2022/07/31 01:41:57 - mmengine - INFO - load model from: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_from_scratch_r50_ig65m_20210617-ce545a37.pth 2022/07/31 01:41:57 - mmengine - INFO - http loads checkpoint from path: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_from_scratch_r50_ig65m_20210617-ce545a37.pth 2022/07/31 01:41:58 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb by HardDiskBackend. 2022/07/31 01:42:28 - mmengine - INFO - Epoch(train) [1][20/2505] lr: 5.0000e-05 eta: 2 days, 12:15:40 time: 1.4934 data_time: 0.5361 memory: 59804 grad_norm: 5.6079 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0208 loss: 6.0208 2022/07/31 01:42:52 - mmengine - INFO - Epoch(train) [1][40/2505] lr: 5.0000e-05 eta: 2 days, 5:53:31 time: 1.1781 data_time: 0.4314 memory: 22242 grad_norm: 4.5694 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0219 loss: 6.0219 2022/07/31 01:43:10 - mmengine - INFO - Epoch(train) [1][60/2505] lr: 5.0000e-05 eta: 1 day, 23:54:33 time: 0.8913 data_time: 0.0809 memory: 22242 grad_norm: 3.8515 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9936 loss: 5.9936 2022/07/31 01:43:29 - mmengine - INFO - Epoch(train) [1][80/2505] lr: 5.0000e-05 eta: 1 day, 21:43:50 time: 0.9722 data_time: 0.2214 memory: 22242 grad_norm: 3.4063 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0044 loss: 6.0044 2022/07/31 01:43:49 - mmengine - INFO - Epoch(train) [1][100/2505] lr: 5.0000e-05 eta: 1 day, 20:45:40 time: 1.0143 data_time: 0.3228 memory: 22242 grad_norm: 3.0598 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9880 loss: 5.9880 2022/07/31 01:44:09 - mmengine - INFO - Epoch(train) [1][120/2505] lr: 5.0000e-05 eta: 1 day, 19:55:30 time: 0.9864 data_time: 0.0666 memory: 22242 grad_norm: 2.9176 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9918 loss: 5.9918 2022/07/31 01:44:28 - mmengine - INFO - Epoch(train) [1][140/2505] lr: 5.0000e-05 eta: 1 day, 19:14:22 time: 0.9713 data_time: 0.0400 memory: 22242 grad_norm: 2.6748 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.9844 loss: 5.9844 2022/07/31 01:44:49 - mmengine - INFO - Epoch(train) [1][160/2505] lr: 5.0000e-05 eta: 1 day, 19:00:31 time: 1.0278 data_time: 0.0594 memory: 22242 grad_norm: 2.7023 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9871 loss: 5.9871 2022/07/31 01:45:07 - mmengine - INFO - Epoch(train) [1][180/2505] lr: 5.0000e-05 eta: 1 day, 18:14:35 time: 0.8972 data_time: 0.0371 memory: 22242 grad_norm: 2.6500 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9880 loss: 5.9880 2022/07/31 01:45:28 - mmengine - INFO - Epoch(train) [1][200/2505] lr: 5.0000e-05 eta: 1 day, 18:18:24 time: 1.0652 data_time: 0.0772 memory: 22242 grad_norm: 2.6315 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9747 loss: 5.9747 2022/07/31 01:45:47 - mmengine - INFO - Epoch(train) [1][220/2505] lr: 5.0000e-05 eta: 1 day, 17:52:18 time: 0.9326 data_time: 0.2287 memory: 22242 grad_norm: 2.7039 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9741 loss: 5.9741 2022/07/31 01:46:06 - mmengine - INFO - Epoch(train) [1][240/2505] lr: 5.0000e-05 eta: 1 day, 17:37:26 time: 0.9670 data_time: 0.2760 memory: 22242 grad_norm: 2.8709 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.9611 loss: 5.9611 2022/07/31 01:46:26 - mmengine - INFO - Epoch(train) [1][260/2505] lr: 5.0000e-05 eta: 1 day, 17:32:04 time: 1.0061 data_time: 0.4052 memory: 22242 grad_norm: 3.2262 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9848 loss: 5.9848 2022/07/31 01:46:46 - mmengine - INFO - Epoch(train) [1][280/2505] lr: 5.0000e-05 eta: 1 day, 17:21:01 time: 0.9689 data_time: 0.1885 memory: 22242 grad_norm: 3.5883 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9735 loss: 5.9735 2022/07/31 01:47:06 - mmengine - INFO - Epoch(train) [1][300/2505] lr: 5.0000e-05 eta: 1 day, 17:19:29 time: 1.0192 data_time: 0.3773 memory: 22242 grad_norm: 3.8753 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9713 loss: 5.9713 2022/07/31 01:47:24 - mmengine - INFO - Epoch(train) [1][320/2505] lr: 5.0000e-05 eta: 1 day, 16:59:34 time: 0.8965 data_time: 0.2459 memory: 22242 grad_norm: 4.5737 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9633 loss: 5.9633 2022/07/31 01:47:46 - mmengine - INFO - Epoch(train) [1][340/2505] lr: 5.0000e-05 eta: 1 day, 17:07:53 time: 1.0788 data_time: 0.2554 memory: 22242 grad_norm: 5.9823 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9399 loss: 5.9399 2022/07/31 01:48:03 - mmengine - INFO - Epoch(train) [1][360/2505] lr: 5.0000e-05 eta: 1 day, 16:47:17 time: 0.8706 data_time: 0.2598 memory: 22242 grad_norm: 7.3768 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9213 loss: 5.9213 2022/07/31 01:48:25 - mmengine - INFO - Epoch(train) [1][380/2505] lr: 5.0000e-05 eta: 1 day, 16:57:10 time: 1.0936 data_time: 0.2459 memory: 22242 grad_norm: 9.3741 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8618 loss: 5.8618 2022/07/31 01:48:42 - mmengine - INFO - Epoch(train) [1][400/2505] lr: 5.0000e-05 eta: 1 day, 16:37:11 time: 0.8548 data_time: 0.1943 memory: 22242 grad_norm: 10.3155 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9035 loss: 5.9035 2022/07/31 01:49:05 - mmengine - INFO - Epoch(train) [1][420/2505] lr: 5.0000e-05 eta: 1 day, 16:51:54 time: 1.1401 data_time: 0.1678 memory: 22242 grad_norm: 11.6284 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 5.8556 loss: 5.8556 2022/07/31 01:49:23 - mmengine - INFO - Epoch(train) [1][440/2505] lr: 5.0000e-05 eta: 1 day, 16:40:48 time: 0.9174 data_time: 0.0656 memory: 22242 grad_norm: 12.8901 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8746 loss: 5.8746 2022/07/31 01:49:43 - mmengine - INFO - Epoch(train) [1][460/2505] lr: 5.0000e-05 eta: 1 day, 16:37:26 time: 0.9822 data_time: 0.0605 memory: 22242 grad_norm: 13.3900 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8665 loss: 5.8665 2022/07/31 01:50:01 - mmengine - INFO - Epoch(train) [1][480/2505] lr: 5.0000e-05 eta: 1 day, 16:25:51 time: 0.8980 data_time: 0.0538 memory: 22242 grad_norm: 12.7658 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8027 loss: 5.8027 2022/07/31 01:50:22 - mmengine - INFO - Epoch(train) [1][500/2505] lr: 5.0000e-05 eta: 1 day, 16:29:17 time: 1.0441 data_time: 0.0620 memory: 22242 grad_norm: 13.1952 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8005 loss: 5.8005 2022/07/31 01:50:41 - mmengine - INFO - Epoch(train) [1][520/2505] lr: 5.0000e-05 eta: 1 day, 16:26:37 time: 0.9816 data_time: 0.0533 memory: 22242 grad_norm: 14.6736 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7724 loss: 5.7724 2022/07/31 01:51:01 - mmengine - INFO - Epoch(train) [1][540/2505] lr: 5.0000e-05 eta: 1 day, 16:23:31 time: 0.9748 data_time: 0.0300 memory: 22242 grad_norm: 13.7979 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8418 loss: 5.8418 2022/07/31 01:51:20 - mmengine - INFO - Epoch(train) [1][560/2505] lr: 5.0000e-05 eta: 1 day, 16:19:26 time: 0.9611 data_time: 0.0276 memory: 22242 grad_norm: 14.1400 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8016 loss: 5.8016 2022/07/31 01:51:42 - mmengine - INFO - Epoch(train) [1][580/2505] lr: 5.0000e-05 eta: 1 day, 16:25:40 time: 1.0819 data_time: 0.0833 memory: 22242 grad_norm: 14.4693 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.7252 loss: 5.7252 2022/07/31 01:51:58 - mmengine - INFO - Epoch(train) [1][600/2505] lr: 5.0000e-05 eta: 1 day, 16:12:04 time: 0.8408 data_time: 0.0847 memory: 22242 grad_norm: 15.2194 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.7134 loss: 5.7134 2022/07/31 01:52:20 - mmengine - INFO - Epoch(train) [1][620/2505] lr: 5.0000e-05 eta: 1 day, 16:18:55 time: 1.0925 data_time: 0.0795 memory: 22242 grad_norm: 15.3157 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.6656 loss: 5.6656 2022/07/31 01:52:37 - mmengine - INFO - Epoch(train) [1][640/2505] lr: 5.0000e-05 eta: 1 day, 16:04:47 time: 0.8202 data_time: 0.0890 memory: 22242 grad_norm: 15.9532 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 5.7385 loss: 5.7385 2022/07/31 01:52:59 - mmengine - INFO - Epoch(train) [1][660/2505] lr: 5.0000e-05 eta: 1 day, 16:13:03 time: 1.1153 data_time: 0.2712 memory: 22242 grad_norm: 15.9125 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 5.7031 loss: 5.7031 2022/07/31 01:53:16 - mmengine - INFO - Epoch(train) [1][680/2505] lr: 5.0000e-05 eta: 1 day, 16:03:00 time: 0.8640 data_time: 0.2216 memory: 22242 grad_norm: 16.2436 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6973 loss: 5.6973 2022/07/31 01:53:38 - mmengine - INFO - Epoch(train) [1][700/2505] lr: 5.0000e-05 eta: 1 day, 16:07:35 time: 1.0684 data_time: 0.3351 memory: 22242 grad_norm: 17.4223 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.6365 loss: 5.6365 2022/07/31 01:53:55 - mmengine - INFO - Epoch(train) [1][720/2505] lr: 5.0000e-05 eta: 1 day, 15:58:19 time: 0.8655 data_time: 0.1901 memory: 22242 grad_norm: 16.1869 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.7142 loss: 5.7142 2022/07/31 01:54:16 - mmengine - INFO - Epoch(train) [1][740/2505] lr: 5.0000e-05 eta: 1 day, 16:03:22 time: 1.0778 data_time: 0.3333 memory: 22242 grad_norm: 16.4725 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.7303 loss: 5.7303 2022/07/31 01:54:33 - mmengine - INFO - Epoch(train) [1][760/2505] lr: 5.0000e-05 eta: 1 day, 15:53:59 time: 0.8549 data_time: 0.2123 memory: 22242 grad_norm: 17.5081 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7338 loss: 5.7338 2022/07/31 01:54:56 - mmengine - INFO - Epoch(train) [1][780/2505] lr: 5.0000e-05 eta: 1 day, 16:00:46 time: 1.1093 data_time: 0.3675 memory: 22242 grad_norm: 17.0312 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 5.6343 loss: 5.6343 2022/07/31 01:55:13 - mmengine - INFO - Epoch(train) [1][800/2505] lr: 5.0000e-05 eta: 1 day, 15:53:46 time: 0.8859 data_time: 0.2981 memory: 22242 grad_norm: 17.6726 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5646 loss: 5.5646 2022/07/31 01:55:35 - mmengine - INFO - Epoch(train) [1][820/2505] lr: 5.0000e-05 eta: 1 day, 15:58:17 time: 1.0767 data_time: 0.4224 memory: 22242 grad_norm: 18.0889 top1_acc: 0.0000 top5_acc: 0.1667 loss_cls: 5.5364 loss: 5.5364 2022/07/31 01:55:53 - mmengine - INFO - Epoch(train) [1][840/2505] lr: 5.0000e-05 eta: 1 day, 15:53:14 time: 0.9136 data_time: 0.2751 memory: 22242 grad_norm: 19.0864 top1_acc: 0.0000 top5_acc: 0.1667 loss_cls: 5.7047 loss: 5.7047 2022/07/31 01:56:15 - mmengine - INFO - Epoch(train) [1][860/2505] lr: 5.0000e-05 eta: 1 day, 15:57:27 time: 1.0754 data_time: 0.4379 memory: 22242 grad_norm: 18.9233 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5095 loss: 5.5095 2022/07/31 01:56:32 - mmengine - INFO - Epoch(train) [1][880/2505] lr: 5.0000e-05 eta: 1 day, 15:51:06 time: 0.8860 data_time: 0.2796 memory: 22242 grad_norm: 18.6889 top1_acc: 0.0833 top5_acc: 0.2500 loss_cls: 5.6813 loss: 5.6813 2022/07/31 01:56:53 - mmengine - INFO - Epoch(train) [1][900/2505] lr: 5.0000e-05 eta: 1 day, 15:53:01 time: 1.0353 data_time: 0.3046 memory: 22242 grad_norm: 18.9504 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5636 loss: 5.5636 2022/07/31 01:57:12 - mmengine - INFO - Epoch(train) [1][920/2505] lr: 5.0000e-05 eta: 1 day, 15:50:31 time: 0.9531 data_time: 0.2143 memory: 22242 grad_norm: 19.6175 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 5.4905 loss: 5.4905 2022/07/31 01:57:32 - mmengine - INFO - Epoch(train) [1][940/2505] lr: 5.0000e-05 eta: 1 day, 15:49:54 time: 0.9879 data_time: 0.1404 memory: 22242 grad_norm: 19.9426 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5009 loss: 5.5009 2022/07/31 01:57:52 - mmengine - INFO - Epoch(train) [1][960/2505] lr: 5.0000e-05 eta: 1 day, 15:51:06 time: 1.0240 data_time: 0.1391 memory: 22242 grad_norm: 19.7848 top1_acc: 0.0833 top5_acc: 0.2500 loss_cls: 5.5490 loss: 5.5490 2022/07/31 01:58:11 - mmengine - INFO - Epoch(train) [1][980/2505] lr: 5.0000e-05 eta: 1 day, 15:47:29 time: 0.9270 data_time: 0.0354 memory: 22242 grad_norm: 20.7025 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 5.5894 loss: 5.5894 2022/07/31 01:58:32 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 01:58:32 - mmengine - INFO - Epoch(train) [1][1000/2505] lr: 5.0000e-05 eta: 1 day, 15:49:15 time: 1.0361 data_time: 0.0484 memory: 22242 grad_norm: 20.9022 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4967 loss: 5.4967 2022/07/31 01:58:50 - mmengine - INFO - Epoch(train) [1][1020/2505] lr: 5.0000e-05 eta: 1 day, 15:45:20 time: 0.9176 data_time: 0.1362 memory: 22242 grad_norm: 20.7469 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 5.4503 loss: 5.4503 2022/07/31 01:59:10 - mmengine - INFO - Epoch(train) [1][1040/2505] lr: 5.0000e-05 eta: 1 day, 15:45:20 time: 0.9993 data_time: 0.1314 memory: 22242 grad_norm: 24.9347 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 5.2947 loss: 5.2947 2022/07/31 01:59:30 - mmengine - INFO - Epoch(train) [1][1060/2505] lr: 5.0000e-05 eta: 1 day, 15:44:23 time: 0.9784 data_time: 0.0958 memory: 22242 grad_norm: 22.6907 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.4056 loss: 5.4056 2022/07/31 01:59:49 - mmengine - INFO - Epoch(train) [1][1080/2505] lr: 5.0000e-05 eta: 1 day, 15:42:02 time: 0.9466 data_time: 0.1071 memory: 22242 grad_norm: 24.3363 top1_acc: 0.1667 top5_acc: 0.4167 loss_cls: 5.3435 loss: 5.3435 2022/07/31 02:00:10 - mmengine - INFO - Epoch(train) [1][1100/2505] lr: 5.0000e-05 eta: 1 day, 15:45:52 time: 1.0861 data_time: 0.4595 memory: 22242 grad_norm: 24.1029 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 5.2660 loss: 5.2660 2022/07/31 02:00:28 - mmengine - INFO - Epoch(train) [1][1120/2505] lr: 5.0000e-05 eta: 1 day, 15:40:36 time: 0.8780 data_time: 0.3416 memory: 22242 grad_norm: 24.3015 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 5.4698 loss: 5.4698 2022/07/31 02:00:48 - mmengine - INFO - Epoch(train) [1][1140/2505] lr: 5.0000e-05 eta: 1 day, 15:41:43 time: 1.0250 data_time: 0.4491 memory: 22242 grad_norm: 26.4589 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.3217 loss: 5.3217 2022/07/31 02:01:07 - mmengine - INFO - Epoch(train) [1][1160/2505] lr: 5.0000e-05 eta: 1 day, 15:37:59 time: 0.9092 data_time: 0.3780 memory: 22242 grad_norm: 25.3117 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 5.4409 loss: 5.4409 2022/07/31 02:01:28 - mmengine - INFO - Epoch(train) [1][1180/2505] lr: 5.0000e-05 eta: 1 day, 15:40:52 time: 1.0689 data_time: 0.5737 memory: 22242 grad_norm: 26.1299 top1_acc: 0.0833 top5_acc: 0.2500 loss_cls: 5.3862 loss: 5.3862 2022/07/31 02:01:46 - mmengine - INFO - Epoch(train) [1][1200/2505] lr: 5.0000e-05 eta: 1 day, 15:36:18 time: 0.8852 data_time: 0.4655 memory: 22242 grad_norm: 25.1794 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 5.2266 loss: 5.2266 2022/07/31 02:02:06 - mmengine - INFO - Epoch(train) [1][1220/2505] lr: 5.0000e-05 eta: 1 day, 15:37:04 time: 1.0177 data_time: 0.4885 memory: 22242 grad_norm: 25.3115 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 5.1936 loss: 5.1936 2022/07/31 02:02:24 - mmengine - INFO - Epoch(train) [1][1240/2505] lr: 5.0000e-05 eta: 1 day, 15:33:39 time: 0.9100 data_time: 0.4152 memory: 22242 grad_norm: 26.6190 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.3838 loss: 5.3838 2022/07/31 02:02:45 - mmengine - INFO - Epoch(train) [1][1260/2505] lr: 5.0000e-05 eta: 1 day, 15:36:16 time: 1.0659 data_time: 0.5406 memory: 22242 grad_norm: 26.2123 top1_acc: 0.0000 top5_acc: 0.1667 loss_cls: 5.2053 loss: 5.2053 2022/07/31 02:03:03 - mmengine - INFO - Epoch(train) [1][1280/2505] lr: 5.0000e-05 eta: 1 day, 15:32:33 time: 0.8999 data_time: 0.4598 memory: 22242 grad_norm: 26.5563 top1_acc: 0.0833 top5_acc: 0.4167 loss_cls: 5.1384 loss: 5.1384 2022/07/31 02:03:25 - mmengine - INFO - Epoch(train) [1][1300/2505] lr: 5.0000e-05 eta: 1 day, 15:35:20 time: 1.0728 data_time: 0.6468 memory: 22242 grad_norm: 28.0560 top1_acc: 0.0833 top5_acc: 0.3333 loss_cls: 5.0593 loss: 5.0593 2022/07/31 02:03:43 - mmengine - INFO - Epoch(train) [1][1320/2505] lr: 5.0000e-05 eta: 1 day, 15:31:28 time: 0.8922 data_time: 0.4419 memory: 22242 grad_norm: 28.3338 top1_acc: 0.1667 top5_acc: 0.2500 loss_cls: 5.0058 loss: 5.0058 2022/07/31 02:04:05 - mmengine - INFO - Epoch(train) [1][1340/2505] lr: 5.0000e-05 eta: 1 day, 15:34:54 time: 1.0938 data_time: 0.6638 memory: 22242 grad_norm: 26.7216 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 5.0246 loss: 5.0246 2022/07/31 02:04:22 - mmengine - INFO - Epoch(train) [1][1360/2505] lr: 5.0000e-05 eta: 1 day, 15:29:49 time: 0.8551 data_time: 0.4354 memory: 22242 grad_norm: 28.6282 top1_acc: 0.0833 top5_acc: 0.2500 loss_cls: 4.9669 loss: 4.9669 2022/07/31 02:04:44 - mmengine - INFO - Epoch(train) [1][1380/2505] lr: 5.0000e-05 eta: 1 day, 15:34:18 time: 1.1261 data_time: 0.6856 memory: 22242 grad_norm: 27.4816 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.9864 loss: 4.9864 2022/07/31 02:05:01 - mmengine - INFO - Epoch(train) [1][1400/2505] lr: 5.0000e-05 eta: 1 day, 15:29:18 time: 0.8536 data_time: 0.4424 memory: 22242 grad_norm: 29.1338 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8796 loss: 4.8796 2022/07/31 02:05:24 - mmengine - INFO - Epoch(train) [1][1420/2505] lr: 5.0000e-05 eta: 1 day, 15:33:41 time: 1.1274 data_time: 0.6923 memory: 22242 grad_norm: 28.8992 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 4.8767 loss: 4.8767 2022/07/31 02:05:41 - mmengine - INFO - Epoch(train) [1][1440/2505] lr: 5.0000e-05 eta: 1 day, 15:28:25 time: 0.8421 data_time: 0.4180 memory: 22242 grad_norm: 31.5103 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.7128 loss: 4.7128 2022/07/31 02:06:03 - mmengine - INFO - Epoch(train) [1][1460/2505] lr: 5.0000e-05 eta: 1 day, 15:31:44 time: 1.0985 data_time: 0.6632 memory: 22242 grad_norm: 29.2343 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 4.9527 loss: 4.9527 2022/07/31 02:06:20 - mmengine - INFO - Epoch(train) [1][1480/2505] lr: 5.0000e-05 eta: 1 day, 15:26:49 time: 0.8479 data_time: 0.4392 memory: 22242 grad_norm: 29.7840 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 4.7320 loss: 4.7320 2022/07/31 02:06:42 - mmengine - INFO - Epoch(train) [1][1500/2505] lr: 5.0000e-05 eta: 1 day, 15:30:54 time: 1.1258 data_time: 0.6962 memory: 22242 grad_norm: 29.9970 top1_acc: 0.4167 top5_acc: 0.4167 loss_cls: 4.8636 loss: 4.8636 2022/07/31 02:06:58 - mmengine - INFO - Epoch(train) [1][1520/2505] lr: 5.0000e-05 eta: 1 day, 15:24:48 time: 0.8063 data_time: 0.4067 memory: 22242 grad_norm: 29.7700 top1_acc: 0.0833 top5_acc: 0.2500 loss_cls: 4.9562 loss: 4.9562 2022/07/31 02:07:20 - mmengine - INFO - Epoch(train) [1][1540/2505] lr: 5.0000e-05 eta: 1 day, 15:28:10 time: 1.1055 data_time: 0.6522 memory: 22242 grad_norm: 30.2509 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 4.8484 loss: 4.8484 2022/07/31 02:07:38 - mmengine - INFO - Epoch(train) [1][1560/2505] lr: 5.0000e-05 eta: 1 day, 15:24:12 time: 0.8703 data_time: 0.4788 memory: 22242 grad_norm: 30.5852 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 4.6983 loss: 4.6983 2022/07/31 02:07:59 - mmengine - INFO - Epoch(train) [1][1580/2505] lr: 5.0000e-05 eta: 1 day, 15:25:42 time: 1.0469 data_time: 0.6155 memory: 22242 grad_norm: 29.2005 top1_acc: 0.1667 top5_acc: 0.5833 loss_cls: 4.9595 loss: 4.9595 2022/07/31 02:08:17 - mmengine - INFO - Epoch(train) [1][1600/2505] lr: 5.0000e-05 eta: 1 day, 15:23:07 time: 0.9125 data_time: 0.4848 memory: 22242 grad_norm: 31.9778 top1_acc: 0.0000 top5_acc: 0.3333 loss_cls: 4.8388 loss: 4.8388 2022/07/31 02:08:38 - mmengine - INFO - Epoch(train) [1][1620/2505] lr: 5.0000e-05 eta: 1 day, 15:25:15 time: 1.0698 data_time: 0.6388 memory: 22242 grad_norm: 31.0581 top1_acc: 0.1667 top5_acc: 0.2500 loss_cls: 4.7452 loss: 4.7452 2022/07/31 02:08:56 - mmengine - INFO - Epoch(train) [1][1640/2505] lr: 5.0000e-05 eta: 1 day, 15:21:11 time: 0.8599 data_time: 0.4398 memory: 22242 grad_norm: 30.5056 top1_acc: 0.1667 top5_acc: 0.1667 loss_cls: 4.6609 loss: 4.6609 2022/07/31 02:09:17 - mmengine - INFO - Epoch(train) [1][1660/2505] lr: 5.0000e-05 eta: 1 day, 15:23:54 time: 1.0918 data_time: 0.6656 memory: 22242 grad_norm: 31.2863 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 4.6089 loss: 4.6089 2022/07/31 02:09:35 - mmengine - INFO - Epoch(train) [1][1680/2505] lr: 5.0000e-05 eta: 1 day, 15:19:46 time: 0.8544 data_time: 0.4311 memory: 22242 grad_norm: 32.0550 top1_acc: 0.1667 top5_acc: 0.5833 loss_cls: 4.7498 loss: 4.7498 2022/07/31 02:09:56 - mmengine - INFO - Epoch(train) [1][1700/2505] lr: 5.0000e-05 eta: 1 day, 15:22:23 time: 1.0903 data_time: 0.6716 memory: 22242 grad_norm: 31.4692 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.5774 loss: 4.5774 2022/07/31 02:10:14 - mmengine - INFO - Epoch(train) [1][1720/2505] lr: 5.0000e-05 eta: 1 day, 15:19:09 time: 0.8825 data_time: 0.4692 memory: 22242 grad_norm: 32.1854 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 4.6190 loss: 4.6190 2022/07/31 02:10:36 - mmengine - INFO - Epoch(train) [1][1740/2505] lr: 5.0000e-05 eta: 1 day, 15:22:36 time: 1.1232 data_time: 0.7001 memory: 22242 grad_norm: 33.5692 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.3761 loss: 4.3761 2022/07/31 02:10:54 - mmengine - INFO - Epoch(train) [1][1760/2505] lr: 5.0000e-05 eta: 1 day, 15:19:21 time: 0.8804 data_time: 0.4536 memory: 22242 grad_norm: 32.3014 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 4.4409 loss: 4.4409 2022/07/31 02:11:16 - mmengine - INFO - Epoch(train) [1][1780/2505] lr: 5.0000e-05 eta: 1 day, 15:22:09 time: 1.1024 data_time: 0.6723 memory: 22242 grad_norm: 32.7232 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 4.4737 loss: 4.4737 2022/07/31 02:11:33 - mmengine - INFO - Epoch(train) [1][1800/2505] lr: 5.0000e-05 eta: 1 day, 15:18:09 time: 0.8496 data_time: 0.4294 memory: 22242 grad_norm: 32.9418 top1_acc: 0.0833 top5_acc: 0.3333 loss_cls: 4.6595 loss: 4.6595 2022/07/31 02:11:55 - mmengine - INFO - Epoch(train) [1][1820/2505] lr: 5.0000e-05 eta: 1 day, 15:20:47 time: 1.0987 data_time: 0.6888 memory: 22242 grad_norm: 34.8250 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 4.4057 loss: 4.4057 2022/07/31 02:12:13 - mmengine - INFO - Epoch(train) [1][1840/2505] lr: 5.0000e-05 eta: 1 day, 15:17:40 time: 0.8801 data_time: 0.4511 memory: 22242 grad_norm: 33.8586 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 4.2271 loss: 4.2271 2022/07/31 02:12:35 - mmengine - INFO - Epoch(train) [1][1860/2505] lr: 5.0000e-05 eta: 1 day, 15:20:19 time: 1.1022 data_time: 0.6839 memory: 22242 grad_norm: 33.3531 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 4.2487 loss: 4.2487 2022/07/31 02:12:52 - mmengine - INFO - Epoch(train) [1][1880/2505] lr: 5.0000e-05 eta: 1 day, 15:16:39 time: 0.8561 data_time: 0.4277 memory: 22242 grad_norm: 32.6145 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 4.3422 loss: 4.3422 2022/07/31 02:13:13 - mmengine - INFO - Epoch(train) [1][1900/2505] lr: 5.0000e-05 eta: 1 day, 15:18:11 time: 1.0599 data_time: 0.6361 memory: 22242 grad_norm: 33.1783 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7207 loss: 4.7207 2022/07/31 02:13:32 - mmengine - INFO - Epoch(train) [1][1920/2505] lr: 5.0000e-05 eta: 1 day, 15:16:17 time: 0.9239 data_time: 0.5224 memory: 22242 grad_norm: 33.5402 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 4.4325 loss: 4.4325 2022/07/31 02:13:53 - mmengine - INFO - Epoch(train) [1][1940/2505] lr: 5.0000e-05 eta: 1 day, 15:18:08 time: 1.0745 data_time: 0.6513 memory: 22242 grad_norm: 33.1763 top1_acc: 0.1667 top5_acc: 0.4167 loss_cls: 4.3431 loss: 4.3431 2022/07/31 02:14:10 - mmengine - INFO - Epoch(train) [1][1960/2505] lr: 5.0000e-05 eta: 1 day, 15:14:58 time: 0.8704 data_time: 0.4606 memory: 22242 grad_norm: 34.5471 top1_acc: 0.1667 top5_acc: 0.4167 loss_cls: 4.1091 loss: 4.1091 2022/07/31 02:14:32 - mmengine - INFO - Epoch(train) [1][1980/2505] lr: 5.0000e-05 eta: 1 day, 15:17:14 time: 1.0938 data_time: 0.6695 memory: 22242 grad_norm: 34.5439 top1_acc: 0.0833 top5_acc: 0.2500 loss_cls: 4.4130 loss: 4.4130 2022/07/31 02:14:49 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 02:14:49 - mmengine - INFO - Epoch(train) [1][2000/2505] lr: 5.0000e-05 eta: 1 day, 15:13:25 time: 0.8404 data_time: 0.4371 memory: 22242 grad_norm: 34.0845 top1_acc: 0.1667 top5_acc: 0.2500 loss_cls: 4.2186 loss: 4.2186 2022/07/31 02:15:12 - mmengine - INFO - Epoch(train) [1][2020/2505] lr: 5.0000e-05 eta: 1 day, 15:16:27 time: 1.1279 data_time: 0.6915 memory: 22242 grad_norm: 33.9550 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 4.4081 loss: 4.4081 2022/07/31 02:15:29 - mmengine - INFO - Epoch(train) [1][2040/2505] lr: 5.0000e-05 eta: 1 day, 15:13:29 time: 0.8744 data_time: 0.4545 memory: 22242 grad_norm: 33.3616 top1_acc: 0.0833 top5_acc: 0.2500 loss_cls: 4.1958 loss: 4.1958 2022/07/31 02:15:51 - mmengine - INFO - Epoch(train) [1][2060/2505] lr: 5.0000e-05 eta: 1 day, 15:15:51 time: 1.1021 data_time: 0.6632 memory: 22242 grad_norm: 34.9148 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.3409 loss: 4.3409 2022/07/31 02:16:08 - mmengine - INFO - Epoch(train) [1][2080/2505] lr: 5.0000e-05 eta: 1 day, 15:12:25 time: 0.8512 data_time: 0.4520 memory: 22242 grad_norm: 36.1985 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 4.0524 loss: 4.0524 2022/07/31 02:16:30 - mmengine - INFO - Epoch(train) [1][2100/2505] lr: 5.0000e-05 eta: 1 day, 15:14:11 time: 1.0780 data_time: 0.6441 memory: 22242 grad_norm: 34.6840 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 4.4471 loss: 4.4471 2022/07/31 02:16:48 - mmengine - INFO - Epoch(train) [1][2120/2505] lr: 5.0000e-05 eta: 1 day, 15:11:53 time: 0.8987 data_time: 0.4779 memory: 22242 grad_norm: 34.6088 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1371 loss: 4.1371 2022/07/31 02:17:09 - mmengine - INFO - Epoch(train) [1][2140/2505] lr: 5.0000e-05 eta: 1 day, 15:13:19 time: 1.0646 data_time: 0.6345 memory: 22242 grad_norm: 34.5248 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 3.9565 loss: 3.9565 2022/07/31 02:17:27 - mmengine - INFO - Epoch(train) [1][2160/2505] lr: 5.0000e-05 eta: 1 day, 15:11:28 time: 0.9177 data_time: 0.4880 memory: 22242 grad_norm: 35.3723 top1_acc: 0.1667 top5_acc: 0.4167 loss_cls: 4.1247 loss: 4.1247 2022/07/31 02:17:48 - mmengine - INFO - Epoch(train) [1][2180/2505] lr: 5.0000e-05 eta: 1 day, 15:11:54 time: 1.0204 data_time: 0.6196 memory: 22242 grad_norm: 37.6490 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 3.9695 loss: 3.9695 2022/07/31 02:18:06 - mmengine - INFO - Epoch(train) [1][2200/2505] lr: 5.0000e-05 eta: 1 day, 15:10:24 time: 0.9321 data_time: 0.5062 memory: 22242 grad_norm: 34.9802 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 4.0893 loss: 4.0893 2022/07/31 02:18:28 - mmengine - INFO - Epoch(train) [1][2220/2505] lr: 5.0000e-05 eta: 1 day, 15:12:01 time: 1.0759 data_time: 0.6534 memory: 22242 grad_norm: 35.4245 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 4.1096 loss: 4.1096 2022/07/31 02:18:46 - mmengine - INFO - Epoch(train) [1][2240/2505] lr: 5.0000e-05 eta: 1 day, 15:09:53 time: 0.9017 data_time: 0.4701 memory: 22242 grad_norm: 34.8698 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 3.9639 loss: 3.9639 2022/07/31 02:19:07 - mmengine - INFO - Epoch(train) [1][2260/2505] lr: 5.0000e-05 eta: 1 day, 15:10:39 time: 1.0379 data_time: 0.6095 memory: 22242 grad_norm: 35.9916 top1_acc: 0.0833 top5_acc: 0.2500 loss_cls: 4.0082 loss: 4.0082 2022/07/31 02:19:25 - mmengine - INFO - Epoch(train) [1][2280/2505] lr: 5.0000e-05 eta: 1 day, 15:08:20 time: 0.8906 data_time: 0.4684 memory: 22242 grad_norm: 34.8644 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 3.9185 loss: 3.9185 2022/07/31 02:19:47 - mmengine - INFO - Epoch(train) [1][2300/2505] lr: 5.0000e-05 eta: 1 day, 15:10:34 time: 1.1090 data_time: 0.6779 memory: 22242 grad_norm: 34.9337 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 4.0321 loss: 4.0321 2022/07/31 02:20:03 - mmengine - INFO - Epoch(train) [1][2320/2505] lr: 5.0000e-05 eta: 1 day, 15:07:01 time: 0.8295 data_time: 0.4229 memory: 22242 grad_norm: 36.3692 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 4.0669 loss: 4.0669 2022/07/31 02:20:25 - mmengine - INFO - Epoch(train) [1][2340/2505] lr: 5.0000e-05 eta: 1 day, 15:08:38 time: 1.0803 data_time: 0.6588 memory: 22242 grad_norm: 34.4265 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 3.9875 loss: 3.9875 2022/07/31 02:20:42 - mmengine - INFO - Epoch(train) [1][2360/2505] lr: 5.0000e-05 eta: 1 day, 15:05:12 time: 0.8322 data_time: 0.4287 memory: 22242 grad_norm: 37.1067 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 3.6980 loss: 3.6980 2022/07/31 02:21:04 - mmengine - INFO - Epoch(train) [1][2380/2505] lr: 5.0000e-05 eta: 1 day, 15:07:31 time: 1.1169 data_time: 0.6979 memory: 22242 grad_norm: 35.6102 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 3.7991 loss: 3.7991 2022/07/31 02:21:21 - mmengine - INFO - Epoch(train) [1][2400/2505] lr: 5.0000e-05 eta: 1 day, 15:04:47 time: 0.8640 data_time: 0.4570 memory: 22242 grad_norm: 36.3998 top1_acc: 0.1667 top5_acc: 0.1667 loss_cls: 3.6552 loss: 3.6552 2022/07/31 02:21:43 - mmengine - INFO - Epoch(train) [1][2420/2505] lr: 5.0000e-05 eta: 1 day, 15:06:08 time: 1.0700 data_time: 0.6535 memory: 22242 grad_norm: 35.7174 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 3.7296 loss: 3.7296 2022/07/31 02:22:00 - mmengine - INFO - Epoch(train) [1][2440/2505] lr: 5.0000e-05 eta: 1 day, 15:03:50 time: 0.8848 data_time: 0.4930 memory: 22242 grad_norm: 36.1442 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 3.8309 loss: 3.8309 2022/07/31 02:22:22 - mmengine - INFO - Epoch(train) [1][2460/2505] lr: 5.0000e-05 eta: 1 day, 15:05:31 time: 1.0880 data_time: 0.6690 memory: 22242 grad_norm: 37.0842 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8150 loss: 3.8150 2022/07/31 02:22:40 - mmengine - INFO - Epoch(train) [1][2480/2505] lr: 5.0000e-05 eta: 1 day, 15:03:46 time: 0.9113 data_time: 0.5103 memory: 22242 grad_norm: 37.4097 top1_acc: 0.1667 top5_acc: 0.5833 loss_cls: 3.8443 loss: 3.8443 2022/07/31 02:22:58 - mmengine - INFO - Epoch(train) [1][2500/2505] lr: 5.0000e-05 eta: 1 day, 15:01:18 time: 0.8725 data_time: 0.4481 memory: 22242 grad_norm: 36.7072 top1_acc: 0.0833 top5_acc: 0.3333 loss_cls: 3.9065 loss: 3.9065 2022/07/31 02:23:18 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 02:23:18 - mmengine - INFO - Epoch(train) [1][2505/2505] lr: 5.0000e-05 eta: 1 day, 15:01:18 time: 1.5510 data_time: 0.2250 memory: 50389 grad_norm: 36.3934 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.9402 loss: 3.9402 2022/07/31 02:23:45 - mmengine - INFO - Epoch(train) [2][20/2505] lr: 8.0000e-05 eta: 1 day, 15:02:16 time: 1.3030 data_time: 0.8424 memory: 22241 grad_norm: 37.9409 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 3.8467 loss: 3.8467 2022/07/31 02:24:02 - mmengine - INFO - Epoch(train) [2][40/2505] lr: 8.0000e-05 eta: 1 day, 15:00:14 time: 0.8927 data_time: 0.3885 memory: 22241 grad_norm: 36.0104 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 3.8026 loss: 3.8026 2022/07/31 02:24:24 - mmengine - INFO - Epoch(train) [2][60/2505] lr: 8.0000e-05 eta: 1 day, 15:01:52 time: 1.0894 data_time: 0.4310 memory: 22241 grad_norm: 38.0752 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 3.6984 loss: 3.6984 2022/07/31 02:24:42 - mmengine - INFO - Epoch(train) [2][80/2505] lr: 8.0000e-05 eta: 1 day, 14:59:57 time: 0.8980 data_time: 0.3047 memory: 22241 grad_norm: 36.6861 top1_acc: 0.3333 top5_acc: 0.3333 loss_cls: 3.9894 loss: 3.9894 2022/07/31 02:25:04 - mmengine - INFO - Epoch(train) [2][100/2505] lr: 8.0000e-05 eta: 1 day, 15:01:31 time: 1.0877 data_time: 0.5574 memory: 22241 grad_norm: 37.3025 top1_acc: 0.0833 top5_acc: 0.3333 loss_cls: 3.6158 loss: 3.6158 2022/07/31 02:25:21 - mmengine - INFO - Epoch(train) [2][120/2505] lr: 8.0000e-05 eta: 1 day, 14:59:06 time: 0.8697 data_time: 0.4042 memory: 22241 grad_norm: 40.1765 top1_acc: 0.0833 top5_acc: 0.2500 loss_cls: 3.4414 loss: 3.4414 2022/07/31 02:25:43 - mmengine - INFO - Epoch(train) [2][140/2505] lr: 8.0000e-05 eta: 1 day, 15:00:50 time: 1.0984 data_time: 0.5474 memory: 22241 grad_norm: 36.5931 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6661 loss: 3.6661 2022/07/31 02:26:00 - mmengine - INFO - Epoch(train) [2][160/2505] lr: 8.0000e-05 eta: 1 day, 14:58:14 time: 0.8572 data_time: 0.3245 memory: 22241 grad_norm: 36.1046 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 3.7496 loss: 3.7496 2022/07/31 02:26:23 - mmengine - INFO - Epoch(train) [2][180/2505] lr: 8.0000e-05 eta: 1 day, 15:00:41 time: 1.1408 data_time: 0.5409 memory: 22241 grad_norm: 38.2189 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 3.4442 loss: 3.4442 2022/07/31 02:26:40 - mmengine - INFO - Epoch(train) [2][200/2505] lr: 8.0000e-05 eta: 1 day, 14:57:55 time: 0.8462 data_time: 0.3642 memory: 22241 grad_norm: 36.7070 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 3.7239 loss: 3.7239 2022/07/31 02:27:02 - mmengine - INFO - Epoch(train) [2][220/2505] lr: 8.0000e-05 eta: 1 day, 14:59:39 time: 1.1017 data_time: 0.5106 memory: 22241 grad_norm: 36.6624 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 3.6999 loss: 3.6999 2022/07/31 02:27:19 - mmengine - INFO - Epoch(train) [2][240/2505] lr: 8.0000e-05 eta: 1 day, 14:56:52 time: 0.8424 data_time: 0.2541 memory: 22241 grad_norm: 37.2435 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 3.6866 loss: 3.6866 2022/07/31 02:27:41 - mmengine - INFO - Epoch(train) [2][260/2505] lr: 8.0000e-05 eta: 1 day, 14:58:15 time: 1.0833 data_time: 0.3980 memory: 22241 grad_norm: 37.0150 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 3.4645 loss: 3.4645 2022/07/31 02:27:59 - mmengine - INFO - Epoch(train) [2][280/2505] lr: 8.0000e-05 eta: 1 day, 14:56:30 time: 0.9011 data_time: 0.2475 memory: 22241 grad_norm: 38.4358 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 3.6133 loss: 3.6133 2022/07/31 02:28:20 - mmengine - INFO - Epoch(train) [2][300/2505] lr: 8.0000e-05 eta: 1 day, 14:57:40 time: 1.0720 data_time: 0.3462 memory: 22241 grad_norm: 38.4208 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 3.2635 loss: 3.2635 2022/07/31 02:28:37 - mmengine - INFO - Epoch(train) [2][320/2505] lr: 8.0000e-05 eta: 1 day, 14:55:17 time: 0.8623 data_time: 0.1850 memory: 22241 grad_norm: 37.1791 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 3.3612 loss: 3.3612 2022/07/31 02:29:01 - mmengine - INFO - Epoch(train) [2][340/2505] lr: 8.0000e-05 eta: 1 day, 14:57:50 time: 1.1557 data_time: 0.0918 memory: 22241 grad_norm: 37.1081 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 3.2136 loss: 3.2136 2022/07/31 02:29:18 - mmengine - INFO - Epoch(train) [2][360/2505] lr: 8.0000e-05 eta: 1 day, 14:55:26 time: 0.8600 data_time: 0.0307 memory: 22241 grad_norm: 38.4469 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 3.5783 loss: 3.5783 2022/07/31 02:29:39 - mmengine - INFO - Epoch(train) [2][380/2505] lr: 8.0000e-05 eta: 1 day, 14:56:30 time: 1.0683 data_time: 0.0972 memory: 22241 grad_norm: 36.4621 top1_acc: 0.1667 top5_acc: 0.1667 loss_cls: 3.4066 loss: 3.4066 2022/07/31 02:29:56 - mmengine - INFO - Epoch(train) [2][400/2505] lr: 8.0000e-05 eta: 1 day, 14:54:06 time: 0.8576 data_time: 0.1693 memory: 22241 grad_norm: 36.8490 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 3.2262 loss: 3.2262 2022/07/31 02:30:19 - mmengine - INFO - Epoch(train) [2][420/2505] lr: 8.0000e-05 eta: 1 day, 14:56:00 time: 1.1215 data_time: 0.0764 memory: 22241 grad_norm: 37.5887 top1_acc: 0.0833 top5_acc: 0.3333 loss_cls: 3.3883 loss: 3.3883 2022/07/31 02:30:36 - mmengine - INFO - Epoch(train) [2][440/2505] lr: 8.0000e-05 eta: 1 day, 14:54:05 time: 0.8858 data_time: 0.0612 memory: 22241 grad_norm: 37.6388 top1_acc: 0.0833 top5_acc: 0.5000 loss_cls: 3.4144 loss: 3.4144 2022/07/31 02:30:58 - mmengine - INFO - Epoch(train) [2][460/2505] lr: 8.0000e-05 eta: 1 day, 14:55:06 time: 1.0676 data_time: 0.1001 memory: 22241 grad_norm: 37.1620 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 3.2722 loss: 3.2722 2022/07/31 02:31:16 - mmengine - INFO - Epoch(train) [2][480/2505] lr: 8.0000e-05 eta: 1 day, 14:53:15 time: 0.8892 data_time: 0.0827 memory: 22241 grad_norm: 38.6484 top1_acc: 0.0833 top5_acc: 0.4167 loss_cls: 3.1805 loss: 3.1805 2022/07/31 02:31:30 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 02:31:37 - mmengine - INFO - Epoch(train) [2][500/2505] lr: 8.0000e-05 eta: 1 day, 14:54:04 time: 1.0564 data_time: 0.1091 memory: 22241 grad_norm: 37.8259 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 3.1832 loss: 3.1832 2022/07/31 02:31:55 - mmengine - INFO - Epoch(train) [2][520/2505] lr: 8.0000e-05 eta: 1 day, 14:52:24 time: 0.8985 data_time: 0.0580 memory: 22241 grad_norm: 36.2004 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 3.0976 loss: 3.0976 2022/07/31 02:32:17 - mmengine - INFO - Epoch(train) [2][540/2505] lr: 8.0000e-05 eta: 1 day, 14:54:19 time: 1.1274 data_time: 0.0300 memory: 22241 grad_norm: 38.1704 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 3.0177 loss: 3.0177 2022/07/31 02:32:34 - mmengine - INFO - Epoch(train) [2][560/2505] lr: 8.0000e-05 eta: 1 day, 14:52:00 time: 0.8569 data_time: 0.0308 memory: 22241 grad_norm: 37.1583 top1_acc: 0.4167 top5_acc: 0.4167 loss_cls: 3.2375 loss: 3.2375 2022/07/31 02:32:57 - mmengine - INFO - Epoch(train) [2][580/2505] lr: 8.0000e-05 eta: 1 day, 14:53:44 time: 1.1177 data_time: 0.0308 memory: 22241 grad_norm: 37.0169 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 3.0899 loss: 3.0899 2022/07/31 02:33:14 - mmengine - INFO - Epoch(train) [2][600/2505] lr: 8.0000e-05 eta: 1 day, 14:51:28 time: 0.8572 data_time: 0.0307 memory: 22241 grad_norm: 36.5201 top1_acc: 0.0000 top5_acc: 0.5833 loss_cls: 3.3383 loss: 3.3383 2022/07/31 02:33:35 - mmengine - INFO - Epoch(train) [2][620/2505] lr: 8.0000e-05 eta: 1 day, 14:52:37 time: 1.0820 data_time: 0.0290 memory: 22241 grad_norm: 37.1351 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 3.0727 loss: 3.0727 2022/07/31 02:33:53 - mmengine - INFO - Epoch(train) [2][640/2505] lr: 8.0000e-05 eta: 1 day, 14:50:33 time: 0.8690 data_time: 0.0291 memory: 22241 grad_norm: 37.3477 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 3.5438 loss: 3.5438 2022/07/31 02:34:15 - mmengine - INFO - Epoch(train) [2][660/2505] lr: 8.0000e-05 eta: 1 day, 14:52:02 time: 1.1042 data_time: 0.0302 memory: 22241 grad_norm: 38.2218 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.7867 loss: 2.7867 2022/07/31 02:34:32 - mmengine - INFO - Epoch(train) [2][680/2505] lr: 8.0000e-05 eta: 1 day, 14:49:31 time: 0.8378 data_time: 0.0314 memory: 22241 grad_norm: 38.1956 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.8798 loss: 2.8798 2022/07/31 02:34:53 - mmengine - INFO - Epoch(train) [2][700/2505] lr: 8.0000e-05 eta: 1 day, 14:50:35 time: 1.0781 data_time: 0.0298 memory: 22241 grad_norm: 38.6942 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 3.2390 loss: 3.2390 2022/07/31 02:35:11 - mmengine - INFO - Epoch(train) [2][720/2505] lr: 8.0000e-05 eta: 1 day, 14:48:54 time: 0.8917 data_time: 0.0320 memory: 22241 grad_norm: 37.2903 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 3.2091 loss: 3.2091 2022/07/31 02:35:34 - mmengine - INFO - Epoch(train) [2][740/2505] lr: 8.0000e-05 eta: 1 day, 14:50:33 time: 1.1194 data_time: 0.0581 memory: 22241 grad_norm: 37.9191 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 3.1923 loss: 3.1923 2022/07/31 02:35:50 - mmengine - INFO - Epoch(train) [2][760/2505] lr: 8.0000e-05 eta: 1 day, 14:47:46 time: 0.8150 data_time: 0.1070 memory: 22241 grad_norm: 38.2205 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.9248 loss: 2.9248 2022/07/31 02:36:12 - mmengine - INFO - Epoch(train) [2][780/2505] lr: 8.0000e-05 eta: 1 day, 14:49:18 time: 1.1119 data_time: 0.1802 memory: 22241 grad_norm: 37.2564 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 3.2308 loss: 3.2308 2022/07/31 02:36:30 - mmengine - INFO - Epoch(train) [2][800/2505] lr: 8.0000e-05 eta: 1 day, 14:47:45 time: 0.8996 data_time: 0.0896 memory: 22241 grad_norm: 37.7213 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 3.0694 loss: 3.0694 2022/07/31 02:36:52 - mmengine - INFO - Epoch(train) [2][820/2505] lr: 8.0000e-05 eta: 1 day, 14:48:43 time: 1.0747 data_time: 0.2054 memory: 22241 grad_norm: 37.2278 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 3.0094 loss: 3.0094 2022/07/31 02:37:09 - mmengine - INFO - Epoch(train) [2][840/2505] lr: 8.0000e-05 eta: 1 day, 14:46:38 time: 0.8594 data_time: 0.2150 memory: 22241 grad_norm: 36.6002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1930 loss: 3.1930 2022/07/31 02:37:30 - mmengine - INFO - Epoch(train) [2][860/2505] lr: 8.0000e-05 eta: 1 day, 14:47:23 time: 1.0601 data_time: 0.1627 memory: 22241 grad_norm: 38.0725 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.9908 loss: 2.9908 2022/07/31 02:37:48 - mmengine - INFO - Epoch(train) [2][880/2505] lr: 8.0000e-05 eta: 1 day, 14:45:53 time: 0.9006 data_time: 0.0721 memory: 22241 grad_norm: 36.6477 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 3.1128 loss: 3.1128 2022/07/31 02:38:10 - mmengine - INFO - Epoch(train) [2][900/2505] lr: 8.0000e-05 eta: 1 day, 14:47:15 time: 1.1048 data_time: 0.1838 memory: 22241 grad_norm: 36.1512 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 3.0344 loss: 3.0344 2022/07/31 02:38:29 - mmengine - INFO - Epoch(train) [2][920/2505] lr: 8.0000e-05 eta: 1 day, 14:46:06 time: 0.9246 data_time: 0.0431 memory: 22241 grad_norm: 36.7522 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 3.0624 loss: 3.0624 2022/07/31 02:38:51 - mmengine - INFO - Epoch(train) [2][940/2505] lr: 8.0000e-05 eta: 1 day, 14:47:38 time: 1.1201 data_time: 0.0454 memory: 22241 grad_norm: 36.4125 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 3.2599 loss: 3.2599 2022/07/31 02:39:08 - mmengine - INFO - Epoch(train) [2][960/2505] lr: 8.0000e-05 eta: 1 day, 14:45:27 time: 0.8487 data_time: 0.0321 memory: 22241 grad_norm: 36.1847 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 3.1651 loss: 3.1651 2022/07/31 02:39:29 - mmengine - INFO - Epoch(train) [2][980/2505] lr: 8.0000e-05 eta: 1 day, 14:46:24 time: 1.0773 data_time: 0.0298 memory: 22241 grad_norm: 36.4578 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 3.0455 loss: 3.0455 2022/07/31 02:39:48 - mmengine - INFO - Epoch(train) [2][1000/2505] lr: 8.0000e-05 eta: 1 day, 14:45:16 time: 0.9254 data_time: 0.0302 memory: 22241 grad_norm: 36.6473 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.8945 loss: 2.8945 2022/07/31 02:40:10 - mmengine - INFO - Epoch(train) [2][1020/2505] lr: 8.0000e-05 eta: 1 day, 14:46:39 time: 1.1108 data_time: 0.0274 memory: 22241 grad_norm: 36.8764 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8580 loss: 2.8580 2022/07/31 02:40:28 - mmengine - INFO - Epoch(train) [2][1040/2505] lr: 8.0000e-05 eta: 1 day, 14:44:54 time: 0.8787 data_time: 0.0298 memory: 22241 grad_norm: 37.3129 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.9666 loss: 2.9666 2022/07/31 02:40:49 - mmengine - INFO - Epoch(train) [2][1060/2505] lr: 8.0000e-05 eta: 1 day, 14:45:52 time: 1.0815 data_time: 0.0336 memory: 22241 grad_norm: 37.4670 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.8357 loss: 2.8357 2022/07/31 02:41:07 - mmengine - INFO - Epoch(train) [2][1080/2505] lr: 8.0000e-05 eta: 1 day, 14:44:17 time: 0.8890 data_time: 0.0300 memory: 22241 grad_norm: 36.2463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9417 loss: 2.9417 2022/07/31 02:41:29 - mmengine - INFO - Epoch(train) [2][1100/2505] lr: 8.0000e-05 eta: 1 day, 14:45:04 time: 1.0691 data_time: 0.0353 memory: 22241 grad_norm: 35.5398 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.9618 loss: 2.9618 2022/07/31 02:41:46 - mmengine - INFO - Epoch(train) [2][1120/2505] lr: 8.0000e-05 eta: 1 day, 14:43:07 time: 0.8601 data_time: 0.0273 memory: 22241 grad_norm: 38.3967 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.7864 loss: 2.7864 2022/07/31 02:42:08 - mmengine - INFO - Epoch(train) [2][1140/2505] lr: 8.0000e-05 eta: 1 day, 14:44:20 time: 1.1038 data_time: 0.0318 memory: 22241 grad_norm: 39.8299 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.7435 loss: 2.7435 2022/07/31 02:42:25 - mmengine - INFO - Epoch(train) [2][1160/2505] lr: 8.0000e-05 eta: 1 day, 14:42:40 time: 0.8806 data_time: 0.0306 memory: 22241 grad_norm: 35.9207 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 3.1233 loss: 3.1233 2022/07/31 02:42:48 - mmengine - INFO - Epoch(train) [2][1180/2505] lr: 8.0000e-05 eta: 1 day, 14:44:05 time: 1.1197 data_time: 0.0345 memory: 22241 grad_norm: 36.9710 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.7946 loss: 2.7946 2022/07/31 02:43:05 - mmengine - INFO - Epoch(train) [2][1200/2505] lr: 8.0000e-05 eta: 1 day, 14:41:58 time: 0.8443 data_time: 0.0294 memory: 22241 grad_norm: 36.6491 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.5550 loss: 2.5550 2022/07/31 02:43:27 - mmengine - INFO - Epoch(train) [2][1220/2505] lr: 8.0000e-05 eta: 1 day, 14:43:19 time: 1.1168 data_time: 0.0324 memory: 22241 grad_norm: 36.8459 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.5320 loss: 2.5320 2022/07/31 02:43:44 - mmengine - INFO - Epoch(train) [2][1240/2505] lr: 8.0000e-05 eta: 1 day, 14:41:16 time: 0.8478 data_time: 0.0321 memory: 22241 grad_norm: 37.4622 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.9143 loss: 2.9143 2022/07/31 02:44:06 - mmengine - INFO - Epoch(train) [2][1260/2505] lr: 8.0000e-05 eta: 1 day, 14:42:24 time: 1.1007 data_time: 0.0297 memory: 22241 grad_norm: 36.3698 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.8002 loss: 2.8002 2022/07/31 02:44:23 - mmengine - INFO - Epoch(train) [2][1280/2505] lr: 8.0000e-05 eta: 1 day, 14:40:16 time: 0.8394 data_time: 0.0306 memory: 22241 grad_norm: 37.0130 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.7181 loss: 2.7181 2022/07/31 02:44:44 - mmengine - INFO - Epoch(train) [2][1300/2505] lr: 8.0000e-05 eta: 1 day, 14:41:03 time: 1.0734 data_time: 0.0344 memory: 22241 grad_norm: 36.5180 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.7064 loss: 2.7064 2022/07/31 02:45:01 - mmengine - INFO - Epoch(train) [2][1320/2505] lr: 8.0000e-05 eta: 1 day, 14:39:01 time: 0.8462 data_time: 0.0295 memory: 22241 grad_norm: 37.5674 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8931 loss: 2.8931 2022/07/31 02:45:23 - mmengine - INFO - Epoch(train) [2][1340/2505] lr: 8.0000e-05 eta: 1 day, 14:39:42 time: 1.0662 data_time: 0.0710 memory: 22241 grad_norm: 35.7438 top1_acc: 0.4167 top5_acc: 0.4167 loss_cls: 2.8053 loss: 2.8053 2022/07/31 02:45:40 - mmengine - INFO - Epoch(train) [2][1360/2505] lr: 8.0000e-05 eta: 1 day, 14:38:17 time: 0.8949 data_time: 0.0728 memory: 22241 grad_norm: 36.2953 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.6080 loss: 2.6080 2022/07/31 02:46:02 - mmengine - INFO - Epoch(train) [2][1380/2505] lr: 8.0000e-05 eta: 1 day, 14:38:53 time: 1.0607 data_time: 0.0463 memory: 22241 grad_norm: 37.3002 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.7110 loss: 2.7110 2022/07/31 02:46:19 - mmengine - INFO - Epoch(train) [2][1400/2505] lr: 8.0000e-05 eta: 1 day, 14:37:16 time: 0.8766 data_time: 0.0552 memory: 22241 grad_norm: 36.4544 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7575 loss: 2.7575 2022/07/31 02:46:41 - mmengine - INFO - Epoch(train) [2][1420/2505] lr: 8.0000e-05 eta: 1 day, 14:37:58 time: 1.0690 data_time: 0.1556 memory: 22241 grad_norm: 37.5153 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.8236 loss: 2.8236 2022/07/31 02:47:00 - mmengine - INFO - Epoch(train) [2][1440/2505] lr: 8.0000e-05 eta: 1 day, 14:37:13 time: 0.9480 data_time: 0.0283 memory: 22241 grad_norm: 36.8594 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.6631 loss: 2.6631 2022/07/31 02:47:21 - mmengine - INFO - Epoch(train) [2][1460/2505] lr: 8.0000e-05 eta: 1 day, 14:37:43 time: 1.0543 data_time: 0.0323 memory: 22241 grad_norm: 36.3526 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.7132 loss: 2.7132 2022/07/31 02:47:39 - mmengine - INFO - Epoch(train) [2][1480/2505] lr: 8.0000e-05 eta: 1 day, 14:36:42 time: 0.9258 data_time: 0.0295 memory: 22241 grad_norm: 36.8481 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 2.8517 loss: 2.8517 2022/07/31 02:47:54 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 02:48:00 - mmengine - INFO - Epoch(train) [2][1500/2505] lr: 8.0000e-05 eta: 1 day, 14:37:19 time: 1.0635 data_time: 0.0311 memory: 22241 grad_norm: 37.1576 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.5551 loss: 2.5551 2022/07/31 02:48:18 - mmengine - INFO - Epoch(train) [2][1520/2505] lr: 8.0000e-05 eta: 1 day, 14:35:53 time: 0.8899 data_time: 0.0270 memory: 22241 grad_norm: 37.4920 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.7533 loss: 2.7533 2022/07/31 02:48:40 - mmengine - INFO - Epoch(train) [2][1540/2505] lr: 8.0000e-05 eta: 1 day, 14:36:51 time: 1.0947 data_time: 0.0310 memory: 22241 grad_norm: 36.1936 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.8406 loss: 2.8406 2022/07/31 02:48:58 - mmengine - INFO - Epoch(train) [2][1560/2505] lr: 8.0000e-05 eta: 1 day, 14:35:19 time: 0.8796 data_time: 0.0271 memory: 22241 grad_norm: 36.3793 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.7729 loss: 2.7729 2022/07/31 02:49:20 - mmengine - INFO - Epoch(train) [2][1580/2505] lr: 8.0000e-05 eta: 1 day, 14:36:25 time: 1.1082 data_time: 0.0297 memory: 22241 grad_norm: 36.0110 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 2.8087 loss: 2.8087 2022/07/31 02:49:38 - mmengine - INFO - Epoch(train) [2][1600/2505] lr: 8.0000e-05 eta: 1 day, 14:35:06 time: 0.8985 data_time: 0.0285 memory: 22241 grad_norm: 35.3632 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.6538 loss: 2.6538 2022/07/31 02:50:00 - mmengine - INFO - Epoch(train) [2][1620/2505] lr: 8.0000e-05 eta: 1 day, 14:35:59 time: 1.0894 data_time: 0.0323 memory: 22241 grad_norm: 36.7749 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.8601 loss: 2.8601 2022/07/31 02:50:18 - mmengine - INFO - Epoch(train) [2][1640/2505] lr: 8.0000e-05 eta: 1 day, 14:34:51 time: 0.9139 data_time: 0.0280 memory: 22241 grad_norm: 35.5301 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.9894 loss: 2.9894 2022/07/31 02:50:39 - mmengine - INFO - Epoch(train) [2][1660/2505] lr: 8.0000e-05 eta: 1 day, 14:35:28 time: 1.0679 data_time: 0.0325 memory: 22241 grad_norm: 35.8851 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.9632 loss: 2.9632 2022/07/31 02:50:58 - mmengine - INFO - Epoch(train) [2][1680/2505] lr: 8.0000e-05 eta: 1 day, 14:34:25 time: 0.9202 data_time: 0.0307 memory: 22241 grad_norm: 35.9012 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.8248 loss: 2.8248 2022/07/31 02:51:19 - mmengine - INFO - Epoch(train) [2][1700/2505] lr: 8.0000e-05 eta: 1 day, 14:35:17 time: 1.0909 data_time: 0.0318 memory: 22241 grad_norm: 36.9642 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.8218 loss: 2.8218 2022/07/31 02:51:38 - mmengine - INFO - Epoch(train) [2][1720/2505] lr: 8.0000e-05 eta: 1 day, 14:34:06 time: 0.9071 data_time: 0.0283 memory: 22241 grad_norm: 36.6645 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.9146 loss: 2.9146 2022/07/31 02:51:57 - mmengine - INFO - Epoch(train) [2][1740/2505] lr: 8.0000e-05 eta: 1 day, 14:33:42 time: 0.9788 data_time: 0.0624 memory: 22241 grad_norm: 35.3440 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.7523 loss: 2.7523 2022/07/31 02:52:17 - mmengine - INFO - Epoch(train) [2][1760/2505] lr: 8.0000e-05 eta: 1 day, 14:33:25 time: 0.9871 data_time: 0.0310 memory: 22241 grad_norm: 38.3253 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.8068 loss: 2.8068 2022/07/31 02:52:36 - mmengine - INFO - Epoch(train) [2][1780/2505] lr: 8.0000e-05 eta: 1 day, 14:32:41 time: 0.9485 data_time: 0.0306 memory: 22241 grad_norm: 38.3209 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.7952 loss: 2.7952 2022/07/31 02:52:55 - mmengine - INFO - Epoch(train) [2][1800/2505] lr: 8.0000e-05 eta: 1 day, 14:32:11 time: 0.9673 data_time: 0.0296 memory: 22241 grad_norm: 37.1912 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.4832 loss: 2.4832 2022/07/31 02:53:16 - mmengine - INFO - Epoch(train) [2][1820/2505] lr: 8.0000e-05 eta: 1 day, 14:32:37 time: 1.0547 data_time: 0.0284 memory: 22241 grad_norm: 36.5636 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7814 loss: 2.7814 2022/07/31 02:53:35 - mmengine - INFO - Epoch(train) [2][1840/2505] lr: 8.0000e-05 eta: 1 day, 14:31:31 time: 0.9124 data_time: 0.0303 memory: 22241 grad_norm: 36.1872 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.7468 loss: 2.7468 2022/07/31 02:53:55 - mmengine - INFO - Epoch(train) [2][1860/2505] lr: 8.0000e-05 eta: 1 day, 14:31:43 time: 1.0338 data_time: 0.0313 memory: 22241 grad_norm: 34.5268 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.6139 loss: 2.6139 2022/07/31 02:54:14 - mmengine - INFO - Epoch(train) [2][1880/2505] lr: 8.0000e-05 eta: 1 day, 14:30:57 time: 0.9437 data_time: 0.0287 memory: 22241 grad_norm: 35.6320 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.7863 loss: 2.7863 2022/07/31 02:54:34 - mmengine - INFO - Epoch(train) [2][1900/2505] lr: 8.0000e-05 eta: 1 day, 14:30:59 time: 1.0175 data_time: 0.0262 memory: 22241 grad_norm: 35.3361 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 2.8094 loss: 2.8094 2022/07/31 02:54:53 - mmengine - INFO - Epoch(train) [2][1920/2505] lr: 8.0000e-05 eta: 1 day, 14:30:15 time: 0.9462 data_time: 0.0287 memory: 22241 grad_norm: 36.9607 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 2.7722 loss: 2.7722 2022/07/31 02:55:14 - mmengine - INFO - Epoch(train) [2][1940/2505] lr: 8.0000e-05 eta: 1 day, 14:30:37 time: 1.0485 data_time: 0.0491 memory: 22241 grad_norm: 36.6672 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.7256 loss: 2.7256 2022/07/31 02:55:34 - mmengine - INFO - Epoch(train) [2][1960/2505] lr: 8.0000e-05 eta: 1 day, 14:30:09 time: 0.9717 data_time: 0.0292 memory: 22241 grad_norm: 35.9013 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.6961 loss: 2.6961 2022/07/31 02:55:53 - mmengine - INFO - Epoch(train) [2][1980/2505] lr: 8.0000e-05 eta: 1 day, 14:29:37 time: 0.9655 data_time: 0.0342 memory: 22241 grad_norm: 36.5598 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.9877 loss: 2.9877 2022/07/31 02:56:13 - mmengine - INFO - Epoch(train) [2][2000/2505] lr: 8.0000e-05 eta: 1 day, 14:29:18 time: 0.9844 data_time: 0.0326 memory: 22241 grad_norm: 35.7728 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.3210 loss: 2.3210 2022/07/31 02:56:32 - mmengine - INFO - Epoch(train) [2][2020/2505] lr: 8.0000e-05 eta: 1 day, 14:28:52 time: 0.9742 data_time: 0.0288 memory: 22241 grad_norm: 35.2094 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.5389 loss: 2.5389 2022/07/31 02:56:52 - mmengine - INFO - Epoch(train) [2][2040/2505] lr: 8.0000e-05 eta: 1 day, 14:28:45 time: 1.0054 data_time: 0.0291 memory: 22241 grad_norm: 35.4438 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.9493 loss: 2.9493 2022/07/31 02:57:11 - mmengine - INFO - Epoch(train) [2][2060/2505] lr: 8.0000e-05 eta: 1 day, 14:27:51 time: 0.9277 data_time: 0.0318 memory: 22241 grad_norm: 35.1487 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.7538 loss: 2.7538 2022/07/31 02:57:31 - mmengine - INFO - Epoch(train) [2][2080/2505] lr: 8.0000e-05 eta: 1 day, 14:27:49 time: 1.0130 data_time: 0.0287 memory: 22241 grad_norm: 35.5338 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.5428 loss: 2.5428 2022/07/31 02:57:51 - mmengine - INFO - Epoch(train) [2][2100/2505] lr: 8.0000e-05 eta: 1 day, 14:27:39 time: 1.0002 data_time: 0.0273 memory: 22241 grad_norm: 35.9558 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.4442 loss: 2.4442 2022/07/31 02:58:11 - mmengine - INFO - Epoch(train) [2][2120/2505] lr: 8.0000e-05 eta: 1 day, 14:27:30 time: 1.0017 data_time: 0.0308 memory: 22241 grad_norm: 34.3880 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.6884 loss: 2.6884 2022/07/31 02:58:30 - mmengine - INFO - Epoch(train) [2][2140/2505] lr: 8.0000e-05 eta: 1 day, 14:26:43 time: 0.9382 data_time: 0.0293 memory: 22241 grad_norm: 35.5224 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.6847 loss: 2.6847 2022/07/31 02:58:50 - mmengine - INFO - Epoch(train) [2][2160/2505] lr: 8.0000e-05 eta: 1 day, 14:26:34 time: 1.0028 data_time: 0.0245 memory: 22241 grad_norm: 35.8543 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.6612 loss: 2.6612 2022/07/31 02:59:10 - mmengine - INFO - Epoch(train) [2][2180/2505] lr: 8.0000e-05 eta: 1 day, 14:26:08 time: 0.9727 data_time: 0.0255 memory: 22241 grad_norm: 35.3951 top1_acc: 0.1667 top5_acc: 0.5833 loss_cls: 2.4292 loss: 2.4292 2022/07/31 02:59:29 - mmengine - INFO - Epoch(train) [2][2200/2505] lr: 8.0000e-05 eta: 1 day, 14:25:43 time: 0.9750 data_time: 0.0316 memory: 22241 grad_norm: 35.7155 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 2.7369 loss: 2.7369 2022/07/31 02:59:49 - mmengine - INFO - Epoch(train) [2][2220/2505] lr: 8.0000e-05 eta: 1 day, 14:25:40 time: 1.0128 data_time: 0.0378 memory: 22241 grad_norm: 35.0329 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.6886 loss: 2.6886 2022/07/31 03:00:09 - mmengine - INFO - Epoch(train) [2][2240/2505] lr: 8.0000e-05 eta: 1 day, 14:25:20 time: 0.9836 data_time: 0.1120 memory: 22241 grad_norm: 35.6011 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.3846 loss: 2.3846 2022/07/31 03:00:29 - mmengine - INFO - Epoch(train) [2][2260/2505] lr: 8.0000e-05 eta: 1 day, 14:25:21 time: 1.0196 data_time: 0.0497 memory: 22241 grad_norm: 34.8871 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.3528 loss: 2.3528 2022/07/31 03:00:48 - mmengine - INFO - Epoch(train) [2][2280/2505] lr: 8.0000e-05 eta: 1 day, 14:24:44 time: 0.9543 data_time: 0.0284 memory: 22241 grad_norm: 36.6047 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.5678 loss: 2.5678 2022/07/31 03:01:08 - mmengine - INFO - Epoch(train) [2][2300/2505] lr: 8.0000e-05 eta: 1 day, 14:24:33 time: 0.9993 data_time: 0.1134 memory: 22241 grad_norm: 34.9729 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.5152 loss: 2.5152 2022/07/31 03:01:28 - mmengine - INFO - Epoch(train) [2][2320/2505] lr: 8.0000e-05 eta: 1 day, 14:24:16 time: 0.9890 data_time: 0.0522 memory: 22241 grad_norm: 34.2679 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.5167 loss: 2.5167 2022/07/31 03:01:47 - mmengine - INFO - Epoch(train) [2][2340/2505] lr: 8.0000e-05 eta: 1 day, 14:23:27 time: 0.9340 data_time: 0.0329 memory: 22241 grad_norm: 36.2097 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.7137 loss: 2.7137 2022/07/31 03:02:07 - mmengine - INFO - Epoch(train) [2][2360/2505] lr: 8.0000e-05 eta: 1 day, 14:23:17 time: 0.9999 data_time: 0.0305 memory: 22241 grad_norm: 35.1861 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.4687 loss: 2.4687 2022/07/31 03:02:26 - mmengine - INFO - Epoch(train) [2][2380/2505] lr: 8.0000e-05 eta: 1 day, 14:22:48 time: 0.9689 data_time: 0.0313 memory: 22241 grad_norm: 36.4323 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.6264 loss: 2.6264 2022/07/31 03:02:46 - mmengine - INFO - Epoch(train) [2][2400/2505] lr: 8.0000e-05 eta: 1 day, 14:22:26 time: 0.9798 data_time: 0.0303 memory: 22241 grad_norm: 37.0845 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.4774 loss: 2.4774 2022/07/31 03:03:06 - mmengine - INFO - Epoch(train) [2][2420/2505] lr: 8.0000e-05 eta: 1 day, 14:22:08 time: 0.9869 data_time: 0.0311 memory: 22241 grad_norm: 35.5593 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.7229 loss: 2.7229 2022/07/31 03:03:25 - mmengine - INFO - Epoch(train) [2][2440/2505] lr: 8.0000e-05 eta: 1 day, 14:21:53 time: 0.9916 data_time: 0.0279 memory: 22241 grad_norm: 35.4882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5255 loss: 2.5255 2022/07/31 03:03:44 - mmengine - INFO - Epoch(train) [2][2460/2505] lr: 8.0000e-05 eta: 1 day, 14:21:00 time: 0.9254 data_time: 0.0304 memory: 22241 grad_norm: 34.6104 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.6739 loss: 2.6739 2022/07/31 03:04:04 - mmengine - INFO - Epoch(train) [2][2480/2505] lr: 8.0000e-05 eta: 1 day, 14:20:51 time: 1.0041 data_time: 0.0290 memory: 22241 grad_norm: 34.5882 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2898 loss: 2.2898 2022/07/31 03:04:19 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 03:04:21 - mmengine - INFO - Epoch(train) [2][2500/2505] lr: 8.0000e-05 eta: 1 day, 14:19:26 time: 0.8664 data_time: 0.0950 memory: 22241 grad_norm: 35.8325 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.6513 loss: 2.6513 2022/07/31 03:04:23 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 03:04:23 - mmengine - INFO - Epoch(train) [2][2505/2505] lr: 8.0000e-05 eta: 1 day, 14:19:26 time: 0.6289 data_time: 0.0819 memory: 22241 grad_norm: 36.4086 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.5452 loss: 2.5452 2022/07/31 03:04:23 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/07/31 03:04:51 - mmengine - INFO - Epoch(train) [3][20/2505] lr: 1.1000e-04 eta: 1 day, 14:19:34 time: 1.2870 data_time: 0.8759 memory: 22241 grad_norm: 36.7907 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.6279 loss: 2.6279 2022/07/31 03:05:08 - mmengine - INFO - Epoch(train) [3][40/2505] lr: 1.1000e-04 eta: 1 day, 14:18:19 time: 0.8852 data_time: 0.4810 memory: 22241 grad_norm: 35.2342 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.7349 loss: 2.7349 2022/07/31 03:05:29 - mmengine - INFO - Epoch(train) [3][60/2505] lr: 1.1000e-04 eta: 1 day, 14:18:43 time: 1.0611 data_time: 0.6704 memory: 22241 grad_norm: 35.3097 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.5039 loss: 2.5039 2022/07/31 03:05:48 - mmengine - INFO - Epoch(train) [3][80/2505] lr: 1.1000e-04 eta: 1 day, 14:17:44 time: 0.9128 data_time: 0.5156 memory: 22241 grad_norm: 36.5803 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.4428 loss: 2.4428 2022/07/31 03:06:10 - mmengine - INFO - Epoch(train) [3][100/2505] lr: 1.1000e-04 eta: 1 day, 14:18:31 time: 1.1059 data_time: 0.7167 memory: 22241 grad_norm: 35.8991 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.6584 loss: 2.6584 2022/07/31 03:06:28 - mmengine - INFO - Epoch(train) [3][120/2505] lr: 1.1000e-04 eta: 1 day, 14:17:26 time: 0.8994 data_time: 0.4835 memory: 22241 grad_norm: 35.7306 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.4451 loss: 2.4451 2022/07/31 03:06:49 - mmengine - INFO - Epoch(train) [3][140/2505] lr: 1.1000e-04 eta: 1 day, 14:17:56 time: 1.0758 data_time: 0.6655 memory: 22241 grad_norm: 35.5441 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.2806 loss: 2.2806 2022/07/31 03:07:08 - mmengine - INFO - Epoch(train) [3][160/2505] lr: 1.1000e-04 eta: 1 day, 14:17:04 time: 0.9241 data_time: 0.5020 memory: 22241 grad_norm: 36.4629 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 2.6464 loss: 2.6464 2022/07/31 03:07:30 - mmengine - INFO - Epoch(train) [3][180/2505] lr: 1.1000e-04 eta: 1 day, 14:17:55 time: 1.1152 data_time: 0.7219 memory: 22241 grad_norm: 34.9317 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.4818 loss: 2.4818 2022/07/31 03:07:47 - mmengine - INFO - Epoch(train) [3][200/2505] lr: 1.1000e-04 eta: 1 day, 14:16:28 time: 0.8579 data_time: 0.4418 memory: 22241 grad_norm: 37.3346 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.7533 loss: 2.7533 2022/07/31 03:08:10 - mmengine - INFO - Epoch(train) [3][220/2505] lr: 1.1000e-04 eta: 1 day, 14:17:28 time: 1.1323 data_time: 0.7127 memory: 22241 grad_norm: 35.4539 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 2.6919 loss: 2.6919 2022/07/31 03:08:27 - mmengine - INFO - Epoch(train) [3][240/2505] lr: 1.1000e-04 eta: 1 day, 14:16:07 time: 0.8688 data_time: 0.4394 memory: 22241 grad_norm: 35.5617 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.7053 loss: 2.7053 2022/07/31 03:08:49 - mmengine - INFO - Epoch(train) [3][260/2505] lr: 1.1000e-04 eta: 1 day, 14:16:40 time: 1.0839 data_time: 0.6807 memory: 22241 grad_norm: 35.6639 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.7501 loss: 2.7501 2022/07/31 03:09:06 - mmengine - INFO - Epoch(train) [3][280/2505] lr: 1.1000e-04 eta: 1 day, 14:15:16 time: 0.8617 data_time: 0.4618 memory: 22241 grad_norm: 34.3607 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.6102 loss: 2.6102 2022/07/31 03:09:29 - mmengine - INFO - Epoch(train) [3][300/2505] lr: 1.1000e-04 eta: 1 day, 14:16:14 time: 1.1308 data_time: 0.7235 memory: 22241 grad_norm: 36.1006 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 2.5340 loss: 2.5340 2022/07/31 03:09:46 - mmengine - INFO - Epoch(train) [3][320/2505] lr: 1.1000e-04 eta: 1 day, 14:14:41 time: 0.8446 data_time: 0.4344 memory: 22241 grad_norm: 35.3665 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.6191 loss: 2.6191 2022/07/31 03:10:07 - mmengine - INFO - Epoch(train) [3][340/2505] lr: 1.1000e-04 eta: 1 day, 14:15:12 time: 1.0813 data_time: 0.6615 memory: 22241 grad_norm: 34.9348 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4552 loss: 2.4552 2022/07/31 03:10:25 - mmengine - INFO - Epoch(train) [3][360/2505] lr: 1.1000e-04 eta: 1 day, 14:13:54 time: 0.8718 data_time: 0.4271 memory: 22241 grad_norm: 35.7140 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.2811 loss: 2.2811 2022/07/31 03:10:46 - mmengine - INFO - Epoch(train) [3][380/2505] lr: 1.1000e-04 eta: 1 day, 14:14:23 time: 1.0784 data_time: 0.6714 memory: 22241 grad_norm: 36.0357 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.1848 loss: 2.1848 2022/07/31 03:11:04 - mmengine - INFO - Epoch(train) [3][400/2505] lr: 1.1000e-04 eta: 1 day, 14:13:01 time: 0.8630 data_time: 0.4186 memory: 22241 grad_norm: 35.5416 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.4923 loss: 2.4923 2022/07/31 03:11:27 - mmengine - INFO - Epoch(train) [3][420/2505] lr: 1.1000e-04 eta: 1 day, 14:14:06 time: 1.1486 data_time: 0.7374 memory: 22241 grad_norm: 34.4074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4606 loss: 2.4606 2022/07/31 03:11:44 - mmengine - INFO - Epoch(train) [3][440/2505] lr: 1.1000e-04 eta: 1 day, 14:12:37 time: 0.8490 data_time: 0.4432 memory: 22241 grad_norm: 33.5080 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.4124 loss: 2.4124 2022/07/31 03:12:07 - mmengine - INFO - Epoch(train) [3][460/2505] lr: 1.1000e-04 eta: 1 day, 14:13:45 time: 1.1539 data_time: 0.7221 memory: 22241 grad_norm: 34.9319 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.3824 loss: 2.3824 2022/07/31 03:12:23 - mmengine - INFO - Epoch(train) [3][480/2505] lr: 1.1000e-04 eta: 1 day, 14:12:10 time: 0.8370 data_time: 0.4435 memory: 22241 grad_norm: 34.2955 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.2742 loss: 2.2742 2022/07/31 03:12:46 - mmengine - INFO - Epoch(train) [3][500/2505] lr: 1.1000e-04 eta: 1 day, 14:12:51 time: 1.1036 data_time: 0.6802 memory: 22241 grad_norm: 34.0709 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.4194 loss: 2.4194 2022/07/31 03:13:03 - mmengine - INFO - Epoch(train) [3][520/2505] lr: 1.1000e-04 eta: 1 day, 14:11:39 time: 0.8802 data_time: 0.4879 memory: 22241 grad_norm: 34.2619 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.3278 loss: 2.3278 2022/07/31 03:13:25 - mmengine - INFO - Epoch(train) [3][540/2505] lr: 1.1000e-04 eta: 1 day, 14:12:12 time: 1.0879 data_time: 0.6511 memory: 22241 grad_norm: 35.7534 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.5072 loss: 2.5072 2022/07/31 03:13:42 - mmengine - INFO - Epoch(train) [3][560/2505] lr: 1.1000e-04 eta: 1 day, 14:10:41 time: 0.8423 data_time: 0.4223 memory: 22241 grad_norm: 34.1679 top1_acc: 0.1667 top5_acc: 0.4167 loss_cls: 2.6037 loss: 2.6037 2022/07/31 03:14:03 - mmengine - INFO - Epoch(train) [3][580/2505] lr: 1.1000e-04 eta: 1 day, 14:11:10 time: 1.0819 data_time: 0.6407 memory: 22241 grad_norm: 34.9758 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.4446 loss: 2.4446 2022/07/31 03:14:21 - mmengine - INFO - Epoch(train) [3][600/2505] lr: 1.1000e-04 eta: 1 day, 14:10:00 time: 0.8839 data_time: 0.4873 memory: 22241 grad_norm: 34.2513 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.5327 loss: 2.5327 2022/07/31 03:14:43 - mmengine - INFO - Epoch(train) [3][620/2505] lr: 1.1000e-04 eta: 1 day, 14:10:40 time: 1.1032 data_time: 0.6451 memory: 22241 grad_norm: 34.9238 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.3456 loss: 2.3456 2022/07/31 03:15:01 - mmengine - INFO - Epoch(train) [3][640/2505] lr: 1.1000e-04 eta: 1 day, 14:09:28 time: 0.8773 data_time: 0.4676 memory: 22241 grad_norm: 34.8997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7701 loss: 2.7701 2022/07/31 03:15:23 - mmengine - INFO - Epoch(train) [3][660/2505] lr: 1.1000e-04 eta: 1 day, 14:10:16 time: 1.1210 data_time: 0.7308 memory: 22241 grad_norm: 34.5146 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.4484 loss: 2.4484 2022/07/31 03:15:40 - mmengine - INFO - Epoch(train) [3][680/2505] lr: 1.1000e-04 eta: 1 day, 14:08:59 time: 0.8689 data_time: 0.4613 memory: 22241 grad_norm: 37.1211 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2973 loss: 2.2973 2022/07/31 03:16:02 - mmengine - INFO - Epoch(train) [3][700/2505] lr: 1.1000e-04 eta: 1 day, 14:09:23 time: 1.0723 data_time: 0.6591 memory: 22241 grad_norm: 34.5385 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.5293 loss: 2.5293 2022/07/31 03:16:19 - mmengine - INFO - Epoch(train) [3][720/2505] lr: 1.1000e-04 eta: 1 day, 14:08:04 time: 0.8627 data_time: 0.4603 memory: 22241 grad_norm: 34.6060 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.6218 loss: 2.6218 2022/07/31 03:16:42 - mmengine - INFO - Epoch(train) [3][740/2505] lr: 1.1000e-04 eta: 1 day, 14:08:50 time: 1.1198 data_time: 0.7109 memory: 22241 grad_norm: 34.6350 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.4658 loss: 2.4658 2022/07/31 03:16:59 - mmengine - INFO - Epoch(train) [3][760/2505] lr: 1.1000e-04 eta: 1 day, 14:07:47 time: 0.8929 data_time: 0.4871 memory: 22241 grad_norm: 36.3195 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.5935 loss: 2.5935 2022/07/31 03:17:21 - mmengine - INFO - Epoch(train) [3][780/2505] lr: 1.1000e-04 eta: 1 day, 14:08:24 time: 1.1023 data_time: 0.6521 memory: 22241 grad_norm: 33.9987 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3391 loss: 2.3391 2022/07/31 03:17:39 - mmengine - INFO - Epoch(train) [3][800/2505] lr: 1.1000e-04 eta: 1 day, 14:07:24 time: 0.9009 data_time: 0.4417 memory: 22241 grad_norm: 34.1695 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4563 loss: 2.4563 2022/07/31 03:18:01 - mmengine - INFO - Epoch(train) [3][820/2505] lr: 1.1000e-04 eta: 1 day, 14:08:00 time: 1.1003 data_time: 0.7076 memory: 22241 grad_norm: 34.0175 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.5092 loss: 2.5092 2022/07/31 03:18:19 - mmengine - INFO - Epoch(train) [3][840/2505] lr: 1.1000e-04 eta: 1 day, 14:06:49 time: 0.8754 data_time: 0.4487 memory: 22241 grad_norm: 36.1336 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.4415 loss: 2.4415 2022/07/31 03:18:41 - mmengine - INFO - Epoch(train) [3][860/2505] lr: 1.1000e-04 eta: 1 day, 14:07:26 time: 1.1032 data_time: 0.6765 memory: 22241 grad_norm: 34.7155 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.3192 loss: 2.3192 2022/07/31 03:18:58 - mmengine - INFO - Epoch(train) [3][880/2505] lr: 1.1000e-04 eta: 1 day, 14:06:12 time: 0.8706 data_time: 0.2835 memory: 22241 grad_norm: 35.0758 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.6905 loss: 2.6905 2022/07/31 03:19:20 - mmengine - INFO - Epoch(train) [3][900/2505] lr: 1.1000e-04 eta: 1 day, 14:06:35 time: 1.0736 data_time: 0.4005 memory: 22241 grad_norm: 35.3822 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.5094 loss: 2.5094 2022/07/31 03:19:37 - mmengine - INFO - Epoch(train) [3][920/2505] lr: 1.1000e-04 eta: 1 day, 14:05:25 time: 0.8789 data_time: 0.2323 memory: 22241 grad_norm: 34.7787 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.4467 loss: 2.4467 2022/07/31 03:19:59 - mmengine - INFO - Epoch(train) [3][940/2505] lr: 1.1000e-04 eta: 1 day, 14:05:41 time: 1.0587 data_time: 0.4075 memory: 22241 grad_norm: 33.5476 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.2329 loss: 2.2329 2022/07/31 03:20:17 - mmengine - INFO - Epoch(train) [3][960/2505] lr: 1.1000e-04 eta: 1 day, 14:04:46 time: 0.9084 data_time: 0.2580 memory: 22241 grad_norm: 34.6114 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.4674 loss: 2.4674 2022/07/31 03:20:39 - mmengine - INFO - Epoch(train) [3][980/2505] lr: 1.1000e-04 eta: 1 day, 14:05:18 time: 1.0961 data_time: 0.2865 memory: 22241 grad_norm: 35.2868 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.6086 loss: 2.6086 2022/07/31 03:20:47 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 03:20:56 - mmengine - INFO - Epoch(train) [3][1000/2505] lr: 1.1000e-04 eta: 1 day, 14:04:06 time: 0.8702 data_time: 0.1532 memory: 22241 grad_norm: 34.2146 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.4250 loss: 2.4250 2022/07/31 03:21:18 - mmengine - INFO - Epoch(train) [3][1020/2505] lr: 1.1000e-04 eta: 1 day, 14:04:43 time: 1.1085 data_time: 0.1677 memory: 22241 grad_norm: 35.7261 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4724 loss: 2.4724 2022/07/31 03:21:36 - mmengine - INFO - Epoch(train) [3][1040/2505] lr: 1.1000e-04 eta: 1 day, 14:03:27 time: 0.8620 data_time: 0.0398 memory: 22241 grad_norm: 34.8656 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3739 loss: 2.3739 2022/07/31 03:21:58 - mmengine - INFO - Epoch(train) [3][1060/2505] lr: 1.1000e-04 eta: 1 day, 14:04:03 time: 1.1054 data_time: 0.0307 memory: 22241 grad_norm: 34.2720 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.4392 loss: 2.4392 2022/07/31 03:22:14 - mmengine - INFO - Epoch(train) [3][1080/2505] lr: 1.1000e-04 eta: 1 day, 14:02:32 time: 0.8278 data_time: 0.0351 memory: 22241 grad_norm: 33.6963 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.2576 loss: 2.2576 2022/07/31 03:22:36 - mmengine - INFO - Epoch(train) [3][1100/2505] lr: 1.1000e-04 eta: 1 day, 14:03:02 time: 1.0932 data_time: 0.0998 memory: 22241 grad_norm: 34.5832 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.5230 loss: 2.5230 2022/07/31 03:22:54 - mmengine - INFO - Epoch(train) [3][1120/2505] lr: 1.1000e-04 eta: 1 day, 14:01:57 time: 0.8840 data_time: 0.0285 memory: 22241 grad_norm: 34.5224 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.4043 loss: 2.4043 2022/07/31 03:23:16 - mmengine - INFO - Epoch(train) [3][1140/2505] lr: 1.1000e-04 eta: 1 day, 14:02:32 time: 1.1047 data_time: 0.1048 memory: 22241 grad_norm: 33.6926 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 2.4692 loss: 2.4692 2022/07/31 03:23:33 - mmengine - INFO - Epoch(train) [3][1160/2505] lr: 1.1000e-04 eta: 1 day, 14:01:19 time: 0.8660 data_time: 0.0736 memory: 22241 grad_norm: 34.2581 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.2718 loss: 2.2718 2022/07/31 03:23:56 - mmengine - INFO - Epoch(train) [3][1180/2505] lr: 1.1000e-04 eta: 1 day, 14:02:07 time: 1.1349 data_time: 0.0892 memory: 22241 grad_norm: 34.3775 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.3220 loss: 2.3220 2022/07/31 03:24:14 - mmengine - INFO - Epoch(train) [3][1200/2505] lr: 1.1000e-04 eta: 1 day, 14:01:02 time: 0.8833 data_time: 0.0287 memory: 22241 grad_norm: 34.0333 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.4217 loss: 2.4217 2022/07/31 03:24:35 - mmengine - INFO - Epoch(train) [3][1220/2505] lr: 1.1000e-04 eta: 1 day, 14:01:14 time: 1.0536 data_time: 0.0311 memory: 22241 grad_norm: 33.6358 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1827 loss: 2.1827 2022/07/31 03:24:52 - mmengine - INFO - Epoch(train) [3][1240/2505] lr: 1.1000e-04 eta: 1 day, 14:00:04 time: 0.8716 data_time: 0.0332 memory: 22241 grad_norm: 33.8378 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.3962 loss: 2.3962 2022/07/31 03:25:14 - mmengine - INFO - Epoch(train) [3][1260/2505] lr: 1.1000e-04 eta: 1 day, 14:00:44 time: 1.1196 data_time: 0.0290 memory: 22241 grad_norm: 32.8668 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.2185 loss: 2.2185 2022/07/31 03:25:31 - mmengine - INFO - Epoch(train) [3][1280/2505] lr: 1.1000e-04 eta: 1 day, 13:59:24 time: 0.8465 data_time: 0.0625 memory: 22241 grad_norm: 34.0006 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0923 loss: 2.0923 2022/07/31 03:25:53 - mmengine - INFO - Epoch(train) [3][1300/2505] lr: 1.1000e-04 eta: 1 day, 13:59:47 time: 1.0827 data_time: 0.1033 memory: 22241 grad_norm: 33.6922 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.4321 loss: 2.4321 2022/07/31 03:26:11 - mmengine - INFO - Epoch(train) [3][1320/2505] lr: 1.1000e-04 eta: 1 day, 13:58:56 time: 0.9112 data_time: 0.0294 memory: 22241 grad_norm: 33.9441 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2759 loss: 2.2759 2022/07/31 03:26:33 - mmengine - INFO - Epoch(train) [3][1340/2505] lr: 1.1000e-04 eta: 1 day, 13:59:25 time: 1.0951 data_time: 0.0299 memory: 22241 grad_norm: 34.6503 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.1554 loss: 2.1554 2022/07/31 03:26:51 - mmengine - INFO - Epoch(train) [3][1360/2505] lr: 1.1000e-04 eta: 1 day, 13:58:23 time: 0.8893 data_time: 0.0276 memory: 22241 grad_norm: 33.2488 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.4194 loss: 2.4194 2022/07/31 03:27:13 - mmengine - INFO - Epoch(train) [3][1380/2505] lr: 1.1000e-04 eta: 1 day, 13:58:51 time: 1.0937 data_time: 0.1628 memory: 22241 grad_norm: 33.6906 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2288 loss: 2.2288 2022/07/31 03:27:30 - mmengine - INFO - Epoch(train) [3][1400/2505] lr: 1.1000e-04 eta: 1 day, 13:57:41 time: 0.8676 data_time: 0.1271 memory: 22241 grad_norm: 33.5328 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.2884 loss: 2.2884 2022/07/31 03:27:52 - mmengine - INFO - Epoch(train) [3][1420/2505] lr: 1.1000e-04 eta: 1 day, 13:58:01 time: 1.0758 data_time: 0.2139 memory: 22241 grad_norm: 34.0866 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 2.0974 loss: 2.0974 2022/07/31 03:28:09 - mmengine - INFO - Epoch(train) [3][1440/2505] lr: 1.1000e-04 eta: 1 day, 13:56:58 time: 0.8826 data_time: 0.1397 memory: 22241 grad_norm: 32.6620 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.3138 loss: 2.3138 2022/07/31 03:28:31 - mmengine - INFO - Epoch(train) [3][1460/2505] lr: 1.1000e-04 eta: 1 day, 13:57:23 time: 1.0901 data_time: 0.2307 memory: 22241 grad_norm: 34.6133 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3856 loss: 2.3856 2022/07/31 03:28:49 - mmengine - INFO - Epoch(train) [3][1480/2505] lr: 1.1000e-04 eta: 1 day, 13:56:23 time: 0.8894 data_time: 0.0921 memory: 22241 grad_norm: 33.8719 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.7397 loss: 2.7397 2022/07/31 03:29:10 - mmengine - INFO - Epoch(train) [3][1500/2505] lr: 1.1000e-04 eta: 1 day, 13:56:39 time: 1.0670 data_time: 0.1760 memory: 22241 grad_norm: 34.3885 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.4218 loss: 2.4218 2022/07/31 03:29:28 - mmengine - INFO - Epoch(train) [3][1520/2505] lr: 1.1000e-04 eta: 1 day, 13:55:27 time: 0.8626 data_time: 0.0869 memory: 22241 grad_norm: 34.3348 top1_acc: 0.3333 top5_acc: 0.3333 loss_cls: 2.2921 loss: 2.2921 2022/07/31 03:29:49 - mmengine - INFO - Epoch(train) [3][1540/2505] lr: 1.1000e-04 eta: 1 day, 13:55:56 time: 1.0980 data_time: 0.1357 memory: 22241 grad_norm: 32.6757 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2962 loss: 2.2962 2022/07/31 03:30:07 - mmengine - INFO - Epoch(train) [3][1560/2505] lr: 1.1000e-04 eta: 1 day, 13:54:50 time: 0.8742 data_time: 0.0627 memory: 22241 grad_norm: 32.9653 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.2332 loss: 2.2332 2022/07/31 03:30:30 - mmengine - INFO - Epoch(train) [3][1580/2505] lr: 1.1000e-04 eta: 1 day, 13:55:35 time: 1.1369 data_time: 0.0994 memory: 22241 grad_norm: 33.2206 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.2704 loss: 2.2704 2022/07/31 03:30:47 - mmengine - INFO - Epoch(train) [3][1600/2505] lr: 1.1000e-04 eta: 1 day, 13:54:21 time: 0.8557 data_time: 0.0580 memory: 22241 grad_norm: 32.9859 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.0890 loss: 2.0890 2022/07/31 03:31:09 - mmengine - INFO - Epoch(train) [3][1620/2505] lr: 1.1000e-04 eta: 1 day, 13:55:02 time: 1.1285 data_time: 0.1503 memory: 22241 grad_norm: 32.7569 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.0966 loss: 2.0966 2022/07/31 03:31:26 - mmengine - INFO - Epoch(train) [3][1640/2505] lr: 1.1000e-04 eta: 1 day, 13:53:41 time: 0.8374 data_time: 0.1223 memory: 22241 grad_norm: 34.0606 top1_acc: 0.1667 top5_acc: 0.5833 loss_cls: 2.3514 loss: 2.3514 2022/07/31 03:31:48 - mmengine - INFO - Epoch(train) [3][1660/2505] lr: 1.1000e-04 eta: 1 day, 13:54:12 time: 1.1064 data_time: 0.0684 memory: 22241 grad_norm: 34.9649 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.3122 loss: 2.3122 2022/07/31 03:32:05 - mmengine - INFO - Epoch(train) [3][1680/2505] lr: 1.1000e-04 eta: 1 day, 13:53:01 time: 0.8600 data_time: 0.1155 memory: 22241 grad_norm: 32.8640 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.4681 loss: 2.4681 2022/07/31 03:32:27 - mmengine - INFO - Epoch(train) [3][1700/2505] lr: 1.1000e-04 eta: 1 day, 13:53:25 time: 1.0897 data_time: 0.1142 memory: 22241 grad_norm: 33.1708 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.4077 loss: 2.4077 2022/07/31 03:32:45 - mmengine - INFO - Epoch(train) [3][1720/2505] lr: 1.1000e-04 eta: 1 day, 13:52:29 time: 0.8979 data_time: 0.0871 memory: 22241 grad_norm: 34.0795 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.3960 loss: 2.3960 2022/07/31 03:33:07 - mmengine - INFO - Epoch(train) [3][1740/2505] lr: 1.1000e-04 eta: 1 day, 13:52:50 time: 1.0816 data_time: 0.1827 memory: 22241 grad_norm: 34.0012 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.4228 loss: 2.4228 2022/07/31 03:33:24 - mmengine - INFO - Epoch(train) [3][1760/2505] lr: 1.1000e-04 eta: 1 day, 13:51:47 time: 0.8792 data_time: 0.1386 memory: 22241 grad_norm: 32.4189 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0611 loss: 2.0611 2022/07/31 03:33:46 - mmengine - INFO - Epoch(train) [3][1780/2505] lr: 1.1000e-04 eta: 1 day, 13:52:04 time: 1.0729 data_time: 0.1456 memory: 22241 grad_norm: 34.6026 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3881 loss: 2.3881 2022/07/31 03:34:04 - mmengine - INFO - Epoch(train) [3][1800/2505] lr: 1.1000e-04 eta: 1 day, 13:51:08 time: 0.8959 data_time: 0.2011 memory: 22241 grad_norm: 33.7892 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.1804 loss: 2.1804 2022/07/31 03:34:26 - mmengine - INFO - Epoch(train) [3][1820/2505] lr: 1.1000e-04 eta: 1 day, 13:51:31 time: 1.0890 data_time: 0.2765 memory: 22241 grad_norm: 33.8685 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.3039 loss: 2.3039 2022/07/31 03:34:43 - mmengine - INFO - Epoch(train) [3][1840/2505] lr: 1.1000e-04 eta: 1 day, 13:50:25 time: 0.8703 data_time: 0.2344 memory: 22241 grad_norm: 33.7754 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 2.6093 loss: 2.6093 2022/07/31 03:35:05 - mmengine - INFO - Epoch(train) [3][1860/2505] lr: 1.1000e-04 eta: 1 day, 13:50:56 time: 1.1105 data_time: 0.3402 memory: 22241 grad_norm: 33.3980 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1400 loss: 2.1400 2022/07/31 03:35:23 - mmengine - INFO - Epoch(train) [3][1880/2505] lr: 1.1000e-04 eta: 1 day, 13:50:02 time: 0.8971 data_time: 0.1967 memory: 22241 grad_norm: 32.0700 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1356 loss: 2.1356 2022/07/31 03:35:45 - mmengine - INFO - Epoch(train) [3][1900/2505] lr: 1.1000e-04 eta: 1 day, 13:50:30 time: 1.1045 data_time: 0.4161 memory: 22241 grad_norm: 33.1114 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.0701 loss: 2.0701 2022/07/31 03:36:03 - mmengine - INFO - Epoch(train) [3][1920/2505] lr: 1.1000e-04 eta: 1 day, 13:49:25 time: 0.8709 data_time: 0.3213 memory: 22241 grad_norm: 33.7412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3941 loss: 2.3941 2022/07/31 03:36:24 - mmengine - INFO - Epoch(train) [3][1940/2505] lr: 1.1000e-04 eta: 1 day, 13:49:36 time: 1.0602 data_time: 0.5195 memory: 22241 grad_norm: 32.3097 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.1107 loss: 2.1107 2022/07/31 03:36:41 - mmengine - INFO - Epoch(train) [3][1960/2505] lr: 1.1000e-04 eta: 1 day, 13:48:33 time: 0.8754 data_time: 0.2999 memory: 22241 grad_norm: 33.4828 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.3430 loss: 2.3430 2022/07/31 03:37:03 - mmengine - INFO - Epoch(train) [3][1980/2505] lr: 1.1000e-04 eta: 1 day, 13:48:58 time: 1.0963 data_time: 0.3165 memory: 22241 grad_norm: 33.1229 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.0982 loss: 2.0982 2022/07/31 03:37:12 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 03:37:21 - mmengine - INFO - Epoch(train) [3][2000/2505] lr: 1.1000e-04 eta: 1 day, 13:48:02 time: 0.8935 data_time: 0.2483 memory: 22241 grad_norm: 33.4376 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.4252 loss: 2.4252 2022/07/31 03:37:43 - mmengine - INFO - Epoch(train) [3][2020/2505] lr: 1.1000e-04 eta: 1 day, 13:48:28 time: 1.0999 data_time: 0.3667 memory: 22241 grad_norm: 33.7066 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.3661 loss: 2.3661 2022/07/31 03:38:01 - mmengine - INFO - Epoch(train) [3][2040/2505] lr: 1.1000e-04 eta: 1 day, 13:47:29 time: 0.8852 data_time: 0.3309 memory: 22241 grad_norm: 34.3661 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3084 loss: 2.3084 2022/07/31 03:38:23 - mmengine - INFO - Epoch(train) [3][2060/2505] lr: 1.1000e-04 eta: 1 day, 13:47:49 time: 1.0859 data_time: 0.4913 memory: 22241 grad_norm: 34.0286 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.2054 loss: 2.2054 2022/07/31 03:38:40 - mmengine - INFO - Epoch(train) [3][2080/2505] lr: 1.1000e-04 eta: 1 day, 13:46:39 time: 0.8553 data_time: 0.3404 memory: 22241 grad_norm: 33.2634 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.3300 loss: 2.3300 2022/07/31 03:39:02 - mmengine - INFO - Epoch(train) [3][2100/2505] lr: 1.1000e-04 eta: 1 day, 13:47:13 time: 1.1216 data_time: 0.5810 memory: 22241 grad_norm: 34.0269 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.3131 loss: 2.3131 2022/07/31 03:39:20 - mmengine - INFO - Epoch(train) [3][2120/2505] lr: 1.1000e-04 eta: 1 day, 13:46:10 time: 0.8716 data_time: 0.4430 memory: 22241 grad_norm: 32.4156 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2386 loss: 2.2386 2022/07/31 03:39:42 - mmengine - INFO - Epoch(train) [3][2140/2505] lr: 1.1000e-04 eta: 1 day, 13:46:47 time: 1.1308 data_time: 0.7178 memory: 22241 grad_norm: 33.5651 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.2754 loss: 2.2754 2022/07/31 03:40:00 - mmengine - INFO - Epoch(train) [3][2160/2505] lr: 1.1000e-04 eta: 1 day, 13:45:52 time: 0.8949 data_time: 0.4746 memory: 22241 grad_norm: 32.5960 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.4922 loss: 2.4922 2022/07/31 03:40:22 - mmengine - INFO - Epoch(train) [3][2180/2505] lr: 1.1000e-04 eta: 1 day, 13:46:16 time: 1.0977 data_time: 0.6864 memory: 22241 grad_norm: 33.3891 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.2812 loss: 2.2812 2022/07/31 03:40:39 - mmengine - INFO - Epoch(train) [3][2200/2505] lr: 1.1000e-04 eta: 1 day, 13:45:07 time: 0.8557 data_time: 0.4429 memory: 22241 grad_norm: 33.5047 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.4580 loss: 2.4580 2022/07/31 03:41:01 - mmengine - INFO - Epoch(train) [3][2220/2505] lr: 1.1000e-04 eta: 1 day, 13:45:29 time: 1.0934 data_time: 0.6686 memory: 22241 grad_norm: 31.6340 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.2169 loss: 2.2169 2022/07/31 03:41:18 - mmengine - INFO - Epoch(train) [3][2240/2505] lr: 1.1000e-04 eta: 1 day, 13:44:13 time: 0.8352 data_time: 0.4389 memory: 22241 grad_norm: 33.0643 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0212 loss: 2.0212 2022/07/31 03:41:40 - mmengine - INFO - Epoch(train) [3][2260/2505] lr: 1.1000e-04 eta: 1 day, 13:44:50 time: 1.1353 data_time: 0.7147 memory: 22241 grad_norm: 32.6188 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 2.3885 loss: 2.3885 2022/07/31 03:41:58 - mmengine - INFO - Epoch(train) [3][2280/2505] lr: 1.1000e-04 eta: 1 day, 13:43:48 time: 0.8730 data_time: 0.4723 memory: 22241 grad_norm: 32.2314 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2325 loss: 2.2325 2022/07/31 03:42:20 - mmengine - INFO - Epoch(train) [3][2300/2505] lr: 1.1000e-04 eta: 1 day, 13:44:11 time: 1.0956 data_time: 0.6670 memory: 22241 grad_norm: 33.0000 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.3464 loss: 2.3464 2022/07/31 03:42:37 - mmengine - INFO - Epoch(train) [3][2320/2505] lr: 1.1000e-04 eta: 1 day, 13:43:06 time: 0.8647 data_time: 0.4635 memory: 22241 grad_norm: 34.0559 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.3317 loss: 2.3317 2022/07/31 03:43:00 - mmengine - INFO - Epoch(train) [3][2340/2505] lr: 1.1000e-04 eta: 1 day, 13:43:40 time: 1.1284 data_time: 0.7020 memory: 22241 grad_norm: 33.7968 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.4621 loss: 2.4621 2022/07/31 03:43:17 - mmengine - INFO - Epoch(train) [3][2360/2505] lr: 1.1000e-04 eta: 1 day, 13:42:40 time: 0.8765 data_time: 0.4769 memory: 22241 grad_norm: 33.3405 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9214 loss: 1.9214 2022/07/31 03:43:39 - mmengine - INFO - Epoch(train) [3][2380/2505] lr: 1.1000e-04 eta: 1 day, 13:43:08 time: 1.1125 data_time: 0.6861 memory: 22241 grad_norm: 32.8904 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.1808 loss: 2.1808 2022/07/31 03:43:56 - mmengine - INFO - Epoch(train) [3][2400/2505] lr: 1.1000e-04 eta: 1 day, 13:41:49 time: 0.8230 data_time: 0.4283 memory: 22241 grad_norm: 32.4550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3505 loss: 2.3505 2022/07/31 03:44:18 - mmengine - INFO - Epoch(train) [3][2420/2505] lr: 1.1000e-04 eta: 1 day, 13:42:08 time: 1.0890 data_time: 0.6772 memory: 22241 grad_norm: 32.8099 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.4000 loss: 2.4000 2022/07/31 03:44:35 - mmengine - INFO - Epoch(train) [3][2440/2505] lr: 1.1000e-04 eta: 1 day, 13:41:00 time: 0.8539 data_time: 0.4461 memory: 22241 grad_norm: 33.2501 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.2848 loss: 2.2848 2022/07/31 03:44:57 - mmengine - INFO - Epoch(train) [3][2460/2505] lr: 1.1000e-04 eta: 1 day, 13:41:23 time: 1.0998 data_time: 0.6906 memory: 22241 grad_norm: 33.3134 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.3295 loss: 2.3295 2022/07/31 03:45:15 - mmengine - INFO - Epoch(train) [3][2480/2505] lr: 1.1000e-04 eta: 1 day, 13:40:32 time: 0.9011 data_time: 0.5073 memory: 22241 grad_norm: 32.4754 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1775 loss: 2.1775 2022/07/31 03:45:32 - mmengine - INFO - Epoch(train) [3][2500/2505] lr: 1.1000e-04 eta: 1 day, 13:39:26 time: 0.8585 data_time: 0.4485 memory: 22241 grad_norm: 31.9446 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0493 loss: 2.0493 2022/07/31 03:45:34 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 03:45:34 - mmengine - INFO - Epoch(train) [3][2505/2505] lr: 1.1000e-04 eta: 1 day, 13:39:26 time: 0.6065 data_time: 0.2229 memory: 22241 grad_norm: 32.8784 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.2225 loss: 2.2225 2022/07/31 03:45:44 - mmengine - INFO - Epoch(val) [3][20/2475] eta: 0:19:37 time: 0.4795 data_time: 0.1367 memory: 37165 2022/07/31 03:45:44 - mmengine - INFO - Epoch(val) [3][40/2475] eta: 0:01:39 time: 0.0410 data_time: 0.0225 memory: 564 2022/07/31 03:45:45 - mmengine - INFO - Epoch(val) [3][60/2475] eta: 0:01:26 time: 0.0360 data_time: 0.0183 memory: 564 2022/07/31 03:45:46 - mmengine - INFO - Epoch(val) [3][80/2475] eta: 0:02:11 time: 0.0550 data_time: 0.0373 memory: 564 2022/07/31 03:45:47 - mmengine - INFO - Epoch(val) [3][100/2475] eta: 0:02:18 time: 0.0585 data_time: 0.0412 memory: 564 2022/07/31 03:45:48 - mmengine - INFO - Epoch(val) [3][120/2475] eta: 0:01:45 time: 0.0446 data_time: 0.0277 memory: 564 2022/07/31 03:45:49 - mmengine - INFO - Epoch(val) [3][140/2475] eta: 0:01:57 time: 0.0502 data_time: 0.0296 memory: 564 2022/07/31 03:45:50 - mmengine - INFO - Epoch(val) [3][160/2475] eta: 0:02:00 time: 0.0519 data_time: 0.0323 memory: 564 2022/07/31 03:45:52 - mmengine - INFO - Epoch(val) [3][180/2475] eta: 0:03:34 time: 0.0934 data_time: 0.0743 memory: 564 2022/07/31 03:45:54 - mmengine - INFO - Epoch(val) [3][200/2475] eta: 0:02:40 time: 0.0704 data_time: 0.0504 memory: 564 2022/07/31 03:45:55 - mmengine - INFO - Epoch(val) [3][220/2475] eta: 0:03:09 time: 0.0840 data_time: 0.0654 memory: 564 2022/07/31 03:45:57 - mmengine - INFO - Epoch(val) [3][240/2475] eta: 0:02:50 time: 0.0762 data_time: 0.0577 memory: 564 2022/07/31 03:45:59 - mmengine - INFO - Epoch(val) [3][260/2475] eta: 0:03:21 time: 0.0911 data_time: 0.0734 memory: 564 2022/07/31 03:46:00 - mmengine - INFO - Epoch(val) [3][280/2475] eta: 0:02:27 time: 0.0670 data_time: 0.0488 memory: 564 2022/07/31 03:46:02 - mmengine - INFO - Epoch(val) [3][300/2475] eta: 0:03:05 time: 0.0854 data_time: 0.0633 memory: 564 2022/07/31 03:46:03 - mmengine - INFO - Epoch(val) [3][320/2475] eta: 0:03:01 time: 0.0844 data_time: 0.0643 memory: 564 2022/07/31 03:46:05 - mmengine - INFO - Epoch(val) [3][340/2475] eta: 0:03:09 time: 0.0889 data_time: 0.0706 memory: 564 2022/07/31 03:46:06 - mmengine - INFO - Epoch(val) [3][360/2475] eta: 0:02:00 time: 0.0571 data_time: 0.0368 memory: 564 2022/07/31 03:46:08 - mmengine - INFO - Epoch(val) [3][380/2475] eta: 0:03:13 time: 0.0923 data_time: 0.0747 memory: 564 2022/07/31 03:46:10 - mmengine - INFO - Epoch(val) [3][400/2475] eta: 0:02:36 time: 0.0754 data_time: 0.0559 memory: 564 2022/07/31 03:46:11 - mmengine - INFO - Epoch(val) [3][420/2475] eta: 0:02:53 time: 0.0843 data_time: 0.0654 memory: 564 2022/07/31 03:46:13 - mmengine - INFO - Epoch(val) [3][440/2475] eta: 0:02:23 time: 0.0703 data_time: 0.0498 memory: 564 2022/07/31 03:46:14 - mmengine - INFO - Epoch(val) [3][460/2475] eta: 0:02:57 time: 0.0880 data_time: 0.0708 memory: 564 2022/07/31 03:46:16 - mmengine - INFO - Epoch(val) [3][480/2475] eta: 0:02:19 time: 0.0700 data_time: 0.0525 memory: 564 2022/07/31 03:46:18 - mmengine - INFO - Epoch(val) [3][500/2475] eta: 0:03:09 time: 0.0960 data_time: 0.0778 memory: 564 2022/07/31 03:46:19 - mmengine - INFO - Epoch(val) [3][520/2475] eta: 0:02:30 time: 0.0768 data_time: 0.0587 memory: 564 2022/07/31 03:46:21 - mmengine - INFO - Epoch(val) [3][540/2475] eta: 0:02:49 time: 0.0874 data_time: 0.0689 memory: 564 2022/07/31 03:46:22 - mmengine - INFO - Epoch(val) [3][560/2475] eta: 0:02:14 time: 0.0705 data_time: 0.0532 memory: 564 2022/07/31 03:46:24 - mmengine - INFO - Epoch(val) [3][580/2475] eta: 0:03:07 time: 0.0989 data_time: 0.0812 memory: 564 2022/07/31 03:46:26 - mmengine - INFO - Epoch(val) [3][600/2475] eta: 0:02:31 time: 0.0810 data_time: 0.0613 memory: 564 2022/07/31 03:46:28 - mmengine - INFO - Epoch(val) [3][620/2475] eta: 0:02:35 time: 0.0839 data_time: 0.0652 memory: 564 2022/07/31 03:46:29 - mmengine - INFO - Epoch(val) [3][640/2475] eta: 0:02:37 time: 0.0856 data_time: 0.0631 memory: 564 2022/07/31 03:46:31 - mmengine - INFO - Epoch(val) [3][660/2475] eta: 0:02:36 time: 0.0861 data_time: 0.0617 memory: 564 2022/07/31 03:46:33 - mmengine - INFO - Epoch(val) [3][680/2475] eta: 0:02:10 time: 0.0724 data_time: 0.0490 memory: 564 2022/07/31 03:46:34 - mmengine - INFO - Epoch(val) [3][700/2475] eta: 0:02:34 time: 0.0871 data_time: 0.0687 memory: 564 2022/07/31 03:46:36 - mmengine - INFO - Epoch(val) [3][720/2475] eta: 0:02:00 time: 0.0685 data_time: 0.0510 memory: 564 2022/07/31 03:46:38 - mmengine - INFO - Epoch(val) [3][740/2475] eta: 0:02:42 time: 0.0936 data_time: 0.0762 memory: 564 2022/07/31 03:46:39 - mmengine - INFO - Epoch(val) [3][760/2475] eta: 0:01:58 time: 0.0693 data_time: 0.0504 memory: 564 2022/07/31 03:46:41 - mmengine - INFO - Epoch(val) [3][780/2475] eta: 0:02:24 time: 0.0852 data_time: 0.0672 memory: 564 2022/07/31 03:46:42 - mmengine - INFO - Epoch(val) [3][800/2475] eta: 0:01:56 time: 0.0698 data_time: 0.0524 memory: 564 2022/07/31 03:46:44 - mmengine - INFO - Epoch(val) [3][820/2475] eta: 0:02:31 time: 0.0912 data_time: 0.0730 memory: 564 2022/07/31 03:46:45 - mmengine - INFO - Epoch(val) [3][840/2475] eta: 0:01:56 time: 0.0713 data_time: 0.0535 memory: 564 2022/07/31 03:46:47 - mmengine - INFO - Epoch(val) [3][860/2475] eta: 0:02:30 time: 0.0934 data_time: 0.0741 memory: 564 2022/07/31 03:46:49 - mmengine - INFO - Epoch(val) [3][880/2475] eta: 0:01:49 time: 0.0686 data_time: 0.0505 memory: 564 2022/07/31 03:46:51 - mmengine - INFO - Epoch(val) [3][900/2475] eta: 0:02:29 time: 0.0948 data_time: 0.0739 memory: 564 2022/07/31 03:46:52 - mmengine - INFO - Epoch(val) [3][920/2475] eta: 0:01:52 time: 0.0722 data_time: 0.0525 memory: 564 2022/07/31 03:46:54 - mmengine - INFO - Epoch(val) [3][940/2475] eta: 0:02:21 time: 0.0920 data_time: 0.0722 memory: 564 2022/07/31 03:46:55 - mmengine - INFO - Epoch(val) [3][960/2475] eta: 0:01:57 time: 0.0774 data_time: 0.0588 memory: 564 2022/07/31 03:46:57 - mmengine - INFO - Epoch(val) [3][980/2475] eta: 0:02:04 time: 0.0834 data_time: 0.0626 memory: 564 2022/07/31 03:46:59 - mmengine - INFO - Epoch(val) [3][1000/2475] eta: 0:02:06 time: 0.0856 data_time: 0.0666 memory: 564 2022/07/31 03:47:01 - mmengine - INFO - Epoch(val) [3][1020/2475] eta: 0:02:17 time: 0.0948 data_time: 0.0691 memory: 564 2022/07/31 03:47:02 - mmengine - INFO - Epoch(val) [3][1040/2475] eta: 0:01:48 time: 0.0759 data_time: 0.0538 memory: 564 2022/07/31 03:47:04 - mmengine - INFO - Epoch(val) [3][1060/2475] eta: 0:02:14 time: 0.0954 data_time: 0.0766 memory: 564 2022/07/31 03:47:05 - mmengine - INFO - Epoch(val) [3][1080/2475] eta: 0:01:35 time: 0.0687 data_time: 0.0496 memory: 564 2022/07/31 03:47:07 - mmengine - INFO - Epoch(val) [3][1100/2475] eta: 0:02:12 time: 0.0964 data_time: 0.0792 memory: 564 2022/07/31 03:47:09 - mmengine - INFO - Epoch(val) [3][1120/2475] eta: 0:01:48 time: 0.0804 data_time: 0.0600 memory: 564 2022/07/31 03:47:11 - mmengine - INFO - Epoch(val) [3][1140/2475] eta: 0:01:57 time: 0.0883 data_time: 0.0690 memory: 564 2022/07/31 03:47:12 - mmengine - INFO - Epoch(val) [3][1160/2475] eta: 0:01:33 time: 0.0714 data_time: 0.0525 memory: 564 2022/07/31 03:47:14 - mmengine - INFO - Epoch(val) [3][1180/2475] eta: 0:01:55 time: 0.0888 data_time: 0.0660 memory: 564 2022/07/31 03:47:15 - mmengine - INFO - Epoch(val) [3][1200/2475] eta: 0:01:21 time: 0.0636 data_time: 0.0452 memory: 564 2022/07/31 03:47:17 - mmengine - INFO - Epoch(val) [3][1220/2475] eta: 0:01:58 time: 0.0945 data_time: 0.0758 memory: 564 2022/07/31 03:47:19 - mmengine - INFO - Epoch(val) [3][1240/2475] eta: 0:01:34 time: 0.0762 data_time: 0.0552 memory: 564 2022/07/31 03:47:20 - mmengine - INFO - Epoch(val) [3][1260/2475] eta: 0:01:38 time: 0.0811 data_time: 0.0551 memory: 564 2022/07/31 03:47:22 - mmengine - INFO - Epoch(val) [3][1280/2475] eta: 0:01:49 time: 0.0913 data_time: 0.0718 memory: 564 2022/07/31 03:47:24 - mmengine - INFO - Epoch(val) [3][1300/2475] eta: 0:01:28 time: 0.0754 data_time: 0.0563 memory: 564 2022/07/31 03:47:25 - mmengine - INFO - Epoch(val) [3][1320/2475] eta: 0:01:41 time: 0.0876 data_time: 0.0699 memory: 564 2022/07/31 03:47:27 - mmengine - INFO - Epoch(val) [3][1340/2475] eta: 0:01:46 time: 0.0936 data_time: 0.0757 memory: 564 2022/07/31 03:47:28 - mmengine - INFO - Epoch(val) [3][1360/2475] eta: 0:01:10 time: 0.0630 data_time: 0.0449 memory: 564 2022/07/31 03:47:31 - mmengine - INFO - Epoch(val) [3][1380/2475] eta: 0:01:50 time: 0.1006 data_time: 0.0797 memory: 564 2022/07/31 03:47:32 - mmengine - INFO - Epoch(val) [3][1400/2475] eta: 0:01:18 time: 0.0735 data_time: 0.0538 memory: 564 2022/07/31 03:47:34 - mmengine - INFO - Epoch(val) [3][1420/2475] eta: 0:01:39 time: 0.0945 data_time: 0.0750 memory: 564 2022/07/31 03:47:35 - mmengine - INFO - Epoch(val) [3][1440/2475] eta: 0:01:07 time: 0.0652 data_time: 0.0469 memory: 564 2022/07/31 03:47:37 - mmengine - INFO - Epoch(val) [3][1460/2475] eta: 0:01:24 time: 0.0836 data_time: 0.0632 memory: 564 2022/07/31 03:47:39 - mmengine - INFO - Epoch(val) [3][1480/2475] eta: 0:01:28 time: 0.0885 data_time: 0.0673 memory: 564 2022/07/31 03:47:40 - mmengine - INFO - Epoch(val) [3][1500/2475] eta: 0:01:30 time: 0.0927 data_time: 0.0724 memory: 564 2022/07/31 03:47:42 - mmengine - INFO - Epoch(val) [3][1520/2475] eta: 0:00:59 time: 0.0628 data_time: 0.0418 memory: 564 2022/07/31 03:47:43 - mmengine - INFO - Epoch(val) [3][1540/2475] eta: 0:01:20 time: 0.0858 data_time: 0.0671 memory: 564 2022/07/31 03:47:45 - mmengine - INFO - Epoch(val) [3][1560/2475] eta: 0:01:07 time: 0.0735 data_time: 0.0544 memory: 564 2022/07/31 03:47:47 - mmengine - INFO - Epoch(val) [3][1580/2475] eta: 0:01:16 time: 0.0850 data_time: 0.0660 memory: 564 2022/07/31 03:47:49 - mmengine - INFO - Epoch(val) [3][1600/2475] eta: 0:01:29 time: 0.1026 data_time: 0.0810 memory: 564 2022/07/31 03:47:50 - mmengine - INFO - Epoch(val) [3][1620/2475] eta: 0:00:58 time: 0.0684 data_time: 0.0248 memory: 564 2022/07/31 03:47:51 - mmengine - INFO - Epoch(val) [3][1640/2475] eta: 0:00:55 time: 0.0662 data_time: 0.0470 memory: 564 2022/07/31 03:47:53 - mmengine - INFO - Epoch(val) [3][1660/2475] eta: 0:01:14 time: 0.0920 data_time: 0.0716 memory: 564 2022/07/31 03:47:55 - mmengine - INFO - Epoch(val) [3][1680/2475] eta: 0:00:52 time: 0.0664 data_time: 0.0474 memory: 564 2022/07/31 03:47:56 - mmengine - INFO - Epoch(val) [3][1700/2475] eta: 0:01:14 time: 0.0960 data_time: 0.0761 memory: 564 2022/07/31 03:47:58 - mmengine - INFO - Epoch(val) [3][1720/2475] eta: 0:00:52 time: 0.0698 data_time: 0.0502 memory: 564 2022/07/31 03:48:00 - mmengine - INFO - Epoch(val) [3][1740/2475] eta: 0:01:07 time: 0.0916 data_time: 0.0722 memory: 564 2022/07/31 03:48:01 - mmengine - INFO - Epoch(val) [3][1760/2475] eta: 0:00:48 time: 0.0679 data_time: 0.0493 memory: 564 2022/07/31 03:48:03 - mmengine - INFO - Epoch(val) [3][1780/2475] eta: 0:01:04 time: 0.0933 data_time: 0.0742 memory: 564 2022/07/31 03:48:04 - mmengine - INFO - Epoch(val) [3][1800/2475] eta: 0:00:47 time: 0.0709 data_time: 0.0528 memory: 564 2022/07/31 03:48:06 - mmengine - INFO - Epoch(val) [3][1820/2475] eta: 0:00:59 time: 0.0904 data_time: 0.0720 memory: 564 2022/07/31 03:48:07 - mmengine - INFO - Epoch(val) [3][1840/2475] eta: 0:00:42 time: 0.0665 data_time: 0.0501 memory: 564 2022/07/31 03:48:09 - mmengine - INFO - Epoch(val) [3][1860/2475] eta: 0:01:00 time: 0.0988 data_time: 0.0703 memory: 564 2022/07/31 03:48:11 - mmengine - INFO - Epoch(val) [3][1880/2475] eta: 0:00:38 time: 0.0639 data_time: 0.0465 memory: 564 2022/07/31 03:48:13 - mmengine - INFO - Epoch(val) [3][1900/2475] eta: 0:00:52 time: 0.0907 data_time: 0.0727 memory: 564 2022/07/31 03:48:14 - mmengine - INFO - Epoch(val) [3][1920/2475] eta: 0:00:37 time: 0.0679 data_time: 0.0510 memory: 564 2022/07/31 03:48:16 - mmengine - INFO - Epoch(val) [3][1940/2475] eta: 0:00:51 time: 0.0958 data_time: 0.0771 memory: 564 2022/07/31 03:48:17 - mmengine - INFO - Epoch(val) [3][1960/2475] eta: 0:00:35 time: 0.0688 data_time: 0.0505 memory: 564 2022/07/31 03:48:19 - mmengine - INFO - Epoch(val) [3][1980/2475] eta: 0:00:43 time: 0.0876 data_time: 0.0697 memory: 564 2022/07/31 03:48:20 - mmengine - INFO - Epoch(val) [3][2000/2475] eta: 0:00:35 time: 0.0744 data_time: 0.0539 memory: 564 2022/07/31 03:48:22 - mmengine - INFO - Epoch(val) [3][2020/2475] eta: 0:00:42 time: 0.0932 data_time: 0.0726 memory: 564 2022/07/31 03:48:24 - mmengine - INFO - Epoch(val) [3][2040/2475] eta: 0:00:30 time: 0.0690 data_time: 0.0486 memory: 564 2022/07/31 03:48:25 - mmengine - INFO - Epoch(val) [3][2060/2475] eta: 0:00:36 time: 0.0887 data_time: 0.0704 memory: 564 2022/07/31 03:48:27 - mmengine - INFO - Epoch(val) [3][2080/2475] eta: 0:00:25 time: 0.0649 data_time: 0.0468 memory: 564 2022/07/31 03:48:29 - mmengine - INFO - Epoch(val) [3][2100/2475] eta: 0:00:33 time: 0.0895 data_time: 0.0717 memory: 564 2022/07/31 03:48:30 - mmengine - INFO - Epoch(val) [3][2120/2475] eta: 0:00:26 time: 0.0740 data_time: 0.0502 memory: 564 2022/07/31 03:48:32 - mmengine - INFO - Epoch(val) [3][2140/2475] eta: 0:00:29 time: 0.0895 data_time: 0.0709 memory: 564 2022/07/31 03:48:33 - mmengine - INFO - Epoch(val) [3][2160/2475] eta: 0:00:22 time: 0.0726 data_time: 0.0549 memory: 564 2022/07/31 03:48:35 - mmengine - INFO - Epoch(val) [3][2180/2475] eta: 0:00:28 time: 0.0950 data_time: 0.0775 memory: 564 2022/07/31 03:48:37 - mmengine - INFO - Epoch(val) [3][2200/2475] eta: 0:00:19 time: 0.0724 data_time: 0.0507 memory: 564 2022/07/31 03:48:39 - mmengine - INFO - Epoch(val) [3][2220/2475] eta: 0:00:24 time: 0.0954 data_time: 0.0770 memory: 564 2022/07/31 03:48:40 - mmengine - INFO - Epoch(val) [3][2240/2475] eta: 0:00:17 time: 0.0731 data_time: 0.0533 memory: 564 2022/07/31 03:48:42 - mmengine - INFO - Epoch(val) [3][2260/2475] eta: 0:00:20 time: 0.0962 data_time: 0.0775 memory: 564 2022/07/31 03:48:43 - mmengine - INFO - Epoch(val) [3][2280/2475] eta: 0:00:13 time: 0.0670 data_time: 0.0467 memory: 564 2022/07/31 03:48:45 - mmengine - INFO - Epoch(val) [3][2300/2475] eta: 0:00:15 time: 0.0905 data_time: 0.0704 memory: 564 2022/07/31 03:48:46 - mmengine - INFO - Epoch(val) [3][2320/2475] eta: 0:00:10 time: 0.0694 data_time: 0.0495 memory: 564 2022/07/31 03:48:48 - mmengine - INFO - Epoch(val) [3][2340/2475] eta: 0:00:13 time: 0.0976 data_time: 0.0791 memory: 564 2022/07/31 03:48:50 - mmengine - INFO - Epoch(val) [3][2360/2475] eta: 0:00:08 time: 0.0721 data_time: 0.0469 memory: 564 2022/07/31 03:48:52 - mmengine - INFO - Epoch(val) [3][2380/2475] eta: 0:00:08 time: 0.0909 data_time: 0.0734 memory: 564 2022/07/31 03:48:53 - mmengine - INFO - Epoch(val) [3][2400/2475] eta: 0:00:05 time: 0.0720 data_time: 0.0540 memory: 564 2022/07/31 03:48:55 - mmengine - INFO - Epoch(val) [3][2420/2475] eta: 0:00:04 time: 0.0821 data_time: 0.0647 memory: 564 2022/07/31 03:48:56 - mmengine - INFO - Epoch(val) [3][2440/2475] eta: 0:00:02 time: 0.0691 data_time: 0.0514 memory: 564 2022/07/31 03:48:58 - mmengine - INFO - Epoch(val) [3][2460/2475] eta: 0:00:01 time: 0.0989 data_time: 0.0807 memory: 564 2022/07/31 03:49:05 - mmengine - INFO - Epoch(val) [3][2475/2475] acc/top1: 0.5887 acc/top5: 0.8226 acc/mean1: 0.5886 2022/07/31 03:49:07 - mmengine - INFO - The best checkpoint with 0.5887 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/07/31 03:49:33 - mmengine - INFO - Epoch(train) [4][20/2505] lr: 1.4000e-04 eta: 1 day, 13:39:17 time: 1.2721 data_time: 0.8681 memory: 22238 grad_norm: 32.3088 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.4364 loss: 2.4364 2022/07/31 03:49:51 - mmengine - INFO - Epoch(train) [4][40/2505] lr: 1.4000e-04 eta: 1 day, 13:38:32 time: 0.9131 data_time: 0.5275 memory: 22238 grad_norm: 33.7081 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.5334 loss: 2.5334 2022/07/31 03:50:13 - mmengine - INFO - Epoch(train) [4][60/2505] lr: 1.4000e-04 eta: 1 day, 13:39:02 time: 1.1222 data_time: 0.7314 memory: 22238 grad_norm: 33.9013 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.3763 loss: 2.3763 2022/07/31 03:50:31 - mmengine - INFO - Epoch(train) [4][80/2505] lr: 1.4000e-04 eta: 1 day, 13:38:04 time: 0.8789 data_time: 0.4765 memory: 22238 grad_norm: 34.0133 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.6779 loss: 2.6779 2022/07/31 03:50:53 - mmengine - INFO - Epoch(train) [4][100/2505] lr: 1.4000e-04 eta: 1 day, 13:38:30 time: 1.1085 data_time: 0.5948 memory: 22238 grad_norm: 33.1624 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.2425 loss: 2.2425 2022/07/31 03:51:11 - mmengine - INFO - Epoch(train) [4][120/2505] lr: 1.4000e-04 eta: 1 day, 13:37:36 time: 0.8887 data_time: 0.3760 memory: 22238 grad_norm: 32.3316 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 2.3067 loss: 2.3067 2022/07/31 03:51:33 - mmengine - INFO - Epoch(train) [4][140/2505] lr: 1.4000e-04 eta: 1 day, 13:37:53 time: 1.0883 data_time: 0.4286 memory: 22238 grad_norm: 32.4229 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.3146 loss: 2.3146 2022/07/31 03:51:51 - mmengine - INFO - Epoch(train) [4][160/2505] lr: 1.4000e-04 eta: 1 day, 13:37:05 time: 0.9048 data_time: 0.2700 memory: 22238 grad_norm: 32.4516 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.2853 loss: 2.2853 2022/07/31 03:52:13 - mmengine - INFO - Epoch(train) [4][180/2505] lr: 1.4000e-04 eta: 1 day, 13:37:30 time: 1.1093 data_time: 0.3165 memory: 22238 grad_norm: 33.6355 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 2.1677 loss: 2.1677 2022/07/31 03:52:31 - mmengine - INFO - Epoch(train) [4][200/2505] lr: 1.4000e-04 eta: 1 day, 13:36:40 time: 0.8994 data_time: 0.1608 memory: 22238 grad_norm: 33.1680 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.5241 loss: 2.5241 2022/07/31 03:52:53 - mmengine - INFO - Epoch(train) [4][220/2505] lr: 1.4000e-04 eta: 1 day, 13:36:54 time: 1.0791 data_time: 0.2362 memory: 22238 grad_norm: 34.3679 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.2065 loss: 2.2065 2022/07/31 03:53:09 - mmengine - INFO - Epoch(train) [4][240/2505] lr: 1.4000e-04 eta: 1 day, 13:35:44 time: 0.8423 data_time: 0.0871 memory: 22238 grad_norm: 32.8748 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.2130 loss: 2.2130 2022/07/31 03:53:31 - mmengine - INFO - Epoch(train) [4][260/2505] lr: 1.4000e-04 eta: 1 day, 13:36:06 time: 1.1018 data_time: 0.2799 memory: 22238 grad_norm: 30.6561 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3095 loss: 2.3095 2022/07/31 03:53:48 - mmengine - INFO - Epoch(train) [4][280/2505] lr: 1.4000e-04 eta: 1 day, 13:34:59 time: 0.8485 data_time: 0.2535 memory: 22238 grad_norm: 32.1612 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.2031 loss: 2.2031 2022/07/31 03:54:11 - mmengine - INFO - Epoch(train) [4][300/2505] lr: 1.4000e-04 eta: 1 day, 13:35:24 time: 1.1120 data_time: 0.4049 memory: 22238 grad_norm: 31.6965 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.3366 loss: 2.3366 2022/07/31 03:54:28 - mmengine - INFO - Epoch(train) [4][320/2505] lr: 1.4000e-04 eta: 1 day, 13:34:15 time: 0.8451 data_time: 0.2187 memory: 22238 grad_norm: 33.0158 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.2297 loss: 2.2297 2022/07/31 03:54:50 - mmengine - INFO - Epoch(train) [4][340/2505] lr: 1.4000e-04 eta: 1 day, 13:34:39 time: 1.1071 data_time: 0.3556 memory: 22238 grad_norm: 33.2473 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4581 loss: 2.4581 2022/07/31 03:55:07 - mmengine - INFO - Epoch(train) [4][360/2505] lr: 1.4000e-04 eta: 1 day, 13:33:37 time: 0.8623 data_time: 0.2220 memory: 22238 grad_norm: 33.9565 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.1607 loss: 2.1607 2022/07/31 03:55:31 - mmengine - INFO - Epoch(train) [4][380/2505] lr: 1.4000e-04 eta: 1 day, 13:34:30 time: 1.1933 data_time: 0.2322 memory: 22238 grad_norm: 33.5549 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.3608 loss: 2.3608 2022/07/31 03:55:47 - mmengine - INFO - Epoch(train) [4][400/2505] lr: 1.4000e-04 eta: 1 day, 13:33:05 time: 0.7960 data_time: 0.0291 memory: 22238 grad_norm: 33.3932 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.2098 loss: 2.2098 2022/07/31 03:56:10 - mmengine - INFO - Epoch(train) [4][420/2505] lr: 1.4000e-04 eta: 1 day, 13:33:47 time: 1.1627 data_time: 0.0345 memory: 22238 grad_norm: 32.6879 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 2.1975 loss: 2.1975 2022/07/31 03:56:28 - mmengine - INFO - Epoch(train) [4][440/2505] lr: 1.4000e-04 eta: 1 day, 13:32:55 time: 0.8903 data_time: 0.0286 memory: 22238 grad_norm: 31.0921 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.2567 loss: 2.2567 2022/07/31 03:56:49 - mmengine - INFO - Epoch(train) [4][460/2505] lr: 1.4000e-04 eta: 1 day, 13:33:07 time: 1.0784 data_time: 0.0301 memory: 22238 grad_norm: 33.1269 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.2289 loss: 2.2289 2022/07/31 03:57:07 - mmengine - INFO - Epoch(train) [4][480/2505] lr: 1.4000e-04 eta: 1 day, 13:32:19 time: 0.9010 data_time: 0.0327 memory: 22238 grad_norm: 32.7652 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2005 loss: 2.2005 2022/07/31 03:57:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 03:57:29 - mmengine - INFO - Epoch(train) [4][500/2505] lr: 1.4000e-04 eta: 1 day, 13:32:29 time: 1.0714 data_time: 0.0327 memory: 22238 grad_norm: 33.3011 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.4469 loss: 2.4469 2022/07/31 03:57:47 - mmengine - INFO - Epoch(train) [4][520/2505] lr: 1.4000e-04 eta: 1 day, 13:31:53 time: 0.9364 data_time: 0.0283 memory: 22238 grad_norm: 32.8169 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.1928 loss: 2.1928 2022/07/31 03:58:09 - mmengine - INFO - Epoch(train) [4][540/2505] lr: 1.4000e-04 eta: 1 day, 13:31:58 time: 1.0559 data_time: 0.0294 memory: 22238 grad_norm: 32.3170 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2022 loss: 2.2022 2022/07/31 03:58:26 - mmengine - INFO - Epoch(train) [4][560/2505] lr: 1.4000e-04 eta: 1 day, 13:31:00 time: 0.8724 data_time: 0.0323 memory: 22238 grad_norm: 32.8282 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1979 loss: 2.1979 2022/07/31 03:58:48 - mmengine - INFO - Epoch(train) [4][580/2505] lr: 1.4000e-04 eta: 1 day, 13:31:18 time: 1.0957 data_time: 0.0254 memory: 22238 grad_norm: 32.2244 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.1600 loss: 2.1600 2022/07/31 03:59:06 - mmengine - INFO - Epoch(train) [4][600/2505] lr: 1.4000e-04 eta: 1 day, 13:30:26 time: 0.8900 data_time: 0.0295 memory: 22238 grad_norm: 32.0549 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.2396 loss: 2.2396 2022/07/31 03:59:27 - mmengine - INFO - Epoch(train) [4][620/2505] lr: 1.4000e-04 eta: 1 day, 13:30:40 time: 1.0831 data_time: 0.0305 memory: 22238 grad_norm: 31.7289 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.0880 loss: 2.0880 2022/07/31 03:59:45 - mmengine - INFO - Epoch(train) [4][640/2505] lr: 1.4000e-04 eta: 1 day, 13:29:44 time: 0.8777 data_time: 0.0295 memory: 22238 grad_norm: 32.3300 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.4854 loss: 2.4854 2022/07/31 04:00:08 - mmengine - INFO - Epoch(train) [4][660/2505] lr: 1.4000e-04 eta: 1 day, 13:30:13 time: 1.1292 data_time: 0.0283 memory: 22238 grad_norm: 32.2629 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1783 loss: 2.1783 2022/07/31 04:00:25 - mmengine - INFO - Epoch(train) [4][680/2505] lr: 1.4000e-04 eta: 1 day, 13:29:10 time: 0.8558 data_time: 0.0286 memory: 22238 grad_norm: 32.4255 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.4483 loss: 2.4483 2022/07/31 04:00:47 - mmengine - INFO - Epoch(train) [4][700/2505] lr: 1.4000e-04 eta: 1 day, 13:29:26 time: 1.0913 data_time: 0.0288 memory: 22238 grad_norm: 32.4281 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.3835 loss: 2.3835 2022/07/31 04:01:05 - mmengine - INFO - Epoch(train) [4][720/2505] lr: 1.4000e-04 eta: 1 day, 13:28:38 time: 0.8987 data_time: 0.0288 memory: 22238 grad_norm: 33.0116 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.1107 loss: 2.1107 2022/07/31 04:01:27 - mmengine - INFO - Epoch(train) [4][740/2505] lr: 1.4000e-04 eta: 1 day, 13:28:59 time: 1.1067 data_time: 0.0289 memory: 22238 grad_norm: 32.0510 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1670 loss: 2.1670 2022/07/31 04:01:45 - mmengine - INFO - Epoch(train) [4][760/2505] lr: 1.4000e-04 eta: 1 day, 13:28:17 time: 0.9174 data_time: 0.0317 memory: 22238 grad_norm: 32.0530 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9141 loss: 1.9141 2022/07/31 04:02:06 - mmengine - INFO - Epoch(train) [4][780/2505] lr: 1.4000e-04 eta: 1 day, 13:28:24 time: 1.0652 data_time: 0.0297 memory: 22238 grad_norm: 32.9031 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.2774 loss: 2.2774 2022/07/31 04:02:24 - mmengine - INFO - Epoch(train) [4][800/2505] lr: 1.4000e-04 eta: 1 day, 13:27:39 time: 0.9083 data_time: 0.0292 memory: 22238 grad_norm: 33.0568 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2259 loss: 2.2259 2022/07/31 04:02:46 - mmengine - INFO - Epoch(train) [4][820/2505] lr: 1.4000e-04 eta: 1 day, 13:27:51 time: 1.0824 data_time: 0.0299 memory: 22238 grad_norm: 33.4326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3808 loss: 2.3808 2022/07/31 04:03:03 - mmengine - INFO - Epoch(train) [4][840/2505] lr: 1.4000e-04 eta: 1 day, 13:26:38 time: 0.8221 data_time: 0.0287 memory: 22238 grad_norm: 33.2362 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.2297 loss: 2.2297 2022/07/31 04:03:26 - mmengine - INFO - Epoch(train) [4][860/2505] lr: 1.4000e-04 eta: 1 day, 13:27:15 time: 1.1572 data_time: 0.0325 memory: 22238 grad_norm: 32.0464 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0712 loss: 2.0712 2022/07/31 04:03:42 - mmengine - INFO - Epoch(train) [4][880/2505] lr: 1.4000e-04 eta: 1 day, 13:25:58 time: 0.8085 data_time: 0.0297 memory: 22238 grad_norm: 31.6854 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 2.2904 loss: 2.2904 2022/07/31 04:04:04 - mmengine - INFO - Epoch(train) [4][900/2505] lr: 1.4000e-04 eta: 1 day, 13:26:24 time: 1.1251 data_time: 0.0289 memory: 22238 grad_norm: 31.1570 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.2863 loss: 2.2863 2022/07/31 04:04:21 - mmengine - INFO - Epoch(train) [4][920/2505] lr: 1.4000e-04 eta: 1 day, 13:25:14 time: 0.8305 data_time: 0.0292 memory: 22238 grad_norm: 32.6702 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.1128 loss: 2.1128 2022/07/31 04:04:43 - mmengine - INFO - Epoch(train) [4][940/2505] lr: 1.4000e-04 eta: 1 day, 13:25:31 time: 1.0968 data_time: 0.0283 memory: 22238 grad_norm: 32.3755 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.3453 loss: 2.3453 2022/07/31 04:05:00 - mmengine - INFO - Epoch(train) [4][960/2505] lr: 1.4000e-04 eta: 1 day, 13:24:23 time: 0.8337 data_time: 0.0280 memory: 22238 grad_norm: 32.2506 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.2068 loss: 2.2068 2022/07/31 04:05:22 - mmengine - INFO - Epoch(train) [4][980/2505] lr: 1.4000e-04 eta: 1 day, 13:24:41 time: 1.1016 data_time: 0.0285 memory: 22238 grad_norm: 32.5113 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.2145 loss: 2.2145 2022/07/31 04:05:39 - mmengine - INFO - Epoch(train) [4][1000/2505] lr: 1.4000e-04 eta: 1 day, 13:23:49 time: 0.8852 data_time: 0.0360 memory: 22238 grad_norm: 32.9712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2082 loss: 2.2082 2022/07/31 04:06:02 - mmengine - INFO - Epoch(train) [4][1020/2505] lr: 1.4000e-04 eta: 1 day, 13:24:10 time: 1.1122 data_time: 0.0306 memory: 22238 grad_norm: 32.5323 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0813 loss: 2.0813 2022/07/31 04:06:19 - mmengine - INFO - Epoch(train) [4][1040/2505] lr: 1.4000e-04 eta: 1 day, 13:23:09 time: 0.8535 data_time: 0.0300 memory: 22238 grad_norm: 30.9527 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1213 loss: 2.1213 2022/07/31 04:06:40 - mmengine - INFO - Epoch(train) [4][1060/2505] lr: 1.4000e-04 eta: 1 day, 13:23:21 time: 1.0840 data_time: 0.0290 memory: 22238 grad_norm: 31.8398 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0577 loss: 2.0577 2022/07/31 04:06:58 - mmengine - INFO - Epoch(train) [4][1080/2505] lr: 1.4000e-04 eta: 1 day, 13:22:27 time: 0.8755 data_time: 0.0327 memory: 22238 grad_norm: 30.7349 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.2828 loss: 2.2828 2022/07/31 04:07:20 - mmengine - INFO - Epoch(train) [4][1100/2505] lr: 1.4000e-04 eta: 1 day, 13:22:39 time: 1.0857 data_time: 0.0329 memory: 22238 grad_norm: 31.7139 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.5082 loss: 2.5082 2022/07/31 04:07:37 - mmengine - INFO - Epoch(train) [4][1120/2505] lr: 1.4000e-04 eta: 1 day, 13:21:45 time: 0.8766 data_time: 0.0341 memory: 22238 grad_norm: 31.1557 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.4329 loss: 2.4329 2022/07/31 04:07:58 - mmengine - INFO - Epoch(train) [4][1140/2505] lr: 1.4000e-04 eta: 1 day, 13:21:43 time: 1.0397 data_time: 0.0325 memory: 22238 grad_norm: 32.7096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1417 loss: 2.1417 2022/07/31 04:08:16 - mmengine - INFO - Epoch(train) [4][1160/2505] lr: 1.4000e-04 eta: 1 day, 13:20:49 time: 0.8769 data_time: 0.0531 memory: 22238 grad_norm: 31.3850 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.2638 loss: 2.2638 2022/07/31 04:08:37 - mmengine - INFO - Epoch(train) [4][1180/2505] lr: 1.4000e-04 eta: 1 day, 13:21:06 time: 1.0998 data_time: 0.0493 memory: 22238 grad_norm: 30.6967 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 2.1491 loss: 2.1491 2022/07/31 04:08:56 - mmengine - INFO - Epoch(train) [4][1200/2505] lr: 1.4000e-04 eta: 1 day, 13:20:20 time: 0.9009 data_time: 0.0810 memory: 22238 grad_norm: 30.9417 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.3200 loss: 2.3200 2022/07/31 04:09:17 - mmengine - INFO - Epoch(train) [4][1220/2505] lr: 1.4000e-04 eta: 1 day, 13:20:31 time: 1.0809 data_time: 0.1332 memory: 22238 grad_norm: 32.2593 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.1150 loss: 2.1150 2022/07/31 04:09:35 - mmengine - INFO - Epoch(train) [4][1240/2505] lr: 1.4000e-04 eta: 1 day, 13:19:47 time: 0.9080 data_time: 0.1441 memory: 22238 grad_norm: 31.9967 top1_acc: 0.1667 top5_acc: 0.5833 loss_cls: 2.3655 loss: 2.3655 2022/07/31 04:09:57 - mmengine - INFO - Epoch(train) [4][1260/2505] lr: 1.4000e-04 eta: 1 day, 13:19:55 time: 1.0707 data_time: 0.1283 memory: 22238 grad_norm: 31.4479 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1073 loss: 2.1073 2022/07/31 04:10:16 - mmengine - INFO - Epoch(train) [4][1280/2505] lr: 1.4000e-04 eta: 1 day, 13:19:23 time: 0.9478 data_time: 0.1506 memory: 22238 grad_norm: 33.4558 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.2844 loss: 2.2844 2022/07/31 04:10:36 - mmengine - INFO - Epoch(train) [4][1300/2505] lr: 1.4000e-04 eta: 1 day, 13:19:21 time: 1.0402 data_time: 0.1353 memory: 22238 grad_norm: 31.7297 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2000 loss: 2.2000 2022/07/31 04:10:55 - mmengine - INFO - Epoch(train) [4][1320/2505] lr: 1.4000e-04 eta: 1 day, 13:18:47 time: 0.9379 data_time: 0.0775 memory: 22238 grad_norm: 30.8081 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.2439 loss: 2.2439 2022/07/31 04:11:17 - mmengine - INFO - Epoch(train) [4][1340/2505] lr: 1.4000e-04 eta: 1 day, 13:19:06 time: 1.1104 data_time: 0.0344 memory: 22238 grad_norm: 32.2028 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1535 loss: 2.1535 2022/07/31 04:11:35 - mmengine - INFO - Epoch(train) [4][1360/2505] lr: 1.4000e-04 eta: 1 day, 13:18:13 time: 0.8746 data_time: 0.0279 memory: 22238 grad_norm: 31.3033 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0471 loss: 2.0471 2022/07/31 04:11:58 - mmengine - INFO - Epoch(train) [4][1380/2505] lr: 1.4000e-04 eta: 1 day, 13:18:43 time: 1.1477 data_time: 0.0328 memory: 22238 grad_norm: 32.7382 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.4016 loss: 2.4016 2022/07/31 04:12:14 - mmengine - INFO - Epoch(train) [4][1400/2505] lr: 1.4000e-04 eta: 1 day, 13:17:35 time: 0.8277 data_time: 0.0336 memory: 22238 grad_norm: 32.3159 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.1639 loss: 2.1639 2022/07/31 04:12:37 - mmengine - INFO - Epoch(train) [4][1420/2505] lr: 1.4000e-04 eta: 1 day, 13:17:58 time: 1.1244 data_time: 0.0317 memory: 22238 grad_norm: 31.7326 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.3129 loss: 2.3129 2022/07/31 04:12:54 - mmengine - INFO - Epoch(train) [4][1440/2505] lr: 1.4000e-04 eta: 1 day, 13:17:02 time: 0.8652 data_time: 0.0280 memory: 22238 grad_norm: 30.7303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2020 loss: 2.2020 2022/07/31 04:13:16 - mmengine - INFO - Epoch(train) [4][1460/2505] lr: 1.4000e-04 eta: 1 day, 13:17:11 time: 1.0795 data_time: 0.0334 memory: 22238 grad_norm: 31.5522 top1_acc: 0.1667 top5_acc: 0.5833 loss_cls: 2.2158 loss: 2.2158 2022/07/31 04:13:34 - mmengine - INFO - Epoch(train) [4][1480/2505] lr: 1.4000e-04 eta: 1 day, 13:16:21 time: 0.8841 data_time: 0.0273 memory: 22238 grad_norm: 30.1787 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1988 loss: 2.1988 2022/07/31 04:13:40 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 04:13:56 - mmengine - INFO - Epoch(train) [4][1500/2505] lr: 1.4000e-04 eta: 1 day, 13:16:40 time: 1.1121 data_time: 0.0380 memory: 22238 grad_norm: 31.1074 