2022/07/29 13:44:49 - mmengine - INFO - load model from: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_from_scratch_r152_ig65m_20200807-771c4135.pth 2022/07/29 13:44:49 - mmengine - INFO - http loads checkpoint from path: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_from_scratch_r152_ig65m_20200807-771c4135.pth 2022/07/29 13:44:51 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb by HardDiskBackend. 2022/07/29 13:45:38 - mmengine - INFO - Epoch(train) [1][20/2505] lr: 5.0000e-05 eta: 3 days, 23:59:31 time: 2.3788 data_time: 0.6240 memory: 70075 grad_norm: 6.0724 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0410 loss: 6.0410 2022/07/29 13:46:00 - mmengine - INFO - Epoch(train) [1][40/2505] lr: 5.0000e-05 eta: 2 days, 21:34:28 time: 1.0700 data_time: 0.0959 memory: 32752 grad_norm: 4.6956 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0087 loss: 6.0087 2022/07/29 13:46:19 - mmengine - INFO - Epoch(train) [1][60/2505] lr: 5.0000e-05 eta: 2 days, 11:23:13 time: 0.9675 data_time: 0.0312 memory: 32752 grad_norm: 3.8132 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9913 loss: 5.9913 2022/07/29 13:46:42 - mmengine - INFO - Epoch(train) [1][80/2505] lr: 5.0000e-05 eta: 2 days, 8:17:45 time: 1.1664 data_time: 0.0326 memory: 32752 grad_norm: 3.4730 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9952 loss: 5.9952 2022/07/29 13:47:00 - mmengine - INFO - Epoch(train) [1][100/2505] lr: 5.0000e-05 eta: 2 days, 4:21:27 time: 0.9084 data_time: 0.0433 memory: 32752 grad_norm: 3.1569 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9872 loss: 5.9872 2022/07/29 13:47:20 - mmengine - INFO - Epoch(train) [1][120/2505] lr: 5.0000e-05 eta: 2 days, 2:17:44 time: 0.9925 data_time: 0.0277 memory: 32752 grad_norm: 3.2163 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9887 loss: 5.9887 2022/07/29 13:47:41 - mmengine - INFO - Epoch(train) [1][140/2505] lr: 5.0000e-05 eta: 2 days, 0:59:17 time: 1.0214 data_time: 0.0354 memory: 32752 grad_norm: 3.4390 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9902 loss: 5.9902 2022/07/29 13:48:03 - mmengine - INFO - Epoch(train) [1][160/2505] lr: 5.0000e-05 eta: 2 days, 0:30:45 time: 1.1220 data_time: 0.0437 memory: 32752 grad_norm: 3.7002 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.9881 loss: 5.9881 2022/07/29 13:48:28 - mmengine - INFO - Epoch(train) [1][180/2505] lr: 5.0000e-05 eta: 2 days, 0:37:47 time: 1.2310 data_time: 0.0437 memory: 32752 grad_norm: 3.8524 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9867 loss: 5.9867 2022/07/29 13:48:42 - mmengine - INFO - Epoch(train) [1][200/2505] lr: 5.0000e-05 eta: 1 day, 22:42:24 time: 0.7309 data_time: 0.0286 memory: 32752 grad_norm: 4.1636 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.9717 loss: 5.9717 2022/07/29 13:49:04 - mmengine - INFO - Epoch(train) [1][220/2505] lr: 5.0000e-05 eta: 1 day, 22:27:59 time: 1.0951 data_time: 0.0536 memory: 32752 grad_norm: 4.3744 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9625 loss: 5.9625 2022/07/29 13:49:25 - mmengine - INFO - Epoch(train) [1][240/2505] lr: 5.0000e-05 eta: 1 day, 22:03:57 time: 1.0357 data_time: 0.0263 memory: 32752 grad_norm: 4.6120 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9746 loss: 5.9746 2022/07/29 13:49:48 - mmengine - INFO - Epoch(train) [1][260/2505] lr: 5.0000e-05 eta: 1 day, 22:05:05 time: 1.1515 data_time: 0.0305 memory: 32752 grad_norm: 4.7503 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9632 loss: 5.9632 2022/07/29 13:50:10 - mmengine - INFO - Epoch(train) [1][280/2505] lr: 5.0000e-05 eta: 1 day, 21:54:54 time: 1.0871 data_time: 0.0286 memory: 32752 grad_norm: 5.3523 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9583 loss: 5.9583 2022/07/29 13:50:27 - mmengine - INFO - Epoch(train) [1][300/2505] lr: 5.0000e-05 eta: 1 day, 21:11:10 time: 0.8708 data_time: 0.0268 memory: 32752 grad_norm: 5.8390 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.9456 loss: 5.9456 2022/07/29 13:50:48 - mmengine - INFO - Epoch(train) [1][320/2505] lr: 5.0000e-05 eta: 1 day, 21:00:46 time: 1.0556 data_time: 0.0586 memory: 32752 grad_norm: 6.6795 top1_acc: 0.1667 top5_acc: 0.2500 loss_cls: 5.9377 loss: 5.9377 2022/07/29 13:51:07 - mmengine - INFO - Epoch(train) [1][340/2505] lr: 5.0000e-05 eta: 1 day, 20:32:09 time: 0.9190 data_time: 0.0273 memory: 32752 grad_norm: 6.7011 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 5.9352 loss: 5.9352 2022/07/29 13:51:38 - mmengine - INFO - Epoch(train) [1][360/2505] lr: 5.0000e-05 eta: 1 day, 21:36:54 time: 1.5914 data_time: 0.0451 memory: 32752 grad_norm: 7.0785 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.9284 loss: 5.9284 2022/07/29 13:51:55 - mmengine - INFO - Epoch(train) [1][380/2505] lr: 5.0000e-05 eta: 1 day, 20:56:28 time: 0.8180 data_time: 0.0588 memory: 32752 grad_norm: 7.1514 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9193 loss: 5.9193 2022/07/29 13:52:18 - mmengine - INFO - Epoch(train) [1][400/2505] lr: 5.0000e-05 eta: 1 day, 21:00:20 time: 1.1515 data_time: 0.0477 memory: 32752 grad_norm: 8.2150 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.8815 loss: 5.8815 2022/07/29 13:52:36 - mmengine - INFO - Epoch(train) [1][420/2505] lr: 5.0000e-05 eta: 1 day, 20:35:31 time: 0.9056 data_time: 0.0290 memory: 32752 grad_norm: 8.9807 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9079 loss: 5.9079 2022/07/29 13:52:55 - mmengine - INFO - Epoch(train) [1][440/2505] lr: 5.0000e-05 eta: 1 day, 20:18:21 time: 0.9550 data_time: 0.0410 memory: 32752 grad_norm: 9.3594 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.8709 loss: 5.8709 2022/07/29 13:53:15 - mmengine - INFO - Epoch(train) [1][460/2505] lr: 5.0000e-05 eta: 1 day, 20:04:48 time: 0.9756 data_time: 0.0303 memory: 32752 grad_norm: 10.3821 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8783 loss: 5.8783 2022/07/29 13:53:42 - mmengine - INFO - Epoch(train) [1][480/2505] lr: 5.0000e-05 eta: 1 day, 20:32:07 time: 1.3710 data_time: 0.4238 memory: 32752 grad_norm: 10.2552 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8670 loss: 5.8670 2022/07/29 13:54:03 - mmengine - INFO - Epoch(train) [1][500/2505] lr: 5.0000e-05 eta: 1 day, 20:26:35 time: 1.0537 data_time: 0.4599 memory: 32752 grad_norm: 10.8153 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.8325 loss: 5.8325 2022/07/29 13:54:25 - mmengine - INFO - Epoch(train) [1][520/2505] lr: 5.0000e-05 eta: 1 day, 20:23:12 time: 1.0724 data_time: 0.4635 memory: 32752 grad_norm: 11.6131 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8123 loss: 5.8123 2022/07/29 13:54:45 - mmengine - INFO - Epoch(train) [1][540/2505] lr: 5.0000e-05 eta: 1 day, 20:15:26 time: 1.0210 data_time: 0.2520 memory: 32752 grad_norm: 12.5383 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8218 loss: 5.8218 2022/07/29 13:55:03 - mmengine - INFO - Epoch(train) [1][560/2505] lr: 5.0000e-05 eta: 1 day, 19:58:13 time: 0.9051 data_time: 0.0368 memory: 32752 grad_norm: 14.3673 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7517 loss: 5.7517 2022/07/29 13:55:26 - mmengine - INFO - Epoch(train) [1][580/2505] lr: 5.0000e-05 eta: 1 day, 20:04:10 time: 1.1697 data_time: 0.0559 memory: 32752 grad_norm: 14.6203 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.7643 loss: 5.7643 2022/07/29 13:55:51 - mmengine - INFO - Epoch(train) [1][600/2505] lr: 5.0000e-05 eta: 1 day, 20:12:52 time: 1.2091 data_time: 0.0381 memory: 32752 grad_norm: 16.0839 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8078 loss: 5.8078 2022/07/29 13:56:07 - mmengine - INFO - Epoch(train) [1][620/2505] lr: 5.0000e-05 eta: 1 day, 19:50:11 time: 0.8133 data_time: 0.0277 memory: 32752 grad_norm: 15.3227 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7704 loss: 5.7704 2022/07/29 13:56:28 - mmengine - INFO - Epoch(train) [1][640/2505] lr: 5.0000e-05 eta: 1 day, 19:47:14 time: 1.0564 data_time: 0.0286 memory: 32752 grad_norm: 17.2463 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.7106 loss: 5.7106 2022/07/29 13:56:48 - mmengine - INFO - Epoch(train) [1][660/2505] lr: 5.0000e-05 eta: 1 day, 19:41:44 time: 1.0195 data_time: 0.0498 memory: 32752 grad_norm: 16.8678 top1_acc: 0.1667 top5_acc: 0.1667 loss_cls: 5.6292 loss: 5.6292 2022/07/29 13:57:09 - mmengine - INFO - Epoch(train) [1][680/2505] lr: 5.0000e-05 eta: 1 day, 19:38:41 time: 1.0498 data_time: 0.0312 memory: 32752 grad_norm: 17.9887 top1_acc: 0.0000 top5_acc: 0.1667 loss_cls: 5.7792 loss: 5.7792 2022/07/29 13:57:29 - mmengine - INFO - Epoch(train) [1][700/2505] lr: 5.0000e-05 eta: 1 day, 19:31:00 time: 0.9800 data_time: 0.0260 memory: 32752 grad_norm: 18.1549 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.6855 loss: 5.6855 2022/07/29 13:57:48 - mmengine - INFO - Epoch(train) [1][720/2505] lr: 5.0000e-05 eta: 1 day, 19:20:11 time: 0.9274 data_time: 0.0296 memory: 32752 grad_norm: 18.1491 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5808 loss: 5.5808 2022/07/29 13:58:11 - mmengine - INFO - Epoch(train) [1][740/2505] lr: 5.0000e-05 eta: 1 day, 19:25:42 time: 1.1694 data_time: 0.0663 memory: 32752 grad_norm: 21.2457 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.5785 loss: 5.5785 2022/07/29 13:58:39 - mmengine - INFO - Epoch(train) [1][760/2505] lr: 5.0000e-05 eta: 1 day, 19:45:59 time: 1.4073 data_time: 0.0556 memory: 32752 grad_norm: 22.1571 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.6340 loss: 5.6340 2022/07/29 13:59:02 - mmengine - INFO - Epoch(train) [1][780/2505] lr: 5.0000e-05 eta: 1 day, 19:49:05 time: 1.1460 data_time: 0.0434 memory: 32752 grad_norm: 21.2983 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.6064 loss: 5.6064 2022/07/29 13:59:26 - mmengine - INFO - Epoch(train) [1][800/2505] lr: 5.0000e-05 eta: 1 day, 19:54:42 time: 1.1910 data_time: 0.0611 memory: 32752 grad_norm: 22.8484 top1_acc: 0.0833 top5_acc: 0.2500 loss_cls: 5.5013 loss: 5.5013 2022/07/29 13:59:44 - mmengine - INFO - Epoch(train) [1][820/2505] lr: 5.0000e-05 eta: 1 day, 19:43:27 time: 0.9088 data_time: 0.0353 memory: 32752 grad_norm: 21.4500 top1_acc: 0.1667 top5_acc: 0.2500 loss_cls: 5.4757 loss: 5.4757 2022/07/29 14:00:04 - mmengine - INFO - Epoch(train) [1][840/2505] lr: 5.0000e-05 eta: 1 day, 19:38:23 time: 1.0075 data_time: 0.0369 memory: 32752 grad_norm: 22.5127 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.5499 loss: 5.5499 2022/07/29 14:00:31 - mmengine - INFO - Epoch(train) [1][860/2505] lr: 5.0000e-05 eta: 1 day, 19:53:04 time: 1.3563 data_time: 0.0299 memory: 32752 grad_norm: 23.4274 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.4242 loss: 5.4242 2022/07/29 14:00:50 - mmengine - INFO - Epoch(train) [1][880/2505] lr: 5.0000e-05 eta: 1 day, 19:44:23 time: 0.9417 data_time: 0.0373 memory: 32752 grad_norm: 26.4580 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.2656 loss: 5.2656 2022/07/29 14:01:13 - mmengine - INFO - Epoch(train) [1][900/2505] lr: 5.0000e-05 eta: 1 day, 19:47:22 time: 1.1531 data_time: 0.0530 memory: 32752 grad_norm: 25.6288 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 5.3394 loss: 5.3394 2022/07/29 14:01:41 - mmengine - INFO - Epoch(train) [1][920/2505] lr: 5.0000e-05 eta: 1 day, 20:03:31 time: 1.4075 data_time: 0.1174 memory: 32752 grad_norm: 26.4135 top1_acc: 0.0000 top5_acc: 0.3333 loss_cls: 5.3853 loss: 5.3853 2022/07/29 14:01:59 - mmengine - INFO - Epoch(train) [1][940/2505] lr: 5.0000e-05 eta: 1 day, 19:53:20 time: 0.9069 data_time: 0.0323 memory: 32752 grad_norm: 27.4146 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.2921 loss: 5.2921 2022/07/29 14:02:27 - mmengine - INFO - Epoch(train) [1][960/2505] lr: 5.0000e-05 eta: 1 day, 20:07:18 time: 1.3803 data_time: 0.0504 memory: 32752 grad_norm: 26.8140 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 5.4241 loss: 5.4241 2022/07/29 14:02:42 - mmengine - INFO - Epoch(train) [1][980/2505] lr: 5.0000e-05 eta: 1 day, 19:50:29 time: 0.7655 data_time: 0.0306 memory: 32752 grad_norm: 30.2074 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 5.1667 loss: 5.1667 2022/07/29 14:03:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 14:03:02 - mmengine - INFO - Epoch(train) [1][1000/2505] lr: 5.0000e-05 eta: 1 day, 19:45:26 time: 0.9962 data_time: 0.0279 memory: 32752 grad_norm: 28.9090 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.3010 loss: 5.3010 2022/07/29 14:03:21 - mmengine - INFO - Epoch(train) [1][1020/2505] lr: 5.0000e-05 eta: 1 day, 19:38:08 time: 0.9448 data_time: 0.0272 memory: 32752 grad_norm: 30.2791 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 4.9115 loss: 4.9115 2022/07/29 14:03:42 - mmengine - INFO - Epoch(train) [1][1040/2505] lr: 5.0000e-05 eta: 1 day, 19:36:06 time: 1.0526 data_time: 0.0284 memory: 32752 grad_norm: 30.6942 top1_acc: 0.0833 top5_acc: 0.2500 loss_cls: 5.0338 loss: 5.0338 2022/07/29 14:04:00 - mmengine - INFO - Epoch(train) [1][1060/2505] lr: 5.0000e-05 eta: 1 day, 19:25:32 time: 0.8634 data_time: 0.0318 memory: 32752 grad_norm: 33.2476 top1_acc: 0.1667 top5_acc: 0.2500 loss_cls: 5.0346 loss: 5.0346 2022/07/29 14:04:22 - mmengine - INFO - Epoch(train) [1][1080/2505] lr: 5.0000e-05 eta: 1 day, 19:26:05 time: 1.1042 data_time: 0.0341 memory: 32752 grad_norm: 32.5240 top1_acc: 0.0000 top5_acc: 0.1667 loss_cls: 4.9324 loss: 4.9324 2022/07/29 14:04:40 - mmengine - INFO - Epoch(train) [1][1100/2505] lr: 5.0000e-05 eta: 1 day, 19:18:48 time: 0.9260 data_time: 0.0273 memory: 32752 grad_norm: 33.2994 top1_acc: 0.0000 top5_acc: 0.1667 loss_cls: 4.8767 loss: 4.8767 2022/07/29 14:05:01 - mmengine - INFO - Epoch(train) [1][1120/2505] lr: 5.0000e-05 eta: 1 day, 19:16:20 time: 1.0324 data_time: 0.0301 memory: 32752 grad_norm: 35.2214 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 4.6187 loss: 4.6187 2022/07/29 14:05:22 - mmengine - INFO - Epoch(train) [1][1140/2505] lr: 5.0000e-05 eta: 1 day, 19:15:03 time: 1.0587 data_time: 0.0343 memory: 32752 grad_norm: 35.4947 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 4.5309 loss: 4.5309 2022/07/29 14:05:40 - mmengine - INFO - Epoch(train) [1][1160/2505] lr: 5.0000e-05 eta: 1 day, 19:07:11 time: 0.8989 data_time: 0.0296 memory: 32752 grad_norm: 35.2820 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 4.6685 loss: 4.6685 2022/07/29 14:06:00 - mmengine - INFO - Epoch(train) [1][1180/2505] lr: 5.0000e-05 eta: 1 day, 19:03:22 time: 0.9918 data_time: 0.0305 memory: 32752 grad_norm: 36.2128 top1_acc: 0.1667 top5_acc: 0.4167 loss_cls: 4.7337 loss: 4.7337 2022/07/29 14:06:18 - mmengine - INFO - Epoch(train) [1][1200/2505] lr: 5.0000e-05 eta: 1 day, 18:56:46 time: 0.9198 data_time: 0.0284 memory: 32752 grad_norm: 37.2358 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 4.5609 loss: 4.5609 2022/07/29 14:06:40 - mmengine - INFO - Epoch(train) [1][1220/2505] lr: 5.0000e-05 eta: 1 day, 18:57:07 time: 1.0911 data_time: 0.0341 memory: 32752 grad_norm: 37.0173 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7517 loss: 4.7517 2022/07/29 14:06:57 - mmengine - INFO - Epoch(train) [1][1240/2505] lr: 5.0000e-05 eta: 1 day, 18:48:52 time: 0.8693 data_time: 0.0318 memory: 32752 grad_norm: 37.7462 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 4.5503 loss: 4.5503 2022/07/29 14:07:19 - mmengine - INFO - Epoch(train) [1][1260/2505] lr: 5.0000e-05 eta: 1 day, 18:48:30 time: 1.0695 data_time: 0.0272 memory: 32752 grad_norm: 38.0424 top1_acc: 0.0833 top5_acc: 0.3333 loss_cls: 4.5325 loss: 4.5325 2022/07/29 14:07:38 - mmengine - INFO - Epoch(train) [1][1280/2505] lr: 5.0000e-05 eta: 1 day, 18:43:18 time: 0.9409 data_time: 0.0301 memory: 32752 grad_norm: 38.3535 top1_acc: 0.0833 top5_acc: 0.3333 loss_cls: 4.5371 loss: 4.5371 2022/07/29 14:07:57 - mmengine - INFO - Epoch(train) [1][1300/2505] lr: 5.0000e-05 eta: 1 day, 18:40:06 time: 0.9910 data_time: 0.0273 memory: 32752 grad_norm: 38.6360 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3790 loss: 4.3790 2022/07/29 14:08:16 - mmengine - INFO - Epoch(train) [1][1320/2505] lr: 5.0000e-05 eta: 1 day, 18:33:50 time: 0.9041 data_time: 0.0594 memory: 32752 grad_norm: 39.7313 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 4.2192 loss: 4.2192 2022/07/29 14:08:42 - mmengine - INFO - Epoch(train) [1][1340/2505] lr: 5.0000e-05 eta: 1 day, 18:42:53 time: 1.3269 data_time: 0.2442 memory: 32752 grad_norm: 39.9089 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 4.1418 loss: 4.1418 2022/07/29 14:08:57 - mmengine - INFO - Epoch(train) [1][1360/2505] lr: 5.0000e-05 eta: 1 day, 18:31:56 time: 0.7683 data_time: 0.0271 memory: 32752 grad_norm: 40.1624 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 4.0632 loss: 4.0632 2022/07/29 14:09:21 - mmengine - INFO - Epoch(train) [1][1380/2505] lr: 5.0000e-05 eta: 1 day, 18:36:24 time: 1.2025 data_time: 0.0300 memory: 32752 grad_norm: 41.6242 top1_acc: 0.1667 top5_acc: 0.2500 loss_cls: 4.2334 loss: 4.2334 2022/07/29 14:09:43 - mmengine - INFO - Epoch(train) [1][1400/2505] lr: 5.0000e-05 eta: 1 day, 18:37:06 time: 1.0963 data_time: 0.0322 memory: 32752 grad_norm: 41.5131 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 4.2283 loss: 4.2283 2022/07/29 14:10:04 - mmengine - INFO - Epoch(train) [1][1420/2505] lr: 5.0000e-05 eta: 1 day, 18:35:05 time: 1.0172 data_time: 0.0770 memory: 32752 grad_norm: 42.0868 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 4.1295 loss: 4.1295 2022/07/29 14:10:23 - mmengine - INFO - Epoch(train) [1][1440/2505] lr: 5.0000e-05 eta: 1 day, 18:32:03 time: 0.9850 data_time: 0.3334 memory: 32752 grad_norm: 43.1702 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 3.8082 loss: 3.8082 2022/07/29 14:10:46 - mmengine - INFO - Epoch(train) [1][1460/2505] lr: 5.0000e-05 eta: 1 day, 18:34:28 time: 1.1492 data_time: 0.2233 memory: 32752 grad_norm: 43.3989 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 3.9811 loss: 3.9811 2022/07/29 14:11:04 - mmengine - INFO - Epoch(train) [1][1480/2505] lr: 5.0000e-05 eta: 1 day, 18:27:25 time: 0.8587 data_time: 0.1138 memory: 32752 grad_norm: 42.9053 top1_acc: 0.4167 top5_acc: 0.4167 loss_cls: 3.6762 loss: 3.6762 2022/07/29 14:11:27 - mmengine - INFO - Epoch(train) [1][1500/2505] lr: 5.0000e-05 eta: 1 day, 18:30:12 time: 1.1610 data_time: 0.2303 memory: 32752 grad_norm: 45.9317 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 4.1365 loss: 4.1365 2022/07/29 14:11:45 - mmengine - INFO - Epoch(train) [1][1520/2505] lr: 5.0000e-05 eta: 1 day, 18:24:15 time: 0.8868 data_time: 0.0382 memory: 32752 grad_norm: 43.3527 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 3.9945 loss: 3.9945 2022/07/29 14:12:03 - mmengine - INFO - Epoch(train) [1][1540/2505] lr: 5.0000e-05 eta: 1 day, 18:19:41 time: 0.9263 data_time: 0.0296 memory: 32752 grad_norm: 45.5491 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9200 loss: 3.9200 2022/07/29 14:12:22 - mmengine - INFO - Epoch(train) [1][1560/2505] lr: 5.0000e-05 eta: 1 day, 18:15:28 time: 0.9343 data_time: 0.0271 memory: 32752 grad_norm: 43.9966 top1_acc: 0.0833 top5_acc: 0.4167 loss_cls: 3.8213 loss: 3.8213 2022/07/29 14:12:43 - mmengine - INFO - Epoch(train) [1][1580/2505] lr: 5.0000e-05 eta: 1 day, 18:15:05 time: 1.0572 data_time: 0.0281 memory: 32752 grad_norm: 45.5693 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 4.0256 loss: 4.0256 2022/07/29 14:13:07 - mmengine - INFO - Epoch(train) [1][1600/2505] lr: 5.0000e-05 eta: 1 day, 18:18:50 time: 1.1959 data_time: 0.0285 memory: 32752 grad_norm: 42.6622 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 3.7298 loss: 3.7298 2022/07/29 14:13:32 - mmengine - INFO - Epoch(train) [1][1620/2505] lr: 5.0000e-05 eta: 1 day, 18:24:47 time: 1.2734 data_time: 0.0337 memory: 32752 grad_norm: 44.9355 top1_acc: 0.1667 top5_acc: 0.4167 loss_cls: 3.7172 loss: 3.7172 2022/07/29 14:13:51 - mmengine - INFO - Epoch(train) [1][1640/2505] lr: 5.0000e-05 eta: 1 day, 18:20:57 time: 0.9434 data_time: 0.0354 memory: 32752 grad_norm: 43.9401 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6191 loss: 3.6191 2022/07/29 14:14:15 - mmengine - INFO - Epoch(train) [1][1660/2505] lr: 5.0000e-05 eta: 1 day, 18:23:54 time: 1.1757 data_time: 0.2200 memory: 32752 grad_norm: 44.9671 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.5488 loss: 3.5488 2022/07/29 14:14:34 - mmengine - INFO - Epoch(train) [1][1680/2505] lr: 5.0000e-05 eta: 1 day, 18:20:11 time: 0.9448 data_time: 0.0580 memory: 32752 grad_norm: 47.3427 top1_acc: 0.1667 top5_acc: 0.4167 loss_cls: 3.4560 loss: 3.4560 2022/07/29 14:14:53 - mmengine - INFO - Epoch(train) [1][1700/2505] lr: 5.0000e-05 eta: 1 day, 18:17:49 time: 0.9900 data_time: 0.0354 memory: 32752 grad_norm: 44.8450 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 3.3730 loss: 3.3730 2022/07/29 14:15:14 - mmengine - INFO - Epoch(train) [1][1720/2505] lr: 5.0000e-05 eta: 1 day, 18:16:31 time: 1.0263 data_time: 0.0438 memory: 32752 grad_norm: 45.4899 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 3.5767 loss: 3.5767 2022/07/29 14:15:39 - mmengine - INFO - Epoch(train) [1][1740/2505] lr: 5.0000e-05 eta: 1 day, 18:21:13 time: 1.2436 data_time: 0.0892 memory: 32752 grad_norm: 44.9442 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 3.5245 loss: 3.5245 2022/07/29 14:16:04 - mmengine - INFO - Epoch(train) [1][1760/2505] lr: 5.0000e-05 eta: 1 day, 18:25:42 time: 1.2407 data_time: 0.4964 memory: 32752 grad_norm: 45.4873 top1_acc: 0.1667 top5_acc: 0.4167 loss_cls: 3.6812 loss: 3.6812 2022/07/29 14:16:18 - mmengine - INFO - Epoch(train) [1][1780/2505] lr: 5.0000e-05 eta: 1 day, 18:15:30 time: 0.6974 data_time: 0.1265 memory: 32752 grad_norm: 48.3906 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 3.6915 loss: 3.6915 2022/07/29 14:16:39 - mmengine - INFO - Epoch(train) [1][1800/2505] lr: 5.0000e-05 eta: 1 day, 18:15:32 time: 1.0749 data_time: 0.4947 memory: 32752 grad_norm: 44.2934 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 3.6891 loss: 3.6891 2022/07/29 14:17:05 - mmengine - INFO - Epoch(train) [1][1820/2505] lr: 5.0000e-05 eta: 1 day, 18:22:05 time: 1.3229 data_time: 0.0686 memory: 32752 grad_norm: 47.0888 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 3.3782 loss: 3.3782 2022/07/29 14:17:21 - mmengine - INFO - Epoch(train) [1][1840/2505] lr: 5.0000e-05 eta: 1 day, 18:14:05 time: 0.7689 data_time: 0.0273 memory: 32752 grad_norm: 45.1508 top1_acc: 0.1667 top5_acc: 0.4167 loss_cls: 3.2668 loss: 3.2668 2022/07/29 14:17:49 - mmengine - INFO - Epoch(train) [1][1860/2505] lr: 5.0000e-05 eta: 1 day, 18:22:20 time: 1.3947 data_time: 0.0609 memory: 32752 grad_norm: 45.5901 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 3.3622 loss: 3.3622 2022/07/29 14:18:06 - mmengine - INFO - Epoch(train) [1][1880/2505] lr: 5.0000e-05 eta: 1 day, 18:16:18 time: 0.8400 data_time: 0.2144 memory: 32752 grad_norm: 43.8196 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 3.2720 loss: 3.2720 2022/07/29 14:18:28 - mmengine - INFO - Epoch(train) [1][1900/2505] lr: 5.0000e-05 eta: 1 day, 18:16:53 time: 1.0984 data_time: 0.2079 memory: 32752 grad_norm: 44.7717 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 3.3908 loss: 3.3908 2022/07/29 14:18:46 - mmengine - INFO - Epoch(train) [1][1920/2505] lr: 5.0000e-05 eta: 1 day, 18:13:20 time: 0.9333 data_time: 0.0453 memory: 32752 grad_norm: 45.2950 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 3.1063 loss: 3.1063 2022/07/29 14:19:07 - mmengine - INFO - Epoch(train) [1][1940/2505] lr: 5.0000e-05 eta: 1 day, 18:12:34 time: 1.0435 data_time: 0.0936 memory: 32752 grad_norm: 44.7597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0480 loss: 3.0480 2022/07/29 14:19:33 - mmengine - INFO - Epoch(train) [1][1960/2505] lr: 5.0000e-05 eta: 1 day, 18:18:05 time: 1.3008 data_time: 0.5891 memory: 32752 grad_norm: 47.8883 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 3.4766 loss: 3.4766 2022/07/29 14:19:53 - mmengine - INFO - Epoch(train) [1][1980/2505] lr: 5.0000e-05 eta: 1 day, 18:16:17 time: 1.0022 data_time: 0.2118 memory: 32752 grad_norm: 45.9588 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 3.0514 loss: 3.0514 2022/07/29 14:20:25 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 14:20:25 - mmengine - INFO - Epoch(train) [1][2000/2505] lr: 5.0000e-05 eta: 1 day, 18:28:55 time: 1.6058 data_time: 0.4889 memory: 32752 grad_norm: 48.1694 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 3.1790 loss: 3.1790 2022/07/29 14:20:46 - mmengine - INFO - Epoch(train) [1][2020/2505] lr: 5.0000e-05 eta: 1 day, 18:27:29 time: 1.0220 data_time: 0.1247 memory: 32752 grad_norm: 48.9655 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 3.8132 loss: 3.8132 2022/07/29 14:21:06 - mmengine - INFO - Epoch(train) [1][2040/2505] lr: 5.0000e-05 eta: 1 day, 18:26:08 time: 1.0245 data_time: 0.0687 memory: 32752 grad_norm: 44.9297 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 3.3363 loss: 3.3363 2022/07/29 14:21:25 - mmengine - INFO - Epoch(train) [1][2060/2505] lr: 5.0000e-05 eta: 1 day, 18:22:57 time: 0.9439 data_time: 0.0359 memory: 32752 grad_norm: 46.2662 top1_acc: 0.0833 top5_acc: 0.3333 loss_cls: 3.4362 loss: 3.4362 2022/07/29 14:21:46 - mmengine - INFO - Epoch(train) [1][2080/2505] lr: 5.0000e-05 eta: 1 day, 18:22:15 time: 1.0505 data_time: 0.0289 memory: 32752 grad_norm: 45.7093 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5072 loss: 3.5072 2022/07/29 14:22:14 - mmengine - INFO - Epoch(train) [1][2100/2505] lr: 5.0000e-05 eta: 1 day, 18:29:22 time: 1.3935 data_time: 0.0836 memory: 32752 grad_norm: 46.3000 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3878 loss: 3.3878 2022/07/29 14:22:44 - mmengine - INFO - Epoch(train) [1][2120/2505] lr: 5.0000e-05 eta: 1 day, 18:39:09 time: 1.5190 data_time: 0.0837 memory: 32752 grad_norm: 46.1749 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.8956 loss: 2.8956 2022/07/29 14:23:10 - mmengine - INFO - Epoch(train) [1][2140/2505] lr: 5.0000e-05 eta: 1 day, 18:43:09 time: 1.2675 data_time: 0.0598 memory: 32752 grad_norm: 47.6957 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.8851 loss: 2.8851 2022/07/29 14:23:34 - mmengine - INFO - Epoch(train) [1][2160/2505] lr: 5.0000e-05 eta: 1 day, 18:45:38 time: 1.2032 data_time: 0.0648 memory: 32752 grad_norm: 46.4253 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 3.2220 loss: 3.2220 2022/07/29 14:23:51 - mmengine - INFO - Epoch(train) [1][2180/2505] lr: 5.0000e-05 eta: 1 day, 18:40:18 time: 0.8486 data_time: 0.1340 memory: 32752 grad_norm: 47.1287 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 3.0657 loss: 3.0657 2022/07/29 14:24:16 - mmengine - INFO - Epoch(train) [1][2200/2505] lr: 5.0000e-05 eta: 1 day, 18:44:06 time: 1.2647 data_time: 0.1792 memory: 32752 grad_norm: 48.8975 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 3.1675 loss: 3.1675 2022/07/29 14:24:47 - mmengine - INFO - Epoch(train) [1][2220/2505] lr: 5.0000e-05 eta: 1 day, 18:53:30 time: 1.5296 data_time: 0.1113 memory: 32752 grad_norm: 44.0302 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 3.0352 loss: 3.0352 2022/07/29 14:25:08 - mmengine - INFO - Epoch(train) [1][2240/2505] lr: 5.0000e-05 eta: 1 day, 18:53:10 time: 1.0808 data_time: 0.2585 memory: 32752 grad_norm: 46.0874 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 3.2046 loss: 3.2046 2022/07/29 14:25:24 - mmengine - INFO - Epoch(train) [1][2260/2505] lr: 5.0000e-05 eta: 1 day, 18:47:09 time: 0.8111 data_time: 0.0754 memory: 32752 grad_norm: 48.9424 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 3.1104 loss: 3.1104 2022/07/29 14:25:51 - mmengine - INFO - Epoch(train) [1][2280/2505] lr: 5.0000e-05 eta: 1 day, 18:52:01 time: 1.3265 data_time: 0.0746 memory: 32752 grad_norm: 45.7360 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.9627 loss: 2.9627 2022/07/29 14:26:11 - mmengine - INFO - Epoch(train) [1][2300/2505] lr: 5.0000e-05 eta: 1 day, 18:50:26 time: 1.0201 data_time: 0.0629 memory: 32752 grad_norm: 46.4490 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 3.1583 loss: 3.1583 2022/07/29 14:26:32 - mmengine - INFO - Epoch(train) [1][2320/2505] lr: 5.0000e-05 eta: 1 day, 18:49:15 time: 1.0387 data_time: 0.0557 memory: 32752 grad_norm: 45.9161 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 2.7268 loss: 2.7268 2022/07/29 14:26:53 - mmengine - INFO - Epoch(train) [1][2340/2505] lr: 5.0000e-05 eta: 1 day, 18:48:14 time: 1.0454 data_time: 0.0408 memory: 32752 grad_norm: 47.0762 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1685 loss: 3.1685 2022/07/29 14:27:17 - mmengine - INFO - Epoch(train) [1][2360/2505] lr: 5.0000e-05 eta: 1 day, 18:50:01 time: 1.1845 data_time: 0.0494 memory: 32752 grad_norm: 45.3657 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.9962 loss: 2.9962 2022/07/29 14:27:40 - mmengine - INFO - Epoch(train) [1][2380/2505] lr: 5.0000e-05 eta: 1 day, 18:51:14 time: 1.1571 data_time: 0.0635 memory: 32752 grad_norm: 45.9694 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.8897 loss: 2.8897 2022/07/29 14:28:04 - mmengine - INFO - Epoch(train) [1][2400/2505] lr: 5.0000e-05 eta: 1 day, 18:53:36 time: 1.2169 data_time: 0.0449 memory: 32752 grad_norm: 45.3951 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.9776 loss: 2.9776 2022/07/29 14:28:24 - mmengine - INFO - Epoch(train) [1][2420/2505] lr: 5.0000e-05 eta: 1 day, 18:51:14 time: 0.9789 data_time: 0.0278 memory: 32752 grad_norm: 46.5496 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 3.2772 loss: 3.2772 2022/07/29 14:28:44 - mmengine - INFO - Epoch(train) [1][2440/2505] lr: 5.0000e-05 eta: 1 day, 18:49:16 time: 0.9979 data_time: 0.3156 memory: 32752 grad_norm: 46.8436 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.9292 loss: 2.9292 2022/07/29 14:29:06 - mmengine - INFO - Epoch(train) [1][2460/2505] lr: 5.0000e-05 eta: 1 day, 18:49:06 time: 1.0891 data_time: 0.4750 memory: 32752 grad_norm: 46.5023 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 3.0025 loss: 3.0025 2022/07/29 14:29:22 - mmengine - INFO - Epoch(train) [1][2480/2505] lr: 5.0000e-05 eta: 1 day, 18:43:36 time: 0.8109 data_time: 0.1998 memory: 32752 grad_norm: 46.4140 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6791 loss: 2.6791 2022/07/29 14:29:41 - mmengine - INFO - Epoch(train) [1][2500/2505] lr: 5.0000e-05 eta: 1 day, 18:41:16 time: 0.9734 data_time: 0.3904 memory: 32752 grad_norm: 46.7779 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.9588 loss: 2.9588 2022/07/29 14:30:08 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 14:30:08 - mmengine - INFO - Epoch(train) [1][2505/2505] lr: 5.0000e-05 eta: 1 day, 18:41:16 time: 2.0355 data_time: 0.2603 memory: 56557 grad_norm: 47.6662 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.9893 loss: 2.9893 2022/07/29 14:30:41 - mmengine - INFO - Epoch(train) [2][20/2505] lr: 8.0000e-05 eta: 1 day, 18:46:09 time: 1.6285 data_time: 0.5883 memory: 32752 grad_norm: 51.1738 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 2.8851 loss: 2.8851 2022/07/29 14:30:57 - mmengine - INFO - Epoch(train) [2][40/2505] lr: 8.0000e-05 eta: 1 day, 18:41:08 time: 0.8290 data_time: 0.0254 memory: 32752 grad_norm: 45.4267 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.8179 loss: 2.8179 2022/07/29 14:31:18 - mmengine - INFO - Epoch(train) [2][60/2505] lr: 8.0000e-05 eta: 1 day, 18:40:20 time: 1.0530 data_time: 0.0360 memory: 32752 grad_norm: 44.0199 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 3.2630 loss: 3.2630 2022/07/29 14:31:48 - mmengine - INFO - Epoch(train) [2][80/2505] lr: 8.0000e-05 eta: 1 day, 18:47:15 time: 1.4719 data_time: 0.0463 memory: 32752 grad_norm: 47.1899 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8635 loss: 2.8635 2022/07/29 14:32:09 - mmengine - INFO - Epoch(train) [2][100/2505] lr: 8.0000e-05 eta: 1 day, 18:46:29 time: 1.0571 data_time: 0.0835 memory: 32752 grad_norm: 47.2385 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9518 loss: 2.9518 2022/07/29 14:32:27 - mmengine - INFO - Epoch(train) [2][120/2505] lr: 8.0000e-05 eta: 1 day, 18:42:41 time: 0.8889 data_time: 0.0330 memory: 32752 grad_norm: 47.1816 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6771 loss: 2.6771 2022/07/29 14:32:49 - mmengine - INFO - Epoch(train) [2][140/2505] lr: 8.0000e-05 eta: 1 day, 18:43:01 time: 1.1167 data_time: 0.0620 memory: 32752 grad_norm: 47.8446 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.5924 loss: 2.5924 2022/07/29 14:33:12 - mmengine - INFO - Epoch(train) [2][160/2505] lr: 8.0000e-05 eta: 1 day, 18:43:20 time: 1.1162 data_time: 0.1534 memory: 32752 grad_norm: 44.7700 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.9167 loss: 2.9167 2022/07/29 14:33:32 - mmengine - INFO - Epoch(train) [2][180/2505] lr: 8.0000e-05 eta: 1 day, 18:41:42 time: 1.0058 data_time: 0.1510 memory: 32752 grad_norm: 44.8692 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.7563 loss: 2.7563 2022/07/29 14:33:49 - mmengine - INFO - Epoch(train) [2][200/2505] lr: 8.0000e-05 eta: 1 day, 18:37:17 time: 0.8475 data_time: 0.0328 memory: 32752 grad_norm: 47.5741 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.5839 loss: 2.5839 2022/07/29 14:34:14 - mmengine - INFO - Epoch(train) [2][220/2505] lr: 8.0000e-05 eta: 1 day, 18:39:55 time: 1.2469 data_time: 0.0426 memory: 32752 grad_norm: 47.2071 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.5570 loss: 2.5570 2022/07/29 14:34:30 - mmengine - INFO - Epoch(train) [2][240/2505] lr: 8.0000e-05 eta: 1 day, 18:35:09 time: 0.8228 data_time: 0.0303 memory: 32752 grad_norm: 44.7007 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.8202 loss: 2.8202 2022/07/29 14:34:49 - mmengine - INFO - Epoch(train) [2][260/2505] lr: 8.0000e-05 eta: 1 day, 18:33:00 time: 0.9713 data_time: 0.0313 memory: 32752 grad_norm: 47.2665 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.8784 loss: 2.8784 2022/07/29 14:35:11 - mmengine - INFO - Epoch(train) [2][280/2505] lr: 8.0000e-05 eta: 1 day, 18:33:05 time: 1.1010 data_time: 0.1782 memory: 32752 grad_norm: 46.7434 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.7370 loss: 2.7370 2022/07/29 14:35:29 - mmengine - INFO - Epoch(train) [2][300/2505] lr: 8.0000e-05 eta: 1 day, 18:29:11 time: 0.8655 data_time: 0.1469 memory: 32752 grad_norm: 46.6635 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.9268 loss: 2.9268 2022/07/29 14:35:49 - mmengine - INFO - Epoch(train) [2][320/2505] lr: 8.0000e-05 eta: 1 day, 18:27:32 time: 0.9970 data_time: 0.2457 memory: 32752 grad_norm: 45.4100 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.4236 loss: 2.4236 2022/07/29 14:36:10 - mmengine - INFO - Epoch(train) [2][340/2505] lr: 8.0000e-05 eta: 1 day, 18:27:05 time: 1.0671 data_time: 0.2619 memory: 32752 grad_norm: 43.1747 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.7055 loss: 2.7055 2022/07/29 14:36:30 - mmengine - INFO - Epoch(train) [2][360/2505] lr: 8.0000e-05 eta: 1 day, 18:25:53 time: 1.0217 data_time: 0.2164 memory: 32752 grad_norm: 45.9578 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.6699 loss: 2.6699 2022/07/29 14:36:52 - mmengine - INFO - Epoch(train) [2][380/2505] lr: 8.0000e-05 eta: 1 day, 18:25:16 time: 1.0574 data_time: 0.3351 memory: 32752 grad_norm: 45.4874 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.9230 loss: 2.9230 2022/07/29 14:37:14 - mmengine - INFO - Epoch(train) [2][400/2505] lr: 8.0000e-05 eta: 1 day, 18:25:29 time: 1.1068 data_time: 0.3039 memory: 32752 grad_norm: 44.5408 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.4680 loss: 2.4680 2022/07/29 14:37:34 - mmengine - INFO - Epoch(train) [2][420/2505] lr: 8.0000e-05 eta: 1 day, 18:24:27 time: 1.0315 data_time: 0.1905 memory: 32752 grad_norm: 46.9400 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.5856 loss: 2.5856 2022/07/29 14:37:53 - mmengine - INFO - Epoch(train) [2][440/2505] lr: 8.0000e-05 eta: 1 day, 18:22:06 time: 0.9486 data_time: 0.2750 memory: 32752 grad_norm: 46.6537 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.5523 loss: 2.5523 2022/07/29 14:38:14 - mmengine - INFO - Epoch(train) [2][460/2505] lr: 8.0000e-05 eta: 1 day, 18:20:46 time: 1.0110 data_time: 0.1347 memory: 32752 grad_norm: 45.1530 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.6456 loss: 2.6456 2022/07/29 14:38:34 - mmengine - INFO - Epoch(train) [2][480/2505] lr: 8.0000e-05 eta: 1 day, 18:19:31 time: 1.0147 data_time: 0.0490 memory: 32752 grad_norm: 43.7658 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.7235 loss: 2.7235 2022/07/29 14:38:47 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 14:38:53 - mmengine - INFO - Epoch(train) [2][500/2505] lr: 8.0000e-05 eta: 1 day, 18:17:06 time: 0.9402 data_time: 0.1637 memory: 32752 grad_norm: 47.2609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5152 loss: 2.5152 2022/07/29 14:39:13 - mmengine - INFO - Epoch(train) [2][520/2505] lr: 8.0000e-05 eta: 1 day, 18:16:17 time: 1.0409 data_time: 0.2452 memory: 32752 grad_norm: 43.8020 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.4727 loss: 2.4727 2022/07/29 14:39:33 - mmengine - INFO - Epoch(train) [2][540/2505] lr: 8.0000e-05 eta: 1 day, 18:14:30 time: 0.9774 data_time: 0.1449 memory: 32752 grad_norm: 45.7733 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 2.5623 loss: 2.5623 2022/07/29 14:39:54 - mmengine - INFO - Epoch(train) [2][560/2505] lr: 8.0000e-05 eta: 1 day, 18:13:28 time: 1.0258 data_time: 0.0494 memory: 32752 grad_norm: 44.4043 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.5075 loss: 2.5075 2022/07/29 14:40:19 - mmengine - INFO - Epoch(train) [2][580/2505] lr: 8.0000e-05 eta: 1 day, 18:16:38 time: 1.2978 data_time: 0.0277 memory: 32752 grad_norm: 44.4654 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.8748 loss: 2.8748 2022/07/29 14:40:45 - mmengine - INFO - Epoch(train) [2][600/2505] lr: 8.0000e-05 eta: 1 day, 18:19:09 time: 1.2584 data_time: 0.0389 memory: 32752 grad_norm: 43.9220 top1_acc: 0.1667 top5_acc: 0.6667 loss_cls: 2.6656 loss: 2.6656 2022/07/29 14:41:03 - mmengine - INFO - Epoch(train) [2][620/2505] lr: 8.0000e-05 eta: 1 day, 18:16:33 time: 0.9238 data_time: 0.0526 memory: 32752 grad_norm: 43.6484 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.6081 loss: 2.6081 2022/07/29 14:41:22 - mmengine - INFO - Epoch(train) [2][640/2505] lr: 8.0000e-05 eta: 1 day, 18:14:36 time: 0.9646 data_time: 0.0333 memory: 32752 grad_norm: 45.6936 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.4988 loss: 2.4988 2022/07/29 14:41:46 - mmengine - INFO - Epoch(train) [2][660/2505] lr: 8.0000e-05 eta: 1 day, 18:16:03 time: 1.1899 data_time: 0.0276 memory: 32752 grad_norm: 45.6048 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 2.6374 loss: 2.6374 2022/07/29 14:42:08 - mmengine - INFO - Epoch(train) [2][680/2505] lr: 8.0000e-05 eta: 1 day, 18:15:36 time: 1.0645 data_time: 0.0393 memory: 32752 grad_norm: 44.2299 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.5357 loss: 2.5357 2022/07/29 14:42:28 - mmengine - INFO - Epoch(train) [2][700/2505] lr: 8.0000e-05 eta: 1 day, 18:14:48 time: 1.0411 data_time: 0.0329 memory: 32752 grad_norm: 44.5691 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.6395 loss: 2.6395 2022/07/29 14:42:51 - mmengine - INFO - Epoch(train) [2][720/2505] lr: 8.0000e-05 eta: 1 day, 18:15:02 time: 1.1101 data_time: 0.3442 memory: 32752 grad_norm: 43.9125 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5798 loss: 2.5798 2022/07/29 14:43:09 - mmengine - INFO - Epoch(train) [2][740/2505] lr: 8.0000e-05 eta: 1 day, 18:12:45 time: 0.9385 data_time: 0.1763 memory: 32752 grad_norm: 44.9732 top1_acc: 0.4167 top5_acc: 0.4167 loss_cls: 2.7626 loss: 2.7626 2022/07/29 14:43:32 - mmengine - INFO - Epoch(train) [2][760/2505] lr: 8.0000e-05 eta: 1 day, 18:13:27 time: 1.1435 data_time: 0.0313 memory: 32752 grad_norm: 45.3589 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.5582 loss: 2.5582 2022/07/29 14:43:53 - mmengine - INFO - Epoch(train) [2][780/2505] lr: 8.0000e-05 eta: 1 day, 18:12:37 time: 1.0375 data_time: 0.0298 memory: 32752 grad_norm: 43.0286 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.4715 loss: 2.4715 2022/07/29 14:44:11 - mmengine - INFO - Epoch(train) [2][800/2505] lr: 8.0000e-05 eta: 1 day, 18:10:10 time: 0.9238 data_time: 0.0306 memory: 32752 grad_norm: 45.3797 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.5220 loss: 2.5220 2022/07/29 14:44:32 - mmengine - INFO - Epoch(train) [2][820/2505] lr: 8.0000e-05 eta: 1 day, 18:09:15 time: 1.0296 data_time: 0.0254 memory: 32752 grad_norm: 43.5650 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 2.6039 loss: 2.6039 2022/07/29 14:44:53 - mmengine - INFO - Epoch(train) [2][840/2505] lr: 8.0000e-05 eta: 1 day, 18:08:50 time: 1.0648 data_time: 0.0315 memory: 32752 grad_norm: 42.7007 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.4062 loss: 2.4062 2022/07/29 14:45:12 - mmengine - INFO - Epoch(train) [2][860/2505] lr: 8.0000e-05 eta: 1 day, 18:06:52 time: 0.9538 data_time: 0.0282 memory: 32752 grad_norm: 41.8416 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.4814 loss: 2.4814 2022/07/29 14:45:32 - mmengine - INFO - Epoch(train) [2][880/2505] lr: 8.0000e-05 eta: 1 day, 18:05:13 time: 0.9758 data_time: 0.0278 memory: 32752 grad_norm: 41.7813 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.6283 loss: 2.6283 2022/07/29 14:45:58 - mmengine - INFO - Epoch(train) [2][900/2505] lr: 8.0000e-05 eta: 1 day, 18:08:18 time: 1.3151 data_time: 0.0860 memory: 32752 grad_norm: 43.0521 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 2.5854 loss: 2.5854 2022/07/29 14:46:16 - mmengine - INFO - Epoch(train) [2][920/2505] lr: 8.0000e-05 eta: 1 day, 18:05:48 time: 0.9147 data_time: 0.0353 memory: 32752 grad_norm: 45.8160 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.3984 loss: 2.3984 2022/07/29 14:46:39 - mmengine - INFO - Epoch(train) [2][940/2505] lr: 8.0000e-05 eta: 1 day, 18:06:00 time: 1.1079 data_time: 0.0294 memory: 32752 grad_norm: 43.7510 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5784 loss: 2.5784 2022/07/29 14:46:56 - mmengine - INFO - Epoch(train) [2][960/2505] lr: 8.0000e-05 eta: 1 day, 18:03:10 time: 0.8871 data_time: 0.0374 memory: 32752 grad_norm: 41.2192 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.7243 loss: 2.7243 2022/07/29 14:47:17 - mmengine - INFO - Epoch(train) [2][980/2505] lr: 8.0000e-05 eta: 1 day, 18:02:35 time: 1.0516 data_time: 0.0313 memory: 32752 grad_norm: 43.9109 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.4839 loss: 2.4839 2022/07/29 14:47:35 - mmengine - INFO - Epoch(train) [2][1000/2505] lr: 8.0000e-05 eta: 1 day, 17:59:32 time: 0.8675 data_time: 0.0505 memory: 32752 grad_norm: 42.8738 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.5715 loss: 2.5715 2022/07/29 14:47:57 - mmengine - INFO - Epoch(train) [2][1020/2505] lr: 8.0000e-05 eta: 1 day, 17:59:53 time: 1.1187 data_time: 0.0295 memory: 32752 grad_norm: 44.4433 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4431 loss: 2.4431 2022/07/29 14:48:16 - mmengine - INFO - Epoch(train) [2][1040/2505] lr: 8.0000e-05 eta: 1 day, 17:58:09 time: 0.9625 data_time: 0.0383 memory: 32752 grad_norm: 42.5633 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.5659 loss: 2.5659 2022/07/29 14:48:34 - mmengine - INFO - Epoch(train) [2][1060/2505] lr: 8.0000e-05 eta: 1 day, 17:55:16 time: 0.8749 data_time: 0.0331 memory: 32752 grad_norm: 42.9889 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.3530 loss: 2.3530 2022/07/29 14:48:54 - mmengine - INFO - Epoch(train) [2][1080/2505] lr: 8.0000e-05 eta: 1 day, 17:54:14 time: 1.0142 data_time: 0.0353 memory: 32752 grad_norm: 42.5108 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 2.3811 loss: 2.3811 2022/07/29 14:49:11 - mmengine - INFO - Epoch(train) [2][1100/2505] lr: 8.0000e-05 eta: 1 day, 17:51:15 time: 0.8636 data_time: 0.0313 memory: 32752 grad_norm: 43.9994 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.4375 loss: 2.4375 2022/07/29 14:49:32 - mmengine - INFO - Epoch(train) [2][1120/2505] lr: 8.0000e-05 eta: 1 day, 17:50:23 time: 1.0236 data_time: 0.0286 memory: 32752 grad_norm: 42.7252 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.3513 loss: 2.3513 2022/07/29 14:49:52 - mmengine - INFO - Epoch(train) [2][1140/2505] lr: 8.0000e-05 eta: 1 day, 17:49:29 time: 1.0222 data_time: 0.0286 memory: 32752 grad_norm: 43.1877 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.1146 loss: 2.1146 2022/07/29 14:50:16 - mmengine - INFO - Epoch(train) [2][1160/2505] lr: 8.0000e-05 eta: 1 day, 17:50:32 time: 1.1717 data_time: 0.2597 memory: 32752 grad_norm: 43.4781 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 2.3841 loss: 2.3841 2022/07/29 14:50:37 - mmengine - INFO - Epoch(train) [2][1180/2505] lr: 8.0000e-05 eta: 1 day, 17:50:19 time: 1.0743 data_time: 0.1545 memory: 32752 grad_norm: 43.2750 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 2.4219 loss: 2.4219 2022/07/29 14:50:54 - mmengine - INFO - Epoch(train) [2][1200/2505] lr: 8.0000e-05 eta: 1 day, 17:47:12 time: 0.8464 data_time: 0.0512 memory: 32752 grad_norm: 42.5386 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.5659 loss: 2.5659 2022/07/29 14:51:18 - mmengine - INFO - Epoch(train) [2][1220/2505] lr: 8.0000e-05 eta: 1 day, 17:48:43 time: 1.2105 data_time: 0.1093 memory: 32752 grad_norm: 43.3490 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.5698 loss: 2.5698 2022/07/29 14:51:37 - mmengine - INFO - Epoch(train) [2][1240/2505] lr: 8.0000e-05 eta: 1 day, 17:46:25 time: 0.9089 data_time: 0.1442 memory: 32752 grad_norm: 42.7375 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1178 loss: 2.1178 2022/07/29 14:52:02 - mmengine - INFO - Epoch(train) [2][1260/2505] lr: 8.0000e-05 eta: 1 day, 17:48:23 time: 1.2481 data_time: 0.5624 memory: 32752 grad_norm: 43.3406 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 2.4903 loss: 2.4903 2022/07/29 14:52:30 - mmengine - INFO - Epoch(train) [2][1280/2505] lr: 8.0000e-05 eta: 1 day, 17:52:45 time: 1.4412 data_time: 0.8261 memory: 32752 grad_norm: 41.1995 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.3236 loss: 2.3236 2022/07/29 14:52:51 - mmengine - INFO - Epoch(train) [2][1300/2505] lr: 8.0000e-05 eta: 1 day, 17:52:04 time: 1.0389 data_time: 0.4293 memory: 32752 grad_norm: 43.1354 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1710 loss: 2.1710 2022/07/29 14:53:18 - mmengine - INFO - Epoch(train) [2][1320/2505] lr: 8.0000e-05 eta: 1 day, 17:55:20 time: 1.3599 data_time: 0.4622 memory: 32752 grad_norm: 41.1185 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.2469 loss: 2.2469 2022/07/29 14:53:44 - mmengine - INFO - Epoch(train) [2][1340/2505] lr: 8.0000e-05 eta: 1 day, 17:57:37 time: 1.2821 data_time: 0.3170 memory: 32752 grad_norm: 43.0198 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 2.0913 loss: 2.0913 2022/07/29 14:54:02 - mmengine - INFO - Epoch(train) [2][1360/2505] lr: 8.0000e-05 eta: 1 day, 17:55:25 time: 0.9167 data_time: 0.0425 memory: 32752 grad_norm: 41.0127 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 2.5445 loss: 2.5445 2022/07/29 14:54:21 - mmengine - INFO - Epoch(train) [2][1380/2505] lr: 8.0000e-05 eta: 1 day, 17:53:15 time: 0.9180 data_time: 0.2653 memory: 32752 grad_norm: 42.2180 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.4800 loss: 2.4800 2022/07/29 14:54:41 - mmengine - INFO - Epoch(train) [2][1400/2505] lr: 8.0000e-05 eta: 1 day, 17:51:59 time: 0.9910 data_time: 0.3359 memory: 32752 grad_norm: 43.3666 top1_acc: 0.1667 top5_acc: 0.7500 loss_cls: 2.1582 loss: 2.1582 2022/07/29 14:54:59 - mmengine - INFO - Epoch(train) [2][1420/2505] lr: 8.0000e-05 eta: 1 day, 17:50:04 time: 0.9355 data_time: 0.1369 memory: 32752 grad_norm: 43.4053 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.7463 loss: 2.7463 2022/07/29 14:55:21 - mmengine - INFO - Epoch(train) [2][1440/2505] lr: 8.0000e-05 eta: 1 day, 17:49:42 time: 1.0642 data_time: 0.1182 memory: 32752 grad_norm: 42.7379 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2407 loss: 2.2407 2022/07/29 14:55:40 - mmengine - INFO - Epoch(train) [2][1460/2505] lr: 8.0000e-05 eta: 1 day, 17:48:17 time: 0.9760 data_time: 0.3098 memory: 32752 grad_norm: 43.3267 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.2046 loss: 2.2046 2022/07/29 14:56:00 - mmengine - INFO - Epoch(train) [2][1480/2505] lr: 8.0000e-05 eta: 1 day, 17:47:13 time: 1.0055 data_time: 0.0721 memory: 32752 grad_norm: 40.1513 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.5077 loss: 2.5077 2022/07/29 14:56:16 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 14:56:19 - mmengine - INFO - Epoch(train) [2][1500/2505] lr: 8.0000e-05 eta: 1 day, 17:45:31 time: 0.9503 data_time: 0.1242 memory: 32752 grad_norm: 41.6940 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.2476 loss: 2.2476 2022/07/29 14:56:39 - mmengine - INFO - Epoch(train) [2][1520/2505] lr: 8.0000e-05 eta: 1 day, 17:44:16 time: 0.9872 data_time: 0.1969 memory: 32752 grad_norm: 40.5363 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0167 loss: 2.0167 2022/07/29 14:56:58 - mmengine - INFO - Epoch(train) [2][1540/2505] lr: 8.0000e-05 eta: 1 day, 17:42:49 time: 0.9697 data_time: 0.2795 memory: 32752 grad_norm: 41.2220 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.4002 loss: 2.4002 2022/07/29 14:57:17 - mmengine - INFO - Epoch(train) [2][1560/2505] lr: 8.0000e-05 eta: 1 day, 17:40:53 time: 0.9267 data_time: 0.2271 memory: 32752 grad_norm: 40.7384 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.3010 loss: 2.3010 2022/07/29 14:57:41 - mmengine - INFO - Epoch(train) [2][1580/2505] lr: 8.0000e-05 eta: 1 day, 17:42:18 time: 1.2154 data_time: 0.4793 memory: 32752 grad_norm: 40.3719 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1328 loss: 2.1328 2022/07/29 14:58:00 - mmengine - INFO - Epoch(train) [2][1600/2505] lr: 8.0000e-05 eta: 1 day, 17:40:43 time: 0.9572 data_time: 0.0763 memory: 32752 grad_norm: 42.2257 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.2164 loss: 2.2164 2022/07/29 14:58:17 - mmengine - INFO - Epoch(train) [2][1620/2505] lr: 8.0000e-05 eta: 1 day, 17:38:01 time: 0.8570 data_time: 0.0290 memory: 32752 grad_norm: 40.2396 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0938 loss: 2.0938 2022/07/29 14:58:39 - mmengine - INFO - Epoch(train) [2][1640/2505] lr: 8.0000e-05 eta: 1 day, 17:38:00 time: 1.0914 data_time: 0.0308 memory: 32752 grad_norm: 41.8642 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.2040 loss: 2.2040 2022/07/29 14:58:56 - mmengine - INFO - Epoch(train) [2][1660/2505] lr: 8.0000e-05 eta: 1 day, 17:35:10 time: 0.8414 data_time: 0.0864 memory: 32752 grad_norm: 40.9472 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.3618 loss: 2.3618 2022/07/29 14:59:19 - mmengine - INFO - Epoch(train) [2][1680/2505] lr: 8.0000e-05 eta: 1 day, 17:35:36 time: 1.1319 data_time: 0.2565 memory: 32752 grad_norm: 42.9100 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 2.2328 loss: 2.2328 2022/07/29 14:59:41 - mmengine - INFO - Epoch(train) [2][1700/2505] lr: 8.0000e-05 eta: 1 day, 17:36:03 time: 1.1324 data_time: 0.3424 memory: 32752 grad_norm: 40.7402 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3178 loss: 2.3178 2022/07/29 15:00:02 - mmengine - INFO - Epoch(train) [2][1720/2505] lr: 8.0000e-05 eta: 1 day, 17:35:36 time: 1.0535 data_time: 0.0501 memory: 32752 grad_norm: 40.8062 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.2324 loss: 2.2324 2022/07/29 15:00:21 - mmengine - INFO - Epoch(train) [2][1740/2505] lr: 8.0000e-05 eta: 1 day, 17:33:35 time: 0.9107 data_time: 0.0529 memory: 32752 grad_norm: 40.7461 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2194 loss: 2.2194 2022/07/29 15:00:41 - mmengine - INFO - Epoch(train) [2][1760/2505] lr: 8.0000e-05 eta: 1 day, 17:32:54 time: 1.0306 data_time: 0.0279 memory: 32752 grad_norm: 41.8628 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.4683 loss: 2.4683 2022/07/29 15:00:59 - mmengine - INFO - Epoch(train) [2][1780/2505] lr: 8.0000e-05 eta: 1 day, 17:30:53 time: 0.9092 data_time: 0.0306 memory: 32752 grad_norm: 38.5453 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 2.4662 loss: 2.4662 2022/07/29 15:01:21 - mmengine - INFO - Epoch(train) [2][1800/2505] lr: 8.0000e-05 eta: 1 day, 17:30:29 time: 1.0554 data_time: 0.0273 memory: 32752 grad_norm: 40.4233 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.4022 loss: 2.4022 2022/07/29 15:01:39 - mmengine - INFO - Epoch(train) [2][1820/2505] lr: 8.0000e-05 eta: 1 day, 17:28:36 time: 0.9199 data_time: 0.0298 memory: 32752 grad_norm: 40.9006 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 2.3274 loss: 2.3274 2022/07/29 15:01:59 - mmengine - INFO - Epoch(train) [2][1840/2505] lr: 8.0000e-05 eta: 1 day, 17:27:31 time: 0.9914 data_time: 0.0269 memory: 32752 grad_norm: 42.1898 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9946 loss: 1.9946 2022/07/29 15:02:24 - mmengine - INFO - Epoch(train) [2][1860/2505] lr: 8.0000e-05 eta: 1 day, 17:29:15 time: 1.2529 data_time: 0.0290 memory: 32752 grad_norm: 40.4534 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.5859 loss: 2.5859 2022/07/29 15:02:42 - mmengine - INFO - Epoch(train) [2][1880/2505] lr: 8.0000e-05 eta: 1 day, 17:27:06 time: 0.8914 data_time: 0.0270 memory: 32752 grad_norm: 40.1064 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1963 loss: 2.1963 2022/07/29 15:03:02 - mmengine - INFO - Epoch(train) [2][1900/2505] lr: 8.0000e-05 eta: 1 day, 17:26:05 time: 0.9975 data_time: 0.0293 memory: 32752 grad_norm: 40.8575 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.2519 loss: 2.2519 2022/07/29 15:03:19 - mmengine - INFO - Epoch(train) [2][1920/2505] lr: 8.0000e-05 eta: 1 day, 17:23:46 time: 0.8728 data_time: 0.0298 memory: 32752 grad_norm: 40.5670 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.1641 loss: 2.1641 2022/07/29 15:03:41 - mmengine - INFO - Epoch(train) [2][1940/2505] lr: 8.0000e-05 eta: 1 day, 17:23:55 time: 1.1067 data_time: 0.0300 memory: 32752 grad_norm: 40.8256 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.2832 loss: 2.2832 2022/07/29 15:03:59 - mmengine - INFO - Epoch(train) [2][1960/2505] lr: 8.0000e-05 eta: 1 day, 17:21:50 time: 0.8928 data_time: 0.0365 memory: 32752 grad_norm: 39.7750 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.3112 loss: 2.3112 2022/07/29 15:04:20 - mmengine - INFO - Epoch(train) [2][1980/2505] lr: 8.0000e-05 eta: 1 day, 17:21:25 time: 1.0509 data_time: 0.0651 memory: 32752 grad_norm: 40.3864 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1852 loss: 2.1852 2022/07/29 15:04:42 - mmengine - INFO - Epoch(train) [2][2000/2505] lr: 8.0000e-05 eta: 1 day, 17:21:16 time: 1.0772 data_time: 0.0378 memory: 32752 grad_norm: 42.4169 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.2404 loss: 2.2404 2022/07/29 15:05:00 - mmengine - INFO - Epoch(train) [2][2020/2505] lr: 8.0000e-05 eta: 1 day, 17:19:30 time: 0.9220 data_time: 0.0294 memory: 32752 grad_norm: 41.7860 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.2347 loss: 2.2347 2022/07/29 15:05:20 - mmengine - INFO - Epoch(train) [2][2040/2505] lr: 8.0000e-05 eta: 1 day, 17:18:18 time: 0.9747 data_time: 0.0318 memory: 32752 grad_norm: 41.4768 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3477 loss: 2.3477 2022/07/29 15:05:39 - mmengine - INFO - Epoch(train) [2][2060/2505] lr: 8.0000e-05 eta: 1 day, 17:16:52 time: 0.9508 data_time: 0.0333 memory: 32752 grad_norm: 40.7034 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1815 loss: 2.1815 2022/07/29 15:05:59 - mmengine - INFO - Epoch(train) [2][2080/2505] lr: 8.0000e-05 eta: 1 day, 17:16:15 time: 1.0296 data_time: 0.0323 memory: 32752 grad_norm: 40.7255 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0566 loss: 2.0566 2022/07/29 15:06:18 - mmengine - INFO - Epoch(train) [2][2100/2505] lr: 8.0000e-05 eta: 1 day, 17:14:43 time: 0.9397 data_time: 0.0335 memory: 32752 grad_norm: 43.7955 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.2551 loss: 2.2551 2022/07/29 15:06:38 - mmengine - INFO - Epoch(train) [2][2120/2505] lr: 8.0000e-05 eta: 1 day, 17:13:39 time: 0.9864 data_time: 0.0377 memory: 32752 grad_norm: 41.6557 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.3808 loss: 2.3808 2022/07/29 15:06:57 - mmengine - INFO - Epoch(train) [2][2140/2505] lr: 8.0000e-05 eta: 1 day, 17:12:31 time: 0.9773 data_time: 0.0755 memory: 32752 grad_norm: 43.0278 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.1595 loss: 2.1595 2022/07/29 15:07:17 - mmengine - INFO - Epoch(train) [2][2160/2505] lr: 8.0000e-05 eta: 1 day, 17:11:43 time: 1.0098 data_time: 0.0914 memory: 32752 grad_norm: 39.8722 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.3072 loss: 2.3072 2022/07/29 15:07:38 - mmengine - INFO - Epoch(train) [2][2180/2505] lr: 8.0000e-05 eta: 1 day, 17:10:58 time: 1.0154 data_time: 0.0408 memory: 32752 grad_norm: 39.4840 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.3714 loss: 2.3714 2022/07/29 15:07:56 - mmengine - INFO - Epoch(train) [2][2200/2505] lr: 8.0000e-05 eta: 1 day, 17:09:09 time: 0.9074 data_time: 0.0303 memory: 32752 grad_norm: 39.6371 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8952 loss: 1.8952 2022/07/29 15:08:16 - mmengine - INFO - Epoch(train) [2][2220/2505] lr: 8.0000e-05 eta: 1 day, 17:08:29 time: 1.0213 data_time: 0.0281 memory: 32752 grad_norm: 39.9911 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0962 loss: 2.0962 2022/07/29 15:08:35 - mmengine - INFO - Epoch(train) [2][2240/2505] lr: 8.0000e-05 eta: 1 day, 17:07:05 time: 0.9478 data_time: 0.0313 memory: 32752 grad_norm: 40.8313 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.2309 loss: 2.2309 2022/07/29 15:08:56 - mmengine - INFO - Epoch(train) [2][2260/2505] lr: 8.0000e-05 eta: 1 day, 17:06:32 time: 1.0324 data_time: 0.0286 memory: 32752 grad_norm: 39.2992 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3280 loss: 2.3280 2022/07/29 15:09:14 - mmengine - INFO - Epoch(train) [2][2280/2505] lr: 8.0000e-05 eta: 1 day, 17:04:37 time: 0.8934 data_time: 0.0346 memory: 32752 grad_norm: 40.1570 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.3581 loss: 2.3581 2022/07/29 15:09:36 - mmengine - INFO - Epoch(train) [2][2300/2505] lr: 8.0000e-05 eta: 1 day, 17:04:41 time: 1.0951 data_time: 0.0290 memory: 32752 grad_norm: 41.5095 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.3339 loss: 2.3339 2022/07/29 15:09:54 - mmengine - INFO - Epoch(train) [2][2320/2505] lr: 8.0000e-05 eta: 1 day, 17:03:01 time: 0.9172 data_time: 0.0293 memory: 32752 grad_norm: 38.8203 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0433 loss: 2.0433 2022/07/29 15:10:15 - mmengine - INFO - Epoch(train) [2][2340/2505] lr: 8.0000e-05 eta: 1 day, 17:02:42 time: 1.0555 data_time: 0.0306 memory: 32752 grad_norm: 39.8998 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0229 loss: 2.0229 2022/07/29 15:10:37 - mmengine - INFO - Epoch(train) [2][2360/2505] lr: 8.0000e-05 eta: 1 day, 17:02:57 time: 1.1152 data_time: 0.0450 memory: 32752 grad_norm: 39.4290 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.4737 loss: 2.4737 2022/07/29 15:10:56 - mmengine - INFO - Epoch(train) [2][2380/2505] lr: 8.0000e-05 eta: 1 day, 17:01:27 time: 0.9328 data_time: 0.0357 memory: 32752 grad_norm: 40.5261 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.2005 loss: 2.2005 2022/07/29 15:11:17 - mmengine - INFO - Epoch(train) [2][2400/2505] lr: 8.0000e-05 eta: 1 day, 17:00:51 time: 1.0243 data_time: 0.0586 memory: 32752 grad_norm: 39.0819 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9546 loss: 1.9546 2022/07/29 15:11:37 - mmengine - INFO - Epoch(train) [2][2420/2505] lr: 8.0000e-05 eta: 1 day, 17:00:04 time: 1.0067 data_time: 0.0391 memory: 32752 grad_norm: 41.3684 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2912 loss: 2.2912 2022/07/29 15:11:56 - mmengine - INFO - Epoch(train) [2][2440/2505] lr: 8.0000e-05 eta: 1 day, 16:58:54 time: 0.9650 data_time: 0.0302 memory: 32752 grad_norm: 40.2004 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 2.0988 loss: 2.0988 2022/07/29 15:12:17 - mmengine - INFO - Epoch(train) [2][2460/2505] lr: 8.0000e-05 eta: 1 day, 16:58:25 time: 1.0379 data_time: 0.0289 memory: 32752 grad_norm: 39.9661 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 2.1122 loss: 2.1122 2022/07/29 15:12:35 - mmengine - INFO - Epoch(train) [2][2480/2505] lr: 8.0000e-05 eta: 1 day, 16:56:39 time: 0.9003 data_time: 0.0271 memory: 32752 grad_norm: 39.7890 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.0710 loss: 2.0710 2022/07/29 15:12:49 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 15:12:52 - mmengine - INFO - Epoch(train) [2][2500/2505] lr: 8.0000e-05 eta: 1 day, 16:54:24 time: 0.8468 data_time: 0.0299 memory: 32752 grad_norm: 39.2423 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0556 loss: 2.0556 2022/07/29 15:12:54 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 15:12:54 - mmengine - INFO - Epoch(train) [2][2505/2505] lr: 8.0000e-05 eta: 1 day, 16:54:24 time: 0.6833 data_time: 0.0205 memory: 32752 grad_norm: 39.9675 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.1306 loss: 2.1306 2022/07/29 15:12:54 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/07/29 15:13:26 - mmengine - INFO - Epoch(train) [3][20/2505] lr: 1.1000e-04 eta: 1 day, 16:53:33 time: 1.2671 data_time: 0.6575 memory: 32752 grad_norm: 41.6521 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1032 loss: 2.1032 2022/07/29 15:13:42 - mmengine - INFO - Epoch(train) [3][40/2505] lr: 1.1000e-04 eta: 1 day, 16:51:08 time: 0.8270 data_time: 0.2466 memory: 32752 grad_norm: 39.9525 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.2282 loss: 2.2282 2022/07/29 15:14:03 - mmengine - INFO - Epoch(train) [3][60/2505] lr: 1.1000e-04 eta: 1 day, 16:50:40 time: 1.0351 data_time: 0.4316 memory: 32752 grad_norm: 41.1998 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.2405 loss: 2.2405 2022/07/29 15:14:21 - mmengine - INFO - Epoch(train) [3][80/2505] lr: 1.1000e-04 eta: 1 day, 16:49:05 time: 0.9151 data_time: 0.3110 memory: 32752 grad_norm: 39.9708 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.5341 loss: 2.5341 2022/07/29 15:14:43 - mmengine - INFO - Epoch(train) [3][100/2505] lr: 1.1000e-04 eta: 1 day, 16:49:11 time: 1.0975 data_time: 0.5024 memory: 32752 grad_norm: 38.9846 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.0143 loss: 2.0143 2022/07/29 15:15:02 - mmengine - INFO - Epoch(train) [3][120/2505] lr: 1.1000e-04 eta: 1 day, 16:47:49 time: 0.9360 data_time: 0.3401 memory: 32752 grad_norm: 38.1043 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0347 loss: 2.0347 2022/07/29 15:15:27 - mmengine - INFO - Epoch(train) [3][140/2505] lr: 1.1000e-04 eta: 1 day, 16:49:15 time: 1.2452 data_time: 0.6494 memory: 32752 grad_norm: 39.4896 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.4137 loss: 2.4137 2022/07/29 15:15:45 - mmengine - INFO - Epoch(train) [3][160/2505] lr: 1.1000e-04 eta: 1 day, 16:47:49 time: 0.9284 data_time: 0.3424 memory: 32752 grad_norm: 39.1244 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.3083 loss: 2.3083 2022/07/29 15:16:07 - mmengine - INFO - Epoch(train) [3][180/2505] lr: 1.1000e-04 eta: 1 day, 16:47:36 time: 1.0624 data_time: 0.4343 memory: 32752 grad_norm: 38.8963 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.2406 loss: 2.2406 2022/07/29 15:16:35 - mmengine - INFO - Epoch(train) [3][200/2505] lr: 1.1000e-04 eta: 1 day, 16:50:29 time: 1.4090 data_time: 0.2842 memory: 32752 grad_norm: 39.3090 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2193 loss: 2.2193 2022/07/29 15:17:05 - mmengine - INFO - Epoch(train) [3][220/2505] lr: 1.1000e-04 eta: 1 day, 16:54:22 time: 1.5250 data_time: 0.0645 memory: 32752 grad_norm: 37.2367 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1597 loss: 2.1597 2022/07/29 15:17:29 - mmengine - INFO - Epoch(train) [3][240/2505] lr: 1.1000e-04 eta: 1 day, 16:55:21 time: 1.2012 data_time: 0.0452 memory: 32752 grad_norm: 39.7637 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0334 loss: 2.0334 2022/07/29 15:17:46 - mmengine - INFO - Epoch(train) [3][260/2505] lr: 1.1000e-04 eta: 1 day, 16:53:15 time: 0.8531 data_time: 0.0494 memory: 32752 grad_norm: 39.6725 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1865 loss: 2.1865 2022/07/29 15:18:08 - mmengine - INFO - Epoch(train) [3][280/2505] lr: 1.1000e-04 eta: 1 day, 16:53:19 time: 1.0983 data_time: 0.1257 memory: 32752 grad_norm: 38.3156 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.2185 loss: 2.2185 2022/07/29 15:18:26 - mmengine - INFO - Epoch(train) [3][300/2505] lr: 1.1000e-04 eta: 1 day, 16:51:17 time: 0.8603 data_time: 0.0338 memory: 32752 grad_norm: 38.7671 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.1266 loss: 2.1266 2022/07/29 15:18:47 - mmengine - INFO - Epoch(train) [3][320/2505] lr: 1.1000e-04 eta: 1 day, 16:51:08 time: 1.0747 data_time: 0.0307 memory: 32752 grad_norm: 40.3266 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.2456 loss: 2.2456 2022/07/29 15:19:08 - mmengine - INFO - Epoch(train) [3][340/2505] lr: 1.1000e-04 eta: 1 day, 16:50:41 time: 1.0393 data_time: 0.0406 memory: 32752 grad_norm: 39.0317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1446 loss: 2.1446 2022/07/29 15:19:29 - mmengine - INFO - Epoch(train) [3][360/2505] lr: 1.1000e-04 eta: 1 day, 16:50:29 time: 1.0666 data_time: 0.0305 memory: 32752 grad_norm: 40.8397 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.2620 loss: 2.2620 2022/07/29 15:19:51 - mmengine - INFO - Epoch(train) [3][380/2505] lr: 1.1000e-04 eta: 1 day, 16:50:15 time: 1.0658 data_time: 0.0285 memory: 32752 grad_norm: 40.5704 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 2.1840 loss: 2.1840 2022/07/29 15:20:10 - mmengine - INFO - Epoch(train) [3][400/2505] lr: 1.1000e-04 eta: 1 day, 16:49:07 time: 0.9587 data_time: 0.0410 memory: 32752 grad_norm: 38.2371 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.2836 loss: 2.2836 2022/07/29 15:20:30 - mmengine - INFO - Epoch(train) [3][420/2505] lr: 1.1000e-04 eta: 1 day, 16:48:19 time: 0.9982 data_time: 0.0272 memory: 32752 grad_norm: 38.3707 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1336 loss: 2.1336 2022/07/29 15:20:49 - mmengine - INFO - Epoch(train) [3][440/2505] lr: 1.1000e-04 eta: 1 day, 16:47:07 time: 0.9524 data_time: 0.0293 memory: 32752 grad_norm: 37.6744 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.0301 loss: 2.0301 2022/07/29 15:21:09 - mmengine - INFO - Epoch(train) [3][460/2505] lr: 1.1000e-04 eta: 1 day, 16:46:36 time: 1.0293 data_time: 0.0293 memory: 32752 grad_norm: 40.0218 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.1355 loss: 2.1355 2022/07/29 15:21:27 - mmengine - INFO - Epoch(train) [3][480/2505] lr: 1.1000e-04 eta: 1 day, 16:45:00 time: 0.9037 data_time: 0.0303 memory: 32752 grad_norm: 40.1890 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0544 loss: 2.0544 2022/07/29 15:21:48 - mmengine - INFO - Epoch(train) [3][500/2505] lr: 1.1000e-04 eta: 1 day, 16:44:37 time: 1.0454 data_time: 0.0277 memory: 32752 grad_norm: 38.2520 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9638 loss: 1.9638 2022/07/29 15:22:06 - mmengine - INFO - Epoch(train) [3][520/2505] lr: 1.1000e-04 eta: 1 day, 16:42:51 time: 0.8810 data_time: 0.0439 memory: 32752 grad_norm: 39.5079 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9042 loss: 1.9042 2022/07/29 15:22:27 - mmengine - INFO - Epoch(train) [3][540/2505] lr: 1.1000e-04 eta: 1 day, 16:42:22 time: 1.0318 data_time: 0.0606 memory: 32752 grad_norm: 37.5041 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.9695 loss: 1.9695 2022/07/29 15:22:45 - mmengine - INFO - Epoch(train) [3][560/2505] lr: 1.1000e-04 eta: 1 day, 16:40:55 time: 0.9175 data_time: 0.1863 memory: 32752 grad_norm: 39.2625 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.3243 loss: 2.3243 2022/07/29 15:23:04 - mmengine - INFO - Epoch(train) [3][580/2505] lr: 1.1000e-04 eta: 1 day, 16:39:58 time: 0.9768 data_time: 0.0464 memory: 32752 grad_norm: 39.5055 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2119 loss: 2.2119 2022/07/29 15:23:27 - mmengine - INFO - Epoch(train) [3][600/2505] lr: 1.1000e-04 eta: 1 day, 16:40:15 time: 1.1237 data_time: 0.0288 memory: 32752 grad_norm: 37.5649 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9678 loss: 1.9678 2022/07/29 15:23:45 - mmengine - INFO - Epoch(train) [3][620/2505] lr: 1.1000e-04 eta: 1 day, 16:38:50 time: 0.9180 data_time: 0.0441 memory: 32752 grad_norm: 36.9882 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1215 loss: 2.1215 2022/07/29 15:24:09 - mmengine - INFO - Epoch(train) [3][640/2505] lr: 1.1000e-04 eta: 1 day, 16:39:35 time: 1.1826 data_time: 0.0261 memory: 32752 grad_norm: 37.3422 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.2999 loss: 2.2999 2022/07/29 15:24:24 - mmengine - INFO - Epoch(train) [3][660/2505] lr: 1.1000e-04 eta: 1 day, 16:36:50 time: 0.7543 data_time: 0.0272 memory: 32752 grad_norm: 38.1922 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9848 loss: 1.9848 2022/07/29 15:24:49 - mmengine - INFO - Epoch(train) [3][680/2505] lr: 1.1000e-04 eta: 1 day, 16:38:00 time: 1.2339 data_time: 0.0293 memory: 32752 grad_norm: 38.4092 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.1430 loss: 2.1430 2022/07/29 15:25:06 - mmengine - INFO - Epoch(train) [3][700/2505] lr: 1.1000e-04 eta: 1 day, 16:36:19 time: 0.8827 data_time: 0.1830 memory: 32752 grad_norm: 37.0994 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.2089 loss: 2.2089 2022/07/29 15:25:30 - mmengine - INFO - Epoch(train) [3][720/2505] lr: 1.1000e-04 eta: 1 day, 16:36:59 time: 1.1730 data_time: 0.5071 memory: 32752 grad_norm: 38.0969 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 2.1445 loss: 2.1445 2022/07/29 15:25:46 - mmengine - INFO - Epoch(train) [3][740/2505] lr: 1.1000e-04 eta: 1 day, 16:34:49 time: 0.8232 data_time: 0.2490 memory: 32752 grad_norm: 37.6848 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1588 loss: 2.1588 2022/07/29 15:26:09 - mmengine - INFO - Epoch(train) [3][760/2505] lr: 1.1000e-04 eta: 1 day, 16:35:08 time: 1.1303 data_time: 0.5125 memory: 32752 grad_norm: 39.5638 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0190 loss: 2.0190 2022/07/29 15:26:27 - mmengine - INFO - Epoch(train) [3][780/2505] lr: 1.1000e-04 eta: 1 day, 16:33:45 time: 0.9182 data_time: 0.3381 memory: 32752 grad_norm: 38.6942 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0116 loss: 2.0116 2022/07/29 15:26:50 - mmengine - INFO - Epoch(train) [3][800/2505] lr: 1.1000e-04 eta: 1 day, 16:34:07 time: 1.1350 data_time: 0.0400 memory: 32752 grad_norm: 37.7587 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.2163 loss: 2.2163 2022/07/29 15:27:10 - mmengine - INFO - Epoch(train) [3][820/2505] lr: 1.1000e-04 eta: 1 day, 16:33:23 time: 0.9987 data_time: 0.0432 memory: 32752 grad_norm: 37.4271 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1934 loss: 2.1934 2022/07/29 15:27:32 - mmengine - INFO - Epoch(train) [3][840/2505] lr: 1.1000e-04 eta: 1 day, 16:33:30 time: 1.1066 data_time: 0.0515 memory: 32752 grad_norm: 38.1821 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0187 loss: 2.0187 2022/07/29 15:27:53 - mmengine - INFO - Epoch(train) [3][860/2505] lr: 1.1000e-04 eta: 1 day, 16:33:12 time: 1.0528 data_time: 0.1249 memory: 32752 grad_norm: 36.9293 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.2442 loss: 2.2442 2022/07/29 15:28:13 - mmengine - INFO - Epoch(train) [3][880/2505] lr: 1.1000e-04 eta: 1 day, 16:32:24 time: 0.9903 data_time: 0.3321 memory: 32752 grad_norm: 37.5088 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9479 loss: 1.9479 2022/07/29 15:28:34 - mmengine - INFO - Epoch(train) [3][900/2505] lr: 1.1000e-04 eta: 1 day, 16:32:14 time: 1.0708 data_time: 0.2023 memory: 32752 grad_norm: 36.1558 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 2.3478 loss: 2.3478 2022/07/29 15:28:54 - mmengine - INFO - Epoch(train) [3][920/2505] lr: 1.1000e-04 eta: 1 day, 16:31:21 time: 0.9790 data_time: 0.3657 memory: 32752 grad_norm: 37.6528 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.0901 loss: 2.0901 2022/07/29 15:29:11 - mmengine - INFO - Epoch(train) [3][940/2505] lr: 1.1000e-04 eta: 1 day, 16:29:30 time: 0.8535 data_time: 0.2144 memory: 32752 grad_norm: 36.9985 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9487 loss: 1.9487 2022/07/29 15:29:32 - mmengine - INFO - Epoch(train) [3][960/2505] lr: 1.1000e-04 eta: 1 day, 16:29:16 time: 1.0612 data_time: 0.4616 memory: 32752 grad_norm: 37.3170 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0127 loss: 2.0127 2022/07/29 15:29:50 - mmengine - INFO - Epoch(train) [3][980/2505] lr: 1.1000e-04 eta: 1 day, 16:27:36 time: 0.8760 data_time: 0.2952 memory: 32752 grad_norm: 37.4907 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8457 loss: 1.8457 2022/07/29 15:29:59 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 15:30:12 - mmengine - INFO - Epoch(train) [3][1000/2505] lr: 1.1000e-04 eta: 1 day, 16:27:39 time: 1.0973 data_time: 0.5006 memory: 32752 grad_norm: 37.9002 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.1163 loss: 2.1163 2022/07/29 15:30:30 - mmengine - INFO - Epoch(train) [3][1020/2505] lr: 1.1000e-04 eta: 1 day, 16:26:19 time: 0.9171 data_time: 0.3309 memory: 32752 grad_norm: 35.9545 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.0841 loss: 2.0841 2022/07/29 15:30:51 - mmengine - INFO - Epoch(train) [3][1040/2505] lr: 1.1000e-04 eta: 1 day, 16:26:04 time: 1.0594 data_time: 0.4733 memory: 32752 grad_norm: 36.9693 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9500 loss: 1.9500 2022/07/29 15:31:12 - mmengine - INFO - Epoch(train) [3][1060/2505] lr: 1.1000e-04 eta: 1 day, 16:25:31 time: 1.0195 data_time: 0.4006 memory: 32752 grad_norm: 37.4862 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1757 loss: 2.1757 2022/07/29 15:31:34 - mmengine - INFO - Epoch(train) [3][1080/2505] lr: 1.1000e-04 eta: 1 day, 16:25:45 time: 1.1208 data_time: 0.3397 memory: 32752 grad_norm: 36.8243 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8222 loss: 1.8222 2022/07/29 15:31:54 - mmengine - INFO - Epoch(train) [3][1100/2505] lr: 1.1000e-04 eta: 1 day, 16:24:53 time: 0.9770 data_time: 0.0539 memory: 32752 grad_norm: 37.3293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0693 loss: 2.0693 2022/07/29 15:32:12 - mmengine - INFO - Epoch(train) [3][1120/2505] lr: 1.1000e-04 eta: 1 day, 16:23:44 time: 0.9408 data_time: 0.0370 memory: 32752 grad_norm: 39.7651 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0845 loss: 2.0845 2022/07/29 15:32:30 - mmengine - INFO - Epoch(train) [3][1140/2505] lr: 1.1000e-04 eta: 1 day, 16:22:14 time: 0.8907 data_time: 0.0397 memory: 32752 grad_norm: 38.5470 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.9964 loss: 1.9964 2022/07/29 15:32:50 - mmengine - INFO - Epoch(train) [3][1160/2505] lr: 1.1000e-04 eta: 1 day, 16:21:19 time: 0.9687 data_time: 0.0288 memory: 32752 grad_norm: 38.1650 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8330 loss: 1.8330 2022/07/29 15:33:17 - mmengine - INFO - Epoch(train) [3][1180/2505] lr: 1.1000e-04 eta: 1 day, 16:23:31 time: 1.3846 data_time: 0.0306 memory: 32752 grad_norm: 37.1427 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.2838 loss: 2.2838 2022/07/29 15:33:32 - mmengine - INFO - Epoch(train) [3][1200/2505] lr: 1.1000e-04 eta: 1 day, 16:20:51 time: 0.7356 data_time: 0.0495 memory: 32752 grad_norm: 37.7192 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 2.2493 loss: 2.2493 2022/07/29 15:33:51 - mmengine - INFO - Epoch(train) [3][1220/2505] lr: 1.1000e-04 eta: 1 day, 16:19:49 time: 0.9527 data_time: 0.0407 memory: 32752 grad_norm: 36.5446 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2284 loss: 2.2284 2022/07/29 15:34:12 - mmengine - INFO - Epoch(train) [3][1240/2505] lr: 1.1000e-04 eta: 1 day, 16:19:34 time: 1.0575 data_time: 0.0315 memory: 32752 grad_norm: 37.6288 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0434 loss: 2.0434 2022/07/29 15:34:31 - mmengine - INFO - Epoch(train) [3][1260/2505] lr: 1.1000e-04 eta: 1 day, 16:18:17 time: 0.9179 data_time: 0.0265 memory: 32752 grad_norm: 35.7439 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0097 loss: 2.0097 2022/07/29 15:34:51 - mmengine - INFO - Epoch(train) [3][1280/2505] lr: 1.1000e-04 eta: 1 day, 16:17:37 time: 0.9995 data_time: 0.0273 memory: 32752 grad_norm: 38.1796 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1881 loss: 2.1881 2022/07/29 15:35:11 - mmengine - INFO - Epoch(train) [3][1300/2505] lr: 1.1000e-04 eta: 1 day, 16:16:57 time: 0.9997 data_time: 0.0707 memory: 32752 grad_norm: 37.0402 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9678 loss: 1.9678 2022/07/29 15:35:30 - mmengine - INFO - Epoch(train) [3][1320/2505] lr: 1.1000e-04 eta: 1 day, 16:16:09 time: 0.9831 data_time: 0.1774 memory: 32752 grad_norm: 38.2783 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7724 loss: 1.7724 2022/07/29 15:35:50 - mmengine - INFO - Epoch(train) [3][1340/2505] lr: 1.1000e-04 eta: 1 day, 16:15:29 time: 0.9977 data_time: 0.1937 memory: 32752 grad_norm: 36.3251 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0900 loss: 2.0900 2022/07/29 15:36:10 - mmengine - INFO - Epoch(train) [3][1360/2505] lr: 1.1000e-04 eta: 1 day, 16:14:42 time: 0.9847 data_time: 0.2195 memory: 32752 grad_norm: 37.1012 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 2.1795 loss: 2.1795 2022/07/29 15:36:29 - mmengine - INFO - Epoch(train) [3][1380/2505] lr: 1.1000e-04 eta: 1 day, 16:13:49 time: 0.9678 data_time: 0.1008 memory: 32752 grad_norm: 38.0072 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0669 loss: 2.0669 2022/07/29 15:36:49 - mmengine - INFO - Epoch(train) [3][1400/2505] lr: 1.1000e-04 eta: 1 day, 16:13:15 time: 1.0138 data_time: 0.1789 memory: 32752 grad_norm: 37.3873 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9716 loss: 1.9716 2022/07/29 15:37:09 - mmengine - INFO - Epoch(train) [3][1420/2505] lr: 1.1000e-04 eta: 1 day, 16:12:17 time: 0.9563 data_time: 0.1708 memory: 32752 grad_norm: 36.1836 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8054 loss: 1.8054 2022/07/29 15:37:30 - mmengine - INFO - Epoch(train) [3][1440/2505] lr: 1.1000e-04 eta: 1 day, 16:12:12 time: 1.0774 data_time: 0.3106 memory: 32752 grad_norm: 38.1412 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8296 loss: 1.8296 2022/07/29 15:37:48 - mmengine - INFO - Epoch(train) [3][1460/2505] lr: 1.1000e-04 eta: 1 day, 16:10:50 time: 0.9012 data_time: 0.1651 memory: 32752 grad_norm: 35.8878 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0308 loss: 2.0308 2022/07/29 15:38:09 - mmengine - INFO - Epoch(train) [3][1480/2505] lr: 1.1000e-04 eta: 1 day, 16:10:27 time: 1.0375 data_time: 0.3089 memory: 32752 grad_norm: 37.6138 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.1467 loss: 2.1467 2022/07/29 15:38:28 - mmengine - INFO - Epoch(train) [3][1500/2505] lr: 1.1000e-04 eta: 1 day, 16:09:32 time: 0.9607 data_time: 0.1464 memory: 32752 grad_norm: 37.8175 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.2388 loss: 2.2388 2022/07/29 15:38:48 - mmengine - INFO - Epoch(train) [3][1520/2505] lr: 1.1000e-04 eta: 1 day, 16:09:01 time: 1.0172 data_time: 0.1339 memory: 32752 grad_norm: 36.6425 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8589 loss: 1.8589 2022/07/29 15:39:06 - mmengine - INFO - Epoch(train) [3][1540/2505] lr: 1.1000e-04 eta: 1 day, 16:07:37 time: 0.8931 data_time: 0.1870 memory: 32752 grad_norm: 35.1376 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1286 loss: 2.1286 2022/07/29 15:39:26 - mmengine - INFO - Epoch(train) [3][1560/2505] lr: 1.1000e-04 eta: 1 day, 16:06:57 time: 0.9964 data_time: 0.1663 memory: 32752 grad_norm: 35.9434 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1882 loss: 2.1882 2022/07/29 15:39:48 - mmengine - INFO - Epoch(train) [3][1580/2505] lr: 1.1000e-04 eta: 1 day, 16:06:59 time: 1.0942 data_time: 0.0694 memory: 32752 grad_norm: 36.1577 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9405 loss: 1.9405 2022/07/29 15:40:08 - mmengine - INFO - Epoch(train) [3][1600/2505] lr: 1.1000e-04 eta: 1 day, 16:06:18 time: 0.9939 data_time: 0.0299 memory: 32752 grad_norm: 36.5177 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9186 loss: 1.9186 2022/07/29 15:40:26 - mmengine - INFO - Epoch(train) [3][1620/2505] lr: 1.1000e-04 eta: 1 day, 16:04:53 time: 0.8874 data_time: 0.0289 memory: 32752 grad_norm: 36.9713 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7832 loss: 1.7832 2022/07/29 15:40:47 - mmengine - INFO - Epoch(train) [3][1640/2505] lr: 1.1000e-04 eta: 1 day, 16:04:32 time: 1.0414 data_time: 0.0537 memory: 32752 grad_norm: 37.4806 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0146 loss: 2.0146 2022/07/29 15:41:07 - mmengine - INFO - Epoch(train) [3][1660/2505] lr: 1.1000e-04 eta: 1 day, 16:04:00 time: 1.0126 data_time: 0.0611 memory: 32752 grad_norm: 35.6336 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9620 loss: 1.9620 2022/07/29 15:41:26 - mmengine - INFO - Epoch(train) [3][1680/2505] lr: 1.1000e-04 eta: 1 day, 16:03:10 time: 0.9700 data_time: 0.0270 memory: 32752 grad_norm: 36.5759 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7714 loss: 1.7714 2022/07/29 15:41:44 - mmengine - INFO - Epoch(train) [3][1700/2505] lr: 1.1000e-04 eta: 1 day, 16:01:53 time: 0.9045 data_time: 0.0282 memory: 32752 grad_norm: 36.2975 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8455 loss: 1.8455 2022/07/29 15:42:05 - mmengine - INFO - Epoch(train) [3][1720/2505] lr: 1.1000e-04 eta: 1 day, 16:01:22 time: 1.0150 data_time: 0.0298 memory: 32752 grad_norm: 36.5616 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9301 loss: 1.9301 2022/07/29 15:42:23 - mmengine - INFO - Epoch(train) [3][1740/2505] lr: 1.1000e-04 eta: 1 day, 16:00:07 time: 0.9092 data_time: 0.0282 memory: 32752 grad_norm: 36.8228 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.8500 loss: 1.8500 2022/07/29 15:42:44 - mmengine - INFO - Epoch(train) [3][1760/2505] lr: 1.1000e-04 eta: 1 day, 15:59:58 time: 1.0666 data_time: 0.0320 memory: 32752 grad_norm: 37.6043 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.0246 loss: 2.0246 2022/07/29 15:43:02 - mmengine - INFO - Epoch(train) [3][1780/2505] lr: 1.1000e-04 eta: 1 day, 15:58:46 time: 0.9148 data_time: 0.0283 memory: 32752 grad_norm: 36.1219 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9436 loss: 1.9436 2022/07/29 15:43:23 - mmengine - INFO - Epoch(train) [3][1800/2505] lr: 1.1000e-04 eta: 1 day, 15:58:18 time: 1.0208 data_time: 0.0308 memory: 32752 grad_norm: 35.0820 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6800 loss: 1.6800 2022/07/29 15:43:42 - mmengine - INFO - Epoch(train) [3][1820/2505] lr: 1.1000e-04 eta: 1 day, 15:57:14 time: 0.9335 data_time: 0.0269 memory: 32752 grad_norm: 34.4357 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7492 loss: 1.7492 2022/07/29 15:44:03 - mmengine - INFO - Epoch(train) [3][1840/2505] lr: 1.1000e-04 eta: 1 day, 15:57:05 time: 1.0675 data_time: 0.0261 memory: 32752 grad_norm: 36.5086 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9080 loss: 1.9080 2022/07/29 15:44:21 - mmengine - INFO - Epoch(train) [3][1860/2505] lr: 1.1000e-04 eta: 1 day, 15:56:00 time: 0.9291 data_time: 0.0294 memory: 32752 grad_norm: 36.2553 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9101 loss: 1.9101 2022/07/29 15:44:41 - mmengine - INFO - Epoch(train) [3][1880/2505] lr: 1.1000e-04 eta: 1 day, 15:55:16 time: 0.9816 data_time: 0.0276 memory: 32752 grad_norm: 36.9896 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0672 loss: 2.0672 2022/07/29 15:45:02 - mmengine - INFO - Epoch(train) [3][1900/2505] lr: 1.1000e-04 eta: 1 day, 15:55:05 time: 1.0629 data_time: 0.0437 memory: 32752 grad_norm: 36.7798 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9058 loss: 1.9058 2022/07/29 15:45:27 - mmengine - INFO - Epoch(train) [3][1920/2505] lr: 1.1000e-04 eta: 1 day, 15:56:09 time: 1.2490 data_time: 0.2689 memory: 32752 grad_norm: 36.1216 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.0391 loss: 2.0391 2022/07/29 15:45:45 - mmengine - INFO - Epoch(train) [3][1940/2505] lr: 1.1000e-04 eta: 1 day, 15:54:48 time: 0.8893 data_time: 0.0793 memory: 32752 grad_norm: 35.5307 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9982 loss: 1.9982 2022/07/29 15:46:06 - mmengine - INFO - Epoch(train) [3][1960/2505] lr: 1.1000e-04 eta: 1 day, 15:54:38 time: 1.0640 data_time: 0.0267 memory: 32752 grad_norm: 35.3816 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7715 loss: 1.7715 2022/07/29 15:46:25 - mmengine - INFO - Epoch(train) [3][1980/2505] lr: 1.1000e-04 eta: 1 day, 15:53:30 time: 0.9217 data_time: 0.0267 memory: 32752 grad_norm: 35.3477 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.8595 loss: 1.8595 2022/07/29 15:46:33 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 15:46:44 - mmengine - INFO - Epoch(train) [3][2000/2505] lr: 1.1000e-04 eta: 1 day, 15:52:36 time: 0.9542 data_time: 0.0326 memory: 32752 grad_norm: 37.8627 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.1747 loss: 2.1747 2022/07/29 15:47:04 - mmengine - INFO - Epoch(train) [3][2020/2505] lr: 1.1000e-04 eta: 1 day, 15:51:54 time: 0.9825 data_time: 0.0284 memory: 32752 grad_norm: 36.6764 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 2.0410 loss: 2.0410 2022/07/29 15:47:23 - mmengine - INFO - Epoch(train) [3][2040/2505] lr: 1.1000e-04 eta: 1 day, 15:51:06 time: 0.9693 data_time: 0.0315 memory: 32752 grad_norm: 35.9669 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1203 loss: 2.1203 2022/07/29 15:47:46 - mmengine - INFO - Epoch(train) [3][2060/2505] lr: 1.1000e-04 eta: 1 day, 15:51:38 time: 1.1725 data_time: 0.0276 memory: 32752 grad_norm: 35.0047 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1219 loss: 2.1219 2022/07/29 15:48:07 - mmengine - INFO - Epoch(train) [3][2080/2505] lr: 1.1000e-04 eta: 1 day, 15:51:07 time: 1.0127 data_time: 0.0389 memory: 32752 grad_norm: 36.1293 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9562 loss: 1.9562 2022/07/29 15:48:25 - mmengine - INFO - Epoch(train) [3][2100/2505] lr: 1.1000e-04 eta: 1 day, 15:49:59 time: 0.9152 data_time: 0.0537 memory: 32752 grad_norm: 34.4514 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1927 loss: 2.1927 2022/07/29 15:48:50 - mmengine - INFO - Epoch(train) [3][2120/2505] lr: 1.1000e-04 eta: 1 day, 15:50:59 time: 1.2462 data_time: 0.0425 memory: 32752 grad_norm: 35.2157 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0376 loss: 2.0376 2022/07/29 15:49:10 - mmengine - INFO - Epoch(train) [3][2140/2505] lr: 1.1000e-04 eta: 1 day, 15:50:18 time: 0.9872 data_time: 0.0342 memory: 32752 grad_norm: 35.5994 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6849 loss: 1.6849 2022/07/29 15:49:27 - mmengine - INFO - Epoch(train) [3][2160/2505] lr: 1.1000e-04 eta: 1 day, 15:48:56 time: 0.8783 data_time: 0.0269 memory: 32752 grad_norm: 35.4195 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8116 loss: 1.8116 2022/07/29 15:49:49 - mmengine - INFO - Epoch(train) [3][2180/2505] lr: 1.1000e-04 eta: 1 day, 15:49:04 time: 1.1126 data_time: 0.0492 memory: 32752 grad_norm: 34.8400 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9721 loss: 1.9721 2022/07/29 15:50:08 - mmengine - INFO - Epoch(train) [3][2200/2505] lr: 1.1000e-04 eta: 1 day, 15:47:52 time: 0.9056 data_time: 0.0361 memory: 32752 grad_norm: 36.3714 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1023 loss: 2.1023 2022/07/29 15:50:30 - mmengine - INFO - Epoch(train) [3][2220/2505] lr: 1.1000e-04 eta: 1 day, 15:48:11 time: 1.1419 data_time: 0.0531 memory: 32752 grad_norm: 34.8920 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.0249 loss: 2.0249 2022/07/29 15:50:52 - mmengine - INFO - Epoch(train) [3][2240/2505] lr: 1.1000e-04 eta: 1 day, 15:48:14 time: 1.0995 data_time: 0.0316 memory: 32752 grad_norm: 36.4989 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7549 loss: 1.7549 2022/07/29 15:51:11 - mmengine - INFO - Epoch(train) [3][2260/2505] lr: 1.1000e-04 eta: 1 day, 15:47:16 time: 0.9404 data_time: 0.0328 memory: 32752 grad_norm: 36.7328 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0910 loss: 2.0910 2022/07/29 15:51:29 - mmengine - INFO - Epoch(train) [3][2280/2505] lr: 1.1000e-04 eta: 1 day, 15:45:54 time: 0.8758 data_time: 0.0359 memory: 32752 grad_norm: 35.9885 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.8967 loss: 1.8967 2022/07/29 15:51:49 - mmengine - INFO - Epoch(train) [3][2300/2505] lr: 1.1000e-04 eta: 1 day, 15:45:20 time: 1.0016 data_time: 0.0289 memory: 32752 grad_norm: 36.0213 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8437 loss: 1.8437 2022/07/29 15:52:07 - mmengine - INFO - Epoch(train) [3][2320/2505] lr: 1.1000e-04 eta: 1 day, 15:44:07 time: 0.8995 data_time: 0.0291 memory: 32752 grad_norm: 35.2705 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7839 loss: 1.7839 2022/07/29 15:52:33 - mmengine - INFO - Epoch(train) [3][2340/2505] lr: 1.1000e-04 eta: 1 day, 15:45:28 time: 1.3065 data_time: 0.0444 memory: 32752 grad_norm: 35.7162 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.8532 loss: 1.8532 2022/07/29 15:52:50 - mmengine - INFO - Epoch(train) [3][2360/2505] lr: 1.1000e-04 eta: 1 day, 15:44:01 time: 0.8607 data_time: 0.2737 memory: 32752 grad_norm: 35.5364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9295 loss: 1.9295 2022/07/29 15:53:10 - mmengine - INFO - Epoch(train) [3][2380/2505] lr: 1.1000e-04 eta: 1 day, 15:43:15 time: 0.9705 data_time: 0.3011 memory: 32752 grad_norm: 35.8930 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 2.0349 loss: 2.0349 2022/07/29 15:53:31 - mmengine - INFO - Epoch(train) [3][2400/2505] lr: 1.1000e-04 eta: 1 day, 15:43:00 time: 1.0507 data_time: 0.3402 memory: 32752 grad_norm: 35.2117 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8914 loss: 1.8914 2022/07/29 15:53:48 - mmengine - INFO - Epoch(train) [3][2420/2505] lr: 1.1000e-04 eta: 1 day, 15:41:45 time: 0.8920 data_time: 0.3015 memory: 32752 grad_norm: 35.5557 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 2.1912 loss: 2.1912 2022/07/29 15:54:08 - mmengine - INFO - Epoch(train) [3][2440/2505] lr: 1.1000e-04 eta: 1 day, 15:41:13 time: 1.0057 data_time: 0.3938 memory: 32752 grad_norm: 36.7924 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8256 loss: 1.8256 2022/07/29 15:54:32 - mmengine - INFO - Epoch(train) [3][2460/2505] lr: 1.1000e-04 eta: 1 day, 15:41:51 time: 1.1958 data_time: 0.4632 memory: 32752 grad_norm: 35.3781 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7006 loss: 1.7006 2022/07/29 15:54:48 - mmengine - INFO - Epoch(train) [3][2480/2505] lr: 1.1000e-04 eta: 1 day, 15:40:01 time: 0.7948 data_time: 0.1662 memory: 32752 grad_norm: 33.9293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8126 loss: 1.8126 2022/07/29 15:55:08 - mmengine - INFO - Epoch(train) [3][2500/2505] lr: 1.1000e-04 eta: 1 day, 15:39:23 time: 0.9874 data_time: 0.1340 memory: 32752 grad_norm: 35.7251 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7953 loss: 1.7953 2022/07/29 15:55:11 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 15:55:11 - mmengine - INFO - Epoch(train) [3][2505/2505] lr: 1.1000e-04 eta: 1 day, 15:39:23 time: 0.9293 data_time: 0.0884 memory: 32752 grad_norm: 38.1039 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.8626 loss: 1.8626 2022/07/29 15:55:24 - mmengine - INFO - Epoch(val) [3][20/2475] eta: 0:25:58 time: 0.6349 data_time: 0.2166 memory: 37418 2022/07/29 15:55:25 - mmengine - INFO - Epoch(val) [3][40/2475] eta: 0:02:56 time: 0.0724 data_time: 0.0395 memory: 817 2022/07/29 15:55:26 - mmengine - INFO - Epoch(val) [3][60/2475] eta: 0:01:42 time: 0.0424 data_time: 0.0116 memory: 817 2022/07/29 15:55:27 - mmengine - INFO - Epoch(val) [3][80/2475] eta: 0:02:04 time: 0.0518 data_time: 0.0186 memory: 817 2022/07/29 15:55:29 - mmengine - INFO - Epoch(val) [3][100/2475] eta: 0:03:07 time: 0.0791 data_time: 0.0483 memory: 817 2022/07/29 15:55:30 - mmengine - INFO - Epoch(val) [3][120/2475] eta: 0:02:39 time: 0.0679 data_time: 0.0336 memory: 817 2022/07/29 15:55:31 - mmengine - INFO - Epoch(val) [3][140/2475] eta: 0:02:55 time: 0.0754 data_time: 0.0433 memory: 817 2022/07/29 15:55:34 - mmengine - INFO - Epoch(val) [3][160/2475] eta: 0:04:36 time: 0.1194 data_time: 0.0879 memory: 817 2022/07/29 15:55:35 - mmengine - INFO - Epoch(val) [3][180/2475] eta: 0:02:40 time: 0.0701 data_time: 0.0353 memory: 817 2022/07/29 15:55:36 - mmengine - INFO - Epoch(val) [3][200/2475] eta: 0:02:18 time: 0.0607 data_time: 0.0302 memory: 817 2022/07/29 15:55:39 - mmengine - INFO - Epoch(val) [3][220/2475] eta: 0:04:01 time: 0.1069 data_time: 0.0751 memory: 817 2022/07/29 15:55:40 - mmengine - INFO - Epoch(val) [3][240/2475] eta: 0:02:46 time: 0.0746 data_time: 0.0319 memory: 817 2022/07/29 15:55:42 - mmengine - INFO - Epoch(val) [3][260/2475] eta: 0:03:17 time: 0.0890 data_time: 0.0559 memory: 817 2022/07/29 15:55:43 - mmengine - INFO - Epoch(val) [3][280/2475] eta: 0:02:20 time: 0.0639 data_time: 0.0329 memory: 817 2022/07/29 15:55:45 - mmengine - INFO - Epoch(val) [3][300/2475] eta: 0:03:03 time: 0.0844 data_time: 0.0531 memory: 817 2022/07/29 15:55:46 - mmengine - INFO - Epoch(val) [3][320/2475] eta: 0:02:54 time: 0.0809 data_time: 0.0500 memory: 817 2022/07/29 15:55:48 - mmengine - INFO - Epoch(val) [3][340/2475] eta: 0:02:24 time: 0.0676 data_time: 0.0330 memory: 817 2022/07/29 15:55:50 - mmengine - INFO - Epoch(val) [3][360/2475] eta: 0:03:49 time: 0.1084 data_time: 0.0751 memory: 817 2022/07/29 15:55:51 - mmengine - INFO - Epoch(val) [3][380/2475] eta: 0:02:09 time: 0.0619 data_time: 0.0308 memory: 817 2022/07/29 15:55:53 - mmengine - INFO - Epoch(val) [3][400/2475] eta: 0:03:18 time: 0.0956 data_time: 0.0652 memory: 817 2022/07/29 15:55:55 - mmengine - INFO - Epoch(val) [3][420/2475] eta: 0:03:23 time: 0.0990 data_time: 0.0693 memory: 817 2022/07/29 15:55:56 - mmengine - INFO - Epoch(val) [3][440/2475] eta: 0:02:11 time: 0.0645 data_time: 0.0344 memory: 817 2022/07/29 15:55:58 - mmengine - INFO - Epoch(val) [3][460/2475] eta: 0:02:55 time: 0.0872 data_time: 0.0557 memory: 817 2022/07/29 15:55:59 - mmengine - INFO - Epoch(val) [3][480/2475] eta: 0:01:51 time: 0.0557 data_time: 0.0137 memory: 817 2022/07/29 15:56:01 - mmengine - INFO - Epoch(val) [3][500/2475] eta: 0:02:52 time: 0.0871 data_time: 0.0557 memory: 817 2022/07/29 15:56:03 - mmengine - INFO - Epoch(val) [3][520/2475] eta: 0:02:30 time: 0.0770 data_time: 0.0452 memory: 817 2022/07/29 15:56:04 - mmengine - INFO - Epoch(val) [3][540/2475] eta: 0:02:26 time: 0.0756 data_time: 0.0434 memory: 817 2022/07/29 15:56:06 - mmengine - INFO - Epoch(val) [3][560/2475] eta: 0:02:17 time: 0.0720 data_time: 0.0386 memory: 817 2022/07/29 15:56:07 - mmengine - INFO - Epoch(val) [3][580/2475] eta: 0:02:49 time: 0.0894 data_time: 0.0566 memory: 817 2022/07/29 15:56:09 - mmengine - INFO - Epoch(val) [3][600/2475] eta: 0:02:30 time: 0.0800 data_time: 0.0454 memory: 817 2022/07/29 15:56:10 - mmengine - INFO - Epoch(val) [3][620/2475] eta: 0:02:23 time: 0.0775 data_time: 0.0403 memory: 817 2022/07/29 15:56:12 - mmengine - INFO - Epoch(val) [3][640/2475] eta: 0:02:52 time: 0.0942 data_time: 0.0630 memory: 817 2022/07/29 15:56:14 - mmengine - INFO - Epoch(val) [3][660/2475] eta: 0:02:39 time: 0.0878 data_time: 0.0571 memory: 817 2022/07/29 15:56:16 - mmengine - INFO - Epoch(val) [3][680/2475] eta: 0:02:19 time: 0.0777 data_time: 0.0456 memory: 817 2022/07/29 15:56:17 - mmengine - INFO - Epoch(val) [3][700/2475] eta: 0:02:23 time: 0.0809 data_time: 0.0507 memory: 817 2022/07/29 15:56:19 - mmengine - INFO - Epoch(val) [3][720/2475] eta: 0:02:48 time: 0.0957 data_time: 0.0648 memory: 817 2022/07/29 15:56:21 - mmengine - INFO - Epoch(val) [3][740/2475] eta: 0:02:27 time: 0.0848 data_time: 0.0543 memory: 817 2022/07/29 15:56:23 - mmengine - INFO - Epoch(val) [3][760/2475] eta: 0:02:55 time: 0.1025 data_time: 0.0720 memory: 817 2022/07/29 15:56:24 - mmengine - INFO - Epoch(val) [3][780/2475] eta: 0:01:35 time: 0.0563 data_time: 0.0242 memory: 817 2022/07/29 15:56:26 - mmengine - INFO - Epoch(val) [3][800/2475] eta: 0:02:18 time: 0.0828 data_time: 0.0496 memory: 817 2022/07/29 15:56:27 - mmengine - INFO - Epoch(val) [3][820/2475] eta: 0:01:58 time: 0.0716 data_time: 0.0409 memory: 817 2022/07/29 15:56:29 - mmengine - INFO - Epoch(val) [3][840/2475] eta: 0:02:48 time: 0.1031 data_time: 0.0729 memory: 817 2022/07/29 15:56:31 - mmengine - INFO - Epoch(val) [3][860/2475] eta: 0:01:57 time: 0.0726 data_time: 0.0371 memory: 817 2022/07/29 15:56:32 - mmengine - INFO - Epoch(val) [3][880/2475] eta: 0:01:53 time: 0.0711 data_time: 0.0398 memory: 817 2022/07/29 15:56:34 - mmengine - INFO - Epoch(val) [3][900/2475] eta: 0:02:18 time: 0.0880 data_time: 0.0573 memory: 817 2022/07/29 15:56:35 - mmengine - INFO - Epoch(val) [3][920/2475] eta: 0:02:02 time: 0.0788 data_time: 0.0468 memory: 817 2022/07/29 15:56:37 - mmengine - INFO - Epoch(val) [3][940/2475] eta: 0:01:50 time: 0.0720 data_time: 0.0408 memory: 817 2022/07/29 15:56:39 - mmengine - INFO - Epoch(val) [3][960/2475] eta: 0:02:14 time: 0.0889 data_time: 0.0585 memory: 817 2022/07/29 15:56:40 - mmengine - INFO - Epoch(val) [3][980/2475] eta: 0:01:37 time: 0.0653 data_time: 0.0319 memory: 817 2022/07/29 15:56:42 - mmengine - INFO - Epoch(val) [3][1000/2475] eta: 0:02:16 time: 0.0924 data_time: 0.0614 memory: 817 2022/07/29 15:56:44 - mmengine - INFO - Epoch(val) [3][1020/2475] eta: 0:02:04 time: 0.0855 data_time: 0.0562 memory: 817 2022/07/29 15:56:45 - mmengine - INFO - Epoch(val) [3][1040/2475] eta: 0:02:17 time: 0.0956 data_time: 0.0646 memory: 817 2022/07/29 15:56:47 - mmengine - INFO - Epoch(val) [3][1060/2475] eta: 0:01:36 time: 0.0679 data_time: 0.0373 memory: 817 2022/07/29 15:56:49 - mmengine - INFO - Epoch(val) [3][1080/2475] eta: 0:02:02 time: 0.0876 data_time: 0.0553 memory: 817 2022/07/29 15:56:50 - mmengine - INFO - Epoch(val) [3][1100/2475] eta: 0:01:35 time: 0.0698 data_time: 0.0378 memory: 817 2022/07/29 15:56:52 - mmengine - INFO - Epoch(val) [3][1120/2475] eta: 0:02:11 time: 0.0973 data_time: 0.0663 memory: 817 2022/07/29 15:56:53 - mmengine - INFO - Epoch(val) [3][1140/2475] eta: 0:01:36 time: 0.0721 data_time: 0.0379 memory: 817 2022/07/29 15:56:55 - mmengine - INFO - Epoch(val) [3][1160/2475] eta: 0:01:55 time: 0.0876 data_time: 0.0571 memory: 817 2022/07/29 15:56:57 - mmengine - INFO - Epoch(val) [3][1180/2475] eta: 0:01:43 time: 0.0800 data_time: 0.0486 memory: 817 2022/07/29 15:56:58 - mmengine - INFO - Epoch(val) [3][1200/2475] eta: 0:01:35 time: 0.0752 data_time: 0.0443 memory: 817 2022/07/29 15:57:00 - mmengine - INFO - Epoch(val) [3][1220/2475] eta: 0:01:39 time: 0.0793 data_time: 0.0479 memory: 817 2022/07/29 15:57:02 - mmengine - INFO - Epoch(val) [3][1240/2475] eta: 0:01:48 time: 0.0879 data_time: 0.0563 memory: 817 2022/07/29 15:57:03 - mmengine - INFO - Epoch(val) [3][1260/2475] eta: 0:01:23 time: 0.0690 data_time: 0.0377 memory: 817 2022/07/29 15:57:05 - mmengine - INFO - Epoch(val) [3][1280/2475] eta: 0:01:42 time: 0.0861 data_time: 0.0529 memory: 817 2022/07/29 15:57:06 - mmengine - INFO - Epoch(val) [3][1300/2475] eta: 0:01:30 time: 0.0770 data_time: 0.0468 memory: 817 2022/07/29 15:57:08 - mmengine - INFO - Epoch(val) [3][1320/2475] eta: 0:01:35 time: 0.0831 data_time: 0.0515 memory: 817 2022/07/29 15:57:10 - mmengine - INFO - Epoch(val) [3][1340/2475] eta: 0:01:47 time: 0.0951 data_time: 0.0351 memory: 817 2022/07/29 15:57:11 - mmengine - INFO - Epoch(val) [3][1360/2475] eta: 0:01:07 time: 0.0605 data_time: 0.0263 memory: 817 2022/07/29 15:57:13 - mmengine - INFO - Epoch(val) [3][1380/2475] eta: 0:01:48 time: 0.0995 data_time: 0.0689 memory: 817 2022/07/29 15:57:14 - mmengine - INFO - Epoch(val) [3][1400/2475] eta: 0:01:20 time: 0.0750 data_time: 0.0438 memory: 817 2022/07/29 15:57:16 - mmengine - INFO - Epoch(val) [3][1420/2475] eta: 0:01:24 time: 0.0805 data_time: 0.0474 memory: 817 2022/07/29 15:57:17 - mmengine - INFO - Epoch(val) [3][1440/2475] eta: 0:01:04 time: 0.0619 data_time: 0.0311 memory: 817 2022/07/29 15:57:18 - mmengine - INFO - Epoch(val) [3][1460/2475] eta: 0:00:52 time: 0.0519 data_time: 0.0220 memory: 817 2022/07/29 15:57:20 - mmengine - INFO - Epoch(val) [3][1480/2475] eta: 0:01:33 time: 0.0943 data_time: 0.0627 memory: 817 2022/07/29 15:57:22 - mmengine - INFO - Epoch(val) [3][1500/2475] eta: 0:01:09 time: 0.0711 data_time: 0.0408 memory: 817 2022/07/29 15:57:23 - mmengine - INFO - Epoch(val) [3][1520/2475] eta: 0:01:15 time: 0.0793 data_time: 0.0469 memory: 817 2022/07/29 15:57:25 - mmengine - INFO - Epoch(val) [3][1540/2475] eta: 0:01:05 time: 0.0702 data_time: 0.0386 memory: 817 2022/07/29 15:57:27 - mmengine - INFO - Epoch(val) [3][1560/2475] eta: 0:01:31 time: 0.0998 data_time: 0.0680 memory: 817 2022/07/29 15:57:28 - mmengine - INFO - Epoch(val) [3][1580/2475] eta: 0:00:57 time: 0.0642 data_time: 0.0339 memory: 817 2022/07/29 15:57:30 - mmengine - INFO - Epoch(val) [3][1600/2475] eta: 0:01:24 time: 0.0971 data_time: 0.0516 memory: 817 2022/07/29 15:57:31 - mmengine - INFO - Epoch(val) [3][1620/2475] eta: 0:01:03 time: 0.0742 data_time: 0.0438 memory: 817 2022/07/29 15:57:33 - mmengine - INFO - Epoch(val) [3][1640/2475] eta: 0:01:27 time: 0.1049 data_time: 0.0736 memory: 817 2022/07/29 15:57:35 - mmengine - INFO - Epoch(val) [3][1660/2475] eta: 0:00:55 time: 0.0687 data_time: 0.0385 memory: 817 2022/07/29 15:57:36 - mmengine - INFO - Epoch(val) [3][1680/2475] eta: 0:00:58 time: 0.0736 data_time: 0.0423 memory: 817 2022/07/29 15:57:38 - mmengine - INFO - Epoch(val) [3][1700/2475] eta: 0:01:21 time: 0.1046 data_time: 0.0744 memory: 817 2022/07/29 15:57:40 - mmengine - INFO - Epoch(val) [3][1720/2475] eta: 0:00:52 time: 0.0696 data_time: 0.0384 memory: 817 2022/07/29 15:57:41 - mmengine - INFO - Epoch(val) [3][1740/2475] eta: 0:00:49 time: 0.0675 data_time: 0.0361 memory: 817 2022/07/29 15:57:43 - mmengine - INFO - Epoch(val) [3][1760/2475] eta: 0:01:09 time: 0.0976 data_time: 0.0670 memory: 817 2022/07/29 15:57:45 - mmengine - INFO - Epoch(val) [3][1780/2475] eta: 0:00:49 time: 0.0715 data_time: 0.0402 memory: 817 2022/07/29 15:57:47 - mmengine - INFO - Epoch(val) [3][1800/2475] eta: 0:01:09 time: 0.1035 data_time: 0.0710 memory: 817 2022/07/29 15:57:48 - mmengine - INFO - Epoch(val) [3][1820/2475] eta: 0:00:47 time: 0.0726 data_time: 0.0428 memory: 817 2022/07/29 15:57:50 - mmengine - INFO - Epoch(val) [3][1840/2475] eta: 0:01:05 time: 0.1036 data_time: 0.0287 memory: 817 2022/07/29 15:57:51 - mmengine - INFO - Epoch(val) [3][1860/2475] eta: 0:00:30 time: 0.0494 data_time: 0.0090 memory: 817 2022/07/29 15:57:53 - mmengine - INFO - Epoch(val) [3][1880/2475] eta: 0:00:43 time: 0.0733 data_time: 0.0415 memory: 817 2022/07/29 15:57:55 - mmengine - INFO - Epoch(val) [3][1900/2475] eta: 0:00:57 time: 0.0998 data_time: 0.0692 memory: 817 2022/07/29 15:57:56 - mmengine - INFO - Epoch(val) [3][1920/2475] eta: 0:00:38 time: 0.0702 data_time: 0.0394 memory: 817 2022/07/29 15:57:58 - mmengine - INFO - Epoch(val) [3][1940/2475] eta: 0:00:46 time: 0.0868 data_time: 0.0564 memory: 817 2022/07/29 15:57:59 - mmengine - INFO - Epoch(val) [3][1960/2475] eta: 0:00:34 time: 0.0669 data_time: 0.0345 memory: 817 2022/07/29 15:58:01 - mmengine - INFO - Epoch(val) [3][1980/2475] eta: 0:00:36 time: 0.0736 data_time: 0.0424 memory: 817 2022/07/29 15:58:02 - mmengine - INFO - Epoch(val) [3][2000/2475] eta: 0:00:41 time: 0.0871 data_time: 0.0544 memory: 817 2022/07/29 15:58:04 - mmengine - INFO - Epoch(val) [3][2020/2475] eta: 0:00:33 time: 0.0745 data_time: 0.0435 memory: 817 2022/07/29 15:58:05 - mmengine - INFO - Epoch(val) [3][2040/2475] eta: 0:00:36 time: 0.0846 data_time: 0.0521 memory: 817 2022/07/29 15:58:07 - mmengine - INFO - Epoch(val) [3][2060/2475] eta: 0:00:40 time: 0.0980 data_time: 0.0651 memory: 817 2022/07/29 15:58:10 - mmengine - INFO - Epoch(val) [3][2080/2475] eta: 0:00:46 time: 0.1182 data_time: 0.0794 memory: 817 2022/07/29 15:58:11 - mmengine - INFO - Epoch(val) [3][2100/2475] eta: 0:00:25 time: 0.0691 data_time: 0.0359 memory: 817 2022/07/29 15:58:13 - mmengine - INFO - Epoch(val) [3][2120/2475] eta: 0:00:26 time: 0.0754 data_time: 0.0448 memory: 817 2022/07/29 15:58:14 - mmengine - INFO - Epoch(val) [3][2140/2475] eta: 0:00:29 time: 0.0886 data_time: 0.0568 memory: 817 2022/07/29 15:58:16 - mmengine - INFO - Epoch(val) [3][2160/2475] eta: 0:00:21 time: 0.0689 data_time: 0.0380 memory: 817 2022/07/29 15:58:17 - mmengine - INFO - Epoch(val) [3][2180/2475] eta: 0:00:21 time: 0.0712 data_time: 0.0401 memory: 817 2022/07/29 15:58:20 - mmengine - INFO - Epoch(val) [3][2200/2475] eta: 0:00:30 time: 0.1111 data_time: 0.0805 memory: 817 2022/07/29 15:58:22 - mmengine - INFO - Epoch(val) [3][2220/2475] eta: 0:00:31 time: 0.1230 data_time: 0.0912 memory: 817 2022/07/29 15:58:23 - mmengine - INFO - Epoch(val) [3][2240/2475] eta: 0:00:16 time: 0.0718 data_time: 0.0391 memory: 817 2022/07/29 15:58:26 - mmengine - INFO - Epoch(val) [3][2260/2475] eta: 0:00:26 time: 0.1218 data_time: 0.0897 memory: 817 2022/07/29 15:58:27 - mmengine - INFO - Epoch(val) [3][2280/2475] eta: 0:00:13 time: 0.0688 data_time: 0.0383 memory: 817 2022/07/29 15:58:29 - mmengine - INFO - Epoch(val) [3][2300/2475] eta: 0:00:14 time: 0.0810 data_time: 0.0510 memory: 817 2022/07/29 15:58:30 - mmengine - INFO - Epoch(val) [3][2320/2475] eta: 0:00:10 time: 0.0687 data_time: 0.0167 memory: 817 2022/07/29 15:58:32 - mmengine - INFO - Epoch(val) [3][2340/2475] eta: 0:00:11 time: 0.0857 data_time: 0.0542 memory: 817 2022/07/29 15:58:33 - mmengine - INFO - Epoch(val) [3][2360/2475] eta: 0:00:07 time: 0.0673 data_time: 0.0368 memory: 817 2022/07/29 15:58:35 - mmengine - INFO - Epoch(val) [3][2380/2475] eta: 0:00:09 time: 0.1025 data_time: 0.0718 memory: 817 2022/07/29 15:58:37 - mmengine - INFO - Epoch(val) [3][2400/2475] eta: 0:00:06 time: 0.0914 data_time: 0.0595 memory: 817 2022/07/29 15:58:39 - mmengine - INFO - Epoch(val) [3][2420/2475] eta: 0:00:05 time: 0.1044 data_time: 0.0726 memory: 817 2022/07/29 15:58:40 - mmengine - INFO - Epoch(val) [3][2440/2475] eta: 0:00:01 time: 0.0532 data_time: 0.0211 memory: 817 2022/07/29 15:58:42 - mmengine - INFO - Epoch(val) [3][2460/2475] eta: 0:00:01 time: 0.0723 data_time: 0.0398 memory: 817 2022/07/29 15:58:46 - mmengine - INFO - Epoch(val) [3][2475/2475] acc/top1: 0.6581 acc/top5: 0.8652 acc/mean1: 0.6581 2022/07/29 15:58:49 - mmengine - INFO - The best checkpoint with 0.6581 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/07/29 15:59:17 - mmengine - INFO - Epoch(train) [4][20/2505] lr: 1.4000e-04 eta: 1 day, 15:39:36 time: 1.4016 data_time: 0.8053 memory: 32703 grad_norm: 34.4816 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9970 loss: 1.9970 2022/07/29 15:59:35 - mmengine - INFO - Epoch(train) [4][40/2505] lr: 1.4000e-04 eta: 1 day, 15:38:25 time: 0.9009 data_time: 0.1898 memory: 32703 grad_norm: 34.8512 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0656 loss: 2.0656 2022/07/29 15:59:56 - mmengine - INFO - Epoch(train) [4][60/2505] lr: 1.4000e-04 eta: 1 day, 15:38:15 time: 1.0653 data_time: 0.1241 memory: 32703 grad_norm: 38.2277 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9186 loss: 1.9186 2022/07/29 16:00:15 - mmengine - INFO - Epoch(train) [4][80/2505] lr: 1.4000e-04 eta: 1 day, 15:37:21 time: 0.9428 data_time: 0.0312 memory: 32703 grad_norm: 35.4798 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8839 loss: 1.8839 2022/07/29 16:00:35 - mmengine - INFO - Epoch(train) [4][100/2505] lr: 1.4000e-04 eta: 1 day, 15:36:48 time: 1.0029 data_time: 0.0317 memory: 32703 grad_norm: 36.2227 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.0124 loss: 2.0124 2022/07/29 16:00:53 - mmengine - INFO - Epoch(train) [4][120/2505] lr: 1.4000e-04 eta: 1 day, 15:35:45 time: 0.9177 data_time: 0.0293 memory: 32703 grad_norm: 34.0874 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9957 loss: 1.9957 2022/07/29 16:01:15 - mmengine - INFO - Epoch(train) [4][140/2505] lr: 1.4000e-04 eta: 1 day, 15:35:35 time: 1.0650 data_time: 0.0325 memory: 32703 grad_norm: 35.3540 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.2989 loss: 2.2989 2022/07/29 16:01:34 - mmengine - INFO - Epoch(train) [4][160/2505] lr: 1.4000e-04 eta: 1 day, 15:34:42 time: 0.9470 data_time: 0.0256 memory: 32703 grad_norm: 36.3315 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0858 loss: 2.0858 2022/07/29 16:01:55 - mmengine - INFO - Epoch(train) [4][180/2505] lr: 1.4000e-04 eta: 1 day, 15:34:41 time: 1.0913 data_time: 0.0295 memory: 32703 grad_norm: 36.8802 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.1798 loss: 2.1798 2022/07/29 16:02:14 - mmengine - INFO - Epoch(train) [4][200/2505] lr: 1.4000e-04 eta: 1 day, 15:33:44 time: 0.9339 data_time: 0.0279 memory: 32703 grad_norm: 33.9420 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9524 loss: 1.9524 2022/07/29 16:02:35 - mmengine - INFO - Epoch(train) [4][220/2505] lr: 1.4000e-04 eta: 1 day, 15:33:31 time: 1.0544 data_time: 0.0288 memory: 32703 grad_norm: 34.9217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9437 loss: 1.9437 2022/07/29 16:02:55 - mmengine - INFO - Epoch(train) [4][240/2505] lr: 1.4000e-04 eta: 1 day, 15:33:00 time: 1.0074 data_time: 0.0321 memory: 32703 grad_norm: 34.7302 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9719 loss: 1.9719 2022/07/29 16:03:13 - mmengine - INFO - Epoch(train) [4][260/2505] lr: 1.4000e-04 eta: 1 day, 15:31:43 time: 0.8773 data_time: 0.0294 memory: 32703 grad_norm: 34.2667 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7459 loss: 1.7459 2022/07/29 16:03:32 - mmengine - INFO - Epoch(train) [4][280/2505] lr: 1.4000e-04 eta: 1 day, 15:30:47 time: 0.9339 data_time: 0.0287 memory: 32703 grad_norm: 36.2282 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 2.0689 loss: 2.0689 2022/07/29 16:03:52 - mmengine - INFO - Epoch(train) [4][300/2505] lr: 1.4000e-04 eta: 1 day, 15:30:31 time: 1.0474 data_time: 0.0317 memory: 32703 grad_norm: 35.3749 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9295 loss: 1.9295 2022/07/29 16:04:08 - mmengine - INFO - Epoch(train) [4][320/2505] lr: 1.4000e-04 eta: 1 day, 15:28:46 time: 0.7959 data_time: 0.0499 memory: 32703 grad_norm: 35.1333 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9411 loss: 1.9411 2022/07/29 16:04:29 - mmengine - INFO - Epoch(train) [4][340/2505] lr: 1.4000e-04 eta: 1 day, 15:28:31 time: 1.0488 data_time: 0.0653 memory: 32703 grad_norm: 34.0929 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.8622 loss: 1.8622 2022/07/29 16:04:48 - mmengine - INFO - Epoch(train) [4][360/2505] lr: 1.4000e-04 eta: 1 day, 15:27:37 time: 0.9390 data_time: 0.0325 memory: 32703 grad_norm: 33.6326 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7878 loss: 1.7878 2022/07/29 16:05:10 - mmengine - INFO - Epoch(train) [4][380/2505] lr: 1.4000e-04 eta: 1 day, 15:27:29 time: 1.0696 data_time: 0.0271 memory: 32703 grad_norm: 34.4390 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.9110 loss: 1.9110 2022/07/29 16:05:28 - mmengine - INFO - Epoch(train) [4][400/2505] lr: 1.4000e-04 eta: 1 day, 15:26:22 time: 0.9014 data_time: 0.0263 memory: 32703 grad_norm: 36.4367 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6177 loss: 1.6177 2022/07/29 16:05:49 - mmengine - INFO - Epoch(train) [4][420/2505] lr: 1.4000e-04 eta: 1 day, 15:26:11 time: 1.0616 data_time: 0.0265 memory: 32703 grad_norm: 34.8258 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8632 loss: 1.8632 2022/07/29 16:06:08 - mmengine - INFO - Epoch(train) [4][440/2505] lr: 1.4000e-04 eta: 1 day, 15:25:22 time: 0.9509 data_time: 0.0299 memory: 32703 grad_norm: 34.3675 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8236 loss: 1.8236 2022/07/29 16:06:28 - mmengine - INFO - Epoch(train) [4][460/2505] lr: 1.4000e-04 eta: 1 day, 15:24:44 time: 0.9820 data_time: 0.0276 memory: 32703 grad_norm: 34.4527 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8177 loss: 1.8177 2022/07/29 16:06:46 - mmengine - INFO - Epoch(train) [4][480/2505] lr: 1.4000e-04 eta: 1 day, 15:23:48 time: 0.9326 data_time: 0.0411 memory: 32703 grad_norm: 35.4000 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8081 loss: 1.8081 2022/07/29 16:06:54 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 16:07:08 - mmengine - INFO - Epoch(train) [4][500/2505] lr: 1.4000e-04 eta: 1 day, 15:23:48 time: 1.0907 data_time: 0.0382 memory: 32703 grad_norm: 34.0172 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.2418 loss: 2.2418 2022/07/29 16:07:25 - mmengine - INFO - Epoch(train) [4][520/2505] lr: 1.4000e-04 eta: 1 day, 15:22:31 time: 0.8697 data_time: 0.0314 memory: 32703 grad_norm: 35.3158 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9985 loss: 1.9985 2022/07/29 16:07:46 - mmengine - INFO - Epoch(train) [4][540/2505] lr: 1.4000e-04 eta: 1 day, 15:22:05 time: 1.0184 data_time: 0.0369 memory: 32703 grad_norm: 34.2134 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9675 loss: 1.9675 2022/07/29 16:08:05 - mmengine - INFO - Epoch(train) [4][560/2505] lr: 1.4000e-04 eta: 1 day, 15:21:17 time: 0.9517 data_time: 0.0409 memory: 32703 grad_norm: 34.7813 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7945 loss: 1.7945 2022/07/29 16:08:25 - mmengine - INFO - Epoch(train) [4][580/2505] lr: 1.4000e-04 eta: 1 day, 15:20:44 time: 0.9961 data_time: 0.0334 memory: 32703 grad_norm: 33.4216 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9369 loss: 1.9369 2022/07/29 16:08:44 - mmengine - INFO - Epoch(train) [4][600/2505] lr: 1.4000e-04 eta: 1 day, 15:19:59 time: 0.9592 data_time: 0.0285 memory: 32703 grad_norm: 33.9759 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8354 loss: 1.8354 2022/07/29 16:09:05 - mmengine - INFO - Epoch(train) [4][620/2505] lr: 1.4000e-04 eta: 1 day, 15:19:38 time: 1.0330 data_time: 0.0316 memory: 32703 grad_norm: 34.5618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7810 loss: 1.7810 2022/07/29 16:09:24 - mmengine - INFO - Epoch(train) [4][640/2505] lr: 1.4000e-04 eta: 1 day, 15:18:57 time: 0.9709 data_time: 0.0279 memory: 32703 grad_norm: 34.0331 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8821 loss: 1.8821 2022/07/29 16:09:44 - mmengine - INFO - Epoch(train) [4][660/2505] lr: 1.4000e-04 eta: 1 day, 15:18:23 time: 0.9916 data_time: 0.0396 memory: 32703 grad_norm: 32.5147 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.9855 loss: 1.9855 2022/07/29 16:10:05 - mmengine - INFO - Epoch(train) [4][680/2505] lr: 1.4000e-04 eta: 1 day, 15:18:12 time: 1.0622 data_time: 0.0315 memory: 32703 grad_norm: 34.6223 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0743 loss: 2.0743 2022/07/29 16:10:23 - mmengine - INFO - Epoch(train) [4][700/2505] lr: 1.4000e-04 eta: 1 day, 15:17:14 time: 0.9181 data_time: 0.0304 memory: 32703 grad_norm: 33.5854 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9896 loss: 1.9896 2022/07/29 16:10:43 - mmengine - INFO - Epoch(train) [4][720/2505] lr: 1.4000e-04 eta: 1 day, 15:16:39 time: 0.9904 data_time: 0.0335 memory: 32703 grad_norm: 33.9055 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.9166 loss: 1.9166 2022/07/29 16:11:03 - mmengine - INFO - Epoch(train) [4][740/2505] lr: 1.4000e-04 eta: 1 day, 15:16:04 time: 0.9882 data_time: 0.0295 memory: 32703 grad_norm: 34.5342 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.2103 loss: 2.2103 2022/07/29 16:11:23 - mmengine - INFO - Epoch(train) [4][760/2505] lr: 1.4000e-04 eta: 1 day, 15:15:33 time: 1.0005 data_time: 0.0274 memory: 32703 grad_norm: 35.3882 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.9491 loss: 1.9491 2022/07/29 16:11:42 - mmengine - INFO - Epoch(train) [4][780/2505] lr: 1.4000e-04 eta: 1 day, 15:14:50 time: 0.9632 data_time: 0.0414 memory: 32703 grad_norm: 35.4935 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.9704 loss: 1.9704 2022/07/29 16:12:02 - mmengine - INFO - Epoch(train) [4][800/2505] lr: 1.4000e-04 eta: 1 day, 15:14:12 time: 0.9778 data_time: 0.0284 memory: 32703 grad_norm: 33.2448 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.0658 loss: 2.0658 2022/07/29 16:12:22 - mmengine - INFO - Epoch(train) [4][820/2505] lr: 1.4000e-04 eta: 1 day, 15:13:49 time: 1.0235 data_time: 0.0285 memory: 32703 grad_norm: 33.7989 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.9354 loss: 1.9354 2022/07/29 16:12:41 - mmengine - INFO - Epoch(train) [4][840/2505] lr: 1.4000e-04 eta: 1 day, 15:13:01 time: 0.9495 data_time: 0.0491 memory: 32703 grad_norm: 34.0513 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6731 loss: 1.6731 2022/07/29 16:13:02 - mmengine - INFO - Epoch(train) [4][860/2505] lr: 1.4000e-04 eta: 1 day, 15:12:34 time: 1.0103 data_time: 0.0352 memory: 32703 grad_norm: 33.1864 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7985 loss: 1.7985 2022/07/29 16:13:20 - mmengine - INFO - Epoch(train) [4][880/2505] lr: 1.4000e-04 eta: 1 day, 15:11:36 time: 0.9155 data_time: 0.0351 memory: 32703 grad_norm: 34.8015 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7952 loss: 1.7952 2022/07/29 16:13:41 - mmengine - INFO - Epoch(train) [4][900/2505] lr: 1.4000e-04 eta: 1 day, 15:11:18 time: 1.0410 data_time: 0.0263 memory: 32703 grad_norm: 33.0624 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7451 loss: 1.7451 2022/07/29 16:13:59 - mmengine - INFO - Epoch(train) [4][920/2505] lr: 1.4000e-04 eta: 1 day, 15:10:20 time: 0.9145 data_time: 0.0287 memory: 32703 grad_norm: 35.0460 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.1605 loss: 2.1605 2022/07/29 16:14:19 - mmengine - INFO - Epoch(train) [4][940/2505] lr: 1.4000e-04 eta: 1 day, 15:09:57 time: 1.0245 data_time: 0.0264 memory: 32703 grad_norm: 33.6710 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.1634 loss: 2.1634 2022/07/29 16:14:38 - mmengine - INFO - Epoch(train) [4][960/2505] lr: 1.4000e-04 eta: 1 day, 15:09:02 time: 0.9213 data_time: 0.0304 memory: 32703 grad_norm: 32.6756 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0413 loss: 2.0413 2022/07/29 16:14:59 - mmengine - INFO - Epoch(train) [4][980/2505] lr: 1.4000e-04 eta: 1 day, 15:08:57 time: 1.0793 data_time: 0.0309 memory: 32703 grad_norm: 34.9338 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.3665 loss: 2.3665 2022/07/29 16:15:17 - mmengine - INFO - Epoch(train) [4][1000/2505] lr: 1.4000e-04 eta: 1 day, 15:07:49 time: 0.8830 data_time: 0.0303 memory: 32703 grad_norm: 33.0880 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0625 loss: 2.0625 2022/07/29 16:15:40 - mmengine - INFO - Epoch(train) [4][1020/2505] lr: 1.4000e-04 eta: 1 day, 15:08:03 time: 1.1394 data_time: 0.0304 memory: 32703 grad_norm: 34.3277 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8078 loss: 1.8078 2022/07/29 16:15:58 - mmengine - INFO - Epoch(train) [4][1040/2505] lr: 1.4000e-04 eta: 1 day, 15:07:04 time: 0.9088 data_time: 0.0655 memory: 32703 grad_norm: 34.6912 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0279 loss: 2.0279 2022/07/29 16:16:18 - mmengine - INFO - Epoch(train) [4][1060/2505] lr: 1.4000e-04 eta: 1 day, 15:06:38 time: 1.0142 data_time: 0.0315 memory: 32703 grad_norm: 33.9273 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.0261 loss: 2.0261 2022/07/29 16:16:38 - mmengine - INFO - Epoch(train) [4][1080/2505] lr: 1.4000e-04 eta: 1 day, 15:05:56 time: 0.9619 data_time: 0.0285 memory: 32703 grad_norm: 34.3752 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.8800 loss: 1.8800 2022/07/29 16:16:57 - mmengine - INFO - Epoch(train) [4][1100/2505] lr: 1.4000e-04 eta: 1 day, 15:05:14 time: 0.9612 data_time: 0.0283 memory: 32703 grad_norm: 34.6016 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.0101 loss: 2.0101 2022/07/29 16:17:16 - mmengine - INFO - Epoch(train) [4][1120/2505] lr: 1.4000e-04 eta: 1 day, 15:04:25 time: 0.9405 data_time: 0.0291 memory: 32703 grad_norm: 33.8853 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.1240 loss: 2.1240 2022/07/29 16:17:37 - mmengine - INFO - Epoch(train) [4][1140/2505] lr: 1.4000e-04 eta: 1 day, 15:04:11 time: 1.0489 data_time: 0.0296 memory: 32703 grad_norm: 33.3634 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6743 loss: 1.6743 2022/07/29 16:17:55 - mmengine - INFO - Epoch(train) [4][1160/2505] lr: 1.4000e-04 eta: 1 day, 15:03:20 time: 0.9323 data_time: 0.0326 memory: 32703 grad_norm: 31.7685 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9326 loss: 1.9326 2022/07/29 16:18:16 - mmengine - INFO - Epoch(train) [4][1180/2505] lr: 1.4000e-04 eta: 1 day, 15:03:02 time: 1.0398 data_time: 0.0295 memory: 32703 grad_norm: 34.8821 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8360 loss: 1.8360 2022/07/29 16:18:34 - mmengine - INFO - Epoch(train) [4][1200/2505] lr: 1.4000e-04 eta: 1 day, 15:02:01 time: 0.8996 data_time: 0.0298 memory: 32703 grad_norm: 34.0229 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9696 loss: 1.9696 2022/07/29 16:18:54 - mmengine - INFO - Epoch(train) [4][1220/2505] lr: 1.4000e-04 eta: 1 day, 15:01:31 time: 0.9996 data_time: 0.0297 memory: 32703 grad_norm: 32.6650 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8809 loss: 1.8809 2022/07/29 16:19:11 - mmengine - INFO - Epoch(train) [4][1240/2505] lr: 1.4000e-04 eta: 1 day, 15:00:14 time: 0.8455 data_time: 0.0295 memory: 32703 grad_norm: 32.6504 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8581 loss: 1.8581 2022/07/29 16:19:32 - mmengine - INFO - Epoch(train) [4][1260/2505] lr: 1.4000e-04 eta: 1 day, 15:00:05 time: 1.0676 data_time: 0.0331 memory: 32703 grad_norm: 32.9511 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8106 loss: 1.8106 2022/07/29 16:19:49 - mmengine - INFO - Epoch(train) [4][1280/2505] lr: 1.4000e-04 eta: 1 day, 14:58:52 time: 0.8600 data_time: 0.0430 memory: 32703 grad_norm: 33.5752 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0796 loss: 2.0796 2022/07/29 16:20:12 - mmengine - INFO - Epoch(train) [4][1300/2505] lr: 1.4000e-04 eta: 1 day, 14:58:59 time: 1.1170 data_time: 0.0255 memory: 32703 grad_norm: 33.4871 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0262 loss: 2.0262 2022/07/29 16:20:29 - mmengine - INFO - Epoch(train) [4][1320/2505] lr: 1.4000e-04 eta: 1 day, 14:57:53 time: 0.8797 data_time: 0.0290 memory: 32703 grad_norm: 34.3816 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.0158 loss: 2.0158 2022/07/29 16:20:51 - mmengine - INFO - Epoch(train) [4][1340/2505] lr: 1.4000e-04 eta: 1 day, 14:57:54 time: 1.0971 data_time: 0.0260 memory: 32703 grad_norm: 33.5744 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7332 loss: 1.7332 2022/07/29 16:21:09 - mmengine - INFO - Epoch(train) [4][1360/2505] lr: 1.4000e-04 eta: 1 day, 14:56:42 time: 0.8612 data_time: 0.0274 memory: 32703 grad_norm: 32.7922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7589 loss: 1.7589 2022/07/29 16:21:29 - mmengine - INFO - Epoch(train) [4][1380/2505] lr: 1.4000e-04 eta: 1 day, 14:56:24 time: 1.0357 data_time: 0.0252 memory: 32703 grad_norm: 34.6209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9845 loss: 1.9845 2022/07/29 16:21:48 - mmengine - INFO - Epoch(train) [4][1400/2505] lr: 1.4000e-04 eta: 1 day, 14:55:37 time: 0.9437 data_time: 0.0352 memory: 32703 grad_norm: 33.5040 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8394 loss: 1.8394 2022/07/29 16:22:09 - mmengine - INFO - Epoch(train) [4][1420/2505] lr: 1.4000e-04 eta: 1 day, 14:55:17 time: 1.0275 data_time: 0.0367 memory: 32703 grad_norm: 33.5047 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8773 loss: 1.8773 2022/07/29 16:22:28 - mmengine - INFO - Epoch(train) [4][1440/2505] lr: 1.4000e-04 eta: 1 day, 14:54:42 time: 0.9817 data_time: 0.0325 memory: 32703 grad_norm: 34.0661 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1080 loss: 2.1080 2022/07/29 16:22:49 - mmengine - INFO - Epoch(train) [4][1460/2505] lr: 1.4000e-04 eta: 1 day, 14:54:24 time: 1.0356 data_time: 0.0286 memory: 32703 grad_norm: 33.1238 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1169 loss: 2.1169 2022/07/29 16:23:07 - mmengine - INFO - Epoch(train) [4][1480/2505] lr: 1.4000e-04 eta: 1 day, 14:53:24 time: 0.8968 data_time: 0.0284 memory: 32703 grad_norm: 32.9566 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.1467 loss: 2.1467 2022/07/29 16:23:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 16:23:27 - mmengine - INFO - Epoch(train) [4][1500/2505] lr: 1.4000e-04 eta: 1 day, 14:52:58 time: 1.0102 data_time: 0.0274 memory: 32703 grad_norm: 33.6783 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9750 loss: 1.9750 2022/07/29 16:23:46 - mmengine - INFO - Epoch(train) [4][1520/2505] lr: 1.4000e-04 eta: 1 day, 14:52:13 time: 0.9447 data_time: 0.0367 memory: 32703 grad_norm: 34.5352 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7499 loss: 1.7499 2022/07/29 16:24:07 - mmengine - INFO - Epoch(train) [4][1540/2505] lr: 1.4000e-04 eta: 1 day, 14:52:04 time: 1.0670 data_time: 0.0346 memory: 32703 grad_norm: 31.4051 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7607 loss: 1.7607 2022/07/29 16:24:24 - mmengine - INFO - Epoch(train) [4][1560/2505] lr: 1.4000e-04 eta: 1 day, 14:50:46 time: 0.8356 data_time: 0.0640 memory: 32703 grad_norm: 32.9718 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7574 loss: 1.7574 2022/07/29 16:24:47 - mmengine - INFO - Epoch(train) [4][1580/2505] lr: 1.4000e-04 eta: 1 day, 14:50:57 time: 1.1304 data_time: 0.0278 memory: 32703 grad_norm: 33.1481 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8429 loss: 1.8429 2022/07/29 16:25:08 - mmengine - INFO - Epoch(train) [4][1600/2505] lr: 1.4000e-04 eta: 1 day, 14:50:49 time: 1.0699 data_time: 0.0309 memory: 32703 grad_norm: 34.5107 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8348 loss: 1.8348 2022/07/29 16:25:26 - mmengine - INFO - Epoch(train) [4][1620/2505] lr: 1.4000e-04 eta: 1 day, 14:49:41 time: 0.8683 data_time: 0.0277 memory: 32703 grad_norm: 32.9269 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.6972 loss: 1.6972 2022/07/29 16:25:46 - mmengine - INFO - Epoch(train) [4][1640/2505] lr: 1.4000e-04 eta: 1 day, 14:49:21 time: 1.0266 data_time: 0.0296 memory: 32703 grad_norm: 33.1125 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8183 loss: 1.8183 2022/07/29 16:26:05 - mmengine - INFO - Epoch(train) [4][1660/2505] lr: 1.4000e-04 eta: 1 day, 14:48:30 time: 0.9258 data_time: 0.0339 memory: 32703 grad_norm: 33.8132 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0352 loss: 2.0352 2022/07/29 16:26:25 - mmengine - INFO - Epoch(train) [4][1680/2505] lr: 1.4000e-04 eta: 1 day, 14:48:12 time: 1.0342 data_time: 0.0282 memory: 32703 grad_norm: 34.1334 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9395 loss: 1.9395 2022/07/29 16:26:45 - mmengine - INFO - Epoch(train) [4][1700/2505] lr: 1.4000e-04 eta: 1 day, 14:47:43 time: 0.9991 data_time: 0.0277 memory: 32703 grad_norm: 32.3552 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9707 loss: 1.9707 2022/07/29 16:27:06 - mmengine - INFO - Epoch(train) [4][1720/2505] lr: 1.4000e-04 eta: 1 day, 14:47:21 time: 1.0183 data_time: 0.0387 memory: 32703 grad_norm: 34.2807 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6557 loss: 1.6557 2022/07/29 16:27:23 - mmengine - INFO - Epoch(train) [4][1740/2505] lr: 1.4000e-04 eta: 1 day, 14:46:20 time: 0.8906 data_time: 0.0307 memory: 32703 grad_norm: 32.8249 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9871 loss: 1.9871 2022/07/29 16:27:46 - mmengine - INFO - Epoch(train) [4][1760/2505] lr: 1.4000e-04 eta: 1 day, 14:46:28 time: 1.1221 data_time: 0.0277 memory: 32703 grad_norm: 32.4311 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7117 loss: 1.7117 2022/07/29 16:28:04 - mmengine - INFO - Epoch(train) [4][1780/2505] lr: 1.4000e-04 eta: 1 day, 14:45:32 time: 0.9045 data_time: 0.0305 memory: 32703 grad_norm: 32.8794 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.9279 loss: 1.9279 2022/07/29 16:28:24 - mmengine - INFO - Epoch(train) [4][1800/2505] lr: 1.4000e-04 eta: 1 day, 14:45:05 time: 1.0066 data_time: 0.0294 memory: 32703 grad_norm: 32.9437 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0113 loss: 2.0113 2022/07/29 16:28:44 - mmengine - INFO - Epoch(train) [4][1820/2505] lr: 1.4000e-04 eta: 1 day, 14:44:30 time: 0.9733 data_time: 0.0376 memory: 32703 grad_norm: 32.9417 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0361 loss: 2.0361 2022/07/29 16:29:05 - mmengine - INFO - Epoch(train) [4][1840/2505] lr: 1.4000e-04 eta: 1 day, 14:44:19 time: 1.0605 data_time: 0.0290 memory: 32703 grad_norm: 32.4905 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7186 loss: 1.7186 2022/07/29 16:29:23 - mmengine - INFO - Epoch(train) [4][1860/2505] lr: 1.4000e-04 eta: 1 day, 14:43:21 time: 0.8955 data_time: 0.0296 memory: 32703 grad_norm: 32.8958 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0579 loss: 2.0579 2022/07/29 16:29:43 - mmengine - INFO - Epoch(train) [4][1880/2505] lr: 1.4000e-04 eta: 1 day, 14:42:59 time: 1.0207 data_time: 0.0310 memory: 32703 grad_norm: 33.7765 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.9050 loss: 1.9050 2022/07/29 16:30:02 - mmengine - INFO - Epoch(train) [4][1900/2505] lr: 1.4000e-04 eta: 1 day, 14:42:12 time: 0.9353 data_time: 0.0272 memory: 32703 grad_norm: 33.5165 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6756 loss: 1.6756 2022/07/29 16:30:22 - mmengine - INFO - Epoch(train) [4][1920/2505] lr: 1.4000e-04 eta: 1 day, 14:41:52 time: 1.0263 data_time: 0.0306 memory: 32703 grad_norm: 32.3406 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8929 loss: 1.8929 2022/07/29 16:30:41 - mmengine - INFO - Epoch(train) [4][1940/2505] lr: 1.4000e-04 eta: 1 day, 14:40:59 time: 0.9108 data_time: 0.0285 memory: 32703 grad_norm: 32.1610 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8485 loss: 1.8485 2022/07/29 16:31:02 - mmengine - INFO - Epoch(train) [4][1960/2505] lr: 1.4000e-04 eta: 1 day, 14:40:49 time: 1.0635 data_time: 0.0272 memory: 32703 grad_norm: 31.8555 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8321 loss: 1.8321 2022/07/29 16:31:20 - mmengine - INFO - Epoch(train) [4][1980/2505] lr: 1.4000e-04 eta: 1 day, 14:39:49 time: 0.8879 data_time: 0.0348 memory: 32703 grad_norm: 32.5824 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8140 loss: 1.8140 2022/07/29 16:31:42 - mmengine - INFO - Epoch(train) [4][2000/2505] lr: 1.4000e-04 eta: 1 day, 14:39:51 time: 1.1045 data_time: 0.0272 memory: 32703 grad_norm: 33.5599 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8402 loss: 1.8402 2022/07/29 16:31:59 - mmengine - INFO - Epoch(train) [4][2020/2505] lr: 1.4000e-04 eta: 1 day, 14:38:50 time: 0.8805 data_time: 0.0312 memory: 32703 grad_norm: 33.9091 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5817 loss: 1.5817 2022/07/29 16:32:19 - mmengine - INFO - Epoch(train) [4][2040/2505] lr: 1.4000e-04 eta: 1 day, 14:38:25 time: 1.0102 data_time: 0.0303 memory: 32703 grad_norm: 31.6666 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8547 loss: 1.8547 2022/07/29 16:32:37 - mmengine - INFO - Epoch(train) [4][2060/2505] lr: 1.4000e-04 eta: 1 day, 14:37:24 time: 0.8819 data_time: 0.0302 memory: 32703 grad_norm: 31.8732 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8352 loss: 1.8352 2022/07/29 16:32:58 - mmengine - INFO - Epoch(train) [4][2080/2505] lr: 1.4000e-04 eta: 1 day, 14:37:04 time: 1.0257 data_time: 0.0283 memory: 32703 grad_norm: 32.1600 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8736 loss: 1.8736 2022/07/29 16:33:16 - mmengine - INFO - Epoch(train) [4][2100/2505] lr: 1.4000e-04 eta: 1 day, 14:36:16 time: 0.9275 data_time: 0.0293 memory: 32703 grad_norm: 33.4347 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9348 loss: 1.9348 2022/07/29 16:33:40 - mmengine - INFO - Epoch(train) [4][2120/2505] lr: 1.4000e-04 eta: 1 day, 14:36:37 time: 1.1728 data_time: 0.0301 memory: 32703 grad_norm: 32.8445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8416 loss: 1.8416 2022/07/29 16:33:58 - mmengine - INFO - Epoch(train) [4][2140/2505] lr: 1.4000e-04 eta: 1 day, 14:35:47 time: 0.9179 data_time: 0.0320 memory: 32703 grad_norm: 31.3292 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7166 loss: 1.7166 2022/07/29 16:34:18 - mmengine - INFO - Epoch(train) [4][2160/2505] lr: 1.4000e-04 eta: 1 day, 14:35:26 time: 1.0215 data_time: 0.0301 memory: 32703 grad_norm: 34.0941 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8004 loss: 1.8004 2022/07/29 16:34:36 - mmengine - INFO - Epoch(train) [4][2180/2505] lr: 1.4000e-04 eta: 1 day, 14:34:29 time: 0.8960 data_time: 0.0273 memory: 32703 grad_norm: 33.5297 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.8583 loss: 1.8583 2022/07/29 16:34:58 - mmengine - INFO - Epoch(train) [4][2200/2505] lr: 1.4000e-04 eta: 1 day, 14:34:30 time: 1.0996 data_time: 0.0310 memory: 32703 grad_norm: 33.7185 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.7411 loss: 1.7411 2022/07/29 16:35:16 - mmengine - INFO - Epoch(train) [4][2220/2505] lr: 1.4000e-04 eta: 1 day, 14:33:36 time: 0.9047 data_time: 0.0272 memory: 32703 grad_norm: 32.9802 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7861 loss: 1.7861 2022/07/29 16:35:38 - mmengine - INFO - Epoch(train) [4][2240/2505] lr: 1.4000e-04 eta: 1 day, 14:33:29 time: 1.0730 data_time: 0.0366 memory: 32703 grad_norm: 32.3412 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6813 loss: 1.6813 2022/07/29 16:35:55 - mmengine - INFO - Epoch(train) [4][2260/2505] lr: 1.4000e-04 eta: 1 day, 14:32:18 time: 0.8405 data_time: 0.0299 memory: 32703 grad_norm: 32.9820 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.0696 loss: 2.0696 2022/07/29 16:36:16 - mmengine - INFO - Epoch(train) [4][2280/2505] lr: 1.4000e-04 eta: 1 day, 14:32:09 time: 1.0654 data_time: 0.0352 memory: 32703 grad_norm: 32.0003 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6698 loss: 1.6698 2022/07/29 16:36:32 - mmengine - INFO - Epoch(train) [4][2300/2505] lr: 1.4000e-04 eta: 1 day, 14:30:45 time: 0.7949 data_time: 0.0300 memory: 32703 grad_norm: 32.5182 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9095 loss: 1.9095 2022/07/29 16:36:54 - mmengine - INFO - Epoch(train) [4][2320/2505] lr: 1.4000e-04 eta: 1 day, 14:30:43 time: 1.0911 data_time: 0.0265 memory: 32703 grad_norm: 32.7132 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7740 loss: 1.7740 2022/07/29 16:37:17 - mmengine - INFO - Epoch(train) [4][2340/2505] lr: 1.4000e-04 eta: 1 day, 14:31:08 time: 1.1891 data_time: 0.1228 memory: 32703 grad_norm: 31.4425 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7649 loss: 1.7649 2022/07/29 16:37:37 - mmengine - INFO - Epoch(train) [4][2360/2505] lr: 1.4000e-04 eta: 1 day, 14:30:32 time: 0.9679 data_time: 0.1268 memory: 32703 grad_norm: 33.3466 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8235 loss: 1.8235 2022/07/29 16:37:56 - mmengine - INFO - Epoch(train) [4][2380/2505] lr: 1.4000e-04 eta: 1 day, 14:29:59 time: 0.9773 data_time: 0.0378 memory: 32703 grad_norm: 32.0618 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0803 loss: 2.0803 2022/07/29 16:38:14 - mmengine - INFO - Epoch(train) [4][2400/2505] lr: 1.4000e-04 eta: 1 day, 14:28:58 time: 0.8736 data_time: 0.0513 memory: 32703 grad_norm: 32.7684 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8828 loss: 1.8828 2022/07/29 16:38:35 - mmengine - INFO - Epoch(train) [4][2420/2505] lr: 1.4000e-04 eta: 1 day, 14:28:44 time: 1.0473 data_time: 0.0468 memory: 32703 grad_norm: 33.6379 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8375 loss: 1.8375 2022/07/29 16:38:52 - mmengine - INFO - Epoch(train) [4][2440/2505] lr: 1.4000e-04 eta: 1 day, 14:27:45 time: 0.8830 data_time: 0.0283 memory: 32703 grad_norm: 31.5184 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8299 loss: 1.8299 2022/07/29 16:39:18 - mmengine - INFO - Epoch(train) [4][2460/2505] lr: 1.4000e-04 eta: 1 day, 14:28:30 time: 1.2626 data_time: 0.0685 memory: 32703 grad_norm: 32.5541 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8851 loss: 1.8851 2022/07/29 16:39:43 - mmengine - INFO - Epoch(train) [4][2480/2505] lr: 1.4000e-04 eta: 1 day, 14:29:18 time: 1.2778 data_time: 0.0269 memory: 32703 grad_norm: 33.0764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8403 loss: 1.8403 2022/07/29 16:39:46 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 16:39:59 - mmengine - INFO - Epoch(train) [4][2500/2505] lr: 1.4000e-04 eta: 1 day, 14:27:52 time: 0.7827 data_time: 0.0306 memory: 32703 grad_norm: 31.5766 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7859 loss: 1.7859 2022/07/29 16:40:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 16:40:02 - mmengine - INFO - Epoch(train) [4][2505/2505] lr: 1.4000e-04 eta: 1 day, 14:27:52 time: 0.7592 data_time: 0.0178 memory: 32703 grad_norm: 32.9490 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8055 loss: 1.8055 2022/07/29 16:40:02 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/07/29 16:40:32 - mmengine - INFO - Epoch(train) [5][20/2505] lr: 1.7000e-04 eta: 1 day, 14:26:49 time: 1.1412 data_time: 0.5437 memory: 32703 grad_norm: 33.8048 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7673 loss: 1.7673 2022/07/29 16:40:49 - mmengine - INFO - Epoch(train) [5][40/2505] lr: 1.7000e-04 eta: 1 day, 14:25:47 time: 0.8691 data_time: 0.2608 memory: 32703 grad_norm: 33.2579 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.7840 loss: 1.7840 2022/07/29 16:41:11 - mmengine - INFO - Epoch(train) [5][60/2505] lr: 1.7000e-04 eta: 1 day, 14:25:43 time: 1.0822 data_time: 0.4786 memory: 32703 grad_norm: 31.9845 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3836 loss: 1.3836 2022/07/29 16:41:29 - mmengine - INFO - Epoch(train) [5][80/2505] lr: 1.7000e-04 eta: 1 day, 14:24:51 time: 0.9052 data_time: 0.2926 memory: 32703 grad_norm: 33.1833 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8230 loss: 1.8230 2022/07/29 16:41:50 - mmengine - INFO - Epoch(train) [5][100/2505] lr: 1.7000e-04 eta: 1 day, 14:24:35 time: 1.0405 data_time: 0.4364 memory: 32703 grad_norm: 34.1490 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8810 loss: 1.8810 2022/07/29 16:42:14 - mmengine - INFO - Epoch(train) [5][120/2505] lr: 1.7000e-04 eta: 1 day, 14:25:05 time: 1.2116 data_time: 0.5952 memory: 32703 grad_norm: 31.7735 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7805 loss: 1.7805 2022/07/29 16:42:28 - mmengine - INFO - Epoch(train) [5][140/2505] lr: 1.7000e-04 eta: 1 day, 14:23:11 time: 0.6724 data_time: 0.0937 memory: 32703 grad_norm: 31.5554 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0074 loss: 2.0074 2022/07/29 16:42:49 - mmengine - INFO - Epoch(train) [5][160/2505] lr: 1.7000e-04 eta: 1 day, 14:22:57 time: 1.0465 data_time: 0.2980 memory: 32703 grad_norm: 33.3384 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9874 loss: 1.9874 2022/07/29 16:43:18 - mmengine - INFO - Epoch(train) [5][180/2505] lr: 1.7000e-04 eta: 1 day, 14:24:39 time: 1.4855 data_time: 0.1356 memory: 32703 grad_norm: 31.7901 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8141 loss: 1.8141 2022/07/29 16:43:37 - mmengine - INFO - Epoch(train) [5][200/2505] lr: 1.7000e-04 eta: 1 day, 14:23:57 time: 0.9406 data_time: 0.2173 memory: 32703 grad_norm: 31.9538 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6174 loss: 1.6174 2022/07/29 16:43:55 - mmengine - INFO - Epoch(train) [5][220/2505] lr: 1.7000e-04 eta: 1 day, 14:23:07 time: 0.9136 data_time: 0.2107 memory: 32703 grad_norm: 31.3054 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9626 loss: 1.9626 2022/07/29 16:44:16 - mmengine - INFO - Epoch(train) [5][240/2505] lr: 1.7000e-04 eta: 1 day, 14:22:52 time: 1.0430 data_time: 0.2563 memory: 32703 grad_norm: 32.4658 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8626 loss: 1.8626 2022/07/29 16:44:34 - mmengine - INFO - Epoch(train) [5][260/2505] lr: 1.7000e-04 eta: 1 day, 14:21:54 time: 0.8814 data_time: 0.1016 memory: 32703 grad_norm: 33.2006 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.9752 loss: 1.9752 2022/07/29 16:44:55 - mmengine - INFO - Epoch(train) [5][280/2505] lr: 1.7000e-04 eta: 1 day, 14:21:39 time: 1.0434 data_time: 0.3330 memory: 32703 grad_norm: 30.8444 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9235 loss: 1.9235 2022/07/29 16:45:15 - mmengine - INFO - Epoch(train) [5][300/2505] lr: 1.7000e-04 eta: 1 day, 14:21:13 time: 1.0013 data_time: 0.1893 memory: 32703 grad_norm: 32.4344 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6870 loss: 1.6870 2022/07/29 16:45:35 - mmengine - INFO - Epoch(train) [5][320/2505] lr: 1.7000e-04 eta: 1 day, 14:20:45 time: 0.9941 data_time: 0.2449 memory: 32703 grad_norm: 33.0468 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6675 loss: 1.6675 2022/07/29 16:45:54 - mmengine - INFO - Epoch(train) [5][340/2505] lr: 1.7000e-04 eta: 1 day, 14:20:11 time: 0.9698 data_time: 0.2715 memory: 32703 grad_norm: 32.2182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8616 loss: 1.8616 2022/07/29 16:46:15 - mmengine - INFO - Epoch(train) [5][360/2505] lr: 1.7000e-04 eta: 1 day, 14:19:54 time: 1.0378 data_time: 0.3798 memory: 32703 grad_norm: 32.2762 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8322 loss: 1.8322 2022/07/29 16:46:32 - mmengine - INFO - Epoch(train) [5][380/2505] lr: 1.7000e-04 eta: 1 day, 14:18:57 time: 0.8799 data_time: 0.2674 memory: 32703 grad_norm: 30.9262 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 1.7965 loss: 1.7965 2022/07/29 16:46:53 - mmengine - INFO - Epoch(train) [5][400/2505] lr: 1.7000e-04 eta: 1 day, 14:18:34 time: 1.0145 data_time: 0.4109 memory: 32703 grad_norm: 32.6114 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0520 loss: 2.0520 2022/07/29 16:47:12 - mmengine - INFO - Epoch(train) [5][420/2505] lr: 1.7000e-04 eta: 1 day, 14:17:53 time: 0.9427 data_time: 0.3396 memory: 32703 grad_norm: 31.7194 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9313 loss: 1.9313 2022/07/29 16:47:33 - mmengine - INFO - Epoch(train) [5][440/2505] lr: 1.7000e-04 eta: 1 day, 14:17:47 time: 1.0769 data_time: 0.4748 memory: 32703 grad_norm: 31.9538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6376 loss: 1.6376 2022/07/29 16:47:52 - mmengine - INFO - Epoch(train) [5][460/2505] lr: 1.7000e-04 eta: 1 day, 14:17:11 time: 0.9648 data_time: 0.3855 memory: 32703 grad_norm: 31.3807 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6529 loss: 1.6529 2022/07/29 16:48:13 - mmengine - INFO - Epoch(train) [5][480/2505] lr: 1.7000e-04 eta: 1 day, 14:16:55 time: 1.0403 data_time: 0.4565 memory: 32703 grad_norm: 31.9758 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0414 loss: 2.0414 2022/07/29 16:48:30 - mmengine - INFO - Epoch(train) [5][500/2505] lr: 1.7000e-04 eta: 1 day, 14:15:48 time: 0.8408 data_time: 0.2472 memory: 32703 grad_norm: 32.4120 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.8563 loss: 1.8563 2022/07/29 16:48:52 - mmengine - INFO - Epoch(train) [5][520/2505] lr: 1.7000e-04 eta: 1 day, 14:15:46 time: 1.0918 data_time: 0.4754 memory: 32703 grad_norm: 31.7460 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8585 loss: 1.8585 2022/07/29 16:49:11 - mmengine - INFO - Epoch(train) [5][540/2505] lr: 1.7000e-04 eta: 1 day, 14:15:05 time: 0.9421 data_time: 0.3302 memory: 32703 grad_norm: 32.8761 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5142 loss: 1.5142 2022/07/29 16:49:36 - mmengine - INFO - Epoch(train) [5][560/2505] lr: 1.7000e-04 eta: 1 day, 14:15:40 time: 1.2407 data_time: 0.6161 memory: 32703 grad_norm: 31.7740 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8489 loss: 1.8489 2022/07/29 16:49:55 - mmengine - INFO - Epoch(train) [5][580/2505] lr: 1.7000e-04 eta: 1 day, 14:15:12 time: 0.9912 data_time: 0.3733 memory: 32703 grad_norm: 31.2466 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.8074 loss: 1.8074 2022/07/29 16:50:22 - mmengine - INFO - Epoch(train) [5][600/2505] lr: 1.7000e-04 eta: 1 day, 14:16:04 time: 1.3093 data_time: 0.6854 memory: 32703 grad_norm: 30.9615 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7451 loss: 1.7451 2022/07/29 16:50:39 - mmengine - INFO - Epoch(train) [5][620/2505] lr: 1.7000e-04 eta: 1 day, 14:15:02 time: 0.8579 data_time: 0.1078 memory: 32703 grad_norm: 32.2788 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.8190 loss: 1.8190 2022/07/29 16:50:57 - mmengine - INFO - Epoch(train) [5][640/2505] lr: 1.7000e-04 eta: 1 day, 14:14:10 time: 0.8999 data_time: 0.0272 memory: 32703 grad_norm: 30.9967 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9139 loss: 1.9139 2022/07/29 16:51:21 - mmengine - INFO - Epoch(train) [5][660/2505] lr: 1.7000e-04 eta: 1 day, 14:14:36 time: 1.2051 data_time: 0.0320 memory: 32703 grad_norm: 32.1960 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7317 loss: 1.7317 2022/07/29 16:51:45 - mmengine - INFO - Epoch(train) [5][680/2505] lr: 1.7000e-04 eta: 1 day, 14:15:02 time: 1.2073 data_time: 0.0979 memory: 32703 grad_norm: 32.0365 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0462 loss: 2.0462 2022/07/29 16:52:04 - mmengine - INFO - Epoch(train) [5][700/2505] lr: 1.7000e-04 eta: 1 day, 14:14:24 time: 0.9543 data_time: 0.0297 memory: 32703 grad_norm: 33.5737 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7995 loss: 1.7995 2022/07/29 16:52:20 - mmengine - INFO - Epoch(train) [5][720/2505] lr: 1.7000e-04 eta: 1 day, 14:13:03 time: 0.7792 data_time: 0.0315 memory: 32703 grad_norm: 31.9226 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9169 loss: 1.9169 2022/07/29 16:52:42 - mmengine - INFO - Epoch(train) [5][740/2505] lr: 1.7000e-04 eta: 1 day, 14:13:08 time: 1.1246 data_time: 0.0372 memory: 32703 grad_norm: 32.5198 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7416 loss: 1.7416 2022/07/29 16:53:00 - mmengine - INFO - Epoch(train) [5][760/2505] lr: 1.7000e-04 eta: 1 day, 14:12:12 time: 0.8802 data_time: 0.0333 memory: 32703 grad_norm: 31.3147 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.0621 loss: 2.0621 2022/07/29 16:53:20 - mmengine - INFO - Epoch(train) [5][780/2505] lr: 1.7000e-04 eta: 1 day, 14:11:44 time: 0.9948 data_time: 0.0293 memory: 32703 grad_norm: 32.0863 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7745 loss: 1.7745 2022/07/29 16:53:40 - mmengine - INFO - Epoch(train) [5][800/2505] lr: 1.7000e-04 eta: 1 day, 14:11:22 time: 1.0131 data_time: 0.0379 memory: 32703 grad_norm: 32.1897 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7201 loss: 1.7201 2022/07/29 16:53:59 - mmengine - INFO - Epoch(train) [5][820/2505] lr: 1.7000e-04 eta: 1 day, 14:10:45 time: 0.9580 data_time: 0.0446 memory: 32703 grad_norm: 31.6310 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7626 loss: 1.7626 2022/07/29 16:54:19 - mmengine - INFO - Epoch(train) [5][840/2505] lr: 1.7000e-04 eta: 1 day, 14:10:18 time: 0.9959 data_time: 0.0299 memory: 32703 grad_norm: 30.6883 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7655 loss: 1.7655 2022/07/29 16:54:38 - mmengine - INFO - Epoch(train) [5][860/2505] lr: 1.7000e-04 eta: 1 day, 14:09:45 time: 0.9711 data_time: 0.0286 memory: 32703 grad_norm: 32.1703 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9116 loss: 1.9116 2022/07/29 16:55:00 - mmengine - INFO - Epoch(train) [5][880/2505] lr: 1.7000e-04 eta: 1 day, 14:09:39 time: 1.0787 data_time: 0.0266 memory: 32703 grad_norm: 31.9696 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9393 loss: 1.9393 2022/07/29 16:55:18 - mmengine - INFO - Epoch(train) [5][900/2505] lr: 1.7000e-04 eta: 1 day, 14:08:54 time: 0.9243 data_time: 0.0280 memory: 32703 grad_norm: 32.6943 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8692 loss: 1.8692 2022/07/29 16:55:39 - mmengine - INFO - Epoch(train) [5][920/2505] lr: 1.7000e-04 eta: 1 day, 14:08:41 time: 1.0504 data_time: 0.0269 memory: 32703 grad_norm: 31.2707 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7981 loss: 1.7981 2022/07/29 16:55:58 - mmengine - INFO - Epoch(train) [5][940/2505] lr: 1.7000e-04 eta: 1 day, 14:08:00 time: 0.9381 data_time: 0.0264 memory: 32703 grad_norm: 30.8021 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9408 loss: 1.9408 2022/07/29 16:56:19 - mmengine - INFO - Epoch(train) [5][960/2505] lr: 1.7000e-04 eta: 1 day, 14:07:40 time: 1.0238 data_time: 0.0325 memory: 32703 grad_norm: 32.5740 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7316 loss: 1.7316 2022/07/29 16:56:38 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 16:56:38 - mmengine - INFO - Epoch(train) [5][980/2505] lr: 1.7000e-04 eta: 1 day, 14:07:08 time: 0.9761 data_time: 0.0271 memory: 32703 grad_norm: 30.4747 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8452 loss: 1.8452 2022/07/29 16:56:58 - mmengine - INFO - Epoch(train) [5][1000/2505] lr: 1.7000e-04 eta: 1 day, 14:06:40 time: 0.9929 data_time: 0.0341 memory: 32703 grad_norm: 31.7044 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8378 loss: 1.8378 2022/07/29 16:57:17 - mmengine - INFO - Epoch(train) [5][1020/2505] lr: 1.7000e-04 eta: 1 day, 14:06:02 time: 0.9470 data_time: 0.0295 memory: 32703 grad_norm: 31.6346 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8309 loss: 1.8309 2022/07/29 16:57:38 - mmengine - INFO - Epoch(train) [5][1040/2505] lr: 1.7000e-04 eta: 1 day, 14:05:42 time: 1.0253 data_time: 0.0282 memory: 32703 grad_norm: 32.2154 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0451 loss: 2.0451 2022/07/29 16:57:56 - mmengine - INFO - Epoch(train) [5][1060/2505] lr: 1.7000e-04 eta: 1 day, 14:04:58 time: 0.9228 data_time: 0.0286 memory: 32703 grad_norm: 31.0586 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7831 loss: 1.7831 2022/07/29 16:58:20 - mmengine - INFO - Epoch(train) [5][1080/2505] lr: 1.7000e-04 eta: 1 day, 14:05:20 time: 1.1989 data_time: 0.0448 memory: 32703 grad_norm: 31.2274 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0047 loss: 2.0047 2022/07/29 16:58:39 - mmengine - INFO - Epoch(train) [5][1100/2505] lr: 1.7000e-04 eta: 1 day, 14:04:42 time: 0.9479 data_time: 0.0486 memory: 32703 grad_norm: 31.2834 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5671 loss: 1.5671 2022/07/29 16:58:59 - mmengine - INFO - Epoch(train) [5][1120/2505] lr: 1.7000e-04 eta: 1 day, 14:04:16 time: 1.0006 data_time: 0.0295 memory: 32703 grad_norm: 31.2238 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.8709 loss: 1.8709 2022/07/29 16:59:18 - mmengine - INFO - Epoch(train) [5][1140/2505] lr: 1.7000e-04 eta: 1 day, 14:03:39 time: 0.9523 data_time: 0.0302 memory: 32703 grad_norm: 30.5401 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6124 loss: 1.6124 2022/07/29 16:59:38 - mmengine - INFO - Epoch(train) [5][1160/2505] lr: 1.7000e-04 eta: 1 day, 14:03:11 time: 0.9889 data_time: 0.0265 memory: 32703 grad_norm: 30.2953 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6861 loss: 1.6861 2022/07/29 16:59:57 - mmengine - INFO - Epoch(train) [5][1180/2505] lr: 1.7000e-04 eta: 1 day, 14:02:33 time: 0.9472 data_time: 0.0344 memory: 32703 grad_norm: 31.6517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9566 loss: 1.9566 2022/07/29 17:00:19 - mmengine - INFO - Epoch(train) [5][1200/2505] lr: 1.7000e-04 eta: 1 day, 14:02:37 time: 1.1233 data_time: 0.0350 memory: 32703 grad_norm: 31.9870 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.8228 loss: 1.8228 2022/07/29 17:00:37 - mmengine - INFO - Epoch(train) [5][1220/2505] lr: 1.7000e-04 eta: 1 day, 14:01:45 time: 0.8920 data_time: 0.0323 memory: 32703 grad_norm: 31.2110 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7496 loss: 1.7496 2022/07/29 17:00:59 - mmengine - INFO - Epoch(train) [5][1240/2505] lr: 1.7000e-04 eta: 1 day, 14:01:45 time: 1.1034 data_time: 0.0346 memory: 32703 grad_norm: 32.6951 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7327 loss: 1.7327 2022/07/29 17:01:15 - mmengine - INFO - Epoch(train) [5][1260/2505] lr: 1.7000e-04 eta: 1 day, 14:00:36 time: 0.8171 data_time: 0.0306 memory: 32703 grad_norm: 31.9676 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9876 loss: 1.9876 2022/07/29 17:01:37 - mmengine - INFO - Epoch(train) [5][1280/2505] lr: 1.7000e-04 eta: 1 day, 14:00:26 time: 1.0679 data_time: 0.0299 memory: 32703 grad_norm: 31.4476 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6722 loss: 1.6722 2022/07/29 17:01:54 - mmengine - INFO - Epoch(train) [5][1300/2505] lr: 1.7000e-04 eta: 1 day, 13:59:28 time: 0.8626 data_time: 0.0355 memory: 32703 grad_norm: 30.6374 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8345 loss: 1.8345 2022/07/29 17:02:17 - mmengine - INFO - Epoch(train) [5][1320/2505] lr: 1.7000e-04 eta: 1 day, 13:59:35 time: 1.1359 data_time: 0.0283 memory: 32703 grad_norm: 31.8648 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0234 loss: 2.0234 2022/07/29 17:02:33 - mmengine - INFO - Epoch(train) [5][1340/2505] lr: 1.7000e-04 eta: 1 day, 13:58:26 time: 0.8164 data_time: 0.0280 memory: 32703 grad_norm: 31.1760 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7017 loss: 1.7017 2022/07/29 17:02:54 - mmengine - INFO - Epoch(train) [5][1360/2505] lr: 1.7000e-04 eta: 1 day, 13:58:12 time: 1.0460 data_time: 0.0307 memory: 32703 grad_norm: 30.9545 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.0498 loss: 2.0498 2022/07/29 17:03:11 - mmengine - INFO - Epoch(train) [5][1380/2505] lr: 1.7000e-04 eta: 1 day, 13:57:17 time: 0.8747 data_time: 0.0338 memory: 32703 grad_norm: 30.3623 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8403 loss: 1.8403 2022/07/29 17:03:34 - mmengine - INFO - Epoch(train) [5][1400/2505] lr: 1.7000e-04 eta: 1 day, 13:57:18 time: 1.1089 data_time: 0.0284 memory: 32703 grad_norm: 31.6279 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6334 loss: 1.6334 2022/07/29 17:03:51 - mmengine - INFO - Epoch(train) [5][1420/2505] lr: 1.7000e-04 eta: 1 day, 13:56:22 time: 0.8687 data_time: 0.0301 memory: 32703 grad_norm: 30.9574 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9208 loss: 1.9208 2022/07/29 17:04:12 - mmengine - INFO - Epoch(train) [5][1440/2505] lr: 1.7000e-04 eta: 1 day, 13:56:10 time: 1.0596 data_time: 0.0298 memory: 32703 grad_norm: 31.5350 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.1093 loss: 2.1093 2022/07/29 17:04:31 - mmengine - INFO - Epoch(train) [5][1460/2505] lr: 1.7000e-04 eta: 1 day, 13:55:32 time: 0.9433 data_time: 0.0278 memory: 32703 grad_norm: 29.9257 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.6905 loss: 1.6905 2022/07/29 17:04:51 - mmengine - INFO - Epoch(train) [5][1480/2505] lr: 1.7000e-04 eta: 1 day, 13:55:10 time: 1.0161 data_time: 0.0393 memory: 32703 grad_norm: 30.7464 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8398 loss: 1.8398 2022/07/29 17:05:10 - mmengine - INFO - Epoch(train) [5][1500/2505] lr: 1.7000e-04 eta: 1 day, 13:54:29 time: 0.9298 data_time: 0.0414 memory: 32703 grad_norm: 30.9400 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6898 loss: 1.6898 2022/07/29 17:05:32 - mmengine - INFO - Epoch(train) [5][1520/2505] lr: 1.7000e-04 eta: 1 day, 13:54:28 time: 1.1033 data_time: 0.0322 memory: 32703 grad_norm: 31.1457 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5720 loss: 1.5720 2022/07/29 17:05:50 - mmengine - INFO - Epoch(train) [5][1540/2505] lr: 1.7000e-04 eta: 1 day, 13:53:43 time: 0.9129 data_time: 0.0277 memory: 32703 grad_norm: 32.2121 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0192 loss: 2.0192 2022/07/29 17:06:11 - mmengine - INFO - Epoch(train) [5][1560/2505] lr: 1.7000e-04 eta: 1 day, 13:53:20 time: 1.0083 data_time: 0.0332 memory: 32703 grad_norm: 30.0865 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9164 loss: 1.9164 2022/07/29 17:06:30 - mmengine - INFO - Epoch(train) [5][1580/2505] lr: 1.7000e-04 eta: 1 day, 13:52:48 time: 0.9717 data_time: 0.0292 memory: 32703 grad_norm: 30.4206 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 1.8791 loss: 1.8791 2022/07/29 17:06:49 - mmengine - INFO - Epoch(train) [5][1600/2505] lr: 1.7000e-04 eta: 1 day, 13:52:07 time: 0.9322 data_time: 0.0345 memory: 32703 grad_norm: 31.3520 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.9335 loss: 1.9335 2022/07/29 17:07:10 - mmengine - INFO - Epoch(train) [5][1620/2505] lr: 1.7000e-04 eta: 1 day, 13:51:54 time: 1.0507 data_time: 0.0301 memory: 32703 grad_norm: 31.8665 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8852 loss: 1.8852 2022/07/29 17:07:28 - mmengine - INFO - Epoch(train) [5][1640/2505] lr: 1.7000e-04 eta: 1 day, 13:51:05 time: 0.8963 data_time: 0.0294 memory: 32703 grad_norm: 30.8075 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.8479 loss: 1.8479 2022/07/29 17:07:48 - mmengine - INFO - Epoch(train) [5][1660/2505] lr: 1.7000e-04 eta: 1 day, 13:50:50 time: 1.0413 data_time: 0.0320 memory: 32703 grad_norm: 31.2444 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8176 loss: 1.8176 2022/07/29 17:08:06 - mmengine - INFO - Epoch(train) [5][1680/2505] lr: 1.7000e-04 eta: 1 day, 13:49:59 time: 0.8856 data_time: 0.0335 memory: 32703 grad_norm: 30.5051 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.6856 loss: 1.6856 2022/07/29 17:08:27 - mmengine - INFO - Epoch(train) [5][1700/2505] lr: 1.7000e-04 eta: 1 day, 13:49:40 time: 1.0247 data_time: 0.0338 memory: 32703 grad_norm: 32.2684 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9029 loss: 1.9029 2022/07/29 17:08:45 - mmengine - INFO - Epoch(train) [5][1720/2505] lr: 1.7000e-04 eta: 1 day, 13:48:58 time: 0.9270 data_time: 0.0275 memory: 32703 grad_norm: 31.8161 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.9940 loss: 1.9940 2022/07/29 17:09:06 - mmengine - INFO - Epoch(train) [5][1740/2505] lr: 1.7000e-04 eta: 1 day, 13:48:45 time: 1.0493 data_time: 0.0275 memory: 32703 grad_norm: 30.6551 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8755 loss: 1.8755 2022/07/29 17:09:24 - mmengine - INFO - Epoch(train) [5][1760/2505] lr: 1.7000e-04 eta: 1 day, 13:47:59 time: 0.9086 data_time: 0.0319 memory: 32703 grad_norm: 31.6179 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8178 loss: 1.8178 2022/07/29 17:09:46 - mmengine - INFO - Epoch(train) [5][1780/2505] lr: 1.7000e-04 eta: 1 day, 13:47:49 time: 1.0636 data_time: 0.0263 memory: 32703 grad_norm: 30.0614 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9610 loss: 1.9610 2022/07/29 17:10:05 - mmengine - INFO - Epoch(train) [5][1800/2505] lr: 1.7000e-04 eta: 1 day, 13:47:15 time: 0.9596 data_time: 0.0319 memory: 32703 grad_norm: 30.3801 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7169 loss: 1.7169 2022/07/29 17:10:25 - mmengine - INFO - Epoch(train) [5][1820/2505] lr: 1.7000e-04 eta: 1 day, 13:46:53 time: 1.0144 data_time: 0.0288 memory: 32703 grad_norm: 30.3758 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7374 loss: 1.7374 2022/07/29 17:10:45 - mmengine - INFO - Epoch(train) [5][1840/2505] lr: 1.7000e-04 eta: 1 day, 13:46:26 time: 0.9872 data_time: 0.0274 memory: 32703 grad_norm: 31.3014 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6365 loss: 1.6365 2022/07/29 17:11:04 - mmengine - INFO - Epoch(train) [5][1860/2505] lr: 1.7000e-04 eta: 1 day, 13:45:48 time: 0.9433 data_time: 0.0280 memory: 32703 grad_norm: 31.8232 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8851 loss: 1.8851 2022/07/29 17:11:23 - mmengine - INFO - Epoch(train) [5][1880/2505] lr: 1.7000e-04 eta: 1 day, 13:45:14 time: 0.9561 data_time: 0.0277 memory: 32703 grad_norm: 32.6505 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9641 loss: 1.9641 2022/07/29 17:11:43 - mmengine - INFO - Epoch(train) [5][1900/2505] lr: 1.7000e-04 eta: 1 day, 13:44:47 time: 0.9919 data_time: 0.0295 memory: 32703 grad_norm: 30.8312 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6465 loss: 1.6465 2022/07/29 17:12:01 - mmengine - INFO - Epoch(train) [5][1920/2505] lr: 1.7000e-04 eta: 1 day, 13:44:10 time: 0.9424 data_time: 0.0269 memory: 32703 grad_norm: 29.2724 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9122 loss: 1.9122 2022/07/29 17:12:24 - mmengine - INFO - Epoch(train) [5][1940/2505] lr: 1.7000e-04 eta: 1 day, 13:44:08 time: 1.1035 data_time: 0.0315 memory: 32703 grad_norm: 30.2732 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4084 loss: 1.4084 2022/07/29 17:12:42 - mmengine - INFO - Epoch(train) [5][1960/2505] lr: 1.7000e-04 eta: 1 day, 13:43:24 time: 0.9103 data_time: 0.0367 memory: 32703 grad_norm: 30.6143 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7724 loss: 1.7724 2022/07/29 17:13:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 17:13:02 - mmengine - INFO - Epoch(train) [5][1980/2505] lr: 1.7000e-04 eta: 1 day, 13:43:01 time: 1.0086 data_time: 0.0344 memory: 32703 grad_norm: 31.4838 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7618 loss: 1.7618 2022/07/29 17:13:22 - mmengine - INFO - Epoch(train) [5][2000/2505] lr: 1.7000e-04 eta: 1 day, 13:42:34 time: 0.9887 data_time: 0.0306 memory: 32703 grad_norm: 29.9916 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0356 loss: 2.0356 2022/07/29 17:13:41 - mmengine - INFO - Epoch(train) [5][2020/2505] lr: 1.7000e-04 eta: 1 day, 13:41:59 time: 0.9504 data_time: 0.0276 memory: 32703 grad_norm: 29.9020 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8431 loss: 1.8431 2022/07/29 17:14:02 - mmengine - INFO - Epoch(train) [5][2040/2505] lr: 1.7000e-04 eta: 1 day, 13:41:50 time: 1.0698 data_time: 0.0316 memory: 32703 grad_norm: 30.9558 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6806 loss: 1.6806 2022/07/29 17:14:21 - mmengine - INFO - Epoch(train) [5][2060/2505] lr: 1.7000e-04 eta: 1 day, 13:41:13 time: 0.9429 data_time: 0.0297 memory: 32703 grad_norm: 30.1979 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7604 loss: 1.7604 2022/07/29 17:14:41 - mmengine - INFO - Epoch(train) [5][2080/2505] lr: 1.7000e-04 eta: 1 day, 13:40:53 time: 1.0201 data_time: 0.0320 memory: 32703 grad_norm: 30.4143 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6902 loss: 1.6902 2022/07/29 17:15:00 - mmengine - INFO - Epoch(train) [5][2100/2505] lr: 1.7000e-04 eta: 1 day, 13:40:08 time: 0.9085 data_time: 0.0281 memory: 32703 grad_norm: 30.7515 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.1130 loss: 2.1130 2022/07/29 17:15:21 - mmengine - INFO - Epoch(train) [5][2120/2505] lr: 1.7000e-04 eta: 1 day, 13:40:01 time: 1.0774 data_time: 0.0517 memory: 32703 grad_norm: 30.6719 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7574 loss: 1.7574 2022/07/29 17:15:39 - mmengine - INFO - Epoch(train) [5][2140/2505] lr: 1.7000e-04 eta: 1 day, 13:39:16 time: 0.9071 data_time: 0.0304 memory: 32703 grad_norm: 30.3443 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6514 loss: 1.6514 2022/07/29 17:16:00 - mmengine - INFO - Epoch(train) [5][2160/2505] lr: 1.7000e-04 eta: 1 day, 13:39:03 time: 1.0535 data_time: 0.0309 memory: 32703 grad_norm: 30.1842 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9370 loss: 1.9370 2022/07/29 17:16:18 - mmengine - INFO - Epoch(train) [5][2180/2505] lr: 1.7000e-04 eta: 1 day, 13:38:08 time: 0.8576 data_time: 0.0258 memory: 32703 grad_norm: 31.2353 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7050 loss: 1.7050 2022/07/29 17:16:38 - mmengine - INFO - Epoch(train) [5][2200/2505] lr: 1.7000e-04 eta: 1 day, 13:37:52 time: 1.0400 data_time: 0.0398 memory: 32703 grad_norm: 30.6399 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8679 loss: 1.8679 2022/07/29 17:16:57 - mmengine - INFO - Epoch(train) [5][2220/2505] lr: 1.7000e-04 eta: 1 day, 13:37:15 time: 0.9408 data_time: 0.0328 memory: 32703 grad_norm: 30.6950 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8760 loss: 1.8760 2022/07/29 17:17:26 - mmengine - INFO - Epoch(train) [5][2240/2505] lr: 1.7000e-04 eta: 1 day, 13:38:26 time: 1.4363 data_time: 0.0269 memory: 32703 grad_norm: 30.3393 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8261 loss: 1.8261 2022/07/29 17:17:46 - mmengine - INFO - Epoch(train) [5][2260/2505] lr: 1.7000e-04 eta: 1 day, 13:38:05 time: 1.0187 data_time: 0.0415 memory: 32703 grad_norm: 30.2615 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0524 loss: 2.0524 2022/07/29 17:18:12 - mmengine - INFO - Epoch(train) [5][2280/2505] lr: 1.7000e-04 eta: 1 day, 13:38:44 time: 1.2940 data_time: 0.0390 memory: 32703 grad_norm: 29.9546 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5990 loss: 1.5990 2022/07/29 17:18:31 - mmengine - INFO - Epoch(train) [5][2300/2505] lr: 1.7000e-04 eta: 1 day, 13:38:11 time: 0.9568 data_time: 0.0433 memory: 32703 grad_norm: 29.5062 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5845 loss: 1.5845 2022/07/29 17:18:50 - mmengine - INFO - Epoch(train) [5][2320/2505] lr: 1.7000e-04 eta: 1 day, 13:37:33 time: 0.9381 data_time: 0.0315 memory: 32703 grad_norm: 30.3451 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9194 loss: 1.9194 2022/07/29 17:19:11 - mmengine - INFO - Epoch(train) [5][2340/2505] lr: 1.7000e-04 eta: 1 day, 13:37:16 time: 1.0368 data_time: 0.0293 memory: 32703 grad_norm: 29.1918 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8073 loss: 1.8073 2022/07/29 17:19:29 - mmengine - INFO - Epoch(train) [5][2360/2505] lr: 1.7000e-04 eta: 1 day, 13:36:32 time: 0.9097 data_time: 0.0331 memory: 32703 grad_norm: 30.8387 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8009 loss: 1.8009 2022/07/29 17:19:49 - mmengine - INFO - Epoch(train) [5][2380/2505] lr: 1.7000e-04 eta: 1 day, 13:36:09 time: 1.0019 data_time: 0.0312 memory: 32703 grad_norm: 30.3639 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6617 loss: 1.6617 2022/07/29 17:20:07 - mmengine - INFO - Epoch(train) [5][2400/2505] lr: 1.7000e-04 eta: 1 day, 13:35:28 time: 0.9252 data_time: 0.0266 memory: 32703 grad_norm: 30.5772 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6592 loss: 1.6592 2022/07/29 17:20:29 - mmengine - INFO - Epoch(train) [5][2420/2505] lr: 1.7000e-04 eta: 1 day, 13:35:24 time: 1.0963 data_time: 0.0300 memory: 32703 grad_norm: 30.5185 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8895 loss: 1.8895 2022/07/29 17:20:47 - mmengine - INFO - Epoch(train) [5][2440/2505] lr: 1.7000e-04 eta: 1 day, 13:34:31 time: 0.8616 data_time: 0.0274 memory: 32703 grad_norm: 30.3929 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7385 loss: 1.7385 2022/07/29 17:21:10 - mmengine - INFO - Epoch(train) [5][2460/2505] lr: 1.7000e-04 eta: 1 day, 13:34:45 time: 1.1809 data_time: 0.0396 memory: 32703 grad_norm: 29.7660 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6729 loss: 1.6729 2022/07/29 17:21:27 - mmengine - INFO - Epoch(train) [5][2480/2505] lr: 1.7000e-04 eta: 1 day, 13:33:45 time: 0.8347 data_time: 0.0279 memory: 32703 grad_norm: 29.3578 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9230 loss: 1.9230 2022/07/29 17:21:45 - mmengine - INFO - Epoch(train) [5][2500/2505] lr: 1.7000e-04 eta: 1 day, 13:32:56 time: 0.8818 data_time: 0.0328 memory: 32703 grad_norm: 30.3219 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6822 loss: 1.6822 2022/07/29 17:21:48 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 17:21:48 - mmengine - INFO - Epoch(train) [5][2505/2505] lr: 1.7000e-04 eta: 1 day, 13:32:56 time: 0.7936 data_time: 0.0261 memory: 32703 grad_norm: 29.8515 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.6065 loss: 1.6065 2022/07/29 17:22:19 - mmengine - INFO - Epoch(train) [6][20/2505] lr: 2.0000e-04 eta: 1 day, 13:33:25 time: 1.5308 data_time: 0.7178 memory: 32703 grad_norm: 29.3011 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9745 loss: 1.9745 2022/07/29 17:22:37 - mmengine - INFO - Epoch(train) [6][40/2505] lr: 2.0000e-04 eta: 1 day, 13:32:37 time: 0.8893 data_time: 0.0330 memory: 32703 grad_norm: 30.5168 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7337 loss: 1.7337 2022/07/29 17:22:58 - mmengine - INFO - Epoch(train) [6][60/2505] lr: 2.0000e-04 eta: 1 day, 13:32:27 time: 1.0646 data_time: 0.0765 memory: 32703 grad_norm: 29.4089 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8715 loss: 1.8715 2022/07/29 17:23:15 - mmengine - INFO - Epoch(train) [6][80/2505] lr: 2.0000e-04 eta: 1 day, 13:31:34 time: 0.8627 data_time: 0.0484 memory: 32703 grad_norm: 30.2460 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0161 loss: 2.0161 2022/07/29 17:23:37 - mmengine - INFO - Epoch(train) [6][100/2505] lr: 2.0000e-04 eta: 1 day, 13:31:24 time: 1.0690 data_time: 0.1482 memory: 32703 grad_norm: 30.9206 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9097 loss: 1.9097 2022/07/29 17:23:55 - mmengine - INFO - Epoch(train) [6][120/2505] lr: 2.0000e-04 eta: 1 day, 13:30:47 time: 0.9366 data_time: 0.0678 memory: 32703 grad_norm: 30.0456 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.9091 loss: 1.9091 2022/07/29 17:24:16 - mmengine - INFO - Epoch(train) [6][140/2505] lr: 2.0000e-04 eta: 1 day, 13:30:27 time: 1.0203 data_time: 0.0280 memory: 32703 grad_norm: 30.5729 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8697 loss: 1.8697 2022/07/29 17:24:36 - mmengine - INFO - Epoch(train) [6][160/2505] lr: 2.0000e-04 eta: 1 day, 13:30:01 time: 0.9944 data_time: 0.0837 memory: 32703 grad_norm: 31.3356 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7693 loss: 1.7693 2022/07/29 17:24:59 - mmengine - INFO - Epoch(train) [6][180/2505] lr: 2.0000e-04 eta: 1 day, 13:30:08 time: 1.1474 data_time: 0.0691 memory: 32703 grad_norm: 30.4360 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6869 loss: 1.6869 2022/07/29 17:25:17 - mmengine - INFO - Epoch(train) [6][200/2505] lr: 2.0000e-04 eta: 1 day, 13:29:26 time: 0.9170 data_time: 0.0283 memory: 32703 grad_norm: 30.8961 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7934 loss: 1.7934 2022/07/29 17:25:39 - mmengine - INFO - Epoch(train) [6][220/2505] lr: 2.0000e-04 eta: 1 day, 13:29:23 time: 1.0976 data_time: 0.0346 memory: 32703 grad_norm: 31.3326 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8590 loss: 1.8590 2022/07/29 17:25:58 - mmengine - INFO - Epoch(train) [6][240/2505] lr: 2.0000e-04 eta: 1 day, 13:28:52 time: 0.9674 data_time: 0.0406 memory: 32703 grad_norm: 29.8580 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8923 loss: 1.8923 2022/07/29 17:26:17 - mmengine - INFO - Epoch(train) [6][260/2505] lr: 2.0000e-04 eta: 1 day, 13:28:14 time: 0.9344 data_time: 0.0347 memory: 32703 grad_norm: 29.1688 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9500 loss: 1.9500 2022/07/29 17:26:37 - mmengine - INFO - Epoch(train) [6][280/2505] lr: 2.0000e-04 eta: 1 day, 13:27:51 time: 1.0040 data_time: 0.0274 memory: 32703 grad_norm: 30.2683 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5661 loss: 1.5661 2022/07/29 17:26:57 - mmengine - INFO - Epoch(train) [6][300/2505] lr: 2.0000e-04 eta: 1 day, 13:27:25 time: 0.9937 data_time: 0.0339 memory: 32703 grad_norm: 30.9324 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6989 loss: 1.6989 2022/07/29 17:27:19 - mmengine - INFO - Epoch(train) [6][320/2505] lr: 2.0000e-04 eta: 1 day, 13:27:21 time: 1.0967 data_time: 0.0281 memory: 32703 grad_norm: 31.2543 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8716 loss: 1.8716 2022/07/29 17:27:37 - mmengine - INFO - Epoch(train) [6][340/2505] lr: 2.0000e-04 eta: 1 day, 13:26:35 time: 0.8921 data_time: 0.0381 memory: 32703 grad_norm: 29.3821 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9359 loss: 1.9359 2022/07/29 17:27:58 - mmengine - INFO - Epoch(train) [6][360/2505] lr: 2.0000e-04 eta: 1 day, 13:26:27 time: 1.0804 data_time: 0.0269 memory: 32703 grad_norm: 29.9021 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8225 loss: 1.8225 2022/07/29 17:28:16 - mmengine - INFO - Epoch(train) [6][380/2505] lr: 2.0000e-04 eta: 1 day, 13:25:35 time: 0.8604 data_time: 0.0277 memory: 32703 grad_norm: 30.7000 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7154 loss: 1.7154 2022/07/29 17:28:37 - mmengine - INFO - Epoch(train) [6][400/2505] lr: 2.0000e-04 eta: 1 day, 13:25:24 time: 1.0646 data_time: 0.0256 memory: 32703 grad_norm: 30.5321 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7303 loss: 1.7303 2022/07/29 17:28:56 - mmengine - INFO - Epoch(train) [6][420/2505] lr: 2.0000e-04 eta: 1 day, 13:24:55 time: 0.9778 data_time: 0.0282 memory: 32703 grad_norm: 30.8961 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.1603 loss: 2.1603 2022/07/29 17:29:17 - mmengine - INFO - Epoch(train) [6][440/2505] lr: 2.0000e-04 eta: 1 day, 13:24:39 time: 1.0374 data_time: 0.0265 memory: 32703 grad_norm: 29.7178 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7509 loss: 1.7509 2022/07/29 17:29:36 - mmengine - INFO - Epoch(train) [6][460/2505] lr: 2.0000e-04 eta: 1 day, 13:24:02 time: 0.9335 data_time: 0.0272 memory: 32703 grad_norm: 30.2377 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7132 loss: 1.7132 2022/07/29 17:29:51 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 17:29:56 - mmengine - INFO - Epoch(train) [6][480/2505] lr: 2.0000e-04 eta: 1 day, 13:23:43 time: 1.0289 data_time: 0.0323 memory: 32703 grad_norm: 29.4292 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6952 loss: 1.6952 2022/07/29 17:30:15 - mmengine - INFO - Epoch(train) [6][500/2505] lr: 2.0000e-04 eta: 1 day, 13:23:06 time: 0.9343 data_time: 0.0262 memory: 32703 grad_norm: 30.1920 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7992 loss: 1.7992 2022/07/29 17:30:35 - mmengine - INFO - Epoch(train) [6][520/2505] lr: 2.0000e-04 eta: 1 day, 13:22:45 time: 1.0147 data_time: 0.0421 memory: 32703 grad_norm: 28.0867 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6842 loss: 1.6842 2022/07/29 17:30:55 - mmengine - INFO - Epoch(train) [6][540/2505] lr: 2.0000e-04 eta: 1 day, 13:22:15 time: 0.9669 data_time: 0.0291 memory: 32703 grad_norm: 30.3875 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8442 loss: 1.8442 2022/07/29 17:31:16 - mmengine - INFO - Epoch(train) [6][560/2505] lr: 2.0000e-04 eta: 1 day, 13:22:06 time: 1.0754 data_time: 0.0275 memory: 32703 grad_norm: 29.4147 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9569 loss: 1.9569 2022/07/29 17:31:34 - mmengine - INFO - Epoch(train) [6][580/2505] lr: 2.0000e-04 eta: 1 day, 13:21:21 time: 0.8978 data_time: 0.0270 memory: 32703 grad_norm: 30.5233 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.0463 loss: 2.0463 2022/07/29 17:31:55 - mmengine - INFO - Epoch(train) [6][600/2505] lr: 2.0000e-04 eta: 1 day, 13:21:06 time: 1.0424 data_time: 0.0273 memory: 32703 grad_norm: 28.5949 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9409 loss: 1.9409 2022/07/29 17:32:14 - mmengine - INFO - Epoch(train) [6][620/2505] lr: 2.0000e-04 eta: 1 day, 13:20:33 time: 0.9538 data_time: 0.0304 memory: 32703 grad_norm: 30.6233 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9400 loss: 1.9400 2022/07/29 17:32:35 - mmengine - INFO - Epoch(train) [6][640/2505] lr: 2.0000e-04 eta: 1 day, 13:20:18 time: 1.0426 data_time: 0.0276 memory: 32703 grad_norm: 30.2889 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7500 loss: 1.7500 2022/07/29 17:32:54 - mmengine - INFO - Epoch(train) [6][660/2505] lr: 2.0000e-04 eta: 1 day, 13:19:42 time: 0.9381 data_time: 0.0277 memory: 32703 grad_norm: 28.9407 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8802 loss: 1.8802 2022/07/29 17:33:14 - mmengine - INFO - Epoch(train) [6][680/2505] lr: 2.0000e-04 eta: 1 day, 13:19:20 time: 1.0132 data_time: 0.0287 memory: 32703 grad_norm: 28.7990 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9162 loss: 1.9162 2022/07/29 17:33:33 - mmengine - INFO - Epoch(train) [6][700/2505] lr: 2.0000e-04 eta: 1 day, 13:18:45 time: 0.9409 data_time: 0.0290 memory: 32703 grad_norm: 30.0619 top1_acc: 0.1667 top5_acc: 0.5833 loss_cls: 1.7540 loss: 1.7540 2022/07/29 17:33:54 - mmengine - INFO - Epoch(train) [6][720/2505] lr: 2.0000e-04 eta: 1 day, 13:18:34 time: 1.0665 data_time: 0.0297 memory: 32703 grad_norm: 29.7289 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7252 loss: 1.7252 2022/07/29 17:34:12 - mmengine - INFO - Epoch(train) [6][740/2505] lr: 2.0000e-04 eta: 1 day, 13:17:49 time: 0.8922 data_time: 0.0281 memory: 32703 grad_norm: 29.6091 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8577 loss: 1.8577 2022/07/29 17:34:32 - mmengine - INFO - Epoch(train) [6][760/2505] lr: 2.0000e-04 eta: 1 day, 13:17:29 time: 1.0204 data_time: 0.0286 memory: 32703 grad_norm: 29.3143 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1012 loss: 2.1012 2022/07/29 17:34:51 - mmengine - INFO - Epoch(train) [6][780/2505] lr: 2.0000e-04 eta: 1 day, 13:16:51 time: 0.9280 data_time: 0.0267 memory: 32703 grad_norm: 30.3633 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6724 loss: 1.6724 2022/07/29 17:35:13 - mmengine - INFO - Epoch(train) [6][800/2505] lr: 2.0000e-04 eta: 1 day, 13:16:46 time: 1.0901 data_time: 0.0338 memory: 32703 grad_norm: 30.0520 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6781 loss: 1.6781 2022/07/29 17:35:32 - mmengine - INFO - Epoch(train) [6][820/2505] lr: 2.0000e-04 eta: 1 day, 13:16:12 time: 0.9519 data_time: 0.0285 memory: 32703 grad_norm: 29.7188 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9839 loss: 1.9839 2022/07/29 17:35:51 - mmengine - INFO - Epoch(train) [6][840/2505] lr: 2.0000e-04 eta: 1 day, 13:15:42 time: 0.9644 data_time: 0.0718 memory: 32703 grad_norm: 30.4144 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.1878 loss: 2.1878 2022/07/29 17:36:08 - mmengine - INFO - Epoch(train) [6][860/2505] lr: 2.0000e-04 eta: 1 day, 13:14:49 time: 0.8511 data_time: 0.0273 memory: 32703 grad_norm: 30.4855 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9251 loss: 1.9251 2022/07/29 17:36:30 - mmengine - INFO - Epoch(train) [6][880/2505] lr: 2.0000e-04 eta: 1 day, 13:14:42 time: 1.0849 data_time: 0.0468 memory: 32703 grad_norm: 29.9496 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7501 loss: 1.7501 2022/07/29 17:36:48 - mmengine - INFO - Epoch(train) [6][900/2505] lr: 2.0000e-04 eta: 1 day, 13:13:56 time: 0.8893 data_time: 0.0280 memory: 32703 grad_norm: 31.1348 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7982 loss: 1.7982 2022/07/29 17:37:08 - mmengine - INFO - Epoch(train) [6][920/2505] lr: 2.0000e-04 eta: 1 day, 13:13:32 time: 0.9973 data_time: 0.0776 memory: 32703 grad_norm: 31.0404 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6382 loss: 1.6382 2022/07/29 17:37:27 - mmengine - INFO - Epoch(train) [6][940/2505] lr: 2.0000e-04 eta: 1 day, 13:13:06 time: 0.9871 data_time: 0.0372 memory: 32703 grad_norm: 29.3789 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9613 loss: 1.9613 2022/07/29 17:37:47 - mmengine - INFO - Epoch(train) [6][960/2505] lr: 2.0000e-04 eta: 1 day, 13:12:43 time: 1.0028 data_time: 0.0274 memory: 32703 grad_norm: 28.7397 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7634 loss: 1.7634 2022/07/29 17:38:06 - mmengine - INFO - Epoch(train) [6][980/2505] lr: 2.0000e-04 eta: 1 day, 13:12:03 time: 0.9146 data_time: 0.0848 memory: 32703 grad_norm: 29.1192 top1_acc: 0.1667 top5_acc: 0.6667 loss_cls: 1.6745 loss: 1.6745 2022/07/29 17:38:27 - mmengine - INFO - Epoch(train) [6][1000/2505] lr: 2.0000e-04 eta: 1 day, 13:11:54 time: 1.0733 data_time: 0.0270 memory: 32703 grad_norm: 30.1656 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1162 loss: 2.1162 2022/07/29 17:38:46 - mmengine - INFO - Epoch(train) [6][1020/2505] lr: 2.0000e-04 eta: 1 day, 13:11:21 time: 0.9541 data_time: 0.0352 memory: 32703 grad_norm: 29.1730 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8251 loss: 1.8251 2022/07/29 17:39:08 - mmengine - INFO - Epoch(train) [6][1040/2505] lr: 2.0000e-04 eta: 1 day, 13:11:19 time: 1.1099 data_time: 0.0321 memory: 32703 grad_norm: 30.0673 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9980 loss: 1.9980 2022/07/29 17:39:27 - mmengine - INFO - Epoch(train) [6][1060/2505] lr: 2.0000e-04 eta: 1 day, 13:10:40 time: 0.9170 data_time: 0.0350 memory: 32703 grad_norm: 30.4920 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6217 loss: 1.6217 2022/07/29 17:39:48 - mmengine - INFO - Epoch(train) [6][1080/2505] lr: 2.0000e-04 eta: 1 day, 13:10:27 time: 1.0578 data_time: 0.0349 memory: 32703 grad_norm: 31.0666 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9224 loss: 1.9224 2022/07/29 17:40:06 - mmengine - INFO - Epoch(train) [6][1100/2505] lr: 2.0000e-04 eta: 1 day, 13:09:47 time: 0.9134 data_time: 0.0288 memory: 32703 grad_norm: 30.0877 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0255 loss: 2.0255 2022/07/29 17:40:28 - mmengine - INFO - Epoch(train) [6][1120/2505] lr: 2.0000e-04 eta: 1 day, 13:09:41 time: 1.0902 data_time: 0.0291 memory: 32703 grad_norm: 29.3812 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6054 loss: 1.6054 2022/07/29 17:40:52 - mmengine - INFO - Epoch(train) [6][1140/2505] lr: 2.0000e-04 eta: 1 day, 13:09:53 time: 1.1807 data_time: 0.0615 memory: 32703 grad_norm: 29.6766 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9965 loss: 1.9965 2022/07/29 17:41:15 - mmengine - INFO - Epoch(train) [6][1160/2505] lr: 2.0000e-04 eta: 1 day, 13:09:58 time: 1.1506 data_time: 0.5375 memory: 32703 grad_norm: 28.3156 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7650 loss: 1.7650 2022/07/29 17:41:35 - mmengine - INFO - Epoch(train) [6][1180/2505] lr: 2.0000e-04 eta: 1 day, 13:09:37 time: 1.0152 data_time: 0.2427 memory: 32703 grad_norm: 28.8838 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6848 loss: 1.6848 2022/07/29 17:41:54 - mmengine - INFO - Epoch(train) [6][1200/2505] lr: 2.0000e-04 eta: 1 day, 13:09:01 time: 0.9312 data_time: 0.0466 memory: 32703 grad_norm: 29.7878 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7764 loss: 1.7764 2022/07/29 17:42:15 - mmengine - INFO - Epoch(train) [6][1220/2505] lr: 2.0000e-04 eta: 1 day, 13:08:46 time: 1.0479 data_time: 0.0333 memory: 32703 grad_norm: 30.3040 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7805 loss: 1.7805 2022/07/29 17:42:32 - mmengine - INFO - Epoch(train) [6][1240/2505] lr: 2.0000e-04 eta: 1 day, 13:08:01 time: 0.8861 data_time: 0.0327 memory: 32703 grad_norm: 30.0440 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7243 loss: 1.7243 2022/07/29 17:42:53 - mmengine - INFO - Epoch(train) [6][1260/2505] lr: 2.0000e-04 eta: 1 day, 13:07:42 time: 1.0240 data_time: 0.0272 memory: 32703 grad_norm: 29.3991 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4612 loss: 1.4612 2022/07/29 17:43:13 - mmengine - INFO - Epoch(train) [6][1280/2505] lr: 2.0000e-04 eta: 1 day, 13:07:21 time: 1.0098 data_time: 0.0308 memory: 32703 grad_norm: 29.0609 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.0160 loss: 2.0160 2022/07/29 17:43:34 - mmengine - INFO - Epoch(train) [6][1300/2505] lr: 2.0000e-04 eta: 1 day, 13:07:06 time: 1.0467 data_time: 0.0295 memory: 32703 grad_norm: 28.4451 top1_acc: 0.4167 top5_acc: 1.0000 loss_cls: 1.6036 loss: 1.6036 2022/07/29 17:43:52 - mmengine - INFO - Epoch(train) [6][1320/2505] lr: 2.0000e-04 eta: 1 day, 13:06:27 time: 0.9161 data_time: 0.0294 memory: 32703 grad_norm: 29.8227 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7655 loss: 1.7655 2022/07/29 17:44:12 - mmengine - INFO - Epoch(train) [6][1340/2505] lr: 2.0000e-04 eta: 1 day, 13:06:05 time: 1.0094 data_time: 0.0264 memory: 32703 grad_norm: 29.9520 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6261 loss: 1.6261 2022/07/29 17:44:31 - mmengine - INFO - Epoch(train) [6][1360/2505] lr: 2.0000e-04 eta: 1 day, 13:05:26 time: 0.9148 data_time: 0.0289 memory: 32703 grad_norm: 28.0518 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7845 loss: 1.7845 2022/07/29 17:44:52 - mmengine - INFO - Epoch(train) [6][1380/2505] lr: 2.0000e-04 eta: 1 day, 13:05:16 time: 1.0726 data_time: 0.0279 memory: 32703 grad_norm: 30.1869 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6408 loss: 1.6408 2022/07/29 17:45:10 - mmengine - INFO - Epoch(train) [6][1400/2505] lr: 2.0000e-04 eta: 1 day, 13:04:29 time: 0.8776 data_time: 0.0297 memory: 32703 grad_norm: 27.9488 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7762 loss: 1.7762 2022/07/29 17:45:28 - mmengine - INFO - Epoch(train) [6][1420/2505] lr: 2.0000e-04 eta: 1 day, 13:03:49 time: 0.9107 data_time: 0.0266 memory: 32703 grad_norm: 30.3332 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8488 loss: 1.8488 2022/07/29 17:45:48 - mmengine - INFO - Epoch(train) [6][1440/2505] lr: 2.0000e-04 eta: 1 day, 13:03:23 time: 0.9825 data_time: 0.0271 memory: 32703 grad_norm: 29.4934 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7226 loss: 1.7226 2022/07/29 17:46:16 - mmengine - INFO - Epoch(train) [6][1460/2505] lr: 2.0000e-04 eta: 1 day, 13:04:17 time: 1.4145 data_time: 0.0341 memory: 32703 grad_norm: 29.1648 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5948 loss: 1.5948 2022/07/29 17:46:25 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 17:46:28 - mmengine - INFO - Epoch(train) [6][1480/2505] lr: 2.0000e-04 eta: 1 day, 13:02:44 time: 0.6277 data_time: 0.0279 memory: 32703 grad_norm: 29.4249 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8827 loss: 1.8827 2022/07/29 17:46:50 - mmengine - INFO - Epoch(train) [6][1500/2505] lr: 2.0000e-04 eta: 1 day, 13:02:39 time: 1.0994 data_time: 0.0268 memory: 32703 grad_norm: 28.4571 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6825 loss: 1.6825 2022/07/29 17:47:08 - mmengine - INFO - Epoch(train) [6][1520/2505] lr: 2.0000e-04 eta: 1 day, 13:01:54 time: 0.8833 data_time: 0.0272 memory: 32703 grad_norm: 29.4376 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8086 loss: 1.8086 2022/07/29 17:47:30 - mmengine - INFO - Epoch(train) [6][1540/2505] lr: 2.0000e-04 eta: 1 day, 13:01:47 time: 1.0869 data_time: 0.0258 memory: 32703 grad_norm: 30.4763 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7965 loss: 1.7965 2022/07/29 17:47:52 - mmengine - INFO - Epoch(train) [6][1560/2505] lr: 2.0000e-04 eta: 1 day, 13:01:41 time: 1.0902 data_time: 0.0284 memory: 32703 grad_norm: 28.8443 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8934 loss: 1.8934 2022/07/29 17:48:12 - mmengine - INFO - Epoch(train) [6][1580/2505] lr: 2.0000e-04 eta: 1 day, 13:01:24 time: 1.0336 data_time: 0.0750 memory: 32703 grad_norm: 29.0549 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6543 loss: 1.6543 2022/07/29 17:48:30 - mmengine - INFO - Epoch(train) [6][1600/2505] lr: 2.0000e-04 eta: 1 day, 13:00:39 time: 0.8871 data_time: 0.0284 memory: 32703 grad_norm: 30.0246 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6073 loss: 1.6073 2022/07/29 17:48:51 - mmengine - INFO - Epoch(train) [6][1620/2505] lr: 2.0000e-04 eta: 1 day, 13:00:27 time: 1.0558 data_time: 0.0270 memory: 32703 grad_norm: 28.6374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7377 loss: 1.7377 2022/07/29 17:49:08 - mmengine - INFO - Epoch(train) [6][1640/2505] lr: 2.0000e-04 eta: 1 day, 12:59:37 time: 0.8580 data_time: 0.0293 memory: 32703 grad_norm: 28.1378 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6505 loss: 1.6505 2022/07/29 17:49:31 - mmengine - INFO - Epoch(train) [6][1660/2505] lr: 2.0000e-04 eta: 1 day, 12:59:42 time: 1.1515 data_time: 0.0269 memory: 32703 grad_norm: 29.1424 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8132 loss: 1.8132 2022/07/29 17:49:48 - mmengine - INFO - Epoch(train) [6][1680/2505] lr: 2.0000e-04 eta: 1 day, 12:58:52 time: 0.8559 data_time: 0.0276 memory: 32703 grad_norm: 30.0303 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5974 loss: 1.5974 2022/07/29 17:50:10 - mmengine - INFO - Epoch(train) [6][1700/2505] lr: 2.0000e-04 eta: 1 day, 12:58:43 time: 1.0783 data_time: 0.0411 memory: 32703 grad_norm: 29.1474 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7230 loss: 1.7230 2022/07/29 17:50:28 - mmengine - INFO - Epoch(train) [6][1720/2505] lr: 2.0000e-04 eta: 1 day, 12:57:58 time: 0.8824 data_time: 0.0288 memory: 32703 grad_norm: 30.3678 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.9964 loss: 1.9964 2022/07/29 17:50:49 - mmengine - INFO - Epoch(train) [6][1740/2505] lr: 2.0000e-04 eta: 1 day, 12:57:43 time: 1.0433 data_time: 0.0261 memory: 32703 grad_norm: 27.3955 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8888 loss: 1.8888 2022/07/29 17:51:07 - mmengine - INFO - Epoch(train) [6][1760/2505] lr: 2.0000e-04 eta: 1 day, 12:57:08 time: 0.9346 data_time: 0.0274 memory: 32703 grad_norm: 28.9059 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6534 loss: 1.6534 2022/07/29 17:51:29 - mmengine - INFO - Epoch(train) [6][1780/2505] lr: 2.0000e-04 eta: 1 day, 12:56:56 time: 1.0604 data_time: 0.0317 memory: 32703 grad_norm: 29.1895 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7985 loss: 1.7985 2022/07/29 17:51:47 - mmengine - INFO - Epoch(train) [6][1800/2505] lr: 2.0000e-04 eta: 1 day, 12:56:17 time: 0.9139 data_time: 0.0311 memory: 32703 grad_norm: 29.2552 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9150 loss: 1.9150 2022/07/29 17:52:09 - mmengine - INFO - Epoch(train) [6][1820/2505] lr: 2.0000e-04 eta: 1 day, 12:56:14 time: 1.1082 data_time: 0.0288 memory: 32703 grad_norm: 29.2703 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9639 loss: 1.9639 2022/07/29 17:52:27 - mmengine - INFO - Epoch(train) [6][1840/2505] lr: 2.0000e-04 eta: 1 day, 12:55:35 time: 0.9164 data_time: 0.0289 memory: 32703 grad_norm: 28.8654 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8268 loss: 1.8268 2022/07/29 17:52:50 - mmengine - INFO - Epoch(train) [6][1860/2505] lr: 2.0000e-04 eta: 1 day, 12:55:36 time: 1.1296 data_time: 0.0428 memory: 32703 grad_norm: 29.1517 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5295 loss: 1.5295 2022/07/29 17:53:08 - mmengine - INFO - Epoch(train) [6][1880/2505] lr: 2.0000e-04 eta: 1 day, 12:54:54 time: 0.8994 data_time: 0.1254 memory: 32703 grad_norm: 29.6260 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6093 loss: 1.6093 2022/07/29 17:53:28 - mmengine - INFO - Epoch(train) [6][1900/2505] lr: 2.0000e-04 eta: 1 day, 12:54:31 time: 0.9983 data_time: 0.0632 memory: 32703 grad_norm: 27.9925 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7697 loss: 1.7697 2022/07/29 17:53:48 - mmengine - INFO - Epoch(train) [6][1920/2505] lr: 2.0000e-04 eta: 1 day, 12:54:12 time: 1.0243 data_time: 0.2956 memory: 32703 grad_norm: 28.6607 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7028 loss: 1.7028 2022/07/29 17:54:12 - mmengine - INFO - Epoch(train) [6][1940/2505] lr: 2.0000e-04 eta: 1 day, 12:54:23 time: 1.1853 data_time: 0.4001 memory: 32703 grad_norm: 29.2092 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0730 loss: 2.0730 2022/07/29 17:54:41 - mmengine - INFO - Epoch(train) [6][1960/2505] lr: 2.0000e-04 eta: 1 day, 12:55:22 time: 1.4555 data_time: 0.0298 memory: 32703 grad_norm: 29.0107 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6746 loss: 1.6746 2022/07/29 17:54:56 - mmengine - INFO - Epoch(train) [6][1980/2505] lr: 2.0000e-04 eta: 1 day, 12:54:17 time: 0.7697 data_time: 0.0295 memory: 32703 grad_norm: 28.7630 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7813 loss: 1.7813 2022/07/29 17:55:19 - mmengine - INFO - Epoch(train) [6][2000/2505] lr: 2.0000e-04 eta: 1 day, 12:54:20 time: 1.1471 data_time: 0.3478 memory: 32703 grad_norm: 28.9776 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7124 loss: 1.7124 2022/07/29 17:55:40 - mmengine - INFO - Epoch(train) [6][2020/2505] lr: 2.0000e-04 eta: 1 day, 12:54:00 time: 1.0135 data_time: 0.2121 memory: 32703 grad_norm: 29.1963 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4229 loss: 1.4229 2022/07/29 17:56:00 - mmengine - INFO - Epoch(train) [6][2040/2505] lr: 2.0000e-04 eta: 1 day, 12:53:43 time: 1.0346 data_time: 0.0727 memory: 32703 grad_norm: 28.2481 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9313 loss: 1.9313 2022/07/29 17:56:23 - mmengine - INFO - Epoch(train) [6][2060/2505] lr: 2.0000e-04 eta: 1 day, 12:53:41 time: 1.1192 data_time: 0.0594 memory: 32703 grad_norm: 28.9882 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8496 loss: 1.8496 2022/07/29 17:56:47 - mmengine - INFO - Epoch(train) [6][2080/2505] lr: 2.0000e-04 eta: 1 day, 12:53:57 time: 1.2198 data_time: 0.1890 memory: 32703 grad_norm: 27.9420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8218 loss: 1.8218 2022/07/29 17:57:05 - mmengine - INFO - Epoch(train) [6][2100/2505] lr: 2.0000e-04 eta: 1 day, 12:53:15 time: 0.8934 data_time: 0.0310 memory: 32703 grad_norm: 29.4433 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7903 loss: 1.7903 2022/07/29 17:57:27 - mmengine - INFO - Epoch(train) [6][2120/2505] lr: 2.0000e-04 eta: 1 day, 12:53:07 time: 1.0875 data_time: 0.0272 memory: 32703 grad_norm: 30.5658 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8450 loss: 1.8450 2022/07/29 17:57:46 - mmengine - INFO - Epoch(train) [6][2140/2505] lr: 2.0000e-04 eta: 1 day, 12:52:36 time: 0.9594 data_time: 0.0869 memory: 32703 grad_norm: 28.0379 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7970 loss: 1.7970 2022/07/29 17:58:09 - mmengine - INFO - Epoch(train) [6][2160/2505] lr: 2.0000e-04 eta: 1 day, 12:52:41 time: 1.1554 data_time: 0.1028 memory: 32703 grad_norm: 28.2269 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7798 loss: 1.7798 2022/07/29 17:58:30 - mmengine - INFO - Epoch(train) [6][2180/2505] lr: 2.0000e-04 eta: 1 day, 12:52:22 time: 1.0257 data_time: 0.3506 memory: 32703 grad_norm: 27.8902 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6391 loss: 1.6391 2022/07/29 17:58:54 - mmengine - INFO - Epoch(train) [6][2200/2505] lr: 2.0000e-04 eta: 1 day, 12:52:34 time: 1.1954 data_time: 0.3348 memory: 32703 grad_norm: 29.1911 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7119 loss: 1.7119 2022/07/29 17:59:11 - mmengine - INFO - Epoch(train) [6][2220/2505] lr: 2.0000e-04 eta: 1 day, 12:51:47 time: 0.8705 data_time: 0.0391 memory: 32703 grad_norm: 28.2308 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4495 loss: 1.4495 2022/07/29 17:59:33 - mmengine - INFO - Epoch(train) [6][2240/2505] lr: 2.0000e-04 eta: 1 day, 12:51:39 time: 1.0819 data_time: 0.0828 memory: 32703 grad_norm: 28.0061 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9387 loss: 1.9387 2022/07/29 18:00:02 - mmengine - INFO - Epoch(train) [6][2260/2505] lr: 2.0000e-04 eta: 1 day, 12:52:38 time: 1.4706 data_time: 0.2690 memory: 32703 grad_norm: 29.4232 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4544 loss: 1.4544 2022/07/29 18:00:18 - mmengine - INFO - Epoch(train) [6][2280/2505] lr: 2.0000e-04 eta: 1 day, 12:51:37 time: 0.7825 data_time: 0.0378 memory: 32703 grad_norm: 29.4342 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5703 loss: 1.5703 2022/07/29 18:00:39 - mmengine - INFO - Epoch(train) [6][2300/2505] lr: 2.0000e-04 eta: 1 day, 12:51:28 time: 1.0815 data_time: 0.0416 memory: 32703 grad_norm: 28.3108 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.8660 loss: 1.8660 2022/07/29 18:01:07 - mmengine - INFO - Epoch(train) [6][2320/2505] lr: 2.0000e-04 eta: 1 day, 12:52:14 time: 1.3962 data_time: 0.0370 memory: 32703 grad_norm: 28.7543 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8675 loss: 1.8675 2022/07/29 18:02:16 - mmengine - INFO - Epoch(train) [6][2340/2505] lr: 2.0000e-04 eta: 1 day, 12:58:57 time: 3.4309 data_time: 0.0312 memory: 32703 grad_norm: 29.4189 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8865 loss: 1.8865 2022/07/29 18:02:36 - mmengine - INFO - Epoch(train) [6][2360/2505] lr: 2.0000e-04 eta: 1 day, 12:58:34 time: 1.0051 data_time: 0.0305 memory: 32703 grad_norm: 27.7119 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1129 loss: 2.1129 2022/07/29 18:02:53 - mmengine - INFO - Epoch(train) [6][2380/2505] lr: 2.0000e-04 eta: 1 day, 12:57:44 time: 0.8518 data_time: 0.0567 memory: 32703 grad_norm: 29.2340 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8126 loss: 1.8126 2022/07/29 18:03:14 - mmengine - INFO - Epoch(train) [6][2400/2505] lr: 2.0000e-04 eta: 1 day, 12:57:26 time: 1.0325 data_time: 0.1244 memory: 32703 grad_norm: 28.7081 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7414 loss: 1.7414 2022/07/29 18:03:37 - mmengine - INFO - Epoch(train) [6][2420/2505] lr: 2.0000e-04 eta: 1 day, 12:57:33 time: 1.1823 data_time: 0.2033 memory: 32703 grad_norm: 29.1892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7778 loss: 1.7778 2022/07/29 18:04:00 - mmengine - INFO - Epoch(train) [6][2440/2505] lr: 2.0000e-04 eta: 1 day, 12:57:32 time: 1.1301 data_time: 0.0331 memory: 32703 grad_norm: 29.8834 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.8577 loss: 1.8577 2022/07/29 18:04:18 - mmengine - INFO - Epoch(train) [6][2460/2505] lr: 2.0000e-04 eta: 1 day, 12:56:48 time: 0.8838 data_time: 0.0266 memory: 32703 grad_norm: 29.0234 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0675 loss: 2.0675 2022/07/29 18:04:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 18:04:36 - mmengine - INFO - Epoch(train) [6][2480/2505] lr: 2.0000e-04 eta: 1 day, 12:56:11 time: 0.9263 data_time: 0.0357 memory: 32703 grad_norm: 29.6722 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7898 loss: 1.7898 2022/07/29 18:04:54 - mmengine - INFO - Epoch(train) [6][2500/2505] lr: 2.0000e-04 eta: 1 day, 12:55:31 time: 0.9094 data_time: 0.0345 memory: 32703 grad_norm: 28.5117 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9020 loss: 1.9020 2022/07/29 18:04:57 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 18:04:57 - mmengine - INFO - Epoch(train) [6][2505/2505] lr: 2.0000e-04 eta: 1 day, 12:55:31 time: 0.8640 data_time: 0.0213 memory: 32703 grad_norm: 28.6029 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.9045 loss: 1.9045 2022/07/29 18:04:57 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/07/29 18:05:03 - mmengine - INFO - Epoch(val) [6][20/2475] eta: 0:08:01 time: 0.1963 data_time: 0.1636 memory: 817 2022/07/29 18:05:06 - mmengine - INFO - Epoch(val) [6][40/2475] eta: 0:05:46 time: 0.1422 data_time: 0.1104 memory: 817 2022/07/29 18:05:09 - mmengine - INFO - Epoch(val) [6][60/2475] eta: 0:05:53 time: 0.1465 data_time: 0.1147 memory: 817 2022/07/29 18:05:10 - mmengine - INFO - Epoch(val) [6][80/2475] eta: 0:03:13 time: 0.0810 data_time: 0.0502 memory: 817 2022/07/29 18:05:12 - mmengine - INFO - Epoch(val) [6][100/2475] eta: 0:04:04 time: 0.1031 data_time: 0.0699 memory: 817 2022/07/29 18:05:13 - mmengine - INFO - Epoch(val) [6][120/2475] eta: 0:01:47 time: 0.0459 data_time: 0.0149 memory: 817 2022/07/29 18:05:15 - mmengine - INFO - Epoch(val) [6][140/2475] eta: 0:03:28 time: 0.0892 data_time: 0.0581 memory: 817 2022/07/29 18:05:16 - mmengine - INFO - Epoch(val) [6][160/2475] eta: 0:02:07 time: 0.0553 data_time: 0.0215 memory: 817 2022/07/29 18:05:19 - mmengine - INFO - Epoch(val) [6][180/2475] eta: 0:04:34 time: 0.1196 data_time: 0.0890 memory: 817 2022/07/29 18:05:20 - mmengine - INFO - Epoch(val) [6][200/2475] eta: 0:02:50 time: 0.0749 data_time: 0.0426 memory: 817 2022/07/29 18:05:21 - mmengine - INFO - Epoch(val) [6][220/2475] eta: 0:02:28 time: 0.0657 data_time: 0.0331 memory: 817 2022/07/29 18:05:23 - mmengine - INFO - Epoch(val) [6][240/2475] eta: 0:02:55 time: 0.0786 data_time: 0.0466 memory: 817 2022/07/29 18:05:26 - mmengine - INFO - Epoch(val) [6][260/2475] eta: 0:06:28 time: 0.1753 data_time: 0.1436 memory: 817 2022/07/29 18:05:28 - mmengine - INFO - Epoch(val) [6][280/2475] eta: 0:03:08 time: 0.0861 data_time: 0.0541 memory: 817 2022/07/29 18:05:29 - mmengine - INFO - Epoch(val) [6][300/2475] eta: 0:01:58 time: 0.0544 data_time: 0.0208 memory: 817 2022/07/29 18:05:31 - mmengine - INFO - Epoch(val) [6][320/2475] eta: 0:03:11 time: 0.0888 data_time: 0.0561 memory: 817 2022/07/29 18:05:32 - mmengine - INFO - Epoch(val) [6][340/2475] eta: 0:02:14 time: 0.0630 data_time: 0.0121 memory: 817 2022/07/29 18:05:34 - mmengine - INFO - Epoch(val) [6][360/2475] eta: 0:03:28 time: 0.0985 data_time: 0.0679 memory: 817 2022/07/29 18:05:35 - mmengine - INFO - Epoch(val) [6][380/2475] eta: 0:02:12 time: 0.0632 data_time: 0.0328 memory: 817 2022/07/29 18:05:37 - mmengine - INFO - Epoch(val) [6][400/2475] eta: 0:02:55 time: 0.0846 data_time: 0.0534 memory: 817 2022/07/29 18:05:39 - mmengine - INFO - Epoch(val) [6][420/2475] eta: 0:02:36 time: 0.0761 data_time: 0.0463 memory: 817 2022/07/29 18:05:41 - mmengine - INFO - Epoch(val) [6][440/2475] eta: 0:03:29 time: 0.1030 data_time: 0.0721 memory: 817 2022/07/29 18:05:42 - mmengine - INFO - Epoch(val) [6][460/2475] eta: 0:02:40 time: 0.0799 data_time: 0.0497 memory: 817 2022/07/29 18:05:44 - mmengine - INFO - Epoch(val) [6][480/2475] eta: 0:02:00 time: 0.0603 data_time: 0.0284 memory: 817 2022/07/29 18:05:45 - mmengine - INFO - Epoch(val) [6][500/2475] eta: 0:02:38 time: 0.0802 data_time: 0.0487 memory: 817 2022/07/29 18:05:46 - mmengine - INFO - Epoch(val) [6][520/2475] eta: 0:01:59 time: 0.0613 data_time: 0.0298 memory: 817 2022/07/29 18:05:48 - mmengine - INFO - Epoch(val) [6][540/2475] eta: 0:02:41 time: 0.0835 data_time: 0.0507 memory: 817 2022/07/29 18:05:50 - mmengine - INFO - Epoch(val) [6][560/2475] eta: 0:02:44 time: 0.0859 data_time: 0.0483 memory: 817 2022/07/29 18:05:51 - mmengine - INFO - Epoch(val) [6][580/2475] eta: 0:02:03 time: 0.0649 data_time: 0.0312 memory: 817 2022/07/29 18:05:53 - mmengine - INFO - Epoch(val) [6][600/2475] eta: 0:02:48 time: 0.0896 data_time: 0.0573 memory: 817 2022/07/29 18:05:54 - mmengine - INFO - Epoch(val) [6][620/2475] eta: 0:02:21 time: 0.0763 data_time: 0.0451 memory: 817 2022/07/29 18:05:56 - mmengine - INFO - Epoch(val) [6][640/2475] eta: 0:02:25 time: 0.0794 data_time: 0.0492 memory: 817 2022/07/29 18:05:58 - mmengine - INFO - Epoch(val) [6][660/2475] eta: 0:03:18 time: 0.1095 data_time: 0.0780 memory: 817 2022/07/29 18:06:00 - mmengine - INFO - Epoch(val) [6][680/2475] eta: 0:02:27 time: 0.0824 data_time: 0.0515 memory: 817 2022/07/29 18:06:01 - mmengine - INFO - Epoch(val) [6][700/2475] eta: 0:02:22 time: 0.0803 data_time: 0.0501 memory: 817 2022/07/29 18:06:03 - mmengine - INFO - Epoch(val) [6][720/2475] eta: 0:01:46 time: 0.0609 data_time: 0.0287 memory: 817 2022/07/29 18:06:05 - mmengine - INFO - Epoch(val) [6][740/2475] eta: 0:03:43 time: 0.1291 data_time: 0.0993 memory: 817 2022/07/29 18:06:07 - mmengine - INFO - Epoch(val) [6][760/2475] eta: 0:01:57 time: 0.0686 data_time: 0.0383 memory: 817 2022/07/29 18:06:08 - mmengine - INFO - Epoch(val) [6][780/2475] eta: 0:02:34 time: 0.0910 data_time: 0.0598 memory: 817 2022/07/29 18:06:09 - mmengine - INFO - Epoch(val) [6][800/2475] eta: 0:00:56 time: 0.0336 data_time: 0.0036 memory: 817 2022/07/29 18:06:13 - mmengine - INFO - Epoch(val) [6][820/2475] eta: 0:04:56 time: 0.1792 data_time: 0.1493 memory: 817 2022/07/29 18:06:15 - mmengine - INFO - Epoch(val) [6][840/2475] eta: 0:02:52 time: 0.1057 data_time: 0.0750 memory: 817 2022/07/29 18:06:16 - mmengine - INFO - Epoch(val) [6][860/2475] eta: 0:01:06 time: 0.0411 data_time: 0.0103 memory: 817 2022/07/29 18:06:20 - mmengine - INFO - Epoch(val) [6][880/2475] eta: 0:05:27 time: 0.2056 data_time: 0.1731 memory: 817 2022/07/29 18:06:21 - mmengine - INFO - Epoch(val) [6][900/2475] eta: 0:01:42 time: 0.0651 data_time: 0.0338 memory: 817 2022/07/29 18:06:22 - mmengine - INFO - Epoch(val) [6][920/2475] eta: 0:01:31 time: 0.0591 data_time: 0.0274 memory: 817 2022/07/29 18:06:24 - mmengine - INFO - Epoch(val) [6][940/2475] eta: 0:01:54 time: 0.0745 data_time: 0.0435 memory: 817 2022/07/29 18:06:26 - mmengine - INFO - Epoch(val) [6][960/2475] eta: 0:02:26 time: 0.0966 data_time: 0.0644 memory: 817 2022/07/29 18:06:27 - mmengine - INFO - Epoch(val) [6][980/2475] eta: 0:01:47 time: 0.0718 data_time: 0.0393 memory: 817 2022/07/29 18:06:29 - mmengine - INFO - Epoch(val) [6][1000/2475] eta: 0:01:51 time: 0.0753 data_time: 0.0432 memory: 817 2022/07/29 18:06:30 - mmengine - INFO - Epoch(val) [6][1020/2475] eta: 0:02:00 time: 0.0826 data_time: 0.0520 memory: 817 2022/07/29 18:06:32 - mmengine - INFO - Epoch(val) [6][1040/2475] eta: 0:02:22 time: 0.0992 data_time: 0.0644 memory: 817 2022/07/29 18:06:34 - mmengine - INFO - Epoch(val) [6][1060/2475] eta: 0:01:55 time: 0.0819 data_time: 0.0504 memory: 817 2022/07/29 18:06:36 - mmengine - INFO - Epoch(val) [6][1080/2475] eta: 0:01:55 time: 0.0826 data_time: 0.0514 memory: 817 2022/07/29 18:06:37 - mmengine - INFO - Epoch(val) [6][1100/2475] eta: 0:01:29 time: 0.0651 data_time: 0.0351 memory: 817 2022/07/29 18:06:39 - mmengine - INFO - Epoch(val) [6][1120/2475] eta: 0:02:03 time: 0.0913 data_time: 0.0608 memory: 817 2022/07/29 18:06:41 - mmengine - INFO - Epoch(val) [6][1140/2475] eta: 0:02:08 time: 0.0963 data_time: 0.0662 memory: 817 2022/07/29 18:06:42 - mmengine - INFO - Epoch(val) [6][1160/2475] eta: 0:01:30 time: 0.0691 data_time: 0.0367 memory: 817 2022/07/29 18:06:44 - mmengine - INFO - Epoch(val) [6][1180/2475] eta: 0:01:52 time: 0.0867 data_time: 0.0567 memory: 817 2022/07/29 18:06:45 - mmengine - INFO - Epoch(val) [6][1200/2475] eta: 0:01:19 time: 0.0624 data_time: 0.0309 memory: 817 2022/07/29 18:06:46 - mmengine - INFO - Epoch(val) [6][1220/2475] eta: 0:01:04 time: 0.0517 data_time: 0.0209 memory: 817 2022/07/29 18:06:50 - mmengine - INFO - Epoch(val) [6][1240/2475] eta: 0:03:53 time: 0.1892 data_time: 0.1580 memory: 817 2022/07/29 18:06:53 - mmengine - INFO - Epoch(val) [6][1260/2475] eta: 0:02:44 time: 0.1351 data_time: 0.1058 memory: 817 2022/07/29 18:06:55 - mmengine - INFO - Epoch(val) [6][1280/2475] eta: 0:02:14 time: 0.1126 data_time: 0.0818 memory: 817 2022/07/29 18:06:57 - mmengine - INFO - Epoch(val) [6][1300/2475] eta: 0:02:38 time: 0.1351 data_time: 0.1053 memory: 817 2022/07/29 18:06:59 - mmengine - INFO - Epoch(val) [6][1320/2475] eta: 0:01:24 time: 0.0734 data_time: 0.0437 memory: 817 2022/07/29 18:07:02 - mmengine - INFO - Epoch(val) [6][1340/2475] eta: 0:03:13 time: 0.1706 data_time: 0.1405 memory: 817 2022/07/29 18:07:04 - mmengine - INFO - Epoch(val) [6][1360/2475] eta: 0:01:16 time: 0.0684 data_time: 0.0383 memory: 817 2022/07/29 18:07:06 - mmengine - INFO - Epoch(val) [6][1380/2475] eta: 0:01:38 time: 0.0900 data_time: 0.0557 memory: 817 2022/07/29 18:07:08 - mmengine - INFO - Epoch(val) [6][1400/2475] eta: 0:02:28 time: 0.1382 data_time: 0.1058 memory: 817 2022/07/29 18:07:12 - mmengine - INFO - Epoch(val) [6][1420/2475] eta: 0:03:03 time: 0.1742 data_time: 0.1248 memory: 817 2022/07/29 18:07:13 - mmengine - INFO - Epoch(val) [6][1440/2475] eta: 0:01:21 time: 0.0791 data_time: 0.0461 memory: 817 2022/07/29 18:07:14 - mmengine - INFO - Epoch(val) [6][1460/2475] eta: 0:00:46 time: 0.0460 data_time: 0.0165 memory: 817 2022/07/29 18:07:17 - mmengine - INFO - Epoch(val) [6][1480/2475] eta: 0:01:49 time: 0.1098 data_time: 0.0792 memory: 817 2022/07/29 18:07:19 - mmengine - INFO - Epoch(val) [6][1500/2475] eta: 0:01:37 time: 0.1000 data_time: 0.0679 memory: 817 2022/07/29 18:07:20 - mmengine - INFO - Epoch(val) [6][1520/2475] eta: 0:00:56 time: 0.0586 data_time: 0.0268 memory: 817 2022/07/29 18:07:22 - mmengine - INFO - Epoch(val) [6][1540/2475] eta: 0:01:44 time: 0.1116 data_time: 0.0809 memory: 817 2022/07/29 18:07:23 - mmengine - INFO - Epoch(val) [6][1560/2475] eta: 0:01:03 time: 0.0699 data_time: 0.0397 memory: 817 2022/07/29 18:07:25 - mmengine - INFO - Epoch(val) [6][1580/2475] eta: 0:01:02 time: 0.0699 data_time: 0.0380 memory: 817 2022/07/29 18:07:26 - mmengine - INFO - Epoch(val) [6][1600/2475] eta: 0:01:12 time: 0.0831 data_time: 0.0511 memory: 817 2022/07/29 18:07:28 - mmengine - INFO - Epoch(val) [6][1620/2475] eta: 0:00:59 time: 0.0694 data_time: 0.0386 memory: 817 2022/07/29 18:07:30 - mmengine - INFO - Epoch(val) [6][1640/2475] eta: 0:01:23 time: 0.1002 data_time: 0.0696 memory: 817 2022/07/29 18:07:32 - mmengine - INFO - Epoch(val) [6][1660/2475] eta: 0:01:23 time: 0.1022 data_time: 0.0574 memory: 817 2022/07/29 18:07:33 - mmengine - INFO - Epoch(val) [6][1680/2475] eta: 0:00:49 time: 0.0618 data_time: 0.0274 memory: 817 2022/07/29 18:07:35 - mmengine - INFO - Epoch(val) [6][1700/2475] eta: 0:01:08 time: 0.0889 data_time: 0.0568 memory: 817 2022/07/29 18:07:36 - mmengine - INFO - Epoch(val) [6][1720/2475] eta: 0:00:51 time: 0.0677 data_time: 0.0364 memory: 817 2022/07/29 18:07:38 - mmengine - INFO - Epoch(val) [6][1740/2475] eta: 0:00:56 time: 0.0772 data_time: 0.0454 memory: 817 2022/07/29 18:07:40 - mmengine - INFO - Epoch(val) [6][1760/2475] eta: 0:01:02 time: 0.0880 data_time: 0.0573 memory: 817 2022/07/29 18:07:41 - mmengine - INFO - Epoch(val) [6][1780/2475] eta: 0:00:51 time: 0.0744 data_time: 0.0433 memory: 817 2022/07/29 18:07:43 - mmengine - INFO - Epoch(val) [6][1800/2475] eta: 0:00:57 time: 0.0859 data_time: 0.0546 memory: 817 2022/07/29 18:07:45 - mmengine - INFO - Epoch(val) [6][1820/2475] eta: 0:01:11 time: 0.1085 data_time: 0.0772 memory: 817 2022/07/29 18:07:47 - mmengine - INFO - Epoch(val) [6][1840/2475] eta: 0:01:01 time: 0.0972 data_time: 0.0662 memory: 817 2022/07/29 18:07:48 - mmengine - INFO - Epoch(val) [6][1860/2475] eta: 0:00:32 time: 0.0521 data_time: 0.0192 memory: 817 2022/07/29 18:07:50 - mmengine - INFO - Epoch(val) [6][1880/2475] eta: 0:00:51 time: 0.0871 data_time: 0.0555 memory: 817 2022/07/29 18:07:53 - mmengine - INFO - Epoch(val) [6][1900/2475] eta: 0:01:33 time: 0.1630 data_time: 0.1114 memory: 817 2022/07/29 18:07:54 - mmengine - INFO - Epoch(val) [6][1920/2475] eta: 0:00:31 time: 0.0573 data_time: 0.0261 memory: 817 2022/07/29 18:07:55 - mmengine - INFO - Epoch(val) [6][1940/2475] eta: 0:00:32 time: 0.0607 data_time: 0.0281 memory: 817 2022/07/29 18:07:58 - mmengine - INFO - Epoch(val) [6][1960/2475] eta: 0:01:12 time: 0.1402 data_time: 0.1106 memory: 817 2022/07/29 18:07:59 - mmengine - INFO - Epoch(val) [6][1980/2475] eta: 0:00:33 time: 0.0679 data_time: 0.0350 memory: 817 2022/07/29 18:08:01 - mmengine - INFO - Epoch(val) [6][2000/2475] eta: 0:00:30 time: 0.0650 data_time: 0.0342 memory: 817 2022/07/29 18:08:02 - mmengine - INFO - Epoch(val) [6][2020/2475] eta: 0:00:36 time: 0.0805 data_time: 0.0502 memory: 817 2022/07/29 18:08:04 - mmengine - INFO - Epoch(val) [6][2040/2475] eta: 0:00:39 time: 0.0917 data_time: 0.0608 memory: 817 2022/07/29 18:08:06 - mmengine - INFO - Epoch(val) [6][2060/2475] eta: 0:00:28 time: 0.0685 data_time: 0.0381 memory: 817 2022/07/29 18:08:08 - mmengine - INFO - Epoch(val) [6][2080/2475] eta: 0:00:47 time: 0.1200 data_time: 0.0882 memory: 817 2022/07/29 18:08:10 - mmengine - INFO - Epoch(val) [6][2100/2475] eta: 0:00:33 time: 0.0906 data_time: 0.0583 memory: 817 2022/07/29 18:08:12 - mmengine - INFO - Epoch(val) [6][2120/2475] eta: 0:00:38 time: 0.1089 data_time: 0.0695 memory: 817 2022/07/29 18:08:13 - mmengine - INFO - Epoch(val) [6][2140/2475] eta: 0:00:15 time: 0.0451 data_time: 0.0095 memory: 817 2022/07/29 18:08:14 - mmengine - INFO - Epoch(val) [6][2160/2475] eta: 0:00:19 time: 0.0623 data_time: 0.0306 memory: 817 2022/07/29 18:08:16 - mmengine - INFO - Epoch(val) [6][2180/2475] eta: 0:00:29 time: 0.0985 data_time: 0.0680 memory: 817 2022/07/29 18:08:18 - mmengine - INFO - Epoch(val) [6][2200/2475] eta: 0:00:21 time: 0.0789 data_time: 0.0470 memory: 817 2022/07/29 18:08:21 - mmengine - INFO - Epoch(val) [6][2220/2475] eta: 0:00:40 time: 0.1594 data_time: 0.1291 memory: 817 2022/07/29 18:08:22 - mmengine - INFO - Epoch(val) [6][2240/2475] eta: 0:00:10 time: 0.0463 data_time: 0.0133 memory: 817 2022/07/29 18:08:23 - mmengine - INFO - Epoch(val) [6][2260/2475] eta: 0:00:17 time: 0.0819 data_time: 0.0502 memory: 817 2022/07/29 18:08:25 - mmengine - INFO - Epoch(val) [6][2280/2475] eta: 0:00:12 time: 0.0620 data_time: 0.0315 memory: 817 2022/07/29 18:08:26 - mmengine - INFO - Epoch(val) [6][2300/2475] eta: 0:00:14 time: 0.0819 data_time: 0.0508 memory: 817 2022/07/29 18:08:28 - mmengine - INFO - Epoch(val) [6][2320/2475] eta: 0:00:12 time: 0.0775 data_time: 0.0459 memory: 817 2022/07/29 18:08:29 - mmengine - INFO - Epoch(val) [6][2340/2475] eta: 0:00:10 time: 0.0780 data_time: 0.0474 memory: 817 2022/07/29 18:08:31 - mmengine - INFO - Epoch(val) [6][2360/2475] eta: 0:00:08 time: 0.0736 data_time: 0.0421 memory: 817 2022/07/29 18:08:33 - mmengine - INFO - Epoch(val) [6][2380/2475] eta: 0:00:11 time: 0.1222 data_time: 0.0920 memory: 817 2022/07/29 18:08:36 - mmengine - INFO - Epoch(val) [6][2400/2475] eta: 0:00:08 time: 0.1123 data_time: 0.0798 memory: 817 2022/07/29 18:08:37 - mmengine - INFO - Epoch(val) [6][2420/2475] eta: 0:00:03 time: 0.0698 data_time: 0.0363 memory: 817 2022/07/29 18:08:38 - mmengine - INFO - Epoch(val) [6][2440/2475] eta: 0:00:02 time: 0.0755 data_time: 0.0433 memory: 817 2022/07/29 18:08:40 - mmengine - INFO - Epoch(val) [6][2460/2475] eta: 0:00:00 time: 0.0634 data_time: 0.0334 memory: 817 2022/07/29 18:08:43 - mmengine - INFO - Epoch(val) [6][2475/2475] acc/top1: 0.6905 acc/top5: 0.8803 acc/mean1: 0.6905 2022/07/29 18:08:43 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_4.pth is removed 2022/07/29 18:08:45 - mmengine - INFO - The best checkpoint with 0.6905 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/07/29 18:09:14 - mmengine - INFO - Epoch(train) [7][20/2505] lr: 2.3000e-04 eta: 1 day, 12:55:38 time: 1.4599 data_time: 0.6249 memory: 32703 grad_norm: 28.4614 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4881 loss: 1.4881 2022/07/29 18:09:32 - mmengine - INFO - Epoch(train) [7][40/2505] lr: 2.3000e-04 eta: 1 day, 12:54:57 time: 0.9027 data_time: 0.1788 memory: 32703 grad_norm: 29.8281 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9775 loss: 1.9775 2022/07/29 18:09:52 - mmengine - INFO - Epoch(train) [7][60/2505] lr: 2.3000e-04 eta: 1 day, 12:54:35 time: 1.0117 data_time: 0.3480 memory: 32703 grad_norm: 29.0526 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6556 loss: 1.6556 2022/07/29 18:10:11 - mmengine - INFO - Epoch(train) [7][80/2505] lr: 2.3000e-04 eta: 1 day, 12:53:57 time: 0.9219 data_time: 0.3388 memory: 32703 grad_norm: 28.5476 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7492 loss: 1.7492 2022/07/29 18:10:31 - mmengine - INFO - Epoch(train) [7][100/2505] lr: 2.3000e-04 eta: 1 day, 12:53:38 time: 1.0235 data_time: 0.4249 memory: 32703 grad_norm: 29.9059 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7876 loss: 1.7876 2022/07/29 18:10:50 - mmengine - INFO - Epoch(train) [7][120/2505] lr: 2.3000e-04 eta: 1 day, 12:53:02 time: 0.9305 data_time: 0.3414 memory: 32703 grad_norm: 28.4452 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4887 loss: 1.4887 2022/07/29 18:11:12 - mmengine - INFO - Epoch(train) [7][140/2505] lr: 2.3000e-04 eta: 1 day, 12:52:56 time: 1.1076 data_time: 0.0671 memory: 32703 grad_norm: 28.5329 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8484 loss: 1.8484 2022/07/29 18:11:31 - mmengine - INFO - Epoch(train) [7][160/2505] lr: 2.3000e-04 eta: 1 day, 12:52:21 time: 0.9317 data_time: 0.0756 memory: 32703 grad_norm: 28.9489 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7022 loss: 1.7022 2022/07/29 18:11:52 - mmengine - INFO - Epoch(train) [7][180/2505] lr: 2.3000e-04 eta: 1 day, 12:52:10 time: 1.0784 data_time: 0.0496 memory: 32703 grad_norm: 29.7518 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6374 loss: 1.6374 2022/07/29 18:12:09 - mmengine - INFO - Epoch(train) [7][200/2505] lr: 2.3000e-04 eta: 1 day, 12:51:23 time: 0.8611 data_time: 0.0298 memory: 32703 grad_norm: 29.3538 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5846 loss: 1.5846 2022/07/29 18:12:29 - mmengine - INFO - Epoch(train) [7][220/2505] lr: 2.3000e-04 eta: 1 day, 12:50:59 time: 1.0025 data_time: 0.0302 memory: 32703 grad_norm: 28.9338 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0530 loss: 2.0530 2022/07/29 18:12:48 - mmengine - INFO - Epoch(train) [7][240/2505] lr: 2.3000e-04 eta: 1 day, 12:50:25 time: 0.9361 data_time: 0.0325 memory: 32703 grad_norm: 28.5167 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8140 loss: 1.8140 2022/07/29 18:13:10 - mmengine - INFO - Epoch(train) [7][260/2505] lr: 2.3000e-04 eta: 1 day, 12:50:16 time: 1.0891 data_time: 0.0359 memory: 32703 grad_norm: 28.9155 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5949 loss: 1.5949 2022/07/29 18:13:28 - mmengine - INFO - Epoch(train) [7][280/2505] lr: 2.3000e-04 eta: 1 day, 12:49:38 time: 0.9158 data_time: 0.0320 memory: 32703 grad_norm: 28.4997 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8033 loss: 1.8033 2022/07/29 18:13:49 - mmengine - INFO - Epoch(train) [7][300/2505] lr: 2.3000e-04 eta: 1 day, 12:49:21 time: 1.0409 data_time: 0.0343 memory: 32703 grad_norm: 28.4328 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7133 loss: 1.7133 2022/07/29 18:14:08 - mmengine - INFO - Epoch(train) [7][320/2505] lr: 2.3000e-04 eta: 1 day, 12:48:44 time: 0.9240 data_time: 0.0274 memory: 32703 grad_norm: 27.8119 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6403 loss: 1.6403 2022/07/29 18:14:29 - mmengine - INFO - Epoch(train) [7][340/2505] lr: 2.3000e-04 eta: 1 day, 12:48:36 time: 1.0909 data_time: 0.0351 memory: 32703 grad_norm: 28.2728 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6840 loss: 1.6840 2022/07/29 18:14:47 - mmengine - INFO - Epoch(train) [7][360/2505] lr: 2.3000e-04 eta: 1 day, 12:47:56 time: 0.9055 data_time: 0.0279 memory: 32703 grad_norm: 28.2902 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5339 loss: 1.5339 2022/07/29 18:15:09 - mmengine - INFO - Epoch(train) [7][380/2505] lr: 2.3000e-04 eta: 1 day, 12:47:43 time: 1.0653 data_time: 0.0292 memory: 32703 grad_norm: 27.6091 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7033 loss: 1.7033 2022/07/29 18:15:28 - mmengine - INFO - Epoch(train) [7][400/2505] lr: 2.3000e-04 eta: 1 day, 12:47:09 time: 0.9377 data_time: 0.0283 memory: 32703 grad_norm: 28.8328 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7890 loss: 1.7890 2022/07/29 18:15:49 - mmengine - INFO - Epoch(train) [7][420/2505] lr: 2.3000e-04 eta: 1 day, 12:46:59 time: 1.0805 data_time: 0.0319 memory: 32703 grad_norm: 27.8690 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.7521 loss: 1.7521 2022/07/29 18:16:07 - mmengine - INFO - Epoch(train) [7][440/2505] lr: 2.3000e-04 eta: 1 day, 12:46:21 time: 0.9138 data_time: 0.0255 memory: 32703 grad_norm: 27.4983 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7981 loss: 1.7981 2022/07/29 18:16:29 - mmengine - INFO - Epoch(train) [7][460/2505] lr: 2.3000e-04 eta: 1 day, 12:46:09 time: 1.0721 data_time: 0.0414 memory: 32703 grad_norm: 27.7526 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4910 loss: 1.4910 2022/07/29 18:16:50 - mmengine - INFO - Epoch(train) [7][480/2505] lr: 2.3000e-04 eta: 1 day, 12:45:58 time: 1.0775 data_time: 0.0282 memory: 32703 grad_norm: 27.7281 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5220 loss: 1.5220 2022/07/29 18:17:10 - mmengine - INFO - Epoch(train) [7][500/2505] lr: 2.3000e-04 eta: 1 day, 12:45:28 time: 0.9615 data_time: 0.3587 memory: 32703 grad_norm: 27.9636 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5969 loss: 1.5969 2022/07/29 18:17:27 - mmengine - INFO - Epoch(train) [7][520/2505] lr: 2.3000e-04 eta: 1 day, 12:44:46 time: 0.8898 data_time: 0.2604 memory: 32703 grad_norm: 27.6290 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6686 loss: 1.6686 2022/07/29 18:17:48 - mmengine - INFO - Epoch(train) [7][540/2505] lr: 2.3000e-04 eta: 1 day, 12:44:28 time: 1.0354 data_time: 0.3123 memory: 32703 grad_norm: 28.7207 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6549 loss: 1.6549 2022/07/29 18:18:07 - mmengine - INFO - Epoch(train) [7][560/2505] lr: 2.3000e-04 eta: 1 day, 12:43:54 time: 0.9362 data_time: 0.1114 memory: 32703 grad_norm: 28.2466 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8513 loss: 1.8513 2022/07/29 18:18:27 - mmengine - INFO - Epoch(train) [7][580/2505] lr: 2.3000e-04 eta: 1 day, 12:43:32 time: 1.0086 data_time: 0.3349 memory: 32703 grad_norm: 28.5659 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5710 loss: 1.5710 2022/07/29 18:18:46 - mmengine - INFO - Epoch(train) [7][600/2505] lr: 2.3000e-04 eta: 1 day, 12:43:00 time: 0.9517 data_time: 0.3224 memory: 32703 grad_norm: 27.3901 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6869 loss: 1.6869 2022/07/29 18:19:07 - mmengine - INFO - Epoch(train) [7][620/2505] lr: 2.3000e-04 eta: 1 day, 12:42:42 time: 1.0344 data_time: 0.4447 memory: 32703 grad_norm: 27.1291 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5628 loss: 1.5628 2022/07/29 18:19:25 - mmengine - INFO - Epoch(train) [7][640/2505] lr: 2.3000e-04 eta: 1 day, 12:42:06 time: 0.9231 data_time: 0.2097 memory: 32703 grad_norm: 28.1636 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8103 loss: 1.8103 2022/07/29 18:19:46 - mmengine - INFO - Epoch(train) [7][660/2505] lr: 2.3000e-04 eta: 1 day, 12:41:48 time: 1.0320 data_time: 0.1283 memory: 32703 grad_norm: 28.7578 top1_acc: 0.1667 top5_acc: 0.4167 loss_cls: 2.0215 loss: 2.0215 2022/07/29 18:20:04 - mmengine - INFO - Epoch(train) [7][680/2505] lr: 2.3000e-04 eta: 1 day, 12:41:10 time: 0.9128 data_time: 0.1537 memory: 32703 grad_norm: 27.2187 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6785 loss: 1.6785 2022/07/29 18:20:27 - mmengine - INFO - Epoch(train) [7][700/2505] lr: 2.3000e-04 eta: 1 day, 12:41:06 time: 1.1184 data_time: 0.2292 memory: 32703 grad_norm: 27.7941 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8094 loss: 1.8094 2022/07/29 18:20:45 - mmengine - INFO - Epoch(train) [7][720/2505] lr: 2.3000e-04 eta: 1 day, 12:40:30 time: 0.9292 data_time: 0.1893 memory: 32703 grad_norm: 28.7176 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0339 loss: 2.0339 2022/07/29 18:21:06 - mmengine - INFO - Epoch(train) [7][740/2505] lr: 2.3000e-04 eta: 1 day, 12:40:13 time: 1.0398 data_time: 0.1013 memory: 32703 grad_norm: 28.8709 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5839 loss: 1.5839 2022/07/29 18:21:24 - mmengine - INFO - Epoch(train) [7][760/2505] lr: 2.3000e-04 eta: 1 day, 12:39:36 time: 0.9172 data_time: 0.0364 memory: 32703 grad_norm: 27.3893 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9039 loss: 1.9039 2022/07/29 18:21:45 - mmengine - INFO - Epoch(train) [7][780/2505] lr: 2.3000e-04 eta: 1 day, 12:39:22 time: 1.0536 data_time: 0.1243 memory: 32703 grad_norm: 27.5061 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6525 loss: 1.6525 2022/07/29 18:22:04 - mmengine - INFO - Epoch(train) [7][800/2505] lr: 2.3000e-04 eta: 1 day, 12:38:45 time: 0.9209 data_time: 0.0548 memory: 32703 grad_norm: 28.3224 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 2.0092 loss: 2.0092 2022/07/29 18:22:25 - mmengine - INFO - Epoch(train) [7][820/2505] lr: 2.3000e-04 eta: 1 day, 12:38:33 time: 1.0711 data_time: 0.0465 memory: 32703 grad_norm: 28.3239 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7760 loss: 1.7760 2022/07/29 18:22:43 - mmengine - INFO - Epoch(train) [7][840/2505] lr: 2.3000e-04 eta: 1 day, 12:37:50 time: 0.8811 data_time: 0.0276 memory: 32703 grad_norm: 28.2205 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6970 loss: 1.6970 2022/07/29 18:23:04 - mmengine - INFO - Epoch(train) [7][860/2505] lr: 2.3000e-04 eta: 1 day, 12:37:36 time: 1.0541 data_time: 0.0359 memory: 32703 grad_norm: 27.7026 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7772 loss: 1.7772 2022/07/29 18:23:22 - mmengine - INFO - Epoch(train) [7][880/2505] lr: 2.3000e-04 eta: 1 day, 12:36:55 time: 0.8929 data_time: 0.0382 memory: 32703 grad_norm: 28.4426 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1153 loss: 2.1153 2022/07/29 18:23:43 - mmengine - INFO - Epoch(train) [7][900/2505] lr: 2.3000e-04 eta: 1 day, 12:36:40 time: 1.0514 data_time: 0.0308 memory: 32703 grad_norm: 28.7863 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4743 loss: 1.4743 2022/07/29 18:24:00 - mmengine - INFO - Epoch(train) [7][920/2505] lr: 2.3000e-04 eta: 1 day, 12:35:58 time: 0.8860 data_time: 0.0338 memory: 32703 grad_norm: 28.7088 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7224 loss: 1.7224 2022/07/29 18:24:22 - mmengine - INFO - Epoch(train) [7][940/2505] lr: 2.3000e-04 eta: 1 day, 12:35:43 time: 1.0538 data_time: 0.0340 memory: 32703 grad_norm: 29.4867 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6215 loss: 1.6215 2022/07/29 18:24:41 - mmengine - INFO - Epoch(train) [7][960/2505] lr: 2.3000e-04 eta: 1 day, 12:35:11 time: 0.9483 data_time: 0.1857 memory: 32703 grad_norm: 27.7158 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7498 loss: 1.7498 2022/07/29 18:24:52 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 18:25:01 - mmengine - INFO - Epoch(train) [7][980/2505] lr: 2.3000e-04 eta: 1 day, 12:34:56 time: 1.0475 data_time: 0.4191 memory: 32703 grad_norm: 27.9548 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8171 loss: 1.8171 2022/07/29 18:25:20 - mmengine - INFO - Epoch(train) [7][1000/2505] lr: 2.3000e-04 eta: 1 day, 12:34:23 time: 0.9396 data_time: 0.3400 memory: 32703 grad_norm: 27.0713 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6514 loss: 1.6514 2022/07/29 18:25:40 - mmengine - INFO - Epoch(train) [7][1020/2505] lr: 2.3000e-04 eta: 1 day, 12:33:58 time: 0.9932 data_time: 0.3747 memory: 32703 grad_norm: 29.4467 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8162 loss: 1.8162 2022/07/29 18:25:58 - mmengine - INFO - Epoch(train) [7][1040/2505] lr: 2.3000e-04 eta: 1 day, 12:33:21 time: 0.9171 data_time: 0.2588 memory: 32703 grad_norm: 28.4326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7288 loss: 1.7288 2022/07/29 18:26:19 - mmengine - INFO - Epoch(train) [7][1060/2505] lr: 2.3000e-04 eta: 1 day, 12:33:00 time: 1.0118 data_time: 0.2581 memory: 32703 grad_norm: 28.0742 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6925 loss: 1.6925 2022/07/29 18:26:37 - mmengine - INFO - Epoch(train) [7][1080/2505] lr: 2.3000e-04 eta: 1 day, 12:32:22 time: 0.9064 data_time: 0.1012 memory: 32703 grad_norm: 27.3865 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7211 loss: 1.7211 2022/07/29 18:26:58 - mmengine - INFO - Epoch(train) [7][1100/2505] lr: 2.3000e-04 eta: 1 day, 12:32:09 time: 1.0666 data_time: 0.3973 memory: 32703 grad_norm: 27.9955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5564 loss: 1.5564 2022/07/29 18:27:19 - mmengine - INFO - Epoch(train) [7][1120/2505] lr: 2.3000e-04 eta: 1 day, 12:31:53 time: 1.0470 data_time: 0.4466 memory: 32703 grad_norm: 26.7737 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.6603 loss: 1.6603 2022/07/29 18:27:39 - mmengine - INFO - Epoch(train) [7][1140/2505] lr: 2.3000e-04 eta: 1 day, 12:31:26 time: 0.9745 data_time: 0.3877 memory: 32703 grad_norm: 28.4253 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9852 loss: 1.9852 2022/07/29 18:27:57 - mmengine - INFO - Epoch(train) [7][1160/2505] lr: 2.3000e-04 eta: 1 day, 12:30:50 time: 0.9230 data_time: 0.3281 memory: 32703 grad_norm: 27.5977 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7995 loss: 1.7995 2022/07/29 18:28:18 - mmengine - INFO - Epoch(train) [7][1180/2505] lr: 2.3000e-04 eta: 1 day, 12:30:33 time: 1.0378 data_time: 0.4522 memory: 32703 grad_norm: 27.1998 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.6553 loss: 1.6553 2022/07/29 18:28:37 - mmengine - INFO - Epoch(train) [7][1200/2505] lr: 2.3000e-04 eta: 1 day, 12:30:00 time: 0.9377 data_time: 0.3350 memory: 32703 grad_norm: 26.7267 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7102 loss: 1.7102 2022/07/29 18:28:58 - mmengine - INFO - Epoch(train) [7][1220/2505] lr: 2.3000e-04 eta: 1 day, 12:29:46 time: 1.0567 data_time: 0.4561 memory: 32703 grad_norm: 28.0123 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5305 loss: 1.5305 2022/07/29 18:29:16 - mmengine - INFO - Epoch(train) [7][1240/2505] lr: 2.3000e-04 eta: 1 day, 12:29:08 time: 0.9096 data_time: 0.2803 memory: 32703 grad_norm: 28.1746 top1_acc: 0.4167 top5_acc: 0.4167 loss_cls: 1.8635 loss: 1.8635 2022/07/29 18:29:39 - mmengine - INFO - Epoch(train) [7][1260/2505] lr: 2.3000e-04 eta: 1 day, 12:29:06 time: 1.1341 data_time: 0.5411 memory: 32703 grad_norm: 28.4977 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7999 loss: 1.7999 2022/07/29 18:30:01 - mmengine - INFO - Epoch(train) [7][1280/2505] lr: 2.3000e-04 eta: 1 day, 12:29:02 time: 1.1189 data_time: 0.1066 memory: 32703 grad_norm: 28.1775 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9061 loss: 1.9061 2022/07/29 18:30:28 - mmengine - INFO - Epoch(train) [7][1300/2505] lr: 2.3000e-04 eta: 1 day, 12:29:37 time: 1.3698 data_time: 0.1689 memory: 32703 grad_norm: 28.4602 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8195 loss: 1.8195 2022/07/29 18:30:51 - mmengine - INFO - Epoch(train) [7][1320/2505] lr: 2.3000e-04 eta: 1 day, 12:29:37 time: 1.1520 data_time: 0.2397 memory: 32703 grad_norm: 27.1662 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5433 loss: 1.5433 2022/07/29 18:31:12 - mmengine - INFO - Epoch(train) [7][1340/2505] lr: 2.3000e-04 eta: 1 day, 12:29:19 time: 1.0318 data_time: 0.1081 memory: 32703 grad_norm: 29.1428 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6777 loss: 1.6777 2022/07/29 18:31:34 - mmengine - INFO - Epoch(train) [7][1360/2505] lr: 2.3000e-04 eta: 1 day, 12:29:11 time: 1.0991 data_time: 0.0443 memory: 32703 grad_norm: 28.0973 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6921 loss: 1.6921 2022/07/29 18:31:56 - mmengine - INFO - Epoch(train) [7][1380/2505] lr: 2.3000e-04 eta: 1 day, 12:29:02 time: 1.0892 data_time: 0.0454 memory: 32703 grad_norm: 27.9144 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7296 loss: 1.7296 2022/07/29 18:32:19 - mmengine - INFO - Epoch(train) [7][1400/2505] lr: 2.3000e-04 eta: 1 day, 12:29:01 time: 1.1410 data_time: 0.2272 memory: 32703 grad_norm: 27.4933 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7712 loss: 1.7712 2022/07/29 18:32:46 - mmengine - INFO - Epoch(train) [7][1420/2505] lr: 2.3000e-04 eta: 1 day, 12:29:32 time: 1.3519 data_time: 0.0850 memory: 32703 grad_norm: 28.9551 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6747 loss: 1.6747 2022/07/29 18:33:12 - mmengine - INFO - Epoch(train) [7][1440/2505] lr: 2.3000e-04 eta: 1 day, 12:29:55 time: 1.2928 data_time: 0.0868 memory: 32703 grad_norm: 28.8958 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8678 loss: 1.8678 2022/07/29 18:33:36 - mmengine - INFO - Epoch(train) [7][1460/2505] lr: 2.3000e-04 eta: 1 day, 12:30:03 time: 1.2029 data_time: 0.0433 memory: 32703 grad_norm: 28.1712 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6658 loss: 1.6658 2022/07/29 18:33:54 - mmengine - INFO - Epoch(train) [7][1480/2505] lr: 2.3000e-04 eta: 1 day, 12:29:27 time: 0.9205 data_time: 0.0615 memory: 32703 grad_norm: 28.3784 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0037 loss: 2.0037 2022/07/29 18:34:16 - mmengine - INFO - Epoch(train) [7][1500/2505] lr: 2.3000e-04 eta: 1 day, 12:29:15 time: 1.0777 data_time: 0.0253 memory: 32703 grad_norm: 27.8378 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7909 loss: 1.7909 2022/07/29 18:34:34 - mmengine - INFO - Epoch(train) [7][1520/2505] lr: 2.3000e-04 eta: 1 day, 12:28:42 time: 0.9355 data_time: 0.1377 memory: 32703 grad_norm: 27.8424 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4035 loss: 1.4035 2022/07/29 18:35:00 - mmengine - INFO - Epoch(train) [7][1540/2505] lr: 2.3000e-04 eta: 1 day, 12:29:00 time: 1.2696 data_time: 0.0696 memory: 32703 grad_norm: 28.0647 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.6904 loss: 1.6904 2022/07/29 18:35:16 - mmengine - INFO - Epoch(train) [7][1560/2505] lr: 2.3000e-04 eta: 1 day, 12:28:08 time: 0.8165 data_time: 0.0292 memory: 32703 grad_norm: 27.9728 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9434 loss: 1.9434 2022/07/29 18:35:38 - mmengine - INFO - Epoch(train) [7][1580/2505] lr: 2.3000e-04 eta: 1 day, 12:28:04 time: 1.1245 data_time: 0.0299 memory: 32703 grad_norm: 27.4685 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6336 loss: 1.6336 2022/07/29 18:35:56 - mmengine - INFO - Epoch(train) [7][1600/2505] lr: 2.3000e-04 eta: 1 day, 12:27:22 time: 0.8823 data_time: 0.0282 memory: 32703 grad_norm: 27.8301 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7352 loss: 1.7352 2022/07/29 18:36:19 - mmengine - INFO - Epoch(train) [7][1620/2505] lr: 2.3000e-04 eta: 1 day, 12:27:22 time: 1.1499 data_time: 0.0334 memory: 32703 grad_norm: 26.7454 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6032 loss: 1.6032 2022/07/29 18:36:35 - mmengine - INFO - Epoch(train) [7][1640/2505] lr: 2.3000e-04 eta: 1 day, 12:26:23 time: 0.7721 data_time: 0.0277 memory: 32703 grad_norm: 27.6261 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7756 loss: 1.7756 2022/07/29 18:36:56 - mmengine - INFO - Epoch(train) [7][1660/2505] lr: 2.3000e-04 eta: 1 day, 12:26:14 time: 1.0896 data_time: 0.0322 memory: 32703 grad_norm: 27.8297 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4995 loss: 1.4995 2022/07/29 18:37:12 - mmengine - INFO - Epoch(train) [7][1680/2505] lr: 2.3000e-04 eta: 1 day, 12:25:17 time: 0.7867 data_time: 0.0293 memory: 32703 grad_norm: 26.9744 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5049 loss: 1.5049 2022/07/29 18:37:38 - mmengine - INFO - Epoch(train) [7][1700/2505] lr: 2.3000e-04 eta: 1 day, 12:25:36 time: 1.2753 data_time: 0.0843 memory: 32703 grad_norm: 28.5830 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5380 loss: 1.5380 2022/07/29 18:37:56 - mmengine - INFO - Epoch(train) [7][1720/2505] lr: 2.3000e-04 eta: 1 day, 12:25:03 time: 0.9361 data_time: 0.0286 memory: 32703 grad_norm: 28.2334 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8457 loss: 1.8457 2022/07/29 18:38:18 - mmengine - INFO - Epoch(train) [7][1740/2505] lr: 2.3000e-04 eta: 1 day, 12:24:55 time: 1.0983 data_time: 0.0299 memory: 32703 grad_norm: 28.7087 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7033 loss: 1.7033 2022/07/29 18:38:37 - mmengine - INFO - Epoch(train) [7][1760/2505] lr: 2.3000e-04 eta: 1 day, 12:24:17 time: 0.9080 data_time: 0.0294 memory: 32703 grad_norm: 26.6505 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5821 loss: 1.5821 2022/07/29 18:38:57 - mmengine - INFO - Epoch(train) [7][1780/2505] lr: 2.3000e-04 eta: 1 day, 12:23:58 time: 1.0322 data_time: 0.0376 memory: 32703 grad_norm: 28.5635 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7282 loss: 1.7282 2022/07/29 18:39:15 - mmengine - INFO - Epoch(train) [7][1800/2505] lr: 2.3000e-04 eta: 1 day, 12:23:20 time: 0.9050 data_time: 0.0294 memory: 32703 grad_norm: 27.2471 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5266 loss: 1.5266 2022/07/29 18:39:36 - mmengine - INFO - Epoch(train) [7][1820/2505] lr: 2.3000e-04 eta: 1 day, 12:23:04 time: 1.0459 data_time: 0.0280 memory: 32703 grad_norm: 28.1438 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4354 loss: 1.4354 2022/07/29 18:39:53 - mmengine - INFO - Epoch(train) [7][1840/2505] lr: 2.3000e-04 eta: 1 day, 12:22:19 time: 0.8544 data_time: 0.0311 memory: 32703 grad_norm: 26.6786 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6403 loss: 1.6403 2022/07/29 18:40:16 - mmengine - INFO - Epoch(train) [7][1860/2505] lr: 2.3000e-04 eta: 1 day, 12:22:14 time: 1.1217 data_time: 0.0289 memory: 32703 grad_norm: 28.1052 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5132 loss: 1.5132 2022/07/29 18:40:34 - mmengine - INFO - Epoch(train) [7][1880/2505] lr: 2.3000e-04 eta: 1 day, 12:21:36 time: 0.9031 data_time: 0.0341 memory: 32703 grad_norm: 27.9739 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7044 loss: 1.7044 2022/07/29 18:40:55 - mmengine - INFO - Epoch(train) [7][1900/2505] lr: 2.3000e-04 eta: 1 day, 12:21:24 time: 1.0754 data_time: 0.0241 memory: 32703 grad_norm: 28.1227 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8063 loss: 1.8063 2022/07/29 18:41:13 - mmengine - INFO - Epoch(train) [7][1920/2505] lr: 2.3000e-04 eta: 1 day, 12:20:46 time: 0.9048 data_time: 0.0292 memory: 32703 grad_norm: 27.5678 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6705 loss: 1.6705 2022/07/29 18:41:35 - mmengine - INFO - Epoch(train) [7][1940/2505] lr: 2.3000e-04 eta: 1 day, 12:20:35 time: 1.0845 data_time: 0.0290 memory: 32703 grad_norm: 27.3159 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8503 loss: 1.8503 2022/07/29 18:41:53 - mmengine - INFO - Epoch(train) [7][1960/2505] lr: 2.3000e-04 eta: 1 day, 12:19:53 time: 0.8780 data_time: 0.0276 memory: 32703 grad_norm: 26.1838 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6892 loss: 1.6892 2022/07/29 18:42:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 18:42:14 - mmengine - INFO - Epoch(train) [7][1980/2505] lr: 2.3000e-04 eta: 1 day, 12:19:42 time: 1.0776 data_time: 0.0276 memory: 32703 grad_norm: 28.3306 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8035 loss: 1.8035 2022/07/29 18:42:32 - mmengine - INFO - Epoch(train) [7][2000/2505] lr: 2.3000e-04 eta: 1 day, 12:19:05 time: 0.9073 data_time: 0.0299 memory: 32703 grad_norm: 26.9188 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5443 loss: 1.5443 2022/07/29 18:42:53 - mmengine - INFO - Epoch(train) [7][2020/2505] lr: 2.3000e-04 eta: 1 day, 12:18:46 time: 1.0328 data_time: 0.0302 memory: 32703 grad_norm: 26.7592 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4981 loss: 1.4981 2022/07/29 18:43:12 - mmengine - INFO - Epoch(train) [7][2040/2505] lr: 2.3000e-04 eta: 1 day, 12:18:13 time: 0.9318 data_time: 0.0310 memory: 32703 grad_norm: 27.8112 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9467 loss: 1.9467 2022/07/29 18:43:32 - mmengine - INFO - Epoch(train) [7][2060/2505] lr: 2.3000e-04 eta: 1 day, 12:17:50 time: 1.0072 data_time: 0.0299 memory: 32703 grad_norm: 27.7316 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.9635 loss: 1.9635 2022/07/29 18:43:51 - mmengine - INFO - Epoch(train) [7][2080/2505] lr: 2.3000e-04 eta: 1 day, 12:17:20 time: 0.9532 data_time: 0.0310 memory: 32703 grad_norm: 29.0621 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5338 loss: 1.5338 2022/07/29 18:44:11 - mmengine - INFO - Epoch(train) [7][2100/2505] lr: 2.3000e-04 eta: 1 day, 12:16:58 time: 1.0046 data_time: 0.0289 memory: 32703 grad_norm: 27.2103 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8405 loss: 1.8405 2022/07/29 18:44:32 - mmengine - INFO - Epoch(train) [7][2120/2505] lr: 2.3000e-04 eta: 1 day, 12:16:46 time: 1.0759 data_time: 0.0304 memory: 32703 grad_norm: 26.0845 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9767 loss: 1.9767 2022/07/29 18:44:50 - mmengine - INFO - Epoch(train) [7][2140/2505] lr: 2.3000e-04 eta: 1 day, 12:16:06 time: 0.8866 data_time: 0.0405 memory: 32703 grad_norm: 29.2768 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7579 loss: 1.7579 2022/07/29 18:45:09 - mmengine - INFO - Epoch(train) [7][2160/2505] lr: 2.3000e-04 eta: 1 day, 12:15:36 time: 0.9589 data_time: 0.0296 memory: 32703 grad_norm: 27.2907 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5722 loss: 1.5722 2022/07/29 18:45:36 - mmengine - INFO - Epoch(train) [7][2180/2505] lr: 2.3000e-04 eta: 1 day, 12:16:00 time: 1.3184 data_time: 0.3343 memory: 32703 grad_norm: 27.8172 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7715 loss: 1.7715 2022/07/29 18:45:54 - mmengine - INFO - Epoch(train) [7][2200/2505] lr: 2.3000e-04 eta: 1 day, 12:15:27 time: 0.9342 data_time: 0.0329 memory: 32703 grad_norm: 28.2173 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5315 loss: 1.5315 2022/07/29 18:46:17 - mmengine - INFO - Epoch(train) [7][2220/2505] lr: 2.3000e-04 eta: 1 day, 12:15:23 time: 1.1248 data_time: 0.0282 memory: 32703 grad_norm: 28.3033 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.6929 loss: 1.6929 2022/07/29 18:46:34 - mmengine - INFO - Epoch(train) [7][2240/2505] lr: 2.3000e-04 eta: 1 day, 12:14:36 time: 0.8433 data_time: 0.0329 memory: 32703 grad_norm: 27.6434 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6349 loss: 1.6349 2022/07/29 18:46:54 - mmengine - INFO - Epoch(train) [7][2260/2505] lr: 2.3000e-04 eta: 1 day, 12:14:17 time: 1.0307 data_time: 0.0283 memory: 32703 grad_norm: 27.0255 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8509 loss: 1.8509 2022/07/29 18:47:12 - mmengine - INFO - Epoch(train) [7][2280/2505] lr: 2.3000e-04 eta: 1 day, 12:13:34 time: 0.8629 data_time: 0.0292 memory: 32703 grad_norm: 28.9208 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6345 loss: 1.6345 2022/07/29 18:47:36 - mmengine - INFO - Epoch(train) [7][2300/2505] lr: 2.3000e-04 eta: 1 day, 12:13:41 time: 1.2081 data_time: 0.0944 memory: 32703 grad_norm: 26.7650 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7091 loss: 1.7091 2022/07/29 18:47:54 - mmengine - INFO - Epoch(train) [7][2320/2505] lr: 2.3000e-04 eta: 1 day, 12:13:02 time: 0.8900 data_time: 0.0420 memory: 32703 grad_norm: 27.8238 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5542 loss: 1.5542 2022/07/29 18:48:14 - mmengine - INFO - Epoch(train) [7][2340/2505] lr: 2.3000e-04 eta: 1 day, 12:12:42 time: 1.0233 data_time: 0.0270 memory: 32703 grad_norm: 27.5123 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6594 loss: 1.6594 2022/07/29 18:48:33 - mmengine - INFO - Epoch(train) [7][2360/2505] lr: 2.3000e-04 eta: 1 day, 12:12:08 time: 0.9238 data_time: 0.1640 memory: 32703 grad_norm: 27.5221 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6590 loss: 1.6590 2022/07/29 18:48:55 - mmengine - INFO - Epoch(train) [7][2380/2505] lr: 2.3000e-04 eta: 1 day, 12:12:03 time: 1.1249 data_time: 0.0729 memory: 32703 grad_norm: 26.4386 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4448 loss: 1.4448 2022/07/29 18:49:12 - mmengine - INFO - Epoch(train) [7][2400/2505] lr: 2.3000e-04 eta: 1 day, 12:11:21 time: 0.8699 data_time: 0.0350 memory: 32703 grad_norm: 26.7795 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6787 loss: 1.6787 2022/07/29 18:49:33 - mmengine - INFO - Epoch(train) [7][2420/2505] lr: 2.3000e-04 eta: 1 day, 12:11:04 time: 1.0459 data_time: 0.0297 memory: 32703 grad_norm: 27.7384 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5292 loss: 1.5292 2022/07/29 18:49:52 - mmengine - INFO - Epoch(train) [7][2440/2505] lr: 2.3000e-04 eta: 1 day, 12:10:33 time: 0.9412 data_time: 0.0349 memory: 32703 grad_norm: 26.9694 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5269 loss: 1.5269 2022/07/29 18:50:13 - mmengine - INFO - Epoch(train) [7][2460/2505] lr: 2.3000e-04 eta: 1 day, 12:10:19 time: 1.0625 data_time: 0.0296 memory: 32703 grad_norm: 26.8172 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5743 loss: 1.5743 2022/07/29 18:50:34 - mmengine - INFO - Epoch(train) [7][2480/2505] lr: 2.3000e-04 eta: 1 day, 12:10:01 time: 1.0391 data_time: 0.0310 memory: 32703 grad_norm: 26.0823 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8312 loss: 1.8312 2022/07/29 18:50:52 - mmengine - INFO - Epoch(train) [7][2500/2505] lr: 2.3000e-04 eta: 1 day, 12:09:24 time: 0.9073 data_time: 0.0284 memory: 32703 grad_norm: 27.3302 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6119 loss: 1.6119 2022/07/29 18:50:55 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 18:50:55 - mmengine - INFO - Epoch(train) [7][2505/2505] lr: 2.3000e-04 eta: 1 day, 12:09:24 time: 0.7165 data_time: 0.0219 memory: 32703 grad_norm: 26.8516 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6548 loss: 1.6548 2022/07/29 18:51:22 - mmengine - INFO - Epoch(train) [8][20/2505] lr: 2.6000e-04 eta: 1 day, 12:09:10 time: 1.3463 data_time: 0.5267 memory: 32703 grad_norm: 27.6205 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8150 loss: 1.8150 2022/07/29 18:51:41 - mmengine - INFO - Epoch(train) [8][40/2505] lr: 2.6000e-04 eta: 1 day, 12:08:38 time: 0.9450 data_time: 0.0824 memory: 32703 grad_norm: 27.7593 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7549 loss: 1.7549 2022/07/29 18:52:02 - mmengine - INFO - Epoch(train) [8][60/2505] lr: 2.6000e-04 eta: 1 day, 12:08:22 time: 1.0495 data_time: 0.0357 memory: 32703 grad_norm: 27.5926 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6311 loss: 1.6311 2022/07/29 18:52:20 - mmengine - INFO - Epoch(train) [8][80/2505] lr: 2.6000e-04 eta: 1 day, 12:07:46 time: 0.9048 data_time: 0.0391 memory: 32703 grad_norm: 27.7827 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.6003 loss: 1.6003 2022/07/29 18:52:43 - mmengine - INFO - Epoch(train) [8][100/2505] lr: 2.6000e-04 eta: 1 day, 12:07:41 time: 1.1275 data_time: 0.0312 memory: 32703 grad_norm: 27.3705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8594 loss: 1.8594 2022/07/29 18:53:00 - mmengine - INFO - Epoch(train) [8][120/2505] lr: 2.6000e-04 eta: 1 day, 12:06:58 time: 0.8654 data_time: 0.0299 memory: 32703 grad_norm: 27.6912 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.6724 loss: 1.6724 2022/07/29 18:53:21 - mmengine - INFO - Epoch(train) [8][140/2505] lr: 2.6000e-04 eta: 1 day, 12:06:44 time: 1.0573 data_time: 0.0533 memory: 32703 grad_norm: 27.3276 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6358 loss: 1.6358 2022/07/29 18:53:40 - mmengine - INFO - Epoch(train) [8][160/2505] lr: 2.6000e-04 eta: 1 day, 12:06:14 time: 0.9551 data_time: 0.0494 memory: 32703 grad_norm: 26.3023 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7412 loss: 1.7412 2022/07/29 18:54:02 - mmengine - INFO - Epoch(train) [8][180/2505] lr: 2.6000e-04 eta: 1 day, 12:06:02 time: 1.0753 data_time: 0.0288 memory: 32703 grad_norm: 27.2480 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7888 loss: 1.7888 2022/07/29 18:54:22 - mmengine - INFO - Epoch(train) [8][200/2505] lr: 2.6000e-04 eta: 1 day, 12:05:38 time: 0.9951 data_time: 0.0280 memory: 32703 grad_norm: 25.9520 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.6104 loss: 1.6104 2022/07/29 18:54:40 - mmengine - INFO - Epoch(train) [8][220/2505] lr: 2.6000e-04 eta: 1 day, 12:05:07 time: 0.9425 data_time: 0.0287 memory: 32703 grad_norm: 29.7073 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8843 loss: 1.8843 2022/07/29 18:54:59 - mmengine - INFO - Epoch(train) [8][240/2505] lr: 2.6000e-04 eta: 1 day, 12:04:32 time: 0.9167 data_time: 0.0301 memory: 32703 grad_norm: 27.4825 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7160 loss: 1.7160 2022/07/29 18:55:21 - mmengine - INFO - Epoch(train) [8][260/2505] lr: 2.6000e-04 eta: 1 day, 12:04:22 time: 1.0915 data_time: 0.0295 memory: 32703 grad_norm: 25.8327 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4610 loss: 1.4610 2022/07/29 18:55:40 - mmengine - INFO - Epoch(train) [8][280/2505] lr: 2.6000e-04 eta: 1 day, 12:03:53 time: 0.9592 data_time: 0.0282 memory: 32703 grad_norm: 26.3190 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7563 loss: 1.7563 2022/07/29 18:56:00 - mmengine - INFO - Epoch(train) [8][300/2505] lr: 2.6000e-04 eta: 1 day, 12:03:31 time: 1.0049 data_time: 0.0284 memory: 32703 grad_norm: 27.0341 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6988 loss: 1.6988 2022/07/29 18:56:18 - mmengine - INFO - Epoch(train) [8][320/2505] lr: 2.6000e-04 eta: 1 day, 12:02:55 time: 0.9135 data_time: 0.0302 memory: 32703 grad_norm: 27.1080 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8908 loss: 1.8908 2022/07/29 18:56:40 - mmengine - INFO - Epoch(train) [8][340/2505] lr: 2.6000e-04 eta: 1 day, 12:02:44 time: 1.0831 data_time: 0.0320 memory: 32703 grad_norm: 27.0062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6389 loss: 1.6389 2022/07/29 18:56:58 - mmengine - INFO - Epoch(train) [8][360/2505] lr: 2.6000e-04 eta: 1 day, 12:02:09 time: 0.9136 data_time: 0.0274 memory: 32703 grad_norm: 26.9156 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9599 loss: 1.9599 2022/07/29 18:57:23 - mmengine - INFO - Epoch(train) [8][380/2505] lr: 2.6000e-04 eta: 1 day, 12:02:20 time: 1.2402 data_time: 0.0293 memory: 32703 grad_norm: 26.8340 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7140 loss: 1.7140 2022/07/29 18:57:39 - mmengine - INFO - Epoch(train) [8][400/2505] lr: 2.6000e-04 eta: 1 day, 12:01:30 time: 0.8067 data_time: 0.0471 memory: 32703 grad_norm: 26.1380 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6591 loss: 1.6591 2022/07/29 18:58:03 - mmengine - INFO - Epoch(train) [8][420/2505] lr: 2.6000e-04 eta: 1 day, 12:01:35 time: 1.1981 data_time: 0.0331 memory: 32703 grad_norm: 26.7729 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6735 loss: 1.6735 2022/07/29 18:58:21 - mmengine - INFO - Epoch(train) [8][440/2505] lr: 2.6000e-04 eta: 1 day, 12:00:54 time: 0.8763 data_time: 0.0659 memory: 32703 grad_norm: 27.0959 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6248 loss: 1.6248 2022/07/29 18:58:40 - mmengine - INFO - Epoch(train) [8][460/2505] lr: 2.6000e-04 eta: 1 day, 12:00:26 time: 0.9641 data_time: 0.0338 memory: 32703 grad_norm: 26.5080 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6291 loss: 1.6291 2022/07/29 18:58:44 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 18:58:59 - mmengine - INFO - Epoch(train) [8][480/2505] lr: 2.6000e-04 eta: 1 day, 11:59:58 time: 0.9659 data_time: 0.0317 memory: 32703 grad_norm: 27.5265 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6538 loss: 1.6538 2022/07/29 18:59:21 - mmengine - INFO - Epoch(train) [8][500/2505] lr: 2.6000e-04 eta: 1 day, 11:59:48 time: 1.0858 data_time: 0.0288 memory: 32703 grad_norm: 28.1582 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7508 loss: 1.7508 2022/07/29 18:59:39 - mmengine - INFO - Epoch(train) [8][520/2505] lr: 2.6000e-04 eta: 1 day, 11:59:14 time: 0.9247 data_time: 0.0298 memory: 32703 grad_norm: 27.4785 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5993 loss: 1.5993 2022/07/29 19:00:02 - mmengine - INFO - Epoch(train) [8][540/2505] lr: 2.6000e-04 eta: 1 day, 11:59:09 time: 1.1295 data_time: 0.0360 memory: 32703 grad_norm: 27.5919 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5988 loss: 1.5988 2022/07/29 19:00:19 - mmengine - INFO - Epoch(train) [8][560/2505] lr: 2.6000e-04 eta: 1 day, 11:58:28 time: 0.8719 data_time: 0.0354 memory: 32703 grad_norm: 26.8717 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8379 loss: 1.8379 2022/07/29 19:00:41 - mmengine - INFO - Epoch(train) [8][580/2505] lr: 2.6000e-04 eta: 1 day, 11:58:15 time: 1.0702 data_time: 0.0285 memory: 32703 grad_norm: 27.4747 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7566 loss: 1.7566 2022/07/29 19:00:59 - mmengine - INFO - Epoch(train) [8][600/2505] lr: 2.6000e-04 eta: 1 day, 11:57:40 time: 0.9108 data_time: 0.0281 memory: 32703 grad_norm: 28.1965 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6422 loss: 1.6422 2022/07/29 19:01:20 - mmengine - INFO - Epoch(train) [8][620/2505] lr: 2.6000e-04 eta: 1 day, 11:57:25 time: 1.0570 data_time: 0.0268 memory: 32703 grad_norm: 27.6548 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6673 loss: 1.6673 2022/07/29 19:01:39 - mmengine - INFO - Epoch(train) [8][640/2505] lr: 2.6000e-04 eta: 1 day, 11:56:51 time: 0.9242 data_time: 0.0302 memory: 32703 grad_norm: 27.8435 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9912 loss: 1.9912 2022/07/29 19:01:58 - mmengine - INFO - Epoch(train) [8][660/2505] lr: 2.6000e-04 eta: 1 day, 11:56:23 time: 0.9627 data_time: 0.0271 memory: 32703 grad_norm: 26.4638 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4847 loss: 1.4847 2022/07/29 19:02:16 - mmengine - INFO - Epoch(train) [8][680/2505] lr: 2.6000e-04 eta: 1 day, 11:55:45 time: 0.8871 data_time: 0.0259 memory: 32703 grad_norm: 27.7066 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.6398 loss: 1.6398 2022/07/29 19:02:36 - mmengine - INFO - Epoch(train) [8][700/2505] lr: 2.6000e-04 eta: 1 day, 11:55:25 time: 1.0216 data_time: 0.0269 memory: 32703 grad_norm: 26.3132 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7406 loss: 1.7406 2022/07/29 19:02:55 - mmengine - INFO - Epoch(train) [8][720/2505] lr: 2.6000e-04 eta: 1 day, 11:54:55 time: 0.9489 data_time: 0.0305 memory: 32703 grad_norm: 27.2493 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7151 loss: 1.7151 2022/07/29 19:03:16 - mmengine - INFO - Epoch(train) [8][740/2505] lr: 2.6000e-04 eta: 1 day, 11:54:36 time: 1.0277 data_time: 0.0308 memory: 32703 grad_norm: 26.6149 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7487 loss: 1.7487 2022/07/29 19:03:33 - mmengine - INFO - Epoch(train) [8][760/2505] lr: 2.6000e-04 eta: 1 day, 11:53:58 time: 0.8919 data_time: 0.0290 memory: 32703 grad_norm: 26.9522 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6850 loss: 1.6850 2022/07/29 19:03:54 - mmengine - INFO - Epoch(train) [8][780/2505] lr: 2.6000e-04 eta: 1 day, 11:53:41 time: 1.0379 data_time: 0.0300 memory: 32703 grad_norm: 26.8315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8837 loss: 1.8837 2022/07/29 19:04:13 - mmengine - INFO - Epoch(train) [8][800/2505] lr: 2.6000e-04 eta: 1 day, 11:53:09 time: 0.9371 data_time: 0.1163 memory: 32703 grad_norm: 28.1932 