2022/07/29 12:03:47 - mmengine - INFO - load model from: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_from_scratch_r152_ig65m_20200807-771c4135.pth 2022/07/29 12:03:47 - 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 12:03:49 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb by HardDiskBackend. 2022/07/29 12:04:37 - mmengine - INFO - Epoch(train) [1][20/2505] lr: 5.0000e-05 eta: 3 days, 23:17:32 time: 2.3615 data_time: 0.6078 memory: 70075 grad_norm: 6.1729 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0272 loss: 6.0272 2022/07/29 12:04:53 - mmengine - INFO - Epoch(train) [1][40/2505] lr: 5.0000e-05 eta: 2 days, 16:07:27 time: 0.8171 data_time: 0.0452 memory: 32752 grad_norm: 4.5872 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9837 loss: 5.9837 2022/07/29 12:05:14 - mmengine - INFO - Epoch(train) [1][60/2505] lr: 5.0000e-05 eta: 2 days, 8:41:07 time: 1.0368 data_time: 0.1170 memory: 32752 grad_norm: 4.1857 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9795 loss: 5.9795 2022/07/29 12:05:33 - mmengine - INFO - Epoch(train) [1][80/2505] lr: 5.0000e-05 eta: 2 days, 4:27:12 time: 0.9862 data_time: 0.0827 memory: 32752 grad_norm: 3.5859 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9857 loss: 5.9857 2022/07/29 12:05:54 - mmengine - INFO - Epoch(train) [1][100/2505] lr: 5.0000e-05 eta: 2 days, 2:19:43 time: 1.0379 data_time: 0.0609 memory: 32752 grad_norm: 3.3894 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.9826 loss: 5.9826 2022/07/29 12:06:13 - mmengine - INFO - Epoch(train) [1][120/2505] lr: 5.0000e-05 eta: 2 days, 0:11:03 time: 0.9298 data_time: 0.0616 memory: 32752 grad_norm: 3.2802 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9890 loss: 5.9890 2022/07/29 12:06:34 - mmengine - INFO - Epoch(train) [1][140/2505] lr: 5.0000e-05 eta: 1 day, 23:18:54 time: 1.0452 data_time: 0.0564 memory: 32752 grad_norm: 3.6688 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9755 loss: 5.9755 2022/07/29 12:06:55 - mmengine - INFO - Epoch(train) [1][160/2505] lr: 5.0000e-05 eta: 1 day, 22:40:33 time: 1.0479 data_time: 0.0333 memory: 32752 grad_norm: 4.2215 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9750 loss: 5.9750 2022/07/29 12:07:15 - mmengine - INFO - Epoch(train) [1][180/2505] lr: 5.0000e-05 eta: 1 day, 22:06:15 time: 1.0316 data_time: 0.0303 memory: 32752 grad_norm: 4.8186 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9859 loss: 5.9859 2022/07/29 12:07:35 - mmengine - INFO - Epoch(train) [1][200/2505] lr: 5.0000e-05 eta: 1 day, 21:26:06 time: 0.9794 data_time: 0.0334 memory: 32752 grad_norm: 4.7887 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9715 loss: 5.9715 2022/07/29 12:07:55 - mmengine - INFO - Epoch(train) [1][220/2505] lr: 5.0000e-05 eta: 1 day, 20:54:54 time: 0.9871 data_time: 0.0350 memory: 32752 grad_norm: 5.5076 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9710 loss: 5.9710 2022/07/29 12:08:14 - mmengine - INFO - Epoch(train) [1][240/2505] lr: 5.0000e-05 eta: 1 day, 20:25:44 time: 0.9717 data_time: 0.0294 memory: 32752 grad_norm: 5.5823 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9692 loss: 5.9692 2022/07/29 12:08:34 - mmengine - INFO - Epoch(train) [1][260/2505] lr: 5.0000e-05 eta: 1 day, 20:09:04 time: 1.0151 data_time: 0.0315 memory: 32752 grad_norm: 5.7354 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9553 loss: 5.9553 2022/07/29 12:08:53 - mmengine - INFO - Epoch(train) [1][280/2505] lr: 5.0000e-05 eta: 1 day, 19:44:47 time: 0.9573 data_time: 0.0299 memory: 32752 grad_norm: 6.5920 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9570 loss: 5.9570 2022/07/29 12:09:14 - mmengine - INFO - Epoch(train) [1][300/2505] lr: 5.0000e-05 eta: 1 day, 19:35:17 time: 1.0293 data_time: 0.0288 memory: 32752 grad_norm: 6.7145 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9577 loss: 5.9577 2022/07/29 12:09:32 - mmengine - INFO - Epoch(train) [1][320/2505] lr: 5.0000e-05 eta: 1 day, 19:05:46 time: 0.8893 data_time: 0.0328 memory: 32752 grad_norm: 6.7775 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.9488 loss: 5.9488 2022/07/29 12:09:54 - mmengine - INFO - Epoch(train) [1][340/2505] lr: 5.0000e-05 eta: 1 day, 19:09:42 time: 1.1003 data_time: 0.0263 memory: 32752 grad_norm: 7.9024 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9322 loss: 5.9322 2022/07/29 12:10:10 - mmengine - INFO - Epoch(train) [1][360/2505] lr: 5.0000e-05 eta: 1 day, 18:36:50 time: 0.8298 data_time: 0.0334 memory: 32752 grad_norm: 7.7162 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9051 loss: 5.9051 2022/07/29 12:10:31 - mmengine - INFO - Epoch(train) [1][380/2505] lr: 5.0000e-05 eta: 1 day, 18:31:59 time: 1.0230 data_time: 0.0271 memory: 32752 grad_norm: 8.8322 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8881 loss: 5.8881 2022/07/29 12:10:52 - mmengine - INFO - Epoch(train) [1][400/2505] lr: 5.0000e-05 eta: 1 day, 18:28:53 time: 1.0339 data_time: 0.0297 memory: 32752 grad_norm: 9.6472 top1_acc: 0.0000 top5_acc: 0.1667 loss_cls: 5.9118 loss: 5.9118 2022/07/29 12:11:10 - mmengine - INFO - Epoch(train) [1][420/2505] lr: 5.0000e-05 eta: 1 day, 18:13:27 time: 0.9244 data_time: 0.0264 memory: 32752 grad_norm: 10.3246 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 5.9148 loss: 5.9148 2022/07/29 12:11:30 - mmengine - INFO - Epoch(train) [1][440/2505] lr: 5.0000e-05 eta: 1 day, 18:07:00 time: 0.9936 data_time: 0.0294 memory: 32752 grad_norm: 10.5774 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8903 loss: 5.8903 2022/07/29 12:11:50 - mmengine - INFO - Epoch(train) [1][460/2505] lr: 5.0000e-05 eta: 1 day, 18:04:03 time: 1.0221 data_time: 0.0285 memory: 32752 grad_norm: 11.2488 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.8261 loss: 5.8261 2022/07/29 12:12:11 - mmengine - INFO - Epoch(train) [1][480/2505] lr: 5.0000e-05 eta: 1 day, 18:00:17 time: 1.0116 data_time: 0.0298 memory: 32752 grad_norm: 12.4331 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8782 loss: 5.8782 2022/07/29 12:12:31 - mmengine - INFO - Epoch(train) [1][500/2505] lr: 5.0000e-05 eta: 1 day, 17:56:29 time: 1.0085 data_time: 0.0277 memory: 32752 grad_norm: 12.0461 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 5.7680 loss: 5.7680 2022/07/29 12:12:50 - mmengine - INFO - Epoch(train) [1][520/2505] lr: 5.0000e-05 eta: 1 day, 17:50:05 time: 0.9776 data_time: 0.0325 memory: 32752 grad_norm: 14.1783 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.8065 loss: 5.8065 2022/07/29 12:13:09 - mmengine - INFO - Epoch(train) [1][540/2505] lr: 5.0000e-05 eta: 1 day, 17:41:30 time: 0.9480 data_time: 0.0286 memory: 32752 grad_norm: 15.2364 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.7358 loss: 5.7358 2022/07/29 12:13:30 - mmengine - INFO - Epoch(train) [1][560/2505] lr: 5.0000e-05 eta: 1 day, 17:39:14 time: 1.0147 data_time: 0.0285 memory: 32752 grad_norm: 13.4483 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7843 loss: 5.7843 2022/07/29 12:13:50 - mmengine - INFO - Epoch(train) [1][580/2505] lr: 5.0000e-05 eta: 1 day, 17:36:02 time: 1.0017 data_time: 0.0322 memory: 32752 grad_norm: 14.7509 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7644 loss: 5.7644 2022/07/29 12:14:08 - mmengine - INFO - Epoch(train) [1][600/2505] lr: 5.0000e-05 eta: 1 day, 17:27:28 time: 0.9325 data_time: 0.0299 memory: 32752 grad_norm: 15.2352 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 5.6890 loss: 5.6890 2022/07/29 12:14:26 - mmengine - INFO - Epoch(train) [1][620/2505] lr: 5.0000e-05 eta: 1 day, 17:16:25 time: 0.8940 data_time: 0.0334 memory: 32752 grad_norm: 15.9165 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7178 loss: 5.7178 2022/07/29 12:14:47 - mmengine - INFO - Epoch(train) [1][640/2505] lr: 5.0000e-05 eta: 1 day, 17:16:57 time: 1.0386 data_time: 0.0293 memory: 32752 grad_norm: 16.5772 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7065 loss: 5.7065 2022/07/29 12:15:09 - mmengine - INFO - Epoch(train) [1][660/2505] lr: 5.0000e-05 eta: 1 day, 17:21:10 time: 1.0899 data_time: 0.0283 memory: 32752 grad_norm: 16.5121 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6596 loss: 5.6596 2022/07/29 12:15:26 - mmengine - INFO - Epoch(train) [1][680/2505] lr: 5.0000e-05 eta: 1 day, 17:08:32 time: 0.8560 data_time: 0.0269 memory: 32752 grad_norm: 18.7751 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 5.6578 loss: 5.6578 2022/07/29 12:15:44 - mmengine - INFO - Epoch(train) [1][700/2505] lr: 5.0000e-05 eta: 1 day, 17:00:18 time: 0.9097 data_time: 0.0263 memory: 32752 grad_norm: 17.7424 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6059 loss: 5.6059 2022/07/29 12:16:04 - mmengine - INFO - Epoch(train) [1][720/2505] lr: 5.0000e-05 eta: 1 day, 16:57:47 time: 0.9883 data_time: 0.0335 memory: 32752 grad_norm: 18.0165 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 5.6133 loss: 5.6133 2022/07/29 12:16:24 - mmengine - INFO - Epoch(train) [1][740/2505] lr: 5.0000e-05 eta: 1 day, 16:55:43 time: 0.9935 data_time: 0.0297 memory: 32752 grad_norm: 18.4678 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 5.6860 loss: 5.6860 2022/07/29 12:16:43 - mmengine - INFO - Epoch(train) [1][760/2505] lr: 5.0000e-05 eta: 1 day, 16:52:11 time: 0.9689 data_time: 0.0281 memory: 32752 grad_norm: 20.4164 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.6195 loss: 5.6195 2022/07/29 12:17:03 - mmengine - INFO - Epoch(train) [1][780/2505] lr: 5.0000e-05 eta: 1 day, 16:49:33 time: 0.9809 data_time: 0.0462 memory: 32752 grad_norm: 20.2070 top1_acc: 0.0833 top5_acc: 0.3333 loss_cls: 5.4721 loss: 5.4721 2022/07/29 12:17:23 - mmengine - INFO - Epoch(train) [1][800/2505] lr: 5.0000e-05 eta: 1 day, 16:50:17 time: 1.0351 data_time: 0.4138 memory: 32752 grad_norm: 19.9748 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5539 loss: 5.5539 2022/07/29 12:17:41 - mmengine - INFO - Epoch(train) [1][820/2505] lr: 5.0000e-05 eta: 1 day, 16:42:43 time: 0.8943 data_time: 0.2821 memory: 32752 grad_norm: 20.1871 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.4327 loss: 5.4327 2022/07/29 12:18:01 - mmengine - INFO - Epoch(train) [1][840/2505] lr: 5.0000e-05 eta: 1 day, 16:40:48 time: 0.9870 data_time: 0.3385 memory: 32752 grad_norm: 22.1113 top1_acc: 0.0000 top5_acc: 0.1667 loss_cls: 5.3147 loss: 5.3147 2022/07/29 12:18:20 - mmengine - INFO - Epoch(train) [1][860/2505] lr: 5.0000e-05 eta: 1 day, 16:37:15 time: 0.9563 data_time: 0.1068 memory: 32752 grad_norm: 22.1583 top1_acc: 0.0000 top5_acc: 0.1667 loss_cls: 5.4333 loss: 5.4333 2022/07/29 12:18:40 - mmengine - INFO - Epoch(train) [1][880/2505] lr: 5.0000e-05 eta: 1 day, 16:35:51 time: 0.9933 data_time: 0.0741 memory: 32752 grad_norm: 22.5576 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.5823 loss: 5.5823 2022/07/29 12:18:59 - mmengine - INFO - Epoch(train) [1][900/2505] lr: 5.0000e-05 eta: 1 day, 16:33:22 time: 0.9719 data_time: 0.0592 memory: 32752 grad_norm: 23.7485 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.4138 loss: 5.4138 2022/07/29 12:19:22 - mmengine - INFO - Epoch(train) [1][920/2505] lr: 5.0000e-05 eta: 1 day, 16:40:17 time: 1.1497 data_time: 0.0782 memory: 32752 grad_norm: 25.7068 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 5.3710 loss: 5.3710 2022/07/29 12:19:42 - mmengine - INFO - Epoch(train) [1][940/2505] lr: 5.0000e-05 eta: 1 day, 16:37:27 time: 0.9657 data_time: 0.0278 memory: 32752 grad_norm: 24.6944 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 5.2820 loss: 5.2820 2022/07/29 12:20:00 - mmengine - INFO - Epoch(train) [1][960/2505] lr: 5.0000e-05 eta: 1 day, 16:31:48 time: 0.9070 data_time: 0.0390 memory: 32752 grad_norm: 28.9274 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 5.2873 loss: 5.2873 2022/07/29 12:20:20 - mmengine - INFO - Epoch(train) [1][980/2505] lr: 5.0000e-05 eta: 1 day, 16:30:26 time: 0.9901 data_time: 0.0321 memory: 32752 grad_norm: 26.9879 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 5.1910 loss: 5.1910 2022/07/29 12:20:39 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 12:20:39 - mmengine - INFO - Epoch(train) [1][1000/2505] lr: 5.0000e-05 eta: 1 day, 16:27:13 time: 0.9504 data_time: 0.0340 memory: 32752 grad_norm: 29.3823 top1_acc: 0.0000 top5_acc: 0.0833 loss_cls: 5.2344 loss: 5.2344 2022/07/29 12:20:59 - mmengine - INFO - Epoch(train) [1][1020/2505] lr: 5.0000e-05 eta: 1 day, 16:27:56 time: 1.0316 data_time: 0.0258 memory: 32752 grad_norm: 30.5917 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 5.0567 loss: 5.0567 2022/07/29 12:21:17 - mmengine - INFO - Epoch(train) [1][1040/2505] lr: 5.0000e-05 eta: 1 day, 16:22:21 time: 0.8965 data_time: 0.0281 memory: 32752 grad_norm: 29.2669 top1_acc: 0.0833 top5_acc: 0.2500 loss_cls: 5.3163 loss: 5.3163 2022/07/29 12:21:38 - mmengine - INFO - Epoch(train) [1][1060/2505] lr: 5.0000e-05 eta: 1 day, 16:23:32 time: 1.0407 data_time: 0.0269 memory: 32752 grad_norm: 30.9223 top1_acc: 0.0833 top5_acc: 0.2500 loss_cls: 5.0877 loss: 5.0877 2022/07/29 12:21:59 - mmengine - INFO - Epoch(train) [1][1080/2505] lr: 5.0000e-05 eta: 1 day, 16:25:42 time: 1.0646 data_time: 0.2449 memory: 32752 grad_norm: 31.2809 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 5.1908 loss: 5.1908 2022/07/29 12:22:19 - mmengine - INFO - Epoch(train) [1][1100/2505] lr: 5.0000e-05 eta: 1 day, 16:23:23 time: 0.9640 data_time: 0.1616 memory: 32752 grad_norm: 31.7942 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 4.9701 loss: 4.9701 2022/07/29 12:22:38 - mmengine - INFO - Epoch(train) [1][1120/2505] lr: 5.0000e-05 eta: 1 day, 16:20:11 time: 0.9416 data_time: 0.0711 memory: 32752 grad_norm: 32.6668 top1_acc: 0.0000 top5_acc: 0.1667 loss_cls: 4.9319 loss: 4.9319 2022/07/29 12:22:56 - mmengine - INFO - Epoch(train) [1][1140/2505] lr: 5.0000e-05 eta: 1 day, 16:16:43 time: 0.9328 data_time: 0.1202 memory: 32752 grad_norm: 32.3513 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.9302 loss: 4.9302 2022/07/29 12:23:17 - mmengine - INFO - Epoch(train) [1][1160/2505] lr: 5.0000e-05 eta: 1 day, 16:18:26 time: 1.0557 data_time: 0.3197 memory: 32752 grad_norm: 34.1476 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 4.7401 loss: 4.7401 2022/07/29 12:23:36 - mmengine - INFO - Epoch(train) [1][1180/2505] lr: 5.0000e-05 eta: 1 day, 16:15:04 time: 0.9322 data_time: 0.0663 memory: 32752 grad_norm: 36.8561 top1_acc: 0.0833 top5_acc: 0.2500 loss_cls: 4.6996 loss: 4.6996 2022/07/29 12:23:56 - mmengine - INFO - Epoch(train) [1][1200/2505] lr: 5.0000e-05 eta: 1 day, 16:14:01 time: 0.9878 data_time: 0.1554 memory: 32752 grad_norm: 35.6909 top1_acc: 0.1667 top5_acc: 0.2500 loss_cls: 4.8752 loss: 4.8752 2022/07/29 12:24:17 - mmengine - INFO - Epoch(train) [1][1220/2505] lr: 5.0000e-05 eta: 1 day, 16:17:03 time: 1.0906 data_time: 0.0296 memory: 32752 grad_norm: 36.8622 top1_acc: 0.0833 top5_acc: 0.1667 loss_cls: 4.8648 loss: 4.8648 2022/07/29 12:24:37 - mmengine - INFO - Epoch(train) [1][1240/2505] lr: 5.0000e-05 eta: 1 day, 16:14:41 time: 0.9540 data_time: 0.0382 memory: 32752 grad_norm: 38.1280 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 4.8968 loss: 4.8968 2022/07/29 12:24:56 - mmengine - INFO - Epoch(train) [1][1260/2505] lr: 5.0000e-05 eta: 1 day, 16:13:13 time: 0.9764 data_time: 0.0284 memory: 32752 grad_norm: 37.0694 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 4.5000 loss: 4.5000 2022/07/29 12:25:16 - mmengine - INFO - Epoch(train) [1][1280/2505] lr: 5.0000e-05 eta: 1 day, 16:13:00 time: 1.0082 data_time: 0.0270 memory: 32752 grad_norm: 38.2640 top1_acc: 0.0833 top5_acc: 0.4167 loss_cls: 4.5546 loss: 4.5546 2022/07/29 12:25:37 - mmengine - INFO - Epoch(train) [1][1300/2505] lr: 5.0000e-05 eta: 1 day, 16:14:30 time: 1.0552 data_time: 0.0417 memory: 32752 grad_norm: 38.1385 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 4.4887 loss: 4.4887 2022/07/29 12:25:56 - mmengine - INFO - Epoch(train) [1][1320/2505] lr: 5.0000e-05 eta: 1 day, 16:10:43 time: 0.9113 data_time: 0.0318 memory: 32752 grad_norm: 39.8608 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 4.6944 loss: 4.6944 2022/07/29 12:26:15 - mmengine - INFO - Epoch(train) [1][1340/2505] lr: 5.0000e-05 eta: 1 day, 16:08:38 time: 0.9556 data_time: 0.0318 memory: 32752 grad_norm: 39.1754 top1_acc: 0.0833 top5_acc: 0.3333 loss_cls: 4.2445 loss: 4.2445 2022/07/29 12:26:36 - mmengine - INFO - Epoch(train) [1][1360/2505] lr: 5.0000e-05 eta: 1 day, 16:10:25 time: 1.0642 data_time: 0.0261 memory: 32752 grad_norm: 39.0198 top1_acc: 0.0000 top5_acc: 0.3333 loss_cls: 4.3366 loss: 4.3366 2022/07/29 12:26:58 - mmengine - INFO - Epoch(train) [1][1380/2505] lr: 5.0000e-05 eta: 1 day, 16:13:55 time: 1.1153 data_time: 0.0322 memory: 32752 grad_norm: 38.5328 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 4.3527 loss: 4.3527 2022/07/29 12:27:18 - mmengine - INFO - Epoch(train) [1][1400/2505] lr: 5.0000e-05 eta: 1 day, 16:12:48 time: 0.9836 data_time: 0.0355 memory: 32752 grad_norm: 39.5779 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 4.4304 loss: 4.4304 2022/07/29 12:27:38 - mmengine - INFO - Epoch(train) [1][1420/2505] lr: 5.0000e-05 eta: 1 day, 16:12:16 time: 1.0003 data_time: 0.0261 memory: 32752 grad_norm: 40.9685 top1_acc: 0.1667 top5_acc: 0.2500 loss_cls: 4.3950 loss: 4.3950 2022/07/29 12:27:57 - mmengine - INFO - Epoch(train) [1][1440/2505] lr: 5.0000e-05 eta: 1 day, 16:10:58 time: 0.9768 data_time: 0.0337 memory: 32752 grad_norm: 40.6614 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 4.4150 loss: 4.4150 2022/07/29 12:28:18 - mmengine - INFO - Epoch(train) [1][1460/2505] lr: 5.0000e-05 eta: 1 day, 16:11:42 time: 1.0382 data_time: 0.0270 memory: 32752 grad_norm: 41.0862 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 4.0207 loss: 4.0207 2022/07/29 12:28:38 - mmengine - INFO - Epoch(train) [1][1480/2505] lr: 5.0000e-05 eta: 1 day, 16:10:11 time: 0.9698 data_time: 0.0310 memory: 32752 grad_norm: 42.0536 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 4.1181 loss: 4.1181 2022/07/29 12:28:58 - mmengine - INFO - Epoch(train) [1][1500/2505] lr: 5.0000e-05 eta: 1 day, 16:09:45 time: 1.0025 data_time: 0.0300 memory: 32752 grad_norm: 39.9206 top1_acc: 0.0833 top5_acc: 0.0833 loss_cls: 3.9688 loss: 3.9688 2022/07/29 12:29:17 - mmengine - INFO - Epoch(train) [1][1520/2505] lr: 5.0000e-05 eta: 1 day, 16:08:38 time: 0.9807 data_time: 0.0253 memory: 32752 grad_norm: 42.4234 top1_acc: 0.1667 top5_acc: 0.2500 loss_cls: 3.8441 loss: 3.8441 2022/07/29 12:29:35 - mmengine - INFO - Epoch(train) [1][1540/2505] lr: 5.0000e-05 eta: 1 day, 16:04:03 time: 0.8686 data_time: 0.0338 memory: 32752 grad_norm: 43.0661 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 3.8753 loss: 3.8753 2022/07/29 12:29:55 - mmengine - INFO - Epoch(train) [1][1560/2505] lr: 5.0000e-05 eta: 1 day, 16:04:50 time: 1.0396 data_time: 0.0292 memory: 32752 grad_norm: 41.5814 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2176 loss: 4.2176 2022/07/29 12:30:14 - mmengine - INFO - Epoch(train) [1][1580/2505] lr: 5.0000e-05 eta: 1 day, 16:01:58 time: 0.9204 data_time: 0.0308 memory: 32752 grad_norm: 43.8669 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 4.0793 loss: 4.0793 2022/07/29 12:30:35 - mmengine - INFO - Epoch(train) [1][1600/2505] lr: 5.0000e-05 eta: 1 day, 16:02:56 time: 1.0467 data_time: 0.0260 memory: 32752 grad_norm: 43.3339 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 3.8521 loss: 3.8521 2022/07/29 12:30:53 - mmengine - INFO - Epoch(train) [1][1620/2505] lr: 5.0000e-05 eta: 1 day, 16:00:24 time: 0.9287 data_time: 0.0325 memory: 32752 grad_norm: 42.8553 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9446 loss: 3.9446 2022/07/29 12:31:14 - mmengine - INFO - Epoch(train) [1][1640/2505] lr: 5.0000e-05 eta: 1 day, 16:00:19 time: 1.0113 data_time: 0.0272 memory: 32752 grad_norm: 41.6047 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7275 loss: 3.7275 2022/07/29 12:31:34 - mmengine - INFO - Epoch(train) [1][1660/2505] lr: 5.0000e-05 eta: 1 day, 15:59:50 time: 0.9973 data_time: 0.0261 memory: 32752 grad_norm: 43.7286 top1_acc: 0.1667 top5_acc: 0.4167 loss_cls: 3.7690 loss: 3.7690 2022/07/29 12:31:59 - mmengine - INFO - Epoch(train) [1][1680/2505] lr: 5.0000e-05 eta: 1 day, 16:07:42 time: 1.2901 data_time: 0.0293 memory: 32752 grad_norm: 43.8459 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 3.8630 loss: 3.8630 2022/07/29 12:32:15 - mmengine - INFO - Epoch(train) [1][1700/2505] lr: 5.0000e-05 eta: 1 day, 16:01:12 time: 0.7875 data_time: 0.0330 memory: 32752 grad_norm: 42.2959 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4895 loss: 3.4895 2022/07/29 12:32:36 - mmengine - INFO - Epoch(train) [1][1720/2505] lr: 5.0000e-05 eta: 1 day, 16:02:16 time: 1.0532 data_time: 0.0275 memory: 32752 grad_norm: 43.3935 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 3.7819 loss: 3.7819 2022/07/29 12:32:54 - mmengine - INFO - Epoch(train) [1][1740/2505] lr: 5.0000e-05 eta: 1 day, 15:59:18 time: 0.9083 data_time: 0.0337 memory: 32752 grad_norm: 44.1131 top1_acc: 0.1667 top5_acc: 0.2500 loss_cls: 3.5264 loss: 3.5264 2022/07/29 12:33:16 - mmengine - INFO - Epoch(train) [1][1760/2505] lr: 5.0000e-05 eta: 1 day, 16:01:38 time: 1.1013 data_time: 0.0294 memory: 32752 grad_norm: 43.8369 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 3.5714 loss: 3.5714 2022/07/29 12:33:36 - mmengine - INFO - Epoch(train) [1][1780/2505] lr: 5.0000e-05 eta: 1 day, 16:01:03 time: 0.9947 data_time: 0.0273 memory: 32752 grad_norm: 42.7984 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 3.3941 loss: 3.3941 2022/07/29 12:33:58 - mmengine - INFO - Epoch(train) [1][1800/2505] lr: 5.0000e-05 eta: 1 day, 16:03:32 time: 1.1099 data_time: 0.0314 memory: 32752 grad_norm: 44.5592 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 3.5720 loss: 3.5720 2022/07/29 12:34:18 - mmengine - INFO - Epoch(train) [1][1820/2505] lr: 5.0000e-05 eta: 1 day, 16:02:55 time: 0.9944 data_time: 0.0276 memory: 32752 grad_norm: 44.2870 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 3.6166 loss: 3.6166 2022/07/29 12:34:37 - mmengine - INFO - Epoch(train) [1][1840/2505] lr: 5.0000e-05 eta: 1 day, 16:00:59 time: 0.9429 data_time: 0.0853 memory: 32752 grad_norm: 47.9977 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 3.2229 loss: 3.2229 2022/07/29 12:34:58 - mmengine - INFO - Epoch(train) [1][1860/2505] lr: 5.0000e-05 eta: 1 day, 16:02:00 time: 1.0571 data_time: 0.0863 memory: 32752 grad_norm: 44.1883 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 3.6860 loss: 3.6860 2022/07/29 12:35:21 - mmengine - INFO - Epoch(train) [1][1880/2505] lr: 5.0000e-05 eta: 1 day, 16:04:50 time: 1.1293 data_time: 0.0300 memory: 32752 grad_norm: 45.3979 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 3.7775 loss: 3.7775 2022/07/29 12:35:42 - mmengine - INFO - Epoch(train) [1][1900/2505] lr: 5.0000e-05 eta: 1 day, 16:05:05 time: 1.0295 data_time: 0.0268 memory: 32752 grad_norm: 44.0859 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 3.5024 loss: 3.5024 2022/07/29 12:36:01 - mmengine - INFO - Epoch(train) [1][1920/2505] lr: 5.0000e-05 eta: 1 day, 16:04:29 time: 0.9955 data_time: 0.0284 memory: 32752 grad_norm: 44.9604 top1_acc: 0.0000 top5_acc: 0.1667 loss_cls: 3.7825 loss: 3.7825 2022/07/29 12:36:23 - mmengine - INFO - Epoch(train) [1][1940/2505] lr: 5.0000e-05 eta: 1 day, 16:05:37 time: 1.0664 data_time: 0.0275 memory: 32752 grad_norm: 46.4779 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 3.4941 loss: 3.4941 2022/07/29 12:36:44 - mmengine - INFO - Epoch(train) [1][1960/2505] lr: 5.0000e-05 eta: 1 day, 16:06:11 time: 1.0434 data_time: 0.0283 memory: 32752 grad_norm: 43.9194 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 3.6960 loss: 3.6960 2022/07/29 12:37:02 - mmengine - INFO - Epoch(train) [1][1980/2505] lr: 5.0000e-05 eta: 1 day, 16:03:36 time: 0.9144 data_time: 0.0315 memory: 32752 grad_norm: 45.5749 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 3.3773 loss: 3.3773 2022/07/29 12:37:23 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 12:37:23 - mmengine - INFO - Epoch(train) [1][2000/2505] lr: 5.0000e-05 eta: 1 day, 16:04:49 time: 1.0713 data_time: 0.0308 memory: 32752 grad_norm: 42.9423 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 3.3056 loss: 3.3056 2022/07/29 12:37:41 - mmengine - INFO - Epoch(train) [1][2020/2505] lr: 5.0000e-05 eta: 1 day, 16:01:32 time: 0.8820 data_time: 0.0400 memory: 32752 grad_norm: 46.8161 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 3.5105 loss: 3.5105 2022/07/29 12:38:03 - mmengine - INFO - Epoch(train) [1][2040/2505] lr: 5.0000e-05 eta: 1 day, 16:03:15 time: 1.0936 data_time: 0.0281 memory: 32752 grad_norm: 44.5690 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 3.5344 loss: 3.5344 2022/07/29 12:38:31 - mmengine - INFO - Epoch(train) [1][2060/2505] lr: 5.0000e-05 eta: 1 day, 16:11:39 time: 1.3839 data_time: 0.2692 memory: 32752 grad_norm: 46.0544 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 3.3534 loss: 3.3534 2022/07/29 12:38:53 - mmengine - INFO - Epoch(train) [1][2080/2505] lr: 5.0000e-05 eta: 1 day, 16:14:09 time: 1.1336 data_time: 0.1597 memory: 32752 grad_norm: 47.1297 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 3.4184 loss: 3.4184 2022/07/29 12:39:12 - mmengine - INFO - Epoch(train) [1][2100/2505] lr: 5.0000e-05 eta: 1 day, 16:11:49 time: 0.9240 data_time: 0.0700 memory: 32752 grad_norm: 45.9219 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 3.2616 loss: 3.2616 2022/07/29 12:39:34 - mmengine - INFO - Epoch(train) [1][2120/2505] lr: 5.0000e-05 eta: 1 day, 16:14:23 time: 1.1389 data_time: 0.0588 memory: 32752 grad_norm: 46.4263 top1_acc: 0.1667 top5_acc: 0.1667 loss_cls: 3.3864 loss: 3.3864 2022/07/29 12:39:53 - mmengine - INFO - Epoch(train) [1][2140/2505] lr: 5.0000e-05 eta: 1 day, 16:11:43 time: 0.9078 data_time: 0.0261 memory: 32752 grad_norm: 44.2753 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 3.4803 loss: 3.4803 2022/07/29 12:40:13 - mmengine - INFO - Epoch(train) [1][2160/2505] lr: 5.0000e-05 eta: 1 day, 16:11:34 time: 1.0190 data_time: 0.0290 memory: 32752 grad_norm: 43.8781 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.9601 loss: 2.9601 2022/07/29 12:40:32 - mmengine - INFO - Epoch(train) [1][2180/2505] lr: 5.0000e-05 eta: 1 day, 16:10:04 time: 0.9579 data_time: 0.0283 memory: 32752 grad_norm: 47.8841 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 3.4383 loss: 3.4383 2022/07/29 12:40:52 - mmengine - INFO - Epoch(train) [1][2200/2505] lr: 5.0000e-05 eta: 1 day, 16:09:12 time: 0.9861 data_time: 0.0301 memory: 32752 grad_norm: 43.9587 top1_acc: 0.1667 top5_acc: 0.5833 loss_cls: 3.1410 loss: 3.1410 2022/07/29 12:41:11 - mmengine - INFO - Epoch(train) [1][2220/2505] lr: 5.0000e-05 eta: 1 day, 16:07:49 time: 0.9613 data_time: 0.0274 memory: 32752 grad_norm: 48.4486 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 3.3989 loss: 3.3989 2022/07/29 12:41:31 - mmengine - INFO - Epoch(train) [1][2240/2505] lr: 5.0000e-05 eta: 1 day, 16:07:38 time: 1.0170 data_time: 0.0286 memory: 32752 grad_norm: 45.1145 top1_acc: 0.1667 top5_acc: 0.3333 loss_cls: 3.1407 loss: 3.1407 2022/07/29 12:41:51 - mmengine - INFO - Epoch(train) [1][2260/2505] lr: 5.0000e-05 eta: 1 day, 16:06:07 time: 0.9541 data_time: 0.0274 memory: 32752 grad_norm: 46.9444 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1963 loss: 3.1963 2022/07/29 12:42:10 - mmengine - INFO - Epoch(train) [1][2280/2505] lr: 5.0000e-05 eta: 1 day, 16:04:32 time: 0.9500 data_time: 0.0495 memory: 32752 grad_norm: 45.1001 top1_acc: 0.1667 top5_acc: 0.7500 loss_cls: 3.2166 loss: 3.2166 2022/07/29 12:42:29 - mmengine - INFO - Epoch(train) [1][2300/2505] lr: 5.0000e-05 eta: 1 day, 16:02:58 time: 0.9489 data_time: 0.0550 memory: 32752 grad_norm: 47.5945 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 3.2050 loss: 3.2050 2022/07/29 12:42:49 - mmengine - INFO - Epoch(train) [1][2320/2505] lr: 5.0000e-05 eta: 1 day, 16:02:50 time: 1.0189 data_time: 0.0247 memory: 32752 grad_norm: 46.7664 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.9721 loss: 2.9721 2022/07/29 12:43:11 - mmengine - INFO - Epoch(train) [1][2340/2505] lr: 5.0000e-05 eta: 1 day, 16:04:09 time: 1.0892 data_time: 0.0276 memory: 32752 grad_norm: 45.1502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0335 loss: 3.0335 2022/07/29 12:43:30 - mmengine - INFO - Epoch(train) [1][2360/2505] lr: 5.0000e-05 eta: 1 day, 16:02:42 time: 0.9542 data_time: 0.0310 memory: 32752 grad_norm: 44.9258 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1697 loss: 3.1697 2022/07/29 12:43:56 - mmengine - INFO - Epoch(train) [1][2380/2505] lr: 5.0000e-05 eta: 1 day, 16:08:40 time: 1.3236 data_time: 0.0796 memory: 32752 grad_norm: 49.0978 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 3.1725 loss: 3.1725 2022/07/29 12:44:09 - mmengine - INFO - Epoch(train) [1][2400/2505] lr: 5.0000e-05 eta: 1 day, 16:01:13 time: 0.6528 data_time: 0.0274 memory: 32752 grad_norm: 45.5288 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 3.0626 loss: 3.0626 2022/07/29 12:44:29 - mmengine - INFO - Epoch(train) [1][2420/2505] lr: 5.0000e-05 eta: 1 day, 16:00:55 time: 1.0100 data_time: 0.1161 memory: 32752 grad_norm: 45.4147 top1_acc: 0.1667 top5_acc: 0.4167 loss_cls: 3.0845 loss: 3.0845 2022/07/29 12:44:49 - mmengine - INFO - Epoch(train) [1][2440/2505] lr: 5.0000e-05 eta: 1 day, 15:59:49 time: 0.9694 data_time: 0.1997 memory: 32752 grad_norm: 48.6060 top1_acc: 0.1667 top5_acc: 0.5833 loss_cls: 3.3134 loss: 3.3134 2022/07/29 12:45:10 - mmengine - INFO - Epoch(train) [1][2460/2505] lr: 5.0000e-05 eta: 1 day, 16:00:34 time: 1.0639 data_time: 0.1976 memory: 32752 grad_norm: 45.1835 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1192 loss: 3.1192 2022/07/29 12:45:31 - mmengine - INFO - Epoch(train) [1][2480/2505] lr: 5.0000e-05 eta: 1 day, 16:00:28 time: 1.0208 data_time: 0.2669 memory: 32752 grad_norm: 46.9996 top1_acc: 0.1667 top5_acc: 0.6667 loss_cls: 3.0744 loss: 3.0744 2022/07/29 12:45:47 - mmengine - INFO - Epoch(train) [1][2500/2505] lr: 5.0000e-05 eta: 1 day, 15:56:29 time: 0.8163 data_time: 0.1415 memory: 32752 grad_norm: 45.9749 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.9848 loss: 2.9848 2022/07/29 12:46:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 12:46:14 - mmengine - INFO - Epoch(train) [1][2505/2505] lr: 5.0000e-05 eta: 1 day, 15:56:29 time: 2.0148 data_time: 0.1330 memory: 56557 grad_norm: 45.2960 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 3.0288 loss: 3.0288 2022/07/29 12:46:42 - mmengine - INFO - Epoch(train) [2][20/2505] lr: 8.0000e-05 eta: 1 day, 15:58:32 time: 1.3904 data_time: 0.5886 memory: 32752 grad_norm: 49.1888 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 3.1116 loss: 3.1116 2022/07/29 12:47:02 - mmengine - INFO - Epoch(train) [2][40/2505] lr: 8.0000e-05 eta: 1 day, 15:58:01 time: 0.9984 data_time: 0.0288 memory: 32752 grad_norm: 49.2888 top1_acc: 0.0833 top5_acc: 0.3333 loss_cls: 3.3311 loss: 3.3311 2022/07/29 12:47:21 - mmengine - INFO - Epoch(train) [2][60/2505] lr: 8.0000e-05 eta: 1 day, 15:57:02 time: 0.9732 data_time: 0.0302 memory: 32752 grad_norm: 48.0840 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 3.1900 loss: 3.1900 2022/07/29 12:47:40 - mmengine - INFO - Epoch(train) [2][80/2505] lr: 8.0000e-05 eta: 1 day, 15:55:36 time: 0.9476 data_time: 0.0264 memory: 32752 grad_norm: 44.8118 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 3.2575 loss: 3.2575 2022/07/29 12:48:04 - mmengine - INFO - Epoch(train) [2][100/2505] lr: 8.0000e-05 eta: 1 day, 15:58:44 time: 1.1977 data_time: 0.0979 memory: 32752 grad_norm: 44.9564 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.9384 loss: 2.9384 2022/07/29 12:48:24 - mmengine - INFO - Epoch(train) [2][120/2505] lr: 8.0000e-05 eta: 1 day, 15:57:47 time: 0.9746 data_time: 0.1777 memory: 32752 grad_norm: 44.9040 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.8328 loss: 2.8328 2022/07/29 12:48:45 - mmengine - INFO - Epoch(train) [2][140/2505] lr: 8.0000e-05 eta: 1 day, 15:58:27 time: 1.0637 data_time: 0.4621 memory: 32752 grad_norm: 44.6568 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7554 loss: 2.7554 2022/07/29 12:49:03 - mmengine - INFO - Epoch(train) [2][160/2505] lr: 8.0000e-05 eta: 1 day, 15:55:46 time: 0.8773 data_time: 0.2614 memory: 32752 grad_norm: 45.4313 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.8776 loss: 2.8776 2022/07/29 12:49:24 - mmengine - INFO - Epoch(train) [2][180/2505] lr: 8.0000e-05 eta: 1 day, 15:56:19 time: 1.0583 data_time: 0.4585 memory: 32752 grad_norm: 46.1276 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.8081 loss: 2.8081 2022/07/29 12:49:43 - mmengine - INFO - Epoch(train) [2][200/2505] lr: 8.0000e-05 eta: 1 day, 15:54:50 time: 0.9429 data_time: 0.3389 memory: 32752 grad_norm: 46.5543 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7853 loss: 2.7853 2022/07/29 12:50:01 - mmengine - INFO - Epoch(train) [2][220/2505] lr: 8.0000e-05 eta: 1 day, 15:52:35 time: 0.8976 data_time: 0.3024 memory: 32752 grad_norm: 44.4879 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 2.9085 loss: 2.9085 2022/07/29 12:50:20 - mmengine - INFO - Epoch(train) [2][240/2505] lr: 8.0000e-05 eta: 1 day, 15:51:11 time: 0.9456 data_time: 0.2080 memory: 32752 grad_norm: 47.1159 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.9733 loss: 2.9733 2022/07/29 12:50:39 - mmengine - INFO - Epoch(train) [2][260/2505] lr: 8.0000e-05 eta: 1 day, 15:50:39 time: 0.9952 data_time: 0.1270 memory: 32752 grad_norm: 46.5181 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.8357 loss: 2.8357 2022/07/29 12:51:00 - mmengine - INFO - Epoch(train) [2][280/2505] lr: 8.0000e-05 eta: 1 day, 15:50:30 time: 1.0173 data_time: 0.0448 memory: 32752 grad_norm: 47.5106 top1_acc: 0.1667 top5_acc: 0.6667 loss_cls: 3.0284 loss: 3.0284 2022/07/29 12:51:24 - mmengine - INFO - Epoch(train) [2][300/2505] lr: 8.0000e-05 eta: 1 day, 15:53:40 time: 1.2138 data_time: 0.0278 memory: 32752 grad_norm: 44.5877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6196 loss: 2.6196 2022/07/29 12:51:44 - mmengine - INFO - Epoch(train) [2][320/2505] lr: 8.0000e-05 eta: 1 day, 15:53:01 time: 0.9886 data_time: 0.0645 memory: 32752 grad_norm: 45.4707 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 3.0115 loss: 3.0115 2022/07/29 12:52:04 - mmengine - INFO - Epoch(train) [2][340/2505] lr: 8.0000e-05 eta: 1 day, 15:52:20 time: 0.9875 data_time: 0.2463 memory: 32752 grad_norm: 42.6479 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.6262 loss: 2.6262 2022/07/29 12:52:25 - mmengine - INFO - Epoch(train) [2][360/2505] lr: 8.0000e-05 eta: 1 day, 15:52:49 time: 1.0568 data_time: 0.0271 memory: 32752 grad_norm: 46.1977 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.9774 loss: 2.9774 2022/07/29 12:52:43 - mmengine - INFO - Epoch(train) [2][380/2505] lr: 8.0000e-05 eta: 1 day, 15:50:53 time: 0.9115 data_time: 0.0310 memory: 32752 grad_norm: 44.4384 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.7534 loss: 2.7534 2022/07/29 12:53:04 - mmengine - INFO - Epoch(train) [2][400/2505] lr: 8.0000e-05 eta: 1 day, 15:51:16 time: 1.0508 data_time: 0.0253 memory: 32752 grad_norm: 46.6563 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.7218 loss: 2.7218 2022/07/29 12:53:21 - mmengine - INFO - Epoch(train) [2][420/2505] lr: 8.0000e-05 eta: 1 day, 15:48:04 time: 0.8317 data_time: 0.0308 memory: 32752 grad_norm: 43.5799 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5525 loss: 2.5525 2022/07/29 12:53:42 - mmengine - INFO - Epoch(train) [2][440/2505] lr: 8.0000e-05 eta: 1 day, 15:48:32 time: 1.0559 data_time: 0.0579 memory: 32752 grad_norm: 45.8015 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.7216 loss: 2.7216 2022/07/29 12:54:00 - mmengine - INFO - Epoch(train) [2][460/2505] lr: 8.0000e-05 eta: 1 day, 15:46:48 time: 0.9194 data_time: 0.0289 memory: 32752 grad_norm: 43.4145 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.8039 loss: 2.8039 2022/07/29 12:54:21 - mmengine - INFO - Epoch(train) [2][480/2505] lr: 8.0000e-05 eta: 1 day, 15:46:59 time: 1.0395 data_time: 0.0301 memory: 32752 grad_norm: 44.0768 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7455 loss: 2.7455 2022/07/29 12:54:36 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 12:54:39 - mmengine - INFO - Epoch(train) [2][500/2505] lr: 8.0000e-05 eta: 1 day, 15:45:26 time: 0.9293 data_time: 0.0305 memory: 32752 grad_norm: 45.5090 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.9074 loss: 2.9074 2022/07/29 12:55:00 - mmengine - INFO - Epoch(train) [2][520/2505] lr: 8.0000e-05 eta: 1 day, 15:45:40 time: 1.0415 data_time: 0.0271 memory: 32752 grad_norm: 45.4094 top1_acc: 0.1667 top5_acc: 0.5000 loss_cls: 3.0220 loss: 3.0220 2022/07/29 12:55:19 - mmengine - INFO - Epoch(train) [2][540/2505] lr: 8.0000e-05 eta: 1 day, 15:44:18 time: 0.9401 data_time: 0.0284 memory: 32752 grad_norm: 46.4323 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 3.1083 loss: 3.1083 2022/07/29 12:55:40 - mmengine - INFO - Epoch(train) [2][560/2505] lr: 8.0000e-05 eta: 1 day, 15:44:32 time: 1.0431 data_time: 0.0281 memory: 32752 grad_norm: 42.9632 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.9440 loss: 2.9440 2022/07/29 12:55:59 - mmengine - INFO - Epoch(train) [2][580/2505] lr: 8.0000e-05 eta: 1 day, 15:43:39 time: 0.9692 data_time: 0.0287 memory: 32752 grad_norm: 48.6249 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.6724 loss: 2.6724 2022/07/29 12:56:20 - mmengine - INFO - Epoch(train) [2][600/2505] lr: 8.0000e-05 eta: 1 day, 15:43:25 time: 1.0128 data_time: 0.0283 memory: 32752 grad_norm: 43.5075 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.3752 loss: 2.3752 2022/07/29 12:56:37 - mmengine - INFO - Epoch(train) [2][620/2505] lr: 8.0000e-05 eta: 1 day, 15:40:52 time: 0.8604 data_time: 0.0283 memory: 32752 grad_norm: 46.5622 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.5096 loss: 2.5096 2022/07/29 12:57:00 - mmengine - INFO - Epoch(train) [2][640/2505] lr: 8.0000e-05 eta: 1 day, 15:42:59 time: 1.1672 data_time: 0.0469 memory: 32752 grad_norm: 44.8600 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.6038 loss: 2.6038 2022/07/29 12:57:21 - mmengine - INFO - Epoch(train) [2][660/2505] lr: 8.0000e-05 eta: 1 day, 15:43:13 time: 1.0440 data_time: 0.0273 memory: 32752 grad_norm: 44.8658 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.4548 loss: 2.4548 2022/07/29 12:57:41 - mmengine - INFO - Epoch(train) [2][680/2505] lr: 8.0000e-05 eta: 1 day, 15:43:02 time: 1.0165 data_time: 0.0272 memory: 32752 grad_norm: 46.3130 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.6826 loss: 2.6826 2022/07/29 12:57:59 - mmengine - INFO - Epoch(train) [2][700/2505] lr: 8.0000e-05 eta: 1 day, 15:41:09 time: 0.9016 data_time: 0.0263 memory: 32752 grad_norm: 43.8222 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.5869 loss: 2.5869 2022/07/29 12:58:20 - mmengine - INFO - Epoch(train) [2][720/2505] lr: 8.0000e-05 eta: 1 day, 15:41:25 time: 1.0462 data_time: 0.0284 memory: 32752 grad_norm: 44.0942 top1_acc: 0.4167 top5_acc: 0.4167 loss_cls: 2.5443 loss: 2.5443 2022/07/29 12:58:38 - mmengine - INFO - Epoch(train) [2][740/2505] lr: 8.0000e-05 eta: 1 day, 15:39:03 time: 0.8662 data_time: 0.0276 memory: 32752 grad_norm: 43.8174 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.5413 loss: 2.5413 2022/07/29 12:58:59 - mmengine - INFO - Epoch(train) [2][760/2505] lr: 8.0000e-05 eta: 1 day, 15:39:28 time: 1.0570 data_time: 0.0309 memory: 32752 grad_norm: 47.2313 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.8890 loss: 2.8890 2022/07/29 12:59:17 - mmengine - INFO - Epoch(train) [2][780/2505] lr: 8.0000e-05 eta: 1 day, 15:37:43 time: 0.9070 data_time: 0.0855 memory: 32752 grad_norm: 42.9456 top1_acc: 0.1667 top5_acc: 0.2500 loss_cls: 2.4792 loss: 2.4792 2022/07/29 12:59:40 - mmengine - INFO - Epoch(train) [2][800/2505] lr: 8.0000e-05 eta: 1 day, 15:39:40 time: 1.1641 data_time: 0.2223 memory: 32752 grad_norm: 43.4029 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.5112 loss: 2.5112 2022/07/29 13:00:02 - mmengine - INFO - Epoch(train) [2][820/2505] lr: 8.0000e-05 eta: 1 day, 15:40:48 time: 1.1089 data_time: 0.4130 memory: 32752 grad_norm: 45.6347 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.8086 loss: 2.8086 2022/07/29 13:00:23 - mmengine - INFO - Epoch(train) [2][840/2505] lr: 8.0000e-05 eta: 1 day, 15:40:57 time: 1.0409 data_time: 0.4278 memory: 32752 grad_norm: 43.8735 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.3249 loss: 2.3249 2022/07/29 13:00:42 - mmengine - INFO - Epoch(train) [2][860/2505] lr: 8.0000e-05 eta: 1 day, 15:39:31 time: 0.9281 data_time: 0.3013 memory: 32752 grad_norm: 43.3908 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.5507 loss: 2.5507 2022/07/29 13:01:01 - mmengine - INFO - Epoch(train) [2][880/2505] lr: 8.0000e-05 eta: 1 day, 15:38:48 time: 0.9780 data_time: 0.3201 memory: 32752 grad_norm: 43.5091 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.4962 loss: 2.4962 2022/07/29 13:01:20 - mmengine - INFO - Epoch(train) [2][900/2505] lr: 8.0000e-05 eta: 1 day, 15:37:36 time: 0.9442 data_time: 0.3282 memory: 32752 grad_norm: 43.8981 top1_acc: 0.4167 top5_acc: 0.4167 loss_cls: 2.8063 loss: 2.8063 2022/07/29 13:01:41 - mmengine - INFO - Epoch(train) [2][920/2505] lr: 8.0000e-05 eta: 1 day, 15:37:24 time: 1.0153 data_time: 0.4134 memory: 32752 grad_norm: 43.1058 top1_acc: 0.0833 top5_acc: 0.4167 loss_cls: 2.6733 loss: 2.6733 2022/07/29 13:02:00 - mmengine - INFO - Epoch(train) [2][940/2505] lr: 8.0000e-05 eta: 1 day, 15:36:31 time: 0.9658 data_time: 0.3645 memory: 32752 grad_norm: 43.9549 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.4544 loss: 2.4544 2022/07/29 13:02:18 - mmengine - INFO - Epoch(train) [2][960/2505] lr: 8.0000e-05 eta: 1 day, 15:35:01 time: 0.9194 data_time: 0.3282 memory: 32752 grad_norm: 43.8586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3708 loss: 2.3708 2022/07/29 13:02:39 - mmengine - INFO - Epoch(train) [2][980/2505] lr: 8.0000e-05 eta: 1 day, 15:35:16 time: 1.0486 data_time: 0.3210 memory: 32752 grad_norm: 44.5161 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.5350 loss: 2.5350 2022/07/29 13:02:58 - mmengine - INFO - Epoch(train) [2][1000/2505] lr: 8.0000e-05 eta: 1 day, 15:33:45 time: 0.9166 data_time: 0.3349 memory: 32752 grad_norm: 43.6340 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.3196 loss: 2.3196 2022/07/29 13:03:19 - mmengine - INFO - Epoch(train) [2][1020/2505] lr: 8.0000e-05 eta: 1 day, 15:34:22 time: 1.0759 data_time: 0.4173 memory: 32752 grad_norm: 43.5780 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.1691 loss: 2.1691 2022/07/29 13:03:40 - mmengine - INFO - Epoch(train) [2][1040/2505] lr: 8.0000e-05 eta: 1 day, 15:34:32 time: 1.0423 data_time: 0.3895 memory: 32752 grad_norm: 44.0448 top1_acc: 0.3333 top5_acc: 0.3333 loss_cls: 2.4021 loss: 2.4021 2022/07/29 13:04:00 - mmengine - INFO - Epoch(train) [2][1060/2505] lr: 8.0000e-05 eta: 1 day, 15:34:12 time: 1.0053 data_time: 0.1691 memory: 32752 grad_norm: 44.4735 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.4654 loss: 2.4654 2022/07/29 13:04:20 - mmengine - INFO - Epoch(train) [2][1080/2505] lr: 8.0000e-05 eta: 1 day, 15:34:04 time: 1.0207 data_time: 0.0813 memory: 32752 grad_norm: 44.8621 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 2.5949 loss: 2.5949 2022/07/29 13:04:38 - mmengine - INFO - Epoch(train) [2][1100/2505] lr: 8.0000e-05 eta: 1 day, 15:31:56 time: 0.8672 data_time: 0.0287 memory: 32752 grad_norm: 42.4343 top1_acc: 0.1667 top5_acc: 0.6667 loss_cls: 2.5824 loss: 2.5824 2022/07/29 13:04:58 - mmengine - INFO - Epoch(train) [2][1120/2505] lr: 8.0000e-05 eta: 1 day, 15:31:43 time: 1.0144 data_time: 0.0259 memory: 32752 grad_norm: 43.1637 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.2691 loss: 2.2691 2022/07/29 13:05:17 - mmengine - INFO - Epoch(train) [2][1140/2505] lr: 8.0000e-05 eta: 1 day, 15:30:47 time: 0.9577 data_time: 0.0302 memory: 32752 grad_norm: 44.0275 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.4991 loss: 2.4991 2022/07/29 13:05:38 - mmengine - INFO - Epoch(train) [2][1160/2505] lr: 8.0000e-05 eta: 1 day, 15:30:55 time: 1.0411 data_time: 0.1763 memory: 32752 grad_norm: 41.4509 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.4569 loss: 2.4569 2022/07/29 13:05:57 - mmengine - INFO - Epoch(train) [2][1180/2505] lr: 8.0000e-05 eta: 1 day, 15:29:52 time: 0.9479 data_time: 0.0277 memory: 32752 grad_norm: 42.5081 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4072 loss: 2.4072 2022/07/29 13:06:18 - mmengine - INFO - Epoch(train) [2][1200/2505] lr: 8.0000e-05 eta: 1 day, 15:30:17 time: 1.0629 data_time: 0.0615 memory: 32752 grad_norm: 43.1238 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.2945 loss: 2.2945 2022/07/29 13:06:35 - mmengine - INFO - Epoch(train) [2][1220/2505] lr: 8.0000e-05 eta: 1 day, 15:28:05 time: 0.8573 data_time: 0.0421 memory: 32752 grad_norm: 43.2741 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.4479 loss: 2.4479 2022/07/29 13:06:56 - mmengine - INFO - Epoch(train) [2][1240/2505] lr: 8.0000e-05 eta: 1 day, 15:27:52 time: 1.0134 data_time: 0.1815 memory: 32752 grad_norm: 43.6492 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.5906 loss: 2.5906 2022/07/29 13:07:15 - mmengine - INFO - Epoch(train) [2][1260/2505] lr: 8.0000e-05 eta: 1 day, 15:27:03 time: 0.9651 data_time: 0.1789 memory: 32752 grad_norm: 43.5208 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0844 loss: 2.0844 2022/07/29 13:07:35 - mmengine - INFO - Epoch(train) [2][1280/2505] lr: 8.0000e-05 eta: 1 day, 15:26:36 time: 0.9940 data_time: 0.2207 memory: 32752 grad_norm: 43.1329 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2871 loss: 2.2871 2022/07/29 13:07:54 - mmengine - INFO - Epoch(train) [2][1300/2505] lr: 8.0000e-05 eta: 1 day, 15:25:43 time: 0.9596 data_time: 0.2275 memory: 32752 grad_norm: 41.4859 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1073 loss: 2.1073 2022/07/29 13:08:14 - mmengine - INFO - Epoch(train) [2][1320/2505] lr: 8.0000e-05 eta: 1 day, 15:25:25 time: 1.0060 data_time: 0.1695 memory: 32752 grad_norm: 42.0356 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4000 loss: 2.4000 2022/07/29 13:08:34 - mmengine - INFO - Epoch(train) [2][1340/2505] lr: 8.0000e-05 eta: 1 day, 15:24:42 time: 0.9717 data_time: 0.1092 memory: 32752 grad_norm: 42.6879 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.5892 loss: 2.5892 2022/07/29 13:08:53 - mmengine - INFO - Epoch(train) [2][1360/2505] lr: 8.0000e-05 eta: 1 day, 15:23:45 time: 0.9527 data_time: 0.0399 memory: 32752 grad_norm: 42.0172 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5255 loss: 2.5255 2022/07/29 13:09:13 - mmengine - INFO - Epoch(train) [2][1380/2505] lr: 8.0000e-05 eta: 1 day, 15:23:30 time: 1.0100 data_time: 0.0352 memory: 32752 grad_norm: 40.6023 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.3416 loss: 2.3416 2022/07/29 13:09:31 - mmengine - INFO - Epoch(train) [2][1400/2505] lr: 8.0000e-05 eta: 1 day, 15:22:02 time: 0.9093 data_time: 0.0519 memory: 32752 grad_norm: 43.0258 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 2.2006 loss: 2.2006 2022/07/29 13:09:52 - mmengine - INFO - Epoch(train) [2][1420/2505] lr: 8.0000e-05 eta: 1 day, 15:22:28 time: 1.0665 data_time: 0.0963 memory: 32752 grad_norm: 41.6368 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.6613 loss: 2.6613 2022/07/29 13:10:11 - mmengine - INFO - Epoch(train) [2][1440/2505] lr: 8.0000e-05 eta: 1 day, 15:21:33 time: 0.9531 data_time: 0.0962 memory: 32752 grad_norm: 40.4109 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.4032 loss: 2.4032 2022/07/29 13:10:34 - mmengine - INFO - Epoch(train) [2][1460/2505] lr: 8.0000e-05 eta: 1 day, 15:22:58 time: 1.1511 data_time: 0.0805 memory: 32752 grad_norm: 41.6610 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.5758 loss: 2.5758 2022/07/29 13:10:51 - mmengine - INFO - Epoch(train) [2][1480/2505] lr: 8.0000e-05 eta: 1 day, 15:20:27 time: 0.8173 data_time: 0.0812 memory: 32752 grad_norm: 41.7696 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1512 loss: 2.1512 2022/07/29 13:11:05 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 13:11:12 - mmengine - INFO - Epoch(train) [2][1500/2505] lr: 8.0000e-05 eta: 1 day, 15:20:37 time: 1.0449 data_time: 0.3263 memory: 32752 grad_norm: 41.8623 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.3711 loss: 2.3711 2022/07/29 13:11:28 - mmengine - INFO - Epoch(train) [2][1520/2505] lr: 8.0000e-05 eta: 1 day, 15:18:16 time: 0.8303 data_time: 0.1939 memory: 32752 grad_norm: 42.5980 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.4935 loss: 2.4935 2022/07/29 13:11:51 - mmengine - INFO - Epoch(train) [2][1540/2505] lr: 8.0000e-05 eta: 1 day, 15:19:14 time: 1.1134 data_time: 0.3038 memory: 32752 grad_norm: 43.3483 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1858 loss: 2.1858 2022/07/29 13:12:09 - mmengine - INFO - Epoch(train) [2][1560/2505] lr: 8.0000e-05 eta: 1 day, 15:17:51 time: 0.9125 data_time: 0.0266 memory: 32752 grad_norm: 42.6858 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.3885 loss: 2.3885 2022/07/29 13:12:33 - mmengine - INFO - Epoch(train) [2][1580/2505] lr: 8.0000e-05 eta: 1 day, 15:19:40 time: 1.1877 data_time: 0.0301 memory: 32752 grad_norm: 42.5552 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.5029 loss: 2.5029 2022/07/29 13:12:50 - mmengine - INFO - Epoch(train) [2][1600/2505] lr: 8.0000e-05 eta: 1 day, 15:18:05 time: 0.8938 data_time: 0.0256 memory: 32752 grad_norm: 44.6952 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.2297 loss: 2.2297 2022/07/29 13:13:12 - mmengine - INFO - Epoch(train) [2][1620/2505] lr: 8.0000e-05 eta: 1 day, 15:18:33 time: 1.0720 data_time: 0.0289 memory: 32752 grad_norm: 42.2973 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2226 loss: 2.2226 2022/07/29 13:13:29 - mmengine - INFO - Epoch(train) [2][1640/2505] lr: 8.0000e-05 eta: 1 day, 15:16:44 time: 0.8721 data_time: 0.0287 memory: 32752 grad_norm: 44.8874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2795 loss: 2.2795 2022/07/29 13:13:52 - mmengine - INFO - Epoch(train) [2][1660/2505] lr: 8.0000e-05 eta: 1 day, 15:18:05 time: 1.1506 data_time: 0.0277 memory: 32752 grad_norm: 41.9055 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 2.1466 loss: 2.1466 2022/07/29 13:14:09 - mmengine - INFO - Epoch(train) [2][1680/2505] lr: 8.0000e-05 eta: 1 day, 15:15:37 time: 0.8135 data_time: 0.0270 memory: 32752 grad_norm: 40.6123 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.5041 loss: 2.5041 2022/07/29 13:14:29 - mmengine - INFO - Epoch(train) [2][1700/2505] lr: 8.0000e-05 eta: 1 day, 15:15:29 time: 1.0199 data_time: 0.0281 memory: 32752 grad_norm: 40.1940 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.3645 loss: 2.3645 2022/07/29 13:14:48 - mmengine - INFO - Epoch(train) [2][1720/2505] lr: 8.0000e-05 eta: 1 day, 15:14:32 time: 0.9464 data_time: 0.0346 memory: 32752 grad_norm: 40.6574 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.4111 loss: 2.4111 2022/07/29 13:15:10 - mmengine - INFO - Epoch(train) [2][1740/2505] lr: 8.0000e-05 eta: 1 day, 15:15:12 time: 1.0917 data_time: 0.0273 memory: 32752 grad_norm: 43.0198 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.2623 loss: 2.2623 2022/07/29 13:15:31 - mmengine - INFO - Epoch(train) [2][1760/2505] lr: 8.0000e-05 eta: 1 day, 15:15:33 time: 1.0641 data_time: 0.1454 memory: 32752 grad_norm: 40.2299 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.2899 loss: 2.2899 2022/07/29 13:15:50 - mmengine - INFO - Epoch(train) [2][1780/2505] lr: 8.0000e-05 eta: 1 day, 15:14:33 time: 0.9402 data_time: 0.1644 memory: 32752 grad_norm: 40.5629 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.1986 loss: 2.1986 2022/07/29 13:16:11 - mmengine - INFO - Epoch(train) [2][1800/2505] lr: 8.0000e-05 eta: 1 day, 15:14:33 time: 1.0337 data_time: 0.0287 memory: 32752 grad_norm: 41.6880 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.9937 loss: 1.9937 2022/07/29 13:16:29 - mmengine - INFO - Epoch(train) [2][1820/2505] lr: 8.0000e-05 eta: 1 day, 15:13:27 time: 0.9305 data_time: 0.0914 memory: 32752 grad_norm: 41.6809 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.2422 loss: 2.2422 2022/07/29 13:16:49 - mmengine - INFO - Epoch(train) [2][1840/2505] lr: 8.0000e-05 eta: 1 day, 15:13:11 time: 1.0080 data_time: 0.0262 memory: 32752 grad_norm: 41.9720 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.5661 loss: 2.5661 2022/07/29 13:17:09 - mmengine - INFO - Epoch(train) [2][1860/2505] lr: 8.0000e-05 eta: 1 day, 15:12:45 time: 0.9932 data_time: 0.0415 memory: 32752 grad_norm: 41.9422 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.3699 loss: 2.3699 2022/07/29 13:17:29 - mmengine - INFO - Epoch(train) [2][1880/2505] lr: 8.0000e-05 eta: 1 day, 15:12:18 time: 0.9899 data_time: 0.0411 memory: 32752 grad_norm: 41.5751 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.2676 loss: 2.2676 2022/07/29 13:17:49 - mmengine - INFO - Epoch(train) [2][1900/2505] lr: 8.0000e-05 eta: 1 day, 15:11:41 time: 0.9759 data_time: 0.0301 memory: 32752 grad_norm: 39.5700 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.2093 loss: 2.2093 2022/07/29 13:18:11 - mmengine - INFO - Epoch(train) [2][1920/2505] lr: 8.0000e-05 eta: 1 day, 15:12:38 time: 1.1229 data_time: 0.0400 memory: 32752 grad_norm: 41.8582 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.3925 loss: 2.3925 2022/07/29 13:18:30 - mmengine - INFO - Epoch(train) [2][1940/2505] lr: 8.0000e-05 eta: 1 day, 15:12:00 time: 0.9731 data_time: 0.0320 memory: 32752 grad_norm: 39.7783 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.3442 loss: 2.3442 2022/07/29 13:18:50 - mmengine - INFO - Epoch(train) [2][1960/2505] lr: 8.0000e-05 eta: 1 day, 15:11:13 time: 0.9592 data_time: 0.0315 memory: 32752 grad_norm: 40.0765 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0978 loss: 2.0978 2022/07/29 13:19:12 - mmengine - INFO - Epoch(train) [2][1980/2505] lr: 8.0000e-05 eta: 1 day, 15:12:05 time: 1.1167 data_time: 0.0272 memory: 32752 grad_norm: 40.8077 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.3036 loss: 2.3036 2022/07/29 13:19:28 - mmengine - INFO - Epoch(train) [2][2000/2505] lr: 8.0000e-05 eta: 1 day, 15:09:54 time: 0.8243 data_time: 0.0369 memory: 32752 grad_norm: 41.1684 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.1720 loss: 2.1720 2022/07/29 13:19:48 - mmengine - INFO - Epoch(train) [2][2020/2505] lr: 8.0000e-05 eta: 1 day, 15:09:32 time: 0.9991 data_time: 0.0289 memory: 32752 grad_norm: 41.6989 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9819 loss: 1.9819 2022/07/29 13:20:10 - mmengine - INFO - Epoch(train) [2][2040/2505] lr: 8.0000e-05 eta: 1 day, 15:09:49 time: 1.0602 data_time: 0.0275 memory: 32752 grad_norm: 41.5364 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.6805 loss: 2.6805 2022/07/29 13:20:28 - mmengine - INFO - Epoch(train) [2][2060/2505] lr: 8.0000e-05 eta: 1 day, 15:08:51 time: 0.9411 data_time: 0.0260 memory: 32752 grad_norm: 41.0801 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9670 loss: 1.9670 2022/07/29 13:20:49 - mmengine - INFO - Epoch(train) [2][2080/2505] lr: 8.0000e-05 eta: 1 day, 15:08:39 time: 1.0137 data_time: 0.0298 memory: 32752 grad_norm: 41.9613 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8397 loss: 1.8397 2022/07/29 13:21:06 - mmengine - INFO - Epoch(train) [2][2100/2505] lr: 8.0000e-05 eta: 1 day, 15:06:58 time: 0.8698 data_time: 0.0278 memory: 32752 grad_norm: 40.6934 top1_acc: 0.4167 top5_acc: 0.4167 loss_cls: 2.3409 loss: 2.3409 2022/07/29 13:21:27 - mmengine - INFO - Epoch(train) [2][2120/2505] lr: 8.0000e-05 eta: 1 day, 15:07:09 time: 1.0511 data_time: 0.0289 memory: 32752 grad_norm: 40.3720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1199 loss: 2.1199 2022/07/29 13:21:46 - mmengine - INFO - Epoch(train) [2][2140/2505] lr: 8.0000e-05 eta: 1 day, 15:06:02 time: 0.9247 data_time: 0.0315 memory: 32752 grad_norm: 40.4765 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.4628 loss: 2.4628 2022/07/29 13:22:05 - mmengine - INFO - Epoch(train) [2][2160/2505] lr: 8.0000e-05 eta: 1 day, 15:05:19 time: 0.9613 data_time: 0.0264 memory: 32752 grad_norm: 41.2254 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.1574 loss: 2.1574 2022/07/29 13:22:27 - mmengine - INFO - Epoch(train) [2][2180/2505] lr: 8.0000e-05 eta: 1 day, 15:06:01 time: 1.1041 data_time: 0.0265 memory: 32752 grad_norm: 40.7327 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.2697 loss: 2.2697 2022/07/29 13:22:47 - mmengine - INFO - Epoch(train) [2][2200/2505] lr: 8.0000e-05 eta: 1 day, 15:05:42 time: 1.0040 data_time: 0.0293 memory: 32752 grad_norm: 39.9509 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0853 loss: 2.0853 2022/07/29 13:23:06 - mmengine - INFO - Epoch(train) [2][2220/2505] lr: 8.0000e-05 eta: 1 day, 15:05:00 time: 0.9630 data_time: 0.0271 memory: 32752 grad_norm: 41.6858 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.3513 loss: 2.3513 2022/07/29 13:23:26 - mmengine - INFO - Epoch(train) [2][2240/2505] lr: 8.0000e-05 eta: 1 day, 15:04:19 time: 0.9665 data_time: 0.0256 memory: 32752 grad_norm: 39.9902 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0897 loss: 2.0897 2022/07/29 13:23:48 - mmengine - INFO - Epoch(train) [2][2260/2505] lr: 8.0000e-05 eta: 1 day, 15:05:01 time: 1.1053 data_time: 0.0317 memory: 32752 grad_norm: 41.0656 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.4527 loss: 2.4527 2022/07/29 13:24:10 - mmengine - INFO - Epoch(train) [2][2280/2505] lr: 8.0000e-05 eta: 1 day, 15:05:41 time: 1.1034 data_time: 0.0278 memory: 32752 grad_norm: 40.3054 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.1852 loss: 2.1852 2022/07/29 13:24:33 - mmengine - INFO - Epoch(train) [2][2300/2505] lr: 8.0000e-05 eta: 1 day, 15:06:41 time: 1.1383 data_time: 0.0276 memory: 32752 grad_norm: 40.7465 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.0898 loss: 2.0898 2022/07/29 13:24:53 - mmengine - INFO - Epoch(train) [2][2320/2505] lr: 8.0000e-05 eta: 1 day, 15:06:39 time: 1.0344 data_time: 0.0904 memory: 32752 grad_norm: 42.1365 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.3722 loss: 2.3722 2022/07/29 13:25:11 - mmengine - INFO - Epoch(train) [2][2340/2505] lr: 8.0000e-05 eta: 1 day, 15:05:24 time: 0.9076 data_time: 0.1184 memory: 32752 grad_norm: 41.1858 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0786 loss: 2.0786 2022/07/29 13:25:31 - mmengine - INFO - Epoch(train) [2][2360/2505] lr: 8.0000e-05 eta: 1 day, 15:05:03 time: 1.0005 data_time: 0.2368 memory: 32752 grad_norm: 40.2635 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.3520 loss: 2.3520 2022/07/29 13:25:50 - mmengine - INFO - Epoch(train) [2][2380/2505] lr: 8.0000e-05 eta: 1 day, 15:04:13 time: 0.9484 data_time: 0.2015 memory: 32752 grad_norm: 39.4781 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.4198 loss: 2.4198 2022/07/29 13:26:10 - mmengine - INFO - Epoch(train) [2][2400/2505] lr: 8.0000e-05 eta: 1 day, 15:03:50 time: 0.9972 data_time: 0.1372 memory: 32752 grad_norm: 41.5682 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4473 loss: 2.4473 2022/07/29 13:26:30 - mmengine - INFO - Epoch(train) [2][2420/2505] lr: 8.0000e-05 eta: 1 day, 15:03:22 time: 0.9882 data_time: 0.1320 memory: 32752 grad_norm: 38.7442 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.3732 loss: 2.3732 2022/07/29 13:26:50 - mmengine - INFO - Epoch(train) [2][2440/2505] lr: 8.0000e-05 eta: 1 day, 15:02:46 time: 0.9724 data_time: 0.1999 memory: 32752 grad_norm: 40.4217 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.4155 loss: 2.4155 2022/07/29 13:27:11 - mmengine - INFO - Epoch(train) [2][2460/2505] lr: 8.0000e-05 eta: 1 day, 15:03:03 time: 1.0680 data_time: 0.1472 memory: 32752 grad_norm: 40.4303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3295 loss: 2.3295 2022/07/29 13:27:28 - mmengine - INFO - Epoch(train) [2][2480/2505] lr: 8.0000e-05 eta: 1 day, 15:01:23 time: 0.8596 data_time: 0.0477 memory: 32752 grad_norm: 40.0913 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1340 loss: 2.1340 2022/07/29 13:27:43 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 13:27:46 - mmengine - INFO - Epoch(train) [2][2500/2505] lr: 8.0000e-05 eta: 1 day, 14:59:57 time: 0.8846 data_time: 0.0382 memory: 32752 grad_norm: 38.6904 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0822 loss: 2.0822 2022/07/29 13:27:49 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 13:27:49 - mmengine - INFO - Epoch(train) [2][2505/2505] lr: 8.0000e-05 eta: 1 day, 14:59:57 time: 0.7275 data_time: 0.0307 memory: 32752 grad_norm: 39.5848 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.0820 loss: 2.0820 2022/07/29 13:27:49 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/07/29 13:28:18 - mmengine - INFO - Epoch(train) [3][20/2505] lr: 1.1000e-04 eta: 1 day, 14:58:14 time: 1.1095 data_time: 0.5061 memory: 32752 grad_norm: 39.9180 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.3882 loss: 2.3882 2022/07/29 13:28:38 - mmengine - INFO - Epoch(train) [3][40/2505] lr: 1.1000e-04 eta: 1 day, 14:57:48 time: 0.9904 data_time: 0.3602 memory: 32752 grad_norm: 40.4540 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1215 loss: 2.1215 2022/07/29 13:29:00 - mmengine - INFO - Epoch(train) [3][60/2505] lr: 1.1000e-04 eta: 1 day, 14:58:26 time: 1.1051 data_time: 0.4911 memory: 32752 grad_norm: 40.2695 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.2055 loss: 2.2055 2022/07/29 13:29:19 - mmengine - INFO - Epoch(train) [3][80/2505] lr: 1.1000e-04 eta: 1 day, 14:57:59 time: 0.9886 data_time: 0.3747 memory: 32752 grad_norm: 40.6038 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.1224 loss: 2.1224 2022/07/29 13:29:39 - mmengine - INFO - Epoch(train) [3][100/2505] lr: 1.1000e-04 eta: 1 day, 14:57:24 time: 0.9732 data_time: 0.3704 memory: 32752 grad_norm: 38.6508 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0985 loss: 2.0985 2022/07/29 13:29:59 - mmengine - INFO - Epoch(train) [3][120/2505] lr: 1.1000e-04 eta: 1 day, 14:56:58 time: 0.9880 data_time: 0.0537 memory: 32752 grad_norm: 39.4746 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1122 loss: 2.1122 2022/07/29 13:30:22 - mmengine - INFO - Epoch(train) [3][140/2505] lr: 1.1000e-04 eta: 1 day, 14:58:03 time: 1.1571 data_time: 0.0281 memory: 32752 grad_norm: 39.5695 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 2.3310 loss: 2.3310 2022/07/29 13:30:39 - mmengine - INFO - Epoch(train) [3][160/2505] lr: 1.1000e-04 eta: 1 day, 14:56:19 time: 0.8454 data_time: 0.0284 memory: 32752 grad_norm: 38.6610 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.0636 loss: 2.0636 2022/07/29 13:31:00 - mmengine - INFO - Epoch(train) [3][180/2505] lr: 1.1000e-04 eta: 1 day, 14:56:28 time: 1.0559 data_time: 0.0274 memory: 32752 grad_norm: 40.5637 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0721 loss: 2.0721 2022/07/29 13:31:18 - mmengine - INFO - Epoch(train) [3][200/2505] lr: 1.1000e-04 eta: 1 day, 14:55:16 time: 0.9037 data_time: 0.0290 memory: 32752 grad_norm: 39.5692 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8932 loss: 1.8932 2022/07/29 13:31:39 - mmengine - INFO - Epoch(train) [3][220/2505] lr: 1.1000e-04 eta: 1 day, 14:55:17 time: 1.0384 data_time: 0.0268 memory: 32752 grad_norm: 40.8160 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0501 loss: 2.0501 2022/07/29 13:31:57 - mmengine - INFO - Epoch(train) [3][240/2505] lr: 1.1000e-04 eta: 1 day, 14:54:15 time: 0.9217 data_time: 0.0266 memory: 32752 grad_norm: 40.2318 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.4148 loss: 2.4148 2022/07/29 13:32:20 - mmengine - INFO - Epoch(train) [3][260/2505] lr: 1.1000e-04 eta: 1 day, 14:55:24 time: 1.1688 data_time: 0.0955 memory: 32752 grad_norm: 40.4304 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.2823 loss: 2.2823 2022/07/29 13:32:40 - mmengine - INFO - Epoch(train) [3][280/2505] lr: 1.1000e-04 eta: 1 day, 14:54:43 time: 0.9602 data_time: 0.0309 memory: 32752 grad_norm: 40.4311 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9750 loss: 1.9750 2022/07/29 13:33:01 - mmengine - INFO - Epoch(train) [3][300/2505] lr: 1.1000e-04 eta: 1 day, 14:54:56 time: 1.0644 data_time: 0.0290 memory: 32752 grad_norm: 39.4243 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0209 loss: 2.0209 2022/07/29 13:33:20 - mmengine - INFO - Epoch(train) [3][320/2505] lr: 1.1000e-04 eta: 1 day, 14:54:08 time: 0.9463 data_time: 0.0424 memory: 32752 grad_norm: 39.0548 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0909 loss: 2.0909 2022/07/29 13:33:40 - mmengine - INFO - Epoch(train) [3][340/2505] lr: 1.1000e-04 eta: 1 day, 14:53:47 time: 0.9982 data_time: 0.0288 memory: 32752 grad_norm: 38.1414 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2796 loss: 2.2796 2022/07/29 13:34:05 - mmengine - INFO - Epoch(train) [3][360/2505] lr: 1.1000e-04 eta: 1 day, 14:55:28 time: 1.2337 data_time: 0.0374 memory: 32752 grad_norm: 39.3128 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 2.2351 loss: 2.2351 2022/07/29 13:34:20 - mmengine - INFO - Epoch(train) [3][380/2505] lr: 1.1000e-04 eta: 1 day, 14:52:59 time: 0.7523 data_time: 0.0254 memory: 32752 grad_norm: 37.1490 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9193 loss: 1.9193 2022/07/29 13:34:39 - mmengine - INFO - Epoch(train) [3][400/2505] lr: 1.1000e-04 eta: 1 day, 14:52:12 time: 0.9498 data_time: 0.0308 memory: 32752 grad_norm: 39.8762 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.1502 loss: 2.1502 2022/07/29 13:34:57 - mmengine - INFO - Epoch(train) [3][420/2505] lr: 1.1000e-04 eta: 1 day, 14:51:18 time: 0.9333 data_time: 0.0286 memory: 32752 grad_norm: 38.4712 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1415 loss: 2.1415 2022/07/29 13:35:22 - mmengine - INFO - Epoch(train) [3][440/2505] lr: 1.1000e-04 eta: 1 day, 14:53:05 time: 1.2486 data_time: 0.0307 memory: 32752 grad_norm: 39.5221 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.1822 loss: 2.1822 2022/07/29 13:35:41 - mmengine - INFO - Epoch(train) [3][460/2505] lr: 1.1000e-04 eta: 1 day, 14:52:01 time: 0.9154 data_time: 0.0328 memory: 32752 grad_norm: 39.1834 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 2.0209 loss: 2.0209 2022/07/29 13:36:03 - mmengine - INFO - Epoch(train) [3][480/2505] lr: 1.1000e-04 eta: 1 day, 14:52:51 time: 1.1377 data_time: 0.0325 memory: 32752 grad_norm: 37.8889 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1611 loss: 2.1611 2022/07/29 13:36:22 - mmengine - INFO - Epoch(train) [3][500/2505] lr: 1.1000e-04 eta: 1 day, 14:51:53 time: 0.9263 data_time: 0.0270 memory: 32752 grad_norm: 38.7096 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9643 loss: 1.9643 2022/07/29 13:36:42 - mmengine - INFO - Epoch(train) [3][520/2505] lr: 1.1000e-04 eta: 1 day, 14:51:43 time: 1.0199 data_time: 0.0302 memory: 32752 grad_norm: 39.4212 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0364 loss: 2.0364 2022/07/29 13:37:00 - mmengine - INFO - Epoch(train) [3][540/2505] lr: 1.1000e-04 eta: 1 day, 14:50:33 time: 0.9030 data_time: 0.0283 memory: 32752 grad_norm: 39.2809 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.1354 loss: 2.1354 2022/07/29 13:37:20 - mmengine - INFO - Epoch(train) [3][560/2505] lr: 1.1000e-04 eta: 1 day, 14:50:16 time: 1.0069 data_time: 0.0263 memory: 32752 grad_norm: 39.6522 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1434 loss: 2.1434 2022/07/29 13:37:39 - mmengine - INFO - Epoch(train) [3][580/2505] lr: 1.1000e-04 eta: 1 day, 14:49:26 time: 0.9400 data_time: 0.0278 memory: 32752 grad_norm: 39.0880 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.2612 loss: 2.2612 2022/07/29 13:38:00 - mmengine - INFO - Epoch(train) [3][600/2505] lr: 1.1000e-04 eta: 1 day, 14:49:23 time: 1.0349 data_time: 0.0268 memory: 32752 grad_norm: 39.4303 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9537 loss: 1.9537 2022/07/29 13:38:21 - mmengine - INFO - Epoch(train) [3][620/2505] lr: 1.1000e-04 eta: 1 day, 14:49:38 time: 1.0700 data_time: 0.0446 memory: 32752 grad_norm: 39.2402 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.1101 loss: 2.1101 2022/07/29 13:38:49 - mmengine - INFO - Epoch(train) [3][640/2505] lr: 1.1000e-04 eta: 1 day, 14:52:37 time: 1.4034 data_time: 0.1837 memory: 32752 grad_norm: 37.0443 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0426 loss: 2.0426 2022/07/29 13:39:12 - mmengine - INFO - Epoch(train) [3][660/2505] lr: 1.1000e-04 eta: 1 day, 14:53:23 time: 1.1374 data_time: 0.0774 memory: 32752 grad_norm: 38.3224 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.1416 loss: 2.1416 2022/07/29 13:39:31 - mmengine - INFO - Epoch(train) [3][680/2505] lr: 1.1000e-04 eta: 1 day, 14:52:31 time: 0.9367 data_time: 0.0276 memory: 32752 grad_norm: 39.2165 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.2271 loss: 2.2271 2022/07/29 13:39:51 - mmengine - INFO - Epoch(train) [3][700/2505] lr: 1.1000e-04 eta: 1 day, 14:52:17 time: 1.0149 data_time: 0.0254 memory: 32752 grad_norm: 38.3158 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3045 loss: 2.3045 2022/07/29 13:40:11 - mmengine - INFO - Epoch(train) [3][720/2505] lr: 1.1000e-04 eta: 1 day, 14:51:44 time: 0.9766 data_time: 0.0314 memory: 32752 grad_norm: 41.3918 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.4175 loss: 2.4175 2022/07/29 13:40:30 - mmengine - INFO - Epoch(train) [3][740/2505] lr: 1.1000e-04 eta: 1 day, 14:51:08 time: 0.9693 data_time: 0.0255 memory: 32752 grad_norm: 39.5909 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.1412 loss: 2.1412 2022/07/29 13:40:50 - mmengine - INFO - Epoch(train) [3][760/2505] lr: 1.1000e-04 eta: 1 day, 14:50:44 time: 0.9941 data_time: 0.0288 memory: 32752 grad_norm: 38.2826 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 2.0394 loss: 2.0394 2022/07/29 13:41:09 - mmengine - INFO - Epoch(train) [3][780/2505] lr: 1.1000e-04 eta: 1 day, 14:49:59 time: 0.9513 data_time: 0.0262 memory: 32752 grad_norm: 39.4562 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9714 loss: 1.9714 2022/07/29 13:41:29 - mmengine - INFO - Epoch(train) [3][800/2505] lr: 1.1000e-04 eta: 1 day, 14:49:39 time: 1.0018 data_time: 0.0282 memory: 32752 grad_norm: 38.6983 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1519 loss: 2.1519 2022/07/29 13:41:47 - mmengine - INFO - Epoch(train) [3][820/2505] lr: 1.1000e-04 eta: 1 day, 14:48:28 time: 0.8960 data_time: 0.0289 memory: 32752 grad_norm: 37.8624 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.2572 loss: 2.2572 2022/07/29 13:42:08 - mmengine - INFO - Epoch(train) [3][840/2505] lr: 1.1000e-04 eta: 1 day, 14:48:27 time: 1.0406 data_time: 0.0290 memory: 32752 grad_norm: 38.4820 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1242 loss: 2.1242 2022/07/29 13:42:27 - mmengine - INFO - Epoch(train) [3][860/2505] lr: 1.1000e-04 eta: 1 day, 14:47:47 time: 0.9598 data_time: 0.0268 memory: 32752 grad_norm: 37.6394 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.5194 loss: 2.5194 2022/07/29 13:42:48 - mmengine - INFO - Epoch(train) [3][880/2505] lr: 1.1000e-04 eta: 1 day, 14:47:47 time: 1.0442 data_time: 0.0330 memory: 32752 grad_norm: 36.1717 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9684 loss: 1.9684 2022/07/29 13:43:07 - mmengine - INFO - Epoch(train) [3][900/2505] lr: 1.1000e-04 eta: 1 day, 14:47:04 time: 0.9539 data_time: 0.0258 memory: 32752 grad_norm: 37.3969 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0182 loss: 2.0182 2022/07/29 13:43:27 - mmengine - INFO - Epoch(train) [3][920/2505] lr: 1.1000e-04 eta: 1 day, 14:46:46 time: 1.0064 data_time: 0.0291 memory: 32752 grad_norm: 37.1710 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.1532 loss: 2.1532 2022/07/29 13:43:46 - mmengine - INFO - Epoch(train) [3][940/2505] lr: 1.1000e-04 eta: 1 day, 14:45:55 time: 0.9347 data_time: 0.0284 memory: 32752 grad_norm: 37.3865 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.1289 loss: 2.1289 2022/07/29 13:44:06 - mmengine - INFO - Epoch(train) [3][960/2505] lr: 1.1000e-04 eta: 1 day, 14:45:35 time: 1.0036 data_time: 0.0322 memory: 32752 grad_norm: 37.8198 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0920 loss: 2.0920 2022/07/29 13:44:24 - mmengine - INFO - Epoch(train) [3][980/2505] lr: 1.1000e-04 eta: 1 day, 14:44:31 time: 0.9067 data_time: 0.0271 memory: 32752 grad_norm: 36.8033 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.2675 loss: 2.2675 2022/07/29 13:44:36 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 13:44:46 - mmengine - INFO - Epoch(train) [3][1000/2505] lr: 1.1000e-04 eta: 1 day, 14:44:52 time: 1.0892 data_time: 0.0322 memory: 32752 grad_norm: 37.0219 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.9112 loss: 1.9112 2022/07/29 13:45:04 - mmengine - INFO - Epoch(train) [3][1020/2505] lr: 1.1000e-04 eta: 1 day, 14:43:59 time: 0.9298 data_time: 0.0328 memory: 32752 grad_norm: 38.3828 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9256 loss: 1.9256 2022/07/29 13:45:25 - mmengine - INFO - Epoch(train) [3][1040/2505] lr: 1.1000e-04 eta: 1 day, 14:43:45 time: 1.0143 data_time: 0.0291 memory: 32752 grad_norm: 37.0494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0445 loss: 2.0445 2022/07/29 13:45:41 - mmengine - INFO - Epoch(train) [3][1060/2505] lr: 1.1000e-04 eta: 1 day, 14:42:04 time: 0.8248 data_time: 0.0299 memory: 32752 grad_norm: 37.3388 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0411 loss: 2.0411 2022/07/29 13:46:03 - mmengine - INFO - Epoch(train) [3][1080/2505] lr: 1.1000e-04 eta: 1 day, 14:42:16 time: 1.0705 data_time: 0.0261 memory: 32752 grad_norm: 39.0320 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.0120 loss: 2.0120 2022/07/29 13:46:21 - mmengine - INFO - Epoch(train) [3][1100/2505] lr: 1.1000e-04 eta: 1 day, 14:41:27 time: 0.9370 data_time: 0.0438 memory: 32752 grad_norm: 36.8825 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1811 loss: 2.1811 2022/07/29 13:46:41 - mmengine - INFO - Epoch(train) [3][1120/2505] lr: 1.1000e-04 eta: 1 day, 14:40:54 time: 0.9737 data_time: 0.0294 memory: 32752 grad_norm: 39.9058 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.1976 loss: 2.1976 2022/07/29 13:47:02 - mmengine - INFO - Epoch(train) [3][1140/2505] lr: 1.1000e-04 eta: 1 day, 14:41:12 time: 1.0844 data_time: 0.0411 memory: 32752 grad_norm: 37.8621 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9622 loss: 1.9622 2022/07/29 13:47:22 - mmengine - INFO - Epoch(train) [3][1160/2505] lr: 1.1000e-04 eta: 1 day, 14:40:52 time: 1.0007 data_time: 0.0655 memory: 32752 grad_norm: 37.8574 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.1679 loss: 2.1679 2022/07/29 13:47:42 - mmengine - INFO - Epoch(train) [3][1180/2505] lr: 1.1000e-04 eta: 1 day, 14:40:26 time: 0.9884 data_time: 0.1359 memory: 32752 grad_norm: 36.1814 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 2.4318 loss: 2.4318 2022/07/29 13:48:01 - mmengine - INFO - Epoch(train) [3][1200/2505] lr: 1.1000e-04 eta: 1 day, 14:39:49 time: 0.9624 data_time: 0.1361 memory: 32752 grad_norm: 36.3720 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.4676 loss: 2.4676 2022/07/29 13:48:25 - mmengine - INFO - Epoch(train) [3][1220/2505] lr: 1.1000e-04 eta: 1 day, 14:40:36 time: 1.1504 data_time: 0.0823 memory: 32752 grad_norm: 37.2502 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0284 loss: 2.0284 2022/07/29 13:48:44 - mmengine - INFO - Epoch(train) [3][1240/2505] lr: 1.1000e-04 eta: 1 day, 14:40:10 time: 0.9893 data_time: 0.0566 memory: 32752 grad_norm: 38.2636 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4272 loss: 2.4272 2022/07/29 13:49:05 - mmengine - INFO - Epoch(train) [3][1260/2505] lr: 1.1000e-04 eta: 1 day, 14:40:17 time: 1.0621 data_time: 0.0348 memory: 32752 grad_norm: 38.6934 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8646 loss: 1.8646 2022/07/29 13:49:26 - mmengine - INFO - Epoch(train) [3][1280/2505] lr: 1.1000e-04 eta: 1 day, 14:40:19 time: 1.0491 data_time: 0.0259 memory: 32752 grad_norm: 37.2054 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.1498 loss: 2.1498 2022/07/29 13:49:51 - mmengine - INFO - Epoch(train) [3][1300/2505] lr: 1.1000e-04 eta: 1 day, 14:41:29 time: 1.2067 data_time: 0.0291 memory: 32752 grad_norm: 36.9596 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9503 loss: 1.9503 2022/07/29 13:50:10 - mmengine - INFO - Epoch(train) [3][1320/2505] lr: 1.1000e-04 eta: 1 day, 14:41:04 time: 0.9916 data_time: 0.0430 memory: 32752 grad_norm: 36.8400 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.1988 loss: 2.1988 2022/07/29 13:50:31 - mmengine - INFO - Epoch(train) [3][1340/2505] lr: 1.1000e-04 eta: 1 day, 14:40:54 time: 1.0249 data_time: 0.0311 memory: 32752 grad_norm: 38.3284 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.2063 loss: 2.2063 2022/07/29 13:50:48 - mmengine - INFO - Epoch(train) [3][1360/2505] lr: 1.1000e-04 eta: 1 day, 14:39:37 time: 0.8723 data_time: 0.0313 memory: 32752 grad_norm: 37.5508 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0420 loss: 2.0420 2022/07/29 13:51:10 - mmengine - INFO - Epoch(train) [3][1380/2505] lr: 1.1000e-04 eta: 1 day, 14:40:01 time: 1.1020 data_time: 0.0319 memory: 32752 grad_norm: 36.5763 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0915 loss: 2.0915 2022/07/29 13:51:36 - mmengine - INFO - Epoch(train) [3][1400/2505] lr: 1.1000e-04 eta: 1 day, 14:41:37 time: 1.2699 data_time: 0.0318 memory: 32752 grad_norm: 36.4310 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9596 loss: 1.9596 2022/07/29 13:51:59 - mmengine - INFO - Epoch(train) [3][1420/2505] lr: 1.1000e-04 eta: 1 day, 14:42:21 time: 1.1510 data_time: 0.0281 memory: 32752 grad_norm: 37.0052 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.0461 loss: 2.0461 2022/07/29 13:52:18 - mmengine - INFO - Epoch(train) [3][1440/2505] lr: 1.1000e-04 eta: 1 day, 14:41:48 time: 0.9753 data_time: 0.0357 memory: 32752 grad_norm: 36.4276 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.8739 loss: 1.8739 2022/07/29 13:52:40 - mmengine - INFO - Epoch(train) [3][1460/2505] lr: 1.1000e-04 eta: 1 day, 14:41:57 time: 1.0700 data_time: 0.0292 memory: 32752 grad_norm: 37.5540 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1619 loss: 2.1619 2022/07/29 13:52:57 - mmengine - INFO - Epoch(train) [3][1480/2505] lr: 1.1000e-04 eta: 1 day, 14:40:32 time: 0.8507 data_time: 0.0561 memory: 32752 grad_norm: 37.6299 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2688 loss: 2.2688 2022/07/29 13:53:17 - mmengine - INFO - Epoch(train) [3][1500/2505] lr: 1.1000e-04 eta: 1 day, 14:40:22 time: 1.0285 data_time: 0.0290 memory: 32752 grad_norm: 35.0202 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9995 loss: 1.9995 2022/07/29 13:53:51 - mmengine - INFO - Epoch(train) [3][1520/2505] lr: 1.1000e-04 eta: 1 day, 14:44:55 time: 1.6924 data_time: 0.0699 memory: 32752 grad_norm: 36.2697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1059 loss: 2.1059 2022/07/29 13:54:09 - mmengine - INFO - Epoch(train) [3][1540/2505] lr: 1.1000e-04 eta: 1 day, 14:43:52 time: 0.9046 data_time: 0.0284 memory: 32752 grad_norm: 35.0993 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0573 loss: 2.0573 2022/07/29 13:54:30 - mmengine - INFO - Epoch(train) [3][1560/2505] lr: 1.1000e-04 eta: 1 day, 14:43:37 time: 1.0160 data_time: 0.0369 memory: 32752 grad_norm: 36.5259 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0870 loss: 2.0870 2022/07/29 13:54:51 - mmengine - INFO - Epoch(train) [3][1580/2505] lr: 1.1000e-04 eta: 1 day, 14:43:42 time: 1.0656 data_time: 0.1441 memory: 32752 grad_norm: 36.9816 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6923 loss: 1.6923 2022/07/29 13:55:11 - mmengine - INFO - Epoch(train) [3][1600/2505] lr: 1.1000e-04 eta: 1 day, 14:43:16 time: 0.9915 data_time: 0.0652 memory: 32752 grad_norm: 37.9587 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.9757 loss: 1.9757 2022/07/29 13:55:31 - mmengine - INFO - Epoch(train) [3][1620/2505] lr: 1.1000e-04 eta: 1 day, 14:43:07 time: 1.0307 data_time: 0.2104 memory: 32752 grad_norm: 36.5204 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8606 loss: 1.8606 2022/07/29 13:55:56 - mmengine - INFO - Epoch(train) [3][1640/2505] lr: 1.1000e-04 eta: 1 day, 14:44:13 time: 1.2119 data_time: 0.4320 memory: 32752 grad_norm: 37.1032 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9957 loss: 1.9957 2022/07/29 13:56:13 - mmengine - INFO - Epoch(train) [3][1660/2505] lr: 1.1000e-04 eta: 1 day, 14:42:55 time: 0.8654 data_time: 0.1372 memory: 32752 grad_norm: 36.5491 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.1363 loss: 2.1363 2022/07/29 13:56:37 - mmengine - INFO - Epoch(train) [3][1680/2505] lr: 1.1000e-04 eta: 1 day, 14:43:55 time: 1.1987 data_time: 0.4311 memory: 32752 grad_norm: 36.6400 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0894 loss: 2.0894 2022/07/29 13:56:54 - mmengine - INFO - Epoch(train) [3][1700/2505] lr: 1.1000e-04 eta: 1 day, 14:42:27 time: 0.8432 data_time: 0.2738 memory: 32752 grad_norm: 35.7105 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8345 loss: 1.8345 2022/07/29 13:57:18 - mmengine - INFO - Epoch(train) [3][1720/2505] lr: 1.1000e-04 eta: 1 day, 14:43:33 time: 1.2142 data_time: 0.5929 memory: 32752 grad_norm: 35.9014 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 2.0252 loss: 2.0252 2022/07/29 13:57:37 - mmengine - INFO - Epoch(train) [3][1740/2505] lr: 1.1000e-04 eta: 1 day, 14:42:49 time: 0.9475 data_time: 0.2619 memory: 32752 grad_norm: 36.2723 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.9401 loss: 1.9401 2022/07/29 13:57:59 - mmengine - INFO - Epoch(train) [3][1760/2505] lr: 1.1000e-04 eta: 1 day, 14:43:07 time: 1.1006 data_time: 0.2265 memory: 32752 grad_norm: 35.3336 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.3324 loss: 2.3324 2022/07/29 13:58:22 - mmengine - INFO - Epoch(train) [3][1780/2505] lr: 1.1000e-04 eta: 1 day, 14:43:42 time: 1.1404 data_time: 0.0701 memory: 32752 grad_norm: 35.5848 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8629 loss: 1.8629 2022/07/29 13:58:47 - mmengine - INFO - Epoch(train) [3][1800/2505] lr: 1.1000e-04 eta: 1 day, 14:44:56 time: 1.2374 data_time: 0.3610 memory: 32752 grad_norm: 36.8432 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0151 loss: 2.0151 2022/07/29 13:59:09 - mmengine - INFO - Epoch(train) [3][1820/2505] lr: 1.1000e-04 eta: 1 day, 14:45:26 time: 1.1313 data_time: 0.1321 memory: 32752 grad_norm: 36.1036 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 2.4044 loss: 2.4044 2022/07/29 13:59:33 - mmengine - INFO - Epoch(train) [3][1840/2505] lr: 1.1000e-04 eta: 1 day, 14:46:11 time: 1.1691 data_time: 0.0717 memory: 32752 grad_norm: 37.1976 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0718 loss: 2.0718 2022/07/29 13:59:52 - mmengine - INFO - Epoch(train) [3][1860/2505] lr: 1.1000e-04 eta: 1 day, 14:45:29 time: 0.9537 data_time: 0.0317 memory: 32752 grad_norm: 35.4660 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8065 loss: 1.8065 2022/07/29 14:00:23 - mmengine - INFO - Epoch(train) [3][1880/2505] lr: 1.1000e-04 eta: 1 day, 14:48:58 time: 1.5783 data_time: 0.0649 memory: 32752 grad_norm: 35.1354 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9974 loss: 1.9974 2022/07/29 14:00:38 - mmengine - INFO - Epoch(train) [3][1900/2505] lr: 1.1000e-04 eta: 1 day, 14:46:43 time: 0.7231 data_time: 0.0292 memory: 32752 grad_norm: 37.1905 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1208 loss: 2.1208 2022/07/29 14:01:03 - mmengine - INFO - Epoch(train) [3][1920/2505] lr: 1.1000e-04 eta: 1 day, 14:48:03 time: 1.2598 data_time: 0.1436 memory: 32752 grad_norm: 35.5162 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.0536 loss: 2.0536 2022/07/29 14:01:28 - mmengine - INFO - Epoch(train) [3][1940/2505] lr: 1.1000e-04 eta: 1 day, 14:49:10 time: 1.2299 data_time: 0.0459 memory: 32752 grad_norm: 35.8494 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.1202 loss: 2.1202 2022/07/29 14:01:51 - mmengine - INFO - Epoch(train) [3][1960/2505] lr: 1.1000e-04 eta: 1 day, 14:49:58 time: 1.1807 data_time: 0.0576 memory: 32752 grad_norm: 35.4543 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0829 loss: 2.0829 2022/07/29 14:02:11 - mmengine - INFO - Epoch(train) [3][1980/2505] lr: 1.1000e-04 eta: 1 day, 14:49:31 time: 0.9939 data_time: 0.0310 memory: 32752 grad_norm: 36.0505 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8901 loss: 1.8901 2022/07/29 14:02:25 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 14:02:34 - mmengine - INFO - Epoch(train) [3][2000/2505] lr: 1.1000e-04 eta: 1 day, 14:49:58 time: 1.1314 data_time: 0.0494 memory: 32752 grad_norm: 35.4941 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9785 loss: 1.9785 2022/07/29 14:02:54 - mmengine - INFO - Epoch(train) [3][2020/2505] lr: 1.1000e-04 eta: 1 day, 14:49:48 time: 1.0359 data_time: 0.0843 memory: 32752 grad_norm: 35.8547 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0290 loss: 2.0290 2022/07/29 14:03:14 - mmengine - INFO - Epoch(train) [3][2040/2505] lr: 1.1000e-04 eta: 1 day, 14:49:12 time: 0.9711 data_time: 0.1538 memory: 32752 grad_norm: 35.7196 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 2.0673 loss: 2.0673 2022/07/29 14:03:34 - mmengine - INFO - Epoch(train) [3][2060/2505] lr: 1.1000e-04 eta: 1 day, 14:48:57 time: 1.0236 data_time: 0.2283 memory: 32752 grad_norm: 36.2578 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8082 loss: 1.8082 2022/07/29 14:03:53 - mmengine - INFO - Epoch(train) [3][2080/2505] lr: 1.1000e-04 eta: 1 day, 14:48:00 time: 0.9178 data_time: 0.0797 memory: 32752 grad_norm: 35.8301 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8242 loss: 1.8242 2022/07/29 14:04:15 - mmengine - INFO - Epoch(train) [3][2100/2505] lr: 1.1000e-04 eta: 1 day, 14:48:26 time: 1.1301 data_time: 0.0294 memory: 32752 grad_norm: 35.6452 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9280 loss: 1.9280 2022/07/29 14:04:31 - mmengine - INFO - Epoch(train) [3][2120/2505] lr: 1.1000e-04 eta: 1 day, 14:46:43 time: 0.7973 data_time: 0.0283 memory: 32752 grad_norm: 36.7714 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.1226 loss: 2.1226 2022/07/29 14:04:51 - mmengine - INFO - Epoch(train) [3][2140/2505] lr: 1.1000e-04 eta: 1 day, 14:46:24 time: 1.0123 data_time: 0.0457 memory: 32752 grad_norm: 36.3680 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.9069 loss: 1.9069 2022/07/29 14:05:10 - mmengine - INFO - Epoch(train) [3][2160/2505] lr: 1.1000e-04 eta: 1 day, 14:45:35 time: 0.9354 data_time: 0.0336 memory: 32752 grad_norm: 36.5182 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9043 loss: 1.9043 2022/07/29 14:05:34 - mmengine - INFO - Epoch(train) [3][2180/2505] lr: 1.1000e-04 eta: 1 day, 14:46:21 time: 1.1819 data_time: 0.1574 memory: 32752 grad_norm: 35.2825 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.1491 loss: 2.1491 2022/07/29 14:05:51 - mmengine - INFO - Epoch(train) [3][2200/2505] lr: 1.1000e-04 eta: 1 day, 14:45:02 time: 0.8576 data_time: 0.0283 memory: 32752 grad_norm: 35.5734 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1637 loss: 2.1637 2022/07/29 14:06:12 - mmengine - INFO - Epoch(train) [3][2220/2505] lr: 1.1000e-04 eta: 1 day, 14:44:50 time: 1.0323 data_time: 0.0263 memory: 32752 grad_norm: 36.8207 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9792 loss: 1.9792 2022/07/29 14:06:31 - mmengine - INFO - Epoch(train) [3][2240/2505] lr: 1.1000e-04 eta: 1 day, 14:44:22 time: 0.9908 data_time: 0.0303 memory: 32752 grad_norm: 37.4773 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9437 loss: 1.9437 2022/07/29 14:06:50 - mmengine - INFO - Epoch(train) [3][2260/2505] lr: 1.1000e-04 eta: 1 day, 14:43:28 time: 0.9221 data_time: 0.0284 memory: 32752 grad_norm: 35.7910 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.2853 loss: 2.2853 2022/07/29 14:07:10 - mmengine - INFO - Epoch(train) [3][2280/2505] lr: 1.1000e-04 eta: 1 day, 14:43:14 time: 1.0241 data_time: 0.0342 memory: 32752 grad_norm: 36.5346 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8222 loss: 1.8222 2022/07/29 14:07:30 - mmengine - INFO - Epoch(train) [3][2300/2505] lr: 1.1000e-04 eta: 1 day, 14:42:49 time: 0.9975 data_time: 0.0295 memory: 32752 grad_norm: 35.5028 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9554 loss: 1.9554 2022/07/29 14:07:50 - mmengine - INFO - Epoch(train) [3][2320/2505] lr: 1.1000e-04 eta: 1 day, 14:42:23 time: 0.9960 data_time: 0.0382 memory: 32752 grad_norm: 36.2904 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0301 loss: 2.0301 2022/07/29 14:08:10 - mmengine - INFO - Epoch(train) [3][2340/2505] lr: 1.1000e-04 eta: 1 day, 14:42:06 time: 1.0182 data_time: 0.1223 memory: 32752 grad_norm: 35.0660 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8186 loss: 1.8186 2022/07/29 14:08:30 - mmengine - INFO - Epoch(train) [3][2360/2505] lr: 1.1000e-04 eta: 1 day, 14:41:33 time: 0.9748 data_time: 0.1147 memory: 32752 grad_norm: 35.9052 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8210 loss: 1.8210 2022/07/29 14:08:54 - mmengine - INFO - Epoch(train) [3][2380/2505] lr: 1.1000e-04 eta: 1 day, 14:42:18 time: 1.1861 data_time: 0.1636 memory: 32752 grad_norm: 35.4937 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9950 loss: 1.9950 2022/07/29 14:09:11 - mmengine - INFO - Epoch(train) [3][2400/2505] lr: 1.1000e-04 eta: 1 day, 14:40:59 time: 0.8519 data_time: 0.0326 memory: 32752 grad_norm: 36.4037 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.1240 loss: 2.1240 2022/07/29 14:09:32 - mmengine - INFO - Epoch(train) [3][2420/2505] lr: 1.1000e-04 eta: 1 day, 14:40:54 time: 1.0498 data_time: 0.0322 memory: 32752 grad_norm: 35.5987 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.0802 loss: 2.0802 2022/07/29 14:09:59 - mmengine - INFO - Epoch(train) [3][2440/2505] lr: 1.1000e-04 eta: 1 day, 14:42:43 time: 1.3607 data_time: 0.1345 memory: 32752 grad_norm: 36.1286 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.8770 loss: 1.8770 2022/07/29 14:10:18 - mmengine - INFO - Epoch(train) [3][2460/2505] lr: 1.1000e-04 eta: 1 day, 14:42:00 time: 0.9485 data_time: 0.0327 memory: 32752 grad_norm: 36.5658 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7888 loss: 1.7888 2022/07/29 14:10:36 - mmengine - INFO - Epoch(train) [3][2480/2505] lr: 1.1000e-04 eta: 1 day, 14:40:57 time: 0.8959 data_time: 0.0609 memory: 32752 grad_norm: 36.3739 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8431 loss: 1.8431 2022/07/29 14:10:55 - mmengine - INFO - Epoch(train) [3][2500/2505] lr: 1.1000e-04 eta: 1 day, 14:40:20 time: 0.9634 data_time: 0.0756 memory: 32752 grad_norm: 35.7211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1936 loss: 2.1936 2022/07/29 14:10:58 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 14:10:58 - mmengine - INFO - Epoch(train) [3][2505/2505] lr: 1.1000e-04 eta: 1 day, 14:40:20 time: 0.7549 data_time: 0.0382 memory: 32752 grad_norm: 36.1217 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.2100 loss: 2.2100 2022/07/29 14:11:12 - mmengine - INFO - Epoch(val) [3][20/2475] eta: 0:27:41 time: 0.6766 data_time: 0.2162 memory: 37418 2022/07/29 14:11:12 - mmengine - INFO - Epoch(val) [3][40/2475] eta: 0:01:24 time: 0.0348 data_time: 0.0077 memory: 817 2022/07/29 14:11:14 - mmengine - INFO - Epoch(val) [3][60/2475] eta: 0:04:20 time: 0.1080 data_time: 0.0798 memory: 817 2022/07/29 14:11:15 - mmengine - INFO - Epoch(val) [3][80/2475] eta: 0:01:24 time: 0.0355 data_time: 0.0058 memory: 817 2022/07/29 14:11:17 - mmengine - INFO - Epoch(val) [3][100/2475] eta: 0:02:59 time: 0.0757 data_time: 0.0474 memory: 817 2022/07/29 14:11:18 - mmengine - INFO - Epoch(val) [3][120/2475] eta: 0:03:00 time: 0.0768 data_time: 0.0495 memory: 817 2022/07/29 14:11:21 - mmengine - INFO - Epoch(val) [3][140/2475] eta: 0:04:38 time: 0.1191 data_time: 0.0917 memory: 817 2022/07/29 14:11:22 - mmengine - INFO - Epoch(val) [3][160/2475] eta: 0:02:10 time: 0.0565 data_time: 0.0292 memory: 817 2022/07/29 14:11:23 - mmengine - INFO - Epoch(val) [3][180/2475] eta: 0:01:55 time: 0.0504 data_time: 0.0226 memory: 817 2022/07/29 14:11:24 - mmengine - INFO - Epoch(val) [3][200/2475] eta: 0:02:07 time: 0.0560 data_time: 0.0299 memory: 817 2022/07/29 14:11:26 - mmengine - INFO - Epoch(val) [3][220/2475] eta: 0:03:26 time: 0.0917 data_time: 0.0475 memory: 817 2022/07/29 14:11:27 - mmengine - INFO - Epoch(val) [3][240/2475] eta: 0:02:46 time: 0.0744 data_time: 0.0435 memory: 817 2022/07/29 14:11:30 - mmengine - INFO - Epoch(val) [3][260/2475] eta: 0:04:59 time: 0.1353 data_time: 0.1073 memory: 817 2022/07/29 14:11:31 - mmengine - INFO - Epoch(val) [3][280/2475] eta: 0:02:06 time: 0.0578 data_time: 0.0306 memory: 817 2022/07/29 14:11:33 - mmengine - INFO - Epoch(val) [3][300/2475] eta: 0:03:03 time: 0.0845 data_time: 0.0564 memory: 817 2022/07/29 14:11:35 - mmengine - INFO - Epoch(val) [3][320/2475] eta: 0:03:26 time: 0.0956 data_time: 0.0689 memory: 817 2022/07/29 14:11:36 - mmengine - INFO - Epoch(val) [3][340/2475] eta: 0:02:46 time: 0.0778 data_time: 0.0405 memory: 817 2022/07/29 14:11:38 - mmengine - INFO - Epoch(val) [3][360/2475] eta: 0:03:09 time: 0.0896 data_time: 0.0579 memory: 817 2022/07/29 14:11:39 - mmengine - INFO - Epoch(val) [3][380/2475] eta: 0:02:13 time: 0.0639 data_time: 0.0356 memory: 817 2022/07/29 14:11:41 - mmengine - INFO - Epoch(val) [3][400/2475] eta: 0:03:19 time: 0.0962 data_time: 0.0707 memory: 817 2022/07/29 14:11:43 - mmengine - INFO - Epoch(val) [3][420/2475] eta: 0:03:30 time: 0.1024 data_time: 0.0748 memory: 817 2022/07/29 14:11:45 - mmengine - INFO - Epoch(val) [3][440/2475] eta: 0:02:53 time: 0.0854 data_time: 0.0585 memory: 817 2022/07/29 14:11:46 - mmengine - INFO - Epoch(val) [3][460/2475] eta: 0:02:18 time: 0.0687 data_time: 0.0233 memory: 817 2022/07/29 14:11:48 - mmengine - INFO - Epoch(val) [3][480/2475] eta: 0:02:51 time: 0.0858 data_time: 0.0586 memory: 817 2022/07/29 14:11:50 - mmengine - INFO - Epoch(val) [3][500/2475] eta: 0:02:27 time: 0.0745 data_time: 0.0472 memory: 817 2022/07/29 14:11:51 - mmengine - INFO - Epoch(val) [3][520/2475] eta: 0:03:05 time: 0.0951 data_time: 0.0673 memory: 817 2022/07/29 14:11:53 - mmengine - INFO - Epoch(val) [3][540/2475] eta: 0:02:14 time: 0.0697 data_time: 0.0403 memory: 817 2022/07/29 14:11:55 - mmengine - INFO - Epoch(val) [3][560/2475] eta: 0:02:44 time: 0.0857 data_time: 0.0584 memory: 817 2022/07/29 14:11:56 - mmengine - INFO - Epoch(val) [3][580/2475] eta: 0:02:12 time: 0.0700 data_time: 0.0377 memory: 817 2022/07/29 14:11:57 - mmengine - INFO - Epoch(val) [3][600/2475] eta: 0:01:59 time: 0.0640 data_time: 0.0371 memory: 817 2022/07/29 14:11:59 - mmengine - INFO - Epoch(val) [3][620/2475] eta: 0:02:58 time: 0.0964 data_time: 0.0699 memory: 817 2022/07/29 14:12:01 - mmengine - INFO - Epoch(val) [3][640/2475] eta: 0:02:34 time: 0.0844 data_time: 0.0561 memory: 817 2022/07/29 14:12:03 - mmengine - INFO - Epoch(val) [3][660/2475] eta: 0:02:25 time: 0.0799 data_time: 0.0532 memory: 817 2022/07/29 14:12:04 - mmengine - INFO - Epoch(val) [3][680/2475] eta: 0:02:27 time: 0.0819 data_time: 0.0543 memory: 817 2022/07/29 14:12:06 - mmengine - INFO - Epoch(val) [3][700/2475] eta: 0:03:06 time: 0.1051 data_time: 0.0485 memory: 817 2022/07/29 14:12:07 - mmengine - INFO - Epoch(val) [3][720/2475] eta: 0:01:48 time: 0.0616 data_time: 0.0262 memory: 817 2022/07/29 14:12:09 - mmengine - INFO - Epoch(val) [3][740/2475] eta: 0:02:41 time: 0.0932 data_time: 0.0659 memory: 817 2022/07/29 14:12:11 - mmengine - INFO - Epoch(val) [3][760/2475] eta: 0:01:52 time: 0.0655 data_time: 0.0376 memory: 817 2022/07/29 14:12:12 - mmengine - INFO - Epoch(val) [3][780/2475] eta: 0:01:31 time: 0.0542 data_time: 0.0274 memory: 817 2022/07/29 14:12:14 - mmengine - INFO - Epoch(val) [3][800/2475] eta: 0:02:52 time: 0.1028 data_time: 0.0767 memory: 817 2022/07/29 14:12:16 - mmengine - INFO - Epoch(val) [3][820/2475] eta: 0:02:25 time: 0.0879 data_time: 0.0583 memory: 817 2022/07/29 14:12:17 - mmengine - INFO - Epoch(val) [3][840/2475] eta: 0:02:20 time: 0.0858 data_time: 0.0598 memory: 817 2022/07/29 14:12:19 - mmengine - INFO - Epoch(val) [3][860/2475] eta: 0:01:56 time: 0.0723 data_time: 0.0457 memory: 817 2022/07/29 14:12:20 - mmengine - INFO - Epoch(val) [3][880/2475] eta: 0:02:16 time: 0.0853 data_time: 0.0566 memory: 817 2022/07/29 14:12:22 - mmengine - INFO - Epoch(val) [3][900/2475] eta: 0:01:45 time: 0.0670 data_time: 0.0386 memory: 817 2022/07/29 14:12:24 - mmengine - INFO - Epoch(val) [3][920/2475] eta: 0:02:21 time: 0.0907 data_time: 0.0642 memory: 817 2022/07/29 14:12:25 - mmengine - INFO - Epoch(val) [3][940/2475] eta: 0:01:40 time: 0.0656 data_time: 0.0386 memory: 817 2022/07/29 14:12:26 - mmengine - INFO - Epoch(val) [3][960/2475] eta: 0:01:57 time: 0.0773 data_time: 0.0349 memory: 817 2022/07/29 14:12:28 - mmengine - INFO - Epoch(val) [3][980/2475] eta: 0:01:21 time: 0.0548 data_time: 0.0275 memory: 817 2022/07/29 14:12:29 - mmengine - INFO - Epoch(val) [3][1000/2475] eta: 0:02:00 time: 0.0818 data_time: 0.0554 memory: 817 2022/07/29 14:12:31 - mmengine - INFO - Epoch(val) [3][1020/2475] eta: 0:01:53 time: 0.0777 data_time: 0.0495 memory: 817 2022/07/29 14:12:33 - mmengine - INFO - Epoch(val) [3][1040/2475] eta: 0:02:20 time: 0.0980 data_time: 0.0706 memory: 817 2022/07/29 14:12:34 - mmengine - INFO - Epoch(val) [3][1060/2475] eta: 0:01:46 time: 0.0750 data_time: 0.0495 memory: 817 2022/07/29 14:12:36 - mmengine - INFO - Epoch(val) [3][1080/2475] eta: 0:02:28 time: 0.1063 data_time: 0.0748 memory: 817 2022/07/29 14:12:38 - mmengine - INFO - Epoch(val) [3][1100/2475] eta: 0:01:34 time: 0.0686 data_time: 0.0417 memory: 817 2022/07/29 14:12:40 - mmengine - INFO - Epoch(val) [3][1120/2475] eta: 0:02:11 time: 0.0972 data_time: 0.0684 memory: 817 2022/07/29 14:12:42 - mmengine - INFO - Epoch(val) [3][1140/2475] eta: 0:02:23 time: 0.1077 data_time: 0.0792 memory: 817 2022/07/29 14:12:44 - mmengine - INFO - Epoch(val) [3][1160/2475] eta: 0:02:00 time: 0.0914 data_time: 0.0622 memory: 817 2022/07/29 14:12:45 - mmengine - INFO - Epoch(val) [3][1180/2475] eta: 0:01:50 time: 0.0851 data_time: 0.0585 memory: 817 2022/07/29 14:12:47 - mmengine - INFO - Epoch(val) [3][1200/2475] eta: 0:01:35 time: 0.0750 data_time: 0.0211 memory: 817 2022/07/29 14:12:48 - mmengine - INFO - Epoch(val) [3][1220/2475] eta: 0:01:28 time: 0.0706 data_time: 0.0438 memory: 817 2022/07/29 14:12:50 - mmengine - INFO - Epoch(val) [3][1240/2475] eta: 0:02:11 time: 0.1063 data_time: 0.0794 memory: 817 2022/07/29 14:12:52 - mmengine - INFO - Epoch(val) [3][1260/2475] eta: 0:01:32 time: 0.0761 data_time: 0.0470 memory: 817 2022/07/29 14:12:54 - mmengine - INFO - Epoch(val) [3][1280/2475] eta: 0:01:48 time: 0.0910 data_time: 0.0630 memory: 817 2022/07/29 14:12:56 - mmengine - INFO - Epoch(val) [3][1300/2475] eta: 0:01:58 time: 0.1006 data_time: 0.0703 memory: 817 2022/07/29 14:12:58 - mmengine - INFO - Epoch(val) [3][1320/2475] eta: 0:02:11 time: 0.1137 data_time: 0.0871 memory: 817 2022/07/29 14:12:59 - mmengine - INFO - Epoch(val) [3][1340/2475] eta: 0:01:06 time: 0.0585 data_time: 0.0298 memory: 817 2022/07/29 14:13:01 - mmengine - INFO - Epoch(val) [3][1360/2475] eta: 0:01:51 time: 0.0999 data_time: 0.0737 memory: 817 2022/07/29 14:13:03 - mmengine - INFO - Epoch(val) [3][1380/2475] eta: 0:01:32 time: 0.0846 data_time: 0.0585 memory: 817 2022/07/29 14:13:06 - mmengine - INFO - Epoch(val) [3][1400/2475] eta: 0:02:40 time: 0.1493 data_time: 0.1050 memory: 817 2022/07/29 14:13:07 - mmengine - INFO - Epoch(val) [3][1420/2475] eta: 0:00:37 time: 0.0357 data_time: 0.0019 memory: 817 2022/07/29 14:13:09 - mmengine - INFO - Epoch(val) [3][1440/2475] eta: 0:01:56 time: 0.1129 data_time: 0.0857 memory: 817 2022/07/29 14:13:10 - mmengine - INFO - Epoch(val) [3][1460/2475] eta: 0:01:06 time: 0.0656 data_time: 0.0392 memory: 817 2022/07/29 14:13:13 - mmengine - INFO - Epoch(val) [3][1480/2475] eta: 0:02:14 time: 0.1351 data_time: 0.1084 memory: 817 2022/07/29 14:13:15 - mmengine - INFO - Epoch(val) [3][1500/2475] eta: 0:01:46 time: 0.1095 data_time: 0.0820 memory: 817 2022/07/29 14:13:16 - mmengine - INFO - Epoch(val) [3][1520/2475] eta: 0:00:47 time: 0.0501 data_time: 0.0217 memory: 817 2022/07/29 14:13:18 - mmengine - INFO - Epoch(val) [3][1540/2475] eta: 0:01:08 time: 0.0731 data_time: 0.0460 memory: 817 2022/07/29 14:13:22 - mmengine - INFO - Epoch(val) [3][1560/2475] eta: 0:03:05 time: 0.2032 data_time: 