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.1275 loss: 2.1275 2022/07/31 04:14:13 - mmengine - INFO - Epoch(train) [4][1520/2505] lr: 1.4000e-04 eta: 1 day, 13:15:42 time: 0.8578 data_time: 0.0287 memory: 22238 grad_norm: 31.2101 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.2387 loss: 2.2387 2022/07/31 04:14:35 - mmengine - INFO - Epoch(train) [4][1540/2505] lr: 1.4000e-04 eta: 1 day, 13:15:59 time: 1.1069 data_time: 0.0319 memory: 22238 grad_norm: 31.4947 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.1100 loss: 2.1100 2022/07/31 04:14:52 - mmengine - INFO - Epoch(train) [4][1560/2505] lr: 1.4000e-04 eta: 1 day, 13:14:56 time: 0.8419 data_time: 0.0277 memory: 22238 grad_norm: 30.8186 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.2891 loss: 2.2891 2022/07/31 04:15:14 - mmengine - INFO - Epoch(train) [4][1580/2505] lr: 1.4000e-04 eta: 1 day, 13:15:20 time: 1.1278 data_time: 0.0329 memory: 22238 grad_norm: 31.8323 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9872 loss: 1.9872 2022/07/31 04:15:31 - mmengine - INFO - Epoch(train) [4][1600/2505] lr: 1.4000e-04 eta: 1 day, 13:14:16 time: 0.8363 data_time: 0.0276 memory: 22238 grad_norm: 30.9712 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.3881 loss: 2.3881 2022/07/31 04:15:53 - mmengine - INFO - Epoch(train) [4][1620/2505] lr: 1.4000e-04 eta: 1 day, 13:14:24 time: 1.0783 data_time: 0.0290 memory: 22238 grad_norm: 31.2557 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0491 loss: 2.0491 2022/07/31 04:16:09 - mmengine - INFO - Epoch(train) [4][1640/2505] lr: 1.4000e-04 eta: 1 day, 13:13:14 time: 0.8167 data_time: 0.0280 memory: 22238 grad_norm: 31.0657 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1602 loss: 2.1602 2022/07/31 04:16:31 - mmengine - INFO - Epoch(train) [4][1660/2505] lr: 1.4000e-04 eta: 1 day, 13:13:26 time: 1.0903 data_time: 0.0994 memory: 22238 grad_norm: 31.1898 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.3299 loss: 2.3299 2022/07/31 04:16:49 - mmengine - INFO - Epoch(train) [4][1680/2505] lr: 1.4000e-04 eta: 1 day, 13:12:43 time: 0.9045 data_time: 0.0919 memory: 22238 grad_norm: 30.8764 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0623 loss: 2.0623 2022/07/31 04:17:11 - mmengine - INFO - Epoch(train) [4][1700/2505] lr: 1.4000e-04 eta: 1 day, 13:12:53 time: 1.0865 data_time: 0.1042 memory: 22238 grad_norm: 31.1838 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.2449 loss: 2.2449 2022/07/31 04:17:28 - mmengine - INFO - Epoch(train) [4][1720/2505] lr: 1.4000e-04 eta: 1 day, 13:12:05 time: 0.8886 data_time: 0.0772 memory: 22238 grad_norm: 31.8600 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1403 loss: 2.1403 2022/07/31 04:17:49 - mmengine - INFO - Epoch(train) [4][1740/2505] lr: 1.4000e-04 eta: 1 day, 13:12:06 time: 1.0541 data_time: 0.0774 memory: 22238 grad_norm: 30.1837 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.2038 loss: 2.2038 2022/07/31 04:18:08 - mmengine - INFO - Epoch(train) [4][1760/2505] lr: 1.4000e-04 eta: 1 day, 13:11:25 time: 0.9111 data_time: 0.1174 memory: 22238 grad_norm: 32.3106 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9955 loss: 1.9955 2022/07/31 04:18:29 - mmengine - INFO - Epoch(train) [4][1780/2505] lr: 1.4000e-04 eta: 1 day, 13:11:30 time: 1.0676 data_time: 0.1819 memory: 22238 grad_norm: 32.2246 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9775 loss: 1.9775 2022/07/31 04:18:47 - mmengine - INFO - Epoch(train) [4][1800/2505] lr: 1.4000e-04 eta: 1 day, 13:10:46 time: 0.9025 data_time: 0.2720 memory: 22238 grad_norm: 31.8894 top1_acc: 0.4167 top5_acc: 0.4167 loss_cls: 2.4629 loss: 2.4629 2022/07/31 04:19:08 - mmengine - INFO - Epoch(train) [4][1820/2505] lr: 1.4000e-04 eta: 1 day, 13:10:39 time: 1.0285 data_time: 0.3464 memory: 22238 grad_norm: 30.5414 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.1678 loss: 2.1678 2022/07/31 04:19:28 - mmengine - INFO - Epoch(train) [4][1840/2505] lr: 1.4000e-04 eta: 1 day, 13:10:22 time: 0.9918 data_time: 0.3524 memory: 22238 grad_norm: 31.1497 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0183 loss: 2.0183 2022/07/31 04:19:47 - mmengine - INFO - Epoch(train) [4][1860/2505] lr: 1.4000e-04 eta: 1 day, 13:10:03 time: 0.9882 data_time: 0.2441 memory: 22238 grad_norm: 31.2826 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.2435 loss: 2.2435 2022/07/31 04:20:06 - mmengine - INFO - Epoch(train) [4][1880/2505] lr: 1.4000e-04 eta: 1 day, 13:09:35 time: 0.9568 data_time: 0.1272 memory: 22238 grad_norm: 29.3980 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7504 loss: 1.7504 2022/07/31 04:20:27 - mmengine - INFO - Epoch(train) [4][1900/2505] lr: 1.4000e-04 eta: 1 day, 13:09:23 time: 1.0103 data_time: 0.0890 memory: 22238 grad_norm: 30.8119 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.1396 loss: 2.1396 2022/07/31 04:20:46 - mmengine - INFO - Epoch(train) [4][1920/2505] lr: 1.4000e-04 eta: 1 day, 13:09:03 time: 0.9836 data_time: 0.2058 memory: 22238 grad_norm: 31.9701 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.0294 loss: 2.0294 2022/07/31 04:21:08 - mmengine - INFO - Epoch(train) [4][1940/2505] lr: 1.4000e-04 eta: 1 day, 13:09:09 time: 1.0746 data_time: 0.2970 memory: 22238 grad_norm: 30.3301 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9261 loss: 1.9261 2022/07/31 04:21:25 - mmengine - INFO - Epoch(train) [4][1960/2505] lr: 1.4000e-04 eta: 1 day, 13:08:14 time: 0.8588 data_time: 0.2130 memory: 22238 grad_norm: 31.4606 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.2794 loss: 2.2794 2022/07/31 04:21:47 - mmengine - INFO - Epoch(train) [4][1980/2505] lr: 1.4000e-04 eta: 1 day, 13:08:28 time: 1.1029 data_time: 0.4435 memory: 22238 grad_norm: 30.6990 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 2.1741 loss: 2.1741 2022/07/31 04:22:05 - mmengine - INFO - Epoch(train) [4][2000/2505] lr: 1.4000e-04 eta: 1 day, 13:07:41 time: 0.8889 data_time: 0.4170 memory: 22238 grad_norm: 31.2622 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9599 loss: 1.9599 2022/07/31 04:22:26 - mmengine - INFO - Epoch(train) [4][2020/2505] lr: 1.4000e-04 eta: 1 day, 13:07:45 time: 1.0683 data_time: 0.5221 memory: 22238 grad_norm: 31.5618 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.2881 loss: 2.2881 2022/07/31 04:22:44 - mmengine - INFO - Epoch(train) [4][2040/2505] lr: 1.4000e-04 eta: 1 day, 13:06:58 time: 0.8892 data_time: 0.3783 memory: 22238 grad_norm: 31.6125 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.2490 loss: 2.2490 2022/07/31 04:23:06 - mmengine - INFO - Epoch(train) [4][2060/2505] lr: 1.4000e-04 eta: 1 day, 13:07:07 time: 1.0850 data_time: 0.5577 memory: 22238 grad_norm: 30.2946 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0814 loss: 2.0814 2022/07/31 04:23:23 - mmengine - INFO - Epoch(train) [4][2080/2505] lr: 1.4000e-04 eta: 1 day, 13:06:20 time: 0.8898 data_time: 0.4389 memory: 22238 grad_norm: 29.8150 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.2518 loss: 2.2518 2022/07/31 04:23:45 - mmengine - INFO - Epoch(train) [4][2100/2505] lr: 1.4000e-04 eta: 1 day, 13:06:33 time: 1.1005 data_time: 0.6312 memory: 22238 grad_norm: 31.2788 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0560 loss: 2.0560 2022/07/31 04:24:04 - mmengine - INFO - Epoch(train) [4][2120/2505] lr: 1.4000e-04 eta: 1 day, 13:05:55 time: 0.9174 data_time: 0.3474 memory: 22238 grad_norm: 31.3692 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1916 loss: 2.1916 2022/07/31 04:24:24 - mmengine - INFO - Epoch(train) [4][2140/2505] lr: 1.4000e-04 eta: 1 day, 13:05:39 time: 0.9994 data_time: 0.4306 memory: 22238 grad_norm: 29.4440 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.5113 loss: 2.5113 2022/07/31 04:24:42 - mmengine - INFO - Epoch(train) [4][2160/2505] lr: 1.4000e-04 eta: 1 day, 13:05:02 time: 0.9213 data_time: 0.3232 memory: 22238 grad_norm: 30.5457 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.2635 loss: 2.2635 2022/07/31 04:25:04 - mmengine - INFO - Epoch(train) [4][2180/2505] lr: 1.4000e-04 eta: 1 day, 13:05:09 time: 1.0789 data_time: 0.5708 memory: 22238 grad_norm: 30.4006 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 2.0764 loss: 2.0764 2022/07/31 04:25:22 - mmengine - INFO - Epoch(train) [4][2200/2505] lr: 1.4000e-04 eta: 1 day, 13:04:21 time: 0.8855 data_time: 0.4568 memory: 22238 grad_norm: 31.5083 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.3159 loss: 2.3159 2022/07/31 04:25:43 - mmengine - INFO - Epoch(train) [4][2220/2505] lr: 1.4000e-04 eta: 1 day, 13:04:24 time: 1.0658 data_time: 0.6420 memory: 22238 grad_norm: 30.3094 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.3710 loss: 2.3710 2022/07/31 04:26:00 - mmengine - INFO - Epoch(train) [4][2240/2505] lr: 1.4000e-04 eta: 1 day, 13:03:35 time: 0.8763 data_time: 0.4488 memory: 22238 grad_norm: 30.2851 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3963 loss: 2.3963 2022/07/31 04:26:23 - mmengine - INFO - Epoch(train) [4][2260/2505] lr: 1.4000e-04 eta: 1 day, 13:03:48 time: 1.1045 data_time: 0.5918 memory: 22238 grad_norm: 30.6980 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9750 loss: 1.9750 2022/07/31 04:26:39 - mmengine - INFO - Epoch(train) [4][2280/2505] lr: 1.4000e-04 eta: 1 day, 13:02:51 time: 0.8496 data_time: 0.3328 memory: 22238 grad_norm: 30.6469 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9531 loss: 1.9531 2022/07/31 04:27:01 - mmengine - INFO - Epoch(train) [4][2300/2505] lr: 1.4000e-04 eta: 1 day, 13:03:03 time: 1.0985 data_time: 0.6188 memory: 22238 grad_norm: 31.9200 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.8730 loss: 1.8730 2022/07/31 04:27:19 - mmengine - INFO - Epoch(train) [4][2320/2505] lr: 1.4000e-04 eta: 1 day, 13:02:13 time: 0.8755 data_time: 0.3629 memory: 22238 grad_norm: 31.0517 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.0528 loss: 2.0528 2022/07/31 04:27:40 - mmengine - INFO - Epoch(train) [4][2340/2505] lr: 1.4000e-04 eta: 1 day, 13:02:18 time: 1.0750 data_time: 0.6264 memory: 22238 grad_norm: 30.2999 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1168 loss: 2.1168 2022/07/31 04:27:59 - mmengine - INFO - Epoch(train) [4][2360/2505] lr: 1.4000e-04 eta: 1 day, 13:01:42 time: 0.9221 data_time: 0.3580 memory: 22238 grad_norm: 29.7270 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0045 loss: 2.0045 2022/07/31 04:28:20 - mmengine - INFO - Epoch(train) [4][2380/2505] lr: 1.4000e-04 eta: 1 day, 13:01:42 time: 1.0582 data_time: 0.3937 memory: 22238 grad_norm: 30.6542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9017 loss: 1.9017 2022/07/31 04:28:39 - mmengine - INFO - Epoch(train) [4][2400/2505] lr: 1.4000e-04 eta: 1 day, 13:01:08 time: 0.9323 data_time: 0.2441 memory: 22238 grad_norm: 30.5085 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1627 loss: 2.1627 2022/07/31 04:28:59 - mmengine - INFO - Epoch(train) [4][2420/2505] lr: 1.4000e-04 eta: 1 day, 13:00:58 time: 1.0181 data_time: 0.4829 memory: 22238 grad_norm: 32.4113 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.0765 loss: 2.0765 2022/07/31 04:29:17 - mmengine - INFO - Epoch(train) [4][2440/2505] lr: 1.4000e-04 eta: 1 day, 13:00:16 time: 0.9039 data_time: 0.3671 memory: 22238 grad_norm: 30.8387 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.4558 loss: 2.4558 2022/07/31 04:29:38 - mmengine - INFO - Epoch(train) [4][2460/2505] lr: 1.4000e-04 eta: 1 day, 13:00:19 time: 1.0690 data_time: 0.5841 memory: 22238 grad_norm: 30.6076 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.2551 loss: 2.2551 2022/07/31 04:29:57 - mmengine - INFO - Epoch(train) [4][2480/2505] lr: 1.4000e-04 eta: 1 day, 12:59:37 time: 0.9003 data_time: 0.4053 memory: 22238 grad_norm: 29.1882 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1395 loss: 2.1395 2022/07/31 04:30:04 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 04:30:15 - mmengine - INFO - Epoch(train) [4][2500/2505] lr: 1.4000e-04 eta: 1 day, 12:59:02 time: 0.9273 data_time: 0.4547 memory: 22238 grad_norm: 32.3593 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.2036 loss: 2.2036 2022/07/31 04:30:17 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 04:30:17 - mmengine - INFO - Epoch(train) [4][2505/2505] lr: 1.4000e-04 eta: 1 day, 12:59:02 time: 0.6483 data_time: 0.2344 memory: 22238 grad_norm: 31.1276 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.1958 loss: 2.1958 2022/07/31 04:30:17 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/07/31 04:30:44 - mmengine - INFO - Epoch(train) [5][20/2505] lr: 1.7000e-04 eta: 1 day, 12:58:38 time: 1.2324 data_time: 0.8419 memory: 22238 grad_norm: 31.2573 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.1575 loss: 2.1575 2022/07/31 04:31:01 - mmengine - INFO - Epoch(train) [5][40/2505] lr: 1.7000e-04 eta: 1 day, 12:57:41 time: 0.8486 data_time: 0.4602 memory: 22238 grad_norm: 34.0416 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1373 loss: 2.1373 2022/07/31 04:31:24 - mmengine - INFO - Epoch(train) [5][60/2505] lr: 1.7000e-04 eta: 1 day, 12:58:07 time: 1.1542 data_time: 0.7504 memory: 22238 grad_norm: 30.4503 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8420 loss: 1.8420 2022/07/31 04:31:41 - mmengine - INFO - Epoch(train) [5][80/2505] lr: 1.7000e-04 eta: 1 day, 12:57:13 time: 0.8535 data_time: 0.4568 memory: 22238 grad_norm: 29.5856 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.1111 loss: 2.1111 2022/07/31 04:32:05 - mmengine - INFO - Epoch(train) [5][100/2505] lr: 1.7000e-04 eta: 1 day, 12:57:44 time: 1.1745 data_time: 0.7543 memory: 22238 grad_norm: 31.2477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3692 loss: 2.3692 2022/07/31 04:32:23 - mmengine - INFO - Epoch(train) [5][120/2505] lr: 1.7000e-04 eta: 1 day, 12:57:04 time: 0.9070 data_time: 0.5109 memory: 22238 grad_norm: 30.4535 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9542 loss: 1.9542 2022/07/31 04:32:45 - mmengine - INFO - Epoch(train) [5][140/2505] lr: 1.7000e-04 eta: 1 day, 12:57:13 time: 1.0923 data_time: 0.6675 memory: 22238 grad_norm: 29.4280 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1318 loss: 2.1318 2022/07/31 04:33:02 - mmengine - INFO - Epoch(train) [5][160/2505] lr: 1.7000e-04 eta: 1 day, 12:56:17 time: 0.8475 data_time: 0.4435 memory: 22238 grad_norm: 30.6752 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1469 loss: 2.1469 2022/07/31 04:33:23 - mmengine - INFO - Epoch(train) [5][180/2505] lr: 1.7000e-04 eta: 1 day, 12:56:16 time: 1.0556 data_time: 0.6527 memory: 22238 grad_norm: 30.2809 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.0931 loss: 2.0931 2022/07/31 04:33:40 - mmengine - INFO - Epoch(train) [5][200/2505] lr: 1.7000e-04 eta: 1 day, 12:55:27 time: 0.8744 data_time: 0.4770 memory: 22238 grad_norm: 30.3216 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.3711 loss: 2.3711 2022/07/31 04:34:02 - mmengine - INFO - Epoch(train) [5][220/2505] lr: 1.7000e-04 eta: 1 day, 12:55:34 time: 1.0858 data_time: 0.6926 memory: 22238 grad_norm: 30.1687 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.9619 loss: 1.9619 2022/07/31 04:34:19 - mmengine - INFO - Epoch(train) [5][240/2505] lr: 1.7000e-04 eta: 1 day, 12:54:37 time: 0.8416 data_time: 0.4454 memory: 22238 grad_norm: 31.8065 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.1351 loss: 2.1351 2022/07/31 04:34:42 - mmengine - INFO - Epoch(train) [5][260/2505] lr: 1.7000e-04 eta: 1 day, 12:54:54 time: 1.1248 data_time: 0.6941 memory: 22238 grad_norm: 30.6268 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.2431 loss: 2.2431 2022/07/31 04:34:59 - mmengine - INFO - Epoch(train) [5][280/2505] lr: 1.7000e-04 eta: 1 day, 12:54:04 time: 0.8659 data_time: 0.4261 memory: 22238 grad_norm: 29.7820 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.0435 loss: 2.0435 2022/07/31 04:35:21 - mmengine - INFO - Epoch(train) [5][300/2505] lr: 1.7000e-04 eta: 1 day, 12:54:19 time: 1.1173 data_time: 0.5894 memory: 22238 grad_norm: 30.4305 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9919 loss: 1.9919 2022/07/31 04:35:39 - mmengine - INFO - Epoch(train) [5][320/2505] lr: 1.7000e-04 eta: 1 day, 12:53:35 time: 0.8913 data_time: 0.3381 memory: 22238 grad_norm: 31.2004 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0382 loss: 2.0382 2022/07/31 04:36:01 - mmengine - INFO - Epoch(train) [5][340/2505] lr: 1.7000e-04 eta: 1 day, 12:53:41 time: 1.0846 data_time: 0.4876 memory: 22238 grad_norm: 32.6429 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1024 loss: 2.1024 2022/07/31 04:36:18 - mmengine - INFO - Epoch(train) [5][360/2505] lr: 1.7000e-04 eta: 1 day, 12:52:56 time: 0.8864 data_time: 0.4012 memory: 22238 grad_norm: 30.4149 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.9864 loss: 1.9864 2022/07/31 04:36:40 - mmengine - INFO - Epoch(train) [5][380/2505] lr: 1.7000e-04 eta: 1 day, 12:53:04 time: 1.0919 data_time: 0.6012 memory: 22238 grad_norm: 31.3742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0115 loss: 2.0115 2022/07/31 04:36:58 - mmengine - INFO - Epoch(train) [5][400/2505] lr: 1.7000e-04 eta: 1 day, 12:52:23 time: 0.9001 data_time: 0.3750 memory: 22238 grad_norm: 29.8880 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1862 loss: 2.1862 2022/07/31 04:37:20 - mmengine - INFO - Epoch(train) [5][420/2505] lr: 1.7000e-04 eta: 1 day, 12:52:26 time: 1.0729 data_time: 0.4542 memory: 22238 grad_norm: 30.6649 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.3869 loss: 2.3869 2022/07/31 04:37:38 - mmengine - INFO - Epoch(train) [5][440/2505] lr: 1.7000e-04 eta: 1 day, 12:51:42 time: 0.8908 data_time: 0.3151 memory: 22238 grad_norm: 30.1457 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9533 loss: 1.9533 2022/07/31 04:38:00 - mmengine - INFO - Epoch(train) [5][460/2505] lr: 1.7000e-04 eta: 1 day, 12:51:53 time: 1.1018 data_time: 0.3994 memory: 22238 grad_norm: 30.6675 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0290 loss: 2.0290 2022/07/31 04:38:17 - mmengine - INFO - Epoch(train) [5][480/2505] lr: 1.7000e-04 eta: 1 day, 12:51:08 time: 0.8886 data_time: 0.3108 memory: 22238 grad_norm: 30.3832 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0471 loss: 2.0471 2022/07/31 04:38:40 - mmengine - INFO - Epoch(train) [5][500/2505] lr: 1.7000e-04 eta: 1 day, 12:51:28 time: 1.1366 data_time: 0.2298 memory: 22238 grad_norm: 30.9316 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.3454 loss: 2.3454 2022/07/31 04:38:58 - mmengine - INFO - Epoch(train) [5][520/2505] lr: 1.7000e-04 eta: 1 day, 12:50:42 time: 0.8830 data_time: 0.1052 memory: 22238 grad_norm: 29.9051 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1697 loss: 2.1697 2022/07/31 04:39:19 - mmengine - INFO - Epoch(train) [5][540/2505] lr: 1.7000e-04 eta: 1 day, 12:50:44 time: 1.0699 data_time: 0.2042 memory: 22238 grad_norm: 31.6979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2241 loss: 2.2241 2022/07/31 04:39:38 - mmengine - INFO - Epoch(train) [5][560/2505] lr: 1.7000e-04 eta: 1 day, 12:50:12 time: 0.9349 data_time: 0.2474 memory: 22238 grad_norm: 30.5323 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.4516 loss: 2.4516 2022/07/31 04:39:58 - mmengine - INFO - Epoch(train) [5][580/2505] lr: 1.7000e-04 eta: 1 day, 12:50:02 time: 1.0210 data_time: 0.1631 memory: 22238 grad_norm: 31.1792 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.9862 loss: 1.9862 2022/07/31 04:40:17 - mmengine - INFO - Epoch(train) [5][600/2505] lr: 1.7000e-04 eta: 1 day, 12:49:31 time: 0.9421 data_time: 0.0818 memory: 22238 grad_norm: 30.0685 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9599 loss: 1.9599 2022/07/31 04:40:39 - mmengine - INFO - Epoch(train) [5][620/2505] lr: 1.7000e-04 eta: 1 day, 12:49:36 time: 1.0806 data_time: 0.0590 memory: 22238 grad_norm: 30.5920 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.2170 loss: 2.2170 2022/07/31 04:40:57 - mmengine - INFO - Epoch(train) [5][640/2505] lr: 1.7000e-04 eta: 1 day, 12:49:01 time: 0.9250 data_time: 0.1825 memory: 22238 grad_norm: 31.8644 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0473 loss: 2.0473 2022/07/31 04:41:17 - mmengine - INFO - Epoch(train) [5][660/2505] lr: 1.7000e-04 eta: 1 day, 12:48:44 time: 0.9944 data_time: 0.2249 memory: 22238 grad_norm: 31.9271 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.3058 loss: 2.3058 2022/07/31 04:41:37 - mmengine - INFO - Epoch(train) [5][680/2505] lr: 1.7000e-04 eta: 1 day, 12:48:26 time: 0.9935 data_time: 0.3982 memory: 22238 grad_norm: 31.5661 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.2947 loss: 2.2947 2022/07/31 04:41:56 - mmengine - INFO - Epoch(train) [5][700/2505] lr: 1.7000e-04 eta: 1 day, 12:48:01 time: 0.9611 data_time: 0.2493 memory: 22238 grad_norm: 30.0148 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.1918 loss: 2.1918 2022/07/31 04:42:17 - mmengine - INFO - Epoch(train) [5][720/2505] lr: 1.7000e-04 eta: 1 day, 12:47:50 time: 1.0195 data_time: 0.3830 memory: 22238 grad_norm: 30.6282 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.2442 loss: 2.2442 2022/07/31 04:42:35 - mmengine - INFO - Epoch(train) [5][740/2505] lr: 1.7000e-04 eta: 1 day, 12:47:20 time: 0.9423 data_time: 0.2230 memory: 22238 grad_norm: 30.0115 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.1347 loss: 2.1347 2022/07/31 04:42:56 - mmengine - INFO - Epoch(train) [5][760/2505] lr: 1.7000e-04 eta: 1 day, 12:47:13 time: 1.0380 data_time: 0.5079 memory: 22238 grad_norm: 29.3552 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8507 loss: 1.8507 2022/07/31 04:43:15 - mmengine - INFO - Epoch(train) [5][780/2505] lr: 1.7000e-04 eta: 1 day, 12:46:37 time: 0.9175 data_time: 0.3298 memory: 22238 grad_norm: 31.4559 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.3935 loss: 2.3935 2022/07/31 04:43:36 - mmengine - INFO - Epoch(train) [5][800/2505] lr: 1.7000e-04 eta: 1 day, 12:46:41 time: 1.0815 data_time: 0.5599 memory: 22238 grad_norm: 30.1915 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.3964 loss: 2.3964 2022/07/31 04:43:53 - mmengine - INFO - Epoch(train) [5][820/2505] lr: 1.7000e-04 eta: 1 day, 12:45:43 time: 0.8283 data_time: 0.4093 memory: 22238 grad_norm: 29.4713 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9852 loss: 1.9852 2022/07/31 04:44:15 - mmengine - INFO - Epoch(train) [5][840/2505] lr: 1.7000e-04 eta: 1 day, 12:46:00 time: 1.1341 data_time: 0.6742 memory: 22238 grad_norm: 29.4035 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0098 loss: 2.0098 2022/07/31 04:44:32 - mmengine - INFO - Epoch(train) [5][860/2505] lr: 1.7000e-04 eta: 1 day, 12:45:03 time: 0.8327 data_time: 0.4072 memory: 22238 grad_norm: 29.7422 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.2365 loss: 2.2365 2022/07/31 04:44:54 - mmengine - INFO - Epoch(train) [5][880/2505] lr: 1.7000e-04 eta: 1 day, 12:45:08 time: 1.0840 data_time: 0.6502 memory: 22238 grad_norm: 28.9196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0695 loss: 2.0695 2022/07/31 04:45:12 - mmengine - INFO - Epoch(train) [5][900/2505] lr: 1.7000e-04 eta: 1 day, 12:44:33 time: 0.9238 data_time: 0.4056 memory: 22238 grad_norm: 28.5333 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9164 loss: 1.9164 2022/07/31 04:45:34 - mmengine - INFO - Epoch(train) [5][920/2505] lr: 1.7000e-04 eta: 1 day, 12:44:36 time: 1.0766 data_time: 0.6213 memory: 22238 grad_norm: 29.8305 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8722 loss: 1.8722 2022/07/31 04:45:51 - mmengine - INFO - Epoch(train) [5][940/2505] lr: 1.7000e-04 eta: 1 day, 12:43:50 time: 0.8752 data_time: 0.4452 memory: 22238 grad_norm: 29.4448 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 2.0562 loss: 2.0562 2022/07/31 04:46:13 - mmengine - INFO - Epoch(train) [5][960/2505] lr: 1.7000e-04 eta: 1 day, 12:43:56 time: 1.0886 data_time: 0.6745 memory: 22238 grad_norm: 29.7476 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1211 loss: 2.1211 2022/07/31 04:46:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 04:46:31 - mmengine - INFO - Epoch(train) [5][980/2505] lr: 1.7000e-04 eta: 1 day, 12:43:15 time: 0.9004 data_time: 0.5002 memory: 22238 grad_norm: 28.8295 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.1089 loss: 2.1089 2022/07/31 04:46:53 - mmengine - INFO - Epoch(train) [5][1000/2505] lr: 1.7000e-04 eta: 1 day, 12:43:27 time: 1.1125 data_time: 0.6954 memory: 22238 grad_norm: 29.5608 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.2564 loss: 2.2564 2022/07/31 04:47:11 - mmengine - INFO - Epoch(train) [5][1020/2505] lr: 1.7000e-04 eta: 1 day, 12:42:41 time: 0.8775 data_time: 0.4523 memory: 22238 grad_norm: 30.8825 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0826 loss: 2.0826 2022/07/31 04:47:32 - mmengine - INFO - Epoch(train) [5][1040/2505] lr: 1.7000e-04 eta: 1 day, 12:42:39 time: 1.0586 data_time: 0.6505 memory: 22238 grad_norm: 29.5437 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9714 loss: 1.9714 2022/07/31 04:47:49 - mmengine - INFO - Epoch(train) [5][1060/2505] lr: 1.7000e-04 eta: 1 day, 12:41:48 time: 0.8554 data_time: 0.4428 memory: 22238 grad_norm: 30.6905 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.2162 loss: 2.2162 2022/07/31 04:48:10 - mmengine - INFO - Epoch(train) [5][1080/2505] lr: 1.7000e-04 eta: 1 day, 12:41:42 time: 1.0393 data_time: 0.6384 memory: 22238 grad_norm: 29.1722 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.2540 loss: 2.2540 2022/07/31 04:48:28 - mmengine - INFO - Epoch(train) [5][1100/2505] lr: 1.7000e-04 eta: 1 day, 12:41:04 time: 0.9094 data_time: 0.5065 memory: 22238 grad_norm: 30.8439 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.1024 loss: 2.1024 2022/07/31 04:48:49 - mmengine - INFO - Epoch(train) [5][1120/2505] lr: 1.7000e-04 eta: 1 day, 12:40:54 time: 1.0226 data_time: 0.6103 memory: 22238 grad_norm: 29.9441 top1_acc: 0.3333 top5_acc: 0.3333 loss_cls: 2.1801 loss: 2.1801 2022/07/31 04:49:09 - mmengine - INFO - Epoch(train) [5][1140/2505] lr: 1.7000e-04 eta: 1 day, 12:40:46 time: 1.0357 data_time: 0.5980 memory: 22238 grad_norm: 30.3986 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9740 loss: 1.9740 2022/07/31 04:49:28 - mmengine - INFO - Epoch(train) [5][1160/2505] lr: 1.7000e-04 eta: 1 day, 12:40:13 time: 0.9283 data_time: 0.5021 memory: 22238 grad_norm: 29.1929 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9590 loss: 1.9590 2022/07/31 04:49:50 - mmengine - INFO - Epoch(train) [5][1180/2505] lr: 1.7000e-04 eta: 1 day, 12:40:18 time: 1.0883 data_time: 0.6849 memory: 22238 grad_norm: 29.9359 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.1033 loss: 2.1033 2022/07/31 04:50:08 - mmengine - INFO - Epoch(train) [5][1200/2505] lr: 1.7000e-04 eta: 1 day, 12:39:44 time: 0.9228 data_time: 0.4997 memory: 22238 grad_norm: 29.6775 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6265 loss: 1.6265 2022/07/31 04:50:30 - mmengine - INFO - Epoch(train) [5][1220/2505] lr: 1.7000e-04 eta: 1 day, 12:39:52 time: 1.0991 data_time: 0.6881 memory: 22238 grad_norm: 30.4687 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5104 loss: 2.5104 2022/07/31 04:50:48 - mmengine - INFO - Epoch(train) [5][1240/2505] lr: 1.7000e-04 eta: 1 day, 12:39:11 time: 0.8957 data_time: 0.4852 memory: 22238 grad_norm: 29.2542 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.9345 loss: 1.9345 2022/07/31 04:51:10 - mmengine - INFO - Epoch(train) [5][1260/2505] lr: 1.7000e-04 eta: 1 day, 12:39:19 time: 1.1033 data_time: 0.6953 memory: 22238 grad_norm: 29.2817 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.2692 loss: 2.2692 2022/07/31 04:51:27 - mmengine - INFO - Epoch(train) [5][1280/2505] lr: 1.7000e-04 eta: 1 day, 12:38:30 time: 0.8616 data_time: 0.4342 memory: 22238 grad_norm: 30.7953 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.2558 loss: 2.2558 2022/07/31 04:51:50 - mmengine - INFO - Epoch(train) [5][1300/2505] lr: 1.7000e-04 eta: 1 day, 12:38:48 time: 1.1410 data_time: 0.7293 memory: 22238 grad_norm: 30.5060 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9712 loss: 1.9712 2022/07/31 04:52:07 - mmengine - INFO - Epoch(train) [5][1320/2505] lr: 1.7000e-04 eta: 1 day, 12:37:55 time: 0.8442 data_time: 0.4281 memory: 22238 grad_norm: 30.0637 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0023 loss: 2.0023 2022/07/31 04:52:29 - mmengine - INFO - Epoch(train) [5][1340/2505] lr: 1.7000e-04 eta: 1 day, 12:38:06 time: 1.1151 data_time: 0.7163 memory: 22238 grad_norm: 29.5169 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0553 loss: 2.0553 2022/07/31 04:52:46 - mmengine - INFO - Epoch(train) [5][1360/2505] lr: 1.7000e-04 eta: 1 day, 12:37:11 time: 0.8361 data_time: 0.4147 memory: 22238 grad_norm: 30.0633 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.2083 loss: 2.2083 2022/07/31 04:53:09 - mmengine - INFO - Epoch(train) [5][1380/2505] lr: 1.7000e-04 eta: 1 day, 12:37:26 time: 1.1321 data_time: 0.7168 memory: 22238 grad_norm: 29.7392 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0988 loss: 2.0988 2022/07/31 04:53:26 - mmengine - INFO - Epoch(train) [5][1400/2505] lr: 1.7000e-04 eta: 1 day, 12:36:38 time: 0.8644 data_time: 0.4529 memory: 22238 grad_norm: 29.2504 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.2414 loss: 2.2414 2022/07/31 04:53:47 - mmengine - INFO - Epoch(train) [5][1420/2505] lr: 1.7000e-04 eta: 1 day, 12:36:30 time: 1.0329 data_time: 0.6050 memory: 22238 grad_norm: 29.9839 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0324 loss: 2.0324 2022/07/31 04:54:05 - mmengine - INFO - Epoch(train) [5][1440/2505] lr: 1.7000e-04 eta: 1 day, 12:35:50 time: 0.8961 data_time: 0.4634 memory: 22238 grad_norm: 29.4698 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0187 loss: 2.0187 2022/07/31 04:54:26 - mmengine - INFO - Epoch(train) [5][1460/2505] lr: 1.7000e-04 eta: 1 day, 12:35:55 time: 1.0912 data_time: 0.6718 memory: 22238 grad_norm: 28.3263 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.1991 loss: 2.1991 2022/07/31 04:54:44 - mmengine - INFO - Epoch(train) [5][1480/2505] lr: 1.7000e-04 eta: 1 day, 12:35:07 time: 0.8639 data_time: 0.4208 memory: 22238 grad_norm: 29.2946 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0444 loss: 2.0444 2022/07/31 04:55:05 - mmengine - INFO - Epoch(train) [5][1500/2505] lr: 1.7000e-04 eta: 1 day, 12:35:09 time: 1.0777 data_time: 0.5743 memory: 22238 grad_norm: 30.1080 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8997 loss: 1.8997 2022/07/31 04:55:22 - mmengine - INFO - Epoch(train) [5][1520/2505] lr: 1.7000e-04 eta: 1 day, 12:34:17 time: 0.8460 data_time: 0.2334 memory: 22238 grad_norm: 29.0771 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.2707 loss: 2.2707 2022/07/31 04:55:44 - mmengine - INFO - Epoch(train) [5][1540/2505] lr: 1.7000e-04 eta: 1 day, 12:34:23 time: 1.0927 data_time: 0.4199 memory: 22238 grad_norm: 30.0099 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3008 loss: 2.3008 2022/07/31 04:56:02 - mmengine - INFO - Epoch(train) [5][1560/2505] lr: 1.7000e-04 eta: 1 day, 12:33:43 time: 0.9000 data_time: 0.3419 memory: 22238 grad_norm: 29.3943 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.2112 loss: 2.2112 2022/07/31 04:56:23 - mmengine - INFO - Epoch(train) [5][1580/2505] lr: 1.7000e-04 eta: 1 day, 12:33:44 time: 1.0737 data_time: 0.5349 memory: 22238 grad_norm: 30.2301 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1937 loss: 2.1937 2022/07/31 04:56:41 - mmengine - INFO - Epoch(train) [5][1600/2505] lr: 1.7000e-04 eta: 1 day, 12:33:00 time: 0.8795 data_time: 0.3665 memory: 22238 grad_norm: 28.8387 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 2.0914 loss: 2.0914 2022/07/31 04:57:03 - mmengine - INFO - Epoch(train) [5][1620/2505] lr: 1.7000e-04 eta: 1 day, 12:33:02 time: 1.0789 data_time: 0.6834 memory: 22238 grad_norm: 30.3788 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.0446 loss: 2.0446 2022/07/31 04:57:20 - mmengine - INFO - Epoch(train) [5][1640/2505] lr: 1.7000e-04 eta: 1 day, 12:32:15 time: 0.8643 data_time: 0.4129 memory: 22238 grad_norm: 29.5376 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.0559 loss: 2.0559 2022/07/31 04:57:42 - mmengine - INFO - Epoch(train) [5][1660/2505] lr: 1.7000e-04 eta: 1 day, 12:32:23 time: 1.1047 data_time: 0.6403 memory: 22238 grad_norm: 28.9707 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.2749 loss: 2.2749 2022/07/31 04:58:00 - mmengine - INFO - Epoch(train) [5][1680/2505] lr: 1.7000e-04 eta: 1 day, 12:31:42 time: 0.8912 data_time: 0.4668 memory: 22238 grad_norm: 30.1311 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9233 loss: 1.9233 2022/07/31 04:58:22 - mmengine - INFO - Epoch(train) [5][1700/2505] lr: 1.7000e-04 eta: 1 day, 12:31:48 time: 1.0955 data_time: 0.7005 memory: 22238 grad_norm: 30.1678 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0085 loss: 2.0085 2022/07/31 04:58:40 - mmengine - INFO - Epoch(train) [5][1720/2505] lr: 1.7000e-04 eta: 1 day, 12:31:09 time: 0.9002 data_time: 0.5004 memory: 22238 grad_norm: 29.5178 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8480 loss: 1.8480 2022/07/31 04:59:02 - mmengine - INFO - Epoch(train) [5][1740/2505] lr: 1.7000e-04 eta: 1 day, 12:31:16 time: 1.1033 data_time: 0.6925 memory: 22238 grad_norm: 28.6595 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 2.0305 loss: 2.0305 2022/07/31 04:59:19 - mmengine - INFO - Epoch(train) [5][1760/2505] lr: 1.7000e-04 eta: 1 day, 12:30:28 time: 0.8612 data_time: 0.4560 memory: 22238 grad_norm: 28.4546 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 2.1307 loss: 2.1307 2022/07/31 04:59:42 - mmengine - INFO - Epoch(train) [5][1780/2505] lr: 1.7000e-04 eta: 1 day, 12:30:44 time: 1.1386 data_time: 0.6976 memory: 22238 grad_norm: 29.5095 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.1191 loss: 2.1191 2022/07/31 04:59:58 - mmengine - INFO - Epoch(train) [5][1800/2505] lr: 1.7000e-04 eta: 1 day, 12:29:46 time: 0.8174 data_time: 0.3045 memory: 22238 grad_norm: 30.5977 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.0849 loss: 2.0849 2022/07/31 05:00:20 - mmengine - INFO - Epoch(train) [5][1820/2505] lr: 1.7000e-04 eta: 1 day, 12:29:54 time: 1.1071 data_time: 0.6807 memory: 22238 grad_norm: 28.9412 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9889 loss: 1.9889 2022/07/31 05:00:39 - mmengine - INFO - Epoch(train) [5][1840/2505] lr: 1.7000e-04 eta: 1 day, 12:29:19 time: 0.9147 data_time: 0.4317 memory: 22238 grad_norm: 30.5923 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1361 loss: 2.1361 2022/07/31 05:01:00 - mmengine - INFO - Epoch(train) [5][1860/2505] lr: 1.7000e-04 eta: 1 day, 12:29:18 time: 1.0704 data_time: 0.5092 memory: 22238 grad_norm: 28.8903 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.1503 loss: 2.1503 2022/07/31 05:01:18 - mmengine - INFO - Epoch(train) [5][1880/2505] lr: 1.7000e-04 eta: 1 day, 12:28:39 time: 0.8956 data_time: 0.4793 memory: 22238 grad_norm: 29.9889 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1614 loss: 2.1614 2022/07/31 05:01:40 - mmengine - INFO - Epoch(train) [5][1900/2505] lr: 1.7000e-04 eta: 1 day, 12:28:49 time: 1.1167 data_time: 0.6480 memory: 22238 grad_norm: 28.8043 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.3164 loss: 2.3164 2022/07/31 05:01:58 - mmengine - INFO - Epoch(train) [5][1920/2505] lr: 1.7000e-04 eta: 1 day, 12:28:03 time: 0.8680 data_time: 0.2897 memory: 22238 grad_norm: 29.5751 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 2.1809 loss: 2.1809 2022/07/31 05:02:19 - mmengine - INFO - Epoch(train) [5][1940/2505] lr: 1.7000e-04 eta: 1 day, 12:28:02 time: 1.0691 data_time: 0.5006 memory: 22238 grad_norm: 29.1968 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.1804 loss: 2.1804 2022/07/31 05:02:36 - mmengine - INFO - Epoch(train) [5][1960/2505] lr: 1.7000e-04 eta: 1 day, 12:27:13 time: 0.8550 data_time: 0.3867 memory: 22238 grad_norm: 30.2577 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9811 loss: 1.9811 2022/07/31 05:02:59 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 05:02:59 - mmengine - INFO - Epoch(train) [5][1980/2505] lr: 1.7000e-04 eta: 1 day, 12:27:26 time: 1.1277 data_time: 0.6104 memory: 22238 grad_norm: 28.7425 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0035 loss: 2.0035 2022/07/31 05:03:16 - mmengine - INFO - Epoch(train) [5][2000/2505] lr: 1.7000e-04 eta: 1 day, 12:26:40 time: 0.8693 data_time: 0.4809 memory: 22238 grad_norm: 29.3953 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.0083 loss: 2.0083 2022/07/31 05:03:38 - mmengine - INFO - Epoch(train) [5][2020/2505] lr: 1.7000e-04 eta: 1 day, 12:26:48 time: 1.1064 data_time: 0.6886 memory: 22238 grad_norm: 28.6630 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.1382 loss: 2.1382 2022/07/31 05:03:55 - mmengine - INFO - Epoch(train) [5][2040/2505] lr: 1.7000e-04 eta: 1 day, 12:25:59 time: 0.8561 data_time: 0.4698 memory: 22238 grad_norm: 28.9305 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9976 loss: 1.9976 2022/07/31 05:04:17 - mmengine - INFO - Epoch(train) [5][2060/2505] lr: 1.7000e-04 eta: 1 day, 12:26:06 time: 1.1012 data_time: 0.6728 memory: 22238 grad_norm: 30.0171 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9873 loss: 1.9873 2022/07/31 05:04:34 - mmengine - INFO - Epoch(train) [5][2080/2505] lr: 1.7000e-04 eta: 1 day, 12:25:18 time: 0.8588 data_time: 0.4645 memory: 22238 grad_norm: 29.9022 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9053 loss: 1.9053 2022/07/31 05:04:58 - mmengine - INFO - Epoch(train) [5][2100/2505] lr: 1.7000e-04 eta: 1 day, 12:25:35 time: 1.1506 data_time: 0.7142 memory: 22238 grad_norm: 29.5823 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0478 loss: 2.0478 2022/07/31 05:05:14 - mmengine - INFO - Epoch(train) [5][2120/2505] lr: 1.7000e-04 eta: 1 day, 12:24:45 time: 0.8449 data_time: 0.3623 memory: 22238 grad_norm: 29.0015 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9358 loss: 1.9358 2022/07/31 05:05:35 - mmengine - INFO - Epoch(train) [5][2140/2505] lr: 1.7000e-04 eta: 1 day, 12:24:28 time: 1.0000 data_time: 0.5136 memory: 22238 grad_norm: 28.8033 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.4846 loss: 2.4846 2022/07/31 05:05:53 - mmengine - INFO - Epoch(train) [5][2160/2505] lr: 1.7000e-04 eta: 1 day, 12:23:56 time: 0.9290 data_time: 0.3268 memory: 22238 grad_norm: 29.3492 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 2.2252 loss: 2.2252 2022/07/31 05:06:14 - mmengine - INFO - Epoch(train) [5][2180/2505] lr: 1.7000e-04 eta: 1 day, 12:23:51 time: 1.0508 data_time: 0.4991 memory: 22238 grad_norm: 29.4368 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7833 loss: 1.7833 2022/07/31 05:06:33 - mmengine - INFO - Epoch(train) [5][2200/2505] lr: 1.7000e-04 eta: 1 day, 12:23:22 time: 0.9422 data_time: 0.3784 memory: 22238 grad_norm: 30.1491 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7363 loss: 1.7363 2022/07/31 05:06:54 - mmengine - INFO - Epoch(train) [5][2220/2505] lr: 1.7000e-04 eta: 1 day, 12:23:20 time: 1.0645 data_time: 0.6283 memory: 22238 grad_norm: 28.6944 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1739 loss: 2.1739 2022/07/31 05:07:12 - mmengine - INFO - Epoch(train) [5][2240/2505] lr: 1.7000e-04 eta: 1 day, 12:22:44 time: 0.9099 data_time: 0.3918 memory: 22238 grad_norm: 28.8848 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.2178 loss: 2.2178 2022/07/31 05:07:33 - mmengine - INFO - Epoch(train) [5][2260/2505] lr: 1.7000e-04 eta: 1 day, 12:22:30 time: 1.0080 data_time: 0.4338 memory: 22238 grad_norm: 29.5360 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0474 loss: 2.0474 2022/07/31 05:07:52 - mmengine - INFO - Epoch(train) [5][2280/2505] lr: 1.7000e-04 eta: 1 day, 12:22:05 time: 0.9598 data_time: 0.2189 memory: 22238 grad_norm: 29.2552 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 2.3132 loss: 2.3132 2022/07/31 05:08:11 - mmengine - INFO - Epoch(train) [5][2300/2505] lr: 1.7000e-04 eta: 1 day, 12:21:39 time: 0.9586 data_time: 0.2937 memory: 22238 grad_norm: 30.6507 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8461 loss: 1.8461 2022/07/31 05:08:31 - mmengine - INFO - Epoch(train) [5][2320/2505] lr: 1.7000e-04 eta: 1 day, 12:21:21 time: 0.9891 data_time: 0.2492 memory: 22238 grad_norm: 29.4965 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.3470 loss: 2.3470 2022/07/31 05:08:51 - mmengine - INFO - Epoch(train) [5][2340/2505] lr: 1.7000e-04 eta: 1 day, 12:21:05 time: 1.0041 data_time: 0.3492 memory: 22238 grad_norm: 28.5052 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7758 loss: 1.7758 2022/07/31 05:09:10 - mmengine - INFO - Epoch(train) [5][2360/2505] lr: 1.7000e-04 eta: 1 day, 12:20:36 time: 0.9393 data_time: 0.2834 memory: 22238 grad_norm: 28.7206 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8795 loss: 1.8795 2022/07/31 05:09:31 - mmengine - INFO - Epoch(train) [5][2380/2505] lr: 1.7000e-04 eta: 1 day, 12:20:33 time: 1.0621 data_time: 0.3427 memory: 22238 grad_norm: 28.8939 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.2515 loss: 2.2515 2022/07/31 05:09:50 - mmengine - INFO - Epoch(train) [5][2400/2505] lr: 1.7000e-04 eta: 1 day, 12:20:07 time: 0.9562 data_time: 0.3233 memory: 22238 grad_norm: 29.4671 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1103 loss: 2.1103 2022/07/31 05:10:10 - mmengine - INFO - Epoch(train) [5][2420/2505] lr: 1.7000e-04 eta: 1 day, 12:19:53 time: 1.0131 data_time: 0.4403 memory: 22238 grad_norm: 28.5292 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.1284 loss: 2.1284 2022/07/31 05:10:29 - mmengine - INFO - Epoch(train) [5][2440/2505] lr: 1.7000e-04 eta: 1 day, 12:19:26 time: 0.9463 data_time: 0.2793 memory: 22238 grad_norm: 29.9675 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.9234 loss: 1.9234 2022/07/31 05:10:49 - mmengine - INFO - Epoch(train) [5][2460/2505] lr: 1.7000e-04 eta: 1 day, 12:19:12 time: 1.0115 data_time: 0.3404 memory: 22238 grad_norm: 29.5737 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1595 loss: 2.1595 2022/07/31 05:11:09 - mmengine - INFO - Epoch(train) [5][2480/2505] lr: 1.7000e-04 eta: 1 day, 12:18:48 time: 0.9681 data_time: 0.2110 memory: 22238 grad_norm: 28.7773 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.4635 loss: 2.4635 2022/07/31 05:11:26 - mmengine - INFO - Epoch(train) [5][2500/2505] lr: 1.7000e-04 eta: 1 day, 12:18:03 time: 0.8611 data_time: 0.1397 memory: 22238 grad_norm: 28.2563 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7757 loss: 1.7757 2022/07/31 05:11:28 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 05:11:28 - mmengine - INFO - Epoch(train) [5][2505/2505] lr: 1.7000e-04 eta: 1 day, 12:18:03 time: 0.7072 data_time: 0.0552 memory: 22238 grad_norm: 28.7780 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.8390 loss: 1.8390 2022/07/31 05:11:53 - mmengine - INFO - Epoch(train) [6][20/2505] lr: 2.0000e-04 eta: 1 day, 12:17:47 time: 1.2720 data_time: 0.8238 memory: 22238 grad_norm: 27.8040 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.2350 loss: 2.2350 2022/07/31 05:12:12 - mmengine - INFO - Epoch(train) [6][40/2505] lr: 2.0000e-04 eta: 1 day, 12:17:11 time: 0.9090 data_time: 0.3511 memory: 22238 grad_norm: 30.6070 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0243 loss: 2.0243 2022/07/31 05:12:33 - mmengine - INFO - Epoch(train) [6][60/2505] lr: 2.0000e-04 eta: 1 day, 12:17:09 time: 1.0678 data_time: 0.3793 memory: 22238 grad_norm: 30.2884 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0861 loss: 2.0861 2022/07/31 05:12:51 - mmengine - INFO - Epoch(train) [6][80/2505] lr: 2.0000e-04 eta: 1 day, 12:16:35 time: 0.9141 data_time: 0.3313 memory: 22238 grad_norm: 28.5757 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9339 loss: 1.9339 2022/07/31 05:13:12 - mmengine - INFO - Epoch(train) [6][100/2505] lr: 2.0000e-04 eta: 1 day, 12:16:31 time: 1.0616 data_time: 0.5579 memory: 22238 grad_norm: 29.3916 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.4493 loss: 2.4493 2022/07/31 05:13:30 - mmengine - INFO - Epoch(train) [6][120/2505] lr: 2.0000e-04 eta: 1 day, 12:15:52 time: 0.8900 data_time: 0.4292 memory: 22238 grad_norm: 29.4086 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.0930 loss: 2.0930 2022/07/31 05:13:52 - mmengine - INFO - Epoch(train) [6][140/2505] lr: 2.0000e-04 eta: 1 day, 12:15:55 time: 1.0951 data_time: 0.6406 memory: 22238 grad_norm: 29.4041 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0976 loss: 2.0976 2022/07/31 05:14:10 - mmengine - INFO - Epoch(train) [6][160/2505] lr: 2.0000e-04 eta: 1 day, 12:15:12 time: 0.8700 data_time: 0.4216 memory: 22238 grad_norm: 28.1788 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0130 loss: 2.0130 2022/07/31 05:14:31 - mmengine - INFO - Epoch(train) [6][180/2505] lr: 2.0000e-04 eta: 1 day, 12:15:16 time: 1.0994 data_time: 0.6329 memory: 22238 grad_norm: 28.6125 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8741 loss: 1.8741 2022/07/31 05:14:49 - mmengine - INFO - Epoch(train) [6][200/2505] lr: 2.0000e-04 eta: 1 day, 12:14:36 time: 0.8877 data_time: 0.4520 memory: 22238 grad_norm: 29.4436 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.8457 loss: 1.8457 2022/07/31 05:15:12 - mmengine - INFO - Epoch(train) [6][220/2505] lr: 2.0000e-04 eta: 1 day, 12:14:48 time: 1.1374 data_time: 0.5737 memory: 22238 grad_norm: 29.4767 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8893 loss: 1.8893 2022/07/31 05:15:29 - mmengine - INFO - Epoch(train) [6][240/2505] lr: 2.0000e-04 eta: 1 day, 12:14:04 time: 0.8674 data_time: 0.4424 memory: 22238 grad_norm: 29.5426 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1667 loss: 2.1667 2022/07/31 05:15:51 - mmengine - INFO - Epoch(train) [6][260/2505] lr: 2.0000e-04 eta: 1 day, 12:14:08 time: 1.0958 data_time: 0.6916 memory: 22238 grad_norm: 28.6746 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1461 loss: 2.1461 2022/07/31 05:16:09 - mmengine - INFO - Epoch(train) [6][280/2505] lr: 2.0000e-04 eta: 1 day, 12:13:29 time: 0.8916 data_time: 0.4812 memory: 22238 grad_norm: 29.6372 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.0367 loss: 2.0367 2022/07/31 05:16:31 - mmengine - INFO - Epoch(train) [6][300/2505] lr: 2.0000e-04 eta: 1 day, 12:13:31 time: 1.0918 data_time: 0.6873 memory: 22238 grad_norm: 28.8498 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8305 loss: 1.8305 2022/07/31 05:16:49 - mmengine - INFO - Epoch(train) [6][320/2505] lr: 2.0000e-04 eta: 1 day, 12:12:53 time: 0.8947 data_time: 0.4927 memory: 22238 grad_norm: 28.5974 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 2.1159 loss: 2.1159 2022/07/31 05:17:11 - mmengine - INFO - Epoch(train) [6][340/2505] lr: 2.0000e-04 eta: 1 day, 12:13:00 time: 1.1109 data_time: 0.7205 memory: 22238 grad_norm: 27.8900 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8857 loss: 1.8857 2022/07/31 05:17:28 - mmengine - INFO - Epoch(train) [6][360/2505] lr: 2.0000e-04 eta: 1 day, 12:12:12 time: 0.8478 data_time: 0.4546 memory: 22238 grad_norm: 29.4686 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0549 loss: 2.0549 2022/07/31 05:17:50 - mmengine - INFO - Epoch(train) [6][380/2505] lr: 2.0000e-04 eta: 1 day, 12:12:16 time: 1.1002 data_time: 0.6071 memory: 22238 grad_norm: 28.4697 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.0856 loss: 2.0856 2022/07/31 05:18:07 - mmengine - INFO - Epoch(train) [6][400/2505] lr: 2.0000e-04 eta: 1 day, 12:11:30 time: 0.8577 data_time: 0.4380 memory: 22238 grad_norm: 29.4987 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9391 loss: 1.9391 2022/07/31 05:18:29 - mmengine - INFO - Epoch(train) [6][420/2505] lr: 2.0000e-04 eta: 1 day, 12:11:34 time: 1.1002 data_time: 0.6185 memory: 22238 grad_norm: 29.7848 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2743 loss: 2.2743 2022/07/31 05:18:47 - mmengine - INFO - Epoch(train) [6][440/2505] lr: 2.0000e-04 eta: 1 day, 12:10:55 time: 0.8871 data_time: 0.3195 memory: 22238 grad_norm: 29.5181 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.5469 loss: 2.5469 2022/07/31 05:19:09 - mmengine - INFO - Epoch(train) [6][460/2505] lr: 2.0000e-04 eta: 1 day, 12:11:01 time: 1.1147 data_time: 0.3687 memory: 22238 grad_norm: 28.3198 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.1090 loss: 2.1090 2022/07/31 05:19:24 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 05:19:26 - mmengine - INFO - Epoch(train) [6][480/2505] lr: 2.0000e-04 eta: 1 day, 12:10:15 time: 0.8518 data_time: 0.2087 memory: 22238 grad_norm: 28.9763 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0404 loss: 2.0404 2022/07/31 05:19:49 - mmengine - INFO - Epoch(train) [6][500/2505] lr: 2.0000e-04 eta: 1 day, 12:10:24 time: 1.1248 data_time: 0.2193 memory: 22238 grad_norm: 27.8715 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.0070 loss: 2.0070 2022/07/31 05:20:06 - mmengine - INFO - Epoch(train) [6][520/2505] lr: 2.0000e-04 eta: 1 day, 12:09:42 time: 0.8769 data_time: 0.1356 memory: 22238 grad_norm: 29.2368 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1277 loss: 2.1277 2022/07/31 05:20:29 - mmengine - INFO - Epoch(train) [6][540/2505] lr: 2.0000e-04 eta: 1 day, 12:09:51 time: 1.1246 data_time: 0.2066 memory: 22238 grad_norm: 28.9684 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0493 loss: 2.0493 2022/07/31 05:20:46 - mmengine - INFO - Epoch(train) [6][560/2505] lr: 2.0000e-04 eta: 1 day, 12:09:09 time: 0.8773 data_time: 0.0857 memory: 22238 grad_norm: 28.6382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9483 loss: 1.9483 2022/07/31 05:21:09 - mmengine - INFO - Epoch(train) [6][580/2505] lr: 2.0000e-04 eta: 1 day, 12:09:22 time: 1.1468 data_time: 0.0506 memory: 22238 grad_norm: 28.0102 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0131 loss: 2.0131 2022/07/31 05:21:26 - mmengine - INFO - Epoch(train) [6][600/2505] lr: 2.0000e-04 eta: 1 day, 12:08:33 time: 0.8367 data_time: 0.0274 memory: 22238 grad_norm: 28.1464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0561 loss: 2.0561 2022/07/31 05:21:47 - mmengine - INFO - Epoch(train) [6][620/2505] lr: 2.0000e-04 eta: 1 day, 12:08:29 time: 1.0628 data_time: 0.0268 memory: 22238 grad_norm: 28.0295 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.0318 loss: 2.0318 2022/07/31 05:22:05 - mmengine - INFO - Epoch(train) [6][640/2505] lr: 2.0000e-04 eta: 1 day, 12:07:46 time: 0.8706 data_time: 0.0341 memory: 22238 grad_norm: 28.7113 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1013 loss: 2.1013 2022/07/31 05:22:27 - mmengine - INFO - Epoch(train) [6][660/2505] lr: 2.0000e-04 eta: 1 day, 12:07:49 time: 1.0971 data_time: 0.0566 memory: 22238 grad_norm: 28.8827 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0400 loss: 2.0400 2022/07/31 05:22:44 - mmengine - INFO - Epoch(train) [6][680/2505] lr: 2.0000e-04 eta: 1 day, 12:07:03 time: 0.8534 data_time: 0.0521 memory: 22238 grad_norm: 29.6554 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.0448 loss: 2.0448 2022/07/31 05:23:06 - mmengine - INFO - Epoch(train) [6][700/2505] lr: 2.0000e-04 eta: 1 day, 12:07:12 time: 1.1240 data_time: 0.0301 memory: 22238 grad_norm: 30.0379 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0998 loss: 2.0998 2022/07/31 05:23:23 - mmengine - INFO - Epoch(train) [6][720/2505] lr: 2.0000e-04 eta: 1 day, 12:06:27 time: 0.8592 data_time: 0.0321 memory: 22238 grad_norm: 28.6271 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9295 loss: 1.9295 2022/07/31 05:23:46 - mmengine - INFO - Epoch(train) [6][740/2505] lr: 2.0000e-04 eta: 1 day, 12:06:33 time: 1.1124 data_time: 0.0338 memory: 22238 grad_norm: 28.5054 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0457 loss: 2.0457 2022/07/31 05:24:03 - mmengine - INFO - Epoch(train) [6][760/2505] lr: 2.0000e-04 eta: 1 day, 12:05:48 time: 0.8581 data_time: 0.0314 memory: 22238 grad_norm: 27.1269 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.3644 loss: 2.3644 2022/07/31 05:24:25 - mmengine - INFO - Epoch(train) [6][780/2505] lr: 2.0000e-04 eta: 1 day, 12:05:52 time: 1.1041 data_time: 0.0338 memory: 22238 grad_norm: 27.3426 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7709 loss: 1.7709 2022/07/31 05:24:42 - mmengine - INFO - Epoch(train) [6][800/2505] lr: 2.0000e-04 eta: 1 day, 12:05:12 time: 0.8815 data_time: 0.0304 memory: 22238 grad_norm: 28.9263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0673 loss: 2.0673 2022/07/31 05:25:05 - mmengine - INFO - Epoch(train) [6][820/2505] lr: 2.0000e-04 eta: 1 day, 12:05:18 time: 1.1160 data_time: 0.0305 memory: 22238 grad_norm: 27.8859 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 2.4170 loss: 2.4170 2022/07/31 05:25:22 - mmengine - INFO - Epoch(train) [6][840/2505] lr: 2.0000e-04 eta: 1 day, 12:04:37 time: 0.8782 data_time: 0.0308 memory: 22238 grad_norm: 27.8348 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0387 loss: 2.0387 2022/07/31 05:25:45 - mmengine - INFO - Epoch(train) [6][860/2505] lr: 2.0000e-04 eta: 1 day, 12:04:49 time: 1.1425 data_time: 0.0316 memory: 22238 grad_norm: 30.0732 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0436 loss: 2.0436 2022/07/31 05:26:03 - mmengine - INFO - Epoch(train) [6][880/2505] lr: 2.0000e-04 eta: 1 day, 12:04:11 time: 0.8930 data_time: 0.0280 memory: 22238 grad_norm: 28.8884 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7440 loss: 1.7440 2022/07/31 05:26:24 - mmengine - INFO - Epoch(train) [6][900/2505] lr: 2.0000e-04 eta: 1 day, 12:04:06 time: 1.0602 data_time: 0.0303 memory: 22238 grad_norm: 28.1324 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 2.0273 loss: 2.0273 2022/07/31 05:26:42 - mmengine - INFO - Epoch(train) [6][920/2505] lr: 2.0000e-04 eta: 1 day, 12:03:31 time: 0.9062 data_time: 0.0255 memory: 22238 grad_norm: 28.6102 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9971 loss: 1.9971 2022/07/31 05:27:05 - mmengine - INFO - Epoch(train) [6][940/2505] lr: 2.0000e-04 eta: 1 day, 12:03:36 time: 1.1103 data_time: 0.0295 memory: 22238 grad_norm: 29.3610 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8825 loss: 1.8825 2022/07/31 05:27:22 - mmengine - INFO - Epoch(train) [6][960/2505] lr: 2.0000e-04 eta: 1 day, 12:02:53 time: 0.8630 data_time: 0.0268 memory: 22238 grad_norm: 29.6993 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7397 loss: 1.7397 2022/07/31 05:27:43 - mmengine - INFO - Epoch(train) [6][980/2505] lr: 2.0000e-04 eta: 1 day, 12:02:52 time: 1.0803 data_time: 0.0286 memory: 22238 grad_norm: 28.4319 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9751 loss: 1.9751 2022/07/31 05:28:00 - mmengine - INFO - Epoch(train) [6][1000/2505] lr: 2.0000e-04 eta: 1 day, 12:02:05 time: 0.8444 data_time: 0.0280 memory: 22238 grad_norm: 27.8377 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 2.1283 loss: 2.1283 2022/07/31 05:28:22 - mmengine - INFO - Epoch(train) [6][1020/2505] lr: 2.0000e-04 eta: 1 day, 12:02:00 time: 1.0626 data_time: 0.0354 memory: 22238 grad_norm: 28.0390 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 2.1422 loss: 2.1422 2022/07/31 05:28:39 - mmengine - INFO - Epoch(train) [6][1040/2505] lr: 2.0000e-04 eta: 1 day, 12:01:20 time: 0.8795 data_time: 0.0358 memory: 22238 grad_norm: 28.5344 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9880 loss: 1.9880 2022/07/31 05:29:01 - mmengine - INFO - Epoch(train) [6][1060/2505] lr: 2.0000e-04 eta: 1 day, 12:01:25 time: 1.1125 data_time: 0.0327 memory: 22238 grad_norm: 28.2199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0257 loss: 2.0257 2022/07/31 05:29:20 - mmengine - INFO - Epoch(train) [6][1080/2505] lr: 2.0000e-04 eta: 1 day, 12:00:49 time: 0.9021 data_time: 0.0272 memory: 22238 grad_norm: 29.1844 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.8912 loss: 1.8912 2022/07/31 05:29:41 - mmengine - INFO - Epoch(train) [6][1100/2505] lr: 2.0000e-04 eta: 1 day, 12:00:51 time: 1.0952 data_time: 0.0323 memory: 22238 grad_norm: 26.9793 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.2477 loss: 2.2477 2022/07/31 05:29:59 - mmengine - INFO - Epoch(train) [6][1120/2505] lr: 2.0000e-04 eta: 1 day, 12:00:11 time: 0.8766 data_time: 0.0337 memory: 22238 grad_norm: 28.3966 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9918 loss: 1.9918 2022/07/31 05:30:21 - mmengine - INFO - Epoch(train) [6][1140/2505] lr: 2.0000e-04 eta: 1 day, 12:00:16 time: 1.1150 data_time: 0.0293 memory: 22238 grad_norm: 28.2435 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0408 loss: 2.0408 2022/07/31 05:30:38 - mmengine - INFO - Epoch(train) [6][1160/2505] lr: 2.0000e-04 eta: 1 day, 11:59:31 time: 0.8534 data_time: 0.0267 memory: 22238 grad_norm: 28.1920 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9915 loss: 1.9915 2022/07/31 05:31:00 - mmengine - INFO - Epoch(train) [6][1180/2505] lr: 2.0000e-04 eta: 1 day, 11:59:27 time: 1.0650 data_time: 0.0309 memory: 22238 grad_norm: 27.9569 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0680 loss: 2.0680 2022/07/31 05:31:17 - mmengine - INFO - Epoch(train) [6][1200/2505] lr: 2.0000e-04 eta: 1 day, 11:58:43 time: 0.8584 data_time: 0.0264 memory: 22238 grad_norm: 27.7632 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.1434 loss: 2.1434 2022/07/31 05:31:38 - mmengine - INFO - Epoch(train) [6][1220/2505] lr: 2.0000e-04 eta: 1 day, 11:58:37 time: 1.0589 data_time: 0.0282 memory: 22238 grad_norm: 28.3145 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9301 loss: 1.9301 2022/07/31 05:31:55 - mmengine - INFO - Epoch(train) [6][1240/2505] lr: 2.0000e-04 eta: 1 day, 11:57:48 time: 0.8307 data_time: 0.0303 memory: 22238 grad_norm: 28.1771 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9687 loss: 1.9687 2022/07/31 05:32:17 - mmengine - INFO - Epoch(train) [6][1260/2505] lr: 2.0000e-04 eta: 1 day, 11:57:54 time: 1.1180 data_time: 0.0313 memory: 22238 grad_norm: 27.3128 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.1005 loss: 2.1005 2022/07/31 05:32:34 - mmengine - INFO - Epoch(train) [6][1280/2505] lr: 2.0000e-04 eta: 1 day, 11:57:09 time: 0.8510 data_time: 0.0276 memory: 22238 grad_norm: 28.4889 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0339 loss: 2.0339 2022/07/31 05:32:56 - mmengine - INFO - Epoch(train) [6][1300/2505] lr: 2.0000e-04 eta: 1 day, 11:57:16 time: 1.1262 data_time: 0.1088 memory: 22238 grad_norm: 29.0298 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7905 loss: 1.7905 2022/07/31 05:33:14 - mmengine - INFO - Epoch(train) [6][1320/2505] lr: 2.0000e-04 eta: 1 day, 11:56:36 time: 0.8769 data_time: 0.1808 memory: 22238 grad_norm: 29.4774 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1355 loss: 2.1355 2022/07/31 05:33:36 - mmengine - INFO - Epoch(train) [6][1340/2505] lr: 2.0000e-04 eta: 1 day, 11:56:38 time: 1.0982 data_time: 0.2741 memory: 22238 grad_norm: 28.2861 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.0464 loss: 2.0464 2022/07/31 05:33:53 - mmengine - INFO - Epoch(train) [6][1360/2505] lr: 2.0000e-04 eta: 1 day, 11:55:54 time: 0.8580 data_time: 0.1663 memory: 22238 grad_norm: 28.4685 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0626 loss: 2.0626 2022/07/31 05:34:15 - mmengine - INFO - Epoch(train) [6][1380/2505] lr: 2.0000e-04 eta: 1 day, 11:55:54 time: 1.0874 data_time: 0.1583 memory: 22238 grad_norm: 27.5874 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.1029 loss: 2.1029 2022/07/31 05:34:32 - mmengine - INFO - Epoch(train) [6][1400/2505] lr: 2.0000e-04 eta: 1 day, 11:55:12 time: 0.8644 data_time: 0.0482 memory: 22238 grad_norm: 27.6059 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.8878 loss: 1.8878 2022/07/31 05:34:54 - mmengine - INFO - Epoch(train) [6][1420/2505] lr: 2.0000e-04 eta: 1 day, 11:55:13 time: 1.0957 data_time: 0.0289 memory: 22238 grad_norm: 28.9626 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8936 loss: 1.8936 2022/07/31 05:35:13 - mmengine - INFO - Epoch(train) [6][1440/2505] lr: 2.0000e-04 eta: 1 day, 11:54:45 time: 0.9380 data_time: 0.0275 memory: 22238 grad_norm: 28.4077 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 2.1354 loss: 2.1354 2022/07/31 05:35:33 - mmengine - INFO - Epoch(train) [6][1460/2505] lr: 2.0000e-04 eta: 1 day, 11:54:32 time: 1.0233 data_time: 0.0279 memory: 22238 grad_norm: 26.6399 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7716 loss: 1.7716 2022/07/31 05:35:49 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 05:35:53 - mmengine - INFO - Epoch(train) [6][1480/2505] lr: 2.0000e-04 eta: 1 day, 11:54:14 time: 0.9930 data_time: 0.0283 memory: 22238 grad_norm: 29.2155 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.0491 loss: 2.0491 2022/07/31 05:36:12 - mmengine - INFO - Epoch(train) [6][1500/2505] lr: 2.0000e-04 eta: 1 day, 11:53:50 time: 0.9619 data_time: 0.0287 memory: 22238 grad_norm: 28.4192 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.9740 loss: 1.9740 2022/07/31 05:36:33 - mmengine - INFO - Epoch(train) [6][1520/2505] lr: 2.0000e-04 eta: 1 day, 11:53:42 time: 1.0444 data_time: 0.0293 memory: 22238 grad_norm: 29.2728 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.8425 loss: 1.8425 2022/07/31 05:36:52 - mmengine - INFO - Epoch(train) [6][1540/2505] lr: 2.0000e-04 eta: 1 day, 11:53:11 time: 0.9269 data_time: 0.0285 memory: 22238 grad_norm: 28.3552 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.0067 loss: 2.0067 2022/07/31 05:37:13 - mmengine - INFO - Epoch(train) [6][1560/2505] lr: 2.0000e-04 eta: 1 day, 11:53:05 time: 1.0560 data_time: 0.0269 memory: 22238 grad_norm: 27.8741 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9049 loss: 1.9049 2022/07/31 05:37:31 - mmengine - INFO - Epoch(train) [6][1580/2505] lr: 2.0000e-04 eta: 1 day, 11:52:31 time: 0.9062 data_time: 0.0373 memory: 22238 grad_norm: 28.0537 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1609 loss: 2.1609 2022/07/31 05:37:51 - mmengine - INFO - Epoch(train) [6][1600/2505] lr: 2.0000e-04 eta: 1 day, 11:52:11 time: 0.9865 data_time: 0.0263 memory: 22238 grad_norm: 28.0784 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0023 loss: 2.0023 2022/07/31 05:38:11 - mmengine - INFO - Epoch(train) [6][1620/2505] lr: 2.0000e-04 eta: 1 day, 11:51:54 time: 0.9984 data_time: 0.0318 memory: 22238 grad_norm: 28.5727 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9403 loss: 1.9403 2022/07/31 05:38:30 - mmengine - INFO - Epoch(train) [6][1640/2505] lr: 2.0000e-04 eta: 1 day, 11:51:26 time: 0.9375 data_time: 0.0278 memory: 22238 grad_norm: 28.5566 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.1604 loss: 2.1604 2022/07/31 05:38:50 - mmengine - INFO - Epoch(train) [6][1660/2505] lr: 2.0000e-04 eta: 1 day, 11:51:10 time: 1.0039 data_time: 0.0297 memory: 22238 grad_norm: 28.2769 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9671 loss: 1.9671 2022/07/31 05:39:09 - mmengine - INFO - Epoch(train) [6][1680/2505] lr: 2.0000e-04 eta: 1 day, 11:50:50 time: 0.9871 data_time: 0.0299 memory: 22238 grad_norm: 27.8905 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1651 loss: 2.1651 2022/07/31 05:39:29 - mmengine - INFO - Epoch(train) [6][1700/2505] lr: 2.0000e-04 eta: 1 day, 11:50:28 time: 0.9682 data_time: 0.0619 memory: 22238 grad_norm: 28.5977 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8905 loss: 1.8905 2022/07/31 05:39:48 - mmengine - INFO - Epoch(train) [6][1720/2505] lr: 2.0000e-04 eta: 1 day, 11:50:07 time: 0.9797 data_time: 0.0541 memory: 22238 grad_norm: 29.3761 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 2.0175 loss: 2.0175 2022/07/31 05:40:09 - mmengine - INFO - Epoch(train) [6][1740/2505] lr: 2.0000e-04 eta: 1 day, 11:49:58 time: 1.0439 data_time: 0.0475 memory: 22238 grad_norm: 27.0762 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9137 loss: 1.9137 2022/07/31 05:40:28 - mmengine - INFO - Epoch(train) [6][1760/2505] lr: 2.0000e-04 eta: 1 day, 11:49:29 time: 0.9311 data_time: 0.0272 memory: 22238 grad_norm: 27.8136 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.8047 loss: 1.8047 2022/07/31 05:40:49 - mmengine - INFO - Epoch(train) [6][1780/2505] lr: 2.0000e-04 eta: 1 day, 11:49:25 time: 1.0688 data_time: 0.0355 memory: 22238 grad_norm: 28.3821 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0323 loss: 2.0323 2022/07/31 05:41:08 - mmengine - INFO - Epoch(train) [6][1800/2505] lr: 2.0000e-04 eta: 1 day, 11:48:53 time: 0.9168 data_time: 0.0336 memory: 22238 grad_norm: 30.1494 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9663 loss: 1.9663 2022/07/31 05:41:29 - mmengine - INFO - Epoch(train) [6][1820/2505] lr: 2.0000e-04 eta: 1 day, 11:48:52 time: 1.0868 data_time: 0.0387 memory: 22238 grad_norm: 27.3831 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9645 loss: 1.9645 2022/07/31 05:41:47 - mmengine - INFO - Epoch(train) [6][1840/2505] lr: 2.0000e-04 eta: 1 day, 11:48:11 time: 0.8682 data_time: 0.0261 memory: 22238 grad_norm: 28.2842 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7913 loss: 1.7913 2022/07/31 05:42:09 - mmengine - INFO - Epoch(train) [6][1860/2505] lr: 2.0000e-04 eta: 1 day, 11:48:19 time: 1.1386 data_time: 0.0320 memory: 22238 grad_norm: 28.5532 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8007 loss: 1.8007 2022/07/31 05:42:26 - mmengine - INFO - Epoch(train) [6][1880/2505] lr: 2.0000e-04 eta: 1 day, 11:47:35 time: 0.8484 data_time: 0.0276 memory: 22238 grad_norm: 27.9217 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1936 loss: 2.1936 2022/07/31 05:42:48 - mmengine - INFO - Epoch(train) [6][1900/2505] lr: 2.0000e-04 eta: 1 day, 11:47:36 time: 1.0990 data_time: 0.0312 memory: 22238 grad_norm: 28.3685 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.2227 loss: 2.2227 2022/07/31 05:43:06 - mmengine - INFO - Epoch(train) [6][1920/2505] lr: 2.0000e-04 eta: 1 day, 11:46:57 time: 0.8818 data_time: 0.0345 memory: 22238 grad_norm: 26.7578 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.1342 loss: 2.1342 2022/07/31 05:43:27 - mmengine - INFO - Epoch(train) [6][1940/2505] lr: 2.0000e-04 eta: 1 day, 11:46:53 time: 1.0689 data_time: 0.0259 memory: 22238 grad_norm: 27.3532 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.7398 loss: 1.7398 2022/07/31 05:43:45 - mmengine - INFO - Epoch(train) [6][1960/2505] lr: 2.0000e-04 eta: 1 day, 11:46:17 time: 0.8937 data_time: 0.0332 memory: 22238 grad_norm: 27.5587 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0200 loss: 2.0200 2022/07/31 05:44:07 - mmengine - INFO - Epoch(train) [6][1980/2505] lr: 2.0000e-04 eta: 1 day, 11:46:16 time: 1.0913 data_time: 0.0366 memory: 22238 grad_norm: 27.4233 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2003 loss: 2.2003 2022/07/31 05:44:25 - mmengine - INFO - Epoch(train) [6][2000/2505] lr: 2.0000e-04 eta: 1 day, 11:45:40 time: 0.8898 data_time: 0.0273 memory: 22238 grad_norm: 28.7968 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0595 loss: 2.0595 2022/07/31 05:44:47 - mmengine - INFO - Epoch(train) [6][2020/2505] lr: 2.0000e-04 eta: 1 day, 11:45:40 time: 1.0988 data_time: 0.0347 memory: 22238 grad_norm: 29.2320 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9264 loss: 1.9264 2022/07/31 05:45:05 - mmengine - INFO - Epoch(train) [6][2040/2505] lr: 2.0000e-04 eta: 1 day, 11:45:07 time: 0.9088 data_time: 0.0306 memory: 22238 grad_norm: 28.1409 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.0816 loss: 2.0816 2022/07/31 05:45:27 - mmengine - INFO - Epoch(train) [6][2060/2505] lr: 2.0000e-04 eta: 1 day, 11:45:04 time: 1.0786 data_time: 0.0317 memory: 22238 grad_norm: 26.9854 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9665 loss: 1.9665 2022/07/31 05:45:45 - mmengine - INFO - Epoch(train) [6][2080/2505] lr: 2.0000e-04 eta: 1 day, 11:44:28 time: 0.8927 data_time: 0.0274 memory: 22238 grad_norm: 28.3828 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.2308 loss: 2.2308 2022/07/31 05:46:06 - mmengine - INFO - Epoch(train) [6][2100/2505] lr: 2.0000e-04 eta: 1 day, 11:44:26 time: 1.0805 data_time: 0.0330 memory: 22238 grad_norm: 27.9369 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.1036 loss: 2.1036 2022/07/31 05:46:25 - mmengine - INFO - Epoch(train) [6][2120/2505] lr: 2.0000e-04 eta: 1 day, 11:43:54 time: 0.9199 data_time: 0.0308 memory: 22238 grad_norm: 28.6427 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0872 loss: 2.0872 2022/07/31 05:46:45 - mmengine - INFO - Epoch(train) [6][2140/2505] lr: 2.0000e-04 eta: 1 day, 11:43:44 time: 1.0373 data_time: 0.0322 memory: 22238 grad_norm: 27.3752 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9344 loss: 1.9344 2022/07/31 05:47:04 - mmengine - INFO - Epoch(train) [6][2160/2505] lr: 2.0000e-04 eta: 1 day, 11:43:15 time: 0.9334 data_time: 0.0283 memory: 22238 grad_norm: 26.9609 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7452 loss: 1.7452 2022/07/31 05:47:25 - mmengine - INFO - Epoch(train) [6][2180/2505] lr: 2.0000e-04 eta: 1 day, 11:43:10 time: 1.0638 data_time: 0.0340 memory: 22238 grad_norm: 27.8797 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0097 loss: 2.0097 2022/07/31 05:47:44 - mmengine - INFO - Epoch(train) [6][2200/2505] lr: 2.0000e-04 eta: 1 day, 11:42:37 time: 0.9114 data_time: 0.0279 memory: 22238 grad_norm: 29.2386 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9662 loss: 1.9662 2022/07/31 05:48:05 - mmengine - INFO - Epoch(train) [6][2220/2505] lr: 2.0000e-04 eta: 1 day, 11:42:31 time: 1.0632 data_time: 0.0332 memory: 22238 grad_norm: 27.0363 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.2662 loss: 2.2662 2022/07/31 05:48:23 - mmengine - INFO - Epoch(train) [6][2240/2505] lr: 2.0000e-04 eta: 1 day, 11:41:56 time: 0.8994 data_time: 0.0299 memory: 22238 grad_norm: 27.5147 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.2350 loss: 2.2350 2022/07/31 05:48:45 - mmengine - INFO - Epoch(train) [6][2260/2505] lr: 2.0000e-04 eta: 1 day, 11:41:57 time: 1.1011 data_time: 0.0341 memory: 22238 grad_norm: 26.8492 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6010 loss: 1.6010 2022/07/31 05:49:01 - mmengine - INFO - Epoch(train) [6][2280/2505] lr: 2.0000e-04 eta: 1 day, 11:41:11 time: 0.8352 data_time: 0.0311 memory: 22238 grad_norm: 26.4528 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6555 loss: 1.6555 2022/07/31 05:49:24 - mmengine - INFO - Epoch(train) [6][2300/2505] lr: 2.0000e-04 eta: 1 day, 11:41:21 time: 1.1499 data_time: 0.0322 memory: 22238 grad_norm: 27.3019 top1_acc: 0.1667 top5_acc: 0.7500 loss_cls: 1.7865 loss: 1.7865 2022/07/31 05:49:42 - mmengine - INFO - Epoch(train) [6][2320/2505] lr: 2.0000e-04 eta: 1 day, 11:40:42 time: 0.8763 data_time: 0.0293 memory: 22238 grad_norm: 28.0021 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0621 loss: 2.0621 2022/07/31 05:50:03 - mmengine - INFO - Epoch(train) [6][2340/2505] lr: 2.0000e-04 eta: 1 day, 11:40:36 time: 1.0659 data_time: 0.0331 memory: 22238 grad_norm: 27.4673 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9455 loss: 1.9455 2022/07/31 05:50:21 - mmengine - INFO - Epoch(train) [6][2360/2505] lr: 2.0000e-04 eta: 1 day, 11:40:01 time: 0.8929 data_time: 0.0296 memory: 22238 grad_norm: 27.8652 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7831 loss: 1.7831 2022/07/31 05:50:43 - mmengine - INFO - Epoch(train) [6][2380/2505] lr: 2.0000e-04 eta: 1 day, 11:40:00 time: 1.0923 data_time: 0.0300 memory: 22238 grad_norm: 27.6373 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 2.0537 loss: 2.0537 2022/07/31 05:51:00 - mmengine - INFO - Epoch(train) [6][2400/2505] lr: 2.0000e-04 eta: 1 day, 11:39:14 time: 0.8364 data_time: 0.0276 memory: 22238 grad_norm: 28.2634 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9458 loss: 1.9458 2022/07/31 05:51:22 - mmengine - INFO - Epoch(train) [6][2420/2505] lr: 2.0000e-04 eta: 1 day, 11:39:18 time: 1.1210 data_time: 0.0306 memory: 22238 grad_norm: 28.1178 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1330 loss: 2.1330 2022/07/31 05:51:39 - mmengine - INFO - Epoch(train) [6][2440/2505] lr: 2.0000e-04 eta: 1 day, 11:38:36 time: 0.8564 data_time: 0.0271 memory: 22238 grad_norm: 27.6185 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9704 loss: 1.9704 2022/07/31 05:52:01 - mmengine - INFO - Epoch(train) [6][2460/2505] lr: 2.0000e-04 eta: 1 day, 11:38:35 time: 1.0916 data_time: 0.0281 memory: 22238 grad_norm: 26.7022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0222 loss: 2.0222 2022/07/31 05:52:17 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 05:52:19 - mmengine - INFO - Epoch(train) [6][2480/2505] lr: 2.0000e-04 eta: 1 day, 11:37:56 time: 0.8742 data_time: 0.0297 memory: 22238 grad_norm: 27.9828 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9971 loss: 1.9971 2022/07/31 05:52:36 - mmengine - INFO - Epoch(train) [6][2500/2505] lr: 2.0000e-04 eta: 1 day, 11:37:20 time: 0.8899 data_time: 0.0303 memory: 22238 grad_norm: 27.7125 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9353 loss: 1.9353 2022/07/31 05:52:38 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 05:52:38 - mmengine - INFO - Epoch(train) [6][2505/2505] lr: 2.0000e-04 eta: 1 day, 11:37:20 time: 0.6430 data_time: 0.0227 memory: 22238 grad_norm: 29.2373 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.0965 loss: 2.0965 2022/07/31 05:52:38 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/07/31 05:52:43 - mmengine - INFO - Epoch(val) [6][20/2475] eta: 0:04:19 time: 0.1058 data_time: 0.0865 memory: 564 2022/07/31 05:52:45 - mmengine - INFO - Epoch(val) [6][40/2475] eta: 0:02:46 time: 0.0683 data_time: 0.0503 memory: 564 2022/07/31 05:52:46 - mmengine - INFO - Epoch(val) [6][60/2475] eta: 0:03:50 time: 0.0955 data_time: 0.0774 memory: 564 2022/07/31 05:52:48 - mmengine - INFO - Epoch(val) [6][80/2475] eta: 0:02:53 time: 0.0725 data_time: 0.0538 memory: 564 2022/07/31 05:52:50 - mmengine - INFO - Epoch(val) [6][100/2475] eta: 0:03:50 time: 0.0971 data_time: 0.0797 memory: 564 2022/07/31 05:52:51 - mmengine - INFO - Epoch(val) [6][120/2475] eta: 0:02:42 time: 0.0691 data_time: 0.0459 memory: 564 2022/07/31 05:52:53 - mmengine - INFO - Epoch(val) [6][140/2475] eta: 0:03:21 time: 0.0864 data_time: 0.0688 memory: 564 2022/07/31 05:52:55 - mmengine - INFO - Epoch(val) [6][160/2475] eta: 0:02:56 time: 0.0764 data_time: 0.0575 memory: 564 2022/07/31 05:52:56 - mmengine - INFO - Epoch(val) [6][180/2475] eta: 0:03:36 time: 0.0943 data_time: 0.0744 memory: 564 2022/07/31 05:52:58 - mmengine - INFO - Epoch(val) [6][200/2475] eta: 0:02:24 time: 0.0637 data_time: 0.0445 memory: 564 2022/07/31 05:52:59 - mmengine - INFO - Epoch(val) [6][220/2475] eta: 0:03:22 time: 0.0898 data_time: 0.0723 memory: 564 2022/07/31 05:53:01 - mmengine - INFO - Epoch(val) [6][240/2475] eta: 0:02:33 time: 0.0685 data_time: 0.0507 memory: 564 2022/07/31 05:53:03 - mmengine - INFO - Epoch(val) [6][260/2475] eta: 0:03:25 time: 0.0928 data_time: 0.0743 memory: 564 2022/07/31 05:53:04 - mmengine - INFO - Epoch(val) [6][280/2475] eta: 0:02:34 time: 0.0702 data_time: 0.0504 memory: 564 2022/07/31 05:53:06 - mmengine - INFO - Epoch(val) [6][300/2475] eta: 0:03:04 time: 0.0849 data_time: 0.0652 memory: 564 2022/07/31 05:53:07 - mmengine - INFO - Epoch(val) [6][320/2475] eta: 0:02:51 time: 0.0798 data_time: 0.0610 memory: 564 2022/07/31 05:53:09 - mmengine - INFO - Epoch(val) [6][340/2475] eta: 0:02:45 time: 0.0773 data_time: 0.0575 memory: 564 2022/07/31 05:53:11 - mmengine - INFO - Epoch(val) [6][360/2475] eta: 0:02:55 time: 0.0828 data_time: 0.0640 memory: 564 2022/07/31 05:53:12 - mmengine - INFO - Epoch(val) [6][380/2475] eta: 0:02:32 time: 0.0730 data_time: 0.0538 memory: 564 2022/07/31 05:53:14 - mmengine - INFO - Epoch(val) [6][400/2475] eta: 0:02:55 time: 0.0844 data_time: 0.0660 memory: 564 2022/07/31 05:53:15 - mmengine - INFO - Epoch(val) [6][420/2475] eta: 0:02:27 time: 0.0717 data_time: 0.0504 memory: 564 2022/07/31 05:53:17 - mmengine - INFO - Epoch(val) [6][440/2475] eta: 0:02:55 time: 0.0860 data_time: 0.0652 memory: 564 2022/07/31 05:53:18 - mmengine - INFO - Epoch(val) [6][460/2475] eta: 0:02:17 time: 0.0684 data_time: 0.0477 memory: 564 2022/07/31 05:53:20 - mmengine - INFO - Epoch(val) [6][480/2475] eta: 0:02:58 time: 0.0896 data_time: 0.0709 memory: 564 2022/07/31 05:53:22 - mmengine - INFO - Epoch(val) [6][500/2475] eta: 0:02:23 time: 0.0725 data_time: 0.0545 memory: 564 2022/07/31 05:53:23 - mmengine - INFO - Epoch(val) [6][520/2475] eta: 0:03:07 time: 0.0957 data_time: 0.0775 memory: 564 2022/07/31 05:53:25 - mmengine - INFO - Epoch(val) [6][540/2475] eta: 0:02:25 time: 0.0753 data_time: 0.0530 memory: 564 2022/07/31 05:53:27 - mmengine - INFO - Epoch(val) [6][560/2475] eta: 0:02:48 time: 0.0880 data_time: 0.0700 memory: 564 2022/07/31 05:53:28 - mmengine - INFO - Epoch(val) [6][580/2475] eta: 0:02:29 time: 0.0789 data_time: 0.0588 memory: 564 2022/07/31 05:53:30 - mmengine - INFO - Epoch(val) [6][600/2475] eta: 0:03:00 time: 0.0964 data_time: 0.0767 memory: 564 2022/07/31 05:53:32 - mmengine - INFO - Epoch(val) [6][620/2475] eta: 0:02:08 time: 0.0692 data_time: 0.0498 memory: 564 2022/07/31 05:53:34 - mmengine - INFO - Epoch(val) [6][640/2475] eta: 0:02:54 time: 0.0950 data_time: 0.0761 memory: 564 2022/07/31 05:53:35 - mmengine - INFO - Epoch(val) [6][660/2475] eta: 0:01:59 time: 0.0660 data_time: 0.0485 memory: 564 2022/07/31 05:53:37 - mmengine - INFO - Epoch(val) [6][680/2475] eta: 0:02:48 time: 0.0936 data_time: 0.0751 memory: 564 2022/07/31 05:53:38 - mmengine - INFO - Epoch(val) [6][700/2475] eta: 0:02:03 time: 0.0694 data_time: 0.0500 memory: 564 2022/07/31 05:53:40 - mmengine - INFO - Epoch(val) [6][720/2475] eta: 0:02:29 time: 0.0850 data_time: 0.0661 memory: 564 2022/07/31 05:53:41 - mmengine - INFO - Epoch(val) [6][740/2475] eta: 0:02:22 time: 0.0821 data_time: 0.0599 memory: 564 2022/07/31 05:53:43 - mmengine - INFO - Epoch(val) [6][760/2475] eta: 0:02:46 time: 0.0970 data_time: 0.0765 memory: 564 2022/07/31 05:53:45 - mmengine - INFO - Epoch(val) [6][780/2475] eta: 0:01:53 time: 0.0672 data_time: 0.0470 memory: 564 2022/07/31 05:53:47 - mmengine - INFO - Epoch(val) [6][800/2475] eta: 0:02:31 time: 0.0907 data_time: 0.0723 memory: 564 2022/07/31 05:53:48 - mmengine - INFO - Epoch(val) [6][820/2475] eta: 0:01:44 time: 0.0631 data_time: 0.0447 memory: 564 2022/07/31 05:53:50 - mmengine - INFO - Epoch(val) [6][840/2475] eta: 0:02:26 time: 0.0893 data_time: 0.0702 memory: 564 2022/07/31 05:53:51 - mmengine - INFO - Epoch(val) [6][860/2475] eta: 0:01:52 time: 0.0699 data_time: 0.0503 memory: 564 2022/07/31 05:53:53 - mmengine - INFO - Epoch(val) [6][880/2475] eta: 0:02:19 time: 0.0877 data_time: 0.0678 memory: 564 2022/07/31 05:53:54 - mmengine - INFO - Epoch(val) [6][900/2475] eta: 0:02:06 time: 0.0802 data_time: 0.0606 memory: 564 2022/07/31 05:53:56 - mmengine - INFO - Epoch(val) [6][920/2475] eta: 0:02:14 time: 0.0867 data_time: 0.0667 memory: 564 2022/07/31 05:53:58 - mmengine - INFO - Epoch(val) [6][940/2475] eta: 0:01:58 time: 0.0771 data_time: 0.0566 memory: 564 2022/07/31 05:53:59 - mmengine - INFO - Epoch(val) [6][960/2475] eta: 0:02:10 time: 0.0859 data_time: 0.0679 memory: 564 2022/07/31 05:54:01 - mmengine - INFO - Epoch(val) [6][980/2475] eta: 0:01:54 time: 0.0764 data_time: 0.0578 memory: 564 2022/07/31 05:54:03 - mmengine - INFO - Epoch(val) [6][1000/2475] eta: 0:02:11 time: 0.0893 data_time: 0.0681 memory: 564 2022/07/31 05:54:04 - mmengine - INFO - Epoch(val) [6][1020/2475] eta: 0:01:52 time: 0.0774 data_time: 0.0583 memory: 564 2022/07/31 05:54:06 - mmengine - INFO - Epoch(val) [6][1040/2475] eta: 0:01:59 time: 0.0831 data_time: 0.0630 memory: 564 2022/07/31 05:54:07 - mmengine - INFO - Epoch(val) [6][1060/2475] eta: 0:01:49 time: 0.0772 data_time: 0.0563 memory: 564 2022/07/31 05:54:09 - mmengine - INFO - Epoch(val) [6][1080/2475] eta: 0:01:49 time: 0.0785 data_time: 0.0567 memory: 564 2022/07/31 05:54:11 - mmengine - INFO - Epoch(val) [6][1100/2475] eta: 0:01:51 time: 0.0814 data_time: 0.0612 memory: 564 2022/07/31 05:54:12 - mmengine - INFO - Epoch(val) [6][1120/2475] eta: 0:02:01 time: 0.0897 data_time: 0.0572 memory: 564 2022/07/31 05:54:14 - mmengine - INFO - Epoch(val) [6][1140/2475] eta: 0:01:46 time: 0.0795 data_time: 0.0589 memory: 564 2022/07/31 05:54:16 - mmengine - INFO - Epoch(val) [6][1160/2475] eta: 0:01:53 time: 0.0863 data_time: 0.0666 memory: 564 2022/07/31 05:54:17 - mmengine - INFO - Epoch(val) [6][1180/2475] eta: 0:01:45 time: 0.0815 data_time: 0.0619 memory: 564 2022/07/31 05:54:19 - mmengine - INFO - Epoch(val) [6][1200/2475] eta: 0:01:36 time: 0.0757 data_time: 0.0547 memory: 564 2022/07/31 05:54:20 - mmengine - INFO - Epoch(val) [6][1220/2475] eta: 0:01:33 time: 0.0744 data_time: 0.0556 memory: 564 2022/07/31 05:54:22 - mmengine - INFO - Epoch(val) [6][1240/2475] eta: 0:01:41 time: 0.0819 data_time: 0.0632 memory: 564 2022/07/31 05:54:24 - mmengine - INFO - Epoch(val) [6][1260/2475] eta: 0:01:37 time: 0.0802 data_time: 0.0594 memory: 564 2022/07/31 05:54:26 - mmengine - INFO - Epoch(val) [6][1280/2475] eta: 0:01:51 time: 0.0934 data_time: 0.0725 memory: 564 2022/07/31 05:54:27 - mmengine - INFO - Epoch(val) [6][1300/2475] eta: 0:01:36 time: 0.0824 data_time: 0.0615 memory: 564 2022/07/31 05:54:29 - mmengine - INFO - Epoch(val) [6][1320/2475] eta: 0:01:33 time: 0.0809 data_time: 0.0594 memory: 564 2022/07/31 05:54:31 - mmengine - INFO - Epoch(val) [6][1340/2475] eta: 0:01:39 time: 0.0877 data_time: 0.0663 memory: 564 2022/07/31 05:54:32 - mmengine - INFO - Epoch(val) [6][1360/2475] eta: 0:01:24 time: 0.0754 data_time: 0.0492 memory: 564 2022/07/31 05:54:34 - mmengine - INFO - Epoch(val) [6][1380/2475] eta: 0:01:34 time: 0.0863 data_time: 0.0666 memory: 564 2022/07/31 05:54:35 - mmengine - INFO - Epoch(val) [6][1400/2475] eta: 0:01:18 time: 0.0728 data_time: 0.0535 memory: 564 2022/07/31 05:54:37 - mmengine - INFO - Epoch(val) [6][1420/2475] eta: 0:01:28 time: 0.0835 data_time: 0.0646 memory: 564 2022/07/31 05:54:39 - mmengine - INFO - Epoch(val) [6][1440/2475] eta: 0:01:27 time: 0.0843 data_time: 0.0649 memory: 564 2022/07/31 05:54:40 - mmengine - INFO - Epoch(val) [6][1460/2475] eta: 0:01:15 time: 0.0746 data_time: 0.0545 memory: 564 2022/07/31 05:54:42 - mmengine - INFO - Epoch(val) [6][1480/2475] eta: 0:01:26 time: 0.0872 data_time: 0.0656 memory: 564 2022/07/31 05:54:44 - mmengine - INFO - Epoch(val) [6][1500/2475] eta: 0:01:30 time: 0.0932 data_time: 0.0729 memory: 564 2022/07/31 05:54:45 - mmengine - INFO - Epoch(val) [6][1520/2475] eta: 0:01:07 time: 0.0709 data_time: 0.0524 memory: 564 2022/07/31 05:54:47 - mmengine - INFO - Epoch(val) [6][1540/2475] eta: 0:01:19 time: 0.0856 data_time: 0.0665 memory: 564 2022/07/31 05:54:48 - mmengine - INFO - Epoch(val) [6][1560/2475] eta: 0:01:16 time: 0.0833 data_time: 0.0619 memory: 564 2022/07/31 05:54:50 - mmengine - INFO - Epoch(val) [6][1580/2475] eta: 0:01:08 time: 0.0769 data_time: 0.0592 memory: 564 2022/07/31 05:54:52 - mmengine - INFO - Epoch(val) [6][1600/2475] eta: 0:01:17 time: 0.0887 data_time: 0.0654 memory: 564 2022/07/31 05:54:53 - mmengine - INFO - Epoch(val) [6][1620/2475] eta: 0:01:04 time: 0.0754 data_time: 0.0557 memory: 564 2022/07/31 05:54:55 - mmengine - INFO - Epoch(val) [6][1640/2475] eta: 0:01:04 time: 0.0770 data_time: 0.0595 memory: 564 2022/07/31 05:54:57 - mmengine - INFO - Epoch(val) [6][1660/2475] eta: 0:01:20 time: 0.0989 data_time: 0.0811 memory: 564 2022/07/31 05:54:58 - mmengine - INFO - Epoch(val) [6][1680/2475] eta: 0:00:58 time: 0.0740 data_time: 0.0549 memory: 564 2022/07/31 05:55:00 - mmengine - INFO - Epoch(val) [6][1700/2475] eta: 0:01:07 time: 0.0869 data_time: 0.0680 memory: 564 2022/07/31 05:55:01 - mmengine - INFO - Epoch(val) [6][1720/2475] eta: 0:00:52 time: 0.0691 data_time: 0.0500 memory: 564 2022/07/31 05:55:04 - mmengine - INFO - Epoch(val) [6][1740/2475] eta: 0:01:27 time: 0.1186 data_time: 0.1015 memory: 564 2022/07/31 05:55:05 - mmengine - INFO - Epoch(val) [6][1760/2475] eta: 0:00:49 time: 0.0687 data_time: 0.0504 memory: 564 2022/07/31 05:55:07 - mmengine - INFO - Epoch(val) [6][1780/2475] eta: 0:01:04 time: 0.0929 data_time: 0.0748 memory: 564 2022/07/31 05:55:09 - mmengine - INFO - Epoch(val) [6][1800/2475] eta: 0:00:53 time: 0.0799 data_time: 0.0611 memory: 564 2022/07/31 05:55:10 - mmengine - INFO - Epoch(val) [6][1820/2475] eta: 0:00:58 time: 0.0891 data_time: 0.0698 memory: 564 2022/07/31 05:55:12 - mmengine - INFO - Epoch(val) [6][1840/2475] eta: 0:00:51 time: 0.0815 data_time: 0.0629 memory: 564 2022/07/31 05:55:14 - mmengine - INFO - Epoch(val) [6][1860/2475] eta: 0:00:46 time: 0.0763 data_time: 0.0562 memory: 564 2022/07/31 05:55:15 - mmengine - INFO - Epoch(val) [6][1880/2475] eta: 0:00:49 time: 0.0837 data_time: 0.0638 memory: 564 2022/07/31 05:55:17 - mmengine - INFO - Epoch(val) [6][1900/2475] eta: 0:00:45 time: 0.0788 data_time: 0.0607 memory: 564 2022/07/31 05:55:18 - mmengine - INFO - Epoch(val) [6][1920/2475] eta: 0:00:44 time: 0.0803 data_time: 0.0618 memory: 564 2022/07/31 05:55:20 - mmengine - INFO - Epoch(val) [6][1940/2475] eta: 0:00:39 time: 0.0737 data_time: 0.0552 memory: 564 2022/07/31 05:55:22 - mmengine - INFO - Epoch(val) [6][1960/2475] eta: 0:00:53 time: 0.1038 data_time: 0.0854 memory: 564 2022/07/31 05:55:23 - mmengine - INFO - Epoch(val) [6][1980/2475] eta: 0:00:34 time: 0.0687 data_time: 0.0522 memory: 564 2022/07/31 05:55:25 - mmengine - INFO - Epoch(val) [6][2000/2475] eta: 0:00:37 time: 0.0798 data_time: 0.0611 memory: 564 2022/07/31 05:55:26 - mmengine - INFO - Epoch(val) [6][2020/2475] eta: 0:00:28 time: 0.0623 data_time: 0.0440 memory: 564 2022/07/31 05:55:28 - mmengine - INFO - Epoch(val) [6][2040/2475] eta: 0:00:38 time: 0.0874 data_time: 0.0679 memory: 564 2022/07/31 05:55:29 - mmengine - INFO - Epoch(val) [6][2060/2475] eta: 0:00:29 time: 0.0718 data_time: 0.0539 memory: 564 2022/07/31 05:55:31 - mmengine - INFO - Epoch(val) [6][2080/2475] eta: 0:00:33 time: 0.0846 data_time: 0.0659 memory: 564 2022/07/31 05:55:33 - mmengine - INFO - Epoch(val) [6][2100/2475] eta: 0:00:30 time: 0.0809 data_time: 0.0629 memory: 564 2022/07/31 05:55:35 - mmengine - INFO - Epoch(val) [6][2120/2475] eta: 0:00:32 time: 0.0914 data_time: 0.0697 memory: 564 2022/07/31 05:55:36 - mmengine - INFO - Epoch(val) [6][2140/2475] eta: 0:00:20 time: 0.0625 data_time: 0.0422 memory: 564 2022/07/31 05:55:38 - mmengine - INFO - Epoch(val) [6][2160/2475] eta: 0:00:28 time: 0.0912 data_time: 0.0746 memory: 564 2022/07/31 05:55:39 - mmengine - INFO - Epoch(val) [6][2180/2475] eta: 0:00:18 time: 0.0642 data_time: 0.0466 memory: 564 2022/07/31 05:55:41 - mmengine - INFO - Epoch(val) [6][2200/2475] eta: 0:00:25 time: 0.0918 data_time: 0.0718 memory: 564 2022/07/31 05:55:42 - mmengine - INFO - Epoch(val) [6][2220/2475] eta: 0:00:19 time: 0.0774 data_time: 0.0580 memory: 564 2022/07/31 05:55:44 - mmengine - INFO - Epoch(val) [6][2240/2475] eta: 0:00:19 time: 0.0822 data_time: 0.0617 memory: 564 2022/07/31 05:55:46 - mmengine - INFO - Epoch(val) [6][2260/2475] eta: 0:00:17 time: 0.0804 data_time: 0.0583 memory: 564 2022/07/31 05:55:47 - mmengine - INFO - Epoch(val) [6][2280/2475] eta: 0:00:16 time: 0.0867 data_time: 0.0685 memory: 564 2022/07/31 05:55:49 - mmengine - INFO - Epoch(val) [6][2300/2475] eta: 0:00:12 time: 0.0721 data_time: 0.0539 memory: 564 2022/07/31 05:55:51 - mmengine - INFO - Epoch(val) [6][2320/2475] eta: 0:00:14 time: 0.0931 data_time: 0.0746 memory: 564 2022/07/31 05:55:52 - mmengine - INFO - Epoch(val) [6][2340/2475] eta: 0:00:09 time: 0.0672 data_time: 0.0495 memory: 564 2022/07/31 05:55:54 - mmengine - INFO - Epoch(val) [6][2360/2475] eta: 0:00:10 time: 0.0923 data_time: 0.0754 memory: 564 2022/07/31 05:55:56 - mmengine - INFO - Epoch(val) [6][2380/2475] eta: 0:00:08 time: 0.0875 data_time: 0.0677 memory: 564 2022/07/31 05:55:57 - mmengine - INFO - Epoch(val) [6][2400/2475] eta: 0:00:06 time: 0.0900 data_time: 0.0687 memory: 564 2022/07/31 05:55:59 - mmengine - INFO - Epoch(val) [6][2420/2475] eta: 0:00:03 time: 0.0643 data_time: 0.0446 memory: 564 2022/07/31 05:56:00 - mmengine - INFO - Epoch(val) [6][2440/2475] eta: 0:00:02 time: 0.0725 data_time: 0.0536 memory: 564 2022/07/31 05:56:01 - mmengine - INFO - Epoch(val) [6][2460/2475] eta: 0:00:00 time: 0.0349 data_time: 0.0169 memory: 564 2022/07/31 05:56:02 - mmengine - INFO - Epoch(val) [6][2475/2475] acc/top1: 0.6299 acc/top5: 0.8498 acc/mean1: 0.6298 2022/07/31 05:56:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_4.pth is removed 2022/07/31 05:56:05 - mmengine - INFO - The best checkpoint with 0.6299 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/07/31 05:56:31 - mmengine - INFO - Epoch(train) [7][20/2505] lr: 2.3000e-04 eta: 1 day, 11:37:00 time: 1.2581 data_time: 0.8462 memory: 22238 grad_norm: 28.7212 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1392 loss: 2.1392 2022/07/31 05:56:48 - mmengine - INFO - Epoch(train) [7][40/2505] lr: 2.3000e-04 eta: 1 day, 11:36:22 time: 0.8753 data_time: 0.4841 memory: 22238 grad_norm: 28.0826 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8162 loss: 1.8162 2022/07/31 05:57:10 - mmengine - INFO - Epoch(train) [7][60/2505] lr: 2.3000e-04 eta: 1 day, 11:36:20 time: 1.0869 data_time: 0.6776 memory: 22238 grad_norm: 27.4146 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9715 loss: 1.9715 2022/07/31 05:57:28 - mmengine - INFO - Epoch(train) [7][80/2505] lr: 2.3000e-04 eta: 1 day, 11:35:44 time: 0.8939 data_time: 0.4909 memory: 22238 grad_norm: 27.4567 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1247 loss: 2.1247 2022/07/31 05:57:50 - mmengine - INFO - Epoch(train) [7][100/2505] lr: 2.3000e-04 eta: 1 day, 11:35:44 time: 1.0971 data_time: 0.6938 memory: 22238 grad_norm: 27.9964 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7678 loss: 1.7678 2022/07/31 05:58:07 - mmengine - INFO - Epoch(train) [7][120/2505] lr: 2.3000e-04 eta: 1 day, 11:35:01 time: 0.8483 data_time: 0.4520 memory: 22238 grad_norm: 28.2225 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8044 loss: 1.8044 2022/07/31 05:58:29 - mmengine - INFO - Epoch(train) [7][140/2505] lr: 2.3000e-04 eta: 1 day, 11:35:05 time: 1.1221 data_time: 0.7268 memory: 22238 grad_norm: 27.2031 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9526 loss: 1.9526 2022/07/31 05:58:46 - mmengine - INFO - Epoch(train) [7][160/2505] lr: 2.3000e-04 eta: 1 day, 11:34:25 time: 0.8650 data_time: 0.4814 memory: 22238 grad_norm: 26.6559 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9882 loss: 1.9882 2022/07/31 05:59:09 - mmengine - INFO - Epoch(train) [7][180/2505] lr: 2.3000e-04 eta: 1 day, 11:34:30 time: 1.1312 data_time: 0.7298 memory: 22238 grad_norm: 27.8323 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8557 loss: 1.8557 2022/07/31 05:59:27 - mmengine - INFO - Epoch(train) [7][200/2505] lr: 2.3000e-04 eta: 1 day, 11:33:57 time: 0.9030 data_time: 0.4965 memory: 22238 grad_norm: 27.9535 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.3166 loss: 2.3166 2022/07/31 05:59:48 - mmengine - INFO - Epoch(train) [7][220/2505] lr: 2.3000e-04 eta: 1 day, 11:33:48 time: 1.0468 data_time: 0.6498 memory: 22238 grad_norm: 27.3537 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.8520 loss: 1.8520 2022/07/31 06:00:08 - mmengine - INFO - Epoch(train) [7][240/2505] lr: 2.3000e-04 eta: 1 day, 11:33:32 time: 1.0095 data_time: 0.5340 memory: 22238 grad_norm: 27.6798 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8610 loss: 1.8610 2022/07/31 06:00:28 - mmengine - INFO - Epoch(train) [7][260/2505] lr: 2.3000e-04 eta: 1 day, 11:33:13 time: 0.9876 data_time: 0.5956 memory: 22238 grad_norm: 27.8213 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0326 loss: 2.0326 2022/07/31 06:00:46 - mmengine - INFO - Epoch(train) [7][280/2505] lr: 2.3000e-04 eta: 1 day, 11:32:42 time: 0.9199 data_time: 0.4979 memory: 22238 grad_norm: 28.0176 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.2099 loss: 2.2099 2022/07/31 06:01:08 - mmengine - INFO - Epoch(train) [7][300/2505] lr: 2.3000e-04 eta: 1 day, 11:32:37 time: 1.0694 data_time: 0.6760 memory: 22238 grad_norm: 27.5678 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.2152 loss: 2.2152 2022/07/31 06:01:26 - mmengine - INFO - Epoch(train) [7][320/2505] lr: 2.3000e-04 eta: 1 day, 11:32:03 time: 0.9022 data_time: 0.4940 memory: 22238 grad_norm: 27.6508 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1177 loss: 2.1177 2022/07/31 06:01:47 - mmengine - INFO - Epoch(train) [7][340/2505] lr: 2.3000e-04 eta: 1 day, 11:31:59 time: 1.0772 data_time: 0.6899 memory: 22238 grad_norm: 27.3182 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9348 loss: 1.9348 2022/07/31 06:02:05 - mmengine - INFO - Epoch(train) [7][360/2505] lr: 2.3000e-04 eta: 1 day, 11:31:24 time: 0.8910 data_time: 0.4968 memory: 22238 grad_norm: 27.8132 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9148 loss: 1.9148 2022/07/31 06:02:26 - mmengine - INFO - Epoch(train) [7][380/2505] lr: 2.3000e-04 eta: 1 day, 11:31:16 time: 1.0558 data_time: 0.6636 memory: 22238 grad_norm: 28.3542 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1344 loss: 2.1344 2022/07/31 06:02:44 - mmengine - INFO - Epoch(train) [7][400/2505] lr: 2.3000e-04 eta: 1 day, 11:30:39 time: 0.8781 data_time: 0.4611 memory: 22238 grad_norm: 27.9157 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0272 loss: 2.0272 2022/07/31 06:03:06 - mmengine - INFO - Epoch(train) [7][420/2505] lr: 2.3000e-04 eta: 1 day, 11:30:38 time: 1.0989 data_time: 0.7008 memory: 22238 grad_norm: 27.3049 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9814 loss: 1.9814 2022/07/31 06:03:24 - mmengine - INFO - Epoch(train) [7][440/2505] lr: 2.3000e-04 eta: 1 day, 11:30:03 time: 0.8921 data_time: 0.4852 memory: 22238 grad_norm: 27.8430 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0800 loss: 2.0800 2022/07/31 06:03:47 - mmengine - INFO - Epoch(train) [7][460/2505] lr: 2.3000e-04 eta: 1 day, 11:30:14 time: 1.1684 data_time: 0.7695 memory: 22238 grad_norm: 28.4535 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9978 loss: 1.9978 2022/07/31 06:04:05 - mmengine - INFO - Epoch(train) [7][480/2505] lr: 2.3000e-04 eta: 1 day, 11:29:35 time: 0.8697 data_time: 0.4574 memory: 22238 grad_norm: 28.3734 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.1744 loss: 2.1744 2022/07/31 06:04:26 - mmengine - INFO - Epoch(train) [7][500/2505] lr: 2.3000e-04 eta: 1 day, 11:29:34 time: 1.0964 data_time: 0.6940 memory: 22238 grad_norm: 27.4076 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.9783 loss: 1.9783 2022/07/31 06:04:44 - mmengine - INFO - Epoch(train) [7][520/2505] lr: 2.3000e-04 eta: 1 day, 11:28:55 time: 0.8673 data_time: 0.4557 memory: 22238 grad_norm: 28.6894 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8811 loss: 1.8811 2022/07/31 06:05:05 - mmengine - INFO - Epoch(train) [7][540/2505] lr: 2.3000e-04 eta: 1 day, 11:28:52 time: 1.0868 data_time: 0.6850 memory: 22238 grad_norm: 28.2780 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1400 loss: 2.1400 2022/07/31 06:05:22 - mmengine - INFO - Epoch(train) [7][560/2505] lr: 2.3000e-04 eta: 1 day, 11:28:08 time: 0.8357 data_time: 0.4468 memory: 22238 grad_norm: 27.5369 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.0665 loss: 2.0665 2022/07/31 06:05:45 - mmengine - INFO - Epoch(train) [7][580/2505] lr: 2.3000e-04 eta: 1 day, 11:28:10 time: 1.1188 data_time: 0.7114 memory: 22238 grad_norm: 27.4736 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8309 loss: 1.8309 2022/07/31 06:06:03 - mmengine - INFO - Epoch(train) [7][600/2505] lr: 2.3000e-04 eta: 1 day, 11:27:37 time: 0.9018 data_time: 0.5013 memory: 22238 grad_norm: 27.7261 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8113 loss: 1.8113 2022/07/31 06:06:25 - mmengine - INFO - Epoch(train) [7][620/2505] lr: 2.3000e-04 eta: 1 day, 11:27:39 time: 1.1183 data_time: 0.7028 memory: 22238 grad_norm: 26.2945 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.1440 loss: 2.1440 2022/07/31 06:06:42 - mmengine - INFO - Epoch(train) [7][640/2505] lr: 2.3000e-04 eta: 1 day, 11:26:54 time: 0.8319 data_time: 0.4367 memory: 22238 grad_norm: 27.1727 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8994 loss: 1.8994 2022/07/31 06:07:03 - mmengine - INFO - Epoch(train) [7][660/2505] lr: 2.3000e-04 eta: 1 day, 11:26:46 time: 1.0561 data_time: 0.6350 memory: 22238 grad_norm: 28.3658 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.2299 loss: 2.2299 2022/07/31 06:07:21 - mmengine - INFO - Epoch(train) [7][680/2505] lr: 2.3000e-04 eta: 1 day, 11:26:11 time: 0.8910 data_time: 0.5019 memory: 22238 grad_norm: 26.2674 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9999 loss: 1.9999 2022/07/31 06:07:43 - mmengine - INFO - Epoch(train) [7][700/2505] lr: 2.3000e-04 eta: 1 day, 11:26:15 time: 1.1249 data_time: 0.6987 memory: 22238 grad_norm: 27.8229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9657 loss: 1.9657 2022/07/31 06:08:01 - mmengine - INFO - Epoch(train) [7][720/2505] lr: 2.3000e-04 eta: 1 day, 11:25:38 time: 0.8784 data_time: 0.4783 memory: 22238 grad_norm: 26.7792 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9769 loss: 1.9769 2022/07/31 06:08:22 - mmengine - INFO - Epoch(train) [7][740/2505] lr: 2.3000e-04 eta: 1 day, 11:25:28 time: 1.0469 data_time: 0.6349 memory: 22238 grad_norm: 27.2811 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.2043 loss: 2.2043 2022/07/31 06:08:40 - mmengine - INFO - Epoch(train) [7][760/2505] lr: 2.3000e-04 eta: 1 day, 11:24:56 time: 0.9092 data_time: 0.4949 memory: 22238 grad_norm: 27.6810 top1_acc: 0.1667 top5_acc: 0.6667 loss_cls: 1.9627 loss: 1.9627 2022/07/31 06:09:02 - mmengine - INFO - Epoch(train) [7][780/2505] lr: 2.3000e-04 eta: 1 day, 11:24:59 time: 1.1199 data_time: 0.7169 memory: 22238 grad_norm: 27.9057 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2176 loss: 2.2176 2022/07/31 06:09:19 - mmengine - INFO - Epoch(train) [7][800/2505] lr: 2.3000e-04 eta: 1 day, 11:24:13 time: 0.8246 data_time: 0.4095 memory: 22238 grad_norm: 26.7489 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9155 loss: 1.9155 2022/07/31 06:09:41 - mmengine - INFO - Epoch(train) [7][820/2505] lr: 2.3000e-04 eta: 1 day, 11:24:12 time: 1.1009 data_time: 0.6957 memory: 22238 grad_norm: 28.1038 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8913 loss: 1.8913 2022/07/31 06:09:59 - mmengine - INFO - Epoch(train) [7][840/2505] lr: 2.3000e-04 eta: 1 day, 11:23:42 time: 0.9235 data_time: 0.5045 memory: 22238 grad_norm: 26.9008 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9969 loss: 1.9969 2022/07/31 06:10:21 - mmengine - INFO - Epoch(train) [7][860/2505] lr: 2.3000e-04 eta: 1 day, 11:23:40 time: 1.0914 data_time: 0.6786 memory: 22238 grad_norm: 27.0358 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.0846 loss: 2.0846 2022/07/31 06:10:39 - mmengine - INFO - Epoch(train) [7][880/2505] lr: 2.3000e-04 eta: 1 day, 11:23:03 time: 0.8802 data_time: 0.4608 memory: 22238 grad_norm: 27.4629 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7883 loss: 1.7883 2022/07/31 06:11:00 - mmengine - INFO - Epoch(train) [7][900/2505] lr: 2.3000e-04 eta: 1 day, 11:22:57 time: 1.0660 data_time: 0.6601 memory: 22238 grad_norm: 25.8821 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0765 loss: 2.0765 2022/07/31 06:11:18 - mmengine - INFO - Epoch(train) [7][920/2505] lr: 2.3000e-04 eta: 1 day, 11:22:23 time: 0.8982 data_time: 0.4791 memory: 22238 grad_norm: 27.1492 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.0295 loss: 2.0295 2022/07/31 06:11:40 - mmengine - INFO - Epoch(train) [7][940/2505] lr: 2.3000e-04 eta: 1 day, 11:22:20 time: 1.0849 data_time: 0.6729 memory: 22238 grad_norm: 28.8791 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9666 loss: 1.9666 2022/07/31 06:11:57 - mmengine - INFO - Epoch(train) [7][960/2505] lr: 2.3000e-04 eta: 1 day, 11:21:40 time: 0.8621 data_time: 0.4445 memory: 22238 grad_norm: 27.4703 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7564 loss: 1.7564 2022/07/31 06:12:10 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 06:12:19 - mmengine - INFO - Epoch(train) [7][980/2505] lr: 2.3000e-04 eta: 1 day, 11:21:38 time: 1.0912 data_time: 0.6732 memory: 22238 grad_norm: 26.9460 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7337 loss: 1.7337 2022/07/31 06:12:36 - mmengine - INFO - Epoch(train) [7][1000/2505] lr: 2.3000e-04 eta: 1 day, 11:20:57 time: 0.8568 data_time: 0.4488 memory: 22238 grad_norm: 26.9097 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.2053 loss: 2.2053 2022/07/31 06:12:58 - mmengine - INFO - Epoch(train) [7][1020/2505] lr: 2.3000e-04 eta: 1 day, 11:20:59 time: 1.1188 data_time: 0.7085 memory: 22238 grad_norm: 26.7745 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.9457 loss: 1.9457 2022/07/31 06:13:15 - mmengine - INFO - Epoch(train) [7][1040/2505] lr: 2.3000e-04 eta: 1 day, 11:20:21 time: 0.8657 data_time: 0.4548 memory: 22238 grad_norm: 28.6673 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9798 loss: 1.9798 2022/07/31 06:13:38 - mmengine - INFO - Epoch(train) [7][1060/2505] lr: 2.3000e-04 eta: 1 day, 11:20:20 time: 1.1036 data_time: 0.6831 memory: 22238 grad_norm: 27.1230 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.9738 loss: 1.9738 2022/07/31 06:13:55 - mmengine - INFO - Epoch(train) [7][1080/2505] lr: 2.3000e-04 eta: 1 day, 11:19:44 time: 0.8813 data_time: 0.4635 memory: 22238 grad_norm: 26.7637 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1001 loss: 2.1001 2022/07/31 06:14:17 - mmengine - INFO - Epoch(train) [7][1100/2505] lr: 2.3000e-04 eta: 1 day, 11:19:40 time: 1.0865 data_time: 0.6709 memory: 22238 grad_norm: 25.2887 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9141 loss: 1.9141 2022/07/31 06:14:34 - mmengine - INFO - Epoch(train) [7][1120/2505] lr: 2.3000e-04 eta: 1 day, 11:19:00 time: 0.8577 data_time: 0.4604 memory: 22238 grad_norm: 26.6476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1027 loss: 2.1027 2022/07/31 06:14:56 - mmengine - INFO - Epoch(train) [7][1140/2505] lr: 2.3000e-04 eta: 1 day, 11:18:56 time: 1.0836 data_time: 0.6722 memory: 22238 grad_norm: 28.0106 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.1945 loss: 2.1945 2022/07/31 06:15:13 - mmengine - INFO - Epoch(train) [7][1160/2505] lr: 2.3000e-04 eta: 1 day, 11:18:20 time: 0.8823 data_time: 0.4810 memory: 22238 grad_norm: 27.0504 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9213 loss: 1.9213 2022/07/31 06:15:36 - mmengine - INFO - Epoch(train) [7][1180/2505] lr: 2.3000e-04 eta: 1 day, 11:18:22 time: 1.1169 data_time: 0.6872 memory: 22238 grad_norm: 25.9919 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8237 loss: 1.8237 2022/07/31 06:15:52 - mmengine - INFO - Epoch(train) [7][1200/2505] lr: 2.3000e-04 eta: 1 day, 11:17:35 time: 0.8126 data_time: 0.4222 memory: 22238 grad_norm: 27.2624 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6479 loss: 1.6479 2022/07/31 06:16:15 - mmengine - INFO - Epoch(train) [7][1220/2505] lr: 2.3000e-04 eta: 1 day, 11:17:40 time: 1.1381 data_time: 0.7035 memory: 22238 grad_norm: 27.9827 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.1274 loss: 2.1274 2022/07/31 06:16:32 - mmengine - INFO - Epoch(train) [7][1240/2505] lr: 2.3000e-04 eta: 1 day, 11:17:00 time: 0.8583 data_time: 0.4288 memory: 22238 grad_norm: 27.2467 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.8260 loss: 1.8260 2022/07/31 06:16:54 - mmengine - INFO - Epoch(train) [7][1260/2505] lr: 2.3000e-04 eta: 1 day, 11:16:58 time: 1.0957 data_time: 0.6060 memory: 22238 grad_norm: 26.7852 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7303 loss: 1.7303 2022/07/31 06:17:11 - mmengine - INFO - Epoch(train) [7][1280/2505] lr: 2.3000e-04 eta: 1 day, 11:16:20 time: 0.8718 data_time: 0.3782 memory: 22238 grad_norm: 27.8984 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8119 loss: 1.8119 2022/07/31 06:17:33 - mmengine - INFO - Epoch(train) [7][1300/2505] lr: 2.3000e-04 eta: 1 day, 11:16:15 time: 1.0756 data_time: 0.5545 memory: 22238 grad_norm: 27.1620 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9526 loss: 1.9526 2022/07/31 06:17:50 - mmengine - INFO - Epoch(train) [7][1320/2505] lr: 2.3000e-04 eta: 1 day, 11:15:39 time: 0.8838 data_time: 0.4566 memory: 22238 grad_norm: 28.1686 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9311 loss: 1.9311 2022/07/31 06:18:13 - mmengine - INFO - Epoch(train) [7][1340/2505] lr: 2.3000e-04 eta: 1 day, 11:15:41 time: 1.1234 data_time: 0.7064 memory: 22238 grad_norm: 27.1676 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.9296 loss: 1.9296 2022/07/31 06:18:31 - mmengine - INFO - Epoch(train) [7][1360/2505] lr: 2.3000e-04 eta: 1 day, 11:15:08 time: 0.8944 data_time: 0.4871 memory: 22238 grad_norm: 27.0804 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0189 loss: 2.0189 2022/07/31 06:18:53 - mmengine - INFO - Epoch(train) [7][1380/2505] lr: 2.3000e-04 eta: 1 day, 11:15:06 time: 1.1021 data_time: 0.6811 memory: 22238 grad_norm: 26.6762 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8923 loss: 1.8923 2022/07/31 06:19:09 - mmengine - INFO - Epoch(train) [7][1400/2505] lr: 2.3000e-04 eta: 1 day, 11:14:22 time: 0.8256 data_time: 0.4259 memory: 22238 grad_norm: 27.4393 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0511 loss: 2.0511 2022/07/31 06:19:30 - mmengine - INFO - Epoch(train) [7][1420/2505] lr: 2.3000e-04 eta: 1 day, 11:14:11 time: 1.0390 data_time: 0.6191 memory: 22238 grad_norm: 26.3277 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9641 loss: 1.9641 2022/07/31 06:19:48 - mmengine - INFO - Epoch(train) [7][1440/2505] lr: 2.3000e-04 eta: 1 day, 11:13:39 time: 0.9058 data_time: 0.5012 memory: 22238 grad_norm: 26.9817 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9718 loss: 1.9718 2022/07/31 06:20:10 - mmengine - INFO - Epoch(train) [7][1460/2505] lr: 2.3000e-04 eta: 1 day, 11:13:37 time: 1.1001 data_time: 0.6950 memory: 22238 grad_norm: 27.7297 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8965 loss: 1.8965 2022/07/31 06:20:28 - mmengine - INFO - Epoch(train) [7][1480/2505] lr: 2.3000e-04 eta: 1 day, 11:13:03 time: 0.8921 data_time: 0.4550 memory: 22238 grad_norm: 29.1583 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7041 loss: 1.7041 2022/07/31 06:20:49 - mmengine - INFO - Epoch(train) [7][1500/2505] lr: 2.3000e-04 eta: 1 day, 11:12:55 time: 1.0583 data_time: 0.6523 memory: 22238 grad_norm: 26.7310 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7540 loss: 1.7540 2022/07/31 06:21:07 - mmengine - INFO - Epoch(train) [7][1520/2505] lr: 2.3000e-04 eta: 1 day, 11:12:16 time: 0.8644 data_time: 0.4569 memory: 22238 grad_norm: 27.3135 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9891 loss: 1.9891 2022/07/31 06:21:29 - mmengine - INFO - Epoch(train) [7][1540/2505] lr: 2.3000e-04 eta: 1 day, 11:12:15 time: 1.1047 data_time: 0.6784 memory: 22238 grad_norm: 26.5902 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.2326 loss: 2.2326 2022/07/31 06:21:47 - mmengine - INFO - Epoch(train) [7][1560/2505] lr: 2.3000e-04 eta: 1 day, 11:11:42 time: 0.8984 data_time: 0.4792 memory: 22238 grad_norm: 26.6580 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6528 loss: 1.6528 2022/07/31 06:22:08 - mmengine - INFO - Epoch(train) [7][1580/2505] lr: 2.3000e-04 eta: 1 day, 11:11:39 time: 1.0934 data_time: 0.6248 memory: 22238 grad_norm: 26.8978 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0514 loss: 2.0514 2022/07/31 06:22:26 - mmengine - INFO - Epoch(train) [7][1600/2505] lr: 2.3000e-04 eta: 1 day, 11:11:04 time: 0.8821 data_time: 0.3695 memory: 22238 grad_norm: 27.6897 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8807 loss: 1.8807 2022/07/31 06:22:49 - mmengine - INFO - Epoch(train) [7][1620/2505] lr: 2.3000e-04 eta: 1 day, 11:11:08 time: 1.1359 data_time: 0.5714 memory: 22238 grad_norm: 26.0966 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1716 loss: 2.1716 2022/07/31 06:23:06 - mmengine - INFO - Epoch(train) [7][1640/2505] lr: 2.3000e-04 eta: 1 day, 11:10:31 time: 0.8777 data_time: 0.3133 memory: 22238 grad_norm: 27.5693 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1287 loss: 2.1287 2022/07/31 06:23:29 - mmengine - INFO - Epoch(train) [7][1660/2505] lr: 2.3000e-04 eta: 1 day, 11:10:32 time: 1.1149 data_time: 0.3211 memory: 22238 grad_norm: 27.0365 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1159 loss: 2.1159 2022/07/31 06:23:47 - mmengine - INFO - Epoch(train) [7][1680/2505] lr: 2.3000e-04 eta: 1 day, 11:09:57 time: 0.8881 data_time: 0.2720 memory: 22238 grad_norm: 27.4287 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.3568 loss: 2.3568 2022/07/31 06:24:07 - mmengine - INFO - Epoch(train) [7][1700/2505] lr: 2.3000e-04 eta: 1 day, 11:09:45 time: 1.0313 data_time: 0.4969 memory: 22238 grad_norm: 26.6820 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8030 loss: 1.8030 2022/07/31 06:24:24 - mmengine - INFO - Epoch(train) [7][1720/2505] lr: 2.3000e-04 eta: 1 day, 11:09:06 time: 0.8580 data_time: 0.4034 memory: 22238 grad_norm: 27.9870 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 2.2677 loss: 2.2677 2022/07/31 06:24:46 - mmengine - INFO - Epoch(train) [7][1740/2505] lr: 2.3000e-04 eta: 1 day, 11:09:01 time: 1.0805 data_time: 0.6219 memory: 22238 grad_norm: 28.3865 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1071 loss: 2.1071 2022/07/31 06:25:03 - mmengine - INFO - Epoch(train) [7][1760/2505] lr: 2.3000e-04 eta: 1 day, 11:08:25 time: 0.8811 data_time: 0.4095 memory: 22238 grad_norm: 27.4175 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.2344 loss: 2.2344 2022/07/31 06:25:26 - mmengine - INFO - Epoch(train) [7][1780/2505] lr: 2.3000e-04 eta: 1 day, 11:08:27 time: 1.1269 data_time: 0.5584 memory: 22238 grad_norm: 26.9646 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8286 loss: 1.8286 2022/07/31 06:25:43 - mmengine - INFO - Epoch(train) [7][1800/2505] lr: 2.3000e-04 eta: 1 day, 11:07:45 time: 0.8399 data_time: 0.4336 memory: 22238 grad_norm: 27.0856 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0404 loss: 2.0404 2022/07/31 06:26:05 - mmengine - INFO - Epoch(train) [7][1820/2505] lr: 2.3000e-04 eta: 1 day, 11:07:41 time: 1.0851 data_time: 0.6264 memory: 22238 grad_norm: 26.8382 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8906 loss: 1.8906 2022/07/31 06:26:23 - mmengine - INFO - Epoch(train) [7][1840/2505] lr: 2.3000e-04 eta: 1 day, 11:07:09 time: 0.9054 data_time: 0.4499 memory: 22238 grad_norm: 27.9977 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0706 loss: 2.0706 2022/07/31 06:26:43 - mmengine - INFO - Epoch(train) [7][1860/2505] lr: 2.3000e-04 eta: 1 day, 11:06:56 time: 1.0288 data_time: 0.5910 memory: 22238 grad_norm: 26.5944 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9995 loss: 1.9995 2022/07/31 06:27:02 - mmengine - INFO - Epoch(train) [7][1880/2505] lr: 2.3000e-04 eta: 1 day, 11:06:30 time: 0.9425 data_time: 0.5489 memory: 22238 grad_norm: 27.0714 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9348 loss: 1.9348 2022/07/31 06:27:22 - mmengine - INFO - Epoch(train) [7][1900/2505] lr: 2.3000e-04 eta: 1 day, 11:06:10 time: 0.9786 data_time: 0.5777 memory: 22238 grad_norm: 27.4263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1289 loss: 2.1289 2022/07/31 06:27:41 - mmengine - INFO - Epoch(train) [7][1920/2505] lr: 2.3000e-04 eta: 1 day, 11:05:44 time: 0.9484 data_time: 0.5327 memory: 22238 grad_norm: 27.1169 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.0001 loss: 2.0001 2022/07/31 06:28:02 - mmengine - INFO - Epoch(train) [7][1940/2505] lr: 2.3000e-04 eta: 1 day, 11:05:34 time: 1.0465 data_time: 0.6552 memory: 22238 grad_norm: 27.3976 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8238 loss: 1.8238 2022/07/31 06:28:22 - mmengine - INFO - Epoch(train) [7][1960/2505] lr: 2.3000e-04 eta: 1 day, 11:05:17 time: 1.0018 data_time: 0.5952 memory: 22238 grad_norm: 26.3068 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1785 loss: 2.1785 2022/07/31 06:28:33 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 06:28:41 - mmengine - INFO - Epoch(train) [7][1980/2505] lr: 2.3000e-04 eta: 1 day, 11:04:53 time: 0.9559 data_time: 0.5458 memory: 22238 grad_norm: 26.3861 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9637 loss: 1.9637 2022/07/31 06:29:01 - mmengine - INFO - Epoch(train) [7][2000/2505] lr: 2.3000e-04 eta: 1 day, 11:04:38 time: 1.0143 data_time: 0.6068 memory: 22238 grad_norm: 26.2005 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8813 loss: 1.8813 2022/07/31 06:29:21 - mmengine - INFO - Epoch(train) [7][2020/2505] lr: 2.3000e-04 eta: 1 day, 11:04:22 time: 1.0110 data_time: 0.6215 memory: 22238 grad_norm: 26.3267 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9430 loss: 1.9430 2022/07/31 06:29:41 - mmengine - INFO - Epoch(train) [7][2040/2505] lr: 2.3000e-04 eta: 1 day, 11:04:03 time: 0.9871 data_time: 0.5747 memory: 22238 grad_norm: 26.4677 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8390 loss: 1.8390 2022/07/31 06:30:01 - mmengine - INFO - Epoch(train) [7][2060/2505] lr: 2.3000e-04 eta: 1 day, 11:03:43 time: 0.9867 data_time: 0.5806 memory: 22238 grad_norm: 26.1635 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.2830 loss: 2.2830 2022/07/31 06:30:21 - mmengine - INFO - Epoch(train) [7][2080/2505] lr: 2.3000e-04 eta: 1 day, 11:03:25 time: 0.9933 data_time: 0.5826 memory: 22238 grad_norm: 28.1754 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9132 loss: 1.9132 2022/07/31 06:30:41 - mmengine - INFO - Epoch(train) [7][2100/2505] lr: 2.3000e-04 eta: 1 day, 11:03:09 time: 1.0093 data_time: 0.6019 memory: 22238 grad_norm: 25.4160 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.9915 loss: 1.9915 2022/07/31 06:31:00 - mmengine - INFO - Epoch(train) [7][2120/2505] lr: 2.3000e-04 eta: 1 day, 11:02:48 time: 0.9753 data_time: 0.5706 memory: 22238 grad_norm: 27.2150 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.8670 loss: 1.8670 2022/07/31 06:31:19 - mmengine - INFO - Epoch(train) [7][2140/2505] lr: 2.3000e-04 eta: 1 day, 11:02:23 time: 0.9472 data_time: 0.5409 memory: 22238 grad_norm: 26.2546 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6332 loss: 1.6332 2022/07/31 06:31:39 - mmengine - INFO - Epoch(train) [7][2160/2505] lr: 2.3000e-04 eta: 1 day, 11:02:03 time: 0.9833 data_time: 0.5729 memory: 22238 grad_norm: 27.4921 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7717 loss: 1.7717 2022/07/31 06:31:59 - mmengine - INFO - Epoch(train) [7][2180/2505] lr: 2.3000e-04 eta: 1 day, 11:01:50 time: 1.0297 data_time: 0.6161 memory: 22238 grad_norm: 26.1548 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9028 loss: 1.9028 2022/07/31 06:32:19 - mmengine - INFO - Epoch(train) [7][2200/2505] lr: 2.3000e-04 eta: 1 day, 11:01:27 time: 0.9636 data_time: 0.5677 memory: 22238 grad_norm: 27.9687 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0510 loss: 2.0510 2022/07/31 06:32:39 - mmengine - INFO - Epoch(train) [7][2220/2505] lr: 2.3000e-04 eta: 1 day, 11:01:14 time: 1.0296 data_time: 0.6138 memory: 22238 grad_norm: 26.6691 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0445 loss: 2.0445 2022/07/31 06:32:57 - mmengine - INFO - Epoch(train) [7][2240/2505] lr: 2.3000e-04 eta: 1 day, 11:00:36 time: 0.8623 data_time: 0.4679 memory: 22238 grad_norm: 26.9875 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1380 loss: 2.1380 2022/07/31 06:33:19 - mmengine - INFO - Epoch(train) [7][2260/2505] lr: 2.3000e-04 eta: 1 day, 11:00:34 time: 1.1021 data_time: 0.6906 memory: 22238 grad_norm: 27.4299 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.1118 loss: 2.1118 2022/07/31 06:33:36 - mmengine - INFO - Epoch(train) [7][2280/2505] lr: 2.3000e-04 eta: 1 day, 10:59:55 time: 0.8576 data_time: 0.4488 memory: 22238 grad_norm: 26.4035 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 2.0667 loss: 2.0667 2022/07/31 06:33:57 - mmengine - INFO - Epoch(train) [7][2300/2505] lr: 2.3000e-04 eta: 1 day, 10:59:50 time: 1.0810 data_time: 0.5589 memory: 22238 grad_norm: 27.6055 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.1530 loss: 2.1530 2022/07/31 06:34:16 - mmengine - INFO - Epoch(train) [7][2320/2505] lr: 2.3000e-04 eta: 1 day, 10:59:24 time: 0.9426 data_time: 0.3743 memory: 22238 grad_norm: 25.8961 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.8474 loss: 1.8474 2022/07/31 06:34:38 - mmengine - INFO - Epoch(train) [7][2340/2505] lr: 2.3000e-04 eta: 1 day, 10:59:22 time: 1.1037 data_time: 0.6683 memory: 22238 grad_norm: 26.2293 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7504 loss: 1.7504 2022/07/31 06:34:54 - mmengine - INFO - Epoch(train) [7][2360/2505] lr: 2.3000e-04 eta: 1 day, 10:58:32 time: 0.7823 data_time: 0.3918 memory: 22238 grad_norm: 25.3262 top1_acc: 0.3333 top5_acc: 0.3333 loss_cls: 1.9476 loss: 1.9476 2022/07/31 06:35:16 - mmengine - INFO - Epoch(train) [7][2380/2505] lr: 2.3000e-04 eta: 1 day, 10:58:31 time: 1.1070 data_time: 0.6717 memory: 22238 grad_norm: 26.6667 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1214 loss: 2.1214 2022/07/31 06:35:33 - mmengine - INFO - Epoch(train) [7][2400/2505] lr: 2.3000e-04 eta: 1 day, 10:57:51 time: 0.8487 data_time: 0.4513 memory: 22238 grad_norm: 25.7622 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8787 loss: 1.8787 2022/07/31 06:35:55 - mmengine - INFO - Epoch(train) [7][2420/2505] lr: 2.3000e-04 eta: 1 day, 10:57:48 time: 1.0948 data_time: 0.6823 memory: 22238 grad_norm: 25.9570 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.0860 loss: 2.0860 2022/07/31 06:36:12 - mmengine - INFO - Epoch(train) [7][2440/2505] lr: 2.3000e-04 eta: 1 day, 10:57:09 time: 0.8528 data_time: 0.4231 memory: 22238 grad_norm: 27.9067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0978 loss: 2.0978 2022/07/31 06:36:33 - mmengine - INFO - Epoch(train) [7][2460/2505] lr: 2.3000e-04 eta: 1 day, 10:56:58 time: 1.0461 data_time: 0.6139 memory: 22238 grad_norm: 26.4206 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0516 loss: 2.0516 2022/07/31 06:36:51 - mmengine - INFO - Epoch(train) [7][2480/2505] lr: 2.3000e-04 eta: 1 day, 10:56:27 time: 0.9043 data_time: 0.4570 memory: 22238 grad_norm: 25.8130 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.0602 loss: 2.0602 2022/07/31 06:37:11 - mmengine - INFO - Epoch(train) [7][2500/2505] lr: 2.3000e-04 eta: 1 day, 10:56:06 time: 0.9763 data_time: 0.4787 memory: 22238 grad_norm: 26.0150 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7924 loss: 1.7924 2022/07/31 06:37:12 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 06:37:12 - mmengine - INFO - Epoch(train) [7][2505/2505] lr: 2.3000e-04 eta: 1 day, 10:56:06 time: 0.7734 data_time: 0.3085 memory: 22238 grad_norm: 26.7417 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.7039 loss: 1.7039 2022/07/31 06:37:38 - mmengine - INFO - Epoch(train) [8][20/2505] lr: 2.6000e-04 eta: 1 day, 10:55:50 time: 1.2907 data_time: 0.8013 memory: 22238 grad_norm: 26.1289 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0609 loss: 2.0609 2022/07/31 06:37:56 - mmengine - INFO - Epoch(train) [8][40/2505] lr: 2.6000e-04 eta: 1 day, 10:55:17 time: 0.8929 data_time: 0.3770 memory: 22238 grad_norm: 27.2159 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8444 loss: 1.8444 2022/07/31 06:38:19 - mmengine - INFO - Epoch(train) [8][60/2505] lr: 2.6000e-04 eta: 1 day, 10:55:19 time: 1.1339 data_time: 0.4659 memory: 22238 grad_norm: 26.2251 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9056 loss: 1.9056 2022/07/31 06:38:36 - mmengine - INFO - Epoch(train) [8][80/2505] lr: 2.6000e-04 eta: 1 day, 10:54:42 time: 0.8663 data_time: 0.2525 memory: 22238 grad_norm: 26.3083 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0565 loss: 2.0565 2022/07/31 06:38:58 - mmengine - INFO - Epoch(train) [8][100/2505] lr: 2.6000e-04 eta: 1 day, 10:54:39 time: 1.0970 data_time: 0.4275 memory: 22238 grad_norm: 26.1549 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8238 loss: 1.8238 2022/07/31 06:39:16 - mmengine - INFO - Epoch(train) [8][120/2505] lr: 2.6000e-04 eta: 1 day, 10:54:05 time: 0.8884 data_time: 0.4433 memory: 22238 grad_norm: 26.6210 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 2.0607 loss: 2.0607 2022/07/31 06:39:38 - mmengine - INFO - Epoch(train) [8][140/2505] lr: 2.6000e-04 eta: 1 day, 10:54:05 time: 1.1232 data_time: 0.6781 memory: 22238 grad_norm: 26.5661 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9024 loss: 1.9024 2022/07/31 06:39:57 - mmengine - INFO - Epoch(train) [8][160/2505] lr: 2.6000e-04 eta: 1 day, 10:53:36 time: 0.9168 data_time: 0.4081 memory: 22238 grad_norm: 27.2827 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1589 loss: 2.1589 2022/07/31 06:40:19 - mmengine - INFO - Epoch(train) [8][180/2505] lr: 2.6000e-04 eta: 1 day, 10:53:37 time: 1.1251 data_time: 0.6693 memory: 22238 grad_norm: 26.2202 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 1.9052 loss: 1.9052 2022/07/31 06:40:36 - mmengine - INFO - Epoch(train) [8][200/2505] lr: 2.6000e-04 eta: 1 day, 10:52:55 time: 0.8347 data_time: 0.3786 memory: 22238 grad_norm: 26.1995 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9912 loss: 1.9912 2022/07/31 06:40:59 - mmengine - INFO - Epoch(train) [8][220/2505] lr: 2.6000e-04 eta: 1 day, 10:52:56 time: 1.1258 data_time: 0.6454 memory: 22238 grad_norm: 27.2439 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.9621 loss: 1.9621 2022/07/31 06:41:16 - mmengine - INFO - Epoch(train) [8][240/2505] lr: 2.6000e-04 eta: 1 day, 10:52:18 time: 0.8576 data_time: 0.4585 memory: 22238 grad_norm: 26.5615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9608 loss: 1.9608 2022/07/31 06:41:37 - mmengine - INFO - Epoch(train) [8][260/2505] lr: 2.6000e-04 eta: 1 day, 10:52:13 time: 1.0901 data_time: 0.6731 memory: 22238 grad_norm: 27.1740 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8575 loss: 1.8575 2022/07/31 06:41:55 - mmengine - INFO - Epoch(train) [8][280/2505] lr: 2.6000e-04 eta: 1 day, 10:51:41 time: 0.8962 data_time: 0.4797 memory: 22238 grad_norm: 27.2917 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.1220 loss: 2.1220 2022/07/31 06:42:17 - mmengine - INFO - Epoch(train) [8][300/2505] lr: 2.6000e-04 eta: 1 day, 10:51:38 time: 1.0997 data_time: 0.5668 memory: 22238 grad_norm: 26.4310 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.1141 loss: 2.1141 2022/07/31 06:42:35 - mmengine - INFO - Epoch(train) [8][320/2505] lr: 2.6000e-04 eta: 1 day, 10:51:03 time: 0.8788 data_time: 0.3570 memory: 22238 grad_norm: 26.0545 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7558 loss: 1.7558 2022/07/31 06:42:56 - mmengine - INFO - Epoch(train) [8][340/2505] lr: 2.6000e-04 eta: 1 day, 10:50:55 time: 1.0647 data_time: 0.5292 memory: 22238 grad_norm: 28.1099 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.8022 loss: 1.8022 2022/07/31 06:43:13 - mmengine - INFO - Epoch(train) [8][360/2505] lr: 2.6000e-04 eta: 1 day, 10:50:15 time: 0.8429 data_time: 0.3724 memory: 22238 grad_norm: 27.3249 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.0168 loss: 2.0168 2022/07/31 06:43:35 - mmengine - INFO - Epoch(train) [8][380/2505] lr: 2.6000e-04 eta: 1 day, 10:50:11 time: 1.0924 data_time: 0.3876 memory: 22238 grad_norm: 26.4009 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5889 loss: 1.5889 2022/07/31 06:43:53 - mmengine - INFO - Epoch(train) [8][400/2505] lr: 2.6000e-04 eta: 1 day, 10:49:36 time: 0.8824 data_time: 0.3025 memory: 22238 grad_norm: 27.1219 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0593 loss: 2.0593 2022/07/31 06:44:14 - mmengine - INFO - Epoch(train) [8][420/2505] lr: 2.6000e-04 eta: 1 day, 10:49:32 time: 1.0902 data_time: 0.2925 memory: 22238 grad_norm: 26.7093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1268 loss: 2.1268 2022/07/31 06:44:32 - mmengine - INFO - Epoch(train) [8][440/2505] lr: 2.6000e-04 eta: 1 day, 10:48:57 time: 0.8760 data_time: 0.2446 memory: 22238 grad_norm: 26.7361 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1912 loss: 2.1912 2022/07/31 06:44:54 - mmengine - INFO - Epoch(train) [8][460/2505] lr: 2.6000e-04 eta: 1 day, 10:48:54 time: 1.1076 data_time: 0.4571 memory: 22238 grad_norm: 26.6299 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2416 loss: 2.2416 2022/07/31 06:44:59 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 06:45:12 - mmengine - INFO - Epoch(train) [8][480/2505] lr: 2.6000e-04 eta: 1 day, 10:48:19 time: 0.8770 data_time: 0.3187 memory: 22238 grad_norm: 26.3684 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.2687 loss: 2.2687 2022/07/31 06:45:34 - mmengine - INFO - Epoch(train) [8][500/2505] lr: 2.6000e-04 eta: 1 day, 10:48:19 time: 1.1194 data_time: 0.4463 memory: 22238 grad_norm: 25.8405 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7399 loss: 1.7399 2022/07/31 06:45:51 - mmengine - INFO - Epoch(train) [8][520/2505] lr: 2.6000e-04 eta: 1 day, 10:47:43 time: 0.8729 data_time: 0.2873 memory: 22238 grad_norm: 27.0818 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7565 loss: 1.7565 2022/07/31 06:46:13 - mmengine - INFO - Epoch(train) [8][540/2505] lr: 2.6000e-04 eta: 1 day, 10:47:37 time: 1.0802 data_time: 0.2670 memory: 22238 grad_norm: 28.1508 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7373 loss: 1.7373 2022/07/31 06:46:31 - mmengine - INFO - Epoch(train) [8][560/2505] lr: 2.6000e-04 eta: 1 day, 10:47:05 time: 0.8957 data_time: 0.2607 memory: 22238 grad_norm: 27.0731 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.9588 loss: 1.9588 2022/07/31 06:46:53 - mmengine - INFO - Epoch(train) [8][580/2505] lr: 2.6000e-04 eta: 1 day, 10:47:00 time: 1.0909 data_time: 0.1629 memory: 22238 grad_norm: 25.9364 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0803 loss: 2.0803 2022/07/31 06:47:11 - mmengine - INFO - Epoch(train) [8][600/2505] lr: 2.6000e-04 eta: 1 day, 10:46:32 time: 0.9209 data_time: 0.1072 memory: 22238 grad_norm: 26.1896 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8541 loss: 1.8541 2022/07/31 06:47:33 - mmengine - INFO - Epoch(train) [8][620/2505] lr: 2.6000e-04 eta: 1 day, 10:46:27 time: 1.0907 data_time: 0.0522 memory: 22238 grad_norm: 26.3755 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 2.1518 loss: 2.1518 2022/07/31 06:47:51 - mmengine - INFO - Epoch(train) [8][640/2505] lr: 2.6000e-04 eta: 1 day, 10:45:52 time: 0.8760 data_time: 0.0376 memory: 22238 grad_norm: 26.2666 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7431 loss: 1.7431 2022/07/31 06:48:12 - mmengine - INFO - Epoch(train) [8][660/2505] lr: 2.6000e-04 eta: 1 day, 10:45:42 time: 1.0570 data_time: 0.0989 memory: 22238 grad_norm: 27.2058 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9591 loss: 1.9591 2022/07/31 06:48:30 - mmengine - INFO - Epoch(train) [8][680/2505] lr: 2.6000e-04 eta: 1 day, 10:45:11 time: 0.8996 data_time: 0.1389 memory: 22238 grad_norm: 27.1842 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0665 loss: 2.0665 2022/07/31 06:48:51 - mmengine - INFO - Epoch(train) [8][700/2505] lr: 2.6000e-04 eta: 1 day, 10:45:02 time: 1.0631 data_time: 0.2556 memory: 22238 grad_norm: 27.1019 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9635 loss: 1.9635 2022/07/31 06:49:09 - mmengine - INFO - Epoch(train) [8][720/2505] lr: 2.6000e-04 eta: 1 day, 10:44:32 time: 0.9118 data_time: 0.2413 memory: 22238 grad_norm: 26.3222 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0140 loss: 2.0140 2022/07/31 06:49:31 - mmengine - INFO - Epoch(train) [8][740/2505] lr: 2.6000e-04 eta: 1 day, 10:44:27 time: 1.0884 data_time: 0.3067 memory: 22238 grad_norm: 27.4167 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1223 loss: 2.1223 2022/07/31 06:49:48 - mmengine - INFO - Epoch(train) [8][760/2505] lr: 2.6000e-04 eta: 1 day, 10:43:51 time: 0.8658 data_time: 0.2340 memory: 22238 grad_norm: 26.6984 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.9431 loss: 1.9431 2022/07/31 06:50:10 - mmengine - INFO - Epoch(train) [8][780/2505] lr: 2.6000e-04 eta: 1 day, 10:43:47 time: 1.0982 data_time: 0.4392 memory: 22238 grad_norm: 26.8590 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8465 loss: 1.8465 2022/07/31 06:50:28 - mmengine - INFO - Epoch(train) [8][800/2505] lr: 2.6000e-04 eta: 1 day, 10:43:13 time: 0.8859 data_time: 0.2426 memory: 22238 grad_norm: 26.4778 top1_acc: 0.4167 top5_acc: 0.4167 loss_cls: 2.1833 loss: 2.1833 2022/07/31 06:50:50 - mmengine - INFO - Epoch(train) [8][820/2505] lr: 2.6000e-04 eta: 1 day, 10:43:10 time: 1.1017 data_time: 0.3055 memory: 22238 grad_norm: 25.7162 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0330 loss: 2.0330 2022/07/31 06:51:07 - mmengine - INFO - Epoch(train) [8][840/2505] lr: 2.6000e-04 eta: 1 day, 10:42:35 time: 0.8741 data_time: 0.1652 memory: 22238 grad_norm: 26.1448 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.0501 loss: 2.0501 2022/07/31 06:51:30 - mmengine - INFO - Epoch(train) [8][860/2505] lr: 2.6000e-04 eta: 1 day, 10:42:33 time: 1.1103 data_time: 0.2425 memory: 22238 grad_norm: 26.5328 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9425 loss: 1.9425 2022/07/31 06:51:46 - mmengine - INFO - Epoch(train) [8][880/2505] lr: 2.6000e-04 eta: 1 day, 10:41:52 time: 0.8315 data_time: 0.1056 memory: 22238 grad_norm: 25.7908 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9268 loss: 1.9268 2022/07/31 06:52:08 - mmengine - INFO - Epoch(train) [8][900/2505] lr: 2.6000e-04 eta: 1 day, 10:41:48 time: 1.1009 data_time: 0.1522 memory: 22238 grad_norm: 26.3480 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5436 loss: 1.5436 2022/07/31 06:52:26 - mmengine - INFO - Epoch(train) [8][920/2505] lr: 2.6000e-04 eta: 1 day, 10:41:15 time: 0.8843 data_time: 0.0516 memory: 22238 grad_norm: 27.1009 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8975 loss: 1.8975 2022/07/31 06:52:48 - mmengine - INFO - Epoch(train) [8][940/2505] lr: 2.6000e-04 eta: 1 day, 10:41:09 time: 1.0851 data_time: 0.1714 memory: 22238 grad_norm: 25.2130 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0947 loss: 2.0947 2022/07/31 06:53:05 - mmengine - INFO - Epoch(train) [8][960/2505] lr: 2.6000e-04 eta: 1 day, 10:40:35 time: 0.8838 data_time: 0.1181 memory: 22238 grad_norm: 26.8718 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.9894 loss: 1.9894 2022/07/31 06:53:27 - mmengine - INFO - Epoch(train) [8][980/2505] lr: 2.6000e-04 eta: 1 day, 10:40:28 time: 1.0730 data_time: 0.0403 memory: 22238 grad_norm: 26.9829 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0835 loss: 2.0835 2022/07/31 06:53:45 - mmengine - INFO - Epoch(train) [8][1000/2505] lr: 2.6000e-04 eta: 1 day, 10:39:56 time: 0.8966 data_time: 0.0493 memory: 22238 grad_norm: 26.2639 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6525 loss: 1.6525 2022/07/31 06:54:07 - mmengine - INFO - Epoch(train) [8][1020/2505] lr: 2.6000e-04 eta: 1 day, 10:39:55 time: 1.1251 data_time: 0.0284 memory: 22238 grad_norm: 25.5393 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8397 loss: 1.8397 2022/07/31 06:54:24 - mmengine - INFO - Epoch(train) [8][1040/2505] lr: 2.6000e-04 eta: 1 day, 10:39:17 time: 0.8471 data_time: 0.0272 memory: 22238 grad_norm: 26.1846 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7893 loss: 1.7893 2022/07/31 06:54:46 - mmengine - INFO - Epoch(train) [8][1060/2505] lr: 2.6000e-04 eta: 1 day, 10:39:11 time: 1.0834 data_time: 0.0285 memory: 22238 grad_norm: 27.0225 top1_acc: 0.3333 top5_acc: 0.3333 loss_cls: 2.3307 loss: 2.3307 2022/07/31 06:55:03 - mmengine - INFO - Epoch(train) [8][1080/2505] lr: 2.6000e-04 eta: 1 day, 10:38:35 time: 0.8677 data_time: 0.0335 memory: 22238 grad_norm: 25.1668 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8344 loss: 1.8344 2022/07/31 06:55:26 - mmengine - INFO - Epoch(train) [8][1100/2505] lr: 2.6000e-04 eta: 1 day, 10:38:34 time: 1.1207 data_time: 0.0338 memory: 22238 grad_norm: 25.1490 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8666 loss: 1.8666 2022/07/31 06:55:43 - mmengine - INFO - Epoch(train) [8][1120/2505] lr: 2.6000e-04 eta: 1 day, 10:37:59 time: 0.8730 data_time: 0.0338 memory: 22238 grad_norm: 25.6171 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7923 loss: 1.7923 2022/07/31 06:56:05 - mmengine - INFO - Epoch(train) [8][1140/2505] lr: 2.6000e-04 eta: 1 day, 10:37:53 time: 1.0880 data_time: 0.0359 memory: 22238 grad_norm: 25.4344 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1311 loss: 2.1311 2022/07/31 06:56:22 - mmengine - INFO - Epoch(train) [8][1160/2505] lr: 2.6000e-04 eta: 1 day, 10:37:16 time: 0.8569 data_time: 0.0349 memory: 22238 grad_norm: 26.1129 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6866 loss: 1.6866 2022/07/31 06:56:44 - mmengine - INFO - Epoch(train) [8][1180/2505] lr: 2.6000e-04 eta: 1 day, 10:37:09 time: 1.0742 data_time: 0.0327 memory: 22238 grad_norm: 26.4190 top1_acc: 0.4167 top5_acc: 1.0000 loss_cls: 2.0159 loss: 2.0159 2022/07/31 06:57:00 - mmengine - INFO - Epoch(train) [8][1200/2505] lr: 2.6000e-04 eta: 1 day, 10:36:30 time: 0.8451 data_time: 0.0286 memory: 22238 grad_norm: 26.2919 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9419 loss: 1.9419 2022/07/31 06:57:22 - mmengine - INFO - Epoch(train) [8][1220/2505] lr: 2.6000e-04 eta: 1 day, 10:36:24 time: 1.0827 data_time: 0.0358 memory: 22238 grad_norm: 26.4661 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9408 loss: 1.9408 2022/07/31 06:57:40 - mmengine - INFO - Epoch(train) [8][1240/2505] lr: 2.6000e-04 eta: 1 day, 10:35:49 time: 0.8746 data_time: 0.0267 memory: 22238 grad_norm: 26.3179 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.3241 loss: 2.3241 2022/07/31 06:58:01 - mmengine - INFO - Epoch(train) [8][1260/2505] lr: 2.6000e-04 eta: 1 day, 10:35:42 time: 1.0741 data_time: 0.0345 memory: 22238 grad_norm: 26.1744 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9454 loss: 1.9454 2022/07/31 06:58:18 - mmengine - INFO - Epoch(train) [8][1280/2505] lr: 2.6000e-04 eta: 1 day, 10:35:04 time: 0.8522 data_time: 0.0256 memory: 22238 grad_norm: 26.6015 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6029 loss: 1.6029 2022/07/31 06:58:41 - mmengine - INFO - Epoch(train) [8][1300/2505] lr: 2.6000e-04 eta: 1 day, 10:35:03 time: 1.1248 data_time: 0.0286 memory: 22238 grad_norm: 26.1058 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.9784 loss: 1.9784 2022/07/31 06:58:58 - mmengine - INFO - Epoch(train) [8][1320/2505] lr: 2.6000e-04 eta: 1 day, 10:34:28 time: 0.8673 data_time: 0.0295 memory: 22238 grad_norm: 25.1839 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6700 loss: 1.6700 2022/07/31 06:59:20 - mmengine - INFO - Epoch(train) [8][1340/2505] lr: 2.6000e-04 eta: 1 day, 10:34:23 time: 1.0912 data_time: 0.0300 memory: 22238 grad_norm: 25.2074 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.4023 loss: 2.4023 2022/07/31 06:59:37 - mmengine - INFO - Epoch(train) [8][1360/2505] lr: 2.6000e-04 eta: 1 day, 10:33:45 time: 0.8537 data_time: 0.0295 memory: 22238 grad_norm: 24.3941 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8107 loss: 1.8107 2022/07/31 06:59:59 - mmengine - INFO - Epoch(train) [8][1380/2505] lr: 2.6000e-04 eta: 1 day, 10:33:42 time: 1.1068 data_time: 0.0386 memory: 22238 grad_norm: 26.4377 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9491 loss: 1.9491 2022/07/31 07:00:16 - mmengine - INFO - Epoch(train) [8][1400/2505] lr: 2.6000e-04 eta: 1 day, 10:33:08 time: 0.8738 data_time: 0.0409 memory: 22238 grad_norm: 25.5381 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0127 loss: 2.0127 2022/07/31 07:00:38 - mmengine - INFO - Epoch(train) [8][1420/2505] lr: 2.6000e-04 eta: 1 day, 10:33:02 time: 1.0873 data_time: 0.0905 memory: 22238 grad_norm: 26.1242 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9931 loss: 1.9931 2022/07/31 07:00:56 - mmengine - INFO - Epoch(train) [8][1440/2505] lr: 2.6000e-04 eta: 1 day, 10:32:32 time: 0.9080 data_time: 0.0927 memory: 22238 grad_norm: 24.1956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0437 loss: 2.0437 2022/07/31 07:01:18 - mmengine - INFO - Epoch(train) [8][1460/2505] lr: 2.6000e-04 eta: 1 day, 10:32:26 time: 1.0868 data_time: 0.0643 memory: 22238 grad_norm: 25.9897 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.9977 loss: 1.9977 2022/07/31 07:01:23 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 07:01:35 - mmengine - INFO - Epoch(train) [8][1480/2505] lr: 2.6000e-04 eta: 1 day, 10:31:48 time: 0.8526 data_time: 0.1138 memory: 22238 grad_norm: 25.0746 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9667 loss: 1.9667 2022/07/31 07:01:57 - mmengine - INFO - Epoch(train) [8][1500/2505] lr: 2.6000e-04 eta: 1 day, 10:31:43 time: 1.0918 data_time: 0.1872 memory: 22238 grad_norm: 25.0001 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1013 loss: 2.1013 2022/07/31 07:02:14 - mmengine - INFO - Epoch(train) [8][1520/2505] lr: 2.6000e-04 eta: 1 day, 10:31:07 time: 0.8630 data_time: 0.0422 memory: 22238 grad_norm: 26.2716 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0247 loss: 2.0247 2022/07/31 07:02:37 - mmengine - INFO - Epoch(train) [8][1540/2505] lr: 2.6000e-04 eta: 1 day, 10:31:05 time: 1.1145 data_time: 0.0361 memory: 22238 grad_norm: 27.2134 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.9488 loss: 1.9488 2022/07/31 07:02:54 - mmengine - INFO - Epoch(train) [8][1560/2505] lr: 2.6000e-04 eta: 1 day, 10:30:30 time: 0.8716 data_time: 0.0312 memory: 22238 grad_norm: 25.4959 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9827 loss: 1.9827 2022/07/31 07:03:16 - mmengine - INFO - Epoch(train) [8][1580/2505] lr: 2.6000e-04 eta: 1 day, 10:30:25 time: 1.0987 data_time: 0.0612 memory: 22238 grad_norm: 25.2003 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.2481 loss: 2.2481 2022/07/31 07:03:34 - mmengine - INFO - Epoch(train) [8][1600/2505] lr: 2.6000e-04 eta: 1 day, 10:29:52 time: 0.8832 data_time: 0.0875 memory: 22238 grad_norm: 26.1173 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9784 loss: 1.9784 2022/07/31 07:03:56 - mmengine - INFO - Epoch(train) [8][1620/2505] lr: 2.6000e-04 eta: 1 day, 10:29:52 time: 1.1294 data_time: 0.0476 memory: 22238 grad_norm: 26.6530 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 1.9464 loss: 1.9464 2022/07/31 07:04:12 - mmengine - INFO - Epoch(train) [8][1640/2505] lr: 2.6000e-04 eta: 1 day, 10:29:09 time: 0.8112 data_time: 0.0368 memory: 22238 grad_norm: 25.0181 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8806 loss: 1.8806 2022/07/31 07:04:34 - mmengine - INFO - Epoch(train) [8][1660/2505] lr: 2.6000e-04 eta: 1 day, 10:29:05 time: 1.1019 data_time: 0.0295 memory: 22238 grad_norm: 25.7847 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8825 loss: 1.8825 2022/07/31 07:04:52 - mmengine - INFO - Epoch(train) [8][1680/2505] lr: 2.6000e-04 eta: 1 day, 10:28:31 time: 0.8736 data_time: 0.0282 memory: 22238 grad_norm: 25.5213 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7596 loss: 1.7596 2022/07/31 07:05:14 - mmengine - INFO - Epoch(train) [8][1700/2505] lr: 2.6000e-04 eta: 1 day, 10:28:26 time: 1.1014 data_time: 0.0355 memory: 22238 grad_norm: 26.8406 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8208 loss: 1.8208 2022/07/31 07:05:32 - mmengine - INFO - Epoch(train) [8][1720/2505] lr: 2.6000e-04 eta: 1 day, 10:27:57 time: 0.9077 data_time: 0.0306 memory: 22238 grad_norm: 25.6229 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8313 loss: 1.8313 2022/07/31 07:05:53 - mmengine - INFO - Epoch(train) [8][1740/2505] lr: 2.6000e-04 eta: 1 day, 10:27:47 time: 1.0601 data_time: 0.0326 memory: 22238 grad_norm: 26.9487 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7998 loss: 1.7998 2022/07/31 07:06:11 - mmengine - INFO - Epoch(train) [8][1760/2505] lr: 2.6000e-04 eta: 1 day, 10:27:15 time: 0.8899 data_time: 0.0274 memory: 22238 grad_norm: 25.6222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2133 loss: 2.2133 2022/07/31 07:06:32 - mmengine - INFO - Epoch(train) [8][1780/2505] lr: 2.6000e-04 eta: 1 day, 10:27:06 time: 1.0670 data_time: 0.0248 memory: 22238 grad_norm: 26.5562 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.0662 loss: 2.0662 2022/07/31 07:06:51 - mmengine - INFO - Epoch(train) [8][1800/2505] lr: 2.6000e-04 eta: 1 day, 10:26:36 time: 0.9035 data_time: 0.0274 memory: 22238 grad_norm: 24.9618 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7320 loss: 1.7320 2022/07/31 07:07:12 - mmengine - INFO - Epoch(train) [8][1820/2505] lr: 2.6000e-04 eta: 1 day, 10:26:26 time: 1.0582 data_time: 0.0284 memory: 22238 grad_norm: 25.7995 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7349 loss: 1.7349 2022/07/31 07:07:30 - mmengine - INFO - Epoch(train) [8][1840/2505] lr: 2.6000e-04 eta: 1 day, 10:25:55 time: 0.9036 data_time: 0.0328 memory: 22238 grad_norm: 25.9265 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8842 loss: 1.8842 2022/07/31 07:07:51 - mmengine - INFO - Epoch(train) [8][1860/2505] lr: 2.6000e-04 eta: 1 day, 10:25:45 time: 1.0581 data_time: 0.0283 memory: 22238 grad_norm: 26.2470 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0079 loss: 2.0079 2022/07/31 07:08:08 - mmengine - INFO - Epoch(train) [8][1880/2505] lr: 2.6000e-04 eta: 1 day, 10:25:11 time: 0.8736 data_time: 0.0327 memory: 22238 grad_norm: 25.6999 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9426 loss: 1.9426 2022/07/31 07:08:30 - mmengine - INFO - Epoch(train) [8][1900/2505] lr: 2.6000e-04 eta: 1 day, 10:25:06 time: 1.0933 data_time: 0.0320 memory: 22238 grad_norm: 24.1730 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.2206 loss: 2.2206 2022/07/31 07:08:48 - mmengine - INFO - Epoch(train) [8][1920/2505] lr: 2.6000e-04 eta: 1 day, 10:24:31 time: 0.8669 data_time: 0.0334 memory: 22238 grad_norm: 26.2097 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1762 loss: 2.1762 2022/07/31 07:09:11 - mmengine - INFO - Epoch(train) [8][1940/2505] lr: 2.6000e-04 eta: 1 day, 10:24:31 time: 1.1407 data_time: 0.0274 memory: 22238 grad_norm: 24.9211 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8514 loss: 1.8514 2022/07/31 07:09:28 - mmengine - INFO - Epoch(train) [8][1960/2505] lr: 2.6000e-04 eta: 1 day, 10:23:55 time: 0.8596 data_time: 0.0350 memory: 22238 grad_norm: 25.7458 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.0345 loss: 2.0345 2022/07/31 07:09:50 - mmengine - INFO - Epoch(train) [8][1980/2505] lr: 2.6000e-04 eta: 1 day, 10:23:56 time: 1.1421 data_time: 0.0282 memory: 22238 grad_norm: 25.4065 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7773 loss: 1.7773 2022/07/31 07:10:08 - mmengine - INFO - Epoch(train) [8][2000/2505] lr: 2.6000e-04 eta: 1 day, 10:23:23 time: 0.8812 data_time: 0.0280 memory: 22238 grad_norm: 26.6997 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9021 loss: 1.9021 2022/07/31 07:10:30 - mmengine - INFO - Epoch(train) [8][2020/2505] lr: 2.6000e-04 eta: 1 day, 10:23:20 time: 1.1149 data_time: 0.0269 memory: 22238 grad_norm: 25.7108 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.0275 loss: 2.0275 2022/07/31 07:10:48 - mmengine - INFO - Epoch(train) [8][2040/2505] lr: 2.6000e-04 eta: 1 day, 10:22:47 time: 0.8810 data_time: 0.0392 memory: 22238 grad_norm: 25.1853 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0398 loss: 2.0398 2022/07/31 07:11:09 - mmengine - INFO - Epoch(train) [8][2060/2505] lr: 2.6000e-04 eta: 1 day, 10:22:39 time: 1.0733 data_time: 0.0285 memory: 22238 grad_norm: 24.7513 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8163 loss: 1.8163 2022/07/31 07:11:27 - mmengine - INFO - Epoch(train) [8][2080/2505] lr: 2.6000e-04 eta: 1 day, 10:22:03 time: 0.8619 data_time: 0.0306 memory: 22238 grad_norm: 25.2268 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9046 loss: 1.9046 2022/07/31 07:11:49 - mmengine - INFO - Epoch(train) [8][2100/2505] lr: 2.6000e-04 eta: 1 day, 10:22:00 time: 1.1100 data_time: 0.0296 memory: 22238 grad_norm: 25.8369 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.2230 loss: 2.2230 2022/07/31 07:12:06 - mmengine - INFO - Epoch(train) [8][2120/2505] lr: 2.6000e-04 eta: 1 day, 10:21:22 time: 0.8457 data_time: 0.0298 memory: 22238 grad_norm: 25.6223 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8085 loss: 1.8085 2022/07/31 07:12:27 - mmengine - INFO - Epoch(train) [8][2140/2505] lr: 2.6000e-04 eta: 1 day, 10:21:14 time: 1.0700 data_time: 0.0276 memory: 22238 grad_norm: 26.1956 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1404 loss: 2.1404 2022/07/31 07:12:45 - mmengine - INFO - Epoch(train) [8][2160/2505] lr: 2.6000e-04 eta: 1 day, 10:20:38 time: 0.8640 data_time: 0.0289 memory: 22238 grad_norm: 26.1316 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0419 loss: 2.0419 2022/07/31 07:13:06 - mmengine - INFO - Epoch(train) [8][2180/2505] lr: 2.6000e-04 eta: 1 day, 10:20:31 time: 1.0797 data_time: 0.0285 memory: 22238 grad_norm: 24.8545 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8165 loss: 1.8165 2022/07/31 07:13:24 - mmengine - INFO - Epoch(train) [8][2200/2505] lr: 2.6000e-04 eta: 1 day, 10:19:58 time: 0.8784 data_time: 0.0362 memory: 22238 grad_norm: 24.0552 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9100 loss: 1.9100 2022/07/31 07:13:47 - mmengine - INFO - Epoch(train) [8][2220/2505] lr: 2.6000e-04 eta: 1 day, 10:19:58 time: 1.1438 data_time: 0.0306 memory: 22238 grad_norm: 25.9289 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8950 loss: 1.8950 2022/07/31 07:14:04 - mmengine - INFO - Epoch(train) [8][2240/2505] lr: 2.6000e-04 eta: 1 day, 10:19:24 time: 0.8686 data_time: 0.0293 memory: 22238 grad_norm: 26.2206 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9584 loss: 1.9584 2022/07/31 07:14:25 - mmengine - INFO - Epoch(train) [8][2260/2505] lr: 2.6000e-04 eta: 1 day, 10:19:14 time: 1.0586 data_time: 0.0282 memory: 22238 grad_norm: 25.2044 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9115 loss: 1.9115 2022/07/31 07:14:44 - mmengine - INFO - Epoch(train) [8][2280/2505] lr: 2.6000e-04 eta: 1 day, 10:18:51 time: 0.9655 data_time: 0.0294 memory: 22238 grad_norm: 25.4108 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7938 loss: 1.7938 2022/07/31 07:15:04 - mmengine - INFO - Epoch(train) [8][2300/2505] lr: 2.6000e-04 eta: 1 day, 10:18:33 time: 0.9963 data_time: 0.0274 memory: 22238 grad_norm: 24.9367 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.9018 loss: 1.9018 2022/07/31 07:15:25 - mmengine - INFO - Epoch(train) [8][2320/2505] lr: 2.6000e-04 eta: 1 day, 10:18:19 time: 1.0289 data_time: 0.0274 memory: 22238 grad_norm: 26.5242 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0000 loss: 2.0000 2022/07/31 07:15:44 - mmengine - INFO - Epoch(train) [8][2340/2505] lr: 2.6000e-04 eta: 1 day, 10:17:58 time: 0.9727 data_time: 0.0279 memory: 22238 grad_norm: 24.9245 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9480 loss: 1.9480 2022/07/31 07:16:05 - mmengine - INFO - Epoch(train) [8][2360/2505] lr: 2.6000e-04 eta: 1 day, 10:17:41 time: 1.0077 data_time: 0.0270 memory: 22238 grad_norm: 25.8124 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8040 loss: 1.8040 2022/07/31 07:16:24 - mmengine - INFO - Epoch(train) [8][2380/2505] lr: 2.6000e-04 eta: 1 day, 10:17:17 time: 0.9494 data_time: 0.0277 memory: 22238 grad_norm: 25.7745 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 2.1238 loss: 2.1238 2022/07/31 07:16:43 - mmengine - INFO - Epoch(train) [8][2400/2505] lr: 2.6000e-04 eta: 1 day, 10:16:59 time: 0.9977 data_time: 0.0274 memory: 22238 grad_norm: 25.4716 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8279 loss: 1.8279 2022/07/31 07:17:02 - mmengine - INFO - Epoch(train) [8][2420/2505] lr: 2.6000e-04 eta: 1 day, 10:16:32 time: 0.9224 data_time: 0.0273 memory: 22238 grad_norm: 24.9807 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8044 loss: 1.8044 2022/07/31 07:17:23 - mmengine - INFO - Epoch(train) [8][2440/2505] lr: 2.6000e-04 eta: 1 day, 10:16:20 time: 1.0523 data_time: 0.0287 memory: 22238 grad_norm: 26.7715 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9251 loss: 1.9251 2022/07/31 07:17:41 - mmengine - INFO - Epoch(train) [8][2460/2505] lr: 2.6000e-04 eta: 1 day, 10:15:53 time: 0.9228 data_time: 0.0280 memory: 22238 grad_norm: 25.7794 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.1171 loss: 2.1171 2022/07/31 07:17:47 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 07:18:02 - mmengine - INFO - Epoch(train) [8][2480/2505] lr: 2.6000e-04 eta: 1 day, 10:15:41 time: 1.0436 data_time: 0.0279 memory: 22238 grad_norm: 26.2237 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0236 loss: 2.0236 2022/07/31 07:18:18 - mmengine - INFO - Epoch(train) [8][2500/2505] lr: 2.6000e-04 eta: 1 day, 10:14:53 time: 0.7634 data_time: 0.0291 memory: 22238 grad_norm: 25.8461 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7372 loss: 1.7372 2022/07/31 07:18:20 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 07:18:20 - mmengine - INFO - Epoch(train) [8][2505/2505] lr: 2.6000e-04 eta: 1 day, 10:14:53 time: 0.6551 data_time: 0.0205 memory: 22238 grad_norm: 26.6684 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7518 loss: 1.7518 2022/07/31 07:18:20 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/07/31 07:18:48 - mmengine - INFO - Epoch(train) [9][20/2505] lr: 2.9000e-04 eta: 1 day, 10:14:35 time: 1.2773 data_time: 0.8808 memory: 22238 grad_norm: 26.3017 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6998 loss: 1.6998 2022/07/31 07:19:05 - mmengine - INFO - Epoch(train) [9][40/2505] lr: 2.9000e-04 eta: 1 day, 10:14:01 time: 0.8741 data_time: 0.4807 memory: 22238 grad_norm: 26.1818 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0765 loss: 2.0765 2022/07/31 07:19:27 - mmengine - INFO - Epoch(train) [9][60/2505] lr: 2.9000e-04 eta: 1 day, 10:13:56 time: 1.1012 data_time: 0.6999 memory: 22238 grad_norm: 25.2833 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8915 loss: 1.8915 2022/07/31 07:19:44 - mmengine - INFO - Epoch(train) [9][80/2505] lr: 2.9000e-04 eta: 1 day, 10:13:20 time: 0.8571 data_time: 0.4628 memory: 22238 grad_norm: 26.1884 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.1434 loss: 2.1434 2022/07/31 07:20:07 - mmengine - INFO - Epoch(train) [9][100/2505] lr: 2.9000e-04 eta: 1 day, 10:13:20 time: 1.1393 data_time: 0.7501 memory: 22238 grad_norm: 25.8567 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.0831 loss: 2.0831 2022/07/31 07:20:25 - mmengine - INFO - Epoch(train) [9][120/2505] lr: 2.9000e-04 eta: 1 day, 10:12:48 time: 0.8866 data_time: 0.4952 memory: 22238 grad_norm: 27.3644 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6877 loss: 1.6877 2022/07/31 07:20:46 - mmengine - INFO - Epoch(train) [9][140/2505] lr: 2.9000e-04 eta: 1 day, 10:12:42 time: 1.0911 data_time: 0.6891 memory: 22238 grad_norm: 26.7671 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7508 loss: 1.7508 2022/07/31 07:21:04 - mmengine - INFO - Epoch(train) [9][160/2505] lr: 2.9000e-04 eta: 1 day, 10:12:07 time: 0.8627 data_time: 0.4740 memory: 22238 grad_norm: 26.3070 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8948 loss: 1.8948 2022/07/31 07:21:26 - mmengine - INFO - Epoch(train) [9][180/2505] lr: 2.9000e-04 eta: 1 day, 10:12:05 time: 1.1303 data_time: 0.7374 memory: 22238 grad_norm: 24.9296 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.0501 loss: 2.0501 2022/07/31 07:21:45 - mmengine - INFO - Epoch(train) [9][200/2505] lr: 2.9000e-04 eta: 1 day, 10:11:37 time: 0.9103 data_time: 0.5075 memory: 22238 grad_norm: 25.6562 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.2027 loss: 2.2027 2022/07/31 07:22:05 - mmengine - INFO - Epoch(train) [9][220/2505] lr: 2.9000e-04 eta: 1 day, 10:11:22 time: 1.0259 data_time: 0.6412 memory: 22238 grad_norm: 24.8910 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9173 loss: 1.9173 2022/07/31 07:22:23 - mmengine - INFO - Epoch(train) [9][240/2505] lr: 2.9000e-04 eta: 1 day, 10:10:51 time: 0.8910 data_time: 0.4676 memory: 22238 grad_norm: 26.2173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9617 loss: 1.9617 2022/07/31 07:22:44 - mmengine - INFO - Epoch(train) [9][260/2505] lr: 2.9000e-04 eta: 1 day, 10:10:42 time: 1.0695 data_time: 0.6475 memory: 22238 grad_norm: 25.6693 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6869 loss: 1.6869 2022/07/31 07:23:02 - mmengine - INFO - Epoch(train) [9][280/2505] lr: 2.9000e-04 eta: 1 day, 10:10:12 time: 0.9046 data_time: 0.4963 memory: 22238 grad_norm: 25.0579 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8481 loss: 1.8481 2022/07/31 07:23:24 - mmengine - INFO - Epoch(train) [9][300/2505] lr: 2.9000e-04 eta: 1 day, 10:10:03 time: 1.0703 data_time: 0.6710 memory: 22238 grad_norm: 25.0125 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6623 loss: 1.6623 2022/07/31 07:23:41 - mmengine - INFO - Epoch(train) [9][320/2505] lr: 2.9000e-04 eta: 1 day, 10:09:30 time: 0.8741 data_time: 0.4491 memory: 22238 grad_norm: 24.9219 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8259 loss: 1.8259 2022/07/31 07:24:03 - mmengine - INFO - Epoch(train) [9][340/2505] lr: 2.9000e-04 eta: 1 day, 10:09:20 time: 1.0646 data_time: 0.6112 memory: 22238 grad_norm: 25.5586 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7140 loss: 1.7140 2022/07/31 07:24:20 - mmengine - INFO - Epoch(train) [9][360/2505] lr: 2.9000e-04 eta: 1 day, 10:08:48 time: 0.8812 data_time: 0.4073 memory: 22238 grad_norm: 26.2323 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6194 loss: 1.6194 2022/07/31 07:24:42 - mmengine - INFO - Epoch(train) [9][380/2505] lr: 2.9000e-04 eta: 1 day, 10:08:41 time: 1.0908 data_time: 0.5353 memory: 22238 grad_norm: 25.4094 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7732 loss: 1.7732 2022/07/31 07:25:00 - mmengine - INFO - Epoch(train) [9][400/2505] lr: 2.9000e-04 eta: 1 day, 10:08:12 time: 0.9066 data_time: 0.4011 memory: 22238 grad_norm: 26.3273 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8679 loss: 1.8679 2022/07/31 07:25:23 - mmengine - INFO - Epoch(train) [9][420/2505] lr: 2.9000e-04 eta: 1 day, 10:08:09 time: 1.1251 data_time: 0.5694 memory: 22238 grad_norm: 25.7766 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7895 loss: 1.7895 2022/07/31 07:25:40 - mmengine - INFO - Epoch(train) [9][440/2505] lr: 2.9000e-04 eta: 1 day, 10:07:38 time: 0.8885 data_time: 0.4616 memory: 22238 grad_norm: 24.8391 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8654 loss: 1.8654 2022/07/31 07:26:03 - mmengine - INFO - Epoch(train) [9][460/2505] lr: 2.9000e-04 eta: 1 day, 10:07:32 time: 1.1013 data_time: 0.7115 memory: 22238 grad_norm: 24.9112 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7783 loss: 1.7783 2022/07/31 07:26:20 - mmengine - INFO - Epoch(train) [9][480/2505] lr: 2.9000e-04 eta: 1 day, 10:06:57 time: 0.8589 data_time: 0.4507 memory: 22238 grad_norm: 26.3887 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0344 loss: 2.0344 2022/07/31 07:26:41 - mmengine - INFO - Epoch(train) [9][500/2505] lr: 2.9000e-04 eta: 1 day, 10:06:48 time: 1.0710 data_time: 0.6725 memory: 22238 grad_norm: 24.5758 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0771 loss: 2.0771 2022/07/31 07:26:58 - mmengine - INFO - Epoch(train) [9][520/2505] lr: 2.9000e-04 eta: 1 day, 10:06:09 time: 0.8276 data_time: 0.3817 memory: 22238 grad_norm: 24.7936 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9210 loss: 1.9210 2022/07/31 07:27:20 - mmengine - INFO - Epoch(train) [9][540/2505] lr: 2.9000e-04 eta: 1 day, 10:06:04 time: 1.0986 data_time: 0.5479 memory: 22238 grad_norm: 25.2191 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0793 loss: 2.0793 2022/07/31 07:27:38 - mmengine - INFO - Epoch(train) [9][560/2505] lr: 2.9000e-04 eta: 1 day, 10:05:34 time: 0.9013 data_time: 0.4589 memory: 22238 grad_norm: 25.6621 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9481 loss: 1.9481 2022/07/31 07:28:00 - mmengine - INFO - Epoch(train) [9][580/2505] lr: 2.9000e-04 eta: 1 day, 10:05:29 time: 1.1103 data_time: 0.5773 memory: 22238 grad_norm: 25.7208 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7525 loss: 1.7525 2022/07/31 07:28:17 - mmengine - INFO - Epoch(train) [9][600/2505] lr: 2.9000e-04 eta: 1 day, 10:04:57 time: 0.8825 data_time: 0.4357 memory: 22238 grad_norm: 26.4493 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9061 loss: 1.9061 2022/07/31 07:28:40 - mmengine - INFO - Epoch(train) [9][620/2505] lr: 2.9000e-04 eta: 1 day, 10:04:55 time: 1.1248 data_time: 0.6231 memory: 22238 grad_norm: 25.3340 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9884 loss: 1.9884 2022/07/31 07:28:58 - mmengine - INFO - Epoch(train) [9][640/2505] lr: 2.9000e-04 eta: 1 day, 10:04:22 time: 0.8803 data_time: 0.4301 memory: 22238 grad_norm: 26.1715 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.0411 loss: 2.0411 2022/07/31 07:29:19 - mmengine - INFO - Epoch(train) [9][660/2505] lr: 2.9000e-04 eta: 1 day, 10:04:13 time: 1.0663 data_time: 0.4164 memory: 22238 grad_norm: 25.5652 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8980 loss: 1.8980 2022/07/31 07:29:37 - mmengine - INFO - Epoch(train) [9][680/2505] lr: 2.9000e-04 eta: 1 day, 10:03:41 time: 0.8887 data_time: 0.2320 memory: 22238 grad_norm: 24.7753 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9712 loss: 1.9712 2022/07/31 07:29:57 - mmengine - INFO - Epoch(train) [9][700/2505] lr: 2.9000e-04 eta: 1 day, 10:03:28 time: 1.0343 data_time: 0.2118 memory: 22238 grad_norm: 25.6929 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7977 loss: 1.7977 2022/07/31 07:30:17 - mmengine - INFO - Epoch(train) [9][720/2505] lr: 2.9000e-04 eta: 1 day, 10:03:05 time: 0.9580 data_time: 0.2551 memory: 22238 grad_norm: 25.7930 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8404 loss: 1.8404 2022/07/31 07:30:37 - mmengine - INFO - Epoch(train) [9][740/2505] lr: 2.9000e-04 eta: 1 day, 10:02:50 time: 1.0236 data_time: 0.1646 memory: 22238 grad_norm: 25.5431 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0253 loss: 2.0253 2022/07/31 07:30:56 - mmengine - INFO - Epoch(train) [9][760/2505] lr: 2.9000e-04 eta: 1 day, 10:02:26 time: 0.9505 data_time: 0.3478 memory: 22238 grad_norm: 24.8987 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.0757 loss: 2.0757 2022/07/31 07:31:17 - mmengine - INFO - Epoch(train) [9][780/2505] lr: 2.9000e-04 eta: 1 day, 10:02:17 time: 1.0721 data_time: 0.4670 memory: 22238 grad_norm: 26.2123 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.1219 loss: 2.1219 2022/07/31 07:31:36 - mmengine - INFO - Epoch(train) [9][800/2505] lr: 2.9000e-04 eta: 1 day, 10:01:51 time: 0.9336 data_time: 0.4421 memory: 22238 grad_norm: 25.7121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8033 loss: 1.8033 2022/07/31 07:31:56 - mmengine - INFO - Epoch(train) [9][820/2505] lr: 2.9000e-04 eta: 1 day, 10:01:33 time: 0.9970 data_time: 0.4755 memory: 22238 grad_norm: 25.5787 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8368 loss: 1.8368 2022/07/31 07:32:16 - mmengine - INFO - Epoch(train) [9][840/2505] lr: 2.9000e-04 eta: 1 day, 10:01:12 time: 0.9769 data_time: 0.5040 memory: 22238 grad_norm: 25.6284 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.7806 loss: 1.7806 2022/07/31 07:32:35 - mmengine - INFO - Epoch(train) [9][860/2505] lr: 2.9000e-04 eta: 1 day, 10:00:51 time: 0.9731 data_time: 0.4543 memory: 22238 grad_norm: 25.2584 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8447 loss: 1.8447 2022/07/31 07:32:55 - mmengine - INFO - Epoch(train) [9][880/2505] lr: 2.9000e-04 eta: 1 day, 10:00:31 time: 0.9803 data_time: 0.4297 memory: 22238 grad_norm: 26.5929 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0587 loss: 2.0587 2022/07/31 07:33:14 - mmengine - INFO - Epoch(train) [9][900/2505] lr: 2.9000e-04 eta: 1 day, 10:00:09 time: 0.9618 data_time: 0.3261 memory: 22238 grad_norm: 24.9733 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8578 loss: 1.8578 2022/07/31 07:33:34 - mmengine - INFO - Epoch(train) [9][920/2505] lr: 2.9000e-04 eta: 1 day, 9:59:52 time: 1.0093 data_time: 0.4077 memory: 22238 grad_norm: 25.6883 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9725 loss: 1.9725 2022/07/31 07:33:53 - mmengine - INFO - Epoch(train) [9][940/2505] lr: 2.9000e-04 eta: 1 day, 9:59:30 time: 0.9639 data_time: 0.3129 memory: 22238 grad_norm: 25.8309 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9132 loss: 1.9132 2022/07/31 07:34:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 07:34:14 - mmengine - INFO - Epoch(train) [9][960/2505] lr: 2.9000e-04 eta: 1 day, 9:59:14 time: 1.0157 data_time: 0.4358 memory: 22238 grad_norm: 25.3444 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.1731 loss: 2.1731 2022/07/31 07:34:33 - mmengine - INFO - Epoch(train) [9][980/2505] lr: 2.9000e-04 eta: 1 day, 9:58:51 time: 0.9592 data_time: 0.2931 memory: 22238 grad_norm: 25.7193 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1164 loss: 2.1164 2022/07/31 07:34:53 - mmengine - INFO - Epoch(train) [9][1000/2505] lr: 2.9000e-04 eta: 1 day, 9:58:31 time: 0.9826 data_time: 0.3818 memory: 22238 grad_norm: 24.4530 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8818 loss: 1.8818 2022/07/31 07:35:13 - mmengine - INFO - Epoch(train) [9][1020/2505] lr: 2.9000e-04 eta: 1 day, 9:58:14 time: 0.9999 data_time: 0.4538 memory: 22238 grad_norm: 25.3631 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6806 loss: 1.6806 2022/07/31 07:35:32 - mmengine - INFO - Epoch(train) [9][1040/2505] lr: 2.9000e-04 eta: 1 day, 9:57:54 time: 0.9863 data_time: 0.4736 memory: 22238 grad_norm: 24.1258 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8802 loss: 1.8802 2022/07/31 07:35:52 - mmengine - INFO - Epoch(train) [9][1060/2505] lr: 2.9000e-04 eta: 1 day, 9:57:34 time: 0.9772 data_time: 0.4902 memory: 22238 grad_norm: 25.3238 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9747 loss: 1.9747 2022/07/31 07:36:11 - mmengine - INFO - Epoch(train) [9][1080/2505] lr: 2.9000e-04 eta: 1 day, 9:57:10 time: 0.9472 data_time: 0.4827 memory: 22238 grad_norm: 26.5975 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7948 loss: 1.7948 2022/07/31 07:36:31 - mmengine - INFO - Epoch(train) [9][1100/2505] lr: 2.9000e-04 eta: 1 day, 9:56:51 time: 0.9908 data_time: 0.4966 memory: 22238 grad_norm: 24.2969 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5413 loss: 1.5413 2022/07/31 07:36:50 - mmengine - INFO - Epoch(train) [9][1120/2505] lr: 2.9000e-04 eta: 1 day, 9:56:27 time: 0.9475 data_time: 0.4690 memory: 22238 grad_norm: 25.4508 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9540 loss: 1.9540 2022/07/31 07:37:09 - mmengine - INFO - Epoch(train) [9][1140/2505] lr: 2.9000e-04 eta: 1 day, 9:56:07 time: 0.9868 data_time: 0.5384 memory: 22238 grad_norm: 26.3696 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0846 loss: 2.0846 2022/07/31 07:37:30 - mmengine - INFO - Epoch(train) [9][1160/2505] lr: 2.9000e-04 eta: 1 day, 9:55:51 time: 1.0181 data_time: 0.5480 memory: 22238 grad_norm: 25.0172 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 2.0420 loss: 2.0420 2022/07/31 07:37:48 - mmengine - INFO - Epoch(train) [9][1180/2505] lr: 2.9000e-04 eta: 1 day, 9:55:26 time: 0.9362 data_time: 0.3240 memory: 22238 grad_norm: 26.1676 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.2129 loss: 2.2129 2022/07/31 07:38:09 - mmengine - INFO - Epoch(train) [9][1200/2505] lr: 2.9000e-04 eta: 1 day, 9:55:11 time: 1.0247 data_time: 0.5370 memory: 22238 grad_norm: 25.3607 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0040 loss: 2.0040 2022/07/31 07:38:28 - mmengine - INFO - Epoch(train) [9][1220/2505] lr: 2.9000e-04 eta: 1 day, 9:54:51 time: 0.9827 data_time: 0.3022 memory: 22238 grad_norm: 25.6610 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8481 loss: 1.8481 2022/07/31 07:38:49 - mmengine - INFO - Epoch(train) [9][1240/2505] lr: 2.9000e-04 eta: 1 day, 9:54:35 time: 1.0117 data_time: 0.3739 memory: 22238 grad_norm: 25.6214 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1645 loss: 2.1645 2022/07/31 07:39:08 - mmengine - INFO - Epoch(train) [9][1260/2505] lr: 2.9000e-04 eta: 1 day, 9:54:15 time: 0.9828 data_time: 0.2541 memory: 22238 grad_norm: 25.2214 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8750 loss: 1.8750 2022/07/31 07:39:28 - mmengine - INFO - Epoch(train) [9][1280/2505] lr: 2.9000e-04 eta: 1 day, 9:53:54 time: 0.9765 data_time: 0.2847 memory: 22238 grad_norm: 26.1038 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8683 loss: 1.8683 2022/07/31 07:39:48 - mmengine - INFO - Epoch(train) [9][1300/2505] lr: 2.9000e-04 eta: 1 day, 9:53:35 time: 0.9852 data_time: 0.1815 memory: 22238 grad_norm: 26.4229 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.9032 loss: 1.9032 2022/07/31 07:40:07 - mmengine - INFO - Epoch(train) [9][1320/2505] lr: 2.9000e-04 eta: 1 day, 9:53:11 time: 0.9468 data_time: 0.2489 memory: 22238 grad_norm: 24.5400 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8836 loss: 1.8836 2022/07/31 07:40:28 - mmengine - INFO - Epoch(train) [9][1340/2505] lr: 2.9000e-04 eta: 1 day, 9:53:01 time: 1.0702 data_time: 0.0868 memory: 22238 grad_norm: 24.0431 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7543 loss: 1.7543 2022/07/31 07:40:46 - mmengine - INFO - Epoch(train) [9][1360/2505] lr: 2.9000e-04 eta: 1 day, 9:52:32 time: 0.9049 data_time: 0.1094 memory: 22238 grad_norm: 25.1000 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8930 loss: 1.8930 2022/07/31 07:41:07 - mmengine - INFO - Epoch(train) [9][1380/2505] lr: 2.9000e-04 eta: 1 day, 9:52:19 time: 1.0452 data_time: 0.1077 memory: 22238 grad_norm: 26.2582 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.7930 loss: 1.7930 2022/07/31 07:41:25 - mmengine - INFO - Epoch(train) [9][1400/2505] lr: 2.9000e-04 eta: 1 day, 9:51:50 time: 0.8978 data_time: 0.0320 memory: 22238 grad_norm: 25.6975 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.1686 loss: 2.1686 2022/07/31 07:41:47 - mmengine - INFO - Epoch(train) [9][1420/2505] lr: 2.9000e-04 eta: 1 day, 9:51:43 time: 1.1001 data_time: 0.0324 memory: 22238 grad_norm: 26.2521 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1211 loss: 2.1211 2022/07/31 07:42:04 - mmengine - INFO - Epoch(train) [9][1440/2505] lr: 2.9000e-04 eta: 1 day, 9:51:10 time: 0.8634 data_time: 0.0270 memory: 22238 grad_norm: 24.9314 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8478 loss: 1.8478 2022/07/31 07:42:26 - mmengine - INFO - Epoch(train) [9][1460/2505] lr: 2.9000e-04 eta: 1 day, 9:51:04 time: 1.1018 data_time: 0.0322 memory: 22238 grad_norm: 25.1746 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 1.9831 loss: 1.9831 2022/07/31 07:42:44 - mmengine - INFO - Epoch(train) [9][1480/2505] lr: 2.9000e-04 eta: 1 day, 9:50:35 time: 0.9041 data_time: 0.0292 memory: 22238 grad_norm: 24.6949 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0620 loss: 2.0620 2022/07/31 07:43:06 - mmengine - INFO - Epoch(train) [9][1500/2505] lr: 2.9000e-04 eta: 1 day, 9:50:29 time: 1.1038 data_time: 0.0308 memory: 22238 grad_norm: 25.7985 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6456 loss: 1.6456 2022/07/31 07:43:24 - mmengine - INFO - Epoch(train) [9][1520/2505] lr: 2.9000e-04 eta: 1 day, 9:49:55 time: 0.8630 data_time: 0.0280 memory: 22238 grad_norm: 26.1463 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0121 loss: 2.0121 2022/07/31 07:43:45 - mmengine - INFO - Epoch(train) [9][1540/2505] lr: 2.9000e-04 eta: 1 day, 9:49:42 time: 1.0452 data_time: 0.0317 memory: 22238 grad_norm: 24.8123 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0185 loss: 2.0185 2022/07/31 07:44:02 - mmengine - INFO - Epoch(train) [9][1560/2505] lr: 2.9000e-04 eta: 1 day, 9:49:11 time: 0.8849 data_time: 0.0265 memory: 22238 grad_norm: 25.3098 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8833 loss: 1.8833 2022/07/31 07:44:24 - mmengine - INFO - Epoch(train) [9][1580/2505] lr: 2.9000e-04 eta: 1 day, 9:49:03 time: 1.0835 data_time: 0.0278 memory: 22238 grad_norm: 25.4471 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9329 loss: 1.9329 2022/07/31 07:44:41 - mmengine - INFO - Epoch(train) [9][1600/2505] lr: 2.9000e-04 eta: 1 day, 9:48:28 time: 0.8550 data_time: 0.0293 memory: 22238 grad_norm: 25.4131 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1738 loss: 2.1738 2022/07/31 07:45:04 - mmengine - INFO - Epoch(train) [9][1620/2505] lr: 2.9000e-04 eta: 1 day, 9:48:26 time: 1.1388 data_time: 0.0281 memory: 22238 grad_norm: 26.0182 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 2.1398 loss: 2.1398 2022/07/31 07:45:21 - mmengine - INFO - Epoch(train) [9][1640/2505] lr: 2.9000e-04 eta: 1 day, 9:47:55 time: 0.8826 data_time: 0.0326 memory: 22238 grad_norm: 26.1735 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0487 loss: 2.0487 2022/07/31 07:45:43 - mmengine - INFO - Epoch(train) [9][1660/2505] lr: 2.9000e-04 eta: 1 day, 9:47:45 time: 1.0712 data_time: 0.0285 memory: 22238 grad_norm: 25.4577 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9050 loss: 1.9050 2022/07/31 07:46:00 - mmengine - INFO - Epoch(train) [9][1680/2505] lr: 2.9000e-04 eta: 1 day, 9:47:13 time: 0.8703 data_time: 0.0298 memory: 22238 grad_norm: 24.9338 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0125 loss: 2.0125 2022/07/31 07:46:23 - mmengine - INFO - Epoch(train) [9][1700/2505] lr: 2.9000e-04 eta: 1 day, 9:47:10 time: 1.1312 data_time: 0.0283 memory: 22238 grad_norm: 24.4592 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8517 loss: 1.8517 2022/07/31 07:46:40 - mmengine - INFO - Epoch(train) [9][1720/2505] lr: 2.9000e-04 eta: 1 day, 9:46:34 time: 0.8439 data_time: 0.0316 memory: 22238 grad_norm: 24.0789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1093 loss: 2.1093 2022/07/31 07:47:02 - mmengine - INFO - Epoch(train) [9][1740/2505] lr: 2.9000e-04 eta: 1 day, 9:46:30 time: 1.1232 data_time: 0.0275 memory: 22238 grad_norm: 24.9679 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5945 loss: 1.5945 2022/07/31 07:47:20 - mmengine - INFO - Epoch(train) [9][1760/2505] lr: 2.9000e-04 eta: 1 day, 9:45:58 time: 0.8801 data_time: 0.0338 memory: 22238 grad_norm: 25.6919 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 1.8419 loss: 1.8419 2022/07/31 07:47:41 - mmengine - INFO - Epoch(train) [9][1780/2505] lr: 2.9000e-04 eta: 1 day, 9:45:48 time: 1.0663 data_time: 0.0301 memory: 22238 grad_norm: 24.3527 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9679 loss: 1.9679 2022/07/31 07:47:59 - mmengine - INFO - Epoch(train) [9][1800/2505] lr: 2.9000e-04 eta: 1 day, 9:45:18 time: 0.8952 data_time: 0.0280 memory: 22238 grad_norm: 24.1056 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9082 loss: 1.9082 2022/07/31 07:48:21 - mmengine - INFO - Epoch(train) [9][1820/2505] lr: 2.9000e-04 eta: 1 day, 9:45:11 time: 1.0944 data_time: 0.0295 memory: 22238 grad_norm: 25.2151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7775 loss: 1.7775 2022/07/31 07:48:38 - mmengine - INFO - Epoch(train) [9][1840/2505] lr: 2.9000e-04 eta: 1 day, 9:44:36 time: 0.8443 data_time: 0.0295 memory: 22238 grad_norm: 24.9010 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8771 loss: 1.8771 2022/07/31 07:49:00 - mmengine - INFO - Epoch(train) [9][1860/2505] lr: 2.9000e-04 eta: 1 day, 9:44:29 time: 1.0999 data_time: 0.0299 memory: 22238 grad_norm: 25.5568 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9151 loss: 1.9151 2022/07/31 07:49:18 - mmengine - INFO - Epoch(train) [9][1880/2505] lr: 2.9000e-04 eta: 1 day, 9:43:59 time: 0.8909 data_time: 0.0283 memory: 22238 grad_norm: 24.5038 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9457 loss: 1.9457 2022/07/31 07:49:39 - mmengine - INFO - Epoch(train) [9][1900/2505] lr: 2.9000e-04 eta: 1 day, 9:43:49 time: 1.0722 data_time: 0.0280 memory: 22238 grad_norm: 24.7653 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.8680 loss: 1.8680 2022/07/31 07:49:57 - mmengine - INFO - Epoch(train) [9][1920/2505] lr: 2.9000e-04 eta: 1 day, 9:43:18 time: 0.8857 data_time: 0.0280 memory: 22238 grad_norm: 25.0756 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0219 loss: 2.0219 2022/07/31 07:50:19 - mmengine - INFO - Epoch(train) [9][1940/2505] lr: 2.9000e-04 eta: 1 day, 9:43:15 time: 1.1291 data_time: 0.0294 memory: 22238 grad_norm: 25.3696 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8317 loss: 1.8317 2022/07/31 07:50:37 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 07:50:37 - mmengine - INFO - Epoch(train) [9][1960/2505] lr: 2.9000e-04 eta: 1 day, 9:42:43 time: 0.8756 data_time: 0.0285 memory: 22238 grad_norm: 27.1367 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1348 loss: 2.1348 2022/07/31 07:50:59 - mmengine - INFO - Epoch(train) [9][1980/2505] lr: 2.9000e-04 eta: 1 day, 9:42:34 time: 1.0840 data_time: 0.0295 memory: 22238 grad_norm: 24.5316 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9423 loss: 1.9423 2022/07/31 07:51:17 - mmengine - INFO - Epoch(train) [9][2000/2505] lr: 2.9000e-04 eta: 1 day, 9:42:05 time: 0.8979 data_time: 0.0295 memory: 22238 grad_norm: 26.3887 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0122 loss: 2.0122 2022/07/31 07:51:37 - mmengine - INFO - Epoch(train) [9][2020/2505] lr: 2.9000e-04 eta: 1 day, 9:41:52 time: 1.0415 data_time: 0.0279 memory: 22238 grad_norm: 24.6388 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.0336 loss: 2.0336 2022/07/31 07:51:55 - mmengine - INFO - Epoch(train) [9][2040/2505] lr: 2.9000e-04 eta: 1 day, 9:41:20 time: 0.8766 data_time: 0.0289 memory: 22238 grad_norm: 25.8080 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8952 loss: 1.8952 2022/07/31 07:52:18 - mmengine - INFO - Epoch(train) [9][2060/2505] lr: 2.9000e-04 eta: 1 day, 9:41:19 time: 1.1497 data_time: 0.0309 memory: 22238 grad_norm: 25.1802 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0293 loss: 2.0293 2022/07/31 07:52:35 - mmengine - INFO - Epoch(train) [9][2080/2505] lr: 2.9000e-04 eta: 1 day, 9:40:44 time: 0.8489 data_time: 0.0321 memory: 22238 grad_norm: 23.7234 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7473 loss: 1.7473 2022/07/31 07:52:57 - mmengine - INFO - Epoch(train) [9][2100/2505] lr: 2.9000e-04 eta: 1 day, 9:40:35 time: 1.0855 data_time: 0.0323 memory: 22238 grad_norm: 24.7477 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7263 loss: 1.7263 2022/07/31 07:53:14 - mmengine - INFO - Epoch(train) [9][2120/2505] lr: 2.9000e-04 eta: 1 day, 9:40:02 time: 0.8606 data_time: 0.0302 memory: 22238 grad_norm: 24.9312 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.0007 loss: 2.0007 2022/07/31 07:53:36 - mmengine - INFO - Epoch(train) [9][2140/2505] lr: 2.9000e-04 eta: 1 day, 9:39:55 time: 1.0973 data_time: 0.0316 memory: 22238 grad_norm: 24.5653 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7917 loss: 1.7917 2022/07/31 07:53:53 - mmengine - INFO - Epoch(train) [9][2160/2505] lr: 2.9000e-04 eta: 1 day, 9:39:20 time: 0.8512 data_time: 0.0284 memory: 22238 grad_norm: 25.4600 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.3408 loss: 2.3408 2022/07/31 07:54:14 - mmengine - INFO - Epoch(train) [9][2180/2505] lr: 2.9000e-04 eta: 1 day, 9:39:10 time: 1.0728 data_time: 0.0907 memory: 22238 grad_norm: 25.5344 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9005 loss: 1.9005 2022/07/31 07:54:32 - mmengine - INFO - Epoch(train) [9][2200/2505] lr: 2.9000e-04 eta: 1 day, 9:38:40 time: 0.8842 data_time: 0.1377 memory: 22238 grad_norm: 25.8206 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8713 loss: 1.8713 2022/07/31 07:54:54 - mmengine - INFO - Epoch(train) [9][2220/2505] lr: 2.9000e-04 eta: 1 day, 9:38:34 time: 1.1137 data_time: 0.1427 memory: 22238 grad_norm: 24.5013 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8778 loss: 1.8778 2022/07/31 07:55:12 - mmengine - INFO - Epoch(train) [9][2240/2505] lr: 2.9000e-04 eta: 1 day, 9:38:01 time: 0.8639 data_time: 0.0660 memory: 22238 grad_norm: 24.9326 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0241 loss: 2.0241 2022/07/31 07:55:34 - mmengine - INFO - Epoch(train) [9][2260/2505] lr: 2.9000e-04 eta: 1 day, 9:37:56 time: 1.1117 data_time: 0.0981 memory: 22238 grad_norm: 24.8641 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6743 loss: 1.6743 2022/07/31 07:55:50 - mmengine - INFO - Epoch(train) [9][2280/2505] lr: 2.9000e-04 eta: 1 day, 9:37:19 time: 0.8303 data_time: 0.0640 memory: 22238 grad_norm: 25.0015 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7352 loss: 1.7352 2022/07/31 07:56:13 - mmengine - INFO - Epoch(train) [9][2300/2505] lr: 2.9000e-04 eta: 1 day, 9:37:12 time: 1.1042 data_time: 0.0418 memory: 22238 grad_norm: 24.5935 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7645 loss: 1.7645 2022/07/31 07:56:30 - mmengine - INFO - Epoch(train) [9][2320/2505] lr: 2.9000e-04 eta: 1 day, 9:36:40 time: 0.8649 data_time: 0.0494 memory: 22238 grad_norm: 25.3175 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9318 loss: 1.9318 2022/07/31 07:56:52 - mmengine - INFO - Epoch(train) [9][2340/2505] lr: 2.9000e-04 eta: 1 day, 9:36:31 time: 1.0877 data_time: 0.0698 memory: 22238 grad_norm: 26.1229 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0102 loss: 2.0102 2022/07/31 07:57:09 - mmengine - INFO - Epoch(train) [9][2360/2505] lr: 2.9000e-04 eta: 1 day, 9:35:57 time: 0.8558 data_time: 0.0930 memory: 22238 grad_norm: 24.7415 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0262 loss: 2.0262 2022/07/31 07:57:31 - mmengine - INFO - Epoch(train) [9][2380/2505] lr: 2.9000e-04 eta: 1 day, 9:35:51 time: 1.1041 data_time: 0.1080 memory: 22238 grad_norm: 24.9447 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0794 loss: 2.0794 2022/07/31 07:57:48 - mmengine - INFO - Epoch(train) [9][2400/2505] lr: 2.9000e-04 eta: 1 day, 9:35:17 time: 0.8555 data_time: 0.0417 memory: 22238 grad_norm: 24.1900 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7948 loss: 1.7948 2022/07/31 07:58:10 - mmengine - INFO - Epoch(train) [9][2420/2505] lr: 2.9000e-04 eta: 1 day, 9:35:08 time: 1.0832 data_time: 0.0719 memory: 22238 grad_norm: 24.3254 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9751 loss: 1.9751 2022/07/31 07:58:27 - mmengine - INFO - Epoch(train) [9][2440/2505] lr: 2.9000e-04 eta: 1 day, 9:34:38 time: 0.8920 data_time: 0.0780 memory: 22238 grad_norm: 24.3516 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0137 loss: 2.0137 2022/07/31 07:58:49 - mmengine - INFO - Epoch(train) [9][2460/2505] lr: 2.9000e-04 eta: 1 day, 9:34:28 time: 1.0713 data_time: 0.1646 memory: 22238 grad_norm: 24.9666 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8104 loss: 1.8104 2022/07/31 07:59:06 - mmengine - INFO - Epoch(train) [9][2480/2505] lr: 2.9000e-04 eta: 1 day, 9:33:56 time: 0.8720 data_time: 0.0945 memory: 22238 grad_norm: 24.4620 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0029 loss: 2.0029 2022/07/31 07:59:24 - mmengine - INFO - Epoch(train) [9][2500/2505] lr: 2.9000e-04 eta: 1 day, 9:33:28 time: 0.9076 data_time: 0.0417 memory: 22238 grad_norm: 24.7164 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7280 loss: 1.7280 2022/07/31 07:59:26 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 07:59:26 - mmengine - INFO - Epoch(train) [9][2505/2505] lr: 2.9000e-04 eta: 1 day, 9:33:28 time: 0.7006 data_time: 0.0212 memory: 22238 grad_norm: 25.1967 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.9898 loss: 1.9898 2022/07/31 07:59:29 - mmengine - INFO - Epoch(val) [9][20/2475] eta: 0:04:47 time: 0.1170 data_time: 0.0989 memory: 564 2022/07/31 07:59:30 - mmengine - INFO - Epoch(val) [9][40/2475] eta: 0:02:50 time: 0.0700 data_time: 0.0518 memory: 564 2022/07/31 07:59:32 - mmengine - INFO - Epoch(val) [9][60/2475] eta: 0:04:08 time: 0.1031 data_time: 0.0838 memory: 564 2022/07/31 07:59:34 - mmengine - INFO - Epoch(val) [9][80/2475] eta: 0:02:54 time: 0.0727 data_time: 0.0541 memory: 564 2022/07/31 07:59:36 - mmengine - INFO - Epoch(val) [9][100/2475] eta: 0:03:58 time: 0.1005 data_time: 0.0785 memory: 564 2022/07/31 07:59:37 - mmengine - INFO - Epoch(val) [9][120/2475] eta: 0:02:28 time: 0.0629 data_time: 0.0449 memory: 564 2022/07/31 07:59:39 - mmengine - INFO - Epoch(val) [9][140/2475] eta: 0:03:40 time: 0.0945 data_time: 0.0771 memory: 564 2022/07/31 07:59:40 - mmengine - INFO - Epoch(val) [9][160/2475] eta: 0:02:44 time: 0.0709 data_time: 0.0533 memory: 564 2022/07/31 07:59:42 - mmengine - INFO - Epoch(val) [9][180/2475] eta: 0:03:28 time: 0.0906 data_time: 0.0712 memory: 564 2022/07/31 07:59:43 - mmengine - INFO - Epoch(val) [9][200/2475] eta: 0:02:17 time: 0.0605 data_time: 0.0424 memory: 564 2022/07/31 07:59:45 - mmengine - INFO - Epoch(val) [9][220/2475] eta: 0:03:08 time: 0.0836 data_time: 0.0479 memory: 564 2022/07/31 07:59:46 - mmengine - INFO - Epoch(val) [9][240/2475] eta: 0:02:34 time: 0.0691 data_time: 0.0449 memory: 564 2022/07/31 07:59:48 - mmengine - INFO - Epoch(val) [9][260/2475] eta: 0:03:16 time: 0.0886 data_time: 0.0695 memory: 564 2022/07/31 07:59:49 - mmengine - INFO - Epoch(val) [9][280/2475] eta: 0:02:23 time: 0.0653 data_time: 0.0466 memory: 564 2022/07/31 07:59:51 - mmengine - INFO - Epoch(val) [9][300/2475] eta: 0:03:20 time: 0.0921 data_time: 0.0745 memory: 564 2022/07/31 07:59:53 - mmengine - INFO - Epoch(val) [9][320/2475] eta: 0:02:36 time: 0.0727 data_time: 0.0538 memory: 564 2022/07/31 07:59:55 - mmengine - INFO - Epoch(val) [9][340/2475] eta: 0:03:25 time: 0.0961 data_time: 0.0744 memory: 564 2022/07/31 07:59:56 - mmengine - INFO - Epoch(val) [9][360/2475] eta: 0:02:13 time: 0.0630 data_time: 0.0430 memory: 564 2022/07/31 07:59:58 - mmengine - INFO - Epoch(val) [9][380/2475] eta: 0:03:11 time: 0.0915 data_time: 0.0718 memory: 564 2022/07/31 07:59:59 - mmengine - INFO - Epoch(val) [9][400/2475] eta: 0:02:25 time: 0.0701 data_time: 0.0513 memory: 564 2022/07/31 08:00:01 - mmengine - INFO - Epoch(val) [9][420/2475] eta: 0:03:01 time: 0.0882 data_time: 0.0671 memory: 564 2022/07/31 08:00:03 - mmengine - INFO - Epoch(val) [9][440/2475] eta: 0:02:54 time: 0.0858 data_time: 0.0665 memory: 564 2022/07/31 08:00:04 - mmengine - INFO - Epoch(val) [9][460/2475] eta: 0:03:14 time: 0.0963 data_time: 0.0668 memory: 564 2022/07/31 08:00:06 - mmengine - INFO - Epoch(val) [9][480/2475] eta: 0:02:25 time: 0.0730 data_time: 0.0526 memory: 564 2022/07/31 08:00:08 - mmengine - INFO - Epoch(val) [9][500/2475] eta: 0:02:56 time: 0.0892 data_time: 0.0713 memory: 564 2022/07/31 08:00:09 - mmengine - INFO - Epoch(val) [9][520/2475] eta: 0:02:20 time: 0.0717 data_time: 0.0517 memory: 564 2022/07/31 08:00:11 - mmengine - INFO - Epoch(val) [9][540/2475] eta: 0:02:58 time: 0.0923 data_time: 0.0728 memory: 564 2022/07/31 08:00:12 - mmengine - INFO - Epoch(val) [9][560/2475] eta: 0:02:04 time: 0.0650 data_time: 0.0462 memory: 564 2022/07/31 08:00:14 - mmengine - INFO - Epoch(val) [9][580/2475] eta: 0:02:55 time: 0.0926 data_time: 0.0725 memory: 564 2022/07/31 08:00:16 - mmengine - INFO - Epoch(val) [9][600/2475] eta: 0:02:24 time: 0.0769 data_time: 0.0563 memory: 564 2022/07/31 08:00:17 - mmengine - INFO - Epoch(val) [9][620/2475] eta: 0:02:45 time: 0.0892 data_time: 0.0717 memory: 564 2022/07/31 08:00:19 - mmengine - INFO - Epoch(val) [9][640/2475] eta: 0:02:14 time: 0.0731 data_time: 0.0549 memory: 564 2022/07/31 08:00:21 - mmengine - INFO - Epoch(val) [9][660/2475] eta: 0:02:50 time: 0.0939 data_time: 0.0755 memory: 564 2022/07/31 08:00:22 - mmengine - INFO - Epoch(val) [9][680/2475] eta: 0:02:08 time: 0.0717 data_time: 0.0537 memory: 564 2022/07/31 08:00:24 - mmengine - INFO - Epoch(val) [9][700/2475] eta: 0:02:42 time: 0.0916 data_time: 0.0606 memory: 564 2022/07/31 08:00:26 - mmengine - INFO - Epoch(val) [9][720/2475] eta: 0:02:10 time: 0.0741 data_time: 0.0535 memory: 564 2022/07/31 08:00:27 - mmengine - INFO - Epoch(val) [9][740/2475] eta: 0:02:47 time: 0.0967 data_time: 0.0791 memory: 564 2022/07/31 08:00:29 - mmengine - INFO - Epoch(val) [9][760/2475] eta: 0:01:46 time: 0.0623 data_time: 0.0448 memory: 564 2022/07/31 08:00:31 - mmengine - INFO - Epoch(val) [9][780/2475] eta: 0:02:40 time: 0.0946 data_time: 0.0769 memory: 564 2022/07/31 08:00:32 - mmengine - INFO - Epoch(val) [9][800/2475] eta: 0:01:48 time: 0.0646 data_time: 0.0460 memory: 564 2022/07/31 08:00:34 - mmengine - INFO - Epoch(val) [9][820/2475] eta: 0:02:18 time: 0.0840 data_time: 0.0606 memory: 564 2022/07/31 08:00:35 - mmengine - INFO - Epoch(val) [9][840/2475] eta: 0:01:56 time: 0.0715 data_time: 0.0517 memory: 564 2022/07/31 08:00:37 - mmengine - INFO - Epoch(val) [9][860/2475] eta: 0:02:32 time: 0.0945 data_time: 0.0727 memory: 564 2022/07/31 08:00:38 - mmengine - INFO - Epoch(val) [9][880/2475] eta: 0:01:53 time: 0.0711 data_time: 0.0518 memory: 564 2022/07/31 08:00:40 - mmengine - INFO - Epoch(val) [9][900/2475] eta: 0:02:35 time: 0.0989 data_time: 0.0783 memory: 564 2022/07/31 08:00:42 - mmengine - INFO - Epoch(val) [9][920/2475] eta: 0:01:39 time: 0.0638 data_time: 0.0447 memory: 564 2022/07/31 08:00:44 - mmengine - INFO - Epoch(val) [9][940/2475] eta: 0:02:34 time: 0.1004 data_time: 0.0817 memory: 564 2022/07/31 08:00:45 - mmengine - INFO - Epoch(val) [9][960/2475] eta: 0:01:42 time: 0.0677 data_time: 0.0478 memory: 564 2022/07/31 08:00:47 - mmengine - INFO - Epoch(val) [9][980/2475] eta: 0:02:01 time: 0.0811 data_time: 0.0607 memory: 564 2022/07/31 08:00:48 - mmengine - INFO - Epoch(val) [9][1000/2475] eta: 0:02:00 time: 0.0814 data_time: 0.0616 memory: 564 2022/07/31 08:00:50 - mmengine - INFO - Epoch(val) [9][1020/2475] eta: 0:02:17 time: 0.0947 data_time: 0.0759 memory: 564 2022/07/31 08:00:51 - mmengine - INFO - Epoch(val) [9][1040/2475] eta: 0:01:33 time: 0.0651 data_time: 0.0467 memory: 564 2022/07/31 08:00:53 - mmengine - INFO - Epoch(val) [9][1060/2475] eta: 0:02:05 time: 0.0889 data_time: 0.0702 memory: 564 2022/07/31 08:00:55 - mmengine - INFO - Epoch(val) [9][1080/2475] eta: 0:01:39 time: 0.0716 data_time: 0.0501 memory: 564 2022/07/31 08:00:56 - mmengine - INFO - Epoch(val) [9][1100/2475] eta: 0:01:58 time: 0.0862 data_time: 0.0676 memory: 564 2022/07/31 08:00:58 - mmengine - INFO - Epoch(val) [9][1120/2475] eta: 0:01:36 time: 0.0709 data_time: 0.0529 memory: 564 2022/07/31 08:01:00 - mmengine - INFO - Epoch(val) [9][1140/2475] eta: 0:02:08 time: 0.0963 data_time: 0.0773 memory: 564 2022/07/31 08:01:01 - mmengine - INFO - Epoch(val) [9][1160/2475] eta: 0:01:30 time: 0.0692 data_time: 0.0502 memory: 564 2022/07/31 08:01:03 - mmengine - INFO - Epoch(val) [9][1180/2475] eta: 0:02:04 time: 0.0961 data_time: 0.0761 memory: 564 2022/07/31 08:01:04 - mmengine - INFO - Epoch(val) [9][1200/2475] eta: 0:01:29 time: 0.0705 data_time: 0.0518 memory: 564 2022/07/31 08:01:06 - mmengine - INFO - Epoch(val) [9][1220/2475] eta: 0:01:39 time: 0.0796 data_time: 0.0623 memory: 564 2022/07/31 08:01:08 - mmengine - INFO - Epoch(val) [9][1240/2475] eta: 0:01:31 time: 0.0744 data_time: 0.0555 memory: 564 2022/07/31 08:01:09 - mmengine - INFO - Epoch(val) [9][1260/2475] eta: 0:01:50 time: 0.0906 data_time: 0.0726 memory: 564 2022/07/31 08:01:11 - mmengine - INFO - Epoch(val) [9][1280/2475] eta: 0:01:35 time: 0.0800 data_time: 0.0621 memory: 564 2022/07/31 08:01:13 - mmengine - INFO - Epoch(val) [9][1300/2475] eta: 0:01:45 time: 0.0900 data_time: 0.0713 memory: 564 2022/07/31 08:01:14 - mmengine - INFO - Epoch(val) [9][1320/2475] eta: 0:01:28 time: 0.0765 data_time: 0.0556 memory: 564 2022/07/31 08:01:16 - mmengine - INFO - Epoch(val) [9][1340/2475] eta: 0:01:28 time: 0.0783 data_time: 0.0580 memory: 564 2022/07/31 08:01:17 - mmengine - INFO - Epoch(val) [9][1360/2475] eta: 0:01:15 time: 0.0678 data_time: 0.0456 memory: 564 2022/07/31 08:01:19 - mmengine - INFO - Epoch(val) [9][1380/2475] eta: 0:01:32 time: 0.0844 data_time: 0.0633 memory: 564 2022/07/31 08:01:20 - mmengine - INFO - Epoch(val) [9][1400/2475] eta: 0:01:22 time: 0.0768 data_time: 0.0542 memory: 564 2022/07/31 08:01:22 - mmengine - INFO - Epoch(val) [9][1420/2475] eta: 0:01:22 time: 0.0786 data_time: 0.0598 memory: 564 2022/07/31 08:01:24 - mmengine - INFO - Epoch(val) [9][1440/2475] eta: 0:01:32 time: 0.0898 data_time: 0.0620 memory: 564 2022/07/31 08:01:25 - mmengine - INFO - Epoch(val) [9][1460/2475] eta: 0:01:18 time: 0.0769 data_time: 0.0568 memory: 564 2022/07/31 08:01:27 - mmengine - INFO - Epoch(val) [9][1480/2475] eta: 0:01:28 time: 0.0893 data_time: 0.0690 memory: 564 2022/07/31 08:01:29 - mmengine - INFO - Epoch(val) [9][1500/2475] eta: 0:01:08 time: 0.0704 data_time: 0.0525 memory: 564 2022/07/31 08:01:30 - mmengine - INFO - Epoch(val) [9][1520/2475] eta: 0:01:30 time: 0.0950 data_time: 0.0775 memory: 564 2022/07/31 08:01:32 - mmengine - INFO - Epoch(val) [9][1540/2475] eta: 0:00:57 time: 0.0615 data_time: 0.0411 memory: 564 2022/07/31 08:01:33 - mmengine - INFO - Epoch(val) [9][1560/2475] eta: 0:01:20 time: 0.0876 data_time: 0.0684 memory: 564 2022/07/31 08:01:35 - mmengine - INFO - Epoch(val) [9][1580/2475] eta: 0:01:00 time: 0.0679 data_time: 0.0483 memory: 564 2022/07/31 08:01:37 - mmengine - INFO - Epoch(val) [9][1600/2475] eta: 0:01:19 time: 0.0911 data_time: 0.0712 memory: 564 2022/07/31 08:01:39 - mmengine - INFO - Epoch(val) [9][1620/2475] eta: 0:01:21 time: 0.0955 data_time: 0.0751 memory: 564 2022/07/31 08:01:40 - mmengine - INFO - Epoch(val) [9][1640/2475] eta: 0:00:47 time: 0.0569 data_time: 0.0389 memory: 564 2022/07/31 08:01:42 - mmengine - INFO - Epoch(val) [9][1660/2475] eta: 0:01:23 time: 0.1022 data_time: 0.0842 memory: 564 2022/07/31 08:01:43 - mmengine - INFO - Epoch(val) [9][1680/2475] eta: 0:00:56 time: 0.0708 data_time: 0.0502 memory: 564 2022/07/31 08:01:45 - mmengine - INFO - Epoch(val) [9][1700/2475] eta: 0:01:12 time: 0.0941 data_time: 0.0716 memory: 564 2022/07/31 08:01:47 - mmengine - INFO - Epoch(val) [9][1720/2475] eta: 0:00:58 time: 0.0780 data_time: 0.0605 memory: 564 2022/07/31 08:01:48 - mmengine - INFO - Epoch(val) [9][1740/2475] eta: 0:00:54 time: 0.0741 data_time: 0.0549 memory: 564 2022/07/31 08:01:50 - mmengine - INFO - Epoch(val) [9][1760/2475] eta: 0:01:03 time: 0.0894 data_time: 0.0691 memory: 564 2022/07/31 08:01:51 - mmengine - INFO - Epoch(val) [9][1780/2475] eta: 0:00:51 time: 0.0734 data_time: 0.0537 memory: 564 2022/07/31 08:01:53 - mmengine - INFO - Epoch(val) [9][1800/2475] eta: 0:01:06 time: 0.0982 data_time: 0.0797 memory: 564 2022/07/31 08:01:55 - mmengine - INFO - Epoch(val) [9][1820/2475] eta: 0:00:51 time: 0.0783 data_time: 0.0592 memory: 564 2022/07/31 08:01:57 - mmengine - INFO - Epoch(val) [9][1840/2475] eta: 0:00:54 time: 0.0859 data_time: 0.0675 memory: 564 2022/07/31 08:01:58 - mmengine - INFO - Epoch(val) [9][1860/2475] eta: 0:00:46 time: 0.0762 data_time: 0.0591 memory: 564 2022/07/31 08:02:00 - mmengine - INFO - Epoch(val) [9][1880/2475] eta: 0:00:49 time: 0.0825 data_time: 0.0637 memory: 564 2022/07/31 08:02:01 - mmengine - INFO - Epoch(val) [9][1900/2475] eta: 0:00:41 time: 0.0721 data_time: 0.0537 memory: 564 2022/07/31 08:02:03 - mmengine - INFO - Epoch(val) [9][1920/2475] eta: 0:00:44 time: 0.0807 data_time: 0.0614 memory: 564 2022/07/31 08:02:04 - mmengine - INFO - Epoch(val) [9][1940/2475] eta: 0:00:39 time: 0.0733 data_time: 0.0470 memory: 564 2022/07/31 08:02:06 - mmengine - INFO - Epoch(val) [9][1960/2475] eta: 0:00:44 time: 0.0855 data_time: 0.0659 memory: 564 2022/07/31 08:02:07 - mmengine - INFO - Epoch(val) [9][1980/2475] eta: 0:00:33 time: 0.0686 data_time: 0.0516 memory: 564 2022/07/31 08:02:09 - mmengine - INFO - Epoch(val) [9][2000/2475] eta: 0:00:40 time: 0.0847 data_time: 0.0680 memory: 564 2022/07/31 08:02:10 - mmengine - INFO - Epoch(val) [9][2020/2475] eta: 0:00:32 time: 0.0722 data_time: 0.0527 memory: 564 2022/07/31 08:02:12 - mmengine - INFO - Epoch(val) [9][2040/2475] eta: 0:00:35 time: 0.0827 data_time: 0.0626 memory: 564 2022/07/31 08:02:14 - mmengine - INFO - Epoch(val) [9][2060/2475] eta: 0:00:35 time: 0.0860 data_time: 0.0658 memory: 564 2022/07/31 08:02:15 - mmengine - INFO - Epoch(val) [9][2080/2475] eta: 0:00:30 time: 0.0784 data_time: 0.0563 memory: 564 2022/07/31 08:02:17 - mmengine - INFO - Epoch(val) [9][2100/2475] eta: 0:00:33 time: 0.0885 data_time: 0.0696 memory: 564 2022/07/31 08:02:19 - mmengine - INFO - Epoch(val) [9][2120/2475] eta: 0:00:24 time: 0.0689 data_time: 0.0483 memory: 564 2022/07/31 08:02:21 - mmengine - INFO - Epoch(val) [9][2140/2475] eta: 0:00:36 time: 0.1084 data_time: 0.0865 memory: 564 2022/07/31 08:02:22 - mmengine - INFO - Epoch(val) [9][2160/2475] eta: 0:00:23 time: 0.0732 data_time: 0.0567 memory: 564 2022/07/31 08:02:24 - mmengine - INFO - Epoch(val) [9][2180/2475] eta: 0:00:25 time: 0.0876 data_time: 0.0712 memory: 564 2022/07/31 08:02:25 - mmengine - INFO - Epoch(val) [9][2200/2475] eta: 0:00:17 time: 0.0645 data_time: 0.0460 memory: 564 2022/07/31 08:02:27 - mmengine - INFO - Epoch(val) [9][2220/2475] eta: 0:00:24 time: 0.0957 data_time: 0.0784 memory: 564 2022/07/31 08:02:28 - mmengine - INFO - Epoch(val) [9][2240/2475] eta: 0:00:15 time: 0.0658 data_time: 0.0491 memory: 564 2022/07/31 08:02:30 - mmengine - INFO - Epoch(val) [9][2260/2475] eta: 0:00:21 time: 0.0979 data_time: 0.0758 memory: 564 2022/07/31 08:02:32 - mmengine - INFO - Epoch(val) [9][2280/2475] eta: 0:00:11 time: 0.0581 data_time: 0.0370 memory: 564 2022/07/31 08:02:34 - mmengine - INFO - Epoch(val) [9][2300/2475] eta: 0:00:17 time: 0.1015 data_time: 0.0831 memory: 564 2022/07/31 08:02:35 - mmengine - INFO - Epoch(val) [9][2320/2475] eta: 0:00:12 time: 0.0824 data_time: 0.0633 memory: 564 2022/07/31 08:02:37 - mmengine - INFO - Epoch(val) [9][2340/2475] eta: 0:00:12 time: 0.0956 data_time: 0.0771 memory: 564 2022/07/31 08:02:39 - mmengine - INFO - Epoch(val) [9][2360/2475] eta: 0:00:08 time: 0.0780 data_time: 0.0608 memory: 564 2022/07/31 08:02:41 - mmengine - INFO - Epoch(val) [9][2380/2475] eta: 0:00:08 time: 0.0874 data_time: 0.0685 memory: 564 2022/07/31 08:02:42 - mmengine - INFO - Epoch(val) [9][2400/2475] eta: 0:00:04 time: 0.0663 data_time: 0.0476 memory: 564 2022/07/31 08:02:44 - mmengine - INFO - Epoch(val) [9][2420/2475] eta: 0:00:04 time: 0.0877 data_time: 0.0677 memory: 564 2022/07/31 08:02:45 - mmengine - INFO - Epoch(val) [9][2440/2475] eta: 0:00:01 time: 0.0549 data_time: 0.0375 memory: 564 2022/07/31 08:02:47 - mmengine - INFO - Epoch(val) [9][2460/2475] eta: 0:00:01 time: 0.0981 data_time: 0.0799 memory: 564 2022/07/31 08:02:49 - mmengine - INFO - Epoch(val) [9][2475/2475] acc/top1: 0.6460 acc/top5: 0.8585 acc/mean1: 0.6461 2022/07/31 08:02:50 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_7.pth is removed 2022/07/31 08:02:52 - mmengine - INFO - The best checkpoint with 0.6460 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/07/31 08:03:17 - mmengine - INFO - Epoch(train) [10][20/2505] lr: 3.2000e-04 eta: 1 day, 9:33:08 time: 1.2683 data_time: 0.8644 memory: 22238 grad_norm: 24.3661 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.0218 loss: 2.0218 2022/07/31 08:03:34 - mmengine - INFO - Epoch(train) [10][40/2505] lr: 3.2000e-04 eta: 1 day, 9:32:36 time: 0.8748 data_time: 0.4856 memory: 22238 grad_norm: 25.3520 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9112 loss: 1.9112 2022/07/31 08:03:57 - mmengine - INFO - Epoch(train) [10][60/2505] lr: 3.2000e-04 eta: 1 day, 9:32:31 time: 1.1147 data_time: 0.7249 memory: 22238 grad_norm: 25.0571 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0727 loss: 2.0727 2022/07/31 08:04:14 - mmengine - INFO - Epoch(train) [10][80/2505] lr: 3.2000e-04 eta: 1 day, 9:31:59 time: 0.8731 data_time: 0.4232 memory: 22238 grad_norm: 24.9357 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7852 loss: 1.7852 2022/07/31 08:04:37 - mmengine - INFO - Epoch(train) [10][100/2505] lr: 3.2000e-04 eta: 1 day, 9:31:55 time: 1.1245 data_time: 0.4559 memory: 22238 grad_norm: 23.4387 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8178 loss: 1.8178 2022/07/31 08:04:54 - mmengine - INFO - Epoch(train) [10][120/2505] lr: 3.2000e-04 eta: 1 day, 9:31:24 time: 0.8798 data_time: 0.3352 memory: 22238 grad_norm: 25.0527 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9810 loss: 1.9810 2022/07/31 08:05:17 - mmengine - INFO - Epoch(train) [10][140/2505] lr: 3.2000e-04 eta: 1 day, 9:31:19 time: 1.1228 data_time: 0.3654 memory: 22238 grad_norm: 25.0633 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4706 loss: 2.4706 2022/07/31 08:05:34 - mmengine - INFO - Epoch(train) [10][160/2505] lr: 3.2000e-04 eta: 1 day, 9:30:47 time: 0.8704 data_time: 0.2034 memory: 22238 grad_norm: 24.8809 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8438 loss: 1.8438 2022/07/31 08:05:56 - mmengine - INFO - Epoch(train) [10][180/2505] lr: 3.2000e-04 eta: 1 day, 9:30:41 time: 1.1159 data_time: 0.3389 memory: 22238 grad_norm: 25.2250 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 2.0158 loss: 2.0158 2022/07/31 08:06:13 - mmengine - INFO - Epoch(train) [10][200/2505] lr: 3.2000e-04 eta: 1 day, 9:30:07 time: 0.8443 data_time: 0.2588 memory: 22238 grad_norm: 25.0906 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0339 loss: 2.0339 2022/07/31 08:06:35 - mmengine - INFO - Epoch(train) [10][220/2505] lr: 3.2000e-04 eta: 1 day, 9:29:58 time: 1.0884 data_time: 0.4950 memory: 22238 grad_norm: 24.8397 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.8959 loss: 1.8959 2022/07/31 08:06:52 - mmengine - INFO - Epoch(train) [10][240/2505] lr: 3.2000e-04 eta: 1 day, 9:29:24 time: 0.8532 data_time: 0.2777 memory: 22238 grad_norm: 25.8059 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1211 loss: 2.1211 2022/07/31 08:07:14 - mmengine - INFO - Epoch(train) [10][260/2505] lr: 3.2000e-04 eta: 1 day, 9:29:17 time: 1.0962 data_time: 0.3342 memory: 22238 grad_norm: 25.6062 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9867 loss: 1.9867 2022/07/31 08:07:31 - mmengine - INFO - Epoch(train) [10][280/2505] lr: 3.2000e-04 eta: 1 day, 9:28:43 time: 0.8570 data_time: 0.1995 memory: 22238 grad_norm: 24.6511 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9411 loss: 1.9411 2022/07/31 08:07:53 - mmengine - INFO - Epoch(train) [10][300/2505] lr: 3.2000e-04 eta: 1 day, 9:28:37 time: 1.1067 data_time: 0.3806 memory: 22238 grad_norm: 24.9899 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9951 loss: 1.9951 2022/07/31 08:08:11 - mmengine - INFO - Epoch(train) [10][320/2505] lr: 3.2000e-04 eta: 1 day, 9:28:05 time: 0.8749 data_time: 0.2316 memory: 22238 grad_norm: 24.8740 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9315 loss: 1.9315 2022/07/31 08:08:33 - mmengine - INFO - Epoch(train) [10][340/2505] lr: 3.2000e-04 eta: 1 day, 9:28:00 time: 1.1129 data_time: 0.1704 memory: 22238 grad_norm: 24.6004 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.8766 loss: 1.8766 2022/07/31 08:08:50 - mmengine - INFO - Epoch(train) [10][360/2505] lr: 3.2000e-04 eta: 1 day, 9:27:27 time: 0.8675 data_time: 0.0288 memory: 22238 grad_norm: 24.5972 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6615 loss: 1.6615 2022/07/31 08:09:12 - mmengine - INFO - Epoch(train) [10][380/2505] lr: 3.2000e-04 eta: 1 day, 9:27:19 time: 1.0875 data_time: 0.0881 memory: 22238 grad_norm: 24.1720 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9552 loss: 1.9552 2022/07/31 08:09:30 - mmengine - INFO - Epoch(train) [10][400/2505] lr: 3.2000e-04 eta: 1 day, 9:26:48 time: 0.8813 data_time: 0.0980 memory: 22238 grad_norm: 24.8913 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9373 loss: 1.9373 2022/07/31 08:09:51 - mmengine - INFO - Epoch(train) [10][420/2505] lr: 3.2000e-04 eta: 1 day, 9:26:39 time: 1.0831 data_time: 0.0508 memory: 22238 grad_norm: 25.5038 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9617 loss: 1.9617 2022/07/31 08:10:10 - mmengine - INFO - Epoch(train) [10][440/2505] lr: 3.2000e-04 eta: 1 day, 9:26:11 time: 0.9055 data_time: 0.0753 memory: 22238 grad_norm: 25.2750 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9923 loss: 1.9923 2022/07/31 08:10:26 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 08:10:31 - mmengine - INFO - Epoch(train) [10][460/2505] lr: 3.2000e-04 eta: 1 day, 9:26:02 time: 1.0881 data_time: 0.1590 memory: 22238 grad_norm: 24.8816 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8887 loss: 1.8887 2022/07/31 08:10:48 - mmengine - INFO - Epoch(train) [10][480/2505] lr: 3.2000e-04 eta: 1 day, 9:25:28 time: 0.8456 data_time: 0.0862 memory: 22238 grad_norm: 24.6421 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7278 loss: 1.7278 2022/07/31 08:11:10 - mmengine - INFO - Epoch(train) [10][500/2505] lr: 3.2000e-04 eta: 1 day, 9:25:21 time: 1.1096 data_time: 0.1191 memory: 22238 grad_norm: 25.6652 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9631 loss: 1.9631 2022/07/31 08:11:28 - mmengine - INFO - Epoch(train) [10][520/2505] lr: 3.2000e-04 eta: 1 day, 9:24:49 time: 0.8638 data_time: 0.0798 memory: 22238 grad_norm: 25.2732 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9973 loss: 1.9973 2022/07/31 08:11:49 - mmengine - INFO - Epoch(train) [10][540/2505] lr: 3.2000e-04 eta: 1 day, 9:24:40 time: 1.0830 data_time: 0.1328 memory: 22238 grad_norm: 24.9064 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.0765 loss: 2.0765 2022/07/31 08:12:08 - mmengine - INFO - Epoch(train) [10][560/2505] lr: 3.2000e-04 eta: 1 day, 9:24:12 time: 0.9061 data_time: 0.1300 memory: 22238 grad_norm: 24.8905 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0122 loss: 2.0122 2022/07/31 08:12:29 - mmengine - INFO - Epoch(train) [10][580/2505] lr: 3.2000e-04 eta: 1 day, 9:24:01 time: 1.0722 data_time: 0.2108 memory: 22238 grad_norm: 24.6540 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8637 loss: 1.8637 2022/07/31 08:12:47 - mmengine - INFO - Epoch(train) [10][600/2505] lr: 3.2000e-04 eta: 1 day, 9:23:34 time: 0.9085 data_time: 0.3018 memory: 22238 grad_norm: 24.5622 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7723 loss: 1.7723 2022/07/31 08:13:08 - mmengine - INFO - Epoch(train) [10][620/2505] lr: 3.2000e-04 eta: 1 day, 9:23:21 time: 1.0523 data_time: 0.4926 memory: 22238 grad_norm: 24.6266 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0851 loss: 2.0851 2022/07/31 08:13:25 - mmengine - INFO - Epoch(train) [10][640/2505] lr: 3.2000e-04 eta: 1 day, 9:22:47 time: 0.8415 data_time: 0.3945 memory: 22238 grad_norm: 25.3484 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8879 loss: 1.8879 2022/07/31 08:13:47 - mmengine - INFO - Epoch(train) [10][660/2505] lr: 3.2000e-04 eta: 1 day, 9:22:37 time: 1.0841 data_time: 0.5885 memory: 22238 grad_norm: 23.7100 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 1.9598 loss: 1.9598 2022/07/31 08:14:04 - mmengine - INFO - Epoch(train) [10][680/2505] lr: 3.2000e-04 eta: 1 day, 9:22:05 time: 0.8649 data_time: 0.3414 memory: 22238 grad_norm: 25.0569 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1404 loss: 2.1404 2022/07/31 08:14:26 - mmengine - INFO - Epoch(train) [10][700/2505] lr: 3.2000e-04 eta: 1 day, 9:21:57 time: 1.0946 data_time: 0.5580 memory: 22238 grad_norm: 24.7907 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9430 loss: 1.9430 2022/07/31 08:14:43 - mmengine - INFO - Epoch(train) [10][720/2505] lr: 3.2000e-04 eta: 1 day, 9:21:24 time: 0.8582 data_time: 0.3365 memory: 22238 grad_norm: 24.5847 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1467 loss: 2.1467 2022/07/31 08:15:07 - mmengine - INFO - Epoch(train) [10][740/2505] lr: 3.2000e-04 eta: 1 day, 9:21:24 time: 1.1695 data_time: 0.6910 memory: 22238 grad_norm: 25.6507 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8222 loss: 1.8222 2022/07/31 08:15:24 - mmengine - INFO - Epoch(train) [10][760/2505] lr: 3.2000e-04 eta: 1 day, 9:20:55 time: 0.8925 data_time: 0.4939 memory: 22238 grad_norm: 25.5646 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7314 loss: 1.7314 2022/07/31 08:15:46 - mmengine - INFO - Epoch(train) [10][780/2505] lr: 3.2000e-04 eta: 1 day, 9:20:44 time: 1.0751 data_time: 0.5836 memory: 22238 grad_norm: 24.5061 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7957 loss: 1.7957 2022/07/31 08:16:03 - mmengine - INFO - Epoch(train) [10][800/2505] lr: 3.2000e-04 eta: 1 day, 9:20:10 time: 0.8388 data_time: 0.3253 memory: 22238 grad_norm: 26.0528 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9984 loss: 1.9984 2022/07/31 08:16:24 - mmengine - INFO - Epoch(train) [10][820/2505] lr: 3.2000e-04 eta: 1 day, 9:20:01 time: 1.0942 data_time: 0.4135 memory: 22238 grad_norm: 24.5380 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9435 loss: 1.9435 2022/07/31 08:16:42 - mmengine - INFO - Epoch(train) [10][840/2505] lr: 3.2000e-04 eta: 1 day, 9:19:29 time: 0.8605 data_time: 0.2814 memory: 22238 grad_norm: 24.3963 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.8792 loss: 1.8792 2022/07/31 08:17:03 - mmengine - INFO - Epoch(train) [10][860/2505] lr: 3.2000e-04 eta: 1 day, 9:19:19 time: 1.0784 data_time: 0.4935 memory: 22238 grad_norm: 25.4610 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.1323 loss: 2.1323 2022/07/31 08:17:21 - mmengine - INFO - Epoch(train) [10][880/2505] lr: 3.2000e-04 eta: 1 day, 9:18:50 time: 0.8923 data_time: 0.3269 memory: 22238 grad_norm: 24.2444 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0486 loss: 2.0486 2022/07/31 08:17:43 - mmengine - INFO - Epoch(train) [10][900/2505] lr: 3.2000e-04 eta: 1 day, 9:18:39 time: 1.0757 data_time: 0.4117 memory: 22238 grad_norm: 24.3885 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.2314 loss: 2.2314 2022/07/31 08:18:00 - mmengine - INFO - Epoch(train) [10][920/2505] lr: 3.2000e-04 eta: 1 day, 9:18:09 time: 0.8825 data_time: 0.3287 memory: 22238 grad_norm: 25.0186 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6852 loss: 1.6852 2022/07/31 08:18:22 - mmengine - INFO - Epoch(train) [10][940/2505] lr: 3.2000e-04 eta: 1 day, 9:17:59 time: 1.0759 data_time: 0.4027 memory: 22238 grad_norm: 24.4459 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.2044 loss: 2.2044 2022/07/31 08:18:39 - mmengine - INFO - Epoch(train) [10][960/2505] lr: 3.2000e-04 eta: 1 day, 9:17:28 time: 0.8721 data_time: 0.3155 memory: 22238 grad_norm: 24.7963 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8619 loss: 1.8619 2022/07/31 08:19:01 - mmengine - INFO - Epoch(train) [10][980/2505] lr: 3.2000e-04 eta: 1 day, 9:17:21 time: 1.1069 data_time: 0.3321 memory: 22238 grad_norm: 25.1752 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6973 loss: 1.6973 2022/07/31 08:19:19 - mmengine - INFO - Epoch(train) [10][1000/2505] lr: 3.2000e-04 eta: 1 day, 9:16:51 time: 0.8877 data_time: 0.2759 memory: 22238 grad_norm: 23.6690 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.2953 loss: 2.2953 2022/07/31 08:19:41 - mmengine - INFO - Epoch(train) [10][1020/2505] lr: 3.2000e-04 eta: 1 day, 9:16:41 time: 1.0763 data_time: 0.4017 memory: 22238 grad_norm: 24.9059 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0582 loss: 2.0582 2022/07/31 08:19:58 - mmengine - INFO - Epoch(train) [10][1040/2505] lr: 3.2000e-04 eta: 1 day, 9:16:08 time: 0.8538 data_time: 0.3184 memory: 22238 grad_norm: 23.8555 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.9424 loss: 1.9424 2022/07/31 08:20:20 - mmengine - INFO - Epoch(train) [10][1060/2505] lr: 3.2000e-04 eta: 1 day, 9:16:03 time: 1.1286 data_time: 0.5079 memory: 22238 grad_norm: 24.6580 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.2288 loss: 2.2288 2022/07/31 08:20:39 - mmengine - INFO - Epoch(train) [10][1080/2505] lr: 3.2000e-04 eta: 1 day, 9:15:37 time: 0.9247 data_time: 0.2331 memory: 22238 grad_norm: 24.6800 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9826 loss: 1.9826 2022/07/31 08:21:01 - mmengine - INFO - Epoch(train) [10][1100/2505] lr: 3.2000e-04 eta: 1 day, 9:15:30 time: 1.1095 data_time: 0.2388 memory: 22238 grad_norm: 24.7059 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.8162 loss: 1.8162 2022/07/31 08:21:18 - mmengine - INFO - Epoch(train) [10][1120/2505] lr: 3.2000e-04 eta: 1 day, 9:14:56 time: 0.8377 data_time: 0.1766 memory: 22238 grad_norm: 25.0335 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7924 loss: 1.7924 2022/07/31 08:21:39 - mmengine - INFO - Epoch(train) [10][1140/2505] lr: 3.2000e-04 eta: 1 day, 9:14:44 time: 1.0635 data_time: 0.3855 memory: 22238 grad_norm: 23.9672 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.8035 loss: 1.8035 2022/07/31 08:21:57 - mmengine - INFO - Epoch(train) [10][1160/2505] lr: 3.2000e-04 eta: 1 day, 9:14:14 time: 0.8782 data_time: 0.2885 memory: 22238 grad_norm: 24.0551 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9923 loss: 1.9923 2022/07/31 08:22:18 - mmengine - INFO - Epoch(train) [10][1180/2505] lr: 3.2000e-04 eta: 1 day, 9:14:05 time: 1.0871 data_time: 0.5172 memory: 22238 grad_norm: 24.2445 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9447 loss: 1.9447 2022/07/31 08:22:37 - mmengine - INFO - Epoch(train) [10][1200/2505] lr: 3.2000e-04 eta: 1 day, 9:13:38 time: 0.9161 data_time: 0.3427 memory: 22238 grad_norm: 24.5779 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9441 loss: 1.9441 2022/07/31 08:23:00 - mmengine - INFO - Epoch(train) [10][1220/2505] lr: 3.2000e-04 eta: 1 day, 9:13:34 time: 1.1430 data_time: 0.3597 memory: 22238 grad_norm: 24.4235 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.2280 loss: 2.2280 2022/07/31 08:23:16 - mmengine - INFO - Epoch(train) [10][1240/2505] lr: 3.2000e-04 eta: 1 day, 9:12:59 time: 0.8320 data_time: 0.1471 memory: 22238 grad_norm: 24.2650 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7230 loss: 1.7230 2022/07/31 08:23:38 - mmengine - INFO - Epoch(train) [10][1260/2505] lr: 3.2000e-04 eta: 1 day, 9:12:49 time: 1.0770 data_time: 0.3712 memory: 22238 grad_norm: 23.9465 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7936 loss: 1.7936 2022/07/31 08:23:55 - mmengine - INFO - Epoch(train) [10][1280/2505] lr: 3.2000e-04 eta: 1 day, 9:12:18 time: 0.8747 data_time: 0.2771 memory: 22238 grad_norm: 24.4120 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6355 loss: 1.6355 2022/07/31 08:24:16 - mmengine - INFO - Epoch(train) [10][1300/2505] lr: 3.2000e-04 eta: 1 day, 9:12:04 time: 1.0367 data_time: 0.3221 memory: 22238 grad_norm: 23.5709 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6786 loss: 1.6786 2022/07/31 08:24:33 - mmengine - INFO - Epoch(train) [10][1320/2505] lr: 3.2000e-04 eta: 1 day, 9:11:32 time: 0.8673 data_time: 0.3216 memory: 22238 grad_norm: 22.8287 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8200 loss: 1.8200 2022/07/31 08:24:56 - mmengine - INFO - Epoch(train) [10][1340/2505] lr: 3.2000e-04 eta: 1 day, 9:11:28 time: 1.1356 data_time: 0.4517 memory: 22238 grad_norm: 22.9472 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9806 loss: 1.9806 2022/07/31 08:25:13 - mmengine - INFO - Epoch(train) [10][1360/2505] lr: 3.2000e-04 eta: 1 day, 9:10:55 time: 0.8497 data_time: 0.2381 memory: 22238 grad_norm: 23.6668 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7162 loss: 1.7162 2022/07/31 08:25:35 - mmengine - INFO - Epoch(train) [10][1380/2505] lr: 3.2000e-04 eta: 1 day, 9:10:44 time: 1.0768 data_time: 0.3649 memory: 22238 grad_norm: 24.2054 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8637 loss: 1.8637 2022/07/31 08:25:52 - mmengine - INFO - Epoch(train) [10][1400/2505] lr: 3.2000e-04 eta: 1 day, 9:10:12 time: 0.8627 data_time: 0.2766 memory: 22238 grad_norm: 24.0459 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8198 loss: 1.8198 2022/07/31 08:26:13 - mmengine - INFO - Epoch(train) [10][1420/2505] lr: 3.2000e-04 eta: 1 day, 9:10:03 time: 1.0826 data_time: 0.5246 memory: 22238 grad_norm: 24.6084 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7827 loss: 1.7827 2022/07/31 08:26:32 - mmengine - INFO - Epoch(train) [10][1440/2505] lr: 3.2000e-04 eta: 1 day, 9:09:35 time: 0.9048 data_time: 0.3316 memory: 22238 grad_norm: 24.4784 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7828 loss: 1.7828 2022/07/31 08:26:48 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 08:26:54 - mmengine - INFO - Epoch(train) [10][1460/2505] lr: 3.2000e-04 eta: 1 day, 9:09:29 time: 1.1178 data_time: 0.3311 memory: 22238 grad_norm: 24.2882 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8698 loss: 1.8698 2022/07/31 08:27:11 - mmengine - INFO - Epoch(train) [10][1480/2505] lr: 3.2000e-04 eta: 1 day, 9:08:58 time: 0.8740 data_time: 0.1984 memory: 22238 grad_norm: 23.6691 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.1162 loss: 2.1162 2022/07/31 08:27:33 - mmengine - INFO - Epoch(train) [10][1500/2505] lr: 3.2000e-04 eta: 1 day, 9:08:49 time: 1.0916 data_time: 0.2273 memory: 22238 grad_norm: 25.5149 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9216 loss: 1.9216 2022/07/31 08:27:50 - mmengine - INFO - Epoch(train) [10][1520/2505] lr: 3.2000e-04 eta: 1 day, 9:08:14 time: 0.8319 data_time: 0.1261 memory: 22238 grad_norm: 24.8651 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8627 loss: 1.8627 2022/07/31 08:28:12 - mmengine - INFO - Epoch(train) [10][1540/2505] lr: 3.2000e-04 eta: 1 day, 9:08:08 time: 1.1225 data_time: 0.2790 memory: 22238 grad_norm: 24.1794 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8955 loss: 1.8955 2022/07/31 08:28:29 - mmengine - INFO - Epoch(train) [10][1560/2505] lr: 3.2000e-04 eta: 1 day, 9:07:35 time: 0.8529 data_time: 0.1417 memory: 22238 grad_norm: 24.5825 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8423 loss: 1.8423 2022/07/31 08:28:51 - mmengine - INFO - Epoch(train) [10][1580/2505] lr: 3.2000e-04 eta: 1 day, 9:07:27 time: 1.1003 data_time: 0.2355 memory: 22238 grad_norm: 23.6200 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8015 loss: 1.8015 2022/07/31 08:29:09 - mmengine - INFO - Epoch(train) [10][1600/2505] lr: 3.2000e-04 eta: 1 day, 9:06:57 time: 0.8786 data_time: 0.1463 memory: 22238 grad_norm: 24.1520 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7524 loss: 1.7524 2022/07/31 08:29:29 - mmengine - INFO - Epoch(train) [10][1620/2505] lr: 3.2000e-04 eta: 1 day, 9:06:42 time: 1.0255 data_time: 0.2786 memory: 22238 grad_norm: 23.5472 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7844 loss: 1.7844 2022/07/31 08:29:47 - mmengine - INFO - Epoch(train) [10][1640/2505] lr: 3.2000e-04 eta: 1 day, 9:06:11 time: 0.8752 data_time: 0.3251 memory: 22238 grad_norm: 25.1803 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8711 loss: 1.8711 2022/07/31 08:30:09 - mmengine - INFO - Epoch(train) [10][1660/2505] lr: 3.2000e-04 eta: 1 day, 9:06:04 time: 1.1065 data_time: 0.5327 memory: 22238 grad_norm: 25.0158 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9151 loss: 1.9151 2022/07/31 08:30:27 - mmengine - INFO - Epoch(train) [10][1680/2505] lr: 3.2000e-04 eta: 1 day, 9:05:37 time: 0.9144 data_time: 0.3516 memory: 22238 grad_norm: 25.1998 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0113 loss: 2.0113 2022/07/31 08:30:48 - mmengine - INFO - Epoch(train) [10][1700/2505] lr: 3.2000e-04 eta: 1 day, 9:05:22 time: 1.0310 data_time: 0.5051 memory: 22238 grad_norm: 24.1383 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0385 loss: 2.0385 2022/07/31 08:31:07 - mmengine - INFO - Epoch(train) [10][1720/2505] lr: 3.2000e-04 eta: 1 day, 9:04:58 time: 0.9414 data_time: 0.3842 memory: 22238 grad_norm: 23.1425 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7940 loss: 1.7940 2022/07/31 08:31:27 - mmengine - INFO - Epoch(train) [10][1740/2505] lr: 3.2000e-04 eta: 1 day, 9:04:41 time: 1.0153 data_time: 0.4865 memory: 22238 grad_norm: 24.7901 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.9793 loss: 1.9793 2022/07/31 08:31:46 - mmengine - INFO - Epoch(train) [10][1760/2505] lr: 3.2000e-04 eta: 1 day, 9:04:17 time: 0.9341 data_time: 0.3632 memory: 22238 grad_norm: 24.8754 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9265 loss: 1.9265 2022/07/31 08:32:07 - mmengine - INFO - Epoch(train) [10][1780/2505] lr: 3.2000e-04 eta: 1 day, 9:04:06 time: 1.0756 data_time: 0.5628 memory: 22238 grad_norm: 23.6166 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9129 loss: 1.9129 2022/07/31 08:32:24 - mmengine - INFO - Epoch(train) [10][1800/2505] lr: 3.2000e-04 eta: 1 day, 9:03:33 time: 0.8512 data_time: 0.4107 memory: 22238 grad_norm: 23.2849 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7491 loss: 1.7491 2022/07/31 08:32:46 - mmengine - INFO - Epoch(train) [10][1820/2505] lr: 3.2000e-04 eta: 1 day, 9:03:22 time: 1.0665 data_time: 0.5483 memory: 22238 grad_norm: 24.1660 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7663 loss: 1.7663 2022/07/31 08:33:04 - mmengine - INFO - Epoch(train) [10][1840/2505] lr: 3.2000e-04 eta: 1 day, 9:02:55 time: 0.9163 data_time: 0.4044 memory: 22238 grad_norm: 24.5722 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9710 loss: 1.9710 2022/07/31 08:33:25 - mmengine - INFO - Epoch(train) [10][1860/2505] lr: 3.2000e-04 eta: 1 day, 9:02:42 time: 1.0458 data_time: 0.4490 memory: 22238 grad_norm: 23.7972 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1225 loss: 2.1225 2022/07/31 08:33:43 - mmengine - INFO - Epoch(train) [10][1880/2505] lr: 3.2000e-04 eta: 1 day, 9:02:16 time: 0.9200 data_time: 0.4141 memory: 22238 grad_norm: 23.9233 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9020 loss: 1.9020 2022/07/31 08:34:04 - mmengine - INFO - Epoch(train) [10][1900/2505] lr: 3.2000e-04 eta: 1 day, 9:02:02 time: 1.0469 data_time: 0.5598 memory: 22238 grad_norm: 24.2725 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8667 loss: 1.8667 2022/07/31 08:34:22 - mmengine - INFO - Epoch(train) [10][1920/2505] lr: 3.2000e-04 eta: 1 day, 9:01:34 time: 0.8963 data_time: 0.4827 memory: 22238 grad_norm: 23.5164 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7374 loss: 1.7374 2022/07/31 08:34:43 - mmengine - INFO - Epoch(train) [10][1940/2505] lr: 3.2000e-04 eta: 1 day, 9:01:19 time: 1.0278 data_time: 0.6261 memory: 22238 grad_norm: 24.3815 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9741 loss: 1.9741 2022/07/31 08:35:04 - mmengine - INFO - Epoch(train) [10][1960/2505] lr: 3.2000e-04 eta: 1 day, 9:01:04 time: 1.0364 data_time: 0.5167 memory: 22238 grad_norm: 23.7633 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7383 loss: 1.7383 2022/07/31 08:35:23 - mmengine - INFO - Epoch(train) [10][1980/2505] lr: 3.2000e-04 eta: 1 day, 9:00:41 time: 0.9503 data_time: 0.4986 memory: 22238 grad_norm: 24.2026 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9033 loss: 1.9033 2022/07/31 08:35:43 - mmengine - INFO - Epoch(train) [10][2000/2505] lr: 3.2000e-04 eta: 1 day, 9:00:26 time: 1.0269 data_time: 0.4525 memory: 22238 grad_norm: 23.8304 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0627 loss: 2.0627 2022/07/31 08:36:02 - mmengine - INFO - Epoch(train) [10][2020/2505] lr: 3.2000e-04 eta: 1 day, 9:00:00 time: 0.9277 data_time: 0.4618 memory: 22238 grad_norm: 24.3394 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9161 loss: 1.9161 2022/07/31 08:36:23 - mmengine - INFO - Epoch(train) [10][2040/2505] lr: 3.2000e-04 eta: 1 day, 8:59:51 time: 1.0869 data_time: 0.6337 memory: 22238 grad_norm: 24.1521 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.0290 loss: 2.0290 2022/07/31 08:36:41 - mmengine - INFO - Epoch(train) [10][2060/2505] lr: 3.2000e-04 eta: 1 day, 8:59:22 time: 0.8923 data_time: 0.4971 memory: 22238 grad_norm: 23.4174 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8876 loss: 1.8876 2022/07/31 08:37:03 - mmengine - INFO - Epoch(train) [10][2080/2505] lr: 3.2000e-04 eta: 1 day, 8:59:11 time: 1.0766 data_time: 0.6619 memory: 22238 grad_norm: 24.2374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9178 loss: 1.9178 2022/07/31 08:37:21 - mmengine - INFO - Epoch(train) [10][2100/2505] lr: 3.2000e-04 eta: 1 day, 8:58:46 time: 0.9240 data_time: 0.5362 memory: 22238 grad_norm: 23.4407 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9177 loss: 1.9177 2022/07/31 08:37:42 - mmengine - INFO - Epoch(train) [10][2120/2505] lr: 3.2000e-04 eta: 1 day, 8:58:30 time: 1.0243 data_time: 0.6386 memory: 22238 grad_norm: 23.7608 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8176 loss: 1.8176 2022/07/31 08:38:00 - mmengine - INFO - Epoch(train) [10][2140/2505] lr: 3.2000e-04 eta: 1 day, 8:58:03 time: 0.9093 data_time: 0.5308 memory: 22238 grad_norm: 23.9983 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8714 loss: 1.8714 2022/07/31 08:38:19 - mmengine - INFO - Epoch(train) [10][2160/2505] lr: 3.2000e-04 eta: 1 day, 8:57:42 time: 0.9725 data_time: 0.5885 memory: 22238 grad_norm: 23.6736 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8166 loss: 1.8166 2022/07/31 08:38:40 - mmengine - INFO - Epoch(train) [10][2180/2505] lr: 3.2000e-04 eta: 1 day, 8:57:27 time: 1.0291 data_time: 0.6354 memory: 22238 grad_norm: 25.1802 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0732 loss: 2.0732 2022/07/31 08:38:59 - mmengine - INFO - Epoch(train) [10][2200/2505] lr: 3.2000e-04 eta: 1 day, 8:57:07 time: 0.9770 data_time: 0.5854 memory: 22238 grad_norm: 24.0830 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8881 loss: 1.8881 2022/07/31 08:39:19 - mmengine - INFO - Epoch(train) [10][2220/2505] lr: 3.2000e-04 eta: 1 day, 8:56:45 time: 0.9611 data_time: 0.5690 memory: 22238 grad_norm: 24.4216 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8828 loss: 1.8828 2022/07/31 08:39:40 - mmengine - INFO - Epoch(train) [10][2240/2505] lr: 3.2000e-04 eta: 1 day, 8:56:31 time: 1.0494 data_time: 0.6613 memory: 22238 grad_norm: 24.3529 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 2.0184 loss: 2.0184 2022/07/31 08:39:58 - mmengine - INFO - Epoch(train) [10][2260/2505] lr: 3.2000e-04 eta: 1 day, 8:56:07 time: 0.9359 data_time: 0.5455 memory: 22238 grad_norm: 23.8245 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7530 loss: 1.7530 2022/07/31 08:40:20 - mmengine - INFO - Epoch(train) [10][2280/2505] lr: 3.2000e-04 eta: 1 day, 8:55:57 time: 1.0790 data_time: 0.6984 memory: 22238 grad_norm: 24.5426 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.7079 loss: 1.7079 2022/07/31 08:40:38 - mmengine - INFO - Epoch(train) [10][2300/2505] lr: 3.2000e-04 eta: 1 day, 8:55:31 time: 0.9242 data_time: 0.5305 memory: 22238 grad_norm: 25.0098 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0321 loss: 2.0321 2022/07/31 08:41:00 - mmengine - INFO - Epoch(train) [10][2320/2505] lr: 3.2000e-04 eta: 1 day, 8:55:18 time: 1.0548 data_time: 0.6579 memory: 22238 grad_norm: 24.1668 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7868 loss: 1.7868 2022/07/31 08:41:17 - mmengine - INFO - Epoch(train) [10][2340/2505] lr: 3.2000e-04 eta: 1 day, 8:54:48 time: 0.8751 data_time: 0.4873 memory: 22238 grad_norm: 24.2778 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0100 loss: 2.0100 2022/07/31 08:41:39 - mmengine - INFO - Epoch(train) [10][2360/2505] lr: 3.2000e-04 eta: 1 day, 8:54:39 time: 1.0956 data_time: 0.6874 memory: 22238 grad_norm: 23.9466 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7580 loss: 1.7580 2022/07/31 08:41:58 - mmengine - INFO - Epoch(train) [10][2380/2505] lr: 3.2000e-04 eta: 1 day, 8:54:14 time: 0.9247 data_time: 0.5357 memory: 22238 grad_norm: 24.6221 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7167 loss: 1.7167 2022/07/31 08:42:17 - mmengine - INFO - Epoch(train) [10][2400/2505] lr: 3.2000e-04 eta: 1 day, 8:53:52 time: 0.9660 data_time: 0.5746 memory: 22238 grad_norm: 24.0186 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8221 loss: 1.8221 2022/07/31 08:42:36 - mmengine - INFO - Epoch(train) [10][2420/2505] lr: 3.2000e-04 eta: 1 day, 8:53:31 time: 0.9641 data_time: 0.5536 memory: 22238 grad_norm: 24.2559 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.9972 loss: 1.9972 2022/07/31 08:42:57 - mmengine - INFO - Epoch(train) [10][2440/2505] lr: 3.2000e-04 eta: 1 day, 8:53:18 time: 1.0605 data_time: 0.6675 memory: 22238 grad_norm: 25.2472 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8750 loss: 1.8750 2022/07/31 08:43:09 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 08:43:15 - mmengine - INFO - Epoch(train) [10][2460/2505] lr: 3.2000e-04 eta: 1 day, 8:52:51 time: 0.9085 data_time: 0.5191 memory: 22238 grad_norm: 24.4665 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7664 loss: 1.7664 2022/07/31 08:43:37 - mmengine - INFO - Epoch(train) [10][2480/2505] lr: 3.2000e-04 eta: 1 day, 8:52:40 time: 1.0699 data_time: 0.6661 memory: 22238 grad_norm: 24.1763 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9685 loss: 1.9685 2022/07/31 08:43:51 - mmengine - INFO - Epoch(train) [10][2500/2505] lr: 3.2000e-04 eta: 1 day, 8:51:55 time: 0.7217 data_time: 0.3217 memory: 22238 grad_norm: 24.8489 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.9121 loss: 1.9121 2022/07/31 08:43:53 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 08:43:53 - mmengine - INFO - Epoch(train) [10][2505/2505] lr: 3.2000e-04 eta: 1 day, 8:51:55 time: 0.6945 data_time: 0.3138 memory: 22238 grad_norm: 25.3662 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.8473 loss: 1.8473 2022/07/31 08:43:53 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/07/31 08:44:22 - mmengine - INFO - Epoch(train) [11][20/2505] lr: 3.5000e-04 eta: 1 day, 8:51:35 time: 1.2806 data_time: 0.8910 memory: 22238 grad_norm: 25.1260 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.8059 loss: 1.8059 2022/07/31 08:44:40 - mmengine - INFO - Epoch(train) [11][40/2505] lr: 3.5000e-04 eta: 1 day, 8:51:06 time: 0.8886 data_time: 0.4963 memory: 22238 grad_norm: 25.2643 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8543 loss: 1.8543 2022/07/31 08:45:02 - mmengine - INFO - Epoch(train) [11][60/2505] lr: 3.5000e-04 eta: 1 day, 8:50:57 time: 1.0909 data_time: 0.6880 memory: 22238 grad_norm: 24.8211 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.0103 loss: 2.0103 2022/07/31 08:45:21 - mmengine - INFO - Epoch(train) [11][80/2505] lr: 3.5000e-04 eta: 1 day, 8:50:34 time: 0.9487 data_time: 0.5331 memory: 22238 grad_norm: 24.5154 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 2.0410 loss: 2.0410 2022/07/31 08:45:42 - mmengine - INFO - Epoch(train) [11][100/2505] lr: 3.5000e-04 eta: 1 day, 8:50:22 time: 1.0628 data_time: 0.6541 memory: 22238 grad_norm: 24.1261 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9496 loss: 1.9496 2022/07/31 08:45:59 - mmengine - INFO - Epoch(train) [11][120/2505] lr: 3.5000e-04 eta: 1 day, 8:49:51 time: 0.8683 data_time: 0.4743 memory: 22238 grad_norm: 25.4084 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7917 loss: 1.7917 2022/07/31 08:46:21 - mmengine - INFO - Epoch(train) [11][140/2505] lr: 3.5000e-04 eta: 1 day, 8:49:41 time: 1.0832 data_time: 0.6751 memory: 22238 grad_norm: 24.5293 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6261 loss: 1.6261 2022/07/31 08:46:38 - mmengine - INFO - Epoch(train) [11][160/2505] lr: 3.5000e-04 eta: 1 day, 8:49:09 time: 0.8539 data_time: 0.4587 memory: 22238 grad_norm: 24.8058 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0270 loss: 2.0270 2022/07/31 08:47:01 - mmengine - INFO - Epoch(train) [11][180/2505] lr: 3.5000e-04 eta: 1 day, 8:49:03 time: 1.1250 data_time: 0.7246 memory: 22238 grad_norm: 23.9001 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1047 loss: 2.1047 2022/07/31 08:47:17 - mmengine - INFO - Epoch(train) [11][200/2505] lr: 3.5000e-04 eta: 1 day, 8:48:29 time: 0.8390 data_time: 0.4450 memory: 22238 grad_norm: 24.4146 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.1946 loss: 2.1946 2022/07/31 08:47:40 - mmengine - INFO - Epoch(train) [11][220/2505] lr: 3.5000e-04 eta: 1 day, 8:48:26 time: 1.1533 data_time: 0.7331 memory: 22238 grad_norm: 23.5970 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9449 loss: 1.9449 2022/07/31 08:47:57 - mmengine - INFO - Epoch(train) [11][240/2505] lr: 3.5000e-04 eta: 1 day, 8:47:52 time: 0.8362 data_time: 0.4431 memory: 22238 grad_norm: 23.1210 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6719 loss: 1.6719 2022/07/31 08:48:19 - mmengine - INFO - Epoch(train) [11][260/2505] lr: 3.5000e-04 eta: 1 day, 8:47:44 time: 1.1080 data_time: 0.6983 memory: 22238 grad_norm: 24.8128 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8239 loss: 1.8239 2022/07/31 08:48:36 - mmengine - INFO - Epoch(train) [11][280/2505] lr: 3.5000e-04 eta: 1 day, 8:47:12 time: 0.8584 data_time: 0.4652 memory: 22238 grad_norm: 24.8247 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0543 loss: 2.0543 2022/07/31 08:48:59 - mmengine - INFO - Epoch(train) [11][300/2505] lr: 3.5000e-04 eta: 1 day, 8:47:04 time: 1.1056 data_time: 0.6903 memory: 22238 grad_norm: 23.7086 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8995 loss: 1.8995 2022/07/31 08:49:16 - mmengine - INFO - Epoch(train) [11][320/2505] lr: 3.5000e-04 eta: 1 day, 8:46:32 time: 0.8490 data_time: 0.4559 memory: 22238 grad_norm: 23.5399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8667 loss: 1.8667 2022/07/31 08:49:37 - mmengine - INFO - Epoch(train) [11][340/2505] lr: 3.5000e-04 eta: 1 day, 8:46:21 time: 1.0806 data_time: 0.6760 memory: 22238 grad_norm: 24.4394 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8097 loss: 1.8097 2022/07/31 08:49:55 - mmengine - INFO - Epoch(train) [11][360/2505] lr: 3.5000e-04 eta: 1 day, 8:45:53 time: 0.8921 data_time: 0.5009 memory: 22238 grad_norm: 23.7933 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7260 loss: 1.7260 2022/07/31 08:50:18 - mmengine - INFO - Epoch(train) [11][380/2505] lr: 3.5000e-04 eta: 1 day, 8:45:47 time: 1.1282 data_time: 0.7227 memory: 22238 grad_norm: 24.5987 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9685 loss: 1.9685 2022/07/31 08:50:34 - mmengine - INFO - Epoch(train) [11][400/2505] lr: 3.5000e-04 eta: 1 day, 8:45:12 time: 0.8284 data_time: 0.4250 memory: 22238 grad_norm: 23.3327 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.8723 loss: 1.8723 2022/07/31 08:50:56 - mmengine - INFO - Epoch(train) [11][420/2505] lr: 3.5000e-04 eta: 1 day, 8:45:02 time: 1.0779 data_time: 0.6787 memory: 22238 grad_norm: 23.5534 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0445 loss: 2.0445 2022/07/31 08:51:14 - mmengine - INFO - Epoch(train) [11][440/2505] lr: 3.5000e-04 eta: 1 day, 8:44:34 time: 0.8963 data_time: 0.5023 memory: 22238 grad_norm: 23.5290 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9262 loss: 1.9262 2022/07/31 08:51:35 - mmengine - INFO - Epoch(train) [11][460/2505] lr: 3.5000e-04 eta: 1 day, 8:44:24 time: 1.0858 data_time: 0.6895 memory: 22238 grad_norm: 23.7123 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9736 loss: 1.9736 2022/07/31 08:51:53 - mmengine - INFO - Epoch(train) [11][480/2505] lr: 3.5000e-04 eta: 1 day, 8:43:52 time: 0.8573 data_time: 0.4578 memory: 22238 grad_norm: 24.5076 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.0391 loss: 2.0391 2022/07/31 08:52:15 - mmengine - INFO - Epoch(train) [11][500/2505] lr: 3.5000e-04 eta: 1 day, 8:43:46 time: 1.1304 data_time: 0.7312 memory: 22238 grad_norm: 23.9174 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.2862 loss: 2.2862 2022/07/31 08:52:32 - mmengine - INFO - Epoch(train) [11][520/2505] lr: 3.5000e-04 eta: 1 day, 8:43:14 time: 0.8471 data_time: 0.4446 memory: 22238 grad_norm: 23.7482 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8262 loss: 1.8262 2022/07/31 08:52:54 - mmengine - INFO - Epoch(train) [11][540/2505] lr: 3.5000e-04 eta: 1 day, 8:43:05 time: 1.1041 data_time: 0.7037 memory: 22238 grad_norm: 23.9233 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7737 loss: 1.7737 2022/07/31 08:53:11 - mmengine - INFO - Epoch(train) [11][560/2505] lr: 3.5000e-04 eta: 1 day, 8:42:33 time: 0.8482 data_time: 0.4408 memory: 22238 grad_norm: 23.4154 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8535 loss: 1.8535 2022/07/31 08:53:33 - mmengine - INFO - Epoch(train) [11][580/2505] lr: 3.5000e-04 eta: 1 day, 8:42:25 time: 1.1080 data_time: 0.7120 memory: 22238 grad_norm: 24.6852 top1_acc: 0.1667 top5_acc: 0.6667 loss_cls: 1.9169 loss: 1.9169 2022/07/31 08:53:50 - mmengine - INFO - Epoch(train) [11][600/2505] lr: 3.5000e-04 eta: 1 day, 8:41:53 time: 0.8522 data_time: 0.4345 memory: 22238 grad_norm: 24.0725 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7651 loss: 1.7651 2022/07/31 08:54:14 - mmengine - INFO - Epoch(train) [11][620/2505] lr: 3.5000e-04 eta: 1 day, 8:41:50 time: 1.1662 data_time: 0.7745 memory: 22238 grad_norm: 23.4319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7786 loss: 1.7786 2022/07/31 08:54:30 - mmengine - INFO - Epoch(train) [11][640/2505] lr: 3.5000e-04 eta: 1 day, 8:41:16 time: 0.8343 data_time: 0.4087 memory: 22238 grad_norm: 23.7108 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 1.9333 loss: 1.9333 2022/07/31 08:54:53 - mmengine - INFO - Epoch(train) [11][660/2505] lr: 3.5000e-04 eta: 1 day, 8:41:08 time: 1.1102 data_time: 0.7112 memory: 22238 grad_norm: 23.5003 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9889 loss: 1.9889 2022/07/31 08:55:10 - mmengine - INFO - Epoch(train) [11][680/2505] lr: 3.5000e-04 eta: 1 day, 8:40:38 time: 0.8736 data_time: 0.4606 memory: 22238 grad_norm: 24.1738 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7891 loss: 1.7891 2022/07/31 08:55:32 - mmengine - INFO - Epoch(train) [11][700/2505] lr: 3.5000e-04 eta: 1 day, 8:40:28 time: 1.0781 data_time: 0.6647 memory: 22238 grad_norm: 24.7976 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6980 loss: 1.6980 2022/07/31 08:55:48 - mmengine - INFO - Epoch(train) [11][720/2505] lr: 3.5000e-04 eta: 1 day, 8:39:55 time: 0.8423 data_time: 0.4377 memory: 22238 grad_norm: 24.3685 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8433 loss: 1.8433 2022/07/31 08:56:11 - mmengine - INFO - Epoch(train) [11][740/2505] lr: 3.5000e-04 eta: 1 day, 8:39:48 time: 1.1196 data_time: 0.6996 memory: 22238 grad_norm: 24.3075 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8435 loss: 1.8435 2022/07/31 08:56:28 - mmengine - INFO - Epoch(train) [11][760/2505] lr: 3.5000e-04 eta: 1 day, 8:39:17 time: 0.8684 data_time: 0.4634 memory: 22238 grad_norm: 24.5503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8015 loss: 1.8015 2022/07/31 08:56:51 - mmengine - INFO - Epoch(train) [11][780/2505] lr: 3.5000e-04 eta: 1 day, 8:39:10 time: 1.1213 data_time: 0.7018 memory: 22238 grad_norm: 23.9235 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.1300 loss: 2.1300 2022/07/31 08:57:08 - mmengine - INFO - Epoch(train) [11][800/2505] lr: 3.5000e-04 eta: 1 day, 8:38:39 time: 0.8606 data_time: 0.4674 memory: 22238 grad_norm: 23.8768 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8994 loss: 1.8994 2022/07/31 08:57:29 - mmengine - INFO - Epoch(train) [11][820/2505] lr: 3.5000e-04 eta: 1 day, 8:38:27 time: 1.0653 data_time: 0.6554 memory: 22238 grad_norm: 23.8001 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9898 loss: 1.9898 2022/07/31 08:57:47 - mmengine - INFO - Epoch(train) [11][840/2505] lr: 3.5000e-04 eta: 1 day, 8:37:59 time: 0.8889 data_time: 0.4961 memory: 22238 grad_norm: 24.2998 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7748 loss: 1.7748 2022/07/31 08:58:08 - mmengine - INFO - Epoch(train) [11][860/2505] lr: 3.5000e-04 eta: 1 day, 8:37:46 time: 1.0628 data_time: 0.6457 memory: 22238 grad_norm: 24.1817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8822 loss: 1.8822 2022/07/31 08:58:26 - mmengine - INFO - Epoch(train) [11][880/2505] lr: 3.5000e-04 eta: 1 day, 8:37:17 time: 0.8863 data_time: 0.4761 memory: 22238 grad_norm: 24.1823 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7412 loss: 1.7412 2022/07/31 08:58:47 - mmengine - INFO - Epoch(train) [11][900/2505] lr: 3.5000e-04 eta: 1 day, 8:37:05 time: 1.0675 data_time: 0.6584 memory: 22238 grad_norm: 24.3133 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.0006 loss: 2.0006 2022/07/31 08:59:05 - mmengine - INFO - Epoch(train) [11][920/2505] lr: 3.5000e-04 eta: 1 day, 8:36:37 time: 0.8889 data_time: 0.4810 memory: 22238 grad_norm: 24.0288 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7852 loss: 1.7852 2022/07/31 08:59:26 - mmengine - INFO - Epoch(train) [11][940/2505] lr: 3.5000e-04 eta: 1 day, 8:36:22 time: 1.0344 data_time: 0.6222 memory: 22238 grad_norm: 23.6768 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.2596 loss: 2.2596 2022/07/31 08:59:35 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 08:59:44 - mmengine - INFO - Epoch(train) [11][960/2505] lr: 3.5000e-04 eta: 1 day, 8:35:57 time: 0.9265 data_time: 0.5237 memory: 22238 grad_norm: 24.1016 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8860 loss: 1.8860 2022/07/31 09:00:06 - mmengine - INFO - Epoch(train) [11][980/2505] lr: 3.5000e-04 eta: 1 day, 8:35:46 time: 1.0732 data_time: 0.6814 memory: 22238 grad_norm: 23.9162 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7738 loss: 1.7738 2022/07/31 09:00:24 - mmengine - INFO - Epoch(train) [11][1000/2505] lr: 3.5000e-04 eta: 1 day, 8:35:19 time: 0.9110 data_time: 0.4598 memory: 22238 grad_norm: 24.8877 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8660 loss: 1.8660 2022/07/31 09:00:45 - mmengine - INFO - Epoch(train) [11][1020/2505] lr: 3.5000e-04 eta: 1 day, 8:35:08 time: 1.0712 data_time: 0.6740 memory: 22238 grad_norm: 23.1246 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9169 loss: 1.9169 2022/07/31 09:01:03 - mmengine - INFO - Epoch(train) [11][1040/2505] lr: 3.5000e-04 eta: 1 day, 8:34:40 time: 0.8989 data_time: 0.4766 memory: 22238 grad_norm: 24.1376 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1752 loss: 2.1752 2022/07/31 09:01:26 - mmengine - INFO - Epoch(train) [11][1060/2505] lr: 3.5000e-04 eta: 1 day, 8:34:33 time: 1.1251 data_time: 0.7286 memory: 22238 grad_norm: 23.8070 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8051 loss: 1.8051 2022/07/31 09:01:43 - mmengine - INFO - Epoch(train) [11][1080/2505] lr: 3.5000e-04 eta: 1 day, 8:34:03 time: 0.8680 data_time: 0.4510 memory: 22238 grad_norm: 23.3977 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8642 loss: 1.8642 2022/07/31 09:02:05 - mmengine - INFO - Epoch(train) [11][1100/2505] lr: 3.5000e-04 eta: 1 day, 8:33:53 time: 1.0849 data_time: 0.6528 memory: 22238 grad_norm: 23.1016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8644 loss: 1.8644 2022/07/31 09:02:22 - mmengine - INFO - Epoch(train) [11][1120/2505] lr: 3.5000e-04 eta: 1 day, 8:33:21 time: 0.8584 data_time: 0.4277 memory: 22238 grad_norm: 24.4603 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9247 loss: 1.9247 2022/07/31 09:02:44 - mmengine - INFO - Epoch(train) [11][1140/2505] lr: 3.5000e-04 eta: 1 day, 8:33:14 time: 1.1145 data_time: 0.6884 memory: 22238 grad_norm: 23.0432 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9934 loss: 1.9934 2022/07/31 09:03:02 - mmengine - INFO - Epoch(train) [11][1160/2505] lr: 3.5000e-04 eta: 1 day, 8:32:44 time: 0.8721 data_time: 0.4592 memory: 22238 grad_norm: 23.7178 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8517 loss: 1.8517 2022/07/31 09:03:24 - mmengine - INFO - Epoch(train) [11][1180/2505] lr: 3.5000e-04 eta: 1 day, 8:32:34 time: 1.0883 data_time: 0.6739 memory: 22238 grad_norm: 24.1767 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8790 loss: 1.8790 2022/07/31 09:03:40 - mmengine - INFO - Epoch(train) [11][1200/2505] lr: 3.5000e-04 eta: 1 day, 8:32:01 time: 0.8392 data_time: 0.4383 memory: 22238 grad_norm: 24.1788 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8636 loss: 1.8636 2022/07/31 09:04:02 - mmengine - INFO - Epoch(train) [11][1220/2505] lr: 3.5000e-04 eta: 1 day, 8:31:51 time: 1.0895 data_time: 0.6746 memory: 22238 grad_norm: 23.5240 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9495 loss: 1.9495 2022/07/31 09:04:19 - mmengine - INFO - Epoch(train) [11][1240/2505] lr: 3.5000e-04 eta: 1 day, 8:31:18 time: 0.8434 data_time: 0.4411 memory: 22238 grad_norm: 24.5081 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1082 loss: 2.1082 2022/07/31 09:04:42 - mmengine - INFO - Epoch(train) [11][1260/2505] lr: 3.5000e-04 eta: 1 day, 8:31:11 time: 1.1246 data_time: 0.6085 memory: 22238 grad_norm: 23.5527 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8433 loss: 1.8433 2022/07/31 09:04:58 - mmengine - INFO - Epoch(train) [11][1280/2505] lr: 3.5000e-04 eta: 1 day, 8:30:38 time: 0.8325 data_time: 0.3845 memory: 22238 grad_norm: 23.1875 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.0199 loss: 2.0199 2022/07/31 09:05:20 - mmengine - INFO - Epoch(train) [11][1300/2505] lr: 3.5000e-04 eta: 1 day, 8:30:30 time: 1.1081 data_time: 0.6843 memory: 22238 grad_norm: 24.8259 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0407 loss: 2.0407 2022/07/31 09:05:38 - mmengine - INFO - Epoch(train) [11][1320/2505] lr: 3.5000e-04 eta: 1 day, 8:30:00 time: 0.8798 data_time: 0.4874 memory: 22238 grad_norm: 24.0335 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6608 loss: 1.6608 2022/07/31 09:06:00 - mmengine - INFO - Epoch(train) [11][1340/2505] lr: 3.5000e-04 eta: 1 day, 8:29:51 time: 1.0933 data_time: 0.6367 memory: 22238 grad_norm: 23.4340 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8748 loss: 1.8748 2022/07/31 09:06:18 - mmengine - INFO - Epoch(train) [11][1360/2505] lr: 3.5000e-04 eta: 1 day, 8:29:26 time: 0.9240 data_time: 0.5354 memory: 22238 grad_norm: 24.2152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8028 loss: 1.8028 2022/07/31 09:06:39 - mmengine - INFO - Epoch(train) [11][1380/2505] lr: 3.5000e-04 eta: 1 day, 8:29:12 time: 1.0554 data_time: 0.6483 memory: 22238 grad_norm: 23.0491 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9628 loss: 1.9628 2022/07/31 09:06:58 - mmengine - INFO - Epoch(train) [11][1400/2505] lr: 3.5000e-04 eta: 1 day, 8:28:47 time: 0.9241 data_time: 0.5094 memory: 22238 grad_norm: 23.7958 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.8777 loss: 1.8777 2022/07/31 09:07:18 - mmengine - INFO - Epoch(train) [11][1420/2505] lr: 3.5000e-04 eta: 1 day, 8:28:31 time: 1.0185 data_time: 0.6166 memory: 22238 grad_norm: 23.9266 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.1107 loss: 2.1107 2022/07/31 09:07:37 - mmengine - INFO - Epoch(train) [11][1440/2505] lr: 3.5000e-04 eta: 1 day, 8:28:07 time: 0.9405 data_time: 0.5297 memory: 22238 grad_norm: 23.3401 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.2134 loss: 2.2134 2022/07/31 09:07:58 - mmengine - INFO - Epoch(train) [11][1460/2505] lr: 3.5000e-04 eta: 1 day, 8:27:51 time: 1.0215 data_time: 0.6233 memory: 22238 grad_norm: 23.3254 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7797 loss: 1.7797 2022/07/31 09:08:16 - mmengine - INFO - Epoch(train) [11][1480/2505] lr: 3.5000e-04 eta: 1 day, 8:27:27 time: 0.9336 data_time: 0.5335 memory: 22238 grad_norm: 23.4957 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7343 loss: 1.7343 2022/07/31 09:08:37 - mmengine - INFO - Epoch(train) [11][1500/2505] lr: 3.5000e-04 eta: 1 day, 8:27:10 time: 1.0168 data_time: 0.6110 memory: 22238 grad_norm: 23.5363 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8997 loss: 1.8997 2022/07/31 09:08:56 - mmengine - INFO - Epoch(train) [11][1520/2505] lr: 3.5000e-04 eta: 1 day, 8:26:50 time: 0.9766 data_time: 0.5744 memory: 22238 grad_norm: 23.7156 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9971 loss: 1.9971 2022/07/31 09:09:16 - mmengine - INFO - Epoch(train) [11][1540/2505] lr: 3.5000e-04 eta: 1 day, 8:26:31 time: 0.9975 data_time: 0.6039 memory: 22238 grad_norm: 24.0347 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8489 loss: 1.8489 2022/07/31 09:09:35 - mmengine - INFO - Epoch(train) [11][1560/2505] lr: 3.5000e-04 eta: 1 day, 8:26:09 time: 0.9556 data_time: 0.5645 memory: 22238 grad_norm: 24.0107 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8638 loss: 1.8638 2022/07/31 09:09:55 - mmengine - INFO - Epoch(train) [11][1580/2505] lr: 3.5000e-04 eta: 1 day, 8:25:51 time: 1.0038 data_time: 0.6079 memory: 22238 grad_norm: 23.0942 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9828 loss: 1.9828 2022/07/31 09:10:15 - mmengine - INFO - Epoch(train) [11][1600/2505] lr: 3.5000e-04 eta: 1 day, 8:25:32 time: 0.9865 data_time: 0.5807 memory: 22238 grad_norm: 23.7176 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9519 loss: 1.9519 2022/07/31 09:10:34 - mmengine - INFO - Epoch(train) [11][1620/2505] lr: 3.5000e-04 eta: 1 day, 8:25:08 time: 0.9446 data_time: 0.5411 memory: 22238 grad_norm: 23.4542 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7425 loss: 1.7425 2022/07/31 09:10:55 - mmengine - INFO - Epoch(train) [11][1640/2505] lr: 3.5000e-04 eta: 1 day, 8:24:56 time: 1.0704 data_time: 0.6689 memory: 22238 grad_norm: 22.9478 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1068 loss: 2.1068 2022/07/31 09:11:13 - mmengine - INFO - Epoch(train) [11][1660/2505] lr: 3.5000e-04 eta: 1 day, 8:24:28 time: 0.8888 data_time: 0.4535 memory: 22238 grad_norm: 23.5122 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.0553 loss: 2.0553 2022/07/31 09:11:34 - mmengine - INFO - Epoch(train) [11][1680/2505] lr: 3.5000e-04 eta: 1 day, 8:24:16 time: 1.0684 data_time: 0.5941 memory: 22238 grad_norm: 23.5466 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.0336 loss: 2.0336 2022/07/31 09:11:53 - mmengine - INFO - Epoch(train) [11][1700/2505] lr: 3.5000e-04 eta: 1 day, 8:23:49 time: 0.9039 data_time: 0.4999 memory: 22238 grad_norm: 22.2931 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9701 loss: 1.9701 2022/07/31 09:12:14 - mmengine - INFO - Epoch(train) [11][1720/2505] lr: 3.5000e-04 eta: 1 day, 8:23:37 time: 1.0719 data_time: 0.6810 memory: 22238 grad_norm: 23.2197 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0021 loss: 2.0021 2022/07/31 09:12:32 - mmengine - INFO - Epoch(train) [11][1740/2505] lr: 3.5000e-04 eta: 1 day, 8:23:11 time: 0.9043 data_time: 0.4984 memory: 22238 grad_norm: 23.8897 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7576 loss: 1.7576 2022/07/31 09:12:54 - mmengine - INFO - Epoch(train) [11][1760/2505] lr: 3.5000e-04 eta: 1 day, 8:23:01 time: 1.0926 data_time: 0.6955 memory: 22238 grad_norm: 23.6066 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9847 loss: 1.9847 2022/07/31 09:13:11 - mmengine - INFO - Epoch(train) [11][1780/2505] lr: 3.5000e-04 eta: 1 day, 8:22:31 time: 0.8765 data_time: 0.4738 memory: 22238 grad_norm: 23.4027 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8985 loss: 1.8985 2022/07/31 09:13:33 - mmengine - INFO - Epoch(train) [11][1800/2505] lr: 3.5000e-04 eta: 1 day, 8:22:20 time: 1.0816 data_time: 0.6908 memory: 22238 grad_norm: 23.7341 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6966 loss: 1.6966 2022/07/31 09:13:51 - mmengine - INFO - Epoch(train) [11][1820/2505] lr: 3.5000e-04 eta: 1 day, 8:21:53 time: 0.8940 data_time: 0.4928 memory: 22238 grad_norm: 23.3535 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7854 loss: 1.7854 2022/07/31 09:14:12 - mmengine - INFO - Epoch(train) [11][1840/2505] lr: 3.5000e-04 eta: 1 day, 8:21:38 time: 1.0345 data_time: 0.6271 memory: 22238 grad_norm: 24.0398 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8308 loss: 1.8308 2022/07/31 09:14:30 - mmengine - INFO - Epoch(train) [11][1860/2505] lr: 3.5000e-04 eta: 1 day, 8:21:12 time: 0.9180 data_time: 0.5143 memory: 22238 grad_norm: 23.2741 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7714 loss: 1.7714 2022/07/31 09:14:51 - mmengine - INFO - Epoch(train) [11][1880/2505] lr: 3.5000e-04 eta: 1 day, 8:20:57 time: 1.0383 data_time: 0.6387 memory: 22238 grad_norm: 22.7564 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7918 loss: 1.7918 2022/07/31 09:15:10 - mmengine - INFO - Epoch(train) [11][1900/2505] lr: 3.5000e-04 eta: 1 day, 8:20:35 time: 0.9586 data_time: 0.5633 memory: 22238 grad_norm: 23.9851 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.9481 loss: 1.9481 2022/07/31 09:15:31 - mmengine - INFO - Epoch(train) [11][1920/2505] lr: 3.5000e-04 eta: 1 day, 8:20:22 time: 1.0519 data_time: 0.6530 memory: 22238 grad_norm: 24.0532 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7991 loss: 1.7991 2022/07/31 09:15:50 - mmengine - INFO - Epoch(train) [11][1940/2505] lr: 3.5000e-04 eta: 1 day, 8:19:58 time: 0.9398 data_time: 0.5479 memory: 22238 grad_norm: 23.2784 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9614 loss: 1.9614 2022/07/31 09:15:59 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 09:16:11 - mmengine - INFO - Epoch(train) [11][1960/2505] lr: 3.5000e-04 eta: 1 day, 8:19:43 time: 1.0400 data_time: 0.6459 memory: 22238 grad_norm: 24.0017 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.7757 loss: 1.7757 2022/07/31 09:16:29 - mmengine - INFO - Epoch(train) [11][1980/2505] lr: 3.5000e-04 eta: 1 day, 8:19:16 time: 0.8979 data_time: 0.4476 memory: 22238 grad_norm: 22.9056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0224 loss: 2.0224 2022/07/31 09:16:51 - mmengine - INFO - Epoch(train) [11][2000/2505] lr: 3.5000e-04 eta: 1 day, 8:19:09 time: 1.1336 data_time: 0.7264 memory: 22238 grad_norm: 23.4103 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9374 loss: 1.9374 2022/07/31 09:17:08 - mmengine - INFO - Epoch(train) [11][2020/2505] lr: 3.5000e-04 eta: 1 day, 8:18:39 time: 0.8624 data_time: 