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6331 loss: 1.6331 2022/07/29 19:04:33 - mmengine - INFO - Epoch(train) [8][820/2505] lr: 2.6000e-04 eta: 1 day, 11:52:49 time: 1.0175 data_time: 0.1289 memory: 32703 grad_norm: 28.0850 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4093 loss: 1.4093 2022/07/29 19:04:51 - mmengine - INFO - Epoch(train) [8][840/2505] lr: 2.6000e-04 eta: 1 day, 11:52:13 time: 0.9071 data_time: 0.1332 memory: 32703 grad_norm: 26.6589 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7267 loss: 1.7267 2022/07/29 19:05:12 - mmengine - INFO - Epoch(train) [8][860/2505] lr: 2.6000e-04 eta: 1 day, 11:51:54 time: 1.0273 data_time: 0.1603 memory: 32703 grad_norm: 27.4528 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8161 loss: 1.8161 2022/07/29 19:05:33 - mmengine - INFO - Epoch(train) [8][880/2505] lr: 2.6000e-04 eta: 1 day, 11:51:37 time: 1.0439 data_time: 0.1312 memory: 32703 grad_norm: 27.6029 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7771 loss: 1.7771 2022/07/29 19:05:51 - mmengine - INFO - Epoch(train) [8][900/2505] lr: 2.6000e-04 eta: 1 day, 11:51:03 time: 0.9182 data_time: 0.0794 memory: 32703 grad_norm: 28.0467 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7506 loss: 1.7506 2022/07/29 19:06:14 - mmengine - INFO - Epoch(train) [8][920/2505] lr: 2.6000e-04 eta: 1 day, 11:50:55 time: 1.1084 data_time: 0.1308 memory: 32703 grad_norm: 27.7914 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6551 loss: 1.6551 2022/07/29 19:06:40 - mmengine - INFO - Epoch(train) [8][940/2505] lr: 2.6000e-04 eta: 1 day, 11:51:17 time: 1.3253 data_time: 0.0484 memory: 32703 grad_norm: 26.7464 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8577 loss: 1.8577 2022/07/29 19:06:59 - mmengine - INFO - Epoch(train) [8][960/2505] lr: 2.6000e-04 eta: 1 day, 11:50:48 time: 0.9534 data_time: 0.0332 memory: 32703 grad_norm: 26.3111 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6522 loss: 1.6522 2022/07/29 19:07:20 - mmengine - INFO - Epoch(train) [8][980/2505] lr: 2.6000e-04 eta: 1 day, 11:50:30 time: 1.0373 data_time: 0.0328 memory: 32703 grad_norm: 26.2042 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6636 loss: 1.6636 2022/07/29 19:07:40 - mmengine - INFO - Epoch(train) [8][1000/2505] lr: 2.6000e-04 eta: 1 day, 11:50:07 time: 0.9937 data_time: 0.0533 memory: 32703 grad_norm: 26.8517 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6014 loss: 1.6014 2022/07/29 19:07:58 - mmengine - INFO - Epoch(train) [8][1020/2505] lr: 2.6000e-04 eta: 1 day, 11:49:35 time: 0.9370 data_time: 0.0275 memory: 32703 grad_norm: 25.7534 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6920 loss: 1.6920 2022/07/29 19:08:19 - mmengine - INFO - Epoch(train) [8][1040/2505] lr: 2.6000e-04 eta: 1 day, 11:49:15 time: 1.0141 data_time: 0.0289 memory: 32703 grad_norm: 27.6213 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8925 loss: 1.8925 2022/07/29 19:08:38 - mmengine - INFO - Epoch(train) [8][1060/2505] lr: 2.6000e-04 eta: 1 day, 11:48:45 time: 0.9471 data_time: 0.0291 memory: 32703 grad_norm: 27.0508 top1_acc: 0.4167 top5_acc: 0.4167 loss_cls: 1.8164 loss: 1.8164 2022/07/29 19:08:58 - mmengine - INFO - Epoch(train) [8][1080/2505] lr: 2.6000e-04 eta: 1 day, 11:48:25 time: 1.0203 data_time: 0.0320 memory: 32703 grad_norm: 27.4033 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5076 loss: 1.5076 2022/07/29 19:09:15 - mmengine - INFO - Epoch(train) [8][1100/2505] lr: 2.6000e-04 eta: 1 day, 11:47:44 time: 0.8655 data_time: 0.0998 memory: 32703 grad_norm: 27.1768 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9938 loss: 1.9938 2022/07/29 19:09:40 - mmengine - INFO - Epoch(train) [8][1120/2505] lr: 2.6000e-04 eta: 1 day, 11:47:51 time: 1.2188 data_time: 0.3336 memory: 32703 grad_norm: 25.3711 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7418 loss: 1.7418 2022/07/29 19:10:01 - mmengine - INFO - Epoch(train) [8][1140/2505] lr: 2.6000e-04 eta: 1 day, 11:47:35 time: 1.0524 data_time: 0.0274 memory: 32703 grad_norm: 26.7188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5711 loss: 1.5711 2022/07/29 19:10:15 - mmengine - INFO - Epoch(train) [8][1160/2505] lr: 2.6000e-04 eta: 1 day, 11:46:36 time: 0.7306 data_time: 0.0324 memory: 32703 grad_norm: 26.9134 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9613 loss: 1.9613 2022/07/29 19:10:34 - mmengine - INFO - Epoch(train) [8][1180/2505] lr: 2.6000e-04 eta: 1 day, 11:46:00 time: 0.9060 data_time: 0.0288 memory: 32703 grad_norm: 25.9270 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7654 loss: 1.7654 2022/07/29 19:10:58 - mmengine - INFO - Epoch(train) [8][1200/2505] lr: 2.6000e-04 eta: 1 day, 11:46:07 time: 1.2202 data_time: 0.0376 memory: 32703 grad_norm: 27.0123 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.4229 loss: 1.4229 2022/07/29 19:11:16 - mmengine - INFO - Epoch(train) [8][1220/2505] lr: 2.6000e-04 eta: 1 day, 11:45:32 time: 0.9069 data_time: 0.0271 memory: 32703 grad_norm: 27.2472 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7840 loss: 1.7840 2022/07/29 19:11:38 - mmengine - INFO - Epoch(train) [8][1240/2505] lr: 2.6000e-04 eta: 1 day, 11:45:23 time: 1.0984 data_time: 0.0264 memory: 32703 grad_norm: 25.9927 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7403 loss: 1.7403 2022/07/29 19:11:56 - mmengine - INFO - Epoch(train) [8][1260/2505] lr: 2.6000e-04 eta: 1 day, 11:44:45 time: 0.8887 data_time: 0.0287 memory: 32703 grad_norm: 26.5987 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7469 loss: 1.7469 2022/07/29 19:12:16 - mmengine - INFO - Epoch(train) [8][1280/2505] lr: 2.6000e-04 eta: 1 day, 11:44:25 time: 1.0182 data_time: 0.0267 memory: 32703 grad_norm: 26.6085 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5070 loss: 1.5070 2022/07/29 19:12:35 - mmengine - INFO - Epoch(train) [8][1300/2505] lr: 2.6000e-04 eta: 1 day, 11:43:54 time: 0.9384 data_time: 0.0345 memory: 32703 grad_norm: 27.8886 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9230 loss: 1.9230 2022/07/29 19:12:56 - mmengine - INFO - Epoch(train) [8][1320/2505] lr: 2.6000e-04 eta: 1 day, 11:43:39 time: 1.0563 data_time: 0.0360 memory: 32703 grad_norm: 27.9880 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8669 loss: 1.8669 2022/07/29 19:13:14 - mmengine - INFO - Epoch(train) [8][1340/2505] lr: 2.6000e-04 eta: 1 day, 11:43:05 time: 0.9167 data_time: 0.0298 memory: 32703 grad_norm: 27.2477 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7567 loss: 1.7567 2022/07/29 19:13:37 - mmengine - INFO - Epoch(train) [8][1360/2505] lr: 2.6000e-04 eta: 1 day, 11:42:59 time: 1.1277 data_time: 0.0328 memory: 32703 grad_norm: 27.0515 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7717 loss: 1.7717 2022/07/29 19:14:03 - mmengine - INFO - Epoch(train) [8][1380/2505] lr: 2.6000e-04 eta: 1 day, 11:43:17 time: 1.2985 data_time: 0.1627 memory: 32703 grad_norm: 26.2226 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4851 loss: 1.4851 2022/07/29 19:14:22 - mmengine - INFO - Epoch(train) [8][1400/2505] lr: 2.6000e-04 eta: 1 day, 11:42:48 time: 0.9529 data_time: 0.0655 memory: 32703 grad_norm: 26.1500 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8892 loss: 1.8892 2022/07/29 19:14:40 - mmengine - INFO - Epoch(train) [8][1420/2505] lr: 2.6000e-04 eta: 1 day, 11:42:13 time: 0.9096 data_time: 0.0286 memory: 32703 grad_norm: 26.4853 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5924 loss: 1.5924 2022/07/29 19:15:00 - mmengine - INFO - Epoch(train) [8][1440/2505] lr: 2.6000e-04 eta: 1 day, 11:41:52 time: 1.0130 data_time: 0.0280 memory: 32703 grad_norm: 27.1599 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5829 loss: 1.5829 2022/07/29 19:15:20 - mmengine - INFO - Epoch(train) [8][1460/2505] lr: 2.6000e-04 eta: 1 day, 11:41:25 time: 0.9698 data_time: 0.0273 memory: 32703 grad_norm: 26.4322 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4956 loss: 1.4956 2022/07/29 19:15:25 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 19:15:40 - mmengine - INFO - Epoch(train) [8][1480/2505] lr: 2.6000e-04 eta: 1 day, 11:41:01 time: 0.9865 data_time: 0.0282 memory: 32703 grad_norm: 26.9830 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5324 loss: 1.5324 2022/07/29 19:16:05 - mmengine - INFO - Epoch(train) [8][1500/2505] lr: 2.6000e-04 eta: 1 day, 11:41:15 time: 1.2746 data_time: 0.0269 memory: 32703 grad_norm: 26.5581 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6678 loss: 1.6678 2022/07/29 19:16:23 - mmengine - INFO - Epoch(train) [8][1520/2505] lr: 2.6000e-04 eta: 1 day, 11:40:39 time: 0.9052 data_time: 0.0268 memory: 32703 grad_norm: 25.7757 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6698 loss: 1.6698 2022/07/29 19:16:43 - mmengine - INFO - Epoch(train) [8][1540/2505] lr: 2.6000e-04 eta: 1 day, 11:40:17 time: 1.0048 data_time: 0.0248 memory: 32703 grad_norm: 27.0757 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5990 loss: 1.5990 2022/07/29 19:17:05 - mmengine - INFO - Epoch(train) [8][1560/2505] lr: 2.6000e-04 eta: 1 day, 11:40:06 time: 1.0885 data_time: 0.0289 memory: 32703 grad_norm: 27.3287 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8966 loss: 1.8966 2022/07/29 19:17:26 - mmengine - INFO - Epoch(train) [8][1580/2505] lr: 2.6000e-04 eta: 1 day, 11:39:47 time: 1.0280 data_time: 0.0316 memory: 32703 grad_norm: 25.2031 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.7099 loss: 1.7099 2022/07/29 19:17:44 - mmengine - INFO - Epoch(train) [8][1600/2505] lr: 2.6000e-04 eta: 1 day, 11:39:12 time: 0.9029 data_time: 0.0311 memory: 32703 grad_norm: 25.5887 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.7787 loss: 1.7787 2022/07/29 19:18:05 - mmengine - INFO - Epoch(train) [8][1620/2505] lr: 2.6000e-04 eta: 1 day, 11:38:58 time: 1.0627 data_time: 0.0255 memory: 32703 grad_norm: 26.6009 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5842 loss: 1.5842 2022/07/29 19:18:24 - mmengine - INFO - Epoch(train) [8][1640/2505] lr: 2.6000e-04 eta: 1 day, 11:38:28 time: 0.9484 data_time: 0.0262 memory: 32703 grad_norm: 25.4367 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9880 loss: 1.9880 2022/07/29 19:18:43 - mmengine - INFO - Epoch(train) [8][1660/2505] lr: 2.6000e-04 eta: 1 day, 11:38:00 time: 0.9614 data_time: 0.0262 memory: 32703 grad_norm: 25.7531 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8586 loss: 1.8586 2022/07/29 19:19:02 - mmengine - INFO - Epoch(train) [8][1680/2505] lr: 2.6000e-04 eta: 1 day, 11:37:31 time: 0.9462 data_time: 0.0287 memory: 32703 grad_norm: 27.1271 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7649 loss: 1.7649 2022/07/29 19:19:23 - mmengine - INFO - Epoch(train) [8][1700/2505] lr: 2.6000e-04 eta: 1 day, 11:37:18 time: 1.0732 data_time: 0.0296 memory: 32703 grad_norm: 25.6532 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7387 loss: 1.7387 2022/07/29 19:19:44 - mmengine - INFO - Epoch(train) [8][1720/2505] lr: 2.6000e-04 eta: 1 day, 11:36:59 time: 1.0324 data_time: 0.0282 memory: 32703 grad_norm: 25.9105 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5995 loss: 1.5995 2022/07/29 19:20:08 - mmengine - INFO - Epoch(train) [8][1740/2505] lr: 2.6000e-04 eta: 1 day, 11:36:59 time: 1.1679 data_time: 0.1214 memory: 32703 grad_norm: 25.9114 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6178 loss: 1.6178 2022/07/29 19:20:27 - mmengine - INFO - Epoch(train) [8][1760/2505] lr: 2.6000e-04 eta: 1 day, 11:36:35 time: 0.9903 data_time: 0.0305 memory: 32703 grad_norm: 26.3619 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6809 loss: 1.6809 2022/07/29 19:20:45 - mmengine - INFO - Epoch(train) [8][1780/2505] lr: 2.6000e-04 eta: 1 day, 11:35:57 time: 0.8872 data_time: 0.0313 memory: 32703 grad_norm: 25.8208 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4207 loss: 1.4207 2022/07/29 19:21:09 - mmengine - INFO - Epoch(train) [8][1800/2505] lr: 2.6000e-04 eta: 1 day, 11:35:58 time: 1.1792 data_time: 0.0319 memory: 32703 grad_norm: 26.8825 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5671 loss: 1.5671 2022/07/29 19:21:31 - mmengine - INFO - Epoch(train) [8][1820/2505] lr: 2.6000e-04 eta: 1 day, 11:35:53 time: 1.1369 data_time: 0.0470 memory: 32703 grad_norm: 26.1946 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7755 loss: 1.7755 2022/07/29 19:21:49 - mmengine - INFO - Epoch(train) [8][1840/2505] lr: 2.6000e-04 eta: 1 day, 11:35:12 time: 0.8583 data_time: 0.0667 memory: 32703 grad_norm: 26.0769 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5506 loss: 1.5506 2022/07/29 19:22:11 - mmengine - INFO - Epoch(train) [8][1860/2505] lr: 2.6000e-04 eta: 1 day, 11:35:04 time: 1.1092 data_time: 0.0319 memory: 32703 grad_norm: 26.3481 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7910 loss: 1.7910 2022/07/29 19:22:30 - mmengine - INFO - Epoch(train) [8][1880/2505] lr: 2.6000e-04 eta: 1 day, 11:34:37 time: 0.9648 data_time: 0.0316 memory: 32703 grad_norm: 26.8417 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7577 loss: 1.7577 2022/07/29 19:22:52 - mmengine - INFO - Epoch(train) [8][1900/2505] lr: 2.6000e-04 eta: 1 day, 11:34:25 time: 1.0832 data_time: 0.1212 memory: 32703 grad_norm: 25.9719 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8285 loss: 1.8285 2022/07/29 19:23:10 - mmengine - INFO - Epoch(train) [8][1920/2505] lr: 2.6000e-04 eta: 1 day, 11:33:50 time: 0.9073 data_time: 0.0548 memory: 32703 grad_norm: 26.4401 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8298 loss: 1.8298 2022/07/29 19:23:29 - mmengine - INFO - Epoch(train) [8][1940/2505] lr: 2.6000e-04 eta: 1 day, 11:33:22 time: 0.9597 data_time: 0.0661 memory: 32703 grad_norm: 26.8941 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4780 loss: 1.4780 2022/07/29 19:23:48 - mmengine - INFO - Epoch(train) [8][1960/2505] lr: 2.6000e-04 eta: 1 day, 11:32:51 time: 0.9285 data_time: 0.1335 memory: 32703 grad_norm: 27.7252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6598 loss: 1.6598 2022/07/29 19:24:08 - mmengine - INFO - Epoch(train) [8][1980/2505] lr: 2.6000e-04 eta: 1 day, 11:32:30 time: 1.0165 data_time: 0.1192 memory: 32703 grad_norm: 28.8157 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7829 loss: 1.7829 2022/07/29 19:24:27 - mmengine - INFO - Epoch(train) [8][2000/2505] lr: 2.6000e-04 eta: 1 day, 11:32:03 time: 0.9642 data_time: 0.1116 memory: 32703 grad_norm: 26.1851 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6319 loss: 1.6319 2022/07/29 19:24:47 - mmengine - INFO - Epoch(train) [8][2020/2505] lr: 2.6000e-04 eta: 1 day, 11:31:40 time: 0.9965 data_time: 0.0787 memory: 32703 grad_norm: 25.6420 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4953 loss: 1.4953 2022/07/29 19:25:07 - mmengine - INFO - Epoch(train) [8][2040/2505] lr: 2.6000e-04 eta: 1 day, 11:31:17 time: 0.9937 data_time: 0.1329 memory: 32703 grad_norm: 25.8390 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6400 loss: 1.6400 2022/07/29 19:25:27 - mmengine - INFO - Epoch(train) [8][2060/2505] lr: 2.6000e-04 eta: 1 day, 11:30:56 time: 1.0147 data_time: 0.1168 memory: 32703 grad_norm: 25.6173 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5170 loss: 1.5170 2022/07/29 19:25:47 - mmengine - INFO - Epoch(train) [8][2080/2505] lr: 2.6000e-04 eta: 1 day, 11:30:31 time: 0.9806 data_time: 0.0285 memory: 32703 grad_norm: 26.9203 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6577 loss: 1.6577 2022/07/29 19:26:07 - mmengine - INFO - Epoch(train) [8][2100/2505] lr: 2.6000e-04 eta: 1 day, 11:30:07 time: 0.9913 data_time: 0.0959 memory: 32703 grad_norm: 25.4917 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7700 loss: 1.7700 2022/07/29 19:26:25 - mmengine - INFO - Epoch(train) [8][2120/2505] lr: 2.6000e-04 eta: 1 day, 11:29:36 time: 0.9303 data_time: 0.0900 memory: 32703 grad_norm: 26.3528 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7549 loss: 1.7549 2022/07/29 19:26:46 - mmengine - INFO - Epoch(train) [8][2140/2505] lr: 2.6000e-04 eta: 1 day, 11:29:18 time: 1.0351 data_time: 0.1438 memory: 32703 grad_norm: 27.2224 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6304 loss: 1.6304 2022/07/29 19:27:08 - mmengine - INFO - Epoch(train) [8][2160/2505] lr: 2.6000e-04 eta: 1 day, 11:29:09 time: 1.1084 data_time: 0.2386 memory: 32703 grad_norm: 26.3262 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7011 loss: 1.7011 2022/07/29 19:27:29 - mmengine - INFO - Epoch(train) [8][2180/2505] lr: 2.6000e-04 eta: 1 day, 11:28:52 time: 1.0390 data_time: 0.0307 memory: 32703 grad_norm: 25.7884 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5827 loss: 1.5827 2022/07/29 19:27:52 - mmengine - INFO - Epoch(train) [8][2200/2505] lr: 2.6000e-04 eta: 1 day, 11:28:45 time: 1.1292 data_time: 0.0338 memory: 32703 grad_norm: 26.8782 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7363 loss: 1.7363 2022/07/29 19:28:09 - mmengine - INFO - Epoch(train) [8][2220/2505] lr: 2.6000e-04 eta: 1 day, 11:28:04 time: 0.8500 data_time: 0.0270 memory: 32703 grad_norm: 26.4256 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5453 loss: 1.5453 2022/07/29 19:28:29 - mmengine - INFO - Epoch(train) [8][2240/2505] lr: 2.6000e-04 eta: 1 day, 11:27:46 time: 1.0341 data_time: 0.0298 memory: 32703 grad_norm: 26.6230 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0127 loss: 2.0127 2022/07/29 19:28:48 - mmengine - INFO - Epoch(train) [8][2260/2505] lr: 2.6000e-04 eta: 1 day, 11:27:14 time: 0.9264 data_time: 0.0274 memory: 32703 grad_norm: 27.0701 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5618 loss: 1.5618 2022/07/29 19:29:13 - mmengine - INFO - Epoch(train) [8][2280/2505] lr: 2.6000e-04 eta: 1 day, 11:27:22 time: 1.2398 data_time: 0.0274 memory: 32703 grad_norm: 26.6938 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6871 loss: 1.6871 2022/07/29 19:29:38 - mmengine - INFO - Epoch(train) [8][2300/2505] lr: 2.6000e-04 eta: 1 day, 11:27:31 time: 1.2549 data_time: 0.0570 memory: 32703 grad_norm: 25.8110 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7351 loss: 1.7351 2022/07/29 19:29:58 - mmengine - INFO - Epoch(train) [8][2320/2505] lr: 2.6000e-04 eta: 1 day, 11:27:10 time: 1.0128 data_time: 0.2921 memory: 32703 grad_norm: 25.9955 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.8152 loss: 1.8152 2022/07/29 19:30:18 - mmengine - INFO - Epoch(train) [8][2340/2505] lr: 2.6000e-04 eta: 1 day, 11:26:47 time: 0.9950 data_time: 0.3519 memory: 32703 grad_norm: 24.7393 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9284 loss: 1.9284 2022/07/29 19:30:40 - mmengine - INFO - Epoch(train) [8][2360/2505] lr: 2.6000e-04 eta: 1 day, 11:26:40 time: 1.1227 data_time: 0.0721 memory: 32703 grad_norm: 25.6249 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7878 loss: 1.7878 2022/07/29 19:31:01 - mmengine - INFO - Epoch(train) [8][2380/2505] lr: 2.6000e-04 eta: 1 day, 11:26:20 time: 1.0188 data_time: 0.0304 memory: 32703 grad_norm: 26.6656 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6925 loss: 1.6925 2022/07/29 19:31:25 - mmengine - INFO - Epoch(train) [8][2400/2505] lr: 2.6000e-04 eta: 1 day, 11:26:24 time: 1.2119 data_time: 0.0762 memory: 32703 grad_norm: 26.5115 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5851 loss: 1.5851 2022/07/29 19:31:43 - mmengine - INFO - Epoch(train) [8][2420/2505] lr: 2.6000e-04 eta: 1 day, 11:25:52 time: 0.9231 data_time: 0.0316 memory: 32703 grad_norm: 25.3600 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6457 loss: 1.6457 2022/07/29 19:32:05 - mmengine - INFO - Epoch(train) [8][2440/2505] lr: 2.6000e-04 eta: 1 day, 11:25:40 time: 1.0864 data_time: 0.0827 memory: 32703 grad_norm: 26.4918 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.7634 loss: 1.7634 2022/07/29 19:32:29 - mmengine - INFO - Epoch(train) [8][2460/2505] lr: 2.6000e-04 eta: 1 day, 11:25:43 time: 1.2061 data_time: 0.0790 memory: 32703 grad_norm: 26.1936 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7069 loss: 1.7069 2022/07/29 19:32:32 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 19:32:48 - mmengine - INFO - Epoch(train) [8][2480/2505] lr: 2.6000e-04 eta: 1 day, 11:25:10 time: 0.9177 data_time: 0.0585 memory: 32703 grad_norm: 26.5741 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7219 loss: 1.7219 2022/07/29 19:33:05 - mmengine - INFO - Epoch(train) [8][2500/2505] lr: 2.6000e-04 eta: 1 day, 11:24:34 time: 0.8910 data_time: 0.0664 memory: 32703 grad_norm: 27.7157 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4806 loss: 1.4806 2022/07/29 19:33:08 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 19:33:08 - mmengine - INFO - Epoch(train) [8][2505/2505] lr: 2.6000e-04 eta: 1 day, 11:24:34 time: 0.8677 data_time: 0.0602 memory: 32703 grad_norm: 27.6407 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.5812 loss: 1.5812 2022/07/29 19:33:08 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/07/29 19:33:38 - mmengine - INFO - Epoch(train) [9][20/2505] lr: 2.9000e-04 eta: 1 day, 11:24:06 time: 1.2506 data_time: 0.6448 memory: 32703 grad_norm: 27.0082 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5902 loss: 1.5902 2022/07/29 19:33:57 - mmengine - INFO - Epoch(train) [9][40/2505] lr: 2.9000e-04 eta: 1 day, 11:23:35 time: 0.9317 data_time: 0.3298 memory: 32703 grad_norm: 25.6288 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5757 loss: 1.5757 2022/07/29 19:34:18 - mmengine - INFO - Epoch(train) [9][60/2505] lr: 2.9000e-04 eta: 1 day, 11:23:21 time: 1.0725 data_time: 0.5003 memory: 32703 grad_norm: 26.7751 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6878 loss: 1.6878 2022/07/29 19:34:37 - mmengine - INFO - Epoch(train) [9][80/2505] lr: 2.9000e-04 eta: 1 day, 11:22:51 time: 0.9349 data_time: 0.3304 memory: 32703 grad_norm: 25.4084 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6025 loss: 1.6025 2022/07/29 19:34:57 - mmengine - INFO - Epoch(train) [9][100/2505] lr: 2.9000e-04 eta: 1 day, 11:22:29 time: 1.0024 data_time: 0.3928 memory: 32703 grad_norm: 26.1551 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6616 loss: 1.6616 2022/07/29 19:35:15 - mmengine - INFO - Epoch(train) [9][120/2505] lr: 2.9000e-04 eta: 1 day, 11:21:53 time: 0.8908 data_time: 0.3100 memory: 32703 grad_norm: 25.9397 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5095 loss: 1.5095 2022/07/29 19:35:36 - mmengine - INFO - Epoch(train) [9][140/2505] lr: 2.9000e-04 eta: 1 day, 11:21:39 time: 1.0743 data_time: 0.4820 memory: 32703 grad_norm: 26.9994 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6386 loss: 1.6386 2022/07/29 19:35:55 - mmengine - INFO - Epoch(train) [9][160/2505] lr: 2.9000e-04 eta: 1 day, 11:21:11 time: 0.9577 data_time: 0.3482 memory: 32703 grad_norm: 26.6138 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7752 loss: 1.7752 2022/07/29 19:36:15 - mmengine - INFO - Epoch(train) [9][180/2505] lr: 2.9000e-04 eta: 1 day, 11:20:50 time: 1.0064 data_time: 0.3881 memory: 32703 grad_norm: 25.9729 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.5535 loss: 1.5535 2022/07/29 19:36:34 - mmengine - INFO - Epoch(train) [9][200/2505] lr: 2.9000e-04 eta: 1 day, 11:20:21 time: 0.9458 data_time: 0.2927 memory: 32703 grad_norm: 26.6400 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6884 loss: 1.6884 2022/07/29 19:36:56 - mmengine - INFO - Epoch(train) [9][220/2505] lr: 2.9000e-04 eta: 1 day, 11:20:06 time: 1.0657 data_time: 0.4152 memory: 32703 grad_norm: 27.6440 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4399 loss: 1.4399 2022/07/29 19:37:16 - mmengine - INFO - Epoch(train) [9][240/2505] lr: 2.9000e-04 eta: 1 day, 11:19:45 time: 1.0124 data_time: 0.4168 memory: 32703 grad_norm: 26.7170 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8101 loss: 1.8101 2022/07/29 19:37:34 - mmengine - INFO - Epoch(train) [9][260/2505] lr: 2.9000e-04 eta: 1 day, 11:19:10 time: 0.8990 data_time: 0.2933 memory: 32703 grad_norm: 26.7628 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6654 loss: 1.6654 2022/07/29 19:37:55 - mmengine - INFO - Epoch(train) [9][280/2505] lr: 2.9000e-04 eta: 1 day, 11:18:57 time: 1.0716 data_time: 0.4631 memory: 32703 grad_norm: 25.2106 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7435 loss: 1.7435 2022/07/29 19:38:15 - mmengine - INFO - Epoch(train) [9][300/2505] lr: 2.9000e-04 eta: 1 day, 11:18:31 time: 0.9743 data_time: 0.3716 memory: 32703 grad_norm: 26.8650 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4695 loss: 1.4695 2022/07/29 19:38:34 - mmengine - INFO - Epoch(train) [9][320/2505] lr: 2.9000e-04 eta: 1 day, 11:18:01 time: 0.9373 data_time: 0.3172 memory: 32703 grad_norm: 25.6251 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8746 loss: 1.8746 2022/07/29 19:38:53 - mmengine - INFO - Epoch(train) [9][340/2505] lr: 2.9000e-04 eta: 1 day, 11:17:37 time: 0.9865 data_time: 0.2883 memory: 32703 grad_norm: 25.0665 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7015 loss: 1.7015 2022/07/29 19:39:14 - mmengine - INFO - Epoch(train) [9][360/2505] lr: 2.9000e-04 eta: 1 day, 11:17:17 time: 1.0226 data_time: 0.1763 memory: 32703 grad_norm: 25.9528 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4798 loss: 1.4798 2022/07/29 19:39:33 - mmengine - INFO - Epoch(train) [9][380/2505] lr: 2.9000e-04 eta: 1 day, 11:16:52 time: 0.9781 data_time: 0.2447 memory: 32703 grad_norm: 25.6975 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6643 loss: 1.6643 2022/07/29 19:39:53 - mmengine - INFO - Epoch(train) [9][400/2505] lr: 2.9000e-04 eta: 1 day, 11:16:28 time: 0.9881 data_time: 0.2270 memory: 32703 grad_norm: 27.3538 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8657 loss: 1.8657 2022/07/29 19:40:13 - mmengine - INFO - Epoch(train) [9][420/2505] lr: 2.9000e-04 eta: 1 day, 11:16:08 time: 1.0198 data_time: 0.2039 memory: 32703 grad_norm: 26.1337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5275 loss: 1.5275 2022/07/29 19:40:31 - mmengine - INFO - Epoch(train) [9][440/2505] lr: 2.9000e-04 eta: 1 day, 11:15:33 time: 0.8950 data_time: 0.0509 memory: 32703 grad_norm: 27.0098 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6706 loss: 1.6706 2022/07/29 19:40:52 - mmengine - INFO - Epoch(train) [9][460/2505] lr: 2.9000e-04 eta: 1 day, 11:15:17 time: 1.0528 data_time: 0.0305 memory: 32703 grad_norm: 26.1626 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8664 loss: 1.8664 2022/07/29 19:41:12 - mmengine - INFO - Epoch(train) [9][480/2505] lr: 2.9000e-04 eta: 1 day, 11:14:54 time: 0.9986 data_time: 0.2641 memory: 32703 grad_norm: 26.7742 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.5551 loss: 1.5551 2022/07/29 19:41:33 - mmengine - INFO - Epoch(train) [9][500/2505] lr: 2.9000e-04 eta: 1 day, 11:14:38 time: 1.0531 data_time: 0.4576 memory: 32703 grad_norm: 25.7416 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5095 loss: 1.5095 2022/07/29 19:41:54 - mmengine - INFO - Epoch(train) [9][520/2505] lr: 2.9000e-04 eta: 1 day, 11:14:22 time: 1.0479 data_time: 0.1367 memory: 32703 grad_norm: 25.4870 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8537 loss: 1.8537 2022/07/29 19:42:14 - mmengine - INFO - Epoch(train) [9][540/2505] lr: 2.9000e-04 eta: 1 day, 11:13:56 time: 0.9730 data_time: 0.1735 memory: 32703 grad_norm: 26.7564 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9023 loss: 1.9023 2022/07/29 19:42:33 - mmengine - INFO - Epoch(train) [9][560/2505] lr: 2.9000e-04 eta: 1 day, 11:13:31 time: 0.9769 data_time: 0.3540 memory: 32703 grad_norm: 26.8690 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6758 loss: 1.6758 2022/07/29 19:42:54 - mmengine - INFO - Epoch(train) [9][580/2505] lr: 2.9000e-04 eta: 1 day, 11:13:15 time: 1.0552 data_time: 0.4580 memory: 32703 grad_norm: 25.4202 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7609 loss: 1.7609 2022/07/29 19:43:12 - mmengine - INFO - Epoch(train) [9][600/2505] lr: 2.9000e-04 eta: 1 day, 11:12:40 time: 0.8983 data_time: 0.2838 memory: 32703 grad_norm: 25.1626 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4728 loss: 1.4728 2022/07/29 19:43:33 - mmengine - INFO - Epoch(train) [9][620/2505] lr: 2.9000e-04 eta: 1 day, 11:12:21 time: 1.0259 data_time: 0.4137 memory: 32703 grad_norm: 25.5050 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5914 loss: 1.5914 2022/07/29 19:43:50 - mmengine - INFO - Epoch(train) [9][640/2505] lr: 2.9000e-04 eta: 1 day, 11:11:41 time: 0.8538 data_time: 0.2629 memory: 32703 grad_norm: 25.0891 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5720 loss: 1.5720 2022/07/29 19:44:11 - mmengine - INFO - Epoch(train) [9][660/2505] lr: 2.9000e-04 eta: 1 day, 11:11:24 time: 1.0458 data_time: 0.4308 memory: 32703 grad_norm: 25.7169 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6372 loss: 1.6372 2022/07/29 19:44:30 - mmengine - INFO - Epoch(train) [9][680/2505] lr: 2.9000e-04 eta: 1 day, 11:10:59 time: 0.9735 data_time: 0.2117 memory: 32703 grad_norm: 26.4154 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6019 loss: 1.6019 2022/07/29 19:44:49 - mmengine - INFO - Epoch(train) [9][700/2505] lr: 2.9000e-04 eta: 1 day, 11:10:29 time: 0.9388 data_time: 0.2251 memory: 32703 grad_norm: 26.9824 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4800 loss: 1.4800 2022/07/29 19:45:08 - mmengine - INFO - Epoch(train) [9][720/2505] lr: 2.9000e-04 eta: 1 day, 11:10:02 time: 0.9600 data_time: 0.2091 memory: 32703 grad_norm: 26.7405 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8025 loss: 1.8025 2022/07/29 19:45:29 - mmengine - INFO - Epoch(train) [9][740/2505] lr: 2.9000e-04 eta: 1 day, 11:09:41 time: 1.0115 data_time: 0.2672 memory: 32703 grad_norm: 26.8029 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6150 loss: 1.6150 2022/07/29 19:45:48 - mmengine - INFO - Epoch(train) [9][760/2505] lr: 2.9000e-04 eta: 1 day, 11:09:16 time: 0.9752 data_time: 0.0571 memory: 32703 grad_norm: 25.3379 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4433 loss: 1.4433 2022/07/29 19:46:15 - mmengine - INFO - Epoch(train) [9][780/2505] lr: 2.9000e-04 eta: 1 day, 11:09:32 time: 1.3261 data_time: 0.4585 memory: 32703 grad_norm: 25.0816 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7115 loss: 1.7115 2022/07/29 19:46:31 - mmengine - INFO - Epoch(train) [9][800/2505] lr: 2.9000e-04 eta: 1 day, 11:08:50 time: 0.8330 data_time: 0.2424 memory: 32703 grad_norm: 26.6435 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5556 loss: 1.5556 2022/07/29 19:46:53 - mmengine - INFO - Epoch(train) [9][820/2505] lr: 2.9000e-04 eta: 1 day, 11:08:35 time: 1.0625 data_time: 0.4442 memory: 32703 grad_norm: 25.3198 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6611 loss: 1.6611 2022/07/29 19:47:10 - mmengine - INFO - Epoch(train) [9][840/2505] lr: 2.9000e-04 eta: 1 day, 11:07:55 time: 0.8481 data_time: 0.2448 memory: 32703 grad_norm: 26.1842 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6810 loss: 1.6810 2022/07/29 19:47:30 - mmengine - INFO - Epoch(train) [9][860/2505] lr: 2.9000e-04 eta: 1 day, 11:07:36 time: 1.0300 data_time: 0.4425 memory: 32703 grad_norm: 25.4354 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6157 loss: 1.6157 2022/07/29 19:47:49 - mmengine - INFO - Epoch(train) [9][880/2505] lr: 2.9000e-04 eta: 1 day, 11:07:05 time: 0.9256 data_time: 0.3493 memory: 32703 grad_norm: 25.3906 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6765 loss: 1.6765 2022/07/29 19:48:10 - mmengine - INFO - Epoch(train) [9][900/2505] lr: 2.9000e-04 eta: 1 day, 11:06:51 time: 1.0744 data_time: 0.4482 memory: 32703 grad_norm: 25.9225 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4621 loss: 1.4621 2022/07/29 19:48:28 - mmengine - INFO - Epoch(train) [9][920/2505] lr: 2.9000e-04 eta: 1 day, 11:06:17 time: 0.8962 data_time: 0.2817 memory: 32703 grad_norm: 26.3211 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8070 loss: 1.8070 2022/07/29 19:48:49 - mmengine - INFO - Epoch(train) [9][940/2505] lr: 2.9000e-04 eta: 1 day, 11:06:01 time: 1.0583 data_time: 0.4556 memory: 32703 grad_norm: 28.0003 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7199 loss: 1.7199 2022/07/29 19:49:08 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 19:49:08 - mmengine - INFO - Epoch(train) [9][960/2505] lr: 2.9000e-04 eta: 1 day, 11:05:29 time: 0.9168 data_time: 0.2973 memory: 32703 grad_norm: 25.9400 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7833 loss: 1.7833 2022/07/29 19:49:33 - mmengine - INFO - Epoch(train) [9][980/2505] lr: 2.9000e-04 eta: 1 day, 11:05:42 time: 1.2927 data_time: 0.3211 memory: 32703 grad_norm: 25.3759 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8036 loss: 1.8036 2022/07/29 19:49:51 - mmengine - INFO - Epoch(train) [9][1000/2505] lr: 2.9000e-04 eta: 1 day, 11:05:05 time: 0.8787 data_time: 0.0476 memory: 32703 grad_norm: 25.7958 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4346 loss: 1.4346 2022/07/29 19:50:13 - mmengine - INFO - Epoch(train) [9][1020/2505] lr: 2.9000e-04 eta: 1 day, 11:04:52 time: 1.0772 data_time: 0.0300 memory: 32703 grad_norm: 24.7705 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.9611 loss: 1.9611 2022/07/29 19:50:31 - mmengine - INFO - Epoch(train) [9][1040/2505] lr: 2.9000e-04 eta: 1 day, 11:04:17 time: 0.8979 data_time: 0.0300 memory: 32703 grad_norm: 24.6045 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6529 loss: 1.6529 2022/07/29 19:50:51 - mmengine - INFO - Epoch(train) [9][1060/2505] lr: 2.9000e-04 eta: 1 day, 11:04:01 time: 1.0460 data_time: 0.0278 memory: 32703 grad_norm: 26.2286 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6210 loss: 1.6210 2022/07/29 19:51:10 - mmengine - INFO - Epoch(train) [9][1080/2505] lr: 2.9000e-04 eta: 1 day, 11:03:28 time: 0.9095 data_time: 0.0342 memory: 32703 grad_norm: 25.0296 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6497 loss: 1.6497 2022/07/29 19:51:31 - mmengine - INFO - Epoch(train) [9][1100/2505] lr: 2.9000e-04 eta: 1 day, 11:03:12 time: 1.0585 data_time: 0.0290 memory: 32703 grad_norm: 24.7994 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.6104 loss: 1.6104 2022/07/29 19:51:49 - mmengine - INFO - Epoch(train) [9][1120/2505] lr: 2.9000e-04 eta: 1 day, 11:02:41 time: 0.9270 data_time: 0.0300 memory: 32703 grad_norm: 26.7078 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5003 loss: 1.5003 2022/07/29 19:52:11 - mmengine - INFO - Epoch(train) [9][1140/2505] lr: 2.9000e-04 eta: 1 day, 11:02:26 time: 1.0585 data_time: 0.0276 memory: 32703 grad_norm: 25.8108 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6135 loss: 1.6135 2022/07/29 19:52:29 - mmengine - INFO - Epoch(train) [9][1160/2505] lr: 2.9000e-04 eta: 1 day, 11:01:52 time: 0.8995 data_time: 0.0382 memory: 32703 grad_norm: 26.8146 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6137 loss: 1.6137 2022/07/29 19:52:50 - mmengine - INFO - Epoch(train) [9][1180/2505] lr: 2.9000e-04 eta: 1 day, 11:01:36 time: 1.0514 data_time: 0.0248 memory: 32703 grad_norm: 25.2306 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.6626 loss: 1.6626 2022/07/29 19:53:09 - mmengine - INFO - Epoch(train) [9][1200/2505] lr: 2.9000e-04 eta: 1 day, 11:01:08 time: 0.9484 data_time: 0.0342 memory: 32703 grad_norm: 27.2420 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8010 loss: 1.8010 2022/07/29 19:53:27 - mmengine - INFO - Epoch(train) [9][1220/2505] lr: 2.9000e-04 eta: 1 day, 11:00:36 time: 0.9240 data_time: 0.0372 memory: 32703 grad_norm: 25.3481 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5710 loss: 1.5710 2022/07/29 19:53:47 - mmengine - INFO - Epoch(train) [9][1240/2505] lr: 2.9000e-04 eta: 1 day, 11:00:12 time: 0.9788 data_time: 0.0464 memory: 32703 grad_norm: 26.2481 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6470 loss: 1.6470 2022/07/29 19:54:07 - mmengine - INFO - Epoch(train) [9][1260/2505] lr: 2.9000e-04 eta: 1 day, 10:59:53 time: 1.0311 data_time: 0.1457 memory: 32703 grad_norm: 26.5071 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7783 loss: 1.7783 2022/07/29 19:54:26 - mmengine - INFO - Epoch(train) [9][1280/2505] lr: 2.9000e-04 eta: 1 day, 10:59:25 time: 0.9519 data_time: 0.2071 memory: 32703 grad_norm: 26.3519 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7569 loss: 1.7569 2022/07/29 19:54:47 - mmengine - INFO - Epoch(train) [9][1300/2505] lr: 2.9000e-04 eta: 1 day, 10:59:07 time: 1.0333 data_time: 0.3627 memory: 32703 grad_norm: 24.7945 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6012 loss: 1.6012 2022/07/29 19:55:07 - mmengine - INFO - Epoch(train) [9][1320/2505] lr: 2.9000e-04 eta: 1 day, 10:58:44 time: 0.9888 data_time: 0.1831 memory: 32703 grad_norm: 26.1060 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7051 loss: 1.7051 2022/07/29 19:55:27 - mmengine - INFO - Epoch(train) [9][1340/2505] lr: 2.9000e-04 eta: 1 day, 10:58:23 time: 1.0144 data_time: 0.0278 memory: 32703 grad_norm: 25.1324 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6400 loss: 1.6400 2022/07/29 19:55:46 - mmengine - INFO - Epoch(train) [9][1360/2505] lr: 2.9000e-04 eta: 1 day, 10:57:56 time: 0.9586 data_time: 0.0326 memory: 32703 grad_norm: 26.5259 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4464 loss: 1.4464 2022/07/29 19:56:07 - mmengine - INFO - Epoch(train) [9][1380/2505] lr: 2.9000e-04 eta: 1 day, 10:57:38 time: 1.0328 data_time: 0.0283 memory: 32703 grad_norm: 25.7771 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7312 loss: 1.7312 2022/07/29 19:56:26 - mmengine - INFO - Epoch(train) [9][1400/2505] lr: 2.9000e-04 eta: 1 day, 10:57:09 time: 0.9394 data_time: 0.0949 memory: 32703 grad_norm: 25.7235 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6761 loss: 1.6761 2022/07/29 19:56:46 - mmengine - INFO - Epoch(train) [9][1420/2505] lr: 2.9000e-04 eta: 1 day, 10:56:46 time: 0.9997 data_time: 0.1057 memory: 32703 grad_norm: 25.6016 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4690 loss: 1.4690 2022/07/29 19:57:03 - mmengine - INFO - Epoch(train) [9][1440/2505] lr: 2.9000e-04 eta: 1 day, 10:56:11 time: 0.8819 data_time: 0.0766 memory: 32703 grad_norm: 25.5582 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8204 loss: 1.8204 2022/07/29 19:57:25 - mmengine - INFO - Epoch(train) [9][1460/2505] lr: 2.9000e-04 eta: 1 day, 10:55:56 time: 1.0684 data_time: 0.0960 memory: 32703 grad_norm: 26.3051 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6117 loss: 1.6117 2022/07/29 19:57:42 - mmengine - INFO - Epoch(train) [9][1480/2505] lr: 2.9000e-04 eta: 1 day, 10:55:16 time: 0.8458 data_time: 0.0271 memory: 32703 grad_norm: 25.8996 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8400 loss: 1.8400 2022/07/29 19:58:04 - mmengine - INFO - Epoch(train) [9][1500/2505] lr: 2.9000e-04 eta: 1 day, 10:55:07 time: 1.1079 data_time: 0.0266 memory: 32703 grad_norm: 25.8110 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7028 loss: 1.7028 2022/07/29 19:58:21 - mmengine - INFO - Epoch(train) [9][1520/2505] lr: 2.9000e-04 eta: 1 day, 10:54:30 time: 0.8762 data_time: 0.0291 memory: 32703 grad_norm: 24.7849 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5260 loss: 1.5260 2022/07/29 19:58:42 - mmengine - INFO - Epoch(train) [9][1540/2505] lr: 2.9000e-04 eta: 1 day, 10:54:12 time: 1.0284 data_time: 0.0599 memory: 32703 grad_norm: 25.8896 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5774 loss: 1.5774 2022/07/29 19:59:00 - mmengine - INFO - Epoch(train) [9][1560/2505] lr: 2.9000e-04 eta: 1 day, 10:53:38 time: 0.8986 data_time: 0.0260 memory: 32703 grad_norm: 25.7727 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5681 loss: 1.5681 2022/07/29 19:59:23 - mmengine - INFO - Epoch(train) [9][1580/2505] lr: 2.9000e-04 eta: 1 day, 10:53:36 time: 1.1761 data_time: 0.4350 memory: 32703 grad_norm: 24.3763 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4503 loss: 1.4503 2022/07/29 19:59:45 - mmengine - INFO - Epoch(train) [9][1600/2505] lr: 2.9000e-04 eta: 1 day, 10:53:26 time: 1.1080 data_time: 0.1399 memory: 32703 grad_norm: 25.2162 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6136 loss: 1.6136 2022/07/29 20:00:06 - mmengine - INFO - Epoch(train) [9][1620/2505] lr: 2.9000e-04 eta: 1 day, 10:53:05 time: 1.0065 data_time: 0.0360 memory: 32703 grad_norm: 26.4678 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5125 loss: 1.5125 2022/07/29 20:00:25 - mmengine - INFO - Epoch(train) [9][1640/2505] lr: 2.9000e-04 eta: 1 day, 10:52:39 time: 0.9647 data_time: 0.0295 memory: 32703 grad_norm: 26.2742 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8358 loss: 1.8358 2022/07/29 20:00:44 - mmengine - INFO - Epoch(train) [9][1660/2505] lr: 2.9000e-04 eta: 1 day, 10:52:11 time: 0.9535 data_time: 0.0343 memory: 32703 grad_norm: 25.7065 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6608 loss: 1.6608 2022/07/29 20:01:02 - mmengine - INFO - Epoch(train) [9][1680/2505] lr: 2.9000e-04 eta: 1 day, 10:51:40 time: 0.9232 data_time: 0.0835 memory: 32703 grad_norm: 25.5685 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7847 loss: 1.7847 2022/07/29 20:01:23 - mmengine - INFO - Epoch(train) [9][1700/2505] lr: 2.9000e-04 eta: 1 day, 10:51:22 time: 1.0321 data_time: 0.0850 memory: 32703 grad_norm: 24.6935 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4927 loss: 1.4927 2022/07/29 20:01:42 - mmengine - INFO - Epoch(train) [9][1720/2505] lr: 2.9000e-04 eta: 1 day, 10:50:54 time: 0.9527 data_time: 0.0285 memory: 32703 grad_norm: 25.2580 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8196 loss: 1.8196 2022/07/29 20:02:04 - mmengine - INFO - Epoch(train) [9][1740/2505] lr: 2.9000e-04 eta: 1 day, 10:50:44 time: 1.1033 data_time: 0.0319 memory: 32703 grad_norm: 25.4165 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6152 loss: 1.6152 2022/07/29 20:02:23 - mmengine - INFO - Epoch(train) [9][1760/2505] lr: 2.9000e-04 eta: 1 day, 10:50:16 time: 0.9496 data_time: 0.0296 memory: 32703 grad_norm: 25.2483 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8643 loss: 1.8643 2022/07/29 20:02:40 - mmengine - INFO - Epoch(train) [9][1780/2505] lr: 2.9000e-04 eta: 1 day, 10:49:38 time: 0.8546 data_time: 0.0448 memory: 32703 grad_norm: 25.5654 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6476 loss: 1.6476 2022/07/29 20:03:02 - mmengine - INFO - Epoch(train) [9][1800/2505] lr: 2.9000e-04 eta: 1 day, 10:49:23 time: 1.0672 data_time: 0.0279 memory: 32703 grad_norm: 26.0449 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6266 loss: 1.6266 2022/07/29 20:03:20 - mmengine - INFO - Epoch(train) [9][1820/2505] lr: 2.9000e-04 eta: 1 day, 10:48:55 time: 0.9411 data_time: 0.0335 memory: 32703 grad_norm: 26.2402 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6526 loss: 1.6526 2022/07/29 20:03:42 - mmengine - INFO - Epoch(train) [9][1840/2505] lr: 2.9000e-04 eta: 1 day, 10:48:40 time: 1.0634 data_time: 0.0253 memory: 32703 grad_norm: 24.8761 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5614 loss: 1.5614 2022/07/29 20:04:01 - mmengine - INFO - Epoch(train) [9][1860/2505] lr: 2.9000e-04 eta: 1 day, 10:48:11 time: 0.9411 data_time: 0.0360 memory: 32703 grad_norm: 25.6860 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6157 loss: 1.6157 2022/07/29 20:04:20 - mmengine - INFO - Epoch(train) [9][1880/2505] lr: 2.9000e-04 eta: 1 day, 10:47:44 time: 0.9593 data_time: 0.0317 memory: 32703 grad_norm: 25.7905 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6954 loss: 1.6954 2022/07/29 20:04:39 - mmengine - INFO - Epoch(train) [9][1900/2505] lr: 2.9000e-04 eta: 1 day, 10:47:17 time: 0.9495 data_time: 0.0317 memory: 32703 grad_norm: 25.8309 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4147 loss: 1.4147 2022/07/29 20:04:59 - mmengine - INFO - Epoch(train) [9][1920/2505] lr: 2.9000e-04 eta: 1 day, 10:46:56 time: 1.0117 data_time: 0.0260 memory: 32703 grad_norm: 25.3866 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8347 loss: 1.8347 2022/07/29 20:05:18 - mmengine - INFO - Epoch(train) [9][1940/2505] lr: 2.9000e-04 eta: 1 day, 10:46:27 time: 0.9387 data_time: 0.0379 memory: 32703 grad_norm: 25.6086 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7538 loss: 1.7538 2022/07/29 20:05:38 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 20:05:38 - mmengine - INFO - Epoch(train) [9][1960/2505] lr: 2.9000e-04 eta: 1 day, 10:46:06 time: 1.0126 data_time: 0.0576 memory: 32703 grad_norm: 25.7320 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7558 loss: 1.7558 2022/07/29 20:05:57 - mmengine - INFO - Epoch(train) [9][1980/2505] lr: 2.9000e-04 eta: 1 day, 10:45:36 time: 0.9265 data_time: 0.0919 memory: 32703 grad_norm: 25.7762 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6444 loss: 1.6444 2022/07/29 20:06:20 - mmengine - INFO - Epoch(train) [9][2000/2505] lr: 2.9000e-04 eta: 1 day, 10:45:34 time: 1.1739 data_time: 0.0703 memory: 32703 grad_norm: 24.9873 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5939 loss: 1.5939 2022/07/29 20:06:39 - mmengine - INFO - Epoch(train) [9][2020/2505] lr: 2.9000e-04 eta: 1 day, 10:45:09 time: 0.9743 data_time: 0.0287 memory: 32703 grad_norm: 26.5475 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7084 loss: 1.7084 2022/07/29 20:06:59 - mmengine - INFO - Epoch(train) [9][2040/2505] lr: 2.9000e-04 eta: 1 day, 10:44:45 time: 0.9880 data_time: 0.0338 memory: 32703 grad_norm: 24.5279 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8801 loss: 1.8801 2022/07/29 20:07:18 - mmengine - INFO - Epoch(train) [9][2060/2505] lr: 2.9000e-04 eta: 1 day, 10:44:16 time: 0.9345 data_time: 0.0284 memory: 32703 grad_norm: 26.2077 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9185 loss: 1.9185 2022/07/29 20:07:39 - mmengine - INFO - Epoch(train) [9][2080/2505] lr: 2.9000e-04 eta: 1 day, 10:43:58 time: 1.0373 data_time: 0.0282 memory: 32703 grad_norm: 24.5688 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6677 loss: 1.6677 2022/07/29 20:07:58 - mmengine - INFO - Epoch(train) [9][2100/2505] lr: 2.9000e-04 eta: 1 day, 10:43:31 time: 0.9542 data_time: 0.0277 memory: 32703 grad_norm: 24.6186 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4530 loss: 1.4530 2022/07/29 20:08:18 - mmengine - INFO - Epoch(train) [9][2120/2505] lr: 2.9000e-04 eta: 1 day, 10:43:10 time: 1.0105 data_time: 0.0292 memory: 32703 grad_norm: 25.7693 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4017 loss: 1.4017 2022/07/29 20:08:38 - mmengine - INFO - Epoch(train) [9][2140/2505] lr: 2.9000e-04 eta: 1 day, 10:42:48 time: 0.9995 data_time: 0.0289 memory: 32703 grad_norm: 26.4849 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7005 loss: 1.7005 2022/07/29 20:08:58 - mmengine - INFO - Epoch(train) [9][2160/2505] lr: 2.9000e-04 eta: 1 day, 10:42:25 time: 0.9916 data_time: 0.0326 memory: 32703 grad_norm: 26.5841 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6756 loss: 1.6756 2022/07/29 20:09:18 - mmengine - INFO - Epoch(train) [9][2180/2505] lr: 2.9000e-04 eta: 1 day, 10:42:04 time: 1.0057 data_time: 0.0291 memory: 32703 grad_norm: 25.5078 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8329 loss: 1.8329 2022/07/29 20:09:40 - mmengine - INFO - Epoch(train) [9][2200/2505] lr: 2.9000e-04 eta: 1 day, 10:41:51 time: 1.0824 data_time: 0.0315 memory: 32703 grad_norm: 25.4211 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8317 loss: 1.8317 2022/07/29 20:09:58 - mmengine - INFO - Epoch(train) [9][2220/2505] lr: 2.9000e-04 eta: 1 day, 10:41:23 time: 0.9405 data_time: 0.0319 memory: 32703 grad_norm: 24.7325 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6322 loss: 1.6322 2022/07/29 20:10:19 - mmengine - INFO - Epoch(train) [9][2240/2505] lr: 2.9000e-04 eta: 1 day, 10:41:02 time: 1.0088 data_time: 0.0297 memory: 32703 grad_norm: 24.8932 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9299 loss: 1.9299 2022/07/29 20:10:38 - mmengine - INFO - Epoch(train) [9][2260/2505] lr: 2.9000e-04 eta: 1 day, 10:40:39 time: 0.9960 data_time: 0.0277 memory: 32703 grad_norm: 25.2642 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6622 loss: 1.6622 2022/07/29 20:10:59 - mmengine - INFO - Epoch(train) [9][2280/2505] lr: 2.9000e-04 eta: 1 day, 10:40:18 time: 1.0106 data_time: 0.0268 memory: 32703 grad_norm: 25.3985 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3462 loss: 1.3462 2022/07/29 20:11:17 - mmengine - INFO - Epoch(train) [9][2300/2505] lr: 2.9000e-04 eta: 1 day, 10:39:45 time: 0.8919 data_time: 0.0282 memory: 32703 grad_norm: 24.4252 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6489 loss: 1.6489 2022/07/29 20:11:36 - mmengine - INFO - Epoch(train) [9][2320/2505] lr: 2.9000e-04 eta: 1 day, 10:39:18 time: 0.9596 data_time: 0.0309 memory: 32703 grad_norm: 24.7282 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6648 loss: 1.6648 2022/07/29 20:11:58 - mmengine - INFO - Epoch(train) [9][2340/2505] lr: 2.9000e-04 eta: 1 day, 10:39:09 time: 1.1172 data_time: 0.0288 memory: 32703 grad_norm: 25.3748 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.9150 loss: 1.9150 2022/07/29 20:12:16 - mmengine - INFO - Epoch(train) [9][2360/2505] lr: 2.9000e-04 eta: 1 day, 10:38:33 time: 0.8746 data_time: 0.0279 memory: 32703 grad_norm: 25.1631 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.7171 loss: 1.7171 2022/07/29 20:12:36 - mmengine - INFO - Epoch(train) [9][2380/2505] lr: 2.9000e-04 eta: 1 day, 10:38:15 time: 1.0282 data_time: 0.0312 memory: 32703 grad_norm: 25.7806 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3123 loss: 1.3123 2022/07/29 20:12:55 - mmengine - INFO - Epoch(train) [9][2400/2505] lr: 2.9000e-04 eta: 1 day, 10:37:45 time: 0.9292 data_time: 0.0288 memory: 32703 grad_norm: 25.1517 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6531 loss: 1.6531 2022/07/29 20:13:16 - mmengine - INFO - Epoch(train) [9][2420/2505] lr: 2.9000e-04 eta: 1 day, 10:37:28 time: 1.0481 data_time: 0.0273 memory: 32703 grad_norm: 25.0812 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6367 loss: 1.6367 2022/07/29 20:13:33 - mmengine - INFO - Epoch(train) [9][2440/2505] lr: 2.9000e-04 eta: 1 day, 10:36:49 time: 0.8439 data_time: 0.0270 memory: 32703 grad_norm: 25.2289 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.8110 loss: 1.8110 2022/07/29 20:13:55 - mmengine - INFO - Epoch(train) [9][2460/2505] lr: 2.9000e-04 eta: 1 day, 10:36:41 time: 1.1273 data_time: 0.0282 memory: 32703 grad_norm: 25.0495 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8331 loss: 1.8331 2022/07/29 20:14:12 - mmengine - INFO - Epoch(train) [9][2480/2505] lr: 2.9000e-04 eta: 1 day, 10:36:01 time: 0.8308 data_time: 0.0299 memory: 32703 grad_norm: 24.5766 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.4195 loss: 1.4195 2022/07/29 20:14:31 - mmengine - INFO - Epoch(train) [9][2500/2505] lr: 2.9000e-04 eta: 1 day, 10:35:37 time: 0.9822 data_time: 0.0266 memory: 32703 grad_norm: 24.5939 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5802 loss: 1.5802 2022/07/29 20:14:34 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 20:14:34 - mmengine - INFO - Epoch(train) [9][2505/2505] lr: 2.9000e-04 eta: 1 day, 10:35:37 time: 0.7781 data_time: 0.0276 memory: 32703 grad_norm: 24.5999 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.6359 loss: 1.6359 2022/07/29 20:14:36 - mmengine - INFO - Epoch(val) [9][20/2475] eta: 0:03:59 time: 0.0974 data_time: 0.0677 memory: 817 2022/07/29 20:14:38 - mmengine - INFO - Epoch(val) [9][40/2475] eta: 0:03:03 time: 0.0753 data_time: 0.0442 memory: 817 2022/07/29 20:14:40 - mmengine - INFO - Epoch(val) [9][60/2475] eta: 0:04:04 time: 0.1010 data_time: 0.0685 memory: 817 2022/07/29 20:14:41 - mmengine - INFO - Epoch(val) [9][80/2475] eta: 0:03:00 time: 0.0753 data_time: 0.0433 memory: 817 2022/07/29 20:14:43 - mmengine - INFO - Epoch(val) [9][100/2475] eta: 0:03:56 time: 0.0995 data_time: 0.0699 memory: 817 2022/07/29 20:14:45 - mmengine - INFO - Epoch(val) [9][120/2475] eta: 0:02:25 time: 0.0616 data_time: 0.0295 memory: 817 2022/07/29 20:14:47 - mmengine - INFO - Epoch(val) [9][140/2475] eta: 0:03:55 time: 0.1007 data_time: 0.0684 memory: 817 2022/07/29 20:14:48 - mmengine - INFO - Epoch(val) [9][160/2475] eta: 0:03:01 time: 0.0786 data_time: 0.0477 memory: 817 2022/07/29 20:14:50 - mmengine - INFO - Epoch(val) [9][180/2475] eta: 0:03:26 time: 0.0898 data_time: 0.0569 memory: 817 2022/07/29 20:14:51 - mmengine - INFO - Epoch(val) [9][200/2475] eta: 0:02:19 time: 0.0615 data_time: 0.0277 memory: 817 2022/07/29 20:14:53 - mmengine - INFO - Epoch(val) [9][220/2475] eta: 0:03:09 time: 0.0841 data_time: 0.0516 memory: 817 2022/07/29 20:14:54 - mmengine - INFO - Epoch(val) [9][240/2475] eta: 0:02:58 time: 0.0798 data_time: 0.0334 memory: 817 2022/07/29 20:14:56 - mmengine - INFO - Epoch(val) [9][260/2475] eta: 0:03:06 time: 0.0844 data_time: 0.0526 memory: 817 2022/07/29 20:14:58 - mmengine - INFO - Epoch(val) [9][280/2475] eta: 0:02:45 time: 0.0754 data_time: 0.0441 memory: 817 2022/07/29 20:14:59 - mmengine - INFO - Epoch(val) [9][300/2475] eta: 0:02:41 time: 0.0741 data_time: 0.0416 memory: 817 2022/07/29 20:15:01 - mmengine - INFO - Epoch(val) [9][320/2475] eta: 0:03:11 time: 0.0887 data_time: 0.0564 memory: 817 2022/07/29 20:15:03 - mmengine - INFO - Epoch(val) [9][340/2475] eta: 0:03:20 time: 0.0937 data_time: 0.0631 memory: 817 2022/07/29 20:15:05 - mmengine - INFO - Epoch(val) [9][360/2475] eta: 0:03:27 time: 0.0979 data_time: 0.0658 memory: 817 2022/07/29 20:15:06 - mmengine - INFO - Epoch(val) [9][380/2475] eta: 0:02:07 time: 0.0608 data_time: 0.0279 memory: 817 2022/07/29 20:15:08 - mmengine - INFO - Epoch(val) [9][400/2475] eta: 0:02:46 time: 0.0805 data_time: 0.0490 memory: 817 2022/07/29 20:15:09 - mmengine - INFO - Epoch(val) [9][420/2475] eta: 0:03:12 time: 0.0935 data_time: 0.0617 memory: 817 2022/07/29 20:15:11 - mmengine - INFO - Epoch(val) [9][440/2475] eta: 0:03:09 time: 0.0932 data_time: 0.0627 memory: 817 2022/07/29 20:15:13 - mmengine - INFO - Epoch(val) [9][460/2475] eta: 0:02:07 time: 0.0632 data_time: 0.0327 memory: 817 2022/07/29 20:15:15 - mmengine - INFO - Epoch(val) [9][480/2475] eta: 0:03:42 time: 0.1114 data_time: 0.0607 memory: 817 2022/07/29 20:15:17 - mmengine - INFO - Epoch(val) [9][500/2475] eta: 0:03:37 time: 0.1101 data_time: 0.0795 memory: 817 2022/07/29 20:15:18 - mmengine - INFO - Epoch(val) [9][520/2475] eta: 0:01:52 time: 0.0573 data_time: 0.0244 memory: 817 2022/07/29 20:15:20 - mmengine - INFO - Epoch(val) [9][540/2475] eta: 0:02:28 time: 0.0765 data_time: 0.0444 memory: 817 2022/07/29 20:15:21 - mmengine - INFO - Epoch(val) [9][560/2475] eta: 0:02:20 time: 0.0731 data_time: 0.0399 memory: 817 2022/07/29 20:15:23 - mmengine - INFO - Epoch(val) [9][580/2475] eta: 0:03:11 time: 0.1012 data_time: 0.0690 memory: 817 2022/07/29 20:15:25 - mmengine - INFO - Epoch(val) [9][600/2475] eta: 0:02:57 time: 0.0944 data_time: 0.0628 memory: 817 2022/07/29 20:15:27 - mmengine - INFO - Epoch(val) [9][620/2475] eta: 0:02:28 time: 0.0799 data_time: 0.0468 memory: 817 2022/07/29 20:15:28 - mmengine - INFO - Epoch(val) [9][640/2475] eta: 0:02:43 time: 0.0893 data_time: 0.0584 memory: 817 2022/07/29 20:15:30 - mmengine - INFO - Epoch(val) [9][660/2475] eta: 0:02:12 time: 0.0732 data_time: 0.0417 memory: 817 2022/07/29 20:15:32 - mmengine - INFO - Epoch(val) [9][680/2475] eta: 0:02:35 time: 0.0865 data_time: 0.0563 memory: 817 2022/07/29 20:15:33 - mmengine - INFO - Epoch(val) [9][700/2475] eta: 0:02:05 time: 0.0708 data_time: 0.0401 memory: 817 2022/07/29 20:15:35 - mmengine - INFO - Epoch(val) [9][720/2475] eta: 0:02:55 time: 0.1002 data_time: 0.0645 memory: 817 2022/07/29 20:15:37 - mmengine - INFO - Epoch(val) [9][740/2475] eta: 0:02:10 time: 0.0755 data_time: 0.0453 memory: 817 2022/07/29 20:15:38 - mmengine - INFO - Epoch(val) [9][760/2475] eta: 0:01:54 time: 0.0667 data_time: 0.0340 memory: 817 2022/07/29 20:15:40 - mmengine - INFO - Epoch(val) [9][780/2475] eta: 0:02:15 time: 0.0800 data_time: 0.0488 memory: 817 2022/07/29 20:15:41 - mmengine - INFO - Epoch(val) [9][800/2475] eta: 0:01:42 time: 0.0609 data_time: 0.0290 memory: 817 2022/07/29 20:15:43 - mmengine - INFO - Epoch(val) [9][820/2475] eta: 0:03:36 time: 0.1311 data_time: 0.0997 memory: 817 2022/07/29 20:15:46 - mmengine - INFO - Epoch(val) [9][840/2475] eta: 0:03:16 time: 0.1201 data_time: 0.0895 memory: 817 2022/07/29 20:15:47 - mmengine - INFO - Epoch(val) [9][860/2475] eta: 0:01:28 time: 0.0546 data_time: 0.0242 memory: 817 2022/07/29 20:15:49 - mmengine - INFO - Epoch(val) [9][880/2475] eta: 0:02:33 time: 0.0963 data_time: 0.0636 memory: 817 2022/07/29 20:15:50 - mmengine - INFO - Epoch(val) [9][900/2475] eta: 0:01:51 time: 0.0705 data_time: 0.0395 memory: 817 2022/07/29 20:15:52 - mmengine - INFO - Epoch(val) [9][920/2475] eta: 0:02:45 time: 0.1065 data_time: 0.0764 memory: 817 2022/07/29 20:15:55 - mmengine - INFO - Epoch(val) [9][940/2475] eta: 0:02:54 time: 0.1136 data_time: 0.0835 memory: 817 2022/07/29 20:15:56 - mmengine - INFO - Epoch(val) [9][960/2475] eta: 0:02:12 time: 0.0877 data_time: 0.0574 memory: 817 2022/07/29 20:15:58 - mmengine - INFO - Epoch(val) [9][980/2475] eta: 0:02:11 time: 0.0879 data_time: 0.0553 memory: 817 2022/07/29 20:16:00 - mmengine - INFO - Epoch(val) [9][1000/2475] eta: 0:02:07 time: 0.0863 data_time: 0.0554 memory: 817 2022/07/29 20:16:01 - mmengine - INFO - Epoch(val) [9][1020/2475] eta: 0:01:53 time: 0.0782 data_time: 0.0442 memory: 817 2022/07/29 20:16:03 - mmengine - INFO - Epoch(val) [9][1040/2475] eta: 0:01:26 time: 0.0603 data_time: 0.0287 memory: 817 2022/07/29 20:16:04 - mmengine - INFO - Epoch(val) [9][1060/2475] eta: 0:01:41 time: 0.0720 data_time: 0.0424 memory: 817 2022/07/29 20:16:06 - mmengine - INFO - Epoch(val) [9][1080/2475] eta: 0:02:00 time: 0.0864 data_time: 0.0548 memory: 817 2022/07/29 20:16:07 - mmengine - INFO - Epoch(val) [9][1100/2475] eta: 0:01:23 time: 0.0609 data_time: 0.0302 memory: 817 2022/07/29 20:16:09 - mmengine - INFO - Epoch(val) [9][1120/2475] eta: 0:02:16 time: 0.1009 data_time: 0.0698 memory: 817 2022/07/29 20:16:10 - mmengine - INFO - Epoch(val) [9][1140/2475] eta: 0:01:28 time: 0.0663 data_time: 0.0360 memory: 817 2022/07/29 20:16:12 - mmengine - INFO - Epoch(val) [9][1160/2475] eta: 0:01:52 time: 0.0859 data_time: 0.0538 memory: 817 2022/07/29 20:16:13 - mmengine - INFO - Epoch(val) [9][1180/2475] eta: 0:01:25 time: 0.0663 data_time: 0.0349 memory: 817 2022/07/29 20:16:16 - mmengine - INFO - Epoch(val) [9][1200/2475] eta: 0:02:14 time: 0.1056 data_time: 0.0561 memory: 817 2022/07/29 20:16:17 - mmengine - INFO - Epoch(val) [9][1220/2475] eta: 0:01:29 time: 0.0715 data_time: 0.0407 memory: 817 2022/07/29 20:16:19 - mmengine - INFO - Epoch(val) [9][1240/2475] eta: 0:01:58 time: 0.0960 data_time: 0.0657 memory: 817 2022/07/29 20:16:20 - mmengine - INFO - Epoch(val) [9][1260/2475] eta: 0:01:31 time: 0.0755 data_time: 0.0440 memory: 817 2022/07/29 20:16:22 - mmengine - INFO - Epoch(val) [9][1280/2475] eta: 0:01:55 time: 0.0963 data_time: 0.0643 memory: 817 2022/07/29 20:16:24 - mmengine - INFO - Epoch(val) [9][1300/2475] eta: 0:01:40 time: 0.0857 data_time: 0.0538 memory: 817 2022/07/29 20:16:26 - mmengine - INFO - Epoch(val) [9][1320/2475] eta: 0:01:39 time: 0.0865 data_time: 0.0555 memory: 817 2022/07/29 20:16:27 - mmengine - INFO - Epoch(val) [9][1340/2475] eta: 0:01:11 time: 0.0629 data_time: 0.0296 memory: 817 2022/07/29 20:16:29 - mmengine - INFO - Epoch(val) [9][1360/2475] eta: 0:01:41 time: 0.0913 data_time: 0.0599 memory: 817 2022/07/29 20:16:31 - mmengine - INFO - Epoch(val) [9][1380/2475] eta: 0:01:32 time: 0.0848 data_time: 0.0546 memory: 817 2022/07/29 20:16:33 - mmengine - INFO - Epoch(val) [9][1400/2475] eta: 0:02:31 time: 0.1413 data_time: 0.1110 memory: 817 2022/07/29 20:16:35 - mmengine - INFO - Epoch(val) [9][1420/2475] eta: 0:01:01 time: 0.0585 data_time: 0.0053 memory: 817 2022/07/29 20:16:37 - mmengine - INFO - Epoch(val) [9][1440/2475] eta: 0:01:44 time: 0.1013 data_time: 0.0717 memory: 817 2022/07/29 20:16:38 - mmengine - INFO - Epoch(val) [9][1460/2475] eta: 0:01:20 time: 0.0791 data_time: 0.0497 memory: 817 2022/07/29 20:16:40 - mmengine - INFO - Epoch(val) [9][1480/2475] eta: 0:01:48 time: 0.1090 data_time: 0.0779 memory: 817 2022/07/29 20:16:42 - mmengine - INFO - Epoch(val) [9][1500/2475] eta: 0:01:03 time: 0.0654 data_time: 0.0347 memory: 817 2022/07/29 20:16:43 - mmengine - INFO - Epoch(val) [9][1520/2475] eta: 0:01:02 time: 0.0656 data_time: 0.0350 memory: 817 2022/07/29 20:16:44 - mmengine - INFO - Epoch(val) [9][1540/2475] eta: 0:00:55 time: 0.0591 data_time: 0.0262 memory: 817 2022/07/29 20:16:47 - mmengine - INFO - Epoch(val) [9][1560/2475] eta: 0:02:00 time: 0.1318 data_time: 0.1008 memory: 817 2022/07/29 20:16:48 - mmengine - INFO - Epoch(val) [9][1580/2475] eta: 0:00:50 time: 0.0564 data_time: 0.0251 memory: 817 2022/07/29 20:16:50 - mmengine - INFO - Epoch(val) [9][1600/2475] eta: 0:01:38 time: 0.1131 data_time: 0.0822 memory: 817 2022/07/29 20:16:52 - mmengine - INFO - Epoch(val) [9][1620/2475] eta: 0:00:58 time: 0.0690 data_time: 0.0376 memory: 817 2022/07/29 20:16:53 - mmengine - INFO - Epoch(val) [9][1640/2475] eta: 0:01:12 time: 0.0862 data_time: 0.0524 memory: 817 2022/07/29 20:16:55 - mmengine - INFO - Epoch(val) [9][1660/2475] eta: 0:01:07 time: 0.0833 data_time: 0.0265 memory: 817 2022/07/29 20:16:56 - mmengine - INFO - Epoch(val) [9][1680/2475] eta: 0:00:54 time: 0.0682 data_time: 0.0324 memory: 817 2022/07/29 20:16:58 - mmengine - INFO - Epoch(val) [9][1700/2475] eta: 0:01:06 time: 0.0864 data_time: 0.0555 memory: 817 2022/07/29 20:17:00 - mmengine - INFO - Epoch(val) [9][1720/2475] eta: 0:01:02 time: 0.0831 data_time: 0.0524 memory: 817 2022/07/29 20:17:01 - mmengine - INFO - Epoch(val) [9][1740/2475] eta: 0:00:49 time: 0.0680 data_time: 0.0376 memory: 817 2022/07/29 20:17:03 - mmengine - INFO - Epoch(val) [9][1760/2475] eta: 0:01:08 time: 0.0952 data_time: 0.0626 memory: 817 2022/07/29 20:17:05 - mmengine - INFO - Epoch(val) [9][1780/2475] eta: 0:00:54 time: 0.0783 data_time: 0.0448 memory: 817 2022/07/29 20:17:06 - mmengine - INFO - Epoch(val) [9][1800/2475] eta: 0:01:02 time: 0.0933 data_time: 0.0633 memory: 817 2022/07/29 20:17:08 - mmengine - INFO - Epoch(val) [9][1820/2475] eta: 0:00:48 time: 0.0746 data_time: 0.0428 memory: 817 2022/07/29 20:17:10 - mmengine - INFO - Epoch(val) [9][1840/2475] eta: 0:00:56 time: 0.0893 data_time: 0.0585 memory: 817 2022/07/29 20:17:11 - mmengine - INFO - Epoch(val) [9][1860/2475] eta: 0:00:47 time: 0.0765 data_time: 0.0453 memory: 817 2022/07/29 20:17:13 - mmengine - INFO - Epoch(val) [9][1880/2475] eta: 0:00:49 time: 0.0827 data_time: 0.0519 memory: 817 2022/07/29 20:17:15 - mmengine - INFO - Epoch(val) [9][1900/2475] eta: 0:00:47 time: 0.0831 data_time: 0.0478 memory: 817 2022/07/29 20:17:16 - mmengine - INFO - Epoch(val) [9][1920/2475] eta: 0:00:46 time: 0.0833 data_time: 0.0520 memory: 817 2022/07/29 20:17:18 - mmengine - INFO - Epoch(val) [9][1940/2475] eta: 0:00:42 time: 0.0794 data_time: 0.0471 memory: 817 2022/07/29 20:17:20 - mmengine - INFO - Epoch(val) [9][1960/2475] eta: 0:00:44 time: 0.0874 data_time: 0.0543 memory: 817 2022/07/29 20:17:21 - mmengine - INFO - Epoch(val) [9][1980/2475] eta: 0:00:33 time: 0.0673 data_time: 0.0340 memory: 817 2022/07/29 20:17:23 - mmengine - INFO - Epoch(val) [9][2000/2475] eta: 0:00:50 time: 0.1072 data_time: 0.0759 memory: 817 2022/07/29 20:17:25 - mmengine - INFO - Epoch(val) [9][2020/2475] eta: 0:00:39 time: 0.0858 data_time: 0.0535 memory: 817 2022/07/29 20:17:27 - mmengine - INFO - Epoch(val) [9][2040/2475] eta: 0:00:36 time: 0.0849 data_time: 0.0519 memory: 817 2022/07/29 20:17:28 - mmengine - INFO - Epoch(val) [9][2060/2475] eta: 0:00:36 time: 0.0879 data_time: 0.0566 memory: 817 2022/07/29 20:17:30 - mmengine - INFO - Epoch(val) [9][2080/2475] eta: 0:00:32 time: 0.0834 data_time: 0.0530 memory: 817 2022/07/29 20:17:31 - mmengine - INFO - Epoch(val) [9][2100/2475] eta: 0:00:26 time: 0.0704 data_time: 0.0403 memory: 817 2022/07/29 20:17:33 - mmengine - INFO - Epoch(val) [9][2120/2475] eta: 0:00:28 time: 0.0814 data_time: 0.0499 memory: 817 2022/07/29 20:17:35 - mmengine - INFO - Epoch(val) [9][2140/2475] eta: 0:00:31 time: 0.0946 data_time: 0.0348 memory: 817 2022/07/29 20:17:39 - mmengine - INFO - Epoch(val) [9][2160/2475] eta: 0:00:59 time: 0.1893 data_time: 0.1591 memory: 817 2022/07/29 20:17:39 - mmengine - INFO - Epoch(val) [9][2180/2475] eta: 0:00:10 time: 0.0352 data_time: 0.0058 memory: 817 2022/07/29 20:17:41 - mmengine - INFO - Epoch(val) [9][2200/2475] eta: 0:00:23 time: 0.0863 data_time: 0.0540 memory: 817 2022/07/29 20:17:42 - mmengine - INFO - Epoch(val) [9][2220/2475] eta: 0:00:12 time: 0.0502 data_time: 0.0196 memory: 817 2022/07/29 20:17:44 - mmengine - INFO - Epoch(val) [9][2240/2475] eta: 0:00:24 time: 0.1035 data_time: 0.0743 memory: 817 2022/07/29 20:17:46 - mmengine - INFO - Epoch(val) [9][2260/2475] eta: 0:00:23 time: 0.1097 data_time: 0.0796 memory: 817 2022/07/29 20:17:49 - mmengine - INFO - Epoch(val) [9][2280/2475] eta: 0:00:25 time: 0.1318 data_time: 0.0997 memory: 817 2022/07/29 20:17:51 - mmengine - INFO - Epoch(val) [9][2300/2475] eta: 0:00:15 time: 0.0863 data_time: 0.0542 memory: 817 2022/07/29 20:17:52 - mmengine - INFO - Epoch(val) [9][2320/2475] eta: 0:00:09 time: 0.0592 data_time: 0.0285 memory: 817 2022/07/29 20:17:54 - mmengine - INFO - Epoch(val) [9][2340/2475] eta: 0:00:12 time: 0.0925 data_time: 0.0622 memory: 817 2022/07/29 20:17:56 - mmengine - INFO - Epoch(val) [9][2360/2475] eta: 0:00:11 time: 0.1008 data_time: 0.0483 memory: 817 2022/07/29 20:17:58 - mmengine - INFO - Epoch(val) [9][2380/2475] eta: 0:00:12 time: 0.1284 data_time: 0.0983 memory: 817 2022/07/29 20:18:00 - mmengine - INFO - Epoch(val) [9][2400/2475] eta: 0:00:05 time: 0.0740 data_time: 0.0438 memory: 817 2022/07/29 20:18:01 - mmengine - INFO - Epoch(val) [9][2420/2475] eta: 0:00:02 time: 0.0536 data_time: 0.0239 memory: 817 2022/07/29 20:18:04 - mmengine - INFO - Epoch(val) [9][2440/2475] eta: 0:00:06 time: 0.1759 data_time: 0.1450 memory: 817 2022/07/29 20:18:07 - mmengine - INFO - Epoch(val) [9][2460/2475] eta: 0:00:01 time: 0.1121 data_time: 0.0817 memory: 817 2022/07/29 20:18:11 - mmengine - INFO - Epoch(val) [9][2475/2475] acc/top1: 0.6948 acc/top5: 0.8904 acc/mean1: 0.6947 2022/07/29 20:18:11 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_7.pth is removed 2022/07/29 20:18:13 - mmengine - INFO - The best checkpoint with 0.6948 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/07/29 20:18:38 - mmengine - INFO - Epoch(train) [10][20/2505] lr: 3.2000e-04 eta: 1 day, 10:35:11 time: 1.2582 data_time: 0.6829 memory: 32703 grad_norm: 25.8274 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8650 loss: 1.8650 2022/07/29 20:18:57 - mmengine - INFO - Epoch(train) [10][40/2505] lr: 3.2000e-04 eta: 1 day, 10:34:44 time: 0.9559 data_time: 0.3459 memory: 32703 grad_norm: 26.0445 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5078 loss: 1.5078 2022/07/29 20:19:18 - mmengine - INFO - Epoch(train) [10][60/2505] lr: 3.2000e-04 eta: 1 day, 10:34:29 time: 1.0651 data_time: 0.2603 memory: 32703 grad_norm: 26.0021 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6602 loss: 1.6602 2022/07/29 20:19:37 - mmengine - INFO - Epoch(train) [10][80/2505] lr: 3.2000e-04 eta: 1 day, 10:33:58 time: 0.9103 data_time: 0.1497 memory: 32703 grad_norm: 25.0118 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5454 loss: 1.5454 2022/07/29 20:19:59 - mmengine - INFO - Epoch(train) [10][100/2505] lr: 3.2000e-04 eta: 1 day, 10:33:48 time: 1.1170 data_time: 0.2180 memory: 32703 grad_norm: 23.8104 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6316 loss: 1.6316 2022/07/29 20:20:17 - mmengine - INFO - Epoch(train) [10][120/2505] lr: 3.2000e-04 eta: 1 day, 10:33:18 time: 0.9203 data_time: 0.0682 memory: 32703 grad_norm: 25.2325 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5544 loss: 1.5544 2022/07/29 20:20:39 - mmengine - INFO - Epoch(train) [10][140/2505] lr: 3.2000e-04 eta: 1 day, 10:33:07 time: 1.1049 data_time: 0.0409 memory: 32703 grad_norm: 24.2496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6497 loss: 1.6497 2022/07/29 20:20:57 - mmengine - INFO - Epoch(train) [10][160/2505] lr: 3.2000e-04 eta: 1 day, 10:32:33 time: 0.8822 data_time: 0.0290 memory: 32703 grad_norm: 26.5153 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.8865 loss: 1.8865 2022/07/29 20:21:19 - mmengine - INFO - Epoch(train) [10][180/2505] lr: 3.2000e-04 eta: 1 day, 10:32:21 time: 1.0902 data_time: 0.0336 memory: 32703 grad_norm: 25.4623 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7747 loss: 1.7747 2022/07/29 20:21:37 - mmengine - INFO - Epoch(train) [10][200/2505] lr: 3.2000e-04 eta: 1 day, 10:31:46 time: 0.8837 data_time: 0.0283 memory: 32703 grad_norm: 24.6873 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6355 loss: 1.6355 2022/07/29 20:21:57 - mmengine - INFO - Epoch(train) [10][220/2505] lr: 3.2000e-04 eta: 1 day, 10:31:25 time: 1.0010 data_time: 0.0771 memory: 32703 grad_norm: 24.9552 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8968 loss: 1.8968 2022/07/29 20:22:14 - mmengine - INFO - Epoch(train) [10][240/2505] lr: 3.2000e-04 eta: 1 day, 10:30:52 time: 0.8953 data_time: 0.1466 memory: 32703 grad_norm: 26.0008 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3505 loss: 1.3505 2022/07/29 20:22:36 - mmengine - INFO - Epoch(train) [10][260/2505] lr: 3.2000e-04 eta: 1 day, 10:30:39 time: 1.0879 data_time: 0.3201 memory: 32703 grad_norm: 26.0101 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.7830 loss: 1.7830 2022/07/29 20:22:54 - mmengine - INFO - Epoch(train) [10][280/2505] lr: 3.2000e-04 eta: 1 day, 10:30:07 time: 0.9017 data_time: 0.0918 memory: 32703 grad_norm: 25.0868 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6677 loss: 1.6677 2022/07/29 20:23:15 - mmengine - INFO - Epoch(train) [10][300/2505] lr: 3.2000e-04 eta: 1 day, 10:29:50 time: 1.0468 data_time: 0.0310 memory: 32703 grad_norm: 25.3880 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7116 loss: 1.7116 2022/07/29 20:23:34 - mmengine - INFO - Epoch(train) [10][320/2505] lr: 3.2000e-04 eta: 1 day, 10:29:23 time: 0.9524 data_time: 0.0303 memory: 32703 grad_norm: 25.6965 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6541 loss: 1.6541 2022/07/29 20:23:55 - mmengine - INFO - Epoch(train) [10][340/2505] lr: 3.2000e-04 eta: 1 day, 10:29:06 time: 1.0436 data_time: 0.0296 memory: 32703 grad_norm: 26.2570 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8262 loss: 1.8262 2022/07/29 20:24:14 - mmengine - INFO - Epoch(train) [10][360/2505] lr: 3.2000e-04 eta: 1 day, 10:28:37 time: 0.9326 data_time: 0.0328 memory: 32703 grad_norm: 26.6953 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5616 loss: 1.5616 2022/07/29 20:24:33 - mmengine - INFO - Epoch(train) [10][380/2505] lr: 3.2000e-04 eta: 1 day, 10:28:13 time: 0.9828 data_time: 0.0297 memory: 32703 grad_norm: 25.6978 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4898 loss: 1.4898 2022/07/29 20:24:52 - mmengine - INFO - Epoch(train) [10][400/2505] lr: 3.2000e-04 eta: 1 day, 10:27:45 time: 0.9343 data_time: 0.0294 memory: 32703 grad_norm: 25.3322 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8426 loss: 1.8426 2022/07/29 20:25:14 - mmengine - INFO - Epoch(train) [10][420/2505] lr: 3.2000e-04 eta: 1 day, 10:27:30 time: 1.0703 data_time: 0.0286 memory: 32703 grad_norm: 25.1555 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7073 loss: 1.7073 2022/07/29 20:25:33 - mmengine - INFO - Epoch(train) [10][440/2505] lr: 3.2000e-04 eta: 1 day, 10:27:08 time: 0.9975 data_time: 0.0282 memory: 32703 grad_norm: 24.7117 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6720 loss: 1.6720 2022/07/29 20:25:49 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 20:25:54 - mmengine - INFO - Epoch(train) [10][460/2505] lr: 3.2000e-04 eta: 1 day, 10:26:50 time: 1.0350 data_time: 0.0732 memory: 32703 grad_norm: 24.7345 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7734 loss: 1.7734 2022/07/29 20:26:12 - mmengine - INFO - Epoch(train) [10][480/2505] lr: 3.2000e-04 eta: 1 day, 10:26:18 time: 0.8998 data_time: 0.0277 memory: 32703 grad_norm: 25.1760 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3940 loss: 1.3940 2022/07/29 20:26:35 - mmengine - INFO - Epoch(train) [10][500/2505] lr: 3.2000e-04 eta: 1 day, 10:26:08 time: 1.1116 data_time: 0.0796 memory: 32703 grad_norm: 23.6537 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7002 loss: 1.7002 2022/07/29 20:26:54 - mmengine - INFO - Epoch(train) [10][520/2505] lr: 3.2000e-04 eta: 1 day, 10:25:41 time: 0.9525 data_time: 0.0319 memory: 32703 grad_norm: 24.9545 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3688 loss: 1.3688 2022/07/29 20:27:13 - mmengine - INFO - Epoch(train) [10][540/2505] lr: 3.2000e-04 eta: 1 day, 10:25:16 time: 0.9717 data_time: 0.0327 memory: 32703 grad_norm: 24.3554 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6981 loss: 1.6981 2022/07/29 20:27:32 - mmengine - INFO - Epoch(train) [10][560/2505] lr: 3.2000e-04 eta: 1 day, 10:24:50 time: 0.9613 data_time: 0.0312 memory: 32703 grad_norm: 24.0497 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6901 loss: 1.6901 2022/07/29 20:27:53 - mmengine - INFO - Epoch(train) [10][580/2505] lr: 3.2000e-04 eta: 1 day, 10:24:31 time: 1.0212 data_time: 0.0430 memory: 32703 grad_norm: 24.4732 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7379 loss: 1.7379 2022/07/29 20:28:11 - mmengine - INFO - Epoch(train) [10][600/2505] lr: 3.2000e-04 eta: 1 day, 10:24:00 time: 0.9141 data_time: 0.0839 memory: 32703 grad_norm: 25.6953 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7037 loss: 1.7037 2022/07/29 20:28:32 - mmengine - INFO - Epoch(train) [10][620/2505] lr: 3.2000e-04 eta: 1 day, 10:23:41 time: 1.0289 data_time: 0.0680 memory: 32703 grad_norm: 25.4892 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6392 loss: 1.6392 2022/07/29 20:28:51 - mmengine - INFO - Epoch(train) [10][640/2505] lr: 3.2000e-04 eta: 1 day, 10:23:16 time: 0.9669 data_time: 0.0815 memory: 32703 grad_norm: 25.7121 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8336 loss: 1.8336 2022/07/29 20:29:11 - mmengine - INFO - Epoch(train) [10][660/2505] lr: 3.2000e-04 eta: 1 day, 10:22:54 time: 0.9982 data_time: 0.1237 memory: 32703 grad_norm: 25.6752 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6133 loss: 1.6133 2022/07/29 20:29:28 - mmengine - INFO - Epoch(train) [10][680/2505] lr: 3.2000e-04 eta: 1 day, 10:22:19 time: 0.8685 data_time: 0.1901 memory: 32703 grad_norm: 25.7202 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.8394 loss: 1.8394 2022/07/29 20:29:49 - mmengine - INFO - Epoch(train) [10][700/2505] lr: 3.2000e-04 eta: 1 day, 10:22:03 time: 1.0616 data_time: 0.2367 memory: 32703 grad_norm: 25.7547 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9060 loss: 1.9060 2022/07/29 20:30:10 - mmengine - INFO - Epoch(train) [10][720/2505] lr: 3.2000e-04 eta: 1 day, 10:21:46 time: 1.0424 data_time: 0.1126 memory: 32703 grad_norm: 25.0823 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6638 loss: 1.6638 2022/07/29 20:30:31 - mmengine - INFO - Epoch(train) [10][740/2505] lr: 3.2000e-04 eta: 1 day, 10:21:28 time: 1.0379 data_time: 0.1590 memory: 32703 grad_norm: 24.8412 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6138 loss: 1.6138 2022/07/29 20:30:49 - mmengine - INFO - Epoch(train) [10][760/2505] lr: 3.2000e-04 eta: 1 day, 10:20:58 time: 0.9169 data_time: 0.1320 memory: 32703 grad_norm: 24.0045 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6751 loss: 1.6751 2022/07/29 20:31:10 - mmengine - INFO - Epoch(train) [10][780/2505] lr: 3.2000e-04 eta: 1 day, 10:20:41 time: 1.0437 data_time: 0.1399 memory: 32703 grad_norm: 24.9113 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7381 loss: 1.7381 2022/07/29 20:31:28 - mmengine - INFO - Epoch(train) [10][800/2505] lr: 3.2000e-04 eta: 1 day, 10:20:09 time: 0.9076 data_time: 0.1819 memory: 32703 grad_norm: 24.9518 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5379 loss: 1.5379 2022/07/29 20:31:52 - mmengine - INFO - Epoch(train) [10][820/2505] lr: 3.2000e-04 eta: 1 day, 10:20:09 time: 1.2079 data_time: 0.5194 memory: 32703 grad_norm: 25.8895 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6743 loss: 1.6743 2022/07/29 20:32:10 - mmengine - INFO - Epoch(train) [10][840/2505] lr: 3.2000e-04 eta: 1 day, 10:19:37 time: 0.8984 data_time: 0.2496 memory: 32703 grad_norm: 24.2811 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6519 loss: 1.6519 2022/07/29 20:32:31 - mmengine - INFO - Epoch(train) [10][860/2505] lr: 3.2000e-04 eta: 1 day, 10:19:18 time: 1.0214 data_time: 0.2979 memory: 32703 grad_norm: 23.6897 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5903 loss: 1.5903 2022/07/29 20:32:51 - mmengine - INFO - Epoch(train) [10][880/2505] lr: 3.2000e-04 eta: 1 day, 10:18:56 time: 0.9998 data_time: 0.2073 memory: 32703 grad_norm: 24.7709 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7391 loss: 1.7391 2022/07/29 20:33:11 - mmengine - INFO - Epoch(train) [10][900/2505] lr: 3.2000e-04 eta: 1 day, 10:18:36 time: 1.0181 data_time: 0.0924 memory: 32703 grad_norm: 24.9091 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5465 loss: 1.5465 2022/07/29 20:33:30 - mmengine - INFO - Epoch(train) [10][920/2505] lr: 3.2000e-04 eta: 1 day, 10:18:10 time: 0.9529 data_time: 0.0472 memory: 32703 grad_norm: 24.0679 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7756 loss: 1.7756 2022/07/29 20:33:48 - mmengine - INFO - Epoch(train) [10][940/2505] lr: 3.2000e-04 eta: 1 day, 10:17:36 time: 0.8817 data_time: 0.0649 memory: 32703 grad_norm: 24.4811 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7676 loss: 1.7676 2022/07/29 20:34:10 - mmengine - INFO - Epoch(train) [10][960/2505] lr: 3.2000e-04 eta: 1 day, 10:17:23 time: 1.0898 data_time: 0.0309 memory: 32703 grad_norm: 24.7952 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4820 loss: 1.4820 2022/07/29 20:34:29 - mmengine - INFO - Epoch(train) [10][980/2505] lr: 3.2000e-04 eta: 1 day, 10:16:55 time: 0.9403 data_time: 0.0271 memory: 32703 grad_norm: 25.5102 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7197 loss: 1.7197 2022/07/29 20:34:48 - mmengine - INFO - Epoch(train) [10][1000/2505] lr: 3.2000e-04 eta: 1 day, 10:16:32 time: 0.9865 data_time: 0.0321 memory: 32703 grad_norm: 25.1984 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4941 loss: 1.4941 2022/07/29 20:35:10 - mmengine - INFO - Epoch(train) [10][1020/2505] lr: 3.2000e-04 eta: 1 day, 10:16:21 time: 1.1032 data_time: 0.0302 memory: 32703 grad_norm: 25.6525 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7370 loss: 1.7370 2022/07/29 20:35:28 - mmengine - INFO - Epoch(train) [10][1040/2505] lr: 3.2000e-04 eta: 1 day, 10:15:46 time: 0.8653 data_time: 0.0272 memory: 32703 grad_norm: 24.8898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3794 loss: 1.3794 2022/07/29 20:35:49 - mmengine - INFO - Epoch(train) [10][1060/2505] lr: 3.2000e-04 eta: 1 day, 10:15:30 time: 1.0569 data_time: 0.0367 memory: 32703 grad_norm: 25.5918 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6660 loss: 1.6660 2022/07/29 20:36:07 - mmengine - INFO - Epoch(train) [10][1080/2505] lr: 3.2000e-04 eta: 1 day, 10:14:57 time: 0.8913 data_time: 0.0314 memory: 32703 grad_norm: 25.9082 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6665 loss: 1.6665 2022/07/29 20:36:28 - mmengine - INFO - Epoch(train) [10][1100/2505] lr: 3.2000e-04 eta: 1 day, 10:14:40 time: 1.0459 data_time: 0.0272 memory: 32703 grad_norm: 24.7212 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6904 loss: 1.6904 2022/07/29 20:36:46 - mmengine - INFO - Epoch(train) [10][1120/2505] lr: 3.2000e-04 eta: 1 day, 10:14:11 time: 0.9261 data_time: 0.0266 memory: 32703 grad_norm: 26.2481 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5249 loss: 1.5249 2022/07/29 20:37:07 - mmengine - INFO - Epoch(train) [10][1140/2505] lr: 3.2000e-04 eta: 1 day, 10:13:53 time: 1.0341 data_time: 0.0318 memory: 32703 grad_norm: 24.8753 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7995 loss: 1.7995 2022/07/29 20:37:25 - mmengine - INFO - Epoch(train) [10][1160/2505] lr: 3.2000e-04 eta: 1 day, 10:13:22 time: 0.9086 data_time: 0.0282 memory: 32703 grad_norm: 24.3368 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7889 loss: 1.7889 2022/07/29 20:37:47 - mmengine - INFO - Epoch(train) [10][1180/2505] lr: 3.2000e-04 eta: 1 day, 10:13:12 time: 1.1154 data_time: 0.0301 memory: 32703 grad_norm: 24.7175 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6116 loss: 1.6116 2022/07/29 20:38:06 - mmengine - INFO - Epoch(train) [10][1200/2505] lr: 3.2000e-04 eta: 1 day, 10:12:42 time: 0.9222 data_time: 0.0272 memory: 32703 grad_norm: 25.2145 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5263 loss: 1.5263 2022/07/29 20:38:27 - mmengine - INFO - Epoch(train) [10][1220/2505] lr: 3.2000e-04 eta: 1 day, 10:12:27 time: 1.0647 data_time: 0.0386 memory: 32703 grad_norm: 24.7158 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3455 loss: 1.3455 2022/07/29 20:38:45 - mmengine - INFO - Epoch(train) [10][1240/2505] lr: 3.2000e-04 eta: 1 day, 10:11:54 time: 0.8875 data_time: 0.0320 memory: 32703 grad_norm: 25.2938 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7009 loss: 1.7009 2022/07/29 20:39:09 - mmengine - INFO - Epoch(train) [10][1260/2505] lr: 3.2000e-04 eta: 1 day, 10:11:56 time: 1.2329 data_time: 0.0256 memory: 32703 grad_norm: 24.1716 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2935 loss: 1.2935 2022/07/29 20:39:28 - mmengine - INFO - Epoch(train) [10][1280/2505] lr: 3.2000e-04 eta: 1 day, 10:11:29 time: 0.9474 data_time: 0.0421 memory: 32703 grad_norm: 24.9471 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7870 loss: 1.7870 2022/07/29 20:39:46 - mmengine - INFO - Epoch(train) [10][1300/2505] lr: 3.2000e-04 eta: 1 day, 10:10:57 time: 0.8991 data_time: 0.0565 memory: 32703 grad_norm: 24.6437 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5844 loss: 1.5844 2022/07/29 20:40:08 - mmengine - INFO - Epoch(train) [10][1320/2505] lr: 3.2000e-04 eta: 1 day, 10:10:43 time: 1.0683 data_time: 0.1377 memory: 32703 grad_norm: 25.5140 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8266 loss: 1.8266 2022/07/29 20:40:27 - mmengine - INFO - Epoch(train) [10][1340/2505] lr: 3.2000e-04 eta: 1 day, 10:10:18 time: 0.9730 data_time: 0.0354 memory: 32703 grad_norm: 24.4819 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7462 loss: 1.7462 2022/07/29 20:40:49 - mmengine - INFO - Epoch(train) [10][1360/2505] lr: 3.2000e-04 eta: 1 day, 10:10:06 time: 1.0910 data_time: 0.2655 memory: 32703 grad_norm: 25.2745 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5549 loss: 1.5549 2022/07/29 20:41:07 - mmengine - INFO - Epoch(train) [10][1380/2505] lr: 3.2000e-04 eta: 1 day, 10:09:32 time: 0.8802 data_time: 0.2702 memory: 32703 grad_norm: 25.9777 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7324 loss: 1.7324 2022/07/29 20:41:30 - mmengine - INFO - Epoch(train) [10][1400/2505] lr: 3.2000e-04 eta: 1 day, 10:09:27 time: 1.1645 data_time: 0.3457 memory: 32703 grad_norm: 25.5250 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6791 loss: 1.6791 2022/07/29 20:41:44 - mmengine - INFO - Epoch(train) [10][1420/2505] lr: 3.2000e-04 eta: 1 day, 10:08:37 time: 0.7156 data_time: 0.0292 memory: 32703 grad_norm: 25.5196 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4369 loss: 1.4369 2022/07/29 20:42:07 - mmengine - INFO - Epoch(train) [10][1440/2505] lr: 3.2000e-04 eta: 1 day, 10:08:28 time: 1.1229 data_time: 0.0263 memory: 32703 grad_norm: 23.8855 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6200 loss: 1.6200 2022/07/29 20:42:21 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 20:42:24 - mmengine - INFO - Epoch(train) [10][1460/2505] lr: 3.2000e-04 eta: 1 day, 10:07:51 time: 0.8497 data_time: 0.0312 memory: 32703 grad_norm: 25.8221 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6881 loss: 1.6881 2022/07/29 20:42:45 - mmengine - INFO - Epoch(train) [10][1480/2505] lr: 3.2000e-04 eta: 1 day, 10:07:35 time: 1.0560 data_time: 0.0288 memory: 32703 grad_norm: 24.3550 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4613 loss: 1.4613 2022/07/29 20:43:03 - mmengine - INFO - Epoch(train) [10][1500/2505] lr: 3.2000e-04 eta: 1 day, 10:07:03 time: 0.8927 data_time: 0.0322 memory: 32703 grad_norm: 24.0787 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7171 loss: 1.7171 2022/07/29 20:43:25 - mmengine - INFO - Epoch(train) [10][1520/2505] lr: 3.2000e-04 eta: 1 day, 10:06:52 time: 1.1075 data_time: 0.0278 memory: 32703 grad_norm: 25.1824 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.6888 loss: 1.6888 2022/07/29 20:43:42 - mmengine - INFO - Epoch(train) [10][1540/2505] lr: 3.2000e-04 eta: 1 day, 10:06:18 time: 0.8785 data_time: 0.0325 memory: 32703 grad_norm: 25.2903 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9020 loss: 1.9020 2022/07/29 20:44:03 - mmengine - INFO - Epoch(train) [10][1560/2505] lr: 3.2000e-04 eta: 1 day, 10:06:02 time: 1.0542 data_time: 0.0293 memory: 32703 grad_norm: 24.7252 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6147 loss: 1.6147 2022/07/29 20:44:22 - mmengine - INFO - Epoch(train) [10][1580/2505] lr: 3.2000e-04 eta: 1 day, 10:05:32 time: 0.9165 data_time: 0.0272 memory: 32703 grad_norm: 25.5508 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7345 loss: 1.7345 2022/07/29 20:44:43 - mmengine - INFO - Epoch(train) [10][1600/2505] lr: 3.2000e-04 eta: 1 day, 10:05:18 time: 1.0744 data_time: 0.0292 memory: 32703 grad_norm: 24.6340 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8553 loss: 1.8553 2022/07/29 20:45:01 - mmengine - INFO - Epoch(train) [10][1620/2505] lr: 3.2000e-04 eta: 1 day, 10:04:47 time: 0.9046 data_time: 0.0449 memory: 32703 grad_norm: 24.1698 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4073 loss: 1.4073 2022/07/29 20:45:24 - mmengine - INFO - Epoch(train) [10][1640/2505] lr: 3.2000e-04 eta: 1 day, 10:04:38 time: 1.1271 data_time: 0.0341 memory: 32703 grad_norm: 24.8745 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6400 loss: 1.6400 2022/07/29 20:45:43 - mmengine - INFO - Epoch(train) [10][1660/2505] lr: 3.2000e-04 eta: 1 day, 10:04:13 time: 0.9689 data_time: 0.0294 memory: 32703 grad_norm: 23.7672 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9246 loss: 1.9246 2022/07/29 20:46:01 - mmengine - INFO - Epoch(train) [10][1680/2505] lr: 3.2000e-04 eta: 1 day, 10:03:42 time: 0.9070 data_time: 0.0282 memory: 32703 grad_norm: 24.5855 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6309 loss: 1.6309 2022/07/29 20:46:20 - mmengine - INFO - Epoch(train) [10][1700/2505] lr: 3.2000e-04 eta: 1 day, 10:03:15 time: 0.9448 data_time: 0.0311 memory: 32703 grad_norm: 25.8386 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5884 loss: 1.5884 2022/07/29 20:46:41 - mmengine - INFO - Epoch(train) [10][1720/2505] lr: 3.2000e-04 eta: 1 day, 10:02:58 time: 1.0393 data_time: 0.0376 memory: 32703 grad_norm: 24.8388 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.8000 loss: 1.8000 2022/07/29 20:47:00 - mmengine - INFO - Epoch(train) [10][1740/2505] lr: 3.2000e-04 eta: 1 day, 10:02:29 time: 0.9266 data_time: 0.0886 memory: 32703 grad_norm: 23.9886 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5933 loss: 1.5933 2022/07/29 20:47:20 - mmengine - INFO - Epoch(train) [10][1760/2505] lr: 3.2000e-04 eta: 1 day, 10:02:07 time: 0.9994 data_time: 0.1693 memory: 32703 grad_norm: 23.5441 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3494 loss: 1.3494 2022/07/29 20:47:39 - mmengine - INFO - Epoch(train) [10][1780/2505] lr: 3.2000e-04 eta: 1 day, 10:01:43 time: 0.9763 data_time: 0.0267 memory: 32703 grad_norm: 23.8416 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5859 loss: 1.5859 2022/07/29 20:47:59 - mmengine - INFO - Epoch(train) [10][1800/2505] lr: 3.2000e-04 eta: 1 day, 10:01:21 time: 0.9927 data_time: 0.1102 memory: 32703 grad_norm: 24.9024 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6521 loss: 1.6521 2022/07/29 20:48:19 - mmengine - INFO - Epoch(train) [10][1820/2505] lr: 3.2000e-04 eta: 1 day, 10:01:00 time: 1.0038 data_time: 0.0839 memory: 32703 grad_norm: 24.6574 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6252 loss: 1.6252 2022/07/29 20:48:39 - mmengine - INFO - Epoch(train) [10][1840/2505] lr: 3.2000e-04 eta: 1 day, 10:00:40 time: 1.0123 data_time: 0.0343 memory: 32703 grad_norm: 24.6028 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9982 loss: 1.9982 2022/07/29 20:48:59 - mmengine - INFO - Epoch(train) [10][1860/2505] lr: 3.2000e-04 eta: 1 day, 10:00:17 time: 0.9857 data_time: 0.0288 memory: 32703 grad_norm: 24.9396 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7951 loss: 1.7951 2022/07/29 20:49:21 - mmengine - INFO - Epoch(train) [10][1880/2505] lr: 3.2000e-04 eta: 1 day, 10:00:04 time: 1.0844 data_time: 0.0256 memory: 32703 grad_norm: 24.3310 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6193 loss: 1.6193 2022/07/29 20:49:39 - mmengine - INFO - Epoch(train) [10][1900/2505] lr: 3.2000e-04 eta: 1 day, 9:59:34 time: 0.9222 data_time: 0.0270 memory: 32703 grad_norm: 24.6851 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6215 loss: 1.6215 2022/07/29 20:49:59 - mmengine - INFO - Epoch(train) [10][1920/2505] lr: 3.2000e-04 eta: 1 day, 9:59:13 time: 1.0018 data_time: 0.0290 memory: 32703 grad_norm: 24.8471 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8104 loss: 1.8104 2022/07/29 20:50:17 - mmengine - INFO - Epoch(train) [10][1940/2505] lr: 3.2000e-04 eta: 1 day, 9:58:43 time: 0.9081 data_time: 0.0278 memory: 32703 grad_norm: 25.0476 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5810 loss: 1.5810 2022/07/29 20:50:39 - mmengine - INFO - Epoch(train) [10][1960/2505] lr: 3.2000e-04 eta: 1 day, 9:58:29 time: 1.0773 data_time: 0.0390 memory: 32703 grad_norm: 25.5538 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8069 loss: 1.8069 2022/07/29 20:50:56 - mmengine - INFO - Epoch(train) [10][1980/2505] lr: 3.2000e-04 eta: 1 day, 9:57:54 time: 0.8676 data_time: 0.0321 memory: 32703 grad_norm: 24.2438 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7335 loss: 1.7335 2022/07/29 20:51:18 - mmengine - INFO - Epoch(train) [10][2000/2505] lr: 3.2000e-04 eta: 1 day, 9:57:39 time: 1.0661 data_time: 0.0269 memory: 32703 grad_norm: 25.2273 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7861 loss: 1.7861 2022/07/29 20:51:36 - mmengine - INFO - Epoch(train) [10][2020/2505] lr: 3.2000e-04 eta: 1 day, 9:57:11 time: 0.9331 data_time: 0.0290 memory: 32703 grad_norm: 24.6526 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7104 loss: 1.7104 2022/07/29 20:51:57 - mmengine - INFO - Epoch(train) [10][2040/2505] lr: 3.2000e-04 eta: 1 day, 9:56:52 time: 1.0250 data_time: 0.0321 memory: 32703 grad_norm: 24.9091 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5709 loss: 1.5709 2022/07/29 20:52:15 - mmengine - INFO - Epoch(train) [10][2060/2505] lr: 3.2000e-04 eta: 1 day, 9:56:24 time: 0.9295 data_time: 0.0280 memory: 32703 grad_norm: 24.4421 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7696 loss: 1.7696 2022/07/29 20:52:37 - mmengine - INFO - Epoch(train) [10][2080/2505] lr: 3.2000e-04 eta: 1 day, 9:56:11 time: 1.0855 data_time: 0.2483 memory: 32703 grad_norm: 24.7422 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7806 loss: 1.7806 2022/07/29 20:52:57 - mmengine - INFO - Epoch(train) [10][2100/2505] lr: 3.2000e-04 eta: 1 day, 9:55:47 time: 0.9800 data_time: 0.2492 memory: 32703 grad_norm: 24.4075 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5901 loss: 1.5901 2022/07/29 20:53:16 - mmengine - INFO - Epoch(train) [10][2120/2505] lr: 3.2000e-04 eta: 1 day, 9:55:20 time: 0.9450 data_time: 0.2442 memory: 32703 grad_norm: 24.8529 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4534 loss: 1.4534 2022/07/29 20:53:36 - mmengine - INFO - Epoch(train) [10][2140/2505] lr: 3.2000e-04 eta: 1 day, 9:55:02 time: 1.0267 data_time: 0.3787 memory: 32703 grad_norm: 25.0464 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.6855 loss: 1.6855 2022/07/29 20:53:55 - mmengine - INFO - Epoch(train) [10][2160/2505] lr: 3.2000e-04 eta: 1 day, 9:54:33 time: 0.9293 data_time: 0.2014 memory: 32703 grad_norm: 24.5830 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6885 loss: 1.6885 2022/07/29 20:54:15 - mmengine - INFO - Epoch(train) [10][2180/2505] lr: 3.2000e-04 eta: 1 day, 9:54:14 time: 1.0230 data_time: 0.2783 memory: 32703 grad_norm: 24.9393 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6214 loss: 1.6214 2022/07/29 20:54:34 - mmengine - INFO - Epoch(train) [10][2200/2505] lr: 3.2000e-04 eta: 1 day, 9:53:46 time: 0.9287 data_time: 0.0757 memory: 32703 grad_norm: 24.7773 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7021 loss: 1.7021 2022/07/29 20:54:53 - mmengine - INFO - Epoch(train) [10][2220/2505] lr: 3.2000e-04 eta: 1 day, 9:53:21 time: 0.9667 data_time: 0.0328 memory: 32703 grad_norm: 24.1431 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6459 loss: 1.6459 2022/07/29 20:55:15 - mmengine - INFO - Epoch(train) [10][2240/2505] lr: 3.2000e-04 eta: 1 day, 9:53:09 time: 1.0977 data_time: 0.0338 memory: 32703 grad_norm: 23.6186 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7968 loss: 1.7968 2022/07/29 20:55:35 - mmengine - INFO - Epoch(train) [10][2260/2505] lr: 3.2000e-04 eta: 1 day, 9:52:47 time: 0.9936 data_time: 0.0291 memory: 32703 grad_norm: 24.3753 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4425 loss: 1.4425 2022/07/29 20:55:52 - mmengine - INFO - Epoch(train) [10][2280/2505] lr: 3.2000e-04 eta: 1 day, 9:52:10 time: 0.8432 data_time: 0.0973 memory: 32703 grad_norm: 24.0858 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6019 loss: 1.6019 2022/07/29 20:56:13 - mmengine - INFO - Epoch(train) [10][2300/2505] lr: 3.2000e-04 eta: 1 day, 9:51:53 time: 1.0429 data_time: 0.1750 memory: 32703 grad_norm: 25.0511 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3679 loss: 1.3679 2022/07/29 20:56:32 - mmengine - INFO - Epoch(train) [10][2320/2505] lr: 3.2000e-04 eta: 1 day, 9:51:29 time: 0.9741 data_time: 0.1713 memory: 32703 grad_norm: 25.0024 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6985 loss: 1.6985 2022/07/29 20:56:52 - mmengine - INFO - Epoch(train) [10][2340/2505] lr: 3.2000e-04 eta: 1 day, 9:51:09 time: 1.0149 data_time: 0.2989 memory: 32703 grad_norm: 24.2081 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8335 loss: 1.8335 2022/07/29 20:57:12 - mmengine - INFO - Epoch(train) [10][2360/2505] lr: 3.2000e-04 eta: 1 day, 9:50:43 time: 0.9568 data_time: 0.1467 memory: 32703 grad_norm: 25.3368 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8489 loss: 1.8489 2022/07/29 20:57:31 - mmengine - INFO - Epoch(train) [10][2380/2505] lr: 3.2000e-04 eta: 1 day, 9:50:21 time: 0.9887 data_time: 0.2891 memory: 32703 grad_norm: 24.8957 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4639 loss: 1.4639 2022/07/29 20:57:51 - mmengine - INFO - Epoch(train) [10][2400/2505] lr: 3.2000e-04 eta: 1 day, 9:49:59 time: 0.9979 data_time: 0.1359 memory: 32703 grad_norm: 24.4233 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4947 loss: 1.4947 2022/07/29 20:58:11 - mmengine - INFO - Epoch(train) [10][2420/2505] lr: 3.2000e-04 eta: 1 day, 9:49:37 time: 0.9865 data_time: 0.1744 memory: 32703 grad_norm: 25.2470 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7331 loss: 1.7331 2022/07/29 20:58:31 - mmengine - INFO - Epoch(train) [10][2440/2505] lr: 3.2000e-04 eta: 1 day, 9:49:13 time: 0.9803 data_time: 0.0454 memory: 32703 grad_norm: 24.1606 top1_acc: 0.4167 top5_acc: 1.0000 loss_cls: 1.7122 loss: 1.7122 2022/07/29 20:58:45 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 20:58:50 - mmengine - INFO - Epoch(train) [10][2460/2505] lr: 3.2000e-04 eta: 1 day, 9:48:48 time: 0.9627 data_time: 0.0405 memory: 32703 grad_norm: 25.1931 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5978 loss: 1.5978 2022/07/29 20:59:11 - mmengine - INFO - Epoch(train) [10][2480/2505] lr: 3.2000e-04 eta: 1 day, 9:48:30 time: 1.0340 data_time: 0.1152 memory: 32703 grad_norm: 24.6961 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5069 loss: 1.5069 2022/07/29 20:59:28 - mmengine - INFO - Epoch(train) [10][2500/2505] lr: 3.2000e-04 eta: 1 day, 9:47:58 time: 0.8841 data_time: 0.0649 memory: 32703 grad_norm: 24.2990 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5883 loss: 1.5883 2022/07/29 20:59:32 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 20:59:32 - mmengine - INFO - Epoch(train) [10][2505/2505] lr: 3.2000e-04 eta: 1 day, 9:47:58 time: 0.8728 data_time: 0.0422 memory: 32703 grad_norm: 24.5518 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6158 loss: 1.6158 2022/07/29 20:59:32 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/07/29 21:00:00 - mmengine - INFO - Epoch(train) [11][20/2505] lr: 3.5000e-04 eta: 1 day, 9:47:38 time: 1.3264 data_time: 0.7305 memory: 32703 grad_norm: 24.7309 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6422 loss: 1.6422 2022/07/29 21:00:19 - mmengine - INFO - Epoch(train) [11][40/2505] lr: 3.5000e-04 eta: 1 day, 9:47:10 time: 0.9283 data_time: 0.3470 memory: 32703 grad_norm: 24.7196 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6725 loss: 1.6725 2022/07/29 21:00:40 - mmengine - INFO - Epoch(train) [11][60/2505] lr: 3.5000e-04 eta: 1 day, 9:46:54 time: 1.0595 data_time: 0.4924 memory: 32703 grad_norm: 25.1288 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7214 loss: 1.7214 2022/07/29 21:00:58 - mmengine - INFO - Epoch(train) [11][80/2505] lr: 3.5000e-04 eta: 1 day, 9:46:26 time: 0.9257 data_time: 0.3009 memory: 32703 grad_norm: 25.1921 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5863 loss: 1.5863 2022/07/29 21:01:21 - mmengine - INFO - Epoch(train) [11][100/2505] lr: 3.5000e-04 eta: 1 day, 9:46:16 time: 1.1203 data_time: 0.5014 memory: 32703 grad_norm: 24.4829 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4246 loss: 1.4246 2022/07/29 21:01:38 - mmengine - INFO - Epoch(train) [11][120/2505] lr: 3.5000e-04 eta: 1 day, 9:45:42 time: 0.8646 data_time: 0.2074 memory: 32703 grad_norm: 24.2852 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7371 loss: 1.7371 2022/07/29 21:01:59 - mmengine - INFO - Epoch(train) [11][140/2505] lr: 3.5000e-04 eta: 1 day, 9:45:27 time: 1.0698 data_time: 0.3035 memory: 32703 grad_norm: 24.5204 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8529 loss: 1.8529 2022/07/29 21:02:17 - mmengine - INFO - Epoch(train) [11][160/2505] lr: 3.5000e-04 eta: 1 day, 9:44:55 time: 0.8865 data_time: 0.1943 memory: 32703 grad_norm: 23.9957 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6581 loss: 1.6581 2022/07/29 21:02:38 - mmengine - INFO - Epoch(train) [11][180/2505] lr: 3.5000e-04 eta: 1 day, 9:44:38 time: 1.0485 data_time: 0.1424 memory: 32703 grad_norm: 24.5502 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6363 loss: 1.6363 2022/07/29 21:02:56 - mmengine - INFO - Epoch(train) [11][200/2505] lr: 3.5000e-04 eta: 1 day, 9:44:08 time: 0.9055 data_time: 0.1211 memory: 32703 grad_norm: 24.1882 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.5244 loss: 1.5244 2022/07/29 21:03:18 - mmengine - INFO - Epoch(train) [11][220/2505] lr: 3.5000e-04 eta: 1 day, 9:43:54 time: 1.0827 data_time: 0.2310 memory: 32703 grad_norm: 24.1646 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6436 loss: 1.6436 2022/07/29 21:03:37 - mmengine - INFO - Epoch(train) [11][240/2505] lr: 3.5000e-04 eta: 1 day, 9:43:27 time: 0.9355 data_time: 0.1311 memory: 32703 grad_norm: 26.0355 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6438 loss: 1.6438 2022/07/29 21:03:57 - mmengine - INFO - Epoch(train) [11][260/2505] lr: 3.5000e-04 eta: 1 day, 9:43:09 time: 1.0349 data_time: 0.1396 memory: 32703 grad_norm: 25.1185 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5932 loss: 1.5932 2022/07/29 21:04:17 - mmengine - INFO - Epoch(train) [11][280/2505] lr: 3.5000e-04 eta: 1 day, 9:42:47 time: 0.9985 data_time: 0.2545 memory: 32703 grad_norm: 24.2514 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7906 loss: 1.7906 2022/07/29 21:04:38 - mmengine - INFO - Epoch(train) [11][300/2505] lr: 3.5000e-04 eta: 1 day, 9:42:29 time: 1.0377 data_time: 0.2855 memory: 32703 grad_norm: 23.8540 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6227 loss: 1.6227 2022/07/29 21:04:56 - mmengine - INFO - Epoch(train) [11][320/2505] lr: 3.5000e-04 eta: 1 day, 9:41:57 time: 0.8871 data_time: 0.0264 memory: 32703 grad_norm: 24.3049 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6872 loss: 1.6872 2022/07/29 21:05:19 - mmengine - INFO - Epoch(train) [11][340/2505] lr: 3.5000e-04 eta: 1 day, 9:41:50 time: 1.1444 data_time: 0.3181 memory: 32703 grad_norm: 24.5188 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6721 loss: 1.6721 2022/07/29 21:05:36 - mmengine - INFO - Epoch(train) [11][360/2505] lr: 3.5000e-04 eta: 1 day, 9:41:17 time: 0.8840 data_time: 0.2293 memory: 32703 grad_norm: 23.5400 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6198 loss: 1.6198 2022/07/29 21:05:58 - mmengine - INFO - Epoch(train) [11][380/2505] lr: 3.5000e-04 eta: 1 day, 9:41:04 time: 1.0828 data_time: 0.2597 memory: 32703 grad_norm: 24.3956 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7519 loss: 1.7519 2022/07/29 21:06:16 - mmengine - INFO - Epoch(train) [11][400/2505] lr: 3.5000e-04 eta: 1 day, 9:40:32 time: 0.8928 data_time: 0.1949 memory: 32703 grad_norm: 23.0439 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7829 loss: 1.7829 2022/07/29 21:06:37 - mmengine - INFO - Epoch(train) [11][420/2505] lr: 3.5000e-04 eta: 1 day, 9:40:19 time: 1.0825 data_time: 0.2841 memory: 32703 grad_norm: 24.4712 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5744 loss: 1.5744 2022/07/29 21:06:55 - mmengine - INFO - Epoch(train) [11][440/2505] lr: 3.5000e-04 eta: 1 day, 9:39:48 time: 0.8963 data_time: 0.1829 memory: 32703 grad_norm: 23.9961 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6682 loss: 1.6682 2022/07/29 21:07:17 - mmengine - INFO - Epoch(train) [11][460/2505] lr: 3.5000e-04 eta: 1 day, 9:39:32 time: 1.0599 data_time: 0.3521 memory: 32703 grad_norm: 24.7747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6090 loss: 1.6090 2022/07/29 21:07:34 - mmengine - INFO - Epoch(train) [11][480/2505] lr: 3.5000e-04 eta: 1 day, 9:38:56 time: 0.8464 data_time: 0.1615 memory: 32703 grad_norm: 24.1971 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.6075 loss: 1.6075 2022/07/29 21:07:55 - mmengine - INFO - Epoch(train) [11][500/2505] lr: 3.5000e-04 eta: 1 day, 9:38:43 time: 1.0818 data_time: 0.3436 memory: 32703 grad_norm: 24.5634 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8418 loss: 1.8418 2022/07/29 21:08:14 - mmengine - INFO - Epoch(train) [11][520/2505] lr: 3.5000e-04 eta: 1 day, 9:38:17 time: 0.9520 data_time: 0.2614 memory: 32703 grad_norm: 24.8108 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5964 loss: 1.5964 2022/07/29 21:08:34 - mmengine - INFO - Epoch(train) [11][540/2505] lr: 3.5000e-04 eta: 1 day, 9:37:56 time: 1.0028 data_time: 0.3865 memory: 32703 grad_norm: 24.1387 top1_acc: 0.4167 top5_acc: 1.0000 loss_cls: 1.4119 loss: 1.4119 2022/07/29 21:08:54 - mmengine - INFO - Epoch(train) [11][560/2505] lr: 3.5000e-04 eta: 1 day, 9:37:32 time: 0.9717 data_time: 0.3036 memory: 32703 grad_norm: 23.7172 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9038 loss: 1.9038 2022/07/29 21:09:14 - mmengine - INFO - Epoch(train) [11][580/2505] lr: 3.5000e-04 eta: 1 day, 9:37:12 time: 1.0196 data_time: 0.2533 memory: 32703 grad_norm: 24.5656 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3978 loss: 1.3978 2022/07/29 21:09:33 - mmengine - INFO - Epoch(train) [11][600/2505] lr: 3.5000e-04 eta: 1 day, 9:36:45 time: 0.9367 data_time: 0.2244 memory: 32703 grad_norm: 25.0817 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8528 loss: 1.8528 2022/07/29 21:09:53 - mmengine - INFO - Epoch(train) [11][620/2505] lr: 3.5000e-04 eta: 1 day, 9:36:24 time: 0.9957 data_time: 0.2946 memory: 32703 grad_norm: 24.0189 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6527 loss: 1.6527 2022/07/29 21:10:11 - mmengine - INFO - Epoch(train) [11][640/2505] lr: 3.5000e-04 eta: 1 day, 9:35:56 time: 0.9332 data_time: 0.1683 memory: 32703 grad_norm: 23.9945 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9627 loss: 1.9627 2022/07/29 21:10:32 - mmengine - INFO - Epoch(train) [11][660/2505] lr: 3.5000e-04 eta: 1 day, 9:35:37 time: 1.0244 data_time: 0.1247 memory: 32703 grad_norm: 23.8874 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7016 loss: 1.7016 2022/07/29 21:10:52 - mmengine - INFO - Epoch(train) [11][680/2505] lr: 3.5000e-04 eta: 1 day, 9:35:15 time: 0.9928 data_time: 0.1980 memory: 32703 grad_norm: 23.4583 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5853 loss: 1.5853 2022/07/29 21:11:12 - mmengine - INFO - Epoch(train) [11][700/2505] lr: 3.5000e-04 eta: 1 day, 9:34:56 time: 1.0280 data_time: 0.2284 memory: 32703 grad_norm: 24.3099 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4720 loss: 1.4720 2022/07/29 21:11:31 - mmengine - INFO - Epoch(train) [11][720/2505] lr: 3.5000e-04 eta: 1 day, 9:34:28 time: 0.9178 data_time: 0.1582 memory: 32703 grad_norm: 24.1934 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6053 loss: 1.6053 2022/07/29 21:11:53 - mmengine - INFO - Epoch(train) [11][740/2505] lr: 3.5000e-04 eta: 1 day, 9:34:18 time: 1.1315 data_time: 0.4650 memory: 32703 grad_norm: 24.9096 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8963 loss: 1.8963 2022/07/29 21:12:12 - mmengine - INFO - Epoch(train) [11][760/2505] lr: 3.5000e-04 eta: 1 day, 9:33:50 time: 0.9184 data_time: 0.3245 memory: 32703 grad_norm: 23.3108 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6811 loss: 1.6811 2022/07/29 21:12:33 - mmengine - INFO - Epoch(train) [11][780/2505] lr: 3.5000e-04 eta: 1 day, 9:33:33 time: 1.0524 data_time: 0.4618 memory: 32703 grad_norm: 24.9028 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5386 loss: 1.5386 2022/07/29 21:12:51 - mmengine - INFO - Epoch(train) [11][800/2505] lr: 3.5000e-04 eta: 1 day, 9:33:04 time: 0.9125 data_time: 0.2963 memory: 32703 grad_norm: 24.7768 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6285 loss: 1.6285 2022/07/29 21:13:10 - mmengine - INFO - Epoch(train) [11][820/2505] lr: 3.5000e-04 eta: 1 day, 9:32:38 time: 0.9469 data_time: 0.2611 memory: 32703 grad_norm: 23.9113 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5509 loss: 1.5509 2022/07/29 21:13:27 - mmengine - INFO - Epoch(train) [11][840/2505] lr: 3.5000e-04 eta: 1 day, 9:32:04 time: 0.8614 data_time: 0.1515 memory: 32703 grad_norm: 23.7266 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4676 loss: 1.4676 2022/07/29 21:13:48 - mmengine - INFO - Epoch(train) [11][860/2505] lr: 3.5000e-04 eta: 1 day, 9:31:47 time: 1.0520 data_time: 0.0501 memory: 32703 grad_norm: 24.0471 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.8037 loss: 1.8037 2022/07/29 21:14:07 - mmengine - INFO - Epoch(train) [11][880/2505] lr: 3.5000e-04 eta: 1 day, 9:31:22 time: 0.9609 data_time: 0.0824 memory: 32703 grad_norm: 22.7796 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4953 loss: 1.4953 2022/07/29 21:14:28 - mmengine - INFO - Epoch(train) [11][900/2505] lr: 3.5000e-04 eta: 1 day, 9:31:05 time: 1.0477 data_time: 0.1751 memory: 32703 grad_norm: 24.4848 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.6771 loss: 1.6771 2022/07/29 21:14:47 - mmengine - INFO - Epoch(train) [11][920/2505] lr: 3.5000e-04 eta: 1 day, 9:30:38 time: 0.9325 data_time: 0.1742 memory: 32703 grad_norm: 24.2557 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7728 loss: 1.7728 2022/07/29 21:15:10 - mmengine - INFO - Epoch(train) [11][940/2505] lr: 3.5000e-04 eta: 1 day, 9:30:28 time: 1.1263 data_time: 0.2646 memory: 32703 grad_norm: 23.9557 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5692 loss: 1.5692 2022/07/29 21:15:19 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 21:15:28 - mmengine - INFO - Epoch(train) [11][960/2505] lr: 3.5000e-04 eta: 1 day, 9:29:59 time: 0.9092 data_time: 0.2954 memory: 32703 grad_norm: 23.5755 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6997 loss: 1.6997 2022/07/29 21:15:48 - mmengine - INFO - Epoch(train) [11][980/2505] lr: 3.5000e-04 eta: 1 day, 9:29:39 time: 1.0185 data_time: 0.4009 memory: 32703 grad_norm: 24.9563 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7629 loss: 1.7629 2022/07/29 21:16:05 - mmengine - INFO - Epoch(train) [11][1000/2505] lr: 3.5000e-04 eta: 1 day, 9:29:04 time: 0.8439 data_time: 0.1184 memory: 32703 grad_norm: 25.1139 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6110 loss: 1.6110 2022/07/29 21:16:27 - mmengine - INFO - Epoch(train) [11][1020/2505] lr: 3.5000e-04 eta: 1 day, 9:28:50 time: 1.0825 data_time: 0.2335 memory: 32703 grad_norm: 24.5675 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8503 loss: 1.8503 2022/07/29 21:16:46 - mmengine - INFO - Epoch(train) [11][1040/2505] lr: 3.5000e-04 eta: 1 day, 9:28:24 time: 0.9491 data_time: 0.1982 memory: 32703 grad_norm: 24.0564 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7914 loss: 1.7914 2022/07/29 21:17:06 - mmengine - INFO - Epoch(train) [11][1060/2505] lr: 3.5000e-04 eta: 1 day, 9:28:03 time: 1.0048 data_time: 0.0611 memory: 32703 grad_norm: 24.7853 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6491 loss: 1.6491 2022/07/29 21:17:26 - mmengine - INFO - Epoch(train) [11][1080/2505] lr: 3.5000e-04 eta: 1 day, 9:27:43 time: 1.0067 data_time: 0.0960 memory: 32703 grad_norm: 23.4508 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5373 loss: 1.5373 2022/07/29 21:17:45 - mmengine - INFO - Epoch(train) [11][1100/2505] lr: 3.5000e-04 eta: 1 day, 9:27:18 time: 0.9585 data_time: 0.1230 memory: 32703 grad_norm: 23.8394 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5592 loss: 1.5592 2022/07/29 21:18:05 - mmengine - INFO - Epoch(train) [11][1120/2505] lr: 3.5000e-04 eta: 1 day, 9:26:55 time: 0.9858 data_time: 0.1587 memory: 32703 grad_norm: 24.0020 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5851 loss: 1.5851 2022/07/29 21:18:24 - mmengine - INFO - Epoch(train) [11][1140/2505] lr: 3.5000e-04 eta: 1 day, 9:26:32 time: 0.9778 data_time: 0.0391 memory: 32703 grad_norm: 23.7926 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3372 loss: 1.3372 2022/07/29 21:18:45 - mmengine - INFO - Epoch(train) [11][1160/2505] lr: 3.5000e-04 eta: 1 day, 9:26:13 time: 1.0238 data_time: 0.0278 memory: 32703 grad_norm: 24.4157 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5376 loss: 1.5376 2022/07/29 21:19:04 - mmengine - INFO - Epoch(train) [11][1180/2505] lr: 3.5000e-04 eta: 1 day, 9:25:46 time: 0.9353 data_time: 0.0323 memory: 32703 grad_norm: 24.4106 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8700 loss: 1.8700 2022/07/29 21:19:24 - mmengine - INFO - Epoch(train) [11][1200/2505] lr: 3.5000e-04 eta: 1 day, 9:25:26 time: 1.0131 data_time: 0.0373 memory: 32703 grad_norm: 24.3372 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.8349 loss: 1.8349 2022/07/29 21:19:43 - mmengine - INFO - Epoch(train) [11][1220/2505] lr: 3.5000e-04 eta: 1 day, 9:25:00 time: 0.9426 data_time: 0.0317 memory: 32703 grad_norm: 23.9675 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5084 loss: 1.5084 2022/07/29 21:20:04 - mmengine - INFO - Epoch(train) [11][1240/2505] lr: 3.5000e-04 eta: 1 day, 9:24:42 time: 1.0425 data_time: 0.0330 memory: 32703 grad_norm: 23.7622 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7780 loss: 1.7780 2022/07/29 21:20:23 - mmengine - INFO - Epoch(train) [11][1260/2505] lr: 3.5000e-04 eta: 1 day, 9:24:18 time: 0.9713 data_time: 0.0320 memory: 32703 grad_norm: 23.7416 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6878 loss: 1.6878 2022/07/29 21:20:45 - mmengine - INFO - Epoch(train) [11][1280/2505] lr: 3.5000e-04 eta: 1 day, 9:24:05 time: 1.0899 data_time: 0.0283 memory: 32703 grad_norm: 23.3245 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6207 loss: 1.6207 2022/07/29 21:21:03 - mmengine - INFO - Epoch(train) [11][1300/2505] lr: 3.5000e-04 eta: 1 day, 9:23:39 time: 0.9377 data_time: 0.0310 memory: 32703 grad_norm: 24.0849 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8199 loss: 1.8199 2022/07/29 21:21:23 - mmengine - INFO - Epoch(train) [11][1320/2505] lr: 3.5000e-04 eta: 1 day, 9:23:13 time: 0.9555 data_time: 0.0299 memory: 32703 grad_norm: 22.7719 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6448 loss: 1.6448 2022/07/29 21:21:41 - mmengine - INFO - Epoch(train) [11][1340/2505] lr: 3.5000e-04 eta: 1 day, 9:22:43 time: 0.8963 data_time: 0.0268 memory: 32703 grad_norm: 23.5267 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7388 loss: 1.7388 2022/07/29 21:22:03 - mmengine - INFO - Epoch(train) [11][1360/2505] lr: 3.5000e-04 eta: 1 day, 9:22:35 time: 1.1436 data_time: 0.0316 memory: 32703 grad_norm: 25.2376 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8888 loss: 1.8888 2022/07/29 21:22:22 - mmengine - INFO - Epoch(train) [11][1380/2505] lr: 3.5000e-04 eta: 1 day, 9:22:06 time: 0.9126 data_time: 0.0322 memory: 32703 grad_norm: 24.2933 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8639 loss: 1.8639 2022/07/29 21:22:45 - mmengine - INFO - Epoch(train) [11][1400/2505] lr: 3.5000e-04 eta: 1 day, 9:21:59 time: 1.1626 data_time: 0.0352 memory: 32703 grad_norm: 23.6750 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4896 loss: 1.4896 2022/07/29 21:23:00 - mmengine - INFO - Epoch(train) [11][1420/2505] lr: 3.5000e-04 eta: 1 day, 9:21:16 time: 0.7582 data_time: 0.0284 memory: 32703 grad_norm: 24.8980 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6891 loss: 1.6891 2022/07/29 21:23:19 - mmengine - INFO - Epoch(train) [11][1440/2505] lr: 3.5000e-04 eta: 1 day, 9:20:52 time: 0.9657 data_time: 0.0309 memory: 32703 grad_norm: 23.7246 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5402 loss: 1.5402 2022/07/29 21:23:38 - mmengine - INFO - Epoch(train) [11][1460/2505] lr: 3.5000e-04 eta: 1 day, 9:20:24 time: 0.9244 data_time: 0.0403 memory: 32703 grad_norm: 25.7937 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4761 loss: 1.4761 2022/07/29 21:23:59 - mmengine - INFO - Epoch(train) [11][1480/2505] lr: 3.5000e-04 eta: 1 day, 9:20:06 time: 1.0399 data_time: 0.0300 memory: 32703 grad_norm: 24.4357 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5826 loss: 1.5826 2022/07/29 21:24:17 - mmengine - INFO - Epoch(train) [11][1500/2505] lr: 3.5000e-04 eta: 1 day, 9:19:36 time: 0.8969 data_time: 0.0351 memory: 32703 grad_norm: 24.0567 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6610 loss: 1.6610 2022/07/29 21:24:38 - mmengine - INFO - Epoch(train) [11][1520/2505] lr: 3.5000e-04 eta: 1 day, 9:19:22 time: 1.0809 data_time: 0.0293 memory: 32703 grad_norm: 24.3349 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8411 loss: 1.8411 2022/07/29 21:24:56 - mmengine - INFO - Epoch(train) [11][1540/2505] lr: 3.5000e-04 eta: 1 day, 9:18:52 time: 0.8977 data_time: 0.0293 memory: 32703 grad_norm: 25.5903 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5268 loss: 1.5268 2022/07/29 21:25:18 - mmengine - INFO - Epoch(train) [11][1560/2505] lr: 3.5000e-04 eta: 1 day, 9:18:39 time: 1.0977 data_time: 0.0303 memory: 32703 grad_norm: 23.8565 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5806 loss: 1.5806 2022/07/29 21:25:36 - mmengine - INFO - Epoch(train) [11][1580/2505] lr: 3.5000e-04 eta: 1 day, 9:18:10 time: 0.9094 data_time: 0.0324 memory: 32703 grad_norm: 23.4197 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.5443 loss: 1.5443 2022/07/29 21:25:58 - mmengine - INFO - Epoch(train) [11][1600/2505] lr: 3.5000e-04 eta: 1 day, 9:17:58 time: 1.1007 data_time: 0.0296 memory: 32703 grad_norm: 23.5283 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5977 loss: 1.5977 2022/07/29 21:26:17 - mmengine - INFO - Epoch(train) [11][1620/2505] lr: 3.5000e-04 eta: 1 day, 9:17:29 time: 0.9085 data_time: 0.0325 memory: 32703 grad_norm: 24.4457 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5566 loss: 1.5566 2022/07/29 21:26:38 - mmengine - INFO - Epoch(train) [11][1640/2505] lr: 3.5000e-04 eta: 1 day, 9:17:13 time: 1.0606 data_time: 0.0307 memory: 32703 grad_norm: 23.9237 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8476 loss: 1.8476 2022/07/29 21:26:56 - mmengine - INFO - Epoch(train) [11][1660/2505] lr: 3.5000e-04 eta: 1 day, 9:16:45 time: 0.9186 data_time: 0.0396 memory: 32703 grad_norm: 24.7364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7149 loss: 1.7149 2022/07/29 21:27:17 - mmengine - INFO - Epoch(train) [11][1680/2505] lr: 3.5000e-04 eta: 1 day, 9:16:26 time: 1.0316 data_time: 0.0287 memory: 32703 grad_norm: 26.0257 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7727 loss: 1.7727 2022/07/29 21:27:35 - mmengine - INFO - Epoch(train) [11][1700/2505] lr: 3.5000e-04 eta: 1 day, 9:15:59 time: 0.9264 data_time: 0.0269 memory: 32703 grad_norm: 24.0236 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4716 loss: 1.4716 2022/07/29 21:27:57 - mmengine - INFO - Epoch(train) [11][1720/2505] lr: 3.5000e-04 eta: 1 day, 9:15:43 time: 1.0595 data_time: 0.0321 memory: 32703 grad_norm: 23.3640 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6926 loss: 1.6926 2022/07/29 21:28:14 - mmengine - INFO - Epoch(train) [11][1740/2505] lr: 3.5000e-04 eta: 1 day, 9:15:12 time: 0.8914 data_time: 0.0334 memory: 32703 grad_norm: 24.0392 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6779 loss: 1.6779 2022/07/29 21:28:36 - mmengine - INFO - Epoch(train) [11][1760/2505] lr: 3.5000e-04 eta: 1 day, 9:14:59 time: 1.0871 data_time: 0.0335 memory: 32703 grad_norm: 23.9055 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5988 loss: 1.5988 2022/07/29 21:28:55 - mmengine - INFO - Epoch(train) [11][1780/2505] lr: 3.5000e-04 eta: 1 day, 9:14:32 time: 0.9345 data_time: 0.0299 memory: 32703 grad_norm: 23.8811 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5496 loss: 1.5496 2022/07/29 21:29:14 - mmengine - INFO - Epoch(train) [11][1800/2505] lr: 3.5000e-04 eta: 1 day, 9:14:08 time: 0.9697 data_time: 0.0319 memory: 32703 grad_norm: 24.6303 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6987 loss: 1.6987 2022/07/29 21:29:34 - mmengine - INFO - Epoch(train) [11][1820/2505] lr: 3.5000e-04 eta: 1 day, 9:13:47 time: 1.0007 data_time: 0.0314 memory: 32703 grad_norm: 23.9996 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7293 loss: 1.7293 2022/07/29 21:29:54 - mmengine - INFO - Epoch(train) [11][1840/2505] lr: 3.5000e-04 eta: 1 day, 9:13:23 time: 0.9686 data_time: 0.0269 memory: 32703 grad_norm: 23.7130 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8729 loss: 1.8729 2022/07/29 21:30:16 - mmengine - INFO - Epoch(train) [11][1860/2505] lr: 3.5000e-04 eta: 1 day, 9:13:12 time: 1.1099 data_time: 0.0287 memory: 32703 grad_norm: 24.1545 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5215 loss: 1.5215 2022/07/29 21:30:34 - mmengine - INFO - Epoch(train) [11][1880/2505] lr: 3.5000e-04 eta: 1 day, 9:12:42 time: 0.8984 data_time: 0.0258 memory: 32703 grad_norm: 23.1096 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5557 loss: 1.5557 2022/07/29 21:30:55 - mmengine - INFO - Epoch(train) [11][1900/2505] lr: 3.5000e-04 eta: 1 day, 9:12:24 time: 1.0425 data_time: 0.0340 memory: 32703 grad_norm: 23.9242 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6081 loss: 1.6081 2022/07/29 21:31:13 - mmengine - INFO - Epoch(train) [11][1920/2505] lr: 3.5000e-04 eta: 1 day, 9:11:55 time: 0.9112 data_time: 0.0286 memory: 32703 grad_norm: 23.8725 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5974 loss: 1.5974 2022/07/29 21:31:34 - mmengine - INFO - Epoch(train) [11][1940/2505] lr: 3.5000e-04 eta: 1 day, 9:11:38 time: 1.0394 data_time: 0.0318 memory: 32703 grad_norm: 22.7618 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5430 loss: 1.5430 2022/07/29 21:31:43 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 21:31:52 - mmengine - INFO - Epoch(train) [11][1960/2505] lr: 3.5000e-04 eta: 1 day, 9:11:11 time: 0.9300 data_time: 0.0299 memory: 32703 grad_norm: 25.1865 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8683 loss: 1.8683 2022/07/29 21:32:13 - mmengine - INFO - Epoch(train) [11][1980/2505] lr: 3.5000e-04 eta: 1 day, 9:10:55 time: 1.0617 data_time: 0.0310 memory: 32703 grad_norm: 24.7809 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4994 loss: 1.4994 2022/07/29 21:32:31 - mmengine - INFO - Epoch(train) [11][2000/2505] lr: 3.5000e-04 eta: 1 day, 9:10:25 time: 0.8946 data_time: 0.0321 memory: 32703 grad_norm: 24.4317 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7367 loss: 1.7367 2022/07/29 21:32:51 - mmengine - INFO - Epoch(train) [11][2020/2505] lr: 3.5000e-04 eta: 1 day, 9:10:01 time: 0.9757 data_time: 0.0593 memory: 32703 grad_norm: 23.8516 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5823 loss: 1.5823 2022/07/29 21:33:13 - mmengine - INFO - Epoch(train) [11][2040/2505] lr: 3.5000e-04 eta: 1 day, 9:09:48 time: 1.0912 data_time: 0.0291 memory: 32703 grad_norm: 24.0633 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5495 loss: 1.5495 2022/07/29 21:33:30 - mmengine - INFO - Epoch(train) [11][2060/2505] lr: 3.5000e-04 eta: 1 day, 9:09:18 time: 0.8929 data_time: 0.0315 memory: 32703 grad_norm: 23.3915 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5270 loss: 1.5270 2022/07/29 21:33:52 - mmengine - INFO - Epoch(train) [11][2080/2505] lr: 3.5000e-04 eta: 1 day, 9:09:03 time: 1.0694 data_time: 0.0272 memory: 32703 grad_norm: 23.9906 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.5900 loss: 1.5900 2022/07/29 21:34:09 - mmengine - INFO - Epoch(train) [11][2100/2505] lr: 3.5000e-04 eta: 1 day, 9:08:31 time: 0.8770 data_time: 0.0302 memory: 32703 grad_norm: 23.7363 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8437 loss: 1.8437 2022/07/29 21:34:33 - mmengine - INFO - Epoch(train) [11][2120/2505] lr: 3.5000e-04 eta: 1 day, 9:08:26 time: 1.1825 data_time: 0.0280 memory: 32703 grad_norm: 24.7216 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4676 loss: 1.4676 2022/07/29 21:34:50 - mmengine - INFO - Epoch(train) [11][2140/2505] lr: 3.5000e-04 eta: 1 day, 9:07:52 time: 0.8551 data_time: 0.0331 memory: 32703 grad_norm: 23.9365 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6730 loss: 1.6730 2022/07/29 21:35:12 - mmengine - INFO - Epoch(train) [11][2160/2505] lr: 3.5000e-04 eta: 1 day, 9:07:39 time: 1.0925 data_time: 0.0274 memory: 32703 grad_norm: 23.3075 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5506 loss: 1.5506 2022/07/29 21:35:30 - mmengine - INFO - Epoch(train) [11][2180/2505] lr: 3.5000e-04 eta: 1 day, 9:07:08 time: 0.8803 data_time: 0.0293 memory: 32703 grad_norm: 24.1808 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6437 loss: 1.6437 2022/07/29 21:35:50 - mmengine - INFO - Epoch(train) [11][2200/2505] lr: 3.5000e-04 eta: 1 day, 9:06:47 time: 1.0068 data_time: 0.0300 memory: 32703 grad_norm: 24.0448 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6317 loss: 1.6317 2022/07/29 21:36:08 - mmengine - INFO - Epoch(train) [11][2220/2505] lr: 3.5000e-04 eta: 1 day, 9:06:18 time: 0.9032 data_time: 0.0805 memory: 32703 grad_norm: 23.4496 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7754 loss: 1.7754 2022/07/29 21:36:27 - mmengine - INFO - Epoch(train) [11][2240/2505] lr: 3.5000e-04 eta: 1 day, 9:05:54 time: 0.9743 data_time: 0.1395 memory: 32703 grad_norm: 22.9052 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5579 loss: 1.5579 2022/07/29 21:36:50 - mmengine - INFO - Epoch(train) [11][2260/2505] lr: 3.5000e-04 eta: 1 day, 9:05:43 time: 1.1097 data_time: 0.3509 memory: 32703 grad_norm: 24.5154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5005 loss: 1.5005 2022/07/29 21:37:07 - mmengine - INFO - Epoch(train) [11][2280/2505] lr: 3.5000e-04 eta: 1 day, 9:05:11 time: 0.8725 data_time: 0.2613 memory: 32703 grad_norm: 23.6721 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6621 loss: 1.6621 2022/07/29 21:37:28 - mmengine - INFO - Epoch(train) [11][2300/2505] lr: 3.5000e-04 eta: 1 day, 9:04:55 time: 1.0570 data_time: 0.3275 memory: 32703 grad_norm: 25.0701 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5709 loss: 1.5709 2022/07/29 21:37:47 - mmengine - INFO - Epoch(train) [11][2320/2505] lr: 3.5000e-04 eta: 1 day, 9:04:28 time: 0.9324 data_time: 0.2637 memory: 32703 grad_norm: 24.3824 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5807 loss: 1.5807 2022/07/29 21:38:07 - mmengine - INFO - Epoch(train) [11][2340/2505] lr: 3.5000e-04 eta: 1 day, 9:04:08 time: 1.0128 data_time: 0.4118 memory: 32703 grad_norm: 23.2117 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8395 loss: 1.8395 2022/07/29 21:38:25 - mmengine - INFO - Epoch(train) [11][2360/2505] lr: 3.5000e-04 eta: 1 day, 9:03:38 time: 0.8943 data_time: 0.2794 memory: 32703 grad_norm: 25.0766 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5722 loss: 1.5722 2022/07/29 21:38:46 - mmengine - INFO - Epoch(train) [11][2380/2505] lr: 3.5000e-04 eta: 1 day, 9:03:19 time: 1.0304 data_time: 0.3584 memory: 32703 grad_norm: 24.0655 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7504 loss: 1.7504 2022/07/29 21:39:05 - mmengine - INFO - Epoch(train) [11][2400/2505] lr: 3.5000e-04 eta: 1 day, 9:02:58 time: 0.9966 data_time: 0.3782 memory: 32703 grad_norm: 23.5015 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4637 loss: 1.4637 2022/07/29 21:39:26 - mmengine - INFO - Epoch(train) [11][2420/2505] lr: 3.5000e-04 eta: 1 day, 9:02:40 time: 1.0306 data_time: 0.4484 memory: 32703 grad_norm: 23.7370 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5631 loss: 1.5631 2022/07/29 21:39:46 - mmengine - INFO - Epoch(train) [11][2440/2505] lr: 3.5000e-04 eta: 1 day, 9:02:17 time: 0.9796 data_time: 0.3705 memory: 32703 grad_norm: 24.9696 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5512 loss: 1.5512 2022/07/29 21:40:06 - mmengine - INFO - Epoch(train) [11][2460/2505] lr: 3.5000e-04 eta: 1 day, 9:01:56 time: 1.0002 data_time: 0.3903 memory: 32703 grad_norm: 24.2829 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4838 loss: 1.4838 2022/07/29 21:40:25 - mmengine - INFO - Epoch(train) [11][2480/2505] lr: 3.5000e-04 eta: 1 day, 9:01:32 time: 0.9600 data_time: 0.3421 memory: 32703 grad_norm: 23.5798 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7124 loss: 1.7124 2022/07/29 21:40:42 - mmengine - INFO - Epoch(train) [11][2500/2505] lr: 3.5000e-04 eta: 1 day, 9:00:56 time: 0.8357 data_time: 0.2655 memory: 32703 grad_norm: 24.8859 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8621 loss: 1.8621 2022/07/29 21:40:45 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 21:40:45 - mmengine - INFO - Epoch(train) [11][2505/2505] lr: 3.5000e-04 eta: 1 day, 9:00:56 time: 0.7512 data_time: 0.1715 memory: 32703 grad_norm: 24.8481 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.7016 loss: 1.7016 2022/07/29 21:41:11 - mmengine - INFO - Epoch(train) [12][20/2505] lr: 3.8000e-04 eta: 1 day, 9:00:35 time: 1.3089 data_time: 0.6638 memory: 32703 grad_norm: 23.8759 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5301 loss: 1.5301 2022/07/29 21:41:30 - mmengine - INFO - Epoch(train) [12][40/2505] lr: 3.8000e-04 eta: 1 day, 9:00:09 time: 0.9412 data_time: 0.2382 memory: 32703 grad_norm: 24.0655 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5886 loss: 1.5886 2022/07/29 21:41:53 - mmengine - INFO - Epoch(train) [12][60/2505] lr: 3.8000e-04 eta: 1 day, 9:00:01 time: 1.1503 data_time: 0.1961 memory: 32703 grad_norm: 23.3627 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6860 loss: 1.6860 2022/07/29 21:42:11 - mmengine - INFO - Epoch(train) [12][80/2505] lr: 3.8000e-04 eta: 1 day, 8:59:32 time: 0.9066 data_time: 0.0498 memory: 32703 grad_norm: 23.1039 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6760 loss: 1.6760 2022/07/29 21:42:33 - mmengine - INFO - Epoch(train) [12][100/2505] lr: 3.8000e-04 eta: 1 day, 8:59:19 time: 1.0963 data_time: 0.1935 memory: 32703 grad_norm: 24.2736 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.4425 loss: 1.4425 2022/07/29 21:42:52 - mmengine - INFO - Epoch(train) [12][120/2505] lr: 3.8000e-04 eta: 1 day, 8:58:55 time: 0.9621 data_time: 0.2676 memory: 32703 grad_norm: 23.9404 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6442 loss: 1.6442 2022/07/29 21:43:12 - mmengine - INFO - Epoch(train) [12][140/2505] lr: 3.8000e-04 eta: 1 day, 8:58:34 time: 1.0001 data_time: 0.2341 memory: 32703 grad_norm: 22.5363 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7050 loss: 1.7050 2022/07/29 21:43:30 - mmengine - INFO - Epoch(train) [12][160/2505] lr: 3.8000e-04 eta: 1 day, 8:58:03 time: 0.8792 data_time: 0.1495 memory: 32703 grad_norm: 24.1668 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5151 loss: 1.5151 2022/07/29 21:43:51 - mmengine - INFO - Epoch(train) [12][180/2505] lr: 3.8000e-04 eta: 1 day, 8:57:48 time: 1.0687 data_time: 0.2339 memory: 32703 grad_norm: 23.9754 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0855 loss: 2.0855 2022/07/29 21:44:09 - mmengine - INFO - Epoch(train) [12][200/2505] lr: 3.8000e-04 eta: 1 day, 8:57:17 time: 0.8818 data_time: 0.1602 memory: 32703 grad_norm: 23.6400 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6802 loss: 1.6802 2022/07/29 21:44:31 - mmengine - INFO - Epoch(train) [12][220/2505] lr: 3.8000e-04 eta: 1 day, 8:57:03 time: 1.0822 data_time: 0.1557 memory: 32703 grad_norm: 24.3984 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2836 loss: 1.2836 2022/07/29 21:44:49 - mmengine - INFO - Epoch(train) [12][240/2505] lr: 3.8000e-04 eta: 1 day, 8:56:33 time: 0.8951 data_time: 0.1457 memory: 32703 grad_norm: 25.4048 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.6881 loss: 1.6881 2022/07/29 21:45:09 - mmengine - INFO - Epoch(train) [12][260/2505] lr: 3.8000e-04 eta: 1 day, 8:56:14 time: 1.0265 data_time: 0.1700 memory: 32703 grad_norm: 22.6109 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4672 loss: 1.4672 2022/07/29 21:45:27 - mmengine - INFO - Epoch(train) [12][280/2505] lr: 3.8000e-04 eta: 1 day, 8:55:46 time: 0.9122 data_time: 0.0721 memory: 32703 grad_norm: 23.0442 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8340 loss: 1.8340 2022/07/29 21:45:49 - mmengine - INFO - Epoch(train) [12][300/2505] lr: 3.8000e-04 eta: 1 day, 8:55:30 time: 1.0637 data_time: 0.1115 memory: 32703 grad_norm: 23.3829 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8564 loss: 1.8564 2022/07/29 21:46:08 - mmengine - INFO - Epoch(train) [12][320/2505] lr: 3.8000e-04 eta: 1 day, 8:55:04 time: 0.9441 data_time: 0.1074 memory: 32703 grad_norm: 24.4216 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4740 loss: 1.4740 2022/07/29 21:46:29 - mmengine - INFO - Epoch(train) [12][340/2505] lr: 3.8000e-04 eta: 1 day, 8:54:51 time: 1.0966 data_time: 0.1739 memory: 32703 grad_norm: 24.2387 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5526 loss: 1.5526 2022/07/29 21:46:49 - mmengine - INFO - Epoch(train) [12][360/2505] lr: 3.8000e-04 eta: 1 day, 8:54:29 time: 0.9792 data_time: 0.0266 memory: 32703 grad_norm: 23.9505 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4633 loss: 1.4633 2022/07/29 21:47:11 - mmengine - INFO - Epoch(train) [12][380/2505] lr: 3.8000e-04 eta: 1 day, 8:54:17 time: 1.1075 data_time: 0.0342 memory: 32703 grad_norm: 23.4231 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6967 loss: 1.6967 2022/07/29 21:47:28 - mmengine - INFO - Epoch(train) [12][400/2505] lr: 3.8000e-04 eta: 1 day, 8:53:42 time: 0.8291 data_time: 0.0372 memory: 32703 grad_norm: 24.4508 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8111 loss: 1.8111 2022/07/29 21:47:48 - mmengine - INFO - Epoch(train) [12][420/2505] lr: 3.8000e-04 eta: 1 day, 8:53:24 time: 1.0355 data_time: 0.1930 memory: 32703 grad_norm: 23.9432 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.6197 loss: 1.6197 2022/07/29 21:48:07 - mmengine - INFO - Epoch(train) [12][440/2505] lr: 3.8000e-04 eta: 1 day, 8:52:58 time: 0.9484 data_time: 0.1281 memory: 32703 grad_norm: 23.1125 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6193 loss: 1.6193 2022/07/29 21:48:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 21:48:28 - mmengine - INFO - Epoch(train) [12][460/2505] lr: 3.8000e-04 eta: 1 day, 8:52:39 time: 1.0155 data_time: 0.2050 memory: 32703 grad_norm: 23.4723 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5518 loss: 1.5518 2022/07/29 21:48:46 - mmengine - INFO - Epoch(train) [12][480/2505] lr: 3.8000e-04 eta: 1 day, 8:52:08 time: 0.8889 data_time: 0.2016 memory: 32703 grad_norm: 23.5095 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2752 loss: 1.2752 2022/07/29 21:49:07 - mmengine - INFO - Epoch(train) [12][500/2505] lr: 3.8000e-04 eta: 1 day, 8:51:52 time: 1.0612 data_time: 0.4150 memory: 32703 grad_norm: 23.8468 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3848 loss: 1.3848 2022/07/29 21:49:27 - mmengine - INFO - Epoch(train) [12][520/2505] lr: 3.8000e-04 eta: 1 day, 8:51:31 time: 0.9930 data_time: 0.3838 memory: 32703 grad_norm: 22.5882 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6813 loss: 1.6813 2022/07/29 21:49:46 - mmengine - INFO - Epoch(train) [12][540/2505] lr: 3.8000e-04 eta: 1 day, 8:51:09 time: 0.9873 data_time: 0.3746 memory: 32703 grad_norm: 23.1621 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6834 loss: 1.6834 2022/07/29 21:50:04 - mmengine - INFO - Epoch(train) [12][560/2505] lr: 3.8000e-04 eta: 1 day, 8:50:40 time: 0.9008 data_time: 0.2960 memory: 32703 grad_norm: 23.1335 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4034 loss: 1.4034 2022/07/29 21:50:26 - mmengine - INFO - Epoch(train) [12][580/2505] lr: 3.8000e-04 eta: 1 day, 8:50:26 time: 1.0876 data_time: 0.4889 memory: 32703 grad_norm: 23.7795 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5540 loss: 1.5540 2022/07/29 21:50:44 - mmengine - INFO - Epoch(train) [12][600/2505] lr: 3.8000e-04 eta: 1 day, 8:49:56 time: 0.8910 data_time: 0.2803 memory: 32703 grad_norm: 23.6357 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7255 loss: 1.7255 2022/07/29 21:51:06 - mmengine - INFO - Epoch(train) [12][620/2505] lr: 3.8000e-04 eta: 1 day, 8:49:43 time: 1.0935 data_time: 0.4732 memory: 32703 grad_norm: 23.5754 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8986 loss: 1.8986 2022/07/29 21:51:24 - mmengine - INFO - Epoch(train) [12][640/2505] lr: 3.8000e-04 eta: 1 day, 8:49:14 time: 0.8984 data_time: 0.2957 memory: 32703 grad_norm: 23.1685 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3757 loss: 1.3757 2022/07/29 21:51:45 - mmengine - INFO - Epoch(train) [12][660/2505] lr: 3.8000e-04 eta: 1 day, 8:48:57 time: 1.0491 data_time: 0.4414 memory: 32703 grad_norm: 23.0053 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6599 loss: 1.6599 2022/07/29 21:52:03 - mmengine - INFO - Epoch(train) [12][680/2505] lr: 3.8000e-04 eta: 1 day, 8:48:27 time: 0.8998 data_time: 0.3044 memory: 32703 grad_norm: 22.6177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5710 loss: 1.5710 2022/07/29 21:52:23 - mmengine - INFO - Epoch(train) [12][700/2505] lr: 3.8000e-04 eta: 1 day, 8:48:06 time: 0.9945 data_time: 0.3954 memory: 32703 grad_norm: 23.5793 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6735 loss: 1.6735 2022/07/29 21:52:41 - mmengine - INFO - Epoch(train) [12][720/2505] lr: 3.8000e-04 eta: 1 day, 8:47:39 time: 0.9239 data_time: 0.3388 memory: 32703 grad_norm: 23.3408 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5521 loss: 1.5521 2022/07/29 21:53:03 - mmengine - INFO - Epoch(train) [12][740/2505] lr: 3.8000e-04 eta: 1 day, 8:47:24 time: 1.0761 data_time: 0.4931 memory: 32703 grad_norm: 24.9064 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6493 loss: 1.6493 2022/07/29 21:53:21 - mmengine - INFO - Epoch(train) [12][760/2505] lr: 3.8000e-04 eta: 1 day, 8:46:56 time: 0.9174 data_time: 0.3355 memory: 32703 grad_norm: 23.2437 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4429 loss: 1.4429 2022/07/29 21:53:42 - mmengine - INFO - Epoch(train) [12][780/2505] lr: 3.8000e-04 eta: 1 day, 8:46:41 time: 1.0640 data_time: 0.4545 memory: 32703 grad_norm: 24.0586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8316 loss: 1.8316 2022/07/29 21:54:01 - mmengine - INFO - Epoch(train) [12][800/2505] lr: 3.8000e-04 eta: 1 day, 8:46:15 time: 0.9347 data_time: 0.3329 memory: 32703 grad_norm: 23.8395 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7302 loss: 1.7302 2022/07/29 21:54:21 - mmengine - INFO - Epoch(train) [12][820/2505] lr: 3.8000e-04 eta: 1 day, 8:45:53 time: 0.9916 data_time: 0.3906 memory: 32703 grad_norm: 22.5713 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7037 loss: 1.7037 2022/07/29 21:54:39 - mmengine - INFO - Epoch(train) [12][840/2505] lr: 3.8000e-04 eta: 1 day, 8:45:23 time: 0.8950 data_time: 0.2788 memory: 32703 grad_norm: 23.1607 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6170 loss: 1.6170 2022/07/29 21:54:59 - mmengine - INFO - Epoch(train) [12][860/2505] lr: 3.8000e-04 eta: 1 day, 8:45:06 time: 1.0385 data_time: 0.4301 memory: 32703 grad_norm: 24.0174 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7592 loss: 1.7592 2022/07/29 21:55:19 - mmengine - INFO - Epoch(train) [12][880/2505] lr: 3.8000e-04 eta: 1 day, 8:44:43 time: 0.9806 data_time: 0.2313 memory: 32703 grad_norm: 23.2676 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5485 loss: 1.5485 2022/07/29 21:55:38 - mmengine - INFO - Epoch(train) [12][900/2505] lr: 3.8000e-04 eta: 1 day, 8:44:19 time: 0.9657 data_time: 0.2123 memory: 32703 grad_norm: 24.1324 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6239 loss: 1.6239 2022/07/29 21:55:59 - mmengine - INFO - Epoch(train) [12][920/2505] lr: 3.8000e-04 eta: 1 day, 8:44:00 time: 1.0225 data_time: 0.2041 memory: 32703 grad_norm: 23.6307 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8593 loss: 1.8593 2022/07/29 21:56:18 - mmengine - INFO - Epoch(train) [12][940/2505] lr: 3.8000e-04 eta: 1 day, 8:43:35 time: 0.9430 data_time: 0.1594 memory: 32703 grad_norm: 23.8403 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6079 loss: 1.6079 2022/07/29 21:56:38 - mmengine - INFO - Epoch(train) [12][960/2505] lr: 3.8000e-04 eta: 1 day, 8:43:16 time: 1.0318 data_time: 0.1018 memory: 32703 grad_norm: 23.1215 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5082 loss: 1.5082 2022/07/29 21:56:58 - mmengine - INFO - Epoch(train) [12][980/2505] lr: 3.8000e-04 eta: 1 day, 8:42:53 time: 0.9706 data_time: 0.0310 memory: 32703 grad_norm: 22.8128 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5463 loss: 1.5463 2022/07/29 21:57:17 - mmengine - INFO - Epoch(train) [12][1000/2505] lr: 3.8000e-04 eta: 1 day, 8:42:31 time: 0.9789 data_time: 0.0287 memory: 32703 grad_norm: 25.2632 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4953 loss: 1.4953 2022/07/29 21:57:36 - mmengine - INFO - Epoch(train) [12][1020/2505] lr: 3.8000e-04 eta: 1 day, 8:42:03 time: 0.9158 data_time: 0.0299 memory: 32703 grad_norm: 24.1603 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6269 loss: 1.6269 2022/07/29 21:57:57 - mmengine - INFO - Epoch(train) [12][1040/2505] lr: 3.8000e-04 eta: 1 day, 8:41:48 time: 1.0777 data_time: 0.0398 memory: 32703 grad_norm: 23.7883 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8845 loss: 1.8845 2022/07/29 21:58:16 - mmengine - INFO - Epoch(train) [12][1060/2505] lr: 3.8000e-04 eta: 1 day, 8:41:21 time: 0.9208 data_time: 0.0507 memory: 32703 grad_norm: 23.4491 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7014 loss: 1.7014 2022/07/29 21:58:36 - mmengine - INFO - Epoch(train) [12][1080/2505] lr: 3.8000e-04 eta: 1 day, 8:41:02 time: 1.0262 data_time: 0.1479 memory: 32703 grad_norm: 23.4489 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0972 loss: 2.0972 2022/07/29 21:58:55 - mmengine - INFO - Epoch(train) [12][1100/2505] lr: 3.8000e-04 eta: 1 day, 8:40:38 time: 0.9563 data_time: 0.1965 memory: 32703 grad_norm: 23.2649 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5525 loss: 1.5525 2022/07/29 21:59:15 - mmengine - INFO - Epoch(train) [12][1120/2505] lr: 3.8000e-04 eta: 1 day, 8:40:14 time: 0.9635 data_time: 0.1356 memory: 32703 grad_norm: 23.9315 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4136 loss: 1.4136 2022/07/29 21:59:34 - mmengine - INFO - Epoch(train) [12][1140/2505] lr: 3.8000e-04 eta: 1 day, 8:39:52 time: 0.9837 data_time: 0.2854 memory: 32703 grad_norm: 23.5613 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7818 loss: 1.7818 2022/07/29 21:59:52 - mmengine - INFO - Epoch(train) [12][1160/2505] lr: 3.8000e-04 eta: 1 day, 8:39:21 time: 0.8746 data_time: 0.1670 memory: 32703 grad_norm: 23.7169 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6394 loss: 1.6394 2022/07/29 22:00:10 - mmengine - INFO - Epoch(train) [12][1180/2505] lr: 3.8000e-04 eta: 1 day, 8:38:55 time: 0.9374 data_time: 0.2112 memory: 32703 grad_norm: 22.8689 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3914 loss: 1.3914 2022/07/29 22:00:32 - mmengine - INFO - Epoch(train) [12][1200/2505] lr: 3.8000e-04 eta: 1 day, 8:38:38 time: 1.0546 data_time: 0.0378 memory: 32703 grad_norm: 24.5006 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5678 loss: 1.5678 2022/07/29 22:00:50 - mmengine - INFO - Epoch(train) [12][1220/2505] lr: 3.8000e-04 eta: 1 day, 8:38:12 time: 0.9337 data_time: 0.0290 memory: 32703 grad_norm: 23.1391 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3948 loss: 1.3948 2022/07/29 22:01:11 - mmengine - INFO - Epoch(train) [12][1240/2505] lr: 3.8000e-04 eta: 1 day, 8:37:52 time: 1.0145 data_time: 0.0309 memory: 32703 grad_norm: 24.2366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7134 loss: 1.7134 2022/07/29 22:01:33 - mmengine - INFO - Epoch(train) [12][1260/2505] lr: 3.8000e-04 eta: 1 day, 8:37:42 time: 1.1259 data_time: 0.0341 memory: 32703 grad_norm: 24.9193 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6526 loss: 1.6526 2022/07/29 22:01:53 - mmengine - INFO - Epoch(train) [12][1280/2505] lr: 3.8000e-04 eta: 1 day, 8:37:21 time: 1.0055 data_time: 0.0307 memory: 32703 grad_norm: 23.4711 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4780 loss: 1.4780 2022/07/29 22:02:12 - mmengine - INFO - Epoch(train) [12][1300/2505] lr: 3.8000e-04 eta: 1 day, 8:36:58 time: 0.9656 data_time: 0.0334 memory: 32703 grad_norm: 23.6913 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4807 loss: 1.4807 2022/07/29 22:02:33 - mmengine - INFO - Epoch(train) [12][1320/2505] lr: 3.8000e-04 eta: 1 day, 8:36:38 time: 1.0186 data_time: 0.0275 memory: 32703 grad_norm: 23.2672 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6412 loss: 1.6412 2022/07/29 22:02:51 - mmengine - INFO - Epoch(train) [12][1340/2505] lr: 3.8000e-04 eta: 1 day, 8:36:11 time: 0.9128 data_time: 0.0346 memory: 32703 grad_norm: 23.2822 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6475 loss: 1.6475 2022/07/29 22:03:11 - mmengine - INFO - Epoch(train) [12][1360/2505] lr: 3.8000e-04 eta: 1 day, 8:35:49 time: 0.9902 data_time: 0.0287 memory: 32703 grad_norm: 24.0998 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8162 loss: 1.8162 2022/07/29 22:03:29 - mmengine - INFO - Epoch(train) [12][1380/2505] lr: 3.8000e-04 eta: 1 day, 8:35:19 time: 0.8904 data_time: 0.0309 memory: 32703 grad_norm: 23.5494 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8392 loss: 1.8392 2022/07/29 22:03:49 - mmengine - INFO - Epoch(train) [12][1400/2505] lr: 3.8000e-04 eta: 1 day, 8:34:59 time: 1.0023 data_time: 0.0282 memory: 32703 grad_norm: 23.8520 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7332 loss: 1.7332 2022/07/29 22:04:09 - mmengine - INFO - Epoch(train) [12][1420/2505] lr: 3.8000e-04 eta: 1 day, 8:34:40 time: 1.0274 data_time: 0.0287 memory: 32703 grad_norm: 22.6083 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8576 loss: 1.8576 2022/07/29 22:04:31 - mmengine - INFO - Epoch(train) [12][1440/2505] lr: 3.8000e-04 eta: 1 day, 8:34:28 time: 1.1047 data_time: 0.0541 memory: 32703 grad_norm: 24.8272 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5583 loss: 1.5583 2022/07/29 22:04:35 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 22:04:49 - mmengine - INFO - Epoch(train) [12][1460/2505] lr: 3.8000e-04 eta: 1 day, 8:33:57 time: 0.8808 data_time: 0.0295 memory: 32703 grad_norm: 24.0906 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8279 loss: 1.8279 2022/07/29 22:05:11 - mmengine - INFO - Epoch(train) [12][1480/2505] lr: 3.8000e-04 eta: 1 day, 8:33:44 time: 1.0916 data_time: 0.0316 memory: 32703 grad_norm: 23.6175 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5265 loss: 1.5265 2022/07/29 22:05:29 - mmengine - INFO - Epoch(train) [12][1500/2505] lr: 3.8000e-04 eta: 1 day, 8:33:15 time: 0.8987 data_time: 0.0288 memory: 32703 grad_norm: 23.1489 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5723 loss: 1.5723 2022/07/29 22:05:50 - mmengine - INFO - Epoch(train) [12][1520/2505] lr: 3.8000e-04 eta: 1 day, 8:32:58 time: 1.0556 data_time: 0.0316 memory: 32703 grad_norm: 23.9352 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6211 loss: 1.6211 2022/07/29 22:06:09 - mmengine - INFO - Epoch(train) [12][1540/2505] lr: 3.8000e-04 eta: 1 day, 8:32:31 time: 0.9225 data_time: 0.0334 memory: 32703 grad_norm: 24.3345 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7656 loss: 1.7656 2022/07/29 22:06:28 - mmengine - INFO - Epoch(train) [12][1560/2505] lr: 3.8000e-04 eta: 1 day, 8:32:08 time: 0.9716 data_time: 0.0320 memory: 32703 grad_norm: 23.2122 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5644 loss: 1.5644 2022/07/29 22:06:45 - mmengine - INFO - Epoch(train) [12][1580/2505] lr: 3.8000e-04 eta: 1 day, 8:31:35 time: 0.8491 data_time: 0.0358 memory: 32703 grad_norm: 23.7376 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7549 loss: 1.7549 2022/07/29 22:07:07 - mmengine - INFO - Epoch(train) [12][1600/2505] lr: 3.8000e-04 eta: 1 day, 8:31:21 time: 1.0857 data_time: 0.0268 memory: 32703 grad_norm: 24.0326 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6825 loss: 1.6825 2022/07/29 22:07:24 - mmengine - INFO - Epoch(train) [12][1620/2505] lr: 3.8000e-04 eta: 1 day, 8:30:50 time: 0.8666 data_time: 0.0275 memory: 32703 grad_norm: 23.6103 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7364 loss: 1.7364 2022/07/29 22:07:45 - mmengine - INFO - Epoch(train) [12][1640/2505] lr: 3.8000e-04 eta: 1 day, 8:30:32 time: 1.0314 data_time: 0.0270 memory: 32703 grad_norm: 23.0460 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5560 loss: 1.5560 2022/07/29 22:08:07 - mmengine - INFO - Epoch(train) [12][1660/2505] lr: 3.8000e-04 eta: 1 day, 8:30:21 time: 1.1284 data_time: 0.0312 memory: 32703 grad_norm: 22.5746 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5291 loss: 1.5291 2022/07/29 22:08:26 - mmengine - INFO - Epoch(train) [12][1680/2505] lr: 3.8000e-04 eta: 1 day, 8:29:56 time: 0.9524 data_time: 0.0290 memory: 32703 grad_norm: 22.0263 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3565 loss: 1.3565 2022/07/29 22:08:45 - mmengine - INFO - Epoch(train) [12][1700/2505] lr: 3.8000e-04 eta: 1 day, 8:29:30 time: 0.9321 data_time: 0.0314 memory: 32703 grad_norm: 24.2569 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6680 loss: 1.6680 2022/07/29 22:09:05 - mmengine - INFO - Epoch(train) [12][1720/2505] lr: 3.8000e-04 eta: 1 day, 8:29:12 time: 1.0296 data_time: 0.0329 memory: 32703 grad_norm: 23.4892 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.5642 loss: 1.5642 2022/07/29 22:09:25 - mmengine - INFO - Epoch(train) [12][1740/2505] lr: 3.8000e-04 eta: 1 day, 8:28:48 time: 0.9570 data_time: 0.0277 memory: 32703 grad_norm: 23.4345 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6814 loss: 1.6814 2022/07/29 22:09:46 - mmengine - INFO - Epoch(train) [12][1760/2505] lr: 3.8000e-04 eta: 1 day, 8:28:32 time: 1.0712 data_time: 0.0312 memory: 32703 grad_norm: 23.0818 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7255 loss: 1.7255 2022/07/29 22:10:04 - mmengine - INFO - Epoch(train) [12][1780/2505] lr: 3.8000e-04 eta: 1 day, 8:28:03 time: 0.8915 data_time: 0.0296 memory: 32703 grad_norm: 23.8440 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6892 loss: 1.6892 2022/07/29 22:10:24 - mmengine - INFO - Epoch(train) [12][1800/2505] lr: 3.8000e-04 eta: 1 day, 8:27:43 time: 1.0110 data_time: 0.0306 memory: 32703 grad_norm: 23.1302 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7421 loss: 1.7421 2022/07/29 22:10:44 - mmengine - INFO - Epoch(train) [12][1820/2505] lr: 3.8000e-04 eta: 1 day, 8:27:22 time: 0.9928 data_time: 0.0302 memory: 32703 grad_norm: 23.4818 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3980 loss: 1.3980 2022/07/29 22:11:05 - mmengine - INFO - Epoch(train) [12][1840/2505] lr: 3.8000e-04 eta: 1 day, 8:27:05 time: 1.0552 data_time: 0.0294 memory: 32703 grad_norm: 23.7404 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5451 loss: 1.5451 2022/07/29 22:11:23 - mmengine - INFO - Epoch(train) [12][1860/2505] lr: 3.8000e-04 eta: 1 day, 8:26:37 time: 0.8995 data_time: 0.0323 memory: 32703 grad_norm: 22.5481 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6608 loss: 1.6608 2022/07/29 22:11:43 - mmengine - INFO - Epoch(train) [12][1880/2505] lr: 3.8000e-04 eta: 1 day, 8:26:16 time: 0.9997 data_time: 0.0267 memory: 32703 grad_norm: 23.6517 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6866 loss: 1.6866 2022/07/29 22:12:01 - mmengine - INFO - Epoch(train) [12][1900/2505] lr: 3.8000e-04 eta: 1 day, 8:25:48 time: 0.9082 data_time: 0.0288 memory: 32703 grad_norm: 23.1009 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3691 loss: 1.3691 2022/07/29 22:12:23 - mmengine - INFO - Epoch(train) [12][1920/2505] lr: 3.8000e-04 eta: 1 day, 8:25:33 time: 1.0778 data_time: 0.0273 memory: 32703 grad_norm: 23.3317 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5567 loss: 1.5567 2022/07/29 22:12:40 - mmengine - INFO - Epoch(train) [12][1940/2505] lr: 3.8000e-04 eta: 1 day, 8:25:04 time: 0.8894 data_time: 0.0358 memory: 32703 grad_norm: 23.2007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6411 loss: 1.6411 2022/07/29 22:13:02 - mmengine - INFO - Epoch(train) [12][1960/2505] lr: 3.8000e-04 eta: 1 day, 8:24:50 time: 1.0959 data_time: 0.0610 memory: 32703 grad_norm: 24.1185 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4846 loss: 1.4846 2022/07/29 22:13:24 - mmengine - INFO - Epoch(train) [12][1980/2505] lr: 3.8000e-04 eta: 1 day, 8:24:34 time: 1.0549 data_time: 0.0306 memory: 32703 grad_norm: 23.5791 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5922 loss: 1.5922 2022/07/29 22:13:44 - mmengine - INFO - Epoch(train) [12][2000/2505] lr: 3.8000e-04 eta: 1 day, 8:24:13 time: 0.9972 data_time: 0.2497 memory: 32703 grad_norm: 22.7268 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5621 loss: 1.5621 2022/07/29 22:14:09 - mmengine - INFO - Epoch(train) [12][2020/2505] lr: 3.8000e-04 eta: 1 day, 8:24:15 time: 1.2955 data_time: 0.5106 memory: 32703 grad_norm: 22.7737 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7947 loss: 1.7947 2022/07/29 22:14:27 - mmengine - INFO - Epoch(train) [12][2040/2505] lr: 3.8000e-04 eta: 1 day, 8:23:44 time: 0.8643 data_time: 0.2477 memory: 32703 grad_norm: 23.5644 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6448 loss: 1.6448 2022/07/29 22:14:47 - mmengine - INFO - Epoch(train) [12][2060/2505] lr: 3.8000e-04 eta: 1 day, 8:23:24 time: 1.0152 data_time: 0.4003 memory: 32703 grad_norm: 23.3845 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5540 loss: 1.5540 2022/07/29 22:15:04 - mmengine - INFO - Epoch(train) [12][2080/2505] lr: 3.8000e-04 eta: 1 day, 8:22:52 time: 0.8587 data_time: 0.2890 memory: 32703 grad_norm: 23.3565 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4991 loss: 1.4991 2022/07/29 22:15:27 - mmengine - INFO - Epoch(train) [12][2100/2505] lr: 3.8000e-04 eta: 1 day, 8:22:44 time: 1.1581 data_time: 0.4973 memory: 32703 grad_norm: 22.3357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6237 loss: 1.6237 2022/07/29 22:15:43 - mmengine - INFO - Epoch(train) [12][2120/2505] lr: 3.8000e-04 eta: 1 day, 8:22:08 time: 0.8009 data_time: 0.2308 memory: 32703 grad_norm: 23.3098 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7445 loss: 1.7445 2022/07/29 22:16:03 - mmengine - INFO - Epoch(train) [12][2140/2505] lr: 3.8000e-04 eta: 1 day, 8:21:44 time: 0.9627 data_time: 0.3731 memory: 32703 grad_norm: 23.6050 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5594 loss: 1.5594 2022/07/29 22:16:21 - mmengine - INFO - Epoch(train) [12][2160/2505] lr: 3.8000e-04 eta: 1 day, 8:21:17 time: 0.9223 data_time: 0.2133 memory: 32703 grad_norm: 24.0955 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5241 loss: 1.5241 2022/07/29 22:16:41 - mmengine - INFO - Epoch(train) [12][2180/2505] lr: 3.8000e-04 eta: 1 day, 8:20:55 time: 0.9767 data_time: 0.1757 memory: 32703 grad_norm: 24.4076 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.0337 loss: 2.0337 2022/07/29 22:17:01 - mmengine - INFO - Epoch(train) [12][2200/2505] lr: 3.8000e-04 eta: 1 day, 8:20:36 time: 1.0257 data_time: 0.0297 memory: 32703 grad_norm: 23.6429 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6245 loss: 1.6245 2022/07/29 22:17:21 - mmengine - INFO - Epoch(train) [12][2220/2505] lr: 3.8000e-04 eta: 1 day, 8:20:14 time: 0.9810 data_time: 0.0315 memory: 32703 grad_norm: 24.9677 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5921 loss: 1.5921 2022/07/29 22:17:40 - mmengine - INFO - Epoch(train) [12][2240/2505] lr: 3.8000e-04 eta: 1 day, 8:19:48 time: 0.9421 data_time: 0.0313 memory: 32703 grad_norm: 23.6884 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6980 loss: 1.6980 2022/07/29 22:18:00 - mmengine - INFO - Epoch(train) [12][2260/2505] lr: 3.8000e-04 eta: 1 day, 8:19:31 time: 1.0421 data_time: 0.0370 memory: 32703 grad_norm: 23.3383 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6643 loss: 1.6643 2022/07/29 22:18:18 - mmengine - INFO - Epoch(train) [12][2280/2505] lr: 3.8000e-04 eta: 1 day, 8:19:02 time: 0.9004 data_time: 0.0273 memory: 32703 grad_norm: 22.6774 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7337 loss: 1.7337 2022/07/29 22:18:39 - mmengine - INFO - Epoch(train) [12][2300/2505] lr: 3.8000e-04 eta: 1 day, 8:18:44 time: 1.0348 data_time: 0.0309 memory: 32703 grad_norm: 22.9349 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7646 loss: 1.7646 2022/07/29 22:18:58 - mmengine - INFO - Epoch(train) [12][2320/2505] lr: 3.8000e-04 eta: 1 day, 8:18:18 time: 0.9288 data_time: 0.0260 memory: 32703 grad_norm: 22.9209 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7655 loss: 1.7655 2022/07/29 22:19:19 - mmengine - INFO - Epoch(train) [12][2340/2505] lr: 3.8000e-04 eta: 1 day, 8:18:03 time: 1.0739 data_time: 0.0367 memory: 32703 grad_norm: 23.3533 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4319 loss: 1.4319 2022/07/29 22:19:37 - mmengine - INFO - Epoch(train) [12][2360/2505] lr: 3.8000e-04 eta: 1 day, 8:17:35 time: 0.9028 data_time: 0.0271 memory: 32703 grad_norm: 22.9655 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6186 loss: 1.6186 2022/07/29 22:19:58 - mmengine - INFO - Epoch(train) [12][2380/2505] lr: 3.8000e-04 eta: 1 day, 8:17:18 time: 1.0488 data_time: 0.0320 memory: 32703 grad_norm: 23.3066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5312 loss: 1.5312 2022/07/29 22:20:17 - mmengine - INFO - Epoch(train) [12][2400/2505] lr: 3.8000e-04 eta: 1 day, 8:16:51 time: 0.9256 data_time: 0.0317 memory: 32703 grad_norm: 22.9238 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6532 loss: 1.6532 2022/07/29 22:20:38 - mmengine - INFO - Epoch(train) [12][2420/2505] lr: 3.8000e-04 eta: 1 day, 8:16:35 time: 1.0620 data_time: 0.0322 memory: 32703 grad_norm: 22.9202 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9561 loss: 1.9561 2022/07/29 22:20:56 - mmengine - INFO - Epoch(train) [12][2440/2505] lr: 3.8000e-04 eta: 1 day, 8:16:09 time: 0.9260 data_time: 0.0316 memory: 32703 grad_norm: 23.7691 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5058 loss: 1.5058 2022/07/29 22:21:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 22:21:16 - mmengine - INFO - Epoch(train) [12][2460/2505] lr: 3.8000e-04 eta: 1 day, 8:15:45 time: 0.9636 data_time: 0.0307 memory: 32703 grad_norm: 23.4932 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7146 loss: 1.7146 2022/07/29 22:21:36 - mmengine - INFO - Epoch(train) [12][2480/2505] lr: 3.8000e-04 eta: 1 day, 8:15:24 time: 0.9913 data_time: 0.0292 memory: 32703 grad_norm: 23.8951 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4720 loss: 1.4720 2022/07/29 22:21:54 - mmengine - INFO - Epoch(train) [12][2500/2505] lr: 3.8000e-04 eta: 1 day, 8:14:56 time: 0.8994 data_time: 0.0295 memory: 32703 grad_norm: 23.9078 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8774 loss: 1.8774 2022/07/29 22:21:56 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 22:21:56 - mmengine - INFO - Epoch(train) [12][2505/2505] lr: 3.8000e-04 eta: 1 day, 8:14:56 time: 0.8400 data_time: 0.0188 memory: 32703 grad_norm: 23.5650 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.7977 loss: 1.7977 2022/07/29 22:21:56 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/07/29 22:22:03 - mmengine - INFO - Epoch(val) [12][20/2475] eta: 0:04:30 time: 0.1102 data_time: 0.0762 memory: 817 2022/07/29 22:22:05 - mmengine - INFO - Epoch(val) [12][40/2475] eta: 0:02:49 time: 0.0696 data_time: 0.0382 memory: 817 2022/07/29 22:22:07 - mmengine - INFO - Epoch(val) [12][60/2475] eta: 0:04:02 time: 0.1003 data_time: 0.0690 memory: 817 2022/07/29 22:22:08 - mmengine - INFO - Epoch(val) [12][80/2475] eta: 0:02:58 time: 0.0745 data_time: 0.0445 memory: 817 2022/07/29 22:22:10 - mmengine - INFO - Epoch(val) [12][100/2475] eta: 0:03:37 time: 0.0915 data_time: 0.0615 memory: 817 2022/07/29 22:22:11 - mmengine - INFO - Epoch(val) [12][120/2475] eta: 0:02:41 time: 0.0685 data_time: 0.0373 memory: 817 2022/07/29 22:22:13 - mmengine - INFO - Epoch(val) [12][140/2475] eta: 0:03:09 time: 0.0812 data_time: 0.0480 memory: 817 2022/07/29 22:22:14 - mmengine - INFO - Epoch(val) [12][160/2475] eta: 0:02:32 time: 0.0659 data_time: 0.0350 memory: 817 2022/07/29 22:22:16 - mmengine - INFO - Epoch(val) [12][180/2475] eta: 0:03:51 time: 0.1007 data_time: 0.0688 memory: 817 2022/07/29 22:22:17 - mmengine - INFO - Epoch(val) [12][200/2475] eta: 0:02:04 time: 0.0548 data_time: 0.0202 memory: 817 2022/07/29 22:22:19 - mmengine - INFO - Epoch(val) [12][220/2475] eta: 0:02:40 time: 0.0714 data_time: 0.0416 memory: 817 2022/07/29 22:22:21 - mmengine - INFO - Epoch(val) [12][240/2475] eta: 0:03:18 time: 0.0888 data_time: 0.0572 memory: 817 2022/07/29 22:22:22 - mmengine - INFO - Epoch(val) [12][260/2475] eta: 0:02:58 time: 0.0807 data_time: 0.0493 memory: 817 2022/07/29 22:22:24 - mmengine - INFO - Epoch(val) [12][280/2475] eta: 0:03:25 time: 0.0936 data_time: 0.0625 memory: 817 2022/07/29 22:22:26 - mmengine - INFO - Epoch(val) [12][300/2475] eta: 0:02:52 time: 0.0795 data_time: 0.0478 memory: 817 2022/07/29 22:22:27 - mmengine - INFO - Epoch(val) [12][320/2475] eta: 0:02:32 time: 0.0710 data_time: 0.0388 memory: 817 2022/07/29 22:22:29 - mmengine - INFO - Epoch(val) [12][340/2475] eta: 0:03:12 time: 0.0899 data_time: 0.0588 memory: 817 2022/07/29 22:22:30 - mmengine - INFO - Epoch(val) [12][360/2475] eta: 0:02:25 time: 0.0686 data_time: 0.0357 memory: 817 2022/07/29 22:22:32 - mmengine - INFO - Epoch(val) [12][380/2475] eta: 0:03:00 time: 0.0861 data_time: 0.0557 memory: 817 2022/07/29 22:22:34 - mmengine - INFO - Epoch(val) [12][400/2475] eta: 0:02:37 time: 0.0758 data_time: 0.0434 memory: 817 2022/07/29 22:22:35 - mmengine - INFO - Epoch(val) [12][420/2475] eta: 0:02:52 time: 0.0841 data_time: 0.0530 memory: 817 2022/07/29 22:22:37 - mmengine - INFO - Epoch(val) [12][440/2475] eta: 0:02:11 time: 0.0644 data_time: 0.0270 memory: 817 2022/07/29 22:22:38 - mmengine - INFO - Epoch(val) [12][460/2475] eta: 0:02:36 time: 0.0775 data_time: 0.0453 memory: 817 2022/07/29 22:22:40 - mmengine - INFO - Epoch(val) [12][480/2475] eta: 0:02:41 time: 0.0807 data_time: 0.0489 memory: 817 2022/07/29 22:22:42 - mmengine - INFO - Epoch(val) [12][500/2475] eta: 0:02:57 time: 0.0897 data_time: 0.0589 memory: 817 2022/07/29 22:22:43 - mmengine - INFO - Epoch(val) [12][520/2475] eta: 0:02:04 time: 0.0634 data_time: 0.0299 memory: 817 2022/07/29 22:22:45 - mmengine - INFO - Epoch(val) [12][540/2475] eta: 0:02:48 time: 0.0870 data_time: 0.0544 memory: 817 2022/07/29 22:22:46 - mmengine - INFO - Epoch(val) [12][560/2475] eta: 0:02:14 time: 0.0703 data_time: 0.0396 memory: 817 2022/07/29 22:22:48 - mmengine - INFO - Epoch(val) [12][580/2475] eta: 0:02:40 time: 0.0849 data_time: 0.0536 memory: 817 2022/07/29 22:22:50 - mmengine - INFO - Epoch(val) [12][600/2475] eta: 0:03:00 time: 0.0965 data_time: 0.0648 memory: 817 2022/07/29 22:22:51 - mmengine - INFO - Epoch(val) [12][620/2475] eta: 0:02:24 time: 0.0780 data_time: 0.0475 memory: 817 2022/07/29 22:22:53 - mmengine - INFO - Epoch(val) [12][640/2475] eta: 0:03:01 time: 0.0988 data_time: 0.0676 memory: 817 2022/07/29 22:22:54 - mmengine - INFO - Epoch(val) [12][660/2475] eta: 0:01:58 time: 0.0652 data_time: 0.0345 memory: 817 2022/07/29 22:22:56 - mmengine - INFO - Epoch(val) [12][680/2475] eta: 0:03:00 time: 0.1004 data_time: 0.0666 memory: 817 2022/07/29 22:22:57 - mmengine - INFO - Epoch(val) [12][700/2475] eta: 0:01:32 time: 0.0523 data_time: 0.0215 memory: 817 2022/07/29 22:22:59 - mmengine - INFO - Epoch(val) [12][720/2475] eta: 0:02:39 time: 0.0910 data_time: 0.0605 memory: 817 2022/07/29 22:23:01 - mmengine - INFO - Epoch(val) [12][740/2475] eta: 0:01:47 time: 0.0621 data_time: 0.0287 memory: 817 2022/07/29 22:23:02 - mmengine - INFO - Epoch(val) [12][760/2475] eta: 0:02:38 time: 0.0923 data_time: 0.0585 memory: 817 2022/07/29 22:23:04 - mmengine - INFO - Epoch(val) [12][780/2475] eta: 0:01:39 time: 0.0590 data_time: 0.0284 memory: 817 2022/07/29 22:23:05 - mmengine - INFO - Epoch(val) [12][800/2475] eta: 0:02:28 time: 0.0888 data_time: 0.0571 memory: 817 2022/07/29 22:23:07 - mmengine - INFO - Epoch(val) [12][820/2475] eta: 0:01:47 time: 0.0651 data_time: 0.0325 memory: 817 2022/07/29 22:23:09 - mmengine - INFO - Epoch(val) [12][840/2475] eta: 0:02:47 time: 0.1022 data_time: 0.0704 memory: 817 2022/07/29 22:23:10 - mmengine - INFO - Epoch(val) [12][860/2475] eta: 0:01:45 time: 0.0655 data_time: 0.0319 memory: 817 2022/07/29 22:23:12 - mmengine - INFO - Epoch(val) [12][880/2475] eta: 0:02:28 time: 0.0932 data_time: 0.0604 memory: 817 2022/07/29 22:23:13 - mmengine - INFO - Epoch(val) [12][900/2475] eta: 0:01:53 time: 0.0723 data_time: 0.0406 memory: 817 2022/07/29 22:23:15 - mmengine - INFO - Epoch(val) [12][920/2475] eta: 0:02:27 time: 0.0950 data_time: 0.0629 memory: 817 2022/07/29 22:23:17 - mmengine - INFO - Epoch(val) [12][940/2475] eta: 0:02:09 time: 0.0845 data_time: 0.0367 memory: 817 2022/07/29 22:23:19 - mmengine - INFO - Epoch(val) [12][960/2475] eta: 0:02:03 time: 0.0812 data_time: 0.0499 memory: 817 2022/07/29 22:23:20 - mmengine - INFO - Epoch(val) [12][980/2475] eta: 0:01:50 time: 0.0736 data_time: 0.0419 memory: 817 2022/07/29 22:23:22 - mmengine - INFO - Epoch(val) [12][1000/2475] eta: 0:02:10 time: 0.0882 data_time: 0.0556 memory: 817 2022/07/29 22:23:23 - mmengine - INFO - Epoch(val) [12][1020/2475] eta: 0:01:39 time: 0.0681 data_time: 0.0369 memory: 817 2022/07/29 22:23:25 - mmengine - INFO - Epoch(val) [12][1040/2475] eta: 0:02:23 time: 0.1001 data_time: 0.0672 memory: 817 2022/07/29 22:23:26 - mmengine - INFO - Epoch(val) [12][1060/2475] eta: 0:01:33 time: 0.0660 data_time: 0.0346 memory: 817 2022/07/29 22:23:29 - mmengine - INFO - Epoch(val) [12][1080/2475] eta: 0:02:36 time: 0.1119 data_time: 0.0803 memory: 817 2022/07/29 22:23:30 - mmengine - INFO - Epoch(val) [12][1100/2475] eta: 0:01:43 time: 0.0750 data_time: 0.0429 memory: 817 2022/07/29 22:23:32 - mmengine - INFO - Epoch(val) [12][1120/2475] eta: 0:01:50 time: 0.0815 data_time: 0.0493 memory: 817 2022/07/29 22:23:33 - mmengine - INFO - Epoch(val) [12][1140/2475] eta: 0:01:43 time: 0.0774 data_time: 0.0472 memory: 817 2022/07/29 22:23:35 - mmengine - INFO - Epoch(val) [12][1160/2475] eta: 0:01:16 time: 0.0580 data_time: 0.0240 memory: 817 2022/07/29 22:23:37 - mmengine - INFO - Epoch(val) [12][1180/2475] eta: 0:02:09 time: 0.0999 data_time: 0.0473 memory: 817 2022/07/29 22:23:38 - mmengine - INFO - Epoch(val) [12][1200/2475] eta: 0:01:16 time: 0.0602 data_time: 0.0215 memory: 817 2022/07/29 22:23:39 - mmengine - INFO - Epoch(val) [12][1220/2475] eta: 0:01:45 time: 0.0837 data_time: 0.0526 memory: 817 2022/07/29 22:23:41 - mmengine - INFO - Epoch(val) [12][1240/2475] eta: 0:01:44 time: 0.0847 data_time: 0.0531 memory: 817 2022/07/29 22:23:43 - mmengine - INFO - Epoch(val) [12][1260/2475] eta: 0:01:34 time: 0.0775 data_time: 0.0473 memory: 817 2022/07/29 22:23:44 - mmengine - INFO - Epoch(val) [12][1280/2475] eta: 0:01:32 time: 0.0774 data_time: 0.0461 memory: 817 2022/07/29 22:23:46 - mmengine - INFO - Epoch(val) [12][1300/2475] eta: 0:02:02 time: 0.1040 data_time: 0.0708 memory: 817 2022/07/29 22:23:48 - mmengine - INFO - Epoch(val) [12][1320/2475] eta: 0:01:17 time: 0.0670 data_time: 0.0346 memory: 817 2022/07/29 22:23:50 - mmengine - INFO - Epoch(val) [12][1340/2475] eta: 0:02:00 time: 0.1064 data_time: 0.0753 memory: 817 2022/07/29 22:23:51 - mmengine - INFO - Epoch(val) [12][1360/2475] eta: 0:01:03 time: 0.0565 data_time: 0.0244 memory: 817 2022/07/29 22:23:53 - mmengine - INFO - Epoch(val) [12][1380/2475] eta: 0:01:47 time: 0.0982 data_time: 0.0674 memory: 817 2022/07/29 22:23:54 - mmengine - INFO - Epoch(val) [12][1400/2475] eta: 0:01:14 time: 0.0695 data_time: 0.0399 memory: 817 2022/07/29 22:23:57 - mmengine - INFO - Epoch(val) [12][1420/2475] eta: 0:02:01 time: 0.1148 data_time: 0.0674 memory: 817 2022/07/29 22:23:57 - mmengine - INFO - Epoch(val) [12][1440/2475] eta: 0:00:42 time: 0.0412 data_time: 0.0037 memory: 817 2022/07/29 22:23:59 - mmengine - INFO - Epoch(val) [12][1460/2475] eta: 0:01:25 time: 0.0840 data_time: 0.0529 memory: 817 2022/07/29 22:24:01 - mmengine - INFO - Epoch(val) [12][1480/2475] eta: 0:01:20 time: 0.0810 data_time: 0.0502 memory: 817 2022/07/29 22:24:02 - mmengine - INFO - Epoch(val) [12][1500/2475] eta: 0:01:22 time: 0.0846 data_time: 0.0535 memory: 817 2022/07/29 22:24:04 - mmengine - INFO - Epoch(val) [12][1520/2475] eta: 0:01:18 time: 0.0822 data_time: 0.0515 memory: 817 2022/07/29 22:24:06 - mmengine - INFO - Epoch(val) [12][1540/2475] eta: 0:01:26 time: 0.0924 data_time: 0.0605 memory: 817 2022/07/29 22:24:07 - mmengine - INFO - Epoch(val) [12][1560/2475] eta: 0:00:59 time: 0.0653 data_time: 0.0346 memory: 817 2022/07/29 22:24:09 - mmengine - INFO - Epoch(val) [12][1580/2475] eta: 0:01:19 time: 0.0889 data_time: 0.0569 memory: 817 2022/07/29 22:24:11 - mmengine - INFO - Epoch(val) [12][1600/2475] eta: 0:01:06 time: 0.0765 data_time: 0.0463 memory: 817 2022/07/29 22:24:12 - mmengine - INFO - Epoch(val) [12][1620/2475] eta: 0:01:14 time: 0.0867 data_time: 0.0556 memory: 817 2022/07/29 22:24:14 - mmengine - INFO - Epoch(val) [12][1640/2475] eta: 0:01:04 time: 0.0775 data_time: 0.0451 memory: 817 2022/07/29 22:24:16 - mmengine - INFO - Epoch(val) [12][1660/2475] eta: 0:01:11 time: 0.0874 data_time: 0.0561 memory: 817 2022/07/29 22:24:17 - mmengine - INFO - Epoch(val) [12][1680/2475] eta: 0:01:04 time: 0.0807 data_time: 0.0335 memory: 817 2022/07/29 22:24:19 - mmengine - INFO - Epoch(val) [12][1700/2475] eta: 0:01:04 time: 0.0836 data_time: 0.0519 memory: 817 2022/07/29 22:24:20 - mmengine - INFO - Epoch(val) [12][1720/2475] eta: 0:00:57 time: 0.0761 data_time: 0.0463 memory: 817 2022/07/29 22:24:22 - mmengine - INFO - Epoch(val) [12][1740/2475] eta: 0:00:55 time: 0.0750 data_time: 0.0449 memory: 817 2022/07/29 22:24:24 - mmengine - INFO - Epoch(val) [12][1760/2475] eta: 0:01:02 time: 0.0869 data_time: 0.0565 memory: 817 2022/07/29 22:24:25 - mmengine - INFO - Epoch(val) [12][1780/2475] eta: 0:00:52 time: 0.0755 data_time: 0.0438 memory: 817 2022/07/29 22:24:27 - mmengine - INFO - Epoch(val) [12][1800/2475] eta: 0:01:06 time: 0.0992 data_time: 0.0670 memory: 817 2022/07/29 22:24:28 - mmengine - INFO - Epoch(val) [12][1820/2475] eta: 0:00:43 time: 0.0664 data_time: 0.0352 memory: 817 2022/07/29 22:24:30 - mmengine - INFO - Epoch(val) [12][1840/2475] eta: 0:00:55 time: 0.0867 data_time: 0.0540 memory: 817 2022/07/29 22:24:32 - mmengine - INFO - Epoch(val) [12][1860/2475] eta: 0:00:46 time: 0.0752 data_time: 0.0436 memory: 817 2022/07/29 22:24:34 - mmengine - INFO - Epoch(val) [12][1880/2475] eta: 0:00:58 time: 0.0980 data_time: 0.0670 memory: 817 2022/07/29 22:24:35 - mmengine - INFO - Epoch(val) [12][1900/2475] eta: 0:00:42 time: 0.0732 data_time: 0.0420 memory: 817 2022/07/29 22:24:37 - mmengine - INFO - Epoch(val) [12][1920/2475] eta: 0:00:43 time: 0.0793 data_time: 0.0465 memory: 817 2022/07/29 22:24:38 - mmengine - INFO - Epoch(val) [12][1940/2475] eta: 0:00:45 time: 0.0845 data_time: 0.0541 memory: 817 2022/07/29 22:24:40 - mmengine - INFO - Epoch(val) [12][1960/2475] eta: 0:00:41 time: 0.0804 data_time: 0.0486 memory: 817 2022/07/29 22:24:41 - mmengine - INFO - Epoch(val) [12][1980/2475] eta: 0:00:33 time: 0.0685 data_time: 0.0376 memory: 817 2022/07/29 22:24:43 - mmengine - INFO - Epoch(val) [12][2000/2475] eta: 0:00:36 time: 0.0772 data_time: 0.0468 memory: 817 2022/07/29 22:24:45 - mmengine - INFO - Epoch(val) [12][2020/2475] eta: 0:00:36 time: 0.0812 data_time: 0.0499 memory: 817 2022/07/29 22:24:46 - mmengine - INFO - Epoch(val) [12][2040/2475] eta: 0:00:38 time: 0.0875 data_time: 0.0556 memory: 817 2022/07/29 22:24:48 - mmengine - INFO - Epoch(val) [12][2060/2475] eta: 0:00:29 time: 0.0710 data_time: 0.0394 memory: 817 2022/07/29 22:24:50 - mmengine - INFO - Epoch(val) [12][2080/2475] eta: 0:00:40 time: 0.1036 data_time: 0.0735 memory: 817 2022/07/29 22:24:51 - mmengine - INFO - Epoch(val) [12][2100/2475] eta: 0:00:23 time: 0.0631 data_time: 0.0321 memory: 817 2022/07/29 22:24:53 - mmengine - INFO - Epoch(val) [12][2120/2475] eta: 0:00:30 time: 0.0850 data_time: 0.0545 memory: 817 2022/07/29 22:24:55 - mmengine - INFO - Epoch(val) [12][2140/2475] eta: 0:00:38 time: 0.1138 data_time: 0.0838 memory: 817 2022/07/29 22:24:56 - mmengine - INFO - Epoch(val) [12][2160/2475] eta: 0:00:17 time: 0.0552 data_time: 0.0168 memory: 817 2022/07/29 22:24:57 - mmengine - INFO - Epoch(val) [12][2180/2475] eta: 0:00:17 time: 0.0610 data_time: 0.0188 memory: 817 2022/07/29 22:24:59 - mmengine - INFO - Epoch(val) [12][2200/2475] eta: 0:00:27 time: 0.0994 data_time: 0.0695 memory: 817 2022/07/29 22:25:01 - mmengine - INFO - Epoch(val) [12][2220/2475] eta: 0:00:18 time: 0.0733 data_time: 0.0426 memory: 817 2022/07/29 22:25:03 - mmengine - INFO - Epoch(val) [12][2240/2475] eta: 0:00:25 time: 0.1073 data_time: 0.0772 memory: 817 2022/07/29 22:25:05 - mmengine - INFO - Epoch(val) [12][2260/2475] eta: 0:00:18 time: 0.0874 data_time: 0.0566 memory: 817 2022/07/29 22:25:06 - mmengine - INFO - Epoch(val) [12][2280/2475] eta: 0:00:14 time: 0.0747 data_time: 0.0421 memory: 817 2022/07/29 22:25:08 - mmengine - INFO - Epoch(val) [12][2300/2475] eta: 0:00:15 time: 0.0898 data_time: 0.0591 memory: 817 2022/07/29 22:25:09 - mmengine - INFO - Epoch(val) [12][2320/2475] eta: 0:00:10 time: 0.0705 data_time: 0.0395 memory: 817 2022/07/29 22:25:11 - mmengine - INFO - Epoch(val) [12][2340/2475] eta: 0:00:09 time: 0.0737 data_time: 0.0405 memory: 817 2022/07/29 22:25:12 - mmengine - INFO - Epoch(val) [12][2360/2475] eta: 0:00:08 time: 0.0776 data_time: 0.0464 memory: 817 2022/07/29 22:25:14 - mmengine - INFO - Epoch(val) [12][2380/2475] eta: 0:00:07 time: 0.0759 data_time: 0.0437 memory: 817 2022/07/29 22:25:16 - mmengine - INFO - Epoch(val) [12][2400/2475] eta: 0:00:06 time: 0.0833 data_time: 0.0531 memory: 817 2022/07/29 22:25:17 - mmengine - INFO - Epoch(val) [12][2420/2475] eta: 0:00:02 time: 0.0520 data_time: 0.0170 memory: 817 2022/07/29 22:25:18 - mmengine - INFO - Epoch(val) [12][2440/2475] eta: 0:00:01 time: 0.0432 data_time: 0.0127 memory: 817 2022/07/29 22:25:18 - mmengine - INFO - Epoch(val) [12][2460/2475] eta: 0:00:00 time: 0.0317 data_time: 0.0023 memory: 817 2022/07/29 22:25:20 - mmengine - INFO - Epoch(val) [12][2475/2475] acc/top1: 0.6934 acc/top5: 0.8867 acc/mean1: 0.6933 2022/07/29 22:25:48 - mmengine - INFO - Epoch(train) [13][20/2505] lr: 4.1000e-04 eta: 1 day, 8:14:41 time: 1.3973 data_time: 0.7523 memory: 32703 grad_norm: 23.5887 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7932 loss: 1.7932 2022/07/29 22:26:07 - mmengine - INFO - Epoch(train) [13][40/2505] lr: 4.1000e-04 eta: 1 day, 8:14:17 time: 0.9572 data_time: 0.2416 memory: 32703 grad_norm: 22.0593 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8220 loss: 1.8220 2022/07/29 22:26:31 - mmengine - INFO - Epoch(train) [13][60/2505] lr: 4.1000e-04 eta: 1 day, 8:14:09 time: 1.1679 data_time: 0.1456 memory: 32703 grad_norm: 22.3375 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6886 loss: 1.6886 2022/07/29 22:26:45 - mmengine - INFO - Epoch(train) [13][80/2505] lr: 4.1000e-04 eta: 1 day, 8:13:29 time: 0.7485 data_time: 0.0905 memory: 32703 grad_norm: 23.5838 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5625 loss: 1.5625 2022/07/29 22:27:09 - mmengine - INFO - Epoch(train) [13][100/2505] lr: 4.1000e-04 eta: 1 day, 8:13:22 time: 1.1772 data_time: 0.2447 memory: 32703 grad_norm: 23.5203 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7938 loss: 1.7938 2022/07/29 22:27:26 - mmengine - INFO - Epoch(train) [13][120/2505] lr: 4.1000e-04 eta: 1 day, 8:12:49 time: 0.8414 data_time: 0.0274 memory: 32703 grad_norm: 22.5724 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3687 loss: 1.3687 2022/07/29 22:27:47 - mmengine - INFO - Epoch(train) [13][140/2505] lr: 4.1000e-04 eta: 1 day, 8:12:32 time: 1.0464 data_time: 0.0264 memory: 32703 grad_norm: 22.9415 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7616 loss: 1.7616 2022/07/29 22:28:06 - mmengine - INFO - Epoch(train) [13][160/2505] lr: 4.1000e-04 eta: 1 day, 8:12:09 time: 0.9682 data_time: 0.0360 memory: 32703 grad_norm: 23.4448 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5568 loss: 1.5568 2022/07/29 22:28:27 - mmengine - INFO - Epoch(train) [13][180/2505] lr: 4.1000e-04 eta: 1 day, 8:11:50 time: 1.0263 data_time: 0.0345 memory: 32703 grad_norm: 23.2507 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5581 loss: 1.5581 2022/07/29 22:28:44 - mmengine - INFO - Epoch(train) [13][200/2505] lr: 4.1000e-04 eta: 1 day, 8:11:19 time: 0.8692 data_time: 0.0267 memory: 32703 grad_norm: 23.4221 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7755 loss: 1.7755 2022/07/29 22:29:05 - mmengine - INFO - Epoch(train) [13][220/2505] lr: 4.1000e-04 eta: 1 day, 8:11:01 time: 1.0252 data_time: 0.0271 memory: 32703 grad_norm: 23.5867 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5864 loss: 1.5864 2022/07/29 22:29:23 - mmengine - INFO - Epoch(train) [13][240/2505] lr: 4.1000e-04 eta: 1 day, 8:10:34 time: 0.9248 data_time: 0.0326 memory: 32703 grad_norm: 23.4712 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7806 loss: 1.7806 2022/07/29 22:29:43 - mmengine - INFO - Epoch(train) [13][260/2505] lr: 4.1000e-04 eta: 1 day, 8:10:12 time: 0.9753 data_time: 0.0278 memory: 32703 grad_norm: 22.5913 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5627 loss: 1.5627 2022/07/29 22:30:03 - mmengine - INFO - Epoch(train) [13][280/2505] lr: 4.1000e-04 eta: 1 day, 8:09:51 time: 1.0061 data_time: 0.0332 memory: 32703 grad_norm: 23.1273 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7376 loss: 1.7376 2022/07/29 22:30:23 - mmengine - INFO - Epoch(train) [13][300/2505] lr: 4.1000e-04 eta: 1 day, 8:09:31 time: 1.0022 data_time: 0.0511 memory: 32703 grad_norm: 23.4285 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5098 loss: 1.5098 2022/07/29 22:30:44 - mmengine - INFO - Epoch(train) [13][320/2505] lr: 4.1000e-04 eta: 1 day, 8:09:14 time: 1.0473 data_time: 0.1112 memory: 32703 grad_norm: 22.2917 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5665 loss: 1.5665 2022/07/29 22:31:01 - mmengine - INFO - Epoch(train) [13][340/2505] lr: 4.1000e-04 eta: 1 day, 8:08:44 time: 0.8842 data_time: 0.0786 memory: 32703 grad_norm: 23.1495 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5772 loss: 1.5772 2022/07/29 22:31:24 - mmengine - INFO - Epoch(train) [13][360/2505] lr: 4.1000e-04 eta: 1 day, 8:08:33 time: 1.1195 data_time: 0.2435 memory: 32703 grad_norm: 23.1803 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7292 loss: 1.7292 2022/07/29 22:31:41 - mmengine - INFO - Epoch(train) [13][380/2505] lr: 4.1000e-04 eta: 1 day, 8:08:02 time: 0.8704 data_time: 0.1383 memory: 32703 grad_norm: 24.0035 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7181 loss: 1.7181 2022/07/29 22:32:03 - mmengine - INFO - Epoch(train) [13][400/2505] lr: 4.1000e-04 eta: 1 day, 8:07:47 time: 1.0699 data_time: 0.1789 memory: 32703 grad_norm: 23.0900 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6234 loss: 1.6234 2022/07/29 22:32:21 - mmengine - INFO - Epoch(train) [13][420/2505] lr: 4.1000e-04 eta: 1 day, 8:07:19 time: 0.9025 data_time: 0.1917 memory: 32703 grad_norm: 21.8934 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5025 loss: 1.5025 2022/07/29 22:32:42 - mmengine - INFO - Epoch(train) [13][440/2505] lr: 4.1000e-04 eta: 1 day, 8:07:05 time: 1.0873 data_time: 0.2192 memory: 32703 grad_norm: 24.0929 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.7128 loss: 1.7128 2022/07/29 22:33:00 - mmengine - INFO - Epoch(train) [13][460/2505] lr: 4.1000e-04 eta: 1 day, 8:06:36 time: 0.8993 data_time: 0.0304 memory: 32703 grad_norm: 22.0732 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3526 loss: 1.3526 2022/07/29 22:33:19 - mmengine - INFO - Epoch(train) [13][480/2505] lr: 4.1000e-04 eta: 1 day, 8:06:12 time: 0.9486 data_time: 0.0335 memory: 32703 grad_norm: 22.5140 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9515 loss: 1.9515 2022/07/29 22:33:41 - mmengine - INFO - Epoch(train) [13][500/2505] lr: 4.1000e-04 eta: 1 day, 8:05:57 time: 1.0751 data_time: 0.0284 memory: 32703 grad_norm: 22.4167 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7117 loss: 1.7117 2022/07/29 22:33:59 - mmengine - INFO - Epoch(train) [13][520/2505] lr: 4.1000e-04 eta: 1 day, 8:05:29 time: 0.9130 data_time: 0.0288 memory: 32703 grad_norm: 22.8543 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6379 loss: 1.6379 2022/07/29 22:34:20 - mmengine - INFO - Epoch(train) [13][540/2505] lr: 4.1000e-04 eta: 1 day, 8:05:11 time: 1.0286 data_time: 0.0328 memory: 32703 grad_norm: 24.3009 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5952 loss: 1.5952 2022/07/29 22:34:42 - mmengine - INFO - Epoch(train) [13][560/2505] lr: 4.1000e-04 eta: 1 day, 8:04:58 time: 1.0976 data_time: 0.0279 memory: 32703 grad_norm: 23.5009 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8811 loss: 1.8811 2022/07/29 22:35:01 - mmengine - INFO - Epoch(train) [13][580/2505] lr: 4.1000e-04 eta: 1 day, 8:04:36 time: 0.9821 data_time: 0.0416 memory: 32703 grad_norm: 23.2952 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5020 loss: 1.5020 2022/07/29 22:35:22 - mmengine - INFO - Epoch(train) [13][600/2505] lr: 4.1000e-04 eta: 1 day, 8:04:19 time: 1.0493 data_time: 0.0319 memory: 32703 grad_norm: 23.8985 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 2.0218 loss: 2.0218 2022/07/29 22:35:40 - mmengine - INFO - Epoch(train) [13][620/2505] lr: 4.1000e-04 eta: 1 day, 8:03:49 time: 0.8868 data_time: 0.0302 memory: 32703 grad_norm: 23.3823 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7630 loss: 1.7630 2022/07/29 22:36:02 - mmengine - INFO - Epoch(train) [13][640/2505] lr: 4.1000e-04 eta: 1 day, 8:03:36 time: 1.0941 data_time: 0.0295 memory: 32703 grad_norm: 22.8177 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4477 loss: 1.4477 2022/07/29 22:36:19 - mmengine - INFO - Epoch(train) [13][660/2505] lr: 4.1000e-04 eta: 1 day, 8:03:04 time: 0.8471 data_time: 0.0269 memory: 32703 grad_norm: 23.3317 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4997 loss: 1.4997 2022/07/29 22:36:41 - mmengine - INFO - Epoch(train) [13][680/2505] lr: 4.1000e-04 eta: 1 day, 8:02:50 time: 1.0915 data_time: 0.0281 memory: 32703 grad_norm: 23.8869 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.6125 loss: 1.6125 2022/07/29 22:36:58 - mmengine - INFO - Epoch(train) [13][700/2505] lr: 4.1000e-04 eta: 1 day, 8:02:20 time: 0.8740 data_time: 0.0398 memory: 32703 grad_norm: 23.1690 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6000 loss: 1.6000 2022/07/29 22:37:20 - mmengine - INFO - Epoch(train) [13][720/2505] lr: 4.1000e-04 eta: 1 day, 8:02:05 time: 1.0797 data_time: 0.0277 memory: 32703 grad_norm: 23.4841 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7568 loss: 1.7568 2022/07/29 22:37:37 - mmengine - INFO - Epoch(train) [13][740/2505] lr: 4.1000e-04 eta: 1 day, 8:01:32 time: 0.8389 data_time: 0.0295 memory: 32703 grad_norm: 23.2316 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3380 loss: 1.3380 2022/07/29 22:37:59 - mmengine - INFO - Epoch(train) [13][760/2505] lr: 4.1000e-04 eta: 1 day, 8:01:20 time: 1.1138 data_time: 0.0306 memory: 32703 grad_norm: 23.4804 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8739 loss: 1.8739 2022/07/29 22:38:17 - mmengine - INFO - Epoch(train) [13][780/2505] lr: 4.1000e-04 eta: 1 day, 8:00:52 time: 0.8965 data_time: 0.0285 memory: 32703 grad_norm: 22.9502 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.0261 loss: 2.0261 2022/07/29 22:38:37 - mmengine - INFO - Epoch(train) [13][800/2505] lr: 4.1000e-04 eta: 1 day, 8:00:31 time: 0.9917 data_time: 0.0344 memory: 32703 grad_norm: 23.9227 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4623 loss: 1.4623 2022/07/29 22:38:57 - mmengine - INFO - Epoch(train) [13][820/2505] lr: 4.1000e-04 eta: 1 day, 8:00:11 time: 1.0123 data_time: 0.0358 memory: 32703 grad_norm: 23.1780 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6668 loss: 1.6668 2022/07/29 22:39:15 - mmengine - INFO - Epoch(train) [13][840/2505] lr: 4.1000e-04 eta: 1 day, 7:59:45 time: 0.9275 data_time: 0.0306 memory: 32703 grad_norm: 23.4793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7519 loss: 1.7519 2022/07/29 22:39:35 - mmengine - INFO - Epoch(train) [13][860/2505] lr: 4.1000e-04 eta: 1 day, 7:59:22 time: 0.9752 data_time: 0.0322 memory: 32703 grad_norm: 22.8440 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7987 loss: 1.7987 2022/07/29 22:39:56 - mmengine - INFO - Epoch(train) [13][880/2505] lr: 4.1000e-04 eta: 1 day, 7:59:07 time: 1.0758 data_time: 0.0362 memory: 32703 grad_norm: 22.9957 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4985 loss: 1.4985 2022/07/29 22:40:14 - mmengine - INFO - Epoch(train) [13][900/2505] lr: 4.1000e-04 eta: 1 day, 7:58:39 time: 0.8990 data_time: 0.0287 memory: 32703 grad_norm: 23.3122 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7427 loss: 1.7427 2022/07/29 22:40:35 - mmengine - INFO - Epoch(train) [13][920/2505] lr: 4.1000e-04 eta: 1 day, 7:58:20 time: 1.0236 data_time: 0.0275 memory: 32703 grad_norm: 23.0220 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6473 loss: 1.6473 2022/07/29 22:40:53 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 22:40:53 - mmengine - INFO - Epoch(train) [13][940/2505] lr: 4.1000e-04 eta: 1 day, 7:57:53 time: 0.9067 data_time: 0.0296 memory: 32703 grad_norm: 23.8923 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6580 loss: 1.6580 2022/07/29 22:41:15 - mmengine - INFO - Epoch(train) [13][960/2505] lr: 4.1000e-04 eta: 1 day, 7:57:38 time: 1.0844 data_time: 0.0277 memory: 32703 grad_norm: 22.5006 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3947 loss: 1.3947 2022/07/29 22:41:33 - mmengine - INFO - Epoch(train) [13][980/2505] lr: 4.1000e-04 eta: 1 day, 7:57:10 time: 0.9008 data_time: 0.0272 memory: 32703 grad_norm: 24.0881 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.7235 loss: 1.7235 2022/07/29 22:41:53 - mmengine - INFO - Epoch(train) [13][1000/2505] lr: 4.1000e-04 eta: 1 day, 7:56:51 time: 1.0239 data_time: 0.0267 memory: 32703 grad_norm: 23.4826 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3470 loss: 1.3470 2022/07/29 22:42:11 - mmengine - INFO - Epoch(train) [13][1020/2505] lr: 4.1000e-04 eta: 1 day, 7:56:24 time: 0.9023 data_time: 0.0352 memory: 32703 grad_norm: 23.0306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7520 loss: 1.7520 2022/07/29 22:42:33 - mmengine - INFO - Epoch(train) [13][1040/2505] lr: 4.1000e-04 eta: 1 day, 7:56:08 time: 1.0661 data_time: 0.0355 memory: 32703 grad_norm: 23.5908 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6568 loss: 1.6568 2022/07/29 22:42:51 - mmengine - INFO - Epoch(train) [13][1060/2505] lr: 4.1000e-04 eta: 1 day, 7:55:40 time: 0.9006 data_time: 0.0261 memory: 32703 grad_norm: 23.0980 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6629 loss: 1.6629 2022/07/29 22:43:13 - mmengine - INFO - Epoch(train) [13][1080/2505] lr: 4.1000e-04 eta: 1 day, 7:55:26 time: 1.0946 data_time: 0.0381 memory: 32703 grad_norm: 22.8896 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4828 loss: 1.4828 2022/07/29 22:43:29 - mmengine - INFO - Epoch(train) [13][1100/2505] lr: 4.1000e-04 eta: 1 day, 7:54:54 time: 0.8429 data_time: 0.0349 memory: 32703 grad_norm: 22.0193 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5004 loss: 1.5004 2022/07/29 22:43:50 - mmengine - INFO - Epoch(train) [13][1120/2505] lr: 4.1000e-04 eta: 1 day, 7:54:37 time: 1.0449 data_time: 0.0289 memory: 32703 grad_norm: 22.4768 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6090 loss: 1.6090 2022/07/29 22:44:10 - mmengine - INFO - Epoch(train) [13][1140/2505] lr: 4.1000e-04 eta: 1 day, 7:54:15 time: 0.9913 data_time: 0.0284 memory: 32703 grad_norm: 22.4223 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3377 loss: 1.3377 2022/07/29 22:44:29 - mmengine - INFO - Epoch(train) [13][1160/2505] lr: 4.1000e-04 eta: 1 day, 7:53:50 time: 0.9364 data_time: 0.0286 memory: 32703 grad_norm: 22.4014 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8295 loss: 1.8295 2022/07/29 22:44:49 - mmengine - INFO - Epoch(train) [13][1180/2505] lr: 4.1000e-04 eta: 1 day, 7:53:31 time: 1.0253 data_time: 0.0310 memory: 32703 grad_norm: 23.2137 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6857 loss: 1.6857 2022/07/29 22:45:08 - mmengine - INFO - Epoch(train) [13][1200/2505] lr: 4.1000e-04 eta: 1 day, 7:53:07 time: 0.9488 data_time: 0.0295 memory: 32703 grad_norm: 23.2972 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7157 loss: 1.7157 2022/07/29 22:45:28 - mmengine - INFO - Epoch(train) [13][1220/2505] lr: 4.1000e-04 eta: 1 day, 7:52:47 time: 1.0073 data_time: 0.0270 memory: 32703 grad_norm: 23.3250 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7019 loss: 1.7019 2022/07/29 22:45:48 - mmengine - INFO - Epoch(train) [13][1240/2505] lr: 4.1000e-04 eta: 1 day, 7:52:24 time: 0.9638 data_time: 0.0276 memory: 32703 grad_norm: 24.0406 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6165 loss: 1.6165 2022/07/29 22:46:07 - mmengine - INFO - Epoch(train) [13][1260/2505] lr: 4.1000e-04 eta: 1 day, 7:52:02 time: 0.9797 data_time: 0.0271 memory: 32703 grad_norm: 22.6025 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4392 loss: 1.4392 2022/07/29 22:46:27 - mmengine - INFO - Epoch(train) [13][1280/2505] lr: 4.1000e-04 eta: 1 day, 7:51:39 time: 0.9673 data_time: 0.0268 memory: 32703 grad_norm: 22.6911 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7094 loss: 1.7094 2022/07/29 22:46:48 - mmengine - INFO - Epoch(train) [13][1300/2505] lr: 4.1000e-04 eta: 1 day, 7:51:21 time: 1.0414 data_time: 0.0259 memory: 32703 grad_norm: 22.9640 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.6060 loss: 1.6060 2022/07/29 22:47:05 - mmengine - INFO - Epoch(train) [13][1320/2505] lr: 4.1000e-04 eta: 1 day, 7:50:52 time: 0.8789 data_time: 0.0323 memory: 32703 grad_norm: 21.9980 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5069 loss: 1.5069 2022/07/29 22:47:26 - mmengine - INFO - Epoch(train) [13][1340/2505] lr: 4.1000e-04 eta: 1 day, 7:50:34 time: 1.0413 data_time: 0.0264 memory: 32703 grad_norm: 22.7539 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5175 loss: 1.5175 2022/07/29 22:47:45 - mmengine - INFO - Epoch(train) [13][1360/2505] lr: 4.1000e-04 eta: 1 day, 7:50:10 time: 0.9513 data_time: 0.0289 memory: 32703 grad_norm: 22.5629 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6717 loss: 1.6717 2022/07/29 22:48:05 - mmengine - INFO - Epoch(train) [13][1380/2505] lr: 4.1000e-04 eta: 1 day, 7:49:48 time: 0.9807 data_time: 0.0268 memory: 32703 grad_norm: 23.3511 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8045 loss: 1.8045 2022/07/29 22:48:24 - mmengine - INFO - Epoch(train) [13][1400/2505] lr: 4.1000e-04 eta: 1 day, 7:49:25 time: 0.9714 data_time: 0.0300 memory: 32703 grad_norm: 23.4277 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4513 loss: 1.4513 2022/07/29 22:48:43 - mmengine - INFO - Epoch(train) [13][1420/2505] lr: 4.1000e-04 eta: 1 day, 7:49:03 time: 0.9759 data_time: 0.0288 memory: 32703 grad_norm: 23.0343 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.3881 loss: 1.3881 2022/07/29 22:49:04 - mmengine - INFO - Epoch(train) [13][1440/2505] lr: 4.1000e-04 eta: 1 day, 7:48:43 time: 1.0026 data_time: 0.0280 memory: 32703 grad_norm: 24.1495 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4550 loss: 1.4550 2022/07/29 22:49:24 - mmengine - INFO - Epoch(train) [13][1460/2505] lr: 4.1000e-04 eta: 1 day, 7:48:22 time: 1.0003 data_time: 0.0293 memory: 32703 grad_norm: 23.8091 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7756 loss: 1.7756 2022/07/29 22:49:44 - mmengine - INFO - Epoch(train) [13][1480/2505] lr: 4.1000e-04 eta: 1 day, 7:48:02 time: 1.0125 data_time: 0.0301 memory: 32703 grad_norm: 23.0396 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5822 loss: 1.5822 2022/07/29 22:50:03 - mmengine - INFO - Epoch(train) [13][1500/2505] lr: 4.1000e-04 eta: 1 day, 7:47:39 time: 0.9692 data_time: 0.0272 memory: 32703 grad_norm: 23.3471 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5415 loss: 1.5415 2022/07/29 22:50:23 - mmengine - INFO - Epoch(train) [13][1520/2505] lr: 4.1000e-04 eta: 1 day, 7:47:16 time: 0.9656 data_time: 0.0275 memory: 32703 grad_norm: 22.7957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6543 loss: 1.6543 2022/07/29 22:50:43 - mmengine - INFO - Epoch(train) [13][1540/2505] lr: 4.1000e-04 eta: 1 day, 7:46:57 time: 1.0155 data_time: 0.0306 memory: 32703 grad_norm: 21.6460 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7230 loss: 1.7230 2022/07/29 22:51:03 - mmengine - INFO - Epoch(train) [13][1560/2505] lr: 4.1000e-04 eta: 1 day, 7:46:36 time: 1.0026 data_time: 0.0279 memory: 32703 grad_norm: 23.0796 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8028 loss: 1.8028 2022/07/29 22:51:23 - mmengine - INFO - Epoch(train) [13][1580/2505] lr: 4.1000e-04 eta: 1 day, 7:46:15 time: 0.9906 data_time: 0.0285 memory: 32703 grad_norm: 22.8618 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8010 loss: 1.8010 2022/07/29 22:51:42 - mmengine - INFO - Epoch(train) [13][1600/2505] lr: 4.1000e-04 eta: 1 day, 7:45:52 time: 0.9694 data_time: 0.0271 memory: 32703 grad_norm: 22.8975 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6044 loss: 1.6044 2022/07/29 22:52:01 - mmengine - INFO - Epoch(train) [13][1620/2505] lr: 4.1000e-04 eta: 1 day, 7:45:28 time: 0.9524 data_time: 0.0280 memory: 32703 grad_norm: 21.1841 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6016 loss: 1.6016 2022/07/29 22:52:22 - mmengine - INFO - Epoch(train) [13][1640/2505] lr: 4.1000e-04 eta: 1 day, 7:45:10 time: 1.0287 data_time: 0.0289 memory: 32703 grad_norm: 22.2485 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.3238 loss: 1.3238 2022/07/29 22:52:40 - mmengine - INFO - Epoch(train) [13][1660/2505] lr: 4.1000e-04 eta: 1 day, 7:44:44 time: 0.9270 data_time: 0.0303 memory: 32703 grad_norm: 22.7905 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4378 loss: 1.4378 2022/07/29 22:53:00 - mmengine - INFO - Epoch(train) [13][1680/2505] lr: 4.1000e-04 eta: 1 day, 7:44:22 time: 0.9777 data_time: 0.0286 memory: 32703 grad_norm: 22.2895 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 1.7907 loss: 1.7907 2022/07/29 22:53:20 - mmengine - INFO - Epoch(train) [13][1700/2505] lr: 4.1000e-04 eta: 1 day, 7:44:04 time: 1.0319 data_time: 0.0261 memory: 32703 grad_norm: 22.6497 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6132 loss: 1.6132 2022/07/29 22:53:38 - mmengine - INFO - Epoch(train) [13][1720/2505] lr: 4.1000e-04 eta: 1 day, 7:43:34 time: 0.8671 data_time: 0.0264 memory: 32703 grad_norm: 23.4520 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6191 loss: 1.6191 2022/07/29 22:53:59 - mmengine - INFO - Epoch(train) [13][1740/2505] lr: 4.1000e-04 eta: 1 day, 7:43:15 time: 1.0327 data_time: 0.0303 memory: 32703 grad_norm: 22.0417 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6361 loss: 1.6361 2022/07/29 22:54:17 - mmengine - INFO - Epoch(train) [13][1760/2505] lr: 4.1000e-04 eta: 1 day, 7:42:50 time: 0.9318 data_time: 0.0308 memory: 32703 grad_norm: 22.3546 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6380 loss: 1.6380 2022/07/29 22:54:39 - mmengine - INFO - Epoch(train) [13][1780/2505] lr: 4.1000e-04 eta: 1 day, 7:42:35 time: 1.0774 data_time: 0.0275 memory: 32703 grad_norm: 22.8087 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5271 loss: 1.5271 2022/07/29 22:54:58 - mmengine - INFO - Epoch(train) [13][1800/2505] lr: 4.1000e-04 eta: 1 day, 7:42:12 time: 0.9686 data_time: 0.0323 memory: 32703 grad_norm: 23.1724 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4588 loss: 1.4588 2022/07/29 22:55:20 - mmengine - INFO - Epoch(train) [13][1820/2505] lr: 4.1000e-04 eta: 1 day, 7:41:58 time: 1.0975 data_time: 0.1155 memory: 32703 grad_norm: 22.3665 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5729 loss: 1.5729 2022/07/29 22:55:38 - mmengine - INFO - Epoch(train) [13][1840/2505] lr: 4.1000e-04 eta: 1 day, 7:41:32 time: 0.9202 data_time: 0.0275 memory: 32703 grad_norm: 22.4853 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5829 loss: 1.5829 2022/07/29 22:55:57 - mmengine - INFO - Epoch(train) [13][1860/2505] lr: 4.1000e-04 eta: 1 day, 7:41:08 time: 0.9464 data_time: 0.0342 memory: 32703 grad_norm: 22.4060 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5121 loss: 1.5121 2022/07/29 22:56:19 - mmengine - INFO - Epoch(train) [13][1880/2505] lr: 4.1000e-04 eta: 1 day, 7:40:52 time: 1.0722 data_time: 0.0269 memory: 32703 grad_norm: 23.5703 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8447 loss: 1.8447 2022/07/29 22:56:36 - mmengine - INFO - Epoch(train) [13][1900/2505] lr: 4.1000e-04 eta: 1 day, 7:40:22 time: 0.8638 data_time: 0.0423 memory: 32703 grad_norm: 22.4311 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7298 loss: 1.7298 2022/07/29 22:56:57 - mmengine - INFO - Epoch(train) [13][1920/2505] lr: 4.1000e-04 eta: 1 day, 7:40:05 time: 1.0411 data_time: 0.0281 memory: 32703 grad_norm: 23.1972 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5570 loss: 1.5570 2022/07/29 22:57:15 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 22:57:15 - mmengine - INFO - Epoch(train) [13][1940/2505] lr: 4.1000e-04 eta: 1 day, 7:39:38 time: 0.9194 data_time: 0.0330 memory: 32703 grad_norm: 23.1043 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.7666 loss: 1.7666 2022/07/29 22:57:35 - mmengine - INFO - Epoch(train) [13][1960/2505] lr: 4.1000e-04 eta: 1 day, 7:39:16 time: 0.9747 data_time: 0.0346 memory: 32703 grad_norm: 21.8002 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4119 loss: 1.4119 2022/07/29 22:57:55 - mmengine - INFO - Epoch(train) [13][1980/2505] lr: 4.1000e-04 eta: 1 day, 7:38:56 time: 1.0157 data_time: 0.0288 memory: 32703 grad_norm: 22.5060 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6021 loss: 1.6021 2022/07/29 22:58:14 - mmengine - INFO - Epoch(train) [13][2000/2505] lr: 4.1000e-04 eta: 1 day, 7:38:32 time: 0.9449 data_time: 0.0324 memory: 32703 grad_norm: 22.3400 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6299 loss: 1.6299 2022/07/29 22:58:33 - mmengine - INFO - Epoch(train) [13][2020/2505] lr: 4.1000e-04 eta: 1 day, 7:38:09 time: 0.9613 data_time: 0.0302 memory: 32703 grad_norm: 22.9058 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7825 loss: 1.7825 2022/07/29 22:58:53 - mmengine - INFO - Epoch(train) [13][2040/2505] lr: 4.1000e-04 eta: 1 day, 7:37:47 time: 0.9783 data_time: 0.0289 memory: 32703 grad_norm: 23.1939 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5694 loss: 1.5694 2022/07/29 22:59:11 - mmengine - INFO - Epoch(train) [13][2060/2505] lr: 4.1000e-04 eta: 1 day, 7:37:21 time: 0.9278 data_time: 0.0275 memory: 32703 grad_norm: 22.7320 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6009 loss: 1.6009 2022/07/29 22:59:31 - mmengine - INFO - Epoch(train) [13][2080/2505] lr: 4.1000e-04 eta: 1 day, 7:37:00 time: 0.9945 data_time: 0.0297 memory: 32703 grad_norm: 22.7132 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7643 loss: 1.7643 2022/07/29 22:59:52 - mmengine - INFO - Epoch(train) [13][2100/2505] lr: 4.1000e-04 eta: 1 day, 7:36:42 time: 1.0341 data_time: 0.0318 memory: 32703 grad_norm: 22.3330 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6098 loss: 1.6098 2022/07/29 23:00:11 - mmengine - INFO - Epoch(train) [13][2120/2505] lr: 4.1000e-04 eta: 1 day, 7:36:17 time: 0.9432 data_time: 0.0260 memory: 32703 grad_norm: 22.4178 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.6127 loss: 1.6127 2022/07/29 23:00:31 - mmengine - INFO - Epoch(train) [13][2140/2505] lr: 4.1000e-04 eta: 1 day, 7:35:58 time: 1.0198 data_time: 0.0270 memory: 32703 grad_norm: 23.0008 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6481 loss: 1.6481 2022/07/29 23:00:51 - mmengine - INFO - Epoch(train) [13][2160/2505] lr: 4.1000e-04 eta: 1 day, 7:35:36 time: 0.9756 data_time: 0.0299 memory: 32703 grad_norm: 23.4800 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6054 loss: 1.6054 2022/07/29 23:01:11 - mmengine - INFO - Epoch(train) [13][2180/2505] lr: 4.1000e-04 eta: 1 day, 7:35:15 time: 0.9988 data_time: 0.0278 memory: 32703 grad_norm: 22.8040 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7584 loss: 1.7584 2022/07/29 23:01:29 - mmengine - INFO - Epoch(train) [13][2200/2505] lr: 4.1000e-04 eta: 1 day, 7:34:50 time: 0.9304 data_time: 0.0340 memory: 32703 grad_norm: 22.3405 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8977 loss: 1.8977 2022/07/29 23:01:51 - mmengine - INFO - Epoch(train) [13][2220/2505] lr: 4.1000e-04 eta: 1 day, 7:34:35 time: 1.0760 data_time: 0.0310 memory: 32703 grad_norm: 22.7626 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5779 loss: 1.5779 2022/07/29 23:02:09 - mmengine - INFO - Epoch(train) [13][2240/2505] lr: 4.1000e-04 eta: 1 day, 7:34:07 time: 0.9002 data_time: 0.0338 memory: 32703 grad_norm: 21.8697 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5623 loss: 1.5623 2022/07/29 23:02:29 - mmengine - INFO - Epoch(train) [13][2260/2505] lr: 4.1000e-04 eta: 1 day, 7:33:48 time: 1.0207 data_time: 0.0256 memory: 32703 grad_norm: 22.7870 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7518 loss: 1.7518 2022/07/29 23:02:49 - mmengine - INFO - Epoch(train) [13][2280/2505] lr: 4.1000e-04 eta: 1 day, 7:33:27 time: 0.9940 data_time: 0.0286 memory: 32703 grad_norm: 22.3896 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6502 loss: 1.6502 2022/07/29 23:03:08 - mmengine - INFO - Epoch(train) [13][2300/2505] lr: 4.1000e-04 eta: 1 day, 7:33:04 time: 0.9566 data_time: 0.0264 memory: 32703 grad_norm: 21.8640 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5805 loss: 1.5805 2022/07/29 23:03:28 - mmengine - INFO - Epoch(train) [13][2320/2505] lr: 4.1000e-04 eta: 1 day, 7:32:43 time: 0.9913 data_time: 0.0315 memory: 32703 grad_norm: 22.6872 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4618 loss: 1.4618 2022/07/29 23:03:49 - mmengine - INFO - Epoch(train) [13][2340/2505] lr: 4.1000e-04 eta: 1 day, 7:32:25 time: 1.0364 data_time: 0.0258 memory: 32703 grad_norm: 21.6897 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6006 loss: 1.6006 2022/07/29 23:04:07 - mmengine - INFO - Epoch(train) [13][2360/2505] lr: 4.1000e-04 eta: 1 day, 7:31:57 time: 0.8972 data_time: 0.0265 memory: 32703 grad_norm: 22.5018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6140 loss: 1.6140 2022/07/29 23:04:29 - mmengine - INFO - Epoch(train) [13][2380/2505] lr: 4.1000e-04 eta: 1 day, 7:31:44 time: 1.1131 data_time: 0.0264 memory: 32703 grad_norm: 22.1527 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6463 loss: 1.6463 2022/07/29 23:04:47 - mmengine - INFO - Epoch(train) [13][2400/2505] lr: 4.1000e-04 eta: 1 day, 7:31:16 time: 0.8841 data_time: 0.0319 memory: 32703 grad_norm: 22.0203 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6853 loss: 1.6853 2022/07/29 23:05:08 - mmengine - INFO - Epoch(train) [13][2420/2505] lr: 4.1000e-04 eta: 1 day, 7:31:01 time: 1.0805 data_time: 0.0267 memory: 32703 grad_norm: 22.7551 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3744 loss: 1.3744 2022/07/29 23:05:27 - mmengine - INFO - Epoch(train) [13][2440/2505] lr: 4.1000e-04 eta: 1 day, 7:30:35 time: 0.9245 data_time: 0.0283 memory: 32703 grad_norm: 22.7439 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6630 loss: 1.6630 2022/07/29 23:05:47 - mmengine - INFO - Epoch(train) [13][2460/2505] lr: 4.1000e-04 eta: 1 day, 7:30:14 time: 0.9863 data_time: 0.0286 memory: 32703 grad_norm: 22.0733 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7577 loss: 1.7577 2022/07/29 23:06:06 - mmengine - INFO - Epoch(train) [13][2480/2505] lr: 4.1000e-04 eta: 1 day, 7:29:53 time: 0.9988 data_time: 0.0286 memory: 32703 grad_norm: 21.6537 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6140 loss: 1.6140 2022/07/29 23:06:24 - mmengine - INFO - Epoch(train) [13][2500/2505] lr: 4.1000e-04 eta: 1 day, 7:29:24 time: 0.8827 data_time: 0.0277 memory: 32703 grad_norm: 22.2461 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6486 loss: 1.6486 2022/07/29 23:06:27 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 23:06:27 - mmengine - INFO - Epoch(train) [13][2505/2505] lr: 4.1000e-04 eta: 1 day, 7:29:24 time: 0.7269 data_time: 0.0196 memory: 32703 grad_norm: 22.1116 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.6537 loss: 1.6537 2022/07/29 23:06:54 - mmengine - INFO - Epoch(train) [14][20/2505] lr: 4.4000e-04 eta: 1 day, 7:29:06 time: 1.3523 data_time: 0.6665 memory: 32703 grad_norm: 23.4484 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7026 loss: 1.7026 2022/07/29 23:07:13 - mmengine - INFO - Epoch(train) [14][40/2505] lr: 4.4000e-04 eta: 1 day, 7:28:42 time: 0.9520 data_time: 0.1380 memory: 32703 grad_norm: 21.3605 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6456 loss: 1.6456 2022/07/29 23:07:34 - mmengine - INFO - Epoch(train) [14][60/2505] lr: 4.4000e-04 eta: 1 day, 7:28:25 time: 1.0518 data_time: 0.3141 memory: 32703 grad_norm: 23.6321 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7240 loss: 1.7240 2022/07/29 23:07:53 - mmengine - INFO - Epoch(train) [14][80/2505] lr: 4.4000e-04 eta: 1 day, 7:28:01 time: 0.9439 data_time: 0.2539 memory: 32703 grad_norm: 22.1305 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5594 loss: 1.5594 2022/07/29 23:08:14 - mmengine - INFO - Epoch(train) [14][100/2505] lr: 4.4000e-04 eta: 1 day, 7:27:45 time: 1.0719 data_time: 0.3108 memory: 32703 grad_norm: 21.2683 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6434 loss: 1.6434 2022/07/29 23:08:34 - mmengine - INFO - Epoch(train) [14][120/2505] lr: 4.4000e-04 eta: 1 day, 7:27:24 time: 0.9968 data_time: 0.0988 memory: 32703 grad_norm: 22.2504 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7519 loss: 1.7519 2022/07/29 23:08:54 - mmengine - INFO - Epoch(train) [14][140/2505] lr: 4.4000e-04 eta: 1 day, 7:27:05 time: 1.0086 data_time: 0.0275 memory: 32703 grad_norm: 22.9484 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7101 loss: 1.7101 2022/07/29 23:09:12 - mmengine - INFO - Epoch(train) [14][160/2505] lr: 4.4000e-04 eta: 1 day, 7:26:37 time: 0.8954 data_time: 0.0279 memory: 32703 grad_norm: 23.4716 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7877 loss: 1.7877 2022/07/29 23:09:34 - mmengine - INFO - Epoch(train) [14][180/2505] lr: 4.4000e-04 eta: 1 day, 7:26:22 time: 1.0877 data_time: 0.0446 memory: 32703 grad_norm: 22.5686 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3812 loss: 1.3812 2022/07/29 23:09:52 - mmengine - INFO - Epoch(train) [14][200/2505] lr: 4.4000e-04 eta: 1 day, 7:25:54 time: 0.8904 data_time: 0.0313 memory: 32703 grad_norm: 23.6249 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4879 loss: 1.4879 2022/07/29 23:10:15 - mmengine - INFO - Epoch(train) [14][220/2505] lr: 4.4000e-04 eta: 1 day, 7:25:46 time: 1.1739 data_time: 0.0292 memory: 32703 grad_norm: 23.2610 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8411 loss: 1.8411 2022/07/29 23:10:32 - mmengine - INFO - Epoch(train) [14][240/2505] lr: 4.4000e-04 eta: 1 day, 7:25:13 time: 0.8172 data_time: 0.0270 memory: 32703 grad_norm: 21.3824 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5199 loss: 1.5199 2022/07/29 23:10:54 - mmengine - INFO - Epoch(train) [14][260/2505] lr: 4.4000e-04 eta: 1 day, 7:25:01 time: 1.1305 data_time: 0.0300 memory: 32703 grad_norm: 22.9423 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6212 loss: 1.6212 2022/07/29 23:11:12 - mmengine - INFO - Epoch(train) [14][280/2505] lr: 4.4000e-04 eta: 1 day, 7:24:33 time: 0.8854 data_time: 0.0297 memory: 32703 grad_norm: 21.6511 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6301 loss: 1.6301 2022/07/29 23:11:34 - mmengine - INFO - Epoch(train) [14][300/2505] lr: 4.4000e-04 eta: 1 day, 7:24:20 time: 1.1130 data_time: 0.0325 memory: 32703 grad_norm: 21.7908 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7018 loss: 1.7018 2022/07/29 23:11:52 - mmengine - INFO - Epoch(train) [14][320/2505] lr: 4.4000e-04 eta: 1 day, 7:23:51 time: 0.8688 data_time: 0.0278 memory: 32703 grad_norm: 21.6913 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5513 loss: 1.5513 2022/07/29 23:12:13 - mmengine - INFO - Epoch(train) [14][340/2505] lr: 4.4000e-04 eta: 1 day, 7:23:34 time: 1.0634 data_time: 0.0319 memory: 32703 grad_norm: 22.3401 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6591 loss: 1.6591 2022/07/29 23:12:31 - mmengine - INFO - Epoch(train) [14][360/2505] lr: 4.4000e-04 eta: 1 day, 7:23:07 time: 0.8949 data_time: 0.0330 memory: 32703 grad_norm: 22.1623 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5109 loss: 1.5109 2022/07/29 23:12:52 - mmengine - INFO - Epoch(train) [14][380/2505] lr: 4.4000e-04 eta: 1 day, 7:22:49 time: 1.0358 data_time: 0.0318 memory: 32703 grad_norm: 22.6878 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8334 loss: 1.8334 2022/07/29 23:13:10 - mmengine - INFO - Epoch(train) [14][400/2505] lr: 4.4000e-04 eta: 1 day, 7:22:23 time: 0.9294 data_time: 0.0314 memory: 32703 grad_norm: 22.2793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5607 loss: 1.5607 2022/07/29 23:13:31 - mmengine - INFO - Epoch(train) [14][420/2505] lr: 4.4000e-04 eta: 1 day, 7:22:05 time: 1.0341 data_time: 0.0271 memory: 32703 grad_norm: 23.2962 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5398 loss: 1.5398 2022/07/29 23:13:46 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 23:13:49 - mmengine - INFO - Epoch(train) [14][440/2505] lr: 4.4000e-04 eta: 1 day, 7:21:39 time: 0.9165 data_time: 0.0376 memory: 32703 grad_norm: 22.2292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5204 loss: 1.5204 2022/07/29 23:14:11 - mmengine - INFO - Epoch(train) [14][460/2505] lr: 4.4000e-04 eta: 1 day, 7:21:24 time: 1.0776 data_time: 0.0422 memory: 32703 grad_norm: 22.2632 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1776 loss: 1.1776 2022/07/29 23:14:29 - mmengine - INFO - Epoch(train) [14][480/2505] lr: 4.4000e-04 eta: 1 day, 7:20:57 time: 0.9062 data_time: 0.0286 memory: 32703 grad_norm: 22.5277 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6597 loss: 1.6597 2022/07/29 23:14:50 - mmengine - INFO - Epoch(train) [14][500/2505] lr: 4.4000e-04 eta: 1 day, 7:20:42 time: 1.0737 data_time: 0.0284 memory: 32703 grad_norm: 22.6259 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7756 loss: 1.7756 2022/07/29 23:15:09 - mmengine - INFO - Epoch(train) [14][520/2505] lr: 4.4000e-04 eta: 1 day, 7:20:15 time: 0.9116 data_time: 0.0308 memory: 32703 grad_norm: 22.8135 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.6169 loss: 1.6169 2022/07/29 23:15:30 - mmengine - INFO - Epoch(train) [14][540/2505] lr: 4.4000e-04 eta: 1 day, 7:19:58 time: 1.0438 data_time: 0.0315 memory: 32703 grad_norm: 22.7157 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4427 loss: 1.4427 2022/07/29 23:15:48 - mmengine - INFO - Epoch(train) [14][560/2505] lr: 4.4000e-04 eta: 1 day, 7:19:32 time: 0.9304 data_time: 0.0301 memory: 32703 grad_norm: 23.0291 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5443 loss: 1.5443 2022/07/29 23:16:09 - mmengine - INFO - Epoch(train) [14][580/2505] lr: 4.4000e-04 eta: 1 day, 7:19:16 time: 1.0643 data_time: 0.0310 memory: 32703 grad_norm: 22.3807 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5379 loss: 1.5379 2022/07/29 23:16:29 - mmengine - INFO - Epoch(train) [14][600/2505] lr: 4.4000e-04 eta: 1 day, 7:18:53 time: 0.9559 data_time: 0.0269 memory: 32703 grad_norm: 22.1095 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3843 loss: 1.3843 2022/07/29 23:16:50 - mmengine - INFO - Epoch(train) [14][620/2505] lr: 4.4000e-04 eta: 1 day, 7:18:38 time: 1.0796 data_time: 0.0275 memory: 32703 grad_norm: 23.0774 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7422 loss: 1.7422 2022/07/29 23:17:08 - mmengine - INFO - Epoch(train) [14][640/2505] lr: 4.4000e-04 eta: 1 day, 7:18:10 time: 0.8993 data_time: 0.0283 memory: 32703 grad_norm: 23.3250 top1_acc: 0.1667 top5_acc: 0.5833 loss_cls: 1.6313 loss: 1.6313 2022/07/29 23:17:30 - mmengine - INFO - Epoch(train) [14][660/2505] lr: 4.4000e-04 eta: 1 day, 7:17:55 time: 1.0694 data_time: 0.0300 memory: 32703 grad_norm: 21.2652 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8369 loss: 1.8369 2022/07/29 23:17:47 - mmengine - INFO - Epoch(train) [14][680/2505] lr: 4.4000e-04 eta: 1 day, 7:17:26 time: 0.8833 data_time: 0.0280 memory: 32703 grad_norm: 21.9676 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4547 loss: 1.4547 2022/07/29 23:18:09 - mmengine - INFO - Epoch(train) [14][700/2505] lr: 4.4000e-04 eta: 1 day, 7:17:11 time: 1.0766 data_time: 0.0440 memory: 32703 grad_norm: 22.9693 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4026 loss: 1.4026 2022/07/29 23:18:27 - mmengine - INFO - Epoch(train) [14][720/2505] lr: 4.4000e-04 eta: 1 day, 7:16:45 time: 0.9243 data_time: 0.0318 memory: 32703 grad_norm: 22.1506 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.6450 loss: 1.6450 2022/07/29 23:18:49 - mmengine - INFO - Epoch(train) [14][740/2505] lr: 4.4000e-04 eta: 1 day, 7:16:30 time: 1.0803 data_time: 0.0275 memory: 32703 grad_norm: 22.5654 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8012 loss: 1.8012 2022/07/29 23:19:07 - mmengine - INFO - Epoch(train) [14][760/2505] lr: 4.4000e-04 eta: 1 day, 7:16:02 time: 0.8885 data_time: 0.0274 memory: 32703 grad_norm: 22.4896 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5271 loss: 1.5271 2022/07/29 23:19:29 - mmengine - INFO - Epoch(train) [14][780/2505] lr: 4.4000e-04 eta: 1 day, 7:15:49 time: 1.1096 data_time: 0.0282 memory: 32703 grad_norm: 22.5283 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5348 loss: 1.5348 2022/07/29 23:19:48 - mmengine - INFO - Epoch(train) [14][800/2505] lr: 4.4000e-04 eta: 1 day, 7:15:25 time: 0.9421 data_time: 0.0286 memory: 32703 grad_norm: 23.3217 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5953 loss: 1.5953 2022/07/29 23:20:08 - mmengine - INFO - Epoch(train) [14][820/2505] lr: 4.4000e-04 eta: 1 day, 7:15:06 time: 1.0271 data_time: 0.0300 memory: 32703 grad_norm: 21.7187 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9245 loss: 1.9245 2022/07/29 23:20:28 - mmengine - INFO - Epoch(train) [14][840/2505] lr: 4.4000e-04 eta: 1 day, 7:14:44 time: 0.9723 data_time: 0.0273 memory: 32703 grad_norm: 21.6335 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5954 loss: 1.5954 2022/07/29 23:20:47 - mmengine - INFO - Epoch(train) [14][860/2505] lr: 4.4000e-04 eta: 1 day, 7:14:22 time: 0.9767 data_time: 0.0283 memory: 32703 grad_norm: 22.4685 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4407 loss: 1.4407 2022/07/29 23:21:05 - mmengine - INFO - Epoch(train) [14][880/2505] lr: 4.4000e-04 eta: 1 day, 7:13:56 time: 0.9172 data_time: 0.0280 memory: 32703 grad_norm: 23.0211 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8011 loss: 1.8011 2022/07/29 23:21:26 - mmengine - INFO - Epoch(train) [14][900/2505] lr: 4.4000e-04 eta: 1 day, 7:13:39 time: 1.0492 data_time: 0.0282 memory: 32703 grad_norm: 22.0997 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5915 loss: 1.5915 2022/07/29 23:21:44 - mmengine - INFO - Epoch(train) [14][920/2505] lr: 4.4000e-04 eta: 1 day, 7:13:11 time: 0.8904 data_time: 0.0286 memory: 32703 grad_norm: 22.1992 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4618 loss: 1.4618 2022/07/29 23:22:05 - mmengine - INFO - Epoch(train) [14][940/2505] lr: 4.4000e-04 eta: 1 day, 7:12:53 time: 1.0376 data_time: 0.0273 memory: 32703 grad_norm: 21.8956 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8707 loss: 1.8707 2022/07/29 23:22:23 - mmengine - INFO - Epoch(train) [14][960/2505] lr: 4.4000e-04 eta: 1 day, 7:12:25 time: 0.8921 data_time: 0.0282 memory: 32703 grad_norm: 22.0722 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4150 loss: 1.4150 2022/07/29 23:22:45 - mmengine - INFO - Epoch(train) [14][980/2505] lr: 4.4000e-04 eta: 1 day, 7:12:12 time: 1.0990 data_time: 0.0278 memory: 32703 grad_norm: 23.0484 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8477 loss: 1.8477 2022/07/29 23:23:03 - mmengine - INFO - Epoch(train) [14][1000/2505] lr: 4.4000e-04 eta: 1 day, 7:11:43 time: 0.8850 data_time: 0.0292 memory: 32703 grad_norm: 22.5285 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4809 loss: 1.4809 2022/07/29 23:23:25 - mmengine - INFO - Epoch(train) [14][1020/2505] lr: 4.4000e-04 eta: 1 day, 7:11:29 time: 1.0978 data_time: 0.0265 memory: 32703 grad_norm: 22.7651 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7562 loss: 1.7562 2022/07/29 23:23:43 - mmengine - INFO - Epoch(train) [14][1040/2505] lr: 4.4000e-04 eta: 1 day, 7:11:03 time: 0.9120 data_time: 0.0290 memory: 32703 grad_norm: 22.3106 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8037 loss: 1.8037 2022/07/29 23:24:03 - mmengine - INFO - Epoch(train) [14][1060/2505] lr: 4.4000e-04 eta: 1 day, 7:10:42 time: 0.9915 data_time: 0.0292 memory: 32703 grad_norm: 21.9750 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6011 loss: 1.6011 2022/07/29 23:24:21 - mmengine - INFO - Epoch(train) [14][1080/2505] lr: 4.4000e-04 eta: 1 day, 7:10:16 time: 0.9158 data_time: 0.0269 memory: 32703 grad_norm: 22.7929 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6288 loss: 1.6288 2022/07/29 23:24:42 - mmengine - INFO - Epoch(train) [14][1100/2505] lr: 4.4000e-04 eta: 1 day, 7:09:57 time: 1.0261 data_time: 0.0269 memory: 32703 grad_norm: 22.3385 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4430 loss: 1.4430 2022/07/29 23:25:01 - mmengine - INFO - Epoch(train) [14][1120/2505] lr: 4.4000e-04 eta: 1 day, 7:09:34 time: 0.9552 data_time: 0.0329 memory: 32703 grad_norm: 23.0971 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.8422 loss: 1.8422 2022/07/29 23:25:21 - mmengine - INFO - Epoch(train) [14][1140/2505] lr: 4.4000e-04 eta: 1 day, 7:09:15 time: 1.0146 data_time: 0.0311 memory: 32703 grad_norm: 21.5358 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6476 loss: 1.6476 2022/07/29 23:25:41 - mmengine - INFO - Epoch(train) [14][1160/2505] lr: 4.4000e-04 eta: 1 day, 7:08:55 time: 1.0090 data_time: 0.0317 memory: 32703 grad_norm: 22.8030 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6682 loss: 1.6682 2022/07/29 23:26:00 - mmengine - INFO - Epoch(train) [14][1180/2505] lr: 4.4000e-04 eta: 1 day, 7:08:30 time: 0.9329 data_time: 0.0296 memory: 32703 grad_norm: 22.7413 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.4844 loss: 1.4844 2022/07/29 23:26:21 - mmengine - INFO - Epoch(train) [14][1200/2505] lr: 4.4000e-04 eta: 1 day, 7:08:12 time: 1.0434 data_time: 0.0282 memory: 32703 grad_norm: 23.6680 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5921 loss: 1.5921 2022/07/29 23:26:39 - mmengine - INFO - Epoch(train) [14][1220/2505] lr: 4.4000e-04 eta: 1 day, 7:07:48 time: 0.9397 data_time: 0.0289 memory: 32703 grad_norm: 23.1629 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5776 loss: 1.5776 2022/07/29 23:27:00 - mmengine - INFO - Epoch(train) [14][1240/2505] lr: 4.4000e-04 eta: 1 day, 7:07:28 time: 1.0153 data_time: 0.0257 memory: 32703 grad_norm: 22.7165 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7004 loss: 1.7004 2022/07/29 23:27:19 - mmengine - INFO - Epoch(train) [14][1260/2505] lr: 4.4000e-04 eta: 1 day, 7:07:06 time: 0.9665 data_time: 0.0301 memory: 32703 grad_norm: 21.9622 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6033 loss: 1.6033 2022/07/29 23:27:39 - mmengine - INFO - Epoch(train) [14][1280/2505] lr: 4.4000e-04 eta: 1 day, 7:06:45 time: 1.0018 data_time: 0.0276 memory: 32703 grad_norm: 21.3855 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7635 loss: 1.7635 2022/07/29 23:28:00 - mmengine - INFO - Epoch(train) [14][1300/2505] lr: 4.4000e-04 eta: 1 day, 7:06:27 time: 1.0362 data_time: 0.0275 memory: 32703 grad_norm: 21.9229 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7752 loss: 1.7752 2022/07/29 23:28:18 - mmengine - INFO - Epoch(train) [14][1320/2505] lr: 4.4000e-04 eta: 1 day, 7:06:01 time: 0.9154 data_time: 0.0289 memory: 32703 grad_norm: 24.1011 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8007 loss: 1.8007 2022/07/29 23:28:39 - mmengine - INFO - Epoch(train) [14][1340/2505] lr: 4.4000e-04 eta: 1 day, 7:05:43 time: 1.0262 data_time: 0.0297 memory: 32703 grad_norm: 21.4873 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8480 loss: 1.8480 2022/07/29 23:28:58 - mmengine - INFO - Epoch(train) [14][1360/2505] lr: 4.4000e-04 eta: 1 day, 7:05:20 time: 0.9718 data_time: 0.0298 memory: 32703 grad_norm: 21.6944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7193 loss: 1.7193 2022/07/29 23:29:17 - mmengine - INFO - Epoch(train) [14][1380/2505] lr: 4.4000e-04 eta: 1 day, 7:04:56 time: 0.9345 data_time: 0.0317 memory: 32703 grad_norm: 22.9579 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5080 loss: 1.5080 2022/07/29 23:29:38 - mmengine - INFO - Epoch(train) [14][1400/2505] lr: 4.4000e-04 eta: 1 day, 7:04:40 time: 1.0764 data_time: 0.0297 memory: 32703 grad_norm: 22.6642 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5779 loss: 1.5779 2022/07/29 23:29:57 - mmengine - INFO - Epoch(train) [14][1420/2505] lr: 4.4000e-04 eta: 1 day, 7:04:16 time: 0.9416 data_time: 0.0299 memory: 32703 grad_norm: 23.0714 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4823 loss: 1.4823 2022/07/29 23:30:13 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 23:30:18 - mmengine - INFO - Epoch(train) [14][1440/2505] lr: 4.4000e-04 eta: 1 day, 7:03:59 time: 1.0489 data_time: 0.0341 memory: 32703 grad_norm: 22.2880 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6757 loss: 1.6757 2022/07/29 23:30:37 - mmengine - INFO - Epoch(train) [14][1460/2505] lr: 4.4000e-04 eta: 1 day, 7:03:35 time: 0.9444 data_time: 0.0284 memory: 32703 grad_norm: 22.1685 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4484 loss: 1.4484 2022/07/29 23:30:57 - mmengine - INFO - Epoch(train) [14][1480/2505] lr: 4.4000e-04 eta: 1 day, 7:03:14 time: 0.9957 data_time: 0.0302 memory: 32703 grad_norm: 22.3276 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7656 loss: 1.7656 2022/07/29 23:31:17 - mmengine - INFO - Epoch(train) [14][1500/2505] lr: 4.4000e-04 eta: 1 day, 7:02:53 time: 0.9978 data_time: 0.0313 memory: 32703 grad_norm: 22.4103 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6162 loss: 1.6162 2022/07/29 23:31:36 - mmengine - INFO - Epoch(train) [14][1520/2505] lr: 4.4000e-04 eta: 1 day, 7:02:31 time: 0.9644 data_time: 0.0265 memory: 32703 grad_norm: 22.4920 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5452 loss: 1.5452 2022/07/29 23:31:57 - mmengine - INFO - Epoch(train) [14][1540/2505] lr: 4.4000e-04 eta: 1 day, 7:02:13 time: 1.0476 data_time: 0.0353 memory: 32703 grad_norm: 22.9331 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5736 loss: 1.5736 2022/07/29 23:32:16 - mmengine - INFO - Epoch(train) [14][1560/2505] lr: 4.4000e-04 eta: 1 day, 7:01:48 time: 0.9235 data_time: 0.0293 memory: 32703 grad_norm: 21.6681 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4972 loss: 1.4972 2022/07/29 23:32:37 - mmengine - INFO - Epoch(train) [14][1580/2505] lr: 4.4000e-04 eta: 1 day, 7:01:32 time: 1.0643 data_time: 0.0330 memory: 32703 grad_norm: 21.9900 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6213 loss: 1.6213 2022/07/29 23:32:55 - mmengine - INFO - Epoch(train) [14][1600/2505] lr: 4.4000e-04 eta: 1 day, 7:01:05 time: 0.9053 data_time: 0.0251 memory: 32703 grad_norm: 21.9761 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6933 loss: 1.6933 2022/07/29 23:33:17 - mmengine - INFO - Epoch(train) [14][1620/2505] lr: 4.4000e-04 eta: 1 day, 7:00:51 time: 1.0888 data_time: 0.0334 memory: 32703 grad_norm: 21.2529 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6882 loss: 1.6882 2022/07/29 23:33:35 - mmengine - INFO - Epoch(train) [14][1640/2505] lr: 4.4000e-04 eta: 1 day, 7:00:24 time: 0.9089 data_time: 0.0301 memory: 32703 grad_norm: 22.1097 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5348 loss: 1.5348 2022/07/29 23:33:56 - mmengine - INFO - Epoch(train) [14][1660/2505] lr: 4.4000e-04 eta: 1 day, 7:00:08 time: 1.0707 data_time: 0.0331 memory: 32703 grad_norm: 22.0756 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5856 loss: 1.5856 2022/07/29 23:34:14 - mmengine - INFO - Epoch(train) [14][1680/2505] lr: 4.4000e-04 eta: 1 day, 6:59:39 time: 0.8600 data_time: 0.0280 memory: 32703 grad_norm: 21.3601 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4896 loss: 1.4896 2022/07/29 23:34:34 - mmengine - INFO - Epoch(train) [14][1700/2505] lr: 4.4000e-04 eta: 1 day, 6:59:20 time: 1.0272 data_time: 0.0416 memory: 32703 grad_norm: 22.1296 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6455 loss: 1.6455 2022/07/29 23:34:52 - mmengine - INFO - Epoch(train) [14][1720/2505] lr: 4.4000e-04 eta: 1 day, 6:58:55 time: 0.9185 data_time: 0.0287 memory: 32703 grad_norm: 22.2006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5207 loss: 1.5207 2022/07/29 23:35:15 - mmengine - INFO - Epoch(train) [14][1740/2505] lr: 4.4000e-04 eta: 1 day, 6:58:41 time: 1.1083 data_time: 0.0360 memory: 32703 grad_norm: 21.9471 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5318 loss: 1.5318 2022/07/29 23:35:32 - mmengine - INFO - Epoch(train) [14][1760/2505] lr: 4.4000e-04 eta: 1 day, 6:58:11 time: 0.8527 data_time: 0.0345 memory: 32703 grad_norm: 22.2407 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4651 loss: 1.4651 2022/07/29 23:35:54 - mmengine - INFO - Epoch(train) [14][1780/2505] lr: 4.4000e-04 eta: 1 day, 6:57:57 time: 1.0980 data_time: 0.0274 memory: 32703 grad_norm: 22.6482 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7736 loss: 1.7736 2022/07/29 23:36:12 - mmengine - INFO - Epoch(train) [14][1800/2505] lr: 4.4000e-04 eta: 1 day, 6:57:30 time: 0.9031 data_time: 0.0300 memory: 32703 grad_norm: 22.8733 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4837 loss: 1.4837 2022/07/29 23:36:32 - mmengine - INFO - Epoch(train) [14][1820/2505] lr: 4.4000e-04 eta: 1 day, 6:57:12 time: 1.0275 data_time: 0.0283 memory: 32703 grad_norm: 22.0532 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5273 loss: 1.5273 2022/07/29 23:36:52 - mmengine - INFO - Epoch(train) [14][1840/2505] lr: 4.4000e-04 eta: 1 day, 6:56:50 time: 0.9752 data_time: 0.0287 memory: 32703 grad_norm: 21.7612 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3167 loss: 1.3167 2022/07/29 23:37:13 - mmengine - INFO - Epoch(train) [14][1860/2505] lr: 4.4000e-04 eta: 1 day, 6:56:32 time: 1.0444 data_time: 0.0273 memory: 32703 grad_norm: 22.3871 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.5139 loss: 1.5139 2022/07/29 23:37:31 - mmengine - INFO - Epoch(train) [14][1880/2505] lr: 4.4000e-04 eta: 1 day, 6:56:06 time: 0.9142 data_time: 0.0253 memory: 32703 grad_norm: 21.5579 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.6373 loss: 1.6373 2022/07/29 23:37:52 - mmengine - INFO - Epoch(train) [14][1900/2505] lr: 4.4000e-04 eta: 1 day, 6:55:49 time: 1.0457 data_time: 0.0263 memory: 32703 grad_norm: 22.7399 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5913 loss: 1.5913 2022/07/29 23:38:10 - mmengine - INFO - Epoch(train) [14][1920/2505] lr: 4.4000e-04 eta: 1 day, 6:55:22 time: 0.9000 data_time: 0.0247 memory: 32703 grad_norm: 23.2403 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7002 loss: 1.7002 2022/07/29 23:38:31 - mmengine - INFO - Epoch(train) [14][1940/2505] lr: 4.4000e-04 eta: 1 day, 6:55:05 time: 1.0567 data_time: 0.0303 memory: 32703 grad_norm: 22.4716 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3807 loss: 1.3807 2022/07/29 23:38:50 - mmengine - INFO - Epoch(train) [14][1960/2505] lr: 4.4000e-04 eta: 1 day, 6:54:42 time: 0.9478 data_time: 0.0267 memory: 32703 grad_norm: 22.2366 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7851 loss: 1.7851 2022/07/29 23:39:11 - mmengine - INFO - Epoch(train) [14][1980/2505] lr: 4.4000e-04 eta: 1 day, 6:54:25 time: 1.0584 data_time: 0.0303 memory: 32703 grad_norm: 21.7884 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5921 loss: 1.5921 2022/07/29 23:39:29 - mmengine - INFO - Epoch(train) [14][2000/2505] lr: 4.4000e-04 eta: 1 day, 6:53:58 time: 0.9008 data_time: 0.0277 memory: 32703 grad_norm: 21.8643 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4609 loss: 1.4609 2022/07/29 23:39:51 - mmengine - INFO - Epoch(train) [14][2020/2505] lr: 4.4000e-04 eta: 1 day, 6:53:42 time: 1.0715 data_time: 0.0296 memory: 32703 grad_norm: 22.1307 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6293 loss: 1.6293 2022/07/29 23:40:09 - mmengine - INFO - Epoch(train) [14][2040/2505] lr: 4.4000e-04 eta: 1 day, 6:53:18 time: 0.9332 data_time: 0.0273 memory: 32703 grad_norm: 22.9955 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5733 loss: 1.5733 2022/07/29 23:40:31 - mmengine - INFO - Epoch(train) [14][2060/2505] lr: 4.4000e-04 eta: 1 day, 6:53:01 time: 1.0635 data_time: 0.0294 memory: 32703 grad_norm: 21.4110 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5455 loss: 1.5455 2022/07/29 23:40:50 - mmengine - INFO - Epoch(train) [14][2080/2505] lr: 4.4000e-04 eta: 1 day, 6:52:38 time: 0.9557 data_time: 0.0271 memory: 32703 grad_norm: 22.0085 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6742 loss: 1.6742 2022/07/29 23:41:09 - mmengine - INFO - Epoch(train) [14][2100/2505] lr: 4.4000e-04 eta: 1 day, 6:52:16 time: 0.9676 data_time: 0.0284 memory: 32703 grad_norm: 20.9647 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6303 loss: 1.6303 2022/07/29 23:41:27 - mmengine - INFO - Epoch(train) [14][2120/2505] lr: 4.4000e-04 eta: 1 day, 6:51:48 time: 0.8893 data_time: 0.0280 memory: 32703 grad_norm: 21.9546 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8768 loss: 1.8768 2022/07/29 23:41:48 - mmengine - INFO - Epoch(train) [14][2140/2505] lr: 4.4000e-04 eta: 1 day, 6:51:33 time: 1.0766 data_time: 0.0257 memory: 32703 grad_norm: 22.4331 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7749 loss: 1.7749 2022/07/29 23:42:06 - mmengine - INFO - Epoch(train) [14][2160/2505] lr: 4.4000e-04 eta: 1 day, 6:51:06 time: 0.9034 data_time: 0.0315 memory: 32703 grad_norm: 22.7768 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7015 loss: 1.7015 2022/07/29 23:42:28 - mmengine - INFO - Epoch(train) [14][2180/2505] lr: 4.4000e-04 eta: 1 day, 6:50:50 time: 1.0634 data_time: 0.0278 memory: 32703 grad_norm: 22.5150 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4230 loss: 1.4230 2022/07/29 23:42:45 - mmengine - INFO - Epoch(train) [14][2200/2505] lr: 4.4000e-04 eta: 1 day, 6:50:21 time: 0.8655 data_time: 0.0290 memory: 32703 grad_norm: 22.1986 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5884 loss: 1.5884 2022/07/29 23:43:07 - mmengine - INFO - Epoch(train) [14][2220/2505] lr: 4.4000e-04 eta: 1 day, 6:50:07 time: 1.1039 data_time: 0.0293 memory: 32703 grad_norm: 21.4537 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6558 loss: 1.6558 2022/07/29 23:43:24 - mmengine - INFO - Epoch(train) [14][2240/2505] lr: 4.4000e-04 eta: 1 day, 6:49:38 time: 0.8647 data_time: 0.0265 memory: 32703 grad_norm: 22.5127 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5429 loss: 1.5429 2022/07/29 23:43:46 - mmengine - INFO - Epoch(train) [14][2260/2505] lr: 4.4000e-04 eta: 1 day, 6:49:22 time: 1.0645 data_time: 0.0304 memory: 32703 grad_norm: 23.1533 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6672 loss: 1.6672 2022/07/29 23:44:05 - mmengine - INFO - Epoch(train) [14][2280/2505] lr: 4.4000e-04 eta: 1 day, 6:49:01 time: 0.9887 data_time: 0.0325 memory: 32703 grad_norm: 22.3251 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6612 loss: 1.6612 2022/07/29 23:44:27 - mmengine - INFO - Epoch(train) [14][2300/2505] lr: 4.4000e-04 eta: 1 day, 6:48:44 time: 1.0503 data_time: 0.0271 memory: 32703 grad_norm: 21.0347 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6618 loss: 1.6618 2022/07/29 23:44:45 - mmengine - INFO - Epoch(train) [14][2320/2505] lr: 4.4000e-04 eta: 1 day, 6:48:18 time: 0.9156 data_time: 0.0314 memory: 32703 grad_norm: 22.0188 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7763 loss: 1.7763 2022/07/29 23:45:04 - mmengine - INFO - Epoch(train) [14][2340/2505] lr: 4.4000e-04 eta: 1 day, 6:47:56 time: 0.9825 data_time: 0.0265 memory: 32703 grad_norm: 21.2952 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4686 loss: 1.4686 2022/07/29 23:45:24 - mmengine - INFO - Epoch(train) [14][2360/2505] lr: 4.4000e-04 eta: 1 day, 6:47:34 time: 0.9714 data_time: 0.0330 memory: 32703 grad_norm: 21.5460 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6957 loss: 1.6957 2022/07/29 23:45:44 - mmengine - INFO - Epoch(train) [14][2380/2505] lr: 4.4000e-04 eta: 1 day, 6:47:15 time: 1.0229 data_time: 0.0310 memory: 32703 grad_norm: 22.7669 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.4567 loss: 1.4567 2022/07/29 23:46:02 - mmengine - INFO - Epoch(train) [14][2400/2505] lr: 4.4000e-04 eta: 1 day, 6:46:48 time: 0.8961 data_time: 0.0264 memory: 32703 grad_norm: 21.5121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5872 loss: 1.5872 2022/07/29 23:46:23 - mmengine - INFO - Epoch(train) [14][2420/2505] lr: 4.4000e-04 eta: 1 day, 6:46:32 time: 1.0586 data_time: 0.0280 memory: 32703 grad_norm: 22.5315 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7758 loss: 1.7758 2022/07/29 23:46:39 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 23:46:42 - mmengine - INFO - Epoch(train) [14][2440/2505] lr: 4.4000e-04 eta: 1 day, 6:46:06 time: 0.9136 data_time: 0.0272 memory: 32703 grad_norm: 21.4447 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6034 loss: 1.6034 2022/07/29 23:47:02 - mmengine - INFO - Epoch(train) [14][2460/2505] lr: 4.4000e-04 eta: 1 day, 6:45:47 time: 1.0222 data_time: 0.0254 memory: 32703 grad_norm: 23.6474 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4758 loss: 1.4758 2022/07/29 23:47:21 - mmengine - INFO - Epoch(train) [14][2480/2505] lr: 4.4000e-04 eta: 1 day, 6:45:22 time: 0.9331 data_time: 0.0277 memory: 32703 grad_norm: 22.4177 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4505 loss: 1.4505 2022/07/29 23:47:39 - mmengine - INFO - Epoch(train) [14][2500/2505] lr: 4.4000e-04 eta: 1 day, 6:44:58 time: 0.9320 data_time: 0.0279 memory: 32703 grad_norm: 22.8170 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6646 loss: 1.6646 2022/07/29 23:47:42 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/29 23:47:42 - mmengine - INFO - Epoch(train) [14][2505/2505] lr: 4.4000e-04 eta: 1 day, 6:44:58 time: 0.7864 data_time: 0.0209 memory: 32703 grad_norm: 23.3535 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.7537 loss: 1.7537 2022/07/29 23:47:42 - mmengine - INFO - Saving checkpoint at 14 epochs 2022/07/29 23:48:11 - mmengine - INFO - Epoch(train) [15][20/2505] lr: 4.7000e-04 eta: 1 day, 6:44:27 time: 1.1649 data_time: 0.5494 memory: 32703 grad_norm: 22.4749 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3170 loss: 1.3170 2022/07/29 23:48:29 - mmengine - INFO - Epoch(train) [15][40/2505] lr: 4.7000e-04 eta: 1 day, 6:44:01 time: 0.9128 data_time: 0.3115 memory: 32703 grad_norm: 22.9028 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4655 loss: 1.4655 2022/07/29 23:48:51 - mmengine - INFO - Epoch(train) [15][60/2505] lr: 4.7000e-04 eta: 1 day, 6:43:45 time: 1.0742 data_time: 0.4560 memory: 32703 grad_norm: 23.1406 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5694 loss: 1.5694 2022/07/29 23:49:09 - mmengine - INFO - Epoch(train) [15][80/2505] lr: 4.7000e-04 eta: 1 day, 6:43:20 time: 0.9221 data_time: 0.3078 memory: 32703 grad_norm: 22.0855 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6701 loss: 1.6701 2022/07/29 23:49:30 - mmengine - INFO - Epoch(train) [15][100/2505] lr: 4.7000e-04 eta: 1 day, 6:43:03 time: 1.0492 data_time: 0.4508 memory: 32703 grad_norm: 22.6671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6393 loss: 1.6393 2022/07/29 23:49:49 - mmengine - INFO - Epoch(train) [15][120/2505] lr: 4.7000e-04 eta: 1 day, 6:42:39 time: 0.9439 data_time: 0.3469 memory: 32703 grad_norm: 22.6911 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5323 loss: 1.5323 2022/07/29 23:50:10 - mmengine - INFO - Epoch(train) [15][140/2505] lr: 4.7000e-04 eta: 1 day, 6:42:23 time: 1.0701 data_time: 0.4762 memory: 32703 grad_norm: 22.2965 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4778 loss: 1.4778 2022/07/29 23:50:28 - mmengine - INFO - Epoch(train) [15][160/2505] lr: 4.7000e-04 eta: 1 day, 6:41:56 time: 0.8939 data_time: 0.2723 memory: 32703 grad_norm: 21.4754 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5184 loss: 1.5184 2022/07/29 23:50:50 - mmengine - INFO - Epoch(train) [15][180/2505] lr: 4.7000e-04 eta: 1 day, 6:41:40 time: 1.0640 data_time: 0.4511 memory: 32703 grad_norm: 22.2214 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5295 loss: 1.5295 2022/07/29 23:51:08 - mmengine - INFO - Epoch(train) [15][200/2505] lr: 4.7000e-04 eta: 1 day, 6:41:15 time: 0.9314 data_time: 0.3341 memory: 32703 grad_norm: 23.1133 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4971 loss: 1.4971 2022/07/29 23:51:29 - mmengine - INFO - Epoch(train) [15][220/2505] lr: 4.7000e-04 eta: 1 day, 6:40:58 time: 1.0551 data_time: 0.4416 memory: 32703 grad_norm: 21.8570 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7681 loss: 1.7681 2022/07/29 23:51:48 - mmengine - INFO - Epoch(train) [15][240/2505] lr: 4.7000e-04 eta: 1 day, 6:40:33 time: 0.9218 data_time: 0.2776 memory: 32703 grad_norm: 22.0111 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6483 loss: 1.6483 2022/07/29 23:52:09 - mmengine - INFO - Epoch(train) [15][260/2505] lr: 4.7000e-04 eta: 1 day, 6:40:16 time: 1.0496 data_time: 0.4083 memory: 32703 grad_norm: 21.7596 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2769 loss: 1.2769 2022/07/29 23:52:28 - mmengine - INFO - Epoch(train) [15][280/2505] lr: 4.7000e-04 eta: 1 day, 6:39:54 time: 0.9810 data_time: 0.1145 memory: 32703 grad_norm: 21.9165 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3358 loss: 1.3358 2022/07/29 23:52:47 - mmengine - INFO - Epoch(train) [15][300/2505] lr: 4.7000e-04 eta: 1 day, 6:39:29 time: 0.9177 data_time: 0.0289 memory: 32703 grad_norm: 21.3280 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4650 loss: 1.4650 2022/07/29 23:53:08 - mmengine - INFO - Epoch(train) [15][320/2505] lr: 4.7000e-04 eta: 1 day, 6:39:12 time: 1.0574 data_time: 0.0315 memory: 32703 grad_norm: 21.7151 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5960 loss: 1.5960 2022/07/29 23:53:25 - mmengine - INFO - Epoch(train) [15][340/2505] lr: 4.7000e-04 eta: 1 day, 6:38:44 time: 0.8787 data_time: 0.0267 memory: 32703 grad_norm: 21.3041 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3139 loss: 1.3139 2022/07/29 23:53:46 - mmengine - INFO - Epoch(train) [15][360/2505] lr: 4.7000e-04 eta: 1 day, 6:38:27 time: 1.0512 data_time: 0.0276 memory: 32703 grad_norm: 22.2204 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6602 loss: 1.6602 2022/07/29 23:54:05 - mmengine - INFO - Epoch(train) [15][380/2505] lr: 4.7000e-04 eta: 1 day, 6:38:01 time: 0.9145 data_time: 0.0858 memory: 32703 grad_norm: 21.2673 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.8012 loss: 1.8012 2022/07/29 23:54:25 - mmengine - INFO - Epoch(train) [15][400/2505] lr: 4.7000e-04 eta: 1 day, 6:37:41 time: 1.0020 data_time: 0.0733 memory: 32703 grad_norm: 21.5962 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3948 loss: 1.3948 2022/07/29 23:54:44 - mmengine - INFO - Epoch(train) [15][420/2505] lr: 4.7000e-04 eta: 1 day, 6:37:19 time: 0.9639 data_time: 0.1022 memory: 32703 grad_norm: 21.4540 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5807 loss: 1.5807 2022/07/29 23:55:04 - mmengine - INFO - Epoch(train) [15][440/2505] lr: 4.7000e-04 eta: 1 day, 6:37:00 time: 1.0226 data_time: 0.0650 memory: 32703 grad_norm: 22.0948 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4926 loss: 1.4926 2022/07/29 23:55:24 - mmengine - INFO - Epoch(train) [15][460/2505] lr: 4.7000e-04 eta: 1 day, 6:36:37 time: 0.9672 data_time: 0.1617 memory: 32703 grad_norm: 22.1761 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.5264 loss: 1.5264 2022/07/29 23:55:44 - mmengine - INFO - Epoch(train) [15][480/2505] lr: 4.7000e-04 eta: 1 day, 6:36:19 time: 1.0238 data_time: 0.1182 memory: 32703 grad_norm: 22.2661 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3663 loss: 1.3663 2022/07/29 23:56:03 - mmengine - INFO - Epoch(train) [15][500/2505] lr: 4.7000e-04 eta: 1 day, 6:35:56 time: 0.9565 data_time: 0.2086 memory: 32703 grad_norm: 20.8392 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7920 loss: 1.7920 2022/07/29 23:56:23 - mmengine - INFO - Epoch(train) [15][520/2505] lr: 4.7000e-04 eta: 1 day, 6:35:33 time: 0.9687 data_time: 0.2438 memory: 32703 grad_norm: 21.1255 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.4774 loss: 1.4774 2022/07/29 23:56:44 - mmengine - INFO - Epoch(train) [15][540/2505] lr: 4.7000e-04 eta: 1 day, 6:35:17 time: 1.0691 data_time: 0.4250 memory: 32703 grad_norm: 22.4090 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5809 loss: 1.5809 2022/07/29 23:57:03 - mmengine - INFO - Epoch(train) [15][560/2505] lr: 4.7000e-04 eta: 1 day, 6:34:52 time: 0.9229 data_time: 0.2881 memory: 32703 grad_norm: 22.1672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5897 loss: 1.5897 2022/07/29 23:57:24 - mmengine - INFO - Epoch(train) [15][580/2505] lr: 4.7000e-04 eta: 1 day, 6:34:35 time: 1.0543 data_time: 0.4335 memory: 32703 grad_norm: 22.5501 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6445 loss: 1.6445 2022/07/29 23:57:43 - mmengine - INFO - Epoch(train) [15][600/2505] lr: 4.7000e-04 eta: 1 day, 6:34:13 time: 0.9632 data_time: 0.3703 memory: 32703 grad_norm: 22.9707 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7033 loss: 1.7033 2022/07/29 23:58:04 - mmengine - INFO - Epoch(train) [15][620/2505] lr: 4.7000e-04 eta: 1 day, 6:33:56 time: 1.0618 data_time: 0.4795 memory: 32703 grad_norm: 22.7643 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5148 loss: 1.5148 2022/07/29 23:58:23 - mmengine - INFO - Epoch(train) [15][640/2505] lr: 4.7000e-04 eta: 1 day, 6:33:32 time: 0.9462 data_time: 0.3298 memory: 32703 grad_norm: 20.7938 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6398 loss: 1.6398 2022/07/29 23:58:43 - mmengine - INFO - Epoch(train) [15][660/2505] lr: 4.7000e-04 eta: 1 day, 6:33:13 time: 1.0078 data_time: 0.3882 memory: 32703 grad_norm: 21.9719 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5685 loss: 1.5685 2022/07/29 23:59:03 - mmengine - INFO - Epoch(train) [15][680/2505] lr: 4.7000e-04 eta: 1 day, 6:32:50 time: 0.9638 data_time: 0.3495 memory: 32703 grad_norm: 22.0064 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7959 loss: 1.7959 2022/07/29 23:59:22 - mmengine - INFO - Epoch(train) [15][700/2505] lr: 4.7000e-04 eta: 1 day, 6:32:29 time: 0.9877 data_time: 0.3702 memory: 32703 grad_norm: 22.3721 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.7490 loss: 1.7490 2022/07/29 23:59:41 - mmengine - INFO - Epoch(train) [15][720/2505] lr: 4.7000e-04 eta: 1 day, 6:32:04 time: 0.9279 data_time: 0.3142 memory: 32703 grad_norm: 21.6887 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5427 loss: 1.5427 2022/07/30 00:00:01 - mmengine - INFO - Epoch(train) [15][740/2505] lr: 4.7000e-04 eta: 1 day, 6:31:44 time: 0.9946 data_time: 0.3856 memory: 32703 grad_norm: 21.7523 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5111 loss: 1.5111 2022/07/30 00:00:21 - mmengine - INFO - Epoch(train) [15][760/2505] lr: 4.7000e-04 eta: 1 day, 6:31:23 time: 0.9891 data_time: 0.2235 memory: 32703 grad_norm: 22.3199 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4824 loss: 1.4824 2022/07/30 00:00:43 - mmengine - INFO - Epoch(train) [15][780/2505] lr: 4.7000e-04 eta: 1 day, 6:31:08 time: 1.0971 data_time: 0.4891 memory: 32703 grad_norm: 22.0950 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7081 loss: 1.7081 2022/07/30 00:01:02 - mmengine - INFO - Epoch(train) [15][800/2505] lr: 4.7000e-04 eta: 1 day, 6:30:46 time: 0.9638 data_time: 0.3610 memory: 32703 grad_norm: 21.7812 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3215 loss: 1.3215 2022/07/30 00:01:23 - mmengine - INFO - Epoch(train) [15][820/2505] lr: 4.7000e-04 eta: 1 day, 6:30:29 time: 1.0543 data_time: 0.4396 memory: 32703 grad_norm: 21.4185 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5234 loss: 1.5234 2022/07/30 00:01:42 - mmengine - INFO - Epoch(train) [15][840/2505] lr: 4.7000e-04 eta: 1 day, 6:30:04 time: 0.9341 data_time: 0.3343 memory: 32703 grad_norm: 21.4282 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7917 loss: 1.7917 2022/07/30 00:02:02 - mmengine - INFO - Epoch(train) [15][860/2505] lr: 4.7000e-04 eta: 1 day, 6:29:46 time: 1.0251 data_time: 0.4475 memory: 32703 grad_norm: 21.1070 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8432 loss: 1.8432 2022/07/30 00:02:22 - mmengine - INFO - Epoch(train) [15][880/2505] lr: 4.7000e-04 eta: 1 day, 6:29:24 time: 0.9800 data_time: 0.3763 memory: 32703 grad_norm: 22.0476 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8292 loss: 1.8292 2022/07/30 00:02:43 - mmengine - INFO - Epoch(train) [15][900/2505] lr: 4.7000e-04 eta: 1 day, 6:29:07 time: 1.0506 data_time: 0.4497 memory: 32703 grad_norm: 20.6508 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4373 loss: 1.4373 2022/07/30 00:03:00 - mmengine - INFO - Epoch(train) [15][920/2505] lr: 4.7000e-04 eta: 1 day, 6:28:39 time: 0.8748 data_time: 0.2906 memory: 32703 grad_norm: 21.9972 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6839 loss: 1.6839 2022/07/30 00:03:12 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 00:03:21 - mmengine - INFO - Epoch(train) [15][940/2505] lr: 4.7000e-04 eta: 1 day, 6:28:21 time: 1.0477 data_time: 0.4362 memory: 32703 grad_norm: 21.9951 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5916 loss: 1.5916 2022/07/30 00:03:39 - mmengine - INFO - Epoch(train) [15][960/2505] lr: 4.7000e-04 eta: 1 day, 6:27:54 time: 0.8774 data_time: 0.2681 memory: 32703 grad_norm: 22.6726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5830 loss: 1.5830 2022/07/30 00:04:01 - mmengine - INFO - Epoch(train) [15][980/2505] lr: 4.7000e-04 eta: 1 day, 6:27:39 time: 1.0897 data_time: 0.4715 memory: 32703 grad_norm: 22.1861 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5276 loss: 1.5276 2022/07/30 00:04:18 - mmengine - INFO - Epoch(train) [15][1000/2505] lr: 4.7000e-04 eta: 1 day, 6:27:12 time: 0.8904 data_time: 0.2813 memory: 32703 grad_norm: 22.2974 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8362 loss: 1.8362 2022/07/30 00:04:41 - mmengine - INFO - Epoch(train) [15][1020/2505] lr: 4.7000e-04 eta: 1 day, 6:26:59 time: 1.1184 data_time: 0.5046 memory: 32703 grad_norm: 21.3196 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3426 loss: 1.3426 2022/07/30 00:04:58 - mmengine - INFO - Epoch(train) [15][1040/2505] lr: 4.7000e-04 eta: 1 day, 6:26:32 time: 0.8857 data_time: 0.2805 memory: 32703 grad_norm: 23.8273 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7596 loss: 1.7596 2022/07/30 00:05:20 - mmengine - INFO - Epoch(train) [15][1060/2505] lr: 4.7000e-04 eta: 1 day, 6:26:17 time: 1.0888 data_time: 0.4757 memory: 32703 grad_norm: 22.6877 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5869 loss: 1.5869 2022/07/30 00:05:38 - mmengine - INFO - Epoch(train) [15][1080/2505] lr: 4.7000e-04 eta: 1 day, 6:25:50 time: 0.8985 data_time: 0.2863 memory: 32703 grad_norm: 22.0660 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7140 loss: 1.7140 2022/07/30 00:06:00 - mmengine - INFO - Epoch(train) [15][1100/2505] lr: 4.7000e-04 eta: 1 day, 6:25:36 time: 1.0942 data_time: 0.4804 memory: 32703 grad_norm: 21.6871 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5561 loss: 1.5561 2022/07/30 00:06:17 - mmengine - INFO - Epoch(train) [15][1120/2505] lr: 4.7000e-04 eta: 1 day, 6:25:07 time: 0.8601 data_time: 0.2522 memory: 32703 grad_norm: 21.6988 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4856 loss: 1.4856 2022/07/30 00:06:38 - mmengine - INFO - Epoch(train) [15][1140/2505] lr: 4.7000e-04 eta: 1 day, 6:24:50 time: 1.0538 data_time: 0.4473 memory: 32703 grad_norm: 22.4251 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7115 loss: 1.7115 2022/07/30 00:06:56 - mmengine - INFO - Epoch(train) [15][1160/2505] lr: 4.7000e-04 eta: 1 day, 6:24:23 time: 0.8997 data_time: 0.3146 memory: 32703 grad_norm: 22.6282 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9091 loss: 1.9091 2022/07/30 00:07:18 - mmengine - INFO - Epoch(train) [15][1180/2505] lr: 4.7000e-04 eta: 1 day, 6:24:09 time: 1.1004 data_time: 0.3575 memory: 32703 grad_norm: 21.7013 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5274 loss: 1.5274 2022/07/30 00:07:38 - mmengine - INFO - Epoch(train) [15][1200/2505] lr: 4.7000e-04 eta: 1 day, 6:23:47 time: 0.9638 data_time: 0.1988 memory: 32703 grad_norm: 22.5376 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6000 loss: 1.6000 2022/07/30 00:07:57 - mmengine - INFO - Epoch(train) [15][1220/2505] lr: 4.7000e-04 eta: 1 day, 6:23:25 time: 0.9780 data_time: 0.2750 memory: 32703 grad_norm: 21.8263 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6815 loss: 1.6815 2022/07/30 00:08:16 - mmengine - INFO - Epoch(train) [15][1240/2505] lr: 4.7000e-04 eta: 1 day, 6:23:01 time: 0.9302 data_time: 0.2632 memory: 32703 grad_norm: 22.1565 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7237 loss: 1.7237 2022/07/30 00:08:38 - mmengine - INFO - Epoch(train) [15][1260/2505] lr: 4.7000e-04 eta: 1 day, 6:22:47 time: 1.1087 data_time: 0.4586 memory: 32703 grad_norm: 20.8946 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7525 loss: 1.7525 2022/07/30 00:08:55 - mmengine - INFO - Epoch(train) [15][1280/2505] lr: 4.7000e-04 eta: 1 day, 6:22:17 time: 0.8434 data_time: 0.2735 memory: 32703 grad_norm: 22.3648 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7289 loss: 1.7289 2022/07/30 00:09:16 - mmengine - INFO - Epoch(train) [15][1300/2505] lr: 4.7000e-04 eta: 1 day, 6:22:01 time: 1.0770 data_time: 0.4529 memory: 32703 grad_norm: 21.8015 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5923 loss: 1.5923 2022/07/30 00:09:34 - mmengine - INFO - Epoch(train) [15][1320/2505] lr: 4.7000e-04 eta: 1 day, 6:21:33 time: 0.8634 data_time: 0.2641 memory: 32703 grad_norm: 21.7437 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4020 loss: 1.4020 2022/07/30 00:09:54 - mmengine - INFO - Epoch(train) [15][1340/2505] lr: 4.7000e-04 eta: 1 day, 6:21:14 time: 1.0230 data_time: 0.2962 memory: 32703 grad_norm: 21.4442 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7598 loss: 1.7598 2022/07/30 00:10:15 - mmengine - INFO - Epoch(train) [15][1360/2505] lr: 4.7000e-04 eta: 1 day, 6:20:58 time: 1.0641 data_time: 0.1717 memory: 32703 grad_norm: 22.6783 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5132 loss: 1.5132 2022/07/30 00:10:35 - mmengine - INFO - Epoch(train) [15][1380/2505] lr: 4.7000e-04 eta: 1 day, 6:20:35 time: 0.9645 data_time: 0.0590 memory: 32703 grad_norm: 21.8865 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5865 loss: 1.5865 2022/07/30 00:10:56 - mmengine - INFO - Epoch(train) [15][1400/2505] lr: 4.7000e-04 eta: 1 day, 6:20:19 time: 1.0691 data_time: 0.0301 memory: 32703 grad_norm: 21.7526 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.5552 loss: 1.5552 2022/07/30 00:11:14 - mmengine - INFO - Epoch(train) [15][1420/2505] lr: 4.7000e-04 eta: 1 day, 6:19:52 time: 0.8898 data_time: 0.0323 memory: 32703 grad_norm: 21.2755 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6763 loss: 1.6763 2022/07/30 00:11:35 - mmengine - INFO - Epoch(train) [15][1440/2505] lr: 4.7000e-04 eta: 1 day, 6:19:35 time: 1.0562 data_time: 0.0270 memory: 32703 grad_norm: 21.7002 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6027 loss: 1.6027 2022/07/30 00:11:53 - mmengine - INFO - Epoch(train) [15][1460/2505] lr: 4.7000e-04 eta: 1 day, 6:19:09 time: 0.9075 data_time: 0.0320 memory: 32703 grad_norm: 21.7885 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6996 loss: 1.6996 2022/07/30 00:12:15 - mmengine - INFO - Epoch(train) [15][1480/2505] lr: 4.7000e-04 eta: 1 day, 6:18:54 time: 1.0847 data_time: 0.0289 memory: 32703 grad_norm: 21.8951 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4469 loss: 1.4469 2022/07/30 00:12:33 - mmengine - INFO - Epoch(train) [15][1500/2505] lr: 4.7000e-04 eta: 1 day, 6:18:30 time: 0.9300 data_time: 0.0359 memory: 32703 grad_norm: 21.7275 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6822 loss: 1.6822 2022/07/30 00:12:54 - mmengine - INFO - Epoch(train) [15][1520/2505] lr: 4.7000e-04 eta: 1 day, 6:18:12 time: 1.0457 data_time: 0.0282 memory: 32703 grad_norm: 22.3410 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6022 loss: 1.6022 2022/07/30 00:13:13 - mmengine - INFO - Epoch(train) [15][1540/2505] lr: 4.7000e-04 eta: 1 day, 6:17:47 time: 0.9251 data_time: 0.0323 memory: 32703 grad_norm: 21.2313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5636 loss: 1.5636 2022/07/30 00:13:33 - mmengine - INFO - Epoch(train) [15][1560/2505] lr: 4.7000e-04 eta: 1 day, 6:17:28 time: 1.0126 data_time: 0.0261 memory: 32703 grad_norm: 22.7772 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5987 loss: 1.5987 2022/07/30 00:13:52 - mmengine - INFO - Epoch(train) [15][1580/2505] lr: 4.7000e-04 eta: 1 day, 6:17:06 time: 0.9665 data_time: 0.0347 memory: 32703 grad_norm: 21.1491 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.5700 loss: 1.5700 2022/07/30 00:14:14 - mmengine - INFO - Epoch(train) [15][1600/2505] lr: 4.7000e-04 eta: 1 day, 6:16:50 time: 1.0835 data_time: 0.0277 memory: 32703 grad_norm: 22.0451 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.8859 loss: 1.8859 2022/07/30 00:14:32 - mmengine - INFO - Epoch(train) [15][1620/2505] lr: 4.7000e-04 eta: 1 day, 6:16:25 time: 0.9156 data_time: 0.0298 memory: 32703 grad_norm: 20.4481 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.3670 loss: 1.3670 2022/07/30 00:14:53 - mmengine - INFO - Epoch(train) [15][1640/2505] lr: 4.7000e-04 eta: 1 day, 6:16:06 time: 1.0254 data_time: 0.0265 memory: 32703 grad_norm: 20.4028 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4630 loss: 1.4630 2022/07/30 00:15:13 - mmengine - INFO - Epoch(train) [15][1660/2505] lr: 4.7000e-04 eta: 1 day, 6:15:46 time: 0.9980 data_time: 0.0306 memory: 32703 grad_norm: 21.5434 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8278 loss: 1.8278 2022/07/30 00:15:33 - mmengine - INFO - Epoch(train) [15][1680/2505] lr: 4.7000e-04 eta: 1 day, 6:15:25 time: 0.9919 data_time: 0.0387 memory: 32703 grad_norm: 22.0214 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6114 loss: 1.6114 2022/07/30 00:15:51 - mmengine - INFO - Epoch(train) [15][1700/2505] lr: 4.7000e-04 eta: 1 day, 6:15:00 time: 0.9133 data_time: 0.0587 memory: 32703 grad_norm: 21.9751 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3434 loss: 1.3434 2022/07/30 00:16:11 - mmengine - INFO - Epoch(train) [15][1720/2505] lr: 4.7000e-04 eta: 1 day, 6:14:40 time: 1.0126 data_time: 0.0293 memory: 32703 grad_norm: 21.4607 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5414 loss: 1.5414 2022/07/30 00:16:29 - mmengine - INFO - Epoch(train) [15][1740/2505] lr: 4.7000e-04 eta: 1 day, 6:14:13 time: 0.8923 data_time: 0.0298 memory: 32703 grad_norm: 21.3478 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4468 loss: 1.4468 2022/07/30 00:16:51 - mmengine - INFO - Epoch(train) [15][1760/2505] lr: 4.7000e-04 eta: 1 day, 6:13:59 time: 1.1060 data_time: 0.0603 memory: 32703 grad_norm: 21.3189 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.4463 loss: 1.4463 2022/07/30 00:17:11 - mmengine - INFO - Epoch(train) [15][1780/2505] lr: 4.7000e-04 eta: 1 day, 6:13:38 time: 0.9831 data_time: 0.1507 memory: 32703 grad_norm: 22.9314 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7650 loss: 1.7650 2022/07/30 00:17:30 - mmengine - INFO - Epoch(train) [15][1800/2505] lr: 4.7000e-04 eta: 1 day, 6:13:16 time: 0.9758 data_time: 0.1470 memory: 32703 grad_norm: 21.8594 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5666 loss: 1.5666 2022/07/30 00:17:49 - mmengine - INFO - Epoch(train) [15][1820/2505] lr: 4.7000e-04 eta: 1 day, 6:12:53 time: 0.9432 data_time: 0.1383 memory: 32703 grad_norm: 23.2009 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.6849 loss: 1.6849 2022/07/30 00:18:10 - mmengine - INFO - Epoch(train) [15][1840/2505] lr: 4.7000e-04 eta: 1 day, 6:12:35 time: 1.0487 data_time: 0.1642 memory: 32703 grad_norm: 20.4513 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5609 loss: 1.5609 2022/07/30 00:18:29 - mmengine - INFO - Epoch(train) [15][1860/2505] lr: 4.7000e-04 eta: 1 day, 6:12:10 time: 0.9121 data_time: 0.1584 memory: 32703 grad_norm: 21.8879 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5953 loss: 1.5953 2022/07/30 00:18:50 - mmengine - INFO - Epoch(train) [15][1880/2505] lr: 4.7000e-04 eta: 1 day, 6:11:53 time: 1.0487 data_time: 0.3323 memory: 32703 grad_norm: 21.9014 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6826 loss: 1.6826 2022/07/30 00:19:07 - mmengine - INFO - Epoch(train) [15][1900/2505] lr: 4.7000e-04 eta: 1 day, 6:11:26 time: 0.8903 data_time: 0.2883 memory: 32703 grad_norm: 21.2827 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7705 loss: 1.7705 2022/07/30 00:19:27 - mmengine - INFO - Epoch(train) [15][1920/2505] lr: 4.7000e-04 eta: 1 day, 6:11:04 time: 0.9776 data_time: 0.3095 memory: 32703 grad_norm: 22.0317 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5011 loss: 1.5011 2022/07/30 00:19:38 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 00:19:47 - mmengine - INFO - Epoch(train) [15][1940/2505] lr: 4.7000e-04 eta: 1 day, 6:10:45 time: 1.0220 data_time: 0.1466 memory: 32703 grad_norm: 21.9118 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6189 loss: 1.6189 2022/07/30 00:20:05 - mmengine - INFO - Epoch(train) [15][1960/2505] lr: 4.7000e-04 eta: 1 day, 6:10:19 time: 0.8947 data_time: 0.0572 memory: 32703 grad_norm: 20.8836 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8470 loss: 1.8470 2022/07/30 00:20:27 - mmengine - INFO - Epoch(train) [15][1980/2505] lr: 4.7000e-04 eta: 1 day, 6:10:03 time: 1.0797 data_time: 0.0288 memory: 32703 grad_norm: 22.3909 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7946 loss: 1.7946 2022/07/30 00:20:45 - mmengine - INFO - Epoch(train) [15][2000/2505] lr: 4.7000e-04 eta: 1 day, 6:09:37 time: 0.8905 data_time: 0.0336 memory: 32703 grad_norm: 21.8925 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8563 loss: 1.8563 2022/07/30 00:21:07 - mmengine - INFO - Epoch(train) [15][2020/2505] lr: 4.7000e-04 eta: 1 day, 6:09:23 time: 1.1150 data_time: 0.0276 memory: 32703 grad_norm: 22.3716 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9413 loss: 1.9413 2022/07/30 00:21:25 - mmengine - INFO - Epoch(train) [15][2040/2505] lr: 4.7000e-04 eta: 1 day, 6:08:57 time: 0.9080 data_time: 0.0622 memory: 32703 grad_norm: 22.8356 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8071 loss: 1.8071 2022/07/30 00:21:46 - mmengine - INFO - Epoch(train) [15][2060/2505] lr: 4.7000e-04 eta: 1 day, 6:08:41 time: 1.0608 data_time: 0.0263 memory: 32703 grad_norm: 21.4052 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4994 loss: 1.4994 2022/07/30 00:22:05 - mmengine - INFO - Epoch(train) [15][2080/2505] lr: 4.7000e-04 eta: 1 day, 6:08:16 time: 0.9248 data_time: 0.0327 memory: 32703 grad_norm: 21.2500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7515 loss: 1.7515 2022/07/30 00:22:26 - mmengine - INFO - Epoch(train) [15][2100/2505] lr: 4.7000e-04 eta: 1 day, 6:07:59 time: 1.0450 data_time: 0.0298 memory: 32703 grad_norm: 22.1489 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3977 loss: 1.3977 2022/07/30 00:22:44 - mmengine - INFO - Epoch(train) [15][2120/2505] lr: 4.7000e-04 eta: 1 day, 6:07:33 time: 0.9110 data_time: 0.0317 memory: 32703 grad_norm: 21.6506 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7216 loss: 1.7216 2022/07/30 00:23:04 - mmengine - INFO - Epoch(train) [15][2140/2505] lr: 4.7000e-04 eta: 1 day, 6:07:14 time: 1.0164 data_time: 0.0292 memory: 32703 grad_norm: 22.0164 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5920 loss: 1.5920 2022/07/30 00:23:23 - mmengine - INFO - Epoch(train) [15][2160/2505] lr: 4.7000e-04 eta: 1 day, 6:06:50 time: 0.9447 data_time: 0.0314 memory: 32703 grad_norm: 22.3016 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4537 loss: 1.4537 2022/07/30 00:23:44 - mmengine - INFO - Epoch(train) [15][2180/2505] lr: 4.7000e-04 eta: 1 day, 6:06:32 time: 1.0404 data_time: 0.0263 memory: 32703 grad_norm: 21.6609 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6224 loss: 1.6224 2022/07/30 00:24:03 - mmengine - INFO - Epoch(train) [15][2200/2505] lr: 4.7000e-04 eta: 1 day, 6:06:10 time: 0.9715 data_time: 0.0271 memory: 32703 grad_norm: 21.2849 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6345 loss: 1.6345 2022/07/30 00:24:24 - mmengine - INFO - Epoch(train) [15][2220/2505] lr: 4.7000e-04 eta: 1 day, 6:05:51 time: 1.0126 data_time: 0.0295 memory: 32703 grad_norm: 21.2189 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7900 loss: 1.7900 2022/07/30 00:24:43 - mmengine - INFO - Epoch(train) [15][2240/2505] lr: 4.7000e-04 eta: 1 day, 6:05:28 time: 0.9581 data_time: 0.0288 memory: 32703 grad_norm: 22.1670 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5091 loss: 1.5091 2022/07/30 00:25:03 - mmengine - INFO - Epoch(train) [15][2260/2505] lr: 4.7000e-04 eta: 1 day, 6:05:08 time: 1.0064 data_time: 0.0306 memory: 32703 grad_norm: 22.3705 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6572 loss: 1.6572 2022/07/30 00:25:22 - mmengine - INFO - Epoch(train) [15][2280/2505] lr: 4.7000e-04 eta: 1 day, 6:04:44 time: 0.9362 data_time: 0.0379 memory: 32703 grad_norm: 21.3451 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5835 loss: 1.5835 2022/07/30 00:25:42 - mmengine - INFO - Epoch(train) [15][2300/2505] lr: 4.7000e-04 eta: 1 day, 6:04:25 time: 1.0095 data_time: 0.0334 memory: 32703 grad_norm: 21.9123 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8314 loss: 1.8314 2022/07/30 00:25:59 - mmengine - INFO - Epoch(train) [15][2320/2505] lr: 4.7000e-04 eta: 1 day, 6:03:57 time: 0.8706 data_time: 0.0305 memory: 32703 grad_norm: 21.5011 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7388 loss: 1.7388 2022/07/30 00:26:20 - mmengine - INFO - Epoch(train) [15][2340/2505] lr: 4.7000e-04 eta: 1 day, 6:03:39 time: 1.0321 data_time: 0.0655 memory: 32703 grad_norm: 21.8433 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4932 loss: 1.4932 2022/07/30 00:26:39 - mmengine - INFO - Epoch(train) [15][2360/2505] lr: 4.7000e-04 eta: 1 day, 6:03:16 time: 0.9634 data_time: 0.0322 memory: 32703 grad_norm: 21.7406 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7986 loss: 1.7986 2022/07/30 00:27:00 - mmengine - INFO - Epoch(train) [15][2380/2505] lr: 4.7000e-04 eta: 1 day, 6:02:59 time: 1.0512 data_time: 0.0280 memory: 32703 grad_norm: 21.8124 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4652 loss: 1.4652 2022/07/30 00:27:19 - mmengine - INFO - Epoch(train) [15][2400/2505] lr: 4.7000e-04 eta: 1 day, 6:02:35 time: 0.9289 data_time: 0.0294 memory: 32703 grad_norm: 22.1673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4029 loss: 1.4029 2022/07/30 00:27:40 - mmengine - INFO - Epoch(train) [15][2420/2505] lr: 4.7000e-04 eta: 1 day, 6:02:18 time: 1.0693 data_time: 0.0344 memory: 32703 grad_norm: 21.7304 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7377 loss: 1.7377 2022/07/30 00:27:58 - mmengine - INFO - Epoch(train) [15][2440/2505] lr: 4.7000e-04 eta: 1 day, 6:01:52 time: 0.8950 data_time: 0.0284 memory: 32703 grad_norm: 21.5369 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5402 loss: 1.5402 2022/07/30 00:28:21 - mmengine - INFO - Epoch(train) [15][2460/2505] lr: 4.7000e-04 eta: 1 day, 6:01:39 time: 1.1282 data_time: 0.0353 memory: 32703 grad_norm: 21.4657 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5878 loss: 1.5878 2022/07/30 00:28:38 - mmengine - INFO - Epoch(train) [15][2480/2505] lr: 4.7000e-04 eta: 1 day, 6:01:12 time: 0.8719 data_time: 0.0292 memory: 32703 grad_norm: 21.8180 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3987 loss: 1.3987 2022/07/30 00:28:56 - mmengine - INFO - Epoch(train) [15][2500/2505] lr: 4.7000e-04 eta: 1 day, 6:00:45 time: 0.8847 data_time: 0.0459 memory: 32703 grad_norm: 20.9234 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5179 loss: 1.5179 2022/07/30 00:28:59 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 00:28:59 - mmengine - INFO - Epoch(train) [15][2505/2505] lr: 4.7000e-04 eta: 1 day, 6:00:45 time: 0.7445 data_time: 0.0397 memory: 32703 grad_norm: 21.8706 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6299 loss: 1.6299 2022/07/30 00:29:01 - mmengine - INFO - Epoch(val) [15][20/2475] eta: 0:04:07 time: 0.1009 data_time: 0.0701 memory: 817 2022/07/30 00:29:02 - mmengine - INFO - Epoch(val) [15][40/2475] eta: 0:02:41 time: 0.0663 data_time: 0.0356 memory: 817 2022/07/30 00:29:04 - mmengine - INFO - Epoch(val) [15][60/2475] eta: 0:04:12 time: 0.1046 data_time: 0.0726 memory: 817 2022/07/30 00:29:06 - mmengine - INFO - Epoch(val) [15][80/2475] eta: 0:02:55 time: 0.0733 data_time: 0.0403 memory: 817 2022/07/30 00:29:08 - mmengine - INFO - Epoch(val) [15][100/2475] eta: 0:03:53 time: 0.0984 data_time: 0.0656 memory: 817 2022/07/30 00:29:09 - mmengine - INFO - Epoch(val) [15][120/2475] eta: 0:02:28 time: 0.0632 data_time: 0.0305 memory: 817 2022/07/30 00:29:10 - mmengine - INFO - Epoch(val) [15][140/2475] eta: 0:02:58 time: 0.0763 data_time: 0.0449 memory: 817 2022/07/30 00:29:12 - mmengine - INFO - Epoch(val) [15][160/2475] eta: 0:03:53 time: 0.1008 data_time: 0.0677 memory: 817 2022/07/30 00:29:14 - mmengine - INFO - Epoch(val) [15][180/2475] eta: 0:02:32 time: 0.0666 data_time: 0.0361 memory: 817 2022/07/30 00:29:15 - mmengine - INFO - Epoch(val) [15][200/2475] eta: 0:03:24 time: 0.0898 data_time: 0.0593 memory: 817 2022/07/30 00:29:17 - mmengine - INFO - Epoch(val) [15][220/2475] eta: 0:02:27 time: 0.0655 data_time: 0.0353 memory: 817 2022/07/30 00:29:18 - mmengine - INFO - Epoch(val) [15][240/2475] eta: 0:02:59 time: 0.0805 data_time: 0.0423 memory: 817 2022/07/30 00:29:20 - mmengine - INFO - Epoch(val) [15][260/2475] eta: 0:02:35 time: 0.0704 data_time: 0.0391 memory: 817 2022/07/30 00:29:22 - mmengine - INFO - Epoch(val) [15][280/2475] eta: 0:03:19 time: 0.0909 data_time: 0.0594 memory: 817 2022/07/30 00:29:23 - mmengine - INFO - Epoch(val) [15][300/2475] eta: 0:02:21 time: 0.0649 data_time: 0.0350 memory: 817 2022/07/30 00:29:25 - mmengine - INFO - Epoch(val) [15][320/2475] eta: 0:03:32 time: 0.0988 data_time: 0.0692 memory: 817 2022/07/30 00:29:26 - mmengine - INFO - Epoch(val) [15][340/2475] eta: 0:02:37 time: 0.0737 data_time: 0.0431 memory: 817 2022/07/30 00:29:28 - mmengine - INFO - Epoch(val) [15][360/2475] eta: 0:03:03 time: 0.0869 data_time: 0.0563 memory: 817 2022/07/30 00:29:30 - mmengine - INFO - Epoch(val) [15][380/2475] eta: 0:02:42 time: 0.0778 data_time: 0.0475 memory: 817 2022/07/30 00:29:31 - mmengine - INFO - Epoch(val) [15][400/2475] eta: 0:02:56 time: 0.0853 data_time: 0.0541 memory: 817 2022/07/30 00:29:32 - mmengine - INFO - Epoch(val) [15][420/2475] eta: 0:01:48 time: 0.0530 data_time: 0.0218 memory: 817 2022/07/30 00:29:34 - mmengine - INFO - Epoch(val) [15][440/2475] eta: 0:03:18 time: 0.0978 data_time: 0.0664 memory: 817 2022/07/30 00:29:36 - mmengine - INFO - Epoch(val) [15][460/2475] eta: 0:02:27 time: 0.0732 data_time: 0.0416 memory: 817 2022/07/30 00:29:38 - mmengine - INFO - Epoch(val) [15][480/2475] eta: 0:02:50 time: 0.0853 data_time: 0.0535 memory: 817 2022/07/30 00:29:39 - mmengine - INFO - Epoch(val) [15][500/2475] eta: 0:02:11 time: 0.0667 data_time: 0.0366 memory: 817 2022/07/30 00:29:41 - mmengine - INFO - Epoch(val) [15][520/2475] eta: 0:03:22 time: 0.1038 data_time: 0.0725 memory: 817 2022/07/30 00:29:42 - mmengine - INFO - Epoch(val) [15][540/2475] eta: 0:02:11 time: 0.0681 data_time: 0.0360 memory: 817 2022/07/30 00:29:44 - mmengine - INFO - Epoch(val) [15][560/2475] eta: 0:03:02 time: 0.0954 data_time: 0.0641 memory: 817 2022/07/30 00:29:46 - mmengine - INFO - Epoch(val) [15][580/2475] eta: 0:02:15 time: 0.0717 data_time: 0.0398 memory: 817 2022/07/30 00:29:47 - mmengine - INFO - Epoch(val) [15][600/2475] eta: 0:02:36 time: 0.0833 data_time: 0.0512 memory: 817 2022/07/30 00:29:49 - mmengine - INFO - Epoch(val) [15][620/2475] eta: 0:02:53 time: 0.0937 data_time: 0.0509 memory: 817 2022/07/30 00:29:52 - mmengine - INFO - Epoch(val) [15][640/2475] eta: 0:03:44 time: 0.1226 data_time: 0.0918 memory: 817 2022/07/30 00:29:53 - mmengine - INFO - Epoch(val) [15][660/2475] eta: 0:02:07 time: 0.0704 data_time: 0.0387 memory: 817 2022/07/30 00:29:55 - mmengine - INFO - Epoch(val) [15][680/2475] eta: 0:02:50 time: 0.0949 data_time: 0.0632 memory: 817 2022/07/30 00:29:57 - mmengine - INFO - Epoch(val) [15][700/2475] eta: 0:02:24 time: 0.0812 data_time: 0.0492 memory: 817 2022/07/30 00:29:59 - mmengine - INFO - Epoch(val) [15][720/2475] eta: 0:02:48 time: 0.0961 data_time: 0.0645 memory: 817 2022/07/30 00:30:00 - mmengine - INFO - Epoch(val) [15][740/2475] eta: 0:02:19 time: 0.0804 data_time: 0.0485 memory: 817 2022/07/30 00:30:02 - mmengine - INFO - Epoch(val) [15][760/2475] eta: 0:02:06 time: 0.0735 data_time: 0.0420 memory: 817 2022/07/30 00:30:04 - mmengine - INFO - Epoch(val) [15][780/2475] eta: 0:03:11 time: 0.1132 data_time: 0.0829 memory: 817 2022/07/30 00:30:05 - mmengine - INFO - Epoch(val) [15][800/2475] eta: 0:02:09 time: 0.0772 data_time: 0.0454 memory: 817 2022/07/30 00:30:07 - mmengine - INFO - Epoch(val) [15][820/2475] eta: 0:02:31 time: 0.0914 data_time: 0.0601 memory: 817 2022/07/30 00:30:09 - mmengine - INFO - Epoch(val) [15][840/2475] eta: 0:01:56 time: 0.0713 data_time: 0.0375 memory: 817 2022/07/30 00:30:11 - mmengine - INFO - Epoch(val) [15][860/2475] eta: 0:02:25 time: 0.0900 data_time: 0.0583 memory: 817 2022/07/30 00:30:12 - mmengine - INFO - Epoch(val) [15][880/2475] eta: 0:01:50 time: 0.0695 data_time: 0.0377 memory: 817 2022/07/30 00:30:14 - mmengine - INFO - Epoch(val) [15][900/2475] eta: 0:02:21 time: 0.0896 data_time: 0.0568 memory: 817 2022/07/30 00:30:15 - mmengine - INFO - Epoch(val) [15][920/2475] eta: 0:01:56 time: 0.0749 data_time: 0.0426 memory: 817 2022/07/30 00:30:17 - mmengine - INFO - Epoch(val) [15][940/2475] eta: 0:02:06 time: 0.0826 data_time: 0.0501 memory: 817 2022/07/30 00:30:18 - mmengine - INFO - Epoch(val) [15][960/2475] eta: 0:01:50 time: 0.0732 data_time: 0.0347 memory: 817 2022/07/30 00:30:20 - mmengine - INFO - Epoch(val) [15][980/2475] eta: 0:02:34 time: 0.1036 data_time: 0.0712 memory: 817 2022/07/30 00:30:22 - mmengine - INFO - Epoch(val) [15][1000/2475] eta: 0:01:31 time: 0.0623 data_time: 0.0305 memory: 817 2022/07/30 00:30:23 - mmengine - INFO - Epoch(val) [15][1020/2475] eta: 0:02:04 time: 0.0854 data_time: 0.0543 memory: 817 2022/07/30 00:30:25 - mmengine - INFO - Epoch(val) [15][1040/2475] eta: 0:01:36 time: 0.0671 data_time: 0.0371 memory: 817 2022/07/30 00:30:26 - mmengine - INFO - Epoch(val) [15][1060/2475] eta: 0:01:59 time: 0.0842 data_time: 0.0516 memory: 817 2022/07/30 00:30:28 - mmengine - INFO - Epoch(val) [15][1080/2475] eta: 0:01:53 time: 0.0815 data_time: 0.0514 memory: 817 2022/07/30 00:30:29 - mmengine - INFO - Epoch(val) [15][1100/2475] eta: 0:01:40 time: 0.0729 data_time: 0.0305 memory: 817 2022/07/30 00:30:31 - mmengine - INFO - Epoch(val) [15][1120/2475] eta: 0:01:49 time: 0.0807 data_time: 0.0497 memory: 817 2022/07/30 00:30:33 - mmengine - INFO - Epoch(val) [15][1140/2475] eta: 0:02:16 time: 0.1020 data_time: 0.0699 memory: 817 2022/07/30 00:30:35 - mmengine - INFO - Epoch(val) [15][1160/2475] eta: 0:01:43 time: 0.0783 data_time: 0.0460 memory: 817 2022/07/30 00:30:36 - mmengine - INFO - Epoch(val) [15][1180/2475] eta: 0:01:36 time: 0.0744 data_time: 0.0431 memory: 817 2022/07/30 00:30:38 - mmengine - INFO - Epoch(val) [15][1200/2475] eta: 0:01:27 time: 0.0683 data_time: 0.0384 memory: 817 2022/07/30 00:30:39 - mmengine - INFO - Epoch(val) [15][1220/2475] eta: 0:01:54 time: 0.0914 data_time: 0.0591 memory: 817 2022/07/30 00:30:41 - mmengine - INFO - Epoch(val) [15][1240/2475] eta: 0:01:48 time: 0.0876 data_time: 0.0564 memory: 817 2022/07/30 00:30:43 - mmengine - INFO - Epoch(val) [15][1260/2475] eta: 0:01:33 time: 0.0769 data_time: 0.0460 memory: 817 2022/07/30 00:30:44 - mmengine - INFO - Epoch(val) [15][1280/2475] eta: 0:01:46 time: 0.0890 data_time: 0.0585 memory: 817 2022/07/30 00:30:46 - mmengine - INFO - Epoch(val) [15][1300/2475] eta: 0:01:27 time: 0.0748 data_time: 0.0416 memory: 817 2022/07/30 00:30:48 - mmengine - INFO - Epoch(val) [15][1320/2475] eta: 0:01:41 time: 0.0879 data_time: 0.0581 memory: 817 2022/07/30 00:30:55 - mmengine - INFO - Epoch(val) [15][1340/2475] eta: 0:06:55 time: 0.3658 data_time: 0.1584 memory: 817 2022/07/30 00:30:56 - mmengine - INFO - Epoch(val) [15][1360/2475] eta: 0:01:11 time: 0.0645 data_time: 0.0267 memory: 817 2022/07/30 00:30:58 - mmengine - INFO - Epoch(val) [15][1380/2475] eta: 0:01:26 time: 0.0788 data_time: 0.0474 memory: 817 2022/07/30 00:31:00 - mmengine - INFO - Epoch(val) [15][1400/2475] eta: 0:01:31 time: 0.0850 data_time: 0.0463 memory: 817 2022/07/30 00:31:01 - mmengine - INFO - Epoch(val) [15][1420/2475] eta: 0:01:30 time: 0.0854 data_time: 0.0542 memory: 817 2022/07/30 00:31:03 - mmengine - INFO - Epoch(val) [15][1440/2475] eta: 0:01:30 time: 0.0878 data_time: 0.0557 memory: 817 2022/07/30 00:31:04 - mmengine - INFO - Epoch(val) [15][1460/2475] eta: 0:01:08 time: 0.0670 data_time: 0.0362 memory: 817 2022/07/30 00:31:07 - mmengine - INFO - Epoch(val) [15][1480/2475] eta: 0:01:52 time: 0.1128 data_time: 0.0804 memory: 817 2022/07/30 00:31:08 - mmengine - INFO - Epoch(val) [15][1500/2475] eta: 0:01:08 time: 0.0699 data_time: 0.0380 memory: 817 2022/07/30 00:31:10 - mmengine - INFO - Epoch(val) [15][1520/2475] eta: 0:01:19 time: 0.0830 data_time: 0.0399 memory: 817 2022/07/30 00:31:11 - mmengine - INFO - Epoch(val) [15][1540/2475] eta: 0:01:13 time: 0.0782 data_time: 0.0456 memory: 817 2022/07/30 00:31:13 - mmengine - INFO - Epoch(val) [15][1560/2475] eta: 0:01:29 time: 0.0977 data_time: 0.0665 memory: 817 2022/07/30 00:31:15 - mmengine - INFO - Epoch(val) [15][1580/2475] eta: 0:01:00 time: 0.0677 data_time: 0.0372 memory: 817 2022/07/30 00:31:16 - mmengine - INFO - Epoch(val) [15][1600/2475] eta: 0:01:16 time: 0.0874 data_time: 0.0566 memory: 817 2022/07/30 00:31:18 - mmengine - INFO - Epoch(val) [15][1620/2475] eta: 0:01:02 time: 0.0729 data_time: 0.0419 memory: 817 2022/07/30 00:31:20 - mmengine - INFO - Epoch(val) [15][1640/2475] eta: 0:01:15 time: 0.0903 data_time: 0.0508 memory: 817 2022/07/30 00:31:21 - mmengine - INFO - Epoch(val) [15][1660/2475] eta: 0:01:00 time: 0.0738 data_time: 0.0409 memory: 817 2022/07/30 00:31:23 - mmengine - INFO - Epoch(val) [15][1680/2475] eta: 0:01:18 time: 0.0988 data_time: 0.0662 memory: 817 2022/07/30 00:31:25 - mmengine - INFO - Epoch(val) [15][1700/2475] eta: 0:00:57 time: 0.0738 data_time: 0.0440 memory: 817 2022/07/30 00:31:27 - mmengine - INFO - Epoch(val) [15][1720/2475] eta: 0:01:18 time: 0.1041 data_time: 0.0745 memory: 817 2022/07/30 00:31:28 - mmengine - INFO - Epoch(val) [15][1740/2475] eta: 0:00:43 time: 0.0594 data_time: 0.0287 memory: 817 2022/07/30 00:31:30 - mmengine - INFO - Epoch(val) [15][1760/2475] eta: 0:01:09 time: 0.0972 data_time: 0.0663 memory: 817 2022/07/30 00:31:31 - mmengine - INFO - Epoch(val) [15][1780/2475] eta: 0:00:52 time: 0.0757 data_time: 0.0449 memory: 817 2022/07/30 00:31:33 - mmengine - INFO - Epoch(val) [15][1800/2475] eta: 0:01:01 time: 0.0913 data_time: 0.0607 memory: 817 2022/07/30 00:31:35 - mmengine - INFO - Epoch(val) [15][1820/2475] eta: 0:00:50 time: 0.0774 data_time: 0.0467 memory: 817 2022/07/30 00:31:36 - mmengine - INFO - Epoch(val) [15][1840/2475] eta: 0:00:56 time: 0.0895 data_time: 0.0588 memory: 817 2022/07/30 00:31:38 - mmengine - INFO - Epoch(val) [15][1860/2475] eta: 0:00:41 time: 0.0672 data_time: 0.0370 memory: 817 2022/07/30 00:31:40 - mmengine - INFO - Epoch(val) [15][1880/2475] eta: 0:00:51 time: 0.0863 data_time: 0.0547 memory: 817 2022/07/30 00:31:41 - mmengine - INFO - Epoch(val) [15][1900/2475] eta: 0:00:41 time: 0.0718 data_time: 0.0417 memory: 817 2022/07/30 00:31:43 - mmengine - INFO - Epoch(val) [15][1920/2475] eta: 0:00:42 time: 0.0758 data_time: 0.0438 memory: 817 2022/07/30 00:31:44 - mmengine - INFO - Epoch(val) [15][1940/2475] eta: 0:00:39 time: 0.0741 data_time: 0.0434 memory: 817 2022/07/30 00:31:46 - mmengine - INFO - Epoch(val) [15][1960/2475] eta: 0:00:43 time: 0.0851 data_time: 0.0540 memory: 817 2022/07/30 00:31:47 - mmengine - INFO - Epoch(val) [15][1980/2475] eta: 0:00:37 time: 0.0758 data_time: 0.0460 memory: 817 2022/07/30 00:31:49 - mmengine - INFO - Epoch(val) [15][2000/2475] eta: 0:00:36 time: 0.0769 data_time: 0.0452 memory: 817 2022/07/30 00:31:50 - mmengine - INFO - Epoch(val) [15][2020/2475] eta: 0:00:37 time: 0.0829 data_time: 0.0519 memory: 817 2022/07/30 00:31:52 - mmengine - INFO - Epoch(val) [15][2040/2475] eta: 0:00:30 time: 0.0706 data_time: 0.0404 memory: 817 2022/07/30 00:31:54 - mmengine - INFO - Epoch(val) [15][2060/2475] eta: 0:00:38 time: 0.0920 data_time: 0.0597 memory: 817 2022/07/30 00:31:55 - mmengine - INFO - Epoch(val) [15][2080/2475] eta: 0:00:35 time: 0.0900 data_time: 0.0581 memory: 817 2022/07/30 00:31:57 - mmengine - INFO - Epoch(val) [15][2100/2475] eta: 0:00:29 time: 0.0786 data_time: 0.0474 memory: 817 2022/07/30 00:31:59 - mmengine - INFO - Epoch(val) [15][2120/2475] eta: 0:00:26 time: 0.0755 data_time: 0.0454 memory: 817 2022/07/30 00:32:00 - mmengine - INFO - Epoch(val) [15][2140/2475] eta: 0:00:26 time: 0.0788 data_time: 0.0476 memory: 817 2022/07/30 00:32:02 - mmengine - INFO - Epoch(val) [15][2160/2475] eta: 0:00:25 time: 0.0817 data_time: 0.0497 memory: 817 2022/07/30 00:32:04 - mmengine - INFO - Epoch(val) [15][2180/2475] eta: 0:00:26 time: 0.0890 data_time: 0.0583 memory: 817 2022/07/30 00:32:05 - mmengine - INFO - Epoch(val) [15][2200/2475] eta: 0:00:24 time: 0.0879 data_time: 0.0529 memory: 817 2022/07/30 00:32:07 - mmengine - INFO - Epoch(val) [15][2220/2475] eta: 0:00:18 time: 0.0734 data_time: 0.0425 memory: 817 2022/07/30 00:32:09 - mmengine - INFO - Epoch(val) [15][2240/2475] eta: 0:00:21 time: 0.0901 data_time: 0.0479 memory: 817 2022/07/30 00:32:10 - mmengine - INFO - Epoch(val) [15][2260/2475] eta: 0:00:15 time: 0.0732 data_time: 0.0414 memory: 817 2022/07/30 00:32:12 - mmengine - INFO - Epoch(val) [15][2280/2475] eta: 0:00:17 time: 0.0883 data_time: 0.0555 memory: 817 2022/07/30 00:32:13 - mmengine - INFO - Epoch(val) [15][2300/2475] eta: 0:00:13 time: 0.0773 data_time: 0.0465 memory: 817 2022/07/30 00:32:15 - mmengine - INFO - Epoch(val) [15][2320/2475] eta: 0:00:13 time: 0.0869 data_time: 0.0552 memory: 817 2022/07/30 00:32:17 - mmengine - INFO - Epoch(val) [15][2340/2475] eta: 0:00:09 time: 0.0702 data_time: 0.0387 memory: 817 2022/07/30 00:32:18 - mmengine - INFO - Epoch(val) [15][2360/2475] eta: 0:00:10 time: 0.0946 data_time: 0.0623 memory: 817 2022/07/30 00:32:20 - mmengine - INFO - Epoch(val) [15][2380/2475] eta: 0:00:06 time: 0.0669 data_time: 0.0348 memory: 817 2022/07/30 00:32:21 - mmengine - INFO - Epoch(val) [15][2400/2475] eta: 0:00:06 time: 0.0859 data_time: 0.0550 memory: 817 2022/07/30 00:32:23 - mmengine - INFO - Epoch(val) [15][2420/2475] eta: 0:00:03 time: 0.0675 data_time: 0.0363 memory: 817 2022/07/30 00:32:25 - mmengine - INFO - Epoch(val) [15][2440/2475] eta: 0:00:03 time: 0.0910 data_time: 0.0586 memory: 817 2022/07/30 00:32:26 - mmengine - INFO - Epoch(val) [15][2460/2475] eta: 0:00:00 time: 0.0645 data_time: 0.0305 memory: 817 2022/07/30 00:32:29 - mmengine - INFO - Epoch(val) [15][2475/2475] acc/top1: 0.7005 acc/top5: 0.8906 acc/mean1: 0.7005 2022/07/30 00:32:29 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_10.pth is removed 2022/07/30 00:32:32 - mmengine - INFO - The best checkpoint with 0.7005 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/07/30 00:32:59 - mmengine - INFO - Epoch(train) [16][20/2505] lr: 5.0000e-04 eta: 1 day, 6:00:24 time: 1.3219 data_time: 0.7400 memory: 32703 grad_norm: 20.8196 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3058 loss: 1.3058 2022/07/30 00:33:15 - mmengine - INFO - Epoch(train) [16][40/2505] lr: 5.0000e-04 eta: 1 day, 5:59:54 time: 0.8442 data_time: 0.2734 memory: 32703 grad_norm: 22.0609 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6378 loss: 1.6378 2022/07/30 00:33:37 - mmengine - INFO - Epoch(train) [16][60/2505] lr: 5.0000e-04 eta: 1 day, 5:59:37 time: 1.0567 data_time: 0.4510 memory: 32703 grad_norm: 21.7861 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5826 loss: 1.5826 2022/07/30 00:33:55 - mmengine - INFO - Epoch(train) [16][80/2505] lr: 5.0000e-04 eta: 1 day, 5:59:13 time: 0.9202 data_time: 0.3488 memory: 32703 grad_norm: 21.5412 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.6773 loss: 1.6773 2022/07/30 00:34:17 - mmengine - INFO - Epoch(train) [16][100/2505] lr: 5.0000e-04 eta: 1 day, 5:58:57 time: 1.0880 data_time: 0.4851 memory: 32703 grad_norm: 21.4928 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4621 loss: 1.4621 2022/07/30 00:34:35 - mmengine - INFO - Epoch(train) [16][120/2505] lr: 5.0000e-04 eta: 1 day, 5:58:32 time: 0.9122 data_time: 0.3113 memory: 32703 grad_norm: 22.6717 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5423 loss: 1.5423 2022/07/30 00:34:56 - mmengine - INFO - Epoch(train) [16][140/2505] lr: 5.0000e-04 eta: 1 day, 5:58:15 time: 1.0589 data_time: 0.4629 memory: 32703 grad_norm: 22.6574 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6464 loss: 1.6464 2022/07/30 00:35:15 - mmengine - INFO - Epoch(train) [16][160/2505] lr: 5.0000e-04 eta: 1 day, 5:57:52 time: 0.9450 data_time: 0.3465 memory: 32703 grad_norm: 22.4655 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6607 loss: 1.6607 2022/07/30 00:35:37 - mmengine - INFO - Epoch(train) [16][180/2505] lr: 5.0000e-04 eta: 1 day, 5:57:36 time: 1.0736 data_time: 0.4727 memory: 32703 grad_norm: 22.2366 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.2701 loss: 1.2701 2022/07/30 00:35:54 - mmengine - INFO - Epoch(train) [16][200/2505] lr: 5.0000e-04 eta: 1 day, 5:57:10 time: 0.8902 data_time: 0.2892 memory: 32703 grad_norm: 22.4541 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8832 loss: 1.8832 2022/07/30 00:36:17 - mmengine - INFO - Epoch(train) [16][220/2505] lr: 5.0000e-04 eta: 1 day, 5:56:56 time: 1.1152 data_time: 0.5075 memory: 32703 grad_norm: 22.0939 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7281 loss: 1.7281 2022/07/30 00:36:35 - mmengine - INFO - Epoch(train) [16][240/2505] lr: 5.0000e-04 eta: 1 day, 5:56:30 time: 0.9069 data_time: 0.3083 memory: 32703 grad_norm: 21.5993 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4626 loss: 1.4626 2022/07/30 00:36:56 - mmengine - INFO - Epoch(train) [16][260/2505] lr: 5.0000e-04 eta: 1 day, 5:56:14 time: 1.0672 data_time: 0.4786 memory: 32703 grad_norm: 21.6059 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5528 loss: 1.5528 2022/07/30 00:37:14 - mmengine - INFO - Epoch(train) [16][280/2505] lr: 5.0000e-04 eta: 1 day, 5:55:48 time: 0.9061 data_time: 0.3026 memory: 32703 grad_norm: 22.3802 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5208 loss: 1.5208 2022/07/30 00:37:34 - mmengine - INFO - Epoch(train) [16][300/2505] lr: 5.0000e-04 eta: 1 day, 5:55:28 time: 1.0062 data_time: 0.4173 memory: 32703 grad_norm: 21.1222 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3253 loss: 1.3253 2022/07/30 00:37:51 - mmengine - INFO - Epoch(train) [16][320/2505] lr: 5.0000e-04 eta: 1 day, 5:54:58 time: 0.8270 data_time: 0.2373 memory: 32703 grad_norm: 21.1804 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5877 loss: 1.5877 2022/07/30 00:38:12 - mmengine - INFO - Epoch(train) [16][340/2505] lr: 5.0000e-04 eta: 1 day, 5:54:42 time: 1.0668 data_time: 0.4902 memory: 32703 grad_norm: 22.3984 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4563 loss: 1.4563 2022/07/30 00:38:31 - mmengine - INFO - Epoch(train) [16][360/2505] lr: 5.0000e-04 eta: 1 day, 5:54:18 time: 0.9263 data_time: 0.3274 memory: 32703 grad_norm: 22.7588 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8335 loss: 1.8335 2022/07/30 00:38:52 - mmengine - INFO - Epoch(train) [16][380/2505] lr: 5.0000e-04 eta: 1 day, 5:54:02 time: 1.0753 data_time: 0.4801 memory: 32703 grad_norm: 21.5996 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7795 loss: 1.7795 2022/07/30 00:39:11 - mmengine - INFO - Epoch(train) [16][400/2505] lr: 5.0000e-04 eta: 1 day, 5:53:37 time: 0.9141 data_time: 0.3061 memory: 32703 grad_norm: 21.0598 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4274 loss: 1.4274 2022/07/30 00:39:32 - mmengine - INFO - Epoch(train) [16][420/2505] lr: 5.0000e-04 eta: 1 day, 5:53:21 time: 1.0895 data_time: 0.4976 memory: 32703 grad_norm: 21.4253 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4371 loss: 1.4371 2022/07/30 00:39:38 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 00:39:51 - mmengine - INFO - Epoch(train) [16][440/2505] lr: 5.0000e-04 eta: 1 day, 5:52:56 time: 0.9124 data_time: 0.2901 memory: 32703 grad_norm: 22.3906 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4240 loss: 1.4240 2022/07/30 00:40:13 - mmengine - INFO - Epoch(train) [16][460/2505] lr: 5.0000e-04 eta: 1 day, 5:52:42 time: 1.1080 data_time: 0.5009 memory: 32703 grad_norm: 22.2464 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2894 loss: 1.2894 2022/07/30 00:40:31 - mmengine - INFO - Epoch(train) [16][480/2505] lr: 5.0000e-04 eta: 1 day, 5:52:18 time: 0.9234 data_time: 0.3067 memory: 32703 grad_norm: 21.7220 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4582 loss: 1.4582 2022/07/30 00:40:52 - mmengine - INFO - Epoch(train) [16][500/2505] lr: 5.0000e-04 eta: 1 day, 5:52:00 time: 1.0524 data_time: 0.4384 memory: 32703 grad_norm: 20.9172 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4987 loss: 1.4987 2022/07/30 00:41:10 - mmengine - INFO - Epoch(train) [16][520/2505] lr: 5.0000e-04 eta: 1 day, 5:51:34 time: 0.8849 data_time: 0.2717 memory: 32703 grad_norm: 22.0779 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6170 loss: 1.6170 2022/07/30 00:41:32 - mmengine - INFO - Epoch(train) [16][540/2505] lr: 5.0000e-04 eta: 1 day, 5:51:19 time: 1.0969 data_time: 0.4844 memory: 32703 grad_norm: 21.3900 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6038 loss: 1.6038 2022/07/30 00:41:50 - mmengine - INFO - Epoch(train) [16][560/2505] lr: 5.0000e-04 eta: 1 day, 5:50:53 time: 0.9033 data_time: 0.3010 memory: 32703 grad_norm: 21.5167 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4196 loss: 1.4196 2022/07/30 00:42:11 - mmengine - INFO - Epoch(train) [16][580/2505] lr: 5.0000e-04 eta: 1 day, 5:50:36 time: 1.0455 data_time: 0.4601 memory: 32703 grad_norm: 21.1845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8567 loss: 1.8567 2022/07/30 00:42:30 - mmengine - INFO - Epoch(train) [16][600/2505] lr: 5.0000e-04 eta: 1 day, 5:50:11 time: 0.9304 data_time: 0.3390 memory: 32703 grad_norm: 21.7872 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6911 loss: 1.6911 2022/07/30 00:42:50 - mmengine - INFO - Epoch(train) [16][620/2505] lr: 5.0000e-04 eta: 1 day, 5:49:53 time: 1.0399 data_time: 0.4437 memory: 32703 grad_norm: 21.6216 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4839 loss: 1.4839 2022/07/30 00:43:08 - mmengine - INFO - Epoch(train) [16][640/2505] lr: 5.0000e-04 eta: 1 day, 5:49:27 time: 0.8828 data_time: 0.3026 memory: 32703 grad_norm: 22.0294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3709 loss: 1.3709 2022/07/30 00:43:30 - mmengine - INFO - Epoch(train) [16][660/2505] lr: 5.0000e-04 eta: 1 day, 5:49:12 time: 1.0910 data_time: 0.4748 memory: 32703 grad_norm: 21.6761 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3282 loss: 1.3282 2022/07/30 00:43:47 - mmengine - INFO - Epoch(train) [16][680/2505] lr: 5.0000e-04 eta: 1 day, 5:48:44 time: 0.8714 data_time: 0.2995 memory: 32703 grad_norm: 21.4960 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5258 loss: 1.5258 2022/07/30 00:44:10 - mmengine - INFO - Epoch(train) [16][700/2505] lr: 5.0000e-04 eta: 1 day, 5:48:31 time: 1.1188 data_time: 0.4853 memory: 32703 grad_norm: 20.5293 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4183 loss: 1.4183 2022/07/30 00:44:28 - mmengine - INFO - Epoch(train) [16][720/2505] lr: 5.0000e-04 eta: 1 day, 5:48:05 time: 0.9104 data_time: 0.3163 memory: 32703 grad_norm: 22.8592 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8108 loss: 1.8108 2022/07/30 00:44:49 - mmengine - INFO - Epoch(train) [16][740/2505] lr: 5.0000e-04 eta: 1 day, 5:47:49 time: 1.0593 data_time: 0.4431 memory: 32703 grad_norm: 21.4147 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3129 loss: 1.3129 2022/07/30 00:45:09 - mmengine - INFO - Epoch(train) [16][760/2505] lr: 5.0000e-04 eta: 1 day, 5:47:27 time: 0.9730 data_time: 0.3871 memory: 32703 grad_norm: 21.7848 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9030 loss: 1.9030 2022/07/30 00:45:30 - mmengine - INFO - Epoch(train) [16][780/2505] lr: 5.0000e-04 eta: 1 day, 5:47:10 time: 1.0577 data_time: 0.4500 memory: 32703 grad_norm: 22.3888 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7089 loss: 1.7089 2022/07/30 00:45:48 - mmengine - INFO - Epoch(train) [16][800/2505] lr: 5.0000e-04 eta: 1 day, 5:46:44 time: 0.9049 data_time: 0.3191 memory: 32703 grad_norm: 21.8828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5487 loss: 1.5487 2022/07/30 00:46:08 - mmengine - INFO - Epoch(train) [16][820/2505] lr: 5.0000e-04 eta: 1 day, 5:46:25 time: 1.0117 data_time: 0.4058 memory: 32703 grad_norm: 21.9061 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5208 loss: 1.5208 2022/07/30 00:46:26 - mmengine - INFO - Epoch(train) [16][840/2505] lr: 5.0000e-04 eta: 1 day, 5:46:00 time: 0.9106 data_time: 0.3268 memory: 32703 grad_norm: 21.4010 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6513 loss: 1.6513 2022/07/30 00:46:48 - mmengine - INFO - Epoch(train) [16][860/2505] lr: 5.0000e-04 eta: 1 day, 5:45:43 time: 1.0704 data_time: 0.4745 memory: 32703 grad_norm: 21.2245 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6122 loss: 1.6122 2022/07/30 00:47:06 - mmengine - INFO - Epoch(train) [16][880/2505] lr: 5.0000e-04 eta: 1 day, 5:45:17 time: 0.8935 data_time: 0.2988 memory: 32703 grad_norm: 21.6696 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7892 loss: 1.7892 2022/07/30 00:47:26 - mmengine - INFO - Epoch(train) [16][900/2505] lr: 5.0000e-04 eta: 1 day, 5:44:59 time: 1.0437 data_time: 0.3874 memory: 32703 grad_norm: 21.4921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3827 loss: 1.3827 2022/07/30 00:47:46 - mmengine - INFO - Epoch(train) [16][920/2505] lr: 5.0000e-04 eta: 1 day, 5:44:38 time: 0.9727 data_time: 0.2427 memory: 32703 grad_norm: 21.5204 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5508 loss: 1.5508 2022/07/30 00:48:05 - mmengine - INFO - Epoch(train) [16][940/2505] lr: 5.0000e-04 eta: 1 day, 5:44:16 time: 0.9677 data_time: 0.1669 memory: 32703 grad_norm: 20.6779 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6335 loss: 1.6335 2022/07/30 00:48:26 - mmengine - INFO - Epoch(train) [16][960/2505] lr: 5.0000e-04 eta: 1 day, 5:43:57 time: 1.0189 data_time: 0.1458 memory: 32703 grad_norm: 21.6359 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9543 loss: 1.9543 2022/07/30 00:48:44 - mmengine - INFO - Epoch(train) [16][980/2505] lr: 5.0000e-04 eta: 1 day, 5:43:33 time: 0.9404 data_time: 0.0320 memory: 32703 grad_norm: 22.2121 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5550 loss: 1.5550 2022/07/30 00:49:06 - mmengine - INFO - Epoch(train) [16][1000/2505] lr: 5.0000e-04 eta: 1 day, 5:43:16 time: 1.0543 data_time: 0.0276 memory: 32703 grad_norm: 22.7154 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.5520 loss: 1.5520 2022/07/30 00:49:24 - mmengine - INFO - Epoch(train) [16][1020/2505] lr: 5.0000e-04 eta: 1 day, 5:42:50 time: 0.9011 data_time: 0.0270 memory: 32703 grad_norm: 21.1441 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5686 loss: 1.5686 2022/07/30 00:49:44 - mmengine - INFO - Epoch(train) [16][1040/2505] lr: 5.0000e-04 eta: 1 day, 5:42:32 time: 1.0400 data_time: 0.1173 memory: 32703 grad_norm: 21.8437 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5364 loss: 1.5364 2022/07/30 00:50:04 - mmengine - INFO - Epoch(train) [16][1060/2505] lr: 5.0000e-04 eta: 1 day, 5:42:10 time: 0.9695 data_time: 0.0527 memory: 32703 grad_norm: 20.4839 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.4855 loss: 1.4855 2022/07/30 00:50:24 - mmengine - INFO - Epoch(train) [16][1080/2505] lr: 5.0000e-04 eta: 1 day, 5:41:52 time: 1.0274 data_time: 0.0377 memory: 32703 grad_norm: 21.0142 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4886 loss: 1.4886 2022/07/30 00:50:43 - mmengine - INFO - Epoch(train) [16][1100/2505] lr: 5.0000e-04 eta: 1 day, 5:41:28 time: 0.9347 data_time: 0.0523 memory: 32703 grad_norm: 22.6439 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4648 loss: 1.4648 2022/07/30 00:51:04 - mmengine - INFO - Epoch(train) [16][1120/2505] lr: 5.0000e-04 eta: 1 day, 5:41:10 time: 1.0353 data_time: 0.1214 memory: 32703 grad_norm: 20.5238 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4427 loss: 1.4427 2022/07/30 00:51:23 - mmengine - INFO - Epoch(train) [16][1140/2505] lr: 5.0000e-04 eta: 1 day, 5:40:47 time: 0.9629 data_time: 0.1478 memory: 32703 grad_norm: 21.7246 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4957 loss: 1.4957 2022/07/30 00:51:43 - mmengine - INFO - Epoch(train) [16][1160/2505] lr: 5.0000e-04 eta: 1 day, 5:40:27 time: 1.0031 data_time: 0.1367 memory: 32703 grad_norm: 21.1756 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5871 loss: 1.5871 2022/07/30 00:52:02 - mmengine - INFO - Epoch(train) [16][1180/2505] lr: 5.0000e-04 eta: 1 day, 5:40:04 time: 0.9442 data_time: 0.1902 memory: 32703 grad_norm: 20.7849 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6836 loss: 1.6836 2022/07/30 00:52:22 - mmengine - INFO - Epoch(train) [16][1200/2505] lr: 5.0000e-04 eta: 1 day, 5:39:43 time: 0.9840 data_time: 0.2272 memory: 32703 grad_norm: 21.0975 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7027 loss: 1.7027 2022/07/30 00:52:41 - mmengine - INFO - Epoch(train) [16][1220/2505] lr: 5.0000e-04 eta: 1 day, 5:39:21 time: 0.9748 data_time: 0.2940 memory: 32703 grad_norm: 20.6866 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6631 loss: 1.6631 2022/07/30 00:53:02 - mmengine - INFO - Epoch(train) [16][1240/2505] lr: 5.0000e-04 eta: 1 day, 5:39:03 time: 1.0359 data_time: 0.0697 memory: 32703 grad_norm: 21.3485 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6951 loss: 1.6951 2022/07/30 00:53:20 - mmengine - INFO - Epoch(train) [16][1260/2505] lr: 5.0000e-04 eta: 1 day, 5:38:37 time: 0.8911 data_time: 0.0331 memory: 32703 grad_norm: 20.8496 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6288 loss: 1.6288 2022/07/30 00:53:41 - mmengine - INFO - Epoch(train) [16][1280/2505] lr: 5.0000e-04 eta: 1 day, 5:38:21 time: 1.0735 data_time: 0.0285 memory: 32703 grad_norm: 21.7562 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5212 loss: 1.5212 2022/07/30 00:53:59 - mmengine - INFO - Epoch(train) [16][1300/2505] lr: 5.0000e-04 eta: 1 day, 5:37:56 time: 0.9075 data_time: 0.1420 memory: 32703 grad_norm: 20.4763 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4315 loss: 1.4315 2022/07/30 00:54:18 - mmengine - INFO - Epoch(train) [16][1320/2505] lr: 5.0000e-04 eta: 1 day, 5:37:33 time: 0.9516 data_time: 0.1435 memory: 32703 grad_norm: 21.4925 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7161 loss: 1.7161 2022/07/30 00:54:38 - mmengine - INFO - Epoch(train) [16][1340/2505] lr: 5.0000e-04 eta: 1 day, 5:37:12 time: 0.9844 data_time: 0.2457 memory: 32703 grad_norm: 22.1600 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5499 loss: 1.5499 2022/07/30 00:54:58 - mmengine - INFO - Epoch(train) [16][1360/2505] lr: 5.0000e-04 eta: 1 day, 5:36:52 time: 1.0100 data_time: 0.1461 memory: 32703 grad_norm: 21.2897 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5622 loss: 1.5622 2022/07/30 00:55:18 - mmengine - INFO - Epoch(train) [16][1380/2505] lr: 5.0000e-04 eta: 1 day, 5:36:32 time: 1.0002 data_time: 0.2731 memory: 32703 grad_norm: 21.2460 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4417 loss: 1.4417 2022/07/30 00:55:38 - mmengine - INFO - Epoch(train) [16][1400/2505] lr: 5.0000e-04 eta: 1 day, 5:36:12 time: 0.9980 data_time: 0.1821 memory: 32703 grad_norm: 21.3232 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5391 loss: 1.5391 2022/07/30 00:55:58 - mmengine - INFO - Epoch(train) [16][1420/2505] lr: 5.0000e-04 eta: 1 day, 5:35:50 time: 0.9799 data_time: 0.2551 memory: 32703 grad_norm: 21.0650 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6078 loss: 1.6078 2022/07/30 00:56:03 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 00:56:19 - mmengine - INFO - Epoch(train) [16][1440/2505] lr: 5.0000e-04 eta: 1 day, 5:35:32 time: 1.0364 data_time: 0.0592 memory: 32703 grad_norm: 20.7446 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9972 loss: 1.9972 2022/07/30 00:56:37 - mmengine - INFO - Epoch(train) [16][1460/2505] lr: 5.0000e-04 eta: 1 day, 5:35:07 time: 0.9036 data_time: 0.0302 memory: 32703 grad_norm: 21.9006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4618 loss: 1.4618 2022/07/30 00:56:58 - mmengine - INFO - Epoch(train) [16][1480/2505] lr: 5.0000e-04 eta: 1 day, 5:34:51 time: 1.0734 data_time: 0.0378 memory: 32703 grad_norm: 21.7927 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6414 loss: 1.6414 2022/07/30 00:57:16 - mmengine - INFO - Epoch(train) [16][1500/2505] lr: 5.0000e-04 eta: 1 day, 5:34:26 time: 0.9195 data_time: 0.0308 memory: 32703 grad_norm: 21.1103 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8686 loss: 1.8686 2022/07/30 00:57:37 - mmengine - INFO - Epoch(train) [16][1520/2505] lr: 5.0000e-04 eta: 1 day, 5:34:08 time: 1.0426 data_time: 0.0300 memory: 32703 grad_norm: 21.6239 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6780 loss: 1.6780 2022/07/30 00:57:56 - mmengine - INFO - Epoch(train) [16][1540/2505] lr: 5.0000e-04 eta: 1 day, 5:33:44 time: 0.9249 data_time: 0.0304 memory: 32703 grad_norm: 22.3385 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4381 loss: 1.4381 2022/07/30 00:58:16 - mmengine - INFO - Epoch(train) [16][1560/2505] lr: 5.0000e-04 eta: 1 day, 5:33:24 time: 0.9987 data_time: 0.0298 memory: 32703 grad_norm: 21.7606 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4810 loss: 1.4810 2022/07/30 00:58:35 - mmengine - INFO - Epoch(train) [16][1580/2505] lr: 5.0000e-04 eta: 1 day, 5:33:01 time: 0.9546 data_time: 0.0310 memory: 32703 grad_norm: 21.6605 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6697 loss: 1.6697 2022/07/30 00:58:54 - mmengine - INFO - Epoch(train) [16][1600/2505] lr: 5.0000e-04 eta: 1 day, 5:32:39 time: 0.9616 data_time: 0.0272 memory: 32703 grad_norm: 20.8492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6342 loss: 1.6342 2022/07/30 00:59:14 - mmengine - INFO - Epoch(train) [16][1620/2505] lr: 5.0000e-04 eta: 1 day, 5:32:19 time: 1.0058 data_time: 0.0280 memory: 32703 grad_norm: 22.1979 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.9093 loss: 1.9093 2022/07/30 00:59:34 - mmengine - INFO - Epoch(train) [16][1640/2505] lr: 5.0000e-04 eta: 1 day, 5:31:59 time: 1.0080 data_time: 0.0506 memory: 32703 grad_norm: 21.1489 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6043 loss: 1.6043 2022/07/30 00:59:54 - mmengine - INFO - Epoch(train) [16][1660/2505] lr: 5.0000e-04 eta: 1 day, 5:31:37 time: 0.9674 data_time: 0.0287 memory: 32703 grad_norm: 22.3140 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5104 loss: 1.5104 2022/07/30 01:00:16 - mmengine - INFO - Epoch(train) [16][1680/2505] lr: 5.0000e-04 eta: 1 day, 5:31:23 time: 1.1068 data_time: 0.0296 memory: 32703 grad_norm: 22.5217 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6342 loss: 1.6342 2022/07/30 01:00:34 - mmengine - INFO - Epoch(train) [16][1700/2505] lr: 5.0000e-04 eta: 1 day, 5:30:59 time: 0.9265 data_time: 0.0307 memory: 32703 grad_norm: 21.2044 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.3384 loss: 1.3384 2022/07/30 01:00:54 - mmengine - INFO - Epoch(train) [16][1720/2505] lr: 5.0000e-04 eta: 1 day, 5:30:38 time: 0.9831 data_time: 0.0279 memory: 32703 grad_norm: 21.7720 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3086 loss: 1.3086 2022/07/30 01:01:13 - mmengine - INFO - Epoch(train) [16][1740/2505] lr: 5.0000e-04 eta: 1 day, 5:30:13 time: 0.9246 data_time: 0.0271 memory: 32703 grad_norm: 21.3040 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5052 loss: 1.5052 2022/07/30 01:01:34 - mmengine - INFO - Epoch(train) [16][1760/2505] lr: 5.0000e-04 eta: 1 day, 5:29:58 time: 1.0891 data_time: 0.0307 memory: 32703 grad_norm: 22.7493 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6459 loss: 1.6459 2022/07/30 01:01:53 - mmengine - INFO - Epoch(train) [16][1780/2505] lr: 5.0000e-04 eta: 1 day, 5:29:33 time: 0.9159 data_time: 0.0275 memory: 32703 grad_norm: 20.7133 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5288 loss: 1.5288 2022/07/30 01:02:13 - mmengine - INFO - Epoch(train) [16][1800/2505] lr: 5.0000e-04 eta: 1 day, 5:29:15 time: 1.0308 data_time: 0.0297 memory: 32703 grad_norm: 22.0986 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6051 loss: 1.6051 2022/07/30 01:02:33 - mmengine - INFO - Epoch(train) [16][1820/2505] lr: 5.0000e-04 eta: 1 day, 5:28:54 time: 0.9967 data_time: 0.0298 memory: 32703 grad_norm: 21.8288 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5947 loss: 1.5947 2022/07/30 01:02:54 - mmengine - INFO - Epoch(train) [16][1840/2505] lr: 5.0000e-04 eta: 1 day, 5:28:36 time: 1.0260 data_time: 0.0321 memory: 32703 grad_norm: 20.6491 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4832 loss: 1.4832 2022/07/30 01:03:10 - mmengine - INFO - Epoch(train) [16][1860/2505] lr: 5.0000e-04 eta: 1 day, 5:28:07 time: 0.8342 data_time: 0.0278 memory: 32703 grad_norm: 20.1870 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4974 loss: 1.4974 2022/07/30 01:03:34 - mmengine - INFO - Epoch(train) [16][1880/2505] lr: 5.0000e-04 eta: 1 day, 5:27:56 time: 1.1756 data_time: 0.0339 memory: 32703 grad_norm: 21.3313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5524 loss: 1.5524 2022/07/30 01:03:50 - mmengine - INFO - Epoch(train) [16][1900/2505] lr: 5.0000e-04 eta: 1 day, 5:27:26 time: 0.8152 data_time: 0.0274 memory: 32703 grad_norm: 20.2435 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4046 loss: 1.4046 2022/07/30 01:04:11 - mmengine - INFO - Epoch(train) [16][1920/2505] lr: 5.0000e-04 eta: 1 day, 5:27:07 time: 1.0209 data_time: 0.0265 memory: 32703 grad_norm: 20.9237 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4653 loss: 1.4653 2022/07/30 01:04:29 - mmengine - INFO - Epoch(train) [16][1940/2505] lr: 5.0000e-04 eta: 1 day, 5:26:41 time: 0.8958 data_time: 0.0335 memory: 32703 grad_norm: 21.2152 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5724 loss: 1.5724 2022/07/30 01:04:50 - mmengine - INFO - Epoch(train) [16][1960/2505] lr: 5.0000e-04 eta: 1 day, 5:26:24 time: 1.0494 data_time: 0.0268 memory: 32703 grad_norm: 21.1554 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4618 loss: 1.4618 2022/07/30 01:05:08 - mmengine - INFO - Epoch(train) [16][1980/2505] lr: 5.0000e-04 eta: 1 day, 5:26:00 time: 0.9288 data_time: 0.0319 memory: 32703 grad_norm: 21.3411 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5234 loss: 1.5234 2022/07/30 01:05:30 - mmengine - INFO - Epoch(train) [16][2000/2505] lr: 5.0000e-04 eta: 1 day, 5:25:43 time: 1.0613 data_time: 0.0326 memory: 32703 grad_norm: 21.4578 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7079 loss: 1.7079 2022/07/30 01:05:48 - mmengine - INFO - Epoch(train) [16][2020/2505] lr: 5.0000e-04 eta: 1 day, 5:25:19 time: 0.9258 data_time: 0.0310 memory: 32703 grad_norm: 20.1830 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5770 loss: 1.5770 2022/07/30 01:06:10 - mmengine - INFO - Epoch(train) [16][2040/2505] lr: 5.0000e-04 eta: 1 day, 5:25:04 time: 1.1076 data_time: 0.0308 memory: 32703 grad_norm: 21.2189 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7292 loss: 1.7292 2022/07/30 01:06:28 - mmengine - INFO - Epoch(train) [16][2060/2505] lr: 5.0000e-04 eta: 1 day, 5:24:38 time: 0.8839 data_time: 0.0337 memory: 32703 grad_norm: 21.4865 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6496 loss: 1.6496 2022/07/30 01:06:50 - mmengine - INFO - Epoch(train) [16][2080/2505] lr: 5.0000e-04 eta: 1 day, 5:24:23 time: 1.1023 data_time: 0.0340 memory: 32703 grad_norm: 21.1915 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6926 loss: 1.6926 2022/07/30 01:07:08 - mmengine - INFO - Epoch(train) [16][2100/2505] lr: 5.0000e-04 eta: 1 day, 5:23:58 time: 0.9080 data_time: 0.0325 memory: 32703 grad_norm: 22.0603 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8882 loss: 1.8882 2022/07/30 01:07:27 - mmengine - INFO - Epoch(train) [16][2120/2505] lr: 5.0000e-04 eta: 1 day, 5:23:36 time: 0.9696 data_time: 0.0399 memory: 32703 grad_norm: 21.4171 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4906 loss: 1.4906 2022/07/30 01:07:45 - mmengine - INFO - Epoch(train) [16][2140/2505] lr: 5.0000e-04 eta: 1 day, 5:23:10 time: 0.8887 data_time: 0.0767 memory: 32703 grad_norm: 21.8925 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7294 loss: 1.7294 2022/07/30 01:08:08 - mmengine - INFO - Epoch(train) [16][2160/2505] lr: 5.0000e-04 eta: 1 day, 5:22:56 time: 1.1212 data_time: 0.1932 memory: 32703 grad_norm: 21.1504 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4817 loss: 1.4817 2022/07/30 01:08:25 - mmengine - INFO - Epoch(train) [16][2180/2505] lr: 5.0000e-04 eta: 1 day, 5:22:30 time: 0.8850 data_time: 0.1301 memory: 32703 grad_norm: 21.1222 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6689 loss: 1.6689 2022/07/30 01:08:47 - mmengine - INFO - Epoch(train) [16][2200/2505] lr: 5.0000e-04 eta: 1 day, 5:22:13 time: 1.0587 data_time: 0.1409 memory: 32703 grad_norm: 21.9894 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8318 loss: 1.8318 2022/07/30 01:09:05 - mmengine - INFO - Epoch(train) [16][2220/2505] lr: 5.0000e-04 eta: 1 day, 5:21:48 time: 0.9078 data_time: 0.0589 memory: 32703 grad_norm: 21.0775 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4276 loss: 1.4276 2022/07/30 01:09:26 - mmengine - INFO - Epoch(train) [16][2240/2505] lr: 5.0000e-04 eta: 1 day, 5:21:31 time: 1.0575 data_time: 0.0414 memory: 32703 grad_norm: 21.7377 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7310 loss: 1.7310 2022/07/30 01:09:44 - mmengine - INFO - Epoch(train) [16][2260/2505] lr: 5.0000e-04 eta: 1 day, 5:21:07 time: 0.9216 data_time: 0.0263 memory: 32703 grad_norm: 21.5900 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5422 loss: 1.5422 2022/07/30 01:10:05 - mmengine - INFO - Epoch(train) [16][2280/2505] lr: 5.0000e-04 eta: 1 day, 5:20:50 time: 1.0616 data_time: 0.0269 memory: 32703 grad_norm: 21.7405 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5041 loss: 1.5041 2022/07/30 01:10:24 - mmengine - INFO - Epoch(train) [16][2300/2505] lr: 5.0000e-04 eta: 1 day, 5:20:25 time: 0.9037 data_time: 0.0478 memory: 32703 grad_norm: 20.9359 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7184 loss: 1.7184 2022/07/30 01:10:45 - mmengine - INFO - Epoch(train) [16][2320/2505] lr: 5.0000e-04 eta: 1 day, 5:20:07 time: 1.0525 data_time: 0.0282 memory: 32703 grad_norm: 21.1104 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7292 loss: 1.7292 2022/07/30 01:11:04 - mmengine - INFO - Epoch(train) [16][2340/2505] lr: 5.0000e-04 eta: 1 day, 5:19:46 time: 0.9700 data_time: 0.0283 memory: 32703 grad_norm: 21.3628 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5414 loss: 1.5414 2022/07/30 01:11:26 - mmengine - INFO - Epoch(train) [16][2360/2505] lr: 5.0000e-04 eta: 1 day, 5:19:30 time: 1.0950 data_time: 0.0339 memory: 32703 grad_norm: 21.6586 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6646 loss: 1.6646 2022/07/30 01:11:45 - mmengine - INFO - Epoch(train) [16][2380/2505] lr: 5.0000e-04 eta: 1 day, 5:19:09 time: 0.9684 data_time: 0.0280 memory: 32703 grad_norm: 20.8963 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5711 loss: 1.5711 2022/07/30 01:12:05 - mmengine - INFO - Epoch(train) [16][2400/2505] lr: 5.0000e-04 eta: 1 day, 5:18:49 time: 1.0072 data_time: 0.0324 memory: 32703 grad_norm: 20.5130 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5762 loss: 1.5762 2022/07/30 01:12:25 - mmengine - INFO - Epoch(train) [16][2420/2505] lr: 5.0000e-04 eta: 1 day, 5:18:28 time: 0.9877 data_time: 0.0288 memory: 32703 grad_norm: 21.4798 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5673 loss: 1.5673 2022/07/30 01:12:30 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 01:12:46 - mmengine - INFO - Epoch(train) [16][2440/2505] lr: 5.0000e-04 eta: 1 day, 5:18:11 time: 1.0579 data_time: 0.0280 memory: 32703 grad_norm: 21.4001 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7376 loss: 1.7376 2022/07/30 01:13:04 - mmengine - INFO - Epoch(train) [16][2460/2505] lr: 5.0000e-04 eta: 1 day, 5:17:44 time: 0.8767 data_time: 0.0311 memory: 32703 grad_norm: 21.2572 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4907 loss: 1.4907 2022/07/30 01:13:25 - mmengine - INFO - Epoch(train) [16][2480/2505] lr: 5.0000e-04 eta: 1 day, 5:17:27 time: 1.0496 data_time: 0.0256 memory: 32703 grad_norm: 21.9187 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6303 loss: 1.6303 2022/07/30 01:13:40 - mmengine - INFO - Epoch(train) [16][2500/2505] lr: 5.0000e-04 eta: 1 day, 5:16:54 time: 0.7618 data_time: 0.0251 memory: 32703 grad_norm: 21.5658 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7294 loss: 1.7294 2022/07/30 01:13:43 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 01:13:43 - mmengine - INFO - Epoch(train) [16][2505/2505] lr: 5.0000e-04 eta: 1 day, 5:16:54 time: 0.7490 data_time: 0.0202 memory: 32703 grad_norm: 21.3857 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.6013 loss: 1.6013 2022/07/30 01:13:43 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/07/30 01:14:12 - mmengine - INFO - Epoch(train) [17][20/2505] lr: 5.0000e-04 eta: 1 day, 5:16:31 time: 1.2917 data_time: 0.7108 memory: 32703 grad_norm: 20.7239 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4348 loss: 1.4348 2022/07/30 01:14:30 - mmengine - INFO - Epoch(train) [17][40/2505] lr: 5.0000e-04 eta: 1 day, 5:16:06 time: 0.9108 data_time: 0.3225 memory: 32703 grad_norm: 20.4965 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6102 loss: 1.6102 2022/07/30 01:14:51 - mmengine - INFO - Epoch(train) [17][60/2505] lr: 5.0000e-04 eta: 1 day, 5:15:49 time: 1.0579 data_time: 0.4466 memory: 32703 grad_norm: 20.6978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4585 loss: 1.4585 2022/07/30 01:15:10 - mmengine - INFO - Epoch(train) [17][80/2505] lr: 5.0000e-04 eta: 1 day, 5:15:27 time: 0.9556 data_time: 0.3866 memory: 32703 grad_norm: 21.8469 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4129 loss: 1.4129 2022/07/30 01:15:32 - mmengine - INFO - Epoch(train) [17][100/2505] lr: 5.0000e-04 eta: 1 day, 5:15:10 time: 1.0626 data_time: 0.4687 memory: 32703 grad_norm: 21.2662 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7354 loss: 1.7354 2022/07/30 01:15:49 - mmengine - INFO - Epoch(train) [17][120/2505] lr: 5.0000e-04 eta: 1 day, 5:14:44 time: 0.8831 data_time: 0.2869 memory: 32703 grad_norm: 20.4669 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5257 loss: 1.5257 2022/07/30 01:16:11 - mmengine - INFO - Epoch(train) [17][140/2505] lr: 5.0000e-04 eta: 1 day, 5:14:27 time: 1.0614 data_time: 0.4488 memory: 32703 grad_norm: 20.9009 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4133 loss: 1.4133 2022/07/30 01:16:30 - mmengine - INFO - Epoch(train) [17][160/2505] lr: 5.0000e-04 eta: 1 day, 5:14:05 time: 0.9709 data_time: 0.3584 memory: 32703 grad_norm: 22.0024 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6466 loss: 1.6466 2022/07/30 01:16:51 - mmengine - INFO - Epoch(train) [17][180/2505] lr: 5.0000e-04 eta: 1 day, 5:13:49 time: 1.0736 data_time: 0.4543 memory: 32703 grad_norm: 21.5369 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7183 loss: 1.7183 2022/07/30 01:17:10 - mmengine - INFO - Epoch(train) [17][200/2505] lr: 5.0000e-04 eta: 1 day, 5:13:26 time: 0.9410 data_time: 0.3281 memory: 32703 grad_norm: 21.2297 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4722 loss: 1.4722 2022/07/30 01:17:30 - mmengine - INFO - Epoch(train) [17][220/2505] lr: 5.0000e-04 eta: 1 day, 5:13:05 time: 0.9997 data_time: 0.3861 memory: 32703 grad_norm: 21.8998 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6093 loss: 1.6093 2022/07/30 01:17:49 - mmengine - INFO - Epoch(train) [17][240/2505] lr: 5.0000e-04 eta: 1 day, 5:12:42 time: 0.9334 data_time: 0.3315 memory: 32703 grad_norm: 21.3084 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7731 loss: 1.7731 2022/07/30 01:18:09 - mmengine - INFO - Epoch(train) [17][260/2505] lr: 5.0000e-04 eta: 1 day, 5:12:22 time: 1.0005 data_time: 0.4207 memory: 32703 grad_norm: 20.8468 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7369 loss: 1.7369 2022/07/30 01:18:27 - mmengine - INFO - Epoch(train) [17][280/2505] lr: 5.0000e-04 eta: 1 day, 5:11:57 time: 0.9150 data_time: 0.3032 memory: 32703 grad_norm: 22.2806 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3895 loss: 1.3895 2022/07/30 01:18:47 - mmengine - INFO - Epoch(train) [17][300/2505] lr: 5.0000e-04 eta: 1 day, 5:11:36 time: 0.9815 data_time: 0.4058 memory: 32703 grad_norm: 21.7700 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4633 loss: 1.4633 2022/07/30 01:19:05 - mmengine - INFO - Epoch(train) [17][320/2505] lr: 5.0000e-04 eta: 1 day, 5:11:12 time: 0.9273 data_time: 0.3361 memory: 32703 grad_norm: 21.0889 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4493 loss: 1.4493 2022/07/30 01:19:27 - mmengine - INFO - Epoch(train) [17][340/2505] lr: 5.0000e-04 eta: 1 day, 5:10:56 time: 1.0833 data_time: 0.5103 memory: 32703 grad_norm: 21.7317 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5164 loss: 1.5164 2022/07/30 01:19:47 - mmengine - INFO - Epoch(train) [17][360/2505] lr: 5.0000e-04 eta: 1 day, 5:10:35 time: 0.9778 data_time: 0.3729 memory: 32703 grad_norm: 21.2533 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5564 loss: 1.5564 2022/07/30 01:20:10 - mmengine - INFO - Epoch(train) [17][380/2505] lr: 5.0000e-04 eta: 1 day, 5:10:23 time: 1.1470 data_time: 0.5320 memory: 32703 grad_norm: 21.5307 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7210 loss: 1.7210 2022/07/30 01:20:28 - mmengine - INFO - Epoch(train) [17][400/2505] lr: 5.0000e-04 eta: 1 day, 5:09:57 time: 0.9025 data_time: 0.2877 memory: 32703 grad_norm: 21.0558 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4277 loss: 1.4277 2022/07/30 01:20:48 - mmengine - INFO - Epoch(train) [17][420/2505] lr: 5.0000e-04 eta: 1 day, 5:09:38 time: 1.0105 data_time: 0.4248 memory: 32703 grad_norm: 21.7881 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1913 loss: 1.1913 2022/07/30 01:21:06 - mmengine - INFO - Epoch(train) [17][440/2505] lr: 5.0000e-04 eta: 1 day, 5:09:13 time: 0.9022 data_time: 0.3062 memory: 32703 grad_norm: 22.1806 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4317 loss: 1.4317 2022/07/30 01:21:27 - mmengine - INFO - Epoch(train) [17][460/2505] lr: 5.0000e-04 eta: 1 day, 5:08:55 time: 1.0497 data_time: 0.4255 memory: 32703 grad_norm: 21.1627 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.6172 loss: 1.6172 2022/07/30 01:21:45 - mmengine - INFO - Epoch(train) [17][480/2505] lr: 5.0000e-04 eta: 1 day, 5:08:31 time: 0.9261 data_time: 0.3340 memory: 32703 grad_norm: 21.1635 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6134 loss: 1.6134 2022/07/30 01:22:06 - mmengine - INFO - Epoch(train) [17][500/2505] lr: 5.0000e-04 eta: 1 day, 5:08:14 time: 1.0533 data_time: 0.4591 memory: 32703 grad_norm: 20.8841 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5998 loss: 1.5998 2022/07/30 01:22:25 - mmengine - INFO - Epoch(train) [17][520/2505] lr: 5.0000e-04 eta: 1 day, 5:07:49 time: 0.9102 data_time: 0.2871 memory: 32703 grad_norm: 21.8182 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5352 loss: 1.5352 2022/07/30 01:22:46 - mmengine - INFO - Epoch(train) [17][540/2505] lr: 5.0000e-04 eta: 1 day, 5:07:33 time: 1.0853 data_time: 0.4809 memory: 32703 grad_norm: 21.6863 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6877 loss: 1.6877 2022/07/30 01:23:04 - mmengine - INFO - Epoch(train) [17][560/2505] lr: 5.0000e-04 eta: 1 day, 5:07:08 time: 0.9035 data_time: 0.2888 memory: 32703 grad_norm: 20.4227 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6638 loss: 1.6638 2022/07/30 01:23:26 - mmengine - INFO - Epoch(train) [17][580/2505] lr: 5.0000e-04 eta: 1 day, 5:06:52 time: 1.0822 data_time: 0.4852 memory: 32703 grad_norm: 22.0001 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3118 loss: 1.3118 2022/07/30 01:23:43 - mmengine - INFO - Epoch(train) [17][600/2505] lr: 5.0000e-04 eta: 1 day, 5:06:24 time: 0.8458 data_time: 0.2706 memory: 32703 grad_norm: 21.3059 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3757 loss: 1.3757 2022/07/30 01:24:04 - mmengine - INFO - Epoch(train) [17][620/2505] lr: 5.0000e-04 eta: 1 day, 5:06:07 time: 1.0635 data_time: 0.4703 memory: 32703 grad_norm: 20.6145 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5313 loss: 1.5313 2022/07/30 01:24:22 - mmengine - INFO - Epoch(train) [17][640/2505] lr: 5.0000e-04 eta: 1 day, 5:05:41 time: 0.8775 data_time: 0.3071 memory: 32703 grad_norm: 21.2847 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6938 loss: 1.6938 2022/07/30 01:24:45 - mmengine - INFO - Epoch(train) [17][660/2505] lr: 5.0000e-04 eta: 1 day, 5:05:29 time: 1.1573 data_time: 0.3848 memory: 32703 grad_norm: 21.0818 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6027 loss: 1.6027 2022/07/30 01:25:02 - mmengine - INFO - Epoch(train) [17][680/2505] lr: 5.0000e-04 eta: 1 day, 5:05:01 time: 0.8572 data_time: 0.2231 memory: 32703 grad_norm: 21.0146 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4555 loss: 1.4555 2022/07/30 01:25:25 - mmengine - INFO - Epoch(train) [17][700/2505] lr: 5.0000e-04 eta: 1 day, 5:04:49 time: 1.1468 data_time: 0.3352 memory: 32703 grad_norm: 21.7479 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4981 loss: 1.4981 2022/07/30 01:25:42 - mmengine - INFO - Epoch(train) [17][720/2505] lr: 5.0000e-04 eta: 1 day, 5:04:21 time: 0.8588 data_time: 0.1372 memory: 32703 grad_norm: 20.7788 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6774 loss: 1.6774 2022/07/30 01:26:04 - mmengine - INFO - Epoch(train) [17][740/2505] lr: 5.0000e-04 eta: 1 day, 5:04:05 time: 1.0730 data_time: 0.2809 memory: 32703 grad_norm: 20.8328 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6647 loss: 1.6647 2022/07/30 01:26:22 - mmengine - INFO - Epoch(train) [17][760/2505] lr: 5.0000e-04 eta: 1 day, 5:03:40 time: 0.9095 data_time: 0.1517 memory: 32703 grad_norm: 21.3881 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7721 loss: 1.7721 2022/07/30 01:26:43 - mmengine - INFO - Epoch(train) [17][780/2505] lr: 5.0000e-04 eta: 1 day, 5:03:22 time: 1.0422 data_time: 0.1445 memory: 32703 grad_norm: 21.1311 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4095 loss: 1.4095 2022/07/30 01:27:01 - mmengine - INFO - Epoch(train) [17][800/2505] lr: 5.0000e-04 eta: 1 day, 5:02:58 time: 0.9213 data_time: 0.0941 memory: 32703 grad_norm: 21.1776 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5904 loss: 1.5904 2022/07/30 01:27:22 - mmengine - INFO - Epoch(train) [17][820/2505] lr: 5.0000e-04 eta: 1 day, 5:02:39 time: 1.0266 data_time: 0.2039 memory: 32703 grad_norm: 20.7845 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5876 loss: 1.5876 2022/07/30 01:27:40 - mmengine - INFO - Epoch(train) [17][840/2505] lr: 5.0000e-04 eta: 1 day, 5:02:15 time: 0.9066 data_time: 0.0778 memory: 32703 grad_norm: 21.1222 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6839 loss: 1.6839 2022/07/30 01:28:01 - mmengine - INFO - Epoch(train) [17][860/2505] lr: 5.0000e-04 eta: 1 day, 5:01:58 time: 1.0670 data_time: 0.1939 memory: 32703 grad_norm: 21.9369 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3461 loss: 1.3461 2022/07/30 01:28:19 - mmengine - INFO - Epoch(train) [17][880/2505] lr: 5.0000e-04 eta: 1 day, 5:01:33 time: 0.9048 data_time: 0.2125 memory: 32703 grad_norm: 20.8844 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3602 loss: 1.3602 2022/07/30 01:28:40 - mmengine - INFO - Epoch(train) [17][900/2505] lr: 5.0000e-04 eta: 1 day, 5:01:15 time: 1.0420 data_time: 0.3040 memory: 32703 grad_norm: 20.9714 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3686 loss: 1.3686 2022/07/30 01:28:58 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 01:28:58 - mmengine - INFO - Epoch(train) [17][920/2505] lr: 5.0000e-04 eta: 1 day, 5:00:50 time: 0.9069 data_time: 0.1929 memory: 32703 grad_norm: 21.8769 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6611 loss: 1.6611 2022/07/30 01:29:20 - mmengine - INFO - Epoch(train) [17][940/2505] lr: 5.0000e-04 eta: 1 day, 5:00:34 time: 1.0882 data_time: 0.3294 memory: 32703 grad_norm: 21.6827 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6245 loss: 1.6245 2022/07/30 01:29:38 - mmengine - INFO - Epoch(train) [17][960/2505] lr: 5.0000e-04 eta: 1 day, 5:00:09 time: 0.8941 data_time: 0.2541 memory: 32703 grad_norm: 21.7903 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5861 loss: 1.5861 2022/07/30 01:29:58 - mmengine - INFO - Epoch(train) [17][980/2505] lr: 5.0000e-04 eta: 1 day, 4:59:50 time: 1.0181 data_time: 0.2816 memory: 32703 grad_norm: 20.5936 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1779 loss: 1.1779 2022/07/30 01:30:18 - mmengine - INFO - Epoch(train) [17][1000/2505] lr: 5.0000e-04 eta: 1 day, 4:59:28 time: 0.9701 data_time: 0.1305 memory: 32703 grad_norm: 21.1874 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6063 loss: 1.6063 2022/07/30 01:30:39 - mmengine - INFO - Epoch(train) [17][1020/2505] lr: 5.0000e-04 eta: 1 day, 4:59:10 time: 1.0460 data_time: 0.0775 memory: 32703 grad_norm: 20.5442 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6727 loss: 1.6727 2022/07/30 01:30:57 - mmengine - INFO - Epoch(train) [17][1040/2505] lr: 5.0000e-04 eta: 1 day, 4:58:47 time: 0.9251 data_time: 0.1303 memory: 32703 grad_norm: 21.8117 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5667 loss: 1.5667 2022/07/30 01:31:18 - mmengine - INFO - Epoch(train) [17][1060/2505] lr: 5.0000e-04 eta: 1 day, 4:58:30 time: 1.0619 data_time: 0.2875 memory: 32703 grad_norm: 21.7946 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4487 loss: 1.4487 2022/07/30 01:31:36 - mmengine - INFO - Epoch(train) [17][1080/2505] lr: 5.0000e-04 eta: 1 day, 4:58:03 time: 0.8799 data_time: 0.2259 memory: 32703 grad_norm: 20.6041 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.6652 loss: 1.6652 2022/07/30 01:31:57 - mmengine - INFO - Epoch(train) [17][1100/2505] lr: 5.0000e-04 eta: 1 day, 4:57:46 time: 1.0635 data_time: 0.2966 memory: 32703 grad_norm: 21.0390 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7205 loss: 1.7205 2022/07/30 01:32:17 - mmengine - INFO - Epoch(train) [17][1120/2505] lr: 5.0000e-04 eta: 1 day, 4:57:24 time: 0.9626 data_time: 0.0888 memory: 32703 grad_norm: 21.7761 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5566 loss: 1.5566 2022/07/30 01:32:37 - mmengine - INFO - Epoch(train) [17][1140/2505] lr: 5.0000e-04 eta: 1 day, 4:57:05 time: 1.0155 data_time: 0.1099 memory: 32703 grad_norm: 21.2785 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8021 loss: 1.8021 2022/07/30 01:32:55 - mmengine - INFO - Epoch(train) [17][1160/2505] lr: 5.0000e-04 eta: 1 day, 4:56:40 time: 0.9072 data_time: 0.0859 memory: 32703 grad_norm: 20.6387 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4593 loss: 1.4593 2022/07/30 01:33:16 - mmengine - INFO - Epoch(train) [17][1180/2505] lr: 5.0000e-04 eta: 1 day, 4:56:24 time: 1.0661 data_time: 0.1580 memory: 32703 grad_norm: 21.5399 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4614 loss: 1.4614 2022/07/30 01:33:34 - mmengine - INFO - Epoch(train) [17][1200/2505] lr: 5.0000e-04 eta: 1 day, 4:55:59 time: 0.9067 data_time: 0.1060 memory: 32703 grad_norm: 20.5421 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5046 loss: 1.5046 2022/07/30 01:33:56 - mmengine - INFO - Epoch(train) [17][1220/2505] lr: 5.0000e-04 eta: 1 day, 4:55:42 time: 1.0616 data_time: 0.0883 memory: 32703 grad_norm: 21.2943 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3719 loss: 1.3719 2022/07/30 01:34:15 - mmengine - INFO - Epoch(train) [17][1240/2505] lr: 5.0000e-04 eta: 1 day, 4:55:21 time: 0.9857 data_time: 0.0362 memory: 32703 grad_norm: 21.0584 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8518 loss: 1.8518 2022/07/30 01:34:35 - mmengine - INFO - Epoch(train) [17][1260/2505] lr: 5.0000e-04 eta: 1 day, 4:55:01 time: 1.0002 data_time: 0.1398 memory: 32703 grad_norm: 20.5735 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5400 loss: 1.5400 2022/07/30 01:34:54 - mmengine - INFO - Epoch(train) [17][1280/2505] lr: 5.0000e-04 eta: 1 day, 4:54:37 time: 0.9344 data_time: 0.1525 memory: 32703 grad_norm: 21.2769 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4935 loss: 1.4935 2022/07/30 01:35:16 - mmengine - INFO - Epoch(train) [17][1300/2505] lr: 5.0000e-04 eta: 1 day, 4:54:21 time: 1.0768 data_time: 0.3301 memory: 32703 grad_norm: 21.7125 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5420 loss: 1.5420 2022/07/30 01:35:34 - mmengine - INFO - Epoch(train) [17][1320/2505] lr: 5.0000e-04 eta: 1 day, 4:53:56 time: 0.9065 data_time: 0.2059 memory: 32703 grad_norm: 21.5434 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4481 loss: 1.4481 2022/07/30 01:35:54 - mmengine - INFO - Epoch(train) [17][1340/2505] lr: 5.0000e-04 eta: 1 day, 4:53:38 time: 1.0242 data_time: 0.2330 memory: 32703 grad_norm: 22.2743 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7303 loss: 1.7303 2022/07/30 01:36:14 - mmengine - INFO - Epoch(train) [17][1360/2505] lr: 5.0000e-04 eta: 1 day, 4:53:17 time: 0.9889 data_time: 0.1311 memory: 32703 grad_norm: 22.5316 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2773 loss: 1.2773 2022/07/30 01:36:35 - mmengine - INFO - Epoch(train) [17][1380/2505] lr: 5.0000e-04 eta: 1 day, 4:53:00 time: 1.0586 data_time: 0.2271 memory: 32703 grad_norm: 20.7518 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6192 loss: 1.6192 2022/07/30 01:36:54 - mmengine - INFO - Epoch(train) [17][1400/2505] lr: 5.0000e-04 eta: 1 day, 4:52:36 time: 0.9235 data_time: 0.0266 memory: 32703 grad_norm: 20.7296 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4362 loss: 1.4362 2022/07/30 01:37:15 - mmengine - INFO - Epoch(train) [17][1420/2505] lr: 5.0000e-04 eta: 1 day, 4:52:19 time: 1.0571 data_time: 0.0272 memory: 32703 grad_norm: 21.4084 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4846 loss: 1.4846 2022/07/30 01:37:33 - mmengine - INFO - Epoch(train) [17][1440/2505] lr: 5.0000e-04 eta: 1 day, 4:51:54 time: 0.9052 data_time: 0.0263 memory: 32703 grad_norm: 21.3662 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7161 loss: 1.7161 2022/07/30 01:37:53 - mmengine - INFO - Epoch(train) [17][1460/2505] lr: 5.0000e-04 eta: 1 day, 4:51:34 time: 1.0076 data_time: 0.0252 memory: 32703 grad_norm: 20.7695 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7582 loss: 1.7582 2022/07/30 01:38:12 - mmengine - INFO - Epoch(train) [17][1480/2505] lr: 5.0000e-04 eta: 1 day, 4:51:12 time: 0.9625 data_time: 0.0317 memory: 32703 grad_norm: 20.3326 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5254 loss: 1.5254 2022/07/30 01:38:33 - mmengine - INFO - Epoch(train) [17][1500/2505] lr: 5.0000e-04 eta: 1 day, 4:50:53 time: 1.0145 data_time: 0.0314 memory: 32703 grad_norm: 21.1149 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7025 loss: 1.7025 2022/07/30 01:38:52 - mmengine - INFO - Epoch(train) [17][1520/2505] lr: 5.0000e-04 eta: 1 day, 4:50:30 time: 0.9553 data_time: 0.0346 memory: 32703 grad_norm: 20.9017 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5267 loss: 1.5267 2022/07/30 01:39:11 - mmengine - INFO - Epoch(train) [17][1540/2505] lr: 5.0000e-04 eta: 1 day, 4:50:08 time: 0.9470 data_time: 0.0307 memory: 32703 grad_norm: 20.7835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5149 loss: 1.5149 2022/07/30 01:39:31 - mmengine - INFO - Epoch(train) [17][1560/2505] lr: 5.0000e-04 eta: 1 day, 4:49:49 time: 1.0266 data_time: 0.0280 memory: 32703 grad_norm: 20.8464 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5043 loss: 1.5043 2022/07/30 01:39:50 - mmengine - INFO - Epoch(train) [17][1580/2505] lr: 5.0000e-04 eta: 1 day, 4:49:26 time: 0.9402 data_time: 0.0276 memory: 32703 grad_norm: 21.1988 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6971 loss: 1.6971 2022/07/30 01:40:12 - mmengine - INFO - Epoch(train) [17][1600/2505] lr: 5.0000e-04 eta: 1 day, 4:49:11 time: 1.0983 data_time: 0.0309 memory: 32703 grad_norm: 20.3660 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5531 loss: 1.5531 2022/07/30 01:40:30 - mmengine - INFO - Epoch(train) [17][1620/2505] lr: 5.0000e-04 eta: 1 day, 4:48:46 time: 0.9111 data_time: 0.0292 memory: 32703 grad_norm: 20.5447 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2750 loss: 1.2750 2022/07/30 01:40:52 - mmengine - INFO - Epoch(train) [17][1640/2505] lr: 5.0000e-04 eta: 1 day, 4:48:29 time: 1.0639 data_time: 0.0275 memory: 32703 grad_norm: 21.2101 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4878 loss: 1.4878 2022/07/30 01:41:10 - mmengine - INFO - Epoch(train) [17][1660/2505] lr: 5.0000e-04 eta: 1 day, 4:48:06 time: 0.9473 data_time: 0.0263 memory: 32703 grad_norm: 22.5860 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6699 loss: 1.6699 2022/07/30 01:41:30 - mmengine - INFO - Epoch(train) [17][1680/2505] lr: 5.0000e-04 eta: 1 day, 4:47:46 time: 0.9853 data_time: 0.0311 memory: 32703 grad_norm: 21.2355 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8467 loss: 1.8467 2022/07/30 01:41:49 - mmengine - INFO - Epoch(train) [17][1700/2505] lr: 5.0000e-04 eta: 1 day, 4:47:23 time: 0.9416 data_time: 0.0326 memory: 32703 grad_norm: 21.5322 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6817 loss: 1.6817 2022/07/30 01:42:10 - mmengine - INFO - Epoch(train) [17][1720/2505] lr: 5.0000e-04 eta: 1 day, 4:47:04 time: 1.0304 data_time: 0.0270 memory: 32703 grad_norm: 20.4396 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5901 loss: 1.5901 2022/07/30 01:42:27 - mmengine - INFO - Epoch(train) [17][1740/2505] lr: 5.0000e-04 eta: 1 day, 4:46:39 time: 0.8915 data_time: 0.0261 memory: 32703 grad_norm: 20.4331 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6610 loss: 1.6610 2022/07/30 01:42:49 - mmengine - INFO - Epoch(train) [17][1760/2505] lr: 5.0000e-04 eta: 1 day, 4:46:21 time: 1.0611 data_time: 0.0277 memory: 32703 grad_norm: 20.6472 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7181 loss: 1.7181 2022/07/30 01:43:06 - mmengine - INFO - Epoch(train) [17][1780/2505] lr: 5.0000e-04 eta: 1 day, 4:45:56 time: 0.8912 data_time: 0.0276 memory: 32703 grad_norm: 20.7283 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5408 loss: 1.5408 2022/07/30 01:43:28 - mmengine - INFO - Epoch(train) [17][1800/2505] lr: 5.0000e-04 eta: 1 day, 4:45:40 time: 1.0913 data_time: 0.0259 memory: 32703 grad_norm: 20.8071 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4897 loss: 1.4897 2022/07/30 01:43:45 - mmengine - INFO - Epoch(train) [17][1820/2505] lr: 5.0000e-04 eta: 1 day, 4:45:12 time: 0.8296 data_time: 0.0275 memory: 32703 grad_norm: 19.6515 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5520 loss: 1.5520 2022/07/30 01:44:07 - mmengine - INFO - Epoch(train) [17][1840/2505] lr: 5.0000e-04 eta: 1 day, 4:44:56 time: 1.0844 data_time: 0.0410 memory: 32703 grad_norm: 21.0263 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5034 loss: 1.5034 2022/07/30 01:44:24 - mmengine - INFO - Epoch(train) [17][1860/2505] lr: 5.0000e-04 eta: 1 day, 4:44:30 time: 0.8837 data_time: 0.0260 memory: 32703 grad_norm: 21.3609 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7163 loss: 1.7163 2022/07/30 01:44:45 - mmengine - INFO - Epoch(train) [17][1880/2505] lr: 5.0000e-04 eta: 1 day, 4:44:11 time: 1.0150 data_time: 0.0268 memory: 32703 grad_norm: 20.6060 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4698 loss: 1.4698 2022/07/30 01:45:05 - mmengine - INFO - Epoch(train) [17][1900/2505] lr: 5.0000e-04 eta: 1 day, 4:43:51 time: 0.9967 data_time: 0.0353 memory: 32703 grad_norm: 21.0755 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6380 loss: 1.6380 2022/07/30 01:45:26 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 01:45:26 - mmengine - INFO - Epoch(train) [17][1920/2505] lr: 5.0000e-04 eta: 1 day, 4:43:33 time: 1.0501 data_time: 0.0278 memory: 32703 grad_norm: 21.3902 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5726 loss: 1.5726 2022/07/30 01:45:44 - mmengine - INFO - Epoch(train) [17][1940/2505] lr: 5.0000e-04 eta: 1 day, 4:43:10 time: 0.9438 data_time: 0.0285 memory: 32703 grad_norm: 20.8964 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5606 loss: 1.5606 2022/07/30 01:46:07 - mmengine - INFO - Epoch(train) [17][1960/2505] lr: 5.0000e-04 eta: 1 day, 4:42:57 time: 1.1409 data_time: 0.0266 memory: 32703 grad_norm: 20.6797 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7113 loss: 1.7113 2022/07/30 01:46:23 - mmengine - INFO - Epoch(train) [17][1980/2505] lr: 5.0000e-04 eta: 1 day, 4:42:27 time: 0.8031 data_time: 0.0270 memory: 32703 grad_norm: 20.7062 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.6994 loss: 1.6994 2022/07/30 01:46:45 - mmengine - INFO - Epoch(train) [17][2000/2505] lr: 5.0000e-04 eta: 1 day, 4:42:11 time: 1.0783 data_time: 0.0328 memory: 32703 grad_norm: 21.0578 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6193 loss: 1.6193 2022/07/30 01:47:03 - mmengine - INFO - Epoch(train) [17][2020/2505] lr: 5.0000e-04 eta: 1 day, 4:41:47 time: 0.9156 data_time: 0.0287 memory: 32703 grad_norm: 20.5853 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4311 loss: 1.4311 2022/07/30 01:47:24 - mmengine - INFO - Epoch(train) [17][2040/2505] lr: 5.0000e-04 eta: 1 day, 4:41:28 time: 1.0304 data_time: 0.0260 memory: 32703 grad_norm: 21.2200 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5059 loss: 1.5059 2022/07/30 01:47:44 - mmengine - INFO - Epoch(train) [17][2060/2505] lr: 5.0000e-04 eta: 1 day, 4:41:08 time: 0.9992 data_time: 0.0347 memory: 32703 grad_norm: 21.0911 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6363 loss: 1.6363 2022/07/30 01:48:05 - mmengine - INFO - Epoch(train) [17][2080/2505] lr: 5.0000e-04 eta: 1 day, 4:40:51 time: 1.0703 data_time: 0.0355 memory: 32703 grad_norm: 20.8425 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5379 loss: 1.5379 2022/07/30 01:48:22 - mmengine - INFO - Epoch(train) [17][2100/2505] lr: 5.0000e-04 eta: 1 day, 4:40:24 time: 0.8470 data_time: 0.0326 memory: 32703 grad_norm: 21.9638 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4423 loss: 1.4423 2022/07/30 01:48:44 - mmengine - INFO - Epoch(train) [17][2120/2505] lr: 5.0000e-04 eta: 1 day, 4:40:08 time: 1.0779 data_time: 0.0295 memory: 32703 grad_norm: 20.5886 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3273 loss: 1.3273 2022/07/30 01:49:03 - mmengine - INFO - Epoch(train) [17][2140/2505] lr: 5.0000e-04 eta: 1 day, 4:39:45 time: 0.9421 data_time: 0.0329 memory: 32703 grad_norm: 19.9154 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5464 loss: 1.5464 2022/07/30 01:49:23 - mmengine - INFO - Epoch(train) [17][2160/2505] lr: 5.0000e-04 eta: 1 day, 4:39:26 time: 1.0228 data_time: 0.0311 memory: 32703 grad_norm: 20.7893 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5582 loss: 1.5582 2022/07/30 01:49:42 - mmengine - INFO - Epoch(train) [17][2180/2505] lr: 5.0000e-04 eta: 1 day, 4:39:02 time: 0.9325 data_time: 0.0298 memory: 32703 grad_norm: 20.7683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3898 loss: 1.3898 2022/07/30 01:50:04 - mmengine - INFO - Epoch(train) [17][2200/2505] lr: 5.0000e-04 eta: 1 day, 4:38:47 time: 1.0975 data_time: 0.0269 memory: 32703 grad_norm: 20.0255 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4193 loss: 1.4193 2022/07/30 01:50:22 - mmengine - INFO - Epoch(train) [17][2220/2505] lr: 5.0000e-04 eta: 1 day, 4:38:23 time: 0.9281 data_time: 0.0280 memory: 32703 grad_norm: 21.8771 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4178 loss: 1.4178 2022/07/30 01:50:43 - mmengine - INFO - Epoch(train) [17][2240/2505] lr: 5.0000e-04 eta: 1 day, 4:38:05 time: 1.0326 data_time: 0.0267 memory: 32703 grad_norm: 21.9391 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7278 loss: 1.7278 2022/07/30 01:51:01 - mmengine - INFO - Epoch(train) [17][2260/2505] lr: 5.0000e-04 eta: 1 day, 4:37:41 time: 0.9279 data_time: 0.0325 memory: 32703 grad_norm: 20.5725 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4729 loss: 1.4729 2022/07/30 01:51:21 - mmengine - INFO - Epoch(train) [17][2280/2505] lr: 5.0000e-04 eta: 1 day, 4:37:22 time: 1.0049 data_time: 0.0284 memory: 32703 grad_norm: 21.3670 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4623 loss: 1.4623 2022/07/30 01:51:39 - mmengine - INFO - Epoch(train) [17][2300/2505] lr: 5.0000e-04 eta: 1 day, 4:36:55 time: 0.8690 data_time: 0.0278 memory: 32703 grad_norm: 21.4072 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5673 loss: 1.5673 2022/07/30 01:52:01 - mmengine - INFO - Epoch(train) [17][2320/2505] lr: 5.0000e-04 eta: 1 day, 4:36:41 time: 1.1140 data_time: 0.0303 memory: 32703 grad_norm: 20.9288 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5102 loss: 1.5102 2022/07/30 01:52:19 - mmengine - INFO - Epoch(train) [17][2340/2505] lr: 5.0000e-04 eta: 1 day, 4:36:14 time: 0.8758 data_time: 0.0266 memory: 32703 grad_norm: 19.7389 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5580 loss: 1.5580 2022/07/30 01:52:40 - mmengine - INFO - Epoch(train) [17][2360/2505] lr: 5.0000e-04 eta: 1 day, 4:35:58 time: 1.0695 data_time: 0.0390 memory: 32703 grad_norm: 21.2719 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2865 loss: 1.2865 2022/07/30 01:52:59 - mmengine - INFO - Epoch(train) [17][2380/2505] lr: 5.0000e-04 eta: 1 day, 4:35:34 time: 0.9325 data_time: 0.0283 memory: 32703 grad_norm: 20.7384 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5336 loss: 1.5336 2022/07/30 01:53:18 - mmengine - INFO - Epoch(train) [17][2400/2505] lr: 5.0000e-04 eta: 1 day, 4:35:12 time: 0.9411 data_time: 0.0314 memory: 32703 grad_norm: 20.7653 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5305 loss: 1.5305 2022/07/30 01:53:38 - mmengine - INFO - Epoch(train) [17][2420/2505] lr: 5.0000e-04 eta: 1 day, 4:34:53 time: 1.0416 data_time: 0.0323 memory: 32703 grad_norm: 20.1334 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3795 loss: 1.3795 2022/07/30 01:53:56 - mmengine - INFO - Epoch(train) [17][2440/2505] lr: 5.0000e-04 eta: 1 day, 4:34:28 time: 0.8825 data_time: 0.0297 memory: 32703 grad_norm: 20.2528 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7798 loss: 1.7798 2022/07/30 01:54:19 - mmengine - INFO - Epoch(train) [17][2460/2505] lr: 5.0000e-04 eta: 1 day, 4:34:14 time: 1.1317 data_time: 0.0309 memory: 32703 grad_norm: 20.3647 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5067 loss: 1.5067 2022/07/30 01:54:37 - mmengine - INFO - Epoch(train) [17][2480/2505] lr: 5.0000e-04 eta: 1 day, 4:33:50 time: 0.9122 data_time: 0.0327 memory: 32703 grad_norm: 21.2963 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3776 loss: 1.3776 2022/07/30 01:54:56 - mmengine - INFO - Epoch(train) [17][2500/2505] lr: 5.0000e-04 eta: 1 day, 4:33:27 time: 0.9461 data_time: 0.0259 memory: 32703 grad_norm: 20.7234 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9516 loss: 1.9516 2022/07/30 01:54:59 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 01:54:59 - mmengine - INFO - Epoch(train) [17][2505/2505] lr: 5.0000e-04 eta: 1 day, 4:33:27 time: 0.7126 data_time: 0.0236 memory: 32703 grad_norm: 20.6021 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8521 loss: 1.8521 2022/07/30 01:55:30 - mmengine - INFO - Epoch(train) [18][20/2505] lr: 5.0000e-04 eta: 1 day, 4:33:18 time: 1.5786 data_time: 0.4759 memory: 32703 grad_norm: 20.9258 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5291 loss: 1.5291 2022/07/30 01:55:47 - mmengine - INFO - Epoch(train) [18][40/2505] lr: 5.0000e-04 eta: 1 day, 4:32:50 time: 0.8482 data_time: 0.0406 memory: 32703 grad_norm: 21.0656 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5329 loss: 1.5329 2022/07/30 01:56:08 - mmengine - INFO - Epoch(train) [18][60/2505] lr: 5.0000e-04 eta: 1 day, 4:32:33 time: 1.0582 data_time: 0.0269 memory: 32703 grad_norm: 20.0773 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5660 loss: 1.5660 2022/07/30 01:56:27 - mmengine - INFO - Epoch(train) [18][80/2505] lr: 5.0000e-04 eta: 1 day, 4:32:10 time: 0.9311 data_time: 0.0269 memory: 32703 grad_norm: 21.8000 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4185 loss: 1.4185 2022/07/30 01:56:48 - mmengine - INFO - Epoch(train) [18][100/2505] lr: 5.0000e-04 eta: 1 day, 4:31:52 time: 1.0453 data_time: 0.0277 memory: 32703 grad_norm: 21.0378 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1645 loss: 1.1645 2022/07/30 01:57:06 - mmengine - INFO - Epoch(train) [18][120/2505] lr: 5.0000e-04 eta: 1 day, 4:31:26 time: 0.8877 data_time: 0.0273 memory: 32703 grad_norm: 21.2112 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5270 loss: 1.5270 2022/07/30 01:57:28 - mmengine - INFO - Epoch(train) [18][140/2505] lr: 5.0000e-04 eta: 1 day, 4:31:11 time: 1.0921 data_time: 0.0262 memory: 32703 grad_norm: 21.2425 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4668 loss: 1.4668 2022/07/30 01:57:45 - mmengine - INFO - Epoch(train) [18][160/2505] lr: 5.0000e-04 eta: 1 day, 4:30:44 time: 0.8637 data_time: 0.0273 memory: 32703 grad_norm: 21.0364 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5498 loss: 1.5498 2022/07/30 01:58:06 - mmengine - INFO - Epoch(train) [18][180/2505] lr: 5.0000e-04 eta: 1 day, 4:30:28 time: 1.0738 data_time: 0.0266 memory: 32703 grad_norm: 20.6669 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8278 loss: 1.8278 2022/07/30 01:58:24 - mmengine - INFO - Epoch(train) [18][200/2505] lr: 5.0000e-04 eta: 1 day, 4:30:03 time: 0.8993 data_time: 0.0302 memory: 32703 grad_norm: 20.7305 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5174 loss: 1.5174 2022/07/30 01:58:46 - mmengine - INFO - Epoch(train) [18][220/2505] lr: 5.0000e-04 eta: 1 day, 4:29:46 time: 1.0711 data_time: 0.0291 memory: 32703 grad_norm: 20.9864 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5633 loss: 1.5633 2022/07/30 01:59:04 - mmengine - INFO - Epoch(train) [18][240/2505] lr: 5.0000e-04 eta: 1 day, 4:29:21 time: 0.9043 data_time: 0.0268 memory: 32703 grad_norm: 21.3106 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3870 loss: 1.3870 2022/07/30 01:59:24 - mmengine - INFO - Epoch(train) [18][260/2505] lr: 5.0000e-04 eta: 1 day, 4:29:02 time: 1.0086 data_time: 0.0273 memory: 32703 grad_norm: 21.3432 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4892 loss: 1.4892 2022/07/30 01:59:43 - mmengine - INFO - Epoch(train) [18][280/2505] lr: 5.0000e-04 eta: 1 day, 4:28:39 time: 0.9472 data_time: 0.0341 memory: 32703 grad_norm: 21.3337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7697 loss: 1.7697 2022/07/30 02:00:04 - mmengine - INFO - Epoch(train) [18][300/2505] lr: 5.0000e-04 eta: 1 day, 4:28:22 time: 1.0644 data_time: 0.0314 memory: 32703 grad_norm: 21.2380 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4931 loss: 1.4931 2022/07/30 02:00:23 - mmengine - INFO - Epoch(train) [18][320/2505] lr: 5.0000e-04 eta: 1 day, 4:27:59 time: 0.9421 data_time: 0.0342 memory: 32703 grad_norm: 20.0242 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8137 loss: 1.8137 2022/07/30 02:00:44 - mmengine - INFO - Epoch(train) [18][340/2505] lr: 5.0000e-04 eta: 1 day, 4:27:41 time: 1.0405 data_time: 0.0326 memory: 32703 grad_norm: 21.7542 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5299 loss: 1.5299 2022/07/30 02:01:02 - mmengine - INFO - Epoch(train) [18][360/2505] lr: 5.0000e-04 eta: 1 day, 4:27:15 time: 0.8799 data_time: 0.0290 memory: 32703 grad_norm: 20.7330 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3660 loss: 1.3660 2022/07/30 02:01:23 - mmengine - INFO - Epoch(train) [18][380/2505] lr: 5.0000e-04 eta: 1 day, 4:26:58 time: 1.0495 data_time: 0.0292 memory: 32703 grad_norm: 21.8218 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7183 loss: 1.7183 2022/07/30 02:01:42 - mmengine - INFO - Epoch(train) [18][400/2505] lr: 5.0000e-04 eta: 1 day, 4:26:37 time: 0.9821 data_time: 0.0268 memory: 32703 grad_norm: 20.8494 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4342 loss: 1.4342 2022/07/30 02:01:56 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 02:02:03 - mmengine - INFO - Epoch(train) [18][420/2505] lr: 5.0000e-04 eta: 1 day, 4:26:18 time: 1.0177 data_time: 0.0306 memory: 32703 grad_norm: 20.1818 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4392 loss: 1.4392 2022/07/30 02:02:22 - mmengine - INFO - Epoch(train) [18][440/2505] lr: 5.0000e-04 eta: 1 day, 4:25:55 time: 0.9524 data_time: 0.0260 memory: 32703 grad_norm: 20.4091 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7084 loss: 1.7084 2022/07/30 02:02:41 - mmengine - INFO - Epoch(train) [18][460/2505] lr: 5.0000e-04 eta: 1 day, 4:25:34 time: 0.9667 data_time: 0.0300 memory: 32703 grad_norm: 20.2231 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4488 loss: 1.4488 2022/07/30 02:03:01 - mmengine - INFO - Epoch(train) [18][480/2505] lr: 5.0000e-04 eta: 1 day, 4:25:14 time: 0.9987 data_time: 0.0289 memory: 32703 grad_norm: 21.8985 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7331 loss: 1.7331 2022/07/30 02:03:20 - mmengine - INFO - Epoch(train) [18][500/2505] lr: 5.0000e-04 eta: 1 day, 4:24:52 time: 0.9655 data_time: 0.0325 memory: 32703 grad_norm: 20.3747 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4442 loss: 1.4442 2022/07/30 02:03:40 - mmengine - INFO - Epoch(train) [18][520/2505] lr: 5.0000e-04 eta: 1 day, 4:24:30 time: 0.9726 data_time: 0.0328 memory: 32703 grad_norm: 20.8421 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3893 loss: 1.3893 2022/07/30 02:03:59 - mmengine - INFO - Epoch(train) [18][540/2505] lr: 5.0000e-04 eta: 1 day, 4:24:08 time: 0.9581 data_time: 0.0330 memory: 32703 grad_norm: 21.0422 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6292 loss: 1.6292 2022/07/30 02:04:19 - mmengine - INFO - Epoch(train) [18][560/2505] lr: 5.0000e-04 eta: 1 day, 4:23:49 time: 1.0190 data_time: 0.0329 memory: 32703 grad_norm: 21.0478 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3508 loss: 1.3508 2022/07/30 02:04:38 - mmengine - INFO - Epoch(train) [18][580/2505] lr: 5.0000e-04 eta: 1 day, 4:23:27 time: 0.9558 data_time: 0.0315 memory: 32703 grad_norm: 21.3622 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5044 loss: 1.5044 2022/07/30 02:04:58 - mmengine - INFO - Epoch(train) [18][600/2505] lr: 5.0000e-04 eta: 1 day, 4:23:07 time: 0.9952 data_time: 0.0313 memory: 32703 grad_norm: 21.0279 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6480 loss: 1.6480 2022/07/30 02:05:18 - mmengine - INFO - Epoch(train) [18][620/2505] lr: 5.0000e-04 eta: 1 day, 4:22:47 time: 0.9989 data_time: 0.0283 memory: 32703 grad_norm: 21.0368 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3815 loss: 1.3815 2022/07/30 02:05:38 - mmengine - INFO - Epoch(train) [18][640/2505] lr: 5.0000e-04 eta: 1 day, 4:22:27 time: 0.9987 data_time: 0.0272 memory: 32703 grad_norm: 20.0526 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5281 loss: 1.5281 2022/07/30 02:05:57 - mmengine - INFO - Epoch(train) [18][660/2505] lr: 5.0000e-04 eta: 1 day, 4:22:04 time: 0.9385 data_time: 0.0617 memory: 32703 grad_norm: 20.6017 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6129 loss: 1.6129 2022/07/30 02:06:17 - mmengine - INFO - Epoch(train) [18][680/2505] lr: 5.0000e-04 eta: 1 day, 4:21:43 time: 0.9904 data_time: 0.0524 memory: 32703 grad_norm: 20.7088 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2913 loss: 1.2913 2022/07/30 02:06:37 - mmengine - INFO - Epoch(train) [18][700/2505] lr: 5.0000e-04 eta: 1 day, 4:21:23 time: 1.0005 data_time: 0.2816 memory: 32703 grad_norm: 19.5704 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4736 loss: 1.4736 2022/07/30 02:06:57 - mmengine - INFO - Epoch(train) [18][720/2505] lr: 5.0000e-04 eta: 1 day, 4:21:04 time: 1.0151 data_time: 0.3667 memory: 32703 grad_norm: 21.2592 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6604 loss: 1.6604 2022/07/30 02:07:16 - mmengine - INFO - Epoch(train) [18][740/2505] lr: 5.0000e-04 eta: 1 day, 4:20:40 time: 0.9206 data_time: 0.3016 memory: 32703 grad_norm: 19.6608 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4463 loss: 1.4463 2022/07/30 02:07:36 - mmengine - INFO - Epoch(train) [18][760/2505] lr: 5.0000e-04 eta: 1 day, 4:20:21 time: 1.0255 data_time: 0.3507 memory: 32703 grad_norm: 20.7979 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5060 loss: 1.5060 2022/07/30 02:07:55 - mmengine - INFO - Epoch(train) [18][780/2505] lr: 5.0000e-04 eta: 1 day, 4:19:59 time: 0.9562 data_time: 0.1630 memory: 32703 grad_norm: 21.3811 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3944 loss: 1.3944 2022/07/30 02:08:14 - mmengine - INFO - Epoch(train) [18][800/2505] lr: 5.0000e-04 eta: 1 day, 4:19:37 time: 0.9625 data_time: 0.2524 memory: 32703 grad_norm: 21.8015 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5379 loss: 1.5379 2022/07/30 02:08:35 - mmengine - INFO - Epoch(train) [18][820/2505] lr: 5.0000e-04 eta: 1 day, 4:19:18 time: 1.0211 data_time: 0.1605 memory: 32703 grad_norm: 20.5866 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5266 loss: 1.5266 2022/07/30 02:08:54 - mmengine - INFO - Epoch(train) [18][840/2505] lr: 5.0000e-04 eta: 1 day, 4:18:55 time: 0.9380 data_time: 0.1138 memory: 32703 grad_norm: 20.9333 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5489 loss: 1.5489 2022/07/30 02:09:14 - mmengine - INFO - Epoch(train) [18][860/2505] lr: 5.0000e-04 eta: 1 day, 4:18:37 time: 1.0434 data_time: 0.0712 memory: 32703 grad_norm: 22.9997 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7325 loss: 1.7325 2022/07/30 02:09:34 - mmengine - INFO - Epoch(train) [18][880/2505] lr: 5.0000e-04 eta: 1 day, 4:18:16 time: 0.9797 data_time: 0.2136 memory: 32703 grad_norm: 20.9548 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5796 loss: 1.5796 2022/07/30 02:09:53 - mmengine - INFO - Epoch(train) [18][900/2505] lr: 5.0000e-04 eta: 1 day, 4:17:55 time: 0.9687 data_time: 0.2020 memory: 32703 grad_norm: 22.1329 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5582 loss: 1.5582 2022/07/30 02:10:14 - mmengine - INFO - Epoch(train) [18][920/2505] lr: 5.0000e-04 eta: 1 day, 4:17:35 time: 1.0121 data_time: 0.2544 memory: 32703 grad_norm: 21.3466 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7129 loss: 1.7129 2022/07/30 02:10:33 - mmengine - INFO - Epoch(train) [18][940/2505] lr: 5.0000e-04 eta: 1 day, 4:17:13 time: 0.9636 data_time: 0.2742 memory: 32703 grad_norm: 21.7552 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4748 loss: 1.4748 2022/07/30 02:10:53 - mmengine - INFO - Epoch(train) [18][960/2505] lr: 5.0000e-04 eta: 1 day, 4:16:52 time: 0.9784 data_time: 0.2366 memory: 32703 grad_norm: 20.7776 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6985 loss: 1.6985 2022/07/30 02:11:12 - mmengine - INFO - Epoch(train) [18][980/2505] lr: 5.0000e-04 eta: 1 day, 4:16:32 time: 0.9949 data_time: 0.0987 memory: 32703 grad_norm: 20.7328 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3946 loss: 1.3946 2022/07/30 02:11:32 - mmengine - INFO - Epoch(train) [18][1000/2505] lr: 5.0000e-04 eta: 1 day, 4:16:11 time: 0.9832 data_time: 0.1489 memory: 32703 grad_norm: 20.4667 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4176 loss: 1.4176 2022/07/30 02:11:52 - mmengine - INFO - Epoch(train) [18][1020/2505] lr: 5.0000e-04 eta: 1 day, 4:15:51 time: 0.9850 data_time: 0.2383 memory: 32703 grad_norm: 20.6989 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6047 loss: 1.6047 2022/07/30 02:12:14 - mmengine - INFO - Epoch(train) [18][1040/2505] lr: 5.0000e-04 eta: 1 day, 4:15:35 time: 1.0893 data_time: 0.1392 memory: 32703 grad_norm: 22.1794 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6140 loss: 1.6140 2022/07/30 02:12:33 - mmengine - INFO - Epoch(train) [18][1060/2505] lr: 5.0000e-04 eta: 1 day, 4:15:12 time: 0.9515 data_time: 0.0272 memory: 32703 grad_norm: 20.2433 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6093 loss: 1.6093 2022/07/30 02:12:53 - mmengine - INFO - Epoch(train) [18][1080/2505] lr: 5.0000e-04 eta: 1 day, 4:14:54 time: 1.0299 data_time: 0.0295 memory: 32703 grad_norm: 20.2678 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7168 loss: 1.7168 2022/07/30 02:13:11 - mmengine - INFO - Epoch(train) [18][1100/2505] lr: 5.0000e-04 eta: 1 day, 4:14:30 time: 0.9109 data_time: 0.0270 memory: 32703 grad_norm: 21.1376 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5118 loss: 1.5118 2022/07/30 02:13:32 - mmengine - INFO - Epoch(train) [18][1120/2505] lr: 5.0000e-04 eta: 1 day, 4:14:11 time: 1.0329 data_time: 0.0360 memory: 32703 grad_norm: 20.6079 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4428 loss: 1.4428 2022/07/30 02:13:51 - mmengine - INFO - Epoch(train) [18][1140/2505] lr: 5.0000e-04 eta: 1 day, 4:13:48 time: 0.9288 data_time: 0.0270 memory: 32703 grad_norm: 20.5692 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3656 loss: 1.3656 2022/07/30 02:14:11 - mmengine - INFO - Epoch(train) [18][1160/2505] lr: 5.0000e-04 eta: 1 day, 4:13:29 time: 1.0369 data_time: 0.0288 memory: 32703 grad_norm: 21.3068 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4586 loss: 1.4586 2022/07/30 02:14:30 - mmengine - INFO - Epoch(train) [18][1180/2505] lr: 5.0000e-04 eta: 1 day, 4:13:06 time: 0.9306 data_time: 0.0815 memory: 32703 grad_norm: 20.6270 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4872 loss: 1.4872 2022/07/30 02:14:50 - mmengine - INFO - Epoch(train) [18][1200/2505] lr: 5.0000e-04 eta: 1 day, 4:12:46 time: 1.0043 data_time: 0.1221 memory: 32703 grad_norm: 21.6112 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7884 loss: 1.7884 2022/07/30 02:15:10 - mmengine - INFO - Epoch(train) [18][1220/2505] lr: 5.0000e-04 eta: 1 day, 4:12:26 time: 1.0028 data_time: 0.1317 memory: 32703 grad_norm: 21.3201 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6065 loss: 1.6065 2022/07/30 02:15:29 - mmengine - INFO - Epoch(train) [18][1240/2505] lr: 5.0000e-04 eta: 1 day, 4:12:04 time: 0.9533 data_time: 0.1071 memory: 32703 grad_norm: 20.6124 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4812 loss: 1.4812 2022/07/30 02:15:49 - mmengine - INFO - Epoch(train) [18][1260/2505] lr: 5.0000e-04 eta: 1 day, 4:11:44 time: 0.9915 data_time: 0.0946 memory: 32703 grad_norm: 21.7415 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6584 loss: 1.6584 2022/07/30 02:16:08 - mmengine - INFO - Epoch(train) [18][1280/2505] lr: 5.0000e-04 eta: 1 day, 4:11:21 time: 0.9426 data_time: 0.1774 memory: 32703 grad_norm: 20.6093 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.4854 loss: 1.4854 2022/07/30 02:16:27 - mmengine - INFO - Epoch(train) [18][1300/2505] lr: 5.0000e-04 eta: 1 day, 4:10:58 time: 0.9435 data_time: 0.1192 memory: 32703 grad_norm: 21.9317 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5128 loss: 1.5128 2022/07/30 02:16:48 - mmengine - INFO - Epoch(train) [18][1320/2505] lr: 5.0000e-04 eta: 1 day, 4:10:41 time: 1.0479 data_time: 0.2865 memory: 32703 grad_norm: 20.8716 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4663 loss: 1.4663 2022/07/30 02:17:08 - mmengine - INFO - Epoch(train) [18][1340/2505] lr: 5.0000e-04 eta: 1 day, 4:10:20 time: 0.9970 data_time: 0.0982 memory: 32703 grad_norm: 20.3351 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.6929 loss: 1.6929 2022/07/30 02:17:26 - mmengine - INFO - Epoch(train) [18][1360/2505] lr: 5.0000e-04 eta: 1 day, 4:09:57 time: 0.9240 data_time: 0.0600 memory: 32703 grad_norm: 20.6493 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3512 loss: 1.3512 2022/07/30 02:17:47 - mmengine - INFO - Epoch(train) [18][1380/2505] lr: 5.0000e-04 eta: 1 day, 4:09:39 time: 1.0386 data_time: 0.0413 memory: 32703 grad_norm: 20.4354 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6328 loss: 1.6328 2022/07/30 02:18:06 - mmengine - INFO - Epoch(train) [18][1400/2505] lr: 5.0000e-04 eta: 1 day, 4:09:17 time: 0.9754 data_time: 0.0451 memory: 32703 grad_norm: 21.6657 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4920 loss: 1.4920 2022/07/30 02:18:20 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 02:18:26 - mmengine - INFO - Epoch(train) [18][1420/2505] lr: 5.0000e-04 eta: 1 day, 4:08:55 time: 0.9547 data_time: 0.0323 memory: 32703 grad_norm: 20.9928 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5587 loss: 1.5587 2022/07/30 02:18:45 - mmengine - INFO - Epoch(train) [18][1440/2505] lr: 5.0000e-04 eta: 1 day, 4:08:33 time: 0.9458 data_time: 0.0309 memory: 32703 grad_norm: 21.4655 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6455 loss: 1.6455 2022/07/30 02:19:03 - mmengine - INFO - Epoch(train) [18][1460/2505] lr: 5.0000e-04 eta: 1 day, 4:08:10 time: 0.9462 data_time: 0.0990 memory: 32703 grad_norm: 21.0561 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5154 loss: 1.5154 2022/07/30 02:19:24 - mmengine - INFO - Epoch(train) [18][1480/2505] lr: 5.0000e-04 eta: 1 day, 4:07:51 time: 1.0182 data_time: 0.2455 memory: 32703 grad_norm: 21.4098 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4218 loss: 1.4218 2022/07/30 02:19:43 - mmengine - INFO - Epoch(train) [18][1500/2505] lr: 5.0000e-04 eta: 1 day, 4:07:30 time: 0.9717 data_time: 0.3611 memory: 32703 grad_norm: 20.3059 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6085 loss: 1.6085 2022/07/30 02:20:04 - mmengine - INFO - Epoch(train) [18][1520/2505] lr: 5.0000e-04 eta: 1 day, 4:07:13 time: 1.0614 data_time: 0.4645 memory: 32703 grad_norm: 19.7326 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3767 loss: 1.3767 2022/07/30 02:20:23 - mmengine - INFO - Epoch(train) [18][1540/2505] lr: 5.0000e-04 eta: 1 day, 4:06:50 time: 0.9498 data_time: 0.3387 memory: 32703 grad_norm: 20.5864 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7798 loss: 1.7798 2022/07/30 02:20:44 - mmengine - INFO - Epoch(train) [18][1560/2505] lr: 5.0000e-04 eta: 1 day, 4:06:32 time: 1.0316 data_time: 0.4167 memory: 32703 grad_norm: 21.4225 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4446 loss: 1.4446 2022/07/30 02:21:04 - mmengine - INFO - Epoch(train) [18][1580/2505] lr: 5.0000e-04 eta: 1 day, 4:06:10 time: 0.9726 data_time: 0.3623 memory: 32703 grad_norm: 21.0029 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4064 loss: 1.4064 2022/07/30 02:21:25 - mmengine - INFO - Epoch(train) [18][1600/2505] lr: 5.0000e-04 eta: 1 day, 4:05:53 time: 1.0677 data_time: 0.4561 memory: 32703 grad_norm: 21.9752 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5048 loss: 1.5048 2022/07/30 02:21:43 - mmengine - INFO - Epoch(train) [18][1620/2505] lr: 5.0000e-04 eta: 1 day, 4:05:29 time: 0.9061 data_time: 0.3022 memory: 32703 grad_norm: 20.8213 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6008 loss: 1.6008 2022/07/30 02:22:04 - mmengine - INFO - Epoch(train) [18][1640/2505] lr: 5.0000e-04 eta: 1 day, 4:05:11 time: 1.0520 data_time: 0.4443 memory: 32703 grad_norm: 21.0723 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3479 loss: 1.3479 2022/07/30 02:22:22 - mmengine - INFO - Epoch(train) [18][1660/2505] lr: 5.0000e-04 eta: 1 day, 4:04:47 time: 0.8944 data_time: 0.3055 memory: 32703 grad_norm: 20.3420 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5150 loss: 1.5150 2022/07/30 02:22:43 - mmengine - INFO - Epoch(train) [18][1680/2505] lr: 5.0000e-04 eta: 1 day, 4:04:30 time: 1.0723 data_time: 0.4312 memory: 32703 grad_norm: 19.7629 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4864 loss: 1.4864 2022/07/30 02:23:01 - mmengine - INFO - Epoch(train) [18][1700/2505] lr: 5.0000e-04 eta: 1 day, 4:04:05 time: 0.8949 data_time: 0.2773 memory: 32703 grad_norm: 21.5709 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3945 loss: 1.3945 2022/07/30 02:23:23 - mmengine - INFO - Epoch(train) [18][1720/2505] lr: 5.0000e-04 eta: 1 day, 4:03:50 time: 1.0994 data_time: 0.4909 memory: 32703 grad_norm: 21.0619 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4583 loss: 1.4583 2022/07/30 02:23:40 - mmengine - INFO - Epoch(train) [18][1740/2505] lr: 5.0000e-04 eta: 1 day, 4:03:23 time: 0.8472 data_time: 0.2630 memory: 32703 grad_norm: 20.3841 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5406 loss: 1.5406 2022/07/30 02:24:02 - mmengine - INFO - Epoch(train) [18][1760/2505] lr: 5.0000e-04 eta: 1 day, 4:03:06 time: 1.0727 data_time: 0.4599 memory: 32703 grad_norm: 20.4781 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4884 loss: 1.4884 2022/07/30 02:24:20 - mmengine - INFO - Epoch(train) [18][1780/2505] lr: 5.0000e-04 eta: 1 day, 4:02:41 time: 0.8887 data_time: 0.3018 memory: 32703 grad_norm: 22.0373 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5301 loss: 1.5301 2022/07/30 02:24:41 - mmengine - INFO - Epoch(train) [18][1800/2505] lr: 5.0000e-04 eta: 1 day, 4:02:23 time: 1.0597 data_time: 0.4311 memory: 32703 grad_norm: 20.4448 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4421 loss: 1.4421 2022/07/30 02:24:59 - mmengine - INFO - Epoch(train) [18][1820/2505] lr: 5.0000e-04 eta: 1 day, 4:02:00 time: 0.9257 data_time: 0.3080 memory: 32703 grad_norm: 20.7336 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5874 loss: 1.5874 2022/07/30 02:25:21 - mmengine - INFO - Epoch(train) [18][1840/2505] lr: 5.0000e-04 eta: 1 day, 4:01:45 time: 1.1064 data_time: 0.4641 memory: 32703 grad_norm: 21.1481 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.5546 loss: 1.5546 2022/07/30 02:25:40 - mmengine - INFO - Epoch(train) [18][1860/2505] lr: 5.0000e-04 eta: 1 day, 4:01:22 time: 0.9321 data_time: 0.2968 memory: 32703 grad_norm: 19.5088 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5281 loss: 1.5281 2022/07/30 02:26:01 - mmengine - INFO - Epoch(train) [18][1880/2505] lr: 5.0000e-04 eta: 1 day, 4:01:03 time: 1.0313 data_time: 0.3939 memory: 32703 grad_norm: 22.5156 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5729 loss: 1.5729 2022/07/30 02:26:18 - mmengine - INFO - Epoch(train) [18][1900/2505] lr: 5.0000e-04 eta: 1 day, 4:00:37 time: 0.8590 data_time: 0.2760 memory: 32703 grad_norm: 21.2686 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6573 loss: 1.6573 2022/07/30 02:26:39 - mmengine - INFO - Epoch(train) [18][1920/2505] lr: 5.0000e-04 eta: 1 day, 4:00:19 time: 1.0621 data_time: 0.4777 memory: 32703 grad_norm: 20.7305 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.5982 loss: 1.5982 2022/07/30 02:26:58 - mmengine - INFO - Epoch(train) [18][1940/2505] lr: 5.0000e-04 eta: 1 day, 3:59:57 time: 0.9392 data_time: 0.3521 memory: 32703 grad_norm: 20.4997 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5523 loss: 1.5523 2022/07/30 02:27:18 - mmengine - INFO - Epoch(train) [18][1960/2505] lr: 5.0000e-04 eta: 1 day, 3:59:37 time: 1.0153 data_time: 0.4346 memory: 32703 grad_norm: 21.0646 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7241 loss: 1.7241 2022/07/30 02:27:38 - mmengine - INFO - Epoch(train) [18][1980/2505] lr: 5.0000e-04 eta: 1 day, 3:59:16 time: 0.9735 data_time: 0.4028 memory: 32703 grad_norm: 20.7781 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5382 loss: 1.5382 2022/07/30 02:27:59 - mmengine - INFO - Epoch(train) [18][2000/2505] lr: 5.0000e-04 eta: 1 day, 3:58:59 time: 1.0542 data_time: 0.4810 memory: 32703 grad_norm: 20.4425 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8172 loss: 1.8172 2022/07/30 02:28:16 - mmengine - INFO - Epoch(train) [18][2020/2505] lr: 5.0000e-04 eta: 1 day, 3:58:32 time: 0.8623 data_time: 0.2667 memory: 32703 grad_norm: 20.3716 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4879 loss: 1.4879 2022/07/30 02:28:37 - mmengine - INFO - Epoch(train) [18][2040/2505] lr: 5.0000e-04 eta: 1 day, 3:58:14 time: 1.0369 data_time: 0.4294 memory: 32703 grad_norm: 20.9271 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4293 loss: 1.4293 2022/07/30 02:28:55 - mmengine - INFO - Epoch(train) [18][2060/2505] lr: 5.0000e-04 eta: 1 day, 3:57:49 time: 0.8981 data_time: 0.3243 memory: 32703 grad_norm: 21.2062 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5996 loss: 1.5996 2022/07/30 02:29:16 - mmengine - INFO - Epoch(train) [18][2080/2505] lr: 5.0000e-04 eta: 1 day, 3:57:33 time: 1.0803 data_time: 0.4813 memory: 32703 grad_norm: 21.2319 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7215 loss: 1.7215 2022/07/30 02:29:34 - mmengine - INFO - Epoch(train) [18][2100/2505] lr: 5.0000e-04 eta: 1 day, 3:57:08 time: 0.8960 data_time: 0.3182 memory: 32703 grad_norm: 20.7378 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5298 loss: 1.5298 2022/07/30 02:29:56 - mmengine - INFO - Epoch(train) [18][2120/2505] lr: 5.0000e-04 eta: 1 day, 3:56:51 time: 1.0697 data_time: 0.4923 memory: 32703 grad_norm: 19.9655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5448 loss: 1.5448 2022/07/30 02:30:15 - mmengine - INFO - Epoch(train) [18][2140/2505] lr: 5.0000e-04 eta: 1 day, 3:56:29 time: 0.9451 data_time: 0.3689 memory: 32703 grad_norm: 20.0215 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6034 loss: 1.6034 2022/07/30 02:30:36 - mmengine - INFO - Epoch(train) [18][2160/2505] lr: 5.0000e-04 eta: 1 day, 3:56:12 time: 1.0640 data_time: 0.4587 memory: 32703 grad_norm: 20.6532 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2094 loss: 1.2094 2022/07/30 02:30:53 - mmengine - INFO - Epoch(train) [18][2180/2505] lr: 5.0000e-04 eta: 1 day, 3:55:46 time: 0.8776 data_time: 0.2849 memory: 32703 grad_norm: 19.7062 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4564 loss: 1.4564 2022/07/30 02:31:14 - mmengine - INFO - Epoch(train) [18][2200/2505] lr: 5.0000e-04 eta: 1 day, 3:55:29 time: 1.0519 data_time: 0.4443 memory: 32703 grad_norm: 19.5551 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7029 loss: 1.7029 2022/07/30 02:31:32 - mmengine - INFO - Epoch(train) [18][2220/2505] lr: 5.0000e-04 eta: 1 day, 3:55:04 time: 0.8928 data_time: 0.3190 memory: 32703 grad_norm: 20.7856 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.7199 loss: 1.7199 2022/07/30 02:31:55 - mmengine - INFO - Epoch(train) [18][2240/2505] lr: 5.0000e-04 eta: 1 day, 3:54:49 time: 1.1158 data_time: 0.4839 memory: 32703 grad_norm: 20.7162 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6961 loss: 1.6961 2022/07/30 02:32:13 - mmengine - INFO - Epoch(train) [18][2260/2505] lr: 5.0000e-04 eta: 1 day, 3:54:25 time: 0.9131 data_time: 0.3301 memory: 32703 grad_norm: 21.3993 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4932 loss: 1.4932 2022/07/30 02:32:35 - mmengine - INFO - Epoch(train) [18][2280/2505] lr: 5.0000e-04 eta: 1 day, 3:54:09 time: 1.0965 data_time: 0.4946 memory: 32703 grad_norm: 19.7923 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5633 loss: 1.5633 2022/07/30 02:32:52 - mmengine - INFO - Epoch(train) [18][2300/2505] lr: 5.0000e-04 eta: 1 day, 3:53:44 time: 0.8852 data_time: 0.2911 memory: 32703 grad_norm: 20.7744 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5709 loss: 1.5709 2022/07/30 02:33:14 - mmengine - INFO - Epoch(train) [18][2320/2505] lr: 5.0000e-04 eta: 1 day, 3:53:27 time: 1.0730 data_time: 0.4639 memory: 32703 grad_norm: 20.1151 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5851 loss: 1.5851 2022/07/30 02:33:31 - mmengine - INFO - Epoch(train) [18][2340/2505] lr: 5.0000e-04 eta: 1 day, 3:53:02 time: 0.8696 data_time: 0.2571 memory: 32703 grad_norm: 20.1956 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5245 loss: 1.5245 2022/07/30 02:33:53 - mmengine - INFO - Epoch(train) [18][2360/2505] lr: 5.0000e-04 eta: 1 day, 3:52:45 time: 1.0709 data_time: 0.4595 memory: 32703 grad_norm: 20.2844 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5979 loss: 1.5979 2022/07/30 02:34:09 - mmengine - INFO - Epoch(train) [18][2380/2505] lr: 5.0000e-04 eta: 1 day, 3:52:17 time: 0.8249 data_time: 0.2423 memory: 32703 grad_norm: 21.6148 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4647 loss: 1.4647 2022/07/30 02:34:30 - mmengine - INFO - Epoch(train) [18][2400/2505] lr: 5.0000e-04 eta: 1 day, 3:51:58 time: 1.0335 data_time: 0.3075 memory: 32703 grad_norm: 20.5400 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6042 loss: 1.6042 2022/07/30 02:34:45 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 02:34:49 - mmengine - INFO - Epoch(train) [18][2420/2505] lr: 5.0000e-04 eta: 1 day, 3:51:35 time: 0.9320 data_time: 0.2622 memory: 32703 grad_norm: 20.3703 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.6192 loss: 1.6192 2022/07/30 02:35:11 - mmengine - INFO - Epoch(train) [18][2440/2505] lr: 5.0000e-04 eta: 1 day, 3:51:21 time: 1.1278 data_time: 0.2455 memory: 32703 grad_norm: 21.3171 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6565 loss: 1.6565 2022/07/30 02:35:29 - mmengine - INFO - Epoch(train) [18][2460/2505] lr: 5.0000e-04 eta: 1 day, 3:50:57 time: 0.9051 data_time: 0.1950 memory: 32703 grad_norm: 20.1615 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3953 loss: 1.3953 2022/07/30 02:35:51 - mmengine - INFO - Epoch(train) [18][2480/2505] lr: 5.0000e-04 eta: 1 day, 3:50:41 time: 1.0957 data_time: 0.1410 memory: 32703 grad_norm: 21.2826 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5568 loss: 1.5568 2022/07/30 02:36:08 - mmengine - INFO - Epoch(train) [18][2500/2505] lr: 5.0000e-04 eta: 1 day, 3:50:13 time: 0.8279 data_time: 0.0660 memory: 32703 grad_norm: 20.3247 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4716 loss: 1.4716 2022/07/30 02:36:11 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 02:36:11 - mmengine - INFO - Epoch(train) [18][2505/2505] lr: 5.0000e-04 eta: 1 day, 3:50:13 time: 0.8128 data_time: 0.0557 memory: 32703 grad_norm: 20.7272 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.4955 loss: 1.4955 2022/07/30 02:36:11 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/07/30 02:36:16 - mmengine - INFO - Epoch(val) [18][20/2475] eta: 0:03:57 time: 0.0967 data_time: 0.0634 memory: 817 2022/07/30 02:36:17 - mmengine - INFO - Epoch(val) [18][40/2475] eta: 0:03:24 time: 0.0839 data_time: 0.0507 memory: 817 2022/07/30 02:36:19 - mmengine - INFO - Epoch(val) [18][60/2475] eta: 0:04:12 time: 0.1046 data_time: 0.0736 memory: 817 2022/07/30 02:36:21 - mmengine - INFO - Epoch(val) [18][80/2475] eta: 0:02:30 time: 0.0628 data_time: 0.0300 memory: 817 2022/07/30 02:36:22 - mmengine - INFO - Epoch(val) [18][100/2475] eta: 0:03:50 time: 0.0970 data_time: 0.0647 memory: 817 2022/07/30 02:36:24 - mmengine - INFO - Epoch(val) [18][120/2475] eta: 0:02:58 time: 0.0757 data_time: 0.0455 memory: 817 2022/07/30 02:36:26 - mmengine - INFO - Epoch(val) [18][140/2475] eta: 0:02:58 time: 0.0763 data_time: 0.0456 memory: 817 2022/07/30 02:36:28 - mmengine - INFO - Epoch(val) [18][160/2475] eta: 0:04:34 time: 0.1186 data_time: 0.0871 memory: 817 2022/07/30 02:36:29 - mmengine - INFO - Epoch(val) [18][180/2475] eta: 0:02:29 time: 0.0651 data_time: 0.0348 memory: 817 2022/07/30 02:36:31 - mmengine - INFO - Epoch(val) [18][200/2475] eta: 0:02:50 time: 0.0749 data_time: 0.0391 memory: 817 2022/07/30 02:36:33 - mmengine - INFO - Epoch(val) [18][220/2475] eta: 0:03:56 time: 0.1050 data_time: 0.0724 memory: 817 2022/07/30 02:36:34 - mmengine - INFO - Epoch(val) [18][240/2475] eta: 0:02:24 time: 0.0647 data_time: 0.0350 memory: 817 2022/07/30 02:36:36 - mmengine - INFO - Epoch(val) [18][260/2475] eta: 0:02:59 time: 0.0810 data_time: 0.0469 memory: 817 2022/07/30 02:36:37 - mmengine - INFO - Epoch(val) [18][280/2475] eta: 0:02:44 time: 0.0748 data_time: 0.0442 memory: 817 2022/07/30 02:36:39 - mmengine - INFO - Epoch(val) [18][300/2475] eta: 0:02:50 time: 0.0784 data_time: 0.0477 memory: 817 2022/07/30 02:36:40 - mmengine - INFO - Epoch(val) [18][320/2475] eta: 0:02:25 time: 0.0674 data_time: 0.0356 memory: 817 2022/07/30 02:36:42 - mmengine - INFO - Epoch(val) [18][340/2475] eta: 0:03:03 time: 0.0861 data_time: 0.0552 memory: 817 2022/07/30 02:36:43 - mmengine - INFO - Epoch(val) [18][360/2475] eta: 0:02:00 time: 0.0570 data_time: 0.0233 memory: 817 2022/07/30 02:36:44 - mmengine - INFO - Epoch(val) [18][380/2475] eta: 0:02:32 time: 0.0727 data_time: 0.0413 memory: 817 2022/07/30 02:36:46 - mmengine - INFO - Epoch(val) [18][400/2475] eta: 0:02:20 time: 0.0677 data_time: 0.0381 memory: 817 2022/07/30 02:36:48 - mmengine - INFO - Epoch(val) [18][420/2475] eta: 0:03:11 time: 0.0932 data_time: 0.0589 memory: 817 2022/07/30 02:36:49 - mmengine - INFO - Epoch(val) [18][440/2475] eta: 0:02:38 time: 0.0778 data_time: 0.0447 memory: 817 2022/07/30 02:36:51 - mmengine - INFO - Epoch(val) [18][460/2475] eta: 0:02:47 time: 0.0831 data_time: 0.0484 memory: 817 2022/07/30 02:36:52 - mmengine - INFO - Epoch(val) [18][480/2475] eta: 0:01:57 time: 0.0587 data_time: 0.0286 memory: 817 2022/07/30 02:36:56 - mmengine - INFO - Epoch(val) [18][500/2475] eta: 0:05:51 time: 0.1779 data_time: 0.1443 memory: 817 2022/07/30 02:36:57 - mmengine - INFO - Epoch(val) [18][520/2475] eta: 0:01:37 time: 0.0499 data_time: 0.0159 memory: 817 2022/07/30 02:36:58 - mmengine - INFO - Epoch(val) [18][540/2475] eta: 0:02:38 time: 0.0817 data_time: 0.0509 memory: 817 2022/07/30 02:37:00 - mmengine - INFO - Epoch(val) [18][560/2475] eta: 0:02:29 time: 0.0779 data_time: 0.0468 memory: 817 2022/07/30 02:37:02 - mmengine - INFO - Epoch(val) [18][580/2475] eta: 0:04:00 time: 0.1269 data_time: 0.0943 memory: 817 2022/07/30 02:37:04 - mmengine - INFO - Epoch(val) [18][600/2475] eta: 0:02:18 time: 0.0739 data_time: 0.0429 memory: 817 2022/07/30 02:37:06 - mmengine - INFO - Epoch(val) [18][620/2475] eta: 0:02:55 time: 0.0945 data_time: 0.0632 memory: 817 2022/07/30 02:37:07 - mmengine - INFO - Epoch(val) [18][640/2475] eta: 0:02:15 time: 0.0737 data_time: 0.0407 memory: 817 2022/07/30 02:37:09 - mmengine - INFO - Epoch(val) [18][660/2475] eta: 0:03:01 time: 0.0999 data_time: 0.0680 memory: 817 2022/07/30 02:37:11 - mmengine - INFO - Epoch(val) [18][680/2475] eta: 0:02:28 time: 0.0825 data_time: 0.0411 memory: 817 2022/07/30 02:37:13 - mmengine - INFO - Epoch(val) [18][700/2475] eta: 0:03:11 time: 0.1079 data_time: 0.0772 memory: 817 2022/07/30 02:37:14 - mmengine - INFO - Epoch(val) [18][720/2475] eta: 0:02:02 time: 0.0696 data_time: 0.0379 memory: 817 2022/07/30 02:37:16 - mmengine - INFO - Epoch(val) [18][740/2475] eta: 0:02:22 time: 0.0821 data_time: 0.0489 memory: 817 2022/07/30 02:37:18 - mmengine - INFO - Epoch(val) [18][760/2475] eta: 0:02:16 time: 0.0795 data_time: 0.0473 memory: 817 2022/07/30 02:37:19 - mmengine - INFO - Epoch(val) [18][780/2475] eta: 0:02:16 time: 0.0808 data_time: 0.0505 memory: 817 2022/07/30 02:37:21 - mmengine - INFO - Epoch(val) [18][800/2475] eta: 0:02:43 time: 0.0974 data_time: 0.0639 memory: 817 2022/07/30 02:37:23 - mmengine - INFO - Epoch(val) [18][820/2475] eta: 0:01:43 time: 0.0627 data_time: 0.0301 memory: 817 2022/07/30 02:37:24 - mmengine - INFO - Epoch(val) [18][840/2475] eta: 0:02:20 time: 0.0862 data_time: 0.0559 memory: 817 2022/07/30 02:37:26 - mmengine - INFO - Epoch(val) [18][860/2475] eta: 0:01:49 time: 0.0677 data_time: 0.0364 memory: 817 2022/07/30 02:37:27 - mmengine - INFO - Epoch(val) [18][880/2475] eta: 0:02:21 time: 0.0887 data_time: 0.0564 memory: 817 2022/07/30 02:37:29 - mmengine - INFO - Epoch(val) [18][900/2475] eta: 0:02:01 time: 0.0773 data_time: 0.0444 memory: 817 2022/07/30 02:37:31 - mmengine - INFO - Epoch(val) [18][920/2475] eta: 0:02:21 time: 0.0909 data_time: 0.0585 memory: 817 2022/07/30 02:37:32 - mmengine - INFO - Epoch(val) [18][940/2475] eta: 0:01:36 time: 0.0631 data_time: 0.0314 memory: 817 2022/07/30 02:37:34 - mmengine - INFO - Epoch(val) [18][960/2475] eta: 0:02:10 time: 0.0864 data_time: 0.0542 memory: 817 2022/07/30 02:37:36 - mmengine - INFO - Epoch(val) [18][980/2475] eta: 0:02:23 time: 0.0957 data_time: 0.0641 memory: 817 2022/07/30 02:37:37 - mmengine - INFO - Epoch(val) [18][1000/2475] eta: 0:01:32 time: 0.0630 data_time: 0.0317 memory: 817 2022/07/30 02:37:39 - mmengine - INFO - Epoch(val) [18][1020/2475] eta: 0:02:04 time: 0.0857 data_time: 0.0548 memory: 817 2022/07/30 02:37:40 - mmengine - INFO - Epoch(val) [18][1040/2475] eta: 0:01:37 time: 0.0681 data_time: 0.0371 memory: 817 2022/07/30 02:37:42 - mmengine - INFO - Epoch(val) [18][1060/2475] eta: 0:02:11 time: 0.0927 data_time: 0.0624 memory: 817 2022/07/30 02:37:43 - mmengine - INFO - Epoch(val) [18][1080/2475] eta: 0:01:52 time: 0.0804 data_time: 0.0484 memory: 817 2022/07/30 02:37:45 - mmengine - INFO - Epoch(val) [18][1100/2475] eta: 0:01:38 time: 0.0719 data_time: 0.0407 memory: 817 2022/07/30 02:37:47 - mmengine - INFO - Epoch(val) [18][1120/2475] eta: 0:02:10 time: 0.0964 data_time: 0.0636 memory: 817 2022/07/30 02:37:48 - mmengine - INFO - Epoch(val) [18][1140/2475] eta: 0:01:29 time: 0.0668 data_time: 0.0362 memory: 817 2022/07/30 02:37:49 - mmengine - INFO - Epoch(val) [18][1160/2475] eta: 0:01:12 time: 0.0549 data_time: 0.0221 memory: 817 2022/07/30 02:37:51 - mmengine - INFO - Epoch(val) [18][1180/2475] eta: 0:02:04 time: 0.0958 data_time: 0.0428 memory: 817 2022/07/30 02:37:53 - mmengine - INFO - Epoch(val) [18][1200/2475] eta: 0:01:29 time: 0.0702 data_time: 0.0396 memory: 817 2022/07/30 02:37:54 - mmengine - INFO - Epoch(val) [18][1220/2475] eta: 0:01:43 time: 0.0827 data_time: 0.0520 memory: 817 2022/07/30 02:37:56 - mmengine - INFO - Epoch(val) [18][1240/2475] eta: 0:01:35 time: 0.0773 data_time: 0.0461 memory: 817 2022/07/30 02:37:57 - mmengine - INFO - Epoch(val) [18][1260/2475] eta: 0:01:39 time: 0.0818 data_time: 0.0501 memory: 817 2022/07/30 02:37:59 - mmengine - INFO - Epoch(val) [18][1280/2475] eta: 0:01:19 time: 0.0667 data_time: 0.0344 memory: 817 2022/07/30 02:38:01 - mmengine - INFO - Epoch(val) [18][1300/2475] eta: 0:01:47 time: 0.0919 data_time: 0.0613 memory: 817 2022/07/30 02:38:02 - mmengine - INFO - Epoch(val) [18][1320/2475] eta: 0:01:32 time: 0.0803 data_time: 0.0496 memory: 817 2022/07/30 02:38:04 - mmengine - INFO - Epoch(val) [18][1340/2475] eta: 0:01:26 time: 0.0766 data_time: 0.0443 memory: 817 2022/07/30 02:38:05 - mmengine - INFO - Epoch(val) [18][1360/2475] eta: 0:01:19 time: 0.0709 data_time: 0.0410 memory: 817 2022/07/30 02:38:07 - mmengine - INFO - Epoch(val) [18][1380/2475] eta: 0:01:41 time: 0.0925 data_time: 0.0614 memory: 817 2022/07/30 02:38:09 - mmengine - INFO - Epoch(val) [18][1400/2475] eta: 0:01:45 time: 0.0977 data_time: 0.0647 memory: 817 2022/07/30 02:38:11 - mmengine - INFO - Epoch(val) [18][1420/2475] eta: 0:01:33 time: 0.0882 data_time: 0.0560 memory: 817 2022/07/30 02:38:12 - mmengine - INFO - Epoch(val) [18][1440/2475] eta: 0:01:10 time: 0.0683 data_time: 0.0367 memory: 817 2022/07/30 02:38:14 - mmengine - INFO - Epoch(val) [18][1460/2475] eta: 0:01:20 time: 0.0795 data_time: 0.0490 memory: 817 2022/07/30 02:38:16 - mmengine - INFO - Epoch(val) [18][1480/2475] eta: 0:01:47 time: 0.1084 data_time: 0.0776 memory: 817 2022/07/30 02:38:17 - mmengine - INFO - Epoch(val) [18][1500/2475] eta: 0:00:59 time: 0.0610 data_time: 0.0290 memory: 817 2022/07/30 02:38:19 - mmengine - INFO - Epoch(val) [18][1520/2475] eta: 0:01:16 time: 0.0802 data_time: 0.0489 memory: 817 2022/07/30 02:38:20 - mmengine - INFO - Epoch(val) [18][1540/2475] eta: 0:01:06 time: 0.0708 data_time: 0.0412 memory: 817 2022/07/30 02:38:22 - mmengine - INFO - Epoch(val) [18][1560/2475] eta: 0:01:40 time: 0.1093 data_time: 0.0787 memory: 817 2022/07/30 02:38:24 - mmengine - INFO - Epoch(val) [18][1580/2475] eta: 0:01:05 time: 0.0731 data_time: 0.0421 memory: 817 2022/07/30 02:38:25 - mmengine - INFO - Epoch(val) [18][1600/2475] eta: 0:01:07 time: 0.0772 data_time: 0.0456 memory: 817 2022/07/30 02:38:27 - mmengine - INFO - Epoch(val) [18][1620/2475] eta: 0:01:22 time: 0.0968 data_time: 0.0665 memory: 817 2022/07/30 02:38:28 - mmengine - INFO - Epoch(val) [18][1640/2475] eta: 0:00:45 time: 0.0542 data_time: 0.0227 memory: 817 2022/07/30 02:38:31 - mmengine - INFO - Epoch(val) [18][1660/2475] eta: 0:01:38 time: 0.1213 data_time: 0.0894 memory: 817 2022/07/30 02:38:32 - mmengine - INFO - Epoch(val) [18][1680/2475] eta: 0:00:46 time: 0.0590 data_time: 0.0179 memory: 817 2022/07/30 02:38:34 - mmengine - INFO - Epoch(val) [18][1700/2475] eta: 0:01:06 time: 0.0861 data_time: 0.0516 memory: 817 2022/07/30 02:38:35 - mmengine - INFO - Epoch(val) [18][1720/2475] eta: 0:00:48 time: 0.0644 data_time: 0.0322 memory: 817 2022/07/30 02:38:37 - mmengine - INFO - Epoch(val) [18][1740/2475] eta: 0:01:03 time: 0.0870 data_time: 0.0555 memory: 817 2022/07/30 02:38:38 - mmengine - INFO - Epoch(val) [18][1760/2475] eta: 0:00:58 time: 0.0819 data_time: 0.0496 memory: 817 2022/07/30 02:38:40 - mmengine - INFO - Epoch(val) [18][1780/2475] eta: 0:01:06 time: 0.0954 data_time: 0.0621 memory: 817 2022/07/30 02:38:42 - mmengine - INFO - Epoch(val) [18][1800/2475] eta: 0:00:53 time: 0.0790 data_time: 0.0432 memory: 817 2022/07/30 02:38:44 - mmengine - INFO - Epoch(val) [18][1820/2475] eta: 0:00:59 time: 0.0915 data_time: 0.0585 memory: 817 2022/07/30 02:38:45 - mmengine - INFO - Epoch(val) [18][1840/2475] eta: 0:00:49 time: 0.0776 data_time: 0.0472 memory: 817 2022/07/30 02:38:47 - mmengine - INFO - Epoch(val) [18][1860/2475] eta: 0:00:47 time: 0.0768 data_time: 0.0444 memory: 817 2022/07/30 02:38:49 - mmengine - INFO - Epoch(val) [18][1880/2475] eta: 0:00:56 time: 0.0957 data_time: 0.0634 memory: 817 2022/07/30 02:38:50 - mmengine - INFO - Epoch(val) [18][1900/2475] eta: 0:00:43 time: 0.0750 data_time: 0.0435 memory: 817 2022/07/30 02:38:52 - mmengine - INFO - Epoch(val) [18][1920/2475] eta: 0:00:45 time: 0.0814 data_time: 0.0441 memory: 817 2022/07/30 02:38:53 - mmengine - INFO - Epoch(val) [18][1940/2475] eta: 0:00:33 time: 0.0630 data_time: 0.0320 memory: 817 2022/07/30 02:38:55 - mmengine - INFO - Epoch(val) [18][1960/2475] eta: 0:00:46 time: 0.0903 data_time: 0.0595 memory: 817 2022/07/30 02:38:56 - mmengine - INFO - Epoch(val) [18][1980/2475] eta: 0:00:33 time: 0.0682 data_time: 0.0372 memory: 817 2022/07/30 02:38:58 - mmengine - INFO - Epoch(val) [18][2000/2475] eta: 0:00:36 time: 0.0776 data_time: 0.0449 memory: 817 2022/07/30 02:38:59 - mmengine - INFO - Epoch(val) [18][2020/2475] eta: 0:00:34 time: 0.0759 data_time: 0.0437 memory: 817 2022/07/30 02:39:01 - mmengine - INFO - Epoch(val) [18][2040/2475] eta: 0:00:34 time: 0.0804 data_time: 0.0488 memory: 817 2022/07/30 02:39:02 - mmengine - INFO - Epoch(val) [18][2060/2475] eta: 0:00:31 time: 0.0757 data_time: 0.0433 memory: 817 2022/07/30 02:39:04 - mmengine - INFO - Epoch(val) [18][2080/2475] eta: 0:00:33 time: 0.0850 data_time: 0.0538 memory: 817 2022/07/30 02:39:06 - mmengine - INFO - Epoch(val) [18][2100/2475] eta: 0:00:35 time: 0.0953 data_time: 0.0639 memory: 817 2022/07/30 02:39:08 - mmengine - INFO - Epoch(val) [18][2120/2475] eta: 0:00:29 time: 0.0818 data_time: 0.0505 memory: 817 2022/07/30 02:39:09 - mmengine - INFO - Epoch(val) [18][2140/2475] eta: 0:00:28 time: 0.0861 data_time: 0.0556 memory: 817 2022/07/30 02:39:11 - mmengine - INFO - Epoch(val) [18][2160/2475] eta: 0:00:26 time: 0.0832 data_time: 0.0252 memory: 817 2022/07/30 02:39:12 - mmengine - INFO - Epoch(val) [18][2180/2475] eta: 0:00:19 time: 0.0650 data_time: 0.0303 memory: 817 2022/07/30 02:39:14 - mmengine - INFO - Epoch(val) [18][2200/2475] eta: 0:00:23 time: 0.0846 data_time: 0.0541 memory: 817 2022/07/30 02:39:16 - mmengine - INFO - Epoch(val) [18][2220/2475] eta: 0:00:22 time: 0.0879 data_time: 0.0553 memory: 817 2022/07/30 02:39:17 - mmengine - INFO - Epoch(val) [18][2240/2475] eta: 0:00:16 time: 0.0695 data_time: 0.0375 memory: 817 2022/07/30 02:39:19 - mmengine - INFO - Epoch(val) [18][2260/2475] eta: 0:00:22 time: 0.1055 data_time: 0.0735 memory: 817 2022/07/30 02:39:21 - mmengine - INFO - Epoch(val) [18][2280/2475] eta: 0:00:12 time: 0.0650 data_time: 0.0335 memory: 817 2022/07/30 02:39:22 - mmengine - INFO - Epoch(val) [18][2300/2475] eta: 0:00:12 time: 0.0689 data_time: 0.0373 memory: 817 2022/07/30 02:39:24 - mmengine - INFO - Epoch(val) [18][2320/2475] eta: 0:00:11 time: 0.0741 data_time: 0.0429 memory: 817 2022/07/30 02:39:26 - mmengine - INFO - Epoch(val) [18][2340/2475] eta: 0:00:13 time: 0.1033 data_time: 0.0708 memory: 817 2022/07/30 02:39:27 - mmengine - INFO - Epoch(val) [18][2360/2475] eta: 0:00:08 time: 0.0763 data_time: 0.0430 memory: 817 2022/07/30 02:39:29 - mmengine - INFO - Epoch(val) [18][2380/2475] eta: 0:00:07 time: 0.0804 data_time: 0.0493 memory: 817 2022/07/30 02:39:30 - mmengine - INFO - Epoch(val) [18][2400/2475] eta: 0:00:04 time: 0.0642 data_time: 0.0324 memory: 817 2022/07/30 02:39:32 - mmengine - INFO - Epoch(val) [18][2420/2475] eta: 0:00:05 time: 0.0964 data_time: 0.0621 memory: 817 2022/07/30 02:39:33 - mmengine - INFO - Epoch(val) [18][2440/2475] eta: 0:00:01 time: 0.0358 data_time: 0.0055 memory: 817 2022/07/30 02:39:34 - mmengine - INFO - Epoch(val) [18][2460/2475] eta: 0:00:00 time: 0.0482 data_time: 0.0187 memory: 817 2022/07/30 02:39:36 - mmengine - INFO - Epoch(val) [18][2475/2475] acc/top1: 0.6928 acc/top5: 0.8881 acc/mean1: 0.6928 2022/07/30 02:40:03 - mmengine - INFO - Epoch(train) [19][20/2505] lr: 5.0000e-04 eta: 1 day, 3:49:53 time: 1.3546 data_time: 0.7406 memory: 32703 grad_norm: 20.2953 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3658 loss: 1.3658 2022/07/30 02:40:24 - mmengine - INFO - Epoch(train) [19][40/2505] lr: 5.0000e-04 eta: 1 day, 3:49:34 time: 1.0110 data_time: 0.4010 memory: 32703 grad_norm: 20.4851 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2993 loss: 1.2993 2022/07/30 02:40:44 - mmengine - INFO - Epoch(train) [19][60/2505] lr: 5.0000e-04 eta: 1 day, 3:49:15 time: 1.0355 data_time: 0.4490 memory: 32703 grad_norm: 20.9330 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1335 loss: 1.1335 2022/07/30 02:41:04 - mmengine - INFO - Epoch(train) [19][80/2505] lr: 5.0000e-04 eta: 1 day, 3:48:54 time: 0.9756 data_time: 0.3612 memory: 32703 grad_norm: 19.4549 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6721 loss: 1.6721 2022/07/30 02:41:26 - mmengine - INFO - Epoch(train) [19][100/2505] lr: 5.0000e-04 eta: 1 day, 3:48:39 time: 1.1109 data_time: 0.4428 memory: 32703 grad_norm: 20.2824 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2868 loss: 1.2868 2022/07/30 02:41:43 - mmengine - INFO - Epoch(train) [19][120/2505] lr: 5.0000e-04 eta: 1 day, 3:48:12 time: 0.8541 data_time: 0.2325 memory: 32703 grad_norm: 20.2116 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5146 loss: 1.5146 2022/07/30 02:42:05 - mmengine - INFO - Epoch(train) [19][140/2505] lr: 5.0000e-04 eta: 1 day, 3:47:55 time: 1.0679 data_time: 0.4281 memory: 32703 grad_norm: 20.4492 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4130 loss: 1.4130 2022/07/30 02:42:22 - mmengine - INFO - Epoch(train) [19][160/2505] lr: 5.0000e-04 eta: 1 day, 3:47:31 time: 0.8916 data_time: 0.3099 memory: 32703 grad_norm: 19.9830 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3784 loss: 1.3784 2022/07/30 02:42:45 - mmengine - INFO - Epoch(train) [19][180/2505] lr: 5.0000e-04 eta: 1 day, 3:47:16 time: 1.1122 data_time: 0.5040 memory: 32703 grad_norm: 20.6237 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4285 loss: 1.4285 2022/07/30 02:43:03 - mmengine - INFO - Epoch(train) [19][200/2505] lr: 5.0000e-04 eta: 1 day, 3:46:52 time: 0.9224 data_time: 0.3264 memory: 32703 grad_norm: 20.3566 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3803 loss: 1.3803 2022/07/30 02:43:24 - mmengine - INFO - Epoch(train) [19][220/2505] lr: 5.0000e-04 eta: 1 day, 3:46:33 time: 1.0225 data_time: 0.3669 memory: 32703 grad_norm: 21.4803 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5645 loss: 1.5645 2022/07/30 02:43:42 - mmengine - INFO - Epoch(train) [19][240/2505] lr: 5.0000e-04 eta: 1 day, 3:46:10 time: 0.9187 data_time: 0.1524 memory: 32703 grad_norm: 20.6056 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5448 loss: 1.5448 2022/07/30 02:44:03 - mmengine - INFO - Epoch(train) [19][260/2505] lr: 5.0000e-04 eta: 1 day, 3:45:51 time: 1.0429 data_time: 0.3353 memory: 32703 grad_norm: 19.1430 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4967 loss: 1.4967 2022/07/30 02:44:21 - mmengine - INFO - Epoch(train) [19][280/2505] lr: 5.0000e-04 eta: 1 day, 3:45:26 time: 0.8865 data_time: 0.2257 memory: 32703 grad_norm: 20.9392 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4835 loss: 1.4835 2022/07/30 02:44:43 - mmengine - INFO - Epoch(train) [19][300/2505] lr: 5.0000e-04 eta: 1 day, 3:45:11 time: 1.0979 data_time: 0.4584 memory: 32703 grad_norm: 20.9855 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5966 loss: 1.5966 2022/07/30 02:45:00 - mmengine - INFO - Epoch(train) [19][320/2505] lr: 5.0000e-04 eta: 1 day, 3:44:45 time: 0.8811 data_time: 0.2818 memory: 32703 grad_norm: 20.8419 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6578 loss: 1.6578 2022/07/30 02:45:21 - mmengine - INFO - Epoch(train) [19][340/2505] lr: 5.0000e-04 eta: 1 day, 3:44:28 time: 1.0534 data_time: 0.4404 memory: 32703 grad_norm: 21.2538 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3651 loss: 1.3651 2022/07/30 02:45:40 - mmengine - INFO - Epoch(train) [19][360/2505] lr: 5.0000e-04 eta: 1 day, 3:44:05 time: 0.9402 data_time: 0.3334 memory: 32703 grad_norm: 21.1037 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3585 loss: 1.3585 2022/07/30 02:46:02 - mmengine - INFO - Epoch(train) [19][380/2505] lr: 5.0000e-04 eta: 1 day, 3:43:48 time: 1.0734 data_time: 0.3390 memory: 32703 grad_norm: 20.7361 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4064 loss: 1.4064 2022/07/30 02:46:20 - mmengine - INFO - Epoch(train) [19][400/2505] lr: 5.0000e-04 eta: 1 day, 3:43:26 time: 0.9496 data_time: 0.2352 memory: 32703 grad_norm: 21.2598 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3577 loss: 1.3577 2022/07/30 02:46:42 - mmengine - INFO - Epoch(train) [19][420/2505] lr: 5.0000e-04 eta: 1 day, 3:43:09 time: 1.0611 data_time: 0.3557 memory: 32703 grad_norm: 20.6739 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5006 loss: 1.5006 2022/07/30 02:47:00 - mmengine - INFO - Epoch(train) [19][440/2505] lr: 5.0000e-04 eta: 1 day, 3:42:45 time: 0.9133 data_time: 0.1492 memory: 32703 grad_norm: 21.3213 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.4950 loss: 1.4950 2022/07/30 02:47:21 - mmengine - INFO - Epoch(train) [19][460/2505] lr: 5.0000e-04 eta: 1 day, 3:42:28 time: 1.0569 data_time: 0.1061 memory: 32703 grad_norm: 19.7143 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5155 loss: 1.5155 2022/07/30 02:47:38 - mmengine - INFO - Epoch(train) [19][480/2505] lr: 5.0000e-04 eta: 1 day, 3:42:00 time: 0.8346 data_time: 0.1054 memory: 32703 grad_norm: 19.8490 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5491 loss: 1.5491 2022/07/30 02:47:58 - mmengine - INFO - Epoch(train) [19][500/2505] lr: 5.0000e-04 eta: 1 day, 3:41:41 time: 1.0226 data_time: 0.2897 memory: 32703 grad_norm: 20.4166 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4521 loss: 1.4521 2022/07/30 02:48:16 - mmengine - INFO - Epoch(train) [19][520/2505] lr: 5.0000e-04 eta: 1 day, 3:41:16 time: 0.8788 data_time: 0.2008 memory: 32703 grad_norm: 21.0454 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4285 loss: 1.4285 2022/07/30 02:48:37 - mmengine - INFO - Epoch(train) [19][540/2505] lr: 5.0000e-04 eta: 1 day, 3:40:58 time: 1.0538 data_time: 0.3682 memory: 32703 grad_norm: 19.9139 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5190 loss: 1.5190 2022/07/30 02:48:56 - mmengine - INFO - Epoch(train) [19][560/2505] lr: 5.0000e-04 eta: 1 day, 3:40:36 time: 0.9455 data_time: 0.3229 memory: 32703 grad_norm: 22.1196 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5278 loss: 1.5278 2022/07/30 02:49:17 - mmengine - INFO - Epoch(train) [19][580/2505] lr: 5.0000e-04 eta: 1 day, 3:40:18 time: 1.0367 data_time: 0.4620 memory: 32703 grad_norm: 20.9798 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4098 loss: 1.4098 2022/07/30 02:49:35 - mmengine - INFO - Epoch(train) [19][600/2505] lr: 5.0000e-04 eta: 1 day, 3:39:54 time: 0.9228 data_time: 0.3229 memory: 32703 grad_norm: 21.0159 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6513 loss: 1.6513 2022/07/30 02:49:56 - mmengine - INFO - Epoch(train) [19][620/2505] lr: 5.0000e-04 eta: 1 day, 3:39:36 time: 1.0513 data_time: 0.4719 memory: 32703 grad_norm: 20.5457 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5029 loss: 1.5029 2022/07/30 02:50:15 - mmengine - INFO - Epoch(train) [19][640/2505] lr: 5.0000e-04 eta: 1 day, 3:39:15 time: 0.9638 data_time: 0.3471 memory: 32703 grad_norm: 20.2398 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4937 loss: 1.4937 2022/07/30 02:50:36 - mmengine - INFO - Epoch(train) [19][660/2505] lr: 5.0000e-04 eta: 1 day, 3:38:55 time: 1.0133 data_time: 0.4294 memory: 32703 grad_norm: 21.0183 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4483 loss: 1.4483 2022/07/30 02:50:55 - mmengine - INFO - Epoch(train) [19][680/2505] lr: 5.0000e-04 eta: 1 day, 3:38:34 time: 0.9706 data_time: 0.3946 memory: 32703 grad_norm: 20.9216 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4624 loss: 1.4624 2022/07/30 02:51:17 - mmengine - INFO - Epoch(train) [19][700/2505] lr: 5.0000e-04 eta: 1 day, 3:38:19 time: 1.1032 data_time: 0.4952 memory: 32703 grad_norm: 20.9833 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6332 loss: 1.6332 2022/07/30 02:51:34 - mmengine - INFO - Epoch(train) [19][720/2505] lr: 5.0000e-04 eta: 1 day, 3:37:52 time: 0.8363 data_time: 0.2534 memory: 32703 grad_norm: 21.7844 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3264 loss: 1.3264 2022/07/30 02:51:56 - mmengine - INFO - Epoch(train) [19][740/2505] lr: 5.0000e-04 eta: 1 day, 3:37:37 time: 1.1172 data_time: 0.5036 memory: 32703 grad_norm: 20.8603 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7644 loss: 1.7644 2022/07/30 02:52:15 - mmengine - INFO - Epoch(train) [19][760/2505] lr: 5.0000e-04 eta: 1 day, 3:37:13 time: 0.9237 data_time: 0.3079 memory: 32703 grad_norm: 20.3039 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7992 loss: 1.7992 2022/07/30 02:52:36 - mmengine - INFO - Epoch(train) [19][780/2505] lr: 5.0000e-04 eta: 1 day, 3:36:57 time: 1.0771 data_time: 0.4638 memory: 32703 grad_norm: 19.5348 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7204 loss: 1.7204 2022/07/30 02:52:54 - mmengine - INFO - Epoch(train) [19][800/2505] lr: 5.0000e-04 eta: 1 day, 3:36:31 time: 0.8764 data_time: 0.2805 memory: 32703 grad_norm: 20.3103 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6772 loss: 1.6772 2022/07/30 02:53:15 - mmengine - INFO - Epoch(train) [19][820/2505] lr: 5.0000e-04 eta: 1 day, 3:36:15 time: 1.0756 data_time: 0.4656 memory: 32703 grad_norm: 20.9189 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7653 loss: 1.7653 2022/07/30 02:53:34 - mmengine - INFO - Epoch(train) [19][840/2505] lr: 5.0000e-04 eta: 1 day, 3:35:52 time: 0.9372 data_time: 0.3208 memory: 32703 grad_norm: 20.4549 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7473 loss: 1.7473 2022/07/30 02:53:53 - mmengine - INFO - Epoch(train) [19][860/2505] lr: 5.0000e-04 eta: 1 day, 3:35:30 time: 0.9576 data_time: 0.3733 memory: 32703 grad_norm: 21.2938 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7156 loss: 1.7156 2022/07/30 02:54:12 - mmengine - INFO - Epoch(train) [19][880/2505] lr: 5.0000e-04 eta: 1 day, 3:35:07 time: 0.9189 data_time: 0.3441 memory: 32703 grad_norm: 21.3336 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4596 loss: 1.4596 2022/07/30 02:54:34 - mmengine - INFO - Epoch(train) [19][900/2505] lr: 5.0000e-04 eta: 1 day, 3:34:51 time: 1.1125 data_time: 0.4902 memory: 32703 grad_norm: 20.6497 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4710 loss: 1.4710 2022/07/30 02:54:42 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 02:54:51 - mmengine - INFO - Epoch(train) [19][920/2505] lr: 5.0000e-04 eta: 1 day, 3:34:26 time: 0.8674 data_time: 0.2938 memory: 32703 grad_norm: 20.4485 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4683 loss: 1.4683 2022/07/30 02:55:13 - mmengine - INFO - Epoch(train) [19][940/2505] lr: 5.0000e-04 eta: 1 day, 3:34:09 time: 1.0735 data_time: 0.4542 memory: 32703 grad_norm: 19.8457 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3720 loss: 1.3720 2022/07/30 02:55:30 - mmengine - INFO - Epoch(train) [19][960/2505] lr: 5.0000e-04 eta: 1 day, 3:33:44 time: 0.8902 data_time: 0.2925 memory: 32703 grad_norm: 20.9113 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4465 loss: 1.4465 2022/07/30 02:55:52 - mmengine - INFO - Epoch(train) [19][980/2505] lr: 5.0000e-04 eta: 1 day, 3:33:27 time: 1.0578 data_time: 0.4660 memory: 32703 grad_norm: 19.5391 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5354 loss: 1.5354 2022/07/30 02:56:10 - mmengine - INFO - Epoch(train) [19][1000/2505] lr: 5.0000e-04 eta: 1 day, 3:33:02 time: 0.8992 data_time: 0.3270 memory: 32703 grad_norm: 20.7440 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5643 loss: 1.5643 2022/07/30 02:56:31 - mmengine - INFO - Epoch(train) [19][1020/2505] lr: 5.0000e-04 eta: 1 day, 3:32:46 time: 1.0952 data_time: 0.5178 memory: 32703 grad_norm: 20.9425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6561 loss: 1.6561 2022/07/30 02:56:50 - mmengine - INFO - Epoch(train) [19][1040/2505] lr: 5.0000e-04 eta: 1 day, 3:32:23 time: 0.9311 data_time: 0.3594 memory: 32703 grad_norm: 20.8819 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.4993 loss: 1.4993 2022/07/30 02:57:11 - mmengine - INFO - Epoch(train) [19][1060/2505] lr: 5.0000e-04 eta: 1 day, 3:32:06 time: 1.0481 data_time: 0.4590 memory: 32703 grad_norm: 20.9567 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6298 loss: 1.6298 2022/07/30 02:57:29 - mmengine - INFO - Epoch(train) [19][1080/2505] lr: 5.0000e-04 eta: 1 day, 3:31:42 time: 0.9088 data_time: 0.2675 memory: 32703 grad_norm: 20.3056 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4329 loss: 1.4329 2022/07/30 02:57:51 - mmengine - INFO - Epoch(train) [19][1100/2505] lr: 5.0000e-04 eta: 1 day, 3:31:24 time: 1.0655 data_time: 0.3388 memory: 32703 grad_norm: 20.5425 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.2599 loss: 1.2599 2022/07/30 02:58:09 - mmengine - INFO - Epoch(train) [19][1120/2505] lr: 5.0000e-04 eta: 1 day, 3:31:01 time: 0.9099 data_time: 0.2862 memory: 32703 grad_norm: 20.4250 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4467 loss: 1.4467 2022/07/30 02:58:29 - mmengine - INFO - Epoch(train) [19][1140/2505] lr: 5.0000e-04 eta: 1 day, 3:30:42 time: 1.0297 data_time: 0.3895 memory: 32703 grad_norm: 19.4339 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4938 loss: 1.4938 2022/07/30 02:58:48 - mmengine - INFO - Epoch(train) [19][1160/2505] lr: 5.0000e-04 eta: 1 day, 3:30:19 time: 0.9419 data_time: 0.3451 memory: 32703 grad_norm: 19.4541 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3779 loss: 1.3779 2022/07/30 02:59:09 - mmengine - INFO - Epoch(train) [19][1180/2505] lr: 5.0000e-04 eta: 1 day, 3:30:00 time: 1.0209 data_time: 0.4179 memory: 32703 grad_norm: 19.5881 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4548 loss: 1.4548 2022/07/30 02:59:27 - mmengine - INFO - Epoch(train) [19][1200/2505] lr: 5.0000e-04 eta: 1 day, 3:29:38 time: 0.9372 data_time: 0.3285 memory: 32703 grad_norm: 20.0554 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7196 loss: 1.7196 2022/07/30 02:59:48 - mmengine - INFO - Epoch(train) [19][1220/2505] lr: 5.0000e-04 eta: 1 day, 3:29:20 time: 1.0499 data_time: 0.4290 memory: 32703 grad_norm: 19.9963 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1643 loss: 1.1643 2022/07/30 03:00:07 - mmengine - INFO - Epoch(train) [19][1240/2505] lr: 5.0000e-04 eta: 1 day, 3:28:57 time: 0.9367 data_time: 0.2792 memory: 32703 grad_norm: 21.5744 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5401 loss: 1.5401 2022/07/30 03:00:28 - mmengine - INFO - Epoch(train) [19][1260/2505] lr: 5.0000e-04 eta: 1 day, 3:28:40 time: 1.0566 data_time: 0.4524 memory: 32703 grad_norm: 20.0042 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5382 loss: 1.5382 2022/07/30 03:00:47 - mmengine - INFO - Epoch(train) [19][1280/2505] lr: 5.0000e-04 eta: 1 day, 3:28:17 time: 0.9405 data_time: 0.3420 memory: 32703 grad_norm: 20.9005 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4971 loss: 1.4971 2022/07/30 03:01:08 - mmengine - INFO - Epoch(train) [19][1300/2505] lr: 5.0000e-04 eta: 1 day, 3:27:58 time: 1.0334 data_time: 0.4086 memory: 32703 grad_norm: 20.2105 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.4265 loss: 1.4265 2022/07/30 03:01:26 - mmengine - INFO - Epoch(train) [19][1320/2505] lr: 5.0000e-04 eta: 1 day, 3:27:35 time: 0.9074 data_time: 0.1632 memory: 32703 grad_norm: 20.7172 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3696 loss: 1.3696 2022/07/30 03:01:47 - mmengine - INFO - Epoch(train) [19][1340/2505] lr: 5.0000e-04 eta: 1 day, 3:27:16 time: 1.0395 data_time: 0.3985 memory: 32703 grad_norm: 20.4901 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5679 loss: 1.5679 2022/07/30 03:02:06 - mmengine - INFO - Epoch(train) [19][1360/2505] lr: 5.0000e-04 eta: 1 day, 3:26:55 time: 0.9760 data_time: 0.2704 memory: 32703 grad_norm: 19.4401 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4790 loss: 1.4790 2022/07/30 03:02:27 - mmengine - INFO - Epoch(train) [19][1380/2505] lr: 5.0000e-04 eta: 1 day, 3:26:37 time: 1.0497 data_time: 0.4533 memory: 32703 grad_norm: 20.9036 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4028 loss: 1.4028 2022/07/30 03:02:45 - mmengine - INFO - Epoch(train) [19][1400/2505] lr: 5.0000e-04 eta: 1 day, 3:26:13 time: 0.8893 data_time: 0.2764 memory: 32703 grad_norm: 20.7538 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3341 loss: 1.3341 2022/07/30 03:03:06 - mmengine - INFO - Epoch(train) [19][1420/2505] lr: 5.0000e-04 eta: 1 day, 3:25:54 time: 1.0382 data_time: 0.4636 memory: 32703 grad_norm: 20.6145 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3053 loss: 1.3053 2022/07/30 03:03:24 - mmengine - INFO - Epoch(train) [19][1440/2505] lr: 5.0000e-04 eta: 1 day, 3:25:31 time: 0.9251 data_time: 0.3275 memory: 32703 grad_norm: 20.6770 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3780 loss: 1.3780 2022/07/30 03:03:45 - mmengine - INFO - Epoch(train) [19][1460/2505] lr: 5.0000e-04 eta: 1 day, 3:25:13 time: 1.0467 data_time: 0.4750 memory: 32703 grad_norm: 20.7359 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5494 loss: 1.5494 2022/07/30 03:04:04 - mmengine - INFO - Epoch(train) [19][1480/2505] lr: 5.0000e-04 eta: 1 day, 3:24:51 time: 0.9562 data_time: 0.3385 memory: 32703 grad_norm: 20.6866 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.4900 loss: 1.4900 2022/07/30 03:04:26 - mmengine - INFO - Epoch(train) [19][1500/2505] lr: 5.0000e-04 eta: 1 day, 3:24:34 time: 1.0689 data_time: 0.3126 memory: 32703 grad_norm: 19.6687 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6204 loss: 1.6204 2022/07/30 03:04:43 - mmengine - INFO - Epoch(train) [19][1520/2505] lr: 5.0000e-04 eta: 1 day, 3:24:09 time: 0.8688 data_time: 0.0840 memory: 32703 grad_norm: 20.6087 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6273 loss: 1.6273 2022/07/30 03:05:04 - mmengine - INFO - Epoch(train) [19][1540/2505] lr: 5.0000e-04 eta: 1 day, 3:23:49 time: 1.0180 data_time: 0.3235 memory: 32703 grad_norm: 20.9284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4909 loss: 1.4909 2022/07/30 03:05:23 - mmengine - INFO - Epoch(train) [19][1560/2505] lr: 5.0000e-04 eta: 1 day, 3:23:28 time: 0.9566 data_time: 0.3065 memory: 32703 grad_norm: 20.0890 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4233 loss: 1.4233 2022/07/30 03:05:44 - mmengine - INFO - Epoch(train) [19][1580/2505] lr: 5.0000e-04 eta: 1 day, 3:23:10 time: 1.0492 data_time: 0.4136 memory: 32703 grad_norm: 19.9635 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.3658 loss: 1.3658 2022/07/30 03:06:02 - mmengine - INFO - Epoch(train) [19][1600/2505] lr: 5.0000e-04 eta: 1 day, 3:22:46 time: 0.9200 data_time: 0.3205 memory: 32703 grad_norm: 20.0756 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3747 loss: 1.3747 2022/07/30 03:06:23 - mmengine - INFO - Epoch(train) [19][1620/2505] lr: 5.0000e-04 eta: 1 day, 3:22:29 time: 1.0552 data_time: 0.4596 memory: 32703 grad_norm: 21.0106 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4240 loss: 1.4240 2022/07/30 03:06:41 - mmengine - INFO - Epoch(train) [19][1640/2505] lr: 5.0000e-04 eta: 1 day, 3:22:04 time: 0.8925 data_time: 0.3195 memory: 32703 grad_norm: 19.9088 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5249 loss: 1.5249 2022/07/30 03:07:02 - mmengine - INFO - Epoch(train) [19][1660/2505] lr: 5.0000e-04 eta: 1 day, 3:21:47 time: 1.0589 data_time: 0.3833 memory: 32703 grad_norm: 20.4288 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4464 loss: 1.4464 2022/07/30 03:07:20 - mmengine - INFO - Epoch(train) [19][1680/2505] lr: 5.0000e-04 eta: 1 day, 3:21:22 time: 0.8965 data_time: 0.1718 memory: 32703 grad_norm: 20.6695 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5984 loss: 1.5984 2022/07/30 03:07:42 - mmengine - INFO - Epoch(train) [19][1700/2505] lr: 5.0000e-04 eta: 1 day, 3:21:06 time: 1.0944 data_time: 0.1730 memory: 32703 grad_norm: 21.9512 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6648 loss: 1.6648 2022/07/30 03:08:00 - mmengine - INFO - Epoch(train) [19][1720/2505] lr: 5.0000e-04 eta: 1 day, 3:20:42 time: 0.8949 data_time: 0.0682 memory: 32703 grad_norm: 20.6949 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5802 loss: 1.5802 2022/07/30 03:08:22 - mmengine - INFO - Epoch(train) [19][1740/2505] lr: 5.0000e-04 eta: 1 day, 3:20:25 time: 1.0827 data_time: 0.0924 memory: 32703 grad_norm: 21.0228 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6114 loss: 1.6114 2022/07/30 03:08:39 - mmengine - INFO - Epoch(train) [19][1760/2505] lr: 5.0000e-04 eta: 1 day, 3:20:01 time: 0.8959 data_time: 0.0585 memory: 32703 grad_norm: 20.1607 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4735 loss: 1.4735 2022/07/30 03:09:01 - mmengine - INFO - Epoch(train) [19][1780/2505] lr: 5.0000e-04 eta: 1 day, 3:19:44 time: 1.0713 data_time: 0.0322 memory: 32703 grad_norm: 20.5093 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5318 loss: 1.5318 2022/07/30 03:09:19 - mmengine - INFO - Epoch(train) [19][1800/2505] lr: 5.0000e-04 eta: 1 day, 3:19:20 time: 0.9118 data_time: 0.0429 memory: 32703 grad_norm: 20.0624 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1135 loss: 1.1135 2022/07/30 03:09:39 - mmengine - INFO - Epoch(train) [19][1820/2505] lr: 5.0000e-04 eta: 1 day, 3:19:01 time: 1.0149 data_time: 0.0685 memory: 32703 grad_norm: 20.2836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5592 loss: 1.5592 2022/07/30 03:09:59 - mmengine - INFO - Epoch(train) [19][1840/2505] lr: 5.0000e-04 eta: 1 day, 3:18:40 time: 0.9820 data_time: 0.2190 memory: 32703 grad_norm: 20.9037 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3621 loss: 1.3621 2022/07/30 03:10:20 - mmengine - INFO - Epoch(train) [19][1860/2505] lr: 5.0000e-04 eta: 1 day, 3:18:23 time: 1.0560 data_time: 0.1264 memory: 32703 grad_norm: 20.0251 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4493 loss: 1.4493 2022/07/30 03:10:39 - mmengine - INFO - Epoch(train) [19][1880/2505] lr: 5.0000e-04 eta: 1 day, 3:18:00 time: 0.9216 data_time: 0.0286 memory: 32703 grad_norm: 19.6179 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2658 loss: 1.2658 2022/07/30 03:11:00 - mmengine - INFO - Epoch(train) [19][1900/2505] lr: 5.0000e-04 eta: 1 day, 3:17:42 time: 1.0541 data_time: 0.0473 memory: 32703 grad_norm: 20.4282 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5245 loss: 1.5245 2022/07/30 03:11:09 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 03:11:19 - mmengine - INFO - Epoch(train) [19][1920/2505] lr: 5.0000e-04 eta: 1 day, 3:17:20 time: 0.9506 data_time: 0.1362 memory: 32703 grad_norm: 21.0317 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2205 loss: 1.2205 2022/07/30 03:11:39 - mmengine - INFO - Epoch(train) [19][1940/2505] lr: 5.0000e-04 eta: 1 day, 3:17:00 time: 0.9954 data_time: 0.1155 memory: 32703 grad_norm: 20.8393 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5155 loss: 1.5155 2022/07/30 03:11:58 - mmengine - INFO - Epoch(train) [19][1960/2505] lr: 5.0000e-04 eta: 1 day, 3:16:39 time: 0.9834 data_time: 0.2243 memory: 32703 grad_norm: 20.2220 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5816 loss: 1.5816 2022/07/30 03:12:19 - mmengine - INFO - Epoch(train) [19][1980/2505] lr: 5.0000e-04 eta: 1 day, 3:16:21 time: 1.0529 data_time: 0.0736 memory: 32703 grad_norm: 21.0235 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4702 loss: 1.4702 2022/07/30 03:12:38 - mmengine - INFO - Epoch(train) [19][2000/2505] lr: 5.0000e-04 eta: 1 day, 3:15:59 time: 0.9372 data_time: 0.0332 memory: 32703 grad_norm: 19.9196 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6226 loss: 1.6226 2022/07/30 03:12:59 - mmengine - INFO - Epoch(train) [19][2020/2505] lr: 5.0000e-04 eta: 1 day, 3:15:40 time: 1.0366 data_time: 0.0282 memory: 32703 grad_norm: 20.2675 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.3428 loss: 1.3428 2022/07/30 03:13:17 - mmengine - INFO - Epoch(train) [19][2040/2505] lr: 5.0000e-04 eta: 1 day, 3:15:17 time: 0.9277 data_time: 0.0275 memory: 32703 grad_norm: 21.1461 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3906 loss: 1.3906 2022/07/30 03:13:39 - mmengine - INFO - Epoch(train) [19][2060/2505] lr: 5.0000e-04 eta: 1 day, 3:15:01 time: 1.0994 data_time: 0.0292 memory: 32703 grad_norm: 20.4367 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3621 loss: 1.3621 2022/07/30 03:13:55 - mmengine - INFO - Epoch(train) [19][2080/2505] lr: 5.0000e-04 eta: 1 day, 3:14:33 time: 0.7943 data_time: 0.0300 memory: 32703 grad_norm: 20.3493 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4931 loss: 1.4931 2022/07/30 03:14:16 - mmengine - INFO - Epoch(train) [19][2100/2505] lr: 5.0000e-04 eta: 1 day, 3:14:15 time: 1.0434 data_time: 0.0293 memory: 32703 grad_norm: 20.4875 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4790 loss: 1.4790 2022/07/30 03:14:35 - mmengine - INFO - Epoch(train) [19][2120/2505] lr: 5.0000e-04 eta: 1 day, 3:13:53 time: 0.9551 data_time: 0.0295 memory: 32703 grad_norm: 20.1680 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7539 loss: 1.7539 2022/07/30 03:14:55 - mmengine - INFO - Epoch(train) [19][2140/2505] lr: 5.0000e-04 eta: 1 day, 3:13:33 time: 1.0114 data_time: 0.0277 memory: 32703 grad_norm: 20.7576 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.4412 loss: 1.4412 2022/07/30 03:15:15 - mmengine - INFO - Epoch(train) [19][2160/2505] lr: 5.0000e-04 eta: 1 day, 3:13:12 time: 0.9775 data_time: 0.0266 memory: 32703 grad_norm: 19.9173 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5093 loss: 1.5093 2022/07/30 03:15:37 - mmengine - INFO - Epoch(train) [19][2180/2505] lr: 5.0000e-04 eta: 1 day, 3:12:57 time: 1.1039 data_time: 0.0266 memory: 32703 grad_norm: 20.7825 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7183 loss: 1.7183 2022/07/30 03:15:54 - mmengine - INFO - Epoch(train) [19][2200/2505] lr: 5.0000e-04 eta: 1 day, 3:12:31 time: 0.8614 data_time: 0.0275 memory: 32703 grad_norm: 20.2943 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5286 loss: 1.5286 2022/07/30 03:16:16 - mmengine - INFO - Epoch(train) [19][2220/2505] lr: 5.0000e-04 eta: 1 day, 3:12:15 time: 1.0877 data_time: 0.0286 memory: 32703 grad_norm: 19.6979 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4049 loss: 1.4049 2022/07/30 03:16:33 - mmengine - INFO - Epoch(train) [19][2240/2505] lr: 5.0000e-04 eta: 1 day, 3:11:48 time: 0.8459 data_time: 0.0268 memory: 32703 grad_norm: 21.0283 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4106 loss: 1.4106 2022/07/30 03:16:55 - mmengine - INFO - Epoch(train) [19][2260/2505] lr: 5.0000e-04 eta: 1 day, 3:11:33 time: 1.1062 data_time: 0.0267 memory: 32703 grad_norm: 19.8258 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3931 loss: 1.3931 2022/07/30 03:17:13 - mmengine - INFO - Epoch(train) [19][2280/2505] lr: 5.0000e-04 eta: 1 day, 3:11:08 time: 0.8831 data_time: 0.0904 memory: 32703 grad_norm: 20.5601 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6350 loss: 1.6350 2022/07/30 03:17:35 - mmengine - INFO - Epoch(train) [19][2300/2505] lr: 5.0000e-04 eta: 1 day, 3:10:52 time: 1.1029 data_time: 0.1310 memory: 32703 grad_norm: 21.8988 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4643 loss: 1.4643 2022/07/30 03:17:52 - mmengine - INFO - Epoch(train) [19][2320/2505] lr: 5.0000e-04 eta: 1 day, 3:10:27 time: 0.8753 data_time: 0.1018 memory: 32703 grad_norm: 20.1382 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4171 loss: 1.4171 2022/07/30 03:18:13 - mmengine - INFO - Epoch(train) [19][2340/2505] lr: 5.0000e-04 eta: 1 day, 3:10:09 time: 1.0405 data_time: 0.1676 memory: 32703 grad_norm: 21.0430 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4444 loss: 1.4444 2022/07/30 03:18:32 - mmengine - INFO - Epoch(train) [19][2360/2505] lr: 5.0000e-04 eta: 1 day, 3:09:45 time: 0.9172 data_time: 0.1181 memory: 32703 grad_norm: 19.8311 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6089 loss: 1.6089 2022/07/30 03:18:53 - mmengine - INFO - Epoch(train) [19][2380/2505] lr: 5.0000e-04 eta: 1 day, 3:09:28 time: 1.0591 data_time: 0.0625 memory: 32703 grad_norm: 20.3004 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5329 loss: 1.5329 2022/07/30 03:19:11 - mmengine - INFO - Epoch(train) [19][2400/2505] lr: 5.0000e-04 eta: 1 day, 3:09:04 time: 0.9145 data_time: 0.0671 memory: 32703 grad_norm: 19.8397 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2763 loss: 1.2763 2022/07/30 03:19:32 - mmengine - INFO - Epoch(train) [19][2420/2505] lr: 5.0000e-04 eta: 1 day, 3:08:47 time: 1.0625 data_time: 0.0507 memory: 32703 grad_norm: 20.9950 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4139 loss: 1.4139 2022/07/30 03:19:52 - mmengine - INFO - Epoch(train) [19][2440/2505] lr: 5.0000e-04 eta: 1 day, 3:08:26 time: 0.9738 data_time: 0.2003 memory: 32703 grad_norm: 20.6867 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4714 loss: 1.4714 2022/07/30 03:20:13 - mmengine - INFO - Epoch(train) [19][2460/2505] lr: 5.0000e-04 eta: 1 day, 3:08:09 time: 1.0634 data_time: 0.1684 memory: 32703 grad_norm: 20.2200 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6006 loss: 1.6006 2022/07/30 03:20:32 - mmengine - INFO - Epoch(train) [19][2480/2505] lr: 5.0000e-04 eta: 1 day, 3:07:47 time: 0.9659 data_time: 0.2364 memory: 32703 grad_norm: 19.9578 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8179 loss: 1.8179 2022/07/30 03:20:49 - mmengine - INFO - Epoch(train) [19][2500/2505] lr: 5.0000e-04 eta: 1 day, 3:07:21 time: 0.8519 data_time: 0.2208 memory: 32703 grad_norm: 20.2302 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3588 loss: 1.3588 2022/07/30 03:20:52 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 03:20:52 - mmengine - INFO - Epoch(train) [19][2505/2505] lr: 5.0000e-04 eta: 1 day, 3:07:21 time: 0.8016 data_time: 0.2144 memory: 32703 grad_norm: 20.1739 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.5072 loss: 1.5072 2022/07/30 03:21:19 - mmengine - INFO - Epoch(train) [20][20/2505] lr: 5.0000e-04 eta: 1 day, 3:07:00 time: 1.3520 data_time: 0.6488 memory: 32703 grad_norm: 19.5305 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3792 loss: 1.3792 2022/07/30 03:21:38 - mmengine - INFO - Epoch(train) [20][40/2505] lr: 5.0000e-04 eta: 1 day, 3:06:38 time: 0.9431 data_time: 0.2403 memory: 32703 grad_norm: 20.0835 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4759 loss: 1.4759 2022/07/30 03:21:59 - mmengine - INFO - Epoch(train) [20][60/2505] lr: 5.0000e-04 eta: 1 day, 3:06:21 time: 1.0655 data_time: 0.2634 memory: 32703 grad_norm: 20.0237 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6202 loss: 1.6202 2022/07/30 03:22:19 - mmengine - INFO - Epoch(train) [20][80/2505] lr: 5.0000e-04 eta: 1 day, 3:05:59 time: 0.9596 data_time: 0.1370 memory: 32703 grad_norm: 19.7022 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6169 loss: 1.6169 2022/07/30 03:22:39 - mmengine - INFO - Epoch(train) [20][100/2505] lr: 5.0000e-04 eta: 1 day, 3:05:40 time: 1.0268 data_time: 0.1661 memory: 32703 grad_norm: 19.6238 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6766 loss: 1.6766 2022/07/30 03:22:58 - mmengine - INFO - Epoch(train) [20][120/2505] lr: 5.0000e-04 eta: 1 day, 3:05:17 time: 0.9257 data_time: 0.1335 memory: 32703 grad_norm: 20.0597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2828 loss: 1.2828 2022/07/30 03:23:19 - mmengine - INFO - Epoch(train) [20][140/2505] lr: 5.0000e-04 eta: 1 day, 3:05:00 time: 1.0722 data_time: 0.2523 memory: 32703 grad_norm: 20.0631 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4875 loss: 1.4875 2022/07/30 03:23:38 - mmengine - INFO - Epoch(train) [20][160/2505] lr: 5.0000e-04 eta: 1 day, 3:04:38 time: 0.9467 data_time: 0.1269 memory: 32703 grad_norm: 20.9507 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7388 loss: 1.7388 2022/07/30 03:23:59 - mmengine - INFO - Epoch(train) [20][180/2505] lr: 5.0000e-04 eta: 1 day, 3:04:19 time: 1.0272 data_time: 0.1803 memory: 32703 grad_norm: 20.7483 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9121 loss: 1.9121 2022/07/30 03:24:17 - mmengine - INFO - Epoch(train) [20][200/2505] lr: 5.0000e-04 eta: 1 day, 3:03:56 time: 0.9292 data_time: 0.1201 memory: 32703 grad_norm: 20.5765 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3804 loss: 1.3804 2022/07/30 03:24:39 - mmengine - INFO - Epoch(train) [20][220/2505] lr: 5.0000e-04 eta: 1 day, 3:03:40 time: 1.0949 data_time: 0.0838 memory: 32703 grad_norm: 20.9216 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3285 loss: 1.3285 2022/07/30 03:24:57 - mmengine - INFO - Epoch(train) [20][240/2505] lr: 5.0000e-04 eta: 1 day, 3:03:17 time: 0.9054 data_time: 0.0296 memory: 32703 grad_norm: 19.8815 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4379 loss: 1.4379 2022/07/30 03:25:19 - mmengine - INFO - Epoch(train) [20][260/2505] lr: 5.0000e-04 eta: 1 day, 3:03:00 time: 1.0952 data_time: 0.0284 memory: 32703 grad_norm: 20.0519 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2237 loss: 1.2237 2022/07/30 03:25:38 - mmengine - INFO - Epoch(train) [20][280/2505] lr: 5.0000e-04 eta: 1 day, 3:02:37 time: 0.9226 data_time: 0.0280 memory: 32703 grad_norm: 19.8595 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3226 loss: 1.3226 2022/07/30 03:25:59 - mmengine - INFO - Epoch(train) [20][300/2505] lr: 5.0000e-04 eta: 1 day, 3:02:21 time: 1.0843 data_time: 0.0312 memory: 32703 grad_norm: 19.7156 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6571 loss: 1.6571 2022/07/30 03:26:17 - mmengine - INFO - Epoch(train) [20][320/2505] lr: 5.0000e-04 eta: 1 day, 3:01:56 time: 0.8852 data_time: 0.0307 memory: 32703 grad_norm: 20.1982 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7552 loss: 1.7552 2022/07/30 03:26:39 - mmengine - INFO - Epoch(train) [20][340/2505] lr: 5.0000e-04 eta: 1 day, 3:01:41 time: 1.1143 data_time: 0.0302 memory: 32703 grad_norm: 20.4597 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4109 loss: 1.4109 2022/07/30 03:26:57 - mmengine - INFO - Epoch(train) [20][360/2505] lr: 5.0000e-04 eta: 1 day, 3:01:16 time: 0.8709 data_time: 0.0294 memory: 32703 grad_norm: 20.3526 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4215 loss: 1.4215 2022/07/30 03:27:18 - mmengine - INFO - Epoch(train) [20][380/2505] lr: 5.0000e-04 eta: 1 day, 3:00:59 time: 1.0757 data_time: 0.0291 memory: 32703 grad_norm: 20.6455 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5780 loss: 1.5780 2022/07/30 03:27:36 - mmengine - INFO - Epoch(train) [20][400/2505] lr: 5.0000e-04 eta: 1 day, 3:00:34 time: 0.8738 data_time: 0.0322 memory: 32703 grad_norm: 20.1550 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7580 loss: 1.7580 2022/07/30 03:27:42 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 03:27:58 - mmengine - INFO - Epoch(train) [20][420/2505] lr: 5.0000e-04 eta: 1 day, 3:00:18 time: 1.0974 data_time: 0.0291 memory: 32703 grad_norm: 20.9406 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4762 loss: 1.4762 2022/07/30 03:28:15 - mmengine - INFO - Epoch(train) [20][440/2505] lr: 5.0000e-04 eta: 1 day, 2:59:52 time: 0.8506 data_time: 0.0292 memory: 32703 grad_norm: 20.4040 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.5265 loss: 1.5265 2022/07/30 03:28:37 - mmengine - INFO - Epoch(train) [20][460/2505] lr: 5.0000e-04 eta: 1 day, 2:59:36 time: 1.1044 data_time: 0.0281 memory: 32703 grad_norm: 20.7059 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3358 loss: 1.3358 2022/07/30 03:28:54 - mmengine - INFO - Epoch(train) [20][480/2505] lr: 5.0000e-04 eta: 1 day, 2:59:11 time: 0.8892 data_time: 0.0279 memory: 32703 grad_norm: 19.9237 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3606 loss: 1.3606 2022/07/30 03:29:15 - mmengine - INFO - Epoch(train) [20][500/2505] lr: 5.0000e-04 eta: 1 day, 2:58:53 time: 1.0298 data_time: 0.0266 memory: 32703 grad_norm: 20.4791 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3962 loss: 1.3962 2022/07/30 03:29:33 - mmengine - INFO - Epoch(train) [20][520/2505] lr: 5.0000e-04 eta: 1 day, 2:58:28 time: 0.8754 data_time: 0.0302 memory: 32703 grad_norm: 20.3635 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3674 loss: 1.3674 2022/07/30 03:29:53 - mmengine - INFO - Epoch(train) [20][540/2505] lr: 5.0000e-04 eta: 1 day, 2:58:09 time: 1.0363 data_time: 0.0275 memory: 32703 grad_norm: 20.5612 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4478 loss: 1.4478 2022/07/30 03:30:12 - mmengine - INFO - Epoch(train) [20][560/2505] lr: 5.0000e-04 eta: 1 day, 2:57:46 time: 0.9125 data_time: 0.0313 memory: 32703 grad_norm: 21.4211 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5917 loss: 1.5917 2022/07/30 03:30:34 - mmengine - INFO - Epoch(train) [20][580/2505] lr: 5.0000e-04 eta: 1 day, 2:57:30 time: 1.1056 data_time: 0.0285 memory: 32703 grad_norm: 19.6021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6109 loss: 1.6109 2022/07/30 03:30:52 - mmengine - INFO - Epoch(train) [20][600/2505] lr: 5.0000e-04 eta: 1 day, 2:57:06 time: 0.9097 data_time: 0.0283 memory: 32703 grad_norm: 19.5491 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5288 loss: 1.5288 2022/07/30 03:31:13 - mmengine - INFO - Epoch(train) [20][620/2505] lr: 5.0000e-04 eta: 1 day, 2:56:49 time: 1.0593 data_time: 0.0271 memory: 32703 grad_norm: 19.8075 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4809 loss: 1.4809 2022/07/30 03:31:31 - mmengine - INFO - Epoch(train) [20][640/2505] lr: 5.0000e-04 eta: 1 day, 2:56:25 time: 0.9141 data_time: 0.0268 memory: 32703 grad_norm: 19.1013 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.4436 loss: 1.4436 2022/07/30 03:31:52 - mmengine - INFO - Epoch(train) [20][660/2505] lr: 5.0000e-04 eta: 1 day, 2:56:07 time: 1.0359 data_time: 0.0346 memory: 32703 grad_norm: 20.8302 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5071 loss: 1.5071 2022/07/30 03:32:10 - mmengine - INFO - Epoch(train) [20][680/2505] lr: 5.0000e-04 eta: 1 day, 2:55:44 time: 0.9170 data_time: 0.0291 memory: 32703 grad_norm: 20.1018 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2440 loss: 1.2440 2022/07/30 03:32:32 - mmengine - INFO - Epoch(train) [20][700/2505] lr: 5.0000e-04 eta: 1 day, 2:55:26 time: 1.0607 data_time: 0.0345 memory: 32703 grad_norm: 19.8079 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.3403 loss: 1.3403 2022/07/30 03:32:51 - mmengine - INFO - Epoch(train) [20][720/2505] lr: 5.0000e-04 eta: 1 day, 2:55:04 time: 0.9522 data_time: 0.0290 memory: 32703 grad_norm: 20.4824 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4609 loss: 1.4609 2022/07/30 03:33:11 - mmengine - INFO - Epoch(train) [20][740/2505] lr: 5.0000e-04 eta: 1 day, 2:54:46 time: 1.0387 data_time: 0.0309 memory: 32703 grad_norm: 20.2066 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6670 loss: 1.6670 2022/07/30 03:33:30 - mmengine - INFO - Epoch(train) [20][760/2505] lr: 5.0000e-04 eta: 1 day, 2:54:23 time: 0.9170 data_time: 0.0288 memory: 32703 grad_norm: 20.0128 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3527 loss: 1.3527 2022/07/30 03:33:51 - mmengine - INFO - Epoch(train) [20][780/2505] lr: 5.0000e-04 eta: 1 day, 2:54:04 time: 1.0370 data_time: 0.0314 memory: 32703 grad_norm: 19.9565 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4259 loss: 1.4259 2022/07/30 03:34:10 - mmengine - INFO - Epoch(train) [20][800/2505] lr: 5.0000e-04 eta: 1 day, 2:53:44 time: 0.9937 data_time: 0.0303 memory: 32703 grad_norm: 19.9148 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5634 loss: 1.5634 2022/07/30 03:34:31 - mmengine - INFO - Epoch(train) [20][820/2505] lr: 5.0000e-04 eta: 1 day, 2:53:24 time: 1.0131 data_time: 0.0301 memory: 32703 grad_norm: 19.9864 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5037 loss: 1.5037 2022/07/30 03:34:49 - mmengine - INFO - Epoch(train) [20][840/2505] lr: 5.0000e-04 eta: 1 day, 2:53:02 time: 0.9288 data_time: 0.0313 memory: 32703 grad_norm: 20.4943 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6368 loss: 1.6368 2022/07/30 03:35:11 - mmengine - INFO - Epoch(train) [20][860/2505] lr: 5.0000e-04 eta: 1 day, 2:52:45 time: 1.0833 data_time: 0.0312 memory: 32703 grad_norm: 20.1868 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3746 loss: 1.3746 2022/07/30 03:35:30 - mmengine - INFO - Epoch(train) [20][880/2505] lr: 5.0000e-04 eta: 1 day, 2:52:22 time: 0.9276 data_time: 0.0302 memory: 32703 grad_norm: 19.7250 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4230 loss: 1.4230 2022/07/30 03:35:52 - mmengine - INFO - Epoch(train) [20][900/2505] lr: 5.0000e-04 eta: 1 day, 2:52:07 time: 1.1128 data_time: 0.0305 memory: 32703 grad_norm: 20.1285 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4502 loss: 1.4502 2022/07/30 03:36:09 - mmengine - INFO - Epoch(train) [20][920/2505] lr: 5.0000e-04 eta: 1 day, 2:51:42 time: 0.8706 data_time: 0.0310 memory: 32703 grad_norm: 20.5149 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4538 loss: 1.4538 2022/07/30 03:36:30 - mmengine - INFO - Epoch(train) [20][940/2505] lr: 5.0000e-04 eta: 1 day, 2:51:24 time: 1.0647 data_time: 0.0326 memory: 32703 grad_norm: 20.0984 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3556 loss: 1.3556 2022/07/30 03:36:48 - mmengine - INFO - Epoch(train) [20][960/2505] lr: 5.0000e-04 eta: 1 day, 2:51:00 time: 0.8939 data_time: 0.0309 memory: 32703 grad_norm: 21.0047 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6688 loss: 1.6688 2022/07/30 03:37:09 - mmengine - INFO - Epoch(train) [20][980/2505] lr: 5.0000e-04 eta: 1 day, 2:50:42 time: 1.0516 data_time: 0.0284 memory: 32703 grad_norm: 20.7381 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3535 loss: 1.3535 2022/07/30 03:37:28 - mmengine - INFO - Epoch(train) [20][1000/2505] lr: 5.0000e-04 eta: 1 day, 2:50:19 time: 0.9214 data_time: 0.0299 memory: 32703 grad_norm: 20.1802 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4349 loss: 1.4349 2022/07/30 03:37:49 - mmengine - INFO - Epoch(train) [20][1020/2505] lr: 5.0000e-04 eta: 1 day, 2:50:01 time: 1.0538 data_time: 0.0350 memory: 32703 grad_norm: 19.6979 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5940 loss: 1.5940 2022/07/30 03:38:07 - mmengine - INFO - Epoch(train) [20][1040/2505] lr: 5.0000e-04 eta: 1 day, 2:49:38 time: 0.9168 data_time: 0.0260 memory: 32703 grad_norm: 20.0196 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4132 loss: 1.4132 2022/07/30 03:38:29 - mmengine - INFO - Epoch(train) [20][1060/2505] lr: 5.0000e-04 eta: 1 day, 2:49:21 time: 1.0855 data_time: 0.0300 memory: 32703 grad_norm: 21.2838 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3313 loss: 1.3313 2022/07/30 03:38:47 - mmengine - INFO - Epoch(train) [20][1080/2505] lr: 5.0000e-04 eta: 1 day, 2:48:57 time: 0.8838 data_time: 0.0291 memory: 32703 grad_norm: 19.7707 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2507 loss: 1.2507 2022/07/30 03:39:07 - mmengine - INFO - Epoch(train) [20][1100/2505] lr: 5.0000e-04 eta: 1 day, 2:48:38 time: 1.0339 data_time: 0.0275 memory: 32703 grad_norm: 20.4885 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7089 loss: 1.7089 2022/07/30 03:39:25 - mmengine - INFO - Epoch(train) [20][1120/2505] lr: 5.0000e-04 eta: 1 day, 2:48:14 time: 0.8833 data_time: 0.0296 memory: 32703 grad_norm: 19.7696 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6393 loss: 1.6393 2022/07/30 03:39:46 - mmengine - INFO - Epoch(train) [20][1140/2505] lr: 5.0000e-04 eta: 1 day, 2:47:56 time: 1.0643 data_time: 0.0309 memory: 32703 grad_norm: 20.0902 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6202 loss: 1.6202 2022/07/30 03:40:04 - mmengine - INFO - Epoch(train) [20][1160/2505] lr: 5.0000e-04 eta: 1 day, 2:47:32 time: 0.8848 data_time: 0.0313 memory: 32703 grad_norm: 20.5854 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3582 loss: 1.3582 2022/07/30 03:40:27 - mmengine - INFO - Epoch(train) [20][1180/2505] lr: 5.0000e-04 eta: 1 day, 2:47:17 time: 1.1294 data_time: 0.0294 memory: 32703 grad_norm: 20.0850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6022 loss: 1.6022 2022/07/30 03:40:44 - mmengine - INFO - Epoch(train) [20][1200/2505] lr: 5.0000e-04 eta: 1 day, 2:46:53 time: 0.8953 data_time: 0.0288 memory: 32703 grad_norm: 20.2656 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3545 loss: 1.3545 2022/07/30 03:41:05 - mmengine - INFO - Epoch(train) [20][1220/2505] lr: 5.0000e-04 eta: 1 day, 2:46:35 time: 1.0420 data_time: 0.0280 memory: 32703 grad_norm: 20.0175 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4966 loss: 1.4966 2022/07/30 03:41:24 - mmengine - INFO - Epoch(train) [20][1240/2505] lr: 5.0000e-04 eta: 1 day, 2:46:11 time: 0.9182 data_time: 0.0268 memory: 32703 grad_norm: 19.8228 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4456 loss: 1.4456 2022/07/30 03:41:45 - mmengine - INFO - Epoch(train) [20][1260/2505] lr: 5.0000e-04 eta: 1 day, 2:45:55 time: 1.0816 data_time: 0.0295 memory: 32703 grad_norm: 20.3960 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5773 loss: 1.5773 2022/07/30 03:42:04 - mmengine - INFO - Epoch(train) [20][1280/2505] lr: 5.0000e-04 eta: 1 day, 2:45:32 time: 0.9344 data_time: 0.0267 memory: 32703 grad_norm: 19.8666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2667 loss: 1.2667 2022/07/30 03:42:25 - mmengine - INFO - Epoch(train) [20][1300/2505] lr: 5.0000e-04 eta: 1 day, 2:45:14 time: 1.0389 data_time: 0.0313 memory: 32703 grad_norm: 20.0132 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3250 loss: 1.3250 2022/07/30 03:42:43 - mmengine - INFO - Epoch(train) [20][1320/2505] lr: 5.0000e-04 eta: 1 day, 2:44:50 time: 0.9181 data_time: 0.0293 memory: 32703 grad_norm: 21.1830 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.5077 loss: 1.5077 2022/07/30 03:43:04 - mmengine - INFO - Epoch(train) [20][1340/2505] lr: 5.0000e-04 eta: 1 day, 2:44:33 time: 1.0656 data_time: 0.0294 memory: 32703 grad_norm: 19.9660 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4950 loss: 1.4950 2022/07/30 03:43:24 - mmengine - INFO - Epoch(train) [20][1360/2505] lr: 5.0000e-04 eta: 1 day, 2:44:12 time: 0.9617 data_time: 0.0263 memory: 32703 grad_norm: 20.1426 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3423 loss: 1.3423 2022/07/30 03:43:43 - mmengine - INFO - Epoch(train) [20][1380/2505] lr: 5.0000e-04 eta: 1 day, 2:43:51 time: 0.9704 data_time: 0.0302 memory: 32703 grad_norm: 22.0882 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4845 loss: 1.4845 2022/07/30 03:44:00 - mmengine - INFO - Epoch(train) [20][1400/2505] lr: 5.0000e-04 eta: 1 day, 2:43:25 time: 0.8653 data_time: 0.0286 memory: 32703 grad_norm: 20.3504 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6231 loss: 1.6231 2022/07/30 03:44:06 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 03:44:23 - mmengine - INFO - Epoch(train) [20][1420/2505] lr: 5.0000e-04 eta: 1 day, 2:43:10 time: 1.1067 data_time: 0.0273 memory: 32703 grad_norm: 20.5189 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.5566 loss: 1.5566 2022/07/30 03:44:39 - mmengine - INFO - Epoch(train) [20][1440/2505] lr: 5.0000e-04 eta: 1 day, 2:42:43 time: 0.8413 data_time: 0.0278 memory: 32703 grad_norm: 20.1333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3892 loss: 1.3892 2022/07/30 03:44:59 - mmengine - INFO - Epoch(train) [20][1460/2505] lr: 5.0000e-04 eta: 1 day, 2:42:23 time: 0.9861 data_time: 0.0290 memory: 32703 grad_norm: 19.7669 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5678 loss: 1.5678 2022/07/30 03:45:18 - mmengine - INFO - Epoch(train) [20][1480/2505] lr: 5.0000e-04 eta: 1 day, 2:42:00 time: 0.9349 data_time: 0.0297 memory: 32703 grad_norm: 19.3539 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2804 loss: 1.2804 2022/07/30 03:45:40 - mmengine - INFO - Epoch(train) [20][1500/2505] lr: 5.0000e-04 eta: 1 day, 2:41:44 time: 1.0965 data_time: 0.0284 memory: 32703 grad_norm: 19.6636 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2471 loss: 1.2471 2022/07/30 03:45:57 - mmengine - INFO - Epoch(train) [20][1520/2505] lr: 5.0000e-04 eta: 1 day, 2:41:19 time: 0.8703 data_time: 0.0285 memory: 32703 grad_norm: 19.2596 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4466 loss: 1.4466 2022/07/30 03:46:18 - mmengine - INFO - Epoch(train) [20][1540/2505] lr: 5.0000e-04 eta: 1 day, 2:41:00 time: 1.0246 data_time: 0.0274 memory: 32703 grad_norm: 21.5680 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7026 loss: 1.7026 2022/07/30 03:46:37 - mmengine - INFO - Epoch(train) [20][1560/2505] lr: 5.0000e-04 eta: 1 day, 2:40:39 time: 0.9715 data_time: 0.0266 memory: 32703 grad_norm: 19.6730 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3448 loss: 1.3448 2022/07/30 03:46:59 - mmengine - INFO - Epoch(train) [20][1580/2505] lr: 5.0000e-04 eta: 1 day, 2:40:22 time: 1.0747 data_time: 0.0283 memory: 32703 grad_norm: 19.9760 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5342 loss: 1.5342 2022/07/30 03:47:17 - mmengine - INFO - Epoch(train) [20][1600/2505] lr: 5.0000e-04 eta: 1 day, 2:40:00 time: 0.9427 data_time: 0.1013 memory: 32703 grad_norm: 20.8230 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5680 loss: 1.5680 2022/07/30 03:47:39 - mmengine - INFO - Epoch(train) [20][1620/2505] lr: 5.0000e-04 eta: 1 day, 2:39:43 time: 1.0724 data_time: 0.1254 memory: 32703 grad_norm: 21.0790 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6048 loss: 1.6048 2022/07/30 03:47:57 - mmengine - INFO - Epoch(train) [20][1640/2505] lr: 5.0000e-04 eta: 1 day, 2:39:20 time: 0.9251 data_time: 0.0289 memory: 32703 grad_norm: 19.7355 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1684 loss: 1.1684 2022/07/30 03:48:18 - mmengine - INFO - Epoch(train) [20][1660/2505] lr: 5.0000e-04 eta: 1 day, 2:39:02 time: 1.0380 data_time: 0.0311 memory: 32703 grad_norm: 20.1614 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5106 loss: 1.5106 2022/07/30 03:48:37 - mmengine - INFO - Epoch(train) [20][1680/2505] lr: 5.0000e-04 eta: 1 day, 2:38:39 time: 0.9220 data_time: 0.0314 memory: 32703 grad_norm: 20.4466 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4959 loss: 1.4959 2022/07/30 03:48:57 - mmengine - INFO - Epoch(train) [20][1700/2505] lr: 5.0000e-04 eta: 1 day, 2:38:19 time: 1.0158 data_time: 0.0303 memory: 32703 grad_norm: 20.7230 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6252 loss: 1.6252 2022/07/30 03:49:15 - mmengine - INFO - Epoch(train) [20][1720/2505] lr: 5.0000e-04 eta: 1 day, 2:37:55 time: 0.8973 data_time: 0.0424 memory: 32703 grad_norm: 20.3988 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2869 loss: 1.2869 2022/07/30 03:49:36 - mmengine - INFO - Epoch(train) [20][1740/2505] lr: 5.0000e-04 eta: 1 day, 2:37:37 time: 1.0560 data_time: 0.0343 memory: 32703 grad_norm: 20.8556 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4287 loss: 1.4287 2022/07/30 03:49:55 - mmengine - INFO - Epoch(train) [20][1760/2505] lr: 5.0000e-04 eta: 1 day, 2:37:15 time: 0.9295 data_time: 0.0355 memory: 32703 grad_norm: 21.5855 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7665 loss: 1.7665 2022/07/30 03:50:16 - mmengine - INFO - Epoch(train) [20][1780/2505] lr: 5.0000e-04 eta: 1 day, 2:36:58 time: 1.0831 data_time: 0.0512 memory: 32703 grad_norm: 20.1480 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3721 loss: 1.3721 2022/07/30 03:50:34 - mmengine - INFO - Epoch(train) [20][1800/2505] lr: 5.0000e-04 eta: 1 day, 2:36:34 time: 0.8936 data_time: 0.0350 memory: 32703 grad_norm: 20.1833 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.2643 loss: 1.2643 2022/07/30 03:50:55 - mmengine - INFO - Epoch(train) [20][1820/2505] lr: 5.0000e-04 eta: 1 day, 2:36:16 time: 1.0589 data_time: 0.0635 memory: 32703 grad_norm: 20.4578 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3451 loss: 1.3451 2022/07/30 03:51:14 - mmengine - INFO - Epoch(train) [20][1840/2505] lr: 5.0000e-04 eta: 1 day, 2:35:53 time: 0.9065 data_time: 0.0658 memory: 32703 grad_norm: 20.8018 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4360 loss: 1.4360 2022/07/30 03:51:35 - mmengine - INFO - Epoch(train) [20][1860/2505] lr: 5.0000e-04 eta: 1 day, 2:35:35 time: 1.0656 data_time: 0.1101 memory: 32703 grad_norm: 20.0775 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6221 loss: 1.6221 2022/07/30 03:51:55 - mmengine - INFO - Epoch(train) [20][1880/2505] lr: 5.0000e-04 eta: 1 day, 2:35:15 time: 0.9911 data_time: 0.0258 memory: 32703 grad_norm: 20.0749 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3572 loss: 1.3572 2022/07/30 03:52:15 - mmengine - INFO - Epoch(train) [20][1900/2505] lr: 5.0000e-04 eta: 1 day, 2:34:55 time: 0.9973 data_time: 0.0272 memory: 32703 grad_norm: 20.3592 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5191 loss: 1.5191 2022/07/30 03:52:33 - mmengine - INFO - Epoch(train) [20][1920/2505] lr: 5.0000e-04 eta: 1 day, 2:34:32 time: 0.9086 data_time: 0.0283 memory: 32703 grad_norm: 19.8525 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2884 loss: 1.2884 2022/07/30 03:52:53 - mmengine - INFO - Epoch(train) [20][1940/2505] lr: 5.0000e-04 eta: 1 day, 2:34:12 time: 1.0041 data_time: 0.0266 memory: 32703 grad_norm: 20.2047 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2631 loss: 1.2631 2022/07/30 03:53:12 - mmengine - INFO - Epoch(train) [20][1960/2505] lr: 5.0000e-04 eta: 1 day, 2:33:50 time: 0.9556 data_time: 0.0298 memory: 32703 grad_norm: 20.2178 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3279 loss: 1.3279 2022/07/30 03:53:34 - mmengine - INFO - Epoch(train) [20][1980/2505] lr: 5.0000e-04 eta: 1 day, 2:33:34 time: 1.1098 data_time: 0.0317 memory: 32703 grad_norm: 20.7441 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4909 loss: 1.4909 2022/07/30 03:53:53 - mmengine - INFO - Epoch(train) [20][2000/2505] lr: 5.0000e-04 eta: 1 day, 2:33:13 time: 0.9474 data_time: 0.0305 memory: 32703 grad_norm: 20.6399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5533 loss: 1.5533 2022/07/30 03:54:14 - mmengine - INFO - Epoch(train) [20][2020/2505] lr: 5.0000e-04 eta: 1 day, 2:32:54 time: 1.0379 data_time: 0.1003 memory: 32703 grad_norm: 21.3399 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6213 loss: 1.6213 2022/07/30 03:54:32 - mmengine - INFO - Epoch(train) [20][2040/2505] lr: 5.0000e-04 eta: 1 day, 2:32:30 time: 0.8966 data_time: 0.1248 memory: 32703 grad_norm: 20.8910 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4948 loss: 1.4948 2022/07/30 03:54:52 - mmengine - INFO - Epoch(train) [20][2060/2505] lr: 5.0000e-04 eta: 1 day, 2:32:12 time: 1.0356 data_time: 0.0761 memory: 32703 grad_norm: 20.7797 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6387 loss: 1.6387 2022/07/30 03:55:12 - mmengine - INFO - Epoch(train) [20][2080/2505] lr: 5.0000e-04 eta: 1 day, 2:31:51 time: 0.9770 data_time: 0.1257 memory: 32703 grad_norm: 20.0261 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4919 loss: 1.4919 2022/07/30 03:55:33 - mmengine - INFO - Epoch(train) [20][2100/2505] lr: 5.0000e-04 eta: 1 day, 2:31:32 time: 1.0338 data_time: 0.0274 memory: 32703 grad_norm: 19.8738 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4096 loss: 1.4096 2022/07/30 03:55:52 - mmengine - INFO - Epoch(train) [20][2120/2505] lr: 5.0000e-04 eta: 1 day, 2:31:11 time: 0.9743 data_time: 0.0285 memory: 32703 grad_norm: 20.0642 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6244 loss: 1.6244 2022/07/30 03:56:13 - mmengine - INFO - Epoch(train) [20][2140/2505] lr: 5.0000e-04 eta: 1 day, 2:30:52 time: 1.0159 data_time: 0.0265 memory: 32703 grad_norm: 20.9841 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4625 loss: 1.4625 2022/07/30 03:56:32 - mmengine - INFO - Epoch(train) [20][2160/2505] lr: 5.0000e-04 eta: 1 day, 2:30:31 time: 0.9895 data_time: 0.0283 memory: 32703 grad_norm: 19.9501 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4708 loss: 1.4708 2022/07/30 03:56:52 - mmengine - INFO - Epoch(train) [20][2180/2505] lr: 5.0000e-04 eta: 1 day, 2:30:11 time: 0.9737 data_time: 0.0420 memory: 32703 grad_norm: 19.6649 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3446 loss: 1.3446 2022/07/30 03:57:12 - mmengine - INFO - Epoch(train) [20][2200/2505] lr: 5.0000e-04 eta: 1 day, 2:29:51 time: 1.0092 data_time: 0.0283 memory: 32703 grad_norm: 20.5265 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3487 loss: 1.3487 2022/07/30 03:57:33 - mmengine - INFO - Epoch(train) [20][2220/2505] lr: 5.0000e-04 eta: 1 day, 2:29:34 time: 1.0736 data_time: 0.0287 memory: 32703 grad_norm: 20.5725 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3901 loss: 1.3901 2022/07/30 03:57:51 - mmengine - INFO - Epoch(train) [20][2240/2505] lr: 5.0000e-04 eta: 1 day, 2:29:09 time: 0.8705 data_time: 0.0287 memory: 32703 grad_norm: 19.8887 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4358 loss: 1.4358 2022/07/30 03:58:11 - mmengine - INFO - Epoch(train) [20][2260/2505] lr: 5.0000e-04 eta: 1 day, 2:28:49 time: 1.0115 data_time: 0.0275 memory: 32703 grad_norm: 20.5211 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5440 loss: 1.5440 2022/07/30 03:58:29 - mmengine - INFO - Epoch(train) [20][2280/2505] lr: 5.0000e-04 eta: 1 day, 2:28:26 time: 0.8999 data_time: 0.0279 memory: 32703 grad_norm: 20.3740 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6564 loss: 1.6564 2022/07/30 03:58:50 - mmengine - INFO - Epoch(train) [20][2300/2505] lr: 5.0000e-04 eta: 1 day, 2:28:07 time: 1.0390 data_time: 0.0276 memory: 32703 grad_norm: 19.7736 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6445 loss: 1.6445 2022/07/30 03:59:09 - mmengine - INFO - Epoch(train) [20][2320/2505] lr: 5.0000e-04 eta: 1 day, 2:27:45 time: 0.9346 data_time: 0.0303 memory: 32703 grad_norm: 19.7860 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7002 loss: 1.7002 2022/07/30 03:59:30 - mmengine - INFO - Epoch(train) [20][2340/2505] lr: 5.0000e-04 eta: 1 day, 2:27:28 time: 1.0776 data_time: 0.0279 memory: 32703 grad_norm: 21.2195 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4898 loss: 1.4898 2022/07/30 03:59:49 - mmengine - INFO - Epoch(train) [20][2360/2505] lr: 5.0000e-04 eta: 1 day, 2:27:06 time: 0.9602 data_time: 0.0292 memory: 32703 grad_norm: 20.6589 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7017 loss: 1.7017 2022/07/30 04:00:08 - mmengine - INFO - Epoch(train) [20][2380/2505] lr: 5.0000e-04 eta: 1 day, 2:26:44 time: 0.9378 data_time: 0.0301 memory: 32703 grad_norm: 19.6287 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3460 loss: 1.3460 2022/07/30 04:00:29 - mmengine - INFO - Epoch(train) [20][2400/2505] lr: 5.0000e-04 eta: 1 day, 2:26:26 time: 1.0431 data_time: 0.0323 memory: 32703 grad_norm: 19.7852 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3331 loss: 1.3331 2022/07/30 04:00:33 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 04:00:49 - mmengine - INFO - Epoch(train) [20][2420/2505] lr: 5.0000e-04 eta: 1 day, 2:26:06 time: 1.0116 data_time: 0.0261 memory: 32703 grad_norm: 20.2762 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4809 loss: 1.4809 2022/07/30 04:01:08 - mmengine - INFO - Epoch(train) [20][2440/2505] lr: 5.0000e-04 eta: 1 day, 2:25:44 time: 0.9290 data_time: 0.0286 memory: 32703 grad_norm: 20.2769 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7109 loss: 1.7109 2022/07/30 04:01:30 - mmengine - INFO - Epoch(train) [20][2460/2505] lr: 5.0000e-04 eta: 1 day, 2:25:28 time: 1.1163 data_time: 0.0257 memory: 32703 grad_norm: 20.6146 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2630 loss: 1.2630 2022/07/30 04:01:46 - mmengine - INFO - Epoch(train) [20][2480/2505] lr: 5.0000e-04 eta: 1 day, 2:25:01 time: 0.8145 data_time: 0.0285 memory: 32703 grad_norm: 20.2644 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5731 loss: 1.5731 2022/07/30 04:02:04 - mmengine - INFO - Epoch(train) [20][2500/2505] lr: 5.0000e-04 eta: 1 day, 2:24:37 time: 0.8899 data_time: 0.0268 memory: 32703 grad_norm: 20.5022 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3970 loss: 1.3970 2022/07/30 04:02:07 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 04:02:07 - mmengine - INFO - Epoch(train) [20][2505/2505] lr: 5.0000e-04 eta: 1 day, 2:24:37 time: 0.7256 data_time: 0.0253 memory: 32703 grad_norm: 20.3519 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.3587 loss: 1.3587 2022/07/30 04:02:07 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/07/30 04:02:37 - mmengine - INFO - Epoch(train) [21][20/2505] lr: 5.0000e-04 eta: 1 day, 2:24:13 time: 1.2813 data_time: 0.6730 memory: 32703 grad_norm: 19.9128 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5497 loss: 1.5497 2022/07/30 04:02:56 - mmengine - INFO - Epoch(train) [21][40/2505] lr: 5.0000e-04 eta: 1 day, 2:23:51 time: 0.9316 data_time: 0.3415 memory: 32703 grad_norm: 20.0286 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5020 loss: 1.5020 2022/07/30 04:03:17 - mmengine - INFO - Epoch(train) [21][60/2505] lr: 5.0000e-04 eta: 1 day, 2:23:32 time: 1.0411 data_time: 0.4276 memory: 32703 grad_norm: 20.6922 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5810 loss: 1.5810 2022/07/30 04:03:35 - mmengine - INFO - Epoch(train) [21][80/2505] lr: 5.0000e-04 eta: 1 day, 2:23:10 time: 0.9316 data_time: 0.3222 memory: 32703 grad_norm: 20.0433 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5905 loss: 1.5905 2022/07/30 04:03:57 - mmengine - INFO - Epoch(train) [21][100/2505] lr: 5.0000e-04 eta: 1 day, 2:22:52 time: 1.0595 data_time: 0.4679 memory: 32703 grad_norm: 20.0904 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4199 loss: 1.4199 2022/07/30 04:04:15 - mmengine - INFO - Epoch(train) [21][120/2505] lr: 5.0000e-04 eta: 1 day, 2:22:28 time: 0.8970 data_time: 0.3204 memory: 32703 grad_norm: 21.2679 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5613 loss: 1.5613 2022/07/30 04:04:36 - mmengine - INFO - Epoch(train) [21][140/2505] lr: 5.0000e-04 eta: 1 day, 2:22:11 time: 1.0615 data_time: 0.4744 memory: 32703 grad_norm: 20.0513 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3171 loss: 1.3171 2022/07/30 04:04:54 - mmengine - INFO - Epoch(train) [21][160/2505] lr: 5.0000e-04 eta: 1 day, 2:21:48 time: 0.9310 data_time: 0.3538 memory: 32703 grad_norm: 20.1739 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2999 loss: 1.2999 2022/07/30 04:05:15 - mmengine - INFO - Epoch(train) [21][180/2505] lr: 5.0000e-04 eta: 1 day, 2:21:30 time: 1.0421 data_time: 0.3781 memory: 32703 grad_norm: 20.1470 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3781 loss: 1.3781 2022/07/30 04:05:35 - mmengine - INFO - Epoch(train) [21][200/2505] lr: 5.0000e-04 eta: 1 day, 2:21:09 time: 0.9659 data_time: 0.3331 memory: 32703 grad_norm: 19.7935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5451 loss: 1.5451 2022/07/30 04:05:55 - mmengine - INFO - Epoch(train) [21][220/2505] lr: 5.0000e-04 eta: 1 day, 2:20:50 time: 1.0323 data_time: 0.3744 memory: 32703 grad_norm: 20.0065 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4192 loss: 1.4192 2022/07/30 04:06:14 - mmengine - INFO - Epoch(train) [21][240/2505] lr: 5.0000e-04 eta: 1 day, 2:20:28 time: 0.9462 data_time: 0.2758 memory: 32703 grad_norm: 19.5693 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3154 loss: 1.3154 2022/07/30 04:06:35 - mmengine - INFO - Epoch(train) [21][260/2505] lr: 5.0000e-04 eta: 1 day, 2:20:10 time: 1.0585 data_time: 0.3487 memory: 32703 grad_norm: 20.1045 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1370 loss: 1.1370 2022/07/30 04:06:54 - mmengine - INFO - Epoch(train) [21][280/2505] lr: 5.0000e-04 eta: 1 day, 2:19:48 time: 0.9271 data_time: 0.2022 memory: 32703 grad_norm: 20.3907 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4115 loss: 1.4115 2022/07/30 04:07:15 - mmengine - INFO - Epoch(train) [21][300/2505] lr: 5.0000e-04 eta: 1 day, 2:19:29 time: 1.0331 data_time: 0.2421 memory: 32703 grad_norm: 20.2467 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5695 loss: 1.5695 2022/07/30 04:07:34 - mmengine - INFO - Epoch(train) [21][320/2505] lr: 5.0000e-04 eta: 1 day, 2:19:08 time: 0.9605 data_time: 0.3332 memory: 32703 grad_norm: 19.2188 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4230 loss: 1.4230 2022/07/30 04:07:54 - mmengine - INFO - Epoch(train) [21][340/2505] lr: 5.0000e-04 eta: 1 day, 2:18:48 time: 1.0126 data_time: 0.2881 memory: 32703 grad_norm: 19.8236 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2568 loss: 1.2568 2022/07/30 04:08:13 - mmengine - INFO - Epoch(train) [21][360/2505] lr: 5.0000e-04 eta: 1 day, 2:18:26 time: 0.9407 data_time: 0.2171 memory: 32703 grad_norm: 20.8521 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4497 loss: 1.4497 2022/07/30 04:08:34 - mmengine - INFO - Epoch(train) [21][380/2505] lr: 5.0000e-04 eta: 1 day, 2:18:08 time: 1.0629 data_time: 0.1307 memory: 32703 grad_norm: 19.1441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3348 loss: 1.3348 2022/07/30 04:08:51 - mmengine - INFO - Epoch(train) [21][400/2505] lr: 5.0000e-04 eta: 1 day, 2:17:43 time: 0.8643 data_time: 0.0344 memory: 32703 grad_norm: 19.9961 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5589 loss: 1.5589 2022/07/30 04:09:12 - mmengine - INFO - Epoch(train) [21][420/2505] lr: 5.0000e-04 eta: 1 day, 2:17:25 time: 1.0481 data_time: 0.0272 memory: 32703 grad_norm: 20.0229 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4339 loss: 1.4339 2022/07/30 04:09:31 - mmengine - INFO - Epoch(train) [21][440/2505] lr: 5.0000e-04 eta: 1 day, 2:17:03 time: 0.9295 data_time: 0.0517 memory: 32703 grad_norm: 20.9290 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7100 loss: 1.7100 2022/07/30 04:09:52 - mmengine - INFO - Epoch(train) [21][460/2505] lr: 5.0000e-04 eta: 1 day, 2:16:45 time: 1.0543 data_time: 0.1219 memory: 32703 grad_norm: 20.3365 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6232 loss: 1.6232 2022/07/30 04:10:11 - mmengine - INFO - Epoch(train) [21][480/2505] lr: 5.0000e-04 eta: 1 day, 2:16:23 time: 0.9377 data_time: 0.1181 memory: 32703 grad_norm: 20.4180 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5368 loss: 1.5368 2022/07/30 04:10:33 - mmengine - INFO - Epoch(train) [21][500/2505] lr: 5.0000e-04 eta: 1 day, 2:16:07 time: 1.1052 data_time: 0.1481 memory: 32703 grad_norm: 19.9126 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5863 loss: 1.5863 2022/07/30 04:10:50 - mmengine - INFO - Epoch(train) [21][520/2505] lr: 5.0000e-04 eta: 1 day, 2:15:42 time: 0.8806 data_time: 0.2589 memory: 32703 grad_norm: 20.6356 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6376 loss: 1.6376 2022/07/30 04:11:13 - mmengine - INFO - Epoch(train) [21][540/2505] lr: 5.0000e-04 eta: 1 day, 2:15:26 time: 1.1080 data_time: 0.4782 memory: 32703 grad_norm: 20.6385 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1980 loss: 1.1980 2022/07/30 04:11:30 - mmengine - INFO - Epoch(train) [21][560/2505] lr: 5.0000e-04 eta: 1 day, 2:15:01 time: 0.8515 data_time: 0.2626 memory: 32703 grad_norm: 20.4485 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4673 loss: 1.4673 2022/07/30 04:11:52 - mmengine - INFO - Epoch(train) [21][580/2505] lr: 5.0000e-04 eta: 1 day, 2:14:45 time: 1.1012 data_time: 0.4775 memory: 32703 grad_norm: 20.3219 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3047 loss: 1.3047 2022/07/30 04:12:08 - mmengine - INFO - Epoch(train) [21][600/2505] lr: 5.0000e-04 eta: 1 day, 2:14:18 time: 0.8243 data_time: 0.2539 memory: 32703 grad_norm: 19.9605 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5648 loss: 1.5648 2022/07/30 04:12:30 - mmengine - INFO - Epoch(train) [21][620/2505] lr: 5.0000e-04 eta: 1 day, 2:14:01 time: 1.0833 data_time: 0.4696 memory: 32703 grad_norm: 20.5814 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3695 loss: 1.3695 2022/07/30 04:12:48 - mmengine - INFO - Epoch(train) [21][640/2505] lr: 5.0000e-04 eta: 1 day, 2:13:38 time: 0.9008 data_time: 0.3020 memory: 32703 grad_norm: 19.4736 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5870 loss: 1.5870 2022/07/30 04:13:10 - mmengine - INFO - Epoch(train) [21][660/2505] lr: 5.0000e-04 eta: 1 day, 2:13:21 time: 1.0738 data_time: 0.4956 memory: 32703 grad_norm: 20.2503 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6489 loss: 1.6489 2022/07/30 04:13:27 - mmengine - INFO - Epoch(train) [21][680/2505] lr: 5.0000e-04 eta: 1 day, 2:12:57 time: 0.9054 data_time: 0.3031 memory: 32703 grad_norm: 20.5185 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4733 loss: 1.4733 2022/07/30 04:13:49 - mmengine - INFO - Epoch(train) [21][700/2505] lr: 5.0000e-04 eta: 1 day, 2:12:40 time: 1.0614 data_time: 0.4551 memory: 32703 grad_norm: 20.2140 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6612 loss: 1.6612 2022/07/30 04:14:07 - mmengine - INFO - Epoch(train) [21][720/2505] lr: 5.0000e-04 eta: 1 day, 2:12:16 time: 0.8986 data_time: 0.2822 memory: 32703 grad_norm: 20.1897 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6297 loss: 1.6297 2022/07/30 04:14:27 - mmengine - INFO - Epoch(train) [21][740/2505] lr: 5.0000e-04 eta: 1 day, 2:11:57 time: 1.0398 data_time: 0.4193 memory: 32703 grad_norm: 20.8870 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6352 loss: 1.6352 2022/07/30 04:14:45 - mmengine - INFO - Epoch(train) [21][760/2505] lr: 5.0000e-04 eta: 1 day, 2:11:33 time: 0.8901 data_time: 0.3151 memory: 32703 grad_norm: 19.7926 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4442 loss: 1.4442 2022/07/30 04:15:07 - mmengine - INFO - Epoch(train) [21][780/2505] lr: 5.0000e-04 eta: 1 day, 2:11:16 time: 1.0688 data_time: 0.4182 memory: 32703 grad_norm: 20.4353 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.3261 loss: 1.3261 2022/07/30 04:15:24 - mmengine - INFO - Epoch(train) [21][800/2505] lr: 5.0000e-04 eta: 1 day, 2:10:51 time: 0.8747 data_time: 0.1310 memory: 32703 grad_norm: 21.6614 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5726 loss: 1.5726 2022/07/30 04:15:46 - mmengine - INFO - Epoch(train) [21][820/2505] lr: 5.0000e-04 eta: 1 day, 2:10:34 time: 1.0779 data_time: 0.1487 memory: 32703 grad_norm: 21.0303 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2308 loss: 1.2308 2022/07/30 04:16:04 - mmengine - INFO - Epoch(train) [21][840/2505] lr: 5.0000e-04 eta: 1 day, 2:10:11 time: 0.9085 data_time: 0.0270 memory: 32703 grad_norm: 20.5523 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6690 loss: 1.6690 2022/07/30 04:16:25 - mmengine - INFO - Epoch(train) [21][860/2505] lr: 5.0000e-04 eta: 1 day, 2:09:53 time: 1.0557 data_time: 0.0332 memory: 32703 grad_norm: 19.4497 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5306 loss: 1.5306 2022/07/30 04:16:44 - mmengine - INFO - Epoch(train) [21][880/2505] lr: 5.0000e-04 eta: 1 day, 2:09:31 time: 0.9476 data_time: 0.0304 memory: 32703 grad_norm: 20.0899 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5996 loss: 1.5996 2022/07/30 04:17:06 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 04:17:06 - mmengine - INFO - Epoch(train) [21][900/2505] lr: 5.0000e-04 eta: 1 day, 2:09:15 time: 1.0841 data_time: 0.0327 memory: 32703 grad_norm: 19.7772 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4172 loss: 1.4172 2022/07/30 04:17:24 - mmengine - INFO - Epoch(train) [21][920/2505] lr: 5.0000e-04 eta: 1 day, 2:08:52 time: 0.9251 data_time: 0.0287 memory: 32703 grad_norm: 20.2414 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2260 loss: 1.2260 2022/07/30 04:17:45 - mmengine - INFO - Epoch(train) [21][940/2505] lr: 5.0000e-04 eta: 1 day, 2:08:34 time: 1.0542 data_time: 0.0389 memory: 32703 grad_norm: 20.7313 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4065 loss: 1.4065 2022/07/30 04:18:04 - mmengine - INFO - Epoch(train) [21][960/2505] lr: 5.0000e-04 eta: 1 day, 2:08:11 time: 0.9297 data_time: 0.0373 memory: 32703 grad_norm: 20.4725 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4129 loss: 1.4129 2022/07/30 04:18:25 - mmengine - INFO - Epoch(train) [21][980/2505] lr: 5.0000e-04 eta: 1 day, 2:07:53 time: 1.0378 data_time: 0.0282 memory: 32703 grad_norm: 19.8508 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4034 loss: 1.4034 2022/07/30 04:18:42 - mmengine - INFO - Epoch(train) [21][1000/2505] lr: 5.0000e-04 eta: 1 day, 2:07:29 time: 0.8775 data_time: 0.0298 memory: 32703 grad_norm: 19.1838 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6974 loss: 1.6974 2022/07/30 04:19:04 - mmengine - INFO - Epoch(train) [21][1020/2505] lr: 5.0000e-04 eta: 1 day, 2:07:13 time: 1.1117 data_time: 0.0289 memory: 32703 grad_norm: 20.6658 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5225 loss: 1.5225 2022/07/30 04:19:22 - mmengine - INFO - Epoch(train) [21][1040/2505] lr: 5.0000e-04 eta: 1 day, 2:06:49 time: 0.8943 data_time: 0.0275 memory: 32703 grad_norm: 20.0336 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4989 loss: 1.4989 2022/07/30 04:19:44 - mmengine - INFO - Epoch(train) [21][1060/2505] lr: 5.0000e-04 eta: 1 day, 2:06:32 time: 1.0808 data_time: 0.0301 memory: 32703 grad_norm: 20.4050 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5841 loss: 1.5841 2022/07/30 04:20:02 - mmengine - INFO - Epoch(train) [21][1080/2505] lr: 5.0000e-04 eta: 1 day, 2:06:09 time: 0.9127 data_time: 0.0289 memory: 32703 grad_norm: 20.3921 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5978 loss: 1.5978 2022/07/30 04:20:24 - mmengine - INFO - Epoch(train) [21][1100/2505] lr: 5.0000e-04 eta: 1 day, 2:05:52 time: 1.0705 data_time: 0.0336 memory: 32703 grad_norm: 20.7281 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5202 loss: 1.5202 2022/07/30 04:20:42 - mmengine - INFO - Epoch(train) [21][1120/2505] lr: 5.0000e-04 eta: 1 day, 2:05:29 time: 0.9190 data_time: 0.0297 memory: 32703 grad_norm: 19.9604 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4108 loss: 1.4108 2022/07/30 04:21:04 - mmengine - INFO - Epoch(train) [21][1140/2505] lr: 5.0000e-04 eta: 1 day, 2:05:12 time: 1.0784 data_time: 0.0309 memory: 32703 grad_norm: 19.4827 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4948 loss: 1.4948 2022/07/30 04:21:21 - mmengine - INFO - Epoch(train) [21][1160/2505] lr: 5.0000e-04 eta: 1 day, 2:04:48 time: 0.8873 data_time: 0.0270 memory: 32703 grad_norm: 20.6278 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3134 loss: 1.3134 2022/07/30 04:21:44 - mmengine - INFO - Epoch(train) [21][1180/2505] lr: 5.0000e-04 eta: 1 day, 2:04:32 time: 1.1067 data_time: 0.0320 memory: 32703 grad_norm: 20.0937 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.4948 loss: 1.4948 2022/07/30 04:22:01 - mmengine - INFO - Epoch(train) [21][1200/2505] lr: 5.0000e-04 eta: 1 day, 2:04:07 time: 0.8860 data_time: 0.0331 memory: 32703 grad_norm: 19.6790 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4975 loss: 1.4975 2022/07/30 04:22:23 - mmengine - INFO - Epoch(train) [21][1220/2505] lr: 5.0000e-04 eta: 1 day, 2:03:51 time: 1.0857 data_time: 0.0328 memory: 32703 grad_norm: 19.6122 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6569 loss: 1.6569 2022/07/30 04:22:41 - mmengine - INFO - Epoch(train) [21][1240/2505] lr: 5.0000e-04 eta: 1 day, 2:03:27 time: 0.8978 data_time: 0.0298 memory: 32703 grad_norm: 19.5152 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2783 loss: 1.2783 2022/07/30 04:23:03 - mmengine - INFO - Epoch(train) [21][1260/2505] lr: 5.0000e-04 eta: 1 day, 2:03:10 time: 1.0817 data_time: 0.0333 memory: 32703 grad_norm: 19.8644 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5977 loss: 1.5977 2022/07/30 04:23:20 - mmengine - INFO - Epoch(train) [21][1280/2505] lr: 5.0000e-04 eta: 1 day, 2:02:45 time: 0.8599 data_time: 0.0317 memory: 32703 grad_norm: 20.8223 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4033 loss: 1.4033 2022/07/30 04:23:40 - mmengine - INFO - Epoch(train) [21][1300/2505] lr: 5.0000e-04 eta: 1 day, 2:02:26 time: 1.0317 data_time: 0.0292 memory: 32703 grad_norm: 18.8562 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4440 loss: 1.4440 2022/07/30 04:23:58 - mmengine - INFO - Epoch(train) [21][1320/2505] lr: 5.0000e-04 eta: 1 day, 2:02:02 time: 0.8675 data_time: 0.0298 memory: 32703 grad_norm: 19.9948 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.5891 loss: 1.5891 2022/07/30 04:24:19 - mmengine - INFO - Epoch(train) [21][1340/2505] lr: 5.0000e-04 eta: 1 day, 2:01:44 time: 1.0558 data_time: 0.0302 memory: 32703 grad_norm: 19.6312 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4523 loss: 1.4523 2022/07/30 04:24:37 - mmengine - INFO - Epoch(train) [21][1360/2505] lr: 5.0000e-04 eta: 1 day, 2:01:21 time: 0.9205 data_time: 0.0277 memory: 32703 grad_norm: 19.6827 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5807 loss: 1.5807 2022/07/30 04:24:59 - mmengine - INFO - Epoch(train) [21][1380/2505] lr: 5.0000e-04 eta: 1 day, 2:01:04 time: 1.0935 data_time: 0.0329 memory: 32703 grad_norm: 20.1234 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4074 loss: 1.4074 2022/07/30 04:25:18 - mmengine - INFO - Epoch(train) [21][1400/2505] lr: 5.0000e-04 eta: 1 day, 2:00:42 time: 0.9404 data_time: 0.0277 memory: 32703 grad_norm: 20.2581 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4047 loss: 1.4047 2022/07/30 04:25:39 - mmengine - INFO - Epoch(train) [21][1420/2505] lr: 5.0000e-04 eta: 1 day, 2:00:24 time: 1.0540 data_time: 0.0295 memory: 32703 grad_norm: 21.0173 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5656 loss: 1.5656 2022/07/30 04:25:57 - mmengine - INFO - Epoch(train) [21][1440/2505] lr: 5.0000e-04 eta: 1 day, 2:00:01 time: 0.9194 data_time: 0.0270 memory: 32703 grad_norm: 19.9800 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4495 loss: 1.4495 2022/07/30 04:26:18 - mmengine - INFO - Epoch(train) [21][1460/2505] lr: 5.0000e-04 eta: 1 day, 1:59:43 time: 1.0414 data_time: 0.0307 memory: 32703 grad_norm: 20.8820 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4718 loss: 1.4718 2022/07/30 04:26:36 - mmengine - INFO - Epoch(train) [21][1480/2505] lr: 5.0000e-04 eta: 1 day, 1:59:20 time: 0.9048 data_time: 0.0253 memory: 32703 grad_norm: 19.3823 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.4732 loss: 1.4732 2022/07/30 04:26:57 - mmengine - INFO - Epoch(train) [21][1500/2505] lr: 5.0000e-04 eta: 1 day, 1:59:00 time: 1.0176 data_time: 0.0296 memory: 32703 grad_norm: 20.1684 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4238 loss: 1.4238 2022/07/30 04:27:15 - mmengine - INFO - Epoch(train) [21][1520/2505] lr: 5.0000e-04 eta: 1 day, 1:58:38 time: 0.9376 data_time: 0.0235 memory: 32703 grad_norm: 19.4854 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3794 loss: 1.3794 2022/07/30 04:27:36 - mmengine - INFO - Epoch(train) [21][1540/2505] lr: 5.0000e-04 eta: 1 day, 1:58:19 time: 1.0134 data_time: 0.0332 memory: 32703 grad_norm: 19.8031 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6652 loss: 1.6652 2022/07/30 04:27:57 - mmengine - INFO - Epoch(train) [21][1560/2505] lr: 5.0000e-04 eta: 1 day, 1:58:01 time: 1.0460 data_time: 0.0263 memory: 32703 grad_norm: 20.7371 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5264 loss: 1.5264 2022/07/30 04:28:15 - mmengine - INFO - Epoch(train) [21][1580/2505] lr: 5.0000e-04 eta: 1 day, 1:57:37 time: 0.9109 data_time: 0.0274 memory: 32703 grad_norm: 20.2054 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6039 loss: 1.6039 2022/07/30 04:28:36 - mmengine - INFO - Epoch(train) [21][1600/2505] lr: 5.0000e-04 eta: 1 day, 1:57:19 time: 1.0510 data_time: 0.0280 memory: 32703 grad_norm: 19.6126 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 1.4323 loss: 1.4323 2022/07/30 04:28:54 - mmengine - INFO - Epoch(train) [21][1620/2505] lr: 5.0000e-04 eta: 1 day, 1:56:56 time: 0.9152 data_time: 0.0276 memory: 32703 grad_norm: 20.1681 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3706 loss: 1.3706 2022/07/30 04:29:14 - mmengine - INFO - Epoch(train) [21][1640/2505] lr: 5.0000e-04 eta: 1 day, 1:56:37 time: 1.0108 data_time: 0.0440 memory: 32703 grad_norm: 20.1934 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2472 loss: 1.2472 2022/07/30 04:29:33 - mmengine - INFO - Epoch(train) [21][1660/2505] lr: 5.0000e-04 eta: 1 day, 1:56:14 time: 0.9084 data_time: 0.0322 memory: 32703 grad_norm: 20.2256 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4289 loss: 1.4289 2022/07/30 04:29:53 - mmengine - INFO - Epoch(train) [21][1680/2505] lr: 5.0000e-04 eta: 1 day, 1:55:55 time: 1.0374 data_time: 0.0296 memory: 32703 grad_norm: 20.5884 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5602 loss: 1.5602 2022/07/30 04:30:13 - mmengine - INFO - Epoch(train) [21][1700/2505] lr: 5.0000e-04 eta: 1 day, 1:55:34 time: 0.9718 data_time: 0.0567 memory: 32703 grad_norm: 20.1437 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5830 loss: 1.5830 2022/07/30 04:30:34 - mmengine - INFO - Epoch(train) [21][1720/2505] lr: 5.0000e-04 eta: 1 day, 1:55:17 time: 1.0714 data_time: 0.0588 memory: 32703 grad_norm: 20.0846 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2337 loss: 1.2337 2022/07/30 04:30:53 - mmengine - INFO - Epoch(train) [21][1740/2505] lr: 5.0000e-04 eta: 1 day, 1:54:55 time: 0.9504 data_time: 0.0239 memory: 32703 grad_norm: 20.1132 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2406 loss: 1.2406 2022/07/30 04:31:14 - mmengine - INFO - Epoch(train) [21][1760/2505] lr: 5.0000e-04 eta: 1 day, 1:54:37 time: 1.0386 data_time: 0.0256 memory: 32703 grad_norm: 20.6599 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4860 loss: 1.4860 2022/07/30 04:31:32 - mmengine - INFO - Epoch(train) [21][1780/2505] lr: 5.0000e-04 eta: 1 day, 1:54:13 time: 0.8970 data_time: 0.0317 memory: 32703 grad_norm: 20.0990 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3511 loss: 1.3511 2022/07/30 04:31:52 - mmengine - INFO - Epoch(train) [21][1800/2505] lr: 5.0000e-04 eta: 1 day, 1:53:54 time: 1.0256 data_time: 0.0273 memory: 32703 grad_norm: 20.2612 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3503 loss: 1.3503 2022/07/30 04:32:12 - mmengine - INFO - Epoch(train) [21][1820/2505] lr: 5.0000e-04 eta: 1 day, 1:53:34 time: 1.0034 data_time: 0.0460 memory: 32703 grad_norm: 19.3490 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5558 loss: 1.5558 2022/07/30 04:32:31 - mmengine - INFO - Epoch(train) [21][1840/2505] lr: 5.0000e-04 eta: 1 day, 1:53:12 time: 0.9432 data_time: 0.0272 memory: 32703 grad_norm: 19.0478 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.4674 loss: 1.4674 2022/07/30 04:32:53 - mmengine - INFO - Epoch(train) [21][1860/2505] lr: 5.0000e-04 eta: 1 day, 1:52:55 time: 1.0852 data_time: 0.0271 memory: 32703 grad_norm: 19.7969 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.2106 loss: 1.2106 2022/07/30 04:33:11 - mmengine - INFO - Epoch(train) [21][1880/2505] lr: 5.0000e-04 eta: 1 day, 1:52:33 time: 0.9203 data_time: 0.0282 memory: 32703 grad_norm: 19.1743 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4436 loss: 1.4436 2022/07/30 04:33:34 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 04:33:34 - mmengine - INFO - Epoch(train) [21][1900/2505] lr: 5.0000e-04 eta: 1 day, 1:52:17 time: 1.1107 data_time: 0.0268 memory: 32703 grad_norm: 20.2845 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4523 loss: 1.4523 2022/07/30 04:33:51 - mmengine - INFO - Epoch(train) [21][1920/2505] lr: 5.0000e-04 eta: 1 day, 1:51:51 time: 0.8472 data_time: 0.0274 memory: 32703 grad_norm: 20.5975 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2999 loss: 1.2999 2022/07/30 04:34:12 - mmengine - INFO - Epoch(train) [21][1940/2505] lr: 5.0000e-04 eta: 1 day, 1:51:33 time: 1.0532 data_time: 0.0276 memory: 32703 grad_norm: 19.9011 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4683 loss: 1.4683 2022/07/30 04:34:29 - mmengine - INFO - Epoch(train) [21][1960/2505] lr: 5.0000e-04 eta: 1 day, 1:51:09 time: 0.8849 data_time: 0.0276 memory: 32703 grad_norm: 20.4637 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4812 loss: 1.4812 2022/07/30 04:34:51 - mmengine - INFO - Epoch(train) [21][1980/2505] lr: 5.0000e-04 eta: 1 day, 1:50:52 time: 1.0803 data_time: 0.0284 memory: 32703 grad_norm: 21.1877 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5310 loss: 1.5310 2022/07/30 04:35:10 - mmengine - INFO - Epoch(train) [21][2000/2505] lr: 5.0000e-04 eta: 1 day, 1:50:31 time: 0.9481 data_time: 0.0326 memory: 32703 grad_norm: 19.9672 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5551 loss: 1.5551 2022/07/30 04:35:31 - mmengine - INFO - Epoch(train) [21][2020/2505] lr: 5.0000e-04 eta: 1 day, 1:50:12 time: 1.0490 data_time: 0.0284 memory: 32703 grad_norm: 20.9412 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7054 loss: 1.7054 2022/07/30 04:35:49 - mmengine - INFO - Epoch(train) [21][2040/2505] lr: 5.0000e-04 eta: 1 day, 1:49:49 time: 0.8911 data_time: 0.0278 memory: 32703 grad_norm: 20.0017 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6718 loss: 1.6718 2022/07/30 04:36:09 - mmengine - INFO - Epoch(train) [21][2060/2505] lr: 5.0000e-04 eta: 1 day, 1:49:28 time: 0.9913 data_time: 0.0279 memory: 32703 grad_norm: 20.1305 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3246 loss: 1.3246 2022/07/30 04:36:28 - mmengine - INFO - Epoch(train) [21][2080/2505] lr: 5.0000e-04 eta: 1 day, 1:49:08 time: 0.9794 data_time: 0.0314 memory: 32703 grad_norm: 20.4709 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6294 loss: 1.6294 2022/07/30 04:36:48 - mmengine - INFO - Epoch(train) [21][2100/2505] lr: 5.0000e-04 eta: 1 day, 1:48:46 time: 0.9614 data_time: 0.0340 memory: 32703 grad_norm: 20.1370 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4995 loss: 1.4995 2022/07/30 04:37:07 - mmengine - INFO - Epoch(train) [21][2120/2505] lr: 5.0000e-04 eta: 1 day, 1:48:25 time: 0.9671 data_time: 0.0347 memory: 32703 grad_norm: 20.2445 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4670 loss: 1.4670 2022/07/30 04:37:26 - mmengine - INFO - Epoch(train) [21][2140/2505] lr: 5.0000e-04 eta: 1 day, 1:48:04 time: 0.9491 data_time: 0.0324 memory: 32703 grad_norm: 19.0896 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5248 loss: 1.5248 2022/07/30 04:37:46 - mmengine - INFO - Epoch(train) [21][2160/2505] lr: 5.0000e-04 eta: 1 day, 1:47:45 time: 1.0314 data_time: 0.0298 memory: 32703 grad_norm: 19.7723 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5588 loss: 1.5588 2022/07/30 04:38:06 - mmengine - INFO - Epoch(train) [21][2180/2505] lr: 5.0000e-04 eta: 1 day, 1:47:24 time: 0.9623 data_time: 0.0287 memory: 32703 grad_norm: 20.5635 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6450 loss: 1.6450 2022/07/30 04:38:27 - mmengine - INFO - Epoch(train) [21][2200/2505] lr: 5.0000e-04 eta: 1 day, 1:47:05 time: 1.0474 data_time: 0.0798 memory: 32703 grad_norm: 19.5951 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5057 loss: 1.5057 2022/07/30 04:38:46 - mmengine - INFO - Epoch(train) [21][2220/2505] lr: 5.0000e-04 eta: 1 day, 1:46:45 time: 0.9912 data_time: 0.1406 memory: 32703 grad_norm: 20.0715 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8387 loss: 1.8387 2022/07/30 04:39:04 - mmengine - INFO - Epoch(train) [21][2240/2505] lr: 5.0000e-04 eta: 1 day, 1:46:21 time: 0.8908 data_time: 0.0273 memory: 32703 grad_norm: 19.4734 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.2849 loss: 1.2849 2022/07/30 04:39:24 - mmengine - INFO - Epoch(train) [21][2260/2505] lr: 5.0000e-04 eta: 1 day, 1:46:01 time: 0.9816 data_time: 0.0305 memory: 32703 grad_norm: 19.7785 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3841 loss: 1.3841 2022/07/30 04:39:45 - mmengine - INFO - Epoch(train) [21][2280/2505] lr: 5.0000e-04 eta: 1 day, 1:45:43 time: 1.0473 data_time: 0.1636 memory: 32703 grad_norm: 20.1231 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5719 loss: 1.5719 2022/07/30 04:40:04 - mmengine - INFO - Epoch(train) [21][2300/2505] lr: 5.0000e-04 eta: 1 day, 1:45:21 time: 0.9415 data_time: 0.0262 memory: 32703 grad_norm: 21.0202 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4705 loss: 1.4705 2022/07/30 04:40:25 - mmengine - INFO - Epoch(train) [21][2320/2505] lr: 5.0000e-04 eta: 1 day, 1:45:04 time: 1.0764 data_time: 0.0330 memory: 32703 grad_norm: 20.8249 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5788 loss: 1.5788 2022/07/30 04:40:44 - mmengine - INFO - Epoch(train) [21][2340/2505] lr: 5.0000e-04 eta: 1 day, 1:44:41 time: 0.9274 data_time: 0.0443 memory: 32703 grad_norm: 20.1474 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3870 loss: 1.3870 2022/07/30 04:41:05 - mmengine - INFO - Epoch(train) [21][2360/2505] lr: 5.0000e-04 eta: 1 day, 1:44:24 time: 1.0857 data_time: 0.1118 memory: 32703 grad_norm: 19.5699 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3071 loss: 1.3071 2022/07/30 04:41:23 - mmengine - INFO - Epoch(train) [21][2380/2505] lr: 5.0000e-04 eta: 1 day, 1:43:59 time: 0.8610 data_time: 0.1321 memory: 32703 grad_norm: 20.5368 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4251 loss: 1.4251 2022/07/30 04:41:44 - mmengine - INFO - Epoch(train) [21][2400/2505] lr: 5.0000e-04 eta: 1 day, 1:43:42 time: 1.0749 data_time: 0.3745 memory: 32703 grad_norm: 19.4993 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5325 loss: 1.5325 2022/07/30 04:42:02 - mmengine - INFO - Epoch(train) [21][2420/2505] lr: 5.0000e-04 eta: 1 day, 1:43:19 time: 0.9102 data_time: 0.2227 memory: 32703 grad_norm: 19.5460 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4324 loss: 1.4324 2022/07/30 04:42:23 - mmengine - INFO - Epoch(train) [21][2440/2505] lr: 5.0000e-04 eta: 1 day, 1:43:01 time: 1.0423 data_time: 0.3556 memory: 32703 grad_norm: 20.0344 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4809 loss: 1.4809 2022/07/30 04:42:42 - mmengine - INFO - Epoch(train) [21][2460/2505] lr: 5.0000e-04 eta: 1 day, 1:42:38 time: 0.9235 data_time: 0.2443 memory: 32703 grad_norm: 20.1928 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4059 loss: 1.4059 2022/07/30 04:43:02 - mmengine - INFO - Epoch(train) [21][2480/2505] lr: 5.0000e-04 eta: 1 day, 1:42:18 time: 1.0098 data_time: 0.1529 memory: 32703 grad_norm: 19.9758 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4484 loss: 1.4484 2022/07/30 04:43:20 - mmengine - INFO - Epoch(train) [21][2500/2505] lr: 5.0000e-04 eta: 1 day, 1:41:55 time: 0.9076 data_time: 0.0424 memory: 32703 grad_norm: 20.2483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5073 loss: 1.5073 2022/07/30 04:43:23 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 04:43:23 - mmengine - INFO - Epoch(train) [21][2505/2505] lr: 5.0000e-04 eta: 1 day, 1:41:55 time: 0.7393 data_time: 0.0199 memory: 32703 grad_norm: 20.1312 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5622 loss: 1.5622 2022/07/30 04:43:25 - mmengine - INFO - Epoch(val) [21][20/2475] eta: 0:04:37 time: 0.1131 data_time: 0.0796 memory: 817 2022/07/30 04:43:27 - mmengine - INFO - Epoch(val) [21][40/2475] eta: 0:02:45 time: 0.0681 data_time: 0.0371 memory: 817 2022/07/30 04:43:28 - mmengine - INFO - Epoch(val) [21][60/2475] eta: 0:03:43 time: 0.0927 data_time: 0.0619 memory: 817 2022/07/30 04:43:30 - mmengine - INFO - Epoch(val) [21][80/2475] eta: 0:02:56 time: 0.0737 data_time: 0.0440 memory: 817 2022/07/30 04:43:32 - mmengine - INFO - Epoch(val) [21][100/2475] eta: 0:03:44 time: 0.0944 data_time: 0.0638 memory: 817 2022/07/30 04:43:33 - mmengine - INFO - Epoch(val) [21][120/2475] eta: 0:02:40 time: 0.0681 data_time: 0.0358 memory: 817 2022/07/30 04:43:35 - mmengine - INFO - Epoch(val) [21][140/2475] eta: 0:03:30 time: 0.0901 data_time: 0.0590 memory: 817 2022/07/30 04:43:36 - mmengine - INFO - Epoch(val) [21][160/2475] eta: 0:02:51 time: 0.0741 data_time: 0.0420 memory: 817 2022/07/30 04:43:38 - mmengine - INFO - Epoch(val) [21][180/2475] eta: 0:03:15 time: 0.0854 data_time: 0.0519 memory: 817 2022/07/30 04:43:40 - mmengine - INFO - Epoch(val) [21][200/2475] eta: 0:02:40 time: 0.0707 data_time: 0.0394 memory: 817 2022/07/30 04:43:41 - mmengine - INFO - Epoch(val) [21][220/2475] eta: 0:03:06 time: 0.0828 data_time: 0.0507 memory: 817 2022/07/30 04:43:43 - mmengine - INFO - Epoch(val) [21][240/2475] eta: 0:02:38 time: 0.0708 data_time: 0.0392 memory: 817 2022/07/30 04:43:44 - mmengine - INFO - Epoch(val) [21][260/2475] eta: 0:03:16 time: 0.0887 data_time: 0.0581 memory: 817 2022/07/30 04:43:46 - mmengine - INFO - Epoch(val) [21][280/2475] eta: 0:02:47 time: 0.0761 data_time: 0.0466 memory: 817 2022/07/30 04:43:48 - mmengine - INFO - Epoch(val) [21][300/2475] eta: 0:03:50 time: 0.1058 data_time: 0.0749 memory: 817 2022/07/30 04:43:49 - mmengine - INFO - Epoch(val) [21][320/2475] eta: 0:02:22 time: 0.0659 data_time: 0.0342 memory: 817 2022/07/30 04:43:51 - mmengine - INFO - Epoch(val) [21][340/2475] eta: 0:02:49 time: 0.0795 data_time: 0.0480 memory: 817 2022/07/30 04:43:52 - mmengine - INFO - Epoch(val) [21][360/2475] eta: 0:02:07 time: 0.0604 data_time: 0.0281 memory: 817 2022/07/30 04:43:54 - mmengine - INFO - Epoch(val) [21][380/2475] eta: 0:03:28 time: 0.0994 data_time: 0.0663 memory: 817 2022/07/30 04:43:56 - mmengine - INFO - Epoch(val) [21][400/2475] eta: 0:02:53 time: 0.0834 data_time: 0.0518 memory: 817 2022/07/30 04:43:57 - mmengine - INFO - Epoch(val) [21][420/2475] eta: 0:02:40 time: 0.0783 data_time: 0.0466 memory: 817 2022/07/30 04:43:59 - mmengine - INFO - Epoch(val) [21][440/2475] eta: 0:02:30 time: 0.0740 data_time: 0.0395 memory: 817 2022/07/30 04:44:01 - mmengine - INFO - Epoch(val) [21][460/2475] eta: 0:03:05 time: 0.0920 data_time: 0.0597 memory: 817 2022/07/30 04:44:02 - mmengine - INFO - Epoch(val) [21][480/2475] eta: 0:02:08 time: 0.0646 data_time: 0.0332 memory: 817 2022/07/30 04:44:04 - mmengine - INFO - Epoch(val) [21][500/2475] eta: 0:02:33 time: 0.0775 data_time: 0.0403 memory: 817 2022/07/30 04:44:05 - mmengine - INFO - Epoch(val) [21][520/2475] eta: 0:02:36 time: 0.0803 data_time: 0.0496 memory: 817 2022/07/30 04:44:07 - mmengine - INFO - Epoch(val) [21][540/2475] eta: 0:02:24 time: 0.0745 data_time: 0.0414 memory: 817 2022/07/30 04:44:08 - mmengine - INFO - Epoch(val) [21][560/2475] eta: 0:02:29 time: 0.0783 data_time: 0.0475 memory: 817 2022/07/30 04:44:10 - mmengine - INFO - Epoch(val) [21][580/2475] eta: 0:02:21 time: 0.0748 data_time: 0.0417 memory: 817 2022/07/30 04:44:11 - mmengine - INFO - Epoch(val) [21][600/2475] eta: 0:02:34 time: 0.0826 data_time: 0.0510 memory: 817 2022/07/30 04:44:13 - mmengine - INFO - Epoch(val) [21][620/2475] eta: 0:02:49 time: 0.0912 data_time: 0.0590 memory: 817 2022/07/30 04:44:15 - mmengine - INFO - Epoch(val) [21][640/2475] eta: 0:02:24 time: 0.0787 data_time: 0.0459 memory: 817 2022/07/30 04:44:17 - mmengine - INFO - Epoch(val) [21][660/2475] eta: 0:02:44 time: 0.0905 data_time: 0.0597 memory: 817 2022/07/30 04:44:18 - mmengine - INFO - Epoch(val) [21][680/2475] eta: 0:02:03 time: 0.0690 data_time: 0.0387 memory: 817 2022/07/30 04:44:20 - mmengine - INFO - Epoch(val) [21][700/2475] eta: 0:02:33 time: 0.0863 data_time: 0.0548 memory: 817 2022/07/30 04:44:22 - mmengine - INFO - Epoch(val) [21][720/2475] eta: 0:02:32 time: 0.0869 data_time: 0.0562 memory: 817 2022/07/30 04:44:23 - mmengine - INFO - Epoch(val) [21][740/2475] eta: 0:02:07 time: 0.0736 data_time: 0.0386 memory: 817 2022/07/30 04:44:25 - mmengine - INFO - Epoch(val) [21][760/2475] eta: 0:02:20 time: 0.0822 data_time: 0.0487 memory: 817 2022/07/30 04:44:26 - mmengine - INFO - Epoch(val) [21][780/2475] eta: 0:02:09 time: 0.0766 data_time: 0.0444 memory: 817 2022/07/30 04:44:28 - mmengine - INFO - Epoch(val) [21][800/2475] eta: 0:02:03 time: 0.0739 data_time: 0.0429 memory: 817 2022/07/30 04:44:29 - mmengine - INFO - Epoch(val) [21][820/2475] eta: 0:02:20 time: 0.0852 data_time: 0.0538 memory: 817 2022/07/30 04:44:31 - mmengine - INFO - Epoch(val) [21][840/2475] eta: 0:02:21 time: 0.0864 data_time: 0.0551 memory: 817 2022/07/30 04:44:33 - mmengine - INFO - Epoch(val) [21][860/2475] eta: 0:02:33 time: 0.0950 data_time: 0.0576 memory: 817 2022/07/30 04:44:35 - mmengine - INFO - Epoch(val) [21][880/2475] eta: 0:02:02 time: 0.0769 data_time: 0.0444 memory: 817 2022/07/30 04:44:36 - mmengine - INFO - Epoch(val) [21][900/2475] eta: 0:02:30 time: 0.0955 data_time: 0.0655 memory: 817 2022/07/30 04:44:38 - mmengine - INFO - Epoch(val) [21][920/2475] eta: 0:01:44 time: 0.0673 data_time: 0.0357 memory: 817 2022/07/30 04:44:40 - mmengine - INFO - Epoch(val) [21][940/2475] eta: 0:02:29 time: 0.0976 data_time: 0.0655 memory: 817 2022/07/30 04:44:41 - mmengine - INFO - Epoch(val) [21][960/2475] eta: 0:01:48 time: 0.0719 data_time: 0.0406 memory: 817 2022/07/30 04:44:43 - mmengine - INFO - Epoch(val) [21][980/2475] eta: 0:02:39 time: 0.1070 data_time: 0.0736 memory: 817 2022/07/30 04:44:45 - mmengine - INFO - Epoch(val) [21][1000/2475] eta: 0:01:35 time: 0.0644 data_time: 0.0334 memory: 817 2022/07/30 04:44:47 - mmengine - INFO - Epoch(val) [21][1020/2475] eta: 0:02:27 time: 0.1016 data_time: 0.0708 memory: 817 2022/07/30 04:44:48 - mmengine - INFO - Epoch(val) [21][1040/2475] eta: 0:01:33 time: 0.0654 data_time: 0.0349 memory: 817 2022/07/30 04:44:50 - mmengine - INFO - Epoch(val) [21][1060/2475] eta: 0:02:08 time: 0.0911 data_time: 0.0598 memory: 817 2022/07/30 04:44:51 - mmengine - INFO - Epoch(val) [21][1080/2475] eta: 0:01:29 time: 0.0642 data_time: 0.0341 memory: 817 2022/07/30 04:44:53 - mmengine - INFO - Epoch(val) [21][1100/2475] eta: 0:01:58 time: 0.0862 data_time: 0.0472 memory: 817 2022/07/30 04:44:54 - mmengine - INFO - Epoch(val) [21][1120/2475] eta: 0:01:26 time: 0.0642 data_time: 0.0299 memory: 817 2022/07/30 04:44:56 - mmengine - INFO - Epoch(val) [21][1140/2475] eta: 0:02:01 time: 0.0911 data_time: 0.0608 memory: 817 2022/07/30 04:44:57 - mmengine - INFO - Epoch(val) [21][1160/2475] eta: 0:01:35 time: 0.0724 data_time: 0.0425 memory: 817 2022/07/30 04:44:59 - mmengine - INFO - Epoch(val) [21][1180/2475] eta: 0:01:50 time: 0.0850 data_time: 0.0529 memory: 817 2022/07/30 04:45:01 - mmengine - INFO - Epoch(val) [21][1200/2475] eta: 0:01:34 time: 0.0745 data_time: 0.0446 memory: 817 2022/07/30 04:45:02 - mmengine - INFO - Epoch(val) [21][1220/2475] eta: 0:01:54 time: 0.0916 data_time: 0.0612 memory: 817 2022/07/30 04:45:04 - mmengine - INFO - Epoch(val) [21][1240/2475] eta: 0:01:51 time: 0.0904 data_time: 0.0586 memory: 817 2022/07/30 04:45:06 - mmengine - INFO - Epoch(val) [21][1260/2475] eta: 0:01:55 time: 0.0948 data_time: 0.0638 memory: 817 2022/07/30 04:45:08 - mmengine - INFO - Epoch(val) [21][1280/2475] eta: 0:01:28 time: 0.0744 data_time: 0.0440 memory: 817 2022/07/30 04:45:09 - mmengine - INFO - Epoch(val) [21][1300/2475] eta: 0:01:36 time: 0.0824 data_time: 0.0495 memory: 817 2022/07/30 04:45:11 - mmengine - INFO - Epoch(val) [21][1320/2475] eta: 0:01:29 time: 0.0779 data_time: 0.0460 memory: 817 2022/07/30 04:45:13 - mmengine - INFO - Epoch(val) [21][1340/2475] eta: 0:01:52 time: 0.0995 data_time: 0.0660 memory: 817 2022/07/30 04:45:14 - mmengine - INFO - Epoch(val) [21][1360/2475] eta: 0:01:31 time: 0.0820 data_time: 0.0463 memory: 817 2022/07/30 04:45:16 - mmengine - INFO - Epoch(val) [21][1380/2475] eta: 0:01:15 time: 0.0687 data_time: 0.0375 memory: 817 2022/07/30 04:45:17 - mmengine - INFO - Epoch(val) [21][1400/2475] eta: 0:01:24 time: 0.0784 data_time: 0.0474 memory: 817 2022/07/30 04:45:19 - mmengine - INFO - Epoch(val) [21][1420/2475] eta: 0:01:26 time: 0.0823 data_time: 0.0511 memory: 817 2022/07/30 04:45:21 - mmengine - INFO - Epoch(val) [21][1440/2475] eta: 0:01:17 time: 0.0752 data_time: 0.0436 memory: 817 2022/07/30 04:45:22 - mmengine - INFO - Epoch(val) [21][1460/2475] eta: 0:01:35 time: 0.0937 data_time: 0.0616 memory: 817 2022/07/30 04:45:24 - mmengine - INFO - Epoch(val) [21][1480/2475] eta: 0:01:02 time: 0.0627 data_time: 0.0295 memory: 817 2022/07/30 04:45:26 - mmengine - INFO - Epoch(val) [21][1500/2475] eta: 0:01:31 time: 0.0934 data_time: 0.0624 memory: 817 2022/07/30 04:45:27 - mmengine - INFO - Epoch(val) [21][1520/2475] eta: 0:01:17 time: 0.0815 data_time: 0.0513 memory: 817 2022/07/30 04:45:29 - mmengine - INFO - Epoch(val) [21][1540/2475] eta: 0:01:21 time: 0.0867 data_time: 0.0554 memory: 817 2022/07/30 04:45:30 - mmengine - INFO - Epoch(val) [21][1560/2475] eta: 0:01:01 time: 0.0671 data_time: 0.0366 memory: 817 2022/07/30 04:45:32 - mmengine - INFO - Epoch(val) [21][1580/2475] eta: 0:01:17 time: 0.0865 data_time: 0.0557 memory: 817 2022/07/30 04:45:34 - mmengine - INFO - Epoch(val) [21][1600/2475] eta: 0:01:11 time: 0.0814 data_time: 0.0271 memory: 817 2022/07/30 04:45:35 - mmengine - INFO - Epoch(val) [21][1620/2475] eta: 0:01:00 time: 0.0703 data_time: 0.0385 memory: 817 2022/07/30 04:45:37 - mmengine - INFO - Epoch(val) [21][1640/2475] eta: 0:01:02 time: 0.0751 data_time: 0.0442 memory: 817 2022/07/30 04:45:38 - mmengine - INFO - Epoch(val) [21][1660/2475] eta: 0:01:11 time: 0.0880 data_time: 0.0563 memory: 817 2022/07/30 04:45:40 - mmengine - INFO - Epoch(val) [21][1680/2475] eta: 0:00:50 time: 0.0641 data_time: 0.0319 memory: 817 2022/07/30 04:45:41 - mmengine - INFO - Epoch(val) [21][1700/2475] eta: 0:01:13 time: 0.0953 data_time: 0.0649 memory: 817 2022/07/30 04:45:43 - mmengine - INFO - Epoch(val) [21][1720/2475] eta: 0:01:00 time: 0.0799 data_time: 0.0422 memory: 817 2022/07/30 04:45:44 - mmengine - INFO - Epoch(val) [21][1740/2475] eta: 0:00:47 time: 0.0650 data_time: 0.0332 memory: 817 2022/07/30 04:45:46 - mmengine - INFO - Epoch(val) [21][1760/2475] eta: 0:01:09 time: 0.0969 data_time: 0.0649 memory: 817 2022/07/30 04:45:48 - mmengine - INFO - Epoch(val) [21][1780/2475] eta: 0:00:52 time: 0.0757 data_time: 0.0442 memory: 817 2022/07/30 04:45:50 - mmengine - INFO - Epoch(val) [21][1800/2475] eta: 0:00:59 time: 0.0879 data_time: 0.0566 memory: 817 2022/07/30 04:45:51 - mmengine - INFO - Epoch(val) [21][1820/2475] eta: 0:00:52 time: 0.0798 data_time: 0.0483 memory: 817 2022/07/30 04:45:53 - mmengine - INFO - Epoch(val) [21][1840/2475] eta: 0:01:03 time: 0.0996 data_time: 0.0593 memory: 817 2022/07/30 04:45:54 - mmengine - INFO - Epoch(val) [21][1860/2475] eta: 0:00:35 time: 0.0579 data_time: 0.0233 memory: 817 2022/07/30 04:45:56 - mmengine - INFO - Epoch(val) [21][1880/2475] eta: 0:00:48 time: 0.0821 data_time: 0.0503 memory: 817 2022/07/30 04:45:58 - mmengine - INFO - Epoch(val) [21][1900/2475] eta: 0:00:43 time: 0.0758 data_time: 0.0427 memory: 817 2022/07/30 04:45:59 - mmengine - INFO - Epoch(val) [21][1920/2475] eta: 0:00:53 time: 0.0964 data_time: 0.0637 memory: 817 2022/07/30 04:46:01 - mmengine - INFO - Epoch(val) [21][1940/2475] eta: 0:00:41 time: 0.0772 data_time: 0.0417 memory: 817 2022/07/30 04:46:03 - mmengine - INFO - Epoch(val) [21][1960/2475] eta: 0:00:47 time: 0.0923 data_time: 0.0615 memory: 817 2022/07/30 04:46:04 - mmengine - INFO - Epoch(val) [21][1980/2475] eta: 0:00:34 time: 0.0700 data_time: 0.0377 memory: 817 2022/07/30 04:46:06 - mmengine - INFO - Epoch(val) [21][2000/2475] eta: 0:00:43 time: 0.0914 data_time: 0.0592 memory: 817 2022/07/30 04:46:07 - mmengine - INFO - Epoch(val) [21][2020/2475] eta: 0:00:28 time: 0.0617 data_time: 0.0303 memory: 817 2022/07/30 04:46:09 - mmengine - INFO - Epoch(val) [21][2040/2475] eta: 0:00:37 time: 0.0859 data_time: 0.0548 memory: 817 2022/07/30 04:46:11 - mmengine - INFO - Epoch(val) [21][2060/2475] eta: 0:00:31 time: 0.0750 data_time: 0.0446 memory: 817 2022/07/30 04:46:12 - mmengine - INFO - Epoch(val) [21][2080/2475] eta: 0:00:31 time: 0.0810 data_time: 0.0501 memory: 817 2022/07/30 04:46:14 - mmengine - INFO - Epoch(val) [21][2100/2475] eta: 0:00:32 time: 0.0873 data_time: 0.0560 memory: 817 2022/07/30 04:46:15 - mmengine - INFO - Epoch(val) [21][2120/2475] eta: 0:00:27 time: 0.0779 data_time: 0.0470 memory: 817 2022/07/30 04:46:17 - mmengine - INFO - Epoch(val) [21][2140/2475] eta: 0:00:29 time: 0.0877 data_time: 0.0573 memory: 817 2022/07/30 04:46:19 - mmengine - INFO - Epoch(val) [21][2160/2475] eta: 0:00:22 time: 0.0702 data_time: 0.0382 memory: 817 2022/07/30 04:46:20 - mmengine - INFO - Epoch(val) [21][2180/2475] eta: 0:00:24 time: 0.0823 data_time: 0.0505 memory: 817 2022/07/30 04:46:22 - mmengine - INFO - Epoch(val) [21][2200/2475] eta: 0:00:22 time: 0.0805 data_time: 0.0497 memory: 817 2022/07/30 04:46:24 - mmengine - INFO - Epoch(val) [21][2220/2475] eta: 0:00:20 time: 0.0793 data_time: 0.0455 memory: 817 2022/07/30 04:46:25 - mmengine - INFO - Epoch(val) [21][2240/2475] eta: 0:00:18 time: 0.0790 data_time: 0.0482 memory: 817 2022/07/30 04:46:27 - mmengine - INFO - Epoch(val) [21][2260/2475] eta: 0:00:21 time: 0.1015 data_time: 0.0691 memory: 817 2022/07/30 04:46:28 - mmengine - INFO - Epoch(val) [21][2280/2475] eta: 0:00:12 time: 0.0655 data_time: 0.0351 memory: 817 2022/07/30 04:46:30 - mmengine - INFO - Epoch(val) [21][2300/2475] eta: 0:00:14 time: 0.0828 data_time: 0.0500 memory: 817 2022/07/30 04:46:32 - mmengine - INFO - Epoch(val) [21][2320/2475] eta: 0:00:12 time: 0.0775 data_time: 0.0468 memory: 817 2022/07/30 04:46:33 - mmengine - INFO - Epoch(val) [21][2340/2475] eta: 0:00:10 time: 0.0799 data_time: 0.0400 memory: 817 2022/07/30 04:46:35 - mmengine - INFO - Epoch(val) [21][2360/2475] eta: 0:00:08 time: 0.0759 data_time: 0.0432 memory: 817 2022/07/30 04:46:37 - mmengine - INFO - Epoch(val) [21][2380/2475] eta: 0:00:09 time: 0.0948 data_time: 0.0639 memory: 817 2022/07/30 04:46:38 - mmengine - INFO - Epoch(val) [21][2400/2475] eta: 0:00:04 time: 0.0604 data_time: 0.0301 memory: 817 2022/07/30 04:46:40 - mmengine - INFO - Epoch(val) [21][2420/2475] eta: 0:00:05 time: 0.1033 data_time: 0.0732 memory: 817 2022/07/30 04:46:41 - mmengine - INFO - Epoch(val) [21][2440/2475] eta: 0:00:02 time: 0.0657 data_time: 0.0342 memory: 817 2022/07/30 04:46:43 - mmengine - INFO - Epoch(val) [21][2460/2475] eta: 0:00:01 time: 0.0849 data_time: 0.0529 memory: 817 2022/07/30 04:46:47 - mmengine - INFO - Epoch(val) [21][2475/2475] acc/top1: 0.7063 acc/top5: 0.8907 acc/mean1: 0.7063 2022/07/30 04:46:47 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/07/30 04:46:50 - mmengine - INFO - The best checkpoint with 0.7063 acc/top1 at 22 epoch is saved to best_acc/top1_epoch_22.pth. 2022/07/30 04:47:16 - mmengine - INFO - Epoch(train) [22][20/2505] lr: 5.0000e-04 eta: 1 day, 1:41:33 time: 1.3127 data_time: 0.7082 memory: 32703 grad_norm: 20.6314 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.5296 loss: 1.5296 2022/07/30 04:47:34 - mmengine - INFO - Epoch(train) [22][40/2505] lr: 5.0000e-04 eta: 1 day, 1:41:10 time: 0.9114 data_time: 0.3070 memory: 32703 grad_norm: 20.2078 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6685 loss: 1.6685 2022/07/30 04:47:55 - mmengine - INFO - Epoch(train) [22][60/2505] lr: 5.0000e-04 eta: 1 day, 1:40:51 time: 1.0437 data_time: 0.4539 memory: 32703 grad_norm: 19.2888 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5171 loss: 1.5171 2022/07/30 04:48:12 - mmengine - INFO - Epoch(train) [22][80/2505] lr: 5.0000e-04 eta: 1 day, 1:40:26 time: 0.8380 data_time: 0.2637 memory: 32703 grad_norm: 20.6952 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4761 loss: 1.4761 2022/07/30 04:48:34 - mmengine - INFO - Epoch(train) [22][100/2505] lr: 5.0000e-04 eta: 1 day, 1:40:09 time: 1.0993 data_time: 0.4666 memory: 32703 grad_norm: 19.3402 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5615 loss: 1.5615 2022/07/30 04:48:52 - mmengine - INFO - Epoch(train) [22][120/2505] lr: 5.0000e-04 eta: 1 day, 1:39:45 time: 0.8888 data_time: 0.2067 memory: 32703 grad_norm: 19.3306 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3620 loss: 1.3620 2022/07/30 04:49:13 - mmengine - INFO - Epoch(train) [22][140/2505] lr: 5.0000e-04 eta: 1 day, 1:39:28 time: 1.0743 data_time: 0.0906 memory: 32703 grad_norm: 19.2742 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2807 loss: 1.2807 2022/07/30 04:49:32 - mmengine - INFO - Epoch(train) [22][160/2505] lr: 5.0000e-04 eta: 1 day, 1:39:05 time: 0.9154 data_time: 0.0313 memory: 32703 grad_norm: 20.1304 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6568 loss: 1.6568 2022/07/30 04:49:53 - mmengine - INFO - Epoch(train) [22][180/2505] lr: 5.0000e-04 eta: 1 day, 1:38:48 time: 1.0631 data_time: 0.0494 memory: 32703 grad_norm: 18.5467 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6562 loss: 1.6562 2022/07/30 04:50:12 - mmengine - INFO - Epoch(train) [22][200/2505] lr: 5.0000e-04 eta: 1 day, 1:38:26 time: 0.9606 data_time: 0.1291 memory: 32703 grad_norm: 19.7183 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2937 loss: 1.2937 2022/07/30 04:50:32 - mmengine - INFO - Epoch(train) [22][220/2505] lr: 5.0000e-04 eta: 1 day, 1:38:06 time: 0.9806 data_time: 0.1164 memory: 32703 grad_norm: 20.0249 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2961 loss: 1.2961 2022/07/30 04:50:51 - mmengine - INFO - Epoch(train) [22][240/2505] lr: 5.0000e-04 eta: 1 day, 1:37:45 time: 0.9650 data_time: 0.2293 memory: 32703 grad_norm: 19.4980 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3103 loss: 1.3103 2022/07/30 04:51:11 - mmengine - INFO - Epoch(train) [22][260/2505] lr: 5.0000e-04 eta: 1 day, 1:37:24 time: 0.9873 data_time: 0.1405 memory: 32703 grad_norm: 20.8138 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3585 loss: 1.3585 2022/07/30 04:51:30 - mmengine - INFO - Epoch(train) [22][280/2505] lr: 5.0000e-04 eta: 1 day, 1:37:03 time: 0.9596 data_time: 0.0904 memory: 32703 grad_norm: 18.9129 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3862 loss: 1.3862 2022/07/30 04:51:52 - mmengine - INFO - Epoch(train) [22][300/2505] lr: 5.0000e-04 eta: 1 day, 1:36:46 time: 1.0923 data_time: 0.0300 memory: 32703 grad_norm: 19.5589 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.3511 loss: 1.3511 2022/07/30 04:52:11 - mmengine - INFO - Epoch(train) [22][320/2505] lr: 5.0000e-04 eta: 1 day, 1:36:25 time: 0.9718 data_time: 0.0319 memory: 32703 grad_norm: 20.0057 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5460 loss: 1.5460 2022/07/30 04:52:32 - mmengine - INFO - Epoch(train) [22][340/2505] lr: 5.0000e-04 eta: 1 day, 1:36:07 time: 1.0393 data_time: 0.0303 memory: 32703 grad_norm: 20.4500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4359 loss: 1.4359 2022/07/30 04:52:50 - mmengine - INFO - Epoch(train) [22][360/2505] lr: 5.0000e-04 eta: 1 day, 1:35:44 time: 0.9222 data_time: 0.0312 memory: 32703 grad_norm: 20.1795 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4841 loss: 1.4841 2022/07/30 04:53:11 - mmengine - INFO - Epoch(train) [22][380/2505] lr: 5.0000e-04 eta: 1 day, 1:35:26 time: 1.0469 data_time: 0.0285 memory: 32703 grad_norm: 20.3953 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.3835 loss: 1.3835 2022/07/30 04:53:27 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 04:53:30 - mmengine - INFO - Epoch(train) [22][400/2505] lr: 5.0000e-04 eta: 1 day, 1:35:04 time: 0.9500 data_time: 0.0325 memory: 32703 grad_norm: 20.0181 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3510 loss: 1.3510 2022/07/30 04:53:52 - mmengine - INFO - Epoch(train) [22][420/2505] lr: 5.0000e-04 eta: 1 day, 1:34:48 time: 1.0925 data_time: 0.0269 memory: 32703 grad_norm: 20.3990 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5336 loss: 1.5336 2022/07/30 04:54:10 - mmengine - INFO - Epoch(train) [22][440/2505] lr: 5.0000e-04 eta: 1 day, 1:34:24 time: 0.8871 data_time: 0.0304 memory: 32703 grad_norm: 19.7714 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4971 loss: 1.4971 2022/07/30 04:54:31 - mmengine - INFO - Epoch(train) [22][460/2505] lr: 5.0000e-04 eta: 1 day, 1:34:05 time: 1.0386 data_time: 0.0334 memory: 32703 grad_norm: 20.1286 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3686 loss: 1.3686 2022/07/30 04:54:49 - mmengine - INFO - Epoch(train) [22][480/2505] lr: 5.0000e-04 eta: 1 day, 1:33:42 time: 0.8865 data_time: 0.0331 memory: 32703 grad_norm: 19.9023 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5301 loss: 1.5301 2022/07/30 04:55:10 - mmengine - INFO - Epoch(train) [22][500/2505] lr: 5.0000e-04 eta: 1 day, 1:33:24 time: 1.0736 data_time: 0.0272 memory: 32703 grad_norm: 19.8119 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5070 loss: 1.5070 2022/07/30 04:55:28 - mmengine - INFO - Epoch(train) [22][520/2505] lr: 5.0000e-04 eta: 1 day, 1:33:01 time: 0.8983 data_time: 0.0323 memory: 32703 grad_norm: 19.9020 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3054 loss: 1.3054 2022/07/30 04:55:50 - mmengine - INFO - Epoch(train) [22][540/2505] lr: 5.0000e-04 eta: 1 day, 1:32:44 time: 1.0882 data_time: 0.0325 memory: 32703 grad_norm: 20.1663 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4588 loss: 1.4588 2022/07/30 04:56:08 - mmengine - INFO - Epoch(train) [22][560/2505] lr: 5.0000e-04 eta: 1 day, 1:32:21 time: 0.9094 data_time: 0.0290 memory: 32703 grad_norm: 19.6918 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4237 loss: 1.4237 2022/07/30 04:56:28 - mmengine - INFO - Epoch(train) [22][580/2505] lr: 5.0000e-04 eta: 1 day, 1:32:02 time: 1.0255 data_time: 0.0312 memory: 32703 grad_norm: 20.5407 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.6949 loss: 1.6949 2022/07/30 04:56:47 - mmengine - INFO - Epoch(train) [22][600/2505] lr: 5.0000e-04 eta: 1 day, 1:31:39 time: 0.9061 data_time: 0.0328 memory: 32703 grad_norm: 19.2420 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3064 loss: 1.3064 2022/07/30 04:57:07 - mmengine - INFO - Epoch(train) [22][620/2505] lr: 5.0000e-04 eta: 1 day, 1:31:20 time: 1.0423 data_time: 0.0286 memory: 32703 grad_norm: 19.4280 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4973 loss: 1.4973 2022/07/30 04:57:26 - mmengine - INFO - Epoch(train) [22][640/2505] lr: 5.0000e-04 eta: 1 day, 1:30:57 time: 0.9059 data_time: 0.0297 memory: 32703 grad_norm: 19.6379 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4559 loss: 1.4559 2022/07/30 04:57:48 - mmengine - INFO - Epoch(train) [22][660/2505] lr: 5.0000e-04 eta: 1 day, 1:30:42 time: 1.1268 data_time: 0.0360 memory: 32703 grad_norm: 19.1893 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4344 loss: 1.4344 2022/07/30 04:58:07 - mmengine - INFO - Epoch(train) [22][680/2505] lr: 5.0000e-04 eta: 1 day, 1:30:19 time: 0.9262 data_time: 0.0328 memory: 32703 grad_norm: 20.8341 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3865 loss: 1.3865 2022/07/30 04:58:28 - mmengine - INFO - Epoch(train) [22][700/2505] lr: 5.0000e-04 eta: 1 day, 1:30:02 time: 1.0791 data_time: 0.0329 memory: 32703 grad_norm: 18.8533 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5587 loss: 1.5587 2022/07/30 04:58:46 - mmengine - INFO - Epoch(train) [22][720/2505] lr: 5.0000e-04 eta: 1 day, 1:29:39 time: 0.9082 data_time: 0.0260 memory: 32703 grad_norm: 19.8756 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6182 loss: 1.6182 2022/07/30 04:59:08 - mmengine - INFO - Epoch(train) [22][740/2505] lr: 5.0000e-04 eta: 1 day, 1:29:22 time: 1.0787 data_time: 0.0340 memory: 32703 grad_norm: 20.0081 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4248 loss: 1.4248 2022/07/30 04:59:26 - mmengine - INFO - Epoch(train) [22][760/2505] lr: 5.0000e-04 eta: 1 day, 1:28:59 time: 0.8982 data_time: 0.0276 memory: 32703 grad_norm: 20.3799 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4260 loss: 1.4260 2022/07/30 04:59:47 - mmengine - INFO - Epoch(train) [22][780/2505] lr: 5.0000e-04 eta: 1 day, 1:28:40 time: 1.0461 data_time: 0.0302 memory: 32703 grad_norm: 19.8743 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5746 loss: 1.5746 2022/07/30 05:00:05 - mmengine - INFO - Epoch(train) [22][800/2505] lr: 5.0000e-04 eta: 1 day, 1:28:18 time: 0.9210 data_time: 0.0328 memory: 32703 grad_norm: 20.2566 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6469 loss: 1.6469 2022/07/30 05:00:27 - mmengine - INFO - Epoch(train) [22][820/2505] lr: 5.0000e-04 eta: 1 day, 1:28:00 time: 1.0681 data_time: 0.0290 memory: 32703 grad_norm: 19.7534 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5310 loss: 1.5310 2022/07/30 05:00:45 - mmengine - INFO - Epoch(train) [22][840/2505] lr: 5.0000e-04 eta: 1 day, 1:27:37 time: 0.9110 data_time: 0.0295 memory: 32703 grad_norm: 20.0331 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4017 loss: 1.4017 2022/07/30 05:01:05 - mmengine - INFO - Epoch(train) [22][860/2505] lr: 5.0000e-04 eta: 1 day, 1:27:17 time: 1.0066 data_time: 0.0277 memory: 32703 grad_norm: 20.0744 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2868 loss: 1.2868 2022/07/30 05:01:22 - mmengine - INFO - Epoch(train) [22][880/2505] lr: 5.0000e-04 eta: 1 day, 1:26:53 time: 0.8657 data_time: 0.0290 memory: 32703 grad_norm: 19.0314 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3456 loss: 1.3456 2022/07/30 05:01:43 - mmengine - INFO - Epoch(train) [22][900/2505] lr: 5.0000e-04 eta: 1 day, 1:26:35 time: 1.0425 data_time: 0.0270 memory: 32703 grad_norm: 19.1488 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3037 loss: 1.3037 2022/07/30 05:02:01 - mmengine - INFO - Epoch(train) [22][920/2505] lr: 5.0000e-04 eta: 1 day, 1:26:11 time: 0.9066 data_time: 0.0261 memory: 32703 grad_norm: 19.8760 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5056 loss: 1.5056 2022/07/30 05:02:23 - mmengine - INFO - Epoch(train) [22][940/2505] lr: 5.0000e-04 eta: 1 day, 1:25:54 time: 1.0743 data_time: 0.0638 memory: 32703 grad_norm: 19.5527 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3752 loss: 1.3752 2022/07/30 05:02:41 - mmengine - INFO - Epoch(train) [22][960/2505] lr: 5.0000e-04 eta: 1 day, 1:25:31 time: 0.9140 data_time: 0.0636 memory: 32703 grad_norm: 19.2826 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3532 loss: 1.3532 2022/07/30 05:03:03 - mmengine - INFO - Epoch(train) [22][980/2505] lr: 5.0000e-04 eta: 1 day, 1:25:14 time: 1.0790 data_time: 0.0496 memory: 32703 grad_norm: 19.8461 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3506 loss: 1.3506 2022/07/30 05:03:21 - mmengine - INFO - Epoch(train) [22][1000/2505] lr: 5.0000e-04 eta: 1 day, 1:24:52 time: 0.9395 data_time: 0.0379 memory: 32703 grad_norm: 18.3737 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5067 loss: 1.5067 2022/07/30 05:03:43 - mmengine - INFO - Epoch(train) [22][1020/2505] lr: 5.0000e-04 eta: 1 day, 1:24:35 time: 1.0869 data_time: 0.0672 memory: 32703 grad_norm: 21.0671 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3165 loss: 1.3165 2022/07/30 05:04:01 - mmengine - INFO - Epoch(train) [22][1040/2505] lr: 5.0000e-04 eta: 1 day, 1:24:12 time: 0.9026 data_time: 0.0342 memory: 32703 grad_norm: 19.5261 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4366 loss: 1.4366 2022/07/30 05:04:22 - mmengine - INFO - Epoch(train) [22][1060/2505] lr: 5.0000e-04 eta: 1 day, 1:23:53 time: 1.0326 data_time: 0.0262 memory: 32703 grad_norm: 19.6529 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5444 loss: 1.5444 2022/07/30 05:04:40 - mmengine - INFO - Epoch(train) [22][1080/2505] lr: 5.0000e-04 eta: 1 day, 1:23:31 time: 0.9227 data_time: 0.0297 memory: 32703 grad_norm: 19.9585 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5361 loss: 1.5361 2022/07/30 05:05:02 - mmengine - INFO - Epoch(train) [22][1100/2505] lr: 5.0000e-04 eta: 1 day, 1:23:13 time: 1.0624 data_time: 0.0267 memory: 32703 grad_norm: 19.7934 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5162 loss: 1.5162 2022/07/30 05:05:20 - mmengine - INFO - Epoch(train) [22][1120/2505] lr: 5.0000e-04 eta: 1 day, 1:22:50 time: 0.9158 data_time: 0.0303 memory: 32703 grad_norm: 20.2026 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5397 loss: 1.5397 2022/07/30 05:05:42 - mmengine - INFO - Epoch(train) [22][1140/2505] lr: 5.0000e-04 eta: 1 day, 1:22:33 time: 1.0800 data_time: 0.0305 memory: 32703 grad_norm: 19.8450 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4062 loss: 1.4062 2022/07/30 05:06:00 - mmengine - INFO - Epoch(train) [22][1160/2505] lr: 5.0000e-04 eta: 1 day, 1:22:11 time: 0.9350 data_time: 0.0282 memory: 32703 grad_norm: 20.2233 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3647 loss: 1.3647 2022/07/30 05:06:21 - mmengine - INFO - Epoch(train) [22][1180/2505] lr: 5.0000e-04 eta: 1 day, 1:21:53 time: 1.0478 