0.1763 memory: 817 2022/07/29 14:13:23 - mmengine - INFO - Epoch(val) [3][1580/2475] eta: 0:01:07 time: 0.0759 data_time: 0.0509 memory: 817 2022/07/29 14:13:27 - mmengine - INFO - Epoch(val) [3][1600/2475] eta: 0:02:32 time: 0.1741 data_time: 0.1454 memory: 817 2022/07/29 14:13:29 - mmengine - INFO - Epoch(val) [3][1620/2475] eta: 0:01:49 time: 0.1280 data_time: 0.1005 memory: 817 2022/07/29 14:13:32 - mmengine - INFO - Epoch(val) [3][1640/2475] eta: 0:01:40 time: 0.1199 data_time: 0.0941 memory: 817 2022/07/29 14:13:33 - mmengine - INFO - Epoch(val) [3][1660/2475] eta: 0:01:08 time: 0.0837 data_time: 0.0573 memory: 817 2022/07/29 14:13:35 - mmengine - INFO - Epoch(val) [3][1680/2475] eta: 0:00:53 time: 0.0670 data_time: 0.0395 memory: 817 2022/07/29 14:13:37 - mmengine - INFO - Epoch(val) [3][1700/2475] eta: 0:01:30 time: 0.1168 data_time: 0.0885 memory: 817 2022/07/29 14:13:38 - mmengine - INFO - Epoch(val) [3][1720/2475] eta: 0:00:45 time: 0.0608 data_time: 0.0312 memory: 817 2022/07/29 14:13:39 - mmengine - INFO - Epoch(val) [3][1740/2475] eta: 0:00:47 time: 0.0647 data_time: 0.0389 memory: 817 2022/07/29 14:13:42 - mmengine - INFO - Epoch(val) [3][1760/2475] eta: 0:01:35 time: 0.1333 data_time: 0.1067 memory: 817 2022/07/29 14:13:43 - mmengine - INFO - Epoch(val) [3][1780/2475] eta: 0:00:30 time: 0.0445 data_time: 0.0163 memory: 817 2022/07/29 14:13:45 - mmengine - INFO - Epoch(val) [3][1800/2475] eta: 0:01:03 time: 0.0939 data_time: 0.0686 memory: 817 2022/07/29 14:13:46 - mmengine - INFO - Epoch(val) [3][1820/2475] eta: 0:00:50 time: 0.0778 data_time: 0.0519 memory: 817 2022/07/29 14:13:50 - mmengine - INFO - Epoch(val) [3][1840/2475] eta: 0:01:40 time: 0.1583 data_time: 0.1298 memory: 817 2022/07/29 14:13:52 - mmengine - INFO - Epoch(val) [3][1860/2475] eta: 0:01:29 time: 0.1459 data_time: 0.1200 memory: 817 2022/07/29 14:13:56 - mmengine - INFO - Epoch(val) [3][1880/2475] eta: 0:01:38 time: 0.1652 data_time: 0.1391 memory: 817 2022/07/29 14:13:58 - mmengine - INFO - Epoch(val) [3][1900/2475] eta: 0:00:52 time: 0.0905 data_time: 0.0638 memory: 817 2022/07/29 14:14:00 - mmengine - INFO - Epoch(val) [3][1920/2475] eta: 0:01:14 time: 0.1345 data_time: 0.1081 memory: 817 2022/07/29 14:14:02 - mmengine - INFO - Epoch(val) [3][1940/2475] eta: 0:00:34 time: 0.0638 data_time: 0.0365 memory: 817 2022/07/29 14:14:04 - mmengine - INFO - Epoch(val) [3][1960/2475] eta: 0:01:06 time: 0.1297 data_time: 0.1022 memory: 817 2022/07/29 14:14:05 - mmengine - INFO - Epoch(val) [3][1980/2475] eta: 0:00:27 time: 0.0548 data_time: 0.0276 memory: 817 2022/07/29 14:14:07 - mmengine - INFO - Epoch(val) [3][2000/2475] eta: 0:00:50 time: 0.1059 data_time: 0.0795 memory: 817 2022/07/29 14:14:09 - mmengine - INFO - Epoch(val) [3][2020/2475] eta: 0:00:32 time: 0.0722 data_time: 0.0453 memory: 817 2022/07/29 14:14:10 - mmengine - INFO - Epoch(val) [3][2040/2475] eta: 0:00:33 time: 0.0766 data_time: 0.0492 memory: 817 2022/07/29 14:14:13 - mmengine - INFO - Epoch(val) [3][2060/2475] eta: 0:00:47 time: 0.1144 data_time: 0.0836 memory: 817 2022/07/29 14:14:14 - mmengine - INFO - Epoch(val) [3][2080/2475] eta: 0:00:35 time: 0.0888 data_time: 0.0619 memory: 817 2022/07/29 14:14:16 - mmengine - INFO - Epoch(val) [3][2100/2475] eta: 0:00:34 time: 0.0927 data_time: 0.0641 memory: 817 2022/07/29 14:14:19 - mmengine - INFO - Epoch(val) [3][2120/2475] eta: 0:00:50 time: 0.1427 data_time: 0.1159 memory: 817 2022/07/29 14:14:21 - mmengine - INFO - Epoch(val) [3][2140/2475] eta: 0:00:22 time: 0.0678 data_time: 0.0401 memory: 817 2022/07/29 14:14:22 - mmengine - INFO - Epoch(val) [3][2160/2475] eta: 0:00:22 time: 0.0703 data_time: 0.0440 memory: 817 2022/07/29 14:14:24 - mmengine - INFO - Epoch(val) [3][2180/2475] eta: 0:00:27 time: 0.0936 data_time: 0.0664 memory: 817 2022/07/29 14:14:25 - mmengine - INFO - Epoch(val) [3][2200/2475] eta: 0:00:18 time: 0.0670 data_time: 0.0394 memory: 817 2022/07/29 14:14:28 - mmengine - INFO - Epoch(val) [3][2220/2475] eta: 0:00:34 time: 0.1358 data_time: 0.1078 memory: 817 2022/07/29 14:14:29 - mmengine - INFO - Epoch(val) [3][2240/2475] eta: 0:00:17 time: 0.0750 data_time: 0.0481 memory: 817 2022/07/29 14:14:31 - mmengine - INFO - Epoch(val) [3][2260/2475] eta: 0:00:17 time: 0.0810 data_time: 0.0529 memory: 817 2022/07/29 14:14:32 - mmengine - INFO - Epoch(val) [3][2280/2475] eta: 0:00:11 time: 0.0570 data_time: 0.0310 memory: 817 2022/07/29 14:14:34 - mmengine - INFO - Epoch(val) [3][2300/2475] eta: 0:00:15 time: 0.0898 data_time: 0.0630 memory: 817 2022/07/29 14:14:36 - mmengine - INFO - Epoch(val) [3][2320/2475] eta: 0:00:14 time: 0.0918 data_time: 0.0650 memory: 817 2022/07/29 14:14:37 - mmengine - INFO - Epoch(val) [3][2340/2475] eta: 0:00:11 time: 0.0840 data_time: 0.0578 memory: 817 2022/07/29 14:14:39 - mmengine - INFO - Epoch(val) [3][2360/2475] eta: 0:00:11 time: 0.1014 data_time: 0.0739 memory: 817 2022/07/29 14:14:41 - mmengine - INFO - Epoch(val) [3][2380/2475] eta: 0:00:08 time: 0.0944 data_time: 0.0678 memory: 817 2022/07/29 14:14:43 - mmengine - INFO - Epoch(val) [3][2400/2475] eta: 0:00:05 time: 0.0739 data_time: 0.0472 memory: 817 2022/07/29 14:14:45 - mmengine - INFO - Epoch(val) [3][2420/2475] eta: 0:00:04 time: 0.0908 data_time: 0.0641 memory: 817 2022/07/29 14:14:46 - mmengine - INFO - Epoch(val) [3][2440/2475] eta: 0:00:02 time: 0.0728 data_time: 0.0468 memory: 817 2022/07/29 14:14:48 - mmengine - INFO - Epoch(val) [3][2460/2475] eta: 0:00:01 time: 0.0991 data_time: 0.0743 memory: 817 2022/07/29 14:14:53 - mmengine - INFO - Epoch(val) [3][2475/2475] acc/top1: 0.6515 acc/top5: 0.8668 acc/mean1: 0.6515 2022/07/29 14:14:57 - mmengine - INFO - The best checkpoint with 0.6515 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/07/29 14:15:28 - mmengine - INFO - Epoch(train) [4][20/2505] lr: 1.4000e-04 eta: 1 day, 14:41:43 time: 1.5592 data_time: 0.9434 memory: 32703 grad_norm: 35.3808 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9713 loss: 1.9713 2022/07/29 14:15:44 - mmengine - INFO - Epoch(train) [4][40/2505] lr: 1.4000e-04 eta: 1 day, 14:40:00 time: 0.7858 data_time: 0.2041 memory: 32703 grad_norm: 35.9051 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8690 loss: 1.8690 2022/07/29 14:16:10 - mmengine - INFO - Epoch(train) [4][60/2505] lr: 1.4000e-04 eta: 1 day, 14:41:31 time: 1.3162 data_time: 0.6871 memory: 32703 grad_norm: 35.4326 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8922 loss: 1.8922 2022/07/29 14:16:27 - mmengine - INFO - Epoch(train) [4][80/2505] lr: 1.4000e-04 eta: 1 day, 14:40:02 time: 0.8226 data_time: 0.2167 memory: 32703 grad_norm: 35.4778 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0118 loss: 2.0118 2022/07/29 14:16:51 - mmengine - INFO - Epoch(train) [4][100/2505] lr: 1.4000e-04 eta: 1 day, 14:40:53 time: 1.2064 data_time: 0.4613 memory: 32703 grad_norm: 36.0445 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9546 loss: 1.9546 2022/07/29 14:17:10 - mmengine - INFO - Epoch(train) [4][120/2505] lr: 1.4000e-04 eta: 1 day, 14:40:11 time: 0.9498 data_time: 0.3273 memory: 32703 grad_norm: 34.3050 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.2006 loss: 2.2006 2022/07/29 14:17:29 - mmengine - INFO - Epoch(train) [4][140/2505] lr: 1.4000e-04 eta: 1 day, 14:39:36 time: 0.9720 data_time: 0.1824 memory: 32703 grad_norm: 37.0636 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8949 loss: 1.8949 2022/07/29 14:17:53 - mmengine - INFO - Epoch(train) [4][160/2505] lr: 1.4000e-04 eta: 1 day, 14:40:20 time: 1.1904 data_time: 0.0347 memory: 32703 grad_norm: 37.0045 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.0329 loss: 2.0329 2022/07/29 14:18:13 - mmengine - INFO - Epoch(train) [4][180/2505] lr: 1.4000e-04 eta: 1 day, 14:39:52 time: 0.9888 data_time: 0.0293 memory: 32703 grad_norm: 35.0048 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8384 loss: 1.8384 2022/07/29 14:18:32 - mmengine - INFO - Epoch(train) [4][200/2505] lr: 1.4000e-04 eta: 1 day, 14:39:10 time: 0.9520 data_time: 0.0350 memory: 32703 grad_norm: 32.8316 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8374 loss: 1.8374 2022/07/29 14:18:52 - mmengine - INFO - Epoch(train) [4][220/2505] lr: 1.4000e-04 eta: 1 day, 14:38:42 time: 0.9883 data_time: 0.0305 memory: 32703 grad_norm: 35.3320 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.0374 loss: 2.0374 2022/07/29 14:19:12 - mmengine - INFO - Epoch(train) [4][240/2505] lr: 1.4000e-04 eta: 1 day, 14:38:28 time: 1.0292 data_time: 0.0622 memory: 32703 grad_norm: 36.1888 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.9635 loss: 1.9635 2022/07/29 14:19:33 - mmengine - INFO - Epoch(train) [4][260/2505] lr: 1.4000e-04 eta: 1 day, 14:38:22 time: 1.0514 data_time: 0.0560 memory: 32703 grad_norm: 33.9084 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.9383 loss: 1.9383 2022/07/29 14:19:58 - mmengine - INFO - Epoch(train) [4][280/2505] lr: 1.4000e-04 eta: 1 day, 14:39:18 time: 1.2273 data_time: 0.1859 memory: 32703 grad_norm: 35.1336 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0968 loss: 2.0968 2022/07/29 14:20:32 - mmengine - INFO - Epoch(train) [4][300/2505] lr: 1.4000e-04 eta: 1 day, 14:43:07 time: 1.7205 data_time: 0.2578 memory: 32703 grad_norm: 35.3317 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0186 loss: 2.0186 2022/07/29 14:20:56 - mmengine - INFO - Epoch(train) [4][320/2505] lr: 1.4000e-04 eta: 1 day, 14:43:37 time: 1.1592 data_time: 0.1091 memory: 32703 grad_norm: 35.1916 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9181 loss: 1.9181 2022/07/29 14:21:10 - mmengine - INFO - Epoch(train) [4][340/2505] lr: 1.4000e-04 eta: 1 day, 14:41:43 time: 0.7439 data_time: 0.0752 memory: 32703 grad_norm: 35.2724 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.6032 loss: 1.6032 2022/07/29 14:21:32 - mmengine - INFO - Epoch(train) [4][360/2505] lr: 1.4000e-04 eta: 1 day, 14:41:45 time: 1.0791 data_time: 0.0312 memory: 32703 grad_norm: 35.8425 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8944 loss: 1.8944 2022/07/29 14:21:54 - mmengine - INFO - Epoch(train) [4][380/2505] lr: 1.4000e-04 eta: 1 day, 14:41:50 time: 1.0870 data_time: 0.0851 memory: 32703 grad_norm: 34.8955 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9553 loss: 1.9553 2022/07/29 14:22:23 - mmengine - INFO - Epoch(train) [4][400/2505] lr: 1.4000e-04 eta: 1 day, 14:44:05 time: 1.4591 data_time: 0.2228 memory: 32703 grad_norm: 32.8119 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7145 loss: 1.7145 2022/07/29 14:22:47 - mmengine - INFO - Epoch(train) [4][420/2505] lr: 1.4000e-04 eta: 1 day, 14:44:43 time: 1.1834 data_time: 0.2580 memory: 32703 grad_norm: 33.3700 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8927 loss: 1.8927 2022/07/29 14:23:14 - mmengine - INFO - Epoch(train) [4][440/2505] lr: 1.4000e-04 eta: 1 day, 14:46:31 time: 1.3895 data_time: 0.4168 memory: 32703 grad_norm: 35.0113 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0799 loss: 2.0799 2022/07/29 14:23:37 - mmengine - INFO - Epoch(train) [4][460/2505] lr: 1.4000e-04 eta: 1 day, 14:46:50 time: 1.1293 data_time: 0.1161 memory: 32703 grad_norm: 36.0166 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8213 loss: 1.8213 2022/07/29 14:24:02 - mmengine - INFO - Epoch(train) [4][480/2505] lr: 1.4000e-04 eta: 1 day, 14:47:57 time: 1.2707 data_time: 0.0304 memory: 32703 grad_norm: 35.0009 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.0087 loss: 2.0087 2022/07/29 14:24:07 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 14:24:21 - mmengine - INFO - Epoch(train) [4][500/2505] lr: 1.4000e-04 eta: 1 day, 14:47:06 time: 0.9296 data_time: 0.1044 memory: 32703 grad_norm: 35.2081 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 2.3050 loss: 2.3050 2022/07/29 14:24:48 - mmengine - INFO - Epoch(train) [4][520/2505] lr: 1.4000e-04 eta: 1 day, 14:48:37 time: 1.3420 data_time: 0.0287 memory: 32703 grad_norm: 35.5993 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9407 loss: 1.9407 2022/07/29 14:25:08 - mmengine - INFO - Epoch(train) [4][540/2505] lr: 1.4000e-04 eta: 1 day, 14:48:09 time: 0.9946 data_time: 0.1784 memory: 32703 grad_norm: 34.0234 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7079 loss: 1.7079 2022/07/29 14:25:27 - mmengine - INFO - Epoch(train) [4][560/2505] lr: 1.4000e-04 eta: 1 day, 14:47:28 time: 0.9589 data_time: 0.0580 memory: 32703 grad_norm: 34.7315 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8528 loss: 1.8528 2022/07/29 14:25:56 - mmengine - INFO - Epoch(train) [4][580/2505] lr: 1.4000e-04 eta: 1 day, 14:49:37 time: 1.4559 data_time: 0.1277 memory: 32703 grad_norm: 34.5218 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7268 loss: 1.7268 2022/07/29 14:26:16 - mmengine - INFO - Epoch(train) [4][600/2505] lr: 1.4000e-04 eta: 1 day, 14:49:18 time: 1.0243 data_time: 0.0426 memory: 32703 grad_norm: 34.1058 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8722 loss: 1.8722 2022/07/29 14:26:34 - mmengine - INFO - Epoch(train) [4][620/2505] lr: 1.4000e-04 eta: 1 day, 14:48:08 time: 0.8710 data_time: 0.0530 memory: 32703 grad_norm: 34.8299 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 2.0522 loss: 2.0522 2022/07/29 14:26:55 - mmengine - INFO - Epoch(train) [4][640/2505] lr: 1.4000e-04 eta: 1 day, 14:48:04 time: 1.0690 data_time: 0.0373 memory: 32703 grad_norm: 35.2648 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8928 loss: 1.8928 2022/07/29 14:27:21 - mmengine - INFO - Epoch(train) [4][660/2505] lr: 1.4000e-04 eta: 1 day, 14:49:15 time: 1.2905 data_time: 0.0463 memory: 32703 grad_norm: 34.6270 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1368 loss: 2.1368 2022/07/29 14:27:40 - mmengine - INFO - Epoch(train) [4][680/2505] lr: 1.4000e-04 eta: 1 day, 14:48:23 time: 0.9247 data_time: 0.0263 memory: 32703 grad_norm: 36.4228 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9551 loss: 1.9551 2022/07/29 14:28:04 - mmengine - INFO - Epoch(train) [4][700/2505] lr: 1.4000e-04 eta: 1 day, 14:49:17 time: 1.2419 data_time: 0.1192 memory: 32703 grad_norm: 35.4907 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 2.1106 loss: 2.1106 2022/07/29 14:28:27 - mmengine - INFO - Epoch(train) [4][720/2505] lr: 1.4000e-04 eta: 1 day, 14:49:38 time: 1.1430 data_time: 0.0559 memory: 32703 grad_norm: 35.4795 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9960 loss: 1.9960 2022/07/29 14:28:45 - mmengine - INFO - Epoch(train) [4][740/2505] lr: 1.4000e-04 eta: 1 day, 14:48:34 time: 0.8897 data_time: 0.0319 memory: 32703 grad_norm: 35.0972 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9624 loss: 1.9624 2022/07/29 14:29:03 - mmengine - INFO - Epoch(train) [4][760/2505] lr: 1.4000e-04 eta: 1 day, 14:47:38 time: 0.9117 data_time: 0.0276 memory: 32703 grad_norm: 34.2160 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9690 loss: 1.9690 2022/07/29 14:29:24 - mmengine - INFO - Epoch(train) [4][780/2505] lr: 1.4000e-04 eta: 1 day, 14:47:18 time: 1.0208 data_time: 0.0299 memory: 32703 grad_norm: 33.9556 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0811 loss: 2.0811 2022/07/29 14:29:43 - mmengine - INFO - Epoch(train) [4][800/2505] lr: 1.4000e-04 eta: 1 day, 14:46:40 time: 0.9638 data_time: 0.0277 memory: 32703 grad_norm: 33.4397 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0302 loss: 2.0302 2022/07/29 14:30:07 - mmengine - INFO - Epoch(train) [4][820/2505] lr: 1.4000e-04 eta: 1 day, 14:47:12 time: 1.1804 data_time: 0.0288 memory: 32703 grad_norm: 32.5236 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9815 loss: 1.9815 2022/07/29 14:30:26 - mmengine - INFO - Epoch(train) [4][840/2505] lr: 1.4000e-04 eta: 1 day, 14:46:34 time: 0.9650 data_time: 0.2606 memory: 32703 grad_norm: 34.7901 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0289 loss: 2.0289 2022/07/29 14:30:46 - mmengine - INFO - Epoch(train) [4][860/2505] lr: 1.4000e-04 eta: 1 day, 14:46:03 time: 0.9883 data_time: 0.1661 memory: 32703 grad_norm: 33.6731 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8843 loss: 1.8843 2022/07/29 14:31:06 - mmengine - INFO - Epoch(train) [4][880/2505] lr: 1.4000e-04 eta: 1 day, 14:45:39 time: 1.0058 data_time: 0.0273 memory: 32703 grad_norm: 33.7553 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8997 loss: 1.8997 2022/07/29 14:31:34 - mmengine - INFO - Epoch(train) [4][900/2505] lr: 1.4000e-04 eta: 1 day, 14:47:33 time: 1.4335 data_time: 0.2339 memory: 32703 grad_norm: 33.5179 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 2.0112 loss: 2.0112 2022/07/29 14:31:56 - mmengine - INFO - Epoch(train) [4][920/2505] lr: 1.4000e-04 eta: 1 day, 14:47:27 time: 1.0652 data_time: 0.0354 memory: 32703 grad_norm: 33.7540 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8742 loss: 1.8742 2022/07/29 14:32:14 - mmengine - INFO - Epoch(train) [4][940/2505] lr: 1.4000e-04 eta: 1 day, 14:46:28 time: 0.9009 data_time: 0.0361 memory: 32703 grad_norm: 33.8335 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.0255 loss: 2.0255 2022/07/29 14:32:40 - mmengine - INFO - Epoch(train) [4][960/2505] lr: 1.4000e-04 eta: 1 day, 14:47:45 time: 1.3230 data_time: 0.1608 memory: 32703 grad_norm: 34.6639 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0950 loss: 2.0950 2022/07/29 14:32:55 - mmengine - INFO - Epoch(train) [4][980/2505] lr: 1.4000e-04 eta: 1 day, 14:45:53 time: 0.7352 data_time: 0.0319 memory: 32703 grad_norm: 36.0378 top1_acc: 0.2500 top5_acc: 0.3333 loss_cls: 2.1431 loss: 2.1431 2022/07/29 14:33:16 - mmengine - INFO - Epoch(train) [4][1000/2505] lr: 1.4000e-04 eta: 1 day, 14:45:45 time: 1.0587 data_time: 0.1416 memory: 32703 grad_norm: 33.0017 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.1773 loss: 2.1773 2022/07/29 14:33:38 - mmengine - INFO - Epoch(train) [4][1020/2505] lr: 1.4000e-04 eta: 1 day, 14:45:49 time: 1.0976 data_time: 0.2157 memory: 32703 grad_norm: 33.3057 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.9964 loss: 1.9964 2022/07/29 14:33:58 - mmengine - INFO - Epoch(train) [4][1040/2505] lr: 1.4000e-04 eta: 1 day, 14:45:28 time: 1.0164 data_time: 0.2662 memory: 32703 grad_norm: 34.3965 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.8657 loss: 1.8657 2022/07/29 14:34:19 - mmengine - INFO - Epoch(train) [4][1060/2505] lr: 1.4000e-04 eta: 1 day, 14:45:12 time: 1.0361 data_time: 0.4348 memory: 32703 grad_norm: 35.2344 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0040 loss: 2.0040 2022/07/29 14:34:39 - mmengine - INFO - Epoch(train) [4][1080/2505] lr: 1.4000e-04 eta: 1 day, 14:44:45 time: 0.9984 data_time: 0.3987 memory: 32703 grad_norm: 34.7695 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8141 loss: 1.8141 2022/07/29 14:34:56 - mmengine - INFO - Epoch(train) [4][1100/2505] lr: 1.4000e-04 eta: 1 day, 14:43:33 time: 0.8597 data_time: 0.2672 memory: 32703 grad_norm: 34.4949 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 2.0789 loss: 2.0789 2022/07/29 14:35:20 - mmengine - INFO - Epoch(train) [4][1120/2505] lr: 1.4000e-04 eta: 1 day, 14:44:10 time: 1.2002 data_time: 0.5632 memory: 32703 grad_norm: 34.3151 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0528 loss: 2.0528 2022/07/29 14:35:40 - mmengine - INFO - Epoch(train) [4][1140/2505] lr: 1.4000e-04 eta: 1 day, 14:43:37 time: 0.9801 data_time: 0.3765 memory: 32703 grad_norm: 33.4270 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.1907 loss: 2.1907 2022/07/29 14:35:57 - mmengine - INFO - Epoch(train) [4][1160/2505] lr: 1.4000e-04 eta: 1 day, 14:42:26 time: 0.8593 data_time: 0.2559 memory: 32703 grad_norm: 32.8734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9637 loss: 1.9637 2022/07/29 14:36:20 - mmengine - INFO - Epoch(train) [4][1180/2505] lr: 1.4000e-04 eta: 1 day, 14:42:52 time: 1.1679 data_time: 0.5265 memory: 32703 grad_norm: 34.3298 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6875 loss: 1.6875 2022/07/29 14:36:37 - mmengine - INFO - Epoch(train) [4][1200/2505] lr: 1.4000e-04 eta: 1 day, 14:41:27 time: 0.8145 data_time: 0.2262 memory: 32703 grad_norm: 33.9060 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 2.0443 loss: 2.0443 2022/07/29 14:36:57 - mmengine - INFO - Epoch(train) [4][1220/2505] lr: 1.4000e-04 eta: 1 day, 14:41:10 time: 1.0318 data_time: 0.1839 memory: 32703 grad_norm: 33.8042 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 2.0570 loss: 2.0570 2022/07/29 14:37:22 - mmengine - INFO - Epoch(train) [4][1240/2505] lr: 1.4000e-04 eta: 1 day, 14:42:04 time: 1.2578 data_time: 0.0572 memory: 32703 grad_norm: 33.8064 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.1279 loss: 2.1279 2022/07/29 14:37:43 - mmengine - INFO - Epoch(train) [4][1260/2505] lr: 1.4000e-04 eta: 1 day, 14:41:40 time: 1.0093 data_time: 0.1198 memory: 32703 grad_norm: 33.5063 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9312 loss: 1.9312 2022/07/29 14:38:00 - mmengine - INFO - Epoch(train) [4][1280/2505] lr: 1.4000e-04 eta: 1 day, 14:40:36 time: 0.8784 data_time: 0.0280 memory: 32703 grad_norm: 35.0023 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6547 loss: 1.6547 2022/07/29 14:38:20 - mmengine - INFO - Epoch(train) [4][1300/2505] lr: 1.4000e-04 eta: 1 day, 14:40:09 time: 0.9994 data_time: 0.1851 memory: 32703 grad_norm: 34.0923 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 2.1240 loss: 2.1240 2022/07/29 14:38:41 - mmengine - INFO - Epoch(train) [4][1320/2505] lr: 1.4000e-04 eta: 1 day, 14:39:52 time: 1.0319 data_time: 0.0447 memory: 32703 grad_norm: 33.8505 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8651 loss: 1.8651 2022/07/29 14:39:02 - mmengine - INFO - Epoch(train) [4][1340/2505] lr: 1.4000e-04 eta: 1 day, 14:39:47 time: 1.0694 data_time: 0.0265 memory: 32703 grad_norm: 34.5327 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8183 loss: 1.8183 2022/07/29 14:39:23 - mmengine - INFO - Epoch(train) [4][1360/2505] lr: 1.4000e-04 eta: 1 day, 14:39:27 time: 1.0200 data_time: 0.0264 memory: 32703 grad_norm: 33.0345 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8379 loss: 1.8379 2022/07/29 14:39:43 - mmengine - INFO - Epoch(train) [4][1380/2505] lr: 1.4000e-04 eta: 1 day, 14:39:01 time: 1.0038 data_time: 0.0257 memory: 32703 grad_norm: 34.6830 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9373 loss: 1.9373 2022/07/29 14:40:03 - mmengine - INFO - Epoch(train) [4][1400/2505] lr: 1.4000e-04 eta: 1 day, 14:38:31 time: 0.9896 data_time: 0.0419 memory: 32703 grad_norm: 32.7479 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8766 loss: 1.8766 2022/07/29 14:40:26 - mmengine - INFO - Epoch(train) [4][1420/2505] lr: 1.4000e-04 eta: 1 day, 14:39:05 time: 1.1986 data_time: 0.0817 memory: 32703 grad_norm: 34.2675 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8682 loss: 1.8682 2022/07/29 14:40:51 - mmengine - INFO - Epoch(train) [4][1440/2505] lr: 1.4000e-04 eta: 1 day, 14:39:40 time: 1.2014 data_time: 0.0653 memory: 32703 grad_norm: 33.3782 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7896 loss: 1.7896 2022/07/29 14:41:09 - mmengine - INFO - Epoch(train) [4][1460/2505] lr: 1.4000e-04 eta: 1 day, 14:38:43 time: 0.8995 data_time: 0.1976 memory: 32703 grad_norm: 32.9422 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7635 loss: 1.7635 2022/07/29 14:41:34 - mmengine - INFO - Epoch(train) [4][1480/2505] lr: 1.4000e-04 eta: 1 day, 14:39:43 time: 1.2857 data_time: 0.1037 memory: 32703 grad_norm: 33.5074 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8801 loss: 1.8801 2022/07/29 14:41:38 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 14:41:59 - mmengine - INFO - Epoch(train) [4][1500/2505] lr: 1.4000e-04 eta: 1 day, 14:40:35 time: 1.2630 data_time: 0.0545 memory: 32703 grad_norm: 33.1382 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7565 loss: 1.7565 2022/07/29 14:42:15 - mmengine - INFO - Epoch(train) [4][1520/2505] lr: 1.4000e-04 eta: 1 day, 14:38:56 time: 0.7597 data_time: 0.0312 memory: 32703 grad_norm: 33.4015 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0961 loss: 2.0961 2022/07/29 14:42:34 - mmengine - INFO - Epoch(train) [4][1540/2505] lr: 1.4000e-04 eta: 1 day, 14:38:19 time: 0.9654 data_time: 0.1163 memory: 32703 grad_norm: 34.5947 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9277 loss: 1.9277 2022/07/29 14:43:03 - mmengine - INFO - Epoch(train) [4][1560/2505] lr: 1.4000e-04 eta: 1 day, 14:40:11 time: 1.4630 data_time: 0.1582 memory: 32703 grad_norm: 34.2195 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.0566 loss: 2.0566 2022/07/29 14:43:16 - mmengine - INFO - Epoch(train) [4][1580/2505] lr: 1.4000e-04 eta: 1 day, 14:37:59 time: 0.6481 data_time: 0.0362 memory: 32703 grad_norm: 33.6180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9073 loss: 1.9073 2022/07/29 14:43:39 - mmengine - INFO - Epoch(train) [4][1600/2505] lr: 1.4000e-04 eta: 1 day, 14:38:17 time: 1.1520 data_time: 0.0280 memory: 32703 grad_norm: 34.6831 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8419 loss: 1.8419 2022/07/29 14:44:03 - mmengine - INFO - Epoch(train) [4][1620/2505] lr: 1.4000e-04 eta: 1 day, 14:38:42 time: 1.1714 data_time: 0.0566 memory: 32703 grad_norm: 33.5195 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0255 loss: 2.0255 2022/07/29 14:44:21 - mmengine - INFO - Epoch(train) [4][1640/2505] lr: 1.4000e-04 eta: 1 day, 14:37:53 time: 0.9271 data_time: 0.0304 memory: 32703 grad_norm: 34.0913 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7290 loss: 1.7290 2022/07/29 14:44:41 - mmengine - INFO - Epoch(train) [4][1660/2505] lr: 1.4000e-04 eta: 1 day, 14:37:29 time: 1.0082 data_time: 0.0263 memory: 32703 grad_norm: 33.8719 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6839 loss: 1.6839 2022/07/29 14:45:01 - mmengine - INFO - Epoch(train) [4][1680/2505] lr: 1.4000e-04 eta: 1 day, 14:37:01 time: 0.9958 data_time: 0.1076 memory: 32703 grad_norm: 32.0925 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.6613 loss: 1.6613 2022/07/29 14:45:21 - mmengine - INFO - Epoch(train) [4][1700/2505] lr: 1.4000e-04 eta: 1 day, 14:36:33 time: 0.9979 data_time: 0.0293 memory: 32703 grad_norm: 34.0004 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7102 loss: 1.7102 2022/07/29 14:45:46 - mmengine - INFO - Epoch(train) [4][1720/2505] lr: 1.4000e-04 eta: 1 day, 14:37:10 time: 1.2161 data_time: 0.0585 memory: 32703 grad_norm: 34.1423 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9281 loss: 1.9281 2022/07/29 14:46:06 - mmengine - INFO - Epoch(train) [4][1740/2505] lr: 1.4000e-04 eta: 1 day, 14:36:45 time: 1.0073 data_time: 0.0940 memory: 32703 grad_norm: 33.8525 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8547 loss: 1.8547 2022/07/29 14:46:24 - mmengine - INFO - Epoch(train) [4][1760/2505] lr: 1.4000e-04 eta: 1 day, 14:35:48 time: 0.8966 data_time: 0.0303 memory: 32703 grad_norm: 33.5854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8599 loss: 1.8599 2022/07/29 14:46:46 - mmengine - INFO - Epoch(train) [4][1780/2505] lr: 1.4000e-04 eta: 1 day, 14:35:50 time: 1.0975 data_time: 0.0278 memory: 32703 grad_norm: 33.5547 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 2.0065 loss: 2.0065 2022/07/29 14:47:03 - mmengine - INFO - Epoch(train) [4][1800/2505] lr: 1.4000e-04 eta: 1 day, 14:34:42 time: 0.8588 data_time: 0.0341 memory: 32703 grad_norm: 33.8321 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.7694 loss: 1.7694 2022/07/29 14:47:22 - mmengine - INFO - Epoch(train) [4][1820/2505] lr: 1.4000e-04 eta: 1 day, 14:34:04 time: 0.9601 data_time: 0.0435 memory: 32703 grad_norm: 31.8947 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.5677 loss: 1.5677 2022/07/29 14:47:44 - mmengine - INFO - Epoch(train) [4][1840/2505] lr: 1.4000e-04 eta: 1 day, 14:34:04 time: 1.0915 data_time: 0.0280 memory: 32703 grad_norm: 33.2023 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.6978 loss: 1.6978 2022/07/29 14:48:04 - mmengine - INFO - Epoch(train) [4][1860/2505] lr: 1.4000e-04 eta: 1 day, 14:33:33 time: 0.9858 data_time: 0.0318 memory: 32703 grad_norm: 31.4557 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7825 loss: 1.7825 2022/07/29 14:48:26 - mmengine - INFO - Epoch(train) [4][1880/2505] lr: 1.4000e-04 eta: 1 day, 14:33:35 time: 1.1004 data_time: 0.0277 memory: 32703 grad_norm: 34.4518 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8274 loss: 1.8274 2022/07/29 14:48:45 - mmengine - INFO - Epoch(train) [4][1900/2505] lr: 1.4000e-04 eta: 1 day, 14:33:03 time: 0.9793 data_time: 0.0363 memory: 32703 grad_norm: 34.2412 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.0647 loss: 2.0647 2022/07/29 14:49:03 - mmengine - INFO - Epoch(train) [4][1920/2505] lr: 1.4000e-04 eta: 1 day, 14:32:06 time: 0.8946 data_time: 0.0292 memory: 32703 grad_norm: 34.5571 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7433 loss: 1.7433 2022/07/29 14:49:24 - mmengine - INFO - Epoch(train) [4][1940/2505] lr: 1.4000e-04 eta: 1 day, 14:31:50 time: 1.0359 data_time: 0.0304 memory: 32703 grad_norm: 33.2273 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8917 loss: 1.8917 2022/07/29 14:49:42 - mmengine - INFO - Epoch(train) [4][1960/2505] lr: 1.4000e-04 eta: 1 day, 14:30:58 time: 0.9126 data_time: 0.0282 memory: 32703 grad_norm: 33.2094 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0533 loss: 2.0533 2022/07/29 14:50:05 - mmengine - INFO - Epoch(train) [4][1980/2505] lr: 1.4000e-04 eta: 1 day, 14:31:13 time: 1.1446 data_time: 0.0409 memory: 32703 grad_norm: 32.8504 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8506 loss: 1.8506 2022/07/29 14:50:29 - mmengine - INFO - Epoch(train) [4][2000/2505] lr: 1.4000e-04 eta: 1 day, 14:31:45 time: 1.2054 data_time: 0.0470 memory: 32703 grad_norm: 32.6009 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8544 loss: 1.8544 2022/07/29 14:50:45 - mmengine - INFO - Epoch(train) [4][2020/2505] lr: 1.4000e-04 eta: 1 day, 14:30:19 time: 0.7895 data_time: 0.0262 memory: 32703 grad_norm: 32.3927 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7747 loss: 1.7747 2022/07/29 14:51:05 - mmengine - INFO - Epoch(train) [4][2040/2505] lr: 1.4000e-04 eta: 1 day, 14:29:58 time: 1.0195 data_time: 0.0282 memory: 32703 grad_norm: 33.2285 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8939 loss: 1.8939 2022/07/29 14:51:24 - mmengine - INFO - Epoch(train) [4][2060/2505] lr: 1.4000e-04 eta: 1 day, 14:29:10 time: 0.9239 data_time: 0.0406 memory: 32703 grad_norm: 34.8585 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9532 loss: 1.9532 2022/07/29 14:51:50 - mmengine - INFO - Epoch(train) [4][2080/2505] lr: 1.4000e-04 eta: 1 day, 14:30:20 time: 1.3401 data_time: 0.1284 memory: 32703 grad_norm: 33.3883 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6566 loss: 1.6566 2022/07/29 14:52:11 - mmengine - INFO - Epoch(train) [4][2100/2505] lr: 1.4000e-04 eta: 1 day, 14:29:55 time: 1.0056 data_time: 0.0889 memory: 32703 grad_norm: 33.6662 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7988 loss: 1.7988 2022/07/29 14:52:36 - mmengine - INFO - Epoch(train) [4][2120/2505] lr: 1.4000e-04 eta: 1 day, 14:30:47 time: 1.2802 data_time: 0.0439 memory: 32703 grad_norm: 33.7175 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9687 loss: 1.9687 2022/07/29 14:53:04 - mmengine - INFO - Epoch(train) [4][2140/2505] lr: 1.4000e-04 eta: 1 day, 14:32:07 time: 1.3802 data_time: 0.3525 memory: 32703 grad_norm: 32.2200 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7277 loss: 1.7277 2022/07/29 14:53:24 - mmengine - INFO - Epoch(train) [4][2160/2505] lr: 1.4000e-04 eta: 1 day, 14:31:45 time: 1.0166 data_time: 0.0273 memory: 32703 grad_norm: 32.7729 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0582 loss: 2.0582 2022/07/29 14:53:48 - mmengine - INFO - Epoch(train) [4][2180/2505] lr: 1.4000e-04 eta: 1 day, 14:32:13 time: 1.1946 data_time: 0.0340 memory: 32703 grad_norm: 31.8233 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.9804 loss: 1.9804 2022/07/29 14:54:07 - mmengine - INFO - Epoch(train) [4][2200/2505] lr: 1.4000e-04 eta: 1 day, 14:31:34 time: 0.9565 data_time: 0.0265 memory: 32703 grad_norm: 31.9234 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9626 loss: 1.9626 2022/07/29 14:54:26 - mmengine - INFO - Epoch(train) [4][2220/2505] lr: 1.4000e-04 eta: 1 day, 14:30:49 time: 0.9361 data_time: 0.0312 memory: 32703 grad_norm: 33.4018 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8035 loss: 1.8035 2022/07/29 14:54:48 - mmengine - INFO - Epoch(train) [4][2240/2505] lr: 1.4000e-04 eta: 1 day, 14:30:46 time: 1.0870 data_time: 0.0335 memory: 32703 grad_norm: 31.1670 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.8014 loss: 1.8014 2022/07/29 14:55:07 - mmengine - INFO - Epoch(train) [4][2260/2505] lr: 1.4000e-04 eta: 1 day, 14:30:17 time: 0.9919 data_time: 0.0389 memory: 32703 grad_norm: 33.1823 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7101 loss: 1.7101 2022/07/29 14:55:29 - mmengine - INFO - Epoch(train) [4][2280/2505] lr: 1.4000e-04 eta: 1 day, 14:30:17 time: 1.0968 data_time: 0.0268 memory: 32703 grad_norm: 31.2821 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8197 loss: 1.8197 2022/07/29 14:55:48 - mmengine - INFO - Epoch(train) [4][2300/2505] lr: 1.4000e-04 eta: 1 day, 14:29:30 time: 0.9261 data_time: 0.0335 memory: 32703 grad_norm: 32.5123 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4812 loss: 1.4812 2022/07/29 14:56:07 - mmengine - INFO - Epoch(train) [4][2320/2505] lr: 1.4000e-04 eta: 1 day, 14:28:49 time: 0.9473 data_time: 0.0320 memory: 32703 grad_norm: 33.0454 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5827 loss: 1.5827 2022/07/29 14:56:27 - mmengine - INFO - Epoch(train) [4][2340/2505] lr: 1.4000e-04 eta: 1 day, 14:28:18 time: 0.9853 data_time: 0.0355 memory: 32703 grad_norm: 32.1775 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1697 loss: 2.1697 2022/07/29 14:56:47 - mmengine - INFO - Epoch(train) [4][2360/2505] lr: 1.4000e-04 eta: 1 day, 14:27:52 time: 1.0034 data_time: 0.0272 memory: 32703 grad_norm: 32.8094 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9159 loss: 1.9159 2022/07/29 14:57:05 - mmengine - INFO - Epoch(train) [4][2380/2505] lr: 1.4000e-04 eta: 1 day, 14:27:05 time: 0.9233 data_time: 0.0291 memory: 32703 grad_norm: 32.8455 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8845 loss: 1.8845 2022/07/29 14:57:25 - mmengine - INFO - Epoch(train) [4][2400/2505] lr: 1.4000e-04 eta: 1 day, 14:26:40 time: 1.0069 data_time: 0.0319 memory: 32703 grad_norm: 32.6141 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8848 loss: 1.8848 2022/07/29 14:57:48 - mmengine - INFO - Epoch(train) [4][2420/2505] lr: 1.4000e-04 eta: 1 day, 14:26:48 time: 1.1259 data_time: 0.3090 memory: 32703 grad_norm: 33.1336 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8071 loss: 1.8071 2022/07/29 14:58:07 - mmengine - INFO - Epoch(train) [4][2440/2505] lr: 1.4000e-04 eta: 1 day, 14:26:08 time: 0.9522 data_time: 0.0307 memory: 32703 grad_norm: 33.9395 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9982 loss: 1.9982 2022/07/29 14:58:25 - mmengine - INFO - Epoch(train) [4][2460/2505] lr: 1.4000e-04 eta: 1 day, 14:25:21 time: 0.9227 data_time: 0.0280 memory: 32703 grad_norm: 32.5963 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9490 loss: 1.9490 2022/07/29 14:58:45 - mmengine - INFO - Epoch(train) [4][2480/2505] lr: 1.4000e-04 eta: 1 day, 14:24:55 time: 1.0032 data_time: 0.0296 memory: 32703 grad_norm: 33.8606 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9296 loss: 1.9296 2022/07/29 14:58:51 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 14:59:02 - mmengine - INFO - Epoch(train) [4][2500/2505] lr: 1.4000e-04 eta: 1 day, 14:23:46 time: 0.8428 data_time: 0.0280 memory: 32703 grad_norm: 32.7942 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9091 loss: 1.9091 2022/07/29 14:59:05 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 14:59:05 - mmengine - INFO - Epoch(train) [4][2505/2505] lr: 1.4000e-04 eta: 1 day, 14:23:46 time: 0.7114 data_time: 0.0210 memory: 32703 grad_norm: 33.2925 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8926 loss: 1.8926 2022/07/29 14:59:05 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/07/29 14:59:41 - mmengine - INFO - Epoch(train) [5][20/2505] lr: 1.7000e-04 eta: 1 day, 14:24:45 time: 1.5902 data_time: 0.9339 memory: 32703 grad_norm: 32.7901 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6424 loss: 1.6424 2022/07/29 14:59:57 - mmengine - INFO - Epoch(train) [5][40/2505] lr: 1.7000e-04 eta: 1 day, 14:23:28 time: 0.8108 data_time: 0.0897 memory: 32703 grad_norm: 32.1501 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6823 loss: 1.6823 2022/07/29 15:00:20 - mmengine - INFO - Epoch(train) [5][60/2505] lr: 1.7000e-04 eta: 1 day, 14:23:31 time: 1.1101 data_time: 0.0396 memory: 32703 grad_norm: 32.4642 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.8871 loss: 1.8871 2022/07/29 15:00:38 - mmengine - INFO - Epoch(train) [5][80/2505] lr: 1.7000e-04 eta: 1 day, 14:22:44 time: 0.9241 data_time: 0.0295 memory: 32703 grad_norm: 33.8309 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8062 loss: 1.8062 2022/07/29 15:00:58 - mmengine - INFO - Epoch(train) [5][100/2505] lr: 1.7000e-04 eta: 1 day, 14:22:16 time: 0.9927 data_time: 0.0253 memory: 32703 grad_norm: 31.4522 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8929 loss: 1.8929 2022/07/29 15:01:16 - mmengine - INFO - Epoch(train) [5][120/2505] lr: 1.7000e-04 eta: 1 day, 14:21:25 time: 0.9059 data_time: 0.0283 memory: 32703 grad_norm: 34.7836 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9164 loss: 1.9164 2022/07/29 15:01:37 - mmengine - INFO - Epoch(train) [5][140/2505] lr: 1.7000e-04 eta: 1 day, 14:21:09 time: 1.0409 data_time: 0.0680 memory: 32703 grad_norm: 31.8982 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6623 loss: 1.6623 2022/07/29 15:01:56 - mmengine - INFO - Epoch(train) [5][160/2505] lr: 1.7000e-04 eta: 1 day, 14:20:25 time: 0.9325 data_time: 0.0404 memory: 32703 grad_norm: 32.4006 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0235 loss: 2.0235 2022/07/29 15:02:15 - mmengine - INFO - Epoch(train) [5][180/2505] lr: 1.7000e-04 eta: 1 day, 14:19:57 time: 0.9933 data_time: 0.0318 memory: 32703 grad_norm: 32.7127 top1_acc: 0.1667 top5_acc: 0.7500 loss_cls: 1.8763 loss: 1.8763 2022/07/29 15:02:39 - mmengine - INFO - Epoch(train) [5][200/2505] lr: 1.7000e-04 eta: 1 day, 14:20:21 time: 1.1906 data_time: 0.2077 memory: 32703 grad_norm: 32.2558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7811 loss: 1.7811 2022/07/29 15:02:57 - mmengine - INFO - Epoch(train) [5][220/2505] lr: 1.7000e-04 eta: 1 day, 14:19:28 time: 0.8969 data_time: 0.0281 memory: 32703 grad_norm: 32.4505 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8499 loss: 1.8499 2022/07/29 15:03:16 - mmengine - INFO - Epoch(train) [5][240/2505] lr: 1.7000e-04 eta: 1 day, 14:18:46 time: 0.9391 data_time: 0.0288 memory: 32703 grad_norm: 31.0134 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5675 loss: 1.5675 2022/07/29 15:03:37 - mmengine - INFO - Epoch(train) [5][260/2505] lr: 1.7000e-04 eta: 1 day, 14:18:32 time: 1.0454 data_time: 0.0308 memory: 32703 grad_norm: 33.6440 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.1213 loss: 2.1213 2022/07/29 15:03:56 - mmengine - INFO - Epoch(train) [5][280/2505] lr: 1.7000e-04 eta: 1 day, 14:18:02 time: 0.9851 data_time: 0.0279 memory: 32703 grad_norm: 32.2648 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.1055 loss: 2.1055 2022/07/29 15:04:21 - mmengine - INFO - Epoch(train) [5][300/2505] lr: 1.7000e-04 eta: 1 day, 14:18:41 time: 1.2485 data_time: 0.0401 memory: 32703 grad_norm: 30.6326 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9920 loss: 1.9920 2022/07/29 15:04:37 - mmengine - INFO - Epoch(train) [5][320/2505] lr: 1.7000e-04 eta: 1 day, 14:17:22 time: 0.7974 data_time: 0.0280 memory: 32703 grad_norm: 32.3647 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8566 loss: 1.8566 2022/07/29 15:04:57 - mmengine - INFO - Epoch(train) [5][340/2505] lr: 1.7000e-04 eta: 1 day, 14:16:47 time: 0.9662 data_time: 0.0290 memory: 32703 grad_norm: 31.8149 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8023 loss: 1.8023 2022/07/29 15:05:16 - mmengine - INFO - Epoch(train) [5][360/2505] lr: 1.7000e-04 eta: 1 day, 14:16:16 time: 0.9815 data_time: 0.0335 memory: 32703 grad_norm: 32.9145 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7217 loss: 1.7217 2022/07/29 15:05:36 - mmengine - INFO - Epoch(train) [5][380/2505] lr: 1.7000e-04 eta: 1 day, 14:15:43 time: 0.9722 data_time: 0.0278 memory: 32703 grad_norm: 33.5538 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7773 loss: 1.7773 2022/07/29 15:05:57 - mmengine - INFO - Epoch(train) [5][400/2505] lr: 1.7000e-04 eta: 1 day, 14:15:39 time: 1.0839 data_time: 0.0283 memory: 32703 grad_norm: 31.6679 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.6879 loss: 1.6879 2022/07/29 15:06:15 - mmengine - INFO - Epoch(train) [5][420/2505] lr: 1.7000e-04 eta: 1 day, 14:14:47 time: 0.9004 data_time: 0.0271 memory: 32703 grad_norm: 32.4536 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.9241 loss: 1.9241 2022/07/29 15:06:36 - mmengine - INFO - Epoch(train) [5][440/2505] lr: 1.7000e-04 eta: 1 day, 14:14:33 time: 1.0452 data_time: 0.0336 memory: 32703 grad_norm: 32.1018 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8427 loss: 1.8427 2022/07/29 15:06:55 - mmengine - INFO - Epoch(train) [5][460/2505] lr: 1.7000e-04 eta: 1 day, 14:13:44 time: 0.9102 data_time: 0.0301 memory: 32703 grad_norm: 32.0898 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.6466 loss: 1.6466 2022/07/29 15:07:15 - mmengine - INFO - Epoch(train) [5][480/2505] lr: 1.7000e-04 eta: 1 day, 14:13:29 time: 1.0401 data_time: 0.0373 memory: 32703 grad_norm: 31.5117 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.8487 loss: 1.8487 2022/07/29 15:07:33 - mmengine - INFO - Epoch(train) [5][500/2505] lr: 1.7000e-04 eta: 1 day, 14:12:32 time: 0.8817 data_time: 0.0313 memory: 32703 grad_norm: 32.7053 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0183 loss: 2.0183 2022/07/29 15:07:53 - mmengine - INFO - Epoch(train) [5][520/2505] lr: 1.7000e-04 eta: 1 day, 14:12:05 time: 0.9932 data_time: 0.0319 memory: 32703 grad_norm: 31.3180 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8852 loss: 1.8852 2022/07/29 15:08:16 - mmengine - INFO - Epoch(train) [5][540/2505] lr: 1.7000e-04 eta: 1 day, 14:12:17 time: 1.1481 data_time: 0.0284 memory: 32703 grad_norm: 31.1193 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7336 loss: 1.7336 2022/07/29 15:08:34 - mmengine - INFO - Epoch(train) [5][560/2505] lr: 1.7000e-04 eta: 1 day, 14:11:31 time: 0.9193 data_time: 0.0282 memory: 32703 grad_norm: 31.3307 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0016 loss: 2.0016 2022/07/29 15:08:53 - mmengine - INFO - Epoch(train) [5][580/2505] lr: 1.7000e-04 eta: 1 day, 14:10:48 time: 0.9323 data_time: 0.0280 memory: 32703 grad_norm: 30.6172 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8485 loss: 1.8485 2022/07/29 15:09:14 - mmengine - INFO - Epoch(train) [5][600/2505] lr: 1.7000e-04 eta: 1 day, 14:10:32 time: 1.0395 data_time: 0.0307 memory: 32703 grad_norm: 31.1207 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7216 loss: 1.7216 2022/07/29 15:09:32 - mmengine - INFO - Epoch(train) [5][620/2505] lr: 1.7000e-04 eta: 1 day, 14:09:52 time: 0.9404 data_time: 0.0299 memory: 32703 grad_norm: 31.7138 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7775 loss: 1.7775 2022/07/29 15:09:53 - mmengine - INFO - Epoch(train) [5][640/2505] lr: 1.7000e-04 eta: 1 day, 14:09:31 time: 1.0197 data_time: 0.0295 memory: 32703 grad_norm: 31.1450 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8719 loss: 1.8719 2022/07/29 15:10:12 - mmengine - INFO - Epoch(train) [5][660/2505] lr: 1.7000e-04 eta: 1 day, 14:08:49 time: 0.9333 data_time: 0.0304 memory: 32703 grad_norm: 32.4396 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7714 loss: 1.7714 2022/07/29 15:10:33 - mmengine - INFO - Epoch(train) [5][680/2505] lr: 1.7000e-04 eta: 1 day, 14:08:39 time: 1.0637 data_time: 0.0606 memory: 32703 grad_norm: 31.8809 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7550 loss: 1.7550 2022/07/29 15:10:54 - mmengine - INFO - Epoch(train) [5][700/2505] lr: 1.7000e-04 eta: 1 day, 14:08:34 time: 1.0808 data_time: 0.0311 memory: 32703 grad_norm: 30.9082 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6811 loss: 1.6811 2022/07/29 15:11:14 - mmengine - INFO - Epoch(train) [5][720/2505] lr: 1.7000e-04 eta: 1 day, 14:08:03 time: 0.9792 data_time: 0.0313 memory: 32703 grad_norm: 30.4715 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9627 loss: 1.9627 2022/07/29 15:11:33 - mmengine - INFO - Epoch(train) [5][740/2505] lr: 1.7000e-04 eta: 1 day, 14:07:24 time: 0.9431 data_time: 0.0303 memory: 32703 grad_norm: 30.9737 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7917 loss: 1.7917 2022/07/29 15:11:52 - mmengine - INFO - Epoch(train) [5][760/2505] lr: 1.7000e-04 eta: 1 day, 14:06:47 time: 0.9552 data_time: 0.0266 memory: 32703 grad_norm: 31.4789 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6961 loss: 1.6961 2022/07/29 15:12:11 - mmengine - INFO - Epoch(train) [5][780/2505] lr: 1.7000e-04 eta: 1 day, 14:06:09 time: 0.9473 data_time: 0.0287 memory: 32703 grad_norm: 33.4903 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9579 loss: 1.9579 2022/07/29 15:12:31 - mmengine - INFO - Epoch(train) [5][800/2505] lr: 1.7000e-04 eta: 1 day, 14:05:39 time: 0.9821 data_time: 0.0264 memory: 32703 grad_norm: 32.1877 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.6370 loss: 1.6370 2022/07/29 15:12:51 - mmengine - INFO - Epoch(train) [5][820/2505] lr: 1.7000e-04 eta: 1 day, 14:05:21 time: 1.0301 data_time: 0.0284 memory: 32703 grad_norm: 32.1135 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9147 loss: 1.9147 2022/07/29 15:13:09 - mmengine - INFO - Epoch(train) [5][840/2505] lr: 1.7000e-04 eta: 1 day, 14:04:24 time: 0.8724 data_time: 0.0278 memory: 32703 grad_norm: 32.2003 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 2.0208 loss: 2.0208 2022/07/29 15:13:28 - mmengine - INFO - Epoch(train) [5][860/2505] lr: 1.7000e-04 eta: 1 day, 14:03:50 time: 0.9659 data_time: 0.0528 memory: 32703 grad_norm: 31.0535 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.9942 loss: 1.9942 2022/07/29 15:13:48 - mmengine - INFO - Epoch(train) [5][880/2505] lr: 1.7000e-04 eta: 1 day, 14:03:22 time: 0.9880 data_time: 0.0275 memory: 32703 grad_norm: 31.3900 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9018 loss: 1.9018 2022/07/29 15:14:08 - mmengine - INFO - Epoch(train) [5][900/2505] lr: 1.7000e-04 eta: 1 day, 14:03:01 time: 1.0163 data_time: 0.0277 memory: 32703 grad_norm: 30.5780 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7736 loss: 1.7736 2022/07/29 15:14:27 - mmengine - INFO - Epoch(train) [5][920/2505] lr: 1.7000e-04 eta: 1 day, 14:02:18 time: 0.9268 data_time: 0.0401 memory: 32703 grad_norm: 30.0851 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8790 loss: 1.8790 2022/07/29 15:14:47 - mmengine - INFO - Epoch(train) [5][940/2505] lr: 1.7000e-04 eta: 1 day, 14:01:53 time: 1.0020 data_time: 0.1724 memory: 32703 grad_norm: 32.1452 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8283 loss: 1.8283 2022/07/29 15:15:14 - mmengine - INFO - Epoch(train) [5][960/2505] lr: 1.7000e-04 eta: 1 day, 14:02:52 time: 1.3435 data_time: 0.1604 memory: 32703 grad_norm: 31.5514 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 2.0644 loss: 2.0644 2022/07/29 15:15:34 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 15:15:34 - mmengine - INFO - Epoch(train) [5][980/2505] lr: 1.7000e-04 eta: 1 day, 14:02:37 time: 1.0431 data_time: 0.1069 memory: 32703 grad_norm: 30.9822 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8722 loss: 1.8722 2022/07/29 15:15:54 - mmengine - INFO - Epoch(train) [5][1000/2505] lr: 1.7000e-04 eta: 1 day, 14:02:11 time: 0.9953 data_time: 0.1085 memory: 32703 grad_norm: 31.2462 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.9548 loss: 1.9548 2022/07/29 15:16:12 - mmengine - INFO - Epoch(train) [5][1020/2505] lr: 1.7000e-04 eta: 1 day, 14:01:22 time: 0.9027 data_time: 0.0405 memory: 32703 grad_norm: 31.9264 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 1.9442 loss: 1.9442 2022/07/29 15:16:45 - mmengine - INFO - Epoch(train) [5][1040/2505] lr: 1.7000e-04 eta: 1 day, 14:03:26 time: 1.6142 data_time: 0.2035 memory: 32703 grad_norm: 32.2372 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.7784 loss: 1.7784 2022/07/29 15:17:10 - mmengine - INFO - Epoch(train) [5][1060/2505] lr: 1.7000e-04 eta: 1 day, 14:04:05 time: 1.2673 data_time: 0.2297 memory: 32703 grad_norm: 33.0104 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9062 loss: 1.9062 2022/07/29 15:17:36 - mmengine - INFO - Epoch(train) [5][1080/2505] lr: 1.7000e-04 eta: 1 day, 14:04:49 time: 1.2856 data_time: 0.6633 memory: 32703 grad_norm: 31.3333 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5630 loss: 1.5630 2022/07/29 15:17:52 - mmengine - INFO - Epoch(train) [5][1100/2505] lr: 1.7000e-04 eta: 1 day, 14:03:36 time: 0.8043 data_time: 0.1801 memory: 32703 grad_norm: 30.3975 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0460 loss: 2.0460 2022/07/29 15:18:15 - mmengine - INFO - Epoch(train) [5][1120/2505] lr: 1.7000e-04 eta: 1 day, 14:03:47 time: 1.1525 data_time: 0.5396 memory: 32703 grad_norm: 33.2225 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9150 loss: 1.9150 2022/07/29 15:18:31 - mmengine - INFO - Epoch(train) [5][1140/2505] lr: 1.7000e-04 eta: 1 day, 14:02:36 time: 0.8118 data_time: 0.2348 memory: 32703 grad_norm: 30.7437 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.9530 loss: 1.9530 2022/07/29 15:18:55 - mmengine - INFO - Epoch(train) [5][1160/2505] lr: 1.7000e-04 eta: 1 day, 14:02:52 time: 1.1709 data_time: 0.5336 memory: 32703 grad_norm: 32.3606 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8396 loss: 1.8396 2022/07/29 15:19:14 - mmengine - INFO - Epoch(train) [5][1180/2505] lr: 1.7000e-04 eta: 1 day, 14:02:22 time: 0.9796 data_time: 0.1845 memory: 32703 grad_norm: 30.7604 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1975 loss: 2.1975 2022/07/29 15:19:35 - mmengine - INFO - Epoch(train) [5][1200/2505] lr: 1.7000e-04 eta: 1 day, 14:02:08 time: 1.0497 data_time: 0.3681 memory: 32703 grad_norm: 32.0679 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7236 loss: 1.7236 2022/07/29 15:19:57 - mmengine - INFO - Epoch(train) [5][1220/2505] lr: 1.7000e-04 eta: 1 day, 14:02:07 time: 1.1048 data_time: 0.1014 memory: 32703 grad_norm: 31.2807 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8636 loss: 1.8636 2022/07/29 15:20:16 - mmengine - INFO - Epoch(train) [5][1240/2505] lr: 1.7000e-04 eta: 1 day, 14:01:29 time: 0.9447 data_time: 0.0316 memory: 32703 grad_norm: 32.3190 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9265 loss: 1.9265 2022/07/29 15:20:36 - mmengine - INFO - Epoch(train) [5][1260/2505] lr: 1.7000e-04 eta: 1 day, 14:01:04 time: 1.0047 data_time: 0.0267 memory: 32703 grad_norm: 29.8276 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.8955 loss: 1.8955 2022/07/29 15:20:55 - mmengine - INFO - Epoch(train) [5][1280/2505] lr: 1.7000e-04 eta: 1 day, 14:00:23 time: 0.9336 data_time: 0.0302 memory: 32703 grad_norm: 30.2856 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9317 loss: 1.9317 2022/07/29 15:21:15 - mmengine - INFO - Epoch(train) [5][1300/2505] lr: 1.7000e-04 eta: 1 day, 13:59:55 time: 0.9874 data_time: 0.0307 memory: 32703 grad_norm: 30.5274 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9875 loss: 1.9875 2022/07/29 15:21:34 - mmengine - INFO - Epoch(train) [5][1320/2505] lr: 1.7000e-04 eta: 1 day, 13:59:24 time: 0.9794 data_time: 0.0267 memory: 32703 grad_norm: 30.4151 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6052 loss: 1.6052 2022/07/29 15:21:56 - mmengine - INFO - Epoch(train) [5][1340/2505] lr: 1.7000e-04 eta: 1 day, 13:59:23 time: 1.1016 data_time: 0.0283 memory: 32703 grad_norm: 31.9038 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 2.0165 loss: 2.0165 2022/07/29 15:22:14 - mmengine - INFO - Epoch(train) [5][1360/2505] lr: 1.7000e-04 eta: 1 day, 13:58:33 time: 0.8936 data_time: 0.0326 memory: 32703 grad_norm: 32.2627 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 2.0064 loss: 2.0064 2022/07/29 15:22:35 - mmengine - INFO - Epoch(train) [5][1380/2505] lr: 1.7000e-04 eta: 1 day, 13:58:22 time: 1.0628 data_time: 0.0759 memory: 32703 grad_norm: 30.9424 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8860 loss: 1.8860 2022/07/29 15:22:50 - mmengine - INFO - Epoch(train) [5][1400/2505] lr: 1.7000e-04 eta: 1 day, 13:56:55 time: 0.7358 data_time: 0.0671 memory: 32703 grad_norm: 30.6419 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8564 loss: 1.8564 2022/07/29 15:23:11 - mmengine - INFO - Epoch(train) [5][1420/2505] lr: 1.7000e-04 eta: 1 day, 13:56:43 time: 1.0569 data_time: 0.0261 memory: 32703 grad_norm: 31.9375 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8763 loss: 1.8763 2022/07/29 15:23:34 - mmengine - INFO - Epoch(train) [5][1440/2505] lr: 1.7000e-04 eta: 1 day, 13:56:49 time: 1.1365 data_time: 0.0385 memory: 32703 grad_norm: 30.2603 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6911 loss: 1.6911 2022/07/29 15:23:54 - mmengine - INFO - Epoch(train) [5][1460/2505] lr: 1.7000e-04 eta: 1 day, 13:56:29 time: 1.0202 data_time: 0.0534 memory: 32703 grad_norm: 31.4216 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8143 loss: 1.8143 2022/07/29 15:24:12 - mmengine - INFO - Epoch(train) [5][1480/2505] lr: 1.7000e-04 eta: 1 day, 13:55:33 time: 0.8673 data_time: 0.0485 memory: 32703 grad_norm: 30.6781 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 1.8216 loss: 1.8216 2022/07/29 15:24:32 - mmengine - INFO - Epoch(train) [5][1500/2505] lr: 1.7000e-04 eta: 1 day, 13:55:11 time: 1.0133 data_time: 0.0283 memory: 32703 grad_norm: 31.5689 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.9307 loss: 1.9307 2022/07/29 15:24:51 - mmengine - INFO - Epoch(train) [5][1520/2505] lr: 1.7000e-04 eta: 1 day, 13:54:40 time: 0.9749 data_time: 0.0735 memory: 32703 grad_norm: 31.9128 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 2.1673 loss: 2.1673 2022/07/29 15:25:10 - mmengine - INFO - Epoch(train) [5][1540/2505] lr: 1.7000e-04 eta: 1 day, 13:53:59 time: 0.9316 data_time: 0.0839 memory: 32703 grad_norm: 30.4807 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6966 loss: 1.6966 2022/07/29 15:25:30 - mmengine - INFO - Epoch(train) [5][1560/2505] lr: 1.7000e-04 eta: 1 day, 13:53:38 time: 1.0195 data_time: 0.3556 memory: 32703 grad_norm: 30.9085 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7531 loss: 1.7531 2022/07/29 15:25:53 - mmengine - INFO - Epoch(train) [5][1580/2505] lr: 1.7000e-04 eta: 1 day, 13:53:42 time: 1.1260 data_time: 0.2604 memory: 32703 grad_norm: 31.2659 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8563 loss: 1.8563 2022/07/29 15:26:11 - mmengine - INFO - Epoch(train) [5][1600/2505] lr: 1.7000e-04 eta: 1 day, 13:52:56 time: 0.9097 data_time: 0.0371 memory: 32703 grad_norm: 30.6496 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6793 loss: 1.6793 2022/07/29 15:26:29 - mmengine - INFO - Epoch(train) [5][1620/2505] lr: 1.7000e-04 eta: 1 day, 13:52:02 time: 0.8736 data_time: 0.0411 memory: 32703 grad_norm: 29.4863 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8161 loss: 1.8161 2022/07/29 15:26:51 - mmengine - INFO - Epoch(train) [5][1640/2505] lr: 1.7000e-04 eta: 1 day, 13:52:00 time: 1.0980 data_time: 0.0718 memory: 32703 grad_norm: 31.1434 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9657 loss: 1.9657 2022/07/29 15:27:15 - mmengine - INFO - Epoch(train) [5][1660/2505] lr: 1.7000e-04 eta: 1 day, 13:52:29 time: 1.2399 data_time: 0.1158 memory: 32703 grad_norm: 32.3264 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6328 loss: 1.6328 2022/07/29 15:27:37 - mmengine - INFO - Epoch(train) [5][1680/2505] lr: 1.7000e-04 eta: 1 day, 13:52:25 time: 1.0897 data_time: 0.0716 memory: 32703 grad_norm: 31.7350 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7612 loss: 1.7612 2022/07/29 15:27:55 - mmengine - INFO - Epoch(train) [5][1700/2505] lr: 1.7000e-04 eta: 1 day, 13:51:39 time: 0.9111 data_time: 0.0368 memory: 32703 grad_norm: 31.8255 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.9744 loss: 1.9744 2022/07/29 15:28:15 - mmengine - INFO - Epoch(train) [5][1720/2505] lr: 1.7000e-04 eta: 1 day, 13:51:14 time: 0.9959 data_time: 0.0265 memory: 32703 grad_norm: 31.1380 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4980 loss: 1.4980 2022/07/29 15:28:35 - mmengine - INFO - Epoch(train) [5][1740/2505] lr: 1.7000e-04 eta: 1 day, 13:50:47 time: 0.9923 data_time: 0.0304 memory: 32703 grad_norm: 31.6556 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8768 loss: 1.8768 2022/07/29 15:28:58 - mmengine - INFO - Epoch(train) [5][1760/2505] lr: 1.7000e-04 eta: 1 day, 13:50:51 time: 1.1278 data_time: 0.0413 memory: 32703 grad_norm: 31.7639 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.8904 loss: 1.8904 2022/07/29 15:29:15 - mmengine - INFO - Epoch(train) [5][1780/2505] lr: 1.7000e-04 eta: 1 day, 13:49:49 time: 0.8396 data_time: 0.0268 memory: 32703 grad_norm: 30.5177 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8931 loss: 1.8931 2022/07/29 15:29:37 - mmengine - INFO - Epoch(train) [5][1800/2505] lr: 1.7000e-04 eta: 1 day, 13:49:48 time: 1.1043 data_time: 0.0335 memory: 32703 grad_norm: 29.9138 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6526 loss: 1.6526 2022/07/29 15:29:55 - mmengine - INFO - Epoch(train) [5][1820/2505] lr: 1.7000e-04 eta: 1 day, 13:49:02 time: 0.9075 data_time: 0.0338 memory: 32703 grad_norm: 30.5883 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7555 loss: 1.7555 2022/07/29 15:30:16 - mmengine - INFO - Epoch(train) [5][1840/2505] lr: 1.7000e-04 eta: 1 day, 13:48:50 time: 1.0579 data_time: 0.0371 memory: 32703 grad_norm: 30.1894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7260 loss: 1.7260 2022/07/29 15:30:33 - mmengine - INFO - Epoch(train) [5][1860/2505] lr: 1.7000e-04 eta: 1 day, 13:47:56 time: 0.8690 data_time: 0.0344 memory: 32703 grad_norm: 30.7812 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7880 loss: 1.7880 2022/07/29 15:30:54 - mmengine - INFO - Epoch(train) [5][1880/2505] lr: 1.7000e-04 eta: 1 day, 13:47:40 time: 1.0400 data_time: 0.0456 memory: 32703 grad_norm: 31.7325 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6840 loss: 1.6840 2022/07/29 15:31:11 - mmengine - INFO - Epoch(train) [5][1900/2505] lr: 1.7000e-04 eta: 1 day, 13:46:43 time: 0.8554 data_time: 0.0291 memory: 32703 grad_norm: 31.5271 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.7607 loss: 1.7607 2022/07/29 15:31:36 - mmengine - INFO - Epoch(train) [5][1920/2505] lr: 1.7000e-04 eta: 1 day, 13:47:14 time: 1.2502 data_time: 0.2375 memory: 32703 grad_norm: 30.5725 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8109 loss: 1.8109 2022/07/29 15:31:58 - mmengine - INFO - Epoch(train) [5][1940/2505] lr: 1.7000e-04 eta: 1 day, 13:47:11 time: 1.1013 data_time: 0.4782 memory: 32703 grad_norm: 29.9594 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7649 loss: 1.7649 2022/07/29 15:32:15 - mmengine - INFO - Epoch(train) [5][1960/2505] lr: 1.7000e-04 eta: 1 day, 13:46:09 time: 0.8301 data_time: 0.2094 memory: 32703 grad_norm: 32.0437 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8486 loss: 1.8486 2022/07/29 15:32:36 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 15:32:36 - mmengine - INFO - Epoch(train) [5][1980/2505] lr: 1.7000e-04 eta: 1 day, 13:45:59 time: 1.0701 data_time: 0.3766 memory: 32703 grad_norm: 30.3610 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8136 loss: 1.8136 2022/07/29 15:32:55 - mmengine - INFO - Epoch(train) [5][2000/2505] lr: 1.7000e-04 eta: 1 day, 13:45:22 time: 0.9420 data_time: 0.3429 memory: 32703 grad_norm: 31.0221 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7904 loss: 1.7904 2022/07/29 15:33:17 - mmengine - INFO - Epoch(train) [5][2020/2505] lr: 1.7000e-04 eta: 1 day, 13:45:14 time: 1.0766 data_time: 0.2374 memory: 32703 grad_norm: 31.8571 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6647 loss: 1.6647 2022/07/29 15:33:36 - mmengine - INFO - Epoch(train) [5][2040/2505] lr: 1.7000e-04 eta: 1 day, 13:44:40 time: 0.9572 data_time: 0.0313 memory: 32703 grad_norm: 29.9858 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9700 loss: 1.9700 2022/07/29 15:33:56 - mmengine - INFO - Epoch(train) [5][2060/2505] lr: 1.7000e-04 eta: 1 day, 13:44:13 time: 0.9899 data_time: 0.0361 memory: 32703 grad_norm: 31.3659 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.8170 loss: 1.8170 2022/07/29 15:34:16 - mmengine - INFO - Epoch(train) [5][2080/2505] lr: 1.7000e-04 eta: 1 day, 13:43:54 time: 1.0265 data_time: 0.0285 memory: 32703 grad_norm: 30.7151 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8482 loss: 1.8482 2022/07/29 15:34:35 - mmengine - INFO - Epoch(train) [5][2100/2505] lr: 1.7000e-04 eta: 1 day, 13:43:13 time: 0.9254 data_time: 0.0291 memory: 32703 grad_norm: 31.7666 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8657 loss: 1.8657 2022/07/29 15:34:55 - mmengine - INFO - Epoch(train) [5][2120/2505] lr: 1.7000e-04 eta: 1 day, 13:42:48 time: 1.0000 data_time: 0.0316 memory: 32703 grad_norm: 29.8853 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6101 loss: 1.6101 2022/07/29 15:35:13 - mmengine - INFO - Epoch(train) [5][2140/2505] lr: 1.7000e-04 eta: 1 day, 13:42:08 time: 0.9329 data_time: 0.0338 memory: 32703 grad_norm: 31.5480 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9908 loss: 1.9908 2022/07/29 15:35:33 - mmengine - INFO - Epoch(train) [5][2160/2505] lr: 1.7000e-04 eta: 1 day, 13:41:43 time: 0.9945 data_time: 0.0304 memory: 32703 grad_norm: 30.9313 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7596 loss: 1.7596 2022/07/29 15:35:52 - mmengine - INFO - Epoch(train) [5][2180/2505] lr: 1.7000e-04 eta: 1 day, 13:41:01 time: 0.9237 data_time: 0.0314 memory: 32703 grad_norm: 31.0011 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8211 loss: 1.8211 2022/07/29 15:36:12 - mmengine - INFO - Epoch(train) [5][2200/2505] lr: 1.7000e-04 eta: 1 day, 13:40:45 time: 1.0401 data_time: 0.0274 memory: 32703 grad_norm: 30.5030 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7365 loss: 1.7365 2022/07/29 15:36:31 - mmengine - INFO - Epoch(train) [5][2220/2505] lr: 1.7000e-04 eta: 1 day, 13:40:10 time: 0.9494 data_time: 0.0284 memory: 32703 grad_norm: 30.8850 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9285 loss: 1.9285 2022/07/29 15:36:51 - mmengine - INFO - Epoch(train) [5][2240/2505] lr: 1.7000e-04 eta: 1 day, 13:39:38 time: 0.9644 data_time: 0.0270 memory: 32703 grad_norm: 30.4046 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6108 loss: 1.6108 2022/07/29 15:37:10 - mmengine - INFO - Epoch(train) [5][2260/2505] lr: 1.7000e-04 eta: 1 day, 13:39:09 time: 0.9834 data_time: 0.0429 memory: 32703 grad_norm: 29.7286 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7762 loss: 1.7762 2022/07/29 15:37:31 - mmengine - INFO - Epoch(train) [5][2280/2505] lr: 1.7000e-04 eta: 1 day, 13:38:48 time: 1.0155 data_time: 0.0281 memory: 32703 grad_norm: 27.6374 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7431 loss: 1.7431 2022/07/29 15:37:49 - mmengine - INFO - Epoch(train) [5][2300/2505] lr: 1.7000e-04 eta: 1 day, 13:38:06 time: 0.9200 data_time: 0.0281 memory: 32703 grad_norm: 29.5065 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7495 loss: 1.7495 2022/07/29 15:38:08 - mmengine - INFO - Epoch(train) [5][2320/2505] lr: 1.7000e-04 eta: 1 day, 13:37:30 time: 0.9444 data_time: 0.0290 memory: 32703 grad_norm: 30.1412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8425 loss: 1.8425 2022/07/29 15:38:28 - mmengine - INFO - Epoch(train) [5][2340/2505] lr: 1.7000e-04 eta: 1 day, 13:37:08 time: 1.0121 data_time: 0.0290 memory: 32703 grad_norm: 29.1198 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5416 loss: 1.5416 2022/07/29 15:38:48 - mmengine - INFO - Epoch(train) [5][2360/2505] lr: 1.7000e-04 eta: 1 day, 13:36:38 time: 0.9720 data_time: 0.0286 memory: 32703 grad_norm: 30.0639 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5364 loss: 1.5364 2022/07/29 15:39:09 - mmengine - INFO - Epoch(train) [5][2380/2505] lr: 1.7000e-04 eta: 1 day, 13:36:30 time: 1.0766 data_time: 0.0289 memory: 32703 grad_norm: 30.5897 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6491 loss: 1.6491 2022/07/29 15:39:26 - mmengine - INFO - Epoch(train) [5][2400/2505] lr: 1.7000e-04 eta: 1 day, 13:35:29 time: 0.8311 data_time: 0.0333 memory: 32703 grad_norm: 31.0652 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8158 loss: 1.8158 2022/07/29 15:39:48 - mmengine - INFO - Epoch(train) [5][2420/2505] lr: 1.7000e-04 eta: 1 day, 13:35:28 time: 1.1098 data_time: 0.0260 memory: 32703 grad_norm: 30.5344 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5877 loss: 1.5877 2022/07/29 15:40:08 - mmengine - INFO - Epoch(train) [5][2440/2505] lr: 1.7000e-04 eta: 1 day, 13:35:09 time: 1.0234 data_time: 0.0905 memory: 32703 grad_norm: 31.3432 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7292 loss: 1.7292 2022/07/29 15:40:28 - mmengine - INFO - Epoch(train) [5][2460/2505] lr: 1.7000e-04 eta: 1 day, 13:34:43 time: 0.9908 data_time: 0.0945 memory: 32703 grad_norm: 29.8517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9098 loss: 1.9098 2022/07/29 15:40:48 - mmengine - INFO - Epoch(train) [5][2480/2505] lr: 1.7000e-04 eta: 1 day, 13:34:11 time: 0.9636 data_time: 0.0878 memory: 32703 grad_norm: 30.8550 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6798 loss: 1.6798 2022/07/29 15:41:08 - mmengine - INFO - Epoch(train) [5][2500/2505] lr: 1.7000e-04 eta: 1 day, 13:33:56 time: 1.0439 data_time: 0.4147 memory: 32703 grad_norm: 30.7710 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0514 loss: 2.0514 2022/07/29 15:41:11 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 15:41:11 - mmengine - INFO - Epoch(train) [5][2505/2505] lr: 1.7000e-04 eta: 1 day, 13:33:56 time: 0.6266 data_time: 0.0197 memory: 32703 grad_norm: 32.5886 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.1071 loss: 2.1071 2022/07/29 15:41:38 - mmengine - INFO - Epoch(train) [6][20/2505] lr: 2.0000e-04 eta: 1 day, 13:33:37 time: 1.3071 data_time: 0.6909 memory: 32703 grad_norm: 30.5443 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8757 loss: 1.8757 2022/07/29 15:41:56 - mmengine - INFO - Epoch(train) [6][40/2505] lr: 2.0000e-04 eta: 1 day, 13:33:00 time: 0.9394 data_time: 0.2748 memory: 32703 grad_norm: 32.1460 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8059 loss: 1.8059 2022/07/29 15:42:18 - mmengine - INFO - Epoch(train) [6][60/2505] lr: 2.0000e-04 eta: 1 day, 13:32:48 time: 1.0588 data_time: 0.1797 memory: 32703 grad_norm: 29.5517 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7813 loss: 1.7813 2022/07/29 15:42:36 - mmengine - INFO - Epoch(train) [6][80/2505] lr: 2.0000e-04 eta: 1 day, 13:32:14 time: 0.9538 data_time: 0.1513 memory: 32703 grad_norm: 29.7735 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8608 loss: 1.8608 2022/07/29 15:42:58 - mmengine - INFO - Epoch(train) [6][100/2505] lr: 2.0000e-04 eta: 1 day, 13:32:03 time: 1.0611 data_time: 0.1671 memory: 32703 grad_norm: 30.9755 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5721 loss: 1.5721 2022/07/29 15:43:16 - mmengine - INFO - Epoch(train) [6][120/2505] lr: 2.0000e-04 eta: 1 day, 13:31:22 time: 0.9194 data_time: 0.0967 memory: 32703 grad_norm: 29.7981 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.9483 loss: 1.9483 2022/07/29 15:43:36 - mmengine - INFO - Epoch(train) [6][140/2505] lr: 2.0000e-04 eta: 1 day, 13:31:01 time: 1.0142 data_time: 0.1122 memory: 32703 grad_norm: 29.5428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7822 loss: 1.7822 2022/07/29 15:43:54 - mmengine - INFO - Epoch(train) [6][160/2505] lr: 2.0000e-04 eta: 1 day, 13:30:13 time: 0.8883 data_time: 0.0318 memory: 32703 grad_norm: 30.6592 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8240 loss: 1.8240 2022/07/29 15:44:16 - mmengine - INFO - Epoch(train) [6][180/2505] lr: 2.0000e-04 eta: 1 day, 13:30:10 time: 1.0991 data_time: 0.0714 memory: 32703 grad_norm: 30.0026 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.7314 loss: 1.7314 2022/07/29 15:44:34 - mmengine - INFO - Epoch(train) [6][200/2505] lr: 2.0000e-04 eta: 1 day, 13:29:24 time: 0.8971 data_time: 0.0272 memory: 32703 grad_norm: 30.4700 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8128 loss: 1.8128 2022/07/29 15:44:56 - mmengine - INFO - Epoch(train) [6][220/2505] lr: 2.0000e-04 eta: 1 day, 13:29:18 time: 1.0899 data_time: 0.0307 memory: 32703 grad_norm: 29.9883 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.6579 loss: 1.6579 2022/07/29 15:45:20 - mmengine - INFO - Epoch(train) [6][240/2505] lr: 2.0000e-04 eta: 1 day, 13:29:36 time: 1.1998 data_time: 0.0470 memory: 32703 grad_norm: 29.2301 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7117 loss: 1.7117 2022/07/29 15:45:39 - mmengine - INFO - Epoch(train) [6][260/2505] lr: 2.0000e-04 eta: 1 day, 13:29:01 time: 0.9469 data_time: 0.0346 memory: 32703 grad_norm: 30.2590 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8914 loss: 1.8914 2022/07/29 15:45:56 - mmengine - INFO - Epoch(train) [6][280/2505] lr: 2.0000e-04 eta: 1 day, 13:28:11 time: 0.8773 data_time: 0.0281 memory: 32703 grad_norm: 29.4320 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7796 loss: 1.7796 2022/07/29 15:46:17 - mmengine - INFO - Epoch(train) [6][300/2505] lr: 2.0000e-04 eta: 1 day, 13:27:58 time: 1.0546 data_time: 0.0302 memory: 32703 grad_norm: 31.1552 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7933 loss: 1.7933 2022/07/29 15:46:35 - mmengine - INFO - Epoch(train) [6][320/2505] lr: 2.0000e-04 eta: 1 day, 13:27:04 time: 0.8535 data_time: 0.0268 memory: 32703 grad_norm: 29.2359 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.9282 loss: 1.9282 2022/07/29 15:46:56 - mmengine - INFO - Epoch(train) [6][340/2505] lr: 2.0000e-04 eta: 1 day, 13:26:56 time: 1.0781 data_time: 0.0307 memory: 32703 grad_norm: 31.5053 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7675 loss: 1.7675 2022/07/29 15:47:17 - mmengine - INFO - Epoch(train) [6][360/2505] lr: 2.0000e-04 eta: 1 day, 13:26:36 time: 1.0221 data_time: 0.0261 memory: 32703 grad_norm: 31.5754 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6344 loss: 1.6344 2022/07/29 15:47:37 - mmengine - INFO - Epoch(train) [6][380/2505] lr: 2.0000e-04 eta: 1 day, 13:26:13 time: 1.0045 data_time: 0.0294 memory: 32703 grad_norm: 29.6509 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.9272 loss: 1.9272 2022/07/29 15:47:59 - mmengine - INFO - Epoch(train) [6][400/2505] lr: 2.0000e-04 eta: 1 day, 13:26:16 time: 1.1323 data_time: 0.1003 memory: 32703 grad_norm: 29.9918 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6494 loss: 1.6494 2022/07/29 15:48:21 - mmengine - INFO - Epoch(train) [6][420/2505] lr: 2.0000e-04 eta: 1 day, 13:26:09 time: 1.0808 data_time: 0.0551 memory: 32703 grad_norm: 30.0180 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.8684 loss: 1.8684 2022/07/29 15:48:44 - mmengine - INFO - Epoch(train) [6][440/2505] lr: 2.0000e-04 eta: 1 day, 13:26:18 time: 1.1629 data_time: 0.0277 memory: 32703 grad_norm: 28.1337 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5800 loss: 1.5800 2022/07/29 15:49:00 - mmengine - INFO - Epoch(train) [6][460/2505] lr: 2.0000e-04 eta: 1 day, 13:25:15 time: 0.8082 data_time: 0.0318 memory: 32703 grad_norm: 30.3841 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9370 loss: 1.9370 2022/07/29 15:49:16 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 15:49:21 - mmengine - INFO - Epoch(train) [6][480/2505] lr: 2.0000e-04 eta: 1 day, 13:24:53 time: 1.0104 data_time: 0.0289 memory: 32703 grad_norm: 29.8605 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6703 loss: 1.6703 2022/07/29 15:49:40 - mmengine - INFO - Epoch(train) [6][500/2505] lr: 2.0000e-04 eta: 1 day, 13:24:26 time: 0.9873 data_time: 0.0267 memory: 32703 grad_norm: 30.6746 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8070 loss: 1.8070 2022/07/29 15:50:01 - mmengine - INFO - Epoch(train) [6][520/2505] lr: 2.0000e-04 eta: 1 day, 13:24:14 time: 1.0593 data_time: 0.0732 memory: 32703 grad_norm: 29.8147 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8110 loss: 1.8110 2022/07/29 15:50:21 - mmengine - INFO - Epoch(train) [6][540/2505] lr: 2.0000e-04 eta: 1 day, 13:23:49 time: 0.9949 data_time: 0.0476 memory: 32703 grad_norm: 30.0738 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6187 loss: 1.6187 2022/07/29 15:50:41 - mmengine - INFO - Epoch(train) [6][560/2505] lr: 2.0000e-04 eta: 1 day, 13:23:18 time: 0.9652 data_time: 0.0920 memory: 32703 grad_norm: 29.6817 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.7882 loss: 1.7882 2022/07/29 15:51:00 - mmengine - INFO - Epoch(train) [6][580/2505] lr: 2.0000e-04 eta: 1 day, 13:22:50 time: 0.9815 data_time: 0.0377 memory: 32703 grad_norm: 29.5246 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9739 loss: 1.9739 2022/07/29 15:51:20 - mmengine - INFO - Epoch(train) [6][600/2505] lr: 2.0000e-04 eta: 1 day, 13:22:20 time: 0.9705 data_time: 0.0267 memory: 32703 grad_norm: 30.9350 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.7982 loss: 1.7982 2022/07/29 15:51:40 - mmengine - INFO - Epoch(train) [6][620/2505] lr: 2.0000e-04 eta: 1 day, 13:22:00 time: 1.0195 data_time: 0.0363 memory: 32703 grad_norm: 28.8488 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7957 loss: 1.7957 2022/07/29 15:51:59 - mmengine - INFO - Epoch(train) [6][640/2505] lr: 2.0000e-04 eta: 1 day, 13:21:25 time: 0.9455 data_time: 0.0296 memory: 32703 grad_norm: 29.1195 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6444 loss: 1.6444 2022/07/29 15:52:20 - mmengine - INFO - Epoch(train) [6][660/2505] lr: 2.0000e-04 eta: 1 day, 13:21:08 time: 1.0318 data_time: 0.0292 memory: 32703 grad_norm: 29.9501 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5985 loss: 1.5985 2022/07/29 15:52:43 - mmengine - INFO - Epoch(train) [6][680/2505] lr: 2.0000e-04 eta: 1 day, 13:21:12 time: 1.1435 data_time: 0.0481 memory: 32703 grad_norm: 31.4919 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0318 loss: 2.0318 2022/07/29 15:53:02 - mmengine - INFO - Epoch(train) [6][700/2505] lr: 2.0000e-04 eta: 1 day, 13:20:46 time: 0.9889 data_time: 0.0304 memory: 32703 grad_norm: 29.5961 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7948 loss: 1.7948 2022/07/29 15:53:22 - mmengine - INFO - Epoch(train) [6][720/2505] lr: 2.0000e-04 eta: 1 day, 13:20:21 time: 0.9939 data_time: 0.0308 memory: 32703 grad_norm: 30.3370 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.8022 loss: 1.8022 2022/07/29 15:53:41 - mmengine - INFO - Epoch(train) [6][740/2505] lr: 2.0000e-04 eta: 1 day, 13:19:40 time: 0.9159 data_time: 0.0293 memory: 32703 grad_norm: 29.8692 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7142 loss: 1.7142 2022/07/29 15:54:00 - mmengine - INFO - Epoch(train) [6][760/2505] lr: 2.0000e-04 eta: 1 day, 13:19:14 time: 0.9885 data_time: 0.0351 memory: 32703 grad_norm: 28.8469 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7044 loss: 1.7044 2022/07/29 15:54:21 - mmengine - INFO - Epoch(train) [6][780/2505] lr: 2.0000e-04 eta: 1 day, 13:18:54 time: 1.0209 data_time: 0.0280 memory: 32703 grad_norm: 30.5389 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6863 loss: 1.6863 2022/07/29 15:54:41 - mmengine - INFO - Epoch(train) [6][800/2505] lr: 2.0000e-04 eta: 1 day, 13:18:36 time: 1.0296 data_time: 0.0591 memory: 32703 grad_norm: 29.3052 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 2.0433 loss: 2.0433 2022/07/29 15:55:03 - mmengine - INFO - Epoch(train) [6][820/2505] lr: 2.0000e-04 eta: 1 day, 13:18:26 time: 1.0675 data_time: 0.0391 memory: 32703 grad_norm: 29.9691 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9665 loss: 1.9665 2022/07/29 15:55:22 - mmengine - INFO - Epoch(train) [6][840/2505] lr: 2.0000e-04 eta: 1 day, 13:17:57 time: 0.9774 data_time: 0.0349 memory: 32703 grad_norm: 30.4661 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6188 loss: 1.6188 2022/07/29 15:55:42 - mmengine - INFO - Epoch(train) [6][860/2505] lr: 2.0000e-04 eta: 1 day, 13:17:32 time: 0.9920 data_time: 0.0298 memory: 32703 grad_norm: 29.8006 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7665 loss: 1.7665 2022/07/29 15:56:00 - mmengine - INFO - Epoch(train) [6][880/2505] lr: 2.0000e-04 eta: 1 day, 13:16:53 time: 0.9207 data_time: 0.0380 memory: 32703 grad_norm: 29.3747 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9271 loss: 1.9271 2022/07/29 15:56:21 - mmengine - INFO - Epoch(train) [6][900/2505] lr: 2.0000e-04 eta: 1 day, 13:16:31 time: 1.0094 data_time: 0.0259 memory: 32703 grad_norm: 28.8188 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9468 loss: 1.9468 2022/07/29 15:56:40 - mmengine - INFO - Epoch(train) [6][920/2505] lr: 2.0000e-04 eta: 1 day, 13:15:56 time: 0.9446 data_time: 0.0272 memory: 32703 grad_norm: 31.1800 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8480 loss: 1.8480 2022/07/29 15:56:58 - mmengine - INFO - Epoch(train) [6][940/2505] lr: 2.0000e-04 eta: 1 day, 13:15:18 time: 0.9291 data_time: 0.0285 memory: 32703 grad_norm: 29.8675 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7874 loss: 1.7874 2022/07/29 15:57:19 - mmengine - INFO - Epoch(train) [6][960/2505] lr: 2.0000e-04 eta: 1 day, 13:15:00 time: 1.0282 data_time: 0.0341 memory: 32703 grad_norm: 29.5593 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7600 loss: 1.7600 2022/07/29 15:57:38 - mmengine - INFO - Epoch(train) [6][980/2505] lr: 2.0000e-04 eta: 1 day, 13:14:25 time: 0.9423 data_time: 0.0271 memory: 32703 grad_norm: 29.7461 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6853 loss: 1.6853 2022/07/29 15:57:56 - mmengine - INFO - Epoch(train) [6][1000/2505] lr: 2.0000e-04 eta: 1 day, 13:13:42 time: 0.9010 data_time: 0.0265 memory: 32703 grad_norm: 28.5284 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8189 loss: 1.8189 2022/07/29 15:58:16 - mmengine - INFO - Epoch(train) [6][1020/2505] lr: 2.0000e-04 eta: 1 day, 13:13:26 time: 1.0368 data_time: 0.0385 memory: 32703 grad_norm: 29.3164 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8038 loss: 1.8038 2022/07/29 15:58:34 - mmengine - INFO - Epoch(train) [6][1040/2505] lr: 2.0000e-04 eta: 1 day, 13:12:44 time: 0.9079 data_time: 0.0383 memory: 32703 grad_norm: 29.8129 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9118 loss: 1.9118 2022/07/29 15:58:55 - mmengine - INFO - Epoch(train) [6][1060/2505] lr: 2.0000e-04 eta: 1 day, 13:12:21 time: 1.0029 data_time: 0.0348 memory: 32703 grad_norm: 30.5379 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6056 loss: 1.6056 2022/07/29 15:59:19 - mmengine - INFO - Epoch(train) [6][1080/2505] lr: 2.0000e-04 eta: 1 day, 13:12:38 time: 1.2122 data_time: 0.0272 memory: 32703 grad_norm: 29.6387 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.9915 loss: 1.9915 2022/07/29 15:59:38 - mmengine - INFO - Epoch(train) [6][1100/2505] lr: 2.0000e-04 eta: 1 day, 13:12:07 time: 0.9604 data_time: 0.0432 memory: 32703 grad_norm: 31.0230 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.0041 loss: 2.0041 2022/07/29 15:59:58 - mmengine - INFO - Epoch(train) [6][1120/2505] lr: 2.0000e-04 eta: 1 day, 13:11:43 time: 1.0002 data_time: 0.0269 memory: 32703 grad_norm: 30.4162 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8497 loss: 1.8497 2022/07/29 16:00:16 - mmengine - INFO - Epoch(train) [6][1140/2505] lr: 2.0000e-04 eta: 1 day, 13:10:57 time: 0.8811 data_time: 0.0285 memory: 32703 grad_norm: 30.9151 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7982 loss: 1.7982 2022/07/29 16:00:38 - mmengine - INFO - Epoch(train) [6][1160/2505] lr: 2.0000e-04 eta: 1 day, 13:10:55 time: 1.1136 data_time: 0.0416 memory: 32703 grad_norm: 30.9746 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 2.0237 loss: 2.0237 2022/07/29 16:00:55 - mmengine - INFO - Epoch(train) [6][1180/2505] lr: 2.0000e-04 eta: 1 day, 13:10:01 time: 0.8434 data_time: 0.0323 memory: 32703 grad_norm: 32.6432 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.9483 loss: 1.9483 2022/07/29 16:01:15 - mmengine - INFO - Epoch(train) [6][1200/2505] lr: 2.0000e-04 eta: 1 day, 13:09:38 time: 1.0024 data_time: 0.0288 memory: 32703 grad_norm: 30.7683 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6472 loss: 1.6472 2022/07/29 16:01:33 - mmengine - INFO - Epoch(train) [6][1220/2505] lr: 2.0000e-04 eta: 1 day, 13:08:54 time: 0.8934 data_time: 0.0324 memory: 32703 grad_norm: 29.4652 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6415 loss: 1.6415 2022/07/29 16:01:53 - mmengine - INFO - Epoch(train) [6][1240/2505] lr: 2.0000e-04 eta: 1 day, 13:08:36 time: 1.0263 data_time: 0.0302 memory: 32703 grad_norm: 28.7351 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9585 loss: 1.9585 2022/07/29 16:02:12 - mmengine - INFO - Epoch(train) [6][1260/2505] lr: 2.0000e-04 eta: 1 day, 13:08:00 time: 0.9332 data_time: 0.0320 memory: 32703 grad_norm: 29.8200 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 2.0715 loss: 2.0715 2022/07/29 16:02:32 - mmengine - INFO - Epoch(train) [6][1280/2505] lr: 2.0000e-04 eta: 1 day, 13:07:35 time: 0.9941 data_time: 0.0275 memory: 32703 grad_norm: 29.0088 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6242 loss: 1.6242 2022/07/29 16:02:51 - mmengine - INFO - Epoch(train) [6][1300/2505] lr: 2.0000e-04 eta: 1 day, 13:07:03 time: 0.9575 data_time: 0.0291 memory: 32703 grad_norm: 30.0304 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7590 loss: 1.7590 2022/07/29 16:03:10 - mmengine - INFO - Epoch(train) [6][1320/2505] lr: 2.0000e-04 eta: 1 day, 13:06:32 time: 0.9562 data_time: 0.0295 memory: 32703 grad_norm: 28.2396 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6540 loss: 1.6540 2022/07/29 16:03:30 - mmengine - INFO - Epoch(train) [6][1340/2505] lr: 2.0000e-04 eta: 1 day, 13:06:11 time: 1.0165 data_time: 0.0280 memory: 32703 grad_norm: 29.6290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7689 loss: 1.7689 2022/07/29 16:03:50 - mmengine - INFO - Epoch(train) [6][1360/2505] lr: 2.0000e-04 eta: 1 day, 13:05:47 time: 0.9962 data_time: 0.0296 memory: 32703 grad_norm: 29.5427 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6098 loss: 1.6098 2022/07/29 16:04:11 - mmengine - INFO - Epoch(train) [6][1380/2505] lr: 2.0000e-04 eta: 1 day, 13:05:29 time: 1.0290 data_time: 0.0277 memory: 32703 grad_norm: 28.7873 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6600 loss: 1.6600 2022/07/29 16:04:31 - mmengine - INFO - Epoch(train) [6][1400/2505] lr: 2.0000e-04 eta: 1 day, 13:05:03 time: 0.9833 data_time: 0.0314 memory: 32703 grad_norm: 30.0442 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9546 loss: 1.9546 2022/07/29 16:04:49 - mmengine - INFO - Epoch(train) [6][1420/2505] lr: 2.0000e-04 eta: 1 day, 13:04:25 time: 0.9252 data_time: 0.0245 memory: 32703 grad_norm: 29.4993 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8204 loss: 1.8204 2022/07/29 16:05:10 - mmengine - INFO - Epoch(train) [6][1440/2505] lr: 2.0000e-04 eta: 1 day, 13:04:08 time: 1.0325 data_time: 0.0264 memory: 32703 grad_norm: 29.4673 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8608 loss: 1.8608 2022/07/29 16:05:29 - mmengine - INFO - Epoch(train) [6][1460/2505] lr: 2.0000e-04 eta: 1 day, 13:03:39 time: 0.9723 data_time: 0.0269 memory: 32703 grad_norm: 29.1415 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6960 loss: 1.6960 2022/07/29 16:05:44 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 16:05:48 - mmengine - INFO - Epoch(train) [6][1480/2505] lr: 2.0000e-04 eta: 1 day, 13:03:03 time: 0.9330 data_time: 0.0400 memory: 32703 grad_norm: 30.8448 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6808 loss: 1.6808 2022/07/29 16:06:08 - mmengine - INFO - Epoch(train) [6][1500/2505] lr: 2.0000e-04 eta: 1 day, 13:02:38 time: 0.9891 data_time: 0.0275 memory: 32703 grad_norm: 30.8032 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0381 loss: 2.0381 2022/07/29 16:06:26 - mmengine - INFO - Epoch(train) [6][1520/2505] lr: 2.0000e-04 eta: 1 day, 13:01:58 time: 0.9088 data_time: 0.0271 memory: 32703 grad_norm: 28.8959 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9408 loss: 1.9408 2022/07/29 16:06:47 - mmengine - INFO - Epoch(train) [6][1540/2505] lr: 2.0000e-04 eta: 1 day, 13:01:49 time: 1.0752 data_time: 0.0260 memory: 32703 grad_norm: 30.1340 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9776 loss: 1.9776 2022/07/29 16:07:09 - mmengine - INFO - Epoch(train) [6][1560/2505] lr: 2.0000e-04 eta: 1 day, 13:01:38 time: 1.0683 data_time: 0.1421 memory: 32703 grad_norm: 30.1701 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6787 loss: 1.6787 2022/07/29 16:07:28 - mmengine - INFO - Epoch(train) [6][1580/2505] lr: 2.0000e-04 eta: 1 day, 13:01:11 time: 0.9823 data_time: 0.0271 memory: 32703 grad_norm: 28.3731 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6200 loss: 1.6200 2022/07/29 16:07:47 - mmengine - INFO - Epoch(train) [6][1600/2505] lr: 2.0000e-04 eta: 1 day, 13:00:35 time: 0.9282 data_time: 0.0306 memory: 32703 grad_norm: 29.3092 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8791 loss: 1.8791 2022/07/29 16:08:07 - mmengine - INFO - Epoch(train) [6][1620/2505] lr: 2.0000e-04 eta: 1 day, 13:00:14 time: 1.0135 data_time: 0.0263 memory: 32703 grad_norm: 27.9675 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7339 loss: 1.7339 2022/07/29 16:08:25 - mmengine - INFO - Epoch(train) [6][1640/2505] lr: 2.0000e-04 eta: 1 day, 12:59:30 time: 0.8864 data_time: 0.0355 memory: 32703 grad_norm: 29.6060 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 2.1308 loss: 2.1308 2022/07/29 16:08:46 - mmengine - INFO - Epoch(train) [6][1660/2505] lr: 2.0000e-04 eta: 1 day, 12:59:20 time: 1.0728 data_time: 0.0274 memory: 32703 grad_norm: 28.7823 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0034 loss: 2.0034 2022/07/29 16:09:04 - mmengine - INFO - Epoch(train) [6][1680/2505] lr: 2.0000e-04 eta: 1 day, 12:58:40 time: 0.9108 data_time: 0.0305 memory: 32703 grad_norm: 28.7784 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6401 loss: 1.6401 2022/07/29 16:09:26 - mmengine - INFO - Epoch(train) [6][1700/2505] lr: 2.0000e-04 eta: 1 day, 12:58:29 time: 1.0651 data_time: 0.0266 memory: 32703 grad_norm: 29.0648 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8592 loss: 1.8592 2022/07/29 16:09:44 - mmengine - INFO - Epoch(train) [6][1720/2505] lr: 2.0000e-04 eta: 1 day, 12:57:48 time: 0.9004 data_time: 0.0302 memory: 32703 grad_norm: 28.1189 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6617 loss: 1.6617 2022/07/29 16:10:06 - mmengine - INFO - Epoch(train) [6][1740/2505] lr: 2.0000e-04 eta: 1 day, 12:57:49 time: 1.1313 data_time: 0.0281 memory: 32703 grad_norm: 28.6114 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.8238 loss: 1.8238 2022/07/29 16:10:25 - mmengine - INFO - Epoch(train) [6][1760/2505] lr: 2.0000e-04 eta: 1 day, 12:57:11 time: 0.9191 data_time: 0.0267 memory: 32703 grad_norm: 29.7473 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8640 loss: 1.8640 2022/07/29 16:10:45 - mmengine - INFO - Epoch(train) [6][1780/2505] lr: 2.0000e-04 eta: 1 day, 12:56:52 time: 1.0271 data_time: 0.0283 memory: 32703 grad_norm: 28.0775 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6834 loss: 1.6834 2022/07/29 16:11:03 - mmengine - INFO - Epoch(train) [6][1800/2505] lr: 2.0000e-04 eta: 1 day, 12:56:09 time: 0.8909 data_time: 0.0322 memory: 32703 grad_norm: 30.1088 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5452 loss: 1.5452 2022/07/29 16:11:22 - mmengine - INFO - Epoch(train) [6][1820/2505] lr: 2.0000e-04 eta: 1 day, 12:55:39 time: 0.9615 data_time: 0.0310 memory: 32703 grad_norm: 30.1450 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7919 loss: 1.7919 2022/07/29 16:11:41 - mmengine - INFO - Epoch(train) [6][1840/2505] lr: 2.0000e-04 eta: 1 day, 12:55:05 time: 0.9377 data_time: 0.0337 memory: 32703 grad_norm: 30.7710 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.1698 loss: 2.1698 2022/07/29 16:12:02 - mmengine - INFO - Epoch(train) [6][1860/2505] lr: 2.0000e-04 eta: 1 day, 12:54:54 time: 1.0653 data_time: 0.0412 memory: 32703 grad_norm: 28.6560 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6218 loss: 1.6218 2022/07/29 16:12:21 - mmengine - INFO - Epoch(train) [6][1880/2505] lr: 2.0000e-04 eta: 1 day, 12:54:18 time: 0.9308 data_time: 0.0264 memory: 32703 grad_norm: 28.2224 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5582 loss: 1.5582 2022/07/29 16:12:40 - mmengine - INFO - Epoch(train) [6][1900/2505] lr: 2.0000e-04 eta: 1 day, 12:53:47 time: 0.9555 data_time: 0.0288 memory: 32703 grad_norm: 30.6004 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 2.0991 loss: 2.0991 2022/07/29 16:12:59 - mmengine - INFO - Epoch(train) [6][1920/2505] lr: 2.0000e-04 eta: 1 day, 12:53:15 time: 0.9493 data_time: 0.0510 memory: 32703 grad_norm: 29.0398 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9536 loss: 1.9536 2022/07/29 16:13:21 - mmengine - INFO - Epoch(train) [6][1940/2505] lr: 2.0000e-04 eta: 1 day, 12:53:04 time: 1.0670 data_time: 0.0278 memory: 32703 grad_norm: 29.6947 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7368 loss: 1.7368 2022/07/29 16:13:39 - mmengine - INFO - Epoch(train) [6][1960/2505] lr: 2.0000e-04 eta: 1 day, 12:52:25 time: 0.9121 data_time: 0.0633 memory: 32703 grad_norm: 29.9094 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5922 loss: 1.5922 2022/07/29 16:13:58 - mmengine - INFO - Epoch(train) [6][1980/2505] lr: 2.0000e-04 eta: 1 day, 12:51:52 time: 0.9421 data_time: 0.0275 memory: 32703 grad_norm: 29.9440 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8240 loss: 1.8240 2022/07/29 16:14:18 - mmengine - INFO - Epoch(train) [6][2000/2505] lr: 2.0000e-04 eta: 1 day, 12:51:29 time: 1.0043 data_time: 0.0289 memory: 32703 grad_norm: 29.6947 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9552 loss: 1.9552 2022/07/29 16:14:37 - mmengine - INFO - Epoch(train) [6][2020/2505] lr: 2.0000e-04 eta: 1 day, 12:50:57 time: 0.9463 data_time: 0.0267 memory: 32703 grad_norm: 29.1696 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9744 loss: 1.9744 2022/07/29 16:14:56 - mmengine - INFO - Epoch(train) [6][2040/2505] lr: 2.0000e-04 eta: 1 day, 12:50:26 time: 0.9591 data_time: 0.0257 memory: 32703 grad_norm: 30.0100 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8873 loss: 1.8873 2022/07/29 16:15:16 - mmengine - INFO - Epoch(train) [6][2060/2505] lr: 2.0000e-04 eta: 1 day, 12:50:06 time: 1.0146 data_time: 0.0328 memory: 32703 grad_norm: 29.1237 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6308 loss: 1.6308 2022/07/29 16:15:36 - mmengine - INFO - Epoch(train) [6][2080/2505] lr: 2.0000e-04 eta: 1 day, 12:49:39 time: 0.9766 data_time: 0.0293 memory: 32703 grad_norm: 29.1478 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8816 loss: 1.8816 2022/07/29 16:16:00 - mmengine - INFO - Epoch(train) [6][2100/2505] lr: 2.0000e-04 eta: 1 day, 12:49:56 time: 1.2197 data_time: 0.0594 memory: 32703 grad_norm: 27.6060 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7988 loss: 1.7988 2022/07/29 16:16:17 - mmengine - INFO - Epoch(train) [6][2120/2505] lr: 2.0000e-04 eta: 1 day, 12:49:06 time: 0.8499 data_time: 0.0258 memory: 32703 grad_norm: 27.7202 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.8823 loss: 1.8823 2022/07/29 16:16:38 - mmengine - INFO - Epoch(train) [6][2140/2505] lr: 2.0000e-04 eta: 1 day, 12:48:54 time: 1.0597 data_time: 0.0287 memory: 32703 grad_norm: 29.9116 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9020 loss: 1.9020 2022/07/29 16:16:56 - mmengine - INFO - Epoch(train) [6][2160/2505] lr: 2.0000e-04 eta: 1 day, 12:48:12 time: 0.8940 data_time: 0.0259 memory: 32703 grad_norm: 28.8046 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6982 loss: 1.6982 2022/07/29 16:17:18 - mmengine - INFO - Epoch(train) [6][2180/2505] lr: 2.0000e-04 eta: 1 day, 12:48:04 time: 1.0855 data_time: 0.0262 memory: 32703 grad_norm: 28.2214 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8959 loss: 1.8959 2022/07/29 16:17:37 - mmengine - INFO - Epoch(train) [6][2200/2505] lr: 2.0000e-04 eta: 1 day, 12:47:31 time: 0.9427 data_time: 0.0275 memory: 32703 grad_norm: 29.8098 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9310 loss: 1.9310 2022/07/29 16:17:55 - mmengine - INFO - Epoch(train) [6][2220/2505] lr: 2.0000e-04 eta: 1 day, 12:46:54 time: 0.9170 data_time: 0.0257 memory: 32703 grad_norm: 28.7808 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7064 loss: 1.7064 2022/07/29 16:18:14 - mmengine - INFO - Epoch(train) [6][2240/2505] lr: 2.0000e-04 eta: 1 day, 12:46:24 time: 0.9637 data_time: 0.0340 memory: 32703 grad_norm: 28.0027 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7564 loss: 1.7564 2022/07/29 16:18:35 - mmengine - INFO - Epoch(train) [6][2260/2505] lr: 2.0000e-04 eta: 1 day, 12:46:07 time: 1.0290 data_time: 0.0306 memory: 32703 grad_norm: 28.9930 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8526 loss: 1.8526 2022/07/29 16:18:54 - mmengine - INFO - Epoch(train) [6][2280/2505] lr: 2.0000e-04 eta: 1 day, 12:45:38 time: 0.9661 data_time: 0.0269 memory: 32703 grad_norm: 30.0309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9598 loss: 1.9598 2022/07/29 16:19:14 - mmengine - INFO - Epoch(train) [6][2300/2505] lr: 2.0000e-04 eta: 1 day, 12:45:14 time: 0.9960 data_time: 0.0295 memory: 32703 grad_norm: 29.8961 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6217 loss: 1.6217 2022/07/29 16:19:33 - mmengine - INFO - Epoch(train) [6][2320/2505] lr: 2.0000e-04 eta: 1 day, 12:44:41 time: 0.9379 data_time: 0.0273 memory: 32703 grad_norm: 28.5638 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8971 loss: 1.8971 2022/07/29 16:19:53 - mmengine - INFO - Epoch(train) [6][2340/2505] lr: 2.0000e-04 eta: 1 day, 12:44:23 time: 1.0264 data_time: 0.0289 memory: 32703 grad_norm: 27.9807 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7991 loss: 1.7991 2022/07/29 16:20:11 - mmengine - INFO - Epoch(train) [6][2360/2505] lr: 2.0000e-04 eta: 1 day, 12:43:40 time: 0.8892 data_time: 0.0329 memory: 32703 grad_norm: 27.4031 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7500 loss: 1.7500 2022/07/29 16:20:32 - mmengine - INFO - Epoch(train) [6][2380/2505] lr: 2.0000e-04 eta: 1 day, 12:43:24 time: 1.0357 data_time: 0.0269 memory: 32703 grad_norm: 27.9101 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8112 loss: 1.8112 2022/07/29 16:20:50 - mmengine - INFO - Epoch(train) [6][2400/2505] lr: 2.0000e-04 eta: 1 day, 12:42:44 time: 0.9017 data_time: 0.0271 memory: 32703 grad_norm: 28.0722 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7037 loss: 1.7037 2022/07/29 16:21:12 - mmengine - INFO - Epoch(train) [6][2420/2505] lr: 2.0000e-04 eta: 1 day, 12:42:44 time: 1.1280 data_time: 0.0270 memory: 32703 grad_norm: 28.9882 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6156 loss: 1.6156 2022/07/29 16:21:30 - mmengine - INFO - Epoch(train) [6][2440/2505] lr: 2.0000e-04 eta: 1 day, 12:41:58 time: 0.8655 data_time: 0.0270 memory: 32703 grad_norm: 27.6267 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6969 loss: 1.6969 2022/07/29 16:21:50 - mmengine - INFO - Epoch(train) [6][2460/2505] lr: 2.0000e-04 eta: 1 day, 12:41:37 time: 1.0124 data_time: 0.0299 memory: 32703 grad_norm: 28.5666 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 1.7226 loss: 1.7226 2022/07/29 16:22:05 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 16:22:09 - mmengine - INFO - Epoch(train) [6][2480/2505] lr: 2.0000e-04 eta: 1 day, 12:41:04 time: 0.9424 data_time: 0.0461 memory: 32703 grad_norm: 28.4806 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.7542 loss: 1.7542 2022/07/29 16:22:29 - mmengine - INFO - Epoch(train) [6][2500/2505] lr: 2.0000e-04 eta: 1 day, 12:40:44 time: 1.0112 data_time: 0.0255 memory: 32703 grad_norm: 27.5161 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7688 loss: 1.7688 2022/07/29 16:22:32 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 16:22:32 - mmengine - INFO - Epoch(train) [6][2505/2505] lr: 2.0000e-04 eta: 1 day, 12:40:44 time: 0.8562 data_time: 0.0177 memory: 32703 grad_norm: 28.4327 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8511 loss: 1.8511 2022/07/29 16:22:32 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/07/29 16:22:38 - mmengine - INFO - Epoch(val) [6][20/2475] eta: 0:04:36 time: 0.1128 data_time: 0.0855 memory: 817 2022/07/29 16:22:40 - mmengine - INFO - Epoch(val) [6][40/2475] eta: 0:02:54 time: 0.0717 data_time: 0.0435 memory: 817 2022/07/29 16:22:42 - mmengine - INFO - Epoch(val) [6][60/2475] eta: 0:03:43 time: 0.0925 data_time: 0.0621 memory: 817 2022/07/29 16:22:43 - mmengine - INFO - Epoch(val) [6][80/2475] eta: 0:02:37 time: 0.0656 data_time: 0.0392 memory: 817 2022/07/29 16:22:45 - mmengine - INFO - Epoch(val) [6][100/2475] eta: 0:03:53 time: 0.0982 data_time: 0.0705 memory: 817 2022/07/29 16:22:46 - mmengine - INFO - Epoch(val) [6][120/2475] eta: 0:02:49 time: 0.0720 data_time: 0.0461 memory: 817 2022/07/29 16:22:49 - mmengine - INFO - Epoch(val) [6][140/2475] eta: 0:04:01 time: 0.1035 data_time: 0.0659 memory: 817 2022/07/29 16:22:50 - mmengine - INFO - Epoch(val) [6][160/2475] eta: 0:02:11 time: 0.0570 data_time: 0.0240 memory: 817 2022/07/29 16:22:51 - mmengine - INFO - Epoch(val) [6][180/2475] eta: 0:03:21 time: 0.0877 data_time: 0.0605 memory: 817 2022/07/29 16:22:53 - mmengine - INFO - Epoch(val) [6][200/2475] eta: 0:02:14 time: 0.0591 data_time: 0.0315 memory: 817 2022/07/29 16:22:54 - mmengine - INFO - Epoch(val) [6][220/2475] eta: 0:03:22 time: 0.0897 data_time: 0.0638 memory: 817 2022/07/29 16:22:56 - mmengine - INFO - Epoch(val) [6][240/2475] eta: 0:03:20 time: 0.0898 data_time: 0.0625 memory: 817 2022/07/29 16:22:58 - mmengine - INFO - Epoch(val) [6][260/2475] eta: 0:02:44 time: 0.0743 data_time: 0.0480 memory: 817 2022/07/29 16:22:59 - mmengine - INFO - Epoch(val) [6][280/2475] eta: 0:03:13 time: 0.0881 data_time: 0.0604 memory: 817 2022/07/29 16:23:01 - mmengine - INFO - Epoch(val) [6][300/2475] eta: 0:02:44 time: 0.0754 data_time: 0.0470 memory: 817 2022/07/29 16:23:03 - mmengine - INFO - Epoch(val) [6][320/2475] eta: 0:03:18 time: 0.0923 data_time: 0.0657 memory: 817 2022/07/29 16:23:04 - mmengine - INFO - Epoch(val) [6][340/2475] eta: 0:02:42 time: 0.0762 data_time: 0.0508 memory: 817 2022/07/29 16:23:06 - mmengine - INFO - Epoch(val) [6][360/2475] eta: 0:02:37 time: 0.0744 data_time: 0.0467 memory: 817 2022/07/29 16:23:07 - mmengine - INFO - Epoch(val) [6][380/2475] eta: 0:02:18 time: 0.0659 data_time: 0.0401 memory: 817 2022/07/29 16:23:09 - mmengine - INFO - Epoch(val) [6][400/2475] eta: 0:03:01 time: 0.0873 data_time: 0.0560 memory: 817 2022/07/29 16:23:10 - mmengine - INFO - Epoch(val) [6][420/2475] eta: 0:02:24 time: 0.0703 data_time: 0.0435 memory: 817 2022/07/29 16:23:12 - mmengine - INFO - Epoch(val) [6][440/2475] eta: 0:03:10 time: 0.0938 data_time: 0.0660 memory: 817 2022/07/29 16:23:13 - mmengine - INFO - Epoch(val) [6][460/2475] eta: 0:02:05 time: 0.0625 data_time: 0.0353 memory: 817 2022/07/29 16:23:15 - mmengine - INFO - Epoch(val) [6][480/2475] eta: 0:03:08 time: 0.0946 data_time: 0.0671 memory: 817 2022/07/29 16:23:17 - mmengine - INFO - Epoch(val) [6][500/2475] eta: 0:01:59 time: 0.0606 data_time: 0.0339 memory: 817 2022/07/29 16:23:18 - mmengine - INFO - Epoch(val) [6][520/2475] eta: 0:02:53 time: 0.0886 data_time: 0.0570 memory: 817 2022/07/29 16:23:20 - mmengine - INFO - Epoch(val) [6][540/2475] eta: 0:02:44 time: 0.0850 data_time: 0.0582 memory: 817 2022/07/29 16:23:21 - mmengine - INFO - Epoch(val) [6][560/2475] eta: 0:02:10 time: 0.0679 data_time: 0.0417 memory: 817 2022/07/29 16:23:23 - mmengine - INFO - Epoch(val) [6][580/2475] eta: 0:02:21 time: 0.0744 data_time: 0.0475 memory: 817 2022/07/29 16:23:25 - mmengine - INFO - Epoch(val) [6][600/2475] eta: 0:02:51 time: 0.0912 data_time: 0.0633 memory: 817 2022/07/29 16:23:26 - mmengine - INFO - Epoch(val) [6][620/2475] eta: 0:02:16 time: 0.0737 data_time: 0.0446 memory: 817 2022/07/29 16:23:28 - mmengine - INFO - Epoch(val) [6][640/2475] eta: 0:02:35 time: 0.0849 