0.4684 memory: 22238 grad_norm: 23.4560 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8608 loss: 1.8608 2022/07/31 09:17:30 - mmengine - INFO - Epoch(train) [11][2040/2505] lr: 3.5000e-04 eta: 1 day, 8:18:28 time: 1.0849 data_time: 0.6783 memory: 22238 grad_norm: 23.0477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8991 loss: 1.8991 2022/07/31 09:17:47 - mmengine - INFO - Epoch(train) [11][2060/2505] lr: 3.5000e-04 eta: 1 day, 8:17:58 time: 0.8615 data_time: 0.4574 memory: 22238 grad_norm: 22.4675 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9989 loss: 1.9989 2022/07/31 09:18:10 - mmengine - INFO - Epoch(train) [11][2080/2505] lr: 3.5000e-04 eta: 1 day, 8:17:50 time: 1.1188 data_time: 0.7138 memory: 22238 grad_norm: 23.9067 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7605 loss: 1.7605 2022/07/31 09:18:27 - mmengine - INFO - Epoch(train) [11][2100/2505] lr: 3.5000e-04 eta: 1 day, 8:17:19 time: 0.8498 data_time: 0.4481 memory: 22238 grad_norm: 22.5121 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7481 loss: 1.7481 2022/07/31 09:18:49 - mmengine - INFO - Epoch(train) [11][2120/2505] lr: 3.5000e-04 eta: 1 day, 8:17:09 time: 1.0972 data_time: 0.6985 memory: 22238 grad_norm: 23.3882 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8628 loss: 1.8628 2022/07/31 09:19:06 - mmengine - INFO - Epoch(train) [11][2140/2505] lr: 3.5000e-04 eta: 1 day, 8:16:39 time: 0.8696 data_time: 0.4645 memory: 22238 grad_norm: 23.8204 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8442 loss: 1.8442 2022/07/31 09:19:27 - mmengine - INFO - Epoch(train) [11][2160/2505] lr: 3.5000e-04 eta: 1 day, 8:16:27 time: 1.0679 data_time: 0.6645 memory: 22238 grad_norm: 24.0966 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7182 loss: 1.7182 2022/07/31 09:19:45 - mmengine - INFO - Epoch(train) [11][2180/2505] lr: 3.5000e-04 eta: 1 day, 8:15:58 time: 0.8791 data_time: 0.4739 memory: 22238 grad_norm: 23.9009 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6877 loss: 1.6877 2022/07/31 09:20:07 - mmengine - INFO - Epoch(train) [11][2200/2505] lr: 3.5000e-04 eta: 1 day, 8:15:48 time: 1.0951 data_time: 0.6982 memory: 22238 grad_norm: 23.0301 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8165 loss: 1.8165 2022/07/31 09:20:24 - mmengine - INFO - Epoch(train) [11][2220/2505] lr: 3.5000e-04 eta: 1 day, 8:15:18 time: 0.8650 data_time: 0.4623 memory: 22238 grad_norm: 23.4122 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.0139 loss: 2.0139 2022/07/31 09:20:46 - mmengine - INFO - Epoch(train) [11][2240/2505] lr: 3.5000e-04 eta: 1 day, 8:15:09 time: 1.1042 data_time: 0.7057 memory: 22238 grad_norm: 23.3446 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8992 loss: 1.8992 2022/07/31 09:21:04 - mmengine - INFO - Epoch(train) [11][2260/2505] lr: 3.5000e-04 eta: 1 day, 8:14:39 time: 0.8660 data_time: 0.4585 memory: 22238 grad_norm: 23.5168 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7778 loss: 1.7778 2022/07/31 09:21:25 - mmengine - INFO - Epoch(train) [11][2280/2505] lr: 3.5000e-04 eta: 1 day, 8:14:27 time: 1.0797 data_time: 0.6822 memory: 22238 grad_norm: 23.9852 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6436 loss: 1.6436 2022/07/31 09:21:43 - mmengine - INFO - Epoch(train) [11][2300/2505] lr: 3.5000e-04 eta: 1 day, 8:13:59 time: 0.8857 data_time: 0.4938 memory: 22238 grad_norm: 24.0418 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.9727 loss: 1.9727 2022/07/31 09:22:05 - mmengine - INFO - Epoch(train) [11][2320/2505] lr: 3.5000e-04 eta: 1 day, 8:13:52 time: 1.1235 data_time: 0.7255 memory: 22238 grad_norm: 22.3874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8632 loss: 1.8632 2022/07/31 09:22:23 - mmengine - INFO - Epoch(train) [11][2340/2505] lr: 3.5000e-04 eta: 1 day, 8:13:23 time: 0.8842 data_time: 0.4861 memory: 22238 grad_norm: 23.7092 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9473 loss: 1.9473 2022/07/31 09:22:45 - mmengine - INFO - Epoch(train) [11][2360/2505] lr: 3.5000e-04 eta: 1 day, 8:13:12 time: 1.0854 data_time: 0.6938 memory: 22238 grad_norm: 23.9258 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8166 loss: 1.8166 2022/07/31 09:23:02 - mmengine - INFO - Epoch(train) [11][2380/2505] lr: 3.5000e-04 eta: 1 day, 8:12:41 time: 0.8524 data_time: 0.4500 memory: 22238 grad_norm: 22.4519 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9948 loss: 1.9948 2022/07/31 09:23:23 - mmengine - INFO - Epoch(train) [11][2400/2505] lr: 3.5000e-04 eta: 1 day, 8:12:29 time: 1.0671 data_time: 0.6768 memory: 22238 grad_norm: 23.0469 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8073 loss: 1.8073 2022/07/31 09:23:41 - mmengine - INFO - Epoch(train) [11][2420/2505] lr: 3.5000e-04 eta: 1 day, 8:12:00 time: 0.8733 data_time: 0.4778 memory: 22238 grad_norm: 22.7012 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7656 loss: 1.7656 2022/07/31 09:24:04 - mmengine - INFO - Epoch(train) [11][2440/2505] lr: 3.5000e-04 eta: 1 day, 8:11:56 time: 1.1736 data_time: 0.7681 memory: 22238 grad_norm: 22.8970 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8073 loss: 1.8073 2022/07/31 09:24:21 - mmengine - INFO - Epoch(train) [11][2460/2505] lr: 3.5000e-04 eta: 1 day, 8:11:25 time: 0.8460 data_time: 0.4547 memory: 22238 grad_norm: 23.4686 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8851 loss: 1.8851 2022/07/31 09:24:43 - mmengine - INFO - Epoch(train) [11][2480/2505] lr: 3.5000e-04 eta: 1 day, 8:11:14 time: 1.0902 data_time: 0.6705 memory: 22238 grad_norm: 22.9308 top1_acc: 0.0833 top5_acc: 0.3333 loss_cls: 2.0776 loss: 2.0776 2022/07/31 09:24:57 - mmengine - INFO - Epoch(train) [11][2500/2505] lr: 3.5000e-04 eta: 1 day, 8:10:31 time: 0.7031 data_time: 0.3149 memory: 22238 grad_norm: 23.0829 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8575 loss: 1.8575 2022/07/31 09:24:59 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 09:24:59 - mmengine - INFO - Epoch(train) [11][2505/2505] lr: 3.5000e-04 eta: 1 day, 8:10:31 time: 0.6870 data_time: 0.3072 memory: 22238 grad_norm: 23.4967 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.9223 loss: 1.9223 2022/07/31 09:25:25 - mmengine - INFO - Epoch(train) [12][20/2505] lr: 3.8000e-04 eta: 1 day, 8:10:12 time: 1.2950 data_time: 0.6881 memory: 22238 grad_norm: 23.2117 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7320 loss: 1.7320 2022/07/31 09:25:43 - mmengine - INFO - Epoch(train) [12][40/2505] lr: 3.8000e-04 eta: 1 day, 8:09:48 time: 0.9345 data_time: 0.2565 memory: 22238 grad_norm: 23.4096 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6666 loss: 1.6666 2022/07/31 09:26:05 - mmengine - INFO - Epoch(train) [12][60/2505] lr: 3.8000e-04 eta: 1 day, 8:09:37 time: 1.0928 data_time: 0.1636 memory: 22238 grad_norm: 23.2788 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.8275 loss: 1.8275 2022/07/31 09:26:23 - mmengine - INFO - Epoch(train) [12][80/2505] lr: 3.8000e-04 eta: 1 day, 8:09:07 time: 0.8618 data_time: 0.1149 memory: 22238 grad_norm: 24.1864 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9049 loss: 1.9049 2022/07/31 09:26:45 - mmengine - INFO - Epoch(train) [12][100/2505] lr: 3.8000e-04 eta: 1 day, 8:09:00 time: 1.1250 data_time: 0.0704 memory: 22238 grad_norm: 24.4376 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7304 loss: 1.7304 2022/07/31 09:27:03 - mmengine - INFO - Epoch(train) [12][120/2505] lr: 3.8000e-04 eta: 1 day, 8:08:32 time: 0.8906 data_time: 0.0299 memory: 22238 grad_norm: 23.7248 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8317 loss: 1.8317 2022/07/31 09:27:25 - mmengine - INFO - Epoch(train) [12][140/2505] lr: 3.8000e-04 eta: 1 day, 8:08:23 time: 1.1155 data_time: 0.0275 memory: 22238 grad_norm: 23.0820 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.8246 loss: 1.8246 2022/07/31 09:27:43 - mmengine - INFO - Epoch(train) [12][160/2505] lr: 3.8000e-04 eta: 1 day, 8:07:55 time: 0.8843 data_time: 0.0264 memory: 22238 grad_norm: 23.6324 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8730 loss: 1.8730 2022/07/31 09:28:05 - mmengine - INFO - Epoch(train) [12][180/2505] lr: 3.8000e-04 eta: 1 day, 8:07:45 time: 1.0949 data_time: 0.0285 memory: 22238 grad_norm: 23.2557 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7856 loss: 1.7856 2022/07/31 09:28:22 - mmengine - INFO - Epoch(train) [12][200/2505] lr: 3.8000e-04 eta: 1 day, 8:07:16 time: 0.8689 data_time: 0.0269 memory: 22238 grad_norm: 24.6112 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7682 loss: 1.7682 2022/07/31 09:28:45 - mmengine - INFO - Epoch(train) [12][220/2505] lr: 3.8000e-04 eta: 1 day, 8:07:07 time: 1.1174 data_time: 0.0296 memory: 22238 grad_norm: 23.4527 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0675 loss: 2.0675 2022/07/31 09:29:01 - mmengine - INFO - Epoch(train) [12][240/2505] lr: 3.8000e-04 eta: 1 day, 8:06:35 time: 0.8370 data_time: 0.0276 memory: 22238 grad_norm: 23.4213 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.9117 loss: 1.9117 2022/07/31 09:29:24 - mmengine - INFO - Epoch(train) [12][260/2505] lr: 3.8000e-04 eta: 1 day, 8:06:26 time: 1.1140 data_time: 0.0289 memory: 22238 grad_norm: 23.9170 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8140 loss: 1.8140 2022/07/31 09:29:41 - mmengine - INFO - Epoch(train) [12][280/2505] lr: 3.8000e-04 eta: 1 day, 8:05:56 time: 0.8550 data_time: 0.0298 memory: 22238 grad_norm: 23.4397 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9377 loss: 1.9377 2022/07/31 09:30:03 - mmengine - INFO - Epoch(train) [12][300/2505] lr: 3.8000e-04 eta: 1 day, 8:05:46 time: 1.0974 data_time: 0.0282 memory: 22238 grad_norm: 24.1097 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9510 loss: 1.9510 2022/07/31 09:30:21 - mmengine - INFO - Epoch(train) [12][320/2505] lr: 3.8000e-04 eta: 1 day, 8:05:21 time: 0.9273 data_time: 0.0309 memory: 22238 grad_norm: 23.6563 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7668 loss: 1.7668 2022/07/31 09:30:42 - mmengine - INFO - Epoch(train) [12][340/2505] lr: 3.8000e-04 eta: 1 day, 8:05:06 time: 1.0328 data_time: 0.0276 memory: 22238 grad_norm: 23.0964 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.1462 loss: 2.1462 2022/07/31 09:31:01 - mmengine - INFO - Epoch(train) [12][360/2505] lr: 3.8000e-04 eta: 1 day, 8:04:43 time: 0.9481 data_time: 0.0343 memory: 22238 grad_norm: 23.9865 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9765 loss: 1.9765 2022/07/31 09:31:20 - mmengine - INFO - Epoch(train) [12][380/2505] lr: 3.8000e-04 eta: 1 day, 8:04:22 time: 0.9708 data_time: 0.0330 memory: 22238 grad_norm: 23.0749 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9174 loss: 1.9174 2022/07/31 09:31:40 - mmengine - INFO - Epoch(train) [12][400/2505] lr: 3.8000e-04 eta: 1 day, 8:04:02 time: 0.9726 data_time: 0.0298 memory: 22238 grad_norm: 23.1702 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8569 loss: 1.8569 2022/07/31 09:32:00 - mmengine - INFO - Epoch(train) [12][420/2505] lr: 3.8000e-04 eta: 1 day, 8:03:47 time: 1.0385 data_time: 0.0346 memory: 22238 grad_norm: 23.3516 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8353 loss: 1.8353 2022/07/31 09:32:18 - mmengine - INFO - Epoch(train) [12][440/2505] lr: 3.8000e-04 eta: 1 day, 8:03:19 time: 0.8932 data_time: 0.0323 memory: 22238 grad_norm: 22.6014 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9781 loss: 1.9781 2022/07/31 09:32:25 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 09:32:40 - mmengine - INFO - Epoch(train) [12][460/2505] lr: 3.8000e-04 eta: 1 day, 8:03:08 time: 1.0880 data_time: 0.0282 memory: 22238 grad_norm: 23.1151 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1537 loss: 2.1537 2022/07/31 09:32:58 - mmengine - INFO - Epoch(train) [12][480/2505] lr: 3.8000e-04 eta: 1 day, 8:02:42 time: 0.9088 data_time: 0.0304 memory: 22238 grad_norm: 24.1988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0148 loss: 2.0148 2022/07/31 09:33:19 - mmengine - INFO - Epoch(train) [12][500/2505] lr: 3.8000e-04 eta: 1 day, 8:02:26 time: 1.0208 data_time: 0.0324 memory: 22238 grad_norm: 23.4069 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8424 loss: 1.8424 2022/07/31 09:33:38 - mmengine - INFO - Epoch(train) [12][520/2505] lr: 3.8000e-04 eta: 1 day, 8:02:03 time: 0.9487 data_time: 0.0283 memory: 22238 grad_norm: 23.5883 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8424 loss: 1.8424 2022/07/31 09:33:59 - mmengine - INFO - Epoch(train) [12][540/2505] lr: 3.8000e-04 eta: 1 day, 8:01:52 time: 1.0873 data_time: 0.0317 memory: 22238 grad_norm: 23.8488 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7920 loss: 1.7920 2022/07/31 09:34:17 - mmengine - INFO - Epoch(train) [12][560/2505] lr: 3.8000e-04 eta: 1 day, 8:01:25 time: 0.8954 data_time: 0.0283 memory: 22238 grad_norm: 23.6455 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8861 loss: 1.8861 2022/07/31 09:34:40 - mmengine - INFO - Epoch(train) [12][580/2505] lr: 3.8000e-04 eta: 1 day, 8:01:16 time: 1.1097 data_time: 0.0368 memory: 22238 grad_norm: 23.2661 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5229 loss: 1.5229 2022/07/31 09:34:57 - mmengine - INFO - Epoch(train) [12][600/2505] lr: 3.8000e-04 eta: 1 day, 8:00:45 time: 0.8543 data_time: 0.0321 memory: 22238 grad_norm: 22.3441 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0627 loss: 2.0627 2022/07/31 09:35:19 - mmengine - INFO - Epoch(train) [12][620/2505] lr: 3.8000e-04 eta: 1 day, 8:00:36 time: 1.1031 data_time: 0.0356 memory: 22238 grad_norm: 23.4240 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6963 loss: 1.6963 2022/07/31 09:35:37 - mmengine - INFO - Epoch(train) [12][640/2505] lr: 3.8000e-04 eta: 1 day, 8:00:08 time: 0.8917 data_time: 0.0322 memory: 22238 grad_norm: 23.7006 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7614 loss: 1.7614 2022/07/31 09:35:59 - mmengine - INFO - Epoch(train) [12][660/2505] lr: 3.8000e-04 eta: 1 day, 7:59:59 time: 1.1086 data_time: 0.0327 memory: 22238 grad_norm: 23.2907 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8256 loss: 1.8256 2022/07/31 09:36:16 - mmengine - INFO - Epoch(train) [12][680/2505] lr: 3.8000e-04 eta: 1 day, 7:59:28 time: 0.8483 data_time: 0.0272 memory: 22238 grad_norm: 22.5317 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8385 loss: 1.8385 2022/07/31 09:36:38 - mmengine - INFO - Epoch(train) [12][700/2505] lr: 3.8000e-04 eta: 1 day, 7:59:21 time: 1.1342 data_time: 0.0324 memory: 22238 grad_norm: 23.7431 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.9773 loss: 1.9773 2022/07/31 09:36:55 - mmengine - INFO - Epoch(train) [12][720/2505] lr: 3.8000e-04 eta: 1 day, 7:58:49 time: 0.8391 data_time: 0.0269 memory: 22238 grad_norm: 23.0965 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.0344 loss: 2.0344 2022/07/31 09:37:17 - mmengine - INFO - Epoch(train) [12][740/2505] lr: 3.8000e-04 eta: 1 day, 7:58:40 time: 1.1073 data_time: 0.0318 memory: 22238 grad_norm: 23.7349 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9273 loss: 1.9273 2022/07/31 09:37:35 - mmengine - INFO - Epoch(train) [12][760/2505] lr: 3.8000e-04 eta: 1 day, 7:58:11 time: 0.8741 data_time: 0.0273 memory: 22238 grad_norm: 23.0064 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0982 loss: 2.0982 2022/07/31 09:37:57 - mmengine - INFO - Epoch(train) [12][780/2505] lr: 3.8000e-04 eta: 1 day, 7:58:03 time: 1.1222 data_time: 0.0333 memory: 22238 grad_norm: 22.4363 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0760 loss: 2.0760 2022/07/31 09:38:15 - mmengine - INFO - Epoch(train) [12][800/2505] lr: 3.8000e-04 eta: 1 day, 7:57:33 time: 0.8662 data_time: 0.0292 memory: 22238 grad_norm: 22.5703 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.8257 loss: 1.8257 2022/07/31 09:38:37 - mmengine - INFO - Epoch(train) [12][820/2505] lr: 3.8000e-04 eta: 1 day, 7:57:24 time: 1.1063 data_time: 0.0324 memory: 22238 grad_norm: 22.5671 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8083 loss: 1.8083 2022/07/31 09:38:54 - mmengine - INFO - Epoch(train) [12][840/2505] lr: 3.8000e-04 eta: 1 day, 7:56:53 time: 0.8553 data_time: 0.0293 memory: 22238 grad_norm: 22.3846 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7344 loss: 1.7344 2022/07/31 09:39:16 - mmengine - INFO - Epoch(train) [12][860/2505] lr: 3.8000e-04 eta: 1 day, 7:56:43 time: 1.0917 data_time: 0.0313 memory: 22238 grad_norm: 23.1209 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.7139 loss: 1.7139 2022/07/31 09:39:33 - mmengine - INFO - Epoch(train) [12][880/2505] lr: 3.8000e-04 eta: 1 day, 7:56:13 time: 0.8580 data_time: 0.0279 memory: 22238 grad_norm: 23.4176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6651 loss: 1.6651 2022/07/31 09:39:54 - mmengine - INFO - Epoch(train) [12][900/2505] lr: 3.8000e-04 eta: 1 day, 7:56:00 time: 1.0766 data_time: 0.0276 memory: 22238 grad_norm: 23.8472 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7264 loss: 1.7264 2022/07/31 09:40:13 - mmengine - INFO - Epoch(train) [12][920/2505] lr: 3.8000e-04 eta: 1 day, 7:55:37 time: 0.9381 data_time: 0.0304 memory: 22238 grad_norm: 22.6556 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9532 loss: 1.9532 2022/07/31 09:40:34 - mmengine - INFO - Epoch(train) [12][940/2505] lr: 3.8000e-04 eta: 1 day, 7:55:24 time: 1.0664 data_time: 0.0309 memory: 22238 grad_norm: 23.3489 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9488 loss: 1.9488 2022/07/31 09:40:52 - mmengine - INFO - Epoch(train) [12][960/2505] lr: 3.8000e-04 eta: 1 day, 7:54:55 time: 0.8690 data_time: 0.0276 memory: 22238 grad_norm: 23.4938 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.1527 loss: 2.1527 2022/07/31 09:41:13 - mmengine - INFO - Epoch(train) [12][980/2505] lr: 3.8000e-04 eta: 1 day, 7:54:43 time: 1.0762 data_time: 0.0282 memory: 22238 grad_norm: 23.7496 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7769 loss: 1.7769 2022/07/31 09:41:31 - mmengine - INFO - Epoch(train) [12][1000/2505] lr: 3.8000e-04 eta: 1 day, 7:54:16 time: 0.9005 data_time: 0.0295 memory: 22238 grad_norm: 22.9998 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8391 loss: 1.8391 2022/07/31 09:41:52 - mmengine - INFO - Epoch(train) [12][1020/2505] lr: 3.8000e-04 eta: 1 day, 7:54:00 time: 1.0289 data_time: 0.0271 memory: 22238 grad_norm: 23.6743 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9708 loss: 1.9708 2022/07/31 09:42:10 - mmengine - INFO - Epoch(train) [12][1040/2505] lr: 3.8000e-04 eta: 1 day, 7:53:33 time: 0.8931 data_time: 0.0279 memory: 22238 grad_norm: 23.1687 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8145 loss: 1.8145 2022/07/31 09:42:31 - mmengine - INFO - Epoch(train) [12][1060/2505] lr: 3.8000e-04 eta: 1 day, 7:53:20 time: 1.0610 data_time: 0.0290 memory: 22238 grad_norm: 23.2575 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.1104 loss: 2.1104 2022/07/31 09:42:48 - mmengine - INFO - Epoch(train) [12][1080/2505] lr: 3.8000e-04 eta: 1 day, 7:52:48 time: 0.8372 data_time: 0.0275 memory: 22238 grad_norm: 22.9559 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9183 loss: 1.9183 2022/07/31 09:43:11 - mmengine - INFO - Epoch(train) [12][1100/2505] lr: 3.8000e-04 eta: 1 day, 7:52:42 time: 1.1542 data_time: 0.0272 memory: 22238 grad_norm: 24.1570 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7877 loss: 1.7877 2022/07/31 09:43:28 - mmengine - INFO - Epoch(train) [12][1120/2505] lr: 3.8000e-04 eta: 1 day, 7:52:15 time: 0.8829 data_time: 0.0268 memory: 22238 grad_norm: 22.3666 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8648 loss: 1.8648 2022/07/31 09:43:50 - mmengine - INFO - Epoch(train) [12][1140/2505] lr: 3.8000e-04 eta: 1 day, 7:52:04 time: 1.0937 data_time: 0.0281 memory: 22238 grad_norm: 23.1518 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8138 loss: 1.8138 2022/07/31 09:44:08 - mmengine - INFO - Epoch(train) [12][1160/2505] lr: 3.8000e-04 eta: 1 day, 7:51:35 time: 0.8741 data_time: 0.0276 memory: 22238 grad_norm: 23.7103 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.8605 loss: 1.8605 2022/07/31 09:44:29 - mmengine - INFO - Epoch(train) [12][1180/2505] lr: 3.8000e-04 eta: 1 day, 7:51:23 time: 1.0786 data_time: 0.0279 memory: 22238 grad_norm: 23.1371 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7963 loss: 1.7963 2022/07/31 09:44:47 - mmengine - INFO - Epoch(train) [12][1200/2505] lr: 3.8000e-04 eta: 1 day, 7:50:54 time: 0.8714 data_time: 0.0309 memory: 22238 grad_norm: 23.1212 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9429 loss: 1.9429 2022/07/31 09:45:09 - mmengine - INFO - Epoch(train) [12][1220/2505] lr: 3.8000e-04 eta: 1 day, 7:50:47 time: 1.1310 data_time: 0.0313 memory: 22238 grad_norm: 23.9887 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8206 loss: 1.8206 2022/07/31 09:45:26 - mmengine - INFO - Epoch(train) [12][1240/2505] lr: 3.8000e-04 eta: 1 day, 7:50:13 time: 0.8125 data_time: 0.0288 memory: 22238 grad_norm: 23.8426 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9295 loss: 1.9295 2022/07/31 09:45:47 - mmengine - INFO - Epoch(train) [12][1260/2505] lr: 3.8000e-04 eta: 1 day, 7:50:00 time: 1.0666 data_time: 0.0327 memory: 22238 grad_norm: 23.4580 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9752 loss: 1.9752 2022/07/31 09:46:07 - mmengine - INFO - Epoch(train) [12][1280/2505] lr: 3.8000e-04 eta: 1 day, 7:49:41 time: 0.9888 data_time: 0.0323 memory: 22238 grad_norm: 23.7735 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7040 loss: 1.7040 2022/07/31 09:46:27 - mmengine - INFO - Epoch(train) [12][1300/2505] lr: 3.8000e-04 eta: 1 day, 7:49:25 time: 1.0330 data_time: 0.0357 memory: 22238 grad_norm: 23.7061 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.8311 loss: 1.8311 2022/07/31 09:46:44 - mmengine - INFO - Epoch(train) [12][1320/2505] lr: 3.8000e-04 eta: 1 day, 7:48:53 time: 0.8319 data_time: 0.0289 memory: 22238 grad_norm: 22.3797 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9264 loss: 1.9264 2022/07/31 09:47:06 - mmengine - INFO - Epoch(train) [12][1340/2505] lr: 3.8000e-04 eta: 1 day, 7:48:41 time: 1.0747 data_time: 0.0286 memory: 22238 grad_norm: 21.4311 top1_acc: 0.1667 top5_acc: 0.5833 loss_cls: 1.8163 loss: 1.8163 2022/07/31 09:47:23 - mmengine - INFO - Epoch(train) [12][1360/2505] lr: 3.8000e-04 eta: 1 day, 7:48:13 time: 0.8865 data_time: 0.0280 memory: 22238 grad_norm: 23.7652 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.8518 loss: 1.8518 2022/07/31 09:47:45 - mmengine - INFO - Epoch(train) [12][1380/2505] lr: 3.8000e-04 eta: 1 day, 7:48:00 time: 1.0694 data_time: 0.0289 memory: 22238 grad_norm: 23.3622 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0122 loss: 2.0122 2022/07/31 09:48:02 - mmengine - INFO - Epoch(train) [12][1400/2505] lr: 3.8000e-04 eta: 1 day, 7:47:32 time: 0.8760 data_time: 0.0284 memory: 22238 grad_norm: 22.8613 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0665 loss: 2.0665 2022/07/31 09:48:25 - mmengine - INFO - Epoch(train) [12][1420/2505] lr: 3.8000e-04 eta: 1 day, 7:47:24 time: 1.1259 data_time: 0.0296 memory: 22238 grad_norm: 21.5206 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8430 loss: 1.8430 2022/07/31 09:48:42 - mmengine - INFO - Epoch(train) [12][1440/2505] lr: 3.8000e-04 eta: 1 day, 7:46:56 time: 0.8765 data_time: 0.0326 memory: 22238 grad_norm: 23.4633 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9223 loss: 1.9223 2022/07/31 09:48:48 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 09:49:03 - mmengine - INFO - Epoch(train) [12][1460/2505] lr: 3.8000e-04 eta: 1 day, 7:46:42 time: 1.0549 data_time: 0.0272 memory: 22238 grad_norm: 22.4645 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9995 loss: 1.9995 2022/07/31 09:49:21 - mmengine - INFO - Epoch(train) [12][1480/2505] lr: 3.8000e-04 eta: 1 day, 7:46:15 time: 0.9007 data_time: 0.0288 memory: 22238 grad_norm: 23.3749 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7490 loss: 1.7490 2022/07/31 09:49:43 - mmengine - INFO - Epoch(train) [12][1500/2505] lr: 3.8000e-04 eta: 1 day, 7:46:04 time: 1.0891 data_time: 0.0319 memory: 22238 grad_norm: 22.8737 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8363 loss: 1.8363 2022/07/31 09:50:00 - mmengine - INFO - Epoch(train) [12][1520/2505] lr: 3.8000e-04 eta: 1 day, 7:45:35 time: 0.8634 data_time: 0.0342 memory: 22238 grad_norm: 23.0914 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7490 loss: 1.7490 2022/07/31 09:50:23 - mmengine - INFO - Epoch(train) [12][1540/2505] lr: 3.8000e-04 eta: 1 day, 7:45:25 time: 1.1070 data_time: 0.0296 memory: 22238 grad_norm: 23.2970 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8063 loss: 1.8063 2022/07/31 09:50:40 - mmengine - INFO - Epoch(train) [12][1560/2505] lr: 3.8000e-04 eta: 1 day, 7:44:57 time: 0.8805 data_time: 0.0299 memory: 22238 grad_norm: 23.4830 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.0754 loss: 2.0754 2022/07/31 09:51:02 - mmengine - INFO - Epoch(train) [12][1580/2505] lr: 3.8000e-04 eta: 1 day, 7:44:45 time: 1.0850 data_time: 0.0276 memory: 22238 grad_norm: 22.7756 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9268 loss: 1.9268 2022/07/31 09:51:19 - mmengine - INFO - Epoch(train) [12][1600/2505] lr: 3.8000e-04 eta: 1 day, 7:44:17 time: 0.8739 data_time: 0.0278 memory: 22238 grad_norm: 23.3673 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.0104 loss: 2.0104 2022/07/31 09:51:42 - mmengine - INFO - Epoch(train) [12][1620/2505] lr: 3.8000e-04 eta: 1 day, 7:44:07 time: 1.1106 data_time: 0.0334 memory: 22238 grad_norm: 22.7906 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7328 loss: 1.7328 2022/07/31 09:51:59 - mmengine - INFO - Epoch(train) [12][1640/2505] lr: 3.8000e-04 eta: 1 day, 7:43:38 time: 0.8657 data_time: 0.0353 memory: 22238 grad_norm: 22.5773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7083 loss: 1.7083 2022/07/31 09:52:21 - mmengine - INFO - Epoch(train) [12][1660/2505] lr: 3.8000e-04 eta: 1 day, 7:43:27 time: 1.0894 data_time: 0.0331 memory: 22238 grad_norm: 23.5734 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1062 loss: 2.1062 2022/07/31 09:52:38 - mmengine - INFO - Epoch(train) [12][1680/2505] lr: 3.8000e-04 eta: 1 day, 7:42:59 time: 0.8775 data_time: 0.0318 memory: 22238 grad_norm: 22.0089 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 2.0429 loss: 2.0429 2022/07/31 09:53:00 - mmengine - INFO - Epoch(train) [12][1700/2505] lr: 3.8000e-04 eta: 1 day, 7:42:48 time: 1.0899 data_time: 0.0326 memory: 22238 grad_norm: 23.3088 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9307 loss: 1.9307 2022/07/31 09:53:17 - mmengine - INFO - Epoch(train) [12][1720/2505] lr: 3.8000e-04 eta: 1 day, 7:42:17 time: 0.8437 data_time: 0.0332 memory: 22238 grad_norm: 24.3841 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.0295 loss: 2.0295 2022/07/31 09:53:39 - mmengine - INFO - Epoch(train) [12][1740/2505] lr: 3.8000e-04 eta: 1 day, 7:42:05 time: 1.0846 data_time: 0.0317 memory: 22238 grad_norm: 22.3078 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5685 loss: 1.5685 2022/07/31 09:53:56 - mmengine - INFO - Epoch(train) [12][1760/2505] lr: 3.8000e-04 eta: 1 day, 7:41:36 time: 0.8686 data_time: 0.0280 memory: 22238 grad_norm: 23.1278 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9497 loss: 1.9497 2022/07/31 09:54:19 - mmengine - INFO - Epoch(train) [12][1780/2505] lr: 3.8000e-04 eta: 1 day, 7:41:28 time: 1.1321 data_time: 0.0301 memory: 22238 grad_norm: 22.4793 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7409 loss: 1.7409 2022/07/31 09:54:36 - mmengine - INFO - Epoch(train) [12][1800/2505] lr: 3.8000e-04 eta: 1 day, 7:40:59 time: 0.8674 data_time: 0.0334 memory: 22238 grad_norm: 22.4750 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9636 loss: 1.9636 2022/07/31 09:54:58 - mmengine - INFO - Epoch(train) [12][1820/2505] lr: 3.8000e-04 eta: 1 day, 7:40:49 time: 1.1065 data_time: 0.0335 memory: 22238 grad_norm: 22.4380 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8882 loss: 1.8882 2022/07/31 09:55:16 - mmengine - INFO - Epoch(train) [12][1840/2505] lr: 3.8000e-04 eta: 1 day, 7:40:24 time: 0.9059 data_time: 0.0294 memory: 22238 grad_norm: 22.9681 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.7310 loss: 1.7310 2022/07/31 09:55:38 - mmengine - INFO - Epoch(train) [12][1860/2505] lr: 3.8000e-04 eta: 1 day, 7:40:12 time: 1.0857 data_time: 0.0317 memory: 22238 grad_norm: 22.4851 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0390 loss: 2.0390 2022/07/31 09:55:56 - mmengine - INFO - Epoch(train) [12][1880/2505] lr: 3.8000e-04 eta: 1 day, 7:39:44 time: 0.8817 data_time: 0.0321 memory: 22238 grad_norm: 22.7926 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8412 loss: 1.8412 2022/07/31 09:56:17 - mmengine - INFO - Epoch(train) [12][1900/2505] lr: 3.8000e-04 eta: 1 day, 7:39:32 time: 1.0764 data_time: 0.0319 memory: 22238 grad_norm: 22.4062 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.9068 loss: 1.9068 2022/07/31 09:56:34 - mmengine - INFO - Epoch(train) [12][1920/2505] lr: 3.8000e-04 eta: 1 day, 7:39:03 time: 0.8647 data_time: 0.0320 memory: 22238 grad_norm: 22.8496 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7294 loss: 1.7294 2022/07/31 09:56:57 - mmengine - INFO - Epoch(train) [12][1940/2505] lr: 3.8000e-04 eta: 1 day, 7:38:54 time: 1.1228 data_time: 0.0406 memory: 22238 grad_norm: 23.5435 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.8206 loss: 1.8206 2022/07/31 09:57:14 - mmengine - INFO - Epoch(train) [12][1960/2505] lr: 3.8000e-04 eta: 1 day, 7:38:25 time: 0.8602 data_time: 0.0293 memory: 22238 grad_norm: 23.8005 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8605 loss: 1.8605 2022/07/31 09:57:36 - mmengine - INFO - Epoch(train) [12][1980/2505] lr: 3.8000e-04 eta: 1 day, 7:38:12 time: 1.0759 data_time: 0.0279 memory: 22238 grad_norm: 23.3837 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8017 loss: 1.8017 2022/07/31 09:57:53 - mmengine - INFO - Epoch(train) [12][2000/2505] lr: 3.8000e-04 eta: 1 day, 7:37:45 time: 0.8918 data_time: 0.0290 memory: 22238 grad_norm: 22.9362 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8631 loss: 1.8631 2022/07/31 09:58:16 - mmengine - INFO - Epoch(train) [12][2020/2505] lr: 3.8000e-04 eta: 1 day, 7:37:36 time: 1.1201 data_time: 0.0309 memory: 22238 grad_norm: 22.5476 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.0045 loss: 2.0045 2022/07/31 09:58:33 - mmengine - INFO - Epoch(train) [12][2040/2505] lr: 3.8000e-04 eta: 1 day, 7:37:05 time: 0.8418 data_time: 0.0286 memory: 22238 grad_norm: 23.0124 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6125 loss: 1.6125 2022/07/31 09:58:55 - mmengine - INFO - Epoch(train) [12][2060/2505] lr: 3.8000e-04 eta: 1 day, 7:36:54 time: 1.0943 data_time: 0.0268 memory: 22238 grad_norm: 22.5338 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8645 loss: 1.8645 2022/07/31 09:59:12 - mmengine - INFO - Epoch(train) [12][2080/2505] lr: 3.8000e-04 eta: 1 day, 7:36:27 time: 0.8911 data_time: 0.0286 memory: 22238 grad_norm: 22.2131 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7215 loss: 1.7215 2022/07/31 09:59:33 - mmengine - INFO - Epoch(train) [12][2100/2505] lr: 3.8000e-04 eta: 1 day, 7:36:13 time: 1.0519 data_time: 0.0284 memory: 22238 grad_norm: 23.3191 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8079 loss: 1.8079 2022/07/31 09:59:51 - mmengine - INFO - Epoch(train) [12][2120/2505] lr: 3.8000e-04 eta: 1 day, 7:35:45 time: 0.8758 data_time: 0.0312 memory: 22238 grad_norm: 22.7147 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.0304 loss: 2.0304 2022/07/31 10:00:13 - mmengine - INFO - Epoch(train) [12][2140/2505] lr: 3.8000e-04 eta: 1 day, 7:35:35 time: 1.1092 data_time: 0.0281 memory: 22238 grad_norm: 22.9716 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8086 loss: 1.8086 2022/07/31 10:00:31 - mmengine - INFO - Epoch(train) [12][2160/2505] lr: 3.8000e-04 eta: 1 day, 7:35:08 time: 0.8860 data_time: 0.0270 memory: 22238 grad_norm: 22.9851 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0462 loss: 2.0462 2022/07/31 10:00:52 - mmengine - INFO - Epoch(train) [12][2180/2505] lr: 3.8000e-04 eta: 1 day, 7:34:55 time: 1.0768 data_time: 0.0285 memory: 22238 grad_norm: 23.1160 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.8595 loss: 1.8595 2022/07/31 10:01:10 - mmengine - INFO - Epoch(train) [12][2200/2505] lr: 3.8000e-04 eta: 1 day, 7:34:26 time: 0.8659 data_time: 0.0285 memory: 22238 grad_norm: 22.9395 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7605 loss: 1.7605 2022/07/31 10:01:31 - mmengine - INFO - Epoch(train) [12][2220/2505] lr: 3.8000e-04 eta: 1 day, 7:34:14 time: 1.0784 data_time: 0.0283 memory: 22238 grad_norm: 23.3155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8277 loss: 1.8277 2022/07/31 10:01:49 - mmengine - INFO - Epoch(train) [12][2240/2505] lr: 3.8000e-04 eta: 1 day, 7:33:45 time: 0.8659 data_time: 0.0273 memory: 22238 grad_norm: 22.6917 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6243 loss: 1.6243 2022/07/31 10:02:11 - mmengine - INFO - Epoch(train) [12][2260/2505] lr: 3.8000e-04 eta: 1 day, 7:33:37 time: 1.1240 data_time: 0.0273 memory: 22238 grad_norm: 23.2149 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.9910 loss: 1.9910 2022/07/31 10:02:28 - mmengine - INFO - Epoch(train) [12][2280/2505] lr: 3.8000e-04 eta: 1 day, 7:33:06 time: 0.8381 data_time: 0.0273 memory: 22238 grad_norm: 21.6409 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0295 loss: 2.0295 2022/07/31 10:02:49 - mmengine - INFO - Epoch(train) [12][2300/2505] lr: 3.8000e-04 eta: 1 day, 7:32:53 time: 1.0705 data_time: 0.0436 memory: 22238 grad_norm: 22.5669 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.2690 loss: 2.2690 2022/07/31 10:03:07 - mmengine - INFO - Epoch(train) [12][2320/2505] lr: 3.8000e-04 eta: 1 day, 7:32:25 time: 0.8845 data_time: 0.0960 memory: 22238 grad_norm: 22.7154 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8433 loss: 1.8433 2022/07/31 10:03:28 - mmengine - INFO - Epoch(train) [12][2340/2505] lr: 3.8000e-04 eta: 1 day, 7:32:10 time: 1.0391 data_time: 0.1202 memory: 22238 grad_norm: 23.5484 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.1635 loss: 2.1635 2022/07/31 10:03:46 - mmengine - INFO - Epoch(train) [12][2360/2505] lr: 3.8000e-04 eta: 1 day, 7:31:45 time: 0.9216 data_time: 0.2899 memory: 22238 grad_norm: 22.6403 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.7868 loss: 1.7868 2022/07/31 10:04:05 - mmengine - INFO - Epoch(train) [12][2380/2505] lr: 3.8000e-04 eta: 1 day, 7:31:23 time: 0.9493 data_time: 0.2933 memory: 22238 grad_norm: 23.2102 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7568 loss: 1.7568 2022/07/31 10:04:26 - mmengine - INFO - Epoch(train) [12][2400/2505] lr: 3.8000e-04 eta: 1 day, 7:31:07 time: 1.0352 data_time: 0.5342 memory: 22238 grad_norm: 23.3095 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8936 loss: 1.8936 2022/07/31 10:04:45 - mmengine - INFO - Epoch(train) [12][2420/2505] lr: 3.8000e-04 eta: 1 day, 7:30:44 time: 0.9406 data_time: 0.4165 memory: 22238 grad_norm: 23.3799 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.8216 loss: 1.8216 2022/07/31 10:05:06 - mmengine - INFO - Epoch(train) [12][2440/2505] lr: 3.8000e-04 eta: 1 day, 7:30:29 time: 1.0413 data_time: 0.5528 memory: 22238 grad_norm: 22.6662 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8518 loss: 1.8518 2022/07/31 10:05:10 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 10:05:25 - mmengine - INFO - Epoch(train) [12][2460/2505] lr: 3.8000e-04 eta: 1 day, 7:30:08 time: 0.9700 data_time: 0.3094 memory: 22238 grad_norm: 23.7957 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0738 loss: 2.0738 2022/07/31 10:05:45 - mmengine - INFO - Epoch(train) [12][2480/2505] lr: 3.8000e-04 eta: 1 day, 7:29:50 time: 1.0023 data_time: 0.4010 memory: 22238 grad_norm: 21.7664 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.9666 loss: 1.9666 2022/07/31 10:06:02 - mmengine - INFO - Epoch(train) [12][2500/2505] lr: 3.8000e-04 eta: 1 day, 7:29:21 time: 0.8681 data_time: 0.1814 memory: 22238 grad_norm: 21.6312 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7907 loss: 1.7907 2022/07/31 10:06:04 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 10:06:04 - mmengine - INFO - Epoch(train) [12][2505/2505] lr: 3.8000e-04 eta: 1 day, 7:29:21 time: 0.7257 data_time: 0.1704 memory: 22238 grad_norm: 21.5031 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.8192 loss: 1.8192 2022/07/31 10:06:04 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/07/31 10:06:10 - mmengine - INFO - Epoch(val) [12][20/2475] eta: 0:04:26 time: 0.1085 data_time: 0.0879 memory: 564 2022/07/31 10:06:11 - mmengine - INFO - Epoch(val) [12][40/2475] eta: 0:02:34 time: 0.0636 data_time: 0.0457 memory: 564 2022/07/31 10:06:13 - mmengine - INFO - Epoch(val) [12][60/2475] eta: 0:04:03 time: 0.1009 data_time: 0.0839 memory: 564 2022/07/31 10:06:14 - mmengine - INFO - Epoch(val) [12][80/2475] eta: 0:02:55 time: 0.0731 data_time: 0.0554 memory: 564 2022/07/31 10:06:16 - mmengine - INFO - Epoch(val) [12][100/2475] eta: 0:04:08 time: 0.1044 data_time: 0.0859 memory: 564 2022/07/31 10:06:18 - mmengine - INFO - Epoch(val) [12][120/2475] eta: 0:02:46 time: 0.0708 data_time: 0.0514 memory: 564 2022/07/31 10:06:20 - mmengine - INFO - Epoch(val) [12][140/2475] eta: 0:03:37 time: 0.0931 data_time: 0.0722 memory: 564 2022/07/31 10:06:21 - mmengine - INFO - Epoch(val) [12][160/2475] eta: 0:02:35 time: 0.0673 data_time: 0.0459 memory: 564 2022/07/31 10:06:23 - mmengine - INFO - Epoch(val) [12][180/2475] eta: 0:03:23 time: 0.0886 data_time: 0.0687 memory: 564 2022/07/31 10:06:24 - mmengine - INFO - Epoch(val) [12][200/2475] eta: 0:02:15 time: 0.0595 data_time: 0.0422 memory: 564 2022/07/31 10:06:26 - mmengine - INFO - Epoch(val) [12][220/2475] eta: 0:03:35 time: 0.0955 data_time: 0.0771 memory: 564 2022/07/31 10:06:27 - mmengine - INFO - Epoch(val) [12][240/2475] eta: 0:02:40 time: 0.0717 data_time: 0.0544 memory: 564 2022/07/31 10:06:29 - mmengine - INFO - Epoch(val) [12][260/2475] eta: 0:03:54 time: 0.1058 data_time: 0.0874 memory: 564 2022/07/31 10:06:31 - mmengine - INFO - Epoch(val) [12][280/2475] eta: 0:02:16 time: 0.0621 data_time: 0.0424 memory: 564 2022/07/31 10:06:33 - mmengine - INFO - Epoch(val) [12][300/2475] eta: 0:03:32 time: 0.0978 data_time: 0.0761 memory: 564 2022/07/31 10:06:34 - mmengine - INFO - Epoch(val) [12][320/2475] eta: 0:02:23 time: 0.0664 data_time: 0.0465 memory: 564 2022/07/31 10:06:36 - mmengine - INFO - Epoch(val) [12][340/2475] eta: 0:03:05 time: 0.0871 data_time: 0.0673 memory: 564 2022/07/31 10:06:37 - mmengine - INFO - Epoch(val) [12][360/2475] eta: 0:02:16 time: 0.0643 data_time: 0.0463 memory: 564 2022/07/31 10:06:39 - mmengine - INFO - Epoch(val) [12][380/2475] eta: 0:03:10 time: 0.0908 data_time: 0.0703 memory: 564 2022/07/31 10:06:40 - mmengine - INFO - Epoch(val) [12][400/2475] eta: 0:02:10 time: 0.0630 data_time: 0.0438 memory: 564 2022/07/31 10:06:42 - mmengine - INFO - Epoch(val) [12][420/2475] eta: 0:03:22 time: 0.0983 data_time: 0.0789 memory: 564 2022/07/31 10:06:43 - 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mmengine - INFO - Epoch(val) [12][1320/2475] eta: 0:01:42 time: 0.0886 data_time: 0.0677 memory: 564 2022/07/31 10:07:57 - mmengine - INFO - Epoch(val) [12][1340/2475] eta: 0:01:32 time: 0.0815 data_time: 0.0610 memory: 564 2022/07/31 10:07:58 - mmengine - INFO - Epoch(val) [12][1360/2475] eta: 0:01:15 time: 0.0681 data_time: 0.0502 memory: 564 2022/07/31 10:08:00 - mmengine - INFO - Epoch(val) [12][1380/2475] eta: 0:01:42 time: 0.0933 data_time: 0.0740 memory: 564 2022/07/31 10:08:02 - mmengine - INFO - Epoch(val) [12][1400/2475] eta: 0:01:13 time: 0.0682 data_time: 0.0496 memory: 564 2022/07/31 10:08:04 - mmengine - INFO - Epoch(val) [12][1420/2475] eta: 0:01:45 time: 0.1003 data_time: 0.0817 memory: 564 2022/07/31 10:08:05 - mmengine - INFO - Epoch(val) [12][1440/2475] eta: 0:01:09 time: 0.0668 data_time: 0.0494 memory: 564 2022/07/31 10:08:07 - mmengine - INFO - Epoch(val) [12][1460/2475] eta: 0:01:33 time: 0.0920 data_time: 0.0718 memory: 564 2022/07/31 10:08:08 - mmengine - INFO - Epoch(val) [12][1480/2475] eta: 0:01:14 time: 0.0744 data_time: 0.0538 memory: 564 2022/07/31 10:08:10 - mmengine - INFO - Epoch(val) [12][1500/2475] eta: 0:01:19 time: 0.0814 data_time: 0.0635 memory: 564 2022/07/31 10:08:11 - mmengine - INFO - Epoch(val) [12][1520/2475] eta: 0:01:11 time: 0.0747 data_time: 0.0552 memory: 564 2022/07/31 10:08:13 - mmengine - INFO - Epoch(val) [12][1540/2475] eta: 0:01:29 time: 0.0957 data_time: 0.0759 memory: 564 2022/07/31 10:08:15 - mmengine - INFO - Epoch(val) [12][1560/2475] eta: 0:00:57 time: 0.0633 data_time: 0.0426 memory: 564 2022/07/31 10:08:16 - mmengine - INFO - Epoch(val) [12][1580/2475] eta: 0:01:24 time: 0.0949 data_time: 0.0729 memory: 564 2022/07/31 10:08:18 - mmengine - INFO - Epoch(val) [12][1600/2475] eta: 0:01:03 time: 0.0728 data_time: 0.0515 memory: 564 2022/07/31 10:08:20 - mmengine - INFO - Epoch(val) [12][1620/2475] eta: 0:01:21 time: 0.0949 data_time: 0.0760 memory: 564 2022/07/31 10:08:21 - mmengine - INFO - Epoch(val) [12][1640/2475] eta: 0:01:00 time: 0.0727 data_time: 0.0534 memory: 564 2022/07/31 10:08:23 - mmengine - INFO - Epoch(val) [12][1660/2475] eta: 0:01:09 time: 0.0855 data_time: 0.0680 memory: 564 2022/07/31 10:08:24 - mmengine - INFO - Epoch(val) [12][1680/2475] eta: 0:00:54 time: 0.0682 data_time: 0.0482 memory: 564 2022/07/31 10:08:26 - mmengine - INFO - Epoch(val) [12][1700/2475] eta: 0:01:04 time: 0.0839 data_time: 0.0669 memory: 564 2022/07/31 10:08:28 - mmengine - INFO - Epoch(val) [12][1720/2475] eta: 0:00:59 time: 0.0788 data_time: 0.0601 memory: 564 2022/07/31 10:08:29 - mmengine - INFO - Epoch(val) [12][1740/2475] eta: 0:01:04 time: 0.0877 data_time: 0.0682 memory: 564 2022/07/31 10:08:31 - mmengine - INFO - Epoch(val) [12][1760/2475] eta: 0:00:52 time: 0.0740 data_time: 0.0517 memory: 564 2022/07/31 10:08:33 - mmengine - INFO - Epoch(val) [12][1780/2475] eta: 0:01:01 time: 0.0888 data_time: 0.0680 memory: 564 2022/07/31 10:08:34 - mmengine - INFO - Epoch(val) [12][1800/2475] eta: 0:00:53 time: 0.0788 data_time: 0.0602 memory: 564 2022/07/31 10:08:36 - mmengine - INFO - Epoch(val) [12][1820/2475] eta: 0:00:59 time: 0.0911 data_time: 0.0647 memory: 564 2022/07/31 10:08:38 - mmengine - INFO - Epoch(val) [12][1840/2475] eta: 0:00:49 time: 0.0787 data_time: 0.0601 memory: 564 2022/07/31 10:08:39 - mmengine - INFO - Epoch(val) [12][1860/2475] eta: 0:00:45 time: 0.0741 data_time: 0.0560 memory: 564 2022/07/31 10:08:41 - mmengine - INFO - Epoch(val) [12][1880/2475] eta: 0:00:46 time: 0.0789 data_time: 0.0614 memory: 564 2022/07/31 10:08:42 - mmengine - INFO - Epoch(val) [12][1900/2475] eta: 0:00:48 time: 0.0836 data_time: 0.0652 memory: 564 2022/07/31 10:08:44 - mmengine - INFO - Epoch(val) [12][1920/2475] eta: 0:00:37 time: 0.0675 data_time: 0.0501 memory: 564 2022/07/31 10:08:46 - mmengine - INFO - Epoch(val) [12][1940/2475] eta: 0:00:50 time: 0.0953 data_time: 0.0778 memory: 564 2022/07/31 10:08:47 - mmengine - INFO - Epoch(val) [12][1960/2475] eta: 0:00:37 time: 0.0727 data_time: 0.0547 memory: 564 2022/07/31 10:08:49 - mmengine - INFO - Epoch(val) [12][1980/2475] eta: 0:00:41 time: 0.0843 data_time: 0.0647 memory: 564 2022/07/31 10:08:50 - mmengine - INFO - Epoch(val) [12][2000/2475] eta: 0:00:35 time: 0.0743 data_time: 0.0539 memory: 564 2022/07/31 10:08:52 - mmengine - INFO - Epoch(val) [12][2020/2475] eta: 0:00:35 time: 0.0786 data_time: 0.0586 memory: 564 2022/07/31 10:08:54 - mmengine - INFO - Epoch(val) [12][2040/2475] eta: 0:00:39 time: 0.0898 data_time: 0.0700 memory: 564 2022/07/31 10:08:55 - mmengine - INFO - Epoch(val) [12][2060/2475] eta: 0:00:28 time: 0.0692 data_time: 0.0480 memory: 564 2022/07/31 10:08:57 - mmengine - INFO - Epoch(val) [12][2080/2475] eta: 0:00:34 time: 0.0884 data_time: 0.0664 memory: 564 2022/07/31 10:08:58 - mmengine - INFO - Epoch(val) [12][2100/2475] eta: 0:00:28 time: 0.0751 data_time: 0.0575 memory: 564 2022/07/31 10:09:00 - mmengine - INFO - Epoch(val) [12][2120/2475] eta: 0:00:31 time: 0.0895 data_time: 0.0710 memory: 564 2022/07/31 10:09:01 - mmengine - INFO - Epoch(val) [12][2140/2475] eta: 0:00:21 time: 0.0628 data_time: 0.0440 memory: 564 2022/07/31 10:09:03 - mmengine - INFO - Epoch(val) [12][2160/2475] eta: 0:00:28 time: 0.0902 data_time: 0.0721 memory: 564 2022/07/31 10:09:05 - mmengine - INFO - Epoch(val) [12][2180/2475] eta: 0:00:23 time: 0.0780 data_time: 0.0575 memory: 564 2022/07/31 10:09:06 - mmengine - INFO - Epoch(val) [12][2200/2475] eta: 0:00:22 time: 0.0836 data_time: 0.0629 memory: 564 2022/07/31 10:09:08 - mmengine - INFO - Epoch(val) [12][2220/2475] eta: 0:00:22 time: 0.0888 data_time: 0.0699 memory: 564 2022/07/31 10:09:10 - mmengine - INFO - Epoch(val) [12][2240/2475] eta: 0:00:16 time: 0.0709 data_time: 0.0518 memory: 564 2022/07/31 10:09:11 - mmengine - INFO - Epoch(val) [12][2260/2475] eta: 0:00:19 time: 0.0888 data_time: 0.0699 memory: 564 2022/07/31 10:09:13 - mmengine - INFO - Epoch(val) [12][2280/2475] eta: 0:00:14 time: 0.0737 data_time: 0.0537 memory: 564 2022/07/31 10:09:15 - mmengine - INFO - Epoch(val) [12][2300/2475] eta: 0:00:15 time: 0.0884 data_time: 0.0677 memory: 564 2022/07/31 10:09:16 - mmengine - INFO - Epoch(val) [12][2320/2475] eta: 0:00:11 time: 0.0733 data_time: 0.0535 memory: 564 2022/07/31 10:09:18 - mmengine - INFO - Epoch(val) [12][2340/2475] eta: 0:00:10 time: 0.0799 data_time: 0.0594 memory: 564 2022/07/31 10:09:19 - mmengine - INFO - Epoch(val) [12][2360/2475] eta: 0:00:08 time: 0.0748 data_time: 0.0537 memory: 564 2022/07/31 10:09:21 - mmengine - INFO - Epoch(val) [12][2380/2475] eta: 0:00:07 time: 0.0826 data_time: 0.0620 memory: 564 2022/07/31 10:09:22 - mmengine - INFO - Epoch(val) [12][2400/2475] eta: 0:00:06 time: 0.0835 data_time: 0.0626 memory: 564 2022/07/31 10:09:24 - mmengine - INFO - Epoch(val) [12][2420/2475] eta: 0:00:03 time: 0.0681 data_time: 0.0481 memory: 564 2022/07/31 10:09:25 - mmengine - INFO - Epoch(val) [12][2440/2475] eta: 0:00:02 time: 0.0717 data_time: 0.0538 memory: 564 2022/07/31 10:09:26 - mmengine - INFO - Epoch(val) [12][2460/2475] eta: 0:00:00 time: 0.0266 data_time: 0.0102 memory: 564 2022/07/31 10:09:27 - mmengine - INFO - Epoch(val) [12][2475/2475] acc/top1: 0.6407 acc/top5: 0.8577 acc/mean1: 0.6405 2022/07/31 10:09:53 - mmengine - INFO - Epoch(train) [13][20/2505] lr: 4.1000e-04 eta: 1 day, 7:29:02 time: 1.2904 data_time: 0.8454 memory: 22238 grad_norm: 23.8733 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6395 loss: 1.6395 2022/07/31 10:10:11 - mmengine - INFO - Epoch(train) [13][40/2505] lr: 4.1000e-04 eta: 1 day, 7:28:35 time: 0.8984 data_time: 0.3993 memory: 22238 grad_norm: 22.6676 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6852 loss: 1.6852 2022/07/31 10:10:34 - mmengine - INFO - Epoch(train) [13][60/2505] lr: 4.1000e-04 eta: 1 day, 7:28:25 time: 1.1082 data_time: 0.3966 memory: 22238 grad_norm: 22.9137 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8594 loss: 1.8594 2022/07/31 10:10:51 - mmengine - INFO - Epoch(train) [13][80/2505] lr: 4.1000e-04 eta: 1 day, 7:27:57 time: 0.8669 data_time: 0.2148 memory: 22238 grad_norm: 22.8929 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7068 loss: 1.7068 2022/07/31 10:11:13 - mmengine - INFO - Epoch(train) [13][100/2505] lr: 4.1000e-04 eta: 1 day, 7:27:48 time: 1.1244 data_time: 0.2966 memory: 22238 grad_norm: 23.4386 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8264 loss: 1.8264 2022/07/31 10:11:31 - mmengine - INFO - Epoch(train) [13][120/2505] lr: 4.1000e-04 eta: 1 day, 7:27:19 time: 0.8612 data_time: 0.1582 memory: 22238 grad_norm: 23.4394 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 2.1719 loss: 2.1719 2022/07/31 10:11:53 - mmengine - INFO - Epoch(train) [13][140/2505] lr: 4.1000e-04 eta: 1 day, 7:27:09 time: 1.1219 data_time: 0.2410 memory: 22238 grad_norm: 21.4962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6725 loss: 1.6725 2022/07/31 10:12:11 - mmengine - INFO - Epoch(train) [13][160/2505] lr: 4.1000e-04 eta: 1 day, 7:26:43 time: 0.8960 data_time: 0.1779 memory: 22238 grad_norm: 23.3788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0950 loss: 2.0950 2022/07/31 10:12:33 - mmengine - INFO - Epoch(train) [13][180/2505] lr: 4.1000e-04 eta: 1 day, 7:26:30 time: 1.0748 data_time: 0.3343 memory: 22238 grad_norm: 24.4208 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9798 loss: 1.9798 2022/07/31 10:12:51 - mmengine - INFO - Epoch(train) [13][200/2505] lr: 4.1000e-04 eta: 1 day, 7:26:05 time: 0.9100 data_time: 0.2127 memory: 22238 grad_norm: 22.0008 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7712 loss: 1.7712 2022/07/31 10:13:14 - mmengine - INFO - Epoch(train) [13][220/2505] lr: 4.1000e-04 eta: 1 day, 7:25:57 time: 1.1396 data_time: 0.1807 memory: 22238 grad_norm: 23.2024 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7934 loss: 1.7934 2022/07/31 10:13:31 - mmengine - INFO - Epoch(train) [13][240/2505] lr: 4.1000e-04 eta: 1 day, 7:25:30 time: 0.8876 data_time: 0.0894 memory: 22238 grad_norm: 23.4491 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1550 loss: 2.1550 2022/07/31 10:13:52 - mmengine - INFO - Epoch(train) [13][260/2505] lr: 4.1000e-04 eta: 1 day, 7:25:13 time: 1.0182 data_time: 0.1103 memory: 22238 grad_norm: 22.4297 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.9461 loss: 1.9461 2022/07/31 10:14:10 - mmengine - INFO - Epoch(train) [13][280/2505] lr: 4.1000e-04 eta: 1 day, 7:24:48 time: 0.9165 data_time: 0.2182 memory: 22238 grad_norm: 23.3686 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8186 loss: 1.8186 2022/07/31 10:14:32 - mmengine - INFO - Epoch(train) [13][300/2505] lr: 4.1000e-04 eta: 1 day, 7:24:37 time: 1.0935 data_time: 0.1946 memory: 22238 grad_norm: 22.3040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9802 loss: 1.9802 2022/07/31 10:14:49 - mmengine - INFO - Epoch(train) [13][320/2505] lr: 4.1000e-04 eta: 1 day, 7:24:09 time: 0.8750 data_time: 0.0844 memory: 22238 grad_norm: 22.2693 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7517 loss: 1.7517 2022/07/31 10:15:12 - mmengine - INFO - Epoch(train) [13][340/2505] lr: 4.1000e-04 eta: 1 day, 7:24:00 time: 1.1190 data_time: 0.0587 memory: 22238 grad_norm: 23.0773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6128 loss: 1.6128 2022/07/31 10:15:29 - mmengine - INFO - Epoch(train) [13][360/2505] lr: 4.1000e-04 eta: 1 day, 7:23:30 time: 0.8489 data_time: 0.0298 memory: 22238 grad_norm: 23.2635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8374 loss: 1.8374 2022/07/31 10:15:51 - mmengine - INFO - Epoch(train) [13][380/2505] lr: 4.1000e-04 eta: 1 day, 7:23:21 time: 1.1343 data_time: 0.0426 memory: 22238 grad_norm: 23.0836 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7230 loss: 1.7230 2022/07/31 10:16:08 - mmengine - INFO - Epoch(train) [13][400/2505] lr: 4.1000e-04 eta: 1 day, 7:22:50 time: 0.8231 data_time: 0.0315 memory: 22238 grad_norm: 23.6580 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9879 loss: 1.9879 2022/07/31 10:16:30 - mmengine - INFO - Epoch(train) [13][420/2505] lr: 4.1000e-04 eta: 1 day, 7:22:39 time: 1.1027 data_time: 0.0392 memory: 22238 grad_norm: 21.5712 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6327 loss: 1.6327 2022/07/31 10:16:47 - mmengine - INFO - Epoch(train) [13][440/2505] lr: 4.1000e-04 eta: 1 day, 7:22:10 time: 0.8659 data_time: 0.0398 memory: 22238 grad_norm: 23.1622 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7449 loss: 1.7449 2022/07/31 10:17:09 - mmengine - INFO - Epoch(train) [13][460/2505] lr: 4.1000e-04 eta: 1 day, 7:21:57 time: 1.0700 data_time: 0.0898 memory: 22238 grad_norm: 22.6971 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8571 loss: 1.8571 2022/07/31 10:17:25 - mmengine - INFO - Epoch(train) [13][480/2505] lr: 4.1000e-04 eta: 1 day, 7:21:26 time: 0.8339 data_time: 0.0358 memory: 22238 grad_norm: 23.4585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8329 loss: 1.8329 2022/07/31 10:17:47 - mmengine - INFO - Epoch(train) [13][500/2505] lr: 4.1000e-04 eta: 1 day, 7:21:15 time: 1.1003 data_time: 0.0351 memory: 22238 grad_norm: 21.6792 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8236 loss: 1.8236 2022/07/31 10:18:05 - mmengine - INFO - Epoch(train) [13][520/2505] lr: 4.1000e-04 eta: 1 day, 7:20:47 time: 0.8685 data_time: 0.0437 memory: 22238 grad_norm: 22.7401 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8293 loss: 1.8293 2022/07/31 10:18:27 - mmengine - INFO - Epoch(train) [13][540/2505] lr: 4.1000e-04 eta: 1 day, 7:20:36 time: 1.1060 data_time: 0.1261 memory: 22238 grad_norm: 24.0542 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1272 loss: 2.1272 2022/07/31 10:18:45 - mmengine - INFO - Epoch(train) [13][560/2505] lr: 4.1000e-04 eta: 1 day, 7:20:10 time: 0.8929 data_time: 0.1515 memory: 22238 grad_norm: 21.9342 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8272 loss: 1.8272 2022/07/31 10:19:07 - mmengine - INFO - Epoch(train) [13][580/2505] lr: 4.1000e-04 eta: 1 day, 7:20:01 time: 1.1327 data_time: 0.1327 memory: 22238 grad_norm: 23.4625 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8558 loss: 1.8558 2022/07/31 10:19:25 - mmengine - INFO - Epoch(train) [13][600/2505] lr: 4.1000e-04 eta: 1 day, 7:19:33 time: 0.8678 data_time: 0.0406 memory: 22238 grad_norm: 22.3312 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6412 loss: 1.6412 2022/07/31 10:19:47 - mmengine - INFO - Epoch(train) [13][620/2505] lr: 4.1000e-04 eta: 1 day, 7:19:24 time: 1.1252 data_time: 0.0292 memory: 22238 grad_norm: 22.2554 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7327 loss: 1.7327 2022/07/31 10:20:04 - mmengine - INFO - Epoch(train) [13][640/2505] lr: 4.1000e-04 eta: 1 day, 7:18:53 time: 0.8306 data_time: 0.0289 memory: 22238 grad_norm: 22.1473 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8764 loss: 1.8764 2022/07/31 10:20:27 - mmengine - INFO - Epoch(train) [13][660/2505] lr: 4.1000e-04 eta: 1 day, 7:18:45 time: 1.1364 data_time: 0.0497 memory: 22238 grad_norm: 22.2542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6952 loss: 1.6952 2022/07/31 10:20:44 - mmengine - INFO - Epoch(train) [13][680/2505] lr: 4.1000e-04 eta: 1 day, 7:18:17 time: 0.8839 data_time: 0.0349 memory: 22238 grad_norm: 23.0341 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.8671 loss: 1.8671 2022/07/31 10:21:06 - mmengine - INFO - Epoch(train) [13][700/2505] lr: 4.1000e-04 eta: 1 day, 7:18:04 time: 1.0740 data_time: 0.0635 memory: 22238 grad_norm: 22.8137 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8650 loss: 1.8650 2022/07/31 10:21:22 - mmengine - INFO - Epoch(train) [13][720/2505] lr: 4.1000e-04 eta: 1 day, 7:17:34 time: 0.8363 data_time: 0.1063 memory: 22238 grad_norm: 22.1511 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9232 loss: 1.9232 2022/07/31 10:21:44 - mmengine - INFO - Epoch(train) [13][740/2505] lr: 4.1000e-04 eta: 1 day, 7:17:20 time: 1.0625 data_time: 0.3430 memory: 22238 grad_norm: 22.2753 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7093 loss: 1.7093 2022/07/31 10:22:01 - mmengine - INFO - Epoch(train) [13][760/2505] lr: 4.1000e-04 eta: 1 day, 7:16:52 time: 0.8714 data_time: 0.2586 memory: 22238 grad_norm: 23.3772 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8560 loss: 1.8560 2022/07/31 10:22:23 - mmengine - INFO - Epoch(train) [13][780/2505] lr: 4.1000e-04 eta: 1 day, 7:16:41 time: 1.0952 data_time: 0.3303 memory: 22238 grad_norm: 22.8670 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7934 loss: 1.7934 2022/07/31 10:22:41 - mmengine - INFO - Epoch(train) [13][800/2505] lr: 4.1000e-04 eta: 1 day, 7:16:15 time: 0.9020 data_time: 0.1685 memory: 22238 grad_norm: 22.2176 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8304 loss: 1.8304 2022/07/31 10:23:03 - mmengine - INFO - Epoch(train) [13][820/2505] lr: 4.1000e-04 eta: 1 day, 7:16:03 time: 1.0845 data_time: 0.3097 memory: 22238 grad_norm: 23.2004 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.8259 loss: 1.8259 2022/07/31 10:23:21 - mmengine - INFO - Epoch(train) [13][840/2505] lr: 4.1000e-04 eta: 1 day, 7:15:36 time: 0.8954 data_time: 0.2615 memory: 22238 grad_norm: 22.6024 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8339 loss: 1.8339 2022/07/31 10:23:43 - mmengine - INFO - Epoch(train) [13][860/2505] lr: 4.1000e-04 eta: 1 day, 7:15:26 time: 1.1152 data_time: 0.4073 memory: 22238 grad_norm: 23.0640 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 2.0589 loss: 2.0589 2022/07/31 10:24:00 - mmengine - INFO - Epoch(train) [13][880/2505] lr: 4.1000e-04 eta: 1 day, 7:14:59 time: 0.8730 data_time: 0.3788 memory: 22238 grad_norm: 21.8050 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9656 loss: 1.9656 2022/07/31 10:24:23 - mmengine - INFO - Epoch(train) [13][900/2505] lr: 4.1000e-04 eta: 1 day, 7:14:50 time: 1.1307 data_time: 0.4806 memory: 22238 grad_norm: 22.0027 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8446 loss: 1.8446 2022/07/31 10:24:40 - mmengine - INFO - Epoch(train) [13][920/2505] lr: 4.1000e-04 eta: 1 day, 7:14:19 time: 0.8302 data_time: 0.3244 memory: 22238 grad_norm: 23.1784 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7935 loss: 1.7935 2022/07/31 10:25:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 10:25:02 - mmengine - INFO - Epoch(train) [13][940/2505] lr: 4.1000e-04 eta: 1 day, 7:14:08 time: 1.1040 data_time: 0.5296 memory: 22238 grad_norm: 22.7396 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0271 loss: 2.0271 2022/07/31 10:25:20 - mmengine - INFO - Epoch(train) [13][960/2505] lr: 4.1000e-04 eta: 1 day, 7:13:41 time: 0.8891 data_time: 0.3458 memory: 22238 grad_norm: 23.6403 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1716 loss: 2.1716 2022/07/31 10:25:41 - mmengine - INFO - Epoch(train) [13][980/2505] lr: 4.1000e-04 eta: 1 day, 7:13:27 time: 1.0603 data_time: 0.5247 memory: 22238 grad_norm: 23.0674 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7463 loss: 1.7463 2022/07/31 10:25:59 - mmengine - INFO - Epoch(train) [13][1000/2505] lr: 4.1000e-04 eta: 1 day, 7:13:00 time: 0.8872 data_time: 0.4090 memory: 22238 grad_norm: 23.5046 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3923 loss: 1.3923 2022/07/31 10:26:20 - mmengine - INFO - Epoch(train) [13][1020/2505] lr: 4.1000e-04 eta: 1 day, 7:12:47 time: 1.0689 data_time: 0.4634 memory: 22238 grad_norm: 22.6239 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7047 loss: 1.7047 2022/07/31 10:26:38 - mmengine - INFO - Epoch(train) [13][1040/2505] lr: 4.1000e-04 eta: 1 day, 7:12:23 time: 0.9202 data_time: 0.3383 memory: 22238 grad_norm: 23.3727 top1_acc: 0.3333 top5_acc: 1.0000 loss_cls: 1.9585 loss: 1.9585 2022/07/31 10:26:59 - mmengine - INFO - Epoch(train) [13][1060/2505] lr: 4.1000e-04 eta: 1 day, 7:12:06 time: 1.0281 data_time: 0.4039 memory: 22238 grad_norm: 22.4913 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8581 loss: 1.8581 2022/07/31 10:27:18 - mmengine - INFO - Epoch(train) [13][1080/2505] lr: 4.1000e-04 eta: 1 day, 7:11:43 time: 0.9389 data_time: 0.2800 memory: 22238 grad_norm: 23.5947 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9201 loss: 1.9201 2022/07/31 10:27:39 - mmengine - INFO - Epoch(train) [13][1100/2505] lr: 4.1000e-04 eta: 1 day, 7:11:29 time: 1.0568 data_time: 0.4298 memory: 22238 grad_norm: 23.7175 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8836 loss: 1.8836 2022/07/31 10:27:56 - mmengine - INFO - Epoch(train) [13][1120/2505] lr: 4.1000e-04 eta: 1 day, 7:11:00 time: 0.8545 data_time: 0.3479 memory: 22238 grad_norm: 22.7507 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9837 loss: 1.9837 2022/07/31 10:28:17 - mmengine - INFO - Epoch(train) [13][1140/2505] lr: 4.1000e-04 eta: 1 day, 7:10:46 time: 1.0650 data_time: 0.5101 memory: 22238 grad_norm: 21.9139 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.7115 loss: 1.7115 2022/07/31 10:28:36 - mmengine - INFO - Epoch(train) [13][1160/2505] lr: 4.1000e-04 eta: 1 day, 7:10:23 time: 0.9325 data_time: 0.3235 memory: 22238 grad_norm: 22.8980 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8761 loss: 1.8761 2022/07/31 10:28:56 - mmengine - INFO - Epoch(train) [13][1180/2505] lr: 4.1000e-04 eta: 1 day, 7:10:04 time: 1.0037 data_time: 0.4120 memory: 22238 grad_norm: 22.6666 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8632 loss: 1.8632 2022/07/31 10:29:16 - mmengine - INFO - Epoch(train) [13][1200/2505] lr: 4.1000e-04 eta: 1 day, 7:09:45 time: 0.9849 data_time: 0.1527 memory: 22238 grad_norm: 22.2249 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9712 loss: 1.9712 2022/07/31 10:29:35 - mmengine - INFO - Epoch(train) [13][1220/2505] lr: 4.1000e-04 eta: 1 day, 7:09:25 time: 0.9796 data_time: 0.3031 memory: 22238 grad_norm: 23.0922 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7614 loss: 1.7614 2022/07/31 10:29:55 - mmengine - INFO - Epoch(train) [13][1240/2505] lr: 4.1000e-04 eta: 1 day, 7:09:04 time: 0.9678 data_time: 0.2133 memory: 22238 grad_norm: 22.4619 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9883 loss: 1.9883 2022/07/31 10:30:16 - mmengine - INFO - Epoch(train) [13][1260/2505] lr: 4.1000e-04 eta: 1 day, 7:08:49 time: 1.0552 data_time: 0.3609 memory: 22238 grad_norm: 22.1928 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7416 loss: 1.7416 2022/07/31 10:30:33 - mmengine - INFO - Epoch(train) [13][1280/2505] lr: 4.1000e-04 eta: 1 day, 7:08:22 time: 0.8805 data_time: 0.2423 memory: 22238 grad_norm: 21.8651 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.7627 loss: 1.7627 2022/07/31 10:30:55 - mmengine - INFO - Epoch(train) [13][1300/2505] lr: 4.1000e-04 eta: 1 day, 7:08:09 time: 1.0757 data_time: 0.4467 memory: 22238 grad_norm: 22.0338 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6559 loss: 1.6559 2022/07/31 10:31:13 - mmengine - INFO - Epoch(train) [13][1320/2505] lr: 4.1000e-04 eta: 1 day, 7:07:45 time: 0.9251 data_time: 0.2666 memory: 22238 grad_norm: 22.6997 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0512 loss: 2.0512 2022/07/31 10:31:34 - mmengine - INFO - Epoch(train) [13][1340/2505] lr: 4.1000e-04 eta: 1 day, 7:07:30 time: 1.0406 data_time: 0.2360 memory: 22238 grad_norm: 22.3316 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6493 loss: 1.6493 2022/07/31 10:31:52 - mmengine - INFO - Epoch(train) [13][1360/2505] lr: 4.1000e-04 eta: 1 day, 7:07:05 time: 0.9116 data_time: 0.1405 memory: 22238 grad_norm: 22.3753 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8327 loss: 1.8327 2022/07/31 10:32:13 - mmengine - INFO - Epoch(train) [13][1380/2505] lr: 4.1000e-04 eta: 1 day, 7:06:48 time: 1.0294 data_time: 0.2883 memory: 22238 grad_norm: 22.7100 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.9126 loss: 1.9126 2022/07/31 10:32:33 - mmengine - INFO - Epoch(train) [13][1400/2505] lr: 4.1000e-04 eta: 1 day, 7:06:30 time: 1.0021 data_time: 0.1295 memory: 22238 grad_norm: 22.8118 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.1832 loss: 2.1832 2022/07/31 10:32:52 - mmengine - INFO - Epoch(train) [13][1420/2505] lr: 4.1000e-04 eta: 1 day, 7:06:09 time: 0.9640 data_time: 0.0974 memory: 22238 grad_norm: 23.4617 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8049 loss: 1.8049 2022/07/31 10:33:12 - mmengine - INFO - Epoch(train) [13][1440/2505] lr: 4.1000e-04 eta: 1 day, 7:05:49 time: 0.9739 data_time: 0.1774 memory: 22238 grad_norm: 21.9286 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8919 loss: 1.8919 2022/07/31 10:33:32 - mmengine - INFO - Epoch(train) [13][1460/2505] lr: 4.1000e-04 eta: 1 day, 7:05:29 time: 0.9886 data_time: 0.2951 memory: 22238 grad_norm: 22.3334 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8266 loss: 1.8266 2022/07/31 10:33:51 - mmengine - INFO - Epoch(train) [13][1480/2505] lr: 4.1000e-04 eta: 1 day, 7:05:07 time: 0.9525 data_time: 0.2181 memory: 22238 grad_norm: 22.7069 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.9558 loss: 1.9558 2022/07/31 10:34:11 - mmengine - INFO - Epoch(train) [13][1500/2505] lr: 4.1000e-04 eta: 1 day, 7:04:50 time: 1.0144 data_time: 0.3601 memory: 22238 grad_norm: 22.2052 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7697 loss: 1.7697 2022/07/31 10:34:30 - mmengine - INFO - Epoch(train) [13][1520/2505] lr: 4.1000e-04 eta: 1 day, 7:04:28 time: 0.9528 data_time: 0.3669 memory: 22238 grad_norm: 22.4534 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8283 loss: 1.8283 2022/07/31 10:34:50 - mmengine - INFO - Epoch(train) [13][1540/2505] lr: 4.1000e-04 eta: 1 day, 7:04:09 time: 0.9938 data_time: 0.3642 memory: 22238 grad_norm: 22.4158 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8197 loss: 1.8197 2022/07/31 10:35:10 - mmengine - INFO - Epoch(train) [13][1560/2505] lr: 4.1000e-04 eta: 1 day, 7:03:52 time: 1.0163 data_time: 0.1769 memory: 22238 grad_norm: 22.8669 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9044 loss: 1.9044 2022/07/31 10:35:29 - mmengine - INFO - Epoch(train) [13][1580/2505] lr: 4.1000e-04 eta: 1 day, 7:03:30 time: 0.9576 data_time: 0.2954 memory: 22238 grad_norm: 22.6926 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0063 loss: 2.0063 2022/07/31 10:35:48 - mmengine - INFO - Epoch(train) [13][1600/2505] lr: 4.1000e-04 eta: 1 day, 7:03:08 time: 0.9572 data_time: 0.2525 memory: 22238 grad_norm: 22.7014 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7933 loss: 1.7933 2022/07/31 10:36:09 - mmengine - INFO - Epoch(train) [13][1620/2505] lr: 4.1000e-04 eta: 1 day, 7:02:52 time: 1.0288 data_time: 0.4022 memory: 22238 grad_norm: 22.6336 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7099 loss: 1.7099 2022/07/31 10:36:27 - mmengine - INFO - Epoch(train) [13][1640/2505] lr: 4.1000e-04 eta: 1 day, 7:02:27 time: 0.9053 data_time: 0.3984 memory: 22238 grad_norm: 22.0537 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7475 loss: 1.7475 2022/07/31 10:36:48 - mmengine - INFO - Epoch(train) [13][1660/2505] lr: 4.1000e-04 eta: 1 day, 7:02:13 time: 1.0679 data_time: 0.6118 memory: 22238 grad_norm: 23.7609 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7603 loss: 1.7603 2022/07/31 10:37:06 - mmengine - INFO - Epoch(train) [13][1680/2505] lr: 4.1000e-04 eta: 1 day, 7:01:45 time: 0.8638 data_time: 0.4691 memory: 22238 grad_norm: 21.8143 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.8058 loss: 1.8058 2022/07/31 10:37:28 - mmengine - INFO - Epoch(train) [13][1700/2505] lr: 4.1000e-04 eta: 1 day, 7:01:34 time: 1.1053 data_time: 0.6924 memory: 22238 grad_norm: 22.5746 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8881 loss: 1.8881 2022/07/31 10:37:45 - mmengine - INFO - Epoch(train) [13][1720/2505] lr: 4.1000e-04 eta: 1 day, 7:01:05 time: 0.8571 data_time: 0.4498 memory: 22238 grad_norm: 21.1496 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9180 loss: 1.9180 2022/07/31 10:38:07 - mmengine - INFO - Epoch(train) [13][1740/2505] lr: 4.1000e-04 eta: 1 day, 7:00:54 time: 1.1094 data_time: 0.6949 memory: 22238 grad_norm: 22.2776 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.2008 loss: 2.2008 2022/07/31 10:38:25 - mmengine - INFO - Epoch(train) [13][1760/2505] lr: 4.1000e-04 eta: 1 day, 7:00:28 time: 0.8924 data_time: 0.4766 memory: 22238 grad_norm: 22.6668 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.1455 loss: 2.1455 2022/07/31 10:38:46 - mmengine - INFO - Epoch(train) [13][1780/2505] lr: 4.1000e-04 eta: 1 day, 7:00:14 time: 1.0641 data_time: 0.6666 memory: 22238 grad_norm: 22.1579 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8621 loss: 1.8621 2022/07/31 10:39:04 - mmengine - INFO - Epoch(train) [13][1800/2505] lr: 4.1000e-04 eta: 1 day, 6:59:48 time: 0.8941 data_time: 0.4873 memory: 22238 grad_norm: 22.7695 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0253 loss: 2.0253 2022/07/31 10:39:26 - mmengine - INFO - Epoch(train) [13][1820/2505] lr: 4.1000e-04 eta: 1 day, 6:59:35 time: 1.0820 data_time: 0.6797 memory: 22238 grad_norm: 22.8679 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9473 loss: 1.9473 2022/07/31 10:39:43 - mmengine - INFO - Epoch(train) [13][1840/2505] lr: 4.1000e-04 eta: 1 day, 6:59:08 time: 0.8674 data_time: 0.4646 memory: 22238 grad_norm: 22.4983 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9528 loss: 1.9528 2022/07/31 10:40:04 - mmengine - INFO - Epoch(train) [13][1860/2505] lr: 4.1000e-04 eta: 1 day, 6:58:51 time: 1.0264 data_time: 0.6292 memory: 22238 grad_norm: 21.4603 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 2.0041 loss: 2.0041 2022/07/31 10:40:22 - mmengine - INFO - Epoch(train) [13][1880/2505] lr: 4.1000e-04 eta: 1 day, 6:58:25 time: 0.9020 data_time: 0.4968 memory: 22238 grad_norm: 22.8502 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5556 loss: 1.5556 2022/07/31 10:40:43 - mmengine - INFO - Epoch(train) [13][1900/2505] lr: 4.1000e-04 eta: 1 day, 6:58:11 time: 1.0512 data_time: 0.6542 memory: 22238 grad_norm: 23.4242 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7535 loss: 1.7535 2022/07/31 10:41:00 - mmengine - INFO - Epoch(train) [13][1920/2505] lr: 4.1000e-04 eta: 1 day, 6:57:43 time: 0.8796 data_time: 0.4785 memory: 22238 grad_norm: 21.5435 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.7514 loss: 1.7514 2022/07/31 10:41:22 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 10:41:22 - mmengine - INFO - Epoch(train) [13][1940/2505] lr: 4.1000e-04 eta: 1 day, 6:57:30 time: 1.0773 data_time: 0.6180 memory: 22238 grad_norm: 22.3904 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6692 loss: 1.6692 2022/07/31 10:41:41 - mmengine - INFO - Epoch(train) [13][1960/2505] lr: 4.1000e-04 eta: 1 day, 6:57:09 time: 0.9648 data_time: 0.4049 memory: 22238 grad_norm: 21.3264 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5659 loss: 1.5659 2022/07/31 10:42:01 - mmengine - INFO - Epoch(train) [13][1980/2505] lr: 4.1000e-04 eta: 1 day, 6:56:51 time: 1.0081 data_time: 0.2981 memory: 22238 grad_norm: 22.8937 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.8234 loss: 1.8234 2022/07/31 10:42:22 - mmengine - INFO - Epoch(train) [13][2000/2505] lr: 4.1000e-04 eta: 1 day, 6:56:35 time: 1.0315 data_time: 0.1465 memory: 22238 grad_norm: 22.4256 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8749 loss: 1.8749 2022/07/31 10:42:41 - mmengine - INFO - Epoch(train) [13][2020/2505] lr: 4.1000e-04 eta: 1 day, 6:56:11 time: 0.9268 data_time: 0.1933 memory: 22238 grad_norm: 22.5853 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6227 loss: 1.6227 2022/07/31 10:43:02 - mmengine - INFO - Epoch(train) [13][2040/2505] lr: 4.1000e-04 eta: 1 day, 6:55:56 time: 1.0461 data_time: 0.0722 memory: 22238 grad_norm: 22.2676 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0474 loss: 2.0474 2022/07/31 10:43:19 - mmengine - INFO - Epoch(train) [13][2060/2505] lr: 4.1000e-04 eta: 1 day, 6:55:28 time: 0.8690 data_time: 0.0931 memory: 22238 grad_norm: 22.1876 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6666 loss: 1.6666 2022/07/31 10:43:41 - mmengine - INFO - Epoch(train) [13][2080/2505] lr: 4.1000e-04 eta: 1 day, 6:55:16 time: 1.0857 data_time: 0.0738 memory: 22238 grad_norm: 22.3366 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6000 loss: 1.6000 2022/07/31 10:43:58 - mmengine - INFO - Epoch(train) [13][2100/2505] lr: 4.1000e-04 eta: 1 day, 6:54:48 time: 0.8612 data_time: 0.0922 memory: 22238 grad_norm: 22.6626 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7315 loss: 1.7315 2022/07/31 10:44:20 - mmengine - INFO - Epoch(train) [13][2120/2505] lr: 4.1000e-04 eta: 1 day, 6:54:36 time: 1.1010 data_time: 0.1100 memory: 22238 grad_norm: 22.1831 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9662 loss: 1.9662 2022/07/31 10:44:38 - mmengine - INFO - Epoch(train) [13][2140/2505] lr: 4.1000e-04 eta: 1 day, 6:54:11 time: 0.9051 data_time: 0.1293 memory: 22238 grad_norm: 23.4746 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 2.0411 loss: 2.0411 2022/07/31 10:44:59 - mmengine - INFO - Epoch(train) [13][2160/2505] lr: 4.1000e-04 eta: 1 day, 6:53:56 time: 1.0473 data_time: 0.0559 memory: 22238 grad_norm: 22.4861 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7318 loss: 1.7318 2022/07/31 10:45:17 - mmengine - INFO - Epoch(train) [13][2180/2505] lr: 4.1000e-04 eta: 1 day, 6:53:30 time: 0.8967 data_time: 0.0904 memory: 22238 grad_norm: 21.9890 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8632 loss: 1.8632 2022/07/31 10:45:39 - mmengine - INFO - Epoch(train) [13][2200/2505] lr: 4.1000e-04 eta: 1 day, 6:53:19 time: 1.1033 data_time: 0.0504 memory: 22238 grad_norm: 22.7026 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0189 loss: 2.0189 2022/07/31 10:45:56 - mmengine - INFO - Epoch(train) [13][2220/2505] lr: 4.1000e-04 eta: 1 day, 6:52:50 time: 0.8593 data_time: 0.0377 memory: 22238 grad_norm: 22.3399 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6721 loss: 1.6721 2022/07/31 10:46:19 - mmengine - INFO - Epoch(train) [13][2240/2505] lr: 4.1000e-04 eta: 1 day, 6:52:41 time: 1.1256 data_time: 0.0284 memory: 22238 grad_norm: 22.4396 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9917 loss: 1.9917 2022/07/31 10:46:35 - mmengine - INFO - Epoch(train) [13][2260/2505] lr: 4.1000e-04 eta: 1 day, 6:52:08 time: 0.7941 data_time: 0.0298 memory: 22238 grad_norm: 22.5995 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0533 loss: 2.0533 2022/07/31 10:46:55 - mmengine - INFO - Epoch(train) [13][2280/2505] lr: 4.1000e-04 eta: 1 day, 6:51:51 time: 1.0316 data_time: 0.0861 memory: 22238 grad_norm: 22.3261 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9842 loss: 1.9842 2022/07/31 10:47:13 - mmengine - INFO - Epoch(train) [13][2300/2505] lr: 4.1000e-04 eta: 1 day, 6:51:27 time: 0.9109 data_time: 0.2176 memory: 22238 grad_norm: 22.0329 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5531 loss: 1.5531 2022/07/31 10:47:34 - mmengine - INFO - Epoch(train) [13][2320/2505] lr: 4.1000e-04 eta: 1 day, 6:51:11 time: 1.0380 data_time: 0.1013 memory: 22238 grad_norm: 22.2506 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8511 loss: 1.8511 2022/07/31 10:47:53 - mmengine - INFO - Epoch(train) [13][2340/2505] lr: 4.1000e-04 eta: 1 day, 6:50:48 time: 0.9451 data_time: 0.0660 memory: 22238 grad_norm: 22.4513 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 2.1274 loss: 2.1274 2022/07/31 10:48:15 - mmengine - INFO - Epoch(train) [13][2360/2505] lr: 4.1000e-04 eta: 1 day, 6:50:35 time: 1.0763 data_time: 0.0327 memory: 22238 grad_norm: 21.8434 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7825 loss: 1.7825 2022/07/31 10:48:32 - mmengine - INFO - Epoch(train) [13][2380/2505] lr: 4.1000e-04 eta: 1 day, 6:50:08 time: 0.8830 data_time: 0.0353 memory: 22238 grad_norm: 22.5081 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7376 loss: 1.7376 2022/07/31 10:48:53 - mmengine - INFO - Epoch(train) [13][2400/2505] lr: 4.1000e-04 eta: 1 day, 6:49:53 time: 1.0506 data_time: 0.0357 memory: 22238 grad_norm: 23.5508 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8698 loss: 1.8698 2022/07/31 10:49:11 - mmengine - INFO - Epoch(train) [13][2420/2505] lr: 4.1000e-04 eta: 1 day, 6:49:29 time: 0.9126 data_time: 0.0317 memory: 22238 grad_norm: 22.3958 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6591 loss: 1.6591 2022/07/31 10:49:33 - mmengine - INFO - Epoch(train) [13][2440/2505] lr: 4.1000e-04 eta: 1 day, 6:49:16 time: 1.0819 data_time: 0.0294 memory: 22238 grad_norm: 21.9941 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.9746 loss: 1.9746 2022/07/31 10:49:51 - mmengine - INFO - Epoch(train) [13][2460/2505] lr: 4.1000e-04 eta: 1 day, 6:48:49 time: 0.8778 data_time: 0.0317 memory: 22238 grad_norm: 22.4461 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8057 loss: 1.8057 2022/07/31 10:50:13 - mmengine - INFO - Epoch(train) [13][2480/2505] lr: 4.1000e-04 eta: 1 day, 6:48:37 time: 1.0918 data_time: 0.0360 memory: 22238 grad_norm: 22.1733 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8142 loss: 1.8142 2022/07/31 10:50:28 - mmengine - INFO - Epoch(train) [13][2500/2505] lr: 4.1000e-04 eta: 1 day, 6:48:02 time: 0.7679 data_time: 0.0311 memory: 22238 grad_norm: 23.3084 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7669 loss: 1.7669 2022/07/31 10:50:30 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 10:50:30 - mmengine - INFO - Epoch(train) [13][2505/2505] lr: 4.1000e-04 eta: 1 day, 6:48:02 time: 0.7556 data_time: 0.0210 memory: 22238 grad_norm: 23.0089 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.8302 loss: 1.8302 2022/07/31 10:50:56 - mmengine - INFO - Epoch(train) [14][20/2505] lr: 4.4000e-04 eta: 1 day, 6:47:43 time: 1.3170 data_time: 0.8115 memory: 22238 grad_norm: 22.9362 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7393 loss: 1.7393 2022/07/31 10:51:14 - mmengine - INFO - Epoch(train) [14][40/2505] lr: 4.4000e-04 eta: 1 day, 6:47:16 time: 0.8765 data_time: 0.2894 memory: 22238 grad_norm: 23.1820 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0351 loss: 2.0351 2022/07/31 10:51:36 - mmengine - INFO - Epoch(train) [14][60/2505] lr: 4.4000e-04 eta: 1 day, 6:47:05 time: 1.1050 data_time: 0.4706 memory: 22238 grad_norm: 22.5335 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1133 loss: 2.1133 2022/07/31 10:51:55 - mmengine - INFO - Epoch(train) [14][80/2505] lr: 4.4000e-04 eta: 1 day, 6:46:42 time: 0.9287 data_time: 0.3402 memory: 22238 grad_norm: 22.1277 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1035 loss: 2.1035 2022/07/31 10:52:15 - mmengine - INFO - Epoch(train) [14][100/2505] lr: 4.4000e-04 eta: 1 day, 6:46:26 time: 1.0350 data_time: 0.4093 memory: 22238 grad_norm: 22.6262 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.6884 loss: 1.6884 2022/07/31 10:52:33 - mmengine - INFO - Epoch(train) [14][120/2505] lr: 4.4000e-04 eta: 1 day, 6:45:58 time: 0.8694 data_time: 0.4157 memory: 22238 grad_norm: 22.7610 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0736 loss: 2.0736 2022/07/31 10:52:55 - mmengine - INFO - Epoch(train) [14][140/2505] lr: 4.4000e-04 eta: 1 day, 6:45:47 time: 1.1079 data_time: 0.5827 memory: 22238 grad_norm: 22.3570 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.1560 loss: 2.1560 2022/07/31 10:53:13 - mmengine - INFO - Epoch(train) [14][160/2505] lr: 4.4000e-04 eta: 1 day, 6:45:21 time: 0.8903 data_time: 0.4279 memory: 22238 grad_norm: 22.0939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7531 loss: 1.7531 2022/07/31 10:53:35 - mmengine - INFO - Epoch(train) [14][180/2505] lr: 4.4000e-04 eta: 1 day, 6:45:09 time: 1.0927 data_time: 0.7017 memory: 22238 grad_norm: 23.1083 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0255 loss: 2.0255 2022/07/31 10:53:52 - mmengine - INFO - Epoch(train) [14][200/2505] lr: 4.4000e-04 eta: 1 day, 6:44:41 time: 0.8681 data_time: 0.4713 memory: 22238 grad_norm: 22.7338 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.9491 loss: 1.9491 2022/07/31 10:54:14 - mmengine - INFO - Epoch(train) [14][220/2505] lr: 4.4000e-04 eta: 1 day, 6:44:29 time: 1.0884 data_time: 0.6988 memory: 22238 grad_norm: 22.0215 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9196 loss: 1.9196 2022/07/31 10:54:31 - mmengine - INFO - Epoch(train) [14][240/2505] lr: 4.4000e-04 eta: 1 day, 6:44:02 time: 0.8797 data_time: 0.4847 memory: 22238 grad_norm: 22.7867 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8619 loss: 1.8619 2022/07/31 10:54:53 - mmengine - INFO - Epoch(train) [14][260/2505] lr: 4.4000e-04 eta: 1 day, 6:43:49 time: 1.0896 data_time: 0.6891 memory: 22238 grad_norm: 23.2021 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.9077 loss: 1.9077 2022/07/31 10:55:11 - mmengine - INFO - Epoch(train) [14][280/2505] lr: 4.4000e-04 eta: 1 day, 6:43:23 time: 0.8900 data_time: 0.4958 memory: 22238 grad_norm: 21.5840 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9362 loss: 1.9362 2022/07/31 10:55:33 - mmengine - INFO - Epoch(train) [14][300/2505] lr: 4.4000e-04 eta: 1 day, 6:43:10 time: 1.0836 data_time: 0.6723 memory: 22238 grad_norm: 23.5281 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8200 loss: 1.8200 2022/07/31 10:55:50 - mmengine - INFO - Epoch(train) [14][320/2505] lr: 4.4000e-04 eta: 1 day, 6:42:42 time: 0.8530 data_time: 0.4224 memory: 22238 grad_norm: 22.0508 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9792 loss: 1.9792 2022/07/31 10:56:12 - mmengine - INFO - Epoch(train) [14][340/2505] lr: 4.4000e-04 eta: 1 day, 6:42:31 time: 1.1210 data_time: 0.6694 memory: 22238 grad_norm: 23.2666 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 2.2080 loss: 2.2080 2022/07/31 10:56:30 - mmengine - INFO - Epoch(train) [14][360/2505] lr: 4.4000e-04 eta: 1 day, 6:42:05 time: 0.8816 data_time: 0.4842 memory: 22238 grad_norm: 21.8092 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.4649 loss: 1.4649 2022/07/31 10:56:52 - mmengine - INFO - Epoch(train) [14][380/2505] lr: 4.4000e-04 eta: 1 day, 6:41:54 time: 1.1060 data_time: 0.7037 memory: 22238 grad_norm: 21.9633 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9278 loss: 1.9278 2022/07/31 10:57:09 - mmengine - INFO - Epoch(train) [14][400/2505] lr: 4.4000e-04 eta: 1 day, 6:41:25 time: 0.8529 data_time: 0.4634 memory: 22238 grad_norm: 22.8146 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.9432 loss: 1.9432 2022/07/31 10:57:31 - mmengine - INFO - Epoch(train) [14][420/2505] lr: 4.4000e-04 eta: 1 day, 6:41:12 time: 1.0853 data_time: 0.6910 memory: 22238 grad_norm: 21.7064 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7248 loss: 1.7248 2022/07/31 10:57:45 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 10:57:48 - mmengine - INFO - Epoch(train) [14][440/2505] lr: 4.4000e-04 eta: 1 day, 6:40:44 time: 0.8572 data_time: 0.4669 memory: 22238 grad_norm: 23.3455 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6824 loss: 1.6824 2022/07/31 10:58:10 - mmengine - INFO - Epoch(train) [14][460/2505] lr: 4.4000e-04 eta: 1 day, 6:40:32 time: 1.0987 data_time: 0.7073 memory: 22238 grad_norm: 21.9919 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.0834 loss: 2.0834 2022/07/31 10:58:27 - mmengine - INFO - Epoch(train) [14][480/2505] lr: 4.4000e-04 eta: 1 day, 6:40:06 time: 0.8864 data_time: 0.4856 memory: 22238 grad_norm: 23.1234 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4470 loss: 1.4470 2022/07/31 10:58:49 - mmengine - INFO - Epoch(train) [14][500/2505] lr: 4.4000e-04 eta: 1 day, 6:39:54 time: 1.0994 data_time: 0.6669 memory: 22238 grad_norm: 22.3108 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8793 loss: 1.8793 2022/07/31 10:59:06 - mmengine - INFO - Epoch(train) [14][520/2505] lr: 4.4000e-04 eta: 1 day, 6:39:23 time: 0.8188 data_time: 0.3670 memory: 22238 grad_norm: 22.4690 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1277 loss: 2.1277 2022/07/31 10:59:27 - mmengine - INFO - Epoch(train) [14][540/2505] lr: 4.4000e-04 eta: 1 day, 6:39:09 time: 1.0618 data_time: 0.5407 memory: 22238 grad_norm: 21.7636 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8034 loss: 1.8034 2022/07/31 10:59:45 - mmengine - INFO - Epoch(train) [14][560/2505] lr: 4.4000e-04 eta: 1 day, 6:38:42 time: 0.8754 data_time: 0.3694 memory: 22238 grad_norm: 22.3182 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9027 loss: 1.9027 2022/07/31 11:00:07 - mmengine - INFO - Epoch(train) [14][580/2505] lr: 4.4000e-04 eta: 1 day, 6:38:32 time: 1.1236 data_time: 0.4488 memory: 22238 grad_norm: 21.2833 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7550 loss: 1.7550 2022/07/31 11:00:24 - mmengine - INFO - Epoch(train) [14][600/2505] lr: 4.4000e-04 eta: 1 day, 6:38:04 time: 0.8625 data_time: 0.2450 memory: 22238 grad_norm: 21.9976 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8337 loss: 1.8337 2022/07/31 11:00:46 - mmengine - INFO - Epoch(train) [14][620/2505] lr: 4.4000e-04 eta: 1 day, 6:37:51 time: 1.0894 data_time: 0.4010 memory: 22238 grad_norm: 21.1826 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7217 loss: 1.7217 2022/07/31 11:01:03 - mmengine - INFO - Epoch(train) [14][640/2505] lr: 4.4000e-04 eta: 1 day, 6:37:23 time: 0.8629 data_time: 0.2573 memory: 22238 grad_norm: 22.1790 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9853 loss: 1.9853 2022/07/31 11:01:25 - mmengine - INFO - Epoch(train) [14][660/2505] lr: 4.4000e-04 eta: 1 day, 6:37:09 time: 1.0691 data_time: 0.3828 memory: 22238 grad_norm: 22.3834 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6968 loss: 1.6968 2022/07/31 11:01:42 - mmengine - INFO - Epoch(train) [14][680/2505] lr: 4.4000e-04 eta: 1 day, 6:36:42 time: 0.8748 data_time: 0.3243 memory: 22238 grad_norm: 21.5608 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5382 loss: 1.5382 2022/07/31 11:02:04 - mmengine - INFO - Epoch(train) [14][700/2505] lr: 4.4000e-04 eta: 1 day, 6:36:30 time: 1.0899 data_time: 0.5263 memory: 22238 grad_norm: 22.2957 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5970 loss: 1.5970 2022/07/31 11:02:21 - mmengine - INFO - Epoch(train) [14][720/2505] lr: 4.4000e-04 eta: 1 day, 6:36:03 time: 0.8714 data_time: 0.4242 memory: 22238 grad_norm: 22.7927 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7508 loss: 1.7508 2022/07/31 11:02:43 - mmengine - INFO - Epoch(train) [14][740/2505] lr: 4.4000e-04 eta: 1 day, 6:35:50 time: 1.0900 data_time: 0.5070 memory: 22238 grad_norm: 21.8546 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.0140 loss: 2.0140 2022/07/31 11:03:01 - mmengine - INFO - Epoch(train) [14][760/2505] lr: 4.4000e-04 eta: 1 day, 6:35:23 time: 0.8711 data_time: 0.3572 memory: 22238 grad_norm: 22.5177 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8320 loss: 1.8320 2022/07/31 11:03:23 - mmengine - INFO - Epoch(train) [14][780/2505] lr: 4.4000e-04 eta: 1 day, 6:35:13 time: 1.1218 data_time: 0.4459 memory: 22238 grad_norm: 22.6844 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9399 loss: 1.9399 2022/07/31 11:03:40 - mmengine - INFO - Epoch(train) [14][800/2505] lr: 4.4000e-04 eta: 1 day, 6:34:43 time: 0.8325 data_time: 0.2840 memory: 22238 grad_norm: 21.3098 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5395 loss: 1.5395 2022/07/31 11:04:01 - mmengine - INFO - Epoch(train) [14][820/2505] lr: 4.4000e-04 eta: 1 day, 6:34:29 time: 1.0756 data_time: 0.5360 memory: 22238 grad_norm: 23.0985 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8105 loss: 1.8105 2022/07/31 11:04:19 - mmengine - INFO - Epoch(train) [14][840/2505] lr: 4.4000e-04 eta: 1 day, 6:34:02 time: 0.8650 data_time: 0.3929 memory: 22238 grad_norm: 21.2443 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6990 loss: 1.6990 2022/07/31 11:04:40 - mmengine - INFO - Epoch(train) [14][860/2505] lr: 4.4000e-04 eta: 1 day, 6:33:49 time: 1.0885 data_time: 0.5820 memory: 22238 grad_norm: 22.3718 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7520 loss: 1.7520 2022/07/31 11:04:58 - mmengine - INFO - Epoch(train) [14][880/2505] lr: 4.4000e-04 eta: 1 day, 6:33:22 time: 0.8798 data_time: 0.4862 memory: 22238 grad_norm: 22.9536 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0096 loss: 2.0096 2022/07/31 11:05:20 - mmengine - INFO - Epoch(train) [14][900/2505] lr: 4.4000e-04 eta: 1 day, 6:33:09 time: 1.0818 data_time: 0.6401 memory: 22238 grad_norm: 22.5246 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7921 loss: 1.7921 2022/07/31 11:05:37 - mmengine - INFO - Epoch(train) [14][920/2505] lr: 4.4000e-04 eta: 1 day, 6:32:42 time: 0.8687 data_time: 0.4668 memory: 22238 grad_norm: 23.4113 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.8771 loss: 1.8771 2022/07/31 11:05:59 - mmengine - INFO - Epoch(train) [14][940/2505] lr: 4.4000e-04 eta: 1 day, 6:32:29 time: 1.0834 data_time: 0.6807 memory: 22238 grad_norm: 22.8368 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9274 loss: 1.9274 2022/07/31 11:06:16 - mmengine - INFO - Epoch(train) [14][960/2505] lr: 4.4000e-04 eta: 1 day, 6:32:01 time: 0.8544 data_time: 0.4405 memory: 22238 grad_norm: 21.5849 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8148 loss: 1.8148 2022/07/31 11:06:38 - mmengine - INFO - Epoch(train) [14][980/2505] lr: 4.4000e-04 eta: 1 day, 6:31:48 time: 1.0951 data_time: 0.5986 memory: 22238 grad_norm: 21.8300 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9237 loss: 1.9237 2022/07/31 11:06:55 - mmengine - INFO - Epoch(train) [14][1000/2505] lr: 4.4000e-04 eta: 1 day, 6:31:22 time: 0.8887 data_time: 0.4818 memory: 22238 grad_norm: 22.1173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7765 loss: 1.7765 2022/07/31 11:07:17 - mmengine - INFO - Epoch(train) [14][1020/2505] lr: 4.4000e-04 eta: 1 day, 6:31:10 time: 1.0941 data_time: 0.6863 memory: 22238 grad_norm: 22.3120 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0824 loss: 2.0824 2022/07/31 11:07:35 - mmengine - INFO - Epoch(train) [14][1040/2505] lr: 4.4000e-04 eta: 1 day, 6:30:45 time: 0.9066 data_time: 0.4858 memory: 22238 grad_norm: 22.0750 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9462 loss: 1.9462 2022/07/31 11:07:57 - mmengine - INFO - Epoch(train) [14][1060/2505] lr: 4.4000e-04 eta: 1 day, 6:30:31 time: 1.0607 data_time: 0.6668 memory: 22238 grad_norm: 21.1722 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6675 loss: 1.6675 2022/07/31 11:08:15 - mmengine - INFO - Epoch(train) [14][1080/2505] lr: 4.4000e-04 eta: 1 day, 6:30:05 time: 0.8993 data_time: 0.4912 memory: 22238 grad_norm: 22.5052 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8586 loss: 1.8586 2022/07/31 11:08:36 - mmengine - INFO - Epoch(train) [14][1100/2505] lr: 4.4000e-04 eta: 1 day, 6:29:52 time: 1.0738 data_time: 0.6653 memory: 22238 grad_norm: 22.3955 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0263 loss: 2.0263 2022/07/31 11:08:54 - mmengine - INFO - Epoch(train) [14][1120/2505] lr: 4.4000e-04 eta: 1 day, 6:29:25 time: 0.8762 data_time: 0.4634 memory: 22238 grad_norm: 23.1412 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8397 loss: 1.8397 2022/07/31 11:09:16 - mmengine - INFO - Epoch(train) [14][1140/2505] lr: 4.4000e-04 eta: 1 day, 6:29:13 time: 1.0965 data_time: 0.6804 memory: 22238 grad_norm: 23.0411 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0405 loss: 2.0405 2022/07/31 11:09:33 - mmengine - INFO - Epoch(train) [14][1160/2505] lr: 4.4000e-04 eta: 1 day, 6:28:45 time: 0.8586 data_time: 0.4579 memory: 22238 grad_norm: 22.3358 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6030 loss: 1.6030 2022/07/31 11:09:55 - mmengine - INFO - Epoch(train) [14][1180/2505] lr: 4.4000e-04 eta: 1 day, 6:28:33 time: 1.0961 data_time: 0.6874 memory: 22238 grad_norm: 22.6170 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9346 loss: 1.9346 2022/07/31 11:10:12 - mmengine - INFO - Epoch(train) [14][1200/2505] lr: 4.4000e-04 eta: 1 day, 6:28:05 time: 0.8583 data_time: 0.4623 memory: 22238 grad_norm: 21.7616 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0263 loss: 2.0263 2022/07/31 11:10:35 - mmengine - INFO - Epoch(train) [14][1220/2505] lr: 4.4000e-04 eta: 1 day, 6:27:57 time: 1.1578 data_time: 0.7443 memory: 22238 grad_norm: 21.5459 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8815 loss: 1.8815 2022/07/31 11:10:52 - mmengine - INFO - Epoch(train) [14][1240/2505] lr: 4.4000e-04 eta: 1 day, 6:27:26 time: 0.8252 data_time: 0.4328 memory: 22238 grad_norm: 22.2910 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6345 loss: 1.6345 2022/07/31 11:11:14 - mmengine - INFO - Epoch(train) [14][1260/2505] lr: 4.4000e-04 eta: 1 day, 6:27:15 time: 1.1137 data_time: 0.6972 memory: 22238 grad_norm: 22.5530 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8046 loss: 1.8046 2022/07/31 11:11:31 - mmengine - INFO - Epoch(train) [14][1280/2505] lr: 4.4000e-04 eta: 1 day, 6:26:46 time: 0.8373 data_time: 0.4201 memory: 22238 grad_norm: 21.7697 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8264 loss: 1.8264 2022/07/31 11:11:53 - mmengine - INFO - Epoch(train) [14][1300/2505] lr: 4.4000e-04 eta: 1 day, 6:26:34 time: 1.1003 data_time: 0.6905 memory: 22238 grad_norm: 22.0361 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.0337 loss: 2.0337 2022/07/31 11:12:10 - mmengine - INFO - Epoch(train) [14][1320/2505] lr: 4.4000e-04 eta: 1 day, 6:26:08 time: 0.8800 data_time: 0.4537 memory: 22238 grad_norm: 22.1810 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8249 loss: 1.8249 2022/07/31 11:12:32 - mmengine - INFO - Epoch(train) [14][1340/2505] lr: 4.4000e-04 eta: 1 day, 6:25:55 time: 1.0899 data_time: 0.6695 memory: 22238 grad_norm: 22.7461 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9142 loss: 1.9142 2022/07/31 11:12:49 - mmengine - INFO - Epoch(train) [14][1360/2505] lr: 4.4000e-04 eta: 1 day, 6:25:28 time: 0.8746 data_time: 0.4383 memory: 22238 grad_norm: 21.2791 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8927 loss: 1.8927 2022/07/31 11:13:11 - mmengine - INFO - Epoch(train) [14][1380/2505] lr: 4.4000e-04 eta: 1 day, 6:25:14 time: 1.0768 data_time: 0.6585 memory: 22238 grad_norm: 21.4323 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9953 loss: 1.9953 2022/07/31 11:13:28 - mmengine - INFO - Epoch(train) [14][1400/2505] lr: 4.4000e-04 eta: 1 day, 6:24:47 time: 0.8612 data_time: 0.3460 memory: 22238 grad_norm: 21.1278 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7476 loss: 1.7476 2022/07/31 11:13:51 - mmengine - INFO - Epoch(train) [14][1420/2505] lr: 4.4000e-04 eta: 1 day, 6:24:36 time: 1.1263 data_time: 0.3778 memory: 22238 grad_norm: 21.2059 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0560 loss: 2.0560 2022/07/31 11:14:06 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 11:14:08 - mmengine - INFO - Epoch(train) [14][1440/2505] lr: 4.4000e-04 eta: 1 day, 6:24:09 time: 0.8610 data_time: 0.1909 memory: 22238 grad_norm: 21.3594 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9090 loss: 1.9090 2022/07/31 11:14:30 - mmengine - INFO - Epoch(train) [14][1460/2505] lr: 4.4000e-04 eta: 1 day, 6:23:57 time: 1.1004 data_time: 0.3549 memory: 22238 grad_norm: 22.0457 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7538 loss: 1.7538 2022/07/31 11:14:48 - mmengine - INFO - Epoch(train) [14][1480/2505] lr: 4.4000e-04 eta: 1 day, 6:23:31 time: 0.8878 data_time: 0.2570 memory: 22238 grad_norm: 21.8378 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7777 loss: 1.7777 2022/07/31 11:15:10 - mmengine - INFO - Epoch(train) [14][1500/2505] lr: 4.4000e-04 eta: 1 day, 6:23:19 time: 1.1080 data_time: 0.2834 memory: 22238 grad_norm: 22.6351 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7703 loss: 1.7703 2022/07/31 11:15:28 - mmengine - INFO - Epoch(train) [14][1520/2505] lr: 4.4000e-04 eta: 1 day, 6:22:53 time: 0.8814 data_time: 0.1554 memory: 22238 grad_norm: 21.4377 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6386 loss: 1.6386 2022/07/31 11:15:51 - mmengine - INFO - Epoch(train) [14][1540/2505] lr: 4.4000e-04 eta: 1 day, 6:22:45 time: 1.1607 data_time: 0.1254 memory: 22238 grad_norm: 22.6673 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.7244 loss: 1.7244 2022/07/31 11:16:09 - mmengine - INFO - Epoch(train) [14][1560/2505] lr: 4.4000e-04 eta: 1 day, 6:22:19 time: 0.8917 data_time: 0.0347 memory: 22238 grad_norm: 21.6314 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9333 loss: 1.9333 2022/07/31 11:16:30 - mmengine - INFO - Epoch(train) [14][1580/2505] lr: 4.4000e-04 eta: 1 day, 6:22:06 time: 1.0849 data_time: 0.0375 memory: 22238 grad_norm: 21.5669 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.9880 loss: 1.9880 2022/07/31 11:16:48 - mmengine - INFO - Epoch(train) [14][1600/2505] lr: 4.4000e-04 eta: 1 day, 6:21:39 time: 0.8652 data_time: 0.0336 memory: 22238 grad_norm: 21.8473 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8870 loss: 1.8870 2022/07/31 11:17:09 - mmengine - INFO - Epoch(train) [14][1620/2505] lr: 4.4000e-04 eta: 1 day, 6:21:25 time: 1.0786 data_time: 0.0313 memory: 22238 grad_norm: 21.3537 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8172 loss: 1.8172 2022/07/31 11:17:26 - mmengine - INFO - Epoch(train) [14][1640/2505] lr: 4.4000e-04 eta: 1 day, 6:20:57 time: 0.8455 data_time: 0.0288 memory: 22238 grad_norm: 22.1801 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.9283 loss: 1.9283 2022/07/31 11:17:47 - mmengine - INFO - Epoch(train) [14][1660/2505] lr: 4.4000e-04 eta: 1 day, 6:20:43 time: 1.0708 data_time: 0.0686 memory: 22238 grad_norm: 22.3240 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0073 loss: 2.0073 2022/07/31 11:18:05 - mmengine - INFO - Epoch(train) [14][1680/2505] lr: 4.4000e-04 eta: 1 day, 6:20:16 time: 0.8743 data_time: 0.0555 memory: 22238 grad_norm: 21.4320 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9952 loss: 1.9952 2022/07/31 11:18:26 - mmengine - INFO - Epoch(train) [14][1700/2505] lr: 4.4000e-04 eta: 1 day, 6:20:01 time: 1.0534 data_time: 0.1490 memory: 22238 grad_norm: 21.8671 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8828 loss: 1.8828 2022/07/31 11:18:43 - mmengine - INFO - Epoch(train) [14][1720/2505] lr: 4.4000e-04 eta: 1 day, 6:19:32 time: 0.8474 data_time: 0.2233 memory: 22238 grad_norm: 22.3632 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8617 loss: 1.8617 2022/07/31 11:19:05 - mmengine - INFO - Epoch(train) [14][1740/2505] lr: 4.4000e-04 eta: 1 day, 6:19:21 time: 1.1171 data_time: 0.4020 memory: 22238 grad_norm: 22.9282 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8498 loss: 1.8498 2022/07/31 11:19:23 - mmengine - INFO - Epoch(train) [14][1760/2505] lr: 4.4000e-04 eta: 1 day, 6:18:55 time: 0.8818 data_time: 0.1569 memory: 22238 grad_norm: 21.1086 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8117 loss: 1.8117 2022/07/31 11:19:45 - mmengine - INFO - Epoch(train) [14][1780/2505] lr: 4.4000e-04 eta: 1 day, 6:18:41 time: 1.0784 data_time: 0.3912 memory: 22238 grad_norm: 21.8842 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9838 loss: 1.9838 2022/07/31 11:20:02 - mmengine - INFO - Epoch(train) [14][1800/2505] lr: 4.4000e-04 eta: 1 day, 6:18:13 time: 0.8546 data_time: 0.2326 memory: 22238 grad_norm: 21.5777 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7879 loss: 1.7879 2022/07/31 11:20:24 - mmengine - INFO - Epoch(train) [14][1820/2505] lr: 4.4000e-04 eta: 1 day, 6:18:03 time: 1.1213 data_time: 0.4883 memory: 22238 grad_norm: 21.3618 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9533 loss: 1.9533 2022/07/31 11:20:42 - mmengine - INFO - Epoch(train) [14][1840/2505] lr: 4.4000e-04 eta: 1 day, 6:17:37 time: 0.8863 data_time: 0.3017 memory: 22238 grad_norm: 22.5698 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7645 loss: 1.7645 2022/07/31 11:21:05 - mmengine - INFO - Epoch(train) [14][1860/2505] lr: 4.4000e-04 eta: 1 day, 6:17:28 time: 1.1620 data_time: 0.4207 memory: 22238 grad_norm: 22.2395 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8039 loss: 1.8039 2022/07/31 11:21:22 - mmengine - INFO - Epoch(train) [14][1880/2505] lr: 4.4000e-04 eta: 1 day, 6:16:59 time: 0.8324 data_time: 0.2094 memory: 22238 grad_norm: 21.8547 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8204 loss: 1.8204 2022/07/31 11:21:44 - mmengine - INFO - Epoch(train) [14][1900/2505] lr: 4.4000e-04 eta: 1 day, 6:16:49 time: 1.1323 data_time: 0.4148 memory: 22238 grad_norm: 22.4629 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6796 loss: 1.6796 2022/07/31 11:22:02 - mmengine - INFO - Epoch(train) [14][1920/2505] lr: 4.4000e-04 eta: 1 day, 6:16:22 time: 0.8733 data_time: 0.1358 memory: 22238 grad_norm: 22.5233 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0397 loss: 2.0397 2022/07/31 11:22:24 - mmengine - INFO - Epoch(train) [14][1940/2505] lr: 4.4000e-04 eta: 1 day, 6:16:09 time: 1.0906 data_time: 0.1869 memory: 22238 grad_norm: 22.7118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8542 loss: 1.8542 2022/07/31 11:22:41 - mmengine - INFO - Epoch(train) [14][1960/2505] lr: 4.4000e-04 eta: 1 day, 6:15:41 time: 0.8546 data_time: 0.1011 memory: 22238 grad_norm: 21.1777 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8545 loss: 1.8545 2022/07/31 11:23:03 - mmengine - INFO - Epoch(train) [14][1980/2505] lr: 4.4000e-04 eta: 1 day, 6:15:30 time: 1.1146 data_time: 0.0644 memory: 22238 grad_norm: 22.0800 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7007 loss: 1.7007 2022/07/31 11:23:20 - mmengine - INFO - Epoch(train) [14][2000/2505] lr: 4.4000e-04 eta: 1 day, 6:15:02 time: 0.8518 data_time: 0.0314 memory: 22238 grad_norm: 21.1977 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8020 loss: 1.8020 2022/07/31 11:23:42 - mmengine - INFO - Epoch(train) [14][2020/2505] lr: 4.4000e-04 eta: 1 day, 6:14:49 time: 1.0898 data_time: 0.0266 memory: 22238 grad_norm: 21.8593 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7688 loss: 1.7688 2022/07/31 11:23:59 - mmengine - INFO - Epoch(train) [14][2040/2505] lr: 4.4000e-04 eta: 1 day, 6:14:21 time: 0.8545 data_time: 0.0286 memory: 22238 grad_norm: 22.0654 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9900 loss: 1.9900 2022/07/31 11:24:21 - mmengine - INFO - Epoch(train) [14][2060/2505] lr: 4.4000e-04 eta: 1 day, 6:14:09 time: 1.0984 data_time: 0.0462 memory: 22238 grad_norm: 22.5122 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7690 loss: 1.7690 2022/07/31 11:24:38 - mmengine - INFO - Epoch(train) [14][2080/2505] lr: 4.4000e-04 eta: 1 day, 6:13:42 time: 0.8754 data_time: 0.0285 memory: 22238 grad_norm: 21.7600 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0312 loss: 2.0312 2022/07/31 11:24:59 - mmengine - INFO - Epoch(train) [14][2100/2505] lr: 4.4000e-04 eta: 1 day, 6:13:26 time: 1.0320 data_time: 0.0301 memory: 22238 grad_norm: 21.9732 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7778 loss: 1.7778 2022/07/31 11:25:17 - mmengine - INFO - Epoch(train) [14][2120/2505] lr: 4.4000e-04 eta: 1 day, 6:13:02 time: 0.9114 data_time: 0.0278 memory: 22238 grad_norm: 22.0424 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7916 loss: 1.7916 2022/07/31 11:25:39 - mmengine - INFO - Epoch(train) [14][2140/2505] lr: 4.4000e-04 eta: 1 day, 6:12:48 time: 1.0823 data_time: 0.0283 memory: 22238 grad_norm: 21.7256 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8953 loss: 1.8953 2022/07/31 11:25:57 - mmengine - INFO - Epoch(train) [14][2160/2505] lr: 4.4000e-04 eta: 1 day, 6:12:22 time: 0.8837 data_time: 0.0284 memory: 22238 grad_norm: 22.1703 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.8693 loss: 1.8693 2022/07/31 11:26:19 - mmengine - INFO - Epoch(train) [14][2180/2505] lr: 4.4000e-04 eta: 1 day, 6:12:10 time: 1.1072 data_time: 0.0300 memory: 22238 grad_norm: 21.2186 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.8026 loss: 1.8026 2022/07/31 11:26:36 - mmengine - INFO - Epoch(train) [14][2200/2505] lr: 4.4000e-04 eta: 1 day, 6:11:43 time: 0.8701 data_time: 0.0282 memory: 22238 grad_norm: 21.7696 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.8099 loss: 1.8099 2022/07/31 11:26:58 - mmengine - INFO - Epoch(train) [14][2220/2505] lr: 4.4000e-04 eta: 1 day, 6:11:29 time: 1.0732 data_time: 0.0307 memory: 22238 grad_norm: 22.3145 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8703 loss: 1.8703 2022/07/31 11:27:15 - mmengine - INFO - Epoch(train) [14][2240/2505] lr: 4.4000e-04 eta: 1 day, 6:11:03 time: 0.8807 data_time: 0.0294 memory: 22238 grad_norm: 22.1548 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8746 loss: 1.8746 2022/07/31 11:27:37 - mmengine - INFO - Epoch(train) [14][2260/2505] lr: 4.4000e-04 eta: 1 day, 6:10:51 time: 1.1008 data_time: 0.0286 memory: 22238 grad_norm: 20.8432 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7385 loss: 1.7385 2022/07/31 11:27:55 - mmengine - INFO - Epoch(train) [14][2280/2505] lr: 4.4000e-04 eta: 1 day, 6:10:26 time: 0.8929 data_time: 0.0279 memory: 22238 grad_norm: 21.9848 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7276 loss: 1.7276 2022/07/31 11:28:17 - mmengine - INFO - Epoch(train) [14][2300/2505] lr: 4.4000e-04 eta: 1 day, 6:10:14 time: 1.1050 data_time: 0.0284 memory: 22238 grad_norm: 21.6592 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.8413 loss: 1.8413 2022/07/31 11:28:35 - mmengine - INFO - Epoch(train) [14][2320/2505] lr: 4.4000e-04 eta: 1 day, 6:09:47 time: 0.8675 data_time: 0.0269 memory: 22238 grad_norm: 21.8145 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9349 loss: 1.9349 2022/07/31 11:28:57 - mmengine - INFO - Epoch(train) [14][2340/2505] lr: 4.4000e-04 eta: 1 day, 6:09:35 time: 1.1085 data_time: 0.0283 memory: 22238 grad_norm: 21.6603 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7090 loss: 1.7090 2022/07/31 11:29:14 - mmengine - INFO - Epoch(train) [14][2360/2505] lr: 4.4000e-04 eta: 1 day, 6:09:07 time: 0.8472 data_time: 0.0275 memory: 22238 grad_norm: 21.6171 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8509 loss: 1.8509 2022/07/31 11:29:37 - mmengine - INFO - Epoch(train) [14][2380/2505] lr: 4.4000e-04 eta: 1 day, 6:08:59 time: 1.1758 data_time: 0.0278 memory: 22238 grad_norm: 21.9022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7397 loss: 1.7397 2022/07/31 11:29:53 - mmengine - INFO - Epoch(train) [14][2400/2505] lr: 4.4000e-04 eta: 1 day, 6:08:27 time: 0.7841 data_time: 0.0305 memory: 22238 grad_norm: 21.1760 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0073 loss: 2.0073 2022/07/31 11:30:16 - mmengine - INFO - Epoch(train) [14][2420/2505] lr: 4.4000e-04 eta: 1 day, 6:08:18 time: 1.1501 data_time: 0.0276 memory: 22238 grad_norm: 22.4594 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8315 loss: 1.8315 2022/07/31 11:30:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 11:30:33 - mmengine - INFO - Epoch(train) [14][2440/2505] lr: 4.4000e-04 eta: 1 day, 6:07:50 time: 0.8526 data_time: 0.0301 memory: 22238 grad_norm: 21.8218 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9287 loss: 1.9287 2022/07/31 11:30:56 - mmengine - INFO - Epoch(train) [14][2460/2505] lr: 4.4000e-04 eta: 1 day, 6:07:39 time: 1.1324 data_time: 0.0261 memory: 22238 grad_norm: 22.5293 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7846 loss: 1.7846 2022/07/31 11:31:12 - mmengine - INFO - Epoch(train) [14][2480/2505] lr: 4.4000e-04 eta: 1 day, 6:07:08 time: 0.8035 data_time: 0.0267 memory: 22238 grad_norm: 21.1805 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0093 loss: 2.0093 2022/07/31 11:31:29 - mmengine - INFO - Epoch(train) [14][2500/2505] lr: 4.4000e-04 eta: 1 day, 6:06:42 time: 0.8776 data_time: 0.0281 memory: 22238 grad_norm: 21.1541 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8645 loss: 1.8645 2022/07/31 11:31:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 11:31:31 - mmengine - INFO - Epoch(train) [14][2505/2505] lr: 4.4000e-04 eta: 1 day, 6:06:42 time: 0.6434 data_time: 0.0199 memory: 22238 grad_norm: 22.0383 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.8492 loss: 1.8492 2022/07/31 11:31:31 - mmengine - INFO - Saving checkpoint at 14 epochs 2022/07/31 11:32:01 - mmengine - INFO - Epoch(train) [15][20/2505] lr: 4.7000e-04 eta: 1 day, 6:06:22 time: 1.3014 data_time: 0.8994 memory: 22238 grad_norm: 21.1678 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7473 loss: 1.7473 2022/07/31 11:32:19 - mmengine - INFO - Epoch(train) [15][40/2505] lr: 4.7000e-04 eta: 1 day, 6:05:56 time: 0.8864 data_time: 0.4698 memory: 22238 grad_norm: 22.4808 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.6942 loss: 1.6942 2022/07/31 11:32:40 - mmengine - INFO - Epoch(train) [15][60/2505] lr: 4.7000e-04 eta: 1 day, 6:05:41 time: 1.0478 data_time: 0.6538 memory: 22238 grad_norm: 22.5866 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8118 loss: 1.8118 2022/07/31 11:32:57 - mmengine - INFO - Epoch(train) [15][80/2505] lr: 4.7000e-04 eta: 1 day, 6:05:14 time: 0.8759 data_time: 0.4730 memory: 22238 grad_norm: 22.6584 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8509 loss: 1.8509 2022/07/31 11:33:19 - mmengine - INFO - Epoch(train) [15][100/2505] lr: 4.7000e-04 eta: 1 day, 6:05:01 time: 1.0884 data_time: 0.6840 memory: 22238 grad_norm: 21.5564 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9702 loss: 1.9702 2022/07/31 11:33:36 - mmengine - INFO - Epoch(train) [15][120/2505] lr: 4.7000e-04 eta: 1 day, 6:04:34 time: 0.8603 data_time: 0.4682 memory: 22238 grad_norm: 21.9986 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 2.0573 loss: 2.0573 2022/07/31 11:33:58 - mmengine - INFO - Epoch(train) [15][140/2505] lr: 4.7000e-04 eta: 1 day, 6:04:20 time: 1.0803 data_time: 0.6773 memory: 22238 grad_norm: 21.1906 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8570 loss: 1.8570 2022/07/31 11:34:16 - mmengine - INFO - Epoch(train) [15][160/2505] lr: 4.7000e-04 eta: 1 day, 6:03:54 time: 0.8842 data_time: 0.4822 memory: 22238 grad_norm: 21.6155 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7809 loss: 1.7809 2022/07/31 11:34:38 - mmengine - INFO - Epoch(train) [15][180/2505] lr: 4.7000e-04 eta: 1 day, 6:03:42 time: 1.0957 data_time: 0.7035 memory: 22238 grad_norm: 22.1754 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6228 loss: 1.6228 2022/07/31 11:34:55 - mmengine - INFO - Epoch(train) [15][200/2505] lr: 4.7000e-04 eta: 1 day, 6:03:15 time: 0.8729 data_time: 0.4819 memory: 22238 grad_norm: 23.0330 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6417 loss: 1.6417 2022/07/31 11:35:17 - mmengine - INFO - Epoch(train) [15][220/2505] lr: 4.7000e-04 eta: 1 day, 6:03:03 time: 1.1052 data_time: 0.7151 memory: 22238 grad_norm: 21.7575 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.7881 loss: 1.7881 2022/07/31 11:35:35 - mmengine - INFO - Epoch(train) [15][240/2505] lr: 4.7000e-04 eta: 1 day, 6:02:36 time: 0.8751 data_time: 0.4882 memory: 22238 grad_norm: 22.2460 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9463 loss: 1.9463 2022/07/31 11:35:58 - mmengine - INFO - Epoch(train) [15][260/2505] lr: 4.7000e-04 eta: 1 day, 6:02:27 time: 1.1419 data_time: 0.7456 memory: 22238 grad_norm: 20.9674 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8531 loss: 1.8531 2022/07/31 11:36:15 - mmengine - INFO - Epoch(train) [15][280/2505] lr: 4.7000e-04 eta: 1 day, 6:01:59 time: 0.8526 data_time: 0.4513 memory: 22238 grad_norm: 22.1631 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8626 loss: 1.8626 2022/07/31 11:36:36 - mmengine - INFO - Epoch(train) [15][300/2505] lr: 4.7000e-04 eta: 1 day, 6:01:45 time: 1.0753 data_time: 0.6688 memory: 22238 grad_norm: 22.4989 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.9295 loss: 1.9295 2022/07/31 11:36:53 - mmengine - INFO - Epoch(train) [15][320/2505] lr: 4.7000e-04 eta: 1 day, 6:01:16 time: 0.8420 data_time: 0.4525 memory: 22238 grad_norm: 22.0220 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6447 loss: 1.6447 2022/07/31 11:37:15 - mmengine - INFO - Epoch(train) [15][340/2505] lr: 4.7000e-04 eta: 1 day, 6:01:04 time: 1.1045 data_time: 0.7024 memory: 22238 grad_norm: 22.0140 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.9742 loss: 1.9742 2022/07/31 11:37:32 - mmengine - INFO - Epoch(train) [15][360/2505] lr: 4.7000e-04 eta: 1 day, 6:00:37 time: 0.8587 data_time: 0.4619 memory: 22238 grad_norm: 21.8922 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7421 loss: 1.7421 2022/07/31 11:37:55 - mmengine - INFO - Epoch(train) [15][380/2505] lr: 4.7000e-04 eta: 1 day, 6:00:28 time: 1.1573 data_time: 0.7404 memory: 22238 grad_norm: 22.1740 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7905 loss: 1.7905 2022/07/31 11:38:12 - mmengine - INFO - Epoch(train) [15][400/2505] lr: 4.7000e-04 eta: 1 day, 5:59:58 time: 0.8178 data_time: 0.4272 memory: 22238 grad_norm: 20.6560 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8842 loss: 1.8842 2022/07/31 11:38:33 - mmengine - INFO - Epoch(train) [15][420/2505] lr: 4.7000e-04 eta: 1 day, 5:59:43 time: 1.0535 data_time: 0.6513 memory: 22238 grad_norm: 21.8941 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5481 loss: 1.5481 2022/07/31 11:38:51 - mmengine - INFO - Epoch(train) [15][440/2505] lr: 4.7000e-04 eta: 1 day, 5:59:18 time: 0.9039 data_time: 0.4999 memory: 22238 grad_norm: 21.7844 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.7136 loss: 1.7136 2022/07/31 11:39:13 - mmengine - INFO - Epoch(train) [15][460/2505] lr: 4.7000e-04 eta: 1 day, 5:59:06 time: 1.0982 data_time: 0.7070 memory: 22238 grad_norm: 21.4303 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9685 loss: 1.9685 2022/07/31 11:39:31 - mmengine - INFO - Epoch(train) [15][480/2505] lr: 4.7000e-04 eta: 1 day, 5:58:41 time: 0.9010 data_time: 0.5058 memory: 22238 grad_norm: 21.7696 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7265 loss: 1.7265 2022/07/31 11:39:52 - mmengine - INFO - Epoch(train) [15][500/2505] lr: 4.7000e-04 eta: 1 day, 5:58:25 time: 1.0507 data_time: 0.6448 memory: 22238 grad_norm: 21.1336 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9148 loss: 1.9148 2022/07/31 11:40:09 - mmengine - INFO - Epoch(train) [15][520/2505] lr: 4.7000e-04 eta: 1 day, 5:57:59 time: 0.8708 data_time: 0.4716 memory: 22238 grad_norm: 21.8146 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9482 loss: 1.9482 2022/07/31 11:40:31 - mmengine - INFO - Epoch(train) [15][540/2505] lr: 4.7000e-04 eta: 1 day, 5:57:44 time: 1.0630 data_time: 0.6638 memory: 22238 grad_norm: 21.8418 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9477 loss: 1.9477 2022/07/31 11:40:48 - mmengine - INFO - Epoch(train) [15][560/2505] lr: 4.7000e-04 eta: 1 day, 5:57:18 time: 0.8895 data_time: 0.4786 memory: 22238 grad_norm: 22.1291 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.7484 loss: 1.7484 2022/07/31 11:41:10 - mmengine - INFO - Epoch(train) [15][580/2505] lr: 4.7000e-04 eta: 1 day, 5:57:05 time: 1.0830 data_time: 0.6867 memory: 22238 grad_norm: 21.3801 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7481 loss: 1.7481 2022/07/31 11:41:28 - mmengine - INFO - Epoch(train) [15][600/2505] lr: 4.7000e-04 eta: 1 day, 5:56:41 time: 0.9080 data_time: 0.5014 memory: 22238 grad_norm: 21.1516 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 1.9834 loss: 1.9834 2022/07/31 11:41:49 - mmengine - INFO - Epoch(train) [15][620/2505] lr: 4.7000e-04 eta: 1 day, 5:56:25 time: 1.0465 data_time: 0.6530 memory: 22238 grad_norm: 21.0723 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.9392 loss: 1.9392 2022/07/31 11:42:07 - mmengine - INFO - Epoch(train) [15][640/2505] lr: 4.7000e-04 eta: 1 day, 5:55:58 time: 0.8729 data_time: 0.4659 memory: 22238 grad_norm: 21.8390 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0678 loss: 2.0678 2022/07/31 11:42:29 - mmengine - INFO - Epoch(train) [15][660/2505] lr: 4.7000e-04 eta: 1 day, 5:55:46 time: 1.0968 data_time: 0.6840 memory: 22238 grad_norm: 21.9431 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0080 loss: 2.0080 2022/07/31 11:42:46 - mmengine - INFO - Epoch(train) [15][680/2505] lr: 4.7000e-04 eta: 1 day, 5:55:18 time: 0.8521 data_time: 0.4424 memory: 22238 grad_norm: 21.8791 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6929 loss: 1.6929 2022/07/31 11:43:07 - mmengine - INFO - Epoch(train) [15][700/2505] lr: 4.7000e-04 eta: 1 day, 5:55:04 time: 1.0705 data_time: 0.6066 memory: 22238 grad_norm: 22.5180 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0402 loss: 2.0402 2022/07/31 11:43:24 - mmengine - INFO - Epoch(train) [15][720/2505] lr: 4.7000e-04 eta: 1 day, 5:54:35 time: 0.8417 data_time: 0.3105 memory: 22238 grad_norm: 21.3681 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9908 loss: 1.9908 2022/07/31 11:43:46 - mmengine - INFO - Epoch(train) [15][740/2505] lr: 4.7000e-04 eta: 1 day, 5:54:23 time: 1.1029 data_time: 0.4717 memory: 22238 grad_norm: 21.6291 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8628 loss: 1.8628 2022/07/31 11:44:03 - mmengine - INFO - Epoch(train) [15][760/2505] lr: 4.7000e-04 eta: 1 day, 5:53:55 time: 0.8469 data_time: 0.3071 memory: 22238 grad_norm: 21.1546 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8669 loss: 1.8669 2022/07/31 11:44:25 - mmengine - INFO - Epoch(train) [15][780/2505] lr: 4.7000e-04 eta: 1 day, 5:53:42 time: 1.0924 data_time: 0.4881 memory: 22238 grad_norm: 21.4060 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6341 loss: 1.6341 2022/07/31 11:44:42 - mmengine - INFO - Epoch(train) [15][800/2505] lr: 4.7000e-04 eta: 1 day, 5:53:16 time: 0.8890 data_time: 0.3981 memory: 22238 grad_norm: 23.3385 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8744 loss: 1.8744 2022/07/31 11:45:04 - mmengine - INFO - Epoch(train) [15][820/2505] lr: 4.7000e-04 eta: 1 day, 5:53:03 time: 1.0792 data_time: 0.5255 memory: 22238 grad_norm: 21.7902 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7262 loss: 1.7262 2022/07/31 11:45:21 - mmengine - INFO - Epoch(train) [15][840/2505] lr: 4.7000e-04 eta: 1 day, 5:52:36 time: 0.8621 data_time: 0.2904 memory: 22238 grad_norm: 21.4690 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6602 loss: 1.6602 2022/07/31 11:45:43 - mmengine - INFO - Epoch(train) [15][860/2505] lr: 4.7000e-04 eta: 1 day, 5:52:23 time: 1.1051 data_time: 0.3370 memory: 22238 grad_norm: 21.3530 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6621 loss: 1.6621 2022/07/31 11:46:01 - mmengine - INFO - Epoch(train) [15][880/2505] lr: 4.7000e-04 eta: 1 day, 5:51:57 time: 0.8755 data_time: 0.1328 memory: 22238 grad_norm: 21.9172 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9060 loss: 1.9060 2022/07/31 11:46:23 - mmengine - INFO - Epoch(train) [15][900/2505] lr: 4.7000e-04 eta: 1 day, 5:51:46 time: 1.1163 data_time: 0.2354 memory: 22238 grad_norm: 21.7509 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.0095 loss: 2.0095 2022/07/31 11:46:40 - mmengine - INFO - Epoch(train) [15][920/2505] lr: 4.7000e-04 eta: 1 day, 5:51:18 time: 0.8562 data_time: 0.0814 memory: 22238 grad_norm: 21.8402 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.7961 loss: 1.7961 2022/07/31 11:46:52 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 11:47:02 - mmengine - INFO - Epoch(train) [15][940/2505] lr: 4.7000e-04 eta: 1 day, 5:51:04 time: 1.0758 data_time: 0.0722 memory: 22238 grad_norm: 22.0724 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6338 loss: 1.6338 2022/07/31 11:47:19 - mmengine - INFO - Epoch(train) [15][960/2505] lr: 4.7000e-04 eta: 1 day, 5:50:37 time: 0.8586 data_time: 0.0281 memory: 22238 grad_norm: 21.1167 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0454 loss: 2.0454 2022/07/31 11:47:41 - mmengine - INFO - Epoch(train) [15][980/2505] lr: 4.7000e-04 eta: 1 day, 5:50:24 time: 1.0943 data_time: 0.0320 memory: 22238 grad_norm: 20.7629 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9051 loss: 1.9051 2022/07/31 11:47:59 - mmengine - INFO - Epoch(train) [15][1000/2505] lr: 4.7000e-04 eta: 1 day, 5:49:59 time: 0.9005 data_time: 0.0286 memory: 22238 grad_norm: 22.0716 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.0943 loss: 2.0943 2022/07/31 11:48:21 - mmengine - INFO - Epoch(train) [15][1020/2505] lr: 4.7000e-04 eta: 1 day, 5:49:46 time: 1.0830 data_time: 0.0302 memory: 22238 grad_norm: 22.5365 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9875 loss: 1.9875 2022/07/31 11:48:39 - mmengine - INFO - Epoch(train) [15][1040/2505] lr: 4.7000e-04 eta: 1 day, 5:49:23 time: 0.9353 data_time: 0.0291 memory: 22238 grad_norm: 21.8662 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6994 loss: 1.6994 2022/07/31 11:49:01 - mmengine - INFO - Epoch(train) [15][1060/2505] lr: 4.7000e-04 eta: 1 day, 5:49:09 time: 1.0777 data_time: 0.0305 memory: 22238 grad_norm: 21.4002 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8342 loss: 1.8342 2022/07/31 11:49:18 - mmengine - INFO - Epoch(train) [15][1080/2505] lr: 4.7000e-04 eta: 1 day, 5:48:42 time: 0.8612 data_time: 0.0276 memory: 22238 grad_norm: 21.7841 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7077 loss: 1.7077 2022/07/31 11:49:41 - mmengine - INFO - Epoch(train) [15][1100/2505] lr: 4.7000e-04 eta: 1 day, 5:48:31 time: 1.1248 data_time: 0.0312 memory: 22238 grad_norm: 22.2937 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7241 loss: 1.7241 2022/07/31 11:49:58 - mmengine - INFO - Epoch(train) [15][1120/2505] lr: 4.7000e-04 eta: 1 day, 5:48:03 time: 0.8452 data_time: 0.0288 memory: 22238 grad_norm: 21.7062 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5207 loss: 1.5207 2022/07/31 11:50:20 - mmengine - INFO - Epoch(train) [15][1140/2505] lr: 4.7000e-04 eta: 1 day, 5:47:53 time: 1.1473 data_time: 0.0325 memory: 22238 grad_norm: 22.0680 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8382 loss: 1.8382 2022/07/31 11:50:38 - mmengine - INFO - Epoch(train) [15][1160/2505] lr: 4.7000e-04 eta: 1 day, 5:47:26 time: 0.8690 data_time: 0.0289 memory: 22238 grad_norm: 21.8751 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1131 loss: 2.1131 2022/07/31 11:50:59 - mmengine - INFO - Epoch(train) [15][1180/2505] lr: 4.7000e-04 eta: 1 day, 5:47:13 time: 1.0796 data_time: 0.0312 memory: 22238 grad_norm: 22.0861 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8859 loss: 1.8859 2022/07/31 11:51:17 - mmengine - INFO - Epoch(train) [15][1200/2505] lr: 4.7000e-04 eta: 1 day, 5:46:45 time: 0.8541 data_time: 0.0297 memory: 22238 grad_norm: 21.4798 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8016 loss: 1.8016 2022/07/31 11:51:39 - mmengine - INFO - Epoch(train) [15][1220/2505] lr: 4.7000e-04 eta: 1 day, 5:46:34 time: 1.1200 data_time: 0.0278 memory: 22238 grad_norm: 21.7406 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5932 loss: 1.5932 2022/07/31 11:51:54 - mmengine - INFO - Epoch(train) [15][1240/2505] lr: 4.7000e-04 eta: 1 day, 5:46:01 time: 0.7719 data_time: 0.0318 memory: 22238 grad_norm: 21.6168 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7079 loss: 1.7079 2022/07/31 11:52:16 - mmengine - INFO - Epoch(train) [15][1260/2505] lr: 4.7000e-04 eta: 1 day, 5:45:47 time: 1.0797 data_time: 0.0274 memory: 22238 grad_norm: 22.0328 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.8607 loss: 1.8607 2022/07/31 11:52:33 - mmengine - INFO - Epoch(train) [15][1280/2505] lr: 4.7000e-04 eta: 1 day, 5:45:21 time: 0.8662 data_time: 0.0277 memory: 22238 grad_norm: 21.9956 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8187 loss: 1.8187 2022/07/31 11:52:56 - mmengine - INFO - Epoch(train) [15][1300/2505] lr: 4.7000e-04 eta: 1 day, 5:45:09 time: 1.1100 data_time: 0.0277 memory: 22238 grad_norm: 21.0734 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7854 loss: 1.7854 2022/07/31 11:53:13 - mmengine - INFO - Epoch(train) [15][1320/2505] lr: 4.7000e-04 eta: 1 day, 5:44:43 time: 0.8820 data_time: 0.0358 memory: 22238 grad_norm: 20.7039 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7848 loss: 1.7848 2022/07/31 11:53:34 - mmengine - INFO - Epoch(train) [15][1340/2505] lr: 4.7000e-04 eta: 1 day, 5:44:28 time: 1.0658 data_time: 0.0280 memory: 22238 grad_norm: 21.5834 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7153 loss: 1.7153 2022/07/31 11:53:51 - mmengine - INFO - Epoch(train) [15][1360/2505] lr: 4.7000e-04 eta: 1 day, 5:43:59 time: 0.8264 data_time: 0.0288 memory: 22238 grad_norm: 20.9502 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6380 loss: 1.6380 2022/07/31 11:54:14 - mmengine - INFO - Epoch(train) [15][1380/2505] lr: 4.7000e-04 eta: 1 day, 5:43:48 time: 1.1240 data_time: 0.0343 memory: 22238 grad_norm: 20.9516 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8047 loss: 1.8047 2022/07/31 11:54:31 - mmengine - INFO - Epoch(train) [15][1400/2505] lr: 4.7000e-04 eta: 1 day, 5:43:21 time: 0.8554 data_time: 0.0312 memory: 22238 grad_norm: 21.9813 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8501 loss: 1.8501 2022/07/31 11:54:52 - mmengine - INFO - Epoch(train) [15][1420/2505] lr: 4.7000e-04 eta: 1 day, 5:43:07 time: 1.0924 data_time: 0.0326 memory: 22238 grad_norm: 22.7724 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8575 loss: 1.8575 2022/07/31 11:55:10 - mmengine - INFO - Epoch(train) [15][1440/2505] lr: 4.7000e-04 eta: 1 day, 5:42:42 time: 0.8856 data_time: 0.0297 memory: 22238 grad_norm: 21.2581 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.9250 loss: 1.9250 2022/07/31 11:55:32 - mmengine - INFO - Epoch(train) [15][1460/2505] lr: 4.7000e-04 eta: 1 day, 5:42:29 time: 1.0990 data_time: 0.0325 memory: 22238 grad_norm: 21.3177 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.0356 loss: 2.0356 2022/07/31 11:55:49 - mmengine - INFO - Epoch(train) [15][1480/2505] lr: 4.7000e-04 eta: 1 day, 5:42:02 time: 0.8516 data_time: 0.0339 memory: 22238 grad_norm: 21.5754 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8981 loss: 1.8981 2022/07/31 11:56:10 - mmengine - INFO - Epoch(train) [15][1500/2505] lr: 4.7000e-04 eta: 1 day, 5:41:47 time: 1.0638 data_time: 0.0321 memory: 22238 grad_norm: 22.0104 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8596 loss: 1.8596 2022/07/31 11:56:28 - mmengine - INFO - Epoch(train) [15][1520/2505] lr: 4.7000e-04 eta: 1 day, 5:41:20 time: 0.8644 data_time: 0.0288 memory: 22238 grad_norm: 21.7099 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 2.0488 loss: 2.0488 2022/07/31 11:56:50 - mmengine - INFO - Epoch(train) [15][1540/2505] lr: 4.7000e-04 eta: 1 day, 5:41:08 time: 1.1138 data_time: 0.0322 memory: 22238 grad_norm: 21.7358 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6065 loss: 1.6065 2022/07/31 11:57:08 - mmengine - INFO - Epoch(train) [15][1560/2505] lr: 4.7000e-04 eta: 1 day, 5:40:43 time: 0.8951 data_time: 0.0290 memory: 22238 grad_norm: 21.7816 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6660 loss: 1.6660 2022/07/31 11:57:29 - mmengine - INFO - Epoch(train) [15][1580/2505] lr: 4.7000e-04 eta: 1 day, 5:40:28 time: 1.0570 data_time: 0.0324 memory: 22238 grad_norm: 21.8090 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9890 loss: 1.9890 2022/07/31 11:57:46 - mmengine - INFO - Epoch(train) [15][1600/2505] lr: 4.7000e-04 eta: 1 day, 5:40:01 time: 0.8586 data_time: 0.0274 memory: 22238 grad_norm: 21.0312 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6692 loss: 1.6692 2022/07/31 11:58:08 - mmengine - INFO - Epoch(train) [15][1620/2505] lr: 4.7000e-04 eta: 1 day, 5:39:47 time: 1.0801 data_time: 0.0298 memory: 22238 grad_norm: 21.0286 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7874 loss: 1.7874 2022/07/31 11:58:25 - mmengine - INFO - Epoch(train) [15][1640/2505] lr: 4.7000e-04 eta: 1 day, 5:39:21 time: 0.8776 data_time: 0.0277 memory: 22238 grad_norm: 21.6328 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7356 loss: 1.7356 2022/07/31 11:58:46 - mmengine - INFO - Epoch(train) [15][1660/2505] lr: 4.7000e-04 eta: 1 day, 5:39:05 time: 1.0449 data_time: 0.0276 memory: 22238 grad_norm: 21.8065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0213 loss: 2.0213 2022/07/31 11:59:05 - mmengine - INFO - Epoch(train) [15][1680/2505] lr: 4.7000e-04 eta: 1 day, 5:38:41 time: 0.9141 data_time: 0.0274 memory: 22238 grad_norm: 23.1010 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.9139 loss: 1.9139 2022/07/31 11:59:27 - mmengine - INFO - Epoch(train) [15][1700/2505] lr: 4.7000e-04 eta: 1 day, 5:38:29 time: 1.1133 data_time: 0.0304 memory: 22238 grad_norm: 20.3388 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8006 loss: 1.8006 2022/07/31 11:59:44 - mmengine - INFO - Epoch(train) [15][1720/2505] lr: 4.7000e-04 eta: 1 day, 5:38:01 time: 0.8434 data_time: 0.0277 memory: 22238 grad_norm: 21.3303 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6928 loss: 1.6928 2022/07/31 12:00:07 - mmengine - INFO - Epoch(train) [15][1740/2505] lr: 4.7000e-04 eta: 1 day, 5:37:54 time: 1.1839 data_time: 0.0317 memory: 22238 grad_norm: 21.3474 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7128 loss: 1.7128 2022/07/31 12:00:23 - mmengine - INFO - Epoch(train) [15][1760/2505] lr: 4.7000e-04 eta: 1 day, 5:37:23 time: 0.7979 data_time: 0.0280 memory: 22238 grad_norm: 21.7778 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8117 loss: 1.8117 2022/07/31 12:00:45 - mmengine - INFO - Epoch(train) [15][1780/2505] lr: 4.7000e-04 eta: 1 day, 5:37:09 time: 1.0855 data_time: 0.0304 memory: 22238 grad_norm: 21.5849 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7116 loss: 1.7116 2022/07/31 12:01:03 - mmengine - INFO - Epoch(train) [15][1800/2505] lr: 4.7000e-04 eta: 1 day, 5:36:45 time: 0.9084 data_time: 0.0335 memory: 22238 grad_norm: 21.8569 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5316 loss: 1.5316 2022/07/31 12:01:24 - mmengine - INFO - Epoch(train) [15][1820/2505] lr: 4.7000e-04 eta: 1 day, 5:36:29 time: 1.0347 data_time: 0.0286 memory: 22238 grad_norm: 21.8165 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.8199 loss: 1.8199 2022/07/31 12:01:42 - mmengine - INFO - Epoch(train) [15][1840/2505] lr: 4.7000e-04 eta: 1 day, 5:36:04 time: 0.9002 data_time: 0.0301 memory: 22238 grad_norm: 21.8940 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7479 loss: 1.7479 2022/07/31 12:02:04 - mmengine - INFO - Epoch(train) [15][1860/2505] lr: 4.7000e-04 eta: 1 day, 5:35:51 time: 1.1029 data_time: 0.0309 memory: 22238 grad_norm: 22.0585 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6939 loss: 1.6939 2022/07/31 12:02:22 - mmengine - INFO - Epoch(train) [15][1880/2505] lr: 4.7000e-04 eta: 1 day, 5:35:27 time: 0.9006 data_time: 0.0291 memory: 22238 grad_norm: 21.4464 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1086 loss: 2.1086 2022/07/31 12:02:44 - mmengine - INFO - Epoch(train) [15][1900/2505] lr: 4.7000e-04 eta: 1 day, 5:35:14 time: 1.0950 data_time: 0.0288 memory: 22238 grad_norm: 21.4053 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9265 loss: 1.9265 2022/07/31 12:03:01 - mmengine - INFO - Epoch(train) [15][1920/2505] lr: 4.7000e-04 eta: 1 day, 5:34:47 time: 0.8654 data_time: 0.0313 memory: 22238 grad_norm: 22.4260 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7498 loss: 1.7498 2022/07/31 12:03:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 12:03:23 - mmengine - INFO - Epoch(train) [15][1940/2505] lr: 4.7000e-04 eta: 1 day, 5:34:33 time: 1.0765 data_time: 0.0287 memory: 22238 grad_norm: 21.0816 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5730 loss: 1.5730 2022/07/31 12:03:41 - mmengine - INFO - Epoch(train) [15][1960/2505] lr: 4.7000e-04 eta: 1 day, 5:34:08 time: 0.8899 data_time: 0.0285 memory: 22238 grad_norm: 21.9924 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0842 loss: 2.0842 2022/07/31 12:04:03 - mmengine - INFO - Epoch(train) [15][1980/2505] lr: 4.7000e-04 eta: 1 day, 5:33:56 time: 1.1244 data_time: 0.0355 memory: 22238 grad_norm: 20.8835 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6401 loss: 1.6401 2022/07/31 12:04:19 - mmengine - INFO - Epoch(train) [15][2000/2505] lr: 4.7000e-04 eta: 1 day, 5:33:26 time: 0.8022 data_time: 0.0302 memory: 22238 grad_norm: 22.2997 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8760 loss: 1.8760 2022/07/31 12:04:40 - mmengine - INFO - Epoch(train) [15][2020/2505] lr: 4.7000e-04 eta: 1 day, 5:33:09 time: 1.0311 data_time: 0.0264 memory: 22238 grad_norm: 21.5716 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9286 loss: 1.9286 2022/07/31 12:04:57 - mmengine - INFO - Epoch(train) [15][2040/2505] lr: 4.7000e-04 eta: 1 day, 5:32:41 time: 0.8427 data_time: 0.0285 memory: 22238 grad_norm: 22.3120 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7401 loss: 1.7401 2022/07/31 12:05:19 - mmengine - INFO - Epoch(train) [15][2060/2505] lr: 4.7000e-04 eta: 1 day, 5:32:30 time: 1.1204 data_time: 0.0300 memory: 22238 grad_norm: 21.6121 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.8241 loss: 1.8241 2022/07/31 12:05:36 - mmengine - INFO - Epoch(train) [15][2080/2505] lr: 4.7000e-04 eta: 1 day, 5:32:01 time: 0.8354 data_time: 0.0289 memory: 22238 grad_norm: 20.7804 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0015 loss: 2.0015 2022/07/31 12:05:58 - mmengine - INFO - Epoch(train) [15][2100/2505] lr: 4.7000e-04 eta: 1 day, 5:31:49 time: 1.1088 data_time: 0.0271 memory: 22238 grad_norm: 20.9065 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9899 loss: 1.9899 2022/07/31 12:06:16 - mmengine - INFO - Epoch(train) [15][2120/2505] lr: 4.7000e-04 eta: 1 day, 5:31:24 time: 0.8871 data_time: 0.0292 memory: 22238 grad_norm: 21.7070 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.8673 loss: 1.8673 2022/07/31 12:06:38 - mmengine - INFO - Epoch(train) [15][2140/2505] lr: 4.7000e-04 eta: 1 day, 5:31:11 time: 1.0978 data_time: 0.0290 memory: 22238 grad_norm: 21.2106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8914 loss: 1.8914 2022/07/31 12:06:55 - mmengine - INFO - Epoch(train) [15][2160/2505] lr: 4.7000e-04 eta: 1 day, 5:30:44 time: 0.8612 data_time: 0.0286 memory: 22238 grad_norm: 22.0509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6121 loss: 1.6121 2022/07/31 12:07:17 - mmengine - INFO - Epoch(train) [15][2180/2505] lr: 4.7000e-04 eta: 1 day, 5:30:33 time: 1.1318 data_time: 0.0287 memory: 22238 grad_norm: 20.9062 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5209 loss: 1.5209 2022/07/31 12:07:35 - mmengine - INFO - Epoch(train) [15][2200/2505] lr: 4.7000e-04 eta: 1 day, 5:30:07 time: 0.8693 data_time: 0.0286 memory: 22238 grad_norm: 21.8990 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6378 loss: 1.6378 2022/07/31 12:07:57 - mmengine - INFO - Epoch(train) [15][2220/2505] lr: 4.7000e-04 eta: 1 day, 5:29:54 time: 1.1023 data_time: 0.0285 memory: 22238 grad_norm: 21.1903 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6160 loss: 1.6160 2022/07/31 12:08:14 - mmengine - INFO - Epoch(train) [15][2240/2505] lr: 4.7000e-04 eta: 1 day, 5:29:27 time: 0.8483 data_time: 0.0355 memory: 22238 grad_norm: 22.0716 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8912 loss: 1.8912 2022/07/31 12:08:36 - mmengine - INFO - Epoch(train) [15][2260/2505] lr: 4.7000e-04 eta: 1 day, 5:29:13 time: 1.0906 data_time: 0.0315 memory: 22238 grad_norm: 20.6219 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9715 loss: 1.9715 2022/07/31 12:08:53 - mmengine - INFO - Epoch(train) [15][2280/2505] lr: 4.7000e-04 eta: 1 day, 5:28:47 time: 0.8691 data_time: 0.0316 memory: 22238 grad_norm: 21.5485 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7867 loss: 1.7867 2022/07/31 12:09:14 - mmengine - INFO - Epoch(train) [15][2300/2505] lr: 4.7000e-04 eta: 1 day, 5:28:31 time: 1.0510 data_time: 0.0323 memory: 22238 grad_norm: 21.8608 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7691 loss: 1.7691 2022/07/31 12:09:31 - mmengine - INFO - Epoch(train) [15][2320/2505] lr: 4.7000e-04 eta: 1 day, 5:28:03 time: 0.8432 data_time: 0.0284 memory: 22238 grad_norm: 22.0811 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7637 loss: 1.7637 2022/07/31 12:09:53 - mmengine - INFO - Epoch(train) [15][2340/2505] lr: 4.7000e-04 eta: 1 day, 5:27:50 time: 1.0961 data_time: 0.0330 memory: 22238 grad_norm: 20.8834 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8604 loss: 1.8604 2022/07/31 12:10:11 - mmengine - INFO - Epoch(train) [15][2360/2505] lr: 4.7000e-04 eta: 1 day, 5:27:25 time: 0.8901 data_time: 0.0282 memory: 22238 grad_norm: 20.7131 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.9079 loss: 1.9079 2022/07/31 12:10:34 - mmengine - INFO - Epoch(train) [15][2380/2505] lr: 4.7000e-04 eta: 1 day, 5:27:15 time: 1.1528 data_time: 0.0372 memory: 22238 grad_norm: 21.0369 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7871 loss: 1.7871 2022/07/31 12:10:51 - mmengine - INFO - Epoch(train) [15][2400/2505] lr: 4.7000e-04 eta: 1 day, 5:26:47 time: 0.8404 data_time: 0.0295 memory: 22238 grad_norm: 21.4784 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8462 loss: 1.8462 2022/07/31 12:11:12 - mmengine - INFO - Epoch(train) [15][2420/2505] lr: 4.7000e-04 eta: 1 day, 5:26:33 time: 1.0695 data_time: 0.0349 memory: 22238 grad_norm: 22.4727 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.1061 loss: 2.1061 2022/07/31 12:11:30 - mmengine - INFO - Epoch(train) [15][2440/2505] lr: 4.7000e-04 eta: 1 day, 5:26:08 time: 0.9004 data_time: 0.0278 memory: 22238 grad_norm: 21.6629 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8407 loss: 1.8407 2022/07/31 12:11:52 - mmengine - INFO - Epoch(train) [15][2460/2505] lr: 4.7000e-04 eta: 1 day, 5:25:55 time: 1.0924 data_time: 0.0353 memory: 22238 grad_norm: 21.2307 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8149 loss: 1.8149 2022/07/31 12:12:09 - mmengine - INFO - Epoch(train) [15][2480/2505] lr: 4.7000e-04 eta: 1 day, 5:25:29 time: 0.8699 data_time: 0.0275 memory: 22238 grad_norm: 21.2702 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.8574 loss: 1.8574 2022/07/31 12:12:27 - mmengine - INFO - Epoch(train) [15][2500/2505] lr: 4.7000e-04 eta: 1 day, 5:25:04 time: 0.8979 data_time: 0.0346 memory: 22238 grad_norm: 21.3028 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8690 loss: 1.8690 2022/07/31 12:12:29 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 12:12:29 - mmengine - INFO - Epoch(train) [15][2505/2505] lr: 4.7000e-04 eta: 1 day, 5:25:04 time: 0.6893 data_time: 0.0223 memory: 22238 grad_norm: 21.8314 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7292 loss: 1.7292 2022/07/31 12:12:32 - mmengine - INFO - Epoch(val) [15][20/2475] eta: 0:04:34 time: 0.1119 data_time: 0.0925 memory: 564 2022/07/31 12:12:33 - mmengine - INFO - Epoch(val) [15][40/2475] eta: 0:03:00 time: 0.0740 data_time: 0.0494 memory: 564 2022/07/31 12:12:35 - mmengine - INFO - Epoch(val) [15][60/2475] eta: 0:03:59 time: 0.0993 data_time: 0.0790 memory: 564 2022/07/31 12:12:37 - mmengine - INFO - Epoch(val) [15][80/2475] eta: 0:02:46 time: 0.0696 data_time: 0.0512 memory: 564 2022/07/31 12:12:39 - mmengine - INFO - Epoch(val) [15][100/2475] eta: 0:03:51 time: 0.0973 data_time: 0.0775 memory: 564 2022/07/31 12:12:40 - mmengine - INFO - Epoch(val) [15][120/2475] eta: 0:02:39 time: 0.0679 data_time: 0.0482 memory: 564 2022/07/31 12:12:42 - mmengine - INFO - Epoch(val) [15][140/2475] eta: 0:03:21 time: 0.0865 data_time: 0.0679 memory: 564 2022/07/31 12:12:43 - mmengine - INFO - Epoch(val) [15][160/2475] eta: 0:02:53 time: 0.0749 data_time: 0.0563 memory: 564 2022/07/31 12:12:45 - mmengine - INFO - Epoch(val) [15][180/2475] eta: 0:03:37 time: 0.0948 data_time: 0.0761 memory: 564 2022/07/31 12:12:46 - mmengine - INFO - Epoch(val) [15][200/2475] eta: 0:02:30 time: 0.0662 data_time: 0.0469 memory: 564 2022/07/31 12:12:48 - mmengine - INFO - Epoch(val) [15][220/2475] eta: 0:03:28 time: 0.0925 data_time: 0.0606 memory: 564 2022/07/31 12:12:49 - mmengine - INFO - Epoch(val) [15][240/2475] eta: 0:02:19 time: 0.0623 data_time: 0.0448 memory: 564 2022/07/31 12:12:51 - mmengine - INFO - Epoch(val) [15][260/2475] eta: 0:03:19 time: 0.0903 data_time: 0.0711 memory: 564 2022/07/31 12:12:53 - mmengine - INFO - Epoch(val) [15][280/2475] eta: 0:02:39 time: 0.0725 data_time: 0.0552 memory: 564 2022/07/31 12:12:55 - mmengine - INFO - Epoch(val) [15][300/2475] eta: 0:03:19 time: 0.0917 data_time: 0.0740 memory: 564 2022/07/31 12:12:56 - mmengine - INFO - Epoch(val) [15][320/2475] eta: 0:02:39 time: 0.0742 data_time: 0.0573 memory: 564 2022/07/31 12:12:58 - mmengine - INFO - Epoch(val) [15][340/2475] eta: 0:03:31 time: 0.0992 data_time: 0.0786 memory: 564 2022/07/31 12:12:59 - mmengine - INFO - Epoch(val) [15][360/2475] eta: 0:02:06 time: 0.0597 data_time: 0.0419 memory: 564 2022/07/31 12:13:01 - mmengine - INFO - Epoch(val) [15][380/2475] eta: 0:02:59 time: 0.0858 data_time: 0.0653 memory: 564 2022/07/31 12:13:02 - mmengine - INFO - Epoch(val) [15][400/2475] eta: 0:02:30 time: 0.0726 data_time: 0.0502 memory: 564 2022/07/31 12:13:04 - mmengine - INFO - Epoch(val) [15][420/2475] eta: 0:03:07 time: 0.0915 data_time: 0.0734 memory: 564 2022/07/31 12:13:05 - mmengine - INFO - Epoch(val) [15][440/2475] eta: 0:02:12 time: 0.0651 data_time: 0.0464 memory: 564 2022/07/31 12:13:07 - mmengine - INFO - Epoch(val) [15][460/2475] eta: 0:03:10 time: 0.0947 data_time: 0.0767 memory: 564 2022/07/31 12:13:09 - mmengine - INFO - Epoch(val) [15][480/2475] eta: 0:02:10 time: 0.0655 data_time: 0.0424 memory: 564 2022/07/31 12:13:10 - 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mmengine - INFO - Epoch(val) [15][680/2475] eta: 0:02:10 time: 0.0729 data_time: 0.0533 memory: 564 2022/07/31 12:13:27 - mmengine - INFO - Epoch(val) [15][700/2475] eta: 0:02:44 time: 0.0925 data_time: 0.0747 memory: 564 2022/07/31 12:13:29 - mmengine - INFO - Epoch(val) [15][720/2475] eta: 0:02:16 time: 0.0777 data_time: 0.0539 memory: 564 2022/07/31 12:13:30 - mmengine - INFO - Epoch(val) [15][740/2475] eta: 0:02:20 time: 0.0808 data_time: 0.0608 memory: 564 2022/07/31 12:13:32 - mmengine - INFO - Epoch(val) [15][760/2475] eta: 0:02:01 time: 0.0708 data_time: 0.0514 memory: 564 2022/07/31 12:13:33 - mmengine - INFO - Epoch(val) [15][780/2475] eta: 0:02:28 time: 0.0875 data_time: 0.0678 memory: 564 2022/07/31 12:13:35 - mmengine - INFO - Epoch(val) [15][800/2475] eta: 0:01:44 time: 0.0625 data_time: 0.0418 memory: 564 2022/07/31 12:13:37 - mmengine - INFO - Epoch(val) [15][820/2475] eta: 0:02:39 time: 0.0965 data_time: 0.0780 memory: 564 2022/07/31 12:13:38 - mmengine - INFO - Epoch(val) [15][840/2475] eta: 0:01:54 time: 0.0700 data_time: 0.0505 memory: 564 2022/07/31 12:13:40 - 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mmengine - INFO - Epoch(val) [15][1040/2475] eta: 0:01:39 time: 0.0691 data_time: 0.0482 memory: 564 2022/07/31 12:13:56 - mmengine - INFO - Epoch(val) [15][1060/2475] eta: 0:01:59 time: 0.0847 data_time: 0.0635 memory: 564 2022/07/31 12:13:58 - mmengine - INFO - Epoch(val) [15][1080/2475] eta: 0:01:41 time: 0.0729 data_time: 0.0493 memory: 564 2022/07/31 12:14:00 - mmengine - INFO - Epoch(val) [15][1100/2475] eta: 0:02:07 time: 0.0924 data_time: 0.0722 memory: 564 2022/07/31 12:14:01 - mmengine - INFO - Epoch(val) [15][1120/2475] eta: 0:01:34 time: 0.0698 data_time: 0.0527 memory: 564 2022/07/31 12:14:03 - mmengine - INFO - Epoch(val) [15][1140/2475] eta: 0:02:09 time: 0.0972 data_time: 0.0807 memory: 564 2022/07/31 12:14:04 - mmengine - INFO - Epoch(val) [15][1160/2475] eta: 0:01:27 time: 0.0667 data_time: 0.0467 memory: 564 2022/07/31 12:14:06 - mmengine - INFO - Epoch(val) [15][1180/2475] eta: 0:01:50 time: 0.0850 data_time: 0.0671 memory: 564 2022/07/31 12:14:08 - mmengine - INFO - Epoch(val) [15][1200/2475] eta: 0:01:33 time: 0.0731 data_time: 0.0525 memory: 564 2022/07/31 12:14:09 - mmengine - INFO - Epoch(val) [15][1220/2475] eta: 0:01:43 time: 0.0823 data_time: 0.0592 memory: 564 2022/07/31 12:14:11 - mmengine - INFO - Epoch(val) [15][1240/2475] eta: 0:01:37 time: 0.0788 data_time: 0.0606 memory: 564 2022/07/31 12:14:12 - mmengine - INFO - Epoch(val) [15][1260/2475] eta: 0:01:41 time: 0.0839 data_time: 0.0649 memory: 564 2022/07/31 12:14:14 - mmengine - INFO - Epoch(val) [15][1280/2475] eta: 0:01:35 time: 0.0802 data_time: 0.0630 memory: 564 2022/07/31 12:14:16 - mmengine - INFO - Epoch(val) [15][1300/2475] eta: 0:01:47 time: 0.0918 data_time: 0.0732 memory: 564 2022/07/31 12:14:17 - mmengine - INFO - Epoch(val) [15][1320/2475] eta: 0:01:13 time: 0.0638 data_time: 0.0446 memory: 564 2022/07/31 12:14:19 - mmengine - INFO - Epoch(val) [15][1340/2475] eta: 0:01:45 time: 0.0933 data_time: 0.0739 memory: 564 2022/07/31 12:14:20 - mmengine - INFO - Epoch(val) [15][1360/2475] eta: 0:01:16 time: 0.0686 data_time: 0.0474 memory: 564 2022/07/31 12:14:22 - mmengine - INFO - Epoch(val) [15][1380/2475] eta: 0:01:34 time: 0.0862 data_time: 0.0668 memory: 564 2022/07/31 12:14:24 - mmengine - INFO - Epoch(val) [15][1400/2475] eta: 0:01:21 time: 0.0757 data_time: 0.0570 memory: 564 2022/07/31 12:14:25 - mmengine - INFO - Epoch(val) [15][1420/2475] eta: 0:01:35 time: 0.0905 data_time: 0.0718 memory: 564 2022/07/31 12:14:27 - mmengine - INFO - Epoch(val) [15][1440/2475] eta: 0:01:09 time: 0.0671 data_time: 0.0472 memory: 564 2022/07/31 12:14:29 - mmengine - INFO - Epoch(val) [15][1460/2475] eta: 0:01:28 time: 0.0872 data_time: 0.0676 memory: 564 2022/07/31 12:14:30 - mmengine - INFO - Epoch(val) [15][1480/2475] eta: 0:01:17 time: 0.0779 data_time: 0.0587 memory: 564 2022/07/31 12:14:32 - mmengine - INFO - Epoch(val) [15][1500/2475] eta: 0:01:18 time: 0.0810 data_time: 0.0611 memory: 564 2022/07/31 12:14:33 - mmengine - INFO - Epoch(val) [15][1520/2475] eta: 0:01:14 time: 0.0775 data_time: 0.0582 memory: 564 2022/07/31 12:14:35 - mmengine - INFO - Epoch(val) [15][1540/2475] eta: 0:01:24 time: 0.0902 data_time: 0.0728 memory: 564 2022/07/31 12:14:37 - mmengine - INFO - Epoch(val) [15][1560/2475] eta: 0:01:07 time: 0.0736 data_time: 0.0564 memory: 564 2022/07/31 12:14:38 - mmengine - INFO - Epoch(val) [15][1580/2475] eta: 0:01:14 time: 0.0837 data_time: 0.0646 memory: 564 2022/07/31 12:14:40 - mmengine - INFO - Epoch(val) [15][1600/2475] eta: 0:01:10 time: 0.0811 data_time: 0.0622 memory: 564 2022/07/31 12:14:42 - mmengine - INFO - Epoch(val) [15][1620/2475] eta: 0:01:10 time: 0.0830 data_time: 0.0592 memory: 564 2022/07/31 12:14:43 - mmengine - INFO - Epoch(val) [15][1640/2475] eta: 0:01:07 time: 0.0813 data_time: 0.0601 memory: 564 2022/07/31 12:14:45 - mmengine - INFO - Epoch(val) [15][1660/2475] eta: 0:01:07 time: 0.0832 data_time: 0.0620 memory: 564 2022/07/31 12:14:46 - mmengine - INFO - Epoch(val) [15][1680/2475] eta: 0:00:57 time: 0.0728 data_time: 0.0538 memory: 564 2022/07/31 12:14:48 - mmengine - INFO - Epoch(val) [15][1700/2475] eta: 0:01:08 time: 0.0882 data_time: 0.0677 memory: 564 2022/07/31 12:14:50 - mmengine - INFO - Epoch(val) [15][1720/2475] eta: 0:01:07 time: 0.0897 data_time: 0.0709 memory: 564 2022/07/31 12:14:51 - mmengine - INFO - Epoch(val) [15][1740/2475] eta: 0:00:48 time: 0.0664 data_time: 0.0479 memory: 564 2022/07/31 12:14:53 - mmengine - INFO - Epoch(val) [15][1760/2475] eta: 0:01:07 time: 0.0951 data_time: 0.0757 memory: 564 2022/07/31 12:14:55 - mmengine - INFO - Epoch(val) [15][1780/2475] eta: 0:00:55 time: 0.0793 data_time: 0.0620 memory: 564 2022/07/31 12:14:56 - mmengine - INFO - Epoch(val) [15][1800/2475] eta: 0:01:00 time: 0.0894 data_time: 0.0705 memory: 564 2022/07/31 12:14:58 - mmengine - INFO - Epoch(val) [15][1820/2475] eta: 0:00:54 time: 0.0833 data_time: 0.0594 memory: 564 2022/07/31 12:15:00 - mmengine - INFO - Epoch(val) [15][1840/2475] eta: 0:00:53 time: 0.0846 data_time: 0.0579 memory: 564 2022/07/31 12:15:01 - mmengine - INFO - Epoch(val) [15][1860/2475] eta: 0:00:46 time: 0.0750 data_time: 0.0506 memory: 564 2022/07/31 12:15:04 - mmengine - INFO - Epoch(val) [15][1880/2475] eta: 0:01:05 time: 0.1103 data_time: 0.0896 memory: 564 2022/07/31 12:15:05 - mmengine - INFO - Epoch(val) [15][1900/2475] eta: 0:00:38 time: 0.0669 data_time: 0.0423 memory: 564 2022/07/31 12:15:06 - mmengine - INFO - Epoch(val) [15][1920/2475] eta: 0:00:37 time: 0.0673 data_time: 0.0474 memory: 564 2022/07/31 12:15:08 - mmengine - INFO - Epoch(val) [15][1940/2475] eta: 0:00:46 time: 0.0869 data_time: 0.0698 memory: 564 2022/07/31 12:15:09 - mmengine - INFO - Epoch(val) [15][1960/2475] eta: 0:00:36 time: 0.0707 data_time: 0.0524 memory: 564 2022/07/31 12:15:11 - mmengine - INFO - Epoch(val) [15][1980/2475] eta: 0:00:41 time: 0.0847 data_time: 0.0639 memory: 564 2022/07/31 12:15:13 - mmengine - INFO - Epoch(val) [15][2000/2475] eta: 0:00:36 time: 0.0761 data_time: 0.0550 memory: 564 2022/07/31 12:15:14 - mmengine - INFO - Epoch(val) [15][2020/2475] eta: 0:00:36 time: 0.0813 data_time: 0.0612 memory: 564 2022/07/31 12:15:16 - mmengine - INFO - Epoch(val) [15][2040/2475] eta: 0:00:30 time: 0.0708 data_time: 0.0522 memory: 564 2022/07/31 12:15:17 - mmengine - INFO - Epoch(val) [15][2060/2475] eta: 0:00:35 time: 0.0867 data_time: 0.0663 memory: 564 2022/07/31 12:15:19 - mmengine - INFO - Epoch(val) [15][2080/2475] eta: 0:00:29 time: 0.0744 data_time: 0.0500 memory: 564 2022/07/31 12:15:20 - mmengine - INFO - Epoch(val) [15][2100/2475] eta: 0:00:30 time: 0.0820 data_time: 0.0626 memory: 564 2022/07/31 12:15:22 - mmengine - INFO - Epoch(val) [15][2120/2475] eta: 0:00:25 time: 0.0730 data_time: 0.0544 memory: 564 2022/07/31 12:15:24 - mmengine - INFO - Epoch(val) [15][2140/2475] eta: 0:00:29 time: 0.0884 data_time: 0.0696 memory: 564 2022/07/31 12:15:25 - mmengine - INFO - Epoch(val) [15][2160/2475] eta: 0:00:21 time: 0.0683 data_time: 0.0495 memory: 564 2022/07/31 12:15:27 - mmengine - INFO - Epoch(val) [15][2180/2475] eta: 0:00:27 time: 0.0919 data_time: 0.0743 memory: 564 2022/07/31 12:15:29 - mmengine - INFO - Epoch(val) [15][2200/2475] eta: 0:00:24 time: 0.0906 data_time: 0.0719 memory: 564 2022/07/31 12:15:30 - mmengine - INFO - Epoch(val) [15][2220/2475] eta: 0:00:18 time: 0.0737 data_time: 0.0547 memory: 564 2022/07/31 12:15:32 - mmengine - INFO - Epoch(val) [15][2240/2475] eta: 0:00:21 time: 0.0910 data_time: 0.0709 memory: 564 2022/07/31 12:15:34 - mmengine - INFO - Epoch(val) [15][2260/2475] eta: 0:00:15 time: 0.0731 data_time: 0.0540 memory: 564 2022/07/31 12:15:35 - mmengine - INFO - Epoch(val) [15][2280/2475] eta: 0:00:15 time: 0.0800 data_time: 0.0618 memory: 564 2022/07/31 12:15:37 - mmengine - INFO - Epoch(val) [15][2300/2475] eta: 0:00:12 time: 0.0704 data_time: 0.0525 memory: 564 2022/07/31 12:15:38 - mmengine - INFO - Epoch(val) [15][2320/2475] eta: 0:00:14 time: 0.0909 data_time: 0.0709 memory: 564 2022/07/31 12:15:40 - mmengine - INFO - Epoch(val) [15][2340/2475] eta: 0:00:08 time: 0.0663 data_time: 0.0473 memory: 564 2022/07/31 12:15:42 - mmengine - INFO - Epoch(val) [15][2360/2475] eta: 0:00:11 time: 0.1043 data_time: 0.0835 memory: 564 2022/07/31 12:15:43 - mmengine - INFO - Epoch(val) [15][2380/2475] eta: 0:00:06 time: 0.0638 data_time: 0.0456 memory: 564 2022/07/31 12:15:45 - mmengine - INFO - Epoch(val) [15][2400/2475] eta: 0:00:06 time: 0.0888 data_time: 0.0717 memory: 564 2022/07/31 12:15:46 - mmengine - INFO - Epoch(val) [15][2420/2475] eta: 0:00:03 time: 0.0643 data_time: 0.0457 memory: 564 2022/07/31 12:15:48 - mmengine - INFO - Epoch(val) [15][2440/2475] eta: 0:00:03 time: 0.0986 data_time: 0.0787 memory: 564 2022/07/31 12:15:50 - mmengine - INFO - Epoch(val) [15][2460/2475] eta: 0:00:01 time: 0.0806 data_time: 0.0614 memory: 564 2022/07/31 12:15:52 - mmengine - INFO - Epoch(val) [15][2475/2475] acc/top1: 0.6572 acc/top5: 0.8605 acc/mean1: 0.6570 2022/07/31 12:15:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_10.pth is removed 2022/07/31 12:15:54 - mmengine - INFO - The best checkpoint with 0.6572 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/07/31 12:16:19 - mmengine - INFO - Epoch(train) [16][20/2505] lr: 5.0000e-04 eta: 1 day, 5:24:40 time: 1.2363 data_time: 0.8369 memory: 22238 grad_norm: 21.7073 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8814 loss: 1.8814 2022/07/31 12:16:36 - mmengine - INFO - Epoch(train) [16][40/2505] lr: 5.0000e-04 eta: 1 day, 5:24:13 time: 0.8548 data_time: 0.4692 memory: 22238 grad_norm: 22.3503 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6112 loss: 1.6112 2022/07/31 12:16:58 - mmengine - INFO - Epoch(train) [16][60/2505] lr: 5.0000e-04 eta: 1 day, 5:24:00 time: 1.0936 data_time: 0.6932 memory: 22238 grad_norm: 21.0879 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7596 loss: 1.7596 2022/07/31 12:17:15 - mmengine - INFO - Epoch(train) [16][80/2505] lr: 5.0000e-04 eta: 1 day, 5:23:34 time: 0.8872 data_time: 0.4023 memory: 22238 grad_norm: 21.6331 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8092 loss: 1.8092 2022/07/31 12:17:38 - mmengine - INFO - Epoch(train) [16][100/2505] lr: 5.0000e-04 eta: 1 day, 5:23:23 time: 1.1253 data_time: 0.5420 memory: 22238 grad_norm: 20.6550 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1378 loss: 2.1378 2022/07/31 12:17:55 - mmengine - INFO - Epoch(train) [16][120/2505] lr: 5.0000e-04 eta: 1 day, 5:22:57 time: 0.8739 data_time: 0.3003 memory: 22238 grad_norm: 21.8706 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6433 loss: 1.6433 2022/07/31 12:18:17 - mmengine - INFO - Epoch(train) [16][140/2505] lr: 5.0000e-04 eta: 1 day, 5:22:43 time: 1.0800 data_time: 0.3020 memory: 22238 grad_norm: 20.7836 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9085 loss: 1.9085 2022/07/31 12:18:36 - mmengine - INFO - Epoch(train) [16][160/2505] lr: 5.0000e-04 eta: 1 day, 5:22:20 time: 0.9285 data_time: 0.2590 memory: 22238 grad_norm: 22.6099 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9010 loss: 1.9010 2022/07/31 12:18:57 - mmengine - INFO - Epoch(train) [16][180/2505] lr: 5.0000e-04 eta: 1 day, 5:22:06 time: 1.0723 data_time: 0.3118 memory: 22238 grad_norm: 21.4500 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6996 loss: 1.6996 2022/07/31 12:19:15 - mmengine - INFO - Epoch(train) [16][200/2505] lr: 5.0000e-04 eta: 1 day, 5:21:41 time: 0.8976 data_time: 0.3312 memory: 22238 grad_norm: 20.8004 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.8405 loss: 1.8405 2022/07/31 12:19:36 - mmengine - INFO - Epoch(train) [16][220/2505] lr: 5.0000e-04 eta: 1 day, 5:21:26 time: 1.0605 data_time: 0.4923 memory: 22238 grad_norm: 21.8730 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9219 loss: 1.9219 2022/07/31 12:19:54 - mmengine - INFO - Epoch(train) [16][240/2505] lr: 5.0000e-04 eta: 1 day, 5:21:02 time: 0.9076 data_time: 0.4325 memory: 22238 grad_norm: 21.1872 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7576 loss: 1.7576 2022/07/31 12:20:16 - mmengine - INFO - Epoch(train) [16][260/2505] lr: 5.0000e-04 eta: 1 day, 5:20:48 time: 1.0892 data_time: 0.4045 memory: 22238 grad_norm: 22.2354 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.9803 loss: 1.9803 2022/07/31 12:20:34 - mmengine - INFO - Epoch(train) [16][280/2505] lr: 5.0000e-04 eta: 1 day, 5:20:24 time: 0.8982 data_time: 0.2631 memory: 22238 grad_norm: 20.9258 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9058 loss: 1.9058 2022/07/31 12:20:55 - mmengine - INFO - Epoch(train) [16][300/2505] lr: 5.0000e-04 eta: 1 day, 5:20:06 time: 1.0271 data_time: 0.3610 memory: 22238 grad_norm: 21.3092 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7552 loss: 1.7552 2022/07/31 12:21:13 - mmengine - INFO - Epoch(train) [16][320/2505] lr: 5.0000e-04 eta: 1 day, 5:19:44 time: 0.9357 data_time: 0.3894 memory: 22238 grad_norm: 21.3325 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.9564 loss: 1.9564 2022/07/31 12:21:34 - mmengine - INFO - Epoch(train) [16][340/2505] lr: 5.0000e-04 eta: 1 day, 5:19:26 time: 1.0162 data_time: 0.4921 memory: 22238 grad_norm: 21.5044 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6891 loss: 1.6891 2022/07/31 12:21:53 - mmengine - INFO - Epoch(train) [16][360/2505] lr: 5.0000e-04 eta: 1 day, 5:19:06 time: 0.9664 data_time: 0.4736 memory: 22238 grad_norm: 21.4149 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6304 loss: 1.6304 2022/07/31 12:22:14 - mmengine - INFO - Epoch(train) [16][380/2505] lr: 5.0000e-04 eta: 1 day, 5:18:49 time: 1.0299 data_time: 0.4218 memory: 22238 grad_norm: 21.9607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7000 loss: 1.7000 2022/07/31 12:22:32 - mmengine - INFO - Epoch(train) [16][400/2505] lr: 5.0000e-04 eta: 1 day, 5:18:25 time: 0.9153 data_time: 0.3955 memory: 22238 grad_norm: 22.1095 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7468 loss: 1.7468 2022/07/31 12:22:53 - mmengine - INFO - Epoch(train) [16][420/2505] lr: 5.0000e-04 eta: 1 day, 5:18:09 time: 1.0444 data_time: 0.3154 memory: 22238 grad_norm: 22.6130 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7285 loss: 1.7285 2022/07/31 12:22:58 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 12:23:11 - mmengine - INFO - Epoch(train) [16][440/2505] lr: 5.0000e-04 eta: 1 day, 5:17:45 time: 0.9033 data_time: 0.2611 memory: 22238 grad_norm: 20.7837 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.0421 loss: 2.0421 2022/07/31 12:23:32 - mmengine - INFO - Epoch(train) [16][460/2505] lr: 5.0000e-04 eta: 1 day, 5:17:30 time: 1.0746 data_time: 0.3478 memory: 22238 grad_norm: 21.4156 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0372 loss: 2.0372 2022/07/31 12:23:50 - mmengine - INFO - Epoch(train) [16][480/2505] lr: 5.0000e-04 eta: 1 day, 5:17:06 time: 0.8974 data_time: 0.2558 memory: 22238 grad_norm: 21.7816 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7537 loss: 1.7537 2022/07/31 12:24:11 - mmengine - INFO - Epoch(train) [16][500/2505] lr: 5.0000e-04 eta: 1 day, 5:16:50 time: 1.0473 data_time: 0.2162 memory: 22238 grad_norm: 21.1505 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7869 loss: 1.7869 2022/07/31 12:24:29 - mmengine - INFO - Epoch(train) [16][520/2505] lr: 5.0000e-04 eta: 1 day, 5:16:25 time: 0.8956 data_time: 0.1338 memory: 22238 grad_norm: 21.3132 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7870 loss: 1.7870 2022/07/31 12:24:50 - mmengine - INFO - Epoch(train) [16][540/2505] lr: 5.0000e-04 eta: 1 day, 5:16:09 time: 1.0399 data_time: 0.1133 memory: 22238 grad_norm: 21.8186 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0692 loss: 2.0692 2022/07/31 12:25:08 - mmengine - INFO - Epoch(train) [16][560/2505] lr: 5.0000e-04 eta: 1 day, 5:15:44 time: 0.8884 data_time: 0.0503 memory: 22238 grad_norm: 21.8853 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9821 loss: 1.9821 2022/07/31 12:25:29 - mmengine - INFO - Epoch(train) [16][580/2505] lr: 5.0000e-04 eta: 1 day, 5:15:30 time: 1.0856 data_time: 0.1260 memory: 22238 grad_norm: 21.0439 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.9660 loss: 1.9660 2022/07/31 12:25:48 - mmengine - INFO - Epoch(train) [16][600/2505] lr: 5.0000e-04 eta: 1 day, 5:15:07 time: 0.9227 data_time: 0.2457 memory: 22238 grad_norm: 21.6042 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7695 loss: 1.7695 2022/07/31 12:26:08 - mmengine - INFO - Epoch(train) [16][620/2505] lr: 5.0000e-04 eta: 1 day, 5:14:49 time: 1.0248 data_time: 0.1873 memory: 22238 grad_norm: 20.7795 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6703 loss: 1.6703 2022/07/31 12:26:28 - mmengine - INFO - Epoch(train) [16][640/2505] lr: 5.0000e-04 eta: 1 day, 5:14:29 time: 0.9659 data_time: 0.3590 memory: 22238 grad_norm: 20.0414 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8111 loss: 1.8111 2022/07/31 12:26:47 - mmengine - INFO - Epoch(train) [16][660/2505] lr: 5.0000e-04 eta: 1 day, 5:14:08 time: 0.9671 data_time: 0.2401 memory: 22238 grad_norm: 21.0610 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8565 loss: 1.8565 2022/07/31 12:27:07 - mmengine - INFO - Epoch(train) [16][680/2505] lr: 5.0000e-04 eta: 1 day, 5:13:49 time: 0.9822 data_time: 0.3429 memory: 22238 grad_norm: 20.7008 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0399 loss: 2.0399 2022/07/31 12:27:27 - mmengine - INFO - Epoch(train) [16][700/2505] lr: 5.0000e-04 eta: 1 day, 5:13:31 time: 1.0216 data_time: 0.3807 memory: 22238 grad_norm: 21.8571 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7304 loss: 1.7304 2022/07/31 12:27:45 - mmengine - INFO - Epoch(train) [16][720/2505] lr: 5.0000e-04 eta: 1 day, 5:13:06 time: 0.8935 data_time: 0.3313 memory: 22238 grad_norm: 20.9284 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.9967 loss: 1.9967 2022/07/31 12:28:06 - mmengine - INFO - Epoch(train) [16][740/2505] lr: 5.0000e-04 eta: 1 day, 5:12:51 time: 1.0638 data_time: 0.3143 memory: 22238 grad_norm: 21.7669 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6799 loss: 1.6799 2022/07/31 12:28:25 - mmengine - INFO - Epoch(train) [16][760/2505] lr: 5.0000e-04 eta: 1 day, 5:12:29 time: 0.9346 data_time: 0.3370 memory: 22238 grad_norm: 22.2441 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8242 loss: 1.8242 2022/07/31 12:28:45 - mmengine - INFO - Epoch(train) [16][780/2505] lr: 5.0000e-04 eta: 1 day, 5:12:10 time: 1.0065 data_time: 0.4731 memory: 22238 grad_norm: 21.0530 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.8162 loss: 1.8162 2022/07/31 12:29:04 - mmengine - INFO - Epoch(train) [16][800/2505] lr: 5.0000e-04 eta: 1 day, 5:11:48 time: 0.9287 data_time: 0.5063 memory: 22238 grad_norm: 21.0778 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8286 loss: 1.8286 2022/07/31 12:29:25 - mmengine - INFO - Epoch(train) [16][820/2505] lr: 5.0000e-04 eta: 1 day, 5:11:33 time: 1.0758 data_time: 0.5953 memory: 22238 grad_norm: 20.9305 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4720 loss: 1.4720 2022/07/31 12:29:43 - mmengine - INFO - Epoch(train) [16][840/2505] lr: 5.0000e-04 eta: 1 day, 5:11:08 time: 0.8878 data_time: 0.4694 memory: 22238 grad_norm: 20.9592 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 2.0643 loss: 2.0643 2022/07/31 12:30:05 - mmengine - INFO - Epoch(train) [16][860/2505] lr: 5.0000e-04 eta: 1 day, 5:10:54 time: 1.0784 data_time: 0.6815 memory: 22238 grad_norm: 21.7540 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8700 loss: 1.8700 2022/07/31 12:30:22 - mmengine - INFO - Epoch(train) [16][880/2505] lr: 5.0000e-04 eta: 1 day, 5:10:28 time: 0.8734 data_time: 0.4705 memory: 22238 grad_norm: 21.4099 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.6903 loss: 1.6903 2022/07/31 12:30:45 - mmengine - INFO - Epoch(train) [16][900/2505] lr: 5.0000e-04 eta: 1 day, 5:10:17 time: 1.1421 data_time: 0.7408 memory: 22238 grad_norm: 21.5664 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.6076 loss: 1.6076 2022/07/31 12:31:03 - mmengine - INFO - Epoch(train) [16][920/2505] lr: 5.0000e-04 eta: 1 day, 5:09:52 time: 0.8785 data_time: 0.4743 memory: 22238 grad_norm: 20.8487 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7991 loss: 1.7991 2022/07/31 12:31:25 - mmengine - INFO - Epoch(train) [16][940/2505] lr: 5.0000e-04 eta: 1 day, 5:09:39 time: 1.1061 data_time: 0.7019 memory: 22238 grad_norm: 21.3674 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7463 loss: 1.7463 2022/07/31 12:31:42 - mmengine - INFO - Epoch(train) [16][960/2505] lr: 5.0000e-04 eta: 1 day, 5:09:12 time: 0.8494 data_time: 0.4292 memory: 22238 grad_norm: 21.2360 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7518 loss: 1.7518 2022/07/31 12:32:03 - mmengine - INFO - Epoch(train) [16][980/2505] lr: 5.0000e-04 eta: 1 day, 5:08:58 time: 1.0847 data_time: 0.6660 memory: 22238 grad_norm: 21.5617 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7471 loss: 1.7471 2022/07/31 12:32:21 - mmengine - INFO - Epoch(train) [16][1000/2505] lr: 5.0000e-04 eta: 1 day, 5:08:32 time: 0.8779 data_time: 0.4735 memory: 22238 grad_norm: 21.8120 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9005 loss: 1.9005 2022/07/31 12:32:42 - mmengine - INFO - Epoch(train) [16][1020/2505] lr: 5.0000e-04 eta: 1 day, 5:08:18 time: 1.0715 data_time: 0.6661 memory: 22238 grad_norm: 22.0028 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5588 loss: 1.5588 2022/07/31 12:32:59 - mmengine - INFO - Epoch(train) [16][1040/2505] lr: 5.0000e-04 eta: 1 day, 5:07:50 time: 0.8400 data_time: 0.4470 memory: 22238 grad_norm: 21.8065 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9366 loss: 1.9366 2022/07/31 12:33:21 - mmengine - INFO - Epoch(train) [16][1060/2505] lr: 5.0000e-04 eta: 1 day, 5:07:36 time: 1.0921 data_time: 0.6762 memory: 22238 grad_norm: 21.3135 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8477 loss: 1.8477 2022/07/31 12:33:38 - mmengine - INFO - Epoch(train) [16][1080/2505] lr: 5.0000e-04 eta: 1 day, 5:07:10 time: 0.8547 data_time: 0.4592 memory: 22238 grad_norm: 21.5327 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8722 loss: 1.8722 2022/07/31 12:34:00 - mmengine - INFO - Epoch(train) [16][1100/2505] lr: 5.0000e-04 eta: 1 day, 5:06:56 time: 1.0914 data_time: 0.6830 memory: 22238 grad_norm: 21.2159 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7163 loss: 1.7163 2022/07/31 12:34:17 - mmengine - INFO - Epoch(train) [16][1120/2505] lr: 5.0000e-04 eta: 1 day, 5:06:29 time: 0.8467 data_time: 0.4554 memory: 22238 grad_norm: 20.8698 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7767 loss: 1.7767 2022/07/31 12:34:38 - mmengine - INFO - Epoch(train) [16][1140/2505] lr: 5.0000e-04 eta: 1 day, 5:06:14 time: 1.0793 data_time: 0.6688 memory: 22238 grad_norm: 22.2768 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.8186 loss: 1.8186 2022/07/31 12:34:56 - mmengine - INFO - Epoch(train) [16][1160/2505] lr: 5.0000e-04 eta: 1 day, 5:05:50 time: 0.9031 data_time: 0.4958 memory: 22238 grad_norm: 21.3770 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7489 loss: 1.7489 2022/07/31 12:35:19 - mmengine - INFO - Epoch(train) [16][1180/2505] lr: 5.0000e-04 eta: 1 day, 5:05:40 time: 1.1508 data_time: 0.7449 memory: 22238 grad_norm: 21.0614 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8938 loss: 1.8938 2022/07/31 12:35:37 - mmengine - INFO - Epoch(train) [16][1200/2505] lr: 5.0000e-04 eta: 1 day, 5:05:15 time: 0.8820 data_time: 0.4763 memory: 22238 grad_norm: 21.7259 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8555 loss: 1.8555 2022/07/31 12:35:58 - mmengine - INFO - Epoch(train) [16][1220/2505] lr: 5.0000e-04 eta: 1 day, 5:05:00 time: 1.0633 data_time: 0.6594 memory: 22238 grad_norm: 22.2300 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9371 loss: 1.9371 2022/07/31 12:36:15 - mmengine - INFO - Epoch(train) [16][1240/2505] lr: 5.0000e-04 eta: 1 day, 5:04:33 time: 0.8534 data_time: 0.4474 memory: 22238 grad_norm: 20.9462 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0072 loss: 2.0072 2022/07/31 12:36:37 - mmengine - INFO - Epoch(train) [16][1260/2505] lr: 5.0000e-04 eta: 1 day, 5:04:18 time: 1.0688 data_time: 0.6663 memory: 22238 grad_norm: 20.7373 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9559 loss: 1.9559 2022/07/31 12:36:54 - mmengine - INFO - Epoch(train) [16][1280/2505] lr: 5.0000e-04 eta: 1 day, 5:03:52 time: 0.8644 data_time: 0.4550 memory: 22238 grad_norm: 20.2528 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8002 loss: 1.8002 2022/07/31 12:37:16 - mmengine - INFO - Epoch(train) [16][1300/2505] lr: 5.0000e-04 eta: 1 day, 5:03:39 time: 1.1083 data_time: 0.7084 memory: 22238 grad_norm: 21.4465 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6973 loss: 1.6973 2022/07/31 12:37:34 - mmengine - INFO - Epoch(train) [16][1320/2505] lr: 5.0000e-04 eta: 1 day, 5:03:13 time: 0.8628 data_time: 0.4565 memory: 22238 grad_norm: 20.5759 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7258 loss: 1.7258 2022/07/31 12:37:56 - mmengine - INFO - Epoch(train) [16][1340/2505] lr: 5.0000e-04 eta: 1 day, 5:03:00 time: 1.1073 data_time: 0.7026 memory: 22238 grad_norm: 20.7415 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7681 loss: 1.7681 2022/07/31 12:38:13 - mmengine - INFO - Epoch(train) [16][1360/2505] lr: 5.0000e-04 eta: 1 day, 5:02:32 time: 0.8431 data_time: 0.4384 memory: 22238 grad_norm: 20.4029 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.9608 loss: 1.9608 2022/07/31 12:38:34 - mmengine - INFO - Epoch(train) [16][1380/2505] lr: 5.0000e-04 eta: 1 day, 5:02:19 time: 1.0944 data_time: 0.6841 memory: 22238 grad_norm: 21.7958 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6231 loss: 1.6231 2022/07/31 12:38:52 - mmengine - INFO - Epoch(train) [16][1400/2505] lr: 5.0000e-04 eta: 1 day, 5:01:52 time: 0.8600 data_time: 0.4471 memory: 22238 grad_norm: 21.2969 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7890 loss: 1.7890 2022/07/31 12:39:13 - mmengine - INFO - Epoch(train) [16][1420/2505] lr: 5.0000e-04 eta: 1 day, 5:01:38 time: 1.0737 data_time: 0.6525 memory: 22238 grad_norm: 21.0599 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9430 loss: 1.9430 2022/07/31 12:39:15 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 12:39:31 - mmengine - INFO - Epoch(train) [16][1440/2505] lr: 5.0000e-04 eta: 1 day, 5:01:13 time: 0.8877 data_time: 0.4893 memory: 22238 grad_norm: 21.4572 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7430 loss: 1.7430 2022/07/31 12:39:52 - mmengine - INFO - Epoch(train) [16][1460/2505] lr: 5.0000e-04 eta: 1 day, 5:00:58 time: 1.0802 data_time: 0.6805 memory: 22238 grad_norm: 21.2333 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8401 loss: 1.8401 2022/07/31 12:40:10 - mmengine - INFO - Epoch(train) [16][1480/2505] lr: 5.0000e-04 eta: 1 day, 5:00:34 time: 0.8953 data_time: 0.5038 memory: 22238 grad_norm: 21.0353 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8744 loss: 1.8744 2022/07/31 12:40:32 - mmengine - INFO - Epoch(train) [16][1500/2505] lr: 5.0000e-04 eta: 1 day, 5:00:21 time: 1.0968 data_time: 0.6990 memory: 22238 grad_norm: 21.5331 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7334 loss: 1.7334 2022/07/31 12:40:50 - mmengine - INFO - Epoch(train) [16][1520/2505] lr: 5.0000e-04 eta: 1 day, 4:59:55 time: 0.8668 data_time: 0.4731 memory: 22238 grad_norm: 21.1628 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8097 loss: 1.8097 2022/07/31 12:41:12 - mmengine - INFO - Epoch(train) [16][1540/2505] lr: 5.0000e-04 eta: 1 day, 4:59:42 time: 1.1069 data_time: 0.6777 memory: 22238 grad_norm: 21.0184 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8960 loss: 1.8960 2022/07/31 12:41:30 - mmengine - INFO - Epoch(train) [16][1560/2505] lr: 5.0000e-04 eta: 1 day, 4:59:18 time: 0.9078 data_time: 0.5204 memory: 22238 grad_norm: 20.8758 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4213 loss: 1.4213 2022/07/31 12:41:51 - mmengine - INFO - Epoch(train) [16][1580/2505] lr: 5.0000e-04 eta: 1 day, 4:59:03 time: 1.0643 data_time: 0.6277 memory: 22238 grad_norm: 21.0998 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0436 loss: 2.0436 2022/07/31 12:42:10 - mmengine - INFO - Epoch(train) [16][1600/2505] lr: 5.0000e-04 eta: 1 day, 4:58:41 time: 0.9401 data_time: 0.5438 memory: 22238 grad_norm: 21.5486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9457 loss: 1.9457 2022/07/31 12:42:30 - mmengine - INFO - Epoch(train) [16][1620/2505] lr: 5.0000e-04 eta: 1 day, 4:58:21 time: 0.9789 data_time: 0.5653 memory: 22238 grad_norm: 21.1978 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9048 loss: 1.9048 2022/07/31 12:42:49 - mmengine - INFO - Epoch(train) [16][1640/2505] lr: 5.0000e-04 eta: 1 day, 4:57:59 time: 0.9461 data_time: 0.5615 memory: 22238 grad_norm: 20.4358 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7340 loss: 1.7340 2022/07/31 12:43:09 - mmengine - INFO - Epoch(train) [16][1660/2505] lr: 5.0000e-04 eta: 1 day, 4:57:41 time: 1.0044 data_time: 0.6061 memory: 22238 grad_norm: 21.3478 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7182 loss: 1.7182 2022/07/31 12:43:28 - mmengine - INFO - Epoch(train) [16][1680/2505] lr: 5.0000e-04 eta: 1 day, 4:57:20 time: 0.9631 data_time: 0.5532 memory: 22238 grad_norm: 22.0898 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8932 loss: 1.8932 2022/07/31 12:43:48 - mmengine - INFO - Epoch(train) [16][1700/2505] lr: 5.0000e-04 eta: 1 day, 4:57:02 time: 1.0179 data_time: 0.5216 memory: 22238 grad_norm: 20.2422 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7623 loss: 1.7623 2022/07/31 12:44:08 - mmengine - INFO - Epoch(train) [16][1720/2505] lr: 5.0000e-04 eta: 1 day, 4:56:41 time: 0.9578 data_time: 0.4398 memory: 22238 grad_norm: 20.7193 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7960 loss: 1.7960 2022/07/31 12:44:28 - mmengine - INFO - Epoch(train) [16][1740/2505] lr: 5.0000e-04 eta: 1 day, 4:56:23 time: 1.0190 data_time: 0.3830 memory: 22238 grad_norm: 22.2605 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9683 loss: 1.9683 2022/07/31 12:44:47 - mmengine - INFO - Epoch(train) [16][1760/2505] lr: 5.0000e-04 eta: 1 day, 4:56:03 time: 0.9783 data_time: 0.4729 memory: 22238 grad_norm: 20.9751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8386 loss: 1.8386 2022/07/31 12:45:08 - mmengine - INFO - Epoch(train) [16][1780/2505] lr: 5.0000e-04 eta: 1 day, 4:55:46 time: 1.0178 data_time: 0.5522 memory: 22238 grad_norm: 20.7434 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6980 loss: 1.6980 2022/07/31 12:45:26 - mmengine - INFO - Epoch(train) [16][1800/2505] lr: 5.0000e-04 eta: 1 day, 4:55:22 time: 0.9150 data_time: 0.4711 memory: 22238 grad_norm: 21.5545 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7177 loss: 1.7177 2022/07/31 12:45:46 - mmengine - INFO - Epoch(train) [16][1820/2505] lr: 5.0000e-04 eta: 1 day, 4:55:03 time: 0.9894 data_time: 0.5712 memory: 22238 grad_norm: 20.6050 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7047 loss: 1.7047 2022/07/31 12:46:05 - mmengine - INFO - Epoch(train) [16][1840/2505] lr: 5.0000e-04 eta: 1 day, 4:54:41 time: 0.9345 data_time: 0.5209 memory: 22238 grad_norm: 21.2918 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9922 loss: 1.9922 2022/07/31 12:46:26 - mmengine - INFO - Epoch(train) [16][1860/2505] lr: 5.0000e-04 eta: 1 day, 4:54:24 time: 1.0442 data_time: 0.5740 memory: 22238 grad_norm: 21.3772 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0209 loss: 2.0209 2022/07/31 12:46:45 - mmengine - INFO - Epoch(train) [16][1880/2505] lr: 5.0000e-04 eta: 1 day, 4:54:04 time: 0.9790 data_time: 0.4731 memory: 22238 grad_norm: 21.5164 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5462 loss: 1.5462 2022/07/31 12:47:04 - mmengine - INFO - Epoch(train) [16][1900/2505] lr: 5.0000e-04 eta: 1 day, 4:53:42 time: 0.9325 data_time: 0.4123 memory: 22238 grad_norm: 21.6332 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7301 loss: 1.7301 2022/07/31 12:47:25 - mmengine - INFO - Epoch(train) [16][1920/2505] lr: 5.0000e-04 eta: 1 day, 4:53:26 time: 1.0451 data_time: 0.5162 memory: 22238 grad_norm: 20.8801 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7553 loss: 1.7553 2022/07/31 12:47:43 - mmengine - INFO - Epoch(train) [16][1940/2505] lr: 5.0000e-04 eta: 1 day, 4:53:01 time: 0.8939 data_time: 0.3772 memory: 22238 grad_norm: 21.6943 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7908 loss: 1.7908 2022/07/31 12:48:03 - mmengine - INFO - Epoch(train) [16][1960/2505] lr: 5.0000e-04 eta: 1 day, 4:52:43 time: 1.0007 data_time: 0.5884 memory: 22238 grad_norm: 20.8769 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2954 loss: 2.2954 2022/07/31 12:48:21 - mmengine - INFO - Epoch(train) [16][1980/2505] lr: 5.0000e-04 eta: 1 day, 4:52:21 time: 0.9435 data_time: 0.4661 memory: 22238 grad_norm: 21.3249 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5188 loss: 1.5188 2022/07/31 12:48:42 - mmengine - INFO - Epoch(train) [16][2000/2505] lr: 5.0000e-04 eta: 1 day, 4:52:04 time: 1.0400 data_time: 0.5835 memory: 22238 grad_norm: 20.4318 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6646 loss: 1.6646 2022/07/31 12:49:00 - mmengine - INFO - Epoch(train) [16][2020/2505] lr: 5.0000e-04 eta: 1 day, 4:51:40 time: 0.8921 data_time: 0.4569 memory: 22238 grad_norm: 20.9349 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0536 loss: 2.0536 2022/07/31 12:49:22 - mmengine - INFO - Epoch(train) [16][2040/2505] lr: 5.0000e-04 eta: 1 day, 4:51:25 time: 1.0797 data_time: 0.6639 memory: 22238 grad_norm: 19.8160 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7361 loss: 1.7361 2022/07/31 12:49:40 - mmengine - INFO - Epoch(train) [16][2060/2505] lr: 5.0000e-04 eta: 1 day, 4:51:02 time: 0.9265 data_time: 0.4400 memory: 22238 grad_norm: 20.9795 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.0601 loss: 2.0601 2022/07/31 12:50:00 - mmengine - INFO - Epoch(train) [16][2080/2505] lr: 5.0000e-04 eta: 1 day, 4:50:43 time: 0.9923 data_time: 0.4310 memory: 22238 grad_norm: 20.3712 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7763 loss: 1.7763 2022/07/31 12:50:20 - mmengine - INFO - Epoch(train) [16][2100/2505] lr: 5.0000e-04 eta: 1 day, 4:50:24 time: 0.9819 data_time: 0.3317 memory: 22238 grad_norm: 20.8002 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.9301 loss: 1.9301 2022/07/31 12:50:40 - mmengine - INFO - Epoch(train) [16][2120/2505] lr: 5.0000e-04 eta: 1 day, 4:50:05 time: 1.0015 data_time: 0.4809 memory: 22238 grad_norm: 21.7590 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8150 loss: 1.8150 2022/07/31 12:50:59 - mmengine - INFO - Epoch(train) [16][2140/2505] lr: 5.0000e-04 eta: 1 day, 4:49:44 time: 0.9689 data_time: 0.2906 memory: 22238 grad_norm: 20.4035 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5345 loss: 1.5345 2022/07/31 12:51:19 - mmengine - INFO - Epoch(train) [16][2160/2505] lr: 5.0000e-04 eta: 1 day, 4:49:27 time: 1.0157 data_time: 0.4267 memory: 22238 grad_norm: 21.5302 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9784 loss: 1.9784 2022/07/31 12:51:38 - mmengine - INFO - Epoch(train) [16][2180/2505] lr: 5.0000e-04 eta: 1 day, 4:49:05 time: 0.9410 data_time: 0.2724 memory: 22238 grad_norm: 21.0495 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0028 loss: 2.0028 2022/07/31 12:51:59 - mmengine - INFO - Epoch(train) [16][2200/2505] lr: 5.0000e-04 eta: 1 day, 4:48:49 time: 1.0531 data_time: 0.2955 memory: 22238 grad_norm: 20.4314 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2255 loss: 2.2255 2022/07/31 12:52:16 - mmengine - INFO - Epoch(train) [16][2220/2505] lr: 5.0000e-04 eta: 1 day, 4:48:23 time: 0.8600 data_time: 0.3339 memory: 22238 grad_norm: 21.1618 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7706 loss: 1.7706 2022/07/31 12:52:38 - mmengine - INFO - Epoch(train) [16][2240/2505] lr: 5.0000e-04 eta: 1 day, 4:48:08 time: 1.0784 data_time: 0.5792 memory: 22238 grad_norm: 20.5135 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7939 loss: 1.7939 2022/07/31 12:52:56 - mmengine - INFO - Epoch(train) [16][2260/2505] lr: 5.0000e-04 eta: 1 day, 4:47:44 time: 0.9006 data_time: 0.4408 memory: 22238 grad_norm: 20.9379 top1_acc: 0.0833 top5_acc: 0.5833 loss_cls: 1.7953 loss: 1.7953 2022/07/31 12:53:17 - mmengine - INFO - Epoch(train) [16][2280/2505] lr: 5.0000e-04 eta: 1 day, 4:47:27 time: 1.0296 data_time: 0.4394 memory: 22238 grad_norm: 20.6655 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7799 loss: 1.7799 2022/07/31 12:53:36 - mmengine - INFO - Epoch(train) [16][2300/2505] lr: 5.0000e-04 eta: 1 day, 4:47:07 time: 0.9862 data_time: 0.3293 memory: 22238 grad_norm: 20.8621 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9467 loss: 1.9467 2022/07/31 12:53:56 - mmengine - INFO - Epoch(train) [16][2320/2505] lr: 5.0000e-04 eta: 1 day, 4:46:47 time: 0.9670 data_time: 0.3173 memory: 22238 grad_norm: 20.0704 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9870 loss: 1.9870 2022/07/31 12:54:16 - mmengine - INFO - Epoch(train) [16][2340/2505] lr: 5.0000e-04 eta: 1 day, 4:46:29 time: 1.0137 data_time: 0.3478 memory: 22238 grad_norm: 21.2757 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0856 loss: 2.0856 2022/07/31 12:54:36 - mmengine - INFO - Epoch(train) [16][2360/2505] lr: 5.0000e-04 eta: 1 day, 4:46:09 time: 0.9852 data_time: 0.2743 memory: 22238 grad_norm: 21.4437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7616 loss: 1.7616 2022/07/31 12:54:56 - mmengine - INFO - Epoch(train) [16][2380/2505] lr: 5.0000e-04 eta: 1 day, 4:45:50 time: 0.9954 data_time: 0.3266 memory: 22238 grad_norm: 20.6018 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6849 loss: 1.6849 2022/07/31 12:55:16 - mmengine - INFO - Epoch(train) [16][2400/2505] lr: 5.0000e-04 eta: 1 day, 4:45:31 time: 0.9964 data_time: 0.3793 memory: 22238 grad_norm: 21.4538 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7642 loss: 1.7642 2022/07/31 12:55:36 - mmengine - INFO - Epoch(train) [16][2420/2505] lr: 5.0000e-04 eta: 1 day, 4:45:13 time: 1.0094 data_time: 0.5209 memory: 22238 grad_norm: 20.4139 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8840 loss: 1.8840 2022/07/31 12:55:40 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 12:55:55 - mmengine - INFO - Epoch(train) [16][2440/2505] lr: 5.0000e-04 eta: 1 day, 4:44:53 time: 0.9838 data_time: 0.5050 memory: 22238 grad_norm: 21.1271 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8469 loss: 1.8469 2022/07/31 12:56:15 - mmengine - INFO - Epoch(train) [16][2460/2505] lr: 5.0000e-04 eta: 1 day, 4:44:33 time: 0.9816 data_time: 0.5242 memory: 22238 grad_norm: 21.2827 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6772 loss: 1.6772 2022/07/31 12:56:34 - mmengine - INFO - Epoch(train) [16][2480/2505] lr: 5.0000e-04 eta: 1 day, 4:44:11 time: 0.9340 data_time: 0.4869 memory: 22238 grad_norm: 21.2138 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7705 loss: 1.7705 2022/07/31 12:56:50 - mmengine - INFO - Epoch(train) [16][2500/2505] lr: 5.0000e-04 eta: 1 day, 4:43:43 time: 0.8229 data_time: 0.3324 memory: 22238 grad_norm: 20.5404 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9183 loss: 1.9183 2022/07/31 12:56:52 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 12:56:52 - mmengine - INFO - Epoch(train) [16][2505/2505] lr: 5.0000e-04 eta: 1 day, 4:43:43 time: 0.6177 data_time: 0.1511 memory: 22238 grad_norm: 20.7813 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.9157 loss: 1.9157 2022/07/31 12:56:52 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/07/31 12:57:21 - mmengine - INFO - Epoch(train) [17][20/2505] lr: 5.0000e-04 eta: 1 day, 4:43:22 time: 1.2935 data_time: 0.8841 memory: 22238 grad_norm: 20.5445 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.6983 loss: 1.6983 2022/07/31 12:57:39 - mmengine - INFO - Epoch(train) [17][40/2505] lr: 5.0000e-04 eta: 1 day, 4:42:57 time: 0.8881 data_time: 0.4942 memory: 22238 grad_norm: 20.3885 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7817 loss: 1.7817 2022/07/31 12:58:01 - mmengine - INFO - Epoch(train) [17][60/2505] lr: 5.0000e-04 eta: 1 day, 4:42:44 time: 1.1104 data_time: 0.7149 memory: 22238 grad_norm: 21.6882 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8861 loss: 1.8861 2022/07/31 12:58:18 - mmengine - INFO - Epoch(train) [17][80/2505] lr: 5.0000e-04 eta: 1 day, 4:42:18 time: 0.8476 data_time: 0.4365 memory: 22238 grad_norm: 20.3619 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9320 loss: 1.9320 2022/07/31 12:58:40 - mmengine - INFO - Epoch(train) [17][100/2505] lr: 5.0000e-04 eta: 1 day, 4:42:02 time: 1.0644 data_time: 0.6526 memory: 22238 grad_norm: 20.9021 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6963 loss: 1.6963 2022/07/31 12:58:58 - mmengine - INFO - Epoch(train) [17][120/2505] lr: 5.0000e-04 eta: 1 day, 4:41:39 time: 0.9141 data_time: 0.5086 memory: 22238 grad_norm: 20.9885 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7948 loss: 1.7948 2022/07/31 12:59:20 - mmengine - INFO - Epoch(train) [17][140/2505] lr: 5.0000e-04 eta: 1 day, 4:41:26 time: 1.1107 data_time: 0.7185 memory: 22238 grad_norm: 21.2821 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8717 loss: 1.8717 2022/07/31 12:59:37 - mmengine - INFO - Epoch(train) [17][160/2505] lr: 5.0000e-04 eta: 1 day, 4:40:59 time: 0.8496 data_time: 0.4434 memory: 22238 grad_norm: 20.3414 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8338 loss: 1.8338 2022/07/31 12:59:59 - mmengine - INFO - Epoch(train) [17][180/2505] lr: 5.0000e-04 eta: 1 day, 4:40:46 time: 1.1004 data_time: 0.7020 memory: 22238 grad_norm: 21.4384 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8562 loss: 1.8562 2022/07/31 13:00:17 - mmengine - INFO - Epoch(train) [17][200/2505] lr: 5.0000e-04 eta: 1 day, 4:40:21 time: 0.8818 data_time: 0.4728 memory: 22238 grad_norm: 21.4837 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8008 loss: 1.8008 2022/07/31 13:00:39 - mmengine - INFO - Epoch(train) [17][220/2505] lr: 5.0000e-04 eta: 1 day, 4:40:07 time: 1.1001 data_time: 0.7200 memory: 22238 grad_norm: 21.6387 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7763 loss: 1.7763 2022/07/31 13:00:56 - mmengine - INFO - Epoch(train) [17][240/2505] lr: 5.0000e-04 eta: 1 day, 4:39:41 time: 0.8528 data_time: 0.4537 memory: 22238 grad_norm: 21.0982 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7807 loss: 1.7807 2022/07/31 13:01:18 - mmengine - INFO - Epoch(train) [17][260/2505] lr: 5.0000e-04 eta: 1 day, 4:39:28 time: 1.1152 data_time: 0.7316 memory: 22238 grad_norm: 22.5347 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6284 loss: 1.6284 2022/07/31 13:01:35 - mmengine - INFO - Epoch(train) [17][280/2505] lr: 5.0000e-04 eta: 1 day, 4:39:01 time: 0.8448 data_time: 0.4502 memory: 22238 grad_norm: 21.6236 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8278 loss: 1.8278 2022/07/31 13:01:56 - mmengine - INFO - Epoch(train) [17][300/2505] lr: 5.0000e-04 eta: 1 day, 4:38:45 time: 1.0456 data_time: 0.6486 memory: 22238 grad_norm: 21.0429 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7365 loss: 1.7365 2022/07/31 13:02:14 - mmengine - INFO - Epoch(train) [17][320/2505] lr: 5.0000e-04 eta: 1 day, 4:38:20 time: 0.8757 data_time: 0.4880 memory: 22238 grad_norm: 20.8634 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5783 loss: 1.5783 2022/07/31 13:02:36 - mmengine - INFO - Epoch(train) [17][340/2505] lr: 5.0000e-04 eta: 1 day, 4:38:06 time: 1.1040 data_time: 0.7145 memory: 22238 grad_norm: 21.2538 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9310 loss: 1.9310 2022/07/31 13:02:54 - mmengine - INFO - Epoch(train) [17][360/2505] lr: 5.0000e-04 eta: 1 day, 4:37:43 time: 0.9059 data_time: 0.5076 memory: 22238 grad_norm: 19.9583 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5124 loss: 1.5124 2022/07/31 13:03:16 - mmengine - INFO - Epoch(train) [17][380/2505] lr: 5.0000e-04 eta: 1 day, 4:37:28 time: 1.0902 data_time: 0.7005 memory: 22238 grad_norm: 21.2234 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 1.6123 loss: 1.6123 2022/07/31 13:03:33 - mmengine - INFO - Epoch(train) [17][400/2505] lr: 5.0000e-04 eta: 1 day, 4:37:04 time: 0.8831 data_time: 0.4866 memory: 22238 grad_norm: 21.5787 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8081 loss: 1.8081 2022/07/31 13:03:55 - mmengine - INFO - Epoch(train) [17][420/2505] lr: 5.0000e-04 eta: 1 day, 4:36:49 time: 1.0773 data_time: 0.5821 memory: 22238 grad_norm: 20.3651 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8076 loss: 1.8076 2022/07/31 13:04:12 - mmengine - INFO - Epoch(train) [17][440/2505] lr: 5.0000e-04 eta: 1 day, 4:36:22 time: 0.8472 data_time: 0.4067 memory: 22238 grad_norm: 20.7707 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8279 loss: 1.8279 2022/07/31 13:04:34 - mmengine - INFO - Epoch(train) [17][460/2505] lr: 5.0000e-04 eta: 1 day, 4:36:08 time: 1.0942 data_time: 0.5848 memory: 22238 grad_norm: 20.9706 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0361 loss: 2.0361 2022/07/31 13:04:50 - mmengine - INFO - Epoch(train) [17][480/2505] lr: 5.0000e-04 eta: 1 day, 4:35:41 time: 0.8343 data_time: 0.4062 memory: 22238 grad_norm: 21.4356 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8473 loss: 1.8473 2022/07/31 13:05:13 - mmengine - INFO - Epoch(train) [17][500/2505] lr: 5.0000e-04 eta: 1 day, 4:35:30 time: 1.1588 data_time: 0.7461 memory: 22238 grad_norm: 20.0897 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5857 loss: 1.5857 2022/07/31 13:05:31 - mmengine - INFO - Epoch(train) [17][520/2505] lr: 5.0000e-04 eta: 1 day, 4:35:06 time: 0.8867 data_time: 0.4994 memory: 22238 grad_norm: 21.7015 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7594 loss: 1.7594 2022/07/31 13:05:53 - mmengine - INFO - Epoch(train) [17][540/2505] lr: 5.0000e-04 eta: 1 day, 4:34:53 time: 1.1119 data_time: 0.7046 memory: 22238 grad_norm: 20.8007 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7183 loss: 1.7183 2022/07/31 13:06:10 - mmengine - INFO - Epoch(train) [17][560/2505] lr: 5.0000e-04 eta: 1 day, 4:34:25 time: 0.8213 data_time: 0.4324 memory: 22238 grad_norm: 20.8975 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6277 loss: 1.6277 2022/07/31 13:06:32 - mmengine - INFO - Epoch(train) [17][580/2505] lr: 5.0000e-04 eta: 1 day, 4:34:12 time: 1.1155 data_time: 0.7235 memory: 22238 grad_norm: 21.1041 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7811 loss: 1.7811 2022/07/31 13:06:49 - mmengine - INFO - Epoch(train) [17][600/2505] lr: 5.0000e-04 eta: 1 day, 4:33:46 time: 0.8630 data_time: 0.4726 memory: 22238 grad_norm: 19.9799 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7839 loss: 1.7839 2022/07/31 13:07:11 - mmengine - INFO - Epoch(train) [17][620/2505] lr: 5.0000e-04 eta: 1 day, 4:33:31 time: 1.0761 data_time: 0.6305 memory: 22238 grad_norm: 20.8532 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7240 loss: 1.7240 2022/07/31 13:07:28 - mmengine - INFO - Epoch(train) [17][640/2505] lr: 5.0000e-04 eta: 1 day, 4:33:06 time: 0.8759 data_time: 0.4229 memory: 22238 grad_norm: 20.8437 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8129 loss: 1.8129 2022/07/31 13:07:51 - mmengine - INFO - Epoch(train) [17][660/2505] lr: 5.0000e-04 eta: 1 day, 4:32:52 time: 1.1019 data_time: 0.4127 memory: 22238 grad_norm: 20.6446 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7404 loss: 1.7404 2022/07/31 13:08:08 - mmengine - INFO - Epoch(train) [17][680/2505] lr: 5.0000e-04 eta: 1 day, 4:32:27 time: 0.8629 data_time: 0.2911 memory: 22238 grad_norm: 21.6913 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7576 loss: 1.7576 2022/07/31 13:08:30 - mmengine - INFO - Epoch(train) [17][700/2505] lr: 5.0000e-04 eta: 1 day, 4:32:12 time: 1.0859 data_time: 0.3717 memory: 22238 grad_norm: 20.7620 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8105 loss: 1.8105 2022/07/31 13:08:47 - mmengine - INFO - Epoch(train) [17][720/2505] lr: 5.0000e-04 eta: 1 day, 4:31:47 time: 0.8745 data_time: 0.2055 memory: 22238 grad_norm: 20.4629 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.7470 loss: 1.7470 2022/07/31 13:09:09 - mmengine - INFO - Epoch(train) [17][740/2505] lr: 5.0000e-04 eta: 1 day, 4:31:33 time: 1.0837 data_time: 0.3083 memory: 22238 grad_norm: 20.7281 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7667 loss: 1.7667 2022/07/31 13:09:26 - mmengine - INFO - Epoch(train) [17][760/2505] lr: 5.0000e-04 eta: 1 day, 4:31:06 time: 0.8491 data_time: 0.1626 memory: 22238 grad_norm: 20.6428 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.7852 loss: 1.7852 2022/07/31 13:09:48 - mmengine - INFO - Epoch(train) [17][780/2505] lr: 5.0000e-04 eta: 1 day, 4:30:53 time: 1.1056 data_time: 0.3492 memory: 22238 grad_norm: 21.0161 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8877 loss: 1.8877 2022/07/31 13:10:06 - mmengine - INFO - Epoch(train) [17][800/2505] lr: 5.0000e-04 eta: 1 day, 4:30:30 time: 0.9324 data_time: 0.2814 memory: 22238 grad_norm: 20.6872 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0309 loss: 2.0309 2022/07/31 13:10:28 - mmengine - INFO - Epoch(train) [17][820/2505] lr: 5.0000e-04 eta: 1 day, 4:30:14 time: 1.0561 data_time: 0.4263 memory: 22238 grad_norm: 21.7599 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6934 loss: 1.6934 2022/07/31 13:10:45 - mmengine - INFO - Epoch(train) [17][840/2505] lr: 5.0000e-04 eta: 1 day, 4:29:50 time: 0.8910 data_time: 0.3352 memory: 22238 grad_norm: 21.5045 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8008 loss: 1.8008 2022/07/31 13:11:07 - mmengine - INFO - Epoch(train) [17][860/2505] lr: 5.0000e-04 eta: 1 day, 4:29:34 time: 1.0568 data_time: 0.3994 memory: 22238 grad_norm: 21.1744 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7365 loss: 1.7365 2022/07/31 13:11:24 - mmengine - INFO - Epoch(train) [17][880/2505] lr: 5.0000e-04 eta: 1 day, 4:29:08 time: 0.8625 data_time: 0.1952 memory: 22238 grad_norm: 21.3962 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8816 loss: 1.8816 2022/07/31 13:11:46 - mmengine - INFO - Epoch(train) [17][900/2505] lr: 5.0000e-04 eta: 1 day, 4:28:55 time: 1.0967 data_time: 0.1812 memory: 22238 grad_norm: 20.4806 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6996 loss: 1.6996 2022/07/31 13:12:03 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 13:12:03 - mmengine - INFO - Epoch(train) [17][920/2505] lr: 5.0000e-04 eta: 1 day, 4:28:29 time: 0.8744 data_time: 0.1226 memory: 22238 grad_norm: 21.0542 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7921 loss: 1.7921 2022/07/31 13:12:25 - mmengine - INFO - Epoch(train) [17][940/2505] lr: 5.0000e-04 eta: 1 day, 4:28:16 time: 1.1101 data_time: 0.1580 memory: 22238 grad_norm: 21.5015 top1_acc: 0.2500 top5_acc: 0.9167 loss_cls: 2.0667 loss: 2.0667 2022/07/31 13:12:43 - mmengine - INFO - Epoch(train) [17][960/2505] lr: 5.0000e-04 eta: 1 day, 4:27:50 time: 0.8626 data_time: 0.1283 memory: 22238 grad_norm: 21.1612 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7648 loss: 1.7648 2022/07/31 13:13:04 - mmengine - INFO - Epoch(train) [17][980/2505] lr: 5.0000e-04 eta: 1 day, 4:27:36 time: 1.0785 data_time: 0.1329 memory: 22238 grad_norm: 20.2712 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6142 loss: 1.6142 2022/07/31 13:13:22 - mmengine - INFO - Epoch(train) [17][1000/2505] lr: 5.0000e-04 eta: 1 day, 4:27:10 time: 0.8646 data_time: 0.1298 memory: 22238 grad_norm: 21.8467 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8985 loss: 1.8985 2022/07/31 13:13:43 - mmengine - INFO - Epoch(train) [17][1020/2505] lr: 5.0000e-04 eta: 1 day, 4:26:56 time: 1.0889 data_time: 0.1000 memory: 22238 grad_norm: 21.2641 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6519 loss: 1.6519 2022/07/31 13:14:00 - mmengine - INFO - Epoch(train) [17][1040/2505] lr: 5.0000e-04 eta: 1 day, 4:26:30 time: 0.8579 data_time: 0.1022 memory: 22238 grad_norm: 20.7914 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.8665 loss: 1.8665 2022/07/31 13:14:21 - mmengine - INFO - Epoch(train) [17][1060/2505] lr: 5.0000e-04 eta: 1 day, 4:26:13 time: 1.0487 data_time: 0.1178 memory: 22238 grad_norm: 19.8775 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.9489 loss: 1.9489 2022/07/31 13:14:39 - mmengine - INFO - Epoch(train) [17][1080/2505] lr: 5.0000e-04 eta: 1 day, 4:25:47 time: 0.8536 data_time: 0.0439 memory: 22238 grad_norm: 21.2315 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0228 loss: 2.0228 2022/07/31 13:15:01 - mmengine - INFO - Epoch(train) [17][1100/2505] lr: 5.0000e-04 eta: 1 day, 4:25:33 time: 1.0997 data_time: 0.0806 memory: 22238 grad_norm: 21.1141 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.0189 loss: 2.0189 2022/07/31 13:15:19 - mmengine - INFO - Epoch(train) [17][1120/2505] lr: 5.0000e-04 eta: 1 day, 4:25:10 time: 0.9025 data_time: 0.1326 memory: 22238 grad_norm: 21.7472 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6822 loss: 1.6822 2022/07/31 13:15:41 - mmengine - INFO - Epoch(train) [17][1140/2505] lr: 5.0000e-04 eta: 1 day, 4:24:56 time: 1.0985 data_time: 0.0871 memory: 22238 grad_norm: 21.3174 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 2.0403 loss: 2.0403 2022/07/31 13:15:58 - mmengine - INFO - Epoch(train) [17][1160/2505] lr: 5.0000e-04 eta: 1 day, 4:24:31 time: 0.8848 data_time: 0.0302 memory: 22238 grad_norm: 20.1769 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8109 loss: 1.8109 2022/07/31 13:16:19 - mmengine - INFO - Epoch(train) [17][1180/2505] lr: 5.0000e-04 eta: 1 day, 4:24:16 time: 1.0617 data_time: 0.0323 memory: 22238 grad_norm: 20.6836 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.6436 loss: 1.6436 2022/07/31 13:16:37 - mmengine - INFO - Epoch(train) [17][1200/2505] lr: 5.0000e-04 eta: 1 day, 4:23:51 time: 0.8808 data_time: 0.0298 memory: 22238 grad_norm: 20.6955 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7789 loss: 1.7789 2022/07/31 13:16:58 - mmengine - INFO - Epoch(train) [17][1220/2505] lr: 5.0000e-04 eta: 1 day, 4:23:35 time: 1.0678 data_time: 0.0486 memory: 22238 grad_norm: 21.4473 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8378 loss: 1.8378 2022/07/31 13:17:16 - mmengine - INFO - Epoch(train) [17][1240/2505] lr: 5.0000e-04 eta: 1 day, 4:23:11 time: 0.8813 data_time: 0.0394 memory: 22238 grad_norm: 20.6619 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8483 loss: 1.8483 2022/07/31 13:17:38 - mmengine - INFO - Epoch(train) [17][1260/2505] lr: 5.0000e-04 eta: 1 day, 4:22:55 time: 1.0715 data_time: 0.0527 memory: 22238 grad_norm: 21.0825 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8970 loss: 1.8970 2022/07/31 13:17:55 - mmengine - INFO - Epoch(train) [17][1280/2505] lr: 5.0000e-04 eta: 1 day, 4:22:31 time: 0.8898 data_time: 0.1130 memory: 22238 grad_norm: 21.9293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8705 loss: 1.8705 2022/07/31 13:18:18 - mmengine - INFO - Epoch(train) [17][1300/2505] lr: 5.0000e-04 eta: 1 day, 4:22:18 time: 1.1156 data_time: 0.2173 memory: 22238 grad_norm: 21.0275 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.8014 loss: 1.8014 2022/07/31 13:18:35 - mmengine - INFO - Epoch(train) [17][1320/2505] lr: 5.0000e-04 eta: 1 day, 4:21:54 time: 0.8891 data_time: 0.2120 memory: 22238 grad_norm: 20.7957 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8384 loss: 1.8384 2022/07/31 13:18:57 - mmengine - INFO - Epoch(train) [17][1340/2505] lr: 5.0000e-04 eta: 1 day, 4:21:38 time: 1.0678 data_time: 0.2653 memory: 22238 grad_norm: 20.2056 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3604 loss: 1.3604 2022/07/31 13:19:14 - mmengine - INFO - Epoch(train) [17][1360/2505] lr: 5.0000e-04 eta: 1 day, 4:21:13 time: 0.8633 data_time: 0.1582 memory: 22238 grad_norm: 20.9682 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5944 loss: 1.5944 2022/07/31 13:19:36 - mmengine - INFO - Epoch(train) [17][1380/2505] lr: 5.0000e-04 eta: 1 day, 4:20:58 time: 1.0777 data_time: 0.1193 memory: 22238 grad_norm: 21.0248 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8418 loss: 1.8418 2022/07/31 13:19:53 - mmengine - INFO - Epoch(train) [17][1400/2505] lr: 5.0000e-04 eta: 1 day, 4:20:33 time: 0.8745 data_time: 0.0427 memory: 22238 grad_norm: 20.8707 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7090 loss: 1.7090 2022/07/31 13:20:16 - mmengine - INFO - Epoch(train) [17][1420/2505] lr: 5.0000e-04 eta: 1 day, 4:20:20 time: 1.1282 data_time: 0.0551 memory: 22238 grad_norm: 21.0220 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7516 loss: 1.7516 2022/07/31 13:20:33 - mmengine - INFO - Epoch(train) [17][1440/2505] lr: 5.0000e-04 eta: 1 day, 4:19:55 time: 0.8688 data_time: 0.0817 memory: 22238 grad_norm: 21.4353 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6240 loss: 1.6240 2022/07/31 13:20:55 - mmengine - INFO - Epoch(train) [17][1460/2505] lr: 5.0000e-04 eta: 1 day, 4:19:41 time: 1.1073 data_time: 0.1909 memory: 22238 grad_norm: 20.0101 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9332 loss: 1.9332 2022/07/31 13:21:13 - mmengine - INFO - Epoch(train) [17][1480/2505] lr: 5.0000e-04 eta: 1 day, 4:19:17 time: 0.8788 data_time: 0.2387 memory: 22238 grad_norm: 20.9166 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7647 loss: 1.7647 2022/07/31 13:21:34 - mmengine - INFO - Epoch(train) [17][1500/2505] lr: 5.0000e-04 eta: 1 day, 4:19:01 time: 1.0728 data_time: 0.2710 memory: 22238 grad_norm: 20.1388 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7889 loss: 1.7889 2022/07/31 13:21:52 - mmengine - INFO - Epoch(train) [17][1520/2505] lr: 5.0000e-04 eta: 1 day, 4:18:36 time: 0.8681 data_time: 0.1634 memory: 22238 grad_norm: 20.6510 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9082 loss: 1.9082 2022/07/31 13:22:14 - mmengine - INFO - Epoch(train) [17][1540/2505] lr: 5.0000e-04 eta: 1 day, 4:18:22 time: 1.0924 data_time: 0.1133 memory: 22238 grad_norm: 21.6750 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9080 loss: 1.9080 2022/07/31 13:22:31 - mmengine - INFO - Epoch(train) [17][1560/2505] lr: 5.0000e-04 eta: 1 day, 4:17:56 time: 0.8590 data_time: 0.0830 memory: 22238 grad_norm: 20.9896 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 2.0145 loss: 2.0145 2022/07/31 13:22:52 - mmengine - INFO - Epoch(train) [17][1580/2505] lr: 5.0000e-04 eta: 1 day, 4:17:41 time: 1.0691 data_time: 0.0730 memory: 22238 grad_norm: 20.4410 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8722 loss: 1.8722 2022/07/31 13:23:10 - mmengine - INFO - Epoch(train) [17][1600/2505] lr: 5.0000e-04 eta: 1 day, 4:17:16 time: 0.8868 data_time: 0.0348 memory: 22238 grad_norm: 20.8996 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0199 loss: 2.0199 2022/07/31 13:23:32 - mmengine - INFO - Epoch(train) [17][1620/2505] lr: 5.0000e-04 eta: 1 day, 4:17:03 time: 1.1237 data_time: 0.0371 memory: 22238 grad_norm: 21.0612 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6673 loss: 1.6673 2022/07/31 13:23:49 - mmengine - INFO - Epoch(train) [17][1640/2505] lr: 5.0000e-04 eta: 1 day, 4:16:37 time: 0.8443 data_time: 0.0255 memory: 22238 grad_norm: 20.6995 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9564 loss: 1.9564 2022/07/31 13:24:11 - mmengine - INFO - Epoch(train) [17][1660/2505] lr: 5.0000e-04 eta: 1 day, 4:16:23 time: 1.1050 data_time: 0.0346 memory: 22238 grad_norm: 21.0228 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.8384 loss: 1.8384 2022/07/31 13:24:29 - mmengine - INFO - Epoch(train) [17][1680/2505] lr: 5.0000e-04 eta: 1 day, 4:15:58 time: 0.8710 data_time: 0.1003 memory: 22238 grad_norm: 20.5239 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7596 loss: 1.7596 2022/07/31 13:24:50 - mmengine - INFO - Epoch(train) [17][1700/2505] lr: 5.0000e-04 eta: 1 day, 4:15:44 time: 1.0919 data_time: 0.2657 memory: 22238 grad_norm: 20.8939 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7038 loss: 1.7038 2022/07/31 13:25:08 - mmengine - INFO - Epoch(train) [17][1720/2505] lr: 5.0000e-04 eta: 1 day, 4:15:20 time: 0.8914 data_time: 0.1135 memory: 22238 grad_norm: 21.5327 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5511 loss: 1.5511 2022/07/31 13:25:30 - mmengine - INFO - Epoch(train) [17][1740/2505] lr: 5.0000e-04 eta: 1 day, 4:15:04 time: 1.0649 data_time: 0.1159 memory: 22238 grad_norm: 20.8864 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8226 loss: 1.8226 2022/07/31 13:25:48 - mmengine - INFO - Epoch(train) [17][1760/2505] lr: 5.0000e-04 eta: 1 day, 4:14:41 time: 0.9100 data_time: 0.0807 memory: 22238 grad_norm: 21.6670 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9214 loss: 1.9214 2022/07/31 13:26:10 - mmengine - INFO - Epoch(train) [17][1780/2505] lr: 5.0000e-04 eta: 1 day, 4:14:28 time: 1.1137 data_time: 0.1386 memory: 22238 grad_norm: 21.1782 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.0793 loss: 2.0793 2022/07/31 13:26:27 - mmengine - INFO - Epoch(train) [17][1800/2505] lr: 5.0000e-04 eta: 1 day, 4:14:02 time: 0.8630 data_time: 0.1323 memory: 22238 grad_norm: 21.0269 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7196 loss: 1.7196 2022/07/31 13:26:50 - mmengine - INFO - Epoch(train) [17][1820/2505] lr: 5.0000e-04 eta: 1 day, 4:13:49 time: 1.1201 data_time: 0.4294 memory: 22238 grad_norm: 20.7572 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6702 loss: 1.6702 2022/07/31 13:27:06 - mmengine - INFO - Epoch(train) [17][1840/2505] lr: 5.0000e-04 eta: 1 day, 4:13:21 time: 0.8116 data_time: 0.3296 memory: 22238 grad_norm: 21.5325 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7108 loss: 1.7108 2022/07/31 13:27:27 - mmengine - INFO - Epoch(train) [17][1860/2505] lr: 5.0000e-04 eta: 1 day, 4:13:06 time: 1.0669 data_time: 0.2931 memory: 22238 grad_norm: 20.2882 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8348 loss: 1.8348 2022/07/31 13:27:45 - mmengine - INFO - Epoch(train) [17][1880/2505] lr: 5.0000e-04 eta: 1 day, 4:12:41 time: 0.8799 data_time: 0.2096 memory: 22238 grad_norm: 20.4011 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8717 loss: 1.8717 2022/07/31 13:28:07 - mmengine - INFO - Epoch(train) [17][1900/2505] lr: 5.0000e-04 eta: 1 day, 4:12:27 time: 1.0948 data_time: 0.3190 memory: 22238 grad_norm: 20.7413 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8191 loss: 1.8191 2022/07/31 13:28:24 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 13:28:24 - mmengine - INFO - Epoch(train) [17][1920/2505] lr: 5.0000e-04 eta: 1 day, 4:12:01 time: 0.8584 data_time: 0.2782 memory: 22238 grad_norm: 20.5877 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0067 loss: 2.0067 2022/07/31 13:28:45 - mmengine - INFO - Epoch(train) [17][1940/2505] lr: 5.0000e-04 eta: 1 day, 4:11:46 time: 1.0709 data_time: 0.3320 memory: 22238 grad_norm: 19.8203 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.9713 loss: 1.9713 2022/07/31 13:29:02 - mmengine - INFO - Epoch(train) [17][1960/2505] lr: 5.0000e-04 eta: 1 day, 4:11:18 time: 0.8311 data_time: 0.2253 memory: 22238 grad_norm: 20.4652 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6275 loss: 1.6275 2022/07/31 13:29:25 - mmengine - INFO - Epoch(train) [17][1980/2505] lr: 5.0000e-04 eta: 1 day, 4:11:06 time: 1.1243 data_time: 0.3219 memory: 22238 grad_norm: 21.6044 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6712 loss: 1.6712 2022/07/31 13:29:41 - mmengine - INFO - Epoch(train) [17][2000/2505] lr: 5.0000e-04 eta: 1 day, 4:10:39 time: 0.8435 data_time: 0.2450 memory: 22238 grad_norm: 19.8410 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 1.8754 loss: 1.8754 2022/07/31 13:30:03 - mmengine - INFO - Epoch(train) [17][2020/2505] lr: 5.0000e-04 eta: 1 day, 4:10:23 time: 1.0568 data_time: 0.3278 memory: 22238 grad_norm: 21.4231 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7047 loss: 1.7047 2022/07/31 13:30:20 - mmengine - INFO - Epoch(train) [17][2040/2505] lr: 5.0000e-04 eta: 1 day, 4:09:58 time: 0.8620 data_time: 0.0977 memory: 22238 grad_norm: 20.9951 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0730 loss: 2.0730 2022/07/31 13:30:42 - mmengine - INFO - Epoch(train) [17][2060/2505] lr: 5.0000e-04 eta: 1 day, 4:09:45 time: 1.1301 data_time: 0.1913 memory: 22238 grad_norm: 20.9699 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.7088 loss: 1.7088 2022/07/31 13:31:00 - mmengine - INFO - Epoch(train) [17][2080/2505] lr: 5.0000e-04 eta: 1 day, 4:09:20 time: 0.8631 data_time: 0.1128 memory: 22238 grad_norm: 20.4790 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 2.0332 loss: 2.0332 2022/07/31 13:31:22 - mmengine - INFO - Epoch(train) [17][2100/2505] lr: 5.0000e-04 eta: 1 day, 4:09:06 time: 1.0969 data_time: 0.2416 memory: 22238 grad_norm: 20.4692 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7291 loss: 1.7291 2022/07/31 13:31:39 - mmengine - INFO - Epoch(train) [17][2120/2505] lr: 5.0000e-04 eta: 1 day, 4:08:41 time: 0.8846 data_time: 0.2497 memory: 22238 grad_norm: 21.3500 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4330 loss: 1.4330 2022/07/31 13:32:01 - mmengine - INFO - Epoch(train) [17][2140/2505] lr: 5.0000e-04 eta: 1 day, 4:08:27 time: 1.1018 data_time: 0.3517 memory: 22238 grad_norm: 20.0725 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8778 loss: 1.8778 2022/07/31 13:32:19 - mmengine - INFO - Epoch(train) [17][2160/2505] lr: 5.0000e-04 eta: 1 day, 4:08:02 time: 0.8772 data_time: 0.2313 memory: 22238 grad_norm: 20.0512 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1562 loss: 2.1562 2022/07/31 13:32:41 - mmengine - INFO - Epoch(train) [17][2180/2505] lr: 5.0000e-04 eta: 1 day, 4:07:48 time: 1.0936 data_time: 0.4095 memory: 22238 grad_norm: 20.4170 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6626 loss: 1.6626 2022/07/31 13:32:58 - mmengine - INFO - Epoch(train) [17][2200/2505] lr: 5.0000e-04 eta: 1 day, 4:07:24 time: 0.8852 data_time: 0.3652 memory: 22238 grad_norm: 20.9405 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7718 loss: 1.7718 2022/07/31 13:33:20 - mmengine - INFO - Epoch(train) [17][2220/2505] lr: 5.0000e-04 eta: 1 day, 4:07:09 time: 1.0840 data_time: 0.5122 memory: 22238 grad_norm: 21.7322 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7272 loss: 1.7272 2022/07/31 13:33:37 - mmengine - INFO - Epoch(train) [17][2240/2505] lr: 5.0000e-04 eta: 1 day, 4:06:42 time: 0.8338 data_time: 0.2639 memory: 22238 grad_norm: 19.9872 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8040 loss: 1.8040 2022/07/31 13:33:59 - mmengine - INFO - Epoch(train) [17][2260/2505] lr: 5.0000e-04 eta: 1 day, 4:06:28 time: 1.1029 data_time: 0.2871 memory: 22238 grad_norm: 21.0651 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7863 loss: 1.7863 2022/07/31 13:34:17 - mmengine - INFO - Epoch(train) [17][2280/2505] lr: 5.0000e-04 eta: 1 day, 4:06:04 time: 0.8839 data_time: 0.1794 memory: 22238 grad_norm: 20.5528 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9956 loss: 1.9956 2022/07/31 13:34:39 - mmengine - INFO - Epoch(train) [17][2300/2505] lr: 5.0000e-04 eta: 1 day, 4:05:51 time: 1.1241 data_time: 0.1924 memory: 22238 grad_norm: 21.0939 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8581 loss: 1.8581 2022/07/31 13:34:57 - mmengine - INFO - Epoch(train) [17][2320/2505] lr: 5.0000e-04 eta: 1 day, 4:05:27 time: 0.8922 data_time: 0.0927 memory: 22238 grad_norm: 21.0915 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7930 loss: 1.7930 2022/07/31 13:35:19 - mmengine - INFO - Epoch(train) [17][2340/2505] lr: 5.0000e-04 eta: 1 day, 4:05:13 time: 1.1064 data_time: 0.2256 memory: 22238 grad_norm: 20.8825 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9344 loss: 1.9344 2022/07/31 13:35:37 - mmengine - INFO - Epoch(train) [17][2360/2505] lr: 5.0000e-04 eta: 1 day, 4:04:49 time: 0.8783 data_time: 0.1697 memory: 22238 grad_norm: 21.3895 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8173 loss: 1.8173 2022/07/31 13:35:59 - mmengine - INFO - Epoch(train) [17][2380/2505] lr: 5.0000e-04 eta: 1 day, 4:04:36 time: 1.1359 data_time: 0.1752 memory: 22238 grad_norm: 20.6712 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6002 loss: 1.6002 2022/07/31 13:36:16 - mmengine - INFO - Epoch(train) [17][2400/2505] lr: 5.0000e-04 eta: 1 day, 4:04:10 time: 0.8535 data_time: 0.1455 memory: 22238 grad_norm: 21.0522 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 2.1058 loss: 2.1058 2022/07/31 13:36:38 - mmengine - INFO - Epoch(train) [17][2420/2505] lr: 5.0000e-04 eta: 1 day, 4:03:56 time: 1.0901 data_time: 0.0859 memory: 22238 grad_norm: 19.5922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6419 loss: 1.6419 2022/07/31 13:36:55 - mmengine - INFO - Epoch(train) [17][2440/2505] lr: 5.0000e-04 eta: 1 day, 4:03:30 time: 0.8509 data_time: 0.0344 memory: 22238 grad_norm: 21.3134 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9694 loss: 1.9694 2022/07/31 13:37:18 - mmengine - INFO - Epoch(train) [17][2460/2505] lr: 5.0000e-04 eta: 1 day, 4:03:16 time: 1.1102 data_time: 0.0404 memory: 22238 grad_norm: 20.2178 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7884 loss: 1.7884 2022/07/31 13:37:35 - mmengine - INFO - Epoch(train) [17][2480/2505] lr: 5.0000e-04 eta: 1 day, 4:02:51 time: 0.8689 data_time: 0.0349 memory: 22238 grad_norm: 20.5607 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 1.7567 loss: 1.7567 2022/07/31 13:37:52 - mmengine - INFO - Epoch(train) [17][2500/2505] lr: 5.0000e-04 eta: 1 day, 4:02:26 time: 0.8665 data_time: 0.0322 memory: 22238 grad_norm: 20.1869 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9226 loss: 1.9226 2022/07/31 13:37:54 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 13:37:54 - mmengine - INFO - Epoch(train) [17][2505/2505] lr: 5.0000e-04 eta: 1 day, 4:02:26 time: 0.6161 data_time: 0.0220 memory: 22238 grad_norm: 20.0964 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7158 loss: 1.7158 2022/07/31 13:38:20 - mmengine - INFO - Epoch(train) [18][20/2505] lr: 5.0000e-04 eta: 1 day, 4:02:04 time: 1.2926 data_time: 0.8265 memory: 22238 grad_norm: 21.2202 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7549 loss: 1.7549 2022/07/31 13:38:38 - mmengine - INFO - Epoch(train) [18][40/2505] lr: 5.0000e-04 eta: 1 day, 4:01:40 time: 0.8847 data_time: 0.4423 memory: 22238 grad_norm: 21.1555 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8083 loss: 1.8083 2022/07/31 13:38:59 - mmengine - INFO - Epoch(train) [18][60/2505] lr: 5.0000e-04 eta: 1 day, 4:01:25 time: 1.0765 data_time: 0.6594 memory: 22238 grad_norm: 20.6493 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6380 loss: 1.6380 2022/07/31 13:39:17 - mmengine - INFO - Epoch(train) [18][80/2505] lr: 5.0000e-04 eta: 1 day, 4:01:00 time: 0.8782 data_time: 0.4761 memory: 22238 grad_norm: 20.2919 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5102 loss: 1.5102 2022/07/31 13:39:39 - mmengine - INFO - Epoch(train) [18][100/2505] lr: 5.0000e-04 eta: 1 day, 4:00:47 time: 1.1257 data_time: 0.6480 memory: 22238 grad_norm: 20.8472 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9001 loss: 1.9001 2022/07/31 13:39:57 - mmengine - INFO - Epoch(train) [18][120/2505] lr: 5.0000e-04 eta: 1 day, 4:00:22 time: 0.8684 data_time: 0.3377 memory: 22238 grad_norm: 21.2977 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5158 loss: 1.5158 2022/07/31 13:40:19 - mmengine - INFO - Epoch(train) [18][140/2505] lr: 5.0000e-04 eta: 1 day, 4:00:09 time: 1.1076 data_time: 0.5472 memory: 22238 grad_norm: 21.4755 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7295 loss: 1.7295 2022/07/31 13:40:36 - mmengine - INFO - Epoch(train) [18][160/2505] lr: 5.0000e-04 eta: 1 day, 3:59:43 time: 0.8556 data_time: 0.4077 memory: 22238 grad_norm: 20.8941 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8035 loss: 1.8035 2022/07/31 13:40:58 - mmengine - INFO - Epoch(train) [18][180/2505] lr: 5.0000e-04 eta: 1 day, 3:59:29 time: 1.1120 data_time: 0.6453 memory: 22238 grad_norm: 21.7663 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9720 loss: 1.9720 2022/07/31 13:41:16 - mmengine - INFO - Epoch(train) [18][200/2505] lr: 5.0000e-04 eta: 1 day, 3:59:04 time: 0.8719 data_time: 0.4399 memory: 22238 grad_norm: 21.4901 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7267 loss: 1.7267 2022/07/31 13:41:38 - mmengine - INFO - Epoch(train) [18][220/2505] lr: 5.0000e-04 eta: 1 day, 3:58:50 time: 1.0892 data_time: 0.5972 memory: 22238 grad_norm: 20.8159 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9169 loss: 1.9169 2022/07/31 13:41:55 - mmengine - INFO - Epoch(train) [18][240/2505] lr: 5.0000e-04 eta: 1 day, 3:58:25 time: 0.8839 data_time: 0.3873 memory: 22238 grad_norm: 20.8856 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7541 loss: 1.7541 2022/07/31 13:42:17 - mmengine - INFO - Epoch(train) [18][260/2505] lr: 5.0000e-04 eta: 1 day, 3:58:12 time: 1.1070 data_time: 0.6597 memory: 22238 grad_norm: 20.4821 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7994 loss: 1.7994 2022/07/31 13:42:35 - mmengine - INFO - Epoch(train) [18][280/2505] lr: 5.0000e-04 eta: 1 day, 3:57:48 time: 0.8901 data_time: 0.4372 memory: 22238 grad_norm: 20.8271 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7852 loss: 1.7852 2022/07/31 13:42:58 - mmengine - INFO - Epoch(train) [18][300/2505] lr: 5.0000e-04 eta: 1 day, 3:57:36 time: 1.1518 data_time: 0.4917 memory: 22238 grad_norm: 20.6163 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8747 loss: 1.8747 2022/07/31 13:43:16 - mmengine - INFO - Epoch(train) [18][320/2505] lr: 5.0000e-04 eta: 1 day, 3:57:13 time: 0.9158 data_time: 0.2993 memory: 22238 grad_norm: 20.7708 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7724 loss: 1.7724 2022/07/31 13:43:39 - mmengine - INFO - Epoch(train) [18][340/2505] lr: 5.0000e-04 eta: 1 day, 3:57:01 time: 1.1366 data_time: 0.2876 memory: 22238 grad_norm: 20.8081 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8127 loss: 1.8127 2022/07/31 13:43:57 - mmengine - INFO - Epoch(train) [18][360/2505] lr: 5.0000e-04 eta: 1 day, 3:56:37 time: 0.8888 data_time: 0.1436 memory: 22238 grad_norm: 20.9159 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5944 loss: 1.5944 2022/07/31 13:44:18 - mmengine - INFO - Epoch(train) [18][380/2505] lr: 5.0000e-04 eta: 1 day, 3:56:21 time: 1.0646 data_time: 0.0729 memory: 22238 grad_norm: 20.4450 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5529 loss: 1.5529 2022/07/31 13:44:36 - mmengine - INFO - Epoch(train) [18][400/2505] lr: 5.0000e-04 eta: 1 day, 3:55:57 time: 0.8837 data_time: 0.1205 memory: 22238 grad_norm: 19.6039 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5960 loss: 1.5960 2022/07/31 13:44:52 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 13:44:58 - mmengine - INFO - Epoch(train) [18][420/2505] lr: 5.0000e-04 eta: 1 day, 3:55:44 time: 1.1285 data_time: 0.0395 memory: 22238 grad_norm: 20.3689 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6738 loss: 1.6738 2022/07/31 13:45:16 - mmengine - INFO - Epoch(train) [18][440/2505] lr: 5.0000e-04 eta: 1 day, 3:55:20 time: 0.8997 data_time: 0.0281 memory: 22238 grad_norm: 21.7185 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8217 loss: 1.8217 2022/07/31 13:45:38 - mmengine - INFO - Epoch(train) [18][460/2505] lr: 5.0000e-04 eta: 1 day, 3:55:06 time: 1.0935 data_time: 0.0316 memory: 22238 grad_norm: 20.1672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7758 loss: 1.7758 2022/07/31 13:45:56 - mmengine - INFO - Epoch(train) [18][480/2505] lr: 5.0000e-04 eta: 1 day, 3:54:41 time: 0.8640 data_time: 0.0286 memory: 22238 grad_norm: 21.1404 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6792 loss: 1.6792 2022/07/31 13:46:17 - mmengine - INFO - Epoch(train) [18][500/2505] lr: 5.0000e-04 eta: 1 day, 3:54:26 time: 1.0846 data_time: 0.0282 memory: 22238 grad_norm: 20.0771 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9168 loss: 1.9168 2022/07/31 13:46:34 - mmengine - INFO - Epoch(train) [18][520/2505] lr: 5.0000e-04 eta: 1 day, 3:53:59 time: 0.8291 data_time: 0.0308 memory: 22238 grad_norm: 21.1998 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6799 loss: 1.6799 2022/07/31 13:46:55 - mmengine - INFO - Epoch(train) [18][540/2505] lr: 5.0000e-04 eta: 1 day, 3:53:43 time: 1.0587 data_time: 0.0728 memory: 22238 grad_norm: 20.8047 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9741 loss: 1.9741 2022/07/31 13:47:13 - mmengine - INFO - Epoch(train) [18][560/2505] lr: 5.0000e-04 eta: 1 day, 3:53:19 time: 0.9020 data_time: 0.0823 memory: 22238 grad_norm: 20.2711 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9094 loss: 1.9094 2022/07/31 13:47:36 - mmengine - INFO - Epoch(train) [18][580/2505] lr: 5.0000e-04 eta: 1 day, 3:53:08 time: 1.1532 data_time: 0.0293 memory: 22238 grad_norm: 20.0502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6626 loss: 1.6626 2022/07/31 13:47:54 - mmengine - INFO - Epoch(train) [18][600/2505] lr: 5.0000e-04 eta: 1 day, 3:52:43 time: 0.8825 data_time: 0.0316 memory: 22238 grad_norm: 20.5902 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.4996 loss: 1.4996 2022/07/31 13:48:15 - mmengine - INFO - Epoch(train) [18][620/2505] lr: 5.0000e-04 eta: 1 day, 3:52:28 time: 1.0814 data_time: 0.0328 memory: 22238 grad_norm: 21.0581 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6823 loss: 1.6823 2022/07/31 13:48:33 - mmengine - INFO - Epoch(train) [18][640/2505] lr: 5.0000e-04 eta: 1 day, 3:52:04 time: 0.8986 data_time: 0.0325 memory: 22238 grad_norm: 20.4906 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6610 loss: 1.6610 2022/07/31 13:48:55 - mmengine - INFO - Epoch(train) [18][660/2505] lr: 5.0000e-04 eta: 1 day, 3:51:50 time: 1.0876 data_time: 0.0287 memory: 22238 grad_norm: 21.1882 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7681 loss: 1.7681 2022/07/31 13:49:13 - mmengine - INFO - Epoch(train) [18][680/2505] lr: 5.0000e-04 eta: 1 day, 3:51:26 time: 0.8982 data_time: 0.0312 memory: 22238 grad_norm: 21.1245 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7395 loss: 1.7395 2022/07/31 13:49:35 - mmengine - INFO - Epoch(train) [18][700/2505] lr: 5.0000e-04 eta: 1 day, 3:51:12 time: 1.1022 data_time: 0.0275 memory: 22238 grad_norm: 21.0233 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7359 loss: 1.7359 2022/07/31 13:49:53 - mmengine - INFO - Epoch(train) [18][720/2505] lr: 5.0000e-04 eta: 1 day, 3:50:47 time: 0.8683 data_time: 0.0407 memory: 22238 grad_norm: 21.0985 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9707 loss: 1.9707 2022/07/31 13:50:14 - mmengine - INFO - Epoch(train) [18][740/2505] lr: 5.0000e-04 eta: 1 day, 3:50:31 time: 1.0613 data_time: 0.0313 memory: 22238 grad_norm: 21.2523 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7272 loss: 1.7272 2022/07/31 13:50:31 - mmengine - INFO - Epoch(train) [18][760/2505] lr: 5.0000e-04 eta: 1 day, 3:50:06 time: 0.8698 data_time: 0.0313 memory: 22238 grad_norm: 20.0601 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4711 loss: 1.4711 2022/07/31 13:50:52 - mmengine - INFO - Epoch(train) [18][780/2505] lr: 5.0000e-04 eta: 1 day, 3:49:48 time: 1.0124 data_time: 0.0283 memory: 22238 grad_norm: 21.2318 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8506 loss: 1.8506 2022/07/31 13:51:09 - mmengine - INFO - Epoch(train) [18][800/2505] lr: 5.0000e-04 eta: 1 day, 3:49:22 time: 0.8605 data_time: 0.0347 memory: 22238 grad_norm: 19.9981 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6966 loss: 1.6966 2022/07/31 13:51:30 - mmengine - INFO - Epoch(train) [18][820/2505] lr: 5.0000e-04 eta: 1 day, 3:49:08 time: 1.0869 data_time: 0.0274 memory: 22238 grad_norm: 20.5851 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5013 loss: 1.5013 2022/07/31 13:51:47 - mmengine - INFO - Epoch(train) [18][840/2505] lr: 5.0000e-04 eta: 1 day, 3:48:42 time: 0.8475 data_time: 0.0286 memory: 22238 grad_norm: 20.1892 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6836 loss: 1.6836 2022/07/31 13:52:10 - mmengine - INFO - Epoch(train) [18][860/2505] lr: 5.0000e-04 eta: 1 day, 3:48:30 time: 1.1469 data_time: 0.0281 memory: 22238 grad_norm: 21.0639 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.7517 loss: 1.7517 2022/07/31 13:52:28 - mmengine - INFO - Epoch(train) [18][880/2505] lr: 5.0000e-04 eta: 1 day, 3:48:05 time: 0.8846 data_time: 0.0281 memory: 22238 grad_norm: 20.3732 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7175 loss: 1.7175 2022/07/31 13:52:50 - mmengine - INFO - Epoch(train) [18][900/2505] lr: 5.0000e-04 eta: 1 day, 3:47:52 time: 1.1124 data_time: 0.0277 memory: 22238 grad_norm: 20.2309 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6423 loss: 1.6423 2022/07/31 13:53:07 - mmengine - INFO - Epoch(train) [18][920/2505] lr: 5.0000e-04 eta: 1 day, 3:47:24 time: 0.8180 data_time: 0.0284 memory: 22238 grad_norm: 20.1797 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7953 loss: 1.7953 2022/07/31 13:53:27 - mmengine - INFO - Epoch(train) [18][940/2505] lr: 5.0000e-04 eta: 1 day, 3:47:07 time: 1.0350 data_time: 0.0286 memory: 22238 grad_norm: 20.3152 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6987 loss: 1.6987 2022/07/31 13:53:45 - mmengine - INFO - Epoch(train) [18][960/2505] lr: 5.0000e-04 eta: 1 day, 3:46:43 time: 0.8958 data_time: 0.0292 memory: 22238 grad_norm: 20.3167 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8363 loss: 1.8363 2022/07/31 13:54:06 - mmengine - INFO - Epoch(train) [18][980/2505] lr: 5.0000e-04 eta: 1 day, 3:46:26 time: 1.0318 data_time: 0.0289 memory: 22238 grad_norm: 20.9152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7208 loss: 1.7208 2022/07/31 13:54:25 - mmengine - INFO - Epoch(train) [18][1000/2505] lr: 5.0000e-04 eta: 1 day, 3:46:05 time: 0.9512 data_time: 0.0287 memory: 22238 grad_norm: 21.1572 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7368 loss: 1.7368 2022/07/31 13:54:45 - mmengine - INFO - Epoch(train) [18][1020/2505] lr: 5.0000e-04 eta: 1 day, 3:45:45 time: 0.9778 data_time: 0.0308 memory: 22238 grad_norm: 19.8119 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6884 loss: 1.6884 2022/07/31 13:55:05 - mmengine - INFO - Epoch(train) [18][1040/2505] lr: 5.0000e-04 eta: 1 day, 3:45:28 time: 1.0379 data_time: 0.0341 memory: 22238 grad_norm: 20.3663 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7430 loss: 1.7430 2022/07/31 13:55:24 - mmengine - INFO - Epoch(train) [18][1060/2505] lr: 5.0000e-04 eta: 1 day, 3:45:07 time: 0.9515 data_time: 0.0284 memory: 22238 grad_norm: 20.5360 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7056 loss: 1.7056 2022/07/31 13:55:45 - mmengine - INFO - Epoch(train) [18][1080/2505] lr: 5.0000e-04 eta: 1 day, 3:44:48 time: 1.0101 data_time: 0.0329 memory: 22238 grad_norm: 20.6220 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9756 loss: 1.9756 2022/07/31 13:56:05 - mmengine - INFO - Epoch(train) [18][1100/2505] lr: 5.0000e-04 eta: 1 day, 3:44:29 time: 0.9972 data_time: 0.0319 memory: 22238 grad_norm: 19.2498 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8095 loss: 1.8095 2022/07/31 13:56:23 - mmengine - INFO - Epoch(train) [18][1120/2505] lr: 5.0000e-04 eta: 1 day, 3:44:08 time: 0.9461 data_time: 0.0324 memory: 22238 grad_norm: 20.4929 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9803 loss: 1.9803 2022/07/31 13:56:43 - mmengine - INFO - Epoch(train) [18][1140/2505] lr: 5.0000e-04 eta: 1 day, 3:43:49 time: 0.9921 data_time: 0.0325 memory: 22238 grad_norm: 21.0443 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8361 loss: 1.8361 2022/07/31 13:57:02 - mmengine - INFO - Epoch(train) [18][1160/2505] lr: 5.0000e-04 eta: 1 day, 3:43:26 time: 0.9185 data_time: 0.0350 memory: 22238 grad_norm: 20.1829 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7936 loss: 1.7936 2022/07/31 13:57:21 - mmengine - INFO - Epoch(train) [18][1180/2505] lr: 5.0000e-04 eta: 1 day, 3:43:06 time: 0.9742 data_time: 0.0330 memory: 22238 grad_norm: 20.1119 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6500 loss: 1.6500 2022/07/31 13:57:41 - mmengine - INFO - Epoch(train) [18][1200/2505] lr: 5.0000e-04 eta: 1 day, 3:42:47 time: 1.0010 data_time: 0.0332 memory: 22238 grad_norm: 21.3984 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6587 loss: 1.6587 2022/07/31 13:58:01 - mmengine - INFO - Epoch(train) [18][1220/2505] lr: 5.0000e-04 eta: 1 day, 3:42:28 time: 0.9867 data_time: 0.0309 memory: 22238 grad_norm: 21.4057 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9533 loss: 1.9533 2022/07/31 13:58:20 - mmengine - INFO - Epoch(train) [18][1240/2505] lr: 5.0000e-04 eta: 1 day, 3:42:08 time: 0.9746 data_time: 0.0357 memory: 22238 grad_norm: 19.8269 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7922 loss: 1.7922 2022/07/31 13:58:39 - mmengine - INFO - Epoch(train) [18][1260/2505] lr: 5.0000e-04 eta: 1 day, 3:41:46 time: 0.9384 data_time: 0.0276 memory: 22238 grad_norm: 20.1950 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6904 loss: 1.6904 2022/07/31 13:59:00 - mmengine - INFO - Epoch(train) [18][1280/2505] lr: 5.0000e-04 eta: 1 day, 3:41:30 time: 1.0644 data_time: 0.0289 memory: 22238 grad_norm: 20.5364 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6291 loss: 1.6291 2022/07/31 13:59:18 - mmengine - INFO - Epoch(train) [18][1300/2505] lr: 5.0000e-04 eta: 1 day, 3:41:06 time: 0.8898 data_time: 0.0286 memory: 22238 grad_norm: 20.0797 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7036 loss: 1.7036 2022/07/31 13:59:40 - mmengine - INFO - Epoch(train) [18][1320/2505] lr: 5.0000e-04 eta: 1 day, 3:40:50 time: 1.0614 data_time: 0.0478 memory: 22238 grad_norm: 21.1408 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7517 loss: 1.7517 2022/07/31 13:59:57 - mmengine - INFO - Epoch(train) [18][1340/2505] lr: 5.0000e-04 eta: 1 day, 3:40:26 time: 0.8778 data_time: 0.0429 memory: 22238 grad_norm: 20.5844 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8393 loss: 1.8393 2022/07/31 14:00:19 - mmengine - INFO - Epoch(train) [18][1360/2505] lr: 5.0000e-04 eta: 1 day, 3:40:11 time: 1.0846 data_time: 0.0325 memory: 22238 grad_norm: 20.6319 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6867 loss: 1.6867 2022/07/31 14:00:37 - mmengine - INFO - Epoch(train) [18][1380/2505] lr: 5.0000e-04 eta: 1 day, 3:39:47 time: 0.8953 data_time: 0.0329 memory: 22238 grad_norm: 21.3027 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6738 loss: 1.6738 2022/07/31 14:00:59 - mmengine - INFO - Epoch(train) [18][1400/2505] lr: 5.0000e-04 eta: 1 day, 3:39:33 time: 1.0967 data_time: 0.0291 memory: 22238 grad_norm: 20.5385 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8498 loss: 1.8498 2022/07/31 14:01:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 14:01:17 - mmengine - INFO - Epoch(train) [18][1420/2505] lr: 5.0000e-04 eta: 1 day, 3:39:10 time: 0.9185 data_time: 0.0342 memory: 22238 grad_norm: 19.9123 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8945 loss: 1.8945 2022/07/31 14:01:37 - mmengine - INFO - Epoch(train) [18][1440/2505] lr: 5.0000e-04 eta: 1 day, 3:38:52 time: 1.0224 data_time: 0.0443 memory: 22238 grad_norm: 20.6633 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5279 loss: 1.5279 2022/07/31 14:01:55 - mmengine - INFO - Epoch(train) [18][1460/2505] lr: 5.0000e-04 eta: 1 day, 3:38:29 time: 0.9059 data_time: 0.0698 memory: 22238 grad_norm: 20.6473 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.6740 loss: 1.6740 2022/07/31 14:02:17 - mmengine - INFO - Epoch(train) [18][1480/2505] lr: 5.0000e-04 eta: 1 day, 3:38:13 time: 1.0537 data_time: 0.0279 memory: 22238 grad_norm: 19.9716 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9178 loss: 1.9178 2022/07/31 14:02:36 - mmengine - INFO - Epoch(train) [18][1500/2505] lr: 5.0000e-04 eta: 1 day, 3:37:52 time: 0.9599 data_time: 0.0274 memory: 22238 grad_norm: 21.0732 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8192 loss: 1.8192 2022/07/31 14:02:56 - mmengine - INFO - Epoch(train) [18][1520/2505] lr: 5.0000e-04 eta: 1 day, 3:37:33 time: 0.9964 data_time: 0.0967 memory: 22238 grad_norm: 20.8656 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8804 loss: 1.8804 2022/07/31 14:03:14 - mmengine - INFO - Epoch(train) [18][1540/2505] lr: 5.0000e-04 eta: 1 day, 3:37:11 time: 0.9285 data_time: 0.0951 memory: 22238 grad_norm: 19.9787 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7145 loss: 1.7145 2022/07/31 14:03:35 - mmengine - INFO - Epoch(train) [18][1560/2505] lr: 5.0000e-04 eta: 1 day, 3:36:54 time: 1.0447 data_time: 0.1830 memory: 22238 grad_norm: 20.6913 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8574 loss: 1.8574 2022/07/31 14:03:55 - mmengine - INFO - Epoch(train) [18][1580/2505] lr: 5.0000e-04 eta: 1 day, 3:36:35 time: 0.9952 data_time: 0.3105 memory: 22238 grad_norm: 20.1195 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.8525 loss: 1.8525 2022/07/31 14:04:16 - mmengine - INFO - Epoch(train) [18][1600/2505] lr: 5.0000e-04 eta: 1 day, 3:36:18 time: 1.0487 data_time: 0.0690 memory: 22238 grad_norm: 20.2791 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8098 loss: 1.8098 2022/07/31 14:04:35 - mmengine - INFO - Epoch(train) [18][1620/2505] lr: 5.0000e-04 eta: 1 day, 3:35:56 time: 0.9296 data_time: 0.0522 memory: 22238 grad_norm: 20.7460 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7730 loss: 1.7730 2022/07/31 14:04:56 - mmengine - INFO - Epoch(train) [18][1640/2505] lr: 5.0000e-04 eta: 1 day, 3:35:41 time: 1.0811 data_time: 0.0276 memory: 22238 grad_norm: 20.1103 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.6291 loss: 1.6291 2022/07/31 14:05:14 - mmengine - INFO - Epoch(train) [18][1660/2505] lr: 5.0000e-04 eta: 1 day, 3:35:17 time: 0.8919 data_time: 0.0291 memory: 22238 grad_norm: 20.2528 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7613 loss: 1.7613 2022/07/31 14:05:35 - mmengine - INFO - Epoch(train) [18][1680/2505] lr: 5.0000e-04 eta: 1 day, 3:35:01 time: 1.0580 data_time: 0.0280 memory: 22238 grad_norm: 20.2875 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9885 loss: 1.9885 2022/07/31 14:05:53 - mmengine - INFO - Epoch(train) [18][1700/2505] lr: 5.0000e-04 eta: 1 day, 3:34:37 time: 0.9037 data_time: 0.0300 memory: 22238 grad_norm: 20.2738 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8063 loss: 1.8063 2022/07/31 14:06:14 - mmengine - INFO - Epoch(train) [18][1720/2505] lr: 5.0000e-04 eta: 1 day, 3:34:21 time: 1.0489 data_time: 0.0283 memory: 22238 grad_norm: 20.0375 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7534 loss: 1.7534 2022/07/31 14:06:31 - mmengine - INFO - Epoch(train) [18][1740/2505] lr: 5.0000e-04 eta: 1 day, 3:33:55 time: 0.8456 data_time: 0.0298 memory: 22238 grad_norm: 20.9800 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9070 loss: 1.9070 2022/07/31 14:06:54 - mmengine - INFO - Epoch(train) [18][1760/2505] lr: 5.0000e-04 eta: 1 day, 3:33:42 time: 1.1289 data_time: 0.0290 memory: 22238 grad_norm: 19.7549 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7680 loss: 1.7680 2022/07/31 14:07:11 - mmengine - INFO - Epoch(train) [18][1780/2505] lr: 5.0000e-04 eta: 1 day, 3:33:16 time: 0.8497 data_time: 0.0285 memory: 22238 grad_norm: 21.0662 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6629 loss: 1.6629 2022/07/31 14:07:33 - mmengine - INFO - Epoch(train) [18][1800/2505] lr: 5.0000e-04 eta: 1 day, 3:33:01 time: 1.0910 data_time: 0.0295 memory: 22238 grad_norm: 19.2607 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7547 loss: 1.7547 2022/07/31 14:07:50 - mmengine - INFO - Epoch(train) [18][1820/2505] lr: 5.0000e-04 eta: 1 day, 3:32:36 time: 0.8607 data_time: 0.0288 memory: 22238 grad_norm: 20.1547 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8939 loss: 1.8939 2022/07/31 14:08:11 - mmengine - INFO - Epoch(train) [18][1840/2505] lr: 5.0000e-04 eta: 1 day, 3:32:21 time: 1.0699 data_time: 0.0807 memory: 22238 grad_norm: 19.7595 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7041 loss: 1.7041 2022/07/31 14:08:30 - mmengine - INFO - Epoch(train) [18][1860/2505] lr: 5.0000e-04 eta: 1 day, 3:31:58 time: 0.9249 data_time: 0.2118 memory: 22238 grad_norm: 20.1311 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.9484 loss: 1.9484 2022/07/31 14:08:50 - mmengine - INFO - Epoch(train) [18][1880/2505] lr: 5.0000e-04 eta: 1 day, 3:31:39 time: 0.9939 data_time: 0.2325 memory: 22238 grad_norm: 20.7165 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6437 loss: 1.6437 2022/07/31 14:09:09 - mmengine - INFO - Epoch(train) [18][1900/2505] lr: 5.0000e-04 eta: 1 day, 3:31:20 time: 0.9913 data_time: 0.3357 memory: 22238 grad_norm: 20.1080 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6357 loss: 1.6357 2022/07/31 14:09:29 - mmengine - INFO - Epoch(train) [18][1920/2505] lr: 5.0000e-04 eta: 1 day, 3:31:00 time: 0.9743 data_time: 0.2216 memory: 22238 grad_norm: 20.5732 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6700 loss: 1.6700 2022/07/31 14:09:48 - mmengine - INFO - Epoch(train) [18][1940/2505] lr: 5.0000e-04 eta: 1 day, 3:30:40 time: 0.9749 data_time: 0.2984 memory: 22238 grad_norm: 20.2943 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8864 loss: 1.8864 2022/07/31 14:10:08 - mmengine - INFO - Epoch(train) [18][1960/2505] lr: 5.0000e-04 eta: 1 day, 3:30:20 time: 0.9745 data_time: 0.2643 memory: 22238 grad_norm: 20.7156 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7371 loss: 1.7371 2022/07/31 14:10:29 - mmengine - INFO - Epoch(train) [18][1980/2505] lr: 5.0000e-04 eta: 1 day, 3:30:02 time: 1.0374 data_time: 0.3543 memory: 22238 grad_norm: 21.3454 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5883 loss: 1.5883 2022/07/31 14:10:48 - mmengine - INFO - Epoch(train) [18][2000/2505] lr: 5.0000e-04 eta: 1 day, 3:29:42 time: 0.9580 data_time: 0.2604 memory: 22238 grad_norm: 20.0499 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7202 loss: 1.7202 2022/07/31 14:11:08 - mmengine - INFO - Epoch(train) [18][2020/2505] lr: 5.0000e-04 eta: 1 day, 3:29:24 time: 1.0218 data_time: 0.3645 memory: 22238 grad_norm: 21.0496 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6756 loss: 1.6756 2022/07/31 14:11:27 - mmengine - INFO - Epoch(train) [18][2040/2505] lr: 5.0000e-04 eta: 1 day, 3:29:01 time: 0.9205 data_time: 0.3414 memory: 22238 grad_norm: 20.2994 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4371 loss: 1.4371 2022/07/31 14:11:48 - mmengine - INFO - Epoch(train) [18][2060/2505] lr: 5.0000e-04 eta: 1 day, 3:28:44 time: 1.0428 data_time: 0.5121 memory: 22238 grad_norm: 20.8140 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5785 loss: 1.5785 2022/07/31 14:12:06 - mmengine - INFO - Epoch(train) [18][2080/2505] lr: 5.0000e-04 eta: 1 day, 3:28:23 time: 0.9429 data_time: 0.3393 memory: 22238 grad_norm: 20.5268 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7288 loss: 1.7288 2022/07/31 14:12:27 - mmengine - INFO - Epoch(train) [18][2100/2505] lr: 5.0000e-04 eta: 1 day, 3:28:05 time: 1.0128 data_time: 0.4205 memory: 22238 grad_norm: 20.5207 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9408 loss: 1.9408 2022/07/31 14:12:46 - mmengine - INFO - Epoch(train) [18][2120/2505] lr: 5.0000e-04 eta: 1 day, 3:27:44 time: 0.9604 data_time: 0.2912 memory: 22238 grad_norm: 20.8600 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8459 loss: 1.8459 2022/07/31 14:13:06 - mmengine - INFO - Epoch(train) [18][2140/2505] lr: 5.0000e-04 eta: 1 day, 3:27:24 time: 0.9798 data_time: 0.4314 memory: 22238 grad_norm: 20.0802 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8533 loss: 1.8533 2022/07/31 14:13:25 - mmengine - INFO - Epoch(train) [18][2160/2505] lr: 5.0000e-04 eta: 1 day, 3:27:05 time: 0.9935 data_time: 0.2785 memory: 22238 grad_norm: 20.3251 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6029 loss: 1.6029 2022/07/31 14:13:45 - mmengine - INFO - Epoch(train) [18][2180/2505] lr: 5.0000e-04 eta: 1 day, 3:26:45 time: 0.9669 data_time: 0.3356 memory: 22238 grad_norm: 21.2373 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7861 loss: 1.7861 2022/07/31 14:14:05 - mmengine - INFO - Epoch(train) [18][2200/2505] lr: 5.0000e-04 eta: 1 day, 3:26:27 time: 1.0369 data_time: 0.1611 memory: 22238 grad_norm: 20.3130 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4952 loss: 1.4952 2022/07/31 14:14:24 - mmengine - INFO - Epoch(train) [18][2220/2505] lr: 5.0000e-04 eta: 1 day, 3:26:04 time: 0.9063 data_time: 0.1629 memory: 22238 grad_norm: 20.6987 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9885 loss: 1.9885 2022/07/31 14:14:44 - mmengine - INFO - Epoch(train) [18][2240/2505] lr: 5.0000e-04 eta: 1 day, 3:25:45 time: 1.0010 data_time: 0.2560 memory: 22238 grad_norm: 20.9873 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9108 loss: 1.9108 2022/07/31 14:15:02 - mmengine - INFO - Epoch(train) [18][2260/2505] lr: 5.0000e-04 eta: 1 day, 3:25:23 time: 0.9285 data_time: 0.3095 memory: 22238 grad_norm: 20.3123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7032 loss: 1.7032 2022/07/31 14:15:23 - mmengine - INFO - Epoch(train) [18][2280/2505] lr: 5.0000e-04 eta: 1 day, 3:25:07 time: 1.0644 data_time: 0.2876 memory: 22238 grad_norm: 20.3447 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7481 loss: 1.7481 2022/07/31 14:15:43 - mmengine - INFO - Epoch(train) [18][2300/2505] lr: 5.0000e-04 eta: 1 day, 3:24:47 time: 0.9684 data_time: 0.2995 memory: 22238 grad_norm: 20.3704 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7980 loss: 1.7980 2022/07/31 14:16:03 - mmengine - INFO - Epoch(train) [18][2320/2505] lr: 5.0000e-04 eta: 1 day, 3:24:29 time: 1.0164 data_time: 0.1975 memory: 22238 grad_norm: 20.4495 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8127 loss: 1.8127 2022/07/31 14:16:21 - mmengine - INFO - Epoch(train) [18][2340/2505] lr: 5.0000e-04 eta: 1 day, 3:24:05 time: 0.8857 data_time: 0.1614 memory: 22238 grad_norm: 19.4586 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6979 loss: 1.6979 2022/07/31 14:16:42 - mmengine - INFO - Epoch(train) [18][2360/2505] lr: 5.0000e-04 eta: 1 day, 3:23:48 time: 1.0516 data_time: 0.1574 memory: 22238 grad_norm: 20.3461 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7826 loss: 1.7826 2022/07/31 14:17:00 - mmengine - INFO - Epoch(train) [18][2380/2505] lr: 5.0000e-04 eta: 1 day, 3:23:25 time: 0.9113 data_time: 0.1057 memory: 22238 grad_norm: 20.7959 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8450 loss: 1.8450 2022/07/31 14:17:21 - mmengine - INFO - Epoch(train) [18][2400/2505] lr: 5.0000e-04 eta: 1 day, 3:23:08 time: 1.0306 data_time: 0.2266 memory: 22238 grad_norm: 20.2778 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4479 loss: 1.4479 2022/07/31 14:17:35 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 14:17:41 - mmengine - INFO - Epoch(train) [18][2420/2505] lr: 5.0000e-04 eta: 1 day, 3:22:49 time: 0.9948 data_time: 0.1839 memory: 22238 grad_norm: 20.7027 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.8495 loss: 1.8495 2022/07/31 14:18:00 - mmengine - INFO - Epoch(train) [18][2440/2505] lr: 5.0000e-04 eta: 1 day, 3:22:29 time: 0.9706 data_time: 0.0266 memory: 22238 grad_norm: 20.5520 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8212 loss: 1.8212 2022/07/31 14:18:20 - mmengine - INFO - Epoch(train) [18][2460/2505] lr: 5.0000e-04 eta: 1 day, 3:22:10 time: 1.0082 data_time: 0.0288 memory: 22238 grad_norm: 20.2880 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.8263 loss: 1.8263 2022/07/31 14:18:39 - mmengine - INFO - Epoch(train) [18][2480/2505] lr: 5.0000e-04 eta: 1 day, 3:21:49 time: 0.9563 data_time: 0.0279 memory: 22238 grad_norm: 19.9853 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7538 loss: 1.7538 2022/07/31 14:18:56 - mmengine - INFO - Epoch(train) [18][2500/2505] lr: 5.0000e-04 eta: 1 day, 3:21:23 time: 0.8402 data_time: 0.0283 memory: 22238 grad_norm: 20.3196 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6550 loss: 1.6550 2022/07/31 14:18:58 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 14:18:58 - mmengine - INFO - Epoch(train) [18][2505/2505] lr: 5.0000e-04 eta: 1 day, 3:21:23 time: 0.6048 data_time: 0.0186 memory: 22238 grad_norm: 20.6706 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.8598 loss: 1.8598 2022/07/31 14:18:58 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/07/31 14:19:04 - mmengine - INFO - Epoch(val) [18][20/2475] eta: 0:04:31 time: 0.1107 data_time: 0.0908 memory: 564 2022/07/31 14:19:06 - mmengine - INFO - Epoch(val) [18][40/2475] eta: 0:02:49 time: 0.0697 data_time: 0.0499 memory: 564 2022/07/31 14:19:08 - mmengine - INFO - Epoch(val) [18][60/2475] eta: 0:04:03 time: 0.1009 data_time: 0.0825 memory: 564 2022/07/31 14:19:09 - mmengine - INFO - Epoch(val) [18][80/2475] eta: 0:02:52 time: 0.0720 data_time: 0.0542 memory: 564 2022/07/31 14:19:11 - mmengine - INFO - Epoch(val) [18][100/2475] eta: 0:03:52 time: 0.0980 data_time: 0.0757 memory: 564 2022/07/31 14:19:12 - mmengine - INFO - Epoch(val) [18][120/2475] eta: 0:02:34 time: 0.0654 data_time: 0.0480 memory: 564 2022/07/31 14:19:14 - mmengine - INFO - Epoch(val) [18][140/2475] eta: 0:03:22 time: 0.0866 data_time: 0.0678 memory: 564 2022/07/31 14:19:16 - mmengine - INFO - Epoch(val) [18][160/2475] eta: 0:03:02 time: 0.0790 data_time: 0.0599 memory: 564 2022/07/31 14:19:17 - mmengine - INFO - Epoch(val) [18][180/2475] eta: 0:03:21 time: 0.0879 data_time: 0.0698 memory: 564 2022/07/31 14:19:19 - mmengine - INFO - Epoch(val) [18][200/2475] eta: 0:02:24 time: 0.0634 data_time: 0.0453 memory: 564 2022/07/31 14:19:20 - mmengine - INFO - Epoch(val) [18][220/2475] eta: 0:03:17 time: 0.0878 data_time: 0.0659 memory: 564 2022/07/31 14:19:22 - mmengine - INFO - Epoch(val) [18][240/2475] eta: 0:02:47 time: 0.0751 data_time: 0.0557 memory: 564 2022/07/31 14:19:24 - mmengine - INFO - Epoch(val) [18][260/2475] eta: 0:03:10 time: 0.0860 data_time: 0.0676 memory: 564 2022/07/31 14:19:25 - mmengine - INFO - Epoch(val) [18][280/2475] eta: 0:02:22 time: 0.0648 data_time: 0.0475 memory: 564 2022/07/31 14:19:27 - mmengine - INFO - Epoch(val) [18][300/2475] eta: 0:03:12 time: 0.0884 data_time: 0.0703 memory: 564 2022/07/31 14:19:29 - mmengine - INFO - Epoch(val) [18][320/2475] eta: 0:03:06 time: 0.0863 data_time: 0.0671 memory: 564 2022/07/31 14:19:30 - mmengine - INFO - Epoch(val) [18][340/2475] eta: 0:03:21 time: 0.0946 data_time: 0.0743 memory: 564 2022/07/31 14:19:32 - mmengine - INFO - Epoch(val) [18][360/2475] eta: 0:02:10 time: 0.0615 data_time: 0.0398 memory: 564 2022/07/31 14:19:33 - mmengine - INFO - Epoch(val) [18][380/2475] eta: 0:03:02 time: 0.0870 data_time: 0.0658 memory: 564 2022/07/31 14:19:35 - mmengine - INFO - Epoch(val) [18][400/2475] eta: 0:02:18 time: 0.0666 data_time: 0.0481 memory: 564 2022/07/31 14:19:36 - mmengine - INFO - Epoch(val) [18][420/2475] eta: 0:03:00 time: 0.0880 data_time: 0.0694 memory: 564 2022/07/31 14:19:38 - 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mmengine - INFO - Epoch(val) [18][1320/2475] eta: 0:01:42 time: 0.0887 data_time: 0.0664 memory: 564 2022/07/31 14:20:52 - mmengine - INFO - Epoch(val) [18][1340/2475] eta: 0:01:19 time: 0.0702 data_time: 0.0508 memory: 564 2022/07/31 14:20:54 - mmengine - INFO - Epoch(val) [18][1360/2475] eta: 0:01:41 time: 0.0908 data_time: 0.0713 memory: 564 2022/07/31 14:20:55 - mmengine - INFO - Epoch(val) [18][1380/2475] eta: 0:01:18 time: 0.0721 data_time: 0.0522 memory: 564 2022/07/31 14:20:57 - mmengine - INFO - Epoch(val) [18][1400/2475] eta: 0:01:30 time: 0.0844 data_time: 0.0665 memory: 564 2022/07/31 14:20:58 - mmengine - INFO - Epoch(val) [18][1420/2475] eta: 0:01:12 time: 0.0689 data_time: 0.0492 memory: 564 2022/07/31 14:21:00 - mmengine - INFO - Epoch(val) [18][1440/2475] eta: 0:01:41 time: 0.0980 data_time: 0.0714 memory: 564 2022/07/31 14:21:02 - mmengine - INFO - Epoch(val) [18][1460/2475] eta: 0:01:15 time: 0.0744 data_time: 0.0562 memory: 564 2022/07/31 14:21:03 - mmengine - INFO - Epoch(val) [18][1480/2475] eta: 0:01:22 time: 0.0829 data_time: 0.0647 memory: 564 2022/07/31 14:21:05 - mmengine - INFO - Epoch(val) [18][1500/2475] eta: 0:01:27 time: 0.0901 data_time: 0.0710 memory: 564 2022/07/31 14:21:06 - mmengine - INFO - Epoch(val) [18][1520/2475] eta: 0:01:09 time: 0.0732 data_time: 0.0533 memory: 564 2022/07/31 14:21:08 - mmengine - INFO - Epoch(val) [18][1540/2475] eta: 0:01:21 time: 0.0874 data_time: 0.0701 memory: 564 2022/07/31 14:21:10 - mmengine - INFO - Epoch(val) [18][1560/2475] eta: 0:01:13 time: 0.0807 data_time: 0.0603 memory: 564 2022/07/31 14:21:12 - mmengine - INFO - Epoch(val) [18][1580/2475] eta: 0:01:15 time: 0.0838 data_time: 0.0636 memory: 564 2022/07/31 14:21:13 - mmengine - INFO - Epoch(val) [18][1600/2475] eta: 0:00:57 time: 0.0658 data_time: 0.0439 memory: 564 2022/07/31 14:21:15 - mmengine - INFO - Epoch(val) [18][1620/2475] eta: 0:01:16 time: 0.0892 data_time: 0.0693 memory: 564 2022/07/31 14:21:17 - mmengine - INFO - Epoch(val) [18][1640/2475] eta: 0:01:21 time: 0.0970 data_time: 0.0791 memory: 564 2022/07/31 14:21:18 - mmengine - INFO - Epoch(val) [18][1660/2475] eta: 0:00:54 time: 0.0671 data_time: 0.0488 memory: 564 2022/07/31 14:21:20 - mmengine - INFO - Epoch(val) [18][1680/2475] eta: 0:01:30 time: 0.1141 data_time: 0.0858 memory: 564 2022/07/31 14:21:22 - mmengine - INFO - Epoch(val) [18][1700/2475] eta: 0:00:59 time: 0.0765 data_time: 0.0503 memory: 564 2022/07/31 14:21:24 - mmengine - INFO - Epoch(val) [18][1720/2475] eta: 0:01:20 time: 0.1067 data_time: 0.0896 memory: 564 2022/07/31 14:21:25 - mmengine - INFO - Epoch(val) [18][1740/2475] eta: 0:00:39 time: 0.0534 data_time: 0.0362 memory: 564 2022/07/31 14:21:27 - mmengine - INFO - Epoch(val) [18][1760/2475] eta: 0:01:08 time: 0.0959 data_time: 0.0787 memory: 564 2022/07/31 14:21:28 - mmengine - INFO - Epoch(val) [18][1780/2475] eta: 0:00:47 time: 0.0688 data_time: 0.0501 memory: 564 2022/07/31 14:21:30 - mmengine - INFO - Epoch(val) [18][1800/2475] eta: 0:01:06 time: 0.0980 data_time: 0.0801 memory: 564 2022/07/31 14:21:31 - mmengine - INFO - Epoch(val) [18][1820/2475] eta: 0:00:41 time: 0.0639 data_time: 0.0454 memory: 564 2022/07/31 14:21:33 - mmengine - INFO - Epoch(val) [18][1840/2475] eta: 0:00:53 time: 0.0845 data_time: 0.0668 memory: 564 2022/07/31 14:21:34 - mmengine - INFO - Epoch(val) [18][1860/2475] eta: 0:00:37 time: 0.0618 data_time: 0.0428 memory: 564 2022/07/31 14:21:36 - mmengine - INFO - Epoch(val) [18][1880/2475] eta: 0:00:53 time: 0.0903 data_time: 0.0726 memory: 564 2022/07/31 14:21:38 - mmengine - INFO - Epoch(val) [18][1900/2475] eta: 0:00:41 time: 0.0719 data_time: 0.0478 memory: 564 2022/07/31 14:21:39 - mmengine - INFO - Epoch(val) [18][1920/2475] eta: 0:00:41 time: 0.0750 data_time: 0.0566 memory: 564 2022/07/31 14:21:41 - mmengine - INFO - Epoch(val) [18][1940/2475] eta: 0:00:36 time: 0.0684 data_time: 0.0485 memory: 564 2022/07/31 14:21:42 - mmengine - INFO - Epoch(val) [18][1960/2475] eta: 0:00:46 time: 0.0903 data_time: 0.0726 memory: 564 2022/07/31 14:21:44 - mmengine - INFO - Epoch(val) [18][1980/2475] eta: 0:00:33 time: 0.0684 data_time: 0.0505 memory: 564 2022/07/31 14:21:45 - mmengine - INFO - Epoch(val) [18][2000/2475] eta: 0:00:40 time: 0.0858 data_time: 0.0668 memory: 564 2022/07/31 14:21:47 - mmengine - INFO - Epoch(val) [18][2020/2475] eta: 0:00:36 time: 0.0797 data_time: 0.0587 memory: 564 2022/07/31 14:21:48 - mmengine - INFO - Epoch(val) [18][2040/2475] eta: 0:00:30 time: 0.0691 data_time: 0.0489 memory: 564 2022/07/31 14:21:50 - mmengine - INFO - Epoch(val) [18][2060/2475] eta: 0:00:37 time: 0.0893 data_time: 0.0679 memory: 564 2022/07/31 14:21:52 - mmengine - INFO - Epoch(val) [18][2080/2475] eta: 0:00:37 time: 0.0945 data_time: 0.0746 memory: 564 2022/07/31 14:21:54 - mmengine - INFO - Epoch(val) [18][2100/2475] eta: 0:00:34 time: 0.0921 data_time: 0.0731 memory: 564 2022/07/31 14:21:55 - mmengine - INFO - Epoch(val) [18][2120/2475] eta: 0:00:24 time: 0.0690 data_time: 0.0497 memory: 564 2022/07/31 14:21:57 - mmengine - INFO - Epoch(val) [18][2140/2475] eta: 0:00:29 time: 0.0887 data_time: 0.0679 memory: 564 2022/07/31 14:21:58 - mmengine - INFO - Epoch(val) [18][2160/2475] eta: 0:00:21 time: 0.0681 data_time: 0.0491 memory: 564 2022/07/31 14:22:00 - mmengine - INFO - Epoch(val) [18][2180/2475] eta: 0:00:25 time: 0.0861 data_time: 0.0647 memory: 564 2022/07/31 14:22:02 - mmengine - INFO - Epoch(val) [18][2200/2475] eta: 0:00:21 time: 0.0766 data_time: 0.0585 memory: 564 2022/07/31 14:22:04 - mmengine - INFO - Epoch(val) [18][2220/2475] eta: 0:00:24 time: 0.0944 data_time: 0.0763 memory: 564 2022/07/31 14:22:05 - mmengine - INFO - Epoch(val) [18][2240/2475] eta: 0:00:17 time: 0.0740 data_time: 0.0547 memory: 564 2022/07/31 14:22:07 - mmengine - INFO - Epoch(val) [18][2260/2475] eta: 0:00:20 time: 0.0934 data_time: 0.0747 memory: 564 2022/07/31 14:22:08 - mmengine - INFO - Epoch(val) [18][2280/2475] eta: 0:00:12 time: 0.0635 data_time: 0.0455 memory: 564 2022/07/31 14:22:10 - mmengine - INFO - Epoch(val) [18][2300/2475] eta: 0:00:15 time: 0.0861 data_time: 0.0666 memory: 564 2022/07/31 14:22:11 - mmengine - INFO - Epoch(val) [18][2320/2475] eta: 0:00:10 time: 0.0669 data_time: 0.0461 memory: 564 2022/07/31 14:22:13 - mmengine - INFO - Epoch(val) [18][2340/2475] eta: 0:00:10 time: 0.0794 data_time: 0.0596 memory: 564 2022/07/31 14:22:14 - mmengine - INFO - Epoch(val) [18][2360/2475] eta: 0:00:09 time: 0.0804 data_time: 0.0630 memory: 564 2022/07/31 14:22:16 - mmengine - INFO - Epoch(val) [18][2380/2475] eta: 0:00:08 time: 0.0860 data_time: 0.0672 memory: 564 2022/07/31 14:22:18 - mmengine - INFO - Epoch(val) [18][2400/2475] eta: 0:00:05 time: 0.0678 data_time: 0.0493 memory: 564 2022/07/31 14:22:19 - mmengine - INFO - Epoch(val) [18][2420/2475] eta: 0:00:03 time: 0.0674 data_time: 0.0476 memory: 564 2022/07/31 14:22:20 - mmengine - INFO - Epoch(val) [18][2440/2475] eta: 0:00:01 time: 0.0300 data_time: 0.0121 memory: 564 2022/07/31 14:22:20 - mmengine - INFO - Epoch(val) [18][2460/2475] eta: 0:00:00 time: 0.0225 data_time: 0.0063 memory: 564 2022/07/31 14:22:22 - mmengine - INFO - Epoch(val) [18][2475/2475] acc/top1: 0.6560 acc/top5: 0.8656 acc/mean1: 0.6560 2022/07/31 14:22:48 - mmengine - INFO - Epoch(train) [19][20/2505] lr: 5.0000e-04 eta: 1 day, 3:21:03 time: 1.3308 data_time: 0.7910 memory: 22238 grad_norm: 20.1391 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.6037 loss: 1.6037 2022/07/31 14:23:06 - mmengine - INFO - Epoch(train) [19][40/2505] lr: 5.0000e-04 eta: 1 day, 3:20:38 time: 0.8596 data_time: 0.3020 memory: 22238 grad_norm: 20.2058 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9314 loss: 1.9314 2022/07/31 14:23:27 - mmengine - INFO - Epoch(train) [19][60/2505] lr: 5.0000e-04 eta: 1 day, 3:20:23 time: 1.0766 data_time: 0.5504 memory: 22238 grad_norm: 20.3621 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.4810 loss: 1.4810 2022/07/31 14:23:45 - mmengine - INFO - Epoch(train) [19][80/2505] lr: 5.0000e-04 eta: 1 day, 3:19:57 time: 0.8620 data_time: 0.4620 memory: 22238 grad_norm: 20.2184 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7072 loss: 1.7072 2022/07/31 14:24:07 - mmengine - INFO - Epoch(train) [19][100/2505] lr: 5.0000e-04 eta: 1 day, 3:19:44 time: 1.1151 data_time: 0.5736 memory: 22238 grad_norm: 20.7806 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7149 loss: 1.7149 2022/07/31 14:24:25 - mmengine - INFO - Epoch(train) [19][120/2505] lr: 5.0000e-04 eta: 1 day, 3:19:20 time: 0.8984 data_time: 0.4559 memory: 22238 grad_norm: 20.6527 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7938 loss: 1.7938 2022/07/31 14:24:46 - mmengine - INFO - Epoch(train) [19][140/2505] lr: 5.0000e-04 eta: 1 day, 3:19:05 time: 1.0889 data_time: 0.5976 memory: 22238 grad_norm: 19.9714 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7042 loss: 1.7042 2022/07/31 14:25:04 - mmengine - INFO - Epoch(train) [19][160/2505] lr: 5.0000e-04 eta: 1 day, 3:18:41 time: 0.8743 data_time: 0.4400 memory: 22238 grad_norm: 20.2672 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8397 loss: 1.8397 2022/07/31 14:25:25 - mmengine - INFO - Epoch(train) [19][180/2505] lr: 5.0000e-04 eta: 1 day, 3:18:25 time: 1.0730 data_time: 0.6628 memory: 22238 grad_norm: 18.7982 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8261 loss: 1.8261 2022/07/31 14:25:43 - mmengine - INFO - Epoch(train) [19][200/2505] lr: 5.0000e-04 eta: 1 day, 3:18:01 time: 0.8807 data_time: 0.4621 memory: 22238 grad_norm: 19.8710 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7051 loss: 1.7051 2022/07/31 14:26:06 - mmengine - INFO - Epoch(train) [19][220/2505] lr: 5.0000e-04 eta: 1 day, 3:17:48 time: 1.1343 data_time: 0.5710 memory: 22238 grad_norm: 20.9398 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8295 loss: 1.8295 2022/07/31 14:26:23 - mmengine - INFO - Epoch(train) [19][240/2505] lr: 5.0000e-04 eta: 1 day, 3:17:23 time: 0.8596 data_time: 0.2726 memory: 22238 grad_norm: 19.4993 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6187 loss: 1.6187 2022/07/31 14:26:45 - mmengine - INFO - Epoch(train) [19][260/2505] lr: 5.0000e-04 eta: 1 day, 3:17:08 time: 1.0827 data_time: 0.3269 memory: 22238 grad_norm: 20.4820 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8163 loss: 1.8163 2022/07/31 14:27:02 - mmengine - INFO - Epoch(train) [19][280/2505] lr: 5.0000e-04 eta: 1 day, 3:16:44 time: 0.8847 data_time: 0.3343 memory: 22238 grad_norm: 20.9324 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8625 loss: 1.8625 2022/07/31 14:27:24 - mmengine - INFO - Epoch(train) [19][300/2505] lr: 5.0000e-04 eta: 1 day, 3:16:28 time: 1.0808 data_time: 0.4084 memory: 22238 grad_norm: 19.9257 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8481 loss: 1.8481 2022/07/31 14:27:42 - mmengine - INFO - Epoch(train) [19][320/2505] lr: 5.0000e-04 eta: 1 day, 3:16:05 time: 0.8897 data_time: 0.2777 memory: 22238 grad_norm: 20.8654 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9457 loss: 1.9457 2022/07/31 14:28:04 - mmengine - INFO - Epoch(train) [19][340/2505] lr: 5.0000e-04 eta: 1 day, 3:15:50 time: 1.1044 data_time: 0.3513 memory: 22238 grad_norm: 21.0061 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8709 loss: 1.8709 2022/07/31 14:28:21 - mmengine - INFO - Epoch(train) [19][360/2505] lr: 5.0000e-04 eta: 1 day, 3:15:26 time: 0.8656 data_time: 0.2314 memory: 22238 grad_norm: 20.1321 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8187 loss: 1.8187 2022/07/31 14:28:42 - mmengine - INFO - Epoch(train) [19][380/2505] lr: 5.0000e-04 eta: 1 day, 3:15:09 time: 1.0582 data_time: 0.5016 memory: 22238 grad_norm: 20.3836 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7609 loss: 1.7609 2022/07/31 14:29:00 - mmengine - INFO - Epoch(train) [19][400/2505] lr: 5.0000e-04 eta: 1 day, 3:14:44 time: 0.8652 data_time: 0.4725 memory: 22238 grad_norm: 20.0250 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5925 loss: 1.5925 2022/07/31 14:29:22 - mmengine - INFO - Epoch(train) [19][420/2505] lr: 5.0000e-04 eta: 1 day, 3:14:31 time: 1.1359 data_time: 0.6434 memory: 22238 grad_norm: 21.2662 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.0318 loss: 2.0318 2022/07/31 14:29:40 - mmengine - INFO - Epoch(train) [19][440/2505] lr: 5.0000e-04 eta: 1 day, 3:14:06 time: 0.8599 data_time: 0.3957 memory: 22238 grad_norm: 20.6003 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.8610 loss: 1.8610 2022/07/31 14:30:02 - mmengine - INFO - Epoch(train) [19][460/2505] lr: 5.0000e-04 eta: 1 day, 3:13:52 time: 1.1102 data_time: 0.5268 memory: 22238 grad_norm: 20.7766 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8521 loss: 1.8521 2022/07/31 14:30:20 - mmengine - INFO - Epoch(train) [19][480/2505] lr: 5.0000e-04 eta: 1 day, 3:13:29 time: 0.8888 data_time: 0.3494 memory: 22238 grad_norm: 20.0818 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7934 loss: 1.7934 2022/07/31 14:30:42 - mmengine - INFO - Epoch(train) [19][500/2505] lr: 5.0000e-04 eta: 1 day, 3:13:14 time: 1.1013 data_time: 0.6449 memory: 22238 grad_norm: 20.0618 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4769 loss: 1.4769 2022/07/31 14:30:59 - mmengine - INFO - Epoch(train) [19][520/2505] lr: 5.0000e-04 eta: 1 day, 3:12:49 time: 0.8684 data_time: 0.4788 memory: 22238 grad_norm: 20.4540 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8713 loss: 1.8713 2022/07/31 14:31:21 - mmengine - INFO - Epoch(train) [19][540/2505] lr: 5.0000e-04 eta: 1 day, 3:12:35 time: 1.1083 data_time: 0.6273 memory: 22238 grad_norm: 21.1358 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6114 loss: 1.6114 2022/07/31 14:31:39 - mmengine - INFO - Epoch(train) [19][560/2505] lr: 5.0000e-04 eta: 1 day, 3:12:12 time: 0.8915 data_time: 0.2608 memory: 22238 grad_norm: 21.0368 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7415 loss: 1.7415 2022/07/31 14:32:02 - mmengine - INFO - Epoch(train) [19][580/2505] lr: 5.0000e-04 eta: 1 day, 3:11:59 time: 1.1571 data_time: 0.0724 memory: 22238 grad_norm: 20.2263 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8053 loss: 1.8053 2022/07/31 14:32:17 - mmengine - INFO - Epoch(train) [19][600/2505] lr: 5.0000e-04 eta: 1 day, 3:11:29 time: 0.7460 data_time: 0.0549 memory: 22238 grad_norm: 20.5108 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7429 loss: 1.7429 2022/07/31 14:32:38 - mmengine - INFO - Epoch(train) [19][620/2505] lr: 5.0000e-04 eta: 1 day, 3:11:14 time: 1.0703 data_time: 0.2598 memory: 22238 grad_norm: 20.3468 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9089 loss: 1.9089 2022/07/31 14:32:57 - mmengine - INFO - Epoch(train) [19][640/2505] lr: 5.0000e-04 eta: 1 day, 3:10:51 time: 0.9213 data_time: 0.1890 memory: 22238 grad_norm: 20.3222 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6829 loss: 1.6829 2022/07/31 14:33:17 - mmengine - INFO - Epoch(train) [19][660/2505] lr: 5.0000e-04 eta: 1 day, 3:10:33 time: 1.0085 data_time: 0.2075 memory: 22238 grad_norm: 20.4514 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8039 loss: 1.8039 2022/07/31 14:33:37 - mmengine - INFO - Epoch(train) [19][680/2505] lr: 5.0000e-04 eta: 1 day, 3:10:14 time: 0.9994 data_time: 0.1399 memory: 22238 grad_norm: 19.7195 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5258 loss: 1.5258 2022/07/31 14:33:56 - mmengine - INFO - Epoch(train) [19][700/2505] lr: 5.0000e-04 eta: 1 day, 3:09:52 time: 0.9410 data_time: 0.1141 memory: 22238 grad_norm: 20.5615 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6601 loss: 1.6601 2022/07/31 14:34:16 - mmengine - INFO - Epoch(train) [19][720/2505] lr: 5.0000e-04 eta: 1 day, 3:09:33 time: 0.9858 data_time: 0.1108 memory: 22238 grad_norm: 20.6886 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7157 loss: 1.7157 2022/07/31 14:34:36 - mmengine - INFO - Epoch(train) [19][740/2505] lr: 5.0000e-04 eta: 1 day, 3:09:14 time: 0.9958 data_time: 0.1930 memory: 22238 grad_norm: 20.1149 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.8301 loss: 1.8301 2022/07/31 14:34:55 - mmengine - INFO - Epoch(train) [19][760/2505] lr: 5.0000e-04 eta: 1 day, 3:08:53 time: 0.9515 data_time: 0.1619 memory: 22238 grad_norm: 20.8300 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9425 loss: 1.9425 2022/07/31 14:35:15 - mmengine - INFO - Epoch(train) [19][780/2505] lr: 5.0000e-04 eta: 1 day, 3:08:36 time: 1.0401 data_time: 0.2051 memory: 22238 grad_norm: 20.7813 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9990 loss: 1.9990 2022/07/31 14:35:34 - mmengine - INFO - Epoch(train) [19][800/2505] lr: 5.0000e-04 eta: 1 day, 3:08:14 time: 0.9448 data_time: 0.1762 memory: 22238 grad_norm: 21.1272 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7517 loss: 1.7517 2022/07/31 14:35:56 - mmengine - INFO - Epoch(train) [19][820/2505] lr: 5.0000e-04 eta: 1 day, 3:07:59 time: 1.0815 data_time: 0.2153 memory: 22238 grad_norm: 20.9890 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7329 loss: 1.7329 2022/07/31 14:36:14 - mmengine - INFO - Epoch(train) [19][840/2505] lr: 5.0000e-04 eta: 1 day, 3:07:35 time: 0.8917 data_time: 0.1934 memory: 22238 grad_norm: 19.5720 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8181 loss: 1.8181 2022/07/31 14:36:35 - mmengine - INFO - Epoch(train) [19][860/2505] lr: 5.0000e-04 eta: 1 day, 3:07:19 time: 1.0666 data_time: 0.2491 memory: 22238 grad_norm: 20.4330 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5436 loss: 1.5436 2022/07/31 14:36:52 - mmengine - INFO - Epoch(train) [19][880/2505] lr: 5.0000e-04 eta: 1 day, 3:06:54 time: 0.8575 data_time: 0.2411 memory: 22238 grad_norm: 19.6204 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8448 loss: 1.8448 2022/07/31 14:37:14 - mmengine - INFO - Epoch(train) [19][900/2505] lr: 5.0000e-04 eta: 1 day, 3:06:40 time: 1.1109 data_time: 0.3544 memory: 22238 grad_norm: 20.1540 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6022 loss: 1.6022 2022/07/31 14:37:23 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 14:37:31 - mmengine - INFO - Epoch(train) [19][920/2505] lr: 5.0000e-04 eta: 1 day, 3:06:15 time: 0.8560 data_time: 0.1244 memory: 22238 grad_norm: 19.9030 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6886 loss: 1.6886 2022/07/31 14:37:54 - mmengine - INFO - Epoch(train) [19][940/2505] lr: 5.0000e-04 eta: 1 day, 3:06:00 time: 1.1040 data_time: 0.2175 memory: 22238 grad_norm: 20.5339 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1820 loss: 2.1820 2022/07/31 14:38:11 - mmengine - INFO - Epoch(train) [19][960/2505] lr: 5.0000e-04 eta: 1 day, 3:05:36 time: 0.8631 data_time: 0.1543 memory: 22238 grad_norm: 19.3594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5250 loss: 1.5250 2022/07/31 14:38:34 - mmengine - INFO - Epoch(train) [19][980/2505] lr: 5.0000e-04 eta: 1 day, 3:05:23 time: 1.1507 data_time: 0.1382 memory: 22238 grad_norm: 20.5038 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9044 loss: 1.9044 2022/07/31 14:38:50 - mmengine - INFO - Epoch(train) [19][1000/2505] lr: 5.0000e-04 eta: 1 day, 3:04:56 time: 0.8088 data_time: 0.0846 memory: 22238 grad_norm: 20.9125 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8972 loss: 1.8972 2022/07/31 14:39:12 - mmengine - INFO - Epoch(train) [19][1020/2505] lr: 5.0000e-04 eta: 1 day, 3:04:40 time: 1.0731 data_time: 0.0882 memory: 22238 grad_norm: 20.5801 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8201 loss: 1.8201 2022/07/31 14:39:28 - mmengine - INFO - Epoch(train) [19][1040/2505] lr: 5.0000e-04 eta: 1 day, 3:04:15 time: 0.8431 data_time: 0.1634 memory: 22238 grad_norm: 20.1832 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8540 loss: 1.8540 2022/07/31 14:39:50 - mmengine - INFO - Epoch(train) [19][1060/2505] lr: 5.0000e-04 eta: 1 day, 3:04:00 time: 1.0934 data_time: 0.3623 memory: 22238 grad_norm: 19.9661 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7376 loss: 1.7376 2022/07/31 14:40:08 - mmengine - INFO - Epoch(train) [19][1080/2505] lr: 5.0000e-04 eta: 1 day, 3:03:36 time: 0.8917 data_time: 0.2610 memory: 22238 grad_norm: 20.7642 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7614 loss: 1.7614 2022/07/31 14:40:30 - mmengine - INFO - Epoch(train) [19][1100/2505] lr: 5.0000e-04 eta: 1 day, 3:03:21 time: 1.0905 data_time: 0.3539 memory: 22238 grad_norm: 19.8001 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7641 loss: 1.7641 2022/07/31 14:40:48 - mmengine - INFO - Epoch(train) [19][1120/2505] lr: 5.0000e-04 eta: 1 day, 3:02:58 time: 0.8999 data_time: 0.2573 memory: 22238 grad_norm: 19.9059 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7484 loss: 1.7484 2022/07/31 14:41:10 - mmengine - INFO - Epoch(train) [19][1140/2505] lr: 5.0000e-04 eta: 1 day, 3:02:43 time: 1.1013 data_time: 0.3293 memory: 22238 grad_norm: 20.5716 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6663 loss: 1.6663 2022/07/31 14:41:27 - mmengine - INFO - Epoch(train) [19][1160/2505] lr: 5.0000e-04 eta: 1 day, 3:02:19 time: 0.8716 data_time: 0.1882 memory: 22238 grad_norm: 20.1174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7125 loss: 1.7125 2022/07/31 14:41:48 - mmengine - INFO - Epoch(train) [19][1180/2505] lr: 5.0000e-04 eta: 1 day, 3:02:02 time: 1.0511 data_time: 0.2643 memory: 22238 grad_norm: 20.6451 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.4837 loss: 1.4837 2022/07/31 14:42:06 - mmengine - INFO - Epoch(train) [19][1200/2505] lr: 5.0000e-04 eta: 1 day, 3:01:38 time: 0.8769 data_time: 0.1700 memory: 22238 grad_norm: 20.3772 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7310 loss: 1.7310 2022/07/31 14:42:28 - mmengine - INFO - Epoch(train) [19][1220/2505] lr: 5.0000e-04 eta: 1 day, 3:01:23 time: 1.0854 data_time: 0.3537 memory: 22238 grad_norm: 19.8043 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7243 loss: 1.7243 2022/07/31 14:42:45 - mmengine - INFO - Epoch(train) [19][1240/2505] lr: 5.0000e-04 eta: 1 day, 3:00:59 time: 0.8901 data_time: 0.2476 memory: 22238 grad_norm: 19.8447 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7944 loss: 1.7944 2022/07/31 14:43:07 - mmengine - INFO - Epoch(train) [19][1260/2505] lr: 5.0000e-04 eta: 1 day, 3:00:44 time: 1.0918 data_time: 0.2774 memory: 22238 grad_norm: 20.1450 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5060 loss: 1.5060 2022/07/31 14:43:25 - mmengine - INFO - Epoch(train) [19][1280/2505] lr: 5.0000e-04 eta: 1 day, 3:00:20 time: 0.8837 data_time: 0.1786 memory: 22238 grad_norm: 20.4501 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5815 loss: 1.5815 2022/07/31 14:43:47 - mmengine - INFO - Epoch(train) [19][1300/2505] lr: 5.0000e-04 eta: 1 day, 3:00:06 time: 1.1225 data_time: 0.2111 memory: 22238 grad_norm: 20.9344 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6959 loss: 1.6959 2022/07/31 14:44:05 - mmengine - INFO - Epoch(train) [19][1320/2505] lr: 5.0000e-04 eta: 1 day, 2:59:41 time: 0.8562 data_time: 0.0578 memory: 22238 grad_norm: 20.2904 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.7282 loss: 1.7282 2022/07/31 14:44:27 - mmengine - INFO - Epoch(train) [19][1340/2505] lr: 5.0000e-04 eta: 1 day, 2:59:28 time: 1.1377 data_time: 0.1192 memory: 22238 grad_norm: 20.2072 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8156 loss: 1.8156 2022/07/31 14:44:43 - mmengine - INFO - Epoch(train) [19][1360/2505] lr: 5.0000e-04 eta: 1 day, 2:59:01 time: 0.8004 data_time: 0.0411 memory: 22238 grad_norm: 20.1702 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6652 loss: 1.6652 2022/07/31 14:45:06 - mmengine - INFO - Epoch(train) [19][1380/2505] lr: 5.0000e-04 eta: 1 day, 2:58:47 time: 1.1196 data_time: 0.1413 memory: 22238 grad_norm: 20.8262 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7658 loss: 1.7658 2022/07/31 14:45:23 - mmengine - INFO - Epoch(train) [19][1400/2505] lr: 5.0000e-04 eta: 1 day, 2:58:22 time: 0.8441 data_time: 0.0785 memory: 22238 grad_norm: 19.5109 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7129 loss: 1.7129 2022/07/31 14:45:44 - mmengine - INFO - Epoch(train) [19][1420/2505] lr: 5.0000e-04 eta: 1 day, 2:58:06 time: 1.0756 data_time: 0.0978 memory: 22238 grad_norm: 20.8786 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6133 loss: 1.6133 2022/07/31 14:46:01 - mmengine - INFO - Epoch(train) [19][1440/2505] lr: 5.0000e-04 eta: 1 day, 2:57:41 time: 0.8538 data_time: 0.1429 memory: 22238 grad_norm: 20.6264 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5505 loss: 1.5505 2022/07/31 14:46:24 - mmengine - INFO - Epoch(train) [19][1460/2505] lr: 5.0000e-04 eta: 1 day, 2:57:27 time: 1.1258 data_time: 0.3171 memory: 22238 grad_norm: 19.5343 top1_acc: 0.4167 top5_acc: 1.0000 loss_cls: 1.8676 loss: 1.8676 2022/07/31 14:46:41 - mmengine - INFO - Epoch(train) [19][1480/2505] lr: 5.0000e-04 eta: 1 day, 2:57:02 time: 0.8537 data_time: 0.1262 memory: 22238 grad_norm: 20.8394 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.7078 loss: 1.7078 2022/07/31 14:47:03 - mmengine - INFO - Epoch(train) [19][1500/2505] lr: 5.0000e-04 eta: 1 day, 2:56:48 time: 1.1242 data_time: 0.2163 memory: 22238 grad_norm: 20.1600 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7052 loss: 1.7052 2022/07/31 14:47:20 - mmengine - INFO - Epoch(train) [19][1520/2505] lr: 5.0000e-04 eta: 1 day, 2:56:22 time: 0.8317 data_time: 0.0972 memory: 22238 grad_norm: 19.7957 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9120 loss: 1.9120 2022/07/31 14:47:41 - mmengine - INFO - Epoch(train) [19][1540/2505] lr: 5.0000e-04 eta: 1 day, 2:56:06 time: 1.0671 data_time: 0.1807 memory: 22238 grad_norm: 20.3162 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5940 loss: 1.5940 2022/07/31 14:47:59 - mmengine - INFO - Epoch(train) [19][1560/2505] lr: 5.0000e-04 eta: 1 day, 2:55:42 time: 0.8716 data_time: 0.1609 memory: 22238 grad_norm: 19.9895 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9127 loss: 1.9127 2022/07/31 14:48:20 - mmengine - INFO - Epoch(train) [19][1580/2505] lr: 5.0000e-04 eta: 1 day, 2:55:25 time: 1.0624 data_time: 0.2993 memory: 22238 grad_norm: 20.8384 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8023 loss: 1.8023 2022/07/31 14:48:37 - mmengine - INFO - Epoch(train) [19][1600/2505] lr: 5.0000e-04 eta: 1 day, 2:55:00 time: 0.8498 data_time: 0.3558 memory: 22238 grad_norm: 20.4232 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7235 loss: 1.7235 2022/07/31 14:48:59 - mmengine - INFO - Epoch(train) [19][1620/2505] lr: 5.0000e-04 eta: 1 day, 2:54:46 time: 1.1054 data_time: 0.5564 memory: 22238 grad_norm: 18.9107 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6434 loss: 1.6434 2022/07/31 14:49:16 - mmengine - INFO - Epoch(train) [19][1640/2505] lr: 5.0000e-04 eta: 1 day, 2:54:20 time: 0.8426 data_time: 0.3550 memory: 22238 grad_norm: 21.0073 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9144 loss: 1.9144 2022/07/31 14:49:38 - mmengine - INFO - Epoch(train) [19][1660/2505] lr: 5.0000e-04 eta: 1 day, 2:54:05 time: 1.0939 data_time: 0.5589 memory: 22238 grad_norm: 20.8594 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.6941 loss: 1.6941 2022/07/31 14:49:55 - mmengine - INFO - Epoch(train) [19][1680/2505] lr: 5.0000e-04 eta: 1 day, 2:53:41 time: 0.8663 data_time: 0.3260 memory: 22238 grad_norm: 20.7437 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.9272 loss: 1.9272 2022/07/31 14:50:18 - mmengine - INFO - Epoch(train) [19][1700/2505] lr: 5.0000e-04 eta: 1 day, 2:53:27 time: 1.1351 data_time: 0.5307 memory: 22238 grad_norm: 20.3516 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.8077 loss: 1.8077 2022/07/31 14:50:35 - mmengine - INFO - Epoch(train) [19][1720/2505] lr: 5.0000e-04 eta: 1 day, 2:53:02 time: 0.8562 data_time: 0.3593 memory: 22238 grad_norm: 20.2478 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7491 loss: 1.7491 2022/07/31 14:50:56 - mmengine - INFO - Epoch(train) [19][1740/2505] lr: 5.0000e-04 eta: 1 day, 2:52:45 time: 1.0354 data_time: 0.5426 memory: 22238 grad_norm: 20.4789 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9233 loss: 1.9233 2022/07/31 14:51:13 - mmengine - INFO - Epoch(train) [19][1760/2505] lr: 5.0000e-04 eta: 1 day, 2:52:21 time: 0.8856 data_time: 0.3948 memory: 22238 grad_norm: 19.8972 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7071 loss: 1.7071 2022/07/31 14:51:35 - mmengine - INFO - Epoch(train) [19][1780/2505] lr: 5.0000e-04 eta: 1 day, 2:52:06 time: 1.0871 data_time: 0.4833 memory: 22238 grad_norm: 20.6576 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.6214 loss: 1.6214 2022/07/31 14:51:52 - mmengine - INFO - Epoch(train) [19][1800/2505] lr: 5.0000e-04 eta: 1 day, 2:51:41 time: 0.8608 data_time: 0.3329 memory: 22238 grad_norm: 19.9380 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6398 loss: 1.6398 2022/07/31 14:52:15 - mmengine - INFO - Epoch(train) [19][1820/2505] lr: 5.0000e-04 eta: 1 day, 2:51:28 time: 1.1382 data_time: 0.5417 memory: 22238 grad_norm: 20.4732 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7680 loss: 1.7680 2022/07/31 14:52:33 - mmengine - INFO - Epoch(train) [19][1840/2505] lr: 5.0000e-04 eta: 1 day, 2:51:04 time: 0.8879 data_time: 0.2084 memory: 22238 grad_norm: 19.9306 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7626 loss: 1.7626 2022/07/31 14:52:55 - mmengine - INFO - Epoch(train) [19][1860/2505] lr: 5.0000e-04 eta: 1 day, 2:50:50 time: 1.1167 data_time: 0.1772 memory: 22238 grad_norm: 20.4054 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9731 loss: 1.9731 2022/07/31 14:53:12 - mmengine - INFO - Epoch(train) [19][1880/2505] lr: 5.0000e-04 eta: 1 day, 2:50:25 time: 0.8496 data_time: 0.1192 memory: 22238 grad_norm: 20.5959 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7237 loss: 1.7237 2022/07/31 14:53:35 - mmengine - INFO - Epoch(train) [19][1900/2505] lr: 5.0000e-04 eta: 1 day, 2:50:11 time: 1.1201 data_time: 0.1091 memory: 22238 grad_norm: 20.4657 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5948 loss: 1.5948 2022/07/31 14:53:43 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 14:53:51 - mmengine - INFO - Epoch(train) [19][1920/2505] lr: 5.0000e-04 eta: 1 day, 2:49:45 time: 0.8275 data_time: 0.0588 memory: 22238 grad_norm: 22.0951 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5485 loss: 1.5485 2022/07/31 14:54:12 - mmengine - INFO - Epoch(train) [19][1940/2505] lr: 5.0000e-04 eta: 1 day, 2:49:28 time: 1.0369 data_time: 0.0526 memory: 22238 grad_norm: 20.7282 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5995 loss: 1.5995 2022/07/31 14:54:29 - mmengine - INFO - Epoch(train) [19][1960/2505] lr: 5.0000e-04 eta: 1 day, 2:49:03 time: 0.8675 data_time: 0.0682 memory: 22238 grad_norm: 20.8086 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8920 loss: 1.8920 2022/07/31 14:54:51 - mmengine - INFO - Epoch(train) [19][1980/2505] lr: 5.0000e-04 eta: 1 day, 2:48:49 time: 1.1087 data_time: 0.0285 memory: 22238 grad_norm: 20.0877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6896 loss: 1.6896 2022/07/31 14:55:09 - mmengine - INFO - Epoch(train) [19][2000/2505] lr: 5.0000e-04 eta: 1 day, 2:48:25 time: 0.8862 data_time: 0.0958 memory: 22238 grad_norm: 19.6695 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7649 loss: 1.7649 2022/07/31 14:55:31 - mmengine - INFO - Epoch(train) [19][2020/2505] lr: 5.0000e-04 eta: 1 day, 2:48:11 time: 1.1047 data_time: 0.0937 memory: 22238 grad_norm: 19.7481 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6599 loss: 1.6599 2022/07/31 14:55:49 - mmengine - INFO - Epoch(train) [19][2040/2505] lr: 5.0000e-04 eta: 1 day, 2:47:47 time: 0.8789 data_time: 0.0631 memory: 22238 grad_norm: 19.7777 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6594 loss: 1.6594 2022/07/31 14:56:11 - mmengine - INFO - Epoch(train) [19][2060/2505] lr: 5.0000e-04 eta: 1 day, 2:47:32 time: 1.1134 data_time: 0.0378 memory: 22238 grad_norm: 19.5128 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5989 loss: 1.5989 2022/07/31 14:56:29 - mmengine - INFO - Epoch(train) [19][2080/2505] lr: 5.0000e-04 eta: 1 day, 2:47:08 time: 0.8756 data_time: 0.0305 memory: 22238 grad_norm: 21.3144 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6261 loss: 1.6261 2022/07/31 14:56:50 - mmengine - INFO - Epoch(train) [19][2100/2505] lr: 5.0000e-04 eta: 1 day, 2:46:52 time: 1.0539 data_time: 0.0329 memory: 22238 grad_norm: 19.5278 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7257 loss: 1.7257 2022/07/31 14:57:07 - mmengine - INFO - Epoch(train) [19][2120/2505] lr: 5.0000e-04 eta: 1 day, 2:46:28 time: 0.8779 data_time: 0.0324 memory: 22238 grad_norm: 20.5326 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5238 loss: 1.5238 2022/07/31 14:57:29 - mmengine - INFO - Epoch(train) [19][2140/2505] lr: 5.0000e-04 eta: 1 day, 2:46:12 time: 1.0788 data_time: 0.0286 memory: 22238 grad_norm: 19.8272 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5724 loss: 1.5724 2022/07/31 14:57:46 - mmengine - INFO - Epoch(train) [19][2160/2505] lr: 5.0000e-04 eta: 1 day, 2:45:47 time: 0.8613 data_time: 0.0280 memory: 22238 grad_norm: 20.2211 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8848 loss: 1.8848 2022/07/31 14:58:08 - mmengine - INFO - Epoch(train) [19][2180/2505] lr: 5.0000e-04 eta: 1 day, 2:45:33 time: 1.1114 data_time: 0.0319 memory: 22238 grad_norm: 20.1238 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9649 loss: 1.9649 2022/07/31 14:58:26 - mmengine - INFO - Epoch(train) [19][2200/2505] lr: 5.0000e-04 eta: 1 day, 2:45:09 time: 0.8739 data_time: 0.0284 memory: 22238 grad_norm: 20.0865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6127 loss: 1.6127 2022/07/31 14:58:49 - mmengine - INFO - Epoch(train) [19][2220/2505] lr: 5.0000e-04 eta: 1 day, 2:44:55 time: 1.1311 data_time: 0.0339 memory: 22238 grad_norm: 20.1173 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.9813 loss: 1.9813 2022/07/31 14:59:05 - mmengine - INFO - Epoch(train) [19][2240/2505] lr: 5.0000e-04 eta: 1 day, 2:44:29 time: 0.8190 data_time: 0.0340 memory: 22238 grad_norm: 20.8740 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8755 loss: 1.8755 2022/07/31 14:59:26 - mmengine - INFO - Epoch(train) [19][2260/2505] lr: 5.0000e-04 eta: 1 day, 2:44:13 time: 1.0751 data_time: 0.0333 memory: 22238 grad_norm: 20.5575 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7017 loss: 1.7017 2022/07/31 14:59:45 - mmengine - INFO - Epoch(train) [19][2280/2505] lr: 5.0000e-04 eta: 1 day, 2:43:50 time: 0.9063 data_time: 0.0288 memory: 22238 grad_norm: 19.3714 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5230 loss: 1.5230 2022/07/31 15:00:06 - mmengine - INFO - Epoch(train) [19][2300/2505] lr: 5.0000e-04 eta: 1 day, 2:43:35 time: 1.0869 data_time: 0.0337 memory: 22238 grad_norm: 19.4702 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7238 loss: 1.7238 2022/07/31 15:00:24 - mmengine - INFO - Epoch(train) [19][2320/2505] lr: 5.0000e-04 eta: 1 day, 2:43:12 time: 0.9064 data_time: 0.0288 memory: 22238 grad_norm: 19.6537 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8068 loss: 1.8068 2022/07/31 15:00:45 - mmengine - INFO - Epoch(train) [19][2340/2505] lr: 5.0000e-04 eta: 1 day, 2:42:55 time: 1.0401 data_time: 0.0345 memory: 22238 grad_norm: 21.2342 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6737 loss: 1.6737 2022/07/31 15:01:03 - mmengine - INFO - Epoch(train) [19][2360/2505] lr: 5.0000e-04 eta: 1 day, 2:42:32 time: 0.9027 data_time: 0.0292 memory: 22238 grad_norm: 20.4361 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6885 loss: 1.6885 2022/07/31 15:01:24 - mmengine - INFO - Epoch(train) [19][2380/2505] lr: 5.0000e-04 eta: 1 day, 2:42:15 time: 1.0451 data_time: 0.0296 memory: 22238 grad_norm: 20.2141 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6628 loss: 1.6628 2022/07/31 15:01:42 - mmengine - INFO - Epoch(train) [19][2400/2505] lr: 5.0000e-04 eta: 1 day, 2:41:52 time: 0.9176 data_time: 0.0332 memory: 22238 grad_norm: 20.3313 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7353 loss: 1.7353 2022/07/31 15:02:03 - mmengine - INFO - Epoch(train) [19][2420/2505] lr: 5.0000e-04 eta: 1 day, 2:41:34 time: 1.0203 data_time: 0.0294 memory: 22238 grad_norm: 20.3293 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6902 loss: 1.6902 2022/07/31 15:02:21 - mmengine - INFO - Epoch(train) [19][2440/2505] lr: 5.0000e-04 eta: 1 day, 2:41:10 time: 0.8859 data_time: 0.0359 memory: 22238 grad_norm: 20.1554 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8637 loss: 1.8637 2022/07/31 15:02:42 - mmengine - INFO - Epoch(train) [19][2460/2505] lr: 5.0000e-04 eta: 1 day, 2:40:54 time: 1.0695 data_time: 0.0294 memory: 22238 grad_norm: 20.1584 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9494 loss: 1.9494 2022/07/31 15:03:00 - mmengine - INFO - Epoch(train) [19][2480/2505] lr: 5.0000e-04 eta: 1 day, 2:40:31 time: 0.8899 data_time: 0.0277 memory: 22238 grad_norm: 19.6790 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7520 loss: 1.7520 2022/07/31 15:03:18 - mmengine - INFO - Epoch(train) [19][2500/2505] lr: 5.0000e-04 eta: 1 day, 2:40:08 time: 0.8963 data_time: 0.0295 memory: 22238 grad_norm: 20.2869 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9635 loss: 1.9635 2022/07/31 15:03:20 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 15:03:20 - mmengine - INFO - Epoch(train) [19][2505/2505] lr: 5.0000e-04 eta: 1 day, 2:40:08 time: 0.6439 data_time: 0.0201 memory: 22238 grad_norm: 20.1360 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.7493 loss: 1.7493 2022/07/31 15:03:45 - mmengine - INFO - Epoch(train) [20][20/2505] lr: 5.0000e-04 eta: 1 day, 2:39:45 time: 1.2801 data_time: 0.8832 memory: 22238 grad_norm: 20.6764 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8072 loss: 1.8072 2022/07/31 15:04:03 - mmengine - INFO - Epoch(train) [20][40/2505] lr: 5.0000e-04 eta: 1 day, 2:39:21 time: 0.8657 data_time: 0.4790 memory: 22238 grad_norm: 21.5867 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7442 loss: 1.7442 2022/07/31 15:04:25 - mmengine - INFO - Epoch(train) [20][60/2505] lr: 5.0000e-04 eta: 1 day, 2:39:08 time: 1.1383 data_time: 0.5875 memory: 22238 grad_norm: 19.7901 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7489 loss: 1.7489 2022/07/31 15:04:43 - mmengine - INFO - Epoch(train) [20][80/2505] lr: 5.0000e-04 eta: 1 day, 2:38:43 time: 0.8573 data_time: 0.3877 memory: 22238 grad_norm: 20.2704 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8370 loss: 1.8370 2022/07/31 15:05:07 - mmengine - INFO - Epoch(train) [20][100/2505] lr: 5.0000e-04 eta: 1 day, 2:38:32 time: 1.1999 data_time: 0.5644 memory: 22238 grad_norm: 19.9420 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.0298 loss: 2.0298 2022/07/31 15:05:23 - mmengine - INFO - Epoch(train) [20][120/2505] lr: 5.0000e-04 eta: 1 day, 2:38:06 time: 0.8342 data_time: 0.3176 memory: 22238 grad_norm: 19.7762 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6214 loss: 1.6214 2022/07/31 15:05:46 - mmengine - INFO - Epoch(train) [20][140/2505] lr: 5.0000e-04 eta: 1 day, 2:37:52 time: 1.1251 data_time: 0.3291 memory: 22238 grad_norm: 19.5986 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6328 loss: 1.6328 2022/07/31 15:06:03 - mmengine - INFO - Epoch(train) [20][160/2505] lr: 5.0000e-04 eta: 1 day, 2:37:28 time: 0.8607 data_time: 0.2271 memory: 22238 grad_norm: 20.4550 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7813 loss: 1.7813 2022/07/31 15:06:24 - mmengine - INFO - Epoch(train) [20][180/2505] lr: 5.0000e-04 eta: 1 day, 2:37:12 time: 1.0659 data_time: 0.3930 memory: 22238 grad_norm: 19.8413 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5840 loss: 1.5840 2022/07/31 15:06:42 - mmengine - INFO - Epoch(train) [20][200/2505] lr: 5.0000e-04 eta: 1 day, 2:36:47 time: 0.8631 data_time: 0.2230 memory: 22238 grad_norm: 19.9936 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7755 loss: 1.7755 2022/07/31 15:07:04 - mmengine - INFO - Epoch(train) [20][220/2505] lr: 5.0000e-04 eta: 1 day, 2:36:33 time: 1.1199 data_time: 0.2512 memory: 22238 grad_norm: 20.2097 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7242 loss: 1.7242 2022/07/31 15:07:21 - mmengine - INFO - Epoch(train) [20][240/2505] lr: 5.0000e-04 eta: 1 day, 2:36:08 time: 0.8567 data_time: 0.1650 memory: 22238 grad_norm: 20.4241 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9005 loss: 1.9005 2022/07/31 15:07:43 - mmengine - INFO - Epoch(train) [20][260/2505] lr: 5.0000e-04 eta: 1 day, 2:35:54 time: 1.1085 data_time: 0.2055 memory: 22238 grad_norm: 19.5653 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6268 loss: 1.6268 2022/07/31 15:08:00 - mmengine - INFO - Epoch(train) [20][280/2505] lr: 5.0000e-04 eta: 1 day, 2:35:29 time: 0.8578 data_time: 0.0659 memory: 22238 grad_norm: 20.2471 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9093 loss: 1.9093 2022/07/31 15:08:23 - mmengine - INFO - Epoch(train) [20][300/2505] lr: 5.0000e-04 eta: 1 day, 2:35:14 time: 1.1112 data_time: 0.1439 memory: 22238 grad_norm: 20.3801 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7060 loss: 1.7060 2022/07/31 15:08:40 - mmengine - INFO - Epoch(train) [20][320/2505] lr: 5.0000e-04 eta: 1 day, 2:34:49 time: 0.8505 data_time: 0.1122 memory: 22238 grad_norm: 20.3892 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6723 loss: 1.6723 2022/07/31 15:09:01 - mmengine - INFO - Epoch(train) [20][340/2505] lr: 5.0000e-04 eta: 1 day, 2:34:34 time: 1.0801 data_time: 0.2613 memory: 22238 grad_norm: 19.7409 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6452 loss: 1.6452 2022/07/31 15:09:19 - mmengine - INFO - Epoch(train) [20][360/2505] lr: 5.0000e-04 eta: 1 day, 2:34:11 time: 0.9053 data_time: 0.1600 memory: 22238 grad_norm: 20.2045 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7703 loss: 1.7703 2022/07/31 15:09:41 - mmengine - INFO - Epoch(train) [20][380/2505] lr: 5.0000e-04 eta: 1 day, 2:33:55 time: 1.0639 data_time: 0.1819 memory: 22238 grad_norm: 20.8629 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7837 loss: 1.7837 2022/07/31 15:09:58 - mmengine - INFO - Epoch(train) [20][400/2505] lr: 5.0000e-04 eta: 1 day, 2:33:31 time: 0.8889 data_time: 0.1169 memory: 22238 grad_norm: 20.3807 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0451 loss: 2.0451 2022/07/31 15:10:06 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 15:10:21 - mmengine - INFO - Epoch(train) [20][420/2505] lr: 5.0000e-04 eta: 1 day, 2:33:17 time: 1.1180 data_time: 0.0747 memory: 22238 grad_norm: 19.9227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4581 loss: 1.4581 2022/07/31 15:10:39 - mmengine - INFO - Epoch(train) [20][440/2505] lr: 5.0000e-04 eta: 1 day, 2:32:53 time: 0.8873 data_time: 0.0775 memory: 22238 grad_norm: 20.4687 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6669 loss: 1.6669 2022/07/31 15:10:59 - mmengine - INFO - Epoch(train) [20][460/2505] lr: 5.0000e-04 eta: 1 day, 2:32:36 time: 1.0357 data_time: 0.1293 memory: 22238 grad_norm: 20.4633 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7773 loss: 1.7773 2022/07/31 15:11:17 - mmengine - INFO - Epoch(train) [20][480/2505] lr: 5.0000e-04 eta: 1 day, 2:32:11 time: 0.8632 data_time: 0.1584 memory: 22238 grad_norm: 19.7488 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6351 loss: 1.6351 2022/07/31 15:11:38 - mmengine - INFO - Epoch(train) [20][500/2505] lr: 5.0000e-04 eta: 1 day, 2:31:56 time: 1.0919 data_time: 0.2592 memory: 22238 grad_norm: 20.8251 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7975 loss: 1.7975 2022/07/31 15:11:56 - mmengine - INFO - Epoch(train) [20][520/2505] lr: 5.0000e-04 eta: 1 day, 2:31:32 time: 0.8736 data_time: 0.1533 memory: 22238 grad_norm: 20.4933 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7829 loss: 1.7829 2022/07/31 15:12:18 - mmengine - INFO - Epoch(train) [20][540/2505] lr: 5.0000e-04 eta: 1 day, 2:31:17 time: 1.0999 data_time: 0.0660 memory: 22238 grad_norm: 20.2195 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.6049 loss: 1.6049 2022/07/31 15:12:35 - mmengine - INFO - Epoch(train) [20][560/2505] lr: 5.0000e-04 eta: 1 day, 2:30:53 time: 0.8616 data_time: 0.0535 memory: 22238 grad_norm: 19.8383 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7721 loss: 1.7721 2022/07/31 15:12:57 - mmengine - INFO - Epoch(train) [20][580/2505] lr: 5.0000e-04 eta: 1 day, 2:30:37 time: 1.0849 data_time: 0.1247 memory: 22238 grad_norm: 20.4177 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9772 loss: 1.9772 2022/07/31 15:13:15 - mmengine - INFO - Epoch(train) [20][600/2505] lr: 5.0000e-04 eta: 1 day, 2:30:14 time: 0.8882 data_time: 0.1471 memory: 22238 grad_norm: 20.1455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8190 loss: 1.8190 2022/07/31 15:13:37 - mmengine - INFO - Epoch(train) [20][620/2505] lr: 5.0000e-04 eta: 1 day, 2:30:00 time: 1.1249 data_time: 0.1163 memory: 22238 grad_norm: 19.8358 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8399 loss: 1.8399 2022/07/31 15:13:54 - mmengine - INFO - Epoch(train) [20][640/2505] lr: 5.0000e-04 eta: 1 day, 2:29:34 time: 0.8302 data_time: 0.0740 memory: 22238 grad_norm: 20.1093 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0518 loss: 2.0518 2022/07/31 15:14:16 - mmengine - INFO - Epoch(train) [20][660/2505] lr: 5.0000e-04 eta: 1 day, 2:29:20 time: 1.1346 data_time: 0.1764 memory: 22238 grad_norm: 20.9138 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7194 loss: 1.7194 2022/07/31 15:14:33 - mmengine - INFO - Epoch(train) [20][680/2505] lr: 5.0000e-04 eta: 1 day, 2:28:56 time: 0.8553 data_time: 0.0342 memory: 22238 grad_norm: 20.3768 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7757 loss: 1.7757 2022/07/31 15:14:55 - mmengine - INFO - Epoch(train) [20][700/2505] lr: 5.0000e-04 eta: 1 day, 2:28:41 time: 1.0956 data_time: 0.0335 memory: 22238 grad_norm: 20.0943 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0050 loss: 2.0050 2022/07/31 15:15:13 - mmengine - INFO - Epoch(train) [20][720/2505] lr: 5.0000e-04 eta: 1 day, 2:28:17 time: 0.8864 data_time: 0.0290 memory: 22238 grad_norm: 19.9476 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5622 loss: 1.5622 2022/07/31 15:15:34 - mmengine - INFO - Epoch(train) [20][740/2505] lr: 5.0000e-04 eta: 1 day, 2:28:00 time: 1.0451 data_time: 0.0292 memory: 22238 grad_norm: 20.0070 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7852 loss: 1.7852 2022/07/31 15:15:52 - mmengine - INFO - Epoch(train) [20][760/2505] lr: 5.0000e-04 eta: 1 day, 2:27:36 time: 0.8879 data_time: 0.0307 memory: 22238 grad_norm: 20.5422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6067 loss: 1.6067 2022/07/31 15:16:13 - mmengine - INFO - Epoch(train) [20][780/2505] lr: 5.0000e-04 eta: 1 day, 2:27:21 time: 1.0859 data_time: 0.0302 memory: 22238 grad_norm: 19.9588 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7669 loss: 1.7669 2022/07/31 15:16:32 - mmengine - INFO - Epoch(train) [20][800/2505] lr: 5.0000e-04 eta: 1 day, 2:26:58 time: 0.9125 data_time: 0.0293 memory: 22238 grad_norm: 20.2034 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8322 loss: 1.8322 2022/07/31 15:16:54 - mmengine - INFO - Epoch(train) [20][820/2505] lr: 5.0000e-04 eta: 1 day, 2:26:44 time: 1.1080 data_time: 0.0310 memory: 22238 grad_norm: 19.0443 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6237 loss: 1.6237 2022/07/31 15:17:11 - mmengine - INFO - Epoch(train) [20][840/2505] lr: 5.0000e-04 eta: 1 day, 2:26:20 time: 0.8729 data_time: 0.0304 memory: 22238 grad_norm: 20.9076 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7472 loss: 1.7472 2022/07/31 15:17:33 - mmengine - INFO - Epoch(train) [20][860/2505] lr: 5.0000e-04 eta: 1 day, 2:26:04 time: 1.0836 data_time: 0.0285 memory: 22238 grad_norm: 20.9184 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8451 loss: 1.8451 2022/07/31 15:17:51 - mmengine - INFO - Epoch(train) [20][880/2505] lr: 5.0000e-04 eta: 1 day, 2:25:40 time: 0.8831 data_time: 0.0363 memory: 22238 grad_norm: 20.4369 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6360 loss: 1.6360 2022/07/31 15:18:11 - mmengine - INFO - Epoch(train) [20][900/2505] lr: 5.0000e-04 eta: 1 day, 2:25:22 time: 1.0224 data_time: 0.0296 memory: 22238 grad_norm: 19.6563 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8053 loss: 1.8053 2022/07/31 15:18:29 - mmengine - INFO - Epoch(train) [20][920/2505] lr: 5.0000e-04 eta: 1 day, 2:24:59 time: 0.8847 data_time: 0.0314 memory: 22238 grad_norm: 20.5385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7784 loss: 1.7784 2022/07/31 15:18:50 - mmengine - INFO - Epoch(train) [20][940/2505] lr: 5.0000e-04 eta: 1 day, 2:24:43 time: 1.0672 data_time: 0.0288 memory: 22238 grad_norm: 19.1671 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8920 loss: 1.8920 2022/07/31 15:19:07 - mmengine - INFO - Epoch(train) [20][960/2505] lr: 5.0000e-04 eta: 1 day, 2:24:17 time: 0.8367 data_time: 0.0283 memory: 22238 grad_norm: 20.1620 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7885 loss: 1.7885 2022/07/31 15:19:29 - mmengine - INFO - Epoch(train) [20][980/2505] lr: 5.0000e-04 eta: 1 day, 2:24:02 time: 1.1067 data_time: 0.0283 memory: 22238 grad_norm: 19.6482 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.0664 loss: 2.0664 2022/07/31 15:19:45 - mmengine - INFO - Epoch(train) [20][1000/2505] lr: 5.0000e-04 eta: 1 day, 2:23:35 time: 0.7970 data_time: 0.0285 memory: 22238 grad_norm: 20.0530 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1618 loss: 2.1618 2022/07/31 15:20:07 - mmengine - INFO - Epoch(train) [20][1020/2505] lr: 5.0000e-04 eta: 1 day, 2:23:21 time: 1.1117 data_time: 0.0296 memory: 22238 grad_norm: 20.2661 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5444 loss: 1.5444 2022/07/31 15:20:25 - mmengine - INFO - Epoch(train) [20][1040/2505] lr: 5.0000e-04 eta: 1 day, 2:22:58 time: 0.8925 data_time: 0.0288 memory: 22238 grad_norm: 20.9459 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5357 loss: 1.5357 2022/07/31 15:20:47 - mmengine - INFO - Epoch(train) [20][1060/2505] lr: 5.0000e-04 eta: 1 day, 2:22:43 time: 1.1081 data_time: 0.0306 memory: 22238 grad_norm: 19.9197 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1305 loss: 2.1305 2022/07/31 15:21:04 - mmengine - INFO - Epoch(train) [20][1080/2505] lr: 5.0000e-04 eta: 1 day, 2:22:18 time: 0.8513 data_time: 0.0300 memory: 22238 grad_norm: 19.9025 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8610 loss: 1.8610 2022/07/31 15:21:26 - mmengine - INFO - Epoch(train) [20][1100/2505] lr: 5.0000e-04 eta: 1 day, 2:22:02 time: 1.0801 data_time: 0.0339 memory: 22238 grad_norm: 19.6518 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7415 loss: 1.7415 2022/07/31 15:21:43 - mmengine - INFO - Epoch(train) [20][1120/2505] lr: 5.0000e-04 eta: 1 day, 2:21:38 time: 0.8612 data_time: 0.0302 memory: 22238 grad_norm: 19.3983 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7263 loss: 1.7263 2022/07/31 15:22:04 - mmengine - INFO - Epoch(train) [20][1140/2505] lr: 5.0000e-04 eta: 1 day, 2:21:21 time: 1.0582 data_time: 0.0291 memory: 22238 grad_norm: 20.3556 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6171 loss: 1.6171 2022/07/31 15:22:22 - mmengine - INFO - Epoch(train) [20][1160/2505] lr: 5.0000e-04 eta: 1 day, 2:20:58 time: 0.8853 data_time: 0.0338 memory: 22238 grad_norm: 19.4012 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6328 loss: 1.6328 2022/07/31 15:22:44 - mmengine - INFO - Epoch(train) [20][1180/2505] lr: 5.0000e-04 eta: 1 day, 2:20:43 time: 1.1034 data_time: 0.0348 memory: 22238 grad_norm: 19.6729 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7955 loss: 1.7955 2022/07/31 15:23:02 - mmengine - INFO - Epoch(train) [20][1200/2505] lr: 5.0000e-04 eta: 1 day, 2:20:19 time: 0.8722 data_time: 0.0302 memory: 22238 grad_norm: 20.5550 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9886 loss: 1.9886 2022/07/31 15:23:23 - mmengine - INFO - Epoch(train) [20][1220/2505] lr: 5.0000e-04 eta: 1 day, 2:20:03 time: 1.0871 data_time: 0.0483 memory: 22238 grad_norm: 19.7303 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7106 loss: 1.7106 2022/07/31 15:23:41 - mmengine - INFO - Epoch(train) [20][1240/2505] lr: 5.0000e-04 eta: 1 day, 2:19:40 time: 0.9065 data_time: 0.1319 memory: 22238 grad_norm: 20.0220 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8593 loss: 1.8593 2022/07/31 15:24:03 - mmengine - INFO - Epoch(train) [20][1260/2505] lr: 5.0000e-04 eta: 1 day, 2:19:25 time: 1.0831 data_time: 0.0850 memory: 22238 grad_norm: 20.5200 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6130 loss: 1.6130 2022/07/31 15:24:21 - mmengine - INFO - Epoch(train) [20][1280/2505] lr: 5.0000e-04 eta: 1 day, 2:19:01 time: 0.8751 data_time: 0.0304 memory: 22238 grad_norm: 19.7391 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.7974 loss: 1.7974 2022/07/31 15:24:42 - mmengine - INFO - Epoch(train) [20][1300/2505] lr: 5.0000e-04 eta: 1 day, 2:18:45 time: 1.0687 data_time: 0.0293 memory: 22238 grad_norm: 19.6287 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7282 loss: 1.7282 2022/07/31 15:25:00 - mmengine - INFO - Epoch(train) [20][1320/2505] lr: 5.0000e-04 eta: 1 day, 2:18:22 time: 0.9006 data_time: 0.0380 memory: 22238 grad_norm: 19.6518 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6652 loss: 1.6652 2022/07/31 15:25:23 - mmengine - INFO - Epoch(train) [20][1340/2505] lr: 5.0000e-04 eta: 1 day, 2:18:09 time: 1.1608 data_time: 0.0686 memory: 22238 grad_norm: 20.1414 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8277 loss: 1.8277 2022/07/31 15:25:40 - mmengine - INFO - Epoch(train) [20][1360/2505] lr: 5.0000e-04 eta: 1 day, 2:17:44 time: 0.8462 data_time: 0.0268 memory: 22238 grad_norm: 19.7703 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7229 loss: 1.7229 2022/07/31 15:26:02 - mmengine - INFO - Epoch(train) [20][1380/2505] lr: 5.0000e-04 eta: 1 day, 2:17:28 time: 1.0851 data_time: 0.0295 memory: 22238 grad_norm: 19.5380 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5232 loss: 1.5232 2022/07/31 15:26:19 - mmengine - INFO - Epoch(train) [20][1400/2505] lr: 5.0000e-04 eta: 1 day, 2:17:04 time: 0.8598 data_time: 0.0331 memory: 22238 grad_norm: 19.9106 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6194 loss: 1.6194 2022/07/31 15:26:25 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 15:26:40 - mmengine - INFO - Epoch(train) [20][1420/2505] lr: 5.0000e-04 eta: 1 day, 2:16:48 time: 1.0718 data_time: 0.0290 memory: 22238 grad_norm: 20.3743 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7471 loss: 1.7471 2022/07/31 15:26:59 - mmengine - INFO - Epoch(train) [20][1440/2505] lr: 5.0000e-04 eta: 1 day, 2:16:27 time: 0.9414 data_time: 0.0292 memory: 22238 grad_norm: 19.5134 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4492 loss: 1.4492 2022/07/31 15:27:20 - mmengine - INFO - Epoch(train) [20][1460/2505] lr: 5.0000e-04 eta: 1 day, 2:16:09 time: 1.0477 data_time: 0.0348 memory: 22238 grad_norm: 20.0912 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6289 loss: 1.6289 2022/07/31 15:27:37 - mmengine - INFO - Epoch(train) [20][1480/2505] lr: 5.0000e-04 eta: 1 day, 2:15:44 time: 0.8407 data_time: 0.0321 memory: 22238 grad_norm: 19.9061 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9660 loss: 1.9660 2022/07/31 15:27:59 - mmengine - INFO - Epoch(train) [20][1500/2505] lr: 5.0000e-04 eta: 1 day, 2:15:28 time: 1.0780 data_time: 0.0324 memory: 22238 grad_norm: 20.1807 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8094 loss: 1.8094 2022/07/31 15:28:16 - mmengine - INFO - Epoch(train) [20][1520/2505] lr: 5.0000e-04 eta: 1 day, 2:15:04 time: 0.8651 data_time: 0.0329 memory: 22238 grad_norm: 19.5799 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7204 loss: 1.7204 2022/07/31 15:28:38 - mmengine - INFO - Epoch(train) [20][1540/2505] lr: 5.0000e-04 eta: 1 day, 2:14:50 time: 1.1265 data_time: 0.0286 memory: 22238 grad_norm: 20.2631 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6011 loss: 1.6011 2022/07/31 15:28:56 - mmengine - INFO - Epoch(train) [20][1560/2505] lr: 5.0000e-04 eta: 1 day, 2:14:26 time: 0.8659 data_time: 0.0289 memory: 22238 grad_norm: 20.0372 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5978 loss: 1.5978 2022/07/31 15:29:18 - mmengine - INFO - Epoch(train) [20][1580/2505] lr: 5.0000e-04 eta: 1 day, 2:14:11 time: 1.1166 data_time: 0.0288 memory: 22238 grad_norm: 19.3235 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7854 loss: 1.7854 2022/07/31 15:29:35 - mmengine - INFO - Epoch(train) [20][1600/2505] lr: 5.0000e-04 eta: 1 day, 2:13:47 time: 0.8619 data_time: 0.0291 memory: 22238 grad_norm: 20.2451 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7868 loss: 1.7868 2022/07/31 15:29:57 - mmengine - INFO - Epoch(train) [20][1620/2505] lr: 5.0000e-04 eta: 1 day, 2:13:31 time: 1.0830 data_time: 0.0292 memory: 22238 grad_norm: 19.4025 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5357 loss: 1.5357 2022/07/31 15:30:14 - mmengine - INFO - Epoch(train) [20][1640/2505] lr: 5.0000e-04 eta: 1 day, 2:13:07 time: 0.8688 data_time: 0.0298 memory: 22238 grad_norm: 20.4160 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9470 loss: 1.9470 2022/07/31 15:30:36 - mmengine - INFO - Epoch(train) [20][1660/2505] lr: 5.0000e-04 eta: 1 day, 2:12:52 time: 1.1024 data_time: 0.0289 memory: 22238 grad_norm: 20.5761 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7509 loss: 1.7509 2022/07/31 15:30:55 - mmengine - INFO - Epoch(train) [20][1680/2505] lr: 5.0000e-04 eta: 1 day, 2:12:30 time: 0.9079 data_time: 0.0291 memory: 22238 grad_norm: 19.5418 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9244 loss: 1.9244 2022/07/31 15:31:18 - mmengine - INFO - Epoch(train) [20][1700/2505] lr: 5.0000e-04 eta: 1 day, 2:12:16 time: 1.1470 data_time: 0.0279 memory: 22238 grad_norm: 20.4519 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7699 loss: 1.7699 2022/07/31 15:31:34 - mmengine - INFO - Epoch(train) [20][1720/2505] lr: 5.0000e-04 eta: 1 day, 2:11:51 time: 0.8289 data_time: 0.0299 memory: 22238 grad_norm: 20.2353 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8169 loss: 1.8169 2022/07/31 15:31:56 - mmengine - INFO - Epoch(train) [20][1740/2505] lr: 5.0000e-04 eta: 1 day, 2:11:35 time: 1.0836 data_time: 0.0272 memory: 22238 grad_norm: 19.8549 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6514 loss: 1.6514 2022/07/31 15:32:13 - mmengine - INFO - Epoch(train) [20][1760/2505] lr: 5.0000e-04 eta: 1 day, 2:11:11 time: 0.8763 data_time: 0.0314 memory: 22238 grad_norm: 20.5120 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4808 loss: 1.4808 2022/07/31 15:32:34 - mmengine - INFO - Epoch(train) [20][1780/2505] lr: 5.0000e-04 eta: 1 day, 2:10:54 time: 1.0510 data_time: 0.0296 memory: 22238 grad_norm: 20.7151 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7356 loss: 1.7356 2022/07/31 15:32:52 - mmengine - INFO - Epoch(train) [20][1800/2505] lr: 5.0000e-04 eta: 1 day, 2:10:31 time: 0.8894 data_time: 0.0290 memory: 22238 grad_norm: 20.1681 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5679 loss: 1.5679 2022/07/31 15:33:14 - mmengine - INFO - Epoch(train) [20][1820/2505] lr: 5.0000e-04 eta: 1 day, 2:10:15 time: 1.0866 data_time: 0.0291 memory: 22238 grad_norm: 20.0563 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6893 loss: 1.6893 2022/07/31 15:33:31 - mmengine - INFO - Epoch(train) [20][1840/2505] lr: 5.0000e-04 eta: 1 day, 2:09:51 time: 0.8620 data_time: 0.0278 memory: 22238 grad_norm: 20.3700 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5523 loss: 1.5523 2022/07/31 15:33:52 - mmengine - INFO - Epoch(train) [20][1860/2505] lr: 5.0000e-04 eta: 1 day, 2:09:33 time: 1.0309 data_time: 0.0280 memory: 22238 grad_norm: 20.0156 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9768 loss: 1.9768 2022/07/31 15:34:10 - mmengine - INFO - Epoch(train) [20][1880/2505] lr: 5.0000e-04 eta: 1 day, 2:09:11 time: 0.9116 data_time: 0.0281 memory: 22238 grad_norm: 19.4151 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6115 loss: 1.6115 2022/07/31 15:34:31 - mmengine - INFO - Epoch(train) [20][1900/2505] lr: 5.0000e-04 eta: 1 day, 2:08:54 time: 1.0617 data_time: 0.0288 memory: 22238 grad_norm: 19.8905 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7896 loss: 1.7896 2022/07/31 15:34:49 - mmengine - INFO - Epoch(train) [20][1920/2505] lr: 5.0000e-04 eta: 1 day, 2:08:30 time: 0.8620 data_time: 0.0283 memory: 22238 grad_norm: 19.9988 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7914 loss: 1.7914 2022/07/31 15:35:11 - mmengine - INFO - Epoch(train) [20][1940/2505] lr: 5.0000e-04 eta: 1 day, 2:08:15 time: 1.1077 data_time: 0.0267 memory: 22238 grad_norm: 20.4853 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6511 loss: 1.6511 2022/07/31 15:35:28 - mmengine - INFO - Epoch(train) [20][1960/2505] lr: 5.0000e-04 eta: 1 day, 2:07:50 time: 0.8451 data_time: 0.0287 memory: 22238 grad_norm: 19.5913 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5800 loss: 1.5800 2022/07/31 15:35:48 - mmengine - INFO - Epoch(train) [20][1980/2505] lr: 5.0000e-04 eta: 1 day, 2:07:33 time: 1.0422 data_time: 0.0273 memory: 22238 grad_norm: 20.2046 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5428 loss: 1.5428 2022/07/31 15:36:06 - mmengine - INFO - Epoch(train) [20][2000/2505] lr: 5.0000e-04 eta: 1 day, 2:07:09 time: 0.8730 data_time: 0.0285 memory: 22238 grad_norm: 20.4749 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6965 loss: 1.6965 2022/07/31 15:36:28 - mmengine - INFO - Epoch(train) [20][2020/2505] lr: 5.0000e-04 eta: 1 day, 2:06:54 time: 1.1071 data_time: 0.0340 memory: 22238 grad_norm: 19.9188 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.4933 loss: 1.4933 2022/07/31 15:36:44 - mmengine - INFO - Epoch(train) [20][2040/2505] lr: 5.0000e-04 eta: 1 day, 2:06:28 time: 0.8141 data_time: 0.0297 memory: 22238 grad_norm: 19.5787 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6780 loss: 1.6780 2022/07/31 15:37:05 - mmengine - INFO - Epoch(train) [20][2060/2505] lr: 5.0000e-04 eta: 1 day, 2:06:11 time: 1.0489 data_time: 0.0507 memory: 22238 grad_norm: 20.0222 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7922 loss: 1.7922 2022/07/31 15:37:24 - mmengine - INFO - Epoch(train) [20][2080/2505] lr: 5.0000e-04 eta: 1 day, 2:05:48 time: 0.9102 data_time: 0.0301 memory: 22238 grad_norm: 20.4168 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6542 loss: 1.6542 2022/07/31 15:37:44 - mmengine - INFO - Epoch(train) [20][2100/2505] lr: 5.0000e-04 eta: 1 day, 2:05:30 time: 1.0265 data_time: 0.0702 memory: 22238 grad_norm: 20.9099 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8555 loss: 1.8555 2022/07/31 15:38:03 - mmengine - INFO - Epoch(train) [20][2120/2505] lr: 5.0000e-04 eta: 1 day, 2:05:09 time: 0.9252 data_time: 0.0417 memory: 22238 grad_norm: 20.0342 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8381 loss: 1.8381 2022/07/31 15:38:22 - mmengine - INFO - Epoch(train) [20][2140/2505] lr: 5.0000e-04 eta: 1 day, 2:04:49 time: 0.9841 data_time: 0.0333 memory: 22238 grad_norm: 19.3679 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7048 loss: 1.7048 2022/07/31 15:38:42 - mmengine - INFO - Epoch(train) [20][2160/2505] lr: 5.0000e-04 eta: 1 day, 2:04:29 time: 0.9750 data_time: 0.0651 memory: 22238 grad_norm: 19.5501 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6172 loss: 1.6172 2022/07/31 15:39:01 - mmengine - INFO - Epoch(train) [20][2180/2505] lr: 5.0000e-04 eta: 1 day, 2:04:08 time: 0.9385 data_time: 0.0432 memory: 22238 grad_norm: 19.9626 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6374 loss: 1.6374 2022/07/31 15:39:21 - mmengine - INFO - Epoch(train) [20][2200/2505] lr: 5.0000e-04 eta: 1 day, 2:03:49 time: 1.0160 data_time: 0.0276 memory: 22238 grad_norm: 20.0307 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4200 loss: 1.4200 2022/07/31 15:39:39 - mmengine - INFO - Epoch(train) [20][2220/2505] lr: 5.0000e-04 eta: 1 day, 2:03:27 time: 0.9163 data_time: 0.0287 memory: 22238 grad_norm: 19.4661 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.6253 loss: 1.6253 2022/07/31 15:40:00 - mmengine - INFO - Epoch(train) [20][2240/2505] lr: 5.0000e-04 eta: 1 day, 2:03:10 time: 1.0457 data_time: 0.0288 memory: 22238 grad_norm: 19.5241 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6274 loss: 1.6274 2022/07/31 15:40:19 - mmengine - INFO - Epoch(train) [20][2260/2505] lr: 5.0000e-04 eta: 1 day, 2:02:48 time: 0.9302 data_time: 0.0303 memory: 22238 grad_norm: 20.0428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4071 loss: 1.4071 2022/07/31 15:40:40 - mmengine - INFO - Epoch(train) [20][2280/2505] lr: 5.0000e-04 eta: 1 day, 2:02:31 time: 1.0452 data_time: 0.0614 memory: 22238 grad_norm: 19.9117 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6401 loss: 1.6401 2022/07/31 15:40:58 - mmengine - INFO - Epoch(train) [20][2300/2505] lr: 5.0000e-04 eta: 1 day, 2:02:08 time: 0.9022 data_time: 0.0944 memory: 22238 grad_norm: 19.6120 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8464 loss: 1.8464 2022/07/31 15:41:20 - mmengine - INFO - Epoch(train) [20][2320/2505] lr: 5.0000e-04 eta: 1 day, 2:01:53 time: 1.1004 data_time: 0.0273 memory: 22238 grad_norm: 20.6112 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7253 loss: 1.7253 2022/07/31 15:41:37 - mmengine - INFO - Epoch(train) [20][2340/2505] lr: 5.0000e-04 eta: 1 day, 2:01:28 time: 0.8473 data_time: 0.0662 memory: 22238 grad_norm: 20.4431 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5646 loss: 1.5646 2022/07/31 15:41:58 - mmengine - INFO - Epoch(train) [20][2360/2505] lr: 5.0000e-04 eta: 1 day, 2:01:12 time: 1.0826 data_time: 0.0923 memory: 22238 grad_norm: 19.6079 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7925 loss: 1.7925 2022/07/31 15:42:16 - mmengine - INFO - Epoch(train) [20][2380/2505] lr: 5.0000e-04 eta: 1 day, 2:00:48 time: 0.8625 data_time: 0.0337 memory: 22238 grad_norm: 20.9520 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9589 loss: 1.9589 2022/07/31 15:42:37 - mmengine - INFO - Epoch(train) [20][2400/2505] lr: 5.0000e-04 eta: 1 day, 2:00:31 time: 1.0461 data_time: 0.0728 memory: 22238 grad_norm: 19.8415 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6413 loss: 1.6413 2022/07/31 15:42:42 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 15:42:56 - mmengine - INFO - Epoch(train) [20][2420/2505] lr: 5.0000e-04 eta: 1 day, 2:00:11 time: 0.9676 data_time: 0.3319 memory: 22238 grad_norm: 20.1570 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7629 loss: 1.7629 2022/07/31 15:43:16 - mmengine - INFO - Epoch(train) [20][2440/2505] lr: 5.0000e-04 eta: 1 day, 1:59:52 time: 0.9972 data_time: 0.2261 memory: 22238 grad_norm: 20.4682 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.9284 loss: 1.9284 2022/07/31 15:43:35 - mmengine - INFO - Epoch(train) [20][2460/2505] lr: 5.0000e-04 eta: 1 day, 1:59:31 time: 0.9604 data_time: 0.3566 memory: 22238 grad_norm: 19.6938 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5046 loss: 1.5046 2022/07/31 15:43:54 - mmengine - INFO - Epoch(train) [20][2480/2505] lr: 5.0000e-04 eta: 1 day, 1:59:11 time: 0.9714 data_time: 0.2693 memory: 22238 grad_norm: 20.2099 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.9427 loss: 1.9427 2022/07/31 15:44:13 - mmengine - INFO - Epoch(train) [20][2500/2505] lr: 5.0000e-04 eta: 1 day, 1:58:48 time: 0.9054 data_time: 0.3866 memory: 22238 grad_norm: 19.9305 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7036 loss: 1.7036 2022/07/31 15:44:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 15:44:14 - mmengine - INFO - Epoch(train) [20][2505/2505] lr: 5.0000e-04 eta: 1 day, 1:58:48 time: 0.7039 data_time: 0.2382 memory: 22238 grad_norm: 20.2721 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7408 loss: 1.7408 2022/07/31 15:44:14 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/07/31 15:44:43 - mmengine - INFO - Epoch(train) [21][20/2505] lr: 5.0000e-04 eta: 1 day, 1:58:25 time: 1.2481 data_time: 0.8403 memory: 22238 grad_norm: 20.0886 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5088 loss: 1.5088 2022/07/31 15:45:01 - mmengine - INFO - Epoch(train) [21][40/2505] lr: 5.0000e-04 eta: 1 day, 1:58:01 time: 0.8721 data_time: 0.4635 memory: 22238 grad_norm: 19.8387 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.7302 loss: 1.7302 2022/07/31 15:45:23 - mmengine - INFO - Epoch(train) [21][60/2505] lr: 5.0000e-04 eta: 1 day, 1:57:46 time: 1.0966 data_time: 0.6951 memory: 22238 grad_norm: 20.3002 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7760 loss: 1.7760 2022/07/31 15:45:41 - mmengine - INFO - Epoch(train) [21][80/2505] lr: 5.0000e-04 eta: 1 day, 1:57:22 time: 0.8889 data_time: 0.4849 memory: 22238 grad_norm: 19.4942 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8311 loss: 1.8311 2022/07/31 15:46:02 - mmengine - INFO - Epoch(train) [21][100/2505] lr: 5.0000e-04 eta: 1 day, 1:57:07 time: 1.0914 data_time: 0.6961 memory: 22238 grad_norm: 19.9541 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7189 loss: 1.7189 2022/07/31 15:46:20 - mmengine - INFO - Epoch(train) [21][120/2505] lr: 5.0000e-04 eta: 1 day, 1:56:43 time: 0.8771 data_time: 0.4728 memory: 22238 grad_norm: 20.7291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1190 loss: 2.1190 2022/07/31 15:46:42 - mmengine - INFO - Epoch(train) [21][140/2505] lr: 5.0000e-04 eta: 1 day, 1:56:28 time: 1.1017 data_time: 0.7060 memory: 22238 grad_norm: 19.3814 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5437 loss: 1.5437 2022/07/31 15:46:59 - mmengine - INFO - Epoch(train) [21][160/2505] lr: 5.0000e-04 eta: 1 day, 1:56:03 time: 0.8503 data_time: 0.4444 memory: 22238 grad_norm: 19.9802 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8002 loss: 1.8002 2022/07/31 15:47:21 - mmengine - INFO - Epoch(train) [21][180/2505] lr: 5.0000e-04 eta: 1 day, 1:55:48 time: 1.0968 data_time: 0.7016 memory: 22238 grad_norm: 19.8142 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7276 loss: 1.7276 2022/07/31 15:47:38 - mmengine - INFO - Epoch(train) [21][200/2505] lr: 5.0000e-04 eta: 1 day, 1:55:23 time: 0.8425 data_time: 0.4395 memory: 22238 grad_norm: 19.7312 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5028 loss: 1.5028 2022/07/31 15:48:00 - mmengine - INFO - Epoch(train) [21][220/2505] lr: 5.0000e-04 eta: 1 day, 1:55:08 time: 1.1067 data_time: 0.6994 memory: 22238 grad_norm: 19.9438 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.7114 loss: 1.7114 2022/07/31 15:48:17 - mmengine - INFO - Epoch(train) [21][240/2505] lr: 5.0000e-04 eta: 1 day, 1:54:44 time: 0.8607 data_time: 0.4595 memory: 22238 grad_norm: 19.7131 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6941 loss: 1.6941 2022/07/31 15:48:38 - mmengine - INFO - Epoch(train) [21][260/2505] lr: 5.0000e-04 eta: 1 day, 1:54:27 time: 1.0574 data_time: 0.6681 memory: 22238 grad_norm: 19.5435 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7349 loss: 1.7349 2022/07/31 15:48:56 - mmengine - INFO - Epoch(train) [21][280/2505] lr: 5.0000e-04 eta: 1 day, 1:54:03 time: 0.8600 data_time: 0.4734 memory: 22238 grad_norm: 19.6499 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8188 loss: 1.8188 2022/07/31 15:49:18 - mmengine - INFO - Epoch(train) [21][300/2505] lr: 5.0000e-04 eta: 1 day, 1:53:48 time: 1.1152 data_time: 0.7100 memory: 22238 grad_norm: 19.4491 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5113 loss: 1.5113 2022/07/31 15:49:35 - mmengine - INFO - Epoch(train) [21][320/2505] lr: 5.0000e-04 eta: 1 day, 1:53:23 time: 0.8489 data_time: 0.4646 memory: 22238 grad_norm: 20.5094 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7358 loss: 1.7358 2022/07/31 15:49:56 - mmengine - INFO - Epoch(train) [21][340/2505] lr: 5.0000e-04 eta: 1 day, 1:53:07 time: 1.0745 data_time: 0.6850 memory: 22238 grad_norm: 19.8610 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8245 loss: 1.8245 2022/07/31 15:50:14 - mmengine - INFO - Epoch(train) [21][360/2505] lr: 5.0000e-04 eta: 1 day, 1:52:45 time: 0.9042 data_time: 0.4884 memory: 22238 grad_norm: 20.2017 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8036 loss: 1.8036 2022/07/31 15:50:37 - mmengine - INFO - Epoch(train) [21][380/2505] lr: 5.0000e-04 eta: 1 day, 1:52:30 time: 1.1222 data_time: 0.5925 memory: 22238 grad_norm: 20.6877 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7058 loss: 1.7058 2022/07/31 15:50:54 - mmengine - INFO - Epoch(train) [21][400/2505] lr: 5.0000e-04 eta: 1 day, 1:52:06 time: 0.8666 data_time: 0.3020 memory: 22238 grad_norm: 19.5321 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6469 loss: 1.6469 2022/07/31 15:51:16 - mmengine - INFO - Epoch(train) [21][420/2505] lr: 5.0000e-04 eta: 1 day, 1:51:50 time: 1.0813 data_time: 0.4796 memory: 22238 grad_norm: 20.5420 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8106 loss: 1.8106 2022/07/31 15:51:33 - mmengine - INFO - Epoch(train) [21][440/2505] lr: 5.0000e-04 eta: 1 day, 1:51:26 time: 0.8596 data_time: 0.3560 memory: 22238 grad_norm: 20.4710 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7387 loss: 1.7387 2022/07/31 15:51:55 - mmengine - INFO - Epoch(train) [21][460/2505] lr: 5.0000e-04 eta: 1 day, 1:51:12 time: 1.1178 data_time: 0.5927 memory: 22238 grad_norm: 19.8432 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6492 loss: 1.6492 2022/07/31 15:52:13 - mmengine - INFO - Epoch(train) [21][480/2505] lr: 5.0000e-04 eta: 1 day, 1:50:49 time: 0.8949 data_time: 0.3570 memory: 22238 grad_norm: 19.7476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6980 loss: 1.6980 2022/07/31 15:52:34 - mmengine - INFO - Epoch(train) [21][500/2505] lr: 5.0000e-04 eta: 1 day, 1:50:31 time: 1.0258 data_time: 0.3951 memory: 22238 grad_norm: 20.9294 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9642 loss: 1.9642 2022/07/31 15:52:51 - mmengine - INFO - Epoch(train) [21][520/2505] lr: 5.0000e-04 eta: 1 day, 1:50:07 time: 0.8673 data_time: 0.3335 memory: 22238 grad_norm: 19.9953 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.6082 loss: 1.6082 2022/07/31 15:53:14 - mmengine - INFO - Epoch(train) [21][540/2505] lr: 5.0000e-04 eta: 1 day, 1:49:52 time: 1.1250 data_time: 0.4284 memory: 22238 grad_norm: 20.4049 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5024 loss: 1.5024 2022/07/31 15:53:31 - mmengine - INFO - Epoch(train) [21][560/2505] lr: 5.0000e-04 eta: 1 day, 1:49:28 time: 0.8529 data_time: 0.2305 memory: 22238 grad_norm: 20.2863 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5580 loss: 1.5580 2022/07/31 15:53:52 - mmengine - INFO - Epoch(train) [21][580/2505] lr: 5.0000e-04 eta: 1 day, 1:49:11 time: 1.0652 data_time: 0.3900 memory: 22238 grad_norm: 20.3351 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6967 loss: 1.6967 2022/07/31 15:54:10 - mmengine - INFO - Epoch(train) [21][600/2505] lr: 5.0000e-04 eta: 1 day, 1:48:48 time: 0.8928 data_time: 0.4148 memory: 22238 grad_norm: 19.4369 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8581 loss: 1.8581 2022/07/31 15:54:32 - mmengine - INFO - Epoch(train) [21][620/2505] lr: 5.0000e-04 eta: 1 day, 1:48:34 time: 1.1185 data_time: 0.6947 memory: 22238 grad_norm: 19.3148 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7066 loss: 1.7066 2022/07/31 15:54:49 - mmengine - INFO - Epoch(train) [21][640/2505] lr: 5.0000e-04 eta: 1 day, 1:48:09 time: 0.8467 data_time: 0.4517 memory: 22238 grad_norm: 20.2612 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7240 loss: 1.7240 2022/07/31 15:55:10 - mmengine - INFO - Epoch(train) [21][660/2505] lr: 5.0000e-04 eta: 1 day, 1:47:52 time: 1.0460 data_time: 0.6580 memory: 22238 grad_norm: 19.6076 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8951 loss: 1.8951 2022/07/31 15:55:27 - mmengine - INFO - Epoch(train) [21][680/2505] lr: 5.0000e-04 eta: 1 day, 1:47:28 time: 0.8645 data_time: 0.4518 memory: 22238 grad_norm: 19.9194 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0323 loss: 2.0323 2022/07/31 15:55:49 - mmengine - INFO - Epoch(train) [21][700/2505] lr: 5.0000e-04 eta: 1 day, 1:47:12 time: 1.0864 data_time: 0.5743 memory: 22238 grad_norm: 20.6873 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4842 loss: 1.4842 2022/07/31 15:56:07 - mmengine - INFO - Epoch(train) [21][720/2505] lr: 5.0000e-04 eta: 1 day, 1:46:48 time: 0.8763 data_time: 0.3897 memory: 22238 grad_norm: 19.9550 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8016 loss: 1.8016 2022/07/31 15:56:28 - mmengine - INFO - Epoch(train) [21][740/2505] lr: 5.0000e-04 eta: 1 day, 1:46:32 time: 1.0859 data_time: 0.4903 memory: 22238 grad_norm: 19.4468 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6349 loss: 1.6349 2022/07/31 15:56:46 - mmengine - INFO - Epoch(train) [21][760/2505] lr: 5.0000e-04 eta: 1 day, 1:46:09 time: 0.8668 data_time: 0.2940 memory: 22238 grad_norm: 19.6270 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7677 loss: 1.7677 2022/07/31 15:57:08 - mmengine - INFO - Epoch(train) [21][780/2505] lr: 5.0000e-04 eta: 1 day, 1:45:54 time: 1.1225 data_time: 0.4348 memory: 22238 grad_norm: 19.9751 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7992 loss: 1.7992 2022/07/31 15:57:26 - mmengine - INFO - Epoch(train) [21][800/2505] lr: 5.0000e-04 eta: 1 day, 1:45:31 time: 0.8996 data_time: 0.3332 memory: 22238 grad_norm: 20.2579 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6363 loss: 1.6363 2022/07/31 15:57:49 - mmengine - INFO - Epoch(train) [21][820/2505] lr: 5.0000e-04 eta: 1 day, 1:45:17 time: 1.1299 data_time: 0.4136 memory: 22238 grad_norm: 20.0325 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6746 loss: 1.6746 2022/07/31 15:58:06 - mmengine - INFO - Epoch(train) [21][840/2505] lr: 5.0000e-04 eta: 1 day, 1:44:53 time: 0.8633 data_time: 0.2474 memory: 22238 grad_norm: 19.4369 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6812 loss: 1.6812 2022/07/31 15:58:28 - mmengine - INFO - Epoch(train) [21][860/2505] lr: 5.0000e-04 eta: 1 day, 1:44:38 time: 1.1127 data_time: 0.5010 memory: 22238 grad_norm: 19.4234 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4574 loss: 1.4574 2022/07/31 15:58:45 - mmengine - INFO - Epoch(train) [21][880/2505] lr: 5.0000e-04 eta: 1 day, 1:44:14 time: 0.8467 data_time: 0.3327 memory: 22238 grad_norm: 19.4707 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7209 loss: 1.7209 2022/07/31 15:59:07 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 15:59:07 - mmengine - INFO - Epoch(train) [21][900/2505] lr: 5.0000e-04 eta: 1 day, 1:43:57 time: 1.0715 data_time: 0.4911 memory: 22238 grad_norm: 20.0015 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7796 loss: 1.7796 2022/07/31 15:59:24 - mmengine - INFO - Epoch(train) [21][920/2505] lr: 5.0000e-04 eta: 1 day, 1:43:33 time: 0.8536 data_time: 0.2994 memory: 22238 grad_norm: 19.2520 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8446 loss: 1.8446 2022/07/31 15:59:45 - mmengine - INFO - Epoch(train) [21][940/2505] lr: 5.0000e-04 eta: 1 day, 1:43:16 time: 1.0583 data_time: 0.5815 memory: 22238 grad_norm: 19.7242 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7624 loss: 1.7624 2022/07/31 16:00:02 - mmengine - INFO - Epoch(train) [21][960/2505] lr: 5.0000e-04 eta: 1 day, 1:42:52 time: 0.8742 data_time: 0.4049 memory: 22238 grad_norm: 20.2191 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5746 loss: 1.5746 2022/07/31 16:00:24 - mmengine - INFO - Epoch(train) [21][980/2505] lr: 5.0000e-04 eta: 1 day, 1:42:37 time: 1.0908 data_time: 0.5842 memory: 22238 grad_norm: 19.2782 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7780 loss: 1.7780 2022/07/31 16:00:42 - mmengine - INFO - Epoch(train) [21][1000/2505] lr: 5.0000e-04 eta: 1 day, 1:42:14 time: 0.8988 data_time: 0.4282 memory: 22238 grad_norm: 20.1974 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.4769 loss: 1.4769 2022/07/31 16:01:04 - mmengine - INFO - Epoch(train) [21][1020/2505] lr: 5.0000e-04 eta: 1 day, 1:41:58 time: 1.0927 data_time: 0.4923 memory: 22238 grad_norm: 20.3168 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.8302 loss: 1.8302 2022/07/31 16:01:21 - mmengine - INFO - Epoch(train) [21][1040/2505] lr: 5.0000e-04 eta: 1 day, 1:41:34 time: 0.8666 data_time: 0.2886 memory: 22238 grad_norm: 19.2597 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8684 loss: 1.8684 2022/07/31 16:01:43 - mmengine - INFO - Epoch(train) [21][1060/2505] lr: 5.0000e-04 eta: 1 day, 1:41:19 time: 1.0984 data_time: 0.4448 memory: 22238 grad_norm: 19.7183 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7936 loss: 1.7936 2022/07/31 16:02:01 - mmengine - INFO - Epoch(train) [21][1080/2505] lr: 5.0000e-04 eta: 1 day, 1:40:55 time: 0.8730 data_time: 0.3281 memory: 22238 grad_norm: 20.5627 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8710 loss: 1.8710 2022/07/31 16:02:22 - mmengine - INFO - Epoch(train) [21][1100/2505] lr: 5.0000e-04 eta: 1 day, 1:40:38 time: 1.0532 data_time: 0.3877 memory: 22238 grad_norm: 19.8080 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7208 loss: 1.7208 2022/07/31 16:02:39 - mmengine - INFO - Epoch(train) [21][1120/2505] lr: 5.0000e-04 eta: 1 day, 1:40:14 time: 0.8641 data_time: 0.2011 memory: 22238 grad_norm: 20.6832 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6434 loss: 1.6434 2022/07/31 16:03:01 - mmengine - INFO - Epoch(train) [21][1140/2505] lr: 5.0000e-04 eta: 1 day, 1:39:58 time: 1.0664 data_time: 0.2956 memory: 22238 grad_norm: 19.9792 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9234 loss: 1.9234 2022/07/31 16:03:18 - mmengine - INFO - Epoch(train) [21][1160/2505] lr: 5.0000e-04 eta: 1 day, 1:39:34 time: 0.8609 data_time: 0.1906 memory: 22238 grad_norm: 19.4537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6956 loss: 1.6956 2022/07/31 16:03:40 - mmengine - INFO - Epoch(train) [21][1180/2505] lr: 5.0000e-04 eta: 1 day, 1:39:18 time: 1.0888 data_time: 0.2596 memory: 22238 grad_norm: 19.5144 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8024 loss: 1.8024 2022/07/31 16:03:57 - mmengine - INFO - Epoch(train) [21][1200/2505] lr: 5.0000e-04 eta: 1 day, 1:38:55 time: 0.8891 data_time: 0.1725 memory: 22238 grad_norm: 19.9260 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7541 loss: 1.7541 2022/07/31 16:04:19 - mmengine - INFO - Epoch(train) [21][1220/2505] lr: 5.0000e-04 eta: 1 day, 1:38:39 time: 1.0895 data_time: 0.2081 memory: 22238 grad_norm: 19.9286 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6978 loss: 1.6978 2022/07/31 16:04:38 - mmengine - INFO - Epoch(train) [21][1240/2505] lr: 5.0000e-04 eta: 1 day, 1:38:18 time: 0.9340 data_time: 0.1565 memory: 22238 grad_norm: 20.0552 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6151 loss: 1.6151 2022/07/31 16:04:59 - mmengine - INFO - Epoch(train) [21][1260/2505] lr: 5.0000e-04 eta: 1 day, 1:38:00 time: 1.0430 data_time: 0.1351 memory: 22238 grad_norm: 19.8141 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7481 loss: 1.7481 2022/07/31 16:05:18 - mmengine - INFO - Epoch(train) [21][1280/2505] lr: 5.0000e-04 eta: 1 day, 1:37:39 time: 0.9399 data_time: 0.0997 memory: 22238 grad_norm: 20.7774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6982 loss: 1.6982 2022/07/31 16:05:38 - mmengine - INFO - Epoch(train) [21][1300/2505] lr: 5.0000e-04 eta: 1 day, 1:37:22 time: 1.0475 data_time: 0.0670 memory: 22238 grad_norm: 19.8052 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.8284 loss: 1.8284 2022/07/31 16:05:57 - mmengine - INFO - Epoch(train) [21][1320/2505] lr: 5.0000e-04 eta: 1 day, 1:37:00 time: 0.9328 data_time: 0.1136 memory: 22238 grad_norm: 19.7169 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7932 loss: 1.7932 2022/07/31 16:06:20 - mmengine - INFO - Epoch(train) [21][1340/2505] lr: 5.0000e-04 eta: 1 day, 1:36:46 time: 1.1179 data_time: 0.1029 memory: 22238 grad_norm: 19.3952 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7779 loss: 1.7779 2022/07/31 16:06:37 - mmengine - INFO - Epoch(train) [21][1360/2505] lr: 5.0000e-04 eta: 1 day, 1:36:22 time: 0.8820 data_time: 0.0492 memory: 22238 grad_norm: 20.3854 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8281 loss: 1.8281 2022/07/31 16:07:00 - mmengine - INFO - Epoch(train) [21][1380/2505] lr: 5.0000e-04 eta: 1 day, 1:36:08 time: 1.1209 data_time: 0.0970 memory: 22238 grad_norm: 20.0659 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7044 loss: 1.7044 2022/07/31 16:07:17 - mmengine - INFO - Epoch(train) [21][1400/2505] lr: 5.0000e-04 eta: 1 day, 1:35:43 time: 0.8505 data_time: 0.0578 memory: 22238 grad_norm: 19.3783 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7927 loss: 1.7927 2022/07/31 16:07:38 - mmengine - INFO - Epoch(train) [21][1420/2505] lr: 5.0000e-04 eta: 1 day, 1:35:27 time: 1.0792 data_time: 0.0283 memory: 22238 grad_norm: 20.1032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7152 loss: 1.7152 2022/07/31 16:07:55 - mmengine - INFO - Epoch(train) [21][1440/2505] lr: 5.0000e-04 eta: 1 day, 1:35:03 time: 0.8519 data_time: 0.0313 memory: 22238 grad_norm: 19.1036 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5909 loss: 1.5909 2022/07/31 16:08:18 - mmengine - INFO - Epoch(train) [21][1460/2505] lr: 5.0000e-04 eta: 1 day, 1:34:49 time: 1.1345 data_time: 0.0288 memory: 22238 grad_norm: 19.6006 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7499 loss: 1.7499 2022/07/31 16:08:35 - mmengine - INFO - Epoch(train) [21][1480/2505] lr: 5.0000e-04 eta: 1 day, 1:34:24 time: 0.8473 data_time: 0.0321 memory: 22238 grad_norm: 20.1216 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4122 loss: 1.4122 2022/07/31 16:08:57 - mmengine - INFO - Epoch(train) [21][1500/2505] lr: 5.0000e-04 eta: 1 day, 1:34:09 time: 1.1071 data_time: 0.0334 memory: 22238 grad_norm: 19.4491 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7294 loss: 1.7294 2022/07/31 16:09:14 - mmengine - INFO - Epoch(train) [21][1520/2505] lr: 5.0000e-04 eta: 1 day, 1:33:44 time: 0.8474 data_time: 0.0312 memory: 22238 grad_norm: 20.9536 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8368 loss: 1.8368 2022/07/31 16:09:35 - mmengine - INFO - Epoch(train) [21][1540/2505] lr: 5.0000e-04 eta: 1 day, 1:33:28 time: 1.0679 data_time: 0.0335 memory: 22238 grad_norm: 19.4042 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7284 loss: 1.7284 2022/07/31 16:09:53 - mmengine - INFO - Epoch(train) [21][1560/2505] lr: 5.0000e-04 eta: 1 day, 1:33:04 time: 0.8606 data_time: 0.0267 memory: 22238 grad_norm: 20.2405 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9027 loss: 1.9027 2022/07/31 16:10:15 - mmengine - INFO - Epoch(train) [21][1580/2505] lr: 5.0000e-04 eta: 1 day, 1:32:49 time: 1.1249 data_time: 0.0378 memory: 22238 grad_norm: 19.3724 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8815 loss: 1.8815 2022/07/31 16:10:33 - mmengine - INFO - Epoch(train) [21][1600/2505] lr: 5.0000e-04 eta: 1 day, 1:32:26 time: 0.8806 data_time: 0.0319 memory: 22238 grad_norm: 20.1618 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.8153 loss: 1.8153 2022/07/31 16:10:54 - mmengine - INFO - Epoch(train) [21][1620/2505] lr: 5.0000e-04 eta: 1 day, 1:32:10 time: 1.0771 data_time: 0.0472 memory: 22238 grad_norm: 20.2385 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7032 loss: 1.7032 2022/07/31 16:11:11 - mmengine - INFO - Epoch(train) [21][1640/2505] lr: 5.0000e-04 eta: 1 day, 1:31:46 time: 0.8567 data_time: 0.0332 memory: 22238 grad_norm: 19.9424 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8778 loss: 1.8778 2022/07/31 16:11:33 - mmengine - INFO - Epoch(train) [21][1660/2505] lr: 5.0000e-04 eta: 1 day, 1:31:29 time: 1.0772 data_time: 0.0988 memory: 22238 grad_norm: 19.1640 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8275 loss: 1.8275 2022/07/31 16:11:51 - mmengine - INFO - Epoch(train) [21][1680/2505] lr: 5.0000e-04 eta: 1 day, 1:31:07 time: 0.8967 data_time: 0.0677 memory: 22238 grad_norm: 19.6362 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9431 loss: 1.9431 2022/07/31 16:12:12 - mmengine - INFO - Epoch(train) [21][1700/2505] lr: 5.0000e-04 eta: 1 day, 1:30:51 time: 1.0836 data_time: 0.0798 memory: 22238 grad_norm: 19.8176 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8096 loss: 1.8096 2022/07/31 16:12:29 - mmengine - INFO - Epoch(train) [21][1720/2505] lr: 5.0000e-04 eta: 1 day, 1:30:26 time: 0.8485 data_time: 0.0653 memory: 22238 grad_norm: 19.8053 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6328 loss: 1.6328 2022/07/31 16:12:52 - mmengine - INFO - Epoch(train) [21][1740/2505] lr: 5.0000e-04 eta: 1 day, 1:30:12 time: 1.1409 data_time: 0.1237 memory: 22238 grad_norm: 19.7595 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8025 loss: 1.8025 2022/07/31 16:13:09 - mmengine - INFO - Epoch(train) [21][1760/2505] lr: 5.0000e-04 eta: 1 day, 1:29:47 time: 0.8308 data_time: 0.0699 memory: 22238 grad_norm: 19.6559 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4469 loss: 1.4469 2022/07/31 16:13:31 - mmengine - INFO - Epoch(train) [21][1780/2505] lr: 5.0000e-04 eta: 1 day, 1:29:31 time: 1.0964 data_time: 0.1934 memory: 22238 grad_norm: 20.2636 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5434 loss: 1.5434 2022/07/31 16:13:48 - mmengine - INFO - Epoch(train) [21][1800/2505] lr: 5.0000e-04 eta: 1 day, 1:29:08 time: 0.8652 data_time: 0.1847 memory: 22238 grad_norm: 19.8104 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7181 loss: 1.7181 2022/07/31 16:14:10 - mmengine - INFO - Epoch(train) [21][1820/2505] lr: 5.0000e-04 eta: 1 day, 1:28:52 time: 1.0854 data_time: 0.2622 memory: 22238 grad_norm: 20.1194 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9796 loss: 1.9796 2022/07/31 16:14:27 - mmengine - INFO - Epoch(train) [21][1840/2505] lr: 5.0000e-04 eta: 1 day, 1:28:27 time: 0.8553 data_time: 0.2009 memory: 22238 grad_norm: 20.0182 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7179 loss: 1.7179 2022/07/31 16:14:49 - mmengine - INFO - Epoch(train) [21][1860/2505] lr: 5.0000e-04 eta: 1 day, 1:28:12 time: 1.0966 data_time: 0.3189 memory: 22238 grad_norm: 19.3123 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7622 loss: 1.7622 2022/07/31 16:15:07 - mmengine - INFO - Epoch(train) [21][1880/2505] lr: 5.0000e-04 eta: 1 day, 1:27:49 time: 0.8854 data_time: 0.1894 memory: 22238 grad_norm: 20.8172 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4846 loss: 1.4846 2022/07/31 16:15:29 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 16:15:29 - mmengine - INFO - Epoch(train) [21][1900/2505] lr: 5.0000e-04 eta: 1 day, 1:27:34 time: 1.1092 data_time: 0.3498 memory: 22238 grad_norm: 20.0687 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8028 loss: 1.8028 2022/07/31 16:15:46 - mmengine - INFO - Epoch(train) [21][1920/2505] lr: 5.0000e-04 eta: 1 day, 1:27:10 time: 0.8796 data_time: 0.1463 memory: 22238 grad_norm: 19.0473 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6190 loss: 1.6190 2022/07/31 16:16:09 - mmengine - INFO - Epoch(train) [21][1940/2505] lr: 5.0000e-04 eta: 1 day, 1:26:56 time: 1.1256 data_time: 0.1355 memory: 22238 grad_norm: 19.3158 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7716 loss: 1.7716 2022/07/31 16:16:26 - mmengine - INFO - Epoch(train) [21][1960/2505] lr: 5.0000e-04 eta: 1 day, 1:26:32 time: 0.8536 data_time: 0.0719 memory: 22238 grad_norm: 19.9135 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3696 loss: 1.3696 2022/07/31 16:16:48 - mmengine - INFO - Epoch(train) [21][1980/2505] lr: 5.0000e-04 eta: 1 day, 1:26:17 time: 1.1208 data_time: 0.1397 memory: 22238 grad_norm: 20.1450 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7856 loss: 1.7856 2022/07/31 16:17:06 - mmengine - INFO - Epoch(train) [21][2000/2505] lr: 5.0000e-04 eta: 1 day, 1:25:54 time: 0.8801 data_time: 0.0387 memory: 22238 grad_norm: 20.1288 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9716 loss: 1.9716 2022/07/31 16:17:28 - mmengine - INFO - Epoch(train) [21][2020/2505] lr: 5.0000e-04 eta: 1 day, 1:25:37 time: 1.0818 data_time: 0.0562 memory: 22238 grad_norm: 20.4624 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9125 loss: 1.9125 2022/07/31 16:17:45 - mmengine - INFO - Epoch(train) [21][2040/2505] lr: 5.0000e-04 eta: 1 day, 1:25:14 time: 0.8768 data_time: 0.0322 memory: 22238 grad_norm: 20.3094 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8322 loss: 1.8322 2022/07/31 16:18:07 - mmengine - INFO - Epoch(train) [21][2060/2505] lr: 5.0000e-04 eta: 1 day, 1:24:58 time: 1.0749 data_time: 0.0305 memory: 22238 grad_norm: 20.5556 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7111 loss: 1.7111 2022/07/31 16:18:24 - mmengine - INFO - Epoch(train) [21][2080/2505] lr: 5.0000e-04 eta: 1 day, 1:24:35 time: 0.8850 data_time: 0.0283 memory: 22238 grad_norm: 19.7378 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5602 loss: 1.5602 2022/07/31 16:18:45 - mmengine - INFO - Epoch(train) [21][2100/2505] lr: 5.0000e-04 eta: 1 day, 1:24:18 time: 1.0557 data_time: 0.0884 memory: 22238 grad_norm: 19.8776 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6668 loss: 1.6668 2022/07/31 16:19:04 - mmengine - INFO - Epoch(train) [21][2120/2505] lr: 5.0000e-04 eta: 1 day, 1:23:56 time: 0.9429 data_time: 0.0426 memory: 22238 grad_norm: 19.4458 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8829 loss: 1.8829 2022/07/31 16:19:25 - mmengine - INFO - Epoch(train) [21][2140/2505] lr: 5.0000e-04 eta: 1 day, 1:23:39 time: 1.0434 data_time: 0.0328 memory: 22238 grad_norm: 20.6523 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6757 loss: 1.6757 2022/07/31 16:19:45 - mmengine - INFO - Epoch(train) [21][2160/2505] lr: 5.0000e-04 eta: 1 day, 1:23:19 time: 0.9607 data_time: 0.0324 memory: 22238 grad_norm: 20.0225 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5439 loss: 1.5439 2022/07/31 16:20:06 - mmengine - INFO - Epoch(train) [21][2180/2505] lr: 5.0000e-04 eta: 1 day, 1:23:01 time: 1.0496 data_time: 0.0327 memory: 22238 grad_norm: 19.1238 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9779 loss: 1.9779 2022/07/31 16:20:23 - mmengine - INFO - Epoch(train) [21][2200/2505] lr: 5.0000e-04 eta: 1 day, 1:22:38 time: 0.8909 data_time: 0.0323 memory: 22238 grad_norm: 20.3721 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6668 loss: 1.6668 2022/07/31 16:20:44 - mmengine - INFO - Epoch(train) [21][2220/2505] lr: 5.0000e-04 eta: 1 day, 1:22:22 time: 1.0619 data_time: 0.0324 memory: 22238 grad_norm: 20.2705 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5912 loss: 1.5912 2022/07/31 16:21:03 - mmengine - INFO - Epoch(train) [21][2240/2505] lr: 5.0000e-04 eta: 1 day, 1:21:59 time: 0.9094 data_time: 0.0286 memory: 22238 grad_norm: 19.6867 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7597 loss: 1.7597 2022/07/31 16:21:23 - mmengine - INFO - Epoch(train) [21][2260/2505] lr: 5.0000e-04 eta: 1 day, 1:21:40 time: 0.9983 data_time: 0.0334 memory: 22238 grad_norm: 20.8277 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7107 loss: 1.7107 2022/07/31 16:21:43 - mmengine - INFO - Epoch(train) [21][2280/2505] lr: 5.0000e-04 eta: 1 day, 1:21:21 time: 1.0061 data_time: 0.0266 memory: 22238 grad_norm: 20.2699 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6338 loss: 1.6338 2022/07/31 16:22:02 - mmengine - INFO - Epoch(train) [21][2300/2505] lr: 5.0000e-04 eta: 1 day, 1:21:00 time: 0.9453 data_time: 0.0281 memory: 22238 grad_norm: 20.4145 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8537 loss: 1.8537 2022/07/31 16:22:22 - mmengine - INFO - Epoch(train) [21][2320/2505] lr: 5.0000e-04 eta: 1 day, 1:20:43 time: 1.0337 data_time: 0.0299 memory: 22238 grad_norm: 19.4501 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7159 loss: 1.7159 2022/07/31 16:22:40 - mmengine - INFO - Epoch(train) [21][2340/2505] lr: 5.0000e-04 eta: 1 day, 1:20:20 time: 0.8921 data_time: 0.0283 memory: 22238 grad_norm: 20.8946 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5665 loss: 1.5665 2022/07/31 16:23:02 - mmengine - INFO - Epoch(train) [21][2360/2505] lr: 5.0000e-04 eta: 1 day, 1:20:05 time: 1.1091 data_time: 0.0293 memory: 22238 grad_norm: 19.4988 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7499 loss: 1.7499 2022/07/31 16:23:20 - mmengine - INFO - Epoch(train) [21][2380/2505] lr: 5.0000e-04 eta: 1 day, 1:19:41 time: 0.8613 data_time: 0.0274 memory: 22238 grad_norm: 19.6658 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7099 loss: 1.7099 2022/07/31 16:23:41 - mmengine - INFO - Epoch(train) [21][2400/2505] lr: 5.0000e-04 eta: 1 day, 1:19:24 time: 1.0544 data_time: 0.0262 memory: 22238 grad_norm: 19.4969 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5689 loss: 1.5689 2022/07/31 16:23:59 - mmengine - INFO - Epoch(train) [21][2420/2505] lr: 5.0000e-04 eta: 1 day, 1:19:01 time: 0.8895 data_time: 0.0295 memory: 22238 grad_norm: 18.9391 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.8162 loss: 1.8162 2022/07/31 16:24:20 - mmengine - INFO - Epoch(train) [21][2440/2505] lr: 5.0000e-04 eta: 1 day, 1:18:45 time: 1.0920 data_time: 0.0275 memory: 22238 grad_norm: 19.7565 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7220 loss: 1.7220 2022/07/31 16:24:38 - mmengine - INFO - Epoch(train) [21][2460/2505] lr: 5.0000e-04 eta: 1 day, 1:18:22 time: 0.8847 data_time: 0.0279 memory: 22238 grad_norm: 19.9945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9386 loss: 1.9386 2022/07/31 16:24:59 - mmengine - INFO - Epoch(train) [21][2480/2505] lr: 5.0000e-04 eta: 1 day, 1:18:04 time: 1.0329 data_time: 0.0304 memory: 22238 grad_norm: 19.7710 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5909 loss: 1.5909 2022/07/31 16:25:15 - mmengine - INFO - Epoch(train) [21][2500/2505] lr: 5.0000e-04 eta: 1 day, 1:17:39 time: 0.8285 data_time: 0.0287 memory: 22238 grad_norm: 19.8987 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5381 loss: 1.5381 2022/07/31 16:25:17 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 16:25:17 - mmengine - INFO - Epoch(train) [21][2505/2505] lr: 5.0000e-04 eta: 1 day, 1:17:39 time: 0.7769 data_time: 0.0202 memory: 22238 grad_norm: 20.1868 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.7739 loss: 1.7739 2022/07/31 16:25:19 - mmengine - INFO - Epoch(val) [21][20/2475] eta: 0:04:36 time: 0.1128 data_time: 0.0949 memory: 564 2022/07/31 16:25:21 - mmengine - INFO - Epoch(val) [21][40/2475] eta: 0:03:09 time: 0.0777 data_time: 0.0585 memory: 564 2022/07/31 16:25:23 - mmengine - INFO - Epoch(val) [21][60/2475] eta: 0:03:37 time: 0.0901 data_time: 0.0675 memory: 564 2022/07/31 16:25:24 - mmengine - INFO - Epoch(val) [21][80/2475] eta: 0:02:39 time: 0.0665 data_time: 0.0484 memory: 564 2022/07/31 16:25:26 - mmengine - INFO - Epoch(val) [21][100/2475] eta: 0:04:03 time: 0.1025 data_time: 0.0824 memory: 564 2022/07/31 16:25:28 - mmengine - INFO - Epoch(val) [21][120/2475] eta: 0:02:28 time: 0.0629 data_time: 0.0446 memory: 564 2022/07/31 16:25:29 - mmengine - INFO - Epoch(val) [21][140/2475] eta: 0:03:18 time: 0.0850 data_time: 0.0655 memory: 564 2022/07/31 16:25:31 - mmengine - INFO - Epoch(val) [21][160/2475] eta: 0:03:05 time: 0.0801 data_time: 0.0598 memory: 564 2022/07/31 16:25:32 - mmengine - INFO - Epoch(val) [21][180/2475] eta: 0:03:00 time: 0.0788 data_time: 0.0576 memory: 564 2022/07/31 16:25:34 - mmengine - INFO - Epoch(val) [21][200/2475] eta: 0:03:12 time: 0.0848 data_time: 0.0642 memory: 564 2022/07/31 16:25:35 - mmengine - INFO - Epoch(val) [21][220/2475] eta: 0:02:26 time: 0.0648 data_time: 0.0464 memory: 564 2022/07/31 16:25:37 - mmengine - INFO - Epoch(val) [21][240/2475] eta: 0:03:27 time: 0.0927 data_time: 0.0732 memory: 564 2022/07/31 16:25:39 - mmengine - INFO - Epoch(val) [21][260/2475] eta: 0:02:33 time: 0.0693 data_time: 0.0510 memory: 564 2022/07/31 16:25:40 - mmengine - INFO - Epoch(val) [21][280/2475] eta: 0:03:18 time: 0.0904 data_time: 0.0697 memory: 564 2022/07/31 16:25:42 - mmengine - INFO - Epoch(val) [21][300/2475] eta: 0:02:32 time: 0.0700 data_time: 0.0518 memory: 564 2022/07/31 16:25:43 - mmengine - INFO - Epoch(val) [21][320/2475] eta: 0:02:57 time: 0.0822 data_time: 0.0623 memory: 564 2022/07/31 16:25:45 - mmengine - INFO - Epoch(val) [21][340/2475] eta: 0:02:48 time: 0.0788 data_time: 0.0595 memory: 564 2022/07/31 16:25:47 - mmengine - INFO - Epoch(val) [21][360/2475] eta: 0:02:58 time: 0.0842 data_time: 0.0623 memory: 564 2022/07/31 16:25:48 - mmengine - INFO - Epoch(val) [21][380/2475] eta: 0:02:38 time: 0.0758 data_time: 0.0555 memory: 564 2022/07/31 16:25:50 - mmengine - INFO - Epoch(val) [21][400/2475] eta: 0:03:11 time: 0.0922 data_time: 0.0733 memory: 564 2022/07/31 16:25:52 - mmengine - INFO - Epoch(val) [21][420/2475] eta: 0:02:33 time: 0.0746 data_time: 0.0563 memory: 564 2022/07/31 16:25:53 - mmengine - INFO - Epoch(val) [21][440/2475] eta: 0:03:05 time: 0.0911 data_time: 0.0699 memory: 564 2022/07/31 16:25:55 - mmengine - INFO - Epoch(val) [21][460/2475] eta: 0:02:24 time: 0.0718 data_time: 0.0535 memory: 564 2022/07/31 16:25:57 - mmengine - INFO - Epoch(val) [21][480/2475] eta: 0:03:04 time: 0.0924 data_time: 0.0743 memory: 564 2022/07/31 16:25:58 - 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mmengine - INFO - Epoch(val) [21][2060/2475] eta: 0:00:31 time: 0.0749 data_time: 0.0561 memory: 564 2022/07/31 16:28:07 - mmengine - INFO - Epoch(val) [21][2080/2475] eta: 0:00:35 time: 0.0889 data_time: 0.0683 memory: 564 2022/07/31 16:28:08 - mmengine - INFO - Epoch(val) [21][2100/2475] eta: 0:00:25 time: 0.0684 data_time: 0.0508 memory: 564 2022/07/31 16:28:10 - mmengine - INFO - Epoch(val) [21][2120/2475] eta: 0:00:33 time: 0.0940 data_time: 0.0761 memory: 564 2022/07/31 16:28:11 - mmengine - INFO - Epoch(val) [21][2140/2475] eta: 0:00:23 time: 0.0701 data_time: 0.0520 memory: 564 2022/07/31 16:28:13 - mmengine - INFO - Epoch(val) [21][2160/2475] eta: 0:00:27 time: 0.0886 data_time: 0.0703 memory: 564 2022/07/31 16:28:14 - mmengine - INFO - Epoch(val) [21][2180/2475] eta: 0:00:19 time: 0.0669 data_time: 0.0481 memory: 564 2022/07/31 16:28:16 - mmengine - INFO - Epoch(val) [21][2200/2475] eta: 0:00:27 time: 0.1016 data_time: 0.0821 memory: 564 2022/07/31 16:28:18 - mmengine - INFO - Epoch(val) [21][2220/2475] eta: 0:00:19 time: 0.0748 data_time: 0.0556 memory: 564 2022/07/31 16:28:20 - mmengine - INFO - Epoch(val) [21][2240/2475] eta: 0:00:19 time: 0.0837 data_time: 0.0629 memory: 564 2022/07/31 16:28:21 - mmengine - INFO - Epoch(val) [21][2260/2475] eta: 0:00:13 time: 0.0648 data_time: 0.0473 memory: 564 2022/07/31 16:28:23 - mmengine - INFO - Epoch(val) [21][2280/2475] eta: 0:00:17 time: 0.0906 data_time: 0.0714 memory: 564 2022/07/31 16:28:24 - mmengine - INFO - Epoch(val) [21][2300/2475] eta: 0:00:11 time: 0.0669 data_time: 0.0473 memory: 564 2022/07/31 16:28:26 - mmengine - INFO - Epoch(val) [21][2320/2475] eta: 0:00:14 time: 0.0912 data_time: 0.0744 memory: 564 2022/07/31 16:28:28 - mmengine - INFO - Epoch(val) [21][2340/2475] eta: 0:00:10 time: 0.0785 data_time: 0.0589 memory: 564 2022/07/31 16:28:29 - mmengine - INFO - Epoch(val) [21][2360/2475] eta: 0:00:09 time: 0.0845 data_time: 0.0655 memory: 564 2022/07/31 16:28:31 - mmengine - INFO - Epoch(val) [21][2380/2475] eta: 0:00:06 time: 0.0664 data_time: 0.0452 memory: 564 2022/07/31 16:28:32 - mmengine - INFO - Epoch(val) [21][2400/2475] eta: 0:00:06 time: 0.0888 data_time: 0.0625 memory: 564 2022/07/31 16:28:34 - mmengine - INFO - Epoch(val) [21][2420/2475] eta: 0:00:03 time: 0.0625 data_time: 0.0417 memory: 564 2022/07/31 16:28:35 - mmengine - INFO - Epoch(val) [21][2440/2475] eta: 0:00:03 time: 0.0958 data_time: 0.0768 memory: 564 2022/07/31 16:28:37 - mmengine - INFO - Epoch(val) [21][2460/2475] eta: 0:00:01 time: 0.0841 data_time: 0.0626 memory: 564 2022/07/31 16:28:40 - mmengine - INFO - Epoch(val) [21][2475/2475] acc/top1: 0.6552 acc/top5: 0.8627 acc/mean1: 0.6551 2022/07/31 16:29:06 - mmengine - INFO - Epoch(train) [22][20/2505] lr: 5.0000e-04 eta: 1 day, 1:17:16 time: 1.2806 data_time: 0.7728 memory: 22238 grad_norm: 19.8316 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5130 loss: 1.5130 2022/07/31 16:29:23 - mmengine - INFO - Epoch(train) [22][40/2505] lr: 5.0000e-04 eta: 1 day, 1:16:53 time: 0.8723 data_time: 0.3615 memory: 22238 grad_norm: 20.1640 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6637 loss: 1.6637 2022/07/31 16:29:46 - mmengine - INFO - Epoch(train) [22][60/2505] lr: 5.0000e-04 eta: 1 day, 1:16:39 time: 1.1508 data_time: 0.3891 memory: 22238 grad_norm: 19.3671 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6294 loss: 1.6294 2022/07/31 16:30:04 - mmengine - INFO - Epoch(train) [22][80/2505] lr: 5.0000e-04 eta: 1 day, 1:16:16 time: 0.8880 data_time: 0.1334 memory: 22238 grad_norm: 19.9472 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8997 loss: 1.8997 2022/07/31 16:30:27 - mmengine - INFO - Epoch(train) [22][100/2505] lr: 5.0000e-04 eta: 1 day, 1:16:02 time: 1.1346 data_time: 0.1378 memory: 22238 grad_norm: 19.9912 top1_acc: 0.1667 top5_acc: 0.8333 loss_cls: 1.7856 loss: 1.7856 2022/07/31 16:30:45 - mmengine - INFO - Epoch(train) [22][120/2505] lr: 5.0000e-04 eta: 1 day, 1:15:40 time: 0.9160 data_time: 0.0345 memory: 22238 grad_norm: 20.1284 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5945 loss: 1.5945 2022/07/31 16:31:07 - mmengine - INFO - Epoch(train) [22][140/2505] lr: 5.0000e-04 eta: 1 day, 1:15:23 time: 1.0635 data_time: 0.0302 memory: 22238 grad_norm: 20.3814 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7140 loss: 1.7140 2022/07/31 16:31:24 - mmengine - INFO - Epoch(train) [22][160/2505] lr: 5.0000e-04 eta: 1 day, 1:14:59 time: 0.8739 data_time: 0.0334 memory: 22238 grad_norm: 19.6158 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5587 loss: 1.5587 2022/07/31 16:31:46 - mmengine - INFO - Epoch(train) [22][180/2505] lr: 5.0000e-04 eta: 1 day, 1:14:43 time: 1.0898 data_time: 0.0304 memory: 22238 grad_norm: 19.8284 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8167 loss: 1.8167 2022/07/31 16:32:03 - mmengine - INFO - Epoch(train) [22][200/2505] lr: 5.0000e-04 eta: 1 day, 1:14:20 time: 0.8663 data_time: 0.0278 memory: 22238 grad_norm: 20.4937 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6656 loss: 1.6656 2022/07/31 16:32:24 - mmengine - INFO - Epoch(train) [22][220/2505] lr: 5.0000e-04 eta: 1 day, 1:14:02 time: 1.0327 data_time: 0.0282 memory: 22238 grad_norm: 20.1617 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4133 loss: 1.4133 2022/07/31 16:32:41 - mmengine - INFO - Epoch(train) [22][240/2505] lr: 5.0000e-04 eta: 1 day, 1:13:38 time: 0.8547 data_time: 0.0443 memory: 22238 grad_norm: 19.4277 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7155 loss: 1.7155 2022/07/31 16:33:03 - mmengine - INFO - Epoch(train) [22][260/2505] lr: 5.0000e-04 eta: 1 day, 1:13:22 time: 1.0886 data_time: 0.0936 memory: 22238 grad_norm: 19.6906 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6441 loss: 1.6441 2022/07/31 16:33:20 - mmengine - INFO - Epoch(train) [22][280/2505] lr: 5.0000e-04 eta: 1 day, 1:12:59 time: 0.8856 data_time: 0.1536 memory: 22238 grad_norm: 19.1946 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6191 loss: 1.6191 2022/07/31 16:33:43 - mmengine - INFO - Epoch(train) [22][300/2505] lr: 5.0000e-04 eta: 1 day, 1:12:44 time: 1.1311 data_time: 0.2839 memory: 22238 grad_norm: 19.1132 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7414 loss: 1.7414 2022/07/31 16:34:00 - mmengine - INFO - Epoch(train) [22][320/2505] lr: 5.0000e-04 eta: 1 day, 1:12:20 time: 0.8630 data_time: 0.2190 memory: 22238 grad_norm: 20.6620 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9843 loss: 1.9843 2022/07/31 16:34:23 - mmengine - INFO - Epoch(train) [22][340/2505] lr: 5.0000e-04 eta: 1 day, 1:12:06 time: 1.1251 data_time: 0.3788 memory: 22238 grad_norm: 20.8610 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6659 loss: 1.6659 2022/07/31 16:34:40 - mmengine - INFO - Epoch(train) [22][360/2505] lr: 5.0000e-04 eta: 1 day, 1:11:42 time: 0.8567 data_time: 0.2337 memory: 22238 grad_norm: 20.1549 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9551 loss: 1.9551 2022/07/31 16:35:02 - mmengine - INFO - Epoch(train) [22][380/2505] lr: 5.0000e-04 eta: 1 day, 1:11:27 time: 1.1291 data_time: 0.3686 memory: 22238 grad_norm: 20.0980 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9546 loss: 1.9546 2022/07/31 16:35:18 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 16:35:20 - mmengine - INFO - Epoch(train) [22][400/2505] lr: 5.0000e-04 eta: 1 day, 1:11:05 time: 0.9019 data_time: 0.2740 memory: 22238 grad_norm: 20.2757 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.9529 loss: 1.9529 2022/07/31 16:35:42 - mmengine - INFO - Epoch(train) [22][420/2505] lr: 5.0000e-04 eta: 1 day, 1:10:49 time: 1.0860 data_time: 0.4864 memory: 22238 grad_norm: 18.4597 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7231 loss: 1.7231 2022/07/31 16:36:00 - mmengine - INFO - Epoch(train) [22][440/2505] lr: 5.0000e-04 eta: 1 day, 1:10:26 time: 0.8897 data_time: 0.3786 memory: 22238 grad_norm: 19.7036 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6763 loss: 1.6763 2022/07/31 16:36:22 - mmengine - INFO - Epoch(train) [22][460/2505] lr: 5.0000e-04 eta: 1 day, 1:10:11 time: 1.1109 data_time: 0.6406 memory: 22238 grad_norm: 20.0107 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9356 loss: 1.9356 2022/07/31 16:36:39 - mmengine - INFO - Epoch(train) [22][480/2505] lr: 5.0000e-04 eta: 1 day, 1:09:47 time: 0.8568 data_time: 0.4381 memory: 22238 grad_norm: 19.8978 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5884 loss: 1.5884 2022/07/31 16:37:01 - mmengine - INFO - Epoch(train) [22][500/2505] lr: 5.0000e-04 eta: 1 day, 1:09:30 time: 1.0727 data_time: 0.5156 memory: 22238 grad_norm: 19.3831 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7654 loss: 1.7654 2022/07/31 16:37:18 - mmengine - INFO - Epoch(train) [22][520/2505] lr: 5.0000e-04 eta: 1 day, 1:09:07 time: 0.8810 data_time: 0.3327 memory: 22238 grad_norm: 20.2834 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.6016 loss: 1.6016 2022/07/31 16:37:40 - mmengine - INFO - Epoch(train) [22][540/2505] lr: 5.0000e-04 eta: 1 day, 1:08:50 time: 1.0670 data_time: 0.5279 memory: 22238 grad_norm: 20.7368 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5367 loss: 1.5367 2022/07/31 16:37:57 - mmengine - INFO - Epoch(train) [22][560/2505] lr: 5.0000e-04 eta: 1 day, 1:08:27 time: 0.8686 data_time: 0.3399 memory: 22238 grad_norm: 19.1637 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5813 loss: 1.5813 2022/07/31 16:38:19 - mmengine - INFO - Epoch(train) [22][580/2505] lr: 5.0000e-04 eta: 1 day, 1:08:10 time: 1.0675 data_time: 0.4495 memory: 22238 grad_norm: 20.8980 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7007 loss: 1.7007 2022/07/31 16:38:37 - mmengine - INFO - Epoch(train) [22][600/2505] lr: 5.0000e-04 eta: 1 day, 1:07:48 time: 0.9054 data_time: 0.2473 memory: 22238 grad_norm: 19.8672 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6078 loss: 1.6078 2022/07/31 16:38:58 - mmengine - INFO - Epoch(train) [22][620/2505] lr: 5.0000e-04 eta: 1 day, 1:07:32 time: 1.0921 data_time: 0.3111 memory: 22238 grad_norm: 19.4730 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.7010 loss: 1.7010 2022/07/31 16:39:16 - mmengine - INFO - Epoch(train) [22][640/2505] lr: 5.0000e-04 eta: 1 day, 1:07:09 time: 0.8809 data_time: 0.2137 memory: 22238 grad_norm: 19.7346 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5599 loss: 1.5599 2022/07/31 16:39:38 - mmengine - INFO - Epoch(train) [22][660/2505] lr: 5.0000e-04 eta: 1 day, 1:06:53 time: 1.0992 data_time: 0.4032 memory: 22238 grad_norm: 20.2884 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9456 loss: 1.9456 2022/07/31 16:39:56 - mmengine - INFO - Epoch(train) [22][680/2505] lr: 5.0000e-04 eta: 1 day, 1:06:30 time: 0.8776 data_time: 0.2831 memory: 22238 grad_norm: 19.4989 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4737 loss: 1.4737 2022/07/31 16:40:18 - mmengine - INFO - Epoch(train) [22][700/2505] lr: 5.0000e-04 eta: 1 day, 1:06:15 time: 1.1179 data_time: 0.3315 memory: 22238 grad_norm: 19.8579 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7097 loss: 1.7097 2022/07/31 16:40:36 - mmengine - INFO - Epoch(train) [22][720/2505] lr: 5.0000e-04 eta: 1 day, 1:05:51 time: 0.8773 data_time: 0.1643 memory: 22238 grad_norm: 20.0100 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6515 loss: 1.6515 2022/07/31 16:40:58 - mmengine - INFO - Epoch(train) [22][740/2505] lr: 5.0000e-04 eta: 1 day, 1:05:36 time: 1.0993 data_time: 0.1752 memory: 22238 grad_norm: 19.8408 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8666 loss: 1.8666 2022/07/31 16:41:15 - mmengine - INFO - Epoch(train) [22][760/2505] lr: 5.0000e-04 eta: 1 day, 1:05:13 time: 0.8783 data_time: 0.0531 memory: 22238 grad_norm: 19.4226 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7599 loss: 1.7599 2022/07/31 16:41:36 - mmengine - INFO - Epoch(train) [22][780/2505] lr: 5.0000e-04 eta: 1 day, 1:04:55 time: 1.0470 data_time: 0.0304 memory: 22238 grad_norm: 20.4890 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7244 loss: 1.7244 2022/07/31 16:41:53 - mmengine - INFO - Epoch(train) [22][800/2505] lr: 5.0000e-04 eta: 1 day, 1:04:31 time: 0.8618 data_time: 0.0270 memory: 22238 grad_norm: 19.6101 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3428 loss: 1.3428 2022/07/31 16:42:15 - mmengine - INFO - Epoch(train) [22][820/2505] lr: 5.0000e-04 eta: 1 day, 1:04:16 time: 1.0943 data_time: 0.0529 memory: 22238 grad_norm: 20.5990 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7219 loss: 1.7219 2022/07/31 16:42:32 - mmengine - INFO - Epoch(train) [22][840/2505] lr: 5.0000e-04 eta: 1 day, 1:03:51 time: 0.8469 data_time: 0.0550 memory: 22238 grad_norm: 19.9178 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7565 loss: 1.7565 2022/07/31 16:42:54 - mmengine - INFO - Epoch(train) [22][860/2505] lr: 5.0000e-04 eta: 1 day, 1:03:36 time: 1.1054 data_time: 0.0379 memory: 22238 grad_norm: 19.5641 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6506 loss: 1.6506 2022/07/31 16:43:11 - mmengine - INFO - Epoch(train) [22][880/2505] lr: 5.0000e-04 eta: 1 day, 1:03:12 time: 0.8551 data_time: 0.0496 memory: 22238 grad_norm: 19.2967 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6977 loss: 1.6977 2022/07/31 16:43:35 - mmengine - INFO - Epoch(train) [22][900/2505] lr: 5.0000e-04 eta: 1 day, 1:02:58 time: 1.1586 data_time: 0.0901 memory: 22238 grad_norm: 18.7016 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5978 loss: 1.5978 2022/07/31 16:43:51 - mmengine - INFO - Epoch(train) [22][920/2505] lr: 5.0000e-04 eta: 1 day, 1:02:34 time: 0.8473 data_time: 0.0919 memory: 22238 grad_norm: 20.1611 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5419 loss: 1.5419 2022/07/31 16:44:14 - mmengine - INFO - Epoch(train) [22][940/2505] lr: 5.0000e-04 eta: 1 day, 1:02:18 time: 1.0985 data_time: 0.1229 memory: 22238 grad_norm: 20.1089 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8516 loss: 1.8516 2022/07/31 16:44:31 - mmengine - INFO - Epoch(train) [22][960/2505] lr: 5.0000e-04 eta: 1 day, 1:01:54 time: 0.8575 data_time: 0.0738 memory: 22238 grad_norm: 19.0359 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6239 loss: 1.6239 2022/07/31 16:44:53 - mmengine - INFO - Epoch(train) [22][980/2505] lr: 5.0000e-04 eta: 1 day, 1:01:39 time: 1.0967 data_time: 0.0287 memory: 22238 grad_norm: 19.4388 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5929 loss: 1.5929 2022/07/31 16:45:11 - mmengine - INFO - Epoch(train) [22][1000/2505] lr: 5.0000e-04 eta: 1 day, 1:01:17 time: 0.9141 data_time: 0.0411 memory: 22238 grad_norm: 19.3742 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7636 loss: 1.7636 2022/07/31 16:45:32 - mmengine - INFO - Epoch(train) [22][1020/2505] lr: 5.0000e-04 eta: 1 day, 1:01:00 time: 1.0773 data_time: 0.1021 memory: 22238 grad_norm: 19.6546 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5334 loss: 1.5334 2022/07/31 16:45:50 - mmengine - INFO - Epoch(train) [22][1040/2505] lr: 5.0000e-04 eta: 1 day, 1:00:38 time: 0.9046 data_time: 0.0728 memory: 22238 grad_norm: 21.0203 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6448 loss: 1.6448 2022/07/31 16:46:12 - mmengine - INFO - Epoch(train) [22][1060/2505] lr: 5.0000e-04 eta: 1 day, 1:00:22 time: 1.0929 data_time: 0.0553 memory: 22238 grad_norm: 19.8955 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6872 loss: 1.6872 2022/07/31 16:46:30 - mmengine - INFO - Epoch(train) [22][1080/2505] lr: 5.0000e-04 eta: 1 day, 0:59:59 time: 0.8934 data_time: 0.0316 memory: 22238 grad_norm: 19.1296 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6190 loss: 1.6190 2022/07/31 16:46:52 - mmengine - INFO - Epoch(train) [22][1100/2505] lr: 5.0000e-04 eta: 1 day, 0:59:43 time: 1.0758 data_time: 0.0298 memory: 22238 grad_norm: 19.9920 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7068 loss: 1.7068 2022/07/31 16:47:09 - mmengine - INFO - Epoch(train) [22][1120/2505] lr: 5.0000e-04 eta: 1 day, 0:59:19 time: 0.8708 data_time: 0.0324 memory: 22238 grad_norm: 20.2922 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6227 loss: 1.6227 2022/07/31 16:47:31 - mmengine - INFO - Epoch(train) [22][1140/2505] lr: 5.0000e-04 eta: 1 day, 0:59:04 time: 1.1049 data_time: 0.0284 memory: 22238 grad_norm: 20.1074 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6034 loss: 1.6034 2022/07/31 16:47:49 - mmengine - INFO - Epoch(train) [22][1160/2505] lr: 5.0000e-04 eta: 1 day, 0:58:40 time: 0.8653 data_time: 0.0323 memory: 22238 grad_norm: 19.3151 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4975 loss: 1.4975 2022/07/31 16:48:10 - mmengine - INFO - Epoch(train) [22][1180/2505] lr: 5.0000e-04 eta: 1 day, 0:58:24 time: 1.0868 data_time: 0.0462 memory: 22238 grad_norm: 18.8346 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5955 loss: 1.5955 2022/07/31 16:48:28 - mmengine - INFO - Epoch(train) [22][1200/2505] lr: 5.0000e-04 eta: 1 day, 0:58:01 time: 0.8768 data_time: 0.0332 memory: 22238 grad_norm: 19.7000 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6457 loss: 1.6457 2022/07/31 16:48:50 - mmengine - INFO - Epoch(train) [22][1220/2505] lr: 5.0000e-04 eta: 1 day, 0:57:45 time: 1.1023 data_time: 0.0300 memory: 22238 grad_norm: 19.2904 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8319 loss: 1.8319 2022/07/31 16:49:07 - mmengine - INFO - Epoch(train) [22][1240/2505] lr: 5.0000e-04 eta: 1 day, 0:57:22 time: 0.8649 data_time: 0.0283 memory: 22238 grad_norm: 19.4154 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6588 loss: 1.6588 2022/07/31 16:49:29 - mmengine - INFO - Epoch(train) [22][1260/2505] lr: 5.0000e-04 eta: 1 day, 0:57:06 time: 1.1076 data_time: 0.0348 memory: 22238 grad_norm: 20.1979 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9386 loss: 1.9386 2022/07/31 16:49:47 - mmengine - INFO - Epoch(train) [22][1280/2505] lr: 5.0000e-04 eta: 1 day, 0:56:43 time: 0.8886 data_time: 0.0295 memory: 22238 grad_norm: 19.4250 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7263 loss: 1.7263 2022/07/31 16:50:09 - mmengine - INFO - Epoch(train) [22][1300/2505] lr: 5.0000e-04 eta: 1 day, 0:56:28 time: 1.1074 data_time: 0.0300 memory: 22238 grad_norm: 19.4736 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6592 loss: 1.6592 2022/07/31 16:50:27 - mmengine - INFO - Epoch(train) [22][1320/2505] lr: 5.0000e-04 eta: 1 day, 0:56:04 time: 0.8571 data_time: 0.0297 memory: 22238 grad_norm: 19.8276 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8874 loss: 1.8874 2022/07/31 16:50:48 - mmengine - INFO - Epoch(train) [22][1340/2505] lr: 5.0000e-04 eta: 1 day, 0:55:48 time: 1.0878 data_time: 0.0364 memory: 22238 grad_norm: 19.1323 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4582 loss: 1.4582 2022/07/31 16:51:06 - mmengine - INFO - Epoch(train) [22][1360/2505] lr: 5.0000e-04 eta: 1 day, 0:55:25 time: 0.8680 data_time: 0.0303 memory: 22238 grad_norm: 19.2512 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7817 loss: 1.7817 2022/07/31 16:51:27 - mmengine - INFO - Epoch(train) [22][1380/2505] lr: 5.0000e-04 eta: 1 day, 0:55:08 time: 1.0857 data_time: 0.0335 memory: 22238 grad_norm: 19.6015 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6167 loss: 1.6167 2022/07/31 16:51:42 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 16:51:45 - mmengine - INFO - Epoch(train) [22][1400/2505] lr: 5.0000e-04 eta: 1 day, 0:54:45 time: 0.8653 data_time: 0.0276 memory: 22238 grad_norm: 20.4225 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8599 loss: 1.8599 2022/07/31 16:52:06 - mmengine - INFO - Epoch(train) [22][1420/2505] lr: 5.0000e-04 eta: 1 day, 0:54:28 time: 1.0547 data_time: 0.0326 memory: 22238 grad_norm: 20.4203 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.5763 loss: 1.5763 2022/07/31 16:52:23 - mmengine - INFO - Epoch(train) [22][1440/2505] lr: 5.0000e-04 eta: 1 day, 0:54:04 time: 0.8688 data_time: 0.0380 memory: 22238 grad_norm: 20.5592 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7885 loss: 1.7885 2022/07/31 16:52:46 - mmengine - INFO - Epoch(train) [22][1460/2505] lr: 5.0000e-04 eta: 1 day, 0:53:50 time: 1.1413 data_time: 0.1510 memory: 22238 grad_norm: 19.9917 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7564 loss: 1.7564 2022/07/31 16:53:03 - mmengine - INFO - Epoch(train) [22][1480/2505] lr: 5.0000e-04 eta: 1 day, 0:53:26 time: 0.8530 data_time: 0.1189 memory: 22238 grad_norm: 20.4454 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6051 loss: 1.6051 2022/07/31 16:53:25 - mmengine - INFO - Epoch(train) [22][1500/2505] lr: 5.0000e-04 eta: 1 day, 0:53:10 time: 1.0901 data_time: 0.0614 memory: 22238 grad_norm: 19.7820 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6193 loss: 1.6193 2022/07/31 16:53:43 - mmengine - INFO - Epoch(train) [22][1520/2505] lr: 5.0000e-04 eta: 1 day, 0:52:48 time: 0.9219 data_time: 0.0289 memory: 22238 grad_norm: 19.3592 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6862 loss: 1.6862 2022/07/31 16:54:05 - mmengine - INFO - Epoch(train) [22][1540/2505] lr: 5.0000e-04 eta: 1 day, 0:52:32 time: 1.0858 data_time: 0.0310 memory: 22238 grad_norm: 19.1549 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5575 loss: 1.5575 2022/07/31 16:54:22 - mmengine - INFO - Epoch(train) [22][1560/2505] lr: 5.0000e-04 eta: 1 day, 0:52:08 time: 0.8456 data_time: 0.0298 memory: 22238 grad_norm: 19.4968 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7619 loss: 1.7619 2022/07/31 16:54:43 - mmengine - INFO - Epoch(train) [22][1580/2505] lr: 5.0000e-04 eta: 1 day, 0:51:51 time: 1.0633 data_time: 0.0325 memory: 22238 grad_norm: 20.4746 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7752 loss: 1.7752 2022/07/31 16:55:01 - mmengine - INFO - Epoch(train) [22][1600/2505] lr: 5.0000e-04 eta: 1 day, 0:51:27 time: 0.8725 data_time: 0.0290 memory: 22238 grad_norm: 19.5885 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6485 loss: 1.6485 2022/07/31 16:55:23 - mmengine - INFO - Epoch(train) [22][1620/2505] lr: 5.0000e-04 eta: 1 day, 0:51:13 time: 1.1328 data_time: 0.0351 memory: 22238 grad_norm: 20.2982 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6157 loss: 1.6157 2022/07/31 16:55:41 - mmengine - INFO - Epoch(train) [22][1640/2505] lr: 5.0000e-04 eta: 1 day, 0:50:50 time: 0.8843 data_time: 0.0288 memory: 22238 grad_norm: 20.1304 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8438 loss: 1.8438 2022/07/31 16:56:03 - mmengine - INFO - Epoch(train) [22][1660/2505] lr: 5.0000e-04 eta: 1 day, 0:50:34 time: 1.0947 data_time: 0.0346 memory: 22238 grad_norm: 19.6768 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7951 loss: 1.7951 2022/07/31 16:56:20 - mmengine - INFO - Epoch(train) [22][1680/2505] lr: 5.0000e-04 eta: 1 day, 0:50:10 time: 0.8430 data_time: 0.0297 memory: 22238 grad_norm: 19.6489 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5676 loss: 1.5676 2022/07/31 16:56:42 - mmengine - INFO - Epoch(train) [22][1700/2505] lr: 5.0000e-04 eta: 1 day, 0:49:54 time: 1.1148 data_time: 0.0367 memory: 22238 grad_norm: 19.3170 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6545 loss: 1.6545 2022/07/31 16:56:59 - mmengine - INFO - Epoch(train) [22][1720/2505] lr: 5.0000e-04 eta: 1 day, 0:49:30 time: 0.8396 data_time: 0.0286 memory: 22238 grad_norm: 19.3671 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0005 loss: 2.0005 2022/07/31 16:57:20 - mmengine - INFO - Epoch(train) [22][1740/2505] lr: 5.0000e-04 eta: 1 day, 0:49:14 time: 1.0849 data_time: 0.0309 memory: 22238 grad_norm: 20.2884 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5142 loss: 1.5142 2022/07/31 16:57:38 - mmengine - INFO - Epoch(train) [22][1760/2505] lr: 5.0000e-04 eta: 1 day, 0:48:51 time: 0.8833 data_time: 0.0310 memory: 22238 grad_norm: 19.2376 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5829 loss: 1.5829 2022/07/31 16:58:00 - mmengine - INFO - Epoch(train) [22][1780/2505] lr: 5.0000e-04 eta: 1 day, 0:48:35 time: 1.0975 data_time: 0.0292 memory: 22238 grad_norm: 19.5973 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7115 loss: 1.7115 2022/07/31 16:58:18 - mmengine - INFO - Epoch(train) [22][1800/2505] lr: 5.0000e-04 eta: 1 day, 0:48:13 time: 0.9066 data_time: 0.0281 memory: 22238 grad_norm: 19.6137 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5812 loss: 1.5812 2022/07/31 16:58:40 - mmengine - INFO - Epoch(train) [22][1820/2505] lr: 5.0000e-04 eta: 1 day, 0:47:56 time: 1.0733 data_time: 0.0302 memory: 22238 grad_norm: 19.7209 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6471 loss: 1.6471 2022/07/31 16:58:58 - mmengine - INFO - Epoch(train) [22][1840/2505] lr: 5.0000e-04 eta: 1 day, 0:47:34 time: 0.8939 data_time: 0.0264 memory: 22238 grad_norm: 19.4400 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6516 loss: 1.6516 2022/07/31 16:59:20 - mmengine - INFO - Epoch(train) [22][1860/2505] lr: 5.0000e-04 eta: 1 day, 0:47:18 time: 1.1081 data_time: 0.0285 memory: 22238 grad_norm: 19.4342 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6418 loss: 1.6418 2022/07/31 16:59:37 - mmengine - INFO - Epoch(train) [22][1880/2505] lr: 5.0000e-04 eta: 1 day, 0:46:54 time: 0.8499 data_time: 0.0322 memory: 22238 grad_norm: 20.0163 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6837 loss: 1.6837 2022/07/31 16:59:58 - mmengine - INFO - Epoch(train) [22][1900/2505] lr: 5.0000e-04 eta: 1 day, 0:46:37 time: 1.0693 data_time: 0.0311 memory: 22238 grad_norm: 19.2708 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5408 loss: 1.5408 2022/07/31 17:00:15 - mmengine - INFO - Epoch(train) [22][1920/2505] lr: 5.0000e-04 eta: 1 day, 0:46:14 time: 0.8616 data_time: 0.0315 memory: 22238 grad_norm: 20.2932 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8396 loss: 1.8396 2022/07/31 17:00:37 - mmengine - INFO - Epoch(train) [22][1940/2505] lr: 5.0000e-04 eta: 1 day, 0:45:58 time: 1.0953 data_time: 0.0303 memory: 22238 grad_norm: 19.7097 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7647 loss: 1.7647 2022/07/31 17:00:55 - mmengine - INFO - Epoch(train) [22][1960/2505] lr: 5.0000e-04 eta: 1 day, 0:45:35 time: 0.8920 data_time: 0.0318 memory: 22238 grad_norm: 19.7951 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7912 loss: 1.7912 2022/07/31 17:01:17 - mmengine - INFO - Epoch(train) [22][1980/2505] lr: 5.0000e-04 eta: 1 day, 0:45:19 time: 1.1016 data_time: 0.0300 memory: 22238 grad_norm: 19.4622 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7015 loss: 1.7015 2022/07/31 17:01:34 - mmengine - INFO - Epoch(train) [22][2000/2505] lr: 5.0000e-04 eta: 1 day, 0:44:55 time: 0.8280 data_time: 0.0328 memory: 22238 grad_norm: 20.3984 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7873 loss: 1.7873 2022/07/31 17:01:55 - mmengine - INFO - Epoch(train) [22][2020/2505] lr: 5.0000e-04 eta: 1 day, 0:44:38 time: 1.0754 data_time: 0.0520 memory: 22238 grad_norm: 19.6369 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5584 loss: 1.5584 2022/07/31 17:02:12 - mmengine - INFO - Epoch(train) [22][2040/2505] lr: 5.0000e-04 eta: 1 day, 0:44:13 time: 0.8266 data_time: 0.1287 memory: 22238 grad_norm: 19.4006 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6996 loss: 1.6996 2022/07/31 17:02:33 - mmengine - INFO - Epoch(train) [22][2060/2505] lr: 5.0000e-04 eta: 1 day, 0:43:57 time: 1.0833 data_time: 0.1796 memory: 22238 grad_norm: 19.8500 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6847 loss: 1.6847 2022/07/31 17:02:51 - mmengine - INFO - Epoch(train) [22][2080/2505] lr: 5.0000e-04 eta: 1 day, 0:43:33 time: 0.8530 data_time: 0.1934 memory: 22238 grad_norm: 19.4570 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6317 loss: 1.6317 2022/07/31 17:03:13 - mmengine - INFO - Epoch(train) [22][2100/2505] lr: 5.0000e-04 eta: 1 day, 0:43:18 time: 1.1148 data_time: 0.3374 memory: 22238 grad_norm: 19.5358 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8679 loss: 1.8679 2022/07/31 17:03:30 - mmengine - INFO - Epoch(train) [22][2120/2505] lr: 5.0000e-04 eta: 1 day, 0:42:54 time: 0.8521 data_time: 0.2698 memory: 22238 grad_norm: 20.2133 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5474 loss: 1.5474 2022/07/31 17:03:54 - mmengine - INFO - Epoch(train) [22][2140/2505] lr: 5.0000e-04 eta: 1 day, 0:42:41 time: 1.1843 data_time: 0.3205 memory: 22238 grad_norm: 19.8634 