data_time: 0.0272 memory: 32703 grad_norm: 19.6743 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4173 loss: 1.4173 2022/07/30 05:06:40 - mmengine - INFO - Epoch(train) [22][1200/2505] lr: 5.0000e-04 eta: 1 day, 1:21:30 time: 0.9196 data_time: 0.0274 memory: 32703 grad_norm: 20.8184 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3188 loss: 1.3188 2022/07/30 05:07:00 - mmengine - INFO - Epoch(train) [22][1220/2505] lr: 5.0000e-04 eta: 1 day, 1:21:12 time: 1.0433 data_time: 0.0344 memory: 32703 grad_norm: 20.1107 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3566 loss: 1.3566 2022/07/30 05:07:20 - mmengine - INFO - Epoch(train) [22][1240/2505] lr: 5.0000e-04 eta: 1 day, 1:20:51 time: 0.9650 data_time: 0.0290 memory: 32703 grad_norm: 19.2024 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6187 loss: 1.6187 2022/07/30 05:07:40 - mmengine - INFO - Epoch(train) [22][1260/2505] lr: 5.0000e-04 eta: 1 day, 1:20:32 time: 1.0328 data_time: 0.0322 memory: 32703 grad_norm: 19.8419 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4018 loss: 1.4018 2022/07/30 05:07:59 - mmengine - INFO - Epoch(train) [22][1280/2505] lr: 5.0000e-04 eta: 1 day, 1:20:09 time: 0.9110 data_time: 0.0287 memory: 32703 grad_norm: 20.2089 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3857 loss: 1.3857 2022/07/30 05:08:20 - mmengine - INFO - Epoch(train) [22][1300/2505] lr: 5.0000e-04 eta: 1 day, 1:19:51 time: 1.0514 data_time: 0.0299 memory: 32703 grad_norm: 19.4805 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2987 loss: 1.2987 2022/07/30 05:08:38 - mmengine - INFO - Epoch(train) [22][1320/2505] lr: 5.0000e-04 eta: 1 day, 1:19:28 time: 0.9165 data_time: 0.0268 memory: 32703 grad_norm: 19.7393 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2431 loss: 1.2431 2022/07/30 05:08:59 - mmengine - INFO - Epoch(train) [22][1340/2505] lr: 5.0000e-04 eta: 1 day, 1:19:11 time: 1.0722 data_time: 0.0341 memory: 32703 grad_norm: 19.2457 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3607 loss: 1.3607 2022/07/30 05:09:17 - mmengine - INFO - Epoch(train) [22][1360/2505] lr: 5.0000e-04 eta: 1 day, 1:18:47 time: 0.8850 data_time: 0.0311 memory: 32703 grad_norm: 19.3529 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4351 loss: 1.4351 2022/07/30 05:09:38 - mmengine - INFO - Epoch(train) [22][1380/2505] lr: 5.0000e-04 eta: 1 day, 1:18:28 time: 1.0328 data_time: 0.0325 memory: 32703 grad_norm: 20.2829 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3743 loss: 1.3743 2022/07/30 05:09:53 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 05:09:56 - mmengine - INFO - Epoch(train) [22][1400/2505] lr: 5.0000e-04 eta: 1 day, 1:18:05 time: 0.9032 data_time: 0.0317 memory: 32703 grad_norm: 19.6988 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2961 loss: 1.2961 2022/07/30 05:10:19 - mmengine - INFO - Epoch(train) [22][1420/2505] lr: 5.0000e-04 eta: 1 day, 1:17:50 time: 1.1379 data_time: 0.0266 memory: 32703 grad_norm: 20.3223 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5043 loss: 1.5043 2022/07/30 05:10:36 - mmengine - INFO - Epoch(train) [22][1440/2505] lr: 5.0000e-04 eta: 1 day, 1:17:25 time: 0.8699 data_time: 0.0304 memory: 32703 grad_norm: 19.1494 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6065 loss: 1.6065 2022/07/30 05:10:58 - mmengine - INFO - Epoch(train) [22][1460/2505] lr: 5.0000e-04 eta: 1 day, 1:17:09 time: 1.1181 data_time: 0.0346 memory: 32703 grad_norm: 20.0700 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6798 loss: 1.6798 2022/07/30 05:11:16 - mmengine - INFO - Epoch(train) [22][1480/2505] lr: 5.0000e-04 eta: 1 day, 1:16:46 time: 0.8856 data_time: 0.0286 memory: 32703 grad_norm: 19.4688 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4760 loss: 1.4760 2022/07/30 05:11:38 - mmengine - INFO - Epoch(train) [22][1500/2505] lr: 5.0000e-04 eta: 1 day, 1:16:29 time: 1.0833 data_time: 0.0326 memory: 32703 grad_norm: 19.6300 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4951 loss: 1.4951 2022/07/30 05:11:55 - mmengine - INFO - Epoch(train) [22][1520/2505] lr: 5.0000e-04 eta: 1 day, 1:16:05 time: 0.8767 data_time: 0.0309 memory: 32703 grad_norm: 20.2130 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.6319 loss: 1.6319 2022/07/30 05:12:17 - mmengine - INFO - Epoch(train) [22][1540/2505] lr: 5.0000e-04 eta: 1 day, 1:15:48 time: 1.0833 data_time: 0.0329 memory: 32703 grad_norm: 20.0558 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4204 loss: 1.4204 2022/07/30 05:12:35 - mmengine - INFO - Epoch(train) [22][1560/2505] lr: 5.0000e-04 eta: 1 day, 1:15:24 time: 0.8807 data_time: 0.0293 memory: 32703 grad_norm: 19.4076 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5562 loss: 1.5562 2022/07/30 05:12:58 - mmengine - INFO - Epoch(train) [22][1580/2505] lr: 5.0000e-04 eta: 1 day, 1:15:09 time: 1.1429 data_time: 0.0292 memory: 32703 grad_norm: 20.1234 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3372 loss: 1.3372 2022/07/30 05:13:14 - mmengine - INFO - Epoch(train) [22][1600/2505] lr: 5.0000e-04 eta: 1 day, 1:14:43 time: 0.8183 data_time: 0.0319 memory: 32703 grad_norm: 19.5022 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6401 loss: 1.6401 2022/07/30 05:13:35 - mmengine - INFO - Epoch(train) [22][1620/2505] lr: 5.0000e-04 eta: 1 day, 1:14:24 time: 1.0416 data_time: 0.0269 memory: 32703 grad_norm: 19.4528 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6201 loss: 1.6201 2022/07/30 05:13:54 - mmengine - INFO - Epoch(train) [22][1640/2505] lr: 5.0000e-04 eta: 1 day, 1:14:02 time: 0.9412 data_time: 0.0278 memory: 32703 grad_norm: 20.1514 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4510 loss: 1.4510 2022/07/30 05:14:14 - mmengine - INFO - Epoch(train) [22][1660/2505] lr: 5.0000e-04 eta: 1 day, 1:13:43 time: 1.0271 data_time: 0.0273 memory: 32703 grad_norm: 19.9922 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3495 loss: 1.3495 2022/07/30 05:14:32 - mmengine - INFO - Epoch(train) [22][1680/2505] lr: 5.0000e-04 eta: 1 day, 1:13:20 time: 0.9038 data_time: 0.0260 memory: 32703 grad_norm: 19.1997 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7324 loss: 1.7324 2022/07/30 05:14:52 - mmengine - INFO - Epoch(train) [22][1700/2505] lr: 5.0000e-04 eta: 1 day, 1:13:01 time: 1.0160 data_time: 0.0296 memory: 32703 grad_norm: 20.1481 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3555 loss: 1.3555 2022/07/30 05:15:12 - mmengine - INFO - Epoch(train) [22][1720/2505] lr: 5.0000e-04 eta: 1 day, 1:12:40 time: 0.9734 data_time: 0.0291 memory: 32703 grad_norm: 20.5607 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5642 loss: 1.5642 2022/07/30 05:15:33 - mmengine - INFO - Epoch(train) [22][1740/2505] lr: 5.0000e-04 eta: 1 day, 1:12:22 time: 1.0542 data_time: 0.0292 memory: 32703 grad_norm: 19.8326 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4395 loss: 1.4395 2022/07/30 05:15:52 - mmengine - INFO - Epoch(train) [22][1760/2505] lr: 5.0000e-04 eta: 1 day, 1:12:00 time: 0.9473 data_time: 0.0307 memory: 32703 grad_norm: 20.5753 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4549 loss: 1.4549 2022/07/30 05:16:12 - mmengine - INFO - Epoch(train) [22][1780/2505] lr: 5.0000e-04 eta: 1 day, 1:11:40 time: 0.9928 data_time: 0.0297 memory: 32703 grad_norm: 19.6406 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3856 loss: 1.3856 2022/07/30 05:16:31 - mmengine - INFO - Epoch(train) [22][1800/2505] lr: 5.0000e-04 eta: 1 day, 1:11:18 time: 0.9420 data_time: 0.0286 memory: 32703 grad_norm: 19.4037 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3688 loss: 1.3688 2022/07/30 05:16:51 - mmengine - INFO - Epoch(train) [22][1820/2505] lr: 5.0000e-04 eta: 1 day, 1:10:59 time: 1.0122 data_time: 0.0300 memory: 32703 grad_norm: 19.5654 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5774 loss: 1.5774 2022/07/30 05:17:08 - mmengine - INFO - Epoch(train) [22][1840/2505] lr: 5.0000e-04 eta: 1 day, 1:10:35 time: 0.8769 data_time: 0.0294 memory: 32703 grad_norm: 19.1736 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5089 loss: 1.5089 2022/07/30 05:17:29 - mmengine - INFO - Epoch(train) [22][1860/2505] lr: 5.0000e-04 eta: 1 day, 1:10:15 time: 1.0116 data_time: 0.0275 memory: 32703 grad_norm: 20.7000 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3421 loss: 1.3421 2022/07/30 05:17:48 - mmengine - INFO - Epoch(train) [22][1880/2505] lr: 5.0000e-04 eta: 1 day, 1:09:54 time: 0.9553 data_time: 0.0293 memory: 32703 grad_norm: 19.8572 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3741 loss: 1.3741 2022/07/30 05:18:09 - mmengine - INFO - Epoch(train) [22][1900/2505] lr: 5.0000e-04 eta: 1 day, 1:09:36 time: 1.0659 data_time: 0.0276 memory: 32703 grad_norm: 19.6262 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4224 loss: 1.4224 2022/07/30 05:18:27 - mmengine - INFO - Epoch(train) [22][1920/2505] lr: 5.0000e-04 eta: 1 day, 1:09:13 time: 0.9070 data_time: 0.0267 memory: 32703 grad_norm: 19.5645 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3871 loss: 1.3871 2022/07/30 05:18:48 - mmengine - INFO - Epoch(train) [22][1940/2505] lr: 5.0000e-04 eta: 1 day, 1:08:56 time: 1.0598 data_time: 0.0281 memory: 32703 grad_norm: 19.4989 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3759 loss: 1.3759 2022/07/30 05:19:07 - mmengine - INFO - Epoch(train) [22][1960/2505] lr: 5.0000e-04 eta: 1 day, 1:08:33 time: 0.9307 data_time: 0.0280 memory: 32703 grad_norm: 20.9145 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4735 loss: 1.4735 2022/07/30 05:19:28 - mmengine - INFO - Epoch(train) [22][1980/2505] lr: 5.0000e-04 eta: 1 day, 1:08:15 time: 1.0533 data_time: 0.0651 memory: 32703 grad_norm: 20.5909 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7511 loss: 1.7511 2022/07/30 05:19:46 - mmengine - INFO - Epoch(train) [22][2000/2505] lr: 5.0000e-04 eta: 1 day, 1:07:52 time: 0.9055 data_time: 0.0551 memory: 32703 grad_norm: 18.7929 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4490 loss: 1.4490 2022/07/30 05:20:07 - mmengine - INFO - Epoch(train) [22][2020/2505] lr: 5.0000e-04 eta: 1 day, 1:07:34 time: 1.0365 data_time: 0.0890 memory: 32703 grad_norm: 19.6040 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3312 loss: 1.3312 2022/07/30 05:20:26 - mmengine - INFO - Epoch(train) [22][2040/2505] lr: 5.0000e-04 eta: 1 day, 1:07:13 time: 0.9669 data_time: 0.1427 memory: 32703 grad_norm: 19.9971 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4141 loss: 1.4141 2022/07/30 05:20:47 - mmengine - INFO - Epoch(train) [22][2060/2505] lr: 5.0000e-04 eta: 1 day, 1:06:54 time: 1.0340 data_time: 0.2506 memory: 32703 grad_norm: 20.1574 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4920 loss: 1.4920 2022/07/30 05:21:05 - mmengine - INFO - Epoch(train) [22][2080/2505] lr: 5.0000e-04 eta: 1 day, 1:06:31 time: 0.9198 data_time: 0.2077 memory: 32703 grad_norm: 19.1561 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3798 loss: 1.3798 2022/07/30 05:21:25 - mmengine - INFO - Epoch(train) [22][2100/2505] lr: 5.0000e-04 eta: 1 day, 1:06:11 time: 0.9958 data_time: 0.1203 memory: 32703 grad_norm: 20.1937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5749 loss: 1.5749 2022/07/30 05:21:47 - mmengine - INFO - Epoch(train) [22][2120/2505] lr: 5.0000e-04 eta: 1 day, 1:05:54 time: 1.0782 data_time: 0.0326 memory: 32703 grad_norm: 20.0327 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5423 loss: 1.5423 2022/07/30 05:22:05 - mmengine - INFO - Epoch(train) [22][2140/2505] lr: 5.0000e-04 eta: 1 day, 1:05:31 time: 0.9108 data_time: 0.0270 memory: 32703 grad_norm: 20.5290 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3487 loss: 1.3487 2022/07/30 05:22:26 - mmengine - INFO - Epoch(train) [22][2160/2505] lr: 5.0000e-04 eta: 1 day, 1:05:12 time: 1.0227 data_time: 0.0267 memory: 32703 grad_norm: 19.5002 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5423 loss: 1.5423 2022/07/30 05:22:44 - mmengine - INFO - Epoch(train) [22][2180/2505] lr: 5.0000e-04 eta: 1 day, 1:04:49 time: 0.9063 data_time: 0.0352 memory: 32703 grad_norm: 19.8301 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4255 loss: 1.4255 2022/07/30 05:23:05 - mmengine - INFO - Epoch(train) [22][2200/2505] lr: 5.0000e-04 eta: 1 day, 1:04:31 time: 1.0442 data_time: 0.0285 memory: 32703 grad_norm: 21.1692 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3447 loss: 1.3447 2022/07/30 05:23:24 - mmengine - INFO - Epoch(train) [22][2220/2505] lr: 5.0000e-04 eta: 1 day, 1:04:10 time: 0.9727 data_time: 0.0576 memory: 32703 grad_norm: 19.6926 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4663 loss: 1.4663 2022/07/30 05:23:43 - mmengine - INFO - Epoch(train) [22][2240/2505] lr: 5.0000e-04 eta: 1 day, 1:03:48 time: 0.9418 data_time: 0.1070 memory: 32703 grad_norm: 20.3683 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4384 loss: 1.4384 2022/07/30 05:24:03 - mmengine - INFO - Epoch(train) [22][2260/2505] lr: 5.0000e-04 eta: 1 day, 1:03:28 time: 0.9854 data_time: 0.2430 memory: 32703 grad_norm: 19.5829 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3374 loss: 1.3374 2022/07/30 05:24:25 - mmengine - INFO - Epoch(train) [22][2280/2505] lr: 5.0000e-04 eta: 1 day, 1:03:11 time: 1.0997 data_time: 0.0807 memory: 32703 grad_norm: 19.9368 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2933 loss: 1.2933 2022/07/30 05:24:44 - mmengine - INFO - Epoch(train) [22][2300/2505] lr: 5.0000e-04 eta: 1 day, 1:02:50 time: 0.9488 data_time: 0.0740 memory: 32703 grad_norm: 19.8783 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6184 loss: 1.6184 2022/07/30 05:25:04 - mmengine - INFO - Epoch(train) [22][2320/2505] lr: 5.0000e-04 eta: 1 day, 1:02:31 time: 1.0344 data_time: 0.0274 memory: 32703 grad_norm: 19.9541 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5060 loss: 1.5060 2022/07/30 05:25:23 - mmengine - INFO - Epoch(train) [22][2340/2505] lr: 5.0000e-04 eta: 1 day, 1:02:09 time: 0.9399 data_time: 0.0259 memory: 32703 grad_norm: 20.4587 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4469 loss: 1.4469 2022/07/30 05:25:45 - mmengine - INFO - Epoch(train) [22][2360/2505] lr: 5.0000e-04 eta: 1 day, 1:01:52 time: 1.0848 data_time: 0.0255 memory: 32703 grad_norm: 19.3298 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3109 loss: 1.3109 2022/07/30 05:26:03 - mmengine - INFO - Epoch(train) [22][2380/2505] lr: 5.0000e-04 eta: 1 day, 1:01:28 time: 0.8874 data_time: 0.0294 memory: 32703 grad_norm: 19.3245 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.1822 loss: 1.1822 2022/07/30 05:26:18 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 05:26:24 - mmengine - INFO - Epoch(train) [22][2400/2505] lr: 5.0000e-04 eta: 1 day, 1:01:11 time: 1.0892 data_time: 0.0274 memory: 32703 grad_norm: 20.1669 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4085 loss: 1.4085 2022/07/30 05:26:43 - mmengine - INFO - Epoch(train) [22][2420/2505] lr: 5.0000e-04 eta: 1 day, 1:00:49 time: 0.9111 data_time: 0.0353 memory: 32703 grad_norm: 18.9720 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4554 loss: 1.4554 2022/07/30 05:27:04 - mmengine - INFO - Epoch(train) [22][2440/2505] lr: 5.0000e-04 eta: 1 day, 1:00:31 time: 1.0833 data_time: 0.0265 memory: 32703 grad_norm: 19.7176 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4563 loss: 1.4563 2022/07/30 05:27:22 - mmengine - INFO - Epoch(train) [22][2460/2505] lr: 5.0000e-04 eta: 1 day, 1:00:08 time: 0.9002 data_time: 0.0314 memory: 32703 grad_norm: 19.0775 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6815 loss: 1.6815 2022/07/30 05:27:44 - mmengine - INFO - Epoch(train) [22][2480/2505] lr: 5.0000e-04 eta: 1 day, 0:59:51 time: 1.0867 data_time: 0.0264 memory: 32703 grad_norm: 19.5709 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.4674 loss: 1.4674 2022/07/30 05:27:59 - mmengine - INFO - Epoch(train) [22][2500/2505] lr: 5.0000e-04 eta: 1 day, 0:59:23 time: 0.7535 data_time: 0.0278 memory: 32703 grad_norm: 20.4544 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3416 loss: 1.3416 2022/07/30 05:28:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 05:28:02 - mmengine - INFO - Epoch(train) [22][2505/2505] lr: 5.0000e-04 eta: 1 day, 0:59:23 time: 0.7129 data_time: 0.0189 memory: 32703 grad_norm: 21.0079 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.4447 loss: 1.4447 2022/07/30 05:28:02 - mmengine - INFO - Saving checkpoint at 22 epochs 2022/07/30 05:28:32 - mmengine - INFO - Epoch(train) [23][20/2505] lr: 5.0000e-04 eta: 1 day, 0:59:01 time: 1.3133 data_time: 0.7363 memory: 32703 grad_norm: 19.4752 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4093 loss: 1.4093 2022/07/30 05:28:50 - mmengine - INFO - Epoch(train) [23][40/2505] lr: 5.0000e-04 eta: 1 day, 0:58:38 time: 0.9055 data_time: 0.3087 memory: 32703 grad_norm: 18.9717 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2562 loss: 1.2562 2022/07/30 05:29:10 - mmengine - INFO - Epoch(train) [23][60/2505] lr: 5.0000e-04 eta: 1 day, 0:58:18 time: 1.0005 data_time: 0.4310 memory: 32703 grad_norm: 18.8309 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1759 loss: 1.1759 2022/07/30 05:29:28 - mmengine - INFO - Epoch(train) [23][80/2505] lr: 5.0000e-04 eta: 1 day, 0:57:55 time: 0.9063 data_time: 0.2937 memory: 32703 grad_norm: 19.8228 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0572 loss: 1.0572 2022/07/30 05:29:50 - mmengine - INFO - Epoch(train) [23][100/2505] lr: 5.0000e-04 eta: 1 day, 0:57:38 time: 1.0879 data_time: 0.3633 memory: 32703 grad_norm: 19.8483 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4825 loss: 1.4825 2022/07/30 05:30:09 - mmengine - INFO - Epoch(train) [23][120/2505] lr: 5.0000e-04 eta: 1 day, 0:57:16 time: 0.9541 data_time: 0.3466 memory: 32703 grad_norm: 20.5368 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5920 loss: 1.5920 2022/07/30 05:30:30 - mmengine - INFO - Epoch(train) [23][140/2505] lr: 5.0000e-04 eta: 1 day, 0:56:58 time: 1.0545 data_time: 0.3982 memory: 32703 grad_norm: 20.2443 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3723 loss: 1.3723 2022/07/30 05:30:48 - mmengine - INFO - Epoch(train) [23][160/2505] lr: 5.0000e-04 eta: 1 day, 0:56:35 time: 0.9039 data_time: 0.2335 memory: 32703 grad_norm: 20.1000 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7105 loss: 1.7105 2022/07/30 05:31:09 - mmengine - INFO - Epoch(train) [23][180/2505] lr: 5.0000e-04 eta: 1 day, 0:56:18 time: 1.0687 data_time: 0.3574 memory: 32703 grad_norm: 19.1305 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5417 loss: 1.5417 2022/07/30 05:31:28 - mmengine - INFO - Epoch(train) [23][200/2505] lr: 5.0000e-04 eta: 1 day, 0:55:56 time: 0.9513 data_time: 0.3425 memory: 32703 grad_norm: 20.4034 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6909 loss: 1.6909 2022/07/30 05:31:50 - mmengine - INFO - Epoch(train) [23][220/2505] lr: 5.0000e-04 eta: 1 day, 0:55:39 time: 1.0654 data_time: 0.2280 memory: 32703 grad_norm: 19.9408 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3520 loss: 1.3520 2022/07/30 05:32:07 - mmengine - INFO - Epoch(train) [23][240/2505] lr: 5.0000e-04 eta: 1 day, 0:55:14 time: 0.8529 data_time: 0.1801 memory: 32703 grad_norm: 19.3634 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5680 loss: 1.5680 2022/07/30 05:32:29 - mmengine - INFO - Epoch(train) [23][260/2505] lr: 5.0000e-04 eta: 1 day, 0:54:57 time: 1.0850 data_time: 0.4648 memory: 32703 grad_norm: 19.8995 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4575 loss: 1.4575 2022/07/30 05:32:46 - mmengine - INFO - Epoch(train) [23][280/2505] lr: 5.0000e-04 eta: 1 day, 0:54:33 time: 0.8651 data_time: 0.2907 memory: 32703 grad_norm: 20.3681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7183 loss: 1.7183 2022/07/30 05:33:07 - mmengine - INFO - Epoch(train) [23][300/2505] lr: 5.0000e-04 eta: 1 day, 0:54:15 time: 1.0790 data_time: 0.3922 memory: 32703 grad_norm: 19.2438 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3151 loss: 1.3151 2022/07/30 05:33:25 - mmengine - INFO - Epoch(train) [23][320/2505] lr: 5.0000e-04 eta: 1 day, 0:53:51 time: 0.8643 data_time: 0.2840 memory: 32703 grad_norm: 18.9702 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3274 loss: 1.3274 2022/07/30 05:33:45 - mmengine - INFO - Epoch(train) [23][340/2505] lr: 5.0000e-04 eta: 1 day, 0:53:32 time: 1.0299 data_time: 0.4277 memory: 32703 grad_norm: 20.6393 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2978 loss: 1.2978 2022/07/30 05:34:03 - mmengine - INFO - Epoch(train) [23][360/2505] lr: 5.0000e-04 eta: 1 day, 0:53:09 time: 0.9018 data_time: 0.3025 memory: 32703 grad_norm: 19.9850 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5311 loss: 1.5311 2022/07/30 05:34:25 - mmengine - INFO - Epoch(train) [23][380/2505] lr: 5.0000e-04 eta: 1 day, 0:52:51 time: 1.0694 data_time: 0.4895 memory: 32703 grad_norm: 20.5067 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5758 loss: 1.5758 2022/07/30 05:34:43 - mmengine - INFO - Epoch(train) [23][400/2505] lr: 5.0000e-04 eta: 1 day, 0:52:29 time: 0.9248 data_time: 0.3346 memory: 32703 grad_norm: 19.3950 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4026 loss: 1.4026 2022/07/30 05:35:05 - mmengine - INFO - Epoch(train) [23][420/2505] lr: 5.0000e-04 eta: 1 day, 0:52:12 time: 1.0833 data_time: 0.4834 memory: 32703 grad_norm: 20.3405 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3337 loss: 1.3337 2022/07/30 05:35:24 - mmengine - INFO - Epoch(train) [23][440/2505] lr: 5.0000e-04 eta: 1 day, 0:51:50 time: 0.9356 data_time: 0.3498 memory: 32703 grad_norm: 20.0349 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3310 loss: 1.3310 2022/07/30 05:35:45 - mmengine - INFO - Epoch(train) [23][460/2505] lr: 5.0000e-04 eta: 1 day, 0:51:32 time: 1.0632 data_time: 0.4609 memory: 32703 grad_norm: 19.7945 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5350 loss: 1.5350 2022/07/30 05:36:03 - mmengine - INFO - Epoch(train) [23][480/2505] lr: 5.0000e-04 eta: 1 day, 0:51:09 time: 0.9011 data_time: 0.3250 memory: 32703 grad_norm: 19.8032 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2538 loss: 1.2538 2022/07/30 05:36:25 - mmengine - INFO - Epoch(train) [23][500/2505] lr: 5.0000e-04 eta: 1 day, 0:50:52 time: 1.0809 data_time: 0.4946 memory: 32703 grad_norm: 20.1026 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5230 loss: 1.5230 2022/07/30 05:36:43 - mmengine - INFO - Epoch(train) [23][520/2505] lr: 5.0000e-04 eta: 1 day, 0:50:29 time: 0.9214 data_time: 0.3499 memory: 32703 grad_norm: 19.7447 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4449 loss: 1.4449 2022/07/30 05:37:03 - mmengine - INFO - Epoch(train) [23][540/2505] lr: 5.0000e-04 eta: 1 day, 0:50:10 time: 1.0269 data_time: 0.4575 memory: 32703 grad_norm: 19.7047 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4478 loss: 1.4478 2022/07/30 05:37:22 - mmengine - INFO - Epoch(train) [23][560/2505] lr: 5.0000e-04 eta: 1 day, 0:49:47 time: 0.9049 data_time: 0.2960 memory: 32703 grad_norm: 20.0015 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5986 loss: 1.5986 2022/07/30 05:37:42 - mmengine - INFO - Epoch(train) [23][580/2505] lr: 5.0000e-04 eta: 1 day, 0:49:29 time: 1.0423 data_time: 0.4251 memory: 32703 grad_norm: 20.4453 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1953 loss: 1.1953 2022/07/30 05:38:03 - mmengine - INFO - Epoch(train) [23][600/2505] lr: 5.0000e-04 eta: 1 day, 0:49:11 time: 1.0445 data_time: 0.1657 memory: 32703 grad_norm: 20.4750 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4456 loss: 1.4456 2022/07/30 05:38:22 - mmengine - INFO - Epoch(train) [23][620/2505] lr: 5.0000e-04 eta: 1 day, 0:48:49 time: 0.9538 data_time: 0.1779 memory: 32703 grad_norm: 19.3347 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4615 loss: 1.4615 2022/07/30 05:38:42 - mmengine - INFO - Epoch(train) [23][640/2505] lr: 5.0000e-04 eta: 1 day, 0:48:28 time: 0.9594 data_time: 0.1449 memory: 32703 grad_norm: 19.2146 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5797 loss: 1.5797 2022/07/30 05:39:01 - mmengine - INFO - Epoch(train) [23][660/2505] lr: 5.0000e-04 eta: 1 day, 0:48:07 time: 0.9761 data_time: 0.2041 memory: 32703 grad_norm: 19.0722 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.4839 loss: 1.4839 2022/07/30 05:39:21 - mmengine - INFO - Epoch(train) [23][680/2505] lr: 5.0000e-04 eta: 1 day, 0:47:47 time: 0.9970 data_time: 0.1797 memory: 32703 grad_norm: 20.7184 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2171 loss: 1.2171 2022/07/30 05:39:41 - mmengine - INFO - Epoch(train) [23][700/2505] lr: 5.0000e-04 eta: 1 day, 0:47:27 time: 0.9788 data_time: 0.1633 memory: 32703 grad_norm: 19.8950 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3592 loss: 1.3592 2022/07/30 05:40:00 - mmengine - INFO - Epoch(train) [23][720/2505] lr: 5.0000e-04 eta: 1 day, 0:47:06 time: 0.9831 data_time: 0.2117 memory: 32703 grad_norm: 19.5379 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3234 loss: 1.3234 2022/07/30 05:40:21 - mmengine - INFO - Epoch(train) [23][740/2505] lr: 5.0000e-04 eta: 1 day, 0:46:48 time: 1.0330 data_time: 0.2999 memory: 32703 grad_norm: 20.1719 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5463 loss: 1.5463 2022/07/30 05:40:40 - mmengine - INFO - Epoch(train) [23][760/2505] lr: 5.0000e-04 eta: 1 day, 0:46:26 time: 0.9554 data_time: 0.2081 memory: 32703 grad_norm: 20.5625 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3377 loss: 1.3377 2022/07/30 05:41:00 - mmengine - INFO - Epoch(train) [23][780/2505] lr: 5.0000e-04 eta: 1 day, 0:46:07 time: 1.0118 data_time: 0.2383 memory: 32703 grad_norm: 18.9051 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2767 loss: 1.2767 2022/07/30 05:41:19 - mmengine - INFO - Epoch(train) [23][800/2505] lr: 5.0000e-04 eta: 1 day, 0:45:44 time: 0.9196 data_time: 0.2359 memory: 32703 grad_norm: 19.7832 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3738 loss: 1.3738 2022/07/30 05:41:39 - mmengine - INFO - Epoch(train) [23][820/2505] lr: 5.0000e-04 eta: 1 day, 0:45:26 time: 1.0366 data_time: 0.3835 memory: 32703 grad_norm: 19.4426 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4914 loss: 1.4914 2022/07/30 05:41:58 - mmengine - INFO - Epoch(train) [23][840/2505] lr: 5.0000e-04 eta: 1 day, 0:45:03 time: 0.9169 data_time: 0.2642 memory: 32703 grad_norm: 19.0079 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3937 loss: 1.3937 2022/07/30 05:42:19 - mmengine - INFO - Epoch(train) [23][860/2505] lr: 5.0000e-04 eta: 1 day, 0:44:46 time: 1.0751 data_time: 0.2565 memory: 32703 grad_norm: 20.0448 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5526 loss: 1.5526 2022/07/30 05:42:37 - mmengine - INFO - Epoch(train) [23][880/2505] lr: 5.0000e-04 eta: 1 day, 0:44:23 time: 0.9056 data_time: 0.1737 memory: 32703 grad_norm: 20.2381 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3880 loss: 1.3880 2022/07/30 05:42:49 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 05:43:00 - mmengine - INFO - Epoch(train) [23][900/2505] lr: 5.0000e-04 eta: 1 day, 0:44:06 time: 1.1021 data_time: 0.4588 memory: 32703 grad_norm: 19.3192 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4329 loss: 1.4329 2022/07/30 05:43:17 - mmengine - INFO - Epoch(train) [23][920/2505] lr: 5.0000e-04 eta: 1 day, 0:43:43 time: 0.8949 data_time: 0.2617 memory: 32703 grad_norm: 20.0739 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5869 loss: 1.5869 2022/07/30 05:43:39 - mmengine - INFO - Epoch(train) [23][940/2505] lr: 5.0000e-04 eta: 1 day, 0:43:26 time: 1.0787 data_time: 0.2623 memory: 32703 grad_norm: 20.2511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5091 loss: 1.5091 2022/07/30 05:43:57 - mmengine - INFO - Epoch(train) [23][960/2505] lr: 5.0000e-04 eta: 1 day, 0:43:02 time: 0.8924 data_time: 0.1938 memory: 32703 grad_norm: 19.2650 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3901 loss: 1.3901 2022/07/30 05:44:17 - mmengine - INFO - Epoch(train) [23][980/2505] lr: 5.0000e-04 eta: 1 day, 0:42:43 time: 1.0260 data_time: 0.2090 memory: 32703 grad_norm: 19.0300 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6839 loss: 1.6839 2022/07/30 05:44:36 - mmengine - INFO - Epoch(train) [23][1000/2505] lr: 5.0000e-04 eta: 1 day, 0:42:21 time: 0.9223 data_time: 0.3279 memory: 32703 grad_norm: 19.5532 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.5934 loss: 1.5934 2022/07/30 05:44:58 - mmengine - INFO - Epoch(train) [23][1020/2505] lr: 5.0000e-04 eta: 1 day, 0:42:05 time: 1.1036 data_time: 0.5265 memory: 32703 grad_norm: 19.9939 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6260 loss: 1.6260 2022/07/30 05:45:17 - mmengine - INFO - Epoch(train) [23][1040/2505] lr: 5.0000e-04 eta: 1 day, 0:41:43 time: 0.9333 data_time: 0.3572 memory: 32703 grad_norm: 20.1225 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4828 loss: 1.4828 2022/07/30 05:45:38 - mmengine - INFO - Epoch(train) [23][1060/2505] lr: 5.0000e-04 eta: 1 day, 0:41:25 time: 1.0770 data_time: 0.4877 memory: 32703 grad_norm: 20.2182 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4021 loss: 1.4021 2022/07/30 05:45:57 - mmengine - INFO - Epoch(train) [23][1080/2505] lr: 5.0000e-04 eta: 1 day, 0:41:04 time: 0.9600 data_time: 0.3681 memory: 32703 grad_norm: 19.5898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4188 loss: 1.4188 2022/07/30 05:46:17 - mmengine - INFO - Epoch(train) [23][1100/2505] lr: 5.0000e-04 eta: 1 day, 0:40:43 time: 0.9706 data_time: 0.3831 memory: 32703 grad_norm: 18.8522 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7076 loss: 1.7076 2022/07/30 05:46:34 - mmengine - INFO - Epoch(train) [23][1120/2505] lr: 5.0000e-04 eta: 1 day, 0:40:19 time: 0.8702 data_time: 0.2919 memory: 32703 grad_norm: 20.7430 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6341 loss: 1.6341 2022/07/30 05:46:56 - mmengine - INFO - Epoch(train) [23][1140/2505] lr: 5.0000e-04 eta: 1 day, 0:40:02 time: 1.0685 data_time: 0.4815 memory: 32703 grad_norm: 19.8300 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3262 loss: 1.3262 2022/07/30 05:47:14 - mmengine - INFO - Epoch(train) [23][1160/2505] lr: 5.0000e-04 eta: 1 day, 0:39:39 time: 0.9123 data_time: 0.3229 memory: 32703 grad_norm: 19.4181 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3498 loss: 1.3498 2022/07/30 05:47:35 - mmengine - INFO - Epoch(train) [23][1180/2505] lr: 5.0000e-04 eta: 1 day, 0:39:21 time: 1.0598 data_time: 0.4761 memory: 32703 grad_norm: 19.4111 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4364 loss: 1.4364 2022/07/30 05:47:53 - mmengine - INFO - Epoch(train) [23][1200/2505] lr: 5.0000e-04 eta: 1 day, 0:38:58 time: 0.9161 data_time: 0.3432 memory: 32703 grad_norm: 19.3806 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5710 loss: 1.5710 2022/07/30 05:48:15 - mmengine - INFO - Epoch(train) [23][1220/2505] lr: 5.0000e-04 eta: 1 day, 0:38:41 time: 1.0693 data_time: 0.4783 memory: 32703 grad_norm: 19.4049 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3207 loss: 1.3207 2022/07/30 05:48:33 - mmengine - INFO - Epoch(train) [23][1240/2505] lr: 5.0000e-04 eta: 1 day, 0:38:19 time: 0.9264 data_time: 0.3401 memory: 32703 grad_norm: 19.5544 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6191 loss: 1.6191 2022/07/30 05:48:54 - mmengine - INFO - Epoch(train) [23][1260/2505] lr: 5.0000e-04 eta: 1 day, 0:38:00 time: 1.0547 data_time: 0.4565 memory: 32703 grad_norm: 19.4778 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.2884 loss: 1.2884 2022/07/30 05:49:13 - mmengine - INFO - Epoch(train) [23][1280/2505] lr: 5.0000e-04 eta: 1 day, 0:37:38 time: 0.9325 data_time: 0.3379 memory: 32703 grad_norm: 19.9939 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3572 loss: 1.3572 2022/07/30 05:49:34 - mmengine - INFO - Epoch(train) [23][1300/2505] lr: 5.0000e-04 eta: 1 day, 0:37:20 time: 1.0611 data_time: 0.4923 memory: 32703 grad_norm: 20.0180 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5898 loss: 1.5898 2022/07/30 05:49:53 - mmengine - INFO - Epoch(train) [23][1320/2505] lr: 5.0000e-04 eta: 1 day, 0:36:59 time: 0.9357 data_time: 0.3405 memory: 32703 grad_norm: 19.9406 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2189 loss: 1.2189 2022/07/30 05:50:14 - mmengine - INFO - Epoch(train) [23][1340/2505] lr: 5.0000e-04 eta: 1 day, 0:36:41 time: 1.0667 data_time: 0.4837 memory: 32703 grad_norm: 20.4192 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.3809 loss: 1.3809 2022/07/30 05:50:32 - mmengine - INFO - Epoch(train) [23][1360/2505] lr: 5.0000e-04 eta: 1 day, 0:36:18 time: 0.8986 data_time: 0.3148 memory: 32703 grad_norm: 19.6098 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2968 loss: 1.2968 2022/07/30 05:50:53 - mmengine - INFO - Epoch(train) [23][1380/2505] lr: 5.0000e-04 eta: 1 day, 0:35:59 time: 1.0459 data_time: 0.4439 memory: 32703 grad_norm: 19.6149 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0518 loss: 1.0518 2022/07/30 05:51:10 - mmengine - INFO - Epoch(train) [23][1400/2505] lr: 5.0000e-04 eta: 1 day, 0:35:35 time: 0.8615 data_time: 0.2855 memory: 32703 grad_norm: 19.7579 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.5274 loss: 1.5274 2022/07/30 05:51:32 - mmengine - INFO - Epoch(train) [23][1420/2505] lr: 5.0000e-04 eta: 1 day, 0:35:18 time: 1.0861 data_time: 0.4952 memory: 32703 grad_norm: 19.4376 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4992 loss: 1.4992 2022/07/30 05:51:50 - mmengine - INFO - Epoch(train) [23][1440/2505] lr: 5.0000e-04 eta: 1 day, 0:34:55 time: 0.8899 data_time: 0.2958 memory: 32703 grad_norm: 20.1950 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3981 loss: 1.3981 2022/07/30 05:52:11 - mmengine - INFO - Epoch(train) [23][1460/2505] lr: 5.0000e-04 eta: 1 day, 0:34:37 time: 1.0604 data_time: 0.4354 memory: 32703 grad_norm: 20.0104 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2845 loss: 1.2845 2022/07/30 05:52:30 - mmengine - INFO - Epoch(train) [23][1480/2505] lr: 5.0000e-04 eta: 1 day, 0:34:16 time: 0.9659 data_time: 0.3082 memory: 32703 grad_norm: 19.9401 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2211 loss: 1.2211 2022/07/30 05:52:51 - mmengine - INFO - Epoch(train) [23][1500/2505] lr: 5.0000e-04 eta: 1 day, 0:33:57 time: 1.0241 data_time: 0.2974 memory: 32703 grad_norm: 18.8331 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6020 loss: 1.6020 2022/07/30 05:53:10 - mmengine - INFO - Epoch(train) [23][1520/2505] lr: 5.0000e-04 eta: 1 day, 0:33:35 time: 0.9335 data_time: 0.2509 memory: 32703 grad_norm: 19.8636 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.3543 loss: 1.3543 2022/07/30 05:53:30 - mmengine - INFO - Epoch(train) [23][1540/2505] lr: 5.0000e-04 eta: 1 day, 0:33:15 time: 1.0016 data_time: 0.3619 memory: 32703 grad_norm: 19.5173 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4426 loss: 1.4426 2022/07/30 05:53:49 - mmengine - INFO - Epoch(train) [23][1560/2505] lr: 5.0000e-04 eta: 1 day, 0:32:54 time: 0.9530 data_time: 0.2228 memory: 32703 grad_norm: 19.7806 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4010 loss: 1.4010 2022/07/30 05:54:09 - mmengine - INFO - Epoch(train) [23][1580/2505] lr: 5.0000e-04 eta: 1 day, 0:32:34 time: 1.0023 data_time: 0.2660 memory: 32703 grad_norm: 19.9433 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2772 loss: 1.2772 2022/07/30 05:54:28 - mmengine - INFO - Epoch(train) [23][1600/2505] lr: 5.0000e-04 eta: 1 day, 0:32:13 time: 0.9673 data_time: 0.1945 memory: 32703 grad_norm: 19.8229 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4837 loss: 1.4837 2022/07/30 05:54:48 - mmengine - INFO - Epoch(train) [23][1620/2505] lr: 5.0000e-04 eta: 1 day, 0:31:53 time: 1.0121 data_time: 0.3361 memory: 32703 grad_norm: 19.6931 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4362 loss: 1.4362 2022/07/30 05:55:07 - mmengine - INFO - Epoch(train) [23][1640/2505] lr: 5.0000e-04 eta: 1 day, 0:31:31 time: 0.9272 data_time: 0.2886 memory: 32703 grad_norm: 19.5122 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4300 loss: 1.4300 2022/07/30 05:55:27 - mmengine - INFO - Epoch(train) [23][1660/2505] lr: 5.0000e-04 eta: 1 day, 0:31:12 time: 1.0228 data_time: 0.3778 memory: 32703 grad_norm: 19.2906 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5318 loss: 1.5318 2022/07/30 05:55:48 - mmengine - INFO - Epoch(train) [23][1680/2505] lr: 5.0000e-04 eta: 1 day, 0:30:53 time: 1.0169 data_time: 0.1428 memory: 32703 grad_norm: 19.9922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3788 loss: 1.3788 2022/07/30 05:56:06 - mmengine - INFO - Epoch(train) [23][1700/2505] lr: 5.0000e-04 eta: 1 day, 0:30:31 time: 0.9237 data_time: 0.0927 memory: 32703 grad_norm: 19.3129 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4489 loss: 1.4489 2022/07/30 05:56:27 - mmengine - INFO - Epoch(train) [23][1720/2505] lr: 5.0000e-04 eta: 1 day, 0:30:11 time: 1.0141 data_time: 0.0955 memory: 32703 grad_norm: 19.5263 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4291 loss: 1.4291 2022/07/30 05:56:46 - mmengine - INFO - Epoch(train) [23][1740/2505] lr: 5.0000e-04 eta: 1 day, 0:29:50 time: 0.9686 data_time: 0.2327 memory: 32703 grad_norm: 20.0594 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5812 loss: 1.5812 2022/07/30 05:57:04 - mmengine - INFO - Epoch(train) [23][1760/2505] lr: 5.0000e-04 eta: 1 day, 0:29:28 time: 0.9286 data_time: 0.1898 memory: 32703 grad_norm: 19.5501 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4383 loss: 1.4383 2022/07/30 05:57:25 - mmengine - INFO - Epoch(train) [23][1780/2505] lr: 5.0000e-04 eta: 1 day, 0:29:09 time: 1.0087 data_time: 0.3582 memory: 32703 grad_norm: 20.6208 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3312 loss: 1.3312 2022/07/30 05:57:43 - mmengine - INFO - Epoch(train) [23][1800/2505] lr: 5.0000e-04 eta: 1 day, 0:28:46 time: 0.9190 data_time: 0.3210 memory: 32703 grad_norm: 19.5943 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.6423 loss: 1.6423 2022/07/30 05:58:04 - mmengine - INFO - Epoch(train) [23][1820/2505] lr: 5.0000e-04 eta: 1 day, 0:28:28 time: 1.0349 data_time: 0.4170 memory: 32703 grad_norm: 19.8203 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4041 loss: 1.4041 2022/07/30 05:58:23 - mmengine - INFO - Epoch(train) [23][1840/2505] lr: 5.0000e-04 eta: 1 day, 0:28:06 time: 0.9409 data_time: 0.2211 memory: 32703 grad_norm: 19.2272 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4958 loss: 1.4958 2022/07/30 05:58:44 - mmengine - INFO - Epoch(train) [23][1860/2505] lr: 5.0000e-04 eta: 1 day, 0:27:48 time: 1.0546 data_time: 0.1859 memory: 32703 grad_norm: 19.6146 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3202 loss: 1.3202 2022/07/30 05:59:03 - mmengine - INFO - Epoch(train) [23][1880/2505] lr: 5.0000e-04 eta: 1 day, 0:27:26 time: 0.9520 data_time: 0.0977 memory: 32703 grad_norm: 20.4182 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2897 loss: 1.2897 2022/07/30 05:59:12 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 05:59:22 - mmengine - INFO - Epoch(train) [23][1900/2505] lr: 5.0000e-04 eta: 1 day, 0:27:06 time: 0.9934 data_time: 0.1760 memory: 32703 grad_norm: 20.4729 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7561 loss: 1.7561 2022/07/30 05:59:42 - mmengine - INFO - Epoch(train) [23][1920/2505] lr: 5.0000e-04 eta: 1 day, 0:26:45 time: 0.9659 data_time: 0.2392 memory: 32703 grad_norm: 19.0244 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5033 loss: 1.5033 2022/07/30 06:00:05 - mmengine - INFO - Epoch(train) [23][1940/2505] lr: 5.0000e-04 eta: 1 day, 0:26:31 time: 1.1762 data_time: 0.1666 memory: 32703 grad_norm: 18.9844 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1218 loss: 1.1218 2022/07/30 06:00:22 - mmengine - INFO - Epoch(train) [23][1960/2505] lr: 5.0000e-04 eta: 1 day, 0:26:06 time: 0.8469 data_time: 0.1624 memory: 32703 grad_norm: 19.5873 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3578 loss: 1.3578 2022/07/30 06:00:42 - mmengine - INFO - Epoch(train) [23][1980/2505] lr: 5.0000e-04 eta: 1 day, 0:25:47 time: 1.0074 data_time: 0.2044 memory: 32703 grad_norm: 20.4800 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2522 loss: 1.2522 2022/07/30 06:01:01 - mmengine - INFO - Epoch(train) [23][2000/2505] lr: 5.0000e-04 eta: 1 day, 0:25:25 time: 0.9414 data_time: 0.1508 memory: 32703 grad_norm: 20.6232 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3329 loss: 1.3329 2022/07/30 06:01:22 - mmengine - INFO - Epoch(train) [23][2020/2505] lr: 5.0000e-04 eta: 1 day, 0:25:06 time: 1.0324 data_time: 0.1661 memory: 32703 grad_norm: 19.2860 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6535 loss: 1.6535 2022/07/30 06:01:43 - mmengine - INFO - Epoch(train) [23][2040/2505] lr: 5.0000e-04 eta: 1 day, 0:24:48 time: 1.0470 data_time: 0.3649 memory: 32703 grad_norm: 20.0276 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5639 loss: 1.5639 2022/07/30 06:02:02 - mmengine - INFO - Epoch(train) [23][2060/2505] lr: 5.0000e-04 eta: 1 day, 0:24:26 time: 0.9346 data_time: 0.3143 memory: 32703 grad_norm: 19.2017 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2615 loss: 1.2615 2022/07/30 06:02:21 - mmengine - INFO - Epoch(train) [23][2080/2505] lr: 5.0000e-04 eta: 1 day, 0:24:06 time: 0.9818 data_time: 0.3821 memory: 32703 grad_norm: 19.9674 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1869 loss: 1.1869 2022/07/30 06:02:41 - mmengine - INFO - Epoch(train) [23][2100/2505] lr: 5.0000e-04 eta: 1 day, 0:23:45 time: 0.9872 data_time: 0.2975 memory: 32703 grad_norm: 19.1464 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3306 loss: 1.3306 2022/07/30 06:02:59 - mmengine - INFO - Epoch(train) [23][2120/2505] lr: 5.0000e-04 eta: 1 day, 0:23:23 time: 0.9233 data_time: 0.2279 memory: 32703 grad_norm: 19.4014 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4264 loss: 1.4264 2022/07/30 06:03:20 - mmengine - INFO - Epoch(train) [23][2140/2505] lr: 5.0000e-04 eta: 1 day, 0:23:05 time: 1.0518 data_time: 0.3054 memory: 32703 grad_norm: 20.4513 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5229 loss: 1.5229 2022/07/30 06:03:38 - mmengine - INFO - Epoch(train) [23][2160/2505] lr: 5.0000e-04 eta: 1 day, 0:22:41 time: 0.8858 data_time: 0.2680 memory: 32703 grad_norm: 18.9681 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4674 loss: 1.4674 2022/07/30 06:03:59 - mmengine - INFO - Epoch(train) [23][2180/2505] lr: 5.0000e-04 eta: 1 day, 0:22:23 time: 1.0543 data_time: 0.2994 memory: 32703 grad_norm: 19.8013 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5638 loss: 1.5638 2022/07/30 06:04:17 - mmengine - INFO - Epoch(train) [23][2200/2505] lr: 5.0000e-04 eta: 1 day, 0:22:00 time: 0.8988 data_time: 0.2027 memory: 32703 grad_norm: 20.0358 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4483 loss: 1.4483 2022/07/30 06:04:39 - mmengine - INFO - Epoch(train) [23][2220/2505] lr: 5.0000e-04 eta: 1 day, 0:21:44 time: 1.1049 data_time: 0.2978 memory: 32703 grad_norm: 20.1240 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4241 loss: 1.4241 2022/07/30 06:04:58 - mmengine - INFO - Epoch(train) [23][2240/2505] lr: 5.0000e-04 eta: 1 day, 0:21:22 time: 0.9415 data_time: 0.2435 memory: 32703 grad_norm: 19.6795 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5476 loss: 1.5476 2022/07/30 06:05:20 - mmengine - INFO - Epoch(train) [23][2260/2505] lr: 5.0000e-04 eta: 1 day, 0:21:05 time: 1.0859 data_time: 0.3771 memory: 32703 grad_norm: 19.3640 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4037 loss: 1.4037 2022/07/30 06:05:39 - mmengine - INFO - Epoch(train) [23][2280/2505] lr: 5.0000e-04 eta: 1 day, 0:20:44 time: 0.9671 data_time: 0.3094 memory: 32703 grad_norm: 20.2239 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4215 loss: 1.4215 2022/07/30 06:05:59 - mmengine - INFO - Epoch(train) [23][2300/2505] lr: 5.0000e-04 eta: 1 day, 0:20:23 time: 0.9663 data_time: 0.3766 memory: 32703 grad_norm: 19.7370 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5346 loss: 1.5346 2022/07/30 06:06:17 - mmengine - INFO - Epoch(train) [23][2320/2505] lr: 5.0000e-04 eta: 1 day, 0:20:01 time: 0.9323 data_time: 0.3574 memory: 32703 grad_norm: 19.4043 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4458 loss: 1.4458 2022/07/30 06:06:36 - mmengine - INFO - Epoch(train) [23][2340/2505] lr: 5.0000e-04 eta: 1 day, 0:19:40 time: 0.9534 data_time: 0.3390 memory: 32703 grad_norm: 19.6595 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3674 loss: 1.3674 2022/07/30 06:06:57 - mmengine - INFO - Epoch(train) [23][2360/2505] lr: 5.0000e-04 eta: 1 day, 0:19:21 time: 1.0183 data_time: 0.4325 memory: 32703 grad_norm: 19.7423 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3252 loss: 1.3252 2022/07/30 06:07:16 - mmengine - INFO - Epoch(train) [23][2380/2505] lr: 5.0000e-04 eta: 1 day, 0:19:00 time: 0.9658 data_time: 0.3552 memory: 32703 grad_norm: 20.4306 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.3397 loss: 1.3397 2022/07/30 06:07:36 - mmengine - INFO - Epoch(train) [23][2400/2505] lr: 5.0000e-04 eta: 1 day, 0:18:39 time: 0.9761 data_time: 0.2893 memory: 32703 grad_norm: 18.9050 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2145 loss: 1.2145 2022/07/30 06:07:57 - mmengine - INFO - Epoch(train) [23][2420/2505] lr: 5.0000e-04 eta: 1 day, 0:18:21 time: 1.0690 data_time: 0.1067 memory: 32703 grad_norm: 19.5487 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5975 loss: 1.5975 2022/07/30 06:08:16 - mmengine - INFO - Epoch(train) [23][2440/2505] lr: 5.0000e-04 eta: 1 day, 0:18:00 time: 0.9597 data_time: 0.0546 memory: 32703 grad_norm: 19.6755 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5978 loss: 1.5978 2022/07/30 06:08:38 - mmengine - INFO - Epoch(train) [23][2460/2505] lr: 5.0000e-04 eta: 1 day, 0:17:43 time: 1.0730 data_time: 0.0297 memory: 32703 grad_norm: 20.5537 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5620 loss: 1.5620 2022/07/30 06:08:55 - mmengine - INFO - Epoch(train) [23][2480/2505] lr: 5.0000e-04 eta: 1 day, 0:17:20 time: 0.8920 data_time: 0.0337 memory: 32703 grad_norm: 19.7023 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3880 loss: 1.3880 2022/07/30 06:09:13 - mmengine - INFO - Epoch(train) [23][2500/2505] lr: 5.0000e-04 eta: 1 day, 0:16:57 time: 0.8995 data_time: 0.0294 memory: 32703 grad_norm: 19.0283 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3068 loss: 1.3068 2022/07/30 06:09:16 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 06:09:16 - mmengine - INFO - Epoch(train) [23][2505/2505] lr: 5.0000e-04 eta: 1 day, 0:16:57 time: 0.7281 data_time: 0.0218 memory: 32703 grad_norm: 19.3602 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.4476 loss: 1.4476 2022/07/30 06:09:44 - mmengine - INFO - Epoch(train) [24][20/2505] lr: 5.0000e-04 eta: 1 day, 0:16:36 time: 1.3875 data_time: 0.7355 memory: 32703 grad_norm: 19.2495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4289 loss: 1.4289 2022/07/30 06:10:03 - mmengine - INFO - Epoch(train) [24][40/2505] lr: 5.0000e-04 eta: 1 day, 0:16:15 time: 0.9719 data_time: 0.0998 memory: 32703 grad_norm: 20.1760 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6026 loss: 1.6026 2022/07/30 06:10:24 - mmengine - INFO - Epoch(train) [24][60/2505] lr: 5.0000e-04 eta: 1 day, 0:15:56 time: 1.0083 data_time: 0.0540 memory: 32703 grad_norm: 19.1379 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2614 loss: 1.2614 2022/07/30 06:10:42 - mmengine - INFO - Epoch(train) [24][80/2505] lr: 5.0000e-04 eta: 1 day, 0:15:34 time: 0.9227 data_time: 0.0537 memory: 32703 grad_norm: 19.2464 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4567 loss: 1.4567 2022/07/30 06:11:03 - mmengine - INFO - Epoch(train) [24][100/2505] lr: 5.0000e-04 eta: 1 day, 0:15:16 time: 1.0689 data_time: 0.0945 memory: 32703 grad_norm: 19.7062 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5574 loss: 1.5574 2022/07/30 06:11:21 - mmengine - INFO - Epoch(train) [24][120/2505] lr: 5.0000e-04 eta: 1 day, 0:14:52 time: 0.8750 data_time: 0.0314 memory: 32703 grad_norm: 19.7481 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2874 loss: 1.2874 2022/07/30 06:11:42 - mmengine - INFO - Epoch(train) [24][140/2505] lr: 5.0000e-04 eta: 1 day, 0:14:34 time: 1.0727 data_time: 0.0493 memory: 32703 grad_norm: 19.7201 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3394 loss: 1.3394 2022/07/30 06:12:01 - mmengine - INFO - Epoch(train) [24][160/2505] lr: 5.0000e-04 eta: 1 day, 0:14:12 time: 0.9085 data_time: 0.0476 memory: 32703 grad_norm: 19.0521 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3677 loss: 1.3677 2022/07/30 06:12:23 - mmengine - INFO - Epoch(train) [24][180/2505] lr: 5.0000e-04 eta: 1 day, 0:13:55 time: 1.0933 data_time: 0.0284 memory: 32703 grad_norm: 19.9557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2292 loss: 1.2292 2022/07/30 06:12:41 - mmengine - INFO - Epoch(train) [24][200/2505] lr: 5.0000e-04 eta: 1 day, 0:13:33 time: 0.9235 data_time: 0.0350 memory: 32703 grad_norm: 20.7419 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7036 loss: 1.7036 2022/07/30 06:13:02 - mmengine - INFO - Epoch(train) [24][220/2505] lr: 5.0000e-04 eta: 1 day, 0:13:15 time: 1.0737 data_time: 0.0283 memory: 32703 grad_norm: 19.8683 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5568 loss: 1.5568 2022/07/30 06:13:21 - mmengine - INFO - Epoch(train) [24][240/2505] lr: 5.0000e-04 eta: 1 day, 0:12:52 time: 0.9072 data_time: 0.0465 memory: 32703 grad_norm: 19.3377 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2957 loss: 1.2957 2022/07/30 06:13:43 - mmengine - INFO - Epoch(train) [24][260/2505] lr: 5.0000e-04 eta: 1 day, 0:12:36 time: 1.1262 data_time: 0.0305 memory: 32703 grad_norm: 19.6597 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1226 loss: 1.1226 2022/07/30 06:14:01 - mmengine - INFO - Epoch(train) [24][280/2505] lr: 5.0000e-04 eta: 1 day, 0:12:14 time: 0.9045 data_time: 0.0342 memory: 32703 grad_norm: 20.7054 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.3725 loss: 1.3725 2022/07/30 06:14:22 - mmengine - INFO - Epoch(train) [24][300/2505] lr: 5.0000e-04 eta: 1 day, 0:11:55 time: 1.0431 data_time: 0.0345 memory: 32703 grad_norm: 19.3845 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4490 loss: 1.4490 2022/07/30 06:14:40 - mmengine - INFO - Epoch(train) [24][320/2505] lr: 5.0000e-04 eta: 1 day, 0:11:32 time: 0.8853 data_time: 0.0327 memory: 32703 grad_norm: 20.3452 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2352 loss: 1.2352 2022/07/30 06:15:02 - mmengine - INFO - Epoch(train) [24][340/2505] lr: 5.0000e-04 eta: 1 day, 0:11:15 time: 1.1093 data_time: 0.0283 memory: 32703 grad_norm: 19.5919 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5189 loss: 1.5189 2022/07/30 06:15:20 - mmengine - INFO - Epoch(train) [24][360/2505] lr: 5.0000e-04 eta: 1 day, 0:10:52 time: 0.9060 data_time: 0.0373 memory: 32703 grad_norm: 20.0963 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5354 loss: 1.5354 2022/07/30 06:15:41 - mmengine - INFO - Epoch(train) [24][380/2505] lr: 5.0000e-04 eta: 1 day, 0:10:35 time: 1.0655 data_time: 0.0308 memory: 32703 grad_norm: 19.6138 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5624 loss: 1.5624 2022/07/30 06:15:48 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 06:16:00 - mmengine - INFO - Epoch(train) [24][400/2505] lr: 5.0000e-04 eta: 1 day, 0:10:12 time: 0.9132 data_time: 0.0275 memory: 32703 grad_norm: 18.9906 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3894 loss: 1.3894 2022/07/30 06:16:21 - mmengine - INFO - Epoch(train) [24][420/2505] lr: 5.0000e-04 eta: 1 day, 0:09:55 time: 1.0840 data_time: 0.0306 memory: 32703 grad_norm: 19.9774 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5731 loss: 1.5731 2022/07/30 06:16:39 - mmengine - INFO - Epoch(train) [24][440/2505] lr: 5.0000e-04 eta: 1 day, 0:09:32 time: 0.9024 data_time: 0.0361 memory: 32703 grad_norm: 19.8336 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1840 loss: 1.1840 2022/07/30 06:17:01 - mmengine - INFO - Epoch(train) [24][460/2505] lr: 5.0000e-04 eta: 1 day, 0:09:15 time: 1.0908 data_time: 0.0278 memory: 32703 grad_norm: 19.1530 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3099 loss: 1.3099 2022/07/30 06:17:19 - mmengine - INFO - Epoch(train) [24][480/2505] lr: 5.0000e-04 eta: 1 day, 0:08:51 time: 0.8792 data_time: 0.0286 memory: 32703 grad_norm: 19.7429 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3049 loss: 1.3049 2022/07/30 06:17:40 - mmengine - INFO - Epoch(train) [24][500/2505] lr: 5.0000e-04 eta: 1 day, 0:08:33 time: 1.0428 data_time: 0.0287 memory: 32703 grad_norm: 19.6033 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5192 loss: 1.5192 2022/07/30 06:17:59 - mmengine - INFO - Epoch(train) [24][520/2505] lr: 5.0000e-04 eta: 1 day, 0:08:11 time: 0.9431 data_time: 0.0324 memory: 32703 grad_norm: 19.2575 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4334 loss: 1.4334 2022/07/30 06:18:19 - mmengine - INFO - Epoch(train) [24][540/2505] lr: 5.0000e-04 eta: 1 day, 0:07:52 time: 1.0112 data_time: 0.0323 memory: 32703 grad_norm: 19.9263 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1979 loss: 1.1979 2022/07/30 06:18:37 - mmengine - INFO - Epoch(train) [24][560/2505] lr: 5.0000e-04 eta: 1 day, 0:07:30 time: 0.9303 data_time: 0.0283 memory: 32703 grad_norm: 20.0031 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2803 loss: 1.2803 2022/07/30 06:18:58 - mmengine - INFO - Epoch(train) [24][580/2505] lr: 5.0000e-04 eta: 1 day, 0:07:11 time: 1.0409 data_time: 0.0327 memory: 32703 grad_norm: 19.6676 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5729 loss: 1.5729 2022/07/30 06:19:17 - mmengine - INFO - Epoch(train) [24][600/2505] lr: 5.0000e-04 eta: 1 day, 0:06:50 time: 0.9551 data_time: 0.0270 memory: 32703 grad_norm: 19.6214 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2258 loss: 1.2258 2022/07/30 06:19:38 - mmengine - INFO - Epoch(train) [24][620/2505] lr: 5.0000e-04 eta: 1 day, 0:06:32 time: 1.0470 data_time: 0.0301 memory: 32703 grad_norm: 19.8096 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4655 loss: 1.4655 2022/07/30 06:19:57 - mmengine - INFO - Epoch(train) [24][640/2505] lr: 5.0000e-04 eta: 1 day, 0:06:10 time: 0.9359 data_time: 0.0358 memory: 32703 grad_norm: 19.4465 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4041 loss: 1.4041 2022/07/30 06:20:17 - mmengine - INFO - Epoch(train) [24][660/2505] lr: 5.0000e-04 eta: 1 day, 0:05:50 time: 0.9979 data_time: 0.0284 memory: 32703 grad_norm: 19.1422 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2709 loss: 1.2709 2022/07/30 06:20:36 - mmengine - INFO - Epoch(train) [24][680/2505] lr: 5.0000e-04 eta: 1 day, 0:05:28 time: 0.9326 data_time: 0.0332 memory: 32703 grad_norm: 18.8817 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5245 loss: 1.5245 2022/07/30 06:20:57 - mmengine - INFO - Epoch(train) [24][700/2505] lr: 5.0000e-04 eta: 1 day, 0:05:10 time: 1.0507 data_time: 0.0292 memory: 32703 grad_norm: 19.0885 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4239 loss: 1.4239 2022/07/30 06:21:15 - mmengine - INFO - Epoch(train) [24][720/2505] lr: 5.0000e-04 eta: 1 day, 0:04:48 time: 0.9324 data_time: 0.0291 memory: 32703 grad_norm: 19.2288 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3380 loss: 1.3380 2022/07/30 06:21:36 - mmengine - INFO - Epoch(train) [24][740/2505] lr: 5.0000e-04 eta: 1 day, 0:04:30 time: 1.0596 data_time: 0.0275 memory: 32703 grad_norm: 19.3242 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3526 loss: 1.3526 2022/07/30 06:21:55 - mmengine - INFO - Epoch(train) [24][760/2505] lr: 5.0000e-04 eta: 1 day, 0:04:08 time: 0.9315 data_time: 0.0306 memory: 32703 grad_norm: 19.0376 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3743 loss: 1.3743 2022/07/30 06:22:16 - mmengine - INFO - Epoch(train) [24][780/2505] lr: 5.0000e-04 eta: 1 day, 0:03:49 time: 1.0229 data_time: 0.0301 memory: 32703 grad_norm: 19.9057 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2842 loss: 1.2842 2022/07/30 06:22:34 - mmengine - INFO - Epoch(train) [24][800/2505] lr: 5.0000e-04 eta: 1 day, 0:03:27 time: 0.9454 data_time: 0.0324 memory: 32703 grad_norm: 19.6893 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.4292 loss: 1.4292 2022/07/30 06:22:55 - mmengine - INFO - Epoch(train) [24][820/2505] lr: 5.0000e-04 eta: 1 day, 0:03:09 time: 1.0384 data_time: 0.0289 memory: 32703 grad_norm: 20.6375 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3210 loss: 1.3210 2022/07/30 06:23:14 - mmengine - INFO - Epoch(train) [24][840/2505] lr: 5.0000e-04 eta: 1 day, 0:02:47 time: 0.9340 data_time: 0.0290 memory: 32703 grad_norm: 18.6948 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4126 loss: 1.4126 2022/07/30 06:23:35 - mmengine - INFO - Epoch(train) [24][860/2505] lr: 5.0000e-04 eta: 1 day, 0:02:28 time: 1.0446 data_time: 0.0300 memory: 32703 grad_norm: 19.8028 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3583 loss: 1.3583 2022/07/30 06:23:52 - mmengine - INFO - Epoch(train) [24][880/2505] lr: 5.0000e-04 eta: 1 day, 0:02:05 time: 0.8803 data_time: 0.0288 memory: 32703 grad_norm: 19.0640 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4394 loss: 1.4394 2022/07/30 06:24:14 - mmengine - INFO - Epoch(train) [24][900/2505] lr: 5.0000e-04 eta: 1 day, 0:01:47 time: 1.0768 data_time: 0.0308 memory: 32703 grad_norm: 19.5900 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2983 loss: 1.2983 2022/07/30 06:24:31 - mmengine - INFO - Epoch(train) [24][920/2505] lr: 5.0000e-04 eta: 1 day, 0:01:23 time: 0.8612 data_time: 0.0285 memory: 32703 grad_norm: 19.5709 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4230 loss: 1.4230 2022/07/30 06:24:53 - mmengine - INFO - Epoch(train) [24][940/2505] lr: 5.0000e-04 eta: 1 day, 0:01:06 time: 1.0695 data_time: 0.0294 memory: 32703 grad_norm: 20.1467 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4854 loss: 1.4854 2022/07/30 06:25:11 - mmengine - INFO - Epoch(train) [24][960/2505] lr: 5.0000e-04 eta: 1 day, 0:00:44 time: 0.9278 data_time: 0.0273 memory: 32703 grad_norm: 20.5940 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2859 loss: 1.2859 2022/07/30 06:25:31 - mmengine - INFO - Epoch(train) [24][980/2505] lr: 5.0000e-04 eta: 1 day, 0:00:24 time: 1.0037 data_time: 0.0271 memory: 32703 grad_norm: 19.2073 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5415 loss: 1.5415 2022/07/30 06:25:49 - mmengine - INFO - Epoch(train) [24][1000/2505] lr: 5.0000e-04 eta: 1 day, 0:00:01 time: 0.9085 data_time: 0.0271 memory: 32703 grad_norm: 20.4285 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4963 loss: 1.4963 2022/07/30 06:26:10 - mmengine - INFO - Epoch(train) [24][1020/2505] lr: 5.0000e-04 eta: 23:59:43 time: 1.0491 data_time: 0.0270 memory: 32703 grad_norm: 19.5562 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2335 loss: 1.2335 2022/07/30 06:26:29 - mmengine - INFO - Epoch(train) [24][1040/2505] lr: 5.0000e-04 eta: 23:59:21 time: 0.9390 data_time: 0.0291 memory: 32703 grad_norm: 19.8650 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1598 loss: 1.1598 2022/07/30 06:26:50 - mmengine - INFO - Epoch(train) [24][1060/2505] lr: 5.0000e-04 eta: 23:59:02 time: 1.0184 data_time: 0.0297 memory: 32703 grad_norm: 19.8771 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3417 loss: 1.3417 2022/07/30 06:27:08 - mmengine - INFO - Epoch(train) [24][1080/2505] lr: 5.0000e-04 eta: 23:58:40 time: 0.9204 data_time: 0.0281 memory: 32703 grad_norm: 19.9846 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4680 loss: 1.4680 2022/07/30 06:27:30 - mmengine - INFO - Epoch(train) [24][1100/2505] lr: 5.0000e-04 eta: 23:58:23 time: 1.0930 data_time: 0.0273 memory: 32703 grad_norm: 21.0972 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.2815 loss: 1.2815 2022/07/30 06:27:49 - mmengine - INFO - Epoch(train) [24][1120/2505] lr: 5.0000e-04 eta: 23:58:01 time: 0.9419 data_time: 0.0275 memory: 32703 grad_norm: 18.5121 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3820 loss: 1.3820 2022/07/30 06:28:09 - mmengine - INFO - Epoch(train) [24][1140/2505] lr: 5.0000e-04 eta: 23:57:41 time: 1.0084 data_time: 0.0291 memory: 32703 grad_norm: 19.2469 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1847 loss: 1.1847 2022/07/30 06:28:28 - mmengine - INFO - Epoch(train) [24][1160/2505] lr: 5.0000e-04 eta: 23:57:20 time: 0.9579 data_time: 0.0289 memory: 32703 grad_norm: 19.4400 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2953 loss: 1.2953 2022/07/30 06:28:49 - mmengine - INFO - Epoch(train) [24][1180/2505] lr: 5.0000e-04 eta: 23:57:02 time: 1.0544 data_time: 0.0288 memory: 32703 grad_norm: 20.2691 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5073 loss: 1.5073 2022/07/30 06:29:08 - mmengine - INFO - Epoch(train) [24][1200/2505] lr: 5.0000e-04 eta: 23:56:41 time: 0.9519 data_time: 0.0266 memory: 32703 grad_norm: 20.4220 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4354 loss: 1.4354 2022/07/30 06:29:29 - mmengine - INFO - Epoch(train) [24][1220/2505] lr: 5.0000e-04 eta: 23:56:22 time: 1.0412 data_time: 0.0311 memory: 32703 grad_norm: 20.1131 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2941 loss: 1.2941 2022/07/30 06:29:48 - mmengine - INFO - Epoch(train) [24][1240/2505] lr: 5.0000e-04 eta: 23:56:02 time: 0.9725 data_time: 0.0279 memory: 32703 grad_norm: 20.2464 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3945 loss: 1.3945 2022/07/30 06:30:08 - mmengine - INFO - Epoch(train) [24][1260/2505] lr: 5.0000e-04 eta: 23:55:42 time: 0.9951 data_time: 0.0284 memory: 32703 grad_norm: 19.9813 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3024 loss: 1.3024 2022/07/30 06:30:26 - mmengine - INFO - Epoch(train) [24][1280/2505] lr: 5.0000e-04 eta: 23:55:19 time: 0.9063 data_time: 0.0294 memory: 32703 grad_norm: 19.6393 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4523 loss: 1.4523 2022/07/30 06:30:47 - mmengine - INFO - Epoch(train) [24][1300/2505] lr: 5.0000e-04 eta: 23:55:00 time: 1.0274 data_time: 0.0304 memory: 32703 grad_norm: 20.2038 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5885 loss: 1.5885 2022/07/30 06:31:06 - mmengine - INFO - Epoch(train) [24][1320/2505] lr: 5.0000e-04 eta: 23:54:38 time: 0.9263 data_time: 0.0286 memory: 32703 grad_norm: 19.9853 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4612 loss: 1.4612 2022/07/30 06:31:25 - mmengine - INFO - Epoch(train) [24][1340/2505] lr: 5.0000e-04 eta: 23:54:18 time: 0.9883 data_time: 0.0363 memory: 32703 grad_norm: 20.1602 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4057 loss: 1.4057 2022/07/30 06:31:44 - mmengine - INFO - Epoch(train) [24][1360/2505] lr: 5.0000e-04 eta: 23:53:56 time: 0.9201 data_time: 0.0277 memory: 32703 grad_norm: 19.4195 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3564 loss: 1.3564 2022/07/30 06:32:06 - mmengine - INFO - Epoch(train) [24][1380/2505] lr: 5.0000e-04 eta: 23:53:38 time: 1.0881 data_time: 0.0320 memory: 32703 grad_norm: 19.3916 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4986 loss: 1.4986 2022/07/30 06:32:11 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 06:32:23 - mmengine - INFO - Epoch(train) [24][1400/2505] lr: 5.0000e-04 eta: 23:53:15 time: 0.8738 data_time: 0.0319 memory: 32703 grad_norm: 19.9769 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4568 loss: 1.4568 2022/07/30 06:32:44 - mmengine - INFO - Epoch(train) [24][1420/2505] lr: 5.0000e-04 eta: 23:52:57 time: 1.0682 data_time: 0.0310 memory: 32703 grad_norm: 20.6439 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4366 loss: 1.4366 2022/07/30 06:33:02 - mmengine - INFO - Epoch(train) [24][1440/2505] lr: 5.0000e-04 eta: 23:52:34 time: 0.8939 data_time: 0.0279 memory: 32703 grad_norm: 20.9124 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3964 loss: 1.3964 2022/07/30 06:33:24 - mmengine - INFO - Epoch(train) [24][1460/2505] lr: 5.0000e-04 eta: 23:52:17 time: 1.0796 data_time: 0.0277 memory: 32703 grad_norm: 19.6597 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2845 loss: 1.2845 2022/07/30 06:33:42 - mmengine - INFO - Epoch(train) [24][1480/2505] lr: 5.0000e-04 eta: 23:51:54 time: 0.9019 data_time: 0.0338 memory: 32703 grad_norm: 20.6562 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1984 loss: 1.1984 2022/07/30 06:34:04 - mmengine - INFO - Epoch(train) [24][1500/2505] lr: 5.0000e-04 eta: 23:51:37 time: 1.0975 data_time: 0.0278 memory: 32703 grad_norm: 20.6044 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5203 loss: 1.5203 2022/07/30 06:34:22 - mmengine - INFO - Epoch(train) [24][1520/2505] lr: 5.0000e-04 eta: 23:51:15 time: 0.9190 data_time: 0.0267 memory: 32703 grad_norm: 19.0590 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3287 loss: 1.3287 2022/07/30 06:34:43 - mmengine - INFO - Epoch(train) [24][1540/2505] lr: 5.0000e-04 eta: 23:50:56 time: 1.0456 data_time: 0.0268 memory: 32703 grad_norm: 20.3588 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4972 loss: 1.4972 2022/07/30 06:35:01 - mmengine - INFO - Epoch(train) [24][1560/2505] lr: 5.0000e-04 eta: 23:50:33 time: 0.9008 data_time: 0.0286 memory: 32703 grad_norm: 19.3939 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5470 loss: 1.5470 2022/07/30 06:35:23 - mmengine - INFO - Epoch(train) [24][1580/2505] lr: 5.0000e-04 eta: 23:50:17 time: 1.1173 data_time: 0.0300 memory: 32703 grad_norm: 19.7228 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5208 loss: 1.5208 2022/07/30 06:35:42 - mmengine - INFO - Epoch(train) [24][1600/2505] lr: 5.0000e-04 eta: 23:49:55 time: 0.9333 data_time: 0.0307 memory: 32703 grad_norm: 19.8915 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5014 loss: 1.5014 2022/07/30 06:36:04 - mmengine - INFO - Epoch(train) [24][1620/2505] lr: 5.0000e-04 eta: 23:49:37 time: 1.0713 data_time: 0.0294 memory: 32703 grad_norm: 19.7497 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5454 loss: 1.5454 2022/07/30 06:36:22 - mmengine - INFO - Epoch(train) [24][1640/2505] lr: 5.0000e-04 eta: 23:49:16 time: 0.9382 data_time: 0.0331 memory: 32703 grad_norm: 19.5770 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5450 loss: 1.5450 2022/07/30 06:36:43 - mmengine - INFO - Epoch(train) [24][1660/2505] lr: 5.0000e-04 eta: 23:48:57 time: 1.0362 data_time: 0.0276 memory: 32703 grad_norm: 19.9060 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7151 loss: 1.7151 2022/07/30 06:37:01 - mmengine - INFO - Epoch(train) [24][1680/2505] lr: 5.0000e-04 eta: 23:48:34 time: 0.8914 data_time: 0.0292 memory: 32703 grad_norm: 19.2959 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4399 loss: 1.4399 2022/07/30 06:37:21 - mmengine - INFO - Epoch(train) [24][1700/2505] lr: 5.0000e-04 eta: 23:48:15 time: 1.0172 data_time: 0.0299 memory: 32703 grad_norm: 19.1719 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4241 loss: 1.4241 2022/07/30 06:37:40 - mmengine - INFO - Epoch(train) [24][1720/2505] lr: 5.0000e-04 eta: 23:47:53 time: 0.9363 data_time: 0.0272 memory: 32703 grad_norm: 20.0944 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4947 loss: 1.4947 2022/07/30 06:38:01 - mmengine - INFO - Epoch(train) [24][1740/2505] lr: 5.0000e-04 eta: 23:47:35 time: 1.0712 data_time: 0.0305 memory: 32703 grad_norm: 19.3684 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3532 loss: 1.3532 2022/07/30 06:38:19 - mmengine - INFO - Epoch(train) [24][1760/2505] lr: 5.0000e-04 eta: 23:47:12 time: 0.8816 data_time: 0.0330 memory: 32703 grad_norm: 20.1392 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4553 loss: 1.4553 2022/07/30 06:38:41 - mmengine - INFO - Epoch(train) [24][1780/2505] lr: 5.0000e-04 eta: 23:46:55 time: 1.1005 data_time: 0.0264 memory: 32703 grad_norm: 20.2555 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4067 loss: 1.4067 2022/07/30 06:39:00 - mmengine - INFO - Epoch(train) [24][1800/2505] lr: 5.0000e-04 eta: 23:46:33 time: 0.9276 data_time: 0.0357 memory: 32703 grad_norm: 19.6823 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2347 loss: 1.2347 2022/07/30 06:39:20 - mmengine - INFO - Epoch(train) [24][1820/2505] lr: 5.0000e-04 eta: 23:46:14 time: 1.0355 data_time: 0.0280 memory: 32703 grad_norm: 19.6726 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3503 loss: 1.3503 2022/07/30 06:39:39 - mmengine - INFO - Epoch(train) [24][1840/2505] lr: 5.0000e-04 eta: 23:45:52 time: 0.9168 data_time: 0.0346 memory: 32703 grad_norm: 20.0560 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4828 loss: 1.4828 2022/07/30 06:40:00 - mmengine - INFO - Epoch(train) [24][1860/2505] lr: 5.0000e-04 eta: 23:45:34 time: 1.0572 data_time: 0.0348 memory: 32703 grad_norm: 19.8574 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4989 loss: 1.4989 2022/07/30 06:40:18 - mmengine - INFO - Epoch(train) [24][1880/2505] lr: 5.0000e-04 eta: 23:45:12 time: 0.9162 data_time: 0.0307 memory: 32703 grad_norm: 19.1623 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4811 loss: 1.4811 2022/07/30 06:40:40 - mmengine - INFO - Epoch(train) [24][1900/2505] lr: 5.0000e-04 eta: 23:44:54 time: 1.0723 data_time: 0.0333 memory: 32703 grad_norm: 19.2539 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2486 loss: 1.2486 2022/07/30 06:40:58 - mmengine - INFO - Epoch(train) [24][1920/2505] lr: 5.0000e-04 eta: 23:44:32 time: 0.9155 data_time: 0.0369 memory: 32703 grad_norm: 19.6325 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2856 loss: 1.2856 2022/07/30 06:41:19 - mmengine - INFO - Epoch(train) [24][1940/2505] lr: 5.0000e-04 eta: 23:44:13 time: 1.0569 data_time: 0.0266 memory: 32703 grad_norm: 19.1017 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3267 loss: 1.3267 2022/07/30 06:41:37 - mmengine - INFO - Epoch(train) [24][1960/2505] lr: 5.0000e-04 eta: 23:43:51 time: 0.9066 data_time: 0.0283 memory: 32703 grad_norm: 19.4055 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5200 loss: 1.5200 2022/07/30 06:41:58 - mmengine - INFO - Epoch(train) [24][1980/2505] lr: 5.0000e-04 eta: 23:43:32 time: 1.0408 data_time: 0.0330 memory: 32703 grad_norm: 20.2580 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4330 loss: 1.4330 2022/07/30 06:42:17 - mmengine - INFO - Epoch(train) [24][2000/2505] lr: 5.0000e-04 eta: 23:43:10 time: 0.9278 data_time: 0.0268 memory: 32703 grad_norm: 19.1443 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5344 loss: 1.5344 2022/07/30 06:42:37 - mmengine - INFO - Epoch(train) [24][2020/2505] lr: 5.0000e-04 eta: 23:42:51 time: 1.0386 data_time: 0.0329 memory: 32703 grad_norm: 19.5440 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3877 loss: 1.3877 2022/07/30 06:42:56 - mmengine - INFO - Epoch(train) [24][2040/2505] lr: 5.0000e-04 eta: 23:42:29 time: 0.9133 data_time: 0.0293 memory: 32703 grad_norm: 19.5927 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6087 loss: 1.6087 2022/07/30 06:43:16 - mmengine - INFO - Epoch(train) [24][2060/2505] lr: 5.0000e-04 eta: 23:42:10 time: 1.0391 data_time: 0.0294 memory: 32703 grad_norm: 19.5262 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4551 loss: 1.4551 2022/07/30 06:43:34 - mmengine - INFO - Epoch(train) [24][2080/2505] lr: 5.0000e-04 eta: 23:41:47 time: 0.8581 data_time: 0.0255 memory: 32703 grad_norm: 19.3661 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2782 loss: 1.2782 2022/07/30 06:43:55 - mmengine - INFO - Epoch(train) [24][2100/2505] lr: 5.0000e-04 eta: 23:41:29 time: 1.0738 data_time: 0.0271 memory: 32703 grad_norm: 20.5308 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3467 loss: 1.3467 2022/07/30 06:44:14 - mmengine - INFO - Epoch(train) [24][2120/2505] lr: 5.0000e-04 eta: 23:41:08 time: 0.9643 data_time: 0.0283 memory: 32703 grad_norm: 20.0617 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.3901 loss: 1.3901 2022/07/30 06:44:33 - mmengine - INFO - Epoch(train) [24][2140/2505] lr: 5.0000e-04 eta: 23:40:47 time: 0.9582 data_time: 0.0284 memory: 32703 grad_norm: 19.2537 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3019 loss: 1.3019 2022/07/30 06:44:53 - mmengine - INFO - Epoch(train) [24][2160/2505] lr: 5.0000e-04 eta: 23:40:27 time: 0.9868 data_time: 0.0274 memory: 32703 grad_norm: 18.9193 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6546 loss: 1.6546 2022/07/30 06:45:13 - mmengine - INFO - Epoch(train) [24][2180/2505] lr: 5.0000e-04 eta: 23:40:06 time: 0.9880 data_time: 0.0330 memory: 32703 grad_norm: 20.2898 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3791 loss: 1.3791 2022/07/30 06:45:34 - mmengine - INFO - Epoch(train) [24][2200/2505] lr: 5.0000e-04 eta: 23:39:49 time: 1.0751 data_time: 0.0268 memory: 32703 grad_norm: 19.3556 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2939 loss: 1.2939 2022/07/30 06:45:53 - mmengine - INFO - Epoch(train) [24][2220/2505] lr: 5.0000e-04 eta: 23:39:27 time: 0.9229 data_time: 0.0279 memory: 32703 grad_norm: 19.4331 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7788 loss: 1.7788 2022/07/30 06:46:13 - mmengine - INFO - Epoch(train) [24][2240/2505] lr: 5.0000e-04 eta: 23:39:07 time: 0.9894 data_time: 0.0282 memory: 32703 grad_norm: 20.3402 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4212 loss: 1.4212 2022/07/30 06:46:32 - mmengine - INFO - Epoch(train) [24][2260/2505] lr: 5.0000e-04 eta: 23:38:46 time: 0.9871 data_time: 0.0347 memory: 32703 grad_norm: 19.6158 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5002 loss: 1.5002 2022/07/30 06:46:52 - mmengine - INFO - Epoch(train) [24][2280/2505] lr: 5.0000e-04 eta: 23:38:25 time: 0.9467 data_time: 0.0289 memory: 32703 grad_norm: 19.4295 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4642 loss: 1.4642 2022/07/30 06:47:12 - mmengine - INFO - Epoch(train) [24][2300/2505] lr: 5.0000e-04 eta: 23:38:06 time: 1.0372 data_time: 0.0297 memory: 32703 grad_norm: 19.1528 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4258 loss: 1.4258 2022/07/30 06:47:31 - mmengine - INFO - Epoch(train) [24][2320/2505] lr: 5.0000e-04 eta: 23:37:44 time: 0.9295 data_time: 0.0335 memory: 32703 grad_norm: 20.2428 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4265 loss: 1.4265 2022/07/30 06:47:51 - mmengine - INFO - Epoch(train) [24][2340/2505] lr: 5.0000e-04 eta: 23:37:25 time: 1.0247 data_time: 0.0273 memory: 32703 grad_norm: 20.2584 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5637 loss: 1.5637 2022/07/30 06:48:11 - mmengine - INFO - Epoch(train) [24][2360/2505] lr: 5.0000e-04 eta: 23:37:04 time: 0.9613 data_time: 0.0538 memory: 32703 grad_norm: 19.5775 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3029 loss: 1.3029 2022/07/30 06:48:31 - mmengine - INFO - Epoch(train) [24][2380/2505] lr: 5.0000e-04 eta: 23:36:45 time: 1.0102 data_time: 0.0310 memory: 32703 grad_norm: 20.0346 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5079 loss: 1.5079 2022/07/30 06:48:38 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 06:48:50 - mmengine - INFO - Epoch(train) [24][2400/2505] lr: 5.0000e-04 eta: 23:36:24 time: 0.9658 data_time: 0.0277 memory: 32703 grad_norm: 19.2161 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3681 loss: 1.3681 2022/07/30 06:49:11 - mmengine - INFO - Epoch(train) [24][2420/2505] lr: 5.0000e-04 eta: 23:36:06 time: 1.0557 data_time: 0.0354 memory: 32703 grad_norm: 19.6961 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4892 loss: 1.4892 2022/07/30 06:49:29 - mmengine - INFO - Epoch(train) [24][2440/2505] lr: 5.0000e-04 eta: 23:35:43 time: 0.9028 data_time: 0.0270 memory: 32703 grad_norm: 19.0838 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5600 loss: 1.5600 2022/07/30 06:49:49 - mmengine - INFO - Epoch(train) [24][2460/2505] lr: 5.0000e-04 eta: 23:35:23 time: 1.0056 data_time: 0.0316 memory: 32703 grad_norm: 20.5132 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4632 loss: 1.4632 2022/07/30 06:50:09 - mmengine - INFO - Epoch(train) [24][2480/2505] lr: 5.0000e-04 eta: 23:35:04 time: 1.0029 data_time: 0.0282 memory: 32703 grad_norm: 20.3830 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5306 loss: 1.5306 2022/07/30 06:50:27 - mmengine - INFO - Epoch(train) [24][2500/2505] lr: 5.0000e-04 eta: 23:34:41 time: 0.8854 data_time: 0.0350 memory: 32703 grad_norm: 19.3113 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4839 loss: 1.4839 2022/07/30 06:50:30 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 06:50:30 - mmengine - INFO - Epoch(train) [24][2505/2505] lr: 5.0000e-04 eta: 23:34:41 time: 0.7401 data_time: 0.0231 memory: 32703 grad_norm: 19.6029 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.3346 loss: 1.3346 2022/07/30 06:50:30 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/07/30 06:50:42 - mmengine - INFO - Epoch(val) [24][20/2475] eta: 0:04:26 time: 0.1085 data_time: 0.0749 memory: 817 2022/07/30 06:50:44 - mmengine - INFO - Epoch(val) [24][40/2475] eta: 0:04:52 time: 0.1203 data_time: 0.0875 memory: 817 2022/07/30 06:50:46 - mmengine - INFO - Epoch(val) [24][60/2475] eta: 0:03:25 time: 0.0850 data_time: 0.0465 memory: 817 2022/07/30 06:50:47 - mmengine - INFO - Epoch(val) [24][80/2475] eta: 0:02:19 time: 0.0584 data_time: 0.0239 memory: 817 2022/07/30 06:50:49 - mmengine - INFO - Epoch(val) [24][100/2475] eta: 0:03:25 time: 0.0866 data_time: 0.0549 memory: 817 2022/07/30 06:50:50 - mmengine - INFO - Epoch(val) [24][120/2475] eta: 0:02:46 time: 0.0705 data_time: 0.0395 memory: 817 2022/07/30 06:50:52 - mmengine - INFO - Epoch(val) [24][140/2475] eta: 0:03:23 time: 0.0872 data_time: 0.0557 memory: 817 2022/07/30 06:50:53 - mmengine - INFO - Epoch(val) [24][160/2475] eta: 0:03:15 time: 0.0846 data_time: 0.0529 memory: 817 2022/07/30 06:50:55 - mmengine - INFO - Epoch(val) [24][180/2475] eta: 0:02:27 time: 0.0643 data_time: 0.0328 memory: 817 2022/07/30 06:50:56 - mmengine - INFO - Epoch(val) [24][200/2475] eta: 0:03:03 time: 0.0806 data_time: 0.0499 memory: 817 2022/07/30 06:50:58 - mmengine - INFO - Epoch(val) [24][220/2475] eta: 0:03:09 time: 0.0842 data_time: 0.0532 memory: 817 2022/07/30 06:51:00 - mmengine - INFO - Epoch(val) [24][240/2475] eta: 0:03:57 time: 0.1064 data_time: 0.0753 memory: 817 2022/07/30 06:51:01 - mmengine - INFO - Epoch(val) [24][260/2475] eta: 0:02:27 time: 0.0667 data_time: 0.0337 memory: 817 2022/07/30 06:51:03 - mmengine - INFO - Epoch(val) [24][280/2475] eta: 0:03:21 time: 0.0917 data_time: 0.0580 memory: 817 2022/07/30 06:51:05 - mmengine - INFO - Epoch(val) [24][300/2475] eta: 0:03:15 time: 0.0897 data_time: 0.0406 memory: 817 2022/07/30 06:51:06 - mmengine - INFO - Epoch(val) [24][320/2475] eta: 0:01:51 time: 0.0520 data_time: 0.0207 memory: 817 2022/07/30 06:51:08 - mmengine - INFO - Epoch(val) [24][340/2475] eta: 0:03:23 time: 0.0954 data_time: 0.0644 memory: 817 2022/07/30 06:51:09 - mmengine - INFO - Epoch(val) [24][360/2475] eta: 0:02:33 time: 0.0724 data_time: 0.0425 memory: 817 2022/07/30 06:51:11 - mmengine - INFO - Epoch(val) [24][380/2475] eta: 0:02:57 time: 0.0847 data_time: 0.0538 memory: 817 2022/07/30 06:51:13 - mmengine - INFO - Epoch(val) [24][400/2475] eta: 0:02:40 time: 0.0773 data_time: 0.0443 memory: 817 2022/07/30 06:51:14 - mmengine - INFO - Epoch(val) [24][420/2475] eta: 0:02:18 time: 0.0673 data_time: 0.0361 memory: 817 2022/07/30 06:51:16 - mmengine - INFO - Epoch(val) [24][440/2475] eta: 0:03:40 time: 0.1086 data_time: 0.0769 memory: 817 2022/07/30 06:51:17 - mmengine - INFO - Epoch(val) [24][460/2475] eta: 0:02:03 time: 0.0614 data_time: 0.0307 memory: 817 2022/07/30 06:51:19 - mmengine - INFO - Epoch(val) [24][480/2475] eta: 0:02:34 time: 0.0775 data_time: 0.0460 memory: 817 2022/07/30 06:51:20 - mmengine - INFO - Epoch(val) [24][500/2475] eta: 0:01:56 time: 0.0590 data_time: 0.0267 memory: 817 2022/07/30 06:51:22 - mmengine - INFO - Epoch(val) [24][520/2475] eta: 0:03:01 time: 0.0930 data_time: 0.0598 memory: 817 2022/07/30 06:51:23 - mmengine - INFO - Epoch(val) [24][540/2475] eta: 0:02:15 time: 0.0700 data_time: 0.0379 memory: 817 2022/07/30 06:51:26 - mmengine - INFO - Epoch(val) [24][560/2475] eta: 0:03:30 time: 0.1101 data_time: 0.0788 memory: 817 2022/07/30 06:51:27 - mmengine - INFO - Epoch(val) [24][580/2475] eta: 0:02:43 time: 0.0865 data_time: 0.0563 memory: 817 2022/07/30 06:51:29 - mmengine - INFO - Epoch(val) [24][600/2475] eta: 0:02:46 time: 0.0887 data_time: 0.0561 memory: 817 2022/07/30 06:51:31 - mmengine - INFO - Epoch(val) [24][620/2475] eta: 0:02:30 time: 0.0809 data_time: 0.0484 memory: 817 2022/07/30 06:51:32 - mmengine - INFO - Epoch(val) [24][640/2475] eta: 0:02:16 time: 0.0745 data_time: 0.0427 memory: 817 2022/07/30 06:51:34 - mmengine - INFO - Epoch(val) [24][660/2475] eta: 0:03:16 time: 0.1085 data_time: 0.0773 memory: 817 2022/07/30 06:51:36 - mmengine - INFO - Epoch(val) [24][680/2475] eta: 0:02:26 time: 0.0815 data_time: 0.0500 memory: 817 2022/07/30 06:51:38 - mmengine - INFO - Epoch(val) [24][700/2475] eta: 0:03:03 time: 0.1034 data_time: 0.0704 memory: 817 2022/07/30 06:51:40 - mmengine - INFO - Epoch(val) [24][720/2475] eta: 0:01:59 time: 0.0681 data_time: 0.0367 memory: 817 2022/07/30 06:51:41 - mmengine - INFO - Epoch(val) [24][740/2475] eta: 0:02:23 time: 0.0828 data_time: 0.0515 memory: 817 2022/07/30 06:51:43 - mmengine - INFO - Epoch(val) [24][760/2475] eta: 0:02:29 time: 0.0874 data_time: 0.0554 memory: 817 2022/07/30 06:51:44 - mmengine - INFO - Epoch(val) [24][780/2475] eta: 0:02:00 time: 0.0713 data_time: 0.0396 memory: 817 2022/07/30 06:51:46 - mmengine - INFO - Epoch(val) [24][800/2475] eta: 0:02:13 time: 0.0795 data_time: 0.0411 memory: 817 2022/07/30 06:51:48 - mmengine - INFO - Epoch(val) [24][820/2475] eta: 0:02:38 time: 0.0957 data_time: 0.0651 memory: 817 2022/07/30 06:51:49 - mmengine - INFO - Epoch(val) [24][840/2475] eta: 0:01:40 time: 0.0615 data_time: 0.0302 memory: 817 2022/07/30 06:51:51 - mmengine - INFO - Epoch(val) [24][860/2475] eta: 0:02:24 time: 0.0892 data_time: 0.0584 memory: 817 2022/07/30 06:51:52 - mmengine - INFO - Epoch(val) [24][880/2475] eta: 0:02:00 time: 0.0755 data_time: 0.0443 memory: 817 2022/07/30 06:51:54 - mmengine - INFO - Epoch(val) [24][900/2475] eta: 0:02:16 time: 0.0868 data_time: 0.0557 memory: 817 2022/07/30 06:51:56 - mmengine - INFO - Epoch(val) [24][920/2475] eta: 0:02:12 time: 0.0850 data_time: 0.0536 memory: 817 2022/07/30 06:51:58 - mmengine - INFO - Epoch(val) [24][940/2475] eta: 0:02:15 time: 0.0881 data_time: 0.0563 memory: 817 2022/07/30 06:51:59 - mmengine - INFO - Epoch(val) [24][960/2475] eta: 0:01:33 time: 0.0618 data_time: 0.0295 memory: 817 2022/07/30 06:52:01 - mmengine - INFO - Epoch(val) [24][980/2475] eta: 0:02:59 time: 0.1202 data_time: 0.0898 memory: 817 2022/07/30 06:52:03 - mmengine - INFO - Epoch(val) [24][1000/2475] eta: 0:01:33 time: 0.0633 data_time: 0.0322 memory: 817 2022/07/30 06:52:05 - mmengine - INFO - Epoch(val) [24][1020/2475] eta: 0:02:50 time: 0.1171 data_time: 0.0784 memory: 817 2022/07/30 06:52:06 - mmengine - INFO - Epoch(val) [24][1040/2475] eta: 0:01:26 time: 0.0605 data_time: 0.0265 memory: 817 2022/07/30 06:52:07 - mmengine - INFO - Epoch(val) [24][1060/2475] eta: 0:01:33 time: 0.0659 data_time: 0.0345 memory: 817 2022/07/30 06:52:09 - mmengine - INFO - Epoch(val) [24][1080/2475] eta: 0:02:04 time: 0.0895 data_time: 0.0589 memory: 817 2022/07/30 06:52:11 - mmengine - INFO - Epoch(val) [24][1100/2475] eta: 0:01:46 time: 0.0773 data_time: 0.0462 memory: 817 2022/07/30 06:52:13 - mmengine - INFO - Epoch(val) [24][1120/2475] eta: 0:01:56 time: 0.0862 data_time: 0.0556 memory: 817 2022/07/30 06:52:14 - mmengine - INFO - Epoch(val) [24][1140/2475] eta: 0:01:40 time: 0.0749 data_time: 0.0423 memory: 817 2022/07/30 06:52:15 - mmengine - INFO - Epoch(val) [24][1160/2475] eta: 0:01:36 time: 0.0734 data_time: 0.0425 memory: 817 2022/07/30 06:52:17 - mmengine - INFO - Epoch(val) [24][1180/2475] eta: 0:02:04 time: 0.0960 data_time: 0.0633 memory: 817 2022/07/30 06:52:19 - mmengine - INFO - Epoch(val) [24][1200/2475] eta: 0:01:28 time: 0.0693 data_time: 0.0378 memory: 817 2022/07/30 06:52:21 - mmengine - INFO - Epoch(val) [24][1220/2475] eta: 0:01:50 time: 0.0882 data_time: 0.0567 memory: 817 2022/07/30 06:52:22 - mmengine - INFO - Epoch(val) [24][1240/2475] eta: 0:01:38 time: 0.0797 data_time: 0.0499 memory: 817 2022/07/30 06:52:24 - mmengine - INFO - Epoch(val) [24][1260/2475] eta: 0:01:44 time: 0.0862 data_time: 0.0549 memory: 817 2022/07/30 06:52:26 - mmengine - INFO - Epoch(val) [24][1280/2475] eta: 0:01:37 time: 0.0818 data_time: 0.0300 memory: 817 2022/07/30 06:52:27 - mmengine - INFO - Epoch(val) [24][1300/2475] eta: 0:01:38 time: 0.0842 data_time: 0.0536 memory: 817 2022/07/30 06:52:29 - mmengine - INFO - Epoch(val) [24][1320/2475] eta: 0:01:23 time: 0.0721 data_time: 0.0419 memory: 817 2022/07/30 06:52:30 - mmengine - INFO - Epoch(val) [24][1340/2475] eta: 0:01:43 time: 0.0908 data_time: 0.0603 memory: 817 2022/07/30 06:52:32 - mmengine - INFO - Epoch(val) [24][1360/2475] eta: 0:01:31 time: 0.0818 data_time: 0.0519 memory: 817 2022/07/30 06:52:34 - mmengine - INFO - Epoch(val) [24][1380/2475] eta: 0:01:31 time: 0.0839 data_time: 0.0526 memory: 817 2022/07/30 06:52:35 - mmengine - INFO - Epoch(val) [24][1400/2475] eta: 0:01:21 time: 0.0759 data_time: 0.0420 memory: 817 2022/07/30 06:52:37 - mmengine - INFO - Epoch(val) [24][1420/2475] eta: 0:01:41 time: 0.0958 data_time: 0.0646 memory: 817 2022/07/30 06:52:39 - mmengine - INFO - Epoch(val) [24][1440/2475] eta: 0:01:13 time: 0.0711 data_time: 0.0409 memory: 817 2022/07/30 06:52:40 - mmengine - INFO - Epoch(val) [24][1460/2475] eta: 0:01:32 time: 0.0910 data_time: 0.0609 memory: 817 2022/07/30 06:52:42 - mmengine - INFO - Epoch(val) [24][1480/2475] eta: 0:01:16 time: 0.0765 data_time: 0.0464 memory: 817 2022/07/30 06:52:44 - mmengine - INFO - Epoch(val) [24][1500/2475] eta: 0:01:23 time: 0.0857 data_time: 0.0556 memory: 817 2022/07/30 06:52:45 - mmengine - INFO - Epoch(val) [24][1520/2475] eta: 0:01:19 time: 0.0834 data_time: 0.0491 memory: 817 2022/07/30 06:52:47 - mmengine - INFO - Epoch(val) [24][1540/2475] eta: 0:01:16 time: 0.0821 data_time: 0.0487 memory: 817 2022/07/30 06:52:48 - mmengine - INFO - Epoch(val) [24][1560/2475] eta: 0:01:03 time: 0.0690 data_time: 0.0392 memory: 817 2022/07/30 06:52:50 - mmengine - INFO - Epoch(val) [24][1580/2475] eta: 0:01:12 time: 0.0815 data_time: 0.0500 memory: 817 2022/07/30 06:52:52 - mmengine - INFO - Epoch(val) [24][1600/2475] eta: 0:01:10 time: 0.0803 data_time: 0.0500 memory: 817 2022/07/30 06:52:53 - mmengine - INFO - Epoch(val) [24][1620/2475] eta: 0:01:18 time: 0.0917 data_time: 0.0611 memory: 817 2022/07/30 06:52:55 - mmengine - INFO - Epoch(val) [24][1640/2475] eta: 0:00:55 time: 0.0666 data_time: 0.0353 memory: 817 2022/07/30 06:52:57 - mmengine - INFO - Epoch(val) [24][1660/2475] eta: 0:01:15 time: 0.0928 data_time: 0.0621 memory: 817 2022/07/30 06:52:58 - mmengine - INFO - Epoch(val) [24][1680/2475] eta: 0:00:56 time: 0.0717 data_time: 0.0407 memory: 817 2022/07/30 06:53:00 - mmengine - INFO - Epoch(val) [24][1700/2475] eta: 0:01:12 time: 0.0933 data_time: 0.0614 memory: 817 2022/07/30 06:53:01 - mmengine - INFO - Epoch(val) [24][1720/2475] eta: 0:00:48 time: 0.0640 data_time: 0.0327 memory: 817 2022/07/30 06:53:03 - mmengine - INFO - Epoch(val) [24][1740/2475] eta: 0:01:06 time: 0.0904 data_time: 0.0597 memory: 817 2022/07/30 06:53:05 - mmengine - INFO - Epoch(val) [24][1760/2475] eta: 0:01:07 time: 0.0941 data_time: 0.0540 memory: 817 2022/07/30 06:53:06 - mmengine - INFO - Epoch(val) [24][1780/2475] eta: 0:00:48 time: 0.0691 data_time: 0.0372 memory: 817 2022/07/30 06:53:08 - mmengine - INFO - Epoch(val) [24][1800/2475] eta: 0:00:49 time: 0.0736 data_time: 0.0402 memory: 817 2022/07/30 06:53:10 - mmengine - INFO - Epoch(val) [24][1820/2475] eta: 0:00:55 time: 0.0851 data_time: 0.0539 memory: 817 2022/07/30 06:53:11 - mmengine - INFO - Epoch(val) [24][1840/2475] eta: 0:00:45 time: 0.0720 data_time: 0.0411 memory: 817 2022/07/30 06:53:13 - mmengine - INFO - Epoch(val) [24][1860/2475] eta: 0:00:52 time: 0.0846 data_time: 0.0520 memory: 817 2022/07/30 06:53:14 - mmengine - INFO - Epoch(val) [24][1880/2475] eta: 0:00:45 time: 0.0769 data_time: 0.0468 memory: 817 2022/07/30 06:53:16 - mmengine - INFO - Epoch(val) [24][1900/2475] eta: 0:00:45 time: 0.0789 data_time: 0.0478 memory: 817 2022/07/30 06:53:18 - mmengine - INFO - Epoch(val) [24][1920/2475] eta: 0:00:50 time: 0.0916 data_time: 0.0603 memory: 817 2022/07/30 06:53:19 - mmengine - INFO - Epoch(val) [24][1940/2475] eta: 0:00:43 time: 0.0813 data_time: 0.0487 memory: 817 2022/07/30 06:53:21 - mmengine - INFO - Epoch(val) [24][1960/2475] eta: 0:00:37 time: 0.0738 data_time: 0.0419 memory: 817 2022/07/30 06:53:23 - mmengine - INFO - Epoch(val) [24][1980/2475] eta: 0:00:47 time: 0.0951 data_time: 0.0646 memory: 817 2022/07/30 06:53:24 - mmengine - INFO - Epoch(val) [24][2000/2475] eta: 0:00:35 time: 0.0749 data_time: 0.0431 memory: 817 2022/07/30 06:53:26 - mmengine - INFO - Epoch(val) [24][2020/2475] eta: 0:00:38 time: 0.0836 data_time: 0.0304 memory: 817 2022/07/30 06:53:27 - mmengine - INFO - Epoch(val) [24][2040/2475] eta: 0:00:30 time: 0.0696 data_time: 0.0389 memory: 817 2022/07/30 06:53:29 - mmengine - INFO - Epoch(val) [24][2060/2475] eta: 0:00:46 time: 0.1121 data_time: 0.0797 memory: 817 2022/07/30 06:53:31 - mmengine - INFO - Epoch(val) [24][2080/2475] eta: 0:00:24 time: 0.0616 data_time: 0.0299 memory: 817 2022/07/30 06:53:32 - mmengine - INFO - Epoch(val) [24][2100/2475] eta: 0:00:32 time: 0.0866 data_time: 0.0546 memory: 817 2022/07/30 06:53:34 - mmengine - INFO - Epoch(val) [24][2120/2475] eta: 0:00:24 time: 0.0694 data_time: 0.0384 memory: 817 2022/07/30 06:53:35 - mmengine - INFO - Epoch(val) [24][2140/2475] eta: 0:00:27 time: 0.0828 data_time: 0.0518 memory: 817 2022/07/30 06:53:37 - mmengine - INFO - Epoch(val) [24][2160/2475] eta: 0:00:21 time: 0.0668 data_time: 0.0350 memory: 817 2022/07/30 06:53:39 - mmengine - INFO - Epoch(val) [24][2180/2475] eta: 0:00:24 time: 0.0837 data_time: 0.0532 memory: 817 2022/07/30 06:53:40 - mmengine - INFO - Epoch(val) [24][2200/2475] eta: 0:00:20 time: 0.0735 data_time: 0.0427 memory: 817 2022/07/30 06:53:42 - mmengine - INFO - Epoch(val) [24][2220/2475] eta: 0:00:22 time: 0.0883 data_time: 0.0576 memory: 817 2022/07/30 06:53:43 - mmengine - INFO - Epoch(val) [24][2240/2475] eta: 0:00:18 time: 0.0777 data_time: 0.0472 memory: 817 2022/07/30 06:53:45 - mmengine - INFO - Epoch(val) [24][2260/2475] eta: 0:00:21 time: 0.0997 data_time: 0.0570 memory: 817 2022/07/30 06:53:47 - mmengine - INFO - Epoch(val) [24][2280/2475] eta: 0:00:13 time: 0.0698 data_time: 0.0385 memory: 817 2022/07/30 06:53:48 - mmengine - INFO - Epoch(val) [24][2300/2475] eta: 0:00:15 time: 0.0873 data_time: 0.0544 memory: 817 2022/07/30 06:53:50 - mmengine - INFO - Epoch(val) [24][2320/2475] eta: 0:00:08 time: 0.0576 data_time: 0.0233 memory: 817 2022/07/30 06:53:51 - mmengine - INFO - Epoch(val) [24][2340/2475] eta: 0:00:07 time: 0.0522 data_time: 0.0216 memory: 817 2022/07/30 06:53:51 - mmengine - INFO - Epoch(val) [24][2360/2475] eta: 0:00:04 time: 0.0402 data_time: 0.0107 memory: 817 2022/07/30 06:53:52 - mmengine - INFO - Epoch(val) [24][2380/2475] eta: 0:00:03 time: 0.0363 data_time: 0.0072 memory: 817 2022/07/30 06:53:53 - mmengine - INFO - Epoch(val) [24][2400/2475] eta: 0:00:02 time: 0.0303 data_time: 0.0012 memory: 817 2022/07/30 06:53:54 - mmengine - INFO - Epoch(val) [24][2420/2475] eta: 0:00:02 time: 0.0400 data_time: 0.0110 memory: 817 2022/07/30 06:53:54 - mmengine - INFO - Epoch(val) [24][2440/2475] eta: 0:00:01 time: 0.0369 data_time: 0.0079 memory: 817 2022/07/30 06:53:55 - mmengine - INFO - Epoch(val) [24][2460/2475] eta: 0:00:00 time: 0.0398 data_time: 0.0106 memory: 817 2022/07/30 06:53:57 - mmengine - INFO - Epoch(val) [24][2475/2475] acc/top1: 0.7071 acc/top5: 0.8954 acc/mean1: 0.7071 2022/07/30 06:53:57 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_22.pth is removed 2022/07/30 06:54:03 - mmengine - INFO - The best checkpoint with 0.7071 acc/top1 at 25 epoch is saved to best_acc/top1_epoch_25.pth. 2022/07/30 06:54:28 - mmengine - INFO - Epoch(train) [25][20/2505] lr: 5.0000e-04 eta: 23:34:16 time: 1.2633 data_time: 0.6606 memory: 32703 grad_norm: 19.4281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4074 loss: 1.4074 2022/07/30 06:54:46 - mmengine - INFO - Epoch(train) [25][40/2505] lr: 5.0000e-04 eta: 23:33:54 time: 0.9236 data_time: 0.3354 memory: 32703 grad_norm: 19.2509 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3342 loss: 1.3342 2022/07/30 06:55:07 - mmengine - INFO - Epoch(train) [25][60/2505] lr: 5.0000e-04 eta: 23:33:35 time: 1.0369 data_time: 0.4598 memory: 32703 grad_norm: 19.7225 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4225 loss: 1.4225 2022/07/30 06:55:25 - mmengine - INFO - Epoch(train) [25][80/2505] lr: 5.0000e-04 eta: 23:33:13 time: 0.9087 data_time: 0.3285 memory: 32703 grad_norm: 19.5289 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4003 loss: 1.4003 2022/07/30 06:55:46 - mmengine - INFO - Epoch(train) [25][100/2505] lr: 5.0000e-04 eta: 23:32:55 time: 1.0501 data_time: 0.4900 memory: 32703 grad_norm: 19.0389 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.5789 loss: 1.5789 2022/07/30 06:56:05 - mmengine - INFO - Epoch(train) [25][120/2505] lr: 5.0000e-04 eta: 23:32:32 time: 0.9176 data_time: 0.3556 memory: 32703 grad_norm: 19.2057 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5448 loss: 1.5448 2022/07/30 06:56:26 - mmengine - INFO - Epoch(train) [25][140/2505] lr: 5.0000e-04 eta: 23:32:15 time: 1.0765 data_time: 0.4410 memory: 32703 grad_norm: 19.4513 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2828 loss: 1.2828 2022/07/30 06:56:43 - mmengine - INFO - Epoch(train) [25][160/2505] lr: 5.0000e-04 eta: 23:31:51 time: 0.8680 data_time: 0.2260 memory: 32703 grad_norm: 19.0451 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3006 loss: 1.3006 2022/07/30 06:57:05 - mmengine - INFO - Epoch(train) [25][180/2505] lr: 5.0000e-04 eta: 23:31:33 time: 1.0497 data_time: 0.4029 memory: 32703 grad_norm: 19.5414 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4494 loss: 1.4494 2022/07/30 06:57:23 - mmengine - INFO - Epoch(train) [25][200/2505] lr: 5.0000e-04 eta: 23:31:11 time: 0.9250 data_time: 0.2584 memory: 32703 grad_norm: 19.2905 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4691 loss: 1.4691 2022/07/30 06:57:44 - mmengine - INFO - Epoch(train) [25][220/2505] lr: 5.0000e-04 eta: 23:30:53 time: 1.0649 data_time: 0.3118 memory: 32703 grad_norm: 19.6892 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2822 loss: 1.2822 2022/07/30 06:58:02 - mmengine - INFO - Epoch(train) [25][240/2505] lr: 5.0000e-04 eta: 23:30:30 time: 0.8980 data_time: 0.2875 memory: 32703 grad_norm: 19.5177 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.6178 loss: 1.6178 2022/07/30 06:58:24 - mmengine - INFO - Epoch(train) [25][260/2505] lr: 5.0000e-04 eta: 23:30:13 time: 1.0934 data_time: 0.4682 memory: 32703 grad_norm: 19.1153 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3977 loss: 1.3977 2022/07/30 06:58:42 - mmengine - INFO - Epoch(train) [25][280/2505] lr: 5.0000e-04 eta: 23:29:51 time: 0.9072 data_time: 0.3208 memory: 32703 grad_norm: 19.1264 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3037 loss: 1.3037 2022/07/30 06:59:03 - mmengine - INFO - Epoch(train) [25][300/2505] lr: 5.0000e-04 eta: 23:29:32 time: 1.0441 data_time: 0.4547 memory: 32703 grad_norm: 20.4304 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3905 loss: 1.3905 2022/07/30 06:59:22 - mmengine - INFO - Epoch(train) [25][320/2505] lr: 5.0000e-04 eta: 23:29:10 time: 0.9202 data_time: 0.3498 memory: 32703 grad_norm: 19.2074 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5268 loss: 1.5268 2022/07/30 06:59:43 - mmengine - INFO - Epoch(train) [25][340/2505] lr: 5.0000e-04 eta: 23:28:53 time: 1.0895 data_time: 0.5001 memory: 32703 grad_norm: 19.8512 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3652 loss: 1.3652 2022/07/30 07:00:01 - mmengine - INFO - Epoch(train) [25][360/2505] lr: 5.0000e-04 eta: 23:28:30 time: 0.8896 data_time: 0.2951 memory: 32703 grad_norm: 19.5690 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1579 loss: 1.1579 2022/07/30 07:00:23 - mmengine - INFO - Epoch(train) [25][380/2505] lr: 5.0000e-04 eta: 23:28:12 time: 1.0802 data_time: 0.5112 memory: 32703 grad_norm: 20.0135 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5115 loss: 1.5115 2022/07/30 07:00:41 - mmengine - INFO - Epoch(train) [25][400/2505] lr: 5.0000e-04 eta: 23:27:50 time: 0.9275 data_time: 0.3274 memory: 32703 grad_norm: 19.7380 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5391 loss: 1.5391 2022/07/30 07:01:03 - mmengine - INFO - Epoch(train) [25][420/2505] lr: 5.0000e-04 eta: 23:27:33 time: 1.0929 data_time: 0.4742 memory: 32703 grad_norm: 19.4030 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3736 loss: 1.3736 2022/07/30 07:01:21 - mmengine - INFO - Epoch(train) [25][440/2505] lr: 5.0000e-04 eta: 23:27:10 time: 0.9000 data_time: 0.2954 memory: 32703 grad_norm: 20.7886 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3153 loss: 1.3153 2022/07/30 07:01:41 - mmengine - INFO - Epoch(train) [25][460/2505] lr: 5.0000e-04 eta: 23:26:51 time: 1.0132 data_time: 0.4031 memory: 32703 grad_norm: 18.9079 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1381 loss: 1.1381 2022/07/30 07:02:01 - mmengine - INFO - Epoch(train) [25][480/2505] lr: 5.0000e-04 eta: 23:26:30 time: 0.9613 data_time: 0.3487 memory: 32703 grad_norm: 20.3672 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4918 loss: 1.4918 2022/07/30 07:02:21 - mmengine - INFO - Epoch(train) [25][500/2505] lr: 5.0000e-04 eta: 23:26:10 time: 1.0038 data_time: 0.4034 memory: 32703 grad_norm: 19.4514 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6448 loss: 1.6448 2022/07/30 07:02:40 - mmengine - INFO - Epoch(train) [25][520/2505] lr: 5.0000e-04 eta: 23:25:49 time: 0.9632 data_time: 0.3367 memory: 32703 grad_norm: 19.1944 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3182 loss: 1.3182 2022/07/30 07:03:00 - mmengine - INFO - Epoch(train) [25][540/2505] lr: 5.0000e-04 eta: 23:25:29 time: 0.9977 data_time: 0.4236 memory: 32703 grad_norm: 18.8576 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.2801 loss: 1.2801 2022/07/30 07:03:19 - mmengine - INFO - Epoch(train) [25][560/2505] lr: 5.0000e-04 eta: 23:25:08 time: 0.9596 data_time: 0.3462 memory: 32703 grad_norm: 20.5265 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5170 loss: 1.5170 2022/07/30 07:03:40 - mmengine - INFO - Epoch(train) [25][580/2505] lr: 5.0000e-04 eta: 23:24:50 time: 1.0444 data_time: 0.4368 memory: 32703 grad_norm: 19.7913 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4431 loss: 1.4431 2022/07/30 07:03:58 - mmengine - INFO - Epoch(train) [25][600/2505] lr: 5.0000e-04 eta: 23:24:28 time: 0.9177 data_time: 0.3037 memory: 32703 grad_norm: 19.6109 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4047 loss: 1.4047 2022/07/30 07:04:19 - mmengine - INFO - Epoch(train) [25][620/2505] lr: 5.0000e-04 eta: 23:24:09 time: 1.0449 data_time: 0.4386 memory: 32703 grad_norm: 19.4615 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4773 loss: 1.4773 2022/07/30 07:04:37 - mmengine - INFO - Epoch(train) [25][640/2505] lr: 5.0000e-04 eta: 23:23:47 time: 0.9025 data_time: 0.3108 memory: 32703 grad_norm: 19.3372 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3298 loss: 1.3298 2022/07/30 07:04:59 - mmengine - INFO - Epoch(train) [25][660/2505] lr: 5.0000e-04 eta: 23:23:29 time: 1.0902 data_time: 0.4782 memory: 32703 grad_norm: 19.1536 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5500 loss: 1.5500 2022/07/30 07:05:18 - mmengine - INFO - Epoch(train) [25][680/2505] lr: 5.0000e-04 eta: 23:23:07 time: 0.9240 data_time: 0.3118 memory: 32703 grad_norm: 20.9018 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4743 loss: 1.4743 2022/07/30 07:05:39 - mmengine - INFO - Epoch(train) [25][700/2505] lr: 5.0000e-04 eta: 23:22:50 time: 1.0699 data_time: 0.4628 memory: 32703 grad_norm: 18.9151 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3636 loss: 1.3636 2022/07/30 07:05:56 - mmengine - INFO - Epoch(train) [25][720/2505] lr: 5.0000e-04 eta: 23:22:25 time: 0.8406 data_time: 0.2675 memory: 32703 grad_norm: 20.2546 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5597 loss: 1.5597 2022/07/30 07:06:18 - mmengine - INFO - Epoch(train) [25][740/2505] lr: 5.0000e-04 eta: 23:22:09 time: 1.1145 data_time: 0.4985 memory: 32703 grad_norm: 19.6241 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6376 loss: 1.6376 2022/07/30 07:06:35 - mmengine - INFO - Epoch(train) [25][760/2505] lr: 5.0000e-04 eta: 23:21:45 time: 0.8614 data_time: 0.2885 memory: 32703 grad_norm: 19.8349 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2315 loss: 1.2315 2022/07/30 07:06:56 - mmengine - INFO - Epoch(train) [25][780/2505] lr: 5.0000e-04 eta: 23:21:25 time: 1.0041 data_time: 0.3935 memory: 32703 grad_norm: 20.7742 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4681 loss: 1.4681 2022/07/30 07:07:14 - mmengine - INFO - Epoch(train) [25][800/2505] lr: 5.0000e-04 eta: 23:21:03 time: 0.9004 data_time: 0.2933 memory: 32703 grad_norm: 20.7072 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2698 loss: 1.2698 2022/07/30 07:07:35 - mmengine - INFO - Epoch(train) [25][820/2505] lr: 5.0000e-04 eta: 23:20:45 time: 1.0623 data_time: 0.4590 memory: 32703 grad_norm: 18.8681 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.4179 loss: 1.4179 2022/07/30 07:07:53 - mmengine - INFO - Epoch(train) [25][840/2505] lr: 5.0000e-04 eta: 23:20:23 time: 0.9276 data_time: 0.3225 memory: 32703 grad_norm: 19.9393 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5266 loss: 1.5266 2022/07/30 07:08:14 - mmengine - INFO - Epoch(train) [25][860/2505] lr: 5.0000e-04 eta: 23:20:04 time: 1.0434 data_time: 0.4349 memory: 32703 grad_norm: 19.0178 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3999 loss: 1.3999 2022/07/30 07:08:33 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 07:08:34 - mmengine - INFO - Epoch(train) [25][880/2505] lr: 5.0000e-04 eta: 23:19:43 time: 0.9628 data_time: 0.3632 memory: 32703 grad_norm: 19.5812 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.2683 loss: 1.2683 2022/07/30 07:08:55 - mmengine - INFO - Epoch(train) [25][900/2505] lr: 5.0000e-04 eta: 23:19:26 time: 1.0845 data_time: 0.4722 memory: 32703 grad_norm: 18.9588 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4696 loss: 1.4696 2022/07/30 07:09:14 - mmengine - INFO - Epoch(train) [25][920/2505] lr: 5.0000e-04 eta: 23:19:04 time: 0.9347 data_time: 0.3359 memory: 32703 grad_norm: 19.1901 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3191 loss: 1.3191 2022/07/30 07:09:35 - mmengine - INFO - Epoch(train) [25][940/2505] lr: 5.0000e-04 eta: 23:18:46 time: 1.0531 data_time: 0.4395 memory: 32703 grad_norm: 19.8329 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4153 loss: 1.4153 2022/07/30 07:09:53 - mmengine - INFO - Epoch(train) [25][960/2505] lr: 5.0000e-04 eta: 23:18:23 time: 0.9046 data_time: 0.2972 memory: 32703 grad_norm: 19.6559 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2624 loss: 1.2624 2022/07/30 07:10:15 - mmengine - INFO - Epoch(train) [25][980/2505] lr: 5.0000e-04 eta: 23:18:05 time: 1.0693 data_time: 0.4672 memory: 32703 grad_norm: 18.6239 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4918 loss: 1.4918 2022/07/30 07:10:33 - mmengine - INFO - Epoch(train) [25][1000/2505] lr: 5.0000e-04 eta: 23:17:44 time: 0.9367 data_time: 0.3410 memory: 32703 grad_norm: 19.6798 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1118 loss: 1.1118 2022/07/30 07:10:54 - mmengine - INFO - Epoch(train) [25][1020/2505] lr: 5.0000e-04 eta: 23:17:25 time: 1.0231 data_time: 0.4173 memory: 32703 grad_norm: 18.3878 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3056 loss: 1.3056 2022/07/30 07:11:12 - mmengine - INFO - Epoch(train) [25][1040/2505] lr: 5.0000e-04 eta: 23:17:03 time: 0.9235 data_time: 0.3256 memory: 32703 grad_norm: 19.8574 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.1755 loss: 1.1755 2022/07/30 07:11:33 - mmengine - INFO - Epoch(train) [25][1060/2505] lr: 5.0000e-04 eta: 23:16:44 time: 1.0589 data_time: 0.4495 memory: 32703 grad_norm: 19.2893 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5647 loss: 1.5647 2022/07/30 07:11:52 - mmengine - INFO - Epoch(train) [25][1080/2505] lr: 5.0000e-04 eta: 23:16:23 time: 0.9257 data_time: 0.3289 memory: 32703 grad_norm: 19.6945 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5638 loss: 1.5638 2022/07/30 07:12:13 - mmengine - INFO - Epoch(train) [25][1100/2505] lr: 5.0000e-04 eta: 23:16:05 time: 1.0758 data_time: 0.4685 memory: 32703 grad_norm: 19.3403 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2476 loss: 1.2476 2022/07/30 07:12:31 - mmengine - INFO - Epoch(train) [25][1120/2505] lr: 5.0000e-04 eta: 23:15:42 time: 0.8868 data_time: 0.2997 memory: 32703 grad_norm: 19.1673 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3292 loss: 1.3292 2022/07/30 07:12:52 - mmengine - INFO - Epoch(train) [25][1140/2505] lr: 5.0000e-04 eta: 23:15:23 time: 1.0492 data_time: 0.4535 memory: 32703 grad_norm: 19.7313 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5236 loss: 1.5236 2022/07/30 07:13:11 - mmengine - INFO - Epoch(train) [25][1160/2505] lr: 5.0000e-04 eta: 23:15:01 time: 0.9187 data_time: 0.3151 memory: 32703 grad_norm: 19.8175 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3938 loss: 1.3938 2022/07/30 07:13:32 - mmengine - INFO - Epoch(train) [25][1180/2505] lr: 5.0000e-04 eta: 23:14:44 time: 1.0841 data_time: 0.4946 memory: 32703 grad_norm: 19.0424 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4541 loss: 1.4541 2022/07/30 07:13:50 - mmengine - INFO - Epoch(train) [25][1200/2505] lr: 5.0000e-04 eta: 23:14:21 time: 0.8974 data_time: 0.2937 memory: 32703 grad_norm: 20.1045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4805 loss: 1.4805 2022/07/30 07:14:11 - mmengine - INFO - Epoch(train) [25][1220/2505] lr: 5.0000e-04 eta: 23:14:03 time: 1.0421 data_time: 0.4606 memory: 32703 grad_norm: 20.3812 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6790 loss: 1.6790 2022/07/30 07:14:29 - mmengine - INFO - Epoch(train) [25][1240/2505] lr: 5.0000e-04 eta: 23:13:40 time: 0.8998 data_time: 0.3004 memory: 32703 grad_norm: 20.0194 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4045 loss: 1.4045 2022/07/30 07:14:50 - mmengine - INFO - Epoch(train) [25][1260/2505] lr: 5.0000e-04 eta: 23:13:21 time: 1.0395 data_time: 0.4570 memory: 32703 grad_norm: 18.6011 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4160 loss: 1.4160 2022/07/30 07:15:08 - mmengine - INFO - Epoch(train) [25][1280/2505] lr: 5.0000e-04 eta: 23:12:59 time: 0.9167 data_time: 0.3191 memory: 32703 grad_norm: 19.4065 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4969 loss: 1.4969 2022/07/30 07:15:30 - mmengine - INFO - Epoch(train) [25][1300/2505] lr: 5.0000e-04 eta: 23:12:41 time: 1.0675 data_time: 0.4684 memory: 32703 grad_norm: 19.6316 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4063 loss: 1.4063 2022/07/30 07:15:47 - mmengine - INFO - Epoch(train) [25][1320/2505] lr: 5.0000e-04 eta: 23:12:18 time: 0.8867 data_time: 0.2809 memory: 32703 grad_norm: 18.7027 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5170 loss: 1.5170 2022/07/30 07:16:08 - mmengine - INFO - Epoch(train) [25][1340/2505] lr: 5.0000e-04 eta: 23:11:59 time: 1.0389 data_time: 0.4192 memory: 32703 grad_norm: 19.8412 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3597 loss: 1.3597 2022/07/30 07:16:26 - mmengine - INFO - Epoch(train) [25][1360/2505] lr: 5.0000e-04 eta: 23:11:36 time: 0.8778 data_time: 0.2888 memory: 32703 grad_norm: 19.1294 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2945 loss: 1.2945 2022/07/30 07:16:46 - mmengine - INFO - Epoch(train) [25][1380/2505] lr: 5.0000e-04 eta: 23:11:18 time: 1.0406 data_time: 0.4336 memory: 32703 grad_norm: 19.6903 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4810 loss: 1.4810 2022/07/30 07:17:05 - mmengine - INFO - Epoch(train) [25][1400/2505] lr: 5.0000e-04 eta: 23:10:56 time: 0.9416 data_time: 0.2888 memory: 32703 grad_norm: 19.4766 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4208 loss: 1.4208 2022/07/30 07:17:27 - mmengine - INFO - Epoch(train) [25][1420/2505] lr: 5.0000e-04 eta: 23:10:38 time: 1.0724 data_time: 0.4497 memory: 32703 grad_norm: 19.3539 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2336 loss: 1.2336 2022/07/30 07:17:45 - mmengine - INFO - Epoch(train) [25][1440/2505] lr: 5.0000e-04 eta: 23:10:16 time: 0.9065 data_time: 0.2721 memory: 32703 grad_norm: 20.1208 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5418 loss: 1.5418 2022/07/30 07:18:06 - mmengine - INFO - Epoch(train) [25][1460/2505] lr: 5.0000e-04 eta: 23:09:58 time: 1.0562 data_time: 0.4107 memory: 32703 grad_norm: 20.1291 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2532 loss: 1.2532 2022/07/30 07:18:25 - mmengine - INFO - Epoch(train) [25][1480/2505] lr: 5.0000e-04 eta: 23:09:37 time: 0.9789 data_time: 0.2150 memory: 32703 grad_norm: 19.3954 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3548 loss: 1.3548 2022/07/30 07:18:45 - mmengine - INFO - Epoch(train) [25][1500/2505] lr: 5.0000e-04 eta: 23:09:17 time: 0.9985 data_time: 0.3072 memory: 32703 grad_norm: 19.7660 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6123 loss: 1.6123 2022/07/30 07:19:05 - mmengine - INFO - Epoch(train) [25][1520/2505] lr: 5.0000e-04 eta: 23:08:58 time: 0.9977 data_time: 0.1476 memory: 32703 grad_norm: 20.4272 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2540 loss: 1.2540 2022/07/30 07:19:24 - mmengine - INFO - Epoch(train) [25][1540/2505] lr: 5.0000e-04 eta: 23:08:36 time: 0.9428 data_time: 0.0940 memory: 32703 grad_norm: 19.2656 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5566 loss: 1.5566 2022/07/30 07:19:45 - mmengine - INFO - Epoch(train) [25][1560/2505] lr: 5.0000e-04 eta: 23:08:17 time: 1.0189 data_time: 0.0441 memory: 32703 grad_norm: 19.2898 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4086 loss: 1.4086 2022/07/30 07:20:05 - mmengine - INFO - Epoch(train) [25][1580/2505] lr: 5.0000e-04 eta: 23:07:57 time: 1.0073 data_time: 0.2638 memory: 32703 grad_norm: 20.2545 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3379 loss: 1.3379 2022/07/30 07:20:24 - mmengine - INFO - Epoch(train) [25][1600/2505] lr: 5.0000e-04 eta: 23:07:37 time: 0.9800 data_time: 0.1804 memory: 32703 grad_norm: 19.0272 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2413 loss: 1.2413 2022/07/30 07:20:45 - mmengine - INFO - Epoch(train) [25][1620/2505] lr: 5.0000e-04 eta: 23:07:17 time: 1.0049 data_time: 0.3112 memory: 32703 grad_norm: 19.4093 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5719 loss: 1.5719 2022/07/30 07:21:04 - mmengine - INFO - Epoch(train) [25][1640/2505] lr: 5.0000e-04 eta: 23:06:57 time: 0.9789 data_time: 0.1810 memory: 32703 grad_norm: 19.9485 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3200 loss: 1.3200 2022/07/30 07:21:24 - mmengine - INFO - Epoch(train) [25][1660/2505] lr: 5.0000e-04 eta: 23:06:37 time: 1.0070 data_time: 0.2952 memory: 32703 grad_norm: 19.8278 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4163 loss: 1.4163 2022/07/30 07:21:44 - mmengine - INFO - Epoch(train) [25][1680/2505] lr: 5.0000e-04 eta: 23:06:16 time: 0.9660 data_time: 0.2017 memory: 32703 grad_norm: 20.4504 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5653 loss: 1.5653 2022/07/30 07:22:03 - mmengine - INFO - Epoch(train) [25][1700/2505] lr: 5.0000e-04 eta: 23:05:56 time: 0.9634 data_time: 0.1750 memory: 32703 grad_norm: 19.8789 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4678 loss: 1.4678 2022/07/30 07:22:24 - mmengine - INFO - Epoch(train) [25][1720/2505] lr: 5.0000e-04 eta: 23:05:37 time: 1.0428 data_time: 0.0977 memory: 32703 grad_norm: 19.2314 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3497 loss: 1.3497 2022/07/30 07:22:43 - mmengine - INFO - Epoch(train) [25][1740/2505] lr: 5.0000e-04 eta: 23:05:16 time: 0.9729 data_time: 0.0291 memory: 32703 grad_norm: 20.0783 top1_acc: 0.4167 top5_acc: 1.0000 loss_cls: 1.5554 loss: 1.5554 2022/07/30 07:23:03 - mmengine - INFO - Epoch(train) [25][1760/2505] lr: 5.0000e-04 eta: 23:04:56 time: 0.9996 data_time: 0.0279 memory: 32703 grad_norm: 20.2836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1800 loss: 1.1800 2022/07/30 07:23:22 - mmengine - INFO - Epoch(train) [25][1780/2505] lr: 5.0000e-04 eta: 23:04:34 time: 0.9182 data_time: 0.0299 memory: 32703 grad_norm: 19.7797 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2213 loss: 1.2213 2022/07/30 07:23:42 - mmengine - INFO - Epoch(train) [25][1800/2505] lr: 5.0000e-04 eta: 23:04:16 time: 1.0466 data_time: 0.0267 memory: 32703 grad_norm: 19.5448 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4033 loss: 1.4033 2022/07/30 07:24:02 - mmengine - INFO - Epoch(train) [25][1820/2505] lr: 5.0000e-04 eta: 23:03:55 time: 0.9650 data_time: 0.0293 memory: 32703 grad_norm: 19.5020 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5177 loss: 1.5177 2022/07/30 07:24:22 - mmengine - INFO - Epoch(train) [25][1840/2505] lr: 5.0000e-04 eta: 23:03:35 time: 0.9919 data_time: 0.0280 memory: 32703 grad_norm: 19.4421 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2059 loss: 1.2059 2022/07/30 07:24:40 - mmengine - INFO - Epoch(train) [25][1860/2505] lr: 5.0000e-04 eta: 23:03:14 time: 0.9409 data_time: 0.0291 memory: 32703 grad_norm: 19.9025 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6711 loss: 1.6711 2022/07/30 07:25:01 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 07:25:01 - mmengine - INFO - Epoch(train) [25][1880/2505] lr: 5.0000e-04 eta: 23:02:55 time: 1.0428 data_time: 0.0271 memory: 32703 grad_norm: 19.4123 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4773 loss: 1.4773 2022/07/30 07:25:19 - mmengine - INFO - Epoch(train) [25][1900/2505] lr: 5.0000e-04 eta: 23:02:32 time: 0.8953 data_time: 0.0403 memory: 32703 grad_norm: 20.3221 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3729 loss: 1.3729 2022/07/30 07:25:41 - mmengine - INFO - Epoch(train) [25][1920/2505] lr: 5.0000e-04 eta: 23:02:15 time: 1.1097 data_time: 0.0297 memory: 32703 grad_norm: 19.6561 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3418 loss: 1.3418 2022/07/30 07:25:59 - mmengine - INFO - Epoch(train) [25][1940/2505] lr: 5.0000e-04 eta: 23:01:53 time: 0.8999 data_time: 0.0276 memory: 32703 grad_norm: 21.3186 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4283 loss: 1.4283 2022/07/30 07:26:21 - mmengine - INFO - Epoch(train) [25][1960/2505] lr: 5.0000e-04 eta: 23:01:35 time: 1.0608 data_time: 0.0278 memory: 32703 grad_norm: 19.6278 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1598 loss: 1.1598 2022/07/30 07:26:38 - mmengine - INFO - Epoch(train) [25][1980/2505] lr: 5.0000e-04 eta: 23:01:11 time: 0.8472 data_time: 0.0277 memory: 32703 grad_norm: 19.0241 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3722 loss: 1.3722 2022/07/30 07:27:00 - mmengine - INFO - Epoch(train) [25][2000/2505] lr: 5.0000e-04 eta: 23:00:55 time: 1.1303 data_time: 0.0274 memory: 32703 grad_norm: 19.0163 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6926 loss: 1.6926 2022/07/30 07:27:17 - mmengine - INFO - Epoch(train) [25][2020/2505] lr: 5.0000e-04 eta: 23:00:31 time: 0.8570 data_time: 0.0291 memory: 32703 grad_norm: 19.6855 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4592 loss: 1.4592 2022/07/30 07:27:39 - mmengine - INFO - Epoch(train) [25][2040/2505] lr: 5.0000e-04 eta: 23:00:14 time: 1.0924 data_time: 0.0320 memory: 32703 grad_norm: 19.7421 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3683 loss: 1.3683 2022/07/30 07:27:57 - mmengine - INFO - Epoch(train) [25][2060/2505] lr: 5.0000e-04 eta: 22:59:50 time: 0.8681 data_time: 0.0286 memory: 32703 grad_norm: 19.8181 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3875 loss: 1.3875 2022/07/30 07:28:17 - mmengine - INFO - Epoch(train) [25][2080/2505] lr: 5.0000e-04 eta: 22:59:31 time: 1.0312 data_time: 0.0258 memory: 32703 grad_norm: 18.7030 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5011 loss: 1.5011 2022/07/30 07:28:36 - mmengine - INFO - Epoch(train) [25][2100/2505] lr: 5.0000e-04 eta: 22:59:09 time: 0.9179 data_time: 0.0703 memory: 32703 grad_norm: 20.6054 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3184 loss: 1.3184 2022/07/30 07:28:56 - mmengine - INFO - Epoch(train) [25][2120/2505] lr: 5.0000e-04 eta: 22:58:50 time: 1.0148 data_time: 0.0303 memory: 32703 grad_norm: 19.8640 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3433 loss: 1.3433 2022/07/30 07:29:15 - mmengine - INFO - Epoch(train) [25][2140/2505] lr: 5.0000e-04 eta: 22:58:28 time: 0.9390 data_time: 0.0908 memory: 32703 grad_norm: 19.2497 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4384 loss: 1.4384 2022/07/30 07:29:35 - mmengine - INFO - Epoch(train) [25][2160/2505] lr: 5.0000e-04 eta: 22:58:09 time: 1.0320 data_time: 0.0585 memory: 32703 grad_norm: 19.6656 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3446 loss: 1.3446 2022/07/30 07:29:55 - mmengine - INFO - Epoch(train) [25][2180/2505] lr: 5.0000e-04 eta: 22:57:49 time: 0.9764 data_time: 0.2419 memory: 32703 grad_norm: 19.0587 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3977 loss: 1.3977 2022/07/30 07:30:15 - mmengine - INFO - Epoch(train) [25][2200/2505] lr: 5.0000e-04 eta: 22:57:30 time: 1.0201 data_time: 0.1694 memory: 32703 grad_norm: 19.6814 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4562 loss: 1.4562 2022/07/30 07:30:33 - mmengine - INFO - Epoch(train) [25][2220/2505] lr: 5.0000e-04 eta: 22:57:07 time: 0.9063 data_time: 0.0785 memory: 32703 grad_norm: 20.4103 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0013 loss: 1.0013 2022/07/30 07:30:55 - mmengine - INFO - Epoch(train) [25][2240/2505] lr: 5.0000e-04 eta: 22:56:49 time: 1.0730 data_time: 0.0297 memory: 32703 grad_norm: 19.3433 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3282 loss: 1.3282 2022/07/30 07:31:13 - mmengine - INFO - Epoch(train) [25][2260/2505] lr: 5.0000e-04 eta: 22:56:28 time: 0.9237 data_time: 0.0679 memory: 32703 grad_norm: 19.0881 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0302 loss: 1.0302 2022/07/30 07:31:35 - mmengine - INFO - Epoch(train) [25][2280/2505] lr: 5.0000e-04 eta: 22:56:10 time: 1.0688 data_time: 0.0400 memory: 32703 grad_norm: 19.1821 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1893 loss: 1.1893 2022/07/30 07:31:53 - mmengine - INFO - Epoch(train) [25][2300/2505] lr: 5.0000e-04 eta: 22:55:48 time: 0.9251 data_time: 0.0332 memory: 32703 grad_norm: 19.4418 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4010 loss: 1.4010 2022/07/30 07:32:14 - mmengine - INFO - Epoch(train) [25][2320/2505] lr: 5.0000e-04 eta: 22:55:30 time: 1.0624 data_time: 0.0521 memory: 32703 grad_norm: 19.1092 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4440 loss: 1.4440 2022/07/30 07:32:33 - mmengine - INFO - Epoch(train) [25][2340/2505] lr: 5.0000e-04 eta: 22:55:07 time: 0.9093 data_time: 0.1285 memory: 32703 grad_norm: 19.5666 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4090 loss: 1.4090 2022/07/30 07:32:53 - mmengine - INFO - Epoch(train) [25][2360/2505] lr: 5.0000e-04 eta: 22:54:48 time: 1.0193 data_time: 0.0323 memory: 32703 grad_norm: 19.4054 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6182 loss: 1.6182 2022/07/30 07:33:12 - mmengine - INFO - Epoch(train) [25][2380/2505] lr: 5.0000e-04 eta: 22:54:27 time: 0.9541 data_time: 0.0652 memory: 32703 grad_norm: 18.9218 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3626 loss: 1.3626 2022/07/30 07:33:33 - mmengine - INFO - Epoch(train) [25][2400/2505] lr: 5.0000e-04 eta: 22:54:08 time: 1.0299 data_time: 0.1737 memory: 32703 grad_norm: 19.4219 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2376 loss: 1.2376 2022/07/30 07:33:54 - mmengine - INFO - Epoch(train) [25][2420/2505] lr: 5.0000e-04 eta: 22:53:50 time: 1.0592 data_time: 0.4115 memory: 32703 grad_norm: 19.6055 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4412 loss: 1.4412 2022/07/30 07:34:12 - mmengine - INFO - Epoch(train) [25][2440/2505] lr: 5.0000e-04 eta: 22:53:27 time: 0.8784 data_time: 0.2675 memory: 32703 grad_norm: 18.8373 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6008 loss: 1.6008 2022/07/30 07:34:32 - mmengine - INFO - Epoch(train) [25][2460/2505] lr: 5.0000e-04 eta: 22:53:08 time: 1.0349 data_time: 0.4312 memory: 32703 grad_norm: 19.6766 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5269 loss: 1.5269 2022/07/30 07:34:50 - mmengine - INFO - Epoch(train) [25][2480/2505] lr: 5.0000e-04 eta: 22:52:46 time: 0.9130 data_time: 0.2833 memory: 32703 grad_norm: 20.2724 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6261 loss: 1.6261 2022/07/30 07:35:08 - mmengine - INFO - Epoch(train) [25][2500/2505] lr: 5.0000e-04 eta: 22:52:23 time: 0.8988 data_time: 0.2484 memory: 32703 grad_norm: 19.4898 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4760 loss: 1.4760 2022/07/30 07:35:11 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 07:35:11 - mmengine - INFO - Epoch(train) [25][2505/2505] lr: 5.0000e-04 eta: 22:52:23 time: 0.7787 data_time: 0.1308 memory: 32703 grad_norm: 19.8114 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.4707 loss: 1.4707 2022/07/30 07:35:38 - mmengine - INFO - Epoch(train) [26][20/2505] lr: 5.0000e-04 eta: 22:52:01 time: 1.3352 data_time: 0.6414 memory: 32703 grad_norm: 19.5671 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3768 loss: 1.3768 2022/07/30 07:35:56 - mmengine - INFO - Epoch(train) [26][40/2505] lr: 5.0000e-04 eta: 22:51:38 time: 0.8978 data_time: 0.1873 memory: 32703 grad_norm: 19.0369 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1764 loss: 1.1764 2022/07/30 07:36:18 - mmengine - INFO - Epoch(train) [26][60/2505] lr: 5.0000e-04 eta: 22:51:22 time: 1.1191 data_time: 0.3162 memory: 32703 grad_norm: 18.4132 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3916 loss: 1.3916 2022/07/30 07:36:37 - mmengine - INFO - Epoch(train) [26][80/2505] lr: 5.0000e-04 eta: 22:51:00 time: 0.9236 data_time: 0.1442 memory: 32703 grad_norm: 19.9012 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3215 loss: 1.3215 2022/07/30 07:36:58 - mmengine - INFO - Epoch(train) [26][100/2505] lr: 5.0000e-04 eta: 22:50:41 time: 1.0386 data_time: 0.1141 memory: 32703 grad_norm: 18.7209 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6181 loss: 1.6181 2022/07/30 07:37:16 - mmengine - INFO - Epoch(train) [26][120/2505] lr: 5.0000e-04 eta: 22:50:19 time: 0.9044 data_time: 0.0781 memory: 32703 grad_norm: 20.4310 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3759 loss: 1.3759 2022/07/30 07:37:38 - mmengine - INFO - Epoch(train) [26][140/2505] lr: 5.0000e-04 eta: 22:50:01 time: 1.0945 data_time: 0.1546 memory: 32703 grad_norm: 20.5374 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5895 loss: 1.5895 2022/07/30 07:37:55 - mmengine - INFO - Epoch(train) [26][160/2505] lr: 5.0000e-04 eta: 22:49:38 time: 0.8890 data_time: 0.0490 memory: 32703 grad_norm: 19.5923 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5154 loss: 1.5154 2022/07/30 07:38:17 - mmengine - INFO - Epoch(train) [26][180/2505] lr: 5.0000e-04 eta: 22:49:21 time: 1.0864 data_time: 0.0791 memory: 32703 grad_norm: 20.2874 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4457 loss: 1.4457 2022/07/30 07:38:35 - mmengine - INFO - Epoch(train) [26][200/2505] lr: 5.0000e-04 eta: 22:48:59 time: 0.9138 data_time: 0.0277 memory: 32703 grad_norm: 19.6736 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.6498 loss: 1.6498 2022/07/30 07:38:58 - mmengine - INFO - Epoch(train) [26][220/2505] lr: 5.0000e-04 eta: 22:48:42 time: 1.1061 data_time: 0.1191 memory: 32703 grad_norm: 19.1875 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5051 loss: 1.5051 2022/07/30 07:39:16 - mmengine - INFO - Epoch(train) [26][240/2505] lr: 5.0000e-04 eta: 22:48:20 time: 0.9107 data_time: 0.1982 memory: 32703 grad_norm: 20.0720 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5920 loss: 1.5920 2022/07/30 07:39:37 - mmengine - INFO - Epoch(train) [26][260/2505] lr: 5.0000e-04 eta: 22:48:01 time: 1.0324 data_time: 0.2106 memory: 32703 grad_norm: 19.4110 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4723 loss: 1.4723 2022/07/30 07:39:54 - mmengine - INFO - Epoch(train) [26][280/2505] lr: 5.0000e-04 eta: 22:47:38 time: 0.8935 data_time: 0.0584 memory: 32703 grad_norm: 19.5365 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3364 loss: 1.3364 2022/07/30 07:40:16 - mmengine - INFO - Epoch(train) [26][300/2505] lr: 5.0000e-04 eta: 22:47:20 time: 1.0733 data_time: 0.0405 memory: 32703 grad_norm: 19.1492 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4423 loss: 1.4423 2022/07/30 07:40:35 - mmengine - INFO - Epoch(train) [26][320/2505] lr: 5.0000e-04 eta: 22:46:59 time: 0.9513 data_time: 0.0330 memory: 32703 grad_norm: 19.7107 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.3965 loss: 1.3965 2022/07/30 07:40:55 - mmengine - INFO - Epoch(train) [26][340/2505] lr: 5.0000e-04 eta: 22:46:39 time: 1.0059 data_time: 0.0308 memory: 32703 grad_norm: 19.2697 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6167 loss: 1.6167 2022/07/30 07:41:14 - mmengine - INFO - Epoch(train) [26][360/2505] lr: 5.0000e-04 eta: 22:46:19 time: 0.9692 data_time: 0.0323 memory: 32703 grad_norm: 19.9241 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3319 loss: 1.3319 2022/07/30 07:41:29 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 07:41:35 - mmengine - INFO - Epoch(train) [26][380/2505] lr: 5.0000e-04 eta: 22:46:00 time: 1.0347 data_time: 0.0328 memory: 32703 grad_norm: 20.1527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4540 loss: 1.4540 2022/07/30 07:41:53 - mmengine - INFO - Epoch(train) [26][400/2505] lr: 5.0000e-04 eta: 22:45:37 time: 0.9011 data_time: 0.0304 memory: 32703 grad_norm: 19.9256 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3901 loss: 1.3901 2022/07/30 07:42:15 - mmengine - INFO - Epoch(train) [26][420/2505] lr: 5.0000e-04 eta: 22:45:20 time: 1.0917 data_time: 0.0323 memory: 32703 grad_norm: 18.8714 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1453 loss: 1.1453 2022/07/30 07:42:33 - mmengine - INFO - Epoch(train) [26][440/2505] lr: 5.0000e-04 eta: 22:44:58 time: 0.9170 data_time: 0.0269 memory: 32703 grad_norm: 19.6948 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4454 loss: 1.4454 2022/07/30 07:42:55 - mmengine - INFO - Epoch(train) [26][460/2505] lr: 5.0000e-04 eta: 22:44:40 time: 1.0761 data_time: 0.0341 memory: 32703 grad_norm: 19.0066 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3205 loss: 1.3205 2022/07/30 07:43:13 - mmengine - INFO - Epoch(train) [26][480/2505] lr: 5.0000e-04 eta: 22:44:17 time: 0.8821 data_time: 0.0274 memory: 32703 grad_norm: 20.3218 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4247 loss: 1.4247 2022/07/30 07:43:34 - mmengine - INFO - Epoch(train) [26][500/2505] lr: 5.0000e-04 eta: 22:43:59 time: 1.0540 data_time: 0.0345 memory: 32703 grad_norm: 19.2629 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2473 loss: 1.2473 2022/07/30 07:43:52 - mmengine - INFO - Epoch(train) [26][520/2505] lr: 5.0000e-04 eta: 22:43:37 time: 0.9113 data_time: 0.0309 memory: 32703 grad_norm: 19.4400 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5990 loss: 1.5990 2022/07/30 07:44:13 - mmengine - INFO - Epoch(train) [26][540/2505] lr: 5.0000e-04 eta: 22:43:19 time: 1.0714 data_time: 0.0275 memory: 32703 grad_norm: 19.4826 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3117 loss: 1.3117 2022/07/30 07:44:31 - mmengine - INFO - Epoch(train) [26][560/2505] lr: 5.0000e-04 eta: 22:42:57 time: 0.9068 data_time: 0.0323 memory: 32703 grad_norm: 20.4441 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5024 loss: 1.5024 2022/07/30 07:44:52 - mmengine - INFO - Epoch(train) [26][580/2505] lr: 5.0000e-04 eta: 22:42:37 time: 1.0153 data_time: 0.0310 memory: 32703 grad_norm: 18.9025 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2719 loss: 1.2719 2022/07/30 07:45:10 - mmengine - INFO - Epoch(train) [26][600/2505] lr: 5.0000e-04 eta: 22:42:16 time: 0.9377 data_time: 0.0286 memory: 32703 grad_norm: 19.5536 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4519 loss: 1.4519 2022/07/30 07:45:32 - mmengine - INFO - Epoch(train) [26][620/2505] lr: 5.0000e-04 eta: 22:41:58 time: 1.0740 data_time: 0.0292 memory: 32703 grad_norm: 19.9396 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.4558 loss: 1.4558 2022/07/30 07:45:50 - mmengine - INFO - Epoch(train) [26][640/2505] lr: 5.0000e-04 eta: 22:41:36 time: 0.9146 data_time: 0.0265 memory: 32703 grad_norm: 20.2339 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4508 loss: 1.4508 2022/07/30 07:46:12 - mmengine - INFO - Epoch(train) [26][660/2505] lr: 5.0000e-04 eta: 22:41:19 time: 1.0962 data_time: 0.0383 memory: 32703 grad_norm: 19.0812 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4673 loss: 1.4673 2022/07/30 07:46:30 - mmengine - INFO - Epoch(train) [26][680/2505] lr: 5.0000e-04 eta: 22:40:56 time: 0.8801 data_time: 0.0315 memory: 32703 grad_norm: 19.1209 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3186 loss: 1.3186 2022/07/30 07:46:52 - mmengine - INFO - Epoch(train) [26][700/2505] lr: 5.0000e-04 eta: 22:40:38 time: 1.0904 data_time: 0.0276 memory: 32703 grad_norm: 18.9833 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2604 loss: 1.2604 2022/07/30 07:47:10 - mmengine - INFO - Epoch(train) [26][720/2505] lr: 5.0000e-04 eta: 22:40:16 time: 0.9141 data_time: 0.0330 memory: 32703 grad_norm: 19.3204 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2840 loss: 1.2840 2022/07/30 07:47:31 - mmengine - INFO - Epoch(train) [26][740/2505] lr: 5.0000e-04 eta: 22:39:58 time: 1.0593 data_time: 0.0289 memory: 32703 grad_norm: 20.2023 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.2025 loss: 1.2025 2022/07/30 07:47:49 - mmengine - INFO - Epoch(train) [26][760/2505] lr: 5.0000e-04 eta: 22:39:36 time: 0.9166 data_time: 0.0352 memory: 32703 grad_norm: 19.3583 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3577 loss: 1.3577 2022/07/30 07:48:10 - mmengine - INFO - Epoch(train) [26][780/2505] lr: 5.0000e-04 eta: 22:39:17 time: 1.0511 data_time: 0.0316 memory: 32703 grad_norm: 18.6796 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.4710 loss: 1.4710 2022/07/30 07:48:28 - mmengine - INFO - Epoch(train) [26][800/2505] lr: 5.0000e-04 eta: 22:38:55 time: 0.8931 data_time: 0.0333 memory: 32703 grad_norm: 19.0572 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5793 loss: 1.5793 2022/07/30 07:48:49 - mmengine - INFO - Epoch(train) [26][820/2505] lr: 5.0000e-04 eta: 22:38:36 time: 1.0386 data_time: 0.0319 memory: 32703 grad_norm: 19.8699 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5562 loss: 1.5562 2022/07/30 07:49:07 - mmengine - INFO - Epoch(train) [26][840/2505] lr: 5.0000e-04 eta: 22:38:14 time: 0.9237 data_time: 0.0273 memory: 32703 grad_norm: 19.7383 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5046 loss: 1.5046 2022/07/30 07:49:29 - mmengine - INFO - Epoch(train) [26][860/2505] lr: 5.0000e-04 eta: 22:37:56 time: 1.0595 data_time: 0.0293 memory: 32703 grad_norm: 20.2952 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5010 loss: 1.5010 2022/07/30 07:49:47 - mmengine - INFO - Epoch(train) [26][880/2505] lr: 5.0000e-04 eta: 22:37:34 time: 0.9008 data_time: 0.0291 memory: 32703 grad_norm: 19.7641 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2209 loss: 1.2209 2022/07/30 07:50:08 - mmengine - INFO - Epoch(train) [26][900/2505] lr: 5.0000e-04 eta: 22:37:16 time: 1.0825 data_time: 0.0318 memory: 32703 grad_norm: 19.1718 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2841 loss: 1.2841 2022/07/30 07:50:27 - mmengine - INFO - Epoch(train) [26][920/2505] lr: 5.0000e-04 eta: 22:36:54 time: 0.9334 data_time: 0.0279 memory: 32703 grad_norm: 18.7792 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2202 loss: 1.2202 2022/07/30 07:50:47 - mmengine - INFO - Epoch(train) [26][940/2505] lr: 5.0000e-04 eta: 22:36:35 time: 1.0082 data_time: 0.0295 memory: 32703 grad_norm: 20.1434 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4024 loss: 1.4024 2022/07/30 07:51:05 - mmengine - INFO - Epoch(train) [26][960/2505] lr: 5.0000e-04 eta: 22:36:12 time: 0.9040 data_time: 0.0309 memory: 32703 grad_norm: 19.2051 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4858 loss: 1.4858 2022/07/30 07:51:27 - mmengine - INFO - Epoch(train) [26][980/2505] lr: 5.0000e-04 eta: 22:35:54 time: 1.0677 data_time: 0.0275 memory: 32703 grad_norm: 19.6234 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4771 loss: 1.4771 2022/07/30 07:51:46 - mmengine - INFO - Epoch(train) [26][1000/2505] lr: 5.0000e-04 eta: 22:35:34 time: 0.9840 data_time: 0.0275 memory: 32703 grad_norm: 20.2825 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3421 loss: 1.3421 2022/07/30 07:52:07 - mmengine - INFO - Epoch(train) [26][1020/2505] lr: 5.0000e-04 eta: 22:35:15 time: 1.0429 data_time: 0.0333 memory: 32703 grad_norm: 20.1721 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6337 loss: 1.6337 2022/07/30 07:52:26 - mmengine - INFO - Epoch(train) [26][1040/2505] lr: 5.0000e-04 eta: 22:34:54 time: 0.9450 data_time: 0.0280 memory: 32703 grad_norm: 20.0369 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2758 loss: 1.2758 2022/07/30 07:52:46 - mmengine - INFO - Epoch(train) [26][1060/2505] lr: 5.0000e-04 eta: 22:34:34 time: 1.0050 data_time: 0.0282 memory: 32703 grad_norm: 19.0676 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5293 loss: 1.5293 2022/07/30 07:53:04 - mmengine - INFO - Epoch(train) [26][1080/2505] lr: 5.0000e-04 eta: 22:34:12 time: 0.8940 data_time: 0.0264 memory: 32703 grad_norm: 19.5479 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3028 loss: 1.3028 2022/07/30 07:53:25 - mmengine - INFO - Epoch(train) [26][1100/2505] lr: 5.0000e-04 eta: 22:33:53 time: 1.0351 data_time: 0.0307 memory: 32703 grad_norm: 19.4089 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2566 loss: 1.2566 2022/07/30 07:53:43 - mmengine - INFO - Epoch(train) [26][1120/2505] lr: 5.0000e-04 eta: 22:33:31 time: 0.9303 data_time: 0.0284 memory: 32703 grad_norm: 19.3020 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5141 loss: 1.5141 2022/07/30 07:54:05 - mmengine - INFO - Epoch(train) [26][1140/2505] lr: 5.0000e-04 eta: 22:33:14 time: 1.0778 data_time: 0.0292 memory: 32703 grad_norm: 19.8524 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4691 loss: 1.4691 2022/07/30 07:54:23 - mmengine - INFO - Epoch(train) [26][1160/2505] lr: 5.0000e-04 eta: 22:32:52 time: 0.9268 data_time: 0.0274 memory: 32703 grad_norm: 19.2513 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0184 loss: 1.0184 2022/07/30 07:54:45 - mmengine - INFO - Epoch(train) [26][1180/2505] lr: 5.0000e-04 eta: 22:32:34 time: 1.0676 data_time: 0.0276 memory: 32703 grad_norm: 19.3376 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1709 loss: 1.1709 2022/07/30 07:55:03 - mmengine - INFO - Epoch(train) [26][1200/2505] lr: 5.0000e-04 eta: 22:32:11 time: 0.8838 data_time: 0.0301 memory: 32703 grad_norm: 18.7513 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5042 loss: 1.5042 2022/07/30 07:55:24 - mmengine - INFO - Epoch(train) [26][1220/2505] lr: 5.0000e-04 eta: 22:31:53 time: 1.0803 data_time: 0.0284 memory: 32703 grad_norm: 20.2470 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4575 loss: 1.4575 2022/07/30 07:55:42 - mmengine - INFO - Epoch(train) [26][1240/2505] lr: 5.0000e-04 eta: 22:31:30 time: 0.8799 data_time: 0.0276 memory: 32703 grad_norm: 19.1690 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4002 loss: 1.4002 2022/07/30 07:56:03 - mmengine - INFO - Epoch(train) [26][1260/2505] lr: 5.0000e-04 eta: 22:31:12 time: 1.0697 data_time: 0.0307 memory: 32703 grad_norm: 20.2167 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5739 loss: 1.5739 2022/07/30 07:56:21 - mmengine - INFO - Epoch(train) [26][1280/2505] lr: 5.0000e-04 eta: 22:30:49 time: 0.8716 data_time: 0.0324 memory: 32703 grad_norm: 19.6078 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.3730 loss: 1.3730 2022/07/30 07:56:42 - mmengine - INFO - Epoch(train) [26][1300/2505] lr: 5.0000e-04 eta: 22:30:32 time: 1.0812 data_time: 0.0341 memory: 32703 grad_norm: 19.4616 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2578 loss: 1.2578 2022/07/30 07:57:00 - mmengine - INFO - Epoch(train) [26][1320/2505] lr: 5.0000e-04 eta: 22:30:08 time: 0.8680 data_time: 0.0341 memory: 32703 grad_norm: 19.6168 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1468 loss: 1.1468 2022/07/30 07:57:21 - mmengine - INFO - Epoch(train) [26][1340/2505] lr: 5.0000e-04 eta: 22:29:50 time: 1.0746 data_time: 0.0278 memory: 32703 grad_norm: 19.1033 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4741 loss: 1.4741 2022/07/30 07:57:39 - mmengine - INFO - Epoch(train) [26][1360/2505] lr: 5.0000e-04 eta: 22:29:28 time: 0.9063 data_time: 0.0344 memory: 32703 grad_norm: 20.5170 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5756 loss: 1.5756 2022/07/30 07:57:54 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 07:58:00 - mmengine - INFO - Epoch(train) [26][1380/2505] lr: 5.0000e-04 eta: 22:29:09 time: 1.0392 data_time: 0.0294 memory: 32703 grad_norm: 19.2722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6382 loss: 1.6382 2022/07/30 07:58:19 - mmengine - INFO - Epoch(train) [26][1400/2505] lr: 5.0000e-04 eta: 22:28:48 time: 0.9444 data_time: 0.0325 memory: 32703 grad_norm: 19.0661 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3052 loss: 1.3052 2022/07/30 07:58:40 - mmengine - INFO - Epoch(train) [26][1420/2505] lr: 5.0000e-04 eta: 22:28:30 time: 1.0620 data_time: 0.0608 memory: 32703 grad_norm: 19.1810 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3101 loss: 1.3101 2022/07/30 07:58:59 - mmengine - INFO - Epoch(train) [26][1440/2505] lr: 5.0000e-04 eta: 22:28:09 time: 0.9410 data_time: 0.0805 memory: 32703 grad_norm: 19.3679 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3637 loss: 1.3637 2022/07/30 07:59:20 - mmengine - INFO - Epoch(train) [26][1460/2505] lr: 5.0000e-04 eta: 22:27:51 time: 1.0676 data_time: 0.0288 memory: 32703 grad_norm: 19.5476 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5358 loss: 1.5358 2022/07/30 07:59:38 - mmengine - INFO - Epoch(train) [26][1480/2505] lr: 5.0000e-04 eta: 22:27:28 time: 0.8936 data_time: 0.0320 memory: 32703 grad_norm: 18.9781 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6824 loss: 1.6824 2022/07/30 07:59:58 - mmengine - INFO - Epoch(train) [26][1500/2505] lr: 5.0000e-04 eta: 22:27:08 time: 0.9868 data_time: 0.0395 memory: 32703 grad_norm: 19.1590 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4240 loss: 1.4240 2022/07/30 08:00:17 - mmengine - INFO - Epoch(train) [26][1520/2505] lr: 5.0000e-04 eta: 22:26:47 time: 0.9459 data_time: 0.1027 memory: 32703 grad_norm: 19.2701 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4863 loss: 1.4863 2022/07/30 08:00:38 - mmengine - INFO - Epoch(train) [26][1540/2505] lr: 5.0000e-04 eta: 22:26:28 time: 1.0568 data_time: 0.1554 memory: 32703 grad_norm: 18.6355 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4454 loss: 1.4454 2022/07/30 08:00:57 - mmengine - INFO - Epoch(train) [26][1560/2505] lr: 5.0000e-04 eta: 22:26:07 time: 0.9479 data_time: 0.0868 memory: 32703 grad_norm: 19.4193 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4444 loss: 1.4444 2022/07/30 08:01:18 - mmengine - INFO - Epoch(train) [26][1580/2505] lr: 5.0000e-04 eta: 22:25:49 time: 1.0733 data_time: 0.0280 memory: 32703 grad_norm: 18.9641 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5306 loss: 1.5306 2022/07/30 08:01:37 - mmengine - INFO - Epoch(train) [26][1600/2505] lr: 5.0000e-04 eta: 22:25:28 time: 0.9418 data_time: 0.0557 memory: 32703 grad_norm: 19.3661 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3264 loss: 1.3264 2022/07/30 08:01:58 - mmengine - INFO - Epoch(train) [26][1620/2505] lr: 5.0000e-04 eta: 22:25:09 time: 1.0358 data_time: 0.0956 memory: 32703 grad_norm: 19.5747 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3515 loss: 1.3515 2022/07/30 08:02:16 - mmengine - INFO - Epoch(train) [26][1640/2505] lr: 5.0000e-04 eta: 22:24:46 time: 0.8870 data_time: 0.1082 memory: 32703 grad_norm: 18.5204 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3752 loss: 1.3752 2022/07/30 08:02:36 - mmengine - INFO - Epoch(train) [26][1660/2505] lr: 5.0000e-04 eta: 22:24:27 time: 1.0331 data_time: 0.2094 memory: 32703 grad_norm: 18.8785 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5839 loss: 1.5839 2022/07/30 08:02:55 - mmengine - INFO - Epoch(train) [26][1680/2505] lr: 5.0000e-04 eta: 22:24:06 time: 0.9184 data_time: 0.1117 memory: 32703 grad_norm: 19.0815 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6249 loss: 1.6249 2022/07/30 08:03:15 - mmengine - INFO - Epoch(train) [26][1700/2505] lr: 5.0000e-04 eta: 22:23:47 time: 1.0352 data_time: 0.1812 memory: 32703 grad_norm: 19.1310 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3375 loss: 1.3375 2022/07/30 08:03:33 - mmengine - INFO - Epoch(train) [26][1720/2505] lr: 5.0000e-04 eta: 22:23:24 time: 0.8964 data_time: 0.1565 memory: 32703 grad_norm: 19.4799 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2035 loss: 1.2035 2022/07/30 08:03:55 - mmengine - INFO - Epoch(train) [26][1740/2505] lr: 5.0000e-04 eta: 22:23:06 time: 1.0713 data_time: 0.2864 memory: 32703 grad_norm: 19.3704 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2742 loss: 1.2742 2022/07/30 08:04:13 - mmengine - INFO - Epoch(train) [26][1760/2505] lr: 5.0000e-04 eta: 22:22:44 time: 0.9228 data_time: 0.1586 memory: 32703 grad_norm: 19.5866 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3010 loss: 1.3010 2022/07/30 08:04:35 - mmengine - INFO - Epoch(train) [26][1780/2505] lr: 5.0000e-04 eta: 22:22:27 time: 1.0806 data_time: 0.2868 memory: 32703 grad_norm: 19.3775 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4357 loss: 1.4357 2022/07/30 08:04:53 - mmengine - INFO - Epoch(train) [26][1800/2505] lr: 5.0000e-04 eta: 22:22:04 time: 0.8799 data_time: 0.1467 memory: 32703 grad_norm: 18.9036 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3769 loss: 1.3769 2022/07/30 08:05:15 - mmengine - INFO - Epoch(train) [26][1820/2505] lr: 5.0000e-04 eta: 22:21:47 time: 1.1011 data_time: 0.2908 memory: 32703 grad_norm: 20.2720 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3508 loss: 1.3508 2022/07/30 08:05:33 - mmengine - INFO - Epoch(train) [26][1840/2505] lr: 5.0000e-04 eta: 22:21:25 time: 0.9186 data_time: 0.1354 memory: 32703 grad_norm: 18.9342 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5097 loss: 1.5097 2022/07/30 08:05:55 - mmengine - INFO - Epoch(train) [26][1860/2505] lr: 5.0000e-04 eta: 22:21:08 time: 1.1038 data_time: 0.1497 memory: 32703 grad_norm: 21.7615 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2911 loss: 1.2911 2022/07/30 08:06:13 - mmengine - INFO - Epoch(train) [26][1880/2505] lr: 5.0000e-04 eta: 22:20:45 time: 0.9109 data_time: 0.0290 memory: 32703 grad_norm: 19.3789 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2051 loss: 1.2051 2022/07/30 08:06:35 - mmengine - INFO - Epoch(train) [26][1900/2505] lr: 5.0000e-04 eta: 22:20:28 time: 1.1001 data_time: 0.0337 memory: 32703 grad_norm: 19.3195 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5527 loss: 1.5527 2022/07/30 08:06:53 - mmengine - INFO - Epoch(train) [26][1920/2505] lr: 5.0000e-04 eta: 22:20:06 time: 0.9106 data_time: 0.0312 memory: 32703 grad_norm: 19.9704 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5147 loss: 1.5147 2022/07/30 08:07:13 - mmengine - INFO - Epoch(train) [26][1940/2505] lr: 5.0000e-04 eta: 22:19:46 time: 0.9720 data_time: 0.0292 memory: 32703 grad_norm: 20.5294 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.2708 loss: 1.2708 2022/07/30 08:07:32 - mmengine - INFO - Epoch(train) [26][1960/2505] lr: 5.0000e-04 eta: 22:19:25 time: 0.9740 data_time: 0.0311 memory: 32703 grad_norm: 19.5083 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4335 loss: 1.4335 2022/07/30 08:07:52 - mmengine - INFO - Epoch(train) [26][1980/2505] lr: 5.0000e-04 eta: 22:19:05 time: 0.9737 data_time: 0.0309 memory: 32703 grad_norm: 19.7055 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6698 loss: 1.6698 2022/07/30 08:08:11 - mmengine - INFO - Epoch(train) [26][2000/2505] lr: 5.0000e-04 eta: 22:18:44 time: 0.9743 data_time: 0.0310 memory: 32703 grad_norm: 19.8587 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4759 loss: 1.4759 2022/07/30 08:08:30 - mmengine - INFO - Epoch(train) [26][2020/2505] lr: 5.0000e-04 eta: 22:18:23 time: 0.9566 data_time: 0.0271 memory: 32703 grad_norm: 19.3090 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2695 loss: 1.2695 2022/07/30 08:08:52 - mmengine - INFO - Epoch(train) [26][2040/2505] lr: 5.0000e-04 eta: 22:18:05 time: 1.0520 data_time: 0.0286 memory: 32703 grad_norm: 19.7720 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4959 loss: 1.4959 2022/07/30 08:09:11 - mmengine - INFO - Epoch(train) [26][2060/2505] lr: 5.0000e-04 eta: 22:17:44 time: 0.9718 data_time: 0.0301 memory: 32703 grad_norm: 18.7554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3797 loss: 1.3797 2022/07/30 08:09:30 - mmengine - INFO - Epoch(train) [26][2080/2505] lr: 5.0000e-04 eta: 22:17:24 time: 0.9684 data_time: 0.0276 memory: 32703 grad_norm: 19.5678 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2728 loss: 1.2728 2022/07/30 08:09:49 - mmengine - INFO - Epoch(train) [26][2100/2505] lr: 5.0000e-04 eta: 22:17:03 time: 0.9563 data_time: 0.0287 memory: 32703 grad_norm: 18.8022 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3125 loss: 1.3125 2022/07/30 08:10:10 - mmengine - INFO - Epoch(train) [26][2120/2505] lr: 5.0000e-04 eta: 22:16:44 time: 1.0313 data_time: 0.0298 memory: 32703 grad_norm: 19.7037 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3951 loss: 1.3951 2022/07/30 08:10:29 - mmengine - INFO - Epoch(train) [26][2140/2505] lr: 5.0000e-04 eta: 22:16:22 time: 0.9359 data_time: 0.0297 memory: 32703 grad_norm: 20.0767 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.2206 loss: 1.2206 2022/07/30 08:10:50 - mmengine - INFO - Epoch(train) [26][2160/2505] lr: 5.0000e-04 eta: 22:16:04 time: 1.0406 data_time: 0.0277 memory: 32703 grad_norm: 18.9956 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4944 loss: 1.4944 2022/07/30 08:11:08 - mmengine - INFO - Epoch(train) [26][2180/2505] lr: 5.0000e-04 eta: 22:15:42 time: 0.9244 data_time: 0.0305 memory: 32703 grad_norm: 18.2063 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4312 loss: 1.4312 2022/07/30 08:11:30 - mmengine - INFO - Epoch(train) [26][2200/2505] lr: 5.0000e-04 eta: 22:15:24 time: 1.0698 data_time: 0.0283 memory: 32703 grad_norm: 19.4148 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3413 loss: 1.3413 2022/07/30 08:11:49 - mmengine - INFO - Epoch(train) [26][2220/2505] lr: 5.0000e-04 eta: 22:15:03 time: 0.9739 data_time: 0.0261 memory: 32703 grad_norm: 19.5479 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3577 loss: 1.3577 2022/07/30 08:12:10 - mmengine - INFO - Epoch(train) [26][2240/2505] lr: 5.0000e-04 eta: 22:14:44 time: 1.0273 data_time: 0.0295 memory: 32703 grad_norm: 19.1204 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3007 loss: 1.3007 2022/07/30 08:12:27 - mmengine - INFO - Epoch(train) [26][2260/2505] lr: 5.0000e-04 eta: 22:14:22 time: 0.8854 data_time: 0.0285 memory: 32703 grad_norm: 20.0469 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2982 loss: 1.2982 2022/07/30 08:12:48 - mmengine - INFO - Epoch(train) [26][2280/2505] lr: 5.0000e-04 eta: 22:14:03 time: 1.0518 data_time: 0.0295 memory: 32703 grad_norm: 18.2083 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3007 loss: 1.3007 2022/07/30 08:13:06 - mmengine - INFO - Epoch(train) [26][2300/2505] lr: 5.0000e-04 eta: 22:13:41 time: 0.9084 data_time: 0.0277 memory: 32703 grad_norm: 19.2615 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4040 loss: 1.4040 2022/07/30 08:13:28 - mmengine - INFO - Epoch(train) [26][2320/2505] lr: 5.0000e-04 eta: 22:13:22 time: 1.0521 data_time: 0.0278 memory: 32703 grad_norm: 19.1791 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2833 loss: 1.2833 2022/07/30 08:13:46 - mmengine - INFO - Epoch(train) [26][2340/2505] lr: 5.0000e-04 eta: 22:13:01 time: 0.9209 data_time: 0.0274 memory: 32703 grad_norm: 18.8161 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3903 loss: 1.3903 2022/07/30 08:14:05 - mmengine - INFO - Epoch(train) [26][2360/2505] lr: 5.0000e-04 eta: 22:12:40 time: 0.9675 data_time: 0.0262 memory: 32703 grad_norm: 19.8039 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1719 loss: 1.1719 2022/07/30 08:14:21 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 08:14:27 - mmengine - INFO - Epoch(train) [26][2380/2505] lr: 5.0000e-04 eta: 22:12:22 time: 1.0695 data_time: 0.0305 memory: 32703 grad_norm: 20.2053 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3614 loss: 1.3614 2022/07/30 08:14:45 - mmengine - INFO - Epoch(train) [26][2400/2505] lr: 5.0000e-04 eta: 22:12:01 time: 0.9387 data_time: 0.0283 memory: 32703 grad_norm: 19.2312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4474 loss: 1.4474 2022/07/30 08:15:07 - mmengine - INFO - Epoch(train) [26][2420/2505] lr: 5.0000e-04 eta: 22:11:42 time: 1.0543 data_time: 0.0282 memory: 32703 grad_norm: 18.9467 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4695 loss: 1.4695 2022/07/30 08:15:25 - mmengine - INFO - Epoch(train) [26][2440/2505] lr: 5.0000e-04 eta: 22:11:21 time: 0.9437 data_time: 0.0275 memory: 32703 grad_norm: 20.0211 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2149 loss: 1.2149 2022/07/30 08:15:45 - mmengine - INFO - Epoch(train) [26][2460/2505] lr: 5.0000e-04 eta: 22:11:01 time: 0.9942 data_time: 0.0289 memory: 32703 grad_norm: 18.5984 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4069 loss: 1.4069 2022/07/30 08:16:04 - mmengine - INFO - Epoch(train) [26][2480/2505] lr: 5.0000e-04 eta: 22:10:40 time: 0.9318 data_time: 0.0295 memory: 32703 grad_norm: 19.4802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2572 loss: 1.2572 2022/07/30 08:16:22 - mmengine - INFO - Epoch(train) [26][2500/2505] lr: 5.0000e-04 eta: 22:10:17 time: 0.8900 data_time: 0.0271 memory: 32703 grad_norm: 19.8735 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5322 loss: 1.5322 2022/07/30 08:16:25 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 08:16:25 - mmengine - INFO - Epoch(train) [26][2505/2505] lr: 5.0000e-04 eta: 22:10:17 time: 0.7863 data_time: 0.0250 memory: 32703 grad_norm: 19.9153 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2083 loss: 1.2083 2022/07/30 08:16:25 - mmengine - INFO - Saving checkpoint at 26 epochs 2022/07/30 08:16:52 - mmengine - INFO - Epoch(train) [27][20/2505] lr: 5.0000e-04 eta: 22:09:53 time: 1.2826 data_time: 0.7028 memory: 32703 grad_norm: 19.7603 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4106 loss: 1.4106 2022/07/30 08:17:11 - mmengine - INFO - Epoch(train) [27][40/2505] lr: 5.0000e-04 eta: 22:09:31 time: 0.9107 data_time: 0.3143 memory: 32703 grad_norm: 19.6377 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3394 loss: 1.3394 2022/07/30 08:17:33 - mmengine - INFO - Epoch(train) [27][60/2505] lr: 5.0000e-04 eta: 22:09:14 time: 1.1108 data_time: 0.3510 memory: 32703 grad_norm: 20.2446 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4290 loss: 1.4290 2022/07/30 08:17:51 - mmengine - INFO - Epoch(train) [27][80/2505] lr: 5.0000e-04 eta: 22:08:52 time: 0.9002 data_time: 0.2552 memory: 32703 grad_norm: 18.1925 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4058 loss: 1.4058 2022/07/30 08:18:12 - mmengine - INFO - Epoch(train) [27][100/2505] lr: 5.0000e-04 eta: 22:08:33 time: 1.0410 data_time: 0.3430 memory: 32703 grad_norm: 19.4406 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5002 loss: 1.5002 2022/07/30 08:18:30 - mmengine - INFO - Epoch(train) [27][120/2505] lr: 5.0000e-04 eta: 22:08:11 time: 0.9071 data_time: 0.1667 memory: 32703 grad_norm: 19.6928 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5276 loss: 1.5276 2022/07/30 08:18:52 - mmengine - INFO - Epoch(train) [27][140/2505] lr: 5.0000e-04 eta: 22:07:54 time: 1.1028 data_time: 0.2220 memory: 32703 grad_norm: 19.3830 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4779 loss: 1.4779 2022/07/30 08:19:10 - mmengine - INFO - Epoch(train) [27][160/2505] lr: 5.0000e-04 eta: 22:07:31 time: 0.9045 data_time: 0.1171 memory: 32703 grad_norm: 19.5489 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4873 loss: 1.4873 2022/07/30 08:19:30 - mmengine - INFO - Epoch(train) [27][180/2505] lr: 5.0000e-04 eta: 22:07:12 time: 1.0091 data_time: 0.2218 memory: 32703 grad_norm: 19.5135 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2838 loss: 1.2838 2022/07/30 08:19:49 - mmengine - INFO - Epoch(train) [27][200/2505] lr: 5.0000e-04 eta: 22:06:51 time: 0.9394 data_time: 0.3395 memory: 32703 grad_norm: 19.4908 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4032 loss: 1.4032 2022/07/30 08:20:11 - mmengine - INFO - Epoch(train) [27][220/2505] lr: 5.0000e-04 eta: 22:06:33 time: 1.0770 data_time: 0.4644 memory: 32703 grad_norm: 19.6016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3391 loss: 1.3391 2022/07/30 08:20:28 - mmengine - INFO - Epoch(train) [27][240/2505] lr: 5.0000e-04 eta: 22:06:10 time: 0.8914 data_time: 0.3136 memory: 32703 grad_norm: 19.4802 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1965 loss: 1.1965 2022/07/30 08:20:50 - mmengine - INFO - Epoch(train) [27][260/2505] lr: 5.0000e-04 eta: 22:05:52 time: 1.0653 data_time: 0.4809 memory: 32703 grad_norm: 19.2042 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.3929 loss: 1.3929 2022/07/30 08:21:08 - mmengine - INFO - Epoch(train) [27][280/2505] lr: 5.0000e-04 eta: 22:05:30 time: 0.9003 data_time: 0.3218 memory: 32703 grad_norm: 18.5456 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3289 loss: 1.3289 2022/07/30 08:21:30 - mmengine - INFO - Epoch(train) [27][300/2505] lr: 5.0000e-04 eta: 22:05:13 time: 1.1171 data_time: 0.5233 memory: 32703 grad_norm: 19.7904 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3966 loss: 1.3966 2022/07/30 08:21:48 - mmengine - INFO - Epoch(train) [27][320/2505] lr: 5.0000e-04 eta: 22:04:51 time: 0.9135 data_time: 0.2883 memory: 32703 grad_norm: 18.9354 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3372 loss: 1.3372 2022/07/30 08:22:10 - mmengine - INFO - Epoch(train) [27][340/2505] lr: 5.0000e-04 eta: 22:04:32 time: 1.0582 data_time: 0.3242 memory: 32703 grad_norm: 19.7385 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3594 loss: 1.3594 2022/07/30 08:22:28 - mmengine - INFO - Epoch(train) [27][360/2505] lr: 5.0000e-04 eta: 22:04:11 time: 0.9325 data_time: 0.1782 memory: 32703 grad_norm: 19.6880 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3281 loss: 1.3281 2022/07/30 08:22:49 - mmengine - INFO - Epoch(train) [27][380/2505] lr: 5.0000e-04 eta: 22:03:52 time: 1.0406 data_time: 0.0821 memory: 32703 grad_norm: 19.8628 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2682 loss: 1.2682 2022/07/30 08:23:08 - mmengine - INFO - Epoch(train) [27][400/2505] lr: 5.0000e-04 eta: 22:03:31 time: 0.9286 data_time: 0.0268 memory: 32703 grad_norm: 18.9106 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1391 loss: 1.1391 2022/07/30 08:23:29 - mmengine - INFO - Epoch(train) [27][420/2505] lr: 5.0000e-04 eta: 22:03:12 time: 1.0593 data_time: 0.0287 memory: 32703 grad_norm: 18.9057 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2259 loss: 1.2259 2022/07/30 08:23:48 - mmengine - INFO - Epoch(train) [27][440/2505] lr: 5.0000e-04 eta: 22:02:51 time: 0.9550 data_time: 0.0259 memory: 32703 grad_norm: 19.8392 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4174 loss: 1.4174 2022/07/30 08:24:10 - mmengine - INFO - Epoch(train) [27][460/2505] lr: 5.0000e-04 eta: 22:02:34 time: 1.0838 data_time: 0.0288 memory: 32703 grad_norm: 19.2671 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2969 loss: 1.2969 2022/07/30 08:24:26 - mmengine - INFO - Epoch(train) [27][480/2505] lr: 5.0000e-04 eta: 22:02:10 time: 0.8390 data_time: 0.0272 memory: 32703 grad_norm: 19.0345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4516 loss: 1.4516 2022/07/30 08:24:48 - mmengine - INFO - Epoch(train) [27][500/2505] lr: 5.0000e-04 eta: 22:01:52 time: 1.0648 data_time: 0.0274 memory: 32703 grad_norm: 20.7484 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6057 loss: 1.6057 2022/07/30 08:25:05 - mmengine - INFO - Epoch(train) [27][520/2505] lr: 5.0000e-04 eta: 22:01:29 time: 0.8645 data_time: 0.0277 memory: 32703 grad_norm: 19.1892 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4133 loss: 1.4133 2022/07/30 08:25:28 - mmengine - INFO - Epoch(train) [27][540/2505] lr: 5.0000e-04 eta: 22:01:12 time: 1.1288 data_time: 0.0290 memory: 32703 grad_norm: 19.6648 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3535 loss: 1.3535 2022/07/30 08:25:45 - mmengine - INFO - Epoch(train) [27][560/2505] lr: 5.0000e-04 eta: 22:00:49 time: 0.8821 data_time: 0.0271 memory: 32703 grad_norm: 19.7029 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4467 loss: 1.4467 2022/07/30 08:26:06 - mmengine - INFO - Epoch(train) [27][580/2505] lr: 5.0000e-04 eta: 22:00:31 time: 1.0556 data_time: 0.0306 memory: 32703 grad_norm: 19.9588 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3172 loss: 1.3172 2022/07/30 08:26:25 - mmengine - INFO - Epoch(train) [27][600/2505] lr: 5.0000e-04 eta: 22:00:09 time: 0.9274 data_time: 0.0257 memory: 32703 grad_norm: 19.3107 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3404 loss: 1.3404 2022/07/30 08:26:46 - mmengine - INFO - Epoch(train) [27][620/2505] lr: 5.0000e-04 eta: 21:59:50 time: 1.0404 data_time: 0.0301 memory: 32703 grad_norm: 19.4160 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.3362 loss: 1.3362 2022/07/30 08:27:03 - mmengine - INFO - Epoch(train) [27][640/2505] lr: 5.0000e-04 eta: 21:59:28 time: 0.8792 data_time: 0.0270 memory: 32703 grad_norm: 19.7117 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3970 loss: 1.3970 2022/07/30 08:27:25 - mmengine - INFO - Epoch(train) [27][660/2505] lr: 5.0000e-04 eta: 21:59:10 time: 1.1012 data_time: 0.0304 memory: 32703 grad_norm: 19.5632 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2996 loss: 1.2996 2022/07/30 08:27:42 - mmengine - INFO - Epoch(train) [27][680/2505] lr: 5.0000e-04 eta: 21:58:47 time: 0.8481 data_time: 0.0270 memory: 32703 grad_norm: 19.7497 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4677 loss: 1.4677 2022/07/30 08:28:05 - mmengine - INFO - Epoch(train) [27][700/2505] lr: 5.0000e-04 eta: 21:58:30 time: 1.1320 data_time: 0.0272 memory: 32703 grad_norm: 19.7935 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2200 loss: 1.2200 2022/07/30 08:28:22 - mmengine - INFO - Epoch(train) [27][720/2505] lr: 5.0000e-04 eta: 21:58:07 time: 0.8672 data_time: 0.0274 memory: 32703 grad_norm: 19.4061 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4863 loss: 1.4863 2022/07/30 08:28:42 - mmengine - INFO - Epoch(train) [27][740/2505] lr: 5.0000e-04 eta: 21:57:47 time: 0.9957 data_time: 0.0342 memory: 32703 grad_norm: 19.5992 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3885 loss: 1.3885 2022/07/30 08:29:01 - mmengine - INFO - Epoch(train) [27][760/2505] lr: 5.0000e-04 eta: 21:57:26 time: 0.9374 data_time: 0.0335 memory: 32703 grad_norm: 19.3684 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4934 loss: 1.4934 2022/07/30 08:29:21 - mmengine - INFO - Epoch(train) [27][780/2505] lr: 5.0000e-04 eta: 21:57:06 time: 1.0076 data_time: 0.0298 memory: 32703 grad_norm: 19.5148 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2842 loss: 1.2842 2022/07/30 08:29:40 - mmengine - INFO - Epoch(train) [27][800/2505] lr: 5.0000e-04 eta: 21:56:45 time: 0.9258 data_time: 0.0286 memory: 32703 grad_norm: 20.8120 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2860 loss: 1.2860 2022/07/30 08:30:01 - mmengine - INFO - Epoch(train) [27][820/2505] lr: 5.0000e-04 eta: 21:56:27 time: 1.0691 data_time: 0.1115 memory: 32703 grad_norm: 19.5006 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5190 loss: 1.5190 2022/07/30 08:30:20 - mmengine - INFO - Epoch(train) [27][840/2505] lr: 5.0000e-04 eta: 21:56:06 time: 0.9635 data_time: 0.0946 memory: 32703 grad_norm: 19.7673 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3705 loss: 1.3705 2022/07/30 08:30:41 - mmengine - INFO - Epoch(train) [27][860/2505] lr: 5.0000e-04 eta: 21:55:48 time: 1.0608 data_time: 0.1864 memory: 32703 grad_norm: 19.1557 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5110 loss: 1.5110 2022/07/30 08:30:51 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 08:30:59 - mmengine - INFO - Epoch(train) [27][880/2505] lr: 5.0000e-04 eta: 21:55:25 time: 0.9004 data_time: 0.0916 memory: 32703 grad_norm: 19.8644 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4657 loss: 1.4657 2022/07/30 08:31:21 - mmengine - INFO - Epoch(train) [27][900/2505] lr: 5.0000e-04 eta: 21:55:07 time: 1.0765 data_time: 0.0999 memory: 32703 grad_norm: 19.5861 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2905 loss: 1.2905 2022/07/30 08:31:40 - mmengine - INFO - Epoch(train) [27][920/2505] lr: 5.0000e-04 eta: 21:54:46 time: 0.9262 data_time: 0.1013 memory: 32703 grad_norm: 20.1759 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5552 loss: 1.5552 2022/07/30 08:32:01 - mmengine - INFO - Epoch(train) [27][940/2505] lr: 5.0000e-04 eta: 21:54:28 time: 1.0856 data_time: 0.2310 memory: 32703 grad_norm: 19.5362 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4639 loss: 1.4639 2022/07/30 08:32:20 - mmengine - INFO - Epoch(train) [27][960/2505] lr: 5.0000e-04 eta: 21:54:07 time: 0.9289 data_time: 0.1777 memory: 32703 grad_norm: 19.5388 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4461 loss: 1.4461 2022/07/30 08:32:40 - mmengine - INFO - Epoch(train) [27][980/2505] lr: 5.0000e-04 eta: 21:53:47 time: 1.0165 data_time: 0.2515 memory: 32703 grad_norm: 18.8025 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3233 loss: 1.3233 2022/07/30 08:32:58 - mmengine - INFO - Epoch(train) [27][1000/2505] lr: 5.0000e-04 eta: 21:53:25 time: 0.8909 data_time: 0.1434 memory: 32703 grad_norm: 19.6800 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3139 loss: 1.3139 2022/07/30 08:33:19 - mmengine - INFO - Epoch(train) [27][1020/2505] lr: 5.0000e-04 eta: 21:53:06 time: 1.0362 data_time: 0.1663 memory: 32703 grad_norm: 18.8805 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3558 loss: 1.3558 2022/07/30 08:33:37 - mmengine - INFO - Epoch(train) [27][1040/2505] lr: 5.0000e-04 eta: 21:52:44 time: 0.9325 data_time: 0.1292 memory: 32703 grad_norm: 20.0215 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2284 loss: 1.2284 2022/07/30 08:33:59 - mmengine - INFO - Epoch(train) [27][1060/2505] lr: 5.0000e-04 eta: 21:52:26 time: 1.0770 data_time: 0.1488 memory: 32703 grad_norm: 18.2713 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4204 loss: 1.4204 2022/07/30 08:34:16 - mmengine - INFO - Epoch(train) [27][1080/2505] lr: 5.0000e-04 eta: 21:52:03 time: 0.8620 data_time: 0.0822 memory: 32703 grad_norm: 19.1301 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3627 loss: 1.3627 2022/07/30 08:34:38 - mmengine - INFO - Epoch(train) [27][1100/2505] lr: 5.0000e-04 eta: 21:51:46 time: 1.0929 data_time: 0.0282 memory: 32703 grad_norm: 19.1587 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4366 loss: 1.4366 2022/07/30 08:34:56 - mmengine - INFO - Epoch(train) [27][1120/2505] lr: 5.0000e-04 eta: 21:51:24 time: 0.8980 data_time: 0.0267 memory: 32703 grad_norm: 19.5639 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5445 loss: 1.5445 2022/07/30 08:35:18 - mmengine - INFO - Epoch(train) [27][1140/2505] lr: 5.0000e-04 eta: 21:51:06 time: 1.0871 data_time: 0.0292 memory: 32703 grad_norm: 19.5750 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3692 loss: 1.3692 2022/07/30 08:35:36 - mmengine - INFO - Epoch(train) [27][1160/2505] lr: 5.0000e-04 eta: 21:50:44 time: 0.9321 data_time: 0.0265 memory: 32703 grad_norm: 19.7314 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3513 loss: 1.3513 2022/07/30 08:35:57 - mmengine - INFO - Epoch(train) [27][1180/2505] lr: 5.0000e-04 eta: 21:50:26 time: 1.0470 data_time: 0.0310 memory: 32703 grad_norm: 19.6370 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4270 loss: 1.4270 2022/07/30 08:36:15 - mmengine - INFO - Epoch(train) [27][1200/2505] lr: 5.0000e-04 eta: 21:50:03 time: 0.8900 data_time: 0.0281 memory: 32703 grad_norm: 18.7918 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3806 loss: 1.3806 2022/07/30 08:36:37 - mmengine - INFO - Epoch(train) [27][1220/2505] lr: 5.0000e-04 eta: 21:49:46 time: 1.1071 data_time: 0.0328 memory: 32703 grad_norm: 19.0493 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5023 loss: 1.5023 2022/07/30 08:36:55 - mmengine - INFO - Epoch(train) [27][1240/2505] lr: 5.0000e-04 eta: 21:49:24 time: 0.8907 data_time: 0.0614 memory: 32703 grad_norm: 19.8463 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4145 loss: 1.4145 2022/07/30 08:37:17 - mmengine - INFO - Epoch(train) [27][1260/2505] lr: 5.0000e-04 eta: 21:49:06 time: 1.0767 data_time: 0.1221 memory: 32703 grad_norm: 19.6954 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4159 loss: 1.4159 2022/07/30 08:37:34 - mmengine - INFO - Epoch(train) [27][1280/2505] lr: 5.0000e-04 eta: 21:48:43 time: 0.8743 data_time: 0.1000 memory: 32703 grad_norm: 20.3241 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6072 loss: 1.6072 2022/07/30 08:37:57 - mmengine - INFO - Epoch(train) [27][1300/2505] lr: 5.0000e-04 eta: 21:48:26 time: 1.1350 data_time: 0.1750 memory: 32703 grad_norm: 19.1300 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3024 loss: 1.3024 2022/07/30 08:38:14 - mmengine - INFO - Epoch(train) [27][1320/2505] lr: 5.0000e-04 eta: 21:48:03 time: 0.8647 data_time: 0.1673 memory: 32703 grad_norm: 19.6170 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4191 loss: 1.4191 2022/07/30 08:38:36 - mmengine - INFO - Epoch(train) [27][1340/2505] lr: 5.0000e-04 eta: 21:47:46 time: 1.1080 data_time: 0.2591 memory: 32703 grad_norm: 18.9702 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3771 loss: 1.3771 2022/07/30 08:38:54 - mmengine - INFO - Epoch(train) [27][1360/2505] lr: 5.0000e-04 eta: 21:47:23 time: 0.8761 data_time: 0.2262 memory: 32703 grad_norm: 19.3076 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6317 loss: 1.6317 2022/07/30 08:39:16 - mmengine - INFO - Epoch(train) [27][1380/2505] lr: 5.0000e-04 eta: 21:47:06 time: 1.1251 data_time: 0.3107 memory: 32703 grad_norm: 18.8443 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2726 loss: 1.2726 2022/07/30 08:39:33 - mmengine - INFO - Epoch(train) [27][1400/2505] lr: 5.0000e-04 eta: 21:46:42 time: 0.8219 data_time: 0.1089 memory: 32703 grad_norm: 19.1500 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4002 loss: 1.4002 2022/07/30 08:39:55 - mmengine - INFO - Epoch(train) [27][1420/2505] lr: 5.0000e-04 eta: 21:46:25 time: 1.0989 data_time: 0.2065 memory: 32703 grad_norm: 19.4416 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4265 loss: 1.4265 2022/07/30 08:40:13 - mmengine - INFO - Epoch(train) [27][1440/2505] lr: 5.0000e-04 eta: 21:46:03 time: 0.9316 data_time: 0.2006 memory: 32703 grad_norm: 19.3214 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3515 loss: 1.3515 2022/07/30 08:40:35 - mmengine - INFO - Epoch(train) [27][1460/2505] lr: 5.0000e-04 eta: 21:45:45 time: 1.0531 data_time: 0.3137 memory: 32703 grad_norm: 19.0991 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3063 loss: 1.3063 2022/07/30 08:40:52 - mmengine - INFO - Epoch(train) [27][1480/2505] lr: 5.0000e-04 eta: 21:45:22 time: 0.8587 data_time: 0.1516 memory: 32703 grad_norm: 20.2311 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4053 loss: 1.4053 2022/07/30 08:41:13 - mmengine - INFO - Epoch(train) [27][1500/2505] lr: 5.0000e-04 eta: 21:45:03 time: 1.0407 data_time: 0.1796 memory: 32703 grad_norm: 19.1013 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4531 loss: 1.4531 2022/07/30 08:41:31 - mmengine - INFO - Epoch(train) [27][1520/2505] lr: 5.0000e-04 eta: 21:44:41 time: 0.9151 data_time: 0.0903 memory: 32703 grad_norm: 19.1738 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2258 loss: 1.2258 2022/07/30 08:41:52 - mmengine - INFO - Epoch(train) [27][1540/2505] lr: 5.0000e-04 eta: 21:44:23 time: 1.0625 data_time: 0.0772 memory: 32703 grad_norm: 19.0589 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2672 loss: 1.2672 2022/07/30 08:42:11 - mmengine - INFO - Epoch(train) [27][1560/2505] lr: 5.0000e-04 eta: 21:44:01 time: 0.9284 data_time: 0.0867 memory: 32703 grad_norm: 19.6094 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3570 loss: 1.3570 2022/07/30 08:42:32 - mmengine - INFO - Epoch(train) [27][1580/2505] lr: 5.0000e-04 eta: 21:43:43 time: 1.0564 data_time: 0.1466 memory: 32703 grad_norm: 19.2266 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2706 loss: 1.2706 2022/07/30 08:42:50 - mmengine - INFO - Epoch(train) [27][1600/2505] lr: 5.0000e-04 eta: 21:43:21 time: 0.9152 data_time: 0.1208 memory: 32703 grad_norm: 20.2116 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3968 loss: 1.3968 2022/07/30 08:43:12 - mmengine - INFO - Epoch(train) [27][1620/2505] lr: 5.0000e-04 eta: 21:43:03 time: 1.0824 data_time: 0.3446 memory: 32703 grad_norm: 18.4763 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4967 loss: 1.4967 2022/07/30 08:43:30 - mmengine - INFO - Epoch(train) [27][1640/2505] lr: 5.0000e-04 eta: 21:42:41 time: 0.9034 data_time: 0.2039 memory: 32703 grad_norm: 19.3088 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3221 loss: 1.3221 2022/07/30 08:43:51 - mmengine - INFO - Epoch(train) [27][1660/2505] lr: 5.0000e-04 eta: 21:42:23 time: 1.0530 data_time: 0.2877 memory: 32703 grad_norm: 19.8070 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2505 loss: 1.2505 2022/07/30 08:44:09 - mmengine - INFO - Epoch(train) [27][1680/2505] lr: 5.0000e-04 eta: 21:42:01 time: 0.9233 data_time: 0.2975 memory: 32703 grad_norm: 19.4888 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5120 loss: 1.5120 2022/07/30 08:44:31 - mmengine - INFO - Epoch(train) [27][1700/2505] lr: 5.0000e-04 eta: 21:41:43 time: 1.0680 data_time: 0.4598 memory: 32703 grad_norm: 19.3653 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4248 loss: 1.4248 2022/07/30 08:44:49 - mmengine - INFO - Epoch(train) [27][1720/2505] lr: 5.0000e-04 eta: 21:41:21 time: 0.8994 data_time: 0.2937 memory: 32703 grad_norm: 20.1053 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4708 loss: 1.4708 2022/07/30 08:45:10 - mmengine - INFO - Epoch(train) [27][1740/2505] lr: 5.0000e-04 eta: 21:41:03 time: 1.0748 data_time: 0.4542 memory: 32703 grad_norm: 19.9050 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4635 loss: 1.4635 2022/07/30 08:45:28 - mmengine - INFO - Epoch(train) [27][1760/2505] lr: 5.0000e-04 eta: 21:40:40 time: 0.8973 data_time: 0.2885 memory: 32703 grad_norm: 18.7119 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2207 loss: 1.2207 2022/07/30 08:45:49 - mmengine - INFO - Epoch(train) [27][1780/2505] lr: 5.0000e-04 eta: 21:40:22 time: 1.0456 data_time: 0.4679 memory: 32703 grad_norm: 19.5965 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3995 loss: 1.3995 2022/07/30 08:46:07 - mmengine - INFO - Epoch(train) [27][1800/2505] lr: 5.0000e-04 eta: 21:39:59 time: 0.8752 data_time: 0.2890 memory: 32703 grad_norm: 20.2769 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5320 loss: 1.5320 2022/07/30 08:46:28 - mmengine - INFO - Epoch(train) [27][1820/2505] lr: 5.0000e-04 eta: 21:39:41 time: 1.0868 data_time: 0.4777 memory: 32703 grad_norm: 18.4798 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5068 loss: 1.5068 2022/07/30 08:46:47 - mmengine - INFO - Epoch(train) [27][1840/2505] lr: 5.0000e-04 eta: 21:39:20 time: 0.9345 data_time: 0.3518 memory: 32703 grad_norm: 19.1984 top1_acc: 0.3333 top5_acc: 0.3333 loss_cls: 1.6358 loss: 1.6358 2022/07/30 08:47:08 - mmengine - INFO - Epoch(train) [27][1860/2505] lr: 5.0000e-04 eta: 21:39:01 time: 1.0490 data_time: 0.4542 memory: 32703 grad_norm: 19.7982 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3931 loss: 1.3931 2022/07/30 08:47:17 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 08:47:26 - mmengine - INFO - Epoch(train) [27][1880/2505] lr: 5.0000e-04 eta: 21:38:39 time: 0.8814 data_time: 0.2868 memory: 32703 grad_norm: 19.5207 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4053 loss: 1.4053 2022/07/30 08:47:47 - mmengine - INFO - Epoch(train) [27][1900/2505] lr: 5.0000e-04 eta: 21:38:20 time: 1.0557 data_time: 0.4703 memory: 32703 grad_norm: 19.0506 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3038 loss: 1.3038 2022/07/30 08:48:05 - mmengine - INFO - Epoch(train) [27][1920/2505] lr: 5.0000e-04 eta: 21:37:58 time: 0.9176 data_time: 0.3333 memory: 32703 grad_norm: 18.8451 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2306 loss: 1.2306 2022/07/30 08:48:27 - mmengine - INFO - Epoch(train) [27][1940/2505] lr: 5.0000e-04 eta: 21:37:41 time: 1.0906 data_time: 0.4738 memory: 32703 grad_norm: 18.5882 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3330 loss: 1.3330 2022/07/30 08:48:44 - mmengine - INFO - Epoch(train) [27][1960/2505] lr: 5.0000e-04 eta: 21:37:18 time: 0.8655 data_time: 0.2748 memory: 32703 grad_norm: 19.4128 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.2076 loss: 1.2076 2022/07/30 08:49:05 - mmengine - INFO - Epoch(train) [27][1980/2505] lr: 5.0000e-04 eta: 21:36:59 time: 1.0363 data_time: 0.4297 memory: 32703 grad_norm: 20.1672 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4292 loss: 1.4292 2022/07/30 08:49:23 - mmengine - INFO - Epoch(train) [27][2000/2505] lr: 5.0000e-04 eta: 21:36:37 time: 0.9146 data_time: 0.3008 memory: 32703 grad_norm: 20.0644 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2650 loss: 1.2650 2022/07/30 08:49:44 - mmengine - INFO - Epoch(train) [27][2020/2505] lr: 5.0000e-04 eta: 21:36:18 time: 1.0511 data_time: 0.4421 memory: 32703 grad_norm: 20.0204 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4428 loss: 1.4428 2022/07/30 08:50:03 - mmengine - INFO - Epoch(train) [27][2040/2505] lr: 5.0000e-04 eta: 21:35:57 time: 0.9479 data_time: 0.2545 memory: 32703 grad_norm: 19.2366 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1728 loss: 1.1728 2022/07/30 08:50:25 - mmengine - INFO - Epoch(train) [27][2060/2505] lr: 5.0000e-04 eta: 21:35:39 time: 1.0776 data_time: 0.4679 memory: 32703 grad_norm: 19.3330 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2614 loss: 1.2614 2022/07/30 08:50:43 - mmengine - INFO - Epoch(train) [27][2080/2505] lr: 5.0000e-04 eta: 21:35:17 time: 0.9020 data_time: 0.3083 memory: 32703 grad_norm: 19.5602 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4333 loss: 1.4333 2022/07/30 08:51:04 - mmengine - INFO - Epoch(train) [27][2100/2505] lr: 5.0000e-04 eta: 21:34:59 time: 1.0552 data_time: 0.4465 memory: 32703 grad_norm: 18.7030 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2373 loss: 1.2373 2022/07/30 08:51:21 - mmengine - INFO - Epoch(train) [27][2120/2505] lr: 5.0000e-04 eta: 21:34:36 time: 0.8745 data_time: 0.2953 memory: 32703 grad_norm: 19.7926 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1836 loss: 1.1836 2022/07/30 08:51:43 - mmengine - INFO - Epoch(train) [27][2140/2505] lr: 5.0000e-04 eta: 21:34:18 time: 1.0644 data_time: 0.4047 memory: 32703 grad_norm: 19.2174 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2876 loss: 1.2876 2022/07/30 08:52:01 - mmengine - INFO - Epoch(train) [27][2160/2505] lr: 5.0000e-04 eta: 21:33:56 time: 0.9344 data_time: 0.2157 memory: 32703 grad_norm: 20.1279 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.2285 loss: 1.2285 2022/07/30 08:52:23 - mmengine - INFO - Epoch(train) [27][2180/2505] lr: 5.0000e-04 eta: 21:33:39 time: 1.0922 data_time: 0.1209 memory: 32703 grad_norm: 20.0868 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.5869 loss: 1.5869 2022/07/30 08:52:42 - mmengine - INFO - Epoch(train) [27][2200/2505] lr: 5.0000e-04 eta: 21:33:17 time: 0.9142 data_time: 0.0740 memory: 32703 grad_norm: 18.9220 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3743 loss: 1.3743 2022/07/30 08:53:02 - mmengine - INFO - Epoch(train) [27][2220/2505] lr: 5.0000e-04 eta: 21:32:58 time: 1.0323 data_time: 0.0493 memory: 32703 grad_norm: 19.7628 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.3451 loss: 1.3451 2022/07/30 08:53:20 - mmengine - INFO - Epoch(train) [27][2240/2505] lr: 5.0000e-04 eta: 21:32:36 time: 0.9060 data_time: 0.0300 memory: 32703 grad_norm: 18.7310 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3231 loss: 1.3231 2022/07/30 08:53:43 - mmengine - INFO - Epoch(train) [27][2260/2505] lr: 5.0000e-04 eta: 21:32:19 time: 1.1148 data_time: 0.0305 memory: 32703 grad_norm: 18.9219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4404 loss: 1.4404 2022/07/30 08:54:00 - mmengine - INFO - Epoch(train) [27][2280/2505] lr: 5.0000e-04 eta: 21:31:57 time: 0.8923 data_time: 0.0271 memory: 32703 grad_norm: 18.5410 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2252 loss: 1.2252 2022/07/30 08:54:21 - mmengine - INFO - Epoch(train) [27][2300/2505] lr: 5.0000e-04 eta: 21:31:37 time: 1.0302 data_time: 0.0291 memory: 32703 grad_norm: 19.7729 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3408 loss: 1.3408 2022/07/30 08:54:39 - mmengine - INFO - Epoch(train) [27][2320/2505] lr: 5.0000e-04 eta: 21:31:15 time: 0.8753 data_time: 0.0278 memory: 32703 grad_norm: 18.9392 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5989 loss: 1.5989 2022/07/30 08:54:59 - mmengine - INFO - Epoch(train) [27][2340/2505] lr: 5.0000e-04 eta: 21:30:56 time: 1.0431 data_time: 0.0333 memory: 32703 grad_norm: 18.9563 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2629 loss: 1.2629 2022/07/30 08:55:18 - mmengine - INFO - Epoch(train) [27][2360/2505] lr: 5.0000e-04 eta: 21:30:35 time: 0.9373 data_time: 0.0263 memory: 32703 grad_norm: 18.5801 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2632 loss: 1.2632 2022/07/30 08:55:40 - mmengine - INFO - Epoch(train) [27][2380/2505] lr: 5.0000e-04 eta: 21:30:17 time: 1.0794 data_time: 0.0277 memory: 32703 grad_norm: 19.2165 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4106 loss: 1.4106 2022/07/30 08:55:58 - mmengine - INFO - Epoch(train) [27][2400/2505] lr: 5.0000e-04 eta: 21:29:55 time: 0.9294 data_time: 0.0285 memory: 32703 grad_norm: 20.0795 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4408 loss: 1.4408 2022/07/30 08:56:20 - mmengine - INFO - Epoch(train) [27][2420/2505] lr: 5.0000e-04 eta: 21:29:37 time: 1.0584 data_time: 0.0297 memory: 32703 grad_norm: 19.2311 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5611 loss: 1.5611 2022/07/30 08:56:38 - mmengine - INFO - Epoch(train) [27][2440/2505] lr: 5.0000e-04 eta: 21:29:15 time: 0.9314 data_time: 0.0266 memory: 32703 grad_norm: 20.2566 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3763 loss: 1.3763 2022/07/30 08:56:59 - mmengine - INFO - Epoch(train) [27][2460/2505] lr: 5.0000e-04 eta: 21:28:56 time: 1.0359 data_time: 0.0287 memory: 32703 grad_norm: 19.3147 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5205 loss: 1.5205 2022/07/30 08:57:17 - mmengine - INFO - Epoch(train) [27][2480/2505] lr: 5.0000e-04 eta: 21:28:35 time: 0.9103 data_time: 0.0249 memory: 32703 grad_norm: 19.5853 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5870 loss: 1.5870 2022/07/30 08:57:35 - mmengine - INFO - Epoch(train) [27][2500/2505] lr: 5.0000e-04 eta: 21:28:12 time: 0.8708 data_time: 0.0288 memory: 32703 grad_norm: 20.2495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3890 loss: 1.3890 2022/07/30 08:57:37 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 08:57:37 - mmengine - INFO - Epoch(train) [27][2505/2505] lr: 5.0000e-04 eta: 21:28:12 time: 0.7291 data_time: 0.0203 memory: 32703 grad_norm: 19.7856 top1_acc: 0.1429 top5_acc: 0.8571 loss_cls: 1.4516 loss: 1.4516 2022/07/30 08:57:40 - mmengine - INFO - Epoch(val) [27][20/2475] eta: 0:04:37 time: 0.1128 data_time: 0.0810 memory: 817 2022/07/30 08:57:41 - mmengine - INFO - Epoch(val) [27][40/2475] eta: 0:02:52 time: 0.0708 data_time: 0.0394 memory: 817 2022/07/30 08:57:43 - mmengine - INFO - Epoch(val) [27][60/2475] eta: 0:03:35 time: 0.0892 data_time: 0.0560 memory: 817 2022/07/30 08:57:44 - mmengine - INFO - Epoch(val) [27][80/2475] eta: 0:02:54 time: 0.0729 data_time: 0.0408 memory: 817 2022/07/30 08:57:47 - mmengine - INFO - Epoch(val) [27][100/2475] eta: 0:04:33 time: 0.1153 data_time: 0.0852 memory: 817 2022/07/30 08:57:49 - mmengine - INFO - Epoch(val) [27][120/2475] eta: 0:03:27 time: 0.0881 data_time: 0.0579 memory: 817 2022/07/30 08:57:50 - mmengine - INFO - Epoch(val) [27][140/2475] eta: 0:02:55 time: 0.0751 data_time: 0.0434 memory: 817 2022/07/30 08:57:51 - mmengine - INFO - Epoch(val) [27][160/2475] eta: 0:02:46 time: 0.0720 data_time: 0.0403 memory: 817 2022/07/30 08:57:53 - mmengine - INFO - Epoch(val) [27][180/2475] eta: 0:03:24 time: 0.0889 data_time: 0.0563 memory: 817 2022/07/30 08:57:55 - mmengine - INFO - Epoch(val) [27][200/2475] eta: 0:02:41 time: 0.0708 data_time: 0.0393 memory: 817 2022/07/30 08:57:56 - mmengine - INFO - Epoch(val) [27][220/2475] eta: 0:02:50 time: 0.0754 data_time: 0.0442 memory: 817 2022/07/30 08:57:58 - mmengine - INFO - Epoch(val) [27][240/2475] eta: 0:02:52 time: 0.0770 data_time: 0.0446 memory: 817 2022/07/30 08:57:59 - mmengine - INFO - Epoch(val) [27][260/2475] eta: 0:02:50 time: 0.0769 data_time: 0.0439 memory: 817 2022/07/30 08:58:01 - mmengine - INFO - Epoch(val) [27][280/2475] eta: 0:02:44 time: 0.0750 data_time: 0.0444 memory: 817 2022/07/30 08:58:03 - mmengine - INFO - Epoch(val) [27][300/2475] eta: 0:03:13 time: 0.0891 data_time: 0.0583 memory: 817 2022/07/30 08:58:04 - mmengine - INFO - Epoch(val) [27][320/2475] eta: 0:02:18 time: 0.0643 data_time: 0.0326 memory: 817 2022/07/30 08:58:05 - mmengine - INFO - Epoch(val) [27][340/2475] eta: 0:02:49 time: 0.0796 data_time: 0.0474 memory: 817 2022/07/30 08:58:07 - mmengine - INFO - Epoch(val) [27][360/2475] eta: 0:02:41 time: 0.0764 data_time: 0.0446 memory: 817 2022/07/30 08:58:08 - mmengine - INFO - Epoch(val) [27][380/2475] eta: 0:02:27 time: 0.0705 data_time: 0.0403 memory: 817 2022/07/30 08:58:10 - mmengine - INFO - Epoch(val) [27][400/2475] eta: 0:03:00 time: 0.0872 data_time: 0.0547 memory: 817 2022/07/30 08:58:12 - mmengine - INFO - Epoch(val) [27][420/2475] eta: 0:02:49 time: 0.0823 data_time: 0.0511 memory: 817 2022/07/30 08:58:14 - mmengine - INFO - Epoch(val) [27][440/2475] eta: 0:03:14 time: 0.0957 data_time: 0.0651 memory: 817 2022/07/30 08:58:15 - mmengine - INFO - Epoch(val) [27][460/2475] eta: 0:02:30 time: 0.0747 data_time: 0.0424 memory: 817 2022/07/30 08:58:17 - mmengine - INFO - Epoch(val) [27][480/2475] eta: 0:02:27 time: 0.0740 data_time: 0.0433 memory: 817 2022/07/30 08:58:18 - mmengine - INFO - Epoch(val) [27][500/2475] eta: 0:02:38 time: 0.0803 data_time: 0.0469 memory: 817 2022/07/30 08:58:20 - mmengine - INFO - Epoch(val) [27][520/2475] eta: 0:02:16 time: 0.0699 data_time: 0.0387 memory: 817 2022/07/30 08:58:21 - mmengine - INFO - Epoch(val) [27][540/2475] eta: 0:02:55 time: 0.0907 data_time: 0.0593 memory: 817 2022/07/30 08:58:23 - mmengine - INFO - Epoch(val) [27][560/2475] eta: 0:02:19 time: 0.0730 data_time: 0.0407 memory: 817 2022/07/30 08:58:25 - mmengine - INFO - Epoch(val) [27][580/2475] eta: 0:02:33 time: 0.0812 data_time: 0.0499 memory: 817 2022/07/30 08:58:26 - mmengine - INFO - Epoch(val) [27][600/2475] eta: 0:02:30 time: 0.0802 data_time: 0.0476 memory: 817 2022/07/30 08:58:28 - mmengine - INFO - Epoch(val) [27][620/2475] eta: 0:02:45 time: 0.0895 data_time: 0.0567 memory: 817 2022/07/30 08:58:30 - mmengine - INFO - Epoch(val) [27][640/2475] eta: 0:02:23 time: 0.0783 data_time: 0.0470 memory: 817 2022/07/30 08:58:31 - mmengine - INFO - Epoch(val) [27][660/2475] eta: 0:02:37 time: 0.0866 data_time: 0.0550 memory: 817 2022/07/30 08:58:33 - mmengine - INFO - Epoch(val) [27][680/2475] eta: 0:02:09 time: 0.0723 data_time: 0.0416 memory: 817 2022/07/30 08:58:34 - mmengine - INFO - Epoch(val) [27][700/2475] eta: 0:02:29 time: 0.0845 data_time: 0.0525 memory: 817 2022/07/30 08:58:36 - mmengine - INFO - Epoch(val) [27][720/2475] eta: 0:02:04 time: 0.0711 data_time: 0.0389 memory: 817 2022/07/30 08:58:38 - mmengine - INFO - Epoch(val) [27][740/2475] eta: 0:02:36 time: 0.0900 data_time: 0.0497 memory: 817 2022/07/30 08:58:39 - mmengine - INFO - Epoch(val) [27][760/2475] eta: 0:02:07 time: 0.0745 data_time: 0.0428 memory: 817 2022/07/30 08:58:41 - mmengine - INFO - Epoch(val) [27][780/2475] eta: 0:02:15 time: 0.0799 data_time: 0.0489 memory: 817 2022/07/30 08:58:42 - mmengine - INFO - Epoch(val) [27][800/2475] eta: 0:02:11 time: 0.0786 data_time: 0.0466 memory: 817 2022/07/30 08:58:44 - mmengine - INFO - Epoch(val) [27][820/2475] eta: 0:02:21 time: 0.0854 data_time: 0.0542 memory: 817 2022/07/30 08:58:45 - mmengine - INFO - Epoch(val) [27][840/2475] eta: 0:01:49 time: 0.0668 data_time: 0.0357 memory: 817 2022/07/30 08:58:47 - mmengine - INFO - Epoch(val) [27][860/2475] eta: 0:02:18 time: 0.0858 data_time: 0.0545 memory: 817 2022/07/30 08:58:49 - mmengine - INFO - Epoch(val) [27][880/2475] eta: 0:02:28 time: 0.0932 data_time: 0.0617 memory: 817 2022/07/30 08:58:51 - mmengine - INFO - Epoch(val) [27][900/2475] eta: 0:02:28 time: 0.0944 data_time: 0.0621 memory: 817 2022/07/30 08:58:52 - mmengine - INFO - Epoch(val) [27][920/2475] eta: 0:01:58 time: 0.0760 data_time: 0.0444 memory: 817 2022/07/30 08:58:54 - mmengine - INFO - Epoch(val) [27][940/2475] eta: 0:02:13 time: 0.0872 data_time: 0.0552 memory: 817 2022/07/30 08:58:56 - mmengine - INFO - Epoch(val) [27][960/2475] eta: 0:01:49 time: 0.0722 data_time: 0.0401 memory: 817 2022/07/30 08:58:57 - mmengine - INFO - Epoch(val) [27][980/2475] eta: 0:02:18 time: 0.0926 data_time: 0.0551 memory: 817 2022/07/30 08:58:59 - mmengine - INFO - Epoch(val) [27][1000/2475] eta: 0:01:43 time: 0.0699 data_time: 0.0385 memory: 817 2022/07/30 08:59:01 - mmengine - INFO - Epoch(val) [27][1020/2475] eta: 0:02:17 time: 0.0946 data_time: 0.0641 memory: 817 2022/07/30 08:59:02 - mmengine - INFO - Epoch(val) [27][1040/2475] eta: 0:01:46 time: 0.0739 data_time: 0.0408 memory: 817 2022/07/30 08:59:04 - mmengine - INFO - Epoch(val) [27][1060/2475] eta: 0:01:57 time: 0.0829 data_time: 0.0510 memory: 817 2022/07/30 08:59:05 - mmengine - INFO - Epoch(val) [27][1080/2475] eta: 0:01:48 time: 0.0780 data_time: 0.0476 memory: 817 2022/07/30 08:59:07 - mmengine - INFO - Epoch(val) [27][1100/2475] eta: 0:01:48 time: 0.0789 data_time: 0.0462 memory: 817 2022/07/30 08:59:09 - mmengine - INFO - Epoch(val) [27][1120/2475] eta: 0:01:49 time: 0.0810 data_time: 0.0497 memory: 817 2022/07/30 08:59:10 - mmengine - INFO - Epoch(val) [27][1140/2475] eta: 0:01:42 time: 0.0765 data_time: 0.0454 memory: 817 2022/07/30 08:59:12 - mmengine - INFO - Epoch(val) [27][1160/2475] eta: 0:01:43 time: 0.0790 data_time: 0.0471 memory: 817 2022/07/30 08:59:14 - mmengine - INFO - Epoch(val) [27][1180/2475] eta: 0:02:06 time: 0.0974 data_time: 0.0665 memory: 817 2022/07/30 08:59:15 - mmengine - INFO - Epoch(val) [27][1200/2475] eta: 0:01:28 time: 0.0692 data_time: 0.0360 memory: 817 2022/07/30 08:59:17 - mmengine - INFO - Epoch(val) [27][1220/2475] eta: 0:01:35 time: 0.0762 data_time: 0.0443 memory: 817 2022/07/30 08:59:18 - mmengine - INFO - Epoch(val) [27][1240/2475] eta: 0:01:23 time: 0.0676 data_time: 0.0288 memory: 817 2022/07/30 08:59:20 - mmengine - INFO - Epoch(val) [27][1260/2475] eta: 0:01:49 time: 0.0899 data_time: 0.0590 memory: 817 2022/07/30 08:59:21 - mmengine - INFO - Epoch(val) [27][1280/2475] eta: 0:01:34 time: 0.0790 data_time: 0.0474 memory: 817 2022/07/30 08:59:23 - mmengine - INFO - Epoch(val) [27][1300/2475] eta: 0:01:49 time: 0.0936 data_time: 0.0630 memory: 817 2022/07/30 08:59:24 - mmengine - INFO - Epoch(val) [27][1320/2475] eta: 0:01:13 time: 0.0633 data_time: 0.0322 memory: 817 2022/07/30 08:59:26 - mmengine - INFO - Epoch(val) [27][1340/2475] eta: 0:01:40 time: 0.0882 data_time: 0.0577 memory: 817 2022/07/30 08:59:28 - mmengine - INFO - Epoch(val) [27][1360/2475] eta: 0:01:15 time: 0.0681 data_time: 0.0369 memory: 817 2022/07/30 08:59:30 - mmengine - INFO - Epoch(val) [27][1380/2475] eta: 0:01:46 time: 0.0976 data_time: 0.0670 memory: 817 2022/07/30 08:59:31 - mmengine - INFO - Epoch(val) [27][1400/2475] eta: 0:01:14 time: 0.0693 data_time: 0.0375 memory: 817 2022/07/30 08:59:33 - mmengine - INFO - Epoch(val) [27][1420/2475] eta: 0:01:44 time: 0.0986 data_time: 0.0682 memory: 817 2022/07/30 08:59:34 - mmengine - INFO - Epoch(val) [27][1440/2475] eta: 0:01:12 time: 0.0696 data_time: 0.0381 memory: 817 2022/07/30 08:59:36 - mmengine - INFO - Epoch(val) [27][1460/2475] eta: 0:01:34 time: 0.0931 data_time: 0.0595 memory: 817 2022/07/30 08:59:38 - mmengine - INFO - Epoch(val) [27][1480/2475] eta: 0:01:13 time: 0.0742 data_time: 0.0283 memory: 817 2022/07/30 08:59:39 - mmengine - INFO - Epoch(val) [27][1500/2475] eta: 0:01:18 time: 0.0805 data_time: 0.0472 memory: 817 2022/07/30 08:59:41 - mmengine - INFO - Epoch(val) [27][1520/2475] eta: 0:01:28 time: 0.0926 data_time: 0.0610 memory: 817 2022/07/30 08:59:43 - mmengine - INFO - Epoch(val) [27][1540/2475] eta: 0:01:23 time: 0.0889 data_time: 0.0580 memory: 817 2022/07/30 08:59:44 - mmengine - INFO - Epoch(val) [27][1560/2475] eta: 0:00:57 time: 0.0632 data_time: 0.0324 memory: 817 2022/07/30 08:59:46 - mmengine - INFO - Epoch(val) [27][1580/2475] eta: 0:01:13 time: 0.0816 data_time: 0.0476 memory: 817 2022/07/30 08:59:47 - mmengine - INFO - Epoch(val) [27][1600/2475] eta: 0:01:01 time: 0.0700 data_time: 0.0384 memory: 817 2022/07/30 08:59:49 - mmengine - INFO - Epoch(val) [27][1620/2475] eta: 0:01:13 time: 0.0860 data_time: 0.0536 memory: 817 2022/07/30 08:59:50 - mmengine - INFO - Epoch(val) [27][1640/2475] eta: 0:00:56 time: 0.0672 data_time: 0.0327 memory: 817 2022/07/30 08:59:52 - mmengine - INFO - Epoch(val) [27][1660/2475] eta: 0:01:21 time: 0.1006 data_time: 0.0699 memory: 817 2022/07/30 08:59:54 - mmengine - INFO - Epoch(val) [27][1680/2475] eta: 0:00:53 time: 0.0677 data_time: 0.0365 memory: 817 2022/07/30 08:59:56 - mmengine - INFO - Epoch(val) [27][1700/2475] eta: 0:01:11 time: 0.0921 data_time: 0.0611 memory: 817 2022/07/30 08:59:57 - mmengine - INFO - Epoch(val) [27][1720/2475] eta: 0:00:50 time: 0.0671 data_time: 0.0361 memory: 817 2022/07/30 08:59:59 - mmengine - INFO - Epoch(val) [27][1740/2475] eta: 0:01:03 time: 0.0863 data_time: 0.0545 memory: 817 2022/07/30 09:00:00 - mmengine - INFO - Epoch(val) [27][1760/2475] eta: 0:00:56 time: 0.0796 data_time: 0.0475 memory: 817 2022/07/30 09:00:02 - mmengine - INFO - Epoch(val) [27][1780/2475] eta: 0:01:03 time: 0.0920 data_time: 0.0607 memory: 817 2022/07/30 09:00:04 - mmengine - INFO - Epoch(val) [27][1800/2475] eta: 0:01:01 time: 0.0908 data_time: 0.0602 memory: 817 2022/07/30 09:00:06 - mmengine - INFO - Epoch(val) [27][1820/2475] eta: 0:01:00 time: 0.0927 data_time: 0.0616 memory: 817 2022/07/30 09:00:07 - mmengine - INFO - Epoch(val) [27][1840/2475] eta: 0:00:45 time: 0.0720 data_time: 0.0409 memory: 817 2022/07/30 09:00:09 - mmengine - INFO - Epoch(val) [27][1860/2475] eta: 0:01:00 time: 0.0977 data_time: 0.0664 memory: 817 2022/07/30 09:00:11 - mmengine - INFO - Epoch(val) [27][1880/2475] eta: 0:00:58 time: 0.0979 data_time: 0.0675 memory: 817 2022/07/30 09:00:12 - mmengine - INFO - Epoch(val) [27][1900/2475] eta: 0:00:35 time: 0.0615 data_time: 0.0304 memory: 817 2022/07/30 09:00:14 - mmengine - INFO - Epoch(val) [27][1920/2475] eta: 0:00:39 time: 0.0712 data_time: 0.0394 memory: 817 2022/07/30 09:00:15 - mmengine - INFO - Epoch(val) [27][1940/2475] eta: 0:00:41 time: 0.0767 data_time: 0.0458 memory: 817 2022/07/30 09:00:17 - mmengine - INFO - Epoch(val) [27][1960/2475] eta: 0:00:49 time: 0.0967 data_time: 0.0527 memory: 817 2022/07/30 09:00:18 - mmengine - INFO - Epoch(val) [27][1980/2475] eta: 0:00:29 time: 0.0603 data_time: 0.0239 memory: 817 2022/07/30 09:00:20 - mmengine - INFO - Epoch(val) [27][2000/2475] eta: 0:00:42 time: 0.0899 data_time: 0.0576 memory: 817 2022/07/30 09:00:22 - mmengine - INFO - Epoch(val) [27][2020/2475] eta: 0:00:31 time: 0.0700 data_time: 0.0383 memory: 817 2022/07/30 09:00:23 - mmengine - INFO - Epoch(val) [27][2040/2475] eta: 0:00:40 time: 0.0927 data_time: 0.0611 memory: 817 2022/07/30 09:00:25 - mmengine - INFO - Epoch(val) [27][2060/2475] eta: 0:00:31 time: 0.0751 data_time: 0.0427 memory: 817 2022/07/30 09:00:27 - mmengine - INFO - Epoch(val) [27][2080/2475] eta: 0:00:34 time: 0.0871 data_time: 0.0556 memory: 817 2022/07/30 09:00:28 - mmengine - INFO - Epoch(val) [27][2100/2475] eta: 0:00:26 time: 0.0706 data_time: 0.0389 memory: 817 2022/07/30 09:00:30 - mmengine - INFO - Epoch(val) [27][2120/2475] eta: 0:00:28 time: 0.0802 data_time: 0.0490 memory: 817 2022/07/30 09:00:31 - mmengine - INFO - Epoch(val) [27][2140/2475] eta: 0:00:25 time: 0.0767 data_time: 0.0455 memory: 817 2022/07/30 09:00:33 - mmengine - INFO - Epoch(val) [27][2160/2475] eta: 0:00:24 time: 0.0790 data_time: 0.0472 memory: 817 2022/07/30 09:00:34 - mmengine - INFO - Epoch(val) [27][2180/2475] eta: 0:00:23 time: 0.0807 data_time: 0.0487 memory: 817 2022/07/30 09:00:36 - mmengine - INFO - Epoch(val) [27][2200/2475] eta: 0:00:26 time: 0.0971 data_time: 0.0636 memory: 817 2022/07/30 09:00:38 - mmengine - INFO - Epoch(val) [27][2220/2475] eta: 0:00:18 time: 0.0727 data_time: 0.0292 memory: 817 2022/07/30 09:00:40 - mmengine - INFO - Epoch(val) [27][2240/2475] eta: 0:00:19 time: 0.0819 data_time: 0.0500 memory: 817 2022/07/30 09:00:41 - mmengine - INFO - Epoch(val) [27][2260/2475] eta: 0:00:17 time: 0.0820 data_time: 0.0509 memory: 817 2022/07/30 09:00:43 - mmengine - INFO - Epoch(val) [27][2280/2475] eta: 0:00:14 time: 0.0728 data_time: 0.0420 memory: 817 2022/07/30 09:00:44 - mmengine - INFO - Epoch(val) [27][2300/2475] eta: 0:00:13 time: 0.0779 data_time: 0.0477 memory: 817 2022/07/30 09:00:46 - mmengine - INFO - Epoch(val) [27][2320/2475] eta: 0:00:12 time: 0.0814 data_time: 0.0502 memory: 817 2022/07/30 09:00:47 - mmengine - INFO - Epoch(val) [27][2340/2475] eta: 0:00:10 time: 0.0798 data_time: 0.0478 memory: 817 2022/07/30 09:00:49 - mmengine - INFO - Epoch(val) [27][2360/2475] eta: 0:00:08 time: 0.0774 data_time: 0.0475 memory: 817 2022/07/30 09:00:51 - mmengine - INFO - Epoch(val) [27][2380/2475] eta: 0:00:08 time: 0.0924 data_time: 0.0614 memory: 817 2022/07/30 09:00:52 - mmengine - INFO - Epoch(val) [27][2400/2475] eta: 0:00:05 time: 0.0683 data_time: 0.0366 memory: 817 2022/07/30 09:00:54 - mmengine - INFO - Epoch(val) [27][2420/2475] eta: 0:00:05 time: 0.1001 data_time: 0.0678 memory: 817 2022/07/30 09:00:55 - mmengine - INFO - Epoch(val) [27][2440/2475] eta: 0:00:02 time: 0.0626 data_time: 0.0295 memory: 817 2022/07/30 09:00:58 - mmengine - INFO - Epoch(val) [27][2460/2475] eta: 0:00:01 time: 0.1124 data_time: 0.0648 memory: 817 2022/07/30 09:01:02 - mmengine - INFO - Epoch(val) [27][2475/2475] acc/top1: 0.7126 acc/top5: 0.8958 acc/mean1: 0.7126 2022/07/30 09:01:02 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_25.pth is removed 2022/07/30 09:01:05 - mmengine - INFO - The best checkpoint with 0.7126 acc/top1 at 28 epoch is saved to best_acc/top1_epoch_28.pth. 2022/07/30 09:01:32 - mmengine - INFO - Epoch(train) [28][20/2505] lr: 5.0000e-04 eta: 21:27:49 time: 1.3399 data_time: 0.7431 memory: 32703 grad_norm: 18.7976 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3207 loss: 1.3207 2022/07/30 09:01:50 - mmengine - INFO - Epoch(train) [28][40/2505] lr: 5.0000e-04 eta: 21:27:27 time: 0.8903 data_time: 0.3158 memory: 32703 grad_norm: 19.8014 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3298 loss: 1.3298 2022/07/30 09:02:11 - mmengine - INFO - Epoch(train) [28][60/2505] lr: 5.0000e-04 eta: 21:27:08 time: 1.0370 data_time: 0.4664 memory: 32703 grad_norm: 18.0637 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3132 loss: 1.3132 2022/07/30 09:02:30 - mmengine - INFO - Epoch(train) [28][80/2505] lr: 5.0000e-04 eta: 21:26:47 time: 0.9452 data_time: 0.3461 memory: 32703 grad_norm: 18.8201 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3169 loss: 1.3169 2022/07/30 09:02:49 - mmengine - INFO - Epoch(train) [28][100/2505] lr: 5.0000e-04 eta: 21:26:27 time: 0.9953 data_time: 0.4235 memory: 32703 grad_norm: 18.9854 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5131 loss: 1.5131 2022/07/30 09:03:07 - mmengine - INFO - Epoch(train) [28][120/2505] lr: 5.0000e-04 eta: 21:26:04 time: 0.8798 data_time: 0.3136 memory: 32703 grad_norm: 19.1666 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.4140 loss: 1.4140 2022/07/30 09:03:30 - mmengine - INFO - Epoch(train) [28][140/2505] lr: 5.0000e-04 eta: 21:25:47 time: 1.1247 data_time: 0.5167 memory: 32703 grad_norm: 20.0331 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5428 loss: 1.5428 2022/07/30 09:03:48 - mmengine - INFO - Epoch(train) [28][160/2505] lr: 5.0000e-04 eta: 21:25:25 time: 0.9044 data_time: 0.3365 memory: 32703 grad_norm: 19.0725 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3568 loss: 1.3568 2022/07/30 09:04:09 - mmengine - INFO - Epoch(train) [28][180/2505] lr: 5.0000e-04 eta: 21:25:07 time: 1.0660 data_time: 0.4716 memory: 32703 grad_norm: 19.7800 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5370 loss: 1.5370 2022/07/30 09:04:27 - mmengine - INFO - Epoch(train) [28][200/2505] lr: 5.0000e-04 eta: 21:24:45 time: 0.9142 data_time: 0.3537 memory: 32703 grad_norm: 19.0538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2145 loss: 1.2145 2022/07/30 09:04:48 - mmengine - INFO - Epoch(train) [28][220/2505] lr: 5.0000e-04 eta: 21:24:27 time: 1.0518 data_time: 0.4887 memory: 32703 grad_norm: 19.3224 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3894 loss: 1.3894 2022/07/30 09:05:08 - mmengine - INFO - Epoch(train) [28][240/2505] lr: 5.0000e-04 eta: 21:24:07 time: 1.0032 data_time: 0.3909 memory: 32703 grad_norm: 19.4274 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3340 loss: 1.3340 2022/07/30 09:05:28 - mmengine - INFO - Epoch(train) [28][260/2505] lr: 5.0000e-04 eta: 21:23:47 time: 0.9999 data_time: 0.3441 memory: 32703 grad_norm: 19.2893 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3244 loss: 1.3244 2022/07/30 09:05:47 - mmengine - INFO - Epoch(train) [28][280/2505] lr: 5.0000e-04 eta: 21:23:26 time: 0.9419 data_time: 0.2783 memory: 32703 grad_norm: 18.6747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5181 loss: 1.5181 2022/07/30 09:06:08 - mmengine - INFO - Epoch(train) [28][300/2505] lr: 5.0000e-04 eta: 21:23:07 time: 1.0303 data_time: 0.2712 memory: 32703 grad_norm: 20.1444 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5645 loss: 1.5645 2022/07/30 09:06:26 - mmengine - INFO - Epoch(train) [28][320/2505] lr: 5.0000e-04 eta: 21:22:45 time: 0.9038 data_time: 0.1876 memory: 32703 grad_norm: 19.0984 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.3387 loss: 1.3387 2022/07/30 09:06:48 - mmengine - INFO - Epoch(train) [28][340/2505] lr: 5.0000e-04 eta: 21:22:27 time: 1.0744 data_time: 0.3265 memory: 32703 grad_norm: 19.1644 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3774 loss: 1.3774 2022/07/30 09:07:05 - mmengine - INFO - Epoch(train) [28][360/2505] lr: 5.0000e-04 eta: 21:22:05 time: 0.8985 data_time: 0.2561 memory: 32703 grad_norm: 19.8425 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6065 loss: 1.6065 2022/07/30 09:07:12 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 09:07:27 - mmengine - INFO - Epoch(train) [28][380/2505] lr: 5.0000e-04 eta: 21:21:47 time: 1.0711 data_time: 0.4573 memory: 32703 grad_norm: 19.7354 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4402 loss: 1.4402 2022/07/30 09:07:45 - mmengine - INFO - Epoch(train) [28][400/2505] lr: 5.0000e-04 eta: 21:21:25 time: 0.9149 data_time: 0.2765 memory: 32703 grad_norm: 19.5014 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4313 loss: 1.4313 2022/07/30 09:08:06 - mmengine - INFO - Epoch(train) [28][420/2505] lr: 5.0000e-04 eta: 21:21:06 time: 1.0321 data_time: 0.3115 memory: 32703 grad_norm: 20.4392 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1665 loss: 1.1665 2022/07/30 09:08:25 - mmengine - INFO - Epoch(train) [28][440/2505] lr: 5.0000e-04 eta: 21:20:45 time: 0.9703 data_time: 0.3500 memory: 32703 grad_norm: 19.6160 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.3454 loss: 1.3454 2022/07/30 09:08:44 - mmengine - INFO - Epoch(train) [28][460/2505] lr: 5.0000e-04 eta: 21:20:25 time: 0.9612 data_time: 0.2618 memory: 32703 grad_norm: 20.3762 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5910 loss: 1.5910 2022/07/30 09:09:05 - mmengine - INFO - Epoch(train) [28][480/2505] lr: 5.0000e-04 eta: 21:20:06 time: 1.0488 data_time: 0.4064 memory: 32703 grad_norm: 19.3029 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4095 loss: 1.4095 2022/07/30 09:09:24 - mmengine - INFO - Epoch(train) [28][500/2505] lr: 5.0000e-04 eta: 21:19:44 time: 0.9219 data_time: 0.3224 memory: 32703 grad_norm: 19.2291 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6256 loss: 1.6256 2022/07/30 09:09:46 - mmengine - INFO - Epoch(train) [28][520/2505] lr: 5.0000e-04 eta: 21:19:27 time: 1.0959 data_time: 0.5048 memory: 32703 grad_norm: 19.6184 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2778 loss: 1.2778 2022/07/30 09:10:04 - mmengine - INFO - Epoch(train) [28][540/2505] lr: 5.0000e-04 eta: 21:19:05 time: 0.9297 data_time: 0.3227 memory: 32703 grad_norm: 19.4810 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2317 loss: 1.2317 2022/07/30 09:10:26 - mmengine - INFO - Epoch(train) [28][560/2505] lr: 5.0000e-04 eta: 21:18:47 time: 1.0551 data_time: 0.4509 memory: 32703 grad_norm: 19.9726 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.2797 loss: 1.2797 2022/07/30 09:10:44 - mmengine - INFO - Epoch(train) [28][580/2505] lr: 5.0000e-04 eta: 21:18:26 time: 0.9438 data_time: 0.3386 memory: 32703 grad_norm: 19.9710 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3079 loss: 1.3079 2022/07/30 09:11:05 - mmengine - INFO - Epoch(train) [28][600/2505] lr: 5.0000e-04 eta: 21:18:07 time: 1.0313 data_time: 0.4535 memory: 32703 grad_norm: 19.8497 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6531 loss: 1.6531 2022/07/30 09:11:23 - mmengine - INFO - Epoch(train) [28][620/2505] lr: 5.0000e-04 eta: 21:17:45 time: 0.9230 data_time: 0.3202 memory: 32703 grad_norm: 19.2230 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0533 loss: 1.0533 2022/07/30 09:11:44 - mmengine - INFO - Epoch(train) [28][640/2505] lr: 5.0000e-04 eta: 21:17:26 time: 1.0171 data_time: 0.4280 memory: 32703 grad_norm: 19.2931 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4448 loss: 1.4448 2022/07/30 09:12:03 - mmengine - INFO - Epoch(train) [28][660/2505] lr: 5.0000e-04 eta: 21:17:05 time: 0.9477 data_time: 0.3376 memory: 32703 grad_norm: 20.1373 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4986 loss: 1.4986 2022/07/30 09:12:23 - mmengine - INFO - Epoch(train) [28][680/2505] lr: 5.0000e-04 eta: 21:16:45 time: 1.0194 data_time: 0.4115 memory: 32703 grad_norm: 19.4531 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4569 loss: 1.4569 2022/07/30 09:12:41 - mmengine - INFO - Epoch(train) [28][700/2505] lr: 5.0000e-04 eta: 21:16:24 time: 0.9127 data_time: 0.3157 memory: 32703 grad_norm: 19.1467 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3609 loss: 1.3609 2022/07/30 09:13:02 - mmengine - INFO - Epoch(train) [28][720/2505] lr: 5.0000e-04 eta: 21:16:05 time: 1.0510 data_time: 0.4486 memory: 32703 grad_norm: 19.3480 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2447 loss: 1.2447 2022/07/30 09:13:21 - mmengine - INFO - Epoch(train) [28][740/2505] lr: 5.0000e-04 eta: 21:15:44 time: 0.9401 data_time: 0.3144 memory: 32703 grad_norm: 19.8059 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2273 loss: 1.2273 2022/07/30 09:13:42 - mmengine - INFO - Epoch(train) [28][760/2505] lr: 5.0000e-04 eta: 21:15:25 time: 1.0563 data_time: 0.4221 memory: 32703 grad_norm: 19.4764 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.2707 loss: 1.2707 2022/07/30 09:14:01 - mmengine - INFO - Epoch(train) [28][780/2505] lr: 5.0000e-04 eta: 21:15:05 time: 0.9554 data_time: 0.3213 memory: 32703 grad_norm: 18.9192 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3948 loss: 1.3948 2022/07/30 09:14:22 - mmengine - INFO - Epoch(train) [28][800/2505] lr: 5.0000e-04 eta: 21:14:46 time: 1.0498 data_time: 0.4422 memory: 32703 grad_norm: 19.7460 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3961 loss: 1.3961 2022/07/30 09:14:40 - mmengine - INFO - Epoch(train) [28][820/2505] lr: 5.0000e-04 eta: 21:14:23 time: 0.8644 data_time: 0.2566 memory: 32703 grad_norm: 19.6380 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5610 loss: 1.5610 2022/07/30 09:15:02 - mmengine - INFO - Epoch(train) [28][840/2505] lr: 5.0000e-04 eta: 21:14:05 time: 1.0968 data_time: 0.4879 memory: 32703 grad_norm: 20.0046 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2687 loss: 1.2687 2022/07/30 09:15:20 - mmengine - INFO - Epoch(train) [28][860/2505] lr: 5.0000e-04 eta: 21:13:44 time: 0.9361 data_time: 0.3278 memory: 32703 grad_norm: 19.4669 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2756 loss: 1.2756 2022/07/30 09:15:42 - mmengine - INFO - Epoch(train) [28][880/2505] lr: 5.0000e-04 eta: 21:13:26 time: 1.0866 data_time: 0.4716 memory: 32703 grad_norm: 20.9481 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2416 loss: 1.2416 2022/07/30 09:16:00 - mmengine - INFO - Epoch(train) [28][900/2505] lr: 5.0000e-04 eta: 21:13:04 time: 0.8813 data_time: 0.2742 memory: 32703 grad_norm: 19.5701 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3188 loss: 1.3188 2022/07/30 09:16:22 - mmengine - INFO - Epoch(train) [28][920/2505] lr: 5.0000e-04 eta: 21:12:46 time: 1.0945 data_time: 0.4787 memory: 32703 grad_norm: 19.0588 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6057 loss: 1.6057 2022/07/30 09:16:39 - mmengine - INFO - Epoch(train) [28][940/2505] lr: 5.0000e-04 eta: 21:12:23 time: 0.8586 data_time: 0.2716 memory: 32703 grad_norm: 18.6792 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3225 loss: 1.3225 2022/07/30 09:17:00 - mmengine - INFO - Epoch(train) [28][960/2505] lr: 5.0000e-04 eta: 21:12:04 time: 1.0397 data_time: 0.4342 memory: 32703 grad_norm: 20.3128 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6588 loss: 1.6588 2022/07/30 09:17:17 - mmengine - INFO - Epoch(train) [28][980/2505] lr: 5.0000e-04 eta: 21:11:42 time: 0.8648 data_time: 0.2657 memory: 32703 grad_norm: 19.9861 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4382 loss: 1.4382 2022/07/30 09:17:38 - mmengine - INFO - Epoch(train) [28][1000/2505] lr: 5.0000e-04 eta: 21:11:23 time: 1.0485 data_time: 0.4637 memory: 32703 grad_norm: 19.4586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6541 loss: 1.6541 2022/07/30 09:17:57 - mmengine - INFO - Epoch(train) [28][1020/2505] lr: 5.0000e-04 eta: 21:11:02 time: 0.9483 data_time: 0.3460 memory: 32703 grad_norm: 18.8344 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1678 loss: 1.1678 2022/07/30 09:18:18 - mmengine - INFO - Epoch(train) [28][1040/2505] lr: 5.0000e-04 eta: 21:10:44 time: 1.0756 data_time: 0.4791 memory: 32703 grad_norm: 20.0669 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.2273 loss: 1.2273 2022/07/30 09:18:36 - mmengine - INFO - Epoch(train) [28][1060/2505] lr: 5.0000e-04 eta: 21:10:22 time: 0.8938 data_time: 0.2898 memory: 32703 grad_norm: 18.6982 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2276 loss: 1.2276 2022/07/30 09:18:58 - mmengine - INFO - Epoch(train) [28][1080/2505] lr: 5.0000e-04 eta: 21:10:03 time: 1.0569 data_time: 0.4491 memory: 32703 grad_norm: 19.0754 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3943 loss: 1.3943 2022/07/30 09:19:16 - mmengine - INFO - Epoch(train) [28][1100/2505] lr: 5.0000e-04 eta: 21:09:41 time: 0.9107 data_time: 0.3118 memory: 32703 grad_norm: 19.4127 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2930 loss: 1.2930 2022/07/30 09:19:37 - mmengine - INFO - Epoch(train) [28][1120/2505] lr: 5.0000e-04 eta: 21:09:23 time: 1.0469 data_time: 0.4269 memory: 32703 grad_norm: 19.1140 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5667 loss: 1.5667 2022/07/30 09:19:56 - mmengine - INFO - Epoch(train) [28][1140/2505] lr: 5.0000e-04 eta: 21:09:02 time: 0.9796 data_time: 0.3740 memory: 32703 grad_norm: 19.3770 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1654 loss: 1.1654 2022/07/30 09:20:17 - mmengine - INFO - Epoch(train) [28][1160/2505] lr: 5.0000e-04 eta: 21:08:44 time: 1.0468 data_time: 0.4262 memory: 32703 grad_norm: 19.2080 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5082 loss: 1.5082 2022/07/30 09:20:36 - mmengine - INFO - Epoch(train) [28][1180/2505] lr: 5.0000e-04 eta: 21:08:22 time: 0.9305 data_time: 0.3228 memory: 32703 grad_norm: 18.8107 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3520 loss: 1.3520 2022/07/30 09:20:56 - mmengine - INFO - Epoch(train) [28][1200/2505] lr: 5.0000e-04 eta: 21:08:02 time: 0.9886 data_time: 0.3966 memory: 32703 grad_norm: 18.7127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3647 loss: 1.3647 2022/07/30 09:21:14 - mmengine - INFO - Epoch(train) [28][1220/2505] lr: 5.0000e-04 eta: 21:07:41 time: 0.9291 data_time: 0.3301 memory: 32703 grad_norm: 18.4123 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2386 loss: 1.2386 2022/07/30 09:21:35 - mmengine - INFO - Epoch(train) [28][1240/2505] lr: 5.0000e-04 eta: 21:07:22 time: 1.0461 data_time: 0.4666 memory: 32703 grad_norm: 19.1787 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.2420 loss: 1.2420 2022/07/30 09:21:54 - mmengine - INFO - Epoch(train) [28][1260/2505] lr: 5.0000e-04 eta: 21:07:01 time: 0.9273 data_time: 0.3314 memory: 32703 grad_norm: 19.4406 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4566 loss: 1.4566 2022/07/30 09:22:14 - mmengine - INFO - Epoch(train) [28][1280/2505] lr: 5.0000e-04 eta: 21:06:42 time: 1.0308 data_time: 0.4487 memory: 32703 grad_norm: 19.8903 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3686 loss: 1.3686 2022/07/30 09:22:33 - mmengine - INFO - Epoch(train) [28][1300/2505] lr: 5.0000e-04 eta: 21:06:20 time: 0.9239 data_time: 0.3260 memory: 32703 grad_norm: 19.0203 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2905 loss: 1.2905 2022/07/30 09:22:53 - mmengine - INFO - Epoch(train) [28][1320/2505] lr: 5.0000e-04 eta: 21:06:01 time: 1.0144 data_time: 0.4402 memory: 32703 grad_norm: 18.8145 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3257 loss: 1.3257 2022/07/30 09:23:12 - mmengine - INFO - Epoch(train) [28][1340/2505] lr: 5.0000e-04 eta: 21:05:40 time: 0.9507 data_time: 0.3671 memory: 32703 grad_norm: 20.8166 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4530 loss: 1.4530 2022/07/30 09:23:33 - mmengine - INFO - Epoch(train) [28][1360/2505] lr: 5.0000e-04 eta: 21:05:21 time: 1.0499 data_time: 0.4382 memory: 32703 grad_norm: 18.8419 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4887 loss: 1.4887 2022/07/30 09:23:36 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 09:23:50 - mmengine - INFO - Epoch(train) [28][1380/2505] lr: 5.0000e-04 eta: 21:04:58 time: 0.8622 data_time: 0.2774 memory: 32703 grad_norm: 18.7451 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.2127 loss: 1.2127 2022/07/30 09:24:12 - mmengine - INFO - Epoch(train) [28][1400/2505] lr: 5.0000e-04 eta: 21:04:40 time: 1.0743 data_time: 0.4203 memory: 32703 grad_norm: 18.6315 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5529 loss: 1.5529 2022/07/30 09:24:30 - mmengine - INFO - Epoch(train) [28][1420/2505] lr: 5.0000e-04 eta: 21:04:18 time: 0.9012 data_time: 0.3141 memory: 32703 grad_norm: 19.5392 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3628 loss: 1.3628 2022/07/30 09:24:52 - mmengine - INFO - Epoch(train) [28][1440/2505] lr: 5.0000e-04 eta: 21:04:01 time: 1.1169 data_time: 0.4946 memory: 32703 grad_norm: 19.9703 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3991 loss: 1.3991 2022/07/30 09:25:11 - mmengine - INFO - Epoch(train) [28][1460/2505] lr: 5.0000e-04 eta: 21:03:39 time: 0.9183 data_time: 0.3087 memory: 32703 grad_norm: 19.2766 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2828 loss: 1.2828 2022/07/30 09:25:32 - mmengine - INFO - Epoch(train) [28][1480/2505] lr: 5.0000e-04 eta: 21:03:21 time: 1.0740 data_time: 0.4685 memory: 32703 grad_norm: 19.4300 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4153 loss: 1.4153 2022/07/30 09:25:49 - mmengine - INFO - Epoch(train) [28][1500/2505] lr: 5.0000e-04 eta: 21:02:58 time: 0.8405 data_time: 0.2702 memory: 32703 grad_norm: 19.3676 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4636 loss: 1.4636 2022/07/30 09:26:12 - mmengine - INFO - Epoch(train) [28][1520/2505] lr: 5.0000e-04 eta: 21:02:41 time: 1.1437 data_time: 0.5013 memory: 32703 grad_norm: 19.5837 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3707 loss: 1.3707 2022/07/30 09:26:29 - mmengine - INFO - Epoch(train) [28][1540/2505] lr: 5.0000e-04 eta: 21:02:18 time: 0.8465 data_time: 0.2778 memory: 32703 grad_norm: 19.2891 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5457 loss: 1.5457 2022/07/30 09:26:50 - mmengine - INFO - Epoch(train) [28][1560/2505] lr: 5.0000e-04 eta: 21:02:00 time: 1.0748 data_time: 0.4643 memory: 32703 grad_norm: 19.1202 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4517 loss: 1.4517 2022/07/30 09:27:08 - mmengine - INFO - Epoch(train) [28][1580/2505] lr: 5.0000e-04 eta: 21:01:38 time: 0.8987 data_time: 0.3282 memory: 32703 grad_norm: 18.7452 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4579 loss: 1.4579 2022/07/30 09:27:31 - mmengine - INFO - Epoch(train) [28][1600/2505] lr: 5.0000e-04 eta: 21:01:21 time: 1.1491 data_time: 0.5383 memory: 32703 grad_norm: 19.3615 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.3764 loss: 1.3764 2022/07/30 09:27:48 - mmengine - INFO - Epoch(train) [28][1620/2505] lr: 5.0000e-04 eta: 21:00:58 time: 0.8641 data_time: 0.2940 memory: 32703 grad_norm: 20.2700 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3429 loss: 1.3429 2022/07/30 09:28:10 - mmengine - INFO - Epoch(train) [28][1640/2505] lr: 5.0000e-04 eta: 21:00:41 time: 1.0835 data_time: 0.4922 memory: 32703 grad_norm: 18.6677 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3710 loss: 1.3710 2022/07/30 09:28:28 - mmengine - INFO - Epoch(train) [28][1660/2505] lr: 5.0000e-04 eta: 21:00:19 time: 0.8990 data_time: 0.3126 memory: 32703 grad_norm: 19.6209 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3500 loss: 1.3500 2022/07/30 09:28:49 - mmengine - INFO - Epoch(train) [28][1680/2505] lr: 5.0000e-04 eta: 21:00:00 time: 1.0391 data_time: 0.4547 memory: 32703 grad_norm: 19.7942 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1761 loss: 1.1761 2022/07/30 09:29:06 - mmengine - INFO - Epoch(train) [28][1700/2505] lr: 5.0000e-04 eta: 20:59:37 time: 0.8631 data_time: 0.2764 memory: 32703 grad_norm: 19.5949 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4154 loss: 1.4154 2022/07/30 09:29:28 - mmengine - INFO - Epoch(train) [28][1720/2505] lr: 5.0000e-04 eta: 20:59:19 time: 1.0895 data_time: 0.4753 memory: 32703 grad_norm: 18.8944 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3490 loss: 1.3490 2022/07/30 09:29:46 - mmengine - INFO - Epoch(train) [28][1740/2505] lr: 5.0000e-04 eta: 20:58:57 time: 0.8917 data_time: 0.3017 memory: 32703 grad_norm: 19.6928 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.2937 loss: 1.2937 2022/07/30 09:30:07 - mmengine - INFO - Epoch(train) [28][1760/2505] lr: 5.0000e-04 eta: 20:58:38 time: 1.0660 data_time: 0.4541 memory: 32703 grad_norm: 19.5872 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.6624 loss: 1.6624 2022/07/30 09:30:25 - mmengine - INFO - Epoch(train) [28][1780/2505] lr: 5.0000e-04 eta: 20:58:17 time: 0.9120 data_time: 0.3234 memory: 32703 grad_norm: 19.2565 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4446 loss: 1.4446 2022/07/30 09:30:47 - mmengine - INFO - Epoch(train) [28][1800/2505] lr: 5.0000e-04 eta: 20:57:59 time: 1.0777 data_time: 0.4851 memory: 32703 grad_norm: 18.9952 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2949 loss: 1.2949 2022/07/30 09:31:05 - mmengine - INFO - Epoch(train) [28][1820/2505] lr: 5.0000e-04 eta: 20:57:37 time: 0.9188 data_time: 0.3252 memory: 32703 grad_norm: 19.0203 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6816 loss: 1.6816 2022/07/30 09:31:26 - mmengine - INFO - Epoch(train) [28][1840/2505] lr: 5.0000e-04 eta: 20:57:18 time: 1.0527 data_time: 0.4472 memory: 32703 grad_norm: 19.1014 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2249 loss: 1.2249 2022/07/30 09:31:44 - mmengine - INFO - Epoch(train) [28][1860/2505] lr: 5.0000e-04 eta: 20:56:56 time: 0.8946 data_time: 0.3034 memory: 32703 grad_norm: 19.2133 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4514 loss: 1.4514 2022/07/30 09:32:05 - mmengine - INFO - Epoch(train) [28][1880/2505] lr: 5.0000e-04 eta: 20:56:38 time: 1.0612 data_time: 0.4655 memory: 32703 grad_norm: 19.1329 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3808 loss: 1.3808 2022/07/30 09:32:24 - mmengine - INFO - Epoch(train) [28][1900/2505] lr: 5.0000e-04 eta: 20:56:17 time: 0.9397 data_time: 0.3463 memory: 32703 grad_norm: 19.4973 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5413 loss: 1.5413 2022/07/30 09:32:45 - mmengine - INFO - Epoch(train) [28][1920/2505] lr: 5.0000e-04 eta: 20:55:58 time: 1.0276 data_time: 0.4338 memory: 32703 grad_norm: 19.9893 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2322 loss: 1.2322 2022/07/30 09:33:03 - mmengine - INFO - Epoch(train) [28][1940/2505] lr: 5.0000e-04 eta: 20:55:36 time: 0.9148 data_time: 0.3013 memory: 32703 grad_norm: 19.5619 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.2582 loss: 1.2582 2022/07/30 09:33:23 - mmengine - INFO - Epoch(train) [28][1960/2505] lr: 5.0000e-04 eta: 20:55:16 time: 1.0066 data_time: 0.4059 memory: 32703 grad_norm: 19.3564 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3886 loss: 1.3886 2022/07/30 09:33:42 - mmengine - INFO - Epoch(train) [28][1980/2505] lr: 5.0000e-04 eta: 20:54:55 time: 0.9334 data_time: 0.3288 memory: 32703 grad_norm: 19.3168 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2785 loss: 1.2785 2022/07/30 09:34:03 - mmengine - INFO - Epoch(train) [28][2000/2505] lr: 5.0000e-04 eta: 20:54:36 time: 1.0459 data_time: 0.4556 memory: 32703 grad_norm: 19.3258 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2537 loss: 1.2537 2022/07/30 09:34:21 - mmengine - INFO - Epoch(train) [28][2020/2505] lr: 5.0000e-04 eta: 20:54:15 time: 0.9145 data_time: 0.3331 memory: 32703 grad_norm: 18.4303 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.4923 loss: 1.4923 2022/07/30 09:34:42 - mmengine - INFO - Epoch(train) [28][2040/2505] lr: 5.0000e-04 eta: 20:53:56 time: 1.0616 data_time: 0.4872 memory: 32703 grad_norm: 19.8373 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2823 loss: 1.2823 2022/07/30 09:35:01 - mmengine - INFO - Epoch(train) [28][2060/2505] lr: 5.0000e-04 eta: 20:53:35 time: 0.9344 data_time: 0.2397 memory: 32703 grad_norm: 19.2495 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5050 loss: 1.5050 2022/07/30 09:35:21 - mmengine - INFO - Epoch(train) [28][2080/2505] lr: 5.0000e-04 eta: 20:53:15 time: 0.9883 data_time: 0.1857 memory: 32703 grad_norm: 19.3103 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3064 loss: 1.3064 2022/07/30 09:35:41 - mmengine - INFO - Epoch(train) [28][2100/2505] lr: 5.0000e-04 eta: 20:52:56 time: 1.0286 data_time: 0.0280 memory: 32703 grad_norm: 19.0040 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2562 loss: 1.2562 2022/07/30 09:36:00 - mmengine - INFO - Epoch(train) [28][2120/2505] lr: 5.0000e-04 eta: 20:52:34 time: 0.9068 data_time: 0.0270 memory: 32703 grad_norm: 19.3716 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4907 loss: 1.4907 2022/07/30 09:36:20 - mmengine - INFO - Epoch(train) [28][2140/2505] lr: 5.0000e-04 eta: 20:52:15 time: 1.0177 data_time: 0.1493 memory: 32703 grad_norm: 19.8010 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5394 loss: 1.5394 2022/07/30 09:36:39 - mmengine - INFO - Epoch(train) [28][2160/2505] lr: 5.0000e-04 eta: 20:51:53 time: 0.9382 data_time: 0.0601 memory: 32703 grad_norm: 19.5814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3667 loss: 1.3667 2022/07/30 09:36:58 - mmengine - INFO - Epoch(train) [28][2180/2505] lr: 5.0000e-04 eta: 20:51:33 time: 0.9822 data_time: 0.0331 memory: 32703 grad_norm: 18.7671 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2485 loss: 1.2485 2022/07/30 09:37:19 - mmengine - INFO - Epoch(train) [28][2200/2505] lr: 5.0000e-04 eta: 20:51:14 time: 1.0251 data_time: 0.0294 memory: 32703 grad_norm: 19.3654 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3903 loss: 1.3903 2022/07/30 09:37:38 - mmengine - INFO - Epoch(train) [28][2220/2505] lr: 5.0000e-04 eta: 20:50:53 time: 0.9544 data_time: 0.0291 memory: 32703 grad_norm: 18.6041 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3866 loss: 1.3866 2022/07/30 09:37:59 - mmengine - INFO - Epoch(train) [28][2240/2505] lr: 5.0000e-04 eta: 20:50:35 time: 1.0655 data_time: 0.0270 memory: 32703 grad_norm: 19.5446 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5130 loss: 1.5130 2022/07/30 09:38:18 - mmengine - INFO - Epoch(train) [28][2260/2505] lr: 5.0000e-04 eta: 20:50:14 time: 0.9475 data_time: 0.0283 memory: 32703 grad_norm: 19.4564 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5153 loss: 1.5153 2022/07/30 09:38:39 - mmengine - INFO - Epoch(train) [28][2280/2505] lr: 5.0000e-04 eta: 20:49:55 time: 1.0598 data_time: 0.0272 memory: 32703 grad_norm: 19.1956 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2460 loss: 1.2460 2022/07/30 09:38:58 - mmengine - INFO - Epoch(train) [28][2300/2505] lr: 5.0000e-04 eta: 20:49:34 time: 0.9463 data_time: 0.0258 memory: 32703 grad_norm: 19.8316 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2492 loss: 1.2492 2022/07/30 09:39:18 - mmengine - INFO - Epoch(train) [28][2320/2505] lr: 5.0000e-04 eta: 20:49:14 time: 0.9787 data_time: 0.0275 memory: 32703 grad_norm: 19.4184 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3439 loss: 1.3439 2022/07/30 09:39:37 - mmengine - INFO - Epoch(train) [28][2340/2505] lr: 5.0000e-04 eta: 20:48:53 time: 0.9486 data_time: 0.0267 memory: 32703 grad_norm: 19.0878 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4670 loss: 1.4670 2022/07/30 09:39:57 - mmengine - INFO - Epoch(train) [28][2360/2505] lr: 5.0000e-04 eta: 20:48:34 time: 1.0162 data_time: 0.0296 memory: 32703 grad_norm: 19.3519 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6011 loss: 1.6011 2022/07/30 09:40:03 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 09:40:16 - mmengine - INFO - Epoch(train) [28][2380/2505] lr: 5.0000e-04 eta: 20:48:12 time: 0.9177 data_time: 0.0288 memory: 32703 grad_norm: 19.5454 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4897 loss: 1.4897 2022/07/30 09:40:36 - mmengine - INFO - Epoch(train) [28][2400/2505] lr: 5.0000e-04 eta: 20:47:53 time: 1.0239 data_time: 0.0284 memory: 32703 grad_norm: 20.1881 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4251 loss: 1.4251 2022/07/30 09:40:55 - mmengine - INFO - Epoch(train) [28][2420/2505] lr: 5.0000e-04 eta: 20:47:32 time: 0.9575 data_time: 0.0283 memory: 32703 grad_norm: 19.6161 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2785 loss: 1.2785 2022/07/30 09:41:15 - mmengine - INFO - Epoch(train) [28][2440/2505] lr: 5.0000e-04 eta: 20:47:12 time: 0.9970 data_time: 0.0276 memory: 32703 grad_norm: 19.8551 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3423 loss: 1.3423 2022/07/30 09:41:35 - mmengine - INFO - Epoch(train) [28][2460/2505] lr: 5.0000e-04 eta: 20:46:52 time: 0.9764 data_time: 0.0302 memory: 32703 grad_norm: 19.2526 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2499 loss: 1.2499 2022/07/30 09:41:56 - mmengine - INFO - Epoch(train) [28][2480/2505] lr: 5.0000e-04 eta: 20:46:34 time: 1.0595 data_time: 0.0263 memory: 32703 grad_norm: 18.7806 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3156 loss: 1.3156 2022/07/30 09:42:14 - mmengine - INFO - Epoch(train) [28][2500/2505] lr: 5.0000e-04 eta: 20:46:11 time: 0.8832 data_time: 0.0298 memory: 32703 grad_norm: 18.8122 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4342 loss: 1.4342 2022/07/30 09:42:16 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 09:42:16 - mmengine - INFO - Epoch(train) [28][2505/2505] lr: 5.0000e-04 eta: 20:46:11 time: 0.7629 data_time: 0.0198 memory: 32703 grad_norm: 19.3513 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2914 loss: 1.2914 2022/07/30 09:42:16 - mmengine - INFO - Saving checkpoint at 28 epochs 2022/07/30 09:42:45 - mmengine - INFO - Epoch(train) [29][20/2505] lr: 5.0000e-04 eta: 20:45:44 time: 1.1293 data_time: 0.5344 memory: 32703 grad_norm: 19.9957 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4515 loss: 1.4515 2022/07/30 09:43:03 - mmengine - INFO - Epoch(train) [29][40/2505] lr: 5.0000e-04 eta: 20:45:22 time: 0.8969 data_time: 0.3120 memory: 32703 grad_norm: 18.6678 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3528 loss: 1.3528 2022/07/30 09:43:25 - mmengine - INFO - Epoch(train) [29][60/2505] lr: 5.0000e-04 eta: 20:45:04 time: 1.0729 data_time: 0.4911 memory: 32703 grad_norm: 18.9284 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3572 loss: 1.3572 2022/07/30 09:43:43 - mmengine - INFO - Epoch(train) [29][80/2505] lr: 5.0000e-04 eta: 20:44:42 time: 0.9075 data_time: 0.3176 memory: 32703 grad_norm: 18.8364 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2703 loss: 1.2703 2022/07/30 09:44:04 - mmengine - INFO - Epoch(train) [29][100/2505] lr: 5.0000e-04 eta: 20:44:24 time: 1.0635 data_time: 0.4853 memory: 32703 grad_norm: 19.8814 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3535 loss: 1.3535 2022/07/30 09:44:22 - mmengine - INFO - Epoch(train) [29][120/2505] lr: 5.0000e-04 eta: 20:44:02 time: 0.9126 data_time: 0.3247 memory: 32703 grad_norm: 19.5089 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1811 loss: 1.1811 2022/07/30 09:44:44 - mmengine - INFO - Epoch(train) [29][140/2505] lr: 5.0000e-04 eta: 20:43:44 time: 1.0882 data_time: 0.4704 memory: 32703 grad_norm: 18.5268 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2736 loss: 1.2736 2022/07/30 09:45:02 - mmengine - INFO - Epoch(train) [29][160/2505] lr: 5.0000e-04 eta: 20:43:22 time: 0.9027 data_time: 0.2941 memory: 32703 grad_norm: 18.6057 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3489 loss: 1.3489 2022/07/30 09:45:24 - mmengine - INFO - Epoch(train) [29][180/2505] lr: 5.0000e-04 eta: 20:43:04 time: 1.0732 data_time: 0.4925 memory: 32703 grad_norm: 19.8052 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1598 loss: 1.1598 2022/07/30 09:45:42 - mmengine - INFO - Epoch(train) [29][200/2505] lr: 5.0000e-04 eta: 20:42:43 time: 0.9352 data_time: 0.3508 memory: 32703 grad_norm: 18.8447 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4095 loss: 1.4095 2022/07/30 09:46:03 - mmengine - INFO - Epoch(train) [29][220/2505] lr: 5.0000e-04 eta: 20:42:24 time: 1.0586 data_time: 0.4517 memory: 32703 grad_norm: 18.9927 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5147 loss: 1.5147 2022/07/30 09:46:22 - mmengine - INFO - Epoch(train) [29][240/2505] lr: 5.0000e-04 eta: 20:42:03 time: 0.9228 data_time: 0.3470 memory: 32703 grad_norm: 19.5383 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5454 loss: 1.5454 2022/07/30 09:46:43 - mmengine - INFO - Epoch(train) [29][260/2505] lr: 5.0000e-04 eta: 20:41:44 time: 1.0585 data_time: 0.4611 memory: 32703 grad_norm: 19.3593 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4805 loss: 1.4805 2022/07/30 09:47:01 - mmengine - INFO - Epoch(train) [29][280/2505] lr: 5.0000e-04 eta: 20:41:23 time: 0.9103 data_time: 0.3328 memory: 32703 grad_norm: 20.2399 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3828 loss: 1.3828 2022/07/30 09:47:23 - mmengine - INFO - Epoch(train) [29][300/2505] lr: 5.0000e-04 eta: 20:41:04 time: 1.0707 data_time: 0.4653 memory: 32703 grad_norm: 19.0424 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2977 loss: 1.2977 2022/07/30 09:47:41 - mmengine - INFO - Epoch(train) [29][320/2505] lr: 5.0000e-04 eta: 20:40:42 time: 0.9016 data_time: 0.3063 memory: 32703 grad_norm: 19.2111 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2895 loss: 1.2895 2022/07/30 09:48:02 - mmengine - INFO - Epoch(train) [29][340/2505] lr: 5.0000e-04 eta: 20:40:24 time: 1.0621 data_time: 0.4568 memory: 32703 grad_norm: 19.1474 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4688 loss: 1.4688 2022/07/30 09:48:20 - mmengine - INFO - Epoch(train) [29][360/2505] lr: 5.0000e-04 eta: 20:40:02 time: 0.9043 data_time: 0.3191 memory: 32703 grad_norm: 19.3597 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5421 loss: 1.5421 2022/07/30 09:48:41 - mmengine - INFO - Epoch(train) [29][380/2505] lr: 5.0000e-04 eta: 20:39:43 time: 1.0511 data_time: 0.4514 memory: 32703 grad_norm: 20.0626 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5906 loss: 1.5906 2022/07/30 09:49:00 - mmengine - INFO - Epoch(train) [29][400/2505] lr: 5.0000e-04 eta: 20:39:22 time: 0.9371 data_time: 0.3516 memory: 32703 grad_norm: 19.1554 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2189 loss: 1.2189 2022/07/30 09:49:21 - mmengine - INFO - Epoch(train) [29][420/2505] lr: 5.0000e-04 eta: 20:39:03 time: 1.0356 data_time: 0.4283 memory: 32703 grad_norm: 19.2275 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3533 loss: 1.3533 2022/07/30 09:49:40 - mmengine - INFO - Epoch(train) [29][440/2505] lr: 5.0000e-04 eta: 20:38:42 time: 0.9492 data_time: 0.3411 memory: 32703 grad_norm: 18.6840 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3195 loss: 1.3195 2022/07/30 09:49:58 - mmengine - INFO - Epoch(train) [29][460/2505] lr: 5.0000e-04 eta: 20:38:21 time: 0.9312 data_time: 0.3396 memory: 32703 grad_norm: 19.6548 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4248 loss: 1.4248 2022/07/30 09:50:17 - mmengine - INFO - Epoch(train) [29][480/2505] lr: 5.0000e-04 eta: 20:38:01 time: 0.9629 data_time: 0.3498 memory: 32703 grad_norm: 20.2112 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3339 loss: 1.3339 2022/07/30 09:50:37 - mmengine - INFO - Epoch(train) [29][500/2505] lr: 5.0000e-04 eta: 20:37:41 time: 0.9959 data_time: 0.4162 memory: 32703 grad_norm: 18.9539 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5197 loss: 1.5197 2022/07/30 09:50:55 - mmengine - INFO - Epoch(train) [29][520/2505] lr: 5.0000e-04 eta: 20:37:18 time: 0.8816 data_time: 0.3087 memory: 32703 grad_norm: 19.5382 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5063 loss: 1.5063 2022/07/30 09:51:17 - mmengine - INFO - Epoch(train) [29][540/2505] lr: 5.0000e-04 eta: 20:37:01 time: 1.1102 data_time: 0.4981 memory: 32703 grad_norm: 19.5468 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2893 loss: 1.2893 2022/07/30 09:51:35 - mmengine - INFO - Epoch(train) [29][560/2505] lr: 5.0000e-04 eta: 20:36:39 time: 0.9067 data_time: 0.3019 memory: 32703 grad_norm: 19.2383 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3023 loss: 1.3023 2022/07/30 09:51:56 - mmengine - INFO - Epoch(train) [29][580/2505] lr: 5.0000e-04 eta: 20:36:20 time: 1.0086 data_time: 0.4132 memory: 32703 grad_norm: 19.2464 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3658 loss: 1.3658 2022/07/30 09:52:15 - mmengine - INFO - Epoch(train) [29][600/2505] lr: 5.0000e-04 eta: 20:35:59 time: 0.9599 data_time: 0.3822 memory: 32703 grad_norm: 18.2780 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3310 loss: 1.3310 2022/07/30 09:52:36 - mmengine - INFO - Epoch(train) [29][620/2505] lr: 5.0000e-04 eta: 20:35:41 time: 1.0715 data_time: 0.4741 memory: 32703 grad_norm: 20.2324 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4326 loss: 1.4326 2022/07/30 09:52:54 - mmengine - INFO - Epoch(train) [29][640/2505] lr: 5.0000e-04 eta: 20:35:19 time: 0.8868 data_time: 0.2981 memory: 32703 grad_norm: 19.7803 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5809 loss: 1.5809 2022/07/30 09:53:15 - mmengine - INFO - Epoch(train) [29][660/2505] lr: 5.0000e-04 eta: 20:35:00 time: 1.0584 data_time: 0.4745 memory: 32703 grad_norm: 19.4975 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3754 loss: 1.3754 2022/07/30 09:53:33 - mmengine - INFO - Epoch(train) [29][680/2505] lr: 5.0000e-04 eta: 20:34:38 time: 0.9151 data_time: 0.3091 memory: 32703 grad_norm: 19.4121 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2677 loss: 1.2677 2022/07/30 09:53:55 - mmengine - INFO - Epoch(train) [29][700/2505] lr: 5.0000e-04 eta: 20:34:20 time: 1.0746 data_time: 0.4659 memory: 32703 grad_norm: 19.1495 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.5469 loss: 1.5469 2022/07/30 09:54:12 - mmengine - INFO - Epoch(train) [29][720/2505] lr: 5.0000e-04 eta: 20:33:57 time: 0.8298 data_time: 0.2583 memory: 32703 grad_norm: 19.4711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4607 loss: 1.4607 2022/07/30 09:54:33 - mmengine - INFO - Epoch(train) [29][740/2505] lr: 5.0000e-04 eta: 20:33:38 time: 1.0563 data_time: 0.4378 memory: 32703 grad_norm: 18.9351 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6432 loss: 1.6432 2022/07/30 09:54:51 - mmengine - INFO - Epoch(train) [29][760/2505] lr: 5.0000e-04 eta: 20:33:16 time: 0.9021 data_time: 0.3074 memory: 32703 grad_norm: 19.3967 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.3739 loss: 1.3739 2022/07/30 09:55:12 - mmengine - INFO - Epoch(train) [29][780/2505] lr: 5.0000e-04 eta: 20:32:58 time: 1.0666 data_time: 0.4728 memory: 32703 grad_norm: 18.4161 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1788 loss: 1.1788 2022/07/30 09:55:31 - mmengine - INFO - Epoch(train) [29][800/2505] lr: 5.0000e-04 eta: 20:32:37 time: 0.9340 data_time: 0.3670 memory: 32703 grad_norm: 19.1777 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4514 loss: 1.4514 2022/07/30 09:55:52 - mmengine - INFO - Epoch(train) [29][820/2505] lr: 5.0000e-04 eta: 20:32:18 time: 1.0391 data_time: 0.4365 memory: 32703 grad_norm: 19.8387 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1263 loss: 1.1263 2022/07/30 09:56:10 - mmengine - INFO - Epoch(train) [29][840/2505] lr: 5.0000e-04 eta: 20:31:57 time: 0.9374 data_time: 0.3732 memory: 32703 grad_norm: 20.4613 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2702 loss: 1.2702 2022/07/30 09:56:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 09:56:31 - mmengine - INFO - Epoch(train) [29][860/2505] lr: 5.0000e-04 eta: 20:31:38 time: 1.0487 data_time: 0.4495 memory: 32703 grad_norm: 19.6205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5453 loss: 1.5453 2022/07/30 09:56:50 - mmengine - INFO - Epoch(train) [29][880/2505] lr: 5.0000e-04 eta: 20:31:17 time: 0.9262 data_time: 0.3289 memory: 32703 grad_norm: 19.3936 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2497 loss: 1.2497 2022/07/30 09:57:10 - mmengine - INFO - Epoch(train) [29][900/2505] lr: 5.0000e-04 eta: 20:30:57 time: 1.0139 data_time: 0.4474 memory: 32703 grad_norm: 19.2718 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2573 loss: 1.2573 2022/07/30 09:57:29 - mmengine - INFO - Epoch(train) [29][920/2505] lr: 5.0000e-04 eta: 20:30:37 time: 0.9650 data_time: 0.3951 memory: 32703 grad_norm: 19.5227 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4162 loss: 1.4162 2022/07/30 09:57:49 - mmengine - INFO - Epoch(train) [29][940/2505] lr: 5.0000e-04 eta: 20:30:17 time: 0.9814 data_time: 0.3696 memory: 32703 grad_norm: 18.3969 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6105 loss: 1.6105 2022/07/30 09:58:09 - mmengine - INFO - Epoch(train) [29][960/2505] lr: 5.0000e-04 eta: 20:29:57 time: 1.0019 data_time: 0.3251 memory: 32703 grad_norm: 18.5136 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.2765 loss: 1.2765 2022/07/30 09:58:28 - mmengine - INFO - Epoch(train) [29][980/2505] lr: 5.0000e-04 eta: 20:29:36 time: 0.9477 data_time: 0.3217 memory: 32703 grad_norm: 19.2118 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5676 loss: 1.5676 2022/07/30 09:58:49 - mmengine - INFO - Epoch(train) [29][1000/2505] lr: 5.0000e-04 eta: 20:29:17 time: 1.0468 data_time: 0.4442 memory: 32703 grad_norm: 19.8763 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3293 loss: 1.3293 2022/07/30 09:59:08 - mmengine - INFO - Epoch(train) [29][1020/2505] lr: 5.0000e-04 eta: 20:28:56 time: 0.9403 data_time: 0.3359 memory: 32703 grad_norm: 19.1469 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2881 loss: 1.2881 2022/07/30 09:59:28 - mmengine - INFO - Epoch(train) [29][1040/2505] lr: 5.0000e-04 eta: 20:28:37 time: 1.0136 data_time: 0.4122 memory: 32703 grad_norm: 19.1598 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4992 loss: 1.4992 2022/07/30 09:59:46 - mmengine - INFO - Epoch(train) [29][1060/2505] lr: 5.0000e-04 eta: 20:28:15 time: 0.9136 data_time: 0.2901 memory: 32703 grad_norm: 19.7199 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3801 loss: 1.3801 2022/07/30 10:00:08 - mmengine - INFO - Epoch(train) [29][1080/2505] lr: 5.0000e-04 eta: 20:27:57 time: 1.0767 data_time: 0.4873 memory: 32703 grad_norm: 19.8290 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4141 loss: 1.4141 2022/07/30 10:00:26 - mmengine - INFO - Epoch(train) [29][1100/2505] lr: 5.0000e-04 eta: 20:27:36 time: 0.9265 data_time: 0.3021 memory: 32703 grad_norm: 18.9551 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1868 loss: 1.1868 2022/07/30 10:00:47 - mmengine - INFO - Epoch(train) [29][1120/2505] lr: 5.0000e-04 eta: 20:27:16 time: 1.0268 data_time: 0.3702 memory: 32703 grad_norm: 19.1591 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5732 loss: 1.5732 2022/07/30 10:01:05 - mmengine - INFO - Epoch(train) [29][1140/2505] lr: 5.0000e-04 eta: 20:26:55 time: 0.9224 data_time: 0.2772 memory: 32703 grad_norm: 19.3635 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.2950 loss: 1.2950 2022/07/30 10:01:26 - mmengine - INFO - Epoch(train) [29][1160/2505] lr: 5.0000e-04 eta: 20:26:36 time: 1.0309 data_time: 0.2425 memory: 32703 grad_norm: 19.1321 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3757 loss: 1.3757 2022/07/30 10:01:46 - mmengine - INFO - Epoch(train) [29][1180/2505] lr: 5.0000e-04 eta: 20:26:16 time: 1.0019 data_time: 0.3153 memory: 32703 grad_norm: 18.9802 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4827 loss: 1.4827 2022/07/30 10:02:05 - mmengine - INFO - Epoch(train) [29][1200/2505] lr: 5.0000e-04 eta: 20:25:55 time: 0.9264 data_time: 0.2626 memory: 32703 grad_norm: 19.5073 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3831 loss: 1.3831 2022/07/30 10:02:25 - mmengine - INFO - Epoch(train) [29][1220/2505] lr: 5.0000e-04 eta: 20:25:36 time: 1.0289 data_time: 0.3702 memory: 32703 grad_norm: 19.3645 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2821 loss: 1.2821 2022/07/30 10:02:44 - mmengine - INFO - Epoch(train) [29][1240/2505] lr: 5.0000e-04 eta: 20:25:15 time: 0.9480 data_time: 0.2657 memory: 32703 grad_norm: 18.5641 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3826 loss: 1.3826 2022/07/30 10:03:05 - mmengine - INFO - Epoch(train) [29][1260/2505] lr: 5.0000e-04 eta: 20:24:55 time: 1.0307 data_time: 0.4086 memory: 32703 grad_norm: 19.7725 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3641 loss: 1.3641 2022/07/30 10:03:23 - mmengine - INFO - Epoch(train) [29][1280/2505] lr: 5.0000e-04 eta: 20:24:34 time: 0.9117 data_time: 0.2811 memory: 32703 grad_norm: 19.0911 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3406 loss: 1.3406 2022/07/30 10:03:44 - mmengine - INFO - Epoch(train) [29][1300/2505] lr: 5.0000e-04 eta: 20:24:15 time: 1.0537 data_time: 0.3763 memory: 32703 grad_norm: 20.2627 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4493 loss: 1.4493 2022/07/30 10:04:02 - mmengine - INFO - Epoch(train) [29][1320/2505] lr: 5.0000e-04 eta: 20:23:54 time: 0.9165 data_time: 0.2497 memory: 32703 grad_norm: 19.0490 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4221 loss: 1.4221 2022/07/30 10:04:25 - mmengine - INFO - Epoch(train) [29][1340/2505] lr: 5.0000e-04 eta: 20:23:36 time: 1.1090 data_time: 0.3188 memory: 32703 grad_norm: 19.2588 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6205 loss: 1.6205 2022/07/30 10:04:42 - mmengine - INFO - Epoch(train) [29][1360/2505] lr: 5.0000e-04 eta: 20:23:14 time: 0.8741 data_time: 0.1242 memory: 32703 grad_norm: 19.3726 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2760 loss: 1.2760 2022/07/30 10:05:04 - mmengine - INFO - Epoch(train) [29][1380/2505] lr: 5.0000e-04 eta: 20:22:56 time: 1.1180 data_time: 0.2965 memory: 32703 grad_norm: 19.9114 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.4986 loss: 1.4986 2022/07/30 10:05:22 - mmengine - INFO - Epoch(train) [29][1400/2505] lr: 5.0000e-04 eta: 20:22:34 time: 0.8641 data_time: 0.1807 memory: 32703 grad_norm: 19.0666 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2515 loss: 1.2515 2022/07/30 10:05:44 - mmengine - INFO - Epoch(train) [29][1420/2505] lr: 5.0000e-04 eta: 20:22:17 time: 1.1210 data_time: 0.2111 memory: 32703 grad_norm: 18.6135 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4026 loss: 1.4026 2022/07/30 10:06:02 - mmengine - INFO - Epoch(train) [29][1440/2505] lr: 5.0000e-04 eta: 20:21:54 time: 0.8836 data_time: 0.0286 memory: 32703 grad_norm: 20.1518 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2394 loss: 1.2394 2022/07/30 10:06:23 - mmengine - INFO - Epoch(train) [29][1460/2505] lr: 5.0000e-04 eta: 20:21:36 time: 1.0581 data_time: 0.0285 memory: 32703 grad_norm: 19.6814 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1950 loss: 1.1950 2022/07/30 10:06:42 - mmengine - INFO - Epoch(train) [29][1480/2505] lr: 5.0000e-04 eta: 20:21:15 time: 0.9269 data_time: 0.0311 memory: 32703 grad_norm: 19.0006 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4564 loss: 1.4564 2022/07/30 10:07:03 - mmengine - INFO - Epoch(train) [29][1500/2505] lr: 5.0000e-04 eta: 20:20:56 time: 1.0758 data_time: 0.0453 memory: 32703 grad_norm: 19.8455 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7330 loss: 1.7330 2022/07/30 10:07:21 - mmengine - INFO - Epoch(train) [29][1520/2505] lr: 5.0000e-04 eta: 20:20:35 time: 0.9126 data_time: 0.0432 memory: 32703 grad_norm: 19.9696 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3249 loss: 1.3249 2022/07/30 10:07:42 - mmengine - INFO - Epoch(train) [29][1540/2505] lr: 5.0000e-04 eta: 20:20:16 time: 1.0583 data_time: 0.0289 memory: 32703 grad_norm: 18.7557 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3996 loss: 1.3996 2022/07/30 10:08:00 - mmengine - INFO - Epoch(train) [29][1560/2505] lr: 5.0000e-04 eta: 20:19:54 time: 0.8803 data_time: 0.0279 memory: 32703 grad_norm: 19.3011 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4122 loss: 1.4122 2022/07/30 10:08:22 - mmengine - INFO - Epoch(train) [29][1580/2505] lr: 5.0000e-04 eta: 20:19:36 time: 1.0752 data_time: 0.0323 memory: 32703 grad_norm: 19.0822 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3635 loss: 1.3635 2022/07/30 10:08:40 - mmengine - INFO - Epoch(train) [29][1600/2505] lr: 5.0000e-04 eta: 20:19:14 time: 0.8980 data_time: 0.0323 memory: 32703 grad_norm: 18.5682 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3082 loss: 1.3082 2022/07/30 10:09:00 - mmengine - INFO - Epoch(train) [29][1620/2505] lr: 5.0000e-04 eta: 20:18:54 time: 1.0241 data_time: 0.0291 memory: 32703 grad_norm: 18.9773 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4016 loss: 1.4016 2022/07/30 10:09:18 - mmengine - INFO - Epoch(train) [29][1640/2505] lr: 5.0000e-04 eta: 20:18:33 time: 0.9166 data_time: 0.0350 memory: 32703 grad_norm: 18.7587 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1170 loss: 1.1170 2022/07/30 10:09:40 - mmengine - INFO - Epoch(train) [29][1660/2505] lr: 5.0000e-04 eta: 20:18:15 time: 1.0943 data_time: 0.0344 memory: 32703 grad_norm: 18.9437 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3666 loss: 1.3666 2022/07/30 10:09:58 - mmengine - INFO - Epoch(train) [29][1680/2505] lr: 5.0000e-04 eta: 20:17:53 time: 0.8781 data_time: 0.0330 memory: 32703 grad_norm: 19.2715 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4894 loss: 1.4894 2022/07/30 10:10:19 - mmengine - INFO - Epoch(train) [29][1700/2505] lr: 5.0000e-04 eta: 20:17:34 time: 1.0642 data_time: 0.0301 memory: 32703 grad_norm: 19.3357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3471 loss: 1.3471 2022/07/30 10:10:38 - mmengine - INFO - Epoch(train) [29][1720/2505] lr: 5.0000e-04 eta: 20:17:14 time: 0.9478 data_time: 0.0293 memory: 32703 grad_norm: 19.0318 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3009 loss: 1.3009 2022/07/30 10:10:59 - mmengine - INFO - Epoch(train) [29][1740/2505] lr: 5.0000e-04 eta: 20:16:55 time: 1.0551 data_time: 0.0408 memory: 32703 grad_norm: 19.1526 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1439 loss: 1.1439 2022/07/30 10:11:18 - mmengine - INFO - Epoch(train) [29][1760/2505] lr: 5.0000e-04 eta: 20:16:34 time: 0.9319 data_time: 0.0449 memory: 32703 grad_norm: 19.3773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2925 loss: 1.2925 2022/07/30 10:11:38 - mmengine - INFO - Epoch(train) [29][1780/2505] lr: 5.0000e-04 eta: 20:16:14 time: 1.0045 data_time: 0.0892 memory: 32703 grad_norm: 19.0539 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.2188 loss: 1.2188 2022/07/30 10:11:57 - mmengine - INFO - Epoch(train) [29][1800/2505] lr: 5.0000e-04 eta: 20:15:53 time: 0.9617 data_time: 0.0280 memory: 32703 grad_norm: 19.1511 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2685 loss: 1.2685 2022/07/30 10:12:17 - mmengine - INFO - Epoch(train) [29][1820/2505] lr: 5.0000e-04 eta: 20:15:33 time: 0.9875 data_time: 0.0513 memory: 32703 grad_norm: 19.5470 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5671 loss: 1.5671 2022/07/30 10:12:37 - mmengine - INFO - Epoch(train) [29][1840/2505] lr: 5.0000e-04 eta: 20:15:14 time: 1.0025 data_time: 0.0337 memory: 32703 grad_norm: 19.6533 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0975 loss: 1.0975 2022/07/30 10:12:57 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 10:12:57 - mmengine - INFO - Epoch(train) [29][1860/2505] lr: 5.0000e-04 eta: 20:14:54 time: 1.0174 data_time: 0.0324 memory: 32703 grad_norm: 19.0124 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3531 loss: 1.3531 2022/07/30 10:13:16 - mmengine - INFO - Epoch(train) [29][1880/2505] lr: 5.0000e-04 eta: 20:14:33 time: 0.9175 data_time: 0.1180 memory: 32703 grad_norm: 18.0669 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4102 loss: 1.4102 2022/07/30 10:13:35 - mmengine - INFO - Epoch(train) [29][1900/2505] lr: 5.0000e-04 eta: 20:14:12 time: 0.9568 data_time: 0.2910 memory: 32703 grad_norm: 19.3207 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2157 loss: 1.2157 2022/07/30 10:13:57 - mmengine - INFO - Epoch(train) [29][1920/2505] lr: 5.0000e-04 eta: 20:13:54 time: 1.0999 data_time: 0.2927 memory: 32703 grad_norm: 19.0658 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3759 loss: 1.3759 2022/07/30 10:14:15 - mmengine - INFO - Epoch(train) [29][1940/2505] lr: 5.0000e-04 eta: 20:13:33 time: 0.9128 data_time: 0.0978 memory: 32703 grad_norm: 19.6660 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3023 loss: 1.3023 2022/07/30 10:14:35 - mmengine - INFO - Epoch(train) [29][1960/2505] lr: 5.0000e-04 eta: 20:13:13 time: 0.9810 data_time: 0.1102 memory: 32703 grad_norm: 19.5387 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5326 loss: 1.5326 2022/07/30 10:14:55 - mmengine - INFO - Epoch(train) [29][1980/2505] lr: 5.0000e-04 eta: 20:12:53 time: 0.9972 data_time: 0.1131 memory: 32703 grad_norm: 19.0275 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2851 loss: 1.2851 2022/07/30 10:15:14 - mmengine - INFO - Epoch(train) [29][2000/2505] lr: 5.0000e-04 eta: 20:12:32 time: 0.9600 data_time: 0.0376 memory: 32703 grad_norm: 18.8173 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3743 loss: 1.3743 2022/07/30 10:15:34 - mmengine - INFO - Epoch(train) [29][2020/2505] lr: 5.0000e-04 eta: 20:12:12 time: 0.9970 data_time: 0.0315 memory: 32703 grad_norm: 19.1516 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4208 loss: 1.4208 2022/07/30 10:15:53 - mmengine - INFO - Epoch(train) [29][2040/2505] lr: 5.0000e-04 eta: 20:11:51 time: 0.9408 data_time: 0.1134 memory: 32703 grad_norm: 19.6965 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.3649 loss: 1.3649 2022/07/30 10:16:12 - mmengine - INFO - Epoch(train) [29][2060/2505] lr: 5.0000e-04 eta: 20:11:31 time: 0.9860 data_time: 0.1636 memory: 32703 grad_norm: 19.2249 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4701 loss: 1.4701 2022/07/30 10:16:31 - mmengine - INFO - Epoch(train) [29][2080/2505] lr: 5.0000e-04 eta: 20:11:11 time: 0.9564 data_time: 0.2123 memory: 32703 grad_norm: 19.2683 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4396 loss: 1.4396 2022/07/30 10:16:51 - mmengine - INFO - Epoch(train) [29][2100/2505] lr: 5.0000e-04 eta: 20:10:51 time: 0.9953 data_time: 0.1392 memory: 32703 grad_norm: 18.5992 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3087 loss: 1.3087 2022/07/30 10:17:11 - mmengine - INFO - Epoch(train) [29][2120/2505] lr: 5.0000e-04 eta: 20:10:31 time: 0.9935 data_time: 0.2947 memory: 32703 grad_norm: 19.0018 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4653 loss: 1.4653 2022/07/30 10:17:31 - mmengine - INFO - Epoch(train) [29][2140/2505] lr: 5.0000e-04 eta: 20:10:10 time: 0.9640 data_time: 0.2078 memory: 32703 grad_norm: 19.4578 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5865 loss: 1.5865 2022/07/30 10:17:49 - mmengine - INFO - Epoch(train) [29][2160/2505] lr: 5.0000e-04 eta: 20:09:49 time: 0.9304 data_time: 0.0482 memory: 32703 grad_norm: 20.1013 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3733 loss: 1.3733 2022/07/30 10:18:09 - mmengine - INFO - Epoch(train) [29][2180/2505] lr: 5.0000e-04 eta: 20:09:29 time: 0.9856 data_time: 0.0811 memory: 32703 grad_norm: 19.6678 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3446 loss: 1.3446 2022/07/30 10:18:28 - mmengine - INFO - Epoch(train) [29][2200/2505] lr: 5.0000e-04 eta: 20:09:09 time: 0.9712 data_time: 0.1038 memory: 32703 grad_norm: 19.3762 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4082 loss: 1.4082 2022/07/30 10:18:50 - mmengine - INFO - Epoch(train) [29][2220/2505] lr: 5.0000e-04 eta: 20:08:50 time: 1.0584 data_time: 0.0363 memory: 32703 grad_norm: 19.5334 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.1782 loss: 1.1782 2022/07/30 10:19:09 - mmengine - INFO - Epoch(train) [29][2240/2505] lr: 5.0000e-04 eta: 20:08:30 time: 0.9853 data_time: 0.0388 memory: 32703 grad_norm: 18.8601 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2592 loss: 1.2592 2022/07/30 10:19:28 - mmengine - INFO - Epoch(train) [29][2260/2505] lr: 5.0000e-04 eta: 20:08:10 time: 0.9610 data_time: 0.1325 memory: 32703 grad_norm: 19.3283 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3050 loss: 1.3050 2022/07/30 10:19:48 - mmengine - INFO - Epoch(train) [29][2280/2505] lr: 5.0000e-04 eta: 20:07:50 time: 0.9946 data_time: 0.0669 memory: 32703 grad_norm: 19.7701 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2450 loss: 1.2450 2022/07/30 10:20:08 - mmengine - INFO - Epoch(train) [29][2300/2505] lr: 5.0000e-04 eta: 20:07:30 time: 1.0017 data_time: 0.1181 memory: 32703 grad_norm: 19.3855 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4481 loss: 1.4481 2022/07/30 10:20:28 - mmengine - INFO - Epoch(train) [29][2320/2505] lr: 5.0000e-04 eta: 20:07:10 time: 0.9765 data_time: 0.1102 memory: 32703 grad_norm: 20.2320 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4020 