data_time: 0.0578 memory: 817 2022/07/29 16:23:30 - mmengine - INFO - Epoch(val) [6][660/2475] eta: 0:02:48 time: 0.0928 data_time: 0.0219 memory: 817 2022/07/29 16:23:31 - mmengine - INFO - Epoch(val) [6][680/2475] eta: 0:01:46 time: 0.0595 data_time: 0.0275 memory: 817 2022/07/29 16:23:33 - mmengine - INFO - Epoch(val) [6][700/2475] eta: 0:02:26 time: 0.0824 data_time: 0.0543 memory: 817 2022/07/29 16:23:34 - mmengine - INFO - Epoch(val) [6][720/2475] eta: 0:02:39 time: 0.0909 data_time: 0.0621 memory: 817 2022/07/29 16:23:36 - mmengine - INFO - Epoch(val) [6][740/2475] eta: 0:02:32 time: 0.0878 data_time: 0.0609 memory: 817 2022/07/29 16:23:38 - mmengine - INFO - Epoch(val) [6][760/2475] eta: 0:02:26 time: 0.0856 data_time: 0.0596 memory: 817 2022/07/29 16:23:39 - mmengine - INFO - Epoch(val) [6][780/2475] eta: 0:01:46 time: 0.0626 data_time: 0.0358 memory: 817 2022/07/29 16:23:41 - mmengine - INFO - Epoch(val) [6][800/2475] eta: 0:02:44 time: 0.0981 data_time: 0.0695 memory: 817 2022/07/29 16:23:42 - mmengine - INFO - Epoch(val) [6][820/2475] eta: 0:01:46 time: 0.0642 data_time: 0.0364 memory: 817 2022/07/29 16:23:44 - mmengine - INFO - Epoch(val) [6][840/2475] eta: 0:02:31 time: 0.0924 data_time: 0.0636 memory: 817 2022/07/29 16:23:46 - mmengine - INFO - Epoch(val) [6][860/2475] eta: 0:01:47 time: 0.0664 data_time: 0.0373 memory: 817 2022/07/29 16:23:47 - mmengine - INFO - Epoch(val) [6][880/2475] eta: 0:02:26 time: 0.0917 data_time: 0.0655 memory: 817 2022/07/29 16:23:49 - mmengine - INFO - Epoch(val) [6][900/2475] eta: 0:02:05 time: 0.0797 data_time: 0.0337 memory: 817 2022/07/29 16:23:51 - mmengine - INFO - Epoch(val) [6][920/2475] eta: 0:02:29 time: 0.0961 data_time: 0.0674 memory: 817 2022/07/29 16:23:52 - mmengine - INFO - Epoch(val) [6][940/2475] eta: 0:01:53 time: 0.0739 data_time: 0.0460 memory: 817 2022/07/29 16:23:54 - mmengine - INFO - Epoch(val) [6][960/2475] eta: 0:02:07 time: 0.0840 data_time: 0.0545 memory: 817 2022/07/29 16:23:55 - mmengine - INFO - Epoch(val) [6][980/2475] eta: 0:01:44 time: 0.0702 data_time: 0.0415 memory: 817 2022/07/29 16:23:57 - mmengine - INFO - Epoch(val) [6][1000/2475] eta: 0:02:05 time: 0.0848 data_time: 0.0570 memory: 817 2022/07/29 16:23:59 - mmengine - INFO - Epoch(val) [6][1020/2475] eta: 0:01:49 time: 0.0750 data_time: 0.0490 memory: 817 2022/07/29 16:24:00 - mmengine - INFO - Epoch(val) [6][1040/2475] eta: 0:01:57 time: 0.0820 data_time: 0.0552 memory: 817 2022/07/29 16:24:02 - mmengine - INFO - Epoch(val) [6][1060/2475] eta: 0:02:13 time: 0.0941 data_time: 0.0670 memory: 817 2022/07/29 16:24:04 - mmengine - INFO - Epoch(val) [6][1080/2475] eta: 0:01:40 time: 0.0718 data_time: 0.0446 memory: 817 2022/07/29 16:24:05 - mmengine - INFO - Epoch(val) [6][1100/2475] eta: 0:01:52 time: 0.0816 data_time: 0.0549 memory: 817 2022/07/29 16:24:07 - mmengine - INFO - Epoch(val) [6][1120/2475] eta: 0:01:40 time: 0.0744 data_time: 0.0479 memory: 817 2022/07/29 16:24:09 - mmengine - INFO - Epoch(val) [6][1140/2475] eta: 0:02:10 time: 0.0979 data_time: 0.0648 memory: 817 2022/07/29 16:24:10 - mmengine - INFO - Epoch(val) [6][1160/2475] eta: 0:01:31 time: 0.0696 data_time: 0.0396 memory: 817 2022/07/29 16:24:12 - mmengine - INFO - Epoch(val) [6][1180/2475] eta: 0:01:40 time: 0.0777 data_time: 0.0504 memory: 817 2022/07/29 16:24:13 - mmengine - INFO - Epoch(val) [6][1200/2475] eta: 0:01:38 time: 0.0769 data_time: 0.0469 memory: 817 2022/07/29 16:24:15 - mmengine - INFO - Epoch(val) [6][1220/2475] eta: 0:01:47 time: 0.0855 data_time: 0.0582 memory: 817 2022/07/29 16:24:16 - mmengine - INFO - Epoch(val) [6][1240/2475] eta: 0:01:26 time: 0.0698 data_time: 0.0423 memory: 817 2022/07/29 16:24:18 - mmengine - INFO - Epoch(val) [6][1260/2475] eta: 0:01:21 time: 0.0673 data_time: 0.0391 memory: 817 2022/07/29 16:24:19 - mmengine - INFO - Epoch(val) [6][1280/2475] eta: 0:01:35 time: 0.0795 data_time: 0.0524 memory: 817 2022/07/29 16:24:21 - mmengine - INFO - Epoch(val) [6][1300/2475] eta: 0:01:58 time: 0.1005 data_time: 0.0740 memory: 817 2022/07/29 16:24:23 - mmengine - INFO - Epoch(val) [6][1320/2475] eta: 0:01:26 time: 0.0747 data_time: 0.0456 memory: 817 2022/07/29 16:24:24 - mmengine - INFO - Epoch(val) [6][1340/2475] eta: 0:01:37 time: 0.0856 data_time: 0.0577 memory: 817 2022/07/29 16:24:26 - mmengine - INFO - Epoch(val) [6][1360/2475] eta: 0:01:24 time: 0.0757 data_time: 0.0474 memory: 817 2022/07/29 16:24:28 - mmengine - INFO - Epoch(val) [6][1380/2475] eta: 0:01:30 time: 0.0823 data_time: 0.0545 memory: 817 2022/07/29 16:24:29 - mmengine - INFO - Epoch(val) [6][1400/2475] eta: 0:01:14 time: 0.0690 data_time: 0.0252 memory: 817 2022/07/29 16:24:34 - mmengine - INFO - Epoch(val) [6][1420/2475] eta: 0:04:50 time: 0.2750 data_time: 0.2467 memory: 817 2022/07/29 16:24:36 - mmengine - INFO - Epoch(val) [6][1440/2475] eta: 0:01:41 time: 0.0981 data_time: 0.0701 memory: 817 2022/07/29 16:24:38 - mmengine - INFO - Epoch(val) [6][1460/2475] eta: 0:01:06 time: 0.0652 data_time: 0.0378 memory: 817 2022/07/29 16:24:40 - mmengine - INFO - Epoch(val) [6][1480/2475] eta: 0:01:55 time: 0.1159 data_time: 0.0881 memory: 817 2022/07/29 16:24:41 - mmengine - INFO - Epoch(val) [6][1500/2475] eta: 0:00:56 time: 0.0584 data_time: 0.0323 memory: 817 2022/07/29 16:24:43 - mmengine - INFO - Epoch(val) [6][1520/2475] eta: 0:01:34 time: 0.0988 data_time: 0.0722 memory: 817 2022/07/29 16:24:45 - mmengine - INFO - Epoch(val) [6][1540/2475] eta: 0:01:11 time: 0.0769 data_time: 0.0495 memory: 817 2022/07/29 16:24:46 - mmengine - INFO - Epoch(val) [6][1560/2475] eta: 0:01:09 time: 0.0759 data_time: 0.0487 memory: 817 2022/07/29 16:24:48 - mmengine - INFO - Epoch(val) [6][1580/2475] eta: 0:01:03 time: 0.0708 data_time: 0.0448 memory: 817 2022/07/29 16:24:50 - mmengine - INFO - Epoch(val) [6][1600/2475] eta: 0:01:37 time: 0.1119 data_time: 0.0388 memory: 817 2022/07/29 16:24:51 - mmengine - INFO - Epoch(val) [6][1620/2475] eta: 0:00:58 time: 0.0683 data_time: 0.0349 memory: 817 2022/07/29 16:24:53 - mmengine - INFO - Epoch(val) [6][1640/2475] eta: 0:01:10 time: 0.0849 data_time: 0.0579 memory: 817 2022/07/29 16:24:54 - mmengine - INFO - Epoch(val) [6][1660/2475] eta: 0:00:57 time: 0.0710 data_time: 0.0429 memory: 817 2022/07/29 16:24:56 - mmengine - INFO - Epoch(val) [6][1680/2475] eta: 0:01:07 time: 0.0847 data_time: 0.0575 memory: 817 2022/07/29 16:24:58 - mmengine - INFO - Epoch(val) [6][1700/2475] eta: 0:00:56 time: 0.0729 data_time: 0.0463 memory: 817 2022/07/29 16:25:00 - mmengine - INFO - Epoch(val) [6][1720/2475] eta: 0:01:14 time: 0.0992 data_time: 0.0725 memory: 817 2022/07/29 16:25:01 - mmengine - INFO - Epoch(val) [6][1740/2475] eta: 0:00:59 time: 0.0816 data_time: 0.0527 memory: 817 2022/07/29 16:25:04 - mmengine - INFO - Epoch(val) [6][1760/2475] eta: 0:01:23 time: 0.1172 data_time: 0.0905 memory: 817 2022/07/29 16:25:05 - mmengine - INFO - Epoch(val) [6][1780/2475] eta: 0:01:03 time: 0.0910 data_time: 0.0630 memory: 817 2022/07/29 16:25:07 - mmengine - INFO - Epoch(val) [6][1800/2475] eta: 0:01:00 time: 0.0899 data_time: 0.0627 memory: 817 2022/07/29 16:25:09 - mmengine - INFO - Epoch(val) [6][1820/2475] eta: 0:01:07 time: 0.1034 data_time: 0.0588 memory: 817 2022/07/29 16:25:10 - mmengine - INFO - Epoch(val) [6][1840/2475] eta: 0:00:30 time: 0.0482 data_time: 0.0040 memory: 817 2022/07/29 16:25:12 - mmengine - INFO - Epoch(val) [6][1860/2475] eta: 0:00:40 time: 0.0664 data_time: 0.0387 memory: 817 2022/07/29 16:25:13 - mmengine - INFO - Epoch(val) [6][1880/2475] eta: 0:00:47 time: 0.0790 data_time: 0.0504 memory: 817 2022/07/29 16:25:15 - mmengine - INFO - Epoch(val) [6][1900/2475] eta: 0:00:50 time: 0.0880 data_time: 0.0611 memory: 817 2022/07/29 16:25:16 - mmengine - INFO - Epoch(val) [6][1920/2475] eta: 0:00:39 time: 0.0705 data_time: 0.0428 memory: 817 2022/07/29 16:25:18 - mmengine - INFO - Epoch(val) [6][1940/2475] eta: 0:00:41 time: 0.0773 data_time: 0.0491 memory: 817 2022/07/29 16:25:19 - mmengine - INFO - Epoch(val) [6][1960/2475] eta: 0:00:40 time: 0.0795 data_time: 0.0536 memory: 817 2022/07/29 16:25:21 - mmengine - INFO - Epoch(val) [6][1980/2475] eta: 0:00:39 time: 0.0796 data_time: 0.0539 memory: 817 2022/07/29 16:25:23 - mmengine - INFO - Epoch(val) [6][2000/2475] eta: 0:00:36 time: 0.0771 data_time: 0.0504 memory: 817 2022/07/29 16:25:24 - mmengine - INFO - Epoch(val) [6][2020/2475] eta: 0:00:44 time: 0.0975 data_time: 0.0689 memory: 817 2022/07/29 16:25:26 - mmengine - INFO - Epoch(val) [6][2040/2475] eta: 0:00:30 time: 0.0692 data_time: 0.0427 memory: 817 2022/07/29 16:25:28 - mmengine - INFO - Epoch(val) [6][2060/2475] eta: 0:00:38 time: 0.0933 data_time: 0.0667 memory: 817 2022/07/29 16:25:29 - mmengine - INFO - Epoch(val) [6][2080/2475] eta: 0:00:28 time: 0.0728 data_time: 0.0311 memory: 817 2022/07/29 16:25:31 - mmengine - INFO - Epoch(val) [6][2100/2475] eta: 0:00:30 time: 0.0812 data_time: 0.0541 memory: 817 2022/07/29 16:25:33 - mmengine - INFO - Epoch(val) [6][2120/2475] eta: 0:00:30 time: 0.0865 data_time: 0.0580 memory: 817 2022/07/29 16:25:34 - mmengine - INFO - Epoch(val) [6][2140/2475] eta: 0:00:25 time: 0.0766 data_time: 0.0482 memory: 817 2022/07/29 16:25:36 - mmengine - INFO - Epoch(val) [6][2160/2475] eta: 0:00:22 time: 0.0720 data_time: 0.0442 memory: 817 2022/07/29 16:25:37 - mmengine - INFO - Epoch(val) [6][2180/2475] eta: 0:00:26 time: 0.0896 data_time: 0.0628 memory: 817 2022/07/29 16:25:39 - mmengine - INFO - Epoch(val) [6][2200/2475] eta: 0:00:19 time: 0.0714 data_time: 0.0416 memory: 817 2022/07/29 16:25:40 - mmengine - INFO - Epoch(val) [6][2220/2475] eta: 0:00:20 time: 0.0816 data_time: 0.0541 memory: 817 2022/07/29 16:25:42 - mmengine - INFO - Epoch(val) [6][2240/2475] eta: 0:00:18 time: 0.0808 data_time: 0.0533 memory: 817 2022/07/29 16:25:44 - mmengine - INFO - Epoch(val) [6][2260/2475] eta: 0:00:19 time: 0.0884 data_time: 0.0602 memory: 817 2022/07/29 16:25:45 - mmengine - INFO - Epoch(val) [6][2280/2475] eta: 0:00:14 time: 0.0729 data_time: 0.0449 memory: 817 2022/07/29 16:25:47 - mmengine - INFO - Epoch(val) [6][2300/2475] eta: 0:00:15 time: 0.0875 data_time: 0.0606 memory: 817 2022/07/29 16:25:49 - mmengine - INFO - Epoch(val) [6][2320/2475] eta: 0:00:14 time: 0.0926 data_time: 0.0416 memory: 817 2022/07/29 16:25:50 - mmengine - INFO - Epoch(val) [6][2340/2475] eta: 0:00:07 time: 0.0569 data_time: 0.0227 memory: 817 2022/07/29 16:25:51 - mmengine - INFO - Epoch(val) [6][2360/2475] eta: 0:00:07 time: 0.0675 data_time: 0.0419 memory: 817 2022/07/29 16:25:53 - mmengine - INFO - Epoch(val) [6][2380/2475] eta: 0:00:09 time: 0.1045 data_time: 0.0767 memory: 817 2022/07/29 16:25:55 - mmengine - INFO - Epoch(val) [6][2400/2475] eta: 0:00:04 time: 0.0539 data_time: 0.0250 memory: 817 2022/07/29 16:25:55 - mmengine - INFO - Epoch(val) [6][2420/2475] eta: 0:00:02 time: 0.0452 data_time: 0.0193 memory: 817 2022/07/29 16:25:56 - mmengine - INFO - Epoch(val) [6][2440/2475] eta: 0:00:00 time: 0.0281 data_time: 0.0016 memory: 817 2022/07/29 16:25:57 - mmengine - INFO - Epoch(val) [6][2460/2475] eta: 0:00:00 time: 0.0264 data_time: 0.0014 memory: 817 2022/07/29 16:25:58 - mmengine - INFO - Epoch(val) [6][2475/2475] acc/top1: 0.6878 acc/top5: 0.8841 acc/mean1: 0.6877 2022/07/29 16:25:58 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_4.pth is removed 2022/07/29 16:26:03 - mmengine - INFO - The best checkpoint with 0.6878 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/07/29 16:26:28 - mmengine - INFO - Epoch(train) [7][20/2505] lr: 2.3000e-04 eta: 1 day, 12:40:11 time: 1.2228 data_time: 0.6354 memory: 32703 grad_norm: 27.4678 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4786 loss: 1.4786 2022/07/29 16:26:46 - mmengine - INFO - Epoch(train) [7][40/2505] lr: 2.3000e-04 eta: 1 day, 12:39:36 time: 0.9279 data_time: 0.3410 memory: 32703 grad_norm: 31.0298 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5551 loss: 1.5551 2022/07/29 16:27:10 - mmengine - INFO - Epoch(train) [7][60/2505] lr: 2.3000e-04 eta: 1 day, 12:39:44 time: 1.1773 data_time: 0.5350 memory: 32703 grad_norm: 28.0881 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8448 loss: 1.8448 2022/07/29 16:27:26 - mmengine - INFO - Epoch(train) [7][80/2505] lr: 2.3000e-04 eta: 1 day, 12:38:45 time: 0.7928 data_time: 0.2154 memory: 32703 grad_norm: 28.2125 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6574 loss: 1.6574 2022/07/29 16:27:47 - mmengine - INFO - Epoch(train) [7][100/2505] lr: 2.3000e-04 eta: 1 day, 12:38:30 time: 1.0415 data_time: 0.4417 memory: 32703 grad_norm: 30.0450 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6881 loss: 1.6881 2022/07/29 16:28:05 - mmengine - INFO - Epoch(train) [7][120/2505] lr: 2.3000e-04 eta: 1 day, 12:37:53 time: 0.9159 data_time: 0.3281 memory: 32703 grad_norm: 27.7910 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7571 loss: 1.7571 2022/07/29 16:28:26 - mmengine - INFO - Epoch(train) [7][140/2505] lr: 2.3000e-04 eta: 1 day, 12:37:37 time: 1.0390 data_time: 0.4430 memory: 32703 grad_norm: 27.2953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6789 loss: 1.6789 2022/07/29 16:28:46 - mmengine - INFO - Epoch(train) [7][160/2505] lr: 2.3000e-04 eta: 1 day, 12:37:17 time: 1.0159 data_time: 0.0663 memory: 32703 grad_norm: 28.7694 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5389 loss: 1.5389 2022/07/29 16:29:06 - mmengine - INFO - Epoch(train) [7][180/2505] lr: 2.3000e-04 eta: 1 day, 12:36:52 time: 0.9825 data_time: 0.0377 memory: 32703 grad_norm: 29.7274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7135 loss: 1.7135 2022/07/29 16:29:26 - mmengine - INFO - Epoch(train) [7][200/2505] lr: 2.3000e-04 eta: 1 day, 12:36:28 time: 0.9931 data_time: 0.0306 memory: 32703 grad_norm: 28.6969 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6809 loss: 1.6809 2022/07/29 16:29:46 - mmengine - INFO - Epoch(train) [7][220/2505] lr: 2.3000e-04 eta: 1 day, 12:36:10 time: 1.0280 data_time: 0.0381 memory: 32703 grad_norm: 28.7016 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7486 loss: 1.7486 2022/07/29 16:30:05 - mmengine - INFO - Epoch(train) [7][240/2505] lr: 2.3000e-04 eta: 1 day, 12:35:35 time: 0.9273 data_time: 0.0511 memory: 32703 grad_norm: 28.6056 top1_acc: 0.1667 top5_acc: 0.5833 loss_cls: 1.8697 loss: 1.8697 2022/07/29 16:30:26 - mmengine - INFO - Epoch(train) [7][260/2505] lr: 2.3000e-04 eta: 1 day, 12:35:20 time: 1.0445 data_time: 0.0559 memory: 32703 grad_norm: 28.0268 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7100 loss: 1.7100 2022/07/29 16:30:44 - mmengine - INFO - Epoch(train) [7][280/2505] lr: 2.3000e-04 eta: 1 day, 12:34:41 time: 0.9016 data_time: 0.2010 memory: 32703 grad_norm: 28.8448 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6365 loss: 1.6365 2022/07/29 16:31:05 - mmengine - INFO - Epoch(train) [7][300/2505] lr: 2.3000e-04 eta: 1 day, 12:34:31 time: 1.0759 data_time: 0.3395 memory: 32703 grad_norm: 27.9318 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7905 loss: 1.7905 2022/07/29 16:31:24 - mmengine - INFO - Epoch(train) [7][320/2505] lr: 2.3000e-04 eta: 1 day, 12:33:55 time: 0.9187 data_time: 0.1513 memory: 32703 grad_norm: 27.3951 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8592 loss: 1.8592 2022/07/29 16:31:44 - mmengine - INFO - Epoch(train) [7][340/2505] lr: 2.3000e-04 eta: 1 day, 12:33:34 time: 1.0094 data_time: 0.2315 memory: 32703 grad_norm: 29.5343 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8315 loss: 1.8315 2022/07/29 16:32:02 - mmengine - INFO - Epoch(train) [7][360/2505] lr: 2.3000e-04 eta: 1 day, 12:32:56 time: 0.9079 data_time: 0.1869 memory: 32703 grad_norm: 27.8157 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6608 loss: 1.6608 2022/07/29 16:32:23 - mmengine - INFO - Epoch(train) [7][380/2505] lr: 2.3000e-04 eta: 1 day, 12:32:45 time: 1.0688 data_time: 0.2706 memory: 32703 grad_norm: 28.4012 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5617 loss: 1.5617 2022/07/29 16:32:41 - mmengine - INFO - Epoch(train) [7][400/2505] lr: 2.3000e-04 eta: 1 day, 12:32:04 time: 0.8897 data_time: 0.1851 memory: 32703 grad_norm: 29.6483 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7301 loss: 1.7301 2022/07/29 16:33:02 - mmengine - INFO - Epoch(train) [7][420/2505] lr: 2.3000e-04 eta: 1 day, 12:31:51 time: 1.0526 data_time: 0.2825 memory: 32703 grad_norm: 28.6436 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6733 loss: 1.6733 2022/07/29 16:33:21 - mmengine - INFO - Epoch(train) [7][440/2505] lr: 2.3000e-04 eta: 1 day, 12:31:18 time: 0.9360 data_time: 0.0781 memory: 32703 grad_norm: 28.1826 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7701 loss: 1.7701 2022/07/29 16:33:41 - mmengine - INFO - Epoch(train) [7][460/2505] lr: 2.3000e-04 eta: 1 day, 12:30:58 time: 1.0183 data_time: 0.0324 memory: 32703 grad_norm: 29.1387 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8084 loss: 1.8084 2022/07/29 16:34:00 - mmengine - INFO - Epoch(train) [7][480/2505] lr: 2.3000e-04 eta: 1 day, 12:30:28 time: 0.9495 data_time: 0.0294 memory: 32703 grad_norm: 27.9248 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8010 loss: 1.8010 2022/07/29 16:34:21 - mmengine - INFO - Epoch(train) [7][500/2505] lr: 2.3000e-04 eta: 1 day, 12:30:09 time: 1.0206 data_time: 0.0305 memory: 32703 grad_norm: 29.8746 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6770 loss: 1.6770 2022/07/29 16:34:40 - mmengine - INFO - Epoch(train) [7][520/2505] lr: 2.3000e-04 eta: 1 day, 12:29:39 time: 0.9547 data_time: 0.0314 memory: 32703 grad_norm: 27.7099 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7487 loss: 1.7487 2022/07/29 16:35:00 - mmengine - INFO - Epoch(train) [7][540/2505] lr: 2.3000e-04 eta: 1 day, 12:29:20 time: 1.0245 data_time: 0.0301 memory: 32703 grad_norm: 29.6859 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5367 loss: 1.5367 2022/07/29 16:35:19 - mmengine - INFO - Epoch(train) [7][560/2505] lr: 2.3000e-04 eta: 1 day, 12:28:48 time: 0.9373 data_time: 0.0331 memory: 32703 grad_norm: 27.7477 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7972 loss: 1.7972 2022/07/29 16:35:40 - mmengine - INFO - Epoch(train) [7][580/2505] lr: 2.3000e-04 eta: 1 day, 12:28:30 time: 1.0298 data_time: 0.0327 memory: 32703 grad_norm: 28.7187 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8183 loss: 1.8183 2022/07/29 16:35:57 - mmengine - INFO - Epoch(train) [7][600/2505] lr: 2.3000e-04 eta: 1 day, 12:27:50 time: 0.8902 data_time: 0.0268 memory: 32703 grad_norm: 27.8675 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8009 loss: 1.8009 2022/07/29 16:36:18 - mmengine - INFO - Epoch(train) [7][620/2505] lr: 2.3000e-04 eta: 1 day, 12:27:32 time: 1.0253 data_time: 0.0291 memory: 32703 grad_norm: 28.0664 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7704 loss: 1.7704 2022/07/29 16:36:37 - mmengine - INFO - Epoch(train) [7][640/2505] lr: 2.3000e-04 eta: 1 day, 12:27:03 time: 0.9609 data_time: 0.0493 memory: 32703 grad_norm: 28.9766 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9188 loss: 1.9188 2022/07/29 16:36:59 - mmengine - INFO - Epoch(train) [7][660/2505] lr: 2.3000e-04 eta: 1 day, 12:26:55 time: 1.0892 data_time: 0.0612 memory: 32703 grad_norm: 26.1309 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7674 loss: 1.7674 2022/07/29 16:37:18 - mmengine - INFO - Epoch(train) [7][680/2505] lr: 2.3000e-04 eta: 1 day, 12:26:27 time: 0.9654 data_time: 0.1247 memory: 32703 grad_norm: 28.4265 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.6987 loss: 1.6987 2022/07/29 16:37:39 - mmengine - INFO - Epoch(train) [7][700/2505] lr: 2.3000e-04 eta: 1 day, 12:26:09 time: 1.0259 data_time: 0.0666 memory: 32703 grad_norm: 27.8323 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.8931 loss: 1.8931 2022/07/29 16:37:57 - mmengine - INFO - Epoch(train) [7][720/2505] lr: 2.3000e-04 eta: 1 day, 12:25:36 time: 0.9339 data_time: 0.0294 memory: 32703 grad_norm: 27.0191 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6773 loss: 1.6773 2022/07/29 16:38:16 - mmengine - INFO - Epoch(train) [7][740/2505] lr: 2.3000e-04 eta: 1 day, 12:24:59 time: 0.9129 data_time: 0.0621 memory: 32703 grad_norm: 27.0734 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7767 loss: 1.7767 2022/07/29 16:38:35 - mmengine - INFO - Epoch(train) [7][760/2505] lr: 2.3000e-04 eta: 1 day, 12:24:33 time: 0.9747 data_time: 0.0615 memory: 32703 grad_norm: 28.2797 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6702 loss: 1.6702 2022/07/29 16:38:57 - mmengine - INFO - Epoch(train) [7][780/2505] lr: 2.3000e-04 eta: 1 day, 12:24:28 time: 1.1077 data_time: 0.0287 memory: 32703 grad_norm: 29.0472 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.7776 loss: 1.7776 2022/07/29 16:39:20 - mmengine - INFO - Epoch(train) [7][800/2505] lr: 2.3000e-04 eta: 1 day, 12:24:28 time: 1.1310 data_time: 0.0581 memory: 32703 grad_norm: 29.5477 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6852 loss: 1.6852 2022/07/29 16:39:43 - mmengine - INFO - Epoch(train) [7][820/2505] lr: 2.3000e-04 eta: 1 day, 12:24:33 time: 1.1676 data_time: 0.0266 memory: 32703 grad_norm: 26.6494 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4356 loss: 1.4356 2022/07/29 16:40:03 - mmengine - INFO - Epoch(train) [7][840/2505] lr: 2.3000e-04 eta: 1 day, 12:24:07 time: 0.9787 data_time: 0.0387 memory: 32703 grad_norm: 29.0308 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6932 loss: 1.6932 2022/07/29 16:40:24 - mmengine - INFO - Epoch(train) [7][860/2505] lr: 2.3000e-04 eta: 1 day, 12:23:56 time: 1.0728 data_time: 0.0627 memory: 32703 grad_norm: 28.3824 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6275 loss: 1.6275 2022/07/29 16:40:42 - mmengine - INFO - Epoch(train) [7][880/2505] lr: 2.3000e-04 eta: 1 day, 12:23:12 time: 0.8626 data_time: 0.1116 memory: 32703 grad_norm: 29.0743 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8556 loss: 1.8556 2022/07/29 16:41:03 - mmengine - INFO - Epoch(train) [7][900/2505] lr: 2.3000e-04 eta: 1 day, 12:23:02 time: 1.0754 data_time: 0.0295 memory: 32703 grad_norm: 29.0107 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8210 loss: 1.8210 2022/07/29 16:41:21 - mmengine - INFO - Epoch(train) [7][920/2505] lr: 2.3000e-04 eta: 1 day, 12:22:23 time: 0.9008 data_time: 0.0297 memory: 32703 grad_norm: 27.7372 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7922 loss: 1.7922 2022/07/29 16:41:42 - mmengine - INFO - Epoch(train) [7][940/2505] lr: 2.3000e-04 eta: 1 day, 12:22:11 time: 1.0598 data_time: 0.0287 memory: 32703 grad_norm: 27.9186 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7895 loss: 1.7895 2022/07/29 16:41:59 - mmengine - INFO - Epoch(train) [7][960/2505] lr: 2.3000e-04 eta: 1 day, 12:21:20 time: 0.8245 data_time: 0.0277 memory: 32703 grad_norm: 28.7856 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7582 loss: 1.7582 2022/07/29 16:42:10 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 16:42:19 - mmengine - INFO - Epoch(train) [7][980/2505] lr: 2.3000e-04 eta: 1 day, 12:21:03 time: 1.0307 data_time: 0.0886 memory: 32703 grad_norm: 28.0748 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6783 loss: 1.6783 2022/07/29 16:42:38 - mmengine - INFO - Epoch(train) [7][1000/2505] lr: 2.3000e-04 eta: 1 day, 12:20:27 time: 0.9134 data_time: 0.0248 memory: 32703 grad_norm: 28.4626 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6919 loss: 1.6919 2022/07/29 16:43:03 - mmengine - INFO - Epoch(train) [7][1020/2505] lr: 2.3000e-04 eta: 1 day, 12:20:50 time: 1.2812 data_time: 0.0275 memory: 32703 grad_norm: 27.1795 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8234 loss: 1.8234 2022/07/29 16:43:26 - mmengine - INFO - Epoch(train) [7][1040/2505] lr: 2.3000e-04 eta: 1 day, 12:20:54 time: 1.1618 data_time: 0.1122 memory: 32703 grad_norm: 27.8424 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9497 loss: 1.9497 2022/07/29 16:43:45 - mmengine - INFO - Epoch(train) [7][1060/2505] lr: 2.3000e-04 eta: 1 day, 12:20:19 time: 0.9263 data_time: 0.0306 memory: 32703 grad_norm: 28.7400 top1_acc: 0.2500 top5_acc: 0.4167 loss_cls: 1.8920 loss: 1.8920 2022/07/29 16:44:05 - mmengine - INFO - Epoch(train) [7][1080/2505] lr: 2.3000e-04 eta: 1 day, 12:19:54 time: 0.9784 data_time: 0.0276 memory: 32703 grad_norm: 28.0805 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7111 loss: 1.7111 2022/07/29 16:44:24 - mmengine - INFO - Epoch(train) [7][1100/2505] lr: 2.3000e-04 eta: 1 day, 12:19:27 time: 0.9727 data_time: 0.0311 memory: 32703 grad_norm: 28.2439 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.7750 loss: 1.7750 2022/07/29 16:44:44 - mmengine - INFO - Epoch(train) [7][1120/2505] lr: 2.3000e-04 eta: 1 day, 12:19:06 time: 1.0046 data_time: 0.0315 memory: 32703 grad_norm: 28.0380 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7240 loss: 1.7240 2022/07/29 16:45:02 - mmengine - INFO - Epoch(train) [7][1140/2505] lr: 2.3000e-04 eta: 1 day, 12:18:29 time: 0.9127 data_time: 0.0304 memory: 32703 grad_norm: 27.9651 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8026 loss: 1.8026 2022/07/29 16:45:23 - mmengine - INFO - Epoch(train) [7][1160/2505] lr: 2.3000e-04 eta: 1 day, 12:18:14 time: 1.0405 data_time: 0.0333 memory: 32703 grad_norm: 27.8413 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8600 loss: 1.8600 2022/07/29 16:45:44 - mmengine - INFO - Epoch(train) [7][1180/2505] lr: 2.3000e-04 eta: 1 day, 12:17:58 time: 1.0400 data_time: 0.0605 memory: 32703 grad_norm: 27.2657 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8248 loss: 1.8248 2022/07/29 16:46:04 - mmengine - INFO - Epoch(train) [7][1200/2505] lr: 2.3000e-04 eta: 1 day, 12:17:32 time: 0.9792 data_time: 0.0289 memory: 32703 grad_norm: 27.6449 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7251 loss: 1.7251 2022/07/29 16:46:22 - mmengine - INFO - Epoch(train) [7][1220/2505] lr: 2.3000e-04 eta: 1 day, 12:17:00 time: 0.9358 data_time: 0.0267 memory: 32703 grad_norm: 29.3191 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7806 loss: 1.7806 2022/07/29 16:46:43 - mmengine - INFO - Epoch(train) [7][1240/2505] lr: 2.3000e-04 eta: 1 day, 12:16:47 time: 1.0591 data_time: 0.0288 memory: 32703 grad_norm: 27.3005 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9230 loss: 1.9230 2022/07/29 16:47:02 - mmengine - INFO - Epoch(train) [7][1260/2505] lr: 2.3000e-04 eta: 1 day, 12:16:15 time: 0.9379 data_time: 0.0254 memory: 32703 grad_norm: 28.3188 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5923 loss: 1.5923 2022/07/29 16:47:22 - mmengine - INFO - Epoch(train) [7][1280/2505] lr: 2.3000e-04 eta: 1 day, 12:15:51 time: 0.9886 data_time: 0.0291 memory: 32703 grad_norm: 27.4005 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6335 loss: 1.6335 2022/07/29 16:47:39 - mmengine - INFO - Epoch(train) [7][1300/2505] lr: 2.3000e-04 eta: 1 day, 12:15:05 time: 0.8518 data_time: 0.0272 memory: 32703 grad_norm: 28.1433 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7692 loss: 1.7692 2022/07/29 16:48:02 - mmengine - INFO - Epoch(train) [7][1320/2505] lr: 2.3000e-04 eta: 1 day, 12:15:08 time: 1.1550 data_time: 0.0481 memory: 32703 grad_norm: 27.4020 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8434 loss: 1.8434 2022/07/29 16:48:18 - mmengine - INFO - Epoch(train) [7][1340/2505] lr: 2.3000e-04 eta: 1 day, 12:14:10 time: 0.7757 data_time: 0.0277 memory: 32703 grad_norm: 28.7892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6832 loss: 1.6832 2022/07/29 16:48:37 - mmengine - INFO - Epoch(train) [7][1360/2505] lr: 2.3000e-04 eta: 1 day, 12:13:46 time: 0.9883 data_time: 0.0279 memory: 32703 grad_norm: 28.8172 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.9809 loss: 1.9809 2022/07/29 16:48:57 - mmengine - INFO - Epoch(train) [7][1380/2505] lr: 2.3000e-04 eta: 1 day, 12:13:22 time: 0.9878 data_time: 0.0728 memory: 32703 grad_norm: 28.1091 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6283 loss: 1.6283 2022/07/29 16:49:20 - mmengine - INFO - Epoch(train) [7][1400/2505] lr: 2.3000e-04 eta: 1 day, 12:13:22 time: 1.1366 data_time: 0.0558 memory: 32703 grad_norm: 27.2839 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7599 loss: 1.7599 2022/07/29 16:49:41 - mmengine - INFO - Epoch(train) [7][1420/2505] lr: 2.3000e-04 eta: 1 day, 12:13:09 time: 1.0578 data_time: 0.0698 memory: 32703 grad_norm: 27.3203 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6374 loss: 1.6374 2022/07/29 16:50:00 - mmengine - INFO - Epoch(train) [7][1440/2505] lr: 2.3000e-04 eta: 1 day, 12:12:38 time: 0.9445 data_time: 0.0291 memory: 32703 grad_norm: 27.9113 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5022 loss: 1.5022 2022/07/29 16:50:26 - mmengine - INFO - Epoch(train) [7][1460/2505] lr: 2.3000e-04 eta: 1 day, 12:13:05 time: 1.3127 data_time: 0.1400 memory: 32703 grad_norm: 27.7594 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5274 loss: 1.5274 2022/07/29 16:50:47 - mmengine - INFO - Epoch(train) [7][1480/2505] lr: 2.3000e-04 eta: 1 day, 12:12:49 time: 1.0404 data_time: 0.0735 memory: 32703 grad_norm: 27.2309 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9921 loss: 1.9921 2022/07/29 16:51:07 - mmengine - INFO - Epoch(train) [7][1500/2505] lr: 2.3000e-04 eta: 1 day, 12:12:27 time: 1.0017 data_time: 0.0302 memory: 32703 grad_norm: 28.3723 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6698 loss: 1.6698 2022/07/29 16:51:29 - mmengine - INFO - Epoch(train) [7][1520/2505] lr: 2.3000e-04 eta: 1 day, 12:12:20 time: 1.1020 data_time: 0.1348 memory: 32703 grad_norm: 28.0947 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7432 loss: 1.7432 2022/07/29 16:51:49 - mmengine - INFO - Epoch(train) [7][1540/2505] lr: 2.3000e-04 eta: 1 day, 12:11:56 time: 0.9846 data_time: 0.0889 memory: 32703 grad_norm: 27.4499 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8352 loss: 1.8352 2022/07/29 16:52:10 - mmengine - INFO - Epoch(train) [7][1560/2505] lr: 2.3000e-04 eta: 1 day, 12:11:45 time: 1.0746 data_time: 0.0271 memory: 32703 grad_norm: 27.1864 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9841 loss: 1.9841 2022/07/29 16:52:30 - mmengine - INFO - Epoch(train) [7][1580/2505] lr: 2.3000e-04 eta: 1 day, 12:11:18 time: 0.9660 data_time: 0.1493 memory: 32703 grad_norm: 26.4172 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7957 loss: 1.7957 2022/07/29 16:52:49 - mmengine - INFO - Epoch(train) [7][1600/2505] lr: 2.3000e-04 eta: 1 day, 12:10:47 time: 0.9465 data_time: 0.1944 memory: 32703 grad_norm: 27.6924 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7274 loss: 1.7274 2022/07/29 16:53:08 - mmengine - INFO - Epoch(train) [7][1620/2505] lr: 2.3000e-04 eta: 1 day, 12:10:22 time: 0.9774 data_time: 0.1713 memory: 32703 grad_norm: 27.4606 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9895 loss: 1.9895 2022/07/29 16:53:31 - mmengine - INFO - Epoch(train) [7][1640/2505] lr: 2.3000e-04 eta: 1 day, 12:10:18 time: 1.1211 data_time: 0.4503 memory: 32703 grad_norm: 28.5442 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7428 loss: 1.7428 2022/07/29 16:53:47 - mmengine - INFO - Epoch(train) [7][1660/2505] lr: 2.3000e-04 eta: 1 day, 12:09:29 time: 0.8213 data_time: 0.2164 memory: 32703 grad_norm: 28.2149 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9194 loss: 1.9194 2022/07/29 16:54:09 - mmengine - INFO - Epoch(train) [7][1680/2505] lr: 2.3000e-04 eta: 1 day, 12:09:19 time: 1.0832 data_time: 0.4820 memory: 32703 grad_norm: 27.8269 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7529 loss: 1.7529 2022/07/29 16:54:28 - mmengine - INFO - Epoch(train) [7][1700/2505] lr: 2.3000e-04 eta: 1 day, 12:08:49 time: 0.9495 data_time: 0.3212 memory: 32703 grad_norm: 28.9026 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6441 loss: 1.6441 2022/07/29 16:54:48 - mmengine - INFO - Epoch(train) [7][1720/2505] lr: 2.3000e-04 eta: 1 day, 12:08:32 time: 1.0328 data_time: 0.4167 memory: 32703 grad_norm: 27.0705 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8520 loss: 1.8520 2022/07/29 16:55:06 - mmengine - INFO - Epoch(train) [7][1740/2505] lr: 2.3000e-04 eta: 1 day, 12:07:56 time: 0.9070 data_time: 0.2925 memory: 32703 grad_norm: 27.9378 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7631 loss: 1.7631 2022/07/29 16:55:27 - mmengine - INFO - Epoch(train) [7][1760/2505] lr: 2.3000e-04 eta: 1 day, 12:07:35 time: 1.0088 data_time: 0.3832 memory: 32703 grad_norm: 27.1954 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7596 loss: 1.7596 2022/07/29 16:55:46 - mmengine - INFO - Epoch(train) [7][1780/2505] lr: 2.3000e-04 eta: 1 day, 12:07:06 time: 0.9508 data_time: 0.3338 memory: 32703 grad_norm: 27.0872 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9927 loss: 1.9927 2022/07/29 16:56:06 - mmengine - INFO - Epoch(train) [7][1800/2505] lr: 2.3000e-04 eta: 1 day, 12:06:49 time: 1.0337 data_time: 0.4198 memory: 32703 grad_norm: 27.4915 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6160 loss: 1.6160 2022/07/29 16:56:26 - mmengine - INFO - Epoch(train) [7][1820/2505] lr: 2.3000e-04 eta: 1 day, 12:06:21 time: 0.9652 data_time: 0.3510 memory: 32703 grad_norm: 27.4501 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8042 loss: 1.8042 2022/07/29 16:56:45 - mmengine - INFO - Epoch(train) [7][1840/2505] lr: 2.3000e-04 eta: 1 day, 12:05:55 time: 0.9703 data_time: 0.3280 memory: 32703 grad_norm: 27.2713 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 2.0935 loss: 2.0935 2022/07/29 16:57:05 - mmengine - INFO - Epoch(train) [7][1860/2505] lr: 2.3000e-04 eta: 1 day, 12:05:30 time: 0.9857 data_time: 0.3244 memory: 32703 grad_norm: 26.9337 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8294 loss: 1.8294 2022/07/29 16:57:26 - mmengine - INFO - Epoch(train) [7][1880/2505] lr: 2.3000e-04 eta: 1 day, 12:05:15 time: 1.0408 data_time: 0.4466 memory: 32703 grad_norm: 28.0991 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7595 loss: 1.7595 2022/07/29 16:57:44 - mmengine - INFO - Epoch(train) [7][1900/2505] lr: 2.3000e-04 eta: 1 day, 12:04:45 time: 0.9486 data_time: 0.3293 memory: 32703 grad_norm: 26.8799 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.9063 loss: 1.9063 2022/07/29 16:58:04 - mmengine - INFO - Epoch(train) [7][1920/2505] lr: 2.3000e-04 eta: 1 day, 12:04:19 time: 0.9789 data_time: 0.2397 memory: 32703 grad_norm: 27.8351 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6057 loss: 1.6057 2022/07/29 16:58:26 - mmengine - INFO - Epoch(train) [7][1940/2505] lr: 2.3000e-04 eta: 1 day, 12:04:14 time: 1.1116 data_time: 0.0819 memory: 32703 grad_norm: 28.7011 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6808 loss: 1.6808 2022/07/29 16:58:46 - mmengine - INFO - Epoch(train) [7][1960/2505] lr: 2.3000e-04 eta: 1 day, 12:03:48 time: 0.9712 data_time: 0.0284 memory: 32703 grad_norm: 27.8456 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8813 loss: 1.8813 2022/07/29 16:58:55 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 16:59:05 - mmengine - INFO - Epoch(train) [7][1980/2505] lr: 2.3000e-04 eta: 1 day, 12:03:21 time: 0.9707 data_time: 0.0270 memory: 32703 grad_norm: 26.9349 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5604 loss: 1.5604 2022/07/29 16:59:24 - mmengine - INFO - Epoch(train) [7][2000/2505] lr: 2.3000e-04 eta: 1 day, 12:02:50 time: 0.9350 data_time: 0.0266 memory: 32703 grad_norm: 26.5963 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9515 loss: 1.9515 2022/07/29 16:59:45 - mmengine - INFO - Epoch(train) [7][2020/2505] lr: 2.3000e-04 eta: 1 day, 12:02:40 time: 1.0822 data_time: 0.0295 memory: 32703 grad_norm: 26.8902 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9192 loss: 1.9192 2022/07/29 17:00:04 - mmengine - INFO - Epoch(train) [7][2040/2505] lr: 2.3000e-04 eta: 1 day, 12:02:06 time: 0.9223 data_time: 0.0269 memory: 32703 grad_norm: 27.4578 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7300 loss: 1.7300 2022/07/29 17:00:25 - mmengine - INFO - Epoch(train) [7][2060/2505] lr: 2.3000e-04 eta: 1 day, 12:01:50 time: 1.0409 data_time: 0.0305 memory: 32703 grad_norm: 27.4516 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8126 loss: 1.8126 2022/07/29 17:00:43 - mmengine - INFO - Epoch(train) [7][2080/2505] lr: 2.3000e-04 eta: 1 day, 12:01:17 time: 0.9241 data_time: 0.0282 memory: 32703 grad_norm: 27.4115 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5253 loss: 1.5253 2022/07/29 17:01:04 - mmengine - INFO - Epoch(train) [7][2100/2505] lr: 2.3000e-04 eta: 1 day, 12:01:04 time: 1.0607 data_time: 0.0848 memory: 32703 grad_norm: 28.3518 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8057 loss: 1.8057 2022/07/29 17:01:23 - mmengine - INFO - Epoch(train) [7][2120/2505] lr: 2.3000e-04 eta: 1 day, 12:00:32 time: 0.9308 data_time: 0.1181 memory: 32703 grad_norm: 27.1461 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4075 loss: 1.4075 2022/07/29 17:01:43 - mmengine - INFO - Epoch(train) [7][2140/2505] lr: 2.3000e-04 eta: 1 day, 12:00:11 time: 1.0063 data_time: 0.2397 memory: 32703 grad_norm: 27.5821 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8950 loss: 1.8950 2022/07/29 17:02:01 - mmengine - INFO - Epoch(train) [7][2160/2505] lr: 2.3000e-04 eta: 1 day, 11:59:34 time: 0.9016 data_time: 0.1231 memory: 32703 grad_norm: 28.2879 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0466 loss: 2.0466 2022/07/29 17:02:24 - mmengine - INFO - Epoch(train) [7][2180/2505] lr: 2.3000e-04 eta: 1 day, 11:59:30 time: 1.1198 data_time: 0.0697 memory: 32703 grad_norm: 27.5339 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7063 loss: 1.7063 2022/07/29 17:02:40 - mmengine - INFO - Epoch(train) [7][2200/2505] lr: 2.3000e-04 eta: 1 day, 11:58:40 time: 0.8111 data_time: 0.0253 memory: 32703 grad_norm: 26.5102 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8197 loss: 1.8197 2022/07/29 17:03:01 - mmengine - INFO - Epoch(train) [7][2220/2505] lr: 2.3000e-04 eta: 1 day, 11:58:28 time: 1.0661 data_time: 0.0244 memory: 32703 grad_norm: 28.6011 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7754 loss: 1.7754 2022/07/29 17:03:20 - mmengine - INFO - Epoch(train) [7][2240/2505] lr: 2.3000e-04 eta: 1 day, 11:57:53 time: 0.9154 data_time: 0.0348 memory: 32703 grad_norm: 27.8886 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8671 loss: 1.8671 2022/07/29 17:03:40 - mmengine - INFO - Epoch(train) [7][2260/2505] lr: 2.3000e-04 eta: 1 day, 11:57:38 time: 1.0445 data_time: 0.0328 memory: 32703 grad_norm: 27.7958 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5605 loss: 1.5605 2022/07/29 17:03:59 - mmengine - INFO - Epoch(train) [7][2280/2505] lr: 2.3000e-04 eta: 1 day, 11:57:02 time: 0.9062 data_time: 0.0330 memory: 32703 grad_norm: 27.3019 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8553 loss: 1.8553 2022/07/29 17:04:18 - mmengine - INFO - Epoch(train) [7][2300/2505] lr: 2.3000e-04 eta: 1 day, 11:56:39 time: 0.9891 data_time: 0.0987 memory: 32703 grad_norm: 26.8076 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7847 loss: 1.7847 2022/07/29 17:04:37 - mmengine - INFO - Epoch(train) [7][2320/2505] lr: 2.3000e-04 eta: 1 day, 11:56:09 time: 0.9440 data_time: 0.1250 memory: 32703 grad_norm: 27.5190 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.9011 loss: 1.9011 2022/07/29 17:04:57 - mmengine - INFO - Epoch(train) [7][2340/2505] lr: 2.3000e-04 eta: 1 day, 11:55:45 time: 0.9882 data_time: 0.1482 memory: 32703 grad_norm: 26.7288 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8122 loss: 1.8122 2022/07/29 17:05:17 - mmengine - INFO - Epoch(train) [7][2360/2505] lr: 2.3000e-04 eta: 1 day, 11:55:20 time: 0.9802 data_time: 0.0508 memory: 32703 grad_norm: 28.8741 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3196 loss: 1.3196 2022/07/29 17:05:37 - mmengine - INFO - Epoch(train) [7][2380/2505] lr: 2.3000e-04 eta: 1 day, 11:54:58 time: 0.9998 data_time: 0.0746 memory: 32703 grad_norm: 27.6890 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5377 loss: 1.5377 2022/07/29 17:05:56 - mmengine - INFO - Epoch(train) [7][2400/2505] lr: 2.3000e-04 eta: 1 day, 11:54:34 time: 0.9847 data_time: 0.0254 memory: 32703 grad_norm: 26.7158 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.8744 loss: 1.8744 2022/07/29 17:06:17 - mmengine - INFO - Epoch(train) [7][2420/2505] lr: 2.3000e-04 eta: 1 day, 11:54:19 time: 1.0409 data_time: 0.0471 memory: 32703 grad_norm: 27.8958 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5936 loss: 1.5936 2022/07/29 17:06:35 - mmengine - INFO - Epoch(train) [7][2440/2505] lr: 2.3000e-04 eta: 1 day, 11:53:42 time: 0.9011 data_time: 0.0813 memory: 32703 grad_norm: 27.4221 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4468 loss: 1.4468 2022/07/29 17:06:57 - mmengine - INFO - Epoch(train) [7][2460/2505] lr: 2.3000e-04 eta: 1 day, 11:53:37 time: 1.1167 data_time: 0.2815 memory: 32703 grad_norm: 27.4252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8424 loss: 1.8424 2022/07/29 17:07:15 - mmengine - INFO - Epoch(train) [7][2480/2505] lr: 2.3000e-04 eta: 1 day, 11:52:54 time: 0.8534 data_time: 0.0745 memory: 32703 grad_norm: 27.0505 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.5995 loss: 1.5995 2022/07/29 17:07:33 - mmengine - INFO - Epoch(train) [7][2500/2505] lr: 2.3000e-04 eta: 1 day, 11:52:18 time: 0.8997 data_time: 0.0390 memory: 32703 grad_norm: 28.2163 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6369 loss: 1.6369 2022/07/29 17:07:35 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 17:07:35 - mmengine - INFO - Epoch(train) [7][2505/2505] lr: 2.3000e-04 eta: 1 day, 11:52:18 time: 0.7531 data_time: 0.0285 memory: 32703 grad_norm: 28.2983 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6070 loss: 1.6070 2022/07/29 17:08:02 - mmengine - INFO - Epoch(train) [8][20/2505] lr: 2.6000e-04 eta: 1 day, 11:52:00 time: 1.3175 data_time: 0.6043 memory: 32703 grad_norm: 26.8470 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7736 loss: 1.7736 2022/07/29 17:08:20 - mmengine - INFO - Epoch(train) [8][40/2505] lr: 2.6000e-04 eta: 1 day, 11:51:27 time: 0.9191 data_time: 0.2424 memory: 32703 grad_norm: 27.4236 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8530 loss: 1.8530 2022/07/29 17:08:42 - mmengine - INFO - Epoch(train) [8][60/2505] lr: 2.6000e-04 eta: 1 day, 11:51:19 time: 1.0987 data_time: 0.3061 memory: 32703 grad_norm: 27.6967 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7666 loss: 1.7666 2022/07/29 17:09:01 - mmengine - INFO - Epoch(train) [8][80/2505] lr: 2.6000e-04 eta: 1 day, 11:50:49 time: 0.9378 data_time: 0.1030 memory: 32703 grad_norm: 27.8844 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7756 loss: 1.7756 2022/07/29 17:09:22 - mmengine - INFO - Epoch(train) [8][100/2505] lr: 2.6000e-04 eta: 1 day, 11:50:37 time: 1.0681 data_time: 0.0393 memory: 32703 grad_norm: 27.8297 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6838 loss: 1.6838 2022/07/29 17:09:41 - mmengine - INFO - Epoch(train) [8][120/2505] lr: 2.6000e-04 eta: 1 day, 11:50:04 time: 0.9216 data_time: 0.0288 memory: 32703 grad_norm: 27.1715 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7479 loss: 1.7479 2022/07/29 17:10:04 - mmengine - INFO - Epoch(train) [8][140/2505] lr: 2.6000e-04 eta: 1 day, 11:50:05 time: 1.1585 data_time: 0.0294 memory: 32703 grad_norm: 27.5604 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.6529 loss: 1.6529 2022/07/29 17:10:21 - mmengine - INFO - Epoch(train) [8][160/2505] lr: 2.6000e-04 eta: 1 day, 11:49:21 time: 0.8515 data_time: 0.0254 memory: 32703 grad_norm: 27.4499 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7839 loss: 1.7839 2022/07/29 17:10:43 - mmengine - INFO - Epoch(train) [8][180/2505] lr: 2.6000e-04 eta: 1 day, 11:49:12 time: 1.0850 data_time: 0.0306 memory: 32703 grad_norm: 26.5987 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7168 loss: 1.7168 2022/07/29 17:11:01 - mmengine - INFO - Epoch(train) [8][200/2505] lr: 2.6000e-04 eta: 1 day, 11:48:39 time: 0.9217 data_time: 0.0375 memory: 32703 grad_norm: 26.8226 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5519 loss: 1.5519 2022/07/29 17:11:23 - mmengine - INFO - Epoch(train) [8][220/2505] lr: 2.6000e-04 eta: 1 day, 11:48:27 time: 1.0697 data_time: 0.0311 memory: 32703 grad_norm: 28.1967 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7210 loss: 1.7210 2022/07/29 17:11:40 - mmengine - INFO - Epoch(train) [8][240/2505] lr: 2.6000e-04 eta: 1 day, 11:47:50 time: 0.8945 data_time: 0.0362 memory: 32703 grad_norm: 28.1458 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9224 loss: 1.9224 2022/07/29 17:12:01 - mmengine - INFO - Epoch(train) [8][260/2505] lr: 2.6000e-04 eta: 1 day, 11:47:30 time: 1.0097 data_time: 0.0315 memory: 32703 grad_norm: 26.5161 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6168 loss: 1.6168 2022/07/29 17:12:20 - mmengine - INFO - Epoch(train) [8][280/2505] lr: 2.6000e-04 eta: 1 day, 11:47:03 time: 0.9641 data_time: 0.0456 memory: 32703 grad_norm: 25.5101 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7907 loss: 1.7907 2022/07/29 17:12:41 - mmengine - INFO - Epoch(train) [8][300/2505] lr: 2.6000e-04 eta: 1 day, 11:46:49 time: 1.0567 data_time: 0.0315 memory: 32703 grad_norm: 26.9322 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.6625 loss: 1.6625 2022/07/29 17:12:58 - mmengine - INFO - Epoch(train) [8][320/2505] lr: 2.6000e-04 eta: 1 day, 11:46:06 time: 0.8471 data_time: 0.0374 memory: 32703 grad_norm: 27.0964 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5882 loss: 1.5882 2022/07/29 17:13:21 - mmengine - INFO - Epoch(train) [8][340/2505] lr: 2.6000e-04 eta: 1 day, 11:46:06 time: 1.1526 data_time: 0.0339 memory: 32703 grad_norm: 27.5416 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6454 loss: 1.6454 2022/07/29 17:13:39 - mmengine - INFO - Epoch(train) [8][360/2505] lr: 2.6000e-04 eta: 1 day, 11:45:28 time: 0.8850 data_time: 0.0321 memory: 32703 grad_norm: 27.7514 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6275 loss: 1.6275 2022/07/29 17:13:59 - mmengine - INFO - Epoch(train) [8][380/2505] lr: 2.6000e-04 eta: 1 day, 11:45:12 time: 1.0406 data_time: 0.0274 memory: 32703 grad_norm: 27.7434 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8789 loss: 1.8789 2022/07/29 17:14:17 - mmengine - INFO - Epoch(train) [8][400/2505] lr: 2.6000e-04 eta: 1 day, 11:44:36 time: 0.9001 data_time: 0.0301 memory: 32703 grad_norm: 28.2604 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7706 loss: 1.7706 2022/07/29 17:14:40 - mmengine - INFO - Epoch(train) [8][420/2505] lr: 2.6000e-04 eta: 1 day, 11:44:31 time: 1.1165 data_time: 0.0289 memory: 32703 grad_norm: 27.8505 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7669 loss: 1.7669 2022/07/29 17:14:58 - mmengine - INFO - Epoch(train) [8][440/2505] lr: 2.6000e-04 eta: 1 day, 11:43:58 time: 0.9211 data_time: 0.0278 memory: 32703 grad_norm: 27.7793 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9724 loss: 1.9724 2022/07/29 17:15:19 - mmengine - INFO - Epoch(train) [8][460/2505] lr: 2.6000e-04 eta: 1 day, 11:43:40 time: 1.0236 data_time: 0.0261 memory: 32703 grad_norm: 26.5363 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7567 loss: 1.7567 2022/07/29 17:15:22 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 17:15:36 - mmengine - INFO - Epoch(train) [8][480/2505] lr: 2.6000e-04 eta: 1 day, 11:43:01 time: 0.8816 data_time: 0.0260 memory: 32703 grad_norm: 27.3263 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.4721 loss: 1.4721 2022/07/29 17:15:58 - mmengine - INFO - Epoch(train) [8][500/2505] lr: 2.6000e-04 eta: 1 day, 11:42:50 time: 1.0754 data_time: 0.0303 memory: 32703 grad_norm: 27.3248 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8418 loss: 1.8418 2022/07/29 17:16:15 - mmengine - INFO - Epoch(train) [8][520/2505] lr: 2.6000e-04 eta: 1 day, 11:42:09 time: 0.8631 data_time: 0.0324 memory: 32703 grad_norm: 27.2263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6137 loss: 1.6137 2022/07/29 17:16:36 - mmengine - INFO - Epoch(train) [8][540/2505] lr: 2.6000e-04 eta: 1 day, 11:41:56 time: 1.0588 data_time: 0.0281 memory: 32703 grad_norm: 25.5354 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7283 loss: 1.7283 2022/07/29 17:16:55 - mmengine - INFO - Epoch(train) [8][560/2505] lr: 2.6000e-04 eta: 1 day, 11:41:24 time: 0.9301 data_time: 0.0394 memory: 32703 grad_norm: 26.4644 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7391 loss: 1.7391 2022/07/29 17:17:24 - mmengine - INFO - Epoch(train) [8][580/2505] lr: 2.6000e-04 eta: 1 day, 11:42:05 time: 1.4446 data_time: 0.0324 memory: 32703 grad_norm: 27.4587 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6222 loss: 1.6222 2022/07/29 17:17:45 - mmengine - INFO - Epoch(train) [8][600/2505] lr: 2.6000e-04 eta: 1 day, 11:41:55 time: 1.0817 data_time: 0.1020 memory: 32703 grad_norm: 26.7100 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7762 loss: 1.7762 2022/07/29 17:18:08 - mmengine - INFO - Epoch(train) [8][620/2505] lr: 2.6000e-04 eta: 1 day, 11:41:51 time: 1.1245 data_time: 0.1171 memory: 32703 grad_norm: 26.0684 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6365 loss: 1.6365 2022/07/29 17:18:26 - mmengine - INFO - Epoch(train) [8][640/2505] lr: 2.6000e-04 eta: 1 day, 11:41:13 time: 0.8868 data_time: 0.1229 memory: 32703 grad_norm: 26.2679 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7436 loss: 1.7436 2022/07/29 17:18:46 - mmengine - INFO - Epoch(train) [8][660/2505] lr: 2.6000e-04 eta: 1 day, 11:40:52 time: 1.0072 data_time: 0.2580 memory: 32703 grad_norm: 26.1388 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5475 loss: 1.5475 2022/07/29 17:19:08 - mmengine - INFO - Epoch(train) [8][680/2505] lr: 2.6000e-04 eta: 1 day, 11:40:46 time: 1.1119 data_time: 0.5011 memory: 32703 grad_norm: 26.7298 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9050 loss: 1.9050 2022/07/29 17:19:24 - mmengine - INFO - Epoch(train) [8][700/2505] lr: 2.6000e-04 eta: 1 day, 11:39:57 time: 0.8040 data_time: 0.2085 memory: 32703 grad_norm: 27.8075 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6119 loss: 1.6119 2022/07/29 17:19:47 - mmengine - INFO - Epoch(train) [8][720/2505] lr: 2.6000e-04 eta: 1 day, 11:39:56 time: 1.1493 data_time: 0.5269 memory: 32703 grad_norm: 27.8859 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7825 loss: 1.7825 2022/07/29 17:20:03 - mmengine - INFO - Epoch(train) [8][740/2505] lr: 2.6000e-04 eta: 1 day, 11:39:07 time: 0.8016 data_time: 0.2244 memory: 32703 grad_norm: 27.9024 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4912 loss: 1.4912 2022/07/29 17:20:24 - mmengine - INFO - Epoch(train) [8][760/2505] lr: 2.6000e-04 eta: 1 day, 11:38:53 time: 1.0575 data_time: 0.4201 memory: 32703 grad_norm: 25.6266 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6256 loss: 1.6256 2022/07/29 17:20:42 - mmengine - INFO - Epoch(train) [8][780/2505] lr: 2.6000e-04 eta: 1 day, 11:38:16 time: 0.8827 data_time: 0.3056 memory: 32703 grad_norm: 26.9791 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5912 loss: 1.5912 2022/07/29 17:21:06 - mmengine - INFO - Epoch(train) [8][800/2505] lr: 2.6000e-04 eta: 1 day, 11:38:23 time: 1.2114 data_time: 0.5852 memory: 32703 grad_norm: 26.9655 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4111 loss: 1.4111 2022/07/29 17:21:22 - mmengine - INFO - Epoch(train) [8][820/2505] lr: 2.6000e-04 eta: 1 day, 11:37:33 time: 0.7910 data_time: 0.2114 memory: 32703 grad_norm: 27.3883 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6118 loss: 1.6118 2022/07/29 17:21:44 - mmengine - INFO - Epoch(train) [8][840/2505] lr: 2.6000e-04 eta: 1 day, 11:37:22 time: 1.0772 data_time: 0.4919 memory: 32703 grad_norm: 26.5573 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7480 loss: 1.7480 2022/07/29 17:22:07 - mmengine - INFO - Epoch(train) [8][860/2505] lr: 2.6000e-04 eta: 1 day, 11:37:22 time: 1.1632 data_time: 0.5075 memory: 32703 grad_norm: 27.1129 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6295 loss: 1.6295 2022/07/29 17:22:27 - mmengine - INFO - Epoch(train) [8][880/2505] lr: 2.6000e-04 eta: 1 day, 11:37:02 time: 1.0060 data_time: 0.3887 memory: 32703 grad_norm: 27.2932 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6654 loss: 1.6654 2022/07/29 17:22:44 - mmengine - INFO - Epoch(train) [8][900/2505] lr: 2.6000e-04 eta: 1 day, 11:36:18 time: 0.8406 data_time: 0.2638 memory: 32703 grad_norm: 25.4083 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6524 loss: 1.6524 2022/07/29 17:23:05 - mmengine - INFO - Epoch(train) [8][920/2505] lr: 2.6000e-04 eta: 1 day, 11:36:06 time: 1.0723 data_time: 0.4472 memory: 32703 grad_norm: 27.3213 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7483 loss: 1.7483 2022/07/29 17:23:22 - mmengine - INFO - Epoch(train) [8][940/2505] lr: 2.6000e-04 eta: 1 day, 11:35:26 time: 0.8621 data_time: 0.2806 memory: 32703 grad_norm: 27.3389 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7743 loss: 1.7743 2022/07/29 17:23:43 - mmengine - INFO - Epoch(train) [8][960/2505] lr: 2.6000e-04 eta: 1 day, 11:35:08 time: 1.0291 data_time: 0.4464 memory: 32703 grad_norm: 27.3203 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7073 loss: 1.7073 2022/07/29 17:24:01 - mmengine - INFO - Epoch(train) [8][980/2505] lr: 2.6000e-04 eta: 1 day, 11:34:30 time: 0.8774 data_time: 0.2814 memory: 32703 grad_norm: 26.7983 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7412 loss: 1.7412 2022/07/29 17:24:21 - mmengine - INFO - Epoch(train) [8][1000/2505] lr: 2.6000e-04 eta: 1 day, 11:34:09 time: 1.0039 data_time: 0.3947 memory: 32703 grad_norm: 27.1524 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6950 loss: 1.6950 2022/07/29 17:24:40 - mmengine - INFO - Epoch(train) [8][1020/2505] lr: 2.6000e-04 eta: 1 day, 11:33:41 time: 0.9579 data_time: 0.1000 memory: 32703 grad_norm: 26.0255 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7597 loss: 1.7597 2022/07/29 17:25:00 - mmengine - INFO - Epoch(train) [8][1040/2505] lr: 2.6000e-04 eta: 1 day, 11:33:24 time: 1.0288 data_time: 0.1610 memory: 32703 grad_norm: 26.9678 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 1.8462 loss: 1.8462 2022/07/29 17:25:21 - mmengine - INFO - Epoch(train) [8][1060/2505] lr: 2.6000e-04 eta: 1 day, 11:33:09 time: 1.0514 data_time: 0.1466 memory: 32703 grad_norm: 26.1388 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6487 loss: 1.6487 2022/07/29 17:25:44 - mmengine - INFO - Epoch(train) [8][1080/2505] lr: 2.6000e-04 eta: 1 day, 11:33:04 time: 1.1199 data_time: 0.0797 memory: 32703 grad_norm: 27.3662 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.6516 loss: 1.6516 2022/07/29 17:26:02 - mmengine - INFO - Epoch(train) [8][1100/2505] lr: 2.6000e-04 eta: 1 day, 11:32:30 time: 0.9110 data_time: 0.0780 memory: 32703 grad_norm: 25.7582 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.3423 loss: 1.3423 2022/07/29 17:26:21 - mmengine - INFO - Epoch(train) [8][1120/2505] lr: 2.6000e-04 eta: 1 day, 11:32:01 time: 0.9424 data_time: 0.0416 memory: 32703 grad_norm: 27.3932 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5226 loss: 1.5226 2022/07/29 17:26:45 - mmengine - INFO - Epoch(train) [8][1140/2505] lr: 2.6000e-04 eta: 1 day, 11:32:04 time: 1.1848 data_time: 0.0303 memory: 32703 grad_norm: 26.7909 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5109 loss: 1.5109 2022/07/29 17:27:01 - mmengine - INFO - Epoch(train) [8][1160/2505] lr: 2.6000e-04 eta: 1 day, 11:31:21 time: 0.8424 data_time: 0.0267 memory: 32703 grad_norm: 26.6054 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7402 loss: 1.7402 2022/07/29 17:27:22 - mmengine - INFO - Epoch(train) [8][1180/2505] lr: 2.6000e-04 eta: 1 day, 11:31:03 time: 1.0261 data_time: 0.0291 memory: 32703 grad_norm: 26.0413 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7283 loss: 1.7283 2022/07/29 17:27:41 - mmengine - INFO - Epoch(train) [8][1200/2505] lr: 2.6000e-04 eta: 1 day, 11:30:32 time: 0.9263 data_time: 0.0347 memory: 32703 grad_norm: 26.3229 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7492 loss: 1.7492 2022/07/29 17:28:01 - mmengine - INFO - Epoch(train) [8][1220/2505] lr: 2.6000e-04 eta: 1 day, 11:30:16 time: 1.0444 data_time: 0.0344 memory: 32703 grad_norm: 25.6637 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.8282 loss: 1.8282 2022/07/29 17:28:22 - mmengine - INFO - Epoch(train) [8][1240/2505] lr: 2.6000e-04 eta: 1 day, 11:29:56 time: 1.0132 data_time: 0.0313 memory: 32703 grad_norm: 26.5199 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7706 loss: 1.7706 2022/07/29 17:28:40 - mmengine - INFO - Epoch(train) [8][1260/2505] lr: 2.6000e-04 eta: 1 day, 11:29:24 time: 0.9202 data_time: 0.0282 memory: 32703 grad_norm: 26.2191 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6523 loss: 1.6523 2022/07/29 17:29:00 - mmengine - INFO - Epoch(train) [8][1280/2505] lr: 2.6000e-04 eta: 1 day, 11:29:01 time: 0.9873 data_time: 0.0291 memory: 32703 grad_norm: 26.3757 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4497 loss: 1.4497 2022/07/29 17:29:19 - mmengine - INFO - Epoch(train) [8][1300/2505] lr: 2.6000e-04 eta: 1 day, 11:28:33 time: 0.9545 data_time: 0.0322 memory: 32703 grad_norm: 28.0596 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6257 loss: 1.6257 2022/07/29 17:29:40 - mmengine - INFO - Epoch(train) [8][1320/2505] lr: 2.6000e-04 eta: 1 day, 11:28:20 time: 1.0628 data_time: 0.0370 memory: 32703 grad_norm: 26.6108 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7354 loss: 1.7354 2022/07/29 17:29:59 - mmengine - INFO - Epoch(train) [8][1340/2505] lr: 2.6000e-04 eta: 1 day, 11:27:53 time: 0.9629 data_time: 0.0324 memory: 32703 grad_norm: 27.0317 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7372 loss: 1.7372 2022/07/29 17:30:20 - mmengine - INFO - Epoch(train) [8][1360/2505] lr: 2.6000e-04 eta: 1 day, 11:27:37 time: 1.0387 data_time: 0.0298 memory: 32703 grad_norm: 25.2682 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5163 loss: 1.5163 2022/07/29 17:30:37 - mmengine - INFO - Epoch(train) [8][1380/2505] lr: 2.6000e-04 eta: 1 day, 11:26:54 time: 0.8431 data_time: 0.0300 memory: 32703 grad_norm: 26.7956 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8413 loss: 1.8413 2022/07/29 17:30:58 - mmengine - INFO - Epoch(train) [8][1400/2505] lr: 2.6000e-04 eta: 1 day, 11:26:41 time: 1.0599 data_time: 0.0253 memory: 32703 grad_norm: 26.7612 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8696 loss: 1.8696 2022/07/29 17:31:18 - mmengine - INFO - Epoch(train) [8][1420/2505] lr: 2.6000e-04 eta: 1 day, 11:26:16 time: 0.9715 data_time: 0.0279 memory: 32703 grad_norm: 26.3831 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8096 loss: 1.8096 2022/07/29 17:31:39 - mmengine - INFO - Epoch(train) [8][1440/2505] lr: 2.6000e-04 eta: 1 day, 11:26:04 time: 1.0716 data_time: 0.0291 memory: 32703 grad_norm: 27.7552 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6819 loss: 1.6819 2022/07/29 17:31:57 - mmengine - INFO - Epoch(train) [8][1460/2505] lr: 2.6000e-04 eta: 1 day, 11:25:27 time: 0.8893 data_time: 0.0293 memory: 32703 grad_norm: 28.1313 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6094 loss: 1.6094 2022/07/29 17:32:03 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 17:32:19 - mmengine - INFO - Epoch(train) [8][1480/2505] lr: 2.6000e-04 eta: 1 day, 11:25:18 time: 1.0921 data_time: 0.0259 memory: 32703 grad_norm: 26.8528 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7347 loss: 1.7347 2022/07/29 17:32:36 - mmengine - INFO - Epoch(train) [8][1500/2505] lr: 2.6000e-04 eta: 1 day, 11:24:39 time: 0.8688 data_time: 0.0549 memory: 32703 grad_norm: 27.0736 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.7282 loss: 1.7282 2022/07/29 17:32:56 - mmengine - INFO - Epoch(train) [8][1520/2505] lr: 2.6000e-04 eta: 1 day, 11:24:17 time: 0.9975 data_time: 0.0338 memory: 32703 grad_norm: 26.0921 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6068 loss: 1.6068 2022/07/29 17:33:14 - mmengine - INFO - Epoch(train) [8][1540/2505] lr: 2.6000e-04 eta: 1 day, 11:23:45 time: 0.9172 data_time: 0.0273 memory: 32703 grad_norm: 27.3271 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8079 loss: 1.8079 2022/07/29 17:33:34 - mmengine - INFO - Epoch(train) [8][1560/2505] lr: 2.6000e-04 eta: 1 day, 11:23:23 time: 0.9965 data_time: 0.0263 memory: 32703 grad_norm: 26.4024 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7343 loss: 1.7343 2022/07/29 17:33:54 - mmengine - INFO - Epoch(train) [8][1580/2505] lr: 2.6000e-04 eta: 1 day, 11:23:02 time: 1.0020 data_time: 0.0317 memory: 32703 grad_norm: 25.3584 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9097 loss: 1.9097 2022/07/29 17:34:15 - mmengine - INFO - Epoch(train) [8][1600/2505] lr: 2.6000e-04 eta: 1 day, 11:22:44 time: 1.0262 data_time: 0.0329 memory: 32703 grad_norm: 26.8752 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6277 loss: 1.6277 2022/07/29 17:34:33 - mmengine - INFO - Epoch(train) [8][1620/2505] lr: 2.6000e-04 eta: 1 day, 11:22:13 time: 0.9291 data_time: 0.0363 memory: 32703 grad_norm: 26.9112 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.8672 loss: 1.8672 2022/07/29 17:34:53 - mmengine - INFO - Epoch(train) [8][1640/2505] lr: 2.6000e-04 eta: 1 day, 11:21:48 time: 0.9746 data_time: 0.0246 memory: 32703 grad_norm: 26.1795 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.6616 loss: 1.6616 2022/07/29 17:35:12 - mmengine - INFO - Epoch(train) [8][1660/2505] lr: 2.6000e-04 eta: 1 day, 11:21:23 time: 0.9728 data_time: 0.0369 memory: 32703 grad_norm: 25.9128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8165 loss: 1.8165 2022/07/29 17:35:33 - mmengine - INFO - Epoch(train) [8][1680/2505] lr: 2.6000e-04 eta: 1 day, 11:21:05 time: 1.0210 data_time: 0.1176 memory: 32703 grad_norm: 26.9892 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8960 loss: 1.8960 2022/07/29 17:35:53 - mmengine - INFO - Epoch(train) [8][1700/2505] lr: 2.6000e-04 eta: 1 day, 11:20:44 time: 1.0087 data_time: 0.1471 memory: 32703 grad_norm: 25.1933 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3256 loss: 1.3256 2022/07/29 17:36:13 - mmengine - INFO - Epoch(train) [8][1720/2505] lr: 2.6000e-04 eta: 1 day, 11:20:20 time: 0.9804 data_time: 0.0313 memory: 32703 grad_norm: 26.6321 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6514 loss: 1.6514 2022/07/29 17:36:33 - mmengine - INFO - Epoch(train) [8][1740/2505] lr: 2.6000e-04 eta: 1 day, 11:19:59 time: 1.0019 data_time: 0.0414 memory: 32703 grad_norm: 26.1031 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7443 loss: 1.7443 2022/07/29 17:36:51 - mmengine - INFO - Epoch(train) [8][1760/2505] lr: 2.6000e-04 eta: 1 day, 11:19:26 time: 0.9100 data_time: 0.0322 memory: 32703 grad_norm: 27.3015 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7510 loss: 1.7510 2022/07/29 17:37:11 - mmengine - INFO - Epoch(train) [8][1780/2505] lr: 2.6000e-04 eta: 1 day, 11:19:06 time: 1.0117 data_time: 0.0341 memory: 32703 grad_norm: 26.0567 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7675 loss: 1.7675 2022/07/29 17:37:33 - mmengine - INFO - Epoch(train) [8][1800/2505] lr: 2.6000e-04 eta: 1 day, 11:18:55 time: 1.0765 data_time: 0.0350 memory: 32703 grad_norm: 26.0769 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7475 loss: 1.7475 2022/07/29 17:37:51 - mmengine - INFO - Epoch(train) [8][1820/2505] lr: 2.6000e-04 eta: 1 day, 11:18:22 time: 0.9149 data_time: 0.0317 memory: 32703 grad_norm: 26.5495 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6181 loss: 1.6181 2022/07/29 17:38:11 - mmengine - INFO - Epoch(train) [8][1840/2505] lr: 2.6000e-04 eta: 1 day, 11:18:03 time: 1.0193 data_time: 0.0320 memory: 32703 grad_norm: 26.1088 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7008 loss: 1.7008 2022/07/29 17:38:29 - mmengine - INFO - Epoch(train) [8][1860/2505] lr: 2.6000e-04 eta: 1 day, 11:17:29 time: 0.8984 data_time: 0.0278 memory: 32703 grad_norm: 26.1094 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.1012 loss: 2.1012 2022/07/29 17:38:50 - mmengine - INFO - Epoch(train) [8][1880/2505] lr: 2.6000e-04 eta: 1 day, 11:17:14 time: 1.0471 data_time: 0.0299 memory: 32703 grad_norm: 27.1052 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6021 loss: 1.6021 2022/07/29 17:39:09 - mmengine - INFO - Epoch(train) [8][1900/2505] lr: 2.6000e-04 eta: 1 day, 11:16:42 time: 0.9217 data_time: 0.0316 memory: 32703 grad_norm: 25.9638 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4950 loss: 1.4950 2022/07/29 17:39:31 - mmengine - INFO - Epoch(train) [8][1920/2505] lr: 2.6000e-04 eta: 1 day, 11:16:33 time: 1.0976 data_time: 0.0338 memory: 32703 grad_norm: 26.4690 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5506 loss: 1.5506 2022/07/29 17:39:49 - mmengine - INFO - Epoch(train) [8][1940/2505] lr: 2.6000e-04 eta: 1 day, 11:16:00 time: 0.9107 data_time: 0.0308 memory: 32703 grad_norm: 26.2157 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5903 loss: 1.5903 2022/07/29 17:40:09 - mmengine - INFO - Epoch(train) [8][1960/2505] lr: 2.6000e-04 eta: 1 day, 11:15:40 time: 1.0075 data_time: 0.0341 memory: 32703 grad_norm: 27.3967 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.7181 loss: 1.7181 2022/07/29 17:40:29 - mmengine - INFO - Epoch(train) [8][1980/2505] lr: 2.6000e-04 eta: 1 day, 11:15:18 time: 0.9980 data_time: 0.0320 memory: 32703 grad_norm: 27.1651 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5182 loss: 1.5182 2022/07/29 17:40:55 - mmengine - INFO - Epoch(train) [8][2000/2505] lr: 2.6000e-04 eta: 1 day, 11:15:33 time: 1.2775 data_time: 0.0507 memory: 32703 grad_norm: 25.7742 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6311 loss: 1.6311 2022/07/29 17:41:11 - mmengine - INFO - Epoch(train) [8][2020/2505] lr: 2.6000e-04 eta: 1 day, 11:14:51 time: 0.8443 data_time: 0.1113 memory: 32703 grad_norm: 27.4782 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4136 loss: 1.4136 2022/07/29 17:41:35 - mmengine - INFO - Epoch(train) [8][2040/2505] lr: 2.6000e-04 eta: 1 day, 11:14:51 time: 1.1608 data_time: 0.1662 memory: 32703 grad_norm: 27.8398 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4198 loss: 1.4198 2022/07/29 17:41:56 - mmengine - INFO - Epoch(train) [8][2060/2505] lr: 2.6000e-04 eta: 1 day, 11:14:42 time: 1.0965 data_time: 0.0753 memory: 32703 grad_norm: 26.9364 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4652 loss: 1.4652 2022/07/29 17:42:14 - mmengine - INFO - Epoch(train) [8][2080/2505] lr: 2.6000e-04 eta: 1 day, 11:14:05 time: 0.8830 data_time: 0.0272 memory: 32703 grad_norm: 26.6312 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7957 loss: 1.7957 2022/07/29 17:42:34 - mmengine - INFO - Epoch(train) [8][2100/2505] lr: 2.6000e-04 eta: 1 day, 11:13:40 time: 0.9731 data_time: 0.0804 memory: 32703 grad_norm: 26.1048 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6537 loss: 1.6537 2022/07/29 17:42:52 - mmengine - INFO - Epoch(train) [8][2120/2505] lr: 2.6000e-04 eta: 1 day, 11:13:11 time: 0.9334 data_time: 0.0260 memory: 32703 grad_norm: 26.2687 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7974 loss: 1.7974 2022/07/29 17:43:13 - mmengine - INFO - Epoch(train) [8][2140/2505] lr: 2.6000e-04 eta: 1 day, 11:12:55 time: 1.0494 data_time: 0.0275 memory: 32703 grad_norm: 26.1838 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6047 loss: 1.6047 2022/07/29 17:43:32 - mmengine - INFO - Epoch(train) [8][2160/2505] lr: 2.6000e-04 eta: 1 day, 11:12:22 time: 0.9086 data_time: 0.0337 memory: 32703 grad_norm: 27.1532 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4541 loss: 1.4541 2022/07/29 17:43:53 - mmengine - INFO - Epoch(train) [8][2180/2505] lr: 2.6000e-04 eta: 1 day, 11:12:09 time: 1.0646 data_time: 0.0340 memory: 32703 grad_norm: 26.2967 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4761 loss: 1.4761 2022/07/29 17:44:11 - mmengine - INFO - Epoch(train) [8][2200/2505] lr: 2.6000e-04 eta: 1 day, 11:11:39 time: 0.9310 data_time: 0.0279 memory: 32703 grad_norm: 26.3661 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.8765 loss: 1.8765 2022/07/29 17:44:33 - mmengine - INFO - Epoch(train) [8][2220/2505] lr: 2.6000e-04 eta: 1 day, 11:11:26 time: 1.0630 data_time: 0.0333 memory: 32703 grad_norm: 25.4665 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8738 loss: 1.8738 2022/07/29 17:44:51 - mmengine - INFO - Epoch(train) [8][2240/2505] lr: 2.6000e-04 eta: 1 day, 11:10:54 time: 0.9164 data_time: 0.0276 memory: 32703 grad_norm: 25.5755 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5422 loss: 1.5422 2022/07/29 17:45:12 - mmengine - INFO - Epoch(train) [8][2260/2505] lr: 2.6000e-04 eta: 1 day, 11:10:40 time: 1.0620 data_time: 0.0268 memory: 32703 grad_norm: 25.6292 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5383 loss: 1.5383 2022/07/29 17:45:30 - mmengine - INFO - Epoch(train) [8][2280/2505] lr: 2.6000e-04 eta: 1 day, 11:10:04 time: 0.8828 data_time: 0.1029 memory: 32703 grad_norm: 25.6640 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3626 loss: 1.3626 2022/07/29 17:45:51 - mmengine - INFO - Epoch(train) [8][2300/2505] lr: 2.6000e-04 eta: 1 day, 11:09:52 time: 1.0738 data_time: 0.0408 memory: 32703 grad_norm: 26.8280 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6497 loss: 1.6497 2022/07/29 17:46:14 - mmengine - INFO - Epoch(train) [8][2320/2505] lr: 2.6000e-04 eta: 1 day, 11:09:46 time: 1.1157 data_time: 0.1985 memory: 32703 grad_norm: 25.4366 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5764 loss: 1.5764 2022/07/29 17:46:32 - mmengine - INFO - Epoch(train) [8][2340/2505] lr: 2.6000e-04 eta: 1 day, 11:09:11 time: 0.8988 data_time: 0.0910 memory: 32703 grad_norm: 26.5498 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5096 loss: 1.5096 2022/07/29 17:46:51 - mmengine - INFO - Epoch(train) [8][2360/2505] lr: 2.6000e-04 eta: 1 day, 11:08:43 time: 0.9440 data_time: 0.0290 memory: 32703 grad_norm: 26.6444 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6598 loss: 1.6598 2022/07/29 17:47:12 - mmengine - INFO - Epoch(train) [8][2380/2505] lr: 2.6000e-04 eta: 1 day, 11:08:29 time: 1.0544 data_time: 0.0306 memory: 32703 grad_norm: 25.8461 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.7806 loss: 1.7806 2022/07/29 17:47:30 - mmengine - INFO - Epoch(train) [8][2400/2505] lr: 2.6000e-04 eta: 1 day, 11:07:56 time: 0.9074 data_time: 0.0272 memory: 32703 grad_norm: 24.5014 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6850 loss: 1.6850 2022/07/29 17:47:53 - mmengine - INFO - Epoch(train) [8][2420/2505] lr: 2.6000e-04 eta: 1 day, 11:07:56 time: 1.1693 data_time: 0.0302 memory: 32703 grad_norm: 26.1040 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6296 loss: 1.6296 2022/07/29 17:48:11 - mmengine - INFO - Epoch(train) [8][2440/2505] lr: 2.6000e-04 eta: 1 day, 11:07:22 time: 0.8985 data_time: 0.0572 memory: 32703 grad_norm: 26.0781 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8190 loss: 1.8190 2022/07/29 17:48:33 - mmengine - INFO - Epoch(train) [8][2460/2505] lr: 2.6000e-04 eta: 1 day, 11:07:13 time: 1.1027 data_time: 0.0250 memory: 32703 grad_norm: 26.7740 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6871 loss: 1.6871 2022/07/29 17:48:37 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 17:48:51 - mmengine - INFO - Epoch(train) [8][2480/2505] lr: 2.6000e-04 eta: 1 day, 11:06:41 time: 0.9099 data_time: 0.0366 memory: 32703 grad_norm: 25.9941 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8477 loss: 1.8477 2022/07/29 17:49:10 - mmengine - INFO - Epoch(train) [8][2500/2505] lr: 2.6000e-04 eta: 1 day, 11:06:09 time: 0.9220 data_time: 0.0267 memory: 32703 grad_norm: 27.0603 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6583 loss: 1.6583 2022/07/29 17:49:13 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 17:49:13 - mmengine - INFO - Epoch(train) [8][2505/2505] lr: 2.6000e-04 eta: 1 day, 11:06:09 time: 0.8086 data_time: 0.0210 memory: 32703 grad_norm: 27.1071 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.6155 loss: 1.6155 2022/07/29 17:49:13 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/07/29 17:49:41 - mmengine - INFO - Epoch(train) [9][20/2505] lr: 2.9000e-04 eta: 1 day, 11:05:35 time: 1.1872 data_time: 0.5596 memory: 32703 grad_norm: 25.2248 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8561 loss: 1.8561 2022/07/29 17:49:59 - mmengine - INFO - Epoch(train) [9][40/2505] lr: 2.9000e-04 eta: 1 day, 11:05:00 time: 0.8885 data_time: 0.1826 memory: 32703 grad_norm: 27.2015 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2860 loss: 1.2860 2022/07/29 17:50:19 - mmengine - INFO - Epoch(train) [9][60/2505] lr: 2.9000e-04 eta: 1 day, 11:04:39 time: 1.0064 data_time: 0.2037 memory: 32703 grad_norm: 26.8988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6940 loss: 1.6940 2022/07/29 17:50:39 - mmengine - INFO - Epoch(train) [9][80/2505] lr: 2.9000e-04 eta: 1 day, 11:04:16 time: 0.9807 data_time: 0.2929 memory: 32703 grad_norm: 25.5836 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5911 loss: 1.5911 2022/07/29 17:50:59 - mmengine - INFO - Epoch(train) [9][100/2505] lr: 2.9000e-04 eta: 1 day, 11:03:55 time: 1.0060 data_time: 0.1848 memory: 32703 grad_norm: 25.8769 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5076 loss: 1.5076 2022/07/29 17:51:18 - mmengine - INFO - Epoch(train) [9][120/2505] lr: 2.9000e-04 eta: 1 day, 11:03:29 time: 0.9575 data_time: 0.1034 memory: 32703 grad_norm: 25.6350 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5059 loss: 1.5059 2022/07/29 17:51:39 - mmengine - INFO - Epoch(train) [9][140/2505] lr: 2.9000e-04 eta: 1 day, 11:03:16 time: 1.0665 data_time: 0.0653 memory: 32703 grad_norm: 25.9332 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8686 loss: 1.8686 2022/07/29 17:51:59 - mmengine - INFO - Epoch(train) [9][160/2505] lr: 2.9000e-04 eta: 1 day, 11:02:50 time: 0.9604 data_time: 0.1021 memory: 32703 grad_norm: 27.1264 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5591 loss: 1.5591 2022/07/29 17:52:19 - mmengine - INFO - Epoch(train) [9][180/2505] lr: 2.9000e-04 eta: 1 day, 11:02:31 time: 1.0180 data_time: 0.0716 memory: 32703 grad_norm: 26.9005 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7139 loss: 1.7139 2022/07/29 17:52:37 - mmengine - INFO - Epoch(train) [9][200/2505] lr: 2.9000e-04 eta: 1 day, 11:02:00 time: 0.9232 data_time: 0.0844 memory: 32703 grad_norm: 25.6269 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.8029 loss: 1.8029 2022/07/29 17:52:57 - mmengine - INFO - Epoch(train) [9][220/2505] lr: 2.9000e-04 eta: 1 day, 11:01:37 time: 0.9885 data_time: 0.1489 memory: 32703 grad_norm: 26.7718 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7691 loss: 1.7691 2022/07/29 17:53:17 - mmengine - INFO - Epoch(train) [9][240/2505] lr: 2.9000e-04 eta: 1 day, 11:01:13 time: 0.9744 data_time: 0.1336 memory: 32703 grad_norm: 26.6754 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7920 loss: 1.7920 2022/07/29 17:53:36 - mmengine - INFO - Epoch(train) [9][260/2505] lr: 2.9000e-04 eta: 1 day, 11:00:48 time: 0.9736 data_time: 0.0491 memory: 32703 grad_norm: 26.6786 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8398 loss: 1.8398 2022/07/29 17:54:01 - mmengine - INFO - Epoch(train) [9][280/2505] lr: 2.9000e-04 eta: 1 day, 11:00:56 time: 1.2320 data_time: 0.1282 memory: 32703 grad_norm: 25.8246 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5654 loss: 1.5654 2022/07/29 17:54:24 - mmengine - INFO - Epoch(train) [9][300/2505] lr: 2.9000e-04 eta: 1 day, 11:00:54 time: 1.1608 data_time: 0.2791 memory: 32703 grad_norm: 26.1901 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8724 loss: 1.8724 2022/07/29 17:54:45 - mmengine - INFO - Epoch(train) [9][320/2505] lr: 2.9000e-04 eta: 1 day, 11:00:41 time: 1.0672 data_time: 0.0987 memory: 32703 grad_norm: 26.8253 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7303 loss: 1.7303 2022/07/29 17:55:09 - mmengine - INFO - Epoch(train) [9][340/2505] lr: 2.9000e-04 eta: 1 day, 11:00:44 time: 1.1946 data_time: 0.0445 memory: 32703 grad_norm: 26.6673 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6098 loss: 1.6098 2022/07/29 17:55:30 - mmengine - INFO - Epoch(train) [9][360/2505] lr: 2.9000e-04 eta: 1 day, 11:00:30 time: 1.0600 data_time: 0.0509 memory: 32703 grad_norm: 26.8994 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4516 loss: 1.4516 2022/07/29 17:55:51 - mmengine - INFO - Epoch(train) [9][380/2505] lr: 2.9000e-04 eta: 1 day, 11:00:11 time: 1.0238 data_time: 0.0485 memory: 32703 grad_norm: 27.2143 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7777 loss: 1.7777 2022/07/29 17:56:16 - mmengine - INFO - Epoch(train) [9][400/2505] lr: 2.9000e-04 eta: 1 day, 11:00:20 time: 1.2423 data_time: 0.0766 memory: 32703 grad_norm: 26.9210 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7161 loss: 1.7161 2022/07/29 17:56:36 - mmengine - INFO - Epoch(train) [9][420/2505] lr: 2.9000e-04 eta: 1 day, 11:00:01 time: 1.0228 data_time: 0.0471 memory: 32703 grad_norm: 27.4582 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7762 loss: 1.7762 2022/07/29 17:57:00 - mmengine - INFO - Epoch(train) [9][440/2505] lr: 2.9000e-04 eta: 1 day, 11:00:05 time: 1.2097 data_time: 0.0938 memory: 32703 grad_norm: 25.7712 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8020 loss: 1.8020 2022/07/29 17:57:15 - mmengine - INFO - Epoch(train) [9][460/2505] lr: 2.9000e-04 eta: 1 day, 10:59:11 time: 0.7324 data_time: 0.0358 memory: 32703 grad_norm: 26.7794 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6940 loss: 1.6940 2022/07/29 17:57:39 - mmengine - INFO - Epoch(train) [9][480/2505] lr: 2.9000e-04 eta: 1 day, 10:59:15 time: 1.2068 data_time: 0.0239 memory: 32703 grad_norm: 26.7479 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5131 loss: 1.5131 2022/07/29 17:57:58 - mmengine - INFO - Epoch(train) [9][500/2505] lr: 2.9000e-04 eta: 1 day, 10:58:44 time: 0.9145 data_time: 0.0319 memory: 32703 grad_norm: 25.9744 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7021 loss: 1.7021 2022/07/29 17:58:19 - mmengine - INFO - Epoch(train) [9][520/2505] lr: 2.9000e-04 eta: 1 day, 10:58:35 time: 1.1024 data_time: 0.1847 memory: 32703 grad_norm: 26.2348 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.8485 loss: 1.8485 2022/07/29 17:58:43 - mmengine - INFO - Epoch(train) [9][540/2505] lr: 2.9000e-04 eta: 1 day, 10:58:35 time: 1.1832 data_time: 0.0257 memory: 32703 grad_norm: 26.4170 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8620 loss: 1.8620 2022/07/29 17:59:03 - mmengine - INFO - Epoch(train) [9][560/2505] lr: 2.9000e-04 eta: 1 day, 10:58:15 time: 1.0044 data_time: 0.0316 memory: 32703 grad_norm: 27.4361 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7178 loss: 1.7178 2022/07/29 17:59:20 - mmengine - INFO - Epoch(train) [9][580/2505] lr: 2.9000e-04 eta: 1 day, 10:57:34 time: 0.8374 data_time: 0.0325 memory: 32703 grad_norm: 25.8481 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.8044 loss: 1.8044 2022/07/29 17:59:47 - mmengine - INFO - Epoch(train) [9][600/2505] lr: 2.9000e-04 eta: 1 day, 10:57:54 time: 1.3440 data_time: 0.1144 memory: 32703 grad_norm: 24.6491 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7791 loss: 1.7791 2022/07/29 18:00:10 - mmengine - INFO - Epoch(train) [9][620/2505] lr: 2.9000e-04 eta: 1 day, 10:57:52 time: 1.1658 data_time: 0.1015 memory: 32703 grad_norm: 26.9195 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5660 loss: 1.5660 2022/07/29 18:00:31 - mmengine - INFO - Epoch(train) [9][640/2505] lr: 2.9000e-04 eta: 1 day, 10:57:36 time: 1.0416 data_time: 0.0271 memory: 32703 grad_norm: 26.5015 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6717 loss: 1.6717 2022/07/29 18:00:57 - mmengine - INFO - Epoch(train) [9][660/2505] lr: 2.9000e-04 eta: 1 day, 10:57:48 time: 1.2811 data_time: 0.1351 memory: 32703 grad_norm: 26.5464 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5021 loss: 1.5021 2022/07/29 18:02:24 - mmengine - INFO - Epoch(train) [9][680/2505] lr: 2.9000e-04 eta: 1 day, 11:04:10 time: 4.3493 data_time: 0.1371 memory: 32703 grad_norm: 25.9790 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4463 loss: 1.4463 2022/07/29 18:02:36 - mmengine - INFO - Epoch(train) [9][700/2505] lr: 2.9000e-04 eta: 1 day, 11:03:01 time: 0.6063 data_time: 0.0296 memory: 32703 grad_norm: 25.8111 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.7098 loss: 1.7098 2022/07/29 18:02:59 - mmengine - INFO - Epoch(train) [9][720/2505] lr: 2.9000e-04 eta: 1 day, 11:03:00 time: 1.1750 data_time: 0.0250 memory: 32703 grad_norm: 26.0483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7300 loss: 1.7300 2022/07/29 18:03:24 - mmengine - INFO - Epoch(train) [9][740/2505] lr: 2.9000e-04 eta: 1 day, 11:03:08 time: 1.2471 data_time: 0.3121 memory: 32703 grad_norm: 25.3454 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.8094 loss: 1.8094 2022/07/29 18:03:43 - mmengine - INFO - Epoch(train) [9][760/2505] lr: 2.9000e-04 eta: 1 day, 11:02:36 time: 0.9178 data_time: 0.0783 memory: 32703 grad_norm: 25.3612 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4014 loss: 1.4014 2022/07/29 18:04:01 - mmengine - INFO - Epoch(train) [9][780/2505] lr: 2.9000e-04 eta: 1 day, 11:02:04 time: 0.9163 data_time: 0.1959 memory: 32703 grad_norm: 25.6252 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8308 loss: 1.8308 2022/07/29 18:04:21 - mmengine - INFO - Epoch(train) [9][800/2505] lr: 2.9000e-04 eta: 1 day, 11:01:42 time: 1.0006 data_time: 0.2890 memory: 32703 grad_norm: 26.8420 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6114 loss: 1.6114 2022/07/29 18:04:43 - mmengine - INFO - Epoch(train) [9][820/2505] lr: 2.9000e-04 eta: 1 day, 11:01:33 time: 1.1073 data_time: 0.1343 memory: 32703 grad_norm: 26.3477 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.6690 loss: 1.6690 2022/07/29 18:05:06 - mmengine - INFO - Epoch(train) [9][840/2505] lr: 2.9000e-04 eta: 1 day, 11:01:27 time: 1.1308 data_time: 0.0279 memory: 32703 grad_norm: 26.3374 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6487 loss: 1.6487 2022/07/29 18:05:27 - mmengine - INFO - Epoch(train) [9][860/2505] lr: 2.9000e-04 eta: 1 day, 11:01:15 time: 1.0886 data_time: 0.1235 memory: 32703 grad_norm: 24.8540 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5566 loss: 1.5566 2022/07/29 18:05:47 - mmengine - INFO - Epoch(train) [9][880/2505] lr: 2.9000e-04 eta: 1 day, 11:00:49 time: 0.9622 data_time: 0.0790 memory: 32703 grad_norm: 25.2506 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8073 loss: 1.8073 2022/07/29 18:06:06 - mmengine - INFO - Epoch(train) [9][900/2505] lr: 2.9000e-04 eta: 1 day, 11:00:24 time: 0.9693 data_time: 0.0263 memory: 32703 grad_norm: 26.6461 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8848 loss: 1.8848 2022/07/29 18:06:31 - mmengine - INFO - Epoch(train) [9][920/2505] lr: 2.9000e-04 eta: 1 day, 11:00:31 time: 1.2434 data_time: 0.2560 memory: 32703 grad_norm: 26.2633 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 2.1363 loss: 2.1363 2022/07/29 18:06:54 - mmengine - INFO - Epoch(train) [9][940/2505] lr: 2.9000e-04 eta: 1 day, 11:00:24 time: 1.1315 data_time: 0.0293 memory: 32703 grad_norm: 26.5021 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7873 loss: 1.7873 2022/07/29 18:07:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 18:07:16 - mmengine - INFO - Epoch(train) [9][960/2505] lr: 2.9000e-04 eta: 1 day, 11:00:07 time: 1.0365 data_time: 0.2369 memory: 32703 grad_norm: 26.0475 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6507 loss: 1.6507 2022/07/29 18:07:37 - mmengine - INFO - Epoch(train) [9][980/2505] lr: 2.9000e-04 eta: 1 day, 10:59:59 time: 1.1181 data_time: 0.1433 memory: 32703 grad_norm: 25.3114 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6536 loss: 1.6536 2022/07/29 18:07:55 - mmengine - INFO - Epoch(train) [9][1000/2505] lr: 2.9000e-04 eta: 1 day, 10:59:29 time: 0.9365 data_time: 0.0324 memory: 32703 grad_norm: 26.0543 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4729 loss: 1.4729 2022/07/29 18:08:16 - mmengine - INFO - Epoch(train) [9][1020/2505] lr: 2.9000e-04 eta: 1 day, 10:59:12 time: 1.0384 data_time: 0.0993 memory: 32703 grad_norm: 26.5715 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4080 loss: 1.4080 2022/07/29 18:08:34 - mmengine - INFO - Epoch(train) [9][1040/2505] lr: 2.9000e-04 eta: 1 day, 10:58:39 time: 0.9090 data_time: 0.0599 memory: 32703 grad_norm: 26.8792 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4349 loss: 1.4349 2022/07/29 18:08:53 - mmengine - INFO - Epoch(train) [9][1060/2505] lr: 2.9000e-04 eta: 1 day, 10:58:11 time: 0.9427 data_time: 0.0911 memory: 32703 grad_norm: 26.6258 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.9377 loss: 1.9377 2022/07/29 18:09:14 - mmengine - INFO - Epoch(train) [9][1080/2505] lr: 2.9000e-04 eta: 1 day, 10:57:54 time: 1.0479 data_time: 0.0907 memory: 32703 grad_norm: 26.0425 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7337 loss: 1.7337 2022/07/29 18:09:33 - mmengine - INFO - Epoch(train) [9][1100/2505] lr: 2.9000e-04 eta: 1 day, 10:57:28 time: 0.9598 data_time: 0.0266 memory: 32703 grad_norm: 25.2666 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6686 loss: 1.6686 2022/07/29 18:09:53 - mmengine - INFO - Epoch(train) [9][1120/2505] lr: 2.9000e-04 eta: 1 day, 10:57:02 time: 0.9702 data_time: 0.0342 memory: 32703 grad_norm: 26.1911 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7109 loss: 1.7109 2022/07/29 18:10:11 - mmengine - INFO - Epoch(train) [9][1140/2505] lr: 2.9000e-04 eta: 1 day, 10:56:30 time: 0.9073 data_time: 0.0314 memory: 32703 grad_norm: 26.4449 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8715 loss: 1.8715 2022/07/29 18:10:33 - mmengine - INFO - Epoch(train) [9][1160/2505] lr: 2.9000e-04 eta: 1 day, 10:56:18 time: 1.0905 data_time: 0.0294 memory: 32703 grad_norm: 26.1477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5143 loss: 1.5143 2022/07/29 18:10:55 - mmengine - INFO - Epoch(train) [9][1180/2505] lr: 2.9000e-04 eta: 1 day, 10:56:11 time: 1.1203 data_time: 0.0272 memory: 32703 grad_norm: 26.6787 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8539 loss: 1.8539 2022/07/29 18:11:14 - mmengine - INFO - Epoch(train) [9][1200/2505] lr: 2.9000e-04 eta: 1 day, 10:55:43 time: 0.9499 data_time: 0.0327 memory: 32703 grad_norm: 26.5617 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9061 loss: 1.9061 2022/07/29 18:11:33 - mmengine - INFO - Epoch(train) [9][1220/2505] lr: 2.9000e-04 eta: 1 day, 10:55:13 time: 0.9316 data_time: 0.0335 memory: 32703 grad_norm: 25.3530 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6567 loss: 1.6567 2022/07/29 18:11:55 - mmengine - INFO - Epoch(train) [9][1240/2505] lr: 2.9000e-04 eta: 1 day, 10:55:02 time: 1.0925 data_time: 0.0813 memory: 32703 grad_norm: 25.1746 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4818 loss: 1.4818 2022/07/29 18:12:14 - mmengine - INFO - Epoch(train) [9][1260/2505] lr: 2.9000e-04 eta: 1 day, 10:54:38 time: 0.9797 data_time: 0.0304 memory: 32703 grad_norm: 26.5140 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6564 loss: 1.6564 2022/07/29 18:12:31 - mmengine - INFO - Epoch(train) [9][1280/2505] lr: 2.9000e-04 eta: 1 day, 10:54:00 time: 0.8627 data_time: 0.0288 memory: 32703 grad_norm: 25.7386 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5348 loss: 1.5348 2022/07/29 18:12:51 - mmengine - INFO - Epoch(train) [9][1300/2505] lr: 2.9000e-04 eta: 1 day, 10:53:33 time: 0.9523 data_time: 0.0273 memory: 32703 grad_norm: 24.2268 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5829 loss: 1.5829 2022/07/29 18:13:12 - mmengine - INFO - Epoch(train) [9][1320/2505] lr: 2.9000e-04 eta: 1 day, 10:53:18 time: 1.0616 data_time: 0.3138 memory: 32703 grad_norm: 25.1664 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5576 loss: 1.5576 2022/07/29 18:13:30 - mmengine - INFO - Epoch(train) [9][1340/2505] lr: 2.9000e-04 eta: 1 day, 10:52:46 time: 0.9105 data_time: 0.2879 memory: 32703 grad_norm: 25.7047 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7641 loss: 1.7641 2022/07/29 18:13:50 - mmengine - INFO - Epoch(train) [9][1360/2505] lr: 2.9000e-04 eta: 1 day, 10:52:27 time: 1.0235 data_time: 0.3354 memory: 32703 grad_norm: 26.0951 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6003 loss: 1.6003 2022/07/29 18:14:08 - mmengine - INFO - Epoch(train) [9][1380/2505] lr: 2.9000e-04 eta: 1 day, 10:51:52 time: 0.8908 data_time: 0.2232 memory: 32703 grad_norm: 25.4944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6271 loss: 1.6271 2022/07/29 18:14:28 - mmengine - INFO - Epoch(train) [9][1400/2505] lr: 2.9000e-04 eta: 1 day, 10:51:27 time: 0.9707 data_time: 0.2733 memory: 32703 grad_norm: 26.4940 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.7073 loss: 1.7073 2022/07/29 18:14:48 - mmengine - INFO - Epoch(train) [9][1420/2505] lr: 2.9000e-04 eta: 1 day, 10:51:07 time: 1.0130 data_time: 0.1638 memory: 32703 grad_norm: 26.4246 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5427 loss: 1.5427 2022/07/29 18:15:08 - mmengine - INFO - Epoch(train) [9][1440/2505] lr: 2.9000e-04 eta: 1 day, 10:50:46 time: 1.0064 data_time: 0.2965 memory: 32703 grad_norm: 25.2484 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7107 loss: 1.7107 2022/07/29 18:15:27 - mmengine - INFO - Epoch(train) [9][1460/2505] lr: 2.9000e-04 eta: 1 day, 10:50:18 time: 0.9478 data_time: 0.1446 memory: 32703 grad_norm: 25.6387 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4681 loss: 1.4681 2022/07/29 18:15:46 - mmengine - INFO - Epoch(train) [9][1480/2505] lr: 2.9000e-04 eta: 1 day, 10:49:51 time: 0.9519 data_time: 0.1207 memory: 32703 grad_norm: 25.8052 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7573 loss: 1.7573 2022/07/29 18:16:05 - mmengine - INFO - Epoch(train) [9][1500/2505] lr: 2.9000e-04 eta: 1 day, 10:49:24 time: 0.9616 data_time: 0.1457 memory: 32703 grad_norm: 24.8577 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8763 loss: 1.8763 2022/07/29 18:16:26 - mmengine - INFO - Epoch(train) [9][1520/2505] lr: 2.9000e-04 eta: 1 day, 10:49:05 time: 1.0181 data_time: 0.1578 memory: 32703 grad_norm: 24.9598 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2806 loss: 1.2806 2022/07/29 18:16:54 - mmengine - INFO - Epoch(train) [9][1540/2505] lr: 2.9000e-04 eta: 1 day, 10:49:28 time: 1.3908 data_time: 0.0273 memory: 32703 grad_norm: 25.9947 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6963 loss: 1.6963 2022/07/29 18:17:10 - mmengine - INFO - Epoch(train) [9][1560/2505] lr: 2.9000e-04 eta: 1 day, 10:48:43 time: 0.7998 data_time: 0.0543 memory: 32703 grad_norm: 26.6626 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6673 loss: 1.6673 2022/07/29 18:17:30 - mmengine - INFO - Epoch(train) [9][1580/2505] lr: 2.9000e-04 eta: 1 day, 10:48:26 time: 1.0425 data_time: 0.1086 memory: 32703 grad_norm: 26.0970 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5573 loss: 1.5573 2022/07/29 18:17:48 - mmengine - INFO - Epoch(train) [9][1600/2505] lr: 2.9000e-04 eta: 1 day, 10:47:53 time: 0.9011 data_time: 0.0288 memory: 32703 grad_norm: 25.1164 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5797 loss: 1.5797 2022/07/29 18:18:08 - mmengine - INFO - Epoch(train) [9][1620/2505] lr: 2.9000e-04 eta: 1 day, 10:47:30 time: 0.9882 data_time: 0.0266 memory: 32703 grad_norm: 26.4672 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7243 loss: 1.7243 2022/07/29 18:18:27 - mmengine - INFO - Epoch(train) [9][1640/2505] lr: 2.9000e-04 eta: 1 day, 10:47:01 time: 0.9378 data_time: 0.0424 memory: 32703 grad_norm: 25.1196 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5716 loss: 1.5716 2022/07/29 18:18:48 - mmengine - INFO - Epoch(train) [9][1660/2505] lr: 2.9000e-04 eta: 1 day, 10:46:44 time: 1.0384 data_time: 0.0277 memory: 32703 grad_norm: 25.3530 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8670 loss: 1.8670 2022/07/29 18:19:07 - mmengine - INFO - Epoch(train) [9][1680/2505] lr: 2.9000e-04 eta: 1 day, 10:46:20 time: 0.9842 data_time: 0.1351 memory: 32703 grad_norm: 25.4759 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7472 loss: 1.7472 2022/07/29 18:19:27 - mmengine - INFO - Epoch(train) [9][1700/2505] lr: 2.9000e-04 eta: 1 day, 10:45:57 time: 0.9843 data_time: 0.2656 memory: 32703 grad_norm: 26.5042 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6927 loss: 1.6927 2022/07/29 18:19:46 - mmengine - INFO - Epoch(train) [9][1720/2505] lr: 2.9000e-04 eta: 1 day, 10:45:29 time: 0.9528 data_time: 0.1754 memory: 32703 grad_norm: 25.4195 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4405 loss: 1.4405 2022/07/29 18:20:07 - mmengine - INFO - Epoch(train) [9][1740/2505] lr: 2.9000e-04 eta: 1 day, 10:45:13 time: 1.0449 data_time: 0.0456 memory: 32703 grad_norm: 26.2425 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6250 loss: 1.6250 2022/07/29 18:20:26 - mmengine - INFO - Epoch(train) [9][1760/2505] lr: 2.9000e-04 eta: 1 day, 10:44:42 time: 0.9227 data_time: 0.0625 memory: 32703 grad_norm: 25.1103 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5825 loss: 1.5825 2022/07/29 18:20:45 - mmengine - INFO - Epoch(train) [9][1780/2505] lr: 2.9000e-04 eta: 1 day, 10:44:19 time: 0.9845 data_time: 0.0337 memory: 32703 grad_norm: 27.0104 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8570 loss: 1.8570 2022/07/29 18:21:04 - mmengine - INFO - Epoch(train) [9][1800/2505] lr: 2.9000e-04 eta: 1 day, 10:43:52 time: 0.9547 data_time: 0.0345 memory: 32703 grad_norm: 26.3095 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5764 loss: 1.5764 2022/07/29 18:21:24 - mmengine - INFO - Epoch(train) [9][1820/2505] lr: 2.9000e-04 eta: 1 day, 10:43:30 time: 0.9982 data_time: 0.0261 memory: 32703 grad_norm: 26.0563 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5825 loss: 1.5825 2022/07/29 18:21:44 - mmengine - INFO - Epoch(train) [9][1840/2505] lr: 2.9000e-04 eta: 1 day, 10:43:06 time: 0.9787 data_time: 0.0339 memory: 32703 grad_norm: 25.5949 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6388 loss: 1.6388 2022/07/29 18:22:03 - mmengine - INFO - Epoch(train) [9][1860/2505] lr: 2.9000e-04 eta: 1 day, 10:42:41 time: 0.9679 data_time: 0.0292 memory: 32703 grad_norm: 25.6043 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4778 loss: 1.4778 2022/07/29 18:22:24 - mmengine - INFO - Epoch(train) [9][1880/2505] lr: 2.9000e-04 eta: 1 day, 10:42:23 time: 1.0345 data_time: 0.0281 memory: 32703 grad_norm: 25.5322 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4531 loss: 1.4531 2022/07/29 18:22:43 - mmengine - INFO - Epoch(train) [9][1900/2505] lr: 2.9000e-04 eta: 1 day, 10:41:58 time: 0.9719 data_time: 0.0310 memory: 32703 grad_norm: 26.4819 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3028 loss: 1.3028 2022/07/29 18:23:04 - mmengine - INFO - Epoch(train) [9][1920/2505] lr: 2.9000e-04 eta: 1 day, 10:41:38 time: 1.0159 data_time: 0.0335 memory: 32703 grad_norm: 25.5056 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5493 loss: 1.5493 2022/07/29 18:23:23 - mmengine - INFO - Epoch(train) [9][1940/2505] lr: 2.9000e-04 eta: 1 day, 10:41:10 time: 0.9453 data_time: 0.0307 memory: 32703 grad_norm: 26.8048 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5824 loss: 1.5824 2022/07/29 18:23:44 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 18:23:44 - mmengine - INFO - Epoch(train) [9][1960/2505] lr: 2.9000e-04 eta: 1 day, 10:40:55 time: 1.0575 data_time: 0.0358 memory: 32703 grad_norm: 25.6528 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6563 loss: 1.6563 2022/07/29 18:24:01 - mmengine - INFO - Epoch(train) [9][1980/2505] lr: 2.9000e-04 eta: 1 day, 10:40:20 time: 0.8838 data_time: 0.0325 memory: 32703 grad_norm: 24.7649 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6819 loss: 1.6819 2022/07/29 18:24:22 - mmengine - INFO - Epoch(train) [9][2000/2505] lr: 2.9000e-04 eta: 1 day, 10:40:00 time: 1.0080 data_time: 0.0298 memory: 32703 grad_norm: 25.7999 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7085 loss: 1.7085 2022/07/29 18:24:40 - mmengine - INFO - Epoch(train) [9][2020/2505] lr: 2.9000e-04 eta: 1 day, 10:39:28 time: 0.9085 data_time: 0.0273 memory: 32703 grad_norm: 26.1151 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7903 loss: 1.7903 2022/07/29 18:25:01 - mmengine - INFO - Epoch(train) [9][2040/2505] lr: 2.9000e-04 eta: 1 day, 10:39:16 time: 1.0889 data_time: 0.0279 memory: 32703 grad_norm: 26.3826 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8818 loss: 1.8818 2022/07/29 18:25:21 - mmengine - INFO - Epoch(train) [9][2060/2505] lr: 2.9000e-04 eta: 1 day, 10:38:50 time: 0.9562 data_time: 0.0315 memory: 32703 grad_norm: 26.2481 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7408 loss: 1.7408 2022/07/29 18:25:42 - mmengine - INFO - Epoch(train) [9][2080/2505] lr: 2.9000e-04 eta: 1 day, 10:38:34 time: 1.0523 data_time: 0.0286 memory: 32703 grad_norm: 25.0741 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6964 loss: 1.6964 2022/07/29 18:25:59 - mmengine - INFO - Epoch(train) [9][2100/2505] lr: 2.9000e-04 eta: 1 day, 10:38:00 time: 0.8922 data_time: 0.0285 memory: 32703 grad_norm: 25.2207 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7686 loss: 1.7686 2022/07/29 18:26:19 - mmengine - INFO - Epoch(train) [9][2120/2505] lr: 2.9000e-04 eta: 1 day, 10:37:37 time: 0.9835 data_time: 0.0274 memory: 32703 grad_norm: 24.9383 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6219 loss: 1.6219 2022/07/29 18:26:38 - mmengine - INFO - Epoch(train) [9][2140/2505] lr: 2.9000e-04 eta: 1 day, 10:37:08 time: 0.9339 data_time: 0.0310 memory: 32703 grad_norm: 24.4477 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7000 loss: 1.7000 2022/07/29 18:27:00 - mmengine - INFO - Epoch(train) [9][2160/2505] lr: 2.9000e-04 eta: 1 day, 10:36:57 time: 1.1024 data_time: 0.0254 memory: 32703 grad_norm: 25.1425 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5978 loss: 1.5978 2022/07/29 18:27:21 - mmengine - INFO - Epoch(train) [9][2180/2505] lr: 2.9000e-04 eta: 1 day, 10:36:44 time: 1.0754 data_time: 0.0572 memory: 32703 grad_norm: 26.4879 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5007 loss: 1.5007 2022/07/29 18:27:42 - mmengine - INFO - Epoch(train) [9][2200/2505] lr: 2.9000e-04 eta: 1 day, 10:36:24 time: 1.0151 data_time: 0.0313 memory: 32703 grad_norm: 25.8889 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6381 loss: 1.6381 2022/07/29 18:27:59 - mmengine - INFO - Epoch(train) [9][2220/2505] lr: 2.9000e-04 eta: 1 day, 10:35:46 time: 0.8503 data_time: 0.0297 memory: 32703 grad_norm: 25.4411 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6744 loss: 1.6744 2022/07/29 18:28:22 - mmengine - INFO - Epoch(train) [9][2240/2505] lr: 2.9000e-04 eta: 1 day, 10:35:42 time: 1.1583 data_time: 0.1331 memory: 32703 grad_norm: 25.6248 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8330 loss: 1.8330 2022/07/29 18:28:39 - mmengine - INFO - Epoch(train) [9][2260/2505] lr: 2.9000e-04 eta: 1 day, 10:35:04 time: 0.8487 data_time: 0.0719 memory: 32703 grad_norm: 25.5306 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5994 loss: 1.5994 2022/07/29 18:29:00 - mmengine - INFO - Epoch(train) [9][2280/2505] lr: 2.9000e-04 eta: 1 day, 10:34:47 time: 1.0483 data_time: 0.2813 memory: 32703 grad_norm: 26.0921 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4642 loss: 1.4642 2022/07/29 18:29:19 - mmengine - INFO - Epoch(train) [9][2300/2505] lr: 2.9000e-04 eta: 1 day, 10:34:20 time: 0.9473 data_time: 0.1652 memory: 32703 grad_norm: 25.4891 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.7619 loss: 1.7619 2022/07/29 18:29:45 - mmengine - INFO - Epoch(train) [9][2320/2505] lr: 2.9000e-04 eta: 1 day, 10:34:32 time: 1.3044 data_time: 0.1574 memory: 32703 grad_norm: 25.1566 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.7070 loss: 1.7070 2022/07/29 18:30:08 - mmengine - INFO - Epoch(train) [9][2340/2505] lr: 2.9000e-04 eta: 1 day, 10:34:28 time: 1.1667 data_time: 0.0345 memory: 32703 grad_norm: 25.8383 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5833 loss: 1.5833 2022/07/29 18:30:31 - mmengine - INFO - Epoch(train) [9][2360/2505] lr: 2.9000e-04 eta: 1 day, 10:34:25 time: 1.1650 data_time: 0.1783 memory: 32703 grad_norm: 24.4196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4999 loss: 1.4999 2022/07/29 18:30:54 - mmengine - INFO - Epoch(train) [9][2380/2505] lr: 2.9000e-04 eta: 1 day, 10:34:15 time: 1.1115 data_time: 0.0859 memory: 32703 grad_norm: 25.6067 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7379 loss: 1.7379 2022/07/29 18:31:13 - mmengine - INFO - Epoch(train) [9][2400/2505] lr: 2.9000e-04 eta: 1 day, 