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8831 loss: 1.8831 2022/07/31 17:04:11 - mmengine - INFO - Epoch(train) [22][2160/2505] lr: 5.0000e-04 eta: 1 day, 0:42:17 time: 0.8700 data_time: 0.0740 memory: 22238 grad_norm: 19.4443 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.6617 loss: 1.6617 2022/07/31 17:04:33 - mmengine - INFO - Epoch(train) [22][2180/2505] lr: 5.0000e-04 eta: 1 day, 0:42:01 time: 1.0906 data_time: 0.0276 memory: 22238 grad_norm: 19.0033 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5862 loss: 1.5862 2022/07/31 17:04:51 - mmengine - INFO - Epoch(train) [22][2200/2505] lr: 5.0000e-04 eta: 1 day, 0:41:38 time: 0.8879 data_time: 0.0282 memory: 22238 grad_norm: 19.4581 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7336 loss: 1.7336 2022/07/31 17:05:13 - mmengine - INFO - Epoch(train) [22][2220/2505] lr: 5.0000e-04 eta: 1 day, 0:41:24 time: 1.1351 data_time: 0.0309 memory: 22238 grad_norm: 19.6502 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.7500 loss: 1.7500 2022/07/31 17:05:31 - mmengine - INFO - Epoch(train) [22][2240/2505] lr: 5.0000e-04 eta: 1 day, 0:41:00 time: 0.8663 data_time: 0.0284 memory: 22238 grad_norm: 19.6958 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6083 loss: 1.6083 2022/07/31 17:05:52 - mmengine - INFO - Epoch(train) [22][2260/2505] lr: 5.0000e-04 eta: 1 day, 0:40:44 time: 1.0787 data_time: 0.0288 memory: 22238 grad_norm: 19.9992 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5773 loss: 1.5773 2022/07/31 17:06:09 - mmengine - INFO - Epoch(train) [22][2280/2505] lr: 5.0000e-04 eta: 1 day, 0:40:20 time: 0.8668 data_time: 0.0288 memory: 22238 grad_norm: 19.1563 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9209 loss: 1.9209 2022/07/31 17:06:31 - mmengine - INFO - Epoch(train) [22][2300/2505] lr: 5.0000e-04 eta: 1 day, 0:40:04 time: 1.0723 data_time: 0.0314 memory: 22238 grad_norm: 20.4261 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6595 loss: 1.6595 2022/07/31 17:06:49 - mmengine - INFO - Epoch(train) [22][2320/2505] lr: 5.0000e-04 eta: 1 day, 0:39:41 time: 0.9042 data_time: 0.0277 memory: 22238 grad_norm: 20.4416 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6034 loss: 1.6034 2022/07/31 17:07:11 - mmengine - INFO - Epoch(train) [22][2340/2505] lr: 5.0000e-04 eta: 1 day, 0:39:25 time: 1.0862 data_time: 0.0280 memory: 22238 grad_norm: 20.4921 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7854 loss: 1.7854 2022/07/31 17:07:27 - mmengine - INFO - Epoch(train) [22][2360/2505] lr: 5.0000e-04 eta: 1 day, 0:39:01 time: 0.8366 data_time: 0.0292 memory: 22238 grad_norm: 19.4086 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7572 loss: 1.7572 2022/07/31 17:07:49 - mmengine - INFO - Epoch(train) [22][2380/2505] lr: 5.0000e-04 eta: 1 day, 0:38:45 time: 1.0962 data_time: 0.0283 memory: 22238 grad_norm: 20.0471 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7084 loss: 1.7084 2022/07/31 17:08:00 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 17:08:06 - mmengine - INFO - Epoch(train) [22][2400/2505] lr: 5.0000e-04 eta: 1 day, 0:38:21 time: 0.8480 data_time: 0.0279 memory: 22238 grad_norm: 19.6485 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.4446 loss: 1.4446 2022/07/31 17:08:28 - mmengine - INFO - Epoch(train) [22][2420/2505] lr: 5.0000e-04 eta: 1 day, 0:38:05 time: 1.0915 data_time: 0.0277 memory: 22238 grad_norm: 18.9875 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.7104 loss: 1.7104 2022/07/31 17:08:45 - mmengine - INFO - Epoch(train) [22][2440/2505] lr: 5.0000e-04 eta: 1 day, 0:37:41 time: 0.8546 data_time: 0.0289 memory: 22238 grad_norm: 19.1098 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7044 loss: 1.7044 2022/07/31 17:09:06 - mmengine - INFO - Epoch(train) [22][2460/2505] lr: 5.0000e-04 eta: 1 day, 0:37:23 time: 1.0452 data_time: 0.1039 memory: 22238 grad_norm: 20.1975 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5917 loss: 1.5917 2022/07/31 17:09:24 - mmengine - INFO - Epoch(train) [22][2480/2505] lr: 5.0000e-04 eta: 1 day, 0:37:00 time: 0.8703 data_time: 0.1049 memory: 22238 grad_norm: 19.4566 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.5556 loss: 1.5556 2022/07/31 17:09:41 - mmengine - INFO - Epoch(train) [22][2500/2505] lr: 5.0000e-04 eta: 1 day, 0:36:36 time: 0.8507 data_time: 0.0945 memory: 22238 grad_norm: 19.4529 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7180 loss: 1.7180 2022/07/31 17:09:43 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 17:09:43 - mmengine - INFO - Epoch(train) [22][2505/2505] lr: 5.0000e-04 eta: 1 day, 0:36:36 time: 0.6088 data_time: 0.0489 memory: 22238 grad_norm: 19.6496 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.6779 loss: 1.6779 2022/07/31 17:09:43 - mmengine - INFO - Saving checkpoint at 22 epochs 2022/07/31 17:10:12 - mmengine - INFO - Epoch(train) [23][20/2505] lr: 5.0000e-04 eta: 1 day, 0:36:14 time: 1.3035 data_time: 0.9039 memory: 22238 grad_norm: 19.5699 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7287 loss: 1.7287 2022/07/31 17:10:29 - mmengine - INFO - Epoch(train) [23][40/2505] lr: 5.0000e-04 eta: 1 day, 0:35:50 time: 0.8588 data_time: 0.4571 memory: 22238 grad_norm: 20.3954 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6981 loss: 1.6981 2022/07/31 17:10:51 - mmengine - INFO - Epoch(train) [23][60/2505] lr: 5.0000e-04 eta: 1 day, 0:35:34 time: 1.0857 data_time: 0.6811 memory: 22238 grad_norm: 19.0595 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6137 loss: 1.6137 2022/07/31 17:11:08 - mmengine - INFO - Epoch(train) [23][80/2505] lr: 5.0000e-04 eta: 1 day, 0:35:11 time: 0.8651 data_time: 0.4718 memory: 22238 grad_norm: 19.5710 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4250 loss: 1.4250 2022/07/31 17:11:30 - mmengine - INFO - Epoch(train) [23][100/2505] lr: 5.0000e-04 eta: 1 day, 0:34:54 time: 1.0933 data_time: 0.6993 memory: 22238 grad_norm: 19.9078 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6446 loss: 1.6446 2022/07/31 17:11:47 - mmengine - INFO - Epoch(train) [23][120/2505] lr: 5.0000e-04 eta: 1 day, 0:34:31 time: 0.8676 data_time: 0.4626 memory: 22238 grad_norm: 19.4430 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7023 loss: 1.7023 2022/07/31 17:12:08 - mmengine - INFO - Epoch(train) [23][140/2505] lr: 5.0000e-04 eta: 1 day, 0:34:14 time: 1.0535 data_time: 0.6496 memory: 22238 grad_norm: 19.6218 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5614 loss: 1.5614 2022/07/31 17:12:25 - mmengine - INFO - Epoch(train) [23][160/2505] lr: 5.0000e-04 eta: 1 day, 0:33:49 time: 0.8390 data_time: 0.4506 memory: 22238 grad_norm: 19.4589 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7721 loss: 1.7721 2022/07/31 17:12:48 - mmengine - INFO - Epoch(train) [23][180/2505] lr: 5.0000e-04 eta: 1 day, 0:33:34 time: 1.1237 data_time: 0.7168 memory: 22238 grad_norm: 19.4240 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3962 loss: 1.3962 2022/07/31 17:13:05 - mmengine - INFO - Epoch(train) [23][200/2505] lr: 5.0000e-04 eta: 1 day, 0:33:10 time: 0.8506 data_time: 0.4625 memory: 22238 grad_norm: 19.7572 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8974 loss: 1.8974 2022/07/31 17:13:26 - mmengine - INFO - Epoch(train) [23][220/2505] lr: 5.0000e-04 eta: 1 day, 0:32:53 time: 1.0628 data_time: 0.6588 memory: 22238 grad_norm: 20.0425 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6813 loss: 1.6813 2022/07/31 17:13:44 - mmengine - INFO - Epoch(train) [23][240/2505] lr: 5.0000e-04 eta: 1 day, 0:32:31 time: 0.8829 data_time: 0.4860 memory: 22238 grad_norm: 19.4218 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6363 loss: 1.6363 2022/07/31 17:14:06 - mmengine - INFO - Epoch(train) [23][260/2505] lr: 5.0000e-04 eta: 1 day, 0:32:15 time: 1.1051 data_time: 0.7086 memory: 22238 grad_norm: 20.8355 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6640 loss: 1.6640 2022/07/31 17:14:23 - mmengine - INFO - Epoch(train) [23][280/2505] lr: 5.0000e-04 eta: 1 day, 0:31:52 time: 0.8762 data_time: 0.4802 memory: 22238 grad_norm: 20.3001 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6592 loss: 1.6592 2022/07/31 17:14:45 - mmengine - INFO - Epoch(train) [23][300/2505] lr: 5.0000e-04 eta: 1 day, 0:31:36 time: 1.0865 data_time: 0.6813 memory: 22238 grad_norm: 20.9773 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7691 loss: 1.7691 2022/07/31 17:15:03 - mmengine - INFO - Epoch(train) [23][320/2505] lr: 5.0000e-04 eta: 1 day, 0:31:13 time: 0.8958 data_time: 0.4964 memory: 22238 grad_norm: 19.6277 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6563 loss: 1.6563 2022/07/31 17:15:24 - mmengine - INFO - Epoch(train) [23][340/2505] lr: 5.0000e-04 eta: 1 day, 0:30:56 time: 1.0657 data_time: 0.6542 memory: 22238 grad_norm: 19.1901 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5991 loss: 1.5991 2022/07/31 17:15:42 - mmengine - INFO - Epoch(train) [23][360/2505] lr: 5.0000e-04 eta: 1 day, 0:30:33 time: 0.8730 data_time: 0.4669 memory: 22238 grad_norm: 20.4294 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8240 loss: 1.8240 2022/07/31 17:16:04 - mmengine - INFO - Epoch(train) [23][380/2505] lr: 5.0000e-04 eta: 1 day, 0:30:18 time: 1.1348 data_time: 0.6863 memory: 22238 grad_norm: 18.8866 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5547 loss: 1.5547 2022/07/31 17:16:21 - mmengine - INFO - Epoch(train) [23][400/2505] lr: 5.0000e-04 eta: 1 day, 0:29:54 time: 0.8267 data_time: 0.4410 memory: 22238 grad_norm: 20.2952 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6808 loss: 1.6808 2022/07/31 17:16:43 - mmengine - INFO - Epoch(train) [23][420/2505] lr: 5.0000e-04 eta: 1 day, 0:29:38 time: 1.1120 data_time: 0.7234 memory: 22238 grad_norm: 19.9771 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7490 loss: 1.7490 2022/07/31 17:17:01 - mmengine - INFO - Epoch(train) [23][440/2505] lr: 5.0000e-04 eta: 1 day, 0:29:15 time: 0.8694 data_time: 0.4874 memory: 22238 grad_norm: 19.2420 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7062 loss: 1.7062 2022/07/31 17:17:23 - mmengine - INFO - Epoch(train) [23][460/2505] lr: 5.0000e-04 eta: 1 day, 0:28:59 time: 1.1019 data_time: 0.7073 memory: 22238 grad_norm: 19.7914 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.5640 loss: 1.5640 2022/07/31 17:17:40 - mmengine - INFO - Epoch(train) [23][480/2505] lr: 5.0000e-04 eta: 1 day, 0:28:36 time: 0.8786 data_time: 0.4054 memory: 22238 grad_norm: 19.2317 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5857 loss: 1.5857 2022/07/31 17:18:02 - mmengine - INFO - Epoch(train) [23][500/2505] lr: 5.0000e-04 eta: 1 day, 0:28:19 time: 1.0727 data_time: 0.3855 memory: 22238 grad_norm: 20.3014 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4596 loss: 1.4596 2022/07/31 17:18:19 - mmengine - INFO - Epoch(train) [23][520/2505] lr: 5.0000e-04 eta: 1 day, 0:27:57 time: 0.8914 data_time: 0.2366 memory: 22238 grad_norm: 20.8656 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.5678 loss: 1.5678 2022/07/31 17:18:41 - mmengine - INFO - Epoch(train) [23][540/2505] lr: 5.0000e-04 eta: 1 day, 0:27:41 time: 1.1042 data_time: 0.2623 memory: 22238 grad_norm: 20.1699 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.0202 loss: 2.0202 2022/07/31 17:18:59 - mmengine - INFO - Epoch(train) [23][560/2505] lr: 5.0000e-04 eta: 1 day, 0:27:18 time: 0.8726 data_time: 0.1019 memory: 22238 grad_norm: 18.9023 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7881 loss: 1.7881 2022/07/31 17:19:21 - mmengine - INFO - Epoch(train) [23][580/2505] lr: 5.0000e-04 eta: 1 day, 0:27:03 time: 1.1260 data_time: 0.1956 memory: 22238 grad_norm: 20.0845 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6235 loss: 1.6235 2022/07/31 17:19:39 - mmengine - INFO - Epoch(train) [23][600/2505] lr: 5.0000e-04 eta: 1 day, 0:26:39 time: 0.8695 data_time: 0.0968 memory: 22238 grad_norm: 19.9241 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6013 loss: 1.6013 2022/07/31 17:20:01 - mmengine - INFO - Epoch(train) [23][620/2505] lr: 5.0000e-04 eta: 1 day, 0:26:23 time: 1.0917 data_time: 0.0720 memory: 22238 grad_norm: 19.5856 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7953 loss: 1.7953 2022/07/31 17:20:18 - mmengine - INFO - Epoch(train) [23][640/2505] lr: 5.0000e-04 eta: 1 day, 0:26:01 time: 0.8858 data_time: 0.0487 memory: 22238 grad_norm: 19.5588 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5998 loss: 1.5998 2022/07/31 17:20:40 - mmengine - INFO - Epoch(train) [23][660/2505] lr: 5.0000e-04 eta: 1 day, 0:25:45 time: 1.0949 data_time: 0.0552 memory: 22238 grad_norm: 19.3682 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8381 loss: 1.8381 2022/07/31 17:20:57 - mmengine - INFO - Epoch(train) [23][680/2505] lr: 5.0000e-04 eta: 1 day, 0:25:20 time: 0.8288 data_time: 0.1044 memory: 22238 grad_norm: 18.9279 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8188 loss: 1.8188 2022/07/31 17:21:19 - mmengine - INFO - Epoch(train) [23][700/2505] lr: 5.0000e-04 eta: 1 day, 0:25:04 time: 1.0867 data_time: 0.3540 memory: 22238 grad_norm: 19.3352 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6586 loss: 1.6586 2022/07/31 17:21:37 - mmengine - INFO - Epoch(train) [23][720/2505] lr: 5.0000e-04 eta: 1 day, 0:24:41 time: 0.8932 data_time: 0.3785 memory: 22238 grad_norm: 18.8084 top1_acc: 0.2500 top5_acc: 0.9167 loss_cls: 1.7928 loss: 1.7928 2022/07/31 17:21:59 - mmengine - INFO - Epoch(train) [23][740/2505] lr: 5.0000e-04 eta: 1 day, 0:24:25 time: 1.0991 data_time: 0.4801 memory: 22238 grad_norm: 19.9500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6080 loss: 1.6080 2022/07/31 17:22:17 - mmengine - INFO - Epoch(train) [23][760/2505] lr: 5.0000e-04 eta: 1 day, 0:24:03 time: 0.8996 data_time: 0.3493 memory: 22238 grad_norm: 18.6131 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5595 loss: 1.5595 2022/07/31 17:22:38 - mmengine - INFO - Epoch(train) [23][780/2505] lr: 5.0000e-04 eta: 1 day, 0:23:46 time: 1.0520 data_time: 0.4287 memory: 22238 grad_norm: 19.0605 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8800 loss: 1.8800 2022/07/31 17:22:55 - mmengine - INFO - Epoch(train) [23][800/2505] lr: 5.0000e-04 eta: 1 day, 0:23:22 time: 0.8668 data_time: 0.2811 memory: 22238 grad_norm: 19.6656 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8461 loss: 1.8461 2022/07/31 17:23:16 - mmengine - INFO - Epoch(train) [23][820/2505] lr: 5.0000e-04 eta: 1 day, 0:23:04 time: 1.0359 data_time: 0.4321 memory: 22238 grad_norm: 19.3367 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.8527 loss: 1.8527 2022/07/31 17:23:35 - mmengine - INFO - Epoch(train) [23][840/2505] lr: 5.0000e-04 eta: 1 day, 0:22:44 time: 0.9478 data_time: 0.4536 memory: 22238 grad_norm: 19.8060 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7334 loss: 1.7334 2022/07/31 17:23:55 - mmengine - INFO - Epoch(train) [23][860/2505] lr: 5.0000e-04 eta: 1 day, 0:22:25 time: 1.0140 data_time: 0.4160 memory: 22238 grad_norm: 18.7767 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5969 loss: 1.5969 2022/07/31 17:24:14 - mmengine - INFO - Epoch(train) [23][880/2505] lr: 5.0000e-04 eta: 1 day, 0:22:05 time: 0.9745 data_time: 0.4406 memory: 22238 grad_norm: 20.8218 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5424 loss: 1.5424 2022/07/31 17:24:25 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 17:24:34 - mmengine - INFO - Epoch(train) [23][900/2505] lr: 5.0000e-04 eta: 1 day, 0:21:46 time: 0.9895 data_time: 0.3415 memory: 22238 grad_norm: 19.7481 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.5690 loss: 1.5690 2022/07/31 17:24:54 - mmengine - INFO - Epoch(train) [23][920/2505] lr: 5.0000e-04 eta: 1 day, 0:21:27 time: 1.0109 data_time: 0.3877 memory: 22238 grad_norm: 19.4106 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8279 loss: 1.8279 2022/07/31 17:25:15 - mmengine - INFO - Epoch(train) [23][940/2505] lr: 5.0000e-04 eta: 1 day, 0:21:08 time: 1.0222 data_time: 0.1552 memory: 22238 grad_norm: 19.0985 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8481 loss: 1.8481 2022/07/31 17:25:34 - mmengine - INFO - Epoch(train) [23][960/2505] lr: 5.0000e-04 eta: 1 day, 0:20:48 time: 0.9450 data_time: 0.2128 memory: 22238 grad_norm: 19.9990 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8211 loss: 1.8211 2022/07/31 17:25:56 - mmengine - INFO - Epoch(train) [23][980/2505] lr: 5.0000e-04 eta: 1 day, 0:20:32 time: 1.1033 data_time: 0.0289 memory: 22238 grad_norm: 19.8804 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.7792 loss: 1.7792 2022/07/31 17:26:13 - mmengine - INFO - Epoch(train) [23][1000/2505] lr: 5.0000e-04 eta: 1 day, 0:20:08 time: 0.8517 data_time: 0.0332 memory: 22238 grad_norm: 20.1583 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5651 loss: 1.5651 2022/07/31 17:26:35 - mmengine - INFO - Epoch(train) [23][1020/2505] lr: 5.0000e-04 eta: 1 day, 0:19:52 time: 1.1057 data_time: 0.0307 memory: 22238 grad_norm: 19.9611 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9005 loss: 1.9005 2022/07/31 17:26:52 - mmengine - INFO - Epoch(train) [23][1040/2505] lr: 5.0000e-04 eta: 1 day, 0:19:29 time: 0.8602 data_time: 0.0279 memory: 22238 grad_norm: 18.6186 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4745 loss: 1.4745 2022/07/31 17:27:14 - mmengine - INFO - Epoch(train) [23][1060/2505] lr: 5.0000e-04 eta: 1 day, 0:19:13 time: 1.0897 data_time: 0.0342 memory: 22238 grad_norm: 19.6166 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9052 loss: 1.9052 2022/07/31 17:27:32 - mmengine - INFO - Epoch(train) [23][1080/2505] lr: 5.0000e-04 eta: 1 day, 0:18:49 time: 0.8762 data_time: 0.0284 memory: 22238 grad_norm: 20.1628 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6248 loss: 1.6248 2022/07/31 17:27:53 - mmengine - INFO - Epoch(train) [23][1100/2505] lr: 5.0000e-04 eta: 1 day, 0:18:33 time: 1.0948 data_time: 0.0349 memory: 22238 grad_norm: 19.8785 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6405 loss: 1.6405 2022/07/31 17:28:10 - mmengine - INFO - Epoch(train) [23][1120/2505] lr: 5.0000e-04 eta: 1 day, 0:18:09 time: 0.8170 data_time: 0.0282 memory: 22238 grad_norm: 20.0891 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.6148 loss: 1.6148 2022/07/31 17:28:31 - mmengine - INFO - Epoch(train) [23][1140/2505] lr: 5.0000e-04 eta: 1 day, 0:17:52 time: 1.0862 data_time: 0.0345 memory: 22238 grad_norm: 19.3276 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5910 loss: 1.5910 2022/07/31 17:28:49 - mmengine - INFO - Epoch(train) [23][1160/2505] lr: 5.0000e-04 eta: 1 day, 0:17:29 time: 0.8803 data_time: 0.0527 memory: 22238 grad_norm: 19.4170 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6533 loss: 1.6533 2022/07/31 17:29:12 - mmengine - INFO - Epoch(train) [23][1180/2505] lr: 5.0000e-04 eta: 1 day, 0:17:14 time: 1.1242 data_time: 0.2277 memory: 22238 grad_norm: 20.4562 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7149 loss: 1.7149 2022/07/31 17:29:29 - mmengine - INFO - Epoch(train) [23][1200/2505] lr: 5.0000e-04 eta: 1 day, 0:16:50 time: 0.8527 data_time: 0.2069 memory: 22238 grad_norm: 19.9868 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7365 loss: 1.7365 2022/07/31 17:29:51 - mmengine - INFO - Epoch(train) [23][1220/2505] lr: 5.0000e-04 eta: 1 day, 0:16:35 time: 1.1106 data_time: 0.4602 memory: 22238 grad_norm: 19.9451 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.7536 loss: 1.7536 2022/07/31 17:30:07 - mmengine - INFO - Epoch(train) [23][1240/2505] lr: 5.0000e-04 eta: 1 day, 0:16:10 time: 0.8207 data_time: 0.3471 memory: 22238 grad_norm: 19.2147 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6616 loss: 1.6616 2022/07/31 17:30:29 - mmengine - INFO - Epoch(train) [23][1260/2505] lr: 5.0000e-04 eta: 1 day, 0:15:54 time: 1.1117 data_time: 0.3521 memory: 22238 grad_norm: 19.8447 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3902 loss: 1.3902 2022/07/31 17:30:46 - mmengine - INFO - Epoch(train) [23][1280/2505] lr: 5.0000e-04 eta: 1 day, 0:15:30 time: 0.8408 data_time: 0.2210 memory: 22238 grad_norm: 20.6640 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5419 loss: 1.5419 2022/07/31 17:31:08 - mmengine - INFO - Epoch(train) [23][1300/2505] lr: 5.0000e-04 eta: 1 day, 0:15:13 time: 1.0698 data_time: 0.1622 memory: 22238 grad_norm: 18.8335 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8821 loss: 1.8821 2022/07/31 17:31:25 - mmengine - INFO - Epoch(train) [23][1320/2505] lr: 5.0000e-04 eta: 1 day, 0:14:51 time: 0.8814 data_time: 0.1014 memory: 22238 grad_norm: 21.2450 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5972 loss: 1.5972 2022/07/31 17:31:47 - mmengine - INFO - Epoch(train) [23][1340/2505] lr: 5.0000e-04 eta: 1 day, 0:14:35 time: 1.1035 data_time: 0.0619 memory: 22238 grad_norm: 19.3190 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7664 loss: 1.7664 2022/07/31 17:32:04 - mmengine - INFO - Epoch(train) [23][1360/2505] lr: 5.0000e-04 eta: 1 day, 0:14:11 time: 0.8428 data_time: 0.0657 memory: 22238 grad_norm: 19.6293 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5718 loss: 1.5718 2022/07/31 17:32:26 - mmengine - INFO - Epoch(train) [23][1380/2505] lr: 5.0000e-04 eta: 1 day, 0:13:55 time: 1.1036 data_time: 0.0714 memory: 22238 grad_norm: 19.5705 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7136 loss: 1.7136 2022/07/31 17:32:46 - mmengine - INFO - Epoch(train) [23][1400/2505] lr: 5.0000e-04 eta: 1 day, 0:13:35 time: 0.9697 data_time: 0.0319 memory: 22238 grad_norm: 19.9332 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9027 loss: 1.9027 2022/07/31 17:33:08 - mmengine - INFO - Epoch(train) [23][1420/2505] lr: 5.0000e-04 eta: 1 day, 0:13:19 time: 1.1177 data_time: 0.0310 memory: 22238 grad_norm: 19.7550 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5122 loss: 1.5122 2022/07/31 17:33:26 - mmengine - INFO - Epoch(train) [23][1440/2505] lr: 5.0000e-04 eta: 1 day, 0:12:56 time: 0.8708 data_time: 0.0355 memory: 22238 grad_norm: 20.6220 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9880 loss: 1.9880 2022/07/31 17:33:47 - mmengine - INFO - Epoch(train) [23][1460/2505] lr: 5.0000e-04 eta: 1 day, 0:12:39 time: 1.0690 data_time: 0.0280 memory: 22238 grad_norm: 19.6210 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6687 loss: 1.6687 2022/07/31 17:34:06 - mmengine - INFO - Epoch(train) [23][1480/2505] lr: 5.0000e-04 eta: 1 day, 0:12:19 time: 0.9509 data_time: 0.0319 memory: 22238 grad_norm: 19.8540 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5751 loss: 1.5751 2022/07/31 17:34:27 - mmengine - INFO - Epoch(train) [23][1500/2505] lr: 5.0000e-04 eta: 1 day, 0:12:02 time: 1.0687 data_time: 0.0296 memory: 22238 grad_norm: 19.3639 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6691 loss: 1.6691 2022/07/31 17:34:44 - mmengine - INFO - Epoch(train) [23][1520/2505] lr: 5.0000e-04 eta: 1 day, 0:11:38 time: 0.8434 data_time: 0.0376 memory: 22238 grad_norm: 18.9965 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4263 loss: 1.4263 2022/07/31 17:35:05 - mmengine - INFO - Epoch(train) [23][1540/2505] lr: 5.0000e-04 eta: 1 day, 0:11:20 time: 1.0442 data_time: 0.0290 memory: 22238 grad_norm: 19.9634 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7665 loss: 1.7665 2022/07/31 17:35:22 - mmengine - INFO - Epoch(train) [23][1560/2505] lr: 5.0000e-04 eta: 1 day, 0:10:56 time: 0.8390 data_time: 0.0268 memory: 22238 grad_norm: 19.3741 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7591 loss: 1.7591 2022/07/31 17:35:45 - mmengine - INFO - Epoch(train) [23][1580/2505] lr: 5.0000e-04 eta: 1 day, 0:10:42 time: 1.1524 data_time: 0.0336 memory: 22238 grad_norm: 19.4275 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6569 loss: 1.6569 2022/07/31 17:36:04 - mmengine - INFO - Epoch(train) [23][1600/2505] lr: 5.0000e-04 eta: 1 day, 0:10:21 time: 0.9501 data_time: 0.0289 memory: 22238 grad_norm: 18.5587 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9961 loss: 1.9961 2022/07/31 17:36:26 - mmengine - INFO - Epoch(train) [23][1620/2505] lr: 5.0000e-04 eta: 1 day, 0:10:05 time: 1.0999 data_time: 0.0330 memory: 22238 grad_norm: 19.8066 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7132 loss: 1.7132 2022/07/31 17:36:44 - mmengine - INFO - Epoch(train) [23][1640/2505] lr: 5.0000e-04 eta: 1 day, 0:09:43 time: 0.8959 data_time: 0.0305 memory: 22238 grad_norm: 19.3200 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7456 loss: 1.7456 2022/07/31 17:37:04 - mmengine - INFO - Epoch(train) [23][1660/2505] lr: 5.0000e-04 eta: 1 day, 0:09:24 time: 1.0299 data_time: 0.0332 memory: 22238 grad_norm: 19.8974 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5883 loss: 1.5883 2022/07/31 17:37:23 - mmengine - INFO - Epoch(train) [23][1680/2505] lr: 5.0000e-04 eta: 1 day, 0:09:03 time: 0.9375 data_time: 0.0277 memory: 22238 grad_norm: 18.9268 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6403 loss: 1.6403 2022/07/31 17:37:44 - mmengine - INFO - Epoch(train) [23][1700/2505] lr: 5.0000e-04 eta: 1 day, 0:08:46 time: 1.0631 data_time: 0.0361 memory: 22238 grad_norm: 19.7841 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6012 loss: 1.6012 2022/07/31 17:38:02 - mmengine - INFO - Epoch(train) [23][1720/2505] lr: 5.0000e-04 eta: 1 day, 0:08:24 time: 0.8979 data_time: 0.0271 memory: 22238 grad_norm: 20.1980 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6982 loss: 1.6982 2022/07/31 17:38:22 - mmengine - INFO - Epoch(train) [23][1740/2505] lr: 5.0000e-04 eta: 1 day, 0:08:04 time: 0.9738 data_time: 0.0298 memory: 22238 grad_norm: 19.7927 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7790 loss: 1.7790 2022/07/31 17:38:40 - mmengine - INFO - Epoch(train) [23][1760/2505] lr: 5.0000e-04 eta: 1 day, 0:07:42 time: 0.9179 data_time: 0.0267 memory: 22238 grad_norm: 19.8988 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6579 loss: 1.6579 2022/07/31 17:39:02 - mmengine - INFO - Epoch(train) [23][1780/2505] lr: 5.0000e-04 eta: 1 day, 0:07:25 time: 1.0641 data_time: 0.0288 memory: 22238 grad_norm: 18.2917 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5950 loss: 1.5950 2022/07/31 17:39:20 - mmengine - INFO - Epoch(train) [23][1800/2505] lr: 5.0000e-04 eta: 1 day, 0:07:03 time: 0.9006 data_time: 0.0265 memory: 22238 grad_norm: 20.1471 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4418 loss: 1.4418 2022/07/31 17:39:41 - mmengine - INFO - Epoch(train) [23][1820/2505] lr: 5.0000e-04 eta: 1 day, 0:06:46 time: 1.0682 data_time: 0.0287 memory: 22238 grad_norm: 19.4737 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9127 loss: 1.9127 2022/07/31 17:39:59 - mmengine - INFO - Epoch(train) [23][1840/2505] lr: 5.0000e-04 eta: 1 day, 0:06:23 time: 0.8853 data_time: 0.0270 memory: 22238 grad_norm: 20.3823 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5487 loss: 1.5487 2022/07/31 17:40:20 - mmengine - INFO - Epoch(train) [23][1860/2505] lr: 5.0000e-04 eta: 1 day, 0:06:07 time: 1.0892 data_time: 0.0293 memory: 22238 grad_norm: 19.1828 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5644 loss: 1.5644 2022/07/31 17:40:38 - mmengine - INFO - Epoch(train) [23][1880/2505] lr: 5.0000e-04 eta: 1 day, 0:05:44 time: 0.8673 data_time: 0.0280 memory: 22238 grad_norm: 20.2226 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7093 loss: 1.7093 2022/07/31 17:40:51 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 17:40:59 - mmengine - INFO - Epoch(train) [23][1900/2505] lr: 5.0000e-04 eta: 1 day, 0:05:27 time: 1.0751 data_time: 0.0294 memory: 22238 grad_norm: 20.1794 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7396 loss: 1.7396 2022/07/31 17:41:17 - mmengine - INFO - Epoch(train) [23][1920/2505] lr: 5.0000e-04 eta: 1 day, 0:05:04 time: 0.8826 data_time: 0.0268 memory: 22238 grad_norm: 19.6079 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8639 loss: 1.8639 2022/07/31 17:41:38 - mmengine - INFO - Epoch(train) [23][1940/2505] lr: 5.0000e-04 eta: 1 day, 0:04:48 time: 1.0705 data_time: 0.0301 memory: 22238 grad_norm: 19.6020 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8310 loss: 1.8310 2022/07/31 17:41:56 - mmengine - INFO - Epoch(train) [23][1960/2505] lr: 5.0000e-04 eta: 1 day, 0:04:25 time: 0.8897 data_time: 0.0294 memory: 22238 grad_norm: 19.2478 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6316 loss: 1.6316 2022/07/31 17:42:17 - mmengine - INFO - Epoch(train) [23][1980/2505] lr: 5.0000e-04 eta: 1 day, 0:04:07 time: 1.0339 data_time: 0.0308 memory: 22238 grad_norm: 20.5150 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7316 loss: 1.7316 2022/07/31 17:42:36 - mmengine - INFO - Epoch(train) [23][2000/2505] lr: 5.0000e-04 eta: 1 day, 0:03:46 time: 0.9444 data_time: 0.0278 memory: 22238 grad_norm: 19.9322 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5065 loss: 1.5065 2022/07/31 17:42:56 - mmengine - INFO - Epoch(train) [23][2020/2505] lr: 5.0000e-04 eta: 1 day, 0:03:27 time: 1.0101 data_time: 0.0295 memory: 22238 grad_norm: 19.5263 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7811 loss: 1.7811 2022/07/31 17:43:15 - mmengine - INFO - Epoch(train) [23][2040/2505] lr: 5.0000e-04 eta: 1 day, 0:03:07 time: 0.9597 data_time: 0.0291 memory: 22238 grad_norm: 19.0856 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7996 loss: 1.7996 2022/07/31 17:43:36 - mmengine - INFO - Epoch(train) [23][2060/2505] lr: 5.0000e-04 eta: 1 day, 0:02:49 time: 1.0401 data_time: 0.0293 memory: 22238 grad_norm: 19.4998 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9593 loss: 1.9593 2022/07/31 17:43:53 - mmengine - INFO - Epoch(train) [23][2080/2505] lr: 5.0000e-04 eta: 1 day, 0:02:26 time: 0.8748 data_time: 0.0263 memory: 22238 grad_norm: 18.7793 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6629 loss: 1.6629 2022/07/31 17:44:14 - mmengine - INFO - Epoch(train) [23][2100/2505] lr: 5.0000e-04 eta: 1 day, 0:02:08 time: 1.0347 data_time: 0.0318 memory: 22238 grad_norm: 19.7300 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5915 loss: 1.5915 2022/07/31 17:44:33 - mmengine - INFO - Epoch(train) [23][2120/2505] lr: 5.0000e-04 eta: 1 day, 0:01:48 time: 0.9534 data_time: 0.0277 memory: 22238 grad_norm: 19.7584 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7280 loss: 1.7280 2022/07/31 17:44:55 - mmengine - INFO - Epoch(train) [23][2140/2505] lr: 5.0000e-04 eta: 1 day, 0:01:31 time: 1.0854 data_time: 0.0291 memory: 22238 grad_norm: 19.3548 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8223 loss: 1.8223 2022/07/31 17:45:12 - mmengine - INFO - Epoch(train) [23][2160/2505] lr: 5.0000e-04 eta: 1 day, 0:01:08 time: 0.8608 data_time: 0.0538 memory: 22238 grad_norm: 19.3711 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8669 loss: 1.8669 2022/07/31 17:45:35 - mmengine - INFO - Epoch(train) [23][2180/2505] lr: 5.0000e-04 eta: 1 day, 0:00:52 time: 1.1220 data_time: 0.0382 memory: 22238 grad_norm: 20.0447 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5709 loss: 1.5709 2022/07/31 17:45:51 - mmengine - INFO - Epoch(train) [23][2200/2505] lr: 5.0000e-04 eta: 1 day, 0:00:28 time: 0.8289 data_time: 0.0327 memory: 22238 grad_norm: 18.8231 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8591 loss: 1.8591 2022/07/31 17:46:13 - mmengine - INFO - Epoch(train) [23][2220/2505] lr: 5.0000e-04 eta: 1 day, 0:00:11 time: 1.0831 data_time: 0.1227 memory: 22238 grad_norm: 19.6300 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6447 loss: 1.6447 2022/07/31 17:46:30 - mmengine - INFO - Epoch(train) [23][2240/2505] lr: 5.0000e-04 eta: 23:59:49 time: 0.8807 data_time: 0.1253 memory: 22238 grad_norm: 18.7070 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8058 loss: 1.8058 2022/07/31 17:46:52 - mmengine - INFO - Epoch(train) [23][2260/2505] lr: 5.0000e-04 eta: 23:59:32 time: 1.0949 data_time: 0.2132 memory: 22238 grad_norm: 20.0680 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9555 loss: 1.9555 2022/07/31 17:47:10 - mmengine - INFO - Epoch(train) [23][2280/2505] lr: 5.0000e-04 eta: 23:59:09 time: 0.8627 data_time: 0.1600 memory: 22238 grad_norm: 19.2778 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6144 loss: 1.6144 2022/07/31 17:47:31 - mmengine - INFO - Epoch(train) [23][2300/2505] lr: 5.0000e-04 eta: 23:58:52 time: 1.0787 data_time: 0.1905 memory: 22238 grad_norm: 20.0429 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5475 loss: 1.5475 2022/07/31 17:47:50 - mmengine - INFO - Epoch(train) [23][2320/2505] lr: 5.0000e-04 eta: 23:58:31 time: 0.9361 data_time: 0.1570 memory: 22238 grad_norm: 18.9266 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6489 loss: 1.6489 2022/07/31 17:48:09 - mmengine - INFO - Epoch(train) [23][2340/2505] lr: 5.0000e-04 eta: 23:58:11 time: 0.9737 data_time: 0.2619 memory: 22238 grad_norm: 20.0743 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4760 loss: 1.4760 2022/07/31 17:48:29 - mmengine - INFO - Epoch(train) [23][2360/2505] lr: 5.0000e-04 eta: 23:57:52 time: 0.9929 data_time: 0.2324 memory: 22238 grad_norm: 19.3515 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7455 loss: 1.7455 2022/07/31 17:48:49 - mmengine - INFO - Epoch(train) [23][2380/2505] lr: 5.0000e-04 eta: 23:57:33 time: 0.9910 data_time: 0.2380 memory: 22238 grad_norm: 19.3947 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5651 loss: 1.5651 2022/07/31 17:49:08 - mmengine - INFO - Epoch(train) [23][2400/2505] lr: 5.0000e-04 eta: 23:57:12 time: 0.9467 data_time: 0.2387 memory: 22238 grad_norm: 19.5144 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7590 loss: 1.7590 2022/07/31 17:49:29 - mmengine - INFO - Epoch(train) [23][2420/2505] lr: 5.0000e-04 eta: 23:56:54 time: 1.0483 data_time: 0.3573 memory: 22238 grad_norm: 19.6898 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6869 loss: 1.6869 2022/07/31 17:49:48 - mmengine - INFO - Epoch(train) [23][2440/2505] lr: 5.0000e-04 eta: 23:56:34 time: 0.9436 data_time: 0.1976 memory: 22238 grad_norm: 19.6305 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7339 loss: 1.7339 2022/07/31 17:50:08 - mmengine - INFO - Epoch(train) [23][2460/2505] lr: 5.0000e-04 eta: 23:56:15 time: 1.0257 data_time: 0.1357 memory: 22238 grad_norm: 19.6930 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7765 loss: 1.7765 2022/07/31 17:50:27 - mmengine - INFO - Epoch(train) [23][2480/2505] lr: 5.0000e-04 eta: 23:55:54 time: 0.9196 data_time: 0.1129 memory: 22238 grad_norm: 19.3545 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6592 loss: 1.6592 2022/07/31 17:50:44 - mmengine - INFO - Epoch(train) [23][2500/2505] lr: 5.0000e-04 eta: 23:55:30 time: 0.8572 data_time: 0.1669 memory: 22238 grad_norm: 20.0498 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6226 loss: 1.6226 2022/07/31 17:50:46 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 17:50:46 - mmengine - INFO - Epoch(train) [23][2505/2505] lr: 5.0000e-04 eta: 23:55:30 time: 0.6094 data_time: 0.0981 memory: 22238 grad_norm: 20.6069 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.7343 loss: 1.7343 2022/07/31 17:51:12 - mmengine - INFO - Epoch(train) [24][20/2505] lr: 5.0000e-04 eta: 23:55:08 time: 1.3006 data_time: 0.8186 memory: 22238 grad_norm: 20.5003 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0654 loss: 2.0654 2022/07/31 17:51:30 - mmengine - INFO - Epoch(train) [24][40/2505] lr: 5.0000e-04 eta: 23:54:46 time: 0.8967 data_time: 0.3485 memory: 22238 grad_norm: 20.0378 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6904 loss: 1.6904 2022/07/31 17:51:52 - mmengine - INFO - Epoch(train) [24][60/2505] lr: 5.0000e-04 eta: 23:54:29 time: 1.0957 data_time: 0.4095 memory: 22238 grad_norm: 18.8729 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5272 loss: 1.5272 2022/07/31 17:52:08 - mmengine - INFO - Epoch(train) [24][80/2505] lr: 5.0000e-04 eta: 23:54:05 time: 0.8180 data_time: 0.3060 memory: 22238 grad_norm: 19.3575 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6869 loss: 1.6869 2022/07/31 17:52:30 - mmengine - INFO - Epoch(train) [24][100/2505] lr: 5.0000e-04 eta: 23:53:48 time: 1.0808 data_time: 0.5406 memory: 22238 grad_norm: 19.8525 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5903 loss: 1.5903 2022/07/31 17:52:48 - mmengine - INFO - Epoch(train) [24][120/2505] lr: 5.0000e-04 eta: 23:53:26 time: 0.8939 data_time: 0.3270 memory: 22238 grad_norm: 20.1816 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6062 loss: 1.6062 2022/07/31 17:53:10 - mmengine - INFO - Epoch(train) [24][140/2505] lr: 5.0000e-04 eta: 23:53:10 time: 1.1089 data_time: 0.3395 memory: 22238 grad_norm: 18.7439 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7184 loss: 1.7184 2022/07/31 17:53:27 - mmengine - INFO - Epoch(train) [24][160/2505] lr: 5.0000e-04 eta: 23:52:47 time: 0.8704 data_time: 0.1674 memory: 22238 grad_norm: 19.8453 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6607 loss: 1.6607 2022/07/31 17:53:49 - mmengine - INFO - Epoch(train) [24][180/2505] lr: 5.0000e-04 eta: 23:52:30 time: 1.0818 data_time: 0.1862 memory: 22238 grad_norm: 19.9257 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6046 loss: 1.6046 2022/07/31 17:54:06 - mmengine - INFO - Epoch(train) [24][200/2505] lr: 5.0000e-04 eta: 23:52:07 time: 0.8540 data_time: 0.0775 memory: 22238 grad_norm: 19.8425 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.5436 loss: 1.5436 2022/07/31 17:54:28 - mmengine - INFO - Epoch(train) [24][220/2505] lr: 5.0000e-04 eta: 23:51:50 time: 1.0765 data_time: 0.0351 memory: 22238 grad_norm: 20.2978 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4723 loss: 1.4723 2022/07/31 17:54:46 - mmengine - INFO - Epoch(train) [24][240/2505] lr: 5.0000e-04 eta: 23:51:28 time: 0.8983 data_time: 0.0654 memory: 22238 grad_norm: 19.1321 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.6341 loss: 1.6341 2022/07/31 17:55:07 - mmengine - INFO - Epoch(train) [24][260/2505] lr: 5.0000e-04 eta: 23:51:11 time: 1.0865 data_time: 0.0907 memory: 22238 grad_norm: 19.5290 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.7084 loss: 1.7084 2022/07/31 17:55:25 - mmengine - INFO - Epoch(train) [24][280/2505] lr: 5.0000e-04 eta: 23:50:49 time: 0.8897 data_time: 0.2197 memory: 22238 grad_norm: 19.4802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5424 loss: 1.5424 2022/07/31 17:55:47 - mmengine - INFO - Epoch(train) [24][300/2505] lr: 5.0000e-04 eta: 23:50:33 time: 1.1007 data_time: 0.2863 memory: 22238 grad_norm: 20.0019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7075 loss: 1.7075 2022/07/31 17:56:05 - mmengine - INFO - Epoch(train) [24][320/2505] lr: 5.0000e-04 eta: 23:50:11 time: 0.8978 data_time: 0.2749 memory: 22238 grad_norm: 19.0943 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7045 loss: 1.7045 2022/07/31 17:56:27 - mmengine - INFO - Epoch(train) [24][340/2505] lr: 5.0000e-04 eta: 23:49:54 time: 1.0873 data_time: 0.2842 memory: 22238 grad_norm: 19.2101 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4805 loss: 1.4805 2022/07/31 17:56:44 - mmengine - INFO - Epoch(train) [24][360/2505] lr: 5.0000e-04 eta: 23:49:31 time: 0.8589 data_time: 0.2161 memory: 22238 grad_norm: 20.3805 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5081 loss: 1.5081 2022/07/31 17:57:06 - mmengine - INFO - Epoch(train) [24][380/2505] lr: 5.0000e-04 eta: 23:49:14 time: 1.0876 data_time: 0.1568 memory: 22238 grad_norm: 19.1100 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5141 loss: 1.5141 2022/07/31 17:57:12 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 17:57:24 - mmengine - INFO - Epoch(train) [24][400/2505] lr: 5.0000e-04 eta: 23:48:52 time: 0.8983 data_time: 0.1150 memory: 22238 grad_norm: 19.1033 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6343 loss: 1.6343 2022/07/31 17:57:46 - mmengine - INFO - Epoch(train) [24][420/2505] lr: 5.0000e-04 eta: 23:48:36 time: 1.0926 data_time: 0.2612 memory: 22238 grad_norm: 19.1011 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6992 loss: 1.6992 2022/07/31 17:58:04 - mmengine - INFO - Epoch(train) [24][440/2505] lr: 5.0000e-04 eta: 23:48:14 time: 0.9258 data_time: 0.2331 memory: 22238 grad_norm: 19.0287 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7124 loss: 1.7124 2022/07/31 17:58:24 - mmengine - INFO - Epoch(train) [24][460/2505] lr: 5.0000e-04 eta: 23:47:55 time: 1.0019 data_time: 0.2969 memory: 22238 grad_norm: 19.1626 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6568 loss: 1.6568 2022/07/31 17:58:43 - mmengine - INFO - Epoch(train) [24][480/2505] lr: 5.0000e-04 eta: 23:47:35 time: 0.9621 data_time: 0.2007 memory: 22238 grad_norm: 19.3588 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5752 loss: 1.5752 2022/07/31 17:59:04 - mmengine - INFO - Epoch(train) [24][500/2505] lr: 5.0000e-04 eta: 23:47:18 time: 1.0540 data_time: 0.4227 memory: 22238 grad_norm: 18.9433 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.4581 loss: 1.4581 2022/07/31 17:59:22 - mmengine - INFO - Epoch(train) [24][520/2505] lr: 5.0000e-04 eta: 23:46:55 time: 0.8888 data_time: 0.2450 memory: 22238 grad_norm: 19.3870 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6843 loss: 1.6843 2022/07/31 17:59:44 - mmengine - INFO - Epoch(train) [24][540/2505] lr: 5.0000e-04 eta: 23:46:38 time: 1.0805 data_time: 0.3992 memory: 22238 grad_norm: 18.9991 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.6669 loss: 1.6669 2022/07/31 18:00:05 - mmengine - INFO - Epoch(train) [24][560/2505] lr: 5.0000e-04 eta: 23:46:21 time: 1.0596 data_time: 0.3453 memory: 22238 grad_norm: 19.3517 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8709 loss: 1.8709 2022/07/31 18:00:25 - mmengine - INFO - Epoch(train) [24][580/2505] lr: 5.0000e-04 eta: 23:46:02 time: 1.0010 data_time: 0.4804 memory: 22238 grad_norm: 19.4295 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7018 loss: 1.7018 2022/07/31 18:00:42 - mmengine - INFO - Epoch(train) [24][600/2505] lr: 5.0000e-04 eta: 23:45:38 time: 0.8513 data_time: 0.3748 memory: 22238 grad_norm: 18.5847 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5497 loss: 1.5497 2022/07/31 18:01:03 - mmengine - INFO - Epoch(train) [24][620/2505] lr: 5.0000e-04 eta: 23:45:21 time: 1.0659 data_time: 0.3920 memory: 22238 grad_norm: 19.0724 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7112 loss: 1.7112 2022/07/31 18:01:21 - mmengine - INFO - Epoch(train) [24][640/2505] lr: 5.0000e-04 eta: 23:44:58 time: 0.8619 data_time: 0.1448 memory: 22238 grad_norm: 18.9984 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6946 loss: 1.6946 2022/07/31 18:01:42 - mmengine - INFO - Epoch(train) [24][660/2505] lr: 5.0000e-04 eta: 23:44:41 time: 1.0760 data_time: 0.0793 memory: 22238 grad_norm: 18.9942 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5348 loss: 1.5348 2022/07/31 18:02:00 - mmengine - INFO - Epoch(train) [24][680/2505] lr: 5.0000e-04 eta: 23:44:19 time: 0.8869 data_time: 0.0725 memory: 22238 grad_norm: 19.2427 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6738 loss: 1.6738 2022/07/31 18:02:21 - mmengine - INFO - Epoch(train) [24][700/2505] lr: 5.0000e-04 eta: 23:44:01 time: 1.0529 data_time: 0.1094 memory: 22238 grad_norm: 19.6115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8015 loss: 1.8015 2022/07/31 18:02:39 - mmengine - INFO - Epoch(train) [24][720/2505] lr: 5.0000e-04 eta: 23:43:39 time: 0.9088 data_time: 0.0972 memory: 22238 grad_norm: 19.6911 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.6974 loss: 1.6974 2022/07/31 18:03:01 - mmengine - INFO - Epoch(train) [24][740/2505] lr: 5.0000e-04 eta: 23:43:23 time: 1.0870 data_time: 0.0366 memory: 22238 grad_norm: 19.1243 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5300 loss: 1.5300 2022/07/31 18:03:19 - mmengine - INFO - Epoch(train) [24][760/2505] lr: 5.0000e-04 eta: 23:43:01 time: 0.9152 data_time: 0.0325 memory: 22238 grad_norm: 18.9407 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.6280 loss: 1.6280 2022/07/31 18:03:40 - mmengine - INFO - Epoch(train) [24][780/2505] lr: 5.0000e-04 eta: 23:42:43 time: 1.0323 data_time: 0.0324 memory: 22238 grad_norm: 19.3874 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8310 loss: 1.8310 2022/07/31 18:03:58 - mmengine - INFO - Epoch(train) [24][800/2505] lr: 5.0000e-04 eta: 23:42:21 time: 0.9102 data_time: 0.0316 memory: 22238 grad_norm: 18.9562 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7220 loss: 1.7220 2022/07/31 18:04:20 - mmengine - INFO - Epoch(train) [24][820/2505] lr: 5.0000e-04 eta: 23:42:04 time: 1.0752 data_time: 0.0573 memory: 22238 grad_norm: 19.5573 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6156 loss: 1.6156 2022/07/31 18:04:37 - mmengine - INFO - Epoch(train) [24][840/2505] lr: 5.0000e-04 eta: 23:41:41 time: 0.8761 data_time: 0.1501 memory: 22238 grad_norm: 19.3914 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.8385 loss: 1.8385 2022/07/31 18:04:59 - mmengine - INFO - Epoch(train) [24][860/2505] lr: 5.0000e-04 eta: 23:41:25 time: 1.1056 data_time: 0.1596 memory: 22238 grad_norm: 19.6705 top1_acc: 0.2500 top5_acc: 0.9167 loss_cls: 1.6911 loss: 1.6911 2022/07/31 18:05:18 - mmengine - INFO - Epoch(train) [24][880/2505] lr: 5.0000e-04 eta: 23:41:04 time: 0.9138 data_time: 0.0592 memory: 22238 grad_norm: 18.5882 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6179 loss: 1.6179 2022/07/31 18:05:40 - mmengine - INFO - Epoch(train) [24][900/2505] lr: 5.0000e-04 eta: 23:40:48 time: 1.1094 data_time: 0.0286 memory: 22238 grad_norm: 20.0443 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4795 loss: 1.4795 2022/07/31 18:05:57 - mmengine - INFO - Epoch(train) [24][920/2505] lr: 5.0000e-04 eta: 23:40:25 time: 0.8639 data_time: 0.0271 memory: 22238 grad_norm: 20.0083 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5755 loss: 1.5755 2022/07/31 18:06:19 - mmengine - INFO - Epoch(train) [24][940/2505] lr: 5.0000e-04 eta: 23:40:08 time: 1.0734 data_time: 0.0297 memory: 22238 grad_norm: 19.1631 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5370 loss: 1.5370 2022/07/31 18:06:36 - mmengine - INFO - Epoch(train) [24][960/2505] lr: 5.0000e-04 eta: 23:39:45 time: 0.8688 data_time: 0.0306 memory: 22238 grad_norm: 19.3338 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6681 loss: 1.6681 2022/07/31 18:06:58 - mmengine - INFO - Epoch(train) [24][980/2505] lr: 5.0000e-04 eta: 23:39:29 time: 1.1065 data_time: 0.0329 memory: 22238 grad_norm: 20.0966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9454 loss: 1.9454 2022/07/31 18:07:16 - mmengine - INFO - Epoch(train) [24][1000/2505] lr: 5.0000e-04 eta: 23:39:07 time: 0.9190 data_time: 0.0328 memory: 22238 grad_norm: 19.5376 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5047 loss: 1.5047 2022/07/31 18:07:37 - mmengine - INFO - Epoch(train) [24][1020/2505] lr: 5.0000e-04 eta: 23:38:50 time: 1.0530 data_time: 0.0275 memory: 22238 grad_norm: 19.0576 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6663 loss: 1.6663 2022/07/31 18:07:56 - mmengine - INFO - Epoch(train) [24][1040/2505] lr: 5.0000e-04 eta: 23:38:28 time: 0.9142 data_time: 0.0284 memory: 22238 grad_norm: 19.1895 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4418 loss: 1.4418 2022/07/31 18:08:16 - mmengine - INFO - Epoch(train) [24][1060/2505] lr: 5.0000e-04 eta: 23:38:10 time: 1.0215 data_time: 0.0292 memory: 22238 grad_norm: 18.7908 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4874 loss: 1.4874 2022/07/31 18:08:33 - mmengine - INFO - Epoch(train) [24][1080/2505] lr: 5.0000e-04 eta: 23:37:46 time: 0.8574 data_time: 0.0278 memory: 22238 grad_norm: 18.9839 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7451 loss: 1.7451 2022/07/31 18:08:56 - mmengine - INFO - Epoch(train) [24][1100/2505] lr: 5.0000e-04 eta: 23:37:31 time: 1.1287 data_time: 0.0325 memory: 22238 grad_norm: 20.3031 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4755 loss: 1.4755 2022/07/31 18:09:13 - mmengine - INFO - Epoch(train) [24][1120/2505] lr: 5.0000e-04 eta: 23:37:08 time: 0.8610 data_time: 0.0277 memory: 22238 grad_norm: 19.6314 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5581 loss: 1.5581 2022/07/31 18:09:35 - mmengine - INFO - Epoch(train) [24][1140/2505] lr: 5.0000e-04 eta: 23:36:52 time: 1.1013 data_time: 0.0329 memory: 22238 grad_norm: 19.5384 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6456 loss: 1.6456 2022/07/31 18:09:53 - mmengine - INFO - Epoch(train) [24][1160/2505] lr: 5.0000e-04 eta: 23:36:29 time: 0.8706 data_time: 0.0341 memory: 22238 grad_norm: 19.3458 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7844 loss: 1.7844 2022/07/31 18:10:15 - mmengine - INFO - Epoch(train) [24][1180/2505] lr: 5.0000e-04 eta: 23:36:14 time: 1.1367 data_time: 0.0279 memory: 22238 grad_norm: 19.0962 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6075 loss: 1.6075 2022/07/31 18:10:33 - mmengine - INFO - Epoch(train) [24][1200/2505] lr: 5.0000e-04 eta: 23:35:51 time: 0.8704 data_time: 0.0327 memory: 22238 grad_norm: 18.5006 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3785 loss: 1.3785 2022/07/31 18:10:55 - mmengine - INFO - Epoch(train) [24][1220/2505] lr: 5.0000e-04 eta: 23:35:35 time: 1.1100 data_time: 0.0345 memory: 22238 grad_norm: 18.4885 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6587 loss: 1.6587 2022/07/31 18:11:12 - mmengine - INFO - Epoch(train) [24][1240/2505] lr: 5.0000e-04 eta: 23:35:11 time: 0.8307 data_time: 0.0315 memory: 22238 grad_norm: 19.3830 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5404 loss: 1.5404 2022/07/31 18:11:34 - mmengine - INFO - Epoch(train) [24][1260/2505] lr: 5.0000e-04 eta: 23:34:55 time: 1.1120 data_time: 0.0279 memory: 22238 grad_norm: 19.0793 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9908 loss: 1.9908 2022/07/31 18:11:51 - mmengine - INFO - Epoch(train) [24][1280/2505] lr: 5.0000e-04 eta: 23:34:32 time: 0.8779 data_time: 0.0313 memory: 22238 grad_norm: 21.5622 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4437 loss: 1.4437 2022/07/31 18:12:13 - mmengine - INFO - Epoch(train) [24][1300/2505] lr: 5.0000e-04 eta: 23:34:16 time: 1.0904 data_time: 0.0294 memory: 22238 grad_norm: 19.7965 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8725 loss: 1.8725 2022/07/31 18:12:30 - mmengine - INFO - Epoch(train) [24][1320/2505] lr: 5.0000e-04 eta: 23:33:52 time: 0.8337 data_time: 0.0317 memory: 22238 grad_norm: 19.2732 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7810 loss: 1.7810 2022/07/31 18:12:52 - mmengine - INFO - Epoch(train) [24][1340/2505] lr: 5.0000e-04 eta: 23:33:35 time: 1.1014 data_time: 0.0287 memory: 22238 grad_norm: 19.2339 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9228 loss: 1.9228 2022/07/31 18:13:10 - mmengine - INFO - Epoch(train) [24][1360/2505] lr: 5.0000e-04 eta: 23:33:13 time: 0.9013 data_time: 0.0285 memory: 22238 grad_norm: 19.0347 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6005 loss: 1.6005 2022/07/31 18:13:32 - mmengine - INFO - Epoch(train) [24][1380/2505] lr: 5.0000e-04 eta: 23:32:57 time: 1.0938 data_time: 0.0269 memory: 22238 grad_norm: 19.1093 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5554 loss: 1.5554 2022/07/31 18:13:38 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 18:13:49 - mmengine - INFO - Epoch(train) [24][1400/2505] lr: 5.0000e-04 eta: 23:32:33 time: 0.8421 data_time: 0.0283 memory: 22238 grad_norm: 19.4919 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7383 loss: 1.7383 2022/07/31 18:14:11 - mmengine - INFO - Epoch(train) [24][1420/2505] lr: 5.0000e-04 eta: 23:32:17 time: 1.1020 data_time: 0.0294 memory: 22238 grad_norm: 19.2341 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5385 loss: 1.5385 2022/07/31 18:14:28 - mmengine - INFO - Epoch(train) [24][1440/2505] lr: 5.0000e-04 eta: 23:31:55 time: 0.8861 data_time: 0.0274 memory: 22238 grad_norm: 18.6841 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6203 loss: 1.6203 2022/07/31 18:14:50 - mmengine - INFO - Epoch(train) [24][1460/2505] lr: 5.0000e-04 eta: 23:31:38 time: 1.0863 data_time: 0.0281 memory: 22238 grad_norm: 18.6137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5379 loss: 1.5379 2022/07/31 18:15:08 - mmengine - INFO - Epoch(train) [24][1480/2505] lr: 5.0000e-04 eta: 23:31:16 time: 0.9036 data_time: 0.0274 memory: 22238 grad_norm: 19.3269 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9759 loss: 1.9759 2022/07/31 18:15:30 - mmengine - INFO - Epoch(train) [24][1500/2505] lr: 5.0000e-04 eta: 23:30:59 time: 1.0833 data_time: 0.0273 memory: 22238 grad_norm: 20.3554 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8908 loss: 1.8908 2022/07/31 18:15:47 - mmengine - INFO - Epoch(train) [24][1520/2505] lr: 5.0000e-04 eta: 23:30:37 time: 0.8772 data_time: 0.0283 memory: 22238 grad_norm: 19.8720 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5836 loss: 1.5836 2022/07/31 18:16:10 - mmengine - INFO - Epoch(train) [24][1540/2505] lr: 5.0000e-04 eta: 23:30:21 time: 1.1049 data_time: 0.0293 memory: 22238 grad_norm: 19.0455 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5842 loss: 1.5842 2022/07/31 18:16:28 - mmengine - INFO - Epoch(train) [24][1560/2505] lr: 5.0000e-04 eta: 23:29:59 time: 0.9080 data_time: 0.0282 memory: 22238 grad_norm: 19.8244 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5661 loss: 1.5661 2022/07/31 18:16:49 - mmengine - INFO - Epoch(train) [24][1580/2505] lr: 5.0000e-04 eta: 23:29:41 time: 1.0469 data_time: 0.0286 memory: 22238 grad_norm: 19.5579 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6778 loss: 1.6778 2022/07/31 18:17:06 - mmengine - INFO - Epoch(train) [24][1600/2505] lr: 5.0000e-04 eta: 23:29:19 time: 0.8894 data_time: 0.0290 memory: 22238 grad_norm: 19.2841 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5230 loss: 1.5230 2022/07/31 18:17:29 - mmengine - INFO - Epoch(train) [24][1620/2505] lr: 5.0000e-04 eta: 23:29:03 time: 1.1324 data_time: 0.0287 memory: 22238 grad_norm: 19.7567 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.5710 loss: 1.5710 2022/07/31 18:17:46 - mmengine - INFO - Epoch(train) [24][1640/2505] lr: 5.0000e-04 eta: 23:28:39 time: 0.8260 data_time: 0.0341 memory: 22238 grad_norm: 19.4084 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7936 loss: 1.7936 2022/07/31 18:18:08 - mmengine - INFO - Epoch(train) [24][1660/2505] lr: 5.0000e-04 eta: 23:28:24 time: 1.1275 data_time: 0.0294 memory: 22238 grad_norm: 19.7118 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5460 loss: 1.5460 2022/07/31 18:18:25 - mmengine - INFO - Epoch(train) [24][1680/2505] lr: 5.0000e-04 eta: 23:27:59 time: 0.8205 data_time: 0.0317 memory: 22238 grad_norm: 19.2096 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5247 loss: 1.5247 2022/07/31 18:18:46 - mmengine - INFO - Epoch(train) [24][1700/2505] lr: 5.0000e-04 eta: 23:27:43 time: 1.0914 data_time: 0.0294 memory: 22238 grad_norm: 19.9331 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7272 loss: 1.7272 2022/07/31 18:19:04 - mmengine - INFO - Epoch(train) [24][1720/2505] lr: 5.0000e-04 eta: 23:27:20 time: 0.8708 data_time: 0.0296 memory: 22238 grad_norm: 19.4970 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5267 loss: 1.5267 2022/07/31 18:19:27 - mmengine - INFO - Epoch(train) [24][1740/2505] lr: 5.0000e-04 eta: 23:27:05 time: 1.1524 data_time: 0.0284 memory: 22238 grad_norm: 19.2941 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5671 loss: 1.5671 2022/07/31 18:19:43 - mmengine - INFO - Epoch(train) [24][1760/2505] lr: 5.0000e-04 eta: 23:26:41 time: 0.8218 data_time: 0.0302 memory: 22238 grad_norm: 18.8379 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.5344 loss: 1.5344 2022/07/31 18:20:05 - mmengine - INFO - Epoch(train) [24][1780/2505] lr: 5.0000e-04 eta: 23:26:25 time: 1.1010 data_time: 0.0314 memory: 22238 grad_norm: 19.5695 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5241 loss: 1.5241 2022/07/31 18:20:22 - mmengine - INFO - Epoch(train) [24][1800/2505] lr: 5.0000e-04 eta: 23:26:01 time: 0.8250 data_time: 0.0278 memory: 22238 grad_norm: 19.6254 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3877 loss: 1.3877 2022/07/31 18:20:44 - mmengine - INFO - Epoch(train) [24][1820/2505] lr: 5.0000e-04 eta: 23:25:45 time: 1.1120 data_time: 0.0287 memory: 22238 grad_norm: 19.6103 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6147 loss: 1.6147 2022/07/31 18:21:02 - mmengine - INFO - Epoch(train) [24][1840/2505] lr: 5.0000e-04 eta: 23:25:22 time: 0.8712 data_time: 0.0289 memory: 22238 grad_norm: 18.9693 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8091 loss: 1.8091 2022/07/31 18:21:24 - mmengine - INFO - Epoch(train) [24][1860/2505] lr: 5.0000e-04 eta: 23:25:06 time: 1.1183 data_time: 0.0285 memory: 22238 grad_norm: 19.0182 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7457 loss: 1.7457 2022/07/31 18:21:41 - mmengine - INFO - Epoch(train) [24][1880/2505] lr: 5.0000e-04 eta: 23:24:43 time: 0.8565 data_time: 0.0280 memory: 22238 grad_norm: 19.5592 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7657 loss: 1.7657 2022/07/31 18:22:02 - mmengine - INFO - Epoch(train) [24][1900/2505] lr: 5.0000e-04 eta: 23:24:25 time: 1.0617 data_time: 0.0277 memory: 22238 grad_norm: 20.4703 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7119 loss: 1.7119 2022/07/31 18:22:19 - mmengine - INFO - Epoch(train) [24][1920/2505] lr: 5.0000e-04 eta: 23:24:02 time: 0.8551 data_time: 0.0330 memory: 22238 grad_norm: 19.4159 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6280 loss: 1.6280 2022/07/31 18:22:41 - mmengine - INFO - Epoch(train) [24][1940/2505] lr: 5.0000e-04 eta: 23:23:45 time: 1.0835 data_time: 0.0307 memory: 22238 grad_norm: 18.8515 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5646 loss: 1.5646 2022/07/31 18:22:59 - mmengine - INFO - Epoch(train) [24][1960/2505] lr: 5.0000e-04 eta: 23:23:24 time: 0.9171 data_time: 0.0323 memory: 22238 grad_norm: 18.4466 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6938 loss: 1.6938 2022/07/31 18:23:20 - mmengine - INFO - Epoch(train) [24][1980/2505] lr: 5.0000e-04 eta: 23:23:05 time: 1.0290 data_time: 0.0280 memory: 22238 grad_norm: 19.1345 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6037 loss: 1.6037 2022/07/31 18:23:38 - mmengine - INFO - Epoch(train) [24][2000/2505] lr: 5.0000e-04 eta: 23:22:43 time: 0.8892 data_time: 0.0340 memory: 22238 grad_norm: 19.3685 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5520 loss: 1.5520 2022/07/31 18:24:00 - mmengine - INFO - Epoch(train) [24][2020/2505] lr: 5.0000e-04 eta: 23:22:27 time: 1.0962 data_time: 0.0321 memory: 22238 grad_norm: 19.5787 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6399 loss: 1.6399 2022/07/31 18:24:17 - mmengine - INFO - Epoch(train) [24][2040/2505] lr: 5.0000e-04 eta: 23:22:04 time: 0.8664 data_time: 0.0283 memory: 22238 grad_norm: 19.4813 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6451 loss: 1.6451 2022/07/31 18:24:38 - mmengine - INFO - Epoch(train) [24][2060/2505] lr: 5.0000e-04 eta: 23:21:47 time: 1.0668 data_time: 0.0343 memory: 22238 grad_norm: 19.7539 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5446 loss: 1.5446 2022/07/31 18:24:55 - mmengine - INFO - Epoch(train) [24][2080/2505] lr: 5.0000e-04 eta: 23:21:23 time: 0.8337 data_time: 0.0319 memory: 22238 grad_norm: 19.5802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7706 loss: 1.7706 2022/07/31 18:25:17 - mmengine - INFO - Epoch(train) [24][2100/2505] lr: 5.0000e-04 eta: 23:21:07 time: 1.1176 data_time: 0.0322 memory: 22238 grad_norm: 19.4995 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.8082 loss: 1.8082 2022/07/31 18:25:35 - mmengine - INFO - Epoch(train) [24][2120/2505] lr: 5.0000e-04 eta: 23:20:45 time: 0.8877 data_time: 0.0296 memory: 22238 grad_norm: 19.6192 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9967 loss: 1.9967 2022/07/31 18:25:56 - mmengine - INFO - Epoch(train) [24][2140/2505] lr: 5.0000e-04 eta: 23:20:27 time: 1.0530 data_time: 0.0323 memory: 22238 grad_norm: 19.3755 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7503 loss: 1.7503 2022/07/31 18:26:14 - mmengine - INFO - Epoch(train) [24][2160/2505] lr: 5.0000e-04 eta: 23:20:04 time: 0.8681 data_time: 0.0333 memory: 22238 grad_norm: 19.3521 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5793 loss: 1.5793 2022/07/31 18:26:36 - mmengine - INFO - Epoch(train) [24][2180/2505] lr: 5.0000e-04 eta: 23:19:49 time: 1.1368 data_time: 0.0287 memory: 22238 grad_norm: 19.1449 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9188 loss: 1.9188 2022/07/31 18:26:53 - mmengine - INFO - Epoch(train) [24][2200/2505] lr: 5.0000e-04 eta: 23:19:25 time: 0.8494 data_time: 0.0333 memory: 22238 grad_norm: 19.2785 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.6508 loss: 1.6508 2022/07/31 18:27:16 - mmengine - INFO - Epoch(train) [24][2220/2505] lr: 5.0000e-04 eta: 23:19:10 time: 1.1399 data_time: 0.0285 memory: 22238 grad_norm: 20.2860 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6321 loss: 1.6321 2022/07/31 18:27:33 - mmengine - INFO - Epoch(train) [24][2240/2505] lr: 5.0000e-04 eta: 23:18:47 time: 0.8570 data_time: 0.0316 memory: 22238 grad_norm: 19.9649 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6431 loss: 1.6431 2022/07/31 18:27:55 - mmengine - INFO - Epoch(train) [24][2260/2505] lr: 5.0000e-04 eta: 23:18:30 time: 1.0802 data_time: 0.0292 memory: 22238 grad_norm: 19.1351 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6252 loss: 1.6252 2022/07/31 18:28:13 - mmengine - INFO - Epoch(train) [24][2280/2505] lr: 5.0000e-04 eta: 23:18:08 time: 0.8923 data_time: 0.0310 memory: 22238 grad_norm: 19.1675 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7360 loss: 1.7360 2022/07/31 18:28:35 - mmengine - INFO - Epoch(train) [24][2300/2505] lr: 5.0000e-04 eta: 23:17:52 time: 1.1292 data_time: 0.0308 memory: 22238 grad_norm: 19.1577 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7024 loss: 1.7024 2022/07/31 18:28:52 - mmengine - INFO - Epoch(train) [24][2320/2505] lr: 5.0000e-04 eta: 23:17:29 time: 0.8506 data_time: 0.0300 memory: 22238 grad_norm: 20.1093 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5153 loss: 1.5153 2022/07/31 18:29:15 - mmengine - INFO - Epoch(train) [24][2340/2505] lr: 5.0000e-04 eta: 23:17:13 time: 1.1257 data_time: 0.0290 memory: 22238 grad_norm: 19.6132 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8298 loss: 1.8298 2022/07/31 18:29:32 - mmengine - INFO - Epoch(train) [24][2360/2505] lr: 5.0000e-04 eta: 23:16:50 time: 0.8435 data_time: 0.0290 memory: 22238 grad_norm: 19.4340 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6948 loss: 1.6948 2022/07/31 18:29:53 - mmengine - INFO - Epoch(train) [24][2380/2505] lr: 5.0000e-04 eta: 23:16:32 time: 1.0593 data_time: 0.0294 memory: 22238 grad_norm: 19.6512 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4883 loss: 1.4883 2022/07/31 18:30:00 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 18:30:11 - mmengine - INFO - Epoch(train) [24][2400/2505] lr: 5.0000e-04 eta: 23:16:11 time: 0.9087 data_time: 0.0324 memory: 22238 grad_norm: 19.0802 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5399 loss: 1.5399 2022/07/31 18:30:33 - mmengine - INFO - Epoch(train) [24][2420/2505] lr: 5.0000e-04 eta: 23:15:54 time: 1.0923 data_time: 0.0309 memory: 22238 grad_norm: 19.1736 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7282 loss: 1.7282 2022/07/31 18:30:50 - mmengine - INFO - Epoch(train) [24][2440/2505] lr: 5.0000e-04 eta: 23:15:31 time: 0.8620 data_time: 0.0310 memory: 22238 grad_norm: 20.0430 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6059 loss: 1.6059 2022/07/31 18:31:13 - mmengine - INFO - Epoch(train) [24][2460/2505] lr: 5.0000e-04 eta: 23:15:16 time: 1.1265 data_time: 0.0289 memory: 22238 grad_norm: 21.0975 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4947 loss: 1.4947 2022/07/31 18:31:30 - mmengine - INFO - Epoch(train) [24][2480/2505] lr: 5.0000e-04 eta: 23:14:53 time: 0.8855 data_time: 0.0321 memory: 22238 grad_norm: 19.2190 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9569 loss: 1.9569 2022/07/31 18:31:49 - mmengine - INFO - Epoch(train) [24][2500/2505] lr: 5.0000e-04 eta: 23:14:32 time: 0.9203 data_time: 0.0304 memory: 22238 grad_norm: 18.8297 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5240 loss: 1.5240 2022/07/31 18:31:51 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 18:31:51 - mmengine - INFO - Epoch(train) [24][2505/2505] lr: 5.0000e-04 eta: 23:14:32 time: 0.6779 data_time: 0.0205 memory: 22238 grad_norm: 19.4855 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.6408 loss: 1.6408 2022/07/31 18:31:51 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/07/31 18:31:55 - mmengine - INFO - Epoch(val) [24][20/2475] eta: 0:03:58 time: 0.0972 data_time: 0.0763 memory: 564 2022/07/31 18:31:57 - mmengine - INFO - Epoch(val) [24][40/2475] eta: 0:03:25 time: 0.0846 data_time: 0.0632 memory: 564 2022/07/31 18:31:59 - mmengine - INFO - Epoch(val) [24][60/2475] eta: 0:03:45 time: 0.0933 data_time: 0.0716 memory: 564 2022/07/31 18:32:00 - mmengine - INFO - Epoch(val) [24][80/2475] eta: 0:02:44 time: 0.0685 data_time: 0.0491 memory: 564 2022/07/31 18:32:02 - mmengine - INFO - Epoch(val) [24][100/2475] eta: 0:04:05 time: 0.1035 data_time: 0.0860 memory: 564 2022/07/31 18:32:04 - mmengine - INFO - Epoch(val) [24][120/2475] eta: 0:02:32 time: 0.0646 data_time: 0.0450 memory: 564 2022/07/31 18:32:05 - mmengine - INFO - Epoch(val) [24][140/2475] eta: 0:03:20 time: 0.0857 data_time: 0.0663 memory: 564 2022/07/31 18:32:07 - mmengine - INFO - Epoch(val) [24][160/2475] eta: 0:03:01 time: 0.0786 data_time: 0.0607 memory: 564 2022/07/31 18:32:09 - mmengine - INFO - Epoch(val) [24][180/2475] eta: 0:03:09 time: 0.0824 data_time: 0.0630 memory: 564 2022/07/31 18:32:10 - mmengine - INFO - Epoch(val) [24][200/2475] eta: 0:02:44 time: 0.0722 data_time: 0.0513 memory: 564 2022/07/31 18:32:12 - mmengine - INFO - Epoch(val) [24][220/2475] eta: 0:02:59 time: 0.0794 data_time: 0.0610 memory: 564 2022/07/31 18:32:14 - mmengine - INFO - Epoch(val) [24][240/2475] eta: 0:03:22 time: 0.0905 data_time: 0.0719 memory: 564 2022/07/31 18:32:15 - mmengine - INFO - Epoch(val) [24][260/2475] eta: 0:02:44 time: 0.0743 data_time: 0.0542 memory: 564 2022/07/31 18:32:17 - mmengine - INFO - Epoch(val) [24][280/2475] eta: 0:02:54 time: 0.0796 data_time: 0.0585 memory: 564 2022/07/31 18:32:18 - mmengine - INFO - Epoch(val) [24][300/2475] eta: 0:02:47 time: 0.0772 data_time: 0.0597 memory: 564 2022/07/31 18:32:20 - mmengine - INFO - Epoch(val) [24][320/2475] eta: 0:03:11 time: 0.0886 data_time: 0.0707 memory: 564 2022/07/31 18:32:21 - mmengine - INFO - Epoch(val) [24][340/2475] eta: 0:02:27 time: 0.0691 data_time: 0.0496 memory: 564 2022/07/31 18:32:23 - mmengine - INFO - Epoch(val) [24][360/2475] eta: 0:03:31 time: 0.0998 data_time: 0.0809 memory: 564 2022/07/31 18:32:25 - mmengine - INFO - Epoch(val) [24][380/2475] eta: 0:02:09 time: 0.0619 data_time: 0.0380 memory: 564 2022/07/31 18:32:26 - mmengine - INFO - Epoch(val) [24][400/2475] eta: 0:03:03 time: 0.0885 data_time: 0.0717 memory: 564 2022/07/31 18:32:28 - mmengine - INFO - Epoch(val) [24][420/2475] eta: 0:02:32 time: 0.0743 data_time: 0.0528 memory: 564 2022/07/31 18:32:30 - mmengine - INFO - Epoch(val) [24][440/2475] eta: 0:02:56 time: 0.0868 data_time: 0.0664 memory: 564 2022/07/31 18:32:31 - mmengine - INFO - Epoch(val) [24][460/2475] eta: 0:02:14 time: 0.0666 data_time: 0.0464 memory: 564 2022/07/31 18:32:33 - 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mmengine - INFO - Epoch(val) [24][840/2475] eta: 0:01:50 time: 0.0678 data_time: 0.0455 memory: 564 2022/07/31 18:33:03 - mmengine - INFO - Epoch(val) [24][860/2475] eta: 0:02:20 time: 0.0873 data_time: 0.0690 memory: 564 2022/07/31 18:33:05 - mmengine - INFO - Epoch(val) [24][880/2475] eta: 0:01:53 time: 0.0711 data_time: 0.0478 memory: 564 2022/07/31 18:33:07 - mmengine - INFO - Epoch(val) [24][900/2475] eta: 0:02:32 time: 0.0969 data_time: 0.0786 memory: 564 2022/07/31 18:33:08 - mmengine - INFO - Epoch(val) [24][920/2475] eta: 0:01:49 time: 0.0701 data_time: 0.0515 memory: 564 2022/07/31 18:33:10 - mmengine - INFO - Epoch(val) [24][940/2475] eta: 0:02:18 time: 0.0904 data_time: 0.0718 memory: 564 2022/07/31 18:33:11 - mmengine - INFO - Epoch(val) [24][960/2475] eta: 0:01:50 time: 0.0729 data_time: 0.0534 memory: 564 2022/07/31 18:33:13 - mmengine - INFO - Epoch(val) [24][980/2475] eta: 0:02:20 time: 0.0942 data_time: 0.0758 memory: 564 2022/07/31 18:33:15 - mmengine - INFO - Epoch(val) [24][1000/2475] eta: 0:01:46 time: 0.0720 data_time: 0.0496 memory: 564 2022/07/31 18:33:17 - mmengine - INFO - Epoch(val) [24][1020/2475] eta: 0:02:13 time: 0.0915 data_time: 0.0727 memory: 564 2022/07/31 18:33:18 - mmengine - INFO - Epoch(val) [24][1040/2475] eta: 0:01:37 time: 0.0681 data_time: 0.0491 memory: 564 2022/07/31 18:33:20 - mmengine - INFO - Epoch(val) [24][1060/2475] eta: 0:02:08 time: 0.0910 data_time: 0.0718 memory: 564 2022/07/31 18:33:21 - mmengine - INFO - Epoch(val) [24][1080/2475] eta: 0:01:45 time: 0.0759 data_time: 0.0559 memory: 564 2022/07/31 18:33:23 - mmengine - INFO - Epoch(val) [24][1100/2475] eta: 0:02:11 time: 0.0960 data_time: 0.0769 memory: 564 2022/07/31 18:33:25 - mmengine - INFO - Epoch(val) [24][1120/2475] eta: 0:01:33 time: 0.0692 data_time: 0.0479 memory: 564 2022/07/31 18:33:26 - mmengine - INFO - Epoch(val) [24][1140/2475] eta: 0:01:57 time: 0.0883 data_time: 0.0689 memory: 564 2022/07/31 18:33:28 - mmengine - INFO - Epoch(val) [24][1160/2475] eta: 0:01:25 time: 0.0649 data_time: 0.0469 memory: 564 2022/07/31 18:33:29 - mmengine - INFO - Epoch(val) [24][1180/2475] eta: 0:01:54 time: 0.0883 data_time: 0.0696 memory: 564 2022/07/31 18:33:31 - mmengine - INFO - Epoch(val) [24][1200/2475] eta: 0:01:35 time: 0.0749 data_time: 0.0547 memory: 564 2022/07/31 18:33:33 - mmengine - INFO - Epoch(val) [24][1220/2475] eta: 0:02:01 time: 0.0966 data_time: 0.0784 memory: 564 2022/07/31 18:33:34 - mmengine - INFO - Epoch(val) [24][1240/2475] eta: 0:01:24 time: 0.0685 data_time: 0.0502 memory: 564 2022/07/31 18:33:36 - mmengine - INFO - Epoch(val) [24][1260/2475] eta: 0:01:48 time: 0.0896 data_time: 0.0703 memory: 564 2022/07/31 18:33:37 - mmengine - INFO - Epoch(val) [24][1280/2475] eta: 0:01:27 time: 0.0735 data_time: 0.0546 memory: 564 2022/07/31 18:33:39 - mmengine - INFO - Epoch(val) [24][1300/2475] eta: 0:01:35 time: 0.0810 data_time: 0.0584 memory: 564 2022/07/31 18:33:41 - mmengine - INFO - Epoch(val) [24][1320/2475] eta: 0:01:44 time: 0.0904 data_time: 0.0715 memory: 564 2022/07/31 18:33:42 - mmengine - INFO - Epoch(val) [24][1340/2475] eta: 0:01:13 time: 0.0651 data_time: 0.0475 memory: 564 2022/07/31 18:33:44 - mmengine - INFO - Epoch(val) [24][1360/2475] eta: 0:01:38 time: 0.0887 data_time: 0.0690 memory: 564 2022/07/31 18:33:45 - mmengine - INFO - Epoch(val) [24][1380/2475] eta: 0:01:21 time: 0.0743 data_time: 0.0548 memory: 564 2022/07/31 18:33:47 - mmengine - INFO - Epoch(val) [24][1400/2475] eta: 0:01:35 time: 0.0893 data_time: 0.0706 memory: 564 2022/07/31 18:33:49 - mmengine - INFO - Epoch(val) [24][1420/2475] eta: 0:01:14 time: 0.0703 data_time: 0.0504 memory: 564 2022/07/31 18:33:50 - mmengine - INFO - Epoch(val) [24][1440/2475] eta: 0:01:31 time: 0.0886 data_time: 0.0689 memory: 564 2022/07/31 18:33:52 - mmengine - INFO - Epoch(val) [24][1460/2475] eta: 0:01:14 time: 0.0735 data_time: 0.0536 memory: 564 2022/07/31 18:33:54 - mmengine - INFO - Epoch(val) [24][1480/2475] eta: 0:01:36 time: 0.0970 data_time: 0.0781 memory: 564 2022/07/31 18:33:55 - mmengine - INFO - Epoch(val) [24][1500/2475] eta: 0:01:03 time: 0.0653 data_time: 0.0468 memory: 564 2022/07/31 18:33:57 - mmengine - INFO - Epoch(val) [24][1520/2475] eta: 0:01:30 time: 0.0943 data_time: 0.0759 memory: 564 2022/07/31 18:33:58 - mmengine - INFO - Epoch(val) [24][1540/2475] eta: 0:01:07 time: 0.0726 data_time: 0.0560 memory: 564 2022/07/31 18:34:00 - mmengine - INFO - Epoch(val) [24][1560/2475] eta: 0:01:13 time: 0.0801 data_time: 0.0627 memory: 564 2022/07/31 18:34:02 - mmengine - INFO - Epoch(val) [24][1580/2475] eta: 0:01:07 time: 0.0758 data_time: 0.0582 memory: 564 2022/07/31 18:34:04 - mmengine - INFO - Epoch(val) [24][1600/2475] eta: 0:01:27 time: 0.1004 data_time: 0.0834 memory: 564 2022/07/31 18:34:05 - mmengine - INFO - Epoch(val) [24][1620/2475] eta: 0:00:58 time: 0.0686 data_time: 0.0414 memory: 564 2022/07/31 18:34:07 - mmengine - INFO - Epoch(val) [24][1640/2475] eta: 0:01:06 time: 0.0790 data_time: 0.0599 memory: 564 2022/07/31 18:34:08 - mmengine - INFO - Epoch(val) [24][1660/2475] eta: 0:01:07 time: 0.0826 data_time: 0.0642 memory: 564 2022/07/31 18:34:10 - mmengine - INFO - Epoch(val) [24][1680/2475] eta: 0:00:58 time: 0.0738 data_time: 0.0565 memory: 564 2022/07/31 18:34:11 - mmengine - INFO - Epoch(val) [24][1700/2475] eta: 0:01:05 time: 0.0841 data_time: 0.0637 memory: 564 2022/07/31 18:34:13 - mmengine - INFO - Epoch(val) [24][1720/2475] eta: 0:01:03 time: 0.0844 data_time: 0.0667 memory: 564 2022/07/31 18:34:15 - mmengine - INFO - Epoch(val) [24][1740/2475] eta: 0:00:57 time: 0.0783 data_time: 0.0580 memory: 564 2022/07/31 18:34:17 - mmengine - INFO - Epoch(val) [24][1760/2475] eta: 0:01:07 time: 0.0947 data_time: 0.0746 memory: 564 2022/07/31 18:34:18 - mmengine - INFO - Epoch(val) [24][1780/2475] eta: 0:00:50 time: 0.0724 data_time: 0.0534 memory: 564 2022/07/31 18:34:20 - mmengine - INFO - Epoch(val) [24][1800/2475] eta: 0:01:01 time: 0.0913 data_time: 0.0732 memory: 564 2022/07/31 18:34:22 - mmengine - INFO - Epoch(val) [24][1820/2475] eta: 0:00:55 time: 0.0854 data_time: 0.0649 memory: 564 2022/07/31 18:34:23 - mmengine - INFO - Epoch(val) [24][1840/2475] eta: 0:00:48 time: 0.0762 data_time: 0.0547 memory: 564 2022/07/31 18:34:25 - mmengine - INFO - Epoch(val) [24][1860/2475] eta: 0:00:52 time: 0.0850 data_time: 0.0638 memory: 564 2022/07/31 18:34:26 - mmengine - INFO - Epoch(val) [24][1880/2475] eta: 0:00:44 time: 0.0756 data_time: 0.0553 memory: 564 2022/07/31 18:34:28 - mmengine - INFO - Epoch(val) [24][1900/2475] eta: 0:00:41 time: 0.0728 data_time: 0.0514 memory: 564 2022/07/31 18:34:29 - mmengine - INFO - Epoch(val) [24][1920/2475] eta: 0:00:45 time: 0.0821 data_time: 0.0612 memory: 564 2022/07/31 18:34:31 - mmengine - INFO - Epoch(val) [24][1940/2475] eta: 0:00:40 time: 0.0754 data_time: 0.0556 memory: 564 2022/07/31 18:34:33 - mmengine - INFO - Epoch(val) [24][1960/2475] eta: 0:00:46 time: 0.0894 data_time: 0.0693 memory: 564 2022/07/31 18:34:34 - mmengine - INFO - Epoch(val) [24][1980/2475] eta: 0:00:37 time: 0.0758 data_time: 0.0550 memory: 564 2022/07/31 18:34:36 - mmengine - INFO - Epoch(val) [24][2000/2475] eta: 0:00:53 time: 0.1125 data_time: 0.0948 memory: 564 2022/07/31 18:34:38 - mmengine - INFO - Epoch(val) [24][2020/2475] eta: 0:00:31 time: 0.0687 data_time: 0.0503 memory: 564 2022/07/31 18:34:40 - mmengine - INFO - Epoch(val) [24][2040/2475] eta: 0:00:40 time: 0.0928 data_time: 0.0744 memory: 564 2022/07/31 18:34:41 - mmengine - INFO - Epoch(val) [24][2060/2475] eta: 0:00:26 time: 0.0642 data_time: 0.0444 memory: 564 2022/07/31 18:34:42 - mmengine - INFO - Epoch(val) [24][2080/2475] eta: 0:00:27 time: 0.0697 data_time: 0.0511 memory: 564 2022/07/31 18:34:44 - mmengine - INFO - Epoch(val) [24][2100/2475] eta: 0:00:28 time: 0.0766 data_time: 0.0573 memory: 564 2022/07/31 18:34:46 - mmengine - INFO - Epoch(val) [24][2120/2475] eta: 0:00:30 time: 0.0869 data_time: 0.0673 memory: 564 2022/07/31 18:34:47 - mmengine - INFO - Epoch(val) [24][2140/2475] eta: 0:00:23 time: 0.0711 data_time: 0.0513 memory: 564 2022/07/31 18:34:49 - mmengine - INFO - Epoch(val) [24][2160/2475] eta: 0:00:25 time: 0.0811 data_time: 0.0587 memory: 564 2022/07/31 18:34:50 - mmengine - INFO - Epoch(val) [24][2180/2475] eta: 0:00:22 time: 0.0769 data_time: 0.0571 memory: 564 2022/07/31 18:34:52 - mmengine - INFO - Epoch(val) [24][2200/2475] eta: 0:00:22 time: 0.0826 data_time: 0.0622 memory: 564 2022/07/31 18:34:54 - mmengine - INFO - Epoch(val) [24][2220/2475] eta: 0:00:21 time: 0.0848 data_time: 0.0638 memory: 564 2022/07/31 18:34:55 - mmengine - INFO - Epoch(val) [24][2240/2475] eta: 0:00:18 time: 0.0773 data_time: 0.0551 memory: 564 2022/07/31 18:34:57 - mmengine - INFO - Epoch(val) [24][2260/2475] eta: 0:00:18 time: 0.0847 data_time: 0.0633 memory: 564 2022/07/31 18:34:59 - mmengine - INFO - Epoch(val) [24][2280/2475] eta: 0:00:17 time: 0.0873 data_time: 0.0669 memory: 564 2022/07/31 18:35:00 - mmengine - INFO - Epoch(val) [24][2300/2475] eta: 0:00:13 time: 0.0765 data_time: 0.0552 memory: 564 2022/07/31 18:35:02 - mmengine - INFO - Epoch(val) [24][2320/2475] eta: 0:00:13 time: 0.0879 data_time: 0.0690 memory: 564 2022/07/31 18:35:04 - mmengine - INFO - Epoch(val) [24][2340/2475] eta: 0:00:12 time: 0.0941 data_time: 0.0733 memory: 564 2022/07/31 18:35:05 - mmengine - INFO - Epoch(val) [24][2360/2475] eta: 0:00:09 time: 0.0801 data_time: 0.0613 memory: 564 2022/07/31 18:35:07 - mmengine - INFO - Epoch(val) [24][2380/2475] eta: 0:00:07 time: 0.0827 data_time: 0.0632 memory: 564 2022/07/31 18:35:09 - mmengine - INFO - Epoch(val) [24][2400/2475] eta: 0:00:06 time: 0.0858 data_time: 0.0667 memory: 564 2022/07/31 18:35:11 - mmengine - INFO - Epoch(val) [24][2420/2475] eta: 0:00:04 time: 0.0881 data_time: 0.0690 memory: 564 2022/07/31 18:35:12 - mmengine - INFO - Epoch(val) [24][2440/2475] eta: 0:00:02 time: 0.0721 data_time: 0.0539 memory: 564 2022/07/31 18:35:13 - mmengine - INFO - Epoch(val) [24][2460/2475] eta: 0:00:00 time: 0.0503 data_time: 0.0321 memory: 564 2022/07/31 18:35:15 - mmengine - INFO - Epoch(val) [24][2475/2475] acc/top1: 0.6673 acc/top5: 0.8704 acc/mean1: 0.6673 2022/07/31 18:35:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/07/31 18:35:18 - mmengine - INFO - The best checkpoint with 0.6673 acc/top1 at 25 epoch is saved to best_acc/top1_epoch_25.pth. 2022/07/31 18:35:43 - mmengine - INFO - Epoch(train) [25][20/2505] lr: 5.0000e-04 eta: 23:14:08 time: 1.2542 data_time: 0.8536 memory: 22238 grad_norm: 19.9112 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5072 loss: 1.5072 2022/07/31 18:36:00 - mmengine - INFO - Epoch(train) [25][40/2505] lr: 5.0000e-04 eta: 23:13:45 time: 0.8706 data_time: 0.4798 memory: 22238 grad_norm: 19.9053 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7053 loss: 1.7053 2022/07/31 18:36:22 - mmengine - INFO - Epoch(train) [25][60/2505] lr: 5.0000e-04 eta: 23:13:29 time: 1.1143 data_time: 0.7282 memory: 22238 grad_norm: 19.1481 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5147 loss: 1.5147 2022/07/31 18:36:40 - mmengine - INFO - Epoch(train) [25][80/2505] lr: 5.0000e-04 eta: 23:13:07 time: 0.8987 data_time: 0.4760 memory: 22238 grad_norm: 19.8730 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7074 loss: 1.7074 2022/07/31 18:37:03 - mmengine - INFO - Epoch(train) [25][100/2505] lr: 5.0000e-04 eta: 23:12:51 time: 1.1198 data_time: 0.5582 memory: 22238 grad_norm: 18.9836 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4886 loss: 1.4886 2022/07/31 18:37:20 - mmengine - INFO - Epoch(train) [25][120/2505] lr: 5.0000e-04 eta: 23:12:29 time: 0.8689 data_time: 0.3288 memory: 22238 grad_norm: 19.9965 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3798 loss: 1.3798 2022/07/31 18:37:43 - mmengine - INFO - Epoch(train) [25][140/2505] lr: 5.0000e-04 eta: 23:12:13 time: 1.1201 data_time: 0.4715 memory: 22238 grad_norm: 19.3946 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7205 loss: 1.7205 2022/07/31 18:38:00 - mmengine - INFO - Epoch(train) [25][160/2505] lr: 5.0000e-04 eta: 23:11:50 time: 0.8877 data_time: 0.3923 memory: 22238 grad_norm: 19.5024 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7411 loss: 1.7411 2022/07/31 18:38:22 - mmengine - INFO - Epoch(train) [25][180/2505] lr: 5.0000e-04 eta: 23:11:34 time: 1.0887 data_time: 0.4305 memory: 22238 grad_norm: 19.7712 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6508 loss: 1.6508 2022/07/31 18:38:40 - mmengine - INFO - Epoch(train) [25][200/2505] lr: 5.0000e-04 eta: 23:11:12 time: 0.9001 data_time: 0.3436 memory: 22238 grad_norm: 19.7997 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7455 loss: 1.7455 2022/07/31 18:39:02 - mmengine - INFO - Epoch(train) [25][220/2505] lr: 5.0000e-04 eta: 23:10:56 time: 1.1022 data_time: 0.5788 memory: 22238 grad_norm: 19.1358 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5628 loss: 1.5628 2022/07/31 18:39:19 - mmengine - INFO - Epoch(train) [25][240/2505] lr: 5.0000e-04 eta: 23:10:33 time: 0.8652 data_time: 0.3688 memory: 22238 grad_norm: 19.4546 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7499 loss: 1.7499 2022/07/31 18:39:41 - mmengine - INFO - Epoch(train) [25][260/2505] lr: 5.0000e-04 eta: 23:10:16 time: 1.0814 data_time: 0.6159 memory: 22238 grad_norm: 19.0292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8016 loss: 1.8016 2022/07/31 18:39:58 - mmengine - INFO - Epoch(train) [25][280/2505] lr: 5.0000e-04 eta: 23:09:53 time: 0.8567 data_time: 0.3624 memory: 22238 grad_norm: 18.4818 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.8274 loss: 1.8274 2022/07/31 18:40:20 - mmengine - INFO - Epoch(train) [25][300/2505] lr: 5.0000e-04 eta: 23:09:37 time: 1.1126 data_time: 0.5976 memory: 22238 grad_norm: 20.0777 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6863 loss: 1.6863 2022/07/31 18:40:38 - mmengine - INFO - Epoch(train) [25][320/2505] lr: 5.0000e-04 eta: 23:09:15 time: 0.8960 data_time: 0.3800 memory: 22238 grad_norm: 19.7046 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6465 loss: 1.6465 2022/07/31 18:41:00 - mmengine - INFO - Epoch(train) [25][340/2505] lr: 5.0000e-04 eta: 23:08:58 time: 1.1019 data_time: 0.7048 memory: 22238 grad_norm: 19.8335 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6492 loss: 1.6492 2022/07/31 18:41:18 - mmengine - INFO - Epoch(train) [25][360/2505] lr: 5.0000e-04 eta: 23:08:35 time: 0.8668 data_time: 0.4460 memory: 22238 grad_norm: 19.0618 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5902 loss: 1.5902 2022/07/31 18:41:40 - mmengine - INFO - Epoch(train) [25][380/2505] lr: 5.0000e-04 eta: 23:08:19 time: 1.1050 data_time: 0.6920 memory: 22238 grad_norm: 20.4473 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6937 loss: 1.6937 2022/07/31 18:41:57 - mmengine - INFO - Epoch(train) [25][400/2505] lr: 5.0000e-04 eta: 23:07:56 time: 0.8432 data_time: 0.4347 memory: 22238 grad_norm: 20.1623 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.5616 loss: 1.5616 2022/07/31 18:42:19 - mmengine - INFO - Epoch(train) [25][420/2505] lr: 5.0000e-04 eta: 23:07:39 time: 1.0993 data_time: 0.6799 memory: 22238 grad_norm: 19.0656 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7644 loss: 1.7644 2022/07/31 18:42:37 - mmengine - INFO - Epoch(train) [25][440/2505] lr: 5.0000e-04 eta: 23:07:17 time: 0.8915 data_time: 0.4748 memory: 22238 grad_norm: 18.9801 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6690 loss: 1.6690 2022/07/31 18:42:58 - mmengine - INFO - Epoch(train) [25][460/2505] lr: 5.0000e-04 eta: 23:07:00 time: 1.0870 data_time: 0.6480 memory: 22238 grad_norm: 19.1691 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6963 loss: 1.6963 2022/07/31 18:43:16 - mmengine - INFO - Epoch(train) [25][480/2505] lr: 5.0000e-04 eta: 23:06:37 time: 0.8611 data_time: 0.3793 memory: 22238 grad_norm: 18.8701 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8025 loss: 1.8025 2022/07/31 18:43:36 - mmengine - INFO - Epoch(train) [25][500/2505] lr: 5.0000e-04 eta: 23:06:19 time: 1.0371 data_time: 0.4562 memory: 22238 grad_norm: 19.2154 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5299 loss: 1.5299 2022/07/31 18:43:54 - mmengine - INFO - Epoch(train) [25][520/2505] lr: 5.0000e-04 eta: 23:05:57 time: 0.8812 data_time: 0.2903 memory: 22238 grad_norm: 21.0419 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4755 loss: 1.4755 2022/07/31 18:44:16 - mmengine - INFO - Epoch(train) [25][540/2505] lr: 5.0000e-04 eta: 23:05:40 time: 1.0802 data_time: 0.4163 memory: 22238 grad_norm: 19.1139 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5197 loss: 1.5197 2022/07/31 18:44:33 - mmengine - INFO - Epoch(train) [25][560/2505] lr: 5.0000e-04 eta: 23:05:17 time: 0.8871 data_time: 0.3755 memory: 22238 grad_norm: 19.1028 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5697 loss: 1.5697 2022/07/31 18:44:55 - mmengine - INFO - Epoch(train) [25][580/2505] lr: 5.0000e-04 eta: 23:05:00 time: 1.0669 data_time: 0.4753 memory: 22238 grad_norm: 19.1700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6654 loss: 1.6654 2022/07/31 18:45:13 - mmengine - INFO - Epoch(train) [25][600/2505] lr: 5.0000e-04 eta: 23:04:39 time: 0.9196 data_time: 0.4029 memory: 22238 grad_norm: 19.5743 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6239 loss: 1.6239 2022/07/31 18:45:35 - mmengine - INFO - Epoch(train) [25][620/2505] lr: 5.0000e-04 eta: 23:04:22 time: 1.0764 data_time: 0.6466 memory: 22238 grad_norm: 19.5669 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0371 loss: 2.0371 2022/07/31 18:45:52 - mmengine - INFO - Epoch(train) [25][640/2505] lr: 5.0000e-04 eta: 23:03:58 time: 0.8518 data_time: 0.4391 memory: 22238 grad_norm: 19.9706 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.9148 loss: 1.9148 2022/07/31 18:46:13 - mmengine - INFO - Epoch(train) [25][660/2505] lr: 5.0000e-04 eta: 23:03:41 time: 1.0766 data_time: 0.6491 memory: 22238 grad_norm: 19.3673 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.3765 loss: 1.3765 2022/07/31 18:46:31 - mmengine - INFO - Epoch(train) [25][680/2505] lr: 5.0000e-04 eta: 23:03:19 time: 0.8984 data_time: 0.4443 memory: 22238 grad_norm: 19.8291 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6236 loss: 1.6236 2022/07/31 18:46:53 - mmengine - INFO - Epoch(train) [25][700/2505] lr: 5.0000e-04 eta: 23:03:03 time: 1.1086 data_time: 0.6359 memory: 22238 grad_norm: 18.8747 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5161 loss: 1.5161 2022/07/31 18:47:11 - mmengine - INFO - Epoch(train) [25][720/2505] lr: 5.0000e-04 eta: 23:02:41 time: 0.8715 data_time: 0.4537 memory: 22238 grad_norm: 18.5275 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6000 loss: 1.6000 2022/07/31 18:47:34 - mmengine - INFO - Epoch(train) [25][740/2505] lr: 5.0000e-04 eta: 23:02:25 time: 1.1433 data_time: 0.7141 memory: 22238 grad_norm: 19.4144 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.6706 loss: 1.6706 2022/07/31 18:47:51 - mmengine - INFO - Epoch(train) [25][760/2505] lr: 5.0000e-04 eta: 23:02:02 time: 0.8601 data_time: 0.4337 memory: 22238 grad_norm: 19.7274 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8675 loss: 1.8675 2022/07/31 18:48:13 - mmengine - INFO - Epoch(train) [25][780/2505] lr: 5.0000e-04 eta: 23:01:45 time: 1.0827 data_time: 0.5525 memory: 22238 grad_norm: 18.9870 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7801 loss: 1.7801 2022/07/31 18:48:29 - mmengine - INFO - Epoch(train) [25][800/2505] lr: 5.0000e-04 eta: 23:01:22 time: 0.8460 data_time: 0.3478 memory: 22238 grad_norm: 19.4031 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.8084 loss: 1.8084 2022/07/31 18:48:51 - mmengine - INFO - Epoch(train) [25][820/2505] lr: 5.0000e-04 eta: 23:01:05 time: 1.0681 data_time: 0.4163 memory: 22238 grad_norm: 20.2922 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6766 loss: 1.6766 2022/07/31 18:49:09 - mmengine - INFO - Epoch(train) [25][840/2505] lr: 5.0000e-04 eta: 23:00:43 time: 0.9058 data_time: 0.3307 memory: 22238 grad_norm: 19.5116 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5691 loss: 1.5691 2022/07/31 18:49:30 - mmengine - INFO - Epoch(train) [25][860/2505] lr: 5.0000e-04 eta: 23:00:25 time: 1.0524 data_time: 0.4824 memory: 22238 grad_norm: 19.1554 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5675 loss: 1.5675 2022/07/31 18:49:47 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 18:49:48 - mmengine - INFO - Epoch(train) [25][880/2505] lr: 5.0000e-04 eta: 23:00:03 time: 0.8774 data_time: 0.3463 memory: 22238 grad_norm: 19.2634 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7064 loss: 1.7064 2022/07/31 18:50:10 - mmengine - INFO - Epoch(train) [25][900/2505] lr: 5.0000e-04 eta: 22:59:48 time: 1.1449 data_time: 0.6391 memory: 22238 grad_norm: 19.9316 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7679 loss: 1.7679 2022/07/31 18:50:28 - mmengine - INFO - Epoch(train) [25][920/2505] lr: 5.0000e-04 eta: 22:59:25 time: 0.8607 data_time: 0.3694 memory: 22238 grad_norm: 20.0109 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0824 loss: 2.0824 2022/07/31 18:50:50 - mmengine - INFO - Epoch(train) [25][940/2505] lr: 5.0000e-04 eta: 22:59:09 time: 1.1128 data_time: 0.5753 memory: 22238 grad_norm: 19.7510 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6980 loss: 1.6980 2022/07/31 18:51:07 - mmengine - INFO - Epoch(train) [25][960/2505] lr: 5.0000e-04 eta: 22:58:45 time: 0.8488 data_time: 0.3740 memory: 22238 grad_norm: 19.8084 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4874 loss: 1.4874 2022/07/31 18:51:29 - mmengine - INFO - Epoch(train) [25][980/2505] lr: 5.0000e-04 eta: 22:58:28 time: 1.0805 data_time: 0.5915 memory: 22238 grad_norm: 19.8835 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7820 loss: 1.7820 2022/07/31 18:51:46 - mmengine - INFO - Epoch(train) [25][1000/2505] lr: 5.0000e-04 eta: 22:58:06 time: 0.8769 data_time: 0.3915 memory: 22238 grad_norm: 19.2976 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6627 loss: 1.6627 2022/07/31 18:52:08 - mmengine - INFO - Epoch(train) [25][1020/2505] lr: 5.0000e-04 eta: 22:57:49 time: 1.0893 data_time: 0.5469 memory: 22238 grad_norm: 18.9356 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8142 loss: 1.8142 2022/07/31 18:52:25 - mmengine - INFO - Epoch(train) [25][1040/2505] lr: 5.0000e-04 eta: 22:57:26 time: 0.8600 data_time: 0.3493 memory: 22238 grad_norm: 19.3456 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7682 loss: 1.7682 2022/07/31 18:52:47 - mmengine - INFO - Epoch(train) [25][1060/2505] lr: 5.0000e-04 eta: 22:57:10 time: 1.1194 data_time: 0.4540 memory: 22238 grad_norm: 20.5213 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6582 loss: 1.6582 2022/07/31 18:53:05 - mmengine - INFO - Epoch(train) [25][1080/2505] lr: 5.0000e-04 eta: 22:56:48 time: 0.8959 data_time: 0.2859 memory: 22238 grad_norm: 19.5157 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3874 loss: 1.3874 2022/07/31 18:53:26 - mmengine - INFO - Epoch(train) [25][1100/2505] lr: 5.0000e-04 eta: 22:56:30 time: 1.0529 data_time: 0.3395 memory: 22238 grad_norm: 19.5098 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5646 loss: 1.5646 2022/07/31 18:53:44 - mmengine - INFO - Epoch(train) [25][1120/2505] lr: 5.0000e-04 eta: 22:56:08 time: 0.8885 data_time: 0.2341 memory: 22238 grad_norm: 20.3960 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7355 loss: 1.7355 2022/07/31 18:54:06 - mmengine - INFO - Epoch(train) [25][1140/2505] lr: 5.0000e-04 eta: 22:55:51 time: 1.0844 data_time: 0.4062 memory: 22238 grad_norm: 19.1524 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7998 loss: 1.7998 2022/07/31 18:54:24 - mmengine - INFO - Epoch(train) [25][1160/2505] lr: 5.0000e-04 eta: 22:55:29 time: 0.8968 data_time: 0.3340 memory: 22238 grad_norm: 19.4674 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5466 loss: 1.5466 2022/07/31 18:54:45 - mmengine - INFO - Epoch(train) [25][1180/2505] lr: 5.0000e-04 eta: 22:55:12 time: 1.0679 data_time: 0.3369 memory: 22238 grad_norm: 19.8789 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8365 loss: 1.8365 2022/07/31 18:55:03 - mmengine - INFO - Epoch(train) [25][1200/2505] lr: 5.0000e-04 eta: 22:54:50 time: 0.9018 data_time: 0.2780 memory: 22238 grad_norm: 19.7928 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8845 loss: 1.8845 2022/07/31 18:55:25 - mmengine - INFO - Epoch(train) [25][1220/2505] lr: 5.0000e-04 eta: 22:54:33 time: 1.0685 data_time: 0.3896 memory: 22238 grad_norm: 18.2486 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7051 loss: 1.7051 2022/07/31 18:55:42 - mmengine - INFO - Epoch(train) [25][1240/2505] lr: 5.0000e-04 eta: 22:54:10 time: 0.8829 data_time: 0.2604 memory: 22238 grad_norm: 19.2290 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7501 loss: 1.7501 2022/07/31 18:56:04 - mmengine - INFO - Epoch(train) [25][1260/2505] lr: 5.0000e-04 eta: 22:53:54 time: 1.1091 data_time: 0.2720 memory: 22238 grad_norm: 20.3824 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7150 loss: 1.7150 2022/07/31 18:56:21 - mmengine - INFO - Epoch(train) [25][1280/2505] lr: 5.0000e-04 eta: 22:53:31 time: 0.8450 data_time: 0.2095 memory: 22238 grad_norm: 20.0651 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6077 loss: 1.6077 2022/07/31 18:56:43 - mmengine - INFO - Epoch(train) [25][1300/2505] lr: 5.0000e-04 eta: 22:53:14 time: 1.0831 data_time: 0.3414 memory: 22238 grad_norm: 19.3381 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8569 loss: 1.8569 2022/07/31 18:57:01 - mmengine - INFO - Epoch(train) [25][1320/2505] lr: 5.0000e-04 eta: 22:52:52 time: 0.8984 data_time: 0.2541 memory: 22238 grad_norm: 18.8492 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6708 loss: 1.6708 2022/07/31 18:57:22 - mmengine - INFO - Epoch(train) [25][1340/2505] lr: 5.0000e-04 eta: 22:52:35 time: 1.0681 data_time: 0.2865 memory: 22238 grad_norm: 19.2267 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7300 loss: 1.7300 2022/07/31 18:57:40 - mmengine - INFO - Epoch(train) [25][1360/2505] lr: 5.0000e-04 eta: 22:52:12 time: 0.8864 data_time: 0.2086 memory: 22238 grad_norm: 18.9181 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9071 loss: 1.9071 2022/07/31 18:58:02 - mmengine - INFO - Epoch(train) [25][1380/2505] lr: 5.0000e-04 eta: 22:51:56 time: 1.0894 data_time: 0.2111 memory: 22238 grad_norm: 19.4000 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5118 loss: 1.5118 2022/07/31 18:58:20 - mmengine - INFO - Epoch(train) [25][1400/2505] lr: 5.0000e-04 eta: 22:51:34 time: 0.8886 data_time: 0.1194 memory: 22238 grad_norm: 20.5172 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7482 loss: 1.7482 2022/07/31 18:58:43 - mmengine - INFO - Epoch(train) [25][1420/2505] lr: 5.0000e-04 eta: 22:51:18 time: 1.1509 data_time: 0.0391 memory: 22238 grad_norm: 19.3509 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4408 loss: 1.4408 2022/07/31 18:58:59 - mmengine - INFO - Epoch(train) [25][1440/2505] lr: 5.0000e-04 eta: 22:50:54 time: 0.8038 data_time: 0.0302 memory: 22238 grad_norm: 19.2915 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6145 loss: 1.6145 2022/07/31 18:59:20 - mmengine - INFO - Epoch(train) [25][1460/2505] lr: 5.0000e-04 eta: 22:50:37 time: 1.0853 data_time: 0.0295 memory: 22238 grad_norm: 19.4930 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7905 loss: 1.7905 2022/07/31 18:59:38 - mmengine - INFO - Epoch(train) [25][1480/2505] lr: 5.0000e-04 eta: 22:50:15 time: 0.8920 data_time: 0.0281 memory: 22238 grad_norm: 18.8258 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4700 loss: 1.4700 2022/07/31 19:00:00 - mmengine - INFO - Epoch(train) [25][1500/2505] lr: 5.0000e-04 eta: 22:49:58 time: 1.0937 data_time: 0.0291 memory: 22238 grad_norm: 19.0469 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6630 loss: 1.6630 2022/07/31 19:00:18 - mmengine - INFO - Epoch(train) [25][1520/2505] lr: 5.0000e-04 eta: 22:49:36 time: 0.8901 data_time: 0.0280 memory: 22238 grad_norm: 19.4381 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4494 loss: 1.4494 2022/07/31 19:00:40 - mmengine - INFO - Epoch(train) [25][1540/2505] lr: 5.0000e-04 eta: 22:49:19 time: 1.0874 data_time: 0.0310 memory: 22238 grad_norm: 19.1548 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5049 loss: 1.5049 2022/07/31 19:00:57 - mmengine - INFO - Epoch(train) [25][1560/2505] lr: 5.0000e-04 eta: 22:48:57 time: 0.8741 data_time: 0.0296 memory: 22238 grad_norm: 19.2718 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5276 loss: 1.5276 2022/07/31 19:01:19 - mmengine - INFO - Epoch(train) [25][1580/2505] lr: 5.0000e-04 eta: 22:48:40 time: 1.0878 data_time: 0.0305 memory: 22238 grad_norm: 19.1182 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7802 loss: 1.7802 2022/07/31 19:01:36 - mmengine - INFO - Epoch(train) [25][1600/2505] lr: 5.0000e-04 eta: 22:48:16 time: 0.8346 data_time: 0.0267 memory: 22238 grad_norm: 19.6211 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6325 loss: 1.6325 2022/07/31 19:01:58 - mmengine - INFO - Epoch(train) [25][1620/2505] lr: 5.0000e-04 eta: 22:48:01 time: 1.1225 data_time: 0.0888 memory: 22238 grad_norm: 19.2228 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6489 loss: 1.6489 2022/07/31 19:02:15 - mmengine - INFO - Epoch(train) [25][1640/2505] lr: 5.0000e-04 eta: 22:47:38 time: 0.8654 data_time: 0.1142 memory: 22238 grad_norm: 19.3906 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9065 loss: 1.9065 2022/07/31 19:02:38 - mmengine - INFO - Epoch(train) [25][1660/2505] lr: 5.0000e-04 eta: 22:47:23 time: 1.1539 data_time: 0.2092 memory: 22238 grad_norm: 19.0529 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7175 loss: 1.7175 2022/07/31 19:02:56 - mmengine - INFO - Epoch(train) [25][1680/2505] lr: 5.0000e-04 eta: 22:47:00 time: 0.8734 data_time: 0.2228 memory: 22238 grad_norm: 19.7436 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.6889 loss: 1.6889 2022/07/31 19:03:17 - mmengine - INFO - Epoch(train) [25][1700/2505] lr: 5.0000e-04 eta: 22:46:43 time: 1.0690 data_time: 0.3567 memory: 22238 grad_norm: 19.1020 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7133 loss: 1.7133 2022/07/31 19:03:36 - mmengine - INFO - Epoch(train) [25][1720/2505] lr: 5.0000e-04 eta: 22:46:22 time: 0.9449 data_time: 0.4347 memory: 22238 grad_norm: 20.0442 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.9467 loss: 1.9467 2022/07/31 19:03:58 - mmengine - INFO - Epoch(train) [25][1740/2505] lr: 5.0000e-04 eta: 22:46:05 time: 1.0802 data_time: 0.5265 memory: 22238 grad_norm: 19.6852 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5446 loss: 1.5446 2022/07/31 19:04:16 - mmengine - INFO - Epoch(train) [25][1760/2505] lr: 5.0000e-04 eta: 22:45:43 time: 0.8866 data_time: 0.3820 memory: 22238 grad_norm: 19.3456 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6767 loss: 1.6767 2022/07/31 19:04:37 - mmengine - INFO - Epoch(train) [25][1780/2505] lr: 5.0000e-04 eta: 22:45:25 time: 1.0449 data_time: 0.5192 memory: 22238 grad_norm: 19.7433 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5243 loss: 1.5243 2022/07/31 19:04:55 - mmengine - INFO - Epoch(train) [25][1800/2505] lr: 5.0000e-04 eta: 22:45:04 time: 0.9424 data_time: 0.3278 memory: 22238 grad_norm: 19.3594 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.7054 loss: 1.7054 2022/07/31 19:05:15 - mmengine - INFO - Epoch(train) [25][1820/2505] lr: 5.0000e-04 eta: 22:44:45 time: 0.9840 data_time: 0.3914 memory: 22238 grad_norm: 19.5422 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8305 loss: 1.8305 2022/07/31 19:05:34 - mmengine - INFO - Epoch(train) [25][1840/2505] lr: 5.0000e-04 eta: 22:44:24 time: 0.9330 data_time: 0.4625 memory: 22238 grad_norm: 19.9156 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6198 loss: 1.6198 2022/07/31 19:05:55 - mmengine - INFO - Epoch(train) [25][1860/2505] lr: 5.0000e-04 eta: 22:44:06 time: 1.0433 data_time: 0.4898 memory: 22238 grad_norm: 19.0645 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.5287 loss: 1.5287 2022/07/31 19:06:13 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 19:06:13 - mmengine - INFO - Epoch(train) [25][1880/2505] lr: 5.0000e-04 eta: 22:43:44 time: 0.9249 data_time: 0.3952 memory: 22238 grad_norm: 19.7088 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7358 loss: 1.7358 2022/07/31 19:06:33 - mmengine - INFO - Epoch(train) [25][1900/2505] lr: 5.0000e-04 eta: 22:43:25 time: 1.0083 data_time: 0.3324 memory: 22238 grad_norm: 19.1587 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.3251 loss: 1.3251 2022/07/31 19:06:52 - mmengine - INFO - Epoch(train) [25][1920/2505] lr: 5.0000e-04 eta: 22:43:04 time: 0.9228 data_time: 0.3338 memory: 22238 grad_norm: 18.9605 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8333 loss: 1.8333 2022/07/31 19:07:12 - mmengine - INFO - Epoch(train) [25][1940/2505] lr: 5.0000e-04 eta: 22:42:45 time: 0.9890 data_time: 0.2546 memory: 22238 grad_norm: 19.4825 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4093 loss: 1.4093 2022/07/31 19:07:30 - mmengine - INFO - Epoch(train) [25][1960/2505] lr: 5.0000e-04 eta: 22:42:24 time: 0.9373 data_time: 0.2938 memory: 22238 grad_norm: 18.4580 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6225 loss: 1.6225 2022/07/31 19:07:51 - mmengine - INFO - Epoch(train) [25][1980/2505] lr: 5.0000e-04 eta: 22:42:05 time: 1.0167 data_time: 0.2467 memory: 22238 grad_norm: 18.7046 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5598 loss: 1.5598 2022/07/31 19:08:10 - mmengine - INFO - Epoch(train) [25][2000/2505] lr: 5.0000e-04 eta: 22:41:45 time: 0.9515 data_time: 0.2585 memory: 22238 grad_norm: 19.2699 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5941 loss: 1.5941 2022/07/31 19:08:30 - mmengine - INFO - Epoch(train) [25][2020/2505] lr: 5.0000e-04 eta: 22:41:26 time: 1.0290 data_time: 0.2449 memory: 22238 grad_norm: 19.7914 top1_acc: 0.1667 top5_acc: 0.4167 loss_cls: 1.9076 loss: 1.9076 2022/07/31 19:08:47 - mmengine - INFO - Epoch(train) [25][2040/2505] lr: 5.0000e-04 eta: 22:41:03 time: 0.8607 data_time: 0.1404 memory: 22238 grad_norm: 18.5259 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8078 loss: 1.8078 2022/07/31 19:09:10 - mmengine - INFO - Epoch(train) [25][2060/2505] lr: 5.0000e-04 eta: 22:40:47 time: 1.1093 data_time: 0.1830 memory: 22238 grad_norm: 18.8962 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7722 loss: 1.7722 2022/07/31 19:09:27 - mmengine - INFO - Epoch(train) [25][2080/2505] lr: 5.0000e-04 eta: 22:40:25 time: 0.8753 data_time: 0.1735 memory: 22238 grad_norm: 19.8640 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5548 loss: 1.5548 2022/07/31 19:09:49 - mmengine - INFO - Epoch(train) [25][2100/2505] lr: 5.0000e-04 eta: 22:40:08 time: 1.1011 data_time: 0.2688 memory: 22238 grad_norm: 19.3436 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5443 loss: 1.5443 2022/07/31 19:10:07 - mmengine - INFO - Epoch(train) [25][2120/2505] lr: 5.0000e-04 eta: 22:39:47 time: 0.9145 data_time: 0.2987 memory: 22238 grad_norm: 20.0588 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5838 loss: 1.5838 2022/07/31 19:10:30 - mmengine - INFO - Epoch(train) [25][2140/2505] lr: 5.0000e-04 eta: 22:39:31 time: 1.1261 data_time: 0.4710 memory: 22238 grad_norm: 19.4139 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.6665 loss: 1.6665 2022/07/31 19:10:47 - mmengine - INFO - Epoch(train) [25][2160/2505] lr: 5.0000e-04 eta: 22:39:07 time: 0.8408 data_time: 0.2622 memory: 22238 grad_norm: 19.4780 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6485 loss: 1.6485 2022/07/31 19:11:09 - mmengine - INFO - Epoch(train) [25][2180/2505] lr: 5.0000e-04 eta: 22:38:51 time: 1.0874 data_time: 0.2915 memory: 22238 grad_norm: 19.5137 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7310 loss: 1.7310 2022/07/31 19:11:26 - mmengine - INFO - Epoch(train) [25][2200/2505] lr: 5.0000e-04 eta: 22:38:28 time: 0.8820 data_time: 0.2573 memory: 22238 grad_norm: 18.5691 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7027 loss: 1.7027 2022/07/31 19:11:48 - mmengine - INFO - Epoch(train) [25][2220/2505] lr: 5.0000e-04 eta: 22:38:11 time: 1.0861 data_time: 0.5033 memory: 22238 grad_norm: 19.3015 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.9036 loss: 1.9036 2022/07/31 19:12:05 - mmengine - INFO - Epoch(train) [25][2240/2505] lr: 5.0000e-04 eta: 22:37:48 time: 0.8536 data_time: 0.3603 memory: 22238 grad_norm: 19.0737 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6580 loss: 1.6580 2022/07/31 19:12:26 - mmengine - INFO - Epoch(train) [25][2260/2505] lr: 5.0000e-04 eta: 22:37:31 time: 1.0696 data_time: 0.4760 memory: 22238 grad_norm: 20.2704 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7972 loss: 1.7972 2022/07/31 19:12:43 - mmengine - INFO - Epoch(train) [25][2280/2505] lr: 5.0000e-04 eta: 22:37:08 time: 0.8517 data_time: 0.2982 memory: 22238 grad_norm: 19.7880 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.6578 loss: 1.6578 2022/07/31 19:13:06 - mmengine - INFO - Epoch(train) [25][2300/2505] lr: 5.0000e-04 eta: 22:36:52 time: 1.1114 data_time: 0.3991 memory: 22238 grad_norm: 19.8370 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9511 loss: 1.9511 2022/07/31 19:13:23 - mmengine - INFO - Epoch(train) [25][2320/2505] lr: 5.0000e-04 eta: 22:36:29 time: 0.8818 data_time: 0.3121 memory: 22238 grad_norm: 19.4882 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6429 loss: 1.6429 2022/07/31 19:13:45 - mmengine - INFO - Epoch(train) [25][2340/2505] lr: 5.0000e-04 eta: 22:36:13 time: 1.0993 data_time: 0.5333 memory: 22238 grad_norm: 19.7136 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8062 loss: 1.8062 2022/07/31 19:14:03 - mmengine - INFO - Epoch(train) [25][2360/2505] lr: 5.0000e-04 eta: 22:35:50 time: 0.8644 data_time: 0.2822 memory: 22238 grad_norm: 19.9489 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7080 loss: 1.7080 2022/07/31 19:14:25 - mmengine - INFO - Epoch(train) [25][2380/2505] lr: 5.0000e-04 eta: 22:35:34 time: 1.1026 data_time: 0.4706 memory: 22238 grad_norm: 19.2890 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6450 loss: 1.6450 2022/07/31 19:14:41 - mmengine - INFO - Epoch(train) [25][2400/2505] lr: 5.0000e-04 eta: 22:35:10 time: 0.8293 data_time: 0.2900 memory: 22238 grad_norm: 19.6702 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7911 loss: 1.7911 2022/07/31 19:15:02 - mmengine - INFO - Epoch(train) [25][2420/2505] lr: 5.0000e-04 eta: 22:34:52 time: 1.0412 data_time: 0.0852 memory: 22238 grad_norm: 18.5910 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5889 loss: 1.5889 2022/07/31 19:15:20 - mmengine - INFO - Epoch(train) [25][2440/2505] lr: 5.0000e-04 eta: 22:34:30 time: 0.8925 data_time: 0.0329 memory: 22238 grad_norm: 18.5021 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.4949 loss: 1.4949 2022/07/31 19:15:42 - mmengine - INFO - Epoch(train) [25][2460/2505] lr: 5.0000e-04 eta: 22:34:13 time: 1.0991 data_time: 0.0285 memory: 22238 grad_norm: 21.2049 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5518 loss: 1.5518 2022/07/31 19:15:59 - mmengine - INFO - Epoch(train) [25][2480/2505] lr: 5.0000e-04 eta: 22:33:50 time: 0.8669 data_time: 0.0335 memory: 22238 grad_norm: 19.3773 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6656 loss: 1.6656 2022/07/31 19:16:17 - mmengine - INFO - Epoch(train) [25][2500/2505] lr: 5.0000e-04 eta: 22:33:28 time: 0.8902 data_time: 0.0331 memory: 22238 grad_norm: 20.1404 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3769 loss: 1.3769 2022/07/31 19:16:19 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 19:16:19 - mmengine - INFO - Epoch(train) [25][2505/2505] lr: 5.0000e-04 eta: 22:33:28 time: 0.6840 data_time: 0.0196 memory: 22238 grad_norm: 20.0501 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.6321 loss: 1.6321 2022/07/31 19:16:44 - mmengine - INFO - Epoch(train) [26][20/2505] lr: 5.0000e-04 eta: 22:33:05 time: 1.2658 data_time: 0.8407 memory: 22238 grad_norm: 20.1541 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4749 loss: 1.4749 2022/07/31 19:17:02 - mmengine - INFO - Epoch(train) [26][40/2505] lr: 5.0000e-04 eta: 22:32:43 time: 0.8931 data_time: 0.4569 memory: 22238 grad_norm: 19.6558 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7123 loss: 1.7123 2022/07/31 19:17:24 - mmengine - INFO - Epoch(train) [26][60/2505] lr: 5.0000e-04 eta: 22:32:26 time: 1.0965 data_time: 0.6843 memory: 22238 grad_norm: 19.2503 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8022 loss: 1.8022 2022/07/31 19:17:42 - mmengine - INFO - Epoch(train) [26][80/2505] lr: 5.0000e-04 eta: 22:32:04 time: 0.8804 data_time: 0.3927 memory: 22238 grad_norm: 18.6175 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5149 loss: 1.5149 2022/07/31 19:18:04 - mmengine - INFO - Epoch(train) [26][100/2505] lr: 5.0000e-04 eta: 22:31:48 time: 1.1098 data_time: 0.5432 memory: 22238 grad_norm: 19.1893 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6445 loss: 1.6445 2022/07/31 19:18:22 - mmengine - INFO - Epoch(train) [26][120/2505] lr: 5.0000e-04 eta: 22:31:26 time: 0.8966 data_time: 0.3224 memory: 22238 grad_norm: 19.7725 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6227 loss: 1.6227 2022/07/31 19:18:44 - mmengine - INFO - Epoch(train) [26][140/2505] lr: 5.0000e-04 eta: 22:31:09 time: 1.0987 data_time: 0.3731 memory: 22238 grad_norm: 19.8649 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5500 loss: 1.5500 2022/07/31 19:19:01 - mmengine - INFO - Epoch(train) [26][160/2505] lr: 5.0000e-04 eta: 22:30:46 time: 0.8632 data_time: 0.3167 memory: 22238 grad_norm: 20.3308 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6030 loss: 1.6030 2022/07/31 19:19:24 - mmengine - INFO - Epoch(train) [26][180/2505] lr: 5.0000e-04 eta: 22:30:31 time: 1.1308 data_time: 0.4981 memory: 22238 grad_norm: 19.2381 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.7458 loss: 1.7458 2022/07/31 19:19:42 - mmengine - INFO - Epoch(train) [26][200/2505] lr: 5.0000e-04 eta: 22:30:08 time: 0.8842 data_time: 0.2827 memory: 22238 grad_norm: 19.4004 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5556 loss: 1.5556 2022/07/31 19:20:04 - mmengine - INFO - Epoch(train) [26][220/2505] lr: 5.0000e-04 eta: 22:29:52 time: 1.0980 data_time: 0.4453 memory: 22238 grad_norm: 18.9412 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6440 loss: 1.6440 2022/07/31 19:20:21 - mmengine - INFO - Epoch(train) [26][240/2505] lr: 5.0000e-04 eta: 22:29:29 time: 0.8717 data_time: 0.2609 memory: 22238 grad_norm: 19.6310 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4686 loss: 1.4686 2022/07/31 19:20:42 - mmengine - INFO - Epoch(train) [26][260/2505] lr: 5.0000e-04 eta: 22:29:12 time: 1.0712 data_time: 0.4027 memory: 22238 grad_norm: 19.0601 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5584 loss: 1.5584 2022/07/31 19:21:00 - mmengine - INFO - Epoch(train) [26][280/2505] lr: 5.0000e-04 eta: 22:28:49 time: 0.8685 data_time: 0.3406 memory: 22238 grad_norm: 19.1358 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3131 loss: 1.3131 2022/07/31 19:21:22 - mmengine - INFO - Epoch(train) [26][300/2505] lr: 5.0000e-04 eta: 22:28:33 time: 1.1079 data_time: 0.4331 memory: 22238 grad_norm: 18.9613 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5465 loss: 1.5465 2022/07/31 19:21:40 - mmengine - INFO - Epoch(train) [26][320/2505] lr: 5.0000e-04 eta: 22:28:11 time: 0.8807 data_time: 0.2210 memory: 22238 grad_norm: 19.0645 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5975 loss: 1.5975 2022/07/31 19:22:02 - mmengine - INFO - Epoch(train) [26][340/2505] lr: 5.0000e-04 eta: 22:27:54 time: 1.1170 data_time: 0.2823 memory: 22238 grad_norm: 19.2991 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6337 loss: 1.6337 2022/07/31 19:22:20 - mmengine - INFO - Epoch(train) [26][360/2505] lr: 5.0000e-04 eta: 22:27:32 time: 0.8948 data_time: 0.1493 memory: 22238 grad_norm: 19.1622 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6602 loss: 1.6602 2022/07/31 19:22:35 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 19:22:42 - mmengine - INFO - Epoch(train) [26][380/2505] lr: 5.0000e-04 eta: 22:27:16 time: 1.0945 data_time: 0.2246 memory: 22238 grad_norm: 18.9108 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5572 loss: 1.5572 2022/07/31 19:22:59 - mmengine - INFO - Epoch(train) [26][400/2505] lr: 5.0000e-04 eta: 22:26:53 time: 0.8446 data_time: 0.2043 memory: 22238 grad_norm: 19.8502 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5563 loss: 1.5563 2022/07/31 19:23:20 - mmengine - INFO - Epoch(train) [26][420/2505] lr: 5.0000e-04 eta: 22:26:36 time: 1.0933 data_time: 0.3399 memory: 22238 grad_norm: 19.6784 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5431 loss: 1.5431 2022/07/31 19:23:38 - mmengine - INFO - Epoch(train) [26][440/2505] lr: 5.0000e-04 eta: 22:26:13 time: 0.8594 data_time: 0.1652 memory: 22238 grad_norm: 18.9449 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.4750 loss: 1.4750 2022/07/31 19:23:59 - mmengine - INFO - Epoch(train) [26][460/2505] lr: 5.0000e-04 eta: 22:25:56 time: 1.0753 data_time: 0.3118 memory: 22238 grad_norm: 18.9466 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6329 loss: 1.6329 2022/07/31 19:24:17 - mmengine - INFO - Epoch(train) [26][480/2505] lr: 5.0000e-04 eta: 22:25:33 time: 0.8769 data_time: 0.2623 memory: 22238 grad_norm: 19.3796 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5389 loss: 1.5389 2022/07/31 19:24:39 - mmengine - INFO - Epoch(train) [26][500/2505] lr: 5.0000e-04 eta: 22:25:17 time: 1.1074 data_time: 0.3078 memory: 22238 grad_norm: 20.1217 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5813 loss: 1.5813 2022/07/31 19:24:56 - mmengine - INFO - Epoch(train) [26][520/2505] lr: 5.0000e-04 eta: 22:24:54 time: 0.8618 data_time: 0.1972 memory: 22238 grad_norm: 19.2842 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6701 loss: 1.6701 2022/07/31 19:25:19 - mmengine - INFO - Epoch(train) [26][540/2505] lr: 5.0000e-04 eta: 22:24:39 time: 1.1377 data_time: 0.1820 memory: 22238 grad_norm: 19.4505 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7492 loss: 1.7492 2022/07/31 19:25:36 - mmengine - INFO - Epoch(train) [26][560/2505] lr: 5.0000e-04 eta: 22:24:16 time: 0.8680 data_time: 0.0792 memory: 22238 grad_norm: 19.8668 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4478 loss: 1.4478 2022/07/31 19:25:58 - mmengine - INFO - Epoch(train) [26][580/2505] lr: 5.0000e-04 eta: 22:23:59 time: 1.0970 data_time: 0.2342 memory: 22238 grad_norm: 18.9168 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5571 loss: 1.5571 2022/07/31 19:26:16 - mmengine - INFO - Epoch(train) [26][600/2505] lr: 5.0000e-04 eta: 22:23:37 time: 0.8822 data_time: 0.1510 memory: 22238 grad_norm: 20.2274 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4071 loss: 1.4071 2022/07/31 19:26:38 - mmengine - INFO - Epoch(train) [26][620/2505] lr: 5.0000e-04 eta: 22:23:20 time: 1.0967 data_time: 0.0981 memory: 22238 grad_norm: 19.1973 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6395 loss: 1.6395 2022/07/31 19:26:55 - mmengine - INFO - Epoch(train) [26][640/2505] lr: 5.0000e-04 eta: 22:22:58 time: 0.8820 data_time: 0.0364 memory: 22238 grad_norm: 19.7000 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5883 loss: 1.5883 2022/07/31 19:27:18 - mmengine - INFO - Epoch(train) [26][660/2505] lr: 5.0000e-04 eta: 22:22:42 time: 1.1097 data_time: 0.0504 memory: 22238 grad_norm: 19.4551 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5621 loss: 1.5621 2022/07/31 19:27:35 - mmengine - INFO - Epoch(train) [26][680/2505] lr: 5.0000e-04 eta: 22:22:19 time: 0.8741 data_time: 0.0351 memory: 22238 grad_norm: 19.7969 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7754 loss: 1.7754 2022/07/31 19:27:57 - mmengine - INFO - Epoch(train) [26][700/2505] lr: 5.0000e-04 eta: 22:22:02 time: 1.0929 data_time: 0.0296 memory: 22238 grad_norm: 19.3227 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7477 loss: 1.7477 2022/07/31 19:28:14 - mmengine - INFO - Epoch(train) [26][720/2505] lr: 5.0000e-04 eta: 22:21:39 time: 0.8537 data_time: 0.0302 memory: 22238 grad_norm: 19.4712 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5505 loss: 1.5505 2022/07/31 19:28:36 - mmengine - INFO - Epoch(train) [26][740/2505] lr: 5.0000e-04 eta: 22:21:23 time: 1.0866 data_time: 0.0284 memory: 22238 grad_norm: 19.1075 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7657 loss: 1.7657 2022/07/31 19:28:53 - mmengine - INFO - Epoch(train) [26][760/2505] lr: 5.0000e-04 eta: 22:21:00 time: 0.8759 data_time: 0.0290 memory: 22238 grad_norm: 19.6299 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4662 loss: 1.4662 2022/07/31 19:29:15 - mmengine - INFO - Epoch(train) [26][780/2505] lr: 5.0000e-04 eta: 22:20:44 time: 1.1078 data_time: 0.0284 memory: 22238 grad_norm: 18.7372 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6632 loss: 1.6632 2022/07/31 19:29:32 - mmengine - INFO - Epoch(train) [26][800/2505] lr: 5.0000e-04 eta: 22:20:20 time: 0.8353 data_time: 0.0279 memory: 22238 grad_norm: 19.5306 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5482 loss: 1.5482 2022/07/31 19:29:54 - mmengine - INFO - Epoch(train) [26][820/2505] lr: 5.0000e-04 eta: 22:20:04 time: 1.1128 data_time: 0.0295 memory: 22238 grad_norm: 19.9054 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7179 loss: 1.7179 2022/07/31 19:30:12 - mmengine - INFO - Epoch(train) [26][840/2505] lr: 5.0000e-04 eta: 22:19:42 time: 0.8992 data_time: 0.0290 memory: 22238 grad_norm: 19.9110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8996 loss: 1.8996 2022/07/31 19:30:35 - mmengine - INFO - Epoch(train) [26][860/2505] lr: 5.0000e-04 eta: 22:19:26 time: 1.1043 data_time: 0.0332 memory: 22238 grad_norm: 19.1173 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6383 loss: 1.6383 2022/07/31 19:30:51 - mmengine - INFO - Epoch(train) [26][880/2505] lr: 5.0000e-04 eta: 22:19:02 time: 0.8144 data_time: 0.0295 memory: 22238 grad_norm: 19.8249 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5078 loss: 1.5078 2022/07/31 19:31:14 - mmengine - INFO - Epoch(train) [26][900/2505] lr: 5.0000e-04 eta: 22:18:47 time: 1.1639 data_time: 0.0292 memory: 22238 grad_norm: 19.2795 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7395 loss: 1.7395 2022/07/31 19:31:30 - mmengine - INFO - Epoch(train) [26][920/2505] lr: 5.0000e-04 eta: 22:18:23 time: 0.8095 data_time: 0.0284 memory: 22238 grad_norm: 19.3599 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6911 loss: 1.6911 2022/07/31 19:31:53 - mmengine - INFO - Epoch(train) [26][940/2505] lr: 5.0000e-04 eta: 22:18:06 time: 1.1136 data_time: 0.0289 memory: 22238 grad_norm: 19.0183 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7246 loss: 1.7246 2022/07/31 19:32:09 - mmengine - INFO - Epoch(train) [26][960/2505] lr: 5.0000e-04 eta: 22:17:43 time: 0.8316 data_time: 0.0300 memory: 22238 grad_norm: 19.5003 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6959 loss: 1.6959 2022/07/31 19:32:31 - mmengine - INFO - Epoch(train) [26][980/2505] lr: 5.0000e-04 eta: 22:17:26 time: 1.0787 data_time: 0.0287 memory: 22238 grad_norm: 19.4366 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7891 loss: 1.7891 2022/07/31 19:32:48 - mmengine - INFO - Epoch(train) [26][1000/2505] lr: 5.0000e-04 eta: 22:17:02 time: 0.8374 data_time: 0.0282 memory: 22238 grad_norm: 19.4120 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5085 loss: 1.5085 2022/07/31 19:33:09 - mmengine - INFO - Epoch(train) [26][1020/2505] lr: 5.0000e-04 eta: 22:16:45 time: 1.0852 data_time: 0.0275 memory: 22238 grad_norm: 19.5827 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4900 loss: 1.4900 2022/07/31 19:33:27 - mmengine - INFO - Epoch(train) [26][1040/2505] lr: 5.0000e-04 eta: 22:16:23 time: 0.8910 data_time: 0.0331 memory: 22238 grad_norm: 19.7913 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7594 loss: 1.7594 2022/07/31 19:33:48 - mmengine - INFO - Epoch(train) [26][1060/2505] lr: 5.0000e-04 eta: 22:16:06 time: 1.0622 data_time: 0.0291 memory: 22238 grad_norm: 18.7985 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5808 loss: 1.5808 2022/07/31 19:34:06 - mmengine - INFO - Epoch(train) [26][1080/2505] lr: 5.0000e-04 eta: 22:15:43 time: 0.8738 data_time: 0.0320 memory: 22238 grad_norm: 19.0648 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9495 loss: 1.9495 2022/07/31 19:34:27 - mmengine - INFO - Epoch(train) [26][1100/2505] lr: 5.0000e-04 eta: 22:15:26 time: 1.0589 data_time: 0.1011 memory: 22238 grad_norm: 19.0912 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5086 loss: 1.5086 2022/07/31 19:34:44 - mmengine - INFO - Epoch(train) [26][1120/2505] lr: 5.0000e-04 eta: 22:15:02 time: 0.8373 data_time: 0.1435 memory: 22238 grad_norm: 19.4402 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7231 loss: 1.7231 2022/07/31 19:35:07 - mmengine - INFO - Epoch(train) [26][1140/2505] lr: 5.0000e-04 eta: 22:14:47 time: 1.1432 data_time: 0.1629 memory: 22238 grad_norm: 19.4888 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6031 loss: 1.6031 2022/07/31 19:35:24 - mmengine - INFO - Epoch(train) [26][1160/2505] lr: 5.0000e-04 eta: 22:14:24 time: 0.8755 data_time: 0.0597 memory: 22238 grad_norm: 19.2354 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.5407 loss: 1.5407 2022/07/31 19:35:47 - mmengine - INFO - Epoch(train) [26][1180/2505] lr: 5.0000e-04 eta: 22:14:08 time: 1.1206 data_time: 0.0443 memory: 22238 grad_norm: 19.5591 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4035 loss: 1.4035 2022/07/31 19:36:04 - mmengine - INFO - Epoch(train) [26][1200/2505] lr: 5.0000e-04 eta: 22:13:45 time: 0.8517 data_time: 0.0301 memory: 22238 grad_norm: 18.9778 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7681 loss: 1.7681 2022/07/31 19:36:26 - mmengine - INFO - Epoch(train) [26][1220/2505] lr: 5.0000e-04 eta: 22:13:29 time: 1.1155 data_time: 0.0343 memory: 22238 grad_norm: 19.2421 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4947 loss: 1.4947 2022/07/31 19:36:43 - mmengine - INFO - Epoch(train) [26][1240/2505] lr: 5.0000e-04 eta: 22:13:06 time: 0.8609 data_time: 0.0284 memory: 22238 grad_norm: 19.0065 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.9045 loss: 1.9045 2022/07/31 19:37:05 - mmengine - INFO - Epoch(train) [26][1260/2505] lr: 5.0000e-04 eta: 22:12:50 time: 1.1055 data_time: 0.0345 memory: 22238 grad_norm: 19.3877 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5323 loss: 1.5323 2022/07/31 19:37:23 - mmengine - INFO - Epoch(train) [26][1280/2505] lr: 5.0000e-04 eta: 22:12:28 time: 0.8813 data_time: 0.0294 memory: 22238 grad_norm: 19.4706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4143 loss: 1.4143 2022/07/31 19:37:45 - mmengine - INFO - Epoch(train) [26][1300/2505] lr: 5.0000e-04 eta: 22:12:11 time: 1.0909 data_time: 0.0350 memory: 22238 grad_norm: 19.6457 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5540 loss: 1.5540 2022/07/31 19:38:02 - mmengine - INFO - Epoch(train) [26][1320/2505] lr: 5.0000e-04 eta: 22:11:49 time: 0.8867 data_time: 0.0282 memory: 22238 grad_norm: 18.7771 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6868 loss: 1.6868 2022/07/31 19:38:24 - mmengine - INFO - Epoch(train) [26][1340/2505] lr: 5.0000e-04 eta: 22:11:31 time: 1.0778 data_time: 0.0341 memory: 22238 grad_norm: 19.5721 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.4843 loss: 1.4843 2022/07/31 19:38:41 - mmengine - INFO - Epoch(train) [26][1360/2505] lr: 5.0000e-04 eta: 22:11:09 time: 0.8681 data_time: 0.0312 memory: 22238 grad_norm: 19.9571 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7093 loss: 1.7093 2022/07/31 19:38:56 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 19:39:03 - mmengine - INFO - Epoch(train) [26][1380/2505] lr: 5.0000e-04 eta: 22:10:52 time: 1.0803 data_time: 0.0289 memory: 22238 grad_norm: 19.2262 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3611 loss: 1.3611 2022/07/31 19:39:21 - mmengine - INFO - Epoch(train) [26][1400/2505] lr: 5.0000e-04 eta: 22:10:30 time: 0.9205 data_time: 0.0282 memory: 22238 grad_norm: 19.0102 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8014 loss: 1.8014 2022/07/31 19:39:44 - mmengine - INFO - Epoch(train) [26][1420/2505] lr: 5.0000e-04 eta: 22:10:14 time: 1.1204 data_time: 0.0311 memory: 22238 grad_norm: 19.8500 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6537 loss: 1.6537 2022/07/31 19:40:00 - mmengine - INFO - Epoch(train) [26][1440/2505] lr: 5.0000e-04 eta: 22:09:50 time: 0.8128 data_time: 0.0342 memory: 22238 grad_norm: 19.4920 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7204 loss: 1.7204 2022/07/31 19:40:24 - mmengine - INFO - Epoch(train) [26][1460/2505] lr: 5.0000e-04 eta: 22:09:36 time: 1.1936 data_time: 0.0302 memory: 22238 grad_norm: 18.8957 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5807 loss: 1.5807 2022/07/31 19:40:41 - mmengine - INFO - Epoch(train) [26][1480/2505] lr: 5.0000e-04 eta: 22:09:13 time: 0.8499 data_time: 0.0338 memory: 22238 grad_norm: 19.9824 