loss: 1.4020 2022/07/30 10:20:47 - mmengine - INFO - Epoch(train) [29][2340/2505] lr: 5.0000e-04 eta: 20:06:49 time: 0.9520 data_time: 0.0997 memory: 32703 grad_norm: 19.7045 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2524 loss: 1.2524 2022/07/30 10:21:07 - mmengine - INFO - Epoch(train) [29][2360/2505] lr: 5.0000e-04 eta: 20:06:30 time: 1.0193 data_time: 0.2295 memory: 32703 grad_norm: 18.4995 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5852 loss: 1.5852 2022/07/30 10:21:25 - mmengine - INFO - Epoch(train) [29][2380/2505] lr: 5.0000e-04 eta: 20:06:08 time: 0.8907 data_time: 0.2216 memory: 32703 grad_norm: 19.0961 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1726 loss: 1.1726 2022/07/30 10:21:46 - mmengine - INFO - Epoch(train) [29][2400/2505] lr: 5.0000e-04 eta: 20:05:49 time: 1.0580 data_time: 0.3504 memory: 32703 grad_norm: 18.9261 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3220 loss: 1.3220 2022/07/30 10:22:05 - mmengine - INFO - Epoch(train) [29][2420/2505] lr: 5.0000e-04 eta: 20:05:27 time: 0.9157 data_time: 0.2569 memory: 32703 grad_norm: 18.9756 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3004 loss: 1.3004 2022/07/30 10:22:26 - mmengine - INFO - Epoch(train) [29][2440/2505] lr: 5.0000e-04 eta: 20:05:09 time: 1.0879 data_time: 0.2211 memory: 32703 grad_norm: 18.5870 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3628 loss: 1.3628 2022/07/30 10:22:44 - mmengine - INFO - Epoch(train) [29][2460/2505] lr: 5.0000e-04 eta: 20:04:47 time: 0.8713 data_time: 0.1299 memory: 32703 grad_norm: 19.0200 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5136 loss: 1.5136 2022/07/30 10:23:04 - mmengine - INFO - Epoch(train) [29][2480/2505] lr: 5.0000e-04 eta: 20:04:27 time: 0.9880 data_time: 0.1752 memory: 32703 grad_norm: 18.7450 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4505 loss: 1.4505 2022/07/30 10:23:21 - mmengine - INFO - Epoch(train) [29][2500/2505] lr: 5.0000e-04 eta: 20:04:04 time: 0.8574 data_time: 0.1449 memory: 32703 grad_norm: 19.3625 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.3211 loss: 1.3211 2022/07/30 10:23:23 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 10:23:23 - mmengine - INFO - Epoch(train) [29][2505/2505] lr: 5.0000e-04 eta: 20:04:04 time: 0.7847 data_time: 0.1030 memory: 32703 grad_norm: 19.7939 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.4481 loss: 1.4481 2022/07/30 10:23:50 - mmengine - INFO - Epoch(train) [30][20/2505] lr: 5.0000e-04 eta: 20:03:41 time: 1.3156 data_time: 0.6997 memory: 32703 grad_norm: 19.2193 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3133 loss: 1.3133 2022/07/30 10:24:08 - mmengine - INFO - Epoch(train) [30][40/2505] lr: 5.0000e-04 eta: 20:03:20 time: 0.9313 data_time: 0.3069 memory: 32703 grad_norm: 19.2964 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3071 loss: 1.3071 2022/07/30 10:24:31 - mmengine - INFO - Epoch(train) [30][60/2505] lr: 5.0000e-04 eta: 20:03:02 time: 1.1095 data_time: 0.4155 memory: 32703 grad_norm: 18.6762 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5340 loss: 1.5340 2022/07/30 10:24:48 - mmengine - INFO - Epoch(train) [30][80/2505] lr: 5.0000e-04 eta: 20:02:40 time: 0.8870 data_time: 0.2567 memory: 32703 grad_norm: 20.0960 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4342 loss: 1.4342 2022/07/30 10:25:10 - mmengine - INFO - Epoch(train) [30][100/2505] lr: 5.0000e-04 eta: 20:02:22 time: 1.0797 data_time: 0.3353 memory: 32703 grad_norm: 19.3647 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6023 loss: 1.6023 2022/07/30 10:25:29 - mmengine - INFO - Epoch(train) [30][120/2505] lr: 5.0000e-04 eta: 20:02:01 time: 0.9398 data_time: 0.2292 memory: 32703 grad_norm: 19.4667 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5948 loss: 1.5948 2022/07/30 10:25:50 - mmengine - INFO - Epoch(train) [30][140/2505] lr: 5.0000e-04 eta: 20:01:42 time: 1.0440 data_time: 0.3395 memory: 32703 grad_norm: 19.5461 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4056 loss: 1.4056 2022/07/30 10:26:08 - mmengine - INFO - Epoch(train) [30][160/2505] lr: 5.0000e-04 eta: 20:01:21 time: 0.9267 data_time: 0.2091 memory: 32703 grad_norm: 18.2428 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3093 loss: 1.3093 2022/07/30 10:26:29 - mmengine - INFO - Epoch(train) [30][180/2505] lr: 5.0000e-04 eta: 20:01:02 time: 1.0344 data_time: 0.2666 memory: 32703 grad_norm: 19.3717 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3542 loss: 1.3542 2022/07/30 10:26:47 - mmengine - INFO - Epoch(train) [30][200/2505] lr: 5.0000e-04 eta: 20:00:41 time: 0.9257 data_time: 0.2033 memory: 32703 grad_norm: 18.5252 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2127 loss: 1.2127 2022/07/30 10:27:09 - mmengine - INFO - Epoch(train) [30][220/2505] lr: 5.0000e-04 eta: 20:00:22 time: 1.0817 data_time: 0.1830 memory: 32703 grad_norm: 19.8939 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4625 loss: 1.4625 2022/07/30 10:27:27 - mmengine - INFO - Epoch(train) [30][240/2505] lr: 5.0000e-04 eta: 20:00:01 time: 0.9050 data_time: 0.1039 memory: 32703 grad_norm: 19.0319 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3434 loss: 1.3434 2022/07/30 10:27:49 - mmengine - INFO - Epoch(train) [30][260/2505] lr: 5.0000e-04 eta: 19:59:43 time: 1.0812 data_time: 0.1287 memory: 32703 grad_norm: 19.5998 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2732 loss: 1.2732 2022/07/30 10:28:07 - mmengine - INFO - Epoch(train) [30][280/2505] lr: 5.0000e-04 eta: 19:59:21 time: 0.9308 data_time: 0.0866 memory: 32703 grad_norm: 19.3821 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3068 loss: 1.3068 2022/07/30 10:28:28 - mmengine - INFO - Epoch(train) [30][300/2505] lr: 5.0000e-04 eta: 19:59:03 time: 1.0442 data_time: 0.1468 memory: 32703 grad_norm: 19.6085 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1149 loss: 1.1149 2022/07/30 10:28:47 - mmengine - INFO - Epoch(train) [30][320/2505] lr: 5.0000e-04 eta: 19:58:41 time: 0.9146 data_time: 0.1586 memory: 32703 grad_norm: 18.7591 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4598 loss: 1.4598 2022/07/30 10:29:08 - mmengine - INFO - Epoch(train) [30][340/2505] lr: 5.0000e-04 eta: 19:58:23 time: 1.0670 data_time: 0.2578 memory: 32703 grad_norm: 19.6970 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2835 loss: 1.2835 2022/07/30 10:29:23 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 10:29:26 - mmengine - INFO - Epoch(train) [30][360/2505] lr: 5.0000e-04 eta: 19:58:00 time: 0.8808 data_time: 0.1925 memory: 32703 grad_norm: 19.7411 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3332 loss: 1.3332 2022/07/30 10:29:47 - mmengine - INFO - Epoch(train) [30][380/2505] lr: 5.0000e-04 eta: 19:57:43 time: 1.0914 data_time: 0.3099 memory: 32703 grad_norm: 19.2736 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2212 loss: 1.2212 2022/07/30 10:30:05 - mmengine - INFO - Epoch(train) [30][400/2505] lr: 5.0000e-04 eta: 19:57:21 time: 0.8925 data_time: 0.1729 memory: 32703 grad_norm: 19.0970 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2665 loss: 1.2665 2022/07/30 10:30:28 - mmengine - INFO - Epoch(train) [30][420/2505] lr: 5.0000e-04 eta: 19:57:04 time: 1.1394 data_time: 0.2917 memory: 32703 grad_norm: 19.2562 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2645 loss: 1.2645 2022/07/30 10:30:47 - mmengine - INFO - Epoch(train) [30][440/2505] lr: 5.0000e-04 eta: 19:56:42 time: 0.9328 data_time: 0.1277 memory: 32703 grad_norm: 19.1516 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3656 loss: 1.3656 2022/07/30 10:31:07 - mmengine - INFO - Epoch(train) [30][460/2505] lr: 5.0000e-04 eta: 19:56:23 time: 1.0280 data_time: 0.2631 memory: 32703 grad_norm: 20.2428 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3404 loss: 1.3404 2022/07/30 10:31:25 - mmengine - INFO - Epoch(train) [30][480/2505] lr: 5.0000e-04 eta: 19:56:01 time: 0.8946 data_time: 0.2142 memory: 32703 grad_norm: 18.7079 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4550 loss: 1.4550 2022/07/30 10:31:47 - mmengine - INFO - Epoch(train) [30][500/2505] lr: 5.0000e-04 eta: 19:55:43 time: 1.0689 data_time: 0.2005 memory: 32703 grad_norm: 19.5732 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2655 loss: 1.2655 2022/07/30 10:32:05 - mmengine - INFO - Epoch(train) [30][520/2505] lr: 5.0000e-04 eta: 19:55:21 time: 0.8992 data_time: 0.1862 memory: 32703 grad_norm: 19.6672 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3400 loss: 1.3400 2022/07/30 10:32:26 - mmengine - INFO - Epoch(train) [30][540/2505] lr: 5.0000e-04 eta: 19:55:03 time: 1.0588 data_time: 0.3847 memory: 32703 grad_norm: 19.4111 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3355 loss: 1.3355 2022/07/30 10:32:44 - mmengine - INFO - Epoch(train) [30][560/2505] lr: 5.0000e-04 eta: 19:54:41 time: 0.9184 data_time: 0.3218 memory: 32703 grad_norm: 20.0185 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4790 loss: 1.4790 2022/07/30 10:33:05 - mmengine - INFO - Epoch(train) [30][580/2505] lr: 5.0000e-04 eta: 19:54:23 time: 1.0586 data_time: 0.4415 memory: 32703 grad_norm: 19.4525 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1804 loss: 1.1804 2022/07/30 10:33:24 - mmengine - INFO - Epoch(train) [30][600/2505] lr: 5.0000e-04 eta: 19:54:01 time: 0.9275 data_time: 0.3483 memory: 32703 grad_norm: 18.7509 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3956 loss: 1.3956 2022/07/30 10:33:45 - mmengine - INFO - Epoch(train) [30][620/2505] lr: 5.0000e-04 eta: 19:53:43 time: 1.0560 data_time: 0.4365 memory: 32703 grad_norm: 20.2783 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3293 loss: 1.3293 2022/07/30 10:34:03 - mmengine - INFO - Epoch(train) [30][640/2505] lr: 5.0000e-04 eta: 19:53:21 time: 0.9041 data_time: 0.3294 memory: 32703 grad_norm: 19.4473 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5353 loss: 1.5353 2022/07/30 10:34:24 - mmengine - INFO - Epoch(train) [30][660/2505] lr: 5.0000e-04 eta: 19:53:02 time: 1.0388 data_time: 0.3379 memory: 32703 grad_norm: 18.3790 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1954 loss: 1.1954 2022/07/30 10:34:42 - mmengine - INFO - Epoch(train) [30][680/2505] lr: 5.0000e-04 eta: 19:52:41 time: 0.9134 data_time: 0.3329 memory: 32703 grad_norm: 18.0223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2951 loss: 1.2951 2022/07/30 10:35:04 - mmengine - INFO - Epoch(train) [30][700/2505] lr: 5.0000e-04 eta: 19:52:23 time: 1.1016 data_time: 0.5171 memory: 32703 grad_norm: 18.9306 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3315 loss: 1.3315 2022/07/30 10:35:23 - mmengine - INFO - Epoch(train) [30][720/2505] lr: 5.0000e-04 eta: 19:52:02 time: 0.9388 data_time: 0.3642 memory: 32703 grad_norm: 18.9188 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3777 loss: 1.3777 2022/07/30 10:35:44 - mmengine - INFO - Epoch(train) [30][740/2505] lr: 5.0000e-04 eta: 19:51:43 time: 1.0559 data_time: 0.4463 memory: 32703 grad_norm: 19.6502 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3453 loss: 1.3453 2022/07/30 10:36:02 - mmengine - INFO - Epoch(train) [30][760/2505] lr: 5.0000e-04 eta: 19:51:22 time: 0.9112 data_time: 0.3367 memory: 32703 grad_norm: 19.7938 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4380 loss: 1.4380 2022/07/30 10:36:24 - mmengine - INFO - Epoch(train) [30][780/2505] lr: 5.0000e-04 eta: 19:51:03 time: 1.0701 data_time: 0.4583 memory: 32703 grad_norm: 18.3015 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3216 loss: 1.3216 2022/07/30 10:36:42 - mmengine - INFO - Epoch(train) [30][800/2505] lr: 5.0000e-04 eta: 19:50:42 time: 0.9192 data_time: 0.3068 memory: 32703 grad_norm: 18.6764 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 1.3129 loss: 1.3129 2022/07/30 10:37:03 - mmengine - INFO - Epoch(train) [30][820/2505] lr: 5.0000e-04 eta: 19:50:23 time: 1.0474 data_time: 0.4289 memory: 32703 grad_norm: 19.3500 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4411 loss: 1.4411 2022/07/30 10:37:21 - mmengine - INFO - Epoch(train) [30][840/2505] lr: 5.0000e-04 eta: 19:50:01 time: 0.9061 data_time: 0.3073 memory: 32703 grad_norm: 20.8331 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4366 loss: 1.4366 2022/07/30 10:37:42 - mmengine - INFO - Epoch(train) [30][860/2505] lr: 5.0000e-04 eta: 19:49:42 time: 1.0232 data_time: 0.4329 memory: 32703 grad_norm: 19.9470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2494 loss: 1.2494 2022/07/30 10:38:01 - mmengine - INFO - Epoch(train) [30][880/2505] lr: 5.0000e-04 eta: 19:49:21 time: 0.9585 data_time: 0.3515 memory: 32703 grad_norm: 19.4736 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4505 loss: 1.4505 2022/07/30 10:38:21 - mmengine - INFO - Epoch(train) [30][900/2505] lr: 5.0000e-04 eta: 19:49:02 time: 1.0017 data_time: 0.4241 memory: 32703 grad_norm: 19.3155 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1988 loss: 1.1988 2022/07/30 10:38:40 - mmengine - INFO - Epoch(train) [30][920/2505] lr: 5.0000e-04 eta: 19:48:42 time: 0.9815 data_time: 0.3913 memory: 32703 grad_norm: 19.0826 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4308 loss: 1.4308 2022/07/30 10:39:01 - mmengine - INFO - Epoch(train) [30][940/2505] lr: 5.0000e-04 eta: 19:48:22 time: 1.0055 data_time: 0.4306 memory: 32703 grad_norm: 18.8735 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3059 loss: 1.3059 2022/07/30 10:39:20 - mmengine - INFO - Epoch(train) [30][960/2505] lr: 5.0000e-04 eta: 19:48:01 time: 0.9647 data_time: 0.3542 memory: 32703 grad_norm: 20.6773 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.2587 loss: 1.2587 2022/07/30 10:39:41 - mmengine - INFO - Epoch(train) [30][980/2505] lr: 5.0000e-04 eta: 19:47:43 time: 1.0526 data_time: 0.4439 memory: 32703 grad_norm: 20.3560 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2519 loss: 1.2519 2022/07/30 10:39:59 - mmengine - INFO - Epoch(train) [30][1000/2505] lr: 5.0000e-04 eta: 19:47:21 time: 0.9204 data_time: 0.3237 memory: 32703 grad_norm: 19.2375 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2941 loss: 1.2941 2022/07/30 10:40:20 - mmengine - INFO - Epoch(train) [30][1020/2505] lr: 5.0000e-04 eta: 19:47:02 time: 1.0229 data_time: 0.4458 memory: 32703 grad_norm: 18.8075 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3680 loss: 1.3680 2022/07/30 10:40:38 - mmengine - INFO - Epoch(train) [30][1040/2505] lr: 5.0000e-04 eta: 19:46:41 time: 0.9275 data_time: 0.2578 memory: 32703 grad_norm: 18.9134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1519 loss: 1.1519 2022/07/30 10:41:00 - mmengine - INFO - Epoch(train) [30][1060/2505] lr: 5.0000e-04 eta: 19:46:22 time: 1.0655 data_time: 0.3287 memory: 32703 grad_norm: 19.2574 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.3729 loss: 1.3729 2022/07/30 10:41:18 - mmengine - INFO - Epoch(train) [30][1080/2505] lr: 5.0000e-04 eta: 19:46:01 time: 0.9000 data_time: 0.1933 memory: 32703 grad_norm: 19.6421 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5492 loss: 1.5492 2022/07/30 10:41:39 - mmengine - INFO - Epoch(train) [30][1100/2505] lr: 5.0000e-04 eta: 19:45:42 time: 1.0656 data_time: 0.2816 memory: 32703 grad_norm: 19.0830 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0635 loss: 1.0635 2022/07/30 10:41:57 - mmengine - INFO - Epoch(train) [30][1120/2505] lr: 5.0000e-04 eta: 19:45:20 time: 0.8745 data_time: 0.1922 memory: 32703 grad_norm: 19.5660 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1411 loss: 1.1411 2022/07/30 10:42:18 - mmengine - INFO - Epoch(train) [30][1140/2505] lr: 5.0000e-04 eta: 19:45:02 time: 1.0863 data_time: 0.4829 memory: 32703 grad_norm: 19.5861 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4131 loss: 1.4131 2022/07/30 10:42:36 - mmengine - INFO - Epoch(train) [30][1160/2505] lr: 5.0000e-04 eta: 19:44:39 time: 0.8707 data_time: 0.3006 memory: 32703 grad_norm: 18.8957 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4397 loss: 1.4397 2022/07/30 10:42:57 - mmengine - INFO - Epoch(train) [30][1180/2505] lr: 5.0000e-04 eta: 19:44:21 time: 1.0741 data_time: 0.4951 memory: 32703 grad_norm: 19.6527 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2964 loss: 1.2964 2022/07/30 10:43:15 - mmengine - INFO - Epoch(train) [30][1200/2505] lr: 5.0000e-04 eta: 19:43:59 time: 0.8812 data_time: 0.3001 memory: 32703 grad_norm: 19.4638 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3225 loss: 1.3225 2022/07/30 10:43:37 - mmengine - INFO - Epoch(train) [30][1220/2505] lr: 5.0000e-04 eta: 19:43:41 time: 1.0937 data_time: 0.4409 memory: 32703 grad_norm: 18.9768 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4597 loss: 1.4597 2022/07/30 10:43:55 - mmengine - INFO - Epoch(train) [30][1240/2505] lr: 5.0000e-04 eta: 19:43:20 time: 0.9386 data_time: 0.1875 memory: 32703 grad_norm: 19.1696 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2229 loss: 1.2229 2022/07/30 10:44:17 - mmengine - INFO - Epoch(train) [30][1260/2505] lr: 5.0000e-04 eta: 19:43:02 time: 1.0908 data_time: 0.0999 memory: 32703 grad_norm: 19.3914 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2177 loss: 1.2177 2022/07/30 10:44:35 - mmengine - INFO - Epoch(train) [30][1280/2505] lr: 5.0000e-04 eta: 19:42:40 time: 0.8892 data_time: 0.0296 memory: 32703 grad_norm: 18.4474 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3918 loss: 1.3918 2022/07/30 10:44:56 - mmengine - INFO - Epoch(train) [30][1300/2505] lr: 5.0000e-04 eta: 19:42:21 time: 1.0190 data_time: 0.0341 memory: 32703 grad_norm: 19.2504 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.1015 loss: 1.1015 2022/07/30 10:45:14 - mmengine - INFO - Epoch(train) [30][1320/2505] lr: 5.0000e-04 eta: 19:42:00 time: 0.9444 data_time: 0.0458 memory: 32703 grad_norm: 18.4093 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3391 loss: 1.3391 2022/07/30 10:45:36 - mmengine - INFO - Epoch(train) [30][1340/2505] lr: 5.0000e-04 eta: 19:41:42 time: 1.0785 data_time: 0.0287 memory: 32703 grad_norm: 19.0575 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1867 loss: 1.1867 2022/07/30 10:45:51 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 10:45:54 - mmengine - INFO - Epoch(train) [30][1360/2505] lr: 5.0000e-04 eta: 19:41:20 time: 0.8984 data_time: 0.0321 memory: 32703 grad_norm: 20.0232 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3662 loss: 1.3662 2022/07/30 10:46:15 - mmengine - INFO - Epoch(train) [30][1380/2505] lr: 5.0000e-04 eta: 19:41:01 time: 1.0424 data_time: 0.0279 memory: 32703 grad_norm: 18.1296 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4290 loss: 1.4290 2022/07/30 10:46:34 - mmengine - INFO - Epoch(train) [30][1400/2505] lr: 5.0000e-04 eta: 19:40:40 time: 0.9453 data_time: 0.0289 memory: 32703 grad_norm: 19.2453 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2819 loss: 1.2819 2022/07/30 10:46:55 - mmengine - INFO - Epoch(train) [30][1420/2505] lr: 5.0000e-04 eta: 19:40:22 time: 1.0781 data_time: 0.0334 memory: 32703 grad_norm: 19.3070 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3838 loss: 1.3838 2022/07/30 10:47:13 - mmengine - INFO - Epoch(train) [30][1440/2505] lr: 5.0000e-04 eta: 19:40:00 time: 0.8892 data_time: 0.0318 memory: 32703 grad_norm: 18.9150 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3478 loss: 1.3478 2022/07/30 10:47:34 - mmengine - INFO - Epoch(train) [30][1460/2505] lr: 5.0000e-04 eta: 19:39:41 time: 1.0262 data_time: 0.0297 memory: 32703 grad_norm: 19.3318 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2763 loss: 1.2763 2022/07/30 10:47:51 - mmengine - INFO - Epoch(train) [30][1480/2505] lr: 5.0000e-04 eta: 19:39:19 time: 0.8927 data_time: 0.0284 memory: 32703 grad_norm: 19.5307 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2966 loss: 1.2966 2022/07/30 10:48:13 - mmengine - INFO - Epoch(train) [30][1500/2505] lr: 5.0000e-04 eta: 19:39:00 time: 1.0569 data_time: 0.0330 memory: 32703 grad_norm: 18.5798 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3813 loss: 1.3813 2022/07/30 10:48:31 - mmengine - INFO - Epoch(train) [30][1520/2505] lr: 5.0000e-04 eta: 19:38:39 time: 0.9032 data_time: 0.0277 memory: 32703 grad_norm: 19.8259 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3642 loss: 1.3642 2022/07/30 10:48:52 - mmengine - INFO - Epoch(train) [30][1540/2505] lr: 5.0000e-04 eta: 19:38:20 time: 1.0736 data_time: 0.0319 memory: 32703 grad_norm: 18.2670 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4038 loss: 1.4038 2022/07/30 10:49:11 - mmengine - INFO - Epoch(train) [30][1560/2505] lr: 5.0000e-04 eta: 19:37:59 time: 0.9352 data_time: 0.0314 memory: 32703 grad_norm: 19.4622 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4111 loss: 1.4111 2022/07/30 10:49:33 - mmengine - INFO - Epoch(train) [30][1580/2505] lr: 5.0000e-04 eta: 19:37:41 time: 1.0941 data_time: 0.0313 memory: 32703 grad_norm: 19.0661 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2546 loss: 1.2546 2022/07/30 10:49:50 - mmengine - INFO - Epoch(train) [30][1600/2505] lr: 5.0000e-04 eta: 19:37:19 time: 0.8712 data_time: 0.0256 memory: 32703 grad_norm: 19.9816 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1979 loss: 1.1979 2022/07/30 10:50:13 - mmengine - INFO - Epoch(train) [30][1620/2505] lr: 5.0000e-04 eta: 19:37:01 time: 1.1142 data_time: 0.0313 memory: 32703 grad_norm: 19.0890 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1756 loss: 1.1756 2022/07/30 10:50:30 - mmengine - INFO - Epoch(train) [30][1640/2505] lr: 5.0000e-04 eta: 19:36:40 time: 0.8962 data_time: 0.0329 memory: 32703 grad_norm: 19.4277 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.1967 loss: 1.1967 2022/07/30 10:50:52 - mmengine - INFO - Epoch(train) [30][1660/2505] lr: 5.0000e-04 eta: 19:36:21 time: 1.0616 data_time: 0.0353 memory: 32703 grad_norm: 18.7531 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7247 loss: 1.7247 2022/07/30 10:51:10 - mmengine - INFO - Epoch(train) [30][1680/2505] lr: 5.0000e-04 eta: 19:36:00 time: 0.9157 data_time: 0.0285 memory: 32703 grad_norm: 17.9398 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2849 loss: 1.2849 2022/07/30 10:51:29 - mmengine - INFO - Epoch(train) [30][1700/2505] lr: 5.0000e-04 eta: 19:35:39 time: 0.9615 data_time: 0.0465 memory: 32703 grad_norm: 19.0537 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4067 loss: 1.4067 2022/07/30 10:51:48 - mmengine - INFO - Epoch(train) [30][1720/2505] lr: 5.0000e-04 eta: 19:35:18 time: 0.9226 data_time: 0.0308 memory: 32703 grad_norm: 18.5716 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2686 loss: 1.2686 2022/07/30 10:52:08 - mmengine - INFO - Epoch(train) [30][1740/2505] lr: 5.0000e-04 eta: 19:34:58 time: 0.9997 data_time: 0.0308 memory: 32703 grad_norm: 19.4275 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4308 loss: 1.4308 2022/07/30 10:52:27 - mmengine - INFO - Epoch(train) [30][1760/2505] lr: 5.0000e-04 eta: 19:34:37 time: 0.9486 data_time: 0.0997 memory: 32703 grad_norm: 18.5257 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5350 loss: 1.5350 2022/07/30 10:52:50 - mmengine - INFO - Epoch(train) [30][1780/2505] lr: 5.0000e-04 eta: 19:34:21 time: 1.1816 data_time: 0.0884 memory: 32703 grad_norm: 19.6272 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5705 loss: 1.5705 2022/07/30 10:53:07 - mmengine - INFO - Epoch(train) [30][1800/2505] lr: 5.0000e-04 eta: 19:33:58 time: 0.8522 data_time: 0.0308 memory: 32703 grad_norm: 18.3711 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4618 loss: 1.4618 2022/07/30 10:53:28 - mmengine - INFO - Epoch(train) [30][1820/2505] lr: 5.0000e-04 eta: 19:33:39 time: 1.0420 data_time: 0.0255 memory: 32703 grad_norm: 19.7644 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1838 loss: 1.1838 2022/07/30 10:53:47 - mmengine - INFO - Epoch(train) [30][1840/2505] lr: 5.0000e-04 eta: 19:33:19 time: 0.9415 data_time: 0.0267 memory: 32703 grad_norm: 19.5644 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9954 loss: 0.9954 2022/07/30 10:54:08 - mmengine - INFO - Epoch(train) [30][1860/2505] lr: 5.0000e-04 eta: 19:33:00 time: 1.0544 data_time: 0.0257 memory: 32703 grad_norm: 19.3836 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5297 loss: 1.5297 2022/07/30 10:54:26 - mmengine - INFO - Epoch(train) [30][1880/2505] lr: 5.0000e-04 eta: 19:32:38 time: 0.8968 data_time: 0.0278 memory: 32703 grad_norm: 18.7967 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3003 loss: 1.3003 2022/07/30 10:54:49 - mmengine - INFO - Epoch(train) [30][1900/2505] lr: 5.0000e-04 eta: 19:32:21 time: 1.1462 data_time: 0.0263 memory: 32703 grad_norm: 18.6535 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2850 loss: 1.2850 2022/07/30 10:55:05 - mmengine - INFO - Epoch(train) [30][1920/2505] lr: 5.0000e-04 eta: 19:31:58 time: 0.8208 data_time: 0.0242 memory: 32703 grad_norm: 18.8914 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3454 loss: 1.3454 2022/07/30 10:55:27 - mmengine - INFO - Epoch(train) [30][1940/2505] lr: 5.0000e-04 eta: 19:31:40 time: 1.1004 data_time: 0.0267 memory: 32703 grad_norm: 19.1007 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5263 loss: 1.5263 2022/07/30 10:55:45 - mmengine - INFO - Epoch(train) [30][1960/2505] lr: 5.0000e-04 eta: 19:31:18 time: 0.8855 data_time: 0.0275 memory: 32703 grad_norm: 18.6708 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3056 loss: 1.3056 2022/07/30 10:56:07 - mmengine - INFO - Epoch(train) [30][1980/2505] lr: 5.0000e-04 eta: 19:31:00 time: 1.0996 data_time: 0.0265 memory: 32703 grad_norm: 18.3831 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3500 loss: 1.3500 2022/07/30 10:56:25 - mmengine - INFO - Epoch(train) [30][2000/2505] lr: 5.0000e-04 eta: 19:30:38 time: 0.8877 data_time: 0.0269 memory: 32703 grad_norm: 18.6794 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3213 loss: 1.3213 2022/07/30 10:56:46 - mmengine - INFO - Epoch(train) [30][2020/2505] lr: 5.0000e-04 eta: 19:30:20 time: 1.0627 data_time: 0.0306 memory: 32703 grad_norm: 18.5125 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2896 loss: 1.2896 2022/07/30 10:57:04 - mmengine - INFO - Epoch(train) [30][2040/2505] lr: 5.0000e-04 eta: 19:29:58 time: 0.9067 data_time: 0.0324 memory: 32703 grad_norm: 19.2784 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2054 loss: 1.2054 2022/07/30 10:57:26 - mmengine - INFO - Epoch(train) [30][2060/2505] lr: 5.0000e-04 eta: 19:29:40 time: 1.0774 data_time: 0.0297 memory: 32703 grad_norm: 19.4507 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4420 loss: 1.4420 2022/07/30 10:57:44 - mmengine - INFO - Epoch(train) [30][2080/2505] lr: 5.0000e-04 eta: 19:29:18 time: 0.9050 data_time: 0.0275 memory: 32703 grad_norm: 18.0623 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5094 loss: 1.5094 2022/07/30 10:58:04 - mmengine - INFO - Epoch(train) [30][2100/2505] lr: 5.0000e-04 eta: 19:28:59 time: 1.0093 data_time: 0.0289 memory: 32703 grad_norm: 19.3992 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4526 loss: 1.4526 2022/07/30 10:58:22 - mmengine - INFO - Epoch(train) [30][2120/2505] lr: 5.0000e-04 eta: 19:28:37 time: 0.9170 data_time: 0.0288 memory: 32703 grad_norm: 18.4441 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2868 loss: 1.2868 2022/07/30 10:58:43 - mmengine - INFO - Epoch(train) [30][2140/2505] lr: 5.0000e-04 eta: 19:28:18 time: 1.0487 data_time: 0.0327 memory: 32703 grad_norm: 19.1381 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3007 loss: 1.3007 2022/07/30 10:59:01 - mmengine - INFO - Epoch(train) [30][2160/2505] lr: 5.0000e-04 eta: 19:27:57 time: 0.8904 data_time: 0.0303 memory: 32703 grad_norm: 19.4660 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5607 loss: 1.5607 2022/07/30 10:59:23 - mmengine - INFO - Epoch(train) [30][2180/2505] lr: 5.0000e-04 eta: 19:27:38 time: 1.0785 data_time: 0.0347 memory: 32703 grad_norm: 18.9281 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1255 loss: 1.1255 2022/07/30 10:59:41 - mmengine - INFO - Epoch(train) [30][2200/2505] lr: 5.0000e-04 eta: 19:27:17 time: 0.9105 data_time: 0.0330 memory: 32703 grad_norm: 19.3535 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1728 loss: 1.1728 2022/07/30 11:00:02 - mmengine - INFO - Epoch(train) [30][2220/2505] lr: 5.0000e-04 eta: 19:26:58 time: 1.0554 data_time: 0.0319 memory: 32703 grad_norm: 18.9523 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4186 loss: 1.4186 2022/07/30 11:00:21 - mmengine - INFO - Epoch(train) [30][2240/2505] lr: 5.0000e-04 eta: 19:26:37 time: 0.9218 data_time: 0.0311 memory: 32703 grad_norm: 19.7100 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2652 loss: 1.2652 2022/07/30 11:00:42 - mmengine - INFO - Epoch(train) [30][2260/2505] lr: 5.0000e-04 eta: 19:26:19 time: 1.0969 data_time: 0.0350 memory: 32703 grad_norm: 18.7287 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1951 loss: 1.1951 2022/07/30 11:01:00 - mmengine - INFO - Epoch(train) [30][2280/2505] lr: 5.0000e-04 eta: 19:25:57 time: 0.8851 data_time: 0.0299 memory: 32703 grad_norm: 19.3927 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.5074 loss: 1.5074 2022/07/30 11:01:21 - mmengine - INFO - Epoch(train) [30][2300/2505] lr: 5.0000e-04 eta: 19:25:38 time: 1.0570 data_time: 0.0281 memory: 32703 grad_norm: 19.2559 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3502 loss: 1.3502 2022/07/30 11:01:39 - mmengine - INFO - Epoch(train) [30][2320/2505] lr: 5.0000e-04 eta: 19:25:16 time: 0.8598 data_time: 0.0273 memory: 32703 grad_norm: 19.4482 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3599 loss: 1.3599 2022/07/30 11:02:00 - mmengine - INFO - Epoch(train) [30][2340/2505] lr: 5.0000e-04 eta: 19:24:58 time: 1.0786 data_time: 0.0297 memory: 32703 grad_norm: 18.9513 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3584 loss: 1.3584 2022/07/30 11:02:15 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 11:02:18 - mmengine - INFO - Epoch(train) [30][2360/2505] lr: 5.0000e-04 eta: 19:24:36 time: 0.8922 data_time: 0.0292 memory: 32703 grad_norm: 20.5689 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5154 loss: 1.5154 2022/07/30 11:02:39 - mmengine - INFO - Epoch(train) [30][2380/2505] lr: 5.0000e-04 eta: 19:24:17 time: 1.0395 data_time: 0.0245 memory: 32703 grad_norm: 20.0442 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3463 loss: 1.3463 2022/07/30 11:02:57 - mmengine - INFO - Epoch(train) [30][2400/2505] lr: 5.0000e-04 eta: 19:23:56 time: 0.9336 data_time: 0.0274 memory: 32703 grad_norm: 20.3979 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3974 loss: 1.3974 2022/07/30 11:03:19 - mmengine - INFO - Epoch(train) [30][2420/2505] lr: 5.0000e-04 eta: 19:23:37 time: 1.0735 data_time: 0.0259 memory: 32703 grad_norm: 19.4540 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3524 loss: 1.3524 2022/07/30 11:03:37 - mmengine - INFO - Epoch(train) [30][2440/2505] lr: 5.0000e-04 eta: 19:23:16 time: 0.8969 data_time: 0.0283 memory: 32703 grad_norm: 19.4011 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6266 loss: 1.6266 2022/07/30 11:03:58 - mmengine - INFO - Epoch(train) [30][2460/2505] lr: 5.0000e-04 eta: 19:22:57 time: 1.0570 data_time: 0.0273 memory: 32703 grad_norm: 19.4016 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5091 loss: 1.5091 2022/07/30 11:04:15 - mmengine - INFO - Epoch(train) [30][2480/2505] lr: 5.0000e-04 eta: 19:22:35 time: 0.8648 data_time: 0.0259 memory: 32703 grad_norm: 18.8321 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4637 loss: 1.4637 2022/07/30 11:04:33 - mmengine - INFO - Epoch(train) [30][2500/2505] lr: 5.0000e-04 eta: 19:22:13 time: 0.9062 data_time: 0.0365 memory: 32703 grad_norm: 19.7696 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1442 loss: 1.1442 2022/07/30 11:04:36 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 11:04:36 - mmengine - INFO - Epoch(train) [30][2505/2505] lr: 5.0000e-04 eta: 19:22:13 time: 0.7038 data_time: 0.0241 memory: 32703 grad_norm: 20.6696 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3154 loss: 1.3154 2022/07/30 11:04:36 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/07/30 11:04:40 - mmengine - INFO - Epoch(val) [30][20/2475] eta: 0:04:12 time: 0.1029 data_time: 0.0692 memory: 817 2022/07/30 11:04:42 - mmengine - INFO - Epoch(val) [30][40/2475] eta: 0:02:41 time: 0.0664 data_time: 0.0338 memory: 817 2022/07/30 11:04:43 - mmengine - INFO - Epoch(val) [30][60/2475] eta: 0:03:38 time: 0.0903 data_time: 0.0593 memory: 817 2022/07/30 11:04:45 - mmengine - INFO - Epoch(val) [30][80/2475] eta: 0:02:58 time: 0.0745 data_time: 0.0441 memory: 817 2022/07/30 11:04:47 - mmengine - INFO - Epoch(val) [30][100/2475] eta: 0:03:38 time: 0.0921 data_time: 0.0576 memory: 817 2022/07/30 11:04:48 - mmengine - INFO - Epoch(val) [30][120/2475] eta: 0:02:33 time: 0.0653 data_time: 0.0333 memory: 817 2022/07/30 11:04:50 - mmengine - INFO - Epoch(val) [30][140/2475] eta: 0:03:30 time: 0.0903 data_time: 0.0585 memory: 817 2022/07/30 11:04:51 - mmengine - INFO - Epoch(val) [30][160/2475] eta: 0:02:50 time: 0.0735 data_time: 0.0424 memory: 817 2022/07/30 11:04:53 - mmengine - INFO - Epoch(val) [30][180/2475] eta: 0:03:17 time: 0.0859 data_time: 0.0545 memory: 817 2022/07/30 11:04:55 - mmengine - INFO - Epoch(val) [30][200/2475] eta: 0:02:59 time: 0.0790 data_time: 0.0464 memory: 817 2022/07/30 11:04:56 - mmengine - INFO - Epoch(val) [30][220/2475] eta: 0:02:58 time: 0.0793 data_time: 0.0482 memory: 817 2022/07/30 11:04:58 - mmengine - INFO - Epoch(val) [30][240/2475] eta: 0:02:49 time: 0.0760 data_time: 0.0456 memory: 817 2022/07/30 11:05:00 - mmengine - INFO - Epoch(val) [30][260/2475] eta: 0:03:32 time: 0.0959 data_time: 0.0598 memory: 817 2022/07/30 11:05:01 - mmengine - INFO - Epoch(val) [30][280/2475] eta: 0:02:33 time: 0.0699 data_time: 0.0386 memory: 817 2022/07/30 11:05:03 - mmengine - INFO - Epoch(val) [30][300/2475] eta: 0:03:26 time: 0.0948 data_time: 0.0639 memory: 817 2022/07/30 11:05:05 - mmengine - INFO - Epoch(val) [30][320/2475] eta: 0:02:37 time: 0.0729 data_time: 0.0423 memory: 817 2022/07/30 11:05:06 - mmengine - INFO - Epoch(val) [30][340/2475] eta: 0:03:05 time: 0.0871 data_time: 0.0546 memory: 817 2022/07/30 11:05:08 - mmengine - INFO - Epoch(val) [30][360/2475] eta: 0:03:03 time: 0.0868 data_time: 0.0551 memory: 817 2022/07/30 11:05:10 - mmengine - INFO - Epoch(val) [30][380/2475] eta: 0:02:56 time: 0.0841 data_time: 0.0536 memory: 817 2022/07/30 11:05:11 - mmengine - INFO - Epoch(val) [30][400/2475] eta: 0:02:22 time: 0.0686 data_time: 0.0353 memory: 817 2022/07/30 11:05:13 - mmengine - INFO - Epoch(val) [30][420/2475] eta: 0:02:58 time: 0.0866 data_time: 0.0524 memory: 817 2022/07/30 11:05:14 - mmengine - INFO - Epoch(val) [30][440/2475] eta: 0:02:21 time: 0.0693 data_time: 0.0381 memory: 817 2022/07/30 11:05:16 - mmengine - INFO - Epoch(val) [30][460/2475] eta: 0:02:48 time: 0.0836 data_time: 0.0522 memory: 817 2022/07/30 11:05:17 - mmengine - INFO - Epoch(val) [30][480/2475] eta: 0:02:39 time: 0.0797 data_time: 0.0475 memory: 817 2022/07/30 11:05:19 - mmengine - INFO - Epoch(val) [30][500/2475] eta: 0:02:50 time: 0.0863 data_time: 0.0534 memory: 817 2022/07/30 11:05:21 - mmengine - INFO - Epoch(val) [30][520/2475] eta: 0:02:37 time: 0.0808 data_time: 0.0473 memory: 817 2022/07/30 11:05:22 - mmengine - INFO - Epoch(val) [30][540/2475] eta: 0:02:28 time: 0.0768 data_time: 0.0463 memory: 817 2022/07/30 11:05:24 - mmengine - INFO - Epoch(val) [30][560/2475] eta: 0:02:02 time: 0.0637 data_time: 0.0327 memory: 817 2022/07/30 11:05:26 - mmengine - INFO - Epoch(val) [30][580/2475] eta: 0:03:02 time: 0.0964 data_time: 0.0654 memory: 817 2022/07/30 11:05:27 - mmengine - INFO - Epoch(val) [30][600/2475] eta: 0:02:44 time: 0.0878 data_time: 0.0567 memory: 817 2022/07/30 11:05:29 - mmengine - INFO - Epoch(val) [30][620/2475] eta: 0:02:21 time: 0.0762 data_time: 0.0450 memory: 817 2022/07/30 11:05:30 - mmengine - INFO - Epoch(val) [30][640/2475] eta: 0:02:19 time: 0.0761 data_time: 0.0440 memory: 817 2022/07/30 11:05:32 - mmengine - INFO - Epoch(val) [30][660/2475] eta: 0:02:56 time: 0.0973 data_time: 0.0658 memory: 817 2022/07/30 11:05:34 - mmengine - INFO - Epoch(val) [30][680/2475] eta: 0:02:13 time: 0.0746 data_time: 0.0394 memory: 817 2022/07/30 11:05:36 - mmengine - INFO - Epoch(val) [30][700/2475] eta: 0:02:31 time: 0.0854 data_time: 0.0533 memory: 817 2022/07/30 11:05:37 - mmengine - INFO - Epoch(val) [30][720/2475] eta: 0:02:02 time: 0.0698 data_time: 0.0366 memory: 817 2022/07/30 11:05:39 - mmengine - INFO - Epoch(val) [30][740/2475] eta: 0:02:31 time: 0.0875 data_time: 0.0543 memory: 817 2022/07/30 11:05:40 - mmengine - INFO - Epoch(val) [30][760/2475] eta: 0:02:07 time: 0.0746 data_time: 0.0411 memory: 817 2022/07/30 11:05:42 - mmengine - INFO - Epoch(val) [30][780/2475] eta: 0:02:25 time: 0.0859 data_time: 0.0533 memory: 817 2022/07/30 11:05:43 - mmengine - INFO - Epoch(val) [30][800/2475] eta: 0:02:05 time: 0.0751 data_time: 0.0424 memory: 817 2022/07/30 11:05:45 - mmengine - INFO - Epoch(val) [30][820/2475] eta: 0:02:25 time: 0.0879 data_time: 0.0567 memory: 817 2022/07/30 11:05:47 - mmengine - INFO - Epoch(val) [30][840/2475] eta: 0:02:02 time: 0.0751 data_time: 0.0438 memory: 817 2022/07/30 11:05:48 - mmengine - INFO - Epoch(val) [30][860/2475] eta: 0:02:20 time: 0.0870 data_time: 0.0559 memory: 817 2022/07/30 11:05:50 - mmengine - INFO - Epoch(val) [30][880/2475] eta: 0:02:01 time: 0.0762 data_time: 0.0454 memory: 817 2022/07/30 11:05:52 - mmengine - INFO - Epoch(val) [30][900/2475] eta: 0:02:20 time: 0.0894 data_time: 0.0584 memory: 817 2022/07/30 11:05:53 - mmengine - INFO - Epoch(val) [30][920/2475] eta: 0:01:39 time: 0.0641 data_time: 0.0331 memory: 817 2022/07/30 11:05:55 - mmengine - INFO - Epoch(val) [30][940/2475] eta: 0:02:22 time: 0.0929 data_time: 0.0630 memory: 817 2022/07/30 11:05:56 - mmengine - INFO - Epoch(val) [30][960/2475] eta: 0:01:45 time: 0.0696 data_time: 0.0386 memory: 817 2022/07/30 11:05:58 - mmengine - INFO - Epoch(val) [30][980/2475] eta: 0:02:03 time: 0.0828 data_time: 0.0514 memory: 817 2022/07/30 11:05:59 - mmengine - INFO - Epoch(val) [30][1000/2475] eta: 0:01:55 time: 0.0785 data_time: 0.0480 memory: 817 2022/07/30 11:06:01 - mmengine - INFO - Epoch(val) [30][1020/2475] eta: 0:02:13 time: 0.0918 data_time: 0.0617 memory: 817 2022/07/30 11:06:03 - mmengine - INFO - Epoch(val) [30][1040/2475] eta: 0:01:50 time: 0.0767 data_time: 0.0452 memory: 817 2022/07/30 11:06:05 - mmengine - INFO - Epoch(val) [30][1060/2475] eta: 0:02:06 time: 0.0892 data_time: 0.0572 memory: 817 2022/07/30 11:06:06 - mmengine - INFO - Epoch(val) [30][1080/2475] eta: 0:01:36 time: 0.0693 data_time: 0.0378 memory: 817 2022/07/30 11:06:08 - mmengine - INFO - Epoch(val) [30][1100/2475] eta: 0:01:55 time: 0.0843 data_time: 0.0516 memory: 817 2022/07/30 11:06:09 - mmengine - INFO - Epoch(val) [30][1120/2475] eta: 0:01:43 time: 0.0764 data_time: 0.0458 memory: 817 2022/07/30 11:06:11 - mmengine - INFO - Epoch(val) [30][1140/2475] eta: 0:02:11 time: 0.0982 data_time: 0.0665 memory: 817 2022/07/30 11:06:13 - mmengine - INFO - Epoch(val) [30][1160/2475] eta: 0:01:50 time: 0.0839 data_time: 0.0529 memory: 817 2022/07/30 11:06:15 - mmengine - INFO - Epoch(val) [30][1180/2475] eta: 0:02:04 time: 0.0960 data_time: 0.0657 memory: 817 2022/07/30 11:06:16 - mmengine - INFO - Epoch(val) [30][1200/2475] eta: 0:01:33 time: 0.0732 data_time: 0.0414 memory: 817 2022/07/30 11:06:18 - mmengine - INFO - Epoch(val) [30][1220/2475] eta: 0:01:36 time: 0.0772 data_time: 0.0428 memory: 817 2022/07/30 11:06:20 - mmengine - INFO - Epoch(val) [30][1240/2475] eta: 0:01:54 time: 0.0926 data_time: 0.0412 memory: 817 2022/07/30 11:06:21 - mmengine - INFO - Epoch(val) [30][1260/2475] eta: 0:01:35 time: 0.0782 data_time: 0.0423 memory: 817 2022/07/30 11:06:23 - mmengine - INFO - Epoch(val) [30][1280/2475] eta: 0:01:29 time: 0.0748 data_time: 0.0428 memory: 817 2022/07/30 11:06:24 - mmengine - INFO - Epoch(val) [30][1300/2475] eta: 0:01:33 time: 0.0798 data_time: 0.0466 memory: 817 2022/07/30 11:06:26 - mmengine - INFO - Epoch(val) [30][1320/2475] eta: 0:01:15 time: 0.0655 data_time: 0.0340 memory: 817 2022/07/30 11:06:28 - mmengine - INFO - Epoch(val) [30][1340/2475] eta: 0:01:45 time: 0.0931 data_time: 0.0605 memory: 817 2022/07/30 11:06:29 - mmengine - INFO - Epoch(val) [30][1360/2475] eta: 0:01:18 time: 0.0701 data_time: 0.0378 memory: 817 2022/07/30 11:06:31 - mmengine - INFO - Epoch(val) [30][1380/2475] eta: 0:01:47 time: 0.0986 data_time: 0.0673 memory: 817 2022/07/30 11:06:32 - mmengine - INFO - Epoch(val) [30][1400/2475] eta: 0:01:12 time: 0.0674 data_time: 0.0361 memory: 817 2022/07/30 11:06:34 - mmengine - INFO - Epoch(val) [30][1420/2475] eta: 0:01:37 time: 0.0922 data_time: 0.0618 memory: 817 2022/07/30 11:06:35 - mmengine - INFO - Epoch(val) [30][1440/2475] eta: 0:01:10 time: 0.0683 data_time: 0.0377 memory: 817 2022/07/30 11:06:37 - mmengine - INFO - Epoch(val) [30][1460/2475] eta: 0:01:36 time: 0.0949 data_time: 0.0630 memory: 817 2022/07/30 11:06:39 - mmengine - INFO - Epoch(val) [30][1480/2475] eta: 0:01:08 time: 0.0689 data_time: 0.0379 memory: 817 2022/07/30 11:06:41 - mmengine - INFO - Epoch(val) [30][1500/2475] eta: 0:01:34 time: 0.0968 data_time: 0.0657 memory: 817 2022/07/30 11:06:42 - mmengine - INFO - Epoch(val) [30][1520/2475] eta: 0:01:12 time: 0.0755 data_time: 0.0457 memory: 817 2022/07/30 11:06:44 - mmengine - INFO - Epoch(val) [30][1540/2475] eta: 0:01:20 time: 0.0865 data_time: 0.0560 memory: 817 2022/07/30 11:06:45 - mmengine - INFO - Epoch(val) [30][1560/2475] eta: 0:01:01 time: 0.0672 data_time: 0.0366 memory: 817 2022/07/30 11:06:47 - mmengine - INFO - Epoch(val) [30][1580/2475] eta: 0:01:19 time: 0.0891 data_time: 0.0587 memory: 817 2022/07/30 11:06:49 - mmengine - INFO - Epoch(val) [30][1600/2475] eta: 0:01:33 time: 0.1070 data_time: 0.0727 memory: 817 2022/07/30 11:06:51 - mmengine - INFO - Epoch(val) [30][1620/2475] eta: 0:01:03 time: 0.0741 data_time: 0.0432 memory: 817 2022/07/30 11:06:52 - mmengine - INFO - Epoch(val) [30][1640/2475] eta: 0:01:02 time: 0.0750 data_time: 0.0438 memory: 817 2022/07/30 11:06:54 - mmengine - INFO - Epoch(val) [30][1660/2475] eta: 0:01:00 time: 0.0746 data_time: 0.0424 memory: 817 2022/07/30 11:06:55 - mmengine - INFO - Epoch(val) [30][1680/2475] eta: 0:01:08 time: 0.0861 data_time: 0.0559 memory: 817 2022/07/30 11:06:57 - mmengine - INFO - Epoch(val) [30][1700/2475] eta: 0:00:54 time: 0.0708 data_time: 0.0386 memory: 817 2022/07/30 11:06:58 - mmengine - INFO - Epoch(val) [30][1720/2475] eta: 0:00:54 time: 0.0718 data_time: 0.0386 memory: 817 2022/07/30 11:07:00 - mmengine - INFO - Epoch(val) [30][1740/2475] eta: 0:00:49 time: 0.0671 data_time: 0.0343 memory: 817 2022/07/30 11:07:02 - mmengine - INFO - Epoch(val) [30][1760/2475] eta: 0:01:11 time: 0.1002 data_time: 0.0698 memory: 817 2022/07/30 11:07:03 - mmengine - INFO - Epoch(val) [30][1780/2475] eta: 0:00:50 time: 0.0720 data_time: 0.0403 memory: 817 2022/07/30 11:07:05 - mmengine - INFO - Epoch(val) [30][1800/2475] eta: 0:00:59 time: 0.0888 data_time: 0.0569 memory: 817 2022/07/30 11:07:06 - mmengine - INFO - Epoch(val) [30][1820/2475] eta: 0:00:44 time: 0.0679 data_time: 0.0355 memory: 817 2022/07/30 11:07:08 - mmengine - INFO - Epoch(val) [30][1840/2475] eta: 0:01:00 time: 0.0948 data_time: 0.0630 memory: 817 2022/07/30 11:07:09 - mmengine - INFO - Epoch(val) [30][1860/2475] eta: 0:00:41 time: 0.0674 data_time: 0.0360 memory: 817 2022/07/30 11:07:11 - mmengine - INFO - Epoch(val) [30][1880/2475] eta: 0:00:56 time: 0.0947 data_time: 0.0639 memory: 817 2022/07/30 11:07:13 - mmengine - INFO - Epoch(val) [30][1900/2475] eta: 0:00:40 time: 0.0705 data_time: 0.0395 memory: 817 2022/07/30 11:07:14 - mmengine - INFO - Epoch(val) [30][1920/2475] eta: 0:00:45 time: 0.0828 data_time: 0.0504 memory: 817 2022/07/30 11:07:16 - mmengine - INFO - Epoch(val) [30][1940/2475] eta: 0:00:31 time: 0.0596 data_time: 0.0283 memory: 817 2022/07/30 11:07:18 - mmengine - INFO - Epoch(val) [30][1960/2475] eta: 0:00:50 time: 0.0990 data_time: 0.0687 memory: 817 2022/07/30 11:07:19 - mmengine - INFO - Epoch(val) [30][1980/2475] eta: 0:00:39 time: 0.0807 data_time: 0.0445 memory: 817 2022/07/30 11:07:21 - mmengine - INFO - Epoch(val) [30][2000/2475] eta: 0:00:36 time: 0.0778 data_time: 0.0445 memory: 817 2022/07/30 11:07:22 - mmengine - INFO - Epoch(val) [30][2020/2475] eta: 0:00:34 time: 0.0751 data_time: 0.0440 memory: 817 2022/07/30 11:07:24 - mmengine - INFO - Epoch(val) [30][2040/2475] eta: 0:00:39 time: 0.0900 data_time: 0.0586 memory: 817 2022/07/30 11:07:26 - mmengine - INFO - Epoch(val) [30][2060/2475] eta: 0:00:28 time: 0.0689 data_time: 0.0378 memory: 817 2022/07/30 11:07:27 - mmengine - INFO - Epoch(val) [30][2080/2475] eta: 0:00:30 time: 0.0769 data_time: 0.0450 memory: 817 2022/07/30 11:07:29 - mmengine - INFO - Epoch(val) [30][2100/2475] eta: 0:00:33 time: 0.0880 data_time: 0.0573 memory: 817 2022/07/30 11:07:30 - mmengine - INFO - Epoch(val) [30][2120/2475] eta: 0:00:27 time: 0.0777 data_time: 0.0425 memory: 817 2022/07/30 11:07:32 - mmengine - INFO - Epoch(val) [30][2140/2475] eta: 0:00:25 time: 0.0764 data_time: 0.0457 memory: 817 2022/07/30 11:07:33 - mmengine - INFO - Epoch(val) [30][2160/2475] eta: 0:00:23 time: 0.0731 data_time: 0.0418 memory: 817 2022/07/30 11:07:35 - mmengine - INFO - Epoch(val) [30][2180/2475] eta: 0:00:23 time: 0.0809 data_time: 0.0507 memory: 817 2022/07/30 11:07:37 - mmengine - INFO - Epoch(val) [30][2200/2475] eta: 0:00:23 time: 0.0870 data_time: 0.0559 memory: 817 2022/07/30 11:07:39 - mmengine - INFO - Epoch(val) [30][2220/2475] eta: 0:00:22 time: 0.0892 data_time: 0.0583 memory: 817 2022/07/30 11:07:40 - mmengine - INFO - Epoch(val) [30][2240/2475] eta: 0:00:20 time: 0.0878 data_time: 0.0503 memory: 817 2022/07/30 11:07:42 - mmengine - INFO - Epoch(val) [30][2260/2475] eta: 0:00:16 time: 0.0789 data_time: 0.0480 memory: 817 2022/07/30 11:07:43 - mmengine - INFO - Epoch(val) [30][2280/2475] eta: 0:00:14 time: 0.0742 data_time: 0.0440 memory: 817 2022/07/30 11:07:45 - mmengine - INFO - Epoch(val) [30][2300/2475] eta: 0:00:14 time: 0.0813 data_time: 0.0489 memory: 817 2022/07/30 11:07:47 - mmengine - INFO - Epoch(val) [30][2320/2475] eta: 0:00:13 time: 0.0856 data_time: 0.0533 memory: 817 2022/07/30 11:07:48 - mmengine - INFO - Epoch(val) [30][2340/2475] eta: 0:00:09 time: 0.0684 data_time: 0.0377 memory: 817 2022/07/30 11:07:50 - mmengine - INFO - Epoch(val) [30][2360/2475] eta: 0:00:10 time: 0.0903 data_time: 0.0587 memory: 817 2022/07/30 11:07:51 - mmengine - INFO - Epoch(val) [30][2380/2475] eta: 0:00:07 time: 0.0790 data_time: 0.0482 memory: 817 2022/07/30 11:07:53 - mmengine - INFO - Epoch(val) [30][2400/2475] eta: 0:00:05 time: 0.0759 data_time: 0.0429 memory: 817 2022/07/30 11:07:55 - mmengine - INFO - Epoch(val) [30][2420/2475] eta: 0:00:05 time: 0.0975 data_time: 0.0673 memory: 817 2022/07/30 11:07:56 - mmengine - INFO - Epoch(val) [30][2440/2475] eta: 0:00:02 time: 0.0658 data_time: 0.0318 memory: 817 2022/07/30 11:07:58 - mmengine - INFO - Epoch(val) [30][2460/2475] eta: 0:00:01 time: 0.0728 data_time: 0.0424 memory: 817 2022/07/30 11:08:00 - mmengine - INFO - Epoch(val) [30][2475/2475] acc/top1: 0.7136 acc/top5: 0.8944 acc/mean1: 0.7135 2022/07/30 11:08:00 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_28.pth is removed 2022/07/30 11:08:03 - mmengine - INFO - The best checkpoint with 0.7136 acc/top1 at 31 epoch is saved to best_acc/top1_epoch_31.pth. 2022/07/30 11:08:29 - mmengine - INFO - Epoch(train) [31][20/2505] lr: 5.0000e-04 eta: 19:21:49 time: 1.2893 data_time: 0.7057 memory: 32703 grad_norm: 19.6093 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2207 loss: 1.2207 2022/07/30 11:08:47 - mmengine - INFO - Epoch(train) [31][40/2505] lr: 5.0000e-04 eta: 19:21:27 time: 0.8872 data_time: 0.3189 memory: 32703 grad_norm: 19.4190 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4120 loss: 1.4120 2022/07/30 11:09:08 - mmengine - INFO - Epoch(train) [31][60/2505] lr: 5.0000e-04 eta: 19:21:09 time: 1.0588 data_time: 0.4723 memory: 32703 grad_norm: 19.4315 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1754 loss: 1.1754 2022/07/30 11:09:26 - mmengine - INFO - Epoch(train) [31][80/2505] lr: 5.0000e-04 eta: 19:20:47 time: 0.8903 data_time: 0.2658 memory: 32703 grad_norm: 18.6400 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3764 loss: 1.3764 2022/07/30 11:09:48 - mmengine - INFO - Epoch(train) [31][100/2505] lr: 5.0000e-04 eta: 19:20:28 time: 1.0823 data_time: 0.3668 memory: 32703 grad_norm: 19.4869 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1190 loss: 1.1190 2022/07/30 11:10:06 - mmengine - INFO - Epoch(train) [31][120/2505] lr: 5.0000e-04 eta: 19:20:07 time: 0.9355 data_time: 0.1689 memory: 32703 grad_norm: 19.4054 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4693 loss: 1.4693 2022/07/30 11:10:27 - mmengine - INFO - Epoch(train) [31][140/2505] lr: 5.0000e-04 eta: 19:19:49 time: 1.0507 data_time: 0.1780 memory: 32703 grad_norm: 19.6334 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2173 loss: 1.2173 2022/07/30 11:10:45 - mmengine - INFO - Epoch(train) [31][160/2505] lr: 5.0000e-04 eta: 19:19:27 time: 0.8842 data_time: 0.2169 memory: 32703 grad_norm: 18.5435 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3087 loss: 1.3087 2022/07/30 11:11:07 - mmengine - INFO - Epoch(train) [31][180/2505] lr: 5.0000e-04 eta: 19:19:08 time: 1.0713 data_time: 0.4096 memory: 32703 grad_norm: 18.9996 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2092 loss: 1.2092 2022/07/30 11:11:24 - mmengine - INFO - Epoch(train) [31][200/2505] lr: 5.0000e-04 eta: 19:18:47 time: 0.8961 data_time: 0.2722 memory: 32703 grad_norm: 19.7484 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2952 loss: 1.2952 2022/07/30 11:11:46 - mmengine - INFO - Epoch(train) [31][220/2505] lr: 5.0000e-04 eta: 19:18:28 time: 1.0793 data_time: 0.3209 memory: 32703 grad_norm: 18.6080 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.2796 loss: 1.2796 2022/07/30 11:12:05 - mmengine - INFO - Epoch(train) [31][240/2505] lr: 5.0000e-04 eta: 19:18:07 time: 0.9208 data_time: 0.2846 memory: 32703 grad_norm: 19.6789 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3419 loss: 1.3419 2022/07/30 11:12:26 - mmengine - INFO - Epoch(train) [31][260/2505] lr: 5.0000e-04 eta: 19:17:48 time: 1.0574 data_time: 0.3463 memory: 32703 grad_norm: 18.2605 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4091 loss: 1.4091 2022/07/30 11:12:44 - mmengine - INFO - Epoch(train) [31][280/2505] lr: 5.0000e-04 eta: 19:17:27 time: 0.8958 data_time: 0.1499 memory: 32703 grad_norm: 18.4726 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.3896 loss: 1.3896 2022/07/30 11:13:05 - mmengine - INFO - Epoch(train) [31][300/2505] lr: 5.0000e-04 eta: 19:17:08 time: 1.0599 data_time: 0.1776 memory: 32703 grad_norm: 18.5293 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3918 loss: 1.3918 2022/07/30 11:13:23 - mmengine - INFO - Epoch(train) [31][320/2505] lr: 5.0000e-04 eta: 19:16:47 time: 0.9179 data_time: 0.1657 memory: 32703 grad_norm: 20.3260 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3687 loss: 1.3687 2022/07/30 11:13:45 - mmengine - INFO - Epoch(train) [31][340/2505] lr: 5.0000e-04 eta: 19:16:29 time: 1.0936 data_time: 0.1936 memory: 32703 grad_norm: 20.0426 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4462 loss: 1.4462 2022/07/30 11:14:03 - mmengine - INFO - Epoch(train) [31][360/2505] lr: 5.0000e-04 eta: 19:16:07 time: 0.8981 data_time: 0.1129 memory: 32703 grad_norm: 18.8163 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4440 loss: 1.4440 2022/07/30 11:14:24 - mmengine - INFO - Epoch(train) [31][380/2505] lr: 5.0000e-04 eta: 19:15:48 time: 1.0617 data_time: 0.1875 memory: 32703 grad_norm: 18.5842 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3492 loss: 1.3492 2022/07/30 11:14:42 - mmengine - INFO - Epoch(train) [31][400/2505] lr: 5.0000e-04 eta: 19:15:27 time: 0.8954 data_time: 0.1712 memory: 32703 grad_norm: 19.6821 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4831 loss: 1.4831 2022/07/30 11:15:03 - mmengine - INFO - Epoch(train) [31][420/2505] lr: 5.0000e-04 eta: 19:15:08 time: 1.0507 data_time: 0.3637 memory: 32703 grad_norm: 18.9365 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3619 loss: 1.3619 2022/07/30 11:15:22 - mmengine - INFO - Epoch(train) [31][440/2505] lr: 5.0000e-04 eta: 19:14:47 time: 0.9684 data_time: 0.2828 memory: 32703 grad_norm: 18.5916 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4248 loss: 1.4248 2022/07/30 11:15:43 - mmengine - INFO - Epoch(train) [31][460/2505] lr: 5.0000e-04 eta: 19:14:28 time: 1.0421 data_time: 0.3871 memory: 32703 grad_norm: 18.1011 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2398 loss: 1.2398 2022/07/30 11:16:02 - mmengine - INFO - Epoch(train) [31][480/2505] lr: 5.0000e-04 eta: 19:14:07 time: 0.9252 data_time: 0.2405 memory: 32703 grad_norm: 18.1010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3070 loss: 1.3070 2022/07/30 11:16:23 - mmengine - INFO - Epoch(train) [31][500/2505] lr: 5.0000e-04 eta: 19:13:49 time: 1.0677 data_time: 0.1310 memory: 32703 grad_norm: 20.0599 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2101 loss: 1.2101 2022/07/30 11:16:41 - mmengine - INFO - Epoch(train) [31][520/2505] lr: 5.0000e-04 eta: 19:13:27 time: 0.8782 data_time: 0.1064 memory: 32703 grad_norm: 18.6906 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.2750 loss: 1.2750 2022/07/30 11:17:02 - mmengine - INFO - Epoch(train) [31][540/2505] lr: 5.0000e-04 eta: 19:13:08 time: 1.0346 data_time: 0.2216 memory: 32703 grad_norm: 18.9311 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2123 loss: 1.2123 2022/07/30 11:17:20 - mmengine - INFO - Epoch(train) [31][560/2505] lr: 5.0000e-04 eta: 19:12:46 time: 0.9104 data_time: 0.2138 memory: 32703 grad_norm: 18.1445 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3036 loss: 1.3036 2022/07/30 11:17:41 - mmengine - INFO - Epoch(train) [31][580/2505] lr: 5.0000e-04 eta: 19:12:28 time: 1.0680 data_time: 0.3580 memory: 32703 grad_norm: 18.3913 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1973 loss: 1.1973 2022/07/30 11:17:59 - mmengine - INFO - Epoch(train) [31][600/2505] lr: 5.0000e-04 eta: 19:12:06 time: 0.9204 data_time: 0.2322 memory: 32703 grad_norm: 18.3963 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.4541 loss: 1.4541 2022/07/30 11:18:21 - mmengine - INFO - Epoch(train) [31][620/2505] lr: 5.0000e-04 eta: 19:11:48 time: 1.0587 data_time: 0.3270 memory: 32703 grad_norm: 18.5688 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.3792 loss: 1.3792 2022/07/30 11:18:39 - mmengine - INFO - Epoch(train) [31][640/2505] lr: 5.0000e-04 eta: 19:11:27 time: 0.9346 data_time: 0.1554 memory: 32703 grad_norm: 18.9401 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8029 loss: 1.8029 2022/07/30 11:19:02 - mmengine - INFO - Epoch(train) [31][660/2505] lr: 5.0000e-04 eta: 19:11:09 time: 1.1202 data_time: 0.1241 memory: 32703 grad_norm: 19.2986 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6516 loss: 1.6516 2022/07/30 11:19:20 - mmengine - INFO - Epoch(train) [31][680/2505] lr: 5.0000e-04 eta: 19:10:48 time: 0.9022 data_time: 0.0271 memory: 32703 grad_norm: 19.7329 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1926 loss: 1.1926 2022/07/30 11:19:41 - mmengine - INFO - Epoch(train) [31][700/2505] lr: 5.0000e-04 eta: 19:10:29 time: 1.0581 data_time: 0.0276 memory: 32703 grad_norm: 19.7556 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1625 loss: 1.1625 2022/07/30 11:19:59 - mmengine - INFO - Epoch(train) [31][720/2505] lr: 5.0000e-04 eta: 19:10:07 time: 0.9048 data_time: 0.0277 memory: 32703 grad_norm: 19.1003 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4523 loss: 1.4523 2022/07/30 11:20:21 - mmengine - INFO - Epoch(train) [31][740/2505] lr: 5.0000e-04 eta: 19:09:49 time: 1.1006 data_time: 0.0277 memory: 32703 grad_norm: 19.1911 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3912 loss: 1.3912 2022/07/30 11:20:39 - mmengine - INFO - Epoch(train) [31][760/2505] lr: 5.0000e-04 eta: 19:09:28 time: 0.8823 data_time: 0.0284 memory: 32703 grad_norm: 18.7151 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3087 loss: 1.3087 2022/07/30 11:21:00 - mmengine - INFO - Epoch(train) [31][780/2505] lr: 5.0000e-04 eta: 19:09:09 time: 1.0451 data_time: 0.0271 memory: 32703 grad_norm: 19.5319 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1654 loss: 1.1654 2022/07/30 11:21:18 - mmengine - INFO - Epoch(train) [31][800/2505] lr: 5.0000e-04 eta: 19:08:47 time: 0.9111 data_time: 0.0267 memory: 32703 grad_norm: 19.2458 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2843 loss: 1.2843 2022/07/30 11:21:38 - mmengine - INFO - Epoch(train) [31][820/2505] lr: 5.0000e-04 eta: 19:08:28 time: 1.0246 data_time: 0.0270 memory: 32703 grad_norm: 18.5630 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2858 loss: 1.2858 2022/07/30 11:21:56 - mmengine - INFO - Epoch(train) [31][840/2505] lr: 5.0000e-04 eta: 19:08:06 time: 0.9043 data_time: 0.0263 memory: 32703 grad_norm: 19.1065 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2347 loss: 1.2347 2022/07/30 11:22:10 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 11:22:18 - mmengine - INFO - Epoch(train) [31][860/2505] lr: 5.0000e-04 eta: 19:07:48 time: 1.1030 data_time: 0.0284 memory: 32703 grad_norm: 18.9459 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2845 loss: 1.2845 2022/07/30 11:22:37 - mmengine - INFO - Epoch(train) [31][880/2505] lr: 5.0000e-04 eta: 19:07:28 time: 0.9502 data_time: 0.0275 memory: 32703 grad_norm: 18.7485 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3499 loss: 1.3499 2022/07/30 11:22:58 - mmengine - INFO - Epoch(train) [31][900/2505] lr: 5.0000e-04 eta: 19:07:09 time: 1.0454 data_time: 0.0283 memory: 32703 grad_norm: 19.3330 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0937 loss: 1.0937 2022/07/30 11:23:17 - mmengine - INFO - Epoch(train) [31][920/2505] lr: 5.0000e-04 eta: 19:06:48 time: 0.9167 data_time: 0.0283 memory: 32703 grad_norm: 19.2399 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.1172 loss: 1.1172 2022/07/30 11:23:37 - mmengine - INFO - Epoch(train) [31][940/2505] lr: 5.0000e-04 eta: 19:06:28 time: 1.0162 data_time: 0.0313 memory: 32703 grad_norm: 18.7273 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3483 loss: 1.3483 2022/07/30 11:23:55 - mmengine - INFO - Epoch(train) [31][960/2505] lr: 5.0000e-04 eta: 19:06:07 time: 0.9075 data_time: 0.0280 memory: 32703 grad_norm: 19.8189 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3321 loss: 1.3321 2022/07/30 11:24:16 - mmengine - INFO - Epoch(train) [31][980/2505] lr: 5.0000e-04 eta: 19:05:48 time: 1.0513 data_time: 0.0286 memory: 32703 grad_norm: 18.3842 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2685 loss: 1.2685 2022/07/30 11:24:34 - mmengine - INFO - Epoch(train) [31][1000/2505] lr: 5.0000e-04 eta: 19:05:26 time: 0.8644 data_time: 0.0278 memory: 32703 grad_norm: 19.3530 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0702 loss: 1.0702 2022/07/30 11:24:55 - mmengine - INFO - Epoch(train) [31][1020/2505] lr: 5.0000e-04 eta: 19:05:07 time: 1.0632 data_time: 0.0283 memory: 32703 grad_norm: 18.9391 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4260 loss: 1.4260 2022/07/30 11:25:14 - mmengine - INFO - Epoch(train) [31][1040/2505] lr: 5.0000e-04 eta: 19:04:46 time: 0.9371 data_time: 0.0274 memory: 32703 grad_norm: 19.8033 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3462 loss: 1.3462 2022/07/30 11:25:34 - mmengine - INFO - Epoch(train) [31][1060/2505] lr: 5.0000e-04 eta: 19:04:27 time: 1.0279 data_time: 0.0278 memory: 32703 grad_norm: 19.7643 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3641 loss: 1.3641 2022/07/30 11:25:53 - mmengine - INFO - Epoch(train) [31][1080/2505] lr: 5.0000e-04 eta: 19:04:06 time: 0.9618 data_time: 0.0279 memory: 32703 grad_norm: 18.8896 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2213 loss: 1.2213 2022/07/30 11:26:12 - mmengine - INFO - Epoch(train) [31][1100/2505] lr: 5.0000e-04 eta: 19:03:46 time: 0.9460 data_time: 0.0472 memory: 32703 grad_norm: 19.4789 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7151 loss: 1.7151 2022/07/30 11:26:33 - mmengine - INFO - Epoch(train) [31][1120/2505] lr: 5.0000e-04 eta: 19:03:26 time: 1.0343 data_time: 0.1462 memory: 32703 grad_norm: 18.2214 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3808 loss: 1.3808 2022/07/30 11:26:52 - mmengine - INFO - Epoch(train) [31][1140/2505] lr: 5.0000e-04 eta: 19:03:06 time: 0.9698 data_time: 0.0968 memory: 32703 grad_norm: 18.8664 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1432 loss: 1.1432 2022/07/30 11:27:12 - mmengine - INFO - Epoch(train) [31][1160/2505] lr: 5.0000e-04 eta: 19:02:46 time: 0.9826 data_time: 0.1382 memory: 32703 grad_norm: 19.7561 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2196 loss: 1.2196 2022/07/30 11:27:33 - mmengine - INFO - Epoch(train) [31][1180/2505] lr: 5.0000e-04 eta: 19:02:27 time: 1.0371 data_time: 0.1409 memory: 32703 grad_norm: 19.6839 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2079 loss: 1.2079 2022/07/30 11:27:52 - mmengine - INFO - Epoch(train) [31][1200/2505] lr: 5.0000e-04 eta: 19:02:06 time: 0.9639 data_time: 0.0292 memory: 32703 grad_norm: 18.9089 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4002 loss: 1.4002 2022/07/30 11:28:12 - mmengine - INFO - Epoch(train) [31][1220/2505] lr: 5.0000e-04 eta: 19:01:47 time: 1.0073 data_time: 0.0261 memory: 32703 grad_norm: 19.2966 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3782 loss: 1.3782 2022/07/30 11:28:31 - mmengine - INFO - Epoch(train) [31][1240/2505] lr: 5.0000e-04 eta: 19:01:26 time: 0.9406 data_time: 0.1050 memory: 32703 grad_norm: 19.6524 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2379 loss: 1.2379 2022/07/30 11:28:50 - mmengine - INFO - Epoch(train) [31][1260/2505] lr: 5.0000e-04 eta: 19:01:05 time: 0.9466 data_time: 0.0375 memory: 32703 grad_norm: 19.8093 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.5579 loss: 1.5579 2022/07/30 11:29:13 - mmengine - INFO - Epoch(train) [31][1280/2505] lr: 5.0000e-04 eta: 19:00:48 time: 1.1489 data_time: 0.0331 memory: 32703 grad_norm: 18.9383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3230 loss: 1.3230 2022/07/30 11:29:30 - mmengine - INFO - Epoch(train) [31][1300/2505] lr: 5.0000e-04 eta: 19:00:25 time: 0.8365 data_time: 0.0398 memory: 32703 grad_norm: 19.2762 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.2892 loss: 1.2892 2022/07/30 11:29:50 - mmengine - INFO - Epoch(train) [31][1320/2505] lr: 5.0000e-04 eta: 19:00:06 time: 1.0313 data_time: 0.0498 memory: 32703 grad_norm: 17.9013 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4888 loss: 1.4888 2022/07/30 11:30:09 - mmengine - INFO - Epoch(train) [31][1340/2505] lr: 5.0000e-04 eta: 18:59:45 time: 0.9329 data_time: 0.0321 memory: 32703 grad_norm: 18.5619 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3622 loss: 1.3622 2022/07/30 11:30:30 - mmengine - INFO - Epoch(train) [31][1360/2505] lr: 5.0000e-04 eta: 18:59:27 time: 1.0590 data_time: 0.0274 memory: 32703 grad_norm: 19.4145 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3235 loss: 1.3235 2022/07/30 11:30:49 - mmengine - INFO - Epoch(train) [31][1380/2505] lr: 5.0000e-04 eta: 18:59:05 time: 0.9231 data_time: 0.0321 memory: 32703 grad_norm: 18.9951 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6708 loss: 1.6708 2022/07/30 11:31:09 - mmengine - INFO - Epoch(train) [31][1400/2505] lr: 5.0000e-04 eta: 18:58:46 time: 1.0086 data_time: 0.1283 memory: 32703 grad_norm: 19.4708 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2326 loss: 1.2326 2022/07/30 11:31:31 - mmengine - INFO - Epoch(train) [31][1420/2505] lr: 5.0000e-04 eta: 18:58:28 time: 1.0854 data_time: 0.4071 memory: 32703 grad_norm: 18.7954 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3178 loss: 1.3178 2022/07/30 11:31:56 - mmengine - INFO - Epoch(train) [31][1440/2505] lr: 5.0000e-04 eta: 18:58:13 time: 1.2845 data_time: 0.0440 memory: 32703 grad_norm: 18.8094 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5126 loss: 1.5126 2022/07/30 11:32:15 - mmengine - INFO - Epoch(train) [31][1460/2505] lr: 5.0000e-04 eta: 18:57:52 time: 0.9307 data_time: 0.0325 memory: 32703 grad_norm: 19.1929 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2424 loss: 1.2424 2022/07/30 11:32:32 - mmengine - INFO - Epoch(train) [31][1480/2505] lr: 5.0000e-04 eta: 18:57:29 time: 0.8448 data_time: 0.0268 memory: 32703 grad_norm: 18.4487 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3053 loss: 1.3053 2022/07/30 11:32:52 - mmengine - INFO - Epoch(train) [31][1500/2505] lr: 5.0000e-04 eta: 18:57:10 time: 1.0042 data_time: 0.0332 memory: 32703 grad_norm: 19.6182 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5340 loss: 1.5340 2022/07/30 11:33:11 - mmengine - INFO - Epoch(train) [31][1520/2505] lr: 5.0000e-04 eta: 18:56:49 time: 0.9488 data_time: 0.0289 memory: 32703 grad_norm: 20.0251 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4915 loss: 1.4915 2022/07/30 11:33:31 - mmengine - INFO - Epoch(train) [31][1540/2505] lr: 5.0000e-04 eta: 18:56:29 time: 1.0136 data_time: 0.0300 memory: 32703 grad_norm: 18.7179 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3866 loss: 1.3866 2022/07/30 11:33:50 - mmengine - INFO - Epoch(train) [31][1560/2505] lr: 5.0000e-04 eta: 18:56:08 time: 0.9195 data_time: 0.0334 memory: 32703 grad_norm: 18.8422 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.2682 loss: 1.2682 2022/07/30 11:34:11 - mmengine - INFO - Epoch(train) [31][1580/2505] lr: 5.0000e-04 eta: 18:55:50 time: 1.0876 data_time: 0.0372 memory: 32703 grad_norm: 18.6833 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2275 loss: 1.2275 2022/07/30 11:34:30 - mmengine - INFO - Epoch(train) [31][1600/2505] lr: 5.0000e-04 eta: 18:55:29 time: 0.9262 data_time: 0.0396 memory: 32703 grad_norm: 19.4530 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3083 loss: 1.3083 2022/07/30 11:34:50 - mmengine - INFO - Epoch(train) [31][1620/2505] lr: 5.0000e-04 eta: 18:55:09 time: 1.0139 data_time: 0.0278 memory: 32703 grad_norm: 18.3903 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3078 loss: 1.3078 2022/07/30 11:35:09 - mmengine - INFO - Epoch(train) [31][1640/2505] lr: 5.0000e-04 eta: 18:54:48 time: 0.9297 data_time: 0.0363 memory: 32703 grad_norm: 20.1165 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2656 loss: 1.2656 2022/07/30 11:35:29 - mmengine - INFO - Epoch(train) [31][1660/2505] lr: 5.0000e-04 eta: 18:54:29 time: 1.0371 data_time: 0.0314 memory: 32703 grad_norm: 19.0025 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2057 loss: 1.2057 2022/07/30 11:35:48 - mmengine - INFO - Epoch(train) [31][1680/2505] lr: 5.0000e-04 eta: 18:54:08 time: 0.9368 data_time: 0.0334 memory: 32703 grad_norm: 18.1477 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2724 loss: 1.2724 2022/07/30 11:36:10 - mmengine - INFO - Epoch(train) [31][1700/2505] lr: 5.0000e-04 eta: 18:53:50 time: 1.0688 data_time: 0.0275 memory: 32703 grad_norm: 18.4535 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2709 loss: 1.2709 2022/07/30 11:36:28 - mmengine - INFO - Epoch(train) [31][1720/2505] lr: 5.0000e-04 eta: 18:53:28 time: 0.9089 data_time: 0.0322 memory: 32703 grad_norm: 18.4024 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2791 loss: 1.2791 2022/07/30 11:36:50 - mmengine - INFO - Epoch(train) [31][1740/2505] lr: 5.0000e-04 eta: 18:53:10 time: 1.0893 data_time: 0.0306 memory: 32703 grad_norm: 18.7765 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4584 loss: 1.4584 2022/07/30 11:37:08 - mmengine - INFO - Epoch(train) [31][1760/2505] lr: 5.0000e-04 eta: 18:52:49 time: 0.9012 data_time: 0.0319 memory: 32703 grad_norm: 18.8205 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.4840 loss: 1.4840 2022/07/30 11:37:28 - mmengine - INFO - Epoch(train) [31][1780/2505] lr: 5.0000e-04 eta: 18:52:29 time: 1.0185 data_time: 0.0292 memory: 32703 grad_norm: 19.4417 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3128 loss: 1.3128 2022/07/30 11:37:46 - mmengine - INFO - Epoch(train) [31][1800/2505] lr: 5.0000e-04 eta: 18:52:08 time: 0.9095 data_time: 0.0316 memory: 32703 grad_norm: 19.2522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2219 loss: 1.2219 2022/07/30 11:38:06 - mmengine - INFO - Epoch(train) [31][1820/2505] lr: 5.0000e-04 eta: 18:51:48 time: 1.0087 data_time: 0.0306 memory: 32703 grad_norm: 19.5231 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4559 loss: 1.4559 2022/07/30 11:38:25 - mmengine - INFO - Epoch(train) [31][1840/2505] lr: 5.0000e-04 eta: 18:51:27 time: 0.9415 data_time: 0.0322 memory: 32703 grad_norm: 18.6903 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4999 loss: 1.4999 2022/07/30 11:38:34 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 11:38:46 - mmengine - INFO - Epoch(train) [31][1860/2505] lr: 5.0000e-04 eta: 18:51:08 time: 1.0507 data_time: 0.0327 memory: 32703 grad_norm: 19.1410 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2728 loss: 1.2728 2022/07/30 11:39:05 - mmengine - INFO - Epoch(train) [31][1880/2505] lr: 5.0000e-04 eta: 18:50:48 time: 0.9346 data_time: 0.0285 memory: 32703 grad_norm: 19.3275 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4308 loss: 1.4308 2022/07/30 11:39:26 - mmengine - INFO - Epoch(train) [31][1900/2505] lr: 5.0000e-04 eta: 18:50:29 time: 1.0535 data_time: 0.0340 memory: 32703 grad_norm: 18.5227 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3966 loss: 1.3966 2022/07/30 11:39:45 - mmengine - INFO - Epoch(train) [31][1920/2505] lr: 5.0000e-04 eta: 18:50:08 time: 0.9576 data_time: 0.0283 memory: 32703 grad_norm: 18.1195 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3938 loss: 1.3938 2022/07/30 11:40:06 - mmengine - INFO - Epoch(train) [31][1940/2505] lr: 5.0000e-04 eta: 18:49:49 time: 1.0261 data_time: 0.0299 memory: 32703 grad_norm: 19.0870 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1687 loss: 1.1687 2022/07/30 11:40:24 - mmengine - INFO - Epoch(train) [31][1960/2505] lr: 5.0000e-04 eta: 18:49:28 time: 0.9155 data_time: 0.0290 memory: 32703 grad_norm: 18.3310 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5092 loss: 1.5092 2022/07/30 11:40:44 - mmengine - INFO - Epoch(train) [31][1980/2505] lr: 5.0000e-04 eta: 18:49:08 time: 1.0158 data_time: 0.0268 memory: 32703 grad_norm: 18.7442 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0742 loss: 1.0742 2022/07/30 11:41:03 - mmengine - INFO - Epoch(train) [31][2000/2505] lr: 5.0000e-04 eta: 18:48:48 time: 0.9517 data_time: 0.0298 memory: 32703 grad_norm: 19.4802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3719 loss: 1.3719 2022/07/30 11:41:24 - mmengine - INFO - Epoch(train) [31][2020/2505] lr: 5.0000e-04 eta: 18:48:28 time: 1.0392 data_time: 0.0302 memory: 32703 grad_norm: 19.3042 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3537 loss: 1.3537 2022/07/30 11:41:43 - mmengine - INFO - Epoch(train) [31][2040/2505] lr: 5.0000e-04 eta: 18:48:07 time: 0.9331 data_time: 0.0275 memory: 32703 grad_norm: 19.2017 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4580 loss: 1.4580 2022/07/30 11:42:03 - mmengine - INFO - Epoch(train) [31][2060/2505] lr: 5.0000e-04 eta: 18:47:48 time: 1.0166 data_time: 0.0358 memory: 32703 grad_norm: 19.2660 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3300 loss: 1.3300 2022/07/30 11:42:22 - mmengine - INFO - Epoch(train) [31][2080/2505] lr: 5.0000e-04 eta: 18:47:27 time: 0.9344 data_time: 0.0287 memory: 32703 grad_norm: 19.1028 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2886 loss: 1.2886 2022/07/30 11:42:42 - mmengine - INFO - Epoch(train) [31][2100/2505] lr: 5.0000e-04 eta: 18:47:07 time: 1.0088 data_time: 0.0308 memory: 32703 grad_norm: 19.2340 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2358 loss: 1.2358 2022/07/30 11:43:01 - mmengine - INFO - Epoch(train) [31][2120/2505] lr: 5.0000e-04 eta: 18:46:46 time: 0.9309 data_time: 0.0308 memory: 32703 grad_norm: 20.1477 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2747 loss: 1.2747 2022/07/30 11:43:21 - mmengine - INFO - Epoch(train) [31][2140/2505] lr: 5.0000e-04 eta: 18:46:27 time: 1.0287 data_time: 0.0296 memory: 32703 grad_norm: 17.9719 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4278 loss: 1.4278 2022/07/30 11:43:41 - mmengine - INFO - Epoch(train) [31][2160/2505] lr: 5.0000e-04 eta: 18:46:07 time: 0.9793 data_time: 0.0315 memory: 32703 grad_norm: 19.4446 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4685 loss: 1.4685 2022/07/30 11:44:01 - mmengine - INFO - Epoch(train) [31][2180/2505] lr: 5.0000e-04 eta: 18:45:47 time: 0.9885 data_time: 0.0304 memory: 32703 grad_norm: 20.0132 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6043 loss: 1.6043 2022/07/30 11:44:20 - mmengine - INFO - Epoch(train) [31][2200/2505] lr: 5.0000e-04 eta: 18:45:27 time: 0.9973 data_time: 0.0272 memory: 32703 grad_norm: 18.2764 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5635 loss: 1.5635 2022/07/30 11:44:41 - mmengine - INFO - Epoch(train) [31][2220/2505] lr: 5.0000e-04 eta: 18:45:08 time: 1.0364 data_time: 0.0281 memory: 32703 grad_norm: 18.3942 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2712 loss: 1.2712 2022/07/30 11:45:00 - mmengine - INFO - Epoch(train) [31][2240/2505] lr: 5.0000e-04 eta: 18:44:47 time: 0.9335 data_time: 0.0279 memory: 32703 grad_norm: 18.8568 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5206 loss: 1.5206 2022/07/30 11:45:20 - mmengine - INFO - Epoch(train) [31][2260/2505] lr: 5.0000e-04 eta: 18:44:28 time: 1.0172 data_time: 0.0283 memory: 32703 grad_norm: 18.1566 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3499 loss: 1.3499 2022/07/30 11:45:39 - mmengine - INFO - Epoch(train) [31][2280/2505] lr: 5.0000e-04 eta: 18:44:07 time: 0.9511 data_time: 0.0247 memory: 32703 grad_norm: 18.9693 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2346 loss: 1.2346 2022/07/30 11:46:00 - mmengine - INFO - Epoch(train) [31][2300/2505] lr: 5.0000e-04 eta: 18:43:48 time: 1.0362 data_time: 0.0300 memory: 32703 grad_norm: 18.5721 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1737 loss: 1.1737 2022/07/30 11:46:19 - mmengine - INFO - Epoch(train) [31][2320/2505] lr: 5.0000e-04 eta: 18:43:27 time: 0.9435 data_time: 0.0318 memory: 32703 grad_norm: 19.4367 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5555 loss: 1.5555 2022/07/30 11:46:38 - mmengine - INFO - Epoch(train) [31][2340/2505] lr: 5.0000e-04 eta: 18:43:07 time: 0.9759 data_time: 0.0261 memory: 32703 grad_norm: 19.1683 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3336 loss: 1.3336 2022/07/30 11:46:58 - mmengine - INFO - Epoch(train) [31][2360/2505] lr: 5.0000e-04 eta: 18:42:47 time: 0.9753 data_time: 0.0285 memory: 32703 grad_norm: 18.6536 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2928 loss: 1.2928 2022/07/30 11:47:18 - mmengine - INFO - Epoch(train) [31][2380/2505] lr: 5.0000e-04 eta: 18:42:27 time: 0.9805 data_time: 0.0282 memory: 32703 grad_norm: 18.1551 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.2443 loss: 1.2443 2022/07/30 11:47:38 - mmengine - INFO - Epoch(train) [31][2400/2505] lr: 5.0000e-04 eta: 18:42:08 time: 1.0450 data_time: 0.0276 memory: 32703 grad_norm: 20.0777 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3368 loss: 1.3368 2022/07/30 11:47:57 - mmengine - INFO - Epoch(train) [31][2420/2505] lr: 5.0000e-04 eta: 18:41:47 time: 0.9419 data_time: 0.0281 memory: 32703 grad_norm: 19.0333 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1990 loss: 1.1990 2022/07/30 11:48:17 - mmengine - INFO - Epoch(train) [31][2440/2505] lr: 5.0000e-04 eta: 18:41:27 time: 0.9681 data_time: 0.0280 memory: 32703 grad_norm: 18.6933 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1289 loss: 1.1289 2022/07/30 11:48:36 - mmengine - INFO - Epoch(train) [31][2460/2505] lr: 5.0000e-04 eta: 18:41:06 time: 0.9702 data_time: 0.0287 memory: 32703 grad_norm: 19.0416 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3433 loss: 1.3433 2022/07/30 11:48:56 - mmengine - INFO - Epoch(train) [31][2480/2505] lr: 5.0000e-04 eta: 18:40:47 time: 1.0064 data_time: 0.0267 memory: 32703 grad_norm: 19.4189 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4125 loss: 1.4125 2022/07/30 11:49:13 - mmengine - INFO - Epoch(train) [31][2500/2505] lr: 5.0000e-04 eta: 18:40:24 time: 0.8450 data_time: 0.0267 memory: 32703 grad_norm: 19.6518 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2894 loss: 1.2894 2022/07/30 11:49:16 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 11:49:16 - mmengine - INFO - Epoch(train) [31][2505/2505] lr: 5.0000e-04 eta: 18:40:24 time: 0.7643 data_time: 0.0198 memory: 32703 grad_norm: 20.0641 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.3554 loss: 1.3554 2022/07/30 11:49:43 - mmengine - INFO - Epoch(train) [32][20/2505] lr: 5.0000e-04 eta: 18:40:01 time: 1.3329 data_time: 0.5088 memory: 32703 grad_norm: 19.5468 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2607 loss: 1.2607 2022/07/30 11:50:02 - mmengine - INFO - Epoch(train) [32][40/2505] lr: 5.0000e-04 eta: 18:39:41 time: 0.9738 data_time: 0.0907 memory: 32703 grad_norm: 19.7893 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.2966 loss: 1.2966 2022/07/30 11:50:24 - mmengine - INFO - Epoch(train) [32][60/2505] lr: 5.0000e-04 eta: 18:39:23 time: 1.1152 data_time: 0.0406 memory: 32703 grad_norm: 18.4037 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.4161 loss: 1.4161 2022/07/30 11:50:42 - mmengine - INFO - Epoch(train) [32][80/2505] lr: 5.0000e-04 eta: 18:39:01 time: 0.8623 data_time: 0.0328 memory: 32703 grad_norm: 18.7478 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6701 loss: 1.6701 2022/07/30 11:51:03 - mmengine - INFO - Epoch(train) [32][100/2505] lr: 5.0000e-04 eta: 18:38:42 time: 1.0674 data_time: 0.0269 memory: 32703 grad_norm: 18.7355 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0884 loss: 1.0884 2022/07/30 11:51:21 - mmengine - INFO - Epoch(train) [32][120/2505] lr: 5.0000e-04 eta: 18:38:21 time: 0.9087 data_time: 0.0293 memory: 32703 grad_norm: 19.9313 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2536 loss: 1.2536 2022/07/30 11:51:43 - mmengine - INFO - Epoch(train) [32][140/2505] lr: 5.0000e-04 eta: 18:38:03 time: 1.1128 data_time: 0.0319 memory: 32703 grad_norm: 18.5161 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3772 loss: 1.3772 2022/07/30 11:52:01 - mmengine - INFO - Epoch(train) [32][160/2505] lr: 5.0000e-04 eta: 18:37:42 time: 0.9035 data_time: 0.0290 memory: 32703 grad_norm: 19.0628 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3440 loss: 1.3440 2022/07/30 11:52:22 - mmengine - INFO - Epoch(train) [32][180/2505] lr: 5.0000e-04 eta: 18:37:23 time: 1.0433 data_time: 0.0307 memory: 32703 grad_norm: 18.4633 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2109 loss: 1.2109 2022/07/30 11:52:41 - mmengine - INFO - Epoch(train) [32][200/2505] lr: 5.0000e-04 eta: 18:37:01 time: 0.9145 data_time: 0.0278 memory: 32703 grad_norm: 19.9204 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2787 loss: 1.2787 2022/07/30 11:53:02 - mmengine - INFO - Epoch(train) [32][220/2505] lr: 5.0000e-04 eta: 18:36:43 time: 1.0872 data_time: 0.0294 memory: 32703 grad_norm: 18.5027 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2476 loss: 1.2476 2022/07/30 11:53:21 - mmengine - INFO - Epoch(train) [32][240/2505] lr: 5.0000e-04 eta: 18:36:22 time: 0.9137 data_time: 0.0276 memory: 32703 grad_norm: 18.3704 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3755 loss: 1.3755 2022/07/30 11:53:43 - mmengine - INFO - Epoch(train) [32][260/2505] lr: 5.0000e-04 eta: 18:36:04 time: 1.1003 data_time: 0.0298 memory: 32703 grad_norm: 19.9827 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0512 loss: 1.0512 2022/07/30 11:54:01 - mmengine - INFO - Epoch(train) [32][280/2505] lr: 5.0000e-04 eta: 18:35:43 time: 0.9184 data_time: 0.0271 memory: 32703 grad_norm: 18.5620 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1573 loss: 1.1573 2022/07/30 11:54:23 - mmengine - INFO - Epoch(train) [32][300/2505] lr: 5.0000e-04 eta: 18:35:24 time: 1.0832 data_time: 0.0318 memory: 32703 grad_norm: 19.2818 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7501 loss: 1.7501 2022/07/30 11:54:40 - mmengine - INFO - Epoch(train) [32][320/2505] lr: 5.0000e-04 eta: 18:35:02 time: 0.8734 data_time: 0.0297 memory: 32703 grad_norm: 18.5364 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3177 loss: 1.3177 2022/07/30 11:55:00 - mmengine - INFO - Epoch(train) [32][340/2505] lr: 5.0000e-04 eta: 18:34:43 time: 1.0104 data_time: 0.0303 memory: 32703 grad_norm: 19.9846 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3487 loss: 1.3487 2022/07/30 11:55:07 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 11:55:19 - mmengine - INFO - Epoch(train) [32][360/2505] lr: 5.0000e-04 eta: 18:34:22 time: 0.9391 data_time: 0.0308 memory: 32703 grad_norm: 19.2393 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1658 loss: 1.1658 2022/07/30 11:55:41 - mmengine - INFO - Epoch(train) [32][380/2505] lr: 5.0000e-04 eta: 18:34:03 time: 1.0771 data_time: 0.0291 memory: 32703 grad_norm: 18.9781 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3600 loss: 1.3600 2022/07/30 11:55:59 - mmengine - INFO - Epoch(train) [32][400/2505] lr: 5.0000e-04 eta: 18:33:42 time: 0.9201 data_time: 0.0263 memory: 32703 grad_norm: 18.4007 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2777 loss: 1.2777 2022/07/30 11:56:20 - mmengine - INFO - Epoch(train) [32][420/2505] lr: 5.0000e-04 eta: 18:33:23 time: 1.0539 data_time: 0.0346 memory: 32703 grad_norm: 20.0970 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3751 loss: 1.3751 2022/07/30 11:56:38 - mmengine - INFO - Epoch(train) [32][440/2505] lr: 5.0000e-04 eta: 18:33:02 time: 0.8863 data_time: 0.0256 memory: 32703 grad_norm: 19.5863 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3742 loss: 1.3742 2022/07/30 11:56:59 - mmengine - INFO - Epoch(train) [32][460/2505] lr: 5.0000e-04 eta: 18:32:42 time: 1.0329 data_time: 0.0318 memory: 32703 grad_norm: 18.7642 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1593 loss: 1.1593 2022/07/30 11:57:16 - mmengine - INFO - Epoch(train) [32][480/2505] lr: 5.0000e-04 eta: 18:32:21 time: 0.8751 data_time: 0.0314 memory: 32703 grad_norm: 18.1701 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3376 loss: 1.3376 2022/07/30 11:57:37 - mmengine - INFO - Epoch(train) [32][500/2505] lr: 5.0000e-04 eta: 18:32:02 time: 1.0642 data_time: 0.0306 memory: 32703 grad_norm: 18.2573 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9530 loss: 0.9530 2022/07/30 11:57:56 - mmengine - INFO - Epoch(train) [32][520/2505] lr: 5.0000e-04 eta: 18:31:41 time: 0.9182 data_time: 0.0281 memory: 32703 grad_norm: 19.8977 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4140 loss: 1.4140 2022/07/30 11:58:17 - mmengine - INFO - Epoch(train) [32][540/2505] lr: 5.0000e-04 eta: 18:31:22 time: 1.0565 data_time: 0.0340 memory: 32703 grad_norm: 18.6104 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2857 loss: 1.2857 2022/07/30 11:58:36 - mmengine - INFO - Epoch(train) [32][560/2505] lr: 5.0000e-04 eta: 18:31:01 time: 0.9620 data_time: 0.0344 memory: 32703 grad_norm: 19.4001 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2669 loss: 1.2669 2022/07/30 11:58:56 - mmengine - INFO - Epoch(train) [32][580/2505] lr: 5.0000e-04 eta: 18:30:42 time: 1.0107 data_time: 0.0722 memory: 32703 grad_norm: 18.3569 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2493 loss: 1.2493 2022/07/30 11:59:15 - mmengine - INFO - Epoch(train) [32][600/2505] lr: 5.0000e-04 eta: 18:30:21 time: 0.9164 data_time: 0.1207 memory: 32703 grad_norm: 19.4934 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.4887 loss: 1.4887 2022/07/30 11:59:36 - mmengine - INFO - Epoch(train) [32][620/2505] lr: 5.0000e-04 eta: 18:30:02 time: 1.0604 data_time: 0.0795 memory: 32703 grad_norm: 19.3083 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3673 loss: 1.3673 2022/07/30 11:59:54 - mmengine - INFO - Epoch(train) [32][640/2505] lr: 5.0000e-04 eta: 18:29:41 time: 0.9054 data_time: 0.0923 memory: 32703 grad_norm: 18.9270 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2805 loss: 1.2805 2022/07/30 12:00:17 - mmengine - INFO - Epoch(train) [32][660/2505] lr: 5.0000e-04 eta: 18:29:23 time: 1.1403 data_time: 0.1496 memory: 32703 grad_norm: 18.6407 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2173 loss: 1.2173 2022/07/30 12:00:36 - mmengine - INFO - Epoch(train) [32][680/2505] lr: 5.0000e-04 eta: 18:29:03 time: 0.9513 data_time: 0.1588 memory: 32703 grad_norm: 18.5829 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3539 loss: 1.3539 2022/07/30 12:00:57 - mmengine - INFO - Epoch(train) [32][700/2505] lr: 5.0000e-04 eta: 18:28:44 time: 1.0706 data_time: 0.2267 memory: 32703 grad_norm: 19.1399 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4401 loss: 1.4401 2022/07/30 12:01:15 - mmengine - INFO - Epoch(train) [32][720/2505] lr: 5.0000e-04 eta: 18:28:22 time: 0.8966 data_time: 0.1228 memory: 32703 grad_norm: 19.1338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3922 loss: 1.3922 2022/07/30 12:01:36 - mmengine - INFO - Epoch(train) [32][740/2505] lr: 5.0000e-04 eta: 18:28:03 time: 1.0470 data_time: 0.1370 memory: 32703 grad_norm: 19.9790 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3523 loss: 1.3523 2022/07/30 12:01:54 - mmengine - INFO - Epoch(train) [32][760/2505] lr: 5.0000e-04 eta: 18:27:42 time: 0.8819 data_time: 0.1103 memory: 32703 grad_norm: 19.4387 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3405 loss: 1.3405 2022/07/30 12:02:16 - mmengine - INFO - Epoch(train) [32][780/2505] lr: 5.0000e-04 eta: 18:27:24 time: 1.0970 data_time: 0.2750 memory: 32703 grad_norm: 19.5650 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2008 loss: 1.2008 2022/07/30 12:02:33 - mmengine - INFO - Epoch(train) [32][800/2505] lr: 5.0000e-04 eta: 18:27:02 time: 0.8790 data_time: 0.1688 memory: 32703 grad_norm: 18.3978 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0890 loss: 1.0890 2022/07/30 12:02:55 - mmengine - INFO - Epoch(train) [32][820/2505] lr: 5.0000e-04 eta: 18:26:43 time: 1.0875 data_time: 0.1818 memory: 32703 grad_norm: 19.8142 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2812 loss: 1.2812 2022/07/30 12:03:13 - mmengine - INFO - Epoch(train) [32][840/2505] lr: 5.0000e-04 eta: 18:26:22 time: 0.9136 data_time: 0.0532 memory: 32703 grad_norm: 18.4464 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1313 loss: 1.1313 2022/07/30 12:03:34 - mmengine - INFO - Epoch(train) [32][860/2505] lr: 5.0000e-04 eta: 18:26:03 time: 1.0118 data_time: 0.0279 memory: 32703 grad_norm: 19.3391 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3280 loss: 1.3280 2022/07/30 12:03:53 - mmengine - INFO - Epoch(train) [32][880/2505] lr: 5.0000e-04 eta: 18:25:42 time: 0.9550 data_time: 0.0282 memory: 32703 grad_norm: 19.0305 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3886 loss: 1.3886 2022/07/30 12:04:14 - mmengine - INFO - Epoch(train) [32][900/2505] lr: 5.0000e-04 eta: 18:25:23 time: 1.0634 data_time: 0.0289 memory: 32703 grad_norm: 18.6117 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3656 loss: 1.3656 2022/07/30 12:04:33 - mmengine - INFO - Epoch(train) [32][920/2505] lr: 5.0000e-04 eta: 18:25:03 time: 0.9385 data_time: 0.0282 memory: 32703 grad_norm: 18.0898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3258 loss: 1.3258 2022/07/30 12:04:54 - mmengine - INFO - Epoch(train) [32][940/2505] lr: 5.0000e-04 eta: 18:24:44 time: 1.0676 data_time: 0.0357 memory: 32703 grad_norm: 19.4278 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2729 loss: 1.2729 2022/07/30 12:05:12 - mmengine - INFO - Epoch(train) [32][960/2505] lr: 5.0000e-04 eta: 18:24:23 time: 0.9059 data_time: 0.0287 memory: 32703 grad_norm: 19.0036 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0967 loss: 1.0967 2022/07/30 12:05:33 - mmengine - INFO - Epoch(train) [32][980/2505] lr: 5.0000e-04 eta: 18:24:04 time: 1.0463 data_time: 0.0338 memory: 32703 grad_norm: 18.9099 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3844 loss: 1.3844 2022/07/30 12:05:52 - mmengine - INFO - Epoch(train) [32][1000/2505] lr: 5.0000e-04 eta: 18:23:43 time: 0.9532 data_time: 0.0308 memory: 32703 grad_norm: 19.1295 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3191 loss: 1.3191 2022/07/30 12:06:12 - mmengine - INFO - Epoch(train) [32][1020/2505] lr: 5.0000e-04 eta: 18:23:23 time: 0.9756 data_time: 0.0394 memory: 32703 grad_norm: 18.8340 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5825 loss: 1.5825 2022/07/30 12:06:31 - mmengine - INFO - Epoch(train) [32][1040/2505] lr: 5.0000e-04 eta: 18:23:03 time: 0.9739 data_time: 0.0281 memory: 32703 grad_norm: 19.1907 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4845 loss: 1.4845 2022/07/30 12:06:51 - mmengine - INFO - Epoch(train) [32][1060/2505] lr: 5.0000e-04 eta: 18:22:42 time: 0.9766 data_time: 0.0297 memory: 32703 grad_norm: 18.9498 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1318 loss: 1.1318 2022/07/30 12:07:10 - mmengine - INFO - Epoch(train) [32][1080/2505] lr: 5.0000e-04 eta: 18:22:22 time: 0.9717 data_time: 0.0302 memory: 32703 grad_norm: 19.3662 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6167 loss: 1.6167 2022/07/30 12:07:31 - mmengine - INFO - Epoch(train) [32][1100/2505] lr: 5.0000e-04 eta: 18:22:03 time: 1.0216 data_time: 0.0348 memory: 32703 grad_norm: 19.0707 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0772 loss: 1.0772 2022/07/30 12:07:50 - mmengine - INFO - Epoch(train) [32][1120/2505] lr: 5.0000e-04 eta: 18:21:43 time: 0.9733 data_time: 0.0281 memory: 32703 grad_norm: 19.4941 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.3672 loss: 1.3672 2022/07/30 12:08:09 - mmengine - INFO - Epoch(train) [32][1140/2505] lr: 5.0000e-04 eta: 18:21:22 time: 0.9568 data_time: 0.0294 memory: 32703 grad_norm: 19.4438 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.2627 loss: 1.2627 2022/07/30 12:08:28 - mmengine - INFO - Epoch(train) [32][1160/2505] lr: 5.0000e-04 eta: 18:21:02 time: 0.9555 data_time: 0.0811 memory: 32703 grad_norm: 18.6567 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2420 loss: 1.2420 2022/07/30 12:08:51 - mmengine - INFO - Epoch(train) [32][1180/2505] lr: 5.0000e-04 eta: 18:20:44 time: 1.1186 data_time: 0.3436 memory: 32703 grad_norm: 18.0587 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0593 loss: 1.0593 2022/07/30 12:09:10 - mmengine - INFO - Epoch(train) [32][1200/2505] lr: 5.0000e-04 eta: 18:20:23 time: 0.9462 data_time: 0.3036 memory: 32703 grad_norm: 18.9320 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3807 loss: 1.3807 2022/07/30 12:09:30 - mmengine - INFO - Epoch(train) [32][1220/2505] lr: 5.0000e-04 eta: 18:20:03 time: 0.9895 data_time: 0.1639 memory: 32703 grad_norm: 19.7009 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2618 loss: 1.2618 2022/07/30 12:09:48 - mmengine - INFO - Epoch(train) [32][1240/2505] lr: 5.0000e-04 eta: 18:19:42 time: 0.9198 data_time: 0.0282 memory: 32703 grad_norm: 18.9247 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4142 loss: 1.4142 2022/07/30 12:10:09 - mmengine - INFO - Epoch(train) [32][1260/2505] lr: 5.0000e-04 eta: 18:19:24 time: 1.0754 data_time: 0.0645 memory: 32703 grad_norm: 19.1157 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.2726 loss: 1.2726 2022/07/30 12:10:29 - mmengine - INFO - Epoch(train) [32][1280/2505] lr: 5.0000e-04 eta: 18:19:04 time: 0.9977 data_time: 0.0317 memory: 32703 grad_norm: 18.7350 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3240 loss: 1.3240 2022/07/30 12:10:51 - mmengine - INFO - Epoch(train) [32][1300/2505] lr: 5.0000e-04 eta: 18:18:45 time: 1.0577 data_time: 0.0296 memory: 32703 grad_norm: 19.0048 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3320 loss: 1.3320 2022/07/30 12:11:08 - mmengine - INFO - Epoch(train) [32][1320/2505] lr: 5.0000e-04 eta: 18:18:23 time: 0.8722 data_time: 0.0267 memory: 32703 grad_norm: 19.1348 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3142 loss: 1.3142 2022/07/30 12:11:29 - mmengine - INFO - Epoch(train) [32][1340/2505] lr: 5.0000e-04 eta: 18:18:04 time: 1.0574 data_time: 0.0264 memory: 32703 grad_norm: 18.7036 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3634 loss: 1.3634 2022/07/30 12:11:32 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 12:11:47 - mmengine - INFO - Epoch(train) [32][1360/2505] lr: 5.0000e-04 eta: 18:17:43 time: 0.8898 data_time: 0.0283 memory: 32703 grad_norm: 19.2180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3891 loss: 1.3891 2022/07/30 12:12:08 - mmengine - INFO - Epoch(train) [32][1380/2505] lr: 5.0000e-04 eta: 18:17:24 time: 1.0629 data_time: 0.0261 memory: 32703 grad_norm: 20.0676 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4186 loss: 1.4186 2022/07/30 12:12:25 - mmengine - INFO - Epoch(train) [32][1400/2505] lr: 5.0000e-04 eta: 18:17:02 time: 0.8536 data_time: 0.0268 memory: 32703 grad_norm: 19.5527 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2725 loss: 1.2725 2022/07/30 12:12:48 - mmengine - INFO - Epoch(train) [32][1420/2505] lr: 5.0000e-04 eta: 18:16:44 time: 1.1136 data_time: 0.0326 memory: 32703 grad_norm: 17.8564 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4066 loss: 1.4066 2022/07/30 12:13:05 - mmengine - INFO - Epoch(train) [32][1440/2505] lr: 5.0000e-04 eta: 18:16:22 time: 0.8654 data_time: 0.0271 memory: 32703 grad_norm: 18.3011 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3139 loss: 1.3139 2022/07/30 12:13:25 - mmengine - INFO - Epoch(train) [32][1460/2505] lr: 5.0000e-04 eta: 18:16:02 time: 0.9776 data_time: 0.0279 memory: 32703 grad_norm: 19.2268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3161 loss: 1.3161 2022/07/30 12:13:43 - mmengine - INFO - Epoch(train) [32][1480/2505] lr: 5.0000e-04 eta: 18:15:40 time: 0.9195 data_time: 0.0356 memory: 32703 grad_norm: 18.6012 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0427 loss: 1.0427 2022/07/30 12:14:04 - mmengine - INFO - Epoch(train) [32][1500/2505] lr: 5.0000e-04 eta: 18:15:22 time: 1.0563 data_time: 0.0600 memory: 32703 grad_norm: 19.4597 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4313 loss: 1.4313 2022/07/30 12:14:23 - mmengine - INFO - Epoch(train) [32][1520/2505] lr: 5.0000e-04 eta: 18:15:01 time: 0.9544 data_time: 0.0328 memory: 32703 grad_norm: 19.6560 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.4142 loss: 1.4142 2022/07/30 12:14:44 - mmengine - INFO - Epoch(train) [32][1540/2505] lr: 5.0000e-04 eta: 18:14:42 time: 1.0486 data_time: 0.0268 memory: 32703 grad_norm: 20.0808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2045 loss: 1.2045 2022/07/30 12:15:03 - mmengine - INFO - Epoch(train) [32][1560/2505] lr: 5.0000e-04 eta: 18:14:21 time: 0.9379 data_time: 0.0333 memory: 32703 grad_norm: 19.4354 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3623 loss: 1.3623 2022/07/30 12:15:24 - mmengine - INFO - Epoch(train) [32][1580/2505] lr: 5.0000e-04 eta: 18:14:03 time: 1.0571 data_time: 0.0275 memory: 32703 grad_norm: 19.7746 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4095 loss: 1.4095 2022/07/30 12:15:42 - mmengine - INFO - Epoch(train) [32][1600/2505] lr: 5.0000e-04 eta: 18:13:41 time: 0.9178 data_time: 0.0347 memory: 32703 grad_norm: 19.4510 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2613 loss: 1.2613 2022/07/30 12:16:04 - mmengine - INFO - Epoch(train) [32][1620/2505] lr: 5.0000e-04 eta: 18:13:23 time: 1.0702 data_time: 0.0271 memory: 32703 grad_norm: 18.9834 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3408 loss: 1.3408 2022/07/30 12:16:22 - mmengine - INFO - Epoch(train) [32][1640/2505] lr: 5.0000e-04 eta: 18:13:01 time: 0.8942 data_time: 0.0347 memory: 32703 grad_norm: 19.2088 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1877 loss: 1.1877 2022/07/30 12:16:43 - mmengine - INFO - Epoch(train) [32][1660/2505] lr: 5.0000e-04 eta: 18:12:42 time: 1.0585 data_time: 0.0316 memory: 32703 grad_norm: 20.0457 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4791 loss: 1.4791 2022/07/30 12:17:01 - mmengine - INFO - Epoch(train) [32][1680/2505] lr: 5.0000e-04 eta: 18:12:21 time: 0.9113 data_time: 0.0277 memory: 32703 grad_norm: 19.2246 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4808 loss: 1.4808 2022/07/30 12:17:22 - mmengine - INFO - Epoch(train) [32][1700/2505] lr: 5.0000e-04 eta: 18:12:03 time: 1.0643 data_time: 0.0315 memory: 32703 grad_norm: 18.9758 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2005 loss: 1.2005 2022/07/30 12:17:41 - mmengine - INFO - Epoch(train) [32][1720/2505] lr: 5.0000e-04 eta: 18:11:42 time: 0.9308 data_time: 0.0315 memory: 32703 grad_norm: 18.7189 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0019 loss: 1.0019 2022/07/30 12:18:02 - mmengine - INFO - Epoch(train) [32][1740/2505] lr: 5.0000e-04 eta: 18:11:23 time: 1.0697 data_time: 0.0264 memory: 32703 grad_norm: 19.0622 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.2766 loss: 1.2766 2022/07/30 12:18:20 - mmengine - INFO - Epoch(train) [32][1760/2505] lr: 5.0000e-04 eta: 18:11:01 time: 0.8705 data_time: 0.0353 memory: 32703 grad_norm: 19.5232 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3500 loss: 1.3500 2022/07/30 12:18:41 - mmengine - INFO - Epoch(train) [32][1780/2505] lr: 5.0000e-04 eta: 18:10:42 time: 1.0446 data_time: 0.0289 memory: 32703 grad_norm: 18.7565 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5047 loss: 1.5047 2022/07/30 12:18:59 - mmengine - INFO - Epoch(train) [32][1800/2505] lr: 5.0000e-04 eta: 18:10:21 time: 0.9268 data_time: 0.0512 memory: 32703 grad_norm: 19.1890 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3039 loss: 1.3039 2022/07/30 12:19:20 - mmengine - INFO - Epoch(train) [32][1820/2505] lr: 5.0000e-04 eta: 18:10:02 time: 1.0468 data_time: 0.0322 memory: 32703 grad_norm: 18.5010 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5048 loss: 1.5048 2022/07/30 12:19:39 - mmengine - INFO - Epoch(train) [32][1840/2505] lr: 5.0000e-04 eta: 18:09:41 time: 0.9229 data_time: 0.0332 memory: 32703 grad_norm: 19.7360 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5542 loss: 1.5542 2022/07/30 12:20:00 - mmengine - INFO - Epoch(train) [32][1860/2505] lr: 5.0000e-04 eta: 18:09:22 time: 1.0687 data_time: 0.0358 memory: 32703 grad_norm: 18.1209 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1806 loss: 1.1806 2022/07/30 12:20:18 - mmengine - INFO - Epoch(train) [32][1880/2505] lr: 5.0000e-04 eta: 18:09:01 time: 0.9105 data_time: 0.0291 memory: 32703 grad_norm: 18.8673 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4112 loss: 1.4112 2022/07/30 12:20:39 - mmengine - INFO - Epoch(train) [32][1900/2505] lr: 5.0000e-04 eta: 18:08:42 time: 1.0445 data_time: 0.0319 memory: 32703 grad_norm: 18.6426 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3842 loss: 1.3842 2022/07/30 12:20:58 - mmengine - INFO - Epoch(train) [32][1920/2505] lr: 5.0000e-04 eta: 18:08:21 time: 0.9463 data_time: 0.0297 memory: 32703 grad_norm: 18.3301 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5345 loss: 1.5345 2022/07/30 12:21:18 - mmengine - INFO - Epoch(train) [32][1940/2505] lr: 5.0000e-04 eta: 18:08:02 time: 1.0060 data_time: 0.0299 memory: 32703 grad_norm: 19.1490 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1847 loss: 1.1847 2022/07/30 12:21:37 - mmengine - INFO - Epoch(train) [32][1960/2505] lr: 5.0000e-04 eta: 18:07:41 time: 0.9614 data_time: 0.0264 memory: 32703 grad_norm: 20.0651 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3241 loss: 1.3241 2022/07/30 12:21:57 - mmengine - INFO - Epoch(train) [32][1980/2505] lr: 5.0000e-04 eta: 18:07:22 time: 0.9993 data_time: 0.0318 memory: 32703 grad_norm: 18.8421 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5148 loss: 1.5148 2022/07/30 12:22:17 - mmengine - INFO - Epoch(train) [32][2000/2505] lr: 5.0000e-04 eta: 18:07:01 time: 0.9692 data_time: 0.0281 memory: 32703 grad_norm: 18.9336 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2858 loss: 1.2858 2022/07/30 12:22:37 - mmengine - INFO - Epoch(train) [32][2020/2505] lr: 5.0000e-04 eta: 18:06:42 time: 1.0015 data_time: 0.0273 memory: 32703 grad_norm: 19.6117 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2768 loss: 1.2768 2022/07/30 12:22:57 - mmengine - INFO - Epoch(train) [32][2040/2505] lr: 5.0000e-04 eta: 18:06:22 time: 0.9981 data_time: 0.0287 memory: 32703 grad_norm: 18.9757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2311 loss: 1.2311 2022/07/30 12:23:17 - mmengine - INFO - Epoch(train) [32][2060/2505] lr: 5.0000e-04 eta: 18:06:02 time: 0.9998 data_time: 0.0260 memory: 32703 grad_norm: 17.8412 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2247 loss: 1.2247 2022/07/30 12:23:36 - mmengine - INFO - Epoch(train) [32][2080/2505] lr: 5.0000e-04 eta: 18:05:41 time: 0.9425 data_time: 0.0271 memory: 32703 grad_norm: 19.4837 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2123 loss: 1.2123 2022/07/30 12:23:56 - mmengine - INFO - Epoch(train) [32][2100/2505] lr: 5.0000e-04 eta: 18:05:22 time: 1.0342 data_time: 0.0254 memory: 32703 grad_norm: 18.9054 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2691 loss: 1.2691 2022/07/30 12:24:15 - mmengine - INFO - Epoch(train) [32][2120/2505] lr: 5.0000e-04 eta: 18:05:01 time: 0.9230 data_time: 0.0334 memory: 32703 grad_norm: 19.2190 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2418 loss: 1.2418 2022/07/30 12:24:37 - mmengine - INFO - Epoch(train) [32][2140/2505] lr: 5.0000e-04 eta: 18:04:43 time: 1.0987 data_time: 0.0258 memory: 32703 grad_norm: 19.7995 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3862 loss: 1.3862 2022/07/30 12:24:54 - mmengine - INFO - Epoch(train) [32][2160/2505] lr: 5.0000e-04 eta: 18:04:21 time: 0.8778 data_time: 0.0277 memory: 32703 grad_norm: 19.0073 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.2096 loss: 1.2096 2022/07/30 12:25:16 - mmengine - INFO - Epoch(train) [32][2180/2505] lr: 5.0000e-04 eta: 18:04:03 time: 1.0742 data_time: 0.0303 memory: 32703 grad_norm: 18.9711 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2840 loss: 1.2840 2022/07/30 12:25:34 - mmengine - INFO - Epoch(train) [32][2200/2505] lr: 5.0000e-04 eta: 18:03:41 time: 0.9057 data_time: 0.0350 memory: 32703 grad_norm: 20.2479 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2102 loss: 1.2102 2022/07/30 12:25:55 - mmengine - INFO - Epoch(train) [32][2220/2505] lr: 5.0000e-04 eta: 18:03:22 time: 1.0465 data_time: 0.0323 memory: 32703 grad_norm: 19.8818 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2289 loss: 1.2289 2022/07/30 12:26:13 - mmengine - INFO - Epoch(train) [32][2240/2505] lr: 5.0000e-04 eta: 18:03:01 time: 0.8986 data_time: 0.0332 memory: 32703 grad_norm: 18.6003 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.2726 loss: 1.2726 2022/07/30 12:26:34 - mmengine - INFO - Epoch(train) [32][2260/2505] lr: 5.0000e-04 eta: 18:02:42 time: 1.0689 data_time: 0.0274 memory: 32703 grad_norm: 18.8913 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1553 loss: 1.1553 2022/07/30 12:26:53 - mmengine - INFO - Epoch(train) [32][2280/2505] lr: 5.0000e-04 eta: 18:02:21 time: 0.9260 data_time: 0.0366 memory: 32703 grad_norm: 20.2647 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3134 loss: 1.3134 2022/07/30 12:27:15 - mmengine - INFO - Epoch(train) [32][2300/2505] lr: 5.0000e-04 eta: 18:02:03 time: 1.1017 data_time: 0.0317 memory: 32703 grad_norm: 19.4630 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1312 loss: 1.1312 2022/07/30 12:27:33 - mmengine - INFO - Epoch(train) [32][2320/2505] lr: 5.0000e-04 eta: 18:01:41 time: 0.8886 data_time: 0.0427 memory: 32703 grad_norm: 19.2854 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.2335 loss: 1.2335 2022/07/30 12:27:53 - mmengine - INFO - Epoch(train) [32][2340/2505] lr: 5.0000e-04 eta: 18:01:22 time: 1.0361 data_time: 0.0293 memory: 32703 grad_norm: 19.0512 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2358 loss: 1.2358 2022/07/30 12:27:56 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 12:28:12 - mmengine - INFO - Epoch(train) [32][2360/2505] lr: 5.0000e-04 eta: 18:01:01 time: 0.9234 data_time: 0.0290 memory: 32703 grad_norm: 18.2889 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4728 loss: 1.4728 2022/07/30 12:28:32 - mmengine - INFO - Epoch(train) [32][2380/2505] lr: 5.0000e-04 eta: 18:00:42 time: 1.0242 data_time: 0.0323 memory: 32703 grad_norm: 18.0478 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.3988 loss: 1.3988 2022/07/30 12:28:51 - mmengine - INFO - Epoch(train) [32][2400/2505] lr: 5.0000e-04 eta: 18:00:21 time: 0.9196 data_time: 0.0313 memory: 32703 grad_norm: 19.1576 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4956 loss: 1.4956 2022/07/30 12:29:13 - mmengine - INFO - Epoch(train) [32][2420/2505] lr: 5.0000e-04 eta: 18:00:03 time: 1.1004 data_time: 0.0323 memory: 32703 grad_norm: 18.5379 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2762 loss: 1.2762 2022/07/30 12:29:31 - mmengine - INFO - Epoch(train) [32][2440/2505] lr: 5.0000e-04 eta: 17:59:42 time: 0.9248 data_time: 0.0291 memory: 32703 grad_norm: 19.9533 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4815 loss: 1.4815 2022/07/30 12:29:52 - mmengine - INFO - Epoch(train) [32][2460/2505] lr: 5.0000e-04 eta: 17:59:23 time: 1.0587 data_time: 0.0262 memory: 32703 grad_norm: 19.1540 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4726 loss: 1.4726 2022/07/30 12:30:11 - mmengine - INFO - Epoch(train) [32][2480/2505] lr: 5.0000e-04 eta: 17:59:02 time: 0.9308 data_time: 0.0603 memory: 32703 grad_norm: 18.1008 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2310 loss: 1.2310 2022/07/30 12:30:28 - mmengine - INFO - Epoch(train) [32][2500/2505] lr: 5.0000e-04 eta: 17:58:40 time: 0.8614 data_time: 0.0829 memory: 32703 grad_norm: 19.3335 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2970 loss: 1.2970 2022/07/30 12:30:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 12:30:31 - mmengine - INFO - Epoch(train) [32][2505/2505] lr: 5.0000e-04 eta: 17:58:40 time: 0.7352 data_time: 0.0727 memory: 32703 grad_norm: 19.6945 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2950 loss: 1.2950 2022/07/30 12:30:31 - mmengine - INFO - Saving checkpoint at 32 epochs 2022/07/30 12:30:59 - mmengine - INFO - Epoch(train) [33][20/2505] lr: 5.0000e-05 eta: 17:58:15 time: 1.2407 data_time: 0.6678 memory: 32703 grad_norm: 18.5385 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3970 loss: 1.3970 2022/07/30 12:31:18 - mmengine - INFO - Epoch(train) [33][40/2505] lr: 5.0000e-05 eta: 17:57:54 time: 0.9432 data_time: 0.3617 memory: 32703 grad_norm: 18.3073 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2834 loss: 1.2834 2022/07/30 12:31:39 - mmengine - INFO - Epoch(train) [33][60/2505] lr: 5.0000e-05 eta: 17:57:36 time: 1.0575 data_time: 0.4708 memory: 32703 grad_norm: 17.7295 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2043 loss: 1.2043 2022/07/30 12:31:57 - mmengine - INFO - Epoch(train) [33][80/2505] lr: 5.0000e-05 eta: 17:57:14 time: 0.9145 data_time: 0.3275 memory: 32703 grad_norm: 17.4921 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1748 loss: 1.1748 2022/07/30 12:32:19 - mmengine - INFO - Epoch(train) [33][100/2505] lr: 5.0000e-05 eta: 17:56:56 time: 1.0676 data_time: 0.4826 memory: 32703 grad_norm: 18.3347 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4500 loss: 1.4500 2022/07/30 12:32:37 - mmengine - INFO - Epoch(train) [33][120/2505] lr: 5.0000e-05 eta: 17:56:35 time: 0.9273 data_time: 0.3501 memory: 32703 grad_norm: 17.4301 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2319 loss: 1.2319 2022/07/30 12:32:59 - mmengine - INFO - Epoch(train) [33][140/2505] lr: 5.0000e-05 eta: 17:56:16 time: 1.0654 data_time: 0.4610 memory: 32703 grad_norm: 17.4837 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2074 loss: 1.2074 2022/07/30 12:33:17 - mmengine - INFO - Epoch(train) [33][160/2505] lr: 5.0000e-05 eta: 17:55:55 time: 0.9023 data_time: 0.3040 memory: 32703 grad_norm: 17.6453 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2167 loss: 1.2167 2022/07/30 12:33:38 - mmengine - INFO - Epoch(train) [33][180/2505] lr: 5.0000e-05 eta: 17:55:36 time: 1.0692 data_time: 0.3611 memory: 32703 grad_norm: 17.8101 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1788 loss: 1.1788 2022/07/30 12:33:55 - mmengine - INFO - Epoch(train) [33][200/2505] lr: 5.0000e-05 eta: 17:55:14 time: 0.8686 data_time: 0.2798 memory: 32703 grad_norm: 18.4920 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2652 loss: 1.2652 2022/07/30 12:34:16 - mmengine - INFO - Epoch(train) [33][220/2505] lr: 5.0000e-05 eta: 17:54:55 time: 1.0480 data_time: 0.4046 memory: 32703 grad_norm: 17.6730 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0278 loss: 1.0278 2022/07/30 12:34:35 - mmengine - INFO - Epoch(train) [33][240/2505] lr: 5.0000e-05 eta: 17:54:34 time: 0.9325 data_time: 0.2056 memory: 32703 grad_norm: 17.7589 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2809 loss: 1.2809 2022/07/30 12:34:57 - mmengine - INFO - Epoch(train) [33][260/2505] lr: 5.0000e-05 eta: 17:54:16 time: 1.0921 data_time: 0.3328 memory: 32703 grad_norm: 18.4989 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3036 loss: 1.3036 2022/07/30 12:35:15 - mmengine - INFO - Epoch(train) [33][280/2505] lr: 5.0000e-05 eta: 17:53:55 time: 0.8968 data_time: 0.1970 memory: 32703 grad_norm: 18.1375 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2173 loss: 1.2173 2022/07/30 12:35:36 - mmengine - INFO - Epoch(train) [33][300/2505] lr: 5.0000e-05 eta: 17:53:36 time: 1.0555 data_time: 0.1723 memory: 32703 grad_norm: 17.5206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1125 loss: 1.1125 2022/07/30 12:35:54 - mmengine - INFO - Epoch(train) [33][320/2505] lr: 5.0000e-05 eta: 17:53:14 time: 0.8900 data_time: 0.1803 memory: 32703 grad_norm: 17.7174 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2776 loss: 1.2776 2022/07/30 12:36:16 - mmengine - INFO - Epoch(train) [33][340/2505] lr: 5.0000e-05 eta: 17:52:56 time: 1.0918 data_time: 0.1398 memory: 32703 grad_norm: 18.0055 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2222 loss: 1.2222 2022/07/30 12:36:34 - mmengine - INFO - Epoch(train) [33][360/2505] lr: 5.0000e-05 eta: 17:52:35 time: 0.9209 data_time: 0.1317 memory: 32703 grad_norm: 17.4973 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1403 loss: 1.1403 2022/07/30 12:36:55 - mmengine - INFO - Epoch(train) [33][380/2505] lr: 5.0000e-05 eta: 17:52:16 time: 1.0656 data_time: 0.1301 memory: 32703 grad_norm: 17.8361 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1229 loss: 1.1229 2022/07/30 12:37:14 - mmengine - INFO - Epoch(train) [33][400/2505] lr: 5.0000e-05 eta: 17:51:55 time: 0.9456 data_time: 0.0734 memory: 32703 grad_norm: 18.0544 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1997 loss: 1.1997 2022/07/30 12:37:36 - mmengine - INFO - Epoch(train) [33][420/2505] lr: 5.0000e-05 eta: 17:51:37 time: 1.0835 data_time: 0.2474 memory: 32703 grad_norm: 18.5819 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1308 loss: 1.1308 2022/07/30 12:37:55 - mmengine - INFO - Epoch(train) [33][440/2505] lr: 5.0000e-05 eta: 17:51:17 time: 0.9556 data_time: 0.3397 memory: 32703 grad_norm: 18.1704 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0119 loss: 1.0119 2022/07/30 12:38:17 - mmengine - INFO - Epoch(train) [33][460/2505] lr: 5.0000e-05 eta: 17:50:58 time: 1.0739 data_time: 0.4141 memory: 32703 grad_norm: 18.0093 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2389 loss: 1.2389 2022/07/30 12:38:34 - mmengine - INFO - Epoch(train) [33][480/2505] lr: 5.0000e-05 eta: 17:50:36 time: 0.8717 data_time: 0.2544 memory: 32703 grad_norm: 17.9630 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1538 loss: 1.1538 2022/07/30 12:38:55 - mmengine - INFO - Epoch(train) [33][500/2505] lr: 5.0000e-05 eta: 17:50:17 time: 1.0510 data_time: 0.3447 memory: 32703 grad_norm: 18.8668 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2630 loss: 1.2630 2022/07/30 12:39:13 - mmengine - INFO - Epoch(train) [33][520/2505] lr: 5.0000e-05 eta: 17:49:56 time: 0.9118 data_time: 0.2513 memory: 32703 grad_norm: 17.7215 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1507 loss: 1.1507 2022/07/30 12:39:34 - mmengine - INFO - Epoch(train) [33][540/2505] lr: 5.0000e-05 eta: 17:49:37 time: 1.0315 data_time: 0.3190 memory: 32703 grad_norm: 18.8952 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3143 loss: 1.3143 2022/07/30 12:39:51 - mmengine - INFO - Epoch(train) [33][560/2505] lr: 5.0000e-05 eta: 17:49:15 time: 0.8689 data_time: 0.0911 memory: 32703 grad_norm: 17.5499 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0804 loss: 1.0804 2022/07/30 12:40:13 - mmengine - INFO - Epoch(train) [33][580/2505] lr: 5.0000e-05 eta: 17:48:57 time: 1.1034 data_time: 0.0300 memory: 32703 grad_norm: 18.2848 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2104 loss: 1.2104 2022/07/30 12:40:32 - mmengine - INFO - Epoch(train) [33][600/2505] lr: 5.0000e-05 eta: 17:48:36 time: 0.9487 data_time: 0.0262 memory: 32703 grad_norm: 17.8391 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0877 loss: 1.0877 2022/07/30 12:40:53 - mmengine - INFO - Epoch(train) [33][620/2505] lr: 5.0000e-05 eta: 17:48:17 time: 1.0538 data_time: 0.0285 memory: 32703 grad_norm: 17.1627 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9560 loss: 0.9560 2022/07/30 12:41:13 - mmengine - INFO - Epoch(train) [33][640/2505] lr: 5.0000e-05 eta: 17:47:57 time: 0.9569 data_time: 0.0268 memory: 32703 grad_norm: 18.9297 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3187 loss: 1.3187 2022/07/30 12:41:33 - mmengine - INFO - Epoch(train) [33][660/2505] lr: 5.0000e-05 eta: 17:47:37 time: 1.0141 data_time: 0.0276 memory: 32703 grad_norm: 18.3001 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1228 loss: 1.1228 2022/07/30 12:41:50 - mmengine - INFO - Epoch(train) [33][680/2505] lr: 5.0000e-05 eta: 17:47:16 time: 0.8800 data_time: 0.0256 memory: 32703 grad_norm: 18.3858 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9859 loss: 0.9859 2022/07/30 12:42:12 - mmengine - INFO - Epoch(train) [33][700/2505] lr: 5.0000e-05 eta: 17:46:57 time: 1.0577 data_time: 0.0319 memory: 32703 grad_norm: 17.7663 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3098 loss: 1.3098 2022/07/30 12:42:30 - mmengine - INFO - Epoch(train) [33][720/2505] lr: 5.0000e-05 eta: 17:46:36 time: 0.9146 data_time: 0.0281 memory: 32703 grad_norm: 17.3513 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0715 loss: 1.0715 2022/07/30 12:42:51 - mmengine - INFO - Epoch(train) [33][740/2505] lr: 5.0000e-05 eta: 17:46:17 time: 1.0558 data_time: 0.0268 memory: 32703 grad_norm: 17.5550 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2659 loss: 1.2659 2022/07/30 12:43:08 - mmengine - INFO - Epoch(train) [33][760/2505] lr: 5.0000e-05 eta: 17:45:54 time: 0.8271 data_time: 0.0268 memory: 32703 grad_norm: 17.0384 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0203 loss: 1.0203 2022/07/30 12:43:29 - mmengine - INFO - Epoch(train) [33][780/2505] lr: 5.0000e-05 eta: 17:45:36 time: 1.0803 data_time: 0.0282 memory: 32703 grad_norm: 18.5023 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8746 loss: 0.8746 2022/07/30 12:43:47 - mmengine - INFO - Epoch(train) [33][800/2505] lr: 5.0000e-05 eta: 17:45:14 time: 0.8760 data_time: 0.0300 memory: 32703 grad_norm: 17.7325 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1491 loss: 1.1491 2022/07/30 12:44:08 - mmengine - INFO - Epoch(train) [33][820/2505] lr: 5.0000e-05 eta: 17:44:55 time: 1.0375 data_time: 0.0280 memory: 32703 grad_norm: 17.4145 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2775 loss: 1.2775 2022/07/30 12:44:27 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 12:44:27 - mmengine - INFO - Epoch(train) [33][840/2505] lr: 5.0000e-05 eta: 17:44:35 time: 0.9800 data_time: 0.0454 memory: 32703 grad_norm: 17.4691 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2958 loss: 1.2958 2022/07/30 12:44:47 - mmengine - INFO - Epoch(train) [33][860/2505] lr: 5.0000e-05 eta: 17:44:15 time: 0.9842 data_time: 0.0788 memory: 32703 grad_norm: 17.3374 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1014 loss: 1.1014 2022/07/30 12:45:08 - mmengine - INFO - Epoch(train) [33][880/2505] lr: 5.0000e-05 eta: 17:43:56 time: 1.0379 data_time: 0.0489 memory: 32703 grad_norm: 18.2188 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1406 loss: 1.1406 2022/07/30 12:45:27 - mmengine - INFO - Epoch(train) [33][900/2505] lr: 5.0000e-05 eta: 17:43:35 time: 0.9684 data_time: 0.0506 memory: 32703 grad_norm: 17.8585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2749 loss: 1.2749 2022/07/30 12:45:47 - mmengine - INFO - Epoch(train) [33][920/2505] lr: 5.0000e-05 eta: 17:43:15 time: 0.9947 data_time: 0.1896 memory: 32703 grad_norm: 18.3062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3541 loss: 1.3541 2022/07/30 12:46:06 - mmengine - INFO - Epoch(train) [33][940/2505] lr: 5.0000e-05 eta: 17:42:55 time: 0.9340 data_time: 0.2675 memory: 32703 grad_norm: 18.0321 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1923 loss: 1.1923 2022/07/30 12:46:27 - mmengine - INFO - Epoch(train) [33][960/2505] lr: 5.0000e-05 eta: 17:42:36 time: 1.0535 data_time: 0.2818 memory: 32703 grad_norm: 17.7940 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9543 loss: 0.9543 2022/07/30 12:46:45 - mmengine - INFO - Epoch(train) [33][980/2505] lr: 5.0000e-05 eta: 17:42:14 time: 0.9049 data_time: 0.1944 memory: 32703 grad_norm: 17.5271 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0487 loss: 1.0487 2022/07/30 12:47:04 - mmengine - INFO - Epoch(train) [33][1000/2505] lr: 5.0000e-05 eta: 17:41:54 time: 0.9801 data_time: 0.3355 memory: 32703 grad_norm: 18.5077 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3208 loss: 1.3208 2022/07/30 12:47:24 - mmengine - INFO - Epoch(train) [33][1020/2505] lr: 5.0000e-05 eta: 17:41:34 time: 0.9892 data_time: 0.2458 memory: 32703 grad_norm: 18.2473 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9960 loss: 0.9960 2022/07/30 12:47:44 - mmengine - INFO - Epoch(train) [33][1040/2505] lr: 5.0000e-05 eta: 17:41:15 time: 1.0092 data_time: 0.2008 memory: 32703 grad_norm: 17.3417 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0841 loss: 1.0841 2022/07/30 12:48:04 - mmengine - INFO - Epoch(train) [33][1060/2505] lr: 5.0000e-05 eta: 17:40:55 time: 0.9957 data_time: 0.1214 memory: 32703 grad_norm: 18.4172 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2357 loss: 1.2357 2022/07/30 12:48:25 - mmengine - INFO - Epoch(train) [33][1080/2505] lr: 5.0000e-05 eta: 17:40:36 time: 1.0338 data_time: 0.1031 memory: 32703 grad_norm: 18.3702 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0971 loss: 1.0971 2022/07/30 12:48:44 - mmengine - INFO - Epoch(train) [33][1100/2505] lr: 5.0000e-05 eta: 17:40:15 time: 0.9615 data_time: 0.1293 memory: 32703 grad_norm: 18.4860 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0590 loss: 1.0590 2022/07/30 12:49:04 - mmengine - INFO - Epoch(train) [33][1120/2505] lr: 5.0000e-05 eta: 17:39:55 time: 0.9749 data_time: 0.1085 memory: 32703 grad_norm: 18.0196 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0932 loss: 1.0932 2022/07/30 12:49:22 - mmengine - INFO - Epoch(train) [33][1140/2505] lr: 5.0000e-05 eta: 17:39:34 time: 0.9288 data_time: 0.1617 memory: 32703 grad_norm: 18.4232 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2591 loss: 1.2591 2022/07/30 12:49:43 - mmengine - INFO - Epoch(train) [33][1160/2505] lr: 5.0000e-05 eta: 17:39:15 time: 1.0479 data_time: 0.1312 memory: 32703 grad_norm: 17.8687 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2464 loss: 1.2464 2022/07/30 12:50:01 - mmengine - INFO - Epoch(train) [33][1180/2505] lr: 5.0000e-05 eta: 17:38:54 time: 0.9153 data_time: 0.1013 memory: 32703 grad_norm: 17.7627 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2098 loss: 1.2098 2022/07/30 12:50:22 - mmengine - INFO - Epoch(train) [33][1200/2505] lr: 5.0000e-05 eta: 17:38:35 time: 1.0342 data_time: 0.0596 memory: 32703 grad_norm: 17.7958 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2616 loss: 1.2616 2022/07/30 12:50:41 - mmengine - INFO - Epoch(train) [33][1220/2505] lr: 5.0000e-05 eta: 17:38:14 time: 0.9550 data_time: 0.0803 memory: 32703 grad_norm: 18.0354 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2586 loss: 1.2586 2022/07/30 12:51:01 - mmengine - INFO - Epoch(train) [33][1240/2505] lr: 5.0000e-05 eta: 17:37:55 time: 1.0053 data_time: 0.1240 memory: 32703 grad_norm: 18.5359 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1334 loss: 1.1334 2022/07/30 12:51:20 - mmengine - INFO - Epoch(train) [33][1260/2505] lr: 5.0000e-05 eta: 17:37:34 time: 0.9367 data_time: 0.1014 memory: 32703 grad_norm: 17.9097 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.0534 loss: 1.0534 2022/07/30 12:51:42 - mmengine - INFO - Epoch(train) [33][1280/2505] lr: 5.0000e-05 eta: 17:37:15 time: 1.0701 data_time: 0.0688 memory: 32703 grad_norm: 18.1835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7684 loss: 0.7684 2022/07/30 12:52:00 - mmengine - INFO - Epoch(train) [33][1300/2505] lr: 5.0000e-05 eta: 17:36:55 time: 0.9367 data_time: 0.0743 memory: 32703 grad_norm: 18.2535 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2255 loss: 1.2255 2022/07/30 12:52:21 - mmengine - INFO - Epoch(train) [33][1320/2505] lr: 5.0000e-05 eta: 17:36:35 time: 1.0218 data_time: 0.0963 memory: 32703 grad_norm: 18.1739 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9999 loss: 0.9999 2022/07/30 12:52:40 - mmengine - INFO - Epoch(train) [33][1340/2505] lr: 5.0000e-05 eta: 17:36:15 time: 0.9584 data_time: 0.1528 memory: 32703 grad_norm: 17.7570 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8894 loss: 0.8894 2022/07/30 12:53:00 - mmengine - INFO - Epoch(train) [33][1360/2505] lr: 5.0000e-05 eta: 17:35:55 time: 1.0065 data_time: 0.1096 memory: 32703 grad_norm: 18.6761 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0478 loss: 1.0478 2022/07/30 12:53:18 - mmengine - INFO - Epoch(train) [33][1380/2505] lr: 5.0000e-05 eta: 17:35:34 time: 0.9065 data_time: 0.1098 memory: 32703 grad_norm: 17.8528 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9663 loss: 0.9663 2022/07/30 12:53:39 - mmengine - INFO - Epoch(train) [33][1400/2505] lr: 5.0000e-05 eta: 17:35:15 time: 1.0459 data_time: 0.1842 memory: 32703 grad_norm: 17.5333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1767 loss: 1.1767 2022/07/30 12:53:58 - mmengine - INFO - Epoch(train) [33][1420/2505] lr: 5.0000e-05 eta: 17:34:54 time: 0.9608 data_time: 0.0499 memory: 32703 grad_norm: 17.9891 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2674 loss: 1.2674 2022/07/30 12:54:18 - mmengine - INFO - Epoch(train) [33][1440/2505] lr: 5.0000e-05 eta: 17:34:34 time: 0.9765 data_time: 0.0288 memory: 32703 grad_norm: 17.3024 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0888 loss: 1.0888 2022/07/30 12:54:37 - mmengine - INFO - Epoch(train) [33][1460/2505] lr: 5.0000e-05 eta: 17:34:14 time: 0.9767 data_time: 0.0736 memory: 32703 grad_norm: 18.6138 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0241 loss: 1.0241 2022/07/30 12:54:57 - mmengine - INFO - Epoch(train) [33][1480/2505] lr: 5.0000e-05 eta: 17:33:54 time: 0.9995 data_time: 0.0274 memory: 32703 grad_norm: 18.4025 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1685 loss: 1.1685 2022/07/30 12:55:17 - mmengine - INFO - Epoch(train) [33][1500/2505] lr: 5.0000e-05 eta: 17:33:34 time: 0.9926 data_time: 0.0269 memory: 32703 grad_norm: 17.6589 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1174 loss: 1.1174 2022/07/30 12:55:38 - mmengine - INFO - Epoch(train) [33][1520/2505] lr: 5.0000e-05 eta: 17:33:15 time: 1.0228 data_time: 0.0346 memory: 32703 grad_norm: 18.2418 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1768 loss: 1.1768 2022/07/30 12:55:57 - mmengine - INFO - Epoch(train) [33][1540/2505] lr: 5.0000e-05 eta: 17:32:55 time: 0.9630 data_time: 0.0288 memory: 32703 grad_norm: 17.8809 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9070 loss: 0.9070 2022/07/30 12:56:18 - mmengine - INFO - Epoch(train) [33][1560/2505] lr: 5.0000e-05 eta: 17:32:36 time: 1.0508 data_time: 0.0295 memory: 32703 grad_norm: 18.0647 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1142 loss: 1.1142 2022/07/30 12:56:36 - mmengine - INFO - Epoch(train) [33][1580/2505] lr: 5.0000e-05 eta: 17:32:14 time: 0.9006 data_time: 0.0350 memory: 32703 grad_norm: 17.8599 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1245 loss: 1.1245 2022/07/30 12:56:57 - mmengine - INFO - Epoch(train) [33][1600/2505] lr: 5.0000e-05 eta: 17:31:56 time: 1.0603 data_time: 0.0278 memory: 32703 grad_norm: 17.8243 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9481 loss: 0.9481 2022/07/30 12:57:15 - mmengine - INFO - Epoch(train) [33][1620/2505] lr: 5.0000e-05 eta: 17:31:34 time: 0.8980 data_time: 0.0320 memory: 32703 grad_norm: 18.1244 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1877 loss: 1.1877 2022/07/30 12:57:37 - mmengine - INFO - Epoch(train) [33][1640/2505] lr: 5.0000e-05 eta: 17:31:16 time: 1.0745 data_time: 0.0278 memory: 32703 grad_norm: 17.8028 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2760 loss: 1.2760 2022/07/30 12:57:55 - mmengine - INFO - Epoch(train) [33][1660/2505] lr: 5.0000e-05 eta: 17:30:55 time: 0.9206 data_time: 0.0327 memory: 32703 grad_norm: 17.9818 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9401 loss: 0.9401 2022/07/30 12:58:16 - mmengine - INFO - Epoch(train) [33][1680/2505] lr: 5.0000e-05 eta: 17:30:36 time: 1.0612 data_time: 0.0293 memory: 32703 grad_norm: 17.2852 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0698 loss: 1.0698 2022/07/30 12:58:35 - mmengine - INFO - Epoch(train) [33][1700/2505] lr: 5.0000e-05 eta: 17:30:15 time: 0.9300 data_time: 0.0314 memory: 32703 grad_norm: 17.3114 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9840 loss: 0.9840 2022/07/30 12:58:55 - mmengine - INFO - Epoch(train) [33][1720/2505] lr: 5.0000e-05 eta: 17:29:55 time: 0.9861 data_time: 0.0296 memory: 32703 grad_norm: 18.2562 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0560 loss: 1.0560 2022/07/30 12:59:13 - mmengine - INFO - Epoch(train) [33][1740/2505] lr: 5.0000e-05 eta: 17:29:34 time: 0.9300 data_time: 0.0272 memory: 32703 grad_norm: 18.2016 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0830 loss: 1.0830 2022/07/30 12:59:33 - mmengine - INFO - Epoch(train) [33][1760/2505] lr: 5.0000e-05 eta: 17:29:14 time: 0.9985 data_time: 0.0330 memory: 32703 grad_norm: 17.9065 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0467 loss: 1.0467 2022/07/30 12:59:51 - mmengine - INFO - Epoch(train) [33][1780/2505] lr: 5.0000e-05 eta: 17:28:53 time: 0.9079 data_time: 0.0264 memory: 32703 grad_norm: 17.9272 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0851 loss: 1.0851 2022/07/30 13:00:13 - mmengine - INFO - Epoch(train) [33][1800/2505] lr: 5.0000e-05 eta: 17:28:34 time: 1.0570 data_time: 0.0281 memory: 32703 grad_norm: 17.2502 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9979 loss: 0.9979 2022/07/30 13:00:31 - mmengine - INFO - Epoch(train) [33][1820/2505] lr: 5.0000e-05 eta: 17:28:13 time: 0.9248 data_time: 0.0278 memory: 32703 grad_norm: 17.7915 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0334 loss: 1.0334 2022/07/30 13:00:52 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 13:00:52 - mmengine - INFO - Epoch(train) [33][1840/2505] lr: 5.0000e-05 eta: 17:27:55 time: 1.0655 data_time: 0.0311 memory: 32703 grad_norm: 18.3471 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1948 loss: 1.1948 2022/07/30 13:01:10 - mmengine - INFO - Epoch(train) [33][1860/2505] lr: 5.0000e-05 eta: 17:27:33 time: 0.8900 data_time: 0.0267 memory: 32703 grad_norm: 18.6181 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.1566 loss: 1.1566 2022/07/30 13:01:31 - mmengine - INFO - Epoch(train) [33][1880/2505] lr: 5.0000e-05 eta: 17:27:14 time: 1.0573 data_time: 0.0280 memory: 32703 grad_norm: 18.0135 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0673 loss: 1.0673 2022/07/30 13:01:49 - mmengine - INFO - Epoch(train) [33][1900/2505] lr: 5.0000e-05 eta: 17:26:53 time: 0.8922 data_time: 0.0278 memory: 32703 grad_norm: 17.2852 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0041 loss: 1.0041 2022/07/30 13:02:10 - mmengine - INFO - Epoch(train) [33][1920/2505] lr: 5.0000e-05 eta: 17:26:34 time: 1.0595 data_time: 0.0264 memory: 32703 grad_norm: 18.0653 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.2590 loss: 1.2590 2022/07/30 13:02:28 - mmengine - INFO - Epoch(train) [33][1940/2505] lr: 5.0000e-05 eta: 17:26:13 time: 0.9022 data_time: 0.0286 memory: 32703 grad_norm: 18.1135 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 0.9802 loss: 0.9802 2022/07/30 13:02:50 - mmengine - INFO - Epoch(train) [33][1960/2505] lr: 5.0000e-05 eta: 17:25:54 time: 1.0895 data_time: 0.0280 memory: 32703 grad_norm: 18.1020 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0736 loss: 1.0736 2022/07/30 13:03:08 - mmengine - INFO - Epoch(train) [33][1980/2505] lr: 5.0000e-05 eta: 17:25:32 time: 0.8659 data_time: 0.0302 memory: 32703 grad_norm: 17.2742 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9752 loss: 0.9752 2022/07/30 13:03:28 - mmengine - INFO - Epoch(train) [33][2000/2505] lr: 5.0000e-05 eta: 17:25:13 time: 1.0018 data_time: 0.0297 memory: 32703 grad_norm: 18.2639 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1481 loss: 1.1481 2022/07/30 13:03:48 - mmengine - INFO - Epoch(train) [33][2020/2505] lr: 5.0000e-05 eta: 17:24:53 time: 1.0320 data_time: 0.0291 memory: 32703 grad_norm: 17.6412 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1350 loss: 1.1350 2022/07/30 13:04:07 - mmengine - INFO - Epoch(train) [33][2040/2505] lr: 5.0000e-05 eta: 17:24:33 time: 0.9611 data_time: 0.0278 memory: 32703 grad_norm: 18.4989 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1604 loss: 1.1604 2022/07/30 13:04:27 - mmengine - INFO - Epoch(train) [33][2060/2505] lr: 5.0000e-05 eta: 17:24:13 time: 0.9864 data_time: 0.0281 memory: 32703 grad_norm: 17.6780 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1028 loss: 1.1028 2022/07/30 13:04:46 - mmengine - INFO - Epoch(train) [33][2080/2505] lr: 5.0000e-05 eta: 17:23:53 time: 0.9520 data_time: 0.0263 memory: 32703 grad_norm: 17.3931 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0151 loss: 1.0151 2022/07/30 13:05:07 - mmengine - INFO - Epoch(train) [33][2100/2505] lr: 5.0000e-05 eta: 17:23:34 time: 1.0471 data_time: 0.0287 memory: 32703 grad_norm: 18.5767 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1732 loss: 1.1732 2022/07/30 13:05:25 - mmengine - INFO - Epoch(train) [33][2120/2505] lr: 5.0000e-05 eta: 17:23:12 time: 0.9099 data_time: 0.0273 memory: 32703 grad_norm: 17.8720 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9315 loss: 0.9315 2022/07/30 13:05:45 - mmengine - INFO - Epoch(train) [33][2140/2505] lr: 5.0000e-05 eta: 17:22:53 time: 1.0011 data_time: 0.0284 memory: 32703 grad_norm: 18.0219 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0949 loss: 1.0949 2022/07/30 13:06:05 - mmengine - INFO - Epoch(train) [33][2160/2505] lr: 5.0000e-05 eta: 17:22:32 time: 0.9708 data_time: 0.0255 memory: 32703 grad_norm: 18.4017 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0081 loss: 1.0081 2022/07/30 13:06:24 - mmengine - INFO - Epoch(train) [33][2180/2505] lr: 5.0000e-05 eta: 17:22:12 time: 0.9698 data_time: 0.0307 memory: 32703 grad_norm: 18.4630 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0699 loss: 1.0699 2022/07/30 13:06:45 - mmengine - INFO - Epoch(train) [33][2200/2505] lr: 5.0000e-05 eta: 17:21:53 time: 1.0364 data_time: 0.0268 memory: 32703 grad_norm: 17.8328 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0512 loss: 1.0512 2022/07/30 13:07:04 - mmengine - INFO - Epoch(train) [33][2220/2505] lr: 5.0000e-05 eta: 17:21:32 time: 0.9390 data_time: 0.0606 memory: 32703 grad_norm: 18.5782 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1390 loss: 1.1390 2022/07/30 13:07:24 - mmengine - INFO - Epoch(train) [33][2240/2505] lr: 5.0000e-05 eta: 17:21:13 time: 1.0068 data_time: 0.1049 memory: 32703 grad_norm: 17.6472 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1343 loss: 1.1343 2022/07/30 13:07:44 - mmengine - INFO - Epoch(train) [33][2260/2505] lr: 5.0000e-05 eta: 17:20:53 time: 1.0019 data_time: 0.2621 memory: 32703 grad_norm: 18.2570 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1341 loss: 1.1341 2022/07/30 13:08:03 - mmengine - INFO - Epoch(train) [33][2280/2505] lr: 5.0000e-05 eta: 17:20:32 time: 0.9550 data_time: 0.1949 memory: 32703 grad_norm: 18.6672 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1533 loss: 1.1533 2022/07/30 13:08:22 - mmengine - INFO - Epoch(train) [33][2300/2505] lr: 5.0000e-05 eta: 17:20:12 time: 0.9612 data_time: 0.2093 memory: 32703 grad_norm: 17.4751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0828 loss: 1.0828 2022/07/30 13:08:42 - mmengine - INFO - Epoch(train) [33][2320/2505] lr: 5.0000e-05 eta: 17:19:52 time: 1.0025 data_time: 0.1821 memory: 32703 grad_norm: 17.6321 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0488 loss: 1.0488 2022/07/30 13:09:02 - mmengine - INFO - Epoch(train) [33][2340/2505] lr: 5.0000e-05 eta: 17:19:32 time: 0.9624 data_time: 0.1707 memory: 32703 grad_norm: 18.3093 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2061 loss: 1.2061 2022/07/30 13:09:21 - mmengine - INFO - Epoch(train) [33][2360/2505] lr: 5.0000e-05 eta: 17:19:12 time: 0.9586 data_time: 0.2206 memory: 32703 grad_norm: 17.8724 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3298 loss: 1.3298 2022/07/30 13:09:41 - mmengine - INFO - Epoch(train) [33][2380/2505] lr: 5.0000e-05 eta: 17:18:52 time: 0.9949 data_time: 0.2887 memory: 32703 grad_norm: 18.4652 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8788 loss: 0.8788 2022/07/30 13:09:59 - mmengine - INFO - Epoch(train) [33][2400/2505] lr: 5.0000e-05 eta: 17:18:31 time: 0.9381 data_time: 0.2403 memory: 32703 grad_norm: 18.0030 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9290 loss: 0.9290 2022/07/30 13:10:21 - mmengine - INFO - Epoch(train) [33][2420/2505] lr: 5.0000e-05 eta: 17:18:12 time: 1.0567 data_time: 0.4451 memory: 32703 grad_norm: 17.7028 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0739 loss: 1.0739 2022/07/30 13:10:39 - mmengine - INFO - Epoch(train) [33][2440/2505] lr: 5.0000e-05 eta: 17:17:51 time: 0.9098 data_time: 0.3353 memory: 32703 grad_norm: 18.2546 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1783 loss: 1.1783 2022/07/30 13:10:59 - mmengine - INFO - Epoch(train) [33][2460/2505] lr: 5.0000e-05 eta: 17:17:32 time: 1.0205 data_time: 0.4148 memory: 32703 grad_norm: 17.5915 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9241 loss: 0.9241 2022/07/30 13:11:18 - mmengine - INFO - Epoch(train) [33][2480/2505] lr: 5.0000e-05 eta: 17:17:11 time: 0.9156 data_time: 0.3232 memory: 32703 grad_norm: 18.4757 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0301 loss: 1.0301 2022/07/30 13:11:35 - mmengine - INFO - Epoch(train) [33][2500/2505] lr: 5.0000e-05 eta: 17:16:49 time: 0.8801 data_time: 0.2879 memory: 32703 grad_norm: 18.0092 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.2294 loss: 1.2294 2022/07/30 13:11:38 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 13:11:38 - mmengine - INFO - Epoch(train) [33][2505/2505] lr: 5.0000e-05 eta: 17:16:49 time: 0.6964 data_time: 0.1391 memory: 32703 grad_norm: 18.6606 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3134 loss: 1.3134 2022/07/30 13:11:40 - mmengine - INFO - Epoch(val) [33][20/2475] eta: 0:04:39 time: 0.1140 data_time: 0.0825 memory: 817 2022/07/30 13:11:42 - mmengine - INFO - Epoch(val) [33][40/2475] eta: 0:03:01 time: 0.0747 data_time: 0.0435 memory: 817 2022/07/30 13:11:44 - mmengine - INFO - Epoch(val) [33][60/2475] eta: 0:03:51 time: 0.0958 data_time: 0.0664 memory: 817 2022/07/30 13:11:45 - mmengine - INFO - Epoch(val) [33][80/2475] eta: 0:02:53 time: 0.0725 data_time: 0.0408 memory: 817 2022/07/30 13:11:47 - mmengine - INFO - Epoch(val) [33][100/2475] eta: 0:03:55 time: 0.0994 data_time: 0.0677 memory: 817 2022/07/30 13:11:48 - mmengine - INFO - Epoch(val) [33][120/2475] eta: 0:02:40 time: 0.0682 data_time: 0.0373 memory: 817 2022/07/30 13:11:50 - mmengine - INFO - Epoch(val) [33][140/2475] eta: 0:03:27 time: 0.0888 data_time: 0.0577 memory: 817 2022/07/30 13:11:52 - mmengine - INFO - Epoch(val) [33][160/2475] eta: 0:03:13 time: 0.0835 data_time: 0.0425 memory: 817 2022/07/30 13:11:54 - mmengine - INFO - Epoch(val) [33][180/2475] eta: 0:03:19 time: 0.0870 data_time: 0.0534 memory: 817 2022/07/30 13:11:55 - mmengine - INFO - Epoch(val) [33][200/2475] eta: 0:02:20 time: 0.0617 data_time: 0.0302 memory: 817 2022/07/30 13:11:57 - mmengine - INFO - Epoch(val) [33][220/2475] eta: 0:03:24 time: 0.0906 data_time: 0.0587 memory: 817 2022/07/30 13:11:58 - mmengine - INFO - Epoch(val) [33][240/2475] eta: 0:02:34 time: 0.0690 data_time: 0.0386 memory: 817 2022/07/30 13:12:00 - mmengine - INFO - Epoch(val) [33][260/2475] eta: 0:03:13 time: 0.0874 data_time: 0.0576 memory: 817 2022/07/30 13:12:01 - mmengine - INFO - Epoch(val) [33][280/2475] eta: 0:02:24 time: 0.0659 data_time: 0.0353 memory: 817 2022/07/30 13:12:03 - mmengine - INFO - Epoch(val) [33][300/2475] eta: 0:03:25 time: 0.0943 data_time: 0.0630 memory: 817 2022/07/30 13:12:04 - mmengine - INFO - Epoch(val) [33][320/2475] eta: 0:02:23 time: 0.0665 data_time: 0.0359 memory: 817 2022/07/30 13:12:06 - mmengine - INFO - Epoch(val) [33][340/2475] eta: 0:03:13 time: 0.0905 data_time: 0.0584 memory: 817 2022/07/30 13:12:07 - mmengine - INFO - Epoch(val) [33][360/2475] eta: 0:02:08 time: 0.0605 data_time: 0.0299 memory: 817 2022/07/30 13:12:09 - mmengine - INFO - Epoch(val) [33][380/2475] eta: 0:02:45 time: 0.0791 data_time: 0.0481 memory: 817 2022/07/30 13:12:10 - mmengine - INFO - Epoch(val) [33][400/2475] eta: 0:02:28 time: 0.0714 data_time: 0.0397 memory: 817 2022/07/30 13:12:12 - mmengine - INFO - Epoch(val) [33][420/2475] eta: 0:02:38 time: 0.0770 data_time: 0.0379 memory: 817 2022/07/30 13:12:14 - mmengine - INFO - Epoch(val) [33][440/2475] eta: 0:02:46 time: 0.0821 data_time: 0.0513 memory: 817 2022/07/30 13:12:15 - mmengine - INFO - Epoch(val) [33][460/2475] eta: 0:02:39 time: 0.0793 data_time: 0.0475 memory: 817 2022/07/30 13:12:17 - mmengine - INFO - Epoch(val) [33][480/2475] eta: 0:02:56 time: 0.0885 data_time: 0.0576 memory: 817 2022/07/30 13:12:18 - mmengine - INFO - Epoch(val) [33][500/2475] eta: 0:02:17 time: 0.0694 data_time: 0.0388 memory: 817 2022/07/30 13:12:20 - mmengine - INFO - Epoch(val) [33][520/2475] eta: 0:02:47 time: 0.0859 data_time: 0.0537 memory: 817 2022/07/30 13:12:22 - mmengine - INFO - Epoch(val) [33][540/2475] eta: 0:02:48 time: 0.0872 data_time: 0.0549 memory: 817 2022/07/30 13:12:24 - mmengine - INFO - Epoch(val) [33][560/2475] eta: 0:02:49 time: 0.0885 data_time: 0.0534 memory: 817 2022/07/30 13:12:25 - mmengine - INFO - Epoch(val) [33][580/2475] eta: 0:02:29 time: 0.0787 data_time: 0.0472 memory: 817 2022/07/30 13:12:27 - mmengine - INFO - Epoch(val) [33][600/2475] eta: 0:02:50 time: 0.0911 data_time: 0.0609 memory: 817 2022/07/30 13:12:28 - mmengine - INFO - Epoch(val) [33][620/2475] eta: 0:02:17 time: 0.0744 data_time: 0.0445 memory: 817 2022/07/30 13:12:30 - mmengine - INFO - Epoch(val) [33][640/2475] eta: 0:02:43 time: 0.0890 data_time: 0.0583 memory: 817 2022/07/30 13:12:32 - mmengine - INFO - Epoch(val) [33][660/2475] eta: 0:02:11 time: 0.0724 data_time: 0.0409 memory: 817 2022/07/30 13:12:34 - mmengine - INFO - Epoch(val) [33][680/2475] eta: 0:03:06 time: 0.1037 data_time: 0.0732 memory: 817 2022/07/30 13:12:35 - mmengine - INFO - Epoch(val) [33][700/2475] eta: 0:02:13 time: 0.0752 data_time: 0.0438 memory: 817 2022/07/30 13:12:37 - mmengine - INFO - Epoch(val) [33][720/2475] eta: 0:02:19 time: 0.0796 data_time: 0.0476 memory: 817 2022/07/30 13:12:38 - mmengine - INFO - Epoch(val) [33][740/2475] eta: 0:01:54 time: 0.0658 data_time: 0.0348 memory: 817 2022/07/30 13:12:40 - mmengine - INFO - Epoch(val) [33][760/2475] eta: 0:02:39 time: 0.0932 data_time: 0.0614 memory: 817 2022/07/30 13:12:42 - mmengine - INFO - Epoch(val) [33][780/2475] eta: 0:02:05 time: 0.0739 data_time: 0.0360 memory: 817 2022/07/30 13:12:43 - mmengine - INFO - Epoch(val) [33][800/2475] eta: 0:02:22 time: 0.0850 data_time: 0.0555 memory: 817 2022/07/30 13:12:45 - mmengine - INFO - Epoch(val) [33][820/2475] eta: 0:01:54 time: 0.0689 data_time: 0.0391 memory: 817 2022/07/30 13:12:47 - mmengine - INFO - Epoch(val) [33][840/2475] eta: 0:02:42 time: 0.0994 data_time: 0.0688 memory: 817 2022/07/30 13:12:48 - mmengine - INFO - Epoch(val) [33][860/2475] eta: 0:01:35 time: 0.0592 data_time: 0.0287 memory: 817 2022/07/30 13:12:50 - mmengine - INFO - Epoch(val) [33][880/2475] eta: 0:02:27 time: 0.0923 data_time: 0.0613 memory: 817 2022/07/30 13:12:51 - mmengine - INFO - Epoch(val) [33][900/2475] eta: 0:02:05 time: 0.0797 data_time: 0.0480 memory: 817 2022/07/30 13:12:53 - mmengine - INFO - Epoch(val) [33][920/2475] eta: 0:02:11 time: 0.0843 data_time: 0.0523 memory: 817 2022/07/30 13:12:55 - mmengine - INFO - Epoch(val) [33][940/2475] eta: 0:02:10 time: 0.0849 data_time: 0.0547 memory: 817 2022/07/30 13:12:57 - mmengine - INFO - Epoch(val) [33][960/2475] eta: 0:02:44 time: 0.1085 data_time: 0.0764 memory: 817 2022/07/30 13:12:58 - mmengine - INFO - Epoch(val) [33][980/2475] eta: 0:01:40 time: 0.0671 data_time: 0.0341 memory: 817 2022/07/30 13:13:00 - mmengine - INFO - Epoch(val) [33][1000/2475] eta: 0:02:10 time: 0.0886 data_time: 0.0565 memory: 817 2022/07/30 13:13:02 - mmengine - INFO - Epoch(val) [33][1020/2475] eta: 0:01:58 time: 0.0811 data_time: 0.0360 memory: 817 2022/07/30 13:13:03 - mmengine - INFO - Epoch(val) [33][1040/2475] eta: 0:01:51 time: 0.0778 data_time: 0.0443 memory: 817 2022/07/30 13:13:05 - mmengine - INFO - Epoch(val) [33][1060/2475] eta: 0:01:57 time: 0.0827 data_time: 0.0506 memory: 817 2022/07/30 13:13:06 - mmengine - INFO - Epoch(val) [33][1080/2475] eta: 0:01:53 time: 0.0817 data_time: 0.0502 memory: 817 2022/07/30 13:13:08 - mmengine - INFO - Epoch(val) [33][1100/2475] eta: 0:01:34 time: 0.0689 data_time: 0.0376 memory: 817 2022/07/30 13:13:10 - mmengine - INFO - Epoch(val) [33][1120/2475] eta: 0:02:14 time: 0.0995 data_time: 0.0687 memory: 817 2022/07/30 13:13:11 - mmengine - INFO - Epoch(val) [33][1140/2475] eta: 0:01:22 time: 0.0618 data_time: 0.0303 memory: 817 2022/07/30 13:13:13 - mmengine - INFO - Epoch(val) [33][1160/2475] eta: 0:01:50 time: 0.0844 data_time: 0.0502 memory: 817 2022/07/30 13:13:14 - mmengine - INFO - Epoch(val) [33][1180/2475] eta: 0:01:20 time: 0.0625 data_time: 0.0314 memory: 817 2022/07/30 13:13:16 - mmengine - INFO - Epoch(val) [33][1200/2475] eta: 0:02:03 time: 0.0965 data_time: 0.0652 memory: 817 2022/07/30 13:13:17 - mmengine - INFO - Epoch(val) [33][1220/2475] eta: 0:01:36 time: 0.0768 data_time: 0.0454 memory: 817 2022/07/30 13:13:20 - mmengine - INFO - Epoch(val) [33][1240/2475] eta: 0:02:07 time: 0.1033 data_time: 0.0714 memory: 817 2022/07/30 13:13:21 - mmengine - INFO - Epoch(val) [33][1260/2475] eta: 0:01:25 time: 0.0703 data_time: 0.0403 memory: 817 2022/07/30 13:13:23 - mmengine - INFO - Epoch(val) [33][1280/2475] eta: 0:01:59 time: 0.1003 data_time: 0.0693 memory: 817 2022/07/30 13:13:25 - mmengine - INFO - Epoch(val) [33][1300/2475] eta: 0:01:30 time: 0.0774 data_time: 0.0470 memory: 817 2022/07/30 13:13:26 - mmengine - INFO - Epoch(val) [33][1320/2475] eta: 0:01:39 time: 0.0859 data_time: 0.0561 memory: 817 2022/07/30 13:13:28 - mmengine - INFO - Epoch(val) [33][1340/2475] eta: 0:01:16 time: 0.0678 data_time: 0.0371 memory: 817 2022/07/30 13:13:29 - mmengine - INFO - Epoch(val) [33][1360/2475] eta: 0:01:31 time: 0.0820 data_time: 0.0496 memory: 817 2022/07/30 13:13:31 - mmengine - INFO - Epoch(val) [33][1380/2475] eta: 0:01:25 time: 0.0780 data_time: 0.0445 memory: 817 2022/07/30 13:13:32 - mmengine - INFO - Epoch(val) [33][1400/2475] eta: 0:01:21 time: 0.0759 data_time: 0.0454 memory: 817 2022/07/30 13:13:34 - mmengine - INFO - Epoch(val) [33][1420/2475] eta: 0:01:39 time: 0.0946 data_time: 0.0649 memory: 817 2022/07/30 13:13:36 - mmengine - INFO - Epoch(val) [33][1440/2475] eta: 0:01:10 time: 0.0677 data_time: 0.0365 memory: 817 2022/07/30 13:13:37 - mmengine - INFO - Epoch(val) [33][1460/2475] eta: 0:01:27 time: 0.0860 data_time: 0.0553 memory: 817 2022/07/30 13:13:39 - mmengine - INFO - Epoch(val) [33][1480/2475] eta: 0:01:20 time: 0.0809 data_time: 0.0500 memory: 817 2022/07/30 13:13:41 - mmengine - INFO - Epoch(val) [33][1500/2475] eta: 0:01:17 time: 0.0794 data_time: 0.0440 memory: 817 2022/07/30 13:13:42 - mmengine - INFO - Epoch(val) [33][1520/2475] eta: 0:01:12 time: 0.0757 data_time: 0.0360 memory: 817 2022/07/30 13:13:44 - mmengine - INFO - Epoch(val) [33][1540/2475] eta: 0:01:18 time: 0.0840 data_time: 0.0520 memory: 817 2022/07/30 13:13:45 - mmengine - INFO - Epoch(val) [33][1560/2475] eta: 0:01:04 time: 0.0700 data_time: 0.0382 memory: 817 2022/07/30 13:13:47 - mmengine - INFO - Epoch(val) [33][1580/2475] eta: 0:01:17 time: 0.0866 data_time: 0.0550 memory: 817 2022/07/30 13:13:49 - mmengine - INFO - Epoch(val) [33][1600/2475] eta: 0:01:12 time: 0.0827 data_time: 0.0512 memory: 817 2022/07/30 13:13:50 - mmengine - INFO - Epoch(val) [33][1620/2475] eta: 0:01:05 time: 0.0760 data_time: 0.0450 memory: 817 2022/07/30 13:13:52 - mmengine - INFO - Epoch(val) [33][1640/2475] eta: 0:01:03 time: 0.0759 data_time: 0.0446 memory: 817 2022/07/30 13:13:53 - mmengine - INFO - Epoch(val) [33][1660/2475] eta: 0:01:09 time: 0.0855 data_time: 0.0550 memory: 817 2022/07/30 13:13:55 - mmengine - INFO - Epoch(val) [33][1680/2475] eta: 0:01:04 time: 0.0817 data_time: 0.0474 memory: 817 2022/07/30 13:13:57 - mmengine - INFO - Epoch(val) [33][1700/2475] eta: 0:01:11 time: 0.0928 data_time: 0.0611 memory: 817 2022/07/30 13:13:58 - mmengine - INFO - Epoch(val) [33][1720/2475] eta: 0:00:49 time: 0.0656 data_time: 0.0335 memory: 817 2022/07/30 13:14:00 - mmengine - INFO - Epoch(val) [33][1740/2475] eta: 0:01:05 time: 0.0892 data_time: 0.0567 memory: 817 2022/07/30 13:14:02 - mmengine - INFO - Epoch(val) [33][1760/2475] eta: 0:01:12 time: 0.1019 data_time: 0.0591 memory: 817 2022/07/30 13:14:03 - mmengine - INFO - Epoch(val) [33][1780/2475] eta: 0:00:42 time: 0.0607 data_time: 0.0195 memory: 817 2022/07/30 13:14:05 - mmengine - INFO - Epoch(val) [33][1800/2475] eta: 0:00:53 time: 0.0800 data_time: 0.0486 memory: 817 2022/07/30 13:14:06 - mmengine - INFO - Epoch(val) [33][1820/2475] eta: 0:00:51 time: 0.0786 data_time: 0.0476 memory: 817 2022/07/30 13:14:08 - mmengine - INFO - Epoch(val) [33][1840/2475] eta: 0:00:56 time: 0.0883 data_time: 0.0560 memory: 817 2022/07/30 13:14:09 - mmengine - INFO - Epoch(val) [33][1860/2475] eta: 0:00:41 time: 0.0668 data_time: 0.0340 memory: 817 2022/07/30 13:14:11 - mmengine - INFO - Epoch(val) [33][1880/2475] eta: 0:00:56 time: 0.0942 data_time: 0.0608 memory: 817 2022/07/30 13:14:13 - mmengine - INFO - Epoch(val) [33][1900/2475] eta: 0:00:41 time: 0.0727 data_time: 0.0404 memory: 817 2022/07/30 13:14:14 - mmengine - INFO - Epoch(val) [33][1920/2475] eta: 0:00:43 time: 0.0776 data_time: 0.0465 memory: 817 2022/07/30 13:14:16 - mmengine - INFO - Epoch(val) [33][1940/2475] eta: 0:00:46 time: 0.0870 data_time: 0.0565 memory: 817 2022/07/30 13:14:17 - mmengine - INFO - Epoch(val) [33][1960/2475] eta: 0:00:35 time: 0.0689 data_time: 0.0374 memory: 817 2022/07/30 13:14:19 - mmengine - INFO - Epoch(val) [33][1980/2475] eta: 0:00:42 time: 0.0865 data_time: 0.0563 memory: 817 2022/07/30 13:14:21 - mmengine - INFO - Epoch(val) [33][2000/2475] eta: 0:00:35 time: 0.0755 data_time: 0.0429 memory: 817 2022/07/30 13:14:22 - mmengine - INFO - Epoch(val) [33][2020/2475] eta: 0:00:36 time: 0.0798 data_time: 0.0482 memory: 817 2022/07/30 13:14:24 - mmengine - INFO - Epoch(val) [33][2040/2475] eta: 0:00:32 time: 0.0740 data_time: 0.0431 memory: 817 2022/07/30 13:14:26 - mmengine - INFO - Epoch(val) [33][2060/2475] eta: 0:00:35 time: 0.0865 data_time: 0.0550 memory: 817 2022/07/30 13:14:27 - mmengine - INFO - Epoch(val) [33][2080/2475] eta: 0:00:28 time: 0.0727 data_time: 0.0416 memory: 817 2022/07/30 13:14:29 - mmengine - INFO - Epoch(val) [33][2100/2475] eta: 0:00:30 time: 0.0811 data_time: 0.0496 memory: 817 2022/07/30 13:14:30 - mmengine - INFO - Epoch(val) [33][2120/2475] eta: 0:00:29 time: 0.0840 data_time: 0.0520 memory: 817 2022/07/30 13:14:32 - mmengine - INFO - Epoch(val) [33][2140/2475] eta: 0:00:24 time: 0.0738 data_time: 0.0422 memory: 817 2022/07/30 13:14:33 - mmengine - INFO - Epoch(val) [33][2160/2475] eta: 0:00:23 time: 0.0748 data_time: 0.0426 memory: 817 2022/07/30 13:14:35 - mmengine - INFO - Epoch(val) [33][2180/2475] eta: 0:00:26 time: 0.0914 data_time: 0.0608 memory: 817 2022/07/30 13:14:37 - mmengine - INFO - Epoch(val) [33][2200/2475] eta: 0:00:21 time: 0.0775 data_time: 0.0460 memory: 817 2022/07/30 13:14:38 - mmengine - INFO - Epoch(val) [33][2220/2475] eta: 0:00:22 time: 0.0881 data_time: 0.0582 memory: 817 2022/07/30 13:14:40 - mmengine - INFO - Epoch(val) [33][2240/2475] eta: 0:00:18 time: 0.0773 data_time: 0.0470 memory: 817 2022/07/30 13:14:42 - mmengine - INFO - Epoch(val) [33][2260/2475] eta: 0:00:20 time: 0.0973 data_time: 0.0656 memory: 817 2022/07/30 13:14:43 - mmengine - INFO - Epoch(val) [33][2280/2475] eta: 0:00:11 time: 0.0572 data_time: 0.0186 memory: 817 2022/07/30 13:14:45 - mmengine - INFO - Epoch(val) [33][2300/2475] eta: 0:00:16 time: 0.0934 data_time: 0.0614 memory: 817 2022/07/30 13:14:46 - mmengine - INFO - Epoch(val) [33][2320/2475] eta: 0:00:11 time: 0.0750 data_time: 0.0435 memory: 817 2022/07/30 13:14:48 - mmengine - INFO - Epoch(val) [33][2340/2475] eta: 0:00:10 time: 0.0753 data_time: 0.0450 memory: 817 2022/07/30 13:14:49 - mmengine - INFO - Epoch(val) [33][2360/2475] eta: 0:00:08 time: 0.0779 data_time: 0.0464 memory: 817 2022/07/30 13:14:51 - mmengine - INFO - Epoch(val) [33][2380/2475] eta: 0:00:08 time: 0.0919 data_time: 0.0606 memory: 817 2022/07/30 13:14:53 - mmengine - INFO - Epoch(val) [33][2400/2475] eta: 0:00:04 time: 0.0661 data_time: 0.0343 memory: 817 2022/07/30 13:14:54 - mmengine - INFO - Epoch(val) [33][2420/2475] eta: 0:00:04 time: 0.0863 data_time: 0.0547 memory: 817 2022/07/30 13:14:56 - mmengine - INFO - Epoch(val) [33][2440/2475] eta: 0:00:02 time: 0.0764 data_time: 0.0446 memory: 817 2022/07/30 13:14:58 - mmengine - INFO - Epoch(val) [33][2460/2475] eta: 0:00:01 time: 0.0889 data_time: 0.0576 memory: 817 2022/07/30 13:15:00 - mmengine - INFO - Epoch(val) [33][2475/2475] acc/top1: 0.7530 acc/top5: 0.9172 acc/mean1: 0.7529 2022/07/30 13:15:00 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_31.pth is removed 2022/07/30 13:15:02 - mmengine - INFO - The best checkpoint with 0.7530 acc/top1 at 34 epoch is saved to best_acc/top1_epoch_34.pth. 2022/07/30 13:15:28 - mmengine - INFO - Epoch(train) [34][20/2505] lr: 5.0000e-05 eta: 17:16:25 time: 1.2899 data_time: 0.6761 memory: 32703 grad_norm: 17.7882 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9876 loss: 0.9876 2022/07/30 13:15:46 - mmengine - INFO - Epoch(train) [34][40/2505] lr: 5.0000e-05 eta: 17:16:04 time: 0.9136 data_time: 0.3454 memory: 32703 grad_norm: 18.0703 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0764 loss: 1.0764 2022/07/30 13:16:07 - mmengine - INFO - Epoch(train) [34][60/2505] lr: 5.0000e-05 eta: 17:15:45 time: 1.0597 data_time: 0.4788 memory: 32703 grad_norm: 17.5255 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9282 loss: 0.9282 2022/07/30 13:16:26 - mmengine - INFO - Epoch(train) [34][80/2505] lr: 5.0000e-05 eta: 17:15:24 time: 0.9390 data_time: 0.3490 memory: 32703 grad_norm: 18.4087 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0587 loss: 1.0587 2022/07/30 13:16:47 - mmengine - INFO - Epoch(train) [34][100/2505] lr: 5.0000e-05 eta: 17:15:05 time: 1.0386 data_time: 0.4034 memory: 32703 grad_norm: 17.1306 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0211 loss: 1.0211 2022/07/30 13:17:05 - mmengine - INFO - Epoch(train) [34][120/2505] lr: 5.0000e-05 eta: 17:14:44 time: 0.9377 data_time: 0.3439 memory: 32703 grad_norm: 18.0983 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1271 loss: 1.1271 2022/07/30 13:17:26 - mmengine - INFO - Epoch(train) [34][140/2505] lr: 5.0000e-05 eta: 17:14:25 time: 1.0519 data_time: 0.4815 memory: 32703 grad_norm: 19.0375 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8609 loss: 0.8609 2022/07/30 13:17:45 - mmengine - INFO - Epoch(train) [34][160/2505] lr: 5.0000e-05 eta: 17:14:04 time: 0.9170 data_time: 0.3159 memory: 32703 grad_norm: 17.7505 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7559 loss: 0.7559 2022/07/30 13:18:05 - mmengine - INFO - Epoch(train) [34][180/2505] lr: 5.0000e-05 eta: 17:13:45 time: 0.9973 data_time: 0.4215 memory: 32703 grad_norm: 17.7874 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9931 loss: 0.9931 2022/07/30 13:18:23 - mmengine - INFO - Epoch(train) [34][200/2505] lr: 5.0000e-05 eta: 17:13:24 time: 0.9276 data_time: 0.3247 memory: 32703 grad_norm: 18.0654 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0579 loss: 1.0579 2022/07/30 13:18:45 - mmengine - INFO - Epoch(train) [34][220/2505] lr: 5.0000e-05 eta: 17:13:05 time: 1.0914 data_time: 0.4956 memory: 32703 grad_norm: 18.5461 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1810 loss: 1.1810 2022/07/30 13:19:03 - mmengine - INFO - Epoch(train) [34][240/2505] lr: 5.0000e-05 eta: 17:12:44 time: 0.8934 data_time: 0.3173 memory: 32703 grad_norm: 18.0215 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9624 loss: 0.9624 2022/07/30 13:19:25 - mmengine - INFO - Epoch(train) [34][260/2505] lr: 5.0000e-05 eta: 17:12:26 time: 1.1090 data_time: 0.3989 memory: 32703 grad_norm: 18.3514 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0492 loss: 1.0492 2022/07/30 13:19:44 - mmengine - INFO - Epoch(train) [34][280/2505] lr: 5.0000e-05 eta: 17:12:05 time: 0.9324 data_time: 0.1159 memory: 32703 grad_norm: 17.7882 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0553 loss: 1.0553 2022/07/30 13:20:06 - mmengine - INFO - Epoch(train) [34][300/2505] lr: 5.0000e-05 eta: 17:11:47 time: 1.1014 data_time: 0.0704 memory: 32703 grad_norm: 18.3124 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1336 loss: 1.1336 2022/07/30 13:20:23 - mmengine - INFO - Epoch(train) [34][320/2505] lr: 5.0000e-05 eta: 17:11:25 time: 0.8378 data_time: 0.1540 memory: 32703 grad_norm: 17.8771 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1236 loss: 1.1236 2022/07/30 13:20:39 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 13:20:46 - mmengine - INFO - Epoch(train) [34][340/2505] lr: 5.0000e-05 eta: 17:11:07 time: 1.1470 data_time: 0.1865 memory: 32703 grad_norm: 18.2225 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1824 loss: 1.1824 2022/07/30 13:21:02 - mmengine - INFO - Epoch(train) [34][360/2505] lr: 5.0000e-05 eta: 17:10:44 time: 0.8045 data_time: 0.0279 memory: 32703 grad_norm: 18.1346 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2018 loss: 1.2018 2022/07/30 13:21:23 - mmengine - INFO - Epoch(train) [34][380/2505] lr: 5.0000e-05 eta: 17:10:26 time: 1.0754 data_time: 0.1520 memory: 32703 grad_norm: 18.1319 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3156 loss: 1.3156 2022/07/30 13:21:41 - mmengine - INFO - Epoch(train) [34][400/2505] lr: 5.0000e-05 eta: 17:10:04 time: 0.8761 data_time: 0.2246 memory: 32703 grad_norm: 18.6035 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1406 loss: 1.1406 2022/07/30 13:22:04 - mmengine - INFO - Epoch(train) [34][420/2505] lr: 5.0000e-05 eta: 17:09:47 time: 1.1752 data_time: 0.2864 memory: 32703 grad_norm: 18.0116 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9832 loss: 0.9832 2022/07/30 13:22:21 - mmengine - INFO - Epoch(train) [34][440/2505] lr: 5.0000e-05 eta: 17:09:25 time: 0.8485 data_time: 0.0404 memory: 32703 grad_norm: 17.7794 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0710 loss: 1.0710 2022/07/30 13:22:42 - mmengine - INFO - Epoch(train) [34][460/2505] lr: 5.0000e-05 eta: 17:09:06 time: 1.0553 data_time: 0.2627 memory: 32703 grad_norm: 18.3699 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2905 loss: 1.2905 2022/07/30 13:23:00 - mmengine - INFO - Epoch(train) [34][480/2505] lr: 5.0000e-05 eta: 17:08:45 time: 0.8928 data_time: 0.1972 memory: 32703 grad_norm: 17.9559 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0222 loss: 1.0222 2022/07/30 13:23:21 - mmengine - INFO - Epoch(train) [34][500/2505] lr: 5.0000e-05 eta: 17:08:26 time: 1.0463 data_time: 0.4130 memory: 32703 grad_norm: 17.6515 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2667 loss: 1.2667 2022/07/30 13:23:40 - mmengine - INFO - Epoch(train) [34][520/2505] lr: 5.0000e-05 eta: 17:08:05 time: 0.9491 data_time: 0.3527 memory: 32703 grad_norm: 18.9229 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0601 loss: 1.0601 2022/07/30 13:24:00 - mmengine - INFO - Epoch(train) [34][540/2505] lr: 5.0000e-05 eta: 17:07:45 time: 0.9777 data_time: 0.3748 memory: 32703 grad_norm: 17.4925 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9509 loss: 0.9509 2022/07/30 13:24:19 - mmengine - INFO - Epoch(train) [34][560/2505] lr: 5.0000e-05 eta: 17:07:24 time: 0.9548 data_time: 0.3648 memory: 32703 grad_norm: 18.5786 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1334 loss: 1.1334 2022/07/30 13:24:39 - mmengine - INFO - Epoch(train) [34][580/2505] lr: 5.0000e-05 eta: 17:07:05 time: 1.0128 data_time: 0.4051 memory: 32703 grad_norm: 17.6631 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9447 loss: 0.9447 2022/07/30 13:24:58 - mmengine - INFO - Epoch(train) [34][600/2505] lr: 5.0000e-05 eta: 17:06:44 time: 0.9194 data_time: 0.3340 memory: 32703 grad_norm: 18.0127 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1792 loss: 1.1792 2022/07/30 13:25:20 - mmengine - INFO - Epoch(train) [34][620/2505] lr: 5.0000e-05 eta: 17:06:26 time: 1.1341 data_time: 0.4813 memory: 32703 grad_norm: 17.4225 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1375 loss: 1.1375 2022/07/30 13:25:38 - mmengine - INFO - Epoch(train) [34][640/2505] lr: 5.0000e-05 eta: 17:06:05 time: 0.8976 data_time: 0.2351 memory: 32703 grad_norm: 17.7520 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1631 loss: 1.1631 2022/07/30 13:25:59 - mmengine - INFO - Epoch(train) [34][660/2505] lr: 5.0000e-05 eta: 17:05:46 time: 1.0448 data_time: 0.3031 memory: 32703 grad_norm: 17.7341 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0530 loss: 1.0530 2022/07/30 13:26:18 - mmengine - INFO - Epoch(train) [34][680/2505] lr: 5.0000e-05 eta: 17:05:25 time: 0.9398 data_time: 0.1171 memory: 32703 grad_norm: 18.2336 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3620 loss: 1.3620 2022/07/30 13:26:38 - mmengine - INFO - Epoch(train) [34][700/2505] lr: 5.0000e-05 eta: 17:05:06 time: 1.0264 data_time: 0.1054 memory: 32703 grad_norm: 18.1128 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0821 loss: 1.0821 2022/07/30 13:26:57 - mmengine - INFO - Epoch(train) [34][720/2505] lr: 5.0000e-05 eta: 17:04:45 time: 0.9209 data_time: 0.1132 memory: 32703 grad_norm: 18.7392 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0626 loss: 1.0626 2022/07/30 13:27:18 - mmengine - INFO - Epoch(train) [34][740/2505] lr: 5.0000e-05 eta: 17:04:26 time: 1.0812 data_time: 0.1415 memory: 32703 grad_norm: 18.0460 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0402 loss: 1.0402 2022/07/30 13:27:37 - mmengine - INFO - Epoch(train) [34][760/2505] lr: 5.0000e-05 eta: 17:04:05 time: 0.9210 data_time: 0.1084 memory: 32703 grad_norm: 17.1081 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1756 loss: 1.1756 2022/07/30 13:27:58 - mmengine - INFO - Epoch(train) [34][780/2505] lr: 5.0000e-05 eta: 17:03:46 time: 1.0460 data_time: 0.0307 memory: 32703 grad_norm: 18.7349 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2118 loss: 1.2118 2022/07/30 13:28:16 - mmengine - INFO - Epoch(train) [34][800/2505] lr: 5.0000e-05 eta: 17:03:25 time: 0.8923 data_time: 0.1533 memory: 32703 grad_norm: 17.5164 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8459 loss: 0.8459 2022/07/30 13:28:37 - mmengine - INFO - Epoch(train) [34][820/2505] lr: 5.0000e-05 eta: 17:03:06 time: 1.0581 data_time: 0.2244 memory: 32703 grad_norm: 17.8291 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8390 loss: 0.8390 2022/07/30 13:28:56 - mmengine - INFO - Epoch(train) [34][840/2505] lr: 5.0000e-05 eta: 17:02:45 time: 0.9370 data_time: 0.2477 memory: 32703 grad_norm: 18.7046 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0913 loss: 1.0913 2022/07/30 13:29:16 - mmengine - INFO - Epoch(train) [34][860/2505] lr: 5.0000e-05 eta: 17:02:26 time: 1.0276 data_time: 0.2075 memory: 32703 grad_norm: 18.3301 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0197 loss: 1.0197 2022/07/30 13:29:36 - mmengine - INFO - Epoch(train) [34][880/2505] lr: 5.0000e-05 eta: 17:02:06 time: 0.9929 data_time: 0.1437 memory: 32703 grad_norm: 19.0120 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1687 loss: 1.1687 2022/07/30 13:29:55 - mmengine - INFO - Epoch(train) [34][900/2505] lr: 5.0000e-05 eta: 17:01:46 time: 0.9596 data_time: 0.1188 memory: 32703 grad_norm: 18.4144 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9986 loss: 0.9986 2022/07/30 13:30:15 - mmengine - INFO - Epoch(train) [34][920/2505] lr: 5.0000e-05 eta: 17:01:26 time: 0.9900 data_time: 0.1901 memory: 32703 grad_norm: 18.0697 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1171 loss: 1.1171 2022/07/30 13:30:36 - mmengine - INFO - Epoch(train) [34][940/2505] lr: 5.0000e-05 eta: 17:01:06 time: 1.0259 data_time: 0.3249 memory: 32703 grad_norm: 17.3094 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9217 loss: 0.9217 2022/07/30 13:30:55 - mmengine - INFO - Epoch(train) [34][960/2505] lr: 5.0000e-05 eta: 17:00:46 time: 0.9575 data_time: 0.1719 memory: 32703 grad_norm: 18.3098 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0321 loss: 1.0321 2022/07/30 13:31:14 - mmengine - INFO - Epoch(train) [34][980/2505] lr: 5.0000e-05 eta: 17:00:26 time: 0.9925 data_time: 0.0996 memory: 32703 grad_norm: 17.1294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1591 loss: 1.1591 2022/07/30 13:31:33 - mmengine - INFO - Epoch(train) [34][1000/2505] lr: 5.0000e-05 eta: 17:00:05 time: 0.9360 data_time: 0.1124 memory: 32703 grad_norm: 18.2694 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.7872 loss: 0.7872 2022/07/30 13:31:54 - mmengine - INFO - Epoch(train) [34][1020/2505] lr: 5.0000e-05 eta: 16:59:47 time: 1.0607 data_time: 0.1464 memory: 32703 grad_norm: 17.9916 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.1944 loss: 1.1944 2022/07/30 13:32:12 - mmengine - INFO - Epoch(train) [34][1040/2505] lr: 5.0000e-05 eta: 16:59:25 time: 0.9033 data_time: 0.0815 memory: 32703 grad_norm: 19.2183 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3177 loss: 1.3177 2022/07/30 13:32:33 - mmengine - INFO - Epoch(train) [34][1060/2505] lr: 5.0000e-05 eta: 16:59:06 time: 1.0274 data_time: 0.0495 memory: 32703 grad_norm: 17.6109 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2120 loss: 1.2120 2022/07/30 13:32:52 - mmengine - INFO - Epoch(train) [34][1080/2505] lr: 5.0000e-05 eta: 16:58:45 time: 0.9267 data_time: 0.0402 memory: 32703 grad_norm: 17.7535 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1724 loss: 1.1724 2022/07/30 13:33:12 - mmengine - INFO - Epoch(train) [34][1100/2505] lr: 5.0000e-05 eta: 16:58:26 time: 1.0237 data_time: 0.0271 memory: 32703 grad_norm: 17.3644 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0098 loss: 1.0098 2022/07/30 13:33:30 - mmengine - INFO - Epoch(train) [34][1120/2505] lr: 5.0000e-05 eta: 16:58:05 time: 0.9077 data_time: 0.0808 memory: 32703 grad_norm: 17.9020 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0559 loss: 1.0559 2022/07/30 13:33:51 - mmengine - INFO - Epoch(train) [34][1140/2505] lr: 5.0000e-05 eta: 16:57:45 time: 1.0282 data_time: 0.0390 memory: 32703 grad_norm: 17.9274 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0095 loss: 1.0095 2022/07/30 13:34:09 - mmengine - INFO - Epoch(train) [34][1160/2505] lr: 5.0000e-05 eta: 16:57:24 time: 0.8954 data_time: 0.0290 memory: 32703 grad_norm: 17.9726 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9418 loss: 0.9418 2022/07/30 13:34:30 - mmengine - INFO - Epoch(train) [34][1180/2505] lr: 5.0000e-05 eta: 16:57:05 time: 1.0422 data_time: 0.0339 memory: 32703 grad_norm: 18.5834 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3722 loss: 1.3722 2022/07/30 13:34:50 - mmengine - INFO - Epoch(train) [34][1200/2505] lr: 5.0000e-05 eta: 16:56:45 time: 1.0022 data_time: 0.0296 memory: 32703 grad_norm: 17.6805 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0776 loss: 1.0776 2022/07/30 13:35:11 - mmengine - INFO - Epoch(train) [34][1220/2505] lr: 5.0000e-05 eta: 16:56:27 time: 1.0816 data_time: 0.0289 memory: 32703 grad_norm: 17.4537 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1918 loss: 1.1918 2022/07/30 13:35:31 - mmengine - INFO - Epoch(train) [34][1240/2505] lr: 5.0000e-05 eta: 16:56:06 time: 0.9620 data_time: 0.0274 memory: 32703 grad_norm: 18.5354 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0023 loss: 1.0023 2022/07/30 13:35:50 - mmengine - INFO - Epoch(train) [34][1260/2505] lr: 5.0000e-05 eta: 16:55:46 time: 0.9594 data_time: 0.0375 memory: 32703 grad_norm: 18.0363 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0699 loss: 1.0699 2022/07/30 13:36:09 - mmengine - INFO - Epoch(train) [34][1280/2505] lr: 5.0000e-05 eta: 16:55:26 time: 0.9894 data_time: 0.0289 memory: 32703 grad_norm: 18.2278 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0902 loss: 1.0902 2022/07/30 13:36:29 - mmengine - INFO - Epoch(train) [34][1300/2505] lr: 5.0000e-05 eta: 16:55:06 time: 0.9555 data_time: 0.0263 memory: 32703 grad_norm: 18.0572 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0317 loss: 1.0317 2022/07/30 13:36:49 - mmengine - INFO - Epoch(train) [34][1320/2505] lr: 5.0000e-05 eta: 16:54:46 time: 1.0187 data_time: 0.0286 memory: 32703 grad_norm: 17.6369 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1313 loss: 1.1313 2022/07/30 13:37:04 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 13:37:07 - mmengine - INFO - Epoch(train) [34][1340/2505] lr: 5.0000e-05 eta: 16:54:25 time: 0.9009 data_time: 0.0305 memory: 32703 grad_norm: 17.3987 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0664 loss: 1.0664 2022/07/30 13:37:28 - mmengine - INFO - Epoch(train) [34][1360/2505] lr: 5.0000e-05 eta: 16:54:06 time: 1.0559 data_time: 0.0259 memory: 32703 grad_norm: 18.5035 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0050 loss: 1.0050 2022/07/30 13:37:46 - mmengine - INFO - Epoch(train) [34][1380/2505] lr: 5.0000e-05 eta: 16:53:45 time: 0.9125 data_time: 0.0295 memory: 32703 grad_norm: 18.4970 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0023 loss: 1.0023 2022/07/30 13:38:08 - mmengine - INFO - Epoch(train) [34][1400/2505] lr: 5.0000e-05 eta: 16:53:26 time: 1.0644 data_time: 0.0577 memory: 32703 grad_norm: 18.4647 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1388 loss: 1.1388 2022/07/30 13:38:25 - mmengine - INFO - Epoch(train) [34][1420/2505] lr: 5.0000e-05 eta: 16:53:04 time: 0.8776 data_time: 0.0293 memory: 32703 grad_norm: 17.3246 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1790 loss: 1.1790 2022/07/30 13:38:47 - mmengine - INFO - Epoch(train) [34][1440/2505] lr: 5.0000e-05 eta: 16:52:46 time: 1.1124 data_time: 0.0333 memory: 32703 grad_norm: 18.3663 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1204 loss: 1.1204 2022/07/30 13:39:06 - mmengine - INFO - Epoch(train) [34][1460/2505] lr: 5.0000e-05 eta: 16:52:26 time: 0.9383 data_time: 0.0282 memory: 32703 grad_norm: 18.2268 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3140 loss: 1.3140 2022/07/30 13:39:27 - mmengine - INFO - Epoch(train) [34][1480/2505] lr: 5.0000e-05 eta: 16:52:07 time: 1.0520 data_time: 0.0327 memory: 32703 grad_norm: 17.5479 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9588 loss: 0.9588 2022/07/30 13:39:46 - mmengine - INFO - Epoch(train) [34][1500/2505] lr: 5.0000e-05 eta: 16:51:46 time: 0.9158 data_time: 0.0277 memory: 32703 grad_norm: 17.8401 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1689 loss: 1.1689 2022/07/30 13:40:06 - mmengine - INFO - Epoch(train) [34][1520/2505] lr: 5.0000e-05 eta: 16:51:26 time: 1.0144 data_time: 0.0318 memory: 32703 grad_norm: 18.1260 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0947 loss: 1.0947 2022/07/30 13:40:24 - mmengine - INFO - Epoch(train) [34][1540/2505] lr: 5.0000e-05 eta: 16:51:05 time: 0.9018 data_time: 0.0638 memory: 32703 grad_norm: 17.8828 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0957 loss: 1.0957 2022/07/30 13:40:45 - mmengine - INFO - Epoch(train) [34][1560/2505] lr: 5.0000e-05 eta: 16:50:46 time: 1.0620 data_time: 0.0265 memory: 32703 grad_norm: 17.5918 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0075 loss: 1.0075 2022/07/30 13:41:04 - mmengine - INFO - Epoch(train) [34][1580/2505] lr: 5.0000e-05 eta: 16:50:26 time: 0.9497 data_time: 0.1591 memory: 32703 grad_norm: 18.3283 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8940 loss: 0.8940 2022/07/30 13:41:24 - mmengine - INFO - Epoch(train) [34][1600/2505] lr: 5.0000e-05 eta: 16:50:06 time: 0.9975 data_time: 0.1252 memory: 32703 grad_norm: 18.4674 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0032 loss: 1.0032 2022/07/30 13:41:43 - mmengine - INFO - Epoch(train) [34][1620/2505] lr: 5.0000e-05 eta: 16:49:45 time: 0.9525 data_time: 0.1624 memory: 32703 grad_norm: 17.9557 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9611 loss: 0.9611 2022/07/30 13:42:04 - mmengine - INFO - Epoch(train) [34][1640/2505] lr: 5.0000e-05 eta: 16:49:26 time: 1.0138 data_time: 0.0986 memory: 32703 grad_norm: 17.8030 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1847 loss: 1.1847 2022/07/30 13:42:22 - mmengine - INFO - Epoch(train) [34][1660/2505] lr: 5.0000e-05 eta: 16:49:05 time: 0.9380 data_time: 0.1143 memory: 32703 grad_norm: 18.6146 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8695 loss: 0.8695 2022/07/30 13:42:43 - mmengine - INFO - Epoch(train) [34][1680/2505] lr: 5.0000e-05 eta: 16:48:46 time: 1.0167 data_time: 0.1055 memory: 32703 grad_norm: 19.2957 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0553 loss: 1.0553 2022/07/30 13:43:03 - mmengine - INFO - Epoch(train) [34][1700/2505] lr: 5.0000e-05 eta: 16:48:26 time: 1.0211 data_time: 0.3733 memory: 32703 grad_norm: 18.1344 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0662 loss: 1.0662 2022/07/30 13:43:22 - mmengine - INFO - Epoch(train) [34][1720/2505] lr: 5.0000e-05 eta: 16:48:06 time: 0.9533 data_time: 0.3709 memory: 32703 grad_norm: 18.6837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1211 loss: 1.1211 2022/07/30 13:43:43 - mmengine - INFO - Epoch(train) [34][1740/2505] lr: 5.0000e-05 eta: 16:47:47 time: 1.0434 data_time: 0.4408 memory: 32703 grad_norm: 17.7711 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8905 loss: 0.8905 2022/07/30 13:44:02 - mmengine - INFO - Epoch(train) [34][1760/2505] lr: 5.0000e-05 eta: 16:47:26 time: 0.9555 data_time: 0.3743 memory: 32703 grad_norm: 17.4027 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3147 loss: 1.3147 2022/07/30 13:44:23 - mmengine - INFO - Epoch(train) [34][1780/2505] lr: 5.0000e-05 eta: 16:47:07 time: 1.0470 data_time: 0.4443 memory: 32703 grad_norm: 18.2240 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1917 loss: 1.1917 2022/07/30 13:44:41 - mmengine - INFO - Epoch(train) [34][1800/2505] lr: 5.0000e-05 eta: 16:46:46 time: 0.9059 data_time: 0.3170 memory: 32703 grad_norm: 17.9865 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9296 loss: 0.9296 2022/07/30 13:45:02 - mmengine - INFO - Epoch(train) [34][1820/2505] lr: 5.0000e-05 eta: 16:46:27 time: 1.0413 data_time: 0.4393 memory: 32703 grad_norm: 18.7119 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1260 loss: 1.1260 2022/07/30 13:45:21 - mmengine - INFO - Epoch(train) [34][1840/2505] lr: 5.0000e-05 eta: 16:46:06 time: 0.9261 data_time: 0.3460 memory: 32703 grad_norm: 17.7941 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0649 loss: 1.0649 2022/07/30 13:45:42 - mmengine - INFO - Epoch(train) [34][1860/2505] lr: 5.0000e-05 eta: 16:45:47 time: 1.0685 data_time: 0.4778 memory: 32703 grad_norm: 19.1213 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1302 loss: 1.1302 2022/07/30 13:46:00 - mmengine - INFO - Epoch(train) [34][1880/2505] lr: 5.0000e-05 eta: 16:45:26 time: 0.9206 data_time: 0.3407 memory: 32703 grad_norm: 17.7654 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1605 loss: 1.1605 2022/07/30 13:46:22 - mmengine - INFO - Epoch(train) [34][1900/2505] lr: 5.0000e-05 eta: 16:45:08 time: 1.0774 data_time: 0.4874 memory: 32703 grad_norm: 19.1839 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.2182 loss: 1.2182 2022/07/30 13:46:40 - mmengine - INFO - Epoch(train) [34][1920/2505] lr: 5.0000e-05 eta: 16:44:47 time: 0.9174 data_time: 0.3302 memory: 32703 grad_norm: 18.7091 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1529 loss: 1.1529 2022/07/30 13:47:01 - mmengine - INFO - Epoch(train) [34][1940/2505] lr: 5.0000e-05 eta: 16:44:27 time: 1.0211 data_time: 0.4313 memory: 32703 grad_norm: 18.0645 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9826 loss: 0.9826 2022/07/30 13:47:19 - mmengine - INFO - Epoch(train) [34][1960/2505] lr: 5.0000e-05 eta: 16:44:06 time: 0.9125 data_time: 0.3152 memory: 32703 grad_norm: 18.2666 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1793 loss: 1.1793 2022/07/30 13:47:41 - mmengine - INFO - Epoch(train) [34][1980/2505] lr: 5.0000e-05 eta: 16:43:48 time: 1.0844 data_time: 0.4933 memory: 32703 grad_norm: 18.4905 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1635 loss: 1.1635 2022/07/30 13:47:59 - mmengine - INFO - Epoch(train) [34][2000/2505] lr: 5.0000e-05 eta: 16:43:26 time: 0.9037 data_time: 0.3052 memory: 32703 grad_norm: 18.2691 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2449 loss: 1.2449 2022/07/30 13:48:20 - mmengine - INFO - Epoch(train) [34][2020/2505] lr: 5.0000e-05 eta: 16:43:07 time: 1.0435 data_time: 0.4468 memory: 32703 grad_norm: 18.0870 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1082 loss: 1.1082 2022/07/30 13:48:37 - mmengine - INFO - Epoch(train) [34][2040/2505] lr: 5.0000e-05 eta: 16:42:46 time: 0.8845 data_time: 0.2906 memory: 32703 grad_norm: 17.7719 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1233 loss: 1.1233 2022/07/30 13:48:59 - mmengine - INFO - Epoch(train) [34][2060/2505] lr: 5.0000e-05 eta: 16:42:27 time: 1.0796 data_time: 0.4831 memory: 32703 grad_norm: 17.9207 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9997 loss: 0.9997 2022/07/30 13:49:17 - mmengine - INFO - Epoch(train) [34][2080/2505] lr: 5.0000e-05 eta: 16:42:06 time: 0.9199 data_time: 0.3204 memory: 32703 grad_norm: 18.7644 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9304 loss: 0.9304 2022/07/30 13:49:37 - mmengine - INFO - Epoch(train) [34][2100/2505] lr: 5.0000e-05 eta: 16:41:47 time: 0.9979 data_time: 0.4202 memory: 32703 grad_norm: 18.7257 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1860 loss: 1.1860 2022/07/30 13:49:55 - mmengine - INFO - Epoch(train) [34][2120/2505] lr: 5.0000e-05 eta: 16:41:25 time: 0.8773 data_time: 0.2830 memory: 32703 grad_norm: 17.9785 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.3006 loss: 1.3006 2022/07/30 13:50:16 - mmengine - INFO - Epoch(train) [34][2140/2505] lr: 5.0000e-05 eta: 16:41:06 time: 1.0737 data_time: 0.4803 memory: 32703 grad_norm: 18.6391 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2671 loss: 1.2671 2022/07/30 13:50:34 - mmengine - INFO - Epoch(train) [34][2160/2505] lr: 5.0000e-05 eta: 16:40:45 time: 0.8905 data_time: 0.3085 memory: 32703 grad_norm: 18.2607 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0350 loss: 1.0350 2022/07/30 13:50:55 - mmengine - INFO - Epoch(train) [34][2180/2505] lr: 5.0000e-05 eta: 16:40:26 time: 1.0560 data_time: 0.4523 memory: 32703 grad_norm: 18.1122 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1829 loss: 1.1829 2022/07/30 13:51:14 - mmengine - INFO - Epoch(train) [34][2200/2505] lr: 5.0000e-05 eta: 16:40:05 time: 0.9246 data_time: 0.3502 memory: 32703 grad_norm: 17.5650 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0684 loss: 1.0684 2022/07/30 13:51:34 - mmengine - INFO - Epoch(train) [34][2220/2505] lr: 5.0000e-05 eta: 16:39:46 time: 1.0376 data_time: 0.4375 memory: 32703 grad_norm: 17.8469 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0928 loss: 1.0928 2022/07/30 13:51:53 - mmengine - INFO - Epoch(train) [34][2240/2505] lr: 5.0000e-05 eta: 16:39:25 time: 0.9211 data_time: 0.3374 memory: 32703 grad_norm: 17.6749 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9876 loss: 0.9876 2022/07/30 13:52:14 - mmengine - INFO - Epoch(train) [34][2260/2505] lr: 5.0000e-05 eta: 16:39:06 time: 1.0450 data_time: 0.4417 memory: 32703 grad_norm: 18.7640 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8209 loss: 0.8209 2022/07/30 13:52:32 - mmengine - INFO - Epoch(train) [34][2280/2505] lr: 5.0000e-05 eta: 16:38:45 time: 0.9226 data_time: 0.3136 memory: 32703 grad_norm: 18.2276 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1940 loss: 1.1940 2022/07/30 13:52:52 - mmengine - INFO - Epoch(train) [34][2300/2505] lr: 5.0000e-05 eta: 16:38:25 time: 0.9794 data_time: 0.3748 memory: 32703 grad_norm: 18.3744 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9648 loss: 0.9648 2022/07/30 13:53:11 - mmengine - INFO - Epoch(train) [34][2320/2505] lr: 5.0000e-05 eta: 16:38:05 time: 0.9508 data_time: 0.3217 memory: 32703 grad_norm: 18.9686 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1001 loss: 1.1001 2022/07/30 13:53:24 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 13:53:30 - mmengine - INFO - Epoch(train) [34][2340/2505] lr: 5.0000e-05 eta: 16:37:45 time: 0.9761 data_time: 0.3861 memory: 32703 grad_norm: 18.5060 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.2218 loss: 1.2218 2022/07/30 13:53:48 - mmengine - INFO - Epoch(train) [34][2360/2505] lr: 5.0000e-05 eta: 16:37:23 time: 0.8805 data_time: 0.2737 memory: 32703 grad_norm: 18.6964 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0984 loss: 1.0984 2022/07/30 13:54:09 - mmengine - INFO - Epoch(train) [34][2380/2505] lr: 5.0000e-05 eta: 16:37:04 time: 1.0482 data_time: 0.3753 memory: 32703 grad_norm: 17.4703 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.2192 loss: 1.2192 2022/07/30 13:54:27 - mmengine - INFO - Epoch(train) [34][2400/2505] lr: 5.0000e-05 eta: 16:36:43 time: 0.9078 data_time: 0.2574 memory: 32703 grad_norm: 18.0022 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0268 loss: 1.0268 2022/07/30 13:54:48 - mmengine - INFO - Epoch(train) [34][2420/2505] lr: 5.0000e-05 eta: 16:36:24 time: 1.0632 data_time: 0.3607 memory: 32703 grad_norm: 18.5664 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2031 loss: 1.2031 2022/07/30 13:55:08 - mmengine - INFO - Epoch(train) [34][2440/2505] lr: 5.0000e-05 eta: 16:36:04 time: 0.9653 data_time: 0.3134 memory: 32703 grad_norm: 18.0177 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9359 loss: 0.9359 2022/07/30 13:55:28 - mmengine - INFO - Epoch(train) [34][2460/2505] lr: 5.0000e-05 eta: 16:35:45 time: 1.0350 data_time: 0.2398 memory: 32703 grad_norm: 18.0681 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2239 loss: 1.2239 2022/07/30 13:55:47 - mmengine - INFO - Epoch(train) [34][2480/2505] lr: 5.0000e-05 eta: 16:35:24 time: 0.9160 data_time: 0.2388 memory: 32703 grad_norm: 17.7467 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1388 loss: 1.1388 2022/07/30 13:56:05 - mmengine - INFO - Epoch(train) [34][2500/2505] lr: 5.0000e-05 eta: 16:35:03 time: 0.9149 data_time: 0.1903 memory: 32703 grad_norm: 18.2670 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2627 loss: 1.2627 2022/07/30 13:56:08 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 13:56:08 - mmengine - INFO - Epoch(train) [34][2505/2505] lr: 5.0000e-05 eta: 16:35:03 time: 0.7792 data_time: 0.1102 memory: 32703 grad_norm: 18.6170 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2010 loss: 1.2010 2022/07/30 13:56:08 - mmengine - INFO - Saving checkpoint at 34 epochs 2022/07/30 13:56:39 - mmengine - INFO - Epoch(train) [35][20/2505] lr: 5.0000e-05 eta: 16:34:38 time: 1.2857 data_time: 0.6814 memory: 32703 grad_norm: 18.0582 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2882 loss: 1.2882 2022/07/30 13:56:57 - mmengine - INFO - Epoch(train) [35][40/2505] lr: 5.0000e-05 eta: 16:34:17 time: 0.8869 data_time: 0.2784 memory: 32703 grad_norm: 17.3303 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8529 loss: 0.8529 2022/07/30 13:57:18 - mmengine - INFO - Epoch(train) [35][60/2505] lr: 5.0000e-05 eta: 16:33:58 time: 1.0545 data_time: 0.4548 memory: 32703 grad_norm: 17.7005 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1254 loss: 1.1254 2022/07/30 13:57:36 - mmengine - INFO - Epoch(train) [35][80/2505] lr: 5.0000e-05 eta: 16:33:37 time: 0.9162 data_time: 0.3189 memory: 32703 grad_norm: 17.9473 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0637 loss: 1.0637 2022/07/30 13:57:56 - mmengine - INFO - Epoch(train) [35][100/2505] lr: 5.0000e-05 eta: 16:33:17 time: 0.9810 data_time: 0.3866 memory: 32703 grad_norm: 17.6970 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0396 loss: 1.0396 2022/07/30 13:58:14 - mmengine - INFO - Epoch(train) [35][120/2505] lr: 5.0000e-05 eta: 16:32:56 time: 0.9120 data_time: 0.3263 memory: 32703 grad_norm: 18.1072 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2458 loss: 1.2458 2022/07/30 13:58:36 - mmengine - INFO - Epoch(train) [35][140/2505] lr: 5.0000e-05 eta: 16:32:38 time: 1.0935 data_time: 0.5162 memory: 32703 grad_norm: 17.4385 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2019 loss: 1.2019 2022/07/30 13:58:53 - mmengine - INFO - Epoch(train) [35][160/2505] lr: 5.0000e-05 eta: 16:32:16 time: 0.8698 data_time: 0.2982 memory: 32703 grad_norm: 17.8668 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9193 loss: 0.9193 2022/07/30 13:59:15 - mmengine - INFO - Epoch(train) [35][180/2505] lr: 5.0000e-05 eta: 16:31:57 time: 1.0690 data_time: 0.4697 memory: 32703 grad_norm: 17.7397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3178 loss: 1.3178 2022/07/30 13:59:32 - mmengine - INFO - Epoch(train) [35][200/2505] lr: 5.0000e-05 eta: 16:31:36 time: 0.8758 data_time: 0.2772 memory: 32703 grad_norm: 16.9384 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1118 loss: 1.1118 2022/07/30 13:59:54 - mmengine - INFO - Epoch(train) [35][220/2505] lr: 5.0000e-05 eta: 16:31:17 time: 1.0918 data_time: 0.4409 memory: 32703 grad_norm: 17.8659 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9210 loss: 0.9210 2022/07/30 14:00:13 - mmengine - INFO - Epoch(train) [35][240/2505] lr: 5.0000e-05 eta: 16:30:57 time: 0.9587 data_time: 0.3607 memory: 32703 grad_norm: 18.0181 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0950 loss: 1.0950 2022/07/30 14:00:35 - mmengine - INFO - Epoch(train) [35][260/2505] lr: 5.0000e-05 eta: 16:30:38 time: 1.0702 data_time: 0.4934 memory: 32703 grad_norm: 17.7617 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9447 loss: 0.9447 2022/07/30 14:00:53 - mmengine - INFO - Epoch(train) [35][280/2505] lr: 5.0000e-05 eta: 16:30:17 time: 0.9028 data_time: 0.3062 memory: 32703 grad_norm: 17.7723 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9686 loss: 0.9686 2022/07/30 14:01:14 - mmengine - INFO - Epoch(train) [35][300/2505] lr: 5.0000e-05 eta: 16:29:58 time: 1.0436 data_time: 0.4691 memory: 32703 grad_norm: 18.4828 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.9758 loss: 0.9758 2022/07/30 14:01:32 - mmengine - INFO - Epoch(train) [35][320/2505] lr: 5.0000e-05 eta: 16:29:37 time: 0.8962 data_time: 0.3034 memory: 32703 grad_norm: 18.3351 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9371 loss: 0.9371 2022/07/30 14:01:52 - mmengine - INFO - Epoch(train) [35][340/2505] lr: 5.0000e-05 eta: 16:29:18 time: 1.0418 data_time: 0.4065 memory: 32703 grad_norm: 18.3272 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8416 loss: 0.8416 2022/07/30 14:02:11 - mmengine - INFO - Epoch(train) [35][360/2505] lr: 5.0000e-05 eta: 16:28:57 time: 0.9371 data_time: 0.2923 memory: 32703 grad_norm: 17.4839 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9923 loss: 0.9923 2022/07/30 14:02:32 - mmengine - INFO - Epoch(train) [35][380/2505] lr: 5.0000e-05 eta: 16:28:38 time: 1.0484 data_time: 0.4521 memory: 32703 grad_norm: 18.3650 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1112 loss: 1.1112 2022/07/30 14:02:52 - mmengine - INFO - Epoch(train) [35][400/2505] lr: 5.0000e-05 eta: 16:28:18 time: 0.9651 data_time: 0.3826 memory: 32703 grad_norm: 17.7850 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9749 loss: 0.9749 2022/07/30 14:03:11 - mmengine - INFO - Epoch(train) [35][420/2505] lr: 5.0000e-05 eta: 16:27:58 time: 0.9778 data_time: 0.4061 memory: 32703 grad_norm: 18.9088 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.0270 loss: 1.0270 2022/07/30 14:03:31 - mmengine - INFO - Epoch(train) [35][440/2505] lr: 5.0000e-05 eta: 16:27:38 time: 0.9885 data_time: 0.3968 memory: 32703 grad_norm: 18.1342 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0729 loss: 1.0729 2022/07/30 14:03:50 - mmengine - INFO - Epoch(train) [35][460/2505] lr: 5.0000e-05 eta: 16:27:17 time: 0.9413 data_time: 0.3304 memory: 32703 grad_norm: 19.0203 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0913 loss: 1.0913 2022/07/30 14:04:11 - mmengine - INFO - Epoch(train) [35][480/2505] lr: 5.0000e-05 eta: 16:26:58 time: 1.0546 data_time: 0.4698 memory: 32703 grad_norm: 18.7689 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1662 loss: 1.1662 2022/07/30 14:04:30 - mmengine - INFO - Epoch(train) [35][500/2505] lr: 5.0000e-05 eta: 16:26:38 time: 0.9643 data_time: 0.3294 memory: 32703 grad_norm: 18.6766 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9563 loss: 0.9563 2022/07/30 14:04:50 - mmengine - INFO - Epoch(train) [35][520/2505] lr: 5.0000e-05 eta: 16:26:18 time: 1.0059 data_time: 0.4201 memory: 32703 grad_norm: 17.7874 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9430 loss: 0.9430 2022/07/30 14:05:09 - mmengine - INFO - Epoch(train) [35][540/2505] lr: 5.0000e-05 eta: 16:25:57 time: 0.9260 data_time: 0.3292 memory: 32703 grad_norm: 17.8175 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9798 loss: 0.9798 2022/07/30 14:05:30 - mmengine - INFO - Epoch(train) [35][560/2505] lr: 5.0000e-05 eta: 16:25:39 time: 1.0802 data_time: 0.4927 memory: 32703 grad_norm: 17.7754 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9241 loss: 0.9241 2022/07/30 14:05:48 - mmengine - INFO - Epoch(train) [35][580/2505] lr: 5.0000e-05 eta: 16:25:18 time: 0.9064 data_time: 0.3069 memory: 32703 grad_norm: 18.6722 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0333 loss: 1.0333 2022/07/30 14:06:10 - mmengine - INFO - Epoch(train) [35][600/2505] lr: 5.0000e-05 eta: 16:24:59 time: 1.0573 data_time: 0.4477 memory: 32703 grad_norm: 17.8807 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9244 loss: 0.9244 2022/07/30 14:06:29 - mmengine - INFO - Epoch(train) [35][620/2505] lr: 5.0000e-05 eta: 16:24:38 time: 0.9473 data_time: 0.3651 memory: 32703 grad_norm: 18.8113 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0155 loss: 1.0155 2022/07/30 14:06:47 - mmengine - INFO - Epoch(train) [35][640/2505] lr: 5.0000e-05 eta: 16:24:17 time: 0.9358 data_time: 0.3489 memory: 32703 grad_norm: 18.0933 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9503 loss: 0.9503 2022/07/30 14:07:08 - mmengine - INFO - Epoch(train) [35][660/2505] lr: 5.0000e-05 eta: 16:23:58 time: 1.0141 data_time: 0.3827 memory: 32703 grad_norm: 17.9728 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1575 loss: 1.1575 2022/07/30 14:07:26 - mmengine - INFO - Epoch(train) [35][680/2505] lr: 5.0000e-05 eta: 16:23:37 time: 0.9220 data_time: 0.3328 memory: 32703 grad_norm: 17.5269 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0902 loss: 1.0902 2022/07/30 14:07:47 - mmengine - INFO - Epoch(train) [35][700/2505] lr: 5.0000e-05 eta: 16:23:18 time: 1.0405 data_time: 0.4062 memory: 32703 grad_norm: 18.1424 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0606 loss: 1.0606 2022/07/30 14:08:05 - mmengine - INFO - Epoch(train) [35][720/2505] lr: 5.0000e-05 eta: 16:22:57 time: 0.9312 data_time: 0.3288 memory: 32703 grad_norm: 17.9264 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1327 loss: 1.1327 2022/07/30 14:08:26 - mmengine - INFO - Epoch(train) [35][740/2505] lr: 5.0000e-05 eta: 16:22:38 time: 1.0298 data_time: 0.3198 memory: 32703 grad_norm: 18.1327 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1475 loss: 1.1475 2022/07/30 14:08:45 - mmengine - INFO - Epoch(train) [35][760/2505] lr: 5.0000e-05 eta: 16:22:17 time: 0.9501 data_time: 0.2508 memory: 32703 grad_norm: 17.9306 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1052 loss: 1.1052 2022/07/30 14:09:06 - mmengine - INFO - Epoch(train) [35][780/2505] lr: 5.0000e-05 eta: 16:21:58 time: 1.0394 data_time: 0.4324 memory: 32703 grad_norm: 18.6832 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1606 loss: 1.1606 2022/07/30 14:09:24 - mmengine - INFO - Epoch(train) [35][800/2505] lr: 5.0000e-05 eta: 16:21:37 time: 0.9264 data_time: 0.3482 memory: 32703 grad_norm: 18.3472 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0125 loss: 1.0125 2022/07/30 14:09:46 - mmengine - INFO - Epoch(train) [35][820/2505] lr: 5.0000e-05 eta: 16:21:19 time: 1.0784 data_time: 0.5112 memory: 32703 grad_norm: 18.1577 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1138 loss: 1.1138 2022/07/30 14:09:55 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 14:10:05 - mmengine - INFO - Epoch(train) [35][840/2505] lr: 5.0000e-05 eta: 16:20:58 time: 0.9459 data_time: 0.3823 memory: 32703 grad_norm: 18.4959 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1808 loss: 1.1808 2022/07/30 14:10:26 - mmengine - INFO - Epoch(train) [35][860/2505] lr: 5.0000e-05 eta: 16:20:39 time: 1.0525 data_time: 0.4694 memory: 32703 grad_norm: 18.5742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9223 loss: 0.9223 2022/07/30 14:10:44 - mmengine - INFO - Epoch(train) [35][880/2505] lr: 5.0000e-05 eta: 16:20:18 time: 0.8946 data_time: 0.2874 memory: 32703 grad_norm: 18.5068 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0609 loss: 1.0609 2022/07/30 14:11:05 - mmengine - INFO - Epoch(train) [35][900/2505] lr: 5.0000e-05 eta: 16:19:59 time: 1.0478 data_time: 0.4555 memory: 32703 grad_norm: 18.2873 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9936 loss: 0.9936 2022/07/30 14:11:24 - mmengine - INFO - Epoch(train) [35][920/2505] lr: 5.0000e-05 eta: 16:19:38 time: 0.9428 data_time: 0.3295 memory: 32703 grad_norm: 19.3318 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1270 loss: 1.1270 2022/07/30 14:11:44 - mmengine - INFO - Epoch(train) [35][940/2505] lr: 5.0000e-05 eta: 16:19:19 time: 1.0344 data_time: 0.4442 memory: 32703 grad_norm: 18.5578 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0204 loss: 1.0204 2022/07/30 14:12:04 - mmengine - INFO - Epoch(train) [35][960/2505] lr: 5.0000e-05 eta: 16:18:59 time: 0.9609 data_time: 0.3529 memory: 32703 grad_norm: 18.5321 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0197 loss: 1.0197 2022/07/30 14:12:24 - mmengine - INFO - Epoch(train) [35][980/2505] lr: 5.0000e-05 eta: 16:18:39 time: 1.0186 data_time: 0.4077 memory: 32703 grad_norm: 19.1260 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8940 loss: 0.8940 2022/07/30 14:12:43 - mmengine - INFO - Epoch(train) [35][1000/2505] lr: 5.0000e-05 eta: 16:18:19 time: 0.9401 data_time: 0.3315 memory: 32703 grad_norm: 18.6882 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9918 loss: 0.9918 2022/07/30 14:13:03 - mmengine - INFO - Epoch(train) [35][1020/2505] lr: 5.0000e-05 eta: 16:17:59 time: 0.9879 data_time: 0.3795 memory: 32703 grad_norm: 17.9503 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8658 loss: 0.8658 2022/07/30 14:13:21 - mmengine - INFO - Epoch(train) [35][1040/2505] lr: 5.0000e-05 eta: 16:17:38 time: 0.9073 data_time: 0.3236 memory: 32703 grad_norm: 18.3651 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.9561 loss: 0.9561 2022/07/30 14:13:42 - mmengine - INFO - Epoch(train) [35][1060/2505] lr: 5.0000e-05 eta: 16:17:19 time: 1.0542 data_time: 0.4484 memory: 32703 grad_norm: 17.9403 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1233 loss: 1.1233 2022/07/30 14:14:01 - mmengine - INFO - Epoch(train) [35][1080/2505] lr: 5.0000e-05 eta: 16:16:58 time: 0.9429 data_time: 0.2712 memory: 32703 grad_norm: 18.5857 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0998 loss: 1.0998 2022/07/30 14:14:21 - mmengine - INFO - Epoch(train) [35][1100/2505] lr: 5.0000e-05 eta: 16:16:39 time: 1.0369 data_time: 0.3257 memory: 32703 grad_norm: 17.9429 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2271 loss: 1.2271 2022/07/30 14:14:40 - mmengine - INFO - Epoch(train) [35][1120/2505] lr: 5.0000e-05 eta: 16:16:18 time: 0.9238 data_time: 0.2644 memory: 32703 grad_norm: 19.0152 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0126 loss: 1.0126 2022/07/30 14:15:00 - mmengine - INFO - Epoch(train) [35][1140/2505] lr: 5.0000e-05 eta: 16:15:58 time: 1.0115 data_time: 0.3274 memory: 32703 grad_norm: 18.7141 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0399 loss: 1.0399 2022/07/30 14:15:19 - mmengine - INFO - Epoch(train) [35][1160/2505] lr: 5.0000e-05 eta: 16:15:38 time: 0.9652 data_time: 0.3613 memory: 32703 grad_norm: 19.3007 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0008 loss: 1.0008 2022/07/30 14:15:41 - mmengine - INFO - Epoch(train) [35][1180/2505] lr: 5.0000e-05 eta: 16:15:19 time: 1.0661 data_time: 0.4495 memory: 32703 grad_norm: 18.1417 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8211 loss: 0.8211 2022/07/30 14:15:58 - mmengine - INFO - Epoch(train) [35][1200/2505] lr: 5.0000e-05 eta: 16:14:57 time: 0.8443 data_time: 0.2704 memory: 32703 grad_norm: 18.4046 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0197 loss: 1.0197 2022/07/30 14:16:19 - mmengine - INFO - Epoch(train) [35][1220/2505] lr: 5.0000e-05 eta: 16:14:39 time: 1.0860 data_time: 0.4797 memory: 32703 grad_norm: 17.7996 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0947 loss: 1.0947 2022/07/30 14:16:37 - mmengine - INFO - Epoch(train) [35][1240/2505] lr: 5.0000e-05 eta: 16:14:17 time: 0.8750 data_time: 0.3066 memory: 32703 grad_norm: 18.4632 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9798 loss: 0.9798 2022/07/30 14:16:58 - mmengine - INFO - Epoch(train) [35][1260/2505] lr: 5.0000e-05 eta: 16:13:59 time: 1.0802 data_time: 0.4808 memory: 32703 grad_norm: 17.8760 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0329 loss: 1.0329 2022/07/30 14:17:16 - mmengine - INFO - Epoch(train) [35][1280/2505] lr: 5.0000e-05 eta: 16:13:38 time: 0.8923 data_time: 0.3238 memory: 32703 grad_norm: 18.1928 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0302 loss: 1.0302 2022/07/30 14:17:39 - mmengine - INFO - Epoch(train) [35][1300/2505] lr: 5.0000e-05 eta: 16:13:19 time: 1.1226 data_time: 0.4894 memory: 32703 grad_norm: 18.6478 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8697 loss: 0.8697 2022/07/30 14:17:56 - mmengine - INFO - Epoch(train) [35][1320/2505] lr: 5.0000e-05 eta: 16:12:58 time: 0.8791 data_time: 0.3062 memory: 32703 grad_norm: 19.1719 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9629 loss: 0.9629 2022/07/30 14:18:18 - mmengine - INFO - Epoch(train) [35][1340/2505] lr: 5.0000e-05 eta: 16:12:39 time: 1.0753 data_time: 0.4392 memory: 32703 grad_norm: 18.9424 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1621 loss: 1.1621 2022/07/30 14:18:36 - mmengine - INFO - Epoch(train) [35][1360/2505] lr: 5.0000e-05 eta: 16:12:18 time: 0.8836 data_time: 0.3029 memory: 32703 grad_norm: 17.1246 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8458 loss: 0.8458 2022/07/30 14:18:56 - mmengine - INFO - Epoch(train) [35][1380/2505] lr: 5.0000e-05 eta: 16:11:59 time: 1.0343 data_time: 0.4444 memory: 32703 grad_norm: 18.3645 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9216 loss: 0.9216 2022/07/30 14:19:15 - mmengine - INFO - Epoch(train) [35][1400/2505] lr: 5.0000e-05 eta: 16:11:38 time: 0.9472 data_time: 0.3520 memory: 32703 grad_norm: 17.7096 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0723 loss: 1.0723 2022/07/30 14:19:36 - mmengine - INFO - Epoch(train) [35][1420/2505] lr: 5.0000e-05 eta: 16:11:19 time: 1.0184 data_time: 0.4195 memory: 32703 grad_norm: 18.0451 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0540 loss: 1.0540 2022/07/30 14:19:54 - mmengine - INFO - Epoch(train) [35][1440/2505] lr: 5.0000e-05 eta: 16:10:58 time: 0.9238 data_time: 0.3314 memory: 32703 grad_norm: 18.3312 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9622 loss: 0.9622 2022/07/30 14:20:16 - mmengine - INFO - Epoch(train) [35][1460/2505] lr: 5.0000e-05 eta: 16:10:39 time: 1.0859 data_time: 0.4923 memory: 32703 grad_norm: 17.9845 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1636 loss: 1.1636 2022/07/30 14:20:34 - mmengine - INFO - Epoch(train) [35][1480/2505] lr: 5.0000e-05 eta: 16:10:18 time: 0.9101 data_time: 0.3126 memory: 32703 grad_norm: 17.9945 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1580 loss: 1.1580 2022/07/30 14:20:54 - mmengine - INFO - Epoch(train) [35][1500/2505] lr: 5.0000e-05 eta: 16:09:59 time: 1.0062 data_time: 0.4109 memory: 32703 grad_norm: 17.7050 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9836 loss: 0.9836 2022/07/30 14:21:12 - mmengine - INFO - Epoch(train) [35][1520/2505] lr: 5.0000e-05 eta: 16:09:38 time: 0.9122 data_time: 0.2988 memory: 32703 grad_norm: 17.9201 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1805 loss: 1.1805 2022/07/30 14:21:33 - mmengine - INFO - Epoch(train) [35][1540/2505] lr: 5.0000e-05 eta: 16:09:19 time: 1.0471 data_time: 0.4504 memory: 32703 grad_norm: 17.6067 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1186 loss: 1.1186 2022/07/30 14:21:51 - mmengine - INFO - Epoch(train) [35][1560/2505] lr: 5.0000e-05 eta: 16:08:57 time: 0.9024 data_time: 0.3058 memory: 32703 grad_norm: 17.8822 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9638 loss: 0.9638 2022/07/30 14:22:12 - mmengine - INFO - Epoch(train) [35][1580/2505] lr: 5.0000e-05 eta: 16:08:38 time: 1.0388 data_time: 0.4503 memory: 32703 grad_norm: 18.0561 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1255 loss: 1.1255 2022/07/30 14:22:30 - mmengine - INFO - Epoch(train) [35][1600/2505] lr: 5.0000e-05 eta: 16:08:17 time: 0.8891 data_time: 0.2907 memory: 32703 grad_norm: 18.6417 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3048 loss: 1.3048 2022/07/30 14:22:51 - mmengine - INFO - Epoch(train) [35][1620/2505] lr: 5.0000e-05 eta: 16:07:58 time: 1.0580 data_time: 0.4534 memory: 32703 grad_norm: 17.9682 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0156 loss: 1.0156 2022/07/30 14:23:09 - mmengine - INFO - Epoch(train) [35][1640/2505] lr: 5.0000e-05 eta: 16:07:37 time: 0.8827 data_time: 0.3017 memory: 32703 grad_norm: 19.2415 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1003 loss: 1.1003 2022/07/30 14:23:30 - mmengine - INFO - Epoch(train) [35][1660/2505] lr: 5.0000e-05 eta: 16:07:18 time: 1.0754 data_time: 0.4673 memory: 32703 grad_norm: 18.5201 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0597 loss: 1.0597 2022/07/30 14:23:48 - mmengine - INFO - Epoch(train) [35][1680/2505] lr: 5.0000e-05 eta: 16:06:57 time: 0.9089 data_time: 0.3228 memory: 32703 grad_norm: 17.9192 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9280 loss: 0.9280 2022/07/30 14:24:11 - mmengine - INFO - Epoch(train) [35][1700/2505] lr: 5.0000e-05 eta: 16:06:39 time: 1.0982 data_time: 0.4916 memory: 32703 grad_norm: 19.2469 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4627 loss: 1.4627 2022/07/30 14:24:28 - mmengine - INFO - Epoch(train) [35][1720/2505] lr: 5.0000e-05 eta: 16:06:17 time: 0.8947 data_time: 0.2926 memory: 32703 grad_norm: 18.0875 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0595 loss: 1.0595 2022/07/30 14:24:50 - mmengine - INFO - Epoch(train) [35][1740/2505] lr: 5.0000e-05 eta: 16:05:59 time: 1.0809 data_time: 0.4706 memory: 32703 grad_norm: 17.4266 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8614 loss: 0.8614 2022/07/30 14:25:07 - mmengine - INFO - Epoch(train) [35][1760/2505] lr: 5.0000e-05 eta: 16:05:37 time: 0.8453 data_time: 0.2718 memory: 32703 grad_norm: 18.3843 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2699 loss: 1.2699 2022/07/30 14:25:30 - mmengine - INFO - Epoch(train) [35][1780/2505] lr: 5.0000e-05 eta: 16:05:19 time: 1.1357 data_time: 0.5058 memory: 32703 grad_norm: 17.3539 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0151 loss: 1.0151 2022/07/30 14:25:47 - mmengine - INFO - Epoch(train) [35][1800/2505] lr: 5.0000e-05 eta: 16:04:57 time: 0.8525 data_time: 0.2802 memory: 32703 grad_norm: 18.4205 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0038 loss: 1.0038 2022/07/30 14:26:07 - mmengine - INFO - Epoch(train) [35][1820/2505] lr: 5.0000e-05 eta: 16:04:38 time: 1.0351 data_time: 0.4262 memory: 32703 grad_norm: 17.6457 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9345 loss: 0.9345 2022/07/30 14:26:16 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 14:26:25 - mmengine - INFO - Epoch(train) [35][1840/2505] lr: 5.0000e-05 eta: 16:04:17 time: 0.8949 data_time: 0.3162 memory: 32703 grad_norm: 18.2513 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8178 loss: 0.8178 2022/07/30 14:26:46 - mmengine - INFO - Epoch(train) [35][1860/2505] lr: 5.0000e-05 eta: 16:03:57 time: 1.0287 data_time: 0.4187 memory: 32703 grad_norm: 18.4541 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8900 loss: 0.8900 2022/07/30 14:27:05 - mmengine - INFO - Epoch(train) [35][1880/2505] lr: 5.0000e-05 eta: 16:03:37 time: 0.9567 data_time: 0.3630 memory: 32703 grad_norm: 18.2942 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8653 loss: 0.8653 2022/07/30 14:27:26 - mmengine - INFO - Epoch(train) [35][1900/2505] lr: 5.0000e-05 eta: 16:03:18 time: 1.0608 data_time: 0.4540 memory: 32703 grad_norm: 19.1695 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1619 loss: 1.1619 2022/07/30 14:27:44 - mmengine - INFO - Epoch(train) [35][1920/2505] lr: 5.0000e-05 eta: 16:02:57 time: 0.8932 data_time: 0.3100 memory: 32703 grad_norm: 18.1049 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0843 loss: 1.0843 2022/07/30 14:28:06 - mmengine - INFO - Epoch(train) [35][1940/2505] lr: 5.0000e-05 eta: 16:02:38 time: 1.0948 data_time: 0.5187 memory: 32703 grad_norm: 18.3958 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0269 loss: 1.0269 2022/07/30 14:28:24 - mmengine - INFO - Epoch(train) [35][1960/2505] lr: 5.0000e-05 eta: 16:02:17 time: 0.8803 data_time: 0.2994 memory: 32703 grad_norm: 18.3814 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8703 loss: 0.8703 2022/07/30 14:28:45 - mmengine - INFO - Epoch(train) [35][1980/2505] lr: 5.0000e-05 eta: 16:01:58 time: 1.0589 data_time: 0.4605 memory: 32703 grad_norm: 18.3873 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1795 loss: 1.1795 2022/07/30 14:29:03 - mmengine - INFO - Epoch(train) [35][2000/2505] lr: 5.0000e-05 eta: 16:01:37 time: 0.8987 data_time: 0.3033 memory: 32703 grad_norm: 18.9308 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8068 loss: 0.8068 2022/07/30 14:29:24 - mmengine - INFO - Epoch(train) [35][2020/2505] lr: 5.0000e-05 eta: 16:01:18 time: 1.0632 data_time: 0.4663 memory: 32703 grad_norm: 17.5752 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1589 loss: 1.1589 2022/07/30 14:29:42 - mmengine - INFO - Epoch(train) [35][2040/2505] lr: 5.0000e-05 eta: 16:00:57 time: 0.9152 data_time: 0.3058 memory: 32703 grad_norm: 18.1835 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1992 loss: 1.1992 2022/07/30 14:30:03 - mmengine - INFO - Epoch(train) [35][2060/2505] lr: 5.0000e-05 eta: 16:00:38 time: 1.0536 data_time: 0.4414 memory: 32703 grad_norm: 17.7853 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8830 loss: 0.8830 2022/07/30 14:30:22 - mmengine - INFO - Epoch(train) [35][2080/2505] lr: 5.0000e-05 eta: 16:00:17 time: 0.9195 data_time: 0.3242 memory: 32703 grad_norm: 17.8807 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9615 loss: 0.9615 2022/07/30 14:30:43 - mmengine - INFO - Epoch(train) [35][2100/2505] lr: 5.0000e-05 eta: 15:59:58 time: 1.0427 data_time: 0.4663 memory: 32703 grad_norm: 18.3832 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1557 loss: 1.1557 2022/07/30 14:31:01 - mmengine - INFO - Epoch(train) [35][2120/2505] lr: 5.0000e-05 eta: 15:59:37 time: 0.9353 data_time: 0.3296 memory: 32703 grad_norm: 17.5065 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0099 loss: 1.0099 2022/07/30 14:31:23 - mmengine - INFO - Epoch(train) [35][2140/2505] lr: 5.0000e-05 eta: 15:59:19 time: 1.0667 data_time: 0.4621 memory: 32703 grad_norm: 18.1129 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1773 loss: 1.1773 2022/07/30 14:31:40 - mmengine - INFO - Epoch(train) [35][2160/2505] lr: 5.0000e-05 eta: 15:58:57 time: 0.8810 data_time: 0.2601 memory: 32703 grad_norm: 18.2306 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 0.9788 loss: 0.9788 2022/07/30 14:32:01 - mmengine - INFO - Epoch(train) [35][2180/2505] lr: 5.0000e-05 eta: 15:58:38 time: 1.0451 data_time: 0.4335 memory: 32703 grad_norm: 18.4414 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9547 loss: 0.9547 2022/07/30 14:32:20 - mmengine - INFO - Epoch(train) [35][2200/2505] lr: 5.0000e-05 eta: 15:58:17 time: 0.9309 data_time: 0.3307 memory: 32703 grad_norm: 18.7446 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2936 loss: 1.2936 2022/07/30 14:32:42 - mmengine - INFO - Epoch(train) [35][2220/2505] lr: 5.0000e-05 eta: 15:57:59 time: 1.1101 data_time: 0.4229 memory: 32703 grad_norm: 18.2486 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1350 loss: 1.1350 2022/07/30 14:33:00 - mmengine - INFO - Epoch(train) [35][2240/2505] lr: 5.0000e-05 eta: 15:57:38 time: 0.8887 data_time: 0.2006 memory: 32703 grad_norm: 18.2301 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9830 loss: 0.9830 2022/07/30 14:33:22 - mmengine - INFO - Epoch(train) [35][2260/2505] lr: 5.0000e-05 eta: 15:57:20 time: 1.1186 data_time: 0.1776 memory: 32703 grad_norm: 18.5305 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9665 loss: 0.9665 2022/07/30 14:33:40 - mmengine - INFO - Epoch(train) [35][2280/2505] lr: 5.0000e-05 eta: 15:56:58 time: 0.8717 data_time: 0.0278 memory: 32703 grad_norm: 17.9796 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0879 loss: 1.0879 2022/07/30 14:34:01 - mmengine - INFO - Epoch(train) [35][2300/2505] lr: 5.0000e-05 eta: 15:56:39 time: 1.0629 data_time: 0.1874 memory: 32703 grad_norm: 19.2686 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3880 loss: 1.3880 2022/07/30 14:34:18 - mmengine - INFO - Epoch(train) [35][2320/2505] lr: 5.0000e-05 eta: 15:56:18 time: 0.8683 data_time: 0.1273 memory: 32703 grad_norm: 18.2595 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0311 loss: 1.0311 2022/07/30 14:34:39 - mmengine - INFO - Epoch(train) [35][2340/2505] lr: 5.0000e-05 eta: 15:55:58 time: 1.0088 data_time: 0.2399 memory: 32703 grad_norm: 18.1112 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9977 loss: 0.9977 2022/07/30 14:34:57 - mmengine - INFO - Epoch(train) [35][2360/2505] lr: 5.0000e-05 eta: 15:55:37 time: 0.9113 data_time: 0.2413 memory: 32703 grad_norm: 17.5102 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1395 loss: 1.1395 2022/07/30 14:35:20 - mmengine - INFO - Epoch(train) [35][2380/2505] lr: 5.0000e-05 eta: 15:55:19 time: 1.1531 data_time: 0.4485 memory: 32703 grad_norm: 17.6770 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6246 loss: 0.6246 2022/07/30 14:35:38 - mmengine - INFO - Epoch(train) [35][2400/2505] lr: 5.0000e-05 eta: 15:54:58 time: 0.8948 data_time: 0.2917 memory: 32703 grad_norm: 17.5771 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0040 loss: 1.0040 2022/07/30 14:35:58 - mmengine - INFO - Epoch(train) [35][2420/2505] lr: 5.0000e-05 eta: 15:54:39 time: 1.0090 data_time: 0.4071 memory: 32703 grad_norm: 17.7486 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8973 loss: 0.8973 2022/07/30 14:36:17 - mmengine - INFO - Epoch(train) [35][2440/2505] lr: 5.0000e-05 eta: 15:54:18 time: 0.9374 data_time: 0.2744 memory: 32703 grad_norm: 17.6351 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1148 loss: 1.1148 2022/07/30 14:36:38 - mmengine - INFO - Epoch(train) [35][2460/2505] lr: 5.0000e-05 eta: 15:53:59 time: 1.0608 data_time: 0.4465 memory: 32703 grad_norm: 18.6951 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2837 loss: 1.2837 2022/07/30 14:36:56 - mmengine - INFO - Epoch(train) [35][2480/2505] lr: 5.0000e-05 eta: 15:53:38 time: 0.8911 data_time: 0.2556 memory: 32703 grad_norm: 18.6498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1873 loss: 1.1873 2022/07/30 14:37:14 - mmengine - INFO - Epoch(train) [35][2500/2505] lr: 5.0000e-05 eta: 15:53:17 time: 0.9029 data_time: 0.2722 memory: 32703 grad_norm: 18.2459 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9586 loss: 0.9586 2022/07/30 14:37:17 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 14:37:17 - mmengine - INFO - Epoch(train) [35][2505/2505] lr: 5.0000e-05 eta: 15:53:17 time: 0.7555 data_time: 0.1345 memory: 32703 grad_norm: 18.7358 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9630 loss: 0.9630 2022/07/30 14:37:44 - mmengine - INFO - Epoch(train) [36][20/2505] lr: 5.0000e-05 eta: 15:52:54 time: 1.3631 data_time: 0.7059 memory: 32703 grad_norm: 18.1055 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8608 loss: 0.8608 2022/07/30 14:38:03 - mmengine - INFO - Epoch(train) [36][40/2505] lr: 5.0000e-05 eta: 15:52:33 time: 0.9609 data_time: 0.2141 memory: 32703 grad_norm: 18.3475 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0917 loss: 1.0917 2022/07/30 14:38:24 - mmengine - INFO - Epoch(train) [36][60/2505] lr: 5.0000e-05 eta: 15:52:15 time: 1.0694 data_time: 0.1553 memory: 32703 grad_norm: 18.1047 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9139 loss: 0.9139 2022/07/30 14:38:44 - mmengine - INFO - Epoch(train) [36][80/2505] lr: 5.0000e-05 eta: 15:51:54 time: 0.9510 data_time: 0.0796 memory: 32703 grad_norm: 18.0810 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0293 loss: 1.0293 2022/07/30 14:39:05 - mmengine - INFO - Epoch(train) [36][100/2505] lr: 5.0000e-05 eta: 15:51:35 time: 1.0785 data_time: 0.0340 memory: 32703 grad_norm: 19.1201 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9108 loss: 0.9108 2022/07/30 14:39:24 - mmengine - INFO - Epoch(train) [36][120/2505] lr: 5.0000e-05 eta: 15:51:15 time: 0.9181 data_time: 0.0310 memory: 32703 grad_norm: 19.7794 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2302 loss: 1.2302 2022/07/30 14:39:45 - mmengine - INFO - Epoch(train) [36][140/2505] lr: 5.0000e-05 eta: 15:50:56 time: 1.0603 data_time: 0.0360 memory: 32703 grad_norm: 18.9427 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0613 loss: 1.0613 2022/07/30 14:40:03 - mmengine - INFO - Epoch(train) [36][160/2505] lr: 5.0000e-05 eta: 15:50:35 time: 0.9113 data_time: 0.0329 memory: 32703 grad_norm: 18.5841 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9403 loss: 0.9403 2022/07/30 14:40:25 - mmengine - INFO - Epoch(train) [36][180/2505] lr: 5.0000e-05 eta: 15:50:17 time: 1.1145 data_time: 0.0301 memory: 32703 grad_norm: 17.5326 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2966 loss: 1.2966 2022/07/30 14:40:43 - mmengine - INFO - Epoch(train) [36][200/2505] lr: 5.0000e-05 eta: 15:49:55 time: 0.8936 data_time: 0.0265 memory: 32703 grad_norm: 18.0894 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2348 loss: 1.2348 2022/07/30 14:41:05 - mmengine - INFO - Epoch(train) [36][220/2505] lr: 5.0000e-05 eta: 15:49:37 time: 1.0991 data_time: 0.0320 memory: 32703 grad_norm: 18.0166 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1458 loss: 1.1458 2022/07/30 14:41:23 - mmengine - INFO - Epoch(train) [36][240/2505] lr: 5.0000e-05 eta: 15:49:16 time: 0.8908 data_time: 0.0293 memory: 32703 grad_norm: 18.9338 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0529 loss: 1.0529 2022/07/30 14:41:44 - mmengine - INFO - Epoch(train) [36][260/2505] lr: 5.0000e-05 eta: 15:48:57 time: 1.0583 data_time: 0.0275 memory: 32703 grad_norm: 18.6385 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2215 loss: 1.2215 2022/07/30 14:42:01 - mmengine - INFO - Epoch(train) [36][280/2505] lr: 5.0000e-05 eta: 15:48:35 time: 0.8582 data_time: 0.0256 memory: 32703 grad_norm: 18.5347 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1045 loss: 1.1045 2022/07/30 14:42:23 - mmengine - INFO - Epoch(train) [36][300/2505] lr: 5.0000e-05 eta: 15:48:16 time: 1.0680 data_time: 0.0325 memory: 32703 grad_norm: 18.4640 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9354 loss: 0.9354 2022/07/30 14:42:42 - mmengine - INFO - Epoch(train) [36][320/2505] lr: 5.0000e-05 eta: 15:47:56 time: 0.9487 data_time: 0.0323 memory: 32703 grad_norm: 19.1555 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0461 loss: 1.0461 2022/07/30 14:42:47 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 14:43:04 - mmengine - INFO - Epoch(train) [36][340/2505] lr: 5.0000e-05 eta: 15:47:37 time: 1.1067 data_time: 0.0278 memory: 32703 grad_norm: 19.3607 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1289 loss: 1.1289 2022/07/30 14:43:21 - mmengine - INFO - Epoch(train) [36][360/2505] lr: 5.0000e-05 eta: 15:47:16 time: 0.8778 data_time: 0.0289 memory: 32703 grad_norm: 18.8408 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1197 loss: 1.1197 2022/07/30 14:43:43 - mmengine - INFO - Epoch(train) [36][380/2505] lr: 5.0000e-05 eta: 15:46:58 time: 1.1057 data_time: 0.0284 memory: 32703 grad_norm: 19.2004 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1538 loss: 1.1538 2022/07/30 14:43:59 - mmengine - INFO - Epoch(train) [36][400/2505] lr: 5.0000e-05 eta: 15:46:35 time: 0.8044 data_time: 0.0262 memory: 32703 grad_norm: 18.2935 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1879 loss: 1.1879 2022/07/30 14:44:21 - mmengine - INFO - Epoch(train) [36][420/2505] lr: 5.0000e-05 eta: 15:46:17 time: 1.0763 data_time: 0.0252 memory: 32703 grad_norm: 18.2613 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1823 loss: 1.1823 2022/07/30 14:44:39 - mmengine - INFO - Epoch(train) [36][440/2505] lr: 5.0000e-05 eta: 15:45:55 time: 0.8827 data_time: 0.0266 memory: 32703 grad_norm: 17.3966 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0066 loss: 1.0066 2022/07/30 14:44:59 - mmengine - INFO - Epoch(train) [36][460/2505] lr: 5.0000e-05 eta: 15:45:36 time: 1.0220 data_time: 0.0272 memory: 32703 grad_norm: 18.5091 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1328 loss: 1.1328 2022/07/30 14:45:18 - mmengine - INFO - Epoch(train) [36][480/2505] lr: 5.0000e-05 eta: 15:45:15 time: 0.9378 data_time: 0.0350 memory: 32703 grad_norm: 18.8406 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9594 loss: 0.9594 2022/07/30 14:45:40 - mmengine - INFO - Epoch(train) [36][500/2505] lr: 5.0000e-05 eta: 15:44:57 time: 1.0838 data_time: 0.0297 memory: 32703 grad_norm: 18.4291 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9802 loss: 0.9802 2022/07/30 14:45:58 - mmengine - INFO - Epoch(train) [36][520/2505] lr: 5.0000e-05 eta: 15:44:36 time: 0.9127 data_time: 0.0342 memory: 32703 grad_norm: 17.7760 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9134 loss: 0.9134 2022/07/30 14:46:20 - mmengine - INFO - Epoch(train) [36][540/2505] lr: 5.0000e-05 eta: 15:44:17 time: 1.0975 data_time: 0.0310 memory: 32703 grad_norm: 17.7286 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9743 loss: 0.9743 2022/07/30 14:46:38 - mmengine - INFO - Epoch(train) [36][560/2505] lr: 5.0000e-05 eta: 15:43:57 time: 0.9360 data_time: 0.0341 memory: 32703 grad_norm: 18.9920 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1642 loss: 1.1642 2022/07/30 14:46:58 - mmengine - INFO - Epoch(train) [36][580/2505] lr: 5.0000e-05 eta: 15:43:37 time: 0.9862 data_time: 0.0268 memory: 32703 grad_norm: 17.8764 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2579 loss: 1.2579 2022/07/30 14:47:16 - mmengine - INFO - Epoch(train) [36][600/2505] lr: 5.0000e-05 eta: 15:43:16 time: 0.8979 data_time: 0.0265 memory: 32703 grad_norm: 18.6395 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0711 loss: 1.0711 2022/07/30 14:47:37 - mmengine - INFO - Epoch(train) [36][620/2505] lr: 5.0000e-05 eta: 15:42:57 time: 1.0580 data_time: 0.0294 memory: 32703 grad_norm: 17.5972 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0357 loss: 1.0357 2022/07/30 14:47:56 - mmengine - INFO - Epoch(train) [36][640/2505] lr: 5.0000e-05 eta: 15:42:36 time: 0.9095 data_time: 0.0268 memory: 32703 grad_norm: 18.6102 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9659 loss: 0.9659 2022/07/30 14:48:17 - mmengine - INFO - Epoch(train) [36][660/2505] lr: 5.0000e-05 eta: 15:42:17 time: 1.0492 data_time: 0.0314 memory: 32703 grad_norm: 18.3831 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4122 loss: 1.4122 2022/07/30 14:48:36 - mmengine - INFO - Epoch(train) [36][680/2505] lr: 5.0000e-05 eta: 15:41:56 time: 0.9592 data_time: 0.0312 memory: 32703 grad_norm: 18.5480 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0752 loss: 1.0752 2022/07/30 14:48:56 - mmengine - INFO - Epoch(train) [36][700/2505] lr: 5.0000e-05 eta: 15:41:37 time: 1.0242 data_time: 0.0282 memory: 32703 grad_norm: 18.8349 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0735 loss: 1.0735 2022/07/30 14:49:15 - mmengine - INFO - Epoch(train) [36][720/2505] lr: 5.0000e-05 eta: 15:41:16 time: 0.9456 data_time: 0.0298 memory: 32703 grad_norm: 18.5864 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1376 loss: 1.1376 2022/07/30 14:49:37 - mmengine - INFO - Epoch(train) [36][740/2505] lr: 5.0000e-05 eta: 15:40:58 time: 1.0752 data_time: 0.0275 memory: 32703 grad_norm: 18.0650 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8957 loss: 0.8957 2022/07/30 14:49:54 - mmengine - INFO - Epoch(train) [36][760/2505] lr: 5.0000e-05 eta: 15:40:36 time: 0.8575 data_time: 0.0252 memory: 32703 grad_norm: 18.4014 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0127 loss: 1.0127 2022/07/30 14:50:16 - mmengine - INFO - Epoch(train) [36][780/2505] lr: 5.0000e-05 eta: 15:40:17 time: 1.0953 data_time: 0.0289 memory: 32703 grad_norm: 18.5107 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0006 loss: 1.0006 2022/07/30 14:50:33 - mmengine - INFO - Epoch(train) [36][800/2505] lr: 5.0000e-05 eta: 15:39:56 time: 0.8782 data_time: 0.0276 memory: 32703 grad_norm: 18.7072 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0626 loss: 1.0626 2022/07/30 14:50:55 - mmengine - INFO - Epoch(train) [36][820/2505] lr: 5.0000e-05 eta: 15:39:37 time: 1.0680 data_time: 0.0249 memory: 32703 grad_norm: 17.8231 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2026 loss: 1.2026 2022/07/30 14:51:12 - mmengine - INFO - Epoch(train) [36][840/2505] lr: 5.0000e-05 eta: 15:39:16 time: 0.8519 data_time: 0.0269 memory: 32703 grad_norm: 18.1473 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8853 loss: 0.8853 2022/07/30 14:51:33 - mmengine - INFO - Epoch(train) [36][860/2505] lr: 5.0000e-05 eta: 15:38:57 time: 1.0812 data_time: 0.0277 memory: 32703 grad_norm: 18.7793 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1375 loss: 1.1375 2022/07/30 14:51:51 - mmengine - INFO - Epoch(train) [36][880/2505] lr: 5.0000e-05 eta: 15:38:36 time: 0.8829 data_time: 0.0284 memory: 32703 grad_norm: 18.0526 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9282 loss: 0.9282 2022/07/30 14:52:12 - mmengine - INFO - Epoch(train) [36][900/2505] lr: 5.0000e-05 eta: 15:38:17 time: 1.0620 data_time: 0.0271 memory: 32703 grad_norm: 18.5668 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9818 loss: 0.9818 2022/07/30 14:52:30 - mmengine - INFO - Epoch(train) [36][920/2505] lr: 5.0000e-05 eta: 15:37:55 time: 0.8693 data_time: 0.0261 memory: 32703 grad_norm: 17.9148 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9644 loss: 0.9644 2022/07/30 14:52:51 - mmengine - INFO - Epoch(train) [36][940/2505] lr: 5.0000e-05 eta: 15:37:36 time: 1.0751 data_time: 0.0317 memory: 32703 grad_norm: 18.5017 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2193 loss: 1.2193 2022/07/30 14:53:09 - mmengine - INFO - Epoch(train) [36][960/2505] lr: 5.0000e-05 eta: 15:37:15 time: 0.8810 data_time: 0.0279 memory: 32703 grad_norm: 17.9875 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0111 loss: 1.0111 2022/07/30 14:53:30 - mmengine - INFO - Epoch(train) [36][980/2505] lr: 5.0000e-05 eta: 15:36:56 time: 1.0427 data_time: 0.0261 memory: 32703 grad_norm: 18.9411 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9758 loss: 0.9758 2022/07/30 14:53:48 - mmengine - INFO - Epoch(train) [36][1000/2505] lr: 5.0000e-05 eta: 15:36:35 time: 0.9155 data_time: 0.0348 memory: 32703 grad_norm: 18.4367 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8793 loss: 0.8793 2022/07/30 14:54:09 - mmengine - INFO - Epoch(train) [36][1020/2505] lr: 5.0000e-05 eta: 15:36:16 time: 1.0464 data_time: 0.0291 memory: 32703 grad_norm: 18.9632 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3952 loss: 1.3952 2022/07/30 14:54:27 - mmengine - INFO - Epoch(train) [36][1040/2505] lr: 5.0000e-05 eta: 15:35:55 time: 0.9041 data_time: 0.0265 memory: 32703 grad_norm: 18.3172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0595 loss: 1.0595 2022/07/30 14:54:48 - mmengine - INFO - Epoch(train) [36][1060/2505] lr: 5.0000e-05 eta: 15:35:36 time: 1.0467 data_time: 0.0269 memory: 32703 grad_norm: 17.9031 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1818 loss: 1.1818 2022/07/30 14:55:07 - mmengine - INFO - Epoch(train) [36][1080/2505] lr: 5.0000e-05 eta: 15:35:15 time: 0.9272 data_time: 0.0258 memory: 32703 grad_norm: 17.6771 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3508 loss: 1.3508 2022/07/30 14:55:28 - mmengine - INFO - Epoch(train) [36][1100/2505] lr: 5.0000e-05 eta: 15:34:56 time: 1.0703 data_time: 0.0320 memory: 32703 grad_norm: 17.7849 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0100 loss: 1.0100 2022/07/30 14:55:46 - mmengine - INFO - Epoch(train) [36][1120/2505] lr: 5.0000e-05 eta: 15:34:35 time: 0.8952 data_time: 0.0268 memory: 32703 grad_norm: 18.7614 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0929 loss: 1.0929 2022/07/30 14:56:07 - mmengine - INFO - Epoch(train) [36][1140/2505] lr: 5.0000e-05 eta: 15:34:16 time: 1.0641 data_time: 0.0309 memory: 32703 grad_norm: 18.5635 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1751 loss: 1.1751 2022/07/30 14:56:26 - mmengine - INFO - Epoch(train) [36][1160/2505] lr: 5.0000e-05 eta: 15:33:56 time: 0.9443 data_time: 0.0321 memory: 32703 grad_norm: 18.2148 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1629 loss: 1.1629 2022/07/30 14:56:47 - mmengine - INFO - Epoch(train) [36][1180/2505] lr: 5.0000e-05 eta: 15:33:37 time: 1.0438 data_time: 0.0278 memory: 32703 grad_norm: 18.4238 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0420 loss: 1.0420 2022/07/30 14:57:05 - mmengine - INFO - Epoch(train) [36][1200/2505] lr: 5.0000e-05 eta: 15:33:16 time: 0.9304 data_time: 0.0292 memory: 32703 grad_norm: 17.5893 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0332 loss: 1.0332 2022/07/30 14:57:26 - mmengine - INFO - Epoch(train) [36][1220/2505] lr: 5.0000e-05 eta: 15:32:57 time: 1.0329 data_time: 0.0297 memory: 32703 grad_norm: 18.4928 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3160 loss: 1.3160 2022/07/30 14:57:45 - mmengine - INFO - Epoch(train) [36][1240/2505] lr: 5.0000e-05 eta: 15:32:36 time: 0.9484 data_time: 0.0315 memory: 32703 grad_norm: 18.8893 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1397 loss: 1.1397 2022/07/30 14:58:05 - mmengine - INFO - Epoch(train) [36][1260/2505] lr: 5.0000e-05 eta: 15:32:17 time: 1.0101 data_time: 0.0265 memory: 32703 grad_norm: 18.4416 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0982 loss: 1.0982 2022/07/30 14:58:23 - mmengine - INFO - Epoch(train) [36][1280/2505] lr: 5.0000e-05 eta: 15:31:55 time: 0.8836 data_time: 0.0296 memory: 32703 grad_norm: 18.6030 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9930 loss: 0.9930 2022/07/30 14:58:45 - mmengine - INFO - Epoch(train) [36][1300/2505] lr: 5.0000e-05 eta: 15:31:37 time: 1.0939 data_time: 0.0281 memory: 32703 grad_norm: 18.0660 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1456 loss: 1.1456 2022/07/30 14:59:02 - mmengine - INFO - Epoch(train) [36][1320/2505] lr: 5.0000e-05 eta: 15:31:15 time: 0.8812 data_time: 0.0277 memory: 32703 grad_norm: 18.3487 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8190 loss: 0.8190 2022/07/30 14:59:09 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 14:59:24 - mmengine - INFO - Epoch(train) [36][1340/2505] lr: 5.0000e-05 eta: 15:30:57 time: 1.0940 data_time: 0.0287 memory: 32703 grad_norm: 18.6128 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0533 loss: 1.0533 2022/07/30 14:59:42 - mmengine - INFO - Epoch(train) [36][1360/2505] lr: 5.0000e-05 eta: 15:30:36 time: 0.8828 data_time: 0.0275 memory: 32703 grad_norm: 18.3213 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0319 loss: 1.0319 2022/07/30 15:00:04 - mmengine - INFO - Epoch(train) [36][1380/2505] lr: 5.0000e-05 eta: 15:30:17 time: 1.0922 data_time: 0.0265 memory: 32703 grad_norm: 17.9820 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1303 loss: 1.1303 2022/07/30 15:00:23 - mmengine - INFO - Epoch(train) [36][1400/2505] lr: 5.0000e-05 eta: 15:29:57 time: 0.9379 data_time: 0.0261 memory: 32703 grad_norm: 18.1464 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0173 loss: 1.0173 2022/07/30 15:00:44 - mmengine - INFO - Epoch(train) [36][1420/2505] lr: 5.0000e-05 eta: 15:29:38 time: 1.0734 data_time: 0.0277 memory: 32703 grad_norm: 18.6414 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0845 loss: 1.0845 2022/07/30 15:01:01 - mmengine - INFO - Epoch(train) [36][1440/2505] lr: 5.0000e-05 eta: 15:29:16 time: 0.8542 data_time: 0.0292 memory: 32703 grad_norm: 18.6239 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0593 loss: 1.0593 2022/07/30 15:01:23 - mmengine - INFO - Epoch(train) [36][1460/2505] lr: 5.0000e-05 eta: 15:28:57 time: 1.0859 data_time: 0.0263 memory: 32703 grad_norm: 18.4326 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9825 loss: 0.9825 2022/07/30 15:01:40 - mmengine - INFO - Epoch(train) [36][1480/2505] lr: 5.0000e-05 eta: 15:28:36 time: 0.8527 data_time: 0.0309 memory: 32703 grad_norm: 17.7958 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0720 loss: 1.0720 2022/07/30 15:02:01 - mmengine - INFO - Epoch(train) [36][1500/2505] lr: 5.0000e-05 eta: 15:28:17 time: 1.0601 data_time: 0.0286 memory: 32703 grad_norm: 17.9369 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0229 loss: 1.0229 2022/07/30 15:02:19 - mmengine - INFO - Epoch(train) [36][1520/2505] lr: 5.0000e-05 eta: 15:27:56 time: 0.8897 data_time: 0.0368 memory: 32703 grad_norm: 18.5728 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0790 loss: 1.0790 2022/07/30 15:02:39 - mmengine - INFO - Epoch(train) [36][1540/2505] lr: 5.0000e-05 eta: 15:27:36 time: 1.0227 data_time: 0.0494 memory: 32703 grad_norm: 18.0944 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0050 loss: 1.0050 2022/07/30 15:02:57 - mmengine - INFO - Epoch(train) [36][1560/2505] lr: 5.0000e-05 eta: 15:27:15 time: 0.9013 data_time: 0.0487 memory: 32703 grad_norm: 19.1806 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0951 loss: 1.0951 2022/07/30 15:03:19 - mmengine - INFO - Epoch(train) [36][1580/2505] lr: 5.0000e-05 eta: 15:26:56 time: 1.0659 data_time: 0.0280 memory: 32703 grad_norm: 18.4333 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 0.8619 loss: 0.8619 2022/07/30 15:03:38 - mmengine - INFO - Epoch(train) [36][1600/2505] lr: 5.0000e-05 eta: 15:26:36 time: 0.9651 data_time: 0.1302 memory: 32703 grad_norm: 18.2352 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 0.8506 loss: 0.8506 2022/07/30 15:03:58 - mmengine - INFO - Epoch(train) [36][1620/2505] lr: 5.0000e-05 eta: 15:26:16 time: 0.9989 data_time: 0.1066 memory: 32703 grad_norm: 18.5488 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9686 loss: 0.9686 2022/07/30 15:04:17 - mmengine - INFO - Epoch(train) [36][1640/2505] lr: 5.0000e-05 eta: 15:25:56 time: 0.9631 data_time: 0.1127 memory: 32703 grad_norm: 18.2010 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9507 loss: 0.9507 2022/07/30 15:04:37 - mmengine - INFO - Epoch(train) [36][1660/2505] lr: 5.0000e-05 eta: 15:25:36 time: 0.9710 data_time: 0.1393 memory: 32703 grad_norm: 18.4068 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0260 loss: 1.0260 2022/07/30 15:04:56 - mmengine - INFO - Epoch(train) [36][1680/2505] lr: 5.0000e-05 eta: 15:25:16 time: 0.9705 data_time: 0.1331 memory: 32703 grad_norm: 18.4640 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9242 loss: 0.9242 2022/07/30 15:05:16 - mmengine - INFO - Epoch(train) [36][1700/2505] lr: 5.0000e-05 eta: 15:24:56 time: 0.9942 data_time: 0.1207 memory: 32703 grad_norm: 18.4951 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2249 loss: 1.2249 2022/07/30 15:05:38 - mmengine - INFO - Epoch(train) [36][1720/2505] lr: 5.0000e-05 eta: 15:24:37 time: 1.0697 data_time: 0.1155 memory: 32703 grad_norm: 18.7282 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2730 loss: 1.2730 2022/07/30 15:05:56 - mmengine - INFO - Epoch(train) [36][1740/2505] lr: 5.0000e-05 eta: 15:24:16 time: 0.9234 data_time: 0.0287 memory: 32703 grad_norm: 17.9329 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0267 loss: 1.0267 2022/07/30 15:06:16 - mmengine - INFO - Epoch(train) [36][1760/2505] lr: 5.0000e-05 eta: 15:23:57 time: 1.0035 data_time: 0.0405 memory: 32703 grad_norm: 19.1296 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2249 loss: 1.2249 2022/07/30 15:06:35 - mmengine - INFO - Epoch(train) [36][1780/2505] lr: 5.0000e-05 eta: 15:23:36 time: 0.9450 data_time: 0.0290 memory: 32703 grad_norm: 18.4888 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2827 loss: 1.2827 2022/07/30 15:06:55 - mmengine - INFO - Epoch(train) [36][1800/2505] lr: 5.0000e-05 eta: 15:23:16 time: 0.9910 data_time: 0.0276 memory: 32703 grad_norm: 18.4651 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1162 loss: 1.1162 2022/07/30 15:07:15 - mmengine - INFO - Epoch(train) [36][1820/2505] lr: 5.0000e-05 eta: 15:22:57 time: 0.9927 data_time: 0.0270 memory: 32703 grad_norm: 18.0762 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9703 loss: 0.9703 2022/07/30 15:07:34 - mmengine - INFO - Epoch(train) [36][1840/2505] lr: 5.0000e-05 eta: 15:22:36 time: 0.9631 data_time: 0.0278 memory: 32703 grad_norm: 18.8146 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1242 loss: 1.1242 2022/07/30 15:07:53 - mmengine - INFO - Epoch(train) [36][1860/2505] lr: 5.0000e-05 eta: 15:22:16 time: 0.9616 data_time: 0.0273 memory: 32703 grad_norm: 18.7064 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2177 loss: 1.2177 2022/07/30 15:08:14 - mmengine - INFO - Epoch(train) [36][1880/2505] lr: 5.0000e-05 eta: 15:21:57 time: 1.0206 data_time: 0.0267 memory: 32703 grad_norm: 17.1739 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9404 loss: 0.9404 2022/07/30 15:08:34 - mmengine - INFO - Epoch(train) [36][1900/2505] lr: 5.0000e-05 eta: 15:21:37 time: 1.0225 data_time: 0.0265 memory: 32703 grad_norm: 18.0568 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9234 loss: 0.9234 2022/07/30 15:08:51 - mmengine - INFO - Epoch(train) [36][1920/2505] lr: 5.0000e-05 eta: 15:21:16 time: 0.8599 data_time: 0.0262 memory: 32703 grad_norm: 18.6099 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9615 loss: 0.9615 2022/07/30 15:09:12 - mmengine - INFO - Epoch(train) [36][1940/2505] lr: 5.0000e-05 eta: 15:20:56 time: 1.0293 data_time: 0.0257 memory: 32703 grad_norm: 19.4472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0532 loss: 1.0532 2022/07/30 15:09:30 - mmengine - INFO - Epoch(train) [36][1960/2505] lr: 5.0000e-05 eta: 15:20:35 time: 0.8918 data_time: 0.0331 memory: 32703 grad_norm: 18.8164 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0987 loss: 1.0987 2022/07/30 15:09:52 - mmengine - INFO - Epoch(train) [36][1980/2505] lr: 5.0000e-05 eta: 15:20:17 time: 1.1146 data_time: 0.0284 memory: 32703 grad_norm: 17.8300 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0238 loss: 1.0238 2022/07/30 15:10:10 - mmengine - INFO - Epoch(train) [36][2000/2505] lr: 5.0000e-05 eta: 15:19:56 time: 0.9254 data_time: 0.0268 memory: 32703 grad_norm: 18.0770 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0331 loss: 1.0331 2022/07/30 15:10:33 - mmengine - INFO - Epoch(train) [36][2020/2505] lr: 5.0000e-05 eta: 15:19:38 time: 1.1165 data_time: 0.0270 memory: 32703 grad_norm: 18.9201 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2450 loss: 1.2450 2022/07/30 15:10:51 - mmengine - INFO - Epoch(train) [36][2040/2505] lr: 5.0000e-05 eta: 15:19:17 time: 0.9082 data_time: 0.0274 memory: 32703 grad_norm: 18.2447 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1705 loss: 1.1705 2022/07/30 15:11:11 - mmengine - INFO - Epoch(train) [36][2060/2505] lr: 5.0000e-05 eta: 15:18:57 time: 1.0113 data_time: 0.0265 memory: 32703 grad_norm: 19.2851 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1630 loss: 1.1630 2022/07/30 15:11:29 - mmengine - INFO - Epoch(train) [36][2080/2505] lr: 5.0000e-05 eta: 15:18:36 time: 0.8991 data_time: 0.0328 memory: 32703 grad_norm: 18.7525 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1485 loss: 1.1485 2022/07/30 15:11:51 - mmengine - INFO - Epoch(train) [36][2100/2505] lr: 5.0000e-05 eta: 15:18:17 time: 1.0693 data_time: 0.0319 memory: 32703 grad_norm: 18.3836 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0792 loss: 1.0792 2022/07/30 15:12:10 - mmengine - INFO - Epoch(train) [36][2120/2505] lr: 5.0000e-05 eta: 15:17:57 time: 0.9745 data_time: 0.0277 memory: 32703 grad_norm: 18.0476 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8538 loss: 0.8538 2022/07/30 15:12:31 - mmengine - INFO - Epoch(train) [36][2140/2505] lr: 5.0000e-05 eta: 15:17:38 time: 1.0175 data_time: 0.0280 memory: 32703 grad_norm: 19.2154 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2190 loss: 1.2190 2022/07/30 15:12:49 - mmengine - INFO - Epoch(train) [36][2160/2505] lr: 5.0000e-05 eta: 15:17:17 time: 0.9133 data_time: 0.0349 memory: 32703 grad_norm: 18.3600 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1583 loss: 1.1583 2022/07/30 15:13:09 - mmengine - INFO - Epoch(train) [36][2180/2505] lr: 5.0000e-05 eta: 15:16:57 time: 0.9970 data_time: 0.0269 memory: 32703 grad_norm: 18.2081 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2914 loss: 1.2914 2022/07/30 15:13:29 - mmengine - INFO - Epoch(train) [36][2200/2505] lr: 5.0000e-05 eta: 15:16:37 time: 0.9929 data_time: 0.0255 memory: 32703 grad_norm: 17.7779 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0373 loss: 1.0373 2022/07/30 15:13:48 - mmengine - INFO - Epoch(train) [36][2220/2505] lr: 5.0000e-05 eta: 15:16:18 time: 0.9979 data_time: 0.0264 memory: 32703 grad_norm: 18.5323 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1369 loss: 1.1369 2022/07/30 15:14:08 - mmengine - INFO - Epoch(train) [36][2240/2505] lr: 5.0000e-05 eta: 15:15:57 time: 0.9518 data_time: 0.0274 memory: 32703 grad_norm: 18.4405 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9447 loss: 0.9447 2022/07/30 15:14:29 - mmengine - INFO - Epoch(train) [36][2260/2505] lr: 5.0000e-05 eta: 15:15:39 time: 1.0919 data_time: 0.0286 memory: 32703 grad_norm: 17.8338 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1347 loss: 1.1347 2022/07/30 15:14:47 - mmengine - INFO - Epoch(train) [36][2280/2505] lr: 5.0000e-05 eta: 15:15:17 time: 0.8804 data_time: 0.0324 memory: 32703 grad_norm: 17.8998 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0284 loss: 1.0284 2022/07/30 15:15:08 - mmengine - INFO - Epoch(train) [36][2300/2505] lr: 5.0000e-05 eta: 15:14:58 time: 1.0743 data_time: 0.0309 memory: 32703 grad_norm: 18.1295 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1055 loss: 1.1055 2022/07/30 15:15:27 - mmengine - INFO - Epoch(train) [36][2320/2505] lr: 5.0000e-05 eta: 15:14:38 time: 0.9448 data_time: 0.0293 memory: 32703 grad_norm: 17.7381 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9650 loss: 0.9650 2022/07/30 15:15:32 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 15:15:47 - mmengine - INFO - Epoch(train) [36][2340/2505] lr: 5.0000e-05 eta: 15:14:18 time: 1.0011 data_time: 0.0291 memory: 32703 grad_norm: 18.6110 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0204 loss: 1.0204 2022/07/30 15:16:06 - mmengine - INFO - Epoch(train) [36][2360/2505] lr: 5.0000e-05 eta: 15:13:57 time: 0.9053 data_time: 0.0278 memory: 32703 grad_norm: 18.8099 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0990 loss: 1.0990 2022/07/30 15:16:27 - mmengine - INFO - Epoch(train) [36][2380/2505] lr: 5.0000e-05 eta: 15:13:38 time: 1.0521 data_time: 0.0311 memory: 32703 grad_norm: 18.6471 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1128 loss: 1.1128 2022/07/30 15:16:44 - mmengine - INFO - Epoch(train) [36][2400/2505] lr: 5.0000e-05 eta: 15:13:17 time: 0.8911 data_time: 0.0331 memory: 32703 grad_norm: 17.5788 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0964 loss: 1.0964 2022/07/30 15:17:06 - mmengine - INFO - Epoch(train) [36][2420/2505] lr: 5.0000e-05 eta: 15:12:58 time: 1.0775 data_time: 0.0296 memory: 32703 grad_norm: 18.4455 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1621 loss: 1.1621 2022/07/30 15:17:23 - mmengine - INFO - Epoch(train) [36][2440/2505] lr: 5.0000e-05 eta: 15:12:37 time: 0.8658 data_time: 0.0301 memory: 32703 grad_norm: 17.7257 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8993 loss: 0.8993 2022/07/30 15:17:45 - mmengine - INFO - Epoch(train) [36][2460/2505] lr: 5.0000e-05 eta: 15:12:18 time: 1.0636 data_time: 0.0269 memory: 32703 grad_norm: 18.1834 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2219 loss: 1.2219 2022/07/30 15:18:03 - mmengine - INFO - Epoch(train) [36][2480/2505] lr: 5.0000e-05 eta: 15:11:57 time: 0.9080 data_time: 0.0357 memory: 32703 grad_norm: 19.2196 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9942 loss: 0.9942 2022/07/30 15:18:21 - mmengine - INFO - Epoch(train) [36][2500/2505] lr: 5.0000e-05 eta: 15:11:37 time: 0.9322 data_time: 0.0278 memory: 32703 grad_norm: 18.6032 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8980 loss: 0.8980 2022/07/30 15:18:24 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 15:18:24 - mmengine - INFO - Epoch(train) [36][2505/2505] lr: 5.0000e-05 eta: 15:11:37 time: 0.7302 data_time: 0.0203 memory: 32703 grad_norm: 18.6095 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.0466 loss: 1.0466 2022/07/30 15:18:24 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/07/30 15:18:31 - mmengine - INFO - Epoch(val) [36][20/2475] eta: 0:04:17 time: 0.1047 data_time: 0.0722 memory: 817 2022/07/30 15:18:33 - mmengine - INFO - Epoch(val) [36][40/2475] eta: 0:03:30 time: 0.0864 data_time: 0.0552 memory: 817 2022/07/30 15:18:34 - mmengine - INFO - Epoch(val) [36][60/2475] eta: 0:02:43 time: 0.0676 data_time: 0.0362 memory: 817 2022/07/30 15:18:36 - mmengine - INFO - Epoch(val) [36][80/2475] eta: 0:03:16 time: 0.0822 data_time: 0.0511 memory: 817 2022/07/30 15:18:38 - mmengine - INFO - Epoch(val) [36][100/2475] eta: 0:03:10 time: 0.0804 data_time: 0.0473 memory: 817 2022/07/30 15:18:39 - mmengine - INFO - Epoch(val) [36][120/2475] eta: 0:03:23 time: 0.0865 data_time: 0.0549 memory: 817 2022/07/30 15:18:41 - mmengine - INFO - Epoch(val) [36][140/2475] eta: 0:02:58 time: 0.0762 data_time: 0.0455 memory: 817 2022/07/30 15:18:43 - mmengine - INFO - Epoch(val) [36][160/2475] eta: 0:03:07 time: 0.0812 data_time: 0.0502 memory: 817 2022/07/30 15:18:44 - mmengine - INFO - Epoch(val) [36][180/2475] eta: 0:02:41 time: 0.0704 data_time: 0.0331 memory: 817 2022/07/30 15:18:46 - mmengine - INFO - Epoch(val) [36][200/2475] eta: 0:03:25 time: 0.0904 data_time: 0.0585 memory: 817 2022/07/30 15:18:47 - mmengine - INFO - Epoch(val) [36][220/2475] eta: 0:02:20 time: 0.0623 data_time: 0.0301 memory: 817 2022/07/30 15:18:49 - mmengine - INFO - Epoch(val) [36][240/2475] eta: 0:03:30 time: 0.0942 data_time: 0.0609 memory: 817 2022/07/30 15:18:51 - mmengine - INFO - Epoch(val) [36][260/2475] eta: 0:03:23 time: 0.0917 data_time: 0.0605 memory: 817 2022/07/30 15:18:52 - mmengine - INFO - Epoch(val) [36][280/2475] eta: 0:03:06 time: 0.0849 data_time: 0.0546 memory: 817 2022/07/30 15:18:54 - mmengine - INFO - Epoch(val) [36][300/2475] eta: 0:02:25 time: 0.0667 data_time: 0.0339 memory: 817 2022/07/30 15:18:55 - mmengine - INFO - Epoch(val) [36][320/2475] eta: 0:02:53 time: 0.0807 data_time: 0.0511 memory: 817 2022/07/30 15:18:57 - mmengine - INFO - Epoch(val) [36][340/2475] eta: 0:03:06 time: 0.0876 data_time: 0.0557 memory: 817 2022/07/30 15:18:59 - mmengine - INFO - Epoch(val) [36][360/2475] eta: 0:03:24 time: 0.0965 data_time: 0.0662 memory: 817 2022/07/30 15:19:00 - mmengine - INFO - Epoch(val) [36][380/2475] eta: 0:02:12 time: 0.0633 data_time: 0.0323 memory: 817 2022/07/30 15:19:02 - mmengine - INFO - Epoch(val) [36][400/2475] eta: 0:03:04 time: 0.0887 data_time: 0.0564 memory: 817 2022/07/30 15:19:04 - mmengine - INFO - Epoch(val) [36][420/2475] eta: 0:02:27 time: 0.0716 data_time: 0.0368 memory: 817 2022/07/30 15:19:05 - mmengine - INFO - Epoch(val) [36][440/2475] eta: 0:02:13 time: 0.0657 data_time: 0.0334 memory: 817 2022/07/30 15:19:07 - mmengine - INFO - Epoch(val) [36][460/2475] eta: 0:02:49 time: 0.0841 data_time: 0.0524 memory: 817 2022/07/30 15:19:08 - mmengine - INFO - Epoch(val) [36][480/2475] eta: 0:02:23 time: 0.0720 data_time: 0.0407 memory: 817 2022/07/30 15:19:10 - mmengine - INFO - Epoch(val) [36][500/2475] eta: 0:02:35 time: 0.0787 data_time: 0.0475 memory: 817 2022/07/30 15:19:11 - mmengine - INFO - Epoch(val) [36][520/2475] eta: 0:02:50 time: 0.0874 data_time: 0.0561 memory: 817 2022/07/30 15:19:13 - mmengine - INFO - Epoch(val) [36][540/2475] eta: 0:02:49 time: 0.0874 data_time: 0.0566 memory: 817 2022/07/30 15:19:15 - mmengine - INFO - Epoch(val) [36][560/2475] eta: 0:02:26 time: 0.0763 data_time: 0.0450 memory: 817 2022/07/30 15:19:17 - mmengine - INFO - Epoch(val) [36][580/2475] eta: 0:03:06 time: 0.0986 data_time: 0.0658 memory: 817 2022/07/30 15:19:18 - mmengine - INFO - Epoch(val) [36][600/2475] eta: 0:02:14 time: 0.0716 data_time: 0.0378 memory: 817 2022/07/30 15:19:20 - mmengine - INFO - Epoch(val) [36][620/2475] eta: 0:02:56 time: 0.0954 data_time: 0.0643 memory: 817 2022/07/30 15:19:21 - mmengine - INFO - Epoch(val) [36][640/2475] eta: 0:02:12 time: 0.0720 data_time: 0.0396 memory: 817 2022/07/30 15:19:23 - mmengine - INFO - Epoch(val) [36][660/2475] eta: 0:02:30 time: 0.0828 data_time: 0.0508 memory: 817 2022/07/30 15:19:25 - mmengine - INFO - Epoch(val) [36][680/2475] eta: 0:02:23 time: 0.0797 data_time: 0.0385 memory: 817 2022/07/30 15:19:26 - mmengine - INFO - Epoch(val) [36][700/2475] eta: 0:02:06 time: 0.0713 data_time: 0.0393 memory: 817 2022/07/30 15:19:28 - mmengine - INFO - Epoch(val) [36][720/2475] eta: 0:02:38 time: 0.0902 data_time: 0.0574 memory: 817 2022/07/30 15:19:29 - mmengine - INFO - Epoch(val) [36][740/2475] eta: 0:01:52 time: 0.0650 data_time: 0.0343 memory: 817 2022/07/30 15:19:31 - mmengine - INFO - Epoch(val) [36][760/2475] eta: 0:02:09 time: 0.0752 data_time: 0.0438 memory: 817 2022/07/30 15:19:33 - mmengine - INFO - Epoch(val) [36][780/2475] eta: 0:02:35 time: 0.0920 data_time: 0.0580 memory: 817 2022/07/30 15:19:34 - mmengine - INFO - Epoch(val) [36][800/2475] eta: 0:01:46 time: 0.0635 data_time: 0.0315 memory: 817 2022/07/30 15:19:36 - mmengine - INFO - Epoch(val) [36][820/2475] eta: 0:02:38 time: 0.0960 data_time: 0.0662 memory: 817 2022/07/30 15:19:37 - mmengine - INFO - Epoch(val) [36][840/2475] eta: 0:01:59 time: 0.0730 data_time: 0.0425 memory: 817 2022/07/30 15:19:39 - mmengine - INFO - Epoch(val) [36][860/2475] eta: 0:02:26 time: 0.0907 data_time: 0.0594 memory: 817 2022/07/30 15:19:41 - mmengine - INFO - Epoch(val) [36][880/2475] eta: 0:02:05 time: 0.0788 data_time: 0.0460 memory: 817 2022/07/30 15:19:42 - mmengine - INFO - Epoch(val) [36][900/2475] eta: 0:02:08 time: 0.0817 data_time: 0.0493 memory: 817 2022/07/30 15:19:45 - mmengine - INFO - Epoch(val) [36][920/2475] eta: 0:02:52 time: 0.1109 data_time: 0.0472 memory: 817 2022/07/30 15:19:46 - mmengine - INFO - Epoch(val) [36][940/2475] eta: 0:01:20 time: 0.0527 data_time: 0.0153 memory: 817 2022/07/30 15:19:47 - mmengine - INFO - Epoch(val) [36][960/2475] eta: 0:02:00 time: 0.0794 data_time: 0.0483 memory: 817 2022/07/30 15:19:49 - mmengine - INFO - Epoch(val) [36][980/2475] eta: 0:02:13 time: 0.0894 data_time: 0.0575 memory: 817 2022/07/30 15:19:50 - mmengine - INFO - Epoch(val) [36][1000/2475] eta: 0:01:40 time: 0.0681 data_time: 0.0374 memory: 817 2022/07/30 15:19:52 - mmengine - INFO - Epoch(val) [36][1020/2475] eta: 0:02:08 time: 0.0886 data_time: 0.0579 memory: 817 2022/07/30 15:19:53 - mmengine - INFO - Epoch(val) [36][1040/2475] eta: 0:01:35 time: 0.0668 data_time: 0.0366 memory: 817 2022/07/30 15:19:55 - mmengine - INFO - Epoch(val) [36][1060/2475] eta: 0:02:17 time: 0.0971 data_time: 0.0656 memory: 817 2022/07/30 15:19:57 - mmengine - INFO - Epoch(val) [36][1080/2475] eta: 0:01:34 time: 0.0675 data_time: 0.0374 memory: 817 2022/07/30 15:19:58 - mmengine - INFO - Epoch(val) [36][1100/2475] eta: 0:01:49 time: 0.0795 data_time: 0.0482 memory: 817 2022/07/30 15:20:00 - mmengine - INFO - Epoch(val) [36][1120/2475] eta: 0:01:49 time: 0.0806 data_time: 0.0477 memory: 817 2022/07/30 15:20:02 - mmengine - INFO - Epoch(val) [36][1140/2475] eta: 0:01:55 time: 0.0863 data_time: 0.0545 memory: 817 2022/07/30 15:20:04 - mmengine - INFO - Epoch(val) [36][1160/2475] eta: 0:02:30 time: 0.1141 data_time: 0.0624 memory: 817 2022/07/30 15:20:05 - mmengine - INFO - Epoch(val) [36][1180/2475] eta: 0:01:16 time: 0.0588 data_time: 0.0253 memory: 817 2022/07/30 15:20:07 - mmengine - INFO - Epoch(val) [36][1200/2475] eta: 0:01:28 time: 0.0692 data_time: 0.0374 memory: 817 2022/07/30 15:20:08 - mmengine - INFO - Epoch(val) [36][1220/2475] eta: 0:01:43 time: 0.0828 data_time: 0.0515 memory: 817 2022/07/30 15:20:10 - mmengine - INFO - Epoch(val) [36][1240/2475] eta: 0:01:54 time: 0.0928 data_time: 0.0607 memory: 817 2022/07/30 15:20:12 - mmengine - INFO - Epoch(val) [36][1260/2475] eta: 0:01:42 time: 0.0840 data_time: 0.0500 memory: 817 2022/07/30 15:20:13 - mmengine - INFO - Epoch(val) [36][1280/2475] eta: 0:01:24 time: 0.0707 data_time: 0.0370 memory: 817 2022/07/30 15:20:15 - mmengine - INFO - Epoch(val) [36][1300/2475] eta: 0:01:39 time: 0.0844 data_time: 0.0531 memory: 817 2022/07/30 15:20:16 - mmengine - INFO - Epoch(val) [36][1320/2475] eta: 0:01:24 time: 0.0730 data_time: 0.0415 memory: 817 2022/07/30 15:20:18 - mmengine - INFO - Epoch(val) [36][1340/2475] eta: 0:01:54 time: 0.1011 data_time: 0.0695 memory: 817 2022/07/30 15:20:20 - mmengine - INFO - Epoch(val) [36][1360/2475] eta: 0:01:10 time: 0.0632 data_time: 0.0308 memory: 817 2022/07/30 15:20:21 - mmengine - INFO - Epoch(val) [36][1380/2475] eta: 0:01:26 time: 0.0788 data_time: 0.0459 memory: 817 2022/07/30 15:20:23 - mmengine - INFO - Epoch(val) [36][1400/2475] eta: 0:01:13 time: 0.0687 data_time: 0.0371 memory: 817 2022/07/30 15:20:25 - mmengine - INFO - Epoch(val) [36][1420/2475] eta: 0:01:57 time: 0.1110 data_time: 0.0775 memory: 817 2022/07/30 15:20:26 - mmengine - INFO - Epoch(val) [36][1440/2475] eta: 0:01:22 time: 0.0793 data_time: 0.0480 memory: 817 2022/07/30 15:20:28 - mmengine - INFO - Epoch(val) [36][1460/2475] eta: 0:01:31 time: 0.0899 data_time: 0.0576 memory: 817 2022/07/30 15:20:30 - mmengine - INFO - Epoch(val) [36][1480/2475] eta: 0:01:07 time: 0.0679 data_time: 0.0348 memory: 817 2022/07/30 15:20:31 - mmengine - INFO - Epoch(val) [36][1500/2475] eta: 0:01:18 time: 0.0802 data_time: 0.0489 memory: 817 2022/07/30 15:20:33 - mmengine - INFO - Epoch(val) [36][1520/2475] eta: 0:01:16 time: 0.0805 data_time: 0.0500 memory: 817 2022/07/30 15:20:34 - mmengine - INFO - Epoch(val) [36][1540/2475] eta: 0:01:10 time: 0.0754 data_time: 0.0430 memory: 817 2022/07/30 15:20:36 - mmengine - INFO - Epoch(val) [36][1560/2475] eta: 0:01:28 time: 0.0968 data_time: 0.0644 memory: 817 2022/07/30 15:20:38 - mmengine - INFO - Epoch(val) [36][1580/2475] eta: 0:00:59 time: 0.0659 data_time: 0.0347 memory: 817 2022/07/30 15:20:39 - mmengine - INFO - Epoch(val) [36][1600/2475] eta: 0:01:12 time: 0.0824 data_time: 0.0520 memory: 817 2022/07/30 15:20:40 - mmengine - INFO - Epoch(val) [36][1620/2475] eta: 0:00:55 time: 0.0651 data_time: 0.0340 memory: 817 2022/07/30 15:20:42 - mmengine - INFO - Epoch(val) [36][1640/2475] eta: 0:01:12 time: 0.0868 data_time: 0.0546 memory: 817 2022/07/30 15:20:44 - mmengine - INFO - Epoch(val) [36][1660/2475] eta: 0:01:10 time: 0.0860 data_time: 0.0416 memory: 817 2022/07/30 15:20:45 - mmengine - INFO - Epoch(val) [36][1680/2475] eta: 0:00:56 time: 0.0705 data_time: 0.0334 memory: 817 2022/07/30 15:20:47 - mmengine - INFO - Epoch(val) [36][1700/2475] eta: 0:01:14 time: 0.0966 data_time: 0.0663 memory: 817 2022/07/30 15:20:49 - mmengine - INFO - Epoch(val) [36][1720/2475] eta: 0:01:11 time: 0.0949 data_time: 0.0637 memory: 817 2022/07/30 15:20:50 - mmengine - INFO - Epoch(val) [36][1740/2475] eta: 0:00:43 time: 0.0591 data_time: 0.0283 memory: 817 2022/07/30 15:20:52 - mmengine - INFO - Epoch(val) [36][1760/2475] eta: 0:01:08 time: 0.0962 data_time: 0.0639 memory: 817 2022/07/30 15:20:54 - mmengine - INFO - Epoch(val) [36][1780/2475] eta: 0:00:50 time: 0.0729 data_time: 0.0413 memory: 817 2022/07/30 15:20:56 - mmengine - INFO - Epoch(val) [36][1800/2475] eta: 0:01:05 time: 0.0973 data_time: 0.0659 memory: 817 2022/07/30 15:20:57 - mmengine - INFO - Epoch(val) [36][1820/2475] eta: 0:00:43 time: 0.0667 data_time: 0.0350 memory: 817 2022/07/30 15:20:59 - mmengine - INFO - Epoch(val) [36][1840/2475] eta: 0:00:54 time: 0.0853 data_time: 0.0531 memory: 817 2022/07/30 15:21:00 - mmengine - INFO - Epoch(val) [36][1860/2475] eta: 0:00:43 time: 0.0707 data_time: 0.0375 memory: 817 2022/07/30 15:21:02 - mmengine - INFO - Epoch(val) [36][1880/2475] eta: 0:01:03 time: 0.1068 data_time: 0.0755 memory: 817 2022/07/30 15:21:05 - mmengine - INFO - Epoch(val) [36][1900/2475] eta: 0:01:06 time: 0.1153 data_time: 0.0481 memory: 817 2022/07/30 15:21:06 - mmengine - INFO - Epoch(val) [36][1920/2475] eta: 0:00:26 time: 0.0483 data_time: 0.0042 memory: 817 2022/07/30 15:21:07 - mmengine - INFO - Epoch(val) [36][1940/2475] eta: 0:00:43 time: 0.0804 data_time: 0.0495 memory: 817 2022/07/30 15:21:09 - mmengine - INFO - Epoch(val) [36][1960/2475] eta: 0:00:38 time: 0.0751 data_time: 0.0435 memory: 817 2022/07/30 15:21:10 - mmengine - INFO - Epoch(val) [36][1980/2475] eta: 0:00:43 time: 0.0882 data_time: 0.0557 memory: 817 2022/07/30 15:21:12 - mmengine - INFO - Epoch(val) [36][2000/2475] eta: 0:00:35 time: 0.0744 data_time: 0.0433 memory: 817 2022/07/30 15:21:14 - mmengine - INFO - Epoch(val) [36][2020/2475] eta: 0:00:39 time: 0.0861 data_time: 0.0542 memory: 817 2022/07/30 15:21:15 - mmengine - INFO - Epoch(val) [36][2040/2475] eta: 0:00:31 time: 0.0735 data_time: 0.0419 