10:33:47 time: 0.9402 data_time: 0.0997 memory: 32703 grad_norm: 25.4037 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7404 loss: 1.7404 2022/07/29 18:31:35 - mmengine - INFO - Epoch(train) [9][2420/2505] lr: 2.9000e-04 eta: 1 day, 10:33:37 time: 1.1067 data_time: 0.0450 memory: 32703 grad_norm: 25.3988 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6226 loss: 1.6226 2022/07/29 18:31:57 - mmengine - INFO - Epoch(train) [9][2440/2505] lr: 2.9000e-04 eta: 1 day, 10:33:30 time: 1.1343 data_time: 0.2560 memory: 32703 grad_norm: 25.4805 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3762 loss: 1.3762 2022/07/29 18:32:22 - mmengine - INFO - Epoch(train) [9][2460/2505] lr: 2.9000e-04 eta: 1 day, 10:33:34 time: 1.2328 data_time: 0.0429 memory: 32703 grad_norm: 27.2142 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7746 loss: 1.7746 2022/07/29 18:32:49 - mmengine - INFO - Epoch(train) [9][2480/2505] lr: 2.9000e-04 eta: 1 day, 10:33:48 time: 1.3278 data_time: 0.1359 memory: 32703 grad_norm: 26.7734 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6124 loss: 1.6124 2022/07/29 18:33:10 - mmengine - INFO - Epoch(train) [9][2500/2505] lr: 2.9000e-04 eta: 1 day, 10:33:36 time: 1.0871 data_time: 0.1462 memory: 32703 grad_norm: 25.1977 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8503 loss: 1.8503 2022/07/29 18:33:13 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 18:33:13 - mmengine - INFO - Epoch(train) [9][2505/2505] lr: 2.9000e-04 eta: 1 day, 10:33:36 time: 0.9113 data_time: 0.0164 memory: 32703 grad_norm: 25.9373 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7717 loss: 1.7717 2022/07/29 18:33:16 - mmengine - INFO - Epoch(val) [9][20/2475] eta: 0:05:17 time: 0.1294 data_time: 0.1002 memory: 817 2022/07/29 18:33:18 - mmengine - INFO - Epoch(val) [9][40/2475] eta: 0:03:49 time: 0.0943 data_time: 0.0689 memory: 817 2022/07/29 18:33:20 - mmengine - INFO - Epoch(val) [9][60/2475] eta: 0:04:08 time: 0.1029 data_time: 0.0760 memory: 817 2022/07/29 18:33:22 - mmengine - INFO - Epoch(val) [9][80/2475] eta: 0:03:38 time: 0.0911 data_time: 0.0642 memory: 817 2022/07/29 18:33:23 - mmengine - INFO - Epoch(val) [9][100/2475] eta: 0:02:26 time: 0.0616 data_time: 0.0353 memory: 817 2022/07/29 18:33:25 - mmengine - INFO - Epoch(val) [9][120/2475] eta: 0:03:36 time: 0.0919 data_time: 0.0657 memory: 817 2022/07/29 18:33:26 - mmengine - INFO - Epoch(val) [9][140/2475] eta: 0:03:27 time: 0.0890 data_time: 0.0635 memory: 817 2022/07/29 18:33:29 - mmengine - INFO - Epoch(val) [9][160/2475] eta: 0:04:44 time: 0.1228 data_time: 0.0958 memory: 817 2022/07/29 18:33:32 - mmengine - INFO - Epoch(val) [9][180/2475] eta: 0:05:41 time: 0.1490 data_time: 0.1225 memory: 817 2022/07/29 18:33:33 - mmengine - INFO - Epoch(val) [9][200/2475] eta: 0:02:55 time: 0.0772 data_time: 0.0486 memory: 817 2022/07/29 18:33:36 - mmengine - INFO - Epoch(val) [9][220/2475] eta: 0:04:36 time: 0.1228 data_time: 0.0969 memory: 817 2022/07/29 18:33:38 - mmengine - INFO - Epoch(val) [9][240/2475] eta: 0:04:25 time: 0.1187 data_time: 0.0914 memory: 817 2022/07/29 18:33:40 - mmengine - INFO - Epoch(val) [9][260/2475] eta: 0:02:39 time: 0.0719 data_time: 0.0447 memory: 817 2022/07/29 18:33:41 - mmengine - INFO - Epoch(val) [9][280/2475] eta: 0:02:45 time: 0.0755 data_time: 0.0488 memory: 817 2022/07/29 18:33:43 - mmengine - INFO - Epoch(val) [9][300/2475] eta: 0:02:25 time: 0.0670 data_time: 0.0385 memory: 817 2022/07/29 18:33:44 - mmengine - INFO - Epoch(val) [9][320/2475] eta: 0:02:55 time: 0.0815 data_time: 0.0539 memory: 817 2022/07/29 18:33:46 - mmengine - INFO - Epoch(val) [9][340/2475] eta: 0:02:21 time: 0.0662 data_time: 0.0382 memory: 817 2022/07/29 18:33:47 - mmengine - INFO - Epoch(val) [9][360/2475] eta: 0:02:56 time: 0.0836 data_time: 0.0539 memory: 817 2022/07/29 18:33:49 - mmengine - INFO - Epoch(val) [9][380/2475] eta: 0:02:33 time: 0.0734 data_time: 0.0452 memory: 817 2022/07/29 18:33:50 - mmengine - INFO - Epoch(val) [9][400/2475] eta: 0:02:50 time: 0.0820 data_time: 0.0552 memory: 817 2022/07/29 18:33:52 - mmengine - INFO - Epoch(val) [9][420/2475] eta: 0:02:57 time: 0.0862 data_time: 0.0586 memory: 817 2022/07/29 18:33:54 - mmengine - INFO - Epoch(val) [9][440/2475] eta: 0:03:12 time: 0.0947 data_time: 0.0660 memory: 817 2022/07/29 18:33:55 - mmengine - INFO - Epoch(val) [9][460/2475] eta: 0:02:19 time: 0.0693 data_time: 0.0421 memory: 817 2022/07/29 18:33:57 - mmengine - INFO - Epoch(val) [9][480/2475] eta: 0:02:56 time: 0.0885 data_time: 0.0623 memory: 817 2022/07/29 18:33:58 - mmengine - INFO - Epoch(val) [9][500/2475] eta: 0:02:00 time: 0.0608 data_time: 0.0331 memory: 817 2022/07/29 18:34:00 - mmengine - INFO - Epoch(val) [9][520/2475] eta: 0:03:24 time: 0.1049 data_time: 0.0771 memory: 817 2022/07/29 18:34:02 - mmengine - INFO - Epoch(val) [9][540/2475] eta: 0:01:49 time: 0.0566 data_time: 0.0272 memory: 817 2022/07/29 18:34:03 - mmengine - INFO - Epoch(val) [9][560/2475] eta: 0:02:49 time: 0.0887 data_time: 0.0626 memory: 817 2022/07/29 18:34:05 - mmengine - INFO - Epoch(val) [9][580/2475] eta: 0:01:52 time: 0.0591 data_time: 0.0318 memory: 817 2022/07/29 18:34:07 - mmengine - INFO - Epoch(val) [9][600/2475] eta: 0:03:11 time: 0.1020 data_time: 0.0760 memory: 817 2022/07/29 18:34:08 - mmengine - INFO - Epoch(val) [9][620/2475] eta: 0:02:43 time: 0.0879 data_time: 0.0596 memory: 817 2022/07/29 18:34:10 - mmengine - INFO - Epoch(val) [9][640/2475] eta: 0:02:43 time: 0.0892 data_time: 0.0611 memory: 817 2022/07/29 18:34:12 - mmengine - INFO - Epoch(val) [9][660/2475] eta: 0:02:33 time: 0.0844 data_time: 0.0301 memory: 817 2022/07/29 18:34:13 - mmengine - INFO - Epoch(val) [9][680/2475] eta: 0:02:08 time: 0.0718 data_time: 0.0446 memory: 817 2022/07/29 18:34:15 - mmengine - INFO - Epoch(val) [9][700/2475] eta: 0:02:49 time: 0.0955 data_time: 0.0678 memory: 817 2022/07/29 18:34:17 - mmengine - INFO - Epoch(val) [9][720/2475] eta: 0:03:22 time: 0.1153 data_time: 0.0883 memory: 817 2022/07/29 18:34:19 - mmengine - INFO - Epoch(val) [9][740/2475] eta: 0:01:46 time: 0.0614 data_time: 0.0347 memory: 817 2022/07/29 18:34:21 - mmengine - INFO - Epoch(val) [9][760/2475] eta: 0:03:11 time: 0.1117 data_time: 0.0850 memory: 817 2022/07/29 18:34:22 - mmengine - INFO - Epoch(val) [9][780/2475] eta: 0:01:41 time: 0.0599 data_time: 0.0278 memory: 817 2022/07/29 18:34:24 - mmengine - INFO - Epoch(val) [9][800/2475] eta: 0:03:02 time: 0.1089 data_time: 0.0818 memory: 817 2022/07/29 18:34:25 - mmengine - INFO - Epoch(val) [9][820/2475] eta: 0:01:30 time: 0.0547 data_time: 0.0275 memory: 817 2022/07/29 18:34:27 - mmengine - INFO - Epoch(val) [9][840/2475] eta: 0:02:39 time: 0.0977 data_time: 0.0719 memory: 817 2022/07/29 18:34:29 - mmengine - INFO - Epoch(val) [9][860/2475] eta: 0:01:52 time: 0.0697 data_time: 0.0420 memory: 817 2022/07/29 18:34:30 - mmengine - INFO - Epoch(val) [9][880/2475] eta: 0:02:10 time: 0.0821 data_time: 0.0552 memory: 817 2022/07/29 18:34:32 - mmengine - INFO - Epoch(val) [9][900/2475] eta: 0:02:02 time: 0.0781 data_time: 0.0346 memory: 817 2022/07/29 18:34:33 - mmengine - INFO - Epoch(val) [9][920/2475] eta: 0:01:43 time: 0.0665 data_time: 0.0381 memory: 817 2022/07/29 18:34:36 - mmengine - INFO - Epoch(val) [9][940/2475] eta: 0:02:53 time: 0.1132 data_time: 0.0861 memory: 817 2022/07/29 18:34:39 - mmengine - INFO - Epoch(val) [9][960/2475] eta: 0:04:08 time: 0.1643 data_time: 0.1380 memory: 817 2022/07/29 18:34:40 - mmengine - INFO - Epoch(val) [9][980/2475] eta: 0:01:48 time: 0.0726 data_time: 0.0459 memory: 817 2022/07/29 18:34:42 - mmengine - INFO - Epoch(val) [9][1000/2475] eta: 0:01:59 time: 0.0807 data_time: 0.0541 memory: 817 2022/07/29 18:34:44 - mmengine - INFO - Epoch(val) [9][1020/2475] eta: 0:02:02 time: 0.0841 data_time: 0.0583 memory: 817 2022/07/29 18:34:46 - mmengine - INFO - Epoch(val) [9][1040/2475] eta: 0:02:52 time: 0.1205 data_time: 0.0917 memory: 817 2022/07/29 18:34:47 - mmengine - INFO - Epoch(val) [9][1060/2475] eta: 0:01:36 time: 0.0682 data_time: 0.0387 memory: 817 2022/07/29 18:34:49 - mmengine - INFO - Epoch(val) [9][1080/2475] eta: 0:02:12 time: 0.0949 data_time: 0.0692 memory: 817 2022/07/29 18:34:51 - mmengine - INFO - Epoch(val) [9][1100/2475] eta: 0:01:49 time: 0.0795 data_time: 0.0441 memory: 817 2022/07/29 18:34:52 - mmengine - INFO - Epoch(val) [9][1120/2475] eta: 0:01:35 time: 0.0707 data_time: 0.0428 memory: 817 2022/07/29 18:34:54 - mmengine - INFO - Epoch(val) [9][1140/2475] eta: 0:01:52 time: 0.0841 data_time: 0.0554 memory: 817 2022/07/29 18:34:55 - mmengine - INFO - Epoch(val) [9][1160/2475] eta: 0:01:27 time: 0.0662 data_time: 0.0375 memory: 817 2022/07/29 18:34:57 - mmengine - INFO - Epoch(val) [9][1180/2475] eta: 0:01:37 time: 0.0756 data_time: 0.0493 memory: 817 2022/07/29 18:34:59 - mmengine - INFO - Epoch(val) [9][1200/2475] eta: 0:01:52 time: 0.0886 data_time: 0.0624 memory: 817 2022/07/29 18:35:01 - mmengine - INFO - Epoch(val) [9][1220/2475] eta: 0:02:24 time: 0.1153 data_time: 0.0833 memory: 817 2022/07/29 18:35:02 - mmengine - INFO - Epoch(val) [9][1240/2475] eta: 0:01:21 time: 0.0656 data_time: 0.0375 memory: 817 2022/07/29 18:35:03 - mmengine - INFO - Epoch(val) [9][1260/2475] eta: 0:00:55 time: 0.0459 data_time: 0.0191 memory: 817 2022/07/29 18:35:05 - mmengine - INFO - Epoch(val) [9][1280/2475] eta: 0:02:12 time: 0.1108 data_time: 0.0818 memory: 817 2022/07/29 18:35:07 - mmengine - INFO - Epoch(val) [9][1300/2475] eta: 0:01:52 time: 0.0959 data_time: 0.0694 memory: 817 2022/07/29 18:35:08 - mmengine - INFO - Epoch(val) [9][1320/2475] eta: 0:01:08 time: 0.0594 data_time: 0.0328 memory: 817 2022/07/29 18:35:10 - mmengine - INFO - Epoch(val) [9][1340/2475] eta: 0:01:32 time: 0.0817 data_time: 0.0562 memory: 817 2022/07/29 18:35:13 - mmengine - INFO - Epoch(val) [9][1360/2475] eta: 0:02:20 time: 0.1262 data_time: 0.0976 memory: 817 2022/07/29 18:35:14 - mmengine - INFO - Epoch(val) [9][1380/2475] eta: 0:01:10 time: 0.0641 data_time: 0.0369 memory: 817 2022/07/29 18:35:15 - mmengine - INFO - Epoch(val) [9][1400/2475] eta: 0:01:24 time: 0.0784 data_time: 0.0521 memory: 817 2022/07/29 18:35:17 - mmengine - INFO - Epoch(val) [9][1420/2475] eta: 0:01:15 time: 0.0714 data_time: 0.0444 memory: 817 2022/07/29 18:35:18 - mmengine - INFO - Epoch(val) [9][1440/2475] eta: 0:01:22 time: 0.0798 data_time: 0.0526 memory: 817 2022/07/29 18:35:20 - mmengine - INFO - Epoch(val) [9][1460/2475] eta: 0:01:18 time: 0.0775 data_time: 0.0507 memory: 817 2022/07/29 18:35:22 - mmengine - INFO - Epoch(val) [9][1480/2475] eta: 0:01:57 time: 0.1179 data_time: 0.0737 memory: 817 2022/07/29 18:35:24 - mmengine - INFO - Epoch(val) [9][1500/2475] eta: 0:00:59 time: 0.0608 data_time: 0.0329 memory: 817 2022/07/29 18:35:25 - mmengine - INFO - Epoch(val) [9][1520/2475] eta: 0:01:14 time: 0.0779 data_time: 0.0497 memory: 817 2022/07/29 18:35:27 - mmengine - INFO - Epoch(val) [9][1540/2475] eta: 0:01:12 time: 0.0779 data_time: 0.0484 memory: 817 2022/07/29 18:35:29 - mmengine - INFO - Epoch(val) [9][1560/2475] eta: 0:01:26 time: 0.0947 data_time: 0.0683 memory: 817 2022/07/29 18:35:30 - mmengine - INFO - Epoch(val) [9][1580/2475] eta: 0:01:07 time: 0.0750 data_time: 0.0464 memory: 817 2022/07/29 18:35:32 - mmengine - INFO - Epoch(val) [9][1600/2475] eta: 0:01:17 time: 0.0885 data_time: 0.0579 memory: 817 2022/07/29 18:35:33 - mmengine - INFO - Epoch(val) [9][1620/2475] eta: 0:01:05 time: 0.0762 data_time: 0.0494 memory: 817 2022/07/29 18:35:35 - mmengine - INFO - Epoch(val) [9][1640/2475] eta: 0:01:23 time: 0.1005 data_time: 0.0716 memory: 817 2022/07/29 18:35:37 - mmengine - INFO - Epoch(val) [9][1660/2475] eta: 0:00:57 time: 0.0701 data_time: 0.0428 memory: 817 2022/07/29 18:35:38 - mmengine - INFO - Epoch(val) [9][1680/2475] eta: 0:01:02 time: 0.0786 data_time: 0.0509 memory: 817 2022/07/29 18:35:40 - mmengine - INFO - Epoch(val) [9][1700/2475] eta: 0:01:07 time: 0.0865 data_time: 0.0598 memory: 817 2022/07/29 18:35:42 - mmengine - INFO - Epoch(val) [9][1720/2475] eta: 0:00:56 time: 0.0750 data_time: 0.0357 memory: 817 2022/07/29 18:35:43 - mmengine - INFO - Epoch(val) [9][1740/2475] eta: 0:00:42 time: 0.0584 data_time: 0.0299 memory: 817 2022/07/29 18:35:45 - mmengine - INFO - Epoch(val) [9][1760/2475] eta: 0:01:06 time: 0.0932 data_time: 0.0660 memory: 817 2022/07/29 18:35:46 - mmengine - INFO - Epoch(val) [9][1780/2475] eta: 0:00:48 time: 0.0698 data_time: 0.0428 memory: 817 2022/07/29 18:35:48 - mmengine - INFO - Epoch(val) [9][1800/2475] eta: 0:01:08 time: 0.1021 data_time: 0.0740 memory: 817 2022/07/29 18:35:49 - mmengine - INFO - Epoch(val) [9][1820/2475] eta: 0:00:43 time: 0.0657 data_time: 0.0384 memory: 817 2022/07/29 18:35:51 - mmengine - INFO - Epoch(val) [9][1840/2475] eta: 0:01:04 time: 0.1018 data_time: 0.0747 memory: 817 2022/07/29 18:35:53 - mmengine - INFO - Epoch(val) [9][1860/2475] eta: 0:00:42 time: 0.0697 data_time: 0.0429 memory: 817 2022/07/29 18:35:55 - mmengine - INFO - Epoch(val) [9][1880/2475] eta: 0:00:53 time: 0.0897 data_time: 0.0631 memory: 817 2022/07/29 18:35:56 - mmengine - INFO - Epoch(val) [9][1900/2475] eta: 0:00:43 time: 0.0759 data_time: 0.0489 memory: 817 2022/07/29 18:35:58 - mmengine - INFO - Epoch(val) [9][1920/2475] eta: 0:00:39 time: 0.0719 data_time: 0.0456 memory: 817 2022/07/29 18:35:59 - mmengine - INFO - Epoch(val) [9][1940/2475] eta: 0:00:36 time: 0.0678 data_time: 0.0384 memory: 817 2022/07/29 18:36:01 - mmengine - INFO - Epoch(val) [9][1960/2475] eta: 0:00:42 time: 0.0832 data_time: 0.0553 memory: 817 2022/07/29 18:36:02 - mmengine - INFO - Epoch(val) [9][1980/2475] eta: 0:00:36 time: 0.0744 data_time: 0.0099 memory: 817 2022/07/29 18:36:04 - mmengine - INFO - Epoch(val) [9][2000/2475] eta: 0:00:42 time: 0.0885 data_time: 0.0593 memory: 817 2022/07/29 18:36:05 - mmengine - INFO - Epoch(val) [9][2020/2475] eta: 0:00:34 time: 0.0756 data_time: 0.0488 memory: 817 2022/07/29 18:36:07 - mmengine - INFO - Epoch(val) [9][2040/2475] eta: 0:00:44 time: 0.1019 data_time: 0.0738 memory: 817 2022/07/29 18:36:09 - mmengine - INFO - Epoch(val) [9][2060/2475] eta: 0:00:23 time: 0.0569 data_time: 0.0291 memory: 817 2022/07/29 18:36:10 - mmengine - INFO - Epoch(val) [9][2080/2475] eta: 0:00:34 time: 0.0865 data_time: 0.0600 memory: 817 2022/07/29 18:36:12 - mmengine - INFO - Epoch(val) [9][2100/2475] eta: 0:00:29 time: 0.0786 data_time: 0.0460 memory: 817 2022/07/29 18:36:13 - mmengine - INFO - Epoch(val) [9][2120/2475] eta: 0:00:22 time: 0.0647 data_time: 0.0380 memory: 817 2022/07/29 18:36:15 - mmengine - INFO - Epoch(val) [9][2140/2475] eta: 0:00:36 time: 0.1094 data_time: 0.0817 memory: 817 2022/07/29 18:36:17 - mmengine - INFO - Epoch(val) [9][2160/2475] eta: 0:00:31 time: 0.1007 data_time: 0.0728 memory: 817 2022/07/29 18:36:19 - mmengine - INFO - Epoch(val) [9][2180/2475] eta: 0:00:18 time: 0.0613 data_time: 0.0351 memory: 817 2022/07/29 18:36:20 - mmengine - INFO - Epoch(val) [9][2200/2475] eta: 0:00:23 time: 0.0857 data_time: 0.0568 memory: 817 2022/07/29 18:36:22 - mmengine - INFO - Epoch(val) [9][2220/2475] eta: 0:00:19 time: 0.0763 data_time: 0.0378 memory: 817 2022/07/29 18:36:24 - mmengine - INFO - Epoch(val) [9][2240/2475] eta: 0:00:22 time: 0.0936 data_time: 0.0669 memory: 817 2022/07/29 18:36:26 - mmengine - INFO - Epoch(val) [9][2260/2475] eta: 0:00:21 time: 0.0986 data_time: 0.0711 memory: 817 2022/07/29 18:36:27 - mmengine - INFO - Epoch(val) [9][2280/2475] eta: 0:00:12 time: 0.0639 data_time: 0.0379 memory: 817 2022/07/29 18:36:29 - mmengine - INFO - Epoch(val) [9][2300/2475] eta: 0:00:15 time: 0.0897 data_time: 0.0638 memory: 817 2022/07/29 18:36:30 - mmengine - INFO - Epoch(val) [9][2320/2475] eta: 0:00:11 time: 0.0742 data_time: 0.0471 memory: 817 2022/07/29 18:36:32 - mmengine - INFO - Epoch(val) [9][2340/2475] eta: 0:00:10 time: 0.0806 data_time: 0.0469 memory: 817 2022/07/29 18:36:34 - mmengine - INFO - Epoch(val) [9][2360/2475] eta: 0:00:10 time: 0.0877 data_time: 0.0611 memory: 817 2022/07/29 18:36:35 - mmengine - INFO - Epoch(val) [9][2380/2475] eta: 0:00:06 time: 0.0669 data_time: 0.0408 memory: 817 2022/07/29 18:36:37 - mmengine - INFO - Epoch(val) [9][2400/2475] eta: 0:00:05 time: 0.0766 data_time: 0.0505 memory: 817 2022/07/29 18:36:38 - mmengine - INFO - Epoch(val) [9][2420/2475] eta: 0:00:04 time: 0.0756 data_time: 0.0481 memory: 817 2022/07/29 18:36:40 - mmengine - INFO - Epoch(val) [9][2440/2475] eta: 0:00:03 time: 0.0900 data_time: 0.0630 memory: 817 2022/07/29 18:36:42 - mmengine - INFO - Epoch(val) [9][2460/2475] eta: 0:00:01 time: 0.1002 data_time: 0.0691 memory: 817 2022/07/29 18:36:45 - mmengine - INFO - Epoch(val) [9][2475/2475] acc/top1: 0.6870 acc/top5: 0.8803 acc/mean1: 0.6869 2022/07/29 18:37:16 - mmengine - INFO - Epoch(train) [10][20/2505] lr: 3.2000e-04 eta: 1 day, 10:33:37 time: 1.5119 data_time: 0.6844 memory: 32703 grad_norm: 24.8394 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6228 loss: 1.6228 2022/07/29 18:37:39 - mmengine - INFO - Epoch(train) [10][40/2505] lr: 3.2000e-04 eta: 1 day, 10:33:32 time: 1.1582 data_time: 0.0996 memory: 32703 grad_norm: 25.7565 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7658 loss: 1.7658 2022/07/29 18:37:57 - mmengine - INFO - Epoch(train) [10][60/2505] lr: 3.2000e-04 eta: 1 day, 10:32:59 time: 0.8959 data_time: 0.0331 memory: 32703 grad_norm: 26.4672 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5711 loss: 1.5711 2022/07/29 18:38:14 - mmengine - INFO - Epoch(train) [10][80/2505] lr: 3.2000e-04 eta: 1 day, 10:32:26 time: 0.8892 data_time: 0.0266 memory: 32703 grad_norm: 25.1545 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8557 loss: 1.8557 2022/07/29 18:38:35 - mmengine - INFO - Epoch(train) [10][100/2505] lr: 3.2000e-04 eta: 1 day, 10:32:10 time: 1.0537 data_time: 0.0452 memory: 32703 grad_norm: 25.9579 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4406 loss: 1.4406 2022/07/29 18:38:53 - mmengine - INFO - Epoch(train) [10][120/2505] lr: 3.2000e-04 eta: 1 day, 10:31:37 time: 0.8952 data_time: 0.1771 memory: 32703 grad_norm: 25.4699 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.8809 loss: 1.8809 2022/07/29 18:39:14 - mmengine - INFO - Epoch(train) [10][140/2505] lr: 3.2000e-04 eta: 1 day, 10:31:17 time: 1.0172 data_time: 0.0728 memory: 32703 grad_norm: 25.4997 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7668 loss: 1.7668 2022/07/29 18:39:33 - mmengine - INFO - Epoch(train) [10][160/2505] lr: 3.2000e-04 eta: 1 day, 10:30:52 time: 0.9773 data_time: 0.1928 memory: 32703 grad_norm: 24.2139 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8398 loss: 1.8398 2022/07/29 18:39:53 - mmengine - INFO - Epoch(train) [10][180/2505] lr: 3.2000e-04 eta: 1 day, 10:30:27 time: 0.9647 data_time: 0.0713 memory: 32703 grad_norm: 25.7185 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7495 loss: 1.7495 2022/07/29 18:40:14 - mmengine - INFO - Epoch(train) [10][200/2505] lr: 3.2000e-04 eta: 1 day, 10:30:10 time: 1.0472 data_time: 0.0280 memory: 32703 grad_norm: 25.2646 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6762 loss: 1.6762 2022/07/29 18:40:33 - mmengine - INFO - Epoch(train) [10][220/2505] lr: 3.2000e-04 eta: 1 day, 10:29:44 time: 0.9602 data_time: 0.0299 memory: 32703 grad_norm: 25.7787 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6160 loss: 1.6160 2022/07/29 18:40:53 - mmengine - INFO - Epoch(train) [10][240/2505] lr: 3.2000e-04 eta: 1 day, 10:29:23 time: 1.0023 data_time: 0.0351 memory: 32703 grad_norm: 27.0769 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6942 loss: 1.6942 2022/07/29 18:41:12 - mmengine - INFO - Epoch(train) [10][260/2505] lr: 3.2000e-04 eta: 1 day, 10:28:59 time: 0.9835 data_time: 0.0770 memory: 32703 grad_norm: 25.9299 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6387 loss: 1.6387 2022/07/29 18:41:32 - mmengine - INFO - Epoch(train) [10][280/2505] lr: 3.2000e-04 eta: 1 day, 10:28:34 time: 0.9712 data_time: 0.0535 memory: 32703 grad_norm: 25.4510 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5272 loss: 1.5272 2022/07/29 18:41:51 - mmengine - INFO - Epoch(train) [10][300/2505] lr: 3.2000e-04 eta: 1 day, 10:28:10 time: 0.9738 data_time: 0.0476 memory: 32703 grad_norm: 25.2895 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5419 loss: 1.5419 2022/07/29 18:42:12 - mmengine - INFO - Epoch(train) [10][320/2505] lr: 3.2000e-04 eta: 1 day, 10:27:49 time: 1.0103 data_time: 0.0250 memory: 32703 grad_norm: 25.2204 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6664 loss: 1.6664 2022/07/29 18:42:30 - mmengine - INFO - Epoch(train) [10][340/2505] lr: 3.2000e-04 eta: 1 day, 10:27:21 time: 0.9417 data_time: 0.0286 memory: 32703 grad_norm: 26.7504 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5193 loss: 1.5193 2022/07/29 18:42:51 - mmengine - INFO - Epoch(train) [10][360/2505] lr: 3.2000e-04 eta: 1 day, 10:27:01 time: 1.0095 data_time: 0.0256 memory: 32703 grad_norm: 25.0077 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.6075 loss: 1.6075 2022/07/29 18:43:13 - mmengine - INFO - Epoch(train) [10][380/2505] lr: 3.2000e-04 eta: 1 day, 10:26:49 time: 1.0929 data_time: 0.0841 memory: 32703 grad_norm: 25.8981 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7964 loss: 1.7964 2022/07/29 18:43:30 - mmengine - INFO - Epoch(train) [10][400/2505] lr: 3.2000e-04 eta: 1 day, 10:26:14 time: 0.8748 data_time: 0.0340 memory: 32703 grad_norm: 26.6078 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5506 loss: 1.5506 2022/07/29 18:43:51 - mmengine - INFO - Epoch(train) [10][420/2505] lr: 3.2000e-04 eta: 1 day, 10:25:57 time: 1.0479 data_time: 0.0644 memory: 32703 grad_norm: 25.2966 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6885 loss: 1.6885 2022/07/29 18:44:09 - mmengine - INFO - Epoch(train) [10][440/2505] lr: 3.2000e-04 eta: 1 day, 10:25:26 time: 0.9102 data_time: 0.1108 memory: 32703 grad_norm: 24.8215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6135 loss: 1.6135 2022/07/29 18:44:27 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 18:44:37 - mmengine - INFO - Epoch(train) [10][460/2505] lr: 3.2000e-04 eta: 1 day, 10:25:45 time: 1.3810 data_time: 0.5574 memory: 32703 grad_norm: 25.8464 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7375 loss: 1.7375 2022/07/29 18:44:51 - mmengine - INFO - Epoch(train) [10][480/2505] lr: 3.2000e-04 eta: 1 day, 10:24:55 time: 0.7305 data_time: 0.1218 memory: 32703 grad_norm: 24.5236 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6257 loss: 1.6257 2022/07/29 18:45:14 - mmengine - INFO - Epoch(train) [10][500/2505] lr: 3.2000e-04 eta: 1 day, 10:24:46 time: 1.1250 data_time: 0.4440 memory: 32703 grad_norm: 24.9907 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5683 loss: 1.5683 2022/07/29 18:45:36 - mmengine - INFO - Epoch(train) [10][520/2505] lr: 3.2000e-04 eta: 1 day, 10:24:34 time: 1.0916 data_time: 0.2850 memory: 32703 grad_norm: 24.4412 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3930 loss: 1.3930 2022/07/29 18:45:56 - mmengine - INFO - Epoch(train) [10][540/2505] lr: 3.2000e-04 eta: 1 day, 10:24:15 time: 1.0252 data_time: 0.4190 memory: 32703 grad_norm: 25.6808 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6203 loss: 1.6203 2022/07/29 18:46:14 - mmengine - INFO - Epoch(train) [10][560/2505] lr: 3.2000e-04 eta: 1 day, 10:23:39 time: 0.8656 data_time: 0.2560 memory: 32703 grad_norm: 25.0538 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6990 loss: 1.6990 2022/07/29 18:46:36 - mmengine - INFO - Epoch(train) [10][580/2505] lr: 3.2000e-04 eta: 1 day, 10:23:29 time: 1.1115 data_time: 0.5197 memory: 32703 grad_norm: 25.5821 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5968 loss: 1.5968 2022/07/29 18:46:54 - mmengine - INFO - Epoch(train) [10][600/2505] lr: 3.2000e-04 eta: 1 day, 10:22:59 time: 0.9176 data_time: 0.3081 memory: 32703 grad_norm: 25.4802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6289 loss: 1.6289 2022/07/29 18:47:15 - mmengine - INFO - Epoch(train) [10][620/2505] lr: 3.2000e-04 eta: 1 day, 10:22:43 time: 1.0526 data_time: 0.4625 memory: 32703 grad_norm: 25.3550 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7234 loss: 1.7234 2022/07/29 18:47:36 - mmengine - INFO - Epoch(train) [10][640/2505] lr: 3.2000e-04 eta: 1 day, 10:22:28 time: 1.0679 data_time: 0.1134 memory: 32703 grad_norm: 25.7171 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4591 loss: 1.4591 2022/07/29 18:47:55 - mmengine - INFO - Epoch(train) [10][660/2505] lr: 3.2000e-04 eta: 1 day, 10:21:59 time: 0.9295 data_time: 0.0273 memory: 32703 grad_norm: 25.0550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6265 loss: 1.6265 2022/07/29 18:48:15 - mmengine - INFO - Epoch(train) [10][680/2505] lr: 3.2000e-04 eta: 1 day, 10:21:37 time: 0.9980 data_time: 0.0343 memory: 32703 grad_norm: 26.5382 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7367 loss: 1.7367 2022/07/29 18:48:33 - mmengine - INFO - Epoch(train) [10][700/2505] lr: 3.2000e-04 eta: 1 day, 10:21:03 time: 0.8837 data_time: 0.0339 memory: 32703 grad_norm: 25.1394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9127 loss: 1.9127 2022/07/29 18:48:59 - mmengine - INFO - Epoch(train) [10][720/2505] lr: 3.2000e-04 eta: 1 day, 10:21:16 time: 1.3253 data_time: 0.0284 memory: 32703 grad_norm: 26.0056 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5535 loss: 1.5535 2022/07/29 18:49:11 - mmengine - INFO - Epoch(train) [10][740/2505] lr: 3.2000e-04 eta: 1 day, 10:20:13 time: 0.6075 data_time: 0.0290 memory: 32703 grad_norm: 25.3319 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8304 loss: 1.8304 2022/07/29 18:49:30 - mmengine - INFO - Epoch(train) [10][760/2505] lr: 3.2000e-04 eta: 1 day, 10:19:46 time: 0.9470 data_time: 0.0288 memory: 32703 grad_norm: 24.4637 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7909 loss: 1.7909 2022/07/29 18:49:50 - mmengine - INFO - Epoch(train) [10][780/2505] lr: 3.2000e-04 eta: 1 day, 10:19:24 time: 0.9963 data_time: 0.0955 memory: 32703 grad_norm: 25.2849 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8202 loss: 1.8202 2022/07/29 18:50:10 - mmengine - INFO - Epoch(train) [10][800/2505] lr: 3.2000e-04 eta: 1 day, 10:18:59 time: 0.9647 data_time: 0.0332 memory: 32703 grad_norm: 25.3464 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6756 loss: 1.6756 2022/07/29 18:50:34 - mmengine - INFO - Epoch(train) [10][820/2505] lr: 3.2000e-04 eta: 1 day, 10:18:58 time: 1.2038 data_time: 0.0802 memory: 32703 grad_norm: 25.0245 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6413 loss: 1.6413 2022/07/29 18:50:51 - mmengine - INFO - Epoch(train) [10][840/2505] lr: 3.2000e-04 eta: 1 day, 10:18:22 time: 0.8603 data_time: 0.0293 memory: 32703 grad_norm: 24.1861 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7498 loss: 1.7498 2022/07/29 18:51:12 - mmengine - INFO - Epoch(train) [10][860/2505] lr: 3.2000e-04 eta: 1 day, 10:18:05 time: 1.0443 data_time: 0.0276 memory: 32703 grad_norm: 24.4800 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6137 loss: 1.6137 2022/07/29 18:51:30 - mmengine - INFO - Epoch(train) [10][880/2505] lr: 3.2000e-04 eta: 1 day, 10:17:36 time: 0.9330 data_time: 0.0267 memory: 32703 grad_norm: 25.8076 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4815 loss: 1.4815 2022/07/29 18:51:53 - mmengine - INFO - Epoch(train) [10][900/2505] lr: 3.2000e-04 eta: 1 day, 10:17:26 time: 1.1126 data_time: 0.0308 memory: 32703 grad_norm: 24.0701 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4355 loss: 1.4355 2022/07/29 18:52:10 - mmengine - INFO - Epoch(train) [10][920/2505] lr: 3.2000e-04 eta: 1 day, 10:16:51 time: 0.8668 data_time: 0.0285 memory: 32703 grad_norm: 24.5439 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 2.0049 loss: 2.0049 2022/07/29 18:52:33 - mmengine - INFO - Epoch(train) [10][940/2505] lr: 3.2000e-04 eta: 1 day, 10:16:42 time: 1.1190 data_time: 0.0308 memory: 32703 grad_norm: 25.2444 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5621 loss: 1.5621 2022/07/29 18:52:51 - mmengine - INFO - Epoch(train) [10][960/2505] lr: 3.2000e-04 eta: 1 day, 10:16:11 time: 0.9161 data_time: 0.0415 memory: 32703 grad_norm: 24.1815 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7807 loss: 1.7807 2022/07/29 18:53:10 - mmengine - INFO - Epoch(train) [10][980/2505] lr: 3.2000e-04 eta: 1 day, 10:15:47 time: 0.9733 data_time: 0.0285 memory: 32703 grad_norm: 24.9152 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6897 loss: 1.6897 2022/07/29 18:53:29 - mmengine - INFO - Epoch(train) [10][1000/2505] lr: 3.2000e-04 eta: 1 day, 10:15:18 time: 0.9248 data_time: 0.1875 memory: 32703 grad_norm: 25.7746 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6375 loss: 1.6375 2022/07/29 18:53:51 - mmengine - INFO - Epoch(train) [10][1020/2505] lr: 3.2000e-04 eta: 1 day, 10:15:05 time: 1.0914 data_time: 0.1934 memory: 32703 grad_norm: 24.6936 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7564 loss: 1.7564 2022/07/29 18:54:09 - mmengine - INFO - Epoch(train) [10][1040/2505] lr: 3.2000e-04 eta: 1 day, 10:14:36 time: 0.9239 data_time: 0.0685 memory: 32703 grad_norm: 23.5448 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6320 loss: 1.6320 2022/07/29 18:54:30 - mmengine - INFO - Epoch(train) [10][1060/2505] lr: 3.2000e-04 eta: 1 day, 10:14:21 time: 1.0621 data_time: 0.0970 memory: 32703 grad_norm: 24.8097 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4413 loss: 1.4413 2022/07/29 18:54:48 - mmengine - INFO - Epoch(train) [10][1080/2505] lr: 3.2000e-04 eta: 1 day, 10:13:46 time: 0.8751 data_time: 0.1184 memory: 32703 grad_norm: 26.4569 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8754 loss: 1.8754 2022/07/29 18:55:09 - mmengine - INFO - Epoch(train) [10][1100/2505] lr: 3.2000e-04 eta: 1 day, 10:13:30 time: 1.0516 data_time: 0.2836 memory: 32703 grad_norm: 24.9455 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7410 loss: 1.7410 2022/07/29 18:55:27 - mmengine - INFO - Epoch(train) [10][1120/2505] lr: 3.2000e-04 eta: 1 day, 10:13:02 time: 0.9323 data_time: 0.1809 memory: 32703 grad_norm: 25.4782 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7347 loss: 1.7347 2022/07/29 18:55:48 - mmengine - INFO - Epoch(train) [10][1140/2505] lr: 3.2000e-04 eta: 1 day, 10:12:44 time: 1.0358 data_time: 0.2283 memory: 32703 grad_norm: 25.6120 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 1.5761 loss: 1.5761 2022/07/29 18:56:07 - mmengine - INFO - Epoch(train) [10][1160/2505] lr: 3.2000e-04 eta: 1 day, 10:12:15 time: 0.9277 data_time: 0.1577 memory: 32703 grad_norm: 26.1004 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8146 loss: 1.8146 2022/07/29 18:56:28 - mmengine - INFO - Epoch(train) [10][1180/2505] lr: 3.2000e-04 eta: 1 day, 10:12:02 time: 1.0862 data_time: 0.0802 memory: 32703 grad_norm: 24.3501 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8112 loss: 1.8112 2022/07/29 18:56:47 - mmengine - INFO - Epoch(train) [10][1200/2505] lr: 3.2000e-04 eta: 1 day, 10:11:32 time: 0.9187 data_time: 0.1249 memory: 32703 grad_norm: 24.7891 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6373 loss: 1.6373 2022/07/29 18:57:06 - mmengine - INFO - Epoch(train) [10][1220/2505] lr: 3.2000e-04 eta: 1 day, 10:11:08 time: 0.9716 data_time: 0.1116 memory: 32703 grad_norm: 25.0972 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.9905 loss: 1.9905 2022/07/29 18:57:27 - mmengine - INFO - Epoch(train) [10][1240/2505] lr: 3.2000e-04 eta: 1 day, 10:10:50 time: 1.0395 data_time: 0.0260 memory: 32703 grad_norm: 26.4745 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3616 loss: 1.3616 2022/07/29 18:57:47 - mmengine - INFO - Epoch(train) [10][1260/2505] lr: 3.2000e-04 eta: 1 day, 10:10:29 time: 1.0072 data_time: 0.0460 memory: 32703 grad_norm: 26.2559 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7326 loss: 1.7326 2022/07/29 18:58:09 - mmengine - INFO - Epoch(train) [10][1280/2505] lr: 3.2000e-04 eta: 1 day, 10:10:17 time: 1.0931 data_time: 0.0314 memory: 32703 grad_norm: 25.0480 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6754 loss: 1.6754 2022/07/29 18:58:27 - mmengine - INFO - Epoch(train) [10][1300/2505] lr: 3.2000e-04 eta: 1 day, 10:09:43 time: 0.8776 data_time: 0.1720 memory: 32703 grad_norm: 26.0714 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6727 loss: 1.6727 2022/07/29 18:58:49 - mmengine - INFO - Epoch(train) [10][1320/2505] lr: 3.2000e-04 eta: 1 day, 10:09:35 time: 1.1360 data_time: 0.0279 memory: 32703 grad_norm: 24.9281 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6520 loss: 1.6520 2022/07/29 18:59:08 - mmengine - INFO - Epoch(train) [10][1340/2505] lr: 3.2000e-04 eta: 1 day, 10:09:06 time: 0.9225 data_time: 0.0295 memory: 32703 grad_norm: 24.5277 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7352 loss: 1.7352 2022/07/29 18:59:27 - mmengine - INFO - Epoch(train) [10][1360/2505] lr: 3.2000e-04 eta: 1 day, 10:08:43 time: 0.9832 data_time: 0.0312 memory: 32703 grad_norm: 24.4732 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6743 loss: 1.6743 2022/07/29 18:59:46 - mmengine - INFO - Epoch(train) [10][1380/2505] lr: 3.2000e-04 eta: 1 day, 10:08:16 time: 0.9437 data_time: 0.0272 memory: 32703 grad_norm: 26.2905 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7000 loss: 1.7000 2022/07/29 19:00:08 - mmengine - INFO - Epoch(train) [10][1400/2505] lr: 3.2000e-04 eta: 1 day, 10:08:05 time: 1.1101 data_time: 0.0274 memory: 32703 grad_norm: 24.3769 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.6956 loss: 1.6956 2022/07/29 19:00:27 - mmengine - INFO - Epoch(train) [10][1420/2505] lr: 3.2000e-04 eta: 1 day, 10:07:35 time: 0.9155 data_time: 0.0284 memory: 32703 grad_norm: 25.4410 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7056 loss: 1.7056 2022/07/29 19:00:48 - mmengine - INFO - Epoch(train) [10][1440/2505] lr: 3.2000e-04 eta: 1 day, 10:07:21 time: 1.0745 data_time: 0.0282 memory: 32703 grad_norm: 25.2531 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5775 loss: 1.5775 2022/07/29 19:01:03 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 19:01:07 - mmengine - INFO - Epoch(train) [10][1460/2505] lr: 3.2000e-04 eta: 1 day, 10:06:52 time: 0.9238 data_time: 0.0276 memory: 32703 grad_norm: 24.5216 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6386 loss: 1.6386 2022/07/29 19:01:28 - mmengine - INFO - Epoch(train) [10][1480/2505] lr: 3.2000e-04 eta: 1 day, 10:06:35 time: 1.0488 data_time: 0.0256 memory: 32703 grad_norm: 24.5848 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7814 loss: 1.7814 2022/07/29 19:01:46 - mmengine - INFO - Epoch(train) [10][1500/2505] lr: 3.2000e-04 eta: 1 day, 10:06:03 time: 0.8929 data_time: 0.0287 memory: 32703 grad_norm: 24.4371 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5665 loss: 1.5665 2022/07/29 19:02:06 - mmengine - INFO - Epoch(train) [10][1520/2505] lr: 3.2000e-04 eta: 1 day, 10:05:46 time: 1.0416 data_time: 0.0284 memory: 32703 grad_norm: 24.8421 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6495 loss: 1.6495 2022/07/29 19:02:23 - mmengine - INFO - Epoch(train) [10][1540/2505] lr: 3.2000e-04 eta: 1 day, 10:05:06 time: 0.8233 data_time: 0.0291 memory: 32703 grad_norm: 23.6591 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6919 loss: 1.6919 2022/07/29 19:02:45 - mmengine - INFO - Epoch(train) [10][1560/2505] lr: 3.2000e-04 eta: 1 day, 10:04:57 time: 1.1192 data_time: 0.0285 memory: 32703 grad_norm: 24.7689 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7366 loss: 1.7366 2022/07/29 19:03:03 - mmengine - INFO - Epoch(train) [10][1580/2505] lr: 3.2000e-04 eta: 1 day, 10:04:24 time: 0.8850 data_time: 0.0273 memory: 32703 grad_norm: 24.7388 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8388 loss: 1.8388 2022/07/29 19:03:25 - mmengine - INFO - Epoch(train) [10][1600/2505] lr: 3.2000e-04 eta: 1 day, 10:04:11 time: 1.0915 data_time: 0.0329 memory: 32703 grad_norm: 25.1502 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6142 loss: 1.6142 2022/07/29 19:03:42 - mmengine - INFO - Epoch(train) [10][1620/2505] lr: 3.2000e-04 eta: 1 day, 10:03:35 time: 0.8539 data_time: 0.0272 memory: 32703 grad_norm: 24.9318 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6734 loss: 1.6734 2022/07/29 19:04:02 - mmengine - INFO - Epoch(train) [10][1640/2505] lr: 3.2000e-04 eta: 1 day, 10:03:15 time: 1.0120 data_time: 0.0249 memory: 32703 grad_norm: 23.5060 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4491 loss: 1.4491 2022/07/29 19:04:20 - mmengine - INFO - Epoch(train) [10][1660/2505] lr: 3.2000e-04 eta: 1 day, 10:02:45 time: 0.9108 data_time: 0.0325 memory: 32703 grad_norm: 23.5124 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5159 loss: 1.5159 2022/07/29 19:04:41 - mmengine - INFO - Epoch(train) [10][1680/2505] lr: 3.2000e-04 eta: 1 day, 10:02:27 time: 1.0428 data_time: 0.0286 memory: 32703 grad_norm: 24.6559 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5224 loss: 1.5224 2022/07/29 19:04:59 - mmengine - INFO - Epoch(train) [10][1700/2505] lr: 3.2000e-04 eta: 1 day, 10:01:54 time: 0.8755 data_time: 0.0616 memory: 32703 grad_norm: 24.8993 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4562 loss: 1.4562 2022/07/29 19:05:20 - mmengine - INFO - Epoch(train) [10][1720/2505] lr: 3.2000e-04 eta: 1 day, 10:01:40 time: 1.0767 data_time: 0.0851 memory: 32703 grad_norm: 24.3473 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6026 loss: 1.6026 2022/07/29 19:05:41 - mmengine - INFO - Epoch(train) [10][1740/2505] lr: 3.2000e-04 eta: 1 day, 10:01:22 time: 1.0366 data_time: 0.2949 memory: 32703 grad_norm: 25.6238 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7107 loss: 1.7107 2022/07/29 19:06:00 - mmengine - INFO - Epoch(train) [10][1760/2505] lr: 3.2000e-04 eta: 1 day, 10:00:55 time: 0.9465 data_time: 0.3183 memory: 32703 grad_norm: 24.7235 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.4863 loss: 1.4863 2022/07/29 19:06:21 - mmengine - INFO - Epoch(train) [10][1780/2505] lr: 3.2000e-04 eta: 1 day, 10:00:39 time: 1.0513 data_time: 0.3196 memory: 32703 grad_norm: 24.0996 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7402 loss: 1.7402 2022/07/29 19:06:45 - mmengine - INFO - Epoch(train) [10][1800/2505] lr: 3.2000e-04 eta: 1 day, 10:00:39 time: 1.2220 data_time: 0.5102 memory: 32703 grad_norm: 25.4614 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6690 loss: 1.6690 2022/07/29 19:07:07 - mmengine - INFO - Epoch(train) [10][1820/2505] lr: 3.2000e-04 eta: 1 day, 10:00:25 time: 1.0693 data_time: 0.4397 memory: 32703 grad_norm: 23.2622 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4436 loss: 1.4436 2022/07/29 19:07:27 - mmengine - INFO - Epoch(train) [10][1840/2505] lr: 3.2000e-04 eta: 1 day, 10:00:05 time: 1.0184 data_time: 0.1540 memory: 32703 grad_norm: 24.9374 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7418 loss: 1.7418 2022/07/29 19:07:46 - mmengine - INFO - Epoch(train) [10][1860/2505] lr: 3.2000e-04 eta: 1 day, 9:59:38 time: 0.9427 data_time: 0.0284 memory: 32703 grad_norm: 24.5527 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8103 loss: 1.8103 2022/07/29 19:08:07 - mmengine - INFO - Epoch(train) [10][1880/2505] lr: 3.2000e-04 eta: 1 day, 9:59:21 time: 1.0470 data_time: 0.0257 memory: 32703 grad_norm: 24.3776 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6434 loss: 1.6434 2022/07/29 19:08:26 - mmengine - INFO - Epoch(train) [10][1900/2505] lr: 3.2000e-04 eta: 1 day, 9:58:53 time: 0.9330 data_time: 0.0259 memory: 32703 grad_norm: 24.6431 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5665 loss: 1.5665 2022/07/29 19:08:46 - mmengine - INFO - Epoch(train) [10][1920/2505] lr: 3.2000e-04 eta: 1 day, 9:58:36 time: 1.0405 data_time: 0.0592 memory: 32703 grad_norm: 25.1883 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4380 loss: 1.4380 2022/07/29 19:09:05 - mmengine - INFO - Epoch(train) [10][1940/2505] lr: 3.2000e-04 eta: 1 day, 9:58:08 time: 0.9360 data_time: 0.0785 memory: 32703 grad_norm: 25.4595 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8740 loss: 1.8740 2022/07/29 19:09:24 - mmengine - INFO - Epoch(train) [10][1960/2505] lr: 3.2000e-04 eta: 1 day, 9:57:43 time: 0.9678 data_time: 0.0720 memory: 32703 grad_norm: 24.6933 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8074 loss: 1.8074 2022/07/29 19:09:47 - mmengine - INFO - Epoch(train) [10][1980/2505] lr: 3.2000e-04 eta: 1 day, 9:57:36 time: 1.1413 data_time: 0.0292 memory: 32703 grad_norm: 24.8868 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5730 loss: 1.5730 2022/07/29 19:10:09 - mmengine - INFO - Epoch(train) [10][2000/2505] lr: 3.2000e-04 eta: 1 day, 9:57:21 time: 1.0643 data_time: 0.0720 memory: 32703 grad_norm: 25.5033 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6656 loss: 1.6656 2022/07/29 19:10:26 - mmengine - INFO - Epoch(train) [10][2020/2505] lr: 3.2000e-04 eta: 1 day, 9:56:45 time: 0.8539 data_time: 0.0263 memory: 32703 grad_norm: 24.8853 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7306 loss: 1.7306 2022/07/29 19:10:47 - mmengine - INFO - Epoch(train) [10][2040/2505] lr: 3.2000e-04 eta: 1 day, 9:56:31 time: 1.0821 data_time: 0.0462 memory: 32703 grad_norm: 23.6985 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8229 loss: 1.8229 2022/07/29 19:11:05 - mmengine - INFO - Epoch(train) [10][2060/2505] lr: 3.2000e-04 eta: 1 day, 9:56:01 time: 0.9051 data_time: 0.0600 memory: 32703 grad_norm: 24.9022 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 1.6618 loss: 1.6618 2022/07/29 19:11:26 - mmengine - INFO - Epoch(train) [10][2080/2505] lr: 3.2000e-04 eta: 1 day, 9:55:44 time: 1.0482 data_time: 0.0880 memory: 32703 grad_norm: 24.0669 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7319 loss: 1.7319 2022/07/29 19:11:44 - mmengine - INFO - Epoch(train) [10][2100/2505] lr: 3.2000e-04 eta: 1 day, 9:55:09 time: 0.8606 data_time: 0.0454 memory: 32703 grad_norm: 23.6291 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5380 loss: 1.5380 2022/07/29 19:12:05 - mmengine - INFO - Epoch(train) [10][2120/2505] lr: 3.2000e-04 eta: 1 day, 9:54:53 time: 1.0582 data_time: 0.0621 memory: 32703 grad_norm: 24.1841 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7163 loss: 1.7163 2022/07/29 19:12:24 - mmengine - INFO - Epoch(train) [10][2140/2505] lr: 3.2000e-04 eta: 1 day, 9:54:25 time: 0.9367 data_time: 0.0601 memory: 32703 grad_norm: 24.4551 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6121 loss: 1.6121 2022/07/29 19:12:45 - mmengine - INFO - Epoch(train) [10][2160/2505] lr: 3.2000e-04 eta: 1 day, 9:54:08 time: 1.0379 data_time: 0.0289 memory: 32703 grad_norm: 25.4455 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7451 loss: 1.7451 2022/07/29 19:13:02 - mmengine - INFO - Epoch(train) [10][2180/2505] lr: 3.2000e-04 eta: 1 day, 9:53:36 time: 0.8977 data_time: 0.1071 memory: 32703 grad_norm: 24.2944 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5409 loss: 1.5409 2022/07/29 19:13:23 - mmengine - INFO - Epoch(train) [10][2200/2505] lr: 3.2000e-04 eta: 1 day, 9:53:18 time: 1.0300 data_time: 0.1530 memory: 32703 grad_norm: 24.4265 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6792 loss: 1.6792 2022/07/29 19:13:52 - mmengine - INFO - Epoch(train) [10][2220/2505] lr: 3.2000e-04 eta: 1 day, 9:53:41 time: 1.4561 data_time: 0.3105 memory: 32703 grad_norm: 24.6079 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4351 loss: 1.4351 2022/07/29 19:14:13 - mmengine - INFO - Epoch(train) [10][2240/2505] lr: 3.2000e-04 eta: 1 day, 9:53:23 time: 1.0381 data_time: 0.0417 memory: 32703 grad_norm: 23.7279 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6080 loss: 1.6080 2022/07/29 19:14:32 - mmengine - INFO - Epoch(train) [10][2260/2505] lr: 3.2000e-04 eta: 1 day, 9:52:57 time: 0.9563 data_time: 0.0298 memory: 32703 grad_norm: 24.5885 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4813 loss: 1.4813 2022/07/29 19:14:51 - mmengine - INFO - Epoch(train) [10][2280/2505] lr: 3.2000e-04 eta: 1 day, 9:52:31 time: 0.9500 data_time: 0.0812 memory: 32703 grad_norm: 24.7699 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4569 loss: 1.4569 2022/07/29 19:15:11 - mmengine - INFO - Epoch(train) [10][2300/2505] lr: 3.2000e-04 eta: 1 day, 9:52:10 time: 1.0063 data_time: 0.0294 memory: 32703 grad_norm: 24.8373 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6165 loss: 1.6165 2022/07/29 19:15:30 - mmengine - INFO - Epoch(train) [10][2320/2505] lr: 3.2000e-04 eta: 1 day, 9:51:44 time: 0.9550 data_time: 0.0277 memory: 32703 grad_norm: 23.3228 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5444 loss: 1.5444 2022/07/29 19:15:50 - mmengine - INFO - Epoch(train) [10][2340/2505] lr: 3.2000e-04 eta: 1 day, 9:51:25 time: 1.0199 data_time: 0.0294 memory: 32703 grad_norm: 24.3329 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5503 loss: 1.5503 2022/07/29 19:16:10 - mmengine - INFO - Epoch(train) [10][2360/2505] lr: 3.2000e-04 eta: 1 day, 9:51:03 time: 0.9963 data_time: 0.0985 memory: 32703 grad_norm: 24.6481 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5653 loss: 1.5653 2022/07/29 19:16:33 - mmengine - INFO - Epoch(train) [10][2380/2505] lr: 3.2000e-04 eta: 1 day, 9:50:54 time: 1.1313 data_time: 0.0329 memory: 32703 grad_norm: 23.7282 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6999 loss: 1.6999 2022/07/29 19:16:51 - mmengine - INFO - Epoch(train) [10][2400/2505] lr: 3.2000e-04 eta: 1 day, 9:50:24 time: 0.9079 data_time: 0.0285 memory: 32703 grad_norm: 24.4809 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6354 loss: 1.6354 2022/07/29 19:17:12 - mmengine - INFO - Epoch(train) [10][2420/2505] lr: 3.2000e-04 eta: 1 day, 9:50:05 time: 1.0207 data_time: 0.0371 memory: 32703 grad_norm: 24.0309 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.2512 loss: 1.2512 2022/07/29 19:17:31 - mmengine - INFO - Epoch(train) [10][2440/2505] lr: 3.2000e-04 eta: 1 day, 9:49:39 time: 0.9551 data_time: 0.0284 memory: 32703 grad_norm: 24.0107 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4511 loss: 1.4511 2022/07/29 19:17:45 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 19:17:51 - mmengine - INFO - Epoch(train) [10][2460/2505] lr: 3.2000e-04 eta: 1 day, 9:49:17 time: 0.9993 data_time: 0.0294 memory: 32703 grad_norm: 25.1168 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6651 loss: 1.6651 2022/07/29 19:18:09 - mmengine - INFO - Epoch(train) [10][2480/2505] lr: 3.2000e-04 eta: 1 day, 9:48:48 time: 0.9189 data_time: 0.0286 memory: 32703 grad_norm: 25.1213 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.9307 loss: 1.9307 2022/07/29 19:18:28 - mmengine - INFO - Epoch(train) [10][2500/2505] lr: 3.2000e-04 eta: 1 day, 9:48:23 time: 0.9621 data_time: 0.0346 memory: 32703 grad_norm: 25.1803 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6129 loss: 1.6129 2022/07/29 19:18:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 19:18:31 - mmengine - INFO - Epoch(train) [10][2505/2505] lr: 3.2000e-04 eta: 1 day, 9:48:23 time: 0.7352 data_time: 0.0219 memory: 32703 grad_norm: 25.4355 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.5894 loss: 1.5894 2022/07/29 19:18:31 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/07/29 19:19:01 - mmengine - INFO - Epoch(train) [11][20/2505] lr: 3.5000e-04 eta: 1 day, 9:47:54 time: 1.2223 data_time: 0.6416 memory: 32703 grad_norm: 25.3427 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9493 loss: 1.9493 2022/07/29 19:19:20 - mmengine - INFO - Epoch(train) [11][40/2505] lr: 3.5000e-04 eta: 1 day, 9:47:26 time: 0.9380 data_time: 0.3331 memory: 32703 grad_norm: 25.3689 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6831 loss: 1.6831 2022/07/29 19:19:43 - mmengine - INFO - Epoch(train) [11][60/2505] lr: 3.5000e-04 eta: 1 day, 9:47:22 time: 1.1822 data_time: 0.5779 memory: 32703 grad_norm: 23.6605 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4801 loss: 1.4801 2022/07/29 19:20:05 - mmengine - INFO - Epoch(train) [11][80/2505] lr: 3.5000e-04 eta: 1 day, 9:47:07 time: 1.0673 data_time: 0.4531 memory: 32703 grad_norm: 24.7307 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5403 loss: 1.5403 2022/07/29 19:20:23 - mmengine - INFO - Epoch(train) [11][100/2505] lr: 3.5000e-04 eta: 1 day, 9:46:36 time: 0.8930 data_time: 0.2979 memory: 32703 grad_norm: 24.2247 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5729 loss: 1.5729 2022/07/29 19:20:41 - mmengine - INFO - Epoch(train) [11][120/2505] lr: 3.5000e-04 eta: 1 day, 9:46:05 time: 0.8992 data_time: 0.3108 memory: 32703 grad_norm: 24.2928 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.5137 loss: 1.5137 2022/07/29 19:21:04 - mmengine - INFO - Epoch(train) [11][140/2505] lr: 3.5000e-04 eta: 1 day, 9:45:58 time: 1.1560 data_time: 0.5632 memory: 32703 grad_norm: 24.1264 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4144 loss: 1.4144 2022/07/29 19:21:26 - mmengine - INFO - Epoch(train) [11][160/2505] lr: 3.5000e-04 eta: 1 day, 9:45:46 time: 1.0963 data_time: 0.1790 memory: 32703 grad_norm: 25.1337 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6601 loss: 1.6601 2022/07/29 19:21:44 - mmengine - INFO - Epoch(train) [11][180/2505] lr: 3.5000e-04 eta: 1 day, 9:45:17 time: 0.9219 data_time: 0.0411 memory: 32703 grad_norm: 24.1222 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7712 loss: 1.7712 2022/07/29 19:22:04 - mmengine - INFO - Epoch(train) [11][200/2505] lr: 3.5000e-04 eta: 1 day, 9:44:57 time: 1.0144 data_time: 0.1304 memory: 32703 grad_norm: 24.4235 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6113 loss: 1.6113 2022/07/29 19:22:23 - mmengine - INFO - Epoch(train) [11][220/2505] lr: 3.5000e-04 eta: 1 day, 9:44:29 time: 0.9307 data_time: 0.2372 memory: 32703 grad_norm: 25.2541 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8590 loss: 1.8590 2022/07/29 19:22:44 - mmengine - INFO - Epoch(train) [11][240/2505] lr: 3.5000e-04 eta: 1 day, 9:44:14 time: 1.0632 data_time: 0.0500 memory: 32703 grad_norm: 25.3975 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5943 loss: 1.5943 2022/07/29 19:23:09 - mmengine - INFO - Epoch(train) [11][260/2505] lr: 3.5000e-04 eta: 1 day, 9:44:15 time: 1.2368 data_time: 0.0408 memory: 32703 grad_norm: 24.0373 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3233 loss: 1.3233 2022/07/29 19:23:23 - mmengine - INFO - Epoch(train) [11][280/2505] lr: 3.5000e-04 eta: 1 day, 9:43:27 time: 0.7210 data_time: 0.0280 memory: 32703 grad_norm: 24.1839 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7727 loss: 1.7727 2022/07/29 19:23:45 - mmengine - INFO - Epoch(train) [11][300/2505] lr: 3.5000e-04 eta: 1 day, 9:43:11 time: 1.0598 data_time: 0.0265 memory: 32703 grad_norm: 24.9253 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4408 loss: 1.4408 2022/07/29 19:24:03 - mmengine - INFO - Epoch(train) [11][320/2505] lr: 3.5000e-04 eta: 1 day, 9:42:42 time: 0.9226 data_time: 0.0325 memory: 32703 grad_norm: 24.2514 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5712 loss: 1.5712 2022/07/29 19:24:24 - mmengine - INFO - Epoch(train) [11][340/2505] lr: 3.5000e-04 eta: 1 day, 9:42:27 time: 1.0658 data_time: 0.0325 memory: 32703 grad_norm: 24.6172 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6053 loss: 1.6053 2022/07/29 19:24:42 - mmengine - INFO - Epoch(train) [11][360/2505] lr: 3.5000e-04 eta: 1 day, 9:41:54 time: 0.8780 data_time: 0.0317 memory: 32703 grad_norm: 23.0248 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7970 loss: 1.7970 2022/07/29 19:25:03 - mmengine - INFO - Epoch(train) [11][380/2505] lr: 3.5000e-04 eta: 1 day, 9:41:40 time: 1.0705 data_time: 0.0318 memory: 32703 grad_norm: 24.2638 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6071 loss: 1.6071 2022/07/29 19:25:22 - mmengine - INFO - Epoch(train) [11][400/2505] lr: 3.5000e-04 eta: 1 day, 9:41:11 time: 0.9251 data_time: 0.0324 memory: 32703 grad_norm: 24.0347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9460 loss: 1.9460 2022/07/29 19:25:43 - mmengine - INFO - Epoch(train) [11][420/2505] lr: 3.5000e-04 eta: 1 day, 9:40:53 time: 1.0329 data_time: 0.0631 memory: 32703 grad_norm: 24.3787 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5859 loss: 1.5859 2022/07/29 19:26:00 - mmengine - INFO - Epoch(train) [11][440/2505] lr: 3.5000e-04 eta: 1 day, 9:40:19 time: 0.8615 data_time: 0.0374 memory: 32703 grad_norm: 25.0929 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5963 loss: 1.5963 2022/07/29 19:26:22 - mmengine - INFO - Epoch(train) [11][460/2505] lr: 3.5000e-04 eta: 1 day, 9:40:06 time: 1.0978 data_time: 0.0274 memory: 32703 grad_norm: 24.1350 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8179 loss: 1.8179 2022/07/29 19:26:41 - mmengine - INFO - Epoch(train) [11][480/2505] lr: 3.5000e-04 eta: 1 day, 9:39:40 time: 0.9414 data_time: 0.0285 memory: 32703 grad_norm: 24.8815 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9689 loss: 1.9689 2022/07/29 19:27:07 - mmengine - INFO - Epoch(train) [11][500/2505] lr: 3.5000e-04 eta: 1 day, 9:39:47 time: 1.3084 data_time: 0.0335 memory: 32703 grad_norm: 23.6910 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9642 loss: 1.9642 2022/07/29 19:27:27 - mmengine - INFO - Epoch(train) [11][520/2505] lr: 3.5000e-04 eta: 1 day, 9:39:27 time: 1.0104 data_time: 0.0336 memory: 32703 grad_norm: 23.7131 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5677 loss: 1.5677 2022/07/29 19:27:43 - mmengine - INFO - Epoch(train) [11][540/2505] lr: 3.5000e-04 eta: 1 day, 9:38:49 time: 0.8228 data_time: 0.0335 memory: 32703 grad_norm: 24.5856 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5251 loss: 1.5251 2022/07/29 19:28:01 - mmengine - INFO - Epoch(train) [11][560/2505] lr: 3.5000e-04 eta: 1 day, 9:38:18 time: 0.8981 data_time: 0.0273 memory: 32703 grad_norm: 23.9946 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7785 loss: 1.7785 2022/07/29 19:28:22 - mmengine - INFO - Epoch(train) [11][580/2505] lr: 3.5000e-04 eta: 1 day, 9:38:00 time: 1.0389 data_time: 0.0276 memory: 32703 grad_norm: 24.6365 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 2.0192 loss: 2.0192 2022/07/29 19:28:41 - mmengine - INFO - Epoch(train) [11][600/2505] lr: 3.5000e-04 eta: 1 day, 9:37:35 time: 0.9629 data_time: 0.0270 memory: 32703 grad_norm: 24.2299 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5690 loss: 1.5690 2022/07/29 19:29:03 - mmengine - INFO - Epoch(train) [11][620/2505] lr: 3.5000e-04 eta: 1 day, 9:37:21 time: 1.0787 data_time: 0.0265 memory: 32703 grad_norm: 22.7436 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5931 loss: 1.5931 2022/07/29 19:29:33 - mmengine - INFO - Epoch(train) [11][640/2505] lr: 3.5000e-04 eta: 1 day, 9:37:47 time: 1.5056 data_time: 0.1995 memory: 32703 grad_norm: 24.1139 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9894 loss: 1.9894 2022/07/29 19:29:55 - mmengine - INFO - Epoch(train) [11][660/2505] lr: 3.5000e-04 eta: 1 day, 9:37:37 time: 1.1160 data_time: 0.1222 memory: 32703 grad_norm: 24.5922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6021 loss: 1.6021 2022/07/29 19:30:14 - mmengine - INFO - Epoch(train) [11][680/2505] lr: 3.5000e-04 eta: 1 day, 9:37:09 time: 0.9337 data_time: 0.0307 memory: 32703 grad_norm: 25.3677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8694 loss: 1.8694 2022/07/29 19:30:34 - mmengine - INFO - Epoch(train) [11][700/2505] lr: 3.5000e-04 eta: 1 day, 9:36:50 time: 1.0211 data_time: 0.0641 memory: 32703 grad_norm: 24.3303 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4556 loss: 1.4556 2022/07/29 19:30:55 - mmengine - INFO - Epoch(train) [11][720/2505] lr: 3.5000e-04 eta: 1 day, 9:36:32 time: 1.0385 data_time: 0.2149 memory: 32703 grad_norm: 22.5349 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5915 loss: 1.5915 2022/07/29 19:31:13 - mmengine - INFO - Epoch(train) [11][740/2505] lr: 3.5000e-04 eta: 1 day, 9:36:02 time: 0.9090 data_time: 0.2633 memory: 32703 grad_norm: 23.5859 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5853 loss: 1.5853 2022/07/29 19:31:38 - mmengine - INFO - Epoch(train) [11][760/2505] lr: 3.5000e-04 eta: 1 day, 9:36:01 time: 1.2221 data_time: 0.2949 memory: 32703 grad_norm: 24.1310 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5163 loss: 1.5163 2022/07/29 19:31:57 - mmengine - INFO - Epoch(train) [11][780/2505] lr: 3.5000e-04 eta: 1 day, 9:35:38 time: 0.9760 data_time: 0.0871 memory: 32703 grad_norm: 24.0847 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7589 loss: 1.7589 2022/07/29 19:32:23 - mmengine - INFO - Epoch(train) [11][800/2505] lr: 3.5000e-04 eta: 1 day, 9:35:40 time: 1.2606 data_time: 0.1019 memory: 32703 grad_norm: 24.9924 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3861 loss: 1.3861 2022/07/29 19:32:41 - mmengine - INFO - Epoch(train) [11][820/2505] lr: 3.5000e-04 eta: 1 day, 9:35:10 time: 0.9001 data_time: 0.0307 memory: 32703 grad_norm: 24.0362 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4604 loss: 1.4604 2022/07/29 19:33:02 - mmengine - INFO - Epoch(train) [11][840/2505] lr: 3.5000e-04 eta: 1 day, 9:34:56 time: 1.0855 data_time: 0.0307 memory: 32703 grad_norm: 25.2083 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8227 loss: 1.8227 2022/07/29 19:33:20 - mmengine - INFO - Epoch(train) [11][860/2505] lr: 3.5000e-04 eta: 1 day, 9:34:22 time: 0.8607 data_time: 0.0264 memory: 32703 grad_norm: 23.9518 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6411 loss: 1.6411 2022/07/29 19:33:40 - mmengine - INFO - Epoch(train) [11][880/2505] lr: 3.5000e-04 eta: 1 day, 9:34:03 time: 1.0299 data_time: 0.0263 memory: 32703 grad_norm: 23.9499 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7599 loss: 1.7599 2022/07/29 19:33:58 - mmengine - INFO - Epoch(train) [11][900/2505] lr: 3.5000e-04 eta: 1 day, 9:33:32 time: 0.8989 data_time: 0.0285 memory: 32703 grad_norm: 23.3917 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5521 loss: 1.5521 2022/07/29 19:34:18 - mmengine - INFO - Epoch(train) [11][920/2505] lr: 3.5000e-04 eta: 1 day, 9:33:12 time: 1.0044 data_time: 0.0258 memory: 32703 grad_norm: 25.1918 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3592 loss: 1.3592 2022/07/29 19:34:37 - mmengine - INFO - Epoch(train) [11][940/2505] lr: 3.5000e-04 eta: 1 day, 9:32:44 time: 0.9339 data_time: 0.0290 memory: 32703 grad_norm: 24.0873 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6967 loss: 1.6967 2022/07/29 19:34:46 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 19:34:57 - mmengine - INFO - Epoch(train) [11][960/2505] lr: 3.5000e-04 eta: 1 day, 9:32:23 time: 1.0017 data_time: 0.0279 memory: 32703 grad_norm: 24.9710 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7495 loss: 1.7495 2022/07/29 19:35:16 - mmengine - INFO - Epoch(train) [11][980/2505] lr: 3.5000e-04 eta: 1 day, 9:31:58 time: 0.9655 data_time: 0.0274 memory: 32703 grad_norm: 25.6184 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.6985 loss: 1.6985 2022/07/29 19:35:36 - mmengine - INFO - Epoch(train) [11][1000/2505] lr: 3.5000e-04 eta: 1 day, 9:31:35 time: 0.9764 data_time: 0.0439 memory: 32703 grad_norm: 24.7199 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5045 loss: 1.5045 2022/07/29 19:35:55 - mmengine - INFO - Epoch(train) [11][1020/2505] lr: 3.5000e-04 eta: 1 day, 9:31:08 time: 0.9361 data_time: 0.0410 memory: 32703 grad_norm: 23.9084 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6603 loss: 1.6603 2022/07/29 19:36:16 - mmengine - INFO - Epoch(train) [11][1040/2505] lr: 3.5000e-04 eta: 1 day, 9:30:51 time: 1.0555 data_time: 0.0305 memory: 32703 grad_norm: 23.4737 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4361 loss: 1.4361 2022/07/29 19:36:35 - mmengine - INFO - Epoch(train) [11][1060/2505] lr: 3.5000e-04 eta: 1 day, 9:30:27 time: 0.9723 data_time: 0.1508 memory: 32703 grad_norm: 23.2397 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5000 loss: 1.5000 2022/07/29 19:36:55 - mmengine - INFO - Epoch(train) [11][1080/2505] lr: 3.5000e-04 eta: 1 day, 9:30:04 time: 0.9725 data_time: 0.2124 memory: 32703 grad_norm: 24.7849 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7624 loss: 1.7624 2022/07/29 19:37:19 - mmengine - INFO - Epoch(train) [11][1100/2505] lr: 3.5000e-04 eta: 1 day, 9:30:01 time: 1.2042 data_time: 0.5667 memory: 32703 grad_norm: 24.3010 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.6948 loss: 1.6948 2022/07/29 19:37:40 - mmengine - INFO - Epoch(train) [11][1120/2505] lr: 3.5000e-04 eta: 1 day, 9:29:48 time: 1.0917 data_time: 0.0359 memory: 32703 grad_norm: 24.1654 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7190 loss: 1.7190 2022/07/29 19:37:57 - mmengine - INFO - Epoch(train) [11][1140/2505] lr: 3.5000e-04 eta: 1 day, 9:29:09 time: 0.8113 data_time: 0.0268 memory: 32703 grad_norm: 24.2379 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7145 loss: 1.7145 2022/07/29 19:38:19 - mmengine - INFO - Epoch(train) [11][1160/2505] lr: 3.5000e-04 eta: 1 day, 9:28:59 time: 1.1178 data_time: 0.0271 memory: 32703 grad_norm: 24.1180 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6316 loss: 1.6316 2022/07/29 19:38:36 - mmengine - INFO - Epoch(train) [11][1180/2505] lr: 3.5000e-04 eta: 1 day, 9:28:23 time: 0.8481 data_time: 0.0286 memory: 32703 grad_norm: 24.9663 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7249 loss: 1.7249 2022/07/29 19:38:57 - mmengine - INFO - Epoch(train) [11][1200/2505] lr: 3.5000e-04 eta: 1 day, 9:28:05 time: 1.0318 data_time: 0.0258 memory: 32703 grad_norm: 24.2020 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.7306 loss: 1.7306 2022/07/29 19:39:13 - mmengine - INFO - Epoch(train) [11][1220/2505] lr: 3.5000e-04 eta: 1 day, 9:27:28 time: 0.8315 data_time: 0.0426 memory: 32703 grad_norm: 25.4690 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9161 loss: 1.9161 2022/07/29 19:39:34 - mmengine - INFO - Epoch(train) [11][1240/2505] lr: 3.5000e-04 eta: 1 day, 9:27:12 time: 1.0577 data_time: 0.0236 memory: 32703 grad_norm: 24.4910 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.6686 loss: 1.6686 2022/07/29 19:39:54 - mmengine - INFO - Epoch(train) [11][1260/2505] lr: 3.5000e-04 eta: 1 day, 9:26:50 time: 0.9854 data_time: 0.0303 memory: 32703 grad_norm: 24.7831 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6934 loss: 1.6934 2022/07/29 19:40:16 - mmengine - INFO - Epoch(train) [11][1280/2505] lr: 3.5000e-04 eta: 1 day, 9:26:36 time: 1.0806 data_time: 0.0404 memory: 32703 grad_norm: 24.2077 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7797 loss: 1.7797 2022/07/29 19:40:34 - mmengine - INFO - Epoch(train) [11][1300/2505] lr: 3.5000e-04 eta: 1 day, 9:26:07 time: 0.9229 data_time: 0.0363 memory: 32703 grad_norm: 23.7144 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.9251 loss: 1.9251 2022/07/29 19:40:55 - mmengine - INFO - Epoch(train) [11][1320/2505] lr: 3.5000e-04 eta: 1 day, 9:25:51 time: 1.0592 data_time: 0.0272 memory: 32703 grad_norm: 23.3819 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4905 loss: 1.4905 2022/07/29 19:41:15 - mmengine - INFO - Epoch(train) [11][1340/2505] lr: 3.5000e-04 eta: 1 day, 9:25:28 time: 0.9745 data_time: 0.0350 memory: 32703 grad_norm: 23.7115 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6277 loss: 1.6277 2022/07/29 19:41:36 - mmengine - INFO - Epoch(train) [11][1360/2505] lr: 3.5000e-04 eta: 1 day, 9:25:13 time: 1.0745 data_time: 0.0306 memory: 32703 grad_norm: 23.7934 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3089 loss: 1.3089 2022/07/29 19:41:55 - mmengine - INFO - Epoch(train) [11][1380/2505] lr: 3.5000e-04 eta: 1 day, 9:24:45 time: 0.9243 data_time: 0.0893 memory: 32703 grad_norm: 23.0303 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4298 loss: 1.4298 2022/07/29 19:42:16 - mmengine - INFO - Epoch(train) [11][1400/2505] lr: 3.5000e-04 eta: 1 day, 9:24:28 time: 1.0484 data_time: 0.0305 memory: 32703 grad_norm: 24.5793 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6810 loss: 1.6810 2022/07/29 19:42:33 - mmengine - INFO - Epoch(train) [11][1420/2505] lr: 3.5000e-04 eta: 1 day, 9:23:55 time: 0.8741 data_time: 0.0463 memory: 32703 grad_norm: 25.4238 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7464 loss: 1.7464 2022/07/29 19:42:54 - mmengine - INFO - Epoch(train) [11][1440/2505] lr: 3.5000e-04 eta: 1 day, 9:23:36 time: 1.0263 data_time: 0.0264 memory: 32703 grad_norm: 23.1747 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4957 loss: 1.4957 2022/07/29 19:43:11 - mmengine - INFO - Epoch(train) [11][1460/2505] lr: 3.5000e-04 eta: 1 day, 9:23:04 time: 0.8754 data_time: 0.0330 memory: 32703 grad_norm: 24.0801 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6042 loss: 1.6042 2022/07/29 19:43:33 - mmengine - INFO - Epoch(train) [11][1480/2505] lr: 3.5000e-04 eta: 1 day, 9:22:48 time: 1.0623 data_time: 0.0351 memory: 32703 grad_norm: 24.1741 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8127 loss: 1.8127 2022/07/29 19:43:51 - mmengine - INFO - Epoch(train) [11][1500/2505] lr: 3.5000e-04 eta: 1 day, 9:22:18 time: 0.9013 data_time: 0.0331 memory: 32703 grad_norm: 22.3049 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.6151 loss: 1.6151 2022/07/29 19:44:12 - mmengine - INFO - Epoch(train) [11][1520/2505] lr: 3.5000e-04 eta: 1 day, 9:22:03 time: 1.0664 data_time: 0.0335 memory: 32703 grad_norm: 24.4537 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6570 loss: 1.6570 2022/07/29 19:44:31 - mmengine - INFO - Epoch(train) [11][1540/2505] lr: 3.5000e-04 eta: 1 day, 9:21:36 time: 0.9340 data_time: 0.0271 memory: 32703 grad_norm: 23.4976 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.6323 loss: 1.6323 2022/07/29 19:44:52 - mmengine - INFO - Epoch(train) [11][1560/2505] lr: 3.5000e-04 eta: 1 day, 9:21:21 time: 1.0747 data_time: 0.0325 memory: 32703 grad_norm: 23.5615 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.5841 loss: 1.5841 2022/07/29 19:45:11 - mmengine - INFO - Epoch(train) [11][1580/2505] lr: 3.5000e-04 eta: 1 day, 9:20:54 time: 0.9383 data_time: 0.0295 memory: 32703 grad_norm: 23.9253 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5681 loss: 1.5681 2022/07/29 19:45:32 - mmengine - INFO - Epoch(train) [11][1600/2505] lr: 3.5000e-04 eta: 1 day, 9:20:36 time: 1.0362 data_time: 0.0332 memory: 32703 grad_norm: 23.9776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5054 loss: 1.5054 2022/07/29 19:45:50 - mmengine - INFO - Epoch(train) [11][1620/2505] lr: 3.5000e-04 eta: 1 day, 9:20:05 time: 0.8890 data_time: 0.0348 memory: 32703 grad_norm: 23.7285 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7431 loss: 1.7431 2022/07/29 19:46:16 - mmengine - INFO - Epoch(train) [11][1640/2505] lr: 3.5000e-04 eta: 1 day, 9:20:11 time: 1.3046 data_time: 0.2173 memory: 32703 grad_norm: 24.6465 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7667 loss: 1.7667 2022/07/29 19:46:32 - mmengine - INFO - Epoch(train) [11][1660/2505] lr: 3.5000e-04 eta: 1 day, 9:19:33 time: 0.8141 data_time: 0.0339 memory: 32703 grad_norm: 24.4665 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7570 loss: 1.7570 2022/07/29 19:46:53 - mmengine - INFO - Epoch(train) [11][1680/2505] lr: 3.5000e-04 eta: 1 day, 9:19:18 time: 1.0718 data_time: 0.0955 memory: 32703 grad_norm: 25.1756 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6287 loss: 1.6287 2022/07/29 19:47:11 - mmengine - INFO - Epoch(train) [11][1700/2505] lr: 3.5000e-04 eta: 1 day, 9:18:46 time: 0.8747 data_time: 0.0290 memory: 32703 grad_norm: 24.4858 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8009 loss: 1.8009 2022/07/29 19:47:32 - mmengine - INFO - Epoch(train) [11][1720/2505] lr: 3.5000e-04 eta: 1 day, 9:18:31 time: 1.0714 data_time: 0.0333 memory: 32703 grad_norm: 23.9708 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6590 loss: 1.6590 2022/07/29 19:47:50 - mmengine - INFO - Epoch(train) [11][1740/2505] lr: 3.5000e-04 eta: 1 day, 9:18:00 time: 0.8925 data_time: 0.0277 memory: 32703 grad_norm: 24.2556 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.8483 loss: 1.8483 2022/07/29 19:48:10 - mmengine - INFO - Epoch(train) [11][1760/2505] lr: 3.5000e-04 eta: 1 day, 9:17:39 time: 1.0053 data_time: 0.0328 memory: 32703 grad_norm: 23.0956 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6220 loss: 1.6220 2022/07/29 19:48:29 - mmengine - INFO - Epoch(train) [11][1780/2505] lr: 3.5000e-04 eta: 1 day, 9:17:13 time: 0.9433 data_time: 0.0320 memory: 32703 grad_norm: 23.8433 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6797 loss: 1.6797 2022/07/29 19:48:49 - mmengine - INFO - Epoch(train) [11][1800/2505] lr: 3.5000e-04 eta: 1 day, 9:16:51 time: 0.9985 data_time: 0.0337 memory: 32703 grad_norm: 22.7068 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9122 loss: 1.9122 2022/07/29 19:49:09 - mmengine - INFO - Epoch(train) [11][1820/2505] lr: 3.5000e-04 eta: 1 day, 9:16:29 time: 0.9825 data_time: 0.0333 memory: 32703 grad_norm: 24.2572 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5111 loss: 1.5111 2022/07/29 19:49:34 - mmengine - INFO - Epoch(train) [11][1840/2505] lr: 3.5000e-04 eta: 1 day, 9:16:30 time: 1.2540 data_time: 0.0274 memory: 32703 grad_norm: 23.9045 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.8825 loss: 1.8825 2022/07/29 19:49:52 - mmengine - INFO - Epoch(train) [11][1860/2505] lr: 3.5000e-04 eta: 1 day, 9:15:59 time: 0.8973 data_time: 0.1004 memory: 32703 grad_norm: 23.2422 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6549 loss: 1.6549 2022/07/29 19:50:13 - mmengine - INFO - Epoch(train) [11][1880/2505] lr: 3.5000e-04 eta: 1 day, 9:15:42 time: 1.0397 data_time: 0.0332 memory: 32703 grad_norm: 22.7950 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6355 loss: 1.6355 2022/07/29 19:50:31 - mmengine - INFO - Epoch(train) [11][1900/2505] lr: 3.5000e-04 eta: 1 day, 9:15:14 time: 0.9212 data_time: 0.0356 memory: 32703 grad_norm: 24.9566 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5930 loss: 1.5930 2022/07/29 19:50:52 - mmengine - INFO - Epoch(train) [11][1920/2505] lr: 3.5000e-04 eta: 1 day, 9:14:57 time: 1.0515 data_time: 0.0337 memory: 32703 grad_norm: 25.0435 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4429 loss: 1.4429 2022/07/29 19:51:10 - mmengine - INFO - Epoch(train) [11][1940/2505] lr: 3.5000e-04 eta: 1 day, 9:14:29 time: 0.9262 data_time: 0.0334 memory: 32703 grad_norm: 24.2221 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8319 loss: 1.8319 2022/07/29 19:51:21 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 19:51:32 - mmengine - INFO - Epoch(train) [11][1960/2505] lr: 3.5000e-04 eta: 1 day, 9:14:13 time: 1.0562 data_time: 0.0260 memory: 32703 grad_norm: 24.1528 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5536 loss: 1.5536 2022/07/29 19:51:50 - mmengine - INFO - Epoch(train) [11][1980/2505] lr: 3.5000e-04 eta: 1 day, 9:13:46 time: 0.9392 data_time: 0.0313 memory: 32703 grad_norm: 24.4834 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6901 loss: 1.6901 2022/07/29 19:52:11 - mmengine - INFO - Epoch(train) [11][2000/2505] lr: 3.5000e-04 eta: 1 day, 9:13:27 time: 1.0244 data_time: 0.0361 memory: 32703 grad_norm: 24.6482 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6329 loss: 1.6329 2022/07/29 19:52:30 - mmengine - INFO - Epoch(train) [11][2020/2505] lr: 3.5000e-04 eta: 1 day, 9:13:00 time: 0.9291 data_time: 0.0815 memory: 32703 grad_norm: 23.8724 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7017 loss: 1.7017 2022/07/29 19:52:50 - mmengine - INFO - Epoch(train) [11][2040/2505] lr: 3.5000e-04 eta: 1 day, 9:12:42 time: 1.0402 data_time: 0.0773 memory: 32703 grad_norm: 23.0767 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6746 loss: 1.6746 2022/07/29 19:53:09 - mmengine - INFO - Epoch(train) [11][2060/2505] lr: 3.5000e-04 eta: 1 day, 9:12:14 time: 0.9190 data_time: 0.0513 memory: 32703 grad_norm: 23.3475 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5771 loss: 1.5771 2022/07/29 19:53:31 - mmengine - INFO - Epoch(train) [11][2080/2505] lr: 3.5000e-04 eta: 1 day, 9:12:03 time: 1.1250 data_time: 0.0880 memory: 32703 grad_norm: 23.3719 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6751 loss: 1.6751 2022/07/29 19:53:49 - mmengine - INFO - Epoch(train) [11][2100/2505] lr: 3.5000e-04 eta: 1 day, 9:11:35 time: 0.9172 data_time: 0.0285 memory: 32703 grad_norm: 23.5307 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5279 loss: 1.5279 2022/07/29 19:54:09 - mmengine - INFO - Epoch(train) [11][2120/2505] lr: 3.5000e-04 eta: 1 day, 9:11:13 time: 0.9977 data_time: 0.0844 memory: 32703 grad_norm: 22.7799 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5607 loss: 1.5607 2022/07/29 19:54:27 - mmengine - INFO - Epoch(train) [11][2140/2505] lr: 3.5000e-04 eta: 1 day, 9:10:43 time: 0.8912 data_time: 0.1573 memory: 32703 grad_norm: 24.1757 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6845 loss: 1.6845 2022/07/29 19:54:49 - mmengine - INFO - Epoch(train) [11][2160/2505] lr: 3.5000e-04 eta: 1 day, 9:10:29 time: 1.0824 data_time: 0.0820 memory: 32703 grad_norm: 24.4961 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.6815 loss: 1.6815 2022/07/29 19:55:05 - mmengine - INFO - Epoch(train) [11][2180/2505] lr: 3.5000e-04 eta: 1 day, 9:09:53 time: 0.8313 data_time: 0.0792 memory: 32703 grad_norm: 23.0161 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7781 loss: 1.7781 2022/07/29 19:55:27 - mmengine - INFO - Epoch(train) [11][2200/2505] lr: 3.5000e-04 eta: 1 day, 9:09:39 time: 1.0903 data_time: 0.0402 memory: 32703 grad_norm: 23.3835 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7712 loss: 1.7712 2022/07/29 19:55:46 - mmengine - INFO - Epoch(train) [11][2220/2505] lr: 3.5000e-04 eta: 1 day, 9:09:11 time: 0.9128 data_time: 0.0899 memory: 32703 grad_norm: 24.3939 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9468 loss: 1.9468 2022/07/29 19:56:06 - mmengine - INFO - Epoch(train) [11][2240/2505] lr: 3.5000e-04 eta: 1 day, 9:08:51 time: 1.0210 data_time: 0.0469 memory: 32703 grad_norm: 23.3829 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4874 loss: 1.4874 2022/07/29 19:56:25 - mmengine - INFO - Epoch(train) [11][2260/2505] lr: 3.5000e-04 eta: 1 day, 9:08:26 time: 0.9472 data_time: 0.0262 memory: 32703 grad_norm: 22.9909 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5166 loss: 1.5166 2022/07/29 19:56:46 - mmengine - INFO - Epoch(train) [11][2280/2505] lr: 3.5000e-04 eta: 1 day, 9:08:10 time: 1.0660 data_time: 0.0930 memory: 32703 grad_norm: 23.1590 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7291 loss: 1.7291 2022/07/29 19:57:05 - mmengine - INFO - Epoch(train) [11][2300/2505] lr: 3.5000e-04 eta: 1 day, 9:07:43 time: 0.9309 data_time: 0.0303 memory: 32703 grad_norm: 23.7004 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6877 loss: 1.6877 2022/07/29 19:57:24 - mmengine - INFO - Epoch(train) [11][2320/2505] lr: 3.5000e-04 eta: 1 day, 9:07:19 time: 0.9686 data_time: 0.0311 memory: 32703 grad_norm: 24.4808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7424 loss: 1.7424 2022/07/29 19:57:42 - mmengine - INFO - Epoch(train) [11][2340/2505] lr: 3.5000e-04 eta: 1 day, 9:06:49 time: 0.8951 data_time: 0.0266 memory: 32703 grad_norm: 22.7984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5006 loss: 1.5006 2022/07/29 19:58:02 - mmengine - INFO - Epoch(train) [11][2360/2505] lr: 3.5000e-04 eta: 1 day, 9:06:28 time: 1.0051 data_time: 0.0274 memory: 32703 grad_norm: 23.5873 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9072 loss: 1.9072 2022/07/29 19:58:21 - mmengine - INFO - Epoch(train) [11][2380/2505] lr: 3.5000e-04 eta: 1 day, 9:06:02 time: 0.9392 data_time: 0.0321 memory: 32703 grad_norm: 23.1434 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4482 loss: 1.4482 2022/07/29 19:58:42 - mmengine - INFO - Epoch(train) [11][2400/2505] lr: 3.5000e-04 eta: 1 day, 9:05:43 time: 1.0263 data_time: 0.0300 memory: 32703 grad_norm: 23.3656 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5867 loss: 1.5867 2022/07/29 19:59:01 - mmengine - INFO - Epoch(train) [11][2420/2505] lr: 3.5000e-04 eta: 1 day, 9:05:19 time: 0.9649 data_time: 0.0270 memory: 32703 grad_norm: 22.9230 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5785 loss: 1.5785 2022/07/29 19:59:28 - mmengine - INFO - Epoch(train) [11][2440/2505] lr: 3.5000e-04 eta: 1 day, 9:05:30 time: 1.3793 data_time: 0.0774 memory: 32703 grad_norm: 23.9745 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9669 loss: 1.9669 2022/07/29 19:59:52 - mmengine - INFO - Epoch(train) [11][2460/2505] lr: 3.5000e-04 eta: 1 day, 9:05:22 time: 1.1524 data_time: 0.2743 memory: 32703 grad_norm: 24.9732 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4406 loss: 1.4406 2022/07/29 20:00:12 - mmengine - INFO - Epoch(train) [11][2480/2505] lr: 3.5000e-04 eta: 1 day, 9:05:04 time: 1.0395 data_time: 0.0533 memory: 32703 grad_norm: 24.2403 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7807 loss: 1.7807 2022/07/29 20:00:27 - mmengine - INFO - Epoch(train) [11][2500/2505] lr: 3.5000e-04 eta: 1 day, 9:04:22 time: 0.7565 data_time: 0.0276 memory: 32703 grad_norm: 23.0371 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6520 loss: 1.6520 2022/07/29 20:00:30 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 20:00:30 - mmengine - INFO - Epoch(train) [11][2505/2505] lr: 3.5000e-04 eta: 1 day, 9:04:22 time: 0.7439 data_time: 0.0233 memory: 32703 grad_norm: 24.1319 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.6305 loss: 1.6305 2022/07/29 20:00:57 - mmengine - INFO - Epoch(train) [12][20/2505] lr: 3.8000e-04 eta: 1 day, 9:04:03 time: 1.3352 data_time: 0.6910 memory: 32703 grad_norm: 22.4253 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7491 loss: 1.7491 2022/07/29 20:01:16 - mmengine - INFO - Epoch(train) [12][40/2505] lr: 3.8000e-04 eta: 1 day, 9:03:37 time: 0.9505 data_time: 0.3162 memory: 32703 grad_norm: 24.2271 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4009 loss: 1.4009 2022/07/29 20:01:38 - mmengine - INFO - Epoch(train) [12][60/2505] lr: 3.8000e-04 eta: 1 day, 9:03:23 time: 1.0850 data_time: 0.3685 memory: 32703 grad_norm: 25.5048 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5115 loss: 1.5115 2022/07/29 20:01:55 - mmengine - INFO - Epoch(train) [12][80/2505] lr: 3.8000e-04 eta: 1 day, 9:02:52 time: 0.8782 data_time: 0.2636 memory: 32703 grad_norm: 24.5062 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4927 loss: 1.4927 2022/07/29 20:02:20 - mmengine - INFO - Epoch(train) [12][100/2505] lr: 3.8000e-04 eta: 1 day, 9:02:49 time: 1.2162 data_time: 0.5059 memory: 32703 grad_norm: 24.4115 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7240 loss: 1.7240 2022/07/29 20:02:36 - mmengine - INFO - Epoch(train) [12][120/2505] lr: 3.8000e-04 eta: 1 day, 9:02:13 time: 0.8300 data_time: 0.1392 memory: 32703 grad_norm: 24.9568 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6966 loss: 1.6966 2022/07/29 20:02:57 - mmengine - INFO - Epoch(train) [12][140/2505] lr: 3.8000e-04 eta: 1 day, 9:01:55 time: 1.0385 data_time: 0.3812 memory: 32703 grad_norm: 23.8824 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7125 loss: 1.7125 2022/07/29 20:03:16 - mmengine - INFO - Epoch(train) [12][160/2505] lr: 3.8000e-04 eta: 1 day, 9:01:28 time: 0.9227 data_time: 0.2989 memory: 32703 grad_norm: 24.3983 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.6512 loss: 1.6512 2022/07/29 20:03:37 - mmengine - INFO - Epoch(train) [12][180/2505] lr: 3.8000e-04 eta: 1 day, 9:01:11 time: 1.0495 data_time: 0.3255 memory: 32703 grad_norm: 25.4663 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7770 loss: 1.7770 2022/07/29 20:03:56 - mmengine - INFO - Epoch(train) [12][200/2505] lr: 3.8000e-04 eta: 1 day, 9:00:47 time: 0.9682 data_time: 0.2267 memory: 32703 grad_norm: 23.3767 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6324 loss: 1.6324 2022/07/29 20:04:16 - mmengine - INFO - Epoch(train) [12][220/2505] lr: 3.8000e-04 eta: 1 day, 9:00:27 time: 1.0211 data_time: 0.1056 memory: 32703 grad_norm: 23.9926 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.9251 loss: 1.9251 2022/07/29 20:04:36 - mmengine - INFO - Epoch(train) [12][240/2505] lr: 3.8000e-04 eta: 1 day, 9:00:04 time: 0.9762 data_time: 0.1363 memory: 32703 grad_norm: 24.2115 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6581 loss: 1.6581 2022/07/29 20:04:57 - mmengine - INFO - Epoch(train) [12][260/2505] lr: 3.8000e-04 eta: 1 day, 8:59:48 time: 1.0568 data_time: 0.0767 memory: 32703 grad_norm: 23.2859 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4079 loss: 1.4079 2022/07/29 20:05:16 - mmengine - INFO - Epoch(train) [12][280/2505] lr: 3.8000e-04 eta: 1 day, 8:59:22 time: 0.9406 data_time: 0.0747 memory: 32703 grad_norm: 23.9945 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6530 loss: 1.6530 2022/07/29 20:05:35 - mmengine - INFO - Epoch(train) [12][300/2505] lr: 3.8000e-04 eta: 1 day, 8:58:59 time: 0.9831 data_time: 0.0848 memory: 32703 grad_norm: 23.7988 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.7667 loss: 1.7667 2022/07/29 20:05:53 - mmengine - INFO - Epoch(train) [12][320/2505] lr: 3.8000e-04 eta: 1 day, 8:58:29 time: 0.8960 data_time: 0.1201 memory: 32703 grad_norm: 23.4686 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4500 loss: 1.4500 2022/07/29 20:06:17 - mmengine - INFO - Epoch(train) [12][340/2505] lr: 3.8000e-04 eta: 1 day, 8:58:25 time: 1.2033 data_time: 0.4145 memory: 32703 grad_norm: 23.7690 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4307 loss: 1.4307 2022/07/29 20:06:36 - mmengine - INFO - Epoch(train) [12][360/2505] lr: 3.8000e-04 eta: 1 day, 8:57:56 time: 0.9092 data_time: 0.2899 memory: 32703 grad_norm: 24.5579 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5852 loss: 1.5852 2022/07/29 20:06:57 - mmengine - INFO - Epoch(train) [12][380/2505] lr: 3.8000e-04 eta: 1 day, 8:57:39 time: 1.0449 data_time: 0.4396 memory: 32703 grad_norm: 23.8825 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6962 loss: 1.6962 2022/07/29 20:07:15 - mmengine - INFO - Epoch(train) [12][400/2505] lr: 3.8000e-04 eta: 1 day, 8:57:12 time: 0.9359 data_time: 0.3094 memory: 32703 grad_norm: 24.1888 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8332 loss: 1.8332 2022/07/29 20:07:35 - mmengine - INFO - Epoch(train) [12][420/2505] lr: 3.8000e-04 eta: 1 day, 8:56:49 time: 0.9754 data_time: 0.3884 memory: 32703 grad_norm: 23.7404 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7989 loss: 1.7989 2022/07/29 20:07:54 - mmengine - INFO - Epoch(train) [12][440/2505] lr: 3.8000e-04 eta: 1 day, 8:56:25 time: 0.9640 data_time: 0.3364 memory: 32703 grad_norm: 23.9415 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7427 loss: 1.7427 2022/07/29 20:07:59 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 20:08:15 - mmengine - INFO - Epoch(train) [12][460/2505] lr: 3.8000e-04 eta: 1 day, 8:56:07 time: 1.0366 data_time: 0.4362 memory: 32703 grad_norm: 24.1266 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6070 loss: 1.6070 2022/07/29 20:08:32 - mmengine - INFO - Epoch(train) [12][480/2505] lr: 3.8000e-04 eta: 1 day, 8:55:36 time: 0.8788 data_time: 0.2603 memory: 32703 grad_norm: 23.4444 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5789 loss: 1.5789 2022/07/29 20:08:54 - mmengine - INFO - Epoch(train) [12][500/2505] lr: 3.8000e-04 eta: 1 day, 8:55:22 time: 1.0831 data_time: 0.4847 memory: 32703 grad_norm: 23.4478 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6900 loss: 1.6900 2022/07/29 20:09:12 - mmengine - INFO - Epoch(train) [12][520/2505] lr: 3.8000e-04 eta: 1 day, 8:54:52 time: 0.8995 data_time: 0.2665 memory: 32703 grad_norm: 24.3248 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5024 loss: 1.5024 2022/07/29 20:09:36 - mmengine - INFO - Epoch(train) [12][540/2505] lr: 3.8000e-04 eta: 1 day, 8:54:46 time: 1.1841 data_time: 0.5474 memory: 32703 grad_norm: 24.5043 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5843 loss: 1.5843 2022/07/29 20:09:50 - mmengine - INFO - Epoch(train) [12][560/2505] lr: 3.8000e-04 eta: 1 day, 8:54:00 time: 0.7030 data_time: 0.1137 memory: 32703 grad_norm: 22.9245 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8167 loss: 1.8167 2022/07/29 20:10:14 - mmengine - INFO - Epoch(train) [12][580/2505] lr: 3.8000e-04 eta: 1 day, 8:53:58 time: 1.2203 data_time: 0.0328 memory: 32703 grad_norm: 24.7745 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.7727 loss: 1.7727 2022/07/29 20:10:32 - mmengine - INFO - Epoch(train) [12][600/2505] lr: 3.8000e-04 eta: 1 day, 8:53:25 time: 0.8677 data_time: 0.0291 memory: 32703 grad_norm: 24.5712 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7974 loss: 1.7974 2022/07/29 20:10:55 - mmengine - INFO - Epoch(train) [12][620/2505] lr: 3.8000e-04 eta: 1 day, 8:53:19 time: 1.1727 data_time: 0.0281 memory: 32703 grad_norm: 22.5966 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7767 loss: 1.7767 2022/07/29 20:11:14 - mmengine - INFO - Epoch(train) [12][640/2505] lr: 3.8000e-04 eta: 1 day, 8:52:51 time: 0.9252 data_time: 0.0990 memory: 32703 grad_norm: 23.4795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7598 loss: 1.7598 2022/07/29 20:11:34 - mmengine - INFO - Epoch(train) [12][660/2505] lr: 3.8000e-04 eta: 1 day, 8:52:31 time: 1.0139 data_time: 0.1181 memory: 32703 grad_norm: 23.6860 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6905 loss: 1.6905 2022/07/29 20:11:53 - mmengine - INFO - Epoch(train) [12][680/2505] lr: 3.8000e-04 eta: 1 day, 8:52:06 time: 0.9428 data_time: 0.0290 memory: 32703 grad_norm: 23.4221 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5119 loss: 1.5119 2022/07/29 20:12:13 - mmengine - INFO - Epoch(train) [12][700/2505] lr: 3.8000e-04 eta: 1 day, 8:51:46 time: 1.0247 data_time: 0.0662 memory: 32703 grad_norm: 25.2387 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5329 loss: 1.5329 2022/07/29 20:12:31 - mmengine - INFO - Epoch(train) [12][720/2505] lr: 3.8000e-04 eta: 1 day, 8:51:15 time: 0.8712 data_time: 0.0403 memory: 32703 grad_norm: 24.3180 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5444 loss: 1.5444 2022/07/29 20:12:52 - mmengine - INFO - Epoch(train) [12][740/2505] lr: 3.8000e-04 eta: 1 day, 8:51:00 time: 1.0812 data_time: 0.0331 memory: 32703 grad_norm: 23.1081 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5881 loss: 1.5881 2022/07/29 20:13:10 - mmengine - INFO - Epoch(train) [12][760/2505] lr: 3.8000e-04 eta: 1 day, 8:50:29 time: 0.8818 data_time: 0.0547 memory: 32703 grad_norm: 23.6118 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.5925 loss: 1.5925 2022/07/29 20:13:30 - mmengine - INFO - Epoch(train) [12][780/2505] lr: 3.8000e-04 eta: 1 day, 8:50:09 time: 1.0132 data_time: 0.1459 memory: 32703 grad_norm: 24.0530 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6318 loss: 1.6318 2022/07/29 20:13:50 - mmengine - INFO - Epoch(train) [12][800/2505] lr: 3.8000e-04 eta: 1 day, 8:49:46 time: 0.9708 data_time: 0.1721 memory: 32703 grad_norm: 24.1565 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.8357 loss: 1.8357 2022/07/29 20:14:10 - mmengine - INFO - Epoch(train) [12][820/2505] lr: 3.8000e-04 eta: 1 day, 8:49:26 time: 1.0143 data_time: 0.0446 memory: 32703 grad_norm: 24.4779 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7710 loss: 1.7710 2022/07/29 20:14:29 - mmengine - INFO - Epoch(train) [12][840/2505] lr: 3.8000e-04 eta: 1 day, 8:49:00 time: 0.9378 data_time: 0.0534 memory: 32703 grad_norm: 23.4836 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7876 loss: 1.7876 2022/07/29 20:14:49 - mmengine - INFO - Epoch(train) [12][860/2505] lr: 3.8000e-04 eta: 1 day, 8:48:41 time: 1.0275 data_time: 0.0327 memory: 32703 grad_norm: 23.6765 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6085 loss: 1.6085 2022/07/29 20:15:08 - mmengine - INFO - Epoch(train) [12][880/2505] lr: 3.8000e-04 eta: 1 day, 8:48:16 time: 0.9526 data_time: 0.0338 memory: 32703 grad_norm: 23.0567 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6558 loss: 1.6558 2022/07/29 20:15:29 - mmengine - INFO - Epoch(train) [12][900/2505] lr: 3.8000e-04 eta: 1 day, 8:47:56 time: 1.0171 data_time: 0.0281 memory: 32703 grad_norm: 23.3534 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6058 loss: 1.6058 2022/07/29 20:15:48 - mmengine - INFO - Epoch(train) [12][920/2505] lr: 3.8000e-04 eta: 1 day, 8:47:34 time: 0.9799 data_time: 0.0365 memory: 32703 grad_norm: 24.6844 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5295 loss: 1.5295 2022/07/29 20:16:13 - mmengine - INFO - Epoch(train) [12][940/2505] lr: 3.8000e-04 eta: 1 day, 8:47:34 time: 1.2588 data_time: 0.2129 memory: 32703 grad_norm: 22.5031 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7902 loss: 1.7902 2022/07/29 20:16:29 - mmengine - INFO - Epoch(train) [12][960/2505] lr: 3.8000e-04 eta: 1 day, 8:46:57 time: 0.8101 data_time: 0.0274 memory: 32703 grad_norm: 23.3326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7744 loss: 1.7744 2022/07/29 20:16:52 - mmengine - INFO - Epoch(train) [12][980/2505] lr: 3.8000e-04 eta: 1 day, 8:46:47 time: 1.1366 data_time: 0.0424 memory: 32703 grad_norm: 23.0515 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4948 loss: 1.4948 2022/07/29 20:17:10 - mmengine - INFO - Epoch(train) [12][1000/2505] lr: 3.8000e-04 eta: 1 day, 8:46:16 time: 0.8816 data_time: 0.0567 memory: 32703 grad_norm: 24.2308 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5581 loss: 1.5581 2022/07/29 20:17:29 - mmengine - INFO - Epoch(train) [12][1020/2505] lr: 3.8000e-04 eta: 1 day, 8:45:51 time: 0.9452 data_time: 0.0339 memory: 32703 grad_norm: 24.0895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5662 loss: 1.5662 2022/07/29 20:17:55 - mmengine - INFO - Epoch(train) [12][1040/2505] lr: 3.8000e-04 eta: 1 day, 8:45:53 time: 1.2901 data_time: 0.1443 memory: 32703 grad_norm: 24.8182 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5666 loss: 1.5666 2022/07/29 20:18:18 - mmengine - INFO - Epoch(train) [12][1060/2505] lr: 3.8000e-04 eta: 1 day, 8:45:48 time: 1.1927 data_time: 0.5385 memory: 32703 grad_norm: 23.6588 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3693 loss: 1.3693 2022/07/29 20:18:34 - mmengine - INFO - Epoch(train) [12][1080/2505] lr: 3.8000e-04 eta: 1 day, 8:45:07 time: 0.7564 data_time: 0.1613 memory: 32703 grad_norm: 23.8284 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6611 loss: 1.6611 2022/07/29 20:18:55 - mmengine - INFO - Epoch(train) [12][1100/2505] lr: 3.8000e-04 eta: 1 day, 8:44:52 time: 1.0779 data_time: 0.3630 memory: 32703 grad_norm: 23.7945 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5771 loss: 1.5771 2022/07/29 20:19:13 - mmengine - INFO - Epoch(train) [12][1120/2505] lr: 3.8000e-04 eta: 1 day, 8:44:23 time: 0.8999 data_time: 0.2582 memory: 32703 grad_norm: 23.6449 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8143 loss: 1.8143 2022/07/29 20:19:34 - mmengine - INFO - Epoch(train) [12][1140/2505] lr: 3.8000e-04 eta: 1 day, 8:44:07 time: 1.0618 data_time: 0.3205 memory: 32703 grad_norm: 23.7446 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4516 loss: 1.4516 2022/07/29 20:19:53 - mmengine - INFO - Epoch(train) [12][1160/2505] lr: 3.8000e-04 eta: 1 day, 8:43:42 time: 0.9531 data_time: 0.2208 memory: 32703 grad_norm: 24.3014 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6817 loss: 1.6817 2022/07/29 20:20:14 - mmengine - INFO - Epoch(train) [12][1180/2505] lr: 3.8000e-04 eta: 1 day, 8:43:25 time: 1.0499 data_time: 0.0943 memory: 32703 grad_norm: 23.6351 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6271 loss: 1.6271 2022/07/29 20:20:34 - mmengine - INFO - Epoch(train) [12][1200/2505] lr: 3.8000e-04 eta: 1 day, 8:43:04 time: 1.0035 data_time: 0.0266 memory: 32703 grad_norm: 22.2155 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5831 loss: 1.5831 2022/07/29 20:20:54 - mmengine - INFO - Epoch(train) [12][1220/2505] lr: 3.8000e-04 eta: 1 day, 8:42:39 time: 0.9536 data_time: 0.0323 memory: 32703 grad_norm: 23.2132 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5401 loss: 1.5401 2022/07/29 20:21:14 - mmengine - INFO - Epoch(train) [12][1240/2505] lr: 3.8000e-04 eta: 1 day, 8:42:22 time: 1.0393 data_time: 0.0340 memory: 32703 grad_norm: 24.4149 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7440 loss: 1.7440 2022/07/29 20:21:32 - mmengine - INFO - Epoch(train) [12][1260/2505] lr: 3.8000e-04 eta: 1 day, 8:41:51 time: 0.8834 data_time: 0.0284 memory: 32703 grad_norm: 22.8489 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5835 loss: 1.5835 2022/07/29 20:21:54 - mmengine - INFO - Epoch(train) [12][1280/2505] lr: 3.8000e-04 eta: 1 day, 8:41:38 time: 1.0941 data_time: 0.0264 memory: 32703 grad_norm: 22.4193 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6003 loss: 1.6003 2022/07/29 20:22:12 - mmengine - INFO - Epoch(train) [12][1300/2505] lr: 3.8000e-04 eta: 1 day, 8:41:10 time: 0.9247 data_time: 0.0290 memory: 32703 grad_norm: 23.4197 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6698 loss: 1.6698 2022/07/29 20:22:33 - mmengine - INFO - Epoch(train) [12][1320/2505] lr: 3.8000e-04 eta: 1 day, 8:40:53 time: 1.0469 data_time: 0.0298 memory: 32703 grad_norm: 22.9997 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6870 loss: 1.6870 2022/07/29 20:22:55 - mmengine - INFO - Epoch(train) [12][1340/2505] lr: 3.8000e-04 eta: 1 day, 8:40:38 time: 1.0742 data_time: 0.0291 memory: 32703 grad_norm: 23.4137 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6852 loss: 1.6852 2022/07/29 20:23:15 - mmengine - INFO - Epoch(train) [12][1360/2505] lr: 3.8000e-04 eta: 1 day, 8:40:19 time: 1.0317 data_time: 0.0339 memory: 32703 grad_norm: 22.5735 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6239 loss: 1.6239 2022/07/29 20:23:32 - mmengine - INFO - Epoch(train) [12][1380/2505] lr: 3.8000e-04 eta: 1 day, 8:39:43 time: 0.8133 data_time: 0.0268 memory: 32703 grad_norm: 23.7496 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6263 loss: 1.6263 2022/07/29 20:23:54 - mmengine - INFO - Epoch(train) [12][1400/2505] lr: 3.8000e-04 eta: 1 day, 8:39:33 time: 1.1266 data_time: 0.0276 memory: 32703 grad_norm: 23.7992 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6055 loss: 1.6055 2022/07/29 20:24:12 - mmengine - INFO - Epoch(train) [12][1420/2505] lr: 3.8000e-04 eta: 1 day, 8:39:01 time: 0.8713 data_time: 0.0261 memory: 32703 grad_norm: 22.3613 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6564 loss: 1.6564 2022/07/29 20:24:33 - mmengine - INFO - Epoch(train) [12][1440/2505] lr: 3.8000e-04 eta: 1 day, 8:38:46 time: 1.0757 data_time: 0.0279 memory: 32703 grad_norm: 24.5118 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6353 loss: 1.6353 2022/07/29 20:24:36 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 20:24:53 - mmengine - INFO - Epoch(train) [12][1460/2505] lr: 3.8000e-04 eta: 1 day, 8:38:23 time: 0.9692 data_time: 0.0275 memory: 32703 grad_norm: 24.4353 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7265 loss: 1.7265 2022/07/29 20:25:14 - mmengine - INFO - Epoch(train) [12][1480/2505] lr: 3.8000e-04 eta: 1 day, 8:38:07 time: 1.0732 data_time: 0.0260 memory: 32703 grad_norm: 23.0858 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5956 loss: 1.5956 2022/07/29 20:25:36 - mmengine - INFO - Epoch(train) [12][1500/2505] lr: 3.8000e-04 eta: 1 day, 8:37:55 time: 1.1057 data_time: 0.0293 memory: 32703 grad_norm: 23.7230 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4535 loss: 1.4535 2022/07/29 20:25:51 - mmengine - INFO - Epoch(train) [12][1520/2505] lr: 3.8000e-04 eta: 1 day, 8:37:14 time: 0.7501 data_time: 0.0441 memory: 32703 grad_norm: 22.3710 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5516 loss: 1.5516 2022/07/29 20:26:10 - mmengine - INFO - Epoch(train) [12][1540/2505] lr: 3.8000e-04 eta: 1 day, 8:36:46 time: 0.9118 data_time: 0.0343 memory: 32703 grad_norm: 22.5053 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7110 loss: 1.7110 2022/07/29 20:26:31 - mmengine - INFO - Epoch(train) [12][1560/2505] lr: 3.8000e-04 eta: 1 day, 8:36:32 time: 1.0914 data_time: 0.2327 memory: 32703 grad_norm: 24.0081 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5752 loss: 1.5752 2022/07/29 20:26:49 - mmengine - INFO - Epoch(train) [12][1580/2505] lr: 3.8000e-04 eta: 1 day, 8:36:02 time: 0.8926 data_time: 0.0710 memory: 32703 grad_norm: 23.1323 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4989 loss: 1.4989 2022/07/29 20:27:10 - mmengine - INFO - Epoch(train) [12][1600/2505] lr: 3.8000e-04 eta: 1 day, 8:35:46 time: 1.0656 data_time: 0.2236 memory: 32703 grad_norm: 23.6717 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8140 loss: 1.8140 2022/07/29 20:27:28 - mmengine - INFO - Epoch(train) [12][1620/2505] lr: 3.8000e-04 eta: 1 day, 8:35:18 time: 0.9022 data_time: 0.2280 memory: 32703 grad_norm: 22.9827 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6471 loss: 1.6471 2022/07/29 20:27:50 - mmengine - INFO - Epoch(train) [12][1640/2505] lr: 3.8000e-04 eta: 1 day, 8:35:02 time: 1.0630 data_time: 0.2298 memory: 32703 grad_norm: 23.4644 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6987 loss: 1.6987 2022/07/29 20:28:08 - mmengine - INFO - Epoch(train) [12][1660/2505] lr: 3.8000e-04 eta: 1 day, 8:34:35 time: 0.9235 data_time: 0.1481 memory: 32703 grad_norm: 23.9933 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.6548 loss: 1.6548 2022/07/29 20:28:31 - mmengine - INFO - Epoch(train) [12][1680/2505] lr: 3.8000e-04 eta: 1 day, 8:34:23 time: 1.1166 data_time: 0.2919 memory: 32703 grad_norm: 22.5684 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9585 loss: 1.9585 2022/07/29 20:28:49 - mmengine - INFO - Epoch(train) [12][1700/2505] lr: 3.8000e-04 eta: 1 day, 8:33:55 time: 0.9150 data_time: 0.2008 memory: 32703 grad_norm: 23.7845 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7397 loss: 1.7397 2022/07/29 20:29:09 - mmengine - INFO - Epoch(train) [12][1720/2505] lr: 3.8000e-04 eta: 1 day, 8:33:35 time: 1.0073 data_time: 0.1431 memory: 32703 grad_norm: 24.3308 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4534 loss: 1.4534 2022/07/29 20:29:28 - mmengine - INFO - Epoch(train) [12][1740/2505] lr: 3.8000e-04 eta: 1 day, 8:33:10 time: 0.9523 data_time: 0.0371 memory: 32703 grad_norm: 23.5617 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5745 loss: 1.5745 2022/07/29 20:29:50 - mmengine - INFO - Epoch(train) [12][1760/2505] lr: 3.8000e-04 eta: 1 day, 8:32:55 time: 1.0843 data_time: 0.0267 memory: 32703 grad_norm: 23.6132 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6291 loss: 1.6291 2022/07/29 20:30:09 - mmengine - INFO - Epoch(train) [12][1780/2505] lr: 3.8000e-04 eta: 1 day, 8:32:30 time: 0.9457 data_time: 0.0287 memory: 32703 grad_norm: 23.1403 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.8070 loss: 1.8070 2022/07/29 20:30:29 - mmengine - INFO - Epoch(train) [12][1800/2505] lr: 3.8000e-04 eta: 1 day, 8:32:08 time: 0.9928 data_time: 0.0257 memory: 32703 grad_norm: 23.3874 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5244 loss: 1.5244 2022/07/29 20:30:47 - mmengine - INFO - Epoch(train) [12][1820/2505] lr: 3.8000e-04 eta: 1 day, 8:31:43 time: 0.9436 data_time: 0.0353 memory: 32703 grad_norm: 24.0947 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7055 loss: 1.7055 2022/07/29 20:31:07 - mmengine - INFO - Epoch(train) [12][1840/2505] lr: 3.8000e-04 eta: 1 day, 8:31:21 time: 0.9859 data_time: 0.0364 memory: 32703 grad_norm: 23.4975 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4089 loss: 1.4089 2022/07/29 20:31:26 - mmengine - INFO - Epoch(train) [12][1860/2505] lr: 3.8000e-04 eta: 1 day, 8:30:56 time: 0.9550 data_time: 0.0279 memory: 32703 grad_norm: 22.8273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7057 loss: 1.7057 2022/07/29 20:31:51 - mmengine - INFO - Epoch(train) [12][1880/2505] lr: 3.8000e-04 eta: 1 day, 8:30:56 time: 1.2591 data_time: 0.0339 memory: 32703 grad_norm: 23.1246 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5319 loss: 1.5319 2022/07/29 20:32:09 - mmengine - INFO - Epoch(train) [12][1900/2505] lr: 3.8000e-04 eta: 1 day, 8:30:25 time: 0.8821 data_time: 0.0339 memory: 32703 grad_norm: 24.0019 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7650 loss: 1.7650 2022/07/29 20:32:29 - mmengine - INFO - Epoch(train) [12][1920/2505] lr: 3.8000e-04 eta: 1 day, 8:30:06 time: 1.0166 data_time: 0.0318 memory: 32703 grad_norm: 23.9329 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6267 loss: 1.6267 2022/07/29 20:32:48 - mmengine - INFO - Epoch(train) [12][1940/2505] lr: 3.8000e-04 eta: 1 day, 8:29:41 time: 0.9506 data_time: 0.0303 memory: 32703 grad_norm: 22.8862 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7034 