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6540 loss: 1.6540 2022/07/31 19:41:03 - mmengine - INFO - Epoch(train) [26][1500/2505] lr: 5.0000e-04 eta: 22:08:56 time: 1.1059 data_time: 0.0372 memory: 22238 grad_norm: 20.3626 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4725 loss: 1.4725 2022/07/31 19:41:20 - mmengine - INFO - Epoch(train) [26][1520/2505] lr: 5.0000e-04 eta: 22:08:34 time: 0.8551 data_time: 0.0288 memory: 22238 grad_norm: 19.2292 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5718 loss: 1.5718 2022/07/31 19:41:42 - mmengine - INFO - Epoch(train) [26][1540/2505] lr: 5.0000e-04 eta: 22:08:17 time: 1.0898 data_time: 0.0322 memory: 22238 grad_norm: 19.4399 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6984 loss: 1.6984 2022/07/31 19:41:59 - mmengine - INFO - Epoch(train) [26][1560/2505] lr: 5.0000e-04 eta: 22:07:54 time: 0.8456 data_time: 0.0286 memory: 22238 grad_norm: 19.1885 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6546 loss: 1.6546 2022/07/31 19:42:20 - mmengine - INFO - Epoch(train) [26][1580/2505] lr: 5.0000e-04 eta: 22:07:36 time: 1.0682 data_time: 0.0272 memory: 22238 grad_norm: 19.0676 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8064 loss: 1.8064 2022/07/31 19:42:37 - mmengine - INFO - Epoch(train) [26][1600/2505] lr: 5.0000e-04 eta: 22:07:13 time: 0.8577 data_time: 0.0288 memory: 22238 grad_norm: 19.3619 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6459 loss: 1.6459 2022/07/31 19:42:59 - mmengine - INFO - Epoch(train) [26][1620/2505] lr: 5.0000e-04 eta: 22:06:57 time: 1.0957 data_time: 0.0297 memory: 22238 grad_norm: 19.8287 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6789 loss: 1.6789 2022/07/31 19:43:17 - mmengine - INFO - Epoch(train) [26][1640/2505] lr: 5.0000e-04 eta: 22:06:34 time: 0.8676 data_time: 0.0302 memory: 22238 grad_norm: 19.6800 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6157 loss: 1.6157 2022/07/31 19:43:38 - mmengine - INFO - Epoch(train) [26][1660/2505] lr: 5.0000e-04 eta: 22:06:16 time: 1.0657 data_time: 0.0284 memory: 22238 grad_norm: 19.5093 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8459 loss: 1.8459 2022/07/31 19:43:56 - mmengine - INFO - Epoch(train) [26][1680/2505] lr: 5.0000e-04 eta: 22:05:55 time: 0.8979 data_time: 0.0306 memory: 22238 grad_norm: 19.5008 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6486 loss: 1.6486 2022/07/31 19:44:18 - mmengine - INFO - Epoch(train) [26][1700/2505] lr: 5.0000e-04 eta: 22:05:38 time: 1.0953 data_time: 0.0305 memory: 22238 grad_norm: 19.3527 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5097 loss: 1.5097 2022/07/31 19:44:36 - mmengine - INFO - Epoch(train) [26][1720/2505] lr: 5.0000e-04 eta: 22:05:16 time: 0.9012 data_time: 0.0271 memory: 22238 grad_norm: 19.5053 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7293 loss: 1.7293 2022/07/31 19:44:58 - mmengine - INFO - Epoch(train) [26][1740/2505] lr: 5.0000e-04 eta: 22:04:59 time: 1.0812 data_time: 0.0283 memory: 22238 grad_norm: 18.0853 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7536 loss: 1.7536 2022/07/31 19:45:16 - mmengine - INFO - Epoch(train) [26][1760/2505] lr: 5.0000e-04 eta: 22:04:38 time: 0.9106 data_time: 0.0283 memory: 22238 grad_norm: 19.2785 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.4172 loss: 1.4172 2022/07/31 19:45:38 - mmengine - INFO - Epoch(train) [26][1780/2505] lr: 5.0000e-04 eta: 22:04:21 time: 1.1170 data_time: 0.0294 memory: 22238 grad_norm: 18.9890 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5817 loss: 1.5817 2022/07/31 19:45:55 - mmengine - INFO - Epoch(train) [26][1800/2505] lr: 5.0000e-04 eta: 22:03:58 time: 0.8412 data_time: 0.0291 memory: 22238 grad_norm: 19.6847 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6227 loss: 1.6227 2022/07/31 19:46:17 - mmengine - INFO - Epoch(train) [26][1820/2505] lr: 5.0000e-04 eta: 22:03:41 time: 1.1003 data_time: 0.0293 memory: 22238 grad_norm: 18.8430 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7294 loss: 1.7294 2022/07/31 19:46:34 - mmengine - INFO - Epoch(train) [26][1840/2505] lr: 5.0000e-04 eta: 22:03:18 time: 0.8286 data_time: 0.0292 memory: 22238 grad_norm: 19.0368 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6170 loss: 1.6170 2022/07/31 19:46:55 - mmengine - INFO - Epoch(train) [26][1860/2505] lr: 5.0000e-04 eta: 22:03:01 time: 1.0750 data_time: 0.0282 memory: 22238 grad_norm: 20.2474 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5024 loss: 1.5024 2022/07/31 19:47:12 - mmengine - INFO - Epoch(train) [26][1880/2505] lr: 5.0000e-04 eta: 22:02:38 time: 0.8533 data_time: 0.0283 memory: 22238 grad_norm: 19.9739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4311 loss: 1.4311 2022/07/31 19:47:34 - mmengine - INFO - Epoch(train) [26][1900/2505] lr: 5.0000e-04 eta: 22:02:21 time: 1.0974 data_time: 0.0283 memory: 22238 grad_norm: 19.4857 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6809 loss: 1.6809 2022/07/31 19:47:51 - mmengine - INFO - Epoch(train) [26][1920/2505] lr: 5.0000e-04 eta: 22:01:58 time: 0.8342 data_time: 0.0307 memory: 22238 grad_norm: 20.0891 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5946 loss: 1.5946 2022/07/31 19:48:12 - mmengine - INFO - Epoch(train) [26][1940/2505] lr: 5.0000e-04 eta: 22:01:40 time: 1.0685 data_time: 0.0284 memory: 22238 grad_norm: 19.9271 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6805 loss: 1.6805 2022/07/31 19:48:29 - mmengine - INFO - Epoch(train) [26][1960/2505] lr: 5.0000e-04 eta: 22:01:18 time: 0.8676 data_time: 0.0299 memory: 22238 grad_norm: 18.9849 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8761 loss: 1.8761 2022/07/31 19:48:52 - mmengine - INFO - Epoch(train) [26][1980/2505] lr: 5.0000e-04 eta: 22:01:01 time: 1.1024 data_time: 0.0278 memory: 22238 grad_norm: 19.0224 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4637 loss: 1.4637 2022/07/31 19:49:09 - mmengine - INFO - Epoch(train) [26][2000/2505] lr: 5.0000e-04 eta: 22:00:39 time: 0.8792 data_time: 0.0294 memory: 22238 grad_norm: 19.7624 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7107 loss: 1.7107 2022/07/31 19:49:31 - mmengine - INFO - Epoch(train) [26][2020/2505] lr: 5.0000e-04 eta: 22:00:22 time: 1.0995 data_time: 0.0302 memory: 22238 grad_norm: 19.1381 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7159 loss: 1.7159 2022/07/31 19:49:49 - mmengine - INFO - Epoch(train) [26][2040/2505] lr: 5.0000e-04 eta: 22:00:00 time: 0.9038 data_time: 0.0327 memory: 22238 grad_norm: 20.0712 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6889 loss: 1.6889 2022/07/31 19:50:12 - mmengine - INFO - Epoch(train) [26][2060/2505] lr: 5.0000e-04 eta: 21:59:44 time: 1.1189 data_time: 0.0292 memory: 22238 grad_norm: 20.4824 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5833 loss: 1.5833 2022/07/31 19:50:29 - mmengine - INFO - Epoch(train) [26][2080/2505] lr: 5.0000e-04 eta: 21:59:21 time: 0.8618 data_time: 0.0300 memory: 22238 grad_norm: 18.7370 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5775 loss: 1.5775 2022/07/31 19:50:51 - mmengine - INFO - Epoch(train) [26][2100/2505] lr: 5.0000e-04 eta: 21:59:05 time: 1.0909 data_time: 0.0296 memory: 22238 grad_norm: 19.3757 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7728 loss: 1.7728 2022/07/31 19:51:08 - mmengine - INFO - Epoch(train) [26][2120/2505] lr: 5.0000e-04 eta: 21:58:42 time: 0.8537 data_time: 0.0337 memory: 22238 grad_norm: 20.0468 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6824 loss: 1.6824 2022/07/31 19:51:29 - mmengine - INFO - Epoch(train) [26][2140/2505] lr: 5.0000e-04 eta: 21:58:25 time: 1.0836 data_time: 0.0305 memory: 22238 grad_norm: 19.4856 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.7762 loss: 1.7762 2022/07/31 19:51:47 - mmengine - INFO - Epoch(train) [26][2160/2505] lr: 5.0000e-04 eta: 21:58:03 time: 0.8967 data_time: 0.0307 memory: 22238 grad_norm: 18.6851 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5346 loss: 1.5346 2022/07/31 19:52:08 - mmengine - INFO - Epoch(train) [26][2180/2505] lr: 5.0000e-04 eta: 21:57:44 time: 1.0261 data_time: 0.0327 memory: 22238 grad_norm: 19.2208 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6111 loss: 1.6111 2022/07/31 19:52:26 - mmengine - INFO - Epoch(train) [26][2200/2505] lr: 5.0000e-04 eta: 21:57:22 time: 0.8894 data_time: 0.0278 memory: 22238 grad_norm: 20.1557 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6078 loss: 1.6078 2022/07/31 19:52:47 - mmengine - INFO - Epoch(train) [26][2220/2505] lr: 5.0000e-04 eta: 21:57:05 time: 1.0685 data_time: 0.0347 memory: 22238 grad_norm: 19.2535 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8961 loss: 1.8961 2022/07/31 19:53:04 - mmengine - INFO - Epoch(train) [26][2240/2505] lr: 5.0000e-04 eta: 21:56:42 time: 0.8551 data_time: 0.0283 memory: 22238 grad_norm: 19.7760 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5247 loss: 1.5247 2022/07/31 19:53:26 - mmengine - INFO - Epoch(train) [26][2260/2505] lr: 5.0000e-04 eta: 21:56:25 time: 1.0954 data_time: 0.0349 memory: 22238 grad_norm: 20.3187 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8063 loss: 1.8063 2022/07/31 19:53:44 - mmengine - INFO - Epoch(train) [26][2280/2505] lr: 5.0000e-04 eta: 21:56:03 time: 0.8856 data_time: 0.0275 memory: 22238 grad_norm: 19.6468 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3731 loss: 1.3731 2022/07/31 19:54:07 - mmengine - INFO - Epoch(train) [26][2300/2505] lr: 5.0000e-04 eta: 21:55:47 time: 1.1383 data_time: 0.0364 memory: 22238 grad_norm: 19.3182 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6905 loss: 1.6905 2022/07/31 19:54:24 - mmengine - INFO - Epoch(train) [26][2320/2505] lr: 5.0000e-04 eta: 21:55:25 time: 0.8818 data_time: 0.0288 memory: 22238 grad_norm: 18.9780 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4686 loss: 1.4686 2022/07/31 19:54:46 - mmengine - INFO - Epoch(train) [26][2340/2505] lr: 5.0000e-04 eta: 21:55:08 time: 1.0753 data_time: 0.0332 memory: 22238 grad_norm: 19.6609 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5881 loss: 1.5881 2022/07/31 19:55:03 - mmengine - INFO - Epoch(train) [26][2360/2505] lr: 5.0000e-04 eta: 21:54:45 time: 0.8625 data_time: 0.0288 memory: 22238 grad_norm: 20.0126 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4910 loss: 1.4910 2022/07/31 19:55:19 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 19:55:26 - mmengine - INFO - Epoch(train) [26][2380/2505] lr: 5.0000e-04 eta: 21:54:29 time: 1.1386 data_time: 0.0350 memory: 22238 grad_norm: 18.2478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7215 loss: 1.7215 2022/07/31 19:55:44 - mmengine - INFO - Epoch(train) [26][2400/2505] lr: 5.0000e-04 eta: 21:54:07 time: 0.8881 data_time: 0.0296 memory: 22238 grad_norm: 18.3385 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5917 loss: 1.5917 2022/07/31 19:56:05 - mmengine - INFO - Epoch(train) [26][2420/2505] lr: 5.0000e-04 eta: 21:53:51 time: 1.0972 data_time: 0.0375 memory: 22238 grad_norm: 18.6583 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6109 loss: 1.6109 2022/07/31 19:56:22 - mmengine - INFO - Epoch(train) [26][2440/2505] lr: 5.0000e-04 eta: 21:53:28 time: 0.8463 data_time: 0.0336 memory: 22238 grad_norm: 19.3659 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1225 loss: 2.1225 2022/07/31 19:56:44 - mmengine - INFO - Epoch(train) [26][2460/2505] lr: 5.0000e-04 eta: 21:53:11 time: 1.1054 data_time: 0.0286 memory: 22238 grad_norm: 19.0224 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7241 loss: 1.7241 2022/07/31 19:57:02 - mmengine - INFO - Epoch(train) [26][2480/2505] lr: 5.0000e-04 eta: 21:52:49 time: 0.8746 data_time: 0.0266 memory: 22238 grad_norm: 19.3724 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9772 loss: 1.9772 2022/07/31 19:57:20 - mmengine - INFO - Epoch(train) [26][2500/2505] lr: 5.0000e-04 eta: 21:52:27 time: 0.8854 data_time: 0.0301 memory: 22238 grad_norm: 19.5031 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6757 loss: 1.6757 2022/07/31 19:57:22 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 19:57:22 - mmengine - INFO - Epoch(train) [26][2505/2505] lr: 5.0000e-04 eta: 21:52:27 time: 0.6374 data_time: 0.0206 memory: 22238 grad_norm: 19.9469 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7645 loss: 1.7645 2022/07/31 19:57:22 - mmengine - INFO - Saving checkpoint at 26 epochs 2022/07/31 19:57:50 - mmengine - INFO - Epoch(train) [27][20/2505] lr: 5.0000e-04 eta: 21:52:03 time: 1.2844 data_time: 0.8672 memory: 22238 grad_norm: 20.3457 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6637 loss: 1.6637 2022/07/31 19:58:08 - mmengine - INFO - Epoch(train) [27][40/2505] lr: 5.0000e-04 eta: 21:51:42 time: 0.8974 data_time: 0.4946 memory: 22238 grad_norm: 19.0004 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5059 loss: 1.5059 2022/07/31 19:58:30 - mmengine - INFO - Epoch(train) [27][60/2505] lr: 5.0000e-04 eta: 21:51:25 time: 1.0884 data_time: 0.6731 memory: 22238 grad_norm: 20.1046 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6569 loss: 1.6569 2022/07/31 19:58:48 - mmengine - INFO - Epoch(train) [27][80/2505] lr: 5.0000e-04 eta: 21:51:03 time: 0.8859 data_time: 0.4931 memory: 22238 grad_norm: 19.4032 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4859 loss: 1.4859 2022/07/31 19:59:10 - mmengine - INFO - Epoch(train) [27][100/2505] lr: 5.0000e-04 eta: 21:50:46 time: 1.0943 data_time: 0.6912 memory: 22238 grad_norm: 19.5115 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3916 loss: 1.3916 2022/07/31 19:59:27 - mmengine - INFO - Epoch(train) [27][120/2505] lr: 5.0000e-04 eta: 21:50:24 time: 0.8925 data_time: 0.4915 memory: 22238 grad_norm: 19.1083 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.6004 loss: 1.6004 2022/07/31 19:59:49 - mmengine - INFO - Epoch(train) [27][140/2505] lr: 5.0000e-04 eta: 21:50:07 time: 1.0899 data_time: 0.6844 memory: 22238 grad_norm: 19.2040 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7259 loss: 1.7259 2022/07/31 20:00:07 - mmengine - INFO - Epoch(train) [27][160/2505] lr: 5.0000e-04 eta: 21:49:45 time: 0.8906 data_time: 0.4923 memory: 22238 grad_norm: 19.8262 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9452 loss: 1.9452 2022/07/31 20:00:29 - mmengine - INFO - Epoch(train) [27][180/2505] lr: 5.0000e-04 eta: 21:49:28 time: 1.0923 data_time: 0.6812 memory: 22238 grad_norm: 19.4770 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7842 loss: 1.7842 2022/07/31 20:00:46 - mmengine - INFO - Epoch(train) [27][200/2505] lr: 5.0000e-04 eta: 21:49:06 time: 0.8669 data_time: 0.4686 memory: 22238 grad_norm: 19.6850 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7467 loss: 1.7467 2022/07/31 20:01:07 - mmengine - INFO - Epoch(train) [27][220/2505] lr: 5.0000e-04 eta: 21:48:47 time: 1.0437 data_time: 0.6308 memory: 22238 grad_norm: 19.7087 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5760 loss: 1.5760 2022/07/31 20:01:25 - mmengine - INFO - Epoch(train) [27][240/2505] lr: 5.0000e-04 eta: 21:48:26 time: 0.9124 data_time: 0.4652 memory: 22238 grad_norm: 18.6001 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5835 loss: 1.5835 2022/07/31 20:01:47 - mmengine - INFO - Epoch(train) [27][260/2505] lr: 5.0000e-04 eta: 21:48:09 time: 1.1044 data_time: 0.6175 memory: 22238 grad_norm: 19.3958 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7889 loss: 1.7889 2022/07/31 20:02:05 - mmengine - INFO - Epoch(train) [27][280/2505] lr: 5.0000e-04 eta: 21:47:48 time: 0.8944 data_time: 0.3976 memory: 22238 grad_norm: 18.8546 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4133 loss: 1.4133 2022/07/31 20:02:27 - mmengine - INFO - Epoch(train) [27][300/2505] lr: 5.0000e-04 eta: 21:47:31 time: 1.0893 data_time: 0.5667 memory: 22238 grad_norm: 19.4487 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5251 loss: 1.5251 2022/07/31 20:02:44 - mmengine - INFO - Epoch(train) [27][320/2505] lr: 5.0000e-04 eta: 21:47:08 time: 0.8502 data_time: 0.4391 memory: 22238 grad_norm: 19.6105 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5823 loss: 1.5823 2022/07/31 20:03:06 - mmengine - INFO - Epoch(train) [27][340/2505] lr: 5.0000e-04 eta: 21:46:51 time: 1.1193 data_time: 0.7182 memory: 22238 grad_norm: 19.5461 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8999 loss: 1.8999 2022/07/31 20:03:24 - mmengine - INFO - Epoch(train) [27][360/2505] lr: 5.0000e-04 eta: 21:46:29 time: 0.8636 data_time: 0.4522 memory: 22238 grad_norm: 19.7564 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6427 loss: 1.6427 2022/07/31 20:03:46 - mmengine - INFO - Epoch(train) [27][380/2505] lr: 5.0000e-04 eta: 21:46:13 time: 1.1209 data_time: 0.7114 memory: 22238 grad_norm: 19.2389 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4071 loss: 1.4071 2022/07/31 20:04:03 - mmengine - INFO - Epoch(train) [27][400/2505] lr: 5.0000e-04 eta: 21:45:50 time: 0.8416 data_time: 0.4439 memory: 22238 grad_norm: 19.4315 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7165 loss: 1.7165 2022/07/31 20:04:25 - mmengine - INFO - Epoch(train) [27][420/2505] lr: 5.0000e-04 eta: 21:45:33 time: 1.0945 data_time: 0.6899 memory: 22238 grad_norm: 20.1335 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6337 loss: 1.6337 2022/07/31 20:04:42 - mmengine - INFO - Epoch(train) [27][440/2505] lr: 5.0000e-04 eta: 21:45:10 time: 0.8557 data_time: 0.4630 memory: 22238 grad_norm: 19.4758 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7676 loss: 1.7676 2022/07/31 20:05:05 - mmengine - INFO - Epoch(train) [27][460/2505] lr: 5.0000e-04 eta: 21:44:55 time: 1.1683 data_time: 0.7538 memory: 22238 grad_norm: 18.6976 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4206 loss: 1.4206 2022/07/31 20:05:23 - mmengine - INFO - Epoch(train) [27][480/2505] lr: 5.0000e-04 eta: 21:44:32 time: 0.8580 data_time: 0.4627 memory: 22238 grad_norm: 18.2351 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.8101 loss: 1.8101 2022/07/31 20:05:44 - mmengine - INFO - Epoch(train) [27][500/2505] lr: 5.0000e-04 eta: 21:44:15 time: 1.0801 data_time: 0.6721 memory: 22238 grad_norm: 19.1561 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6134 loss: 1.6134 2022/07/31 20:06:01 - mmengine - INFO - Epoch(train) [27][520/2505] lr: 5.0000e-04 eta: 21:43:52 time: 0.8330 data_time: 0.4394 memory: 22238 grad_norm: 19.9611 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4681 loss: 1.4681 2022/07/31 20:06:23 - mmengine - INFO - Epoch(train) [27][540/2505] lr: 5.0000e-04 eta: 21:43:35 time: 1.0912 data_time: 0.6995 memory: 22238 grad_norm: 20.2630 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6832 loss: 1.6832 2022/07/31 20:06:40 - mmengine - INFO - Epoch(train) [27][560/2505] lr: 5.0000e-04 eta: 21:43:12 time: 0.8479 data_time: 0.4553 memory: 22238 grad_norm: 19.2832 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3899 loss: 1.3899 2022/07/31 20:07:02 - mmengine - INFO - Epoch(train) [27][580/2505] lr: 5.0000e-04 eta: 21:42:55 time: 1.0902 data_time: 0.6987 memory: 22238 grad_norm: 19.3693 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6690 loss: 1.6690 2022/07/31 20:07:19 - mmengine - INFO - Epoch(train) [27][600/2505] lr: 5.0000e-04 eta: 21:42:32 time: 0.8730 data_time: 0.4742 memory: 22238 grad_norm: 19.0080 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5244 loss: 1.5244 2022/07/31 20:07:41 - mmengine - INFO - Epoch(train) [27][620/2505] lr: 5.0000e-04 eta: 21:42:15 time: 1.0875 data_time: 0.6571 memory: 22238 grad_norm: 18.9604 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.4615 loss: 1.4615 2022/07/31 20:07:58 - mmengine - INFO - Epoch(train) [27][640/2505] lr: 5.0000e-04 eta: 21:41:53 time: 0.8633 data_time: 0.4728 memory: 22238 grad_norm: 19.5760 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5113 loss: 1.5113 2022/07/31 20:08:19 - mmengine - INFO - Epoch(train) [27][660/2505] lr: 5.0000e-04 eta: 21:41:35 time: 1.0709 data_time: 0.6585 memory: 22238 grad_norm: 19.0602 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4286 loss: 1.4286 2022/07/31 20:08:38 - mmengine - INFO - Epoch(train) [27][680/2505] lr: 5.0000e-04 eta: 21:41:14 time: 0.9061 data_time: 0.5155 memory: 22238 grad_norm: 18.7584 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6908 loss: 1.6908 2022/07/31 20:08:59 - mmengine - INFO - Epoch(train) [27][700/2505] lr: 5.0000e-04 eta: 21:40:56 time: 1.0551 data_time: 0.6533 memory: 22238 grad_norm: 19.9805 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5626 loss: 1.5626 2022/07/31 20:09:16 - mmengine - INFO - Epoch(train) [27][720/2505] lr: 5.0000e-04 eta: 21:40:33 time: 0.8674 data_time: 0.4654 memory: 22238 grad_norm: 19.7938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5182 loss: 1.5182 2022/07/31 20:09:38 - mmengine - INFO - Epoch(train) [27][740/2505] lr: 5.0000e-04 eta: 21:40:17 time: 1.1272 data_time: 0.7222 memory: 22238 grad_norm: 19.3518 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5078 loss: 1.5078 2022/07/31 20:09:56 - mmengine - INFO - Epoch(train) [27][760/2505] lr: 5.0000e-04 eta: 21:39:55 time: 0.8561 data_time: 0.4655 memory: 22238 grad_norm: 19.4780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5995 loss: 1.5995 2022/07/31 20:10:18 - mmengine - INFO - Epoch(train) [27][780/2505] lr: 5.0000e-04 eta: 21:39:38 time: 1.1198 data_time: 0.7125 memory: 22238 grad_norm: 19.5558 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6121 loss: 1.6121 2022/07/31 20:10:35 - mmengine - INFO - Epoch(train) [27][800/2505] lr: 5.0000e-04 eta: 21:39:16 time: 0.8737 data_time: 0.4744 memory: 22238 grad_norm: 18.1583 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4413 loss: 1.4413 2022/07/31 20:10:57 - mmengine - INFO - Epoch(train) [27][820/2505] lr: 5.0000e-04 eta: 21:38:59 time: 1.0900 data_time: 0.6993 memory: 22238 grad_norm: 19.3761 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8133 loss: 1.8133 2022/07/31 20:11:14 - mmengine - INFO - Epoch(train) [27][840/2505] lr: 5.0000e-04 eta: 21:38:36 time: 0.8502 data_time: 0.4302 memory: 22238 grad_norm: 20.5281 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4954 loss: 1.4954 2022/07/31 20:11:36 - mmengine - INFO - Epoch(train) [27][860/2505] lr: 5.0000e-04 eta: 21:38:19 time: 1.0817 data_time: 0.6875 memory: 22238 grad_norm: 19.2262 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7525 loss: 1.7525 2022/07/31 20:11:45 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 20:11:53 - mmengine - INFO - Epoch(train) [27][880/2505] lr: 5.0000e-04 eta: 21:37:57 time: 0.8768 data_time: 0.4860 memory: 22238 grad_norm: 18.6881 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7427 loss: 1.7427 2022/07/31 20:12:16 - mmengine - INFO - Epoch(train) [27][900/2505] lr: 5.0000e-04 eta: 21:37:40 time: 1.1197 data_time: 0.7221 memory: 22238 grad_norm: 18.8770 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4275 loss: 1.4275 2022/07/31 20:12:33 - mmengine - INFO - Epoch(train) [27][920/2505] lr: 5.0000e-04 eta: 21:37:18 time: 0.8802 data_time: 0.4802 memory: 22238 grad_norm: 19.6226 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4711 loss: 1.4711 2022/07/31 20:12:56 - mmengine - INFO - Epoch(train) [27][940/2505] lr: 5.0000e-04 eta: 21:37:02 time: 1.1086 data_time: 0.7124 memory: 22238 grad_norm: 19.7143 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6315 loss: 1.6315 2022/07/31 20:13:13 - mmengine - INFO - Epoch(train) [27][960/2505] lr: 5.0000e-04 eta: 21:36:39 time: 0.8621 data_time: 0.4644 memory: 22238 grad_norm: 19.2936 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5456 loss: 1.5456 2022/07/31 20:13:36 - mmengine - INFO - Epoch(train) [27][980/2505] lr: 5.0000e-04 eta: 21:36:23 time: 1.1339 data_time: 0.7254 memory: 22238 grad_norm: 18.4980 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4409 loss: 1.4409 2022/07/31 20:13:53 - mmengine - INFO - Epoch(train) [27][1000/2505] lr: 5.0000e-04 eta: 21:36:00 time: 0.8473 data_time: 0.4430 memory: 22238 grad_norm: 19.5730 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5204 loss: 1.5204 2022/07/31 20:14:14 - mmengine - INFO - Epoch(train) [27][1020/2505] lr: 5.0000e-04 eta: 21:35:43 time: 1.0945 data_time: 0.6832 memory: 22238 grad_norm: 19.0444 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6008 loss: 1.6008 2022/07/31 20:14:31 - mmengine - INFO - Epoch(train) [27][1040/2505] lr: 5.0000e-04 eta: 21:35:20 time: 0.8313 data_time: 0.4413 memory: 22238 grad_norm: 19.2859 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7778 loss: 1.7778 2022/07/31 20:14:53 - mmengine - INFO - Epoch(train) [27][1060/2505] lr: 5.0000e-04 eta: 21:35:03 time: 1.0859 data_time: 0.6828 memory: 22238 grad_norm: 19.3229 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7559 loss: 1.7559 2022/07/31 20:15:11 - mmengine - INFO - Epoch(train) [27][1080/2505] lr: 5.0000e-04 eta: 21:34:41 time: 0.9130 data_time: 0.5203 memory: 22238 grad_norm: 19.4482 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6313 loss: 1.6313 2022/07/31 20:15:33 - mmengine - INFO - Epoch(train) [27][1100/2505] lr: 5.0000e-04 eta: 21:34:25 time: 1.1091 data_time: 0.7125 memory: 22238 grad_norm: 19.2896 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9296 loss: 1.9296 2022/07/31 20:15:50 - mmengine - INFO - Epoch(train) [27][1120/2505] lr: 5.0000e-04 eta: 21:34:02 time: 0.8563 data_time: 0.4615 memory: 22238 grad_norm: 18.8796 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8010 loss: 1.8010 2022/07/31 20:16:13 - mmengine - INFO - Epoch(train) [27][1140/2505] lr: 5.0000e-04 eta: 21:33:46 time: 1.1073 data_time: 0.7030 memory: 22238 grad_norm: 19.1217 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7570 loss: 1.7570 2022/07/31 20:16:30 - mmengine - INFO - Epoch(train) [27][1160/2505] lr: 5.0000e-04 eta: 21:33:23 time: 0.8613 data_time: 0.4629 memory: 22238 grad_norm: 19.9110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7137 loss: 1.7137 2022/07/31 20:16:52 - mmengine - INFO - Epoch(train) [27][1180/2505] lr: 5.0000e-04 eta: 21:33:06 time: 1.1140 data_time: 0.7121 memory: 22238 grad_norm: 19.8852 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6035 loss: 1.6035 2022/07/31 20:17:09 - mmengine - INFO - Epoch(train) [27][1200/2505] lr: 5.0000e-04 eta: 21:32:43 time: 0.8422 data_time: 0.4509 memory: 22238 grad_norm: 19.1615 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5393 loss: 1.5393 2022/07/31 20:17:30 - mmengine - INFO - Epoch(train) [27][1220/2505] lr: 5.0000e-04 eta: 21:32:26 time: 1.0628 data_time: 0.6619 memory: 22238 grad_norm: 18.8956 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.4633 loss: 1.4633 2022/07/31 20:17:48 - mmengine - INFO - Epoch(train) [27][1240/2505] lr: 5.0000e-04 eta: 21:32:04 time: 0.8727 data_time: 0.4792 memory: 22238 grad_norm: 19.6869 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5150 loss: 1.5150 2022/07/31 20:18:10 - mmengine - INFO - Epoch(train) [27][1260/2505] lr: 5.0000e-04 eta: 21:31:47 time: 1.0966 data_time: 0.7071 memory: 22238 grad_norm: 19.9545 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.6994 loss: 1.6994 2022/07/31 20:18:27 - mmengine - INFO - Epoch(train) [27][1280/2505] lr: 5.0000e-04 eta: 21:31:24 time: 0.8695 data_time: 0.4722 memory: 22238 grad_norm: 18.6810 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6358 loss: 1.6358 2022/07/31 20:18:48 - mmengine - INFO - Epoch(train) [27][1300/2505] lr: 5.0000e-04 eta: 21:31:07 time: 1.0703 data_time: 0.6792 memory: 22238 grad_norm: 19.6146 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9415 loss: 1.9415 2022/07/31 20:19:06 - mmengine - INFO - Epoch(train) [27][1320/2505] lr: 5.0000e-04 eta: 21:30:45 time: 0.8852 data_time: 0.4821 memory: 22238 grad_norm: 19.8406 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.8402 loss: 1.8402 2022/07/31 20:19:28 - mmengine - INFO - Epoch(train) [27][1340/2505] lr: 5.0000e-04 eta: 21:30:27 time: 1.0783 data_time: 0.6828 memory: 22238 grad_norm: 18.7701 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6417 loss: 1.6417 2022/07/31 20:19:45 - mmengine - INFO - Epoch(train) [27][1360/2505] lr: 5.0000e-04 eta: 21:30:05 time: 0.8794 data_time: 0.4782 memory: 22238 grad_norm: 19.5234 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.8222 loss: 1.8222 2022/07/31 20:20:07 - mmengine - INFO - Epoch(train) [27][1380/2505] lr: 5.0000e-04 eta: 21:29:48 time: 1.0916 data_time: 0.6973 memory: 22238 grad_norm: 20.0708 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6758 loss: 1.6758 2022/07/31 20:20:25 - mmengine - INFO - Epoch(train) [27][1400/2505] lr: 5.0000e-04 eta: 21:29:26 time: 0.8795 data_time: 0.4293 memory: 22238 grad_norm: 18.8395 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6138 loss: 1.6138 2022/07/31 20:20:46 - mmengine - INFO - Epoch(train) [27][1420/2505] lr: 5.0000e-04 eta: 21:29:09 time: 1.0849 data_time: 0.6736 memory: 22238 grad_norm: 20.1352 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.8118 loss: 1.8118 2022/07/31 20:21:03 - mmengine - INFO - Epoch(train) [27][1440/2505] lr: 5.0000e-04 eta: 21:28:46 time: 0.8563 data_time: 0.4523 memory: 22238 grad_norm: 19.2839 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0040 loss: 2.0040 2022/07/31 20:21:26 - mmengine - INFO - Epoch(train) [27][1460/2505] lr: 5.0000e-04 eta: 21:28:30 time: 1.1196 data_time: 0.7253 memory: 22238 grad_norm: 19.4097 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4325 loss: 1.4325 2022/07/31 20:21:43 - mmengine - INFO - Epoch(train) [27][1480/2505] lr: 5.0000e-04 eta: 21:28:08 time: 0.8752 data_time: 0.4837 memory: 22238 grad_norm: 19.0740 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7204 loss: 1.7204 2022/07/31 20:22:05 - mmengine - INFO - Epoch(train) [27][1500/2505] lr: 5.0000e-04 eta: 21:27:51 time: 1.1014 data_time: 0.7013 memory: 22238 grad_norm: 19.8109 top1_acc: 0.1667 top5_acc: 0.5833 loss_cls: 1.7006 loss: 1.7006 2022/07/31 20:22:22 - mmengine - INFO - Epoch(train) [27][1520/2505] lr: 5.0000e-04 eta: 21:27:28 time: 0.8479 data_time: 0.4537 memory: 22238 grad_norm: 19.2222 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5985 loss: 1.5985 2022/07/31 20:22:44 - mmengine - INFO - Epoch(train) [27][1540/2505] lr: 5.0000e-04 eta: 21:27:11 time: 1.1029 data_time: 0.7032 memory: 22238 grad_norm: 18.9307 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7013 loss: 1.7013 2022/07/31 20:23:03 - mmengine - INFO - Epoch(train) [27][1560/2505] lr: 5.0000e-04 eta: 21:26:50 time: 0.9241 data_time: 0.5301 memory: 22238 grad_norm: 19.6260 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6142 loss: 1.6142 2022/07/31 20:23:25 - mmengine - INFO - Epoch(train) [27][1580/2505] lr: 5.0000e-04 eta: 21:26:33 time: 1.0949 data_time: 0.6856 memory: 22238 grad_norm: 19.0329 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6857 loss: 1.6857 2022/07/31 20:23:43 - mmengine - INFO - Epoch(train) [27][1600/2505] lr: 5.0000e-04 eta: 21:26:11 time: 0.8826 data_time: 0.4805 memory: 22238 grad_norm: 19.7290 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8292 loss: 1.8292 2022/07/31 20:24:03 - mmengine - INFO - Epoch(train) [27][1620/2505] lr: 5.0000e-04 eta: 21:25:52 time: 1.0079 data_time: 0.5974 memory: 22238 grad_norm: 18.7810 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5186 loss: 1.5186 2022/07/31 20:24:20 - mmengine - INFO - Epoch(train) [27][1640/2505] lr: 5.0000e-04 eta: 21:25:30 time: 0.8874 data_time: 0.4894 memory: 22238 grad_norm: 19.2145 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5680 loss: 1.5680 2022/07/31 20:24:42 - mmengine - INFO - Epoch(train) [27][1660/2505] lr: 5.0000e-04 eta: 21:25:13 time: 1.0769 data_time: 0.6644 memory: 22238 grad_norm: 18.3921 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7214 loss: 1.7214 2022/07/31 20:25:00 - mmengine - INFO - Epoch(train) [27][1680/2505] lr: 5.0000e-04 eta: 21:24:51 time: 0.8853 data_time: 0.4911 memory: 22238 grad_norm: 19.1403 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9006 loss: 1.9006 2022/07/31 20:25:22 - mmengine - INFO - Epoch(train) [27][1700/2505] lr: 5.0000e-04 eta: 21:24:34 time: 1.0941 data_time: 0.6900 memory: 22238 grad_norm: 18.4740 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8936 loss: 1.8936 2022/07/31 20:25:39 - mmengine - INFO - Epoch(train) [27][1720/2505] lr: 5.0000e-04 eta: 21:24:11 time: 0.8495 data_time: 0.4494 memory: 22238 grad_norm: 19.7072 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5879 loss: 1.5879 2022/07/31 20:26:00 - mmengine - INFO - Epoch(train) [27][1740/2505] lr: 5.0000e-04 eta: 21:23:53 time: 1.0532 data_time: 0.6521 memory: 22238 grad_norm: 18.9718 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5647 loss: 1.5647 2022/07/31 20:26:17 - mmengine - INFO - Epoch(train) [27][1760/2505] lr: 5.0000e-04 eta: 21:23:31 time: 0.8650 data_time: 0.4721 memory: 22238 grad_norm: 18.6398 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6240 loss: 1.6240 2022/07/31 20:26:39 - mmengine - INFO - Epoch(train) [27][1780/2505] lr: 5.0000e-04 eta: 21:23:14 time: 1.1113 data_time: 0.7181 memory: 22238 grad_norm: 19.5696 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6471 loss: 1.6471 2022/07/31 20:26:57 - mmengine - INFO - Epoch(train) [27][1800/2505] lr: 5.0000e-04 eta: 21:22:52 time: 0.8644 data_time: 0.4583 memory: 22238 grad_norm: 19.8352 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4368 loss: 1.4368 2022/07/31 20:27:19 - mmengine - INFO - Epoch(train) [27][1820/2505] lr: 5.0000e-04 eta: 21:22:36 time: 1.1323 data_time: 0.7374 memory: 22238 grad_norm: 19.5232 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6444 loss: 1.6444 2022/07/31 20:27:36 - mmengine - INFO - Epoch(train) [27][1840/2505] lr: 5.0000e-04 eta: 21:22:13 time: 0.8584 data_time: 0.4490 memory: 22238 grad_norm: 19.4933 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7356 loss: 1.7356 2022/07/31 20:27:59 - mmengine - INFO - Epoch(train) [27][1860/2505] lr: 5.0000e-04 eta: 21:21:56 time: 1.1095 data_time: 0.7147 memory: 22238 grad_norm: 19.1747 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5595 loss: 1.5595 2022/07/31 20:28:07 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 20:28:16 - mmengine - INFO - Epoch(train) [27][1880/2505] lr: 5.0000e-04 eta: 21:21:35 time: 0.8876 data_time: 0.4896 memory: 22238 grad_norm: 18.8931 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3594 loss: 1.3594 2022/07/31 20:28:39 - mmengine - INFO - Epoch(train) [27][1900/2505] lr: 5.0000e-04 eta: 21:21:18 time: 1.1103 data_time: 0.7187 memory: 22238 grad_norm: 19.1465 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5648 loss: 1.5648 2022/07/31 20:28:56 - mmengine - INFO - Epoch(train) [27][1920/2505] lr: 5.0000e-04 eta: 21:20:56 time: 0.8906 data_time: 0.4856 memory: 22238 grad_norm: 19.7988 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2973 loss: 1.2973 2022/07/31 20:29:18 - mmengine - INFO - Epoch(train) [27][1940/2505] lr: 5.0000e-04 eta: 21:20:38 time: 1.0663 data_time: 0.6632 memory: 22238 grad_norm: 19.1142 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6921 loss: 1.6921 2022/07/31 20:29:35 - mmengine - INFO - Epoch(train) [27][1960/2505] lr: 5.0000e-04 eta: 21:20:16 time: 0.8720 data_time: 0.4695 memory: 22238 grad_norm: 18.5941 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4655 loss: 1.4655 2022/07/31 20:29:57 - mmengine - INFO - Epoch(train) [27][1980/2505] lr: 5.0000e-04 eta: 21:19:59 time: 1.0854 data_time: 0.6833 memory: 22238 grad_norm: 19.5474 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7464 loss: 1.7464 2022/07/31 20:30:15 - mmengine - INFO - Epoch(train) [27][2000/2505] lr: 5.0000e-04 eta: 21:19:37 time: 0.8910 data_time: 0.4317 memory: 22238 grad_norm: 19.4347 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5678 loss: 1.5678 2022/07/31 20:30:37 - mmengine - INFO - Epoch(train) [27][2020/2505] lr: 5.0000e-04 eta: 21:19:20 time: 1.1044 data_time: 0.6957 memory: 22238 grad_norm: 19.2798 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8161 loss: 1.8161 2022/07/31 20:30:54 - mmengine - INFO - Epoch(train) [27][2040/2505] lr: 5.0000e-04 eta: 21:18:58 time: 0.8749 data_time: 0.4835 memory: 22238 grad_norm: 19.6291 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8630 loss: 1.8630 2022/07/31 20:31:16 - mmengine - INFO - Epoch(train) [27][2060/2505] lr: 5.0000e-04 eta: 21:18:41 time: 1.0996 data_time: 0.6941 memory: 22238 grad_norm: 19.4003 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5974 loss: 1.5974 2022/07/31 20:31:33 - mmengine - INFO - Epoch(train) [27][2080/2505] lr: 5.0000e-04 eta: 21:18:18 time: 0.8384 data_time: 0.4469 memory: 22238 grad_norm: 18.8583 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7241 loss: 1.7241 2022/07/31 20:31:55 - mmengine - INFO - Epoch(train) [27][2100/2505] lr: 5.0000e-04 eta: 21:18:01 time: 1.0774 data_time: 0.6706 memory: 22238 grad_norm: 18.9483 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6070 loss: 1.6070 2022/07/31 20:32:12 - mmengine - INFO - Epoch(train) [27][2120/2505] lr: 5.0000e-04 eta: 21:17:39 time: 0.8734 data_time: 0.4297 memory: 22238 grad_norm: 18.8437 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7342 loss: 1.7342 2022/07/31 20:32:34 - mmengine - INFO - Epoch(train) [27][2140/2505] lr: 5.0000e-04 eta: 21:17:22 time: 1.0932 data_time: 0.6678 memory: 22238 grad_norm: 19.0658 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4604 loss: 1.4604 2022/07/31 20:32:51 - mmengine - INFO - Epoch(train) [27][2160/2505] lr: 5.0000e-04 eta: 21:16:59 time: 0.8720 data_time: 0.4329 memory: 22238 grad_norm: 19.6674 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5574 loss: 1.5574 2022/07/31 20:33:13 - mmengine - INFO - Epoch(train) [27][2180/2505] lr: 5.0000e-04 eta: 21:16:42 time: 1.0704 data_time: 0.6148 memory: 22238 grad_norm: 19.7890 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6031 loss: 1.6031 2022/07/31 20:33:30 - mmengine - INFO - Epoch(train) [27][2200/2505] lr: 5.0000e-04 eta: 21:16:20 time: 0.8756 data_time: 0.4611 memory: 22238 grad_norm: 18.2691 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6046 loss: 1.6046 2022/07/31 20:33:53 - mmengine - INFO - Epoch(train) [27][2220/2505] lr: 5.0000e-04 eta: 21:16:03 time: 1.1245 data_time: 0.6099 memory: 22238 grad_norm: 18.8817 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5636 loss: 1.5636 2022/07/31 20:34:10 - mmengine - INFO - Epoch(train) [27][2240/2505] lr: 5.0000e-04 eta: 21:15:41 time: 0.8428 data_time: 0.3966 memory: 22238 grad_norm: 19.6225 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5512 loss: 1.5512 2022/07/31 20:34:32 - mmengine - INFO - Epoch(train) [27][2260/2505] lr: 5.0000e-04 eta: 21:15:24 time: 1.0996 data_time: 0.7027 memory: 22238 grad_norm: 18.3788 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5839 loss: 1.5839 2022/07/31 20:34:49 - mmengine - INFO - Epoch(train) [27][2280/2505] lr: 5.0000e-04 eta: 21:15:02 time: 0.8798 data_time: 0.4669 memory: 22238 grad_norm: 18.9635 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6144 loss: 1.6144 2022/07/31 20:35:11 - mmengine - INFO - Epoch(train) [27][2300/2505] lr: 5.0000e-04 eta: 21:14:44 time: 1.0810 data_time: 0.6628 memory: 22238 grad_norm: 18.8327 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6450 loss: 1.6450 2022/07/31 20:35:28 - mmengine - INFO - Epoch(train) [27][2320/2505] lr: 5.0000e-04 eta: 21:14:22 time: 0.8582 data_time: 0.4313 memory: 22238 grad_norm: 18.3383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5140 loss: 1.5140 2022/07/31 20:35:49 - mmengine - INFO - Epoch(train) [27][2340/2505] lr: 5.0000e-04 eta: 21:14:04 time: 1.0689 data_time: 0.6711 memory: 22238 grad_norm: 19.5045 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4982 loss: 1.4982 2022/07/31 20:36:08 - mmengine - INFO - Epoch(train) [27][2360/2505] lr: 5.0000e-04 eta: 21:13:43 time: 0.9081 data_time: 0.5094 memory: 22238 grad_norm: 18.8729 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6503 loss: 1.6503 2022/07/31 20:36:29 - mmengine - INFO - Epoch(train) [27][2380/2505] lr: 5.0000e-04 eta: 21:13:25 time: 1.0581 data_time: 0.6568 memory: 22238 grad_norm: 19.6371 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5422 loss: 1.5422 2022/07/31 20:36:46 - mmengine - INFO - Epoch(train) [27][2400/2505] lr: 5.0000e-04 eta: 21:13:03 time: 0.8818 data_time: 0.4767 memory: 22238 grad_norm: 19.3628 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5256 loss: 1.5256 2022/07/31 20:37:08 - mmengine - INFO - Epoch(train) [27][2420/2505] lr: 5.0000e-04 eta: 21:12:46 time: 1.1068 data_time: 0.6768 memory: 22238 grad_norm: 18.9013 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7557 loss: 1.7557 2022/07/31 20:37:26 - mmengine - INFO - Epoch(train) [27][2440/2505] lr: 5.0000e-04 eta: 21:12:24 time: 0.8694 data_time: 0.4145 memory: 22238 grad_norm: 18.0443 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4517 loss: 1.4517 2022/07/31 20:37:48 - mmengine - INFO - Epoch(train) [27][2460/2505] lr: 5.0000e-04 eta: 21:12:07 time: 1.1086 data_time: 0.5638 memory: 22238 grad_norm: 19.3452 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.6903 loss: 1.6903 2022/07/31 20:38:05 - mmengine - INFO - Epoch(train) [27][2480/2505] lr: 5.0000e-04 eta: 21:11:44 time: 0.8505 data_time: 0.4120 memory: 22238 grad_norm: 19.0988 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4272 loss: 1.4272 2022/07/31 20:38:24 - mmengine - INFO - Epoch(train) [27][2500/2505] lr: 5.0000e-04 eta: 21:11:23 time: 0.9189 data_time: 0.3819 memory: 22238 grad_norm: 18.3187 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8081 loss: 1.8081 2022/07/31 20:38:25 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 20:38:25 - mmengine - INFO - Epoch(train) [27][2505/2505] lr: 5.0000e-04 eta: 21:11:23 time: 0.6691 data_time: 0.2094 memory: 22238 grad_norm: 18.5650 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6684 loss: 1.6684 2022/07/31 20:38:28 - mmengine - INFO - Epoch(val) [27][20/2475] eta: 0:04:43 time: 0.1154 data_time: 0.0973 memory: 564 2022/07/31 20:38:29 - mmengine - INFO - Epoch(val) [27][40/2475] eta: 0:02:51 time: 0.0705 data_time: 0.0509 memory: 564 2022/07/31 20:38:31 - mmengine - INFO - Epoch(val) [27][60/2475] eta: 0:03:43 time: 0.0924 data_time: 0.0723 memory: 564 2022/07/31 20:38:32 - mmengine - INFO - Epoch(val) [27][80/2475] eta: 0:02:48 time: 0.0704 data_time: 0.0523 memory: 564 2022/07/31 20:38:34 - mmengine - INFO - Epoch(val) [27][100/2475] eta: 0:03:54 time: 0.0988 data_time: 0.0779 memory: 564 2022/07/31 20:38:36 - mmengine - INFO - Epoch(val) [27][120/2475] eta: 0:02:46 time: 0.0705 data_time: 0.0511 memory: 564 2022/07/31 20:38:38 - mmengine - INFO - Epoch(val) [27][140/2475] eta: 0:03:30 time: 0.0903 data_time: 0.0659 memory: 564 2022/07/31 20:38:39 - mmengine - INFO - Epoch(val) [27][160/2475] eta: 0:02:31 time: 0.0655 data_time: 0.0474 memory: 564 2022/07/31 20:38:41 - mmengine - INFO - Epoch(val) [27][180/2475] eta: 0:03:28 time: 0.0910 data_time: 0.0713 memory: 564 2022/07/31 20:38:42 - mmengine - INFO - Epoch(val) [27][200/2475] eta: 0:03:11 time: 0.0843 data_time: 0.0654 memory: 564 2022/07/31 20:38:44 - mmengine - INFO - Epoch(val) [27][220/2475] eta: 0:03:13 time: 0.0857 data_time: 0.0646 memory: 564 2022/07/31 20:38:46 - mmengine - INFO - Epoch(val) [27][240/2475] eta: 0:02:34 time: 0.0689 data_time: 0.0462 memory: 564 2022/07/31 20:38:48 - mmengine - INFO - Epoch(val) [27][260/2475] eta: 0:03:36 time: 0.0979 data_time: 0.0733 memory: 564 2022/07/31 20:38:49 - mmengine - INFO - Epoch(val) [27][280/2475] eta: 0:02:26 time: 0.0667 data_time: 0.0437 memory: 564 2022/07/31 20:38:51 - mmengine - INFO - Epoch(val) [27][300/2475] eta: 0:03:14 time: 0.0896 data_time: 0.0693 memory: 564 2022/07/31 20:38:52 - mmengine - INFO - Epoch(val) [27][320/2475] eta: 0:02:32 time: 0.0706 data_time: 0.0505 memory: 564 2022/07/31 20:38:54 - mmengine - INFO - Epoch(val) [27][340/2475] eta: 0:03:34 time: 0.1007 data_time: 0.0797 memory: 564 2022/07/31 20:38:55 - mmengine - INFO - Epoch(val) [27][360/2475] eta: 0:02:08 time: 0.0609 data_time: 0.0421 memory: 564 2022/07/31 20:38:57 - mmengine - INFO - Epoch(val) [27][380/2475] eta: 0:03:04 time: 0.0880 data_time: 0.0707 memory: 564 2022/07/31 20:38:59 - mmengine - INFO - Epoch(val) [27][400/2475] eta: 0:02:30 time: 0.0726 data_time: 0.0529 memory: 564 2022/07/31 20:39:00 - mmengine - INFO - Epoch(val) [27][420/2475] eta: 0:02:59 time: 0.0872 data_time: 0.0672 memory: 564 2022/07/31 20:39:02 - mmengine - INFO - Epoch(val) [27][440/2475] eta: 0:02:16 time: 0.0673 data_time: 0.0474 memory: 564 2022/07/31 20:39:03 - mmengine - INFO - Epoch(val) [27][460/2475] eta: 0:03:04 time: 0.0916 data_time: 0.0738 memory: 564 2022/07/31 20:39:05 - mmengine - INFO - Epoch(val) [27][480/2475] eta: 0:02:23 time: 0.0721 data_time: 0.0542 memory: 564 2022/07/31 20:39:07 - mmengine - INFO - Epoch(val) [27][500/2475] eta: 0:02:58 time: 0.0906 data_time: 0.0700 memory: 564 2022/07/31 20:39:08 - mmengine - INFO - Epoch(val) [27][520/2475] eta: 0:02:22 time: 0.0728 data_time: 0.0546 memory: 564 2022/07/31 20:39:10 - mmengine - INFO - Epoch(val) [27][540/2475] eta: 0:02:48 time: 0.0869 data_time: 0.0650 memory: 564 2022/07/31 20:39:11 - mmengine - INFO - Epoch(val) [27][560/2475] eta: 0:02:21 time: 0.0737 data_time: 0.0561 memory: 564 2022/07/31 20:39:13 - mmengine - INFO - Epoch(val) [27][580/2475] eta: 0:02:37 time: 0.0833 data_time: 0.0634 memory: 564 2022/07/31 20:39:15 - mmengine - INFO - Epoch(val) [27][600/2475] eta: 0:02:46 time: 0.0885 data_time: 0.0685 memory: 564 2022/07/31 20:39:16 - mmengine - INFO - Epoch(val) [27][620/2475] eta: 0:02:20 time: 0.0757 data_time: 0.0553 memory: 564 2022/07/31 20:39:18 - mmengine - INFO - Epoch(val) [27][640/2475] eta: 0:02:23 time: 0.0784 data_time: 0.0585 memory: 564 2022/07/31 20:39:20 - mmengine - INFO - Epoch(val) [27][660/2475] eta: 0:02:50 time: 0.0940 data_time: 0.0735 memory: 564 2022/07/31 20:39:21 - mmengine - INFO - Epoch(val) [27][680/2475] eta: 0:02:02 time: 0.0685 data_time: 0.0499 memory: 564 2022/07/31 20:39:23 - mmengine - INFO - Epoch(val) [27][700/2475] eta: 0:02:48 time: 0.0950 data_time: 0.0771 memory: 564 2022/07/31 20:39:25 - mmengine - INFO - Epoch(val) [27][720/2475] eta: 0:02:12 time: 0.0754 data_time: 0.0526 memory: 564 2022/07/31 20:39:26 - mmengine - INFO - Epoch(val) [27][740/2475] eta: 0:02:31 time: 0.0875 data_time: 0.0667 memory: 564 2022/07/31 20:39:28 - mmengine - INFO - Epoch(val) [27][760/2475] eta: 0:02:12 time: 0.0772 data_time: 0.0579 memory: 564 2022/07/31 20:39:30 - mmengine - INFO - Epoch(val) [27][780/2475] eta: 0:02:23 time: 0.0849 data_time: 0.0635 memory: 564 2022/07/31 20:39:31 - mmengine - INFO - Epoch(val) [27][800/2475] eta: 0:01:55 time: 0.0687 data_time: 0.0443 memory: 564 2022/07/31 20:39:33 - mmengine - INFO - Epoch(val) [27][820/2475] eta: 0:02:24 time: 0.0874 data_time: 0.0680 memory: 564 2022/07/31 20:39:34 - mmengine - INFO - Epoch(val) [27][840/2475] eta: 0:01:58 time: 0.0723 data_time: 0.0490 memory: 564 2022/07/31 20:39:36 - mmengine - INFO - Epoch(val) [27][860/2475] eta: 0:02:26 time: 0.0907 data_time: 0.0701 memory: 564 2022/07/31 20:39:37 - mmengine - INFO - Epoch(val) [27][880/2475] eta: 0:01:42 time: 0.0643 data_time: 0.0464 memory: 564 2022/07/31 20:39:39 - mmengine - INFO - Epoch(val) [27][900/2475] eta: 0:02:29 time: 0.0950 data_time: 0.0784 memory: 564 2022/07/31 20:39:41 - mmengine - INFO - Epoch(val) [27][920/2475] eta: 0:01:41 time: 0.0653 data_time: 0.0487 memory: 564 2022/07/31 20:39:42 - mmengine - INFO - Epoch(val) [27][940/2475] eta: 0:02:28 time: 0.0966 data_time: 0.0791 memory: 564 2022/07/31 20:39:44 - mmengine - INFO - Epoch(val) [27][960/2475] eta: 0:01:44 time: 0.0688 data_time: 0.0496 memory: 564 2022/07/31 20:39:46 - mmengine - INFO - Epoch(val) [27][980/2475] eta: 0:02:17 time: 0.0919 data_time: 0.0742 memory: 564 2022/07/31 20:39:47 - mmengine - INFO - Epoch(val) [27][1000/2475] eta: 0:01:38 time: 0.0669 data_time: 0.0483 memory: 564 2022/07/31 20:39:49 - mmengine - INFO - Epoch(val) [27][1020/2475] eta: 0:02:21 time: 0.0974 data_time: 0.0796 memory: 564 2022/07/31 20:39:50 - mmengine - INFO - Epoch(val) [27][1040/2475] eta: 0:01:32 time: 0.0646 data_time: 0.0464 memory: 564 2022/07/31 20:39:52 - mmengine - INFO - Epoch(val) [27][1060/2475] eta: 0:02:13 time: 0.0944 data_time: 0.0765 memory: 564 2022/07/31 20:39:54 - mmengine - INFO - Epoch(val) [27][1080/2475] eta: 0:01:41 time: 0.0725 data_time: 0.0541 memory: 564 2022/07/31 20:39:55 - mmengine - INFO - Epoch(val) [27][1100/2475] eta: 0:01:58 time: 0.0861 data_time: 0.0653 memory: 564 2022/07/31 20:39:57 - mmengine - INFO - Epoch(val) [27][1120/2475] eta: 0:01:47 time: 0.0792 data_time: 0.0566 memory: 564 2022/07/31 20:39:59 - mmengine - INFO - Epoch(val) [27][1140/2475] eta: 0:01:53 time: 0.0852 data_time: 0.0653 memory: 564 2022/07/31 20:40:00 - mmengine - INFO - Epoch(val) [27][1160/2475] eta: 0:01:34 time: 0.0716 data_time: 0.0522 memory: 564 2022/07/31 20:40:02 - mmengine - INFO - Epoch(val) [27][1180/2475] eta: 0:02:02 time: 0.0950 data_time: 0.0772 memory: 564 2022/07/31 20:40:04 - mmengine - INFO - Epoch(val) [27][1200/2475] eta: 0:01:55 time: 0.0903 data_time: 0.0733 memory: 564 2022/07/31 20:40:06 - mmengine - INFO - Epoch(val) [27][1220/2475] eta: 0:02:07 time: 0.1012 data_time: 0.0822 memory: 564 2022/07/31 20:40:07 - mmengine - INFO - Epoch(val) [27][1240/2475] eta: 0:01:20 time: 0.0656 data_time: 0.0454 memory: 564 2022/07/31 20:40:09 - mmengine - INFO - Epoch(val) [27][1260/2475] eta: 0:01:50 time: 0.0906 data_time: 0.0724 memory: 564 2022/07/31 20:40:11 - mmengine - INFO - Epoch(val) [27][1280/2475] eta: 0:01:40 time: 0.0842 data_time: 0.0648 memory: 564 2022/07/31 20:40:12 - mmengine - INFO - Epoch(val) [27][1300/2475] eta: 0:01:38 time: 0.0836 data_time: 0.0629 memory: 564 2022/07/31 20:40:14 - mmengine - INFO - Epoch(val) [27][1320/2475] eta: 0:01:38 time: 0.0854 data_time: 0.0644 memory: 564 2022/07/31 20:40:16 - mmengine - INFO - Epoch(val) [27][1340/2475] eta: 0:01:36 time: 0.0850 data_time: 0.0661 memory: 564 2022/07/31 20:40:17 - mmengine - INFO - Epoch(val) [27][1360/2475] eta: 0:01:13 time: 0.0657 data_time: 0.0459 memory: 564 2022/07/31 20:40:19 - mmengine - INFO - Epoch(val) [27][1380/2475] eta: 0:01:46 time: 0.0977 data_time: 0.0784 memory: 564 2022/07/31 20:40:20 - mmengine - INFO - Epoch(val) [27][1400/2475] eta: 0:01:10 time: 0.0658 data_time: 0.0477 memory: 564 2022/07/31 20:40:22 - mmengine - INFO - Epoch(val) [27][1420/2475] eta: 0:01:44 time: 0.0994 data_time: 0.0781 memory: 564 2022/07/31 20:40:24 - mmengine - INFO - Epoch(val) [27][1440/2475] eta: 0:01:17 time: 0.0746 data_time: 0.0523 memory: 564 2022/07/31 20:40:26 - mmengine - INFO - Epoch(val) [27][1460/2475] eta: 0:01:56 time: 0.1150 data_time: 0.0943 memory: 564 2022/07/31 20:40:27 - mmengine - INFO - Epoch(val) [27][1480/2475] eta: 0:01:01 time: 0.0620 data_time: 0.0385 memory: 564 2022/07/31 20:40:29 - mmengine - INFO - Epoch(val) [27][1500/2475] eta: 0:01:27 time: 0.0894 data_time: 0.0676 memory: 564 2022/07/31 20:40:31 - mmengine - INFO - Epoch(val) [27][1520/2475] eta: 0:01:13 time: 0.0772 data_time: 0.0554 memory: 564 2022/07/31 20:40:32 - mmengine - INFO - Epoch(val) [27][1540/2475] eta: 0:01:18 time: 0.0835 data_time: 0.0632 memory: 564 2022/07/31 20:40:34 - mmengine - INFO - Epoch(val) [27][1560/2475] eta: 0:01:01 time: 0.0675 data_time: 0.0482 memory: 564 2022/07/31 20:40:35 - mmengine - INFO - Epoch(val) [27][1580/2475] eta: 0:01:18 time: 0.0874 data_time: 0.0681 memory: 564 2022/07/31 20:40:37 - mmengine - INFO - Epoch(val) [27][1600/2475] eta: 0:01:05 time: 0.0753 data_time: 0.0565 memory: 564 2022/07/31 20:40:39 - mmengine - INFO - Epoch(val) [27][1620/2475] eta: 0:01:20 time: 0.0938 data_time: 0.0763 memory: 564 2022/07/31 20:40:40 - mmengine - INFO - Epoch(val) [27][1640/2475] eta: 0:01:03 time: 0.0756 data_time: 0.0556 memory: 564 2022/07/31 20:40:42 - mmengine - INFO - Epoch(val) [27][1660/2475] eta: 0:01:04 time: 0.0794 data_time: 0.0601 memory: 564 2022/07/31 20:40:43 - mmengine - INFO - Epoch(val) [27][1680/2475] eta: 0:01:01 time: 0.0775 data_time: 0.0581 memory: 564 2022/07/31 20:40:45 - mmengine - INFO - Epoch(val) [27][1700/2475] eta: 0:01:09 time: 0.0892 data_time: 0.0710 memory: 564 2022/07/31 20:40:47 - mmengine - INFO - Epoch(val) [27][1720/2475] eta: 0:01:14 time: 0.0983 data_time: 0.0615 memory: 564 2022/07/31 20:40:49 - mmengine - INFO - Epoch(val) [27][1740/2475] eta: 0:00:47 time: 0.0642 data_time: 0.0427 memory: 564 2022/07/31 20:40:50 - mmengine - INFO - Epoch(val) [27][1760/2475] eta: 0:01:06 time: 0.0929 data_time: 0.0719 memory: 564 2022/07/31 20:40:52 - mmengine - INFO - Epoch(val) [27][1780/2475] eta: 0:00:47 time: 0.0676 data_time: 0.0476 memory: 564 2022/07/31 20:40:54 - mmengine - INFO - Epoch(val) [27][1800/2475] eta: 0:01:05 time: 0.0970 data_time: 0.0781 memory: 564 2022/07/31 20:40:55 - mmengine - INFO - Epoch(val) [27][1820/2475] eta: 0:00:31 time: 0.0486 data_time: 0.0300 memory: 564 2022/07/31 20:40:57 - mmengine - INFO - Epoch(val) [27][1840/2475] eta: 0:01:00 time: 0.0954 data_time: 0.0765 memory: 564 2022/07/31 20:40:58 - mmengine - INFO - Epoch(val) [27][1860/2475] eta: 0:00:38 time: 0.0630 data_time: 0.0427 memory: 564 2022/07/31 20:41:00 - mmengine - INFO - Epoch(val) [27][1880/2475] eta: 0:00:50 time: 0.0856 data_time: 0.0619 memory: 564 2022/07/31 20:41:01 - mmengine - INFO - Epoch(val) [27][1900/2475] eta: 0:00:45 time: 0.0793 data_time: 0.0575 memory: 564 2022/07/31 20:41:03 - mmengine - INFO - Epoch(val) [27][1920/2475] eta: 0:00:42 time: 0.0770 data_time: 0.0581 memory: 564 2022/07/31 20:41:04 - mmengine - INFO - Epoch(val) [27][1940/2475] eta: 0:00:40 time: 0.0751 data_time: 0.0567 memory: 564 2022/07/31 20:41:06 - mmengine - INFO - Epoch(val) [27][1960/2475] eta: 0:00:44 time: 0.0855 data_time: 0.0673 memory: 564 2022/07/31 20:41:07 - mmengine - INFO - Epoch(val) [27][1980/2475] eta: 0:00:36 time: 0.0741 data_time: 0.0534 memory: 564 2022/07/31 20:41:09 - mmengine - INFO - Epoch(val) [27][2000/2475] eta: 0:00:41 time: 0.0871 data_time: 0.0675 memory: 564 2022/07/31 20:41:11 - mmengine - INFO - Epoch(val) [27][2020/2475] eta: 0:00:31 time: 0.0696 data_time: 0.0492 memory: 564 2022/07/31 20:41:12 - mmengine - INFO - Epoch(val) [27][2040/2475] eta: 0:00:38 time: 0.0894 data_time: 0.0705 memory: 564 2022/07/31 20:41:14 - mmengine - INFO - Epoch(val) [27][2060/2475] eta: 0:00:30 time: 0.0735 data_time: 0.0540 memory: 564 2022/07/31 20:41:15 - mmengine - INFO - Epoch(val) [27][2080/2475] eta: 0:00:32 time: 0.0827 data_time: 0.0641 memory: 564 2022/07/31 20:41:17 - mmengine - INFO - Epoch(val) [27][2100/2475] eta: 0:00:29 time: 0.0774 data_time: 0.0584 memory: 564 2022/07/31 20:41:19 - mmengine - INFO - Epoch(val) [27][2120/2475] eta: 0:00:30 time: 0.0867 data_time: 0.0684 memory: 564 2022/07/31 20:41:20 - mmengine - INFO - Epoch(val) [27][2140/2475] eta: 0:00:22 time: 0.0681 data_time: 0.0491 memory: 564 2022/07/31 20:41:22 - mmengine - INFO - Epoch(val) [27][2160/2475] eta: 0:00:28 time: 0.0905 data_time: 0.0724 memory: 564 2022/07/31 20:41:23 - mmengine - INFO - Epoch(val) [27][2180/2475] eta: 0:00:22 time: 0.0750 data_time: 0.0568 memory: 564 2022/07/31 20:41:25 - mmengine - INFO - Epoch(val) [27][2200/2475] eta: 0:00:23 time: 0.0861 data_time: 0.0655 memory: 564 2022/07/31 20:41:27 - mmengine - INFO - Epoch(val) [27][2220/2475] eta: 0:00:21 time: 0.0840 data_time: 0.0509 memory: 564 2022/07/31 20:41:28 - mmengine - INFO - Epoch(val) [27][2240/2475] eta: 0:00:18 time: 0.0778 data_time: 0.0544 memory: 564 2022/07/31 20:41:30 - mmengine - INFO - Epoch(val) [27][2260/2475] eta: 0:00:19 time: 0.0903 data_time: 0.0705 memory: 564 2022/07/31 20:41:32 - mmengine - INFO - Epoch(val) [27][2280/2475] eta: 0:00:14 time: 0.0756 data_time: 0.0566 memory: 564 2022/07/31 20:41:33 - mmengine - INFO - Epoch(val) [27][2300/2475] eta: 0:00:13 time: 0.0791 data_time: 0.0584 memory: 564 2022/07/31 20:41:35 - mmengine - INFO - Epoch(val) [27][2320/2475] eta: 0:00:12 time: 0.0814 data_time: 0.0621 memory: 564 2022/07/31 20:41:37 - mmengine - INFO - Epoch(val) [27][2340/2475] eta: 0:00:10 time: 0.0809 data_time: 0.0630 memory: 564 2022/07/31 20:41:38 - mmengine - INFO - Epoch(val) [27][2360/2475] eta: 0:00:09 time: 0.0822 data_time: 0.0630 memory: 564 2022/07/31 20:41:40 - mmengine - INFO - Epoch(val) [27][2380/2475] eta: 0:00:06 time: 0.0681 data_time: 0.0496 memory: 564 2022/07/31 20:41:42 - mmengine - INFO - Epoch(val) [27][2400/2475] eta: 0:00:07 time: 0.1018 data_time: 0.0822 memory: 564 2022/07/31 20:41:43 - mmengine - INFO - Epoch(val) [27][2420/2475] eta: 0:00:04 time: 0.0741 data_time: 0.0515 memory: 564 2022/07/31 20:41:45 - mmengine - INFO - Epoch(val) [27][2440/2475] eta: 0:00:03 time: 0.0942 data_time: 0.0743 memory: 564 2022/07/31 20:41:46 - mmengine - INFO - Epoch(val) [27][2460/2475] eta: 0:00:00 time: 0.0667 data_time: 0.0455 memory: 564 2022/07/31 20:41:49 - mmengine - INFO - Epoch(val) [27][2475/2475] acc/top1: 0.6767 acc/top5: 0.8763 acc/mean1: 0.6767 2022/07/31 20:41:49 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_25.pth is removed 2022/07/31 20:41:51 - mmengine - INFO - The best checkpoint with 0.6767 acc/top1 at 28 epoch is saved to best_acc/top1_epoch_28.pth. 2022/07/31 20:42:17 - mmengine - INFO - Epoch(train) [28][20/2505] lr: 5.0000e-04 eta: 21:11:01 time: 1.3135 data_time: 0.9073 memory: 22238 grad_norm: 19.6629 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5546 loss: 1.5546 2022/07/31 20:42:34 - mmengine - INFO - Epoch(train) [28][40/2505] lr: 5.0000e-04 eta: 21:10:39 time: 0.8756 data_time: 0.4860 memory: 22238 grad_norm: 18.8257 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7273 loss: 1.7273 2022/07/31 20:42:57 - mmengine - INFO - Epoch(train) [28][60/2505] lr: 5.0000e-04 eta: 21:10:22 time: 1.1337 data_time: 0.7301 memory: 22238 grad_norm: 19.8586 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5391 loss: 1.5391 2022/07/31 20:43:14 - mmengine - INFO - Epoch(train) [28][80/2505] lr: 5.0000e-04 eta: 21:10:00 time: 0.8602 data_time: 0.4617 memory: 22238 grad_norm: 18.4492 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5209 loss: 1.5209 2022/07/31 20:43:36 - mmengine - INFO - Epoch(train) [28][100/2505] lr: 5.0000e-04 eta: 21:09:42 time: 1.0568 data_time: 0.6582 memory: 22238 grad_norm: 19.8679 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6424 loss: 1.6424 2022/07/31 20:43:53 - mmengine - INFO - Epoch(train) [28][120/2505] lr: 5.0000e-04 eta: 21:09:19 time: 0.8542 data_time: 0.4598 memory: 22238 grad_norm: 19.0306 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7126 loss: 1.7126 2022/07/31 20:44:14 - mmengine - INFO - Epoch(train) [28][140/2505] lr: 5.0000e-04 eta: 21:09:02 time: 1.0718 data_time: 0.6567 memory: 22238 grad_norm: 19.1848 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6729 loss: 1.6729 2022/07/31 20:44:32 - mmengine - INFO - Epoch(train) [28][160/2505] lr: 5.0000e-04 eta: 21:08:40 time: 0.8741 data_time: 0.4576 memory: 22238 grad_norm: 19.0877 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.5170 loss: 1.5170 2022/07/31 20:44:53 - mmengine - INFO - Epoch(train) [28][180/2505] lr: 5.0000e-04 eta: 21:08:23 time: 1.0954 data_time: 0.4408 memory: 22238 grad_norm: 19.0992 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4469 loss: 1.4469 2022/07/31 20:45:11 - mmengine - INFO - Epoch(train) [28][200/2505] lr: 5.0000e-04 eta: 21:08:01 time: 0.8904 data_time: 0.3283 memory: 22238 grad_norm: 19.1367 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7307 loss: 1.7307 2022/07/31 20:45:33 - mmengine - INFO - Epoch(train) [28][220/2505] lr: 5.0000e-04 eta: 21:07:44 time: 1.0813 data_time: 0.5305 memory: 22238 grad_norm: 18.9875 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6663 loss: 1.6663 2022/07/31 20:45:50 - mmengine - INFO - Epoch(train) [28][240/2505] lr: 5.0000e-04 eta: 21:07:21 time: 0.8622 data_time: 0.3844 memory: 22238 grad_norm: 19.5220 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6830 loss: 1.6830 2022/07/31 20:46:12 - mmengine - INFO - Epoch(train) [28][260/2505] lr: 5.0000e-04 eta: 21:07:04 time: 1.1060 data_time: 0.4807 memory: 22238 grad_norm: 20.0815 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4504 loss: 1.4504 2022/07/31 20:46:30 - mmengine - INFO - Epoch(train) [28][280/2505] lr: 5.0000e-04 eta: 21:06:42 time: 0.8845 data_time: 0.3228 memory: 22238 grad_norm: 19.2053 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7714 loss: 1.7714 2022/07/31 20:46:51 - mmengine - INFO - Epoch(train) [28][300/2505] lr: 5.0000e-04 eta: 21:06:24 time: 1.0401 data_time: 0.5153 memory: 22238 grad_norm: 19.2331 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3908 loss: 1.3908 2022/07/31 20:47:09 - mmengine - INFO - Epoch(train) [28][320/2505] lr: 5.0000e-04 eta: 21:06:03 time: 0.9038 data_time: 0.4251 memory: 22238 grad_norm: 18.9226 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4006 loss: 1.4006 2022/07/31 20:47:31 - mmengine - INFO - Epoch(train) [28][340/2505] lr: 5.0000e-04 eta: 21:05:46 time: 1.0954 data_time: 0.5163 memory: 22238 grad_norm: 18.5265 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5233 loss: 1.5233 2022/07/31 20:47:49 - mmengine - INFO - Epoch(train) [28][360/2505] lr: 5.0000e-04 eta: 21:05:24 time: 0.9019 data_time: 0.4041 memory: 22238 grad_norm: 18.8289 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5874 loss: 1.5874 2022/07/31 20:47:55 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 20:48:10 - mmengine - INFO - Epoch(train) [28][380/2505] lr: 5.0000e-04 eta: 21:05:07 time: 1.0729 data_time: 0.5343 memory: 22238 grad_norm: 19.0892 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5212 loss: 1.5212 2022/07/31 20:48:28 - mmengine - INFO - Epoch(train) [28][400/2505] lr: 5.0000e-04 eta: 21:04:45 time: 0.9089 data_time: 0.4536 memory: 22238 grad_norm: 19.1139 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2972 loss: 1.2972 2022/07/31 20:48:51 - mmengine - INFO - Epoch(train) [28][420/2505] lr: 5.0000e-04 eta: 21:04:29 time: 1.1281 data_time: 0.6726 memory: 22238 grad_norm: 18.7175 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6243 loss: 1.6243 2022/07/31 20:49:09 - mmengine - INFO - Epoch(train) [28][440/2505] lr: 5.0000e-04 eta: 21:04:07 time: 0.8794 data_time: 0.4281 memory: 22238 grad_norm: 19.1842 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4304 loss: 1.4304 2022/07/31 20:49:30 - mmengine - INFO - Epoch(train) [28][460/2505] lr: 5.0000e-04 eta: 21:03:49 time: 1.0465 data_time: 0.4828 memory: 22238 grad_norm: 19.0125 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7302 loss: 1.7302 2022/07/31 20:49:47 - mmengine - INFO - Epoch(train) [28][480/2505] lr: 5.0000e-04 eta: 21:03:26 time: 0.8487 data_time: 0.2930 memory: 22238 grad_norm: 19.6647 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6616 loss: 1.6616 2022/07/31 20:50:09 - mmengine - INFO - Epoch(train) [28][500/2505] lr: 5.0000e-04 eta: 21:03:10 time: 1.1293 data_time: 0.5091 memory: 22238 grad_norm: 19.3893 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5922 loss: 1.5922 2022/07/31 20:50:26 - mmengine - INFO - Epoch(train) [28][520/2505] lr: 5.0000e-04 eta: 21:02:47 time: 0.8312 data_time: 0.3492 memory: 22238 grad_norm: 18.5913 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5276 loss: 1.5276 2022/07/31 20:50:48 - mmengine - INFO - Epoch(train) [28][540/2505] lr: 5.0000e-04 eta: 21:02:30 time: 1.1093 data_time: 0.5896 memory: 22238 grad_norm: 18.0966 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5809 loss: 1.5809 2022/07/31 20:51:05 - mmengine - INFO - Epoch(train) [28][560/2505] lr: 5.0000e-04 eta: 21:02:07 time: 0.8589 data_time: 0.2950 memory: 22238 grad_norm: 18.2888 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5950 loss: 1.5950 2022/07/31 20:51:27 - mmengine - INFO - Epoch(train) [28][580/2505] lr: 5.0000e-04 eta: 21:01:51 time: 1.1072 data_time: 0.3525 memory: 22238 grad_norm: 19.5432 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7027 loss: 1.7027 2022/07/31 20:51:44 - mmengine - INFO - Epoch(train) [28][600/2505] lr: 5.0000e-04 eta: 21:01:28 time: 0.8532 data_time: 0.1956 memory: 22238 grad_norm: 19.8057 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6331 loss: 1.6331 2022/07/31 20:52:06 - mmengine - INFO - Epoch(train) [28][620/2505] lr: 5.0000e-04 eta: 21:01:11 time: 1.0848 data_time: 0.3477 memory: 22238 grad_norm: 19.4852 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.5928 loss: 1.5928 2022/07/31 20:52:24 - mmengine - INFO - Epoch(train) [28][640/2505] lr: 5.0000e-04 eta: 21:00:49 time: 0.8713 data_time: 0.1972 memory: 22238 grad_norm: 19.7639 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3191 loss: 1.3191 2022/07/31 20:52:45 - mmengine - INFO - Epoch(train) [28][660/2505] lr: 5.0000e-04 eta: 21:00:31 time: 1.0765 data_time: 0.2256 memory: 22238 grad_norm: 18.6927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7764 loss: 1.7764 2022/07/31 20:53:03 - mmengine - INFO - Epoch(train) [28][680/2505] lr: 5.0000e-04 eta: 21:00:09 time: 0.8861 data_time: 0.2103 memory: 22238 grad_norm: 19.1563 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6595 loss: 1.6595 2022/07/31 20:53:25 - mmengine - INFO - Epoch(train) [28][700/2505] lr: 5.0000e-04 eta: 20:59:52 time: 1.0999 data_time: 0.2661 memory: 22238 grad_norm: 19.9297 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7730 loss: 1.7730 2022/07/31 20:53:43 - mmengine - INFO - Epoch(train) [28][720/2505] lr: 5.0000e-04 eta: 20:59:31 time: 0.8902 data_time: 0.2075 memory: 22238 grad_norm: 19.8508 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6775 loss: 1.6775 2022/07/31 20:54:04 - mmengine - INFO - Epoch(train) [28][740/2505] lr: 5.0000e-04 eta: 20:59:13 time: 1.0906 data_time: 0.2120 memory: 22238 grad_norm: 18.9943 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7321 loss: 1.7321 2022/07/31 20:54:22 - mmengine - INFO - Epoch(train) [28][760/2505] lr: 5.0000e-04 eta: 20:58:51 time: 0.8708 data_time: 0.1604 memory: 22238 grad_norm: 18.7239 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7786 loss: 1.7786 2022/07/31 20:54:44 - mmengine - INFO - Epoch(train) [28][780/2505] lr: 5.0000e-04 eta: 20:58:35 time: 1.1292 data_time: 0.3327 memory: 22238 grad_norm: 20.1081 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4207 loss: 1.4207 2022/07/31 20:55:02 - mmengine - INFO - Epoch(train) [28][800/2505] lr: 5.0000e-04 eta: 20:58:13 time: 0.8653 data_time: 0.1499 memory: 22238 grad_norm: 18.8616 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6514 loss: 1.6514 2022/07/31 20:55:25 - mmengine - INFO - Epoch(train) [28][820/2505] lr: 5.0000e-04 eta: 20:57:57 time: 1.1476 data_time: 0.2062 memory: 22238 grad_norm: 19.4259 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5169 loss: 1.5169 2022/07/31 20:55:42 - mmengine - INFO - Epoch(train) [28][840/2505] lr: 5.0000e-04 eta: 20:57:34 time: 0.8529 data_time: 0.1545 memory: 22238 grad_norm: 18.9816 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4324 loss: 1.4324 2022/07/31 20:56:03 - mmengine - INFO - Epoch(train) [28][860/2505] lr: 5.0000e-04 eta: 20:57:17 time: 1.0832 data_time: 0.2509 memory: 22238 grad_norm: 19.7403 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5985 loss: 1.5985 2022/07/31 20:56:22 - mmengine - INFO - Epoch(train) [28][880/2505] lr: 5.0000e-04 eta: 20:56:55 time: 0.9106 data_time: 0.1850 memory: 22238 grad_norm: 19.0783 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7755 loss: 1.7755 2022/07/31 20:56:42 - mmengine - INFO - Epoch(train) [28][900/2505] lr: 5.0000e-04 eta: 20:56:37 time: 1.0322 data_time: 0.1612 memory: 22238 grad_norm: 18.4926 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5964 loss: 1.5964 2022/07/31 20:57:01 - mmengine - INFO - Epoch(train) [28][920/2505] lr: 5.0000e-04 eta: 20:56:17 time: 0.9569 data_time: 0.0308 memory: 22238 grad_norm: 19.7467 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5637 loss: 1.5637 2022/07/31 20:57:22 - mmengine - INFO - Epoch(train) [28][940/2505] lr: 5.0000e-04 eta: 20:55:59 time: 1.0514 data_time: 0.0304 memory: 22238 grad_norm: 19.4337 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6287 loss: 1.6287 2022/07/31 20:57:41 - mmengine - INFO - Epoch(train) [28][960/2505] lr: 5.0000e-04 eta: 20:55:37 time: 0.9157 data_time: 0.0348 memory: 22238 grad_norm: 20.0168 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.5127 loss: 1.5127 2022/07/31 20:58:01 - mmengine - INFO - Epoch(train) [28][980/2505] lr: 5.0000e-04 eta: 20:55:18 time: 0.9901 data_time: 0.0302 memory: 22238 grad_norm: 19.0154 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5531 loss: 1.5531 2022/07/31 20:58:20 - mmengine - INFO - Epoch(train) [28][1000/2505] lr: 5.0000e-04 eta: 20:54:59 time: 0.9954 data_time: 0.0284 memory: 22238 grad_norm: 18.8475 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5981 loss: 1.5981 2022/07/31 20:58:41 - mmengine - INFO - Epoch(train) [28][1020/2505] lr: 5.0000e-04 eta: 20:54:40 time: 1.0253 data_time: 0.0443 memory: 22238 grad_norm: 19.1504 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3773 loss: 1.3773 2022/07/31 20:58:59 - mmengine - INFO - Epoch(train) [28][1040/2505] lr: 5.0000e-04 eta: 20:54:18 time: 0.8949 data_time: 0.0304 memory: 22238 grad_norm: 19.2930 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6513 loss: 1.6513 2022/07/31 20:59:21 - mmengine - INFO - Epoch(train) [28][1060/2505] lr: 5.0000e-04 eta: 20:54:02 time: 1.1255 data_time: 0.0306 memory: 22238 grad_norm: 19.3082 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5423 loss: 1.5423 2022/07/31 20:59:38 - mmengine - INFO - Epoch(train) [28][1080/2505] lr: 5.0000e-04 eta: 20:53:39 time: 0.8483 data_time: 0.0309 memory: 22238 grad_norm: 19.2789 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3911 loss: 1.3911 2022/07/31 21:00:00 - mmengine - INFO - Epoch(train) [28][1100/2505] lr: 5.0000e-04 eta: 20:53:22 time: 1.0996 data_time: 0.0319 memory: 22238 grad_norm: 20.3256 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.6350 loss: 1.6350 2022/07/31 21:00:18 - mmengine - INFO - Epoch(train) [28][1120/2505] lr: 5.0000e-04 eta: 20:53:00 time: 0.8586 data_time: 0.0290 memory: 22238 grad_norm: 18.5736 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3492 loss: 1.3492 2022/07/31 21:00:39 - mmengine - INFO - Epoch(train) [28][1140/2505] lr: 5.0000e-04 eta: 20:52:42 time: 1.0761 data_time: 0.0304 memory: 22238 grad_norm: 20.2063 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.6881 loss: 1.6881 2022/07/31 21:00:57 - mmengine - INFO - Epoch(train) [28][1160/2505] lr: 5.0000e-04 eta: 20:52:21 time: 0.8956 data_time: 0.0298 memory: 22238 grad_norm: 19.1747 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5951 loss: 1.5951 2022/07/31 21:01:18 - mmengine - INFO - Epoch(train) [28][1180/2505] lr: 5.0000e-04 eta: 20:52:03 time: 1.0475 data_time: 0.0297 memory: 22238 grad_norm: 20.2838 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5591 loss: 1.5591 2022/07/31 21:01:35 - mmengine - INFO - Epoch(train) [28][1200/2505] lr: 5.0000e-04 eta: 20:51:40 time: 0.8648 data_time: 0.0275 memory: 22238 grad_norm: 18.9011 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6136 loss: 1.6136 2022/07/31 21:01:56 - mmengine - INFO - Epoch(train) [28][1220/2505] lr: 5.0000e-04 eta: 20:51:22 time: 1.0331 data_time: 0.0771 memory: 22238 grad_norm: 19.0808 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4993 loss: 1.4993 2022/07/31 21:02:15 - mmengine - INFO - Epoch(train) [28][1240/2505] lr: 5.0000e-04 eta: 20:51:02 time: 0.9754 data_time: 0.0852 memory: 22238 grad_norm: 19.1831 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.5924 loss: 1.5924 2022/07/31 21:02:35 - mmengine - INFO - Epoch(train) [28][1260/2505] lr: 5.0000e-04 eta: 20:50:42 time: 0.9727 data_time: 0.1485 memory: 22238 grad_norm: 18.8374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5280 loss: 1.5280 2022/07/31 21:02:55 - mmengine - INFO - Epoch(train) [28][1280/2505] lr: 5.0000e-04 eta: 20:50:23 time: 1.0084 data_time: 0.0497 memory: 22238 grad_norm: 18.6907 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6882 loss: 1.6882 2022/07/31 21:03:15 - mmengine - INFO - Epoch(train) [28][1300/2505] lr: 5.0000e-04 eta: 20:50:03 time: 0.9814 data_time: 0.0561 memory: 22238 grad_norm: 18.8379 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6968 loss: 1.6968 2022/07/31 21:03:34 - mmengine - INFO - Epoch(train) [28][1320/2505] lr: 5.0000e-04 eta: 20:49:43 time: 0.9522 data_time: 0.0279 memory: 22238 grad_norm: 19.3255 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5151 loss: 1.5151 2022/07/31 21:03:54 - mmengine - INFO - Epoch(train) [28][1340/2505] lr: 5.0000e-04 eta: 20:49:24 time: 1.0235 data_time: 0.0300 memory: 22238 grad_norm: 19.6644 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4135 loss: 1.4135 2022/07/31 21:04:13 - mmengine - INFO - Epoch(train) [28][1360/2505] lr: 5.0000e-04 eta: 20:49:03 time: 0.9272 data_time: 0.0296 memory: 22238 grad_norm: 18.8225 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5078 loss: 1.5078 2022/07/31 21:04:19 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 21:04:33 - mmengine - INFO - Epoch(train) [28][1380/2505] lr: 5.0000e-04 eta: 20:48:45 time: 1.0364 data_time: 0.0314 memory: 22238 grad_norm: 19.1220 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6072 loss: 1.6072 2022/07/31 21:04:51 - mmengine - INFO - Epoch(train) [28][1400/2505] lr: 5.0000e-04 eta: 20:48:23 time: 0.8879 data_time: 0.0284 memory: 22238 grad_norm: 18.6782 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5996 loss: 1.5996 2022/07/31 21:05:12 - mmengine - INFO - Epoch(train) [28][1420/2505] lr: 5.0000e-04 eta: 20:48:05 time: 1.0607 data_time: 0.0321 memory: 22238 grad_norm: 19.0383 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6717 loss: 1.6717 2022/07/31 21:05:31 - mmengine - INFO - Epoch(train) [28][1440/2505] lr: 5.0000e-04 eta: 20:47:45 time: 0.9411 data_time: 0.0310 memory: 22238 grad_norm: 18.1764 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4287 loss: 1.4287 2022/07/31 21:05:51 - mmengine - INFO - Epoch(train) [28][1460/2505] lr: 5.0000e-04 eta: 20:47:25 time: 0.9885 data_time: 0.0325 memory: 22238 grad_norm: 19.5682 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5239 loss: 1.5239 2022/07/31 21:06:10 - mmengine - INFO - Epoch(train) [28][1480/2505] lr: 5.0000e-04 eta: 20:47:05 time: 0.9593 data_time: 0.0280 memory: 22238 grad_norm: 18.9896 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5531 loss: 1.5531 2022/07/31 21:06:30 - mmengine - INFO - Epoch(train) [28][1500/2505] lr: 5.0000e-04 eta: 20:46:45 time: 0.9820 data_time: 0.0301 memory: 22238 grad_norm: 19.4597 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5859 loss: 1.5859 2022/07/31 21:06:49 - mmengine - INFO - Epoch(train) [28][1520/2505] lr: 5.0000e-04 eta: 20:46:25 time: 0.9494 data_time: 0.0298 memory: 22238 grad_norm: 18.8921 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.3865 loss: 1.3865 2022/07/31 21:07:09 - mmengine - INFO - Epoch(train) [28][1540/2505] lr: 5.0000e-04 eta: 20:46:06 time: 1.0166 data_time: 0.0315 memory: 22238 grad_norm: 18.8734 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.4573 loss: 1.4573 2022/07/31 21:07:28 - mmengine - INFO - Epoch(train) [28][1560/2505] lr: 5.0000e-04 eta: 20:45:45 time: 0.9246 data_time: 0.0301 memory: 22238 grad_norm: 19.2069 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3912 loss: 1.3912 2022/07/31 21:07:49 - mmengine - INFO - Epoch(train) [28][1580/2505] lr: 5.0000e-04 eta: 20:45:28 time: 1.0719 data_time: 0.0298 memory: 22238 grad_norm: 18.5203 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5075 loss: 1.5075 2022/07/31 21:08:07 - mmengine - INFO - Epoch(train) [28][1600/2505] lr: 5.0000e-04 eta: 20:45:05 time: 0.8665 data_time: 0.0281 memory: 22238 grad_norm: 19.5075 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5005 loss: 1.5005 2022/07/31 21:08:28 - mmengine - INFO - Epoch(train) [28][1620/2505] lr: 5.0000e-04 eta: 20:44:47 time: 1.0490 data_time: 0.0310 memory: 22238 grad_norm: 19.0345 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6347 loss: 1.6347 2022/07/31 21:08:45 - mmengine - INFO - Epoch(train) [28][1640/2505] lr: 5.0000e-04 eta: 20:44:25 time: 0.8662 data_time: 0.0337 memory: 22238 grad_norm: 19.9468 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7393 loss: 1.7393 2022/07/31 21:09:08 - mmengine - INFO - Epoch(train) [28][1660/2505] lr: 5.0000e-04 eta: 20:44:10 time: 1.1831 data_time: 0.0328 memory: 22238 grad_norm: 18.6769 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5613 loss: 1.5613 2022/07/31 21:09:26 - mmengine - INFO - Epoch(train) [28][1680/2505] lr: 5.0000e-04 eta: 20:43:48 time: 0.8621 data_time: 0.0289 memory: 22238 grad_norm: 19.6909 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6010 loss: 1.6010 2022/07/31 21:09:48 - mmengine - INFO - Epoch(train) [28][1700/2505] lr: 5.0000e-04 eta: 20:43:30 time: 1.0960 data_time: 0.0309 memory: 22238 grad_norm: 19.2963 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6378 loss: 1.6378 2022/07/31 21:10:05 - mmengine - INFO - Epoch(train) [28][1720/2505] lr: 5.0000e-04 eta: 20:43:08 time: 0.8473 data_time: 0.0284 memory: 22238 grad_norm: 18.9487 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2175 loss: 1.2175 2022/07/31 21:10:27 - mmengine - INFO - Epoch(train) [28][1740/2505] lr: 5.0000e-04 eta: 20:42:51 time: 1.1067 data_time: 0.0305 memory: 22238 grad_norm: 18.5518 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5570 loss: 1.5570 2022/07/31 21:10:44 - mmengine - INFO - Epoch(train) [28][1760/2505] lr: 5.0000e-04 eta: 20:42:29 time: 0.8727 data_time: 0.0298 memory: 22238 grad_norm: 19.4258 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5076 loss: 1.5076 2022/07/31 21:11:06 - mmengine - INFO - Epoch(train) [28][1780/2505] lr: 5.0000e-04 eta: 20:42:11 time: 1.0864 data_time: 0.0339 memory: 22238 grad_norm: 18.4539 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6514 loss: 1.6514 2022/07/31 21:11:23 - mmengine - INFO - Epoch(train) [28][1800/2505] lr: 5.0000e-04 eta: 20:41:49 time: 0.8643 data_time: 0.0284 memory: 22238 grad_norm: 19.3865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5847 loss: 1.5847 2022/07/31 21:11:44 - mmengine - INFO - Epoch(train) [28][1820/2505] lr: 5.0000e-04 eta: 20:41:31 time: 1.0540 data_time: 0.0308 memory: 22238 grad_norm: 19.2908 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6587 loss: 1.6587 2022/07/31 21:12:01 - mmengine - INFO - Epoch(train) [28][1840/2505] lr: 5.0000e-04 eta: 20:41:08 time: 0.8431 data_time: 0.0274 memory: 22238 grad_norm: 18.1616 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4882 loss: 1.4882 2022/07/31 21:12:23 - mmengine - INFO - Epoch(train) [28][1860/2505] lr: 5.0000e-04 eta: 20:40:51 time: 1.0977 data_time: 0.0289 memory: 22238 grad_norm: 18.2874 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6309 loss: 1.6309 2022/07/31 21:12:40 - mmengine - INFO - Epoch(train) [28][1880/2505] lr: 5.0000e-04 eta: 20:40:29 time: 0.8645 data_time: 0.0296 memory: 22238 grad_norm: 20.3927 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4178 loss: 1.4178 2022/07/31 21:13:02 - mmengine - INFO - Epoch(train) [28][1900/2505] lr: 5.0000e-04 eta: 20:40:12 time: 1.0867 data_time: 0.0316 memory: 22238 grad_norm: 19.3073 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6940 loss: 1.6940 2022/07/31 21:13:20 - mmengine - INFO - Epoch(train) [28][1920/2505] lr: 5.0000e-04 eta: 20:39:50 time: 0.8963 data_time: 0.0280 memory: 22238 grad_norm: 19.7383 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6613 loss: 1.6613 2022/07/31 21:13:43 - mmengine - INFO - Epoch(train) [28][1940/2505] lr: 5.0000e-04 eta: 20:39:34 time: 1.1225 data_time: 0.0311 memory: 22238 grad_norm: 19.3249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6040 loss: 1.6040 2022/07/31 21:13:59 - mmengine - INFO - Epoch(train) [28][1960/2505] lr: 5.0000e-04 eta: 20:39:11 time: 0.8250 data_time: 0.0274 memory: 22238 grad_norm: 19.0946 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7212 loss: 1.7212 2022/07/31 21:14:22 - mmengine - INFO - Epoch(train) [28][1980/2505] lr: 5.0000e-04 eta: 20:38:55 time: 1.1461 data_time: 0.0306 memory: 22238 grad_norm: 18.8333 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2944 loss: 1.2944 2022/07/31 21:14:39 - mmengine - INFO - Epoch(train) [28][2000/2505] lr: 5.0000e-04 eta: 20:38:32 time: 0.8727 data_time: 0.0270 memory: 22238 grad_norm: 20.8035 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4423 loss: 1.4423 2022/07/31 21:15:02 - mmengine - INFO - Epoch(train) [28][2020/2505] lr: 5.0000e-04 eta: 20:38:16 time: 1.1052 data_time: 0.0316 memory: 22238 grad_norm: 19.7786 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4869 loss: 1.4869 2022/07/31 21:15:19 - mmengine - INFO - Epoch(train) [28][2040/2505] lr: 5.0000e-04 eta: 20:37:54 time: 0.8856 data_time: 0.0345 memory: 22238 grad_norm: 19.9077 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7490 loss: 1.7490 2022/07/31 21:15:41 - mmengine - INFO - Epoch(train) [28][2060/2505] lr: 5.0000e-04 eta: 20:37:36 time: 1.0777 data_time: 0.0303 memory: 22238 grad_norm: 18.9537 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7750 loss: 1.7750 2022/07/31 21:15:58 - mmengine - INFO - Epoch(train) [28][2080/2505] lr: 5.0000e-04 eta: 20:37:14 time: 0.8810 data_time: 0.0295 memory: 22238 grad_norm: 18.8520 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7475 loss: 1.7475 2022/07/31 21:16:20 - mmengine - INFO - Epoch(train) [28][2100/2505] lr: 5.0000e-04 eta: 20:36:57 time: 1.0852 data_time: 0.0281 memory: 22238 grad_norm: 19.5614 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4728 loss: 1.4728 2022/07/31 21:16:37 - mmengine - INFO - Epoch(train) [28][2120/2505] lr: 5.0000e-04 eta: 20:36:34 time: 0.8465 data_time: 0.0275 memory: 22238 grad_norm: 18.8759 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5158 loss: 1.5158 2022/07/31 21:16:59 - mmengine - INFO - Epoch(train) [28][2140/2505] lr: 5.0000e-04 eta: 20:36:17 time: 1.0861 data_time: 0.0283 memory: 22238 grad_norm: 19.4375 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6353 loss: 1.6353 2022/07/31 21:17:16 - mmengine - INFO - Epoch(train) [28][2160/2505] lr: 5.0000e-04 eta: 20:35:54 time: 0.8505 data_time: 0.0296 memory: 22238 grad_norm: 19.9572 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7781 loss: 1.7781 2022/07/31 21:17:37 - mmengine - INFO - Epoch(train) [28][2180/2505] lr: 5.0000e-04 eta: 20:35:37 time: 1.0741 data_time: 0.0307 memory: 22238 grad_norm: 18.7003 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4790 loss: 1.4790 2022/07/31 21:17:55 - mmengine - INFO - Epoch(train) [28][2200/2505] lr: 5.0000e-04 eta: 20:35:15 time: 0.8864 data_time: 0.0283 memory: 22238 grad_norm: 18.9115 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5122 loss: 1.5122 2022/07/31 21:18:17 - mmengine - INFO - Epoch(train) [28][2220/2505] lr: 5.0000e-04 eta: 20:34:58 time: 1.0859 data_time: 0.0309 memory: 22238 grad_norm: 19.0071 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5235 loss: 1.5235 2022/07/31 21:18:34 - mmengine - INFO - Epoch(train) [28][2240/2505] lr: 5.0000e-04 eta: 20:34:35 time: 0.8373 data_time: 0.0281 memory: 22238 grad_norm: 19.5775 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7559 loss: 1.7559 2022/07/31 21:18:56 - mmengine - INFO - Epoch(train) [28][2260/2505] lr: 5.0000e-04 eta: 20:34:18 time: 1.1128 data_time: 0.0325 memory: 22238 grad_norm: 19.1315 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6319 loss: 1.6319 2022/07/31 21:19:14 - mmengine - INFO - Epoch(train) [28][2280/2505] lr: 5.0000e-04 eta: 20:33:56 time: 0.8885 data_time: 0.0328 memory: 22238 grad_norm: 18.9974 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5583 loss: 1.5583 2022/07/31 21:19:35 - mmengine - INFO - Epoch(train) [28][2300/2505] lr: 5.0000e-04 eta: 20:33:38 time: 1.0546 data_time: 0.0731 memory: 22238 grad_norm: 19.0676 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6327 loss: 1.6327 2022/07/31 21:19:52 - mmengine - INFO - Epoch(train) [28][2320/2505] lr: 5.0000e-04 eta: 20:33:16 time: 0.8778 data_time: 0.0459 memory: 22238 grad_norm: 19.4101 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5722 loss: 1.5722 2022/07/31 21:20:14 - mmengine - INFO - Epoch(train) [28][2340/2505] lr: 5.0000e-04 eta: 20:32:59 time: 1.0940 data_time: 0.0538 memory: 22238 grad_norm: 19.1251 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6119 loss: 1.6119 2022/07/31 21:20:32 - mmengine - INFO - Epoch(train) [28][2360/2505] lr: 5.0000e-04 eta: 20:32:37 time: 0.8832 data_time: 0.0987 memory: 22238 grad_norm: 19.2942 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9114 loss: 1.9114 2022/07/31 21:20:38 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 21:20:54 - mmengine - INFO - Epoch(train) [28][2380/2505] lr: 5.0000e-04 eta: 20:32:20 time: 1.1022 data_time: 0.0438 memory: 22238 grad_norm: 19.8463 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5766 loss: 1.5766 2022/07/31 21:21:12 - mmengine - INFO - Epoch(train) [28][2400/2505] lr: 5.0000e-04 eta: 20:31:59 time: 0.8860 data_time: 0.0292 memory: 22238 grad_norm: 19.3213 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6383 loss: 1.6383 2022/07/31 21:21:33 - mmengine - INFO - Epoch(train) [28][2420/2505] lr: 5.0000e-04 eta: 20:31:40 time: 1.0528 data_time: 0.0540 memory: 22238 grad_norm: 18.7912 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4139 loss: 1.4139 2022/07/31 21:21:51 - mmengine - INFO - Epoch(train) [28][2440/2505] lr: 5.0000e-04 eta: 20:31:19 time: 0.9146 data_time: 0.1897 memory: 22238 grad_norm: 18.3702 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6316 loss: 1.6316 2022/07/31 21:22:12 - mmengine - INFO - Epoch(train) [28][2460/2505] lr: 5.0000e-04 eta: 20:31:01 time: 1.0325 data_time: 0.1806 memory: 22238 grad_norm: 19.4296 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6913 loss: 1.6913 2022/07/31 21:22:31 - mmengine - INFO - Epoch(train) [28][2480/2505] lr: 5.0000e-04 eta: 20:30:41 time: 0.9766 data_time: 0.2230 memory: 22238 grad_norm: 19.4299 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6372 loss: 1.6372 2022/07/31 21:22:48 - mmengine - INFO - Epoch(train) [28][2500/2505] lr: 5.0000e-04 eta: 20:30:18 time: 0.8249 data_time: 0.0749 memory: 22238 grad_norm: 19.3028 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5705 loss: 1.5705 2022/07/31 21:22:50 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 21:22:50 - mmengine - INFO - Epoch(train) [28][2505/2505] lr: 5.0000e-04 eta: 20:30:18 time: 0.6392 data_time: 0.0614 memory: 22238 grad_norm: 19.4599 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.4800 loss: 1.4800 2022/07/31 21:22:50 - mmengine - INFO - Saving checkpoint at 28 epochs 2022/07/31 21:23:18 - mmengine - INFO - Epoch(train) [29][20/2505] lr: 5.0000e-04 eta: 20:29:55 time: 1.2782 data_time: 0.8799 memory: 22238 grad_norm: 19.1554 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3880 loss: 1.3880 2022/07/31 21:23:35 - mmengine - INFO - Epoch(train) [29][40/2505] lr: 5.0000e-04 eta: 20:29:32 time: 0.8625 data_time: 0.4643 memory: 22238 grad_norm: 19.1773 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5523 loss: 1.5523 2022/07/31 21:23:57 - mmengine - INFO - Epoch(train) [29][60/2505] lr: 5.0000e-04 eta: 20:29:15 time: 1.1062 data_time: 0.7035 memory: 22238 grad_norm: 18.7708 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5551 loss: 1.5551 2022/07/31 21:24:14 - mmengine - INFO - Epoch(train) [29][80/2505] lr: 5.0000e-04 eta: 20:28:53 time: 0.8527 data_time: 0.4625 memory: 22238 grad_norm: 19.5160 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4834 loss: 1.4834 2022/07/31 21:24:36 - mmengine - INFO - Epoch(train) [29][100/2505] lr: 5.0000e-04 eta: 20:28:35 time: 1.0789 data_time: 0.6851 memory: 22238 grad_norm: 19.1919 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4796 loss: 1.4796 2022/07/31 21:24:54 - mmengine - INFO - Epoch(train) [29][120/2505] lr: 5.0000e-04 eta: 20:28:14 time: 0.8937 data_time: 0.4942 memory: 22238 grad_norm: 17.9376 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4774 loss: 1.4774 2022/07/31 21:25:17 - mmengine - INFO - Epoch(train) [29][140/2505] lr: 5.0000e-04 eta: 20:27:58 time: 1.1576 data_time: 0.7578 memory: 22238 grad_norm: 19.1213 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2722 loss: 1.2722 2022/07/31 21:25:33 - mmengine - INFO - Epoch(train) [29][160/2505] lr: 5.0000e-04 eta: 20:27:35 time: 0.8263 data_time: 0.4200 memory: 22238 grad_norm: 19.3390 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7348 loss: 1.7348 2022/07/31 21:25:56 - mmengine - INFO - Epoch(train) [29][180/2505] lr: 5.0000e-04 eta: 20:27:18 time: 1.1116 data_time: 0.7015 memory: 22238 grad_norm: 19.4752 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5682 loss: 1.5682 2022/07/31 21:26:13 - mmengine - INFO - Epoch(train) [29][200/2505] lr: 5.0000e-04 eta: 20:26:56 time: 0.8643 data_time: 0.4487 memory: 22238 grad_norm: 18.5653 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6183 loss: 1.6183 2022/07/31 21:26:35 - mmengine - INFO - Epoch(train) [29][220/2505] lr: 5.0000e-04 eta: 20:26:39 time: 1.1209 data_time: 0.7299 memory: 22238 grad_norm: 19.3158 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4218 loss: 1.4218 2022/07/31 21:26:53 - mmengine - INFO - Epoch(train) [29][240/2505] lr: 5.0000e-04 eta: 20:26:18 time: 0.8843 data_time: 0.4804 memory: 22238 grad_norm: 20.0400 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4361 loss: 1.4361 2022/07/31 21:27:16 - mmengine - INFO - Epoch(train) [29][260/2505] lr: 5.0000e-04 eta: 20:26:01 time: 1.1247 data_time: 0.7159 memory: 22238 grad_norm: 19.1372 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7741 loss: 1.7741 2022/07/31 21:27:33 - mmengine - INFO - Epoch(train) [29][280/2505] lr: 5.0000e-04 eta: 20:25:39 time: 0.8654 data_time: 0.4716 memory: 22238 grad_norm: 19.5473 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5515 loss: 1.5515 2022/07/31 21:27:55 - mmengine - INFO - Epoch(train) [29][300/2505] lr: 5.0000e-04 eta: 20:25:22 time: 1.1146 data_time: 0.7196 memory: 22238 grad_norm: 18.8975 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4506 loss: 1.4506 2022/07/31 21:28:13 - mmengine - INFO - Epoch(train) [29][320/2505] lr: 5.0000e-04 eta: 20:25:00 time: 0.8786 data_time: 0.4727 memory: 22238 grad_norm: 19.2937 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4945 loss: 1.4945 2022/07/31 21:28:35 - mmengine - INFO - Epoch(train) [29][340/2505] lr: 5.0000e-04 eta: 20:24:43 time: 1.1246 data_time: 0.5891 memory: 22238 grad_norm: 18.5759 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6062 loss: 1.6062 2022/07/31 21:28:52 - mmengine - INFO - Epoch(train) [29][360/2505] lr: 5.0000e-04 eta: 20:24:21 time: 0.8441 data_time: 0.3440 memory: 22238 grad_norm: 18.7850 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6958 loss: 1.6958 2022/07/31 21:29:12 - mmengine - INFO - Epoch(train) [29][380/2505] lr: 5.0000e-04 eta: 20:24:02 time: 1.0120 data_time: 0.4399 memory: 22238 grad_norm: 18.8997 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5138 loss: 1.5138 2022/07/31 21:29:31 - mmengine - INFO - Epoch(train) [29][400/2505] lr: 5.0000e-04 eta: 20:23:41 time: 0.9088 data_time: 0.3406 memory: 22238 grad_norm: 19.1689 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5732 loss: 1.5732 2022/07/31 21:29:52 - mmengine - INFO - Epoch(train) [29][420/2505] lr: 5.0000e-04 eta: 20:23:23 time: 1.0740 data_time: 0.2582 memory: 22238 grad_norm: 19.3214 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6635 loss: 1.6635 2022/07/31 21:30:10 - mmengine - INFO - Epoch(train) [29][440/2505] lr: 5.0000e-04 eta: 20:23:01 time: 0.8773 data_time: 0.1647 memory: 22238 grad_norm: 19.8654 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7246 loss: 1.7246 2022/07/31 21:30:32 - mmengine - INFO - Epoch(train) [29][460/2505] lr: 5.0000e-04 eta: 20:22:44 time: 1.1042 data_time: 0.3234 memory: 22238 grad_norm: 18.6630 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4876 loss: 1.4876 2022/07/31 21:30:49 - mmengine - INFO - Epoch(train) [29][480/2505] lr: 5.0000e-04 eta: 20:22:22 time: 0.8837 data_time: 0.2293 memory: 22238 grad_norm: 18.4196 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3594 loss: 1.3594 2022/07/31 21:31:11 - mmengine - INFO - Epoch(train) [29][500/2505] lr: 5.0000e-04 eta: 20:22:05 time: 1.0852 data_time: 0.3293 memory: 22238 grad_norm: 18.3231 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4936 loss: 1.4936 2022/07/31 21:31:29 - mmengine - INFO - Epoch(train) [29][520/2505] lr: 5.0000e-04 eta: 20:21:43 time: 0.8806 data_time: 0.2554 memory: 22238 grad_norm: 19.3995 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6486 loss: 1.6486 2022/07/31 21:31:50 - mmengine - INFO - Epoch(train) [29][540/2505] lr: 5.0000e-04 eta: 20:21:25 time: 1.0794 data_time: 0.2870 memory: 22238 grad_norm: 19.2667 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7646 loss: 1.7646 2022/07/31 21:32:08 - mmengine - INFO - Epoch(train) [29][560/2505] lr: 5.0000e-04 eta: 20:21:03 time: 0.8701 data_time: 0.1381 memory: 22238 grad_norm: 19.2076 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2270 loss: 1.2270 2022/07/31 21:32:30 - mmengine - INFO - Epoch(train) [29][580/2505] lr: 5.0000e-04 eta: 20:20:46 time: 1.1063 data_time: 0.1091 memory: 22238 grad_norm: 19.3319 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8481 loss: 1.8481 2022/07/31 21:32:47 - mmengine - INFO - Epoch(train) [29][600/2505] lr: 5.0000e-04 eta: 20:20:24 time: 0.8623 data_time: 0.0457 memory: 22238 grad_norm: 18.8539 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.5184 loss: 1.5184 2022/07/31 21:33:09 - mmengine - INFO - Epoch(train) [29][620/2505] lr: 5.0000e-04 eta: 20:20:07 time: 1.1030 data_time: 0.0883 memory: 22238 grad_norm: 19.2784 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6992 loss: 1.6992 2022/07/31 21:33:27 - mmengine - INFO - Epoch(train) [29][640/2505] lr: 5.0000e-04 eta: 20:19:45 time: 0.8765 data_time: 0.0853 memory: 22238 grad_norm: 18.8535 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7241 loss: 1.7241 2022/07/31 21:33:49 - mmengine - INFO - Epoch(train) [29][660/2505] lr: 5.0000e-04 eta: 20:19:28 time: 1.0968 data_time: 0.1542 memory: 22238 grad_norm: 18.9879 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6911 loss: 1.6911 2022/07/31 21:34:06 - mmengine - INFO - Epoch(train) [29][680/2505] lr: 5.0000e-04 eta: 20:19:06 time: 0.8643 data_time: 0.1190 memory: 22238 grad_norm: 18.8502 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7696 loss: 1.7696 2022/07/31 21:34:28 - mmengine - INFO - Epoch(train) [29][700/2505] lr: 5.0000e-04 eta: 20:18:49 time: 1.0925 data_time: 0.1084 memory: 22238 grad_norm: 19.4216 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7958 loss: 1.7958 2022/07/31 21:34:46 - mmengine - INFO - Epoch(train) [29][720/2505] lr: 5.0000e-04 eta: 20:18:27 time: 0.8952 data_time: 0.0357 memory: 22238 grad_norm: 18.5600 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7247 loss: 1.7247 2022/07/31 21:35:08 - mmengine - INFO - Epoch(train) [29][740/2505] lr: 5.0000e-04 eta: 20:18:10 time: 1.0959 data_time: 0.0314 memory: 22238 grad_norm: 19.4049 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5562 loss: 1.5562 2022/07/31 21:35:25 - mmengine - INFO - Epoch(train) [29][760/2505] lr: 5.0000e-04 eta: 20:17:48 time: 0.8763 data_time: 0.0275 memory: 22238 grad_norm: 18.6731 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6531 loss: 1.6531 2022/07/31 21:35:47 - mmengine - INFO - Epoch(train) [29][780/2505] lr: 5.0000e-04 eta: 20:17:30 time: 1.0719 data_time: 0.0335 memory: 22238 grad_norm: 19.7654 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5427 loss: 1.5427 2022/07/31 21:36:05 - mmengine - INFO - Epoch(train) [29][800/2505] lr: 5.0000e-04 eta: 20:17:09 time: 0.9016 data_time: 0.0290 memory: 22238 grad_norm: 18.9113 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3797 loss: 1.3797 2022/07/31 21:36:27 - mmengine - INFO - Epoch(train) [29][820/2505] lr: 5.0000e-04 eta: 20:16:52 time: 1.0988 data_time: 0.0331 memory: 22238 grad_norm: 18.7764 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5965 loss: 1.5965 2022/07/31 21:36:44 - mmengine - INFO - Epoch(train) [29][840/2505] lr: 5.0000e-04 eta: 20:16:29 time: 0.8561 data_time: 0.0378 memory: 22238 grad_norm: 19.9876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6119 loss: 1.6119 2022/07/31 21:37:06 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 21:37:06 - mmengine - INFO - Epoch(train) [29][860/2505] lr: 5.0000e-04 eta: 20:16:13 time: 1.1205 data_time: 0.1786 memory: 22238 grad_norm: 19.7771 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4264 loss: 1.4264 2022/07/31 21:37:23 - mmengine - INFO - Epoch(train) [29][880/2505] lr: 5.0000e-04 eta: 20:15:51 time: 0.8661 data_time: 0.1391 memory: 22238 grad_norm: 18.5159 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6591 loss: 1.6591 2022/07/31 21:37:45 - mmengine - INFO - Epoch(train) [29][900/2505] lr: 5.0000e-04 eta: 20:15:33 time: 1.0884 data_time: 0.2522 memory: 22238 grad_norm: 18.3988 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5826 loss: 1.5826 2022/07/31 21:38:03 - mmengine - INFO - Epoch(train) [29][920/2505] lr: 5.0000e-04 eta: 20:15:12 time: 0.8947 data_time: 0.1518 memory: 22238 grad_norm: 18.7571 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7979 loss: 1.7979 2022/07/31 21:38:25 - mmengine - INFO - Epoch(train) [29][940/2505] lr: 5.0000e-04 eta: 20:14:54 time: 1.0813 data_time: 0.2316 memory: 22238 grad_norm: 20.2276 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5152 loss: 1.5152 2022/07/31 21:38:42 - mmengine - INFO - Epoch(train) [29][960/2505] lr: 5.0000e-04 eta: 20:14:32 time: 0.8533 data_time: 0.2347 memory: 22238 grad_norm: 18.3463 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6057 loss: 1.6057 2022/07/31 21:39:05 - mmengine - INFO - Epoch(train) [29][980/2505] lr: 5.0000e-04 eta: 20:14:16 time: 1.1509 data_time: 0.5393 memory: 22238 grad_norm: 19.0487 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4353 loss: 1.4353 2022/07/31 21:39:22 - mmengine - INFO - Epoch(train) [29][1000/2505] lr: 5.0000e-04 eta: 20:13:53 time: 0.8528 data_time: 0.4480 memory: 22238 grad_norm: 19.2968 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8821 loss: 1.8821 2022/07/31 21:39:43 - mmengine - INFO - Epoch(train) [29][1020/2505] lr: 5.0000e-04 eta: 20:13:35 time: 1.0610 data_time: 0.5648 memory: 22238 grad_norm: 18.5816 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7504 loss: 1.7504 2022/07/31 21:40:00 - mmengine - INFO - Epoch(train) [29][1040/2505] lr: 5.0000e-04 eta: 20:13:13 time: 0.8697 data_time: 0.3536 memory: 22238 grad_norm: 18.6741 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5899 loss: 1.5899 2022/07/31 21:40:23 - mmengine - INFO - Epoch(train) [29][1060/2505] lr: 5.0000e-04 eta: 20:12:57 time: 1.1326 data_time: 0.7419 memory: 22238 grad_norm: 19.3410 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5726 loss: 1.5726 2022/07/31 21:40:40 - mmengine - INFO - Epoch(train) [29][1080/2505] lr: 5.0000e-04 eta: 20:12:34 time: 0.8236 data_time: 0.3499 memory: 22238 grad_norm: 18.8743 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6960 loss: 1.6960 2022/07/31 21:41:03 - mmengine - INFO - Epoch(train) [29][1100/2505] lr: 5.0000e-04 eta: 20:12:18 time: 1.1820 data_time: 0.4911 memory: 22238 grad_norm: 19.3924 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4864 loss: 1.4864 2022/07/31 21:41:20 - mmengine - INFO - Epoch(train) [29][1120/2505] lr: 5.0000e-04 eta: 20:11:55 time: 0.8123 data_time: 0.3708 memory: 22238 grad_norm: 18.0276 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7357 loss: 1.7357 2022/07/31 21:41:42 - mmengine - INFO - Epoch(train) [29][1140/2505] lr: 5.0000e-04 eta: 20:11:38 time: 1.1202 data_time: 0.5728 memory: 22238 grad_norm: 19.8739 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6007 loss: 1.6007 2022/07/31 21:41:59 - mmengine - INFO - Epoch(train) [29][1160/2505] lr: 5.0000e-04 eta: 20:11:16 time: 0.8656 data_time: 0.4590 memory: 22238 grad_norm: 19.0535 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6472 loss: 1.6472 2022/07/31 21:42:21 - mmengine - INFO - Epoch(train) [29][1180/2505] lr: 5.0000e-04 eta: 20:10:58 time: 1.0690 data_time: 0.6255 memory: 22238 grad_norm: 18.8180 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6532 loss: 1.6532 2022/07/31 21:42:38 - mmengine - INFO - Epoch(train) [29][1200/2505] lr: 5.0000e-04 eta: 20:10:37 time: 0.8827 data_time: 0.3510 memory: 22238 grad_norm: 19.7619 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6041 loss: 1.6041 2022/07/31 21:43:00 - mmengine - INFO - Epoch(train) [29][1220/2505] lr: 5.0000e-04 eta: 20:10:19 time: 1.0588 data_time: 0.4297 memory: 22238 grad_norm: 19.2093 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4111 loss: 1.4111 2022/07/31 21:43:17 - mmengine - INFO - Epoch(train) [29][1240/2505] lr: 5.0000e-04 eta: 20:09:57 time: 0.8598 data_time: 0.2332 memory: 22238 grad_norm: 19.0625 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.7262 loss: 1.7262 2022/07/31 21:43:38 - mmengine - INFO - Epoch(train) [29][1260/2505] lr: 5.0000e-04 eta: 20:09:39 time: 1.0769 data_time: 0.3307 memory: 22238 grad_norm: 19.2260 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3828 loss: 1.3828 2022/07/31 21:43:56 - mmengine - INFO - Epoch(train) [29][1280/2505] lr: 5.0000e-04 eta: 20:09:17 time: 0.8749 data_time: 0.3482 memory: 22238 grad_norm: 19.0430 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7925 loss: 1.7925 2022/07/31 21:44:17 - mmengine - INFO - Epoch(train) [29][1300/2505] lr: 5.0000e-04 eta: 20:08:59 time: 1.0641 data_time: 0.5599 memory: 22238 grad_norm: 19.0526 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5040 loss: 1.5040 2022/07/31 21:44:35 - mmengine - INFO - Epoch(train) [29][1320/2505] lr: 5.0000e-04 eta: 20:08:37 time: 0.8737 data_time: 0.2678 memory: 22238 grad_norm: 18.5455 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7965 loss: 1.7965 2022/07/31 21:44:57 - mmengine - INFO - Epoch(train) [29][1340/2505] lr: 5.0000e-04 eta: 20:08:20 time: 1.1027 data_time: 0.3492 memory: 22238 grad_norm: 19.8023 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6506 loss: 1.6506 2022/07/31 21:45:14 - mmengine - INFO - Epoch(train) [29][1360/2505] lr: 5.0000e-04 eta: 20:07:58 time: 0.8854 data_time: 0.2585 memory: 22238 grad_norm: 18.9722 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5453 loss: 1.5453 2022/07/31 21:45:37 - mmengine - INFO - Epoch(train) [29][1380/2505] lr: 5.0000e-04 eta: 20:07:42 time: 1.1379 data_time: 0.4387 memory: 22238 grad_norm: 19.5802 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5584 loss: 1.5584 2022/07/31 21:45:54 - mmengine - INFO - Epoch(train) [29][1400/2505] lr: 5.0000e-04 eta: 20:07:20 time: 0.8677 data_time: 0.3500 memory: 22238 grad_norm: 19.0760 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8360 loss: 1.8360 2022/07/31 21:46:17 - mmengine - INFO - Epoch(train) [29][1420/2505] lr: 5.0000e-04 eta: 20:07:03 time: 1.1175 data_time: 0.4629 memory: 22238 grad_norm: 18.6291 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6611 loss: 1.6611 2022/07/31 21:46:34 - mmengine - INFO - Epoch(train) [29][1440/2505] lr: 5.0000e-04 eta: 20:06:41 time: 0.8640 data_time: 0.2219 memory: 22238 grad_norm: 19.7610 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6854 loss: 1.6854 2022/07/31 21:46:56 - mmengine - INFO - Epoch(train) [29][1460/2505] lr: 5.0000e-04 eta: 20:06:23 time: 1.0722 data_time: 0.3974 memory: 22238 grad_norm: 18.7055 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6780 loss: 1.6780 2022/07/31 21:47:13 - mmengine - INFO - Epoch(train) [29][1480/2505] lr: 5.0000e-04 eta: 20:06:01 time: 0.8541 data_time: 0.2176 memory: 22238 grad_norm: 18.7520 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3778 loss: 1.3778 2022/07/31 21:47:35 - mmengine - INFO - Epoch(train) [29][1500/2505] lr: 5.0000e-04 eta: 20:05:44 time: 1.1261 data_time: 0.3882 memory: 22238 grad_norm: 19.5431 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5051 loss: 1.5051 2022/07/31 21:47:52 - mmengine - INFO - Epoch(train) [29][1520/2505] lr: 5.0000e-04 eta: 20:05:22 time: 0.8634 data_time: 0.1394 memory: 22238 grad_norm: 18.7903 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5034 loss: 1.5034 2022/07/31 21:48:14 - mmengine - INFO - Epoch(train) [29][1540/2505] lr: 5.0000e-04 eta: 20:05:05 time: 1.0863 data_time: 0.2118 memory: 22238 grad_norm: 18.6723 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7009 loss: 1.7009 2022/07/31 21:48:32 - mmengine - INFO - Epoch(train) [29][1560/2505] lr: 5.0000e-04 eta: 20:04:43 time: 0.8699 data_time: 0.2113 memory: 22238 grad_norm: 20.0856 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4815 loss: 1.4815 2022/07/31 21:48:54 - mmengine - INFO - Epoch(train) [29][1580/2505] lr: 5.0000e-04 eta: 20:04:25 time: 1.1049 data_time: 0.2577 memory: 22238 grad_norm: 19.0347 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3953 loss: 1.3953 2022/07/31 21:49:11 - mmengine - INFO - Epoch(train) [29][1600/2505] lr: 5.0000e-04 eta: 20:04:04 time: 0.8815 data_time: 0.2757 memory: 22238 grad_norm: 17.8615 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5222 loss: 1.5222 2022/07/31 21:49:33 - mmengine - INFO - Epoch(train) [29][1620/2505] lr: 5.0000e-04 eta: 20:03:47 time: 1.0979 data_time: 0.4586 memory: 22238 grad_norm: 19.0188 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3742 loss: 1.3742 2022/07/31 21:49:51 - mmengine - INFO - Epoch(train) [29][1640/2505] lr: 5.0000e-04 eta: 20:03:25 time: 0.8747 data_time: 0.3554 memory: 22238 grad_norm: 19.0878 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7597 loss: 1.7597 2022/07/31 21:50:13 - mmengine - INFO - Epoch(train) [29][1660/2505] lr: 5.0000e-04 eta: 20:03:08 time: 1.1375 data_time: 0.5747 memory: 22238 grad_norm: 18.9650 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5317 loss: 1.5317 2022/07/31 21:50:31 - mmengine - INFO - Epoch(train) [29][1680/2505] lr: 5.0000e-04 eta: 20:02:46 time: 0.8556 data_time: 0.4180 memory: 22238 grad_norm: 19.5854 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4540 loss: 1.4540 2022/07/31 21:50:53 - mmengine - INFO - Epoch(train) [29][1700/2505] lr: 5.0000e-04 eta: 20:02:29 time: 1.0996 data_time: 0.6734 memory: 22238 grad_norm: 19.1782 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6475 loss: 1.6475 2022/07/31 21:51:10 - mmengine - INFO - Epoch(train) [29][1720/2505] lr: 5.0000e-04 eta: 20:02:06 time: 0.8564 data_time: 0.4548 memory: 22238 grad_norm: 19.4421 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6945 loss: 1.6945 2022/07/31 21:51:31 - mmengine - INFO - Epoch(train) [29][1740/2505] lr: 5.0000e-04 eta: 20:01:48 time: 1.0527 data_time: 0.6530 memory: 22238 grad_norm: 19.0896 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.5532 loss: 1.5532 2022/07/31 21:51:48 - mmengine - INFO - Epoch(train) [29][1760/2505] lr: 5.0000e-04 eta: 20:01:26 time: 0.8768 data_time: 0.4768 memory: 22238 grad_norm: 19.8213 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4190 loss: 1.4190 2022/07/31 21:52:11 - mmengine - INFO - Epoch(train) [29][1780/2505] lr: 5.0000e-04 eta: 20:01:10 time: 1.1178 data_time: 0.7206 memory: 22238 grad_norm: 18.5445 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5521 loss: 1.5521 2022/07/31 21:52:28 - mmengine - INFO - Epoch(train) [29][1800/2505] lr: 5.0000e-04 eta: 20:00:47 time: 0.8591 data_time: 0.4684 memory: 22238 grad_norm: 19.0238 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3986 loss: 1.3986 2022/07/31 21:52:50 - mmengine - INFO - Epoch(train) [29][1820/2505] lr: 5.0000e-04 eta: 20:00:30 time: 1.0991 data_time: 0.6901 memory: 22238 grad_norm: 19.3334 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7521 loss: 1.7521 2022/07/31 21:53:07 - mmengine - INFO - Epoch(train) [29][1840/2505] lr: 5.0000e-04 eta: 20:00:08 time: 0.8538 data_time: 0.4635 memory: 22238 grad_norm: 18.9020 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6133 loss: 1.6133 2022/07/31 21:53:29 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 21:53:29 - mmengine - INFO - Epoch(train) [29][1860/2505] lr: 5.0000e-04 eta: 19:59:51 time: 1.1015 data_time: 0.6583 memory: 22238 grad_norm: 19.0192 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8467 loss: 1.8467 2022/07/31 21:53:46 - mmengine - INFO - Epoch(train) [29][1880/2505] lr: 5.0000e-04 eta: 19:59:28 time: 0.8471 data_time: 0.4049 memory: 22238 grad_norm: 19.4404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6524 loss: 1.6524 2022/07/31 21:54:07 - mmengine - INFO - Epoch(train) [29][1900/2505] lr: 5.0000e-04 eta: 19:59:10 time: 1.0705 data_time: 0.6780 memory: 22238 grad_norm: 18.2932 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6658 loss: 1.6658 2022/07/31 21:54:25 - mmengine - INFO - Epoch(train) [29][1920/2505] lr: 5.0000e-04 eta: 19:58:48 time: 0.8608 data_time: 0.4609 memory: 22238 grad_norm: 18.3509 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7981 loss: 1.7981 2022/07/31 21:54:47 - mmengine - INFO - Epoch(train) [29][1940/2505] lr: 5.0000e-04 eta: 19:58:31 time: 1.1100 data_time: 0.7135 memory: 22238 grad_norm: 19.0480 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6693 loss: 1.6693 2022/07/31 21:55:05 - mmengine - INFO - Epoch(train) [29][1960/2505] lr: 5.0000e-04 eta: 19:58:11 time: 0.9330 data_time: 0.5286 memory: 22238 grad_norm: 18.7228 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5842 loss: 1.5842 2022/07/31 21:55:26 - mmengine - INFO - Epoch(train) [29][1980/2505] lr: 5.0000e-04 eta: 19:57:52 time: 1.0453 data_time: 0.6586 memory: 22238 grad_norm: 19.2752 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4724 loss: 1.4724 2022/07/31 21:55:44 - mmengine - INFO - Epoch(train) [29][2000/2505] lr: 5.0000e-04 eta: 19:57:31 time: 0.8783 data_time: 0.4801 memory: 22238 grad_norm: 18.9609 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6386 loss: 1.6386 2022/07/31 21:56:06 - mmengine - INFO - Epoch(train) [29][2020/2505] lr: 5.0000e-04 eta: 19:57:13 time: 1.0965 data_time: 0.6853 memory: 22238 grad_norm: 19.6489 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4994 loss: 1.4994 2022/07/31 21:56:23 - mmengine - INFO - Epoch(train) [29][2040/2505] lr: 5.0000e-04 eta: 19:56:51 time: 0.8594 data_time: 0.4634 memory: 22238 grad_norm: 19.7366 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6410 loss: 1.6410 2022/07/31 21:56:46 - mmengine - INFO - Epoch(train) [29][2060/2505] lr: 5.0000e-04 eta: 19:56:35 time: 1.1579 data_time: 0.7306 memory: 22238 grad_norm: 19.7628 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6071 loss: 1.6071 2022/07/31 21:57:03 - mmengine - INFO - Epoch(train) [29][2080/2505] lr: 5.0000e-04 eta: 19:56:12 time: 0.8299 data_time: 0.4377 memory: 22238 grad_norm: 19.2454 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7633 loss: 1.7633 2022/07/31 21:57:25 - mmengine - INFO - Epoch(train) [29][2100/2505] lr: 5.0000e-04 eta: 19:55:56 time: 1.1342 data_time: 0.7103 memory: 22238 grad_norm: 19.1120 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5448 loss: 1.5448 2022/07/31 21:57:42 - mmengine - INFO - Epoch(train) [29][2120/2505] lr: 5.0000e-04 eta: 19:55:33 time: 0.8322 data_time: 0.4365 memory: 22238 grad_norm: 19.3212 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7134 loss: 1.7134 2022/07/31 21:58:05 - mmengine - INFO - Epoch(train) [29][2140/2505] lr: 5.0000e-04 eta: 19:55:17 time: 1.1620 data_time: 0.7163 memory: 22238 grad_norm: 18.6214 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4424 loss: 1.4424 2022/07/31 21:58:20 - mmengine - INFO - Epoch(train) [29][2160/2505] lr: 5.0000e-04 eta: 19:54:52 time: 0.7263 data_time: 0.3263 memory: 22238 grad_norm: 18.7201 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5573 loss: 1.5573 2022/07/31 21:58:42 - mmengine - INFO - Epoch(train) [29][2180/2505] lr: 5.0000e-04 eta: 19:54:35 time: 1.0890 data_time: 0.6786 memory: 22238 grad_norm: 20.4190 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5612 loss: 1.5612 2022/07/31 21:58:59 - mmengine - INFO - Epoch(train) [29][2200/2505] lr: 5.0000e-04 eta: 19:54:12 time: 0.8539 data_time: 0.4442 memory: 22238 grad_norm: 19.0018 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5110 loss: 1.5110 2022/07/31 21:59:21 - mmengine - INFO - Epoch(train) [29][2220/2505] lr: 5.0000e-04 eta: 19:53:55 time: 1.1011 data_time: 0.6896 memory: 22238 grad_norm: 18.9919 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6543 loss: 1.6543 2022/07/31 21:59:37 - mmengine - INFO - Epoch(train) [29][2240/2505] lr: 5.0000e-04 eta: 19:53:32 time: 0.8212 data_time: 0.4122 memory: 22238 grad_norm: 19.7620 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6246 loss: 1.6246 2022/07/31 22:00:00 - mmengine - INFO - Epoch(train) [29][2260/2505] lr: 5.0000e-04 eta: 19:53:16 time: 1.1356 data_time: 0.7409 memory: 22238 grad_norm: 18.0736 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6868 loss: 1.6868 2022/07/31 22:00:18 - mmengine - INFO - Epoch(train) [29][2280/2505] lr: 5.0000e-04 eta: 19:52:54 time: 0.8861 data_time: 0.4738 memory: 22238 grad_norm: 18.5583 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7939 loss: 1.7939 2022/07/31 22:00:38 - mmengine - INFO - Epoch(train) [29][2300/2505] lr: 5.0000e-04 eta: 19:52:35 time: 1.0284 data_time: 0.6159 memory: 22238 grad_norm: 19.5895 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8798 loss: 1.8798 2022/07/31 22:00:55 - mmengine - INFO - Epoch(train) [29][2320/2505] lr: 5.0000e-04 eta: 19:52:13 time: 0.8457 data_time: 0.4284 memory: 22238 grad_norm: 18.3184 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8225 loss: 1.8225 2022/07/31 22:01:18 - mmengine - INFO - Epoch(train) [29][2340/2505] lr: 5.0000e-04 eta: 19:51:57 time: 1.1574 data_time: 0.7604 memory: 22238 grad_norm: 19.2399 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.7393 loss: 1.7393 2022/07/31 22:01:35 - mmengine - INFO - Epoch(train) [29][2360/2505] lr: 5.0000e-04 eta: 19:51:34 time: 0.8165 data_time: 0.4002 memory: 22238 grad_norm: 19.2216 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7547 loss: 1.7547 2022/07/31 22:01:56 - mmengine - INFO - Epoch(train) [29][2380/2505] lr: 5.0000e-04 eta: 19:51:16 time: 1.0590 data_time: 0.6262 memory: 22238 grad_norm: 18.7972 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5650 loss: 1.5650 2022/07/31 22:02:14 - mmengine - INFO - Epoch(train) [29][2400/2505] lr: 5.0000e-04 eta: 19:50:55 time: 0.8977 data_time: 0.4035 memory: 22238 grad_norm: 19.4064 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4466 loss: 1.4466 2022/07/31 22:02:35 - mmengine - INFO - Epoch(train) [29][2420/2505] lr: 5.0000e-04 eta: 19:50:36 time: 1.0612 data_time: 0.5716 memory: 22238 grad_norm: 18.9379 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.4671 loss: 1.4671 2022/07/31 22:02:53 - mmengine - INFO - Epoch(train) [29][2440/2505] lr: 5.0000e-04 eta: 19:50:15 time: 0.8984 data_time: 0.4358 memory: 22238 grad_norm: 19.2290 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5272 loss: 1.5272 2022/07/31 22:03:14 - mmengine - INFO - Epoch(train) [29][2460/2505] lr: 5.0000e-04 eta: 19:49:57 time: 1.0349 data_time: 0.5226 memory: 22238 grad_norm: 20.2126 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5560 loss: 1.5560 2022/07/31 22:03:34 - mmengine - INFO - Epoch(train) [29][2480/2505] lr: 5.0000e-04 eta: 19:49:37 time: 1.0031 data_time: 0.2665 memory: 22238 grad_norm: 18.3247 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7371 loss: 1.7371 2022/07/31 22:03:50 - mmengine - INFO - Epoch(train) [29][2500/2505] lr: 5.0000e-04 eta: 19:49:14 time: 0.8169 data_time: 0.1966 memory: 22238 grad_norm: 18.7293 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7257 loss: 1.7257 2022/07/31 22:03:53 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 22:03:53 - mmengine - INFO - Epoch(train) [29][2505/2505] lr: 5.0000e-04 eta: 19:49:14 time: 0.7579 data_time: 0.1115 memory: 22238 grad_norm: 19.4197 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.5995 loss: 1.5995 2022/07/31 22:04:18 - mmengine - INFO - Epoch(train) [30][20/2505] lr: 5.0000e-04 eta: 19:48:51 time: 1.2720 data_time: 0.8540 memory: 22238 grad_norm: 18.8062 top1_acc: 0.3333 top5_acc: 0.3333 loss_cls: 1.6548 loss: 1.6548 2022/07/31 22:04:36 - mmengine - INFO - Epoch(train) [30][40/2505] lr: 5.0000e-04 eta: 19:48:30 time: 0.9040 data_time: 0.4004 memory: 22238 grad_norm: 18.8047 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4891 loss: 1.4891 2022/07/31 22:04:58 - mmengine - INFO - Epoch(train) [30][60/2505] lr: 5.0000e-04 eta: 19:48:12 time: 1.1083 data_time: 0.4502 memory: 22238 grad_norm: 18.8387 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.6354 loss: 1.6354 2022/07/31 22:05:16 - mmengine - INFO - Epoch(train) [30][80/2505] lr: 5.0000e-04 eta: 19:47:51 time: 0.8789 data_time: 0.2748 memory: 22238 grad_norm: 18.5332 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7907 loss: 1.7907 2022/07/31 22:05:39 - mmengine - INFO - Epoch(train) [30][100/2505] lr: 5.0000e-04 eta: 19:47:34 time: 1.1355 data_time: 0.2495 memory: 22238 grad_norm: 18.5394 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3644 loss: 1.3644 2022/07/31 22:05:57 - mmengine - INFO - Epoch(train) [30][120/2505] lr: 5.0000e-04 eta: 19:47:13 time: 0.9000 data_time: 0.0897 memory: 22238 grad_norm: 19.1292 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5773 loss: 1.5773 2022/07/31 22:06:19 - mmengine - INFO - Epoch(train) [30][140/2505] lr: 5.0000e-04 eta: 19:46:56 time: 1.1161 data_time: 0.0757 memory: 22238 grad_norm: 18.5292 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4791 loss: 1.4791 2022/07/31 22:06:37 - mmengine - INFO - Epoch(train) [30][160/2505] lr: 5.0000e-04 eta: 19:46:35 time: 0.9090 data_time: 0.0532 memory: 22238 grad_norm: 18.6943 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7533 loss: 1.7533 2022/07/31 22:06:57 - mmengine - INFO - Epoch(train) [30][180/2505] lr: 5.0000e-04 eta: 19:46:16 time: 1.0057 data_time: 0.1623 memory: 22238 grad_norm: 19.3182 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5333 loss: 1.5333 2022/07/31 22:07:15 - mmengine - INFO - Epoch(train) [30][200/2505] lr: 5.0000e-04 eta: 19:45:54 time: 0.8825 data_time: 0.1436 memory: 22238 grad_norm: 18.3434 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.7480 loss: 1.7480 2022/07/31 22:07:37 - mmengine - INFO - Epoch(train) [30][220/2505] lr: 5.0000e-04 eta: 19:45:37 time: 1.1045 data_time: 0.3996 memory: 22238 grad_norm: 18.5685 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5598 loss: 1.5598 2022/07/31 22:07:56 - mmengine - INFO - Epoch(train) [30][240/2505] lr: 5.0000e-04 eta: 19:45:16 time: 0.9256 data_time: 0.4267 memory: 22238 grad_norm: 19.1540 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.6764 loss: 1.6764 2022/07/31 22:08:18 - mmengine - INFO - Epoch(train) [30][260/2505] lr: 5.0000e-04 eta: 19:44:59 time: 1.1340 data_time: 0.7036 memory: 22238 grad_norm: 19.1286 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5993 loss: 1.5993 2022/07/31 22:08:36 - mmengine - INFO - Epoch(train) [30][280/2505] lr: 5.0000e-04 eta: 19:44:37 time: 0.8634 data_time: 0.4583 memory: 22238 grad_norm: 19.2090 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.4052 loss: 1.4052 2022/07/31 22:08:57 - mmengine - INFO - Epoch(train) [30][300/2505] lr: 5.0000e-04 eta: 19:44:20 time: 1.0817 data_time: 0.6713 memory: 22238 grad_norm: 18.9920 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4943 loss: 1.4943 2022/07/31 22:09:15 - mmengine - INFO - Epoch(train) [30][320/2505] lr: 5.0000e-04 eta: 19:43:58 time: 0.8668 data_time: 0.4497 memory: 22238 grad_norm: 19.1790 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4700 loss: 1.4700 2022/07/31 22:09:36 - mmengine - INFO - Epoch(train) [30][340/2505] lr: 5.0000e-04 eta: 19:43:40 time: 1.0774 data_time: 0.3879 memory: 22238 grad_norm: 19.4463 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3480 loss: 1.3480 2022/07/31 22:09:51 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_8xb12_kinetics400_rgb_20220731_014145 2022/07/31 22:09:54 - mmengine - INFO - Epoch(train) [30][360/2505] lr: 5.0000e-04 eta: 19:43:18 time: 0.8717 data_time: 0.1714 memory: 22238 grad_norm: 19.9956 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6423 loss: 1.6423 2022/07/31 22:10:16 - mmengine - INFO - Epoch(train) [30][380/2505] lr: 5.0000e-04 eta: 19:43:01 time: 1.1131 data_time: 0.1068 memory: 22238 grad_norm: 19.5010 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8726 loss: 1.8726 2022/07/31 22:10:34 - mmengine - INFO - Epoch(train) [30][400/2505] lr: 5.0000e-04 eta: 19:42:40 time: 0.9042 data_time: 0.2167 memory: 22238 grad_norm: 19.9256 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8566 loss: 1.8566 2022/07/31 22:10:55 - mmengine - INFO - Epoch(train) [30][420/2505] lr: 5.0000e-04 eta: 19:42:22 time: 1.0623 data_time: 0.3243 memory: 22238 grad_norm: 18.7731 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5400 loss: 1.5400 2022/07/31 22:11:12 - mmengine - INFO - Epoch(train) [30][440/2505] lr: 5.0000e-04 eta: 19:42:00 time: 0.8552 data_time: 0.2684 memory: 22238 grad_norm: 19.9759 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7761 loss: 1.7761 2022/07/31 22:11:34 - mmengine - INFO - Epoch(train) [30][460/2505] lr: 5.0000e-04 eta: 19:41:42 time: 1.0696 data_time: 0.3463 memory: 22238 grad_norm: 18.8761 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5141 loss: 1.5141 2022/07/31 22:11:51 - mmengine - INFO - Epoch(train) [30][480/2505] lr: 5.0000e-04 eta: 19:41:20 time: 0.8585 data_time: 0.2460 memory: 22238 grad_norm: 19.1364 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6806 loss: 1.6806 2022/07/31 22:12:13 - mmengine - INFO - Epoch(train) [30][500/2505] lr: 5.0000e-04 eta: 19:41:02 time: 1.1072 data_time: 0.4672 memory: 22238 grad_norm: 19.1904 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8187 loss: 1.8187 2022/07/31 22:12:30 - mmengine - INFO - Epoch(train) [30][520/2505] lr: 5.0000e-04 eta: 19:40:41 time: 0.8716 data_time: 0.3753 memory: 22238 grad_norm: 18.4474 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2673 loss: 1.2673 2022/07/31 22:12:53 - mmengine - INFO - Epoch(train) [30][540/2505] lr: 5.0000e-04 eta: 19:40:23 time: 1.1072 data_time: 0.6179 memory: 22238 grad_norm: 18.8470 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5120 loss: 1.5120 2022/07/31 22:13:11 - mmengine - INFO - Epoch(train) [30][560/2505] lr: 5.0000e-04 eta: 19:40:02 time: 0.9018 data_time: 0.3989 memory: 22238 grad_norm: 18.4647 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4652 loss: 1.4652 2022/07/31 22:13:32 - mmengine - INFO - Epoch(train) [30][580/2505] lr: 5.0000e-04 eta: 19:39:44 time: 1.0603 data_time: 0.6018 memory: 22238 grad_norm: 18.9691 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4738 loss: 1.4738 2022/07/31 22:13:50 - mmengine - INFO - Epoch(train) [30][600/2505] lr: 5.0000e-04 eta: 19:39:23 time: 0.8834 data_time: 0.4431 memory: 22238 grad_norm: 19.1243 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6366 loss: 1.6366 2022/07/31 22:14:11 - mmengine - INFO - Epoch(train) [30][620/2505] lr: 5.0000e-04 eta: 19:39:05 time: 1.0772 data_time: 0.6309 memory: 22238 grad_norm: 19.3000 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5533 loss: 1.5533 2022/07/31 22:14:28 - mmengine - INFO - Epoch(train) [30][640/2505] lr: 5.0000e-04 eta: 19:38:42 time: 0.8478 data_time: 0.3061 memory: 22238 grad_norm: 18.8768 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4981 loss: 1.4981 2022/07/31 22:14:49 - mmengine - INFO - Epoch(train) [30][660/2505] lr: 5.0000e-04 eta: 19:38:24 time: 1.0468 data_time: 0.3586 memory: 22238 grad_norm: 19.4296 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2378 loss: 1.2378 2022/07/31 22:15:07 - mmengine - INFO - Epoch(train) [30][680/2505] lr: 5.0000e-04 eta: 19:38:03 time: 0.8883 data_time: 0.2645 memory: 22238 grad_norm: 19.2571 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.6361 loss: 1.6361 2022/07/31 22:15:28 - mmengine - INFO - Epoch(train) [30][700/2505] lr: 5.0000e-04 eta: 19:37:45 time: 1.0670 data_time: 0.2436 memory: 22238 grad_norm: 18.8854 top1