memory: 817 2022/07/30 15:21:17 - mmengine - INFO - Epoch(val) [36][2060/2475] eta: 0:00:34 time: 0.0822 data_time: 0.0511 memory: 817 2022/07/30 15:21:18 - mmengine - INFO - Epoch(val) [36][2080/2475] eta: 0:00:31 time: 0.0808 data_time: 0.0491 memory: 817 2022/07/30 15:21:20 - mmengine - INFO - Epoch(val) [36][2100/2475] eta: 0:00:35 time: 0.0952 data_time: 0.0631 memory: 817 2022/07/30 15:21:22 - mmengine - INFO - Epoch(val) [36][2120/2475] eta: 0:00:25 time: 0.0732 data_time: 0.0432 memory: 817 2022/07/30 15:21:24 - mmengine - INFO - Epoch(val) [36][2140/2475] eta: 0:00:32 time: 0.0962 data_time: 0.0657 memory: 817 2022/07/30 15:21:25 - mmengine - INFO - Epoch(val) [36][2160/2475] eta: 0:00:19 time: 0.0617 data_time: 0.0298 memory: 817 2022/07/30 15:21:27 - mmengine - INFO - Epoch(val) [36][2180/2475] eta: 0:00:25 time: 0.0861 data_time: 0.0526 memory: 817 2022/07/30 15:21:29 - mmengine - INFO - Epoch(val) [36][2200/2475] eta: 0:00:25 time: 0.0929 data_time: 0.0600 memory: 817 2022/07/30 15:21:30 - mmengine - INFO - Epoch(val) [36][2220/2475] eta: 0:00:22 time: 0.0866 data_time: 0.0548 memory: 817 2022/07/30 15:21:32 - mmengine - INFO - Epoch(val) [36][2240/2475] eta: 0:00:18 time: 0.0776 data_time: 0.0455 memory: 817 2022/07/30 15:21:34 - mmengine - INFO - Epoch(val) [36][2260/2475] eta: 0:00:19 time: 0.0919 data_time: 0.0606 memory: 817 2022/07/30 15:21:35 - mmengine - INFO - Epoch(val) [36][2280/2475] eta: 0:00:14 time: 0.0725 data_time: 0.0419 memory: 817 2022/07/30 15:21:37 - mmengine - INFO - Epoch(val) [36][2300/2475] eta: 0:00:17 time: 0.1012 data_time: 0.0693 memory: 817 2022/07/30 15:21:39 - mmengine - INFO - Epoch(val) [36][2320/2475] eta: 0:00:11 time: 0.0770 data_time: 0.0449 memory: 817 2022/07/30 15:21:40 - mmengine - INFO - Epoch(val) [36][2340/2475] eta: 0:00:11 time: 0.0865 data_time: 0.0544 memory: 817 2022/07/30 15:21:42 - mmengine - INFO - Epoch(val) [36][2360/2475] eta: 0:00:09 time: 0.0821 data_time: 0.0505 memory: 817 2022/07/30 15:21:44 - mmengine - INFO - Epoch(val) [36][2380/2475] eta: 0:00:09 time: 0.0961 data_time: 0.0643 memory: 817 2022/07/30 15:21:45 - mmengine - INFO - Epoch(val) [36][2400/2475] eta: 0:00:02 time: 0.0361 data_time: 0.0029 memory: 817 2022/07/30 15:21:45 - mmengine - INFO - Epoch(val) [36][2420/2475] eta: 0:00:01 time: 0.0362 data_time: 0.0061 memory: 817 2022/07/30 15:21:46 - mmengine - INFO - Epoch(val) [36][2440/2475] eta: 0:00:01 time: 0.0371 data_time: 0.0081 memory: 817 2022/07/30 15:21:47 - mmengine - INFO - Epoch(val) [36][2460/2475] eta: 0:00:00 time: 0.0325 data_time: 0.0035 memory: 817 2022/07/30 15:21:49 - mmengine - INFO - Epoch(val) [36][2475/2475] acc/top1: 0.7581 acc/top5: 0.9191 acc/mean1: 0.7580 2022/07/30 15:21:49 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_34.pth is removed 2022/07/30 15:21:51 - mmengine - INFO - The best checkpoint with 0.7581 acc/top1 at 37 epoch is saved to best_acc/top1_epoch_37.pth. 2022/07/30 15:22:16 - mmengine - INFO - Epoch(train) [37][20/2505] lr: 5.0000e-05 eta: 15:11:12 time: 1.2816 data_time: 0.7088 memory: 32703 grad_norm: 18.1588 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9205 loss: 0.9205 2022/07/30 15:22:35 - mmengine - INFO - Epoch(train) [37][40/2505] lr: 5.0000e-05 eta: 15:10:52 time: 0.9262 data_time: 0.3389 memory: 32703 grad_norm: 18.3626 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9684 loss: 0.9684 2022/07/30 15:22:56 - mmengine - INFO - Epoch(train) [37][60/2505] lr: 5.0000e-05 eta: 15:10:32 time: 1.0382 data_time: 0.4733 memory: 32703 grad_norm: 18.8261 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9923 loss: 0.9923 2022/07/30 15:23:13 - mmengine - INFO - Epoch(train) [37][80/2505] lr: 5.0000e-05 eta: 15:10:11 time: 0.8885 data_time: 0.2940 memory: 32703 grad_norm: 19.2000 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9977 loss: 0.9977 2022/07/30 15:23:35 - mmengine - INFO - Epoch(train) [37][100/2505] lr: 5.0000e-05 eta: 15:09:53 time: 1.0996 data_time: 0.5219 memory: 32703 grad_norm: 18.2552 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9004 loss: 0.9004 2022/07/30 15:23:54 - mmengine - INFO - Epoch(train) [37][120/2505] lr: 5.0000e-05 eta: 15:09:32 time: 0.9078 data_time: 0.3192 memory: 32703 grad_norm: 18.1599 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9611 loss: 0.9611 2022/07/30 15:24:15 - mmengine - INFO - Epoch(train) [37][140/2505] lr: 5.0000e-05 eta: 15:09:13 time: 1.0831 data_time: 0.4906 memory: 32703 grad_norm: 17.6466 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0365 loss: 1.0365 2022/07/30 15:24:33 - mmengine - INFO - Epoch(train) [37][160/2505] lr: 5.0000e-05 eta: 15:08:52 time: 0.8765 data_time: 0.2897 memory: 32703 grad_norm: 18.8303 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0587 loss: 1.0587 2022/07/30 15:24:54 - mmengine - INFO - Epoch(train) [37][180/2505] lr: 5.0000e-05 eta: 15:08:33 time: 1.0611 data_time: 0.4781 memory: 32703 grad_norm: 18.4200 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9533 loss: 0.9533 2022/07/30 15:25:13 - mmengine - INFO - Epoch(train) [37][200/2505] lr: 5.0000e-05 eta: 15:08:12 time: 0.9441 data_time: 0.3466 memory: 32703 grad_norm: 18.4595 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0151 loss: 1.0151 2022/07/30 15:25:35 - mmengine - INFO - Epoch(train) [37][220/2505] lr: 5.0000e-05 eta: 15:07:54 time: 1.0957 data_time: 0.5022 memory: 32703 grad_norm: 18.2302 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.3011 loss: 1.3011 2022/07/30 15:25:53 - mmengine - INFO - Epoch(train) [37][240/2505] lr: 5.0000e-05 eta: 15:07:33 time: 0.9154 data_time: 0.3147 memory: 32703 grad_norm: 19.2236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1961 loss: 1.1961 2022/07/30 15:26:14 - mmengine - INFO - Epoch(train) [37][260/2505] lr: 5.0000e-05 eta: 15:07:14 time: 1.0683 data_time: 0.4260 memory: 32703 grad_norm: 18.0873 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9802 loss: 0.9802 2022/07/30 15:26:32 - mmengine - INFO - Epoch(train) [37][280/2505] lr: 5.0000e-05 eta: 15:06:53 time: 0.8739 data_time: 0.3030 memory: 32703 grad_norm: 18.5933 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1383 loss: 1.1383 2022/07/30 15:26:54 - mmengine - INFO - Epoch(train) [37][300/2505] lr: 5.0000e-05 eta: 15:06:34 time: 1.1081 data_time: 0.5202 memory: 32703 grad_norm: 17.6906 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1067 loss: 1.1067 2022/07/30 15:27:12 - mmengine - INFO - Epoch(train) [37][320/2505] lr: 5.0000e-05 eta: 15:06:13 time: 0.9041 data_time: 0.3295 memory: 32703 grad_norm: 18.1050 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.1862 loss: 1.1862 2022/07/30 15:27:34 - mmengine - INFO - Epoch(train) [37][340/2505] lr: 5.0000e-05 eta: 15:05:54 time: 1.0724 data_time: 0.4541 memory: 32703 grad_norm: 18.7579 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1127 loss: 1.1127 2022/07/30 15:27:52 - mmengine - INFO - Epoch(train) [37][360/2505] lr: 5.0000e-05 eta: 15:05:34 time: 0.9166 data_time: 0.3086 memory: 32703 grad_norm: 18.1993 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1232 loss: 1.1232 2022/07/30 15:28:13 - mmengine - INFO - Epoch(train) [37][380/2505] lr: 5.0000e-05 eta: 15:05:15 time: 1.0663 data_time: 0.4583 memory: 32703 grad_norm: 18.1136 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0663 loss: 1.0663 2022/07/30 15:28:32 - mmengine - INFO - Epoch(train) [37][400/2505] lr: 5.0000e-05 eta: 15:04:54 time: 0.9175 data_time: 0.3321 memory: 32703 grad_norm: 18.3425 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9614 loss: 0.9614 2022/07/30 15:28:53 - mmengine - INFO - Epoch(train) [37][420/2505] lr: 5.0000e-05 eta: 15:04:35 time: 1.0665 data_time: 0.4635 memory: 32703 grad_norm: 18.2278 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1116 loss: 1.1116 2022/07/30 15:29:12 - mmengine - INFO - Epoch(train) [37][440/2505] lr: 5.0000e-05 eta: 15:04:14 time: 0.9264 data_time: 0.3547 memory: 32703 grad_norm: 18.5712 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.2297 loss: 1.2297 2022/07/30 15:29:32 - mmengine - INFO - Epoch(train) [37][460/2505] lr: 5.0000e-05 eta: 15:03:55 time: 1.0448 data_time: 0.4696 memory: 32703 grad_norm: 18.7275 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9635 loss: 0.9635 2022/07/30 15:29:52 - mmengine - INFO - Epoch(train) [37][480/2505] lr: 5.0000e-05 eta: 15:03:35 time: 0.9559 data_time: 0.3530 memory: 32703 grad_norm: 19.2298 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1903 loss: 1.1903 2022/07/30 15:30:12 - mmengine - INFO - Epoch(train) [37][500/2505] lr: 5.0000e-05 eta: 15:03:15 time: 1.0272 data_time: 0.4172 memory: 32703 grad_norm: 17.8897 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0677 loss: 1.0677 2022/07/30 15:30:30 - mmengine - INFO - Epoch(train) [37][520/2505] lr: 5.0000e-05 eta: 15:02:55 time: 0.9093 data_time: 0.3010 memory: 32703 grad_norm: 19.0458 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9828 loss: 0.9828 2022/07/30 15:30:51 - mmengine - INFO - Epoch(train) [37][540/2505] lr: 5.0000e-05 eta: 15:02:35 time: 1.0075 data_time: 0.4220 memory: 32703 grad_norm: 18.6084 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0342 loss: 1.0342 2022/07/30 15:31:08 - mmengine - INFO - Epoch(train) [37][560/2505] lr: 5.0000e-05 eta: 15:02:14 time: 0.8691 data_time: 0.2927 memory: 32703 grad_norm: 18.7020 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9245 loss: 0.9245 2022/07/30 15:31:30 - mmengine - INFO - Epoch(train) [37][580/2505] lr: 5.0000e-05 eta: 15:01:55 time: 1.1243 data_time: 0.5328 memory: 32703 grad_norm: 18.3108 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9818 loss: 0.9818 2022/07/30 15:31:48 - mmengine - INFO - Epoch(train) [37][600/2505] lr: 5.0000e-05 eta: 15:01:34 time: 0.8772 data_time: 0.3015 memory: 32703 grad_norm: 18.1493 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2318 loss: 1.2318 2022/07/30 15:32:09 - mmengine - INFO - Epoch(train) [37][620/2505] lr: 5.0000e-05 eta: 15:01:15 time: 1.0528 data_time: 0.4588 memory: 32703 grad_norm: 18.8619 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0781 loss: 1.0781 2022/07/30 15:32:27 - mmengine - INFO - Epoch(train) [37][640/2505] lr: 5.0000e-05 eta: 15:00:54 time: 0.9147 data_time: 0.3162 memory: 32703 grad_norm: 19.0455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0211 loss: 1.0211 2022/07/30 15:32:49 - mmengine - INFO - Epoch(train) [37][660/2505] lr: 5.0000e-05 eta: 15:00:36 time: 1.1058 data_time: 0.5126 memory: 32703 grad_norm: 18.7526 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0907 loss: 1.0907 2022/07/30 15:33:07 - mmengine - INFO - Epoch(train) [37][680/2505] lr: 5.0000e-05 eta: 15:00:15 time: 0.8951 data_time: 0.3009 memory: 32703 grad_norm: 18.7947 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9560 loss: 0.9560 2022/07/30 15:33:28 - mmengine - INFO - Epoch(train) [37][700/2505] lr: 5.0000e-05 eta: 14:59:56 time: 1.0490 data_time: 0.4600 memory: 32703 grad_norm: 18.5903 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0569 loss: 1.0569 2022/07/30 15:33:47 - mmengine - INFO - Epoch(train) [37][720/2505] lr: 5.0000e-05 eta: 14:59:35 time: 0.9374 data_time: 0.3432 memory: 32703 grad_norm: 19.2678 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8822 loss: 0.8822 2022/07/30 15:34:08 - mmengine - INFO - Epoch(train) [37][740/2505] lr: 5.0000e-05 eta: 14:59:16 time: 1.0322 data_time: 0.4342 memory: 32703 grad_norm: 17.9434 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0330 loss: 1.0330 2022/07/30 15:34:26 - mmengine - INFO - Epoch(train) [37][760/2505] lr: 5.0000e-05 eta: 14:58:55 time: 0.9309 data_time: 0.3351 memory: 32703 grad_norm: 18.4866 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0878 loss: 1.0878 2022/07/30 15:34:48 - mmengine - INFO - Epoch(train) [37][780/2505] lr: 5.0000e-05 eta: 14:58:36 time: 1.0969 data_time: 0.4895 memory: 32703 grad_norm: 17.8911 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0183 loss: 1.0183 2022/07/30 15:35:05 - mmengine - INFO - Epoch(train) [37][800/2505] lr: 5.0000e-05 eta: 14:58:15 time: 0.8330 data_time: 0.2552 memory: 32703 grad_norm: 19.1317 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3595 loss: 1.3595 2022/07/30 15:35:27 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 15:35:27 - mmengine - INFO - Epoch(train) [37][820/2505] lr: 5.0000e-05 eta: 14:57:56 time: 1.0879 data_time: 0.4992 memory: 32703 grad_norm: 17.8513 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9430 loss: 0.9430 2022/07/30 15:35:43 - mmengine - INFO - Epoch(train) [37][840/2505] lr: 5.0000e-05 eta: 14:57:34 time: 0.8394 data_time: 0.2698 memory: 32703 grad_norm: 18.7021 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1860 loss: 1.1860 2022/07/30 15:36:04 - mmengine - INFO - Epoch(train) [37][860/2505] lr: 5.0000e-05 eta: 14:57:15 time: 1.0280 data_time: 0.3511 memory: 32703 grad_norm: 18.4650 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0488 loss: 1.0488 2022/07/30 15:36:23 - mmengine - INFO - Epoch(train) [37][880/2505] lr: 5.0000e-05 eta: 14:56:55 time: 0.9695 data_time: 0.2403 memory: 32703 grad_norm: 18.2210 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9881 loss: 0.9881 2022/07/30 15:36:44 - mmengine - INFO - Epoch(train) [37][900/2505] lr: 5.0000e-05 eta: 14:56:36 time: 1.0436 data_time: 0.3563 memory: 32703 grad_norm: 18.5713 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2610 loss: 1.2610 2022/07/30 15:37:04 - mmengine - INFO - Epoch(train) [37][920/2505] lr: 5.0000e-05 eta: 14:56:16 time: 1.0016 data_time: 0.1110 memory: 32703 grad_norm: 18.4227 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0087 loss: 1.0087 2022/07/30 15:37:23 - mmengine - INFO - Epoch(train) [37][940/2505] lr: 5.0000e-05 eta: 14:55:55 time: 0.9206 data_time: 0.0350 memory: 32703 grad_norm: 18.3170 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0062 loss: 1.0062 2022/07/30 15:37:44 - mmengine - INFO - Epoch(train) [37][960/2505] lr: 5.0000e-05 eta: 14:55:36 time: 1.0423 data_time: 0.0609 memory: 32703 grad_norm: 18.0329 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9456 loss: 0.9456 2022/07/30 15:38:02 - mmengine - INFO - Epoch(train) [37][980/2505] lr: 5.0000e-05 eta: 14:55:15 time: 0.9420 data_time: 0.1019 memory: 32703 grad_norm: 18.4837 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2709 loss: 1.2709 2022/07/30 15:38:23 - mmengine - INFO - Epoch(train) [37][1000/2505] lr: 5.0000e-05 eta: 14:54:56 time: 1.0425 data_time: 0.0263 memory: 32703 grad_norm: 18.3863 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1273 loss: 1.1273 2022/07/30 15:38:42 - mmengine - INFO - Epoch(train) [37][1020/2505] lr: 5.0000e-05 eta: 14:54:36 time: 0.9300 data_time: 0.0320 memory: 32703 grad_norm: 18.1890 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1198 loss: 1.1198 2022/07/30 15:39:02 - mmengine - INFO - Epoch(train) [37][1040/2505] lr: 5.0000e-05 eta: 14:54:16 time: 1.0097 data_time: 0.0336 memory: 32703 grad_norm: 19.4748 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9946 loss: 0.9946 2022/07/30 15:39:21 - mmengine - INFO - Epoch(train) [37][1060/2505] lr: 5.0000e-05 eta: 14:53:55 time: 0.9386 data_time: 0.0274 memory: 32703 grad_norm: 18.0475 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0959 loss: 1.0959 2022/07/30 15:39:41 - mmengine - INFO - Epoch(train) [37][1080/2505] lr: 5.0000e-05 eta: 14:53:36 time: 0.9874 data_time: 0.0693 memory: 32703 grad_norm: 18.8205 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4580 loss: 1.4580 2022/07/30 15:40:00 - mmengine - INFO - Epoch(train) [37][1100/2505] lr: 5.0000e-05 eta: 14:53:15 time: 0.9518 data_time: 0.0659 memory: 32703 grad_norm: 18.0754 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0009 loss: 1.0009 2022/07/30 15:40:20 - mmengine - INFO - Epoch(train) [37][1120/2505] lr: 5.0000e-05 eta: 14:52:56 time: 1.0293 data_time: 0.0514 memory: 32703 grad_norm: 18.8826 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9775 loss: 0.9775 2022/07/30 15:40:40 - mmengine - INFO - Epoch(train) [37][1140/2505] lr: 5.0000e-05 eta: 14:52:36 time: 0.9877 data_time: 0.0425 memory: 32703 grad_norm: 17.8169 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9168 loss: 0.9168 2022/07/30 15:41:01 - mmengine - INFO - Epoch(train) [37][1160/2505] lr: 5.0000e-05 eta: 14:52:16 time: 1.0210 data_time: 0.0290 memory: 32703 grad_norm: 18.5870 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0562 loss: 1.0562 2022/07/30 15:41:19 - mmengine - INFO - Epoch(train) [37][1180/2505] lr: 5.0000e-05 eta: 14:51:56 time: 0.9112 data_time: 0.1011 memory: 32703 grad_norm: 17.7551 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9090 loss: 0.9090 2022/07/30 15:41:39 - mmengine - INFO - Epoch(train) [37][1200/2505] lr: 5.0000e-05 eta: 14:51:36 time: 1.0205 data_time: 0.0869 memory: 32703 grad_norm: 18.2213 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0621 loss: 1.0621 2022/07/30 15:41:58 - mmengine - INFO - Epoch(train) [37][1220/2505] lr: 5.0000e-05 eta: 14:51:16 time: 0.9658 data_time: 0.1698 memory: 32703 grad_norm: 18.8578 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1083 loss: 1.1083 2022/07/30 15:42:18 - mmengine - INFO - Epoch(train) [37][1240/2505] lr: 5.0000e-05 eta: 14:50:56 time: 0.9722 data_time: 0.1245 memory: 32703 grad_norm: 19.5899 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9785 loss: 0.9785 2022/07/30 15:42:38 - mmengine - INFO - Epoch(train) [37][1260/2505] lr: 5.0000e-05 eta: 14:50:36 time: 1.0121 data_time: 0.1609 memory: 32703 grad_norm: 18.8882 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2926 loss: 1.2926 2022/07/30 15:42:59 - mmengine - INFO - Epoch(train) [37][1280/2505] lr: 5.0000e-05 eta: 14:50:17 time: 1.0498 data_time: 0.0335 memory: 32703 grad_norm: 18.2082 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0314 loss: 1.0314 2022/07/30 15:43:18 - mmengine - INFO - Epoch(train) [37][1300/2505] lr: 5.0000e-05 eta: 14:49:57 time: 0.9439 data_time: 0.0389 memory: 32703 grad_norm: 17.9982 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0918 loss: 1.0918 2022/07/30 15:43:38 - mmengine - INFO - Epoch(train) [37][1320/2505] lr: 5.0000e-05 eta: 14:49:37 time: 1.0197 data_time: 0.0271 memory: 32703 grad_norm: 17.5755 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1884 loss: 1.1884 2022/07/30 15:43:56 - mmengine - INFO - Epoch(train) [37][1340/2505] lr: 5.0000e-05 eta: 14:49:16 time: 0.8841 data_time: 0.0273 memory: 32703 grad_norm: 18.1108 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8625 loss: 0.8625 2022/07/30 15:44:17 - mmengine - INFO - Epoch(train) [37][1360/2505] lr: 5.0000e-05 eta: 14:48:57 time: 1.0273 data_time: 0.0261 memory: 32703 grad_norm: 18.1229 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0612 loss: 1.0612 2022/07/30 15:44:35 - mmengine - INFO - Epoch(train) [37][1380/2505] lr: 5.0000e-05 eta: 14:48:36 time: 0.9316 data_time: 0.0281 memory: 32703 grad_norm: 18.7255 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1404 loss: 1.1404 2022/07/30 15:44:56 - mmengine - INFO - Epoch(train) [37][1400/2505] lr: 5.0000e-05 eta: 14:48:16 time: 1.0194 data_time: 0.0257 memory: 32703 grad_norm: 18.6230 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0628 loss: 1.0628 2022/07/30 15:45:15 - mmengine - INFO - Epoch(train) [37][1420/2505] lr: 5.0000e-05 eta: 14:47:56 time: 0.9546 data_time: 0.0308 memory: 32703 grad_norm: 18.2991 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0003 loss: 1.0003 2022/07/30 15:45:36 - mmengine - INFO - Epoch(train) [37][1440/2505] lr: 5.0000e-05 eta: 14:47:37 time: 1.0298 data_time: 0.0316 memory: 32703 grad_norm: 18.1745 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.0253 loss: 1.0253 2022/07/30 15:45:54 - mmengine - INFO - Epoch(train) [37][1460/2505] lr: 5.0000e-05 eta: 14:47:16 time: 0.9416 data_time: 0.1354 memory: 32703 grad_norm: 18.4631 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8345 loss: 0.8345 2022/07/30 15:46:15 - mmengine - INFO - Epoch(train) [37][1480/2505] lr: 5.0000e-05 eta: 14:46:57 time: 1.0319 data_time: 0.0654 memory: 32703 grad_norm: 18.0065 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1977 loss: 1.1977 2022/07/30 15:46:34 - mmengine - INFO - Epoch(train) [37][1500/2505] lr: 5.0000e-05 eta: 14:46:37 time: 0.9416 data_time: 0.0296 memory: 32703 grad_norm: 18.7596 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0603 loss: 1.0603 2022/07/30 15:46:54 - mmengine - INFO - Epoch(train) [37][1520/2505] lr: 5.0000e-05 eta: 14:46:17 time: 1.0058 data_time: 0.0320 memory: 32703 grad_norm: 17.8913 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0692 loss: 1.0692 2022/07/30 15:47:13 - mmengine - INFO - Epoch(train) [37][1540/2505] lr: 5.0000e-05 eta: 14:45:57 time: 0.9745 data_time: 0.0327 memory: 32703 grad_norm: 18.4867 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0311 loss: 1.0311 2022/07/30 15:47:34 - mmengine - INFO - Epoch(train) [37][1560/2505] lr: 5.0000e-05 eta: 14:45:37 time: 1.0408 data_time: 0.0271 memory: 32703 grad_norm: 18.5059 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1123 loss: 1.1123 2022/07/30 15:47:52 - mmengine - INFO - Epoch(train) [37][1580/2505] lr: 5.0000e-05 eta: 14:45:16 time: 0.8846 data_time: 0.0413 memory: 32703 grad_norm: 17.8539 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8145 loss: 0.8145 2022/07/30 15:48:13 - mmengine - INFO - Epoch(train) [37][1600/2505] lr: 5.0000e-05 eta: 14:44:57 time: 1.0411 data_time: 0.0821 memory: 32703 grad_norm: 18.6830 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0105 loss: 1.0105 2022/07/30 15:48:31 - mmengine - INFO - Epoch(train) [37][1620/2505] lr: 5.0000e-05 eta: 14:44:37 time: 0.9284 data_time: 0.1028 memory: 32703 grad_norm: 18.5919 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2024 loss: 1.2024 2022/07/30 15:48:52 - mmengine - INFO - Epoch(train) [37][1640/2505] lr: 5.0000e-05 eta: 14:44:17 time: 1.0276 data_time: 0.0306 memory: 32703 grad_norm: 18.5271 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8770 loss: 0.8770 2022/07/30 15:49:11 - mmengine - INFO - Epoch(train) [37][1660/2505] lr: 5.0000e-05 eta: 14:43:57 time: 0.9571 data_time: 0.1616 memory: 32703 grad_norm: 18.2870 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2702 loss: 1.2702 2022/07/30 15:49:32 - mmengine - INFO - Epoch(train) [37][1680/2505] lr: 5.0000e-05 eta: 14:43:38 time: 1.0440 data_time: 0.0297 memory: 32703 grad_norm: 18.5245 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9003 loss: 0.9003 2022/07/30 15:49:51 - mmengine - INFO - Epoch(train) [37][1700/2505] lr: 5.0000e-05 eta: 14:43:17 time: 0.9376 data_time: 0.1845 memory: 32703 grad_norm: 18.9232 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1790 loss: 1.1790 2022/07/30 15:50:11 - mmengine - INFO - Epoch(train) [37][1720/2505] lr: 5.0000e-05 eta: 14:42:58 time: 1.0304 data_time: 0.1037 memory: 32703 grad_norm: 17.6376 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9888 loss: 0.9888 2022/07/30 15:50:30 - mmengine - INFO - Epoch(train) [37][1740/2505] lr: 5.0000e-05 eta: 14:42:37 time: 0.9593 data_time: 0.0815 memory: 32703 grad_norm: 18.2129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1131 loss: 1.1131 2022/07/30 15:50:51 - mmengine - INFO - Epoch(train) [37][1760/2505] lr: 5.0000e-05 eta: 14:42:18 time: 1.0431 data_time: 0.0557 memory: 32703 grad_norm: 17.8287 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9656 loss: 0.9656 2022/07/30 15:51:10 - mmengine - INFO - Epoch(train) [37][1780/2505] lr: 5.0000e-05 eta: 14:41:58 time: 0.9423 data_time: 0.0646 memory: 32703 grad_norm: 17.7989 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9170 loss: 0.9170 2022/07/30 15:51:30 - mmengine - INFO - Epoch(train) [37][1800/2505] lr: 5.0000e-05 eta: 14:41:38 time: 0.9922 data_time: 0.0837 memory: 32703 grad_norm: 17.5807 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8086 loss: 0.8086 2022/07/30 15:51:49 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 15:51:49 - mmengine - INFO - Epoch(train) [37][1820/2505] lr: 5.0000e-05 eta: 14:41:17 time: 0.9297 data_time: 0.0889 memory: 32703 grad_norm: 17.5219 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8639 loss: 0.8639 2022/07/30 15:52:09 - mmengine - INFO - Epoch(train) [37][1840/2505] lr: 5.0000e-05 eta: 14:40:58 time: 1.0222 data_time: 0.0877 memory: 32703 grad_norm: 18.5574 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1387 loss: 1.1387 2022/07/30 15:52:28 - mmengine - INFO - Epoch(train) [37][1860/2505] lr: 5.0000e-05 eta: 14:40:37 time: 0.9450 data_time: 0.1395 memory: 32703 grad_norm: 18.5326 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0482 loss: 1.0482 2022/07/30 15:52:50 - mmengine - INFO - Epoch(train) [37][1880/2505] lr: 5.0000e-05 eta: 14:40:19 time: 1.0794 data_time: 0.1355 memory: 32703 grad_norm: 18.0297 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1276 loss: 1.1276 2022/07/30 15:53:07 - mmengine - INFO - Epoch(train) [37][1900/2505] lr: 5.0000e-05 eta: 14:39:58 time: 0.8819 data_time: 0.0269 memory: 32703 grad_norm: 18.6501 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9306 loss: 0.9306 2022/07/30 15:53:29 - mmengine - INFO - Epoch(train) [37][1920/2505] lr: 5.0000e-05 eta: 14:39:39 time: 1.0725 data_time: 0.0943 memory: 32703 grad_norm: 19.3892 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1533 loss: 1.1533 2022/07/30 15:53:46 - mmengine - INFO - Epoch(train) [37][1940/2505] lr: 5.0000e-05 eta: 14:39:17 time: 0.8767 data_time: 0.1207 memory: 32703 grad_norm: 18.7558 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9325 loss: 0.9325 2022/07/30 15:54:08 - mmengine - INFO - Epoch(train) [37][1960/2505] lr: 5.0000e-05 eta: 14:38:59 time: 1.0723 data_time: 0.0805 memory: 32703 grad_norm: 18.5593 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0769 loss: 1.0769 2022/07/30 15:54:28 - mmengine - INFO - Epoch(train) [37][1980/2505] lr: 5.0000e-05 eta: 14:38:39 time: 1.0069 data_time: 0.0429 memory: 32703 grad_norm: 18.4807 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1759 loss: 1.1759 2022/07/30 15:54:49 - mmengine - INFO - Epoch(train) [37][2000/2505] lr: 5.0000e-05 eta: 14:38:20 time: 1.0571 data_time: 0.0794 memory: 32703 grad_norm: 18.6736 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0071 loss: 1.0071 2022/07/30 15:55:11 - mmengine - INFO - Epoch(train) [37][2020/2505] lr: 5.0000e-05 eta: 14:38:01 time: 1.0862 data_time: 0.0263 memory: 32703 grad_norm: 18.6491 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0733 loss: 1.0733 2022/07/30 15:55:29 - mmengine - INFO - Epoch(train) [37][2040/2505] lr: 5.0000e-05 eta: 14:37:40 time: 0.9219 data_time: 0.0637 memory: 32703 grad_norm: 18.2870 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0303 loss: 1.0303 2022/07/30 15:55:50 - mmengine - INFO - Epoch(train) [37][2060/2505] lr: 5.0000e-05 eta: 14:37:21 time: 1.0304 data_time: 0.0279 memory: 32703 grad_norm: 18.4031 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0523 loss: 1.0523 2022/07/30 15:56:07 - mmengine - INFO - Epoch(train) [37][2080/2505] lr: 5.0000e-05 eta: 14:36:59 time: 0.8380 data_time: 0.0278 memory: 32703 grad_norm: 17.4940 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9217 loss: 0.9217 2022/07/30 15:56:28 - mmengine - INFO - Epoch(train) [37][2100/2505] lr: 5.0000e-05 eta: 14:36:41 time: 1.0970 data_time: 0.0284 memory: 32703 grad_norm: 18.0922 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.0905 loss: 1.0905 2022/07/30 15:56:46 - mmengine - INFO - Epoch(train) [37][2120/2505] lr: 5.0000e-05 eta: 14:36:19 time: 0.8663 data_time: 0.0277 memory: 32703 grad_norm: 19.1755 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0932 loss: 1.0932 2022/07/30 15:57:08 - mmengine - INFO - Epoch(train) [37][2140/2505] lr: 5.0000e-05 eta: 14:36:01 time: 1.1042 data_time: 0.0269 memory: 32703 grad_norm: 19.0399 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0654 loss: 1.0654 2022/07/30 15:57:27 - mmengine - INFO - Epoch(train) [37][2160/2505] lr: 5.0000e-05 eta: 14:35:40 time: 0.9463 data_time: 0.0294 memory: 32703 grad_norm: 18.3814 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0820 loss: 1.0820 2022/07/30 15:57:47 - mmengine - INFO - Epoch(train) [37][2180/2505] lr: 5.0000e-05 eta: 14:35:21 time: 0.9885 data_time: 0.0284 memory: 32703 grad_norm: 18.3749 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9821 loss: 0.9821 2022/07/30 15:58:04 - mmengine - INFO - Epoch(train) [37][2200/2505] lr: 5.0000e-05 eta: 14:34:59 time: 0.8518 data_time: 0.0396 memory: 32703 grad_norm: 18.9647 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9788 loss: 0.9788 2022/07/30 15:58:25 - mmengine - INFO - Epoch(train) [37][2220/2505] lr: 5.0000e-05 eta: 14:34:40 time: 1.0491 data_time: 0.0335 memory: 32703 grad_norm: 18.2270 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2308 loss: 1.2308 2022/07/30 15:58:43 - mmengine - INFO - Epoch(train) [37][2240/2505] lr: 5.0000e-05 eta: 14:34:19 time: 0.9370 data_time: 0.0284 memory: 32703 grad_norm: 18.6120 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9142 loss: 0.9142 2022/07/30 15:59:05 - mmengine - INFO - Epoch(train) [37][2260/2505] lr: 5.0000e-05 eta: 14:34:00 time: 1.0640 data_time: 0.0337 memory: 32703 grad_norm: 18.5004 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.2299 loss: 1.2299 2022/07/30 15:59:22 - mmengine - INFO - Epoch(train) [37][2280/2505] lr: 5.0000e-05 eta: 14:33:39 time: 0.8699 data_time: 0.0287 memory: 32703 grad_norm: 18.0139 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0301 loss: 1.0301 2022/07/30 15:59:43 - mmengine - INFO - Epoch(train) [37][2300/2505] lr: 5.0000e-05 eta: 14:33:20 time: 1.0683 data_time: 0.0325 memory: 32703 grad_norm: 18.2197 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8938 loss: 0.8938 2022/07/30 16:00:02 - mmengine - INFO - Epoch(train) [37][2320/2505] lr: 5.0000e-05 eta: 14:32:59 time: 0.9180 data_time: 0.0274 memory: 32703 grad_norm: 18.5529 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3118 loss: 1.3118 2022/07/30 16:00:22 - mmengine - INFO - Epoch(train) [37][2340/2505] lr: 5.0000e-05 eta: 14:32:40 time: 1.0197 data_time: 0.0420 memory: 32703 grad_norm: 18.6723 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8799 loss: 0.8799 2022/07/30 16:00:40 - mmengine - INFO - Epoch(train) [37][2360/2505] lr: 5.0000e-05 eta: 14:32:19 time: 0.9058 data_time: 0.0281 memory: 32703 grad_norm: 18.7373 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2745 loss: 1.2745 2022/07/30 16:01:01 - mmengine - INFO - Epoch(train) [37][2380/2505] lr: 5.0000e-05 eta: 14:32:00 time: 1.0422 data_time: 0.0280 memory: 32703 grad_norm: 18.7347 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.0975 loss: 1.0975 2022/07/30 16:01:21 - mmengine - INFO - Epoch(train) [37][2400/2505] lr: 5.0000e-05 eta: 14:31:40 time: 0.9821 data_time: 0.0288 memory: 32703 grad_norm: 18.9573 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0947 loss: 1.0947 2022/07/30 16:01:40 - mmengine - INFO - Epoch(train) [37][2420/2505] lr: 5.0000e-05 eta: 14:31:20 time: 0.9684 data_time: 0.0260 memory: 32703 grad_norm: 19.0445 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1548 loss: 1.1548 2022/07/30 16:02:00 - mmengine - INFO - Epoch(train) [37][2440/2505] lr: 5.0000e-05 eta: 14:31:00 time: 0.9701 data_time: 0.0262 memory: 32703 grad_norm: 18.5630 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1821 loss: 1.1821 2022/07/30 16:02:21 - mmengine - INFO - Epoch(train) [37][2460/2505] lr: 5.0000e-05 eta: 14:30:40 time: 1.0420 data_time: 0.0279 memory: 32703 grad_norm: 18.4268 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0136 loss: 1.0136 2022/07/30 16:02:39 - mmengine - INFO - Epoch(train) [37][2480/2505] lr: 5.0000e-05 eta: 14:30:20 time: 0.9070 data_time: 0.0305 memory: 32703 grad_norm: 18.5595 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0949 loss: 1.0949 2022/07/30 16:02:57 - mmengine - INFO - Epoch(train) [37][2500/2505] lr: 5.0000e-05 eta: 14:29:59 time: 0.9035 data_time: 0.0273 memory: 32703 grad_norm: 19.2109 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7695 loss: 0.7695 2022/07/30 16:03:00 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 16:03:00 - mmengine - INFO - Epoch(train) [37][2505/2505] lr: 5.0000e-05 eta: 14:29:59 time: 0.7602 data_time: 0.0192 memory: 32703 grad_norm: 19.4666 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9179 loss: 0.9179 2022/07/30 16:03:27 - mmengine - INFO - Epoch(train) [38][20/2505] lr: 5.0000e-05 eta: 14:29:35 time: 1.3768 data_time: 0.4570 memory: 32703 grad_norm: 19.2982 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1479 loss: 1.1479 2022/07/30 16:03:46 - mmengine - INFO - Epoch(train) [38][40/2505] lr: 5.0000e-05 eta: 14:29:15 time: 0.9255 data_time: 0.0321 memory: 32703 grad_norm: 18.8063 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1135 loss: 1.1135 2022/07/30 16:04:07 - mmengine - INFO - Epoch(train) [38][60/2505] lr: 5.0000e-05 eta: 14:28:56 time: 1.0710 data_time: 0.0299 memory: 32703 grad_norm: 18.5768 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8563 loss: 0.8563 2022/07/30 16:04:25 - mmengine - INFO - Epoch(train) [38][80/2505] lr: 5.0000e-05 eta: 14:28:35 time: 0.8795 data_time: 0.0301 memory: 32703 grad_norm: 18.7263 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9979 loss: 0.9979 2022/07/30 16:04:46 - mmengine - INFO - Epoch(train) [38][100/2505] lr: 5.0000e-05 eta: 14:28:16 time: 1.0591 data_time: 0.0359 memory: 32703 grad_norm: 18.4535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0752 loss: 1.0752 2022/07/30 16:05:03 - mmengine - INFO - Epoch(train) [38][120/2505] lr: 5.0000e-05 eta: 14:27:55 time: 0.8784 data_time: 0.0372 memory: 32703 grad_norm: 18.7251 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1135 loss: 1.1135 2022/07/30 16:05:25 - mmengine - INFO - Epoch(train) [38][140/2505] lr: 5.0000e-05 eta: 14:27:36 time: 1.0952 data_time: 0.0285 memory: 32703 grad_norm: 18.5157 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0838 loss: 1.0838 2022/07/30 16:05:44 - mmengine - INFO - Epoch(train) [38][160/2505] lr: 5.0000e-05 eta: 14:27:15 time: 0.9190 data_time: 0.0299 memory: 32703 grad_norm: 19.8379 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0729 loss: 1.0729 2022/07/30 16:06:04 - mmengine - INFO - Epoch(train) [38][180/2505] lr: 5.0000e-05 eta: 14:26:56 time: 1.0382 data_time: 0.0322 memory: 32703 grad_norm: 19.0781 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9984 loss: 0.9984 2022/07/30 16:06:23 - mmengine - INFO - Epoch(train) [38][200/2505] lr: 5.0000e-05 eta: 14:26:35 time: 0.9167 data_time: 0.0252 memory: 32703 grad_norm: 17.9401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1271 loss: 1.1271 2022/07/30 16:06:45 - mmengine - INFO - Epoch(train) [38][220/2505] lr: 5.0000e-05 eta: 14:26:17 time: 1.1082 data_time: 0.0307 memory: 32703 grad_norm: 18.7072 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0679 loss: 1.0679 2022/07/30 16:07:03 - mmengine - INFO - Epoch(train) [38][240/2505] lr: 5.0000e-05 eta: 14:25:56 time: 0.9134 data_time: 0.0305 memory: 32703 grad_norm: 17.9110 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0390 loss: 1.0390 2022/07/30 16:07:25 - mmengine - INFO - Epoch(train) [38][260/2505] lr: 5.0000e-05 eta: 14:25:37 time: 1.0779 data_time: 0.0322 memory: 32703 grad_norm: 18.0792 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0572 loss: 1.0572 2022/07/30 16:07:43 - mmengine - INFO - Epoch(train) [38][280/2505] lr: 5.0000e-05 eta: 14:25:16 time: 0.8853 data_time: 0.0280 memory: 32703 grad_norm: 19.2850 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0454 loss: 1.0454 2022/07/30 16:08:03 - mmengine - INFO - Epoch(train) [38][300/2505] lr: 5.0000e-05 eta: 14:24:56 time: 1.0214 data_time: 0.0276 memory: 32703 grad_norm: 18.4812 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0367 loss: 1.0367 2022/07/30 16:08:20 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 16:08:23 - mmengine - INFO - Epoch(train) [38][320/2505] lr: 5.0000e-05 eta: 14:24:37 time: 0.9856 data_time: 0.0295 memory: 32703 grad_norm: 18.6594 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9905 loss: 0.9905 2022/07/30 16:08:43 - mmengine - INFO - Epoch(train) [38][340/2505] lr: 5.0000e-05 eta: 14:24:17 time: 1.0166 data_time: 0.0271 memory: 32703 grad_norm: 18.6334 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0629 loss: 1.0629 2022/07/30 16:09:00 - mmengine - INFO - Epoch(train) [38][360/2505] lr: 5.0000e-05 eta: 14:23:55 time: 0.8262 data_time: 0.0279 memory: 32703 grad_norm: 18.7665 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8677 loss: 0.8677 2022/07/30 16:09:21 - mmengine - INFO - Epoch(train) [38][380/2505] lr: 5.0000e-05 eta: 14:23:36 time: 1.0798 data_time: 0.0270 memory: 32703 grad_norm: 19.5285 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1724 loss: 1.1724 2022/07/30 16:09:39 - mmengine - INFO - Epoch(train) [38][400/2505] lr: 5.0000e-05 eta: 14:23:16 time: 0.9089 data_time: 0.0311 memory: 32703 grad_norm: 20.1857 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2274 loss: 1.2274 2022/07/30 16:10:00 - mmengine - INFO - Epoch(train) [38][420/2505] lr: 5.0000e-05 eta: 14:22:56 time: 1.0154 data_time: 0.0272 memory: 32703 grad_norm: 18.6826 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9748 loss: 0.9748 2022/07/30 16:10:18 - mmengine - INFO - Epoch(train) [38][440/2505] lr: 5.0000e-05 eta: 14:22:35 time: 0.9108 data_time: 0.0274 memory: 32703 grad_norm: 17.6544 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8911 loss: 0.8911 2022/07/30 16:10:39 - mmengine - INFO - Epoch(train) [38][460/2505] lr: 5.0000e-05 eta: 14:22:16 time: 1.0673 data_time: 0.0294 memory: 32703 grad_norm: 18.3951 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0140 loss: 1.0140 2022/07/30 16:10:58 - mmengine - INFO - Epoch(train) [38][480/2505] lr: 5.0000e-05 eta: 14:21:56 time: 0.9415 data_time: 0.0322 memory: 32703 grad_norm: 18.1325 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1456 loss: 1.1456 2022/07/30 16:11:19 - mmengine - INFO - Epoch(train) [38][500/2505] lr: 5.0000e-05 eta: 14:21:37 time: 1.0334 data_time: 0.0272 memory: 32703 grad_norm: 18.9587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1849 loss: 1.1849 2022/07/30 16:11:37 - mmengine - INFO - Epoch(train) [38][520/2505] lr: 5.0000e-05 eta: 14:21:16 time: 0.8910 data_time: 0.0278 memory: 32703 grad_norm: 17.9783 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9198 loss: 0.9198 2022/07/30 16:11:58 - mmengine - INFO - Epoch(train) [38][540/2505] lr: 5.0000e-05 eta: 14:20:57 time: 1.0744 data_time: 0.0275 memory: 32703 grad_norm: 18.6759 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1294 loss: 1.1294 2022/07/30 16:12:16 - mmengine - INFO - Epoch(train) [38][560/2505] lr: 5.0000e-05 eta: 14:20:36 time: 0.8950 data_time: 0.0312 memory: 32703 grad_norm: 18.8468 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9628 loss: 0.9628 2022/07/30 16:12:37 - mmengine - INFO - Epoch(train) [38][580/2505] lr: 5.0000e-05 eta: 14:20:16 time: 1.0439 data_time: 0.0925 memory: 32703 grad_norm: 18.0098 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9550 loss: 0.9550 2022/07/30 16:12:55 - mmengine - INFO - Epoch(train) [38][600/2505] lr: 5.0000e-05 eta: 14:19:56 time: 0.9301 data_time: 0.0526 memory: 32703 grad_norm: 18.1695 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0091 loss: 1.0091 2022/07/30 16:13:17 - mmengine - INFO - Epoch(train) [38][620/2505] lr: 5.0000e-05 eta: 14:19:37 time: 1.0934 data_time: 0.0270 memory: 32703 grad_norm: 18.4082 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0445 loss: 1.0445 2022/07/30 16:13:35 - mmengine - INFO - Epoch(train) [38][640/2505] lr: 5.0000e-05 eta: 14:19:16 time: 0.8679 data_time: 0.0367 memory: 32703 grad_norm: 18.7193 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0287 loss: 1.0287 2022/07/30 16:13:57 - mmengine - INFO - Epoch(train) [38][660/2505] lr: 5.0000e-05 eta: 14:18:57 time: 1.1011 data_time: 0.0301 memory: 32703 grad_norm: 19.1461 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8614 loss: 0.8614 2022/07/30 16:14:15 - mmengine - INFO - Epoch(train) [38][680/2505] lr: 5.0000e-05 eta: 14:18:37 time: 0.9089 data_time: 0.0340 memory: 32703 grad_norm: 18.9331 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1792 loss: 1.1792 2022/07/30 16:14:35 - mmengine - INFO - Epoch(train) [38][700/2505] lr: 5.0000e-05 eta: 14:18:17 time: 1.0123 data_time: 0.0306 memory: 32703 grad_norm: 18.5887 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9422 loss: 0.9422 2022/07/30 16:14:54 - mmengine - INFO - Epoch(train) [38][720/2505] lr: 5.0000e-05 eta: 14:17:56 time: 0.9226 data_time: 0.0439 memory: 32703 grad_norm: 18.6814 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1543 loss: 1.1543 2022/07/30 16:15:15 - mmengine - INFO - Epoch(train) [38][740/2505] lr: 5.0000e-05 eta: 14:17:37 time: 1.0409 data_time: 0.0533 memory: 32703 grad_norm: 18.2908 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0228 loss: 1.0228 2022/07/30 16:15:33 - mmengine - INFO - Epoch(train) [38][760/2505] lr: 5.0000e-05 eta: 14:17:16 time: 0.9239 data_time: 0.0676 memory: 32703 grad_norm: 17.9377 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3685 loss: 1.3685 2022/07/30 16:15:54 - mmengine - INFO - Epoch(train) [38][780/2505] lr: 5.0000e-05 eta: 14:16:57 time: 1.0544 data_time: 0.0426 memory: 32703 grad_norm: 17.8977 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9620 loss: 0.9620 2022/07/30 16:16:13 - mmengine - INFO - Epoch(train) [38][800/2505] lr: 5.0000e-05 eta: 14:16:37 time: 0.9371 data_time: 0.0553 memory: 32703 grad_norm: 18.1732 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0222 loss: 1.0222 2022/07/30 16:16:32 - mmengine - INFO - Epoch(train) [38][820/2505] lr: 5.0000e-05 eta: 14:16:17 time: 0.9599 data_time: 0.2304 memory: 32703 grad_norm: 17.7880 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0638 loss: 1.0638 2022/07/30 16:16:53 - mmengine - INFO - Epoch(train) [38][840/2505] lr: 5.0000e-05 eta: 14:15:57 time: 1.0440 data_time: 0.3953 memory: 32703 grad_norm: 18.7733 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.0918 loss: 1.0918 2022/07/30 16:17:11 - mmengine - INFO - Epoch(train) [38][860/2505] lr: 5.0000e-05 eta: 14:15:37 time: 0.9050 data_time: 0.2852 memory: 32703 grad_norm: 17.8879 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0436 loss: 1.0436 2022/07/30 16:17:33 - mmengine - INFO - Epoch(train) [38][880/2505] lr: 5.0000e-05 eta: 14:15:18 time: 1.0950 data_time: 0.4920 memory: 32703 grad_norm: 18.0840 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0911 loss: 1.0911 2022/07/30 16:17:50 - mmengine - INFO - Epoch(train) [38][900/2505] lr: 5.0000e-05 eta: 14:14:57 time: 0.8687 data_time: 0.2710 memory: 32703 grad_norm: 18.7058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0005 loss: 1.0005 2022/07/30 16:18:11 - mmengine - INFO - Epoch(train) [38][920/2505] lr: 5.0000e-05 eta: 14:14:37 time: 1.0482 data_time: 0.4419 memory: 32703 grad_norm: 18.5277 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1913 loss: 1.1913 2022/07/30 16:18:29 - mmengine - INFO - Epoch(train) [38][940/2505] lr: 5.0000e-05 eta: 14:14:17 time: 0.8983 data_time: 0.2970 memory: 32703 grad_norm: 18.3163 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0655 loss: 1.0655 2022/07/30 16:18:50 - mmengine - INFO - Epoch(train) [38][960/2505] lr: 5.0000e-05 eta: 14:13:57 time: 1.0541 data_time: 0.4552 memory: 32703 grad_norm: 18.8720 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1579 loss: 1.1579 2022/07/30 16:19:09 - mmengine - INFO - Epoch(train) [38][980/2505] lr: 5.0000e-05 eta: 14:13:37 time: 0.9107 data_time: 0.3160 memory: 32703 grad_norm: 18.9696 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0523 loss: 1.0523 2022/07/30 16:19:29 - mmengine - INFO - Epoch(train) [38][1000/2505] lr: 5.0000e-05 eta: 14:13:17 time: 1.0290 data_time: 0.4188 memory: 32703 grad_norm: 18.2748 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1537 loss: 1.1537 2022/07/30 16:19:47 - mmengine - INFO - Epoch(train) [38][1020/2505] lr: 5.0000e-05 eta: 14:12:56 time: 0.8981 data_time: 0.3133 memory: 32703 grad_norm: 17.8580 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3337 loss: 1.3337 2022/07/30 16:20:09 - mmengine - INFO - Epoch(train) [38][1040/2505] lr: 5.0000e-05 eta: 14:12:38 time: 1.1145 data_time: 0.5165 memory: 32703 grad_norm: 17.4921 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0430 loss: 1.0430 2022/07/30 16:20:27 - mmengine - INFO - Epoch(train) [38][1060/2505] lr: 5.0000e-05 eta: 14:12:17 time: 0.8781 data_time: 0.2982 memory: 32703 grad_norm: 18.6839 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8937 loss: 0.8937 2022/07/30 16:20:48 - mmengine - INFO - Epoch(train) [38][1080/2505] lr: 5.0000e-05 eta: 14:11:58 time: 1.0689 data_time: 0.4641 memory: 32703 grad_norm: 18.1121 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0140 loss: 1.0140 2022/07/30 16:21:07 - mmengine - INFO - Epoch(train) [38][1100/2505] lr: 5.0000e-05 eta: 14:11:37 time: 0.9453 data_time: 0.3570 memory: 32703 grad_norm: 18.5260 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2289 loss: 1.2289 2022/07/30 16:21:28 - mmengine - INFO - Epoch(train) [38][1120/2505] lr: 5.0000e-05 eta: 14:11:18 time: 1.0205 data_time: 0.4238 memory: 32703 grad_norm: 19.0875 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1319 loss: 1.1319 2022/07/30 16:21:47 - mmengine - INFO - Epoch(train) [38][1140/2505] lr: 5.0000e-05 eta: 14:10:58 time: 0.9585 data_time: 0.3573 memory: 32703 grad_norm: 18.9269 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3022 loss: 1.3022 2022/07/30 16:22:08 - mmengine - INFO - Epoch(train) [38][1160/2505] lr: 5.0000e-05 eta: 14:10:38 time: 1.0321 data_time: 0.4577 memory: 32703 grad_norm: 18.4756 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9126 loss: 0.9126 2022/07/30 16:22:25 - mmengine - INFO - Epoch(train) [38][1180/2505] lr: 5.0000e-05 eta: 14:10:17 time: 0.8600 data_time: 0.2669 memory: 32703 grad_norm: 18.5666 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2378 loss: 1.2378 2022/07/30 16:22:47 - mmengine - INFO - Epoch(train) [38][1200/2505] lr: 5.0000e-05 eta: 14:09:58 time: 1.0912 data_time: 0.4907 memory: 32703 grad_norm: 18.1558 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0093 loss: 1.0093 2022/07/30 16:23:05 - mmengine - INFO - Epoch(train) [38][1220/2505] lr: 5.0000e-05 eta: 14:09:38 time: 0.9283 data_time: 0.3211 memory: 32703 grad_norm: 18.4792 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0985 loss: 1.0985 2022/07/30 16:23:24 - mmengine - INFO - Epoch(train) [38][1240/2505] lr: 5.0000e-05 eta: 14:09:17 time: 0.9623 data_time: 0.3725 memory: 32703 grad_norm: 18.5238 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8634 loss: 0.8634 2022/07/30 16:23:43 - mmengine - INFO - Epoch(train) [38][1260/2505] lr: 5.0000e-05 eta: 14:08:57 time: 0.9345 data_time: 0.2684 memory: 32703 grad_norm: 18.3438 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0405 loss: 1.0405 2022/07/30 16:24:03 - mmengine - INFO - Epoch(train) [38][1280/2505] lr: 5.0000e-05 eta: 14:08:37 time: 0.9841 data_time: 0.1780 memory: 32703 grad_norm: 18.6681 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8418 loss: 0.8418 2022/07/30 16:24:22 - mmengine - INFO - Epoch(train) [38][1300/2505] lr: 5.0000e-05 eta: 14:08:17 time: 0.9556 data_time: 0.2201 memory: 32703 grad_norm: 18.5328 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0085 loss: 1.0085 2022/07/30 16:24:37 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 16:24:43 - mmengine - INFO - Epoch(train) [38][1320/2505] lr: 5.0000e-05 eta: 14:07:58 time: 1.0520 data_time: 0.3826 memory: 32703 grad_norm: 18.2371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9076 loss: 0.9076 2022/07/30 16:25:02 - mmengine - INFO - Epoch(train) [38][1340/2505] lr: 5.0000e-05 eta: 14:07:37 time: 0.9626 data_time: 0.1856 memory: 32703 grad_norm: 18.6597 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8706 loss: 0.8706 2022/07/30 16:25:22 - mmengine - INFO - Epoch(train) [38][1360/2505] lr: 5.0000e-05 eta: 14:07:18 time: 1.0056 data_time: 0.2260 memory: 32703 grad_norm: 18.5864 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2347 loss: 1.2347 2022/07/30 16:25:42 - mmengine - INFO - Epoch(train) [38][1380/2505] lr: 5.0000e-05 eta: 14:06:58 time: 0.9649 data_time: 0.2531 memory: 32703 grad_norm: 19.1306 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0885 loss: 1.0885 2022/07/30 16:26:02 - mmengine - INFO - Epoch(train) [38][1400/2505] lr: 5.0000e-05 eta: 14:06:38 time: 1.0181 data_time: 0.2749 memory: 32703 grad_norm: 18.4297 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1635 loss: 1.1635 2022/07/30 16:26:22 - mmengine - INFO - Epoch(train) [38][1420/2505] lr: 5.0000e-05 eta: 14:06:18 time: 0.9820 data_time: 0.2195 memory: 32703 grad_norm: 18.5582 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1079 loss: 1.1079 2022/07/30 16:26:42 - mmengine - INFO - Epoch(train) [38][1440/2505] lr: 5.0000e-05 eta: 14:05:58 time: 1.0073 data_time: 0.3485 memory: 32703 grad_norm: 18.0172 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1426 loss: 1.1426 2022/07/30 16:27:01 - mmengine - INFO - Epoch(train) [38][1460/2505] lr: 5.0000e-05 eta: 14:05:38 time: 0.9708 data_time: 0.2143 memory: 32703 grad_norm: 18.1419 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0092 loss: 1.0092 2022/07/30 16:27:21 - mmengine - INFO - Epoch(train) [38][1480/2505] lr: 5.0000e-05 eta: 14:05:19 time: 0.9874 data_time: 0.2749 memory: 32703 grad_norm: 18.6631 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9812 loss: 0.9812 2022/07/30 16:27:40 - mmengine - INFO - Epoch(train) [38][1500/2505] lr: 5.0000e-05 eta: 14:04:58 time: 0.9653 data_time: 0.2180 memory: 32703 grad_norm: 17.5355 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1035 loss: 1.1035 2022/07/30 16:28:00 - mmengine - INFO - Epoch(train) [38][1520/2505] lr: 5.0000e-05 eta: 14:04:38 time: 0.9850 data_time: 0.3325 memory: 32703 grad_norm: 18.6333 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0501 loss: 1.0501 2022/07/30 16:28:18 - mmengine - INFO - Epoch(train) [38][1540/2505] lr: 5.0000e-05 eta: 14:04:18 time: 0.9168 data_time: 0.2870 memory: 32703 grad_norm: 19.1243 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2462 loss: 1.2462 2022/07/30 16:28:39 - mmengine - INFO - Epoch(train) [38][1560/2505] lr: 5.0000e-05 eta: 14:03:59 time: 1.0492 data_time: 0.4408 memory: 32703 grad_norm: 18.1627 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.1174 loss: 1.1174 2022/07/30 16:28:58 - mmengine - INFO - Epoch(train) [38][1580/2505] lr: 5.0000e-05 eta: 14:03:38 time: 0.9444 data_time: 0.3007 memory: 32703 grad_norm: 18.2747 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3140 loss: 1.3140 2022/07/30 16:29:18 - mmengine - INFO - Epoch(train) [38][1600/2505] lr: 5.0000e-05 eta: 14:03:19 time: 1.0112 data_time: 0.3048 memory: 32703 grad_norm: 17.5270 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1710 loss: 1.1710 2022/07/30 16:29:38 - mmengine - INFO - Epoch(train) [38][1620/2505] lr: 5.0000e-05 eta: 14:02:59 time: 0.9912 data_time: 0.1584 memory: 32703 grad_norm: 18.7807 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1115 loss: 1.1115 2022/07/30 16:29:57 - mmengine - INFO - Epoch(train) [38][1640/2505] lr: 5.0000e-05 eta: 14:02:39 time: 0.9602 data_time: 0.1537 memory: 32703 grad_norm: 18.0430 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0289 loss: 1.0289 2022/07/30 16:30:18 - mmengine - INFO - Epoch(train) [38][1660/2505] lr: 5.0000e-05 eta: 14:02:19 time: 1.0339 data_time: 0.0681 memory: 32703 grad_norm: 18.6160 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1057 loss: 1.1057 2022/07/30 16:30:37 - mmengine - INFO - Epoch(train) [38][1680/2505] lr: 5.0000e-05 eta: 14:01:59 time: 0.9400 data_time: 0.1284 memory: 32703 grad_norm: 18.8968 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0675 loss: 1.0675 2022/07/30 16:30:57 - mmengine - INFO - Epoch(train) [38][1700/2505] lr: 5.0000e-05 eta: 14:01:39 time: 1.0173 data_time: 0.0758 memory: 32703 grad_norm: 17.4376 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9857 loss: 0.9857 2022/07/30 16:31:17 - mmengine - INFO - Epoch(train) [38][1720/2505] lr: 5.0000e-05 eta: 14:01:20 time: 1.0069 data_time: 0.2350 memory: 32703 grad_norm: 18.6226 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2099 loss: 1.2099 2022/07/30 16:31:35 - mmengine - INFO - Epoch(train) [38][1740/2505] lr: 5.0000e-05 eta: 14:00:59 time: 0.9019 data_time: 0.2462 memory: 32703 grad_norm: 19.1819 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0593 loss: 1.0593 2022/07/30 16:31:56 - mmengine - INFO - Epoch(train) [38][1760/2505] lr: 5.0000e-05 eta: 14:00:39 time: 1.0261 data_time: 0.4096 memory: 32703 grad_norm: 18.4942 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8893 loss: 0.8893 2022/07/30 16:32:15 - mmengine - INFO - Epoch(train) [38][1780/2505] lr: 5.0000e-05 eta: 14:00:19 time: 0.9266 data_time: 0.3348 memory: 32703 grad_norm: 19.1119 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1714 loss: 1.1714 2022/07/30 16:32:36 - mmengine - INFO - Epoch(train) [38][1800/2505] lr: 5.0000e-05 eta: 14:00:00 time: 1.0847 data_time: 0.5048 memory: 32703 grad_norm: 18.3506 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0472 loss: 1.0472 2022/07/30 16:32:54 - mmengine - INFO - Epoch(train) [38][1820/2505] lr: 5.0000e-05 eta: 13:59:39 time: 0.9062 data_time: 0.3252 memory: 32703 grad_norm: 18.3741 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9608 loss: 0.9608 2022/07/30 16:33:15 - mmengine - INFO - Epoch(train) [38][1840/2505] lr: 5.0000e-05 eta: 13:59:20 time: 1.0279 data_time: 0.4509 memory: 32703 grad_norm: 18.7727 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7753 loss: 0.7753 2022/07/30 16:33:33 - mmengine - INFO - Epoch(train) [38][1860/2505] lr: 5.0000e-05 eta: 13:58:59 time: 0.9048 data_time: 0.3002 memory: 32703 grad_norm: 17.9750 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0796 loss: 1.0796 2022/07/30 16:33:54 - mmengine - INFO - Epoch(train) [38][1880/2505] lr: 5.0000e-05 eta: 13:58:40 time: 1.0489 data_time: 0.3508 memory: 32703 grad_norm: 19.0970 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0432 loss: 1.0432 2022/07/30 16:34:12 - mmengine - INFO - Epoch(train) [38][1900/2505] lr: 5.0000e-05 eta: 13:58:19 time: 0.9120 data_time: 0.3166 memory: 32703 grad_norm: 19.2611 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2038 loss: 1.2038 2022/07/30 16:34:34 - mmengine - INFO - Epoch(train) [38][1920/2505] lr: 5.0000e-05 eta: 13:58:00 time: 1.0818 data_time: 0.4670 memory: 32703 grad_norm: 18.3905 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.1538 loss: 1.1538 2022/07/30 16:34:52 - mmengine - INFO - Epoch(train) [38][1940/2505] lr: 5.0000e-05 eta: 13:57:39 time: 0.8827 data_time: 0.3053 memory: 32703 grad_norm: 18.9049 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1784 loss: 1.1784 2022/07/30 16:35:13 - mmengine - INFO - Epoch(train) [38][1960/2505] lr: 5.0000e-05 eta: 13:57:20 time: 1.0484 data_time: 0.4203 memory: 32703 grad_norm: 18.7978 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1388 loss: 1.1388 2022/07/30 16:35:31 - mmengine - INFO - Epoch(train) [38][1980/2505] lr: 5.0000e-05 eta: 13:56:59 time: 0.9230 data_time: 0.1632 memory: 32703 grad_norm: 17.9473 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1278 loss: 1.1278 2022/07/30 16:35:52 - mmengine - INFO - Epoch(train) [38][2000/2505] lr: 5.0000e-05 eta: 13:56:40 time: 1.0573 data_time: 0.4831 memory: 32703 grad_norm: 18.3820 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9762 loss: 0.9762 2022/07/30 16:36:09 - mmengine - INFO - Epoch(train) [38][2020/2505] lr: 5.0000e-05 eta: 13:56:19 time: 0.8632 data_time: 0.2909 memory: 32703 grad_norm: 18.4591 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2164 loss: 1.2164 2022/07/30 16:36:30 - mmengine - INFO - Epoch(train) [38][2040/2505] lr: 5.0000e-05 eta: 13:56:00 time: 1.0453 data_time: 0.3998 memory: 32703 grad_norm: 18.3168 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0281 loss: 1.0281 2022/07/30 16:36:49 - mmengine - INFO - Epoch(train) [38][2060/2505] lr: 5.0000e-05 eta: 13:55:39 time: 0.9517 data_time: 0.2652 memory: 32703 grad_norm: 17.9953 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9860 loss: 0.9860 2022/07/30 16:37:09 - mmengine - INFO - Epoch(train) [38][2080/2505] lr: 5.0000e-05 eta: 13:55:19 time: 0.9879 data_time: 0.2854 memory: 32703 grad_norm: 18.8778 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0674 loss: 1.0674 2022/07/30 16:37:30 - mmengine - INFO - Epoch(train) [38][2100/2505] lr: 5.0000e-05 eta: 13:55:00 time: 1.0185 data_time: 0.2114 memory: 32703 grad_norm: 18.8315 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1452 loss: 1.1452 2022/07/30 16:37:49 - mmengine - INFO - Epoch(train) [38][2120/2505] lr: 5.0000e-05 eta: 13:54:40 time: 0.9625 data_time: 0.0904 memory: 32703 grad_norm: 18.4342 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9085 loss: 0.9085 2022/07/30 16:38:10 - mmengine - INFO - Epoch(train) [38][2140/2505] lr: 5.0000e-05 eta: 13:54:21 time: 1.0572 data_time: 0.0333 memory: 32703 grad_norm: 18.7475 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8842 loss: 0.8842 2022/07/30 16:38:28 - mmengine - INFO - Epoch(train) [38][2160/2505] lr: 5.0000e-05 eta: 13:54:00 time: 0.9038 data_time: 0.0340 memory: 32703 grad_norm: 19.2965 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0472 loss: 1.0472 2022/07/30 16:38:51 - mmengine - INFO - Epoch(train) [38][2180/2505] lr: 5.0000e-05 eta: 13:53:42 time: 1.1409 data_time: 0.0293 memory: 32703 grad_norm: 18.7674 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0130 loss: 1.0130 2022/07/30 16:39:08 - mmengine - INFO - Epoch(train) [38][2200/2505] lr: 5.0000e-05 eta: 13:53:20 time: 0.8633 data_time: 0.0331 memory: 32703 grad_norm: 17.6901 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1234 loss: 1.1234 2022/07/30 16:39:29 - mmengine - INFO - Epoch(train) [38][2220/2505] lr: 5.0000e-05 eta: 13:53:01 time: 1.0398 data_time: 0.0287 memory: 32703 grad_norm: 17.8753 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0026 loss: 1.0026 2022/07/30 16:39:48 - mmengine - INFO - Epoch(train) [38][2240/2505] lr: 5.0000e-05 eta: 13:52:41 time: 0.9309 data_time: 0.0288 memory: 32703 grad_norm: 18.8418 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0323 loss: 1.0323 2022/07/30 16:40:08 - mmengine - INFO - Epoch(train) [38][2260/2505] lr: 5.0000e-05 eta: 13:52:21 time: 1.0301 data_time: 0.0278 memory: 32703 grad_norm: 18.5676 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1835 loss: 1.1835 2022/07/30 16:40:27 - mmengine - INFO - Epoch(train) [38][2280/2505] lr: 5.0000e-05 eta: 13:52:01 time: 0.9395 data_time: 0.0291 memory: 32703 grad_norm: 19.0520 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9412 loss: 0.9412 2022/07/30 16:40:48 - mmengine - INFO - Epoch(train) [38][2300/2505] lr: 5.0000e-05 eta: 13:51:41 time: 1.0407 data_time: 0.0288 memory: 32703 grad_norm: 18.9028 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1188 loss: 1.1188 2022/07/30 16:41:04 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 16:41:07 - mmengine - INFO - Epoch(train) [38][2320/2505] lr: 5.0000e-05 eta: 13:51:21 time: 0.9759 data_time: 0.0351 memory: 32703 grad_norm: 18.3755 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1690 loss: 1.1690 2022/07/30 16:41:27 - mmengine - INFO - Epoch(train) [38][2340/2505] lr: 5.0000e-05 eta: 13:51:01 time: 0.9834 data_time: 0.0265 memory: 32703 grad_norm: 17.6696 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3312 loss: 1.3312 2022/07/30 16:41:45 - mmengine - INFO - Epoch(train) [38][2360/2505] lr: 5.0000e-05 eta: 13:50:41 time: 0.9163 data_time: 0.0280 memory: 32703 grad_norm: 18.5236 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8589 loss: 0.8589 2022/07/30 16:42:05 - mmengine - INFO - Epoch(train) [38][2380/2505] lr: 5.0000e-05 eta: 13:50:21 time: 0.9824 data_time: 0.0305 memory: 32703 grad_norm: 18.3714 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9906 loss: 0.9906 2022/07/30 16:42:23 - mmengine - INFO - Epoch(train) [38][2400/2505] lr: 5.0000e-05 eta: 13:50:00 time: 0.9141 data_time: 0.0286 memory: 32703 grad_norm: 19.0447 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0665 loss: 1.0665 2022/07/30 16:42:44 - mmengine - INFO - Epoch(train) [38][2420/2505] lr: 5.0000e-05 eta: 13:49:41 time: 1.0486 data_time: 0.0277 memory: 32703 grad_norm: 18.3878 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7983 loss: 0.7983 2022/07/30 16:43:02 - mmengine - INFO - Epoch(train) [38][2440/2505] lr: 5.0000e-05 eta: 13:49:20 time: 0.9100 data_time: 0.0267 memory: 32703 grad_norm: 18.5129 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1206 loss: 1.1206 2022/07/30 16:43:23 - mmengine - INFO - Epoch(train) [38][2460/2505] lr: 5.0000e-05 eta: 13:49:01 time: 1.0316 data_time: 0.0270 memory: 32703 grad_norm: 18.0557 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0748 loss: 1.0748 2022/07/30 16:43:41 - mmengine - INFO - Epoch(train) [38][2480/2505] lr: 5.0000e-05 eta: 13:48:40 time: 0.8862 data_time: 0.0290 memory: 32703 grad_norm: 18.3267 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0987 loss: 1.0987 2022/07/30 16:43:59 - mmengine - INFO - Epoch(train) [38][2500/2505] lr: 5.0000e-05 eta: 13:48:19 time: 0.9104 data_time: 0.0257 memory: 32703 grad_norm: 18.6761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9338 loss: 0.9338 2022/07/30 16:44:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 16:44:02 - mmengine - INFO - Epoch(train) [38][2505/2505] lr: 5.0000e-05 eta: 13:48:19 time: 0.7726 data_time: 0.0216 memory: 32703 grad_norm: 19.0773 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9247 loss: 0.9247 2022/07/30 16:44:02 - mmengine - INFO - Saving checkpoint at 38 epochs 2022/07/30 16:44:30 - mmengine - INFO - Epoch(train) [39][20/2505] lr: 5.0000e-05 eta: 13:47:55 time: 1.2882 data_time: 0.6933 memory: 32703 grad_norm: 17.6815 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8994 loss: 0.8994 2022/07/30 16:44:48 - mmengine - INFO - Epoch(train) [39][40/2505] lr: 5.0000e-05 eta: 13:47:34 time: 0.9110 data_time: 0.3372 memory: 32703 grad_norm: 19.1013 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9673 loss: 0.9673 2022/07/30 16:45:10 - mmengine - INFO - Epoch(train) [39][60/2505] lr: 5.0000e-05 eta: 13:47:16 time: 1.1039 data_time: 0.4946 memory: 32703 grad_norm: 18.5953 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9696 loss: 0.9696 2022/07/30 16:45:29 - mmengine - INFO - Epoch(train) [39][80/2505] lr: 5.0000e-05 eta: 13:46:55 time: 0.9427 data_time: 0.3692 memory: 32703 grad_norm: 17.8946 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9449 loss: 0.9449 2022/07/30 16:45:50 - mmengine - INFO - Epoch(train) [39][100/2505] lr: 5.0000e-05 eta: 13:46:36 time: 1.0541 data_time: 0.4412 memory: 32703 grad_norm: 18.3181 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0471 loss: 1.0471 2022/07/30 16:46:09 - mmengine - INFO - Epoch(train) [39][120/2505] lr: 5.0000e-05 eta: 13:46:16 time: 0.9427 data_time: 0.3687 memory: 32703 grad_norm: 18.2506 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1868 loss: 1.1868 2022/07/30 16:46:30 - mmengine - INFO - Epoch(train) [39][140/2505] lr: 5.0000e-05 eta: 13:45:56 time: 1.0251 data_time: 0.4204 memory: 32703 grad_norm: 18.5345 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8963 loss: 0.8963 2022/07/30 16:46:48 - mmengine - INFO - Epoch(train) [39][160/2505] lr: 5.0000e-05 eta: 13:45:36 time: 0.9187 data_time: 0.3454 memory: 32703 grad_norm: 18.9476 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0288 loss: 1.0288 2022/07/30 16:47:08 - mmengine - INFO - Epoch(train) [39][180/2505] lr: 5.0000e-05 eta: 13:45:16 time: 0.9999 data_time: 0.3872 memory: 32703 grad_norm: 18.3025 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8821 loss: 0.8821 2022/07/30 16:47:27 - mmengine - INFO - Epoch(train) [39][200/2505] lr: 5.0000e-05 eta: 13:44:55 time: 0.9467 data_time: 0.3406 memory: 32703 grad_norm: 18.8209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1669 loss: 1.1669 2022/07/30 16:47:48 - mmengine - INFO - Epoch(train) [39][220/2505] lr: 5.0000e-05 eta: 13:44:36 time: 1.0354 data_time: 0.4632 memory: 32703 grad_norm: 18.8800 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0976 loss: 1.0976 2022/07/30 16:48:06 - mmengine - INFO - Epoch(train) [39][240/2505] lr: 5.0000e-05 eta: 13:44:16 time: 0.9316 data_time: 0.3345 memory: 32703 grad_norm: 19.3276 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0889 loss: 1.0889 2022/07/30 16:48:28 - mmengine - INFO - Epoch(train) [39][260/2505] lr: 5.0000e-05 eta: 13:43:57 time: 1.0671 data_time: 0.4811 memory: 32703 grad_norm: 18.6175 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9719 loss: 0.9719 2022/07/30 16:48:46 - mmengine - INFO - Epoch(train) [39][280/2505] lr: 5.0000e-05 eta: 13:43:36 time: 0.9370 data_time: 0.3277 memory: 32703 grad_norm: 18.2600 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2238 loss: 1.2238 2022/07/30 16:49:08 - mmengine - INFO - Epoch(train) [39][300/2505] lr: 5.0000e-05 eta: 13:43:17 time: 1.0736 data_time: 0.4611 memory: 32703 grad_norm: 19.0351 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9510 loss: 0.9510 2022/07/30 16:49:25 - mmengine - INFO - Epoch(train) [39][320/2505] lr: 5.0000e-05 eta: 13:42:56 time: 0.8667 data_time: 0.2664 memory: 32703 grad_norm: 19.3554 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.2398 loss: 1.2398 2022/07/30 16:49:46 - mmengine - INFO - Epoch(train) [39][340/2505] lr: 5.0000e-05 eta: 13:42:37 time: 1.0405 data_time: 0.4399 memory: 32703 grad_norm: 18.6252 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8979 loss: 0.8979 2022/07/30 16:50:04 - mmengine - INFO - Epoch(train) [39][360/2505] lr: 5.0000e-05 eta: 13:42:16 time: 0.9042 data_time: 0.3126 memory: 32703 grad_norm: 17.8730 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1227 loss: 1.1227 2022/07/30 16:50:26 - mmengine - INFO - Epoch(train) [39][380/2505] lr: 5.0000e-05 eta: 13:41:57 time: 1.0795 data_time: 0.4812 memory: 32703 grad_norm: 18.0442 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8783 loss: 0.8783 2022/07/30 16:50:44 - mmengine - INFO - Epoch(train) [39][400/2505] lr: 5.0000e-05 eta: 13:41:36 time: 0.9132 data_time: 0.3190 memory: 32703 grad_norm: 19.2569 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.0722 loss: 1.0722 2022/07/30 16:51:06 - mmengine - INFO - Epoch(train) [39][420/2505] lr: 5.0000e-05 eta: 13:41:17 time: 1.0822 data_time: 0.5045 memory: 32703 grad_norm: 19.1065 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0837 loss: 1.0837 2022/07/30 16:51:24 - mmengine - INFO - Epoch(train) [39][440/2505] lr: 5.0000e-05 eta: 13:40:57 time: 0.9030 data_time: 0.2950 memory: 32703 grad_norm: 18.4934 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0296 loss: 1.0296 2022/07/30 16:51:44 - mmengine - INFO - Epoch(train) [39][460/2505] lr: 5.0000e-05 eta: 13:40:37 time: 1.0322 data_time: 0.4246 memory: 32703 grad_norm: 18.2714 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8124 loss: 0.8124 2022/07/30 16:52:01 - mmengine - INFO - Epoch(train) [39][480/2505] lr: 5.0000e-05 eta: 13:40:16 time: 0.8351 data_time: 0.2641 memory: 32703 grad_norm: 19.2088 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9711 loss: 0.9711 2022/07/30 16:52:24 - mmengine - INFO - Epoch(train) [39][500/2505] lr: 5.0000e-05 eta: 13:39:57 time: 1.1257 data_time: 0.5099 memory: 32703 grad_norm: 18.8091 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0309 loss: 1.0309 2022/07/30 16:52:40 - mmengine - INFO - Epoch(train) [39][520/2505] lr: 5.0000e-05 eta: 13:39:36 time: 0.8412 data_time: 0.2741 memory: 32703 grad_norm: 19.0476 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3107 loss: 1.3107 2022/07/30 16:53:02 - mmengine - INFO - Epoch(train) [39][540/2505] lr: 5.0000e-05 eta: 13:39:17 time: 1.0713 data_time: 0.4714 memory: 32703 grad_norm: 18.6747 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9174 loss: 0.9174 2022/07/30 16:53:20 - mmengine - INFO - Epoch(train) [39][560/2505] lr: 5.0000e-05 eta: 13:38:56 time: 0.8834 data_time: 0.2847 memory: 32703 grad_norm: 18.3489 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9464 loss: 0.9464 2022/07/30 16:53:40 - mmengine - INFO - Epoch(train) [39][580/2505] lr: 5.0000e-05 eta: 13:38:37 time: 1.0401 data_time: 0.4463 memory: 32703 grad_norm: 18.0949 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0404 loss: 1.0404 2022/07/30 16:53:58 - mmengine - INFO - Epoch(train) [39][600/2505] lr: 5.0000e-05 eta: 13:38:16 time: 0.8899 data_time: 0.3066 memory: 32703 grad_norm: 18.4324 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.0263 loss: 1.0263 2022/07/30 16:54:20 - mmengine - INFO - Epoch(train) [39][620/2505] lr: 5.0000e-05 eta: 13:37:57 time: 1.0885 data_time: 0.4870 memory: 32703 grad_norm: 18.2918 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9126 loss: 0.9126 2022/07/30 16:54:38 - mmengine - INFO - Epoch(train) [39][640/2505] lr: 5.0000e-05 eta: 13:37:36 time: 0.8886 data_time: 0.3053 memory: 32703 grad_norm: 18.1266 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9046 loss: 0.9046 2022/07/30 16:54:59 - mmengine - INFO - Epoch(train) [39][660/2505] lr: 5.0000e-05 eta: 13:37:17 time: 1.0483 data_time: 0.4626 memory: 32703 grad_norm: 19.8858 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9684 loss: 0.9684 2022/07/30 16:55:17 - mmengine - INFO - Epoch(train) [39][680/2505] lr: 5.0000e-05 eta: 13:36:56 time: 0.9176 data_time: 0.3253 memory: 32703 grad_norm: 18.8494 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1645 loss: 1.1645 2022/07/30 16:55:38 - mmengine - INFO - Epoch(train) [39][700/2505] lr: 5.0000e-05 eta: 13:36:37 time: 1.0539 data_time: 0.4766 memory: 32703 grad_norm: 18.4482 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9890 loss: 0.9890 2022/07/30 16:55:57 - mmengine - INFO - Epoch(train) [39][720/2505] lr: 5.0000e-05 eta: 13:36:17 time: 0.9616 data_time: 0.3773 memory: 32703 grad_norm: 18.0773 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1623 loss: 1.1623 2022/07/30 16:56:19 - mmengine - INFO - Epoch(train) [39][740/2505] lr: 5.0000e-05 eta: 13:35:58 time: 1.0814 data_time: 0.4938 memory: 32703 grad_norm: 17.8351 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0316 loss: 1.0316 2022/07/30 16:56:38 - mmengine - INFO - Epoch(train) [39][760/2505] lr: 5.0000e-05 eta: 13:35:37 time: 0.9310 data_time: 0.3628 memory: 32703 grad_norm: 18.0349 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0165 loss: 1.0165 2022/07/30 16:56:59 - mmengine - INFO - Epoch(train) [39][780/2505] lr: 5.0000e-05 eta: 13:35:18 time: 1.0497 data_time: 0.4563 memory: 32703 grad_norm: 19.0228 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8681 loss: 0.8681 2022/07/30 16:57:17 - mmengine - INFO - Epoch(train) [39][800/2505] lr: 5.0000e-05 eta: 13:34:57 time: 0.8961 data_time: 0.3029 memory: 32703 grad_norm: 18.9882 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1800 loss: 1.1800 2022/07/30 16:57:27 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 16:57:38 - mmengine - INFO - Epoch(train) [39][820/2505] lr: 5.0000e-05 eta: 13:34:38 time: 1.0507 data_time: 0.4569 memory: 32703 grad_norm: 18.4837 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0763 loss: 1.0763 2022/07/30 16:57:56 - mmengine - INFO - Epoch(train) [39][840/2505] lr: 5.0000e-05 eta: 13:34:17 time: 0.8943 data_time: 0.2946 memory: 32703 grad_norm: 18.5396 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0493 loss: 1.0493 2022/07/30 16:58:16 - mmengine - INFO - Epoch(train) [39][860/2505] lr: 5.0000e-05 eta: 13:33:58 time: 1.0070 data_time: 0.4372 memory: 32703 grad_norm: 18.3081 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9812 loss: 0.9812 2022/07/30 16:58:34 - mmengine - INFO - Epoch(train) [39][880/2505] lr: 5.0000e-05 eta: 13:33:37 time: 0.9139 data_time: 0.3163 memory: 32703 grad_norm: 18.5574 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2781 loss: 1.2781 2022/07/30 16:58:55 - mmengine - INFO - Epoch(train) [39][900/2505] lr: 5.0000e-05 eta: 13:33:18 time: 1.0531 data_time: 0.4662 memory: 32703 grad_norm: 18.2649 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0988 loss: 1.0988 2022/07/30 16:59:13 - mmengine - INFO - Epoch(train) [39][920/2505] lr: 5.0000e-05 eta: 13:32:57 time: 0.9013 data_time: 0.3358 memory: 32703 grad_norm: 18.9102 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9416 loss: 0.9416 2022/07/30 16:59:34 - mmengine - INFO - Epoch(train) [39][940/2505] lr: 5.0000e-05 eta: 13:32:38 time: 1.0585 data_time: 0.4679 memory: 32703 grad_norm: 18.6109 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8399 loss: 0.8399 2022/07/30 16:59:52 - mmengine - INFO - Epoch(train) [39][960/2505] lr: 5.0000e-05 eta: 13:32:17 time: 0.9150 data_time: 0.3258 memory: 32703 grad_norm: 18.8047 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0673 loss: 1.0673 2022/07/30 17:00:15 - mmengine - INFO - Epoch(train) [39][980/2505] lr: 5.0000e-05 eta: 13:31:59 time: 1.1080 data_time: 0.5107 memory: 32703 grad_norm: 18.2654 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.8566 loss: 0.8566 2022/07/30 17:00:32 - mmengine - INFO - Epoch(train) [39][1000/2505] lr: 5.0000e-05 eta: 13:31:38 time: 0.8875 data_time: 0.2833 memory: 32703 grad_norm: 17.8458 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9123 loss: 0.9123 2022/07/30 17:00:53 - mmengine - INFO - Epoch(train) [39][1020/2505] lr: 5.0000e-05 eta: 13:31:18 time: 1.0410 data_time: 0.4321 memory: 32703 grad_norm: 17.9763 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1562 loss: 1.1562 2022/07/30 17:01:11 - mmengine - INFO - Epoch(train) [39][1040/2505] lr: 5.0000e-05 eta: 13:30:57 time: 0.8729 data_time: 0.2982 memory: 32703 grad_norm: 18.8485 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0860 loss: 1.0860 2022/07/30 17:01:31 - mmengine - INFO - Epoch(train) [39][1060/2505] lr: 5.0000e-05 eta: 13:30:38 time: 1.0243 data_time: 0.4253 memory: 32703 grad_norm: 19.0597 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0472 loss: 1.0472 2022/07/30 17:01:50 - mmengine - INFO - Epoch(train) [39][1080/2505] lr: 5.0000e-05 eta: 13:30:17 time: 0.9453 data_time: 0.3409 memory: 32703 grad_norm: 18.7475 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0953 loss: 1.0953 2022/07/30 17:02:11 - mmengine - INFO - Epoch(train) [39][1100/2505] lr: 5.0000e-05 eta: 13:29:58 time: 1.0268 data_time: 0.4202 memory: 32703 grad_norm: 19.1159 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1598 loss: 1.1598 2022/07/30 17:02:29 - mmengine - INFO - Epoch(train) [39][1120/2505] lr: 5.0000e-05 eta: 13:29:37 time: 0.9119 data_time: 0.3164 memory: 32703 grad_norm: 18.3326 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9344 loss: 0.9344 2022/07/30 17:02:48 - mmengine - INFO - Epoch(train) [39][1140/2505] lr: 5.0000e-05 eta: 13:29:17 time: 0.9766 data_time: 0.3883 memory: 32703 grad_norm: 18.5911 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0167 loss: 1.0167 2022/07/30 17:03:07 - mmengine - INFO - Epoch(train) [39][1160/2505] lr: 5.0000e-05 eta: 13:28:57 time: 0.9511 data_time: 0.3745 memory: 32703 grad_norm: 18.6056 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2002 loss: 1.2002 2022/07/30 17:03:28 - mmengine - INFO - Epoch(train) [39][1180/2505] lr: 5.0000e-05 eta: 13:28:38 time: 1.0486 data_time: 0.4740 memory: 32703 grad_norm: 17.9993 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9331 loss: 0.9331 2022/07/30 17:03:47 - mmengine - INFO - Epoch(train) [39][1200/2505] lr: 5.0000e-05 eta: 13:28:17 time: 0.9311 data_time: 0.3503 memory: 32703 grad_norm: 19.2558 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1195 loss: 1.1195 2022/07/30 17:04:08 - mmengine - INFO - Epoch(train) [39][1220/2505] lr: 5.0000e-05 eta: 13:27:58 time: 1.0729 data_time: 0.4727 memory: 32703 grad_norm: 20.3526 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.2487 loss: 1.2487 2022/07/30 17:04:26 - mmengine - INFO - Epoch(train) [39][1240/2505] lr: 5.0000e-05 eta: 13:27:38 time: 0.8964 data_time: 0.3013 memory: 32703 grad_norm: 18.5862 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1354 loss: 1.1354 2022/07/30 17:04:47 - mmengine - INFO - Epoch(train) [39][1260/2505] lr: 5.0000e-05 eta: 13:27:18 time: 1.0333 data_time: 0.4296 memory: 32703 grad_norm: 17.4364 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0553 loss: 1.0553 2022/07/30 17:05:06 - mmengine - INFO - Epoch(train) [39][1280/2505] lr: 5.0000e-05 eta: 13:26:58 time: 0.9207 data_time: 0.2394 memory: 32703 grad_norm: 18.0478 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9751 loss: 0.9751 2022/07/30 17:05:27 - mmengine - INFO - Epoch(train) [39][1300/2505] lr: 5.0000e-05 eta: 13:26:39 time: 1.0697 data_time: 0.4275 memory: 32703 grad_norm: 18.7973 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1389 loss: 1.1389 2022/07/30 17:05:45 - mmengine - INFO - Epoch(train) [39][1320/2505] lr: 5.0000e-05 eta: 13:26:18 time: 0.9103 data_time: 0.2579 memory: 32703 grad_norm: 18.8107 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0377 loss: 1.0377 2022/07/30 17:06:07 - mmengine - INFO - Epoch(train) [39][1340/2505] lr: 5.0000e-05 eta: 13:25:59 time: 1.0820 data_time: 0.4453 memory: 32703 grad_norm: 18.3784 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0799 loss: 1.0799 2022/07/30 17:06:24 - mmengine - INFO - Epoch(train) [39][1360/2505] lr: 5.0000e-05 eta: 13:25:38 time: 0.8670 data_time: 0.2971 memory: 32703 grad_norm: 17.5990 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8695 loss: 0.8695 2022/07/30 17:06:47 - mmengine - INFO - Epoch(train) [39][1380/2505] lr: 5.0000e-05 eta: 13:25:20 time: 1.1527 data_time: 0.5459 memory: 32703 grad_norm: 19.0244 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1132 loss: 1.1132 2022/07/30 17:07:04 - mmengine - INFO - Epoch(train) [39][1400/2505] lr: 5.0000e-05 eta: 13:24:58 time: 0.8429 data_time: 0.2582 memory: 32703 grad_norm: 18.9401 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1913 loss: 1.1913 2022/07/30 17:07:27 - mmengine - INFO - Epoch(train) [39][1420/2505] lr: 5.0000e-05 eta: 13:24:40 time: 1.1267 data_time: 0.5078 memory: 32703 grad_norm: 18.9753 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8731 loss: 0.8731 2022/07/30 17:07:44 - mmengine - INFO - Epoch(train) [39][1440/2505] lr: 5.0000e-05 eta: 13:24:19 time: 0.8685 data_time: 0.2838 memory: 32703 grad_norm: 17.5148 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9350 loss: 0.9350 2022/07/30 17:08:06 - mmengine - INFO - Epoch(train) [39][1460/2505] lr: 5.0000e-05 eta: 13:24:00 time: 1.1205 data_time: 0.5053 memory: 32703 grad_norm: 17.9453 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9613 loss: 0.9613 2022/07/30 17:08:23 - mmengine - INFO - Epoch(train) [39][1480/2505] lr: 5.0000e-05 eta: 13:23:39 time: 0.8072 data_time: 0.2368 memory: 32703 grad_norm: 19.7384 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9803 loss: 0.9803 2022/07/30 17:08:44 - mmengine - INFO - Epoch(train) [39][1500/2505] lr: 5.0000e-05 eta: 13:23:19 time: 1.0544 data_time: 0.4469 memory: 32703 grad_norm: 18.9863 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0189 loss: 1.0189 2022/07/30 17:09:02 - mmengine - INFO - Epoch(train) [39][1520/2505] lr: 5.0000e-05 eta: 13:22:59 time: 0.9081 data_time: 0.3354 memory: 32703 grad_norm: 17.8824 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0078 loss: 1.0078 2022/07/30 17:09:23 - mmengine - INFO - Epoch(train) [39][1540/2505] lr: 5.0000e-05 eta: 13:22:39 time: 1.0298 data_time: 0.4221 memory: 32703 grad_norm: 18.5059 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0150 loss: 1.0150 2022/07/30 17:09:40 - mmengine - INFO - Epoch(train) [39][1560/2505] lr: 5.0000e-05 eta: 13:22:18 time: 0.8751 data_time: 0.2743 memory: 32703 grad_norm: 17.6914 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0545 loss: 1.0545 2022/07/30 17:10:01 - mmengine - INFO - Epoch(train) [39][1580/2505] lr: 5.0000e-05 eta: 13:21:59 time: 1.0341 data_time: 0.4252 memory: 32703 grad_norm: 18.4296 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8912 loss: 0.8912 2022/07/30 17:10:19 - mmengine - INFO - Epoch(train) [39][1600/2505] lr: 5.0000e-05 eta: 13:21:38 time: 0.9407 data_time: 0.3644 memory: 32703 grad_norm: 18.1945 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1245 loss: 1.1245 2022/07/30 17:10:40 - mmengine - INFO - Epoch(train) [39][1620/2505] lr: 5.0000e-05 eta: 13:21:19 time: 1.0237 data_time: 0.4472 memory: 32703 grad_norm: 18.4790 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9752 loss: 0.9752 2022/07/30 17:10:58 - mmengine - INFO - Epoch(train) [39][1640/2505] lr: 5.0000e-05 eta: 13:20:58 time: 0.9204 data_time: 0.3100 memory: 32703 grad_norm: 19.4005 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1091 loss: 1.1091 2022/07/30 17:11:18 - mmengine - INFO - Epoch(train) [39][1660/2505] lr: 5.0000e-05 eta: 13:20:39 time: 1.0076 data_time: 0.4026 memory: 32703 grad_norm: 18.4775 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9826 loss: 0.9826 2022/07/30 17:11:38 - mmengine - INFO - Epoch(train) [39][1680/2505] lr: 5.0000e-05 eta: 13:20:19 time: 0.9584 data_time: 0.2591 memory: 32703 grad_norm: 18.6512 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0193 loss: 1.0193 2022/07/30 17:11:58 - mmengine - INFO - Epoch(train) [39][1700/2505] lr: 5.0000e-05 eta: 13:19:59 time: 1.0034 data_time: 0.3570 memory: 32703 grad_norm: 18.2204 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1004 loss: 1.1004 2022/07/30 17:12:17 - mmengine - INFO - Epoch(train) [39][1720/2505] lr: 5.0000e-05 eta: 13:19:39 time: 0.9498 data_time: 0.2533 memory: 32703 grad_norm: 18.5900 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0769 loss: 1.0769 2022/07/30 17:12:38 - mmengine - INFO - Epoch(train) [39][1740/2505] lr: 5.0000e-05 eta: 13:19:19 time: 1.0428 data_time: 0.2227 memory: 32703 grad_norm: 18.1444 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1256 loss: 1.1256 2022/07/30 17:12:56 - mmengine - INFO - Epoch(train) [39][1760/2505] lr: 5.0000e-05 eta: 13:18:59 time: 0.9278 data_time: 0.1178 memory: 32703 grad_norm: 19.1414 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2385 loss: 1.2385 2022/07/30 17:13:17 - mmengine - INFO - Epoch(train) [39][1780/2505] lr: 5.0000e-05 eta: 13:18:40 time: 1.0527 data_time: 0.1090 memory: 32703 grad_norm: 17.7790 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9985 loss: 0.9985 2022/07/30 17:13:38 - mmengine - INFO - Epoch(train) [39][1800/2505] lr: 5.0000e-05 eta: 13:18:20 time: 1.0352 data_time: 0.0576 memory: 32703 grad_norm: 18.9150 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3786 loss: 1.3786 2022/07/30 17:13:46 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 17:13:56 - mmengine - INFO - Epoch(train) [39][1820/2505] lr: 5.0000e-05 eta: 13:17:59 time: 0.8800 data_time: 0.0643 memory: 32703 grad_norm: 18.0262 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1523 loss: 1.1523 2022/07/30 17:14:17 - mmengine - INFO - Epoch(train) [39][1840/2505] lr: 5.0000e-05 eta: 13:17:40 time: 1.0508 data_time: 0.0483 memory: 32703 grad_norm: 18.7607 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9409 loss: 0.9409 2022/07/30 17:14:34 - mmengine - INFO - Epoch(train) [39][1860/2505] lr: 5.0000e-05 eta: 13:17:19 time: 0.8904 data_time: 0.0298 memory: 32703 grad_norm: 19.1083 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8501 loss: 0.8501 2022/07/30 17:14:56 - mmengine - INFO - Epoch(train) [39][1880/2505] lr: 5.0000e-05 eta: 13:17:00 time: 1.0981 data_time: 0.0393 memory: 32703 grad_norm: 17.9634 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0516 loss: 1.0516 2022/07/30 17:15:14 - mmengine - INFO - Epoch(train) [39][1900/2505] lr: 5.0000e-05 eta: 13:16:40 time: 0.8941 data_time: 0.0664 memory: 32703 grad_norm: 18.2727 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0005 loss: 1.0005 2022/07/30 17:15:35 - mmengine - INFO - Epoch(train) [39][1920/2505] lr: 5.0000e-05 eta: 13:16:20 time: 1.0329 data_time: 0.0389 memory: 32703 grad_norm: 18.6928 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9775 loss: 0.9775 2022/07/30 17:15:53 - mmengine - INFO - Epoch(train) [39][1940/2505] lr: 5.0000e-05 eta: 13:16:00 time: 0.9180 data_time: 0.0738 memory: 32703 grad_norm: 18.8622 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9684 loss: 0.9684 2022/07/30 17:16:14 - mmengine - INFO - Epoch(train) [39][1960/2505] lr: 5.0000e-05 eta: 13:15:40 time: 1.0205 data_time: 0.0324 memory: 32703 grad_norm: 18.6015 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2271 loss: 1.2271 2022/07/30 17:16:32 - mmengine - INFO - Epoch(train) [39][1980/2505] lr: 5.0000e-05 eta: 13:15:20 time: 0.9378 data_time: 0.0508 memory: 32703 grad_norm: 18.1683 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0778 loss: 1.0778 2022/07/30 17:16:52 - mmengine - INFO - Epoch(train) [39][2000/2505] lr: 5.0000e-05 eta: 13:15:00 time: 0.9771 data_time: 0.0277 memory: 32703 grad_norm: 18.8721 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1182 loss: 1.1182 2022/07/30 17:17:13 - mmengine - INFO - Epoch(train) [39][2020/2505] lr: 5.0000e-05 eta: 13:14:40 time: 1.0240 data_time: 0.1385 memory: 32703 grad_norm: 18.3442 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8469 loss: 0.8469 2022/07/30 17:17:31 - mmengine - INFO - Epoch(train) [39][2040/2505] lr: 5.0000e-05 eta: 13:14:20 time: 0.9155 data_time: 0.1600 memory: 32703 grad_norm: 17.9486 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2525 loss: 1.2525 2022/07/30 17:17:51 - mmengine - INFO - Epoch(train) [39][2060/2505] lr: 5.0000e-05 eta: 13:14:00 time: 0.9872 data_time: 0.1537 memory: 32703 grad_norm: 18.3497 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0962 loss: 1.0962 2022/07/30 17:18:10 - mmengine - INFO - Epoch(train) [39][2080/2505] lr: 5.0000e-05 eta: 13:13:40 time: 0.9877 data_time: 0.0265 memory: 32703 grad_norm: 17.1547 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0295 loss: 1.0295 2022/07/30 17:18:30 - mmengine - INFO - Epoch(train) [39][2100/2505] lr: 5.0000e-05 eta: 13:13:20 time: 0.9874 data_time: 0.0640 memory: 32703 grad_norm: 17.8438 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1878 loss: 1.1878 2022/07/30 17:18:49 - mmengine - INFO - Epoch(train) [39][2120/2505] lr: 5.0000e-05 eta: 13:13:00 time: 0.9473 data_time: 0.0265 memory: 32703 grad_norm: 17.9911 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0819 loss: 1.0819 2022/07/30 17:19:10 - mmengine - INFO - Epoch(train) [39][2140/2505] lr: 5.0000e-05 eta: 13:12:41 time: 1.0614 data_time: 0.0289 memory: 32703 grad_norm: 18.4645 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0181 loss: 1.0181 2022/07/30 17:19:30 - mmengine - INFO - Epoch(train) [39][2160/2505] lr: 5.0000e-05 eta: 13:12:20 time: 0.9694 data_time: 0.0290 memory: 32703 grad_norm: 18.7496 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0397 loss: 1.0397 2022/07/30 17:19:48 - mmengine - INFO - Epoch(train) [39][2180/2505] lr: 5.0000e-05 eta: 13:12:00 time: 0.9427 data_time: 0.0331 memory: 32703 grad_norm: 18.6302 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3073 loss: 1.3073 2022/07/30 17:20:08 - mmengine - INFO - Epoch(train) [39][2200/2505] lr: 5.0000e-05 eta: 13:11:40 time: 0.9931 data_time: 0.0270 memory: 32703 grad_norm: 18.2437 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1899 loss: 1.1899 2022/07/30 17:20:29 - mmengine - INFO - Epoch(train) [39][2220/2505] lr: 5.0000e-05 eta: 13:11:21 time: 1.0129 data_time: 0.0474 memory: 32703 grad_norm: 17.4924 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8776 loss: 0.8776 2022/07/30 17:20:49 - mmengine - INFO - Epoch(train) [39][2240/2505] lr: 5.0000e-05 eta: 13:11:01 time: 1.0027 data_time: 0.0277 memory: 32703 grad_norm: 18.3766 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9882 loss: 0.9882 2022/07/30 17:21:08 - mmengine - INFO - Epoch(train) [39][2260/2505] lr: 5.0000e-05 eta: 13:10:41 time: 0.9754 data_time: 0.0301 memory: 32703 grad_norm: 19.1314 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0920 loss: 1.0920 2022/07/30 17:21:27 - mmengine - INFO - Epoch(train) [39][2280/2505] lr: 5.0000e-05 eta: 13:10:21 time: 0.9628 data_time: 0.0447 memory: 32703 grad_norm: 18.4716 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9392 loss: 0.9392 2022/07/30 17:21:48 - mmengine - INFO - Epoch(train) [39][2300/2505] lr: 5.0000e-05 eta: 13:10:01 time: 1.0053 data_time: 0.0558 memory: 32703 grad_norm: 19.0233 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9780 loss: 0.9780 2022/07/30 17:22:05 - mmengine - INFO - Epoch(train) [39][2320/2505] lr: 5.0000e-05 eta: 13:09:40 time: 0.8732 data_time: 0.0465 memory: 32703 grad_norm: 18.6026 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.0801 loss: 1.0801 2022/07/30 17:22:27 - mmengine - INFO - Epoch(train) [39][2340/2505] lr: 5.0000e-05 eta: 13:09:21 time: 1.0984 data_time: 0.0288 memory: 32703 grad_norm: 18.3637 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0632 loss: 1.0632 2022/07/30 17:22:44 - mmengine - INFO - Epoch(train) [39][2360/2505] lr: 5.0000e-05 eta: 13:09:00 time: 0.8503 data_time: 0.0274 memory: 32703 grad_norm: 18.7578 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2003 loss: 1.2003 2022/07/30 17:23:05 - mmengine - INFO - Epoch(train) [39][2380/2505] lr: 5.0000e-05 eta: 13:08:41 time: 1.0494 data_time: 0.0399 memory: 32703 grad_norm: 18.7127 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9687 loss: 0.9687 2022/07/30 17:23:24 - mmengine - INFO - Epoch(train) [39][2400/2505] lr: 5.0000e-05 eta: 13:08:20 time: 0.9209 data_time: 0.0307 memory: 32703 grad_norm: 19.4286 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0349 loss: 1.0349 2022/07/30 17:23:44 - mmengine - INFO - Epoch(train) [39][2420/2505] lr: 5.0000e-05 eta: 13:08:01 time: 1.0103 data_time: 0.0340 memory: 32703 grad_norm: 18.9752 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1735 loss: 1.1735 2022/07/30 17:24:03 - mmengine - INFO - Epoch(train) [39][2440/2505] lr: 5.0000e-05 eta: 13:07:40 time: 0.9463 data_time: 0.0306 memory: 32703 grad_norm: 18.3070 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9120 loss: 0.9120 2022/07/30 17:24:23 - mmengine - INFO - Epoch(train) [39][2460/2505] lr: 5.0000e-05 eta: 13:07:21 time: 1.0389 data_time: 0.0345 memory: 32703 grad_norm: 17.8036 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3273 loss: 1.3273 2022/07/30 17:24:43 - mmengine - INFO - Epoch(train) [39][2480/2505] lr: 5.0000e-05 eta: 13:07:01 time: 0.9679 data_time: 0.0276 memory: 32703 grad_norm: 18.1563 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1392 loss: 1.1392 2022/07/30 17:25:00 - mmengine - INFO - Epoch(train) [39][2500/2505] lr: 5.0000e-05 eta: 13:06:40 time: 0.8535 data_time: 0.0292 memory: 32703 grad_norm: 18.3243 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3071 loss: 1.3071 2022/07/30 17:25:03 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 17:25:03 - mmengine - INFO - Epoch(train) [39][2505/2505] lr: 5.0000e-05 eta: 13:06:40 time: 0.7581 data_time: 0.0199 memory: 32703 grad_norm: 18.3017 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0964 loss: 1.0964 2022/07/30 17:25:05 - mmengine - INFO - Epoch(val) [39][20/2475] eta: 0:04:42 time: 0.1150 data_time: 0.0824 memory: 817 2022/07/30 17:25:07 - mmengine - INFO - Epoch(val) [39][40/2475] eta: 0:03:15 time: 0.0801 data_time: 0.0479 memory: 817 2022/07/30 17:25:08 - mmengine - INFO - Epoch(val) [39][60/2475] eta: 0:03:48 time: 0.0945 data_time: 0.0624 memory: 817 2022/07/30 17:25:10 - mmengine - INFO - Epoch(val) [39][80/2475] eta: 0:02:41 time: 0.0676 data_time: 0.0361 memory: 817 2022/07/30 17:25:11 - mmengine - INFO - Epoch(val) [39][100/2475] eta: 0:03:22 time: 0.0853 data_time: 0.0546 memory: 817 2022/07/30 17:25:13 - mmengine - INFO - Epoch(val) [39][120/2475] eta: 0:02:48 time: 0.0714 data_time: 0.0406 memory: 817 2022/07/30 17:25:15 - mmengine - INFO - Epoch(val) [39][140/2475] eta: 0:03:24 time: 0.0874 data_time: 0.0567 memory: 817 2022/07/30 17:25:16 - mmengine - INFO - Epoch(val) [39][160/2475] eta: 0:02:54 time: 0.0754 data_time: 0.0436 memory: 817 2022/07/30 17:25:18 - mmengine - INFO - Epoch(val) [39][180/2475] eta: 0:03:09 time: 0.0825 data_time: 0.0508 memory: 817 2022/07/30 17:25:19 - mmengine - INFO - Epoch(val) [39][200/2475] eta: 0:02:45 time: 0.0726 data_time: 0.0418 memory: 817 2022/07/30 17:25:21 - mmengine - INFO - Epoch(val) [39][220/2475] eta: 0:03:01 time: 0.0803 data_time: 0.0478 memory: 817 2022/07/30 17:25:23 - mmengine - INFO - Epoch(val) [39][240/2475] eta: 0:03:02 time: 0.0815 data_time: 0.0512 memory: 817 2022/07/30 17:25:24 - mmengine - INFO - Epoch(val) [39][260/2475] eta: 0:02:57 time: 0.0802 data_time: 0.0497 memory: 817 2022/07/30 17:25:26 - mmengine - INFO - Epoch(val) [39][280/2475] eta: 0:02:52 time: 0.0787 data_time: 0.0473 memory: 817 2022/07/30 17:25:27 - mmengine - INFO - Epoch(val) [39][300/2475] eta: 0:03:02 time: 0.0840 data_time: 0.0512 memory: 817 2022/07/30 17:25:29 - mmengine - INFO - Epoch(val) [39][320/2475] eta: 0:02:27 time: 0.0686 data_time: 0.0365 memory: 817 2022/07/30 17:25:30 - mmengine - INFO - Epoch(val) [39][340/2475] eta: 0:03:00 time: 0.0847 data_time: 0.0519 memory: 817 2022/07/30 17:25:32 - mmengine - INFO - Epoch(val) [39][360/2475] eta: 0:02:19 time: 0.0658 data_time: 0.0351 memory: 817 2022/07/30 17:25:33 - mmengine - INFO - Epoch(val) [39][380/2475] eta: 0:02:49 time: 0.0810 data_time: 0.0486 memory: 817 2022/07/30 17:25:35 - mmengine - INFO - Epoch(val) [39][400/2475] eta: 0:02:45 time: 0.0795 data_time: 0.0486 memory: 817 2022/07/30 17:25:37 - mmengine - INFO - Epoch(val) [39][420/2475] eta: 0:02:46 time: 0.0810 data_time: 0.0446 memory: 817 2022/07/30 17:25:38 - mmengine - INFO - Epoch(val) [39][440/2475] eta: 0:02:47 time: 0.0824 data_time: 0.0518 memory: 817 2022/07/30 17:25:40 - mmengine - INFO - Epoch(val) [39][460/2475] eta: 0:02:32 time: 0.0758 data_time: 0.0452 memory: 817 2022/07/30 17:25:42 - mmengine - INFO - Epoch(val) [39][480/2475] eta: 0:03:02 time: 0.0916 data_time: 0.0584 memory: 817 2022/07/30 17:25:43 - mmengine - INFO - Epoch(val) [39][500/2475] eta: 0:02:43 time: 0.0829 data_time: 0.0507 memory: 817 2022/07/30 17:25:45 - mmengine - INFO - Epoch(val) [39][520/2475] eta: 0:02:26 time: 0.0750 data_time: 0.0443 memory: 817 2022/07/30 17:25:47 - mmengine - INFO - Epoch(val) [39][540/2475] eta: 0:02:52 time: 0.0889 data_time: 0.0573 memory: 817 2022/07/30 17:25:48 - mmengine - INFO - Epoch(val) [39][560/2475] eta: 0:02:11 time: 0.0686 data_time: 0.0369 memory: 817 2022/07/30 17:25:50 - mmengine - INFO - Epoch(val) [39][580/2475] eta: 0:02:41 time: 0.0855 data_time: 0.0541 memory: 817 2022/07/30 17:25:51 - mmengine - INFO - Epoch(val) [39][600/2475] eta: 0:02:39 time: 0.0851 data_time: 0.0533 memory: 817 2022/07/30 17:25:53 - mmengine - INFO - Epoch(val) [39][620/2475] eta: 0:02:33 time: 0.0825 data_time: 0.0504 memory: 817 2022/07/30 17:25:55 - mmengine - INFO - Epoch(val) [39][640/2475] eta: 0:02:20 time: 0.0765 data_time: 0.0462 memory: 817 2022/07/30 17:25:57 - mmengine - INFO - Epoch(val) [39][660/2475] eta: 0:03:12 time: 0.1062 data_time: 0.0657 memory: 817 2022/07/30 17:25:58 - mmengine - INFO - Epoch(val) [39][680/2475] eta: 0:02:00 time: 0.0673 data_time: 0.0345 memory: 817 2022/07/30 17:26:00 - mmengine - INFO - Epoch(val) [39][700/2475] eta: 0:02:19 time: 0.0787 data_time: 0.0446 memory: 817 2022/07/30 17:26:01 - mmengine - INFO - Epoch(val) [39][720/2475] eta: 0:02:24 time: 0.0826 data_time: 0.0512 memory: 817 2022/07/30 17:26:03 - mmengine - INFO - Epoch(val) [39][740/2475] eta: 0:02:22 time: 0.0819 data_time: 0.0502 memory: 817 2022/07/30 17:26:05 - mmengine - INFO - Epoch(val) [39][760/2475] eta: 0:02:20 time: 0.0817 data_time: 0.0501 memory: 817 2022/07/30 17:26:06 - mmengine - INFO - Epoch(val) [39][780/2475] eta: 0:02:09 time: 0.0767 data_time: 0.0421 memory: 817 2022/07/30 17:26:07 - mmengine - INFO - Epoch(val) [39][800/2475] eta: 0:01:53 time: 0.0678 data_time: 0.0365 memory: 817 2022/07/30 17:26:09 - mmengine - INFO - Epoch(val) [39][820/2475] eta: 0:02:10 time: 0.0789 data_time: 0.0486 memory: 817 2022/07/30 17:26:11 - mmengine - INFO - Epoch(val) [39][840/2475] eta: 0:02:01 time: 0.0744 data_time: 0.0431 memory: 817 2022/07/30 17:26:12 - mmengine - INFO - Epoch(val) [39][860/2475] eta: 0:01:55 time: 0.0718 data_time: 0.0413 memory: 817 2022/07/30 17:26:14 - mmengine - INFO - Epoch(val) [39][880/2475] eta: 0:02:14 time: 0.0845 data_time: 0.0536 memory: 817 2022/07/30 17:26:15 - mmengine - INFO - Epoch(val) [39][900/2475] eta: 0:02:00 time: 0.0764 data_time: 0.0440 memory: 817 2022/07/30 17:26:17 - mmengine - INFO - Epoch(val) [39][920/2475] eta: 0:02:09 time: 0.0832 data_time: 0.0465 memory: 817 2022/07/30 17:26:18 - mmengine - INFO - Epoch(val) [39][940/2475] eta: 0:01:49 time: 0.0711 data_time: 0.0399 memory: 817 2022/07/30 17:26:20 - mmengine - INFO - Epoch(val) [39][960/2475] eta: 0:02:32 time: 0.1005 data_time: 0.0693 memory: 817 2022/07/30 17:26:22 - mmengine - INFO - Epoch(val) [39][980/2475] eta: 0:01:48 time: 0.0724 data_time: 0.0424 memory: 817 2022/07/30 17:26:23 - mmengine - INFO - Epoch(val) [39][1000/2475] eta: 0:02:09 time: 0.0877 data_time: 0.0550 memory: 817 2022/07/30 17:26:25 - mmengine - INFO - Epoch(val) [39][1020/2475] eta: 0:01:52 time: 0.0775 data_time: 0.0467 memory: 817 2022/07/30 17:26:27 - mmengine - INFO - Epoch(val) [39][1040/2475] eta: 0:01:46 time: 0.0740 data_time: 0.0411 memory: 817 2022/07/30 17:26:28 - mmengine - INFO - Epoch(val) [39][1060/2475] eta: 0:01:48 time: 0.0769 data_time: 0.0452 memory: 817 2022/07/30 17:26:29 - mmengine - INFO - Epoch(val) [39][1080/2475] eta: 0:01:37 time: 0.0699 data_time: 0.0360 memory: 817 2022/07/30 17:26:31 - mmengine - INFO - Epoch(val) [39][1100/2475] eta: 0:02:07 time: 0.0926 data_time: 0.0624 memory: 817 2022/07/30 17:26:33 - mmengine - INFO - Epoch(val) [39][1120/2475] eta: 0:01:51 time: 0.0819 data_time: 0.0508 memory: 817 2022/07/30 17:26:35 - mmengine - INFO - Epoch(val) [39][1140/2475] eta: 0:01:47 time: 0.0805 data_time: 0.0490 memory: 817 2022/07/30 17:26:36 - mmengine - INFO - Epoch(val) [39][1160/2475] eta: 0:01:49 time: 0.0834 data_time: 0.0516 memory: 817 2022/07/30 17:26:38 - mmengine - INFO - Epoch(val) [39][1180/2475] eta: 0:01:44 time: 0.0804 data_time: 0.0488 memory: 817 2022/07/30 17:26:39 - mmengine - INFO - Epoch(val) [39][1200/2475] eta: 0:01:36 time: 0.0757 data_time: 0.0442 memory: 817 2022/07/30 17:26:41 - mmengine - INFO - Epoch(val) [39][1220/2475] eta: 0:01:35 time: 0.0761 data_time: 0.0450 memory: 817 2022/07/30 17:26:43 - mmengine - INFO - Epoch(val) [39][1240/2475] eta: 0:01:45 time: 0.0857 data_time: 0.0544 memory: 817 2022/07/30 17:26:44 - mmengine - INFO - Epoch(val) [39][1260/2475] eta: 0:01:37 time: 0.0804 data_time: 0.0501 memory: 817 2022/07/30 17:26:46 - mmengine - INFO - Epoch(val) [39][1280/2475] eta: 0:01:45 time: 0.0884 data_time: 0.0532 memory: 817 2022/07/30 17:26:48 - mmengine - INFO - Epoch(val) [39][1300/2475] eta: 0:01:38 time: 0.0836 data_time: 0.0527 memory: 817 2022/07/30 17:26:49 - mmengine - INFO - Epoch(val) [39][1320/2475] eta: 0:01:31 time: 0.0794 data_time: 0.0481 memory: 817 2022/07/30 17:26:51 - mmengine - INFO - Epoch(val) [39][1340/2475] eta: 0:01:44 time: 0.0922 data_time: 0.0615 memory: 817 2022/07/30 17:26:53 - mmengine - INFO - Epoch(val) [39][1360/2475] eta: 0:01:25 time: 0.0765 data_time: 0.0451 memory: 817 2022/07/30 17:26:54 - mmengine - INFO - Epoch(val) [39][1380/2475] eta: 0:01:30 time: 0.0831 data_time: 0.0525 memory: 817 2022/07/30 17:26:56 - mmengine - INFO - Epoch(val) [39][1400/2475] eta: 0:01:30 time: 0.0841 data_time: 0.0441 memory: 817 2022/07/30 17:26:57 - mmengine - INFO - Epoch(val) [39][1420/2475] eta: 0:01:15 time: 0.0720 data_time: 0.0392 memory: 817 2022/07/30 17:26:59 - mmengine - INFO - Epoch(val) [39][1440/2475] eta: 0:01:12 time: 0.0701 data_time: 0.0367 memory: 817 2022/07/30 17:27:01 - mmengine - INFO - Epoch(val) [39][1460/2475] eta: 0:01:36 time: 0.0946 data_time: 0.0638 memory: 817 2022/07/30 17:27:02 - mmengine - INFO - Epoch(val) [39][1480/2475] eta: 0:01:14 time: 0.0746 data_time: 0.0427 memory: 817 2022/07/30 17:27:04 - mmengine - INFO - Epoch(val) [39][1500/2475] eta: 0:01:24 time: 0.0869 data_time: 0.0564 memory: 817 2022/07/30 17:27:06 - mmengine - INFO - Epoch(val) [39][1520/2475] eta: 0:01:13 time: 0.0772 data_time: 0.0464 memory: 817 2022/07/30 17:27:07 - mmengine - INFO - Epoch(val) [39][1540/2475] eta: 0:01:18 time: 0.0840 data_time: 0.0527 memory: 817 2022/07/30 17:27:09 - mmengine - INFO - Epoch(val) [39][1560/2475] eta: 0:01:02 time: 0.0679 data_time: 0.0379 memory: 817 2022/07/30 17:27:10 - mmengine - INFO - Epoch(val) [39][1580/2475] eta: 0:01:15 time: 0.0845 data_time: 0.0526 memory: 817 2022/07/30 17:27:12 - mmengine - INFO - Epoch(val) [39][1600/2475] eta: 0:01:22 time: 0.0937 data_time: 0.0630 memory: 817 2022/07/30 17:27:14 - mmengine - INFO - Epoch(val) [39][1620/2475] eta: 0:01:09 time: 0.0812 data_time: 0.0500 memory: 817 2022/07/30 17:27:15 - mmengine - INFO - Epoch(val) [39][1640/2475] eta: 0:00:50 time: 0.0610 data_time: 0.0292 memory: 817 2022/07/30 17:27:17 - mmengine - INFO - Epoch(val) [39][1660/2475] eta: 0:01:16 time: 0.0945 data_time: 0.0459 memory: 817 2022/07/30 17:27:18 - mmengine - INFO - Epoch(val) [39][1680/2475] eta: 0:00:57 time: 0.0727 data_time: 0.0420 memory: 817 2022/07/30 17:27:20 - mmengine - INFO - Epoch(val) [39][1700/2475] eta: 0:01:11 time: 0.0918 data_time: 0.0591 memory: 817 2022/07/30 17:27:22 - mmengine - INFO - Epoch(val) [39][1720/2475] eta: 0:01:00 time: 0.0806 data_time: 0.0482 memory: 817 2022/07/30 17:27:23 - mmengine - INFO - Epoch(val) [39][1740/2475] eta: 0:00:59 time: 0.0806 data_time: 0.0465 memory: 817 2022/07/30 17:27:25 - mmengine - INFO - Epoch(val) [39][1760/2475] eta: 0:00:55 time: 0.0772 data_time: 0.0466 memory: 817 2022/07/30 17:27:27 - mmengine - INFO - Epoch(val) [39][1780/2475] eta: 0:00:55 time: 0.0804 data_time: 0.0485 memory: 817 2022/07/30 17:27:28 - mmengine - INFO - Epoch(val) [39][1800/2475] eta: 0:00:57 time: 0.0853 data_time: 0.0515 memory: 817 2022/07/30 17:27:30 - mmengine - INFO - Epoch(val) [39][1820/2475] eta: 0:00:50 time: 0.0778 data_time: 0.0467 memory: 817 2022/07/30 17:27:32 - mmengine - INFO - Epoch(val) [39][1840/2475] eta: 0:00:57 time: 0.0900 data_time: 0.0593 memory: 817 2022/07/30 17:27:33 - mmengine - INFO - Epoch(val) [39][1860/2475] eta: 0:00:41 time: 0.0682 data_time: 0.0363 memory: 817 2022/07/30 17:27:35 - mmengine - INFO - Epoch(val) [39][1880/2475] eta: 0:00:57 time: 0.0972 data_time: 0.0655 memory: 817 2022/07/30 17:27:37 - mmengine - INFO - Epoch(val) [39][1900/2475] eta: 0:00:44 time: 0.0779 data_time: 0.0261 memory: 817 2022/07/30 17:27:38 - mmengine - INFO - Epoch(val) [39][1920/2475] eta: 0:00:35 time: 0.0646 data_time: 0.0337 memory: 817 2022/07/30 17:27:40 - mmengine - INFO - Epoch(val) [39][1940/2475] eta: 0:00:44 time: 0.0831 data_time: 0.0515 memory: 817 2022/07/30 17:27:41 - mmengine - INFO - Epoch(val) [39][1960/2475] eta: 0:00:40 time: 0.0796 data_time: 0.0481 memory: 817 2022/07/30 17:27:43 - mmengine - INFO - Epoch(val) [39][1980/2475] eta: 0:00:39 time: 0.0798 data_time: 0.0477 memory: 817 2022/07/30 17:27:44 - mmengine - INFO - Epoch(val) [39][2000/2475] eta: 0:00:39 time: 0.0831 data_time: 0.0516 memory: 817 2022/07/30 17:27:46 - mmengine - INFO - Epoch(val) [39][2020/2475] eta: 0:00:33 time: 0.0744 data_time: 0.0419 memory: 817 2022/07/30 17:27:47 - mmengine - INFO - Epoch(val) [39][2040/2475] eta: 0:00:32 time: 0.0750 data_time: 0.0428 memory: 817 2022/07/30 17:27:49 - mmengine - INFO - Epoch(val) [39][2060/2475] eta: 0:00:36 time: 0.0881 data_time: 0.0571 memory: 817 2022/07/30 17:27:51 - mmengine - INFO - Epoch(val) [39][2080/2475] eta: 0:00:32 time: 0.0831 data_time: 0.0511 memory: 817 2022/07/30 17:27:52 - mmengine - INFO - Epoch(val) [39][2100/2475] eta: 0:00:27 time: 0.0740 data_time: 0.0431 memory: 817 2022/07/30 17:27:54 - mmengine - INFO - Epoch(val) [39][2120/2475] eta: 0:00:27 time: 0.0777 data_time: 0.0445 memory: 817 2022/07/30 17:27:56 - mmengine - INFO - Epoch(val) [39][2140/2475] eta: 0:00:27 time: 0.0817 data_time: 0.0508 memory: 817 2022/07/30 17:27:57 - mmengine - INFO - Epoch(val) [39][2160/2475] eta: 0:00:23 time: 0.0740 data_time: 0.0407 memory: 817 2022/07/30 17:27:59 - mmengine - INFO - Epoch(val) [39][2180/2475] eta: 0:00:25 time: 0.0853 data_time: 0.0549 memory: 817 2022/07/30 17:28:00 - mmengine - INFO - Epoch(val) [39][2200/2475] eta: 0:00:20 time: 0.0739 data_time: 0.0422 memory: 817 2022/07/30 17:28:02 - mmengine - INFO - Epoch(val) [39][2220/2475] eta: 0:00:24 time: 0.0945 data_time: 0.0626 memory: 817 2022/07/30 17:28:04 - mmengine - INFO - Epoch(val) [39][2240/2475] eta: 0:00:19 time: 0.0819 data_time: 0.0511 memory: 817 2022/07/30 17:28:06 - mmengine - INFO - Epoch(val) [39][2260/2475] eta: 0:00:20 time: 0.0969 data_time: 0.0643 memory: 817 2022/07/30 17:28:07 - mmengine - INFO - Epoch(val) [39][2280/2475] eta: 0:00:12 time: 0.0643 data_time: 0.0279 memory: 817 2022/07/30 17:28:09 - mmengine - INFO - Epoch(val) [39][2300/2475] eta: 0:00:15 time: 0.0882 data_time: 0.0560 memory: 817 2022/07/30 17:28:10 - mmengine - INFO - Epoch(val) [39][2320/2475] eta: 0:00:11 time: 0.0738 data_time: 0.0428 memory: 817 2022/07/30 17:28:12 - mmengine - INFO - Epoch(val) [39][2340/2475] eta: 0:00:09 time: 0.0727 data_time: 0.0414 memory: 817 2022/07/30 17:28:13 - mmengine - INFO - Epoch(val) [39][2360/2475] eta: 0:00:10 time: 0.0883 data_time: 0.0583 memory: 817 2022/07/30 17:28:15 - mmengine - INFO - Epoch(val) [39][2380/2475] eta: 0:00:07 time: 0.0815 data_time: 0.0482 memory: 817 2022/07/30 17:28:17 - mmengine - INFO - Epoch(val) [39][2400/2475] eta: 0:00:05 time: 0.0777 data_time: 0.0367 memory: 817 2022/07/30 17:28:18 - mmengine - INFO - Epoch(val) [39][2420/2475] eta: 0:00:04 time: 0.0775 data_time: 0.0468 memory: 817 2022/07/30 17:28:20 - mmengine - INFO - Epoch(val) [39][2440/2475] eta: 0:00:02 time: 0.0756 data_time: 0.0436 memory: 817 2022/07/30 17:28:21 - mmengine - INFO - Epoch(val) [39][2460/2475] eta: 0:00:01 time: 0.0836 data_time: 0.0492 memory: 817 2022/07/30 17:28:25 - mmengine - INFO - Epoch(val) [39][2475/2475] acc/top1: 0.7602 acc/top5: 0.9203 acc/mean1: 0.7601 2022/07/30 17:28:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_37.pth is removed 2022/07/30 17:28:26 - mmengine - INFO - The best checkpoint with 0.7602 acc/top1 at 40 epoch is saved to best_acc/top1_epoch_40.pth. 2022/07/30 17:28:52 - mmengine - INFO - Epoch(train) [40][20/2505] lr: 5.0000e-05 eta: 13:06:15 time: 1.2742 data_time: 0.6760 memory: 32703 grad_norm: 19.0358 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0033 loss: 1.0033 2022/07/30 17:29:10 - mmengine - INFO - Epoch(train) [40][40/2505] lr: 5.0000e-05 eta: 13:05:55 time: 0.9051 data_time: 0.3065 memory: 32703 grad_norm: 18.5444 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8546 loss: 0.8546 2022/07/30 17:29:31 - mmengine - INFO - Epoch(train) [40][60/2505] lr: 5.0000e-05 eta: 13:05:36 time: 1.0658 data_time: 0.4184 memory: 32703 grad_norm: 18.3575 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8741 loss: 0.8741 2022/07/30 17:29:49 - mmengine - INFO - Epoch(train) [40][80/2505] lr: 5.0000e-05 eta: 13:05:15 time: 0.8937 data_time: 0.2952 memory: 32703 grad_norm: 18.8564 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0585 loss: 1.0585 2022/07/30 17:30:12 - mmengine - INFO - Epoch(train) [40][100/2505] lr: 5.0000e-05 eta: 13:04:57 time: 1.1590 data_time: 0.5695 memory: 32703 grad_norm: 18.6182 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.8758 loss: 0.8758 2022/07/30 17:30:30 - mmengine - INFO - Epoch(train) [40][120/2505] lr: 5.0000e-05 eta: 13:04:36 time: 0.8786 data_time: 0.2963 memory: 32703 grad_norm: 18.6042 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9519 loss: 0.9519 2022/07/30 17:30:51 - mmengine - INFO - Epoch(train) [40][140/2505] lr: 5.0000e-05 eta: 13:04:17 time: 1.0699 data_time: 0.5016 memory: 32703 grad_norm: 18.1849 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9013 loss: 0.9013 2022/07/30 17:31:09 - mmengine - INFO - Epoch(train) [40][160/2505] lr: 5.0000e-05 eta: 13:03:56 time: 0.8908 data_time: 0.2857 memory: 32703 grad_norm: 19.4105 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0618 loss: 1.0618 2022/07/30 17:31:30 - mmengine - INFO - Epoch(train) [40][180/2505] lr: 5.0000e-05 eta: 13:03:36 time: 1.0368 data_time: 0.4103 memory: 32703 grad_norm: 18.1324 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0555 loss: 1.0555 2022/07/30 17:31:49 - mmengine - INFO - Epoch(train) [40][200/2505] lr: 5.0000e-05 eta: 13:03:16 time: 0.9679 data_time: 0.1605 memory: 32703 grad_norm: 19.1232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9400 loss: 0.9400 2022/07/30 17:32:10 - mmengine - INFO - Epoch(train) [40][220/2505] lr: 5.0000e-05 eta: 13:02:57 time: 1.0292 data_time: 0.0918 memory: 32703 grad_norm: 17.5684 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0252 loss: 1.0252 2022/07/30 17:32:27 - mmengine - INFO - Epoch(train) [40][240/2505] lr: 5.0000e-05 eta: 13:02:36 time: 0.8682 data_time: 0.1155 memory: 32703 grad_norm: 18.6743 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2531 loss: 1.2531 2022/07/30 17:32:49 - mmengine - INFO - Epoch(train) [40][260/2505] lr: 5.0000e-05 eta: 13:02:17 time: 1.0606 data_time: 0.2421 memory: 32703 grad_norm: 18.0497 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8873 loss: 0.8873 2022/07/30 17:33:07 - mmengine - INFO - Epoch(train) [40][280/2505] lr: 5.0000e-05 eta: 13:01:56 time: 0.9110 data_time: 0.1294 memory: 32703 grad_norm: 18.7498 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1037 loss: 1.1037 2022/07/30 17:33:29 - mmengine - INFO - Epoch(train) [40][300/2505] lr: 5.0000e-05 eta: 13:01:37 time: 1.1067 data_time: 0.2636 memory: 32703 grad_norm: 18.0376 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0099 loss: 1.0099 2022/07/30 17:33:33 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 17:33:46 - mmengine - INFO - Epoch(train) [40][320/2505] lr: 5.0000e-05 eta: 13:01:16 time: 0.8463 data_time: 0.1193 memory: 32703 grad_norm: 18.8828 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2405 loss: 1.2405 2022/07/30 17:34:06 - mmengine - INFO - Epoch(train) [40][340/2505] lr: 5.0000e-05 eta: 13:00:56 time: 1.0126 data_time: 0.2026 memory: 32703 grad_norm: 18.7163 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1588 loss: 1.1588 2022/07/30 17:34:24 - mmengine - INFO - Epoch(train) [40][360/2505] lr: 5.0000e-05 eta: 13:00:36 time: 0.9118 data_time: 0.2566 memory: 32703 grad_norm: 18.8599 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9572 loss: 0.9572 2022/07/30 17:34:46 - mmengine - INFO - Epoch(train) [40][380/2505] lr: 5.0000e-05 eta: 13:00:17 time: 1.0614 data_time: 0.4210 memory: 32703 grad_norm: 18.4052 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0047 loss: 1.0047 2022/07/30 17:35:04 - mmengine - INFO - Epoch(train) [40][400/2505] lr: 5.0000e-05 eta: 12:59:56 time: 0.9052 data_time: 0.2645 memory: 32703 grad_norm: 18.6999 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9685 loss: 0.9685 2022/07/30 17:35:26 - mmengine - INFO - Epoch(train) [40][420/2505] lr: 5.0000e-05 eta: 12:59:37 time: 1.0882 data_time: 0.2982 memory: 32703 grad_norm: 18.4698 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0263 loss: 1.0263 2022/07/30 17:35:43 - mmengine - INFO - Epoch(train) [40][440/2505] lr: 5.0000e-05 eta: 12:59:16 time: 0.8964 data_time: 0.2242 memory: 32703 grad_norm: 19.5152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2283 loss: 1.2283 2022/07/30 17:36:05 - mmengine - INFO - Epoch(train) [40][460/2505] lr: 5.0000e-05 eta: 12:58:58 time: 1.0908 data_time: 0.1960 memory: 32703 grad_norm: 18.7733 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0262 loss: 1.0262 2022/07/30 17:36:23 - mmengine - INFO - Epoch(train) [40][480/2505] lr: 5.0000e-05 eta: 12:58:37 time: 0.8956 data_time: 0.0920 memory: 32703 grad_norm: 18.4417 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0577 loss: 1.0577 2022/07/30 17:36:44 - mmengine - INFO - Epoch(train) [40][500/2505] lr: 5.0000e-05 eta: 12:58:18 time: 1.0637 data_time: 0.0466 memory: 32703 grad_norm: 18.1370 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9201 loss: 0.9201 2022/07/30 17:37:03 - mmengine - INFO - Epoch(train) [40][520/2505] lr: 5.0000e-05 eta: 12:57:57 time: 0.9081 data_time: 0.0299 memory: 32703 grad_norm: 18.9806 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8981 loss: 0.8981 2022/07/30 17:37:23 - mmengine - INFO - Epoch(train) [40][540/2505] lr: 5.0000e-05 eta: 12:57:38 time: 1.0377 data_time: 0.0374 memory: 32703 grad_norm: 17.7292 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8964 loss: 0.8964 2022/07/30 17:37:41 - mmengine - INFO - Epoch(train) [40][560/2505] lr: 5.0000e-05 eta: 12:57:17 time: 0.8819 data_time: 0.0279 memory: 32703 grad_norm: 18.2999 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7529 loss: 0.7529 2022/07/30 17:38:02 - mmengine - INFO - Epoch(train) [40][580/2505] lr: 5.0000e-05 eta: 12:56:57 time: 1.0348 data_time: 0.0344 memory: 32703 grad_norm: 19.1265 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1081 loss: 1.1081 2022/07/30 17:38:20 - mmengine - INFO - Epoch(train) [40][600/2505] lr: 5.0000e-05 eta: 12:56:37 time: 0.9061 data_time: 0.0313 memory: 32703 grad_norm: 18.7937 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9785 loss: 0.9785 2022/07/30 17:38:41 - mmengine - INFO - Epoch(train) [40][620/2505] lr: 5.0000e-05 eta: 12:56:17 time: 1.0568 data_time: 0.0324 memory: 32703 grad_norm: 18.3402 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0542 loss: 1.0542 2022/07/30 17:39:00 - mmengine - INFO - Epoch(train) [40][640/2505] lr: 5.0000e-05 eta: 12:55:57 time: 0.9217 data_time: 0.0302 memory: 32703 grad_norm: 18.4381 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9590 loss: 0.9590 2022/07/30 17:39:20 - mmengine - INFO - Epoch(train) [40][660/2505] lr: 5.0000e-05 eta: 12:55:38 time: 1.0297 data_time: 0.0359 memory: 32703 grad_norm: 18.8377 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1317 loss: 1.1317 2022/07/30 17:39:38 - mmengine - INFO - Epoch(train) [40][680/2505] lr: 5.0000e-05 eta: 12:55:17 time: 0.8988 data_time: 0.0367 memory: 32703 grad_norm: 19.3418 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0819 loss: 1.0819 2022/07/30 17:40:00 - mmengine - INFO - Epoch(train) [40][700/2505] lr: 5.0000e-05 eta: 12:54:58 time: 1.0943 data_time: 0.1114 memory: 32703 grad_norm: 18.8521 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2107 loss: 1.2107 2022/07/30 17:40:18 - mmengine - INFO - Epoch(train) [40][720/2505] lr: 5.0000e-05 eta: 12:54:37 time: 0.9039 data_time: 0.0931 memory: 32703 grad_norm: 18.8097 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.1141 loss: 1.1141 2022/07/30 17:40:40 - mmengine - INFO - Epoch(train) [40][740/2505] lr: 5.0000e-05 eta: 12:54:18 time: 1.0986 data_time: 0.0292 memory: 32703 grad_norm: 17.9514 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9114 loss: 0.9114 2022/07/30 17:40:57 - mmengine - INFO - Epoch(train) [40][760/2505] lr: 5.0000e-05 eta: 12:53:58 time: 0.8733 data_time: 0.0420 memory: 32703 grad_norm: 18.1745 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8597 loss: 0.8597 2022/07/30 17:41:18 - mmengine - INFO - Epoch(train) [40][780/2505] lr: 5.0000e-05 eta: 12:53:38 time: 1.0413 data_time: 0.0393 memory: 32703 grad_norm: 19.0638 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0668 loss: 1.0668 2022/07/30 17:41:37 - mmengine - INFO - Epoch(train) [40][800/2505] lr: 5.0000e-05 eta: 12:53:18 time: 0.9472 data_time: 0.0322 memory: 32703 grad_norm: 18.0676 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8592 loss: 0.8592 2022/07/30 17:41:57 - mmengine - INFO - Epoch(train) [40][820/2505] lr: 5.0000e-05 eta: 12:52:58 time: 1.0023 data_time: 0.0475 memory: 32703 grad_norm: 18.4814 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9052 loss: 0.9052 2022/07/30 17:42:17 - mmengine - INFO - Epoch(train) [40][840/2505] lr: 5.0000e-05 eta: 12:52:38 time: 0.9828 data_time: 0.1944 memory: 32703 grad_norm: 19.0785 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9629 loss: 0.9629 2022/07/30 17:42:36 - mmengine - INFO - Epoch(train) [40][860/2505] lr: 5.0000e-05 eta: 12:52:18 time: 0.9694 data_time: 0.1645 memory: 32703 grad_norm: 18.4895 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0017 loss: 1.0017 2022/07/30 17:42:56 - mmengine - INFO - Epoch(train) [40][880/2505] lr: 5.0000e-05 eta: 12:51:58 time: 0.9922 data_time: 0.2653 memory: 32703 grad_norm: 19.1476 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.2980 loss: 1.2980 2022/07/30 17:43:16 - mmengine - INFO - Epoch(train) [40][900/2505] lr: 5.0000e-05 eta: 12:51:38 time: 0.9725 data_time: 0.1887 memory: 32703 grad_norm: 19.0360 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3176 loss: 1.3176 2022/07/30 17:43:35 - mmengine - INFO - Epoch(train) [40][920/2505] lr: 5.0000e-05 eta: 12:51:19 time: 0.9881 data_time: 0.2543 memory: 32703 grad_norm: 18.4351 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0822 loss: 1.0822 2022/07/30 17:43:55 - mmengine - INFO - Epoch(train) [40][940/2505] lr: 5.0000e-05 eta: 12:50:58 time: 0.9547 data_time: 0.3353 memory: 32703 grad_norm: 19.4026 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0750 loss: 1.0750 2022/07/30 17:44:16 - mmengine - INFO - Epoch(train) [40][960/2505] lr: 5.0000e-05 eta: 12:50:39 time: 1.0635 data_time: 0.4598 memory: 32703 grad_norm: 18.2782 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7815 loss: 0.7815 2022/07/30 17:44:35 - mmengine - INFO - Epoch(train) [40][980/2505] lr: 5.0000e-05 eta: 12:50:19 time: 0.9446 data_time: 0.2479 memory: 32703 grad_norm: 18.4283 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9962 loss: 0.9962 2022/07/30 17:44:54 - mmengine - INFO - Epoch(train) [40][1000/2505] lr: 5.0000e-05 eta: 12:49:59 time: 0.9591 data_time: 0.1233 memory: 32703 grad_norm: 18.4802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9829 loss: 0.9829 2022/07/30 17:45:14 - mmengine - INFO - Epoch(train) [40][1020/2505] lr: 5.0000e-05 eta: 12:49:39 time: 1.0274 data_time: 0.1993 memory: 32703 grad_norm: 18.2462 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8492 loss: 0.8492 2022/07/30 17:45:35 - mmengine - INFO - Epoch(train) [40][1040/2505] lr: 5.0000e-05 eta: 12:49:20 time: 1.0054 data_time: 0.1388 memory: 32703 grad_norm: 18.5276 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9976 loss: 0.9976 2022/07/30 17:45:54 - mmengine - INFO - Epoch(train) [40][1060/2505] lr: 5.0000e-05 eta: 12:49:00 time: 0.9873 data_time: 0.0336 memory: 32703 grad_norm: 18.6009 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0400 loss: 1.0400 2022/07/30 17:46:13 - mmengine - INFO - Epoch(train) [40][1080/2505] lr: 5.0000e-05 eta: 12:48:39 time: 0.9265 data_time: 0.0291 memory: 32703 grad_norm: 18.7977 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2040 loss: 1.2040 2022/07/30 17:46:33 - mmengine - INFO - Epoch(train) [40][1100/2505] lr: 5.0000e-05 eta: 12:48:20 time: 1.0135 data_time: 0.0293 memory: 32703 grad_norm: 18.6543 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0535 loss: 1.0535 2022/07/30 17:46:52 - mmengine - INFO - Epoch(train) [40][1120/2505] lr: 5.0000e-05 eta: 12:47:59 time: 0.9319 data_time: 0.0363 memory: 32703 grad_norm: 18.9093 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0620 loss: 1.0620 2022/07/30 17:47:13 - mmengine - INFO - Epoch(train) [40][1140/2505] lr: 5.0000e-05 eta: 12:47:40 time: 1.0648 data_time: 0.0864 memory: 32703 grad_norm: 18.7028 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0523 loss: 1.0523 2022/07/30 17:47:30 - mmengine - INFO - Epoch(train) [40][1160/2505] lr: 5.0000e-05 eta: 12:47:19 time: 0.8675 data_time: 0.0600 memory: 32703 grad_norm: 18.1480 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0860 loss: 1.0860 2022/07/30 17:47:51 - mmengine - INFO - Epoch(train) [40][1180/2505] lr: 5.0000e-05 eta: 12:47:00 time: 1.0290 data_time: 0.0505 memory: 32703 grad_norm: 19.1444 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2084 loss: 1.2084 2022/07/30 17:48:09 - mmengine - INFO - Epoch(train) [40][1200/2505] lr: 5.0000e-05 eta: 12:46:39 time: 0.9150 data_time: 0.0279 memory: 32703 grad_norm: 18.6760 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9264 loss: 0.9264 2022/07/30 17:48:29 - mmengine - INFO - Epoch(train) [40][1220/2505] lr: 5.0000e-05 eta: 12:46:19 time: 0.9965 data_time: 0.0378 memory: 32703 grad_norm: 18.7883 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9724 loss: 0.9724 2022/07/30 17:48:48 - mmengine - INFO - Epoch(train) [40][1240/2505] lr: 5.0000e-05 eta: 12:45:59 time: 0.9438 data_time: 0.1099 memory: 32703 grad_norm: 18.2983 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9076 loss: 0.9076 2022/07/30 17:49:08 - mmengine - INFO - Epoch(train) [40][1260/2505] lr: 5.0000e-05 eta: 12:45:39 time: 1.0055 data_time: 0.1347 memory: 32703 grad_norm: 18.9695 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9372 loss: 0.9372 2022/07/30 17:49:27 - mmengine - INFO - Epoch(train) [40][1280/2505] lr: 5.0000e-05 eta: 12:45:19 time: 0.9478 data_time: 0.1819 memory: 32703 grad_norm: 18.7219 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0086 loss: 1.0086 2022/07/30 17:49:47 - mmengine - INFO - Epoch(train) [40][1300/2505] lr: 5.0000e-05 eta: 12:44:59 time: 0.9988 data_time: 0.1911 memory: 32703 grad_norm: 18.6394 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0765 loss: 1.0765 2022/07/30 17:49:54 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 17:50:09 - mmengine - INFO - Epoch(train) [40][1320/2505] lr: 5.0000e-05 eta: 12:44:40 time: 1.0925 data_time: 0.4299 memory: 32703 grad_norm: 18.9221 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0705 loss: 1.0705 2022/07/30 17:50:27 - mmengine - INFO - Epoch(train) [40][1340/2505] lr: 5.0000e-05 eta: 12:44:20 time: 0.8940 data_time: 0.2930 memory: 32703 grad_norm: 19.3988 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1165 loss: 1.1165 2022/07/30 17:50:47 - mmengine - INFO - Epoch(train) [40][1360/2505] lr: 5.0000e-05 eta: 12:44:00 time: 1.0215 data_time: 0.3970 memory: 32703 grad_norm: 18.6615 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1507 loss: 1.1507 2022/07/30 17:51:06 - mmengine - INFO - Epoch(train) [40][1380/2505] lr: 5.0000e-05 eta: 12:43:40 time: 0.9209 data_time: 0.2737 memory: 32703 grad_norm: 17.8002 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8921 loss: 0.8921 2022/07/30 17:51:27 - mmengine - INFO - Epoch(train) [40][1400/2505] lr: 5.0000e-05 eta: 12:43:20 time: 1.0311 data_time: 0.4265 memory: 32703 grad_norm: 18.8243 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9148 loss: 0.9148 2022/07/30 17:51:45 - mmengine - INFO - Epoch(train) [40][1420/2505] lr: 5.0000e-05 eta: 12:43:00 time: 0.9211 data_time: 0.2989 memory: 32703 grad_norm: 18.9403 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1019 loss: 1.1019 2022/07/30 17:52:06 - mmengine - INFO - Epoch(train) [40][1440/2505] lr: 5.0000e-05 eta: 12:42:40 time: 1.0535 data_time: 0.4523 memory: 32703 grad_norm: 17.6006 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0614 loss: 1.0614 2022/07/30 17:52:25 - mmengine - INFO - Epoch(train) [40][1460/2505] lr: 5.0000e-05 eta: 12:42:20 time: 0.9545 data_time: 0.3380 memory: 32703 grad_norm: 18.4199 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0417 loss: 1.0417 2022/07/30 17:52:45 - mmengine - INFO - Epoch(train) [40][1480/2505] lr: 5.0000e-05 eta: 12:42:00 time: 0.9916 data_time: 0.3939 memory: 32703 grad_norm: 19.2529 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1369 loss: 1.1369 2022/07/30 17:53:07 - mmengine - INFO - Epoch(train) [40][1500/2505] lr: 5.0000e-05 eta: 12:41:42 time: 1.0904 data_time: 0.3172 memory: 32703 grad_norm: 18.8882 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9831 loss: 0.9831 2022/07/30 17:53:27 - mmengine - INFO - Epoch(train) [40][1520/2505] lr: 5.0000e-05 eta: 12:41:22 time: 1.0264 data_time: 0.4300 memory: 32703 grad_norm: 18.5916 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.8362 loss: 0.8362 2022/07/30 17:53:45 - mmengine - INFO - Epoch(train) [40][1540/2505] lr: 5.0000e-05 eta: 12:41:01 time: 0.9088 data_time: 0.3173 memory: 32703 grad_norm: 19.1838 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0100 loss: 1.0100 2022/07/30 17:54:06 - mmengine - INFO - Epoch(train) [40][1560/2505] lr: 5.0000e-05 eta: 12:40:42 time: 1.0053 data_time: 0.3651 memory: 32703 grad_norm: 18.6794 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0553 loss: 1.0553 2022/07/30 17:54:24 - mmengine - INFO - Epoch(train) [40][1580/2505] lr: 5.0000e-05 eta: 12:40:21 time: 0.9307 data_time: 0.3149 memory: 32703 grad_norm: 18.6354 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9438 loss: 0.9438 2022/07/30 17:54:45 - mmengine - INFO - Epoch(train) [40][1600/2505] lr: 5.0000e-05 eta: 12:40:02 time: 1.0352 data_time: 0.4359 memory: 32703 grad_norm: 19.6617 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0347 loss: 1.0347 2022/07/30 17:55:05 - mmengine - INFO - Epoch(train) [40][1620/2505] lr: 5.0000e-05 eta: 12:39:42 time: 0.9920 data_time: 0.3920 memory: 32703 grad_norm: 18.7273 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1142 loss: 1.1142 2022/07/30 17:55:24 - mmengine - INFO - Epoch(train) [40][1640/2505] lr: 5.0000e-05 eta: 12:39:22 time: 0.9851 data_time: 0.3905 memory: 32703 grad_norm: 19.0530 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0691 loss: 1.0691 2022/07/30 17:55:44 - mmengine - INFO - Epoch(train) [40][1660/2505] lr: 5.0000e-05 eta: 12:39:02 time: 0.9871 data_time: 0.4017 memory: 32703 grad_norm: 18.3527 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2143 loss: 1.2143 2022/07/30 17:56:04 - mmengine - INFO - Epoch(train) [40][1680/2505] lr: 5.0000e-05 eta: 12:38:43 time: 0.9919 data_time: 0.3884 memory: 32703 grad_norm: 18.1602 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9122 loss: 0.9122 2022/07/30 17:56:24 - mmengine - INFO - Epoch(train) [40][1700/2505] lr: 5.0000e-05 eta: 12:38:23 time: 0.9822 data_time: 0.3768 memory: 32703 grad_norm: 18.8276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9704 loss: 0.9704 2022/07/30 17:56:44 - mmengine - INFO - Epoch(train) [40][1720/2505] lr: 5.0000e-05 eta: 12:38:03 time: 1.0067 data_time: 0.4097 memory: 32703 grad_norm: 18.4986 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9266 loss: 0.9266 2022/07/30 17:57:03 - mmengine - INFO - Epoch(train) [40][1740/2505] lr: 5.0000e-05 eta: 12:37:43 time: 0.9846 data_time: 0.3781 memory: 32703 grad_norm: 19.3916 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9400 loss: 0.9400 2022/07/30 17:57:23 - mmengine - INFO - Epoch(train) [40][1760/2505] lr: 5.0000e-05 eta: 12:37:23 time: 0.9673 data_time: 0.3515 memory: 32703 grad_norm: 18.9488 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8761 loss: 0.8761 2022/07/30 17:57:44 - mmengine - INFO - Epoch(train) [40][1780/2505] lr: 5.0000e-05 eta: 12:37:04 time: 1.0446 data_time: 0.4435 memory: 32703 grad_norm: 17.6884 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9077 loss: 0.9077 2022/07/30 17:58:02 - mmengine - INFO - Epoch(train) [40][1800/2505] lr: 5.0000e-05 eta: 12:36:43 time: 0.8900 data_time: 0.2966 memory: 32703 grad_norm: 18.3740 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8461 loss: 0.8461 2022/07/30 17:58:23 - mmengine - INFO - Epoch(train) [40][1820/2505] lr: 5.0000e-05 eta: 12:36:24 time: 1.0609 data_time: 0.4399 memory: 32703 grad_norm: 19.4229 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8712 loss: 0.8712 2022/07/30 17:58:41 - mmengine - INFO - Epoch(train) [40][1840/2505] lr: 5.0000e-05 eta: 12:36:03 time: 0.8930 data_time: 0.3092 memory: 32703 grad_norm: 18.9608 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8101 loss: 0.8101 2022/07/30 17:59:00 - mmengine - INFO - Epoch(train) [40][1860/2505] lr: 5.0000e-05 eta: 12:35:43 time: 0.9815 data_time: 0.3682 memory: 32703 grad_norm: 19.8968 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1666 loss: 1.1666 2022/07/30 17:59:18 - mmengine - INFO - Epoch(train) [40][1880/2505] lr: 5.0000e-05 eta: 12:35:22 time: 0.8810 data_time: 0.3144 memory: 32703 grad_norm: 18.6023 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0943 loss: 1.0943 2022/07/30 17:59:40 - mmengine - INFO - Epoch(train) [40][1900/2505] lr: 5.0000e-05 eta: 12:35:03 time: 1.1117 data_time: 0.5114 memory: 32703 grad_norm: 18.3265 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0061 loss: 1.0061 2022/07/30 17:59:59 - mmengine - INFO - Epoch(train) [40][1920/2505] lr: 5.0000e-05 eta: 12:34:43 time: 0.9279 data_time: 0.3370 memory: 32703 grad_norm: 18.9402 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0337 loss: 1.0337 2022/07/30 18:00:21 - mmengine - INFO - Epoch(train) [40][1940/2505] lr: 5.0000e-05 eta: 12:34:24 time: 1.1136 data_time: 0.4195 memory: 32703 grad_norm: 18.6180 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4674 loss: 1.4674 2022/07/30 18:00:39 - mmengine - INFO - Epoch(train) [40][1960/2505] lr: 5.0000e-05 eta: 12:34:04 time: 0.8821 data_time: 0.3104 memory: 32703 grad_norm: 18.4296 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1932 loss: 1.1932 2022/07/30 18:00:59 - mmengine - INFO - Epoch(train) [40][1980/2505] lr: 5.0000e-05 eta: 12:33:44 time: 0.9993 data_time: 0.4189 memory: 32703 grad_norm: 18.2597 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8165 loss: 0.8165 2022/07/30 18:01:18 - mmengine - INFO - Epoch(train) [40][2000/2505] lr: 5.0000e-05 eta: 12:33:24 time: 0.9497 data_time: 0.3571 memory: 32703 grad_norm: 18.3594 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8409 loss: 0.8409 2022/07/30 18:01:38 - mmengine - INFO - Epoch(train) [40][2020/2505] lr: 5.0000e-05 eta: 12:33:04 time: 1.0405 data_time: 0.4209 memory: 32703 grad_norm: 18.9921 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0354 loss: 1.0354 2022/07/30 18:01:57 - mmengine - INFO - Epoch(train) [40][2040/2505] lr: 5.0000e-05 eta: 12:32:44 time: 0.9262 data_time: 0.3296 memory: 32703 grad_norm: 18.8935 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0797 loss: 1.0797 2022/07/30 18:02:18 - mmengine - INFO - Epoch(train) [40][2060/2505] lr: 5.0000e-05 eta: 12:32:25 time: 1.0674 data_time: 0.4730 memory: 32703 grad_norm: 18.3827 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1139 loss: 1.1139 2022/07/30 18:02:37 - mmengine - INFO - Epoch(train) [40][2080/2505] lr: 5.0000e-05 eta: 12:32:04 time: 0.9101 data_time: 0.3360 memory: 32703 grad_norm: 18.3339 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9179 loss: 0.9179 2022/07/30 18:02:57 - mmengine - INFO - Epoch(train) [40][2100/2505] lr: 5.0000e-05 eta: 12:31:45 time: 1.0440 data_time: 0.4644 memory: 32703 grad_norm: 18.7932 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8783 loss: 0.8783 2022/07/30 18:03:16 - mmengine - INFO - Epoch(train) [40][2120/2505] lr: 5.0000e-05 eta: 12:31:25 time: 0.9504 data_time: 0.3390 memory: 32703 grad_norm: 18.5585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0138 loss: 1.0138 2022/07/30 18:03:37 - mmengine - INFO - Epoch(train) [40][2140/2505] lr: 5.0000e-05 eta: 12:31:05 time: 1.0194 data_time: 0.4131 memory: 32703 grad_norm: 18.4121 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8537 loss: 0.8537 2022/07/30 18:03:55 - mmengine - INFO - Epoch(train) [40][2160/2505] lr: 5.0000e-05 eta: 12:30:44 time: 0.9184 data_time: 0.3067 memory: 32703 grad_norm: 18.5510 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9532 loss: 0.9532 2022/07/30 18:04:16 - mmengine - INFO - Epoch(train) [40][2180/2505] lr: 5.0000e-05 eta: 12:30:25 time: 1.0261 data_time: 0.4180 memory: 32703 grad_norm: 18.4286 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9551 loss: 0.9551 2022/07/30 18:04:35 - mmengine - INFO - Epoch(train) [40][2200/2505] lr: 5.0000e-05 eta: 12:30:05 time: 0.9451 data_time: 0.3290 memory: 32703 grad_norm: 18.5776 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8336 loss: 0.8336 2022/07/30 18:04:55 - mmengine - INFO - Epoch(train) [40][2220/2505] lr: 5.0000e-05 eta: 12:29:45 time: 1.0245 data_time: 0.4316 memory: 32703 grad_norm: 18.3067 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7750 loss: 0.7750 2022/07/30 18:05:14 - mmengine - INFO - Epoch(train) [40][2240/2505] lr: 5.0000e-05 eta: 12:29:25 time: 0.9610 data_time: 0.3640 memory: 32703 grad_norm: 19.0569 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1259 loss: 1.1259 2022/07/30 18:05:35 - mmengine - INFO - Epoch(train) [40][2260/2505] lr: 5.0000e-05 eta: 12:29:06 time: 1.0338 data_time: 0.4176 memory: 32703 grad_norm: 17.8045 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9170 loss: 0.9170 2022/07/30 18:05:53 - mmengine - INFO - Epoch(train) [40][2280/2505] lr: 5.0000e-05 eta: 12:28:45 time: 0.9119 data_time: 0.3326 memory: 32703 grad_norm: 19.0089 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1210 loss: 1.1210 2022/07/30 18:06:15 - mmengine - INFO - Epoch(train) [40][2300/2505] lr: 5.0000e-05 eta: 12:28:26 time: 1.0760 data_time: 0.4923 memory: 32703 grad_norm: 19.1195 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0042 loss: 1.0042 2022/07/30 18:06:20 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 18:06:32 - mmengine - INFO - Epoch(train) [40][2320/2505] lr: 5.0000e-05 eta: 12:28:05 time: 0.8604 data_time: 0.2609 memory: 32703 grad_norm: 19.2098 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1466 loss: 1.1466 2022/07/30 18:06:53 - mmengine - INFO - Epoch(train) [40][2340/2505] lr: 5.0000e-05 eta: 12:27:46 time: 1.0674 data_time: 0.4520 memory: 32703 grad_norm: 18.6823 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0018 loss: 1.0018 2022/07/30 18:07:13 - mmengine - INFO - Epoch(train) [40][2360/2505] lr: 5.0000e-05 eta: 12:27:26 time: 0.9795 data_time: 0.3558 memory: 32703 grad_norm: 18.7719 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0898 loss: 1.0898 2022/07/30 18:07:33 - mmengine - INFO - Epoch(train) [40][2380/2505] lr: 5.0000e-05 eta: 12:27:06 time: 0.9791 data_time: 0.3640 memory: 32703 grad_norm: 18.3444 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8179 loss: 0.8179 2022/07/30 18:07:50 - mmengine - INFO - Epoch(train) [40][2400/2505] lr: 5.0000e-05 eta: 12:26:45 time: 0.8795 data_time: 0.2988 memory: 32703 grad_norm: 18.5634 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9579 loss: 0.9579 2022/07/30 18:08:12 - mmengine - INFO - Epoch(train) [40][2420/2505] lr: 5.0000e-05 eta: 12:26:26 time: 1.0684 data_time: 0.4562 memory: 32703 grad_norm: 18.6682 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1019 loss: 1.1019 2022/07/30 18:08:29 - mmengine - INFO - Epoch(train) [40][2440/2505] lr: 5.0000e-05 eta: 12:26:05 time: 0.8766 data_time: 0.3024 memory: 32703 grad_norm: 18.9134 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9247 loss: 0.9247 2022/07/30 18:08:50 - mmengine - INFO - Epoch(train) [40][2460/2505] lr: 5.0000e-05 eta: 12:25:46 time: 1.0210 data_time: 0.4070 memory: 32703 grad_norm: 19.0073 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1284 loss: 1.1284 2022/07/30 18:09:08 - mmengine - INFO - Epoch(train) [40][2480/2505] lr: 5.0000e-05 eta: 12:25:25 time: 0.9207 data_time: 0.3359 memory: 32703 grad_norm: 18.3783 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9307 loss: 0.9307 2022/07/30 18:09:27 - mmengine - INFO - Epoch(train) [40][2500/2505] lr: 5.0000e-05 eta: 12:25:05 time: 0.9245 data_time: 0.3170 memory: 32703 grad_norm: 18.4223 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.0748 loss: 1.0748 2022/07/30 18:09:29 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 18:09:29 - mmengine - INFO - Epoch(train) [40][2505/2505] lr: 5.0000e-05 eta: 12:25:05 time: 0.7374 data_time: 0.1793 memory: 32703 grad_norm: 18.5898 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1603 loss: 1.1603 2022/07/30 18:09:29 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/07/30 18:09:59 - mmengine - INFO - Epoch(train) [41][20/2505] lr: 5.0000e-05 eta: 12:24:39 time: 1.1781 data_time: 0.5935 memory: 32703 grad_norm: 18.3616 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1616 loss: 1.1616 2022/07/30 18:10:18 - mmengine - INFO - Epoch(train) [41][40/2505] lr: 5.0000e-05 eta: 12:24:19 time: 0.9366 data_time: 0.3450 memory: 32703 grad_norm: 18.7689 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0948 loss: 1.0948 2022/07/30 18:10:39 - mmengine - INFO - Epoch(train) [41][60/2505] lr: 5.0000e-05 eta: 12:24:00 time: 1.0454 data_time: 0.4465 memory: 32703 grad_norm: 17.9728 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0722 loss: 1.0722 2022/07/30 18:10:56 - mmengine - INFO - Epoch(train) [41][80/2505] lr: 5.0000e-05 eta: 12:23:39 time: 0.8990 data_time: 0.3021 memory: 32703 grad_norm: 18.2272 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9993 loss: 0.9993 2022/07/30 18:11:18 - mmengine - INFO - Epoch(train) [41][100/2505] lr: 5.0000e-05 eta: 12:23:20 time: 1.0674 data_time: 0.4692 memory: 32703 grad_norm: 19.4038 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9824 loss: 0.9824 2022/07/30 18:11:37 - mmengine - INFO - Epoch(train) [41][120/2505] lr: 5.0000e-05 eta: 12:23:00 time: 0.9337 data_time: 0.3272 memory: 32703 grad_norm: 19.1994 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0605 loss: 1.0605 2022/07/30 18:11:57 - mmengine - INFO - Epoch(train) [41][140/2505] lr: 5.0000e-05 eta: 12:22:40 time: 1.0403 data_time: 0.4598 memory: 32703 grad_norm: 18.7719 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1464 loss: 1.1464 2022/07/30 18:12:15 - mmengine - INFO - Epoch(train) [41][160/2505] lr: 5.0000e-05 eta: 12:22:19 time: 0.8795 data_time: 0.2999 memory: 32703 grad_norm: 18.4406 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9693 loss: 0.9693 2022/07/30 18:12:36 - mmengine - INFO - Epoch(train) [41][180/2505] lr: 5.0000e-05 eta: 12:22:00 time: 1.0683 data_time: 0.4694 memory: 32703 grad_norm: 17.7276 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9004 loss: 0.9004 2022/07/30 18:12:54 - mmengine - INFO - Epoch(train) [41][200/2505] lr: 5.0000e-05 eta: 12:21:39 time: 0.8842 data_time: 0.2925 memory: 32703 grad_norm: 18.7069 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0520 loss: 1.0520 2022/07/30 18:13:15 - mmengine - INFO - Epoch(train) [41][220/2505] lr: 5.0000e-05 eta: 12:21:20 time: 1.0578 data_time: 0.4635 memory: 32703 grad_norm: 18.5002 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8195 loss: 0.8195 2022/07/30 18:13:34 - mmengine - INFO - Epoch(train) [41][240/2505] lr: 5.0000e-05 eta: 12:21:00 time: 0.9379 data_time: 0.3366 memory: 32703 grad_norm: 19.5834 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2299 loss: 1.2299 2022/07/30 18:13:55 - mmengine - INFO - Epoch(train) [41][260/2505] lr: 5.0000e-05 eta: 12:20:40 time: 1.0336 data_time: 0.4292 memory: 32703 grad_norm: 18.4738 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8782 loss: 0.8782 2022/07/30 18:14:13 - mmengine - INFO - Epoch(train) [41][280/2505] lr: 5.0000e-05 eta: 12:20:20 time: 0.9161 data_time: 0.3471 memory: 32703 grad_norm: 18.5518 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1148 loss: 1.1148 2022/07/30 18:14:35 - mmengine - INFO - Epoch(train) [41][300/2505] lr: 5.0000e-05 eta: 12:20:01 time: 1.0926 data_time: 0.4956 memory: 32703 grad_norm: 19.9438 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0984 loss: 1.0984 2022/07/30 18:14:52 - mmengine - INFO - Epoch(train) [41][320/2505] lr: 5.0000e-05 eta: 12:19:40 time: 0.8860 data_time: 0.2937 memory: 32703 grad_norm: 19.5337 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0122 loss: 1.0122 2022/07/30 18:15:13 - mmengine - INFO - Epoch(train) [41][340/2505] lr: 5.0000e-05 eta: 12:19:21 time: 1.0201 data_time: 0.4482 memory: 32703 grad_norm: 18.1555 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8551 loss: 0.8551 2022/07/30 18:15:33 - mmengine - INFO - Epoch(train) [41][360/2505] lr: 5.0000e-05 eta: 12:19:01 time: 1.0147 data_time: 0.4188 memory: 32703 grad_norm: 18.5705 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1046 loss: 1.1046 2022/07/30 18:15:53 - mmengine - INFO - Epoch(train) [41][380/2505] lr: 5.0000e-05 eta: 12:18:41 time: 0.9955 data_time: 0.4082 memory: 32703 grad_norm: 19.5007 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9944 loss: 0.9944 2022/07/30 18:16:12 - mmengine - INFO - Epoch(train) [41][400/2505] lr: 5.0000e-05 eta: 12:18:21 time: 0.9637 data_time: 0.3732 memory: 32703 grad_norm: 18.5198 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8448 loss: 0.8448 2022/07/30 18:16:31 - mmengine - INFO - Epoch(train) [41][420/2505] lr: 5.0000e-05 eta: 12:18:01 time: 0.9273 data_time: 0.3308 memory: 32703 grad_norm: 18.0963 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8626 loss: 0.8626 2022/07/30 18:16:51 - mmengine - INFO - Epoch(train) [41][440/2505] lr: 5.0000e-05 eta: 12:17:41 time: 1.0095 data_time: 0.4164 memory: 32703 grad_norm: 19.4033 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0195 loss: 1.0195 2022/07/30 18:17:09 - mmengine - INFO - Epoch(train) [41][460/2505] lr: 5.0000e-05 eta: 12:17:21 time: 0.9020 data_time: 0.3161 memory: 32703 grad_norm: 18.3129 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9380 loss: 0.9380 2022/07/30 18:17:29 - mmengine - INFO - Epoch(train) [41][480/2505] lr: 5.0000e-05 eta: 12:17:01 time: 1.0037 data_time: 0.3976 memory: 32703 grad_norm: 18.1638 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0021 loss: 1.0021 2022/07/30 18:17:49 - mmengine - INFO - Epoch(train) [41][500/2505] lr: 5.0000e-05 eta: 12:16:41 time: 0.9819 data_time: 0.2665 memory: 32703 grad_norm: 18.2070 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0005 loss: 1.0005 2022/07/30 18:18:09 - mmengine - INFO - Epoch(train) [41][520/2505] lr: 5.0000e-05 eta: 12:16:21 time: 0.9821 data_time: 0.2879 memory: 32703 grad_norm: 18.2535 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9746 loss: 0.9746 2022/07/30 18:18:28 - mmengine - INFO - Epoch(train) [41][540/2505] lr: 5.0000e-05 eta: 12:16:01 time: 0.9610 data_time: 0.2260 memory: 32703 grad_norm: 17.9663 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2547 loss: 1.2547 2022/07/30 18:18:48 - mmengine - INFO - Epoch(train) [41][560/2505] lr: 5.0000e-05 eta: 12:15:41 time: 0.9878 data_time: 0.3710 memory: 32703 grad_norm: 18.0806 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0187 loss: 1.0187 2022/07/30 18:19:06 - mmengine - INFO - Epoch(train) [41][580/2505] lr: 5.0000e-05 eta: 12:15:21 time: 0.9475 data_time: 0.3378 memory: 32703 grad_norm: 18.6819 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1219 loss: 1.1219 2022/07/30 18:19:27 - mmengine - INFO - Epoch(train) [41][600/2505] lr: 5.0000e-05 eta: 12:15:01 time: 1.0234 data_time: 0.3814 memory: 32703 grad_norm: 18.0108 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1811 loss: 1.1811 2022/07/30 18:19:47 - mmengine - INFO - Epoch(train) [41][620/2505] lr: 5.0000e-05 eta: 12:14:41 time: 0.9956 data_time: 0.2620 memory: 32703 grad_norm: 19.1576 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9612 loss: 0.9612 2022/07/30 18:20:06 - mmengine - INFO - Epoch(train) [41][640/2505] lr: 5.0000e-05 eta: 12:14:21 time: 0.9472 data_time: 0.1959 memory: 32703 grad_norm: 18.2721 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1006 loss: 1.1006 2022/07/30 18:20:26 - mmengine - INFO - Epoch(train) [41][660/2505] lr: 5.0000e-05 eta: 12:14:02 time: 1.0051 data_time: 0.2935 memory: 32703 grad_norm: 18.8621 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9223 loss: 0.9223 2022/07/30 18:20:45 - mmengine - INFO - Epoch(train) [41][680/2505] lr: 5.0000e-05 eta: 12:13:41 time: 0.9629 data_time: 0.3109 memory: 32703 grad_norm: 18.4531 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0232 loss: 1.0232 2022/07/30 18:21:04 - mmengine - INFO - Epoch(train) [41][700/2505] lr: 5.0000e-05 eta: 12:13:21 time: 0.9429 data_time: 0.2863 memory: 32703 grad_norm: 18.6883 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0030 loss: 1.0030 2022/07/30 18:21:25 - mmengine - INFO - Epoch(train) [41][720/2505] lr: 5.0000e-05 eta: 12:13:02 time: 1.0556 data_time: 0.4582 memory: 32703 grad_norm: 18.6950 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.1298 loss: 1.1298 2022/07/30 18:21:44 - mmengine - INFO - Epoch(train) [41][740/2505] lr: 5.0000e-05 eta: 12:12:42 time: 0.9345 data_time: 0.3302 memory: 32703 grad_norm: 18.6492 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1360 loss: 1.1360 2022/07/30 18:22:03 - mmengine - INFO - Epoch(train) [41][760/2505] lr: 5.0000e-05 eta: 12:12:22 time: 0.9675 data_time: 0.3850 memory: 32703 grad_norm: 18.9092 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2957 loss: 1.2957 2022/07/30 18:22:21 - mmengine - INFO - Epoch(train) [41][780/2505] lr: 5.0000e-05 eta: 12:12:01 time: 0.9003 data_time: 0.2399 memory: 32703 grad_norm: 19.2984 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9754 loss: 0.9754 2022/07/30 18:22:41 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 18:22:41 - mmengine - INFO - Epoch(train) [41][800/2505] lr: 5.0000e-05 eta: 12:11:41 time: 1.0103 data_time: 0.2822 memory: 32703 grad_norm: 18.3981 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1359 loss: 1.1359 2022/07/30 18:23:01 - mmengine - INFO - Epoch(train) [41][820/2505] lr: 5.0000e-05 eta: 12:11:22 time: 1.0010 data_time: 0.1449 memory: 32703 grad_norm: 18.9851 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2444 loss: 1.2444 2022/07/30 18:23:20 - mmengine - INFO - Epoch(train) [41][840/2505] lr: 5.0000e-05 eta: 12:11:01 time: 0.9194 data_time: 0.1974 memory: 32703 grad_norm: 18.2688 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9109 loss: 0.9109 2022/07/30 18:23:39 - mmengine - INFO - Epoch(train) [41][860/2505] lr: 5.0000e-05 eta: 12:10:41 time: 0.9406 data_time: 0.2836 memory: 32703 grad_norm: 17.7300 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1490 loss: 1.1490 2022/07/30 18:24:00 - mmengine - INFO - Epoch(train) [41][880/2505] lr: 5.0000e-05 eta: 12:10:22 time: 1.0429 data_time: 0.2754 memory: 32703 grad_norm: 18.6054 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8987 loss: 0.8987 2022/07/30 18:24:18 - mmengine - INFO - Epoch(train) [41][900/2505] lr: 5.0000e-05 eta: 12:10:01 time: 0.9132 data_time: 0.2177 memory: 32703 grad_norm: 19.0013 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0833 loss: 1.0833 2022/07/30 18:24:40 - mmengine - INFO - Epoch(train) [41][920/2505] lr: 5.0000e-05 eta: 12:09:42 time: 1.1065 data_time: 0.3663 memory: 32703 grad_norm: 18.2500 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0359 loss: 1.0359 2022/07/30 18:24:58 - mmengine - INFO - Epoch(train) [41][940/2505] lr: 5.0000e-05 eta: 12:09:22 time: 0.9062 data_time: 0.2166 memory: 32703 grad_norm: 18.4837 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.0732 loss: 1.0732 2022/07/30 18:25:20 - mmengine - INFO - Epoch(train) [41][960/2505] lr: 5.0000e-05 eta: 12:09:03 time: 1.0837 data_time: 0.2333 memory: 32703 grad_norm: 19.3804 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9831 loss: 0.9831 2022/07/30 18:25:38 - mmengine - INFO - Epoch(train) [41][980/2505] lr: 5.0000e-05 eta: 12:08:42 time: 0.9016 data_time: 0.1436 memory: 32703 grad_norm: 17.9442 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0371 loss: 1.0371 2022/07/30 18:25:59 - mmengine - INFO - Epoch(train) [41][1000/2505] lr: 5.0000e-05 eta: 12:08:23 time: 1.0751 data_time: 0.1997 memory: 32703 grad_norm: 19.0867 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2711 loss: 1.2711 2022/07/30 18:26:18 - mmengine - INFO - Epoch(train) [41][1020/2505] lr: 5.0000e-05 eta: 12:08:03 time: 0.9481 data_time: 0.0814 memory: 32703 grad_norm: 18.0533 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0565 loss: 1.0565 2022/07/30 18:26:38 - mmengine - INFO - Epoch(train) [41][1040/2505] lr: 5.0000e-05 eta: 12:07:43 time: 0.9868 data_time: 0.0517 memory: 32703 grad_norm: 18.5988 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1233 loss: 1.1233 2022/07/30 18:26:57 - mmengine - INFO - Epoch(train) [41][1060/2505] lr: 5.0000e-05 eta: 12:07:22 time: 0.9300 data_time: 0.1035 memory: 32703 grad_norm: 19.5107 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9830 loss: 0.9830 2022/07/30 18:27:17 - mmengine - INFO - Epoch(train) [41][1080/2505] lr: 5.0000e-05 eta: 12:07:03 time: 1.0008 data_time: 0.1183 memory: 32703 grad_norm: 18.0111 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8671 loss: 0.8671 2022/07/30 18:27:36 - mmengine - INFO - Epoch(train) [41][1100/2505] lr: 5.0000e-05 eta: 12:06:43 time: 0.9758 data_time: 0.2082 memory: 32703 grad_norm: 18.2888 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0611 loss: 1.0611 2022/07/30 18:27:56 - mmengine - INFO - Epoch(train) [41][1120/2505] lr: 5.0000e-05 eta: 12:06:23 time: 0.9693 data_time: 0.1928 memory: 32703 grad_norm: 18.3998 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8805 loss: 0.8805 2022/07/30 18:28:15 - mmengine - INFO - Epoch(train) [41][1140/2505] lr: 5.0000e-05 eta: 12:06:03 time: 0.9548 data_time: 0.2293 memory: 32703 grad_norm: 18.7969 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9591 loss: 0.9591 2022/07/30 18:28:34 - mmengine - INFO - Epoch(train) [41][1160/2505] lr: 5.0000e-05 eta: 12:05:43 time: 0.9888 data_time: 0.1988 memory: 32703 grad_norm: 18.5239 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0009 loss: 1.0009 2022/07/30 18:28:55 - mmengine - INFO - Epoch(train) [41][1180/2505] lr: 5.0000e-05 eta: 12:05:23 time: 1.0177 data_time: 0.2972 memory: 32703 grad_norm: 19.4406 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2452 loss: 1.2452 2022/07/30 18:29:14 - mmengine - INFO - Epoch(train) [41][1200/2505] lr: 5.0000e-05 eta: 12:05:03 time: 0.9613 data_time: 0.1726 memory: 32703 grad_norm: 18.4623 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0611 loss: 1.0611 2022/07/30 18:29:34 - mmengine - INFO - Epoch(train) [41][1220/2505] lr: 5.0000e-05 eta: 12:04:43 time: 1.0008 data_time: 0.2369 memory: 32703 grad_norm: 18.5138 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0326 loss: 1.0326 2022/07/30 18:29:54 - mmengine - INFO - Epoch(train) [41][1240/2505] lr: 5.0000e-05 eta: 12:04:23 time: 0.9792 data_time: 0.1451 memory: 32703 grad_norm: 18.6566 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8503 loss: 0.8503 2022/07/30 18:30:14 - mmengine - INFO - Epoch(train) [41][1260/2505] lr: 5.0000e-05 eta: 12:04:04 time: 0.9940 data_time: 0.1750 memory: 32703 grad_norm: 18.5351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9179 loss: 0.9179 2022/07/30 18:30:34 - mmengine - INFO - Epoch(train) [41][1280/2505] lr: 5.0000e-05 eta: 12:03:44 time: 1.0184 data_time: 0.1416 memory: 32703 grad_norm: 19.4689 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0078 loss: 1.0078 2022/07/30 18:30:52 - mmengine - INFO - Epoch(train) [41][1300/2505] lr: 5.0000e-05 eta: 12:03:23 time: 0.8852 data_time: 0.0821 memory: 32703 grad_norm: 18.4684 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0652 loss: 1.0652 2022/07/30 18:31:14 - mmengine - INFO - Epoch(train) [41][1320/2505] lr: 5.0000e-05 eta: 12:03:04 time: 1.1002 data_time: 0.0287 memory: 32703 grad_norm: 19.5265 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9366 loss: 0.9366 2022/07/30 18:31:31 - mmengine - INFO - Epoch(train) [41][1340/2505] lr: 5.0000e-05 eta: 12:02:44 time: 0.8738 data_time: 0.0283 memory: 32703 grad_norm: 18.1114 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9206 loss: 0.9206 2022/07/30 18:31:55 - mmengine - INFO - Epoch(train) [41][1360/2505] lr: 5.0000e-05 eta: 12:02:25 time: 1.1739 data_time: 0.0285 memory: 32703 grad_norm: 18.7758 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7118 loss: 0.7118 2022/07/30 18:32:11 - mmengine - INFO - Epoch(train) [41][1380/2505] lr: 5.0000e-05 eta: 12:02:04 time: 0.8351 data_time: 0.0256 memory: 32703 grad_norm: 18.5749 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0521 loss: 1.0521 2022/07/30 18:32:32 - mmengine - INFO - Epoch(train) [41][1400/2505] lr: 5.0000e-05 eta: 12:01:45 time: 1.0190 data_time: 0.0321 memory: 32703 grad_norm: 18.7051 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2168 loss: 1.2168 2022/07/30 18:32:50 - mmengine - INFO - Epoch(train) [41][1420/2505] lr: 5.0000e-05 eta: 12:01:24 time: 0.8976 data_time: 0.0307 memory: 32703 grad_norm: 18.6402 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8654 loss: 0.8654 2022/07/30 18:33:11 - mmengine - INFO - Epoch(train) [41][1440/2505] lr: 5.0000e-05 eta: 12:01:05 time: 1.0829 data_time: 0.0276 memory: 32703 grad_norm: 18.0275 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.7990 loss: 0.7990 2022/07/30 18:33:30 - mmengine - INFO - Epoch(train) [41][1460/2505] lr: 5.0000e-05 eta: 12:00:44 time: 0.9099 data_time: 0.0292 memory: 32703 grad_norm: 18.0090 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.7884 loss: 0.7884 2022/07/30 18:33:51 - mmengine - INFO - Epoch(train) [41][1480/2505] lr: 5.0000e-05 eta: 12:00:25 time: 1.0584 data_time: 0.0339 memory: 32703 grad_norm: 19.1550 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1525 loss: 1.1525 2022/07/30 18:34:09 - mmengine - INFO - Epoch(train) [41][1500/2505] lr: 5.0000e-05 eta: 12:00:04 time: 0.8896 data_time: 0.0266 memory: 32703 grad_norm: 18.7423 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0618 loss: 1.0618 2022/07/30 18:34:29 - mmengine - INFO - Epoch(train) [41][1520/2505] lr: 5.0000e-05 eta: 11:59:45 time: 1.0444 data_time: 0.0314 memory: 32703 grad_norm: 17.5937 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1214 loss: 1.1214 2022/07/30 18:34:47 - mmengine - INFO - Epoch(train) [41][1540/2505] lr: 5.0000e-05 eta: 11:59:24 time: 0.8828 data_time: 0.0268 memory: 32703 grad_norm: 18.5242 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7912 loss: 0.7912 2022/07/30 18:35:09 - mmengine - INFO - Epoch(train) [41][1560/2505] lr: 5.0000e-05 eta: 11:59:05 time: 1.0810 data_time: 0.0307 memory: 32703 grad_norm: 18.5554 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0946 loss: 1.0946 2022/07/30 18:35:27 - mmengine - INFO - Epoch(train) [41][1580/2505] lr: 5.0000e-05 eta: 11:58:45 time: 0.9135 data_time: 0.0256 memory: 32703 grad_norm: 18.2990 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1541 loss: 1.1541 2022/07/30 18:35:47 - mmengine - INFO - Epoch(train) [41][1600/2505] lr: 5.0000e-05 eta: 11:58:25 time: 1.0141 data_time: 0.0320 memory: 32703 grad_norm: 18.6199 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1451 loss: 1.1451 2022/07/30 18:36:07 - mmengine - INFO - Epoch(train) [41][1620/2505] lr: 5.0000e-05 eta: 11:58:05 time: 0.9734 data_time: 0.0281 memory: 32703 grad_norm: 19.1852 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2182 loss: 1.2182 2022/07/30 18:36:27 - mmengine - INFO - Epoch(train) [41][1640/2505] lr: 5.0000e-05 eta: 11:57:45 time: 1.0028 data_time: 0.0313 memory: 32703 grad_norm: 17.9511 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9159 loss: 0.9159 2022/07/30 18:36:46 - mmengine - INFO - Epoch(train) [41][1660/2505] lr: 5.0000e-05 eta: 11:57:25 time: 0.9556 data_time: 0.0294 memory: 32703 grad_norm: 18.2731 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9588 loss: 0.9588 2022/07/30 18:37:05 - mmengine - INFO - Epoch(train) [41][1680/2505] lr: 5.0000e-05 eta: 11:57:05 time: 0.9743 data_time: 0.0284 memory: 32703 grad_norm: 18.5466 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9108 loss: 0.9108 2022/07/30 18:37:27 - mmengine - INFO - Epoch(train) [41][1700/2505] lr: 5.0000e-05 eta: 11:56:46 time: 1.0533 data_time: 0.0300 memory: 32703 grad_norm: 18.2668 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0698 loss: 1.0698 2022/07/30 18:37:45 - mmengine - INFO - Epoch(train) [41][1720/2505] lr: 5.0000e-05 eta: 11:56:26 time: 0.9145 data_time: 0.0314 memory: 32703 grad_norm: 18.1351 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9566 loss: 0.9566 2022/07/30 18:38:05 - mmengine - INFO - Epoch(train) [41][1740/2505] lr: 5.0000e-05 eta: 11:56:06 time: 1.0201 data_time: 0.0294 memory: 32703 grad_norm: 18.3391 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1408 loss: 1.1408 2022/07/30 18:38:25 - mmengine - INFO - Epoch(train) [41][1760/2505] lr: 5.0000e-05 eta: 11:55:46 time: 0.9672 data_time: 0.0292 memory: 32703 grad_norm: 18.0502 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8781 loss: 0.8781 2022/07/30 18:38:45 - mmengine - INFO - Epoch(train) [41][1780/2505] lr: 5.0000e-05 eta: 11:55:26 time: 1.0084 data_time: 0.0344 memory: 32703 grad_norm: 19.8183 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.0655 loss: 1.0655 2022/07/30 18:39:03 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 18:39:03 - mmengine - INFO - Epoch(train) [41][1800/2505] lr: 5.0000e-05 eta: 11:55:06 time: 0.9369 data_time: 0.0288 memory: 32703 grad_norm: 19.2253 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8826 loss: 0.8826 2022/07/30 18:39:24 - mmengine - INFO - Epoch(train) [41][1820/2505] lr: 5.0000e-05 eta: 11:54:47 time: 1.0244 data_time: 0.0280 memory: 32703 grad_norm: 18.7895 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8660 loss: 0.8660 2022/07/30 18:39:42 - mmengine - INFO - Epoch(train) [41][1840/2505] lr: 5.0000e-05 eta: 11:54:26 time: 0.9144 data_time: 0.0288 memory: 32703 grad_norm: 18.3123 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1308 loss: 1.1308 2022/07/30 18:40:03 - mmengine - INFO - Epoch(train) [41][1860/2505] lr: 5.0000e-05 eta: 11:54:07 time: 1.0427 data_time: 0.0281 memory: 32703 grad_norm: 18.6140 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9655 loss: 0.9655 2022/07/30 18:40:24 - mmengine - INFO - Epoch(train) [41][1880/2505] lr: 5.0000e-05 eta: 11:53:47 time: 1.0305 data_time: 0.0402 memory: 32703 grad_norm: 18.6532 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0462 loss: 1.0462 2022/07/30 18:40:43 - mmengine - INFO - Epoch(train) [41][1900/2505] lr: 5.0000e-05 eta: 11:53:27 time: 0.9668 data_time: 0.0269 memory: 32703 grad_norm: 18.2454 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9492 loss: 0.9492 2022/07/30 18:41:04 - mmengine - INFO - Epoch(train) [41][1920/2505] lr: 5.0000e-05 eta: 11:53:08 time: 1.0287 data_time: 0.0298 memory: 32703 grad_norm: 18.4775 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9295 loss: 0.9295 2022/07/30 18:41:21 - mmengine - INFO - Epoch(train) [41][1940/2505] lr: 5.0000e-05 eta: 11:52:47 time: 0.8723 data_time: 0.0263 memory: 32703 grad_norm: 18.3575 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0539 loss: 1.0539 2022/07/30 18:41:41 - mmengine - INFO - Epoch(train) [41][1960/2505] lr: 5.0000e-05 eta: 11:52:27 time: 0.9852 data_time: 0.0277 memory: 32703 grad_norm: 18.9157 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0735 loss: 1.0735 2022/07/30 18:42:00 - mmengine - INFO - Epoch(train) [41][1980/2505] lr: 5.0000e-05 eta: 11:52:07 time: 0.9467 data_time: 0.0304 memory: 32703 grad_norm: 18.5231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9518 loss: 0.9518 2022/07/30 18:42:20 - mmengine - INFO - Epoch(train) [41][2000/2505] lr: 5.0000e-05 eta: 11:51:47 time: 1.0204 data_time: 0.0280 memory: 32703 grad_norm: 18.2658 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 0.9827 loss: 0.9827 2022/07/30 18:42:39 - mmengine - INFO - Epoch(train) [41][2020/2505] lr: 5.0000e-05 eta: 11:51:27 time: 0.9396 data_time: 0.0279 memory: 32703 grad_norm: 18.2644 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0287 loss: 1.0287 2022/07/30 18:42:59 - mmengine - INFO - Epoch(train) [41][2040/2505] lr: 5.0000e-05 eta: 11:51:07 time: 0.9902 data_time: 0.0277 memory: 32703 grad_norm: 18.6961 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1271 loss: 1.1271 2022/07/30 18:43:18 - mmengine - INFO - Epoch(train) [41][2060/2505] lr: 5.0000e-05 eta: 11:50:47 time: 0.9794 data_time: 0.0292 memory: 32703 grad_norm: 18.7618 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9364 loss: 0.9364 2022/07/30 18:43:37 - mmengine - INFO - Epoch(train) [41][2080/2505] lr: 5.0000e-05 eta: 11:50:27 time: 0.9499 data_time: 0.0295 memory: 32703 grad_norm: 19.2928 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9509 loss: 0.9509 2022/07/30 18:43:57 - mmengine - INFO - Epoch(train) [41][2100/2505] lr: 5.0000e-05 eta: 11:50:07 time: 0.9823 data_time: 0.0290 memory: 32703 grad_norm: 18.8197 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2096 loss: 1.2096 2022/07/30 18:44:17 - mmengine - INFO - Epoch(train) [41][2120/2505] lr: 5.0000e-05 eta: 11:49:47 time: 0.9801 data_time: 0.0281 memory: 32703 grad_norm: 18.5197 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0693 loss: 1.0693 2022/07/30 18:44:37 - mmengine - INFO - Epoch(train) [41][2140/2505] lr: 5.0000e-05 eta: 11:49:28 time: 1.0173 data_time: 0.0300 memory: 32703 grad_norm: 18.6110 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7238 loss: 0.7238 2022/07/30 18:44:57 - mmengine - INFO - Epoch(train) [41][2160/2505] lr: 5.0000e-05 eta: 11:49:08 time: 0.9911 data_time: 0.0284 memory: 32703 grad_norm: 18.8987 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8701 loss: 0.8701 2022/07/30 18:45:17 - mmengine - INFO - Epoch(train) [41][2180/2505] lr: 5.0000e-05 eta: 11:48:48 time: 0.9853 data_time: 0.0268 memory: 32703 grad_norm: 19.1300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0141 loss: 1.0141 2022/07/30 18:45:36 - mmengine - INFO - Epoch(train) [41][2200/2505] lr: 5.0000e-05 eta: 11:48:28 time: 0.9843 data_time: 0.0271 memory: 32703 grad_norm: 18.2161 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0018 loss: 1.0018 2022/07/30 18:45:56 - mmengine - INFO - Epoch(train) [41][2220/2505] lr: 5.0000e-05 eta: 11:48:08 time: 0.9869 data_time: 0.0271 memory: 32703 grad_norm: 18.2930 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8809 loss: 0.8809 2022/07/30 18:46:15 - mmengine - INFO - Epoch(train) [41][2240/2505] lr: 5.0000e-05 eta: 11:47:48 time: 0.9630 data_time: 0.0291 memory: 32703 grad_norm: 18.3880 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8557 loss: 0.8557 2022/07/30 18:46:35 - mmengine - INFO - Epoch(train) [41][2260/2505] lr: 5.0000e-05 eta: 11:47:28 time: 0.9899 data_time: 0.0276 memory: 32703 grad_norm: 17.8081 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0537 loss: 1.0537 2022/07/30 18:46:54 - mmengine - INFO - Epoch(train) [41][2280/2505] lr: 5.0000e-05 eta: 11:47:08 time: 0.9561 data_time: 0.0290 memory: 32703 grad_norm: 19.0457 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2391 loss: 1.2391 2022/07/30 18:47:13 - mmengine - INFO - Epoch(train) [41][2300/2505] lr: 5.0000e-05 eta: 11:46:48 time: 0.9222 data_time: 0.0328 memory: 32703 grad_norm: 18.4182 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9905 loss: 0.9905 2022/07/30 18:47:34 - mmengine - INFO - Epoch(train) [41][2320/2505] lr: 5.0000e-05 eta: 11:46:28 time: 1.0546 data_time: 0.0400 memory: 32703 grad_norm: 19.4619 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9094 loss: 0.9094 2022/07/30 18:47:52 - mmengine - INFO - Epoch(train) [41][2340/2505] lr: 5.0000e-05 eta: 11:46:08 time: 0.9023 data_time: 0.0283 memory: 32703 grad_norm: 19.5706 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9395 loss: 0.9395 2022/07/30 18:48:13 - mmengine - INFO - Epoch(train) [41][2360/2505] lr: 5.0000e-05 eta: 11:45:49 time: 1.0720 data_time: 0.0257 memory: 32703 grad_norm: 19.2818 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1715 loss: 1.1715 2022/07/30 18:48:32 - mmengine - INFO - Epoch(train) [41][2380/2505] lr: 5.0000e-05 eta: 11:45:28 time: 0.9129 data_time: 0.0334 memory: 32703 grad_norm: 19.1795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9390 loss: 0.9390 2022/07/30 18:48:53 - mmengine - INFO - Epoch(train) [41][2400/2505] lr: 5.0000e-05 eta: 11:45:09 time: 1.0494 data_time: 0.0276 memory: 32703 grad_norm: 18.1898 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0249 loss: 1.0249 2022/07/30 18:49:11 - mmengine - INFO - Epoch(train) [41][2420/2505] lr: 5.0000e-05 eta: 11:44:49 time: 0.9326 data_time: 0.0321 memory: 32703 grad_norm: 18.6026 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0805 loss: 1.0805 2022/07/30 18:49:31 - mmengine - INFO - Epoch(train) [41][2440/2505] lr: 5.0000e-05 eta: 11:44:29 time: 0.9898 data_time: 0.0258 memory: 32703 grad_norm: 19.5489 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0915 loss: 1.0915 2022/07/30 18:49:50 - mmengine - INFO - Epoch(train) [41][2460/2505] lr: 5.0000e-05 eta: 11:44:09 time: 0.9486 data_time: 0.0383 memory: 32703 grad_norm: 18.7237 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9081 loss: 0.9081 2022/07/30 18:50:13 - mmengine - INFO - Epoch(train) [41][2480/2505] lr: 5.0000e-05 eta: 11:43:50 time: 1.1325 data_time: 0.1707 memory: 32703 grad_norm: 18.1448 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0006 loss: 1.0006 2022/07/30 18:50:28 - mmengine - INFO - Epoch(train) [41][2500/2505] lr: 5.0000e-05 eta: 11:43:28 time: 0.7809 data_time: 0.0325 memory: 32703 grad_norm: 19.0828 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2300 loss: 1.2300 2022/07/30 18:50:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 18:50:31 - mmengine - INFO - Epoch(train) [41][2505/2505] lr: 5.0000e-05 eta: 11:43:28 time: 0.7514 data_time: 0.0254 memory: 32703 grad_norm: 19.2195 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1603 loss: 1.1603 2022/07/30 18:50:58 - mmengine - INFO - Epoch(train) [42][20/2505] lr: 5.0000e-05 eta: 11:43:05 time: 1.3483 data_time: 0.7648 memory: 32703 grad_norm: 18.8716 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0540 loss: 1.0540 2022/07/30 18:51:17 - mmengine - INFO - Epoch(train) [42][40/2505] lr: 5.0000e-05 eta: 11:42:45 time: 0.9656 data_time: 0.3400 memory: 32703 grad_norm: 19.1931 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1291 loss: 1.1291 2022/07/30 18:51:38 - mmengine - INFO - Epoch(train) [42][60/2505] lr: 5.0000e-05 eta: 11:42:25 time: 1.0540 data_time: 0.3969 memory: 32703 grad_norm: 18.7639 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9836 loss: 0.9836 2022/07/30 18:51:57 - mmengine - INFO - Epoch(train) [42][80/2505] lr: 5.0000e-05 eta: 11:42:05 time: 0.9309 data_time: 0.3149 memory: 32703 grad_norm: 19.3428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9393 loss: 0.9393 2022/07/30 18:52:17 - mmengine - INFO - Epoch(train) [42][100/2505] lr: 5.0000e-05 eta: 11:41:45 time: 1.0214 data_time: 0.4276 memory: 32703 grad_norm: 18.3929 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9909 loss: 0.9909 2022/07/30 18:52:35 - mmengine - INFO - Epoch(train) [42][120/2505] lr: 5.0000e-05 eta: 11:41:25 time: 0.8959 data_time: 0.2899 memory: 32703 grad_norm: 18.5980 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 0.9991 loss: 0.9991 2022/07/30 18:52:57 - mmengine - INFO - Epoch(train) [42][140/2505] lr: 5.0000e-05 eta: 11:41:05 time: 1.0577 data_time: 0.4406 memory: 32703 grad_norm: 18.7168 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0888 loss: 1.0888 2022/07/30 18:53:15 - mmengine - INFO - Epoch(train) [42][160/2505] lr: 5.0000e-05 eta: 11:40:45 time: 0.9335 data_time: 0.3394 memory: 32703 grad_norm: 18.4523 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0922 loss: 1.0922 2022/07/30 18:53:37 - mmengine - INFO - Epoch(train) [42][180/2505] lr: 5.0000e-05 eta: 11:40:26 time: 1.0788 data_time: 0.4862 memory: 32703 grad_norm: 18.9991 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9957 loss: 0.9957 2022/07/30 18:53:54 - mmengine - INFO - Epoch(train) [42][200/2505] lr: 5.0000e-05 eta: 11:40:05 time: 0.8766 data_time: 0.2891 memory: 32703 grad_norm: 18.7518 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9170 loss: 0.9170 2022/07/30 18:54:16 - mmengine - INFO - Epoch(train) [42][220/2505] lr: 5.0000e-05 eta: 11:39:46 time: 1.0720 data_time: 0.4770 memory: 32703 grad_norm: 19.4346 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8776 loss: 0.8776 2022/07/30 18:54:33 - mmengine - INFO - Epoch(train) [42][240/2505] lr: 5.0000e-05 eta: 11:39:25 time: 0.8823 data_time: 0.2702 memory: 32703 grad_norm: 18.7870 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8386 loss: 0.8386 2022/07/30 18:54:57 - mmengine - INFO - Epoch(train) [42][260/2505] lr: 5.0000e-05 eta: 11:39:07 time: 1.1829 data_time: 0.3401 memory: 32703 grad_norm: 19.0490 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0791 loss: 1.0791 2022/07/30 18:55:14 - mmengine - INFO - Epoch(train) [42][280/2505] lr: 5.0000e-05 eta: 11:38:46 time: 0.8303 data_time: 0.0458 memory: 32703 grad_norm: 19.2144 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1275 loss: 1.1275 2022/07/30 18:55:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 18:55:37 - mmengine - INFO - Epoch(train) [42][300/2505] lr: 5.0000e-05 eta: 11:38:27 time: 1.1477 data_time: 0.0299 memory: 32703 grad_norm: 18.6577 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0406 loss: 1.0406 2022/07/30 18:55:54 - mmengine - INFO - Epoch(train) [42][320/2505] lr: 5.0000e-05 eta: 11:38:07 time: 0.8575 data_time: 0.0282 memory: 32703 grad_norm: 18.3175 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9927 loss: 0.9927 2022/07/30 18:56:15 - mmengine - INFO - Epoch(train) [42][340/2505] lr: 5.0000e-05 eta: 11:37:47 time: 1.0373 data_time: 0.0277 memory: 32703 grad_norm: 18.5857 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9944 loss: 0.9944 2022/07/30 18:56:32 - mmengine - INFO - Epoch(train) [42][360/2505] lr: 5.0000e-05 eta: 11:37:26 time: 0.8698 data_time: 0.0307 memory: 32703 grad_norm: 18.0698 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0610 loss: 1.0610 2022/07/30 18:56:53 - mmengine - INFO - Epoch(train) [42][380/2505] lr: 5.0000e-05 eta: 11:37:07 time: 1.0314 data_time: 0.0293 memory: 32703 grad_norm: 18.3787 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8587 loss: 0.8587 2022/07/30 18:57:11 - mmengine - INFO - Epoch(train) [42][400/2505] lr: 5.0000e-05 eta: 11:36:46 time: 0.8988 data_time: 0.0291 memory: 32703 grad_norm: 18.9346 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0635 loss: 1.0635 2022/07/30 18:57:32 - mmengine - INFO - Epoch(train) [42][420/2505] lr: 5.0000e-05 eta: 11:36:27 time: 1.0519 data_time: 0.0357 memory: 32703 grad_norm: 18.4407 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0586 loss: 1.0586 2022/07/30 18:57:50 - mmengine - INFO - Epoch(train) [42][440/2505] lr: 5.0000e-05 eta: 11:36:07 time: 0.9254 data_time: 0.0735 memory: 32703 grad_norm: 18.9836 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0924 loss: 1.0924 2022/07/30 18:58:11 - mmengine - INFO - Epoch(train) [42][460/2505] lr: 5.0000e-05 eta: 11:35:47 time: 1.0441 data_time: 0.1111 memory: 32703 grad_norm: 18.4858 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.7913 loss: 0.7913 2022/07/30 18:58:29 - mmengine - INFO - Epoch(train) [42][480/2505] lr: 5.0000e-05 eta: 11:35:27 time: 0.9070 data_time: 0.1052 memory: 32703 grad_norm: 19.0425 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9324 loss: 0.9324 2022/07/30 18:58:51 - mmengine - INFO - Epoch(train) [42][500/2505] lr: 5.0000e-05 eta: 11:35:07 time: 1.0700 data_time: 0.0775 memory: 32703 grad_norm: 18.5896 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.1265 loss: 1.1265 2022/07/30 18:59:09 - mmengine - INFO - Epoch(train) [42][520/2505] lr: 5.0000e-05 eta: 11:34:47 time: 0.9140 data_time: 0.0442 memory: 32703 grad_norm: 19.2280 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9152 loss: 0.9152 2022/07/30 18:59:30 - mmengine - INFO - Epoch(train) [42][540/2505] lr: 5.0000e-05 eta: 11:34:28 time: 1.0520 data_time: 0.0290 memory: 32703 grad_norm: 18.2356 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9982 loss: 0.9982 2022/07/30 18:59:48 - mmengine - INFO - Epoch(train) [42][560/2505] lr: 5.0000e-05 eta: 11:34:07 time: 0.9255 data_time: 0.0282 memory: 32703 grad_norm: 18.8422 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9423 loss: 0.9423 2022/07/30 19:00:09 - mmengine - INFO - Epoch(train) [42][580/2505] lr: 5.0000e-05 eta: 11:33:48 time: 1.0469 data_time: 0.0296 memory: 32703 grad_norm: 18.6571 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0416 loss: 1.0416 2022/07/30 19:00:27 - mmengine - INFO - Epoch(train) [42][600/2505] lr: 5.0000e-05 eta: 11:33:27 time: 0.8961 data_time: 0.0266 memory: 32703 grad_norm: 18.8336 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8512 loss: 0.8512 2022/07/30 19:00:48 - mmengine - INFO - Epoch(train) [42][620/2505] lr: 5.0000e-05 eta: 11:33:08 time: 1.0521 data_time: 0.0325 memory: 32703 grad_norm: 18.9959 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1843 loss: 1.1843 2022/07/30 19:01:07 - mmengine - INFO - Epoch(train) [42][640/2505] lr: 5.0000e-05 eta: 11:32:48 time: 0.9115 data_time: 0.0246 memory: 32703 grad_norm: 18.8559 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1373 loss: 1.1373 2022/07/30 19:01:27 - mmengine - INFO - Epoch(train) [42][660/2505] lr: 5.0000e-05 eta: 11:32:28 time: 1.0301 data_time: 0.0460 memory: 32703 grad_norm: 18.3626 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0514 loss: 1.0514 2022/07/30 19:01:46 - mmengine - INFO - Epoch(train) [42][680/2505] lr: 5.0000e-05 eta: 11:32:08 time: 0.9402 data_time: 0.0319 memory: 32703 grad_norm: 17.9939 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8755 loss: 0.8755 2022/07/30 19:02:07 - mmengine - INFO - Epoch(train) [42][700/2505] lr: 5.0000e-05 eta: 11:31:49 time: 1.0569 data_time: 0.0265 memory: 32703 grad_norm: 19.3211 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0818 loss: 1.0818 2022/07/30 19:02:26 - mmengine - INFO - Epoch(train) [42][720/2505] lr: 5.0000e-05 eta: 11:31:28 time: 0.9213 data_time: 0.0277 memory: 32703 grad_norm: 18.3724 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.9777 loss: 0.9777 2022/07/30 19:02:47 - mmengine - INFO - Epoch(train) [42][740/2505] lr: 5.0000e-05 eta: 11:31:09 time: 1.0582 data_time: 0.0337 memory: 32703 grad_norm: 19.4447 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0722 loss: 1.0722 2022/07/30 19:03:04 - mmengine - INFO - Epoch(train) [42][760/2505] lr: 5.0000e-05 eta: 11:30:48 time: 0.8822 data_time: 0.0343 memory: 32703 grad_norm: 18.3336 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7758 loss: 0.7758 2022/07/30 19:03:26 - mmengine - INFO - Epoch(train) [42][780/2505] lr: 5.0000e-05 eta: 11:30:29 time: 1.0917 data_time: 0.0272 memory: 32703 grad_norm: 19.1540 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1657 loss: 1.1657 2022/07/30 19:03:44 - mmengine - INFO - Epoch(train) [42][800/2505] lr: 5.0000e-05 eta: 11:30:08 time: 0.8785 data_time: 0.0308 memory: 32703 grad_norm: 17.9445 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9781 loss: 0.9781 2022/07/30 19:04:05 - mmengine - INFO - Epoch(train) [42][820/2505] lr: 5.0000e-05 eta: 11:29:49 time: 1.0794 data_time: 0.0266 memory: 32703 grad_norm: 18.7469 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9595 loss: 0.9595 2022/07/30 19:04:23 - mmengine - INFO - Epoch(train) [42][840/2505] lr: 5.0000e-05 eta: 11:29:29 time: 0.8940 data_time: 0.0292 memory: 32703 grad_norm: 18.8696 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0832 loss: 1.0832 2022/07/30 19:04:45 - mmengine - INFO - Epoch(train) [42][860/2505] lr: 5.0000e-05 eta: 11:29:10 time: 1.0725 data_time: 0.0299 memory: 32703 grad_norm: 19.6831 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9828 loss: 0.9828 2022/07/30 19:05:02 - mmengine - INFO - Epoch(train) [42][880/2505] lr: 5.0000e-05 eta: 11:28:49 time: 0.8790 data_time: 0.0337 memory: 32703 grad_norm: 19.1015 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1881 loss: 1.1881 2022/07/30 19:05:24 - mmengine - INFO - Epoch(train) [42][900/2505] lr: 5.0000e-05 eta: 11:28:30 time: 1.0949 data_time: 0.0327 memory: 32703 grad_norm: 19.0870 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0892 loss: 1.0892 2022/07/30 19:05:43 - mmengine - INFO - Epoch(train) [42][920/2505] lr: 5.0000e-05 eta: 11:28:09 time: 0.9171 data_time: 0.0293 memory: 32703 grad_norm: 18.8378 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9053 loss: 0.9053 2022/07/30 19:06:04 - mmengine - INFO - Epoch(train) [42][940/2505] lr: 5.0000e-05 eta: 11:27:50 time: 1.0676 data_time: 0.0287 memory: 32703 grad_norm: 19.0359 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8874 loss: 0.8874 2022/07/30 19:06:21 - mmengine - INFO - Epoch(train) [42][960/2505] lr: 5.0000e-05 eta: 11:27:29 time: 0.8351 data_time: 0.0271 memory: 32703 grad_norm: 18.9550 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1455 loss: 1.1455 2022/07/30 19:06:41 - mmengine - INFO - Epoch(train) [42][980/2505] lr: 5.0000e-05 eta: 11:27:10 time: 1.0173 data_time: 0.0277 memory: 32703 grad_norm: 18.7709 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0304 loss: 1.0304 2022/07/30 19:07:00 - mmengine - INFO - Epoch(train) [42][1000/2505] lr: 5.0000e-05 eta: 11:26:50 time: 0.9550 data_time: 0.0282 memory: 32703 grad_norm: 18.8873 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0711 loss: 1.0711 2022/07/30 19:07:20 - mmengine - INFO - Epoch(train) [42][1020/2505] lr: 5.0000e-05 eta: 11:26:30 time: 1.0087 data_time: 0.0277 memory: 32703 grad_norm: 18.7201 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9292 loss: 0.9292 2022/07/30 19:07:40 - mmengine - INFO - Epoch(train) [42][1040/2505] lr: 5.0000e-05 eta: 11:26:10 time: 0.9953 data_time: 0.0284 memory: 32703 grad_norm: 18.7884 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2661 loss: 1.2661 2022/07/30 19:07:59 - mmengine - INFO - Epoch(train) [42][1060/2505] lr: 5.0000e-05 eta: 11:25:50 time: 0.9273 data_time: 0.0279 memory: 32703 grad_norm: 17.9526 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9832 loss: 0.9832 2022/07/30 19:08:18 - mmengine - INFO - Epoch(train) [42][1080/2505] lr: 5.0000e-05 eta: 11:25:30 time: 0.9767 data_time: 0.0303 memory: 32703 grad_norm: 18.7717 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9063 loss: 0.9063 2022/07/30 19:08:39 - mmengine - INFO - Epoch(train) [42][1100/2505] lr: 5.0000e-05 eta: 11:25:10 time: 1.0098 data_time: 0.0280 memory: 32703 grad_norm: 19.4177 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2324 loss: 1.2324 2022/07/30 19:08:58 - mmengine - INFO - Epoch(train) [42][1120/2505] lr: 5.0000e-05 eta: 11:24:50 time: 0.9817 data_time: 0.0479 memory: 32703 grad_norm: 19.6915 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9702 loss: 0.9702 2022/07/30 19:09:17 - mmengine - INFO - Epoch(train) [42][1140/2505] lr: 5.0000e-05 eta: 11:24:30 time: 0.9330 data_time: 0.0419 memory: 32703 grad_norm: 17.9078 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.0532 loss: 1.0532 2022/07/30 19:09:37 - mmengine - INFO - Epoch(train) [42][1160/2505] lr: 5.0000e-05 eta: 11:24:10 time: 1.0178 data_time: 0.1030 memory: 32703 grad_norm: 18.6007 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9353 loss: 0.9353 2022/07/30 19:09:57 - mmengine - INFO - Epoch(train) [42][1180/2505] lr: 5.0000e-05 eta: 11:23:50 time: 0.9633 data_time: 0.0418 memory: 32703 grad_norm: 18.4954 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0957 loss: 1.0957 2022/07/30 19:10:18 - mmengine - INFO - Epoch(train) [42][1200/2505] lr: 5.0000e-05 eta: 11:23:31 time: 1.0863 data_time: 0.0262 memory: 32703 grad_norm: 18.3778 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9722 loss: 0.9722 2022/07/30 19:10:36 - mmengine - INFO - Epoch(train) [42][1220/2505] lr: 5.0000e-05 eta: 11:23:11 time: 0.9094 data_time: 0.0271 memory: 32703 grad_norm: 19.4084 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9695 loss: 0.9695 2022/07/30 19:10:57 - mmengine - INFO - Epoch(train) [42][1240/2505] lr: 5.0000e-05 eta: 11:22:51 time: 1.0231 data_time: 0.0659 memory: 32703 grad_norm: 19.1053 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1464 loss: 1.1464 2022/07/30 19:11:15 - mmengine - INFO - Epoch(train) [42][1260/2505] lr: 5.0000e-05 eta: 11:22:31 time: 0.9090 data_time: 0.0633 memory: 32703 grad_norm: 18.4436 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9537 loss: 0.9537 2022/07/30 19:11:34 - mmengine - INFO - Epoch(train) [42][1280/2505] lr: 5.0000e-05 eta: 11:22:11 time: 0.9543 data_time: 0.0798 memory: 32703 grad_norm: 18.7529 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8748 loss: 0.8748 2022/07/30 19:11:49 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 19:11:54 - mmengine - INFO - Epoch(train) [42][1300/2505] lr: 5.0000e-05 eta: 11:21:51 time: 0.9953 data_time: 0.0383 memory: 32703 grad_norm: 18.9675 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9523 loss: 0.9523 2022/07/30 19:12:13 - mmengine - INFO - Epoch(train) [42][1320/2505] lr: 5.0000e-05 eta: 11:21:31 time: 0.9344 data_time: 0.0250 memory: 32703 grad_norm: 18.9182 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2869 loss: 1.2869 2022/07/30 19:12:34 - mmengine - INFO - Epoch(train) [42][1340/2505] lr: 5.0000e-05 eta: 11:21:11 time: 1.0429 data_time: 0.0326 memory: 32703 grad_norm: 20.0272 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3515 loss: 1.3515 2022/07/30 19:12:52 - mmengine - INFO - Epoch(train) [42][1360/2505] lr: 5.0000e-05 eta: 11:20:51 time: 0.9155 data_time: 0.0319 memory: 32703 grad_norm: 17.6968 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0221 loss: 1.0221 2022/07/30 19:13:14 - mmengine - INFO - Epoch(train) [42][1380/2505] lr: 5.0000e-05 eta: 11:20:32 time: 1.1033 data_time: 0.0277 memory: 32703 grad_norm: 19.2168 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1377 loss: 1.1377 2022/07/30 19:13:32 - mmengine - INFO - Epoch(train) [42][1400/2505] lr: 5.0000e-05 eta: 11:20:11 time: 0.8731 data_time: 0.0302 memory: 32703 grad_norm: 18.6960 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9287 loss: 0.9287 2022/07/30 19:13:51 - mmengine - INFO - Epoch(train) [42][1420/2505] lr: 5.0000e-05 eta: 11:19:51 time: 0.9943 data_time: 0.0272 memory: 32703 grad_norm: 19.0369 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0162 loss: 1.0162 2022/07/30 19:14:12 - mmengine - INFO - Epoch(train) [42][1440/2505] lr: 5.0000e-05 eta: 11:19:32 time: 1.0079 data_time: 0.0340 memory: 32703 grad_norm: 18.2677 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9831 loss: 0.9831 2022/07/30 19:14:31 - mmengine - INFO - Epoch(train) [42][1460/2505] lr: 5.0000e-05 eta: 11:19:12 time: 0.9890 data_time: 0.0278 memory: 32703 grad_norm: 19.2393 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9123 loss: 0.9123 2022/07/30 19:14:51 - mmengine - INFO - Epoch(train) [42][1480/2505] lr: 5.0000e-05 eta: 11:18:52 time: 0.9629 data_time: 0.0321 memory: 32703 grad_norm: 18.2607 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0931 loss: 1.0931 2022/07/30 19:15:12 - mmengine - INFO - Epoch(train) [42][1500/2505] lr: 5.0000e-05 eta: 11:18:32 time: 1.0629 data_time: 0.0295 memory: 32703 grad_norm: 18.3363 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9488 loss: 0.9488 2022/07/30 19:15:29 - mmengine - INFO - Epoch(train) [42][1520/2505] lr: 5.0000e-05 eta: 11:18:12 time: 0.8705 data_time: 0.0282 memory: 32703 grad_norm: 18.6600 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9539 loss: 0.9539 2022/07/30 19:15:51 - mmengine - INFO - Epoch(train) [42][1540/2505] lr: 5.0000e-05 eta: 11:17:53 time: 1.0956 data_time: 0.0307 memory: 32703 grad_norm: 19.1006 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1610 loss: 1.1610 2022/07/30 19:16:10 - mmengine - INFO - Epoch(train) [42][1560/2505] lr: 5.0000e-05 eta: 11:17:32 time: 0.9240 data_time: 0.0276 memory: 32703 grad_norm: 18.9966 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0941 loss: 1.0941 2022/07/30 19:16:30 - mmengine - INFO - Epoch(train) [42][1580/2505] lr: 5.0000e-05 eta: 11:17:13 time: 1.0177 data_time: 0.0324 memory: 32703 grad_norm: 18.9879 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0451 loss: 1.0451 2022/07/30 19:16:49 - mmengine - INFO - Epoch(train) [42][1600/2505] lr: 5.0000e-05 eta: 11:16:52 time: 0.9218 data_time: 0.0280 memory: 32703 grad_norm: 18.6573 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8957 loss: 0.8957 2022/07/30 19:17:10 - mmengine - INFO - Epoch(train) [42][1620/2505] lr: 5.0000e-05 eta: 11:16:33 time: 1.0654 data_time: 0.0317 memory: 32703 grad_norm: 18.8776 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9719 loss: 0.9719 2022/07/30 19:17:29 - mmengine - INFO - Epoch(train) [42][1640/2505] lr: 5.0000e-05 eta: 11:16:13 time: 0.9373 data_time: 0.0356 memory: 32703 grad_norm: 18.2239 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0582 loss: 1.0582 2022/07/30 19:17:50 - mmengine - INFO - Epoch(train) [42][1660/2505] lr: 5.0000e-05 eta: 11:15:54 time: 1.0864 data_time: 0.0351 memory: 32703 grad_norm: 20.4422 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0011 loss: 1.0011 2022/07/30 19:18:08 - mmengine - INFO - Epoch(train) [42][1680/2505] lr: 5.0000e-05 eta: 11:15:33 time: 0.8848 data_time: 0.0291 memory: 32703 grad_norm: 18.9723 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0869 loss: 1.0869 2022/07/30 19:18:29 - mmengine - INFO - Epoch(train) [42][1700/2505] lr: 5.0000e-05 eta: 11:15:14 time: 1.0539 data_time: 0.0347 memory: 32703 grad_norm: 18.9508 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9689 loss: 0.9689 2022/07/30 19:18:47 - mmengine - INFO - Epoch(train) [42][1720/2505] lr: 5.0000e-05 eta: 11:14:53 time: 0.8921 data_time: 0.0349 memory: 32703 grad_norm: 19.5165 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0408 loss: 1.0408 2022/07/30 19:19:08 - mmengine - INFO - Epoch(train) [42][1740/2505] lr: 5.0000e-05 eta: 11:14:34 time: 1.0453 data_time: 0.0321 memory: 32703 grad_norm: 18.6744 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8681 loss: 0.8681 2022/07/30 19:19:26 - mmengine - INFO - Epoch(train) [42][1760/2505] lr: 5.0000e-05 eta: 11:14:13 time: 0.8840 data_time: 0.0303 memory: 32703 grad_norm: 20.3528 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0248 loss: 1.0248 2022/07/30 19:19:48 - mmengine - INFO - Epoch(train) [42][1780/2505] lr: 5.0000e-05 eta: 11:13:54 time: 1.1000 data_time: 0.0276 memory: 32703 grad_norm: 18.6536 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0403 loss: 1.0403 2022/07/30 19:20:06 - mmengine - INFO - Epoch(train) [42][1800/2505] lr: 5.0000e-05 eta: 11:13:34 time: 0.9155 data_time: 0.0293 memory: 32703 grad_norm: 18.8404 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1231 loss: 1.1231 2022/07/30 19:20:27 - mmengine - INFO - Epoch(train) [42][1820/2505] lr: 5.0000e-05 eta: 11:13:14 time: 1.0460 data_time: 0.0264 memory: 32703 grad_norm: 18.7171 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0478 loss: 1.0478 2022/07/30 19:20:44 - mmengine - INFO - Epoch(train) [42][1840/2505] lr: 5.0000e-05 eta: 11:12:54 time: 0.8834 data_time: 0.0284 memory: 32703 grad_norm: 19.0108 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1009 loss: 1.1009 2022/07/30 19:21:07 - mmengine - INFO - Epoch(train) [42][1860/2505] lr: 5.0000e-05 eta: 11:12:35 time: 1.1100 data_time: 0.0267 memory: 32703 grad_norm: 18.9496 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9520 loss: 0.9520 2022/07/30 19:21:24 - mmengine - INFO - Epoch(train) [42][1880/2505] lr: 5.0000e-05 eta: 11:12:14 time: 0.8781 data_time: 0.0272 memory: 32703 grad_norm: 18.2827 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9435 loss: 0.9435 2022/07/30 19:21:45 - mmengine - INFO - Epoch(train) [42][1900/2505] lr: 5.0000e-05 eta: 11:11:55 time: 1.0314 data_time: 0.0254 memory: 32703 grad_norm: 18.7894 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0566 loss: 1.0566 2022/07/30 19:22:02 - mmengine - INFO - Epoch(train) [42][1920/2505] lr: 5.0000e-05 eta: 11:11:34 time: 0.8580 data_time: 0.0281 memory: 32703 grad_norm: 18.9551 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9852 loss: 0.9852 2022/07/30 19:22:23 - mmengine - INFO - Epoch(train) [42][1940/2505] lr: 5.0000e-05 eta: 11:11:14 time: 1.0302 data_time: 0.0287 memory: 32703 grad_norm: 19.1257 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2165 loss: 1.2165 2022/07/30 19:22:41 - mmengine - INFO - Epoch(train) [42][1960/2505] lr: 5.0000e-05 eta: 11:10:54 time: 0.9250 data_time: 0.0285 memory: 32703 grad_norm: 17.9933 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0781 loss: 1.0781 2022/07/30 19:23:02 - mmengine - INFO - Epoch(train) [42][1980/2505] lr: 5.0000e-05 eta: 11:10:35 time: 1.0466 data_time: 0.0264 memory: 32703 grad_norm: 19.8664 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1143 loss: 1.1143 2022/07/30 19:23:21 - mmengine - INFO - Epoch(train) [42][2000/2505] lr: 5.0000e-05 eta: 11:10:14 time: 0.9427 data_time: 0.0274 memory: 32703 grad_norm: 19.2922 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9462 loss: 0.9462 2022/07/30 19:23:42 - mmengine - INFO - Epoch(train) [42][2020/2505] lr: 5.0000e-05 eta: 11:09:55 time: 1.0477 data_time: 0.0272 memory: 32703 grad_norm: 18.4086 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1434 loss: 1.1434 2022/07/30 19:24:01 - mmengine - INFO - Epoch(train) [42][2040/2505] lr: 5.0000e-05 eta: 11:09:35 time: 0.9369 data_time: 0.0275 memory: 32703 grad_norm: 18.8749 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0215 loss: 1.0215 2022/07/30 19:24:20 - mmengine - INFO - Epoch(train) [42][2060/2505] lr: 5.0000e-05 eta: 11:09:15 time: 0.9667 data_time: 0.0278 memory: 32703 grad_norm: 20.1659 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9551 loss: 0.9551 2022/07/30 19:24:39 - mmengine - INFO - Epoch(train) [42][2080/2505] lr: 5.0000e-05 eta: 11:08:55 time: 0.9368 data_time: 0.0297 memory: 32703 grad_norm: 18.6983 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8408 loss: 0.8408 2022/07/30 19:24:59 - mmengine - INFO - Epoch(train) [42][2100/2505] lr: 5.0000e-05 eta: 11:08:35 time: 1.0128 data_time: 0.0270 memory: 32703 grad_norm: 18.2604 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0118 loss: 1.0118 2022/07/30 19:25:17 - mmengine - INFO - Epoch(train) [42][2120/2505] lr: 5.0000e-05 eta: 11:08:15 time: 0.9133 data_time: 0.0281 memory: 32703 grad_norm: 18.7913 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8153 loss: 0.8153 2022/07/30 19:25:39 - mmengine - INFO - Epoch(train) [42][2140/2505] lr: 5.0000e-05 eta: 11:07:55 time: 1.0668 data_time: 0.0279 memory: 32703 grad_norm: 19.3482 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0937 loss: 1.0937 2022/07/30 19:25:57 - mmengine - INFO - Epoch(train) [42][2160/2505] lr: 5.0000e-05 eta: 11:07:35 time: 0.9150 data_time: 0.0300 memory: 32703 grad_norm: 19.1390 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1288 loss: 1.1288 2022/07/30 19:26:18 - mmengine - INFO - Epoch(train) [42][2180/2505] lr: 5.0000e-05 eta: 11:07:16 time: 1.0698 data_time: 0.0252 memory: 32703 grad_norm: 18.2934 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9597 loss: 0.9597 2022/07/30 19:26:36 - mmengine - INFO - Epoch(train) [42][2200/2505] lr: 5.0000e-05 eta: 11:06:55 time: 0.8915 data_time: 0.0296 memory: 32703 grad_norm: 18.3948 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7393 loss: 0.7393 2022/07/30 19:26:57 - mmengine - INFO - Epoch(train) [42][2220/2505] lr: 5.0000e-05 eta: 11:06:36 time: 1.0616 data_time: 0.0269 memory: 32703 grad_norm: 18.5332 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8888 loss: 0.8888 2022/07/30 19:27:15 - mmengine - INFO - Epoch(train) [42][2240/2505] lr: 5.0000e-05 eta: 11:06:15 time: 0.8763 data_time: 0.0290 memory: 32703 grad_norm: 18.3280 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8600 loss: 0.8600 2022/07/30 19:27:36 - mmengine - INFO - Epoch(train) [42][2260/2505] lr: 5.0000e-05 eta: 11:05:56 time: 1.0455 data_time: 0.0249 memory: 32703 grad_norm: 18.8490 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9908 loss: 0.9908 2022/07/30 19:27:54 - mmengine - INFO - Epoch(train) [42][2280/2505] lr: 5.0000e-05 eta: 11:05:35 time: 0.9270 data_time: 0.0305 memory: 32703 grad_norm: 19.1343 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2018 loss: 1.2018 2022/07/30 19:28:10 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 19:28:16 - mmengine - INFO - Epoch(train) [42][2300/2505] lr: 5.0000e-05 eta: 11:05:16 time: 1.0944 data_time: 0.0338 memory: 32703 grad_norm: 18.8490 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9187 loss: 0.9187 2022/07/30 19:28:34 - mmengine - INFO - Epoch(train) [42][2320/2505] lr: 5.0000e-05 eta: 11:04:56 time: 0.8848 data_time: 0.0307 memory: 32703 grad_norm: 18.3777 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8510 loss: 0.8510 2022/07/30 19:28:55 - mmengine - INFO - Epoch(train) [42][2340/2505] lr: 5.0000e-05 eta: 11:04:36 time: 1.0362 data_time: 0.0270 memory: 32703 grad_norm: 18.0132 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0753 loss: 1.0753 2022/07/30 19:29:13 - mmengine - INFO - Epoch(train) [42][2360/2505] lr: 5.0000e-05 eta: 11:04:16 time: 0.9248 data_time: 0.0319 memory: 32703 grad_norm: 18.8194 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0162 loss: 1.0162 2022/07/30 19:29:34 - mmengine - INFO - Epoch(train) [42][2380/2505] lr: 5.0000e-05 eta: 11:03:56 time: 1.0133 data_time: 0.0274 memory: 32703 grad_norm: 18.9137 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0432 loss: 1.0432 2022/07/30 19:29:52 - mmengine - INFO - Epoch(train) [42][2400/2505] lr: 5.0000e-05 eta: 11:03:36 time: 0.9181 data_time: 0.0329 memory: 32703 grad_norm: 18.0078 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8531 loss: 0.8531 2022/07/30 19:30:14 - mmengine - INFO - Epoch(train) [42][2420/2505] lr: 5.0000e-05 eta: 11:03:17 time: 1.0867 data_time: 0.0321 memory: 32703 grad_norm: 18.5382 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9374 loss: 0.9374 2022/07/30 19:30:32 - mmengine - INFO - Epoch(train) [42][2440/2505] lr: 5.0000e-05 eta: 11:02:56 time: 0.9125 data_time: 0.0287 memory: 32703 grad_norm: 19.2012 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9691 loss: 0.9691 2022/07/30 19:30:52 - mmengine - INFO - Epoch(train) [42][2460/2505] lr: 5.0000e-05 eta: 11:02:37 time: 1.0098 data_time: 0.0274 memory: 32703 grad_norm: 18.7601 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1570 loss: 1.1570 2022/07/30 19:31:11 - mmengine - INFO - Epoch(train) [42][2480/2505] lr: 5.0000e-05 eta: 11:02:16 time: 0.9187 data_time: 0.0319 memory: 32703 grad_norm: 18.8661 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0515 loss: 1.0515 2022/07/30 19:31:28 - mmengine - INFO - Epoch(train) [42][2500/2505] lr: 5.0000e-05 eta: 11:01:56 time: 0.8752 data_time: 0.0267 memory: 32703 grad_norm: 19.0326 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0019 loss: 1.0019 2022/07/30 19:31:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 19:31:31 - mmengine - INFO - Epoch(train) [42][2505/2505] lr: 5.0000e-05 eta: 11:01:56 time: 0.7245 data_time: 0.0192 memory: 32703 grad_norm: 19.1517 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9105 loss: 0.9105 2022/07/30 19:31:31 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/07/30 19:31:39 - mmengine - INFO - Epoch(val) [42][20/2475] eta: 0:04:35 time: 0.1123 data_time: 0.0816 memory: 817 2022/07/30 19:31:40 - mmengine - INFO - Epoch(val) [42][40/2475] eta: 0:03:18 time: 0.0817 data_time: 0.0504 memory: 817 2022/07/30 19:31:43 - mmengine - INFO - Epoch(val) [42][60/2475] eta: 0:04:12 time: 0.1045 data_time: 0.0720 memory: 817 2022/07/30 19:31:44 - mmengine - INFO - Epoch(val) [42][80/2475] eta: 0:02:48 time: 0.0704 data_time: 0.0399 memory: 817 2022/07/30 19:31:46 - mmengine - INFO - Epoch(val) [42][100/2475] eta: 0:03:43 time: 0.0940 data_time: 0.0630 memory: 817 2022/07/30 19:31:47 - mmengine - INFO - Epoch(val) [42][120/2475] eta: 0:02:22 time: 0.0605 data_time: 0.0291 memory: 817 2022/07/30 19:31:49 - mmengine - INFO - Epoch(val) [42][140/2475] eta: 0:02:59 time: 0.0768 data_time: 0.0437 memory: 817 2022/07/30 19:31:50 - mmengine - INFO - Epoch(val) [42][160/2475] eta: 0:03:16 time: 0.0847 data_time: 0.0519 memory: 817 2022/07/30 19:31:52 - mmengine - INFO - Epoch(val) [42][180/2475] eta: 0:03:12 time: 0.0840 data_time: 0.0526 memory: 817 2022/07/30 19:31:54 - mmengine - INFO - Epoch(val) [42][200/2475] eta: 0:03:25 time: 0.0902 data_time: 0.0591 memory: 817 2022/07/30 19:31:55 - mmengine - INFO - Epoch(val) [42][220/2475] eta: 0:02:30 time: 0.0666 data_time: 0.0363 memory: 817 2022/07/30 19:31:57 - mmengine - INFO - Epoch(val) [42][240/2475] eta: 0:03:21 time: 0.0900 data_time: 0.0588 memory: 817 2022/07/30 19:31:58 - mmengine - INFO - Epoch(val) [42][260/2475] eta: 0:02:24 time: 0.0652 data_time: 0.0320 memory: 817 2022/07/30 19:32:00 - mmengine - INFO - Epoch(val) [42][280/2475] eta: 0:02:48 time: 0.0769 data_time: 0.0442 memory: 817 2022/07/30 19:32:01 - mmengine - INFO - Epoch(val) [42][300/2475] eta: 0:02:15 time: 0.0624 data_time: 0.0291 memory: 817 2022/07/30 19:32:03 - mmengine - INFO - Epoch(val) [42][320/2475] eta: 0:03:22 time: 0.0939 data_time: 0.0625 memory: 817 2022/07/30 19:32:04 - mmengine - INFO - Epoch(val) [42][340/2475] eta: 0:02:34 time: 0.0726 data_time: 0.0397 memory: 817 2022/07/30 19:32:06 - mmengine - INFO - Epoch(val) [42][360/2475] eta: 0:02:53 time: 0.0819 data_time: 0.0491 memory: 817 2022/07/30 19:32:07 - mmengine - INFO - Epoch(val) [42][380/2475] eta: 0:02:23 time: 0.0686 data_time: 0.0361 memory: 817 2022/07/30 19:32:09 - mmengine - INFO - Epoch(val) [42][400/2475] eta: 0:03:05 time: 0.0895 data_time: 0.0525 memory: 817 2022/07/30 19:32:10 - mmengine - INFO - Epoch(val) [42][420/2475] eta: 0:01:54 time: 0.0559 data_time: 0.0241 memory: 817 2022/07/30 19:32:12 - mmengine - INFO - Epoch(val) [42][440/2475] eta: 0:03:24 time: 0.1005 data_time: 0.0680 memory: 817 2022/07/30 19:32:14 - mmengine - INFO - Epoch(val) [42][460/2475] eta: 0:02:03 time: 0.0612 data_time: 0.0285 memory: 817 2022/07/30 19:32:15 - mmengine - INFO - Epoch(val) [42][480/2475] eta: 0:03:01 time: 0.0910 data_time: 0.0608 memory: 817 2022/07/30 19:32:17 - mmengine - INFO - Epoch(val) [42][500/2475] eta: 0:01:57 time: 0.0596 data_time: 0.0279 memory: 817 2022/07/30 19:32:19 - mmengine - INFO - Epoch(val) [42][520/2475] eta: 0:03:51 time: 0.1183 data_time: 0.0868 memory: 817 2022/07/30 19:32:20 - mmengine - INFO - Epoch(val) [42][540/2475] eta: 0:02:00 time: 0.0623 data_time: 0.0315 memory: 817 2022/07/30 19:32:22 - mmengine - INFO - Epoch(val) [42][560/2475] eta: 0:02:50 time: 0.0889 data_time: 0.0578 memory: 817 2022/07/30 19:32:23 - mmengine - INFO - Epoch(val) [42][580/2475] eta: 0:02:25 time: 0.0769 data_time: 0.0434 memory: 817 2022/07/30 19:32:25 - mmengine - INFO - Epoch(val) [42][600/2475] eta: 0:02:33 time: 0.0817 data_time: 0.0501 memory: 817 2022/07/30 19:32:27 - mmengine - INFO - Epoch(val) [42][620/2475] eta: 0:02:26 time: 0.0792 data_time: 0.0440 memory: 817 2022/07/30 19:32:30 - mmengine - INFO - Epoch(val) [42][640/2475] eta: 0:04:43 time: 0.1547 data_time: 0.1148 memory: 817 2022/07/30 19:32:31 - mmengine - INFO - Epoch(val) [42][660/2475] eta: 0:01:59 time: 0.0656 data_time: 0.0316 memory: 817 2022/07/30 19:32:33 - mmengine - INFO - Epoch(val) [42][680/2475] eta: 0:02:40 time: 0.0895 data_time: 0.0585 memory: 817 2022/07/30 19:32:34 - mmengine - INFO - Epoch(val) [42][700/2475] eta: 0:02:14 time: 0.0756 data_time: 0.0445 memory: 817 2022/07/30 19:32:36 - mmengine - INFO - Epoch(val) [42][720/2475] eta: 0:02:41 time: 0.0918 data_time: 0.0595 memory: 817 2022/07/30 19:32:38 - mmengine - INFO - Epoch(val) [42][740/2475] eta: 0:01:59 time: 0.0686 data_time: 0.0373 memory: 817 2022/07/30 19:32:39 - mmengine - INFO - Epoch(val) [42][760/2475] eta: 0:02:37 time: 0.0916 data_time: 0.0611 memory: 817 2022/07/30 19:32:41 - mmengine - INFO - Epoch(val) [42][780/2475] eta: 0:01:54 time: 0.0675 data_time: 0.0375 memory: 817 2022/07/30 19:32:43 - mmengine - INFO - Epoch(val) [42][800/2475] eta: 0:02:29 time: 0.0892 data_time: 0.0589 memory: 817 2022/07/30 19:32:44 - mmengine - INFO - Epoch(val) [42][820/2475] eta: 0:02:00 time: 0.0730 data_time: 0.0415 memory: 817 2022/07/30 19:32:46 - mmengine - INFO - Epoch(val) [42][840/2475] eta: 0:02:16 time: 0.0834 data_time: 0.0497 memory: 817 2022/07/30 19:32:47 - mmengine - INFO - Epoch(val) [42][860/2475] eta: 0:02:16 time: 0.0846 data_time: 0.0537 memory: 817 2022/07/30 19:32:49 - mmengine - INFO - Epoch(val) [42][880/2475] eta: 0:01:59 time: 0.0747 data_time: 0.0366 memory: 817 2022/07/30 19:32:50 - mmengine - INFO - Epoch(val) [42][900/2475] eta: 0:02:01 time: 0.0769 data_time: 0.0451 memory: 817 2022/07/30 19:32:52 - mmengine - INFO - Epoch(val) [42][920/2475] eta: 0:02:17 time: 0.0887 data_time: 0.0575 memory: 817 2022/07/30 19:32:54 - mmengine - INFO - Epoch(val) [42][940/2475] eta: 0:01:57 time: 0.0764 data_time: 0.0441 memory: 817 2022/07/30 19:32:56 - mmengine - INFO - Epoch(val) [42][960/2475] eta: 0:02:29 time: 0.0986 data_time: 0.0668 memory: 817 2022/07/30 19:32:57 - mmengine - INFO - Epoch(val) [42][980/2475] eta: 0:01:46 time: 0.0711 data_time: 0.0393 memory: 817 2022/07/30 19:32:59 - mmengine - INFO - Epoch(val) [42][1000/2475] eta: 0:02:04 time: 0.0843 data_time: 0.0521 memory: 817 2022/07/30 19:33:00 - mmengine - INFO - Epoch(val) [42][1020/2475] eta: 0:01:44 time: 0.0719 data_time: 0.0398 memory: 817 2022/07/30 19:33:02 - mmengine - INFO - Epoch(val) [42][1040/2475] eta: 0:02:11 time: 0.0920 data_time: 0.0597 memory: 817 2022/07/30 19:33:04 - mmengine - INFO - Epoch(val) [42][1060/2475] eta: 0:01:40 time: 0.0712 data_time: 0.0382 memory: 817 2022/07/30 19:33:05 - mmengine - INFO - Epoch(val) [42][1080/2475] eta: 0:01:56 time: 0.0832 data_time: 0.0519 memory: 817 2022/07/30 19:33:07 - mmengine - INFO - Epoch(val) [42][1100/2475] eta: 0:01:35 time: 0.0694 data_time: 0.0372 memory: 817 2022/07/30 19:33:08 - mmengine - INFO - Epoch(val) [42][1120/2475] eta: 0:02:00 time: 0.0888 data_time: 0.0507 memory: 817 2022/07/30 19:33:10 - mmengine - INFO - Epoch(val) [42][1140/2475] eta: 0:01:46 time: 0.0798 data_time: 0.0487 memory: 817 2022/07/30 19:33:12 - mmengine - INFO - Epoch(val) [42][1160/2475] eta: 0:01:39 time: 0.0754 data_time: 0.0441 memory: 817 2022/07/30 19:33:13 - mmengine - INFO - Epoch(val) [42][1180/2475] eta: 0:01:59 time: 0.0922 data_time: 0.0608 memory: 817 2022/07/30 19:33:15 - mmengine - INFO - Epoch(val) [42][1200/2475] eta: 0:01:34 time: 0.0744 data_time: 0.0429 memory: 817 2022/07/30 19:33:17 - mmengine - INFO - Epoch(val) [42][1220/2475] eta: 0:01:41 time: 0.0809 data_time: 0.0505 memory: 817 2022/07/30 19:33:18 - mmengine - INFO - Epoch(val) [42][1240/2475] eta: 0:01:43 time: 0.0838 data_time: 0.0524 memory: 817 2022/07/30 19:33:20 - mmengine - INFO - Epoch(val) [42][1260/2475] eta: 0:01:35 time: 0.0782 data_time: 0.0456 memory: 817 2022/07/30 19:33:21 - mmengine - INFO - Epoch(val) [42][1280/2475] eta: 0:01:22 time: 0.0692 data_time: 0.0385 memory: 817 2022/07/30 19:33:23 - mmengine - INFO - Epoch(val) [42][1300/2475] eta: 0:01:50 time: 0.0938 data_time: 0.0606 memory: 817 2022/07/30 19:33:24 - mmengine - INFO - Epoch(val) [42][1320/2475] eta: 0:01:17 time: 0.0675 data_time: 0.0345 memory: 817 2022/07/30 19:33:26 - mmengine - INFO - Epoch(val) [42][1340/2475] eta: 0:01:27 time: 0.0767 data_time: 0.0446 memory: 817 2022/07/30 19:33:27 - mmengine - INFO - Epoch(val) [42][1360/2475] eta: 0:01:20 time: 0.0725 data_time: 0.0397 memory: 817 2022/07/30 19:33:30 - mmengine - INFO - Epoch(val) [42][1380/2475] eta: 0:02:35 time: 0.1422 data_time: 0.0967 memory: 817 2022/07/30 19:33:32 - mmengine - INFO - Epoch(val) [42][1400/2475] eta: 0:01:22 time: 0.0766 data_time: 0.0426 memory: 817 2022/07/30 19:33:34 - mmengine - INFO - Epoch(val) [42][1420/2475] eta: 0:01:31 time: 0.0871 data_time: 0.0560 memory: 817 2022/07/30 19:33:35 - mmengine - INFO - Epoch(val) [42][1440/2475] eta: 0:01:08 time: 0.0663 data_time: 0.0356 memory: 817 2022/07/30 19:33:36 - mmengine - INFO - Epoch(val) [42][1460/2475] eta: 0:01:23 time: 0.0822 data_time: 0.0498 memory: 817 2022/07/30 19:33:38 - mmengine - INFO - Epoch(val) [42][1480/2475] eta: 0:01:15 time: 0.0758 data_time: 0.0425 memory: 817 2022/07/30 19:33:40 - mmengine - INFO - Epoch(val) [42][1500/2475] eta: 0:01:20 time: 0.0822 data_time: 0.0520 memory: 817 2022/07/30 19:33:41 - mmengine - INFO - Epoch(val) [42][1520/2475] eta: 0:01:08 time: 0.0714 data_time: 0.0406 memory: 817 2022/07/30 19:33:43 - mmengine - INFO - Epoch(val) [42][1540/2475] eta: 0:01:20 time: 0.0860 data_time: 0.0556 memory: 817 2022/07/30 19:33:45 - mmengine - INFO - Epoch(val) [42][1560/2475] eta: 0:01:18 time: 0.0862 data_time: 0.0547 memory: 817 2022/07/30 19:33:46 - mmengine - INFO - Epoch(val) [42][1580/2475] eta: 0:01:03 time: 0.0712 data_time: 0.0399 memory: 817 2022/07/30 19:33:48 - mmengine - INFO - Epoch(val) [42][1600/2475] eta: 0:01:08 time: 0.0780 data_time: 0.0463 memory: 817 2022/07/30 19:33:49 - mmengine - INFO - Epoch(val) [42][1620/2475] eta: 0:01:12 time: 0.0850 data_time: 0.0428 memory: 817 2022/07/30 19:33:51 - mmengine - INFO - Epoch(val) [42][1640/2475] eta: 0:00:55 time: 0.0662 data_time: 0.0334 memory: 817 2022/07/30 19:33:52 - mmengine - INFO - Epoch(val) [42][1660/2475] eta: 0:01:16 time: 0.0938 data_time: 0.0633 memory: 817 2022/07/30 19:33:54 - mmengine - INFO - Epoch(val) [42][1680/2475] eta: 0:00:59 time: 0.0750 data_time: 0.0449 memory: 817 2022/07/30 19:33:56 - mmengine - INFO - Epoch(val) [42][1700/2475] eta: 0:01:06 time: 0.0862 data_time: 0.0549 memory: 817 2022/07/30 19:33:57 - mmengine - INFO - Epoch(val) [42][1720/2475] eta: 0:01:04 time: 0.0854 data_time: 0.0531 memory: 817 2022/07/30 19:33:59 - mmengine - INFO - Epoch(val) [42][1740/2475] eta: 0:00:48 time: 0.0664 data_time: 0.0351 memory: 817 2022/07/30 19:34:00 - mmengine - INFO - Epoch(val) [42][1760/2475] eta: 0:00:59 time: 0.0834 data_time: 0.0517 memory: 817 2022/07/30 19:34:02 - mmengine - INFO - Epoch(val) [42][1780/2475] eta: 0:01:02 time: 0.0893 data_time: 0.0587 memory: 817 2022/07/30 19:34:04 - mmengine - INFO - Epoch(val) [42][1800/2475] eta: 0:00:51 time: 0.0768 data_time: 0.0448 memory: 817 2022/07/30 19:34:06 - mmengine - INFO - Epoch(val) [42][1820/2475] eta: 0:01:05 time: 0.0997 data_time: 0.0691 memory: 817 2022/07/30 19:34:07 - mmengine - INFO - Epoch(val) [42][1840/2475] eta: 0:00:44 time: 0.0696 data_time: 0.0394 memory: 817 2022/07/30 19:34:09 - mmengine - INFO - Epoch(val) [42][1860/2475] eta: 0:00:55 time: 0.0902 data_time: 0.0589 memory: 817 2022/07/30 19:34:10 - mmengine - INFO - Epoch(val) [42][1880/2475] eta: 0:00:37 time: 0.0630 data_time: 0.0311 memory: 817 2022/07/30 19:34:12 - mmengine - INFO - Epoch(val) [42][1900/2475] eta: 0:00:47 time: 0.0826 data_time: 0.0515 memory: 817 2022/07/30 19:34:13 - mmengine - INFO - Epoch(val) [42][1920/2475] eta: 0:00:38 time: 0.0698 data_time: 0.0397 memory: 817 2022/07/30 19:34:15 - mmengine - INFO - Epoch(val) [42][1940/2475] eta: 0:00:46 time: 0.0875 data_time: 0.0546 memory: 817 2022/07/30 19:34:17 - mmengine - INFO - Epoch(val) [42][1960/2475] eta: 0:00:38 time: 0.0756 data_time: 0.0437 memory: 817 2022/07/30 19:34:18 - mmengine - INFO - Epoch(val) [42][1980/2475] eta: 0:00:39 time: 0.0801 data_time: 0.0484 memory: 817 2022/07/30 19:34:20 - mmengine - INFO - Epoch(val) [42][2000/2475] eta: 0:00:37 time: 0.0782 data_time: 0.0468 memory: 817 2022/07/30 19:34:21 - mmengine - INFO - Epoch(val) [42][2020/2475] eta: 0:00:38 time: 0.0840 data_time: 0.0513 memory: 817 2022/07/30 19:34:23 - mmengine - INFO - Epoch(val) [42][2040/2475] eta: 0:00:31 time: 0.0735 data_time: 0.0428 memory: 817 2022/07/30 19:34:25 - mmengine - INFO - Epoch(val) [42][2060/2475] eta: 0:00:37 time: 0.0905 data_time: 0.0602 memory: 817 2022/07/30 19:34:26 - mmengine - INFO - Epoch(val) [42][2080/2475] eta: 0:00:29 time: 0.0755 data_time: 0.0440 memory: 817 2022/07/30 19:34:28 - mmengine - INFO - Epoch(val) [42][2100/2475] eta: 0:00:36 time: 0.0969 data_time: 0.0583 memory: 817 2022/07/30 19:34:29 - mmengine - INFO - Epoch(val) [42][2120/2475] eta: 0:00:21 time: 0.0615 data_time: 0.0258 memory: 817 2022/07/30 19:34:31 - mmengine - INFO - Epoch(val) [42][2140/2475] eta: 0:00:30 time: 0.0925 data_time: 0.0610 memory: 817 2022/07/30 19:34:33 - mmengine - INFO - Epoch(val) [42][2160/2475] eta: 0:00:25 time: 0.0797 data_time: 0.0490 memory: 817 2022/07/30 19:34:35 - mmengine - INFO - Epoch(val) [42][2180/2475] eta: 0:00:25 time: 0.0872 data_time: 0.0553 memory: 817 2022/07/30 19:34:36 - mmengine - INFO - Epoch(val) [42][2200/2475] eta: 0:00:21 time: 0.0778 data_time: 0.0464 memory: 817 2022/07/30 19:34:38 - mmengine - INFO - Epoch(val) [42][2220/2475] eta: 0:00:22 time: 0.0901 data_time: 0.0584 memory: 817 2022/07/30 19:34:39 - mmengine - INFO - Epoch(val) [42][2240/2475] eta: 0:00:17 time: 0.0725 data_time: 0.0413 memory: 817 2022/07/30 19:34:41 - mmengine - INFO - Epoch(val) [42][2260/2475] eta: 0:00:20 time: 0.0945 data_time: 0.0634 memory: 817 2022/07/30 19:34:43 - mmengine - INFO - Epoch(val) [42][2280/2475] eta: 0:00:13 time: 0.0671 data_time: 0.0346 memory: 817 2022/07/30 19:34:44 - mmengine - INFO - Epoch(val) [42][2300/2475] eta: 0:00:14 time: 0.0842 data_time: 0.0536 memory: 817 2022/07/30 19:34:46 - mmengine - INFO - Epoch(val) [42][2320/2475] eta: 0:00:10 time: 0.0683 data_time: 0.0358 memory: 817 2022/07/30 19:34:47 - mmengine - INFO - Epoch(val) [42][2340/2475] eta: 0:00:10 time: 0.0781 data_time: 0.0455 memory: 817 2022/07/30 19:34:49 - mmengine - INFO - Epoch(val) [42][2360/2475] eta: 0:00:08 time: 0.0782 data_time: 0.0391 memory: 817 2022/07/30 19:34:50 - mmengine - INFO - Epoch(val) [42][2380/2475] eta: 0:00:07 time: 0.0828 data_time: 0.0513 memory: 817 2022/07/30 19:34:52 - mmengine - INFO - Epoch(val) [42][2400/2475] eta: 0:00:05 time: 0.0725 data_time: 0.0410 memory: 817 2022/07/30 19:34:53 - mmengine - INFO - Epoch(val) [42][2420/2475] eta: 0:00:02 time: 0.0510 data_time: 0.0197 memory: 817 2022/07/30 19:34:54 - mmengine - INFO - Epoch(val) [42][2440/2475] eta: 0:00:01 time: 0.0303 data_time: 0.0013 memory: 817 2022/07/30 19:34:54 - mmengine - INFO - Epoch(val) [42][2460/2475] eta: 0:00:00 time: 0.0317 data_time: 0.0026 memory: 817 2022/07/30 19:34:56 - mmengine - INFO - Epoch(val) [42][2475/2475] acc/top1: 0.7607 acc/top5: 0.9207 acc/mean1: 0.7606 2022/07/30 19:34:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_40.pth is removed 2022/07/30 19:34:58 - mmengine - INFO - The best checkpoint with 0.7607 acc/top1 at 43 epoch is saved to best_acc/top1_epoch_43.pth. 2022/07/30 19:35:25 - mmengine - INFO - Epoch(train) [43][20/2505] lr: 5.0000e-05 eta: 11:01:32 time: 1.3348 data_time: 0.7367 memory: 32703 grad_norm: 18.0928 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9834 loss: 0.9834 2022/07/30 19:35:43 - mmengine - INFO - Epoch(train) [43][40/2505] lr: 5.0000e-05 eta: 11:01:11 time: 0.9077 data_time: 0.3334 memory: 32703 grad_norm: 18.0559 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9286 loss: 0.9286 2022/07/30 19:36:04 - mmengine - INFO - Epoch(train) [43][60/2505] lr: 5.0000e-05 eta: 11:00:52 time: 1.0659 data_time: 0.4640 memory: 32703 grad_norm: 18.3329 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9331 loss: 0.9331 2022/07/30 19:36:22 - mmengine - INFO - Epoch(train) [43][80/2505] lr: 5.0000e-05 eta: 11:00:31 time: 0.8843 data_time: 0.3120 memory: 32703 grad_norm: 18.8155 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0250 loss: 1.0250 2022/07/30 19:36:43 - mmengine - INFO - Epoch(train) [43][100/2505] lr: 5.0000e-05 eta: 11:00:12 time: 1.0728 data_time: 0.4945 memory: 32703 grad_norm: 19.3218 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1021 loss: 1.1021 2022/07/30 19:37:02 - mmengine - INFO - Epoch(train) [43][120/2505] lr: 5.0000e-05 eta: 10:59:52 time: 0.9129 data_time: 0.3202 memory: 32703 grad_norm: 19.2217 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2005 loss: 1.2005 2022/07/30 19:37:23 - mmengine - INFO - Epoch(train) [43][140/2505] lr: 5.0000e-05 eta: 10:59:32 time: 1.0525 data_time: 0.4584 memory: 32703 grad_norm: 19.3096 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1205 loss: 1.1205 2022/07/30 19:37:41 - mmengine - INFO - Epoch(train) [43][160/2505] lr: 5.0000e-05 eta: 10:59:12 time: 0.9063 data_time: 0.3104 memory: 32703 grad_norm: 18.3630 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0774 loss: 1.0774 2022/07/30 19:38:03 - mmengine - INFO - Epoch(train) [43][180/2505] lr: 5.0000e-05 eta: 10:58:53 time: 1.0821 data_time: 0.4986 memory: 32703 grad_norm: 18.4524 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0254 loss: 1.0254 2022/07/30 19:38:20 - mmengine - INFO - Epoch(train) [43][200/2505] lr: 5.0000e-05 eta: 10:58:32 time: 0.8982 data_time: 0.2953 memory: 32703 grad_norm: 19.8033 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1509 loss: 1.1509 2022/07/30 19:38:42 - mmengine - INFO - Epoch(train) [43][220/2505] lr: 5.0000e-05 eta: 10:58:13 time: 1.0660 data_time: 0.4812 memory: 32703 grad_norm: 19.0520 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9984 loss: 0.9984 2022/07/30 19:39:00 - mmengine - INFO - Epoch(train) [43][240/2505] lr: 5.0000e-05 eta: 10:57:53 time: 0.9112 data_time: 0.3207 memory: 32703 grad_norm: 18.5971 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0568 loss: 1.0568 2022/07/30 19:39:21 - mmengine - INFO - Epoch(train) [43][260/2505] lr: 5.0000e-05 eta: 10:57:33 time: 1.0497 data_time: 0.4717 memory: 32703 grad_norm: 18.6276 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9861 loss: 0.9861 2022/07/30 19:39:39 - mmengine - INFO - Epoch(train) [43][280/2505] lr: 5.0000e-05 eta: 10:57:13 time: 0.8884 data_time: 0.2916 memory: 32703 grad_norm: 18.4900 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9791 loss: 0.9791 2022/07/30 19:40:00 - mmengine - INFO - Epoch(train) [43][300/2505] lr: 5.0000e-05 eta: 10:56:53 time: 1.0579 data_time: 0.4825 memory: 32703 grad_norm: 18.4060 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0291 loss: 1.0291 2022/07/30 19:40:18 - mmengine - INFO - Epoch(train) [43][320/2505] lr: 5.0000e-05 eta: 10:56:33 time: 0.9222 data_time: 0.3193 memory: 32703 grad_norm: 18.9244 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0414 loss: 1.0414 2022/07/30 19:40:40 - mmengine - INFO - Epoch(train) [43][340/2505] lr: 5.0000e-05 eta: 10:56:14 time: 1.0575 data_time: 0.4571 memory: 32703 grad_norm: 18.7512 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1271 loss: 1.1271 2022/07/30 19:40:57 - mmengine - INFO - Epoch(train) [43][360/2505] lr: 5.0000e-05 eta: 10:55:53 time: 0.8691 data_time: 0.2756 memory: 32703 grad_norm: 18.4990 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9730 loss: 0.9730 2022/07/30 19:41:18 - mmengine - INFO - Epoch(train) [43][380/2505] lr: 5.0000e-05 eta: 10:55:34 time: 1.0622 data_time: 0.4783 memory: 32703 grad_norm: 18.5446 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8795 loss: 0.8795 2022/07/30 19:41:36 - mmengine - INFO - Epoch(train) [43][400/2505] lr: 5.0000e-05 eta: 10:55:13 time: 0.9093 data_time: 0.3098 memory: 32703 grad_norm: 19.5805 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8925 loss: 0.8925 2022/07/30 19:41:57 - mmengine - INFO - Epoch(train) [43][420/2505] lr: 5.0000e-05 eta: 10:54:54 time: 1.0428 data_time: 0.4032 memory: 32703 grad_norm: 18.2335 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2105 loss: 1.2105 2022/07/30 19:42:16 - mmengine - INFO - Epoch(train) [43][440/2505] lr: 5.0000e-05 eta: 10:54:33 time: 0.9105 data_time: 0.2783 memory: 32703 grad_norm: 19.5043 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1370 loss: 1.1370 2022/07/30 19:42:37 - mmengine - INFO - Epoch(train) [43][460/2505] lr: 5.0000e-05 eta: 10:54:14 time: 1.0519 data_time: 0.3685 memory: 32703 grad_norm: 18.5031 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0193 loss: 1.0193 2022/07/30 19:42:55 - mmengine - INFO - Epoch(train) [43][480/2505] lr: 5.0000e-05 eta: 10:53:54 time: 0.9234 data_time: 0.2062 memory: 32703 grad_norm: 19.3686 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1733 loss: 1.1733 2022/07/30 19:43:16 - mmengine - INFO - Epoch(train) [43][500/2505] lr: 5.0000e-05 eta: 10:53:35 time: 1.0642 data_time: 0.3304 memory: 32703 grad_norm: 19.2788 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1794 loss: 1.1794 2022/07/30 19:43:35 - mmengine - INFO - Epoch(train) [43][520/2505] lr: 5.0000e-05 eta: 10:53:14 time: 0.9187 data_time: 0.1809 memory: 32703 grad_norm: 19.2050 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1134 loss: 1.1134 2022/07/30 19:43:55 - mmengine - INFO - Epoch(train) [43][540/2505] lr: 5.0000e-05 eta: 10:52:55 time: 1.0240 data_time: 0.2651 memory: 32703 grad_norm: 18.1237 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0712 loss: 1.0712 2022/07/30 19:44:14 - mmengine - INFO - Epoch(train) [43][560/2505] lr: 5.0000e-05 eta: 10:52:34 time: 0.9219 data_time: 0.2592 memory: 32703 grad_norm: 19.0284 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9739 loss: 0.9739 2022/07/30 19:44:35 - mmengine - INFO - Epoch(train) [43][580/2505] lr: 5.0000e-05 eta: 10:52:15 time: 1.0532 data_time: 0.4420 memory: 32703 grad_norm: 18.2622 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9022 loss: 0.9022 2022/07/30 19:44:53 - mmengine - INFO - Epoch(train) [43][600/2505] lr: 5.0000e-05 eta: 10:51:54 time: 0.9003 data_time: 0.2967 memory: 32703 grad_norm: 19.2526 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 0.9285 loss: 0.9285 2022/07/30 19:45:14 - mmengine - INFO - Epoch(train) [43][620/2505] lr: 5.0000e-05 eta: 10:51:35 time: 1.0830 data_time: 0.4467 memory: 32703 grad_norm: 18.5339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8960 loss: 0.8960 2022/07/30 19:45:33 - mmengine - INFO - Epoch(train) [43][640/2505] lr: 5.0000e-05 eta: 10:51:15 time: 0.9106 data_time: 0.3159 memory: 32703 grad_norm: 18.4593 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9923 loss: 0.9923 2022/07/30 19:45:53 - mmengine - INFO - Epoch(train) [43][660/2505] lr: 5.0000e-05 eta: 10:50:55 time: 1.0353 data_time: 0.3314 memory: 32703 grad_norm: 19.3435 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1760 loss: 1.1760 2022/07/30 19:46:12 - mmengine - INFO - Epoch(train) [43][680/2505] lr: 5.0000e-05 eta: 10:50:35 time: 0.9238 data_time: 0.3167 memory: 32703 grad_norm: 19.1706 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2360 loss: 1.2360 2022/07/30 19:46:33 - mmengine - INFO - Epoch(train) [43][700/2505] lr: 5.0000e-05 eta: 10:50:16 time: 1.0718 data_time: 0.4716 memory: 32703 grad_norm: 18.3674 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9525 loss: 0.9525 2022/07/30 19:46:51 - mmengine - INFO - Epoch(train) [43][720/2505] lr: 5.0000e-05 eta: 10:49:55 time: 0.8802 data_time: 0.2728 memory: 32703 grad_norm: 20.2914 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9892 loss: 0.9892 2022/07/30 19:47:13 - mmengine - INFO - Epoch(train) [43][740/2505] lr: 5.0000e-05 eta: 10:49:36 time: 1.1005 data_time: 0.4909 memory: 32703 grad_norm: 18.9718 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9929 loss: 0.9929 2022/07/30 19:47:30 - mmengine - INFO - Epoch(train) [43][760/2505] lr: 5.0000e-05 eta: 10:49:16 time: 0.8786 data_time: 0.2782 memory: 32703 grad_norm: 18.4018 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9687 loss: 0.9687 2022/07/30 19:47:53 - mmengine - INFO - Epoch(train) [43][780/2505] lr: 5.0000e-05 eta: 10:48:57 time: 1.1093 data_time: 0.4979 memory: 32703 grad_norm: 18.2437 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9072 loss: 0.9072 2022/07/30 19:48:00 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 19:48:09 - mmengine - INFO - Epoch(train) [43][800/2505] lr: 5.0000e-05 eta: 10:48:35 time: 0.7964 data_time: 0.2226 memory: 32703 grad_norm: 18.9590 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2294 loss: 1.2294 2022/07/30 19:48:30 - mmengine - INFO - Epoch(train) [43][820/2505] lr: 5.0000e-05 eta: 10:48:16 time: 1.0780 data_time: 0.4664 memory: 32703 grad_norm: 18.9829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9793 loss: 0.9793 2022/07/30 19:48:47 - mmengine - INFO - Epoch(train) [43][840/2505] lr: 5.0000e-05 eta: 10:47:56 time: 0.8679 data_time: 0.2945 memory: 32703 grad_norm: 18.7079 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 0.9775 loss: 0.9775 2022/07/30 19:49:08 - mmengine - INFO - Epoch(train) [43][860/2505] lr: 5.0000e-05 eta: 10:47:36 time: 1.0366 data_time: 0.4572 memory: 32703 grad_norm: 19.4684 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8424 loss: 0.8424 2022/07/30 19:49:27 - mmengine - INFO - Epoch(train) [43][880/2505] lr: 5.0000e-05 eta: 10:47:16 time: 0.9237 data_time: 0.3302 memory: 32703 grad_norm: 18.5173 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1643 loss: 1.1643 2022/07/30 19:49:48 - mmengine - INFO - Epoch(train) [43][900/2505] lr: 5.0000e-05 eta: 10:46:56 time: 1.0680 data_time: 0.4663 memory: 32703 grad_norm: 18.5816 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0910 loss: 1.0910 2022/07/30 19:50:07 - mmengine - INFO - Epoch(train) [43][920/2505] lr: 5.0000e-05 eta: 10:46:36 time: 0.9446 data_time: 0.3424 memory: 32703 grad_norm: 20.0263 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0108 loss: 1.0108 2022/07/30 19:50:28 - mmengine - INFO - Epoch(train) [43][940/2505] lr: 5.0000e-05 eta: 10:46:17 time: 1.0719 data_time: 0.4735 memory: 32703 grad_norm: 19.3811 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9447 loss: 0.9447 2022/07/30 19:50:47 - mmengine - INFO - Epoch(train) [43][960/2505] lr: 5.0000e-05 eta: 10:45:57 time: 0.9120 data_time: 0.3177 memory: 32703 grad_norm: 19.4973 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1638 loss: 1.1638 2022/07/30 19:51:08 - mmengine - INFO - Epoch(train) [43][980/2505] lr: 5.0000e-05 eta: 10:45:37 time: 1.0545 data_time: 0.4464 memory: 32703 grad_norm: 19.1720 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0185 loss: 1.0185 2022/07/30 19:51:26 - mmengine - INFO - Epoch(train) [43][1000/2505] lr: 5.0000e-05 eta: 10:45:17 time: 0.9045 data_time: 0.3237 memory: 32703 grad_norm: 18.5700 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7202 loss: 0.7202 2022/07/30 19:51:46 - mmengine - INFO - Epoch(train) [43][1020/2505] lr: 5.0000e-05 eta: 10:44:57 time: 1.0028 data_time: 0.3925 memory: 32703 grad_norm: 19.0377 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1123 loss: 1.1123 2022/07/30 19:52:04 - mmengine - INFO - Epoch(train) [43][1040/2505] lr: 5.0000e-05 eta: 10:44:37 time: 0.9122 data_time: 0.3026 memory: 32703 grad_norm: 18.0268 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1174 loss: 1.1174 2022/07/30 19:52:25 - mmengine - INFO - Epoch(train) [43][1060/2505] lr: 5.0000e-05 eta: 10:44:17 time: 1.0575 data_time: 0.4654 memory: 32703 grad_norm: 18.9213 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1277 loss: 1.1277 2022/07/30 19:52:43 - mmengine - INFO - Epoch(train) [43][1080/2505] lr: 5.0000e-05 eta: 10:43:57 time: 0.8893 data_time: 0.2855 memory: 32703 grad_norm: 19.1300 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8802 loss: 0.8802 2022/07/30 19:53:05 - mmengine - INFO - Epoch(train) [43][1100/2505] lr: 5.0000e-05 eta: 10:43:38 time: 1.0884 data_time: 0.4919 memory: 32703 grad_norm: 18.6018 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7176 loss: 0.7176 2022/07/30 19:53:23 - mmengine - INFO - Epoch(train) [43][1120/2505] lr: 5.0000e-05 eta: 10:43:17 time: 0.8842 data_time: 0.2732 memory: 32703 grad_norm: 18.9113 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1762 loss: 1.1762 2022/07/30 19:53:44 - mmengine - INFO - Epoch(train) [43][1140/2505] lr: 5.0000e-05 eta: 10:42:58 time: 1.0774 data_time: 0.4815 memory: 32703 grad_norm: 18.5422 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9351 loss: 0.9351 2022/07/30 19:54:02 - mmengine - INFO - Epoch(train) [43][1160/2505] lr: 5.0000e-05 eta: 10:42:37 time: 0.8823 data_time: 0.2702 memory: 32703 grad_norm: 18.3026 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9742 loss: 0.9742 2022/07/30 19:54:23 - mmengine - INFO - Epoch(train) [43][1180/2505] lr: 5.0000e-05 eta: 10:42:18 time: 1.0781 data_time: 0.4963 memory: 32703 grad_norm: 18.4990 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9868 loss: 0.9868 2022/07/30 19:54:41 - mmengine - INFO - Epoch(train) [43][1200/2505] lr: 5.0000e-05 eta: 10:41:58 time: 0.8833 data_time: 0.2960 memory: 32703 grad_norm: 18.3540 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9720 loss: 0.9720 2022/07/30 19:55:03 - mmengine - INFO - Epoch(train) [43][1220/2505] lr: 5.0000e-05 eta: 10:41:38 time: 1.0756 data_time: 0.4669 memory: 32703 grad_norm: 18.1406 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0233 loss: 1.0233 2022/07/30 19:55:21 - mmengine - INFO - Epoch(train) [43][1240/2505] lr: 5.0000e-05 eta: 10:41:18 time: 0.9062 data_time: 0.3245 memory: 32703 grad_norm: 18.8370 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9678 loss: 0.9678 2022/07/30 19:55:42 - mmengine - INFO - Epoch(train) [43][1260/2505] lr: 5.0000e-05 eta: 10:40:59 time: 1.0565 data_time: 0.4535 memory: 32703 grad_norm: 18.6652 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2426 loss: 1.2426 2022/07/30 19:56:00 - mmengine - INFO - Epoch(train) [43][1280/2505] lr: 5.0000e-05 eta: 10:40:38 time: 0.9068 data_time: 0.3023 memory: 32703 grad_norm: 18.3153 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9654 loss: 0.9654 2022/07/30 19:56:21 - mmengine - INFO - Epoch(train) [43][1300/2505] lr: 5.0000e-05 eta: 10:40:19 time: 1.0761 data_time: 0.4745 memory: 32703 grad_norm: 18.2126 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9708 loss: 0.9708 2022/07/30 19:56:40 - mmengine - INFO - Epoch(train) [43][1320/2505] lr: 5.0000e-05 eta: 10:39:59 time: 0.9300 data_time: 0.3496 memory: 32703 grad_norm: 19.7744 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0101 loss: 1.0101 2022/07/30 19:57:01 - mmengine - INFO - Epoch(train) [43][1340/2505] lr: 5.0000e-05 eta: 10:39:39 time: 1.0487 data_time: 0.4493 memory: 32703 grad_norm: 19.3269 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1052 loss: 1.1052 2022/07/30 19:57:20 - mmengine - INFO - Epoch(train) [43][1360/2505] lr: 5.0000e-05 eta: 10:39:19 time: 0.9307 data_time: 0.3524 memory: 32703 grad_norm: 19.7493 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8551 loss: 0.8551 2022/07/30 19:57:41 - mmengine - INFO - Epoch(train) [43][1380/2505] lr: 5.0000e-05 eta: 10:39:00 time: 1.0679 data_time: 0.4575 memory: 32703 grad_norm: 18.3430 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8631 loss: 0.8631 2022/07/30 19:57:59 - mmengine - INFO - Epoch(train) [43][1400/2505] lr: 5.0000e-05 eta: 10:38:39 time: 0.9005 data_time: 0.3149 memory: 32703 grad_norm: 19.5566 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8896 loss: 0.8896 2022/07/30 19:58:20 - mmengine - INFO - Epoch(train) [43][1420/2505] lr: 5.0000e-05 eta: 10:38:20 time: 1.0350 data_time: 0.4219 memory: 32703 grad_norm: 18.0825 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0245 loss: 1.0245 2022/07/30 19:58:38 - mmengine - INFO - Epoch(train) [43][1440/2505] lr: 5.0000e-05 eta: 10:38:00 time: 0.9030 data_time: 0.3174 memory: 32703 grad_norm: 18.5359 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8919 loss: 0.8919 2022/07/30 19:59:00 - mmengine - INFO - Epoch(train) [43][1460/2505] lr: 5.0000e-05 eta: 10:37:40 time: 1.0884 data_time: 0.4800 memory: 32703 grad_norm: 18.9866 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1296 loss: 1.1296 2022/07/30 19:59:18 - mmengine - INFO - Epoch(train) [43][1480/2505] lr: 5.0000e-05 eta: 10:37:20 time: 0.9137 data_time: 0.3188 memory: 32703 grad_norm: 18.5563 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0062 loss: 1.0062 2022/07/30 19:59:38 - mmengine - INFO - Epoch(train) [43][1500/2505] lr: 5.0000e-05 eta: 10:37:00 time: 1.0248 data_time: 0.4236 memory: 32703 grad_norm: 18.0249 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9480 loss: 0.9480 2022/07/30 19:59:56 - mmengine - INFO - Epoch(train) [43][1520/2505] lr: 5.0000e-05 eta: 10:36:40 time: 0.8717 data_time: 0.2790 memory: 32703 grad_norm: 19.6396 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0679 loss: 1.0679 2022/07/30 20:00:19 - mmengine - INFO - Epoch(train) [43][1540/2505] lr: 5.0000e-05 eta: 10:36:21 time: 1.1478 data_time: 0.5600 memory: 32703 grad_norm: 19.5452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9180 loss: 0.9180 2022/07/30 20:00:36 - mmengine - INFO - Epoch(train) [43][1560/2505] lr: 5.0000e-05 eta: 10:36:00 time: 0.8414 data_time: 0.2518 memory: 32703 grad_norm: 19.0068 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8988 loss: 0.8988 2022/07/30 20:00:57 - mmengine - INFO - Epoch(train) [43][1580/2505] lr: 5.0000e-05 eta: 10:35:41 time: 1.0493 data_time: 0.4445 memory: 32703 grad_norm: 18.9006 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0247 loss: 1.0247 2022/07/30 20:01:15 - mmengine - INFO - Epoch(train) [43][1600/2505] lr: 5.0000e-05 eta: 10:35:21 time: 0.9280 data_time: 0.3262 memory: 32703 grad_norm: 18.7598 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9454 loss: 0.9454 2022/07/30 20:01:36 - mmengine - INFO - Epoch(train) [43][1620/2505] lr: 5.0000e-05 eta: 10:35:01 time: 1.0525 data_time: 0.4541 memory: 32703 grad_norm: 18.8921 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0683 loss: 1.0683 2022/07/30 20:01:55 - mmengine - INFO - Epoch(train) [43][1640/2505] lr: 5.0000e-05 eta: 10:34:41 time: 0.9206 data_time: 0.3217 memory: 32703 grad_norm: 18.9585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1733 loss: 1.1733 2022/07/30 20:02:16 - mmengine - INFO - Epoch(train) [43][1660/2505] lr: 5.0000e-05 eta: 10:34:22 time: 1.0769 data_time: 0.4816 memory: 32703 grad_norm: 18.8883 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9427 loss: 0.9427 2022/07/30 20:02:34 - mmengine - INFO - Epoch(train) [43][1680/2505] lr: 5.0000e-05 eta: 10:34:01 time: 0.8877 data_time: 0.2943 memory: 32703 grad_norm: 18.6315 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1808 loss: 1.1808 2022/07/30 20:02:56 - mmengine - INFO - Epoch(train) [43][1700/2505] lr: 5.0000e-05 eta: 10:33:42 time: 1.0934 data_time: 0.4891 memory: 32703 grad_norm: 17.9328 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9630 loss: 0.9630 2022/07/30 20:03:13 - mmengine - INFO - Epoch(train) [43][1720/2505] lr: 5.0000e-05 eta: 10:33:21 time: 0.8490 data_time: 0.2539 memory: 32703 grad_norm: 18.3354 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0128 loss: 1.0128 2022/07/30 20:03:35 - mmengine - INFO - Epoch(train) [43][1740/2505] lr: 5.0000e-05 eta: 10:33:02 time: 1.0873 data_time: 0.4780 memory: 32703 grad_norm: 18.7342 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2672 loss: 1.2672 2022/07/30 20:03:52 - mmengine - INFO - Epoch(train) [43][1760/2505] lr: 5.0000e-05 eta: 10:32:41 time: 0.8771 data_time: 0.3008 memory: 32703 grad_norm: 19.5348 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9810 loss: 0.9810 2022/07/30 20:04:13 - mmengine - INFO - Epoch(train) [43][1780/2505] lr: 5.0000e-05 eta: 10:32:22 time: 1.0247 data_time: 0.4227 memory: 32703 grad_norm: 19.6594 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2370 loss: 1.2370 2022/07/30 20:04:22 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 20:04:31 - mmengine - INFO - Epoch(train) [43][1800/2505] lr: 5.0000e-05 eta: 10:32:02 time: 0.9218 data_time: 0.3268 memory: 32703 grad_norm: 19.3637 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7782 loss: 0.7782 2022/07/30 20:04:52 - mmengine - INFO - Epoch(train) [43][1820/2505] lr: 5.0000e-05 eta: 10:31:42 time: 1.0494 data_time: 0.4485 memory: 32703 grad_norm: 19.3052 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1077 loss: 1.1077 2022/07/30 20:05:10 - mmengine - INFO - Epoch(train) [43][1840/2505] lr: 5.0000e-05 eta: 10:31:22 time: 0.8909 data_time: 0.2699 memory: 32703 grad_norm: 19.9319 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2536 loss: 1.2536 2022/07/30 20:05:31 - mmengine - INFO - Epoch(train) [43][1860/2505] lr: 5.0000e-05 eta: 10:31:02 time: 1.0531 data_time: 0.1834 memory: 32703 grad_norm: 18.6335 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0983 loss: 1.0983 2022/07/30 20:05:48 - mmengine - INFO - Epoch(train) [43][1880/2505] lr: 5.0000e-05 eta: 10:30:42 time: 0.8726 data_time: 0.0990 memory: 32703 grad_norm: 19.6793 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1349 loss: 1.1349 2022/07/30 20:06:10 - mmengine - INFO - Epoch(train) [43][1900/2505] lr: 5.0000e-05 eta: 10:30:22 time: 1.0730 data_time: 0.0935 memory: 32703 grad_norm: 18.6977 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.7793 loss: 0.7793 2022/07/30 20:06:28 - mmengine - INFO - Epoch(train) [43][1920/2505] lr: 5.0000e-05 eta: 10:30:02 time: 0.9189 data_time: 0.0853 memory: 32703 grad_norm: 18.7741 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9976 loss: 0.9976 2022/07/30 20:06:50 - mmengine - INFO - Epoch(train) [43][1940/2505] lr: 5.0000e-05 eta: 10:29:43 time: 1.0838 data_time: 0.2357 memory: 32703 grad_norm: 18.7911 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8810 loss: 0.8810 2022/07/30 20:07:08 - mmengine - INFO - Epoch(train) [43][1960/2505] lr: 5.0000e-05 eta: 10:29:23 time: 0.9111 data_time: 0.2114 memory: 32703 grad_norm: 18.8692 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1141 loss: 1.1141 2022/07/30 20:07:30 - mmengine - INFO - Epoch(train) [43][1980/2505] lr: 5.0000e-05 eta: 10:29:03 time: 1.0809 data_time: 0.3382 memory: 32703 grad_norm: 18.8509 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0157 loss: 1.0157 2022/07/30 20:07:48 - mmengine - INFO - Epoch(train) [43][2000/2505] lr: 5.0000e-05 eta: 10:28:43 time: 0.8840 data_time: 0.2444 memory: 32703 grad_norm: 18.8401 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0734 loss: 1.0734 2022/07/30 20:08:09 - mmengine - INFO - Epoch(train) [43][2020/2505] lr: 5.0000e-05 eta: 10:28:24 time: 1.0557 data_time: 0.2686 memory: 32703 grad_norm: 19.2433 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8198 loss: 0.8198 2022/07/30 20:08:26 - mmengine - INFO - Epoch(train) [43][2040/2505] lr: 5.0000e-05 eta: 10:28:03 time: 0.8832 data_time: 0.1297 memory: 32703 grad_norm: 19.0887 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0344 loss: 1.0344 2022/07/30 20:08:47 - mmengine - INFO - Epoch(train) [43][2060/2505] lr: 5.0000e-05 eta: 10:27:43 time: 1.0353 data_time: 0.1139 memory: 32703 grad_norm: 18.1090 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9652 loss: 0.9652 2022/07/30 20:09:06 - mmengine - INFO - Epoch(train) [43][2080/2505] lr: 5.0000e-05 eta: 10:27:23 time: 0.9314 data_time: 0.1737 memory: 32703 grad_norm: 19.0548 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1126 loss: 1.1126 2022/07/30 20:09:27 - mmengine - INFO - Epoch(train) [43][2100/2505] lr: 5.0000e-05 eta: 10:27:04 time: 1.0417 data_time: 0.1619 memory: 32703 grad_norm: 19.1204 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9928 loss: 0.9928 2022/07/30 20:09:45 - mmengine - INFO - Epoch(train) [43][2120/2505] lr: 5.0000e-05 eta: 10:26:43 time: 0.9233 data_time: 0.1526 memory: 32703 grad_norm: 20.0072 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8883 loss: 0.8883 2022/07/30 20:10:07 - mmengine - INFO - Epoch(train) [43][2140/2505] lr: 5.0000e-05 eta: 10:26:24 time: 1.1049 data_time: 0.1795 memory: 32703 grad_norm: 18.7355 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0306 loss: 1.0306 2022/07/30 20:10:25 - mmengine - INFO - Epoch(train) [43][2160/2505] lr: 5.0000e-05 eta: 10:26:04 time: 0.9095 data_time: 0.1820 memory: 32703 grad_norm: 19.9970 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.2483 loss: 1.2483 2022/07/30 20:10:46 - mmengine - INFO - Epoch(train) [43][2180/2505] lr: 5.0000e-05 eta: 10:25:45 time: 1.0433 data_time: 0.2626 memory: 32703 grad_norm: 19.0065 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0528 loss: 1.0528 2022/07/30 20:11:04 - mmengine - INFO - Epoch(train) [43][2200/2505] lr: 5.0000e-05 eta: 10:25:24 time: 0.8968 data_time: 0.0791 memory: 32703 grad_norm: 18.0452 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0958 loss: 1.0958 2022/07/30 20:11:25 - mmengine - INFO - Epoch(train) [43][2220/2505] lr: 5.0000e-05 eta: 10:25:05 time: 1.0524 data_time: 0.1666 memory: 32703 grad_norm: 19.2760 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1020 loss: 1.1020 2022/07/30 20:11:43 - mmengine - INFO - Epoch(train) [43][2240/2505] lr: 5.0000e-05 eta: 10:24:44 time: 0.9148 data_time: 0.2381 memory: 32703 grad_norm: 19.3301 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1265 loss: 1.1265 2022/07/30 20:12:04 - mmengine - INFO - Epoch(train) [43][2260/2505] lr: 5.0000e-05 eta: 10:24:25 time: 1.0341 data_time: 0.3382 memory: 32703 grad_norm: 18.9626 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7981 loss: 0.7981 2022/07/30 20:12:23 - mmengine - INFO - Epoch(train) [43][2280/2505] lr: 5.0000e-05 eta: 10:24:05 time: 0.9465 data_time: 0.2205 memory: 32703 grad_norm: 18.3161 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7465 loss: 0.7465 2022/07/30 20:12:44 - mmengine - INFO - Epoch(train) [43][2300/2505] lr: 5.0000e-05 eta: 10:23:45 time: 1.0210 data_time: 0.3481 memory: 32703 grad_norm: 17.6904 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9777 loss: 0.9777 2022/07/30 20:13:02 - mmengine - INFO - Epoch(train) [43][2320/2505] lr: 5.0000e-05 eta: 10:23:25 time: 0.9258 data_time: 0.2676 memory: 32703 grad_norm: 19.5612 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9838 loss: 0.9838 2022/07/30 20:13:23 - mmengine - INFO - Epoch(train) [43][2340/2505] lr: 5.0000e-05 eta: 10:23:06 time: 1.0623 data_time: 0.3274 memory: 32703 grad_norm: 19.4575 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0349 loss: 1.0349 2022/07/30 20:13:41 - mmengine - INFO - Epoch(train) [43][2360/2505] lr: 5.0000e-05 eta: 10:22:45 time: 0.8824 data_time: 0.1957 memory: 32703 grad_norm: 18.6550 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9802 loss: 0.9802 2022/07/30 20:14:02 - mmengine - INFO - Epoch(train) [43][2380/2505] lr: 5.0000e-05 eta: 10:22:26 time: 1.0524 data_time: 0.3338 memory: 32703 grad_norm: 19.7773 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9694 loss: 0.9694 2022/07/30 20:14:20 - mmengine - INFO - Epoch(train) [43][2400/2505] lr: 5.0000e-05 eta: 10:22:05 time: 0.8903 data_time: 0.2368 memory: 32703 grad_norm: 18.7149 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9991 loss: 0.9991 2022/07/30 20:14:43 - mmengine - INFO - Epoch(train) [43][2420/2505] lr: 5.0000e-05 eta: 10:21:47 time: 1.1548 data_time: 0.2298 memory: 32703 grad_norm: 17.9913 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9890 loss: 0.9890 2022/07/30 20:15:01 - mmengine - INFO - Epoch(train) [43][2440/2505] lr: 5.0000e-05 eta: 10:21:26 time: 0.9032 data_time: 0.0400 memory: 32703 grad_norm: 19.3059 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1698 loss: 1.1698 2022/07/30 20:15:23 - mmengine - INFO - Epoch(train) [43][2460/2505] lr: 5.0000e-05 eta: 10:21:07 time: 1.0797 data_time: 0.0311 memory: 32703 grad_norm: 19.4168 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9367 loss: 0.9367 2022/07/30 20:15:40 - mmengine - INFO - Epoch(train) [43][2480/2505] lr: 5.0000e-05 eta: 10:20:46 time: 0.8895 data_time: 0.0266 memory: 32703 grad_norm: 18.7167 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8544 loss: 0.8544 2022/07/30 20:15:58 - mmengine - INFO - Epoch(train) [43][2500/2505] lr: 5.0000e-05 eta: 10:20:26 time: 0.8930 data_time: 0.0273 memory: 32703 grad_norm: 18.5413 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1632 loss: 1.1632 2022/07/30 20:16:01 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 20:16:01 - mmengine - INFO - Epoch(train) [43][2505/2505] lr: 5.0000e-05 eta: 10:20:26 time: 0.7223 data_time: 0.0204 memory: 32703 grad_norm: 18.6062 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1817 loss: 1.1817 2022/07/30 20:16:27 - mmengine - INFO - Epoch(train) [44][20/2505] lr: 5.0000e-05 eta: 10:20:02 time: 1.3155 data_time: 0.6764 memory: 32703 grad_norm: 18.5409 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9476 loss: 0.9476 2022/07/30 20:16:46 - mmengine - INFO - Epoch(train) [44][40/2505] lr: 5.0000e-05 eta: 10:19:41 time: 0.9219 data_time: 0.3341 memory: 32703 grad_norm: 18.7798 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0765 loss: 1.0765 2022/07/30 20:17:07 - mmengine - INFO - Epoch(train) [44][60/2505] lr: 5.0000e-05 eta: 10:19:22 time: 1.0793 data_time: 0.4269 memory: 32703 grad_norm: 18.7693 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8979 loss: 0.8979 2022/07/30 20:17:26 - mmengine - INFO - Epoch(train) [44][80/2505] lr: 5.0000e-05 eta: 10:19:02 time: 0.9481 data_time: 0.2582 memory: 32703 grad_norm: 18.5641 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2117 loss: 1.2117 2022/07/30 20:17:47 - mmengine - INFO - Epoch(train) [44][100/2505] lr: 5.0000e-05 eta: 10:18:42 time: 1.0244 data_time: 0.3022 memory: 32703 grad_norm: 18.6671 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1014 loss: 1.1014 2022/07/30 20:18:05 - mmengine - INFO - Epoch(train) [44][120/2505] lr: 5.0000e-05 eta: 10:18:22 time: 0.9260 data_time: 0.3228 memory: 32703 grad_norm: 18.5440 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0385 loss: 1.0385 2022/07/30 20:18:26 - mmengine - INFO - Epoch(train) [44][140/2505] lr: 5.0000e-05 eta: 10:18:03 time: 1.0372 data_time: 0.4527 memory: 32703 grad_norm: 18.0211 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.8269 loss: 0.8269 2022/07/30 20:18:44 - mmengine - INFO - Epoch(train) [44][160/2505] lr: 5.0000e-05 eta: 10:17:42 time: 0.9160 data_time: 0.3398 memory: 32703 grad_norm: 18.2353 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9066 loss: 0.9066 2022/07/30 20:19:06 - mmengine - INFO - Epoch(train) [44][180/2505] lr: 5.0000e-05 eta: 10:17:23 time: 1.0598 data_time: 0.4700 memory: 32703 grad_norm: 19.2906 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1493 loss: 1.1493 2022/07/30 20:19:25 - mmengine - INFO - Epoch(train) [44][200/2505] lr: 5.0000e-05 eta: 10:17:03 time: 0.9529 data_time: 0.3207 memory: 32703 grad_norm: 18.9382 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1073 loss: 1.1073 2022/07/30 20:19:46 - mmengine - INFO - Epoch(train) [44][220/2505] lr: 5.0000e-05 eta: 10:16:44 time: 1.0688 data_time: 0.2783 memory: 32703 grad_norm: 18.6519 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1144 loss: 1.1144 2022/07/30 20:20:05 - mmengine - INFO - Epoch(train) [44][240/2505] lr: 5.0000e-05 eta: 10:16:23 time: 0.9263 data_time: 0.1073 memory: 32703 grad_norm: 18.0981 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8974 loss: 0.8974 2022/07/30 20:20:26 - mmengine - INFO - Epoch(train) [44][260/2505] lr: 5.0000e-05 eta: 10:16:04 time: 1.0517 data_time: 0.0547 memory: 32703 grad_norm: 18.9461 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9448 loss: 0.9448 2022/07/30 20:20:44 - mmengine - INFO - Epoch(train) [44][280/2505] lr: 5.0000e-05 eta: 10:15:44 time: 0.9233 data_time: 0.0461 memory: 32703 grad_norm: 18.4479 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0854 loss: 1.0854 2022/07/30 20:20:50 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 20:21:05 - mmengine - INFO - Epoch(train) [44][300/2505] lr: 5.0000e-05 eta: 10:15:24 time: 1.0391 data_time: 0.0328 memory: 32703 grad_norm: 19.2615 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0407 loss: 1.0407 2022/07/30 20:21:23 - mmengine - INFO - Epoch(train) [44][320/2505] lr: 5.0000e-05 eta: 10:15:04 time: 0.8888 data_time: 0.0277 memory: 32703 grad_norm: 18.9897 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0360 loss: 1.0360 2022/07/30 20:21:45 - mmengine - INFO - Epoch(train) [44][340/2505] lr: 5.0000e-05 eta: 10:14:45 time: 1.0874 data_time: 0.0279 memory: 32703 grad_norm: 19.2230 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8006 loss: 0.8006 2022/07/30 20:22:03 - mmengine - INFO - Epoch(train) [44][360/2505] lr: 5.0000e-05 eta: 10:14:24 time: 0.9177 data_time: 0.0299 memory: 32703 grad_norm: 18.8455 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9832 loss: 0.9832 2022/07/30 20:22:24 - mmengine - INFO - Epoch(train) [44][380/2505] lr: 5.0000e-05 eta: 10:14:05 time: 1.0783 data_time: 0.0280 memory: 32703 grad_norm: 18.8749 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1090 loss: 1.1090 2022/07/30 20:22:43 - mmengine - INFO - Epoch(train) [44][400/2505] lr: 5.0000e-05 eta: 10:13:45 time: 0.9170 data_time: 0.0298 memory: 32703 grad_norm: 19.1228 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0667 loss: 1.0667 2022/07/30 20:23:05 - mmengine - INFO - Epoch(train) [44][420/2505] lr: 5.0000e-05 eta: 10:13:26 time: 1.0943 data_time: 0.0306 memory: 32703 grad_norm: 19.6610 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1596 loss: 1.1596 2022/07/30 20:23:22 - mmengine - INFO - Epoch(train) [44][440/2505] lr: 5.0000e-05 eta: 10:13:05 time: 0.8855 data_time: 0.0282 memory: 32703 grad_norm: 18.5309 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0041 loss: 1.0041 2022/07/30 20:23:45 - mmengine - INFO - Epoch(train) [44][460/2505] lr: 5.0000e-05 eta: 10:12:46 time: 1.1190 data_time: 0.0299 memory: 32703 grad_norm: 19.0696 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1997 loss: 1.1997 2022/07/30 20:24:02 - mmengine - INFO - Epoch(train) [44][480/2505] lr: 5.0000e-05 eta: 10:12:25 time: 0.8419 data_time: 0.0264 memory: 32703 grad_norm: 18.7637 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8470 loss: 0.8470 2022/07/30 20:24:24 - mmengine - INFO - Epoch(train) [44][500/2505] lr: 5.0000e-05 eta: 10:12:07 time: 1.1379 data_time: 0.0278 memory: 32703 grad_norm: 18.4777 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0255 loss: 1.0255 2022/07/30 20:24:42 - mmengine - INFO - Epoch(train) [44][520/2505] lr: 5.0000e-05 eta: 10:11:46 time: 0.8555 data_time: 0.0277 memory: 32703 grad_norm: 18.8455 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9591 loss: 0.9591 2022/07/30 20:25:04 - mmengine - INFO - Epoch(train) [44][540/2505] lr: 5.0000e-05 eta: 10:11:27 time: 1.1085 data_time: 0.0305 memory: 32703 grad_norm: 19.3282 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0028 loss: 1.0028 2022/07/30 20:25:21 - mmengine - INFO - Epoch(train) [44][560/2505] lr: 5.0000e-05 eta: 10:11:06 time: 0.8844 data_time: 0.0263 memory: 32703 grad_norm: 19.0231 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0550 loss: 1.0550 2022/07/30 20:25:43 - mmengine - INFO - Epoch(train) [44][580/2505] lr: 5.0000e-05 eta: 10:10:47 time: 1.1003 data_time: 0.0294 memory: 32703 grad_norm: 18.7113 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9982 loss: 0.9982 2022/07/30 20:26:02 - mmengine - INFO - Epoch(train) [44][600/2505] lr: 5.0000e-05 eta: 10:10:27 time: 0.9158 data_time: 0.0258 memory: 32703 grad_norm: 18.8818 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8688 loss: 0.8688 2022/07/30 20:26:23 - mmengine - INFO - Epoch(train) [44][620/2505] lr: 5.0000e-05 eta: 10:10:08 time: 1.0694 data_time: 0.0282 memory: 32703 grad_norm: 20.0992 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0685 loss: 1.0685 2022/07/30 20:26:41 - mmengine - INFO - Epoch(train) [44][640/2505] lr: 5.0000e-05 eta: 10:09:47 time: 0.8909 data_time: 0.0271 memory: 32703 grad_norm: 18.6425 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0694 loss: 1.0694 2022/07/30 20:27:01 - mmengine - INFO - Epoch(train) [44][660/2505] lr: 5.0000e-05 eta: 10:09:27 time: 0.9943 data_time: 0.0286 memory: 32703 grad_norm: 20.0489 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0372 loss: 1.0372 2022/07/30 20:27:19 - mmengine - INFO - Epoch(train) [44][680/2505] lr: 5.0000e-05 eta: 10:09:07 time: 0.9092 data_time: 0.0338 memory: 32703 grad_norm: 19.9725 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0747 loss: 1.0747 2022/07/30 20:27:41 - mmengine - INFO - Epoch(train) [44][700/2505] lr: 5.0000e-05 eta: 10:08:48 time: 1.0784 data_time: 0.0275 memory: 32703 grad_norm: 18.4833 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9721 loss: 0.9721 2022/07/30 20:27:58 - mmengine - INFO - Epoch(train) [44][720/2505] lr: 5.0000e-05 eta: 10:08:27 time: 0.8927 data_time: 0.0332 memory: 32703 grad_norm: 18.9910 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0692 loss: 1.0692 2022/07/30 20:28:20 - mmengine - INFO - Epoch(train) [44][740/2505] lr: 5.0000e-05 eta: 10:08:08 time: 1.0624 data_time: 0.0304 memory: 32703 grad_norm: 18.9852 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1453 loss: 1.1453 2022/07/30 20:28:37 - mmengine - INFO - Epoch(train) [44][760/2505] lr: 5.0000e-05 eta: 10:07:47 time: 0.8718 data_time: 0.0348 memory: 32703 grad_norm: 18.1804 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1898 loss: 1.1898 2022/07/30 20:28:59 - mmengine - INFO - Epoch(train) [44][780/2505] lr: 5.0000e-05 eta: 10:07:28 time: 1.0749 data_time: 0.0280 memory: 32703 grad_norm: 18.9216 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8392 loss: 0.8392 2022/07/30 20:29:17 - mmengine - INFO - Epoch(train) [44][800/2505] lr: 5.0000e-05 eta: 10:07:08 time: 0.8996 data_time: 0.0397 memory: 32703 grad_norm: 19.0595 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8142 loss: 0.8142 2022/07/30 20:29:39 - mmengine - INFO - Epoch(train) [44][820/2505] lr: 5.0000e-05 eta: 10:06:49 time: 1.1138 data_time: 0.0363 memory: 32703 grad_norm: 19.5245 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0915 loss: 1.0915 2022/07/30 20:29:57 - mmengine - INFO - Epoch(train) [44][840/2505] lr: 5.0000e-05 eta: 10:06:28 time: 0.8976 data_time: 0.0286 memory: 32703 grad_norm: 18.3841 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7429 loss: 0.7429 2022/07/30 20:30:18 - mmengine - INFO - Epoch(train) [44][860/2505] lr: 5.0000e-05 eta: 10:06:09 time: 1.0281 data_time: 0.0280 memory: 32703 grad_norm: 18.5269 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9880 loss: 0.9880 2022/07/30 20:30:36 - mmengine - INFO - Epoch(train) [44][880/2505] lr: 5.0000e-05 eta: 10:05:48 time: 0.9231 data_time: 0.0297 memory: 32703 grad_norm: 20.1021 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0856 loss: 1.0856 2022/07/30 20:30:57 - mmengine - INFO - Epoch(train) [44][900/2505] lr: 5.0000e-05 eta: 10:05:29 time: 1.0567 data_time: 0.0337 memory: 32703 grad_norm: 19.1206 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.1892 loss: 1.1892 2022/07/30 20:31:15 - mmengine - INFO - Epoch(train) [44][920/2505] lr: 5.0000e-05 eta: 10:05:08 time: 0.8671 data_time: 0.0268 memory: 32703 grad_norm: 18.2581 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0121 loss: 1.0121 2022/07/30 20:31:36 - mmengine - INFO - Epoch(train) [44][940/2505] lr: 5.0000e-05 eta: 10:04:49 time: 1.0547 data_time: 0.0314 memory: 32703 grad_norm: 18.3225 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0052 loss: 1.0052 2022/07/30 20:31:54 - mmengine - INFO - Epoch(train) [44][960/2505] lr: 5.0000e-05 eta: 10:04:29 time: 0.9099 data_time: 0.0305 memory: 32703 grad_norm: 18.8354 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8996 loss: 0.8996 2022/07/30 20:32:14 - mmengine - INFO - Epoch(train) [44][980/2505] lr: 5.0000e-05 eta: 10:04:09 time: 1.0200 data_time: 0.0275 memory: 32703 grad_norm: 18.4430 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0076 loss: 1.0076 2022/07/30 20:32:33 - mmengine - INFO - Epoch(train) [44][1000/2505] lr: 5.0000e-05 eta: 10:03:49 time: 0.9166 data_time: 0.0307 memory: 32703 grad_norm: 19.6575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0272 loss: 1.0272 2022/07/30 20:32:54 - mmengine - INFO - Epoch(train) [44][1020/2505] lr: 5.0000e-05 eta: 10:03:29 time: 1.0605 data_time: 0.0270 memory: 32703 grad_norm: 18.1641 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7701 loss: 0.7701 2022/07/30 20:33:12 - mmengine - INFO - Epoch(train) [44][1040/2505] lr: 5.0000e-05 eta: 10:03:09 time: 0.9119 data_time: 0.0288 memory: 32703 grad_norm: 19.8201 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0970 