loss: 1.7034 2022/07/29 20:33:09 - mmengine - INFO - Epoch(train) [12][1960/2505] lr: 3.8000e-04 eta: 1 day, 8:29:23 time: 1.0437 data_time: 0.0332 memory: 32703 grad_norm: 23.5459 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4587 loss: 1.4587 2022/07/29 20:33:28 - mmengine - INFO - Epoch(train) [12][1980/2505] lr: 3.8000e-04 eta: 1 day, 8:28:57 time: 0.9284 data_time: 0.1490 memory: 32703 grad_norm: 23.8064 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5480 loss: 1.5480 2022/07/29 20:33:45 - mmengine - INFO - Epoch(train) [12][2000/2505] lr: 3.8000e-04 eta: 1 day, 8:28:27 time: 0.8843 data_time: 0.1870 memory: 32703 grad_norm: 23.6315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0212 loss: 2.0212 2022/07/29 20:34:06 - mmengine - INFO - Epoch(train) [12][2020/2505] lr: 3.8000e-04 eta: 1 day, 8:28:07 time: 1.0130 data_time: 0.1061 memory: 32703 grad_norm: 23.8153 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6839 loss: 1.6839 2022/07/29 20:34:24 - mmengine - INFO - Epoch(train) [12][2040/2505] lr: 3.8000e-04 eta: 1 day, 8:27:40 time: 0.9314 data_time: 0.2915 memory: 32703 grad_norm: 23.6034 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7071 loss: 1.7071 2022/07/29 20:34:44 - mmengine - INFO - Epoch(train) [12][2060/2505] lr: 3.8000e-04 eta: 1 day, 8:27:19 time: 0.9940 data_time: 0.3086 memory: 32703 grad_norm: 23.6213 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4995 loss: 1.4995 2022/07/29 20:35:04 - mmengine - INFO - Epoch(train) [12][2080/2505] lr: 3.8000e-04 eta: 1 day, 8:26:56 time: 0.9828 data_time: 0.1222 memory: 32703 grad_norm: 22.8827 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5962 loss: 1.5962 2022/07/29 20:35:26 - mmengine - INFO - Epoch(train) [12][2100/2505] lr: 3.8000e-04 eta: 1 day, 8:26:42 time: 1.0896 data_time: 0.4713 memory: 32703 grad_norm: 23.9328 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7203 loss: 1.7203 2022/07/29 20:35:43 - mmengine - INFO - Epoch(train) [12][2120/2505] lr: 3.8000e-04 eta: 1 day, 8:26:12 time: 0.8824 data_time: 0.2674 memory: 32703 grad_norm: 23.1318 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7093 loss: 1.7093 2022/07/29 20:36:05 - mmengine - INFO - Epoch(train) [12][2140/2505] lr: 3.8000e-04 eta: 1 day, 8:25:59 time: 1.0972 data_time: 0.4848 memory: 32703 grad_norm: 22.4905 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7497 loss: 1.7497 2022/07/29 20:36:24 - mmengine - INFO - Epoch(train) [12][2160/2505] lr: 3.8000e-04 eta: 1 day, 8:25:31 time: 0.9160 data_time: 0.3003 memory: 32703 grad_norm: 21.9557 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6731 loss: 1.6731 2022/07/29 20:36:45 - mmengine - INFO - Epoch(train) [12][2180/2505] lr: 3.8000e-04 eta: 1 day, 8:25:14 time: 1.0482 data_time: 0.4342 memory: 32703 grad_norm: 23.1709 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6590 loss: 1.6590 2022/07/29 20:37:03 - mmengine - INFO - Epoch(train) [12][2200/2505] lr: 3.8000e-04 eta: 1 day, 8:24:46 time: 0.9036 data_time: 0.2792 memory: 32703 grad_norm: 22.6317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6370 loss: 1.6370 2022/07/29 20:37:24 - mmengine - INFO - Epoch(train) [12][2220/2505] lr: 3.8000e-04 eta: 1 day, 8:24:30 time: 1.0648 data_time: 0.4371 memory: 32703 grad_norm: 22.8549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6128 loss: 1.6128 2022/07/29 20:37:43 - mmengine - INFO - Epoch(train) [12][2240/2505] lr: 3.8000e-04 eta: 1 day, 8:24:03 time: 0.9325 data_time: 0.3205 memory: 32703 grad_norm: 22.6199 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4935 loss: 1.4935 2022/07/29 20:38:03 - mmengine - INFO - Epoch(train) [12][2260/2505] lr: 3.8000e-04 eta: 1 day, 8:23:43 time: 1.0069 data_time: 0.3369 memory: 32703 grad_norm: 22.9923 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6053 loss: 1.6053 2022/07/29 20:38:21 - mmengine - INFO - Epoch(train) [12][2280/2505] lr: 3.8000e-04 eta: 1 day, 8:23:15 time: 0.9112 data_time: 0.2471 memory: 32703 grad_norm: 24.0711 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7280 loss: 1.7280 2022/07/29 20:38:41 - mmengine - INFO - Epoch(train) [12][2300/2505] lr: 3.8000e-04 eta: 1 day, 8:22:56 time: 1.0234 data_time: 0.4240 memory: 32703 grad_norm: 23.3023 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6259 loss: 1.6259 2022/07/29 20:39:03 - mmengine - INFO - Epoch(train) [12][2320/2505] lr: 3.8000e-04 eta: 1 day, 8:22:40 time: 1.0608 data_time: 0.2377 memory: 32703 grad_norm: 23.9821 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7939 loss: 1.7939 2022/07/29 20:39:24 - mmengine - INFO - Epoch(train) [12][2340/2505] lr: 3.8000e-04 eta: 1 day, 8:22:24 time: 1.0693 data_time: 0.0306 memory: 32703 grad_norm: 22.9577 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.4852 loss: 1.4852 2022/07/29 20:39:42 - mmengine - INFO - Epoch(train) [12][2360/2505] lr: 3.8000e-04 eta: 1 day, 8:21:55 time: 0.8963 data_time: 0.0615 memory: 32703 grad_norm: 22.7273 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4577 loss: 1.4577 2022/07/29 20:40:02 - mmengine - INFO - Epoch(train) [12][2380/2505] lr: 3.8000e-04 eta: 1 day, 8:21:34 time: 0.9977 data_time: 0.0450 memory: 32703 grad_norm: 22.9985 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7879 loss: 1.7879 2022/07/29 20:40:24 - mmengine - INFO - Epoch(train) [12][2400/2505] lr: 3.8000e-04 eta: 1 day, 8:21:19 time: 1.0830 data_time: 0.1240 memory: 32703 grad_norm: 23.5748 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7115 loss: 1.7115 2022/07/29 20:40:44 - mmengine - INFO - Epoch(train) [12][2420/2505] lr: 3.8000e-04 eta: 1 day, 8:21:01 time: 1.0291 data_time: 0.0318 memory: 32703 grad_norm: 23.0950 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.7012 loss: 1.7012 2022/07/29 20:41:03 - mmengine - INFO - Epoch(train) [12][2440/2505] lr: 3.8000e-04 eta: 1 day, 8:20:34 time: 0.9301 data_time: 0.0274 memory: 32703 grad_norm: 22.5845 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6551 loss: 1.6551 2022/07/29 20:41:08 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 20:41:25 - mmengine - INFO - Epoch(train) [12][2460/2505] lr: 3.8000e-04 eta: 1 day, 8:20:22 time: 1.1083 data_time: 0.0339 memory: 32703 grad_norm: 23.1059 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4796 loss: 1.4796 2022/07/29 20:41:43 - mmengine - INFO - Epoch(train) [12][2480/2505] lr: 3.8000e-04 eta: 1 day, 8:19:52 time: 0.8904 data_time: 0.0262 memory: 32703 grad_norm: 23.2974 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4343 loss: 1.4343 2022/07/29 20:42:00 - mmengine - INFO - Epoch(train) [12][2500/2505] lr: 3.8000e-04 eta: 1 day, 8:19:20 time: 0.8521 data_time: 0.0253 memory: 32703 grad_norm: 23.8671 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4436 loss: 1.4436 2022/07/29 20:42:03 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 20:42:03 - mmengine - INFO - Epoch(train) [12][2505/2505] lr: 3.8000e-04 eta: 1 day, 8:19:20 time: 0.7521 data_time: 0.0172 memory: 32703 grad_norm: 24.0930 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5060 loss: 1.5060 2022/07/29 20:42:03 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/07/29 20:42:06 - mmengine - INFO - Epoch(val) [12][20/2475] eta: 0:04:15 time: 0.1041 data_time: 0.0741 memory: 817 2022/07/29 20:42:08 - mmengine - INFO - Epoch(val) [12][40/2475] eta: 0:03:06 time: 0.0767 data_time: 0.0475 memory: 817 2022/07/29 20:42:09 - mmengine - INFO - Epoch(val) [12][60/2475] eta: 0:02:50 time: 0.0708 data_time: 0.0441 memory: 817 2022/07/29 20:42:11 - mmengine - INFO - Epoch(val) [12][80/2475] eta: 0:03:29 time: 0.0874 data_time: 0.0593 memory: 817 2022/07/29 20:42:13 - mmengine - INFO - Epoch(val) [12][100/2475] eta: 0:03:31 time: 0.0890 data_time: 0.0630 memory: 817 2022/07/29 20:42:14 - mmengine - INFO - Epoch(val) [12][120/2475] eta: 0:02:26 time: 0.0620 data_time: 0.0313 memory: 817 2022/07/29 20:42:16 - mmengine - INFO - Epoch(val) [12][140/2475] eta: 0:03:40 time: 0.0946 data_time: 0.0670 memory: 817 2022/07/29 20:42:18 - mmengine - INFO - Epoch(val) [12][160/2475] eta: 0:03:26 time: 0.0894 data_time: 0.0619 memory: 817 2022/07/29 20:42:19 - mmengine - INFO - Epoch(val) [12][180/2475] eta: 0:03:12 time: 0.0838 data_time: 0.0580 memory: 817 2022/07/29 20:42:21 - mmengine - INFO - Epoch(val) [12][200/2475] eta: 0:03:23 time: 0.0894 data_time: 0.0626 memory: 817 2022/07/29 20:42:23 - mmengine - INFO - Epoch(val) [12][220/2475] eta: 0:02:28 time: 0.0659 data_time: 0.0390 memory: 817 2022/07/29 20:42:25 - mmengine - INFO - Epoch(val) [12][240/2475] eta: 0:03:59 time: 0.1071 data_time: 0.0548 memory: 817 2022/07/29 20:42:26 - mmengine - INFO - Epoch(val) [12][260/2475] eta: 0:02:24 time: 0.0653 data_time: 0.0380 memory: 817 2022/07/29 20:42:28 - mmengine - INFO - Epoch(val) [12][280/2475] eta: 0:03:14 time: 0.0884 data_time: 0.0612 memory: 817 2022/07/29 20:42:29 - mmengine - INFO - Epoch(val) [12][300/2475] eta: 0:02:24 time: 0.0666 data_time: 0.0401 memory: 817 2022/07/29 20:42:31 - mmengine - INFO - Epoch(val) [12][320/2475] eta: 0:03:27 time: 0.0962 data_time: 0.0688 memory: 817 2022/07/29 20:42:32 - mmengine - INFO - Epoch(val) [12][340/2475] eta: 0:02:30 time: 0.0705 data_time: 0.0430 memory: 817 2022/07/29 20:42:34 - mmengine - INFO - Epoch(val) [12][360/2475] eta: 0:02:49 time: 0.0800 data_time: 0.0526 memory: 817 2022/07/29 20:42:36 - mmengine - INFO - Epoch(val) [12][380/2475] eta: 0:02:52 time: 0.0823 data_time: 0.0566 memory: 817 2022/07/29 20:42:37 - mmengine - INFO - Epoch(val) [12][400/2475] eta: 0:02:54 time: 0.0842 data_time: 0.0573 memory: 817 2022/07/29 20:42:39 - mmengine - INFO - Epoch(val) [12][420/2475] eta: 0:02:31 time: 0.0737 data_time: 0.0450 memory: 817 2022/07/29 20:42:41 - mmengine - INFO - Epoch(val) [12][440/2475] eta: 0:02:48 time: 0.0830 data_time: 0.0560 memory: 817 2022/07/29 20:42:42 - mmengine - INFO - Epoch(val) [12][460/2475] eta: 0:02:27 time: 0.0731 data_time: 0.0465 memory: 817 2022/07/29 20:42:44 - mmengine - INFO - Epoch(val) [12][480/2475] eta: 0:03:17 time: 0.0991 data_time: 0.0557 memory: 817 2022/07/29 20:42:46 - mmengine - INFO - Epoch(val) [12][500/2475] eta: 0:02:42 time: 0.0825 data_time: 0.0538 memory: 817 2022/07/29 20:42:47 - mmengine - INFO - Epoch(val) [12][520/2475] eta: 0:02:42 time: 0.0832 data_time: 0.0560 memory: 817 2022/07/29 20:42:49 - mmengine - INFO - Epoch(val) [12][540/2475] eta: 0:02:13 time: 0.0692 data_time: 0.0414 memory: 817 2022/07/29 20:42:50 - mmengine - INFO - Epoch(val) [12][560/2475] eta: 0:02:47 time: 0.0876 data_time: 0.0598 memory: 817 2022/07/29 20:42:52 - mmengine - INFO - Epoch(val) [12][580/2475] eta: 0:02:25 time: 0.0769 data_time: 0.0476 memory: 817 2022/07/29 20:42:54 - mmengine - INFO - Epoch(val) [12][600/2475] eta: 0:02:29 time: 0.0796 data_time: 0.0521 memory: 817 2022/07/29 20:42:55 - mmengine - INFO - Epoch(val) [12][620/2475] eta: 0:02:20 time: 0.0759 data_time: 0.0484 memory: 817 2022/07/29 20:42:57 - mmengine - INFO - Epoch(val) [12][640/2475] eta: 0:02:21 time: 0.0773 data_time: 0.0496 memory: 817 2022/07/29 20:42:59 - mmengine - INFO - Epoch(val) [12][660/2475] eta: 0:03:04 time: 0.1016 data_time: 0.0722 memory: 817 2022/07/29 20:43:00 - mmengine - INFO - Epoch(val) [12][680/2475] eta: 0:02:16 time: 0.0760 data_time: 0.0459 memory: 817 2022/07/29 20:43:02 - mmengine - INFO - Epoch(val) [12][700/2475] eta: 0:02:21 time: 0.0795 data_time: 0.0502 memory: 817 2022/07/29 20:43:04 - mmengine - INFO - Epoch(val) [12][720/2475] eta: 0:02:58 time: 0.1017 data_time: 0.0427 memory: 817 2022/07/29 20:43:05 - mmengine - INFO - Epoch(val) [12][740/2475] eta: 0:02:03 time: 0.0712 data_time: 0.0395 memory: 817 2022/07/29 20:43:07 - mmengine - INFO - Epoch(val) [12][760/2475] eta: 0:02:24 time: 0.0845 data_time: 0.0563 memory: 817 2022/07/29 20:43:08 - mmengine - INFO - Epoch(val) [12][780/2475] eta: 0:02:04 time: 0.0734 data_time: 0.0463 memory: 817 2022/07/29 20:43:10 - mmengine - INFO - Epoch(val) [12][800/2475] eta: 0:02:15 time: 0.0811 data_time: 0.0532 memory: 817 2022/07/29 20:43:12 - mmengine - INFO - Epoch(val) [12][820/2475] eta: 0:02:25 time: 0.0879 data_time: 0.0614 memory: 817 2022/07/29 20:43:13 - mmengine - INFO - Epoch(val) [12][840/2475] eta: 0:02:09 time: 0.0792 data_time: 0.0518 memory: 817 2022/07/29 20:43:15 - mmengine - INFO - Epoch(val) [12][860/2475] eta: 0:01:44 time: 0.0649 data_time: 0.0358 memory: 817 2022/07/29 20:43:17 - mmengine - INFO - Epoch(val) [12][880/2475] eta: 0:02:31 time: 0.0952 data_time: 0.0651 memory: 817 2022/07/29 20:43:18 - mmengine - INFO - Epoch(val) [12][900/2475] eta: 0:01:59 time: 0.0760 data_time: 0.0484 memory: 817 2022/07/29 20:43:20 - mmengine - INFO - Epoch(val) [12][920/2475] eta: 0:02:23 time: 0.0923 data_time: 0.0646 memory: 817 2022/07/29 20:43:21 - mmengine - INFO - Epoch(val) [12][940/2475] eta: 0:01:57 time: 0.0767 data_time: 0.0499 memory: 817 2022/07/29 20:43:23 - mmengine - INFO - Epoch(val) [12][960/2475] eta: 0:02:20 time: 0.0930 data_time: 0.0643 memory: 817 2022/07/29 20:43:24 - mmengine - INFO - Epoch(val) [12][980/2475] eta: 0:01:22 time: 0.0549 data_time: 0.0235 memory: 817 2022/07/29 20:43:26 - mmengine - INFO - Epoch(val) [12][1000/2475] eta: 0:02:06 time: 0.0856 data_time: 0.0587 memory: 817 2022/07/29 20:43:28 - mmengine - INFO - Epoch(val) [12][1020/2475] eta: 0:01:51 time: 0.0768 data_time: 0.0480 memory: 817 2022/07/29 20:43:29 - mmengine - INFO - Epoch(val) [12][1040/2475] eta: 0:01:51 time: 0.0779 data_time: 0.0464 memory: 817 2022/07/29 20:43:31 - mmengine - INFO - Epoch(val) [12][1060/2475] eta: 0:02:08 time: 0.0911 data_time: 0.0630 memory: 817 2022/07/29 20:43:33 - mmengine - INFO - Epoch(val) [12][1080/2475] eta: 0:01:43 time: 0.0745 data_time: 0.0473 memory: 817 2022/07/29 20:43:34 - mmengine - INFO - Epoch(val) [12][1100/2475] eta: 0:02:02 time: 0.0890 data_time: 0.0617 memory: 817 2022/07/29 20:43:36 - mmengine - INFO - Epoch(val) [12][1120/2475] eta: 0:01:51 time: 0.0823 data_time: 0.0554 memory: 817 2022/07/29 20:43:38 - mmengine - INFO - Epoch(val) [12][1140/2475] eta: 0:02:02 time: 0.0917 data_time: 0.0650 memory: 817 2022/07/29 20:43:40 - mmengine - INFO - Epoch(val) [12][1160/2475] eta: 0:01:53 time: 0.0861 data_time: 0.0590 memory: 817 2022/07/29 20:43:41 - mmengine - INFO - Epoch(val) [12][1180/2475] eta: 0:01:38 time: 0.0764 data_time: 0.0492 memory: 817 2022/07/29 20:43:43 - mmengine - INFO - Epoch(val) [12][1200/2475] eta: 0:01:53 time: 0.0893 data_time: 0.0613 memory: 817 2022/07/29 20:43:44 - mmengine - INFO - Epoch(val) [12][1220/2475] eta: 0:01:34 time: 0.0751 data_time: 0.0074 memory: 817 2022/07/29 20:43:47 - mmengine - INFO - Epoch(val) [12][1240/2475] eta: 0:02:15 time: 0.1097 data_time: 0.0826 memory: 817 2022/07/29 20:43:49 - mmengine - INFO - Epoch(val) [12][1260/2475] eta: 0:02:02 time: 0.1007 data_time: 0.0751 memory: 817 2022/07/29 20:43:50 - mmengine - INFO - Epoch(val) [12][1280/2475] eta: 0:01:17 time: 0.0649 data_time: 0.0387 memory: 817 2022/07/29 20:43:51 - mmengine - INFO - Epoch(val) [12][1300/2475] eta: 0:01:15 time: 0.0642 data_time: 0.0365 memory: 817 2022/07/29 20:43:53 - mmengine - INFO - Epoch(val) [12][1320/2475] eta: 0:01:25 time: 0.0744 data_time: 0.0474 memory: 817 2022/07/29 20:43:54 - mmengine - INFO - Epoch(val) [12][1340/2475] eta: 0:01:34 time: 0.0830 data_time: 0.0561 memory: 817 2022/07/29 20:43:56 - mmengine - INFO - Epoch(val) [12][1360/2475] eta: 0:01:37 time: 0.0871 data_time: 0.0604 memory: 817 2022/07/29 20:43:58 - mmengine - INFO - Epoch(val) [12][1380/2475] eta: 0:01:24 time: 0.0769 data_time: 0.0513 memory: 817 2022/07/29 20:43:59 - mmengine - INFO - Epoch(val) [12][1400/2475] eta: 0:01:32 time: 0.0859 data_time: 0.0601 memory: 817 2022/07/29 20:44:01 - mmengine - INFO - Epoch(val) [12][1420/2475] eta: 0:01:22 time: 0.0786 data_time: 0.0512 memory: 817 2022/07/29 20:44:03 - mmengine - INFO - Epoch(val) [12][1440/2475] eta: 0:01:34 time: 0.0913 data_time: 0.0631 memory: 817 2022/07/29 20:44:04 - mmengine - INFO - Epoch(val) [12][1460/2475] eta: 0:01:12 time: 0.0714 data_time: 0.0402 memory: 817 2022/07/29 20:44:06 - mmengine - INFO - Epoch(val) [12][1480/2475] eta: 0:01:29 time: 0.0903 data_time: 0.0633 memory: 817 2022/07/29 20:44:07 - mmengine - INFO - Epoch(val) [12][1500/2475] eta: 0:01:00 time: 0.0622 data_time: 0.0356 memory: 817 2022/07/29 20:44:09 - mmengine - INFO - Epoch(val) [12][1520/2475] eta: 0:01:09 time: 0.0725 data_time: 0.0459 memory: 817 2022/07/29 20:44:11 - mmengine - INFO - Epoch(val) [12][1540/2475] eta: 0:01:25 time: 0.0916 data_time: 0.0648 memory: 817 2022/07/29 20:44:12 - mmengine - INFO - Epoch(val) [12][1560/2475] eta: 0:01:18 time: 0.0855 data_time: 0.0579 memory: 817 2022/07/29 20:44:14 - mmengine - INFO - Epoch(val) [12][1580/2475] eta: 0:01:12 time: 0.0811 data_time: 0.0536 memory: 817 2022/07/29 20:44:15 - mmengine - INFO - Epoch(val) [12][1600/2475] eta: 0:01:10 time: 0.0801 data_time: 0.0507 memory: 817 2022/07/29 20:44:17 - mmengine - INFO - Epoch(val) [12][1620/2475] eta: 0:01:17 time: 0.0905 data_time: 0.0641 memory: 817 2022/07/29 20:44:19 - mmengine - INFO - Epoch(val) [12][1640/2475] eta: 0:00:54 time: 0.0656 data_time: 0.0383 memory: 817 2022/07/29 20:44:21 - mmengine - INFO - Epoch(val) [12][1660/2475] eta: 0:01:29 time: 0.1093 data_time: 0.0828 memory: 817 2022/07/29 20:44:22 - mmengine - INFO - Epoch(val) [12][1680/2475] eta: 0:00:57 time: 0.0719 data_time: 0.0460 memory: 817 2022/07/29 20:44:24 - mmengine - INFO - Epoch(val) [12][1700/2475] eta: 0:01:19 time: 0.1030 data_time: 0.0725 memory: 817 2022/07/29 20:44:26 - mmengine - INFO - Epoch(val) [12][1720/2475] eta: 0:00:54 time: 0.0728 data_time: 0.0456 memory: 817 2022/07/29 20:44:27 - mmengine - INFO - Epoch(val) [12][1740/2475] eta: 0:00:58 time: 0.0790 data_time: 0.0517 memory: 817 2022/07/29 20:44:29 - mmengine - INFO - Epoch(val) [12][1760/2475] eta: 0:00:47 time: 0.0671 data_time: 0.0381 memory: 817 2022/07/29 20:44:30 - mmengine - INFO - Epoch(val) [12][1780/2475] eta: 0:01:04 time: 0.0923 data_time: 0.0644 memory: 817 2022/07/29 20:44:32 - mmengine - INFO - Epoch(val) [12][1800/2475] eta: 0:00:55 time: 0.0826 data_time: 0.0555 memory: 817 2022/07/29 20:44:34 - mmengine - INFO - Epoch(val) [12][1820/2475] eta: 0:00:54 time: 0.0826 data_time: 0.0541 memory: 817 2022/07/29 20:44:35 - mmengine - INFO - Epoch(val) [12][1840/2475] eta: 0:00:43 time: 0.0682 data_time: 0.0416 memory: 817 2022/07/29 20:44:37 - mmengine - INFO - Epoch(val) [12][1860/2475] eta: 0:00:54 time: 0.0884 data_time: 0.0617 memory: 817 2022/07/29 20:44:38 - mmengine - INFO - Epoch(val) [12][1880/2475] eta: 0:00:46 time: 0.0774 data_time: 0.0503 memory: 817 2022/07/29 20:44:40 - mmengine - INFO - Epoch(val) [12][1900/2475] eta: 0:00:57 time: 0.0998 data_time: 0.0732 memory: 817 2022/07/29 20:44:42 - mmengine - INFO - Epoch(val) [12][1920/2475] eta: 0:00:34 time: 0.0627 data_time: 0.0358 memory: 817 2022/07/29 20:44:44 - mmengine - INFO - Epoch(val) [12][1940/2475] eta: 0:00:56 time: 0.1064 data_time: 0.0458 memory: 817 2022/07/29 20:44:45 - mmengine - INFO - Epoch(val) [12][1960/2475] eta: 0:00:22 time: 0.0427 data_time: 0.0132 memory: 817 2022/07/29 20:44:46 - mmengine - INFO - Epoch(val) [12][1980/2475] eta: 0:00:32 time: 0.0655 data_time: 0.0389 memory: 817 2022/07/29 20:44:48 - mmengine - INFO - Epoch(val) [12][2000/2475] eta: 0:00:41 time: 0.0883 data_time: 0.0614 memory: 817 2022/07/29 20:44:49 - mmengine - INFO - Epoch(val) [12][2020/2475] eta: 0:00:31 time: 0.0694 data_time: 0.0434 memory: 817 2022/07/29 20:44:51 - mmengine - INFO - Epoch(val) [12][2040/2475] eta: 0:00:47 time: 0.1083 data_time: 0.0801 memory: 817 2022/07/29 20:44:53 - mmengine - INFO - Epoch(val) [12][2060/2475] eta: 0:00:27 time: 0.0668 data_time: 0.0405 memory: 817 2022/07/29 20:44:54 - mmengine - INFO - Epoch(val) [12][2080/2475] eta: 0:00:34 time: 0.0886 data_time: 0.0619 memory: 817 2022/07/29 20:44:56 - mmengine - INFO - Epoch(val) [12][2100/2475] eta: 0:00:26 time: 0.0719 data_time: 0.0430 memory: 817 2022/07/29 20:44:58 - mmengine - INFO - Epoch(val) [12][2120/2475] eta: 0:00:29 time: 0.0834 data_time: 0.0551 memory: 817 2022/07/29 20:44:59 - mmengine - INFO - Epoch(val) [12][2140/2475] eta: 0:00:20 time: 0.0605 data_time: 0.0323 memory: 817 2022/07/29 20:45:00 - mmengine - INFO - Epoch(val) [12][2160/2475] eta: 0:00:25 time: 0.0820 data_time: 0.0534 memory: 817 2022/07/29 20:45:02 - mmengine - INFO - Epoch(val) [12][2180/2475] eta: 0:00:27 time: 0.0944 data_time: 0.0672 memory: 817 2022/07/29 20:45:04 - mmengine - INFO - Epoch(val) [12][2200/2475] eta: 0:00:24 time: 0.0881 data_time: 0.0402 memory: 817 2022/07/29 20:45:06 - mmengine - INFO - Epoch(val) [12][2220/2475] eta: 0:00:18 time: 0.0708 data_time: 0.0422 memory: 817 2022/07/29 20:45:07 - mmengine - INFO - Epoch(val) [12][2240/2475] eta: 0:00:21 time: 0.0913 data_time: 0.0626 memory: 817 2022/07/29 20:45:09 - mmengine - INFO - Epoch(val) [12][2260/2475] eta: 0:00:17 time: 0.0833 data_time: 0.0548 memory: 817 2022/07/29 20:45:10 - mmengine - INFO - Epoch(val) [12][2280/2475] eta: 0:00:13 time: 0.0699 data_time: 0.0409 memory: 817 2022/07/29 20:45:12 - mmengine - INFO - Epoch(val) [12][2300/2475] eta: 0:00:14 time: 0.0838 data_time: 0.0564 memory: 817 2022/07/29 20:45:14 - mmengine - INFO - Epoch(val) [12][2320/2475] eta: 0:00:12 time: 0.0820 data_time: 0.0533 memory: 817 2022/07/29 20:45:15 - mmengine - INFO - Epoch(val) [12][2340/2475] eta: 0:00:10 time: 0.0788 data_time: 0.0522 memory: 817 2022/07/29 20:45:17 - mmengine - INFO - Epoch(val) [12][2360/2475] eta: 0:00:09 time: 0.0860 data_time: 0.0585 memory: 817 2022/07/29 20:45:19 - mmengine - INFO - Epoch(val) [12][2380/2475] eta: 0:00:08 time: 0.0850 data_time: 0.0564 memory: 817 2022/07/29 20:45:20 - mmengine - INFO - Epoch(val) [12][2400/2475] eta: 0:00:05 time: 0.0777 data_time: 0.0499 memory: 817 2022/07/29 20:45:22 - mmengine - INFO - Epoch(val) [12][2420/2475] eta: 0:00:04 time: 0.0843 data_time: 0.0578 memory: 817 2022/07/29 20:45:24 - mmengine - INFO - Epoch(val) [12][2440/2475] eta: 0:00:02 time: 0.0789 data_time: 0.0361 memory: 817 2022/07/29 20:45:25 - mmengine - INFO - Epoch(val) [12][2460/2475] eta: 0:00:00 time: 0.0652 data_time: 0.0347 memory: 817 2022/07/29 20:45:28 - mmengine - INFO - Epoch(val) [12][2475/2475] acc/top1: 0.6941 acc/top5: 0.8869 acc/mean1: 0.6941 2022/07/29 20:45:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_7.pth is removed 2022/07/29 20:45:31 - mmengine - INFO - The best checkpoint with 0.6941 acc/top1 at 13 epoch is saved to best_acc/top1_epoch_13.pth. 2022/07/29 20:45:58 - mmengine - INFO - Epoch(train) [13][20/2505] lr: 4.1000e-04 eta: 1 day, 8:19:02 time: 1.3511 data_time: 0.7289 memory: 32703 grad_norm: 23.9116 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3754 loss: 1.3754 2022/07/29 20:46:16 - mmengine - INFO - Epoch(train) [13][40/2505] lr: 4.1000e-04 eta: 1 day, 8:18:32 time: 0.8843 data_time: 0.2698 memory: 32703 grad_norm: 22.3844 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7291 loss: 1.7291 2022/07/29 20:46:36 - mmengine - INFO - Epoch(train) [13][60/2505] lr: 4.1000e-04 eta: 1 day, 8:18:14 time: 1.0385 data_time: 0.4502 memory: 32703 grad_norm: 23.2034 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6438 loss: 1.6438 2022/07/29 20:46:57 - mmengine - INFO - Epoch(train) [13][80/2505] lr: 4.1000e-04 eta: 1 day, 8:17:56 time: 1.0335 data_time: 0.4098 memory: 32703 grad_norm: 24.0841 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5825 loss: 1.5825 2022/07/29 20:47:18 - mmengine - INFO - Epoch(train) [13][100/2505] lr: 4.1000e-04 eta: 1 day, 8:17:39 time: 1.0534 data_time: 0.3512 memory: 32703 grad_norm: 23.0501 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5750 loss: 1.5750 2022/07/29 20:47:35 - mmengine - INFO - Epoch(train) [13][120/2505] lr: 4.1000e-04 eta: 1 day, 8:17:06 time: 0.8532 data_time: 0.2514 memory: 32703 grad_norm: 22.6077 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8712 loss: 1.8712 2022/07/29 20:47:58 - mmengine - INFO - Epoch(train) [13][140/2505] lr: 4.1000e-04 eta: 1 day, 8:16:55 time: 1.1271 data_time: 0.4973 memory: 32703 grad_norm: 23.0291 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.8953 loss: 1.8953 2022/07/29 20:48:17 - mmengine - INFO - Epoch(train) [13][160/2505] lr: 4.1000e-04 eta: 1 day, 8:16:29 time: 0.9349 data_time: 0.3028 memory: 32703 grad_norm: 22.4802 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6863 loss: 1.6863 2022/07/29 20:48:38 - mmengine - INFO - Epoch(train) [13][180/2505] lr: 4.1000e-04 eta: 1 day, 8:16:13 time: 1.0563 data_time: 0.4239 memory: 32703 grad_norm: 23.3799 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5700 loss: 1.5700 2022/07/29 20:48:53 - mmengine - INFO - Epoch(train) [13][200/2505] lr: 4.1000e-04 eta: 1 day, 8:15:35 time: 0.7795 data_time: 0.1985 memory: 32703 grad_norm: 22.6826 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6227 loss: 1.6227 2022/07/29 20:49:15 - mmengine - INFO - Epoch(train) [13][220/2505] lr: 4.1000e-04 eta: 1 day, 8:15:22 time: 1.1070 data_time: 0.4664 memory: 32703 grad_norm: 23.3610 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5050 loss: 1.5050 2022/07/29 20:49:31 - mmengine - INFO - Epoch(train) [13][240/2505] lr: 4.1000e-04 eta: 1 day, 8:14:46 time: 0.7938 data_time: 0.2169 memory: 32703 grad_norm: 22.9079 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6452 loss: 1.6452 2022/07/29 20:49:52 - mmengine - INFO - Epoch(train) [13][260/2505] lr: 4.1000e-04 eta: 1 day, 8:14:29 time: 1.0528 data_time: 0.4100 memory: 32703 grad_norm: 23.0507 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4744 loss: 1.4744 2022/07/29 20:50:12 - mmengine - INFO - Epoch(train) [13][280/2505] lr: 4.1000e-04 eta: 1 day, 8:14:05 time: 0.9658 data_time: 0.2721 memory: 32703 grad_norm: 22.4916 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3282 loss: 1.3282 2022/07/29 20:50:34 - mmengine - INFO - Epoch(train) [13][300/2505] lr: 4.1000e-04 eta: 1 day, 8:13:54 time: 1.1223 data_time: 0.4868 memory: 32703 grad_norm: 23.5940 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7230 loss: 1.7230 2022/07/29 20:50:51 - mmengine - INFO - Epoch(train) [13][320/2505] lr: 4.1000e-04 eta: 1 day, 8:13:22 time: 0.8581 data_time: 0.2567 memory: 32703 grad_norm: 23.4322 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4643 loss: 1.4643 2022/07/29 20:51:12 - mmengine - INFO - Epoch(train) [13][340/2505] lr: 4.1000e-04 eta: 1 day, 8:13:04 time: 1.0354 data_time: 0.3946 memory: 32703 grad_norm: 23.7617 top1_acc: 0.3333 top5_acc: 0.4167 loss_cls: 1.7344 loss: 1.7344 2022/07/29 20:51:31 - mmengine - INFO - Epoch(train) [13][360/2505] lr: 4.1000e-04 eta: 1 day, 8:12:40 time: 0.9596 data_time: 0.3411 memory: 32703 grad_norm: 21.5719 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.8405 loss: 1.8405 2022/07/29 20:51:52 - mmengine - INFO - Epoch(train) [13][380/2505] lr: 4.1000e-04 eta: 1 day, 8:12:23 time: 1.0517 data_time: 0.4432 memory: 32703 grad_norm: 23.0428 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4855 loss: 1.4855 2022/07/29 20:52:11 - mmengine - INFO - Epoch(train) [13][400/2505] lr: 4.1000e-04 eta: 1 day, 8:11:57 time: 0.9353 data_time: 0.3211 memory: 32703 grad_norm: 22.8857 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5553 loss: 1.5553 2022/07/29 20:52:35 - mmengine - INFO - Epoch(train) [13][420/2505] lr: 4.1000e-04 eta: 1 day, 8:11:53 time: 1.2281 data_time: 0.3418 memory: 32703 grad_norm: 22.9183 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4631 loss: 1.4631 2022/07/29 20:52:55 - mmengine - INFO - Epoch(train) [13][440/2505] lr: 4.1000e-04 eta: 1 day, 8:11:29 time: 0.9504 data_time: 0.0525 memory: 32703 grad_norm: 23.3606 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5275 loss: 1.5275 2022/07/29 20:53:14 - mmengine - INFO - Epoch(train) [13][460/2505] lr: 4.1000e-04 eta: 1 day, 8:11:07 time: 0.9971 data_time: 0.0567 memory: 32703 grad_norm: 23.7766 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6128 loss: 1.6128 2022/07/29 20:53:32 - mmengine - INFO - Epoch(train) [13][480/2505] lr: 4.1000e-04 eta: 1 day, 8:10:38 time: 0.8843 data_time: 0.0798 memory: 32703 grad_norm: 23.3895 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7419 loss: 1.7419 2022/07/29 20:53:53 - mmengine - INFO - Epoch(train) [13][500/2505] lr: 4.1000e-04 eta: 1 day, 8:10:18 time: 1.0173 data_time: 0.2040 memory: 32703 grad_norm: 24.0906 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7386 loss: 1.7386 2022/07/29 20:54:11 - mmengine - INFO - Epoch(train) [13][520/2505] lr: 4.1000e-04 eta: 1 day, 8:09:52 time: 0.9346 data_time: 0.0305 memory: 32703 grad_norm: 23.5761 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5514 loss: 1.5514 2022/07/29 20:54:33 - mmengine - INFO - Epoch(train) [13][540/2505] lr: 4.1000e-04 eta: 1 day, 8:09:38 time: 1.0873 data_time: 0.0309 memory: 32703 grad_norm: 22.3402 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6305 loss: 1.6305 2022/07/29 20:54:52 - mmengine - INFO - Epoch(train) [13][560/2505] lr: 4.1000e-04 eta: 1 day, 8:09:14 time: 0.9622 data_time: 0.0319 memory: 32703 grad_norm: 22.4693 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7994 loss: 1.7994 2022/07/29 20:55:12 - mmengine - INFO - Epoch(train) [13][580/2505] lr: 4.1000e-04 eta: 1 day, 8:08:52 time: 0.9785 data_time: 0.0320 memory: 32703 grad_norm: 23.1154 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5469 loss: 1.5469 2022/07/29 20:55:30 - mmengine - INFO - Epoch(train) [13][600/2505] lr: 4.1000e-04 eta: 1 day, 8:08:25 time: 0.9161 data_time: 0.0283 memory: 32703 grad_norm: 22.9828 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7385 loss: 1.7385 2022/07/29 20:55:49 - mmengine - INFO - Epoch(train) [13][620/2505] lr: 4.1000e-04 eta: 1 day, 8:07:59 time: 0.9346 data_time: 0.0488 memory: 32703 grad_norm: 23.9887 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6445 loss: 1.6445 2022/07/29 20:56:10 - mmengine - INFO - Epoch(train) [13][640/2505] lr: 4.1000e-04 eta: 1 day, 8:07:41 time: 1.0413 data_time: 0.0296 memory: 32703 grad_norm: 22.1494 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5492 loss: 1.5492 2022/07/29 20:56:28 - mmengine - INFO - Epoch(train) [13][660/2505] lr: 4.1000e-04 eta: 1 day, 8:07:14 time: 0.9176 data_time: 0.0298 memory: 32703 grad_norm: 21.9604 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7297 loss: 1.7297 2022/07/29 20:56:49 - mmengine - INFO - Epoch(train) [13][680/2505] lr: 4.1000e-04 eta: 1 day, 8:06:57 time: 1.0467 data_time: 0.0297 memory: 32703 grad_norm: 23.0461 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5530 loss: 1.5530 2022/07/29 20:57:07 - mmengine - INFO - Epoch(train) [13][700/2505] lr: 4.1000e-04 eta: 1 day, 8:06:30 time: 0.9237 data_time: 0.0282 memory: 32703 grad_norm: 22.8844 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5758 loss: 1.5758 2022/07/29 20:57:29 - mmengine - INFO - Epoch(train) [13][720/2505] lr: 4.1000e-04 eta: 1 day, 8:06:15 time: 1.0731 data_time: 0.0320 memory: 32703 grad_norm: 24.1630 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8166 loss: 1.8166 2022/07/29 20:57:47 - mmengine - INFO - Epoch(train) [13][740/2505] lr: 4.1000e-04 eta: 1 day, 8:05:47 time: 0.9116 data_time: 0.0290 memory: 32703 grad_norm: 22.9183 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6623 loss: 1.6623 2022/07/29 20:58:09 - mmengine - INFO - Epoch(train) [13][760/2505] lr: 4.1000e-04 eta: 1 day, 8:05:32 time: 1.0822 data_time: 0.0314 memory: 32703 grad_norm: 22.4694 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3472 loss: 1.3472 2022/07/29 20:58:27 - mmengine - INFO - Epoch(train) [13][780/2505] lr: 4.1000e-04 eta: 1 day, 8:05:05 time: 0.9162 data_time: 0.0286 memory: 32703 grad_norm: 22.6785 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5553 loss: 1.5553 2022/07/29 20:58:49 - mmengine - INFO - Epoch(train) [13][800/2505] lr: 4.1000e-04 eta: 1 day, 8:04:50 time: 1.0745 data_time: 0.0322 memory: 32703 grad_norm: 22.6849 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5867 loss: 1.5867 2022/07/29 20:59:06 - mmengine - INFO - Epoch(train) [13][820/2505] lr: 4.1000e-04 eta: 1 day, 8:04:19 time: 0.8671 data_time: 0.0305 memory: 32703 grad_norm: 21.9876 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4846 loss: 1.4846 2022/07/29 20:59:27 - mmengine - INFO - Epoch(train) [13][840/2505] lr: 4.1000e-04 eta: 1 day, 8:04:02 time: 1.0452 data_time: 0.0272 memory: 32703 grad_norm: 24.2511 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6573 loss: 1.6573 2022/07/29 20:59:45 - mmengine - INFO - Epoch(train) [13][860/2505] lr: 4.1000e-04 eta: 1 day, 8:03:33 time: 0.9002 data_time: 0.0301 memory: 32703 grad_norm: 23.4792 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6445 loss: 1.6445 2022/07/29 21:00:07 - mmengine - INFO - Epoch(train) [13][880/2505] lr: 4.1000e-04 eta: 1 day, 8:03:22 time: 1.1234 data_time: 0.0266 memory: 32703 grad_norm: 22.1622 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5425 loss: 1.5425 2022/07/29 21:00:25 - mmengine - INFO - Epoch(train) [13][900/2505] lr: 4.1000e-04 eta: 1 day, 8:02:51 time: 0.8725 data_time: 0.0317 memory: 32703 grad_norm: 23.4470 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7317 loss: 1.7317 2022/07/29 21:00:47 - mmengine - INFO - Epoch(train) [13][920/2505] lr: 4.1000e-04 eta: 1 day, 8:02:39 time: 1.1158 data_time: 0.0317 memory: 32703 grad_norm: 23.3951 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5902 loss: 1.5902 2022/07/29 21:01:05 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 21:01:05 - mmengine - INFO - Epoch(train) [13][940/2505] lr: 4.1000e-04 eta: 1 day, 8:02:12 time: 0.9086 data_time: 0.0287 memory: 32703 grad_norm: 23.1656 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3880 loss: 1.3880 2022/07/29 21:01:27 - mmengine - INFO - Epoch(train) [13][960/2505] lr: 4.1000e-04 eta: 1 day, 8:01:57 time: 1.0788 data_time: 0.0270 memory: 32703 grad_norm: 22.5979 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7997 loss: 1.7997 2022/07/29 21:01:45 - mmengine - INFO - Epoch(train) [13][980/2505] lr: 4.1000e-04 eta: 1 day, 8:01:30 time: 0.9217 data_time: 0.0282 memory: 32703 grad_norm: 22.2690 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.8171 loss: 1.8171 2022/07/29 21:02:06 - mmengine - INFO - Epoch(train) [13][1000/2505] lr: 4.1000e-04 eta: 1 day, 8:01:12 time: 1.0469 data_time: 0.0337 memory: 32703 grad_norm: 22.3513 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.7466 loss: 1.7466 2022/07/29 21:02:24 - mmengine - INFO - Epoch(train) [13][1020/2505] lr: 4.1000e-04 eta: 1 day, 8:00:44 time: 0.8990 data_time: 0.0304 memory: 32703 grad_norm: 23.6866 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7098 loss: 1.7098 2022/07/29 21:02:45 - mmengine - INFO - Epoch(train) [13][1040/2505] lr: 4.1000e-04 eta: 1 day, 8:00:27 time: 1.0557 data_time: 0.0260 memory: 32703 grad_norm: 22.4994 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4225 loss: 1.4225 2022/07/29 21:03:03 - mmengine - INFO - Epoch(train) [13][1060/2505] lr: 4.1000e-04 eta: 1 day, 7:59:58 time: 0.8801 data_time: 0.0285 memory: 32703 grad_norm: 23.3084 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5108 loss: 1.5108 2022/07/29 21:03:24 - mmengine - INFO - Epoch(train) [13][1080/2505] lr: 4.1000e-04 eta: 1 day, 7:59:43 time: 1.0808 data_time: 0.0261 memory: 32703 grad_norm: 23.4774 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5110 loss: 1.5110 2022/07/29 21:03:42 - mmengine - INFO - Epoch(train) [13][1100/2505] lr: 4.1000e-04 eta: 1 day, 7:59:12 time: 0.8565 data_time: 0.0304 memory: 32703 grad_norm: 24.5685 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8686 loss: 1.8686 2022/07/29 21:04:05 - mmengine - INFO - Epoch(train) [13][1120/2505] lr: 4.1000e-04 eta: 1 day, 7:59:04 time: 1.1842 data_time: 0.0255 memory: 32703 grad_norm: 22.8678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5041 loss: 1.5041 2022/07/29 21:04:22 - mmengine - INFO - Epoch(train) [13][1140/2505] lr: 4.1000e-04 eta: 1 day, 7:58:33 time: 0.8533 data_time: 0.0315 memory: 32703 grad_norm: 22.5769 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.5954 loss: 1.5954 2022/07/29 21:04:44 - mmengine - INFO - Epoch(train) [13][1160/2505] lr: 4.1000e-04 eta: 1 day, 7:58:16 time: 1.0576 data_time: 0.0273 memory: 32703 grad_norm: 23.4940 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6636 loss: 1.6636 2022/07/29 21:05:02 - mmengine - INFO - Epoch(train) [13][1180/2505] lr: 4.1000e-04 eta: 1 day, 7:57:50 time: 0.9306 data_time: 0.0292 memory: 32703 grad_norm: 23.0415 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3898 loss: 1.3898 2022/07/29 21:05:22 - mmengine - INFO - Epoch(train) [13][1200/2505] lr: 4.1000e-04 eta: 1 day, 7:57:31 time: 1.0181 data_time: 0.0347 memory: 32703 grad_norm: 22.8699 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6190 loss: 1.6190 2022/07/29 21:05:42 - mmengine - INFO - Epoch(train) [13][1220/2505] lr: 4.1000e-04 eta: 1 day, 7:57:07 time: 0.9684 data_time: 0.0273 memory: 32703 grad_norm: 23.5271 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7180 loss: 1.7180 2022/07/29 21:06:02 - mmengine - INFO - Epoch(train) [13][1240/2505] lr: 4.1000e-04 eta: 1 day, 7:56:47 time: 1.0024 data_time: 0.0314 memory: 32703 grad_norm: 22.7643 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5216 loss: 1.5216 2022/07/29 21:06:21 - mmengine - INFO - Epoch(train) [13][1260/2505] lr: 4.1000e-04 eta: 1 day, 7:56:22 time: 0.9464 data_time: 0.0282 memory: 32703 grad_norm: 24.0736 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7190 loss: 1.7190 2022/07/29 21:06:41 - mmengine - INFO - Epoch(train) [13][1280/2505] lr: 4.1000e-04 eta: 1 day, 7:56:03 time: 1.0185 data_time: 0.0312 memory: 32703 grad_norm: 22.0116 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.6514 loss: 1.6514 2022/07/29 21:07:00 - mmengine - INFO - Epoch(train) [13][1300/2505] lr: 4.1000e-04 eta: 1 day, 7:55:36 time: 0.9193 data_time: 0.0266 memory: 32703 grad_norm: 22.5796 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.8528 loss: 1.8528 2022/07/29 21:07:21 - mmengine - INFO - Epoch(train) [13][1320/2505] lr: 4.1000e-04 eta: 1 day, 7:55:19 time: 1.0589 data_time: 0.0308 memory: 32703 grad_norm: 23.3902 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6174 loss: 1.6174 2022/07/29 21:07:39 - mmengine - INFO - Epoch(train) [13][1340/2505] lr: 4.1000e-04 eta: 1 day, 7:54:51 time: 0.8971 data_time: 0.0249 memory: 32703 grad_norm: 23.6595 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6120 loss: 1.6120 2022/07/29 21:08:01 - mmengine - INFO - Epoch(train) [13][1360/2505] lr: 4.1000e-04 eta: 1 day, 7:54:38 time: 1.1036 data_time: 0.0275 memory: 32703 grad_norm: 22.8307 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6854 loss: 1.6854 2022/07/29 21:08:17 - mmengine - INFO - Epoch(train) [13][1380/2505] lr: 4.1000e-04 eta: 1 day, 7:54:05 time: 0.8347 data_time: 0.0352 memory: 32703 grad_norm: 22.8400 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5333 loss: 1.5333 2022/07/29 21:08:39 - mmengine - INFO - Epoch(train) [13][1400/2505] lr: 4.1000e-04 eta: 1 day, 7:53:51 time: 1.0988 data_time: 0.0272 memory: 32703 grad_norm: 21.8202 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8000 loss: 1.8000 2022/07/29 21:08:57 - mmengine - INFO - Epoch(train) [13][1420/2505] lr: 4.1000e-04 eta: 1 day, 7:53:23 time: 0.9012 data_time: 0.0310 memory: 32703 grad_norm: 22.7276 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5235 loss: 1.5235 2022/07/29 21:09:19 - mmengine - INFO - Epoch(train) [13][1440/2505] lr: 4.1000e-04 eta: 1 day, 7:53:09 time: 1.0880 data_time: 0.0276 memory: 32703 grad_norm: 22.1233 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6512 loss: 1.6512 2022/07/29 21:09:38 - mmengine - INFO - Epoch(train) [13][1460/2505] lr: 4.1000e-04 eta: 1 day, 7:52:42 time: 0.9183 data_time: 0.0296 memory: 32703 grad_norm: 23.5648 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5273 loss: 1.5273 2022/07/29 21:09:59 - mmengine - INFO - Epoch(train) [13][1480/2505] lr: 4.1000e-04 eta: 1 day, 7:52:28 time: 1.0861 data_time: 0.0279 memory: 32703 grad_norm: 22.5813 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4032 loss: 1.4032 2022/07/29 21:10:17 - mmengine - INFO - Epoch(train) [13][1500/2505] lr: 4.1000e-04 eta: 1 day, 7:51:59 time: 0.8975 data_time: 0.0264 memory: 32703 grad_norm: 23.5870 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6541 loss: 1.6541 2022/07/29 21:10:38 - mmengine - INFO - Epoch(train) [13][1520/2505] lr: 4.1000e-04 eta: 1 day, 7:51:40 time: 1.0226 data_time: 0.0329 memory: 32703 grad_norm: 21.4616 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7646 loss: 1.7646 2022/07/29 21:10:57 - mmengine - INFO - Epoch(train) [13][1540/2505] lr: 4.1000e-04 eta: 1 day, 7:51:15 time: 0.9387 data_time: 0.0312 memory: 32703 grad_norm: 22.6891 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5149 loss: 1.5149 2022/07/29 21:11:18 - mmengine - INFO - Epoch(train) [13][1560/2505] lr: 4.1000e-04 eta: 1 day, 7:50:58 time: 1.0582 data_time: 0.0295 memory: 32703 grad_norm: 22.6587 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.8575 loss: 1.8575 2022/07/29 21:11:35 - mmengine - INFO - Epoch(train) [13][1580/2505] lr: 4.1000e-04 eta: 1 day, 7:50:30 time: 0.8874 data_time: 0.0269 memory: 32703 grad_norm: 22.7976 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7187 loss: 1.7187 2022/07/29 21:11:58 - mmengine - INFO - Epoch(train) [13][1600/2505] lr: 4.1000e-04 eta: 1 day, 7:50:17 time: 1.1158 data_time: 0.0434 memory: 32703 grad_norm: 23.1062 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5052 loss: 1.5052 2022/07/29 21:12:15 - mmengine - INFO - Epoch(train) [13][1620/2505] lr: 4.1000e-04 eta: 1 day, 7:49:46 time: 0.8633 data_time: 0.0271 memory: 32703 grad_norm: 23.7178 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8429 loss: 1.8429 2022/07/29 21:12:36 - mmengine - INFO - Epoch(train) [13][1640/2505] lr: 4.1000e-04 eta: 1 day, 7:49:30 time: 1.0666 data_time: 0.0274 memory: 32703 grad_norm: 22.7197 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5490 loss: 1.5490 2022/07/29 21:12:55 - mmengine - INFO - Epoch(train) [13][1660/2505] lr: 4.1000e-04 eta: 1 day, 7:49:06 time: 0.9444 data_time: 0.0359 memory: 32703 grad_norm: 23.7775 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6803 loss: 1.6803 2022/07/29 21:13:16 - mmengine - INFO - Epoch(train) [13][1680/2505] lr: 4.1000e-04 eta: 1 day, 7:48:46 time: 1.0153 data_time: 0.0289 memory: 32703 grad_norm: 22.1343 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5887 loss: 1.5887 2022/07/29 21:13:34 - mmengine - INFO - Epoch(train) [13][1700/2505] lr: 4.1000e-04 eta: 1 day, 7:48:19 time: 0.9191 data_time: 0.0395 memory: 32703 grad_norm: 21.9638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4548 loss: 1.4548 2022/07/29 21:13:55 - mmengine - INFO - Epoch(train) [13][1720/2505] lr: 4.1000e-04 eta: 1 day, 7:48:01 time: 1.0365 data_time: 0.0601 memory: 32703 grad_norm: 22.0266 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5586 loss: 1.5586 2022/07/29 21:14:14 - mmengine - INFO - Epoch(train) [13][1740/2505] lr: 4.1000e-04 eta: 1 day, 7:47:37 time: 0.9476 data_time: 0.0324 memory: 32703 grad_norm: 22.7841 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6389 loss: 1.6389 2022/07/29 21:14:35 - mmengine - INFO - Epoch(train) [13][1760/2505] lr: 4.1000e-04 eta: 1 day, 7:47:20 time: 1.0557 data_time: 0.0323 memory: 32703 grad_norm: 22.6661 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6989 loss: 1.6989 2022/07/29 21:14:52 - mmengine - INFO - Epoch(train) [13][1780/2505] lr: 4.1000e-04 eta: 1 day, 7:46:50 time: 0.8690 data_time: 0.0321 memory: 32703 grad_norm: 22.6062 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.9000 loss: 1.9000 2022/07/29 21:15:13 - mmengine - INFO - Epoch(train) [13][1800/2505] lr: 4.1000e-04 eta: 1 day, 7:46:31 time: 1.0264 data_time: 0.0395 memory: 32703 grad_norm: 22.1537 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6499 loss: 1.6499 2022/07/29 21:15:31 - mmengine - INFO - Epoch(train) [13][1820/2505] lr: 4.1000e-04 eta: 1 day, 7:46:05 time: 0.9223 data_time: 0.0286 memory: 32703 grad_norm: 24.3147 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4957 loss: 1.4957 2022/07/29 21:15:53 - mmengine - INFO - Epoch(train) [13][1840/2505] lr: 4.1000e-04 eta: 1 day, 7:45:50 time: 1.0801 data_time: 0.0301 memory: 32703 grad_norm: 22.9544 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3949 loss: 1.3949 2022/07/29 21:16:10 - mmengine - INFO - Epoch(train) [13][1860/2505] lr: 4.1000e-04 eta: 1 day, 7:45:21 time: 0.8865 data_time: 0.0333 memory: 32703 grad_norm: 21.8946 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5497 loss: 1.5497 2022/07/29 21:16:31 - mmengine - INFO - Epoch(train) [13][1880/2505] lr: 4.1000e-04 eta: 1 day, 7:45:02 time: 1.0297 data_time: 0.0301 memory: 32703 grad_norm: 23.4133 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7361 loss: 1.7361 2022/07/29 21:16:48 - mmengine - INFO - Epoch(train) [13][1900/2505] lr: 4.1000e-04 eta: 1 day, 7:44:31 time: 0.8612 data_time: 0.0328 memory: 32703 grad_norm: 22.9950 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4151 loss: 1.4151 2022/07/29 21:17:10 - mmengine - INFO - Epoch(train) [13][1920/2505] lr: 4.1000e-04 eta: 1 day, 7:44:16 time: 1.0748 data_time: 0.0279 memory: 32703 grad_norm: 21.5817 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5124 loss: 1.5124 2022/07/29 21:17:30 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 21:17:30 - mmengine - INFO - Epoch(train) [13][1940/2505] lr: 4.1000e-04 eta: 1 day, 7:43:54 time: 0.9894 data_time: 0.0269 memory: 32703 grad_norm: 23.4601 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5614 loss: 1.5614 2022/07/29 21:17:50 - mmengine - INFO - Epoch(train) [13][1960/2505] lr: 4.1000e-04 eta: 1 day, 7:43:34 time: 1.0114 data_time: 0.0270 memory: 32703 grad_norm: 22.3264 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.7444 loss: 1.7444 2022/07/29 21:18:11 - mmengine - INFO - Epoch(train) [13][1980/2505] lr: 4.1000e-04 eta: 1 day, 7:43:19 time: 1.0736 data_time: 0.0280 memory: 32703 grad_norm: 22.8761 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6294 loss: 1.6294 2022/07/29 21:18:30 - mmengine - INFO - Epoch(train) [13][2000/2505] lr: 4.1000e-04 eta: 1 day, 7:42:53 time: 0.9198 data_time: 0.0390 memory: 32703 grad_norm: 22.1649 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4630 loss: 1.4630 2022/07/29 21:18:48 - mmengine - INFO - Epoch(train) [13][2020/2505] lr: 4.1000e-04 eta: 1 day, 7:42:25 time: 0.9051 data_time: 0.0378 memory: 32703 grad_norm: 22.2491 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6342 loss: 1.6342 2022/07/29 21:19:09 - mmengine - INFO - Epoch(train) [13][2040/2505] lr: 4.1000e-04 eta: 1 day, 7:42:10 time: 1.0752 data_time: 0.0267 memory: 32703 grad_norm: 22.2974 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4685 loss: 1.4685 2022/07/29 21:19:27 - mmengine - INFO - Epoch(train) [13][2060/2505] lr: 4.1000e-04 eta: 1 day, 7:41:42 time: 0.9042 data_time: 0.0341 memory: 32703 grad_norm: 23.2054 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6030 loss: 1.6030 2022/07/29 21:19:50 - mmengine - INFO - Epoch(train) [13][2080/2505] lr: 4.1000e-04 eta: 1 day, 7:41:29 time: 1.1053 data_time: 0.0306 memory: 32703 grad_norm: 21.7144 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5077 loss: 1.5077 2022/07/29 21:20:06 - mmengine - INFO - Epoch(train) [13][2100/2505] lr: 4.1000e-04 eta: 1 day, 7:40:58 time: 0.8507 data_time: 0.0374 memory: 32703 grad_norm: 22.1588 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4982 loss: 1.4982 2022/07/29 21:20:28 - mmengine - INFO - Epoch(train) [13][2120/2505] lr: 4.1000e-04 eta: 1 day, 7:40:40 time: 1.0470 data_time: 0.0263 memory: 32703 grad_norm: 22.9603 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8469 loss: 1.8469 2022/07/29 21:20:45 - mmengine - INFO - Epoch(train) [13][2140/2505] lr: 4.1000e-04 eta: 1 day, 7:40:13 time: 0.9026 data_time: 0.0327 memory: 32703 grad_norm: 22.6470 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6636 loss: 1.6636 2022/07/29 21:21:07 - mmengine - INFO - Epoch(train) [13][2160/2505] lr: 4.1000e-04 eta: 1 day, 7:39:55 time: 1.0500 data_time: 0.0287 memory: 32703 grad_norm: 22.5632 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6507 loss: 1.6507 2022/07/29 21:21:26 - mmengine - INFO - Epoch(train) [13][2180/2505] lr: 4.1000e-04 eta: 1 day, 7:39:31 time: 0.9545 data_time: 0.0280 memory: 32703 grad_norm: 22.3382 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4954 loss: 1.4954 2022/07/29 21:21:48 - mmengine - INFO - Epoch(train) [13][2200/2505] lr: 4.1000e-04 eta: 1 day, 7:39:18 time: 1.0985 data_time: 0.0302 memory: 32703 grad_norm: 23.1401 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7319 loss: 1.7319 2022/07/29 21:22:05 - mmengine - INFO - Epoch(train) [13][2220/2505] lr: 4.1000e-04 eta: 1 day, 7:38:49 time: 0.8897 data_time: 0.0271 memory: 32703 grad_norm: 23.1039 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6386 loss: 1.6386 2022/07/29 21:22:27 - mmengine - INFO - Epoch(train) [13][2240/2505] lr: 4.1000e-04 eta: 1 day, 7:38:33 time: 1.0658 data_time: 0.0285 memory: 32703 grad_norm: 23.3394 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.8425 loss: 1.8425 2022/07/29 21:22:44 - mmengine - INFO - Epoch(train) [13][2260/2505] lr: 4.1000e-04 eta: 1 day, 7:38:03 time: 0.8664 data_time: 0.0284 memory: 32703 grad_norm: 21.9436 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5982 loss: 1.5982 2022/07/29 21:23:06 - mmengine - INFO - Epoch(train) [13][2280/2505] lr: 4.1000e-04 eta: 1 day, 7:37:48 time: 1.0819 data_time: 0.0273 memory: 32703 grad_norm: 22.7009 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7541 loss: 1.7541 2022/07/29 21:23:24 - mmengine - INFO - Epoch(train) [13][2300/2505] lr: 4.1000e-04 eta: 1 day, 7:37:22 time: 0.9326 data_time: 0.0289 memory: 32703 grad_norm: 22.2417 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7185 loss: 1.7185 2022/07/29 21:23:45 - mmengine - INFO - Epoch(train) [13][2320/2505] lr: 4.1000e-04 eta: 1 day, 7:37:05 time: 1.0504 data_time: 0.0309 memory: 32703 grad_norm: 22.4510 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6193 loss: 1.6193 2022/07/29 21:24:03 - mmengine - INFO - Epoch(train) [13][2340/2505] lr: 4.1000e-04 eta: 1 day, 7:36:37 time: 0.8991 data_time: 0.0279 memory: 32703 grad_norm: 22.5150 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.5716 loss: 1.5716 2022/07/29 21:24:25 - mmengine - INFO - Epoch(train) [13][2360/2505] lr: 4.1000e-04 eta: 1 day, 7:36:22 time: 1.0755 data_time: 0.0359 memory: 32703 grad_norm: 22.7880 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5632 loss: 1.5632 2022/07/29 21:24:46 - mmengine - INFO - Epoch(train) [13][2380/2505] lr: 4.1000e-04 eta: 1 day, 7:36:04 time: 1.0381 data_time: 0.0274 memory: 32703 grad_norm: 22.1737 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6681 loss: 1.6681 2022/07/29 21:25:05 - mmengine - INFO - Epoch(train) [13][2400/2505] lr: 4.1000e-04 eta: 1 day, 7:35:43 time: 0.9948 data_time: 0.0317 memory: 32703 grad_norm: 23.2347 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7180 loss: 1.7180 2022/07/29 21:25:24 - mmengine - INFO - Epoch(train) [13][2420/2505] lr: 4.1000e-04 eta: 1 day, 7:35:16 time: 0.9087 data_time: 0.0320 memory: 32703 grad_norm: 22.0541 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3461 loss: 1.3461 2022/07/29 21:25:45 - mmengine - INFO - Epoch(train) [13][2440/2505] lr: 4.1000e-04 eta: 1 day, 7:34:59 time: 1.0568 data_time: 0.0272 memory: 32703 grad_norm: 22.8045 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5908 loss: 1.5908 2022/07/29 21:26:03 - mmengine - INFO - Epoch(train) [13][2460/2505] lr: 4.1000e-04 eta: 1 day, 7:34:33 time: 0.9179 data_time: 0.0296 memory: 32703 grad_norm: 23.2402 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7543 loss: 1.7543 2022/07/29 21:26:23 - mmengine - INFO - Epoch(train) [13][2480/2505] lr: 4.1000e-04 eta: 1 day, 7:34:11 time: 0.9868 data_time: 0.0284 memory: 32703 grad_norm: 21.8354 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.8200 loss: 1.8200 2022/07/29 21:26:41 - mmengine - INFO - Epoch(train) [13][2500/2505] lr: 4.1000e-04 eta: 1 day, 7:33:44 time: 0.9105 data_time: 0.0304 memory: 32703 grad_norm: 21.9844 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6237 loss: 1.6237 2022/07/29 21:26:44 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 21:26:44 - mmengine - INFO - Epoch(train) [13][2505/2505] lr: 4.1000e-04 eta: 1 day, 7:33:44 time: 0.8896 data_time: 0.0226 memory: 32703 grad_norm: 22.5546 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.6021 loss: 1.6021 2022/07/29 21:27:11 - mmengine - INFO - Epoch(train) [14][20/2505] lr: 4.4000e-04 eta: 1 day, 7:33:25 time: 1.3516 data_time: 0.7006 memory: 32703 grad_norm: 22.4553 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7737 loss: 1.7737 2022/07/29 21:27:29 - mmengine - INFO - Epoch(train) [14][40/2505] lr: 4.4000e-04 eta: 1 day, 7:32:59 time: 0.9212 data_time: 0.1891 memory: 32703 grad_norm: 23.8399 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.8712 loss: 1.8712 2022/07/29 21:27:51 - mmengine - INFO - Epoch(train) [14][60/2505] lr: 4.4000e-04 eta: 1 day, 7:32:42 time: 1.0597 data_time: 0.3008 memory: 32703 grad_norm: 23.3047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5035 loss: 1.5035 2022/07/29 21:28:09 - mmengine - INFO - Epoch(train) [14][80/2505] lr: 4.4000e-04 eta: 1 day, 7:32:17 time: 0.9356 data_time: 0.1811 memory: 32703 grad_norm: 22.4110 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3624 loss: 1.3624 2022/07/29 21:28:30 - mmengine - INFO - Epoch(train) [14][100/2505] lr: 4.4000e-04 eta: 1 day, 7:31:59 time: 1.0419 data_time: 0.2549 memory: 32703 grad_norm: 22.2856 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.7671 loss: 1.7671 2022/07/29 21:28:51 - mmengine - INFO - Epoch(train) [14][120/2505] lr: 4.4000e-04 eta: 1 day, 7:31:41 time: 1.0313 data_time: 0.1709 memory: 32703 grad_norm: 22.1370 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6222 loss: 1.6222 2022/07/29 21:29:12 - mmengine - INFO - Epoch(train) [14][140/2505] lr: 4.4000e-04 eta: 1 day, 7:31:23 time: 1.0349 data_time: 0.0327 memory: 32703 grad_norm: 23.4231 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6677 loss: 1.6677 2022/07/29 21:29:30 - mmengine - INFO - Epoch(train) [14][160/2505] lr: 4.4000e-04 eta: 1 day, 7:30:55 time: 0.9003 data_time: 0.0295 memory: 32703 grad_norm: 23.1414 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7863 loss: 1.7863 2022/07/29 21:29:51 - mmengine - INFO - Epoch(train) [14][180/2505] lr: 4.4000e-04 eta: 1 day, 7:30:39 time: 1.0655 data_time: 0.0316 memory: 32703 grad_norm: 21.9373 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.9447 loss: 1.9447 2022/07/29 21:30:09 - mmengine - INFO - Epoch(train) [14][200/2505] lr: 4.4000e-04 eta: 1 day, 7:30:11 time: 0.8904 data_time: 0.0273 memory: 32703 grad_norm: 22.9784 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8981 loss: 1.8981 2022/07/29 21:30:30 - mmengine - INFO - Epoch(train) [14][220/2505] lr: 4.4000e-04 eta: 1 day, 7:29:55 time: 1.0701 data_time: 0.0313 memory: 32703 grad_norm: 22.5019 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6469 loss: 1.6469 2022/07/29 21:30:47 - mmengine - INFO - Epoch(train) [14][240/2505] lr: 4.4000e-04 eta: 1 day, 7:29:22 time: 0.8305 data_time: 0.0316 memory: 32703 grad_norm: 21.9232 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6539 loss: 1.6539 2022/07/29 21:31:08 - mmengine - INFO - Epoch(train) [14][260/2505] lr: 4.4000e-04 eta: 1 day, 7:29:08 time: 1.0927 data_time: 0.0317 memory: 32703 grad_norm: 22.5193 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5892 loss: 1.5892 2022/07/29 21:31:26 - mmengine - INFO - Epoch(train) [14][280/2505] lr: 4.4000e-04 eta: 1 day, 7:28:40 time: 0.8996 data_time: 0.0280 memory: 32703 grad_norm: 23.0469 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5646 loss: 1.5646 2022/07/29 21:31:48 - mmengine - INFO - Epoch(train) [14][300/2505] lr: 4.4000e-04 eta: 1 day, 7:28:25 time: 1.0790 data_time: 0.0271 memory: 32703 grad_norm: 22.3183 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3958 loss: 1.3958 2022/07/29 21:32:07 - mmengine - INFO - Epoch(train) [14][320/2505] lr: 4.4000e-04 eta: 1 day, 7:28:00 time: 0.9395 data_time: 0.0324 memory: 32703 grad_norm: 22.7990 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4666 loss: 1.4666 2022/07/29 21:32:28 - mmengine - INFO - Epoch(train) [14][340/2505] lr: 4.4000e-04 eta: 1 day, 7:27:44 time: 1.0660 data_time: 0.0249 memory: 32703 grad_norm: 22.5063 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5806 loss: 1.5806 2022/07/29 21:32:49 - mmengine - INFO - Epoch(train) [14][360/2505] lr: 4.4000e-04 eta: 1 day, 7:27:27 time: 1.0506 data_time: 0.0321 memory: 32703 grad_norm: 21.8891 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5899 loss: 1.5899 2022/07/29 21:33:08 - mmengine - INFO - Epoch(train) [14][380/2505] lr: 4.4000e-04 eta: 1 day, 7:27:02 time: 0.9369 data_time: 0.0269 memory: 32703 grad_norm: 23.4566 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5050 loss: 1.5050 2022/07/29 21:33:26 - mmengine - INFO - Epoch(train) [14][400/2505] lr: 4.4000e-04 eta: 1 day, 7:26:36 time: 0.9244 data_time: 0.0278 memory: 32703 grad_norm: 23.3809 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4536 loss: 1.4536 2022/07/29 21:33:47 - mmengine - INFO - Epoch(train) [14][420/2505] lr: 4.4000e-04 eta: 1 day, 7:26:16 time: 1.0061 data_time: 0.0260 memory: 32703 grad_norm: 21.8442 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.1977 loss: 1.1977 2022/07/29 21:34:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 21:34:05 - mmengine - INFO - Epoch(train) [14][440/2505] lr: 4.4000e-04 eta: 1 day, 7:25:51 time: 0.9390 data_time: 0.0278 memory: 32703 grad_norm: 22.4640 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4146 loss: 1.4146 2022/07/29 21:34:27 - mmengine - INFO - Epoch(train) [14][460/2505] lr: 4.4000e-04 eta: 1 day, 7:25:37 time: 1.0913 data_time: 0.0268 memory: 32703 grad_norm: 22.9360 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8923 loss: 1.8923 2022/07/29 21:34:46 - mmengine - INFO - Epoch(train) [14][480/2505] lr: 4.4000e-04 eta: 1 day, 7:25:10 time: 0.9196 data_time: 0.1119 memory: 32703 grad_norm: 23.8204 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8435 loss: 1.8435 2022/07/29 21:35:07 - mmengine - INFO - Epoch(train) [14][500/2505] lr: 4.4000e-04 eta: 1 day, 7:24:55 time: 1.0713 data_time: 0.0362 memory: 32703 grad_norm: 22.8220 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8188 loss: 1.8188 2022/07/29 21:35:25 - mmengine - INFO - Epoch(train) [14][520/2505] lr: 4.4000e-04 eta: 1 day, 7:24:28 time: 0.9077 data_time: 0.0286 memory: 32703 grad_norm: 23.4832 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6161 loss: 1.6161 2022/07/29 21:35:46 - mmengine - INFO - Epoch(train) [14][540/2505] lr: 4.4000e-04 eta: 1 day, 7:24:09 time: 1.0232 data_time: 0.0297 memory: 32703 grad_norm: 23.0152 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7749 loss: 1.7749 2022/07/29 21:36:05 - mmengine - INFO - Epoch(train) [14][560/2505] lr: 4.4000e-04 eta: 1 day, 7:23:46 time: 0.9709 data_time: 0.0323 memory: 32703 grad_norm: 24.2817 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7223 loss: 1.7223 2022/07/29 21:36:25 - mmengine - INFO - Epoch(train) [14][580/2505] lr: 4.4000e-04 eta: 1 day, 7:23:26 time: 1.0051 data_time: 0.0653 memory: 32703 grad_norm: 23.0025 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5012 loss: 1.5012 2022/07/29 21:36:44 - mmengine - INFO - Epoch(train) [14][600/2505] lr: 4.4000e-04 eta: 1 day, 7:23:00 time: 0.9332 data_time: 0.0310 memory: 32703 grad_norm: 22.4419 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5861 loss: 1.5861 2022/07/29 21:37:03 - mmengine - INFO - Epoch(train) [14][620/2505] lr: 4.4000e-04 eta: 1 day, 7:22:37 time: 0.9597 data_time: 0.0528 memory: 32703 grad_norm: 21.7131 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7458 loss: 1.7458 2022/07/29 21:37:23 - mmengine - INFO - Epoch(train) [14][640/2505] lr: 4.4000e-04 eta: 1 day, 7:22:16 time: 1.0005 data_time: 0.0306 memory: 32703 grad_norm: 22.3731 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5737 loss: 1.5737 2022/07/29 21:37:41 - mmengine - INFO - Epoch(train) [14][660/2505] lr: 4.4000e-04 eta: 1 day, 7:21:50 time: 0.9198 data_time: 0.0317 memory: 32703 grad_norm: 23.2807 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.9408 loss: 1.9408 2022/07/29 21:38:03 - mmengine - INFO - Epoch(train) [14][680/2505] lr: 4.4000e-04 eta: 1 day, 7:21:34 time: 1.0688 data_time: 0.0341 memory: 32703 grad_norm: 21.9372 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4833 loss: 1.4833 2022/07/29 21:38:22 - mmengine - INFO - Epoch(train) [14][700/2505] lr: 4.4000e-04 eta: 1 day, 7:21:09 time: 0.9345 data_time: 0.0319 memory: 32703 grad_norm: 22.3567 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6522 loss: 1.6522 2022/07/29 21:38:42 - mmengine - INFO - Epoch(train) [14][720/2505] lr: 4.4000e-04 eta: 1 day, 7:20:48 time: 0.9987 data_time: 0.0292 memory: 32703 grad_norm: 22.7176 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5485 loss: 1.5485 2022/07/29 21:39:00 - mmengine - INFO - Epoch(train) [14][740/2505] lr: 4.4000e-04 eta: 1 day, 7:20:22 time: 0.9186 data_time: 0.0334 memory: 32703 grad_norm: 22.6478 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4677 loss: 1.4677 2022/07/29 21:39:21 - mmengine - INFO - Epoch(train) [14][760/2505] lr: 4.4000e-04 eta: 1 day, 7:20:05 time: 1.0493 data_time: 0.0305 memory: 32703 grad_norm: 22.4609 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5656 loss: 1.5656 2022/07/29 21:39:40 - mmengine - INFO - Epoch(train) [14][780/2505] lr: 4.4000e-04 eta: 1 day, 7:19:41 time: 0.9537 data_time: 0.0316 memory: 32703 grad_norm: 23.2177 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7018 loss: 1.7018 2022/07/29 21:40:00 - mmengine - INFO - Epoch(train) [14][800/2505] lr: 4.4000e-04 eta: 1 day, 7:19:20 time: 0.9949 data_time: 0.0299 memory: 32703 grad_norm: 22.4694 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5140 loss: 1.5140 2022/07/29 21:40:19 - mmengine - INFO - Epoch(train) [14][820/2505] lr: 4.4000e-04 eta: 1 day, 7:18:56 time: 0.9448 data_time: 0.0354 memory: 32703 grad_norm: 22.6657 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7253 loss: 1.7253 2022/07/29 21:40:41 - mmengine - INFO - Epoch(train) [14][840/2505] lr: 4.4000e-04 eta: 1 day, 7:18:42 time: 1.0952 data_time: 0.0329 memory: 32703 grad_norm: 21.8573 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6061 loss: 1.6061 2022/07/29 21:40:58 - mmengine - INFO - Epoch(train) [14][860/2505] lr: 4.4000e-04 eta: 1 day, 7:18:13 time: 0.8756 data_time: 0.0299 memory: 32703 grad_norm: 22.3379 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5504 loss: 1.5504 2022/07/29 21:41:19 - mmengine - INFO - Epoch(train) [14][880/2505] lr: 4.4000e-04 eta: 1 day, 7:17:56 time: 1.0609 data_time: 0.0261 memory: 32703 grad_norm: 23.6607 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4521 loss: 1.4521 2022/07/29 21:41:38 - mmengine - INFO - Epoch(train) [14][900/2505] lr: 4.4000e-04 eta: 1 day, 7:17:32 time: 0.9482 data_time: 0.0301 memory: 32703 grad_norm: 21.3105 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5361 loss: 1.5361 2022/07/29 21:41:59 - mmengine - INFO - Epoch(train) [14][920/2505] lr: 4.4000e-04 eta: 1 day, 7:17:12 time: 1.0156 data_time: 0.0261 memory: 32703 grad_norm: 22.5115 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6463 loss: 1.6463 2022/07/29 21:42:20 - mmengine - INFO - Epoch(train) [14][940/2505] lr: 4.4000e-04 eta: 1 day, 7:16:55 time: 1.0446 data_time: 0.0291 memory: 32703 grad_norm: 22.2002 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6870 loss: 1.6870 2022/07/29 21:42:39 - mmengine - INFO - Epoch(train) [14][960/2505] lr: 4.4000e-04 eta: 1 day, 7:16:33 time: 0.9786 data_time: 0.0337 memory: 32703 grad_norm: 21.4996 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5424 loss: 1.5424 2022/07/29 21:42:57 - mmengine - INFO - Epoch(train) [14][980/2505] lr: 4.4000e-04 eta: 1 day, 7:16:06 time: 0.9127 data_time: 0.0330 memory: 32703 grad_norm: 23.2919 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.6683 loss: 1.6683 2022/07/29 21:43:18 - mmengine - INFO - Epoch(train) [14][1000/2505] lr: 4.4000e-04 eta: 1 day, 7:15:47 time: 1.0159 data_time: 0.0282 memory: 32703 grad_norm: 23.3035 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6602 loss: 1.6602 2022/07/29 21:43:36 - mmengine - INFO - Epoch(train) [14][1020/2505] lr: 4.4000e-04 eta: 1 day, 7:15:21 time: 0.9334 data_time: 0.0297 memory: 32703 grad_norm: 21.8008 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9088 loss: 1.9088 2022/07/29 21:43:56 - mmengine - INFO - Epoch(train) [14][1040/2505] lr: 4.4000e-04 eta: 1 day, 7:15:01 time: 1.0058 data_time: 0.0277 memory: 32703 grad_norm: 20.9895 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5283 loss: 1.5283 2022/07/29 21:44:15 - mmengine - INFO - Epoch(train) [14][1060/2505] lr: 4.4000e-04 eta: 1 day, 7:14:37 time: 0.9404 data_time: 0.0281 memory: 32703 grad_norm: 23.1219 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4867 loss: 1.4867 2022/07/29 21:44:35 - mmengine - INFO - Epoch(train) [14][1080/2505] lr: 4.4000e-04 eta: 1 day, 7:14:15 time: 0.9820 data_time: 0.0276 memory: 32703 grad_norm: 22.7074 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5239 loss: 1.5239 2022/07/29 21:44:54 - mmengine - INFO - Epoch(train) [14][1100/2505] lr: 4.4000e-04 eta: 1 day, 7:13:50 time: 0.9362 data_time: 0.0277 memory: 32703 grad_norm: 24.0844 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.4658 loss: 1.4658 2022/07/29 21:45:14 - mmengine - INFO - Epoch(train) [14][1120/2505] lr: 4.4000e-04 eta: 1 day, 7:13:30 time: 1.0126 data_time: 0.0269 memory: 32703 grad_norm: 22.9112 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7760 loss: 1.7760 2022/07/29 21:45:33 - mmengine - INFO - Epoch(train) [14][1140/2505] lr: 4.4000e-04 eta: 1 day, 7:13:07 time: 0.9604 data_time: 0.0293 memory: 32703 grad_norm: 22.1546 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5625 loss: 1.5625 2022/07/29 21:45:53 - mmengine - INFO - Epoch(train) [14][1160/2505] lr: 4.4000e-04 eta: 1 day, 7:12:45 time: 0.9784 data_time: 0.0267 memory: 32703 grad_norm: 21.4145 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5459 loss: 1.5459 2022/07/29 21:46:13 - mmengine - INFO - Epoch(train) [14][1180/2505] lr: 4.4000e-04 eta: 1 day, 7:12:25 time: 1.0048 data_time: 0.0278 memory: 32703 grad_norm: 21.9222 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5437 loss: 1.5437 2022/07/29 21:46:33 - mmengine - INFO - Epoch(train) [14][1200/2505] lr: 4.4000e-04 eta: 1 day, 7:12:03 time: 0.9873 data_time: 0.0306 memory: 32703 grad_norm: 22.9947 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6726 loss: 1.6726 2022/07/29 21:46:52 - mmengine - INFO - Epoch(train) [14][1220/2505] lr: 4.4000e-04 eta: 1 day, 7:11:40 time: 0.9572 data_time: 0.1093 memory: 32703 grad_norm: 23.1344 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6365 loss: 1.6365 2022/07/29 21:47:14 - mmengine - INFO - Epoch(train) [14][1240/2505] lr: 4.4000e-04 eta: 1 day, 7:11:28 time: 1.1279 data_time: 0.0359 memory: 32703 grad_norm: 21.8853 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4521 loss: 1.4521 2022/07/29 21:47:33 - mmengine - INFO - Epoch(train) [14][1260/2505] lr: 4.4000e-04 eta: 1 day, 7:11:04 time: 0.9617 data_time: 0.0274 memory: 32703 grad_norm: 22.3708 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5550 loss: 1.5550 2022/07/29 21:47:53 - mmengine - INFO - Epoch(train) [14][1280/2505] lr: 4.4000e-04 eta: 1 day, 7:10:41 time: 0.9646 data_time: 0.0280 memory: 32703 grad_norm: 22.6311 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6986 loss: 1.6986 2022/07/29 21:48:11 - mmengine - INFO - Epoch(train) [14][1300/2505] lr: 4.4000e-04 eta: 1 day, 7:10:16 time: 0.9292 data_time: 0.0285 memory: 32703 grad_norm: 22.5748 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6260 loss: 1.6260 2022/07/29 21:48:33 - mmengine - INFO - Epoch(train) [14][1320/2505] lr: 4.4000e-04 eta: 1 day, 7:10:00 time: 1.0654 data_time: 0.0278 memory: 32703 grad_norm: 22.2890 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6771 loss: 1.6771 2022/07/29 21:48:50 - mmengine - INFO - Epoch(train) [14][1340/2505] lr: 4.4000e-04 eta: 1 day, 7:09:32 time: 0.8874 data_time: 0.0274 memory: 32703 grad_norm: 22.1314 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6834 loss: 1.6834 2022/07/29 21:49:11 - mmengine - INFO - Epoch(train) [14][1360/2505] lr: 4.4000e-04 eta: 1 day, 7:09:14 time: 1.0417 data_time: 0.0292 memory: 32703 grad_norm: 22.8089 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3696 loss: 1.3696 2022/07/29 21:49:30 - mmengine - INFO - Epoch(train) [14][1380/2505] lr: 4.4000e-04 eta: 1 day, 7:08:49 time: 0.9362 data_time: 0.1258 memory: 32703 grad_norm: 22.7365 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5625 loss: 1.5625 2022/07/29 21:49:51 - mmengine - INFO - Epoch(train) [14][1400/2505] lr: 4.4000e-04 eta: 1 day, 7:08:33 time: 1.0692 data_time: 0.0428 memory: 32703 grad_norm: 22.3479 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5108 loss: 1.5108 2022/07/29 21:50:09 - mmengine - INFO - Epoch(train) [14][1420/2505] lr: 4.4000e-04 eta: 1 day, 7:08:06 time: 0.8951 data_time: 0.0279 memory: 32703 grad_norm: 21.2796 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.8241 loss: 1.8241 2022/07/29 21:50:24 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 21:50:30 - mmengine - INFO - Epoch(train) [14][1440/2505] lr: 4.4000e-04 eta: 1 day, 7:07:47 time: 1.0294 data_time: 0.0473 memory: 32703 grad_norm: 22.3161 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3229 loss: 1.3229 2022/07/29 21:50:48 - mmengine - INFO - Epoch(train) [14][1460/2505] lr: 4.4000e-04 eta: 1 day, 7:07:21 time: 0.9174 data_time: 0.0250 memory: 32703 grad_norm: 22.1312 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5783 loss: 1.5783 2022/07/29 21:51:09 - mmengine - INFO - Epoch(train) [14][1480/2505] lr: 4.4000e-04 eta: 1 day, 7:07:04 time: 1.0494 data_time: 0.0278 memory: 32703 grad_norm: 24.4086 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3688 loss: 1.3688 2022/07/29 21:51:28 - mmengine - INFO - Epoch(train) [14][1500/2505] lr: 4.4000e-04 eta: 1 day, 7:06:38 time: 0.9312 data_time: 0.0364 memory: 32703 grad_norm: 22.3796 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.8470 loss: 1.8470 2022/07/29 21:51:49 - mmengine - INFO - Epoch(train) [14][1520/2505] lr: 4.4000e-04 eta: 1 day, 7:06:22 time: 1.0622 data_time: 0.0302 memory: 32703 grad_norm: 22.1366 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7219 loss: 1.7219 2022/07/29 21:52:07 - mmengine - INFO - Epoch(train) [14][1540/2505] lr: 4.4000e-04 eta: 1 day, 7:05:53 time: 0.8722 data_time: 0.0318 memory: 32703 grad_norm: 22.3894 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4956 loss: 1.4956 2022/07/29 21:52:28 - mmengine - INFO - Epoch(train) [14][1560/2505] lr: 4.4000e-04 eta: 1 day, 7:05:36 time: 1.0614 data_time: 0.0332 memory: 32703 grad_norm: 21.9802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6797 loss: 1.6797 2022/07/29 21:52:46 - mmengine - INFO - Epoch(train) [14][1580/2505] lr: 4.4000e-04 eta: 1 day, 7:05:10 time: 0.9037 data_time: 0.0267 memory: 32703 grad_norm: 21.4704 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7597 loss: 1.7597 2022/07/29 21:53:07 - mmengine - INFO - Epoch(train) [14][1600/2505] lr: 4.4000e-04 eta: 1 day, 7:04:52 time: 1.0487 data_time: 0.0307 memory: 32703 grad_norm: 21.5165 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6890 loss: 1.6890 2022/07/29 21:53:25 - mmengine - INFO - Epoch(train) [14][1620/2505] lr: 4.4000e-04 eta: 1 day, 7:04:25 time: 0.9041 data_time: 0.0304 memory: 32703 grad_norm: 21.8092 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6145 loss: 1.6145 2022/07/29 21:53:46 - mmengine - INFO - Epoch(train) [14][1640/2505] lr: 4.4000e-04 eta: 1 day, 7:04:07 time: 1.0360 data_time: 0.0324 memory: 32703 grad_norm: 23.7941 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5337 loss: 1.5337 2022/07/29 21:54:04 - mmengine - INFO - Epoch(train) [14][1660/2505] lr: 4.4000e-04 eta: 1 day, 7:03:40 time: 0.8935 data_time: 0.0317 memory: 32703 grad_norm: 22.2133 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7496 loss: 1.7496 2022/07/29 21:54:24 - mmengine - INFO - Epoch(train) [14][1680/2505] lr: 4.4000e-04 eta: 1 day, 7:03:21 time: 1.0327 data_time: 0.0315 memory: 32703 grad_norm: 22.0976 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5490 loss: 1.5490 2022/07/29 21:54:43 - mmengine - INFO - Epoch(train) [14][1700/2505] lr: 4.4000e-04 eta: 1 day, 7:02:55 time: 0.9209 data_time: 0.0305 memory: 32703 grad_norm: 21.8238 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6107 loss: 1.6107 2022/07/29 21:55:03 - mmengine - INFO - Epoch(train) [14][1720/2505] lr: 4.4000e-04 eta: 1 day, 7:02:38 time: 1.0455 data_time: 0.0277 memory: 32703 grad_norm: 21.5807 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5738 loss: 1.5738 2022/07/29 21:55:22 - mmengine - INFO - Epoch(train) [14][1740/2505] lr: 4.4000e-04 eta: 1 day, 7:02:14 time: 0.9511 data_time: 0.0285 memory: 32703 grad_norm: 22.1118 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5673 loss: 1.5673 2022/07/29 21:55:44 - mmengine - INFO - Epoch(train) [14][1760/2505] lr: 4.4000e-04 eta: 1 day, 7:01:58 time: 1.0637 data_time: 0.0298 memory: 32703 grad_norm: 22.0352 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5067 loss: 1.5067 2022/07/29 21:56:02 - mmengine - INFO - Epoch(train) [14][1780/2505] lr: 4.4000e-04 eta: 1 day, 7:01:30 time: 0.8937 data_time: 0.0304 memory: 32703 grad_norm: 22.5226 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6639 loss: 1.6639 2022/07/29 21:56:24 - mmengine - INFO - Epoch(train) [14][1800/2505] lr: 4.4000e-04 eta: 1 day, 7:01:17 time: 1.1184 data_time: 0.0309 memory: 32703 grad_norm: 21.7912 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.6115 loss: 1.6115 2022/07/29 21:56:41 - mmengine - INFO - Epoch(train) [14][1820/2505] lr: 4.4000e-04 eta: 1 day, 7:00:46 time: 0.8337 data_time: 0.0269 memory: 32703 grad_norm: 21.6322 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7168 loss: 1.7168 2022/07/29 21:57:03 - mmengine - INFO - Epoch(train) [14][1840/2505] lr: 4.4000e-04 eta: 1 day, 7:00:33 time: 1.1198 data_time: 0.0340 memory: 32703 grad_norm: 22.4051 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5867 loss: 1.5867 2022/07/29 21:57:21 - mmengine - INFO - Epoch(train) [14][1860/2505] lr: 4.4000e-04 eta: 1 day, 7:00:05 time: 0.8782 data_time: 0.0261 memory: 32703 grad_norm: 22.3114 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5848 loss: 1.5848 2022/07/29 21:57:43 - mmengine - INFO - Epoch(train) [14][1880/2505] lr: 4.4000e-04 eta: 1 day, 6:59:50 time: 1.0939 data_time: 0.0878 memory: 32703 grad_norm: 22.3946 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7090 loss: 1.7090 2022/07/29 21:58:00 - mmengine - INFO - Epoch(train) [14][1900/2505] lr: 4.4000e-04 eta: 1 day, 6:59:21 time: 0.8654 data_time: 0.1956 memory: 32703 grad_norm: 21.8531 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7458 loss: 1.7458 2022/07/29 21:58:21 - mmengine - INFO - Epoch(train) [14][1920/2505] lr: 4.4000e-04 eta: 1 day, 6:59:04 time: 1.0486 data_time: 0.0275 memory: 32703 grad_norm: 22.2304 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5751 loss: 1.5751 2022/07/29 21:58:38 - mmengine - INFO - Epoch(train) [14][1940/2505] lr: 4.4000e-04 eta: 1 day, 6:58:33 time: 0.8482 data_time: 0.0308 memory: 32703 grad_norm: 22.7525 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6597 loss: 1.6597 2022/07/29 21:58:59 - mmengine - INFO - Epoch(train) [14][1960/2505] lr: 4.4000e-04 eta: 1 day, 6:58:15 time: 1.0397 data_time: 0.0533 memory: 32703 grad_norm: 22.0380 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6324 loss: 1.6324 2022/07/29 21:59:17 - mmengine - INFO - Epoch(train) [14][1980/2505] lr: 4.4000e-04 eta: 1 day, 6:57:50 time: 0.9282 data_time: 0.1676 memory: 32703 grad_norm: 21.6199 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3104 loss: 1.3104 2022/07/29 21:59:39 - mmengine - INFO - Epoch(train) [14][2000/2505] lr: 4.4000e-04 eta: 1 day, 6:57:34 time: 1.0641 data_time: 0.1724 memory: 32703 grad_norm: 22.1856 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6288 loss: 1.6288 2022/07/29 21:59:57 - mmengine - INFO - Epoch(train) [14][2020/2505] lr: 4.4000e-04 eta: 1 day, 6:57:07 time: 0.9097 data_time: 0.1227 memory: 32703 grad_norm: 22.8803 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4594 loss: 1.4594 2022/07/29 22:00:17 - mmengine - INFO - Epoch(train) [14][2040/2505] lr: 4.4000e-04 eta: 1 day, 6:56:49 time: 1.0303 data_time: 0.2081 memory: 32703 grad_norm: 22.8639 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.3844 loss: 1.3844 2022/07/29 22:00:37 - mmengine - INFO - Epoch(train) [14][2060/2505] lr: 4.4000e-04 eta: 1 day, 6:56:26 time: 0.9617 data_time: 0.1178 memory: 32703 grad_norm: 22.6224 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3411 loss: 1.3411 2022/07/29 22:00:56 - mmengine - INFO - Epoch(train) [14][2080/2505] lr: 4.4000e-04 eta: 1 day, 6:56:04 time: 0.9806 data_time: 0.1955 memory: 32703 grad_norm: 22.8855 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5973 loss: 1.5973 2022/07/29 22:01:18 - mmengine - INFO - Epoch(train) [14][2100/2505] lr: 4.4000e-04 eta: 1 day, 6:55:48 time: 1.0786 data_time: 0.0875 memory: 32703 grad_norm: 22.3882 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5851 loss: 1.5851 2022/07/29 22:01:36 - mmengine - INFO - Epoch(train) [14][2120/2505] lr: 4.4000e-04 eta: 1 day, 6:55:23 time: 0.9266 data_time: 0.0262 memory: 32703 grad_norm: 22.8001 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8256 loss: 1.8256 2022/07/29 22:01:54 - mmengine - INFO - Epoch(train) [14][2140/2505] lr: 4.4000e-04 eta: 1 day, 6:54:56 time: 0.8901 data_time: 0.0267 memory: 32703 grad_norm: 21.4600 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7228 loss: 1.7228 2022/07/29 22:02:17 - mmengine - INFO - Epoch(train) [14][2160/2505] lr: 4.4000e-04 eta: 1 day, 6:54:43 time: 1.1259 data_time: 0.0287 memory: 32703 grad_norm: 22.3842 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6438 loss: 1.6438 2022/07/29 22:02:34 - mmengine - INFO - Epoch(train) [14][2180/2505] lr: 4.4000e-04 eta: 1 day, 6:54:13 time: 0.8554 data_time: 0.0272 memory: 32703 grad_norm: 21.7310 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.4826 loss: 1.4826 2022/07/29 22:02:56 - mmengine - INFO - Epoch(train) [14][2200/2505] lr: 4.4000e-04 eta: 1 day, 6:54:00 time: 1.1184 data_time: 0.0266 memory: 32703 grad_norm: 22.4012 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7057 loss: 1.7057 2022/07/29 22:03:14 - mmengine - INFO - Epoch(train) [14][2220/2505] lr: 4.4000e-04 eta: 1 day, 6:53:33 time: 0.8940 data_time: 0.0316 memory: 32703 grad_norm: 22.6019 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7664 loss: 1.7664 2022/07/29 22:03:35 - mmengine - INFO - Epoch(train) [14][2240/2505] lr: 4.4000e-04 eta: 1 day, 6:53:15 time: 1.0339 data_time: 0.0304 memory: 32703 grad_norm: 21.7146 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6227 loss: 1.6227 2022/07/29 22:03:52 - mmengine - INFO - Epoch(train) [14][2260/2505] lr: 4.4000e-04 eta: 1 day, 6:52:46 time: 0.8790 data_time: 0.0534 memory: 32703 grad_norm: 21.7096 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4374 loss: 1.4374 2022/07/29 22:04:14 - mmengine - INFO - Epoch(train) [14][2280/2505] lr: 4.4000e-04 eta: 1 day, 6:52:33 time: 1.1090 data_time: 0.0283 memory: 32703 grad_norm: 22.1281 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6824 loss: 1.6824 2022/07/29 22:04:31 - mmengine - INFO - Epoch(train) [14][2300/2505] lr: 4.4000e-04 eta: 1 day, 6:52:01 time: 0.8181 data_time: 0.0925 memory: 32703 grad_norm: 22.2795 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7551 loss: 1.7551 2022/07/29 22:04:52 - mmengine - INFO - Epoch(train) [14][2320/2505] lr: 4.4000e-04 eta: 1 day, 6:51:44 time: 1.0663 data_time: 0.0299 memory: 32703 grad_norm: 21.4670 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7816 loss: 1.7816 2022/07/29 22:05:11 - mmengine - INFO - Epoch(train) [14][2340/2505] lr: 4.4000e-04 eta: 1 day, 6:51:21 time: 0.9473 data_time: 0.0253 memory: 32703 grad_norm: 21.6837 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7254 loss: 1.7254 2022/07/29 22:05:31 - mmengine - INFO - Epoch(train) [14][2360/2505] lr: 4.4000e-04 eta: 1 day, 6:51:00 time: 1.0047 data_time: 0.0323 memory: 32703 grad_norm: 22.3177 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7490 loss: 1.7490 2022/07/29 22:05:51 - mmengine - INFO - Epoch(train) [14][2380/2505] lr: 4.4000e-04 eta: 1 day, 6:50:39 time: 0.9878 data_time: 0.0317 memory: 32703 grad_norm: 22.0902 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5851 loss: 1.5851 2022/07/29 22:06:11 - mmengine - INFO - Epoch(train) [14][2400/2505] lr: 4.4000e-04 eta: 1 day, 6:50:20 time: 1.0195 data_time: 0.0307 memory: 32703 grad_norm: 22.5860 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7083 loss: 1.7083 2022/07/29 22:06:29 - mmengine - INFO - Epoch(train) [14][2420/2505] lr: 4.4000e-04 eta: 1 day, 6:49:53 time: 0.9087 data_time: 0.0282 memory: 32703 grad_norm: 22.7317 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7370 loss: 1.7370 2022/07/29 22:06:45 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 22:06:52 - mmengine - INFO - Epoch(train) [14][2440/2505] lr: 4.4000e-04 eta: 1 day, 6:49:40 time: 1.1133 data_time: 0.0259 memory: 32703 grad_norm: 22.3339 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5778 loss: 1.5778 2022/07/29 22:07:09 - mmengine - INFO - Epoch(train) [14][2460/2505] lr: 4.4000e-04 eta: 1 day, 6:49:13 time: 0.8920 data_time: 0.0288 memory: 32703 grad_norm: 22.6664 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6122 loss: 1.6122 2022/07/29 22:07:29 - mmengine - INFO - Epoch(train) [14][2480/2505] lr: 4.4000e-04 eta: 1 day, 6:48:50 time: 0.9627 data_time: 0.0294 memory: 32703 grad_norm: 21.6025 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5986 loss: 1.5986 2022/07/29 22:07:47 - mmengine - INFO - Epoch(train) [14][2500/2505] lr: 4.4000e-04 eta: 1 day, 6:48:23 time: 0.8989 data_time: 0.0297 memory: 32703 grad_norm: 23.4448 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.7648 loss: 1.7648 2022/07/29 22:07:49 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 22:07:49 - mmengine - INFO - Epoch(train) [14][2505/2505] lr: 4.4000e-04 eta: 1 day, 6:48:23 time: 0.7538 data_time: 0.0204 memory: 32703 grad_norm: 23.8016 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.6423 loss: 1.6423 2022/07/29 22:07:50 - mmengine - INFO - Saving checkpoint at 14 epochs 2022/07/29 22:08:19 - mmengine - INFO - Epoch(train) [15][20/2505] lr: 4.7000e-04 eta: 1 day, 6:47:27 time: 0.7636 data_time: 0.1604 memory: 32703 grad_norm: 21.6641 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4914 loss: 1.4914 2022/07/29 22:08:37 - mmengine - INFO - Epoch(train) [15][40/2505] lr: 4.7000e-04 eta: 1 day, 6:46:59 time: 0.8809 data_time: 0.2925 memory: 32703 grad_norm: 23.0914 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.5717 loss: 1.5717 2022/07/29 22:08:59 - mmengine - INFO - Epoch(train) [15][60/2505] lr: 4.7000e-04 eta: 1 day, 6:46:47 time: 1.1312 data_time: 0.5107 memory: 32703 grad_norm: 21.5378 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3966 loss: 1.3966 2022/07/29 22:09:18 - mmengine - INFO - Epoch(train) [15][80/2505] lr: 4.7000e-04 eta: 1 day, 6:46:20 time: 0.9100 data_time: 0.3042 memory: 32703 grad_norm: 22.2721 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7301 loss: 1.7301 2022/07/29 22:09:38 - mmengine - INFO - Epoch(train) [15][100/2505] lr: 4.7000e-04 eta: 1 day, 6:46:01 time: 1.0166 data_time: 0.4139 memory: 32703 grad_norm: 22.7919 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4707 loss: 1.4707 2022/07/29 22:09:57 - mmengine - INFO - Epoch(train) [15][120/2505] lr: 4.7000e-04 eta: 1 day, 6:45:37 time: 0.9493 data_time: 0.3538 memory: 32703 grad_norm: 23.3182 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7025 loss: 1.7025 2022/07/29 22:10:18 - mmengine - INFO - Epoch(train) [15][140/2505] lr: 4.7000e-04 eta: 1 day, 6:45:21 time: 1.0580 data_time: 0.4712 memory: 32703 grad_norm: 23.3780 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5900 loss: 1.5900 2022/07/29 22:10:40 - mmengine - INFO - Epoch(train) [15][160/2505] lr: 4.7000e-04 eta: 1 day, 6:45:06 time: 1.0877 data_time: 0.4577 memory: 32703 grad_norm: 22.4030 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7514 loss: 1.7514 2022/07/29 22:11:03 - mmengine - INFO - Epoch(train) [15][180/2505] lr: 4.7000e-04 eta: 1 day, 6:44:54 time: 1.1514 data_time: 0.3564 memory: 32703 grad_norm: 22.3895 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4743 loss: 1.4743 2022/07/29 22:11:18 - mmengine - INFO - Epoch(train) [15][200/2505] lr: 4.7000e-04 eta: 1 day, 6:44:19 time: 0.7566 data_time: 0.1445 memory: 32703 grad_norm: 22.8682 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5884 loss: 1.5884 2022/07/29 22:11:39 - mmengine - INFO - Epoch(train) [15][220/2505] lr: 4.7000e-04 eta: 1 day, 6:44:02 time: 1.0524 data_time: 0.4273 memory: 32703 grad_norm: 22.5106 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5020 loss: 1.5020 2022/07/29 22:11:57 - mmengine - INFO - Epoch(train) [15][240/2505] lr: 4.7000e-04 eta: 1 day, 6:43:35 time: 0.8971 data_time: 0.2398 memory: 32703 grad_norm: 21.5758 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6355 loss: 1.6355 2022/07/29 22:12:18 - mmengine - INFO - Epoch(train) [15][260/2505] lr: 4.7000e-04 eta: 1 day, 6:43:17 time: 1.0399 data_time: 0.3759 memory: 32703 grad_norm: 22.0616 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5378 loss: 1.5378 2022/07/29 22:12:37 - mmengine - INFO - Epoch(train) [15][280/2505] lr: 4.7000e-04 eta: 1 day, 6:42:54 time: 0.9623 data_time: 0.2374 memory: 32703 grad_norm: 22.1919 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7454 loss: 1.7454 2022/07/29 22:13:00 - mmengine - INFO - Epoch(train) [15][300/2505] lr: 4.7000e-04 eta: 1 day, 6:42:44 time: 1.1706 data_time: 0.2056 memory: 32703 grad_norm: 22.5052 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5697 loss: 1.5697 2022/07/29 22:13:18 - mmengine - INFO - Epoch(train) [15][320/2505] lr: 4.7000e-04 eta: 1 day, 6:42:17 time: 0.9004 data_time: 0.0450 memory: 32703 grad_norm: 23.5500 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6088 loss: 1.6088 2022/07/29 22:13:39 - mmengine - INFO - Epoch(train) [15][340/2505] lr: 4.7000e-04 eta: 1 day, 6:41:59 time: 1.0262 data_time: 0.2883 memory: 32703 grad_norm: 23.0761 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5867 loss: 1.5867 2022/07/29 22:14:01 - mmengine - INFO - Epoch(train) [15][360/2505] lr: 4.7000e-04 eta: 1 day, 6:41:43 time: 1.0786 data_time: 0.0262 memory: 32703 grad_norm: 21.7543 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5223 loss: 1.5223 2022/07/29 22:14:20 - mmengine - INFO - Epoch(train) [15][380/2505] lr: 4.7000e-04 eta: 1 day, 6:41:20 time: 0.9675 data_time: 0.0301 memory: 32703 grad_norm: 22.4888 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.9666 loss: 1.9666 2022/07/29 22:14:38 - mmengine - INFO - Epoch(train) [15][400/2505] lr: 4.7000e-04 eta: 1 day, 6:40:55 time: 0.9199 data_time: 0.0280 memory: 32703 grad_norm: 21.9628 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5486 loss: 1.5486 2022/07/29 22:14:58 - mmengine - INFO - Epoch(train) [15][420/2505] lr: 4.7000e-04 eta: 1 day, 6:40:34 time: 0.9971 data_time: 0.0267 memory: 32703 grad_norm: 22.2042 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6426 loss: 1.6426 2022/07/29 22:15:19 - mmengine - INFO - Epoch(train) [15][440/2505] lr: 4.7000e-04 eta: 1 day, 6:40:15 time: 1.0114 data_time: 0.0305 memory: 32703 grad_norm: 22.0837 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5821 loss: 1.5821 2022/07/29 22:15:38 - mmengine - INFO - Epoch(train) [15][460/2505] lr: 4.7000e-04 eta: 1 day, 6:39:51 time: 0.9533 data_time: 0.0285 memory: 32703 grad_norm: 21.0843 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4347 loss: 1.4347 2022/07/29 22:16:02 - mmengine - INFO - Epoch(train) [15][480/2505] lr: 4.7000e-04 eta: 1 day, 6:39:44 time: 1.2095 data_time: 0.1443 memory: 32703 grad_norm: 22.8676 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5967 loss: 1.5967 2022/07/29 22:16:17 - mmengine - INFO - Epoch(train) [15][500/2505] lr: 4.7000e-04 eta: 1 day, 6:39:09 time: 0.7713 data_time: 0.0292 memory: 32703 grad_norm: 22.3031 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7068 loss: 1.7068 2022/07/29 22:16:38 - mmengine - INFO - Epoch(train) [15][520/2505] lr: 4.7000e-04 eta: 1 day, 6:38:52 time: 1.0583 data_time: 0.0282 memory: 32703 grad_norm: 22.0436 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7106 loss: 1.7106 2022/07/29 22:16:56 - mmengine - INFO - Epoch(train) [15][540/2505] lr: 4.7000e-04 eta: 1 day, 6:38:26 time: 0.9014 data_time: 0.0262 memory: 32703 grad_norm: 21.9413 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5926 loss: 1.5926 2022/07/29 22:17:17 - mmengine - INFO - Epoch(train) [15][560/2505] lr: 4.7000e-04 eta: 1 day, 6:38:06 time: 1.0125 data_time: 0.0329 memory: 32703 grad_norm: 21.6296 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8375 loss: 1.8375 2022/07/29 22:17:35 - mmengine - INFO - Epoch(train) [15][580/2505] lr: 4.7000e-04 eta: 1 day, 6:37:41 time: 0.9241 data_time: 0.0353 memory: 32703 grad_norm: 22.7472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6657 loss: 1.6657 2022/07/29 22:17:57 - mmengine - INFO - Epoch(train) [15][600/2505] lr: 4.7000e-04 eta: 1 day, 6:37:26 time: 1.0911 data_time: 0.0302 memory: 32703 grad_norm: 22.5490 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1848 loss: 1.1848 2022/07/29 22:18:14 - mmengine - INFO - Epoch(train) [15][620/2505] lr: 4.7000e-04 eta: 1 day, 6:36:57 time: 0.8615 data_time: 0.0270 memory: 32703 grad_norm: 22.3760 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4010 loss: 1.4010 2022/07/29 22:18:35 - mmengine - INFO - Epoch(train) [15][640/2505] lr: 4.7000e-04 eta: 1 day, 6:36:39 time: 1.0421 data_time: 0.1016 memory: 32703 grad_norm: 22.8951 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.7519 loss: 1.7519 2022/07/29 22:18:53 - mmengine - INFO - Epoch(train) [15][660/2505] lr: 4.7000e-04 eta: 1 day, 6:36:11 time: 0.8773 data_time: 0.1088 memory: 32703 grad_norm: 22.2595 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5567 loss: 1.5567 2022/07/29 22:19:13 - mmengine - INFO - Epoch(train) [15][680/2505] lr: 4.7000e-04 eta: 1 day, 6:35:52 time: 1.0239 data_time: 0.2372 memory: 32703 grad_norm: 21.9998 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5251 loss: 1.5251 2022/07/29 22:19:31 - mmengine - INFO - Epoch(train) [15][700/2505] lr: 4.7000e-04 eta: 1 day, 6:35:27 time: 0.9162 data_time: 0.1730 memory: 32703 grad_norm: 21.8985 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4153 loss: 1.4153 2022/07/29 22:19:52 - mmengine - INFO - Epoch(train) [15][720/2505] lr: 4.7000e-04 eta: 1 day, 6:35:07 time: 1.0188 data_time: 0.3277 memory: 32703 grad_norm: 22.6513 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5776 loss: 1.5776 2022/07/29 22:20:11 - mmengine - INFO - Epoch(train) [15][740/2505] lr: 4.7000e-04 eta: 1 day, 6:34:45 time: 0.9659 data_time: 0.2906 memory: 32703 grad_norm: 21.6997 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4743 loss: 1.4743 2022/07/29 22:20:31 - mmengine - INFO - Epoch(train) [15][760/2505] lr: 4.7000e-04 eta: 1 day, 6:34:25 time: 1.0102 data_time: 0.3325 memory: 32703 grad_norm: 21.7389 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.4810 loss: 1.4810 2022/07/29 22:20:53 - mmengine - INFO - Epoch(train) [15][780/2505] lr: 4.7000e-04 eta: 1 day, 6:34:09 time: 1.0707 data_time: 0.1227 memory: 32703 grad_norm: 22.1375 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5393 loss: 1.5393 2022/07/29 22:21:13 - mmengine - INFO - Epoch(train) [15][800/2505] lr: 4.7000e-04 eta: 1 day, 6:33:50 time: 1.0312 data_time: 0.0264 memory: 32703 grad_norm: 21.8585 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6517 loss: 1.6517 2022/07/29 22:21:31 - mmengine - INFO - Epoch(train) [15][820/2505] lr: 4.7000e-04 eta: 1 day, 6:33:22 time: 0.8780 data_time: 0.0281 memory: 32703 grad_norm: 22.4563 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7039 loss: 1.7039 2022/07/29 22:21:52 - mmengine - INFO - Epoch(train) [15][840/2505] lr: 4.7000e-04 eta: 1 day, 6:33:05 time: 1.0495 data_time: 0.0314 memory: 32703 grad_norm: 21.8295 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5601 loss: 1.5601 2022/07/29 22:22:09 - mmengine - INFO - Epoch(train) [15][860/2505] lr: 4.7000e-04 eta: 1 day, 6:32:35 time: 0.8406 data_time: 0.0288 memory: 32703 grad_norm: 21.4845 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.7449 loss: 1.7449 2022/07/29 22:22:31 - mmengine - INFO - Epoch(train) [15][880/2505] lr: 4.7000e-04 eta: 1 day, 6:32:21 time: 1.1084 data_time: 0.1027 memory: 32703 grad_norm: 21.6600 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7345 loss: 1.7345 2022/07/29 22:22:50 - mmengine - INFO - Epoch(train) [15][900/2505] lr: 4.7000e-04 eta: 1 day, 6:31:58 time: 0.9619 data_time: 0.0275 memory: 32703 grad_norm: 22.0316 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6146 loss: 1.6146 2022/07/29 22:23:10 - mmengine - INFO - Epoch(train) [15][920/2505] lr: 4.7000e-04 eta: 1 day, 6:31:38 time: 1.0035 data_time: 0.0306 memory: 32703 grad_norm: 22.6034 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7417 loss: 1.7417 2022/07/29 22:23:19 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 22:23:29 - mmengine - INFO - Epoch(train) [15][940/2505] lr: 4.7000e-04 eta: 1 day, 6:31:13 time: 0.9182 data_time: 0.0269 memory: 32703 grad_norm: 22.5427 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3780 loss: 1.3780 2022/07/29 22:23:49 - mmengine - INFO - Epoch(train) [15][960/2505] lr: 4.7000e-04 eta: 1 day, 6:30:53 time: 1.0175 data_time: 0.0283 memory: 32703 grad_norm: 20.6590 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4769 loss: 1.4769 2022/07/29 22:24:08 - mmengine - INFO - Epoch(train) [15][980/2505] lr: 4.7000e-04 eta: 1 day, 6:30:29 time: 0.9436 data_time: 0.0255 memory: 32703 grad_norm: 21.6907 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6280 loss: 1.6280 2022/07/29 22:24:28 - mmengine - INFO - Epoch(train) [15][1000/2505] lr: 4.7000e-04 eta: 1 day, 6:30:09 time: 1.0006 data_time: 0.0309 memory: 32703 grad_norm: 22.2337 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6066 loss: 1.6066 2022/07/29 22:24:46 - mmengine - INFO - Epoch(train) [15][1020/2505] lr: 4.7000e-04 eta: 1 day, 6:29:44 time: 0.9223 data_time: 0.0275 memory: 32703 grad_norm: 22.4699 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2889 loss: 1.2889 2022/07/29 22:25:08 - mmengine - INFO - Epoch(train) [15][1040/2505] lr: 4.7000e-04 eta: 1 day, 6:29:27 time: 1.0680 data_time: 0.0279 memory: 32703 grad_norm: 22.3379 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6070 loss: 1.6070 2022/07/29 22:25:26 - mmengine - INFO - Epoch(train) [15][1060/2505] lr: 4.7000e-04 eta: 1 day, 6:29:01 time: 0.9012 data_time: 0.0253 memory: 32703 grad_norm: 21.6981 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5656 loss: 1.5656 2022/07/29 22:25:47 - mmengine - INFO - Epoch(train) [15][1080/2505] lr: 4.7000e-04 eta: 1 day, 6:28:45 time: 1.0746 data_time: 0.0265 memory: 32703 grad_norm: 21.5764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4612 loss: 1.4612 2022/07/29 22:26:05 - mmengine - INFO - Epoch(train) [15][1100/2505] lr: 4.7000e-04 eta: 1 day, 6:28:19 time: 0.9000 data_time: 0.0286 memory: 32703 grad_norm: 22.1443 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5508 loss: 1.5508 2022/07/29 22:26:28 - mmengine - INFO - Epoch(train) [15][1120/2505] lr: 4.7000e-04 eta: 1 day, 6:28:08 time: 1.1604 data_time: 0.0395 memory: 32703 grad_norm: 21.6005 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4389 loss: 1.4389 2022/07/29 22:26:45 - mmengine - INFO - Epoch(train) [15][1140/2505] lr: 4.7000e-04 eta: 1 day, 6:27:39 time: 0.8523 data_time: 0.0303 memory: 32703 grad_norm: 21.6331 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6131 loss: 1.6131 2022/07/29 22:27:07 - mmengine - INFO - Epoch(train) [15][1160/2505] lr: 4.7000e-04 eta: 1 day, 6:27:23 time: 1.0791 data_time: 0.0281 memory: 32703 grad_norm: 22.0621 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5151 loss: 1.5151 2022/07/29 22:27:26 - mmengine - INFO - Epoch(train) [15][1180/2505] lr: 4.7000e-04 eta: 1 day, 6:27:00 time: 0.9593 data_time: 0.0263 memory: 32703 grad_norm: 22.0736 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5590 loss: 1.5590 2022/07/29 22:27:47 - mmengine - INFO - Epoch(train) [15][1200/2505] lr: 4.7000e-04 eta: 1 day, 6:26:42 time: 1.0390 data_time: 0.0274 memory: 32703 grad_norm: 23.3245 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8383 loss: 1.8383 2022/07/29 22:28:04 - mmengine - INFO - Epoch(train) [15][1220/2505] lr: 4.7000e-04 eta: 1 day, 6:26:14 time: 0.8700 data_time: 0.0338 memory: 32703 grad_norm: 22.6597 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7476 loss: 1.7476 2022/07/29 22:28:25 - mmengine - INFO - Epoch(train) [15][1240/2505] lr: 4.7000e-04 eta: 1 day, 6:25:55 time: 1.0296 data_time: 0.0273 memory: 32703 grad_norm: 21.3874 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3972 loss: 1.3972 2022/07/29 22:28:42 - mmengine - INFO - Epoch(train) [15][1260/2505] lr: 4.7000e-04 eta: 1 day, 6:25:27 time: 0.8731 data_time: 0.0270 memory: 32703 grad_norm: 21.7306 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5770 loss: 1.5770 2022/07/29 22:29:05 - mmengine - INFO - Epoch(train) [15][1280/2505] lr: 4.7000e-04 eta: 1 day, 6:25:14 time: 1.1213 data_time: 0.0289 memory: 32703 grad_norm: 22.1087 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5336 loss: 1.5336 2022/07/29 22:29:23 - mmengine - INFO - Epoch(train) [15][1300/2505] lr: 4.7000e-04 eta: 1 day, 6:24:48 time: 0.9080 data_time: 0.0273 memory: 32703 grad_norm: 23.4530 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5954 loss: 1.5954 2022/07/29 22:29:44 - mmengine - INFO - Epoch(train) [15][1320/2505] lr: 4.7000e-04 eta: 1 day, 6:24:31 time: 1.0621 data_time: 0.0326 memory: 32703 grad_norm: 22.4462 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7455 loss: 1.7455 2022/07/29 22:30:01 - mmengine - INFO - Epoch(train) [15][1340/2505] lr: 4.7000e-04 eta: 1 day, 6:24:01 time: 0.8364 data_time: 0.0278 memory: 32703 grad_norm: 21.0872 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7789 loss: 1.7789 2022/07/29 22:30:24 - mmengine - INFO - Epoch(train) [15][1360/2505] lr: 4.7000e-04 eta: 1 day, 6:23:47 time: 1.1146 data_time: 0.0301 memory: 32703 grad_norm: 21.7406 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5650 loss: 1.5650 2022/07/29 22:30:40 - mmengine - INFO - Epoch(train) [15][1380/2505] lr: 4.7000e-04 eta: 1 day, 6:23:18 time: 0.8465 data_time: 0.0456 memory: 32703 grad_norm: 20.9121 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5856 loss: 1.5856 2022/07/29 22:31:01 - mmengine - INFO - Epoch(train) [15][1400/2505] lr: 4.7000e-04 eta: 1 day, 6:23:01 time: 1.0558 data_time: 0.0334 memory: 32703 grad_norm: 21.9125 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5814 loss: 1.5814 2022/07/29 22:31:19 - mmengine - INFO - Epoch(train) [15][1420/2505] lr: 4.7000e-04 eta: 1 day, 6:22:32 time: 0.8671 data_time: 0.0327 memory: 32703 grad_norm: 21.7415 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5778 loss: 1.5778 2022/07/29 22:31:40 - mmengine - INFO - Epoch(train) [15][1440/2505] lr: 4.7000e-04 eta: 1 day, 6:22:15 time: 1.0488 data_time: 0.0447 memory: 32703 grad_norm: 21.4147 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.6727 loss: 1.6727 2022/07/29 22:32:00 - mmengine - INFO - Epoch(train) [15][1460/2505] lr: 4.7000e-04 eta: 1 day, 6:21:54 time: 0.9934 data_time: 0.0310 memory: 32703 grad_norm: 21.5746 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4220 loss: 1.4220 2022/07/29 22:32:20 - mmengine - INFO - Epoch(train) [15][1480/2505] lr: 4.7000e-04 eta: 1 day, 6:21:34 time: 1.0075 data_time: 0.0322 memory: 32703 grad_norm: 22.3570 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6576 loss: 1.6576 2022/07/29 22:32:41 - mmengine - INFO - Epoch(train) [15][1500/2505] lr: 4.7000e-04 eta: 1 day, 6:21:17 time: 1.0575 data_time: 0.0272 memory: 32703 grad_norm: 21.4394 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6537 loss: 1.6537 2022/07/29 22:32:59 - mmengine - INFO - Epoch(train) [15][1520/2505] lr: 4.7000e-04 eta: 1 day, 6:20:53 time: 0.9283 data_time: 0.0362 memory: 32703 grad_norm: 22.7476 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5534 loss: 1.5534 2022/07/29 22:33:19 - mmengine - INFO - Epoch(train) [15][1540/2505] lr: 4.7000e-04 eta: 1 day, 6:20:31 time: 0.9835 data_time: 0.0356 memory: 32703 grad_norm: 20.6459 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6074 loss: 1.6074 2022/07/29 22:33:37 - mmengine - INFO - Epoch(train) [15][1560/2505] lr: 4.7000e-04 eta: 1 day, 6:20:06 time: 0.9182 data_time: 0.0312 memory: 32703 grad_norm: 21.8489 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2164 loss: 1.2164 2022/07/29 22:33:59 - mmengine - INFO - Epoch(train) [15][1580/2505] lr: 4.7000e-04 eta: 1 day, 6:19:49 time: 1.0574 data_time: 0.0302 memory: 32703 grad_norm: 22.1436 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6288 loss: 1.6288 2022/07/29 22:34:17 - mmengine - INFO - Epoch(train) [15][1600/2505] lr: 4.7000e-04 eta: 1 day, 6:19:24 time: 0.9256 data_time: 0.0310 memory: 32703 grad_norm: 21.4102 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6243 loss: 1.6243 2022/07/29 22:34:44 - mmengine - INFO - Epoch(train) [15][1620/2505] lr: 4.7000e-04 eta: 1 day, 6:19:23 time: 1.3295 data_time: 0.4036 memory: 32703 grad_norm: 21.8458 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4150 loss: 1.4150 2022/07/29 22:34:59 - mmengine - INFO - Epoch(train) [15][1640/2505] lr: 4.7000e-04 eta: 1 day, 6:18:49 time: 0.7743 data_time: 0.0692 memory: 32703 grad_norm: 22.4136 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7614 loss: 1.7614 2022/07/29 22:35:19 - mmengine - INFO - Epoch(train) [15][1660/2505] lr: 4.7000e-04 eta: 1 day, 6:18:28 time: 0.9798 data_time: 0.0390 memory: 32703 grad_norm: 22.8477 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4557 loss: 1.4557 2022/07/29 22:35:39 - mmengine - INFO - Epoch(train) [15][1680/2505] lr: 4.7000e-04 eta: 1 day, 6:18:10 time: 1.0354 data_time: 0.0580 memory: 32703 grad_norm: 21.0358 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4962 loss: 1.4962 2022/07/29 22:35:58 - mmengine - INFO - Epoch(train) [15][1700/2505] lr: 4.7000e-04 eta: 1 day, 6:17:45 time: 0.9291 data_time: 0.1060 memory: 32703 grad_norm: 22.0687 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.5469 loss: 1.5469 2022/07/29 22:36:18 - mmengine - INFO - Epoch(train) [15][1720/2505] lr: 4.7000e-04 eta: 1 day, 6:17:25 time: 1.0096 data_time: 0.1676 memory: 32703 grad_norm: 22.7667 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6510 loss: 1.6510 2022/07/29 22:36:38 - mmengine - INFO - Epoch(train) [15][1740/2505] lr: 4.7000e-04 eta: 1 day, 6:17:03 time: 0.9722 data_time: 0.2193 memory: 32703 grad_norm: 21.0830 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5751 loss: 1.5751 2022/07/29 22:36:58 - mmengine - INFO - Epoch(train) [15][1760/2505] lr: 4.7000e-04 eta: 1 day, 6:16:43 time: 1.0023 data_time: 0.1181 memory: 32703 grad_norm: 21.7387 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.5117 loss: 1.5117 2022/07/29 22:37:17 - mmengine - INFO - Epoch(train) [15][1780/2505] lr: 4.7000e-04 eta: 1 day, 6:16:19 time: 0.9491 data_time: 0.0327 memory: 32703 grad_norm: 22.3101 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5945 loss: 1.5945 2022/07/29 22:37:37 - mmengine - INFO - Epoch(train) [15][1800/2505] lr: 4.7000e-04 eta: 1 day, 6:16:00 time: 1.0186 data_time: 0.0296 memory: 32703 grad_norm: 21.0433 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6105 loss: 1.6105 2022/07/29 22:37:58 - mmengine - INFO - Epoch(train) [15][1820/2505] lr: 4.7000e-04 eta: 1 day, 6:15:41 time: 1.0202 data_time: 0.0309 memory: 32703 grad_norm: 22.1303 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.7683 loss: 1.7683 2022/07/29 22:38:15 - mmengine - INFO - Epoch(train) [15][1840/2505] lr: 4.7000e-04 eta: 1 day, 6:15:12 time: 0.8517 data_time: 0.0298 memory: 32703 grad_norm: 21.1541 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4680 loss: 1.4680 2022/07/29 22:38:35 - mmengine - INFO - Epoch(train) [15][1860/2505] lr: 4.7000e-04 eta: 1 day, 6:14:53 time: 1.0291 data_time: 0.0283 memory: 32703 grad_norm: 21.9319 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4088 loss: 1.4088 2022/07/29 22:38:53 - mmengine - INFO - Epoch(train) [15][1880/2505] lr: 4.7000e-04 eta: 1 day, 6:14:26 time: 0.8880 data_time: 0.0303 memory: 32703 grad_norm: 22.8483 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6525 loss: 1.6525 2022/07/29 22:39:14 - mmengine - INFO - Epoch(train) [15][1900/2505] lr: 4.7000e-04 eta: 1 day, 6:14:08 time: 1.0383 data_time: 0.0299 memory: 32703 grad_norm: 22.1074 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7532 loss: 1.7532 2022/07/29 22:39:33 - mmengine - INFO - Epoch(train) [15][1920/2505] lr: 4.7000e-04 eta: 1 day, 6:13:45 time: 0.9460 data_time: 0.0299 memory: 32703 grad_norm: 20.8652 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4651 loss: 1.4651 2022/07/29 22:39:45 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 22:39:53 - mmengine - INFO - Epoch(train) [15][1940/2505] lr: 4.7000e-04 eta: 1 day, 6:13:26 time: 1.0350 data_time: 0.0318 memory: 32703 grad_norm: 22.3001 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6867 loss: 1.6867 2022/07/29 22:40:12 - mmengine - INFO - Epoch(train) [15][1960/2505] lr: 4.7000e-04 eta: 1 day, 6:13:03 time: 0.9507 data_time: 0.0283 memory: 32703 grad_norm: 20.9912 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6828 loss: 1.6828 2022/07/29 22:40:32 - mmengine - INFO - Epoch(train) [15][1980/2505] lr: 4.7000e-04 eta: 1 day, 6:12:42 time: 0.9900 data_time: 0.0312 memory: 32703 grad_norm: 21.8405 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5288 loss: 1.5288 2022/07/29 22:40:50 - mmengine - INFO - Epoch(train) [15][2000/2505] lr: 4.7000e-04 eta: 1 day, 6:12:16 time: 0.8998 data_time: 0.0280 memory: 32703 grad_norm: 21.6540 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5922 loss: 1.5922 2022/07/29 22:41:11 - mmengine - INFO - Epoch(train) [15][2020/2505] lr: 4.7000e-04 eta: 1 day, 6:11:58 time: 1.0435 data_time: 0.0299 memory: 32703 grad_norm: 22.0859 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4042 loss: 1.4042 2022/07/29 22:41:29 - mmengine - INFO - Epoch(train) [15][2040/2505] lr: 4.7000e-04 eta: 1 day, 6:11:32 time: 0.9135 data_time: 0.0582 memory: 32703 grad_norm: 23.0589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6747 loss: 1.6747 2022/07/29 22:41:51 - mmengine - INFO - Epoch(train) [15][2060/2505] lr: 4.7000e-04 eta: 1 day, 6:11:17 time: 1.0900 data_time: 0.1398 memory: 32703 grad_norm: 21.7351 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4908 loss: 1.4908 2022/07/29 22:42:10 - mmengine - INFO - Epoch(train) [15][2080/2505] lr: 4.7000e-04 eta: 1 day, 6:10:53 time: 0.9399 data_time: 0.1741 memory: 32703 grad_norm: 20.2967 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4054 loss: 1.4054 2022/07/29 22:42:31 - mmengine - INFO - Epoch(train) [15][2100/2505] lr: 4.7000e-04 eta: 1 day, 6:10:35 time: 1.0410 data_time: 0.3331 memory: 32703 grad_norm: 21.8886 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7496 loss: 1.7496 2022/07/29 22:42:49 - mmengine - INFO - Epoch(train) [15][2120/2505] lr: 4.7000e-04 eta: 1 day, 6:10:09 time: 0.8970 data_time: 0.1485 memory: 32703 grad_norm: 22.1383 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 1.6667 loss: 1.6667 2022/07/29 22:43:09 - mmengine - INFO - Epoch(train) [15][2140/2505] lr: 4.7000e-04 eta: 1 day, 6:09:49 time: 1.0040 data_time: 0.0970 memory: 32703 grad_norm: 22.0459 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4301 loss: 1.4301 2022/07/29 22:43:27 - mmengine - INFO - Epoch(train) [15][2160/2505] lr: 4.7000e-04 eta: 1 day, 6:09:24 time: 0.9291 data_time: 0.0283 memory: 32703 grad_norm: 22.5603 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7006 loss: 1.7006 2022/07/29 22:43:48 - mmengine - INFO - Epoch(train) [15][2180/2505] lr: 4.7000e-04 eta: 1 day, 6:09:06 time: 1.0258 data_time: 0.0474 memory: 32703 grad_norm: 21.8784 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7326 loss: 1.7326 2022/07/29 22:44:07 - mmengine - INFO - Epoch(train) [15][2200/2505] lr: 4.7000e-04 eta: 1 day, 6:08:44 time: 0.9701 data_time: 0.0267 memory: 32703 grad_norm: 22.0085 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4669 loss: 1.4669 2022/07/29 22:44:27 - mmengine - INFO - Epoch(train) [15][2220/2505] lr: 4.7000e-04 eta: 1 day, 6:08:23 time: 0.9971 data_time: 0.0287 memory: 32703 grad_norm: 21.2477 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4907 loss: 1.4907 2022/07/29 22:44:46 - mmengine - INFO - Epoch(train) [15][2240/2505] lr: 4.7000e-04 eta: 1 day, 6:07:59 time: 0.9348 data_time: 0.0297 memory: 32703 grad_norm: 22.9126 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4749 loss: 1.4749 2022/07/29 22:45:07 - mmengine - INFO - Epoch(train) [15][2260/2505] lr: 4.7000e-04 eta: 1 day, 6:07:43 time: 1.0749 data_time: 0.0276 memory: 32703 grad_norm: 22.3297 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5534 loss: 1.5534 2022/07/29 22:45:27 - mmengine - INFO - Epoch(train) [15][2280/2505] lr: 4.7000e-04 eta: 1 day, 6:07:23 time: 1.0027 data_time: 0.0265 memory: 32703 grad_norm: 21.2028 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.9022 loss: 1.9022 2022/07/29 22:45:49 - mmengine - INFO - Epoch(train) [15][2300/2505] lr: 4.7000e-04 eta: 1 day, 6:07:06 time: 1.0706 data_time: 0.0282 memory: 32703 grad_norm: 21.7643 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7098 loss: 1.7098 2022/07/29 22:46:06 - mmengine - INFO - Epoch(train) [15][2320/2505] lr: 4.7000e-04 eta: 1 day, 6:06:37 time: 0.8463 data_time: 0.0249 memory: 32703 grad_norm: 21.6228 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4673 loss: 1.4673 2022/07/29 22:46:27 - mmengine - INFO - Epoch(train) [15][2340/2505] lr: 4.7000e-04 eta: 1 day, 6:06:21 time: 1.0783 data_time: 0.0274 memory: 32703 grad_norm: 20.8602 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6793 loss: 1.6793 2022/07/29 22:46:45 - mmengine - INFO - Epoch(train) [15][2360/2505] lr: 4.7000e-04 eta: 1 day, 6:05:53 time: 0.8664 data_time: 0.0249 memory: 32703 grad_norm: 21.7534 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6296 loss: 1.6296 2022/07/29 22:47:05 - mmengine - INFO - Epoch(train) [15][2380/2505] lr: 4.7000e-04 eta: 1 day, 6:05:33 time: 1.0019 data_time: 0.0396 memory: 32703 grad_norm: 22.4627 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7031 loss: 1.7031 2022/07/29 22:47:23 - mmengine - INFO - Epoch(train) [15][2400/2505] lr: 4.7000e-04 eta: 1 day, 6:05:08 time: 0.9147 data_time: 0.0341 memory: 32703 grad_norm: 21.7421 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6320 loss: 1.6320 2022/07/29 22:47:44 - mmengine - INFO - Epoch(train) [15][2420/2505] lr: 4.7000e-04 eta: 1 day, 6:04:49 time: 1.0367 data_time: 0.0299 memory: 32703 grad_norm: 21.9817 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7300 loss: 1.7300 2022/07/29 22:48:02 - mmengine - INFO - Epoch(train) [15][2440/2505] lr: 4.7000e-04 eta: 1 day, 6:04:25 time: 0.9290 data_time: 0.0267 memory: 32703 grad_norm: 21.2867 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7070 loss: 1.7070 2022/07/29 22:48:23 - mmengine - INFO - Epoch(train) [15][2460/2505] lr: 4.7000e-04 eta: 1 day, 6:04:07 time: 1.0393 data_time: 0.0323 memory: 32703 grad_norm: 22.3764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6959 loss: 1.6959 2022/07/29 22:48:42 - mmengine - INFO - Epoch(train) [15][2480/2505] lr: 4.7000e-04 eta: 1 day, 6:03:43 time: 0.9420 data_time: 0.0313 memory: 32703 grad_norm: 21.9911 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7821 loss: 1.7821 2022/07/29 22:48:59 - mmengine - INFO - Epoch(train) [15][2500/2505] lr: 4.7000e-04 eta: 1 day, 6:03:15 time: 0.8566 data_time: 0.0370 memory: 32703 grad_norm: 21.4678 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.6897 loss: 1.6897 2022/07/29 22:49:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 22:49:02 - mmengine - INFO - Epoch(train) [15][2505/2505] lr: 4.7000e-04 eta: 1 day, 6:03:15 time: 0.6864 data_time: 0.0246 memory: 32703 grad_norm: 22.1526 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.8012 loss: 1.8012 2022/07/29 22:49:04 - mmengine - INFO - Epoch(val) [15][20/2475] eta: 0:04:40 time: 0.1141 data_time: 0.0868 memory: 817 2022/07/29 22:49:06 - mmengine - INFO - Epoch(val) [15][40/2475] eta: 0:02:53 time: 0.0712 data_time: 0.0388 memory: 817 2022/07/29 22:49:08 - mmengine - INFO - Epoch(val) [15][60/2475] eta: 0:03:46 time: 0.0938 data_time: 0.0655 memory: 817 2022/07/29 22:49:09 - mmengine - INFO - Epoch(val) [15][80/2475] eta: 0:03:02 time: 0.0761 data_time: 0.0488 memory: 817 2022/07/29 22:49:11 - mmengine - INFO - Epoch(val) [15][100/2475] eta: 0:04:02 time: 0.1020 data_time: 0.0738 memory: 817 2022/07/29 22:49:13 - mmengine - INFO - Epoch(val) [15][120/2475] eta: 0:02:57 time: 0.0754 data_time: 0.0467 memory: 817 2022/07/29 22:49:14 - mmengine - INFO - Epoch(val) [15][140/2475] eta: 0:02:49 time: 0.0725 data_time: 0.0441 memory: 817 2022/07/29 22:49:16 - mmengine - INFO - Epoch(val) [15][160/2475] eta: 0:03:23 time: 0.0877 data_time: 0.0591 memory: 817 2022/07/29 22:49:17 - mmengine - INFO - Epoch(val) [15][180/2475] eta: 0:02:42 time: 0.0708 data_time: 0.0405 memory: 817 2022/07/29 22:49:19 - mmengine - INFO - Epoch(val) [15][200/2475] eta: 0:03:28 time: 0.0917 data_time: 0.0641 memory: 817 2022/07/29 22:49:20 - mmengine - INFO - Epoch(val) [15][220/2475] eta: 0:02:35 time: 0.0688 data_time: 0.0423 memory: 817 2022/07/29 22:49:22 - mmengine - INFO - Epoch(val) [15][240/2475] eta: 0:03:35 time: 0.0962 data_time: 0.0696 memory: 817 2022/07/29 22:49:24 - mmengine - INFO - Epoch(val) [15][260/2475] eta: 0:02:43 time: 0.0736 data_time: 0.0466 memory: 817 2022/07/29 22:49:26 - mmengine - INFO - Epoch(val) [15][280/2475] eta: 0:02:58 time: 0.0815 data_time: 0.0517 memory: 817 2022/07/29 22:49:27 - mmengine - INFO - Epoch(val) [15][300/2475] eta: 0:02:34 time: 0.0712 data_time: 0.0437 memory: 817 2022/07/29 22:49:28 - mmengine - INFO - Epoch(val) [15][320/2475] eta: 0:02:31 time: 0.0705 data_time: 0.0434 memory: 817 2022/07/29 22:49:30 - mmengine - INFO - Epoch(val) [15][340/2475] eta: 0:02:48 time: 0.0791 data_time: 0.0524 memory: 817 2022/07/29 22:49:32 - mmengine - INFO - Epoch(val) [15][360/2475] eta: 0:03:46 time: 0.1070 data_time: 0.0807 memory: 817 2022/07/29 22:49:33 - mmengine - INFO - Epoch(val) [15][380/2475] eta: 0:02:14 time: 0.0642 data_time: 0.0381 memory: 817 2022/07/29 22:49:35 - mmengine - INFO - Epoch(val) [15][400/2475] eta: 0:03:32 time: 0.1024 data_time: 0.0715 memory: 817 2022/07/29 22:49:37 - mmengine - INFO - Epoch(val) [15][420/2475] eta: 0:02:09 time: 0.0629 data_time: 0.0349 memory: 817 2022/07/29 22:49:39 - mmengine - INFO - Epoch(val) [15][440/2475] eta: 0:03:09 time: 0.0932 data_time: 0.0643 memory: 817 2022/07/29 22:49:40 - mmengine - INFO - Epoch(val) [15][460/2475] eta: 0:02:10 time: 0.0646 data_time: 0.0377 memory: 817 2022/07/29 22:49:41 - mmengine - INFO - Epoch(val) [15][480/2475] eta: 0:02:38 time: 0.0792 data_time: 0.0510 memory: 817 2022/07/29 22:49:43 - mmengine - INFO - Epoch(val) [15][500/2475] eta: 0:02:28 time: 0.0754 data_time: 0.0464 memory: 817 2022/07/29 22:49:45 - mmengine - INFO - Epoch(val) [15][520/2475] eta: 0:02:34 time: 0.0790 data_time: 0.0527 memory: 817 2022/07/29 22:49:46 - mmengine - INFO - Epoch(val) [15][540/2475] eta: 0:02:46 time: 0.0859 data_time: 0.0581 memory: 817 2022/07/29 22:49:47 - mmengine - INFO - Epoch(val) [15][560/2475] eta: 0:01:54 time: 0.0600 data_time: 0.0324 memory: 817 2022/07/29 22:49:49 - mmengine - INFO - Epoch(val) [15][580/2475] eta: 0:02:44 time: 0.0866 data_time: 0.0586 memory: 817 2022/07/29 22:49:51 - mmengine - INFO - Epoch(val) [15][600/2475] eta: 0:02:14 time: 0.0718 data_time: 0.0440 memory: 817 2022/07/29 22:49:52 - mmengine - INFO - Epoch(val) [15][620/2475] eta: 0:02:33 time: 0.0825 data_time: 0.0537 memory: 817 2022/07/29 22:49:54 - mmengine - INFO - Epoch(val) [15][640/2475] eta: 0:02:24 time: 0.0785 data_time: 0.0511 memory: 817 2022/07/29 22:49:56 - mmengine - INFO - Epoch(val) [15][660/2475] eta: 0:02:57 time: 0.0977 data_time: 0.0659 memory: 817 2022/07/29 22:49:57 - mmengine - INFO - Epoch(val) [15][680/2475] eta: 0:01:59 time: 0.0664 data_time: 0.0386 memory: 817 2022/07/29 22:49:59 - mmengine - INFO - Epoch(val) [15][700/2475] eta: 0:02:47 time: 0.0945 data_time: 0.0680 memory: 817 2022/07/29 22:50:01 - mmengine - INFO - Epoch(val) [15][720/2475] eta: 0:02:33 time: 0.0873 data_time: 0.0609 memory: 817 2022/07/29 22:50:03 - mmengine - INFO - Epoch(val) [15][740/2475] eta: 0:03:29 time: 0.1207 data_time: 0.0928 memory: 817 2022/07/29 22:50:04 - mmengine - INFO - Epoch(val) [15][760/2475] eta: 0:01:44 time: 0.0612 data_time: 0.0340 memory: 817 2022/07/29 22:50:06 - mmengine - INFO - Epoch(val) [15][780/2475] eta: 0:02:33 time: 0.0903 data_time: 0.0539 memory: 817 2022/07/29 22:50:08 - mmengine - INFO - Epoch(val) [15][800/2475] eta: 0:01:50 time: 0.0657 data_time: 0.0388 memory: 817 2022/07/29 22:50:09 - mmengine - INFO - Epoch(val) [15][820/2475] eta: 0:01:59 time: 0.0724 data_time: 0.0462 memory: 817 2022/07/29 22:50:11 - mmengine - INFO - Epoch(val) [15][840/2475] eta: 0:02:37 time: 0.0961 data_time: 0.0696 memory: 817 2022/07/29 22:50:12 - mmengine - INFO - Epoch(val) [15][860/2475] eta: 0:01:51 time: 0.0692 data_time: 0.0412 memory: 817 2022/07/29 22:50:14 - mmengine - INFO - Epoch(val) [15][880/2475] eta: 0:02:48 time: 0.1056 data_time: 0.0781 memory: 817 2022/07/29 22:50:16 - mmengine - INFO - Epoch(val) [15][900/2475] eta: 0:01:56 time: 0.0741 data_time: 0.0452 memory: 817 2022/07/29 22:50:18 - mmengine - INFO - Epoch(val) [15][920/2475] eta: 0:02:39 time: 0.1028 data_time: 0.0736 memory: 817 2022/07/29 22:50:19 - mmengine - INFO - Epoch(val) [15][940/2475] eta: 0:01:52 time: 0.0730 data_time: 0.0438 memory: 817 2022/07/29 22:50:21 - mmengine - INFO - Epoch(val) [15][960/2475] eta: 0:02:06 time: 0.0838 data_time: 0.0555 memory: 817 2022/07/29 22:50:23 - mmengine - INFO - Epoch(val) [15][980/2475] eta: 0:01:59 time: 0.0798 data_time: 0.0518 memory: 817 2022/07/29 22:50:24 - mmengine - INFO - Epoch(val) [15][1000/2475] eta: 0:01:48 time: 0.0737 data_time: 0.0463 memory: 817 2022/07/29 22:50:26 - mmengine - INFO - Epoch(val) [15][1020/2475] eta: 0:01:58 time: 0.0816 data_time: 0.0443 memory: 817 2022/07/29 22:50:28 - mmengine - INFO - Epoch(val) [15][1040/2475] eta: 0:02:07 time: 0.0888 data_time: 0.0604 memory: 817 2022/07/29 22:50:29 - mmengine - INFO - Epoch(val) [15][1060/2475] eta: 0:01:50 time: 0.0778 data_time: 0.0507 memory: 817 2022/07/29 22:50:31 - mmengine - INFO - Epoch(val) [15][1080/2475] eta: 0:02:05 time: 0.0900 data_time: 0.0628 memory: 817 2022/07/29 22:50:32 - mmengine - INFO - Epoch(val) [15][1100/2475] eta: 0:01:30 time: 0.0660 data_time: 0.0385 memory: 817 2022/07/29 22:50:34 - mmengine - INFO - Epoch(val) [15][1120/2475] eta: 0:02:11 time: 0.0974 data_time: 0.0714 memory: 817 2022/07/29 22:50:36 - mmengine - INFO - Epoch(val) [15][1140/2475] eta: 0:01:38 time: 0.0739 data_time: 0.0474 memory: 817 2022/07/29 22:50:37 - mmengine - INFO - Epoch(val) [15][1160/2475] eta: 0:01:46 time: 0.0811 data_time: 0.0547 memory: 817 2022/07/29 22:50:39 - mmengine - INFO - Epoch(val) [15][1180/2475] eta: 0:01:27 time: 0.0679 data_time: 0.0408 memory: 817 2022/07/29 22:50:40 - mmengine - INFO - Epoch(val) [15][1200/2475] eta: 0:01:51 time: 0.0877 data_time: 0.0608 memory: 817 2022/07/29 22:50:42 - mmengine - INFO - Epoch(val) [15][1220/2475] eta: 0:01:22 time: 0.0657 data_time: 0.0387 memory: 817 2022/07/29 22:50:44 - mmengine - INFO - Epoch(val) [15][1240/2475] eta: 0:02:18 time: 0.1121 data_time: 0.0861 memory: 817 2022/07/29 22:50:46 - mmengine - INFO - Epoch(val) [15][1260/2475] eta: 0:01:45 time: 0.0869 data_time: 0.0494 memory: 817 2022/07/29 22:50:47 - mmengine - INFO - Epoch(val) [15][1280/2475] eta: 0:01:30 time: 0.0761 data_time: 0.0452 memory: 817 2022/07/29 22:50:49 - mmengine - INFO - Epoch(val) [15][1300/2475] eta: 0:01:35 time: 0.0816 data_time: 0.0516 memory: 817 2022/07/29 22:50:51 - mmengine - INFO - Epoch(val) [15][1320/2475] eta: 0:01:43 time: 0.0900 data_time: 0.0600 memory: 817 2022/07/29 22:50:52 - mmengine - INFO - Epoch(val) [15][1340/2475] eta: 0:01:08 time: 0.0604 data_time: 0.0324 memory: 817 2022/07/29 22:50:54 - mmengine - INFO - Epoch(val) [15][1360/2475] eta: 0:01:36 time: 0.0865 data_time: 0.0576 memory: 817 2022/07/29 22:50:55 - mmengine - INFO - Epoch(val) [15][1380/2475] eta: 0:01:29 time: 0.0818 data_time: 0.0536 memory: 817 2022/07/29 22:50:57 - mmengine - INFO - Epoch(val) [15][1400/2475] eta: 0:01:25 time: 0.0797 data_time: 0.0509 memory: 817 2022/07/29 22:50:58 - mmengine - INFO - Epoch(val) [15][1420/2475] eta: 0:01:23 time: 0.0788 data_time: 0.0534 memory: 817 2022/07/29 22:51:00 - mmengine - INFO - Epoch(val) [15][1440/2475] eta: 0:01:39 time: 0.0966 data_time: 0.0680 memory: 817 2022/07/29 22:51:02 - mmengine - INFO - Epoch(val) [15][1460/2475] eta: 0:01:07 time: 0.0666 data_time: 0.0400 memory: 817 2022/07/29 22:51:04 - mmengine - INFO - Epoch(val) [15][1480/2475] eta: 0:01:42 time: 0.1034 data_time: 0.0769 memory: 817 2022/07/29 22:51:05 - mmengine - INFO - Epoch(val) [15][1500/2475] eta: 0:01:01 time: 0.0632 data_time: 0.0348 memory: 817 2022/07/29 22:51:07 - mmengine - INFO - Epoch(val) [15][1520/2475] eta: 0:01:09 time: 0.0726 data_time: 0.0355 memory: 817 2022/07/29 22:51:08 - mmengine - INFO - Epoch(val) [15][1540/2475] eta: 0:01:11 time: 0.0765 data_time: 0.0500 memory: 817 2022/07/29 22:51:10 - mmengine - INFO - Epoch(val) [15][1560/2475] eta: 0:01:21 time: 0.0894 data_time: 0.0618 memory: 817 2022/07/29 22:51:11 - mmengine - INFO - Epoch(val) [15][1580/2475] eta: 0:01:06 time: 0.0744 data_time: 0.0468 memory: 817 2022/07/29 22:51:13 - mmengine - INFO - Epoch(val) [15][1600/2475] eta: 0:01:13 time: 0.0840 data_time: 0.0551 memory: 817 2022/07/29 22:51:15 - mmengine - INFO - Epoch(val) [15][1620/2475] eta: 0:01:09 time: 0.0819 data_time: 0.0540 memory: 817 2022/07/29 22:51:16 - mmengine - INFO - Epoch(val) [15][1640/2475] eta: 0:00:52 time: 0.0634 data_time: 0.0316 memory: 817 2022/07/29 22:51:18 - mmengine - INFO - Epoch(val) [15][1660/2475] eta: 0:01:14 time: 0.0916 data_time: 0.0640 memory: 817 2022/07/29 22:51:20 - mmengine - INFO - Epoch(val) [15][1680/2475] eta: 0:01:23 time: 0.1049 data_time: 0.0789 memory: 817 2022/07/29 22:51:21 - mmengine - INFO - Epoch(val) [15][1700/2475] eta: 0:00:58 time: 0.0753 data_time: 0.0485 memory: 817 2022/07/29 22:51:23 - mmengine - INFO - Epoch(val) [15][1720/2475] eta: 0:01:13 time: 0.0969 data_time: 0.0699 memory: 817 2022/07/29 22:51:24 - mmengine - INFO - Epoch(val) [15][1740/2475] eta: 0:00:40 time: 0.0551 data_time: 0.0293 memory: 817 2022/07/29 22:51:26 - mmengine - INFO - Epoch(val) [15][1760/2475] eta: 0:01:06 time: 0.0934 data_time: 0.0510 memory: 817 2022/07/29 22:51:28 - mmengine - INFO - Epoch(val) [15][1780/2475] eta: 0:00:47 time: 0.0683 data_time: 0.0421 memory: 817 2022/07/29 22:51:29 - mmengine - INFO - Epoch(val) [15][1800/2475] eta: 0:00:59 time: 0.0888 data_time: 0.0603 memory: 817 2022/07/29 22:51:31 - mmengine - INFO - Epoch(val) [15][1820/2475] eta: 0:00:48 time: 0.0736 data_time: 0.0459 memory: 817 2022/07/29 22:51:33 - mmengine - INFO - Epoch(val) [15][1840/2475] eta: 0:00:54 time: 0.0853 data_time: 0.0584 memory: 817 2022/07/29 22:51:34 - mmengine - INFO - Epoch(val) [15][1860/2475] eta: 0:00:47 time: 0.0765 data_time: 0.0482 memory: 817 2022/07/29 22:51:36 - mmengine - INFO - Epoch(val) [15][1880/2475] eta: 0:00:52 time: 0.0884 data_time: 0.0601 memory: 817 2022/07/29 22:51:37 - mmengine - INFO - Epoch(val) [15][1900/2475] eta: 0:00:36 time: 0.0641 data_time: 0.0367 memory: 817 2022/07/29 22:51:39 - mmengine - INFO - Epoch(val) [15][1920/2475] eta: 0:00:44 time: 0.0809 data_time: 0.0542 memory: 817 2022/07/29 22:51:41 - mmengine - INFO - Epoch(val) [15][1940/2475] eta: 0:00:46 time: 0.0865 data_time: 0.0591 memory: 817 2022/07/29 22:51:42 - mmengine - INFO - Epoch(val) [15][1960/2475] eta: 0:00:39 time: 0.0764 data_time: 0.0500 memory: 817 2022/07/29 22:51:44 - mmengine - INFO - Epoch(val) [15][1980/2475] eta: 0:00:38 time: 0.0787 data_time: 0.0502 memory: 817 2022/07/29 22:51:46 - mmengine - INFO - Epoch(val) [15][2000/2475] eta: 0:00:46 time: 0.0980 data_time: 0.0689 memory: 817 2022/07/29 22:51:47 - mmengine - INFO - Epoch(val) [15][2020/2475] eta: 0:00:32 time: 0.0715 data_time: 0.0413 memory: 817 2022/07/29 22:51:49 - mmengine - INFO - Epoch(val) [15][2040/2475] eta: 0:00:40 time: 0.0941 data_time: 0.0621 memory: 817 2022/07/29 22:51:50 - mmengine - INFO - Epoch(val) [15][2060/2475] eta: 0:00:30 time: 0.0741 data_time: 0.0470 memory: 817 2022/07/29 22:51:52 - mmengine - INFO - Epoch(val) [15][2080/2475] eta: 0:00:38 time: 0.0985 data_time: 0.0704 memory: 817 2022/07/29 22:51:54 - mmengine - INFO - Epoch(val) [15][2100/2475] eta: 0:00:23 time: 0.0615 data_time: 0.0310 memory: 817 2022/07/29 22:51:55 - mmengine - INFO - Epoch(val) [15][2120/2475] eta: 0:00:29 time: 0.0823 data_time: 0.0553 memory: 817 2022/07/29 22:51:57 - mmengine - INFO - Epoch(val) [15][2140/2475] eta: 0:00:26 time: 0.0788 data_time: 0.0470 memory: 817 2022/07/29 22:51:58 - mmengine - INFO - Epoch(val) [15][2160/2475] eta: 0:00:24 time: 0.0778 data_time: 0.0498 memory: 817 2022/07/29 22:52:00 - mmengine - INFO - Epoch(val) [15][2180/2475] eta: 0:00:24 time: 0.0835 data_time: 0.0569 memory: 817 2022/07/29 22:52:02 - mmengine - INFO - Epoch(val) [15][2200/2475] eta: 0:00:22 time: 0.0806 data_time: 0.0541 memory: 817 2022/07/29 22:52:04 - mmengine - INFO - Epoch(val) [15][2220/2475] eta: 0:00:29 time: 0.1144 data_time: 0.0861 memory: 817 2022/07/29 22:52:06 - mmengine - INFO - Epoch(val) [15][2240/2475] eta: 0:00:21 time: 0.0912 data_time: 0.0440 memory: 817 2022/07/29 22:52:07 - mmengine - INFO - Epoch(val) [15][2260/2475] eta: 0:00:14 time: 0.0694 data_time: 0.0327 memory: 817 2022/07/29 22:52:09 - mmengine - INFO - Epoch(val) [15][2280/2475] eta: 0:00:14 time: 0.0726 data_time: 0.0418 memory: 817 2022/07/29 22:52:10 - mmengine - INFO - Epoch(val) [15][2300/2475] eta: 0:00:15 time: 0.0876 data_time: 0.0594 memory: 817 2022/07/29 22:52:12 - mmengine - INFO - Epoch(val) [15][2320/2475] eta: 0:00:11 time: 0.0711 data_time: 0.0438 memory: 817 2022/07/29 22:52:13 - mmengine - INFO - Epoch(val) [15][2340/2475] eta: 0:00:10 time: 0.0756 data_time: 0.0477 memory: 817 2022/07/29 22:52:15 - mmengine - INFO - Epoch(val) [15][2360/2475] eta: 0:00:08 time: 0.0757 data_time: 0.0478 memory: 817 2022/07/29 22:52:17 - mmengine - INFO - Epoch(val) [15][2380/2475] eta: 0:00:08 time: 0.0912 data_time: 0.0636 memory: 817 2022/07/29 22:52:18 - mmengine - INFO - Epoch(val) [15][2400/2475] eta: 0:00:04 time: 0.0665 data_time: 0.0398 memory: 817 2022/07/29 22:52:20 - mmengine - INFO - Epoch(val) [15][2420/2475] eta: 0:00:04 time: 0.0880 data_time: 0.0604 memory: 817 2022/07/29 22:52:21 - mmengine - INFO - Epoch(val) [15][2440/2475] eta: 0:00:02 time: 0.0706 data_time: 0.0443 memory: 817 2022/07/29 22:52:23 - mmengine - INFO - Epoch(val) [15][2460/2475] eta: 0:00:01 time: 0.0751 data_time: 0.0453 memory: 817 2022/07/29 22:52:25 - mmengine - INFO - Epoch(val) [15][2475/2475] acc/top1: 0.6940 acc/top5: 0.8865 acc/mean1: 0.6940 2022/07/29 22:52:51 - mmengine - INFO - Epoch(train) [16][20/2505] lr: 5.0000e-04 eta: 1 day, 6:02:52 time: 1.2933 data_time: 0.6780 memory: 32703 grad_norm: 21.5649 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4475 loss: 1.4475 2022/07/29 22:53:10 - mmengine - INFO - Epoch(train) [16][40/2505] lr: 5.0000e-04 eta: 1 day, 6:02:28 time: 0.9386 data_time: 0.3355 memory: 32703 grad_norm: 22.0295 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5761 loss: 1.5761 2022/07/29 22:53:32 - mmengine - INFO - Epoch(train) [16][60/2505] lr: 5.0000e-04 eta: 1 day, 6:02:12 time: 1.0782 data_time: 0.2413 memory: 32703 grad_norm: 21.4641 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6952 loss: 1.6952 2022/07/29 22:53:51 - mmengine - INFO - Epoch(train) [16][80/2505] lr: 5.0000e-04 eta: 1 day, 6:01:50 time: 0.9622 data_time: 0.1153 memory: 32703 grad_norm: 22.0819 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4305 loss: 1.4305 2022/07/29 22:54:12 - mmengine - INFO - Epoch(train) [16][100/2505] lr: 5.0000e-04 eta: 1 day, 6:01:32 time: 1.0417 data_time: 0.1921 memory: 32703 grad_norm: 23.3919 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5382 loss: 1.5382 2022/07/29 22:54:30 - mmengine - INFO - Epoch(train) [16][120/2505] lr: 5.0000e-04 eta: 1 day, 6:01:06 time: 0.9030 data_time: 0.2048 memory: 32703 grad_norm: 22.2759 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7223 loss: 1.7223 2022/07/29 22:54:50 - mmengine - INFO - Epoch(train) [16][140/2505] lr: 5.0000e-04 eta: 1 day, 6:00:47 time: 1.0345 data_time: 0.2988 memory: 32703 grad_norm: 21.7733 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5952 loss: 1.5952 2022/07/29 22:55:12 - mmengine - INFO - Epoch(train) [16][160/2505] lr: 5.0000e-04 eta: 1 day, 6:00:32 time: 1.0870 data_time: 0.3478 memory: 32703 grad_norm: 21.9097 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5624 loss: 1.5624 2022/07/29 22:55:32 - mmengine - INFO - Epoch(train) [16][180/2505] lr: 5.0000e-04 eta: 1 day, 6:00:11 time: 0.9865 data_time: 0.0331 memory: 32703 grad_norm: 22.1529 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7109 loss: 1.7109 2022/07/29 22:55:50 - mmengine - INFO - Epoch(train) [16][200/2505] lr: 5.0000e-04 eta: 1 day, 5:59:46 time: 0.9246 data_time: 0.0539 memory: 32703 grad_norm: 21.6019 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3990 loss: 1.3990 2022/07/29 22:56:10 - mmengine - INFO - Epoch(train) [16][220/2505] lr: 5.0000e-04 eta: 1 day, 5:59:26 time: 1.0012 data_time: 0.0310 memory: 32703 grad_norm: 21.0206 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7735 loss: 1.7735 2022/07/29 22:56:30 - mmengine - INFO - Epoch(train) [16][240/2505] lr: 5.0000e-04 eta: 1 day, 5:59:04 time: 0.9671 data_time: 0.0274 memory: 32703 grad_norm: 22.2102 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6211 loss: 1.6211 2022/07/29 22:56:49 - mmengine - INFO - Epoch(train) [16][260/2505] lr: 5.0000e-04 eta: 1 day, 5:58:42 time: 0.9728 data_time: 0.0304 memory: 32703 grad_norm: 22.5367 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7121 loss: 1.7121 2022/07/29 22:57:10 - mmengine - INFO - Epoch(train) [16][280/2505] lr: 5.0000e-04 eta: 1 day, 5:58:23 time: 1.0187 data_time: 0.0269 memory: 32703 grad_norm: 21.9675 top1_acc: 0.4167 top5_acc: 1.0000 loss_cls: 1.6533 loss: 1.6533 2022/07/29 22:57:27 - mmengine - INFO - Epoch(train) [16][300/2505] lr: 5.0000e-04 eta: 1 day, 5:57:56 time: 0.8937 data_time: 0.0281 memory: 32703 grad_norm: 20.6942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6782 loss: 1.6782 2022/07/29 22:57:49 - mmengine - INFO - Epoch(train) [16][320/2505] lr: 5.0000e-04 eta: 1 day, 5:57:40 time: 1.0683 data_time: 0.0271 memory: 32703 grad_norm: 22.4817 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7680 loss: 1.7680 2022/07/29 22:58:08 - mmengine - INFO - Epoch(train) [16][340/2505] lr: 5.0000e-04 eta: 1 day, 5:57:17 time: 0.9514 data_time: 0.0302 memory: 32703 grad_norm: 21.8473 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6007 loss: 1.6007 2022/07/29 22:58:28 - mmengine - INFO - Epoch(train) [16][360/2505] lr: 5.0000e-04 eta: 1 day, 5:56:58 time: 1.0337 data_time: 0.0260 memory: 32703 grad_norm: 22.9904 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4652 loss: 1.4652 2022/07/29 22:58:47 - mmengine - INFO - Epoch(train) [16][380/2505] lr: 5.0000e-04 eta: 1 day, 5:56:32 time: 0.9004 data_time: 0.0297 memory: 32703 grad_norm: 21.0608 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6362 loss: 1.6362 2022/07/29 22:59:07 - mmengine - INFO - Epoch(train) [16][400/2505] lr: 5.0000e-04 eta: 1 day, 5:56:14 time: 1.0417 data_time: 0.0275 memory: 32703 grad_norm: 21.7317 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5580 loss: 1.5580 2022/07/29 22:59:25 - mmengine - INFO - Epoch(train) [16][420/2505] lr: 5.0000e-04 eta: 1 day, 5:55:49 time: 0.9048 data_time: 0.0263 memory: 32703 grad_norm: 21.4238 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4808 loss: 1.4808 2022/07/29 22:59:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 22:59:46 - mmengine - INFO - Epoch(train) [16][440/2505] lr: 5.0000e-04 eta: 1 day, 5:55:31 time: 1.0532 data_time: 0.0282 memory: 32703 grad_norm: 21.8575 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5684 loss: 1.5684 2022/07/29 23:00:05 - mmengine - INFO - Epoch(train) [16][460/2505] lr: 5.0000e-04 eta: 1 day, 5:55:08 time: 0.9404 data_time: 0.0268 memory: 32703 grad_norm: 21.7558 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6447 loss: 1.6447 2022/07/29 23:00:28 - mmengine - INFO - Epoch(train) [16][480/2505] lr: 5.0000e-04 eta: 1 day, 5:54:54 time: 1.1166 data_time: 0.0310 memory: 32703 grad_norm: 21.3409 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2200 loss: 1.2200 2022/07/29 23:00:48 - mmengine - INFO - Epoch(train) [16][500/2505] lr: 5.0000e-04 eta: 1 day, 5:54:33 time: 0.9987 data_time: 0.0253 memory: 32703 grad_norm: 21.1226 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6328 loss: 1.6328 2022/07/29 23:01:09 - mmengine - INFO - Epoch(train) [16][520/2505] lr: 5.0000e-04 eta: 1 day, 5:54:18 time: 1.0782 data_time: 0.0263 memory: 32703 grad_norm: 21.5568 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4560 loss: 1.4560 2022/07/29 23:01:26 - mmengine - INFO - Epoch(train) [16][540/2505] lr: 5.0000e-04 eta: 1 day, 5:53:48 time: 0.8310 data_time: 0.0273 memory: 32703 grad_norm: 23.0797 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5264 loss: 1.5264 2022/07/29 23:01:45 - mmengine - INFO - Epoch(train) [16][560/2505] lr: 5.0000e-04 eta: 1 day, 5:53:26 time: 0.9787 data_time: 0.0258 memory: 32703 grad_norm: 22.3569 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2627 loss: 1.2627 2022/07/29 23:02:06 - mmengine - INFO - Epoch(train) [16][580/2505] lr: 5.0000e-04 eta: 1 day, 5:53:07 time: 1.0159 data_time: 0.0340 memory: 32703 grad_norm: 21.1260 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4249 loss: 1.4249 2022/07/29 23:02:26 - mmengine - INFO - Epoch(train) [16][600/2505] lr: 5.0000e-04 eta: 1 day, 5:52:46 time: 0.9861 data_time: 0.0264 memory: 32703 grad_norm: 21.7982 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.6467 loss: 1.6467 2022/07/29 23:02:45 - mmengine - INFO - Epoch(train) [16][620/2505] lr: 5.0000e-04 eta: 1 day, 5:52:23 time: 0.9586 data_time: 0.1472 memory: 32703 grad_norm: 21.5442 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2795 loss: 1.2795 2022/07/29 23:03:06 - mmengine - INFO - Epoch(train) [16][640/2505] lr: 5.0000e-04 eta: 1 day, 5:52:06 time: 1.0519 data_time: 0.2037 memory: 32703 grad_norm: 21.3944 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4405 loss: 1.4405 2022/07/29 23:03:25 - mmengine - INFO - Epoch(train) [16][660/2505] lr: 5.0000e-04 eta: 1 day, 5:51:43 time: 0.9530 data_time: 0.1762 memory: 32703 grad_norm: 23.1940 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.5527 loss: 1.5527 2022/07/29 23:03:43 - mmengine - INFO - Epoch(train) [16][680/2505] lr: 5.0000e-04 eta: 1 day, 5:51:18 time: 0.9272 data_time: 0.0280 memory: 32703 grad_norm: 20.5649 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5218 loss: 1.5218 2022/07/29 23:04:04 - mmengine - INFO - Epoch(train) [16][700/2505] lr: 5.0000e-04 eta: 1 day, 5:51:00 time: 1.0311 data_time: 0.0318 memory: 32703 grad_norm: 22.0569 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.9165 loss: 1.9165 2022/07/29 23:04:23 - mmengine - INFO - Epoch(train) [16][720/2505] lr: 5.0000e-04 eta: 1 day, 5:50:36 time: 0.9392 data_time: 0.0260 memory: 32703 grad_norm: 21.7462 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4194 loss: 1.4194 2022/07/29 23:04:44 - mmengine - INFO - Epoch(train) [16][740/2505] lr: 5.0000e-04 eta: 1 day, 5:50:20 time: 1.0762 data_time: 0.0272 memory: 32703 grad_norm: 21.0044 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5025 loss: 1.5025 2022/07/29 23:05:02 - mmengine - INFO - Epoch(train) [16][760/2505] lr: 5.0000e-04 eta: 1 day, 5:49:54 time: 0.9036 data_time: 0.0293 memory: 32703 grad_norm: 21.6339 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7335 loss: 1.7335 2022/07/29 23:05:24 - mmengine - INFO - Epoch(train) [16][780/2505] lr: 5.0000e-04 eta: 1 day, 5:49:40 time: 1.1040 data_time: 0.0293 memory: 32703 grad_norm: 21.8087 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7122 loss: 1.7122 2022/07/29 23:05:44 - mmengine - INFO - Epoch(train) [16][800/2505] lr: 5.0000e-04 eta: 1 day, 5:49:18 time: 0.9675 data_time: 0.0320 memory: 32703 grad_norm: 22.0465 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5709 loss: 1.5709 2022/07/29 23:06:03 - mmengine - INFO - Epoch(train) [16][820/2505] lr: 5.0000e-04 eta: 1 day, 5:48:55 time: 0.9611 data_time: 0.0258 memory: 32703 grad_norm: 21.3778 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5299 loss: 1.5299 2022/07/29 23:06:23 - mmengine - INFO - Epoch(train) [16][840/2505] lr: 5.0000e-04 eta: 1 day, 5:48:34 time: 0.9881 data_time: 0.0320 memory: 32703 grad_norm: 20.5998 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3985 loss: 1.3985 2022/07/29 23:06:43 - mmengine - INFO - Epoch(train) [16][860/2505] lr: 5.0000e-04 eta: 1 day, 5:48:16 time: 1.0330 data_time: 0.0315 memory: 32703 grad_norm: 21.3321 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.8914 loss: 1.8914 2022/07/29 23:07:04 - mmengine - INFO - Epoch(train) [16][880/2505] lr: 5.0000e-04 eta: 1 day, 5:47:56 time: 1.0078 data_time: 0.0279 memory: 32703 grad_norm: 22.2266 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6276 loss: 1.6276 2022/07/29 23:07:22 - mmengine - INFO - Epoch(train) [16][900/2505] lr: 5.0000e-04 eta: 1 day, 5:47:32 time: 0.9370 data_time: 0.0368 memory: 32703 grad_norm: 20.4531 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7040 loss: 1.7040 2022/07/29 23:07:41 - mmengine - INFO - Epoch(train) [16][920/2505] lr: 5.0000e-04 eta: 1 day, 5:47:09 time: 0.9534 data_time: 0.0316 memory: 32703 grad_norm: 20.9981 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8786 loss: 1.8786 2022/07/29 23:08:03 - mmengine - INFO - Epoch(train) [16][940/2505] lr: 5.0000e-04 eta: 1 day, 5:46:52 time: 1.0610 data_time: 0.0266 memory: 32703 grad_norm: 20.5048 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7573 loss: 1.7573 2022/07/29 23:08:21 - mmengine - INFO - Epoch(train) [16][960/2505] lr: 5.0000e-04 eta: 1 day, 5:46:28 time: 0.9337 data_time: 0.0308 memory: 32703 grad_norm: 21.9363 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7845 loss: 1.7845 2022/07/29 23:08:42 - mmengine - INFO - Epoch(train) [16][980/2505] lr: 5.0000e-04 eta: 1 day, 5:46:10 time: 1.0391 data_time: 0.0269 memory: 32703 grad_norm: 21.9589 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7217 loss: 1.7217 2022/07/29 23:09:00 - mmengine - INFO - Epoch(train) [16][1000/2505] lr: 5.0000e-04 eta: 1 day, 5:45:44 time: 0.8969 data_time: 0.0561 memory: 32703 grad_norm: 21.9131 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6776 loss: 1.6776 2022/07/29 23:09:23 - mmengine - INFO - Epoch(train) [16][1020/2505] lr: 5.0000e-04 eta: 1 day, 5:45:31 time: 1.1351 data_time: 0.0293 memory: 32703 grad_norm: 22.2438 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7008 loss: 1.7008 2022/07/29 23:09:40 - mmengine - INFO - Epoch(train) [16][1040/2505] lr: 5.0000e-04 eta: 1 day, 5:45:03 time: 0.8641 data_time: 0.0333 memory: 32703 grad_norm: 21.3884 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6836 loss: 1.6836 2022/07/29 23:10:01 - mmengine - INFO - Epoch(train) [16][1060/2505] lr: 5.0000e-04 eta: 1 day, 5:44:45 time: 1.0448 data_time: 0.0295 memory: 32703 grad_norm: 22.0016 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7389 loss: 1.7389 2022/07/29 23:10:19 - mmengine - INFO - Epoch(train) [16][1080/2505] lr: 5.0000e-04 eta: 1 day, 5:44:20 time: 0.9139 data_time: 0.0339 memory: 32703 grad_norm: 21.8977 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4574 loss: 1.4574 2022/07/29 23:10:40 - mmengine - INFO - Epoch(train) [16][1100/2505] lr: 5.0000e-04 eta: 1 day, 5:44:03 time: 1.0563 data_time: 0.0315 memory: 32703 grad_norm: 22.2501 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7133 loss: 1.7133 2022/07/29 23:10:57 - mmengine - INFO - Epoch(train) [16][1120/2505] lr: 5.0000e-04 eta: 1 day, 5:43:35 time: 0.8537 data_time: 0.0335 memory: 32703 grad_norm: 21.2883 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6928 loss: 1.6928 2022/07/29 23:11:18 - mmengine - INFO - Epoch(train) [16][1140/2505] lr: 5.0000e-04 eta: 1 day, 5:43:15 time: 1.0096 data_time: 0.0333 memory: 32703 grad_norm: 22.2310 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4707 loss: 1.4707 2022/07/29 23:11:39 - mmengine - INFO - Epoch(train) [16][1160/2505] lr: 5.0000e-04 eta: 1 day, 5:42:58 time: 1.0570 data_time: 0.0352 memory: 32703 grad_norm: 22.0651 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4968 loss: 1.4968 2022/07/29 23:11:57 - mmengine - INFO - Epoch(train) [16][1180/2505] lr: 5.0000e-04 eta: 1 day, 5:42:34 time: 0.9408 data_time: 0.0305 memory: 32703 grad_norm: 20.9339 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6109 loss: 1.6109 2022/07/29 23:12:19 - mmengine - INFO - Epoch(train) [16][1200/2505] lr: 5.0000e-04 eta: 1 day, 5:42:17 time: 1.0592 data_time: 0.0269 memory: 32703 grad_norm: 22.3277 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5061 loss: 1.5061 2022/07/29 23:12:37 - mmengine - INFO - Epoch(train) [16][1220/2505] lr: 5.0000e-04 eta: 1 day, 5:41:53 time: 0.9203 data_time: 0.0250 memory: 32703 grad_norm: 21.7171 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.7060 loss: 1.7060 2022/07/29 23:12:57 - mmengine - INFO - Epoch(train) [16][1240/2505] lr: 5.0000e-04 eta: 1 day, 5:41:32 time: 0.9880 data_time: 0.0264 memory: 32703 grad_norm: 21.6330 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.4521 loss: 1.4521 2022/07/29 23:13:16 - mmengine - INFO - Epoch(train) [16][1260/2505] lr: 5.0000e-04 eta: 1 day, 5:41:10 time: 0.9794 data_time: 0.0284 memory: 32703 grad_norm: 21.1903 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5148 loss: 1.5148 2022/07/29 23:13:36 - mmengine - INFO - Epoch(train) [16][1280/2505] lr: 5.0000e-04 eta: 1 day, 5:40:48 time: 0.9612 data_time: 0.1037 memory: 32703 grad_norm: 20.6264 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7967 loss: 1.7967 2022/07/29 23:13:56 - mmengine - INFO - Epoch(train) [16][1300/2505] lr: 5.0000e-04 eta: 1 day, 5:40:28 time: 1.0007 data_time: 0.0358 memory: 32703 grad_norm: 21.2772 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7768 loss: 1.7768 2022/07/29 23:14:15 - mmengine - INFO - Epoch(train) [16][1320/2505] lr: 5.0000e-04 eta: 1 day, 5:40:06 time: 0.9818 data_time: 0.2168 memory: 32703 grad_norm: 20.6695 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4358 loss: 1.4358 2022/07/29 23:14:35 - mmengine - INFO - Epoch(train) [16][1340/2505] lr: 5.0000e-04 eta: 1 day, 5:39:46 time: 0.9932 data_time: 0.1755 memory: 32703 grad_norm: 21.2335 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5689 loss: 1.5689 2022/07/29 23:14:56 - mmengine - INFO - Epoch(train) [16][1360/2505] lr: 5.0000e-04 eta: 1 day, 5:39:27 time: 1.0242 data_time: 0.3887 memory: 32703 grad_norm: 21.5247 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7401 loss: 1.7401 2022/07/29 23:15:15 - mmengine - INFO - Epoch(train) [16][1380/2505] lr: 5.0000e-04 eta: 1 day, 5:39:04 time: 0.9504 data_time: 0.1147 memory: 32703 grad_norm: 21.7931 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5645 loss: 1.5645 2022/07/29 23:15:35 - mmengine - INFO - Epoch(train) [16][1400/2505] lr: 5.0000e-04 eta: 1 day, 5:38:43 time: 1.0002 data_time: 0.2920 memory: 32703 grad_norm: 20.5010 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.6413 loss: 1.6413 2022/07/29 23:15:53 - mmengine - INFO - Epoch(train) [16][1420/2505] lr: 5.0000e-04 eta: 1 day, 5:38:20 time: 0.9391 data_time: 0.2721 memory: 32703 grad_norm: 20.9173 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4926 loss: 1.4926 2022/07/29 23:15:59 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 23:16:14 - mmengine - INFO - Epoch(train) [16][1440/2505] lr: 5.0000e-04 eta: 1 day, 5:38:01 time: 1.0291 data_time: 0.3565 memory: 32703 grad_norm: 21.7060 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1681 loss: 1.1681 2022/07/29 23:16:33 - mmengine - INFO - Epoch(train) [16][1460/2505] lr: 5.0000e-04 eta: 1 day, 5:37:38 time: 0.9537 data_time: 0.2641 memory: 32703 grad_norm: 22.4413 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5414 loss: 1.5414 2022/07/29 23:16:54 - mmengine - INFO - Epoch(train) [16][1480/2505] lr: 5.0000e-04 eta: 1 day, 5:37:20 time: 1.0337 data_time: 0.3343 memory: 32703 grad_norm: 21.3036 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6603 loss: 1.6603 2022/07/29 23:17:14 - mmengine - INFO - Epoch(train) [16][1500/2505] lr: 5.0000e-04 eta: 1 day, 5:37:00 time: 1.0167 data_time: 0.1268 memory: 32703 grad_norm: 22.5253 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5286 loss: 1.5286 2022/07/29 23:17:33 - mmengine - INFO - Epoch(train) [16][1520/2505] lr: 5.0000e-04 eta: 1 day, 5:36:37 time: 0.9491 data_time: 0.0648 memory: 32703 grad_norm: 20.9787 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5660 loss: 1.5660 2022/07/29 23:17:54 - mmengine - INFO - Epoch(train) [16][1540/2505] lr: 5.0000e-04 eta: 1 day, 5:36:19 time: 1.0394 data_time: 0.0260 memory: 32703 grad_norm: 20.4204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5106 loss: 1.5106 2022/07/29 23:18:12 - mmengine - INFO - Epoch(train) [16][1560/2505] lr: 5.0000e-04 eta: 1 day, 5:35:55 time: 0.9217 data_time: 0.0291 memory: 32703 grad_norm: 21.3139 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9692 loss: 1.9692 2022/07/29 23:18:35 - mmengine - INFO - Epoch(train) [16][1580/2505] lr: 5.0000e-04 eta: 1 day, 5:35:41 time: 1.1216 data_time: 0.0346 memory: 32703 grad_norm: 21.5051 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 2.0188 loss: 2.0188 2022/07/29 23:18:53 - mmengine - INFO - Epoch(train) [16][1600/2505] lr: 5.0000e-04 eta: 1 day, 5:35:16 time: 0.9115 data_time: 0.0317 memory: 32703 grad_norm: 22.6430 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6874 loss: 1.6874 2022/07/29 23:19:16 - mmengine - INFO - Epoch(train) [16][1620/2505] lr: 5.0000e-04 eta: 1 day, 5:35:03 time: 1.1325 data_time: 0.0272 memory: 32703 grad_norm: 21.1949 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6710 loss: 1.6710 2022/07/29 23:19:33 - mmengine - INFO - Epoch(train) [16][1640/2505] lr: 5.0000e-04 eta: 1 day, 5:34:34 time: 0.8455 data_time: 0.0269 memory: 32703 grad_norm: 21.6975 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5769 loss: 1.5769 2022/07/29 23:19:53 - mmengine - INFO - Epoch(train) [16][1660/2505] lr: 5.0000e-04 eta: 1 day, 5:34:14 time: 1.0016 data_time: 0.0274 memory: 32703 grad_norm: 21.2993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7851 loss: 1.7851 2022/07/29 23:20:12 - mmengine - INFO - Epoch(train) [16][1680/2505] lr: 5.0000e-04 eta: 1 day, 5:33:51 time: 0.9460 data_time: 0.0276 memory: 32703 grad_norm: 21.2241 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6603 loss: 1.6603 2022/07/29 23:20:32 - mmengine - INFO - Epoch(train) [16][1700/2505] lr: 5.0000e-04 eta: 1 day, 5:33:31 time: 1.0158 data_time: 0.0287 memory: 32703 grad_norm: 20.7340 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4574 loss: 1.4574 2022/07/29 23:20:51 - mmengine - INFO - Epoch(train) [16][1720/2505] lr: 5.0000e-04 eta: 1 day, 5:33:08 time: 0.9364 data_time: 0.0291 memory: 32703 grad_norm: 21.3747 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6091 loss: 1.6091 2022/07/29 23:21:12 - mmengine - INFO - Epoch(train) [16][1740/2505] lr: 5.0000e-04 eta: 1 day, 5:32:52 time: 1.0878 data_time: 0.0255 memory: 32703 grad_norm: 21.9498 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5562 loss: 1.5562 2022/07/29 23:21:31 - mmengine - INFO - Epoch(train) [16][1760/2505] lr: 5.0000e-04 eta: 1 day, 5:32:27 time: 0.9100 data_time: 0.0291 memory: 32703 grad_norm: 21.5000 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6069 loss: 1.6069 2022/07/29 23:21:51 - mmengine - INFO - Epoch(train) [16][1780/2505] lr: 5.0000e-04 eta: 1 day, 5:32:08 time: 1.0313 data_time: 0.0336 memory: 32703 grad_norm: 21.9968 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.9598 loss: 1.9598 2022/07/29 23:22:09 - mmengine - INFO - Epoch(train) [16][1800/2505] lr: 5.0000e-04 eta: 1 day, 5:31:42 time: 0.8935 data_time: 0.0295 memory: 32703 grad_norm: 21.3508 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8716 loss: 1.8716 2022/07/29 23:22:31 - mmengine - INFO - Epoch(train) [16][1820/2505] lr: 5.0000e-04 eta: 1 day, 5:31:27 time: 1.0910 data_time: 0.0284 memory: 32703 grad_norm: 20.4820 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5677 loss: 1.5677 2022/07/29 23:22:48 - mmengine - INFO - Epoch(train) [16][1840/2505] lr: 5.0000e-04 eta: 1 day, 5:30:59 time: 0.8614 data_time: 0.0324 memory: 32703 grad_norm: 21.6183 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4436 loss: 1.4436 2022/07/29 23:23:10 - mmengine - INFO - Epoch(train) [16][1860/2505] lr: 5.0000e-04 eta: 1 day, 5:30:45 time: 1.1058 data_time: 0.0258 memory: 32703 grad_norm: 20.9168 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5018 loss: 1.5018 2022/07/29 23:23:28 - mmengine - INFO - Epoch(train) [16][1880/2505] lr: 5.0000e-04 eta: 1 day, 5:30:18 time: 0.8697 data_time: 0.0264 memory: 32703 grad_norm: 22.6376 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7370 loss: 1.7370 2022/07/29 23:23:50 - mmengine - INFO - Epoch(train) [16][1900/2505] lr: 5.0000e-04 eta: 1 day, 5:30:04 time: 1.1185 data_time: 0.0605 memory: 32703 grad_norm: 20.3566 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3028 loss: 1.3028 2022/07/29 23:24:09 - mmengine - INFO - Epoch(train) [16][1920/2505] lr: 5.0000e-04 eta: 1 day, 5:29:41 time: 0.9521 data_time: 0.0281 memory: 32703 grad_norm: 21.8501 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6226 loss: 1.6226 2022/07/29 23:24:31 - mmengine - INFO - Epoch(train) [16][1940/2505] lr: 5.0000e-04 eta: 1 day, 5:29:24 time: 1.0714 data_time: 0.0291 memory: 32703 grad_norm: 19.8489 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6289 loss: 1.6289 2022/07/29 23:24:48 - mmengine - INFO - Epoch(train) [16][1960/2505] lr: 5.0000e-04 eta: 1 day, 5:28:58 time: 0.8861 data_time: 0.0258 memory: 32703 grad_norm: 21.6256 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4021 loss: 1.4021 2022/07/29 23:25:10 - mmengine - INFO - Epoch(train) [16][1980/2505] lr: 5.0000e-04 eta: 1 day, 5:28:43 time: 1.1054 data_time: 0.0355 memory: 32703 grad_norm: 21.6919 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6037 loss: 1.6037 2022/07/29 23:25:28 - mmengine - INFO - Epoch(train) [16][2000/2505] lr: 5.0000e-04 eta: 1 day, 5:28:16 time: 0.8744 data_time: 0.0287 memory: 32703 grad_norm: 21.6295 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6706 loss: 1.6706 2022/07/29 23:25:49 - mmengine - INFO - Epoch(train) [16][2020/2505] lr: 5.0000e-04 eta: 1 day, 5:27:59 time: 1.0603 data_time: 0.0311 memory: 32703 grad_norm: 21.1339 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6751 loss: 1.6751 2022/07/29 23:26:08 - mmengine - INFO - Epoch(train) [16][2040/2505] lr: 5.0000e-04 eta: 1 day, 5:27:36 time: 0.9513 data_time: 0.0282 memory: 32703 grad_norm: 20.2987 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5432 loss: 1.5432 2022/07/29 23:26:28 - mmengine - INFO - Epoch(train) [16][2060/2505] lr: 5.0000e-04 eta: 1 day, 5:27:16 time: 0.9884 data_time: 0.0280 memory: 32703 grad_norm: 21.8994 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5876 loss: 1.5876 2022/07/29 23:26:47 - mmengine - INFO - Epoch(train) [16][2080/2505] lr: 5.0000e-04 eta: 1 day, 5:26:52 time: 0.9398 data_time: 0.0307 memory: 32703 grad_norm: 21.8976 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7265 loss: 1.7265 2022/07/29 23:27:08 - mmengine - INFO - Epoch(train) [16][2100/2505] lr: 5.0000e-04 eta: 1 day, 5:26:34 time: 1.0447 data_time: 0.0307 memory: 32703 grad_norm: 20.8892 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6911 loss: 1.6911 2022/07/29 23:27:25 - mmengine - INFO - Epoch(train) [16][2120/2505] lr: 5.0000e-04 eta: 1 day, 5:26:08 time: 0.8931 data_time: 0.0347 memory: 32703 grad_norm: 21.8039 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4477 loss: 1.4477 2022/07/29 23:27:46 - mmengine - INFO - Epoch(train) [16][2140/2505] lr: 5.0000e-04 eta: 1 day, 5:25:50 time: 1.0465 data_time: 0.0271 memory: 32703 grad_norm: 21.5231 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4803 loss: 1.4803 2022/07/29 23:28:05 - mmengine - INFO - Epoch(train) [16][2160/2505] lr: 5.0000e-04 eta: 1 day, 5:25:26 time: 0.9123 data_time: 0.0311 memory: 32703 grad_norm: 21.1130 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3859 loss: 1.3859 2022/07/29 23:28:25 - mmengine - INFO - Epoch(train) [16][2180/2505] lr: 5.0000e-04 eta: 1 day, 5:25:08 time: 1.0456 data_time: 0.0279 memory: 32703 grad_norm: 21.6142 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6938 loss: 1.6938 2022/07/29 23:28:44 - mmengine - INFO - Epoch(train) [16][2200/2505] lr: 5.0000e-04 eta: 1 day, 5:24:42 time: 0.9022 data_time: 0.0303 memory: 32703 grad_norm: 22.2349 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7380 loss: 1.7380 2022/07/29 23:29:04 - mmengine - INFO - Epoch(train) [16][2220/2505] lr: 5.0000e-04 eta: 1 day, 5:24:23 time: 1.0151 data_time: 0.0329 memory: 32703 grad_norm: 20.2016 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4805 loss: 1.4805 2022/07/29 23:29:22 - mmengine - INFO - Epoch(train) [16][2240/2505] lr: 5.0000e-04 eta: 1 day, 5:23:59 time: 0.9301 data_time: 0.0311 memory: 32703 grad_norm: 21.0779 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4801 loss: 1.4801 2022/07/29 23:29:43 - mmengine - INFO - Epoch(train) [16][2260/2505] lr: 5.0000e-04 eta: 1 day, 5:23:40 time: 1.0351 data_time: 0.0308 memory: 32703 grad_norm: 21.9779 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6946 loss: 1.6946 2022/07/29 23:30:01 - mmengine - INFO - Epoch(train) [16][2280/2505] lr: 5.0000e-04 eta: 1 day, 5:23:16 time: 0.9161 data_time: 0.0327 memory: 32703 grad_norm: 22.0236 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6095 loss: 1.6095 2022/07/29 23:30:23 - mmengine - INFO - Epoch(train) [16][2300/2505] lr: 5.0000e-04 eta: 1 day, 5:22:59 time: 1.0681 data_time: 0.0302 memory: 32703 grad_norm: 21.8323 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4123 loss: 1.4123 2022/07/29 23:30:41 - mmengine - INFO - Epoch(train) [16][2320/2505] lr: 5.0000e-04 eta: 1 day, 5:22:33 time: 0.8871 data_time: 0.0347 memory: 32703 grad_norm: 20.6872 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5958 loss: 1.5958 2022/07/29 23:31:01 - mmengine - INFO - Epoch(train) [16][2340/2505] lr: 5.0000e-04 eta: 1 day, 5:22:14 time: 1.0216 data_time: 0.0324 memory: 32703 grad_norm: 20.8034 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4574 loss: 1.4574 2022/07/29 23:31:20 - mmengine - INFO - Epoch(train) [16][2360/2505] lr: 5.0000e-04 eta: 1 day, 5:21:50 time: 0.9271 data_time: 0.0278 memory: 32703 grad_norm: 21.0456 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5848 loss: 1.5848 2022/07/29 23:31:41 - mmengine - INFO - Epoch(train) [16][2380/2505] lr: 5.0000e-04 eta: 1 day, 5:21:33 time: 1.0683 data_time: 0.0261 memory: 32703 grad_norm: 21.4909 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3386 loss: 1.3386 2022/07/29 23:32:00 - mmengine - INFO - Epoch(train) [16][2400/2505] lr: 5.0000e-04 eta: 1 day, 5:21:10 time: 0.9483 data_time: 0.0259 memory: 32703 grad_norm: 21.0906 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5710 loss: 1.5710 2022/07/29 23:32:20 - mmengine - INFO - Epoch(train) [16][2420/2505] lr: 5.0000e-04 eta: 1 day, 5:20:49 time: 0.9889 data_time: 0.0294 memory: 32703 grad_norm: 21.2500 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6171 loss: 1.6171 2022/07/29 23:32:26 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 23:32:38 - mmengine - INFO - Epoch(train) [16][2440/2505] lr: 5.0000e-04 eta: 1 day, 5:20:25 time: 0.9286 data_time: 0.0268 memory: 32703 grad_norm: 21.6788 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8533 loss: 1.8533 2022/07/29 23:32:59 - mmengine - INFO - Epoch(train) [16][2460/2505] lr: 5.0000e-04 eta: 1 day, 5:20:07 time: 1.0317 data_time: 0.0280 memory: 32703 grad_norm: 20.9373 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7763 loss: 1.7763 2022/07/29 23:33:18 - mmengine - INFO - Epoch(train) [16][2480/2505] lr: 5.0000e-04 eta: 1 day, 5:19:43 time: 0.9333 data_time: 0.0386 memory: 32703 grad_norm: 20.9479 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.5505 loss: 1.5505 2022/07/29 23:33:36 - mmengine - INFO - Epoch(train) [16][2500/2505] lr: 5.0000e-04 eta: 1 day, 5:19:18 time: 0.9105 data_time: 0.0277 memory: 32703 grad_norm: 20.4527 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7884 loss: 1.7884 2022/07/29 23:33:39 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 23:33:39 - mmengine - INFO - Epoch(train) [16][2505/2505] lr: 5.0000e-04 eta: 1 day, 5:19:18 time: 0.7494 data_time: 0.0240 memory: 32703 grad_norm: 21.1611 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7454 loss: 1.7454 2022/07/29 23:33:39 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/07/29 23:34:08 - mmengine - INFO - Epoch(train) [17][20/2505] lr: 5.0000e-04 eta: 1 day, 5:18:53 time: 1.2506 data_time: 0.6325 memory: 32703 grad_norm: 20.8290 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6815 loss: 1.6815 2022/07/29 23:34:27 - mmengine - INFO - Epoch(train) [17][40/2505] lr: 5.0000e-04 eta: 1 day, 5:18:29 time: 0.9312 data_time: 0.3243 memory: 32703 grad_norm: 21.2762 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6827 loss: 1.6827 2022/07/29 23:34:47 - mmengine - INFO - Epoch(train) [17][60/2505] lr: 5.0000e-04 eta: 1 day, 5:18:09 time: 1.0026 data_time: 0.3844 memory: 32703 grad_norm: 20.9817 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5380 loss: 1.5380 2022/07/29 23:35:06 - mmengine - INFO - Epoch(train) [17][80/2505] lr: 5.0000e-04 eta: 1 day, 5:17:45 time: 0.9386 data_time: 0.3221 memory: 32703 grad_norm: 20.5976 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5614 loss: 1.5614 2022/07/29 23:35:27 - mmengine - INFO - Epoch(train) [17][100/2505] lr: 5.0000e-04 eta: 1 day, 5:17:29 time: 1.0792 data_time: 0.4566 memory: 32703 grad_norm: 20.9504 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3660 loss: 1.3660 2022/07/29 23:35:46 - mmengine - INFO - Epoch(train) [17][120/2505] lr: 5.0000e-04 eta: 1 day, 5:17:06 time: 0.9472 data_time: 0.3281 memory: 32703 grad_norm: 22.0535 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4600 loss: 1.4600 2022/07/29 23:36:08 - mmengine - INFO - Epoch(train) [17][140/2505] lr: 5.0000e-04 eta: 1 day, 5:16:51 time: 1.0981 data_time: 0.4717 memory: 32703 grad_norm: 19.9424 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5410 loss: 1.5410 2022/07/29 23:36:26 - mmengine - INFO - Epoch(train) [17][160/2505] lr: 5.0000e-04 eta: 1 day, 5:16:26 time: 0.9106 data_time: 0.2861 memory: 32703 grad_norm: 22.0110 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6905 loss: 1.6905 2022/07/29 23:36:47 - mmengine - INFO - Epoch(train) [17][180/2505] lr: 5.0000e-04 eta: 1 day, 5:16:08 time: 1.0330 data_time: 0.4075 memory: 32703 grad_norm: 22.1828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5895 loss: 1.5895 2022/07/29 23:37:07 - mmengine - INFO - Epoch(train) [17][200/2505] lr: 5.0000e-04 eta: 1 day, 5:15:47 time: 0.9810 data_time: 0.3604 memory: 32703 grad_norm: 21.9789 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6215 loss: 1.6215 2022/07/29 23:37:27 - mmengine - INFO - Epoch(train) [17][220/2505] lr: 5.0000e-04 eta: 1 day, 5:15:28 time: 1.0237 data_time: 0.4086 memory: 32703 grad_norm: 21.0522 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5547 loss: 1.5547 2022/07/29 23:37:47 - mmengine - INFO - Epoch(train) [17][240/2505] lr: 5.0000e-04 eta: 1 day, 5:15:07 time: 0.9972 data_time: 0.3719 memory: 32703 grad_norm: 20.8098 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3902 loss: 1.3902 2022/07/29 23:38:07 - mmengine - INFO - Epoch(train) [17][260/2505] lr: 5.0000e-04 eta: 1 day, 5:14:47 time: 0.9985 data_time: 0.3910 memory: 32703 grad_norm: 20.6898 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6422 loss: 1.6422 2022/07/29 23:38:26 - mmengine - INFO - Epoch(train) [17][280/2505] lr: 5.0000e-04 eta: 1 day, 5:14:22 time: 0.9205 data_time: 0.3012 memory: 32703 grad_norm: 21.7350 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6828 loss: 1.6828 2022/07/29 23:38:46 - mmengine - INFO - Epoch(train) [17][300/2505] lr: 5.0000e-04 eta: 1 day, 5:14:05 time: 1.0454 data_time: 0.4406 memory: 32703 grad_norm: 21.1548 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5739 loss: 1.5739 2022/07/29 23:39:05 - mmengine - INFO - Epoch(train) [17][320/2505] lr: 5.0000e-04 eta: 1 day, 5:13:42 time: 0.9508 data_time: 0.3382 memory: 32703 grad_norm: 20.6481 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4903 loss: 1.4903 2022/07/29 23:39:26 - mmengine - INFO - Epoch(train) [17][340/2505] lr: 5.0000e-04 eta: 1 day, 5:13:23 time: 1.0290 data_time: 0.4050 memory: 32703 grad_norm: 20.1395 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4585 loss: 1.4585 2022/07/29 23:39:45 - mmengine - INFO - Epoch(train) [17][360/2505] lr: 5.0000e-04 eta: 1 day, 5:13:01 time: 0.9660 data_time: 0.3482 memory: 32703 grad_norm: 20.5801 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5869 loss: 1.5869 2022/07/29 23:40:06 - mmengine - INFO - Epoch(train) [17][380/2505] lr: 5.0000e-04 eta: 1 day, 5:12:42 time: 1.0173 data_time: 0.4011 memory: 32703 grad_norm: 20.4682 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7645 loss: 1.7645 2022/07/29 23:40:25 - mmengine - INFO - Epoch(train) [17][400/2505] lr: 5.0000e-04 eta: 1 day, 5:12:20 time: 0.9612 data_time: 0.3313 memory: 32703 grad_norm: 21.2285 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3498 loss: 1.3498 2022/07/29 23:40:44 - mmengine - INFO - Epoch(train) [17][420/2505] lr: 5.0000e-04 eta: 1 day, 5:11:58 time: 0.9666 data_time: 0.3844 memory: 32703 grad_norm: 22.1194 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5452 loss: 1.5452 2022/07/29 23:41:02 - mmengine - INFO - Epoch(train) [17][440/2505] lr: 5.0000e-04 eta: 1 day, 5:11:32 time: 0.8984 data_time: 0.2917 memory: 32703 grad_norm: 21.4044 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.7173 loss: 1.7173 2022/07/29 23:41:24 - mmengine - INFO - Epoch(train) [17][460/2505] lr: 5.0000e-04 eta: 1 day, 5:11:15 time: 1.0701 data_time: 0.4618 memory: 32703 grad_norm: 20.5818 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4070 loss: 1.4070 2022/07/29 23:41:41 - mmengine - INFO - Epoch(train) [17][480/2505] lr: 5.0000e-04 eta: 1 day, 5:10:48 time: 0.8640 data_time: 0.2526 memory: 32703 grad_norm: 20.1874 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5005 loss: 1.5005 2022/07/29 23:42:02 - mmengine - INFO - Epoch(train) [17][500/2505] lr: 5.0000e-04 eta: 1 day, 5:10:32 time: 1.0731 data_time: 0.4535 memory: 32703 grad_norm: 21.9103 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5931 loss: 1.5931 2022/07/29 23:42:20 - mmengine - INFO - Epoch(train) [17][520/2505] lr: 5.0000e-04 eta: 1 day, 5:10:06 time: 0.8890 data_time: 0.2668 memory: 32703 grad_norm: 21.4989 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5044 loss: 1.5044 2022/07/29 23:42:41 - mmengine - INFO - Epoch(train) [17][540/2505] lr: 5.0000e-04 eta: 1 day, 5:09:49 time: 1.0557 data_time: 0.4317 memory: 32703 grad_norm: 20.5016 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5080 loss: 1.5080 2022/07/29 23:43:00 - mmengine - INFO - Epoch(train) [17][560/2505] lr: 5.0000e-04 eta: 1 day, 5:09:25 time: 0.9272 data_time: 0.3157 memory: 32703 grad_norm: 21.2632 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.7537 loss: 1.7537 2022/07/29 23:43:22 - mmengine - INFO - Epoch(train) [17][580/2505] lr: 5.0000e-04 eta: 1 day, 5:09:09 time: 1.0869 data_time: 0.4630 memory: 32703 grad_norm: 21.2943 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7605 loss: 1.7605 2022/07/29 23:43:40 - mmengine - INFO - Epoch(train) [17][600/2505] lr: 5.0000e-04 eta: 1 day, 5:08:43 time: 0.8990 data_time: 0.2872 memory: 32703 grad_norm: 21.7007 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7341 loss: 1.7341 2022/07/29 23:44:01 - mmengine - INFO - Epoch(train) [17][620/2505] lr: 5.0000e-04 eta: 1 day, 5:08:28 time: 1.0868 data_time: 0.4121 memory: 32703 grad_norm: 20.1440 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3945 loss: 1.3945 2022/07/29 23:44:19 - mmengine - INFO - Epoch(train) [17][640/2505] lr: 5.0000e-04 eta: 1 day, 5:08:02 time: 0.9024 data_time: 0.2483 memory: 32703 grad_norm: 21.2035 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4209 loss: 1.4209 2022/07/29 23:44:42 - mmengine - INFO - Epoch(train) [17][660/2505] lr: 5.0000e-04 eta: 1 day, 5:07:48 time: 1.1185 data_time: 0.5018 memory: 32703 grad_norm: 20.8314 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5729 loss: 1.5729 2022/07/29 23:45:00 - mmengine - INFO - Epoch(train) [17][680/2505] lr: 5.0000e-04 eta: 1 day, 5:07:23 time: 0.8961 data_time: 0.3146 memory: 32703 grad_norm: 21.1385 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.5904 loss: 1.5904 2022/07/29 23:45:23 - mmengine - INFO - Epoch(train) [17][700/2505] lr: 5.0000e-04 eta: 1 day, 5:07:09 time: 1.1361 data_time: 0.4934 memory: 32703 grad_norm: 20.9776 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6160 loss: 1.6160 2022/07/29 23:45:38 - mmengine - INFO - Epoch(train) [17][720/2505] lr: 5.0000e-04 eta: 1 day, 5:06:39 time: 0.7916 data_time: 0.2025 memory: 32703 grad_norm: 21.1681 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7252 loss: 1.7252 2022/07/29 23:45:59 - mmengine - INFO - Epoch(train) [17][740/2505] lr: 5.0000e-04 eta: 1 day, 5:06:20 time: 1.0249 data_time: 0.4177 memory: 32703 grad_norm: 21.9457 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6157 loss: 1.6157 2022/07/29 23:46:17 - mmengine - INFO - Epoch(train) [17][760/2505] lr: 5.0000e-04 eta: 1 day, 5:05:54 time: 0.8988 data_time: 0.2785 memory: 32703 grad_norm: 21.4909 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.6794 loss: 1.6794 2022/07/29 23:46:36 - mmengine - INFO - Epoch(train) [17][780/2505] lr: 5.0000e-04 eta: 1 day, 5:05:33 time: 0.9866 data_time: 0.3541 memory: 32703 grad_norm: 21.3985 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3843 loss: 1.3843 2022/07/29 23:46:56 - mmengine - INFO - Epoch(train) [17][800/2505] lr: 5.0000e-04 eta: 1 day, 5:05:12 time: 0.9709 data_time: 0.2338 memory: 32703 grad_norm: 21.7683 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6484 loss: 1.6484 2022/07/29 23:47:16 - mmengine - INFO - Epoch(train) [17][820/2505] lr: 5.0000e-04 eta: 1 day, 5:04:52 time: 1.0107 data_time: 0.2255 memory: 32703 grad_norm: 21.5097 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8340 loss: 1.8340 2022/07/29 23:47:36 - mmengine - INFO - Epoch(train) [17][840/2505] lr: 5.0000e-04 eta: 1 day, 5:04:31 time: 0.9868 data_time: 0.1402 memory: 32703 grad_norm: 21.7892 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.7328 loss: 1.7328 2022/07/29 23:47:56 - mmengine - INFO - Epoch(train) [17][860/2505] lr: 5.0000e-04 eta: 1 day, 5:04:11 time: 0.9989 data_time: 0.2657 memory: 32703 grad_norm: 20.6753 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4647 loss: 1.4647 2022/07/29 23:48:16 - mmengine - INFO - Epoch(train) [17][880/2505] lr: 5.0000e-04 eta: 1 day, 5:03:51 time: 0.9966 data_time: 0.1623 memory: 32703 grad_norm: 21.0272 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6996 loss: 1.6996 2022/07/29 23:48:34 - mmengine - INFO - Epoch(train) [17][900/2505] lr: 5.0000e-04 eta: 1 day, 5:03:27 time: 0.9327 data_time: 0.0674 memory: 32703 grad_norm: 21.6139 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5219 loss: 1.5219 2022/07/29 23:48:55 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/29 23:48:55 - mmengine - INFO - Epoch(train) [17][920/2505] lr: 5.0000e-04 eta: 1 day, 5:03:08 time: 1.0307 data_time: 0.1097 memory: 32703 grad_norm: 20.8529 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.7022 loss: 1.7022 2022/07/29 23:49:13 - mmengine - INFO - Epoch(train) [17][940/2505] lr: 5.0000e-04 eta: 1 day, 5:02:43 time: 0.9106 data_time: 0.0702 memory: 32703 grad_norm: 19.8961 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6289 loss: 1.6289 2022/07/29 23:49:35 - mmengine - INFO - Epoch(train) [17][960/2505] lr: 5.0000e-04 eta: 1 day, 5:02:27 time: 1.0773 data_time: 0.1455 memory: 32703 grad_norm: 20.8427 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4405 loss: 1.4405 2022/07/29 23:49:53 - mmengine - INFO - Epoch(train) [17][980/2505] lr: 5.0000e-04 eta: 1 day, 5:02:03 time: 0.9267 data_time: 0.0595 memory: 32703 grad_norm: 21.9627 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6024 loss: 1.6024 2022/07/29 23:50:16 - mmengine - INFO - Epoch(train) [17][1000/2505] lr: 5.0000e-04 eta: 1 day, 5:01:49 time: 1.1226 data_time: 0.0281 memory: 32703 grad_norm: 20.1624 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6723 loss: 1.6723 2022/07/29 23:50:34 - mmengine - INFO - Epoch(train) [17][1020/2505] lr: 5.0000e-04 eta: 1 day, 5:01:24 time: 0.9016 data_time: 0.0304 memory: 32703 grad_norm: 19.8282 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3476 loss: 1.3476 2022/07/29 23:50:55 - mmengine - INFO - Epoch(train) [17][1040/2505] lr: 5.0000e-04 eta: 1 day, 5:01:07 time: 1.0634 data_time: 0.0343 memory: 32703 grad_norm: 21.0707 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5595 loss: 1.5595 2022/07/29 23:51:14 - mmengine - INFO - Epoch(train) [17][1060/2505] lr: 5.0000e-04 eta: 1 day, 5:00:44 time: 0.9349 data_time: 0.0315 memory: 32703 grad_norm: 21.2728 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.5358 loss: 1.5358 2022/07/29 23:51:34 - mmengine - INFO - Epoch(train) [17][1080/2505] lr: 5.0000e-04 eta: 1 day, 5:00:25 time: 1.0222 data_time: 0.0332 memory: 32703 grad_norm: 21.6652 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4279 loss: 1.4279 2022/07/29 23:51:53 - mmengine - INFO - Epoch(train) [17][1100/2505] lr: 5.0000e-04 eta: 1 day, 5:00:00 time: 0.9132 data_time: 0.0831 memory: 32703 grad_norm: 20.0063 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.8478 loss: 1.8478 2022/07/29 23:52:12 - mmengine - INFO - Epoch(train) [17][1120/2505] lr: 5.0000e-04 eta: 1 day, 4:59:39 time: 0.9790 data_time: 0.1530 memory: 32703 grad_norm: 21.6115 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4623 loss: 1.4623 2022/07/29 23:52:32 - mmengine - INFO - Epoch(train) [17][1140/2505] lr: 5.0000e-04 eta: 1 day, 4:59:19 time: 1.0079 data_time: 0.2835 memory: 32703 grad_norm: 21.2855 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5208 loss: 1.5208 2022/07/29 23:52:52 - mmengine - INFO - Epoch(train) [17][1160/2505] lr: 5.0000e-04 eta: 1 day, 4:58:59 time: 1.0116 data_time: 0.1347 memory: 32703 grad_norm: 20.6980 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7440 loss: 1.7440 2022/07/29 23:53:11 - mmengine - INFO - Epoch(train) [17][1180/2505] lr: 5.0000e-04 eta: 1 day, 4:58:36 time: 0.9315 data_time: 0.0775 memory: 32703 grad_norm: 21.2988 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4658 loss: 1.4658 2022/07/29 23:53:32 - mmengine - INFO - Epoch(train) [17][1200/2505] lr: 5.0000e-04 eta: 1 day, 4:58:18 time: 1.0452 data_time: 0.0678 memory: 32703 grad_norm: 21.4190 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6810 loss: 1.6810 2022/07/29 23:53:50 - mmengine - INFO - Epoch(train) [17][1220/2505] lr: 5.0000e-04 eta: 1 day, 4:57:53 time: 0.9089 data_time: 0.0428 memory: 32703 grad_norm: 21.1650 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7729 loss: 1.7729 2022/07/29 23:54:12 - mmengine - INFO - Epoch(train) [17][1240/2505] lr: 5.0000e-04 eta: 1 day, 4:57:37 time: 1.0750 data_time: 0.0276 memory: 32703 grad_norm: 20.4456 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6689 loss: 1.6689 2022/07/29 23:54:29 - mmengine - INFO - Epoch(train) [17][1260/2505] lr: 5.0000e-04 eta: 1 day, 4:57:10 time: 0.8755 data_time: 0.0284 memory: 32703 grad_norm: 21.5196 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7408 loss: 1.7408 2022/07/29 23:54:51 - mmengine - INFO - Epoch(train) [17][1280/2505] lr: 5.0000e-04 eta: 1 day, 4:56:54 time: 1.0736 data_time: 0.0276 memory: 32703 grad_norm: 19.5873 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3503 loss: 1.3503 2022/07/29 23:55:09 - mmengine - INFO - Epoch(train) [17][1300/2505] lr: 5.0000e-04 eta: 1 day, 4:56:29 time: 0.9145 data_time: 0.0307 memory: 32703 grad_norm: 21.4649 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3825 loss: 1.3825 2022/07/29 23:55:31 - mmengine - INFO - Epoch(train) [17][1320/2505] lr: 5.0000e-04 eta: 1 day, 4:56:13 time: 1.0767 data_time: 0.0289 memory: 32703 grad_norm: 20.0175 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6715 loss: 1.6715 2022/07/29 23:55:48 - mmengine - INFO - Epoch(train) [17][1340/2505] lr: 5.0000e-04 eta: 1 day, 4:55:47 time: 0.8898 data_time: 0.0271 memory: 32703 grad_norm: 20.9166 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7388 loss: 1.7388 2022/07/29 23:56:10 - mmengine - INFO - Epoch(train) [17][1360/2505] lr: 5.0000e-04 eta: 1 day, 4:55:31 time: 1.0748 data_time: 0.0287 memory: 32703 grad_norm: 21.4536 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6945 loss: 1.6945 2022/07/29 23:56:29 - mmengine - INFO - Epoch(train) [17][1380/2505] lr: 5.0000e-04 eta: 1 day, 4:55:07 time: 0.9387 data_time: 0.0347 memory: 32703 grad_norm: 20.5404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5568 loss: 1.5568 2022/07/29 23:56:49 - mmengine - INFO - Epoch(train) [17][1400/2505] lr: 5.0000e-04 eta: 1 day, 4:54:48 time: 1.0223 data_time: 0.0279 memory: 32703 grad_norm: 21.2542 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5045 loss: 1.5045 2022/07/29 23:57:07 - mmengine - INFO - Epoch(train) [17][1420/2505] lr: 5.0000e-04 eta: 1 day, 4:54:23 time: 0.8902 data_time: 0.0265 memory: 32703 grad_norm: 21.3481 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4231 loss: 1.4231 2022/07/29 23:57:28 - mmengine - INFO - Epoch(train) [17][1440/2505] lr: 5.0000e-04 eta: 1 day, 4:54:04 time: 1.0347 data_time: 0.0273 memory: 32703 grad_norm: 20.6031 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4009 loss: 1.4009 2022/07/29 23:57:46 - mmengine - INFO - Epoch(train) [17][1460/2505] lr: 5.0000e-04 eta: 1 day, 4:53:41 time: 0.9322 data_time: 0.0301 memory: 32703 grad_norm: 21.2842 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5529 loss: 1.5529 2022/07/29 23:58:07 - mmengine - INFO - Epoch(train) [17][1480/2505] lr: 5.0000e-04 eta: 1 day, 4:53:21 time: 1.0168 data_time: 0.0334 memory: 32703 grad_norm: 21.4149 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4292 loss: 1.4292 2022/07/29 23:58:26 - mmengine - INFO - Epoch(train) [17][1500/2505] lr: 5.0000e-04 eta: 1 day, 4:53:00 time: 0.9726 data_time: 0.0274 memory: 32703 grad_norm: 21.9468 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6905 loss: 1.6905 2022/07/29 23:58:46 - mmengine - INFO - Epoch(train) [17][1520/2505] lr: 5.0000e-04 eta: 1 day, 4:52:38 time: 0.9754 data_time: 0.0334 memory: 32703 grad_norm: 21.0165 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5559 loss: 1.5559 2022/07/29 23:59:05 - mmengine - INFO - Epoch(train) [17][1540/2505] lr: 5.0000e-04 eta: 1 day, 4:52:17 time: 0.9843 data_time: 0.0293 memory: 32703 grad_norm: 21.1150 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6902 loss: 1.6902 2022/07/29 23:59:27 - mmengine - INFO - Epoch(train) [17][1560/2505] lr: 5.0000e-04 eta: 1 day, 4:52:01 time: 1.0775 data_time: 0.0324 memory: 32703 grad_norm: 21.7566 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7868 loss: 1.7868 2022/07/29 23:59:45 - mmengine - INFO - Epoch(train) [17][1580/2505] lr: 5.0000e-04 eta: 1 day, 4:51:36 time: 0.9022 data_time: 0.0307 memory: 32703 grad_norm: 20.6438 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5364 loss: 1.5364 2022/07/30 00:00:08 - mmengine - INFO - Epoch(train) [17][1600/2505] lr: 5.0000e-04 eta: 1 day, 4:51:23 time: 1.1537 data_time: 0.0293 memory: 32703 grad_norm: 20.3728 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4423 loss: 1.4423 2022/07/30 00:00:26 - mmengine - INFO - Epoch(train) [17][1620/2505] lr: 5.0000e-04 eta: 1 day, 4:50:59 time: 0.9144 data_time: 0.0305 memory: 32703 grad_norm: 20.5804 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5600 loss: 1.5600 2022/07/30 00:00:47 - mmengine - INFO - Epoch(train) [17][1640/2505] lr: 5.0000e-04 eta: 1 day, 4:50:41 time: 1.0409 data_time: 0.0263 memory: 32703 grad_norm: 21.3078 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5623 loss: 1.5623 2022/07/30 00:01:06 - mmengine - INFO - Epoch(train) [17][1660/2505] lr: 5.0000e-04 eta: 1 day, 4:50:17 time: 0.9269 data_time: 0.0301 memory: 32703 grad_norm: 20.9823 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6582 loss: 1.6582 2022/07/30 00:01:27 - mmengine - INFO - Epoch(train) [17][1680/2505] lr: 5.0000e-04 eta: 1 day, 4:50:00 time: 1.0673 data_time: 0.0278 memory: 32703 grad_norm: 21.3990 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7288 loss: 1.7288 2022/07/30 00:01:46 - mmengine - INFO - Epoch(train) [17][1700/2505] lr: 5.0000e-04 eta: 1 day, 4:49:36 time: 0.9291 data_time: 0.0324 memory: 32703 grad_norm: 21.1545 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6342 loss: 1.6342 2022/07/30 00:02:07 - mmengine - INFO - Epoch(train) [17][1720/2505] lr: 5.0000e-04 eta: 1 day, 4:49:20 time: 1.0680 data_time: 0.0386 memory: 32703 grad_norm: 21.1814 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4914 loss: 1.4914 2022/07/30 00:02:25 - mmengine - INFO - Epoch(train) [17][1740/2505] lr: 5.0000e-04 eta: 1 day, 4:48:55 time: 0.9070 data_time: 0.0285 memory: 32703 grad_norm: 20.8426 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5881 loss: 1.5881 2022/07/30 00:02:45 - mmengine - INFO - Epoch(train) [17][1760/2505] lr: 5.0000e-04 eta: 1 day, 4:48:35 time: 1.0071 data_time: 0.0286 memory: 32703 grad_norm: 21.3610 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5136 loss: 1.5136 2022/07/30 00:03:03 - mmengine - INFO - Epoch(train) [17][1780/2505] lr: 5.0000e-04 eta: 1 day, 4:48:09 time: 0.8772 data_time: 0.0276 memory: 32703 grad_norm: 20.2253 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3759 loss: 1.3759 2022/07/30 00:03:24 - mmengine - INFO - Epoch(train) [17][1800/2505] lr: 5.0000e-04 eta: 1 day, 4:47:53 time: 1.0904 data_time: 0.0316 memory: 32703 grad_norm: 20.7558 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6795 loss: 1.6795 2022/07/30 00:03:42 - mmengine - INFO - Epoch(train) [17][1820/2505] lr: 5.0000e-04 eta: 1 day, 4:47:26 time: 0.8630 data_time: 0.0250 memory: 32703 grad_norm: 21.0926 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5608 loss: 1.5608 2022/07/30 00:04:04 - mmengine - INFO - Epoch(train) [17][1840/2505] lr: 5.0000e-04 eta: 1 day, 4:47:11 time: 1.1052 data_time: 0.0276 memory: 32703 grad_norm: 21.8148 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.7196 loss: 1.7196 2022/07/30 00:04:22 - mmengine - INFO - Epoch(train) [17][1860/2505] lr: 5.0000e-04 eta: 1 day, 4:46:46 time: 0.8933 data_time: 0.0254 memory: 32703 grad_norm: 20.7879 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4285 loss: 1.4285 2022/07/30 00:04:43 - mmengine - INFO - Epoch(train) [17][1880/2505] lr: 5.0000e-04 eta: 1 day, 4:46:28 time: 1.0580 data_time: 0.0286 memory: 32703 grad_norm: 21.0661 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5538 loss: 1.5538 2022/07/30 00:05:00 - mmengine - INFO - Epoch(train) [17][1900/2505] lr: 5.0000e-04 eta: 1 day, 4:46:01 time: 0.8427 data_time: 0.0262 memory: 32703 grad_norm: 21.4069 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7665 loss: 1.7665 2022/07/30 00:05:23 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 00:05:23 - mmengine - INFO - Epoch(train) [17][1920/2505] lr: 5.0000e-04 eta: 1 day, 4:45:48 time: 1.1607 data_time: 0.0268 memory: 32703 grad_norm: 21.7491 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4769 loss: 1.4769 2022/07/30 00:05:40 - mmengine - INFO - Epoch(train) [17][1940/2505] lr: 5.0000e-04 eta: 1 day, 4:45:21 time: 0.8499 data_time: 0.0272 memory: 32703 grad_norm: 21.7196 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6987 loss: 1.6987 2022/07/30 00:06:01 - mmengine - INFO - Epoch(train) [17][1960/2505] lr: 5.0000e-04 eta: 1 day, 4:45:02 time: 1.0367 data_time: 0.0270 memory: 32703 grad_norm: 21.9893 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6182 loss: 1.6182 2022/07/30 00:06:20 - mmengine - INFO - Epoch(train) [17][1980/2505] lr: 5.0000e-04 eta: 1 day, 4:44:42 time: 0.9875 data_time: 0.0321 memory: 32703 grad_norm: 20.6018 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6911 loss: 1.6911 2022/07/30 00:06:41 - mmengine - INFO - Epoch(train) [17][2000/2505] lr: 5.0000e-04 eta: 1 day, 4:44:23 time: 1.0288 data_time: 0.0349 memory: 32703 grad_norm: 20.8702 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4071 loss: 1.4071 2022/07/30 00:07:01 - mmengine - INFO - Epoch(train) [17][2020/2505] lr: 5.0000e-04 eta: 1 day, 4:44:01 time: 0.9744 data_time: 0.0340 memory: 32703 grad_norm: 20.7377 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6041 loss: 1.6041 2022/07/30 00:07:20 - mmengine - INFO - Epoch(train) [17][2040/2505] lr: 5.0000e-04 eta: 1 day, 4:43:41 time: 0.9938 data_time: 0.0310 memory: 32703 grad_norm: 20.4922 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3519 loss: 1.3519 2022/07/30 00:07:39 - mmengine - INFO - Epoch(train) [17][2060/2505] lr: 5.0000e-04 eta: 1 day, 4:43:17 time: 0.9334 data_time: 0.0312 memory: 32703 grad_norm: 21.1164 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5876 loss: 1.5876 2022/07/30 00:07:59 - mmengine - INFO - Epoch(train) [17][2080/2505] lr: 5.0000e-04 eta: 1 day, 4:42:57 time: 0.9922 data_time: 0.0306 memory: 32703 grad_norm: 21.1592 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5018 loss: 1.5018 2022/07/30 00:08:17 - mmengine - INFO - Epoch(train) [17][2100/2505] lr: 5.0000e-04 eta: 1 day, 4:42:33 time: 0.9218 data_time: 0.0298 memory: 32703 grad_norm: 20.4545 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6941 loss: 1.6941 2022/07/30 00:08:38 - mmengine - INFO - Epoch(train) [17][2120/2505] lr: 5.0000e-04 eta: 1 day, 4:42:15 time: 1.0421 data_time: 0.0340 memory: 32703 grad_norm: 21.0657 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5967 loss: 1.5967 2022/07/30 00:08:57 - mmengine - INFO - Epoch(train) [17][2140/2505] lr: 5.0000e-04 eta: 1 day, 4:41:52 time: 0.9440 data_time: 0.0267 memory: 32703 grad_norm: 21.2452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7477 loss: 1.7477 2022/07/30 00:09:18 - mmengine - INFO - Epoch(train) [17][2160/2505] lr: 5.0000e-04 eta: 1 day, 4:41:33 time: 1.0169 data_time: 0.0342 memory: 32703 grad_norm: 21.1733 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5482 loss: 1.5482 2022/07/30 00:09:37 - mmengine - INFO - Epoch(train) [17][2180/2505] lr: 5.0000e-04 eta: 1 day, 4:41:11 time: 0.9715 data_time: 0.0329 memory: 32703 grad_norm: 21.9798 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5576 loss: 1.5576 2022/07/30 00:09:58 - mmengine - INFO - Epoch(train) [17][2200/2505] lr: 5.0000e-04 eta: 1 day, 4:40:53 time: 1.0356 data_time: 0.0325 memory: 32703 grad_norm: 21.0980 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.7002 loss: 1.7002 2022/07/30 00:10:16 - mmengine - INFO - Epoch(train) [17][2220/2505] lr: 5.0000e-04 eta: 1 day, 4:40:29 time: 0.9194 data_time: 0.0328 memory: 32703 grad_norm: 21.2214 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5440 loss: 1.5440 2022/07/30 00:10:37 - mmengine - INFO - Epoch(train) [17][2240/2505] lr: 5.0000e-04 eta: 1 day, 4:40:10 time: 1.0317 data_time: 0.0308 memory: 32703 grad_norm: 20.9565 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5168 loss: 1.5168 2022/07/30 00:10:56 - mmengine - INFO - Epoch(train) [17][2260/2505] lr: 5.0000e-04 eta: 1 day, 4:39:47 time: 0.9443 data_time: 0.0494 memory: 32703 grad_norm: 22.1540 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.6142 loss: 1.6142 2022/07/30 00:11:17 - mmengine - INFO - Epoch(train) [17][2280/2505] lr: 5.0000e-04 eta: 1 day, 4:39:29 time: 1.0535 data_time: 0.0496 memory: 32703 grad_norm: 20.2381 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5945 loss: 1.5945 2022/07/30 00:11:35 - mmengine - INFO - Epoch(train) [17][2300/2505] lr: 5.0000e-04 eta: 1 day, 4:39:05 time: 0.9198 data_time: 0.0315 memory: 32703 grad_norm: 21.9467 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5084 loss: 1.5084 2022/07/30 00:11:57 - mmengine - INFO - Epoch(train) [17][2320/2505] lr: 5.0000e-04 eta: 1 day, 4:38:50 time: 1.1062 data_time: 0.0320 memory: 32703 grad_norm: 21.4117 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3797 loss: 1.3797 2022/07/30 00:12:15 - mmengine - INFO - Epoch(train) [17][2340/2505] lr: 5.0000e-04 eta: 1 day, 4:38:26 time: 0.9109 data_time: 0.0300 memory: 32703 grad_norm: 19.9555 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6127 loss: 1.6127 2022/07/30 00:12:37 - mmengine - INFO - Epoch(train) [17][2360/2505] lr: 5.0000e-04 eta: 1 day, 4:38:09 time: 1.0641 data_time: 0.0309 memory: 32703 grad_norm: 20.7129 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4208 loss: 1.4208 2022/07/30 00:12:55 - mmengine - INFO - Epoch(train) [17][2380/2505] lr: 5.0000e-04 eta: 1 day, 4:37:44 time: 0.8971 data_time: 0.0290 memory: 32703 grad_norm: 21.2028 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5370 loss: 1.5370 2022/07/30 00:13:16 - mmengine - INFO - Epoch(train) [17][2400/2505] lr: 5.0000e-04 eta: 1 day, 4:37:26 time: 1.0602 data_time: 0.0344 memory: 32703 grad_norm: 20.4523 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5601 loss: 1.5601 2022/07/30 00:13:34 - mmengine - INFO - Epoch(train) [17][2420/2505] lr: 5.0000e-04 eta: 1 day, 4:37:02 time: 0.9030 data_time: 0.0305 memory: 32703 grad_norm: 21.1623 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6736 loss: 1.6736 2022/07/30 00:13:55 - mmengine - INFO - Epoch(train) [17][2440/2505] lr: 5.0000e-04 eta: 1 day, 4:36:45 time: 1.0689 data_time: 0.0297 memory: 32703 grad_norm: 20.7224 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4112 loss: 1.4112 2022/07/30 00:14:14 - mmengine - INFO - Epoch(train) [17][2460/2505] lr: 5.0000e-04 eta: 1 day, 4:36:21 time: 0.9218 data_time: 0.0331 memory: 32703 grad_norm: 22.1792 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5540 loss: 1.5540 2022/07/30 00:14:34 - mmengine - INFO - Epoch(train) [17][2480/2505] lr: 5.0000e-04 eta: 1 day, 4:36:01 time: 1.0110 data_time: 0.0308 memory: 32703 grad_norm: 20.3773 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6586 loss: 1.6586 2022/07/30 00:14:51 - mmengine - INFO - Epoch(train) [17][2500/2505] lr: 5.0000e-04 eta: 1 day, 4:35:35 time: 0.8725 data_time: 0.0255 memory: 32703 grad_norm: 20.4200 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3382 loss: 1.3382 2022/07/30 00:14:54 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 00:14:54 - mmengine - INFO - Epoch(train) [17][2505/2505] lr: 5.0000e-04 eta: 1 day, 4:35:35 time: 0.8585 data_time: 0.0180 memory: 32703 grad_norm: 20.4650 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2648 loss: 1.2648 2022/07/30 00:15:23 - mmengine - INFO - Epoch(train) [18][20/2505] lr: 5.0000e-04 eta: 1 day, 4:35:18 time: 1.4279 data_time: 0.8447 memory: 32703 grad_norm: 20.0178 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.6209 loss: 1.6209 2022/07/30 00:15:43 - mmengine - INFO - Epoch(train) [18][40/2505] lr: 5.0000e-04 eta: 1 day, 4:34:57 time: 0.9831 data_time: 0.3089 memory: 32703 grad_norm: 20.8114 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3504 loss: 1.3504 2022/07/30 00:16:04 - mmengine - INFO - Epoch(train) [18][60/2505] lr: 5.0000e-04 eta: 1 day, 4:34:40 time: 1.0590 data_time: 0.1368 memory: 32703 grad_norm: 20.3679 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5687 loss: 1.5687 2022/07/30 00:16:23 - mmengine - INFO - Epoch(train) [18][80/2505] lr: 5.0000e-04 eta: 1 day, 4:34:17 time: 0.9391 data_time: 0.0249 memory: 32703 grad_norm: 20.5353 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4118 loss: 1.4118 2022/07/30 00:16:45 - mmengine - INFO - Epoch(train) [18][100/2505] lr: 5.0000e-04 eta: 1 day, 4:34:04 time: 1.1391 data_time: 0.0270 memory: 32703 grad_norm: 20.2527 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5934 loss: 1.5934 2022/07/30 00:17:04 - mmengine - INFO - Epoch(train) [18][120/2505] lr: 5.0000e-04 eta: 1 day, 4:33:40 time: 0.9200 data_time: 0.0252 memory: 32703 grad_norm: 20.0858 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3328 loss: 1.3328 2022/07/30 00:17:25 - mmengine - INFO - Epoch(train) [18][140/2505] lr: 5.0000e-04 eta: 1 day, 4:33:21 time: 1.0397 data_time: 0.0294 memory: 32703 grad_norm: 20.4080 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3732 loss: 1.3732 2022/07/30 00:17:43 - mmengine - INFO - Epoch(train) [18][160/2505] lr: 5.0000e-04 eta: 1 day, 4:32:57 time: 0.9122 data_time: 0.0272 memory: 32703 grad_norm: 19.7827 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4835 loss: 1.4835 2022/07/30 00:18:04 - mmengine - INFO - Epoch(train) [18][180/2505] lr: 5.0000e-04 eta: 1 day, 4:32:40 time: 1.0580 data_time: 0.0282 memory: 32703 grad_norm: 20.5049 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4096 loss: 1.4096 2022/07/30 00:18:22 - mmengine - INFO - Epoch(train) [18][200/2505] lr: 5.0000e-04 eta: 1 day, 4:32:15 time: 0.9086 data_time: 0.0280 memory: 32703 grad_norm: 20.1178 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6438 loss: 1.6438 2022/07/30 00:18:43 - mmengine - INFO - Epoch(train) [18][220/2505] lr: 5.0000e-04 eta: 1 day, 4:31:56 time: 1.0290 data_time: 0.0263 memory: 32703 grad_norm: 20.0930 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3832 loss: 1.3832 2022/07/30 00:19:02 - mmengine - INFO - Epoch(train) [18][240/2505] lr: 5.0000e-04 eta: 1 day, 4:31:34 time: 0.9551 data_time: 0.0397 memory: 32703 grad_norm: 20.2749 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2737 loss: 1.2737 2022/07/30 00:19:23 - mmengine - INFO - Epoch(train) [18][260/2505] lr: 5.0000e-04 eta: 1 day, 4:31:16 time: 1.0377 data_time: 0.0326 memory: 32703 grad_norm: 21.5352 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4948 loss: 1.4948 2022/07/30 00:19:40 - mmengine - INFO - Epoch(train) [18][280/2505] lr: 5.0000e-04 eta: 1 day, 4:30:50 time: 0.8956 data_time: 0.0794 memory: 32703 grad_norm: 20.5970 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7147 loss: 1.7147 2022/07/30 00:20:02 - mmengine - INFO - Epoch(train) [18][300/2505] lr: 5.0000e-04 eta: 1 day, 4:30:33 time: 1.0521 data_time: 0.0268 memory: 32703 grad_norm: 20.5430 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5045 loss: 1.5045 2022/07/30 00:20:20 - mmengine - INFO - Epoch(train) [18][320/2505] lr: 5.0000e-04 eta: 1 day, 4:30:08 time: 0.9102 data_time: 0.0299 memory: 32703 grad_norm: 21.7901 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5349 loss: 1.5349 2022/07/30 00:20:42 - mmengine - INFO - Epoch(train) [18][340/2505] lr: 5.0000e-04 eta: 1 day, 4:29:53 time: 1.0955 data_time: 0.0296 memory: 32703 grad_norm: 20.4561 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6680 loss: 1.6680 2022/07/30 00:21:01 - mmengine - INFO - Epoch(train) [18][360/2505] lr: 5.0000e-04 eta: 1 day, 4:29:30 time: 0.9492 data_time: 0.0288 memory: 32703 grad_norm: 20.9939 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6395 loss: 1.6395 2022/07/30 00:21:20 - mmengine - INFO - Epoch(train) [18][380/2505] lr: 5.0000e-04 eta: 1 day, 4:29:09 time: 0.9785 data_time: 0.0267 memory: 32703 grad_norm: 20.1134 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4374 loss: 1.4374 2022/07/30 00:21:39 - mmengine - INFO - Epoch(train) [18][400/2505] lr: 5.0000e-04 eta: 1 day, 4:28:46 time: 0.9502 data_time: 0.0265 memory: 32703 grad_norm: 20.8229 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4145 loss: 1.4145 2022/07/30 00:21:54 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 00:21:59 - mmengine - INFO - Epoch(train) [18][420/2505] lr: 5.0000e-04 eta: 1 day, 4:28:26 time: 0.9873 data_time: 0.0405 memory: 32703 grad_norm: 21.2008 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4430 loss: 1.4430 2022/07/30 00:22:18 - mmengine - INFO - Epoch(train) [18][440/2505] lr: 5.0000e-04 eta: 1 day, 4:28:02 time: 0.9331 data_time: 0.0269 memory: 32703 grad_norm: 20.7723 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5646 loss: 1.5646 2022/07/30 00:22:38 - mmengine - INFO - Epoch(train) [18][460/2505] lr: 5.0000e-04 eta: 1 day, 4:27:42 time: 1.0018 data_time: 0.0267 memory: 32703 grad_norm: 20.7078 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4654 loss: 1.4654 2022/07/30 00:22:56 - mmengine - INFO - Epoch(train) [18][480/2505] lr: 5.0000e-04 eta: 1 day, 4:27:18 time: 0.9183 data_time: 0.0267 memory: 32703 grad_norm: 20.9074 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3657 loss: 1.3657 2022/07/30 00:23:18 - mmengine - INFO - Epoch(train) [18][500/2505] lr: 5.0000e-04 eta: 1 day, 4:27:03 time: 1.1108 data_time: 0.0289 memory: 32703 grad_norm: 21.2641 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6670 loss: 1.6670 2022/07/30 00:23:36 - mmengine - INFO - Epoch(train) [18][520/2505] lr: 5.0000e-04 eta: 1 day, 4:26:39 time: 0.9056 data_time: 0.0239 memory: 32703 grad_norm: 20.6362 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5693 loss: 1.5693 2022/07/30 00:23:57 - mmengine - INFO - Epoch(train) [18][540/2505] lr: 5.0000e-04 eta: 1 day, 4:26:20 time: 1.0349 data_time: 0.0318 memory: 32703 grad_norm: 20.9661 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4573 loss: 1.4573 2022/07/30 00:24:17 - mmengine - INFO - Epoch(train) [18][560/2505] lr: 5.0000e-04 eta: 1 day, 4:26:00 time: 0.9908 data_time: 0.0288 memory: 32703 grad_norm: 20.4540 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6287 loss: 1.6287 2022/07/30 00:24:37 - mmengine - INFO - Epoch(train) [18][580/2505] lr: 5.0000e-04 eta: 1 day, 4:25:40 time: 1.0106 data_time: 0.0348 memory: 32703 grad_norm: 20.2883 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5391 loss: 1.5391 2022/07/30 00:24:54 - mmengine - INFO - Epoch(train) [18][600/2505] lr: 5.0000e-04 eta: 1 day, 4:25:12 time: 0.8384 data_time: 0.0298 memory: 32703 grad_norm: 20.7793 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4444 loss: 1.4444 2022/07/30 00:25:16 - mmengine - INFO - Epoch(train) [18][620/2505] lr: 5.0000e-04 eta: 1 day, 4:24:58 time: 1.1292 data_time: 0.0321 memory: 32703 grad_norm: 20.8265 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4561 loss: 1.4561 2022/07/30 00:25:35 - mmengine - INFO - Epoch(train) [18][640/2505] lr: 5.0000e-04 eta: 1 day, 4:24:34 time: 0.9215 data_time: 0.0259 memory: 32703 grad_norm: 21.1163 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4223 loss: 1.4223 2022/07/30 00:25:57 - mmengine - INFO - Epoch(train) [18][660/2505] lr: 5.0000e-04 eta: 1 day, 4:24:20 time: 1.1298 data_time: 0.0320 memory: 32703 grad_norm: 20.8836 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5692 loss: 1.5692 2022/07/30 00:26:16 - mmengine - INFO - Epoch(train) [18][680/2505] lr: 5.0000e-04 eta: 1 day, 4:23:56 time: 0.9079 data_time: 0.0403 memory: 32703 grad_norm: 20.8341 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4963 loss: 1.4963 2022/07/30 00:26:35 - mmengine - INFO - Epoch(train) [18][700/2505] lr: 5.0000e-04 eta: 1 day, 4:23:35 time: 0.9817 data_time: 0.0298 memory: 32703 grad_norm: 20.9958 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4371 loss: 1.4371 2022/07/30 00:26:54 - mmengine - INFO - Epoch(train) [18][720/2505] lr: 5.0000e-04 eta: 1 day, 4:23:13 time: 0.9582 data_time: 0.0284 memory: 32703 grad_norm: 20.1202 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6101 loss: 1.6101 2022/07/30 00:27:15 - mmengine - INFO - Epoch(train) [18][740/2505] lr: 5.0000e-04 eta: 1 day, 4:22:54 time: 1.0339 data_time: 0.0337 memory: 32703 grad_norm: 20.5770 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.4336 loss: 1.4336 2022/07/30 00:27:34 - mmengine - INFO - Epoch(train) [18][760/2505] lr: 5.0000e-04 eta: 1 day, 4:22:31 time: 0.9374 data_time: 0.0273 memory: 32703 grad_norm: 20.8407 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2541 loss: 1.2541 2022/07/30 00:27:54 - mmengine - INFO - Epoch(train) [18][780/2505] lr: 5.0000e-04 eta: 1 day, 4:22:11 time: 0.9934 data_time: 0.0299 memory: 32703 grad_norm: 20.8079 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5790 loss: 1.5790 2022/07/30 00:28:13 - mmengine - INFO - Epoch(train) [18][800/2505] lr: 5.0000e-04 eta: 1 day, 4:21:48 time: 0.9400 data_time: 0.0379 memory: 32703 grad_norm: 20.2743 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4287 loss: 1.4287 2022/07/30 00:28:33 - mmengine - INFO - Epoch(train) [18][820/2505] lr: 5.0000e-04 eta: 1 day, 4:21:28 time: 0.9995 data_time: 0.0329 memory: 32703 grad_norm: 20.5219 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3662 loss: 1.3662 2022/07/30 00:28:53 - mmengine - INFO - Epoch(train) [18][840/2505] lr: 5.0000e-04 eta: 1 day, 4:21:09 time: 1.0267 data_time: 0.0273 memory: 32703 grad_norm: 20.6065 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7074 loss: 1.7074 2022/07/30 00:29:14 - mmengine - INFO - Epoch(train) [18][860/2505] lr: 5.0000e-04 eta: 1 day, 4:20:50 time: 1.0357 data_time: 0.0239 memory: 32703 grad_norm: 21.2161 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4694 loss: 1.4694 2022/07/30 00:29:32 - mmengine - INFO - Epoch(train) [18][880/2505] lr: 5.0000e-04 eta: 1 day, 4:20:25 time: 0.8918 data_time: 0.0311 memory: 32703 grad_norm: 20.3349 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4497 loss: 1.4497 2022/07/30 00:29:53 - mmengine - INFO - Epoch(train) [18][900/2505] lr: 5.0000e-04 eta: 1 day, 4:20:08 time: 1.0585 data_time: 0.0380 memory: 32703 grad_norm: 20.3230 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6452 loss: 1.6452 2022/07/30 00:30:11 - mmengine - INFO - Epoch(train) [18][920/2505] lr: 5.0000e-04 eta: 1 day, 4:19:43 time: 0.9106 data_time: 0.0293 memory: 32703 grad_norm: 20.7618 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7829 loss: 1.7829 2022/07/30 00:30:31 - mmengine - INFO - Epoch(train) [18][940/2505] lr: 5.0000e-04 eta: 1 day, 4:19:24 time: 1.0112 data_time: 0.0325 memory: 32703 grad_norm: 20.4400 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5169 loss: 1.5169 2022/07/30 00:30:50 - mmengine - INFO - Epoch(train) [18][960/2505] lr: 5.0000e-04 eta: 1 day, 4:19:00 time: 0.9289 data_time: 0.0317 memory: 32703 grad_norm: 20.4609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6920 loss: 1.6920 2022/07/30 00:31:10 - mmengine - INFO - Epoch(train) [18][980/2505] lr: 5.0000e-04 eta: 1 day, 4:18:41 time: 1.0147 data_time: 0.0336 memory: 32703 grad_norm: 20.2647 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4297 loss: 1.4297 2022/07/30 00:31:29 - mmengine - INFO - Epoch(train) [18][1000/2505] lr: 5.0000e-04 eta: 1 day, 4:18:17 time: 0.9279 data_time: 0.0331 memory: 32703 grad_norm: 20.5308 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7592 loss: 1.7592 2022/07/30 00:31:49 - mmengine - INFO - Epoch(train) [18][1020/2505] lr: 5.0000e-04 eta: 1 day, 4:17:57 time: 1.0040 data_time: 0.0322 