loss: 1.0970 2022/07/30 20:33:33 - mmengine - INFO - Epoch(train) [44][1060/2505] lr: 5.0000e-05 eta: 10:02:50 time: 1.0407 data_time: 0.0276 memory: 32703 grad_norm: 19.1043 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0557 loss: 1.0557 2022/07/30 20:33:51 - mmengine - INFO - Epoch(train) [44][1080/2505] lr: 5.0000e-05 eta: 10:02:29 time: 0.9146 data_time: 0.0286 memory: 32703 grad_norm: 18.8772 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8093 loss: 0.8093 2022/07/30 20:34:13 - mmengine - INFO - Epoch(train) [44][1100/2505] lr: 5.0000e-05 eta: 10:02:10 time: 1.0782 data_time: 0.0275 memory: 32703 grad_norm: 18.5186 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0793 loss: 1.0793 2022/07/30 20:34:31 - mmengine - INFO - Epoch(train) [44][1120/2505] lr: 5.0000e-05 eta: 10:01:50 time: 0.9047 data_time: 0.0267 memory: 32703 grad_norm: 18.4491 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0219 loss: 1.0219 2022/07/30 20:34:52 - mmengine - INFO - Epoch(train) [44][1140/2505] lr: 5.0000e-05 eta: 10:01:30 time: 1.0574 data_time: 0.0294 memory: 32703 grad_norm: 18.3335 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0773 loss: 1.0773 2022/07/30 20:35:10 - mmengine - INFO - Epoch(train) [44][1160/2505] lr: 5.0000e-05 eta: 10:01:10 time: 0.9068 data_time: 0.0291 memory: 32703 grad_norm: 18.6250 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9335 loss: 0.9335 2022/07/30 20:35:31 - mmengine - INFO - Epoch(train) [44][1180/2505] lr: 5.0000e-05 eta: 10:00:50 time: 1.0244 data_time: 0.0278 memory: 32703 grad_norm: 18.7030 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9743 loss: 0.9743 2022/07/30 20:35:49 - mmengine - INFO - Epoch(train) [44][1200/2505] lr: 5.0000e-05 eta: 10:00:30 time: 0.9236 data_time: 0.0265 memory: 32703 grad_norm: 18.1977 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9582 loss: 0.9582 2022/07/30 20:36:10 - mmengine - INFO - Epoch(train) [44][1220/2505] lr: 5.0000e-05 eta: 10:00:11 time: 1.0330 data_time: 0.0281 memory: 32703 grad_norm: 19.4352 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7650 loss: 0.7650 2022/07/30 20:36:28 - mmengine - INFO - Epoch(train) [44][1240/2505] lr: 5.0000e-05 eta: 9:59:50 time: 0.9375 data_time: 0.0273 memory: 32703 grad_norm: 20.1124 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9841 loss: 0.9841 2022/07/30 20:36:48 - mmengine - INFO - Epoch(train) [44][1260/2505] lr: 5.0000e-05 eta: 9:59:31 time: 0.9968 data_time: 0.0297 memory: 32703 grad_norm: 18.5982 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0969 loss: 1.0969 2022/07/30 20:37:07 - mmengine - INFO - Epoch(train) [44][1280/2505] lr: 5.0000e-05 eta: 9:59:11 time: 0.9533 data_time: 0.0323 memory: 32703 grad_norm: 18.9221 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1229 loss: 1.1229 2022/07/30 20:37:13 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 20:37:28 - mmengine - INFO - Epoch(train) [44][1300/2505] lr: 5.0000e-05 eta: 9:58:51 time: 1.0152 data_time: 0.0280 memory: 32703 grad_norm: 18.6396 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9523 loss: 0.9523 2022/07/30 20:37:46 - mmengine - INFO - Epoch(train) [44][1320/2505] lr: 5.0000e-05 eta: 9:58:31 time: 0.9295 data_time: 0.0287 memory: 32703 grad_norm: 19.6554 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0777 loss: 1.0777 2022/07/30 20:38:08 - mmengine - INFO - Epoch(train) [44][1340/2505] lr: 5.0000e-05 eta: 9:58:11 time: 1.0674 data_time: 0.0272 memory: 32703 grad_norm: 18.0690 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8119 loss: 0.8119 2022/07/30 20:38:26 - mmengine - INFO - Epoch(train) [44][1360/2505] lr: 5.0000e-05 eta: 9:57:51 time: 0.9090 data_time: 0.0288 memory: 32703 grad_norm: 19.5727 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3087 loss: 1.3087 2022/07/30 20:38:47 - mmengine - INFO - Epoch(train) [44][1380/2505] lr: 5.0000e-05 eta: 9:57:32 time: 1.0647 data_time: 0.0287 memory: 32703 grad_norm: 19.8606 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0824 loss: 1.0824 2022/07/30 20:39:06 - mmengine - INFO - Epoch(train) [44][1400/2505] lr: 5.0000e-05 eta: 9:57:12 time: 0.9282 data_time: 0.0261 memory: 32703 grad_norm: 19.0836 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0436 loss: 1.0436 2022/07/30 20:39:27 - mmengine - INFO - Epoch(train) [44][1420/2505] lr: 5.0000e-05 eta: 9:56:52 time: 1.0531 data_time: 0.0273 memory: 32703 grad_norm: 19.4115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2318 loss: 1.2318 2022/07/30 20:39:44 - mmengine - INFO - Epoch(train) [44][1440/2505] lr: 5.0000e-05 eta: 9:56:32 time: 0.8742 data_time: 0.0255 memory: 32703 grad_norm: 19.3840 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0115 loss: 1.0115 2022/07/30 20:40:06 - mmengine - INFO - Epoch(train) [44][1460/2505] lr: 5.0000e-05 eta: 9:56:12 time: 1.0951 data_time: 0.0267 memory: 32703 grad_norm: 18.7870 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0756 loss: 1.0756 2022/07/30 20:40:24 - mmengine - INFO - Epoch(train) [44][1480/2505] lr: 5.0000e-05 eta: 9:55:52 time: 0.8803 data_time: 0.0260 memory: 32703 grad_norm: 18.2375 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0644 loss: 1.0644 2022/07/30 20:40:46 - mmengine - INFO - Epoch(train) [44][1500/2505] lr: 5.0000e-05 eta: 9:55:33 time: 1.0815 data_time: 0.0298 memory: 32703 grad_norm: 18.9589 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8900 loss: 0.8900 2022/07/30 20:41:02 - mmengine - INFO - Epoch(train) [44][1520/2505] lr: 5.0000e-05 eta: 9:55:12 time: 0.8359 data_time: 0.0260 memory: 32703 grad_norm: 19.8152 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0406 loss: 1.0406 2022/07/30 20:41:23 - mmengine - INFO - Epoch(train) [44][1540/2505] lr: 5.0000e-05 eta: 9:54:52 time: 1.0216 data_time: 0.0269 memory: 32703 grad_norm: 19.1314 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0686 loss: 1.0686 2022/07/30 20:41:42 - mmengine - INFO - Epoch(train) [44][1560/2505] lr: 5.0000e-05 eta: 9:54:32 time: 0.9479 data_time: 0.0349 memory: 32703 grad_norm: 18.9741 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2261 loss: 1.2261 2022/07/30 20:42:03 - mmengine - INFO - Epoch(train) [44][1580/2505] lr: 5.0000e-05 eta: 9:54:13 time: 1.0702 data_time: 0.0283 memory: 32703 grad_norm: 19.1609 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8671 loss: 0.8671 2022/07/30 20:42:21 - mmengine - INFO - Epoch(train) [44][1600/2505] lr: 5.0000e-05 eta: 9:53:53 time: 0.9083 data_time: 0.0329 memory: 32703 grad_norm: 19.4249 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1047 loss: 1.1047 2022/07/30 20:42:43 - mmengine - INFO - Epoch(train) [44][1620/2505] lr: 5.0000e-05 eta: 9:53:33 time: 1.0591 data_time: 0.0334 memory: 32703 grad_norm: 18.9145 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9190 loss: 0.9190 2022/07/30 20:43:01 - mmengine - INFO - Epoch(train) [44][1640/2505] lr: 5.0000e-05 eta: 9:53:13 time: 0.9081 data_time: 0.0346 memory: 32703 grad_norm: 19.9419 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1259 loss: 1.1259 2022/07/30 20:43:21 - mmengine - INFO - Epoch(train) [44][1660/2505] lr: 5.0000e-05 eta: 9:52:53 time: 1.0382 data_time: 0.0291 memory: 32703 grad_norm: 20.5825 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2779 loss: 1.2779 2022/07/30 20:43:39 - mmengine - INFO - Epoch(train) [44][1680/2505] lr: 5.0000e-05 eta: 9:52:33 time: 0.8928 data_time: 0.0297 memory: 32703 grad_norm: 18.7481 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0663 loss: 1.0663 2022/07/30 20:44:00 - mmengine - INFO - Epoch(train) [44][1700/2505] lr: 5.0000e-05 eta: 9:52:14 time: 1.0514 data_time: 0.0331 memory: 32703 grad_norm: 18.7233 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1395 loss: 1.1395 2022/07/30 20:44:18 - mmengine - INFO - Epoch(train) [44][1720/2505] lr: 5.0000e-05 eta: 9:51:53 time: 0.9032 data_time: 0.0278 memory: 32703 grad_norm: 18.5649 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9483 loss: 0.9483 2022/07/30 20:44:40 - mmengine - INFO - Epoch(train) [44][1740/2505] lr: 5.0000e-05 eta: 9:51:34 time: 1.0837 data_time: 0.0347 memory: 32703 grad_norm: 18.2941 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0337 loss: 1.0337 2022/07/30 20:44:58 - mmengine - INFO - Epoch(train) [44][1760/2505] lr: 5.0000e-05 eta: 9:51:13 time: 0.8826 data_time: 0.0301 memory: 32703 grad_norm: 18.8848 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9553 loss: 0.9553 2022/07/30 20:45:20 - mmengine - INFO - Epoch(train) [44][1780/2505] lr: 5.0000e-05 eta: 9:50:54 time: 1.1038 data_time: 0.0332 memory: 32703 grad_norm: 19.5370 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8275 loss: 0.8275 2022/07/30 20:45:39 - mmengine - INFO - Epoch(train) [44][1800/2505] lr: 5.0000e-05 eta: 9:50:34 time: 0.9402 data_time: 0.0277 memory: 32703 grad_norm: 17.8494 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0159 loss: 1.0159 2022/07/30 20:45:59 - mmengine - INFO - Epoch(train) [44][1820/2505] lr: 5.0000e-05 eta: 9:50:15 time: 1.0369 data_time: 0.0316 memory: 32703 grad_norm: 19.0043 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0195 loss: 1.0195 2022/07/30 20:46:18 - mmengine - INFO - Epoch(train) [44][1840/2505] lr: 5.0000e-05 eta: 9:49:55 time: 0.9428 data_time: 0.0289 memory: 32703 grad_norm: 18.5802 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0057 loss: 1.0057 2022/07/30 20:46:39 - mmengine - INFO - Epoch(train) [44][1860/2505] lr: 5.0000e-05 eta: 9:49:35 time: 1.0540 data_time: 0.0290 memory: 32703 grad_norm: 19.7970 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1063 loss: 1.1063 2022/07/30 20:46:57 - mmengine - INFO - Epoch(train) [44][1880/2505] lr: 5.0000e-05 eta: 9:49:15 time: 0.8813 data_time: 0.0278 memory: 32703 grad_norm: 18.3063 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.7466 loss: 0.7466 2022/07/30 20:47:18 - mmengine - INFO - Epoch(train) [44][1900/2505] lr: 5.0000e-05 eta: 9:48:55 time: 1.0550 data_time: 0.0290 memory: 32703 grad_norm: 18.8782 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9495 loss: 0.9495 2022/07/30 20:47:36 - mmengine - INFO - Epoch(train) [44][1920/2505] lr: 5.0000e-05 eta: 9:48:35 time: 0.8922 data_time: 0.0275 memory: 32703 grad_norm: 19.4551 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9739 loss: 0.9739 2022/07/30 20:47:57 - mmengine - INFO - Epoch(train) [44][1940/2505] lr: 5.0000e-05 eta: 9:48:16 time: 1.0701 data_time: 0.0289 memory: 32703 grad_norm: 19.0580 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9631 loss: 0.9631 2022/07/30 20:48:15 - mmengine - INFO - Epoch(train) [44][1960/2505] lr: 5.0000e-05 eta: 9:47:55 time: 0.8627 data_time: 0.0253 memory: 32703 grad_norm: 19.0011 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0879 loss: 1.0879 2022/07/30 20:48:36 - mmengine - INFO - Epoch(train) [44][1980/2505] lr: 5.0000e-05 eta: 9:47:36 time: 1.0687 data_time: 0.0287 memory: 32703 grad_norm: 19.0694 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0715 loss: 1.0715 2022/07/30 20:48:54 - mmengine - INFO - Epoch(train) [44][2000/2505] lr: 5.0000e-05 eta: 9:47:15 time: 0.8856 data_time: 0.0268 memory: 32703 grad_norm: 18.4405 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8513 loss: 0.8513 2022/07/30 20:49:15 - mmengine - INFO - Epoch(train) [44][2020/2505] lr: 5.0000e-05 eta: 9:46:56 time: 1.0602 data_time: 0.0307 memory: 32703 grad_norm: 19.0497 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1110 loss: 1.1110 2022/07/30 20:49:33 - mmengine - INFO - Epoch(train) [44][2040/2505] lr: 5.0000e-05 eta: 9:46:35 time: 0.8824 data_time: 0.0349 memory: 32703 grad_norm: 19.0577 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0626 loss: 1.0626 2022/07/30 20:49:55 - mmengine - INFO - Epoch(train) [44][2060/2505] lr: 5.0000e-05 eta: 9:46:16 time: 1.1058 data_time: 0.0319 memory: 32703 grad_norm: 18.4818 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9790 loss: 0.9790 2022/07/30 20:50:13 - mmengine - INFO - Epoch(train) [44][2080/2505] lr: 5.0000e-05 eta: 9:45:56 time: 0.9253 data_time: 0.0301 memory: 32703 grad_norm: 18.9870 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0351 loss: 1.0351 2022/07/30 20:50:34 - mmengine - INFO - Epoch(train) [44][2100/2505] lr: 5.0000e-05 eta: 9:45:36 time: 1.0306 data_time: 0.0291 memory: 32703 grad_norm: 19.0135 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9203 loss: 0.9203 2022/07/30 20:50:52 - mmengine - INFO - Epoch(train) [44][2120/2505] lr: 5.0000e-05 eta: 9:45:16 time: 0.9101 data_time: 0.0272 memory: 32703 grad_norm: 19.1974 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8932 loss: 0.8932 2022/07/30 20:51:13 - mmengine - INFO - Epoch(train) [44][2140/2505] lr: 5.0000e-05 eta: 9:44:57 time: 1.0395 data_time: 0.0297 memory: 32703 grad_norm: 18.1211 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0363 loss: 1.0363 2022/07/30 20:51:32 - mmengine - INFO - Epoch(train) [44][2160/2505] lr: 5.0000e-05 eta: 9:44:37 time: 0.9533 data_time: 0.0309 memory: 32703 grad_norm: 19.1789 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0896 loss: 1.0896 2022/07/30 20:51:52 - mmengine - INFO - Epoch(train) [44][2180/2505] lr: 5.0000e-05 eta: 9:44:17 time: 1.0283 data_time: 0.0295 memory: 32703 grad_norm: 19.6570 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2491 loss: 1.2491 2022/07/30 20:52:12 - mmengine - INFO - Epoch(train) [44][2200/2505] lr: 5.0000e-05 eta: 9:43:57 time: 0.9565 data_time: 0.0281 memory: 32703 grad_norm: 20.2977 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0725 loss: 1.0725 2022/07/30 20:52:30 - mmengine - INFO - Epoch(train) [44][2220/2505] lr: 5.0000e-05 eta: 9:43:37 time: 0.9414 data_time: 0.0291 memory: 32703 grad_norm: 18.0340 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8338 loss: 0.8338 2022/07/30 20:52:49 - mmengine - INFO - Epoch(train) [44][2240/2505] lr: 5.0000e-05 eta: 9:43:17 time: 0.9127 data_time: 0.0300 memory: 32703 grad_norm: 19.2731 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0526 loss: 1.0526 2022/07/30 20:53:10 - mmengine - INFO - Epoch(train) [44][2260/2505] lr: 5.0000e-05 eta: 9:42:57 time: 1.0501 data_time: 0.0284 memory: 32703 grad_norm: 19.1243 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2259 loss: 1.2259 2022/07/30 20:53:28 - mmengine - INFO - Epoch(train) [44][2280/2505] lr: 5.0000e-05 eta: 9:42:37 time: 0.9373 data_time: 0.0281 memory: 32703 grad_norm: 19.5148 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1372 loss: 1.1372 2022/07/30 20:53:34 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 20:53:49 - mmengine - INFO - Epoch(train) [44][2300/2505] lr: 5.0000e-05 eta: 9:42:17 time: 1.0415 data_time: 0.0279 memory: 32703 grad_norm: 19.8781 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2516 loss: 1.2516 2022/07/30 20:54:08 - mmengine - INFO - Epoch(train) [44][2320/2505] lr: 5.0000e-05 eta: 9:41:57 time: 0.9305 data_time: 0.0264 memory: 32703 grad_norm: 19.3972 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1038 loss: 1.1038 2022/07/30 20:54:30 - mmengine - INFO - Epoch(train) [44][2340/2505] lr: 5.0000e-05 eta: 9:41:38 time: 1.0951 data_time: 0.0351 memory: 32703 grad_norm: 18.6949 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9764 loss: 0.9764 2022/07/30 20:54:47 - mmengine - INFO - Epoch(train) [44][2360/2505] lr: 5.0000e-05 eta: 9:41:17 time: 0.8641 data_time: 0.0271 memory: 32703 grad_norm: 18.6209 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9117 loss: 0.9117 2022/07/30 20:55:10 - mmengine - INFO - Epoch(train) [44][2380/2505] lr: 5.0000e-05 eta: 9:40:59 time: 1.1213 data_time: 0.0322 memory: 32703 grad_norm: 19.1208 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9594 loss: 0.9594 2022/07/30 20:55:28 - mmengine - INFO - Epoch(train) [44][2400/2505] lr: 5.0000e-05 eta: 9:40:38 time: 0.9180 data_time: 0.0272 memory: 32703 grad_norm: 19.6466 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2348 loss: 1.2348 2022/07/30 20:55:48 - mmengine - INFO - Epoch(train) [44][2420/2505] lr: 5.0000e-05 eta: 9:40:19 time: 1.0245 data_time: 0.0340 memory: 32703 grad_norm: 19.4029 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 0.9750 loss: 0.9750 2022/07/30 20:56:06 - mmengine - INFO - Epoch(train) [44][2440/2505] lr: 5.0000e-05 eta: 9:39:58 time: 0.8893 data_time: 0.0274 memory: 32703 grad_norm: 18.8433 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0659 loss: 1.0659 2022/07/30 20:56:29 - mmengine - INFO - Epoch(train) [44][2460/2505] lr: 5.0000e-05 eta: 9:39:39 time: 1.1344 data_time: 0.0284 memory: 32703 grad_norm: 18.4812 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0196 loss: 1.0196 2022/07/30 20:56:45 - mmengine - INFO - Epoch(train) [44][2480/2505] lr: 5.0000e-05 eta: 9:39:18 time: 0.8188 data_time: 0.0292 memory: 32703 grad_norm: 19.2606 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8366 loss: 0.8366 2022/07/30 20:57:04 - mmengine - INFO - Epoch(train) [44][2500/2505] lr: 5.0000e-05 eta: 9:38:58 time: 0.9128 data_time: 0.0319 memory: 32703 grad_norm: 19.5043 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1546 loss: 1.1546 2022/07/30 20:57:07 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 20:57:07 - mmengine - INFO - Epoch(train) [44][2505/2505] lr: 5.0000e-05 eta: 9:38:58 time: 0.7559 data_time: 0.0264 memory: 32703 grad_norm: 19.7293 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1932 loss: 1.1932 2022/07/30 20:57:07 - mmengine - INFO - Saving checkpoint at 44 epochs 2022/07/30 20:57:34 - mmengine - INFO - Epoch(train) [45][20/2505] lr: 5.0000e-05 eta: 9:38:33 time: 1.2587 data_time: 0.6734 memory: 32703 grad_norm: 18.6513 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0543 loss: 1.0543 2022/07/30 20:57:52 - mmengine - INFO - Epoch(train) [45][40/2505] lr: 5.0000e-05 eta: 9:38:13 time: 0.9052 data_time: 0.3196 memory: 32703 grad_norm: 19.1451 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0658 loss: 1.0658 2022/07/30 20:58:13 - mmengine - INFO - Epoch(train) [45][60/2505] lr: 5.0000e-05 eta: 9:37:54 time: 1.0824 data_time: 0.4859 memory: 32703 grad_norm: 18.7108 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1194 loss: 1.1194 2022/07/30 20:58:31 - mmengine - INFO - Epoch(train) [45][80/2505] lr: 5.0000e-05 eta: 9:37:34 time: 0.8984 data_time: 0.3088 memory: 32703 grad_norm: 18.7817 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8880 loss: 0.8880 2022/07/30 20:58:53 - mmengine - INFO - Epoch(train) [45][100/2505] lr: 5.0000e-05 eta: 9:37:14 time: 1.0621 data_time: 0.4778 memory: 32703 grad_norm: 18.8492 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0587 loss: 1.0587 2022/07/30 20:59:11 - mmengine - INFO - Epoch(train) [45][120/2505] lr: 5.0000e-05 eta: 9:36:54 time: 0.9121 data_time: 0.3285 memory: 32703 grad_norm: 19.7575 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0916 loss: 1.0916 2022/07/30 20:59:33 - mmengine - INFO - Epoch(train) [45][140/2505] lr: 5.0000e-05 eta: 9:36:35 time: 1.0934 data_time: 0.4985 memory: 32703 grad_norm: 18.7821 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2267 loss: 1.2267 2022/07/30 20:59:50 - mmengine - INFO - Epoch(train) [45][160/2505] lr: 5.0000e-05 eta: 9:36:14 time: 0.8817 data_time: 0.3110 memory: 32703 grad_norm: 19.8416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0984 loss: 1.0984 2022/07/30 21:00:12 - mmengine - INFO - Epoch(train) [45][180/2505] lr: 5.0000e-05 eta: 9:35:55 time: 1.0810 data_time: 0.4855 memory: 32703 grad_norm: 19.2919 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8757 loss: 0.8757 2022/07/30 21:00:30 - mmengine - INFO - Epoch(train) [45][200/2505] lr: 5.0000e-05 eta: 9:35:35 time: 0.9215 data_time: 0.3303 memory: 32703 grad_norm: 18.7243 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0864 loss: 1.0864 2022/07/30 21:00:51 - mmengine - INFO - Epoch(train) [45][220/2505] lr: 5.0000e-05 eta: 9:35:15 time: 1.0401 data_time: 0.4661 memory: 32703 grad_norm: 18.5224 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8187 loss: 0.8187 2022/07/30 21:01:09 - mmengine - INFO - Epoch(train) [45][240/2505] lr: 5.0000e-05 eta: 9:34:55 time: 0.9063 data_time: 0.2963 memory: 32703 grad_norm: 19.0948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0791 loss: 1.0791 2022/07/30 21:01:31 - mmengine - INFO - Epoch(train) [45][260/2505] lr: 5.0000e-05 eta: 9:34:36 time: 1.0592 data_time: 0.4666 memory: 32703 grad_norm: 18.4758 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0044 loss: 1.0044 2022/07/30 21:01:49 - mmengine - INFO - Epoch(train) [45][280/2505] lr: 5.0000e-05 eta: 9:34:15 time: 0.9287 data_time: 0.3323 memory: 32703 grad_norm: 18.3127 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2160 loss: 1.2160 2022/07/30 21:02:10 - mmengine - INFO - Epoch(train) [45][300/2505] lr: 5.0000e-05 eta: 9:33:56 time: 1.0218 data_time: 0.4450 memory: 32703 grad_norm: 18.9797 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0598 loss: 1.0598 2022/07/30 21:02:28 - mmengine - INFO - Epoch(train) [45][320/2505] lr: 5.0000e-05 eta: 9:33:36 time: 0.9271 data_time: 0.3163 memory: 32703 grad_norm: 19.7940 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1099 loss: 1.1099 2022/07/30 21:02:49 - mmengine - INFO - Epoch(train) [45][340/2505] lr: 5.0000e-05 eta: 9:33:16 time: 1.0650 data_time: 0.4642 memory: 32703 grad_norm: 17.7898 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0338 loss: 1.0338 2022/07/30 21:03:08 - mmengine - INFO - Epoch(train) [45][360/2505] lr: 5.0000e-05 eta: 9:32:56 time: 0.9375 data_time: 0.3203 memory: 32703 grad_norm: 18.8889 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1362 loss: 1.1362 2022/07/30 21:03:30 - mmengine - INFO - Epoch(train) [45][380/2505] lr: 5.0000e-05 eta: 9:32:37 time: 1.0611 data_time: 0.4492 memory: 32703 grad_norm: 19.2689 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9782 loss: 0.9782 2022/07/30 21:03:48 - mmengine - INFO - Epoch(train) [45][400/2505] lr: 5.0000e-05 eta: 9:32:16 time: 0.9075 data_time: 0.2943 memory: 32703 grad_norm: 18.9822 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1019 loss: 1.1019 2022/07/30 21:04:08 - mmengine - INFO - Epoch(train) [45][420/2505] lr: 5.0000e-05 eta: 9:31:57 time: 1.0334 data_time: 0.4521 memory: 32703 grad_norm: 19.2153 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8548 loss: 0.8548 2022/07/30 21:04:28 - mmengine - INFO - Epoch(train) [45][440/2505] lr: 5.0000e-05 eta: 9:31:37 time: 0.9792 data_time: 0.3686 memory: 32703 grad_norm: 17.9688 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9749 loss: 0.9749 2022/07/30 21:04:47 - mmengine - INFO - Epoch(train) [45][460/2505] lr: 5.0000e-05 eta: 9:31:17 time: 0.9670 data_time: 0.3699 memory: 32703 grad_norm: 19.7830 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9099 loss: 0.9099 2022/07/30 21:05:05 - mmengine - INFO - Epoch(train) [45][480/2505] lr: 5.0000e-05 eta: 9:30:56 time: 0.8762 data_time: 0.2905 memory: 32703 grad_norm: 19.0163 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1010 loss: 1.1010 2022/07/30 21:05:27 - mmengine - INFO - Epoch(train) [45][500/2505] lr: 5.0000e-05 eta: 9:30:37 time: 1.1122 data_time: 0.3477 memory: 32703 grad_norm: 18.2996 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8221 loss: 0.8221 2022/07/30 21:05:45 - mmengine - INFO - Epoch(train) [45][520/2505] lr: 5.0000e-05 eta: 9:30:17 time: 0.8777 data_time: 0.1620 memory: 32703 grad_norm: 18.5005 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0253 loss: 1.0253 2022/07/30 21:06:06 - mmengine - INFO - Epoch(train) [45][540/2505] lr: 5.0000e-05 eta: 9:29:57 time: 1.0479 data_time: 0.3459 memory: 32703 grad_norm: 18.9950 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1271 loss: 1.1271 2022/07/30 21:06:24 - mmengine - INFO - Epoch(train) [45][560/2505] lr: 5.0000e-05 eta: 9:29:37 time: 0.9104 data_time: 0.1854 memory: 32703 grad_norm: 18.5194 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8386 loss: 0.8386 2022/07/30 21:06:45 - mmengine - INFO - Epoch(train) [45][580/2505] lr: 5.0000e-05 eta: 9:29:18 time: 1.0695 data_time: 0.1986 memory: 32703 grad_norm: 18.3103 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8466 loss: 0.8466 2022/07/30 21:07:04 - mmengine - INFO - Epoch(train) [45][600/2505] lr: 5.0000e-05 eta: 9:28:58 time: 0.9460 data_time: 0.0460 memory: 32703 grad_norm: 19.0189 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0286 loss: 1.0286 2022/07/30 21:07:25 - mmengine - INFO - Epoch(train) [45][620/2505] lr: 5.0000e-05 eta: 9:28:38 time: 1.0652 data_time: 0.0297 memory: 32703 grad_norm: 18.8123 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9024 loss: 0.9024 2022/07/30 21:07:44 - mmengine - INFO - Epoch(train) [45][640/2505] lr: 5.0000e-05 eta: 9:28:18 time: 0.9264 data_time: 0.0281 memory: 32703 grad_norm: 20.1650 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1567 loss: 1.1567 2022/07/30 21:08:04 - mmengine - INFO - Epoch(train) [45][660/2505] lr: 5.0000e-05 eta: 9:27:58 time: 1.0095 data_time: 0.0287 memory: 32703 grad_norm: 18.9530 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0320 loss: 1.0320 2022/07/30 21:08:22 - mmengine - INFO - Epoch(train) [45][680/2505] lr: 5.0000e-05 eta: 9:27:38 time: 0.8864 data_time: 0.0342 memory: 32703 grad_norm: 18.4477 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1458 loss: 1.1458 2022/07/30 21:08:43 - mmengine - INFO - Epoch(train) [45][700/2505] lr: 5.0000e-05 eta: 9:27:19 time: 1.0419 data_time: 0.0426 memory: 32703 grad_norm: 18.4654 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9758 loss: 0.9758 2022/07/30 21:09:03 - mmengine - INFO - Epoch(train) [45][720/2505] lr: 5.0000e-05 eta: 9:26:59 time: 1.0018 data_time: 0.0262 memory: 32703 grad_norm: 18.7934 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9532 loss: 0.9532 2022/07/30 21:09:23 - mmengine - INFO - Epoch(train) [45][740/2505] lr: 5.0000e-05 eta: 9:26:39 time: 1.0081 data_time: 0.0302 memory: 32703 grad_norm: 19.1774 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0585 loss: 1.0585 2022/07/30 21:09:42 - mmengine - INFO - Epoch(train) [45][760/2505] lr: 5.0000e-05 eta: 9:26:19 time: 0.9529 data_time: 0.0258 memory: 32703 grad_norm: 19.1603 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0630 loss: 1.0630 2022/07/30 21:10:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 21:10:02 - mmengine - INFO - Epoch(train) [45][780/2505] lr: 5.0000e-05 eta: 9:25:59 time: 1.0158 data_time: 0.0306 memory: 32703 grad_norm: 19.0094 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.2337 loss: 1.2337 2022/07/30 21:10:21 - mmengine - INFO - Epoch(train) [45][800/2505] lr: 5.0000e-05 eta: 9:25:39 time: 0.9271 data_time: 0.0340 memory: 32703 grad_norm: 19.4472 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9064 loss: 0.9064 2022/07/30 21:10:42 - mmengine - INFO - Epoch(train) [45][820/2505] lr: 5.0000e-05 eta: 9:25:20 time: 1.0596 data_time: 0.0298 memory: 32703 grad_norm: 19.2470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8996 loss: 0.8996 2022/07/30 21:11:01 - mmengine - INFO - Epoch(train) [45][840/2505] lr: 5.0000e-05 eta: 9:25:00 time: 0.9323 data_time: 0.0288 memory: 32703 grad_norm: 19.6873 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.8662 loss: 0.8662 2022/07/30 21:11:21 - mmengine - INFO - Epoch(train) [45][860/2505] lr: 5.0000e-05 eta: 9:24:40 time: 1.0345 data_time: 0.0282 memory: 32703 grad_norm: 18.4102 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9086 loss: 0.9086 2022/07/30 21:11:38 - mmengine - INFO - Epoch(train) [45][880/2505] lr: 5.0000e-05 eta: 9:24:20 time: 0.8547 data_time: 0.0290 memory: 32703 grad_norm: 19.1444 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7901 loss: 0.7901 2022/07/30 21:12:02 - mmengine - INFO - Epoch(train) [45][900/2505] lr: 5.0000e-05 eta: 9:24:01 time: 1.1574 data_time: 0.0318 memory: 32703 grad_norm: 18.8383 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2745 loss: 1.2745 2022/07/30 21:12:17 - mmengine - INFO - Epoch(train) [45][920/2505] lr: 5.0000e-05 eta: 9:23:40 time: 0.7851 data_time: 0.0275 memory: 32703 grad_norm: 18.8893 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0570 loss: 1.0570 2022/07/30 21:12:40 - mmengine - INFO - Epoch(train) [45][940/2505] lr: 5.0000e-05 eta: 9:23:21 time: 1.1493 data_time: 0.0270 memory: 32703 grad_norm: 18.4078 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0422 loss: 1.0422 2022/07/30 21:12:57 - mmengine - INFO - Epoch(train) [45][960/2505] lr: 5.0000e-05 eta: 9:23:00 time: 0.8112 data_time: 0.0381 memory: 32703 grad_norm: 18.6561 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0248 loss: 1.0248 2022/07/30 21:13:16 - mmengine - INFO - Epoch(train) [45][980/2505] lr: 5.0000e-05 eta: 9:22:40 time: 0.9887 data_time: 0.0260 memory: 32703 grad_norm: 18.7091 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9984 loss: 0.9984 2022/07/30 21:13:34 - mmengine - INFO - Epoch(train) [45][1000/2505] lr: 5.0000e-05 eta: 9:22:20 time: 0.8816 data_time: 0.0311 memory: 32703 grad_norm: 18.6022 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9219 loss: 0.9219 2022/07/30 21:13:55 - mmengine - INFO - Epoch(train) [45][1020/2505] lr: 5.0000e-05 eta: 9:22:00 time: 1.0230 data_time: 0.0277 memory: 32703 grad_norm: 19.0272 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0221 loss: 1.0221 2022/07/30 21:14:13 - mmengine - INFO - Epoch(train) [45][1040/2505] lr: 5.0000e-05 eta: 9:21:40 time: 0.9360 data_time: 0.0324 memory: 32703 grad_norm: 19.3316 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9250 loss: 0.9250 2022/07/30 21:14:34 - mmengine - INFO - Epoch(train) [45][1060/2505] lr: 5.0000e-05 eta: 9:21:20 time: 1.0487 data_time: 0.0269 memory: 32703 grad_norm: 18.3427 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9131 loss: 0.9131 2022/07/30 21:14:53 - mmengine - INFO - Epoch(train) [45][1080/2505] lr: 5.0000e-05 eta: 9:21:00 time: 0.9514 data_time: 0.0289 memory: 32703 grad_norm: 19.4072 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3120 loss: 1.3120 2022/07/30 21:15:15 - mmengine - INFO - Epoch(train) [45][1100/2505] lr: 5.0000e-05 eta: 9:20:41 time: 1.0725 data_time: 0.0291 memory: 32703 grad_norm: 19.5515 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2472 loss: 1.2472 2022/07/30 21:15:33 - mmengine - INFO - Epoch(train) [45][1120/2505] lr: 5.0000e-05 eta: 9:20:21 time: 0.9247 data_time: 0.0285 memory: 32703 grad_norm: 18.2805 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8862 loss: 0.8862 2022/07/30 21:15:55 - mmengine - INFO - Epoch(train) [45][1140/2505] lr: 5.0000e-05 eta: 9:20:02 time: 1.0692 data_time: 0.0262 memory: 32703 grad_norm: 18.5371 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9180 loss: 0.9180 2022/07/30 21:16:13 - mmengine - INFO - Epoch(train) [45][1160/2505] lr: 5.0000e-05 eta: 9:19:41 time: 0.8991 data_time: 0.0329 memory: 32703 grad_norm: 20.2932 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9177 loss: 0.9177 2022/07/30 21:16:33 - mmengine - INFO - Epoch(train) [45][1180/2505] lr: 5.0000e-05 eta: 9:19:22 time: 1.0211 data_time: 0.0282 memory: 32703 grad_norm: 19.9299 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1128 loss: 1.1128 2022/07/30 21:16:52 - mmengine - INFO - Epoch(train) [45][1200/2505] lr: 5.0000e-05 eta: 9:19:02 time: 0.9510 data_time: 0.0800 memory: 32703 grad_norm: 18.5945 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7924 loss: 0.7924 2022/07/30 21:17:14 - mmengine - INFO - Epoch(train) [45][1220/2505] lr: 5.0000e-05 eta: 9:18:42 time: 1.0811 data_time: 0.0340 memory: 32703 grad_norm: 19.0864 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9765 loss: 0.9765 2022/07/30 21:17:32 - mmengine - INFO - Epoch(train) [45][1240/2505] lr: 5.0000e-05 eta: 9:18:22 time: 0.9008 data_time: 0.0337 memory: 32703 grad_norm: 19.0624 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1213 loss: 1.1213 2022/07/30 21:17:53 - mmengine - INFO - Epoch(train) [45][1260/2505] lr: 5.0000e-05 eta: 9:18:03 time: 1.0542 data_time: 0.0696 memory: 32703 grad_norm: 18.0176 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0610 loss: 1.0610 2022/07/30 21:18:11 - mmengine - INFO - Epoch(train) [45][1280/2505] lr: 5.0000e-05 eta: 9:17:42 time: 0.9208 data_time: 0.0699 memory: 32703 grad_norm: 19.1634 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9626 loss: 0.9626 2022/07/30 21:18:31 - mmengine - INFO - Epoch(train) [45][1300/2505] lr: 5.0000e-05 eta: 9:17:23 time: 0.9969 data_time: 0.0369 memory: 32703 grad_norm: 18.9313 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0366 loss: 1.0366 2022/07/30 21:18:49 - mmengine - INFO - Epoch(train) [45][1320/2505] lr: 5.0000e-05 eta: 9:17:02 time: 0.8989 data_time: 0.0441 memory: 32703 grad_norm: 19.3119 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7475 loss: 0.7475 2022/07/30 21:19:10 - mmengine - INFO - Epoch(train) [45][1340/2505] lr: 5.0000e-05 eta: 9:16:43 time: 1.0397 data_time: 0.1298 memory: 32703 grad_norm: 19.8662 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9585 loss: 0.9585 2022/07/30 21:19:29 - mmengine - INFO - Epoch(train) [45][1360/2505] lr: 5.0000e-05 eta: 9:16:23 time: 0.9621 data_time: 0.1456 memory: 32703 grad_norm: 19.5110 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1142 loss: 1.1142 2022/07/30 21:19:50 - mmengine - INFO - Epoch(train) [45][1380/2505] lr: 5.0000e-05 eta: 9:16:03 time: 1.0254 data_time: 0.3483 memory: 32703 grad_norm: 18.5401 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3471 loss: 1.3471 2022/07/30 21:20:09 - mmengine - INFO - Epoch(train) [45][1400/2505] lr: 5.0000e-05 eta: 9:15:43 time: 0.9572 data_time: 0.3584 memory: 32703 grad_norm: 18.2087 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7666 loss: 0.7666 2022/07/30 21:20:30 - mmengine - INFO - Epoch(train) [45][1420/2505] lr: 5.0000e-05 eta: 9:15:24 time: 1.0445 data_time: 0.4223 memory: 32703 grad_norm: 18.3765 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9695 loss: 0.9695 2022/07/30 21:20:48 - mmengine - INFO - Epoch(train) [45][1440/2505] lr: 5.0000e-05 eta: 9:15:03 time: 0.9284 data_time: 0.2741 memory: 32703 grad_norm: 19.1114 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0483 loss: 1.0483 2022/07/30 21:21:11 - mmengine - INFO - Epoch(train) [45][1460/2505] lr: 5.0000e-05 eta: 9:14:44 time: 1.1256 data_time: 0.2115 memory: 32703 grad_norm: 18.7988 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9258 loss: 0.9258 2022/07/30 21:21:28 - mmengine - INFO - Epoch(train) [45][1480/2505] lr: 5.0000e-05 eta: 9:14:24 time: 0.8596 data_time: 0.0272 memory: 32703 grad_norm: 19.0182 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1749 loss: 1.1749 2022/07/30 21:21:49 - mmengine - INFO - Epoch(train) [45][1500/2505] lr: 5.0000e-05 eta: 9:14:04 time: 1.0444 data_time: 0.0252 memory: 32703 grad_norm: 19.3432 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2965 loss: 1.2965 2022/07/30 21:22:07 - mmengine - INFO - Epoch(train) [45][1520/2505] lr: 5.0000e-05 eta: 9:13:44 time: 0.8947 data_time: 0.0316 memory: 32703 grad_norm: 18.6365 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9273 loss: 0.9273 2022/07/30 21:22:28 - mmengine - INFO - Epoch(train) [45][1540/2505] lr: 5.0000e-05 eta: 9:13:25 time: 1.0788 data_time: 0.0704 memory: 32703 grad_norm: 18.6890 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0014 loss: 1.0014 2022/07/30 21:22:46 - mmengine - INFO - Epoch(train) [45][1560/2505] lr: 5.0000e-05 eta: 9:13:04 time: 0.8978 data_time: 0.0567 memory: 32703 grad_norm: 19.1526 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8440 loss: 0.8440 2022/07/30 21:23:07 - mmengine - INFO - Epoch(train) [45][1580/2505] lr: 5.0000e-05 eta: 9:12:45 time: 1.0122 data_time: 0.0420 memory: 32703 grad_norm: 19.1577 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8272 loss: 0.8272 2022/07/30 21:23:25 - mmengine - INFO - Epoch(train) [45][1600/2505] lr: 5.0000e-05 eta: 9:12:24 time: 0.9102 data_time: 0.0765 memory: 32703 grad_norm: 19.9136 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0582 loss: 1.0582 2022/07/30 21:23:46 - mmengine - INFO - Epoch(train) [45][1620/2505] lr: 5.0000e-05 eta: 9:12:05 time: 1.0606 data_time: 0.1643 memory: 32703 grad_norm: 18.8237 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0497 loss: 1.0497 2022/07/30 21:24:05 - mmengine - INFO - Epoch(train) [45][1640/2505] lr: 5.0000e-05 eta: 9:11:45 time: 0.9233 data_time: 0.1282 memory: 32703 grad_norm: 19.5807 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9642 loss: 0.9642 2022/07/30 21:24:26 - mmengine - INFO - Epoch(train) [45][1660/2505] lr: 5.0000e-05 eta: 9:11:25 time: 1.0545 data_time: 0.2680 memory: 32703 grad_norm: 19.3594 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0618 loss: 1.0618 2022/07/30 21:24:45 - mmengine - INFO - Epoch(train) [45][1680/2505] lr: 5.0000e-05 eta: 9:11:05 time: 0.9596 data_time: 0.2355 memory: 32703 grad_norm: 18.9494 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7409 loss: 0.7409 2022/07/30 21:25:06 - mmengine - INFO - Epoch(train) [45][1700/2505] lr: 5.0000e-05 eta: 9:10:46 time: 1.0335 data_time: 0.3255 memory: 32703 grad_norm: 19.1838 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7880 loss: 0.7880 2022/07/30 21:25:24 - mmengine - INFO - Epoch(train) [45][1720/2505] lr: 5.0000e-05 eta: 9:10:26 time: 0.9427 data_time: 0.2616 memory: 32703 grad_norm: 19.2107 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9215 loss: 0.9215 2022/07/30 21:25:45 - mmengine - INFO - Epoch(train) [45][1740/2505] lr: 5.0000e-05 eta: 9:10:06 time: 1.0525 data_time: 0.4346 memory: 32703 grad_norm: 19.8625 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9589 loss: 0.9589 2022/07/30 21:26:03 - mmengine - INFO - Epoch(train) [45][1760/2505] lr: 5.0000e-05 eta: 9:09:46 time: 0.8973 data_time: 0.3135 memory: 32703 grad_norm: 17.9738 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8170 loss: 0.8170 2022/07/30 21:26:25 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 21:26:25 - mmengine - INFO - Epoch(train) [45][1780/2505] lr: 5.0000e-05 eta: 9:09:27 time: 1.0673 data_time: 0.4927 memory: 32703 grad_norm: 18.0529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9113 loss: 0.9113 2022/07/30 21:26:43 - mmengine - INFO - Epoch(train) [45][1800/2505] lr: 5.0000e-05 eta: 9:09:06 time: 0.9302 data_time: 0.3271 memory: 32703 grad_norm: 19.5689 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0388 loss: 1.0388 2022/07/30 21:27:05 - mmengine - INFO - Epoch(train) [45][1820/2505] lr: 5.0000e-05 eta: 9:08:47 time: 1.0655 data_time: 0.4577 memory: 32703 grad_norm: 19.4859 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0850 loss: 1.0850 2022/07/30 21:27:23 - mmengine - INFO - Epoch(train) [45][1840/2505] lr: 5.0000e-05 eta: 9:08:27 time: 0.9124 data_time: 0.3098 memory: 32703 grad_norm: 19.7150 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0633 loss: 1.0633 2022/07/30 21:27:44 - mmengine - INFO - Epoch(train) [45][1860/2505] lr: 5.0000e-05 eta: 9:08:07 time: 1.0380 data_time: 0.4611 memory: 32703 grad_norm: 18.6868 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1197 loss: 1.1197 2022/07/30 21:28:02 - mmengine - INFO - Epoch(train) [45][1880/2505] lr: 5.0000e-05 eta: 9:07:47 time: 0.9280 data_time: 0.3119 memory: 32703 grad_norm: 19.2569 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1768 loss: 1.1768 2022/07/30 21:28:24 - mmengine - INFO - Epoch(train) [45][1900/2505] lr: 5.0000e-05 eta: 9:07:28 time: 1.0653 data_time: 0.4741 memory: 32703 grad_norm: 19.9006 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1173 loss: 1.1173 2022/07/30 21:28:41 - mmengine - INFO - Epoch(train) [45][1920/2505] lr: 5.0000e-05 eta: 9:07:07 time: 0.8853 data_time: 0.2936 memory: 32703 grad_norm: 19.1103 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8783 loss: 0.8783 2022/07/30 21:29:02 - mmengine - INFO - Epoch(train) [45][1940/2505] lr: 5.0000e-05 eta: 9:06:48 time: 1.0341 data_time: 0.4369 memory: 32703 grad_norm: 18.4869 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9584 loss: 0.9584 2022/07/30 21:29:20 - mmengine - INFO - Epoch(train) [45][1960/2505] lr: 5.0000e-05 eta: 9:06:27 time: 0.8776 data_time: 0.2994 memory: 32703 grad_norm: 19.7274 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0288 loss: 1.0288 2022/07/30 21:29:42 - mmengine - INFO - Epoch(train) [45][1980/2505] lr: 5.0000e-05 eta: 9:06:08 time: 1.1180 data_time: 0.5073 memory: 32703 grad_norm: 19.7211 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8378 loss: 0.8378 2022/07/30 21:30:00 - mmengine - INFO - Epoch(train) [45][2000/2505] lr: 5.0000e-05 eta: 9:05:48 time: 0.9052 data_time: 0.2974 memory: 32703 grad_norm: 19.5591 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2347 loss: 1.2347 2022/07/30 21:30:21 - mmengine - INFO - Epoch(train) [45][2020/2505] lr: 5.0000e-05 eta: 9:05:29 time: 1.0736 data_time: 0.4669 memory: 32703 grad_norm: 18.8379 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8289 loss: 0.8289 2022/07/30 21:30:39 - mmengine - INFO - Epoch(train) [45][2040/2505] lr: 5.0000e-05 eta: 9:05:08 time: 0.8572 data_time: 0.2839 memory: 32703 grad_norm: 18.6395 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9326 loss: 0.9326 2022/07/30 21:31:01 - mmengine - INFO - Epoch(train) [45][2060/2505] lr: 5.0000e-05 eta: 9:04:49 time: 1.1065 data_time: 0.4846 memory: 32703 grad_norm: 20.0717 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2130 loss: 1.2130 2022/07/30 21:31:18 - mmengine - INFO - Epoch(train) [45][2080/2505] lr: 5.0000e-05 eta: 9:04:28 time: 0.8538 data_time: 0.2545 memory: 32703 grad_norm: 18.8837 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8627 loss: 0.8627 2022/07/30 21:31:38 - mmengine - INFO - Epoch(train) [45][2100/2505] lr: 5.0000e-05 eta: 9:04:09 time: 1.0312 data_time: 0.4225 memory: 32703 grad_norm: 19.5227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2757 loss: 1.2757 2022/07/30 21:31:57 - mmengine - INFO - Epoch(train) [45][2120/2505] lr: 5.0000e-05 eta: 9:03:48 time: 0.9002 data_time: 0.2052 memory: 32703 grad_norm: 19.1602 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9969 loss: 0.9969 2022/07/30 21:32:18 - mmengine - INFO - Epoch(train) [45][2140/2505] lr: 5.0000e-05 eta: 9:03:29 time: 1.0523 data_time: 0.2241 memory: 32703 grad_norm: 18.9825 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1013 loss: 1.1013 2022/07/30 21:32:35 - mmengine - INFO - Epoch(train) [45][2160/2505] lr: 5.0000e-05 eta: 9:03:08 time: 0.8750 data_time: 0.0354 memory: 32703 grad_norm: 18.9515 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.2292 loss: 1.2292 2022/07/30 21:32:57 - mmengine - INFO - Epoch(train) [45][2180/2505] lr: 5.0000e-05 eta: 9:02:49 time: 1.0789 data_time: 0.1409 memory: 32703 grad_norm: 19.1216 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0764 loss: 1.0764 2022/07/30 21:33:16 - mmengine - INFO - Epoch(train) [45][2200/2505] lr: 5.0000e-05 eta: 9:02:29 time: 0.9421 data_time: 0.2180 memory: 32703 grad_norm: 19.3043 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9860 loss: 0.9860 2022/07/30 21:33:36 - mmengine - INFO - Epoch(train) [45][2220/2505] lr: 5.0000e-05 eta: 9:02:10 time: 1.0321 data_time: 0.3929 memory: 32703 grad_norm: 19.4883 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0149 loss: 1.0149 2022/07/30 21:33:55 - mmengine - INFO - Epoch(train) [45][2240/2505] lr: 5.0000e-05 eta: 9:01:49 time: 0.9474 data_time: 0.2617 memory: 32703 grad_norm: 18.6348 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8690 loss: 0.8690 2022/07/30 21:34:16 - mmengine - INFO - Epoch(train) [45][2260/2505] lr: 5.0000e-05 eta: 9:01:30 time: 1.0533 data_time: 0.4181 memory: 32703 grad_norm: 19.0722 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9128 loss: 0.9128 2022/07/30 21:34:35 - mmengine - INFO - Epoch(train) [45][2280/2505] lr: 5.0000e-05 eta: 9:01:10 time: 0.9242 data_time: 0.2406 memory: 32703 grad_norm: 19.4446 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0409 loss: 1.0409 2022/07/30 21:34:56 - mmengine - INFO - Epoch(train) [45][2300/2505] lr: 5.0000e-05 eta: 9:00:50 time: 1.0627 data_time: 0.4373 memory: 32703 grad_norm: 19.8633 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0761 loss: 1.0761 2022/07/30 21:35:15 - mmengine - INFO - Epoch(train) [45][2320/2505] lr: 5.0000e-05 eta: 9:00:31 time: 0.9713 data_time: 0.3618 memory: 32703 grad_norm: 19.5470 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0104 loss: 1.0104 2022/07/30 21:35:36 - mmengine - INFO - Epoch(train) [45][2340/2505] lr: 5.0000e-05 eta: 9:00:11 time: 1.0135 data_time: 0.4337 memory: 32703 grad_norm: 19.4368 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3617 loss: 1.3617 2022/07/30 21:35:54 - mmengine - INFO - Epoch(train) [45][2360/2505] lr: 5.0000e-05 eta: 8:59:51 time: 0.9222 data_time: 0.3203 memory: 32703 grad_norm: 20.1958 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0955 loss: 1.0955 2022/07/30 21:36:15 - mmengine - INFO - Epoch(train) [45][2380/2505] lr: 5.0000e-05 eta: 8:59:31 time: 1.0578 data_time: 0.4473 memory: 32703 grad_norm: 19.5866 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9365 loss: 0.9365 2022/07/30 21:36:34 - mmengine - INFO - Epoch(train) [45][2400/2505] lr: 5.0000e-05 eta: 8:59:11 time: 0.9516 data_time: 0.3568 memory: 32703 grad_norm: 18.3373 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.8898 loss: 0.8898 2022/07/30 21:36:54 - mmengine - INFO - Epoch(train) [45][2420/2505] lr: 5.0000e-05 eta: 8:58:52 time: 1.0032 data_time: 0.3831 memory: 32703 grad_norm: 18.7271 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0080 loss: 1.0080 2022/07/30 21:37:13 - mmengine - INFO - Epoch(train) [45][2440/2505] lr: 5.0000e-05 eta: 8:58:31 time: 0.9090 data_time: 0.2806 memory: 32703 grad_norm: 19.0925 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9792 loss: 0.9792 2022/07/30 21:37:33 - mmengine - INFO - Epoch(train) [45][2460/2505] lr: 5.0000e-05 eta: 8:58:12 time: 1.0331 data_time: 0.3963 memory: 32703 grad_norm: 19.5153 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9799 loss: 0.9799 2022/07/30 21:37:51 - mmengine - INFO - Epoch(train) [45][2480/2505] lr: 5.0000e-05 eta: 8:57:51 time: 0.9030 data_time: 0.2281 memory: 32703 grad_norm: 18.7702 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9441 loss: 0.9441 2022/07/30 21:38:09 - mmengine - INFO - Epoch(train) [45][2500/2505] lr: 5.0000e-05 eta: 8:57:31 time: 0.9005 data_time: 0.1579 memory: 32703 grad_norm: 19.5638 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0877 loss: 1.0877 2022/07/30 21:38:12 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 21:38:13 - mmengine - INFO - Epoch(train) [45][2505/2505] lr: 5.0000e-05 eta: 8:57:31 time: 0.7622 data_time: 0.0864 memory: 32703 grad_norm: 20.1008 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1397 loss: 1.1397 2022/07/30 21:38:15 - mmengine - INFO - Epoch(val) [45][20/2475] eta: 0:04:51 time: 0.1186 data_time: 0.0878 memory: 817 2022/07/30 21:38:16 - mmengine - INFO - Epoch(val) [45][40/2475] eta: 0:03:01 time: 0.0745 data_time: 0.0417 memory: 817 2022/07/30 21:38:19 - mmengine - INFO - Epoch(val) [45][60/2475] eta: 0:04:12 time: 0.1046 data_time: 0.0729 memory: 817 2022/07/30 21:38:20 - mmengine - INFO - Epoch(val) [45][80/2475] eta: 0:02:52 time: 0.0719 data_time: 0.0380 memory: 817 2022/07/30 21:38:22 - mmengine - INFO - Epoch(val) [45][100/2475] eta: 0:03:47 time: 0.0959 data_time: 0.0628 memory: 817 2022/07/30 21:38:23 - mmengine - INFO - Epoch(val) [45][120/2475] eta: 0:02:37 time: 0.0670 data_time: 0.0344 memory: 817 2022/07/30 21:38:25 - mmengine - INFO - Epoch(val) [45][140/2475] eta: 0:03:20 time: 0.0857 data_time: 0.0528 memory: 817 2022/07/30 21:38:26 - mmengine - INFO - Epoch(val) [45][160/2475] eta: 0:02:53 time: 0.0751 data_time: 0.0413 memory: 817 2022/07/30 21:38:28 - mmengine - INFO - Epoch(val) [45][180/2475] eta: 0:03:20 time: 0.0875 data_time: 0.0557 memory: 817 2022/07/30 21:38:30 - mmengine - INFO - Epoch(val) [45][200/2475] eta: 0:02:36 time: 0.0688 data_time: 0.0374 memory: 817 2022/07/30 21:38:31 - mmengine - INFO - Epoch(val) [45][220/2475] eta: 0:02:52 time: 0.0764 data_time: 0.0355 memory: 817 2022/07/30 21:38:33 - mmengine - INFO - Epoch(val) [45][240/2475] eta: 0:03:04 time: 0.0824 data_time: 0.0510 memory: 817 2022/07/30 21:38:35 - mmengine - INFO - Epoch(val) [45][260/2475] eta: 0:03:24 time: 0.0922 data_time: 0.0589 memory: 817 2022/07/30 21:38:36 - mmengine - INFO - Epoch(val) [45][280/2475] eta: 0:02:24 time: 0.0658 data_time: 0.0339 memory: 817 2022/07/30 21:38:37 - mmengine - INFO - Epoch(val) [45][300/2475] eta: 0:02:48 time: 0.0777 data_time: 0.0468 memory: 817 2022/07/30 21:38:39 - mmengine - INFO - Epoch(val) [45][320/2475] eta: 0:02:32 time: 0.0706 data_time: 0.0396 memory: 817 2022/07/30 21:38:41 - mmengine - INFO - Epoch(val) [45][340/2475] eta: 0:02:49 time: 0.0795 data_time: 0.0477 memory: 817 2022/07/30 21:38:42 - mmengine - INFO - Epoch(val) [45][360/2475] eta: 0:02:52 time: 0.0814 data_time: 0.0494 memory: 817 2022/07/30 21:38:44 - mmengine - INFO - Epoch(val) [45][380/2475] eta: 0:02:28 time: 0.0710 data_time: 0.0398 memory: 817 2022/07/30 21:38:45 - mmengine - INFO - Epoch(val) [45][400/2475] eta: 0:02:48 time: 0.0811 data_time: 0.0497 memory: 817 2022/07/30 21:38:47 - mmengine - INFO - Epoch(val) [45][420/2475] eta: 0:02:52 time: 0.0841 data_time: 0.0523 memory: 817 2022/07/30 21:38:49 - mmengine - INFO - Epoch(val) [45][440/2475] eta: 0:02:45 time: 0.0812 data_time: 0.0508 memory: 817 2022/07/30 21:38:50 - mmengine - INFO - Epoch(val) [45][460/2475] eta: 0:02:57 time: 0.0881 data_time: 0.0553 memory: 817 2022/07/30 21:38:52 - mmengine - INFO - Epoch(val) [45][480/2475] eta: 0:02:41 time: 0.0807 data_time: 0.0496 memory: 817 2022/07/30 21:38:53 - mmengine - INFO - Epoch(val) [45][500/2475] eta: 0:02:18 time: 0.0703 data_time: 0.0396 memory: 817 2022/07/30 21:38:55 - mmengine - INFO - Epoch(val) [45][520/2475] eta: 0:02:46 time: 0.0850 data_time: 0.0540 memory: 817 2022/07/30 21:38:56 - mmengine - INFO - Epoch(val) [45][540/2475] eta: 0:02:15 time: 0.0698 data_time: 0.0391 memory: 817 2022/07/30 21:38:58 - mmengine - INFO - Epoch(val) [45][560/2475] eta: 0:02:55 time: 0.0917 data_time: 0.0600 memory: 817 2022/07/30 21:39:00 - mmengine - INFO - Epoch(val) [45][580/2475] eta: 0:02:36 time: 0.0825 data_time: 0.0471 memory: 817 2022/07/30 21:39:02 - mmengine - INFO - Epoch(val) [45][600/2475] eta: 0:02:54 time: 0.0928 data_time: 0.0622 memory: 817 2022/07/30 21:39:03 - mmengine - INFO - Epoch(val) [45][620/2475] eta: 0:02:09 time: 0.0698 data_time: 0.0388 memory: 817 2022/07/30 21:39:05 - mmengine - INFO - Epoch(val) [45][640/2475] eta: 0:02:50 time: 0.0929 data_time: 0.0629 memory: 817 2022/07/30 21:39:07 - mmengine - INFO - Epoch(val) [45][660/2475] eta: 0:02:14 time: 0.0739 data_time: 0.0438 memory: 817 2022/07/30 21:39:08 - mmengine - INFO - Epoch(val) [45][680/2475] eta: 0:02:50 time: 0.0951 data_time: 0.0647 memory: 817 2022/07/30 21:39:10 - mmengine - INFO - Epoch(val) [45][700/2475] eta: 0:01:57 time: 0.0662 data_time: 0.0358 memory: 817 2022/07/30 21:39:12 - mmengine - INFO - Epoch(val) [45][720/2475] eta: 0:02:50 time: 0.0970 data_time: 0.0624 memory: 817 2022/07/30 21:39:13 - mmengine - INFO - Epoch(val) [45][740/2475] eta: 0:01:49 time: 0.0633 data_time: 0.0312 memory: 817 2022/07/30 21:39:15 - mmengine - INFO - Epoch(val) [45][760/2475] eta: 0:02:37 time: 0.0919 data_time: 0.0612 memory: 817 2022/07/30 21:39:16 - mmengine - INFO - Epoch(val) [45][780/2475] eta: 0:01:59 time: 0.0705 data_time: 0.0390 memory: 817 2022/07/30 21:39:18 - mmengine - INFO - Epoch(val) [45][800/2475] eta: 0:02:47 time: 0.1002 data_time: 0.0681 memory: 817 2022/07/30 21:39:20 - mmengine - INFO - Epoch(val) [45][820/2475] eta: 0:01:47 time: 0.0649 data_time: 0.0309 memory: 817 2022/07/30 21:39:21 - mmengine - INFO - Epoch(val) [45][840/2475] eta: 0:02:31 time: 0.0927 data_time: 0.0592 memory: 817 2022/07/30 21:39:23 - mmengine - INFO - Epoch(val) [45][860/2475] eta: 0:01:35 time: 0.0593 data_time: 0.0270 memory: 817 2022/07/30 21:39:24 - mmengine - INFO - Epoch(val) [45][880/2475] eta: 0:02:20 time: 0.0883 data_time: 0.0559 memory: 817 2022/07/30 21:39:26 - mmengine - INFO - Epoch(val) [45][900/2475] eta: 0:01:47 time: 0.0681 data_time: 0.0373 memory: 817 2022/07/30 21:39:28 - mmengine - INFO - Epoch(val) [45][920/2475] eta: 0:02:29 time: 0.0963 data_time: 0.0651 memory: 817 2022/07/30 21:39:29 - mmengine - INFO - Epoch(val) [45][940/2475] eta: 0:01:46 time: 0.0695 data_time: 0.0376 memory: 817 2022/07/30 21:39:31 - mmengine - INFO - Epoch(val) [45][960/2475] eta: 0:02:21 time: 0.0935 data_time: 0.0616 memory: 817 2022/07/30 21:39:32 - mmengine - INFO - Epoch(val) [45][980/2475] eta: 0:01:50 time: 0.0739 data_time: 0.0416 memory: 817 2022/07/30 21:39:34 - mmengine - INFO - Epoch(val) [45][1000/2475] eta: 0:02:15 time: 0.0918 data_time: 0.0590 memory: 817 2022/07/30 21:39:36 - mmengine - INFO - Epoch(val) [45][1020/2475] eta: 0:01:33 time: 0.0644 data_time: 0.0324 memory: 817 2022/07/30 21:39:37 - mmengine - INFO - Epoch(val) [45][1040/2475] eta: 0:02:20 time: 0.0977 data_time: 0.0660 memory: 817 2022/07/30 21:39:39 - mmengine - INFO - Epoch(val) [45][1060/2475] eta: 0:01:41 time: 0.0716 data_time: 0.0379 memory: 817 2022/07/30 21:39:41 - mmengine - INFO - Epoch(val) [45][1080/2475] eta: 0:02:07 time: 0.0911 data_time: 0.0609 memory: 817 2022/07/30 21:39:42 - mmengine - INFO - Epoch(val) [45][1100/2475] eta: 0:01:37 time: 0.0711 data_time: 0.0413 memory: 817 2022/07/30 21:39:44 - mmengine - INFO - Epoch(val) [45][1120/2475] eta: 0:01:54 time: 0.0846 data_time: 0.0546 memory: 817 2022/07/30 21:39:45 - mmengine - INFO - Epoch(val) [45][1140/2475] eta: 0:01:43 time: 0.0776 data_time: 0.0461 memory: 817 2022/07/30 21:39:47 - mmengine - INFO - Epoch(val) [45][1160/2475] eta: 0:01:41 time: 0.0772 data_time: 0.0452 memory: 817 2022/07/30 21:39:49 - mmengine - INFO - Epoch(val) [45][1180/2475] eta: 0:01:40 time: 0.0773 data_time: 0.0469 memory: 817 2022/07/30 21:39:50 - mmengine - INFO - 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mmengine - INFO - Epoch(val) [45][1380/2475] eta: 0:01:37 time: 0.0895 data_time: 0.0574 memory: 817 2022/07/30 21:40:07 - mmengine - INFO - Epoch(val) [45][1400/2475] eta: 0:01:12 time: 0.0672 data_time: 0.0366 memory: 817 2022/07/30 21:40:08 - mmengine - INFO - Epoch(val) [45][1420/2475] eta: 0:01:39 time: 0.0944 data_time: 0.0627 memory: 817 2022/07/30 21:40:10 - mmengine - INFO - Epoch(val) [45][1440/2475] eta: 0:01:10 time: 0.0680 data_time: 0.0373 memory: 817 2022/07/30 21:40:12 - mmengine - INFO - Epoch(val) [45][1460/2475] eta: 0:01:34 time: 0.0933 data_time: 0.0595 memory: 817 2022/07/30 21:40:13 - mmengine - INFO - Epoch(val) [45][1480/2475] eta: 0:01:14 time: 0.0753 data_time: 0.0451 memory: 817 2022/07/30 21:40:15 - mmengine - INFO - Epoch(val) [45][1500/2475] eta: 0:01:27 time: 0.0898 data_time: 0.0575 memory: 817 2022/07/30 21:40:16 - mmengine - INFO - Epoch(val) [45][1520/2475] eta: 0:01:13 time: 0.0770 data_time: 0.0456 memory: 817 2022/07/30 21:40:18 - mmengine - INFO - Epoch(val) [45][1540/2475] eta: 0:01:19 time: 0.0851 data_time: 0.0528 memory: 817 2022/07/30 21:40:20 - mmengine - INFO - Epoch(val) [45][1560/2475] eta: 0:01:00 time: 0.0661 data_time: 0.0333 memory: 817 2022/07/30 21:40:21 - mmengine - INFO - Epoch(val) [45][1580/2475] eta: 0:01:18 time: 0.0880 data_time: 0.0564 memory: 817 2022/07/30 21:40:23 - mmengine - INFO - Epoch(val) [45][1600/2475] eta: 0:01:01 time: 0.0705 data_time: 0.0392 memory: 817 2022/07/30 21:40:25 - mmengine - INFO - Epoch(val) [45][1620/2475] eta: 0:01:22 time: 0.0962 data_time: 0.0655 memory: 817 2022/07/30 21:40:26 - mmengine - INFO - Epoch(val) [45][1640/2475] eta: 0:01:02 time: 0.0753 data_time: 0.0450 memory: 817 2022/07/30 21:40:28 - mmengine - INFO - Epoch(val) [45][1660/2475] eta: 0:01:09 time: 0.0856 data_time: 0.0545 memory: 817 2022/07/30 21:40:29 - mmengine - INFO - Epoch(val) [45][1680/2475] eta: 0:00:54 time: 0.0692 data_time: 0.0397 memory: 817 2022/07/30 21:40:31 - mmengine - INFO - Epoch(val) [45][1700/2475] eta: 0:01:12 time: 0.0935 data_time: 0.0633 memory: 817 2022/07/30 21:40:33 - mmengine - INFO - Epoch(val) [45][1720/2475] eta: 0:00:54 time: 0.0726 data_time: 0.0429 memory: 817 2022/07/30 21:40:34 - mmengine - INFO - Epoch(val) [45][1740/2475] eta: 0:01:01 time: 0.0834 data_time: 0.0522 memory: 817 2022/07/30 21:40:36 - mmengine - INFO - Epoch(val) [45][1760/2475] eta: 0:00:50 time: 0.0699 data_time: 0.0393 memory: 817 2022/07/30 21:40:38 - mmengine - INFO - Epoch(val) [45][1780/2475] eta: 0:01:05 time: 0.0944 data_time: 0.0594 memory: 817 2022/07/30 21:40:39 - mmengine - INFO - Epoch(val) [45][1800/2475] eta: 0:00:49 time: 0.0739 data_time: 0.0428 memory: 817 2022/07/30 21:40:41 - mmengine - INFO - Epoch(val) [45][1820/2475] eta: 0:00:58 time: 0.0887 data_time: 0.0583 memory: 817 2022/07/30 21:40:42 - mmengine - INFO - Epoch(val) [45][1840/2475] eta: 0:00:41 time: 0.0654 data_time: 0.0342 memory: 817 2022/07/30 21:40:44 - mmengine - INFO - Epoch(val) [45][1860/2475] eta: 0:00:52 time: 0.0847 data_time: 0.0530 memory: 817 2022/07/30 21:40:45 - mmengine - INFO - Epoch(val) [45][1880/2475] eta: 0:00:47 time: 0.0791 data_time: 0.0468 memory: 817 2022/07/30 21:40:47 - mmengine - INFO - Epoch(val) [45][1900/2475] eta: 0:00:51 time: 0.0900 data_time: 0.0584 memory: 817 2022/07/30 21:40:49 - mmengine - INFO - Epoch(val) [45][1920/2475] eta: 0:00:41 time: 0.0748 data_time: 0.0424 memory: 817 2022/07/30 21:40:50 - mmengine - INFO - Epoch(val) [45][1940/2475] eta: 0:00:46 time: 0.0860 data_time: 0.0516 memory: 817 2022/07/30 21:40:52 - mmengine - INFO - Epoch(val) [45][1960/2475] eta: 0:00:38 time: 0.0739 data_time: 0.0428 memory: 817 2022/07/30 21:40:54 - mmengine - INFO - Epoch(val) [45][1980/2475] eta: 0:00:41 time: 0.0837 data_time: 0.0524 memory: 817 2022/07/30 21:40:55 - mmengine - INFO - Epoch(val) [45][2000/2475] eta: 0:00:36 time: 0.0770 data_time: 0.0463 memory: 817 2022/07/30 21:40:57 - mmengine - INFO - Epoch(val) [45][2020/2475] eta: 0:00:38 time: 0.0838 data_time: 0.0527 memory: 817 2022/07/30 21:40:58 - mmengine - INFO - Epoch(val) [45][2040/2475] eta: 0:00:32 time: 0.0753 data_time: 0.0437 memory: 817 2022/07/30 21:41:00 - mmengine - INFO - Epoch(val) [45][2060/2475] eta: 0:00:33 time: 0.0802 data_time: 0.0495 memory: 817 2022/07/30 21:41:02 - mmengine - INFO - Epoch(val) [45][2080/2475] eta: 0:00:33 time: 0.0837 data_time: 0.0506 memory: 817 2022/07/30 21:41:03 - mmengine - INFO - Epoch(val) [45][2100/2475] eta: 0:00:32 time: 0.0869 data_time: 0.0547 memory: 817 2022/07/30 21:41:05 - mmengine - INFO - Epoch(val) [45][2120/2475] eta: 0:00:25 time: 0.0716 data_time: 0.0405 memory: 817 2022/07/30 21:41:07 - mmengine - INFO - Epoch(val) [45][2140/2475] eta: 0:00:29 time: 0.0876 data_time: 0.0549 memory: 817 2022/07/30 21:41:08 - mmengine - INFO - Epoch(val) [45][2160/2475] eta: 0:00:23 time: 0.0749 data_time: 0.0441 memory: 817 2022/07/30 21:41:10 - mmengine - INFO - Epoch(val) [45][2180/2475] eta: 0:00:24 time: 0.0847 data_time: 0.0530 memory: 817 2022/07/30 21:41:11 - mmengine - INFO - Epoch(val) [45][2200/2475] eta: 0:00:22 time: 0.0828 data_time: 0.0530 memory: 817 2022/07/30 21:41:13 - mmengine - INFO - Epoch(val) [45][2220/2475] eta: 0:00:23 time: 0.0921 data_time: 0.0611 memory: 817 2022/07/30 21:41:15 - mmengine - INFO - Epoch(val) [45][2240/2475] eta: 0:00:18 time: 0.0775 data_time: 0.0461 memory: 817 2022/07/30 21:41:17 - mmengine - INFO - Epoch(val) [45][2260/2475] eta: 0:00:18 time: 0.0870 data_time: 0.0559 memory: 817 2022/07/30 21:41:18 - mmengine - INFO - Epoch(val) [45][2280/2475] eta: 0:00:12 time: 0.0647 data_time: 0.0322 memory: 817 2022/07/30 21:41:20 - mmengine - INFO - Epoch(val) [45][2300/2475] eta: 0:00:15 time: 0.0888 data_time: 0.0588 memory: 817 2022/07/30 21:41:21 - mmengine - INFO - Epoch(val) [45][2320/2475] eta: 0:00:10 time: 0.0694 data_time: 0.0381 memory: 817 2022/07/30 21:41:23 - mmengine - INFO - Epoch(val) [45][2340/2475] eta: 0:00:10 time: 0.0802 data_time: 0.0482 memory: 817 2022/07/30 21:41:24 - mmengine - INFO - Epoch(val) [45][2360/2475] eta: 0:00:09 time: 0.0788 data_time: 0.0481 memory: 817 2022/07/30 21:41:26 - mmengine - INFO - Epoch(val) [45][2380/2475] eta: 0:00:07 time: 0.0826 data_time: 0.0523 memory: 817 2022/07/30 21:41:27 - mmengine - INFO - Epoch(val) [45][2400/2475] eta: 0:00:05 time: 0.0703 data_time: 0.0401 memory: 817 2022/07/30 21:41:29 - mmengine - INFO - Epoch(val) [45][2420/2475] eta: 0:00:04 time: 0.0836 data_time: 0.0530 memory: 817 2022/07/30 21:41:31 - mmengine - INFO - Epoch(val) [45][2440/2475] eta: 0:00:02 time: 0.0842 data_time: 0.0437 memory: 817 2022/07/30 21:41:32 - mmengine - INFO - Epoch(val) [45][2460/2475] eta: 0:00:01 time: 0.0773 data_time: 0.0454 memory: 817 2022/07/30 21:41:35 - mmengine - INFO - Epoch(val) [45][2475/2475] acc/top1: 0.7623 acc/top5: 0.9230 acc/mean1: 0.7623 2022/07/30 21:41:36 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_43.pth is removed 2022/07/30 21:41:37 - mmengine - INFO - The best checkpoint with 0.7623 acc/top1 at 46 epoch is saved to best_acc/top1_epoch_46.pth. 2022/07/30 21:42:03 - mmengine - INFO - Epoch(train) [46][20/2505] lr: 5.0000e-05 eta: 8:57:07 time: 1.2933 data_time: 0.7166 memory: 32703 grad_norm: 18.5405 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9279 loss: 0.9279 2022/07/30 21:42:22 - mmengine - INFO - Epoch(train) [46][40/2505] lr: 5.0000e-05 eta: 8:56:46 time: 0.9019 data_time: 0.3243 memory: 32703 grad_norm: 20.1023 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0352 loss: 1.0352 2022/07/30 21:42:43 - mmengine - INFO - Epoch(train) [46][60/2505] lr: 5.0000e-05 eta: 8:56:27 time: 1.0601 data_time: 0.4834 memory: 32703 grad_norm: 18.5601 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8916 loss: 0.8916 2022/07/30 21:43:01 - mmengine - INFO - Epoch(train) [46][80/2505] lr: 5.0000e-05 eta: 8:56:07 time: 0.8945 data_time: 0.2543 memory: 32703 grad_norm: 19.6044 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0616 loss: 1.0616 2022/07/30 21:43:23 - mmengine - INFO - Epoch(train) [46][100/2505] lr: 5.0000e-05 eta: 8:55:47 time: 1.1120 data_time: 0.2544 memory: 32703 grad_norm: 18.9441 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0554 loss: 1.0554 2022/07/30 21:43:41 - mmengine - INFO - Epoch(train) [46][120/2505] lr: 5.0000e-05 eta: 8:55:27 time: 0.9039 data_time: 0.0547 memory: 32703 grad_norm: 18.6624 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9622 loss: 0.9622 2022/07/30 21:44:02 - mmengine - INFO - Epoch(train) [46][140/2505] lr: 5.0000e-05 eta: 8:55:08 time: 1.0707 data_time: 0.0809 memory: 32703 grad_norm: 19.0416 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0097 loss: 1.0097 2022/07/30 21:44:21 - mmengine - INFO - Epoch(train) [46][160/2505] lr: 5.0000e-05 eta: 8:54:48 time: 0.9110 data_time: 0.1739 memory: 32703 grad_norm: 19.3605 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 0.9796 loss: 0.9796 2022/07/30 21:44:42 - mmengine - INFO - Epoch(train) [46][180/2505] lr: 5.0000e-05 eta: 8:54:28 time: 1.0704 data_time: 0.2798 memory: 32703 grad_norm: 19.5863 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0424 loss: 1.0424 2022/07/30 21:45:00 - mmengine - INFO - Epoch(train) [46][200/2505] lr: 5.0000e-05 eta: 8:54:08 time: 0.9113 data_time: 0.1699 memory: 32703 grad_norm: 18.8795 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9919 loss: 0.9919 2022/07/30 21:45:22 - mmengine - INFO - Epoch(train) [46][220/2505] lr: 5.0000e-05 eta: 8:53:49 time: 1.1020 data_time: 0.2062 memory: 32703 grad_norm: 19.3495 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9684 loss: 0.9684 2022/07/30 21:45:40 - mmengine - INFO - Epoch(train) [46][240/2505] lr: 5.0000e-05 eta: 8:53:28 time: 0.8927 data_time: 0.1285 memory: 32703 grad_norm: 18.8101 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0042 loss: 1.0042 2022/07/30 21:46:01 - mmengine - INFO - Epoch(train) [46][260/2505] lr: 5.0000e-05 eta: 8:53:09 time: 1.0352 data_time: 0.0547 memory: 32703 grad_norm: 18.7426 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0782 loss: 1.0782 2022/07/30 21:46:16 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 21:46:19 - mmengine - INFO - Epoch(train) [46][280/2505] lr: 5.0000e-05 eta: 8:52:49 time: 0.8978 data_time: 0.0323 memory: 32703 grad_norm: 18.7445 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0174 loss: 1.0174 2022/07/30 21:46:40 - mmengine - INFO - Epoch(train) [46][300/2505] lr: 5.0000e-05 eta: 8:52:29 time: 1.0842 data_time: 0.0286 memory: 32703 grad_norm: 17.8176 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9967 loss: 0.9967 2022/07/30 21:46:58 - mmengine - INFO - Epoch(train) [46][320/2505] lr: 5.0000e-05 eta: 8:52:09 time: 0.8907 data_time: 0.0339 memory: 32703 grad_norm: 19.1242 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1500 loss: 1.1500 2022/07/30 21:47:20 - mmengine - INFO - Epoch(train) [46][340/2505] lr: 5.0000e-05 eta: 8:51:50 time: 1.0942 data_time: 0.0281 memory: 32703 grad_norm: 18.6970 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8718 loss: 0.8718 2022/07/30 21:47:38 - mmengine - INFO - Epoch(train) [46][360/2505] lr: 5.0000e-05 eta: 8:51:29 time: 0.8910 data_time: 0.0274 memory: 32703 grad_norm: 19.2408 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0851 loss: 1.0851 2022/07/30 21:47:59 - mmengine - INFO - Epoch(train) [46][380/2505] lr: 5.0000e-05 eta: 8:51:10 time: 1.0654 data_time: 0.0296 memory: 32703 grad_norm: 19.7574 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9576 loss: 0.9576 2022/07/30 21:48:18 - mmengine - INFO - Epoch(train) [46][400/2505] lr: 5.0000e-05 eta: 8:50:50 time: 0.9160 data_time: 0.0289 memory: 32703 grad_norm: 19.3754 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1637 loss: 1.1637 2022/07/30 21:48:39 - mmengine - INFO - Epoch(train) [46][420/2505] lr: 5.0000e-05 eta: 8:50:30 time: 1.0672 data_time: 0.0307 memory: 32703 grad_norm: 18.9646 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0558 loss: 1.0558 2022/07/30 21:48:57 - mmengine - INFO - Epoch(train) [46][440/2505] lr: 5.0000e-05 eta: 8:50:10 time: 0.9132 data_time: 0.0286 memory: 32703 grad_norm: 19.8287 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8265 loss: 0.8265 2022/07/30 21:49:18 - mmengine - INFO - Epoch(train) [46][460/2505] lr: 5.0000e-05 eta: 8:49:50 time: 1.0154 data_time: 0.0297 memory: 32703 grad_norm: 19.4449 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1070 loss: 1.1070 2022/07/30 21:49:36 - mmengine - INFO - Epoch(train) [46][480/2505] lr: 5.0000e-05 eta: 8:49:30 time: 0.9046 data_time: 0.0272 memory: 32703 grad_norm: 19.0098 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8742 loss: 0.8742 2022/07/30 21:49:56 - mmengine - INFO - Epoch(train) [46][500/2505] lr: 5.0000e-05 eta: 8:49:10 time: 1.0131 data_time: 0.0351 memory: 32703 grad_norm: 18.8582 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1292 loss: 1.1292 2022/07/30 21:50:16 - mmengine - INFO - Epoch(train) [46][520/2505] lr: 5.0000e-05 eta: 8:48:51 time: 0.9988 data_time: 0.0350 memory: 32703 grad_norm: 19.4884 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9241 loss: 0.9241 2022/07/30 21:50:36 - mmengine - INFO - Epoch(train) [46][540/2505] lr: 5.0000e-05 eta: 8:48:31 time: 1.0027 data_time: 0.0394 memory: 32703 grad_norm: 19.3413 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0717 loss: 1.0717 2022/07/30 21:50:55 - mmengine - INFO - Epoch(train) [46][560/2505] lr: 5.0000e-05 eta: 8:48:11 time: 0.9447 data_time: 0.0290 memory: 32703 grad_norm: 18.6363 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0265 loss: 1.0265 2022/07/30 21:51:16 - mmengine - INFO - Epoch(train) [46][580/2505] lr: 5.0000e-05 eta: 8:47:51 time: 1.0498 data_time: 0.0281 memory: 32703 grad_norm: 17.7042 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1254 loss: 1.1254 2022/07/30 21:51:34 - mmengine - INFO - Epoch(train) [46][600/2505] lr: 5.0000e-05 eta: 8:47:31 time: 0.9235 data_time: 0.0267 memory: 32703 grad_norm: 18.2915 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9223 loss: 0.9223 2022/07/30 21:51:56 - mmengine - INFO - Epoch(train) [46][620/2505] lr: 5.0000e-05 eta: 8:47:12 time: 1.0684 data_time: 0.0299 memory: 32703 grad_norm: 18.8023 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9684 loss: 0.9684 2022/07/30 21:52:14 - mmengine - INFO - Epoch(train) [46][640/2505] lr: 5.0000e-05 eta: 8:46:52 time: 0.8965 data_time: 0.0260 memory: 32703 grad_norm: 19.5882 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1009 loss: 1.1009 2022/07/30 21:52:35 - mmengine - INFO - Epoch(train) [46][660/2505] lr: 5.0000e-05 eta: 8:46:32 time: 1.0751 data_time: 0.0306 memory: 32703 grad_norm: 19.9300 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1803 loss: 1.1803 2022/07/30 21:52:53 - mmengine - INFO - Epoch(train) [46][680/2505] lr: 5.0000e-05 eta: 8:46:12 time: 0.8894 data_time: 0.0305 memory: 32703 grad_norm: 19.5673 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9721 loss: 0.9721 2022/07/30 21:53:15 - mmengine - INFO - Epoch(train) [46][700/2505] lr: 5.0000e-05 eta: 8:45:53 time: 1.0830 data_time: 0.0292 memory: 32703 grad_norm: 18.9303 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0931 loss: 1.0931 2022/07/30 21:53:33 - mmengine - INFO - Epoch(train) [46][720/2505] lr: 5.0000e-05 eta: 8:45:32 time: 0.9081 data_time: 0.0391 memory: 32703 grad_norm: 18.2222 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0231 loss: 1.0231 2022/07/30 21:53:53 - mmengine - INFO - Epoch(train) [46][740/2505] lr: 5.0000e-05 eta: 8:45:13 time: 1.0161 data_time: 0.0862 memory: 32703 grad_norm: 19.2985 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.1553 loss: 1.1553 2022/07/30 21:54:12 - mmengine - INFO - Epoch(train) [46][760/2505] lr: 5.0000e-05 eta: 8:44:53 time: 0.9495 data_time: 0.0579 memory: 32703 grad_norm: 18.4976 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9565 loss: 0.9565 2022/07/30 21:54:34 - mmengine - INFO - Epoch(train) [46][780/2505] lr: 5.0000e-05 eta: 8:44:33 time: 1.0713 data_time: 0.0405 memory: 32703 grad_norm: 19.3856 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9199 loss: 0.9199 2022/07/30 21:54:52 - mmengine - INFO - Epoch(train) [46][800/2505] lr: 5.0000e-05 eta: 8:44:13 time: 0.9365 data_time: 0.0370 memory: 32703 grad_norm: 18.9618 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8693 loss: 0.8693 2022/07/30 21:55:15 - mmengine - INFO - Epoch(train) [46][820/2505] lr: 5.0000e-05 eta: 8:43:54 time: 1.1315 data_time: 0.0297 memory: 32703 grad_norm: 18.1041 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1981 loss: 1.1981 2022/07/30 21:55:34 - mmengine - INFO - Epoch(train) [46][840/2505] lr: 5.0000e-05 eta: 8:43:34 time: 0.9313 data_time: 0.0293 memory: 32703 grad_norm: 17.9219 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9367 loss: 0.9367 2022/07/30 21:55:55 - mmengine - INFO - Epoch(train) [46][860/2505] lr: 5.0000e-05 eta: 8:43:15 time: 1.0574 data_time: 0.0294 memory: 32703 grad_norm: 19.2847 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9915 loss: 0.9915 2022/07/30 21:56:12 - mmengine - INFO - Epoch(train) [46][880/2505] lr: 5.0000e-05 eta: 8:42:54 time: 0.8442 data_time: 0.0282 memory: 32703 grad_norm: 19.4740 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0802 loss: 1.0802 2022/07/30 21:56:34 - mmengine - INFO - Epoch(train) [46][900/2505] lr: 5.0000e-05 eta: 8:42:35 time: 1.1004 data_time: 0.0315 memory: 32703 grad_norm: 18.8820 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8100 loss: 0.8100 2022/07/30 21:56:51 - mmengine - INFO - Epoch(train) [46][920/2505] lr: 5.0000e-05 eta: 8:42:14 time: 0.8802 data_time: 0.0303 memory: 32703 grad_norm: 19.3010 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9824 loss: 0.9824 2022/07/30 21:57:12 - mmengine - INFO - Epoch(train) [46][940/2505] lr: 5.0000e-05 eta: 8:41:55 time: 1.0574 data_time: 0.0347 memory: 32703 grad_norm: 19.4176 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9373 loss: 0.9373 2022/07/30 21:57:30 - mmengine - INFO - Epoch(train) [46][960/2505] lr: 5.0000e-05 eta: 8:41:35 time: 0.9021 data_time: 0.0275 memory: 32703 grad_norm: 18.5814 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1099 loss: 1.1099 2022/07/30 21:57:51 - mmengine - INFO - Epoch(train) [46][980/2505] lr: 5.0000e-05 eta: 8:41:15 time: 1.0304 data_time: 0.0289 memory: 32703 grad_norm: 19.2262 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0041 loss: 1.0041 2022/07/30 21:58:09 - mmengine - INFO - Epoch(train) [46][1000/2505] lr: 5.0000e-05 eta: 8:40:55 time: 0.8793 data_time: 0.0337 memory: 32703 grad_norm: 18.7294 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9937 loss: 0.9937 2022/07/30 21:58:30 - mmengine - INFO - Epoch(train) [46][1020/2505] lr: 5.0000e-05 eta: 8:40:35 time: 1.0443 data_time: 0.0289 memory: 32703 grad_norm: 19.1663 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0689 loss: 1.0689 2022/07/30 21:58:48 - mmengine - INFO - Epoch(train) [46][1040/2505] lr: 5.0000e-05 eta: 8:40:15 time: 0.9028 data_time: 0.0336 memory: 32703 grad_norm: 19.4745 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7462 loss: 0.7462 2022/07/30 21:59:10 - mmengine - INFO - Epoch(train) [46][1060/2505] lr: 5.0000e-05 eta: 8:39:56 time: 1.0937 data_time: 0.0267 memory: 32703 grad_norm: 20.4887 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0152 loss: 1.0152 2022/07/30 21:59:27 - mmengine - INFO - Epoch(train) [46][1080/2505] lr: 5.0000e-05 eta: 8:39:35 time: 0.8867 data_time: 0.0338 memory: 32703 grad_norm: 19.0462 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3096 loss: 1.3096 2022/07/30 21:59:49 - mmengine - INFO - Epoch(train) [46][1100/2505] lr: 5.0000e-05 eta: 8:39:16 time: 1.0627 data_time: 0.0298 memory: 32703 grad_norm: 18.4293 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9641 loss: 0.9641 2022/07/30 22:00:07 - mmengine - INFO - Epoch(train) [46][1120/2505] lr: 5.0000e-05 eta: 8:38:56 time: 0.9370 data_time: 0.0341 memory: 32703 grad_norm: 19.4521 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9060 loss: 0.9060 2022/07/30 22:00:28 - mmengine - INFO - Epoch(train) [46][1140/2505] lr: 5.0000e-05 eta: 8:38:36 time: 1.0399 data_time: 0.0360 memory: 32703 grad_norm: 19.7121 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1125 loss: 1.1125 2022/07/30 22:00:46 - mmengine - INFO - Epoch(train) [46][1160/2505] lr: 5.0000e-05 eta: 8:38:16 time: 0.8943 data_time: 0.0293 memory: 32703 grad_norm: 18.6942 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0581 loss: 1.0581 2022/07/30 22:01:07 - mmengine - INFO - Epoch(train) [46][1180/2505] lr: 5.0000e-05 eta: 8:37:56 time: 1.0451 data_time: 0.0303 memory: 32703 grad_norm: 19.1310 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0073 loss: 1.0073 2022/07/30 22:01:25 - mmengine - INFO - Epoch(train) [46][1200/2505] lr: 5.0000e-05 eta: 8:37:36 time: 0.8833 data_time: 0.0325 memory: 32703 grad_norm: 19.1271 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0962 loss: 1.0962 2022/07/30 22:01:45 - mmengine - INFO - Epoch(train) [46][1220/2505] lr: 5.0000e-05 eta: 8:37:16 time: 1.0351 data_time: 0.0305 memory: 32703 grad_norm: 19.2286 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1104 loss: 1.1104 2022/07/30 22:02:04 - mmengine - INFO - Epoch(train) [46][1240/2505] lr: 5.0000e-05 eta: 8:36:56 time: 0.9363 data_time: 0.0295 memory: 32703 grad_norm: 19.9500 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1304 loss: 1.1304 2022/07/30 22:02:24 - mmengine - INFO - Epoch(train) [46][1260/2505] lr: 5.0000e-05 eta: 8:36:37 time: 0.9968 data_time: 0.0299 memory: 32703 grad_norm: 18.8345 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0435 loss: 1.0435 2022/07/30 22:02:39 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 22:02:44 - mmengine - INFO - Epoch(train) [46][1280/2505] lr: 5.0000e-05 eta: 8:36:17 time: 0.9806 data_time: 0.0290 memory: 32703 grad_norm: 18.9728 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1079 loss: 1.1079 2022/07/30 22:03:03 - mmengine - INFO - Epoch(train) [46][1300/2505] lr: 5.0000e-05 eta: 8:35:57 time: 0.9816 data_time: 0.0305 memory: 32703 grad_norm: 18.8986 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1532 loss: 1.1532 2022/07/30 22:03:23 - mmengine - INFO - Epoch(train) [46][1320/2505] lr: 5.0000e-05 eta: 8:35:37 time: 0.9975 data_time: 0.0285 memory: 32703 grad_norm: 18.7797 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0117 loss: 1.0117 2022/07/30 22:03:42 - mmengine - INFO - Epoch(train) [46][1340/2505] lr: 5.0000e-05 eta: 8:35:17 time: 0.9199 data_time: 0.0259 memory: 32703 grad_norm: 18.6938 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1096 loss: 1.1096 2022/07/30 22:04:01 - mmengine - INFO - Epoch(train) [46][1360/2505] lr: 5.0000e-05 eta: 8:34:57 time: 0.9614 data_time: 0.0266 memory: 32703 grad_norm: 18.1419 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.0975 loss: 1.0975 2022/07/30 22:04:21 - mmengine - INFO - Epoch(train) [46][1380/2505] lr: 5.0000e-05 eta: 8:34:37 time: 1.0066 data_time: 0.0291 memory: 32703 grad_norm: 18.8863 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.8375 loss: 0.8375 2022/07/30 22:04:40 - mmengine - INFO - Epoch(train) [46][1400/2505] lr: 5.0000e-05 eta: 8:34:17 time: 0.9485 data_time: 0.0274 memory: 32703 grad_norm: 19.1097 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9813 loss: 0.9813 2022/07/30 22:05:00 - mmengine - INFO - Epoch(train) [46][1420/2505] lr: 5.0000e-05 eta: 8:33:57 time: 0.9947 data_time: 0.0289 memory: 32703 grad_norm: 19.6190 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9546 loss: 0.9546 2022/07/30 22:05:20 - mmengine - INFO - Epoch(train) [46][1440/2505] lr: 5.0000e-05 eta: 8:33:38 time: 1.0222 data_time: 0.0598 memory: 32703 grad_norm: 18.2431 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0411 loss: 1.0411 2022/07/30 22:05:40 - mmengine - INFO - Epoch(train) [46][1460/2505] lr: 5.0000e-05 eta: 8:33:18 time: 0.9619 data_time: 0.1067 memory: 32703 grad_norm: 19.3350 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0216 loss: 1.0216 2022/07/30 22:05:59 - mmengine - INFO - Epoch(train) [46][1480/2505] lr: 5.0000e-05 eta: 8:32:58 time: 0.9639 data_time: 0.0740 memory: 32703 grad_norm: 19.0044 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9378 loss: 0.9378 2022/07/30 22:06:18 - mmengine - INFO - Epoch(train) [46][1500/2505] lr: 5.0000e-05 eta: 8:32:38 time: 0.9647 data_time: 0.1521 memory: 32703 grad_norm: 19.0653 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1229 loss: 1.1229 2022/07/30 22:06:38 - mmengine - INFO - Epoch(train) [46][1520/2505] lr: 5.0000e-05 eta: 8:32:18 time: 0.9907 data_time: 0.0511 memory: 32703 grad_norm: 19.9051 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9774 loss: 0.9774 2022/07/30 22:06:58 - mmengine - INFO - Epoch(train) [46][1540/2505] lr: 5.0000e-05 eta: 8:31:58 time: 0.9864 data_time: 0.0287 memory: 32703 grad_norm: 18.3150 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9320 loss: 0.9320 2022/07/30 22:07:17 - mmengine - INFO - Epoch(train) [46][1560/2505] lr: 5.0000e-05 eta: 8:31:38 time: 0.9756 data_time: 0.0313 memory: 32703 grad_norm: 19.1703 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1415 loss: 1.1415 2022/07/30 22:07:37 - mmengine - INFO - Epoch(train) [46][1580/2505] lr: 5.0000e-05 eta: 8:31:19 time: 0.9803 data_time: 0.0396 memory: 32703 grad_norm: 19.6690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1465 loss: 1.1465 2022/07/30 22:07:57 - mmengine - INFO - Epoch(train) [46][1600/2505] lr: 5.0000e-05 eta: 8:30:59 time: 0.9833 data_time: 0.0652 memory: 32703 grad_norm: 19.3063 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0369 loss: 1.0369 2022/07/30 22:08:17 - mmengine - INFO - Epoch(train) [46][1620/2505] lr: 5.0000e-05 eta: 8:30:39 time: 1.0196 data_time: 0.0462 memory: 32703 grad_norm: 18.8993 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8916 loss: 0.8916 2022/07/30 22:08:35 - mmengine - INFO - Epoch(train) [46][1640/2505] lr: 5.0000e-05 eta: 8:30:19 time: 0.9014 data_time: 0.0283 memory: 32703 grad_norm: 19.0846 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8104 loss: 0.8104 2022/07/30 22:08:56 - mmengine - INFO - Epoch(train) [46][1660/2505] lr: 5.0000e-05 eta: 8:29:59 time: 1.0539 data_time: 0.0311 memory: 32703 grad_norm: 19.0630 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9549 loss: 0.9549 2022/07/30 22:09:14 - mmengine - INFO - Epoch(train) [46][1680/2505] lr: 5.0000e-05 eta: 8:29:39 time: 0.9072 data_time: 0.0271 memory: 32703 grad_norm: 18.9563 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0564 loss: 1.0564 2022/07/30 22:09:35 - mmengine - INFO - Epoch(train) [46][1700/2505] lr: 5.0000e-05 eta: 8:29:20 time: 1.0417 data_time: 0.0326 memory: 32703 grad_norm: 18.6848 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8694 loss: 0.8694 2022/07/30 22:09:54 - mmengine - INFO - Epoch(train) [46][1720/2505] lr: 5.0000e-05 eta: 8:28:59 time: 0.9215 data_time: 0.0317 memory: 32703 grad_norm: 19.6679 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9589 loss: 0.9589 2022/07/30 22:10:15 - mmengine - INFO - Epoch(train) [46][1740/2505] lr: 5.0000e-05 eta: 8:28:40 time: 1.0667 data_time: 0.0308 memory: 32703 grad_norm: 19.8512 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9331 loss: 0.9331 2022/07/30 22:10:34 - mmengine - INFO - Epoch(train) [46][1760/2505] lr: 5.0000e-05 eta: 8:28:20 time: 0.9612 data_time: 0.0314 memory: 32703 grad_norm: 19.1370 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9656 loss: 0.9656 2022/07/30 22:10:54 - mmengine - INFO - Epoch(train) [46][1780/2505] lr: 5.0000e-05 eta: 8:28:00 time: 0.9748 data_time: 0.0306 memory: 32703 grad_norm: 19.3332 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.0709 loss: 1.0709 2022/07/30 22:11:14 - mmengine - INFO - Epoch(train) [46][1800/2505] lr: 5.0000e-05 eta: 8:27:41 time: 1.0175 data_time: 0.0280 memory: 32703 grad_norm: 18.8570 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0515 loss: 1.0515 2022/07/30 22:11:33 - mmengine - INFO - Epoch(train) [46][1820/2505] lr: 5.0000e-05 eta: 8:27:21 time: 0.9634 data_time: 0.0314 memory: 32703 grad_norm: 17.9233 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9012 loss: 0.9012 2022/07/30 22:11:53 - mmengine - INFO - Epoch(train) [46][1840/2505] lr: 5.0000e-05 eta: 8:27:01 time: 0.9830 data_time: 0.0305 memory: 32703 grad_norm: 18.9541 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 1.0468 loss: 1.0468 2022/07/30 22:12:12 - mmengine - INFO - Epoch(train) [46][1860/2505] lr: 5.0000e-05 eta: 8:26:41 time: 0.9809 data_time: 0.0273 memory: 32703 grad_norm: 19.4009 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2400 loss: 1.2400 2022/07/30 22:12:33 - mmengine - INFO - Epoch(train) [46][1880/2505] lr: 5.0000e-05 eta: 8:26:21 time: 1.0175 data_time: 0.0291 memory: 32703 grad_norm: 18.7723 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1123 loss: 1.1123 2022/07/30 22:12:51 - mmengine - INFO - Epoch(train) [46][1900/2505] lr: 5.0000e-05 eta: 8:26:01 time: 0.9228 data_time: 0.0309 memory: 32703 grad_norm: 19.6041 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7846 loss: 0.7846 2022/07/30 22:13:12 - mmengine - INFO - Epoch(train) [46][1920/2505] lr: 5.0000e-05 eta: 8:25:41 time: 1.0201 data_time: 0.0262 memory: 32703 grad_norm: 18.9154 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9831 loss: 0.9831 2022/07/30 22:13:30 - mmengine - INFO - Epoch(train) [46][1940/2505] lr: 5.0000e-05 eta: 8:25:21 time: 0.9256 data_time: 0.0318 memory: 32703 grad_norm: 18.7518 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0073 loss: 1.0073 2022/07/30 22:13:52 - mmengine - INFO - Epoch(train) [46][1960/2505] lr: 5.0000e-05 eta: 8:25:02 time: 1.0729 data_time: 0.0297 memory: 32703 grad_norm: 19.2018 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8138 loss: 0.8138 2022/07/30 22:14:10 - mmengine - INFO - Epoch(train) [46][1980/2505] lr: 5.0000e-05 eta: 8:24:42 time: 0.9282 data_time: 0.0306 memory: 32703 grad_norm: 18.8718 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1189 loss: 1.1189 2022/07/30 22:14:31 - mmengine - INFO - Epoch(train) [46][2000/2505] lr: 5.0000e-05 eta: 8:24:22 time: 1.0360 data_time: 0.0288 memory: 32703 grad_norm: 19.5561 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8572 loss: 0.8572 2022/07/30 22:14:48 - mmengine - INFO - Epoch(train) [46][2020/2505] lr: 5.0000e-05 eta: 8:24:02 time: 0.8691 data_time: 0.0306 memory: 32703 grad_norm: 18.3861 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8640 loss: 0.8640 2022/07/30 22:15:10 - mmengine - INFO - Epoch(train) [46][2040/2505] lr: 5.0000e-05 eta: 8:23:42 time: 1.0750 data_time: 0.0291 memory: 32703 grad_norm: 18.7541 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9298 loss: 0.9298 2022/07/30 22:15:29 - mmengine - INFO - Epoch(train) [46][2060/2505] lr: 5.0000e-05 eta: 8:23:22 time: 0.9459 data_time: 0.0285 memory: 32703 grad_norm: 19.4217 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9474 loss: 0.9474 2022/07/30 22:15:48 - mmengine - INFO - Epoch(train) [46][2080/2505] lr: 5.0000e-05 eta: 8:23:02 time: 0.9511 data_time: 0.0322 memory: 32703 grad_norm: 18.4153 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9502 loss: 0.9502 2022/07/30 22:16:07 - mmengine - INFO - Epoch(train) [46][2100/2505] lr: 5.0000e-05 eta: 8:22:42 time: 0.9624 data_time: 0.0279 memory: 32703 grad_norm: 19.0089 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.8669 loss: 0.8669 2022/07/30 22:16:27 - mmengine - INFO - Epoch(train) [46][2120/2505] lr: 5.0000e-05 eta: 8:22:23 time: 0.9868 data_time: 0.0325 memory: 32703 grad_norm: 18.6961 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2416 loss: 1.2416 2022/07/30 22:16:48 - mmengine - INFO - Epoch(train) [46][2140/2505] lr: 5.0000e-05 eta: 8:22:03 time: 1.0642 data_time: 0.0274 memory: 32703 grad_norm: 18.8282 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0685 loss: 1.0685 2022/07/30 22:17:07 - mmengine - INFO - Epoch(train) [46][2160/2505] lr: 5.0000e-05 eta: 8:21:43 time: 0.9345 data_time: 0.0278 memory: 32703 grad_norm: 19.1070 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1221 loss: 1.1221 2022/07/30 22:17:27 - mmengine - INFO - Epoch(train) [46][2180/2505] lr: 5.0000e-05 eta: 8:21:24 time: 1.0286 data_time: 0.0258 memory: 32703 grad_norm: 19.2704 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.1352 loss: 1.1352 2022/07/30 22:17:47 - mmengine - INFO - Epoch(train) [46][2200/2505] lr: 5.0000e-05 eta: 8:21:04 time: 0.9600 data_time: 0.0281 memory: 32703 grad_norm: 18.9922 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9541 loss: 0.9541 2022/07/30 22:18:07 - mmengine - INFO - Epoch(train) [46][2220/2505] lr: 5.0000e-05 eta: 8:20:44 time: 1.0143 data_time: 0.0299 memory: 32703 grad_norm: 19.2406 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0680 loss: 1.0680 2022/07/30 22:18:25 - mmengine - INFO - Epoch(train) [46][2240/2505] lr: 5.0000e-05 eta: 8:20:24 time: 0.9108 data_time: 0.0338 memory: 32703 grad_norm: 19.2487 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1891 loss: 1.1891 2022/07/30 22:18:47 - mmengine - INFO - Epoch(train) [46][2260/2505] lr: 5.0000e-05 eta: 8:20:05 time: 1.1102 data_time: 0.0267 memory: 32703 grad_norm: 18.3911 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9274 loss: 0.9274 2022/07/30 22:18:59 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 22:19:05 - mmengine - INFO - Epoch(train) [46][2280/2505] lr: 5.0000e-05 eta: 8:19:44 time: 0.9077 data_time: 0.0338 memory: 32703 grad_norm: 18.8206 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2111 loss: 1.2111 2022/07/30 22:19:26 - mmengine - INFO - Epoch(train) [46][2300/2505] lr: 5.0000e-05 eta: 8:19:25 time: 1.0421 data_time: 0.0285 memory: 32703 grad_norm: 19.3402 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0011 loss: 1.0011 2022/07/30 22:19:43 - mmengine - INFO - Epoch(train) [46][2320/2505] lr: 5.0000e-05 eta: 8:19:04 time: 0.8295 data_time: 0.0288 memory: 32703 grad_norm: 19.5860 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9445 loss: 0.9445 2022/07/30 22:20:06 - mmengine - INFO - Epoch(train) [46][2340/2505] lr: 5.0000e-05 eta: 8:18:45 time: 1.1500 data_time: 0.0266 memory: 32703 grad_norm: 18.9635 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9251 loss: 0.9251 2022/07/30 22:20:23 - mmengine - INFO - Epoch(train) [46][2360/2505] lr: 5.0000e-05 eta: 8:18:25 time: 0.8502 data_time: 0.0279 memory: 32703 grad_norm: 19.3009 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9057 loss: 0.9057 2022/07/30 22:20:45 - mmengine - INFO - Epoch(train) [46][2380/2505] lr: 5.0000e-05 eta: 8:18:05 time: 1.1057 data_time: 0.0298 memory: 32703 grad_norm: 18.8385 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0114 loss: 1.0114 2022/07/30 22:21:03 - mmengine - INFO - Epoch(train) [46][2400/2505] lr: 5.0000e-05 eta: 8:17:45 time: 0.8849 data_time: 0.0271 memory: 32703 grad_norm: 18.8171 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2353 loss: 1.2353 2022/07/30 22:21:24 - mmengine - INFO - Epoch(train) [46][2420/2505] lr: 5.0000e-05 eta: 8:17:26 time: 1.0664 data_time: 0.0317 memory: 32703 grad_norm: 19.0922 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0259 loss: 1.0259 2022/07/30 22:21:42 - mmengine - INFO - Epoch(train) [46][2440/2505] lr: 5.0000e-05 eta: 8:17:05 time: 0.9139 data_time: 0.0270 memory: 32703 grad_norm: 18.6265 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9783 loss: 0.9783 2022/07/30 22:22:04 - mmengine - INFO - Epoch(train) [46][2460/2505] lr: 5.0000e-05 eta: 8:16:46 time: 1.0495 data_time: 0.0278 memory: 32703 grad_norm: 19.7643 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9079 loss: 0.9079 2022/07/30 22:22:21 - mmengine - INFO - Epoch(train) [46][2480/2505] lr: 5.0000e-05 eta: 8:16:26 time: 0.8699 data_time: 0.0346 memory: 32703 grad_norm: 18.1191 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 0.9801 loss: 0.9801 2022/07/30 22:22:38 - mmengine - INFO - Epoch(train) [46][2500/2505] lr: 5.0000e-05 eta: 8:16:05 time: 0.8756 data_time: 0.0286 memory: 32703 grad_norm: 18.4599 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0860 loss: 1.0860 2022/07/30 22:22:41 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 22:22:41 - mmengine - INFO - Epoch(train) [46][2505/2505] lr: 5.0000e-05 eta: 8:16:05 time: 0.6848 data_time: 0.0247 memory: 32703 grad_norm: 19.1272 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.0523 loss: 1.0523 2022/07/30 22:22:41 - mmengine - INFO - Saving checkpoint at 46 epochs 2022/07/30 22:23:11 - mmengine - INFO - Epoch(train) [47][20/2505] lr: 5.0000e-05 eta: 8:15:40 time: 1.2156 data_time: 0.6255 memory: 32703 grad_norm: 18.7559 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1281 loss: 1.1281 2022/07/30 22:23:29 - mmengine - INFO - Epoch(train) [47][40/2505] lr: 5.0000e-05 eta: 8:15:20 time: 0.8930 data_time: 0.3012 memory: 32703 grad_norm: 18.6409 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7818 loss: 0.7818 2022/07/30 22:23:50 - mmengine - INFO - Epoch(train) [47][60/2505] lr: 5.0000e-05 eta: 8:15:01 time: 1.0887 data_time: 0.4980 memory: 32703 grad_norm: 19.3940 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0588 loss: 1.0588 2022/07/30 22:24:09 - mmengine - INFO - Epoch(train) [47][80/2505] lr: 5.0000e-05 eta: 8:14:40 time: 0.9106 data_time: 0.3099 memory: 32703 grad_norm: 19.3377 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.0304 loss: 1.0304 2022/07/30 22:24:30 - mmengine - INFO - Epoch(train) [47][100/2505] lr: 5.0000e-05 eta: 8:14:21 time: 1.0464 data_time: 0.4729 memory: 32703 grad_norm: 19.2526 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9616 loss: 0.9616 2022/07/30 22:24:47 - mmengine - INFO - Epoch(train) [47][120/2505] lr: 5.0000e-05 eta: 8:14:01 time: 0.8918 data_time: 0.2986 memory: 32703 grad_norm: 18.1944 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0312 loss: 1.0312 2022/07/30 22:25:09 - mmengine - INFO - Epoch(train) [47][140/2505] lr: 5.0000e-05 eta: 8:13:41 time: 1.0644 data_time: 0.4737 memory: 32703 grad_norm: 18.8244 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0641 loss: 1.0641 2022/07/30 22:25:28 - mmengine - INFO - Epoch(train) [47][160/2505] lr: 5.0000e-05 eta: 8:13:21 time: 0.9450 data_time: 0.3345 memory: 32703 grad_norm: 19.0671 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9837 loss: 0.9837 2022/07/30 22:25:48 - mmengine - INFO - Epoch(train) [47][180/2505] lr: 5.0000e-05 eta: 8:13:02 time: 1.0364 data_time: 0.4455 memory: 32703 grad_norm: 19.9497 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2921 loss: 1.2921 2022/07/30 22:26:06 - mmengine - INFO - Epoch(train) [47][200/2505] lr: 5.0000e-05 eta: 8:12:41 time: 0.8959 data_time: 0.3088 memory: 32703 grad_norm: 19.1770 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9669 loss: 0.9669 2022/07/30 22:26:27 - mmengine - INFO - Epoch(train) [47][220/2505] lr: 5.0000e-05 eta: 8:12:22 time: 1.0227 data_time: 0.4344 memory: 32703 grad_norm: 18.4043 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9609 loss: 0.9609 2022/07/30 22:26:45 - mmengine - INFO - Epoch(train) [47][240/2505] lr: 5.0000e-05 eta: 8:12:02 time: 0.9099 data_time: 0.3349 memory: 32703 grad_norm: 18.7707 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0687 loss: 1.0687 2022/07/30 22:27:07 - mmengine - INFO - Epoch(train) [47][260/2505] lr: 5.0000e-05 eta: 8:11:42 time: 1.0826 data_time: 0.4872 memory: 32703 grad_norm: 18.8570 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9744 loss: 0.9744 2022/07/30 22:27:24 - mmengine - INFO - Epoch(train) [47][280/2505] lr: 5.0000e-05 eta: 8:11:22 time: 0.8759 data_time: 0.3044 memory: 32703 grad_norm: 19.4387 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9948 loss: 0.9948 2022/07/30 22:27:46 - mmengine - INFO - Epoch(train) [47][300/2505] lr: 5.0000e-05 eta: 8:11:02 time: 1.0741 data_time: 0.4773 memory: 32703 grad_norm: 18.5786 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9671 loss: 0.9671 2022/07/30 22:28:03 - mmengine - INFO - Epoch(train) [47][320/2505] lr: 5.0000e-05 eta: 8:10:42 time: 0.8841 data_time: 0.3190 memory: 32703 grad_norm: 18.3341 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9331 loss: 0.9331 2022/07/30 22:28:25 - mmengine - INFO - Epoch(train) [47][340/2505] lr: 5.0000e-05 eta: 8:10:23 time: 1.0588 data_time: 0.4735 memory: 32703 grad_norm: 18.7029 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1434 loss: 1.1434 2022/07/30 22:28:43 - mmengine - INFO - Epoch(train) [47][360/2505] lr: 5.0000e-05 eta: 8:10:03 time: 0.9230 data_time: 0.3532 memory: 32703 grad_norm: 18.1125 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9905 loss: 0.9905 2022/07/30 22:29:04 - mmengine - INFO - Epoch(train) [47][380/2505] lr: 5.0000e-05 eta: 8:09:43 time: 1.0460 data_time: 0.4317 memory: 32703 grad_norm: 19.3772 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1576 loss: 1.1576 2022/07/30 22:29:22 - mmengine - INFO - Epoch(train) [47][400/2505] lr: 5.0000e-05 eta: 8:09:23 time: 0.8821 data_time: 0.2931 memory: 32703 grad_norm: 19.3428 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1193 loss: 1.1193 2022/07/30 22:29:43 - mmengine - INFO - Epoch(train) [47][420/2505] lr: 5.0000e-05 eta: 8:09:03 time: 1.0870 data_time: 0.4643 memory: 32703 grad_norm: 18.1317 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9914 loss: 0.9914 2022/07/30 22:30:02 - mmengine - INFO - Epoch(train) [47][440/2505] lr: 5.0000e-05 eta: 8:08:43 time: 0.9229 data_time: 0.3386 memory: 32703 grad_norm: 19.5403 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8931 loss: 0.8931 2022/07/30 22:30:23 - mmengine - INFO - Epoch(train) [47][460/2505] lr: 5.0000e-05 eta: 8:08:24 time: 1.0594 data_time: 0.4478 memory: 32703 grad_norm: 19.8008 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9666 loss: 0.9666 2022/07/30 22:30:41 - mmengine - INFO - Epoch(train) [47][480/2505] lr: 5.0000e-05 eta: 8:08:03 time: 0.8783 data_time: 0.2250 memory: 32703 grad_norm: 18.4820 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9870 loss: 0.9870 2022/07/30 22:31:02 - mmengine - INFO - Epoch(train) [47][500/2505] lr: 5.0000e-05 eta: 8:07:44 time: 1.0723 data_time: 0.3037 memory: 32703 grad_norm: 19.1327 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0211 loss: 1.0211 2022/07/30 22:31:21 - mmengine - INFO - Epoch(train) [47][520/2505] lr: 5.0000e-05 eta: 8:07:24 time: 0.9371 data_time: 0.2252 memory: 32703 grad_norm: 18.6418 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8864 loss: 0.8864 2022/07/30 22:31:41 - mmengine - INFO - Epoch(train) [47][540/2505] lr: 5.0000e-05 eta: 8:07:04 time: 0.9997 data_time: 0.2088 memory: 32703 grad_norm: 19.3263 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1001 loss: 1.1001 2022/07/30 22:31:59 - mmengine - INFO - Epoch(train) [47][560/2505] lr: 5.0000e-05 eta: 8:06:44 time: 0.9171 data_time: 0.2028 memory: 32703 grad_norm: 19.5654 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0663 loss: 1.0663 2022/07/30 22:32:21 - mmengine - INFO - Epoch(train) [47][580/2505] lr: 5.0000e-05 eta: 8:06:25 time: 1.0978 data_time: 0.3636 memory: 32703 grad_norm: 18.2549 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9360 loss: 0.9360 2022/07/30 22:32:40 - mmengine - INFO - Epoch(train) [47][600/2505] lr: 5.0000e-05 eta: 8:06:05 time: 0.9217 data_time: 0.1961 memory: 32703 grad_norm: 19.7780 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 0.9734 loss: 0.9734 2022/07/30 22:33:00 - mmengine - INFO - Epoch(train) [47][620/2505] lr: 5.0000e-05 eta: 8:05:45 time: 1.0254 data_time: 0.2485 memory: 32703 grad_norm: 19.4755 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9329 loss: 0.9329 2022/07/30 22:33:18 - mmengine - INFO - Epoch(train) [47][640/2505] lr: 5.0000e-05 eta: 8:05:25 time: 0.9125 data_time: 0.2092 memory: 32703 grad_norm: 19.5973 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1781 loss: 1.1781 2022/07/30 22:33:39 - mmengine - INFO - Epoch(train) [47][660/2505] lr: 5.0000e-05 eta: 8:05:05 time: 1.0187 data_time: 0.3262 memory: 32703 grad_norm: 19.2222 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9994 loss: 0.9994 2022/07/30 22:33:57 - mmengine - INFO - Epoch(train) [47][680/2505] lr: 5.0000e-05 eta: 8:04:45 time: 0.9167 data_time: 0.1747 memory: 32703 grad_norm: 19.2903 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0402 loss: 1.0402 2022/07/30 22:34:18 - mmengine - INFO - Epoch(train) [47][700/2505] lr: 5.0000e-05 eta: 8:04:25 time: 1.0278 data_time: 0.2303 memory: 32703 grad_norm: 18.3491 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0045 loss: 1.0045 2022/07/30 22:34:36 - mmengine - INFO - Epoch(train) [47][720/2505] lr: 5.0000e-05 eta: 8:04:05 time: 0.9316 data_time: 0.2944 memory: 32703 grad_norm: 20.2160 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1709 loss: 1.1709 2022/07/30 22:34:58 - mmengine - INFO - Epoch(train) [47][740/2505] lr: 5.0000e-05 eta: 8:03:46 time: 1.0707 data_time: 0.4851 memory: 32703 grad_norm: 20.2816 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8355 loss: 0.8355 2022/07/30 22:35:17 - mmengine - INFO - Epoch(train) [47][760/2505] lr: 5.0000e-05 eta: 8:03:26 time: 0.9794 data_time: 0.3996 memory: 32703 grad_norm: 19.9229 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0508 loss: 1.0508 2022/07/30 22:35:30 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 22:35:40 - mmengine - INFO - Epoch(train) [47][780/2505] lr: 5.0000e-05 eta: 8:03:07 time: 1.1308 data_time: 0.5443 memory: 32703 grad_norm: 18.1010 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9814 loss: 0.9814 2022/07/30 22:35:57 - mmengine - INFO - Epoch(train) [47][800/2505] lr: 5.0000e-05 eta: 8:02:46 time: 0.8591 data_time: 0.2783 memory: 32703 grad_norm: 19.9007 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1319 loss: 1.1319 2022/07/30 22:36:17 - mmengine - INFO - Epoch(train) [47][820/2505] lr: 5.0000e-05 eta: 8:02:27 time: 1.0162 data_time: 0.4270 memory: 32703 grad_norm: 19.8449 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8712 loss: 0.8712 2022/07/30 22:36:35 - mmengine - INFO - Epoch(train) [47][840/2505] lr: 5.0000e-05 eta: 8:02:06 time: 0.8843 data_time: 0.3180 memory: 32703 grad_norm: 18.4103 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0654 loss: 1.0654 2022/07/30 22:36:56 - mmengine - INFO - Epoch(train) [47][860/2505] lr: 5.0000e-05 eta: 8:01:47 time: 1.0353 data_time: 0.4685 memory: 32703 grad_norm: 19.9217 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0002 loss: 1.0002 2022/07/30 22:37:14 - mmengine - INFO - Epoch(train) [47][880/2505] lr: 5.0000e-05 eta: 8:01:27 time: 0.9219 data_time: 0.3334 memory: 32703 grad_norm: 19.7952 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0315 loss: 1.0315 2022/07/30 22:37:35 - mmengine - INFO - Epoch(train) [47][900/2505] lr: 5.0000e-05 eta: 8:01:07 time: 1.0212 data_time: 0.4228 memory: 32703 grad_norm: 19.1917 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9829 loss: 0.9829 2022/07/30 22:37:53 - mmengine - INFO - Epoch(train) [47][920/2505] lr: 5.0000e-05 eta: 8:00:47 time: 0.9203 data_time: 0.2870 memory: 32703 grad_norm: 19.0063 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1215 loss: 1.1215 2022/07/30 22:38:14 - mmengine - INFO - Epoch(train) [47][940/2505] lr: 5.0000e-05 eta: 8:00:27 time: 1.0280 data_time: 0.3676 memory: 32703 grad_norm: 19.9919 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0509 loss: 1.0509 2022/07/30 22:38:32 - mmengine - INFO - Epoch(train) [47][960/2505] lr: 5.0000e-05 eta: 8:00:07 time: 0.9304 data_time: 0.2864 memory: 32703 grad_norm: 18.4925 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8086 loss: 0.8086 2022/07/30 22:38:53 - mmengine - INFO - Epoch(train) [47][980/2505] lr: 5.0000e-05 eta: 7:59:48 time: 1.0218 data_time: 0.3772 memory: 32703 grad_norm: 19.3127 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0698 loss: 1.0698 2022/07/30 22:39:12 - mmengine - INFO - Epoch(train) [47][1000/2505] lr: 5.0000e-05 eta: 7:59:28 time: 0.9694 data_time: 0.3600 memory: 32703 grad_norm: 19.2685 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0884 loss: 1.0884 2022/07/30 22:39:32 - mmengine - INFO - Epoch(train) [47][1020/2505] lr: 5.0000e-05 eta: 7:59:08 time: 0.9932 data_time: 0.4060 memory: 32703 grad_norm: 18.6706 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1417 loss: 1.1417 2022/07/30 22:39:52 - mmengine - INFO - Epoch(train) [47][1040/2505] lr: 5.0000e-05 eta: 7:58:48 time: 0.9858 data_time: 0.3862 memory: 32703 grad_norm: 19.2732 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9273 loss: 0.9273 2022/07/30 22:40:11 - mmengine - INFO - Epoch(train) [47][1060/2505] lr: 5.0000e-05 eta: 7:58:28 time: 0.9908 data_time: 0.3909 memory: 32703 grad_norm: 18.5944 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8572 loss: 0.8572 2022/07/30 22:40:32 - mmengine - INFO - Epoch(train) [47][1080/2505] lr: 5.0000e-05 eta: 7:58:09 time: 1.0017 data_time: 0.4050 memory: 32703 grad_norm: 19.6524 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1048 loss: 1.1048 2022/07/30 22:40:51 - mmengine - INFO - Epoch(train) [47][1100/2505] lr: 5.0000e-05 eta: 7:57:49 time: 0.9502 data_time: 0.3513 memory: 32703 grad_norm: 18.7582 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9871 loss: 0.9871 2022/07/30 22:41:10 - mmengine - INFO - Epoch(train) [47][1120/2505] lr: 5.0000e-05 eta: 7:57:29 time: 0.9955 data_time: 0.4223 memory: 32703 grad_norm: 19.6093 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8639 loss: 0.8639 2022/07/30 22:41:29 - mmengine - INFO - Epoch(train) [47][1140/2505] lr: 5.0000e-05 eta: 7:57:09 time: 0.9293 data_time: 0.3535 memory: 32703 grad_norm: 20.0056 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9018 loss: 0.9018 2022/07/30 22:41:50 - mmengine - INFO - Epoch(train) [47][1160/2505] lr: 5.0000e-05 eta: 7:56:49 time: 1.0495 data_time: 0.4461 memory: 32703 grad_norm: 19.1778 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9853 loss: 0.9853 2022/07/30 22:42:08 - mmengine - INFO - Epoch(train) [47][1180/2505] lr: 5.0000e-05 eta: 7:56:29 time: 0.9138 data_time: 0.3011 memory: 32703 grad_norm: 18.4493 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8244 loss: 0.8244 2022/07/30 22:42:29 - mmengine - INFO - Epoch(train) [47][1200/2505] lr: 5.0000e-05 eta: 7:56:10 time: 1.0451 data_time: 0.4210 memory: 32703 grad_norm: 19.5938 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0651 loss: 1.0651 2022/07/30 22:42:52 - mmengine - INFO - Epoch(train) [47][1220/2505] lr: 5.0000e-05 eta: 7:55:50 time: 1.1395 data_time: 0.3052 memory: 32703 grad_norm: 19.8552 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9836 loss: 0.9836 2022/07/30 22:43:09 - mmengine - INFO - Epoch(train) [47][1240/2505] lr: 5.0000e-05 eta: 7:55:30 time: 0.8444 data_time: 0.2756 memory: 32703 grad_norm: 18.5361 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8912 loss: 0.8912 2022/07/30 22:43:29 - mmengine - INFO - Epoch(train) [47][1260/2505] lr: 5.0000e-05 eta: 7:55:10 time: 0.9918 data_time: 0.3887 memory: 32703 grad_norm: 18.3450 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8857 loss: 0.8857 2022/07/30 22:43:48 - mmengine - INFO - Epoch(train) [47][1280/2505] lr: 5.0000e-05 eta: 7:54:50 time: 0.9794 data_time: 0.3634 memory: 32703 grad_norm: 19.5885 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1802 loss: 1.1802 2022/07/30 22:44:08 - mmengine - INFO - Epoch(train) [47][1300/2505] lr: 5.0000e-05 eta: 7:54:30 time: 0.9874 data_time: 0.3069 memory: 32703 grad_norm: 19.3646 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0907 loss: 1.0907 2022/07/30 22:44:27 - mmengine - INFO - Epoch(train) [47][1320/2505] lr: 5.0000e-05 eta: 7:54:11 time: 0.9559 data_time: 0.2303 memory: 32703 grad_norm: 18.4000 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0108 loss: 1.0108 2022/07/30 22:44:47 - mmengine - INFO - Epoch(train) [47][1340/2505] lr: 5.0000e-05 eta: 7:53:51 time: 0.9968 data_time: 0.1360 memory: 32703 grad_norm: 18.5895 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9005 loss: 0.9005 2022/07/30 22:45:08 - mmengine - INFO - Epoch(train) [47][1360/2505] lr: 5.0000e-05 eta: 7:53:31 time: 1.0219 data_time: 0.0821 memory: 32703 grad_norm: 18.6665 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9846 loss: 0.9846 2022/07/30 22:45:26 - mmengine - INFO - Epoch(train) [47][1380/2505] lr: 5.0000e-05 eta: 7:53:11 time: 0.9191 data_time: 0.1232 memory: 32703 grad_norm: 19.8017 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9619 loss: 0.9619 2022/07/30 22:45:47 - mmengine - INFO - Epoch(train) [47][1400/2505] lr: 5.0000e-05 eta: 7:52:51 time: 1.0464 data_time: 0.2529 memory: 32703 grad_norm: 19.6748 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1515 loss: 1.1515 2022/07/30 22:46:05 - mmengine - INFO - Epoch(train) [47][1420/2505] lr: 5.0000e-05 eta: 7:52:31 time: 0.9094 data_time: 0.1731 memory: 32703 grad_norm: 19.7049 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0990 loss: 1.0990 2022/07/30 22:46:25 - mmengine - INFO - Epoch(train) [47][1440/2505] lr: 5.0000e-05 eta: 7:52:11 time: 1.0013 data_time: 0.1215 memory: 32703 grad_norm: 19.5272 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9847 loss: 0.9847 2022/07/30 22:46:44 - mmengine - INFO - Epoch(train) [47][1460/2505] lr: 5.0000e-05 eta: 7:51:52 time: 0.9523 data_time: 0.1456 memory: 32703 grad_norm: 18.9817 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9867 loss: 0.9867 2022/07/30 22:47:04 - mmengine - INFO - Epoch(train) [47][1480/2505] lr: 5.0000e-05 eta: 7:51:32 time: 1.0059 data_time: 0.1189 memory: 32703 grad_norm: 18.4594 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8975 loss: 0.8975 2022/07/30 22:47:24 - mmengine - INFO - Epoch(train) [47][1500/2505] lr: 5.0000e-05 eta: 7:51:12 time: 0.9582 data_time: 0.1712 memory: 32703 grad_norm: 19.7277 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8390 loss: 0.8390 2022/07/30 22:47:44 - mmengine - INFO - Epoch(train) [47][1520/2505] lr: 5.0000e-05 eta: 7:50:52 time: 1.0029 data_time: 0.0875 memory: 32703 grad_norm: 19.9944 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0769 loss: 1.0769 2022/07/30 22:48:02 - mmengine - INFO - Epoch(train) [47][1540/2505] lr: 5.0000e-05 eta: 7:50:32 time: 0.9273 data_time: 0.0493 memory: 32703 grad_norm: 18.6812 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 0.9054 loss: 0.9054 2022/07/30 22:48:23 - mmengine - INFO - Epoch(train) [47][1560/2505] lr: 5.0000e-05 eta: 7:50:12 time: 1.0349 data_time: 0.0262 memory: 32703 grad_norm: 19.1196 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0415 loss: 1.0415 2022/07/30 22:48:42 - mmengine - INFO - Epoch(train) [47][1580/2505] lr: 5.0000e-05 eta: 7:49:52 time: 0.9531 data_time: 0.0269 memory: 32703 grad_norm: 18.1971 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9043 loss: 0.9043 2022/07/30 22:49:02 - mmengine - INFO - Epoch(train) [47][1600/2505] lr: 5.0000e-05 eta: 7:49:33 time: 0.9767 data_time: 0.0307 memory: 32703 grad_norm: 19.9131 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1716 loss: 1.1716 2022/07/30 22:49:21 - mmengine - INFO - Epoch(train) [47][1620/2505] lr: 5.0000e-05 eta: 7:49:13 time: 0.9785 data_time: 0.0294 memory: 32703 grad_norm: 19.8599 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0830 loss: 1.0830 2022/07/30 22:49:41 - mmengine - INFO - Epoch(train) [47][1640/2505] lr: 5.0000e-05 eta: 7:48:53 time: 0.9991 data_time: 0.0272 memory: 32703 grad_norm: 18.0327 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9230 loss: 0.9230 2022/07/30 22:50:01 - mmengine - INFO - Epoch(train) [47][1660/2505] lr: 5.0000e-05 eta: 7:48:33 time: 0.9724 data_time: 0.0458 memory: 32703 grad_norm: 18.9517 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8758 loss: 0.8758 2022/07/30 22:50:21 - mmengine - INFO - Epoch(train) [47][1680/2505] lr: 5.0000e-05 eta: 7:48:13 time: 1.0230 data_time: 0.0653 memory: 32703 grad_norm: 18.8305 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.1693 loss: 1.1693 2022/07/30 22:50:40 - mmengine - INFO - Epoch(train) [47][1700/2505] lr: 5.0000e-05 eta: 7:47:53 time: 0.9575 data_time: 0.0297 memory: 32703 grad_norm: 19.1175 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0599 loss: 1.0599 2022/07/30 22:51:02 - mmengine - INFO - Epoch(train) [47][1720/2505] lr: 5.0000e-05 eta: 7:47:34 time: 1.0829 data_time: 0.0282 memory: 32703 grad_norm: 19.1287 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1189 loss: 1.1189 2022/07/30 22:51:18 - mmengine - INFO - Epoch(train) [47][1740/2505] lr: 5.0000e-05 eta: 7:47:14 time: 0.8295 data_time: 0.0385 memory: 32703 grad_norm: 19.0312 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9185 loss: 0.9185 2022/07/30 22:51:39 - mmengine - INFO - Epoch(train) [47][1760/2505] lr: 5.0000e-05 eta: 7:46:54 time: 1.0229 data_time: 0.0887 memory: 32703 grad_norm: 19.6188 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1395 loss: 1.1395 2022/07/30 22:51:49 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 22:51:58 - mmengine - INFO - Epoch(train) [47][1780/2505] lr: 5.0000e-05 eta: 7:46:34 time: 0.9551 data_time: 0.0289 memory: 32703 grad_norm: 19.4471 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9363 loss: 0.9363 2022/07/30 22:52:19 - mmengine - INFO - Epoch(train) [47][1800/2505] lr: 5.0000e-05 eta: 7:46:14 time: 1.0502 data_time: 0.0514 memory: 32703 grad_norm: 19.1674 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 0.9705 loss: 0.9705 2022/07/30 22:52:38 - mmengine - INFO - Epoch(train) [47][1820/2505] lr: 5.0000e-05 eta: 7:45:54 time: 0.9464 data_time: 0.0294 memory: 32703 grad_norm: 19.1817 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1956 loss: 1.1956 2022/07/30 22:52:58 - mmengine - INFO - Epoch(train) [47][1840/2505] lr: 5.0000e-05 eta: 7:45:35 time: 1.0041 data_time: 0.0265 memory: 32703 grad_norm: 19.3211 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1152 loss: 1.1152 2022/07/30 22:53:16 - mmengine - INFO - Epoch(train) [47][1860/2505] lr: 5.0000e-05 eta: 7:45:15 time: 0.9158 data_time: 0.1165 memory: 32703 grad_norm: 18.7440 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8593 loss: 0.8593 2022/07/30 22:53:36 - mmengine - INFO - Epoch(train) [47][1880/2505] lr: 5.0000e-05 eta: 7:44:55 time: 0.9678 data_time: 0.1118 memory: 32703 grad_norm: 18.8019 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9195 loss: 0.9195 2022/07/30 22:53:56 - mmengine - INFO - Epoch(train) [47][1900/2505] lr: 5.0000e-05 eta: 7:44:35 time: 1.0077 data_time: 0.1962 memory: 32703 grad_norm: 20.2834 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.2225 loss: 1.2225 2022/07/30 22:54:15 - mmengine - INFO - Epoch(train) [47][1920/2505] lr: 5.0000e-05 eta: 7:44:15 time: 0.9593 data_time: 0.0556 memory: 32703 grad_norm: 19.8227 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8444 loss: 0.8444 2022/07/30 22:54:35 - mmengine - INFO - Epoch(train) [47][1940/2505] lr: 5.0000e-05 eta: 7:43:55 time: 0.9816 data_time: 0.0549 memory: 32703 grad_norm: 19.2798 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0005 loss: 1.0005 2022/07/30 22:54:54 - mmengine - INFO - Epoch(train) [47][1960/2505] lr: 5.0000e-05 eta: 7:43:35 time: 0.9594 data_time: 0.0794 memory: 32703 grad_norm: 18.9323 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1254 loss: 1.1254 2022/07/30 22:55:14 - mmengine - INFO - Epoch(train) [47][1980/2505] lr: 5.0000e-05 eta: 7:43:15 time: 0.9833 data_time: 0.1072 memory: 32703 grad_norm: 19.0451 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1830 loss: 1.1830 2022/07/30 22:55:35 - mmengine - INFO - Epoch(train) [47][2000/2505] lr: 5.0000e-05 eta: 7:42:56 time: 1.0631 data_time: 0.0277 memory: 32703 grad_norm: 18.6913 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9020 loss: 0.9020 2022/07/30 22:55:53 - mmengine - INFO - Epoch(train) [47][2020/2505] lr: 5.0000e-05 eta: 7:42:36 time: 0.8916 data_time: 0.0275 memory: 32703 grad_norm: 18.8306 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1141 loss: 1.1141 2022/07/30 22:56:14 - mmengine - INFO - Epoch(train) [47][2040/2505] lr: 5.0000e-05 eta: 7:42:16 time: 1.0418 data_time: 0.0315 memory: 32703 grad_norm: 19.4429 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8818 loss: 0.8818 2022/07/30 22:56:32 - mmengine - INFO - Epoch(train) [47][2060/2505] lr: 5.0000e-05 eta: 7:41:56 time: 0.9405 data_time: 0.0289 memory: 32703 grad_norm: 18.7732 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8580 loss: 0.8580 2022/07/30 22:56:54 - mmengine - INFO - Epoch(train) [47][2080/2505] lr: 5.0000e-05 eta: 7:41:37 time: 1.0564 data_time: 0.0295 memory: 32703 grad_norm: 19.1865 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9678 loss: 0.9678 2022/07/30 22:57:12 - mmengine - INFO - Epoch(train) [47][2100/2505] lr: 5.0000e-05 eta: 7:41:17 time: 0.9320 data_time: 0.0279 memory: 32703 grad_norm: 19.4547 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2116 loss: 1.2116 2022/07/30 22:57:33 - mmengine - INFO - Epoch(train) [47][2120/2505] lr: 5.0000e-05 eta: 7:40:57 time: 1.0261 data_time: 0.0266 memory: 32703 grad_norm: 19.0662 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8377 loss: 0.8377 2022/07/30 22:57:51 - mmengine - INFO - Epoch(train) [47][2140/2505] lr: 5.0000e-05 eta: 7:40:37 time: 0.8910 data_time: 0.0302 memory: 32703 grad_norm: 18.7077 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9151 loss: 0.9151 2022/07/30 22:58:11 - mmengine - INFO - Epoch(train) [47][2160/2505] lr: 5.0000e-05 eta: 7:40:17 time: 1.0426 data_time: 0.0281 memory: 32703 grad_norm: 19.8750 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2117 loss: 1.2117 2022/07/30 22:58:30 - mmengine - INFO - Epoch(train) [47][2180/2505] lr: 5.0000e-05 eta: 7:39:57 time: 0.9373 data_time: 0.0333 memory: 32703 grad_norm: 19.3699 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8020 loss: 0.8020 2022/07/30 22:58:50 - mmengine - INFO - Epoch(train) [47][2200/2505] lr: 5.0000e-05 eta: 7:39:37 time: 1.0115 data_time: 0.0491 memory: 32703 grad_norm: 19.5568 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1218 loss: 1.1218 2022/07/30 22:59:10 - mmengine - INFO - Epoch(train) [47][2220/2505] lr: 5.0000e-05 eta: 7:39:17 time: 0.9696 data_time: 0.1553 memory: 32703 grad_norm: 19.6010 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8005 loss: 0.8005 2022/07/30 22:59:30 - mmengine - INFO - Epoch(train) [47][2240/2505] lr: 5.0000e-05 eta: 7:38:58 time: 0.9925 data_time: 0.1130 memory: 32703 grad_norm: 19.3208 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8743 loss: 0.8743 2022/07/30 22:59:48 - mmengine - INFO - Epoch(train) [47][2260/2505] lr: 5.0000e-05 eta: 7:38:38 time: 0.9090 data_time: 0.0663 memory: 32703 grad_norm: 20.3775 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9225 loss: 0.9225 2022/07/30 23:00:09 - mmengine - INFO - Epoch(train) [47][2280/2505] lr: 5.0000e-05 eta: 7:38:18 time: 1.0508 data_time: 0.0284 memory: 32703 grad_norm: 18.5670 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9764 loss: 0.9764 2022/07/30 23:00:27 - mmengine - INFO - Epoch(train) [47][2300/2505] lr: 5.0000e-05 eta: 7:37:58 time: 0.8932 data_time: 0.0267 memory: 32703 grad_norm: 18.0834 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0910 loss: 1.0910 2022/07/30 23:00:48 - mmengine - INFO - Epoch(train) [47][2320/2505] lr: 5.0000e-05 eta: 7:37:38 time: 1.0784 data_time: 0.0275 memory: 32703 grad_norm: 18.9108 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9211 loss: 0.9211 2022/07/30 23:01:06 - mmengine - INFO - Epoch(train) [47][2340/2505] lr: 5.0000e-05 eta: 7:37:18 time: 0.8959 data_time: 0.0280 memory: 32703 grad_norm: 19.6217 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0042 loss: 1.0042 2022/07/30 23:01:27 - mmengine - INFO - Epoch(train) [47][2360/2505] lr: 5.0000e-05 eta: 7:36:59 time: 1.0302 data_time: 0.0276 memory: 32703 grad_norm: 18.9469 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1911 loss: 1.1911 2022/07/30 23:01:46 - mmengine - INFO - Epoch(train) [47][2380/2505] lr: 5.0000e-05 eta: 7:36:38 time: 0.9426 data_time: 0.0292 memory: 32703 grad_norm: 19.1718 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1538 loss: 1.1538 2022/07/30 23:02:06 - mmengine - INFO - Epoch(train) [47][2400/2505] lr: 5.0000e-05 eta: 7:36:19 time: 1.0219 data_time: 0.0308 memory: 32703 grad_norm: 18.7715 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0090 loss: 1.0090 2022/07/30 23:02:24 - mmengine - INFO - Epoch(train) [47][2420/2505] lr: 5.0000e-05 eta: 7:35:59 time: 0.9026 data_time: 0.0337 memory: 32703 grad_norm: 19.9136 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0840 loss: 1.0840 2022/07/30 23:02:45 - mmengine - INFO - Epoch(train) [47][2440/2505] lr: 5.0000e-05 eta: 7:35:39 time: 1.0382 data_time: 0.0285 memory: 32703 grad_norm: 19.1354 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0070 loss: 1.0070 2022/07/30 23:03:04 - mmengine - INFO - Epoch(train) [47][2460/2505] lr: 5.0000e-05 eta: 7:35:19 time: 0.9431 data_time: 0.0354 memory: 32703 grad_norm: 19.0929 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1296 loss: 1.1296 2022/07/30 23:03:24 - mmengine - INFO - Epoch(train) [47][2480/2505] lr: 5.0000e-05 eta: 7:34:59 time: 1.0159 data_time: 0.0337 memory: 32703 grad_norm: 18.2111 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2215 loss: 1.2215 2022/07/30 23:03:42 - mmengine - INFO - Epoch(train) [47][2500/2505] lr: 5.0000e-05 eta: 7:34:39 time: 0.8900 data_time: 0.0275 memory: 32703 grad_norm: 18.1218 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9898 loss: 0.9898 2022/07/30 23:03:45 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 23:03:45 - mmengine - INFO - Epoch(train) [47][2505/2505] lr: 5.0000e-05 eta: 7:34:39 time: 0.7192 data_time: 0.0212 memory: 32703 grad_norm: 18.6499 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9843 loss: 0.9843 2022/07/30 23:04:12 - mmengine - INFO - Epoch(train) [48][20/2505] lr: 5.0000e-05 eta: 7:34:15 time: 1.3603 data_time: 0.7771 memory: 32703 grad_norm: 19.1439 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9986 loss: 0.9986 2022/07/30 23:04:31 - mmengine - INFO - Epoch(train) [48][40/2505] lr: 5.0000e-05 eta: 7:33:55 time: 0.9745 data_time: 0.3759 memory: 32703 grad_norm: 19.5547 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2139 loss: 1.2139 2022/07/30 23:04:53 - mmengine - INFO - Epoch(train) [48][60/2505] lr: 5.0000e-05 eta: 7:33:36 time: 1.0630 data_time: 0.4883 memory: 32703 grad_norm: 19.7917 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0142 loss: 1.0142 2022/07/30 23:05:12 - mmengine - INFO - Epoch(train) [48][80/2505] lr: 5.0000e-05 eta: 7:33:16 time: 0.9456 data_time: 0.3487 memory: 32703 grad_norm: 19.1934 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8941 loss: 0.8941 2022/07/30 23:05:32 - mmengine - INFO - Epoch(train) [48][100/2505] lr: 5.0000e-05 eta: 7:32:56 time: 1.0259 data_time: 0.4511 memory: 32703 grad_norm: 18.6889 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0482 loss: 1.0482 2022/07/30 23:05:51 - mmengine - INFO - Epoch(train) [48][120/2505] lr: 5.0000e-05 eta: 7:32:36 time: 0.9343 data_time: 0.3490 memory: 32703 grad_norm: 18.8221 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9214 loss: 0.9214 2022/07/30 23:06:14 - mmengine - INFO - Epoch(train) [48][140/2505] lr: 5.0000e-05 eta: 7:32:17 time: 1.1374 data_time: 0.5397 memory: 32703 grad_norm: 19.0214 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9713 loss: 0.9713 2022/07/30 23:06:31 - mmengine - INFO - Epoch(train) [48][160/2505] lr: 5.0000e-05 eta: 7:31:56 time: 0.8482 data_time: 0.2612 memory: 32703 grad_norm: 18.5579 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9204 loss: 0.9204 2022/07/30 23:06:52 - mmengine - INFO - Epoch(train) [48][180/2505] lr: 5.0000e-05 eta: 7:31:37 time: 1.0648 data_time: 0.4647 memory: 32703 grad_norm: 19.9374 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0270 loss: 1.0270 2022/07/30 23:07:09 - mmengine - INFO - Epoch(train) [48][200/2505] lr: 5.0000e-05 eta: 7:31:16 time: 0.8480 data_time: 0.2703 memory: 32703 grad_norm: 19.4062 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1386 loss: 1.1386 2022/07/30 23:07:30 - mmengine - INFO - Epoch(train) [48][220/2505] lr: 5.0000e-05 eta: 7:30:57 time: 1.0358 data_time: 0.4289 memory: 32703 grad_norm: 19.0370 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9116 loss: 0.9116 2022/07/30 23:07:48 - mmengine - INFO - Epoch(train) [48][240/2505] lr: 5.0000e-05 eta: 7:30:37 time: 0.8941 data_time: 0.3230 memory: 32703 grad_norm: 18.7583 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9010 loss: 0.9010 2022/07/30 23:08:09 - mmengine - INFO - Epoch(train) [48][260/2505] lr: 5.0000e-05 eta: 7:30:17 time: 1.0743 data_time: 0.4866 memory: 32703 grad_norm: 18.7198 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0450 loss: 1.0450 2022/07/30 23:08:15 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 23:08:27 - mmengine - INFO - Epoch(train) [48][280/2505] lr: 5.0000e-05 eta: 7:29:57 time: 0.8995 data_time: 0.3276 memory: 32703 grad_norm: 19.6049 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0489 loss: 1.0489 2022/07/30 23:08:49 - mmengine - INFO - Epoch(train) [48][300/2505] lr: 5.0000e-05 eta: 7:29:38 time: 1.0929 data_time: 0.4940 memory: 32703 grad_norm: 20.5968 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8445 loss: 0.8445 2022/07/30 23:09:07 - mmengine - INFO - Epoch(train) [48][320/2505] lr: 5.0000e-05 eta: 7:29:18 time: 0.9129 data_time: 0.2801 memory: 32703 grad_norm: 19.2694 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0048 loss: 1.0048 2022/07/30 23:09:30 - mmengine - INFO - Epoch(train) [48][340/2505] lr: 5.0000e-05 eta: 7:28:58 time: 1.1256 data_time: 0.3641 memory: 32703 grad_norm: 19.3174 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8433 loss: 0.8433 2022/07/30 23:09:51 - mmengine - INFO - Epoch(train) [48][360/2505] lr: 5.0000e-05 eta: 7:28:39 time: 1.0569 data_time: 0.2891 memory: 32703 grad_norm: 19.5017 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0149 loss: 1.0149 2022/07/30 23:10:10 - mmengine - INFO - Epoch(train) [48][380/2505] lr: 5.0000e-05 eta: 7:28:19 time: 0.9418 data_time: 0.3409 memory: 32703 grad_norm: 18.2572 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8799 loss: 0.8799 2022/07/30 23:10:27 - mmengine - INFO - Epoch(train) [48][400/2505] lr: 5.0000e-05 eta: 7:27:59 time: 0.8903 data_time: 0.3062 memory: 32703 grad_norm: 19.6372 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0003 loss: 1.0003 2022/07/30 23:10:48 - mmengine - INFO - Epoch(train) [48][420/2505] lr: 5.0000e-05 eta: 7:27:39 time: 1.0482 data_time: 0.4748 memory: 32703 grad_norm: 20.2174 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0047 loss: 1.0047 2022/07/30 23:11:07 - mmengine - INFO - Epoch(train) [48][440/2505] lr: 5.0000e-05 eta: 7:27:19 time: 0.9154 data_time: 0.3438 memory: 32703 grad_norm: 19.1115 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1062 loss: 1.1062 2022/07/30 23:11:28 - mmengine - INFO - Epoch(train) [48][460/2505] lr: 5.0000e-05 eta: 7:27:00 time: 1.0730 data_time: 0.4791 memory: 32703 grad_norm: 18.8488 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9234 loss: 0.9234 2022/07/30 23:11:46 - mmengine - INFO - Epoch(train) [48][480/2505] lr: 5.0000e-05 eta: 7:26:39 time: 0.9060 data_time: 0.3195 memory: 32703 grad_norm: 19.5418 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9797 loss: 0.9797 2022/07/30 23:12:07 - mmengine - INFO - Epoch(train) [48][500/2505] lr: 5.0000e-05 eta: 7:26:20 time: 1.0557 data_time: 0.4484 memory: 32703 grad_norm: 19.3410 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0460 loss: 1.0460 2022/07/30 23:12:26 - mmengine - INFO - Epoch(train) [48][520/2505] lr: 5.0000e-05 eta: 7:26:00 time: 0.9160 data_time: 0.3144 memory: 32703 grad_norm: 19.5380 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8547 loss: 0.8547 2022/07/30 23:12:46 - mmengine - INFO - Epoch(train) [48][540/2505] lr: 5.0000e-05 eta: 7:25:40 time: 1.0330 data_time: 0.4420 memory: 32703 grad_norm: 19.2648 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.0825 loss: 1.0825 2022/07/30 23:13:05 - mmengine - INFO - Epoch(train) [48][560/2505] lr: 5.0000e-05 eta: 7:25:20 time: 0.9347 data_time: 0.3445 memory: 32703 grad_norm: 19.6301 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0613 loss: 1.0613 2022/07/30 23:13:25 - mmengine - INFO - Epoch(train) [48][580/2505] lr: 5.0000e-05 eta: 7:25:00 time: 1.0113 data_time: 0.4187 memory: 32703 grad_norm: 19.0735 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0484 loss: 1.0484 2022/07/30 23:13:44 - mmengine - INFO - Epoch(train) [48][600/2505] lr: 5.0000e-05 eta: 7:24:40 time: 0.9212 data_time: 0.3277 memory: 32703 grad_norm: 19.2183 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9615 loss: 0.9615 2022/07/30 23:14:04 - mmengine - INFO - Epoch(train) [48][620/2505] lr: 5.0000e-05 eta: 7:24:20 time: 0.9915 data_time: 0.3984 memory: 32703 grad_norm: 19.4197 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9830 loss: 0.9830 2022/07/30 23:14:23 - mmengine - INFO - Epoch(train) [48][640/2505] lr: 5.0000e-05 eta: 7:24:00 time: 0.9453 data_time: 0.3706 memory: 32703 grad_norm: 19.5896 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2037 loss: 1.2037 2022/07/30 23:14:44 - mmengine - INFO - Epoch(train) [48][660/2505] lr: 5.0000e-05 eta: 7:23:41 time: 1.0629 data_time: 0.4842 memory: 32703 grad_norm: 19.1394 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9606 loss: 0.9606 2022/07/30 23:15:03 - mmengine - INFO - Epoch(train) [48][680/2505] lr: 5.0000e-05 eta: 7:23:21 time: 0.9462 data_time: 0.3502 memory: 32703 grad_norm: 19.6601 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9971 loss: 0.9971 2022/07/30 23:15:23 - mmengine - INFO - Epoch(train) [48][700/2505] lr: 5.0000e-05 eta: 7:23:01 time: 1.0243 data_time: 0.4250 memory: 32703 grad_norm: 19.9126 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0369 loss: 1.0369 2022/07/30 23:15:42 - mmengine - INFO - Epoch(train) [48][720/2505] lr: 5.0000e-05 eta: 7:22:41 time: 0.9310 data_time: 0.3260 memory: 32703 grad_norm: 19.7380 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9399 loss: 0.9399 2022/07/30 23:16:03 - mmengine - INFO - Epoch(train) [48][740/2505] lr: 5.0000e-05 eta: 7:22:22 time: 1.0340 data_time: 0.4592 memory: 32703 grad_norm: 19.2209 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9778 loss: 0.9778 2022/07/30 23:16:21 - mmengine - INFO - Epoch(train) [48][760/2505] lr: 5.0000e-05 eta: 7:22:02 time: 0.9204 data_time: 0.3398 memory: 32703 grad_norm: 19.4784 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0564 loss: 1.0564 2022/07/30 23:16:43 - mmengine - INFO - Epoch(train) [48][780/2505] lr: 5.0000e-05 eta: 7:21:42 time: 1.0766 data_time: 0.4720 memory: 32703 grad_norm: 19.4562 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9062 loss: 0.9062 2022/07/30 23:17:01 - mmengine - INFO - Epoch(train) [48][800/2505] lr: 5.0000e-05 eta: 7:21:22 time: 0.9234 data_time: 0.2954 memory: 32703 grad_norm: 19.2298 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0434 loss: 1.0434 2022/07/30 23:17:22 - mmengine - INFO - Epoch(train) [48][820/2505] lr: 5.0000e-05 eta: 7:21:03 time: 1.0577 data_time: 0.4421 memory: 32703 grad_norm: 19.3922 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0344 loss: 1.0344 2022/07/30 23:17:38 - mmengine - INFO - Epoch(train) [48][840/2505] lr: 5.0000e-05 eta: 7:20:42 time: 0.7957 data_time: 0.2278 memory: 32703 grad_norm: 20.1372 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8293 loss: 0.8293 2022/07/30 23:17:59 - mmengine - INFO - Epoch(train) [48][860/2505] lr: 5.0000e-05 eta: 7:20:22 time: 1.0520 data_time: 0.4460 memory: 32703 grad_norm: 18.4976 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9784 loss: 0.9784 2022/07/30 23:18:18 - mmengine - INFO - Epoch(train) [48][880/2505] lr: 5.0000e-05 eta: 7:20:02 time: 0.9369 data_time: 0.3607 memory: 32703 grad_norm: 19.4369 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8984 loss: 0.8984 2022/07/30 23:18:40 - mmengine - INFO - Epoch(train) [48][900/2505] lr: 5.0000e-05 eta: 7:19:43 time: 1.0888 data_time: 0.4879 memory: 32703 grad_norm: 19.0633 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1236 loss: 1.1236 2022/07/30 23:18:57 - mmengine - INFO - Epoch(train) [48][920/2505] lr: 5.0000e-05 eta: 7:19:23 time: 0.8769 data_time: 0.3083 memory: 32703 grad_norm: 19.9895 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0400 loss: 1.0400 2022/07/30 23:19:18 - mmengine - INFO - Epoch(train) [48][940/2505] lr: 5.0000e-05 eta: 7:19:03 time: 1.0552 data_time: 0.4791 memory: 32703 grad_norm: 19.6490 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9546 loss: 0.9546 2022/07/30 23:19:37 - mmengine - INFO - Epoch(train) [48][960/2505] lr: 5.0000e-05 eta: 7:18:43 time: 0.9132 data_time: 0.3204 memory: 32703 grad_norm: 18.7616 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7997 loss: 0.7997 2022/07/30 23:19:58 - mmengine - INFO - Epoch(train) [48][980/2505] lr: 5.0000e-05 eta: 7:18:24 time: 1.0484 data_time: 0.4542 memory: 32703 grad_norm: 18.9175 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0263 loss: 1.0263 2022/07/30 23:20:17 - mmengine - INFO - Epoch(train) [48][1000/2505] lr: 5.0000e-05 eta: 7:18:04 time: 0.9465 data_time: 0.3401 memory: 32703 grad_norm: 20.0066 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9427 loss: 0.9427 2022/07/30 23:20:38 - mmengine - INFO - Epoch(train) [48][1020/2505] lr: 5.0000e-05 eta: 7:17:44 time: 1.0536 data_time: 0.4474 memory: 32703 grad_norm: 19.8364 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9963 loss: 0.9963 2022/07/30 23:20:57 - mmengine - INFO - Epoch(train) [48][1040/2505] lr: 5.0000e-05 eta: 7:17:24 time: 0.9540 data_time: 0.3439 memory: 32703 grad_norm: 19.3018 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8675 loss: 0.8675 2022/07/30 23:21:17 - mmengine - INFO - Epoch(train) [48][1060/2505] lr: 5.0000e-05 eta: 7:17:04 time: 0.9889 data_time: 0.3860 memory: 32703 grad_norm: 18.8872 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0887 loss: 1.0887 2022/07/30 23:21:35 - mmengine - INFO - Epoch(train) [48][1080/2505] lr: 5.0000e-05 eta: 7:16:44 time: 0.9304 data_time: 0.3429 memory: 32703 grad_norm: 19.3631 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8011 loss: 0.8011 2022/07/30 23:21:56 - mmengine - INFO - Epoch(train) [48][1100/2505] lr: 5.0000e-05 eta: 7:16:25 time: 1.0517 data_time: 0.4492 memory: 32703 grad_norm: 19.0908 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9575 loss: 0.9575 2022/07/30 23:22:16 - mmengine - INFO - Epoch(train) [48][1120/2505] lr: 5.0000e-05 eta: 7:16:05 time: 0.9758 data_time: 0.3715 memory: 32703 grad_norm: 20.1784 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0422 loss: 1.0422 2022/07/30 23:22:36 - mmengine - INFO - Epoch(train) [48][1140/2505] lr: 5.0000e-05 eta: 7:15:45 time: 0.9915 data_time: 0.3992 memory: 32703 grad_norm: 18.9687 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2988 loss: 1.2988 2022/07/30 23:22:54 - mmengine - INFO - Epoch(train) [48][1160/2505] lr: 5.0000e-05 eta: 7:15:25 time: 0.9123 data_time: 0.3208 memory: 32703 grad_norm: 18.8477 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9574 loss: 0.9574 2022/07/30 23:23:15 - mmengine - INFO - Epoch(train) [48][1180/2505] lr: 5.0000e-05 eta: 7:15:05 time: 1.0419 data_time: 0.4679 memory: 32703 grad_norm: 18.6986 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0945 loss: 1.0945 2022/07/30 23:23:33 - mmengine - INFO - Epoch(train) [48][1200/2505] lr: 5.0000e-05 eta: 7:14:45 time: 0.9339 data_time: 0.3304 memory: 32703 grad_norm: 18.9025 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0863 loss: 1.0863 2022/07/30 23:23:55 - mmengine - INFO - Epoch(train) [48][1220/2505] lr: 5.0000e-05 eta: 7:14:26 time: 1.0697 data_time: 0.4649 memory: 32703 grad_norm: 18.7791 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8013 loss: 0.8013 2022/07/30 23:24:13 - mmengine - INFO - Epoch(train) [48][1240/2505] lr: 5.0000e-05 eta: 7:14:06 time: 0.9062 data_time: 0.2829 memory: 32703 grad_norm: 19.4029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1087 loss: 1.1087 2022/07/30 23:24:35 - mmengine - INFO - Epoch(train) [48][1260/2505] lr: 5.0000e-05 eta: 7:13:46 time: 1.1166 data_time: 0.5089 memory: 32703 grad_norm: 18.3196 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1011 loss: 1.1011 2022/07/30 23:24:38 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 23:24:54 - mmengine - INFO - Epoch(train) [48][1280/2505] lr: 5.0000e-05 eta: 7:13:26 time: 0.9265 data_time: 0.3406 memory: 32703 grad_norm: 19.1155 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0337 loss: 1.0337 2022/07/30 23:25:15 - mmengine - INFO - Epoch(train) [48][1300/2505] lr: 5.0000e-05 eta: 7:13:07 time: 1.0470 data_time: 0.4719 memory: 32703 grad_norm: 19.0036 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9565 loss: 0.9565 2022/07/30 23:25:32 - mmengine - INFO - Epoch(train) [48][1320/2505] lr: 5.0000e-05 eta: 7:12:47 time: 0.8765 data_time: 0.2978 memory: 32703 grad_norm: 18.8411 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0941 loss: 1.0941 2022/07/30 23:25:53 - mmengine - INFO - Epoch(train) [48][1340/2505] lr: 5.0000e-05 eta: 7:12:27 time: 1.0471 data_time: 0.4445 memory: 32703 grad_norm: 18.7618 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8720 loss: 0.8720 2022/07/30 23:26:10 - mmengine - INFO - Epoch(train) [48][1360/2505] lr: 5.0000e-05 eta: 7:12:07 time: 0.8433 data_time: 0.2692 memory: 32703 grad_norm: 18.4883 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8499 loss: 0.8499 2022/07/30 23:26:32 - mmengine - INFO - Epoch(train) [48][1380/2505] lr: 5.0000e-05 eta: 7:11:47 time: 1.0811 data_time: 0.4538 memory: 32703 grad_norm: 18.7447 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2155 loss: 1.2155 2022/07/30 23:26:49 - mmengine - INFO - Epoch(train) [48][1400/2505] lr: 5.0000e-05 eta: 7:11:27 time: 0.8825 data_time: 0.2512 memory: 32703 grad_norm: 19.0023 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8578 loss: 0.8578 2022/07/30 23:27:11 - mmengine - INFO - Epoch(train) [48][1420/2505] lr: 5.0000e-05 eta: 7:11:08 time: 1.1006 data_time: 0.4211 memory: 32703 grad_norm: 19.4348 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9721 loss: 0.9721 2022/07/30 23:27:29 - mmengine - INFO - Epoch(train) [48][1440/2505] lr: 5.0000e-05 eta: 7:10:47 time: 0.8808 data_time: 0.2643 memory: 32703 grad_norm: 18.7208 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1419 loss: 1.1419 2022/07/30 23:27:50 - mmengine - INFO - Epoch(train) [48][1460/2505] lr: 5.0000e-05 eta: 7:10:28 time: 1.0469 data_time: 0.4418 memory: 32703 grad_norm: 18.6532 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8280 loss: 0.8280 2022/07/30 23:28:08 - mmengine - INFO - Epoch(train) [48][1480/2505] lr: 5.0000e-05 eta: 7:10:08 time: 0.9039 data_time: 0.3255 memory: 32703 grad_norm: 18.9963 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9794 loss: 0.9794 2022/07/30 23:28:29 - mmengine - INFO - Epoch(train) [48][1500/2505] lr: 5.0000e-05 eta: 7:09:48 time: 1.0409 data_time: 0.4450 memory: 32703 grad_norm: 18.8335 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1729 loss: 1.1729 2022/07/30 23:28:46 - mmengine - INFO - Epoch(train) [48][1520/2505] lr: 5.0000e-05 eta: 7:09:28 time: 0.8414 data_time: 0.2618 memory: 32703 grad_norm: 18.9047 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0607 loss: 1.0607 2022/07/30 23:29:07 - mmengine - INFO - Epoch(train) [48][1540/2505] lr: 5.0000e-05 eta: 7:09:08 time: 1.0483 data_time: 0.4698 memory: 32703 grad_norm: 18.7604 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0049 loss: 1.0049 2022/07/30 23:29:24 - mmengine - INFO - Epoch(train) [48][1560/2505] lr: 5.0000e-05 eta: 7:08:48 time: 0.8849 data_time: 0.2915 memory: 32703 grad_norm: 20.0774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9350 loss: 0.9350 2022/07/30 23:29:45 - mmengine - INFO - Epoch(train) [48][1580/2505] lr: 5.0000e-05 eta: 7:08:28 time: 1.0289 data_time: 0.2591 memory: 32703 grad_norm: 17.8063 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0719 loss: 1.0719 2022/07/30 23:30:04 - mmengine - INFO - Epoch(train) [48][1600/2505] lr: 5.0000e-05 eta: 7:08:08 time: 0.9378 data_time: 0.1604 memory: 32703 grad_norm: 18.2781 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.7710 loss: 0.7710 2022/07/30 23:30:25 - mmengine - INFO - Epoch(train) [48][1620/2505] lr: 5.0000e-05 eta: 7:07:49 time: 1.0813 data_time: 0.2201 memory: 32703 grad_norm: 19.3521 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8828 loss: 0.8828 2022/07/30 23:30:44 - mmengine - INFO - Epoch(train) [48][1640/2505] lr: 5.0000e-05 eta: 7:07:29 time: 0.9320 data_time: 0.1258 memory: 32703 grad_norm: 19.6016 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8355 loss: 0.8355 2022/07/30 23:31:05 - mmengine - INFO - Epoch(train) [48][1660/2505] lr: 5.0000e-05 eta: 7:07:09 time: 1.0369 data_time: 0.1372 memory: 32703 grad_norm: 18.8897 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1724 loss: 1.1724 2022/07/30 23:31:24 - mmengine - INFO - Epoch(train) [48][1680/2505] lr: 5.0000e-05 eta: 7:06:49 time: 0.9740 data_time: 0.1494 memory: 32703 grad_norm: 19.3571 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9243 loss: 0.9243 2022/07/30 23:31:44 - mmengine - INFO - Epoch(train) [48][1700/2505] lr: 5.0000e-05 eta: 7:06:29 time: 0.9740 data_time: 0.1212 memory: 32703 grad_norm: 20.1248 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2548 loss: 1.2548 2022/07/30 23:32:05 - mmengine - INFO - Epoch(train) [48][1720/2505] lr: 5.0000e-05 eta: 7:06:10 time: 1.0447 data_time: 0.0720 memory: 32703 grad_norm: 19.2529 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9405 loss: 0.9405 2022/07/30 23:32:23 - mmengine - INFO - Epoch(train) [48][1740/2505] lr: 5.0000e-05 eta: 7:05:50 time: 0.8969 data_time: 0.0883 memory: 32703 grad_norm: 19.4637 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0567 loss: 1.0567 2022/07/30 23:32:43 - mmengine - INFO - Epoch(train) [48][1760/2505] lr: 5.0000e-05 eta: 7:05:30 time: 1.0223 data_time: 0.0673 memory: 32703 grad_norm: 19.6979 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9141 loss: 0.9141 2022/07/30 23:33:02 - mmengine - INFO - Epoch(train) [48][1780/2505] lr: 5.0000e-05 eta: 7:05:10 time: 0.9700 data_time: 0.1710 memory: 32703 grad_norm: 19.2810 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9456 loss: 0.9456 2022/07/30 23:33:22 - mmengine - INFO - Epoch(train) [48][1800/2505] lr: 5.0000e-05 eta: 7:04:50 time: 0.9922 data_time: 0.1091 memory: 32703 grad_norm: 19.6195 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9767 loss: 0.9767 2022/07/30 23:33:42 - mmengine - INFO - Epoch(train) [48][1820/2505] lr: 5.0000e-05 eta: 7:04:31 time: 1.0022 data_time: 0.1020 memory: 32703 grad_norm: 18.5035 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0282 loss: 1.0282 2022/07/30 23:34:02 - mmengine - INFO - Epoch(train) [48][1840/2505] lr: 5.0000e-05 eta: 7:04:11 time: 0.9804 data_time: 0.0372 memory: 32703 grad_norm: 19.1221 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1183 loss: 1.1183 2022/07/30 23:34:23 - mmengine - INFO - Epoch(train) [48][1860/2505] lr: 5.0000e-05 eta: 7:03:51 time: 1.0613 data_time: 0.0662 memory: 32703 grad_norm: 19.6772 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9727 loss: 0.9727 2022/07/30 23:34:41 - mmengine - INFO - Epoch(train) [48][1880/2505] lr: 5.0000e-05 eta: 7:03:31 time: 0.8816 data_time: 0.1307 memory: 32703 grad_norm: 18.7450 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9685 loss: 0.9685 2022/07/30 23:35:01 - mmengine - INFO - Epoch(train) [48][1900/2505] lr: 5.0000e-05 eta: 7:03:11 time: 1.0255 data_time: 0.1030 memory: 32703 grad_norm: 19.3920 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9250 loss: 0.9250 2022/07/30 23:35:19 - mmengine - INFO - Epoch(train) [48][1920/2505] lr: 5.0000e-05 eta: 7:02:51 time: 0.9026 data_time: 0.0281 memory: 32703 grad_norm: 20.1864 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9296 loss: 0.9296 2022/07/30 23:35:41 - mmengine - INFO - Epoch(train) [48][1940/2505] lr: 5.0000e-05 eta: 7:02:32 time: 1.0936 data_time: 0.0309 memory: 32703 grad_norm: 19.2948 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1714 loss: 1.1714 2022/07/30 23:36:00 - mmengine - INFO - Epoch(train) [48][1960/2505] lr: 5.0000e-05 eta: 7:02:12 time: 0.9130 data_time: 0.0621 memory: 32703 grad_norm: 19.5194 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9661 loss: 0.9661 2022/07/30 23:36:20 - mmengine - INFO - Epoch(train) [48][1980/2505] lr: 5.0000e-05 eta: 7:01:52 time: 1.0390 data_time: 0.0969 memory: 32703 grad_norm: 19.4189 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0386 loss: 1.0386 2022/07/30 23:36:39 - mmengine - INFO - Epoch(train) [48][2000/2505] lr: 5.0000e-05 eta: 7:01:32 time: 0.9195 data_time: 0.1046 memory: 32703 grad_norm: 18.7266 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8874 loss: 0.8874 2022/07/30 23:36:59 - mmengine - INFO - Epoch(train) [48][2020/2505] lr: 5.0000e-05 eta: 7:01:12 time: 1.0387 data_time: 0.1327 memory: 32703 grad_norm: 19.8615 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9977 loss: 0.9977 2022/07/30 23:37:19 - mmengine - INFO - Epoch(train) [48][2040/2505] lr: 5.0000e-05 eta: 7:00:53 time: 0.9556 data_time: 0.1302 memory: 32703 grad_norm: 17.9448 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1037 loss: 1.1037 2022/07/30 23:37:39 - mmengine - INFO - Epoch(train) [48][2060/2505] lr: 5.0000e-05 eta: 7:00:33 time: 1.0015 data_time: 0.2165 memory: 32703 grad_norm: 18.8247 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0766 loss: 1.0766 2022/07/30 23:37:58 - mmengine - INFO - Epoch(train) [48][2080/2505] lr: 5.0000e-05 eta: 7:00:13 time: 0.9750 data_time: 0.1391 memory: 32703 grad_norm: 19.0482 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.7797 loss: 0.7797 2022/07/30 23:38:17 - mmengine - INFO - Epoch(train) [48][2100/2505] lr: 5.0000e-05 eta: 6:59:53 time: 0.9666 data_time: 0.1407 memory: 32703 grad_norm: 18.5597 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9456 loss: 0.9456 2022/07/30 23:38:38 - mmengine - INFO - Epoch(train) [48][2120/2505] lr: 5.0000e-05 eta: 6:59:33 time: 1.0473 data_time: 0.1099 memory: 32703 grad_norm: 18.4585 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0073 loss: 1.0073 2022/07/30 23:38:58 - mmengine - INFO - Epoch(train) [48][2140/2505] lr: 5.0000e-05 eta: 6:59:14 time: 0.9736 data_time: 0.1514 memory: 32703 grad_norm: 19.7821 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1043 loss: 1.1043 2022/07/30 23:39:18 - mmengine - INFO - Epoch(train) [48][2160/2505] lr: 5.0000e-05 eta: 6:58:54 time: 1.0137 data_time: 0.0745 memory: 32703 grad_norm: 18.7223 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9338 loss: 0.9338 2022/07/30 23:39:37 - mmengine - INFO - Epoch(train) [48][2180/2505] lr: 5.0000e-05 eta: 6:58:34 time: 0.9547 data_time: 0.0299 memory: 32703 grad_norm: 19.1930 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0531 loss: 1.0531 2022/07/30 23:39:57 - mmengine - INFO - Epoch(train) [48][2200/2505] lr: 5.0000e-05 eta: 6:58:14 time: 0.9915 data_time: 0.0275 memory: 32703 grad_norm: 18.6450 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0548 loss: 1.0548 2022/07/30 23:40:16 - mmengine - INFO - Epoch(train) [48][2220/2505] lr: 5.0000e-05 eta: 6:57:54 time: 0.9419 data_time: 0.0309 memory: 32703 grad_norm: 18.5187 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0783 loss: 1.0783 2022/07/30 23:40:37 - mmengine - INFO - Epoch(train) [48][2240/2505] lr: 5.0000e-05 eta: 6:57:35 time: 1.0424 data_time: 0.0294 memory: 32703 grad_norm: 19.1845 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1805 loss: 1.1805 2022/07/30 23:40:55 - mmengine - INFO - Epoch(train) [48][2260/2505] lr: 5.0000e-05 eta: 6:57:15 time: 0.9177 data_time: 0.0288 memory: 32703 grad_norm: 19.2594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9522 loss: 0.9522 2022/07/30 23:41:01 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 23:41:17 - mmengine - INFO - Epoch(train) [48][2280/2505] lr: 5.0000e-05 eta: 6:56:55 time: 1.0781 data_time: 0.0456 memory: 32703 grad_norm: 19.4821 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8096 loss: 0.8096 2022/07/30 23:41:34 - mmengine - INFO - Epoch(train) [48][2300/2505] lr: 5.0000e-05 eta: 6:56:35 time: 0.8555 data_time: 0.0366 memory: 32703 grad_norm: 21.0260 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1519 loss: 1.1519 2022/07/30 23:41:55 - mmengine - INFO - Epoch(train) [48][2320/2505] lr: 5.0000e-05 eta: 6:56:15 time: 1.0745 data_time: 0.0261 memory: 32703 grad_norm: 19.5402 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0548 loss: 1.0548 2022/07/30 23:42:13 - mmengine - INFO - Epoch(train) [48][2340/2505] lr: 5.0000e-05 eta: 6:55:55 time: 0.8706 data_time: 0.0281 memory: 32703 grad_norm: 19.2169 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9502 loss: 0.9502 2022/07/30 23:42:36 - mmengine - INFO - Epoch(train) [48][2360/2505] lr: 5.0000e-05 eta: 6:55:36 time: 1.1488 data_time: 0.0269 memory: 32703 grad_norm: 20.6918 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9865 loss: 0.9865 2022/07/30 23:42:53 - mmengine - INFO - Epoch(train) [48][2380/2505] lr: 5.0000e-05 eta: 6:55:15 time: 0.8396 data_time: 0.0273 memory: 32703 grad_norm: 19.4124 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1252 loss: 1.1252 2022/07/30 23:43:14 - mmengine - INFO - Epoch(train) [48][2400/2505] lr: 5.0000e-05 eta: 6:54:56 time: 1.0613 data_time: 0.0289 memory: 32703 grad_norm: 18.9705 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1670 loss: 1.1670 2022/07/30 23:43:31 - mmengine - INFO - Epoch(train) [48][2420/2505] lr: 5.0000e-05 eta: 6:54:36 time: 0.8746 data_time: 0.0285 memory: 32703 grad_norm: 18.9180 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9927 loss: 0.9927 2022/07/30 23:43:52 - mmengine - INFO - Epoch(train) [48][2440/2505] lr: 5.0000e-05 eta: 6:54:16 time: 1.0399 data_time: 0.0275 memory: 32703 grad_norm: 18.8200 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9458 loss: 0.9458 2022/07/30 23:44:10 - mmengine - INFO - Epoch(train) [48][2460/2505] lr: 5.0000e-05 eta: 6:53:56 time: 0.8693 data_time: 0.1088 memory: 32703 grad_norm: 19.2950 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0204 loss: 1.0204 2022/07/30 23:44:30 - mmengine - INFO - Epoch(train) [48][2480/2505] lr: 5.0000e-05 eta: 6:53:36 time: 1.0074 data_time: 0.1192 memory: 32703 grad_norm: 19.6121 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1022 loss: 1.1022 2022/07/30 23:44:48 - mmengine - INFO - Epoch(train) [48][2500/2505] lr: 5.0000e-05 eta: 6:53:16 time: 0.8974 data_time: 0.1582 memory: 32703 grad_norm: 18.9916 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9496 loss: 0.9496 2022/07/30 23:44:50 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/30 23:44:50 - mmengine - INFO - Epoch(train) [48][2505/2505] lr: 5.0000e-05 eta: 6:53:16 time: 0.7282 data_time: 0.1018 memory: 32703 grad_norm: 19.3349 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9311 loss: 0.9311 2022/07/30 23:44:51 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/07/30 23:44:58 - mmengine - INFO - Epoch(val) [48][20/2475] eta: 0:04:14 time: 0.1038 data_time: 0.0720 memory: 817 2022/07/30 23:44:59 - mmengine - INFO - Epoch(val) [48][40/2475] eta: 0:02:53 time: 0.0713 data_time: 0.0396 memory: 817 2022/07/30 23:45:01 - mmengine - INFO - Epoch(val) [48][60/2475] eta: 0:04:03 time: 0.1010 data_time: 0.0692 memory: 817 2022/07/30 23:45:03 - mmengine - INFO - Epoch(val) [48][80/2475] eta: 0:03:40 time: 0.0921 data_time: 0.0544 memory: 817 2022/07/30 23:45:05 - mmengine - INFO - Epoch(val) [48][100/2475] eta: 0:03:52 time: 0.0979 data_time: 0.0666 memory: 817 2022/07/30 23:45:07 - mmengine - INFO - Epoch(val) [48][120/2475] eta: 0:02:37 time: 0.0668 data_time: 0.0349 memory: 817 2022/07/30 23:45:08 - mmengine - INFO - Epoch(val) [48][140/2475] eta: 0:03:17 time: 0.0845 data_time: 0.0534 memory: 817 2022/07/30 23:45:10 - mmengine - INFO - Epoch(val) [48][160/2475] eta: 0:02:54 time: 0.0752 data_time: 0.0435 memory: 817 2022/07/30 23:45:12 - mmengine - INFO - Epoch(val) [48][180/2475] eta: 0:03:31 time: 0.0923 data_time: 0.0615 memory: 817 2022/07/30 23:45:13 - mmengine - INFO - Epoch(val) [48][200/2475] eta: 0:02:22 time: 0.0628 data_time: 0.0295 memory: 817 2022/07/30 23:45:15 - mmengine - INFO - Epoch(val) [48][220/2475] eta: 0:03:30 time: 0.0933 data_time: 0.0588 memory: 817 2022/07/30 23:45:16 - mmengine - INFO - Epoch(val) [48][240/2475] eta: 0:02:41 time: 0.0722 data_time: 0.0401 memory: 817 2022/07/30 23:45:18 - mmengine - INFO - Epoch(val) [48][260/2475] eta: 0:03:02 time: 0.0824 data_time: 0.0518 memory: 817 2022/07/30 23:45:19 - mmengine - INFO - Epoch(val) [48][280/2475] eta: 0:02:35 time: 0.0711 data_time: 0.0402 memory: 817 2022/07/30 23:45:21 - mmengine - INFO - Epoch(val) [48][300/2475] eta: 0:02:46 time: 0.0767 data_time: 0.0448 memory: 817 2022/07/30 23:45:23 - mmengine - INFO - Epoch(val) [48][320/2475] eta: 0:03:07 time: 0.0870 data_time: 0.0540 memory: 817 2022/07/30 23:45:24 - mmengine - INFO - Epoch(val) [48][340/2475] eta: 0:02:48 time: 0.0790 data_time: 0.0485 memory: 817 2022/07/30 23:45:26 - mmengine - INFO - Epoch(val) [48][360/2475] eta: 0:02:51 time: 0.0812 data_time: 0.0503 memory: 817 2022/07/30 23:45:27 - mmengine - INFO - Epoch(val) [48][380/2475] eta: 0:02:26 time: 0.0699 data_time: 0.0391 memory: 817 2022/07/30 23:45:29 - mmengine - INFO - Epoch(val) [48][400/2475] eta: 0:02:41 time: 0.0779 data_time: 0.0461 memory: 817 2022/07/30 23:45:30 - mmengine - INFO - Epoch(val) [48][420/2475] eta: 0:02:30 time: 0.0731 data_time: 0.0425 memory: 817 2022/07/30 23:45:32 - mmengine - INFO - Epoch(val) [48][440/2475] eta: 0:03:34 time: 0.1052 data_time: 0.0723 memory: 817 2022/07/30 23:45:33 - mmengine - INFO - Epoch(val) [48][460/2475] eta: 0:02:00 time: 0.0599 data_time: 0.0284 memory: 817 2022/07/30 23:45:35 - mmengine - INFO - Epoch(val) [48][480/2475] eta: 0:02:55 time: 0.0879 data_time: 0.0571 memory: 817 2022/07/30 23:45:37 - mmengine - INFO - Epoch(val) [48][500/2475] eta: 0:02:28 time: 0.0751 data_time: 0.0436 memory: 817 2022/07/30 23:45:38 - mmengine - INFO - Epoch(val) [48][520/2475] eta: 0:02:37 time: 0.0803 data_time: 0.0493 memory: 817 2022/07/30 23:45:40 - mmengine - INFO - Epoch(val) [48][540/2475] eta: 0:02:32 time: 0.0789 data_time: 0.0477 memory: 817 2022/07/30 23:45:41 - mmengine - INFO - Epoch(val) [48][560/2475] eta: 0:02:25 time: 0.0761 data_time: 0.0441 memory: 817 2022/07/30 23:45:43 - mmengine - INFO - Epoch(val) [48][580/2475] eta: 0:02:43 time: 0.0864 data_time: 0.0482 memory: 817 2022/07/30 23:45:45 - mmengine - INFO - Epoch(val) [48][600/2475] eta: 0:02:46 time: 0.0889 data_time: 0.0573 memory: 817 2022/07/30 23:45:47 - mmengine - INFO - Epoch(val) [48][620/2475] eta: 0:02:39 time: 0.0858 data_time: 0.0536 memory: 817 2022/07/30 23:45:48 - mmengine - INFO - Epoch(val) [48][640/2475] eta: 0:02:20 time: 0.0764 data_time: 0.0456 memory: 817 2022/07/30 23:45:50 - mmengine - INFO - Epoch(val) [48][660/2475] eta: 0:02:45 time: 0.0913 data_time: 0.0606 memory: 817 2022/07/30 23:45:51 - mmengine - INFO - Epoch(val) [48][680/2475] eta: 0:02:07 time: 0.0710 data_time: 0.0393 memory: 817 2022/07/30 23:45:53 - mmengine - INFO - Epoch(val) [48][700/2475] eta: 0:02:39 time: 0.0897 data_time: 0.0583 memory: 817 2022/07/30 23:45:55 - mmengine - INFO - Epoch(val) [48][720/2475] eta: 0:02:16 time: 0.0777 data_time: 0.0470 memory: 817 2022/07/30 23:45:57 - mmengine - INFO - Epoch(val) [48][740/2475] eta: 0:02:37 time: 0.0905 data_time: 0.0604 memory: 817 2022/07/30 23:45:58 - mmengine - INFO - Epoch(val) [48][760/2475] eta: 0:01:59 time: 0.0698 data_time: 0.0391 memory: 817 2022/07/30 23:46:00 - mmengine - INFO - Epoch(val) [48][780/2475] eta: 0:02:25 time: 0.0860 data_time: 0.0549 memory: 817 2022/07/30 23:46:01 - mmengine - INFO - Epoch(val) [48][800/2475] eta: 0:02:10 time: 0.0780 data_time: 0.0475 memory: 817 2022/07/30 23:46:03 - mmengine - INFO - Epoch(val) [48][820/2475] eta: 0:02:02 time: 0.0741 data_time: 0.0418 memory: 817 2022/07/30 23:46:05 - mmengine - INFO - Epoch(val) [48][840/2475] eta: 0:02:41 time: 0.0986 data_time: 0.0666 memory: 817 2022/07/30 23:46:06 - mmengine - INFO - Epoch(val) [48][860/2475] eta: 0:01:47 time: 0.0668 data_time: 0.0346 memory: 817 2022/07/30 23:46:08 - mmengine - INFO - Epoch(val) [48][880/2475] eta: 0:02:14 time: 0.0841 data_time: 0.0484 memory: 817 2022/07/30 23:46:09 - mmengine - INFO - Epoch(val) [48][900/2475] eta: 0:01:43 time: 0.0660 data_time: 0.0346 memory: 817 2022/07/30 23:46:11 - mmengine - INFO - Epoch(val) [48][920/2475] eta: 0:02:14 time: 0.0865 data_time: 0.0553 memory: 817 2022/07/30 23:46:13 - mmengine - INFO - Epoch(val) [48][940/2475] eta: 0:02:26 time: 0.0956 data_time: 0.0651 memory: 817 2022/07/30 23:46:15 - mmengine - INFO - Epoch(val) [48][960/2475] eta: 0:02:47 time: 0.1105 data_time: 0.0791 memory: 817 2022/07/30 23:46:16 - mmengine - INFO - Epoch(val) [48][980/2475] eta: 0:01:32 time: 0.0618 data_time: 0.0299 memory: 817 2022/07/30 23:46:18 - mmengine - INFO - Epoch(val) [48][1000/2475] eta: 0:02:00 time: 0.0818 data_time: 0.0514 memory: 817 2022/07/30 23:46:19 - mmengine - INFO - Epoch(val) [48][1020/2475] eta: 0:01:32 time: 0.0633 data_time: 0.0319 memory: 817 2022/07/30 23:46:21 - mmengine - INFO - Epoch(val) [48][1040/2475] eta: 0:02:06 time: 0.0883 data_time: 0.0573 memory: 817 2022/07/30 23:46:23 - mmengine - INFO - Epoch(val) [48][1060/2475] eta: 0:01:50 time: 0.0782 data_time: 0.0439 memory: 817 2022/07/30 23:46:24 - mmengine - INFO - Epoch(val) [48][1080/2475] eta: 0:01:45 time: 0.0759 data_time: 0.0443 memory: 817 2022/07/30 23:46:25 - mmengine - INFO - Epoch(val) [48][1100/2475] eta: 0:01:32 time: 0.0673 data_time: 0.0372 memory: 817 2022/07/30 23:46:27 - mmengine - INFO - Epoch(val) [48][1120/2475] eta: 0:02:01 time: 0.0897 data_time: 0.0585 memory: 817 2022/07/30 23:46:29 - mmengine - INFO - Epoch(val) [48][1140/2475] eta: 0:01:50 time: 0.0826 data_time: 0.0515 memory: 817 2022/07/30 23:46:31 - mmengine - INFO - Epoch(val) [48][1160/2475] eta: 0:01:57 time: 0.0891 data_time: 0.0551 memory: 817 2022/07/30 23:46:32 - mmengine - INFO - Epoch(val) [48][1180/2475] eta: 0:01:30 time: 0.0702 data_time: 0.0381 memory: 817 2022/07/30 23:46:34 - mmengine - INFO - Epoch(val) [48][1200/2475] eta: 0:01:59 time: 0.0937 data_time: 0.0624 memory: 817 2022/07/30 23:46:35 - mmengine - INFO - Epoch(val) [48][1220/2475] eta: 0:01:31 time: 0.0732 data_time: 0.0419 memory: 817 2022/07/30 23:46:37 - mmengine - INFO - Epoch(val) [48][1240/2475] eta: 0:01:53 time: 0.0917 data_time: 0.0595 memory: 817 2022/07/30 23:46:39 - mmengine - INFO - Epoch(val) [48][1260/2475] eta: 0:01:26 time: 0.0712 data_time: 0.0404 memory: 817 2022/07/30 23:46:41 - mmengine - INFO - Epoch(val) [48][1280/2475] eta: 0:01:54 time: 0.0962 data_time: 0.0653 memory: 817 2022/07/30 23:46:43 - mmengine - INFO - Epoch(val) [48][1300/2475] eta: 0:01:55 time: 0.0982 data_time: 0.0598 memory: 817 2022/07/30 23:46:44 - mmengine - INFO - Epoch(val) [48][1320/2475] eta: 0:01:35 time: 0.0823 data_time: 0.0497 memory: 817 2022/07/30 23:46:46 - mmengine - INFO - Epoch(val) [48][1340/2475] eta: 0:01:13 time: 0.0646 data_time: 0.0321 memory: 817 2022/07/30 23:46:47 - mmengine - INFO - Epoch(val) [48][1360/2475] eta: 0:01:20 time: 0.0721 data_time: 0.0401 memory: 817 2022/07/30 23:46:49 - mmengine - INFO - Epoch(val) [48][1380/2475] eta: 0:01:55 time: 0.1055 data_time: 0.0747 memory: 817 2022/07/30 23:46:50 - mmengine - INFO - Epoch(val) [48][1400/2475] eta: 0:01:11 time: 0.0667 data_time: 0.0360 memory: 817 2022/07/30 23:46:52 - mmengine - INFO - Epoch(val) [48][1420/2475] eta: 0:01:41 time: 0.0965 data_time: 0.0661 memory: 817 2022/07/30 23:46:54 - mmengine - INFO - Epoch(val) [48][1440/2475] eta: 0:01:04 time: 0.0620 data_time: 0.0310 memory: 817 2022/07/30 23:46:55 - mmengine - INFO - Epoch(val) [48][1460/2475] eta: 0:01:33 time: 0.0924 data_time: 0.0604 memory: 817 2022/07/30 23:46:57 - mmengine - INFO - Epoch(val) [48][1480/2475] eta: 0:01:22 time: 0.0824 data_time: 0.0510 memory: 817 2022/07/30 23:46:59 - mmengine - INFO - Epoch(val) [48][1500/2475] eta: 0:01:24 time: 0.0868 data_time: 0.0559 memory: 817 2022/07/30 23:47:00 - mmengine - INFO - Epoch(val) [48][1520/2475] eta: 0:01:05 time: 0.0690 data_time: 0.0373 memory: 817 2022/07/30 23:47:02 - mmengine - INFO - Epoch(val) [48][1540/2475] eta: 0:01:23 time: 0.0897 data_time: 0.0595 memory: 817 2022/07/30 23:47:04 - mmengine - INFO - Epoch(val) [48][1560/2475] eta: 0:01:10 time: 0.0771 data_time: 0.0309 memory: 817 2022/07/30 23:47:05 - mmengine - INFO - Epoch(val) [48][1580/2475] eta: 0:01:19 time: 0.0885 data_time: 0.0553 memory: 817 2022/07/30 23:47:07 - mmengine - INFO - Epoch(val) [48][1600/2475] eta: 0:01:04 time: 0.0740 data_time: 0.0406 memory: 817 2022/07/30 23:47:09 - mmengine - INFO - Epoch(val) [48][1620/2475] eta: 0:01:20 time: 0.0939 data_time: 0.0620 memory: 817 2022/07/30 23:47:10 - mmengine - INFO - Epoch(val) [48][1640/2475] eta: 0:00:53 time: 0.0636 data_time: 0.0290 memory: 817 2022/07/30 23:47:12 - mmengine - INFO - Epoch(val) [48][1660/2475] eta: 0:01:23 time: 0.1022 data_time: 0.0715 memory: 817 2022/07/30 23:47:14 - mmengine - INFO - Epoch(val) [48][1680/2475] eta: 0:00:58 time: 0.0740 data_time: 0.0430 memory: 817 2022/07/30 23:47:15 - mmengine - INFO - Epoch(val) [48][1700/2475] eta: 0:01:11 time: 0.0923 data_time: 0.0609 memory: 817 2022/07/30 23:47:17 - mmengine - INFO - Epoch(val) [48][1720/2475] eta: 0:00:52 time: 0.0695 data_time: 0.0379 memory: 817 2022/07/30 23:47:19 - mmengine - INFO - Epoch(val) [48][1740/2475] eta: 0:01:05 time: 0.0895 data_time: 0.0578 memory: 817 2022/07/30 23:47:20 - mmengine - INFO - Epoch(val) [48][1760/2475] eta: 0:00:53 time: 0.0754 data_time: 0.0429 memory: 817 2022/07/30 23:47:22 - mmengine - INFO - Epoch(val) [48][1780/2475] eta: 0:01:02 time: 0.0899 data_time: 0.0592 memory: 817 2022/07/30 23:47:23 - mmengine - INFO - Epoch(val) [48][1800/2475] eta: 0:00:51 time: 0.0761 data_time: 0.0305 memory: 817 2022/07/30 23:47:25 - mmengine - INFO - Epoch(val) [48][1820/2475] eta: 0:00:54 time: 0.0834 data_time: 0.0483 memory: 817 2022/07/30 23:47:26 - mmengine - INFO - Epoch(val) [48][1840/2475] eta: 0:00:38 time: 0.0614 data_time: 0.0284 memory: 817 2022/07/30 23:47:28 - mmengine - INFO - Epoch(val) [48][1860/2475] eta: 0:00:51 time: 0.0838 data_time: 0.0534 memory: 817 2022/07/30 23:47:30 - mmengine - INFO - Epoch(val) [48][1880/2475] eta: 0:00:46 time: 0.0776 data_time: 0.0466 memory: 817 2022/07/30 23:47:31 - mmengine - INFO - Epoch(val) [48][1900/2475] eta: 0:00:55 time: 0.0962 data_time: 0.0640 memory: 817 2022/07/30 23:47:33 - mmengine - INFO - Epoch(val) [48][1920/2475] eta: 0:00:39 time: 0.0713 data_time: 0.0406 memory: 817 2022/07/30 23:47:35 - mmengine - INFO - Epoch(val) [48][1940/2475] eta: 0:00:46 time: 0.0875 data_time: 0.0561 memory: 817 2022/07/30 23:47:36 - mmengine - INFO - Epoch(val) [48][1960/2475] eta: 0:00:38 time: 0.0744 data_time: 0.0437 memory: 817 2022/07/30 23:47:38 - mmengine - INFO - Epoch(val) [48][1980/2475] eta: 0:00:36 time: 0.0747 data_time: 0.0431 memory: 817 2022/07/30 23:47:39 - mmengine - INFO - Epoch(val) [48][2000/2475] eta: 0:00:35 time: 0.0749 data_time: 0.0433 memory: 817 2022/07/30 23:47:41 - mmengine - INFO - Epoch(val) [48][2020/2475] eta: 0:00:39 time: 0.0873 data_time: 0.0568 memory: 817 2022/07/30 23:47:43 - mmengine - INFO - Epoch(val) [48][2040/2475] eta: 0:00:37 time: 0.0856 data_time: 0.0524 memory: 817 2022/07/30 23:47:44 - mmengine - INFO - Epoch(val) [48][2060/2475] eta: 0:00:32 time: 0.0773 data_time: 0.0468 memory: 817 2022/07/30 23:47:46 - mmengine - INFO - Epoch(val) [48][2080/2475] eta: 0:00:28 time: 0.0731 data_time: 0.0427 memory: 817 2022/07/30 23:47:47 - mmengine - INFO - Epoch(val) [48][2100/2475] eta: 0:00:30 time: 0.0817 data_time: 0.0507 memory: 817 2022/07/30 23:47:49 - mmengine - INFO - Epoch(val) [48][2120/2475] eta: 0:00:28 time: 0.0793 data_time: 0.0481 memory: 817 2022/07/30 23:47:51 - mmengine - INFO - Epoch(val) [48][2140/2475] eta: 0:00:28 time: 0.0840 data_time: 0.0532 memory: 817 2022/07/30 23:47:52 - mmengine - INFO - Epoch(val) [48][2160/2475] eta: 0:00:25 time: 0.0794 data_time: 0.0484 memory: 817 2022/07/30 23:47:54 - mmengine - INFO - Epoch(val) [48][2180/2475] eta: 0:00:24 time: 0.0847 data_time: 0.0533 memory: 817 2022/07/30 23:47:56 - mmengine - INFO - Epoch(val) [48][2200/2475] eta: 0:00:25 time: 0.0917 data_time: 0.0601 memory: 817 2022/07/30 23:47:57 - mmengine - INFO - Epoch(val) [48][2220/2475] eta: 0:00:20 time: 0.0812 data_time: 0.0502 memory: 817 2022/07/30 23:47:59 - mmengine - INFO - Epoch(val) [48][2240/2475] eta: 0:00:17 time: 0.0738 data_time: 0.0432 memory: 817 2022/07/30 23:48:00 - mmengine - INFO - Epoch(val) [48][2260/2475] eta: 0:00:18 time: 0.0855 data_time: 0.0546 memory: 817 2022/07/30 23:48:02 - mmengine - INFO - Epoch(val) [48][2280/2475] eta: 0:00:13 time: 0.0687 data_time: 0.0371 memory: 817 2022/07/30 23:48:04 - mmengine - INFO - Epoch(val) [48][2300/2475] eta: 0:00:16 time: 0.0917 data_time: 0.0517 memory: 817 2022/07/30 23:48:05 - mmengine - INFO - Epoch(val) [48][2320/2475] eta: 0:00:10 time: 0.0671 data_time: 0.0351 memory: 817 2022/07/30 23:48:07 - mmengine - INFO - Epoch(val) [48][2340/2475] eta: 0:00:10 time: 0.0808 data_time: 0.0486 memory: 817 2022/07/30 23:48:08 - mmengine - INFO - Epoch(val) [48][2360/2475] eta: 0:00:08 time: 0.0738 data_time: 0.0398 memory: 817 2022/07/30 23:48:10 - mmengine - INFO - Epoch(val) [48][2380/2475] eta: 0:00:08 time: 0.0916 data_time: 0.0605 memory: 817 2022/07/30 23:48:11 - mmengine - INFO - Epoch(val) [48][2400/2475] eta: 0:00:03 time: 0.0493 data_time: 0.0182 memory: 817 2022/07/30 23:48:12 - mmengine - INFO - Epoch(val) [48][2420/2475] eta: 0:00:01 time: 0.0328 data_time: 0.0036 memory: 817 2022/07/30 23:48:12 - mmengine - INFO - Epoch(val) [48][2440/2475] eta: 0:00:01 time: 0.0306 data_time: 0.0016 memory: 817 2022/07/30 23:48:13 - mmengine - INFO - Epoch(val) [48][2460/2475] eta: 0:00:00 time: 0.0303 data_time: 0.0013 memory: 817 2022/07/30 23:48:15 - mmengine - INFO - Epoch(val) [48][2475/2475] acc/top1: 0.7594 acc/top5: 0.9209 acc/mean1: 0.7594 2022/07/30 23:48:41 - mmengine - INFO - Epoch(train) [49][20/2505] lr: 5.0000e-06 eta: 6:52:52 time: 1.3210 data_time: 0.6954 memory: 32703 grad_norm: 19.5525 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9096 loss: 0.9096 2022/07/30 23:49:00 - mmengine - INFO - Epoch(train) [49][40/2505] lr: 5.0000e-06 eta: 6:52:31 time: 0.9091 data_time: 0.2970 memory: 32703 grad_norm: 19.3793 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1104 loss: 1.1104 2022/07/30 23:49:21 - mmengine - INFO - Epoch(train) [49][60/2505] lr: 5.0000e-06 eta: 6:52:12 time: 1.0873 data_time: 0.4396 memory: 32703 grad_norm: 20.4335 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0842 loss: 1.0842 2022/07/30 23:49:40 - mmengine - INFO - Epoch(train) [49][80/2505] lr: 5.0000e-06 eta: 6:51:52 time: 0.9226 data_time: 0.2904 memory: 32703 grad_norm: 19.8714 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1006 loss: 1.1006 2022/07/30 23:50:01 - mmengine - INFO - Epoch(train) [49][100/2505] lr: 5.0000e-06 eta: 6:51:32 time: 1.0333 data_time: 0.3681 memory: 32703 grad_norm: 19.0768 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0645 loss: 1.0645 2022/07/30 23:50:19 - mmengine - INFO - Epoch(train) [49][120/2505] lr: 5.0000e-06 eta: 6:51:12 time: 0.9316 data_time: 0.2491 memory: 32703 grad_norm: 18.9841 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9754 loss: 0.9754 2022/07/30 23:50:41 - mmengine - INFO - Epoch(train) [49][140/2505] lr: 5.0000e-06 eta: 6:50:53 time: 1.0740 data_time: 0.2683 memory: 32703 grad_norm: 18.6600 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9006 loss: 0.9006 2022/07/30 23:50:59 - mmengine - INFO - Epoch(train) [49][160/2505] lr: 5.0000e-06 eta: 6:50:33 time: 0.9031 data_time: 0.1458 memory: 32703 grad_norm: 20.3226 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8356 loss: 0.8356 2022/07/30 23:51:20 - mmengine - INFO - Epoch(train) [49][180/2505] lr: 5.0000e-06 eta: 6:50:13 time: 1.0577 data_time: 0.2456 memory: 32703 grad_norm: 19.9467 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0641 loss: 1.0641 2022/07/30 23:51:38 - mmengine - INFO - Epoch(train) [49][200/2505] lr: 5.0000e-06 eta: 6:49:53 time: 0.8943 data_time: 0.1490 memory: 32703 grad_norm: 19.7089 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0839 loss: 1.0839 2022/07/30 23:51:59 - mmengine - INFO - Epoch(train) [49][220/2505] lr: 5.0000e-06 eta: 6:49:34 time: 1.0666 data_time: 0.2225 memory: 32703 grad_norm: 19.5965 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8943 loss: 0.8943 2022/07/30 23:52:17 - mmengine - INFO - Epoch(train) [49][240/2505] lr: 5.0000e-06 eta: 6:49:13 time: 0.9127 data_time: 0.2104 memory: 32703 grad_norm: 19.1518 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0295 loss: 1.0295 2022/07/30 23:52:38 - mmengine - INFO - Epoch(train) [49][260/2505] lr: 5.0000e-06 eta: 6:48:54 time: 1.0200 data_time: 0.1709 memory: 32703 grad_norm: 19.1287 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0769 loss: 1.0769 2022/07/30 23:52:57 - mmengine - INFO - Epoch(train) [49][280/2505] lr: 5.0000e-06 eta: 6:48:34 time: 0.9619 data_time: 0.1064 memory: 32703 grad_norm: 19.4758 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0956 loss: 1.0956 2022/07/30 23:53:17 - mmengine - INFO - Epoch(train) [49][300/2505] lr: 5.0000e-06 eta: 6:48:14 time: 1.0079 data_time: 0.0475 memory: 32703 grad_norm: 19.2044 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0242 loss: 1.0242 2022/07/30 23:53:37 - mmengine - INFO - Epoch(train) [49][320/2505] lr: 5.0000e-06 eta: 6:47:54 time: 1.0030 data_time: 0.0292 memory: 32703 grad_norm: 19.7660 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0207 loss: 1.0207 2022/07/30 23:53:57 - mmengine - INFO - Epoch(train) [49][340/2505] lr: 5.0000e-06 eta: 6:47:35 time: 0.9884 data_time: 0.0300 memory: 32703 grad_norm: 20.3265 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1578 loss: 1.1578 2022/07/30 23:54:17 - mmengine - INFO - Epoch(train) [49][360/2505] lr: 5.0000e-06 eta: 6:47:15 time: 0.9747 data_time: 0.0267 memory: 32703 grad_norm: 18.8755 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0076 loss: 1.0076 2022/07/30 23:54:37 - mmengine - INFO - Epoch(train) [49][380/2505] lr: 5.0000e-06 eta: 6:46:55 time: 1.0196 data_time: 0.0295 memory: 32703 grad_norm: 19.2855 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0638 loss: 1.0638 2022/07/30 23:54:55 - mmengine - INFO - Epoch(train) [49][400/2505] lr: 5.0000e-06 eta: 6:46:35 time: 0.9107 data_time: 0.0267 memory: 32703 grad_norm: 18.0912 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9572 loss: 0.9572 2022/07/30 23:55:17 - mmengine - INFO - Epoch(train) [49][420/2505] lr: 5.0000e-06 eta: 6:46:16 time: 1.1069 data_time: 0.0278 memory: 32703 grad_norm: 19.1354 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.9042 loss: 0.9042 2022/07/30 23:55:35 - mmengine - INFO - Epoch(train) [49][440/2505] lr: 5.0000e-06 eta: 6:45:55 time: 0.8703 data_time: 0.0278 memory: 32703 grad_norm: 19.4035 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9322 loss: 0.9322 2022/07/30 23:55:56 - mmengine - INFO - Epoch(train) [49][460/2505] lr: 5.0000e-06 eta: 6:45:36 time: 1.0598 data_time: 0.0290 memory: 32703 grad_norm: 18.9984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0536 loss: 1.0536 2022/07/30 23:56:14 - mmengine - INFO - Epoch(train) [49][480/2505] lr: 5.0000e-06 eta: 6:45:16 time: 0.9059 data_time: 0.0271 memory: 32703 grad_norm: 18.7624 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2604 loss: 1.2604 2022/07/30 23:56:36 - mmengine - INFO - Epoch(train) [49][500/2505] lr: 5.0000e-06 eta: 6:44:56 time: 1.1123 data_time: 0.0300 memory: 32703 grad_norm: 18.8328 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9892 loss: 0.9892 2022/07/30 23:56:54 - mmengine - INFO - Epoch(train) [49][520/2505] lr: 5.0000e-06 eta: 6:44:36 time: 0.8784 data_time: 0.0278 memory: 32703 grad_norm: 18.5475 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0948 loss: 1.0948 2022/07/30 23:57:14 - mmengine - INFO - Epoch(train) [49][540/2505] lr: 5.0000e-06 eta: 6:44:17 time: 1.0269 data_time: 0.0277 memory: 32703 grad_norm: 18.8523 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9461 loss: 0.9461 2022/07/30 23:57:32 - mmengine - INFO - Epoch(train) [49][560/2505] lr: 5.0000e-06 eta: 6:43:56 time: 0.8892 data_time: 0.0268 memory: 32703 grad_norm: 18.7230 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9969 loss: 0.9969 2022/07/30 23:57:54 - mmengine - INFO - Epoch(train) [49][580/2505] lr: 5.0000e-06 eta: 6:43:37 time: 1.0667 data_time: 0.0309 memory: 32703 grad_norm: 18.7953 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9453 loss: 0.9453 2022/07/30 23:58:11 - mmengine - INFO - Epoch(train) [49][600/2505] lr: 5.0000e-06 eta: 6:43:17 time: 0.8748 data_time: 0.0288 memory: 32703 grad_norm: 18.3301 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9061 loss: 0.9061 2022/07/30 23:58:33 - mmengine - INFO - Epoch(train) [49][620/2505] lr: 5.0000e-06 eta: 6:42:57 time: 1.0644 data_time: 0.0321 memory: 32703 grad_norm: 18.9460 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8993 loss: 0.8993 2022/07/30 23:58:51 - mmengine - INFO - Epoch(train) [49][640/2505] lr: 5.0000e-06 eta: 6:42:37 time: 0.9166 data_time: 0.0316 memory: 32703 grad_norm: 19.3699 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9519 loss: 0.9519 2022/07/30 23:59:11 - mmengine - INFO - Epoch(train) [49][660/2505] lr: 5.0000e-06 eta: 6:42:17 time: 1.0181 data_time: 0.0276 memory: 32703 grad_norm: 18.8720 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9562 loss: 0.9562 2022/07/30 23:59:30 - mmengine - INFO - Epoch(train) [49][680/2505] lr: 5.0000e-06 eta: 6:41:57 time: 0.9342 data_time: 0.0294 memory: 32703 grad_norm: 18.6578 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8698 loss: 0.8698 2022/07/30 23:59:50 - mmengine - INFO - Epoch(train) [49][700/2505] lr: 5.0000e-06 eta: 6:41:38 time: 1.0068 data_time: 0.0274 memory: 32703 grad_norm: 18.7055 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0456 loss: 1.0456 2022/07/31 00:00:09 - mmengine - INFO - Epoch(train) [49][720/2505] lr: 5.0000e-06 eta: 6:41:18 time: 0.9724 data_time: 0.0343 memory: 32703 grad_norm: 18.9327 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0550 loss: 1.0550 2022/07/31 00:00:30 - mmengine - INFO - Epoch(train) [49][740/2505] lr: 5.0000e-06 eta: 6:40:58 time: 1.0401 data_time: 0.0295 memory: 32703 grad_norm: 18.4721 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9440 loss: 0.9440 2022/07/31 00:00:49 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 00:00:49 - mmengine - INFO - Epoch(train) [49][760/2505] lr: 5.0000e-06 eta: 6:40:38 time: 0.9514 data_time: 0.0278 memory: 32703 grad_norm: 19.1974 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9694 loss: 0.9694 2022/07/31 00:01:11 - mmengine - INFO - Epoch(train) [49][780/2505] lr: 5.0000e-06 eta: 6:40:19 time: 1.0921 data_time: 0.0271 memory: 32703 grad_norm: 19.0209 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8281 loss: 0.8281 2022/07/31 00:01:30 - mmengine - INFO - Epoch(train) [49][800/2505] lr: 5.0000e-06 eta: 6:39:59 time: 0.9331 data_time: 0.0263 memory: 32703 grad_norm: 19.0360 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.0350 loss: 1.0350 2022/07/31 00:01:51 - mmengine - INFO - Epoch(train) [49][820/2505] lr: 5.0000e-06 eta: 6:39:39 time: 1.0432 data_time: 0.0281 memory: 32703 grad_norm: 20.1992 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.0692 loss: 1.0692 2022/07/31 00:02:10 - mmengine - INFO - Epoch(train) [49][840/2505] lr: 5.0000e-06 eta: 6:39:19 time: 0.9561 data_time: 0.0271 memory: 32703 grad_norm: 18.4982 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8747 loss: 0.8747 2022/07/31 00:02:30 - mmengine - INFO - Epoch(train) [49][860/2505] lr: 5.0000e-06 eta: 6:39:00 time: 1.0128 data_time: 0.0290 memory: 32703 grad_norm: 18.6884 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8515 loss: 0.8515 2022/07/31 00:02:49 - mmengine - INFO - Epoch(train) [49][880/2505] lr: 5.0000e-06 eta: 6:38:40 time: 0.9427 data_time: 0.0312 memory: 32703 grad_norm: 19.1863 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0627 loss: 1.0627 2022/07/31 00:03:09 - mmengine - INFO - Epoch(train) [49][900/2505] lr: 5.0000e-06 eta: 6:38:20 time: 1.0225 data_time: 0.0304 memory: 32703 grad_norm: 18.7070 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1147 loss: 1.1147 2022/07/31 00:03:28 - mmengine - INFO - Epoch(train) [49][920/2505] lr: 5.0000e-06 eta: 6:38:00 time: 0.9351 data_time: 0.0297 memory: 32703 grad_norm: 19.6947 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7963 loss: 0.7963 2022/07/31 00:03:48 - mmengine - INFO - Epoch(train) [49][940/2505] lr: 5.0000e-06 eta: 6:37:40 time: 0.9893 data_time: 0.0268 memory: 32703 grad_norm: 19.5307 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8754 loss: 0.8754 2022/07/31 00:04:06 - mmengine - INFO - Epoch(train) [49][960/2505] lr: 5.0000e-06 eta: 6:37:20 time: 0.9201 data_time: 0.0288 memory: 32703 grad_norm: 18.9923 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 0.9660 loss: 0.9660 2022/07/31 00:04:28 - mmengine - INFO - Epoch(train) [49][980/2505] lr: 5.0000e-06 eta: 6:37:01 time: 1.0733 data_time: 0.0264 memory: 32703 grad_norm: 18.8960 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1398 loss: 1.1398 2022/07/31 00:04:46 - mmengine - INFO - Epoch(train) [49][1000/2505] lr: 5.0000e-06 eta: 6:36:40 time: 0.9069 data_time: 0.0272 memory: 32703 grad_norm: 19.0659 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2263 loss: 1.2263 2022/07/31 00:05:08 - mmengine - INFO - Epoch(train) [49][1020/2505] lr: 5.0000e-06 eta: 6:36:21 time: 1.0852 data_time: 0.0283 memory: 32703 grad_norm: 18.7327 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 0.9290 loss: 0.9290 2022/07/31 00:05:25 - mmengine - INFO - Epoch(train) [49][1040/2505] lr: 5.0000e-06 eta: 6:36:01 time: 0.8629 data_time: 0.0255 memory: 32703 grad_norm: 18.9994 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0381 loss: 1.0381 2022/07/31 00:05:46 - mmengine - INFO - Epoch(train) [49][1060/2505] lr: 5.0000e-06 eta: 6:35:41 time: 1.0659 data_time: 0.0282 memory: 32703 grad_norm: 18.7292 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0246 loss: 1.0246 2022/07/31 00:06:05 - mmengine - INFO - Epoch(train) [49][1080/2505] lr: 5.0000e-06 eta: 6:35:21 time: 0.9500 data_time: 0.0258 memory: 32703 grad_norm: 19.3545 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0329 loss: 1.0329 2022/07/31 00:06:26 - mmengine - INFO - Epoch(train) [49][1100/2505] lr: 5.0000e-06 eta: 6:35:02 time: 1.0429 data_time: 0.0291 memory: 32703 grad_norm: 19.7994 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8570 loss: 0.8570 2022/07/31 00:06:45 - mmengine - INFO - Epoch(train) [49][1120/2505] lr: 5.0000e-06 eta: 6:34:42 time: 0.9222 data_time: 0.0291 memory: 32703 grad_norm: 18.9880 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9589 loss: 0.9589 2022/07/31 00:07:06 - mmengine - INFO - Epoch(train) [49][1140/2505] lr: 5.0000e-06 eta: 6:34:22 time: 1.0793 data_time: 0.0276 memory: 32703 grad_norm: 18.7439 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9690 loss: 0.9690 2022/07/31 00:07:23 - mmengine - INFO - Epoch(train) [49][1160/2505] lr: 5.0000e-06 eta: 6:34:02 time: 0.8561 data_time: 0.0261 memory: 32703 grad_norm: 19.7707 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9349 loss: 0.9349 2022/07/31 00:07:45 - mmengine - INFO - Epoch(train) [49][1180/2505] lr: 5.0000e-06 eta: 6:33:42 time: 1.0869 data_time: 0.0266 memory: 32703 grad_norm: 19.3986 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9980 loss: 0.9980 2022/07/31 00:08:03 - mmengine - INFO - Epoch(train) [49][1200/2505] lr: 5.0000e-06 eta: 6:33:22 time: 0.8792 data_time: 0.0260 memory: 32703 grad_norm: 19.0631 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8618 loss: 0.8618 2022/07/31 00:08:24 - mmengine - INFO - Epoch(train) [49][1220/2505] lr: 5.0000e-06 eta: 6:33:03 time: 1.0618 data_time: 0.0273 memory: 32703 grad_norm: 18.5901 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9868 loss: 0.9868 2022/07/31 00:08:42 - mmengine - INFO - Epoch(train) [49][1240/2505] lr: 5.0000e-06 eta: 6:32:43 time: 0.9154 data_time: 0.0368 memory: 32703 grad_norm: 20.0599 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.9804 loss: 0.9804 2022/07/31 00:09:03 - mmengine - INFO - Epoch(train) [49][1260/2505] lr: 5.0000e-06 eta: 6:32:23 time: 1.0438 data_time: 0.0333 memory: 32703 grad_norm: 18.6814 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9556 loss: 0.9556 2022/07/31 00:09:21 - mmengine - INFO - Epoch(train) [49][1280/2505] lr: 5.0000e-06 eta: 6:32:03 time: 0.9053 data_time: 0.0319 memory: 32703 grad_norm: 18.6580 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9909 loss: 0.9909 2022/07/31 00:09:43 - mmengine - INFO - Epoch(train) [49][1300/2505] lr: 5.0000e-06 eta: 6:31:43 time: 1.0709 data_time: 0.0247 memory: 32703 grad_norm: 19.0935 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8656 loss: 0.8656 2022/07/31 00:10:01 - mmengine - INFO - Epoch(train) [49][1320/2505] lr: 5.0000e-06 eta: 6:31:23 time: 0.9098 data_time: 0.0307 memory: 32703 grad_norm: 19.3744 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9139 loss: 0.9139 2022/07/31 00:10:22 - mmengine - INFO - Epoch(train) [49][1340/2505] lr: 5.0000e-06 eta: 6:31:04 time: 1.0771 data_time: 0.0287 memory: 32703 grad_norm: 19.4932 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9372 loss: 0.9372 2022/07/31 00:10:41 - mmengine - INFO - Epoch(train) [49][1360/2505] lr: 5.0000e-06 eta: 6:30:44 time: 0.9280 data_time: 0.0310 memory: 32703 grad_norm: 19.7870 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 0.9752 loss: 0.9752 2022/07/31 00:11:01 - mmengine - INFO - Epoch(train) [49][1380/2505] lr: 5.0000e-06 eta: 6:30:24 time: 0.9987 data_time: 0.0506 memory: 32703 grad_norm: 18.3516 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8736 loss: 0.8736 2022/07/31 00:11:20 - mmengine - INFO - Epoch(train) [49][1400/2505] lr: 5.0000e-06 eta: 6:30:04 time: 0.9633 data_time: 0.0306 memory: 32703 grad_norm: 19.1238 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0170 loss: 1.0170 2022/07/31 00:11:40 - mmengine - INFO - Epoch(train) [49][1420/2505] lr: 5.0000e-06 eta: 6:29:45 time: 1.0085 data_time: 0.0315 memory: 32703 grad_norm: 19.0167 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8523 loss: 0.8523 2022/07/31 00:12:00 - mmengine - INFO - Epoch(train) [49][1440/2505] lr: 5.0000e-06 eta: 6:29:25 time: 0.9716 data_time: 0.0281 memory: 32703 grad_norm: 19.2273 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9309 loss: 0.9309 2022/07/31 00:12:19 - mmengine - INFO - Epoch(train) [49][1460/2505] lr: 5.0000e-06 eta: 6:29:05 time: 0.9713 data_time: 0.0300 memory: 32703 grad_norm: 18.9156 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9047 loss: 0.9047 2022/07/31 00:12:39 - mmengine - INFO - Epoch(train) [49][1480/2505] lr: 5.0000e-06 eta: 6:28:45 time: 0.9847 data_time: 0.0317 memory: 32703 grad_norm: 18.7627 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9776 loss: 0.9776 2022/07/31 00:12:59 - mmengine - INFO - Epoch(train) [49][1500/2505] lr: 5.0000e-06 eta: 6:28:25 time: 1.0208 data_time: 0.0271 memory: 32703 grad_norm: 19.2404 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9897 loss: 0.9897 2022/07/31 00:13:18 - mmengine - INFO - Epoch(train) [49][1520/2505] lr: 5.0000e-06 eta: 6:28:05 time: 0.9427 data_time: 0.0317 memory: 32703 grad_norm: 19.5757 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9877 loss: 0.9877 2022/07/31 00:13:40 - mmengine - INFO - Epoch(train) [49][1540/2505] lr: 5.0000e-06 eta: 6:27:46 time: 1.0715 data_time: 0.0312 memory: 32703 grad_norm: 20.3035 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0654 loss: 1.0654 2022/07/31 00:13:58 - mmengine - INFO - Epoch(train) [49][1560/2505] lr: 5.0000e-06 eta: 6:27:26 time: 0.9075 data_time: 0.0338 memory: 32703 grad_norm: 19.0105 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0712 loss: 1.0712 2022/07/31 00:14:19 - mmengine - INFO - Epoch(train) [49][1580/2505] lr: 5.0000e-06 eta: 6:27:06 time: 1.0736 data_time: 0.0275 memory: 32703 grad_norm: 19.1797 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8548 loss: 0.8548 2022/07/31 00:14:38 - mmengine - INFO - Epoch(train) [49][1600/2505] lr: 5.0000e-06 eta: 6:26:46 time: 0.9190 data_time: 0.0324 memory: 32703 grad_norm: 19.2031 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 0.9622 loss: 0.9622 2022/07/31 00:14:59 - mmengine - INFO - Epoch(train) [49][1620/2505] lr: 5.0000e-06 eta: 6:26:27 time: 1.0752 data_time: 0.0300 memory: 32703 grad_norm: 19.3483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9987 loss: 0.9987 2022/07/31 00:15:18 - mmengine - INFO - Epoch(train) [49][1640/2505] lr: 5.0000e-06 eta: 6:26:07 time: 0.9541 data_time: 0.0291 memory: 32703 grad_norm: 18.9585 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2166 loss: 1.2166 2022/07/31 00:15:39 - mmengine - INFO - Epoch(train) [49][1660/2505] lr: 5.0000e-06 eta: 6:25:47 time: 1.0506 data_time: 0.0259 memory: 32703 grad_norm: 19.4416 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9533 loss: 0.9533 2022/07/31 00:15:57 - mmengine - INFO - Epoch(train) [49][1680/2505] lr: 5.0000e-06 eta: 6:25:27 time: 0.8652 data_time: 0.0319 memory: 32703 grad_norm: 18.5106 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8397 loss: 0.8397 2022/07/31 00:16:18 - mmengine - INFO - Epoch(train) [49][1700/2505] lr: 5.0000e-06 eta: 6:25:07 time: 1.0507 data_time: 0.0278 memory: 32703 grad_norm: 19.1048 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9363 loss: 0.9363 2022/07/31 00:16:35 - mmengine - INFO - Epoch(train) [49][1720/2505] lr: 5.0000e-06 eta: 6:24:47 time: 0.8486 data_time: 0.0268 memory: 32703 grad_norm: 19.3079 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8802 loss: 0.8802 2022/07/31 00:16:55 - mmengine - INFO - Epoch(train) [49][1740/2505] lr: 5.0000e-06 eta: 6:24:28 time: 1.0406 data_time: 0.0259 memory: 32703 grad_norm: 18.6316 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9748 loss: 0.9748 2022/07/31 00:17:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 00:17:14 - mmengine - INFO - Epoch(train) [49][1760/2505] lr: 5.0000e-06 eta: 6:24:08 time: 0.9410 data_time: 0.1221 memory: 32703 grad_norm: 19.0735 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1952 loss: 1.1952 2022/07/31 00:17:34 - mmengine - INFO - Epoch(train) [49][1780/2505] lr: 5.0000e-06 eta: 6:23:48 time: 0.9792 data_time: 0.2070 memory: 32703 grad_norm: 19.1528 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8509 loss: 0.8509 2022/07/31 00:17:54 - mmengine - INFO - Epoch(train) [49][1800/2505] lr: 5.0000e-06 eta: 6:23:28 time: 1.0007 data_time: 0.2117 memory: 32703 grad_norm: 19.8447 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8780 loss: 0.8780 2022/07/31 00:18:14 - mmengine - INFO - Epoch(train) [49][1820/2505] lr: 5.0000e-06 eta: 6:23:08 time: 1.0029 data_time: 0.1741 memory: 32703 grad_norm: 18.7751 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9300 loss: 0.9300 2022/07/31 00:18:34 - mmengine - INFO - Epoch(train) [49][1840/2505] lr: 5.0000e-06 eta: 6:22:49 time: 1.0140 data_time: 0.3168 memory: 32703 grad_norm: 18.3269 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9861 loss: 0.9861 2022/07/31 00:18:53 - mmengine - INFO - Epoch(train) [49][1860/2505] lr: 5.0000e-06 eta: 6:22:29 time: 0.9445 data_time: 0.1816 memory: 32703 grad_norm: 18.8786 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9702 loss: 0.9702 2022/07/31 00:19:13 - mmengine - INFO - Epoch(train) [49][1880/2505] lr: 5.0000e-06 eta: 6:22:09 time: 0.9942 data_time: 0.2492 memory: 32703 grad_norm: 19.2056 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0355 loss: 1.0355 2022/07/31 00:19:32 - mmengine - INFO - Epoch(train) [49][1900/2505] lr: 5.0000e-06 eta: 6:21:49 time: 0.9460 data_time: 0.2025 memory: 32703 grad_norm: 18.6913 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0269 loss: 1.0269 2022/07/31 00:19:51 - mmengine - INFO - Epoch(train) [49][1920/2505] lr: 5.0000e-06 eta: 6:21:29 time: 0.9596 data_time: 0.2648 memory: 32703 grad_norm: 18.9088 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8717 loss: 0.8717 2022/07/31 00:20:10 - mmengine - INFO - Epoch(train) [49][1940/2505] lr: 5.0000e-06 eta: 6:21:09 time: 0.9597 data_time: 0.2838 memory: 32703 grad_norm: 18.1883 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9703 loss: 0.9703 2022/07/31 00:20:31 - mmengine - INFO - Epoch(train) [49][1960/2505] lr: 5.0000e-06 eta: 6:20:49 time: 1.0130 data_time: 0.4207 memory: 32703 grad_norm: 19.8552 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9610 loss: 0.9610 2022/07/31 00:20:49 - mmengine - INFO - Epoch(train) [49][1980/2505] lr: 5.0000e-06 eta: 6:20:29 time: 0.9209 data_time: 0.2199 memory: 32703 grad_norm: 19.6988 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7725 loss: 0.7725 2022/07/31 00:21:10 - mmengine - INFO - Epoch(train) [49][2000/2505] lr: 5.0000e-06 eta: 6:20:10 time: 1.0345 data_time: 0.3549 memory: 32703 grad_norm: 19.3790 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8391 loss: 0.8391 2022/07/31 00:21:29 - mmengine - INFO - Epoch(train) [49][2020/2505] lr: 5.0000e-06 eta: 6:19:50 time: 0.9579 data_time: 0.2594 memory: 32703 grad_norm: 18.0307 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0513 loss: 1.0513 2022/07/31 00:21:49 - mmengine - INFO - Epoch(train) [49][2040/2505] lr: 5.0000e-06 eta: 6:19:30 time: 1.0155 data_time: 0.3282 memory: 32703 grad_norm: 19.9208 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9083 loss: 0.9083 2022/07/31 00:22:09 - mmengine - INFO - Epoch(train) [49][2060/2505] lr: 5.0000e-06 eta: 6:19:10 time: 0.9642 data_time: 0.3185 memory: 32703 grad_norm: 19.0280 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9803 loss: 0.9803 2022/07/31 00:22:28 - mmengine - INFO - Epoch(train) [49][2080/2505] lr: 5.0000e-06 eta: 6:18:50 time: 0.9577 data_time: 0.1164 memory: 32703 grad_norm: 18.7784 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0676 loss: 1.0676 2022/07/31 00:22:49 - mmengine - INFO - Epoch(train) [49][2100/2505] lr: 5.0000e-06 eta: 6:18:31 time: 1.0539 data_time: 0.0255 memory: 32703 grad_norm: 20.2319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0752 loss: 1.0752 2022/07/31 00:23:07 - mmengine - INFO - Epoch(train) [49][2120/2505] lr: 5.0000e-06 eta: 6:18:11 time: 0.9042 data_time: 0.0273 memory: 32703 grad_norm: 18.5624 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0317 loss: 1.0317 2022/07/31 00:23:29 - mmengine - INFO - Epoch(train) [49][2140/2505] lr: 5.0000e-06 eta: 6:17:51 time: 1.0856 data_time: 0.0275 memory: 32703 grad_norm: 19.4142 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0314 loss: 1.0314 2022/07/31 00:23:47 - mmengine - INFO - Epoch(train) [49][2160/2505] lr: 5.0000e-06 eta: 6:17:31 time: 0.8975 data_time: 0.0271 memory: 32703 grad_norm: 19.0474 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9090 loss: 0.9090 2022/07/31 00:24:09 - mmengine - INFO - Epoch(train) [49][2180/2505] lr: 5.0000e-06 eta: 6:17:12 time: 1.1028 data_time: 0.0272 memory: 32703 grad_norm: 19.1492 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0715 loss: 1.0715 2022/07/31 00:24:26 - mmengine - INFO - Epoch(train) [49][2200/2505] lr: 5.0000e-06 eta: 6:16:51 time: 0.8706 data_time: 0.0287 memory: 32703 grad_norm: 18.7643 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1219 loss: 1.1219 2022/07/31 00:24:47 - mmengine - INFO - Epoch(train) [49][2220/2505] lr: 5.0000e-06 eta: 6:16:32 time: 1.0540 data_time: 0.0307 memory: 32703 grad_norm: 19.5871 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9483 loss: 0.9483 2022/07/31 00:25:05 - mmengine - INFO - Epoch(train) [49][2240/2505] lr: 5.0000e-06 eta: 6:16:12 time: 0.8793 data_time: 0.0268 memory: 32703 grad_norm: 18.9683 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1935 loss: 1.1935 2022/07/31 00:25:26 - mmengine - INFO - Epoch(train) [49][2260/2505] lr: 5.0000e-06 eta: 6:15:52 time: 1.0756 data_time: 0.0272 memory: 32703 grad_norm: 18.6349 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8926 loss: 0.8926 2022/07/31 00:25:45 - mmengine - INFO - Epoch(train) [49][2280/2505] lr: 5.0000e-06 eta: 6:15:32 time: 0.9474 data_time: 0.0272 memory: 32703 grad_norm: 18.5363 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 0.9963 loss: 0.9963 2022/07/31 00:26:04 - mmengine - INFO - Epoch(train) [49][2300/2505] lr: 5.0000e-06 eta: 6:15:12 time: 0.9249 data_time: 0.0262 memory: 32703 grad_norm: 18.5736 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0245 loss: 1.0245 2022/07/31 00:26:24 - mmengine - INFO - Epoch(train) [49][2320/2505] lr: 5.0000e-06 eta: 6:14:53 time: 1.0382 data_time: 0.0291 memory: 32703 grad_norm: 18.9297 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9051 loss: 0.9051 2022/07/31 00:26:43 - mmengine - INFO - Epoch(train) [49][2340/2505] lr: 5.0000e-06 eta: 6:14:33 time: 0.9306 data_time: 0.0271 memory: 32703 grad_norm: 18.7402 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0695 loss: 1.0695 2022/07/31 00:27:04 - mmengine - INFO - Epoch(train) [49][2360/2505] lr: 5.0000e-06 eta: 6:14:13 time: 1.0417 data_time: 0.0284 memory: 32703 grad_norm: 18.2427 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0580 loss: 1.0580 2022/07/31 00:27:22 - mmengine - INFO - Epoch(train) [49][2380/2505] lr: 5.0000e-06 eta: 6:13:53 time: 0.9027 data_time: 0.0317 memory: 32703 grad_norm: 18.4664 top1_acc: 0.4167 top5_acc: 1.0000 loss_cls: 1.0190 loss: 1.0190 2022/07/31 00:27:43 - mmengine - INFO - Epoch(train) [49][2400/2505] lr: 5.0000e-06 eta: 6:13:33 time: 1.0569 data_time: 0.0282 memory: 32703 grad_norm: 18.1571 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9589 loss: 0.9589 2022/07/31 00:28:01 - mmengine - INFO - Epoch(train) [49][2420/2505] lr: 5.0000e-06 eta: 6:13:13 time: 0.9160 data_time: 0.0285 memory: 32703 grad_norm: 19.6527 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8391 loss: 0.8391 2022/07/31 00:28:22 - mmengine - INFO - Epoch(train) [49][2440/2505] lr: 5.0000e-06 eta: 6:12:54 time: 1.0372 data_time: 0.0287 memory: 32703 grad_norm: 18.8541 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3092 loss: 1.3092 2022/07/31 00:28:41 - mmengine - INFO - Epoch(train) [49][2460/2505] lr: 5.0000e-06 eta: 6:12:34 time: 0.9211 data_time: 0.0284 memory: 32703 grad_norm: 18.6970 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8947 loss: 0.8947 2022/07/31 00:29:02 - mmengine - INFO - Epoch(train) [49][2480/2505] lr: 5.0000e-06 eta: 6:12:14 time: 1.0779 data_time: 0.0276 memory: 32703 grad_norm: 19.4195 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0319 loss: 1.0319 2022/07/31 00:29:19 - mmengine - INFO - Epoch(train) [49][2500/2505] lr: 5.0000e-06 eta: 6:11:54 time: 0.8155 data_time: 0.0296 memory: 32703 grad_norm: 19.5706 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0697 loss: 1.0697 2022/07/31 00:29:21 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 00:29:21 - mmengine - INFO - Epoch(train) [49][2505/2505] lr: 5.0000e-06 eta: 6:11:54 time: 0.7954 data_time: 0.0215 memory: 32703 grad_norm: 19.6379 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1088 loss: 1.1088 2022/07/31 00:29:48 - mmengine - INFO - Epoch(train) [50][20/2505] lr: 5.0000e-06 eta: 6:11:29 time: 1.3269 data_time: 0.6668 memory: 32703 grad_norm: 19.0361 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0103 loss: 1.0103 2022/07/31 00:30:08 - mmengine - INFO - Epoch(train) [50][40/2505] lr: 5.0000e-06 eta: 6:11:10 time: 0.9920 data_time: 0.1830 memory: 32703 grad_norm: 18.8443 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0909 loss: 1.0909 2022/07/31 00:30:30 - mmengine - INFO - Epoch(train) [50][60/2505] lr: 5.0000e-06 eta: 6:10:50 time: 1.0841 data_time: 0.1916 memory: 32703 grad_norm: 19.1724 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8877 loss: 0.8877 2022/07/31 00:30:47 - mmengine - INFO - Epoch(train) [50][80/2505] lr: 5.0000e-06 eta: 6:10:30 time: 0.8837 data_time: 0.0320 memory: 32703 grad_norm: 19.1901 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2252 loss: 1.2252 2022/07/31 00:31:09 - mmengine - INFO - Epoch(train) [50][100/2505] lr: 5.0000e-06 eta: 6:10:10 time: 1.0866 data_time: 0.0338 memory: 32703 grad_norm: 18.7046 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9892 loss: 0.9892 2022/07/31 00:31:27 - mmengine - INFO - Epoch(train) [50][120/2505] lr: 5.0000e-06 eta: 6:09:50 time: 0.9174 data_time: 0.0328 memory: 32703 grad_norm: 19.1571 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0673 loss: 1.0673 2022/07/31 00:31:49 - mmengine - INFO - Epoch(train) [50][140/2505] lr: 5.0000e-06 eta: 6:09:31 time: 1.0748 data_time: 0.0325 memory: 32703 grad_norm: 20.0439 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8370 loss: 0.8370 2022/07/31 00:32:06 - mmengine - INFO - Epoch(train) [50][160/2505] lr: 5.0000e-06 eta: 6:09:11 time: 0.8800 data_time: 0.0341 memory: 32703 grad_norm: 19.2143 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8509 loss: 0.8509 2022/07/31 00:32:28 - mmengine - INFO - Epoch(train) [50][180/2505] lr: 5.0000e-06 eta: 6:08:51 time: 1.0771 data_time: 0.0283 memory: 32703 grad_norm: 19.2289 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0547 loss: 1.0547 2022/07/31 00:32:46 - mmengine - INFO - Epoch(train) [50][200/2505] lr: 5.0000e-06 eta: 6:08:31 time: 0.9109 data_time: 0.0316 memory: 32703 grad_norm: 18.5937 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9409 loss: 0.9409 2022/07/31 00:33:08 - mmengine - INFO - Epoch(train) [50][220/2505] lr: 5.0000e-06 eta: 6:08:12 time: 1.0691 data_time: 0.0298 memory: 32703 grad_norm: 17.9894 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8022 loss: 0.8022 2022/07/31 00:33:25 - mmengine - INFO - Epoch(train) [50][240/2505] lr: 5.0000e-06 eta: 6:07:51 time: 0.8565 data_time: 0.0335 memory: 32703 grad_norm: 20.2595 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1648 loss: 1.1648 2022/07/31 00:33:40 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 00:33:46 - mmengine - INFO - Epoch(train) [50][260/2505] lr: 5.0000e-06 eta: 6:07:32 time: 1.0495 data_time: 0.0284 memory: 32703 grad_norm: 19.6575 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1907 loss: 1.1907 2022/07/31 00:34:05 - mmengine - INFO - Epoch(train) [50][280/2505] lr: 5.0000e-06 eta: 6:07:12 time: 0.9451 data_time: 0.0283 memory: 32703 grad_norm: 18.7026 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8785 loss: 0.8785 2022/07/31 00:34:26 - mmengine - INFO - Epoch(train) [50][300/2505] lr: 5.0000e-06 eta: 6:06:52 time: 1.0604 data_time: 0.0290 memory: 32703 grad_norm: 19.0552 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.1346 loss: 1.1346 2022/07/31 00:34:44 - mmengine - INFO - Epoch(train) [50][320/2505] lr: 5.0000e-06 eta: 6:06:32 time: 0.9152 data_time: 0.0272 memory: 32703 grad_norm: 18.9213 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1142 loss: 1.1142 2022/07/31 00:35:06 - mmengine - INFO - Epoch(train) [50][340/2505] lr: 5.0000e-06 eta: 6:06:13 time: 1.1104 data_time: 0.0294 memory: 32703 grad_norm: 18.9364 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8167 loss: 0.8167 2022/07/31 00:35:25 - mmengine - INFO - Epoch(train) [50][360/2505] lr: 5.0000e-06 eta: 6:05:53 time: 0.9253 data_time: 0.0295 memory: 32703 grad_norm: 18.4830 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1315 loss: 1.1315 2022/07/31 00:35:45 - mmengine - INFO - Epoch(train) [50][380/2505] lr: 5.0000e-06 eta: 6:05:33 time: 1.0181 data_time: 0.0279 memory: 32703 grad_norm: 19.8679 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0962 loss: 1.0962 2022/07/31 00:36:05 - mmengine - INFO - Epoch(train) [50][400/2505] lr: 5.0000e-06 eta: 6:05:13 time: 0.9774 data_time: 0.0294 memory: 32703 grad_norm: 20.0807 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9897 loss: 0.9897 2022/07/31 00:36:25 - mmengine - INFO - Epoch(train) [50][420/2505] lr: 5.0000e-06 eta: 6:04:54 time: 1.0065 data_time: 0.0268 memory: 32703 grad_norm: 18.2812 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9840 loss: 0.9840 2022/07/31 00:36:43 - mmengine - INFO - Epoch(train) [50][440/2505] lr: 5.0000e-06 eta: 6:04:34 time: 0.9091 data_time: 0.0301 memory: 32703 grad_norm: 19.2220 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0484 loss: 1.0484 2022/07/31 00:37:04 - mmengine - INFO - Epoch(train) [50][460/2505] lr: 5.0000e-06 eta: 6:04:14 time: 1.0545 data_time: 0.0295 memory: 32703 grad_norm: 19.5484 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1717 loss: 1.1717 2022/07/31 00:37:23 - mmengine - INFO - Epoch(train) [50][480/2505] lr: 5.0000e-06 eta: 6:03:54 time: 0.9231 data_time: 0.0313 memory: 32703 grad_norm: 19.5282 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0890 loss: 1.0890 2022/07/31 00:37:43 - mmengine - INFO - Epoch(train) [50][500/2505] lr: 5.0000e-06 eta: 6:03:34 time: 1.0198 data_time: 0.0278 memory: 32703 grad_norm: 18.6146 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8873 loss: 0.8873 2022/07/31 00:38:02 - mmengine - INFO - Epoch(train) [50][520/2505] lr: 5.0000e-06 eta: 6:03:14 time: 0.9294 data_time: 0.0279 memory: 32703 grad_norm: 18.6188 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8390 loss: 0.8390 2022/07/31 00:38:23 - mmengine - INFO - Epoch(train) [50][540/2505] lr: 5.0000e-06 eta: 6:02:55 time: 1.0581 data_time: 0.0342 memory: 32703 grad_norm: 18.6171 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9592 loss: 0.9592 2022/07/31 00:38:40 - mmengine - INFO - Epoch(train) [50][560/2505] lr: 5.0000e-06 eta: 6:02:34 time: 0.8541 data_time: 0.0262 memory: 32703 grad_norm: 19.0318 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8810 loss: 0.8810 2022/07/31 00:39:01 - mmengine - INFO - Epoch(train) [50][580/2505] lr: 5.0000e-06 eta: 6:02:15 time: 1.0665 data_time: 0.0275 memory: 32703 grad_norm: 18.0634 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0160 loss: 1.0160 2022/07/31 00:39:20 - mmengine - INFO - Epoch(train) [50][600/2505] lr: 5.0000e-06 eta: 6:01:55 time: 0.9152 data_time: 0.0283 memory: 32703 grad_norm: 18.9315 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1232 loss: 1.1232 2022/07/31 00:39:41 - mmengine - INFO - Epoch(train) [50][620/2505] lr: 5.0000e-06 eta: 6:01:35 time: 1.0520 data_time: 0.0267 memory: 32703 grad_norm: 18.9272 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9974 loss: 0.9974 2022/07/31 00:40:00 - mmengine - INFO - Epoch(train) [50][640/2505] lr: 5.0000e-06 eta: 6:01:15 time: 0.9617 data_time: 0.0335 memory: 32703 grad_norm: 17.7184 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0110 loss: 1.0110 2022/07/31 00:40:19 - mmengine - INFO - Epoch(train) [50][660/2505] lr: 5.0000e-06 eta: 6:00:56 time: 0.9609 data_time: 0.0290 memory: 32703 grad_norm: 19.1011 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0438 loss: 1.0438 2022/07/31 00:40:39 - mmengine - INFO - Epoch(train) [50][680/2505] lr: 5.0000e-06 eta: 6:00:36 time: 0.9785 data_time: 0.0299 memory: 32703 grad_norm: 18.9961 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8712 loss: 0.8712 2022/07/31 00:40:59 - mmengine - INFO - Epoch(train) [50][700/2505] lr: 5.0000e-06 eta: 6:00:16 time: 1.0109 data_time: 0.0267 memory: 32703 grad_norm: 19.6616 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1164 loss: 1.1164 2022/07/31 00:41:18 - mmengine - INFO - Epoch(train) [50][720/2505] lr: 5.0000e-06 eta: 5:59:56 time: 0.9677 data_time: 0.0356 memory: 32703 grad_norm: 19.5887 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7662 loss: 0.7662 2022/07/31 00:41:37 - mmengine - INFO - Epoch(train) [50][740/2505] lr: 5.0000e-06 eta: 5:59:36 time: 0.9327 data_time: 0.0255 memory: 32703 grad_norm: 19.9652 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0463 loss: 1.0463 2022/07/31 00:41:57 - mmengine - INFO - Epoch(train) [50][760/2505] lr: 5.0000e-06 eta: 5:59:16 time: 0.9897 data_time: 0.0300 memory: 32703 grad_norm: 19.5179 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1046 loss: 1.1046 2022/07/31 00:42:16 - mmengine - INFO - Epoch(train) [50][780/2505] lr: 5.0000e-06 eta: 5:58:56 time: 0.9719 data_time: 0.0260 memory: 32703 grad_norm: 18.5252 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9889 loss: 0.9889 2022/07/31 00:42:35 - mmengine - INFO - Epoch(train) [50][800/2505] lr: 5.0000e-06 eta: 5:58:37 time: 0.9453 data_time: 0.0334 memory: 32703 grad_norm: 19.2757 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8543 loss: 0.8543 2022/07/31 00:42:55 - mmengine - INFO - Epoch(train) [50][820/2505] lr: 5.0000e-06 eta: 5:58:17 time: 1.0048 data_time: 0.0264 memory: 32703 grad_norm: 18.9384 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9122 loss: 0.9122 2022/07/31 00:43:14 - mmengine - INFO - Epoch(train) [50][840/2505] lr: 5.0000e-06 eta: 5:57:57 time: 0.9269 data_time: 0.0316 memory: 32703 grad_norm: 19.5957 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.9799 loss: 0.9799 2022/07/31 00:43:35 - mmengine - INFO - Epoch(train) [50][860/2505] lr: 5.0000e-06 eta: 5:57:37 time: 1.0491 data_time: 0.0274 memory: 32703 grad_norm: 18.8152 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0406 loss: 1.0406 2022/07/31 00:43:53 - mmengine - INFO - Epoch(train) [50][880/2505] lr: 5.0000e-06 eta: 5:57:17 time: 0.9092 data_time: 0.0311 memory: 32703 grad_norm: 19.1140 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9299 loss: 0.9299 2022/07/31 00:44:14 - mmengine - INFO - Epoch(train) [50][900/2505] lr: 5.0000e-06 eta: 5:56:58 time: 1.0449 data_time: 0.0331 memory: 32703 grad_norm: 19.8648 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9660 loss: 0.9660 2022/07/31 00:44:32 - mmengine - INFO - Epoch(train) [50][920/2505] lr: 5.0000e-06 eta: 5:56:37 time: 0.8892 data_time: 0.0319 memory: 32703 grad_norm: 18.7853 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9157 loss: 0.9157 2022/07/31 00:44:52 - mmengine - INFO - Epoch(train) [50][940/2505] lr: 5.0000e-06 eta: 5:56:18 time: 1.0115 data_time: 0.0325 memory: 32703 grad_norm: 20.4446 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0150 loss: 1.0150 2022/07/31 00:45:12 - mmengine - INFO - Epoch(train) [50][960/2505] lr: 5.0000e-06 eta: 5:55:58 time: 1.0046 data_time: 0.0274 memory: 32703 grad_norm: 18.1260 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8516 loss: 0.8516 2022/07/31 00:45:32 - mmengine - INFO - Epoch(train) [50][980/2505] lr: 5.0000e-06 eta: 5:55:38 time: 1.0166 data_time: 0.0335 memory: 32703 grad_norm: 18.3337 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9847 loss: 0.9847 2022/07/31 00:45:52 - mmengine - INFO - Epoch(train) [50][1000/2505] lr: 5.0000e-06 eta: 5:55:18 time: 0.9693 data_time: 0.0285 memory: 32703 grad_norm: 18.8083 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9533 loss: 0.9533 2022/07/31 00:46:12 - mmengine - INFO - Epoch(train) [50][1020/2505] lr: 5.0000e-06 eta: 5:54:59 time: 1.0072 data_time: 0.0304 memory: 32703 grad_norm: 19.2624 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9735 loss: 0.9735 2022/07/31 00:46:31 - mmengine - INFO - Epoch(train) [50][1040/2505] lr: 5.0000e-06 eta: 5:54:39 time: 0.9346 data_time: 0.0306 memory: 32703 grad_norm: 19.0792 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9399 loss: 0.9399 2022/07/31 00:46:50 - mmengine - INFO - Epoch(train) [50][1060/2505] lr: 5.0000e-06 eta: 5:54:19 time: 0.9908 data_time: 0.0287 memory: 32703 grad_norm: 18.6105 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9187 loss: 0.9187 2022/07/31 00:47:10 - mmengine - INFO - Epoch(train) [50][1080/2505] lr: 5.0000e-06 eta: 5:53:59 time: 0.9758 data_time: 0.0296 memory: 32703 grad_norm: 19.0450 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9854 loss: 0.9854 2022/07/31 00:47:32 - mmengine - INFO - Epoch(train) [50][1100/2505] lr: 5.0000e-06 eta: 5:53:40 time: 1.0880 data_time: 0.0288 memory: 32703 grad_norm: 18.4322 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9384 loss: 0.9384 2022/07/31 00:47:50 - mmengine - INFO - Epoch(train) [50][1120/2505] lr: 5.0000e-06 eta: 5:53:20 time: 0.9153 data_time: 0.0361 memory: 32703 grad_norm: 17.9003 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9355 loss: 0.9355 2022/07/31 00:48:08 - mmengine - INFO - Epoch(train) [50][1140/2505] lr: 5.0000e-06 eta: 5:53:00 time: 0.9218 data_time: 0.0277 memory: 32703 grad_norm: 19.8437 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1006 loss: 1.1006 2022/07/31 00:48:28 - mmengine - INFO - Epoch(train) [50][1160/2505] lr: 5.0000e-06 eta: 5:52:40 time: 0.9814 data_time: 0.0252 memory: 32703 grad_norm: 19.3431 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8942 loss: 0.8942 2022/07/31 00:48:48 - mmengine - INFO - Epoch(train) [50][1180/2505] lr: 5.0000e-06 eta: 5:52:20 time: 0.9930 data_time: 0.0272 memory: 32703 grad_norm: 18.5108 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9584 loss: 0.9584 2022/07/31 00:49:07 - mmengine - INFO - Epoch(train) [50][1200/2505] lr: 5.0000e-06 eta: 5:52:00 time: 0.9522 data_time: 0.0305 memory: 32703 grad_norm: 19.0468 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.8976 loss: 0.8976 2022/07/31 00:49:27 - mmengine - INFO - Epoch(train) [50][1220/2505] lr: 5.0000e-06 eta: 5:51:40 time: 1.0070 data_time: 0.0278 memory: 32703 grad_norm: 19.6509 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0213 loss: 1.0213 2022/07/31 00:49:46 - mmengine - INFO - Epoch(train) [50][1240/2505] lr: 5.0000e-06 eta: 5:51:20 time: 0.9429 data_time: 0.0271 memory: 32703 grad_norm: 19.3975 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9814 loss: 0.9814 2022/07/31 00:50:01 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 00:50:07 - mmengine - INFO - Epoch(train) [50][1260/2505] lr: 5.0000e-06 eta: 5:51:01 time: 1.0660 data_time: 0.0284 memory: 32703 grad_norm: 19.7647 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9296 loss: 0.9296 2022/07/31 00:50:26 - mmengine - INFO - Epoch(train) [50][1280/2505] lr: 5.0000e-06 eta: 5:50:41 time: 0.9592 data_time: 0.0277 memory: 32703 grad_norm: 19.3414 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9678 loss: 0.9678 2022/07/31 00:50:46 - mmengine - INFO - Epoch(train) [50][1300/2505] lr: 5.0000e-06 eta: 5:50:21 time: 0.9916 data_time: 0.0294 memory: 32703 grad_norm: 19.1401 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0401 loss: 1.0401 2022/07/31 00:51:05 - mmengine - INFO - Epoch(train) [50][1320/2505] lr: 5.0000e-06 eta: 5:50:01 time: 0.9565 data_time: 0.0272 memory: 32703 grad_norm: 18.9664 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9339 loss: 0.9339 2022/07/31 00:51:26 - mmengine - INFO - Epoch(train) [50][1340/2505] lr: 5.0000e-06 eta: 5:49:42 time: 1.0242 data_time: 0.0306 memory: 32703 grad_norm: 18.8904 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8035 loss: 0.8035 2022/07/31 00:51:45 - mmengine - INFO - Epoch(train) [50][1360/2505] lr: 5.0000e-06 eta: 5:49:22 time: 0.9344 data_time: 0.0284 memory: 32703 grad_norm: 18.9093 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7456 loss: 0.7456 2022/07/31 00:52:05 - mmengine - INFO - Epoch(train) [50][1380/2505] lr: 5.0000e-06 eta: 5:49:02 time: 1.0411 data_time: 0.0288 memory: 32703 grad_norm: 19.4827 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9621 loss: 0.9621 2022/07/31 00:52:23 - mmengine - INFO - Epoch(train) [50][1400/2505] lr: 5.0000e-06 eta: 5:48:42 time: 0.8974 data_time: 0.0287 memory: 32703 grad_norm: 19.2251 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8930 loss: 0.8930 2022/07/31 00:52:44 - mmengine - INFO - Epoch(train) [50][1420/2505] lr: 5.0000e-06 eta: 5:48:22 time: 1.0465 data_time: 0.0321 memory: 32703 grad_norm: 18.3805 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0018 loss: 1.0018 2022/07/31 00:53:03 - mmengine - INFO - Epoch(train) [50][1440/2505] lr: 5.0000e-06 eta: 5:48:02 time: 0.9531 data_time: 0.0300 memory: 32703 grad_norm: 19.2144 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8542 loss: 0.8542 2022/07/31 00:53:24 - mmengine - INFO - Epoch(train) [50][1460/2505] lr: 5.0000e-06 eta: 5:47:43 time: 1.0456 data_time: 0.0329 memory: 32703 grad_norm: 19.3131 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9088 loss: 0.9088 2022/07/31 00:53:43 - mmengine - INFO - Epoch(train) [50][1480/2505] lr: 5.0000e-06 eta: 5:47:23 time: 0.9419 data_time: 0.0302 memory: 32703 grad_norm: 19.6970 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 0.8676 loss: 0.8676 2022/07/31 00:54:03 - mmengine - INFO - Epoch(train) [50][1500/2505] lr: 5.0000e-06 eta: 5:47:03 time: 0.9868 data_time: 0.0266 memory: 32703 grad_norm: 18.6777 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8989 loss: 0.8989 2022/07/31 00:54:23 - mmengine - INFO - Epoch(train) [50][1520/2505] lr: 5.0000e-06 eta: 5:46:43 time: 1.0045 data_time: 0.0308 memory: 32703 grad_norm: 19.3545 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9312 loss: 0.9312 2022/07/31 00:54:41 - mmengine - INFO - Epoch(train) [50][1540/2505] lr: 5.0000e-06 eta: 5:46:23 time: 0.9143 data_time: 0.0267 memory: 32703 grad_norm: 19.1742 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8791 loss: 0.8791 2022/07/31 00:55:02 - mmengine - INFO - Epoch(train) [50][1560/2505] lr: 5.0000e-06 eta: 5:46:04 time: 1.0275 data_time: 0.0290 memory: 32703 grad_norm: 19.8011 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1066 loss: 1.1066 2022/07/31 00:55:22 - mmengine - INFO - Epoch(train) [50][1580/2505] lr: 5.0000e-06 eta: 5:45:44 time: 1.0172 data_time: 0.0354 memory: 32703 grad_norm: 19.0953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7977 loss: 0.7977 2022/07/31 00:55:41 - mmengine - INFO - Epoch(train) [50][1600/2505] lr: 5.0000e-06 eta: 5:45:24 time: 0.9436 data_time: 0.0285 memory: 32703 grad_norm: 18.5455 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9429 loss: 0.9429 2022/07/31 00:56:01 - mmengine - INFO - Epoch(train) [50][1620/2505] lr: 5.0000e-06 eta: 5:45:04 time: 0.9789 data_time: 0.0254 memory: 32703 grad_norm: 19.8449 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1257 loss: 1.1257 2022/07/31 00:56:21 - mmengine - INFO - Epoch(train) [50][1640/2505] lr: 5.0000e-06 eta: 5:44:44 time: 1.0073 data_time: 0.0285 memory: 32703 grad_norm: 19.3969 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0034 loss: 1.0034 2022/07/31 00:56:41 - mmengine - INFO - Epoch(train) [50][1660/2505] lr: 5.0000e-06 eta: 5:44:25 time: 0.9861 data_time: 0.0275 memory: 32703 grad_norm: 18.7934 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8461 loss: 0.8461 2022/07/31 00:56:59 - mmengine - INFO - Epoch(train) [50][1680/2505] lr: 5.0000e-06 eta: 5:44:05 time: 0.9008 data_time: 0.0284 memory: 32703 grad_norm: 18.7024 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8264 loss: 0.8264 2022/07/31 00:57:20 - mmengine - INFO - Epoch(train) [50][1700/2505] lr: 5.0000e-06 eta: 5:43:45 time: 1.0576 data_time: 0.0323 memory: 32703 grad_norm: 18.2668 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9045 loss: 0.9045 2022/07/31 00:57:37 - mmengine - INFO - Epoch(train) [50][1720/2505] lr: 5.0000e-06 eta: 5:43:25 time: 0.8729 data_time: 0.0283 memory: 32703 grad_norm: 18.8645 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9709 loss: 0.9709 2022/07/31 00:57:58 - mmengine - INFO - Epoch(train) [50][1740/2505] lr: 5.0000e-06 eta: 5:43:05 time: 1.0560 data_time: 0.0303 memory: 32703 grad_norm: 18.1377 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7615 loss: 0.7615 2022/07/31 00:58:17 - mmengine - INFO - Epoch(train) [50][1760/2505] lr: 5.0000e-06 eta: 5:42:45 time: 0.9178 data_time: 0.0334 memory: 32703 grad_norm: 18.3285 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1695 loss: 1.1695 2022/07/31 00:58:39 - mmengine - INFO - Epoch(train) [50][1780/2505] lr: 5.0000e-06 eta: 5:42:26 time: 1.0929 data_time: 0.0271 memory: 32703 grad_norm: 19.2945 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8127 loss: 0.8127 2022/07/31 00:58:56 - mmengine - INFO - Epoch(train) [50][1800/2505] lr: 5.0000e-06 eta: 5:42:06 time: 0.8881 data_time: 0.0292 memory: 32703 grad_norm: 19.7097 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1340 loss: 1.1340 2022/07/31 00:59:17 - mmengine - INFO - Epoch(train) [50][1820/2505] lr: 5.0000e-06 eta: 5:41:46 time: 1.0234 data_time: 0.0305 memory: 32703 grad_norm: 18.7280 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0852 loss: 1.0852 2022/07/31 00:59:34 - mmengine - INFO - Epoch(train) [50][1840/2505] lr: 5.0000e-06 eta: 5:41:26 time: 0.8509 data_time: 0.0309 memory: 32703 grad_norm: 18.3248 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0774 loss: 1.0774 2022/07/31 00:59:55 - mmengine - INFO - Epoch(train) [50][1860/2505] lr: 5.0000e-06 eta: 5:41:06 time: 1.0719 data_time: 0.0330 memory: 32703 grad_norm: 18.5642 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1184 loss: 1.1184 2022/07/31 01:00:14 - mmengine - INFO - Epoch(train) [50][1880/2505] lr: 5.0000e-06 eta: 5:40:46 time: 0.9120 data_time: 0.0282 memory: 32703 grad_norm: 19.1022 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8856 loss: 0.8856 2022/07/31 01:00:35 - mmengine - INFO - Epoch(train) [50][1900/2505] lr: 5.0000e-06 eta: 5:40:27 time: 1.0738 data_time: 0.0331 memory: 32703 grad_norm: 18.8111 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9626 loss: 0.9626 2022/07/31 01:00:53 - mmengine - INFO - Epoch(train) [50][1920/2505] lr: 5.0000e-06 eta: 5:40:06 time: 0.8753 data_time: 0.0319 memory: 32703 grad_norm: 19.3556 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9294 loss: 0.9294 2022/07/31 01:01:14 - mmengine - INFO - Epoch(train) [50][1940/2505] lr: 5.0000e-06 eta: 5:39:47 time: 1.0479 data_time: 0.0291 memory: 32703 grad_norm: 18.8398 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0204 loss: 1.0204 2022/07/31 01:01:32 - mmengine - INFO - Epoch(train) [50][1960/2505] lr: 5.0000e-06 eta: 5:39:27 time: 0.9357 data_time: 0.0285 memory: 32703 grad_norm: 18.7344 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9580 loss: 0.9580 2022/07/31 01:01:52 - mmengine - INFO - Epoch(train) [50][1980/2505] lr: 5.0000e-06 eta: 5:39:07 time: 0.9865 data_time: 0.0328 memory: 32703 grad_norm: 19.5307 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9590 loss: 0.9590 2022/07/31 01:02:12 - mmengine - INFO - Epoch(train) [50][2000/2505] lr: 5.0000e-06 eta: 5:38:47 time: 1.0035 data_time: 0.0362 memory: 32703 grad_norm: 19.6870 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9676 loss: 0.9676 2022/07/31 01:02:32 - mmengine - INFO - Epoch(train) [50][2020/2505] lr: 5.0000e-06 eta: 5:38:28 time: 0.9847 data_time: 0.0282 memory: 32703 grad_norm: 19.4769 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0395 loss: 1.0395 2022/07/31 01:02:51 - mmengine - INFO - Epoch(train) [50][2040/2505] lr: 5.0000e-06 eta: 5:38:08 time: 0.9494 data_time: 0.0334 memory: 32703 grad_norm: 19.2584 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9316 loss: 0.9316 2022/07/31 01:03:12 - mmengine - INFO - Epoch(train) [50][2060/2505] lr: 5.0000e-06 eta: 5:37:48 time: 1.0351 data_time: 0.0304 memory: 32703 grad_norm: 19.5394 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9386 loss: 0.9386 2022/07/31 01:03:30 - mmengine - INFO - Epoch(train) [50][2080/2505] lr: 5.0000e-06 eta: 5:37:28 time: 0.9059 data_time: 0.0331 memory: 32703 grad_norm: 18.6558 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8703 loss: 0.8703 2022/07/31 01:03:50 - mmengine - INFO - Epoch(train) [50][2100/2505] lr: 5.0000e-06 eta: 5:37:08 time: 1.0095 data_time: 0.0333 memory: 32703 grad_norm: 18.4105 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9069 loss: 0.9069 2022/07/31 01:04:08 - mmengine - INFO - Epoch(train) [50][2120/2505] lr: 5.0000e-06 eta: 5:36:48 time: 0.9102 data_time: 0.0315 memory: 32703 grad_norm: 19.4215 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9465 loss: 0.9465 2022/07/31 01:04:29 - mmengine - INFO - Epoch(train) [50][2140/2505] lr: 5.0000e-06 eta: 5:36:29 time: 1.0349 data_time: 0.0267 memory: 32703 grad_norm: 19.0504 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1434 loss: 1.1434 2022/07/31 01:04:47 - mmengine - INFO - Epoch(train) [50][2160/2505] lr: 5.0000e-06 eta: 5:36:09 time: 0.9239 data_time: 0.0395 memory: 32703 grad_norm: 18.8266 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8255 loss: 0.8255 2022/07/31 01:05:08 - mmengine - INFO - Epoch(train) [50][2180/2505] lr: 5.0000e-06 eta: 5:35:49 time: 1.0514 data_time: 0.0391 memory: 32703 grad_norm: 19.4275 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7845 loss: 0.7845 2022/07/31 01:05:28 - mmengine - INFO - Epoch(train) [50][2200/2505] lr: 5.0000e-06 eta: 5:35:29 time: 0.9799 data_time: 0.0292 memory: 32703 grad_norm: 18.8973 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9160 loss: 0.9160 2022/07/31 01:05:48 - mmengine - INFO - Epoch(train) [50][2220/2505] lr: 5.0000e-06 eta: 5:35:09 time: 0.9874 data_time: 0.0512 memory: 32703 grad_norm: 18.7554 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2367 loss: 1.2367 2022/07/31 01:06:08 - mmengine - INFO - Epoch(train) [50][2240/2505] lr: 5.0000e-06 eta: 5:34:50 time: 1.0203 data_time: 0.1264 memory: 32703 grad_norm: 19.3372 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9326 loss: 0.9326 2022/07/31 01:06:21 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 01:06:27 - mmengine - INFO - Epoch(train) [50][2260/2505] lr: 5.0000e-06 eta: 5:34:30 time: 0.9469 data_time: 0.0575 memory: 32703 grad_norm: 19.2994 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9591 loss: 0.9591 2022/07/31 01:06:47 - mmengine - INFO - Epoch(train) [50][2280/2505] lr: 5.0000e-06 eta: 5:34:10 time: 0.9850 data_time: 0.1303 memory: 32703 grad_norm: 19.2463 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0550 loss: 1.0550 2022/07/31 01:07:06 - mmengine - INFO - Epoch(train) [50][2300/2505] lr: 5.0000e-06 eta: 5:33:50 time: 0.9705 data_time: 0.1632 memory: 32703 grad_norm: 18.9679 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0404 loss: 1.0404 2022/07/31 01:07:27 - mmengine - INFO - Epoch(train) [50][2320/2505] lr: 5.0000e-06 eta: 5:33:30 time: 1.0214 data_time: 0.0443 memory: 32703 grad_norm: 19.4221 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0775 loss: 1.0775 2022/07/31 01:07:45 - mmengine - INFO - Epoch(train) [50][2340/2505] lr: 5.0000e-06 eta: 5:33:10 time: 0.9372 data_time: 0.1191 memory: 32703 grad_norm: 18.7148 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0324 loss: 1.0324 2022/07/31 01:08:06 - mmengine - INFO - Epoch(train) [50][2360/2505] lr: 5.0000e-06 eta: 5:32:51 time: 1.0151 data_time: 0.0815 memory: 32703 grad_norm: 18.9255 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9491 loss: 0.9491 2022/07/31 01:08:24 - mmengine - INFO - Epoch(train) [50][2380/2505] lr: 5.0000e-06 eta: 5:32:31 time: 0.9409 data_time: 0.0933 memory: 32703 grad_norm: 19.3904 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0436 loss: 1.0436 2022/07/31 01:08:44 - mmengine - INFO - Epoch(train) [50][2400/2505] lr: 5.0000e-06 eta: 5:32:11 time: 1.0005 data_time: 0.0596 memory: 32703 grad_norm: 19.2254 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9591 loss: 0.9591 2022/07/31 01:09:03 - mmengine - INFO - Epoch(train) [50][2420/2505] lr: 5.0000e-06 eta: 5:31:51 time: 0.9406 data_time: 0.0327 memory: 32703 grad_norm: 19.3296 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9897 loss: 0.9897 2022/07/31 01:09:24 - mmengine - INFO - Epoch(train) [50][2440/2505] lr: 5.0000e-06 eta: 5:31:31 time: 1.0209 data_time: 0.0409 memory: 32703 grad_norm: 18.6284 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9335 loss: 0.9335 2022/07/31 01:09:44 - mmengine - INFO - Epoch(train) [50][2460/2505] lr: 5.0000e-06 eta: 5:31:12 time: 1.0061 data_time: 0.0334 memory: 32703 grad_norm: 19.3953 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0832 loss: 1.0832 2022/07/31 01:10:03 - mmengine - INFO - Epoch(train) [50][2480/2505] lr: 5.0000e-06 eta: 5:30:52 time: 0.9436 data_time: 0.0283 memory: 32703 grad_norm: 18.9556 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9652 loss: 0.9652 2022/07/31 01:10:22 - mmengine - INFO - Epoch(train) [50][2500/2505] lr: 5.0000e-06 eta: 5:30:32 time: 0.9516 data_time: 0.0338 memory: 32703 grad_norm: 18.2444 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8573 loss: 0.8573 2022/07/31 01:10:24 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 01:10:24 - mmengine - INFO - Epoch(train) [50][2505/2505] lr: 5.0000e-06 eta: 5:30:32 time: 0.8273 data_time: 0.0222 memory: 32703 grad_norm: 19.3592 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8937 loss: 0.8937 2022/07/31 01:10:25 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/07/31 01:10:55 - mmengine - INFO - Epoch(train) [51][20/2505] lr: 5.0000e-06 eta: 5:30:07 time: 1.2255 data_time: 0.6424 memory: 32703 grad_norm: 19.2440 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8632 loss: 0.8632 2022/07/31 01:11:14 - mmengine - INFO - Epoch(train) [51][40/2505] lr: 5.0000e-06 eta: 5:29:47 time: 0.9166 data_time: 0.3418 memory: 32703 grad_norm: 18.6188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9869 loss: 0.9869 2022/07/31 01:11:34 - mmengine - INFO - Epoch(train) [51][60/2505] lr: 5.0000e-06 eta: 5:29:27 time: 0.9950 data_time: 0.4086 memory: 32703 grad_norm: 19.3777 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1223 loss: 1.1223 2022/07/31 01:11:52 - mmengine - INFO - Epoch(train) [51][80/2505] lr: 5.0000e-06 eta: 5:29:07 time: 0.9246 data_time: 0.3438 memory: 32703 grad_norm: 19.3972 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9540 loss: 0.9540 2022/07/31 01:12:13 - mmengine - INFO - Epoch(train) [51][100/2505] lr: 5.0000e-06 eta: 5:28:48 time: 1.0628 data_time: 0.4920 memory: 32703 grad_norm: 18.8520 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0270 loss: 1.0270 2022/07/31 01:12:31 - mmengine - INFO - Epoch(train) [51][120/2505] lr: 5.0000e-06 eta: 5:28:28 time: 0.8888 data_time: 0.2826 memory: 32703 grad_norm: 18.9902 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9000 loss: 0.9000 2022/07/31 01:12:53 - mmengine - INFO - Epoch(train) [51][140/2505] lr: 5.0000e-06 eta: 5:28:08 time: 1.0660 data_time: 0.4594 memory: 32703 grad_norm: 19.0217 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.0272 loss: 1.0272 2022/07/31 01:13:10 - mmengine - INFO - Epoch(train) [51][160/2505] lr: 5.0000e-06 eta: 5:27:48 time: 0.8924 data_time: 0.3173 memory: 32703 grad_norm: 19.3820 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0367 loss: 1.0367 2022/07/31 01:13:31 - mmengine - INFO - Epoch(train) [51][180/2505] lr: 5.0000e-06 eta: 5:27:28 time: 1.0416 data_time: 0.4431 memory: 32703 grad_norm: 18.9095 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9840 loss: 0.9840 2022/07/31 01:13:49 - mmengine - INFO - Epoch(train) [51][200/2505] lr: 5.0000e-06 eta: 5:27:08 time: 0.8981 data_time: 0.3113 memory: 32703 grad_norm: 19.1920 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9947 loss: 0.9947 2022/07/31 01:14:10 - mmengine - INFO - Epoch(train) [51][220/2505] lr: 5.0000e-06 eta: 5:26:49 time: 1.0633 data_time: 0.4679 memory: 32703 grad_norm: 18.9285 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9571 loss: 0.9571 2022/07/31 01:14:29 - mmengine - INFO - Epoch(train) [51][240/2505] lr: 5.0000e-06 eta: 5:26:29 time: 0.9145 data_time: 0.3182 memory: 32703 grad_norm: 19.3712 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9955 loss: 0.9955 2022/07/31 01:14:49 - mmengine - INFO - Epoch(train) [51][260/2505] lr: 5.0000e-06 eta: 5:26:09 time: 1.0057 data_time: 0.4113 memory: 32703 grad_norm: 19.4240 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8563 loss: 0.8563 2022/07/31 01:15:07 - mmengine - INFO - Epoch(train) [51][280/2505] lr: 5.0000e-06 eta: 5:25:49 time: 0.8934 data_time: 0.3172 memory: 32703 grad_norm: 18.5966 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9935 loss: 0.9935 2022/07/31 01:15:28 - mmengine - INFO - Epoch(train) [51][300/2505] lr: 5.0000e-06 eta: 5:25:29 time: 1.0644 data_time: 0.4729 memory: 32703 grad_norm: 19.8649 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2587 loss: 1.2587 2022/07/31 01:15:47 - mmengine - INFO - Epoch(train) [51][320/2505] lr: 5.0000e-06 eta: 5:25:09 time: 0.9561 data_time: 0.3716 memory: 32703 grad_norm: 20.1502 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1150 loss: 1.1150 2022/07/31 01:16:08 - mmengine - INFO - Epoch(train) [51][340/2505] lr: 5.0000e-06 eta: 5:24:50 time: 1.0327 data_time: 0.4310 memory: 32703 grad_norm: 18.9590 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8811 loss: 0.8811 2022/07/31 01:16:26 - mmengine - INFO - Epoch(train) [51][360/2505] lr: 5.0000e-06 eta: 5:24:30 time: 0.9034 data_time: 0.2993 memory: 32703 grad_norm: 19.1301 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.8094 loss: 0.8094 2022/07/31 01:16:47 - mmengine - INFO - Epoch(train) [51][380/2505] lr: 5.0000e-06 eta: 5:24:10 time: 1.0320 data_time: 0.4289 memory: 32703 grad_norm: 19.6058 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2647 loss: 1.2647 2022/07/31 01:17:05 - mmengine - INFO - Epoch(train) [51][400/2505] lr: 5.0000e-06 eta: 5:23:50 time: 0.9177 data_time: 0.3110 memory: 32703 grad_norm: 18.8787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9173 loss: 0.9173 2022/07/31 01:17:26 - mmengine - INFO - Epoch(train) [51][420/2505] lr: 5.0000e-06 eta: 5:23:30 time: 1.0664 data_time: 0.4878 memory: 32703 grad_norm: 18.9287 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.8465 loss: 0.8465 2022/07/31 01:17:45 - mmengine - INFO - Epoch(train) [51][440/2505] lr: 5.0000e-06 eta: 5:23:11 time: 0.9335 data_time: 0.3336 memory: 32703 grad_norm: 18.6797 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8893 loss: 0.8893 2022/07/31 01:18:06 - mmengine - INFO - Epoch(train) [51][460/2505] lr: 5.0000e-06 eta: 5:22:51 time: 1.0703 data_time: 0.4822 memory: 32703 grad_norm: 19.2517 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8448 loss: 0.8448 2022/07/31 01:18:24 - mmengine - INFO - Epoch(train) [51][480/2505] lr: 5.0000e-06 eta: 5:22:31 time: 0.8646 data_time: 0.2561 memory: 32703 grad_norm: 18.4052 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9133 loss: 0.9133 2022/07/31 01:18:45 - mmengine - INFO - Epoch(train) [51][500/2505] lr: 5.0000e-06 eta: 5:22:11 time: 1.0940 data_time: 0.5044 memory: 32703 grad_norm: 18.5515 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9462 loss: 0.9462 2022/07/31 01:19:04 - mmengine - INFO - Epoch(train) [51][520/2505] lr: 5.0000e-06 eta: 5:21:51 time: 0.8975 data_time: 0.3028 memory: 32703 grad_norm: 19.9205 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9995 loss: 0.9995 2022/07/31 01:19:25 - mmengine - INFO - Epoch(train) [51][540/2505] lr: 5.0000e-06 eta: 5:21:32 time: 1.0804 data_time: 0.4992 memory: 32703 grad_norm: 19.4182 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9951 loss: 0.9951 2022/07/31 01:19:42 - mmengine - INFO - Epoch(train) [51][560/2505] lr: 5.0000e-06 eta: 5:21:12 time: 0.8639 data_time: 0.2724 memory: 32703 grad_norm: 18.7215 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7346 loss: 0.7346 2022/07/31 01:20:03 - mmengine - INFO - Epoch(train) [51][580/2505] lr: 5.0000e-06 eta: 5:20:52 time: 1.0503 data_time: 0.4759 memory: 32703 grad_norm: 19.4033 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8791 loss: 0.8791 2022/07/31 01:20:22 - mmengine - INFO - Epoch(train) [51][600/2505] lr: 5.0000e-06 eta: 5:20:32 time: 0.9294 data_time: 0.3407 memory: 32703 grad_norm: 18.9747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0662 loss: 1.0662 2022/07/31 01:20:44 - mmengine - INFO - Epoch(train) [51][620/2505] lr: 5.0000e-06 eta: 5:20:13 time: 1.0799 data_time: 0.4853 memory: 32703 grad_norm: 19.9173 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0561 loss: 1.0561 2022/07/31 01:21:01 - mmengine - INFO - Epoch(train) [51][640/2505] lr: 5.0000e-06 eta: 5:19:52 time: 0.8894 data_time: 0.3127 memory: 32703 grad_norm: 19.4454 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9612 loss: 0.9612 2022/07/31 01:21:23 - mmengine - INFO - Epoch(train) [51][660/2505] lr: 5.0000e-06 eta: 5:19:33 time: 1.0816 data_time: 0.4833 memory: 32703 grad_norm: 19.2536 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9447 loss: 0.9447 2022/07/31 01:21:41 - mmengine - INFO - Epoch(train) [51][680/2505] lr: 5.0000e-06 eta: 5:19:13 time: 0.8885 data_time: 0.2928 memory: 32703 grad_norm: 19.1017 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1827 loss: 1.1827 2022/07/31 01:22:02 - mmengine - INFO - Epoch(train) [51][700/2505] lr: 5.0000e-06 eta: 5:18:53 time: 1.0537 data_time: 0.4479 memory: 32703 grad_norm: 19.4364 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2366 loss: 1.2366 2022/07/31 01:22:19 - mmengine - INFO - Epoch(train) [51][720/2505] lr: 5.0000e-06 eta: 5:18:33 time: 0.8772 data_time: 0.2982 memory: 32703 grad_norm: 19.8758 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8019 loss: 0.8019 2022/07/31 01:22:41 - mmengine - INFO - Epoch(train) [51][740/2505] lr: 5.0000e-06 eta: 5:18:14 time: 1.0855 data_time: 0.4903 memory: 32703 grad_norm: 19.8629 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0852 loss: 1.0852 2022/07/31 01:22:50 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 01:22:59 - mmengine - INFO - Epoch(train) [51][760/2505] lr: 5.0000e-06 eta: 5:17:54 time: 0.9047 data_time: 0.3064 memory: 32703 grad_norm: 18.9565 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9630 loss: 0.9630 2022/07/31 01:23:20 - mmengine - INFO - Epoch(train) [51][780/2505] lr: 5.0000e-06 eta: 5:17:34 time: 1.0596 data_time: 0.4767 memory: 32703 grad_norm: 19.3325 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8481 loss: 0.8481 2022/07/31 01:23:38 - mmengine - INFO - Epoch(train) [51][800/2505] lr: 5.0000e-06 eta: 5:17:14 time: 0.8844 data_time: 0.3066 memory: 32703 grad_norm: 18.5210 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9366 loss: 0.9366 2022/07/31 01:23:58 - mmengine - INFO - Epoch(train) [51][820/2505] lr: 5.0000e-06 eta: 5:16:54 time: 1.0160 data_time: 0.4388 memory: 32703 grad_norm: 19.3041 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0534 loss: 1.0534 2022/07/31 01:24:17 - mmengine - INFO - Epoch(train) [51][840/2505] lr: 5.0000e-06 eta: 5:16:34 time: 0.9040 data_time: 0.3072 memory: 32703 grad_norm: 19.0329 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1147 loss: 1.1147 2022/07/31 01:24:37 - mmengine - INFO - Epoch(train) [51][860/2505] lr: 5.0000e-06 eta: 5:16:14 time: 1.0217 data_time: 0.4236 memory: 32703 grad_norm: 19.0256 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0709 loss: 1.0709 2022/07/31 01:24:55 - mmengine - INFO - Epoch(train) [51][880/2505] lr: 5.0000e-06 eta: 5:15:54 time: 0.9113 data_time: 0.3298 memory: 32703 grad_norm: 19.3041 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9501 loss: 0.9501 2022/07/31 01:25:17 - mmengine - INFO - Epoch(train) [51][900/2505] lr: 5.0000e-06 eta: 5:15:35 time: 1.0926 data_time: 0.5062 memory: 32703 grad_norm: 18.9313 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0408 loss: 1.0408 2022/07/31 01:25:36 - mmengine - INFO - Epoch(train) [51][920/2505] lr: 5.0000e-06 eta: 5:15:15 time: 0.9281 data_time: 0.3467 memory: 32703 grad_norm: 19.6419 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9959 loss: 0.9959 2022/07/31 01:25:56 - mmengine - INFO - Epoch(train) [51][940/2505] lr: 5.0000e-06 eta: 5:14:55 time: 1.0403 data_time: 0.4669 memory: 32703 grad_norm: 19.7179 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0067 loss: 1.0067 2022/07/31 01:26:16 - mmengine - INFO - Epoch(train) [51][960/2505] lr: 5.0000e-06 eta: 5:14:35 time: 0.9541 data_time: 0.3491 memory: 32703 grad_norm: 19.1950 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8733 loss: 0.8733 2022/07/31 01:26:37 - mmengine - INFO - Epoch(train) [51][980/2505] lr: 5.0000e-06 eta: 5:14:16 time: 1.0604 data_time: 0.4479 memory: 32703 grad_norm: 18.9787 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9871 loss: 0.9871 2022/07/31 01:26:54 - mmengine - INFO - Epoch(train) [51][1000/2505] lr: 5.0000e-06 eta: 5:13:56 time: 0.8763 data_time: 0.2850 memory: 32703 grad_norm: 19.4747 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1008 loss: 1.1008 2022/07/31 01:27:15 - mmengine - INFO - Epoch(train) [51][1020/2505] lr: 5.0000e-06 eta: 5:13:36 time: 1.0510 data_time: 0.4482 memory: 32703 grad_norm: 19.1645 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8712 loss: 0.8712 2022/07/31 01:27:34 - mmengine - INFO - Epoch(train) [51][1040/2505] lr: 5.0000e-06 eta: 5:13:16 time: 0.9260 data_time: 0.3192 memory: 32703 grad_norm: 18.6701 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8590 loss: 0.8590 2022/07/31 01:27:55 - mmengine - INFO - Epoch(train) [51][1060/2505] lr: 5.0000e-06 eta: 5:12:57 time: 1.0375 data_time: 0.4380 memory: 32703 grad_norm: 19.2506 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0657 loss: 1.0657 2022/07/31 01:28:13 - mmengine - INFO - Epoch(train) [51][1080/2505] lr: 5.0000e-06 eta: 5:12:37 time: 0.9380 data_time: 0.3173 memory: 32703 grad_norm: 19.0521 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9910 loss: 0.9910 2022/07/31 01:28:34 - mmengine - INFO - Epoch(train) [51][1100/2505] lr: 5.0000e-06 eta: 5:12:17 time: 1.0123 data_time: 0.4119 memory: 32703 grad_norm: 19.1507 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.8510 loss: 0.8510 2022/07/31 01:28:52 - mmengine - INFO - Epoch(train) [51][1120/2505] lr: 5.0000e-06 eta: 5:11:57 time: 0.8915 data_time: 0.3119 memory: 32703 grad_norm: 18.6144 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9162 loss: 0.9162 2022/07/31 01:29:13 - mmengine - INFO - Epoch(train) [51][1140/2505] lr: 5.0000e-06 eta: 5:11:37 time: 1.0970 data_time: 0.4524 memory: 32703 grad_norm: 18.5547 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8225 loss: 0.8225 2022/07/31 01:29:31 - mmengine - INFO - Epoch(train) [51][1160/2505] lr: 5.0000e-06 eta: 5:11:17 time: 0.8648 data_time: 0.2910 memory: 32703 grad_norm: 19.2163 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1903 loss: 1.1903 2022/07/31 01:29:52 - mmengine - INFO - Epoch(train) [51][1180/2505] lr: 5.0000e-06 eta: 5:10:58 time: 1.0554 data_time: 0.4473 memory: 32703 grad_norm: 18.7480 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9876 loss: 0.9876 2022/07/31 01:30:09 - mmengine - INFO - Epoch(train) [51][1200/2505] lr: 5.0000e-06 eta: 5:10:37 time: 0.8760 data_time: 0.2962 memory: 32703 grad_norm: 18.8922 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0153 loss: 1.0153 2022/07/31 01:30:31 - mmengine - INFO - Epoch(train) [51][1220/2505] lr: 5.0000e-06 eta: 5:10:18 time: 1.0859 data_time: 0.4864 memory: 32703 grad_norm: 19.8843 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9937 loss: 0.9937 2022/07/31 01:30:49 - mmengine - INFO - Epoch(train) [51][1240/2505] lr: 5.0000e-06 eta: 5:09:58 time: 0.8766 data_time: 0.2774 memory: 32703 grad_norm: 18.9470 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0781 loss: 1.0781 2022/07/31 01:31:09 - mmengine - INFO - Epoch(train) [51][1260/2505] lr: 5.0000e-06 eta: 5:09:38 time: 1.0326 data_time: 0.4306 memory: 32703 grad_norm: 19.3101 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9336 loss: 0.9336 2022/07/31 01:31:27 - mmengine - INFO - Epoch(train) [51][1280/2505] lr: 5.0000e-06 eta: 5:09:18 time: 0.8838 data_time: 0.3067 memory: 32703 grad_norm: 20.0604 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9757 loss: 0.9757 2022/07/31 01:31:49 - mmengine - INFO - Epoch(train) [51][1300/2505] lr: 5.0000e-06 eta: 5:08:59 time: 1.0986 data_time: 0.5042 memory: 32703 grad_norm: 19.5677 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9816 loss: 0.9816 2022/07/31 01:32:07 - mmengine - INFO - Epoch(train) [51][1320/2505] lr: 5.0000e-06 eta: 5:08:39 time: 0.9147 data_time: 0.3384 memory: 32703 grad_norm: 19.0620 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9137 loss: 0.9137 2022/07/31 01:32:28 - mmengine - INFO - Epoch(train) [51][1340/2505] lr: 5.0000e-06 eta: 5:08:19 time: 1.0521 data_time: 0.4371 memory: 32703 grad_norm: 19.3201 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0334 loss: 1.0334 2022/07/31 01:32:47 - mmengine - INFO - Epoch(train) [51][1360/2505] lr: 5.0000e-06 eta: 5:07:59 time: 0.9182 data_time: 0.3156 memory: 32703 grad_norm: 19.4437 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1910 loss: 1.1910 2022/07/31 01:33:07 - mmengine - INFO - Epoch(train) [51][1380/2505] lr: 5.0000e-06 eta: 5:07:39 time: 0.9906 data_time: 0.3999 memory: 32703 grad_norm: 19.8425 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0455 loss: 1.0455 2022/07/31 01:33:26 - mmengine - INFO - Epoch(train) [51][1400/2505] lr: 5.0000e-06 eta: 5:07:19 time: 0.9580 data_time: 0.3471 memory: 32703 grad_norm: 19.4115 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7483 loss: 0.7483 2022/07/31 01:33:46 - mmengine - INFO - Epoch(train) [51][1420/2505] lr: 5.0000e-06 eta: 5:07:00 time: 1.0316 data_time: 0.4578 memory: 32703 grad_norm: 18.2379 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9074 loss: 0.9074 2022/07/31 01:34:04 - mmengine - INFO - Epoch(train) [51][1440/2505] lr: 5.0000e-06 eta: 5:06:40 time: 0.9054 data_time: 0.3187 memory: 32703 grad_norm: 18.7854 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9274 loss: 0.9274 2022/07/31 01:34:26 - mmengine - INFO - Epoch(train) [51][1460/2505] lr: 5.0000e-06 eta: 5:06:20 time: 1.0629 data_time: 0.4591 memory: 32703 grad_norm: 19.0286 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7432 loss: 0.7432 2022/07/31 01:34:44 - mmengine - INFO - Epoch(train) [51][1480/2505] lr: 5.0000e-06 eta: 5:06:00 time: 0.9082 data_time: 0.3202 memory: 32703 grad_norm: 19.8328 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0346 loss: 1.0346 2022/07/31 01:35:06 - mmengine - INFO - Epoch(train) [51][1500/2505] lr: 5.0000e-06 eta: 5:05:41 time: 1.1106 data_time: 0.4989 memory: 32703 grad_norm: 18.2478 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0452 loss: 1.0452 2022/07/31 01:35:24 - mmengine - INFO - Epoch(train) [51][1520/2505] lr: 5.0000e-06 eta: 5:05:21 time: 0.9025 data_time: 0.2916 memory: 32703 grad_norm: 19.4060 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9259 loss: 0.9259 2022/07/31 01:35:45 - mmengine - INFO - Epoch(train) [51][1540/2505] lr: 5.0000e-06 eta: 5:05:01 time: 1.0315 data_time: 0.4212 memory: 32703 grad_norm: 19.2434 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9352 loss: 0.9352 2022/07/31 01:36:02 - mmengine - INFO - Epoch(train) [51][1560/2505] lr: 5.0000e-06 eta: 5:04:41 time: 0.8542 data_time: 0.2833 memory: 32703 grad_norm: 18.5571 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8007 loss: 0.8007 2022/07/31 01:36:23 - mmengine - INFO - Epoch(train) [51][1580/2505] lr: 5.0000e-06 eta: 5:04:21 time: 1.0565 data_time: 0.4503 memory: 32703 grad_norm: 20.1291 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0311 loss: 1.0311 2022/07/31 01:36:41 - mmengine - INFO - Epoch(train) [51][1600/2505] lr: 5.0000e-06 eta: 5:04:01 time: 0.8789 data_time: 0.2847 memory: 32703 grad_norm: 19.0534 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8520 loss: 0.8520 2022/07/31 01:37:03 - mmengine - INFO - Epoch(train) [51][1620/2505] lr: 5.0000e-06 eta: 5:03:42 time: 1.0937 data_time: 0.3723 memory: 32703 grad_norm: 19.5213 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0282 loss: 1.0282 2022/07/31 01:37:20 - mmengine - INFO - Epoch(train) [51][1640/2505] lr: 5.0000e-06 eta: 5:03:21 time: 0.8802 data_time: 0.2497 memory: 32703 grad_norm: 18.8303 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.9360 loss: 0.9360 2022/07/31 01:37:43 - mmengine - INFO - Epoch(train) [51][1660/2505] lr: 5.0000e-06 eta: 5:03:02 time: 1.1239 data_time: 0.3661 memory: 32703 grad_norm: 19.5812 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9935 loss: 0.9935 2022/07/31 01:38:00 - mmengine - INFO - Epoch(train) [51][1680/2505] lr: 5.0000e-06 eta: 5:02:42 time: 0.8589 data_time: 0.1834 memory: 32703 grad_norm: 19.4700 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0662 loss: 1.0662 2022/07/31 01:38:21 - mmengine - INFO - Epoch(train) [51][1700/2505] lr: 5.0000e-06 eta: 5:02:22 time: 1.0730 data_time: 0.4290 memory: 32703 grad_norm: 18.9000 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0539 loss: 1.0539 2022/07/31 01:38:40 - mmengine - INFO - Epoch(train) [51][1720/2505] lr: 5.0000e-06 eta: 5:02:02 time: 0.9302 data_time: 0.2573 memory: 32703 grad_norm: 18.9933 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1457 loss: 1.1457 2022/07/31 01:39:01 - mmengine - INFO - Epoch(train) [51][1740/2505] lr: 5.0000e-06 eta: 5:01:43 time: 1.0514 data_time: 0.4020 memory: 32703 grad_norm: 19.1040 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1612 loss: 1.1612 2022/07/31 01:39:10 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 01:39:19 - mmengine - INFO - Epoch(train) [51][1760/2505] lr: 5.0000e-06 eta: 5:01:23 time: 0.8837 data_time: 0.2950 memory: 32703 grad_norm: 20.0071 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8548 loss: 0.8548 2022/07/31 01:39:40 - mmengine - INFO - Epoch(train) [51][1780/2505] lr: 5.0000e-06 eta: 5:01:03 time: 1.0505 data_time: 0.4620 memory: 32703 grad_norm: 18.8479 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0556 loss: 1.0556 2022/07/31 01:39:58 - mmengine - INFO - Epoch(train) [51][1800/2505] lr: 5.0000e-06 eta: 5:00:43 time: 0.9132 data_time: 0.3121 memory: 32703 grad_norm: 18.4716 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9265 loss: 0.9265 2022/07/31 01:40:19 - mmengine - INFO - Epoch(train) [51][1820/2505] lr: 5.0000e-06 eta: 5:00:24 time: 1.0706 data_time: 0.4707 memory: 32703 grad_norm: 19.4420 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0776 loss: 1.0776 2022/07/31 01:40:37 - mmengine - INFO - Epoch(train) [51][1840/2505] lr: 5.0000e-06 eta: 5:00:03 time: 0.8692 data_time: 0.2712 memory: 32703 grad_norm: 19.2723 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8936 loss: 0.8936 2022/07/31 01:40:58 - mmengine - INFO - Epoch(train) [51][1860/2505] lr: 5.0000e-06 eta: 4:59:44 time: 1.0780 data_time: 0.4971 memory: 32703 grad_norm: 18.6817 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9809 loss: 0.9809 2022/07/31 01:41:16 - mmengine - INFO - Epoch(train) [51][1880/2505] lr: 5.0000e-06 eta: 4:59:24 time: 0.8640 data_time: 0.2544 memory: 32703 grad_norm: 20.0541 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0395 loss: 1.0395 2022/07/31 01:41:37 - mmengine - INFO - Epoch(train) [51][1900/2505] lr: 5.0000e-06 eta: 4:59:04 time: 1.0734 data_time: 0.4761 memory: 32703 grad_norm: 19.3228 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0769 loss: 1.0769 2022/07/31 01:41:55 - mmengine - INFO - Epoch(train) [51][1920/2505] lr: 5.0000e-06 eta: 4:58:44 time: 0.8891 data_time: 0.2891 memory: 32703 grad_norm: 19.4729 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9401 loss: 0.9401 2022/07/31 01:42:17 - mmengine - INFO - Epoch(train) [51][1940/2505] lr: 5.0000e-06 eta: 4:58:25 time: 1.1081 data_time: 0.5237 memory: 32703 grad_norm: 19.5212 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0217 loss: 1.0217 2022/07/31 01:42:35 - mmengine - INFO - Epoch(train) [51][1960/2505] lr: 5.0000e-06 eta: 4:58:05 time: 0.9072 data_time: 0.3274 memory: 32703 grad_norm: 18.0457 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0259 loss: 1.0259 2022/07/31 01:42:56 - mmengine - INFO - Epoch(train) [51][1980/2505] lr: 5.0000e-06 eta: 4:57:45 time: 1.0528 data_time: 0.0548 memory: 32703 grad_norm: 18.7406 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.6977 loss: 0.6977 2022/07/31 01:43:13 - mmengine - INFO - Epoch(train) [51][2000/2505] lr: 5.0000e-06 eta: 4:57:25 time: 0.8471 data_time: 0.0323 memory: 32703 grad_norm: 17.9882 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9729 loss: 0.9729 2022/07/31 01:43:34 - mmengine - INFO - Epoch(train) [51][2020/2505] lr: 5.0000e-06 eta: 4:57:05 time: 1.0542 data_time: 0.0278 memory: 32703 grad_norm: 18.8825 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8346 loss: 0.8346 2022/07/31 01:43:53 - mmengine - INFO - Epoch(train) [51][2040/2505] lr: 5.0000e-06 eta: 4:56:45 time: 0.9189 data_time: 0.0290 memory: 32703 grad_norm: 19.1583 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0180 loss: 1.0180 2022/07/31 01:44:15 - mmengine - INFO - Epoch(train) [51][2060/2505] lr: 5.0000e-06 eta: 4:56:26 time: 1.1029 data_time: 0.0282 memory: 32703 grad_norm: 19.4474 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8486 loss: 0.8486 2022/07/31 01:44:33 - mmengine - INFO - Epoch(train) [51][2080/2505] lr: 5.0000e-06 eta: 4:56:06 time: 0.8894 data_time: 0.0370 memory: 32703 grad_norm: 19.0883 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1349 loss: 1.1349 2022/07/31 01:44:54 - mmengine - INFO - Epoch(train) [51][2100/2505] lr: 5.0000e-06 eta: 4:55:46 time: 1.0824 data_time: 0.0305 memory: 32703 grad_norm: 18.1333 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1398 loss: 1.1398 2022/07/31 01:45:12 - mmengine - INFO - Epoch(train) [51][2120/2505] lr: 5.0000e-06 eta: 4:55:26 time: 0.8832 data_time: 0.0332 memory: 32703 grad_norm: 18.9870 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9736 loss: 0.9736 2022/07/31 01:45:34 - mmengine - INFO - Epoch(train) [51][2140/2505] lr: 5.0000e-06 eta: 4:55:07 time: 1.0921 data_time: 0.0338 memory: 32703 grad_norm: 19.4856 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0457 loss: 1.0457 2022/07/31 01:45:52 - mmengine - INFO - Epoch(train) [51][2160/2505] lr: 5.0000e-06 eta: 4:54:47 time: 0.9075 data_time: 0.0358 memory: 32703 grad_norm: 19.0890 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9962 loss: 0.9962 2022/07/31 01:46:13 - mmengine - INFO - Epoch(train) [51][2180/2505] lr: 5.0000e-06 eta: 4:54:27 time: 1.0515 data_time: 0.0264 memory: 32703 grad_norm: 18.4977 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8259 loss: 0.8259 2022/07/31 01:46:31 - mmengine - INFO - Epoch(train) [51][2200/2505] lr: 5.0000e-06 eta: 4:54:07 time: 0.8858 data_time: 0.0346 memory: 32703 grad_norm: 19.5708 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9484 loss: 0.9484 2022/07/31 01:46:51 - mmengine - INFO - Epoch(train) [51][2220/2505] lr: 5.0000e-06 eta: 4:53:47 time: 1.0399 data_time: 0.0277 memory: 32703 grad_norm: 18.6211 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0133 loss: 1.0133 2022/07/31 01:47:09 - mmengine - INFO - Epoch(train) [51][2240/2505] lr: 5.0000e-06 eta: 4:53:27 time: 0.8815 data_time: 0.0294 memory: 32703 grad_norm: 19.5363 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0629 loss: 1.0629 2022/07/31 01:47:30 - mmengine - INFO - Epoch(train) [51][2260/2505] lr: 5.0000e-06 eta: 4:53:08 time: 1.0676 data_time: 0.0295 memory: 32703 grad_norm: 19.6772 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9172 loss: 0.9172 2022/07/31 01:47:49 - mmengine - INFO - Epoch(train) [51][2280/2505] lr: 5.0000e-06 eta: 4:52:48 time: 0.9327 data_time: 0.0277 memory: 32703 grad_norm: 18.6956 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7530 loss: 0.7530 2022/07/31 01:48:09 - mmengine - INFO - Epoch(train) [51][2300/2505] lr: 5.0000e-06 eta: 4:52:28 time: 0.9854 data_time: 0.0348 memory: 32703 grad_norm: 18.6539 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0048 loss: 1.0048 2022/07/31 01:48:28 - mmengine - INFO - Epoch(train) [51][2320/2505] lr: 5.0000e-06 eta: 4:52:08 time: 0.9416 data_time: 0.0262 memory: 32703 grad_norm: 18.6960 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9864 loss: 0.9864 2022/07/31 01:48:48 - mmengine - INFO - Epoch(train) [51][2340/2505] lr: 5.0000e-06 eta: 4:51:48 time: 1.0011 data_time: 0.0301 memory: 32703 grad_norm: 18.9831 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8270 loss: 0.8270 2022/07/31 01:49:06 - mmengine - INFO - Epoch(train) [51][2360/2505] lr: 5.0000e-06 eta: 4:51:28 time: 0.9274 data_time: 0.0323 memory: 32703 grad_norm: 18.9994 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8385 loss: 0.8385 2022/07/31 01:49:27 - mmengine - INFO - Epoch(train) [51][2380/2505] lr: 5.0000e-06 eta: 4:51:09 time: 1.0164 data_time: 0.0323 memory: 32703 grad_norm: 19.6938 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9949 loss: 0.9949 2022/07/31 01:49:46 - mmengine - INFO - Epoch(train) [51][2400/2505] lr: 5.0000e-06 eta: 4:50:49 time: 0.9589 data_time: 0.0276 memory: 32703 grad_norm: 18.6765 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7947 loss: 0.7947 2022/07/31 01:50:06 - mmengine - INFO - Epoch(train) [51][2420/2505] lr: 5.0000e-06 eta: 4:50:29 time: 1.0247 data_time: 0.0274 memory: 32703 grad_norm: 19.5270 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0960 loss: 1.0960 2022/07/31 01:50:24 - mmengine - INFO - Epoch(train) [51][2440/2505] lr: 5.0000e-06 eta: 4:50:09 time: 0.8995 data_time: 0.0341 memory: 32703 grad_norm: 18.7989 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9350 loss: 0.9350 2022/07/31 01:50:46 - mmengine - INFO - Epoch(train) [51][2460/2505] lr: 5.0000e-06 eta: 4:49:50 time: 1.1045 data_time: 0.0281 memory: 32703 grad_norm: 19.2423 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.1130 loss: 1.1130 2022/07/31 01:51:04 - mmengine - INFO - Epoch(train) [51][2480/2505] lr: 5.0000e-06 eta: 4:49:29 time: 0.8581 data_time: 0.0344 memory: 32703 grad_norm: 20.3504 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0029 loss: 1.0029 2022/07/31 01:51:22 - mmengine - INFO - Epoch(train) [51][2500/2505] lr: 5.0000e-06 eta: 4:49:09 time: 0.9239 data_time: 0.0263 memory: 32703 grad_norm: 19.1491 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0105 loss: 1.0105 2022/07/31 01:51:25 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 01:51:25 - mmengine - INFO - Epoch(train) [51][2505/2505] lr: 5.0000e-06 eta: 4:49:09 time: 0.7553 data_time: 0.0201 memory: 32703 grad_norm: 19.1988 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8780 loss: 0.8780 2022/07/31 01:51:27 - mmengine - INFO - Epoch(val) [51][20/2475] eta: 0:05:13 time: 0.1276 data_time: 0.0959 memory: 817 2022/07/31 01:51:29 - mmengine - INFO - Epoch(val) [51][40/2475] eta: 0:03:03 time: 0.0753 data_time: 0.0444 memory: 817 2022/07/31 01:51:31 - mmengine - INFO - Epoch(val) [51][60/2475] eta: 0:03:59 time: 0.0990 data_time: 0.0663 memory: 817 2022/07/31 01:51:32 - mmengine - INFO - Epoch(val) [51][80/2475] eta: 0:02:44 time: 0.0687 data_time: 0.0381 memory: 817 2022/07/31 01:51:34 - mmengine - INFO - Epoch(val) [51][100/2475] eta: 0:03:33 time: 0.0898 data_time: 0.0570 memory: 817 2022/07/31 01:51:36 - mmengine - INFO - Epoch(val) [51][120/2475] eta: 0:03:14 time: 0.0824 data_time: 0.0481 memory: 817 2022/07/31 01:51:37 - mmengine - INFO - Epoch(val) [51][140/2475] eta: 0:02:38 time: 0.0679 data_time: 0.0363 memory: 817 2022/07/31 01:51:39 - mmengine - INFO - Epoch(val) [51][160/2475] eta: 0:02:53 time: 0.0751 data_time: 0.0449 memory: 817 2022/07/31 01:51:40 - mmengine - INFO - Epoch(val) [51][180/2475] eta: 0:03:23 time: 0.0888 data_time: 0.0568 memory: 817 2022/07/31 01:51:42 - mmengine - INFO - Epoch(val) [51][200/2475] eta: 0:02:29 time: 0.0656 data_time: 0.0341 memory: 817 2022/07/31 01:51:43 - mmengine - INFO - Epoch(val) [51][220/2475] eta: 0:02:40 time: 0.0714 data_time: 0.0383 memory: 817 2022/07/31 01:51:45 - mmengine - INFO - Epoch(val) [51][240/2475] eta: 0:03:07 time: 0.0840 data_time: 0.0508 memory: 817 2022/07/31 01:51:47 - mmengine - INFO - Epoch(val) [51][260/2475] eta: 0:03:13 time: 0.0874 data_time: 0.0564 memory: 817 2022/07/31 01:51:48 - mmengine - INFO - Epoch(val) [51][280/2475] eta: 0:02:22 time: 0.0650 data_time: 0.0334 memory: 817 2022/07/31 01:51:50 - mmengine - INFO - Epoch(val) [51][300/2475] eta: 0:02:55 time: 0.0809 data_time: 0.0495 memory: 817 2022/07/31 01:51:51 - mmengine - INFO - Epoch(val) [51][320/2475] eta: 0:02:54 time: 0.0808 data_time: 0.0492 memory: 817 2022/07/31 01:51:53 - mmengine - INFO - Epoch(val) [51][340/2475] eta: 0:02:54 time: 0.0819 data_time: 0.0499 memory: 817 2022/07/31 01:51:55 - mmengine - INFO - Epoch(val) [51][360/2475] eta: 0:03:05 time: 0.0875 data_time: 0.0551 memory: 817 2022/07/31 01:51:56 - mmengine - INFO - Epoch(val) [51][380/2475] eta: 0:01:53 time: 0.0544 data_time: 0.0229 memory: 817 2022/07/31 01:51:58 - mmengine - INFO - Epoch(val) [51][400/2475] eta: 0:03:11 time: 0.0924 data_time: 0.0600 memory: 817 2022/07/31 01:51:59 - mmengine - INFO - Epoch(val) [51][420/2475] eta: 0:02:29 time: 0.0728 data_time: 0.0418 memory: 817 2022/07/31 01:52:01 - mmengine - INFO - Epoch(val) [51][440/2475] eta: 0:03:19 time: 0.0983 data_time: 0.0678 memory: 817 2022/07/31 01:52:02 - mmengine - INFO - Epoch(val) [51][460/2475] eta: 0:01:30 time: 0.0447 data_time: 0.0129 memory: 817 2022/07/31 01:52:04 - mmengine - INFO - Epoch(val) [51][480/2475] eta: 0:02:55 time: 0.0878 data_time: 0.0565 memory: 817 2022/07/31 01:52:05 - mmengine - INFO - Epoch(val) [51][500/2475] eta: 0:02:21 time: 0.0715 data_time: 0.0354 memory: 817 2022/07/31 01:52:07 - mmengine - INFO - Epoch(val) [51][520/2475] eta: 0:02:31 time: 0.0774 data_time: 0.0455 memory: 817 2022/07/31 01:52:08 - mmengine - INFO - Epoch(val) [51][540/2475] eta: 0:02:43 time: 0.0844 data_time: 0.0530 memory: 817 2022/07/31 01:52:10 - mmengine - INFO - Epoch(val) [51][560/2475] eta: 0:02:30 time: 0.0786 data_time: 0.0483 memory: 817 2022/07/31 01:52:12 - mmengine - INFO - Epoch(val) [51][580/2475] eta: 0:02:38 time: 0.0838 data_time: 0.0525 memory: 817 2022/07/31 01:52:13 - mmengine - INFO - Epoch(val) [51][600/2475] eta: 0:02:37 time: 0.0838 data_time: 0.0511 memory: 817 2022/07/31 01:52:15 - mmengine - INFO - Epoch(val) [51][620/2475] eta: 0:02:32 time: 0.0820 data_time: 0.0509 memory: 817 2022/07/31 01:52:17 - mmengine - INFO - Epoch(val) [51][640/2475] eta: 0:02:35 time: 0.0848 data_time: 0.0538 memory: 817 2022/07/31 01:52:18 - mmengine - INFO - Epoch(val) [51][660/2475] eta: 0:02:28 time: 0.0820 data_time: 0.0508 memory: 817 2022/07/31 01:52:20 - mmengine - INFO - Epoch(val) [51][680/2475] eta: 0:02:33 time: 0.0857 data_time: 0.0523 memory: 817 2022/07/31 01:52:22 - mmengine - INFO - Epoch(val) [51][700/2475] eta: 0:02:19 time: 0.0784 data_time: 0.0462 memory: 817 2022/07/31 01:52:23 - mmengine - INFO - Epoch(val) [51][720/2475] eta: 0:02:26 time: 0.0837 data_time: 0.0528 memory: 817 2022/07/31 01:52:25 - mmengine - INFO - Epoch(val) [51][740/2475] eta: 0:02:30 time: 0.0866 data_time: 0.0463 memory: 817 2022/07/31 01:52:26 - mmengine - INFO - Epoch(val) [51][760/2475] eta: 0:01:58 time: 0.0691 data_time: 0.0366 memory: 817 2022/07/31 01:52:28 - mmengine - INFO - Epoch(val) [51][780/2475] eta: 0:02:35 time: 0.0916 data_time: 0.0591 memory: 817 2022/07/31 01:52:30 - mmengine - INFO - Epoch(val) [51][800/2475] eta: 0:02:07 time: 0.0762 data_time: 0.0439 memory: 817 2022/07/31 01:52:31 - mmengine - INFO - Epoch(val) [51][820/2475] eta: 0:02:01 time: 0.0734 data_time: 0.0406 memory: 817 2022/07/31 01:52:33 - mmengine - INFO - Epoch(val) [51][840/2475] eta: 0:02:17 time: 0.0839 data_time: 0.0531 memory: 817 2022/07/31 01:52:34 - mmengine - INFO - Epoch(val) [51][860/2475] eta: 0:01:46 time: 0.0662 data_time: 0.0333 memory: 817 2022/07/31 01:52:36 - mmengine - INFO - Epoch(val) [51][880/2475] eta: 0:02:01 time: 0.0763 data_time: 0.0420 memory: 817 2022/07/31 01:52:37 - mmengine - INFO - Epoch(val) [51][900/2475] eta: 0:02:16 time: 0.0865 data_time: 0.0544 memory: 817 2022/07/31 01:52:39 - mmengine - INFO - Epoch(val) [51][920/2475] eta: 0:02:22 time: 0.0916 data_time: 0.0609 memory: 817 2022/07/31 01:52:41 - mmengine - INFO - Epoch(val) [51][940/2475] eta: 0:01:51 time: 0.0725 data_time: 0.0411 memory: 817 2022/07/31 01:52:43 - mmengine - INFO - Epoch(val) [51][960/2475] eta: 0:02:30 time: 0.0995 data_time: 0.0674 memory: 817 2022/07/31 01:52:44 - mmengine - INFO - Epoch(val) [51][980/2475] eta: 0:01:38 time: 0.0661 data_time: 0.0364 memory: 817 2022/07/31 01:52:46 - mmengine - INFO - Epoch(val) [51][1000/2475] eta: 0:02:14 time: 0.0914 data_time: 0.0603 memory: 817 2022/07/31 01:52:47 - mmengine - INFO - Epoch(val) [51][1020/2475] eta: 0:01:24 time: 0.0578 data_time: 0.0270 memory: 817 2022/07/31 01:52:49 - mmengine - INFO - Epoch(val) [51][1040/2475] eta: 0:02:10 time: 0.0912 data_time: 0.0588 memory: 817 2022/07/31 01:52:50 - mmengine - INFO - Epoch(val) [51][1060/2475] eta: 0:01:38 time: 0.0695 data_time: 0.0379 memory: 817 2022/07/31 01:52:52 - mmengine - INFO - Epoch(val) [51][1080/2475] eta: 0:02:11 time: 0.0944 data_time: 0.0621 memory: 817 2022/07/31 01:52:54 - mmengine - INFO - Epoch(val) [51][1100/2475] eta: 0:01:36 time: 0.0700 data_time: 0.0392 memory: 817 2022/07/31 01:52:55 - mmengine - INFO - Epoch(val) [51][1120/2475] eta: 0:01:53 time: 0.0837 data_time: 0.0515 memory: 817 2022/07/31 01:52:57 - mmengine - INFO - Epoch(val) [51][1140/2475] eta: 0:01:35 time: 0.0712 data_time: 0.0400 memory: 817 2022/07/31 01:52:58 - mmengine - INFO - Epoch(val) [51][1160/2475] eta: 0:01:55 time: 0.0880 data_time: 0.0581 memory: 817 2022/07/31 01:53:00 - mmengine - INFO - Epoch(val) [51][1180/2475] eta: 0:01:31 time: 0.0708 data_time: 0.0400 memory: 817 2022/07/31 01:53:02 - mmengine - INFO - Epoch(val) [51][1200/2475] eta: 0:01:53 time: 0.0890 data_time: 0.0548 memory: 817 2022/07/31 01:53:03 - mmengine - INFO - Epoch(val) [51][1220/2475] eta: 0:01:25 time: 0.0680 data_time: 0.0348 memory: 817 2022/07/31 01:53:05 - mmengine - INFO - Epoch(val) [51][1240/2475] eta: 0:01:56 time: 0.0940 data_time: 0.0545 memory: 817 2022/07/31 01:53:06 - mmengine - INFO - Epoch(val) [51][1260/2475] eta: 0:01:26 time: 0.0714 data_time: 0.0394 memory: 817 2022/07/31 01:53:08 - mmengine - INFO - Epoch(val) [51][1280/2475] eta: 0:01:50 time: 0.0926 data_time: 0.0617 memory: 817 2022/07/31 01:53:10 - mmengine - INFO - Epoch(val) [51][1300/2475] eta: 0:01:49 time: 0.0928 data_time: 0.0609 memory: 817 2022/07/31 01:53:12 - mmengine - INFO - Epoch(val) [51][1320/2475] eta: 0:01:39 time: 0.0859 data_time: 0.0535 memory: 817 2022/07/31 01:53:13 - mmengine - INFO - Epoch(val) [51][1340/2475] eta: 0:01:14 time: 0.0655 data_time: 0.0329 memory: 817 2022/07/31 01:53:15 - mmengine - INFO - Epoch(val) [51][1360/2475] eta: 0:01:30 time: 0.0808 data_time: 0.0485 memory: 817 2022/07/31 01:53:16 - mmengine - INFO - Epoch(val) [51][1380/2475] eta: 0:01:35 time: 0.0874 data_time: 0.0548 memory: 817 2022/07/31 01:53:18 - mmengine - INFO - Epoch(val) [51][1400/2475] eta: 0:01:20 time: 0.0752 data_time: 0.0433 memory: 817 2022/07/31 01:53:20 - mmengine - INFO - Epoch(val) [51][1420/2475] eta: 0:01:32 time: 0.0878 data_time: 0.0561 memory: 817 2022/07/31 01:53:22 - mmengine - INFO - Epoch(val) [51][1440/2475] eta: 0:01:37 time: 0.0941 data_time: 0.0626 memory: 817 2022/07/31 01:53:23 - mmengine - INFO - Epoch(val) [51][1460/2475] eta: 0:01:07 time: 0.0665 data_time: 0.0338 memory: 817 2022/07/31 01:53:25 - mmengine - INFO - Epoch(val) [51][1480/2475] eta: 0:01:32 time: 0.0926 data_time: 0.0519 memory: 817 2022/07/31 01:53:26 - mmengine - INFO - Epoch(val) [51][1500/2475] eta: 0:01:08 time: 0.0699 data_time: 0.0364 memory: 817 2022/07/31 01:53:28 - mmengine - INFO - Epoch(val) [51][1520/2475] eta: 0:01:16 time: 0.0798 data_time: 0.0470 memory: 817 2022/07/31 01:53:29 - mmengine - INFO - Epoch(val) [51][1540/2475] eta: 0:01:05 time: 0.0701 data_time: 0.0380 memory: 817 2022/07/31 01:53:31 - mmengine - INFO - Epoch(val) [51][1560/2475] eta: 0:01:34 time: 0.1035 data_time: 0.0724 memory: 817 2022/07/31 01:53:33 - mmengine - INFO - Epoch(val) [51][1580/2475] eta: 0:00:57 time: 0.0641 data_time: 0.0309 memory: 817 2022/07/31 01:53:34 - mmengine - INFO - Epoch(val) [51][1600/2475] eta: 0:01:14 time: 0.0846 data_time: 0.0500 memory: 817 2022/07/31 01:53:36 - mmengine - INFO - Epoch(val) [51][1620/2475] eta: 0:01:17 time: 0.0902 data_time: 0.0583 memory: 817 2022/07/31 01:53:38 - mmengine - INFO - Epoch(val) [51][1640/2475] eta: 0:01:08 time: 0.0826 data_time: 0.0514 memory: 817 2022/07/31 01:53:39 - mmengine - INFO - Epoch(val) [51][1660/2475] eta: 0:00:53 time: 0.0661 data_time: 0.0322 memory: 817 2022/07/31 01:53:41 - mmengine - INFO - Epoch(val) [51][1680/2475] eta: 0:01:14 time: 0.0937 data_time: 0.0609 memory: 817 2022/07/31 01:53:42 - mmengine - INFO - Epoch(val) [51][1700/2475] eta: 0:00:55 time: 0.0710 data_time: 0.0399 memory: 817 2022/07/31 01:53:44 - mmengine - INFO - Epoch(val) [51][1720/2475] eta: 0:01:14 time: 0.0983 data_time: 0.0659 memory: 817 2022/07/31 01:53:45 - mmengine - INFO - Epoch(val) [51][1740/2475] eta: 0:00:43 time: 0.0593 data_time: 0.0178 memory: 817 2022/07/31 01:53:47 - mmengine - INFO - Epoch(val) [51][1760/2475] eta: 0:01:07 time: 0.0944 data_time: 0.0637 memory: 817 2022/07/31 01:53:49 - mmengine - INFO - Epoch(val) [51][1780/2475] eta: 0:00:53 time: 0.0776 data_time: 0.0464 memory: 817 2022/07/31 01:53:51 - mmengine - INFO - Epoch(val) [51][1800/2475] eta: 0:01:00 time: 0.0897 data_time: 0.0568 memory: 817 2022/07/31 01:53:52 - mmengine - INFO - Epoch(val) [51][1820/2475] eta: 0:00:45 time: 0.0700 data_time: 0.0379 memory: 817 2022/07/31 01:53:54 - mmengine - INFO - Epoch(val) [51][1840/2475] eta: 0:00:55 time: 0.0876 data_time: 0.0571 memory: 817 2022/07/31 01:53:55 - mmengine - INFO - Epoch(val) [51][1860/2475] eta: 0:00:41 time: 0.0680 data_time: 0.0380 memory: 817 2022/07/31 01:53:57 - mmengine - INFO - Epoch(val) [51][1880/2475] eta: 0:00:57 time: 0.0967 data_time: 0.0640 memory: 817 2022/07/31 01:53:59 - mmengine - INFO - Epoch(val) [51][1900/2475] eta: 0:00:40 time: 0.0700 data_time: 0.0395 memory: 817 2022/07/31 01:54:00 - mmengine - INFO - Epoch(val) [51][1920/2475] eta: 0:00:47 time: 0.0849 data_time: 0.0519 memory: 817 2022/07/31 01:54:02 - mmengine - INFO - Epoch(val) [51][1940/2475] eta: 0:00:39 time: 0.0747 data_time: 0.0430 memory: 817 2022/07/31 01:54:04 - mmengine - INFO - Epoch(val) [51][1960/2475] eta: 0:00:45 time: 0.0893 data_time: 0.0561 memory: 817 2022/07/31 01:54:05 - mmengine - INFO - Epoch(val) [51][1980/2475] eta: 0:00:34 time: 0.0702 data_time: 0.0277 memory: 817 2022/07/31 01:54:07 - mmengine - INFO - Epoch(val) [51][2000/2475] eta: 0:00:39 time: 0.0827 data_time: 0.0514 memory: 817 2022/07/31 01:54:08 - mmengine - INFO - Epoch(val) [51][2020/2475] eta: 0:00:34 time: 0.0758 data_time: 0.0437 memory: 817 2022/07/31 01:54:10 - mmengine - INFO - Epoch(val) [51][2040/2475] eta: 0:00:32 time: 0.0739 data_time: 0.0411 memory: 817 2022/07/31 01:54:11 - mmengine - INFO - Epoch(val) [51][2060/2475] eta: 0:00:34 time: 0.0825 data_time: 0.0521 memory: 817 2022/07/31 01:54:13 - mmengine - INFO - Epoch(val) [51][2080/2475] eta: 0:00:33 time: 0.0836 data_time: 0.0515 memory: 817 2022/07/31 01:54:14 - mmengine - INFO - Epoch(val) [51][2100/2475] eta: 0:00:26 time: 0.0712 data_time: 0.0360 memory: 817 2022/07/31 01:54:16 - mmengine - INFO - Epoch(val) [51][2120/2475] eta: 0:00:30 time: 0.0847 data_time: 0.0546 memory: 817 2022/07/31 01:54:18 - mmengine - INFO - Epoch(val) [51][2140/2475] eta: 0:00:27 time: 0.0814 data_time: 0.0487 memory: 817 2022/07/31 01:54:19 - mmengine - INFO - Epoch(val) [51][2160/2475] eta: 0:00:24 time: 0.0767 data_time: 0.0458 memory: 817 2022/07/31 01:54:21 - mmengine - INFO - Epoch(val) [51][2180/2475] eta: 0:00:24 time: 0.0816 data_time: 0.0508 memory: 817 2022/07/31 01:54:23 - mmengine - INFO - Epoch(val) [51][2200/2475] eta: 0:00:21 time: 0.0791 data_time: 0.0478 memory: 817 2022/07/31 01:54:24 - mmengine - INFO - Epoch(val) [51][2220/2475] eta: 0:00:23 time: 0.0915 data_time: 0.0602 memory: 817 2022/07/31 01:54:26 - mmengine - INFO - Epoch(val) [51][2240/2475] eta: 0:00:17 time: 0.0757 data_time: 0.0359 memory: 817 2022/07/31 01:54:28 - mmengine - INFO - Epoch(val) [51][2260/2475] eta: 0:00:19 time: 0.0927 data_time: 0.0612 memory: 817 2022/07/31 01:54:29 - mmengine - INFO - Epoch(val) [51][2280/2475] eta: 0:00:12 time: 0.0636 data_time: 0.0326 memory: 817 2022/07/31 01:54:31 - mmengine - INFO - Epoch(val) [51][2300/2475] eta: 0:00:15 time: 0.0883 data_time: 0.0575 memory: 817 2022/07/31 01:54:32 - mmengine - INFO - Epoch(val) [51][2320/2475] eta: 0:00:12 time: 0.0777 data_time: 0.0461 memory: 817 2022/07/31 01:54:34 - mmengine - INFO - Epoch(val) [51][2340/2475] eta: 0:00:11 time: 0.0857 data_time: 0.0554 memory: 817 2022/07/31 01:54:36 - mmengine - INFO - Epoch(val) [51][2360/2475] eta: 0:00:08 time: 0.0715 data_time: 0.0398 memory: 817 2022/07/31 01:54:37 - mmengine - INFO - Epoch(val) [51][2380/2475] eta: 0:00:09 time: 0.0949 data_time: 0.0644 memory: 817 2022/07/31 01:54:39 - mmengine - INFO - Epoch(val) [51][2400/2475] eta: 0:00:04 time: 0.0649 data_time: 0.0345 memory: 817 2022/07/31 01:54:40 - mmengine - INFO - Epoch(val) [51][2420/2475] eta: 0:00:04 time: 0.0791 data_time: 0.0476 memory: 817 2022/07/31 01:54:42 - mmengine - INFO - Epoch(val) [51][2440/2475] eta: 0:00:03 time: 0.0927 data_time: 0.0610 memory: 817 2022/07/31 01:54:44 - mmengine - INFO - Epoch(val) [51][2460/2475] eta: 0:00:01 time: 0.0802 data_time: 0.0494 memory: 817 2022/07/31 01:54:47 - mmengine - INFO - Epoch(val) [51][2475/2475] acc/top1: 0.7643 acc/top5: 0.9224 acc/mean1: 0.7642 2022/07/31 01:54:47 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_46.pth is removed 2022/07/31 01:54:49 - mmengine - INFO - The best checkpoint with 0.7643 acc/top1 at 52 epoch is saved to best_acc/top1_epoch_52.pth. 2022/07/31 01:55:16 - mmengine - INFO - Epoch(train) [52][20/2505] lr: 5.0000e-06 eta: 4:48:45 time: 1.3239 data_time: 0.7250 memory: 32703 grad_norm: 19.7899 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9243 loss: 0.9243 2022/07/31 01:55:33 - mmengine - INFO - Epoch(train) [52][40/2505] lr: 5.0000e-06 eta: 4:48:25 time: 0.8826 data_time: 0.3015 memory: 32703 grad_norm: 19.5437 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0170 loss: 1.0170 2022/07/31 01:55:54 - mmengine - INFO - Epoch(train) [52][60/2505] lr: 5.0000e-06 eta: 4:48:05 time: 1.0628 data_time: 0.4915 memory: 32703 grad_norm: 18.8642 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0323 loss: 1.0323 2022/07/31 01:56:13 - mmengine - INFO - Epoch(train) [52][80/2505] lr: 5.0000e-06 eta: 4:47:45 time: 0.9312 data_time: 0.3583 memory: 32703 grad_norm: 18.9971 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 0.9538 loss: 0.9538 2022/07/31 01:56:34 - mmengine - INFO - Epoch(train) [52][100/2505] lr: 5.0000e-06 eta: 4:47:26 time: 1.0589 data_time: 0.4794 memory: 32703 grad_norm: 18.7568 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8086 loss: 0.8086 2022/07/31 01:56:52 - mmengine - INFO - Epoch(train) [52][120/2505] lr: 5.0000e-06 eta: 4:47:06 time: 0.8871 data_time: 0.3053 memory: 32703 grad_norm: 19.4740 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9876 loss: 0.9876 2022/07/31 01:57:14 - mmengine - INFO - Epoch(train) [52][140/2505] lr: 5.0000e-06 eta: 4:46:46 time: 1.0943 data_time: 0.5002 memory: 32703 grad_norm: 19.4117 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9750 loss: 0.9750 2022/07/31 01:57:31 - mmengine - INFO - Epoch(train) [52][160/2505] lr: 5.0000e-06 eta: 4:46:26 time: 0.8780 data_time: 0.2645 memory: 32703 grad_norm: 18.5765 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0672 loss: 1.0672 2022/07/31 01:57:54 - mmengine - INFO - Epoch(train) [52][180/2505] lr: 5.0000e-06 eta: 4:46:07 time: 1.1133 data_time: 0.4386 memory: 32703 grad_norm: 19.1710 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9722 loss: 0.9722 2022/07/31 01:58:11 - mmengine - INFO - Epoch(train) [52][200/2505] lr: 5.0000e-06 eta: 4:45:47 time: 0.8847 data_time: 0.2655 memory: 32703 grad_norm: 18.6603 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9755 loss: 0.9755 2022/07/31 01:58:33 - mmengine - INFO - Epoch(train) [52][220/2505] lr: 5.0000e-06 eta: 4:45:27 time: 1.0763 data_time: 0.4612 memory: 32703 grad_norm: 18.4866 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9039 loss: 0.9039 2022/07/31 01:58:52 - mmengine - INFO - Epoch(train) [52][240/2505] lr: 5.0000e-06 eta: 4:45:07 time: 0.9346 data_time: 0.3594 memory: 32703 grad_norm: 19.1414 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9799 loss: 0.9799 2022/07/31 01:58:57 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 01:59:12 - mmengine - INFO - Epoch(train) [52][260/2505] lr: 5.0000e-06 eta: 4:44:48 time: 1.0363 data_time: 0.4382 memory: 32703 grad_norm: 18.1915 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7159 loss: 0.7159 2022/07/31 01:59:31 - mmengine - INFO - Epoch(train) [52][280/2505] lr: 5.0000e-06 eta: 4:44:28 time: 0.9358 data_time: 0.3279 memory: 32703 grad_norm: 19.5605 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0543 loss: 1.0543 2022/07/31 01:59:51 - mmengine - INFO - Epoch(train) [52][300/2505] lr: 5.0000e-06 eta: 4:44:08 time: 1.0026 data_time: 0.3578 memory: 32703 grad_norm: 18.8463 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1157 loss: 1.1157 2022/07/31 02:00:10 - mmengine - INFO - Epoch(train) [52][320/2505] lr: 5.0000e-06 eta: 4:43:48 time: 0.9553 data_time: 0.3139 memory: 32703 grad_norm: 18.7028 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9613 loss: 0.9613 2022/07/31 02:00:30 - mmengine - INFO - Epoch(train) [52][340/2505] lr: 5.0000e-06 eta: 4:43:28 time: 0.9715 data_time: 0.2151 memory: 32703 grad_norm: 19.0949 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0577 loss: 1.0577 2022/07/31 02:00:49 - mmengine - INFO - Epoch(train) [52][360/2505] lr: 5.0000e-06 eta: 4:43:08 time: 0.9466 data_time: 0.3427 memory: 32703 grad_norm: 19.0692 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8632 loss: 0.8632 2022/07/31 02:01:10 - mmengine - INFO - Epoch(train) [52][380/2505] lr: 5.0000e-06 eta: 4:42:49 time: 1.0661 data_time: 0.4084 memory: 32703 grad_norm: 19.3408 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8547 loss: 0.8547 2022/07/31 02:01:28 - mmengine - INFO - Epoch(train) [52][400/2505] lr: 5.0000e-06 eta: 4:42:29 time: 0.9199 data_time: 0.1949 memory: 32703 grad_norm: 18.5963 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9214 loss: 0.9214 2022/07/31 02:01:50 - mmengine - INFO - Epoch(train) [52][420/2505] lr: 5.0000e-06 eta: 4:42:09 time: 1.0967 data_time: 0.1617 memory: 32703 grad_norm: 18.8840 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8501 loss: 0.8501 2022/07/31 02:02:08 - mmengine - INFO - Epoch(train) [52][440/2505] lr: 5.0000e-06 eta: 4:41:49 time: 0.8763 data_time: 0.0410 memory: 32703 grad_norm: 19.3862 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0469 loss: 1.0469 2022/07/31 02:02:29 - mmengine - INFO - Epoch(train) [52][460/2505] lr: 5.0000e-06 eta: 4:41:29 time: 1.0438 data_time: 0.0725 memory: 32703 grad_norm: 19.2078 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2195 loss: 1.2195 2022/07/31 02:02:47 - mmengine - INFO - Epoch(train) [52][480/2505] lr: 5.0000e-06 eta: 4:41:09 time: 0.9158 data_time: 0.1471 memory: 32703 grad_norm: 19.5992 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1953 loss: 1.1953 2022/07/31 02:03:08 - mmengine - INFO - Epoch(train) [52][500/2505] lr: 5.0000e-06 eta: 4:40:50 time: 1.0560 data_time: 0.1144 memory: 32703 grad_norm: 18.7776 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0658 loss: 1.0658 2022/07/31 02:03:26 - mmengine - INFO - Epoch(train) [52][520/2505] lr: 5.0000e-06 eta: 4:40:30 time: 0.9047 data_time: 0.0778 memory: 32703 grad_norm: 19.8394 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9430 loss: 0.9430 2022/07/31 02:03:48 - mmengine - INFO - Epoch(train) [52][540/2505] lr: 5.0000e-06 eta: 4:40:10 time: 1.0648 data_time: 0.1273 memory: 32703 grad_norm: 18.9099 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8893 loss: 0.8893 2022/07/31 02:04:05 - mmengine - INFO - Epoch(train) [52][560/2505] lr: 5.0000e-06 eta: 4:39:50 time: 0.8600 data_time: 0.1437 memory: 32703 grad_norm: 19.3940 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1052 loss: 1.1052 2022/07/31 02:04:26 - mmengine - INFO - Epoch(train) [52][580/2505] lr: 5.0000e-06 eta: 4:39:31 time: 1.0408 data_time: 0.4174 memory: 32703 grad_norm: 19.3877 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8220 loss: 0.8220 2022/07/31 02:04:43 - mmengine - INFO - Epoch(train) [52][600/2505] lr: 5.0000e-06 eta: 4:39:10 time: 0.8743 data_time: 0.1999 memory: 32703 grad_norm: 19.5565 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8321 loss: 0.8321 2022/07/31 02:05:05 - mmengine - INFO - Epoch(train) [52][620/2505] lr: 5.0000e-06 eta: 4:38:51 time: 1.0942 data_time: 0.4022 memory: 32703 grad_norm: 19.2574 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0923 loss: 1.0923 2022/07/31 02:05:23 - mmengine - INFO - Epoch(train) [52][640/2505] lr: 5.0000e-06 eta: 4:38:31 time: 0.8970 data_time: 0.3067 memory: 32703 grad_norm: 19.2620 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9164 loss: 0.9164 2022/07/31 02:05:44 - mmengine - INFO - Epoch(train) [52][660/2505] lr: 5.0000e-06 eta: 4:38:11 time: 1.0610 data_time: 0.4062 memory: 32703 grad_norm: 19.0678 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0750 loss: 1.0750 2022/07/31 02:06:02 - mmengine - INFO - Epoch(train) [52][680/2505] lr: 5.0000e-06 eta: 4:37:51 time: 0.8868 data_time: 0.1829 memory: 32703 grad_norm: 19.1938 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0488 loss: 1.0488 2022/07/31 02:06:23 - mmengine - INFO - Epoch(train) [52][700/2505] lr: 5.0000e-06 eta: 4:37:32 time: 1.0672 data_time: 0.2705 memory: 32703 grad_norm: 19.1203 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9848 loss: 0.9848 2022/07/31 02:06:42 - mmengine - INFO - Epoch(train) [52][720/2505] lr: 5.0000e-06 eta: 4:37:12 time: 0.9128 data_time: 0.1494 memory: 32703 grad_norm: 19.3332 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0717 loss: 1.0717 2022/07/31 02:07:03 - mmengine - INFO - Epoch(train) [52][740/2505] lr: 5.0000e-06 eta: 4:36:52 time: 1.0618 data_time: 0.3057 memory: 32703 grad_norm: 19.4868 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8452 loss: 0.8452 2022/07/31 02:07:21 - mmengine - INFO - Epoch(train) [52][760/2505] lr: 5.0000e-06 eta: 4:36:32 time: 0.8881 data_time: 0.1441 memory: 32703 grad_norm: 19.5465 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9001 loss: 0.9001 2022/07/31 02:07:42 - mmengine - INFO - Epoch(train) [52][780/2505] lr: 5.0000e-06 eta: 4:36:12 time: 1.0580 data_time: 0.0389 memory: 32703 grad_norm: 19.9869 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9194 loss: 0.9194 2022/07/31 02:08:00 - mmengine - INFO - Epoch(train) [52][800/2505] lr: 5.0000e-06 eta: 4:35:52 time: 0.8979 data_time: 0.0377 memory: 32703 grad_norm: 19.3223 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8978 loss: 0.8978 2022/07/31 02:08:21 - mmengine - INFO - Epoch(train) [52][820/2505] lr: 5.0000e-06 eta: 4:35:33 time: 1.0606 data_time: 0.0654 memory: 32703 grad_norm: 19.9181 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8014 loss: 0.8014 2022/07/31 02:08:40 - mmengine - INFO - Epoch(train) [52][840/2505] lr: 5.0000e-06 eta: 4:35:13 time: 0.9212 data_time: 0.0460 memory: 32703 grad_norm: 18.8643 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1398 loss: 1.1398 2022/07/31 02:09:00 - mmengine - INFO - Epoch(train) [52][860/2505] lr: 5.0000e-06 eta: 4:34:53 time: 1.0170 data_time: 0.0392 memory: 32703 grad_norm: 19.1354 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9125 loss: 0.9125 2022/07/31 02:09:18 - mmengine - INFO - Epoch(train) [52][880/2505] lr: 5.0000e-06 eta: 4:34:33 time: 0.9042 data_time: 0.0493 memory: 32703 grad_norm: 20.1022 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9874 loss: 0.9874 2022/07/31 02:09:38 - mmengine - INFO - Epoch(train) [52][900/2505] lr: 5.0000e-06 eta: 4:34:13 time: 0.9856 data_time: 0.0779 memory: 32703 grad_norm: 19.0921 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0685 loss: 1.0685 2022/07/31 02:09:56 - mmengine - INFO - Epoch(train) [52][920/2505] lr: 5.0000e-06 eta: 4:33:53 time: 0.9248 data_time: 0.0404 memory: 32703 grad_norm: 19.5032 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9478 loss: 0.9478 2022/07/31 02:10:18 - mmengine - INFO - Epoch(train) [52][940/2505] lr: 5.0000e-06 eta: 4:33:34 time: 1.0664 data_time: 0.0538 memory: 32703 grad_norm: 19.2420 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1301 loss: 1.1301 2022/07/31 02:10:36 - mmengine - INFO - Epoch(train) [52][960/2505] lr: 5.0000e-06 eta: 4:33:14 time: 0.9302 data_time: 0.0302 memory: 32703 grad_norm: 18.5379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1199 loss: 1.1199 2022/07/31 02:10:57 - mmengine - INFO - Epoch(train) [52][980/2505] lr: 5.0000e-06 eta: 4:32:54 time: 1.0643 data_time: 0.0282 memory: 32703 grad_norm: 19.0389 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8234 loss: 0.8234 2022/07/31 02:11:15 - mmengine - INFO - Epoch(train) [52][1000/2505] lr: 5.0000e-06 eta: 4:32:34 time: 0.8852 data_time: 0.0286 memory: 32703 grad_norm: 18.3956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9394 loss: 0.9394 2022/07/31 02:11:36 - mmengine - INFO - Epoch(train) [52][1020/2505] lr: 5.0000e-06 eta: 4:32:15 time: 1.0605 data_time: 0.0278 memory: 32703 grad_norm: 18.8275 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8991 loss: 0.8991 2022/07/31 02:11:54 - mmengine - INFO - Epoch(train) [52][1040/2505] lr: 5.0000e-06 eta: 4:31:55 time: 0.8849 data_time: 0.0333 memory: 32703 grad_norm: 20.0688 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1930 loss: 1.1930 2022/07/31 02:12:16 - mmengine - INFO - Epoch(train) [52][1060/2505] lr: 5.0000e-06 eta: 4:31:35 time: 1.1041 data_time: 0.0304 memory: 32703 grad_norm: 18.1731 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9359 loss: 0.9359 2022/07/31 02:12:35 - mmengine - INFO - Epoch(train) [52][1080/2505] lr: 5.0000e-06 eta: 4:31:15 time: 0.9292 data_time: 0.0334 memory: 32703 grad_norm: 18.7356 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8238 loss: 0.8238 2022/07/31 02:12:56 - mmengine - INFO - Epoch(train) [52][1100/2505] lr: 5.0000e-06 eta: 4:30:56 time: 1.0530 data_time: 0.0270 memory: 32703 grad_norm: 19.4821 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1314 loss: 1.1314 2022/07/31 02:13:14 - mmengine - INFO - Epoch(train) [52][1120/2505] lr: 5.0000e-06 eta: 4:30:36 time: 0.9210 data_time: 0.0325 memory: 32703 grad_norm: 18.4879 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9883 loss: 0.9883 2022/07/31 02:13:35 - mmengine - INFO - Epoch(train) [52][1140/2505] lr: 5.0000e-06 eta: 4:30:16 time: 1.0477 data_time: 0.0304 memory: 32703 grad_norm: 18.7621 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1291 loss: 1.1291 2022/07/31 02:13:53 - mmengine - INFO - Epoch(train) [52][1160/2505] lr: 5.0000e-06 eta: 4:29:56 time: 0.8705 data_time: 0.0390 memory: 32703 grad_norm: 18.9405 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9435 loss: 0.9435 2022/07/31 02:14:14 - mmengine - INFO - Epoch(train) [52][1180/2505] lr: 5.0000e-06 eta: 4:29:36 time: 1.0705 data_time: 0.0673 memory: 32703 grad_norm: 19.2012 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8598 loss: 0.8598 2022/07/31 02:14:32 - mmengine - INFO - Epoch(train) [52][1200/2505] lr: 5.0000e-06 eta: 4:29:16 time: 0.9222 data_time: 0.0739 memory: 32703 grad_norm: 19.3854 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0237 loss: 1.0237 2022/07/31 02:14:54 - mmengine - INFO - Epoch(train) [52][1220/2505] lr: 5.0000e-06 eta: 4:28:57 time: 1.0677 data_time: 0.0300 memory: 32703 grad_norm: 18.8123 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0781 loss: 1.0781 2022/07/31 02:15:13 - mmengine - INFO - Epoch(train) [52][1240/2505] lr: 5.0000e-06 eta: 4:28:37 time: 0.9451 data_time: 0.0728 memory: 32703 grad_norm: 19.5022 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9972 loss: 0.9972 2022/07/31 02:15:19 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 02:15:34 - mmengine - INFO - Epoch(train) [52][1260/2505] lr: 5.0000e-06 eta: 4:28:17 time: 1.0651 data_time: 0.0417 memory: 32703 grad_norm: 19.3764 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9060 loss: 0.9060 2022/07/31 02:15:53 - mmengine - INFO - Epoch(train) [52][1280/2505] lr: 5.0000e-06 eta: 4:27:57 time: 0.9312 data_time: 0.0303 memory: 32703 grad_norm: 19.7801 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1277 loss: 1.1277 2022/07/31 02:16:13 - mmengine - INFO - Epoch(train) [52][1300/2505] lr: 5.0000e-06 eta: 4:27:38 time: 1.0279 data_time: 0.0333 memory: 32703 grad_norm: 18.8734 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9296 loss: 0.9296 2022/07/31 02:16:32 - mmengine - INFO - Epoch(train) [52][1320/2505] lr: 5.0000e-06 eta: 4:27:18 time: 0.9126 data_time: 0.0285 memory: 32703 grad_norm: 19.6368 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8221 loss: 0.8221 2022/07/31 02:16:53 - mmengine - INFO - Epoch(train) [52][1340/2505] lr: 5.0000e-06 eta: 4:26:58 time: 1.0991 data_time: 0.0339 memory: 32703 grad_norm: 19.4202 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.1741 loss: 1.1741 2022/07/31 02:17:12 - mmengine - INFO - Epoch(train) [52][1360/2505] lr: 5.0000e-06 eta: 4:26:38 time: 0.9216 data_time: 0.0288 memory: 32703 grad_norm: 19.2614 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8999 loss: 0.8999 2022/07/31 02:17:33 - mmengine - INFO - Epoch(train) [52][1380/2505] lr: 5.0000e-06 eta: 4:26:19 time: 1.0417 data_time: 0.0346 memory: 32703 grad_norm: 18.4730 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9641 loss: 0.9641 2022/07/31 02:17:51 - mmengine - INFO - Epoch(train) [52][1400/2505] lr: 5.0000e-06 eta: 4:25:59 time: 0.9004 data_time: 0.0312 memory: 32703 grad_norm: 19.6791 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9613 loss: 0.9613 2022/07/31 02:18:12 - mmengine - INFO - Epoch(train) [52][1420/2505] lr: 5.0000e-06 eta: 4:25:39 time: 1.0550 data_time: 0.0315 memory: 32703 grad_norm: 19.1753 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1084 loss: 1.1084 2022/07/31 02:18:31 - mmengine - INFO - Epoch(train) [52][1440/2505] lr: 5.0000e-06 eta: 4:25:19 time: 0.9501 data_time: 0.0270 memory: 32703 grad_norm: 19.2154 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9076 loss: 0.9076 2022/07/31 02:18:52 - mmengine - INFO - Epoch(train) [52][1460/2505] lr: 5.0000e-06 eta: 4:25:00 time: 1.0544 data_time: 0.0329 memory: 32703 grad_norm: 18.7946 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.1088 loss: 1.1088 2022/07/31 02:19:10 - mmengine - INFO - Epoch(train) [52][1480/2505] lr: 5.0000e-06 eta: 4:24:39 time: 0.8821 data_time: 0.0314 memory: 32703 grad_norm: 18.7529 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9009 loss: 0.9009 2022/07/31 02:19:31 - mmengine - INFO - Epoch(train) [52][1500/2505] lr: 5.0000e-06 eta: 4:24:20 time: 1.0676 data_time: 0.0343 memory: 32703 grad_norm: 19.2154 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2495 loss: 1.2495 2022/07/31 02:19:49 - mmengine - INFO - Epoch(train) [52][1520/2505] lr: 5.0000e-06 eta: 4:24:00 time: 0.8947 data_time: 0.0273 memory: 32703 grad_norm: 19.3248 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7698 loss: 0.7698 2022/07/31 02:20:11 - mmengine - INFO - Epoch(train) [52][1540/2505] lr: 5.0000e-06 eta: 4:23:40 time: 1.0909 data_time: 0.0350 memory: 32703 grad_norm: 18.2120 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8889 loss: 0.8889 2022/07/31 02:20:28 - mmengine - INFO - Epoch(train) [52][1560/2505] lr: 5.0000e-06 eta: 4:23:20 time: 0.8776 data_time: 0.0288 memory: 32703 grad_norm: 19.5951 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0324 loss: 1.0324 2022/07/31 02:20:50 - mmengine - INFO - Epoch(train) [52][1580/2505] lr: 5.0000e-06 eta: 4:23:01 time: 1.0666 data_time: 0.0272 memory: 32703 grad_norm: 18.4602 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8468 loss: 0.8468 2022/07/31 02:21:07 - mmengine - INFO - Epoch(train) [52][1600/2505] lr: 5.0000e-06 eta: 4:22:41 time: 0.8804 data_time: 0.0292 memory: 32703 grad_norm: 19.5130 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9299 loss: 0.9299 2022/07/31 02:21:29 - mmengine - INFO - Epoch(train) [52][1620/2505] lr: 5.0000e-06 eta: 4:22:21 time: 1.0629 data_time: 0.0301 memory: 32703 grad_norm: 19.3684 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9887 loss: 0.9887 2022/07/31 02:21:46 - mmengine - INFO - Epoch(train) [52][1640/2505] lr: 5.0000e-06 eta: 4:22:01 time: 0.8956 data_time: 0.0313 memory: 32703 grad_norm: 18.9612 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8957 loss: 0.8957 2022/07/31 02:22:07 - mmengine - INFO - Epoch(train) [52][1660/2505] lr: 5.0000e-06 eta: 4:21:41 time: 1.0147 data_time: 0.0264 memory: 32703 grad_norm: 19.6875 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1416 loss: 1.1416 2022/07/31 02:22:25 - mmengine - INFO - Epoch(train) [52][1680/2505] lr: 5.0000e-06 eta: 4:21:21 time: 0.9005 data_time: 0.0275 memory: 32703 grad_norm: 20.1575 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8950 loss: 0.8950 2022/07/31 02:22:45 - mmengine - INFO - Epoch(train) [52][1700/2505] lr: 5.0000e-06 eta: 4:21:02 time: 1.0351 data_time: 0.0311 memory: 32703 grad_norm: 18.7298 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9832 loss: 0.9832 2022/07/31 02:23:03 - mmengine - INFO - Epoch(train) [52][1720/2505] lr: 5.0000e-06 eta: 4:20:42 time: 0.9000 data_time: 0.0269 memory: 32703 grad_norm: 19.3363 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1277 loss: 1.1277 2022/07/31 02:23:24 - mmengine - INFO - Epoch(train) [52][1740/2505] lr: 5.0000e-06 eta: 4:20:22 time: 1.0360 data_time: 0.0809 memory: 32703 grad_norm: 19.2627 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9634 loss: 0.9634 2022/07/31 02:23:43 - mmengine - INFO - Epoch(train) [52][1760/2505] lr: 5.0000e-06 eta: 4:20:02 time: 0.9137 data_time: 0.0319 memory: 32703 grad_norm: 18.9493 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0315 loss: 1.0315 2022/07/31 02:24:04 - mmengine - INFO - Epoch(train) [52][1780/2505] lr: 5.0000e-06 eta: 4:19:42 time: 1.0526 data_time: 0.0429 memory: 32703 grad_norm: 18.7661 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9985 loss: 0.9985 2022/07/31 02:24:22 - mmengine - INFO - Epoch(train) [52][1800/2505] lr: 5.0000e-06 eta: 4:19:22 time: 0.9067 data_time: 0.0536 memory: 32703 grad_norm: 18.9650 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9072 loss: 0.9072 2022/07/31 02:24:42 - mmengine - INFO - Epoch(train) [52][1820/2505] lr: 5.0000e-06 eta: 4:19:03 time: 1.0287 data_time: 0.0467 memory: 32703 grad_norm: 18.5985 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9129 loss: 0.9129 2022/07/31 02:25:00 - mmengine - INFO - Epoch(train) [52][1840/2505] lr: 5.0000e-06 eta: 4:18:43 time: 0.9059 data_time: 0.0272 memory: 32703 grad_norm: 18.7419 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.7593 loss: 0.7593 2022/07/31 02:25:22 - mmengine - INFO - Epoch(train) [52][1860/2505] lr: 5.0000e-06 eta: 4:18:23 time: 1.0885 data_time: 0.0371 memory: 32703 grad_norm: 18.7677 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1519 loss: 1.1519 2022/07/31 02:25:41 - mmengine - INFO - Epoch(train) [52][1880/2505] lr: 5.0000e-06 eta: 4:18:03 time: 0.9507 data_time: 0.0278 memory: 32703 grad_norm: 18.9905 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8267 loss: 0.8267 2022/07/31 02:26:02 - mmengine - INFO - Epoch(train) [52][1900/2505] lr: 5.0000e-06 eta: 4:17:44 time: 1.0353 data_time: 0.0280 memory: 32703 grad_norm: 19.7726 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1393 loss: 1.1393 2022/07/31 02:26:20 - mmengine - INFO - Epoch(train) [52][1920/2505] lr: 5.0000e-06 eta: 4:17:24 time: 0.8944 data_time: 0.0272 memory: 32703 grad_norm: 18.9319 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9838 loss: 0.9838 2022/07/31 02:26:41 - mmengine - INFO - Epoch(train) [52][1940/2505] lr: 5.0000e-06 eta: 4:17:04 time: 1.0395 data_time: 0.0284 memory: 32703 grad_norm: 18.8654 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9358 loss: 0.9358 2022/07/31 02:26:59 - mmengine - INFO - Epoch(train) [52][1960/2505] lr: 5.0000e-06 eta: 4:16:44 time: 0.9130 data_time: 0.0280 memory: 32703 grad_norm: 19.2387 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9845 loss: 0.9845 2022/07/31 02:27:21 - mmengine - INFO - Epoch(train) [52][1980/2505] lr: 5.0000e-06 eta: 4:16:24 time: 1.0800 data_time: 0.0294 memory: 32703 grad_norm: 18.9031 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9286 loss: 0.9286 2022/07/31 02:27:38 - mmengine - INFO - Epoch(train) [52][2000/2505] lr: 5.0000e-06 eta: 4:16:04 time: 0.8848 data_time: 0.0270 memory: 32703 grad_norm: 18.7718 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.8671 loss: 0.8671 2022/07/31 02:27:59 - mmengine - INFO - Epoch(train) [52][2020/2505] lr: 5.0000e-06 eta: 4:15:45 time: 1.0588 data_time: 0.0286 memory: 32703 grad_norm: 19.2481 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0870 loss: 1.0870 2022/07/31 02:28:18 - mmengine - INFO - Epoch(train) [52][2040/2505] lr: 5.0000e-06 eta: 4:15:25 time: 0.9223 data_time: 0.0308 memory: 32703 grad_norm: 19.0571 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0893 loss: 1.0893 2022/07/31 02:28:40 - mmengine - INFO - Epoch(train) [52][2060/2505] lr: 5.0000e-06 eta: 4:15:05 time: 1.0859 data_time: 0.0302 memory: 32703 grad_norm: 19.6501 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9719 loss: 0.9719 2022/07/31 02:28:57 - mmengine - INFO - Epoch(train) [52][2080/2505] lr: 5.0000e-06 eta: 4:14:45 time: 0.8824 data_time: 0.0263 memory: 32703 grad_norm: 18.7685 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0050 loss: 1.0050 2022/07/31 02:29:18 - mmengine - INFO - Epoch(train) [52][2100/2505] lr: 5.0000e-06 eta: 4:14:26 time: 1.0414 data_time: 0.0310 memory: 32703 grad_norm: 19.3103 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9063 loss: 0.9063 2022/07/31 02:29:37 - mmengine - INFO - Epoch(train) [52][2120/2505] lr: 5.0000e-06 eta: 4:14:06 time: 0.9487 data_time: 0.0520 memory: 32703 grad_norm: 19.5314 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9741 loss: 0.9741 2022/07/31 02:29:58 - mmengine - INFO - Epoch(train) [52][2140/2505] lr: 5.0000e-06 eta: 4:13:46 time: 1.0376 data_time: 0.0267 memory: 32703 grad_norm: 19.3552 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8997 loss: 0.8997 2022/07/31 02:30:16 - mmengine - INFO - Epoch(train) [52][2160/2505] lr: 5.0000e-06 eta: 4:13:26 time: 0.9149 data_time: 0.0274 memory: 32703 grad_norm: 18.5672 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.6924 loss: 0.6924 2022/07/31 02:30:37 - mmengine - INFO - Epoch(train) [52][2180/2505] lr: 5.0000e-06 eta: 4:13:06 time: 1.0409 data_time: 0.0284 memory: 32703 grad_norm: 19.2689 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9709 loss: 0.9709 2022/07/31 02:30:55 - mmengine - INFO - Epoch(train) [52][2200/2505] lr: 5.0000e-06 eta: 4:12:46 time: 0.9129 data_time: 0.0283 memory: 32703 grad_norm: 18.4579 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0813 loss: 1.0813 2022/07/31 02:31:15 - mmengine - INFO - Epoch(train) [52][2220/2505] lr: 5.0000e-06 eta: 4:12:27 time: 0.9989 data_time: 0.0295 memory: 32703 grad_norm: 18.6717 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9651 loss: 0.9651 2022/07/31 02:31:33 - mmengine - INFO - Epoch(train) [52][2240/2505] lr: 5.0000e-06 eta: 4:12:07 time: 0.9083 data_time: 0.0299 memory: 32703 grad_norm: 18.3313 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0343 loss: 1.0343 2022/07/31 02:31:40 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 02:31:55 - mmengine - INFO - Epoch(train) [52][2260/2505] lr: 5.0000e-06 eta: 4:11:47 time: 1.0576 data_time: 0.0280 memory: 32703 grad_norm: 19.2376 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8611 loss: 0.8611 2022/07/31 02:32:13 - mmengine - INFO - Epoch(train) [52][2280/2505] lr: 5.0000e-06 eta: 4:11:27 time: 0.9191 data_time: 0.0266 memory: 32703 grad_norm: 19.1747 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2030 loss: 1.2030 2022/07/31 02:32:34 - mmengine - INFO - Epoch(train) [52][2300/2505] lr: 5.0000e-06 eta: 4:11:08 time: 1.0567 data_time: 0.0287 memory: 32703 grad_norm: 19.2261 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8708 loss: 0.8708 2022/07/31 02:32:53 - mmengine - INFO - Epoch(train) [52][2320/2505] lr: 5.0000e-06 eta: 4:10:48 time: 0.9489 data_time: 0.0282 memory: 32703 grad_norm: 18.1037 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0025 loss: 1.0025 2022/07/31 02:33:14 - mmengine - INFO - Epoch(train) [52][2340/2505] lr: 5.0000e-06 eta: 4:10:28 time: 1.0513 data_time: 0.0270 memory: 32703 grad_norm: 19.2413 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0700 loss: 1.0700 2022/07/31 02:33:32 - mmengine - INFO - Epoch(train) [52][2360/2505] lr: 5.0000e-06 eta: 4:10:08 time: 0.8938 data_time: 0.0288 memory: 32703 grad_norm: 19.2934 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0095 loss: 1.0095 2022/07/31 02:33:53 - mmengine - INFO - Epoch(train) [52][2380/2505] lr: 5.0000e-06 eta: 4:09:48 time: 1.0271 data_time: 0.0286 memory: 32703 grad_norm: 19.6198 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1221 loss: 1.1221 2022/07/31 02:34:11 - mmengine - INFO - Epoch(train) [52][2400/2505] lr: 5.0000e-06 eta: 4:09:28 time: 0.9250 data_time: 0.0281 memory: 32703 grad_norm: 19.6852 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0463 loss: 1.0463 2022/07/31 02:34:32 - mmengine - INFO - Epoch(train) [52][2420/2505] lr: 5.0000e-06 eta: 4:09:09 time: 1.0630 data_time: 0.0287 memory: 32703 grad_norm: 19.1787 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0095 loss: 1.0095 2022/07/31 02:34:51 - mmengine - INFO - Epoch(train) [52][2440/2505] lr: 5.0000e-06 eta: 4:08:49 time: 0.9162 data_time: 0.0297 memory: 32703 grad_norm: 20.7211 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0342 loss: 1.0342 2022/07/31 02:35:13 - mmengine - INFO - Epoch(train) [52][2460/2505] lr: 5.0000e-06 eta: 4:08:29 time: 1.1081 data_time: 0.0299 memory: 32703 grad_norm: 19.0161 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0791 loss: 1.0791 2022/07/31 02:35:32 - mmengine - INFO - Epoch(train) [52][2480/2505] lr: 5.0000e-06 eta: 4:08:09 time: 0.9407 data_time: 0.0291 memory: 32703 grad_norm: 18.2316 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9180 loss: 0.9180 2022/07/31 02:35:48 - mmengine - INFO - Epoch(train) [52][2500/2505] lr: 5.0000e-06 eta: 4:07:49 time: 0.8354 data_time: 0.0274 memory: 32703 grad_norm: 19.3051 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 0.8766 loss: 0.8766 2022/07/31 02:35:51 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 02:35:51 - mmengine - INFO - Epoch(train) [52][2505/2505] lr: 5.0000e-06 eta: 4:07:49 time: 0.7238 data_time: 0.0217 memory: 32703 grad_norm: 19.8035 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.8602 loss: 0.8602 2022/07/31 02:35:51 - mmengine - INFO - Saving checkpoint at 52 epochs 2022/07/31 02:36:22 - mmengine - INFO - Epoch(train) [53][20/2505] lr: 5.0000e-06 eta: 4:07:25 time: 1.2642 data_time: 0.6767 memory: 32703 grad_norm: 18.8151 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0783 loss: 1.0783 2022/07/31 02:36:40 - mmengine - INFO - Epoch(train) [53][40/2505] lr: 5.0000e-06 eta: 4:07:05 time: 0.9063 data_time: 0.3038 memory: 32703 grad_norm: 18.5164 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9315 loss: 0.9315 2022/07/31 02:37:01 - mmengine - INFO - Epoch(train) [53][60/2505] lr: 5.0000e-06 eta: 4:06:45 time: 1.0581 data_time: 0.4517 memory: 32703 grad_norm: 18.6523 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9029 loss: 0.9029 2022/07/31 02:37:20 - mmengine - INFO - Epoch(train) [53][80/2505] lr: 5.0000e-06 eta: 4:06:25 time: 0.9317 data_time: 0.3377 memory: 32703 grad_norm: 19.5273 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7178 loss: 0.7178 2022/07/31 02:37:41 - mmengine - INFO - Epoch(train) [53][100/2505] lr: 5.0000e-06 eta: 4:06:06 time: 1.0345 data_time: 0.4247 memory: 32703 grad_norm: 18.9296 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0314 loss: 1.0314 2022/07/31 02:37:59 - mmengine - INFO - Epoch(train) [53][120/2505] lr: 5.0000e-06 eta: 4:05:46 time: 0.9072 data_time: 0.3119 memory: 32703 grad_norm: 19.8898 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0823 loss: 1.0823 2022/07/31 02:38:19 - mmengine - INFO - Epoch(train) [53][140/2505] lr: 5.0000e-06 eta: 4:05:26 time: 1.0216 data_time: 0.4190 memory: 32703 grad_norm: 19.5333 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0675 loss: 1.0675 2022/07/31 02:38:37 - mmengine - INFO - Epoch(train) [53][160/2505] lr: 5.0000e-06 eta: 4:05:06 time: 0.9008 data_time: 0.3214 memory: 32703 grad_norm: 19.4624 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0446 loss: 1.0446 2022/07/31 02:38:59 - mmengine - INFO - Epoch(train) [53][180/2505] lr: 5.0000e-06 eta: 4:04:46 time: 1.0848 data_time: 0.4862 memory: 32703 grad_norm: 18.4822 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0845 loss: 1.0845 2022/07/31 02:39:17 - mmengine - INFO - Epoch(train) [53][200/2505] lr: 5.0000e-06 eta: 4:04:26 time: 0.9063 data_time: 0.3077 memory: 32703 grad_norm: 19.1569 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8658 loss: 0.8658 2022/07/31 02:39:38 - mmengine - INFO - Epoch(train) [53][220/2505] lr: 5.0000e-06 eta: 4:04:07 time: 1.0585 data_time: 0.4496 memory: 32703 grad_norm: 19.3146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9192 loss: 0.9192 2022/07/31 02:39:57 - mmengine - INFO - Epoch(train) [53][240/2505] lr: 5.0000e-06 eta: 4:03:47 time: 0.9304 data_time: 0.3368 memory: 32703 grad_norm: 18.7183 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0289 loss: 1.0289 2022/07/31 02:40:18 - mmengine - INFO - Epoch(train) [53][260/2505] lr: 5.0000e-06 eta: 4:03:27 time: 1.0780 data_time: 0.4662 memory: 32703 grad_norm: 19.4867 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9737 loss: 0.9737 2022/07/31 02:40:37 - mmengine - INFO - Epoch(train) [53][280/2505] lr: 5.0000e-06 eta: 4:03:07 time: 0.9024 data_time: 0.3160 memory: 32703 grad_norm: 19.5232 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9261 loss: 0.9261 2022/07/31 02:40:58 - mmengine - INFO - Epoch(train) [53][300/2505] lr: 5.0000e-06 eta: 4:02:48 time: 1.0913 data_time: 0.4786 memory: 32703 grad_norm: 19.8447 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9537 loss: 0.9537 2022/07/31 02:41:17 - mmengine - INFO - Epoch(train) [53][320/2505] lr: 5.0000e-06 eta: 4:02:28 time: 0.9431 data_time: 0.3323 memory: 32703 grad_norm: 19.0378 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9985 loss: 0.9985 2022/07/31 02:41:38 - mmengine - INFO - Epoch(train) [53][340/2505] lr: 5.0000e-06 eta: 4:02:08 time: 1.0188 data_time: 0.4294 memory: 32703 grad_norm: 18.9124 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0113 loss: 1.0113 2022/07/31 02:41:56 - mmengine - INFO - Epoch(train) [53][360/2505] lr: 5.0000e-06 eta: 4:01:48 time: 0.9244 data_time: 0.3275 memory: 32703 grad_norm: 18.7627 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8888 loss: 0.8888 2022/07/31 02:42:17 - mmengine - INFO - Epoch(train) [53][380/2505] lr: 5.0000e-06 eta: 4:01:29 time: 1.0484 data_time: 0.4708 memory: 32703 grad_norm: 17.8467 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.7126 loss: 0.7126 2022/07/31 02:42:36 - mmengine - INFO - Epoch(train) [53][400/2505] lr: 5.0000e-06 eta: 4:01:09 time: 0.9292 data_time: 0.3323 memory: 32703 grad_norm: 19.1185 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0153 loss: 1.0153 2022/07/31 02:42:56 - mmengine - INFO - Epoch(train) [53][420/2505] lr: 5.0000e-06 eta: 4:00:49 time: 1.0400 data_time: 0.4617 memory: 32703 grad_norm: 18.7030 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0559 loss: 1.0559 2022/07/31 02:43:15 - mmengine - INFO - Epoch(train) [53][440/2505] lr: 5.0000e-06 eta: 4:00:29 time: 0.9327 data_time: 0.3310 memory: 32703 grad_norm: 19.4284 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.8887 loss: 0.8887 2022/07/31 02:43:36 - mmengine - INFO - Epoch(train) [53][460/2505] lr: 5.0000e-06 eta: 4:00:09 time: 1.0368 data_time: 0.4538 memory: 32703 grad_norm: 18.9675 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0798 loss: 1.0798 2022/07/31 02:43:55 - mmengine - INFO - Epoch(train) [53][480/2505] lr: 5.0000e-06 eta: 3:59:49 time: 0.9535 data_time: 0.3465 memory: 32703 grad_norm: 18.9186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9693 loss: 0.9693 2022/07/31 02:44:15 - mmengine - INFO - Epoch(train) [53][500/2505] lr: 5.0000e-06 eta: 3:59:30 time: 0.9947 data_time: 0.3824 memory: 32703 grad_norm: 20.0245 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0869 loss: 1.0869 2022/07/31 02:44:32 - mmengine - INFO - Epoch(train) [53][520/2505] lr: 5.0000e-06 eta: 3:59:10 time: 0.8348 data_time: 0.2402 memory: 32703 grad_norm: 19.8777 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0877 loss: 1.0877 2022/07/31 02:44:53 - mmengine - INFO - Epoch(train) [53][540/2505] lr: 5.0000e-06 eta: 3:58:50 time: 1.0565 data_time: 0.4648 memory: 32703 grad_norm: 19.5637 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8933 loss: 0.8933 2022/07/31 02:45:11 - mmengine - INFO - Epoch(train) [53][560/2505] lr: 5.0000e-06 eta: 3:58:30 time: 0.9206 data_time: 0.3399 memory: 32703 grad_norm: 19.0087 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0907 loss: 1.0907 2022/07/31 02:45:32 - mmengine - INFO - Epoch(train) [53][580/2505] lr: 5.0000e-06 eta: 3:58:10 time: 1.0556 data_time: 0.4524 memory: 32703 grad_norm: 19.0330 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7954 loss: 0.7954 2022/07/31 02:45:50 - mmengine - INFO - Epoch(train) [53][600/2505] lr: 5.0000e-06 eta: 3:57:50 time: 0.8826 data_time: 0.3023 memory: 32703 grad_norm: 18.8251 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8467 loss: 0.8467 2022/07/31 02:46:11 - mmengine - INFO - Epoch(train) [53][620/2505] lr: 5.0000e-06 eta: 3:57:31 time: 1.0297 data_time: 0.4411 memory: 32703 grad_norm: 19.0951 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8653 loss: 0.8653 2022/07/31 02:46:29 - mmengine - INFO - Epoch(train) [53][640/2505] lr: 5.0000e-06 eta: 3:57:11 time: 0.9025 data_time: 0.2687 memory: 32703 grad_norm: 19.1544 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8777 loss: 0.8777 2022/07/31 02:46:50 - mmengine - INFO - Epoch(train) [53][660/2505] lr: 5.0000e-06 eta: 3:56:51 time: 1.0860 data_time: 0.2830 memory: 32703 grad_norm: 18.8853 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8579 loss: 0.8579 2022/07/31 02:47:08 - mmengine - INFO - Epoch(train) [53][680/2505] lr: 5.0000e-06 eta: 3:56:31 time: 0.8928 data_time: 0.1019 memory: 32703 grad_norm: 19.9785 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9378 loss: 0.9378 2022/07/31 02:47:29 - mmengine - INFO - Epoch(train) [53][700/2505] lr: 5.0000e-06 eta: 3:56:12 time: 1.0531 data_time: 0.1298 memory: 32703 grad_norm: 19.5950 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9422 loss: 0.9422 2022/07/31 02:47:50 - mmengine - INFO - Epoch(train) [53][720/2505] lr: 5.0000e-06 eta: 3:55:52 time: 1.0128 data_time: 0.0522 memory: 32703 grad_norm: 19.7238 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0088 loss: 1.0088 2022/07/31 02:48:08 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 02:48:08 - mmengine - INFO - Epoch(train) [53][740/2505] lr: 5.0000e-06 eta: 3:55:32 time: 0.9003 data_time: 0.0389 memory: 32703 grad_norm: 18.4817 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9321 loss: 0.9321 2022/07/31 02:48:28 - mmengine - INFO - Epoch(train) [53][760/2505] lr: 5.0000e-06 eta: 3:55:12 time: 1.0420 data_time: 0.1202 memory: 32703 grad_norm: 18.7297 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.7444 loss: 0.7444 2022/07/31 02:48:47 - mmengine - INFO - Epoch(train) [53][780/2505] lr: 5.0000e-06 eta: 3:54:52 time: 0.9322 data_time: 0.1084 memory: 32703 grad_norm: 18.6576 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8742 loss: 0.8742 2022/07/31 02:49:08 - mmengine - INFO - Epoch(train) [53][800/2505] lr: 5.0000e-06 eta: 3:54:33 time: 1.0430 data_time: 0.0778 memory: 32703 grad_norm: 19.1636 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0146 loss: 1.0146 2022/07/31 02:49:28 - mmengine - INFO - Epoch(train) [53][820/2505] lr: 5.0000e-06 eta: 3:54:13 time: 0.9978 data_time: 0.0312 memory: 32703 grad_norm: 19.2812 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9441 loss: 0.9441 2022/07/31 02:49:48 - mmengine - INFO - Epoch(train) [53][840/2505] lr: 5.0000e-06 eta: 3:53:53 time: 0.9798 data_time: 0.0338 memory: 32703 grad_norm: 18.7988 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9567 loss: 0.9567 2022/07/31 02:50:08 - mmengine - INFO - Epoch(train) [53][860/2505] lr: 5.0000e-06 eta: 3:53:33 time: 1.0348 data_time: 0.2038 memory: 32703 grad_norm: 19.2461 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0359 loss: 1.0359 2022/07/31 02:50:28 - mmengine - INFO - Epoch(train) [53][880/2505] lr: 5.0000e-06 eta: 3:53:14 time: 0.9870 data_time: 0.0482 memory: 32703 grad_norm: 19.6438 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0135 loss: 1.0135 2022/07/31 02:50:46 - mmengine - INFO - Epoch(train) [53][900/2505] lr: 5.0000e-06 eta: 3:52:54 time: 0.9027 data_time: 0.0294 memory: 32703 grad_norm: 18.5084 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7411 loss: 0.7411 2022/07/31 02:51:07 - mmengine - INFO - Epoch(train) [53][920/2505] lr: 5.0000e-06 eta: 3:52:34 time: 1.0375 data_time: 0.0677 memory: 32703 grad_norm: 18.3061 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.8465 loss: 0.8465 2022/07/31 02:51:26 - mmengine - INFO - Epoch(train) [53][940/2505] lr: 5.0000e-06 eta: 3:52:14 time: 0.9395 data_time: 0.1376 memory: 32703 grad_norm: 18.8382 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0524 loss: 1.0524 2022/07/31 02:51:48 - mmengine - INFO - Epoch(train) [53][960/2505] lr: 5.0000e-06 eta: 3:51:55 time: 1.1133 data_time: 0.0909 memory: 32703 grad_norm: 19.6056 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8726 loss: 0.8726 2022/07/31 02:52:08 - mmengine - INFO - Epoch(train) [53][980/2505] lr: 5.0000e-06 eta: 3:51:35 time: 1.0177 data_time: 0.0524 memory: 32703 grad_norm: 18.5416 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0244 loss: 1.0244 2022/07/31 02:52:28 - mmengine - INFO - Epoch(train) [53][1000/2505] lr: 5.0000e-06 eta: 3:51:15 time: 0.9653 data_time: 0.0309 memory: 32703 grad_norm: 19.3196 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0347 loss: 1.0347 2022/07/31 02:52:47 - mmengine - INFO - Epoch(train) [53][1020/2505] lr: 5.0000e-06 eta: 3:50:55 time: 0.9755 data_time: 0.0287 memory: 32703 grad_norm: 18.9774 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8704 loss: 0.8704 2022/07/31 02:53:07 - mmengine - INFO - Epoch(train) [53][1040/2505] lr: 5.0000e-06 eta: 3:50:35 time: 1.0184 data_time: 0.0263 memory: 32703 grad_norm: 19.1616 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8825 loss: 0.8825 2022/07/31 02:53:27 - mmengine - INFO - Epoch(train) [53][1060/2505] lr: 5.0000e-06 eta: 3:50:16 time: 0.9563 data_time: 0.0294 memory: 32703 grad_norm: 18.4738 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8505 loss: 0.8505 2022/07/31 02:53:47 - mmengine - INFO - Epoch(train) [53][1080/2505] lr: 5.0000e-06 eta: 3:49:56 time: 1.0263 data_time: 0.0292 memory: 32703 grad_norm: 18.9867 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8304 loss: 0.8304 2022/07/31 02:54:05 - mmengine - INFO - Epoch(train) [53][1100/2505] lr: 5.0000e-06 eta: 3:49:36 time: 0.9034 data_time: 0.0291 memory: 32703 grad_norm: 18.8013 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9572 loss: 0.9572 2022/07/31 02:54:26 - mmengine - INFO - Epoch(train) [53][1120/2505] lr: 5.0000e-06 eta: 3:49:16 time: 1.0589 data_time: 0.0306 memory: 32703 grad_norm: 17.8472 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7730 loss: 0.7730 2022/07/31 02:54:45 - mmengine - INFO - Epoch(train) [53][1140/2505] lr: 5.0000e-06 eta: 3:48:56 time: 0.9144 data_time: 0.0291 memory: 32703 grad_norm: 18.5593 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0674 loss: 1.0674 2022/07/31 02:55:05 - mmengine - INFO - Epoch(train) [53][1160/2505] lr: 5.0000e-06 eta: 3:48:37 time: 1.0042 data_time: 0.0295 memory: 32703 grad_norm: 19.0272 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0765 loss: 1.0765 2022/07/31 02:55:24 - mmengine - INFO - Epoch(train) [53][1180/2505] lr: 5.0000e-06 eta: 3:48:17 time: 0.9829 data_time: 0.0326 memory: 32703 grad_norm: 20.0334 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8107 loss: 0.8107 2022/07/31 02:55:45 - mmengine - INFO - Epoch(train) [53][1200/2505] lr: 5.0000e-06 eta: 3:47:57 time: 1.0099 data_time: 0.0325 memory: 32703 grad_norm: 18.9284 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9879 loss: 0.9879 2022/07/31 02:56:03 - mmengine - INFO - Epoch(train) [53][1220/2505] lr: 5.0000e-06 eta: 3:47:37 time: 0.9200 data_time: 0.0285 memory: 32703 grad_norm: 18.4508 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9444 loss: 0.9444 2022/07/31 02:56:24 - mmengine - INFO - Epoch(train) [53][1240/2505] lr: 5.0000e-06 eta: 3:47:18 time: 1.0543 data_time: 0.0420 memory: 32703 grad_norm: 19.5748 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0523 loss: 1.0523 2022/07/31 02:56:43 - mmengine - INFO - Epoch(train) [53][1260/2505] lr: 5.0000e-06 eta: 3:46:58 time: 0.9598 data_time: 0.0304 memory: 32703 grad_norm: 19.1210 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.6770 loss: 0.6770 2022/07/31 02:57:04 - mmengine - INFO - Epoch(train) [53][1280/2505] lr: 5.0000e-06 eta: 3:46:38 time: 1.0292 data_time: 0.0279 memory: 32703 grad_norm: 18.7874 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9404 loss: 0.9404 2022/07/31 02:57:23 - mmengine - INFO - Epoch(train) [53][1300/2505] lr: 5.0000e-06 eta: 3:46:18 time: 0.9602 data_time: 0.0270 memory: 32703 grad_norm: 18.2707 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0776 loss: 1.0776 2022/07/31 02:57:44 - mmengine - INFO - Epoch(train) [53][1320/2505] lr: 5.0000e-06 eta: 3:45:58 time: 1.0291 data_time: 0.0265 memory: 32703 grad_norm: 18.7173 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9209 loss: 0.9209 2022/07/31 02:58:02 - mmengine - INFO - Epoch(train) [53][1340/2505] lr: 5.0000e-06 eta: 3:45:39 time: 0.8978 data_time: 0.0279 memory: 32703 grad_norm: 19.7344 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1299 loss: 1.1299 2022/07/31 02:58:24 - mmengine - INFO - Epoch(train) [53][1360/2505] lr: 5.0000e-06 eta: 3:45:19 time: 1.1187 data_time: 0.0327 memory: 32703 grad_norm: 19.0870 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0388 loss: 1.0388 2022/07/31 02:58:41 - mmengine - INFO - Epoch(train) [53][1380/2505] lr: 5.0000e-06 eta: 3:44:59 time: 0.8489 data_time: 0.0331 memory: 32703 grad_norm: 19.0696 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0911 loss: 1.0911 2022/07/31 02:59:02 - mmengine - INFO - Epoch(train) [53][1400/2505] lr: 5.0000e-06 eta: 3:44:39 time: 1.0522 data_time: 0.0270 memory: 32703 grad_norm: 19.6094 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1033 loss: 1.1033 2022/07/31 02:59:20 - mmengine - INFO - Epoch(train) [53][1420/2505] lr: 5.0000e-06 eta: 3:44:19 time: 0.8925 data_time: 0.0303 memory: 32703 grad_norm: 19.3646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8671 loss: 0.8671 2022/07/31 02:59:41 - mmengine - INFO - Epoch(train) [53][1440/2505] lr: 5.0000e-06 eta: 3:44:00 time: 1.0344 data_time: 0.0282 memory: 32703 grad_norm: 18.7599 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9530 loss: 0.9530 2022/07/31 02:59:59 - mmengine - INFO - Epoch(train) [53][1460/2505] lr: 5.0000e-06 eta: 3:43:40 time: 0.9231 data_time: 0.0310 memory: 32703 grad_norm: 18.9079 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9459 loss: 0.9459 2022/07/31 03:00:21 - mmengine - INFO - Epoch(train) [53][1480/2505] lr: 5.0000e-06 eta: 3:43:20 time: 1.0683 data_time: 0.0277 memory: 32703 grad_norm: 18.8162 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0794 loss: 1.0794 2022/07/31 03:00:39 - mmengine - INFO - Epoch(train) [53][1500/2505] lr: 5.0000e-06 eta: 3:43:00 time: 0.9337 data_time: 0.0290 memory: 32703 grad_norm: 19.4398 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4304 loss: 1.4304 2022/07/31 03:00:59 - mmengine - INFO - Epoch(train) [53][1520/2505] lr: 5.0000e-06 eta: 3:42:40 time: 0.9948 data_time: 0.0262 memory: 32703 grad_norm: 18.6369 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0524 loss: 1.0524 2022/07/31 03:01:18 - mmengine - INFO - Epoch(train) [53][1540/2505] lr: 5.0000e-06 eta: 3:42:21 time: 0.9620 data_time: 0.0281 memory: 32703 grad_norm: 19.1865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1471 loss: 1.1471 2022/07/31 03:01:38 - mmengine - INFO - Epoch(train) [53][1560/2505] lr: 5.0000e-06 eta: 3:42:01 time: 1.0000 data_time: 0.0288 memory: 32703 grad_norm: 18.5095 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0991 loss: 1.0991 2022/07/31 03:01:57 - mmengine - INFO - Epoch(train) [53][1580/2505] lr: 5.0000e-06 eta: 3:41:41 time: 0.9471 data_time: 0.0297 memory: 32703 grad_norm: 18.9478 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9674 loss: 0.9674 2022/07/31 03:02:17 - mmengine - INFO - Epoch(train) [53][1600/2505] lr: 5.0000e-06 eta: 3:41:21 time: 0.9811 data_time: 0.0299 memory: 32703 grad_norm: 18.6752 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8488 loss: 0.8488 2022/07/31 03:02:37 - mmengine - INFO - Epoch(train) [53][1620/2505] lr: 5.0000e-06 eta: 3:41:01 time: 0.9977 data_time: 0.0294 memory: 32703 grad_norm: 18.8995 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9251 loss: 0.9251 2022/07/31 03:02:56 - mmengine - INFO - Epoch(train) [53][1640/2505] lr: 5.0000e-06 eta: 3:40:42 time: 0.9557 data_time: 0.0277 memory: 32703 grad_norm: 18.9757 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0368 loss: 1.0368 2022/07/31 03:03:17 - mmengine - INFO - Epoch(train) [53][1660/2505] lr: 5.0000e-06 eta: 3:40:22 time: 1.0322 data_time: 0.0294 memory: 32703 grad_norm: 19.5883 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1411 loss: 1.1411 2022/07/31 03:03:35 - mmengine - INFO - Epoch(train) [53][1680/2505] lr: 5.0000e-06 eta: 3:40:02 time: 0.9369 data_time: 0.0447 memory: 32703 grad_norm: 19.0288 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8861 loss: 0.8861 2022/07/31 03:03:56 - mmengine - INFO - Epoch(train) [53][1700/2505] lr: 5.0000e-06 eta: 3:39:42 time: 1.0079 data_time: 0.0291 memory: 32703 grad_norm: 19.0718 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1597 loss: 1.1597 2022/07/31 03:04:16 - mmengine - INFO - Epoch(train) [53][1720/2505] lr: 5.0000e-06 eta: 3:39:22 time: 1.0021 data_time: 0.0275 memory: 32703 grad_norm: 19.3585 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9506 loss: 0.9506 2022/07/31 03:04:34 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 03:04:34 - mmengine - INFO - Epoch(train) [53][1740/2505] lr: 5.0000e-06 eta: 3:39:03 time: 0.9291 data_time: 0.0281 memory: 32703 grad_norm: 18.8996 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.7681 loss: 0.7681 2022/07/31 03:04:55 - mmengine - INFO - Epoch(train) [53][1760/2505] lr: 5.0000e-06 eta: 3:38:43 time: 1.0585 data_time: 0.0271 memory: 32703 grad_norm: 18.7791 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9872 loss: 0.9872 2022/07/31 03:05:15 - mmengine - INFO - Epoch(train) [53][1780/2505] lr: 5.0000e-06 eta: 3:38:23 time: 0.9847 data_time: 0.0300 memory: 32703 grad_norm: 19.0133 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9123 loss: 0.9123 2022/07/31 03:05:35 - mmengine - INFO - Epoch(train) [53][1800/2505] lr: 5.0000e-06 eta: 3:38:03 time: 1.0041 data_time: 0.0342 memory: 32703 grad_norm: 18.6847 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9118 loss: 0.9118 2022/07/31 03:05:54 - mmengine - INFO - Epoch(train) [53][1820/2505] lr: 5.0000e-06 eta: 3:37:44 time: 0.9272 data_time: 0.0284 memory: 32703 grad_norm: 19.4408 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0771 loss: 1.0771 2022/07/31 03:06:14 - mmengine - INFO - Epoch(train) [53][1840/2505] lr: 5.0000e-06 eta: 3:37:24 time: 0.9990 data_time: 0.0275 memory: 32703 grad_norm: 18.8163 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0393 loss: 1.0393 2022/07/31 03:06:34 - mmengine - INFO - Epoch(train) [53][1860/2505] lr: 5.0000e-06 eta: 3:37:04 time: 0.9959 data_time: 0.0284 memory: 32703 grad_norm: 19.9610 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8938 loss: 0.8938 2022/07/31 03:06:53 - mmengine - INFO - Epoch(train) [53][1880/2505] lr: 5.0000e-06 eta: 3:36:44 time: 0.9767 data_time: 0.0276 memory: 32703 grad_norm: 19.3035 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0137 loss: 1.0137 2022/07/31 03:07:14 - mmengine - INFO - Epoch(train) [53][1900/2505] lr: 5.0000e-06 eta: 3:36:24 time: 1.0302 data_time: 0.0339 memory: 32703 grad_norm: 18.8007 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8136 loss: 0.8136 2022/07/31 03:07:33 - mmengine - INFO - Epoch(train) [53][1920/2505] lr: 5.0000e-06 eta: 3:36:05 time: 0.9541 data_time: 0.0312 memory: 32703 grad_norm: 18.3190 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7623 loss: 0.7623 2022/07/31 03:07:52 - mmengine - INFO - Epoch(train) [53][1940/2505] lr: 5.0000e-06 eta: 3:35:45 time: 0.9524 data_time: 0.0279 memory: 32703 grad_norm: 18.5629 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8608 loss: 0.8608 2022/07/31 03:08:12 - mmengine - INFO - Epoch(train) [53][1960/2505] lr: 5.0000e-06 eta: 3:35:25 time: 0.9997 data_time: 0.0277 memory: 32703 grad_norm: 19.7252 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9782 loss: 0.9782 2022/07/31 03:08:31 - mmengine - INFO - Epoch(train) [53][1980/2505] lr: 5.0000e-06 eta: 3:35:05 time: 0.9437 data_time: 0.0319 memory: 32703 grad_norm: 19.4238 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0612 loss: 1.0612 2022/07/31 03:08:51 - mmengine - INFO - Epoch(train) [53][2000/2505] lr: 5.0000e-06 eta: 3:34:45 time: 1.0281 data_time: 0.0263 memory: 32703 grad_norm: 19.5351 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0078 loss: 1.0078 2022/07/31 03:09:09 - mmengine - INFO - Epoch(train) [53][2020/2505] lr: 5.0000e-06 eta: 3:34:26 time: 0.8956 data_time: 0.0332 memory: 32703 grad_norm: 19.2915 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9648 loss: 0.9648 2022/07/31 03:09:31 - mmengine - INFO - Epoch(train) [53][2040/2505] lr: 5.0000e-06 eta: 3:34:06 time: 1.0845 data_time: 0.0262 memory: 32703 grad_norm: 19.5671 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0348 loss: 1.0348 2022/07/31 03:09:49 - mmengine - INFO - Epoch(train) [53][2060/2505] lr: 5.0000e-06 eta: 3:33:46 time: 0.9057 data_time: 0.0278 memory: 32703 grad_norm: 19.8512 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9392 loss: 0.9392 2022/07/31 03:10:11 - mmengine - INFO - Epoch(train) [53][2080/2505] lr: 5.0000e-06 eta: 3:33:26 time: 1.0960 data_time: 0.0260 memory: 32703 grad_norm: 18.8363 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9670 loss: 0.9670 2022/07/31 03:10:29 - mmengine - INFO - Epoch(train) [53][2100/2505] lr: 5.0000e-06 eta: 3:33:06 time: 0.8897 data_time: 0.0286 memory: 32703 grad_norm: 19.1998 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9362 loss: 0.9362 2022/07/31 03:10:50 - mmengine - INFO - Epoch(train) [53][2120/2505] lr: 5.0000e-06 eta: 3:32:47 time: 1.0702 data_time: 0.0259 memory: 32703 grad_norm: 19.1833 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0995 loss: 1.0995 2022/07/31 03:11:09 - mmengine - INFO - Epoch(train) [53][2140/2505] lr: 5.0000e-06 eta: 3:32:27 time: 0.9349 data_time: 0.0307 memory: 32703 grad_norm: 19.7199 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2056 loss: 1.2056 2022/07/31 03:11:30 - mmengine - INFO - Epoch(train) [53][2160/2505] lr: 5.0000e-06 eta: 3:32:07 time: 1.0358 data_time: 0.0295 memory: 32703 grad_norm: 18.9911 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0343 loss: 1.0343 2022/07/31 03:11:48 - mmengine - INFO - Epoch(train) [53][2180/2505] lr: 5.0000e-06 eta: 3:31:47 time: 0.9360 data_time: 0.0276 memory: 32703 grad_norm: 19.6659 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.8998 loss: 0.8998 2022/07/31 03:12:09 - mmengine - INFO - Epoch(train) [53][2200/2505] lr: 5.0000e-06 eta: 3:31:28 time: 1.0297 data_time: 0.0290 memory: 32703 grad_norm: 19.0258 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8672 loss: 0.8672 2022/07/31 03:12:28 - mmengine - INFO - Epoch(train) [53][2220/2505] lr: 5.0000e-06 eta: 3:31:08 time: 0.9333 data_time: 0.0273 memory: 32703 grad_norm: 18.2541 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0473 loss: 1.0473 2022/07/31 03:12:48 - mmengine - INFO - Epoch(train) [53][2240/2505] lr: 5.0000e-06 eta: 3:30:48 time: 1.0085 data_time: 0.0280 memory: 32703 grad_norm: 19.0238 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8835 loss: 0.8835 2022/07/31 03:13:07 - mmengine - INFO - Epoch(train) [53][2260/2505] lr: 5.0000e-06 eta: 3:30:28 time: 0.9716 data_time: 0.0287 memory: 32703 grad_norm: 19.2748 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8223 loss: 0.8223 2022/07/31 03:13:28 - mmengine - INFO - Epoch(train) [53][2280/2505] lr: 5.0000e-06 eta: 3:30:08 time: 1.0201 data_time: 0.0293 memory: 32703 grad_norm: 19.1019 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.1002 loss: 1.1002 2022/07/31 03:13:47 - mmengine - INFO - Epoch(train) [53][2300/2505] lr: 5.0000e-06 eta: 3:29:49 time: 0.9550 data_time: 0.0280 memory: 32703 grad_norm: 19.4792 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1048 loss: 1.1048 2022/07/31 03:14:08 - mmengine - INFO - Epoch(train) [53][2320/2505] lr: 5.0000e-06 eta: 3:29:29 time: 1.0309 data_time: 0.0259 memory: 32703 grad_norm: 19.0888 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9288 loss: 0.9288 2022/07/31 03:14:26 - mmengine - INFO - Epoch(train) [53][2340/2505] lr: 5.0000e-06 eta: 3:29:09 time: 0.9200 data_time: 0.0316 memory: 32703 grad_norm: 19.1143 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.0360 loss: 1.0360 2022/07/31 03:14:47 - mmengine - INFO - Epoch(train) [53][2360/2505] lr: 5.0000e-06 eta: 3:28:49 time: 1.0641 data_time: 0.0269 memory: 32703 grad_norm: 19.4574 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9318 loss: 0.9318 2022/07/31 03:15:06 - mmengine - INFO - Epoch(train) [53][2380/2505] lr: 5.0000e-06 eta: 3:28:30 time: 0.9611 data_time: 0.0315 memory: 32703 grad_norm: 18.7804 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0228 loss: 1.0228 2022/07/31 03:15:27 - mmengine - INFO - Epoch(train) [53][2400/2505] lr: 5.0000e-06 eta: 3:28:10 time: 1.0505 data_time: 0.0285 memory: 32703 grad_norm: 18.9803 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9383 loss: 0.9383 2022/07/31 03:15:45 - mmengine - INFO - Epoch(train) [53][2420/2505] lr: 5.0000e-06 eta: 3:27:50 time: 0.8867 data_time: 0.0285 memory: 32703 grad_norm: 19.2234 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9342 loss: 0.9342 2022/07/31 03:16:07 - mmengine - INFO - Epoch(train) [53][2440/2505] lr: 5.0000e-06 eta: 3:27:30 time: 1.0664 data_time: 0.0271 memory: 32703 grad_norm: 18.3857 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9276 loss: 0.9276 2022/07/31 03:16:24 - mmengine - INFO - Epoch(train) [53][2460/2505] lr: 5.0000e-06 eta: 3:27:10 time: 0.8890 data_time: 0.0293 memory: 32703 grad_norm: 19.2139 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0046 loss: 1.0046 2022/07/31 03:16:47 - mmengine - INFO - Epoch(train) [53][2480/2505] lr: 5.0000e-06 eta: 3:26:51 time: 1.1556 data_time: 0.0252 memory: 32703 grad_norm: 19.7591 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0146 loss: 1.0146 2022/07/31 03:17:04 - mmengine - INFO - Epoch(train) [53][2500/2505] lr: 5.0000e-06 eta: 3:26:31 time: 0.8160 data_time: 0.0304 memory: 32703 grad_norm: 19.5392 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7736 loss: 0.7736 2022/07/31 03:17:07 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 03:17:07 - mmengine - INFO - Epoch(train) [53][2505/2505] lr: 5.0000e-06 eta: 3:26:31 time: 0.7484 data_time: 0.0241 memory: 32703 grad_norm: 19.3914 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8099 loss: 0.8099 2022/07/31 03:17:34 - mmengine - INFO - Epoch(train) [54][20/2505] lr: 5.0000e-06 eta: 3:26:06 time: 1.3452 data_time: 0.7542 memory: 32703 grad_norm: 19.2205 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0514 loss: 1.0514 2022/07/31 03:17:52 - mmengine - INFO - Epoch(train) [54][40/2505] lr: 5.0000e-06 eta: 3:25:46 time: 0.9081 data_time: 0.3009 memory: 32703 grad_norm: 19.4493 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0771 loss: 1.0771 2022/07/31 03:18:14 - mmengine - INFO - Epoch(train) [54][60/2505] lr: 5.0000e-06 eta: 3:25:27 time: 1.1150 data_time: 0.4690 memory: 32703 grad_norm: 18.5998 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8510 loss: 0.8510 2022/07/31 03:18:32 - mmengine - INFO - Epoch(train) [54][80/2505] lr: 5.0000e-06 eta: 3:25:07 time: 0.9002 data_time: 0.2652 memory: 32703 grad_norm: 19.0663 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9410 loss: 0.9410 2022/07/31 03:18:54 - mmengine - INFO - Epoch(train) [54][100/2505] lr: 5.0000e-06 eta: 3:24:47 time: 1.0876 data_time: 0.3913 memory: 32703 grad_norm: 19.5370 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9812 loss: 0.9812 2022/07/31 03:19:12 - mmengine - INFO - Epoch(train) [54][120/2505] lr: 5.0000e-06 eta: 3:24:27 time: 0.9177 data_time: 0.3469 memory: 32703 grad_norm: 19.3472 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8611 loss: 0.8611 2022/07/31 03:19:34 - mmengine - INFO - Epoch(train) [54][140/2505] lr: 5.0000e-06 eta: 3:24:08 time: 1.0850 data_time: 0.4833 memory: 32703 grad_norm: 19.0737 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1023 loss: 1.1023 2022/07/31 03:19:52 - mmengine - INFO - Epoch(train) [54][160/2505] lr: 5.0000e-06 eta: 3:23:48 time: 0.8845 data_time: 0.2954 memory: 32703 grad_norm: 19.8087 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1877 loss: 1.1877 2022/07/31 03:20:14 - mmengine - INFO - Epoch(train) [54][180/2505] lr: 5.0000e-06 eta: 3:23:28 time: 1.1319 data_time: 0.5391 memory: 32703 grad_norm: 19.0992 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8036 loss: 0.8036 2022/07/31 03:20:32 - mmengine - INFO - Epoch(train) [54][200/2505] lr: 5.0000e-06 eta: 3:23:08 time: 0.9117 data_time: 0.3175 memory: 32703 grad_norm: 20.1023 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9803 loss: 0.9803 2022/07/31 03:20:54 - mmengine - INFO - Epoch(train) [54][220/2505] lr: 5.0000e-06 eta: 3:22:49 time: 1.0707 data_time: 0.4661 memory: 32703 grad_norm: 18.9952 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0516 loss: 1.0516 2022/07/31 03:21:09 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 03:21:12 - mmengine - INFO - Epoch(train) [54][240/2505] lr: 5.0000e-06 eta: 3:22:29 time: 0.8838 data_time: 0.3062 memory: 32703 grad_norm: 19.5916 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8562 loss: 0.8562 2022/07/31 03:21:33 - mmengine - INFO - Epoch(train) [54][260/2505] lr: 5.0000e-06 eta: 3:22:09 time: 1.0569 data_time: 0.4601 memory: 32703 grad_norm: 19.2743 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0369 loss: 1.0369 2022/07/31 03:21:52 - mmengine - INFO - Epoch(train) [54][280/2505] lr: 5.0000e-06 eta: 3:21:49 time: 0.9506 data_time: 0.3568 memory: 32703 grad_norm: 19.9394 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9330 loss: 0.9330 2022/07/31 03:22:13 - mmengine - INFO - Epoch(train) [54][300/2505] lr: 5.0000e-06 eta: 3:21:30 time: 1.0540 data_time: 0.4461 memory: 32703 grad_norm: 19.9041 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0249 loss: 1.0249 2022/07/31 03:22:32 - mmengine - INFO - Epoch(train) [54][320/2505] lr: 5.0000e-06 eta: 3:21:10 time: 0.9534 data_time: 0.3612 memory: 32703 grad_norm: 19.4434 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8568 loss: 0.8568 2022/07/31 03:22:53 - mmengine - INFO - Epoch(train) [54][340/2505] lr: 5.0000e-06 eta: 3:20:50 time: 1.0577 data_time: 0.4589 memory: 32703 grad_norm: 19.4022 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9219 loss: 0.9219 2022/07/31 03:23:11 - mmengine - INFO - Epoch(train) [54][360/2505] lr: 5.0000e-06 eta: 3:20:30 time: 0.8869 data_time: 0.3093 memory: 32703 grad_norm: 19.1927 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0458 loss: 1.0458 2022/07/31 03:23:31 - mmengine - INFO - Epoch(train) [54][380/2505] lr: 5.0000e-06 eta: 3:20:10 time: 1.0339 data_time: 0.4393 memory: 32703 grad_norm: 19.7695 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0675 loss: 1.0675 2022/07/31 03:23:51 - mmengine - INFO - Epoch(train) [54][400/2505] lr: 5.0000e-06 eta: 3:19:51 time: 0.9515 data_time: 0.3572 memory: 32703 grad_norm: 18.4123 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8962 loss: 0.8962 2022/07/31 03:24:11 - mmengine - INFO - Epoch(train) [54][420/2505] lr: 5.0000e-06 eta: 3:19:31 time: 1.0251 data_time: 0.4303 memory: 32703 grad_norm: 19.3975 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9401 loss: 0.9401 2022/07/31 03:24:30 - mmengine - INFO - Epoch(train) [54][440/2505] lr: 5.0000e-06 eta: 3:19:11 time: 0.9524 data_time: 0.3464 memory: 32703 grad_norm: 19.0380 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.8907 loss: 0.8907 2022/07/31 03:24:51 - mmengine - INFO - Epoch(train) [54][460/2505] lr: 5.0000e-06 eta: 3:18:51 time: 1.0293 data_time: 0.4489 memory: 32703 grad_norm: 19.0860 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8792 loss: 0.8792 2022/07/31 03:25:10 - mmengine - INFO - Epoch(train) [54][480/2505] lr: 5.0000e-06 eta: 3:18:31 time: 0.9754 data_time: 0.3771 memory: 32703 grad_norm: 18.7830 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0247 loss: 1.0247 2022/07/31 03:25:32 - mmengine - INFO - Epoch(train) [54][500/2505] lr: 5.0000e-06 eta: 3:18:12 time: 1.0770 data_time: 0.4850 memory: 32703 grad_norm: 18.7928 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9122 loss: 0.9122 2022/07/31 03:25:49 - mmengine - INFO - Epoch(train) [54][520/2505] lr: 5.0000e-06 eta: 3:17:52 time: 0.8845 data_time: 0.2935 memory: 32703 grad_norm: 19.7210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9656 loss: 0.9656 2022/07/31 03:26:09 - mmengine - INFO - Epoch(train) [54][540/2505] lr: 5.0000e-06 eta: 3:17:32 time: 0.9916 data_time: 0.4062 memory: 32703 grad_norm: 19.7185 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9517 loss: 0.9517 2022/07/31 03:26:28 - mmengine - INFO - Epoch(train) [54][560/2505] lr: 5.0000e-06 eta: 3:17:12 time: 0.9417 data_time: 0.3448 memory: 32703 grad_norm: 19.1245 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9832 loss: 0.9832 2022/07/31 03:26:49 - mmengine - INFO - Epoch(train) [54][580/2505] lr: 5.0000e-06 eta: 3:16:53 time: 1.0337 data_time: 0.4517 memory: 32703 grad_norm: 20.1023 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1520 loss: 1.1520 2022/07/31 03:27:08 - mmengine - INFO - Epoch(train) [54][600/2505] lr: 5.0000e-06 eta: 3:16:33 time: 0.9340 data_time: 0.3275 memory: 32703 grad_norm: 20.0968 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9971 loss: 0.9971 2022/07/31 03:27:28 - mmengine - INFO - Epoch(train) [54][620/2505] lr: 5.0000e-06 eta: 3:16:13 time: 1.0417 data_time: 0.4163 memory: 32703 grad_norm: 19.1459 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0041 loss: 1.0041 2022/07/31 03:27:47 - mmengine - INFO - Epoch(train) [54][640/2505] lr: 5.0000e-06 eta: 3:15:53 time: 0.9339 data_time: 0.2611 memory: 32703 grad_norm: 18.9627 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.8603 loss: 0.8603 2022/07/31 03:28:08 - mmengine - INFO - Epoch(train) [54][660/2505] lr: 5.0000e-06 eta: 3:15:33 time: 1.0407 data_time: 0.3435 memory: 32703 grad_norm: 19.8271 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9854 loss: 0.9854 2022/07/31 03:28:27 - mmengine - INFO - Epoch(train) [54][680/2505] lr: 5.0000e-06 eta: 3:15:14 time: 0.9612 data_time: 0.2537 memory: 32703 grad_norm: 20.1297 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8760 loss: 0.8760 2022/07/31 03:28:47 - mmengine - INFO - Epoch(train) [54][700/2505] lr: 5.0000e-06 eta: 3:14:54 time: 1.0024 data_time: 0.2927 memory: 32703 grad_norm: 20.0088 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0847 loss: 1.0847 2022/07/31 03:29:07 - mmengine - INFO - Epoch(train) [54][720/2505] lr: 5.0000e-06 eta: 3:14:34 time: 0.9697 data_time: 0.1877 memory: 32703 grad_norm: 18.7225 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7642 loss: 0.7642 2022/07/31 03:29:26 - mmengine - INFO - Epoch(train) [54][740/2505] lr: 5.0000e-06 eta: 3:14:14 time: 0.9669 data_time: 0.1916 memory: 32703 grad_norm: 18.8676 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8044 loss: 0.8044 2022/07/31 03:29:46 - mmengine - INFO - Epoch(train) [54][760/2505] lr: 5.0000e-06 eta: 3:13:54 time: 0.9876 data_time: 0.1570 memory: 32703 grad_norm: 19.3737 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9606 loss: 0.9606 2022/07/31 03:30:07 - mmengine - INFO - Epoch(train) [54][780/2505] lr: 5.0000e-06 eta: 3:13:35 time: 1.0824 data_time: 0.4796 memory: 32703 grad_norm: 20.2941 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9000 loss: 0.9000 2022/07/31 03:30:25 - mmengine - INFO - Epoch(train) [54][800/2505] lr: 5.0000e-06 eta: 3:13:15 time: 0.8852 data_time: 0.2872 memory: 32703 grad_norm: 19.2738 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8299 loss: 0.8299 2022/07/31 03:30:47 - mmengine - INFO - Epoch(train) [54][820/2505] lr: 5.0000e-06 eta: 3:12:55 time: 1.0888 data_time: 0.4821 memory: 32703 grad_norm: 19.1990 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1026 loss: 1.1026 2022/07/31 03:31:05 - mmengine - INFO - Epoch(train) [54][840/2505] lr: 5.0000e-06 eta: 3:12:35 time: 0.8975 data_time: 0.3045 memory: 32703 grad_norm: 19.0101 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9503 loss: 0.9503 2022/07/31 03:31:26 - mmengine - INFO - Epoch(train) [54][860/2505] lr: 5.0000e-06 eta: 3:12:16 time: 1.0417 data_time: 0.4301 memory: 32703 grad_norm: 19.6003 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8308 loss: 0.8308 2022/07/31 03:31:43 - mmengine - INFO - Epoch(train) [54][880/2505] lr: 5.0000e-06 eta: 3:11:56 time: 0.8826 data_time: 0.3048 memory: 32703 grad_norm: 18.0570 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7543 loss: 0.7543 2022/07/31 03:32:06 - mmengine - INFO - Epoch(train) [54][900/2505] lr: 5.0000e-06 eta: 3:11:36 time: 1.1470 data_time: 0.5288 memory: 32703 grad_norm: 19.8691 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0070 loss: 1.0070 2022/07/31 03:32:23 - mmengine - INFO - Epoch(train) [54][920/2505] lr: 5.0000e-06 eta: 3:11:16 time: 0.8620 data_time: 0.2852 memory: 32703 grad_norm: 19.0011 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0900 loss: 1.0900 2022/07/31 03:32:44 - mmengine - INFO - Epoch(train) [54][940/2505] lr: 5.0000e-06 eta: 3:10:56 time: 1.0353 data_time: 0.4169 memory: 32703 grad_norm: 18.7704 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9022 loss: 0.9022 2022/07/31 03:33:03 - mmengine - INFO - Epoch(train) [54][960/2505] lr: 5.0000e-06 eta: 3:10:37 time: 0.9370 data_time: 0.2676 memory: 32703 grad_norm: 19.1269 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2399 loss: 1.2399 2022/07/31 03:33:23 - mmengine - INFO - Epoch(train) [54][980/2505] lr: 5.0000e-06 eta: 3:10:17 time: 1.0219 data_time: 0.3453 memory: 32703 grad_norm: 18.9339 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1623 loss: 1.1623 2022/07/31 03:33:43 - mmengine - INFO - Epoch(train) [54][1000/2505] lr: 5.0000e-06 eta: 3:09:57 time: 0.9860 data_time: 0.1633 memory: 32703 grad_norm: 18.7607 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9138 loss: 0.9138 2022/07/31 03:34:02 - mmengine - INFO - Epoch(train) [54][1020/2505] lr: 5.0000e-06 eta: 3:09:37 time: 0.9442 data_time: 0.1110 memory: 32703 grad_norm: 19.9549 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9655 loss: 0.9655 2022/07/31 03:34:23 - mmengine - INFO - Epoch(train) [54][1040/2505] lr: 5.0000e-06 eta: 3:09:18 time: 1.0275 data_time: 0.0290 memory: 32703 grad_norm: 19.2159 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7861 loss: 0.7861 2022/07/31 03:34:41 - mmengine - INFO - Epoch(train) [54][1060/2505] lr: 5.0000e-06 eta: 3:08:58 time: 0.9078 data_time: 0.0417 memory: 32703 grad_norm: 19.0588 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0910 loss: 1.0910 2022/07/31 03:35:02 - mmengine - INFO - Epoch(train) [54][1080/2505] lr: 5.0000e-06 eta: 3:08:38 time: 1.0802 data_time: 0.0306 memory: 32703 grad_norm: 19.6217 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9947 loss: 0.9947 2022/07/31 03:35:22 - mmengine - INFO - Epoch(train) [54][1100/2505] lr: 5.0000e-06 eta: 3:08:18 time: 0.9936 data_time: 0.0326 memory: 32703 grad_norm: 18.7859 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8548 loss: 0.8548 2022/07/31 03:35:42 - mmengine - INFO - Epoch(train) [54][1120/2505] lr: 5.0000e-06 eta: 3:07:58 time: 0.9949 data_time: 0.0261 memory: 32703 grad_norm: 20.0231 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9631 loss: 0.9631 2022/07/31 03:36:01 - mmengine - INFO - Epoch(train) [54][1140/2505] lr: 5.0000e-06 eta: 3:07:39 time: 0.9306 data_time: 0.0322 memory: 32703 grad_norm: 19.4306 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 0.8785 loss: 0.8785 2022/07/31 03:36:22 - mmengine - INFO - Epoch(train) [54][1160/2505] lr: 5.0000e-06 eta: 3:07:19 time: 1.0517 data_time: 0.0294 memory: 32703 grad_norm: 19.1428 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7959 loss: 0.7959 2022/07/31 03:36:40 - mmengine - INFO - Epoch(train) [54][1180/2505] lr: 5.0000e-06 eta: 3:06:59 time: 0.9281 data_time: 0.0276 memory: 32703 grad_norm: 18.9438 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8280 loss: 0.8280 2022/07/31 03:37:02 - mmengine - INFO - Epoch(train) [54][1200/2505] lr: 5.0000e-06 eta: 3:06:39 time: 1.1047 data_time: 0.0287 memory: 32703 grad_norm: 19.2562 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0360 loss: 1.0360 2022/07/31 03:37:20 - mmengine - INFO - Epoch(train) [54][1220/2505] lr: 5.0000e-06 eta: 3:06:19 time: 0.8839 data_time: 0.0280 memory: 32703 grad_norm: 19.1214 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8494 loss: 0.8494 2022/07/31 03:37:35 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 03:37:41 - mmengine - INFO - Epoch(train) [54][1240/2505] lr: 5.0000e-06 eta: 3:06:00 time: 1.0585 data_time: 0.0367 memory: 32703 grad_norm: 18.2526 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8126 loss: 0.8126 2022/07/31 03:38:00 - mmengine - INFO - Epoch(train) [54][1260/2505] lr: 5.0000e-06 eta: 3:05:40 time: 0.9080 data_time: 0.0292 memory: 32703 grad_norm: 18.7017 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0210 loss: 1.0210 2022/07/31 03:38:20 - mmengine - INFO - Epoch(train) [54][1280/2505] lr: 5.0000e-06 eta: 3:05:20 time: 1.0331 data_time: 0.0303 memory: 32703 grad_norm: 19.1585 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0139 loss: 1.0139 2022/07/31 03:38:38 - mmengine - INFO - Epoch(train) [54][1300/2505] lr: 5.0000e-06 eta: 3:05:00 time: 0.8949 data_time: 0.0274 memory: 32703 grad_norm: 19.2567 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0610 loss: 1.0610 2022/07/31 03:38:59 - mmengine - INFO - Epoch(train) [54][1320/2505] lr: 5.0000e-06 eta: 3:04:41 time: 1.0649 data_time: 0.0316 memory: 32703 grad_norm: 19.4065 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0824 loss: 1.0824 2022/07/31 03:39:18 - mmengine - INFO - Epoch(train) [54][1340/2505] lr: 5.0000e-06 eta: 3:04:21 time: 0.9394 data_time: 0.0294 memory: 32703 grad_norm: 18.9432 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8380 loss: 0.8380 2022/07/31 03:39:40 - mmengine - INFO - Epoch(train) [54][1360/2505] lr: 5.0000e-06 eta: 3:04:01 time: 1.0664 data_time: 0.0355 memory: 32703 grad_norm: 18.4575 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0781 loss: 1.0781 2022/07/31 03:39:58 - mmengine - INFO - Epoch(train) [54][1380/2505] lr: 5.0000e-06 eta: 3:03:41 time: 0.9166 data_time: 0.0384 memory: 32703 grad_norm: 18.8264 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9645 loss: 0.9645 2022/07/31 03:40:20 - mmengine - INFO - Epoch(train) [54][1400/2505] lr: 5.0000e-06 eta: 3:03:22 time: 1.1142 data_time: 0.0352 memory: 32703 grad_norm: 20.3816 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2178 loss: 1.2178 2022/07/31 03:40:37 - mmengine - INFO - Epoch(train) [54][1420/2505] lr: 5.0000e-06 eta: 3:03:02 time: 0.8534 data_time: 0.0292 memory: 32703 grad_norm: 18.6520 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8690 loss: 0.8690 2022/07/31 03:40:58 - mmengine - INFO - Epoch(train) [54][1440/2505] lr: 5.0000e-06 eta: 3:02:42 time: 1.0428 data_time: 0.0334 memory: 32703 grad_norm: 19.4315 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9546 loss: 0.9546 2022/07/31 03:41:16 - mmengine - INFO - Epoch(train) [54][1460/2505] lr: 5.0000e-06 eta: 3:02:22 time: 0.8723 data_time: 0.0299 memory: 32703 grad_norm: 19.4180 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7949 loss: 0.7949 2022/07/31 03:41:37 - mmengine - INFO - Epoch(train) [54][1480/2505] lr: 5.0000e-06 eta: 3:02:02 time: 1.0793 data_time: 0.0292 memory: 32703 grad_norm: 19.0914 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0338 loss: 1.0338 2022/07/31 03:41:55 - mmengine - INFO - Epoch(train) [54][1500/2505] lr: 5.0000e-06 eta: 3:01:42 time: 0.9125 data_time: 0.0320 memory: 32703 grad_norm: 19.3427 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1952 loss: 1.1952 2022/07/31 03:42:18 - mmengine - INFO - Epoch(train) [54][1520/2505] lr: 5.0000e-06 eta: 3:01:23 time: 1.1129 data_time: 0.0295 memory: 32703 grad_norm: 19.8803 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8469 loss: 0.8469 2022/07/31 03:42:35 - mmengine - INFO - Epoch(train) [54][1540/2505] lr: 5.0000e-06 eta: 3:01:03 time: 0.8825 data_time: 0.0329 memory: 32703 grad_norm: 19.4109 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0630 loss: 1.0630 2022/07/31 03:42:57 - mmengine - INFO - Epoch(train) [54][1560/2505] lr: 5.0000e-06 eta: 3:00:43 time: 1.0657 data_time: 0.0322 memory: 32703 grad_norm: 20.5412 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8065 loss: 0.8065 2022/07/31 03:43:14 - mmengine - INFO - Epoch(train) [54][1580/2505] lr: 5.0000e-06 eta: 3:00:23 time: 0.8872 data_time: 0.0276 memory: 32703 grad_norm: 19.2635 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0527 loss: 1.0527 2022/07/31 03:43:36 - mmengine - INFO - Epoch(train) [54][1600/2505] lr: 5.0000e-06 eta: 3:00:04 time: 1.0708 data_time: 0.0300 memory: 32703 grad_norm: 19.2686 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0077 loss: 1.0077 2022/07/31 03:43:54 - mmengine - INFO - Epoch(train) [54][1620/2505] lr: 5.0000e-06 eta: 2:59:44 time: 0.9298 data_time: 0.0321 memory: 32703 grad_norm: 18.3236 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7223 loss: 0.7223 2022/07/31 03:44:16 - mmengine - INFO - Epoch(train) [54][1640/2505] lr: 5.0000e-06 eta: 2:59:24 time: 1.0602 data_time: 0.0328 memory: 32703 grad_norm: 19.4550 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9092 loss: 0.9092 2022/07/31 03:44:34 - mmengine - INFO - Epoch(train) [54][1660/2505] lr: 5.0000e-06 eta: 2:59:04 time: 0.9281 data_time: 0.0339 memory: 32703 grad_norm: 18.9979 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8647 loss: 0.8647 2022/07/31 03:44:55 - mmengine - INFO - Epoch(train) [54][1680/2505] lr: 5.0000e-06 eta: 2:58:45 time: 1.0547 data_time: 0.0353 memory: 32703 grad_norm: 19.1353 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.7764 loss: 0.7764 2022/07/31 03:45:14 - mmengine - INFO - Epoch(train) [54][1700/2505] lr: 5.0000e-06 eta: 2:58:25 time: 0.9111 data_time: 0.0271 memory: 32703 grad_norm: 18.5983 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0090 loss: 1.0090 2022/07/31 03:45:35 - mmengine - INFO - Epoch(train) [54][1720/2505] lr: 5.0000e-06 eta: 2:58:05 time: 1.0554 data_time: 0.0283 memory: 32703 grad_norm: 19.2950 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0023 loss: 1.0023 2022/07/31 03:45:53 - mmengine - INFO - Epoch(train) [54][1740/2505] lr: 5.0000e-06 eta: 2:57:45 time: 0.9007 data_time: 0.0327 memory: 32703 grad_norm: 19.5782 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0906 loss: 1.0906 2022/07/31 03:46:14 - mmengine - INFO - Epoch(train) [54][1760/2505] lr: 5.0000e-06 eta: 2:57:25 time: 1.0546 data_time: 0.0275 memory: 32703 grad_norm: 19.1199 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8755 loss: 0.8755 2022/07/31 03:46:33 - mmengine - INFO - Epoch(train) [54][1780/2505] lr: 5.0000e-06 eta: 2:57:06 time: 0.9654 data_time: 0.0339 memory: 32703 grad_norm: 19.4470 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2194 loss: 1.2194 2022/07/31 03:46:54 - mmengine - INFO - Epoch(train) [54][1800/2505] lr: 5.0000e-06 eta: 2:56:46 time: 1.0137 data_time: 0.0347 memory: 32703 grad_norm: 19.8125 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1138 loss: 1.1138 2022/07/31 03:47:12 - mmengine - INFO - Epoch(train) [54][1820/2505] lr: 5.0000e-06 eta: 2:56:26 time: 0.9008 data_time: 0.0327 memory: 32703 grad_norm: 18.9057 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9172 loss: 0.9172 2022/07/31 03:47:34 - mmengine - INFO - Epoch(train) [54][1840/2505] lr: 5.0000e-06 eta: 2:56:06 time: 1.1204 data_time: 0.0322 memory: 32703 grad_norm: 18.4456 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.0264 loss: 1.0264 2022/07/31 03:47:52 - mmengine - INFO - Epoch(train) [54][1860/2505] lr: 5.0000e-06 eta: 2:55:46 time: 0.8862 data_time: 0.0285 memory: 32703 grad_norm: 19.2139 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9262 loss: 0.9262 2022/07/31 03:48:12 - mmengine - INFO - Epoch(train) [54][1880/2505] lr: 5.0000e-06 eta: 2:55:27 time: 1.0346 data_time: 0.0296 memory: 32703 grad_norm: 19.3972 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0648 loss: 1.0648 2022/07/31 03:48:30 - mmengine - INFO - Epoch(train) [54][1900/2505] lr: 5.0000e-06 eta: 2:55:07 time: 0.8899 data_time: 0.0322 memory: 32703 grad_norm: 19.4504 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1348 loss: 1.1348 2022/07/31 03:48:52 - mmengine - INFO - Epoch(train) [54][1920/2505] lr: 5.0000e-06 eta: 2:54:47 time: 1.0701 data_time: 0.0315 memory: 32703 grad_norm: 19.0407 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8785 loss: 0.8785 2022/07/31 03:49:09 - mmengine - INFO - Epoch(train) [54][1940/2505] lr: 5.0000e-06 eta: 2:54:27 time: 0.8834 data_time: 0.0283 memory: 32703 grad_norm: 19.1247 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0281 loss: 1.0281 2022/07/31 03:49:30 - mmengine - INFO - Epoch(train) [54][1960/2505] lr: 5.0000e-06 eta: 2:54:07 time: 1.0252 data_time: 0.0310 memory: 32703 grad_norm: 19.0271 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7789 loss: 0.7789 2022/07/31 03:49:48 - mmengine - INFO - Epoch(train) [54][1980/2505] lr: 5.0000e-06 eta: 2:53:48 time: 0.8940 data_time: 0.0358 memory: 32703 grad_norm: 20.0529 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2169 loss: 1.2169 2022/07/31 03:50:10 - mmengine - INFO - Epoch(train) [54][2000/2505] lr: 5.0000e-06 eta: 2:53:28 time: 1.0920 data_time: 0.0275 memory: 32703 grad_norm: 18.6426 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9538 loss: 0.9538 2022/07/31 03:50:28 - mmengine - INFO - Epoch(train) [54][2020/2505] lr: 5.0000e-06 eta: 2:53:08 time: 0.9042 data_time: 0.0329 memory: 32703 grad_norm: 18.7159 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8308 loss: 0.8308 2022/07/31 03:50:49 - mmengine - INFO - Epoch(train) [54][2040/2505] lr: 5.0000e-06 eta: 2:52:48 time: 1.0875 data_time: 0.0330 memory: 32703 grad_norm: 18.7552 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0093 loss: 1.0093 2022/07/31 03:51:08 - mmengine - INFO - Epoch(train) [54][2060/2505] lr: 5.0000e-06 eta: 2:52:28 time: 0.9148 data_time: 0.0335 memory: 32703 grad_norm: 18.5391 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8739 loss: 0.8739 2022/07/31 03:51:30 - mmengine - INFO - Epoch(train) [54][2080/2505] lr: 5.0000e-06 eta: 2:52:09 time: 1.1000 data_time: 0.0325 memory: 32703 grad_norm: 19.5606 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9423 loss: 0.9423 2022/07/31 03:51:48 - mmengine - INFO - Epoch(train) [54][2100/2505] lr: 5.0000e-06 eta: 2:51:49 time: 0.9181 data_time: 0.0279 memory: 32703 grad_norm: 18.8276 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0248 loss: 1.0248 2022/07/31 03:52:10 - mmengine - INFO - Epoch(train) [54][2120/2505] lr: 5.0000e-06 eta: 2:51:29 time: 1.0833 data_time: 0.0300 memory: 32703 grad_norm: 19.2518 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8357 loss: 0.8357 2022/07/31 03:52:27 - mmengine - INFO - Epoch(train) [54][2140/2505] lr: 5.0000e-06 eta: 2:51:09 time: 0.8720 data_time: 0.0348 memory: 32703 grad_norm: 19.0978 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2076 loss: 1.2076 2022/07/31 03:52:49 - mmengine - INFO - Epoch(train) [54][2160/2505] lr: 5.0000e-06 eta: 2:50:50 time: 1.0953 data_time: 0.0321 memory: 32703 grad_norm: 19.0485 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9779 loss: 0.9779 2022/07/31 03:53:07 - mmengine - INFO - Epoch(train) [54][2180/2505] lr: 5.0000e-06 eta: 2:50:30 time: 0.9051 data_time: 0.0372 memory: 32703 grad_norm: 19.8793 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0640 loss: 1.0640 2022/07/31 03:53:29 - mmengine - INFO - Epoch(train) [54][2200/2505] lr: 5.0000e-06 eta: 2:50:10 time: 1.1122 data_time: 0.0309 memory: 32703 grad_norm: 18.5809 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0149 loss: 1.0149 2022/07/31 03:53:47 - mmengine - INFO - Epoch(train) [54][2220/2505] lr: 5.0000e-06 eta: 2:49:50 time: 0.8658 data_time: 0.0342 memory: 32703 grad_norm: 18.8639 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0289 loss: 1.0289 2022/07/31 03:54:03 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 03:54:08 - mmengine - INFO - Epoch(train) [54][2240/2505] lr: 5.0000e-06 eta: 2:49:31 time: 1.0493 data_time: 0.0338 memory: 32703 grad_norm: 19.3103 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1199 loss: 1.1199 2022/07/31 03:54:26 - mmengine - INFO - Epoch(train) [54][2260/2505] lr: 5.0000e-06 eta: 2:49:11 time: 0.9084 data_time: 0.0287 memory: 32703 grad_norm: 19.7783 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0630 loss: 1.0630 2022/07/31 03:54:47 - mmengine - INFO - Epoch(train) [54][2280/2505] lr: 5.0000e-06 eta: 2:48:51 time: 1.0715 data_time: 0.0354 memory: 32703 grad_norm: 18.4123 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8744 loss: 0.8744 2022/07/31 03:55:05 - mmengine - INFO - Epoch(train) [54][2300/2505] lr: 5.0000e-06 eta: 2:48:31 time: 0.8865 data_time: 0.0321 memory: 32703 grad_norm: 18.3374 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9567 loss: 0.9567 2022/07/31 03:55:25 - mmengine - INFO - Epoch(train) [54][2320/2505] lr: 5.0000e-06 eta: 2:48:11 time: 1.0135 data_time: 0.0393 memory: 32703 grad_norm: 20.2539 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1529 loss: 1.1529 2022/07/31 03:55:45 - mmengine - INFO - Epoch(train) [54][2340/2505] lr: 5.0000e-06 eta: 2:47:52 time: 0.9591 data_time: 0.0279 memory: 32703 grad_norm: 19.9783 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0316 loss: 1.0316 2022/07/31 03:56:05 - mmengine - INFO - Epoch(train) [54][2360/2505] lr: 5.0000e-06 eta: 2:47:32 time: 1.0002 data_time: 0.0276 memory: 32703 grad_norm: 18.8742 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7804 loss: 0.7804 2022/07/31 03:56:23 - mmengine - INFO - Epoch(train) [54][2380/2505] lr: 5.0000e-06 eta: 2:47:12 time: 0.9055 data_time: 0.0278 memory: 32703 grad_norm: 20.1392 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9228 loss: 0.9228 2022/07/31 03:56:43 - mmengine - INFO - Epoch(train) [54][2400/2505] lr: 5.0000e-06 eta: 2:46:52 time: 1.0080 data_time: 0.0300 memory: 32703 grad_norm: 19.6096 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9507 loss: 0.9507 2022/07/31 03:57:01 - mmengine - INFO - Epoch(train) [54][2420/2505] lr: 5.0000e-06 eta: 2:46:32 time: 0.9150 data_time: 0.0278 memory: 32703 grad_norm: 19.1287 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8592 loss: 0.8592 2022/07/31 03:57:23 - mmengine - INFO - Epoch(train) [54][2440/2505] lr: 5.0000e-06 eta: 2:46:13 time: 1.1017 data_time: 0.0297 memory: 32703 grad_norm: 19.3246 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8564 loss: 0.8564 2022/07/31 03:57:41 - mmengine - INFO - Epoch(train) [54][2460/2505] lr: 5.0000e-06 eta: 2:45:53 time: 0.9063 data_time: 0.0295 memory: 32703 grad_norm: 19.1771 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 0.8998 loss: 0.8998 2022/07/31 03:58:02 - mmengine - INFO - Epoch(train) [54][2480/2505] lr: 5.0000e-06 eta: 2:45:33 time: 1.0361 data_time: 0.0285 memory: 32703 grad_norm: 18.4988 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7544 loss: 0.7544 2022/07/31 03:58:20 - mmengine - INFO - Epoch(train) [54][2500/2505] lr: 5.0000e-06 eta: 2:45:13 time: 0.8777 data_time: 0.0362 memory: 32703 grad_norm: 19.1660 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9380 loss: 0.9380 2022/07/31 03:58:22 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 03:58:22 - mmengine - INFO - Epoch(train) [54][2505/2505] lr: 5.0000e-06 eta: 2:45:13 time: 0.7042 data_time: 0.0189 memory: 32703 grad_norm: 19.4953 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9608 loss: 0.9608 2022/07/31 03:58:22 - mmengine - INFO - Saving checkpoint at 54 epochs 2022/07/31 03:58:29 - mmengine - INFO - Epoch(val) [54][20/2475] eta: 0:04:16 time: 0.1044 data_time: 0.0698 memory: 817 2022/07/31 03:58:31 - mmengine - INFO - Epoch(val) [54][40/2475] eta: 0:02:56 time: 0.0724 data_time: 0.0398 memory: 817 2022/07/31 03:58:33 - mmengine - INFO - Epoch(val) [54][60/2475] eta: 0:03:58 time: 0.0990 data_time: 0.0650 memory: 817 2022/07/31 03:58:34 - mmengine - INFO - Epoch(val) [54][80/2475] eta: 0:02:47 time: 0.0699 data_time: 0.0362 memory: 817 2022/07/31 03:58:36 - mmengine - INFO - Epoch(val) [54][100/2475] eta: 0:03:46 time: 0.0953 data_time: 0.0636 memory: 817 2022/07/31 03:58:37 - mmengine - INFO - Epoch(val) [54][120/2475] eta: 0:02:34 time: 0.0655 data_time: 0.0342 memory: 817 2022/07/31 03:58:39 - mmengine - INFO - Epoch(val) [54][140/2475] eta: 0:03:29 time: 0.0897 data_time: 0.0545 memory: 817 2022/07/31 03:58:41 - mmengine - INFO - Epoch(val) [54][160/2475] eta: 0:02:45 time: 0.0714 data_time: 0.0374 memory: 817 2022/07/31 03:58:42 - mmengine - INFO - Epoch(val) [54][180/2475] eta: 0:03:30 time: 0.0919 data_time: 0.0608 memory: 817 2022/07/31 03:58:44 - mmengine - INFO - Epoch(val) [54][200/2475] eta: 0:02:40 time: 0.0704 data_time: 0.0383 memory: 817 2022/07/31 03:58:46 - mmengine - INFO - Epoch(val) [54][220/2475] eta: 0:03:05 time: 0.0824 data_time: 0.0507 memory: 817 2022/07/31 03:58:47 - mmengine - INFO - Epoch(val) [54][240/2475] eta: 0:02:30 time: 0.0675 data_time: 0.0359 memory: 817 2022/07/31 03:58:49 - mmengine - INFO - Epoch(val) [54][260/2475] eta: 0:03:12 time: 0.0868 data_time: 0.0525 memory: 817 2022/07/31 03:58:50 - mmengine - INFO - Epoch(val) [54][280/2475] eta: 0:02:29 time: 0.0680 data_time: 0.0333 memory: 817 2022/07/31 03:58:52 - mmengine - INFO - Epoch(val) [54][300/2475] eta: 0:03:20 time: 0.0920 data_time: 0.0580 memory: 817 2022/07/31 03:58:54 - mmengine - INFO - Epoch(val) [54][320/2475] eta: 0:02:56 time: 0.0819 data_time: 0.0485 memory: 817 2022/07/31 03:58:55 - mmengine - INFO - Epoch(val) [54][340/2475] eta: 0:03:12 time: 0.0901 data_time: 0.0595 memory: 817 2022/07/31 03:58:57 - mmengine - INFO - Epoch(val) [54][360/2475] eta: 0:02:42 time: 0.0770 data_time: 0.0450 memory: 817 2022/07/31 03:58:58 - mmengine - INFO - Epoch(val) [54][380/2475] eta: 0:02:35 time: 0.0740 data_time: 0.0416 memory: 817 2022/07/31 03:59:00 - mmengine - INFO - Epoch(val) [54][400/2475] eta: 0:02:42 time: 0.0784 data_time: 0.0441 memory: 817 2022/07/31 03:59:02 - mmengine - INFO - Epoch(val) [54][420/2475] eta: 0:02:53 time: 0.0842 data_time: 0.0520 memory: 817 2022/07/31 03:59:03 - mmengine - INFO - Epoch(val) [54][440/2475] eta: 0:02:58 time: 0.0877 data_time: 0.0540 memory: 817 2022/07/31 03:59:05 - mmengine - INFO - Epoch(val) [54][460/2475] eta: 0:02:29 time: 0.0743 data_time: 0.0394 memory: 817 2022/07/31 03:59:07 - mmengine - INFO - Epoch(val) [54][480/2475] eta: 0:02:56 time: 0.0886 data_time: 0.0540 memory: 817 2022/07/31 03:59:08 - mmengine - INFO - Epoch(val) [54][500/2475] eta: 0:02:12 time: 0.0672 data_time: 0.0322 memory: 817 2022/07/31 03:59:10 - mmengine - INFO - Epoch(val) [54][520/2475] eta: 0:03:04 time: 0.0945 data_time: 0.0605 memory: 817 2022/07/31 03:59:11 - mmengine - INFO - Epoch(val) [54][540/2475] eta: 0:02:12 time: 0.0687 data_time: 0.0346 memory: 817 2022/07/31 03:59:13 - mmengine - INFO - Epoch(val) [54][560/2475] eta: 0:02:29 time: 0.0781 data_time: 0.0453 memory: 817 2022/07/31 03:59:14 - mmengine - INFO - Epoch(val) [54][580/2475] eta: 0:02:20 time: 0.0741 data_time: 0.0417 memory: 817 2022/07/31 03:59:16 - mmengine - INFO - Epoch(val) [54][600/2475] eta: 0:02:46 time: 0.0887 data_time: 0.0571 memory: 817 2022/07/31 03:59:18 - mmengine - INFO - Epoch(val) [54][620/2475] eta: 0:02:21 time: 0.0762 data_time: 0.0394 memory: 817 2022/07/31 03:59:19 - mmengine - INFO - Epoch(val) [54][640/2475] eta: 0:02:36 time: 0.0854 data_time: 0.0543 memory: 817 2022/07/31 03:59:21 - mmengine - INFO - Epoch(val) [54][660/2475] eta: 0:02:32 time: 0.0843 data_time: 0.0513 memory: 817 2022/07/31 03:59:23 - mmengine - INFO - Epoch(val) [54][680/2475] eta: 0:02:26 time: 0.0815 data_time: 0.0489 memory: 817 2022/07/31 03:59:24 - mmengine - INFO - Epoch(val) [54][700/2475] eta: 0:02:27 time: 0.0834 data_time: 0.0521 memory: 817 2022/07/31 03:59:26 - mmengine - INFO - Epoch(val) [54][720/2475] eta: 0:02:25 time: 0.0830 data_time: 0.0520 memory: 817 2022/07/31 03:59:28 - mmengine - INFO - Epoch(val) [54][740/2475] eta: 0:02:25 time: 0.0839 data_time: 0.0526 memory: 817 2022/07/31 03:59:29 - mmengine - INFO - Epoch(val) [54][760/2475] eta: 0:02:06 time: 0.0739 data_time: 0.0428 memory: 817 2022/07/31 03:59:31 - mmengine - INFO - Epoch(val) [54][780/2475] eta: 0:02:22 time: 0.0839 data_time: 0.0527 memory: 817 2022/07/31 03:59:32 - mmengine - INFO - Epoch(val) [54][800/2475] eta: 0:02:07 time: 0.0758 data_time: 0.0447 memory: 817 2022/07/31 03:59:34 - mmengine - INFO - Epoch(val) [54][820/2475] eta: 0:02:19 time: 0.0846 data_time: 0.0530 memory: 817 2022/07/31 03:59:36 - mmengine - INFO - Epoch(val) [54][840/2475] eta: 0:02:02 time: 0.0751 data_time: 0.0435 memory: 817 2022/07/31 03:59:37 - mmengine - INFO - Epoch(val) [54][860/2475] eta: 0:02:23 time: 0.0886 data_time: 0.0468 memory: 817 2022/07/31 03:59:39 - mmengine - INFO - Epoch(val) [54][880/2475] eta: 0:02:08 time: 0.0808 data_time: 0.0499 memory: 817 2022/07/31 03:59:40 - mmengine - INFO - Epoch(val) [54][900/2475] eta: 0:01:54 time: 0.0728 data_time: 0.0418 memory: 817 2022/07/31 03:59:42 - mmengine - INFO - Epoch(val) [54][920/2475] eta: 0:02:35 time: 0.1000 data_time: 0.0695 memory: 817 2022/07/31 03:59:44 - mmengine - INFO - Epoch(val) [54][940/2475] eta: 0:01:48 time: 0.0710 data_time: 0.0392 memory: 817 2022/07/31 03:59:46 - mmengine - INFO - Epoch(val) [54][960/2475] eta: 0:02:15 time: 0.0897 data_time: 0.0580 memory: 817 2022/07/31 03:59:47 - mmengine - INFO - Epoch(val) [54][980/2475] eta: 0:01:53 time: 0.0761 data_time: 0.0448 memory: 817 2022/07/31 03:59:49 - mmengine - INFO - Epoch(val) [54][1000/2475] eta: 0:02:03 time: 0.0840 data_time: 0.0503 memory: 817 2022/07/31 03:59:50 - mmengine - INFO - Epoch(val) [54][1020/2475] eta: 0:01:53 time: 0.0781 data_time: 0.0418 memory: 817 2022/07/31 03:59:52 - mmengine - INFO - Epoch(val) [54][1040/2475] eta: 0:01:57 time: 0.0817 data_time: 0.0485 memory: 817 2022/07/31 03:59:54 - mmengine - INFO - Epoch(val) [54][1060/2475] eta: 0:01:54 time: 0.0811 data_time: 0.0470 memory: 817 2022/07/31 03:59:55 - mmengine - INFO - Epoch(val) [54][1080/2475] eta: 0:01:32 time: 0.0661 data_time: 0.0357 memory: 817 2022/07/31 03:59:57 - mmengine - INFO - Epoch(val) [54][1100/2475] eta: 0:02:15 time: 0.0986 data_time: 0.0660 memory: 817 2022/07/31 03:59:58 - mmengine - INFO - Epoch(val) [54][1120/2475] eta: 0:01:34 time: 0.0699 data_time: 0.0384 memory: 817 2022/07/31 04:00:00 - mmengine - INFO - Epoch(val) [54][1140/2475] eta: 0:01:47 time: 0.0806 data_time: 0.0478 memory: 817 2022/07/31 04:00:01 - mmengine - INFO - Epoch(val) [54][1160/2475] eta: 0:01:27 time: 0.0667 data_time: 0.0347 memory: 817 2022/07/31 04:00:04 - mmengine - INFO - Epoch(val) [54][1180/2475] eta: 0:02:40 time: 0.1243 data_time: 0.0930 memory: 817 2022/07/31 04:00:06 - mmengine - INFO - Epoch(val) [54][1200/2475] eta: 0:01:51 time: 0.0878 data_time: 0.0569 memory: 817 2022/07/31 04:00:07 - mmengine - INFO - Epoch(val) [54][1220/2475] eta: 0:01:43 time: 0.0823 data_time: 0.0502 memory: 817 2022/07/31 04:00:09 - mmengine - INFO - Epoch(val) [54][1240/2475] eta: 0:01:32 time: 0.0748 data_time: 0.0447 memory: 817 2022/07/31 04:00:11 - mmengine - INFO - Epoch(val) [54][1260/2475] eta: 0:01:51 time: 0.0915 data_time: 0.0596 memory: 817 2022/07/31 04:00:12 - mmengine - INFO - Epoch(val) [54][1280/2475] eta: 0:01:40 time: 0.0839 data_time: 0.0520 memory: 817 2022/07/31 04:00:14 - mmengine - INFO - Epoch(val) [54][1300/2475] eta: 0:01:42 time: 0.0872 data_time: 0.0550 memory: 817 2022/07/31 04:00:16 - mmengine - INFO - Epoch(val) [54][1320/2475] eta: 0:01:28 time: 0.0765 data_time: 0.0443 memory: 817 2022/07/31 04:00:17 - mmengine - INFO - Epoch(val) [54][1340/2475] eta: 0:01:36 time: 0.0850 data_time: 0.0543 memory: 817 2022/07/31 04:00:19 - mmengine - INFO - Epoch(val) [54][1360/2475] eta: 0:01:19 time: 0.0715 data_time: 0.0371 memory: 817 2022/07/31 04:00:20 - mmengine - INFO - Epoch(val) [54][1380/2475] eta: 0:01:38 time: 0.0901 data_time: 0.0586 memory: 817 2022/07/31 04:00:22 - mmengine - INFO - Epoch(val) [54][1400/2475] eta: 0:01:14 time: 0.0696 data_time: 0.0384 memory: 817 2022/07/31 04:00:24 - mmengine - INFO - Epoch(val) [54][1420/2475] eta: 0:01:26 time: 0.0823 data_time: 0.0509 memory: 817 2022/07/31 04:00:25 - mmengine - INFO - Epoch(val) [54][1440/2475] eta: 0:01:15 time: 0.0733 data_time: 0.0410 memory: 817 2022/07/31 04:00:27 - mmengine - INFO - Epoch(val) [54][1460/2475] eta: 0:01:26 time: 0.0854 data_time: 0.0529 memory: 817 2022/07/31 04:00:29 - mmengine - INFO - Epoch(val) [54][1480/2475] eta: 0:01:41 time: 0.1018 data_time: 0.0689 memory: 817 2022/07/31 04:00:30 - mmengine - INFO - Epoch(val) [54][1500/2475] eta: 0:01:05 time: 0.0667 data_time: 0.0355 memory: 817 2022/07/31 04:00:32 - mmengine - INFO - Epoch(val) [54][1520/2475] eta: 0:01:14 time: 0.0779 data_time: 0.0458 memory: 817 2022/07/31 04:00:33 - mmengine - INFO - Epoch(val) [54][1540/2475] eta: 0:01:18 time: 0.0843 data_time: 0.0526 memory: 817 2022/07/31 04:00:35 - mmengine - INFO - Epoch(val) [54][1560/2475] eta: 0:01:22 time: 0.0901 data_time: 0.0595 memory: 817 2022/07/31 04:00:37 - mmengine - INFO - Epoch(val) [54][1580/2475] eta: 0:01:05 time: 0.0736 data_time: 0.0401 memory: 817 2022/07/31 04:00:38 - mmengine - INFO - Epoch(val) [54][1600/2475] eta: 0:01:10 time: 0.0804 data_time: 0.0478 memory: 817 2022/07/31 04:00:40 - mmengine - INFO - Epoch(val) [54][1620/2475] eta: 0:01:07 time: 0.0792 data_time: 0.0467 memory: 817 2022/07/31 04:00:42 - mmengine - INFO - Epoch(val) [54][1640/2475] eta: 0:01:08 time: 0.0816 data_time: 0.0499 memory: 817 2022/07/31 04:00:43 - mmengine - INFO - Epoch(val) [54][1660/2475] eta: 0:01:19 time: 0.0970 data_time: 0.0663 memory: 817 2022/07/31 04:00:45 - mmengine - INFO - Epoch(val) [54][1680/2475] eta: 0:00:56 time: 0.0705 data_time: 0.0395 memory: 817 2022/07/31 04:00:47 - mmengine - INFO - Epoch(val) [54][1700/2475] eta: 0:01:11 time: 0.0921 data_time: 0.0609 memory: 817 2022/07/31 04:00:48 - mmengine - INFO - Epoch(val) [54][1720/2475] eta: 0:00:54 time: 0.0719 data_time: 0.0395 memory: 817 2022/07/31 04:00:50 - mmengine - INFO - Epoch(val) [54][1740/2475] eta: 0:00:59 time: 0.0816 data_time: 0.0498 memory: 817 2022/07/31 04:00:51 - mmengine - INFO - Epoch(val) [54][1760/2475] eta: 0:00:49 time: 0.0696 data_time: 0.0389 memory: 817 2022/07/31 04:00:53 - mmengine - INFO - Epoch(val) [54][1780/2475] eta: 0:01:06 time: 0.0956 data_time: 0.0636 memory: 817 2022/07/31 04:00:55 - mmengine - INFO - Epoch(val) [54][1800/2475] eta: 0:00:50 time: 0.0755 data_time: 0.0434 memory: 817 2022/07/31 04:00:56 - mmengine - INFO - Epoch(val) [54][1820/2475] eta: 0:00:57 time: 0.0879 data_time: 0.0566 memory: 817 2022/07/31 04:00:58 - mmengine - INFO - Epoch(val) [54][1840/2475] eta: 0:00:42 time: 0.0663 data_time: 0.0359 memory: 817 2022/07/31 04:00:59 - mmengine - INFO - Epoch(val) [54][1860/2475] eta: 0:00:49 time: 0.0801 data_time: 0.0493 memory: 817 2022/07/31 04:01:01 - mmengine - INFO - Epoch(val) [54][1880/2475] eta: 0:00:47 time: 0.0801 data_time: 0.0501 memory: 817 2022/07/31 04:01:03 - mmengine - INFO - Epoch(val) [54][1900/2475] eta: 0:00:50 time: 0.0881 data_time: 0.0581 memory: 817 2022/07/31 04:01:04 - mmengine - INFO - Epoch(val) [54][1920/2475] eta: 0:00:41 time: 0.0740 data_time: 0.0425 memory: 817 2022/07/31 04:01:06 - mmengine - INFO - Epoch(val) [54][1940/2475] eta: 0:00:46 time: 0.0877 data_time: 0.0555 memory: 817 2022/07/31 04:01:07 - mmengine - INFO - Epoch(val) [54][1960/2475] eta: 0:00:38 time: 0.0755 data_time: 0.0439 memory: 817 2022/07/31 04:01:09 - mmengine - INFO - Epoch(val) [54][1980/2475] eta: 0:00:36 time: 0.0746 data_time: 0.0430 memory: 817 2022/07/31 04:01:11 - mmengine - INFO - Epoch(val) [54][2000/2475] eta: 0:00:40 time: 0.0848 data_time: 0.0546 memory: 817 2022/07/31 04:01:12 - mmengine - INFO - Epoch(val) [54][2020/2475] eta: 0:00:33 time: 0.0744 data_time: 0.0417 memory: 817 2022/07/31 04:01:14 - mmengine - INFO - Epoch(val) [54][2040/2475] eta: 0:00:39 time: 0.0917 data_time: 0.0577 memory: 817 2022/07/31 04:01:16 - mmengine - INFO - Epoch(val) [54][2060/2475] eta: 0:00:31 time: 0.0759 data_time: 0.0443 memory: 817 2022/07/31 04:01:17 - mmengine - INFO - Epoch(val) [54][2080/2475] eta: 0:00:34 time: 0.0866 data_time: 0.0417 memory: 817 2022/07/31 04:01:19 - mmengine - INFO - Epoch(val) [54][2100/2475] eta: 0:00:26 time: 0.0696 data_time: 0.0384 memory: 817 2022/07/31 04:01:21 - mmengine - INFO - Epoch(val) [54][2120/2475] eta: 0:00:34 time: 0.0971 data_time: 0.0662 memory: 817 2022/07/31 04:01:22 - mmengine - INFO - Epoch(val) [54][2140/2475] eta: 0:00:22 time: 0.0682 data_time: 0.0379 memory: 817 2022/07/31 04:01:24 - mmengine - INFO - Epoch(val) [54][2160/2475] eta: 0:00:28 time: 0.0896 data_time: 0.0599 memory: 817 2022/07/31 04:01:25 - mmengine - INFO - Epoch(val) [54][2180/2475] eta: 0:00:21 time: 0.0712 data_time: 0.0404 memory: 817 2022/07/31 04:01:27 - mmengine - INFO - Epoch(val) [54][2200/2475] eta: 0:00:23 time: 0.0863 data_time: 0.0545 memory: 817 2022/07/31 04:01:28 - mmengine - INFO - Epoch(val) [54][2220/2475] eta: 0:00:19 time: 0.0755 data_time: 0.0442 memory: 817 2022/07/31 04:01:30 - mmengine - INFO - Epoch(val) [54][2240/2475] eta: 0:00:19 time: 0.0847 data_time: 0.0533 memory: 817 2022/07/31 04:01:32 - mmengine - INFO - Epoch(val) [54][2260/2475] eta: 0:00:18 time: 0.0843 data_time: 0.0512 memory: 817 2022/07/31 04:01:33 - mmengine - INFO - Epoch(val) [54][2280/2475] eta: 0:00:14 time: 0.0761 data_time: 0.0449 memory: 817 2022/07/31 04:01:35 - mmengine - INFO - Epoch(val) [54][2300/2475] eta: 0:00:15 time: 0.0864 data_time: 0.0563 memory: 817 2022/07/31 04:01:37 - mmengine - INFO - Epoch(val) [54][2320/2475] eta: 0:00:11 time: 0.0720 data_time: 0.0418 memory: 817 2022/07/31 04:01:38 - mmengine - INFO - Epoch(val) [54][2340/2475] eta: 0:00:10 time: 0.0798 data_time: 0.0463 memory: 817 2022/07/31 04:01:40 - mmengine - INFO - Epoch(val) [54][2360/2475] eta: 0:00:08 time: 0.0737 data_time: 0.0414 memory: 817 2022/07/31 04:01:42 - mmengine - INFO - Epoch(val) [54][2380/2475] eta: 0:00:09 time: 0.1023 data_time: 0.0711 memory: 817 2022/07/31 04:01:43 - mmengine - INFO - Epoch(val) [54][2400/2475] eta: 0:00:05 time: 0.0716 data_time: 0.0404 memory: 817 2022/07/31 04:01:44 - mmengine - INFO - Epoch(val) [54][2420/2475] eta: 0:00:02 time: 0.0523 data_time: 0.0216 memory: 817 2022/07/31 04:01:45 - mmengine - INFO - Epoch(val) [54][2440/2475] eta: 0:00:01 time: 0.0316 data_time: 0.0020 memory: 817 2022/07/31 04:01:45 - mmengine - INFO - Epoch(val) [54][2460/2475] eta: 0:00:00 time: 0.0304 data_time: 0.0013 memory: 817 2022/07/31 04:01:47 - mmengine - INFO - Epoch(val) [54][2475/2475] acc/top1: 0.7648 acc/top5: 0.9231 acc/mean1: 0.7647 2022/07/31 04:01:47 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_52.pth is removed 2022/07/31 04:01:50 - mmengine - INFO - The best checkpoint with 0.7648 acc/top1 at 55 epoch is saved to best_acc/top1_epoch_55.pth. 2022/07/31 04:02:16 - mmengine - INFO - Epoch(train) [55][20/2505] lr: 5.0000e-06 eta: 2:44:48 time: 1.2919 data_time: 0.7080 memory: 32703 grad_norm: 19.0572 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8621 loss: 0.8621 2022/07/31 04:02:35 - mmengine - INFO - Epoch(train) [55][40/2505] lr: 5.0000e-06 eta: 2:44:29 time: 0.9192 data_time: 0.3475 memory: 32703 grad_norm: 19.8034 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1708 loss: 1.1708 2022/07/31 04:02:56 - mmengine - INFO - Epoch(train) [55][60/2505] lr: 5.0000e-06 eta: 2:44:09 time: 1.0611 data_time: 0.4523 memory: 32703 grad_norm: 19.8080 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9599 loss: 0.9599 2022/07/31 04:03:14 - mmengine - INFO - Epoch(train) [55][80/2505] lr: 5.0000e-06 eta: 2:43:49 time: 0.9285 data_time: 0.3554 memory: 32703 grad_norm: 19.9091 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0258 loss: 1.0258 2022/07/31 04:03:35 - mmengine - INFO - Epoch(train) [55][100/2505] lr: 5.0000e-06 eta: 2:43:29 time: 1.0546 data_time: 0.4647 memory: 32703 grad_norm: 19.1812 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8627 loss: 0.8627 2022/07/31 04:03:54 - mmengine - INFO - Epoch(train) [55][120/2505] lr: 5.0000e-06 eta: 2:43:09 time: 0.9184 data_time: 0.3250 memory: 32703 grad_norm: 19.0329 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8828 loss: 0.8828 2022/07/31 04:04:14 - mmengine - INFO - Epoch(train) [55][140/2505] lr: 5.0000e-06 eta: 2:42:50 time: 0.9924 data_time: 0.3987 memory: 32703 grad_norm: 18.3734 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0451 loss: 1.0451 2022/07/31 04:04:32 - mmengine - INFO - Epoch(train) [55][160/2505] lr: 5.0000e-06 eta: 2:42:30 time: 0.9059 data_time: 0.3218 memory: 32703 grad_norm: 18.7138 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0065 loss: 1.0065 2022/07/31 04:04:53 - mmengine - INFO - Epoch(train) [55][180/2505] lr: 5.0000e-06 eta: 2:42:10 time: 1.0597 data_time: 0.4649 memory: 32703 grad_norm: 19.6393 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9950 loss: 0.9950 2022/07/31 04:05:12 - mmengine - INFO - Epoch(train) [55][200/2505] lr: 5.0000e-06 eta: 2:41:50 time: 0.9589 data_time: 0.3687 memory: 32703 grad_norm: 18.9791 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0916 loss: 1.0916 2022/07/31 04:05:32 - mmengine - INFO - Epoch(train) [55][220/2505] lr: 5.0000e-06 eta: 2:41:31 time: 1.0057 data_time: 0.4242 memory: 32703 grad_norm: 19.4511 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8712 loss: 0.8712 2022/07/31 04:05:51 - mmengine - INFO - Epoch(train) [55][240/2505] lr: 5.0000e-06 eta: 2:41:11 time: 0.9368 data_time: 0.3409 memory: 32703 grad_norm: 18.2881 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9148 loss: 0.9148 2022/07/31 04:06:12 - mmengine - INFO - Epoch(train) [55][260/2505] lr: 5.0000e-06 eta: 2:40:51 time: 1.0511 data_time: 0.4730 memory: 32703 grad_norm: 18.9849 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9526 loss: 0.9526 2022/07/31 04:06:30 - mmengine - INFO - Epoch(train) [55][280/2505] lr: 5.0000e-06 eta: 2:40:31 time: 0.9020 data_time: 0.3111 memory: 32703 grad_norm: 19.5451 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9218 loss: 0.9218 2022/07/31 04:06:51 - mmengine - INFO - Epoch(train) [55][300/2505] lr: 5.0000e-06 eta: 2:40:11 time: 1.0447 data_time: 0.4706 memory: 32703 grad_norm: 18.7592 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9016 loss: 0.9016 2022/07/31 04:07:10 - mmengine - INFO - Epoch(train) [55][320/2505] lr: 5.0000e-06 eta: 2:39:52 time: 0.9257 data_time: 0.3355 memory: 32703 grad_norm: 18.5548 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0908 loss: 1.0908 2022/07/31 04:07:31 - mmengine - INFO - Epoch(train) [55][340/2505] lr: 5.0000e-06 eta: 2:39:32 time: 1.0526 data_time: 0.4554 memory: 32703 grad_norm: 18.4599 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0182 loss: 1.0182 2022/07/31 04:07:50 - mmengine - INFO - Epoch(train) [55][360/2505] lr: 5.0000e-06 eta: 2:39:12 time: 0.9454 data_time: 0.3389 memory: 32703 grad_norm: 18.7466 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9535 loss: 0.9535 2022/07/31 04:08:11 - mmengine - INFO - Epoch(train) [55][380/2505] lr: 5.0000e-06 eta: 2:38:52 time: 1.0692 data_time: 0.4477 memory: 32703 grad_norm: 19.4536 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9041 loss: 0.9041 2022/07/31 04:08:29 - mmengine - INFO - Epoch(train) [55][400/2505] lr: 5.0000e-06 eta: 2:38:32 time: 0.9143 data_time: 0.3364 memory: 32703 grad_norm: 19.5788 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9836 loss: 0.9836 2022/07/31 04:08:51 - mmengine - INFO - Epoch(train) [55][420/2505] lr: 5.0000e-06 eta: 2:38:13 time: 1.1023 data_time: 0.4978 memory: 32703 grad_norm: 20.0480 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0554 loss: 1.0554 2022/07/31 04:09:09 - mmengine - INFO - Epoch(train) [55][440/2505] lr: 5.0000e-06 eta: 2:37:53 time: 0.8784 data_time: 0.3040 memory: 32703 grad_norm: 20.1736 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.0394 loss: 1.0394 2022/07/31 04:09:31 - mmengine - INFO - Epoch(train) [55][460/2505] lr: 5.0000e-06 eta: 2:37:33 time: 1.0867 data_time: 0.4798 memory: 32703 grad_norm: 18.9928 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9295 loss: 0.9295 2022/07/31 04:09:48 - mmengine - INFO - Epoch(train) [55][480/2505] lr: 5.0000e-06 eta: 2:37:13 time: 0.8728 data_time: 0.2878 memory: 32703 grad_norm: 19.4501 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9869 loss: 0.9869 2022/07/31 04:10:11 - mmengine - INFO - Epoch(train) [55][500/2505] lr: 5.0000e-06 eta: 2:36:54 time: 1.1396 data_time: 0.5188 memory: 32703 grad_norm: 19.0696 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8909 loss: 0.8909 2022/07/31 04:10:29 - mmengine - INFO - Epoch(train) [55][520/2505] lr: 5.0000e-06 eta: 2:36:34 time: 0.8954 data_time: 0.2954 memory: 32703 grad_norm: 19.5625 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8792 loss: 0.8792 2022/07/31 04:10:50 - mmengine - INFO - Epoch(train) [55][540/2505] lr: 5.0000e-06 eta: 2:36:14 time: 1.0549 data_time: 0.4402 memory: 32703 grad_norm: 18.8415 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0575 loss: 1.0575 2022/07/31 04:11:09 - mmengine - INFO - Epoch(train) [55][560/2505] lr: 5.0000e-06 eta: 2:35:54 time: 0.9381 data_time: 0.2809 memory: 32703 grad_norm: 19.1304 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0874 loss: 1.0874 2022/07/31 04:11:30 - mmengine - INFO - Epoch(train) [55][580/2505] lr: 5.0000e-06 eta: 2:35:35 time: 1.0414 data_time: 0.4154 memory: 32703 grad_norm: 20.0785 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1113 loss: 1.1113 2022/07/31 04:11:47 - mmengine - INFO - Epoch(train) [55][600/2505] lr: 5.0000e-06 eta: 2:35:15 time: 0.8924 data_time: 0.3155 memory: 32703 grad_norm: 19.6010 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3223 loss: 1.3223 2022/07/31 04:12:09 - mmengine - INFO - Epoch(train) [55][620/2505] lr: 5.0000e-06 eta: 2:34:55 time: 1.0746 data_time: 0.4571 memory: 32703 grad_norm: 18.7616 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0108 loss: 1.0108 2022/07/31 04:12:27 - mmengine - INFO - Epoch(train) [55][640/2505] lr: 5.0000e-06 eta: 2:34:35 time: 0.8926 data_time: 0.2922 memory: 32703 grad_norm: 19.1067 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3273 loss: 1.3273 2022/07/31 04:12:48 - mmengine - INFO - Epoch(train) [55][660/2505] lr: 5.0000e-06 eta: 2:34:16 time: 1.0806 data_time: 0.4746 memory: 32703 grad_norm: 18.6564 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8070 loss: 0.8070 2022/07/31 04:13:06 - mmengine - INFO - Epoch(train) [55][680/2505] lr: 5.0000e-06 eta: 2:33:56 time: 0.8969 data_time: 0.3165 memory: 32703 grad_norm: 18.9154 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8737 loss: 0.8737 2022/07/31 04:13:28 - mmengine - INFO - Epoch(train) [55][700/2505] lr: 5.0000e-06 eta: 2:33:36 time: 1.0587 data_time: 0.4119 memory: 32703 grad_norm: 19.3637 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7264 loss: 0.7264 2022/07/31 04:13:46 - mmengine - INFO - Epoch(train) [55][720/2505] lr: 5.0000e-06 eta: 2:33:16 time: 0.9173 data_time: 0.2678 memory: 32703 grad_norm: 18.9897 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1908 loss: 1.1908 2022/07/31 04:13:57 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 04:14:08 - mmengine - INFO - Epoch(train) [55][740/2505] lr: 5.0000e-06 eta: 2:32:56 time: 1.0949 data_time: 0.3431 memory: 32703 grad_norm: 19.3672 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8751 loss: 0.8751 2022/07/31 04:14:26 - mmengine - INFO - Epoch(train) [55][760/2505] lr: 5.0000e-06 eta: 2:32:37 time: 0.9160 data_time: 0.1613 memory: 32703 grad_norm: 19.2626 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8466 loss: 0.8466 2022/07/31 04:14:47 - mmengine - INFO - Epoch(train) [55][780/2505] lr: 5.0000e-06 eta: 2:32:17 time: 1.0263 data_time: 0.2674 memory: 32703 grad_norm: 18.0488 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8367 loss: 0.8367 2022/07/31 04:15:05 - mmengine - INFO - Epoch(train) [55][800/2505] lr: 5.0000e-06 eta: 2:31:57 time: 0.9106 data_time: 0.2381 memory: 32703 grad_norm: 19.7545 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0189 loss: 1.0189 2022/07/31 04:15:27 - mmengine - INFO - Epoch(train) [55][820/2505] lr: 5.0000e-06 eta: 2:31:37 time: 1.0852 data_time: 0.4639 memory: 32703 grad_norm: 19.1722 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8783 loss: 0.8783 2022/07/31 04:15:46 - mmengine - INFO - Epoch(train) [55][840/2505] lr: 5.0000e-06 eta: 2:31:17 time: 0.9549 data_time: 0.3541 memory: 32703 grad_norm: 18.8479 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9217 loss: 0.9217 2022/07/31 04:16:06 - mmengine - INFO - Epoch(train) [55][860/2505] lr: 5.0000e-06 eta: 2:30:58 time: 1.0212 data_time: 0.4326 memory: 32703 grad_norm: 17.6674 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1804 loss: 1.1804 2022/07/31 04:16:23 - mmengine - INFO - Epoch(train) [55][880/2505] lr: 5.0000e-06 eta: 2:30:38 time: 0.8691 data_time: 0.2401 memory: 32703 grad_norm: 19.3130 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9805 loss: 0.9805 2022/07/31 04:16:45 - mmengine - INFO - Epoch(train) [55][900/2505] lr: 5.0000e-06 eta: 2:30:18 time: 1.0837 data_time: 0.3555 memory: 32703 grad_norm: 18.6040 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7943 loss: 0.7943 2022/07/31 04:17:04 - mmengine - INFO - Epoch(train) [55][920/2505] lr: 5.0000e-06 eta: 2:29:58 time: 0.9471 data_time: 0.1558 memory: 32703 grad_norm: 19.5314 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9481 loss: 0.9481 2022/07/31 04:17:24 - mmengine - INFO - Epoch(train) [55][940/2505] lr: 5.0000e-06 eta: 2:29:39 time: 0.9871 data_time: 0.1460 memory: 32703 grad_norm: 19.8895 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9213 loss: 0.9213 2022/07/31 04:17:43 - mmengine - INFO - Epoch(train) [55][960/2505] lr: 5.0000e-06 eta: 2:29:19 time: 0.9493 data_time: 0.0939 memory: 32703 grad_norm: 18.7973 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8745 loss: 0.8745 2022/07/31 04:18:02 - mmengine - INFO - Epoch(train) [55][980/2505] lr: 5.0000e-06 eta: 2:28:59 time: 0.9648 data_time: 0.0281 memory: 32703 grad_norm: 20.0413 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9634 loss: 0.9634 2022/07/31 04:18:21 - mmengine - INFO - Epoch(train) [55][1000/2505] lr: 5.0000e-06 eta: 2:28:39 time: 0.9634 data_time: 0.0272 memory: 32703 grad_norm: 19.3859 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7573 loss: 0.7573 2022/07/31 04:18:42 - mmengine - INFO - Epoch(train) [55][1020/2505] lr: 5.0000e-06 eta: 2:28:19 time: 1.0459 data_time: 0.0307 memory: 32703 grad_norm: 19.2580 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0401 loss: 1.0401 2022/07/31 04:19:00 - mmengine - INFO - Epoch(train) [55][1040/2505] lr: 5.0000e-06 eta: 2:27:59 time: 0.8893 data_time: 0.0295 memory: 32703 grad_norm: 19.3818 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2088 loss: 1.2088 2022/07/31 04:19:21 - mmengine - INFO - Epoch(train) [55][1060/2505] lr: 5.0000e-06 eta: 2:27:40 time: 1.0316 data_time: 0.0288 memory: 32703 grad_norm: 19.9846 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8655 loss: 0.8655 2022/07/31 04:19:40 - mmengine - INFO - Epoch(train) [55][1080/2505] lr: 5.0000e-06 eta: 2:27:20 time: 0.9372 data_time: 0.0286 memory: 32703 grad_norm: 19.6706 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8954 loss: 0.8954 2022/07/31 04:20:01 - mmengine - INFO - Epoch(train) [55][1100/2505] lr: 5.0000e-06 eta: 2:27:00 time: 1.0848 data_time: 0.0270 memory: 32703 grad_norm: 18.8633 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9746 loss: 0.9746 2022/07/31 04:20:20 - mmengine - INFO - Epoch(train) [55][1120/2505] lr: 5.0000e-06 eta: 2:26:40 time: 0.9248 data_time: 0.0315 memory: 32703 grad_norm: 19.1983 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9689 loss: 0.9689 2022/07/31 04:20:41 - mmengine - INFO - Epoch(train) [55][1140/2505] lr: 5.0000e-06 eta: 2:26:21 time: 1.0616 data_time: 0.0306 memory: 32703 grad_norm: 19.4897 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8739 loss: 0.8739 2022/07/31 04:20:59 - mmengine - INFO - Epoch(train) [55][1160/2505] lr: 5.0000e-06 eta: 2:26:01 time: 0.8822 data_time: 0.0281 memory: 32703 grad_norm: 18.2163 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0958 loss: 1.0958 2022/07/31 04:21:21 - mmengine - INFO - Epoch(train) [55][1180/2505] lr: 5.0000e-06 eta: 2:25:41 time: 1.0870 data_time: 0.0280 memory: 32703 grad_norm: 18.9701 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8358 loss: 0.8358 2022/07/31 04:21:39 - mmengine - INFO - Epoch(train) [55][1200/2505] lr: 5.0000e-06 eta: 2:25:21 time: 0.9237 data_time: 0.0305 memory: 32703 grad_norm: 19.1776 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0186 loss: 1.0186 2022/07/31 04:22:00 - mmengine - INFO - Epoch(train) [55][1220/2505] lr: 5.0000e-06 eta: 2:25:02 time: 1.0489 data_time: 0.0282 memory: 32703 grad_norm: 18.7358 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0013 loss: 1.0013 2022/07/31 04:22:17 - mmengine - INFO - Epoch(train) [55][1240/2505] lr: 5.0000e-06 eta: 2:24:42 time: 0.8773 data_time: 0.0334 memory: 32703 grad_norm: 18.6368 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8429 loss: 0.8429 2022/07/31 04:22:38 - mmengine - INFO - Epoch(train) [55][1260/2505] lr: 5.0000e-06 eta: 2:24:22 time: 1.0412 data_time: 0.0285 memory: 32703 grad_norm: 19.3650 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0250 loss: 1.0250 2022/07/31 04:22:57 - mmengine - INFO - Epoch(train) [55][1280/2505] lr: 5.0000e-06 eta: 2:24:02 time: 0.9294 data_time: 0.0267 memory: 32703 grad_norm: 18.7889 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0357 loss: 1.0357 2022/07/31 04:23:18 - mmengine - INFO - Epoch(train) [55][1300/2505] lr: 5.0000e-06 eta: 2:23:42 time: 1.0526 data_time: 0.0282 memory: 32703 grad_norm: 18.5294 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9013 loss: 0.9013 2022/07/31 04:23:37 - mmengine - INFO - Epoch(train) [55][1320/2505] lr: 5.0000e-06 eta: 2:23:23 time: 0.9563 data_time: 0.0286 memory: 32703 grad_norm: 19.0966 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0495 loss: 1.0495 2022/07/31 04:23:58 - mmengine - INFO - Epoch(train) [55][1340/2505] lr: 5.0000e-06 eta: 2:23:03 time: 1.0244 data_time: 0.0277 memory: 32703 grad_norm: 19.1962 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9679 loss: 0.9679 2022/07/31 04:24:17 - mmengine - INFO - Epoch(train) [55][1360/2505] lr: 5.0000e-06 eta: 2:22:43 time: 0.9861 data_time: 0.0303 memory: 32703 grad_norm: 20.3457 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0775 loss: 1.0775 2022/07/31 04:24:37 - mmengine - INFO - Epoch(train) [55][1380/2505] lr: 5.0000e-06 eta: 2:22:23 time: 0.9999 data_time: 0.0284 memory: 32703 grad_norm: 19.4952 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9388 loss: 0.9388 2022/07/31 04:24:56 - mmengine - INFO - Epoch(train) [55][1400/2505] lr: 5.0000e-06 eta: 2:22:03 time: 0.9527 data_time: 0.0291 memory: 32703 grad_norm: 19.5461 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0394 loss: 1.0394 2022/07/31 04:25:16 - mmengine - INFO - Epoch(train) [55][1420/2505] lr: 5.0000e-06 eta: 2:21:44 time: 1.0055 data_time: 0.0283 memory: 32703 grad_norm: 19.0170 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0624 loss: 1.0624 2022/07/31 04:25:36 - mmengine - INFO - Epoch(train) [55][1440/2505] lr: 5.0000e-06 eta: 2:21:24 time: 0.9765 data_time: 0.0281 memory: 32703 grad_norm: 17.6763 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9614 loss: 0.9614 2022/07/31 04:25:57 - mmengine - INFO - Epoch(train) [55][1460/2505] lr: 5.0000e-06 eta: 2:21:04 time: 1.0297 data_time: 0.0271 memory: 32703 grad_norm: 20.0400 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9720 loss: 0.9720 2022/07/31 04:26:16 - mmengine - INFO - Epoch(train) [55][1480/2505] lr: 5.0000e-06 eta: 2:20:44 time: 0.9793 data_time: 0.0286 memory: 32703 grad_norm: 19.2099 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9859 loss: 0.9859 2022/07/31 04:26:36 - mmengine - INFO - Epoch(train) [55][1500/2505] lr: 5.0000e-06 eta: 2:20:25 time: 0.9793 data_time: 0.0256 memory: 32703 grad_norm: 19.0849 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1496 loss: 1.1496 2022/07/31 04:26:56 - mmengine - INFO - Epoch(train) [55][1520/2505] lr: 5.0000e-06 eta: 2:20:05 time: 0.9963 data_time: 0.0267 memory: 32703 grad_norm: 19.1296 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0679 loss: 1.0679 2022/07/31 04:27:14 - mmengine - INFO - Epoch(train) [55][1540/2505] lr: 5.0000e-06 eta: 2:19:45 time: 0.9266 data_time: 0.0312 memory: 32703 grad_norm: 19.7918 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0224 loss: 1.0224 2022/07/31 04:27:35 - mmengine - INFO - Epoch(train) [55][1560/2505] lr: 5.0000e-06 eta: 2:19:25 time: 1.0366 data_time: 0.0324 memory: 32703 grad_norm: 19.8321 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9166 loss: 0.9166 2022/07/31 04:27:54 - mmengine - INFO - Epoch(train) [55][1580/2505] lr: 5.0000e-06 eta: 2:19:05 time: 0.9471 data_time: 0.0263 memory: 32703 grad_norm: 18.2307 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9208 loss: 0.9208 2022/07/31 04:28:14 - mmengine - INFO - Epoch(train) [55][1600/2505] lr: 5.0000e-06 eta: 2:18:46 time: 0.9819 data_time: 0.0325 memory: 32703 grad_norm: 18.4470 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0210 loss: 1.0210 2022/07/31 04:28:34 - mmengine - INFO - Epoch(train) [55][1620/2505] lr: 5.0000e-06 eta: 2:18:26 time: 1.0033 data_time: 0.0288 memory: 32703 grad_norm: 19.7098 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8867 loss: 0.8867 2022/07/31 04:28:52 - mmengine - INFO - Epoch(train) [55][1640/2505] lr: 5.0000e-06 eta: 2:18:06 time: 0.9260 data_time: 0.0284 memory: 32703 grad_norm: 18.4213 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9827 loss: 0.9827 2022/07/31 04:29:13 - mmengine - INFO - Epoch(train) [55][1660/2505] lr: 5.0000e-06 eta: 2:17:46 time: 1.0602 data_time: 0.0293 memory: 32703 grad_norm: 19.0916 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1479 loss: 1.1479 2022/07/31 04:29:32 - mmengine - INFO - Epoch(train) [55][1680/2505] lr: 5.0000e-06 eta: 2:17:27 time: 0.9270 data_time: 0.0309 memory: 32703 grad_norm: 19.7971 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1206 loss: 1.1206 2022/07/31 04:29:54 - mmengine - INFO - Epoch(train) [55][1700/2505] lr: 5.0000e-06 eta: 2:17:07 time: 1.0753 data_time: 0.0267 memory: 32703 grad_norm: 18.9784 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0489 loss: 1.0489 2022/07/31 04:30:12 - mmengine - INFO - Epoch(train) [55][1720/2505] lr: 5.0000e-06 eta: 2:16:47 time: 0.8998 data_time: 0.0290 memory: 32703 grad_norm: 19.9881 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.8864 loss: 0.8864 2022/07/31 04:30:24 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 04:30:32 - mmengine - INFO - Epoch(train) [55][1740/2505] lr: 5.0000e-06 eta: 2:16:27 time: 1.0340 data_time: 0.0291 memory: 32703 grad_norm: 19.4009 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8609 loss: 0.8609 2022/07/31 04:30:51 - mmengine - INFO - Epoch(train) [55][1760/2505] lr: 5.0000e-06 eta: 2:16:07 time: 0.9432 data_time: 0.0289 memory: 32703 grad_norm: 18.9662 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0238 loss: 1.0238 2022/07/31 04:31:12 - mmengine - INFO - Epoch(train) [55][1780/2505] lr: 5.0000e-06 eta: 2:15:48 time: 1.0592 data_time: 0.0261 memory: 32703 grad_norm: 19.7665 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8558 loss: 0.8558 2022/07/31 04:31:31 - mmengine - INFO - Epoch(train) [55][1800/2505] lr: 5.0000e-06 eta: 2:15:28 time: 0.9109 data_time: 0.0292 memory: 32703 grad_norm: 19.5160 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2659 loss: 1.2659 2022/07/31 04:31:51 - mmengine - INFO - Epoch(train) [55][1820/2505] lr: 5.0000e-06 eta: 2:15:08 time: 1.0467 data_time: 0.0287 memory: 32703 grad_norm: 19.0167 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8150 loss: 0.8150 2022/07/31 04:32:11 - mmengine - INFO - Epoch(train) [55][1840/2505] lr: 5.0000e-06 eta: 2:14:48 time: 0.9520 data_time: 0.0296 memory: 32703 grad_norm: 18.5301 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8774 loss: 0.8774 2022/07/31 04:32:31 - mmengine - INFO - Epoch(train) [55][1860/2505] lr: 5.0000e-06 eta: 2:14:29 time: 1.0313 data_time: 0.0278 memory: 32703 grad_norm: 19.9668 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0289 loss: 1.0289 2022/07/31 04:32:50 - mmengine - INFO - Epoch(train) [55][1880/2505] lr: 5.0000e-06 eta: 2:14:09 time: 0.9302 data_time: 0.0276 memory: 32703 grad_norm: 18.9943 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9428 loss: 0.9428 2022/07/31 04:33:11 - mmengine - INFO - Epoch(train) [55][1900/2505] lr: 5.0000e-06 eta: 2:13:49 time: 1.0564 data_time: 0.0270 memory: 32703 grad_norm: 18.8876 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9286 loss: 0.9286 2022/07/31 04:33:29 - mmengine - INFO - Epoch(train) [55][1920/2505] lr: 5.0000e-06 eta: 2:13:29 time: 0.9210 data_time: 0.0283 memory: 32703 grad_norm: 18.9358 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1302 loss: 1.1302 2022/07/31 04:33:51 - mmengine - INFO - Epoch(train) [55][1940/2505] lr: 5.0000e-06 eta: 2:13:09 time: 1.0713 data_time: 0.0281 memory: 32703 grad_norm: 19.4170 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9342 loss: 0.9342 2022/07/31 04:34:09 - mmengine - INFO - Epoch(train) [55][1960/2505] lr: 5.0000e-06 eta: 2:12:50 time: 0.8969 data_time: 0.0288 memory: 32703 grad_norm: 19.0272 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0603 loss: 1.0603 2022/07/31 04:34:31 - mmengine - INFO - Epoch(train) [55][1980/2505] lr: 5.0000e-06 eta: 2:12:30 time: 1.0893 data_time: 0.0366 memory: 32703 grad_norm: 18.7903 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9285 loss: 0.9285 2022/07/31 04:34:48 - mmengine - INFO - Epoch(train) [55][2000/2505] lr: 5.0000e-06 eta: 2:12:10 time: 0.8941 data_time: 0.0292 memory: 32703 grad_norm: 19.2007 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9537 loss: 0.9537 2022/07/31 04:35:10 - mmengine - INFO - Epoch(train) [55][2020/2505] lr: 5.0000e-06 eta: 2:11:50 time: 1.0785 data_time: 0.0288 memory: 32703 grad_norm: 19.3809 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0999 loss: 1.0999 2022/07/31 04:35:28 - mmengine - INFO - Epoch(train) [55][2040/2505] lr: 5.0000e-06 eta: 2:11:31 time: 0.9049 data_time: 0.0276 memory: 32703 grad_norm: 18.6106 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9637 loss: 0.9637 2022/07/31 04:35:49 - mmengine - INFO - Epoch(train) [55][2060/2505] lr: 5.0000e-06 eta: 2:11:11 time: 1.0235 data_time: 0.0277 memory: 32703 grad_norm: 18.4402 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9433 loss: 0.9433 2022/07/31 04:36:08 - mmengine - INFO - Epoch(train) [55][2080/2505] lr: 5.0000e-06 eta: 2:10:51 time: 0.9717 data_time: 0.0301 memory: 32703 grad_norm: 19.6254 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9842 loss: 0.9842 2022/07/31 04:36:28 - mmengine - INFO - Epoch(train) [55][2100/2505] lr: 5.0000e-06 eta: 2:10:31 time: 1.0078 data_time: 0.0305 memory: 32703 grad_norm: 18.7313 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9836 loss: 0.9836 2022/07/31 04:36:47 - mmengine - INFO - Epoch(train) [55][2120/2505] lr: 5.0000e-06 eta: 2:10:11 time: 0.9334 data_time: 0.0272 memory: 32703 grad_norm: 18.8045 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8271 loss: 0.8271 2022/07/31 04:37:08 - mmengine - INFO - Epoch(train) [55][2140/2505] lr: 5.0000e-06 eta: 2:09:52 time: 1.0345 data_time: 0.0271 memory: 32703 grad_norm: 18.9126 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9494 loss: 0.9494 2022/07/31 04:37:26 - mmengine - INFO - Epoch(train) [55][2160/2505] lr: 5.0000e-06 eta: 2:09:32 time: 0.9243 data_time: 0.0282 memory: 32703 grad_norm: 19.2793 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9029 loss: 0.9029 2022/07/31 04:37:47 - mmengine - INFO - Epoch(train) [55][2180/2505] lr: 5.0000e-06 eta: 2:09:12 time: 1.0427 data_time: 0.0253 memory: 32703 grad_norm: 18.5504 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0806 loss: 1.0806 2022/07/31 04:38:05 - mmengine - INFO - Epoch(train) [55][2200/2505] lr: 5.0000e-06 eta: 2:08:52 time: 0.8818 data_time: 0.0289 memory: 32703 grad_norm: 19.0401 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9705 loss: 0.9705 2022/07/31 04:38:26 - mmengine - INFO - Epoch(train) [55][2220/2505] lr: 5.0000e-06 eta: 2:08:33 time: 1.0626 data_time: 0.0358 memory: 32703 grad_norm: 19.3946 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0898 loss: 1.0898 2022/07/31 04:38:44 - mmengine - INFO - Epoch(train) [55][2240/2505] lr: 5.0000e-06 eta: 2:08:13 time: 0.8988 data_time: 0.0263 memory: 32703 grad_norm: 19.2343 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9666 loss: 0.9666 2022/07/31 04:39:05 - mmengine - INFO - Epoch(train) [55][2260/2505] lr: 5.0000e-06 eta: 2:07:53 time: 1.0614 data_time: 0.0303 memory: 32703 grad_norm: 19.7035 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0362 loss: 1.0362 2022/07/31 04:39:24 - mmengine - INFO - Epoch(train) [55][2280/2505] lr: 5.0000e-06 eta: 2:07:33 time: 0.9547 data_time: 0.0270 memory: 32703 grad_norm: 18.9315 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9953 loss: 0.9953 2022/07/31 04:39:46 - mmengine - INFO - Epoch(train) [55][2300/2505] lr: 5.0000e-06 eta: 2:07:13 time: 1.0760 data_time: 0.0366 memory: 32703 grad_norm: 18.4529 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8088 loss: 0.8088 2022/07/31 04:40:04 - mmengine - INFO - Epoch(train) [55][2320/2505] lr: 5.0000e-06 eta: 2:06:54 time: 0.9230 data_time: 0.0310 memory: 32703 grad_norm: 19.0984 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0310 loss: 1.0310 2022/07/31 04:40:25 - mmengine - INFO - Epoch(train) [55][2340/2505] lr: 5.0000e-06 eta: 2:06:34 time: 1.0631 data_time: 0.0293 memory: 32703 grad_norm: 18.6501 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9189 loss: 0.9189 2022/07/31 04:40:44 - mmengine - INFO - Epoch(train) [55][2360/2505] lr: 5.0000e-06 eta: 2:06:14 time: 0.9410 data_time: 0.0301 memory: 32703 grad_norm: 19.3142 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0006 loss: 1.0006 2022/07/31 04:41:05 - mmengine - INFO - Epoch(train) [55][2380/2505] lr: 5.0000e-06 eta: 2:05:54 time: 1.0605 data_time: 0.0272 memory: 32703 grad_norm: 18.2155 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8085 loss: 0.8085 2022/07/31 04:41:23 - mmengine - INFO - Epoch(train) [55][2400/2505] lr: 5.0000e-06 eta: 2:05:34 time: 0.8784 data_time: 0.0291 memory: 32703 grad_norm: 19.5811 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0582 loss: 1.0582 2022/07/31 04:41:44 - mmengine - INFO - Epoch(train) [55][2420/2505] lr: 5.0000e-06 eta: 2:05:15 time: 1.0494 data_time: 0.0273 memory: 32703 grad_norm: 19.2837 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0589 loss: 1.0589 2022/07/31 04:42:02 - mmengine - INFO - Epoch(train) [55][2440/2505] lr: 5.0000e-06 eta: 2:04:55 time: 0.9106 data_time: 0.0317 memory: 32703 grad_norm: 18.0995 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8006 loss: 0.8006 2022/07/31 04:42:23 - mmengine - INFO - Epoch(train) [55][2460/2505] lr: 5.0000e-06 eta: 2:04:35 time: 1.0535 data_time: 0.0286 memory: 32703 grad_norm: 19.4067 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9930 loss: 0.9930 2022/07/31 04:42:41 - mmengine - INFO - Epoch(train) [55][2480/2505] lr: 5.0000e-06 eta: 2:04:15 time: 0.8718 data_time: 0.0279 memory: 32703 grad_norm: 18.0551 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8788 loss: 0.8788 2022/07/31 04:42:59 - mmengine - INFO - Epoch(train) [55][2500/2505] lr: 5.0000e-06 eta: 2:03:55 time: 0.9017 data_time: 0.0292 memory: 32703 grad_norm: 19.0108 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.6762 loss: 0.6762 2022/07/31 04:43:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 04:43:02 - mmengine - INFO - Epoch(train) [55][2505/2505] lr: 5.0000e-06 eta: 2:03:55 time: 0.7820 data_time: 0.0213 memory: 32703 grad_norm: 19.4957 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8467 loss: 0.8467 2022/07/31 04:43:29 - mmengine - INFO - Epoch(train) [56][20/2505] lr: 5.0000e-06 eta: 2:03:31 time: 1.3109 data_time: 0.6086 memory: 32703 grad_norm: 18.6480 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9678 loss: 0.9678 2022/07/31 04:43:48 - mmengine - INFO - Epoch(train) [56][40/2505] lr: 5.0000e-06 eta: 2:03:11 time: 0.9580 data_time: 0.1385 memory: 32703 grad_norm: 19.0449 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9675 loss: 0.9675 2022/07/31 04:44:09 - mmengine - INFO - Epoch(train) [56][60/2505] lr: 5.0000e-06 eta: 2:02:51 time: 1.0808 data_time: 0.0417 memory: 32703 grad_norm: 19.9405 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3221 loss: 1.3221 2022/07/31 04:44:27 - mmengine - INFO - Epoch(train) [56][80/2505] lr: 5.0000e-06 eta: 2:02:31 time: 0.9029 data_time: 0.0396 memory: 32703 grad_norm: 19.7175 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8946 loss: 0.8946 2022/07/31 04:44:48 - mmengine - INFO - Epoch(train) [56][100/2505] lr: 5.0000e-06 eta: 2:02:12 time: 1.0562 data_time: 0.0551 memory: 32703 grad_norm: 19.7636 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1164 loss: 1.1164 2022/07/31 04:45:08 - mmengine - INFO - Epoch(train) [56][120/2505] lr: 5.0000e-06 eta: 2:01:52 time: 0.9550 data_time: 0.0299 memory: 32703 grad_norm: 19.2467 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8998 loss: 0.8998 2022/07/31 04:45:28 - mmengine - INFO - Epoch(train) [56][140/2505] lr: 5.0000e-06 eta: 2:01:32 time: 1.0410 data_time: 0.0300 memory: 32703 grad_norm: 19.1032 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9677 loss: 0.9677 2022/07/31 04:45:47 - mmengine - INFO - Epoch(train) [56][160/2505] lr: 5.0000e-06 eta: 2:01:12 time: 0.9049 data_time: 0.0359 memory: 32703 grad_norm: 20.4749 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9586 loss: 0.9586 2022/07/31 04:46:08 - mmengine - INFO - Epoch(train) [56][180/2505] lr: 5.0000e-06 eta: 2:00:53 time: 1.0907 data_time: 0.0295 memory: 32703 grad_norm: 18.9215 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0570 loss: 1.0570 2022/07/31 04:46:27 - mmengine - INFO - Epoch(train) [56][200/2505] lr: 5.0000e-06 eta: 2:00:33 time: 0.9210 data_time: 0.0278 memory: 32703 grad_norm: 18.3587 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1345 loss: 1.1345 2022/07/31 04:46:48 - mmengine - INFO - Epoch(train) [56][220/2505] lr: 5.0000e-06 eta: 2:00:13 time: 1.0714 data_time: 0.0286 memory: 32703 grad_norm: 19.7231 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1225 loss: 1.1225 2022/07/31 04:46:53 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 04:47:06 - mmengine - INFO - Epoch(train) [56][240/2505] lr: 5.0000e-06 eta: 1:59:53 time: 0.8943 data_time: 0.0313 memory: 32703 grad_norm: 20.0657 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8503 loss: 0.8503 2022/07/31 04:47:27 - mmengine - INFO - Epoch(train) [56][260/2505] lr: 5.0000e-06 eta: 1:59:34 time: 1.0647 data_time: 0.0263 memory: 32703 grad_norm: 18.8341 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8782 loss: 0.8782 2022/07/31 04:47:46 - mmengine - INFO - Epoch(train) [56][280/2505] lr: 5.0000e-06 eta: 1:59:14 time: 0.9331 data_time: 0.0299 memory: 32703 grad_norm: 19.0103 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1661 loss: 1.1661 2022/07/31 04:48:08 - mmengine - INFO - Epoch(train) [56][300/2505] lr: 5.0000e-06 eta: 1:58:54 time: 1.0754 data_time: 0.0279 memory: 32703 grad_norm: 19.7990 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9466 loss: 0.9466 2022/07/31 04:48:26 - mmengine - INFO - Epoch(train) [56][320/2505] lr: 5.0000e-06 eta: 1:58:34 time: 0.9179 data_time: 0.0308 memory: 32703 grad_norm: 19.7630 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9814 loss: 0.9814 2022/07/31 04:48:46 - mmengine - INFO - Epoch(train) [56][340/2505] lr: 5.0000e-06 eta: 1:58:14 time: 1.0180 data_time: 0.0299 memory: 32703 grad_norm: 19.3949 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9951 loss: 0.9951 2022/07/31 04:49:04 - mmengine - INFO - Epoch(train) [56][360/2505] lr: 5.0000e-06 eta: 1:57:55 time: 0.9029 data_time: 0.0285 memory: 32703 grad_norm: 19.1941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7781 loss: 0.7781 2022/07/31 04:49:25 - mmengine - INFO - Epoch(train) [56][380/2505] lr: 5.0000e-06 eta: 1:57:35 time: 1.0445 data_time: 0.0298 memory: 32703 grad_norm: 19.5207 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0942 loss: 1.0942 2022/07/31 04:49:44 - mmengine - INFO - Epoch(train) [56][400/2505] lr: 5.0000e-06 eta: 1:57:15 time: 0.9292 data_time: 0.0277 memory: 32703 grad_norm: 18.8471 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9792 loss: 0.9792 2022/07/31 04:50:06 - mmengine - INFO - Epoch(train) [56][420/2505] lr: 5.0000e-06 eta: 1:56:55 time: 1.1083 data_time: 0.0327 memory: 32703 grad_norm: 18.3972 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0455 loss: 1.0455 2022/07/31 04:50:23 - mmengine - INFO - Epoch(train) [56][440/2505] lr: 5.0000e-06 eta: 1:56:35 time: 0.8670 data_time: 0.0262 memory: 32703 grad_norm: 20.4374 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8657 loss: 0.8657 2022/07/31 04:50:45 - mmengine - INFO - Epoch(train) [56][460/2505] lr: 5.0000e-06 eta: 1:56:16 time: 1.1014 data_time: 0.0299 memory: 32703 grad_norm: 20.0379 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9649 loss: 0.9649 2022/07/31 04:51:04 - mmengine - INFO - Epoch(train) [56][480/2505] lr: 5.0000e-06 eta: 1:55:56 time: 0.9214 data_time: 0.0280 memory: 32703 grad_norm: 19.1667 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1846 loss: 1.1846 2022/07/31 04:51:26 - mmengine - INFO - Epoch(train) [56][500/2505] lr: 5.0000e-06 eta: 1:55:36 time: 1.0927 data_time: 0.0317 memory: 32703 grad_norm: 18.8341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8294 loss: 0.8294 2022/07/31 04:51:44 - mmengine - INFO - Epoch(train) [56][520/2505] lr: 5.0000e-06 eta: 1:55:16 time: 0.9241 data_time: 0.0287 memory: 32703 grad_norm: 19.2854 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9580 loss: 0.9580 2022/07/31 04:52:06 - mmengine - INFO - Epoch(train) [56][540/2505] lr: 5.0000e-06 eta: 1:54:57 time: 1.0637 data_time: 0.0282 memory: 32703 grad_norm: 20.0760 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9910 loss: 0.9910 2022/07/31 04:52:24 - mmengine - INFO - Epoch(train) [56][560/2505] lr: 5.0000e-06 eta: 1:54:37 time: 0.9157 data_time: 0.0322 memory: 32703 grad_norm: 18.1271 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1877 loss: 1.1877 2022/07/31 04:52:45 - mmengine - INFO - Epoch(train) [56][580/2505] lr: 5.0000e-06 eta: 1:54:17 time: 1.0630 data_time: 0.0336 memory: 32703 grad_norm: 19.6421 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0253 loss: 1.0253 2022/07/31 04:53:04 - mmengine - INFO - Epoch(train) [56][600/2505] lr: 5.0000e-06 eta: 1:53:57 time: 0.9218 data_time: 0.0262 memory: 32703 grad_norm: 18.7147 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8592 loss: 0.8592 2022/07/31 04:53:25 - mmengine - INFO - Epoch(train) [56][620/2505] lr: 5.0000e-06 eta: 1:53:38 time: 1.0674 data_time: 0.0338 memory: 32703 grad_norm: 19.2132 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9130 loss: 0.9130 2022/07/31 04:53:43 - mmengine - INFO - Epoch(train) [56][640/2505] lr: 5.0000e-06 eta: 1:53:18 time: 0.9123 data_time: 0.0285 memory: 32703 grad_norm: 18.4000 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9098 loss: 0.9098 2022/07/31 04:54:04 - mmengine - INFO - Epoch(train) [56][660/2505] lr: 5.0000e-06 eta: 1:52:58 time: 1.0508 data_time: 0.0292 memory: 32703 grad_norm: 19.3258 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9763 loss: 0.9763 2022/07/31 04:54:22 - mmengine - INFO - Epoch(train) [56][680/2505] lr: 5.0000e-06 eta: 1:52:38 time: 0.8771 data_time: 0.0299 memory: 32703 grad_norm: 19.2995 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9482 loss: 0.9482 2022/07/31 04:54:44 - mmengine - INFO - Epoch(train) [56][700/2505] lr: 5.0000e-06 eta: 1:52:18 time: 1.0967 data_time: 0.0304 memory: 32703 grad_norm: 20.1308 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2398 loss: 1.2398 2022/07/31 04:55:02 - mmengine - INFO - Epoch(train) [56][720/2505] lr: 5.0000e-06 eta: 1:51:59 time: 0.9229 data_time: 0.0286 memory: 32703 grad_norm: 19.1725 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8443 loss: 0.8443 2022/07/31 04:55:24 - mmengine - INFO - Epoch(train) [56][740/2505] lr: 5.0000e-06 eta: 1:51:39 time: 1.0990 data_time: 0.0361 memory: 32703 grad_norm: 19.6564 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0137 loss: 1.0137 2022/07/31 04:55:42 - mmengine - INFO - Epoch(train) [56][760/2505] lr: 5.0000e-06 eta: 1:51:19 time: 0.8827 data_time: 0.0356 memory: 32703 grad_norm: 19.2016 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0507 loss: 1.0507 2022/07/31 04:56:03 - mmengine - INFO - Epoch(train) [56][780/2505] lr: 5.0000e-06 eta: 1:50:59 time: 1.0380 data_time: 0.0278 memory: 32703 grad_norm: 18.2511 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9728 loss: 0.9728 2022/07/31 04:56:20 - mmengine - INFO - Epoch(train) [56][800/2505] lr: 5.0000e-06 eta: 1:50:39 time: 0.8850 data_time: 0.0269 memory: 32703 grad_norm: 19.0866 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8930 loss: 0.8930 2022/07/31 04:56:42 - mmengine - INFO - Epoch(train) [56][820/2505] lr: 5.0000e-06 eta: 1:50:20 time: 1.0739 data_time: 0.0270 memory: 32703 grad_norm: 19.2377 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1073 loss: 1.1073 2022/07/31 04:57:00 - mmengine - INFO - Epoch(train) [56][840/2505] lr: 5.0000e-06 eta: 1:50:00 time: 0.8884 data_time: 0.0284 memory: 32703 grad_norm: 19.6851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9919 loss: 0.9919 2022/07/31 04:57:20 - mmengine - INFO - Epoch(train) [56][860/2505] lr: 5.0000e-06 eta: 1:49:40 time: 1.0381 data_time: 0.0297 memory: 32703 grad_norm: 20.1998 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9744 loss: 0.9744 2022/07/31 04:57:38 - mmengine - INFO - Epoch(train) [56][880/2505] lr: 5.0000e-06 eta: 1:49:20 time: 0.8976 data_time: 0.0305 memory: 32703 grad_norm: 20.3937 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9800 loss: 0.9800 2022/07/31 04:57:59 - mmengine - INFO - Epoch(train) [56][900/2505] lr: 5.0000e-06 eta: 1:49:01 time: 1.0424 data_time: 0.0270 memory: 32703 grad_norm: 19.4664 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1917 loss: 1.1917 2022/07/31 04:58:17 - mmengine - INFO - Epoch(train) [56][920/2505] lr: 5.0000e-06 eta: 1:48:41 time: 0.8974 data_time: 0.0312 memory: 32703 grad_norm: 18.6947 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9497 loss: 0.9497 2022/07/31 04:58:40 - mmengine - INFO - Epoch(train) [56][940/2505] lr: 5.0000e-06 eta: 1:48:21 time: 1.1182 data_time: 0.0328 memory: 32703 grad_norm: 18.7099 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2155 loss: 1.2155 2022/07/31 04:58:58 - mmengine - INFO - Epoch(train) [56][960/2505] lr: 5.0000e-06 eta: 1:48:01 time: 0.9135 data_time: 0.0279 memory: 32703 grad_norm: 20.0876 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8576 loss: 0.8576 2022/07/31 04:59:19 - mmengine - INFO - Epoch(train) [56][980/2505] lr: 5.0000e-06 eta: 1:47:42 time: 1.0619 data_time: 0.0272 memory: 32703 grad_norm: 18.7946 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8819 loss: 0.8819 2022/07/31 04:59:37 - mmengine - INFO - Epoch(train) [56][1000/2505] lr: 5.0000e-06 eta: 1:47:22 time: 0.8977 data_time: 0.0345 memory: 32703 grad_norm: 19.5297 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8225 loss: 0.8225 2022/07/31 04:59:58 - mmengine - INFO - Epoch(train) [56][1020/2505] lr: 5.0000e-06 eta: 1:47:02 time: 1.0424 data_time: 0.0265 memory: 32703 grad_norm: 19.1955 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9076 loss: 0.9076 2022/07/31 05:00:17 - mmengine - INFO - Epoch(train) [56][1040/2505] lr: 5.0000e-06 eta: 1:46:42 time: 0.9356 data_time: 0.0307 memory: 32703 grad_norm: 19.5665 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0393 loss: 1.0393 2022/07/31 05:00:38 - mmengine - INFO - Epoch(train) [56][1060/2505] lr: 5.0000e-06 eta: 1:46:22 time: 1.0719 data_time: 0.0284 memory: 32703 grad_norm: 19.2874 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8375 loss: 0.8375 2022/07/31 05:00:56 - mmengine - INFO - Epoch(train) [56][1080/2505] lr: 5.0000e-06 eta: 1:46:03 time: 0.9170 data_time: 0.0287 memory: 32703 grad_norm: 19.8234 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8841 loss: 0.8841 2022/07/31 05:01:17 - mmengine - INFO - Epoch(train) [56][1100/2505] lr: 5.0000e-06 eta: 1:45:43 time: 1.0262 data_time: 0.0368 memory: 32703 grad_norm: 19.3297 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9264 loss: 0.9264 2022/07/31 05:01:37 - mmengine - INFO - Epoch(train) [56][1120/2505] lr: 5.0000e-06 eta: 1:45:23 time: 0.9834 data_time: 0.0278 memory: 32703 grad_norm: 19.6158 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0453 loss: 1.0453 2022/07/31 05:01:56 - mmengine - INFO - Epoch(train) [56][1140/2505] lr: 5.0000e-06 eta: 1:45:03 time: 0.9769 data_time: 0.0251 memory: 32703 grad_norm: 18.9109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7513 loss: 0.7513 2022/07/31 05:02:16 - mmengine - INFO - Epoch(train) [56][1160/2505] lr: 5.0000e-06 eta: 1:44:43 time: 0.9979 data_time: 0.0347 memory: 32703 grad_norm: 18.5785 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9793 loss: 0.9793 2022/07/31 05:02:36 - mmengine - INFO - Epoch(train) [56][1180/2505] lr: 5.0000e-06 eta: 1:44:24 time: 0.9744 data_time: 0.0312 memory: 32703 grad_norm: 18.9378 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1164 loss: 1.1164 2022/07/31 05:02:56 - mmengine - INFO - Epoch(train) [56][1200/2505] lr: 5.0000e-06 eta: 1:44:04 time: 1.0289 data_time: 0.0308 memory: 32703 grad_norm: 19.1712 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9135 loss: 0.9135 2022/07/31 05:03:15 - mmengine - INFO - Epoch(train) [56][1220/2505] lr: 5.0000e-06 eta: 1:43:44 time: 0.9176 data_time: 0.0291 memory: 32703 grad_norm: 19.5004 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8816 loss: 0.8816 2022/07/31 05:03:21 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 05:03:36 - mmengine - INFO - Epoch(train) [56][1240/2505] lr: 5.0000e-06 eta: 1:43:24 time: 1.0492 data_time: 0.0328 memory: 32703 grad_norm: 19.5707 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9506 loss: 0.9506 2022/07/31 05:03:54 - mmengine - INFO - Epoch(train) [56][1260/2505] lr: 5.0000e-06 eta: 1:43:05 time: 0.9373 data_time: 0.0277 memory: 32703 grad_norm: 19.1736 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8818 loss: 0.8818 2022/07/31 05:04:14 - mmengine - INFO - Epoch(train) [56][1280/2505] lr: 5.0000e-06 eta: 1:42:45 time: 1.0060 data_time: 0.0265 memory: 32703 grad_norm: 19.3155 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0115 loss: 1.0115 2022/07/31 05:04:35 - mmengine - INFO - Epoch(train) [56][1300/2505] lr: 5.0000e-06 eta: 1:42:25 time: 1.0293 data_time: 0.0283 memory: 32703 grad_norm: 18.9397 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1912 loss: 1.1912 2022/07/31 05:04:54 - mmengine - INFO - Epoch(train) [56][1320/2505] lr: 5.0000e-06 eta: 1:42:05 time: 0.9356 data_time: 0.0299 memory: 32703 grad_norm: 19.0205 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1468 loss: 1.1468 2022/07/31 05:05:15 - mmengine - INFO - Epoch(train) [56][1340/2505] lr: 5.0000e-06 eta: 1:41:46 time: 1.0833 data_time: 0.0262 memory: 32703 grad_norm: 18.9008 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9988 loss: 0.9988 2022/07/31 05:05:33 - mmengine - INFO - Epoch(train) [56][1360/2505] lr: 5.0000e-06 eta: 1:41:26 time: 0.8697 data_time: 0.0300 memory: 32703 grad_norm: 20.1554 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2084 loss: 1.2084 2022/07/31 05:05:54 - mmengine - INFO - Epoch(train) [56][1380/2505] lr: 5.0000e-06 eta: 1:41:06 time: 1.0705 data_time: 0.0318 memory: 32703 grad_norm: 19.2796 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0277 loss: 1.0277 2022/07/31 05:06:12 - mmengine - INFO - Epoch(train) [56][1400/2505] lr: 5.0000e-06 eta: 1:40:46 time: 0.8686 data_time: 0.0318 memory: 32703 grad_norm: 19.5736 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1822 loss: 1.1822 2022/07/31 05:06:34 - mmengine - INFO - Epoch(train) [56][1420/2505] lr: 5.0000e-06 eta: 1:40:26 time: 1.1064 data_time: 0.0272 memory: 32703 grad_norm: 18.8605 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8144 loss: 0.8144 2022/07/31 05:06:52 - mmengine - INFO - Epoch(train) [56][1440/2505] lr: 5.0000e-06 eta: 1:40:07 time: 0.9172 data_time: 0.0284 memory: 32703 grad_norm: 19.0880 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9153 loss: 0.9153 2022/07/31 05:07:14 - mmengine - INFO - Epoch(train) [56][1460/2505] lr: 5.0000e-06 eta: 1:39:47 time: 1.0898 data_time: 0.0280 memory: 32703 grad_norm: 19.1187 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8619 loss: 0.8619 2022/07/31 05:07:31 - mmengine - INFO - Epoch(train) [56][1480/2505] lr: 5.0000e-06 eta: 1:39:27 time: 0.8761 data_time: 0.0298 memory: 32703 grad_norm: 19.6967 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9790 loss: 0.9790 2022/07/31 05:07:53 - mmengine - INFO - Epoch(train) [56][1500/2505] lr: 5.0000e-06 eta: 1:39:07 time: 1.0646 data_time: 0.0278 memory: 32703 grad_norm: 19.0281 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.0415 loss: 1.0415 2022/07/31 05:08:10 - mmengine - INFO - Epoch(train) [56][1520/2505] lr: 5.0000e-06 eta: 1:38:47 time: 0.8685 data_time: 0.0289 memory: 32703 grad_norm: 18.9106 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9535 loss: 0.9535 2022/07/31 05:08:31 - mmengine - INFO - Epoch(train) [56][1540/2505] lr: 5.0000e-06 eta: 1:38:28 time: 1.0654 data_time: 0.0269 memory: 32703 grad_norm: 18.9584 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.7983 loss: 0.7983 2022/07/31 05:08:50 - mmengine - INFO - Epoch(train) [56][1560/2505] lr: 5.0000e-06 eta: 1:38:08 time: 0.9217 data_time: 0.0295 memory: 32703 grad_norm: 19.6372 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1224 loss: 1.1224 2022/07/31 05:09:12 - mmengine - INFO - Epoch(train) [56][1580/2505] lr: 5.0000e-06 eta: 1:37:48 time: 1.0914 data_time: 0.0299 memory: 32703 grad_norm: 19.1212 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1492 loss: 1.1492 2022/07/31 05:09:30 - mmengine - INFO - Epoch(train) [56][1600/2505] lr: 5.0000e-06 eta: 1:37:28 time: 0.9000 data_time: 0.0315 memory: 32703 grad_norm: 18.8979 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.7905 loss: 0.7905 2022/07/31 05:09:51 - mmengine - INFO - Epoch(train) [56][1620/2505] lr: 5.0000e-06 eta: 1:37:09 time: 1.0434 data_time: 0.0289 memory: 32703 grad_norm: 18.6265 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8501 loss: 0.8501 2022/07/31 05:10:10 - mmengine - INFO - Epoch(train) [56][1640/2505] lr: 5.0000e-06 eta: 1:36:49 time: 0.9520 data_time: 0.0298 memory: 32703 grad_norm: 19.4594 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0530 loss: 1.0530 2022/07/31 05:10:31 - mmengine - INFO - Epoch(train) [56][1660/2505] lr: 5.0000e-06 eta: 1:36:29 time: 1.0650 data_time: 0.0296 memory: 32703 grad_norm: 18.5091 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0666 loss: 1.0666 2022/07/31 05:10:49 - mmengine - INFO - Epoch(train) [56][1680/2505] lr: 5.0000e-06 eta: 1:36:09 time: 0.9095 data_time: 0.0258 memory: 32703 grad_norm: 19.7455 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9434 loss: 0.9434 2022/07/31 05:11:10 - mmengine - INFO - Epoch(train) [56][1700/2505] lr: 5.0000e-06 eta: 1:35:50 time: 1.0469 data_time: 0.0286 memory: 32703 grad_norm: 19.6004 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9557 loss: 0.9557 2022/07/31 05:11:28 - mmengine - INFO - Epoch(train) [56][1720/2505] lr: 5.0000e-06 eta: 1:35:30 time: 0.9059 data_time: 0.0280 memory: 32703 grad_norm: 19.5181 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1367 loss: 1.1367 2022/07/31 05:11:50 - mmengine - INFO - Epoch(train) [56][1740/2505] lr: 5.0000e-06 eta: 1:35:10 time: 1.0983 data_time: 0.0286 memory: 32703 grad_norm: 19.0910 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9575 loss: 0.9575 2022/07/31 05:12:08 - mmengine - INFO - Epoch(train) [56][1760/2505] lr: 5.0000e-06 eta: 1:34:50 time: 0.8970 data_time: 0.0273 memory: 32703 grad_norm: 18.5612 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9491 loss: 0.9491 2022/07/31 05:12:29 - mmengine - INFO - Epoch(train) [56][1780/2505] lr: 5.0000e-06 eta: 1:34:30 time: 1.0379 data_time: 0.0276 memory: 32703 grad_norm: 18.5825 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9754 loss: 0.9754 2022/07/31 05:12:48 - mmengine - INFO - Epoch(train) [56][1800/2505] lr: 5.0000e-06 eta: 1:34:11 time: 0.9551 data_time: 0.0272 memory: 32703 grad_norm: 18.5399 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1278 loss: 1.1278 2022/07/31 05:13:09 - mmengine - INFO - Epoch(train) [56][1820/2505] lr: 5.0000e-06 eta: 1:33:51 time: 1.0334 data_time: 0.0277 memory: 32703 grad_norm: 19.5747 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9386 loss: 0.9386 2022/07/31 05:13:28 - mmengine - INFO - Epoch(train) [56][1840/2505] lr: 5.0000e-06 eta: 1:33:31 time: 0.9435 data_time: 0.0297 memory: 32703 grad_norm: 19.0755 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9291 loss: 0.9291 2022/07/31 05:13:48 - mmengine - INFO - Epoch(train) [56][1860/2505] lr: 5.0000e-06 eta: 1:33:11 time: 1.0412 data_time: 0.0272 memory: 32703 grad_norm: 18.8235 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0532 loss: 1.0532 2022/07/31 05:14:07 - mmengine - INFO - Epoch(train) [56][1880/2505] lr: 5.0000e-06 eta: 1:32:51 time: 0.9401 data_time: 0.0311 memory: 32703 grad_norm: 19.2600 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0095 loss: 1.0095 2022/07/31 05:14:27 - mmengine - INFO - Epoch(train) [56][1900/2505] lr: 5.0000e-06 eta: 1:32:32 time: 0.9776 data_time: 0.0292 memory: 32703 grad_norm: 18.5615 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9881 loss: 0.9881 2022/07/31 05:14:45 - mmengine - INFO - Epoch(train) [56][1920/2505] lr: 5.0000e-06 eta: 1:32:12 time: 0.9269 data_time: 0.0276 memory: 32703 grad_norm: 19.9402 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7674 loss: 0.7674 2022/07/31 05:15:06 - mmengine - INFO - Epoch(train) [56][1940/2505] lr: 5.0000e-06 eta: 1:31:52 time: 1.0479 data_time: 0.0282 memory: 32703 grad_norm: 18.5438 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0753 loss: 1.0753 2022/07/31 05:15:25 - mmengine - INFO - Epoch(train) [56][1960/2505] lr: 5.0000e-06 eta: 1:31:32 time: 0.9443 data_time: 0.0277 memory: 32703 grad_norm: 18.9945 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9384 loss: 0.9384 2022/07/31 05:15:47 - mmengine - INFO - Epoch(train) [56][1980/2505] lr: 5.0000e-06 eta: 1:31:13 time: 1.0878 data_time: 0.0266 memory: 32703 grad_norm: 18.8924 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0409 loss: 1.0409 2022/07/31 05:16:05 - mmengine - INFO - Epoch(train) [56][2000/2505] lr: 5.0000e-06 eta: 1:30:53 time: 0.8831 data_time: 0.0299 memory: 32703 grad_norm: 18.8444 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0536 loss: 1.0536 2022/07/31 05:16:26 - mmengine - INFO - Epoch(train) [56][2020/2505] lr: 5.0000e-06 eta: 1:30:33 time: 1.0828 data_time: 0.0269 memory: 32703 grad_norm: 19.3295 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1585 loss: 1.1585 2022/07/31 05:16:44 - mmengine - INFO - Epoch(train) [56][2040/2505] lr: 5.0000e-06 eta: 1:30:13 time: 0.8577 data_time: 0.0275 memory: 32703 grad_norm: 19.0153 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0417 loss: 1.0417 2022/07/31 05:17:05 - mmengine - INFO - Epoch(train) [56][2060/2505] lr: 5.0000e-06 eta: 1:29:54 time: 1.0968 data_time: 0.0350 memory: 32703 grad_norm: 19.1048 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0119 loss: 1.0119 2022/07/31 05:17:22 - mmengine - INFO - Epoch(train) [56][2080/2505] lr: 5.0000e-06 eta: 1:29:34 time: 0.8399 data_time: 0.0288 memory: 32703 grad_norm: 19.2022 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.1259 loss: 1.1259 2022/07/31 05:17:43 - mmengine - INFO - Epoch(train) [56][2100/2505] lr: 5.0000e-06 eta: 1:29:14 time: 1.0537 data_time: 0.0263 memory: 32703 grad_norm: 19.5891 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9855 loss: 0.9855 2022/07/31 05:18:02 - mmengine - INFO - Epoch(train) [56][2120/2505] lr: 5.0000e-06 eta: 1:28:54 time: 0.9352 data_time: 0.0312 memory: 32703 grad_norm: 19.5996 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8961 loss: 0.8961 2022/07/31 05:18:23 - mmengine - INFO - Epoch(train) [56][2140/2505] lr: 5.0000e-06 eta: 1:28:34 time: 1.0413 data_time: 0.0333 memory: 32703 grad_norm: 19.6903 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1732 loss: 1.1732 2022/07/31 05:18:41 - mmengine - INFO - Epoch(train) [56][2160/2505] lr: 5.0000e-06 eta: 1:28:15 time: 0.9167 data_time: 0.0297 memory: 32703 grad_norm: 19.3584 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8057 loss: 0.8057 2022/07/31 05:19:02 - mmengine - INFO - Epoch(train) [56][2180/2505] lr: 5.0000e-06 eta: 1:27:55 time: 1.0153 data_time: 0.0289 memory: 32703 grad_norm: 19.3899 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9955 loss: 0.9955 2022/07/31 05:19:20 - mmengine - INFO - Epoch(train) [56][2200/2505] lr: 5.0000e-06 eta: 1:27:35 time: 0.8922 data_time: 0.0329 memory: 32703 grad_norm: 19.6269 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8663 loss: 0.8663 2022/07/31 05:19:41 - mmengine - INFO - Epoch(train) [56][2220/2505] lr: 5.0000e-06 eta: 1:27:15 time: 1.0583 data_time: 0.0329 memory: 32703 grad_norm: 19.3506 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0642 loss: 1.0642 2022/07/31 05:19:44 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 05:19:59 - mmengine - INFO - Epoch(train) [56][2240/2505] lr: 5.0000e-06 eta: 1:26:55 time: 0.9426 data_time: 0.0315 memory: 32703 grad_norm: 18.8723 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2089 loss: 1.2089 2022/07/31 05:20:21 - mmengine - INFO - Epoch(train) [56][2260/2505] lr: 5.0000e-06 eta: 1:26:36 time: 1.0704 data_time: 0.0262 memory: 32703 grad_norm: 19.3175 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1672 loss: 1.1672 2022/07/31 05:20:39 - mmengine - INFO - Epoch(train) [56][2280/2505] lr: 5.0000e-06 eta: 1:26:16 time: 0.8922 data_time: 0.0286 memory: 32703 grad_norm: 18.7309 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9475 loss: 0.9475 2022/07/31 05:20:59 - mmengine - INFO - Epoch(train) [56][2300/2505] lr: 5.0000e-06 eta: 1:25:56 time: 1.0352 data_time: 0.0384 memory: 32703 grad_norm: 19.0005 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9354 loss: 0.9354 2022/07/31 05:21:18 - mmengine - INFO - Epoch(train) [56][2320/2505] lr: 5.0000e-06 eta: 1:25:36 time: 0.9131 data_time: 0.1010 memory: 32703 grad_norm: 18.7021 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 0.9478 loss: 0.9478 2022/07/31 05:21:39 - mmengine - INFO - Epoch(train) [56][2340/2505] lr: 5.0000e-06 eta: 1:25:17 time: 1.0620 data_time: 0.1193 memory: 32703 grad_norm: 18.8879 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0004 loss: 1.0004 2022/07/31 05:21:57 - mmengine - INFO - Epoch(train) [56][2360/2505] lr: 5.0000e-06 eta: 1:24:57 time: 0.8911 data_time: 0.0623 memory: 32703 grad_norm: 18.4925 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0205 loss: 1.0205 2022/07/31 05:22:18 - mmengine - INFO - Epoch(train) [56][2380/2505] lr: 5.0000e-06 eta: 1:24:37 time: 1.0772 data_time: 0.0582 memory: 32703 grad_norm: 19.4405 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9901 loss: 0.9901 2022/07/31 05:22:37 - mmengine - INFO - Epoch(train) [56][2400/2505] lr: 5.0000e-06 eta: 1:24:17 time: 0.9178 data_time: 0.0352 memory: 32703 grad_norm: 18.9254 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9071 loss: 0.9071 2022/07/31 05:22:58 - mmengine - INFO - Epoch(train) [56][2420/2505] lr: 5.0000e-06 eta: 1:23:57 time: 1.0589 data_time: 0.0476 memory: 32703 grad_norm: 19.0261 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9978 loss: 0.9978 2022/07/31 05:23:17 - mmengine - INFO - Epoch(train) [56][2440/2505] lr: 5.0000e-06 eta: 1:23:38 time: 0.9341 data_time: 0.0359 memory: 32703 grad_norm: 19.5849 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9006 loss: 0.9006 2022/07/31 05:23:38 - mmengine - INFO - Epoch(train) [56][2460/2505] lr: 5.0000e-06 eta: 1:23:18 time: 1.0731 data_time: 0.0292 memory: 32703 grad_norm: 18.8397 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8754 loss: 0.8754 2022/07/31 05:23:56 - mmengine - INFO - Epoch(train) [56][2480/2505] lr: 5.0000e-06 eta: 1:22:58 time: 0.8741 data_time: 0.0273 memory: 32703 grad_norm: 19.5325 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0462 loss: 1.0462 2022/07/31 05:24:14 - mmengine - INFO - Epoch(train) [56][2500/2505] lr: 5.0000e-06 eta: 1:22:38 time: 0.9239 data_time: 0.0330 memory: 32703 grad_norm: 19.1777 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9464 loss: 0.9464 2022/07/31 05:24:17 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 05:24:17 - mmengine - INFO - Epoch(train) [56][2505/2505] lr: 5.0000e-06 eta: 1:22:38 time: 0.7829 data_time: 0.0223 memory: 32703 grad_norm: 19.7242 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0325 loss: 1.0325 2022/07/31 05:24:17 - mmengine - INFO - Saving checkpoint at 56 epochs 2022/07/31 05:24:48 - mmengine - INFO - Epoch(train) [57][20/2505] lr: 5.0000e-06 eta: 1:22:13 time: 1.2645 data_time: 0.6857 memory: 32703 grad_norm: 18.5744 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.8310 loss: 0.8310 2022/07/31 05:25:06 - mmengine - INFO - Epoch(train) [57][40/2505] lr: 5.0000e-06 eta: 1:21:54 time: 0.8947 data_time: 0.3059 memory: 32703 grad_norm: 18.8553 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7658 loss: 0.7658 2022/07/31 05:25:27 - mmengine - INFO - Epoch(train) [57][60/2505] lr: 5.0000e-06 eta: 1:21:34 time: 1.0520 data_time: 0.4555 memory: 32703 grad_norm: 19.9470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0796 loss: 1.0796 2022/07/31 05:25:46 - mmengine - INFO - Epoch(train) [57][80/2505] lr: 5.0000e-06 eta: 1:21:14 time: 0.9550 data_time: 0.3828 memory: 32703 grad_norm: 18.7150 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8816 loss: 0.8816 2022/07/31 05:26:08 - mmengine - INFO - Epoch(train) [57][100/2505] lr: 5.0000e-06 eta: 1:20:54 time: 1.0731 data_time: 0.4849 memory: 32703 grad_norm: 19.4056 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9971 loss: 0.9971 2022/07/31 05:26:26 - mmengine - INFO - Epoch(train) [57][120/2505] lr: 5.0000e-06 eta: 1:20:35 time: 0.9174 data_time: 0.3431 memory: 32703 grad_norm: 19.1642 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9988 loss: 0.9988 2022/07/31 05:26:47 - mmengine - INFO - Epoch(train) [57][140/2505] lr: 5.0000e-06 eta: 1:20:15 time: 1.0624 data_time: 0.4856 memory: 32703 grad_norm: 18.4135 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9448 loss: 0.9448 2022/07/31 05:27:05 - mmengine - INFO - Epoch(train) [57][160/2505] lr: 5.0000e-06 eta: 1:19:55 time: 0.8868 data_time: 0.3078 memory: 32703 grad_norm: 18.5379 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1262 loss: 1.1262 2022/07/31 05:27:26 - mmengine - INFO - Epoch(train) [57][180/2505] lr: 5.0000e-06 eta: 1:19:35 time: 1.0494 data_time: 0.4618 memory: 32703 grad_norm: 18.2250 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7268 loss: 0.7268 2022/07/31 05:27:43 - mmengine - INFO - Epoch(train) [57][200/2505] lr: 5.0000e-06 eta: 1:19:15 time: 0.8727 data_time: 0.2896 memory: 32703 grad_norm: 17.9884 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9023 loss: 0.9023 2022/07/31 05:28:05 - mmengine - INFO - Epoch(train) [57][220/2505] lr: 5.0000e-06 eta: 1:18:56 time: 1.0857 data_time: 0.4881 memory: 32703 grad_norm: 18.6555 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0057 loss: 1.0057 2022/07/31 05:28:24 - mmengine - INFO - Epoch(train) [57][240/2505] lr: 5.0000e-06 eta: 1:18:36 time: 0.9276 data_time: 0.3443 memory: 32703 grad_norm: 18.8829 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1399 loss: 1.1399 2022/07/31 05:28:46 - mmengine - INFO - Epoch(train) [57][260/2505] lr: 5.0000e-06 eta: 1:18:16 time: 1.0947 data_time: 0.4917 memory: 32703 grad_norm: 18.9925 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9344 loss: 0.9344 2022/07/31 05:29:03 - mmengine - INFO - Epoch(train) [57][280/2505] lr: 5.0000e-06 eta: 1:17:56 time: 0.8835 data_time: 0.2942 memory: 32703 grad_norm: 19.2722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8338 loss: 0.8338 2022/07/31 05:29:24 - mmengine - INFO - Epoch(train) [57][300/2505] lr: 5.0000e-06 eta: 1:17:37 time: 1.0396 data_time: 0.4428 memory: 32703 grad_norm: 19.3854 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8778 loss: 0.8778 2022/07/31 05:29:42 - mmengine - INFO - Epoch(train) [57][320/2505] lr: 5.0000e-06 eta: 1:17:17 time: 0.8976 data_time: 0.3169 memory: 32703 grad_norm: 18.1381 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9531 loss: 0.9531 2022/07/31 05:30:03 - mmengine - INFO - Epoch(train) [57][340/2505] lr: 5.0000e-06 eta: 1:16:57 time: 1.0450 data_time: 0.4661 memory: 32703 grad_norm: 18.9166 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.7515 loss: 0.7515 2022/07/31 05:30:22 - mmengine - INFO - Epoch(train) [57][360/2505] lr: 5.0000e-06 eta: 1:16:37 time: 0.9659 data_time: 0.3705 memory: 32703 grad_norm: 18.8968 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9058 loss: 0.9058 2022/07/31 05:30:43 - mmengine - INFO - Epoch(train) [57][380/2505] lr: 5.0000e-06 eta: 1:16:17 time: 1.0463 data_time: 0.4511 memory: 32703 grad_norm: 19.7310 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0259 loss: 1.0259 2022/07/31 05:31:03 - mmengine - INFO - Epoch(train) [57][400/2505] lr: 5.0000e-06 eta: 1:15:58 time: 0.9738 data_time: 0.3679 memory: 32703 grad_norm: 19.0668 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9457 loss: 0.9457 2022/07/31 05:31:23 - mmengine - INFO - Epoch(train) [57][420/2505] lr: 5.0000e-06 eta: 1:15:38 time: 1.0308 data_time: 0.4512 memory: 32703 grad_norm: 18.4536 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9102 loss: 0.9102 2022/07/31 05:31:42 - mmengine - INFO - Epoch(train) [57][440/2505] lr: 5.0000e-06 eta: 1:15:18 time: 0.9101 data_time: 0.3154 memory: 32703 grad_norm: 18.6948 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0073 loss: 1.0073 2022/07/31 05:32:03 - mmengine - INFO - Epoch(train) [57][460/2505] lr: 5.0000e-06 eta: 1:14:58 time: 1.0535 data_time: 0.4719 memory: 32703 grad_norm: 18.8064 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9378 loss: 0.9378 2022/07/31 05:32:21 - mmengine - INFO - Epoch(train) [57][480/2505] lr: 5.0000e-06 eta: 1:14:39 time: 0.9105 data_time: 0.3238 memory: 32703 grad_norm: 18.8845 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.0710 loss: 1.0710 2022/07/31 05:32:42 - mmengine - INFO - Epoch(train) [57][500/2505] lr: 5.0000e-06 eta: 1:14:19 time: 1.0625 data_time: 0.4834 memory: 32703 grad_norm: 19.0254 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9079 loss: 0.9079 2022/07/31 05:33:00 - mmengine - INFO - Epoch(train) [57][520/2505] lr: 5.0000e-06 eta: 1:13:59 time: 0.8995 data_time: 0.3188 memory: 32703 grad_norm: 19.9459 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9876 loss: 0.9876 2022/07/31 05:33:21 - mmengine - INFO - Epoch(train) [57][540/2505] lr: 5.0000e-06 eta: 1:13:39 time: 1.0622 data_time: 0.4751 memory: 32703 grad_norm: 19.3801 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9013 loss: 0.9013 2022/07/31 05:33:39 - mmengine - INFO - Epoch(train) [57][560/2505] lr: 5.0000e-06 eta: 1:13:19 time: 0.8718 data_time: 0.2777 memory: 32703 grad_norm: 18.8887 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7952 loss: 0.7952 2022/07/31 05:34:00 - mmengine - INFO - Epoch(train) [57][580/2505] lr: 5.0000e-06 eta: 1:13:00 time: 1.0635 data_time: 0.4629 memory: 32703 grad_norm: 18.6796 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9533 loss: 0.9533 2022/07/31 05:34:19 - mmengine - INFO - Epoch(train) [57][600/2505] lr: 5.0000e-06 eta: 1:12:40 time: 0.9246 data_time: 0.3265 memory: 32703 grad_norm: 19.2651 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0719 loss: 1.0719 2022/07/31 05:34:39 - mmengine - INFO - Epoch(train) [57][620/2505] lr: 5.0000e-06 eta: 1:12:20 time: 1.0386 data_time: 0.4386 memory: 32703 grad_norm: 19.1479 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1045 loss: 1.1045 2022/07/31 05:34:57 - mmengine - INFO - Epoch(train) [57][640/2505] lr: 5.0000e-06 eta: 1:12:00 time: 0.8760 data_time: 0.2717 memory: 32703 grad_norm: 19.6396 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9737 loss: 0.9737 2022/07/31 05:35:18 - mmengine - INFO - Epoch(train) [57][660/2505] lr: 5.0000e-06 eta: 1:11:41 time: 1.0690 data_time: 0.4759 memory: 32703 grad_norm: 19.5140 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2042 loss: 1.2042 2022/07/31 05:35:36 - mmengine - INFO - Epoch(train) [57][680/2505] lr: 5.0000e-06 eta: 1:11:21 time: 0.9048 data_time: 0.3197 memory: 32703 grad_norm: 19.1145 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8701 loss: 0.8701 2022/07/31 05:35:58 - mmengine - INFO - Epoch(train) [57][700/2505] lr: 5.0000e-06 eta: 1:11:01 time: 1.0846 data_time: 0.4824 memory: 32703 grad_norm: 19.7201 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9366 loss: 0.9366 2022/07/31 05:36:17 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 05:36:17 - mmengine - INFO - Epoch(train) [57][720/2505] lr: 5.0000e-06 eta: 1:10:41 time: 0.9277 data_time: 0.3511 memory: 32703 grad_norm: 19.3284 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0103 loss: 1.0103 2022/07/31 05:36:38 - mmengine - INFO - Epoch(train) [57][740/2505] lr: 5.0000e-06 eta: 1:10:21 time: 1.0542 data_time: 0.4643 memory: 32703 grad_norm: 18.7715 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9625 loss: 0.9625 2022/07/31 05:36:56 - mmengine - INFO - Epoch(train) [57][760/2505] lr: 5.0000e-06 eta: 1:10:02 time: 0.8929 data_time: 0.3135 memory: 32703 grad_norm: 18.9126 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9590 loss: 0.9590 2022/07/31 05:37:17 - mmengine - INFO - Epoch(train) [57][780/2505] lr: 5.0000e-06 eta: 1:09:42 time: 1.0649 data_time: 0.4765 memory: 32703 grad_norm: 19.0961 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.9976 loss: 0.9976 2022/07/31 05:37:36 - mmengine - INFO - Epoch(train) [57][800/2505] lr: 5.0000e-06 eta: 1:09:22 time: 0.9359 data_time: 0.3565 memory: 32703 grad_norm: 19.8906 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.7742 loss: 0.7742 2022/07/31 05:37:56 - mmengine - INFO - Epoch(train) [57][820/2505] lr: 5.0000e-06 eta: 1:09:02 time: 1.0287 data_time: 0.4342 memory: 32703 grad_norm: 18.6613 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0183 loss: 1.0183 2022/07/31 05:38:14 - mmengine - INFO - Epoch(train) [57][840/2505] lr: 5.0000e-06 eta: 1:08:43 time: 0.8901 data_time: 0.3109 memory: 32703 grad_norm: 18.3219 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9167 loss: 0.9167 2022/07/31 05:38:35 - mmengine - INFO - Epoch(train) [57][860/2505] lr: 5.0000e-06 eta: 1:08:23 time: 1.0662 data_time: 0.4745 memory: 32703 grad_norm: 18.7484 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8769 loss: 0.8769 2022/07/31 05:38:53 - mmengine - INFO - Epoch(train) [57][880/2505] lr: 5.0000e-06 eta: 1:08:03 time: 0.8993 data_time: 0.3261 memory: 32703 grad_norm: 18.7366 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9388 loss: 0.9388 2022/07/31 05:39:15 - mmengine - INFO - Epoch(train) [57][900/2505] lr: 5.0000e-06 eta: 1:07:43 time: 1.0675 data_time: 0.4716 memory: 32703 grad_norm: 18.7768 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9426 loss: 0.9426 2022/07/31 05:39:33 - mmengine - INFO - Epoch(train) [57][920/2505] lr: 5.0000e-06 eta: 1:07:23 time: 0.9330 data_time: 0.3388 memory: 32703 grad_norm: 19.8773 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9014 loss: 0.9014 2022/07/31 05:39:54 - mmengine - INFO - Epoch(train) [57][940/2505] lr: 5.0000e-06 eta: 1:07:04 time: 1.0104 data_time: 0.3897 memory: 32703 grad_norm: 19.3727 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8196 loss: 0.8196 2022/07/31 05:40:14 - mmengine - INFO - Epoch(train) [57][960/2505] lr: 5.0000e-06 eta: 1:06:44 time: 0.9953 data_time: 0.2503 memory: 32703 grad_norm: 19.4872 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9227 loss: 0.9227 2022/07/31 05:40:34 - mmengine - INFO - Epoch(train) [57][980/2505] lr: 5.0000e-06 eta: 1:06:24 time: 1.0208 data_time: 0.3643 memory: 32703 grad_norm: 19.0251 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0915 loss: 1.0915 2022/07/31 05:40:53 - mmengine - INFO - Epoch(train) [57][1000/2505] lr: 5.0000e-06 eta: 1:06:04 time: 0.9703 data_time: 0.1620 memory: 32703 grad_norm: 18.8714 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0281 loss: 1.0281 2022/07/31 05:41:13 - mmengine - INFO - Epoch(train) [57][1020/2505] lr: 5.0000e-06 eta: 1:05:45 time: 1.0053 data_time: 0.3430 memory: 32703 grad_norm: 19.7993 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9507 loss: 0.9507 2022/07/31 05:41:32 - mmengine - INFO - Epoch(train) [57][1040/2505] lr: 5.0000e-06 eta: 1:05:25 time: 0.9319 data_time: 0.2570 memory: 32703 grad_norm: 17.7864 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.6432 loss: 0.6432 2022/07/31 05:41:52 - mmengine - INFO - Epoch(train) [57][1060/2505] lr: 5.0000e-06 eta: 1:05:05 time: 1.0097 data_time: 0.3817 memory: 32703 grad_norm: 19.0420 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9410 loss: 0.9410 2022/07/31 05:42:12 - mmengine - INFO - Epoch(train) [57][1080/2505] lr: 5.0000e-06 eta: 1:04:45 time: 0.9674 data_time: 0.2764 memory: 32703 grad_norm: 19.7767 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0851 loss: 1.0851 2022/07/31 05:42:32 - mmengine - INFO - Epoch(train) [57][1100/2505] lr: 5.0000e-06 eta: 1:04:25 time: 1.0045 data_time: 0.2933 memory: 32703 grad_norm: 19.2488 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0775 loss: 1.0775 2022/07/31 05:42:51 - mmengine - INFO - Epoch(train) [57][1120/2505] lr: 5.0000e-06 eta: 1:04:06 time: 0.9658 data_time: 0.1570 memory: 32703 grad_norm: 18.4172 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.7744 loss: 0.7744 2022/07/31 05:43:11 - mmengine - INFO - Epoch(train) [57][1140/2505] lr: 5.0000e-06 eta: 1:03:46 time: 0.9827 data_time: 0.2075 memory: 32703 grad_norm: 19.5295 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0008 loss: 1.0008 2022/07/31 05:43:31 - mmengine - INFO - Epoch(train) [57][1160/2505] lr: 5.0000e-06 eta: 1:03:26 time: 0.9965 data_time: 0.1707 memory: 32703 grad_norm: 18.9280 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.1169 loss: 1.1169 2022/07/31 05:43:51 - mmengine - INFO - Epoch(train) [57][1180/2505] lr: 5.0000e-06 eta: 1:03:06 time: 1.0000 data_time: 0.3025 memory: 32703 grad_norm: 19.6407 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1246 loss: 1.1246 2022/07/31 05:44:11 - mmengine - INFO - Epoch(train) [57][1200/2505] lr: 5.0000e-06 eta: 1:02:47 time: 0.9914 data_time: 0.2963 memory: 32703 grad_norm: 19.6119 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0017 loss: 1.0017 2022/07/31 05:44:31 - mmengine - INFO - Epoch(train) [57][1220/2505] lr: 5.0000e-06 eta: 1:02:27 time: 0.9978 data_time: 0.3715 memory: 32703 grad_norm: 20.5943 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1341 loss: 1.1341 2022/07/31 05:44:50 - mmengine - INFO - Epoch(train) [57][1240/2505] lr: 5.0000e-06 eta: 1:02:07 time: 0.9646 data_time: 0.2540 memory: 32703 grad_norm: 18.4061 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9404 loss: 0.9404 2022/07/31 05:45:10 - mmengine - INFO - Epoch(train) [57][1260/2505] lr: 5.0000e-06 eta: 1:01:47 time: 1.0081 data_time: 0.2387 memory: 32703 grad_norm: 19.1119 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8495 loss: 0.8495 2022/07/31 05:45:30 - mmengine - INFO - Epoch(train) [57][1280/2505] lr: 5.0000e-06 eta: 1:01:28 time: 0.9922 data_time: 0.2094 memory: 32703 grad_norm: 20.0534 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0499 loss: 1.0499 2022/07/31 05:45:49 - mmengine - INFO - Epoch(train) [57][1300/2505] lr: 5.0000e-06 eta: 1:01:08 time: 0.9606 data_time: 0.2648 memory: 32703 grad_norm: 19.3191 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1216 loss: 1.1216 2022/07/31 05:46:09 - mmengine - INFO - Epoch(train) [57][1320/2505] lr: 5.0000e-06 eta: 1:00:48 time: 1.0126 data_time: 0.1603 memory: 32703 grad_norm: 19.0349 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2155 loss: 1.2155 2022/07/31 05:46:28 - mmengine - INFO - Epoch(train) [57][1340/2505] lr: 5.0000e-06 eta: 1:00:28 time: 0.9390 data_time: 0.0526 memory: 32703 grad_norm: 19.2562 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0662 loss: 1.0662 2022/07/31 05:46:49 - mmengine - INFO - Epoch(train) [57][1360/2505] lr: 5.0000e-06 eta: 1:00:08 time: 1.0541 data_time: 0.0514 memory: 32703 grad_norm: 20.0701 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0614 loss: 1.0614 2022/07/31 05:47:08 - mmengine - INFO - Epoch(train) [57][1380/2505] lr: 5.0000e-06 eta: 0:59:49 time: 0.9295 data_time: 0.0577 memory: 32703 grad_norm: 19.1535 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.0870 loss: 1.0870 2022/07/31 05:47:29 - mmengine - INFO - Epoch(train) [57][1400/2505] lr: 5.0000e-06 eta: 0:59:29 time: 1.0392 data_time: 0.0971 memory: 32703 grad_norm: 18.7159 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8711 loss: 0.8711 2022/07/31 05:47:47 - mmengine - INFO - Epoch(train) [57][1420/2505] lr: 5.0000e-06 eta: 0:59:09 time: 0.9356 data_time: 0.1467 memory: 32703 grad_norm: 19.1060 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9686 loss: 0.9686 2022/07/31 05:48:08 - mmengine - INFO - Epoch(train) [57][1440/2505] lr: 5.0000e-06 eta: 0:58:49 time: 1.0392 data_time: 0.0980 memory: 32703 grad_norm: 18.8435 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0213 loss: 1.0213 2022/07/31 05:48:26 - mmengine - INFO - Epoch(train) [57][1460/2505] lr: 5.0000e-06 eta: 0:58:29 time: 0.9033 data_time: 0.0312 memory: 32703 grad_norm: 19.3967 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8714 loss: 0.8714 2022/07/31 05:48:47 - mmengine - INFO - Epoch(train) [57][1480/2505] lr: 5.0000e-06 eta: 0:58:10 time: 1.0499 data_time: 0.0262 memory: 32703 grad_norm: 19.5651 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9248 loss: 0.9248 2022/07/31 05:49:06 - mmengine - INFO - Epoch(train) [57][1500/2505] lr: 5.0000e-06 eta: 0:57:50 time: 0.9395 data_time: 0.0480 memory: 32703 grad_norm: 19.1172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8904 loss: 0.8904 2022/07/31 05:49:27 - mmengine - INFO - Epoch(train) [57][1520/2505] lr: 5.0000e-06 eta: 0:57:30 time: 1.0468 data_time: 0.0388 memory: 32703 grad_norm: 19.4440 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0594 loss: 1.0594 2022/07/31 05:49:45 - mmengine - INFO - Epoch(train) [57][1540/2505] lr: 5.0000e-06 eta: 0:57:10 time: 0.8801 data_time: 0.0624 memory: 32703 grad_norm: 18.9067 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1111 loss: 1.1111 2022/07/31 05:50:06 - mmengine - INFO - Epoch(train) [57][1560/2505] lr: 5.0000e-06 eta: 0:56:51 time: 1.0819 data_time: 0.0275 memory: 32703 grad_norm: 18.7801 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 0.8874 loss: 0.8874 2022/07/31 05:50:24 - mmengine - INFO - Epoch(train) [57][1580/2505] lr: 5.0000e-06 eta: 0:56:31 time: 0.8857 data_time: 0.0295 memory: 32703 grad_norm: 18.5015 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9179 loss: 0.9179 2022/07/31 05:50:45 - mmengine - INFO - Epoch(train) [57][1600/2505] lr: 5.0000e-06 eta: 0:56:11 time: 1.0383 data_time: 0.0554 memory: 32703 grad_norm: 19.8952 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8991 loss: 0.8991 2022/07/31 05:51:04 - mmengine - INFO - Epoch(train) [57][1620/2505] lr: 5.0000e-06 eta: 0:55:51 time: 0.9402 data_time: 0.1869 memory: 32703 grad_norm: 18.8139 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9771 loss: 0.9771 2022/07/31 05:51:23 - mmengine - INFO - Epoch(train) [57][1640/2505] lr: 5.0000e-06 eta: 0:55:31 time: 0.9740 data_time: 0.1340 memory: 32703 grad_norm: 19.3170 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9161 loss: 0.9161 2022/07/31 05:51:43 - mmengine - INFO - Epoch(train) [57][1660/2505] lr: 5.0000e-06 eta: 0:55:12 time: 1.0164 data_time: 0.4019 memory: 32703 grad_norm: 19.8384 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8903 loss: 0.8903 2022/07/31 05:52:02 - mmengine - INFO - Epoch(train) [57][1680/2505] lr: 5.0000e-06 eta: 0:54:52 time: 0.9414 data_time: 0.2917 memory: 32703 grad_norm: 19.3085 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8243 loss: 0.8243 2022/07/31 05:52:22 - mmengine - INFO - Epoch(train) [57][1700/2505] lr: 5.0000e-06 eta: 0:54:32 time: 0.9856 data_time: 0.2852 memory: 32703 grad_norm: 19.5524 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9416 loss: 0.9416 2022/07/31 05:52:41 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 05:52:41 - mmengine - INFO - Epoch(train) [57][1720/2505] lr: 5.0000e-06 eta: 0:54:12 time: 0.9713 data_time: 0.1907 memory: 32703 grad_norm: 20.0428 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9912 loss: 0.9912 2022/07/31 05:53:01 - mmengine - INFO - Epoch(train) [57][1740/2505] lr: 5.0000e-06 eta: 0:53:53 time: 0.9671 data_time: 0.1969 memory: 32703 grad_norm: 18.8629 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 0.8901 loss: 0.8901 2022/07/31 05:53:20 - mmengine - INFO - Epoch(train) [57][1760/2505] lr: 5.0000e-06 eta: 0:53:33 time: 0.9484 data_time: 0.2281 memory: 32703 grad_norm: 18.7577 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9341 loss: 0.9341 2022/07/31 05:53:41 - mmengine - INFO - Epoch(train) [57][1780/2505] lr: 5.0000e-06 eta: 0:53:13 time: 1.0722 data_time: 0.4048 memory: 32703 grad_norm: 20.1942 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0295 loss: 1.0295 2022/07/31 05:53:59 - mmengine - INFO - Epoch(train) [57][1800/2505] lr: 5.0000e-06 eta: 0:52:53 time: 0.8969 data_time: 0.2520 memory: 32703 grad_norm: 19.2869 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0213 loss: 1.0213 2022/07/31 05:54:20 - mmengine - INFO - Epoch(train) [57][1820/2505] lr: 5.0000e-06 eta: 0:52:34 time: 1.0503 data_time: 0.3127 memory: 32703 grad_norm: 18.4448 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9182 loss: 0.9182 2022/07/31 05:54:39 - mmengine - INFO - Epoch(train) [57][1840/2505] lr: 5.0000e-06 eta: 0:52:14 time: 0.9416 data_time: 0.1677 memory: 32703 grad_norm: 19.4532 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.0366 loss: 1.0366 2022/07/31 05:55:01 - mmengine - INFO - Epoch(train) [57][1860/2505] lr: 5.0000e-06 eta: 0:51:54 time: 1.0897 data_time: 0.0412 memory: 32703 grad_norm: 19.1124 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9335 loss: 0.9335 2022/07/31 05:55:19 - mmengine - INFO - Epoch(train) [57][1880/2505] lr: 5.0000e-06 eta: 0:51:34 time: 0.8936 data_time: 0.0326 memory: 32703 grad_norm: 18.5783 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8430 loss: 0.8430 2022/07/31 05:55:40 - mmengine - INFO - Epoch(train) [57][1900/2505] lr: 5.0000e-06 eta: 0:51:14 time: 1.0450 data_time: 0.0291 memory: 32703 grad_norm: 19.4897 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9621 loss: 0.9621 2022/07/31 05:55:58 - mmengine - INFO - Epoch(train) [57][1920/2505] lr: 5.0000e-06 eta: 0:50:55 time: 0.9371 data_time: 0.0287 memory: 32703 grad_norm: 19.6239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8288 loss: 0.8288 2022/07/31 05:56:20 - mmengine - INFO - Epoch(train) [57][1940/2505] lr: 5.0000e-06 eta: 0:50:35 time: 1.0777 data_time: 0.0280 memory: 32703 grad_norm: 19.2722 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9698 loss: 0.9698 2022/07/31 05:56:38 - mmengine - INFO - Epoch(train) [57][1960/2505] lr: 5.0000e-06 eta: 0:50:15 time: 0.9093 data_time: 0.0275 memory: 32703 grad_norm: 19.0259 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8826 loss: 0.8826 2022/07/31 05:56:59 - mmengine - INFO - Epoch(train) [57][1980/2505] lr: 5.0000e-06 eta: 0:49:55 time: 1.0397 data_time: 0.0273 memory: 32703 grad_norm: 19.4921 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0642 loss: 1.0642 2022/07/31 05:57:17 - mmengine - INFO - Epoch(train) [57][2000/2505] lr: 5.0000e-06 eta: 0:49:35 time: 0.8845 data_time: 0.0260 memory: 32703 grad_norm: 19.5633 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1284 loss: 1.1284 2022/07/31 05:57:37 - mmengine - INFO - Epoch(train) [57][2020/2505] lr: 5.0000e-06 eta: 0:49:16 time: 1.0021 data_time: 0.0275 memory: 32703 grad_norm: 18.7712 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8180 loss: 0.8180 2022/07/31 05:57:56 - mmengine - INFO - Epoch(train) [57][2040/2505] lr: 5.0000e-06 eta: 0:48:56 time: 0.9822 data_time: 0.0329 memory: 32703 grad_norm: 19.1631 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8503 loss: 0.8503 2022/07/31 05:58:15 - mmengine - INFO - Epoch(train) [57][2060/2505] lr: 5.0000e-06 eta: 0:48:36 time: 0.9567 data_time: 0.0339 memory: 32703 grad_norm: 18.3010 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9024 loss: 0.9024 2022/07/31 05:58:37 - mmengine - INFO - Epoch(train) [57][2080/2505] lr: 5.0000e-06 eta: 0:48:16 time: 1.0517 data_time: 0.0285 memory: 32703 grad_norm: 18.8445 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8562 loss: 0.8562 2022/07/31 05:58:54 - mmengine - INFO - Epoch(train) [57][2100/2505] lr: 5.0000e-06 eta: 0:47:57 time: 0.9015 data_time: 0.0322 memory: 32703 grad_norm: 18.8392 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9771 loss: 0.9771 2022/07/31 05:59:16 - mmengine - INFO - Epoch(train) [57][2120/2505] lr: 5.0000e-06 eta: 0:47:37 time: 1.0650 data_time: 0.0282 memory: 32703 grad_norm: 19.6899 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8823 loss: 0.8823 2022/07/31 05:59:34 - mmengine - INFO - Epoch(train) [57][2140/2505] lr: 5.0000e-06 eta: 0:47:17 time: 0.9098 data_time: 0.0275 memory: 32703 grad_norm: 19.6966 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1220 loss: 1.1220 2022/07/31 05:59:55 - mmengine - INFO - Epoch(train) [57][2160/2505] lr: 5.0000e-06 eta: 0:46:57 time: 1.0226 data_time: 0.0292 memory: 32703 grad_norm: 18.3519 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0711 loss: 1.0711 2022/07/31 06:00:16 - mmengine - INFO - Epoch(train) [57][2180/2505] lr: 5.0000e-06 eta: 0:46:38 time: 1.0458 data_time: 0.0377 memory: 32703 grad_norm: 20.3630 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0673 loss: 1.0673 2022/07/31 06:00:36 - mmengine - INFO - Epoch(train) [57][2200/2505] lr: 5.0000e-06 eta: 0:46:18 time: 1.0312 data_time: 0.0365 memory: 32703 grad_norm: 18.7708 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.7911 loss: 0.7911 2022/07/31 06:00:56 - mmengine - INFO - Epoch(train) [57][2220/2505] lr: 5.0000e-06 eta: 0:45:58 time: 0.9885 data_time: 0.0272 memory: 32703 grad_norm: 18.5294 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8298 loss: 0.8298 2022/07/31 06:01:16 - mmengine - INFO - Epoch(train) [57][2240/2505] lr: 5.0000e-06 eta: 0:45:38 time: 1.0167 data_time: 0.0280 memory: 32703 grad_norm: 18.6781 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7958 loss: 0.7958 2022/07/31 06:01:34 - mmengine - INFO - Epoch(train) [57][2260/2505] lr: 5.0000e-06 eta: 0:45:18 time: 0.9052 data_time: 0.0318 memory: 32703 grad_norm: 18.3663 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8786 loss: 0.8786 2022/07/31 06:01:56 - mmengine - INFO - Epoch(train) [57][2280/2505] lr: 5.0000e-06 eta: 0:44:59 time: 1.1039 data_time: 0.0293 memory: 32703 grad_norm: 18.8215 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8136 loss: 0.8136 2022/07/31 06:02:15 - mmengine - INFO - Epoch(train) [57][2300/2505] lr: 5.0000e-06 eta: 0:44:39 time: 0.9355 data_time: 0.0276 memory: 32703 grad_norm: 19.7374 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9953 loss: 0.9953 2022/07/31 06:02:36 - mmengine - INFO - Epoch(train) [57][2320/2505] lr: 5.0000e-06 eta: 0:44:19 time: 1.0410 data_time: 0.0322 memory: 32703 grad_norm: 18.8496 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9223 loss: 0.9223 2022/07/31 06:02:54 - mmengine - INFO - Epoch(train) [57][2340/2505] lr: 5.0000e-06 eta: 0:43:59 time: 0.9038 data_time: 0.0274 memory: 32703 grad_norm: 19.6850 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.6678 loss: 0.6678 2022/07/31 06:03:15 - mmengine - INFO - Epoch(train) [57][2360/2505] lr: 5.0000e-06 eta: 0:43:40 time: 1.0257 data_time: 0.0280 memory: 32703 grad_norm: 19.8218 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0589 loss: 1.0589 2022/07/31 06:03:33 - mmengine - INFO - Epoch(train) [57][2380/2505] lr: 5.0000e-06 eta: 0:43:20 time: 0.9019 data_time: 0.0276 memory: 32703 grad_norm: 18.8415 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9096 loss: 0.9096 2022/07/31 06:03:53 - mmengine - INFO - Epoch(train) [57][2400/2505] lr: 5.0000e-06 eta: 0:43:00 time: 1.0456 data_time: 0.0311 memory: 32703 grad_norm: 19.2097 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0775 loss: 1.0775 2022/07/31 06:04:13 - mmengine - INFO - Epoch(train) [57][2420/2505] lr: 5.0000e-06 eta: 0:42:40 time: 0.9536 data_time: 0.0269 memory: 32703 grad_norm: 19.1148 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0061 loss: 1.0061 2022/07/31 06:04:33 - mmengine - INFO - Epoch(train) [57][2440/2505] lr: 5.0000e-06 eta: 0:42:20 time: 1.0418 data_time: 0.0307 memory: 32703 grad_norm: 19.0871 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9523 loss: 0.9523 2022/07/31 06:04:53 - mmengine - INFO - Epoch(train) [57][2460/2505] lr: 5.0000e-06 eta: 0:42:01 time: 0.9922 data_time: 0.0284 memory: 32703 grad_norm: 19.2137 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2196 loss: 1.2196 2022/07/31 06:05:13 - mmengine - INFO - Epoch(train) [57][2480/2505] lr: 5.0000e-06 eta: 0:41:41 time: 0.9852 data_time: 0.0280 memory: 32703 grad_norm: 18.5045 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8225 loss: 0.8225 2022/07/31 06:05:30 - mmengine - INFO - Epoch(train) [57][2500/2505] lr: 5.0000e-06 eta: 0:41:21 time: 0.8378 data_time: 0.0335 memory: 32703 grad_norm: 19.4997 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9415 loss: 0.9415 2022/07/31 06:05:32 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 06:05:32 - mmengine - INFO - Epoch(train) [57][2505/2505] lr: 5.0000e-06 eta: 0:41:21 time: 0.7231 data_time: 0.0244 memory: 32703 grad_norm: 19.2925 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8821 loss: 0.8821 2022/07/31 06:05:35 - mmengine - INFO - Epoch(val) [57][20/2475] eta: 0:04:39 time: 0.1137 data_time: 0.0808 memory: 817 2022/07/31 06:05:36 - mmengine - INFO - Epoch(val) [57][40/2475] eta: 0:03:00 time: 0.0743 data_time: 0.0422 memory: 817 2022/07/31 06:05:38 - mmengine - INFO - Epoch(val) [57][60/2475] eta: 0:04:11 time: 0.1040 data_time: 0.0738 memory: 817 2022/07/31 06:05:40 - mmengine - INFO - Epoch(val) [57][80/2475] eta: 0:02:48 time: 0.0704 data_time: 0.0397 memory: 817 2022/07/31 06:05:42 - mmengine - INFO - Epoch(val) [57][100/2475] eta: 0:03:51 time: 0.0974 data_time: 0.0662 memory: 817 2022/07/31 06:05:43 - mmengine - INFO - Epoch(val) [57][120/2475] eta: 0:02:32 time: 0.0647 data_time: 0.0334 memory: 817 2022/07/31 06:05:45 - mmengine - INFO - Epoch(val) [57][140/2475] eta: 0:03:14 time: 0.0832 data_time: 0.0509 memory: 817 2022/07/31 06:05:47 - mmengine - INFO - Epoch(val) [57][160/2475] eta: 0:03:33 time: 0.0920 data_time: 0.0609 memory: 817 2022/07/31 06:05:48 - mmengine - INFO - Epoch(val) [57][180/2475] eta: 0:03:09 time: 0.0828 data_time: 0.0518 memory: 817 2022/07/31 06:05:49 - mmengine - INFO - Epoch(val) [57][200/2475] eta: 0:02:18 time: 0.0608 data_time: 0.0191 memory: 817 2022/07/31 06:05:51 - mmengine - INFO - Epoch(val) [57][220/2475] eta: 0:03:30 time: 0.0931 data_time: 0.0613 memory: 817 2022/07/31 06:05:53 - mmengine - INFO - Epoch(val) [57][240/2475] eta: 0:02:39 time: 0.0712 data_time: 0.0391 memory: 817 2022/07/31 06:05:54 - mmengine - INFO - Epoch(val) [57][260/2475] eta: 0:02:49 time: 0.0765 data_time: 0.0448 memory: 817 2022/07/31 06:05:56 - mmengine - INFO - Epoch(val) [57][280/2475] eta: 0:02:38 time: 0.0723 data_time: 0.0401 memory: 817 2022/07/31 06:05:57 - mmengine - INFO - Epoch(val) [57][300/2475] eta: 0:03:12 time: 0.0883 data_time: 0.0571 memory: 817 2022/07/31 06:05:59 - mmengine - INFO - Epoch(val) [57][320/2475] eta: 0:02:47 time: 0.0777 data_time: 0.0448 memory: 817 2022/07/31 06:06:01 - mmengine - INFO - Epoch(val) [57][340/2475] eta: 0:02:49 time: 0.0796 data_time: 0.0480 memory: 817 2022/07/31 06:06:02 - mmengine - INFO - Epoch(val) [57][360/2475] eta: 0:02:29 time: 0.0706 data_time: 0.0385 memory: 817 2022/07/31 06:06:04 - mmengine - INFO - Epoch(val) [57][380/2475] eta: 0:02:46 time: 0.0795 data_time: 0.0485 memory: 817 2022/07/31 06:06:05 - mmengine - INFO - Epoch(val) [57][400/2475] eta: 0:02:59 time: 0.0864 data_time: 0.0545 memory: 817 2022/07/31 06:06:07 - mmengine - INFO - Epoch(val) [57][420/2475] eta: 0:02:43 time: 0.0794 data_time: 0.0466 memory: 817 2022/07/31 06:06:09 - mmengine - INFO - Epoch(val) [57][440/2475] eta: 0:03:01 time: 0.0890 data_time: 0.0565 memory: 817 2022/07/31 06:06:10 - mmengine - INFO - Epoch(val) [57][460/2475] eta: 0:01:57 time: 0.0585 data_time: 0.0270 memory: 817 2022/07/31 06:06:12 - mmengine - INFO - Epoch(val) [57][480/2475] eta: 0:03:02 time: 0.0917 data_time: 0.0602 memory: 817 2022/07/31 06:06:14 - mmengine - INFO - Epoch(val) [57][500/2475] eta: 0:02:53 time: 0.0877 data_time: 0.0558 memory: 817 2022/07/31 06:06:15 - mmengine - INFO - Epoch(val) [57][520/2475] eta: 0:02:03 time: 0.0631 data_time: 0.0309 memory: 817 2022/07/31 06:06:17 - mmengine - INFO - Epoch(val) [57][540/2475] eta: 0:03:09 time: 0.0978 data_time: 0.0667 memory: 817 2022/07/31 06:06:18 - mmengine - INFO - Epoch(val) [57][560/2475] eta: 0:02:15 time: 0.0708 data_time: 0.0394 memory: 817 2022/07/31 06:06:20 - mmengine - INFO - Epoch(val) [57][580/2475] eta: 0:02:36 time: 0.0828 data_time: 0.0514 memory: 817 2022/07/31 06:06:21 - mmengine - INFO - Epoch(val) [57][600/2475] eta: 0:02:20 time: 0.0747 data_time: 0.0445 memory: 817 2022/07/31 06:06:23 - mmengine - INFO - Epoch(val) [57][620/2475] eta: 0:02:26 time: 0.0787 data_time: 0.0470 memory: 817 2022/07/31 06:06:25 - mmengine - INFO - Epoch(val) [57][640/2475] eta: 0:02:39 time: 0.0867 data_time: 0.0550 memory: 817 2022/07/31 06:06:27 - mmengine - INFO - Epoch(val) [57][660/2475] eta: 0:03:11 time: 0.1055 data_time: 0.0732 memory: 817 2022/07/31 06:06:28 - mmengine - INFO - Epoch(val) [57][680/2475] eta: 0:01:55 time: 0.0645 data_time: 0.0307 memory: 817 2022/07/31 06:06:30 - mmengine - INFO - Epoch(val) [57][700/2475] eta: 0:02:20 time: 0.0790 data_time: 0.0328 memory: 817 2022/07/31 06:06:31 - mmengine - INFO - Epoch(val) [57][720/2475] eta: 0:02:15 time: 0.0775 data_time: 0.0466 memory: 817 2022/07/31 06:06:33 - mmengine - INFO - Epoch(val) [57][740/2475] eta: 0:02:28 time: 0.0857 data_time: 0.0541 memory: 817 2022/07/31 06:06:34 - mmengine - INFO - Epoch(val) [57][760/2475] eta: 0:01:51 time: 0.0653 data_time: 0.0329 memory: 817 2022/07/31 06:06:36 - mmengine - INFO - Epoch(val) [57][780/2475] eta: 0:02:16 time: 0.0807 data_time: 0.0475 memory: 817 2022/07/31 06:06:37 - mmengine - INFO - Epoch(val) [57][800/2475] eta: 0:02:02 time: 0.0733 data_time: 0.0395 memory: 817 2022/07/31 06:06:39 - mmengine - INFO - Epoch(val) [57][820/2475] eta: 0:02:27 time: 0.0893 data_time: 0.0540 memory: 817 2022/07/31 06:06:41 - mmengine - INFO - Epoch(val) [57][840/2475] eta: 0:02:04 time: 0.0760 data_time: 0.0418 memory: 817 2022/07/31 06:06:42 - mmengine - INFO - Epoch(val) [57][860/2475] eta: 0:02:23 time: 0.0891 data_time: 0.0562 memory: 817 2022/07/31 06:06:44 - mmengine - INFO - Epoch(val) [57][880/2475] eta: 0:02:00 time: 0.0757 data_time: 0.0429 memory: 817 2022/07/31 06:06:46 - mmengine - INFO - Epoch(val) [57][900/2475] eta: 0:02:33 time: 0.0974 data_time: 0.0664 memory: 817 2022/07/31 06:06:47 - mmengine - INFO - Epoch(val) [57][920/2475] eta: 0:01:51 time: 0.0714 data_time: 0.0355 memory: 817 2022/07/31 06:06:49 - mmengine - INFO - Epoch(val) [57][940/2475] eta: 0:02:06 time: 0.0823 data_time: 0.0416 memory: 817 2022/07/31 06:06:50 - mmengine - INFO - Epoch(val) [57][960/2475] eta: 0:01:49 time: 0.0724 data_time: 0.0396 memory: 817 2022/07/31 06:06:52 - mmengine - INFO - Epoch(val) [57][980/2475] eta: 0:02:08 time: 0.0859 data_time: 0.0535 memory: 817 2022/07/31 06:06:54 - mmengine - INFO - Epoch(val) [57][1000/2475] eta: 0:01:53 time: 0.0767 data_time: 0.0449 memory: 817 2022/07/31 06:06:55 - mmengine - INFO - Epoch(val) [57][1020/2475] eta: 0:02:05 time: 0.0860 data_time: 0.0546 memory: 817 2022/07/31 06:06:57 - mmengine - INFO - Epoch(val) [57][1040/2475] eta: 0:02:05 time: 0.0873 data_time: 0.0568 memory: 817 2022/07/31 06:06:59 - mmengine - INFO - Epoch(val) [57][1060/2475] eta: 0:02:02 time: 0.0864 data_time: 0.0551 memory: 817 2022/07/31 06:07:00 - mmengine - INFO - Epoch(val) [57][1080/2475] eta: 0:01:43 time: 0.0745 data_time: 0.0435 memory: 817 2022/07/31 06:07:02 - mmengine - INFO - Epoch(val) [57][1100/2475] eta: 0:01:55 time: 0.0841 data_time: 0.0527 memory: 817 2022/07/31 06:07:03 - mmengine - INFO - Epoch(val) [57][1120/2475] eta: 0:01:32 time: 0.0683 data_time: 0.0360 memory: 817 2022/07/31 06:07:05 - mmengine - INFO - Epoch(val) [57][1140/2475] eta: 0:01:36 time: 0.0726 data_time: 0.0396 memory: 817 2022/07/31 06:07:06 - mmengine - INFO - Epoch(val) [57][1160/2475] eta: 0:01:32 time: 0.0703 data_time: 0.0394 memory: 817 2022/07/31 06:07:08 - mmengine - INFO - Epoch(val) [57][1180/2475] eta: 0:02:07 time: 0.0986 data_time: 0.0678 memory: 817 2022/07/31 06:07:10 - mmengine - INFO - Epoch(val) [57][1200/2475] eta: 0:01:44 time: 0.0816 data_time: 0.0496 memory: 817 2022/07/31 06:07:11 - mmengine - INFO - Epoch(val) [57][1220/2475] eta: 0:01:31 time: 0.0730 data_time: 0.0415 memory: 817 2022/07/31 06:07:13 - mmengine - INFO - Epoch(val) [57][1240/2475] eta: 0:01:48 time: 0.0880 data_time: 0.0558 memory: 817 2022/07/31 06:07:15 - mmengine - INFO - Epoch(val) [57][1260/2475] eta: 0:01:31 time: 0.0755 data_time: 0.0441 memory: 817 2022/07/31 06:07:17 - mmengine - INFO - Epoch(val) [57][1280/2475] eta: 0:01:57 time: 0.0986 data_time: 0.0671 memory: 817 2022/07/31 06:07:18 - mmengine - INFO - Epoch(val) [57][1300/2475] eta: 0:01:35 time: 0.0810 data_time: 0.0498 memory: 817 2022/07/31 06:07:20 - mmengine - INFO - Epoch(val) [57][1320/2475] eta: 0:01:49 time: 0.0947 data_time: 0.0624 memory: 817 2022/07/31 06:07:22 - mmengine - INFO - Epoch(val) [57][1340/2475] eta: 0:01:18 time: 0.0690 data_time: 0.0379 memory: 817 2022/07/31 06:07:23 - mmengine - INFO - Epoch(val) [57][1360/2475] eta: 0:01:43 time: 0.0928 data_time: 0.0588 memory: 817 2022/07/31 06:07:25 - mmengine - INFO - Epoch(val) [57][1380/2475] eta: 0:01:13 time: 0.0668 data_time: 0.0360 memory: 817 2022/07/31 06:07:27 - mmengine - INFO - Epoch(val) [57][1400/2475] eta: 0:01:38 time: 0.0920 data_time: 0.0614 memory: 817 2022/07/31 06:07:28 - mmengine - INFO - Epoch(val) [57][1420/2475] eta: 0:01:11 time: 0.0682 data_time: 0.0356 memory: 817 2022/07/31 06:07:30 - mmengine - INFO - Epoch(val) [57][1440/2475] eta: 0:01:33 time: 0.0903 data_time: 0.0577 memory: 817 2022/07/31 06:07:31 - mmengine - INFO - Epoch(val) [57][1460/2475] eta: 0:01:18 time: 0.0770 data_time: 0.0450 memory: 817 2022/07/31 06:07:33 - mmengine - INFO - Epoch(val) [57][1480/2475] eta: 0:01:09 time: 0.0698 data_time: 0.0377 memory: 817 2022/07/31 06:07:34 - mmengine - INFO - Epoch(val) [57][1500/2475] eta: 0:01:16 time: 0.0788 data_time: 0.0474 memory: 817 2022/07/31 06:07:36 - mmengine - INFO - Epoch(val) [57][1520/2475] eta: 0:01:17 time: 0.0815 data_time: 0.0492 memory: 817 2022/07/31 06:07:38 - mmengine - INFO - Epoch(val) [57][1540/2475] eta: 0:01:17 time: 0.0826 data_time: 0.0504 memory: 817 2022/07/31 06:07:39 - mmengine - INFO - Epoch(val) [57][1560/2475] eta: 0:01:19 time: 0.0864 data_time: 0.0536 memory: 817 2022/07/31 06:07:41 - mmengine - INFO - Epoch(val) [57][1580/2475] eta: 0:01:05 time: 0.0734 data_time: 0.0432 memory: 817 2022/07/31 06:07:42 - mmengine - INFO - Epoch(val) [57][1600/2475] eta: 0:01:11 time: 0.0813 data_time: 0.0494 memory: 817 2022/07/31 06:07:44 - mmengine - INFO - Epoch(val) [57][1620/2475] eta: 0:01:13 time: 0.0864 data_time: 0.0554 memory: 817 2022/07/31 06:07:46 - mmengine - INFO - Epoch(val) [57][1640/2475] eta: 0:01:07 time: 0.0811 data_time: 0.0485 memory: 817 2022/07/31 06:07:47 - mmengine - INFO - Epoch(val) [57][1660/2475] eta: 0:01:04 time: 0.0787 data_time: 0.0476 memory: 817 2022/07/31 06:07:49 - mmengine - INFO - Epoch(val) [57][1680/2475] eta: 0:01:06 time: 0.0838 data_time: 0.0456 memory: 817 2022/07/31 06:07:51 - mmengine - INFO - Epoch(val) [57][1700/2475] eta: 0:00:59 time: 0.0768 data_time: 0.0454 memory: 817 2022/07/31 06:07:52 - mmengine - INFO - Epoch(val) [57][1720/2475] eta: 0:01:09 time: 0.0918 data_time: 0.0607 memory: 817 2022/07/31 06:07:54 - mmengine - INFO - Epoch(val) [57][1740/2475] eta: 0:00:50 time: 0.0682 data_time: 0.0377 memory: 817 2022/07/31 06:07:56 - mmengine - INFO - Epoch(val) [57][1760/2475] eta: 0:01:11 time: 0.1001 data_time: 0.0673 memory: 817 2022/07/31 06:07:57 - mmengine - INFO - Epoch(val) [57][1780/2475] eta: 0:00:53 time: 0.0765 data_time: 0.0440 memory: 817 2022/07/31 06:07:59 - mmengine - INFO - Epoch(val) [57][1800/2475] eta: 0:01:02 time: 0.0926 data_time: 0.0599 memory: 817 2022/07/31 06:08:01 - mmengine - INFO - Epoch(val) [57][1820/2475] eta: 0:00:54 time: 0.0829 data_time: 0.0496 memory: 817 2022/07/31 06:08:03 - mmengine - INFO - Epoch(val) [57][1840/2475] eta: 0:00:52 time: 0.0834 data_time: 0.0519 memory: 817 2022/07/31 06:08:04 - mmengine - INFO - Epoch(val) [57][1860/2475] eta: 0:00:44 time: 0.0727 data_time: 0.0379 memory: 817 2022/07/31 06:08:06 - mmengine - INFO - Epoch(val) [57][1880/2475] eta: 0:00:55 time: 0.0928 data_time: 0.0624 memory: 817 2022/07/31 06:08:07 - mmengine - INFO - Epoch(val) [57][1900/2475] eta: 0:00:42 time: 0.0742 data_time: 0.0429 memory: 817 2022/07/31 06:08:09 - mmengine - INFO - Epoch(val) [57][1920/2475] eta: 0:00:48 time: 0.0868 data_time: 0.0429 memory: 817 2022/07/31 06:08:10 - mmengine - INFO - Epoch(val) [57][1940/2475] eta: 0:00:31 time: 0.0585 data_time: 0.0220 memory: 817 2022/07/31 06:08:12 - mmengine - INFO - Epoch(val) [57][1960/2475] eta: 0:00:44 time: 0.0860 data_time: 0.0546 memory: 817 2022/07/31 06:08:13 - mmengine - INFO - Epoch(val) [57][1980/2475] eta: 0:00:33 time: 0.0672 data_time: 0.0365 memory: 817 2022/07/31 06:08:15 - mmengine - INFO - Epoch(val) [57][2000/2475] eta: 0:00:40 time: 0.0848 data_time: 0.0524 memory: 817 2022/07/31 06:08:16 - mmengine - INFO - Epoch(val) [57][2020/2475] eta: 0:00:30 time: 0.0676 data_time: 0.0344 memory: 817 2022/07/31 06:08:18 - mmengine - INFO - Epoch(val) [57][2040/2475] eta: 0:00:39 time: 0.0910 data_time: 0.0600 memory: 817 2022/07/31 06:08:20 - mmengine - INFO - Epoch(val) [57][2060/2475] eta: 0:00:29 time: 0.0717 data_time: 0.0405 memory: 817 2022/07/31 06:08:22 - mmengine - INFO - Epoch(val) [57][2080/2475] eta: 0:00:36 time: 0.0917 data_time: 0.0610 memory: 817 2022/07/31 06:08:23 - mmengine - INFO - Epoch(val) [57][2100/2475] eta: 0:00:24 time: 0.0653 data_time: 0.0346 memory: 817 2022/07/31 06:08:25 - mmengine - INFO - Epoch(val) [57][2120/2475] eta: 0:00:31 time: 0.0896 data_time: 0.0572 memory: 817 2022/07/31 06:08:26 - mmengine - INFO - Epoch(val) [57][2140/2475] eta: 0:00:24 time: 0.0727 data_time: 0.0416 memory: 817 2022/07/31 06:08:28 - mmengine - INFO - Epoch(val) [57][2160/2475] eta: 0:00:27 time: 0.0859 data_time: 0.0561 memory: 817 2022/07/31 06:08:29 - mmengine - INFO - Epoch(val) [57][2180/2475] eta: 0:00:22 time: 0.0748 data_time: 0.0444 memory: 817 2022/07/31 06:08:31 - mmengine - INFO - Epoch(val) [57][2200/2475] eta: 0:00:23 time: 0.0865 data_time: 0.0549 memory: 817 2022/07/31 06:08:33 - mmengine - INFO - Epoch(val) [57][2220/2475] eta: 0:00:18 time: 0.0742 data_time: 0.0426 memory: 817 2022/07/31 06:08:34 - mmengine - INFO - Epoch(val) [57][2240/2475] eta: 0:00:22 time: 0.0951 data_time: 0.0628 memory: 817 2022/07/31 06:08:36 - mmengine - INFO - Epoch(val) [57][2260/2475] eta: 0:00:15 time: 0.0733 data_time: 0.0404 memory: 817 2022/07/31 06:08:38 - mmengine - INFO - Epoch(val) [57][2280/2475] eta: 0:00:17 time: 0.0891 data_time: 0.0567 memory: 817 2022/07/31 06:08:39 - mmengine - INFO - Epoch(val) [57][2300/2475] eta: 0:00:14 time: 0.0810 data_time: 0.0497 memory: 817 2022/07/31 06:08:41 - mmengine - INFO - Epoch(val) [57][2320/2475] eta: 0:00:14 time: 0.0941 data_time: 0.0620 memory: 817 2022/07/31 06:08:43 - mmengine - INFO - Epoch(val) [57][2340/2475] eta: 0:00:08 time: 0.0661 data_time: 0.0336 memory: 817 2022/07/31 06:08:44 - mmengine - INFO - Epoch(val) [57][2360/2475] eta: 0:00:09 time: 0.0826 data_time: 0.0517 memory: 817 2022/07/31 06:08:46 - mmengine - INFO - Epoch(val) [57][2380/2475] eta: 0:00:07 time: 0.0802 data_time: 0.0475 memory: 817 2022/07/31 06:08:47 - mmengine - INFO - Epoch(val) [57][2400/2475] eta: 0:00:06 time: 0.0816 data_time: 0.0504 memory: 817 2022/07/31 06:08:49 - mmengine - INFO - Epoch(val) [57][2420/2475] eta: 0:00:04 time: 0.0837 data_time: 0.0374 memory: 817 2022/07/31 06:08:51 - mmengine - INFO - Epoch(val) [57][2440/2475] eta: 0:00:02 time: 0.0761 data_time: 0.0408 memory: 817 2022/07/31 06:08:52 - mmengine - INFO - Epoch(val) [57][2460/2475] eta: 0:00:01 time: 0.0777 data_time: 0.0481 memory: 817 2022/07/31 06:08:56 - mmengine - INFO - Epoch(val) [57][2475/2475] acc/top1: 0.7656 acc/top5: 0.9228 acc/mean1: 0.7655 2022/07/31 06:08:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_55.pth is removed 2022/07/31 06:09:00 - mmengine - INFO - The best checkpoint with 0.7656 acc/top1 at 58 epoch is saved to best_acc/top1_epoch_58.pth. 2022/07/31 06:09:25 - mmengine - INFO - Epoch(train) [58][20/2505] lr: 5.0000e-06 eta: 0:40:56 time: 1.2662 data_time: 0.6730 memory: 32703 grad_norm: 18.6403 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7600 loss: 0.7600 2022/07/31 06:09:43 - mmengine - INFO - Epoch(train) [58][40/2505] lr: 5.0000e-06 eta: 0:40:37 time: 0.9215 data_time: 0.3449 memory: 32703 grad_norm: 19.9310 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.0572 loss: 1.0572 2022/07/31 06:10:05 - mmengine - INFO - Epoch(train) [58][60/2505] lr: 5.0000e-06 eta: 0:40:17 time: 1.0670 data_time: 0.4813 memory: 32703 grad_norm: 18.0595 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9313 loss: 0.9313 2022/07/31 06:10:23 - mmengine - INFO - Epoch(train) [58][80/2505] lr: 5.0000e-06 eta: 0:39:57 time: 0.9183 data_time: 0.3267 memory: 32703 grad_norm: 19.3957 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7873 loss: 0.7873 2022/07/31 06:10:44 - mmengine - INFO - Epoch(train) [58][100/2505] lr: 5.0000e-06 eta: 0:39:37 time: 1.0642 data_time: 0.4895 memory: 32703 grad_norm: 18.9103 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0080 loss: 1.0080 2022/07/31 06:11:03 - mmengine - INFO - Epoch(train) [58][120/2505] lr: 5.0000e-06 eta: 0:39:18 time: 0.9088 data_time: 0.3186 memory: 32703 grad_norm: 18.6409 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0302 loss: 1.0302 2022/07/31 06:11:24 - mmengine - INFO - Epoch(train) [58][140/2505] lr: 5.0000e-06 eta: 0:38:58 time: 1.0710 data_time: 0.4788 memory: 32703 grad_norm: 18.3060 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8859 loss: 0.8859 2022/07/31 06:11:42 - mmengine - INFO - Epoch(train) [58][160/2505] lr: 5.0000e-06 eta: 0:38:38 time: 0.8955 data_time: 0.3231 memory: 32703 grad_norm: 19.0428 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9420 loss: 0.9420 2022/07/31 06:12:03 - mmengine - INFO - Epoch(train) [58][180/2505] lr: 5.0000e-06 eta: 0:38:18 time: 1.0409 data_time: 0.4692 memory: 32703 grad_norm: 19.2253 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0966 loss: 1.0966 2022/07/31 06:12:22 - mmengine - INFO - Epoch(train) [58][200/2505] lr: 5.0000e-06 eta: 0:37:58 time: 0.9400 data_time: 0.3671 memory: 32703 grad_norm: 18.8991 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9620 loss: 0.9620 2022/07/31 06:12:37 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 06:12:43 - mmengine - INFO - Epoch(train) [58][220/2505] lr: 5.0000e-06 eta: 0:37:39 time: 1.0556 data_time: 0.4806 memory: 32703 grad_norm: 19.5724 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1613 loss: 1.1613 2022/07/31 06:13:01 - mmengine - INFO - Epoch(train) [58][240/2505] lr: 5.0000e-06 eta: 0:37:19 time: 0.8998 data_time: 0.3174 memory: 32703 grad_norm: 19.7212 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9220 loss: 0.9220 2022/07/31 06:13:22 - mmengine - INFO - Epoch(train) [58][260/2505] lr: 5.0000e-06 eta: 0:36:59 time: 1.0505 data_time: 0.4605 memory: 32703 grad_norm: 19.4773 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1808 loss: 1.1808 2022/07/31 06:13:40 - mmengine - INFO - Epoch(train) [58][280/2505] lr: 5.0000e-06 eta: 0:36:39 time: 0.9006 data_time: 0.3017 memory: 32703 grad_norm: 19.6004 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9527 loss: 0.9527 2022/07/31 06:14:01 - mmengine - INFO - Epoch(train) [58][300/2505] lr: 5.0000e-06 eta: 0:36:20 time: 1.0482 data_time: 0.4785 memory: 32703 grad_norm: 19.6544 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9779 loss: 0.9779 2022/07/31 06:14:20 - mmengine - INFO - Epoch(train) [58][320/2505] lr: 5.0000e-06 eta: 0:36:00 time: 0.9382 data_time: 0.3535 memory: 32703 grad_norm: 19.1509 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9582 loss: 0.9582 2022/07/31 06:14:40 - mmengine - INFO - Epoch(train) [58][340/2505] lr: 5.0000e-06 eta: 0:35:40 time: 1.0340 data_time: 0.4371 memory: 32703 grad_norm: 19.5592 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8922 loss: 0.8922 2022/07/31 06:15:00 - mmengine - INFO - Epoch(train) [58][360/2505] lr: 5.0000e-06 eta: 0:35:20 time: 0.9763 data_time: 0.3747 memory: 32703 grad_norm: 19.7622 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1066 loss: 1.1066 2022/07/31 06:15:20 - mmengine - INFO - Epoch(train) [58][380/2505] lr: 5.0000e-06 eta: 0:35:00 time: 1.0225 data_time: 0.4258 memory: 32703 grad_norm: 18.8938 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8501 loss: 0.8501 2022/07/31 06:15:41 - mmengine - INFO - Epoch(train) [58][400/2505] lr: 5.0000e-06 eta: 0:34:41 time: 1.0183 data_time: 0.4274 memory: 32703 grad_norm: 19.1347 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2115 loss: 1.2115 2022/07/31 06:16:00 - mmengine - INFO - Epoch(train) [58][420/2505] lr: 5.0000e-06 eta: 0:34:21 time: 0.9466 data_time: 0.3502 memory: 32703 grad_norm: 20.0138 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9567 loss: 0.9567 2022/07/31 06:16:20 - mmengine - INFO - Epoch(train) [58][440/2505] lr: 5.0000e-06 eta: 0:34:01 time: 1.0017 data_time: 0.3991 memory: 32703 grad_norm: 18.2149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8137 loss: 0.8137 2022/07/31 06:16:40 - mmengine - INFO - Epoch(train) [58][460/2505] lr: 5.0000e-06 eta: 0:33:41 time: 1.0071 data_time: 0.4089 memory: 32703 grad_norm: 19.2525 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1186 loss: 1.1186 2022/07/31 06:16:59 - mmengine - INFO - Epoch(train) [58][480/2505] lr: 5.0000e-06 eta: 0:33:22 time: 0.9807 data_time: 0.3875 memory: 32703 grad_norm: 19.3199 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 0.9546 loss: 0.9546 2022/07/31 06:17:19 - mmengine - INFO - Epoch(train) [58][500/2505] lr: 5.0000e-06 eta: 0:33:02 time: 0.9935 data_time: 0.3843 memory: 32703 grad_norm: 19.3490 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9799 loss: 0.9799 2022/07/31 06:17:39 - mmengine - INFO - Epoch(train) [58][520/2505] lr: 5.0000e-06 eta: 0:32:42 time: 0.9745 data_time: 0.4036 memory: 32703 grad_norm: 18.9914 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8595 loss: 0.8595 2022/07/31 06:17:59 - mmengine - INFO - Epoch(train) [58][540/2505] lr: 5.0000e-06 eta: 0:32:22 time: 1.0346 data_time: 0.4509 memory: 32703 grad_norm: 19.0781 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8162 loss: 0.8162 2022/07/31 06:18:18 - mmengine - INFO - Epoch(train) [58][560/2505] lr: 5.0000e-06 eta: 0:32:02 time: 0.9060 data_time: 0.3273 memory: 32703 grad_norm: 18.7858 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0032 loss: 1.0032 2022/07/31 06:18:39 - mmengine - INFO - Epoch(train) [58][580/2505] lr: 5.0000e-06 eta: 0:31:43 time: 1.0677 data_time: 0.4722 memory: 32703 grad_norm: 19.1883 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1517 loss: 1.1517 2022/07/31 06:18:57 - mmengine - INFO - Epoch(train) [58][600/2505] lr: 5.0000e-06 eta: 0:31:23 time: 0.9041 data_time: 0.3122 memory: 32703 grad_norm: 19.2999 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2297 loss: 1.2297 2022/07/31 06:19:18 - mmengine - INFO - Epoch(train) [58][620/2505] lr: 5.0000e-06 eta: 0:31:03 time: 1.0409 data_time: 0.4475 memory: 32703 grad_norm: 18.6829 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8063 loss: 0.8063 2022/07/31 06:19:37 - mmengine - INFO - Epoch(train) [58][640/2505] lr: 5.0000e-06 eta: 0:30:43 time: 0.9445 data_time: 0.3516 memory: 32703 grad_norm: 19.4113 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0480 loss: 1.0480 2022/07/31 06:19:57 - mmengine - INFO - Epoch(train) [58][660/2505] lr: 5.0000e-06 eta: 0:30:24 time: 1.0348 data_time: 0.4574 memory: 32703 grad_norm: 19.0387 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9120 loss: 0.9120 2022/07/31 06:20:16 - mmengine - INFO - Epoch(train) [58][680/2505] lr: 5.0000e-06 eta: 0:30:04 time: 0.9293 data_time: 0.3346 memory: 32703 grad_norm: 19.5795 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8059 loss: 0.8059 2022/07/31 06:20:37 - mmengine - INFO - Epoch(train) [58][700/2505] lr: 5.0000e-06 eta: 0:29:44 time: 1.0354 data_time: 0.4486 memory: 32703 grad_norm: 19.2285 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1926 loss: 1.1926 2022/07/31 06:20:56 - mmengine - INFO - Epoch(train) [58][720/2505] lr: 5.0000e-06 eta: 0:29:24 time: 0.9402 data_time: 0.3447 memory: 32703 grad_norm: 19.4242 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9954 loss: 0.9954 2022/07/31 06:21:15 - mmengine - INFO - Epoch(train) [58][740/2505] lr: 5.0000e-06 eta: 0:29:05 time: 0.9752 data_time: 0.3839 memory: 32703 grad_norm: 18.3993 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0278 loss: 1.0278 2022/07/31 06:21:35 - mmengine - INFO - Epoch(train) [58][760/2505] lr: 5.0000e-06 eta: 0:28:45 time: 1.0178 data_time: 0.4344 memory: 32703 grad_norm: 19.4672 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8937 loss: 0.8937 2022/07/31 06:21:55 - mmengine - INFO - Epoch(train) [58][780/2505] lr: 5.0000e-06 eta: 0:28:25 time: 0.9575 data_time: 0.3812 memory: 32703 grad_norm: 19.1823 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0008 loss: 1.0008 2022/07/31 06:22:15 - mmengine - INFO - Epoch(train) [58][800/2505] lr: 5.0000e-06 eta: 0:28:05 time: 1.0309 data_time: 0.4535 memory: 32703 grad_norm: 19.4044 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9600 loss: 0.9600 2022/07/31 06:22:34 - mmengine - INFO - Epoch(train) [58][820/2505] lr: 5.0000e-06 eta: 0:27:45 time: 0.9499 data_time: 0.3589 memory: 32703 grad_norm: 18.3607 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9981 loss: 0.9981 2022/07/31 06:22:54 - mmengine - INFO - Epoch(train) [58][840/2505] lr: 5.0000e-06 eta: 0:27:26 time: 1.0014 data_time: 0.4121 memory: 32703 grad_norm: 19.0623 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0981 loss: 1.0981 2022/07/31 06:23:14 - mmengine - INFO - Epoch(train) [58][860/2505] lr: 5.0000e-06 eta: 0:27:06 time: 1.0063 data_time: 0.4356 memory: 32703 grad_norm: 18.5571 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9686 loss: 0.9686 2022/07/31 06:23:33 - mmengine - INFO - Epoch(train) [58][880/2505] lr: 5.0000e-06 eta: 0:26:46 time: 0.9482 data_time: 0.3489 memory: 32703 grad_norm: 19.5072 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9707 loss: 0.9707 2022/07/31 06:23:54 - mmengine - INFO - Epoch(train) [58][900/2505] lr: 5.0000e-06 eta: 0:26:26 time: 1.0446 data_time: 0.4425 memory: 32703 grad_norm: 19.2828 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1284 loss: 1.1284 2022/07/31 06:24:12 - mmengine - INFO - Epoch(train) [58][920/2505] lr: 5.0000e-06 eta: 0:26:07 time: 0.8611 data_time: 0.2812 memory: 32703 grad_norm: 18.7230 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 0.8780 loss: 0.8780 2022/07/31 06:24:32 - mmengine - INFO - Epoch(train) [58][940/2505] lr: 5.0000e-06 eta: 0:25:47 time: 1.0460 data_time: 0.4575 memory: 32703 grad_norm: 19.3620 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8471 loss: 0.8471 2022/07/31 06:24:51 - mmengine - INFO - Epoch(train) [58][960/2505] lr: 5.0000e-06 eta: 0:25:27 time: 0.9088 data_time: 0.3309 memory: 32703 grad_norm: 19.7218 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9548 loss: 0.9548 2022/07/31 06:25:12 - mmengine - INFO - Epoch(train) [58][980/2505] lr: 5.0000e-06 eta: 0:25:07 time: 1.0813 data_time: 0.5016 memory: 32703 grad_norm: 18.6616 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.7508 loss: 0.7508 2022/07/31 06:25:31 - mmengine - INFO - Epoch(train) [58][1000/2505] lr: 5.0000e-06 eta: 0:24:47 time: 0.9234 data_time: 0.3443 memory: 32703 grad_norm: 19.2131 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9991 loss: 0.9991 2022/07/31 06:25:52 - mmengine - INFO - Epoch(train) [58][1020/2505] lr: 5.0000e-06 eta: 0:24:28 time: 1.0458 data_time: 0.4716 memory: 32703 grad_norm: 19.1883 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0570 loss: 1.0570 2022/07/31 06:26:10 - mmengine - INFO - Epoch(train) [58][1040/2505] lr: 5.0000e-06 eta: 0:24:08 time: 0.9076 data_time: 0.3311 memory: 32703 grad_norm: 19.6493 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8801 loss: 0.8801 2022/07/31 06:26:32 - mmengine - INFO - Epoch(train) [58][1060/2505] lr: 5.0000e-06 eta: 0:23:48 time: 1.0872 data_time: 0.4710 memory: 32703 grad_norm: 19.4985 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9003 loss: 0.9003 2022/07/31 06:26:50 - mmengine - INFO - Epoch(train) [58][1080/2505] lr: 5.0000e-06 eta: 0:23:28 time: 0.9277 data_time: 0.2393 memory: 32703 grad_norm: 19.2534 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0405 loss: 1.0405 2022/07/31 06:27:11 - mmengine - INFO - Epoch(train) [58][1100/2505] lr: 5.0000e-06 eta: 0:23:09 time: 1.0338 data_time: 0.3307 memory: 32703 grad_norm: 19.0230 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0147 loss: 1.0147 2022/07/31 06:27:29 - mmengine - INFO - Epoch(train) [58][1120/2505] lr: 5.0000e-06 eta: 0:22:49 time: 0.9210 data_time: 0.2892 memory: 32703 grad_norm: 19.2262 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1323 loss: 1.1323 2022/07/31 06:27:50 - mmengine - INFO - Epoch(train) [58][1140/2505] lr: 5.0000e-06 eta: 0:22:29 time: 1.0376 data_time: 0.4362 memory: 32703 grad_norm: 19.3548 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9624 loss: 0.9624 2022/07/31 06:28:09 - mmengine - INFO - Epoch(train) [58][1160/2505] lr: 5.0000e-06 eta: 0:22:09 time: 0.9283 data_time: 0.3103 memory: 32703 grad_norm: 19.1837 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0241 loss: 1.0241 2022/07/31 06:28:31 - mmengine - INFO - Epoch(train) [58][1180/2505] lr: 5.0000e-06 eta: 0:21:50 time: 1.0922 data_time: 0.5032 memory: 32703 grad_norm: 18.6303 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0239 loss: 1.0239 2022/07/31 06:28:49 - mmengine - INFO - Epoch(train) [58][1200/2505] lr: 5.0000e-06 eta: 0:21:30 time: 0.9205 data_time: 0.3419 memory: 32703 grad_norm: 19.1511 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7795 loss: 0.7795 2022/07/31 06:29:04 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 06:29:10 - mmengine - INFO - Epoch(train) [58][1220/2505] lr: 5.0000e-06 eta: 0:21:10 time: 1.0402 data_time: 0.4491 memory: 32703 grad_norm: 18.8810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0912 loss: 1.0912 2022/07/31 06:29:28 - mmengine - INFO - Epoch(train) [58][1240/2505] lr: 5.0000e-06 eta: 0:20:50 time: 0.9221 data_time: 0.3349 memory: 32703 grad_norm: 19.5101 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1250 loss: 1.1250 2022/07/31 06:29:49 - mmengine - INFO - Epoch(train) [58][1260/2505] lr: 5.0000e-06 eta: 0:20:30 time: 1.0191 data_time: 0.4158 memory: 32703 grad_norm: 19.0373 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9939 loss: 0.9939 2022/07/31 06:30:07 - mmengine - INFO - Epoch(train) [58][1280/2505] lr: 5.0000e-06 eta: 0:20:11 time: 0.9068 data_time: 0.3298 memory: 32703 grad_norm: 18.7489 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.7385 loss: 0.7385 2022/07/31 06:30:28 - mmengine - INFO - Epoch(train) [58][1300/2505] lr: 5.0000e-06 eta: 0:19:51 time: 1.0883 data_time: 0.4974 memory: 32703 grad_norm: 18.9622 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.8979 loss: 0.8979 2022/07/31 06:30:47 - mmengine - INFO - Epoch(train) [58][1320/2505] lr: 5.0000e-06 eta: 0:19:31 time: 0.9308 data_time: 0.3500 memory: 32703 grad_norm: 20.2352 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1279 loss: 1.1279 2022/07/31 06:31:08 - mmengine - INFO - Epoch(train) [58][1340/2505] lr: 5.0000e-06 eta: 0:19:11 time: 1.0595 data_time: 0.4800 memory: 32703 grad_norm: 19.7099 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1606 loss: 1.1606 2022/07/31 06:31:26 - mmengine - INFO - Epoch(train) [58][1360/2505] lr: 5.0000e-06 eta: 0:18:52 time: 0.8728 data_time: 0.2977 memory: 32703 grad_norm: 19.4430 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7407 loss: 0.7407 2022/07/31 06:31:47 - mmengine - INFO - Epoch(train) [58][1380/2505] lr: 5.0000e-06 eta: 0:18:32 time: 1.0704 data_time: 0.4939 memory: 32703 grad_norm: 19.5520 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8382 loss: 0.8382 2022/07/31 06:32:06 - mmengine - INFO - Epoch(train) [58][1400/2505] lr: 5.0000e-06 eta: 0:18:12 time: 0.9353 data_time: 0.3408 memory: 32703 grad_norm: 19.1063 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1098 loss: 1.1098 2022/07/31 06:32:27 - mmengine - INFO - Epoch(train) [58][1420/2505] lr: 5.0000e-06 eta: 0:17:52 time: 1.0491 data_time: 0.4712 memory: 32703 grad_norm: 19.1888 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8880 loss: 0.8880 2022/07/31 06:32:45 - mmengine - INFO - Epoch(train) [58][1440/2505] lr: 5.0000e-06 eta: 0:17:32 time: 0.9030 data_time: 0.3045 memory: 32703 grad_norm: 18.8064 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8048 loss: 0.8048 2022/07/31 06:33:06 - mmengine - INFO - Epoch(train) [58][1460/2505] lr: 5.0000e-06 eta: 0:17:13 time: 1.0483 data_time: 0.4509 memory: 32703 grad_norm: 18.7359 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0824 loss: 1.0824 2022/07/31 06:33:25 - mmengine - INFO - Epoch(train) [58][1480/2505] lr: 5.0000e-06 eta: 0:16:53 time: 0.9510 data_time: 0.3558 memory: 32703 grad_norm: 19.0129 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9791 loss: 0.9791 2022/07/31 06:33:45 - mmengine - INFO - Epoch(train) [58][1500/2505] lr: 5.0000e-06 eta: 0:16:33 time: 1.0091 data_time: 0.4094 memory: 32703 grad_norm: 19.1117 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9744 loss: 0.9744 2022/07/31 06:34:03 - mmengine - INFO - Epoch(train) [58][1520/2505] lr: 5.0000e-06 eta: 0:16:13 time: 0.9030 data_time: 0.3214 memory: 32703 grad_norm: 19.1688 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0144 loss: 1.0144 2022/07/31 06:34:24 - mmengine - INFO - Epoch(train) [58][1540/2505] lr: 5.0000e-06 eta: 0:15:54 time: 1.0372 data_time: 0.4184 memory: 32703 grad_norm: 19.1557 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8673 loss: 0.8673 2022/07/31 06:34:43 - mmengine - INFO - Epoch(train) [58][1560/2505] lr: 5.0000e-06 eta: 0:15:34 time: 0.9431 data_time: 0.3450 memory: 32703 grad_norm: 19.7067 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8018 loss: 0.8018 2022/07/31 06:35:04 - mmengine - INFO - Epoch(train) [58][1580/2505] lr: 5.0000e-06 eta: 0:15:14 time: 1.0647 data_time: 0.4571 memory: 32703 grad_norm: 19.0871 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9894 loss: 0.9894 2022/07/31 06:35:23 - mmengine - INFO - Epoch(train) [58][1600/2505] lr: 5.0000e-06 eta: 0:14:54 time: 0.9355 data_time: 0.3090 memory: 32703 grad_norm: 19.8003 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8589 loss: 0.8589 2022/07/31 06:35:43 - mmengine - INFO - Epoch(train) [58][1620/2505] lr: 5.0000e-06 eta: 0:14:34 time: 1.0278 data_time: 0.3600 memory: 32703 grad_norm: 18.7894 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8960 loss: 0.8960 2022/07/31 06:36:02 - mmengine - INFO - Epoch(train) [58][1640/2505] lr: 5.0000e-06 eta: 0:14:15 time: 0.9432 data_time: 0.3439 memory: 32703 grad_norm: 18.5690 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9608 loss: 0.9608 2022/07/31 06:36:22 - mmengine - INFO - Epoch(train) [58][1660/2505] lr: 5.0000e-06 eta: 0:13:55 time: 1.0025 data_time: 0.4089 memory: 32703 grad_norm: 19.7418 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8629 loss: 0.8629 2022/07/31 06:36:43 - mmengine - INFO - Epoch(train) [58][1680/2505] lr: 5.0000e-06 eta: 0:13:35 time: 1.0408 data_time: 0.4444 memory: 32703 grad_norm: 19.1068 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8916 loss: 0.8916 2022/07/31 06:37:01 - mmengine - INFO - Epoch(train) [58][1700/2505] lr: 5.0000e-06 eta: 0:13:15 time: 0.8924 data_time: 0.3188 memory: 32703 grad_norm: 19.4178 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8891 loss: 0.8891 2022/07/31 06:37:22 - mmengine - INFO - Epoch(train) [58][1720/2505] lr: 5.0000e-06 eta: 0:12:56 time: 1.0487 data_time: 0.4530 memory: 32703 grad_norm: 18.7564 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9289 loss: 0.9289 2022/07/31 06:37:40 - mmengine - INFO - Epoch(train) [58][1740/2505] lr: 5.0000e-06 eta: 0:12:36 time: 0.8932 data_time: 0.3071 memory: 32703 grad_norm: 19.1446 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9235 loss: 0.9235 2022/07/31 06:38:02 - mmengine - INFO - Epoch(train) [58][1760/2505] lr: 5.0000e-06 eta: 0:12:16 time: 1.0813 data_time: 0.4851 memory: 32703 grad_norm: 19.2628 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7922 loss: 0.7922 2022/07/31 06:38:20 - mmengine - INFO - Epoch(train) [58][1780/2505] lr: 5.0000e-06 eta: 0:11:56 time: 0.9124 data_time: 0.3321 memory: 32703 grad_norm: 19.3742 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9287 loss: 0.9287 2022/07/31 06:38:41 - mmengine - INFO - Epoch(train) [58][1800/2505] lr: 5.0000e-06 eta: 0:11:37 time: 1.0461 data_time: 0.4473 memory: 32703 grad_norm: 18.3088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7428 loss: 0.7428 2022/07/31 06:38:59 - mmengine - INFO - Epoch(train) [58][1820/2505] lr: 5.0000e-06 eta: 0:11:17 time: 0.9174 data_time: 0.3224 memory: 32703 grad_norm: 18.8291 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9585 loss: 0.9585 2022/07/31 06:39:21 - mmengine - INFO - Epoch(train) [58][1840/2505] lr: 5.0000e-06 eta: 0:10:57 time: 1.0812 data_time: 0.4910 memory: 32703 grad_norm: 19.3517 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8330 loss: 0.8330 2022/07/31 06:39:39 - mmengine - INFO - Epoch(train) [58][1860/2505] lr: 5.0000e-06 eta: 0:10:37 time: 0.8884 data_time: 0.2944 memory: 32703 grad_norm: 18.9118 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9717 loss: 0.9717 2022/07/31 06:39:59 - mmengine - INFO - Epoch(train) [58][1880/2505] lr: 5.0000e-06 eta: 0:10:17 time: 1.0252 data_time: 0.4447 memory: 32703 grad_norm: 18.5954 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8860 loss: 0.8860 2022/07/31 06:40:18 - mmengine - INFO - Epoch(train) [58][1900/2505] lr: 5.0000e-06 eta: 0:09:58 time: 0.9523 data_time: 0.3656 memory: 32703 grad_norm: 19.2514 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.7818 loss: 0.7818 2022/07/31 06:40:40 - mmengine - INFO - Epoch(train) [58][1920/2505] lr: 5.0000e-06 eta: 0:09:38 time: 1.0727 data_time: 0.4923 memory: 32703 grad_norm: 18.7970 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9798 loss: 0.9798 2022/07/31 06:40:59 - mmengine - INFO - Epoch(train) [58][1940/2505] lr: 5.0000e-06 eta: 0:09:18 time: 0.9790 data_time: 0.3790 memory: 32703 grad_norm: 18.5893 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.6970 loss: 0.6970 2022/07/31 06:41:19 - mmengine - INFO - Epoch(train) [58][1960/2505] lr: 5.0000e-06 eta: 0:08:58 time: 0.9976 data_time: 0.4177 memory: 32703 grad_norm: 19.3451 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9243 loss: 0.9243 2022/07/31 06:41:36 - mmengine - INFO - Epoch(train) [58][1980/2505] lr: 5.0000e-06 eta: 0:08:39 time: 0.8549 data_time: 0.2653 memory: 32703 grad_norm: 19.7895 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9451 loss: 0.9451 2022/07/31 06:41:57 - mmengine - INFO - Epoch(train) [58][2000/2505] lr: 5.0000e-06 eta: 0:08:19 time: 1.0458 data_time: 0.4634 memory: 32703 grad_norm: 19.4704 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9706 loss: 0.9706 2022/07/31 06:42:16 - mmengine - INFO - Epoch(train) [58][2020/2505] lr: 5.0000e-06 eta: 0:07:59 time: 0.9291 data_time: 0.3423 memory: 32703 grad_norm: 18.4781 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0304 loss: 1.0304 2022/07/31 06:42:37 - mmengine - INFO - Epoch(train) [58][2040/2505] lr: 5.0000e-06 eta: 0:07:39 time: 1.0814 data_time: 0.5054 memory: 32703 grad_norm: 18.8362 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0000 loss: 1.0000 2022/07/31 06:42:56 - mmengine - INFO - Epoch(train) [58][2060/2505] lr: 5.0000e-06 eta: 0:07:19 time: 0.9386 data_time: 0.3591 memory: 32703 grad_norm: 19.0999 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0933 loss: 1.0933 2022/07/31 06:43:18 - mmengine - INFO - Epoch(train) [58][2080/2505] lr: 5.0000e-06 eta: 0:07:00 time: 1.0797 data_time: 0.4997 memory: 32703 grad_norm: 20.0099 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2343 loss: 1.2343 2022/07/31 06:43:36 - mmengine - INFO - Epoch(train) [58][2100/2505] lr: 5.0000e-06 eta: 0:06:40 time: 0.8931 data_time: 0.3108 memory: 32703 grad_norm: 19.7454 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9884 loss: 0.9884 2022/07/31 06:43:57 - mmengine - INFO - Epoch(train) [58][2120/2505] lr: 5.0000e-06 eta: 0:06:20 time: 1.0491 data_time: 0.4584 memory: 32703 grad_norm: 20.1154 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2070 loss: 1.2070 2022/07/31 06:44:15 - mmengine - INFO - Epoch(train) [58][2140/2505] lr: 5.0000e-06 eta: 0:06:00 time: 0.8957 data_time: 0.3157 memory: 32703 grad_norm: 19.3893 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9805 loss: 0.9805 2022/07/31 06:44:36 - mmengine - INFO - Epoch(train) [58][2160/2505] lr: 5.0000e-06 eta: 0:05:41 time: 1.0622 data_time: 0.4710 memory: 32703 grad_norm: 18.9469 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8991 loss: 0.8991 2022/07/31 06:44:53 - mmengine - INFO - Epoch(train) [58][2180/2505] lr: 5.0000e-06 eta: 0:05:21 time: 0.8487 data_time: 0.2718 memory: 32703 grad_norm: 18.4212 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9293 loss: 0.9293 2022/07/31 06:45:14 - mmengine - INFO - Epoch(train) [58][2200/2505] lr: 5.0000e-06 eta: 0:05:01 time: 1.0800 data_time: 0.4940 memory: 32703 grad_norm: 18.9769 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1970 loss: 1.1970 2022/07/31 06:45:29 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 06:45:33 - mmengine - INFO - Epoch(train) [58][2220/2505] lr: 5.0000e-06 eta: 0:04:41 time: 0.9137 data_time: 0.2869 memory: 32703 grad_norm: 19.1721 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8821 loss: 0.8821 2022/07/31 06:45:54 - mmengine - INFO - Epoch(train) [58][2240/2505] lr: 5.0000e-06 eta: 0:04:21 time: 1.0588 data_time: 0.4415 memory: 32703 grad_norm: 19.0612 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8866 loss: 0.8866 2022/07/31 06:46:12 - mmengine - INFO - Epoch(train) [58][2260/2505] lr: 5.0000e-06 eta: 0:04:02 time: 0.9318 data_time: 0.3095 memory: 32703 grad_norm: 19.4435 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.8851 loss: 0.8851 2022/07/31 06:46:34 - mmengine - INFO - Epoch(train) [58][2280/2505] lr: 5.0000e-06 eta: 0:03:42 time: 1.0717 data_time: 0.4523 memory: 32703 grad_norm: 19.7383 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9050 loss: 0.9050 2022/07/31 06:46:52 - mmengine - INFO - Epoch(train) [58][2300/2505] lr: 5.0000e-06 eta: 0:03:22 time: 0.8926 data_time: 0.3185 memory: 32703 grad_norm: 19.3474 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9033 loss: 0.9033 2022/07/31 06:47:13 - mmengine - INFO - Epoch(train) [58][2320/2505] lr: 5.0000e-06 eta: 0:03:02 time: 1.0438 data_time: 0.4600 memory: 32703 grad_norm: 19.1909 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8822 loss: 0.8822 2022/07/31 06:47:31 - mmengine - INFO - Epoch(train) [58][2340/2505] lr: 5.0000e-06 eta: 0:02:43 time: 0.9141 data_time: 0.3022 memory: 32703 grad_norm: 18.7133 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0244 loss: 1.0244 2022/07/31 06:47:52 - mmengine - INFO - Epoch(train) [58][2360/2505] lr: 5.0000e-06 eta: 0:02:23 time: 1.0354 data_time: 0.3771 memory: 32703 grad_norm: 19.5643 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0112 loss: 1.0112 2022/07/31 06:48:10 - mmengine - INFO - Epoch(train) [58][2380/2505] lr: 5.0000e-06 eta: 0:02:03 time: 0.8954 data_time: 0.3017 memory: 32703 grad_norm: 18.6859 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9670 loss: 0.9670 2022/07/31 06:48:31 - mmengine - INFO - Epoch(train) [58][2400/2505] lr: 5.0000e-06 eta: 0:01:43 time: 1.0547 data_time: 0.4288 memory: 32703 grad_norm: 19.9556 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1470 loss: 1.1470 2022/07/31 06:48:49 - mmengine - INFO - Epoch(train) [58][2420/2505] lr: 5.0000e-06 eta: 0:01:24 time: 0.9204 data_time: 0.2967 memory: 32703 grad_norm: 19.0590 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2177 loss: 1.2177 2022/07/31 06:49:10 - mmengine - INFO - Epoch(train) [58][2440/2505] lr: 5.0000e-06 eta: 0:01:04 time: 1.0661 data_time: 0.4459 memory: 32703 grad_norm: 19.3724 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9487 loss: 0.9487 2022/07/31 06:49:29 - mmengine - INFO - Epoch(train) [58][2460/2505] lr: 5.0000e-06 eta: 0:00:44 time: 0.9221 data_time: 0.3198 memory: 32703 grad_norm: 19.7803 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9038 loss: 0.9038 2022/07/31 06:49:50 - mmengine - INFO - Epoch(train) [58][2480/2505] lr: 5.0000e-06 eta: 0:00:24 time: 1.0376 data_time: 0.3944 memory: 32703 grad_norm: 18.3689 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1189 loss: 1.1189 2022/07/31 06:50:08 - mmengine - INFO - Epoch(train) [58][2500/2505] lr: 5.0000e-06 eta: 0:00:04 time: 0.9243 data_time: 0.3379 memory: 32703 grad_norm: 18.7259 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0580 loss: 1.0580 2022/07/31 06:50:11 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_134436 2022/07/31 06:50:11 - mmengine - INFO - Epoch(train) [58][2505/2505] lr: 5.0000e-06 eta: 0:00:04 time: 0.7439 data_time: 0.1819 memory: 32703 grad_norm: 18.8563 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.0849 loss: 1.0849 2022/07/31 06:50:11 - mmengine - INFO - Saving checkpoint at 58 epochs