memory: 32703 grad_norm: 20.4138 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5150 loss: 1.5150 2022/07/30 00:32:09 - mmengine - INFO - Epoch(train) [18][1040/2505] lr: 5.0000e-04 eta: 1 day, 4:17:38 time: 1.0055 data_time: 0.0291 memory: 32703 grad_norm: 20.8556 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4665 loss: 1.4665 2022/07/30 00:32:28 - mmengine - INFO - Epoch(train) [18][1060/2505] lr: 5.0000e-04 eta: 1 day, 4:17:16 time: 0.9586 data_time: 0.0298 memory: 32703 grad_norm: 20.7106 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4331 loss: 1.4331 2022/07/30 00:32:47 - mmengine - INFO - Epoch(train) [18][1080/2505] lr: 5.0000e-04 eta: 1 day, 4:16:53 time: 0.9499 data_time: 0.0288 memory: 32703 grad_norm: 20.7753 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5300 loss: 1.5300 2022/07/30 00:33:08 - mmengine - INFO - Epoch(train) [18][1100/2505] lr: 5.0000e-04 eta: 1 day, 4:16:34 time: 1.0311 data_time: 0.0297 memory: 32703 grad_norm: 21.2303 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.6444 loss: 1.6444 2022/07/30 00:33:27 - mmengine - INFO - Epoch(train) [18][1120/2505] lr: 5.0000e-04 eta: 1 day, 4:16:13 time: 0.9709 data_time: 0.0296 memory: 32703 grad_norm: 20.6218 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7301 loss: 1.7301 2022/07/30 00:33:48 - mmengine - INFO - Epoch(train) [18][1140/2505] lr: 5.0000e-04 eta: 1 day, 4:15:54 time: 1.0273 data_time: 0.0314 memory: 32703 grad_norm: 19.2724 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5905 loss: 1.5905 2022/07/30 00:34:07 - mmengine - INFO - Epoch(train) [18][1160/2505] lr: 5.0000e-04 eta: 1 day, 4:15:32 time: 0.9487 data_time: 0.0355 memory: 32703 grad_norm: 21.4769 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.8858 loss: 1.8858 2022/07/30 00:34:27 - mmengine - INFO - Epoch(train) [18][1180/2505] lr: 5.0000e-04 eta: 1 day, 4:15:13 time: 1.0352 data_time: 0.0323 memory: 32703 grad_norm: 21.3042 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7425 loss: 1.7425 2022/07/30 00:34:46 - mmengine - INFO - Epoch(train) [18][1200/2505] lr: 5.0000e-04 eta: 1 day, 4:14:49 time: 0.9123 data_time: 0.0341 memory: 32703 grad_norm: 21.0137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5958 loss: 1.5958 2022/07/30 00:35:07 - mmengine - INFO - Epoch(train) [18][1220/2505] lr: 5.0000e-04 eta: 1 day, 4:14:32 time: 1.0761 data_time: 0.0326 memory: 32703 grad_norm: 21.3574 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4586 loss: 1.4586 2022/07/30 00:35:26 - mmengine - INFO - Epoch(train) [18][1240/2505] lr: 5.0000e-04 eta: 1 day, 4:14:10 time: 0.9468 data_time: 0.0337 memory: 32703 grad_norm: 20.0767 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6485 loss: 1.6485 2022/07/30 00:35:46 - mmengine - INFO - Epoch(train) [18][1260/2505] lr: 5.0000e-04 eta: 1 day, 4:13:50 time: 1.0105 data_time: 0.0321 memory: 32703 grad_norm: 21.0801 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7751 loss: 1.7751 2022/07/30 00:36:05 - mmengine - INFO - Epoch(train) [18][1280/2505] lr: 5.0000e-04 eta: 1 day, 4:13:27 time: 0.9314 data_time: 0.0295 memory: 32703 grad_norm: 20.6264 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4338 loss: 1.4338 2022/07/30 00:36:26 - mmengine - INFO - Epoch(train) [18][1300/2505] lr: 5.0000e-04 eta: 1 day, 4:13:10 time: 1.0712 data_time: 0.0265 memory: 32703 grad_norm: 20.7280 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.7344 loss: 1.7344 2022/07/30 00:36:45 - mmengine - INFO - Epoch(train) [18][1320/2505] lr: 5.0000e-04 eta: 1 day, 4:12:47 time: 0.9304 data_time: 0.0313 memory: 32703 grad_norm: 20.4803 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7226 loss: 1.7226 2022/07/30 00:37:07 - mmengine - INFO - Epoch(train) [18][1340/2505] lr: 5.0000e-04 eta: 1 day, 4:12:30 time: 1.0755 data_time: 0.0271 memory: 32703 grad_norm: 20.8027 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5509 loss: 1.5509 2022/07/30 00:37:24 - mmengine - INFO - Epoch(train) [18][1360/2505] lr: 5.0000e-04 eta: 1 day, 4:12:04 time: 0.8790 data_time: 0.0322 memory: 32703 grad_norm: 20.7468 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6708 loss: 1.6708 2022/07/30 00:37:46 - mmengine - INFO - Epoch(train) [18][1380/2505] lr: 5.0000e-04 eta: 1 day, 4:11:48 time: 1.0784 data_time: 0.0266 memory: 32703 grad_norm: 20.7734 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5858 loss: 1.5858 2022/07/30 00:38:04 - mmengine - INFO - Epoch(train) [18][1400/2505] lr: 5.0000e-04 eta: 1 day, 4:11:24 time: 0.9216 data_time: 0.0310 memory: 32703 grad_norm: 20.4910 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4136 loss: 1.4136 2022/07/30 00:38:20 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 00:38:26 - mmengine - INFO - Epoch(train) [18][1420/2505] lr: 5.0000e-04 eta: 1 day, 4:11:08 time: 1.0961 data_time: 0.0313 memory: 32703 grad_norm: 20.5181 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4373 loss: 1.4373 2022/07/30 00:38:45 - mmengine - INFO - Epoch(train) [18][1440/2505] lr: 5.0000e-04 eta: 1 day, 4:10:46 time: 0.9549 data_time: 0.0311 memory: 32703 grad_norm: 21.3222 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2128 loss: 1.2128 2022/07/30 00:39:05 - mmengine - INFO - Epoch(train) [18][1460/2505] lr: 5.0000e-04 eta: 1 day, 4:10:26 time: 0.9972 data_time: 0.0259 memory: 32703 grad_norm: 21.3502 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7812 loss: 1.7812 2022/07/30 00:39:23 - mmengine - INFO - Epoch(train) [18][1480/2505] lr: 5.0000e-04 eta: 1 day, 4:10:00 time: 0.8728 data_time: 0.0262 memory: 32703 grad_norm: 20.5532 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6859 loss: 1.6859 2022/07/30 00:39:44 - mmengine - INFO - Epoch(train) [18][1500/2505] lr: 5.0000e-04 eta: 1 day, 4:09:44 time: 1.0805 data_time: 0.0329 memory: 32703 grad_norm: 21.8438 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5356 loss: 1.5356 2022/07/30 00:40:03 - mmengine - INFO - Epoch(train) [18][1520/2505] lr: 5.0000e-04 eta: 1 day, 4:09:21 time: 0.9432 data_time: 0.0303 memory: 32703 grad_norm: 20.4350 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6766 loss: 1.6766 2022/07/30 00:40:24 - mmengine - INFO - Epoch(train) [18][1540/2505] lr: 5.0000e-04 eta: 1 day, 4:09:03 time: 1.0427 data_time: 0.0329 memory: 32703 grad_norm: 20.3781 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2795 loss: 1.2795 2022/07/30 00:40:41 - mmengine - INFO - Epoch(train) [18][1560/2505] lr: 5.0000e-04 eta: 1 day, 4:08:37 time: 0.8753 data_time: 0.0359 memory: 32703 grad_norm: 21.4253 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5070 loss: 1.5070 2022/07/30 00:41:04 - mmengine - INFO - Epoch(train) [18][1580/2505] lr: 5.0000e-04 eta: 1 day, 4:08:21 time: 1.1041 data_time: 0.0315 memory: 32703 grad_norm: 20.7930 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5695 loss: 1.5695 2022/07/30 00:41:22 - mmengine - INFO - Epoch(train) [18][1600/2505] lr: 5.0000e-04 eta: 1 day, 4:07:57 time: 0.9044 data_time: 0.0328 memory: 32703 grad_norm: 20.7364 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5950 loss: 1.5950 2022/07/30 00:41:42 - mmengine - INFO - Epoch(train) [18][1620/2505] lr: 5.0000e-04 eta: 1 day, 4:07:39 time: 1.0393 data_time: 0.0289 memory: 32703 grad_norm: 19.4464 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5840 loss: 1.5840 2022/07/30 00:42:00 - mmengine - INFO - Epoch(train) [18][1640/2505] lr: 5.0000e-04 eta: 1 day, 4:07:14 time: 0.8908 data_time: 0.0277 memory: 32703 grad_norm: 20.6952 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5445 loss: 1.5445 2022/07/30 00:42:20 - mmengine - INFO - Epoch(train) [18][1660/2505] lr: 5.0000e-04 eta: 1 day, 4:06:54 time: 1.0143 data_time: 0.0307 memory: 32703 grad_norm: 21.2083 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5301 loss: 1.5301 2022/07/30 00:42:40 - mmengine - INFO - Epoch(train) [18][1680/2505] lr: 5.0000e-04 eta: 1 day, 4:06:32 time: 0.9650 data_time: 0.0285 memory: 32703 grad_norm: 19.8786 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5269 loss: 1.5269 2022/07/30 00:43:01 - mmengine - INFO - Epoch(train) [18][1700/2505] lr: 5.0000e-04 eta: 1 day, 4:06:15 time: 1.0530 data_time: 0.0311 memory: 32703 grad_norm: 21.5261 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4707 loss: 1.4707 2022/07/30 00:43:20 - mmengine - INFO - Epoch(train) [18][1720/2505] lr: 5.0000e-04 eta: 1 day, 4:05:52 time: 0.9373 data_time: 0.0294 memory: 32703 grad_norm: 20.0949 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5125 loss: 1.5125 2022/07/30 00:43:41 - mmengine - INFO - Epoch(train) [18][1740/2505] lr: 5.0000e-04 eta: 1 day, 4:05:35 time: 1.0831 data_time: 0.0267 memory: 32703 grad_norm: 21.3752 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5317 loss: 1.5317 2022/07/30 00:43:59 - mmengine - INFO - Epoch(train) [18][1760/2505] lr: 5.0000e-04 eta: 1 day, 4:05:11 time: 0.9111 data_time: 0.0258 memory: 32703 grad_norm: 21.0669 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7733 loss: 1.7733 2022/07/30 00:44:21 - mmengine - INFO - Epoch(train) [18][1780/2505] lr: 5.0000e-04 eta: 1 day, 4:04:54 time: 1.0550 data_time: 0.0297 memory: 32703 grad_norm: 21.0823 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3612 loss: 1.3612 2022/07/30 00:44:39 - mmengine - INFO - Epoch(train) [18][1800/2505] lr: 5.0000e-04 eta: 1 day, 4:04:30 time: 0.9301 data_time: 0.0302 memory: 32703 grad_norm: 20.5119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6140 loss: 1.6140 2022/07/30 00:45:00 - mmengine - INFO - Epoch(train) [18][1820/2505] lr: 5.0000e-04 eta: 1 day, 4:04:12 time: 1.0342 data_time: 0.0273 memory: 32703 grad_norm: 19.4763 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7299 loss: 1.7299 2022/07/30 00:45:19 - mmengine - INFO - Epoch(train) [18][1840/2505] lr: 5.0000e-04 eta: 1 day, 4:03:49 time: 0.9346 data_time: 0.0283 memory: 32703 grad_norm: 20.8405 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5007 loss: 1.5007 2022/07/30 00:45:39 - mmengine - INFO - Epoch(train) [18][1860/2505] lr: 5.0000e-04 eta: 1 day, 4:03:30 time: 1.0277 data_time: 0.0257 memory: 32703 grad_norm: 21.3330 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5669 loss: 1.5669 2022/07/30 00:45:57 - mmengine - INFO - Epoch(train) [18][1880/2505] lr: 5.0000e-04 eta: 1 day, 4:03:05 time: 0.8864 data_time: 0.0283 memory: 32703 grad_norm: 20.3270 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8153 loss: 1.8153 2022/07/30 00:46:19 - mmengine - INFO - Epoch(train) [18][1900/2505] lr: 5.0000e-04 eta: 1 day, 4:02:50 time: 1.1160 data_time: 0.0271 memory: 32703 grad_norm: 20.4542 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6236 loss: 1.6236 2022/07/30 00:46:37 - mmengine - INFO - Epoch(train) [18][1920/2505] lr: 5.0000e-04 eta: 1 day, 4:02:25 time: 0.8872 data_time: 0.0288 memory: 32703 grad_norm: 20.8368 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4321 loss: 1.4321 2022/07/30 00:46:58 - mmengine - INFO - Epoch(train) [18][1940/2505] lr: 5.0000e-04 eta: 1 day, 4:02:08 time: 1.0774 data_time: 0.0299 memory: 32703 grad_norm: 20.2728 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5204 loss: 1.5204 2022/07/30 00:47:15 - mmengine - INFO - Epoch(train) [18][1960/2505] lr: 5.0000e-04 eta: 1 day, 4:01:41 time: 0.8474 data_time: 0.0325 memory: 32703 grad_norm: 22.3287 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6069 loss: 1.6069 2022/07/30 00:47:38 - mmengine - INFO - Epoch(train) [18][1980/2505] lr: 5.0000e-04 eta: 1 day, 4:01:26 time: 1.1079 data_time: 0.0291 memory: 32703 grad_norm: 21.2196 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4805 loss: 1.4805 2022/07/30 00:47:56 - mmengine - INFO - Epoch(train) [18][2000/2505] lr: 5.0000e-04 eta: 1 day, 4:01:03 time: 0.9409 data_time: 0.0340 memory: 32703 grad_norm: 20.0778 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4816 loss: 1.4816 2022/07/30 00:48:18 - mmengine - INFO - Epoch(train) [18][2020/2505] lr: 5.0000e-04 eta: 1 day, 4:00:47 time: 1.0931 data_time: 0.0321 memory: 32703 grad_norm: 21.6078 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7563 loss: 1.7563 2022/07/30 00:48:36 - mmengine - INFO - Epoch(train) [18][2040/2505] lr: 5.0000e-04 eta: 1 day, 4:00:22 time: 0.8904 data_time: 0.0327 memory: 32703 grad_norm: 20.6779 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7780 loss: 1.7780 2022/07/30 00:48:57 - mmengine - INFO - Epoch(train) [18][2060/2505] lr: 5.0000e-04 eta: 1 day, 4:00:03 time: 1.0230 data_time: 0.0260 memory: 32703 grad_norm: 19.4052 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.6260 loss: 1.6260 2022/07/30 00:49:15 - mmengine - INFO - Epoch(train) [18][2080/2505] lr: 5.0000e-04 eta: 1 day, 3:59:39 time: 0.9040 data_time: 0.0276 memory: 32703 grad_norm: 21.2069 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4994 loss: 1.4994 2022/07/30 00:49:35 - mmengine - INFO - Epoch(train) [18][2100/2505] lr: 5.0000e-04 eta: 1 day, 3:59:19 time: 1.0127 data_time: 0.0300 memory: 32703 grad_norm: 21.0375 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3103 loss: 1.3103 2022/07/30 00:49:54 - mmengine - INFO - Epoch(train) [18][2120/2505] lr: 5.0000e-04 eta: 1 day, 3:58:58 time: 0.9719 data_time: 0.0258 memory: 32703 grad_norm: 20.4705 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.6283 loss: 1.6283 2022/07/30 00:50:15 - mmengine - INFO - Epoch(train) [18][2140/2505] lr: 5.0000e-04 eta: 1 day, 3:58:39 time: 1.0264 data_time: 0.0262 memory: 32703 grad_norm: 20.4949 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5044 loss: 1.5044 2022/07/30 00:50:34 - mmengine - INFO - Epoch(train) [18][2160/2505] lr: 5.0000e-04 eta: 1 day, 3:58:16 time: 0.9351 data_time: 0.0305 memory: 32703 grad_norm: 22.0015 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5774 loss: 1.5774 2022/07/30 00:50:54 - mmengine - INFO - Epoch(train) [18][2180/2505] lr: 5.0000e-04 eta: 1 day, 3:57:57 time: 1.0334 data_time: 0.0263 memory: 32703 grad_norm: 20.2688 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7743 loss: 1.7743 2022/07/30 00:51:13 - mmengine - INFO - Epoch(train) [18][2200/2505] lr: 5.0000e-04 eta: 1 day, 3:57:34 time: 0.9384 data_time: 0.0291 memory: 32703 grad_norm: 21.3027 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4547 loss: 1.4547 2022/07/30 00:51:33 - mmengine - INFO - Epoch(train) [18][2220/2505] lr: 5.0000e-04 eta: 1 day, 3:57:15 time: 1.0242 data_time: 0.0277 memory: 32703 grad_norm: 21.2562 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5234 loss: 1.5234 2022/07/30 00:51:52 - mmengine - INFO - Epoch(train) [18][2240/2505] lr: 5.0000e-04 eta: 1 day, 3:56:53 time: 0.9415 data_time: 0.0270 memory: 32703 grad_norm: 21.0758 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.7509 loss: 1.7509 2022/07/30 00:52:12 - mmengine - INFO - Epoch(train) [18][2260/2505] lr: 5.0000e-04 eta: 1 day, 3:56:31 time: 0.9689 data_time: 0.0295 memory: 32703 grad_norm: 20.8053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5888 loss: 1.5888 2022/07/30 00:52:33 - mmengine - INFO - Epoch(train) [18][2280/2505] lr: 5.0000e-04 eta: 1 day, 3:56:14 time: 1.0710 data_time: 0.0272 memory: 32703 grad_norm: 20.8734 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5395 loss: 1.5395 2022/07/30 00:52:51 - mmengine - INFO - Epoch(train) [18][2300/2505] lr: 5.0000e-04 eta: 1 day, 3:55:50 time: 0.9150 data_time: 0.0334 memory: 32703 grad_norm: 20.8813 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5667 loss: 1.5667 2022/07/30 00:53:12 - mmengine - INFO - Epoch(train) [18][2320/2505] lr: 5.0000e-04 eta: 1 day, 3:55:31 time: 1.0294 data_time: 0.0293 memory: 32703 grad_norm: 21.0239 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5794 loss: 1.5794 2022/07/30 00:53:30 - mmengine - INFO - Epoch(train) [18][2340/2505] lr: 5.0000e-04 eta: 1 day, 3:55:06 time: 0.8823 data_time: 0.0283 memory: 32703 grad_norm: 20.5514 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6805 loss: 1.6805 2022/07/30 00:53:51 - mmengine - INFO - Epoch(train) [18][2360/2505] lr: 5.0000e-04 eta: 1 day, 3:54:49 time: 1.0691 data_time: 0.0310 memory: 32703 grad_norm: 21.1617 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5720 loss: 1.5720 2022/07/30 00:54:09 - mmengine - INFO - Epoch(train) [18][2380/2505] lr: 5.0000e-04 eta: 1 day, 3:54:25 time: 0.9185 data_time: 0.0302 memory: 32703 grad_norm: 21.4894 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7507 loss: 1.7507 2022/07/30 00:54:31 - mmengine - INFO - Epoch(train) [18][2400/2505] lr: 5.0000e-04 eta: 1 day, 3:54:08 time: 1.0677 data_time: 0.0299 memory: 32703 grad_norm: 20.8548 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3540 loss: 1.3540 2022/07/30 00:54:45 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 00:54:49 - mmengine - INFO - Epoch(train) [18][2420/2505] lr: 5.0000e-04 eta: 1 day, 3:53:43 time: 0.8887 data_time: 0.0292 memory: 32703 grad_norm: 20.4786 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4794 loss: 1.4794 2022/07/30 00:55:10 - mmengine - INFO - Epoch(train) [18][2440/2505] lr: 5.0000e-04 eta: 1 day, 3:53:26 time: 1.0612 data_time: 0.0271 memory: 32703 grad_norm: 20.4556 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.8335 loss: 1.8335 2022/07/30 00:55:28 - mmengine - INFO - Epoch(train) [18][2460/2505] lr: 5.0000e-04 eta: 1 day, 3:53:01 time: 0.8938 data_time: 0.0318 memory: 32703 grad_norm: 20.9925 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4938 loss: 1.4938 2022/07/30 00:55:49 - mmengine - INFO - Epoch(train) [18][2480/2505] lr: 5.0000e-04 eta: 1 day, 3:52:43 time: 1.0558 data_time: 0.0275 memory: 32703 grad_norm: 21.1983 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4512 loss: 1.4512 2022/07/30 00:56:06 - mmengine - INFO - Epoch(train) [18][2500/2505] lr: 5.0000e-04 eta: 1 day, 3:52:18 time: 0.8833 data_time: 0.0261 memory: 32703 grad_norm: 20.7104 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5777 loss: 1.5777 2022/07/30 00:56:10 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 00:56:10 - mmengine - INFO - Epoch(train) [18][2505/2505] lr: 5.0000e-04 eta: 1 day, 3:52:18 time: 0.7596 data_time: 0.0212 memory: 32703 grad_norm: 20.7359 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.4589 loss: 1.4589 2022/07/30 00:56:10 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/07/30 00:56:18 - mmengine - INFO - Epoch(val) [18][20/2475] eta: 0:04:29 time: 0.1098 data_time: 0.0825 memory: 817 2022/07/30 00:56:20 - mmengine - INFO - Epoch(val) [18][40/2475] eta: 0:03:08 time: 0.0772 data_time: 0.0508 memory: 817 2022/07/30 00:56:22 - mmengine - INFO - Epoch(val) [18][60/2475] eta: 0:04:03 time: 0.1008 data_time: 0.0736 memory: 817 2022/07/30 00:56:23 - mmengine - INFO - Epoch(val) [18][80/2475] eta: 0:02:54 time: 0.0730 data_time: 0.0465 memory: 817 2022/07/30 00:56:25 - mmengine - INFO - Epoch(val) [18][100/2475] eta: 0:03:49 time: 0.0968 data_time: 0.0700 memory: 817 2022/07/30 00:56:27 - mmengine - INFO - Epoch(val) [18][120/2475] eta: 0:02:28 time: 0.0632 data_time: 0.0345 memory: 817 2022/07/30 00:56:28 - mmengine - INFO - Epoch(val) [18][140/2475] eta: 0:03:27 time: 0.0888 data_time: 0.0555 memory: 817 2022/07/30 00:56:30 - mmengine - INFO - Epoch(val) [18][160/2475] eta: 0:02:54 time: 0.0755 data_time: 0.0455 memory: 817 2022/07/30 00:56:32 - mmengine - INFO - Epoch(val) [18][180/2475] eta: 0:03:20 time: 0.0872 data_time: 0.0599 memory: 817 2022/07/30 00:56:33 - mmengine - INFO - Epoch(val) [18][200/2475] eta: 0:02:26 time: 0.0643 data_time: 0.0377 memory: 817 2022/07/30 00:56:35 - mmengine - INFO - Epoch(val) [18][220/2475] eta: 0:03:32 time: 0.0944 data_time: 0.0688 memory: 817 2022/07/30 00:56:36 - mmengine - INFO - Epoch(val) [18][240/2475] eta: 0:02:33 time: 0.0685 data_time: 0.0412 memory: 817 2022/07/30 00:56:38 - mmengine - INFO - Epoch(val) [18][260/2475] eta: 0:02:59 time: 0.0812 data_time: 0.0535 memory: 817 2022/07/30 00:56:39 - mmengine - INFO - Epoch(val) [18][280/2475] eta: 0:03:03 time: 0.0838 data_time: 0.0560 memory: 817 2022/07/30 00:56:41 - mmengine - INFO - Epoch(val) [18][300/2475] eta: 0:02:49 time: 0.0780 data_time: 0.0521 memory: 817 2022/07/30 00:56:43 - mmengine - INFO - Epoch(val) [18][320/2475] eta: 0:02:55 time: 0.0815 data_time: 0.0527 memory: 817 2022/07/30 00:56:44 - mmengine - INFO - Epoch(val) [18][340/2475] eta: 0:02:40 time: 0.0752 data_time: 0.0480 memory: 817 2022/07/30 00:56:46 - mmengine - INFO - Epoch(val) [18][360/2475] eta: 0:02:58 time: 0.0842 data_time: 0.0559 memory: 817 2022/07/30 00:56:47 - mmengine - INFO - Epoch(val) [18][380/2475] eta: 0:02:43 time: 0.0782 data_time: 0.0455 memory: 817 2022/07/30 00:56:49 - mmengine - INFO - Epoch(val) [18][400/2475] eta: 0:02:59 time: 0.0864 data_time: 0.0543 memory: 817 2022/07/30 00:56:51 - mmengine - INFO - Epoch(val) [18][420/2475] eta: 0:02:26 time: 0.0714 data_time: 0.0431 memory: 817 2022/07/30 00:56:52 - mmengine - INFO - Epoch(val) [18][440/2475] eta: 0:03:04 time: 0.0907 data_time: 0.0625 memory: 817 2022/07/30 00:56:54 - mmengine - INFO - Epoch(val) [18][460/2475] eta: 0:02:35 time: 0.0774 data_time: 0.0504 memory: 817 2022/07/30 00:56:56 - mmengine - INFO - Epoch(val) [18][480/2475] eta: 0:03:09 time: 0.0952 data_time: 0.0689 memory: 817 2022/07/30 00:56:57 - mmengine - INFO - Epoch(val) [18][500/2475] eta: 0:02:12 time: 0.0669 data_time: 0.0406 memory: 817 2022/07/30 00:56:59 - mmengine - INFO - Epoch(val) [18][520/2475] eta: 0:02:47 time: 0.0858 data_time: 0.0588 memory: 817 2022/07/30 00:57:01 - mmengine - INFO - Epoch(val) [18][540/2475] eta: 0:02:37 time: 0.0813 data_time: 0.0544 memory: 817 2022/07/30 00:57:02 - mmengine - INFO - Epoch(val) [18][560/2475] eta: 0:02:53 time: 0.0907 data_time: 0.0635 memory: 817 2022/07/30 00:57:04 - mmengine - INFO - Epoch(val) [18][580/2475] eta: 0:02:22 time: 0.0749 data_time: 0.0490 memory: 817 2022/07/30 00:57:06 - mmengine - INFO - Epoch(val) [18][600/2475] eta: 0:02:54 time: 0.0931 data_time: 0.0655 memory: 817 2022/07/30 00:57:07 - mmengine - INFO - Epoch(val) [18][620/2475] eta: 0:02:07 time: 0.0685 data_time: 0.0415 memory: 817 2022/07/30 00:57:09 - mmengine - INFO - Epoch(val) [18][640/2475] eta: 0:03:00 time: 0.0985 data_time: 0.0263 memory: 817 2022/07/30 00:57:10 - mmengine - INFO - Epoch(val) [18][660/2475] eta: 0:02:03 time: 0.0680 data_time: 0.0369 memory: 817 2022/07/30 00:57:12 - mmengine - INFO - Epoch(val) [18][680/2475] eta: 0:02:13 time: 0.0743 data_time: 0.0474 memory: 817 2022/07/30 00:57:14 - mmengine - INFO - Epoch(val) [18][700/2475] eta: 0:02:35 time: 0.0877 data_time: 0.0606 memory: 817 2022/07/30 00:57:15 - mmengine - INFO - Epoch(val) [18][720/2475] eta: 0:02:17 time: 0.0786 data_time: 0.0517 memory: 817 2022/07/30 00:57:17 - mmengine - INFO - Epoch(val) [18][740/2475] eta: 0:02:30 time: 0.0865 data_time: 0.0595 memory: 817 2022/07/30 00:57:19 - mmengine - INFO - Epoch(val) [18][760/2475] eta: 0:02:18 time: 0.0806 data_time: 0.0549 memory: 817 2022/07/30 00:57:20 - mmengine - INFO - Epoch(val) [18][780/2475] eta: 0:02:25 time: 0.0859 data_time: 0.0561 memory: 817 2022/07/30 00:57:22 - mmengine - INFO - Epoch(val) [18][800/2475] eta: 0:01:57 time: 0.0702 data_time: 0.0433 memory: 817 2022/07/30 00:57:23 - mmengine - INFO - Epoch(val) [18][820/2475] eta: 0:02:12 time: 0.0802 data_time: 0.0540 memory: 817 2022/07/30 00:57:25 - mmengine - INFO - Epoch(val) [18][840/2475] eta: 0:02:24 time: 0.0881 data_time: 0.0609 memory: 817 2022/07/30 00:57:27 - mmengine - INFO - Epoch(val) [18][860/2475] eta: 0:01:54 time: 0.0708 data_time: 0.0449 memory: 817 2022/07/30 00:57:28 - mmengine - INFO - Epoch(val) [18][880/2475] eta: 0:02:35 time: 0.0976 data_time: 0.0686 memory: 817 2022/07/30 00:57:30 - mmengine - INFO - Epoch(val) [18][900/2475] eta: 0:01:53 time: 0.0718 data_time: 0.0427 memory: 817 2022/07/30 00:57:32 - mmengine - INFO - Epoch(val) [18][920/2475] eta: 0:02:31 time: 0.0975 data_time: 0.0702 memory: 817 2022/07/30 00:57:33 - mmengine - INFO - Epoch(val) [18][940/2475] eta: 0:01:55 time: 0.0756 data_time: 0.0493 memory: 817 2022/07/30 00:57:35 - mmengine - INFO - Epoch(val) [18][960/2475] eta: 0:02:10 time: 0.0864 data_time: 0.0595 memory: 817 2022/07/30 00:57:37 - mmengine - INFO - Epoch(val) [18][980/2475] eta: 0:01:55 time: 0.0771 data_time: 0.0508 memory: 817 2022/07/30 00:57:38 - mmengine - INFO - Epoch(val) [18][1000/2475] eta: 0:02:04 time: 0.0844 data_time: 0.0546 memory: 817 2022/07/30 00:57:40 - mmengine - INFO - Epoch(val) [18][1020/2475] eta: 0:01:43 time: 0.0711 data_time: 0.0420 memory: 817 2022/07/30 00:57:41 - mmengine - INFO - Epoch(val) [18][1040/2475] eta: 0:02:04 time: 0.0866 data_time: 0.0603 memory: 817 2022/07/30 00:57:43 - mmengine - INFO - Epoch(val) [18][1060/2475] eta: 0:01:42 time: 0.0726 data_time: 0.0432 memory: 817 2022/07/30 00:57:45 - mmengine - INFO - Epoch(val) [18][1080/2475] eta: 0:02:05 time: 0.0901 data_time: 0.0631 memory: 817 2022/07/30 00:57:46 - mmengine - INFO - Epoch(val) [18][1100/2475] eta: 0:01:28 time: 0.0642 data_time: 0.0362 memory: 817 2022/07/30 00:57:48 - mmengine - INFO - Epoch(val) [18][1120/2475] eta: 0:02:12 time: 0.0974 data_time: 0.0705 memory: 817 2022/07/30 00:57:50 - mmengine - INFO - Epoch(val) [18][1140/2475] eta: 0:01:44 time: 0.0781 data_time: 0.0503 memory: 817 2022/07/30 00:57:51 - mmengine - INFO - Epoch(val) [18][1160/2475] eta: 0:01:44 time: 0.0792 data_time: 0.0521 memory: 817 2022/07/30 00:57:53 - mmengine - INFO - Epoch(val) [18][1180/2475] eta: 0:01:52 time: 0.0872 data_time: 0.0605 memory: 817 2022/07/30 00:57:54 - mmengine - INFO - Epoch(val) [18][1200/2475] eta: 0:01:31 time: 0.0714 data_time: 0.0426 memory: 817 2022/07/30 00:57:56 - mmengine - INFO - Epoch(val) [18][1220/2475] eta: 0:01:50 time: 0.0879 data_time: 0.0614 memory: 817 2022/07/30 00:57:58 - mmengine - INFO - Epoch(val) [18][1240/2475] eta: 0:01:37 time: 0.0788 data_time: 0.0453 memory: 817 2022/07/30 00:57:59 - mmengine - INFO - Epoch(val) [18][1260/2475] eta: 0:01:48 time: 0.0891 data_time: 0.0618 memory: 817 2022/07/30 00:58:01 - mmengine - INFO - Epoch(val) [18][1280/2475] eta: 0:01:31 time: 0.0764 data_time: 0.0490 memory: 817 2022/07/30 00:58:03 - mmengine - INFO - Epoch(val) [18][1300/2475] eta: 0:01:31 time: 0.0778 data_time: 0.0520 memory: 817 2022/07/30 00:58:05 - mmengine - INFO - Epoch(val) [18][1320/2475] eta: 0:02:01 time: 0.1054 data_time: 0.0767 memory: 817 2022/07/30 00:58:06 - mmengine - INFO - Epoch(val) [18][1340/2475] eta: 0:01:21 time: 0.0718 data_time: 0.0420 memory: 817 2022/07/30 00:58:08 - mmengine - INFO - Epoch(val) [18][1360/2475] eta: 0:01:39 time: 0.0893 data_time: 0.0435 memory: 817 2022/07/30 00:58:09 - mmengine - INFO - Epoch(val) [18][1380/2475] eta: 0:01:14 time: 0.0679 data_time: 0.0355 memory: 817 2022/07/30 00:58:11 - mmengine - INFO - Epoch(val) [18][1400/2475] eta: 0:02:01 time: 0.1132 data_time: 0.0869 memory: 817 2022/07/30 00:58:13 - mmengine - INFO - Epoch(val) [18][1420/2475] eta: 0:01:14 time: 0.0706 data_time: 0.0432 memory: 817 2022/07/30 00:58:15 - mmengine - INFO - Epoch(val) [18][1440/2475] eta: 0:01:28 time: 0.0854 data_time: 0.0580 memory: 817 2022/07/30 00:58:16 - mmengine - INFO - Epoch(val) [18][1460/2475] eta: 0:01:14 time: 0.0730 data_time: 0.0448 memory: 817 2022/07/30 00:58:18 - mmengine - INFO - Epoch(val) [18][1480/2475] eta: 0:01:37 time: 0.0979 data_time: 0.0663 memory: 817 2022/07/30 00:58:19 - mmengine - INFO - Epoch(val) [18][1500/2475] eta: 0:01:03 time: 0.0656 data_time: 0.0383 memory: 817 2022/07/30 00:58:21 - mmengine - INFO - Epoch(val) [18][1520/2475] eta: 0:01:30 time: 0.0944 data_time: 0.0678 memory: 817 2022/07/30 00:58:23 - mmengine - INFO - Epoch(val) [18][1540/2475] eta: 0:00:58 time: 0.0627 data_time: 0.0366 memory: 817 2022/07/30 00:58:24 - mmengine - INFO - Epoch(val) [18][1560/2475] eta: 0:01:19 time: 0.0869 data_time: 0.0598 memory: 817 2022/07/30 00:58:26 - mmengine - INFO - Epoch(val) [18][1580/2475] eta: 0:01:07 time: 0.0759 data_time: 0.0484 memory: 817 2022/07/30 00:58:28 - mmengine - INFO - Epoch(val) [18][1600/2475] eta: 0:01:25 time: 0.0980 data_time: 0.0676 memory: 817 2022/07/30 00:58:29 - mmengine - INFO - Epoch(val) [18][1620/2475] eta: 0:01:02 time: 0.0735 data_time: 0.0461 memory: 817 2022/07/30 00:58:31 - mmengine - INFO - Epoch(val) [18][1640/2475] eta: 0:01:17 time: 0.0924 data_time: 0.0647 memory: 817 2022/07/30 00:58:33 - mmengine - INFO - Epoch(val) [18][1660/2475] eta: 0:01:02 time: 0.0764 data_time: 0.0483 memory: 817 2022/07/30 00:58:34 - mmengine - INFO - Epoch(val) [18][1680/2475] eta: 0:01:01 time: 0.0769 data_time: 0.0499 memory: 817 2022/07/30 00:58:36 - mmengine - INFO - Epoch(val) [18][1700/2475] eta: 0:01:05 time: 0.0849 data_time: 0.0575 memory: 817 2022/07/30 00:58:38 - mmengine - INFO - Epoch(val) [18][1720/2475] eta: 0:01:21 time: 0.1073 data_time: 0.0812 memory: 817 2022/07/30 00:58:39 - mmengine - INFO - Epoch(val) [18][1740/2475] eta: 0:00:43 time: 0.0598 data_time: 0.0333 memory: 817 2022/07/30 00:58:41 - mmengine - INFO - Epoch(val) [18][1760/2475] eta: 0:01:02 time: 0.0875 data_time: 0.0591 memory: 817 2022/07/30 00:58:42 - mmengine - INFO - Epoch(val) [18][1780/2475] eta: 0:00:48 time: 0.0701 data_time: 0.0416 memory: 817 2022/07/30 00:58:44 - mmengine - INFO - Epoch(val) [18][1800/2475] eta: 0:00:59 time: 0.0881 data_time: 0.0598 memory: 817 2022/07/30 00:58:45 - mmengine - INFO - Epoch(val) [18][1820/2475] eta: 0:00:44 time: 0.0686 data_time: 0.0408 memory: 817 2022/07/30 00:58:47 - mmengine - INFO - Epoch(val) [18][1840/2475] eta: 0:00:53 time: 0.0849 data_time: 0.0576 memory: 817 2022/07/30 00:58:48 - mmengine - INFO - Epoch(val) [18][1860/2475] eta: 0:00:33 time: 0.0544 data_time: 0.0262 memory: 817 2022/07/30 00:58:50 - mmengine - INFO - Epoch(val) [18][1880/2475] eta: 0:00:49 time: 0.0832 data_time: 0.0565 memory: 817 2022/07/30 00:58:52 - mmengine - INFO - Epoch(val) [18][1900/2475] eta: 0:00:46 time: 0.0800 data_time: 0.0519 memory: 817 2022/07/30 00:58:53 - mmengine - INFO - Epoch(val) [18][1920/2475] eta: 0:00:35 time: 0.0643 data_time: 0.0374 memory: 817 2022/07/30 00:58:54 - mmengine - INFO - Epoch(val) [18][1940/2475] eta: 0:00:34 time: 0.0640 data_time: 0.0372 memory: 817 2022/07/30 00:58:56 - mmengine - INFO - Epoch(val) [18][1960/2475] eta: 0:00:54 time: 0.1066 data_time: 0.0794 memory: 817 2022/07/30 00:58:58 - mmengine - INFO - Epoch(val) [18][1980/2475] eta: 0:00:45 time: 0.0910 data_time: 0.0610 memory: 817 2022/07/30 00:58:59 - mmengine - INFO - Epoch(val) [18][2000/2475] eta: 0:00:25 time: 0.0530 data_time: 0.0255 memory: 817 2022/07/30 00:59:01 - mmengine - INFO - Epoch(val) [18][2020/2475] eta: 0:00:48 time: 0.1073 data_time: 0.0789 memory: 817 2022/07/30 00:59:03 - mmengine - INFO - Epoch(val) [18][2040/2475] eta: 0:00:36 time: 0.0848 data_time: 0.0532 memory: 817 2022/07/30 00:59:05 - mmengine - INFO - Epoch(val) [18][2060/2475] eta: 0:00:39 time: 0.0958 data_time: 0.0679 memory: 817 2022/07/30 00:59:06 - mmengine - INFO - Epoch(val) [18][2080/2475] eta: 0:00:22 time: 0.0578 data_time: 0.0296 memory: 817 2022/07/30 00:59:08 - mmengine - INFO - Epoch(val) [18][2100/2475] eta: 0:00:39 time: 0.1041 data_time: 0.0581 memory: 817 2022/07/30 00:59:09 - mmengine - INFO - Epoch(val) [18][2120/2475] eta: 0:00:20 time: 0.0585 data_time: 0.0302 memory: 817 2022/07/30 00:59:11 - mmengine - INFO - Epoch(val) [18][2140/2475] eta: 0:00:27 time: 0.0814 data_time: 0.0527 memory: 817 2022/07/30 00:59:13 - mmengine - INFO - Epoch(val) [18][2160/2475] eta: 0:00:29 time: 0.0944 data_time: 0.0665 memory: 817 2022/07/30 00:59:15 - mmengine - INFO - Epoch(val) [18][2180/2475] eta: 0:00:24 time: 0.0845 data_time: 0.0575 memory: 817 2022/07/30 00:59:16 - mmengine - INFO - Epoch(val) [18][2200/2475] eta: 0:00:14 time: 0.0511 data_time: 0.0214 memory: 817 2022/07/30 00:59:17 - mmengine - INFO - Epoch(val) [18][2220/2475] eta: 0:00:19 time: 0.0772 data_time: 0.0502 memory: 817 2022/07/30 00:59:19 - mmengine - INFO - Epoch(val) [18][2240/2475] eta: 0:00:22 time: 0.0973 data_time: 0.0704 memory: 817 2022/07/30 00:59:20 - mmengine - INFO - Epoch(val) [18][2260/2475] eta: 0:00:08 time: 0.0402 data_time: 0.0090 memory: 817 2022/07/30 00:59:21 - mmengine - INFO - Epoch(val) [18][2280/2475] eta: 0:00:13 time: 0.0698 data_time: 0.0399 memory: 817 2022/07/30 00:59:23 - mmengine - INFO - Epoch(val) [18][2300/2475] eta: 0:00:16 time: 0.0915 data_time: 0.0632 memory: 817 2022/07/30 00:59:25 - mmengine - INFO - Epoch(val) [18][2320/2475] eta: 0:00:12 time: 0.0815 data_time: 0.0556 memory: 817 2022/07/30 00:59:26 - mmengine - INFO - Epoch(val) [18][2340/2475] eta: 0:00:10 time: 0.0749 data_time: 0.0481 memory: 817 2022/07/30 00:59:28 - mmengine - INFO - Epoch(val) [18][2360/2475] eta: 0:00:10 time: 0.0911 data_time: 0.0620 memory: 817 2022/07/30 00:59:29 - mmengine - INFO - Epoch(val) [18][2380/2475] eta: 0:00:05 time: 0.0602 data_time: 0.0297 memory: 817 2022/07/30 00:59:30 - mmengine - INFO - Epoch(val) [18][2400/2475] eta: 0:00:04 time: 0.0622 data_time: 0.0352 memory: 817 2022/07/30 00:59:31 - mmengine - INFO - Epoch(val) [18][2420/2475] eta: 0:00:01 time: 0.0273 data_time: 0.0015 memory: 817 2022/07/30 00:59:32 - mmengine - INFO - Epoch(val) [18][2440/2475] eta: 0:00:00 time: 0.0272 data_time: 0.0016 memory: 817 2022/07/30 00:59:32 - mmengine - INFO - Epoch(val) [18][2460/2475] eta: 0:00:00 time: 0.0314 data_time: 0.0064 memory: 817 2022/07/30 00:59:34 - mmengine - INFO - Epoch(val) [18][2475/2475] acc/top1: 0.6999 acc/top5: 0.8917 acc/mean1: 0.6999 2022/07/30 00:59:35 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_13.pth is removed 2022/07/30 00:59:36 - mmengine - INFO - The best checkpoint with 0.6999 acc/top1 at 19 epoch is saved to best_acc/top1_epoch_19.pth. 2022/07/30 01:00:02 - mmengine - INFO - Epoch(train) [19][20/2505] lr: 5.0000e-04 eta: 1 day, 3:51:55 time: 1.2993 data_time: 0.7078 memory: 32703 grad_norm: 20.6986 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3914 loss: 1.3914 2022/07/30 01:00:21 - mmengine - INFO - Epoch(train) [19][40/2505] lr: 5.0000e-04 eta: 1 day, 3:51:34 time: 0.9741 data_time: 0.3475 memory: 32703 grad_norm: 20.9624 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7268 loss: 1.7268 2022/07/30 01:00:43 - mmengine - INFO - Epoch(train) [19][60/2505] lr: 5.0000e-04 eta: 1 day, 3:51:18 time: 1.0921 data_time: 0.5103 memory: 32703 grad_norm: 20.6596 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3796 loss: 1.3796 2022/07/30 01:01:03 - mmengine - INFO - Epoch(train) [19][80/2505] lr: 5.0000e-04 eta: 1 day, 3:50:57 time: 0.9693 data_time: 0.3472 memory: 32703 grad_norm: 19.9730 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4602 loss: 1.4602 2022/07/30 01:01:23 - mmengine - INFO - Epoch(train) [19][100/2505] lr: 5.0000e-04 eta: 1 day, 3:50:36 time: 0.9970 data_time: 0.2913 memory: 32703 grad_norm: 20.8954 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4531 loss: 1.4531 2022/07/30 01:01:43 - mmengine - INFO - Epoch(train) [19][120/2505] lr: 5.0000e-04 eta: 1 day, 3:50:16 time: 0.9939 data_time: 0.3493 memory: 32703 grad_norm: 20.5901 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5017 loss: 1.5017 2022/07/30 01:02:03 - mmengine - INFO - Epoch(train) [19][140/2505] lr: 5.0000e-04 eta: 1 day, 3:49:56 time: 1.0063 data_time: 0.3414 memory: 32703 grad_norm: 19.6489 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5040 loss: 1.5040 2022/07/30 01:02:21 - mmengine - INFO - Epoch(train) [19][160/2505] lr: 5.0000e-04 eta: 1 day, 3:49:32 time: 0.9136 data_time: 0.2419 memory: 32703 grad_norm: 20.2926 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2807 loss: 1.2807 2022/07/30 01:02:42 - mmengine - INFO - Epoch(train) [19][180/2505] lr: 5.0000e-04 eta: 1 day, 3:49:15 time: 1.0688 data_time: 0.3807 memory: 32703 grad_norm: 19.8504 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8582 loss: 1.8582 2022/07/30 01:03:02 - mmengine - INFO - Epoch(train) [19][200/2505] lr: 5.0000e-04 eta: 1 day, 3:48:53 time: 0.9603 data_time: 0.2733 memory: 32703 grad_norm: 21.4123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4111 loss: 1.4111 2022/07/30 01:03:22 - mmengine - INFO - Epoch(train) [19][220/2505] lr: 5.0000e-04 eta: 1 day, 3:48:34 time: 1.0266 data_time: 0.2211 memory: 32703 grad_norm: 20.7111 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4773 loss: 1.4773 2022/07/30 01:03:40 - mmengine - INFO - Epoch(train) [19][240/2505] lr: 5.0000e-04 eta: 1 day, 3:48:09 time: 0.8813 data_time: 0.2011 memory: 32703 grad_norm: 20.2277 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4158 loss: 1.4158 2022/07/30 01:04:01 - mmengine - INFO - Epoch(train) [19][260/2505] lr: 5.0000e-04 eta: 1 day, 3:47:51 time: 1.0551 data_time: 0.4381 memory: 32703 grad_norm: 19.9801 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5497 loss: 1.5497 2022/07/30 01:04:20 - mmengine - INFO - Epoch(train) [19][280/2505] lr: 5.0000e-04 eta: 1 day, 3:47:30 time: 0.9733 data_time: 0.3477 memory: 32703 grad_norm: 19.9799 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3094 loss: 1.3094 2022/07/30 01:04:41 - mmengine - INFO - Epoch(train) [19][300/2505] lr: 5.0000e-04 eta: 1 day, 3:47:12 time: 1.0316 data_time: 0.4165 memory: 32703 grad_norm: 21.0125 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4179 loss: 1.4179 2022/07/30 01:05:00 - mmengine - INFO - Epoch(train) [19][320/2505] lr: 5.0000e-04 eta: 1 day, 3:46:51 time: 0.9790 data_time: 0.2075 memory: 32703 grad_norm: 21.0766 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3957 loss: 1.3957 2022/07/30 01:05:21 - mmengine - INFO - Epoch(train) [19][340/2505] lr: 5.0000e-04 eta: 1 day, 3:46:31 time: 1.0231 data_time: 0.2748 memory: 32703 grad_norm: 21.4080 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6725 loss: 1.6725 2022/07/30 01:05:39 - mmengine - INFO - Epoch(train) [19][360/2505] lr: 5.0000e-04 eta: 1 day, 3:46:07 time: 0.9089 data_time: 0.3177 memory: 32703 grad_norm: 21.0506 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6076 loss: 1.6076 2022/07/30 01:06:01 - mmengine - INFO - Epoch(train) [19][380/2505] lr: 5.0000e-04 eta: 1 day, 3:45:50 time: 1.0715 data_time: 0.4428 memory: 32703 grad_norm: 20.2443 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3129 loss: 1.3129 2022/07/30 01:06:18 - mmengine - INFO - Epoch(train) [19][400/2505] lr: 5.0000e-04 eta: 1 day, 3:45:24 time: 0.8649 data_time: 0.2722 memory: 32703 grad_norm: 20.0879 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6882 loss: 1.6882 2022/07/30 01:06:39 - mmengine - INFO - Epoch(train) [19][420/2505] lr: 5.0000e-04 eta: 1 day, 3:45:07 time: 1.0558 data_time: 0.4636 memory: 32703 grad_norm: 20.6281 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6246 loss: 1.6246 2022/07/30 01:06:57 - mmengine - INFO - Epoch(train) [19][440/2505] lr: 5.0000e-04 eta: 1 day, 3:44:42 time: 0.8909 data_time: 0.2737 memory: 32703 grad_norm: 21.2134 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4505 loss: 1.4505 2022/07/30 01:07:18 - mmengine - INFO - Epoch(train) [19][460/2505] lr: 5.0000e-04 eta: 1 day, 3:44:25 time: 1.0792 data_time: 0.4309 memory: 32703 grad_norm: 20.2791 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3186 loss: 1.3186 2022/07/30 01:07:36 - mmengine - INFO - Epoch(train) [19][480/2505] lr: 5.0000e-04 eta: 1 day, 3:44:01 time: 0.8928 data_time: 0.3132 memory: 32703 grad_norm: 20.2513 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3324 loss: 1.3324 2022/07/30 01:07:57 - mmengine - INFO - Epoch(train) [19][500/2505] lr: 5.0000e-04 eta: 1 day, 3:43:42 time: 1.0423 data_time: 0.4216 memory: 32703 grad_norm: 20.2598 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7173 loss: 1.7173 2022/07/30 01:08:16 - mmengine - INFO - Epoch(train) [19][520/2505] lr: 5.0000e-04 eta: 1 day, 3:43:19 time: 0.9327 data_time: 0.3143 memory: 32703 grad_norm: 20.6907 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5750 loss: 1.5750 2022/07/30 01:08:38 - mmengine - INFO - Epoch(train) [19][540/2505] lr: 5.0000e-04 eta: 1 day, 3:43:03 time: 1.0897 data_time: 0.5060 memory: 32703 grad_norm: 21.2629 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4371 loss: 1.4371 2022/07/30 01:08:56 - mmengine - INFO - Epoch(train) [19][560/2505] lr: 5.0000e-04 eta: 1 day, 3:42:40 time: 0.9278 data_time: 0.2979 memory: 32703 grad_norm: 20.1384 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7571 loss: 1.7571 2022/07/30 01:09:17 - mmengine - INFO - Epoch(train) [19][580/2505] lr: 5.0000e-04 eta: 1 day, 3:42:21 time: 1.0380 data_time: 0.4303 memory: 32703 grad_norm: 20.5534 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7429 loss: 1.7429 2022/07/30 01:09:35 - mmengine - INFO - Epoch(train) [19][600/2505] lr: 5.0000e-04 eta: 1 day, 3:41:58 time: 0.9114 data_time: 0.2969 memory: 32703 grad_norm: 19.4377 top1_acc: 0.4167 top5_acc: 1.0000 loss_cls: 1.4483 loss: 1.4483 2022/07/30 01:09:58 - mmengine - INFO - Epoch(train) [19][620/2505] lr: 5.0000e-04 eta: 1 day, 3:41:44 time: 1.1546 data_time: 0.5432 memory: 32703 grad_norm: 20.5346 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4982 loss: 1.4982 2022/07/30 01:10:15 - mmengine - INFO - Epoch(train) [19][640/2505] lr: 5.0000e-04 eta: 1 day, 3:41:16 time: 0.8246 data_time: 0.2030 memory: 32703 grad_norm: 19.8296 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6234 loss: 1.6234 2022/07/30 01:10:35 - mmengine - INFO - Epoch(train) [19][660/2505] lr: 5.0000e-04 eta: 1 day, 3:40:57 time: 1.0141 data_time: 0.3863 memory: 32703 grad_norm: 19.9445 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7209 loss: 1.7209 2022/07/30 01:10:55 - mmengine - INFO - Epoch(train) [19][680/2505] lr: 5.0000e-04 eta: 1 day, 3:40:36 time: 0.9789 data_time: 0.3602 memory: 32703 grad_norm: 20.9574 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4797 loss: 1.4797 2022/07/30 01:11:14 - mmengine - INFO - Epoch(train) [19][700/2505] lr: 5.0000e-04 eta: 1 day, 3:40:14 time: 0.9561 data_time: 0.3067 memory: 32703 grad_norm: 19.9659 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3193 loss: 1.3193 2022/07/30 01:11:32 - mmengine - INFO - Epoch(train) [19][720/2505] lr: 5.0000e-04 eta: 1 day, 3:39:51 time: 0.9206 data_time: 0.2823 memory: 32703 grad_norm: 21.1623 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3551 loss: 1.3551 2022/07/30 01:11:54 - mmengine - INFO - Epoch(train) [19][740/2505] lr: 5.0000e-04 eta: 1 day, 3:39:35 time: 1.1021 data_time: 0.4813 memory: 32703 grad_norm: 20.4284 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4498 loss: 1.4498 2022/07/30 01:12:13 - mmengine - INFO - Epoch(train) [19][760/2505] lr: 5.0000e-04 eta: 1 day, 3:39:12 time: 0.9329 data_time: 0.3143 memory: 32703 grad_norm: 20.4645 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4784 loss: 1.4784 2022/07/30 01:12:34 - mmengine - INFO - Epoch(train) [19][780/2505] lr: 5.0000e-04 eta: 1 day, 3:38:54 time: 1.0564 data_time: 0.3682 memory: 32703 grad_norm: 20.4008 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5899 loss: 1.5899 2022/07/30 01:12:53 - mmengine - INFO - Epoch(train) [19][800/2505] lr: 5.0000e-04 eta: 1 day, 3:38:33 time: 0.9739 data_time: 0.0630 memory: 32703 grad_norm: 20.3726 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6485 loss: 1.6485 2022/07/30 01:13:13 - mmengine - INFO - Epoch(train) [19][820/2505] lr: 5.0000e-04 eta: 1 day, 3:38:11 time: 0.9605 data_time: 0.0279 memory: 32703 grad_norm: 20.5654 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5335 loss: 1.5335 2022/07/30 01:13:31 - mmengine - INFO - Epoch(train) [19][840/2505] lr: 5.0000e-04 eta: 1 day, 3:37:48 time: 0.9327 data_time: 0.0281 memory: 32703 grad_norm: 20.7745 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4290 loss: 1.4290 2022/07/30 01:13:51 - mmengine - INFO - Epoch(train) [19][860/2505] lr: 5.0000e-04 eta: 1 day, 3:37:27 time: 0.9761 data_time: 0.1685 memory: 32703 grad_norm: 20.6265 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5679 loss: 1.5679 2022/07/30 01:14:09 - mmengine - INFO - Epoch(train) [19][880/2505] lr: 5.0000e-04 eta: 1 day, 3:37:03 time: 0.8972 data_time: 0.1154 memory: 32703 grad_norm: 20.5867 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6343 loss: 1.6343 2022/07/30 01:14:30 - mmengine - INFO - Epoch(train) [19][900/2505] lr: 5.0000e-04 eta: 1 day, 3:36:46 time: 1.0840 data_time: 0.0698 memory: 32703 grad_norm: 21.4424 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4107 loss: 1.4107 2022/07/30 01:14:39 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 01:14:49 - mmengine - INFO - Epoch(train) [19][920/2505] lr: 5.0000e-04 eta: 1 day, 3:36:23 time: 0.9193 data_time: 0.0260 memory: 32703 grad_norm: 19.9957 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2957 loss: 1.2957 2022/07/30 01:15:11 - mmengine - INFO - Epoch(train) [19][940/2505] lr: 5.0000e-04 eta: 1 day, 3:36:07 time: 1.0895 data_time: 0.1174 memory: 32703 grad_norm: 20.6392 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5226 loss: 1.5226 2022/07/30 01:15:29 - mmengine - INFO - Epoch(train) [19][960/2505] lr: 5.0000e-04 eta: 1 day, 3:35:42 time: 0.9046 data_time: 0.0389 memory: 32703 grad_norm: 20.0746 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5062 loss: 1.5062 2022/07/30 01:15:50 - mmengine - INFO - Epoch(train) [19][980/2505] lr: 5.0000e-04 eta: 1 day, 3:35:26 time: 1.0767 data_time: 0.0860 memory: 32703 grad_norm: 20.1001 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6023 loss: 1.6023 2022/07/30 01:16:08 - mmengine - INFO - Epoch(train) [19][1000/2505] lr: 5.0000e-04 eta: 1 day, 3:35:01 time: 0.8855 data_time: 0.0261 memory: 32703 grad_norm: 20.9339 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3316 loss: 1.3316 2022/07/30 01:16:29 - mmengine - INFO - Epoch(train) [19][1020/2505] lr: 5.0000e-04 eta: 1 day, 3:34:43 time: 1.0513 data_time: 0.0272 memory: 32703 grad_norm: 20.9075 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6864 loss: 1.6864 2022/07/30 01:16:48 - mmengine - INFO - Epoch(train) [19][1040/2505] lr: 5.0000e-04 eta: 1 day, 3:34:21 time: 0.9687 data_time: 0.0270 memory: 32703 grad_norm: 19.7870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5825 loss: 1.5825 2022/07/30 01:17:09 - mmengine - INFO - Epoch(train) [19][1060/2505] lr: 5.0000e-04 eta: 1 day, 3:34:02 time: 1.0116 data_time: 0.1256 memory: 32703 grad_norm: 19.2600 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.2071 loss: 1.2071 2022/07/30 01:17:27 - mmengine - INFO - Epoch(train) [19][1080/2505] lr: 5.0000e-04 eta: 1 day, 3:33:37 time: 0.8999 data_time: 0.0974 memory: 32703 grad_norm: 20.2492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5354 loss: 1.5354 2022/07/30 01:17:48 - mmengine - INFO - Epoch(train) [19][1100/2505] lr: 5.0000e-04 eta: 1 day, 3:33:21 time: 1.0817 data_time: 0.2207 memory: 32703 grad_norm: 20.8201 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4391 loss: 1.4391 2022/07/30 01:18:07 - mmengine - INFO - Epoch(train) [19][1120/2505] lr: 5.0000e-04 eta: 1 day, 3:32:59 time: 0.9569 data_time: 0.2162 memory: 32703 grad_norm: 21.2952 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7103 loss: 1.7103 2022/07/30 01:18:29 - mmengine - INFO - Epoch(train) [19][1140/2505] lr: 5.0000e-04 eta: 1 day, 3:32:42 time: 1.0704 data_time: 0.2573 memory: 32703 grad_norm: 19.6988 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4103 loss: 1.4103 2022/07/30 01:18:47 - mmengine - INFO - Epoch(train) [19][1160/2505] lr: 5.0000e-04 eta: 1 day, 3:32:18 time: 0.9081 data_time: 0.1006 memory: 32703 grad_norm: 20.0049 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5071 loss: 1.5071 2022/07/30 01:19:09 - mmengine - INFO - Epoch(train) [19][1180/2505] lr: 5.0000e-04 eta: 1 day, 3:32:01 time: 1.0816 data_time: 0.1243 memory: 32703 grad_norm: 20.7856 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5361 loss: 1.5361 2022/07/30 01:19:27 - mmengine - INFO - Epoch(train) [19][1200/2505] lr: 5.0000e-04 eta: 1 day, 3:31:37 time: 0.8968 data_time: 0.0781 memory: 32703 grad_norm: 20.2389 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6000 loss: 1.6000 2022/07/30 01:19:48 - mmengine - INFO - Epoch(train) [19][1220/2505] lr: 5.0000e-04 eta: 1 day, 3:31:20 time: 1.0686 data_time: 0.1087 memory: 32703 grad_norm: 20.5762 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6221 loss: 1.6221 2022/07/30 01:20:06 - mmengine - INFO - Epoch(train) [19][1240/2505] lr: 5.0000e-04 eta: 1 day, 3:30:55 time: 0.9011 data_time: 0.0314 memory: 32703 grad_norm: 21.0540 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 1.4143 loss: 1.4143 2022/07/30 01:20:27 - mmengine - INFO - Epoch(train) [19][1260/2505] lr: 5.0000e-04 eta: 1 day, 3:30:37 time: 1.0433 data_time: 0.0727 memory: 32703 grad_norm: 20.5254 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3973 loss: 1.3973 2022/07/30 01:20:45 - mmengine - INFO - Epoch(train) [19][1280/2505] lr: 5.0000e-04 eta: 1 day, 3:30:14 time: 0.9151 data_time: 0.0888 memory: 32703 grad_norm: 21.3251 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7672 loss: 1.7672 2022/07/30 01:21:07 - mmengine - INFO - Epoch(train) [19][1300/2505] lr: 5.0000e-04 eta: 1 day, 3:29:57 time: 1.0782 data_time: 0.1036 memory: 32703 grad_norm: 19.4558 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.7399 loss: 1.7399 2022/07/30 01:21:25 - mmengine - INFO - Epoch(train) [19][1320/2505] lr: 5.0000e-04 eta: 1 day, 3:29:33 time: 0.9215 data_time: 0.0535 memory: 32703 grad_norm: 20.8514 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3447 loss: 1.3447 2022/07/30 01:21:46 - mmengine - INFO - Epoch(train) [19][1340/2505] lr: 5.0000e-04 eta: 1 day, 3:29:15 time: 1.0493 data_time: 0.0348 memory: 32703 grad_norm: 20.2367 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3143 loss: 1.3143 2022/07/30 01:22:04 - mmengine - INFO - Epoch(train) [19][1360/2505] lr: 5.0000e-04 eta: 1 day, 3:28:51 time: 0.8989 data_time: 0.0306 memory: 32703 grad_norm: 20.5881 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5893 loss: 1.5893 2022/07/30 01:22:25 - mmengine - INFO - Epoch(train) [19][1380/2505] lr: 5.0000e-04 eta: 1 day, 3:28:33 time: 1.0572 data_time: 0.0332 memory: 32703 grad_norm: 20.2661 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4780 loss: 1.4780 2022/07/30 01:22:44 - mmengine - INFO - Epoch(train) [19][1400/2505] lr: 5.0000e-04 eta: 1 day, 3:28:10 time: 0.9098 data_time: 0.0280 memory: 32703 grad_norm: 20.8010 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3225 loss: 1.3225 2022/07/30 01:23:04 - mmengine - INFO - Epoch(train) [19][1420/2505] lr: 5.0000e-04 eta: 1 day, 3:27:51 time: 1.0323 data_time: 0.0322 memory: 32703 grad_norm: 19.8927 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5285 loss: 1.5285 2022/07/30 01:23:22 - mmengine - INFO - Epoch(train) [19][1440/2505] lr: 5.0000e-04 eta: 1 day, 3:27:27 time: 0.9155 data_time: 0.0277 memory: 32703 grad_norm: 21.1501 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5502 loss: 1.5502 2022/07/30 01:23:45 - mmengine - INFO - Epoch(train) [19][1460/2505] lr: 5.0000e-04 eta: 1 day, 3:27:12 time: 1.1221 data_time: 0.0524 memory: 32703 grad_norm: 19.7947 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6718 loss: 1.6718 2022/07/30 01:24:03 - mmengine - INFO - Epoch(train) [19][1480/2505] lr: 5.0000e-04 eta: 1 day, 3:26:48 time: 0.9036 data_time: 0.0290 memory: 32703 grad_norm: 20.1530 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2898 loss: 1.2898 2022/07/30 01:24:25 - mmengine - INFO - Epoch(train) [19][1500/2505] lr: 5.0000e-04 eta: 1 day, 3:26:32 time: 1.1030 data_time: 0.0346 memory: 32703 grad_norm: 19.6200 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4097 loss: 1.4097 2022/07/30 01:24:42 - mmengine - INFO - Epoch(train) [19][1520/2505] lr: 5.0000e-04 eta: 1 day, 3:26:05 time: 0.8222 data_time: 0.0294 memory: 32703 grad_norm: 20.7315 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3371 loss: 1.3371 2022/07/30 01:25:03 - mmengine - INFO - Epoch(train) [19][1540/2505] lr: 5.0000e-04 eta: 1 day, 3:25:49 time: 1.0904 data_time: 0.0337 memory: 32703 grad_norm: 20.2416 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5289 loss: 1.5289 2022/07/30 01:25:21 - mmengine - INFO - Epoch(train) [19][1560/2505] lr: 5.0000e-04 eta: 1 day, 3:25:24 time: 0.8945 data_time: 0.0272 memory: 32703 grad_norm: 20.2694 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4993 loss: 1.4993 2022/07/30 01:25:42 - mmengine - INFO - Epoch(train) [19][1580/2505] lr: 5.0000e-04 eta: 1 day, 3:25:07 time: 1.0604 data_time: 0.0652 memory: 32703 grad_norm: 21.0488 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4843 loss: 1.4843 2022/07/30 01:26:00 - mmengine - INFO - Epoch(train) [19][1600/2505] lr: 5.0000e-04 eta: 1 day, 3:24:42 time: 0.9005 data_time: 0.0338 memory: 32703 grad_norm: 20.8803 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.7755 loss: 1.7755 2022/07/30 01:26:21 - mmengine - INFO - Epoch(train) [19][1620/2505] lr: 5.0000e-04 eta: 1 day, 3:24:24 time: 1.0291 data_time: 0.0274 memory: 32703 grad_norm: 20.9143 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2076 loss: 1.2076 2022/07/30 01:26:40 - mmengine - INFO - Epoch(train) [19][1640/2505] lr: 5.0000e-04 eta: 1 day, 3:24:00 time: 0.9283 data_time: 0.0277 memory: 32703 grad_norm: 20.3381 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6336 loss: 1.6336 2022/07/30 01:27:00 - mmengine - INFO - Epoch(train) [19][1660/2505] lr: 5.0000e-04 eta: 1 day, 3:23:42 time: 1.0430 data_time: 0.0269 memory: 32703 grad_norm: 19.8109 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2715 loss: 1.2715 2022/07/30 01:27:19 - mmengine - INFO - Epoch(train) [19][1680/2505] lr: 5.0000e-04 eta: 1 day, 3:23:19 time: 0.9234 data_time: 0.0298 memory: 32703 grad_norm: 20.5899 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4579 loss: 1.4579 2022/07/30 01:27:40 - mmengine - INFO - Epoch(train) [19][1700/2505] lr: 5.0000e-04 eta: 1 day, 3:23:01 time: 1.0455 data_time: 0.0285 memory: 32703 grad_norm: 20.2804 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7204 loss: 1.7204 2022/07/30 01:27:58 - mmengine - INFO - Epoch(train) [19][1720/2505] lr: 5.0000e-04 eta: 1 day, 3:22:37 time: 0.9079 data_time: 0.0269 memory: 32703 grad_norm: 19.6796 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.4969 loss: 1.4969 2022/07/30 01:28:19 - mmengine - INFO - Epoch(train) [19][1740/2505] lr: 5.0000e-04 eta: 1 day, 3:22:19 time: 1.0460 data_time: 0.0307 memory: 32703 grad_norm: 19.9640 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3612 loss: 1.3612 2022/07/30 01:28:38 - mmengine - INFO - Epoch(train) [19][1760/2505] lr: 5.0000e-04 eta: 1 day, 3:21:56 time: 0.9390 data_time: 0.0290 memory: 32703 grad_norm: 20.6284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5480 loss: 1.5480 2022/07/30 01:28:58 - mmengine - INFO - Epoch(train) [19][1780/2505] lr: 5.0000e-04 eta: 1 day, 3:21:37 time: 1.0229 data_time: 0.0271 memory: 32703 grad_norm: 20.2216 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4929 loss: 1.4929 2022/07/30 01:29:17 - mmengine - INFO - Epoch(train) [19][1800/2505] lr: 5.0000e-04 eta: 1 day, 3:21:15 time: 0.9458 data_time: 0.0263 memory: 32703 grad_norm: 20.2936 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5202 loss: 1.5202 2022/07/30 01:29:37 - mmengine - INFO - Epoch(train) [19][1820/2505] lr: 5.0000e-04 eta: 1 day, 3:20:56 time: 1.0212 data_time: 0.0265 memory: 32703 grad_norm: 19.8831 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5807 loss: 1.5807 2022/07/30 01:29:57 - mmengine - INFO - Epoch(train) [19][1840/2505] lr: 5.0000e-04 eta: 1 day, 3:20:34 time: 0.9576 data_time: 0.0268 memory: 32703 grad_norm: 20.2149 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.6029 loss: 1.6029 2022/07/30 01:30:17 - mmengine - INFO - Epoch(train) [19][1860/2505] lr: 5.0000e-04 eta: 1 day, 3:20:15 time: 1.0243 data_time: 0.0266 memory: 32703 grad_norm: 20.3280 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6426 loss: 1.6426 2022/07/30 01:30:38 - mmengine - INFO - Epoch(train) [19][1880/2505] lr: 5.0000e-04 eta: 1 day, 3:19:57 time: 1.0460 data_time: 0.0301 memory: 32703 grad_norm: 19.7087 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.7043 loss: 1.7043 2022/07/30 01:30:57 - mmengine - INFO - Epoch(train) [19][1900/2505] lr: 5.0000e-04 eta: 1 day, 3:19:34 time: 0.9499 data_time: 0.0262 memory: 32703 grad_norm: 21.2038 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5359 loss: 1.5359 2022/07/30 01:31:06 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 01:31:17 - mmengine - INFO - Epoch(train) [19][1920/2505] lr: 5.0000e-04 eta: 1 day, 3:19:13 time: 0.9754 data_time: 0.0284 memory: 32703 grad_norm: 20.1174 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3632 loss: 1.3632 2022/07/30 01:31:37 - mmengine - INFO - Epoch(train) [19][1940/2505] lr: 5.0000e-04 eta: 1 day, 3:18:54 time: 1.0237 data_time: 0.0272 memory: 32703 grad_norm: 20.6577 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4465 loss: 1.4465 2022/07/30 01:31:57 - mmengine - INFO - Epoch(train) [19][1960/2505] lr: 5.0000e-04 eta: 1 day, 3:18:34 time: 0.9849 data_time: 0.0295 memory: 32703 grad_norm: 20.0357 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5661 loss: 1.5661 2022/07/30 01:32:16 - mmengine - INFO - Epoch(train) [19][1980/2505] lr: 5.0000e-04 eta: 1 day, 3:18:13 time: 0.9761 data_time: 0.0285 memory: 32703 grad_norm: 20.0626 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3720 loss: 1.3720 2022/07/30 01:32:35 - mmengine - INFO - Epoch(train) [19][2000/2505] lr: 5.0000e-04 eta: 1 day, 3:17:50 time: 0.9376 data_time: 0.0289 memory: 32703 grad_norm: 20.7084 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5165 loss: 1.5165 2022/07/30 01:32:57 - mmengine - INFO - Epoch(train) [19][2020/2505] lr: 5.0000e-04 eta: 1 day, 3:17:33 time: 1.0761 data_time: 0.0294 memory: 32703 grad_norm: 20.1641 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6590 loss: 1.6590 2022/07/30 01:33:16 - mmengine - INFO - Epoch(train) [19][2040/2505] lr: 5.0000e-04 eta: 1 day, 3:17:11 time: 0.9512 data_time: 0.0313 memory: 32703 grad_norm: 19.9556 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5326 loss: 1.5326 2022/07/30 01:33:36 - mmengine - INFO - Epoch(train) [19][2060/2505] lr: 5.0000e-04 eta: 1 day, 3:16:51 time: 1.0072 data_time: 0.0305 memory: 32703 grad_norm: 20.0172 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5938 loss: 1.5938 2022/07/30 01:33:54 - mmengine - INFO - Epoch(train) [19][2080/2505] lr: 5.0000e-04 eta: 1 day, 3:16:28 time: 0.9290 data_time: 0.0273 memory: 32703 grad_norm: 19.9918 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5306 loss: 1.5306 2022/07/30 01:34:15 - mmengine - INFO - Epoch(train) [19][2100/2505] lr: 5.0000e-04 eta: 1 day, 3:16:10 time: 1.0398 data_time: 0.0279 memory: 32703 grad_norm: 19.6074 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3057 loss: 1.3057 2022/07/30 01:34:33 - mmengine - INFO - Epoch(train) [19][2120/2505] lr: 5.0000e-04 eta: 1 day, 3:15:45 time: 0.8771 data_time: 0.0317 memory: 32703 grad_norm: 21.7923 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6919 loss: 1.6919 2022/07/30 01:34:54 - mmengine - INFO - Epoch(train) [19][2140/2505] lr: 5.0000e-04 eta: 1 day, 3:15:27 time: 1.0501 data_time: 0.0285 memory: 32703 grad_norm: 19.4312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5425 loss: 1.5425 2022/07/30 01:35:13 - mmengine - INFO - Epoch(train) [19][2160/2505] lr: 5.0000e-04 eta: 1 day, 3:15:05 time: 0.9456 data_time: 0.0266 memory: 32703 grad_norm: 20.7155 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3798 loss: 1.3798 2022/07/30 01:35:33 - mmengine - INFO - Epoch(train) [19][2180/2505] lr: 5.0000e-04 eta: 1 day, 3:14:45 time: 1.0224 data_time: 0.0262 memory: 32703 grad_norm: 19.5332 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.1862 loss: 1.1862 2022/07/30 01:35:49 - mmengine - INFO - Epoch(train) [19][2200/2505] lr: 5.0000e-04 eta: 1 day, 3:14:18 time: 0.8209 data_time: 0.0308 memory: 32703 grad_norm: 20.3084 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5747 loss: 1.5747 2022/07/30 01:36:11 - mmengine - INFO - Epoch(train) [19][2220/2505] lr: 5.0000e-04 eta: 1 day, 3:14:00 time: 1.0613 data_time: 0.0261 memory: 32703 grad_norm: 20.5829 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5121 loss: 1.5121 2022/07/30 01:36:30 - mmengine - INFO - Epoch(train) [19][2240/2505] lr: 5.0000e-04 eta: 1 day, 3:13:39 time: 0.9633 data_time: 0.0280 memory: 32703 grad_norm: 20.7152 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5210 loss: 1.5210 2022/07/30 01:36:50 - mmengine - INFO - Epoch(train) [19][2260/2505] lr: 5.0000e-04 eta: 1 day, 3:13:19 time: 0.9982 data_time: 0.0301 memory: 32703 grad_norm: 20.0128 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5471 loss: 1.5471 2022/07/30 01:37:09 - mmengine - INFO - Epoch(train) [19][2280/2505] lr: 5.0000e-04 eta: 1 day, 3:12:57 time: 0.9564 data_time: 0.0322 memory: 32703 grad_norm: 20.8110 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5425 loss: 1.5425 2022/07/30 01:37:29 - mmengine - INFO - Epoch(train) [19][2300/2505] lr: 5.0000e-04 eta: 1 day, 3:12:36 time: 0.9797 data_time: 0.0304 memory: 32703 grad_norm: 19.3888 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5930 loss: 1.5930 2022/07/30 01:37:49 - mmengine - INFO - Epoch(train) [19][2320/2505] lr: 5.0000e-04 eta: 1 day, 3:12:17 time: 1.0197 data_time: 0.0426 memory: 32703 grad_norm: 20.9282 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4647 loss: 1.4647 2022/07/30 01:38:09 - mmengine - INFO - Epoch(train) [19][2340/2505] lr: 5.0000e-04 eta: 1 day, 3:11:57 time: 1.0058 data_time: 0.2142 memory: 32703 grad_norm: 20.3433 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3726 loss: 1.3726 2022/07/30 01:38:27 - mmengine - INFO - Epoch(train) [19][2360/2505] lr: 5.0000e-04 eta: 1 day, 3:11:33 time: 0.9053 data_time: 0.0854 memory: 32703 grad_norm: 20.1241 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4878 loss: 1.4878 2022/07/30 01:38:48 - mmengine - INFO - Epoch(train) [19][2380/2505] lr: 5.0000e-04 eta: 1 day, 3:11:15 time: 1.0466 data_time: 0.2316 memory: 32703 grad_norm: 20.3874 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4362 loss: 1.4362 2022/07/30 01:39:07 - mmengine - INFO - Epoch(train) [19][2400/2505] lr: 5.0000e-04 eta: 1 day, 3:10:51 time: 0.9141 data_time: 0.1594 memory: 32703 grad_norm: 20.2006 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2435 loss: 1.2435 2022/07/30 01:39:28 - mmengine - INFO - Epoch(train) [19][2420/2505] lr: 5.0000e-04 eta: 1 day, 3:10:34 time: 1.0597 data_time: 0.1139 memory: 32703 grad_norm: 21.1740 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4556 loss: 1.4556 2022/07/30 01:39:46 - mmengine - INFO - Epoch(train) [19][2440/2505] lr: 5.0000e-04 eta: 1 day, 3:10:11 time: 0.9301 data_time: 0.0374 memory: 32703 grad_norm: 20.5595 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2711 loss: 1.2711 2022/07/30 01:40:07 - mmengine - INFO - Epoch(train) [19][2460/2505] lr: 5.0000e-04 eta: 1 day, 3:09:53 time: 1.0523 data_time: 0.0318 memory: 32703 grad_norm: 20.5655 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3986 loss: 1.3986 2022/07/30 01:40:26 - mmengine - INFO - Epoch(train) [19][2480/2505] lr: 5.0000e-04 eta: 1 day, 3:09:31 time: 0.9395 data_time: 0.0270 memory: 32703 grad_norm: 20.7556 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5832 loss: 1.5832 2022/07/30 01:40:45 - mmengine - INFO - Epoch(train) [19][2500/2505] lr: 5.0000e-04 eta: 1 day, 3:09:08 time: 0.9438 data_time: 0.0337 memory: 32703 grad_norm: 19.9459 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4288 loss: 1.4288 2022/07/30 01:40:48 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 01:40:48 - mmengine - INFO - Epoch(train) [19][2505/2505] lr: 5.0000e-04 eta: 1 day, 3:09:08 time: 0.7986 data_time: 0.0209 memory: 32703 grad_norm: 20.4084 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.4557 loss: 1.4557 2022/07/30 01:41:15 - mmengine - INFO - Epoch(train) [20][20/2505] lr: 5.0000e-04 eta: 1 day, 3:08:47 time: 1.3332 data_time: 0.7442 memory: 32703 grad_norm: 19.9609 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5316 loss: 1.5316 2022/07/30 01:41:32 - mmengine - INFO - Epoch(train) [20][40/2505] lr: 5.0000e-04 eta: 1 day, 3:08:21 time: 0.8748 data_time: 0.2846 memory: 32703 grad_norm: 20.3538 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3367 loss: 1.3367 2022/07/30 01:41:55 - mmengine - INFO - Epoch(train) [20][60/2505] lr: 5.0000e-04 eta: 1 day, 3:08:08 time: 1.1568 data_time: 0.3687 memory: 32703 grad_norm: 19.8298 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3735 loss: 1.3735 2022/07/30 01:42:14 - mmengine - INFO - Epoch(train) [20][80/2505] lr: 5.0000e-04 eta: 1 day, 3:07:46 time: 0.9610 data_time: 0.0942 memory: 32703 grad_norm: 20.0891 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4756 loss: 1.4756 2022/07/30 01:42:36 - mmengine - INFO - Epoch(train) [20][100/2505] lr: 5.0000e-04 eta: 1 day, 3:07:30 time: 1.0903 data_time: 0.0898 memory: 32703 grad_norm: 20.9337 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4626 loss: 1.4626 2022/07/30 01:42:54 - mmengine - INFO - Epoch(train) [20][120/2505] lr: 5.0000e-04 eta: 1 day, 3:07:05 time: 0.8789 data_time: 0.0732 memory: 32703 grad_norm: 20.2286 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4000 loss: 1.4000 2022/07/30 01:43:16 - mmengine - INFO - Epoch(train) [20][140/2505] lr: 5.0000e-04 eta: 1 day, 3:06:49 time: 1.0915 data_time: 0.0673 memory: 32703 grad_norm: 20.4274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2607 loss: 1.2607 2022/07/30 01:43:34 - mmengine - INFO - Epoch(train) [20][160/2505] lr: 5.0000e-04 eta: 1 day, 3:06:25 time: 0.9059 data_time: 0.0370 memory: 32703 grad_norm: 21.7689 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.4263 loss: 1.4263 2022/07/30 01:43:56 - mmengine - INFO - Epoch(train) [20][180/2505] lr: 5.0000e-04 eta: 1 day, 3:06:09 time: 1.1087 data_time: 0.0271 memory: 32703 grad_norm: 21.0506 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5561 loss: 1.5561 2022/07/30 01:44:13 - mmengine - INFO - Epoch(train) [20][200/2505] lr: 5.0000e-04 eta: 1 day, 3:05:43 time: 0.8513 data_time: 0.0286 memory: 32703 grad_norm: 20.8450 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6549 loss: 1.6549 2022/07/30 01:44:34 - mmengine - INFO - Epoch(train) [20][220/2505] lr: 5.0000e-04 eta: 1 day, 3:05:25 time: 1.0503 data_time: 0.0300 memory: 32703 grad_norm: 20.3754 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4008 loss: 1.4008 2022/07/30 01:44:52 - mmengine - INFO - Epoch(train) [20][240/2505] lr: 5.0000e-04 eta: 1 day, 3:05:01 time: 0.8943 data_time: 0.0286 memory: 32703 grad_norm: 20.0164 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5323 loss: 1.5323 2022/07/30 01:45:14 - mmengine - INFO - Epoch(train) [20][260/2505] lr: 5.0000e-04 eta: 1 day, 3:04:45 time: 1.0970 data_time: 0.0462 memory: 32703 grad_norm: 19.8913 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2397 loss: 1.2397 2022/07/30 01:45:32 - mmengine - INFO - Epoch(train) [20][280/2505] lr: 5.0000e-04 eta: 1 day, 3:04:21 time: 0.9070 data_time: 0.0260 memory: 32703 grad_norm: 20.3446 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5658 loss: 1.5658 2022/07/30 01:45:54 - mmengine - INFO - Epoch(train) [20][300/2505] lr: 5.0000e-04 eta: 1 day, 3:04:06 time: 1.1216 data_time: 0.0302 memory: 32703 grad_norm: 19.8192 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4277 loss: 1.4277 2022/07/30 01:46:11 - mmengine - INFO - Epoch(train) [20][320/2505] lr: 5.0000e-04 eta: 1 day, 3:03:40 time: 0.8543 data_time: 0.0280 memory: 32703 grad_norm: 20.7210 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5328 loss: 1.5328 2022/07/30 01:46:33 - mmengine - INFO - Epoch(train) [20][340/2505] lr: 5.0000e-04 eta: 1 day, 3:03:23 time: 1.0934 data_time: 0.0267 memory: 32703 grad_norm: 19.0793 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6713 loss: 1.6713 2022/07/30 01:46:52 - mmengine - INFO - Epoch(train) [20][360/2505] lr: 5.0000e-04 eta: 1 day, 3:03:01 time: 0.9346 data_time: 0.0259 memory: 32703 grad_norm: 20.5393 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6511 loss: 1.6511 2022/07/30 01:47:12 - mmengine - INFO - Epoch(train) [20][380/2505] lr: 5.0000e-04 eta: 1 day, 3:02:40 time: 0.9829 data_time: 0.0287 memory: 32703 grad_norm: 21.1582 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4825 loss: 1.4825 2022/07/30 01:47:29 - mmengine - INFO - Epoch(train) [20][400/2505] lr: 5.0000e-04 eta: 1 day, 3:02:15 time: 0.8799 data_time: 0.0274 memory: 32703 grad_norm: 20.9168 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6030 loss: 1.6030 2022/07/30 01:47:36 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 01:47:53 - mmengine - INFO - Epoch(train) [20][420/2505] lr: 5.0000e-04 eta: 1 day, 3:02:02 time: 1.1679 data_time: 0.0615 memory: 32703 grad_norm: 19.7906 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0887 loss: 1.0887 2022/07/30 01:48:10 - mmengine - INFO - Epoch(train) [20][440/2505] lr: 5.0000e-04 eta: 1 day, 3:01:37 time: 0.8883 data_time: 0.0348 memory: 32703 grad_norm: 19.7337 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6779 loss: 1.6779 2022/07/30 01:48:31 - mmengine - INFO - Epoch(train) [20][460/2505] lr: 5.0000e-04 eta: 1 day, 3:01:19 time: 1.0368 data_time: 0.0261 memory: 32703 grad_norm: 19.3361 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7192 loss: 1.7192 2022/07/30 01:48:50 - mmengine - INFO - Epoch(train) [20][480/2505] lr: 5.0000e-04 eta: 1 day, 3:00:56 time: 0.9398 data_time: 0.0346 memory: 32703 grad_norm: 20.2006 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3856 loss: 1.3856 2022/07/30 01:49:11 - mmengine - INFO - Epoch(train) [20][500/2505] lr: 5.0000e-04 eta: 1 day, 3:00:39 time: 1.0707 data_time: 0.0286 memory: 32703 grad_norm: 19.9791 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5958 loss: 1.5958 2022/07/30 01:49:30 - mmengine - INFO - Epoch(train) [20][520/2505] lr: 5.0000e-04 eta: 1 day, 3:00:17 time: 0.9442 data_time: 0.0388 memory: 32703 grad_norm: 19.8053 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5180 loss: 1.5180 2022/07/30 01:49:51 - mmengine - INFO - Epoch(train) [20][540/2505] lr: 5.0000e-04 eta: 1 day, 2:59:58 time: 1.0187 data_time: 0.0348 memory: 32703 grad_norm: 20.2610 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4232 loss: 1.4232 2022/07/30 01:50:10 - mmengine - INFO - Epoch(train) [20][560/2505] lr: 5.0000e-04 eta: 1 day, 2:59:35 time: 0.9410 data_time: 0.0276 memory: 32703 grad_norm: 20.3181 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2106 loss: 1.2106 2022/07/30 01:50:31 - mmengine - INFO - Epoch(train) [20][580/2505] lr: 5.0000e-04 eta: 1 day, 2:59:19 time: 1.0864 data_time: 0.0309 memory: 32703 grad_norm: 20.8676 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1022 loss: 1.1022 2022/07/30 01:50:50 - mmengine - INFO - Epoch(train) [20][600/2505] lr: 5.0000e-04 eta: 1 day, 2:58:56 time: 0.9239 data_time: 0.0352 memory: 32703 grad_norm: 19.8919 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5556 loss: 1.5556 2022/07/30 01:51:10 - mmengine - INFO - Epoch(train) [20][620/2505] lr: 5.0000e-04 eta: 1 day, 2:58:37 time: 1.0388 data_time: 0.0324 memory: 32703 grad_norm: 19.3575 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6285 loss: 1.6285 2022/07/30 01:51:28 - mmengine - INFO - Epoch(train) [20][640/2505] lr: 5.0000e-04 eta: 1 day, 2:58:13 time: 0.8862 data_time: 0.0270 memory: 32703 grad_norm: 19.8004 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4341 loss: 1.4341 2022/07/30 01:51:51 - mmengine - INFO - Epoch(train) [20][660/2505] lr: 5.0000e-04 eta: 1 day, 2:57:58 time: 1.1245 data_time: 0.0295 memory: 32703 grad_norm: 20.7540 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3422 loss: 1.3422 2022/07/30 01:52:09 - mmengine - INFO - Epoch(train) [20][680/2505] lr: 5.0000e-04 eta: 1 day, 2:57:35 time: 0.9329 data_time: 0.0296 memory: 32703 grad_norm: 20.3611 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4934 loss: 1.4934 2022/07/30 01:52:29 - mmengine - INFO - Epoch(train) [20][700/2505] lr: 5.0000e-04 eta: 1 day, 2:57:15 time: 0.9936 data_time: 0.0294 memory: 32703 grad_norm: 20.9799 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6049 loss: 1.6049 2022/07/30 01:52:47 - mmengine - INFO - Epoch(train) [20][720/2505] lr: 5.0000e-04 eta: 1 day, 2:56:50 time: 0.8976 data_time: 0.0275 memory: 32703 grad_norm: 21.1695 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5115 loss: 1.5115 2022/07/30 01:53:08 - mmengine - INFO - Epoch(train) [20][740/2505] lr: 5.0000e-04 eta: 1 day, 2:56:31 time: 1.0235 data_time: 0.0252 memory: 32703 grad_norm: 21.2231 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3885 loss: 1.3885 2022/07/30 01:53:27 - mmengine - INFO - Epoch(train) [20][760/2505] lr: 5.0000e-04 eta: 1 day, 2:56:10 time: 0.9589 data_time: 0.0269 memory: 32703 grad_norm: 20.0705 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6662 loss: 1.6662 2022/07/30 01:53:47 - mmengine - INFO - Epoch(train) [20][780/2505] lr: 5.0000e-04 eta: 1 day, 2:55:51 time: 1.0220 data_time: 0.0272 memory: 32703 grad_norm: 20.8165 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2871 loss: 1.2871 2022/07/30 01:54:05 - mmengine - INFO - Epoch(train) [20][800/2505] lr: 5.0000e-04 eta: 1 day, 2:55:27 time: 0.9072 data_time: 0.0352 memory: 32703 grad_norm: 19.5577 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2214 loss: 1.2214 2022/07/30 01:54:25 - mmengine - INFO - Epoch(train) [20][820/2505] lr: 5.0000e-04 eta: 1 day, 2:55:06 time: 0.9831 data_time: 0.0297 memory: 32703 grad_norm: 20.6995 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4088 loss: 1.4088 2022/07/30 01:54:46 - mmengine - INFO - Epoch(train) [20][840/2505] lr: 5.0000e-04 eta: 1 day, 2:54:48 time: 1.0548 data_time: 0.1110 memory: 32703 grad_norm: 19.3671 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3910 loss: 1.3910 2022/07/30 01:55:08 - mmengine - INFO - Epoch(train) [20][860/2505] lr: 5.0000e-04 eta: 1 day, 2:54:33 time: 1.1164 data_time: 0.0255 memory: 32703 grad_norm: 19.7705 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4327 loss: 1.4327 2022/07/30 01:55:25 - mmengine - INFO - Epoch(train) [20][880/2505] lr: 5.0000e-04 eta: 1 day, 2:54:07 time: 0.8443 data_time: 0.0380 memory: 32703 grad_norm: 21.3394 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3799 loss: 1.3799 2022/07/30 01:55:46 - mmengine - INFO - Epoch(train) [20][900/2505] lr: 5.0000e-04 eta: 1 day, 2:53:48 time: 1.0289 data_time: 0.0272 memory: 32703 grad_norm: 19.8206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7303 loss: 1.7303 2022/07/30 01:56:04 - mmengine - INFO - Epoch(train) [20][920/2505] lr: 5.0000e-04 eta: 1 day, 2:53:24 time: 0.9011 data_time: 0.0345 memory: 32703 grad_norm: 19.9731 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.4857 loss: 1.4857 2022/07/30 01:56:24 - mmengine - INFO - Epoch(train) [20][940/2505] lr: 5.0000e-04 eta: 1 day, 2:53:04 time: 0.9968 data_time: 0.1023 memory: 32703 grad_norm: 19.8448 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6068 loss: 1.6068 2022/07/30 01:56:42 - mmengine - INFO - Epoch(train) [20][960/2505] lr: 5.0000e-04 eta: 1 day, 2:52:41 time: 0.9300 data_time: 0.1429 memory: 32703 grad_norm: 20.1928 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.7303 loss: 1.7303 2022/07/30 01:57:03 - mmengine - INFO - Epoch(train) [20][980/2505] lr: 5.0000e-04 eta: 1 day, 2:52:23 time: 1.0491 data_time: 0.0481 memory: 32703 grad_norm: 19.8462 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4484 loss: 1.4484 2022/07/30 01:57:22 - mmengine - INFO - Epoch(train) [20][1000/2505] lr: 5.0000e-04 eta: 1 day, 2:52:00 time: 0.9194 data_time: 0.0631 memory: 32703 grad_norm: 20.0106 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4149 loss: 1.4149 2022/07/30 01:57:42 - mmengine - INFO - Epoch(train) [20][1020/2505] lr: 5.0000e-04 eta: 1 day, 2:51:41 time: 1.0239 data_time: 0.0354 memory: 32703 grad_norm: 20.5704 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6223 loss: 1.6223 2022/07/30 01:58:02 - mmengine - INFO - Epoch(train) [20][1040/2505] lr: 5.0000e-04 eta: 1 day, 2:51:19 time: 0.9579 data_time: 0.1050 memory: 32703 grad_norm: 20.3572 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4064 loss: 1.4064 2022/07/30 01:58:22 - mmengine - INFO - Epoch(train) [20][1060/2505] lr: 5.0000e-04 eta: 1 day, 2:51:00 time: 1.0243 data_time: 0.0838 memory: 32703 grad_norm: 20.4055 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5027 loss: 1.5027 2022/07/30 01:58:41 - mmengine - INFO - Epoch(train) [20][1080/2505] lr: 5.0000e-04 eta: 1 day, 2:50:37 time: 0.9342 data_time: 0.0319 memory: 32703 grad_norm: 20.1579 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.3934 loss: 1.3934 2022/07/30 01:59:02 - mmengine - INFO - Epoch(train) [20][1100/2505] lr: 5.0000e-04 eta: 1 day, 2:50:20 time: 1.0717 data_time: 0.0292 memory: 32703 grad_norm: 19.6520 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4191 loss: 1.4191 2022/07/30 01:59:21 - mmengine - INFO - Epoch(train) [20][1120/2505] lr: 5.0000e-04 eta: 1 day, 2:49:57 time: 0.9275 data_time: 0.0283 memory: 32703 grad_norm: 19.6678 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6681 loss: 1.6681 2022/07/30 01:59:41 - mmengine - INFO - Epoch(train) [20][1140/2505] lr: 5.0000e-04 eta: 1 day, 2:49:38 time: 1.0353 data_time: 0.0293 memory: 32703 grad_norm: 19.8325 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5323 loss: 1.5323 2022/07/30 02:00:00 - mmengine - INFO - Epoch(train) [20][1160/2505] lr: 5.0000e-04 eta: 1 day, 2:49:16 time: 0.9297 data_time: 0.0279 memory: 32703 grad_norm: 20.1061 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4069 loss: 1.4069 2022/07/30 02:00:22 - mmengine - INFO - Epoch(train) [20][1180/2505] lr: 5.0000e-04 eta: 1 day, 2:49:00 time: 1.1078 data_time: 0.0270 memory: 32703 grad_norm: 20.3951 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4934 loss: 1.4934 2022/07/30 02:00:40 - mmengine - INFO - Epoch(train) [20][1200/2505] lr: 5.0000e-04 eta: 1 day, 2:48:35 time: 0.8842 data_time: 0.0301 memory: 32703 grad_norm: 21.1836 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.7500 loss: 1.7500 2022/07/30 02:01:02 - mmengine - INFO - Epoch(train) [20][1220/2505] lr: 5.0000e-04 eta: 1 day, 2:48:19 time: 1.0914 data_time: 0.0307 memory: 32703 grad_norm: 19.9294 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4569 loss: 1.4569 2022/07/30 02:01:20 - mmengine - INFO - Epoch(train) [20][1240/2505] lr: 5.0000e-04 eta: 1 day, 2:47:56 time: 0.9253 data_time: 0.0301 memory: 32703 grad_norm: 19.6037 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3753 loss: 1.3753 2022/07/30 02:01:41 - mmengine - INFO - Epoch(train) [20][1260/2505] lr: 5.0000e-04 eta: 1 day, 2:47:37 time: 1.0261 data_time: 0.0277 memory: 32703 grad_norm: 19.5364 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4694 loss: 1.4694 2022/07/30 02:02:00 - mmengine - INFO - Epoch(train) [20][1280/2505] lr: 5.0000e-04 eta: 1 day, 2:47:16 time: 0.9651 data_time: 0.0274 memory: 32703 grad_norm: 20.3812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3915 loss: 1.3915 2022/07/30 02:02:20 - mmengine - INFO - Epoch(train) [20][1300/2505] lr: 5.0000e-04 eta: 1 day, 2:46:55 time: 0.9943 data_time: 0.0277 memory: 32703 grad_norm: 20.7807 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4102 loss: 1.4102 2022/07/30 02:02:40 - mmengine - INFO - Epoch(train) [20][1320/2505] lr: 5.0000e-04 eta: 1 day, 2:46:35 time: 0.9840 data_time: 0.0288 memory: 32703 grad_norm: 20.6439 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4234 loss: 1.4234 2022/07/30 02:02:59 - mmengine - INFO - Epoch(train) [20][1340/2505] lr: 5.0000e-04 eta: 1 day, 2:46:14 time: 0.9807 data_time: 0.0274 memory: 32703 grad_norm: 20.9575 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3810 loss: 1.3810 2022/07/30 02:03:18 - mmengine - INFO - Epoch(train) [20][1360/2505] lr: 5.0000e-04 eta: 1 day, 2:45:51 time: 0.9292 data_time: 0.0309 memory: 32703 grad_norm: 21.2810 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.7729 loss: 1.7729 2022/07/30 02:03:37 - mmengine - INFO - Epoch(train) [20][1380/2505] lr: 5.0000e-04 eta: 1 day, 2:45:30 time: 0.9755 data_time: 0.0302 memory: 32703 grad_norm: 20.8657 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3619 loss: 1.3619 2022/07/30 02:03:55 - mmengine - INFO - Epoch(train) [20][1400/2505] lr: 5.0000e-04 eta: 1 day, 2:45:06 time: 0.9026 data_time: 0.0276 memory: 32703 grad_norm: 20.6713 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3474 loss: 1.3474 2022/07/30 02:04:01 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 02:04:16 - mmengine - INFO - Epoch(train) [20][1420/2505] lr: 5.0000e-04 eta: 1 day, 2:44:48 time: 1.0343 data_time: 0.0260 memory: 32703 grad_norm: 20.2603 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4647 loss: 1.4647 2022/07/30 02:04:34 - mmengine - INFO - Epoch(train) [20][1440/2505] lr: 5.0000e-04 eta: 1 day, 2:44:24 time: 0.9137 data_time: 0.0279 memory: 32703 grad_norm: 19.8448 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4717 loss: 1.4717 2022/07/30 02:04:55 - mmengine - INFO - Epoch(train) [20][1460/2505] lr: 5.0000e-04 eta: 1 day, 2:44:05 time: 1.0197 data_time: 0.0630 memory: 32703 grad_norm: 20.1780 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5026 loss: 1.5026 2022/07/30 02:05:14 - mmengine - INFO - Epoch(train) [20][1480/2505] lr: 5.0000e-04 eta: 1 day, 2:43:43 time: 0.9462 data_time: 0.0813 memory: 32703 grad_norm: 19.8888 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3273 loss: 1.3273 2022/07/30 02:05:35 - mmengine - INFO - Epoch(train) [20][1500/2505] lr: 5.0000e-04 eta: 1 day, 2:43:26 time: 1.0845 data_time: 0.0837 memory: 32703 grad_norm: 19.6377 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6082 loss: 1.6082 2022/07/30 02:05:54 - mmengine - INFO - Epoch(train) [20][1520/2505] lr: 5.0000e-04 eta: 1 day, 2:43:03 time: 0.9279 data_time: 0.1124 memory: 32703 grad_norm: 20.6778 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1872 loss: 1.1872 2022/07/30 02:06:15 - mmengine - INFO - Epoch(train) [20][1540/2505] lr: 5.0000e-04 eta: 1 day, 2:42:46 time: 1.0783 data_time: 0.0774 memory: 32703 grad_norm: 19.8812 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5419 loss: 1.5419 2022/07/30 02:06:34 - mmengine - INFO - Epoch(train) [20][1560/2505] lr: 5.0000e-04 eta: 1 day, 2:42:23 time: 0.9058 data_time: 0.0282 memory: 32703 grad_norm: 20.3031 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5726 loss: 1.5726 2022/07/30 02:06:56 - mmengine - INFO - Epoch(train) [20][1580/2505] lr: 5.0000e-04 eta: 1 day, 2:42:07 time: 1.1057 data_time: 0.0274 memory: 32703 grad_norm: 19.8075 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4670 loss: 1.4670 2022/07/30 02:07:13 - mmengine - INFO - Epoch(train) [20][1600/2505] lr: 5.0000e-04 eta: 1 day, 2:41:42 time: 0.8861 data_time: 0.0277 memory: 32703 grad_norm: 21.1148 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3831 loss: 1.3831 2022/07/30 02:07:35 - mmengine - INFO - Epoch(train) [20][1620/2505] lr: 5.0000e-04 eta: 1 day, 2:41:25 time: 1.0620 data_time: 0.0254 memory: 32703 grad_norm: 19.5549 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5477 loss: 1.5477 2022/07/30 02:07:53 - mmengine - INFO - Epoch(train) [20][1640/2505] lr: 5.0000e-04 eta: 1 day, 2:41:01 time: 0.8951 data_time: 0.0277 memory: 32703 grad_norm: 20.5490 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3985 loss: 1.3985 2022/07/30 02:08:14 - mmengine - INFO - Epoch(train) [20][1660/2505] lr: 5.0000e-04 eta: 1 day, 2:40:42 time: 1.0431 data_time: 0.0276 memory: 32703 grad_norm: 21.6316 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4166 loss: 1.4166 2022/07/30 02:08:32 - mmengine - INFO - Epoch(train) [20][1680/2505] lr: 5.0000e-04 eta: 1 day, 2:40:19 time: 0.9245 data_time: 0.0324 memory: 32703 grad_norm: 20.3066 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2502 loss: 1.2502 2022/07/30 02:08:53 - mmengine - INFO - Epoch(train) [20][1700/2505] lr: 5.0000e-04 eta: 1 day, 2:40:02 time: 1.0669 data_time: 0.0306 memory: 32703 grad_norm: 20.7299 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5068 loss: 1.5068 2022/07/30 02:09:11 - mmengine - INFO - Epoch(train) [20][1720/2505] lr: 5.0000e-04 eta: 1 day, 2:39:38 time: 0.9074 data_time: 0.0340 memory: 32703 grad_norm: 20.3273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3939 loss: 1.3939 2022/07/30 02:09:32 - mmengine - INFO - Epoch(train) [20][1740/2505] lr: 5.0000e-04 eta: 1 day, 2:39:20 time: 1.0299 data_time: 0.0301 memory: 32703 grad_norm: 19.5790 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4875 loss: 1.4875 2022/07/30 02:09:51 - mmengine - INFO - Epoch(train) [20][1760/2505] lr: 5.0000e-04 eta: 1 day, 2:38:58 time: 0.9467 data_time: 0.0360 memory: 32703 grad_norm: 19.7157 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4203 loss: 1.4203 2022/07/30 02:10:12 - mmengine - INFO - Epoch(train) [20][1780/2505] lr: 5.0000e-04 eta: 1 day, 2:38:40 time: 1.0604 data_time: 0.0290 memory: 32703 grad_norm: 21.2327 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4332 loss: 1.4332 2022/07/30 02:10:31 - mmengine - INFO - Epoch(train) [20][1800/2505] lr: 5.0000e-04 eta: 1 day, 2:38:17 time: 0.9336 data_time: 0.0437 memory: 32703 grad_norm: 19.8535 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3994 loss: 1.3994 2022/07/30 02:10:52 - mmengine - INFO - Epoch(train) [20][1820/2505] lr: 5.0000e-04 eta: 1 day, 2:37:59 time: 1.0445 data_time: 0.0290 memory: 32703 grad_norm: 21.4827 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5410 loss: 1.5410 2022/07/30 02:11:09 - mmengine - INFO - Epoch(train) [20][1840/2505] lr: 5.0000e-04 eta: 1 day, 2:37:33 time: 0.8444 data_time: 0.0302 memory: 32703 grad_norm: 19.5439 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3743 loss: 1.3743 2022/07/30 02:11:30 - mmengine - INFO - Epoch(train) [20][1860/2505] lr: 5.0000e-04 eta: 1 day, 2:37:15 time: 1.0631 data_time: 0.0289 memory: 32703 grad_norm: 20.3610 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7222 loss: 1.7222 2022/07/30 02:11:48 - mmengine - INFO - Epoch(train) [20][1880/2505] lr: 5.0000e-04 eta: 1 day, 2:36:52 time: 0.9171 data_time: 0.0278 memory: 32703 grad_norm: 20.9357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4503 loss: 1.4503 2022/07/30 02:12:09 - mmengine - INFO - Epoch(train) [20][1900/2505] lr: 5.0000e-04 eta: 1 day, 2:36:34 time: 1.0499 data_time: 0.0332 memory: 32703 grad_norm: 19.5828 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5939 loss: 1.5939 2022/07/30 02:12:28 - mmengine - INFO - Epoch(train) [20][1920/2505] lr: 5.0000e-04 eta: 1 day, 2:36:11 time: 0.9152 data_time: 0.0320 memory: 32703 grad_norm: 20.3226 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4460 loss: 1.4460 2022/07/30 02:12:48 - mmengine - INFO - Epoch(train) [20][1940/2505] lr: 5.0000e-04 eta: 1 day, 2:35:52 time: 1.0209 data_time: 0.0338 memory: 32703 grad_norm: 19.6781 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4691 loss: 1.4691 2022/07/30 02:13:06 - mmengine - INFO - Epoch(train) [20][1960/2505] lr: 5.0000e-04 eta: 1 day, 2:35:28 time: 0.9063 data_time: 0.0281 memory: 32703 grad_norm: 20.2711 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6727 loss: 1.6727 2022/07/30 02:13:27 - mmengine - INFO - Epoch(train) [20][1980/2505] lr: 5.0000e-04 eta: 1 day, 2:35:09 time: 1.0248 data_time: 0.0307 memory: 32703 grad_norm: 20.3521 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2921 loss: 1.2921 2022/07/30 02:13:45 - mmengine - INFO - Epoch(train) [20][2000/2505] lr: 5.0000e-04 eta: 1 day, 2:34:46 time: 0.9197 data_time: 0.0275 memory: 32703 grad_norm: 21.4989 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4407 loss: 1.4407 2022/07/30 02:14:08 - mmengine - INFO - Epoch(train) [20][2020/2505] lr: 5.0000e-04 eta: 1 day, 2:34:31 time: 1.1232 data_time: 0.0303 memory: 32703 grad_norm: 20.6693 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5094 loss: 1.5094 2022/07/30 02:14:26 - mmengine - INFO - Epoch(train) [20][2040/2505] lr: 5.0000e-04 eta: 1 day, 2:34:07 time: 0.9042 data_time: 0.0334 memory: 32703 grad_norm: 20.7613 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4661 loss: 1.4661 2022/07/30 02:14:47 - mmengine - INFO - Epoch(train) [20][2060/2505] lr: 5.0000e-04 eta: 1 day, 2:33:50 time: 1.0749 data_time: 0.0311 memory: 32703 grad_norm: 19.8008 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5746 loss: 1.5746 2022/07/30 02:15:05 - mmengine - INFO - Epoch(train) [20][2080/2505] lr: 5.0000e-04 eta: 1 day, 2:33:26 time: 0.9018 data_time: 0.0328 memory: 32703 grad_norm: 20.3151 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4343 loss: 1.4343 2022/07/30 02:15:27 - mmengine - INFO - Epoch(train) [20][2100/2505] lr: 5.0000e-04 eta: 1 day, 2:33:10 time: 1.0976 data_time: 0.0270 memory: 32703 grad_norm: 20.5303 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5528 loss: 1.5528 2022/07/30 02:15:45 - mmengine - INFO - Epoch(train) [20][2120/2505] lr: 5.0000e-04 eta: 1 day, 2:32:46 time: 0.9116 data_time: 0.0354 memory: 32703 grad_norm: 19.8884 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3348 loss: 1.3348 2022/07/30 02:16:06 - mmengine - INFO - Epoch(train) [20][2140/2505] lr: 5.0000e-04 eta: 1 day, 2:32:28 time: 1.0475 data_time: 0.0327 memory: 32703 grad_norm: 20.1533 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5161 loss: 1.5161 2022/07/30 02:16:25 - mmengine - INFO - Epoch(train) [20][2160/2505] lr: 5.0000e-04 eta: 1 day, 2:32:05 time: 0.9122 data_time: 0.0353 memory: 32703 grad_norm: 20.2725 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3271 loss: 1.3271 2022/07/30 02:16:45 - mmengine - INFO - Epoch(train) [20][2180/2505] lr: 5.0000e-04 eta: 1 day, 2:31:46 time: 1.0171 data_time: 0.0251 memory: 32703 grad_norm: 20.7197 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7132 loss: 1.7132 2022/07/30 02:17:03 - mmengine - INFO - Epoch(train) [20][2200/2505] lr: 5.0000e-04 eta: 1 day, 2:31:22 time: 0.9165 data_time: 0.0284 memory: 32703 grad_norm: 20.6884 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.1475 loss: 1.1475 2022/07/30 02:17:23 - mmengine - INFO - Epoch(train) [20][2220/2505] lr: 5.0000e-04 eta: 1 day, 2:31:02 time: 1.0010 data_time: 0.0283 memory: 32703 grad_norm: 19.4895 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4418 loss: 1.4418 2022/07/30 02:17:43 - mmengine - INFO - Epoch(train) [20][2240/2505] lr: 5.0000e-04 eta: 1 day, 2:30:41 time: 0.9702 data_time: 0.0295 memory: 32703 grad_norm: 20.3509 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5475 loss: 1.5475 2022/07/30 02:18:02 - mmengine - INFO - Epoch(train) [20][2260/2505] lr: 5.0000e-04 eta: 1 day, 2:30:21 time: 0.9781 data_time: 0.0306 memory: 32703 grad_norm: 20.3763 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.4427 loss: 1.4427 2022/07/30 02:18:21 - mmengine - INFO - Epoch(train) [20][2280/2505] lr: 5.0000e-04 eta: 1 day, 2:29:59 time: 0.9576 data_time: 0.0288 memory: 32703 grad_norm: 19.8648 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5630 loss: 1.5630 2022/07/30 02:18:41 - mmengine - INFO - Epoch(train) [20][2300/2505] lr: 5.0000e-04 eta: 1 day, 2:29:39 time: 1.0013 data_time: 0.0272 memory: 32703 grad_norm: 20.2800 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7628 loss: 1.7628 2022/07/30 02:19:01 - mmengine - INFO - Epoch(train) [20][2320/2505] lr: 5.0000e-04 eta: 1 day, 2:29:18 time: 0.9646 data_time: 0.0296 memory: 32703 grad_norm: 19.4786 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5188 loss: 1.5188 2022/07/30 02:19:21 - mmengine - INFO - Epoch(train) [20][2340/2505] lr: 5.0000e-04 eta: 1 day, 2:28:59 time: 1.0385 data_time: 0.0304 memory: 32703 grad_norm: 20.0818 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4335 loss: 1.4335 2022/07/30 02:19:41 - mmengine - INFO - Epoch(train) [20][2360/2505] lr: 5.0000e-04 eta: 1 day, 2:28:38 time: 0.9689 data_time: 0.0296 memory: 32703 grad_norm: 19.6084 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6960 loss: 1.6960 2022/07/30 02:20:01 - mmengine - INFO - Epoch(train) [20][2380/2505] lr: 5.0000e-04 eta: 1 day, 2:28:18 time: 1.0036 data_time: 0.0296 memory: 32703 grad_norm: 19.3300 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5683 loss: 1.5683 2022/07/30 02:20:20 - mmengine - INFO - Epoch(train) [20][2400/2505] lr: 5.0000e-04 eta: 1 day, 2:27:57 time: 0.9754 data_time: 0.0311 memory: 32703 grad_norm: 19.8831 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4496 loss: 1.4496 2022/07/30 02:20:25 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 02:20:41 - mmengine - INFO - Epoch(train) [20][2420/2505] lr: 5.0000e-04 eta: 1 day, 2:27:38 time: 1.0169 data_time: 0.0267 memory: 32703 grad_norm: 19.4390 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3739 loss: 1.3739 2022/07/30 02:21:00 - mmengine - INFO - Epoch(train) [20][2440/2505] lr: 5.0000e-04 eta: 1 day, 2:27:16 time: 0.9506 data_time: 0.0263 memory: 32703 grad_norm: 20.9335 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.8365 loss: 1.8365 2022/07/30 02:21:20 - mmengine - INFO - Epoch(train) [20][2460/2505] lr: 5.0000e-04 eta: 1 day, 2:26:56 time: 0.9954 data_time: 0.0272 memory: 32703 grad_norm: 20.6553 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2748 loss: 1.2748 2022/07/30 02:21:39 - mmengine - INFO - Epoch(train) [20][2480/2505] lr: 5.0000e-04 eta: 1 day, 2:26:34 time: 0.9554 data_time: 0.0300 memory: 32703 grad_norm: 20.7255 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7361 loss: 1.7361 2022/07/30 02:21:58 - mmengine - INFO - Epoch(train) [20][2500/2505] lr: 5.0000e-04 eta: 1 day, 2:26:12 time: 0.9483 data_time: 0.0282 memory: 32703 grad_norm: 21.3011 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3420 loss: 1.3420 2022/07/30 02:22:01 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 02:22:01 - mmengine - INFO - Epoch(train) [20][2505/2505] lr: 5.0000e-04 eta: 1 day, 2:26:12 time: 0.8026 data_time: 0.0210 memory: 32703 grad_norm: 21.5963 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4982 loss: 1.4982 2022/07/30 02:22:01 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/07/30 02:22:28 - mmengine - INFO - Epoch(train) [21][20/2505] lr: 5.0000e-04 eta: 1 day, 2:25:49 time: 1.2893 data_time: 0.7045 memory: 32703 grad_norm: 19.7109 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.3581 loss: 1.3581 2022/07/30 02:22:47 - mmengine - INFO - Epoch(train) [21][40/2505] lr: 5.0000e-04 eta: 1 day, 2:25:26 time: 0.9297 data_time: 0.2884 memory: 32703 grad_norm: 19.2355 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4984 loss: 1.4984 2022/07/30 02:23:08 - mmengine - INFO - Epoch(train) [21][60/2505] lr: 5.0000e-04 eta: 1 day, 2:25:09 time: 1.0771 data_time: 0.5044 memory: 32703 grad_norm: 20.1089 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3074 loss: 1.3074 2022/07/30 02:23:26 - mmengine - INFO - Epoch(train) [21][80/2505] lr: 5.0000e-04 eta: 1 day, 2:24:45 time: 0.9030 data_time: 0.3230 memory: 32703 grad_norm: 20.2300 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5105 loss: 1.5105 2022/07/30 02:23:47 - mmengine - INFO - Epoch(train) [21][100/2505] lr: 5.0000e-04 eta: 1 day, 2:24:27 time: 1.0487 data_time: 0.4689 memory: 32703 grad_norm: 19.1164 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.2489 loss: 1.2489 2022/07/30 02:24:06 - mmengine - INFO - Epoch(train) [21][120/2505] lr: 5.0000e-04 eta: 1 day, 2:24:05 time: 0.9311 data_time: 0.3475 memory: 32703 grad_norm: 20.4601 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6354 loss: 1.6354 2022/07/30 02:24:27 - mmengine - INFO - Epoch(train) [21][140/2505] lr: 5.0000e-04 eta: 1 day, 2:23:47 time: 1.0560 data_time: 0.4454 memory: 32703 grad_norm: 19.4338 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3559 loss: 1.3559 2022/07/30 02:24:46 - mmengine - INFO - Epoch(train) [21][160/2505] lr: 5.0000e-04 eta: 1 day, 2:23:24 time: 0.9282 data_time: 0.3472 memory: 32703 grad_norm: 19.9057 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1104 loss: 1.1104 2022/07/30 02:25:08 - mmengine - INFO - Epoch(train) [21][180/2505] lr: 5.0000e-04 eta: 1 day, 2:23:08 time: 1.1023 data_time: 0.4933 memory: 32703 grad_norm: 20.3232 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4772 loss: 1.4772 2022/07/30 02:25:25 - mmengine - INFO - Epoch(train) [21][200/2505] lr: 5.0000e-04 eta: 1 day, 2:22:43 time: 0.8771 data_time: 0.2763 memory: 32703 grad_norm: 20.6484 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6547 loss: 1.6547 2022/07/30 02:25:47 - mmengine - INFO - Epoch(train) [21][220/2505] lr: 5.0000e-04 eta: 1 day, 2:22:27 time: 1.1024 data_time: 0.4763 memory: 32703 grad_norm: 20.3989 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3341 loss: 1.3341 2022/07/30 02:26:06 - mmengine - INFO - Epoch(train) [21][240/2505] lr: 5.0000e-04 eta: 1 day, 2:22:05 time: 0.9354 data_time: 0.3216 memory: 32703 grad_norm: 20.3134 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1707 loss: 1.1707 2022/07/30 02:26:27 - mmengine - INFO - Epoch(train) [21][260/2505] lr: 5.0000e-04 eta: 1 day, 2:21:46 time: 1.0377 data_time: 0.4286 memory: 32703 grad_norm: 21.4294 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4431 loss: 1.4431 2022/07/30 02:26:44 - mmengine - INFO - Epoch(train) [21][280/2505] lr: 5.0000e-04 eta: 1 day, 2:21:22 time: 0.8810 data_time: 0.2822 memory: 32703 grad_norm: 19.9511 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6155 loss: 1.6155 2022/07/30 02:27:06 - mmengine - INFO - Epoch(train) [21][300/2505] lr: 5.0000e-04 eta: 1 day, 2:21:04 time: 1.0748 data_time: 0.4528 memory: 32703 grad_norm: 20.5232 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.8152 loss: 1.8152 2022/07/30 02:27:24 - mmengine - INFO - Epoch(train) [21][320/2505] lr: 5.0000e-04 eta: 1 day, 2:20:41 time: 0.9199 data_time: 0.3246 memory: 32703 grad_norm: 19.3943 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5488 loss: 1.5488 2022/07/30 02:27:46 - mmengine - INFO - Epoch(train) [21][340/2505] lr: 5.0000e-04 eta: 1 day, 2:20:24 time: 1.0586 data_time: 0.4300 memory: 32703 grad_norm: 20.7382 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4928 loss: 1.4928 2022/07/30 02:28:04 - mmengine - INFO - Epoch(train) [21][360/2505] lr: 5.0000e-04 eta: 1 day, 2:20:01 time: 0.9205 data_time: 0.3214 memory: 32703 grad_norm: 20.2323 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4042 loss: 1.4042 2022/07/30 02:28:24 - mmengine - INFO - Epoch(train) [21][380/2505] lr: 5.0000e-04 eta: 1 day, 2:19:41 time: 1.0179 data_time: 0.3869 memory: 32703 grad_norm: 20.9891 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4962 loss: 1.4962 2022/07/30 02:28:43 - mmengine - INFO - Epoch(train) [21][400/2505] lr: 5.0000e-04 eta: 1 day, 2:19:20 time: 0.9561 data_time: 0.3264 memory: 32703 grad_norm: 20.9592 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4553 loss: 1.4553 2022/07/30 02:29:04 - mmengine - INFO - Epoch(train) [21][420/2505] lr: 5.0000e-04 eta: 1 day, 2:19:00 time: 1.0107 data_time: 0.3836 memory: 32703 grad_norm: 20.5885 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4344 loss: 1.4344 2022/07/30 02:29:23 - mmengine - INFO - Epoch(train) [21][440/2505] lr: 5.0000e-04 eta: 1 day, 2:18:39 time: 0.9802 data_time: 0.3532 memory: 32703 grad_norm: 19.9140 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5317 loss: 1.5317 2022/07/30 02:29:43 - mmengine - INFO - Epoch(train) [21][460/2505] lr: 5.0000e-04 eta: 1 day, 2:18:20 time: 1.0053 data_time: 0.3860 memory: 32703 grad_norm: 20.9285 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3250 loss: 1.3250 2022/07/30 02:30:02 - mmengine - INFO - Epoch(train) [21][480/2505] lr: 5.0000e-04 eta: 1 day, 2:17:58 time: 0.9500 data_time: 0.3244 memory: 32703 grad_norm: 20.4070 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3186 loss: 1.3186 2022/07/30 02:30:22 - mmengine - INFO - Epoch(train) [21][500/2505] lr: 5.0000e-04 eta: 1 day, 2:17:37 time: 0.9875 data_time: 0.3605 memory: 32703 grad_norm: 19.5979 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3651 loss: 1.3651 2022/07/30 02:30:42 - mmengine - INFO - Epoch(train) [21][520/2505] lr: 5.0000e-04 eta: 1 day, 2:17:17 time: 0.9964 data_time: 0.3644 memory: 32703 grad_norm: 19.5897 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.7052 loss: 1.7052 2022/07/30 02:31:03 - mmengine - INFO - Epoch(train) [21][540/2505] lr: 5.0000e-04 eta: 1 day, 2:16:59 time: 1.0427 data_time: 0.4136 memory: 32703 grad_norm: 20.2102 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4942 loss: 1.4942 2022/07/30 02:31:22 - mmengine - INFO - Epoch(train) [21][560/2505] lr: 5.0000e-04 eta: 1 day, 2:16:36 time: 0.9331 data_time: 0.3184 memory: 32703 grad_norm: 20.1230 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5513 loss: 1.5513 2022/07/30 02:31:41 - mmengine - INFO - Epoch(train) [21][580/2505] lr: 5.0000e-04 eta: 1 day, 2:16:16 time: 0.9915 data_time: 0.4046 memory: 32703 grad_norm: 19.5027 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4522 loss: 1.4522 2022/07/30 02:32:00 - mmengine - INFO - Epoch(train) [21][600/2505] lr: 5.0000e-04 eta: 1 day, 2:15:53 time: 0.9065 data_time: 0.2859 memory: 32703 grad_norm: 19.8691 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5732 loss: 1.5732 2022/07/30 02:32:20 - mmengine - INFO - Epoch(train) [21][620/2505] lr: 5.0000e-04 eta: 1 day, 2:15:34 time: 1.0453 data_time: 0.4365 memory: 32703 grad_norm: 20.3829 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.5408 loss: 1.5408 2022/07/30 02:32:39 - mmengine - INFO - Epoch(train) [21][640/2505] lr: 5.0000e-04 eta: 1 day, 2:15:12 time: 0.9374 data_time: 0.3034 memory: 32703 grad_norm: 19.0479 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6105 loss: 1.6105 2022/07/30 02:33:01 - mmengine - INFO - Epoch(train) [21][660/2505] lr: 5.0000e-04 eta: 1 day, 2:14:56 time: 1.1007 data_time: 0.4548 memory: 32703 grad_norm: 19.5149 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5260 loss: 1.5260 2022/07/30 02:33:19 - mmengine - INFO - Epoch(train) [21][680/2505] lr: 5.0000e-04 eta: 1 day, 2:14:32 time: 0.9047 data_time: 0.2967 memory: 32703 grad_norm: 20.3366 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4830 loss: 1.4830 2022/07/30 02:33:42 - mmengine - INFO - Epoch(train) [21][700/2505] lr: 5.0000e-04 eta: 1 day, 2:14:16 time: 1.1063 data_time: 0.4908 memory: 32703 grad_norm: 19.8559 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1796 loss: 1.1796 2022/07/30 02:33:59 - mmengine - INFO - Epoch(train) [21][720/2505] lr: 5.0000e-04 eta: 1 day, 2:13:51 time: 0.8527 data_time: 0.2438 memory: 32703 grad_norm: 20.1357 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4980 loss: 1.4980 2022/07/30 02:34:20 - mmengine - INFO - Epoch(train) [21][740/2505] lr: 5.0000e-04 eta: 1 day, 2:13:35 time: 1.0997 data_time: 0.5000 memory: 32703 grad_norm: 19.5511 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6268 loss: 1.6268 2022/07/30 02:34:38 - mmengine - INFO - Epoch(train) [21][760/2505] lr: 5.0000e-04 eta: 1 day, 2:13:10 time: 0.8665 data_time: 0.2544 memory: 32703 grad_norm: 19.7705 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6569 loss: 1.6569 2022/07/30 02:34:59 - mmengine - INFO - Epoch(train) [21][780/2505] lr: 5.0000e-04 eta: 1 day, 2:12:52 time: 1.0701 data_time: 0.4440 memory: 32703 grad_norm: 21.3356 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4633 loss: 1.4633 2022/07/30 02:35:17 - mmengine - INFO - Epoch(train) [21][800/2505] lr: 5.0000e-04 eta: 1 day, 2:12:29 time: 0.9122 data_time: 0.3040 memory: 32703 grad_norm: 19.5655 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5177 loss: 1.5177 2022/07/30 02:35:39 - mmengine - INFO - Epoch(train) [21][820/2505] lr: 5.0000e-04 eta: 1 day, 2:12:13 time: 1.0976 data_time: 0.4827 memory: 32703 grad_norm: 20.2656 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1968 loss: 1.1968 2022/07/30 02:35:56 - mmengine - INFO - Epoch(train) [21][840/2505] lr: 5.0000e-04 eta: 1 day, 2:11:46 time: 0.8293 data_time: 0.2368 memory: 32703 grad_norm: 19.8277 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2125 loss: 1.2125 2022/07/30 02:36:17 - mmengine - INFO - Epoch(train) [21][860/2505] lr: 5.0000e-04 eta: 1 day, 2:11:29 time: 1.0595 data_time: 0.4296 memory: 32703 grad_norm: 21.2019 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4333 loss: 1.4333 2022/07/30 02:36:39 - mmengine - INFO - Epoch(train) [21][880/2505] lr: 5.0000e-04 eta: 1 day, 2:11:12 time: 1.0813 data_time: 0.2873 memory: 32703 grad_norm: 20.7036 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4237 loss: 1.4237 2022/07/30 02:36:57 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 02:36:57 - mmengine - INFO - Epoch(train) [21][900/2505] lr: 5.0000e-04 eta: 1 day, 2:10:48 time: 0.8994 data_time: 0.0284 memory: 32703 grad_norm: 21.1701 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5662 loss: 1.5662 2022/07/30 02:37:17 - mmengine - INFO - Epoch(train) [21][920/2505] lr: 5.0000e-04 eta: 1 day, 2:10:28 time: 0.9969 data_time: 0.0263 memory: 32703 grad_norm: 19.4497 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.6212 loss: 1.6212 2022/07/30 02:37:35 - mmengine - INFO - Epoch(train) [21][940/2505] lr: 5.0000e-04 eta: 1 day, 2:10:05 time: 0.9261 data_time: 0.0339 memory: 32703 grad_norm: 20.7480 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4189 loss: 1.4189 2022/07/30 02:37:56 - mmengine - INFO - Epoch(train) [21][960/2505] lr: 5.0000e-04 eta: 1 day, 2:09:46 time: 1.0330 data_time: 0.0346 memory: 32703 grad_norm: 20.2336 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5041 loss: 1.5041 2022/07/30 02:38:15 - mmengine - INFO - Epoch(train) [21][980/2505] lr: 5.0000e-04 eta: 1 day, 2:09:25 time: 0.9584 data_time: 0.0346 memory: 32703 grad_norm: 19.8897 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4793 loss: 1.4793 2022/07/30 02:38:35 - mmengine - INFO - Epoch(train) [21][1000/2505] lr: 5.0000e-04 eta: 1 day, 2:09:04 time: 0.9836 data_time: 0.0292 memory: 32703 grad_norm: 20.1032 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5676 loss: 1.5676 2022/07/30 02:38:56 - mmengine - INFO - Epoch(train) [21][1020/2505] lr: 5.0000e-04 eta: 1 day, 2:08:46 time: 1.0420 data_time: 0.0284 memory: 32703 grad_norm: 21.5130 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5813 loss: 1.5813 2022/07/30 02:39:14 - mmengine - INFO - Epoch(train) [21][1040/2505] lr: 5.0000e-04 eta: 1 day, 2:08:23 time: 0.9199 data_time: 0.0272 memory: 32703 grad_norm: 19.6367 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6577 loss: 1.6577 2022/07/30 02:39:35 - mmengine - INFO - Epoch(train) [21][1060/2505] lr: 5.0000e-04 eta: 1 day, 2:08:05 time: 1.0653 data_time: 0.0317 memory: 32703 grad_norm: 20.2903 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5431 loss: 1.5431 2022/07/30 02:39:55 - mmengine - INFO - Epoch(train) [21][1080/2505] lr: 5.0000e-04 eta: 1 day, 2:07:45 time: 0.9821 data_time: 0.0340 memory: 32703 grad_norm: 20.5171 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.5615 loss: 1.5615 2022/07/30 02:40:17 - mmengine - INFO - Epoch(train) [21][1100/2505] lr: 5.0000e-04 eta: 1 day, 2:07:28 time: 1.0846 data_time: 0.0322 memory: 32703 grad_norm: 20.6727 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3138 loss: 1.3138 2022/07/30 02:40:35 - mmengine - INFO - Epoch(train) [21][1120/2505] lr: 5.0000e-04 eta: 1 day, 2:07:05 time: 0.9163 data_time: 0.0372 memory: 32703 grad_norm: 20.2082 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4832 loss: 1.4832 2022/07/30 02:40:56 - mmengine - INFO - Epoch(train) [21][1140/2505] lr: 5.0000e-04 eta: 1 day, 2:06:46 time: 1.0331 data_time: 0.0312 memory: 32703 grad_norm: 19.9464 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6881 loss: 1.6881 2022/07/30 02:41:15 - mmengine - INFO - Epoch(train) [21][1160/2505] lr: 5.0000e-04 eta: 1 day, 2:06:24 time: 0.9365 data_time: 0.0340 memory: 32703 grad_norm: 20.9000 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5584 loss: 1.5584 2022/07/30 02:41:35 - mmengine - INFO - Epoch(train) [21][1180/2505] lr: 5.0000e-04 eta: 1 day, 2:06:05 time: 1.0420 data_time: 0.0326 memory: 32703 grad_norm: 19.5667 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4276 loss: 1.4276 2022/07/30 02:41:54 - mmengine - INFO - Epoch(train) [21][1200/2505] lr: 5.0000e-04 eta: 1 day, 2:05:42 time: 0.9157 data_time: 0.0348 memory: 32703 grad_norm: 19.5383 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3156 loss: 1.3156 2022/07/30 02:42:15 - mmengine - INFO - Epoch(train) [21][1220/2505] lr: 5.0000e-04 eta: 1 day, 2:05:24 time: 1.0460 data_time: 0.0287 memory: 32703 grad_norm: 19.5400 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5632 loss: 1.5632 2022/07/30 02:42:32 - mmengine - INFO - Epoch(train) [21][1240/2505] lr: 5.0000e-04 eta: 1 day, 2:04:59 time: 0.8589 data_time: 0.0350 memory: 32703 grad_norm: 19.7928 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.3929 loss: 1.3929 2022/07/30 02:42:54 - mmengine - INFO - Epoch(train) [21][1260/2505] lr: 5.0000e-04 eta: 1 day, 2:04:42 time: 1.1005 data_time: 0.0274 memory: 32703 grad_norm: 19.8256 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4949 loss: 1.4949 2022/07/30 02:43:13 - mmengine - INFO - Epoch(train) [21][1280/2505] lr: 5.0000e-04 eta: 1 day, 2:04:20 time: 0.9411 data_time: 0.0322 memory: 32703 grad_norm: 20.4207 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1564 loss: 1.1564 2022/07/30 02:43:32 - mmengine - INFO - Epoch(train) [21][1300/2505] lr: 5.0000e-04 eta: 1 day, 2:03:58 time: 0.9469 data_time: 0.0328 memory: 32703 grad_norm: 20.5007 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3472 loss: 1.3472 2022/07/30 02:43:51 - mmengine - INFO - Epoch(train) [21][1320/2505] lr: 5.0000e-04 eta: 1 day, 2:03:37 time: 0.9533 data_time: 0.0318 memory: 32703 grad_norm: 20.3896 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6610 loss: 1.6610 2022/07/30 02:44:09 - mmengine - INFO - Epoch(train) [21][1340/2505] lr: 5.0000e-04 eta: 1 day, 2:03:14 time: 0.9316 data_time: 0.0317 memory: 32703 grad_norm: 19.6885 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4870 loss: 1.4870 2022/07/30 02:44:30 - mmengine - INFO - Epoch(train) [21][1360/2505] lr: 5.0000e-04 eta: 1 day, 2:02:55 time: 1.0141 data_time: 0.0334 memory: 32703 grad_norm: 20.5553 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3459 loss: 1.3459 2022/07/30 02:44:48 - mmengine - INFO - Epoch(train) [21][1380/2505] lr: 5.0000e-04 eta: 1 day, 2:02:32 time: 0.9225 data_time: 0.0355 memory: 32703 grad_norm: 19.6203 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4206 loss: 1.4206 2022/07/30 02:45:10 - mmengine - INFO - Epoch(train) [21][1400/2505] lr: 5.0000e-04 eta: 1 day, 2:02:16 time: 1.1104 data_time: 0.0289 memory: 32703 grad_norm: 19.9263 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3979 loss: 1.3979 2022/07/30 02:45:29 - mmengine - INFO - Epoch(train) [21][1420/2505] lr: 5.0000e-04 eta: 1 day, 2:01:53 time: 0.9191 data_time: 0.0355 memory: 32703 grad_norm: 20.9965 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6127 loss: 1.6127 2022/07/30 02:45:49 - mmengine - INFO - Epoch(train) [21][1440/2505] lr: 5.0000e-04 eta: 1 day, 2:01:33 time: 1.0001 data_time: 0.0329 memory: 32703 grad_norm: 20.6505 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2485 loss: 1.2485 2022/07/30 02:46:07 - mmengine - INFO - Epoch(train) [21][1460/2505] lr: 5.0000e-04 eta: 1 day, 2:01:10 time: 0.9139 data_time: 0.0276 memory: 32703 grad_norm: 20.1328 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5875 loss: 1.5875 2022/07/30 02:46:26 - mmengine - INFO - Epoch(train) [21][1480/2505] lr: 5.0000e-04 eta: 1 day, 2:00:49 time: 0.9791 data_time: 0.0259 memory: 32703 grad_norm: 19.6240 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.2702 loss: 1.2702 2022/07/30 02:46:47 - mmengine - INFO - Epoch(train) [21][1500/2505] lr: 5.0000e-04 eta: 1 day, 2:00:31 time: 1.0405 data_time: 0.0296 memory: 32703 grad_norm: 19.6936 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.6378 loss: 1.6378 2022/07/30 02:47:06 - mmengine - INFO - Epoch(train) [21][1520/2505] lr: 5.0000e-04 eta: 1 day, 2:00:08 time: 0.9256 data_time: 0.0291 memory: 32703 grad_norm: 19.8656 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6724 loss: 1.6724 2022/07/30 02:47:27 - mmengine - INFO - Epoch(train) [21][1540/2505] lr: 5.0000e-04 eta: 1 day, 1:59:50 time: 1.0480 data_time: 0.0292 memory: 32703 grad_norm: 19.4795 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4577 loss: 1.4577 2022/07/30 02:47:45 - mmengine - INFO - Epoch(train) [21][1560/2505] lr: 5.0000e-04 eta: 1 day, 1:59:27 time: 0.9251 data_time: 0.0280 memory: 32703 grad_norm: 20.7160 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6059 loss: 1.6059 2022/07/30 02:48:04 - mmengine - INFO - Epoch(train) [21][1580/2505] lr: 5.0000e-04 eta: 1 day, 1:59:05 time: 0.9332 data_time: 0.0264 memory: 32703 grad_norm: 20.0028 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.7204 loss: 1.7204 2022/07/30 02:48:24 - mmengine - INFO - Epoch(train) [21][1600/2505] lr: 5.0000e-04 eta: 1 day, 1:58:45 time: 1.0125 data_time: 0.0362 memory: 32703 grad_norm: 20.2477 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6155 loss: 1.6155 2022/07/30 02:48:43 - mmengine - INFO - Epoch(train) [21][1620/2505] lr: 5.0000e-04 eta: 1 day, 1:58:23 time: 0.9416 data_time: 0.0278 memory: 32703 grad_norm: 19.5338 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5818 loss: 1.5818 2022/07/30 02:49:04 - mmengine - INFO - Epoch(train) [21][1640/2505] lr: 5.0000e-04 eta: 1 day, 1:58:05 time: 1.0410 data_time: 0.0275 memory: 32703 grad_norm: 19.6909 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2828 loss: 1.2828 2022/07/30 02:49:23 - mmengine - INFO - Epoch(train) [21][1660/2505] lr: 5.0000e-04 eta: 1 day, 1:57:43 time: 0.9361 data_time: 0.0271 memory: 32703 grad_norm: 20.2800 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3604 loss: 1.3604 2022/07/30 02:49:44 - mmengine - INFO - Epoch(train) [21][1680/2505] lr: 5.0000e-04 eta: 1 day, 1:57:25 time: 1.0567 data_time: 0.0330 memory: 32703 grad_norm: 20.2123 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5169 loss: 1.5169 2022/07/30 02:50:03 - mmengine - INFO - Epoch(train) [21][1700/2505] lr: 5.0000e-04 eta: 1 day, 1:57:03 time: 0.9551 data_time: 0.0302 memory: 32703 grad_norm: 19.3403 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6847 loss: 1.6847 2022/07/30 02:50:24 - mmengine - INFO - Epoch(train) [21][1720/2505] lr: 5.0000e-04 eta: 1 day, 1:56:45 time: 1.0445 data_time: 0.0286 memory: 32703 grad_norm: 20.2334 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3612 loss: 1.3612 2022/07/30 02:50:44 - mmengine - INFO - Epoch(train) [21][1740/2505] lr: 5.0000e-04 eta: 1 day, 1:56:25 time: 1.0160 data_time: 0.0296 memory: 32703 grad_norm: 19.2943 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3915 loss: 1.3915 2022/07/30 02:51:04 - mmengine - INFO - Epoch(train) [21][1760/2505] lr: 5.0000e-04 eta: 1 day, 1:56:05 time: 0.9840 data_time: 0.0302 memory: 32703 grad_norm: 19.5659 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3083 loss: 1.3083 2022/07/30 02:51:24 - mmengine - INFO - Epoch(train) [21][1780/2505] lr: 5.0000e-04 eta: 1 day, 1:55:45 time: 0.9978 data_time: 0.0294 memory: 32703 grad_norm: 19.6219 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.4743 loss: 1.4743 2022/07/30 02:51:43 - mmengine - INFO - Epoch(train) [21][1800/2505] lr: 5.0000e-04 eta: 1 day, 1:55:23 time: 0.9497 data_time: 0.0277 memory: 32703 grad_norm: 20.0397 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4506 loss: 1.4506 2022/07/30 02:52:02 - mmengine - INFO - Epoch(train) [21][1820/2505] lr: 5.0000e-04 eta: 1 day, 1:55:03 time: 0.9874 data_time: 0.0339 memory: 32703 grad_norm: 20.4294 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5937 loss: 1.5937 2022/07/30 02:52:22 - mmengine - INFO - Epoch(train) [21][1840/2505] lr: 5.0000e-04 eta: 1 day, 1:54:43 time: 1.0005 data_time: 0.0313 memory: 32703 grad_norm: 20.1864 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2708 loss: 1.2708 2022/07/30 02:52:43 - mmengine - INFO - Epoch(train) [21][1860/2505] lr: 5.0000e-04 eta: 1 day, 1:54:23 time: 1.0010 data_time: 0.0315 memory: 32703 grad_norm: 19.6673 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4364 loss: 1.4364 2022/07/30 02:53:02 - mmengine - INFO - Epoch(train) [21][1880/2505] lr: 5.0000e-04 eta: 1 day, 1:54:01 time: 0.9580 data_time: 0.0384 memory: 32703 grad_norm: 20.3385 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3211 loss: 1.3211 2022/07/30 02:53:22 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 02:53:22 - mmengine - INFO - Epoch(train) [21][1900/2505] lr: 5.0000e-04 eta: 1 day, 1:53:42 time: 1.0076 data_time: 0.0278 memory: 32703 grad_norm: 19.8697 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4601 loss: 1.4601 2022/07/30 02:53:41 - mmengine - INFO - Epoch(train) [21][1920/2505] lr: 5.0000e-04 eta: 1 day, 1:53:20 time: 0.9639 data_time: 0.0323 memory: 32703 grad_norm: 20.6795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7864 loss: 1.7864 2022/07/30 02:54:02 - mmengine - INFO - Epoch(train) [21][1940/2505] lr: 5.0000e-04 eta: 1 day, 1:53:01 time: 1.0292 data_time: 0.0264 memory: 32703 grad_norm: 21.0584 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3414 loss: 1.3414 2022/07/30 02:54:21 - mmengine - INFO - Epoch(train) [21][1960/2505] lr: 5.0000e-04 eta: 1 day, 1:52:40 time: 0.9489 data_time: 0.0292 memory: 32703 grad_norm: 20.3917 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3959 loss: 1.3959 2022/07/30 02:54:40 - mmengine - INFO - Epoch(train) [21][1980/2505] lr: 5.0000e-04 eta: 1 day, 1:52:18 time: 0.9499 data_time: 0.0286 memory: 32703 grad_norm: 20.0149 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3776 loss: 1.3776 2022/07/30 02:55:01 - mmengine - INFO - Epoch(train) [21][2000/2505] lr: 5.0000e-04 eta: 1 day, 1:52:00 time: 1.0496 data_time: 0.0270 memory: 32703 grad_norm: 20.4565 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5877 loss: 1.5877 2022/07/30 02:55:19 - mmengine - INFO - Epoch(train) [21][2020/2505] lr: 5.0000e-04 eta: 1 day, 1:51:37 time: 0.9201 data_time: 0.0281 memory: 32703 grad_norm: 19.6984 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.2996 loss: 1.2996 2022/07/30 02:55:41 - mmengine - INFO - Epoch(train) [21][2040/2505] lr: 5.0000e-04 eta: 1 day, 1:51:20 time: 1.0825 data_time: 0.0272 memory: 32703 grad_norm: 20.6807 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7689 loss: 1.7689 2022/07/30 02:55:59 - mmengine - INFO - Epoch(train) [21][2060/2505] lr: 5.0000e-04 eta: 1 day, 1:50:56 time: 0.9002 data_time: 0.0269 memory: 32703 grad_norm: 19.8870 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6846 loss: 1.6846 2022/07/30 02:56:21 - mmengine - INFO - Epoch(train) [21][2080/2505] lr: 5.0000e-04 eta: 1 day, 1:50:40 time: 1.0975 data_time: 0.0300 memory: 32703 grad_norm: 19.7348 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2701 loss: 1.2701 2022/07/30 02:56:39 - mmengine - INFO - Epoch(train) [21][2100/2505] lr: 5.0000e-04 eta: 1 day, 1:50:17 time: 0.9128 data_time: 0.0272 memory: 32703 grad_norm: 19.5275 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.7917 loss: 1.7917 2022/07/30 02:57:00 - mmengine - INFO - Epoch(train) [21][2120/2505] lr: 5.0000e-04 eta: 1 day, 1:50:00 time: 1.0738 data_time: 0.0265 memory: 32703 grad_norm: 20.0842 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6271 loss: 1.6271 2022/07/30 02:57:18 - mmengine - INFO - Epoch(train) [21][2140/2505] lr: 5.0000e-04 eta: 1 day, 1:49:36 time: 0.8901 data_time: 0.0300 memory: 32703 grad_norm: 21.0105 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6406 loss: 1.6406 2022/07/30 02:57:40 - mmengine - INFO - Epoch(train) [21][2160/2505] lr: 5.0000e-04 eta: 1 day, 1:49:18 time: 1.0757 data_time: 0.0304 memory: 32703 grad_norm: 19.5769 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4571 loss: 1.4571 2022/07/30 02:57:58 - mmengine - INFO - Epoch(train) [21][2180/2505] lr: 5.0000e-04 eta: 1 day, 1:48:55 time: 0.8952 data_time: 0.0261 memory: 32703 grad_norm: 19.7200 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1097 loss: 1.1097 2022/07/30 02:58:19 - mmengine - INFO - Epoch(train) [21][2200/2505] lr: 5.0000e-04 eta: 1 day, 1:48:37 time: 1.0644 data_time: 0.0306 memory: 32703 grad_norm: 19.9437 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3344 loss: 1.3344 2022/07/30 02:58:37 - mmengine - INFO - Epoch(train) [21][2220/2505] lr: 5.0000e-04 eta: 1 day, 1:48:15 time: 0.9273 data_time: 0.0277 memory: 32703 grad_norm: 20.2081 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3884 loss: 1.3884 2022/07/30 02:58:58 - mmengine - INFO - Epoch(train) [21][2240/2505] lr: 5.0000e-04 eta: 1 day, 1:47:55 time: 1.0136 data_time: 0.0268 memory: 32703 grad_norm: 20.1295 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2979 loss: 1.2979 2022/07/30 02:59:17 - mmengine - INFO - Epoch(train) [21][2260/2505] lr: 5.0000e-04 eta: 1 day, 1:47:33 time: 0.9417 data_time: 0.0339 memory: 32703 grad_norm: 21.0827 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2948 loss: 1.2948 2022/07/30 02:59:38 - mmengine - INFO - Epoch(train) [21][2280/2505] lr: 5.0000e-04 eta: 1 day, 1:47:15 time: 1.0542 data_time: 0.0281 memory: 32703 grad_norm: 21.1617 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5547 loss: 1.5547 2022/07/30 02:59:55 - mmengine - INFO - Epoch(train) [21][2300/2505] lr: 5.0000e-04 eta: 1 day, 1:46:51 time: 0.8885 data_time: 0.0313 memory: 32703 grad_norm: 19.7535 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3562 loss: 1.3562 2022/07/30 03:00:17 - mmengine - INFO - Epoch(train) [21][2320/2505] lr: 5.0000e-04 eta: 1 day, 1:46:35 time: 1.0956 data_time: 0.0267 memory: 32703 grad_norm: 20.0998 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.5352 loss: 1.5352 2022/07/30 03:00:35 - mmengine - INFO - Epoch(train) [21][2340/2505] lr: 5.0000e-04 eta: 1 day, 1:46:11 time: 0.8940 data_time: 0.0297 memory: 32703 grad_norm: 21.2364 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.4968 loss: 1.4968 2022/07/30 03:00:56 - mmengine - INFO - Epoch(train) [21][2360/2505] lr: 5.0000e-04 eta: 1 day, 1:45:53 time: 1.0579 data_time: 0.0339 memory: 32703 grad_norm: 20.4260 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6943 loss: 1.6943 2022/07/30 03:01:15 - mmengine - INFO - Epoch(train) [21][2380/2505] lr: 5.0000e-04 eta: 1 day, 1:45:30 time: 0.9098 data_time: 0.0263 memory: 32703 grad_norm: 20.4828 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3056 loss: 1.3056 2022/07/30 03:01:35 - mmengine - INFO - Epoch(train) [21][2400/2505] lr: 5.0000e-04 eta: 1 day, 1:45:11 time: 1.0248 data_time: 0.0270 memory: 32703 grad_norm: 19.6973 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4566 loss: 1.4566 2022/07/30 03:01:54 - mmengine - INFO - Epoch(train) [21][2420/2505] lr: 5.0000e-04 eta: 1 day, 1:44:48 time: 0.9329 data_time: 0.0277 memory: 32703 grad_norm: 20.0385 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4210 loss: 1.4210 2022/07/30 03:02:15 - mmengine - INFO - Epoch(train) [21][2440/2505] lr: 5.0000e-04 eta: 1 day, 1:44:30 time: 1.0414 data_time: 0.0254 memory: 32703 grad_norm: 20.1308 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4708 loss: 1.4708 2022/07/30 03:02:34 - mmengine - INFO - Epoch(train) [21][2460/2505] lr: 5.0000e-04 eta: 1 day, 1:44:08 time: 0.9521 data_time: 0.0301 memory: 32703 grad_norm: 19.5506 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4266 loss: 1.4266 2022/07/30 03:02:53 - mmengine - INFO - Epoch(train) [21][2480/2505] lr: 5.0000e-04 eta: 1 day, 1:43:48 time: 0.9886 data_time: 0.0277 memory: 32703 grad_norm: 20.2140 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3779 loss: 1.3779 2022/07/30 03:03:11 - mmengine - INFO - Epoch(train) [21][2500/2505] lr: 5.0000e-04 eta: 1 day, 1:43:23 time: 0.8744 data_time: 0.0348 memory: 32703 grad_norm: 19.8898 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2702 loss: 1.2702 2022/07/30 03:03:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 03:03:14 - mmengine - INFO - Epoch(train) [21][2505/2505] lr: 5.0000e-04 eta: 1 day, 1:43:23 time: 0.7346 data_time: 0.0260 memory: 32703 grad_norm: 20.6033 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.2239 loss: 1.2239 2022/07/30 03:03:16 - mmengine - INFO - Epoch(val) [21][20/2475] eta: 0:04:40 time: 0.1141 data_time: 0.0866 memory: 817 2022/07/30 03:03:18 - mmengine - INFO - Epoch(val) [21][40/2475] eta: 0:03:27 time: 0.0851 data_time: 0.0587 memory: 817 2022/07/30 03:03:20 - mmengine - INFO - Epoch(val) [21][60/2475] eta: 0:04:15 time: 0.1059 data_time: 0.0782 memory: 817 2022/07/30 03:03:21 - mmengine - INFO - Epoch(val) [21][80/2475] eta: 0:02:43 time: 0.0682 data_time: 0.0400 memory: 817 2022/07/30 03:03:23 - mmengine - INFO - Epoch(val) [21][100/2475] eta: 0:03:48 time: 0.0960 data_time: 0.0667 memory: 817 2022/07/30 03:03:24 - mmengine - INFO - Epoch(val) [21][120/2475] eta: 0:02:26 time: 0.0620 data_time: 0.0330 memory: 817 2022/07/30 03:03:26 - mmengine - INFO - Epoch(val) [21][140/2475] eta: 0:03:24 time: 0.0876 data_time: 0.0617 memory: 817 2022/07/30 03:03:28 - mmengine - INFO - Epoch(val) [21][160/2475] eta: 0:03:02 time: 0.0789 data_time: 0.0492 memory: 817 2022/07/30 03:03:29 - mmengine - INFO - Epoch(val) [21][180/2475] eta: 0:03:16 time: 0.0857 data_time: 0.0580 memory: 817 2022/07/30 03:03:31 - mmengine - INFO - Epoch(val) [21][200/2475] eta: 0:02:34 time: 0.0680 data_time: 0.0371 memory: 817 2022/07/30 03:03:33 - mmengine - INFO - Epoch(val) [21][220/2475] eta: 0:03:12 time: 0.0854 data_time: 0.0587 memory: 817 2022/07/30 03:03:34 - mmengine - INFO - Epoch(val) [21][240/2475] eta: 0:02:45 time: 0.0741 data_time: 0.0464 memory: 817 2022/07/30 03:03:36 - mmengine - INFO - Epoch(val) [21][260/2475] eta: 0:02:53 time: 0.0785 data_time: 0.0502 memory: 817 2022/07/30 03:03:37 - mmengine - INFO - Epoch(val) [21][280/2475] eta: 0:03:07 time: 0.0854 data_time: 0.0570 memory: 817 2022/07/30 03:03:39 - mmengine - INFO - Epoch(val) [21][300/2475] eta: 0:02:35 time: 0.0716 data_time: 0.0441 memory: 817 2022/07/30 03:03:41 - mmengine - INFO - Epoch(val) [21][320/2475] eta: 0:03:34 time: 0.0995 data_time: 0.0718 memory: 817 2022/07/30 03:03:42 - mmengine - INFO - Epoch(val) [21][340/2475] eta: 0:02:36 time: 0.0734 data_time: 0.0437 memory: 817 2022/07/30 03:03:44 - mmengine - INFO - Epoch(val) [21][360/2475] eta: 0:02:58 time: 0.0846 data_time: 0.0571 memory: 817 2022/07/30 03:03:45 - mmengine - INFO - Epoch(val) [21][380/2475] eta: 0:02:23 time: 0.0687 data_time: 0.0420 memory: 817 2022/07/30 03:03:47 - mmengine - INFO - Epoch(val) [21][400/2475] eta: 0:02:58 time: 0.0859 data_time: 0.0582 memory: 817 2022/07/30 03:03:49 - mmengine - INFO - Epoch(val) [21][420/2475] eta: 0:02:51 time: 0.0836 data_time: 0.0558 memory: 817 2022/07/30 03:03:51 - mmengine - INFO - Epoch(val) [21][440/2475] eta: 0:03:14 time: 0.0955 data_time: 0.0614 memory: 817 2022/07/30 03:03:52 - mmengine - INFO - Epoch(val) [21][460/2475] eta: 0:02:46 time: 0.0828 data_time: 0.0545 memory: 817 2022/07/30 03:03:54 - mmengine - INFO - Epoch(val) [21][480/2475] eta: 0:02:44 time: 0.0827 data_time: 0.0540 memory: 817 2022/07/30 03:03:55 - mmengine - INFO - Epoch(val) [21][500/2475] eta: 0:02:12 time: 0.0668 data_time: 0.0408 memory: 817 2022/07/30 03:03:57 - mmengine - INFO - Epoch(val) [21][520/2475] eta: 0:02:51 time: 0.0879 data_time: 0.0603 memory: 817 2022/07/30 03:03:58 - mmengine - INFO - Epoch(val) [21][540/2475] eta: 0:02:12 time: 0.0685 data_time: 0.0415 memory: 817 2022/07/30 03:04:00 - mmengine - INFO - Epoch(val) [21][560/2475] eta: 0:02:50 time: 0.0892 data_time: 0.0448 memory: 817 2022/07/30 03:04:01 - mmengine - INFO - Epoch(val) [21][580/2475] eta: 0:01:49 time: 0.0579 data_time: 0.0206 memory: 817 2022/07/30 03:04:03 - mmengine - INFO - Epoch(val) [21][600/2475] eta: 0:02:43 time: 0.0872 data_time: 0.0600 memory: 817 2022/07/30 03:04:05 - mmengine - INFO - Epoch(val) [21][620/2475] eta: 0:02:40 time: 0.0867 data_time: 0.0569 memory: 817 2022/07/30 03:04:06 - mmengine - INFO - Epoch(val) [21][640/2475] eta: 0:02:03 time: 0.0672 data_time: 0.0393 memory: 817 2022/07/30 03:04:08 - mmengine - INFO - Epoch(val) [21][660/2475] eta: 0:02:46 time: 0.0920 data_time: 0.0645 memory: 817 2022/07/30 03:04:10 - mmengine - INFO - Epoch(val) [21][680/2475] eta: 0:02:29 time: 0.0831 data_time: 0.0528 memory: 817 2022/07/30 03:04:11 - mmengine - INFO - Epoch(val) [21][700/2475] eta: 0:02:08 time: 0.0726 data_time: 0.0449 memory: 817 2022/07/30 03:04:13 - mmengine - INFO - Epoch(val) [21][720/2475] eta: 0:02:35 time: 0.0886 data_time: 0.0605 memory: 817 2022/07/30 03:04:14 - mmengine - INFO - Epoch(val) [21][740/2475] eta: 0:01:59 time: 0.0689 data_time: 0.0413 memory: 817 2022/07/30 03:04:16 - mmengine - INFO - Epoch(val) [21][760/2475] eta: 0:02:35 time: 0.0904 data_time: 0.0626 memory: 817 2022/07/30 03:04:17 - mmengine - INFO - Epoch(val) [21][780/2475] eta: 0:01:55 time: 0.0682 data_time: 0.0403 memory: 817 2022/07/30 03:04:19 - mmengine - INFO - Epoch(val) [21][800/2475] eta: 0:02:27 time: 0.0883 data_time: 0.0612 memory: 817 2022/07/30 03:04:21 - mmengine - INFO - Epoch(val) [21][820/2475] eta: 0:01:50 time: 0.0670 data_time: 0.0388 memory: 817 2022/07/30 03:04:22 - mmengine - INFO - Epoch(val) [21][840/2475] eta: 0:02:09 time: 0.0791 data_time: 0.0518 memory: 817 2022/07/30 03:04:24 - mmengine - INFO - Epoch(val) [21][860/2475] eta: 0:02:15 time: 0.0838 data_time: 0.0537 memory: 817 2022/07/30 03:04:25 - mmengine - INFO - Epoch(val) [21][880/2475] eta: 0:01:56 time: 0.0733 data_time: 0.0429 memory: 817 2022/07/30 03:04:27 - mmengine - INFO - Epoch(val) [21][900/2475] eta: 0:02:36 time: 0.0993 data_time: 0.0715 memory: 817 2022/07/30 03:04:29 - mmengine - INFO - Epoch(val) [21][920/2475] eta: 0:01:54 time: 0.0738 data_time: 0.0463 memory: 817 2022/07/30 03:04:30 - mmengine - INFO - Epoch(val) [21][940/2475] eta: 0:02:11 time: 0.0858 data_time: 0.0569 memory: 817 2022/07/30 03:04:32 - mmengine - INFO - Epoch(val) [21][960/2475] eta: 0:01:50 time: 0.0727 data_time: 0.0459 memory: 817 2022/07/30 03:04:34 - mmengine - INFO - Epoch(val) [21][980/2475] eta: 0:02:05 time: 0.0838 data_time: 0.0554 memory: 817 2022/07/30 03:04:35 - mmengine - INFO - Epoch(val) [21][1000/2475] eta: 0:01:48 time: 0.0733 data_time: 0.0465 memory: 817 2022/07/30 03:04:37 - mmengine - INFO - Epoch(val) [21][1020/2475] eta: 0:02:14 time: 0.0926 data_time: 0.0647 memory: 817 2022/07/30 03:04:38 - mmengine - INFO - Epoch(val) [21][1040/2475] eta: 0:01:44 time: 0.0725 data_time: 0.0463 memory: 817 2022/07/30 03:04:40 - mmengine - INFO - Epoch(val) [21][1060/2475] eta: 0:02:09 time: 0.0915 data_time: 0.0464 memory: 817 2022/07/30 03:04:42 - mmengine - INFO - Epoch(val) [21][1080/2475] eta: 0:01:33 time: 0.0673 data_time: 0.0375 memory: 817 2022/07/30 03:04:43 - mmengine - INFO - Epoch(val) [21][1100/2475] eta: 0:02:02 time: 0.0887 data_time: 0.0599 memory: 817 2022/07/30 03:04:45 - mmengine - INFO - Epoch(val) [21][1120/2475] eta: 0:01:39 time: 0.0736 data_time: 0.0446 memory: 817 2022/07/30 03:04:47 - mmengine - INFO - Epoch(val) [21][1140/2475] eta: 0:02:04 time: 0.0933 data_time: 0.0661 memory: 817 2022/07/30 03:04:48 - mmengine - INFO - Epoch(val) [21][1160/2475] eta: 0:01:30 time: 0.0690 data_time: 0.0405 memory: 817 2022/07/30 03:04:50 - mmengine - INFO - Epoch(val) [21][1180/2475] eta: 0:02:03 time: 0.0951 data_time: 0.0681 memory: 817 2022/07/30 03:04:51 - mmengine - INFO - Epoch(val) [21][1200/2475] eta: 0:01:38 time: 0.0769 data_time: 0.0485 memory: 817 2022/07/30 03:04:53 - mmengine - INFO - Epoch(val) [21][1220/2475] eta: 0:01:45 time: 0.0841 data_time: 0.0560 memory: 817 2022/07/30 03:04:55 - mmengine - INFO - Epoch(val) [21][1240/2475] eta: 0:01:43 time: 0.0835 data_time: 0.0555 memory: 817 2022/07/30 03:04:57 - mmengine - INFO - Epoch(val) [21][1260/2475] eta: 0:01:46 time: 0.0875 data_time: 0.0604 memory: 817 2022/07/30 03:04:58 - mmengine - INFO - Epoch(val) [21][1280/2475] eta: 0:01:29 time: 0.0745 data_time: 0.0472 memory: 817 2022/07/30 03:05:00 - mmengine - INFO - Epoch(val) [21][1300/2475] eta: 0:01:50 time: 0.0944 data_time: 0.0666 memory: 817 2022/07/30 03:05:01 - mmengine - INFO - Epoch(val) [21][1320/2475] eta: 0:01:06 time: 0.0572 data_time: 0.0262 memory: 817 2022/07/30 03:05:03 - mmengine - INFO - Epoch(val) [21][1340/2475] eta: 0:01:59 time: 0.1057 data_time: 0.0785 memory: 817 2022/07/30 03:05:05 - mmengine - INFO - Epoch(val) [21][1360/2475] eta: 0:01:13 time: 0.0660 data_time: 0.0390 memory: 817 2022/07/30 03:05:06 - mmengine - INFO - Epoch(val) [21][1380/2475] eta: 0:01:35 time: 0.0875 data_time: 0.0604 memory: 817 2022/07/30 03:05:08 - mmengine - INFO - Epoch(val) [21][1400/2475] eta: 0:01:22 time: 0.0765 data_time: 0.0480 memory: 817 2022/07/30 03:05:10 - mmengine - INFO - Epoch(val) [21][1420/2475] eta: 0:01:29 time: 0.0853 data_time: 0.0594 memory: 817 2022/07/30 03:05:11 - mmengine - INFO - Epoch(val) [21][1440/2475] eta: 0:01:11 time: 0.0695 data_time: 0.0397 memory: 817 2022/07/30 03:05:13 - mmengine - INFO - Epoch(val) [21][1460/2475] eta: 0:01:48 time: 0.1065 data_time: 0.0799 memory: 817 2022/07/30 03:05:14 - mmengine - INFO - Epoch(val) [21][1480/2475] eta: 0:01:04 time: 0.0652 data_time: 0.0387 memory: 817 2022/07/30 03:05:16 - mmengine - INFO - Epoch(val) [21][1500/2475] eta: 0:01:31 time: 0.0934 data_time: 0.0670 memory: 817 2022/07/30 03:05:18 - mmengine - INFO - Epoch(val) [21][1520/2475] eta: 0:01:13 time: 0.0771 data_time: 0.0510 memory: 817 2022/07/30 03:05:20 - mmengine - INFO - Epoch(val) [21][1540/2475] eta: 0:01:24 time: 0.0906 data_time: 0.0643 memory: 817 2022/07/30 03:05:21 - mmengine - INFO - Epoch(val) [21][1560/2475] eta: 0:01:06 time: 0.0722 data_time: 0.0200 memory: 817 2022/07/30 03:05:23 - mmengine - INFO - Epoch(val) [21][1580/2475] eta: 0:01:17 time: 0.0867 data_time: 0.0592 memory: 817 2022/07/30 03:05:24 - mmengine - INFO - Epoch(val) [21][1600/2475] eta: 0:01:01 time: 0.0704 data_time: 0.0406 memory: 817 2022/07/30 03:05:26 - mmengine - INFO - Epoch(val) [21][1620/2475] eta: 0:01:18 time: 0.0912 data_time: 0.0635 memory: 817 2022/07/30 03:05:27 - mmengine - INFO - Epoch(val) [21][1640/2475] eta: 0:00:55 time: 0.0665 data_time: 0.0398 memory: 817 2022/07/30 03:05:30 - mmengine - INFO - Epoch(val) [21][1660/2475] eta: 0:01:29 time: 0.1098 data_time: 0.0825 memory: 817 2022/07/30 03:05:31 - mmengine - INFO - Epoch(val) [21][1680/2475] eta: 0:00:52 time: 0.0664 data_time: 0.0365 memory: 817 2022/07/30 03:05:33 - mmengine - INFO - Epoch(val) [21][1700/2475] eta: 0:01:03 time: 0.0815 data_time: 0.0553 memory: 817 2022/07/30 03:05:34 - mmengine - INFO - Epoch(val) [21][1720/2475] eta: 0:01:06 time: 0.0881 data_time: 0.0610 memory: 817 2022/07/30 03:05:36 - mmengine - INFO - Epoch(val) [21][1740/2475] eta: 0:00:48 time: 0.0655 data_time: 0.0389 memory: 817 2022/07/30 03:05:37 - mmengine - INFO - Epoch(val) [21][1760/2475] eta: 0:01:05 time: 0.0921 data_time: 0.0646 memory: 817 2022/07/30 03:05:39 - mmengine - INFO - Epoch(val) [21][1780/2475] eta: 0:00:50 time: 0.0732 data_time: 0.0452 memory: 817 2022/07/30 03:05:41 - mmengine - INFO - Epoch(val) [21][1800/2475] eta: 0:00:59 time: 0.0875 data_time: 0.0515 memory: 817 2022/07/30 03:05:42 - mmengine - INFO - Epoch(val) [21][1820/2475] eta: 0:00:59 time: 0.0901 data_time: 0.0635 memory: 817 2022/07/30 03:05:44 - mmengine - INFO - Epoch(val) [21][1840/2475] eta: 0:00:50 time: 0.0791 data_time: 0.0515 memory: 817 2022/07/30 03:05:46 - mmengine - INFO - Epoch(val) [21][1860/2475] eta: 0:00:51 time: 0.0840 data_time: 0.0558 memory: 817 2022/07/30 03:05:47 - mmengine - INFO - Epoch(val) [21][1880/2475] eta: 0:00:51 time: 0.0860 data_time: 0.0586 memory: 817 2022/07/30 03:05:49 - mmengine - INFO - Epoch(val) [21][1900/2475] eta: 0:00:46 time: 0.0812 data_time: 0.0533 memory: 817 2022/07/30 03:05:51 - mmengine - INFO - Epoch(val) [21][1920/2475] eta: 0:00:40 time: 0.0721 data_time: 0.0422 memory: 817 2022/07/30 03:05:52 - mmengine - INFO - Epoch(val) [21][1940/2475] eta: 0:00:47 time: 0.0893 data_time: 0.0630 memory: 817 2022/07/30 03:05:54 - mmengine - INFO - Epoch(val) [21][1960/2475] eta: 0:00:34 time: 0.0671 data_time: 0.0392 memory: 817 2022/07/30 03:05:55 - mmengine - INFO - Epoch(val) [21][1980/2475] eta: 0:00:40 time: 0.0819 data_time: 0.0549 memory: 817 2022/07/30 03:05:57 - mmengine - INFO - Epoch(val) [21][2000/2475] eta: 0:00:33 time: 0.0712 data_time: 0.0435 memory: 817 2022/07/30 03:05:59 - mmengine - INFO - Epoch(val) [21][2020/2475] eta: 0:00:42 time: 0.0945 data_time: 0.0660 memory: 817 2022/07/30 03:06:00 - mmengine - INFO - Epoch(val) [21][2040/2475] eta: 0:00:34 time: 0.0790 data_time: 0.0447 memory: 817 2022/07/30 03:06:02 - mmengine - INFO - Epoch(val) [21][2060/2475] eta: 0:00:30 time: 0.0739 data_time: 0.0468 memory: 817 2022/07/30 03:06:03 - mmengine - INFO - Epoch(val) [21][2080/2475] eta: 0:00:30 time: 0.0762 data_time: 0.0484 memory: 817 2022/07/30 03:06:05 - mmengine - INFO - Epoch(val) [21][2100/2475] eta: 0:00:33 time: 0.0885 data_time: 0.0629 memory: 817 2022/07/30 03:06:07 - mmengine - INFO - Epoch(val) [21][2120/2475] eta: 0:00:35 time: 0.0992 data_time: 0.0701 memory: 817 2022/07/30 03:06:08 - mmengine - INFO - Epoch(val) [21][2140/2475] eta: 0:00:22 time: 0.0667 data_time: 0.0384 memory: 817 2022/07/30 03:06:10 - mmengine - INFO - Epoch(val) [21][2160/2475] eta: 0:00:24 time: 0.0777 data_time: 0.0505 memory: 817 2022/07/30 03:06:12 - mmengine - INFO - Epoch(val) [21][2180/2475] eta: 0:00:25 time: 0.0863 data_time: 0.0569 memory: 817 2022/07/30 03:06:14 - mmengine - INFO - Epoch(val) [21][2200/2475] eta: 0:00:26 time: 0.0953 data_time: 0.0682 memory: 817 2022/07/30 03:06:15 - mmengine - INFO - Epoch(val) [21][2220/2475] eta: 0:00:16 time: 0.0649 data_time: 0.0372 memory: 817 2022/07/30 03:06:17 - mmengine - INFO - Epoch(val) [21][2240/2475] eta: 0:00:21 time: 0.0927 data_time: 0.0653 memory: 817 2022/07/30 03:06:18 - mmengine - INFO - Epoch(val) [21][2260/2475] eta: 0:00:16 time: 0.0773 data_time: 0.0509 memory: 817 2022/07/30 03:06:20 - mmengine - INFO - Epoch(val) [21][2280/2475] eta: 0:00:18 time: 0.0960 data_time: 0.0692 memory: 817 2022/07/30 03:06:21 - mmengine - INFO - Epoch(val) [21][2300/2475] eta: 0:00:11 time: 0.0658 data_time: 0.0384 memory: 817 2022/07/30 03:06:24 - mmengine - INFO - Epoch(val) [21][2320/2475] eta: 0:00:15 time: 0.1028 data_time: 0.0760 memory: 817 2022/07/30 03:06:25 - mmengine - INFO - Epoch(val) [21][2340/2475] eta: 0:00:08 time: 0.0644 data_time: 0.0367 memory: 817 2022/07/30 03:06:26 - mmengine - INFO - Epoch(val) [21][2360/2475] eta: 0:00:08 time: 0.0754 data_time: 0.0479 memory: 817 2022/07/30 03:06:28 - mmengine - INFO - Epoch(val) [21][2380/2475] eta: 0:00:07 time: 0.0835 data_time: 0.0565 memory: 817 2022/07/30 03:06:29 - mmengine - INFO - Epoch(val) [21][2400/2475] eta: 0:00:05 time: 0.0733 data_time: 0.0451 memory: 817 2022/07/30 03:06:31 - mmengine - INFO - Epoch(val) [21][2420/2475] eta: 0:00:04 time: 0.0778 data_time: 0.0396 memory: 817 2022/07/30 03:06:33 - mmengine - INFO - Epoch(val) [21][2440/2475] eta: 0:00:02 time: 0.0840 data_time: 0.0551 memory: 817 2022/07/30 03:06:35 - mmengine - INFO - Epoch(val) [21][2460/2475] eta: 0:00:01 time: 0.0959 data_time: 0.0683 memory: 817 2022/07/30 03:06:37 - mmengine - INFO - Epoch(val) [21][2475/2475] acc/top1: 0.7077 acc/top5: 0.8952 acc/mean1: 0.7077 2022/07/30 03:06:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_19.pth is removed 2022/07/30 03:06:41 - mmengine - INFO - The best checkpoint with 0.7077 acc/top1 at 22 epoch is saved to best_acc/top1_epoch_22.pth. 2022/07/30 03:07:07 - mmengine - INFO - Epoch(train) [22][20/2505] lr: 5.0000e-04 eta: 1 day, 1:42:59 time: 1.2759 data_time: 0.6933 memory: 32703 grad_norm: 21.4115 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5478 loss: 1.5478 2022/07/30 03:07:26 - mmengine - INFO - Epoch(train) [22][40/2505] lr: 5.0000e-04 eta: 1 day, 1:42:38 time: 0.9632 data_time: 0.3477 memory: 32703 grad_norm: 21.7376 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.3171 loss: 1.3171 2022/07/30 03:07:47 - mmengine - INFO - Epoch(train) [22][60/2505] lr: 5.0000e-04 eta: 1 day, 1:42:20 time: 1.0431 data_time: 0.4388 memory: 32703 grad_norm: 19.4232 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5246 loss: 1.5246 2022/07/30 03:08:05 - mmengine - INFO - Epoch(train) [22][80/2505] lr: 5.0000e-04 eta: 1 day, 1:41:56 time: 0.9013 data_time: 0.2750 memory: 32703 grad_norm: 19.8361 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4918 loss: 1.4918 2022/07/30 03:08:26 - mmengine - INFO - Epoch(train) [22][100/2505] lr: 5.0000e-04 eta: 1 day, 1:41:38 time: 1.0418 data_time: 0.4667 memory: 32703 grad_norm: 19.7411 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5868 loss: 1.5868 2022/07/30 03:08:45 - mmengine - INFO - Epoch(train) [22][120/2505] lr: 5.0000e-04 eta: 1 day, 1:41:16 time: 0.9446 data_time: 0.3216 memory: 32703 grad_norm: 19.3622 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3508 loss: 1.3508 2022/07/30 03:09:05 - mmengine - INFO - Epoch(train) [22][140/2505] lr: 5.0000e-04 eta: 1 day, 1:40:57 time: 1.0337 data_time: 0.4497 memory: 32703 grad_norm: 19.9869 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6569 loss: 1.6569 2022/07/30 03:09:24 - mmengine - INFO - Epoch(train) [22][160/2505] lr: 5.0000e-04 eta: 1 day, 1:40:36 time: 0.9534 data_time: 0.3311 memory: 32703 grad_norm: 19.4295 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1856 loss: 1.1856 2022/07/30 03:09:44 - mmengine - INFO - Epoch(train) [22][180/2505] lr: 5.0000e-04 eta: 1 day, 1:40:16 time: 1.0058 data_time: 0.3819 memory: 32703 grad_norm: 19.9844 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3711 loss: 1.3711 2022/07/30 03:10:03 - mmengine - INFO - Epoch(train) [22][200/2505] lr: 5.0000e-04 eta: 1 day, 1:39:53 time: 0.9085 data_time: 0.3175 memory: 32703 grad_norm: 20.5848 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3566 loss: 1.3566 2022/07/30 03:10:24 - mmengine - INFO - Epoch(train) [22][220/2505] lr: 5.0000e-04 eta: 1 day, 1:39:35 time: 1.0694 data_time: 0.4682 memory: 32703 grad_norm: 19.8167 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5072 loss: 1.5072 2022/07/30 03:10:42 - mmengine - INFO - Epoch(train) [22][240/2505] lr: 5.0000e-04 eta: 1 day, 1:39:13 time: 0.9251 data_time: 0.2492 memory: 32703 grad_norm: 19.9879 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4841 loss: 1.4841 2022/07/30 03:11:04 - mmengine - INFO - Epoch(train) [22][260/2505] lr: 5.0000e-04 eta: 1 day, 1:38:56 time: 1.0993 data_time: 0.3532 memory: 32703 grad_norm: 19.2319 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.2510 loss: 1.2510 2022/07/30 03:11:23 - mmengine - INFO - Epoch(train) [22][280/2505] lr: 5.0000e-04 eta: 1 day, 1:38:34 time: 0.9287 data_time: 0.1733 memory: 32703 grad_norm: 18.6565 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.4000 loss: 1.4000 2022/07/30 03:11:44 - mmengine - INFO - Epoch(train) [22][300/2505] lr: 5.0000e-04 eta: 1 day, 1:38:15 time: 1.0443 data_time: 0.1675 memory: 32703 grad_norm: 19.4261 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3681 loss: 1.3681 2022/07/30 03:12:03 - mmengine - INFO - Epoch(train) [22][320/2505] lr: 5.0000e-04 eta: 1 day, 1:37:54 time: 0.9650 data_time: 0.0277 memory: 32703 grad_norm: 20.3048 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3550 loss: 1.3550 2022/07/30 03:12:24 - mmengine - INFO - Epoch(train) [22][340/2505] lr: 5.0000e-04 eta: 1 day, 1:37:36 time: 1.0434 data_time: 0.0306 memory: 32703 grad_norm: 20.4738 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.6201 loss: 1.6201 2022/07/30 03:12:41 - mmengine - INFO - Epoch(train) [22][360/2505] lr: 5.0000e-04 eta: 1 day, 1:37:10 time: 0.8336 data_time: 0.0281 memory: 32703 grad_norm: 18.9067 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5256 loss: 1.5256 2022/07/30 03:13:04 - mmengine - INFO - Epoch(train) [22][380/2505] lr: 5.0000e-04 eta: 1 day, 1:36:55 time: 1.1545 data_time: 0.0294 memory: 32703 grad_norm: 20.2444 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5489 loss: 1.5489 2022/07/30 03:13:17 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 03:13:20 - mmengine - INFO - Epoch(train) [22][400/2505] lr: 5.0000e-04 eta: 1 day, 1:36:29 time: 0.8037 data_time: 0.0246 memory: 32703 grad_norm: 20.7602 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2829 loss: 1.2829 2022/07/30 03:13:40 - mmengine - INFO - Epoch(train) [22][420/2505] lr: 5.0000e-04 eta: 1 day, 1:36:09 time: 1.0156 data_time: 0.0277 memory: 32703 grad_norm: 20.2355 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7327 loss: 1.7327 2022/07/30 03:13:59 - mmengine - INFO - Epoch(train) [22][440/2505] lr: 5.0000e-04 eta: 1 day, 1:35:47 time: 0.9270 data_time: 0.0313 memory: 32703 grad_norm: 20.9663 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5156 loss: 1.5156 2022/07/30 03:14:21 - mmengine - INFO - Epoch(train) [22][460/2505] lr: 5.0000e-04 eta: 1 day, 1:35:30 time: 1.0811 data_time: 0.0272 memory: 32703 grad_norm: 19.4375 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3207 loss: 1.3207 2022/07/30 03:14:39 - mmengine - INFO - Epoch(train) [22][480/2505] lr: 5.0000e-04 eta: 1 day, 1:35:08 time: 0.9370 data_time: 0.0424 memory: 32703 grad_norm: 19.4072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5478 loss: 1.5478 2022/07/30 03:15:01 - mmengine - INFO - Epoch(train) [22][500/2505] lr: 5.0000e-04 eta: 1 day, 1:34:50 time: 1.0639 data_time: 0.0278 memory: 32703 grad_norm: 18.8187 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.5822 loss: 1.5822 2022/07/30 03:15:21 - mmengine - INFO - Epoch(train) [22][520/2505] lr: 5.0000e-04 eta: 1 day, 1:34:31 time: 1.0265 data_time: 0.0371 memory: 32703 grad_norm: 20.2528 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4500 loss: 1.4500 2022/07/30 03:15:41 - mmengine - INFO - Epoch(train) [22][540/2505] lr: 5.0000e-04 eta: 1 day, 1:34:12 time: 1.0242 data_time: 0.0275 memory: 32703 grad_norm: 20.2224 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3725 loss: 1.3725 2022/07/30 03:15:59 - mmengine - INFO - Epoch(train) [22][560/2505] lr: 5.0000e-04 eta: 1 day, 1:33:48 time: 0.8926 data_time: 0.0244 memory: 32703 grad_norm: 19.3425 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6794 loss: 1.6794 2022/07/30 03:16:20 - mmengine - INFO - Epoch(train) [22][580/2505] lr: 5.0000e-04 eta: 1 day, 1:33:29 time: 1.0245 data_time: 0.0295 memory: 32703 grad_norm: 19.4465 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4891 loss: 1.4891 2022/07/30 03:16:38 - mmengine - INFO - Epoch(train) [22][600/2505] lr: 5.0000e-04 eta: 1 day, 1:33:06 time: 0.9063 data_time: 0.0261 memory: 32703 grad_norm: 20.4199 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5810 loss: 1.5810 2022/07/30 03:16:59 - mmengine - INFO - Epoch(train) [22][620/2505] lr: 5.0000e-04 eta: 1 day, 1:32:47 time: 1.0286 data_time: 0.0288 memory: 32703 grad_norm: 20.3771 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.5233 loss: 1.5233 2022/07/30 03:17:19 - mmengine - INFO - Epoch(train) [22][640/2505] lr: 5.0000e-04 eta: 1 day, 1:32:27 time: 1.0090 data_time: 0.0282 memory: 32703 grad_norm: 19.8458 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.3789 loss: 1.3789 2022/07/30 03:17:39 - mmengine - INFO - Epoch(train) [22][660/2505] lr: 5.0000e-04 eta: 1 day, 1:32:07 time: 0.9926 data_time: 0.0296 memory: 32703 grad_norm: 20.5542 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3404 loss: 1.3404 2022/07/30 03:17:58 - mmengine - INFO - Epoch(train) [22][680/2505] lr: 5.0000e-04 eta: 1 day, 1:31:45 time: 0.9561 data_time: 0.0283 memory: 32703 grad_norm: 21.4922 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2794 loss: 1.2794 2022/07/30 03:18:18 - mmengine - INFO - Epoch(train) [22][700/2505] lr: 5.0000e-04 eta: 1 day, 1:31:25 time: 0.9983 data_time: 0.0295 memory: 32703 grad_norm: 19.6087 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.3667 loss: 1.3667 2022/07/30 03:18:36 - mmengine - INFO - Epoch(train) [22][720/2505] lr: 5.0000e-04 eta: 1 day, 1:31:03 time: 0.9360 data_time: 0.0293 memory: 32703 grad_norm: 19.6926 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4339 loss: 1.4339 2022/07/30 03:18:56 - mmengine - INFO - Epoch(train) [22][740/2505] lr: 5.0000e-04 eta: 1 day, 1:30:43 time: 0.9968 data_time: 0.0282 memory: 32703 grad_norm: 19.6803 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.4968 loss: 1.4968 2022/07/30 03:19:15 - mmengine - INFO - Epoch(train) [22][760/2505] lr: 5.0000e-04 eta: 1 day, 1:30:22 time: 0.9515 data_time: 0.0257 memory: 32703 grad_norm: 19.6639 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3536 loss: 1.3536 2022/07/30 03:19:37 - mmengine - INFO - Epoch(train) [22][780/2505] lr: 5.0000e-04 eta: 1 day, 1:30:04 time: 1.0576 data_time: 0.0336 memory: 32703 grad_norm: 19.5538 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3235 loss: 1.3235 2022/07/30 03:19:55 - mmengine - INFO - Epoch(train) [22][800/2505] lr: 5.0000e-04 eta: 1 day, 1:29:42 time: 0.9374 data_time: 0.0262 memory: 32703 grad_norm: 19.6658 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6395 loss: 1.6395 2022/07/30 03:20:17 - mmengine - INFO - Epoch(train) [22][820/2505] lr: 5.0000e-04 eta: 1 day, 1:29:24 time: 1.0649 data_time: 0.0932 memory: 32703 grad_norm: 20.3206 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3103 loss: 1.3103 2022/07/30 03:20:35 - mmengine - INFO - Epoch(train) [22][840/2505] lr: 5.0000e-04 eta: 1 day, 1:29:01 time: 0.9158 data_time: 0.1458 memory: 32703 grad_norm: 20.2812 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.7071 loss: 1.7071 2022/07/30 03:20:55 - mmengine - INFO - Epoch(train) [22][860/2505] lr: 5.0000e-04 eta: 1 day, 1:28:42 time: 1.0257 data_time: 0.3016 memory: 32703 grad_norm: 19.7750 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2968 loss: 1.2968 2022/07/30 03:21:15 - mmengine - INFO - Epoch(train) [22][880/2505] lr: 5.0000e-04 eta: 1 day, 1:28:21 time: 0.9738 data_time: 0.2699 memory: 32703 grad_norm: 20.5022 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2334 loss: 1.2334 2022/07/30 03:21:35 - mmengine - INFO - Epoch(train) [22][900/2505] lr: 5.0000e-04 eta: 1 day, 1:28:02 time: 1.0254 data_time: 0.3224 memory: 32703 grad_norm: 20.5029 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4146 loss: 1.4146 2022/07/30 03:21:54 - mmengine - INFO - Epoch(train) [22][920/2505] lr: 5.0000e-04 eta: 1 day, 1:27:40 time: 0.9321 data_time: 0.2957 memory: 32703 grad_norm: 19.9721 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4356 loss: 1.4356 2022/07/30 03:22:15 - mmengine - INFO - Epoch(train) [22][940/2505] lr: 5.0000e-04 eta: 1 day, 1:27:21 time: 1.0373 data_time: 0.3091 memory: 32703 grad_norm: 19.8110 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3867 loss: 1.3867 2022/07/30 03:22:32 - mmengine - INFO - Epoch(train) [22][960/2505] lr: 5.0000e-04 eta: 1 day, 1:26:57 time: 0.8736 data_time: 0.1848 memory: 32703 grad_norm: 19.6334 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4053 loss: 1.4053 2022/07/30 03:22:54 - mmengine - INFO - Epoch(train) [22][980/2505] lr: 5.0000e-04 eta: 1 day, 1:26:40 time: 1.0943 data_time: 0.2834 memory: 32703 grad_norm: 19.5336 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5404 loss: 1.5404 2022/07/30 03:23:13 - mmengine - INFO - Epoch(train) [22][1000/2505] lr: 5.0000e-04 eta: 1 day, 1:26:18 time: 0.9288 data_time: 0.2541 memory: 32703 grad_norm: 19.7194 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4943 loss: 1.4943 2022/07/30 03:23:34 - mmengine - INFO - Epoch(train) [22][1020/2505] lr: 5.0000e-04 eta: 1 day, 1:26:00 time: 1.0742 data_time: 0.4714 memory: 32703 grad_norm: 19.2993 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1074 loss: 1.1074 2022/07/30 03:23:52 - mmengine - INFO - Epoch(train) [22][1040/2505] lr: 5.0000e-04 eta: 1 day, 1:25:37 time: 0.9001 data_time: 0.2856 memory: 32703 grad_norm: 20.3655 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.5171 loss: 1.5171 2022/07/30 03:24:13 - mmengine - INFO - Epoch(train) [22][1060/2505] lr: 5.0000e-04 eta: 1 day, 1:25:18 time: 1.0339 data_time: 0.4308 memory: 32703 grad_norm: 19.5703 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3121 loss: 1.3121 2022/07/30 03:24:31 - mmengine - INFO - Epoch(train) [22][1080/2505] lr: 5.0000e-04 eta: 1 day, 1:24:56 time: 0.9200 data_time: 0.3226 memory: 32703 grad_norm: 18.7274 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3905 loss: 1.3905 2022/07/30 03:24:54 - mmengine - INFO - Epoch(train) [22][1100/2505] lr: 5.0000e-04 eta: 1 day, 1:24:40 time: 1.1116 data_time: 0.4879 memory: 32703 grad_norm: 19.5397 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7591 loss: 1.7591 2022/07/30 03:25:11 - mmengine - INFO - Epoch(train) [22][1120/2505] lr: 5.0000e-04 eta: 1 day, 1:24:15 time: 0.8578 data_time: 0.2595 memory: 32703 grad_norm: 20.3451 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5288 loss: 1.5288 2022/07/30 03:25:32 - mmengine - INFO - Epoch(train) [22][1140/2505] lr: 5.0000e-04 eta: 1 day, 1:23:57 time: 1.0640 data_time: 0.4563 memory: 32703 grad_norm: 19.6047 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3448 loss: 1.3448 2022/07/30 03:25:50 - mmengine - INFO - Epoch(train) [22][1160/2505] lr: 5.0000e-04 eta: 1 day, 1:23:33 time: 0.8921 data_time: 0.2758 memory: 32703 grad_norm: 19.7413 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6189 loss: 1.6189 2022/07/30 03:26:10 - mmengine - INFO - Epoch(train) [22][1180/2505] lr: 5.0000e-04 eta: 1 day, 1:23:14 time: 1.0249 data_time: 0.1566 memory: 32703 grad_norm: 19.5608 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4725 loss: 1.4725 2022/07/30 03:26:29 - mmengine - INFO - Epoch(train) [22][1200/2505] lr: 5.0000e-04 eta: 1 day, 1:22:52 time: 0.9218 data_time: 0.0488 memory: 32703 grad_norm: 20.4763 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6732 loss: 1.6732 2022/07/30 03:26:50 - mmengine - INFO - Epoch(train) [22][1220/2505] lr: 5.0000e-04 eta: 1 day, 1:22:34 time: 1.0749 data_time: 0.0326 memory: 32703 grad_norm: 20.7311 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5154 loss: 1.5154 2022/07/30 03:27:09 - mmengine - INFO - Epoch(train) [22][1240/2505] lr: 5.0000e-04 eta: 1 day, 1:22:12 time: 0.9341 data_time: 0.0308 memory: 32703 grad_norm: 19.4248 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4972 loss: 1.4972 2022/07/30 03:27:31 - mmengine - INFO - Epoch(train) [22][1260/2505] lr: 5.0000e-04 eta: 1 day, 1:21:55 time: 1.0732 data_time: 0.0277 memory: 32703 grad_norm: 19.8550 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4334 loss: 1.4334 2022/07/30 03:27:49 - mmengine - INFO - Epoch(train) [22][1280/2505] lr: 5.0000e-04 eta: 1 day, 1:21:32 time: 0.9338 data_time: 0.0300 memory: 32703 grad_norm: 19.8380 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2529 loss: 1.2529 2022/07/30 03:28:10 - mmengine - INFO - Epoch(train) [22][1300/2505] lr: 5.0000e-04 eta: 1 day, 1:21:15 time: 1.0634 data_time: 0.0326 memory: 32703 grad_norm: 19.1327 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5865 loss: 1.5865 2022/07/30 03:28:29 - mmengine - INFO - Epoch(train) [22][1320/2505] lr: 5.0000e-04 eta: 1 day, 1:20:53 time: 0.9387 data_time: 0.0313 memory: 32703 grad_norm: 20.3548 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4369 loss: 1.4369 2022/07/30 03:28:50 - mmengine - INFO - Epoch(train) [22][1340/2505] lr: 5.0000e-04 eta: 1 day, 1:20:33 time: 1.0170 data_time: 0.0302 memory: 32703 grad_norm: 19.6510 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4832 loss: 1.4832 2022/07/30 03:29:08 - mmengine - INFO - Epoch(train) [22][1360/2505] lr: 5.0000e-04 eta: 1 day, 1:20:12 time: 0.9448 data_time: 0.0326 memory: 32703 grad_norm: 19.9365 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4246 loss: 1.4246 2022/07/30 03:29:29 - mmengine - INFO - Epoch(train) [22][1380/2505] lr: 5.0000e-04 eta: 1 day, 1:19:53 time: 1.0345 data_time: 0.0301 memory: 32703 grad_norm: 20.3014 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3533 loss: 1.3533 2022/07/30 03:29:44 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 03:29:47 - mmengine - INFO - Epoch(train) [22][1400/2505] lr: 5.0000e-04 eta: 1 day, 1:19:29 time: 0.8781 data_time: 0.0292 memory: 32703 grad_norm: 19.6886 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5031 loss: 1.5031 2022/07/30 03:30:08 - mmengine - INFO - Epoch(train) [22][1420/2505] lr: 5.0000e-04 eta: 1 day, 1:19:12 time: 1.0822 data_time: 0.0277 memory: 32703 grad_norm: 19.9936 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2999 loss: 1.2999 2022/07/30 03:30:27 - mmengine - INFO - Epoch(train) [22][1440/2505] lr: 5.0000e-04 eta: 1 day, 1:18:50 time: 0.9437 data_time: 0.0262 memory: 32703 grad_norm: 19.6899 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6892 loss: 1.6892 2022/07/30 03:30:48 - mmengine - INFO - Epoch(train) [22][1460/2505] lr: 5.0000e-04 eta: 1 day, 1:18:31 time: 1.0373 data_time: 0.0323 memory: 32703 grad_norm: 19.5043 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3060 loss: 1.3060 2022/07/30 03:31:07 - mmengine - INFO - Epoch(train) [22][1480/2505] lr: 5.0000e-04 eta: 1 day, 1:18:09 time: 0.9321 data_time: 0.0286 memory: 32703 grad_norm: 19.9342 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5826 loss: 1.5826 2022/07/30 03:31:28 - mmengine - INFO - Epoch(train) [22][1500/2505] lr: 5.0000e-04 eta: 1 day, 1:17:50 time: 1.0458 data_time: 0.0307 memory: 32703 grad_norm: 20.2572 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1211 loss: 1.1211 2022/07/30 03:31:46 - mmengine - INFO - Epoch(train) [22][1520/2505] lr: 5.0000e-04 eta: 1 day, 1:17:27 time: 0.9025 data_time: 0.0284 memory: 32703 grad_norm: 20.8687 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5565 loss: 1.5565 2022/07/30 03:32:06 - mmengine - INFO - Epoch(train) [22][1540/2505] lr: 5.0000e-04 eta: 1 day, 1:17:08 time: 1.0125 data_time: 0.0314 memory: 32703 grad_norm: 20.1784 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3554 loss: 1.3554 2022/07/30 03:32:24 - mmengine - INFO - Epoch(train) [22][1560/2505] lr: 5.0000e-04 eta: 1 day, 1:16:44 time: 0.8928 data_time: 0.0283 memory: 32703 grad_norm: 19.8603 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.2664 loss: 1.2664 2022/07/30 03:32:45 - mmengine - INFO - Epoch(train) [22][1580/2505] lr: 5.0000e-04 eta: 1 day, 1:16:26 time: 1.0441 data_time: 0.0276 memory: 32703 grad_norm: 20.3585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4095 loss: 1.4095 2022/07/30 03:33:03 - mmengine - INFO - Epoch(train) [22][1600/2505] lr: 5.0000e-04 eta: 1 day, 1:16:04 time: 0.9373 data_time: 0.0290 memory: 32703 grad_norm: 20.4947 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4654 loss: 1.4654 2022/07/30 03:33:25 - mmengine - INFO - Epoch(train) [22][1620/2505] lr: 5.0000e-04 eta: 1 day, 1:15:46 time: 1.0625 data_time: 0.0278 memory: 32703 grad_norm: 18.9407 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5735 loss: 1.5735 2022/07/30 03:33:42 - mmengine - INFO - Epoch(train) [22][1640/2505] lr: 5.0000e-04 eta: 1 day, 1:15:22 time: 0.8820 data_time: 0.0302 memory: 32703 grad_norm: 20.2110 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.2279 loss: 1.2279 2022/07/30 03:34:04 - mmengine - INFO - Epoch(train) [22][1660/2505] lr: 5.0000e-04 eta: 1 day, 1:15:06 time: 1.1043 data_time: 0.0331 memory: 32703 grad_norm: 20.5313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6046 loss: 1.6046 2022/07/30 03:34:22 - mmengine - INFO - Epoch(train) [22][1680/2505] lr: 5.0000e-04 eta: 1 day, 1:14:42 time: 0.9001 data_time: 0.0332 memory: 32703 grad_norm: 19.2235 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4178 loss: 1.4178 2022/07/30 03:34:43 - mmengine - INFO - Epoch(train) [22][1700/2505] lr: 5.0000e-04 eta: 1 day, 1:14:23 time: 1.0245 data_time: 0.0274 memory: 32703 grad_norm: 19.5921 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5299 loss: 1.5299 2022/07/30 03:35:01 - mmengine - INFO - Epoch(train) [22][1720/2505] lr: 5.0000e-04 eta: 1 day, 1:14:01 time: 0.9202 data_time: 0.0288 memory: 32703 grad_norm: 20.7579 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4964 loss: 1.4964 2022/07/30 03:35:22 - mmengine - INFO - Epoch(train) [22][1740/2505] lr: 5.0000e-04 eta: 1 day, 1:13:42 time: 1.0473 data_time: 0.0310 memory: 32703 grad_norm: 20.1593 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3190 loss: 1.3190 2022/07/30 03:35:41 - mmengine - INFO - Epoch(train) [22][1760/2505] lr: 5.0000e-04 eta: 1 day, 1:13:20 time: 0.9181 data_time: 0.0276 memory: 32703 grad_norm: 19.7050 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2354 loss: 1.2354 2022/07/30 03:36:03 - mmengine - INFO - Epoch(train) [22][1780/2505] lr: 5.0000e-04 eta: 1 day, 1:13:03 time: 1.1150 data_time: 0.0266 memory: 32703 grad_norm: 20.2419 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3575 loss: 1.3575 2022/07/30 03:36:21 - mmengine - INFO - Epoch(train) [22][1800/2505] lr: 5.0000e-04 eta: 1 day, 1:12:40 time: 0.8930 data_time: 0.0344 memory: 32703 grad_norm: 19.7985 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6114 loss: 1.6114 2022/07/30 03:36:42 - mmengine - INFO - Epoch(train) [22][1820/2505] lr: 5.0000e-04 eta: 1 day, 1:12:22 time: 1.0606 data_time: 0.0285 memory: 32703 grad_norm: 19.7805 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3926 loss: 1.3926 2022/07/30 03:37:00 - mmengine - INFO - Epoch(train) [22][1840/2505] lr: 5.0000e-04 eta: 1 day, 1:12:00 time: 0.9220 data_time: 0.0284 memory: 32703 grad_norm: 19.0755 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5296 loss: 1.5296 2022/07/30 03:37:20 - mmengine - INFO - Epoch(train) [22][1860/2505] lr: 5.0000e-04 eta: 1 day, 1:11:39 time: 0.9960 data_time: 0.0265 memory: 32703 grad_norm: 20.3086 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3634 loss: 1.3634 2022/07/30 03:37:38 - mmengine - INFO - Epoch(train) [22][1880/2505] lr: 5.0000e-04 eta: 1 day, 1:11:16 time: 0.8921 data_time: 0.0279 memory: 32703 grad_norm: 19.8934 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3906 loss: 1.3906 2022/07/30 03:38:00 - mmengine - INFO - Epoch(train) [22][1900/2505] lr: 5.0000e-04 eta: 1 day, 1:10:59 time: 1.1035 data_time: 0.0275 memory: 32703 grad_norm: 20.1725 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5186 loss: 1.5186 2022/07/30 03:38:19 - mmengine - INFO - Epoch(train) [22][1920/2505] lr: 5.0000e-04 eta: 1 day, 1:10:38 time: 0.9490 data_time: 0.0308 memory: 32703 grad_norm: 20.0429 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.6135 loss: 1.6135 2022/07/30 03:38:40 - mmengine - INFO - Epoch(train) [22][1940/2505] lr: 5.0000e-04 eta: 1 day, 1:10:20 time: 1.0565 data_time: 0.0302 memory: 32703 grad_norm: 20.7372 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3609 loss: 1.3609 2022/07/30 03:38:58 - mmengine - INFO - Epoch(train) [22][1960/2505] lr: 5.0000e-04 eta: 1 day, 1:09:56 time: 0.8934 data_time: 0.0282 memory: 32703 grad_norm: 19.2759 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5259 loss: 1.5259 2022/07/30 03:39:19 - mmengine - INFO - Epoch(train) [22][1980/2505] lr: 5.0000e-04 eta: 1 day, 1:09:38 time: 1.0634 data_time: 0.0281 memory: 32703 grad_norm: 20.1766 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6759 loss: 1.6759 2022/07/30 03:39:37 - mmengine - INFO - Epoch(train) [22][2000/2505] lr: 5.0000e-04 eta: 1 day, 1:09:15 time: 0.8962 data_time: 0.0268 memory: 32703 grad_norm: 20.0544 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5448 loss: 1.5448 2022/07/30 03:39:59 - mmengine - INFO - Epoch(train) [22][2020/2505] lr: 5.0000e-04 eta: 1 day, 1:08:57 time: 1.0570 data_time: 0.0258 memory: 32703 grad_norm: 19.7488 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3730 loss: 1.3730 2022/07/30 03:40:18 - mmengine - INFO - Epoch(train) [22][2040/2505] lr: 5.0000e-04 eta: 1 day, 1:08:36 time: 0.9555 data_time: 0.0262 memory: 32703 grad_norm: 20.0372 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.4923 loss: 1.4923 2022/07/30 03:40:39 - mmengine - INFO - Epoch(train) [22][2060/2505] lr: 5.0000e-04 eta: 1 day, 1:08:17 time: 1.0416 data_time: 0.0324 memory: 32703 grad_norm: 19.9252 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5559 loss: 1.5559 2022/07/30 03:40:57 - mmengine - INFO - Epoch(train) [22][2080/2505] lr: 5.0000e-04 eta: 1 day, 1:07:55 time: 0.9254 data_time: 0.0266 memory: 32703 grad_norm: 19.2686 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4734 loss: 1.4734 2022/07/30 03:41:18 - mmengine - INFO - Epoch(train) [22][2100/2505] lr: 5.0000e-04 eta: 1 day, 1:07:36 time: 1.0244 data_time: 0.0329 memory: 32703 grad_norm: 19.9345 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3833 loss: 1.3833 2022/07/30 03:41:36 - mmengine - INFO - Epoch(train) [22][2120/2505] lr: 5.0000e-04 eta: 1 day, 1:07:14 time: 0.9440 data_time: 0.0275 memory: 32703 grad_norm: 20.2047 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6332 loss: 1.6332 2022/07/30 03:41:58 - mmengine - INFO - Epoch(train) [22][2140/2505] lr: 5.0000e-04 eta: 1 day, 1:06:56 time: 1.0597 data_time: 0.0297 memory: 32703 grad_norm: 19.7063 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4875 loss: 1.4875 2022/07/30 03:42:16 - mmengine - INFO - Epoch(train) [22][2160/2505] lr: 5.0000e-04 eta: 1 day, 1:06:33 time: 0.9176 data_time: 0.0276 memory: 32703 grad_norm: 19.6264 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2434 loss: 1.2434 2022/07/30 03:42:38 - mmengine - INFO - Epoch(train) [22][2180/2505] lr: 5.0000e-04 eta: 1 day, 1:06:16 time: 1.0839 data_time: 0.0320 memory: 32703 grad_norm: 19.7535 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5054 loss: 1.5054 2022/07/30 03:42:55 - mmengine - INFO - Epoch(train) [22][2200/2505] lr: 5.0000e-04 eta: 1 day, 1:05:52 time: 0.8619 data_time: 0.0308 memory: 32703 grad_norm: 19.2019 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4017 loss: 1.4017 2022/07/30 03:43:17 - mmengine - INFO - Epoch(train) [22][2220/2505] lr: 5.0000e-04 eta: 1 day, 1:05:35 time: 1.1007 data_time: 0.0269 memory: 32703 grad_norm: 19.8322 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5049 loss: 1.5049 2022/07/30 03:43:34 - mmengine - INFO - Epoch(train) [22][2240/2505] lr: 5.0000e-04 eta: 1 day, 1:05:10 time: 0.8355 data_time: 0.0290 memory: 32703 grad_norm: 20.1331 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4988 loss: 1.4988 2022/07/30 03:43:54 - mmengine - INFO - Epoch(train) [22][2260/2505] lr: 5.0000e-04 eta: 1 day, 1:04:50 time: 1.0201 data_time: 0.0281 memory: 32703 grad_norm: 19.2143 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6616 loss: 1.6616 2022/07/30 03:44:12 - mmengine - INFO - Epoch(train) [22][2280/2505] lr: 5.0000e-04 eta: 1 day, 1:04:28 time: 0.9202 data_time: 0.0270 memory: 32703 grad_norm: 19.8337 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2835 loss: 1.2835 2022/07/30 03:44:33 - mmengine - INFO - Epoch(train) [22][2300/2505] lr: 5.0000e-04 eta: 1 day, 1:04:09 time: 1.0233 data_time: 0.0280 memory: 32703 grad_norm: 20.0416 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2834 loss: 1.2834 2022/07/30 03:44:53 - mmengine - INFO - Epoch(train) [22][2320/2505] lr: 5.0000e-04 eta: 1 day, 1:03:48 time: 0.9803 data_time: 0.0286 memory: 32703 grad_norm: 19.8128 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3652 loss: 1.3652 2022/07/30 03:45:13 - mmengine - INFO - Epoch(train) [22][2340/2505] lr: 5.0000e-04 eta: 1 day, 1:03:28 time: 1.0062 data_time: 0.0265 memory: 32703 grad_norm: 19.5553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4421 loss: 1.4421 2022/07/30 03:45:33 - mmengine - INFO - Epoch(train) [22][2360/2505] lr: 5.0000e-04 eta: 1 day, 1:03:09 time: 1.0053 data_time: 0.0308 memory: 32703 grad_norm: 19.9376 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4826 loss: 1.4826 2022/07/30 03:45:53 - mmengine - INFO - Epoch(train) [22][2380/2505] lr: 5.0000e-04 eta: 1 day, 1:02:50 time: 1.0229 data_time: 0.0303 memory: 32703 grad_norm: 19.2230 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3901 loss: 1.3901 2022/07/30 03:46:08 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 03:46:13 - mmengine - INFO - Epoch(train) [22][2400/2505] lr: 5.0000e-04 eta: 1 day, 1:02:29 time: 0.9758 data_time: 0.0291 memory: 32703 grad_norm: 19.4962 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3455 loss: 1.3455 2022/07/30 03:46:31 - mmengine - INFO - Epoch(train) [22][2420/2505] lr: 5.0000e-04 eta: 1 day, 1:02:06 time: 0.9210 data_time: 0.0260 memory: 32703 grad_norm: 18.5076 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.4212 loss: 1.4212 2022/07/30 03:46:52 - mmengine - INFO - Epoch(train) [22][2440/2505] lr: 5.0000e-04 eta: 1 day, 1:01:48 time: 1.0474 data_time: 0.0275 memory: 32703 grad_norm: 19.9331 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5600 loss: 1.5600 2022/07/30 03:47:11 - mmengine - INFO - Epoch(train) [22][2460/2505] lr: 5.0000e-04 eta: 1 day, 1:01:26 time: 0.9318 data_time: 0.0319 memory: 32703 grad_norm: 20.3277 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4143 loss: 1.4143 2022/07/30 03:47:31 - mmengine - INFO - Epoch(train) [22][2480/2505] lr: 5.0000e-04 eta: 1 day, 1:01:07 time: 1.0218 data_time: 0.0291 memory: 32703 grad_norm: 18.9510 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5289 loss: 1.5289 2022/07/30 03:47:49 - mmengine - INFO - Epoch(train) [22][2500/2505] lr: 5.0000e-04 eta: 1 day, 1:00:44 time: 0.9119 data_time: 0.0298 memory: 32703 grad_norm: 19.1764 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3976 loss: 1.3976 2022/07/30 03:47:52 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 03:47:52 - mmengine - INFO - Epoch(train) [22][2505/2505] lr: 5.0000e-04 eta: 1 day, 1:00:44 time: 0.7839 data_time: 0.0188 memory: 32703 grad_norm: 20.2656 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3503 loss: 1.3503 2022/07/30 03:47:52 - mmengine - INFO - Saving checkpoint at 22 epochs 2022/07/30 03:48:20 - mmengine - INFO - Epoch(train) [23][20/2505] lr: 5.0000e-04 eta: 1 day, 1:00:20 time: 1.2869 data_time: 0.6515 memory: 32703 grad_norm: 20.1991 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1832 loss: 1.1832 2022/07/30 03:48:39 - mmengine - INFO - Epoch(train) [23][40/2505] lr: 5.0000e-04 eta: 1 day, 0:59:58 time: 0.9329 data_time: 0.3497 memory: 32703 grad_norm: 19.5608 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4999 loss: 1.4999 2022/07/30 03:49:00 - mmengine - INFO - Epoch(train) [23][60/2505] lr: 5.0000e-04 eta: 1 day, 0:59:40 time: 1.0542 data_time: 0.4300 memory: 32703 grad_norm: 18.6262 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.2818 loss: 1.2818 2022/07/30 03:49:17 - mmengine - INFO - Epoch(train) [23][80/2505] lr: 5.0000e-04 eta: 1 day, 0:59:16 time: 0.8878 data_time: 0.2735 memory: 32703 grad_norm: 19.6951 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3994 loss: 1.3994 2022/07/30 03:49:39 - mmengine - INFO - Epoch(train) [23][100/2505] lr: 5.0000e-04 eta: 1 day, 0:58:58 time: 1.0610 data_time: 0.4038 memory: 32703 grad_norm: 20.0642 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3121 loss: 1.3121 2022/07/30 03:49:57 - mmengine - INFO - Epoch(train) [23][120/2505] lr: 5.0000e-04 eta: 1 day, 0:58:36 time: 0.9324 data_time: 0.3273 memory: 32703 grad_norm: 19.5486 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5213 loss: 1.5213 2022/07/30 03:50:19 - mmengine - INFO - Epoch(train) [23][140/2505] lr: 5.0000e-04 eta: 1 day, 0:58:19 time: 1.0843 data_time: 0.4509 memory: 32703 grad_norm: 20.1285 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4234 loss: 1.4234 2022/07/30 03:50:37 - mmengine - INFO - Epoch(train) [23][160/2505] lr: 5.0000e-04 eta: 1 day, 0:57:56 time: 0.9180 data_time: 0.2910 memory: 32703 grad_norm: 19.2586 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3478 loss: 1.3478 2022/07/30 03:51:00 - mmengine - INFO - Epoch(train) [23][180/2505] lr: 5.0000e-04 eta: 1 day, 0:57:40 time: 1.1066 data_time: 0.3090 memory: 32703 grad_norm: 19.0053 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5168 loss: 1.5168 2022/07/30 03:51:17 - mmengine - INFO - Epoch(train) [23][200/2505] lr: 5.0000e-04 eta: 1 day, 0:57:16 time: 0.8885 data_time: 0.1455 memory: 32703 grad_norm: 19.8162 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4942 loss: 1.4942 2022/07/30 03:51:39 - mmengine - INFO - Epoch(train) [23][220/2505] lr: 5.0000e-04 eta: 1 day, 0:57:00 time: 1.1006 data_time: 0.2204 memory: 32703 grad_norm: 19.9299 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4028 loss: 1.4028 2022/07/30 03:51:57 - mmengine - INFO - Epoch(train) [23][240/2505] lr: 5.0000e-04 eta: 1 day, 0:56:36 time: 0.8747 data_time: 0.1547 memory: 32703 grad_norm: 20.2146 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3605 loss: 1.3605 2022/07/30 03:52:18 - mmengine - INFO - Epoch(train) [23][260/2505] lr: 5.0000e-04 eta: 1 day, 0:56:18 time: 1.0651 data_time: 0.3603 memory: 32703 grad_norm: 19.5229 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5596 loss: 1.5596 2022/07/30 03:52:36 - mmengine - INFO - Epoch(train) [23][280/2505] lr: 5.0000e-04 eta: 1 day, 0:55:54 time: 0.8851 data_time: 0.2613 memory: 32703 grad_norm: 19.6568 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2984 loss: 1.2984 2022/07/30 03:52:57 - mmengine - INFO - Epoch(train) [23][300/2505] lr: 5.0000e-04 eta: 1 day, 0:55:37 time: 1.0778 data_time: 0.2876 memory: 32703 grad_norm: 20.3877 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3477 loss: 1.3477 2022/07/30 03:53:16 - mmengine - INFO - Epoch(train) [23][320/2505] lr: 5.0000e-04 eta: 1 day, 0:55:14 time: 0.9202 data_time: 0.2602 memory: 32703 grad_norm: 19.2557 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3528 loss: 1.3528 2022/07/30 03:53:38 - mmengine - INFO - Epoch(train) [23][340/2505] lr: 5.0000e-04 eta: 1 day, 0:54:57 time: 1.0897 data_time: 0.4549 memory: 32703 grad_norm: 19.9181 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3019 loss: 1.3019 2022/07/30 03:53:56 - mmengine - INFO - Epoch(train) [23][360/2505] lr: 5.0000e-04 eta: 1 day, 0:54:35 time: 0.9251 data_time: 0.3040 memory: 32703 grad_norm: 19.9235 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4401 loss: 1.4401 2022/07/30 03:54:18 - mmengine - INFO - Epoch(train) [23][380/2505] lr: 5.0000e-04 eta: 1 day, 0:54:19 time: 1.1117 data_time: 0.5034 memory: 32703 grad_norm: 19.6209 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2792 loss: 1.2792 2022/07/30 03:54:35 - mmengine - INFO - Epoch(train) [23][400/2505] lr: 5.0000e-04 eta: 1 day, 0:53:53 time: 0.8235 data_time: 0.2271 memory: 32703 grad_norm: 20.1003 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4193 loss: 1.4193 2022/07/30 03:54:56 - mmengine - INFO - Epoch(train) [23][420/2505] lr: 5.0000e-04 eta: 1 day, 0:53:35 time: 1.0576 data_time: 0.3703 memory: 32703 grad_norm: 19.5597 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.2525 loss: 1.2525 2022/07/30 03:55:14 - mmengine - INFO - Epoch(train) [23][440/2505] lr: 5.0000e-04 eta: 1 day, 0:53:13 time: 0.9258 data_time: 0.1838 memory: 32703 grad_norm: 19.1479 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.5049 loss: 1.5049 2022/07/30 03:55:36 - mmengine - INFO - Epoch(train) [23][460/2505] lr: 5.0000e-04 eta: 1 day, 0:52:55 time: 1.0620 data_time: 0.1739 memory: 32703 grad_norm: 18.7119 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5774 loss: 1.5774 2022/07/30 03:55:57 - mmengine - INFO - Epoch(train) [23][480/2505] lr: 5.0000e-04 eta: 1 day, 0:52:37 time: 1.0635 data_time: 0.4528 memory: 32703 grad_norm: 20.2022 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2771 loss: 1.2771 2022/07/30 03:56:16 - mmengine - INFO - Epoch(train) [23][500/2505] lr: 5.0000e-04 eta: 1 day, 0:52:16 time: 0.9754 data_time: 0.3584 memory: 32703 grad_norm: 19.4869 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3462 loss: 1.3462 2022/07/30 03:56:35 - mmengine - INFO - Epoch(train) [23][520/2505] lr: 5.0000e-04 eta: 1 day, 0:51:54 time: 0.9329 data_time: 0.3251 memory: 32703 grad_norm: 20.4049 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4277 loss: 1.4277 2022/07/30 03:56:55 - mmengine - INFO - Epoch(train) [23][540/2505] lr: 5.0000e-04 eta: 1 day, 0:51:35 time: 1.0076 data_time: 0.4062 memory: 32703 grad_norm: 19.4580 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2985 loss: 1.2985 2022/07/30 03:57:13 - mmengine - INFO - Epoch(train) [23][560/2505] lr: 5.0000e-04 eta: 1 day, 0:51:11 time: 0.8927 data_time: 0.3103 memory: 32703 grad_norm: 19.8394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3710 loss: 1.3710 2022/07/30 03:57:33 - mmengine - INFO - Epoch(train) [23][580/2505] lr: 5.0000e-04 eta: 1 day, 0:50:52 time: 1.0133 data_time: 0.3565 memory: 32703 grad_norm: 18.7102 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3569 loss: 1.3569 2022/07/30 03:57:53 - mmengine - INFO - Epoch(train) [23][600/2505] lr: 5.0000e-04 eta: 1 day, 0:50:31 time: 0.9820 data_time: 0.1159 memory: 32703 grad_norm: 19.2911 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2838 loss: 1.2838 2022/07/30 03:58:14 - mmengine - INFO - Epoch(train) [23][620/2505] lr: 5.0000e-04 eta: 1 day, 0:50:13 time: 1.0484 data_time: 0.0957 memory: 32703 grad_norm: 19.5361 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2371 loss: 1.2371 2022/07/30 03:58:33 - mmengine - INFO - Epoch(train) [23][640/2505] lr: 5.0000e-04 eta: 1 day, 0:49:51 time: 0.9371 data_time: 0.0949 memory: 32703 grad_norm: 20.7696 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3995 loss: 1.3995 2022/07/30 03:58:53 - mmengine - INFO - Epoch(train) [23][660/2505] lr: 5.0000e-04 eta: 1 day, 0:49:32 time: 1.0210 data_time: 0.0398 memory: 32703 grad_norm: 20.0646 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4085 loss: 1.4085 2022/07/30 03:59:12 - mmengine - INFO - Epoch(train) [23][680/2505] lr: 5.0000e-04 eta: 1 day, 0:49:11 time: 0.9655 data_time: 0.0655 memory: 32703 grad_norm: 20.6219 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3196 loss: 1.3196 2022/07/30 03:59:35 - mmengine - INFO - Epoch(train) [23][700/2505] lr: 5.0000e-04 eta: 1 day, 0:48:54 time: 1.1089 data_time: 0.0493 memory: 32703 grad_norm: 21.0740 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5160 loss: 1.5160 2022/07/30 03:59:53 - mmengine - INFO - Epoch(train) [23][720/2505] lr: 5.0000e-04 eta: 1 day, 0:48:31 time: 0.9081 data_time: 0.0325 memory: 32703 grad_norm: 19.5441 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4295 loss: 1.4295 2022/07/30 04:00:14 - mmengine - INFO - Epoch(train) [23][740/2505] lr: 5.0000e-04 eta: 1 day, 0:48:13 time: 1.0339 data_time: 0.0378 memory: 32703 grad_norm: 19.4286 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4481 loss: 1.4481 2022/07/30 04:00:32 - mmengine - INFO - Epoch(train) [23][760/2505] lr: 5.0000e-04 eta: 1 day, 0:47:51 time: 0.9387 data_time: 0.0607 memory: 32703 grad_norm: 20.0004 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4420 loss: 1.4420 2022/07/30 04:00:52 - mmengine - INFO - Epoch(train) [23][780/2505] lr: 5.0000e-04 eta: 1 day, 0:47:30 time: 0.9861 data_time: 0.0281 memory: 32703 grad_norm: 20.3815 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6482 loss: 1.6482 2022/07/30 04:01:11 - mmengine - INFO - Epoch(train) [23][800/2505] lr: 5.0000e-04 eta: 1 day, 0:47:09 time: 0.9714 data_time: 0.0306 memory: 32703 grad_norm: 21.3989 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6302 loss: 1.6302 2022/07/30 04:01:30 - mmengine - INFO - Epoch(train) [23][820/2505] lr: 5.0000e-04 eta: 1 day, 0:46:48 time: 0.9419 data_time: 0.0622 memory: 32703 grad_norm: 19.4505 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4610 loss: 1.4610 2022/07/30 04:01:50 - mmengine - INFO - Epoch(train) [23][840/2505] lr: 5.0000e-04 eta: 1 day, 0:46:28 time: 1.0090 data_time: 0.0359 memory: 32703 grad_norm: 19.1493 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3767 loss: 1.3767 2022/07/30 04:02:11 - mmengine - INFO - Epoch(train) [23][860/2505] lr: 5.0000e-04 eta: 1 day, 0:46:09 time: 1.0194 data_time: 0.0291 memory: 32703 grad_norm: 19.6382 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.2713 loss: 1.2713 2022/07/30 04:02:31 - mmengine - INFO - Epoch(train) [23][880/2505] lr: 5.0000e-04 eta: 1 day, 0:45:48 time: 0.9872 data_time: 0.0821 memory: 32703 grad_norm: 20.0303 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5747 loss: 1.5747 2022/07/30 04:02:40 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 04:02:49 - mmengine - INFO - Epoch(train) [23][900/2505] lr: 5.0000e-04 eta: 1 day, 0:45:26 time: 0.9338 data_time: 0.1247 memory: 32703 grad_norm: 19.8698 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4355 loss: 1.4355 2022/07/30 04:03:11 - mmengine - INFO - Epoch(train) [23][920/2505] lr: 5.0000e-04 eta: 1 day, 0:45:09 time: 1.0812 data_time: 0.1155 memory: 32703 grad_norm: 19.6111 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3647 loss: 1.3647 2022/07/30 04:03:30 - mmengine - INFO - Epoch(train) [23][940/2505] lr: 5.0000e-04 eta: 1 day, 0:44:48 time: 0.9735 data_time: 0.0328 memory: 32703 grad_norm: 19.4744 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7139 loss: 1.7139 2022/07/30 04:03:48 - mmengine - INFO - Epoch(train) [23][960/2505] lr: 5.0000e-04 eta: 1 day, 0:44:25 time: 0.9052 data_time: 0.0284 memory: 32703 grad_norm: 20.0979 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4536 loss: 1.4536 2022/07/30 04:04:10 - mmengine - INFO - Epoch(train) [23][980/2505] lr: 5.0000e-04 eta: 1 day, 0:44:07 time: 1.0532 data_time: 0.0330 memory: 32703 grad_norm: 20.7770 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5582 loss: 1.5582 2022/07/30 04:04:29 - mmengine - INFO - Epoch(train) [23][1000/2505] lr: 5.0000e-04 eta: 1 day, 0:43:47 time: 0.9966 data_time: 0.0290 memory: 32703 grad_norm: 19.9989 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1467 loss: 1.1467 2022/07/30 04:04:48 - mmengine - INFO - Epoch(train) [23][1020/2505] lr: 5.0000e-04 eta: 1 day, 0:43:26 time: 0.9489 data_time: 0.0281 memory: 32703 grad_norm: 20.2133 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4325 loss: 1.4325 2022/07/30 04:05:09 - mmengine - INFO - Epoch(train) [23][1040/2505] lr: 5.0000e-04 eta: 1 day, 0:43:07 time: 1.0238 data_time: 0.0263 memory: 32703 grad_norm: 19.7395 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4357 loss: 1.4357 2022/07/30 04:05:28 - mmengine - INFO - Epoch(train) [23][1060/2505] lr: 5.0000e-04 eta: 1 day, 0:42:45 time: 0.9396 data_time: 0.0427 memory: 32703 grad_norm: 20.5184 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3834 loss: 1.3834 2022/07/30 04:05:47 - mmengine - INFO - Epoch(train) [23][1080/2505] lr: 5.0000e-04 eta: 1 day, 0:42:24 time: 0.9711 data_time: 0.0740 memory: 32703 grad_norm: 20.1064 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4751 loss: 1.4751 2022/07/30 04:06:06 - mmengine - INFO - Epoch(train) [23][1100/2505] lr: 5.0000e-04 eta: 1 day, 0:42:03 time: 0.9641 data_time: 0.0461 memory: 32703 grad_norm: 19.8193 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.4546 loss: 1.4546 2022/07/30 04:06:27 - mmengine - INFO - Epoch(train) [23][1120/2505] lr: 5.0000e-04 eta: 1 day, 0:41:44 time: 1.0455 data_time: 0.0266 memory: 32703 grad_norm: 19.2115 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5338 loss: 1.5338 2022/07/30 04:06:47 - mmengine - INFO - Epoch(train) [23][1140/2505] lr: 5.0000e-04 eta: 1 day, 0:41:24 time: 0.9956 data_time: 0.0296 memory: 32703 grad_norm: 21.2065 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6123 loss: 1.6123 2022/07/30 04:07:08 - mmengine - INFO - Epoch(train) [23][1160/2505] lr: 5.0000e-04 eta: 1 day, 0:41:06 time: 1.0482 data_time: 0.0305 memory: 32703 grad_norm: 19.1473 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6652 loss: 1.6652 2022/07/30 04:07:25 - mmengine - INFO - Epoch(train) [23][1180/2505] lr: 5.0000e-04 eta: 1 day, 0:40:41 time: 0.8554 data_time: 0.0279 memory: 32703 grad_norm: 19.4354 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3453 loss: 1.3453 2022/07/30 04:07:48 - mmengine - INFO - Epoch(train) [23][1200/2505] lr: 5.0000e-04 eta: 1 day, 0:40:26 time: 1.1447 data_time: 0.0504 memory: 32703 grad_norm: 19.0420 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2525 loss: 1.2525 2022/07/30 04:08:04 - mmengine - INFO - Epoch(train) [23][1220/2505] lr: 5.0000e-04 eta: 1 day, 0:39:59 time: 0.7871 data_time: 0.0262 memory: 32703 grad_norm: 19.1782 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4527 loss: 1.4527 2022/07/30 04:08:25 - mmengine - INFO - Epoch(train) [23][1240/2505] lr: 5.0000e-04 eta: 1 day, 0:39:41 time: 1.0460 data_time: 0.0255 memory: 32703 grad_norm: 19.5496 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.2927 loss: 1.2927 2022/07/30 04:08:44 - mmengine - INFO - Epoch(train) [23][1260/2505] lr: 5.0000e-04 eta: 1 day, 0:39:20 time: 0.9638 data_time: 0.0334 memory: 32703 grad_norm: 19.9643 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.7227 loss: 1.7227 2022/07/30 04:09:05 - mmengine - INFO - Epoch(train) [23][1280/2505] lr: 5.0000e-04 eta: 1 day, 0:39:01 time: 1.0267 data_time: 0.0343 memory: 32703 grad_norm: 19.8837 top1_acc: 0.4167 top5_acc: 0.5000 loss_cls: 1.5281 loss: 1.5281 2022/07/30 04:09:24 - mmengine - INFO - Epoch(train) [23][1300/2505] lr: 5.0000e-04 eta: 1 day, 0:38:39 time: 0.9505 data_time: 0.0265 memory: 32703 grad_norm: 20.1212 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5336 loss: 1.5336 2022/07/30 04:09:44 - mmengine - INFO - Epoch(train) [23][1320/2505] lr: 5.0000e-04 eta: 1 day, 0:38:20 time: 1.0180 data_time: 0.0331 memory: 32703 grad_norm: 19.8979 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5278 loss: 1.5278 2022/07/30 04:10:04 - mmengine - INFO - Epoch(train) [23][1340/2505] lr: 5.0000e-04 eta: 1 day, 0:38:00 time: 0.9847 data_time: 0.0343 memory: 32703 grad_norm: 19.6683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5631 loss: 1.5631 2022/07/30 04:10:25 - mmengine - INFO - Epoch(train) [23][1360/2505] lr: 5.0000e-04 eta: 1 day, 0:37:41 time: 1.0340 data_time: 0.0284 memory: 32703 grad_norm: 19.8892 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5953 loss: 1.5953 2022/07/30 04:10:43 - mmengine - INFO - Epoch(train) [23][1380/2505] lr: 5.0000e-04 eta: 1 day, 0:37:18 time: 0.8974 data_time: 0.0318 memory: 32703 grad_norm: 19.8570 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3849 loss: 1.3849 2022/07/30 04:11:03 - mmengine - INFO - Epoch(train) [23][1400/2505] lr: 5.0000e-04 eta: 1 day, 0:36:59 time: 1.0404 data_time: 0.0310 memory: 32703 grad_norm: 19.9784 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3118 loss: 1.3118 2022/07/30 04:11:24 - mmengine - INFO - Epoch(train) [23][1420/2505] lr: 5.0000e-04 eta: 1 day, 0:36:40 time: 1.0111 data_time: 0.0306 memory: 32703 grad_norm: 20.2771 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3557 loss: 1.3557 2022/07/30 04:11:43 - mmengine - INFO - Epoch(train) [23][1440/2505] lr: 5.0000e-04 eta: 1 day, 0:36:19 time: 0.9900 data_time: 0.0315 memory: 32703 grad_norm: 19.7105 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4660 loss: 1.4660 2022/07/30 04:12:03 - mmengine - INFO - Epoch(train) [23][1460/2505] lr: 5.0000e-04 eta: 1 day, 0:35:58 time: 0.9660 data_time: 0.0335 memory: 32703 grad_norm: 19.6098 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1820 loss: 1.1820 2022/07/30 04:12:22 - mmengine - INFO - Epoch(train) [23][1480/2505] lr: 5.0000e-04 eta: 1 day, 0:35:38 time: 0.9850 data_time: 0.0320 memory: 32703 grad_norm: 19.2890 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2953 loss: 1.2953 2022/07/30 04:12:42 - mmengine - INFO - Epoch(train) [23][1500/2505] lr: 5.0000e-04 eta: 1 day, 0:35:17 time: 0.9579 data_time: 0.0326 memory: 32703 grad_norm: 19.4424 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4373 loss: 1.4373 2022/07/30 04:13:01 - mmengine - INFO - Epoch(train) [23][1520/2505] lr: 5.0000e-04 eta: 1 day, 0:34:56 time: 0.9823 data_time: 0.0314 memory: 32703 grad_norm: 19.9641 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5849 loss: 1.5849 2022/07/30 04:13:22 - mmengine - INFO - Epoch(train) [23][1540/2505] lr: 5.0000e-04 eta: 1 day, 0:34:37 time: 1.0344 data_time: 0.0272 memory: 32703 grad_norm: 20.1139 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4498 loss: 1.4498 2022/07/30 04:13:40 - mmengine - INFO - Epoch(train) [23][1560/2505] lr: 5.0000e-04 eta: 1 day, 0:34:15 time: 0.9092 data_time: 0.0303 memory: 32703 grad_norm: 20.1807 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.1666 loss: 1.1666 2022/07/30 04:14:01 - mmengine - INFO - Epoch(train) [23][1580/2505] lr: 5.0000e-04 eta: 1 day, 0:33:57 time: 1.0571 data_time: 0.0277 memory: 32703 grad_norm: 19.5119 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2825 loss: 1.2825 2022/07/30 04:14:20 - mmengine - INFO - Epoch(train) [23][1600/2505] lr: 5.0000e-04 eta: 1 day, 0:33:34 time: 0.9220 data_time: 0.0286 memory: 32703 grad_norm: 20.1798 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4716 loss: 1.4716 2022/07/30 04:14:41 - mmengine - INFO - Epoch(train) [23][1620/2505] lr: 5.0000e-04 eta: 1 day, 0:33:17 time: 1.0925 data_time: 0.0346 memory: 32703 grad_norm: 19.6544 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4134 loss: 1.4134 2022/07/30 04:15:01 - mmengine - INFO - Epoch(train) [23][1640/2505] lr: 5.0000e-04 eta: 1 day, 0:32:56 time: 0.9527 data_time: 0.0272 memory: 32703 grad_norm: 19.2963 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2755 loss: 1.2755 2022/07/30 04:15:20 - mmengine - INFO - Epoch(train) [23][1660/2505] lr: 5.0000e-04 eta: 1 day, 0:32:35 time: 0.9655 data_time: 0.0350 memory: 32703 grad_norm: 20.3630 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5075 loss: 1.5075 2022/07/30 04:15:40 - mmengine - INFO - Epoch(train) [23][1680/2505] lr: 5.0000e-04 eta: 1 day, 0:32:16 time: 1.0268 data_time: 0.0271 memory: 32703 grad_norm: 19.6856 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4210 loss: 1.4210 2022/07/30 04:15:59 - mmengine - INFO - Epoch(train) [23][1700/2505] lr: 5.0000e-04 eta: 1 day, 0:31:54 time: 0.9378 data_time: 0.0317 memory: 32703 grad_norm: 19.8269 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3803 loss: 1.3803 2022/07/30 04:16:20 - mmengine - INFO - Epoch(train) [23][1720/2505] lr: 5.0000e-04 eta: 1 day, 0:31:35 time: 1.0465 data_time: 0.0342 memory: 32703 grad_norm: 19.8427 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2651 loss: 1.2651 2022/07/30 04:16:39 - mmengine - INFO - Epoch(train) [23][1740/2505] lr: 5.0000e-04 eta: 1 day, 0:31:14 time: 0.9505 data_time: 0.0353 memory: 32703 grad_norm: 19.6583 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6535 loss: 1.6535 2022/07/30 04:17:00 - mmengine - INFO - Epoch(train) [23][1760/2505] lr: 5.0000e-04 eta: 1 day, 0:30:55 time: 1.0435 data_time: 0.0366 memory: 32703 grad_norm: 20.1136 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4610 loss: 1.4610 2022/07/30 04:17:18 - mmengine - INFO - Epoch(train) [23][1780/2505] lr: 5.0000e-04 eta: 1 day, 0:30:32 time: 0.8961 data_time: 0.0295 memory: 32703 grad_norm: 19.7978 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3208 loss: 1.3208 2022/07/30 04:17:39 - mmengine - INFO - Epoch(train) [23][1800/2505] lr: 5.0000e-04 eta: 1 day, 0:30:14 time: 1.0643 data_time: 0.0275 memory: 32703 grad_norm: 20.5394 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6330 loss: 1.6330 2022/07/30 04:17:57 - mmengine - INFO - Epoch(train) [23][1820/2505] lr: 5.0000e-04 eta: 1 day, 0:29:50 time: 0.8691 data_time: 0.0282 memory: 32703 grad_norm: 20.1997 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5553 loss: 1.5553 2022/07/30 04:18:19 - mmengine - INFO - Epoch(train) [23][1840/2505] lr: 5.0000e-04 eta: 1 day, 0:29:35 time: 1.1300 data_time: 0.0274 memory: 32703 grad_norm: 20.6181 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5273 loss: 1.5273 2022/07/30 04:18:37 - mmengine - INFO - Epoch(train) [23][1860/2505] lr: 5.0000e-04 eta: 1 day, 0:29:12 time: 0.9056 data_time: 0.0315 memory: 32703 grad_norm: 19.7152 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4192 loss: 1.4192 2022/07/30 04:18:59 - mmengine - INFO - Epoch(train) [23][1880/2505] lr: 5.0000e-04 eta: 1 day, 0:28:54 time: 1.0711 data_time: 0.0308 memory: 32703 grad_norm: 20.4669 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0901 loss: 1.0901 2022/07/30 04:19:07 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 04:19:16 - mmengine - INFO - Epoch(train) [23][1900/2505] lr: 5.0000e-04 eta: 1 day, 0:28:29 time: 0.8435 data_time: 0.0272 memory: 32703 grad_norm: 19.0278 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4489 loss: 1.4489 2022/07/30 04:19:39 - mmengine - INFO - Epoch(train) [23][1920/2505] lr: 5.0000e-04 eta: 1 day, 0:28:15 time: 1.1699 data_time: 0.0274 memory: 32703 grad_norm: 20.8897 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5503 loss: 1.5503 2022/07/30 04:19:55 - mmengine - INFO - Epoch(train) [23][1940/2505] lr: 5.0000e-04 eta: 1 day, 0:27:49 time: 0.8219 data_time: 0.0281 memory: 32703 grad_norm: 20.2214 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3657 loss: 1.3657 2022/07/30 04:20:19 - mmengine - INFO - Epoch(train) [23][1960/2505] lr: 5.0000e-04 eta: 1 day, 0:27:35 time: 1.1977 data_time: 0.0265 memory: 32703 grad_norm: 19.9448 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2674 loss: 1.2674 2022/07/30 04:20:36 - mmengine - INFO - Epoch(train) [23][1980/2505] lr: 5.0000e-04 eta: 1 day, 0:27:11 time: 0.8430 data_time: 0.0272 memory: 32703 grad_norm: 19.6030 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.3337 loss: 1.3337 2022/07/30 04:20:59 - mmengine - INFO - Epoch(train) [23][2000/2505] lr: 5.0000e-04 eta: 1 day, 0:26:54 time: 1.1121 data_time: 0.0306 memory: 32703 grad_norm: 20.1197 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3851 loss: 1.3851 2022/07/30 04:21:16 - mmengine - INFO - Epoch(train) [23][2020/2505] lr: 5.0000e-04 eta: 1 day, 0:26:31 time: 0.8880 data_time: 0.0277 memory: 32703 grad_norm: 19.7417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3687 loss: 1.3687 2022/07/30 04:21:38 - mmengine - INFO - Epoch(train) [23][2040/2505] lr: 5.0000e-04 eta: 1 day, 0:26:14 time: 1.0920 data_time: 0.0287 memory: 32703 grad_norm: 19.7658 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5317 loss: 1.5317 2022/07/30 04:21:55 - mmengine - INFO - Epoch(train) [23][2060/2505] lr: 5.0000e-04 eta: 1 day, 0:25:49 time: 0.8424 data_time: 0.0280 memory: 32703 grad_norm: 20.2031 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6012 loss: 1.6012 2022/07/30 04:22:16 - mmengine - INFO - Epoch(train) [23][2080/2505] lr: 5.0000e-04 eta: 1 day, 0:25:31 time: 1.0678 data_time: 0.0272 memory: 32703 grad_norm: 19.4454 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3986 loss: 1.3986 2022/07/30 04:22:34 - mmengine - INFO - Epoch(train) [23][2100/2505] lr: 5.0000e-04 eta: 1 day, 0:25:08 time: 0.9020 data_time: 0.0354 memory: 32703 grad_norm: 19.4256 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3397 loss: 1.3397 2022/07/30 04:22:56 - mmengine - INFO - Epoch(train) [23][2120/2505] lr: 5.0000e-04 eta: 1 day, 0:24:50 time: 1.0535 data_time: 0.0318 memory: 32703 grad_norm: 20.8699 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7876 loss: 1.7876 2022/07/30 04:23:13 - mmengine - INFO - Epoch(train) [23][2140/2505] lr: 5.0000e-04 eta: 1 day, 0:24:27 time: 0.8832 data_time: 0.0318 memory: 32703 grad_norm: 20.4693 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5385 loss: 1.5385 2022/07/30 04:23:35 - mmengine - INFO - Epoch(train) [23][2160/2505] lr: 5.0000e-04 eta: 1 day, 0:24:09 time: 1.0696 data_time: 0.0320 memory: 32703 grad_norm: 18.7258 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4769 loss: 1.4769 2022/07/30 04:23:53 - mmengine - INFO - Epoch(train) [23][2180/2505] lr: 5.0000e-04 eta: 1 day, 0:23:46 time: 0.8941 data_time: 0.0317 memory: 32703 grad_norm: 19.7960 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4103 loss: 1.4103 2022/07/30 04:24:13 - mmengine - INFO - Epoch(train) [23][2200/2505] lr: 5.0000e-04 eta: 1 day, 0:23:26 time: 1.0196 data_time: 0.0339 memory: 32703 grad_norm: 19.2581 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2311 loss: 1.2311 2022/07/30 04:24:31 - mmengine - INFO - Epoch(train) [23][2220/2505] lr: 5.0000e-04 eta: 1 day, 0:23:04 time: 0.9103 data_time: 0.0312 memory: 32703 grad_norm: 19.5617 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3788 loss: 1.3788 2022/07/30 04:24:52 - mmengine - INFO - Epoch(train) [23][2240/2505] lr: 5.0000e-04 eta: 1 day, 0:22:45 time: 1.0251 data_time: 0.0324 memory: 32703 grad_norm: 19.3523 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3146 loss: 1.3146 2022/07/30 04:25:11 - mmengine - INFO - Epoch(train) [23][2260/2505] lr: 5.0000e-04 eta: 1 day, 0:22:23 time: 0.9601 data_time: 0.0301 memory: 32703 grad_norm: 19.2835 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4435 loss: 1.4435 2022/07/30 04:25:32 - mmengine - INFO - Epoch(train) [23][2280/2505] lr: 5.0000e-04 eta: 1 day, 0:22:06 time: 1.0631 data_time: 0.0304 memory: 32703 grad_norm: 20.1975 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3716 loss: 1.3716 2022/07/30 04:25:51 - mmengine - INFO - Epoch(train) [23][2300/2505] lr: 5.0000e-04 eta: 1 day, 0:21:43 time: 0.9218 data_time: 0.0315 memory: 32703 grad_norm: 19.1651 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6062 loss: 1.6062 2022/07/30 04:26:12 - mmengine - INFO - Epoch(train) [23][2320/2505] lr: 5.0000e-04 eta: 1 day, 0:21:25 time: 1.0697 data_time: 0.0313 memory: 32703 grad_norm: 19.9235 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4571 loss: 1.4571 2022/07/30 04:26:30 - mmengine - INFO - Epoch(train) [23][2340/2505] lr: 5.0000e-04 eta: 1 day, 0:21:03 time: 0.9194 data_time: 0.0327 memory: 32703 grad_norm: 20.2539 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3926 loss: 1.3926 2022/07/30 04:26:52 - mmengine - INFO - Epoch(train) [23][2360/2505] lr: 5.0000e-04 eta: 1 day, 0:20:45 time: 1.0646 data_time: 0.0314 memory: 32703 grad_norm: 20.9318 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4634 loss: 1.4634 2022/07/30 04:27:10 - mmengine - INFO - Epoch(train) [23][2380/2505] lr: 5.0000e-04 eta: 1 day, 0:20:23 time: 0.9133 data_time: 0.0229 memory: 32703 grad_norm: 20.4943 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7533 loss: 1.7533 2022/07/30 04:27:31 - mmengine - INFO - Epoch(train) [23][2400/2505] lr: 5.0000e-04 eta: 1 day, 0:20:04 time: 1.0408 data_time: 0.0326 memory: 32703 grad_norm: 20.1458 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2874 loss: 1.2874 2022/07/30 04:27:49 - mmengine - INFO - Epoch(train) [23][2420/2505] lr: 5.0000e-04 eta: 1 day, 0:19:42 time: 0.9198 data_time: 0.0290 memory: 32703 grad_norm: 19.8821 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5541 loss: 1.5541 2022/07/30 04:28:11 - mmengine - INFO - Epoch(train) [23][2440/2505] lr: 5.0000e-04 eta: 1 day, 0:19:24 time: 1.0813 data_time: 0.0267 memory: 32703 grad_norm: 19.5021 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3595 loss: 1.3595 2022/07/30 04:28:28 - mmengine - INFO - Epoch(train) [23][2460/2505] lr: 5.0000e-04 eta: 1 day, 0:19:00 time: 0.8589 data_time: 0.0334 memory: 32703 grad_norm: 20.2010 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5876 loss: 1.5876 2022/07/30 04:28:49 - mmengine - INFO - Epoch(train) [23][2480/2505] lr: 5.0000e-04 eta: 1 day, 0:18:42 time: 1.0464 data_time: 0.0322 memory: 32703 grad_norm: 19.7440 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.3973 loss: 1.3973 2022/07/30 04:29:06 - mmengine - INFO - Epoch(train) [23][2500/2505] lr: 5.0000e-04 eta: 1 day, 0:18:17 time: 0.8368 data_time: 0.0258 memory: 32703 grad_norm: 19.3566 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.3740 loss: 1.3740 2022/07/30 04:29:08 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 04:29:08 - mmengine - INFO - Epoch(train) [23][2505/2505] lr: 5.0000e-04 eta: 1 day, 0:18:17 time: 0.7671 data_time: 0.0180 memory: 32703 grad_norm: 19.7426 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.4681 loss: 1.4681 2022/07/30 04:29:35 - mmengine - INFO - Epoch(train) [24][20/2505] lr: 5.0000e-04 eta: 1 day, 0:17:54 time: 1.3202 data_time: 0.6696 memory: 32703 grad_norm: 19.3079 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4394 loss: 1.4394 2022/07/30 04:29:53 - mmengine - INFO - Epoch(train) [24][40/2505] lr: 5.0000e-04 eta: 1 day, 0:17:32 time: 0.9173 data_time: 0.2743 memory: 32703 grad_norm: 19.5584 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2227 loss: 1.2227 2022/07/30 04:30:15 - mmengine - INFO - Epoch(train) [24][60/2505] lr: 5.0000e-04 eta: 1 day, 0:17:15 time: 1.1093 data_time: 0.4494 memory: 32703 grad_norm: 19.8178 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3775 loss: 1.3775 2022/07/30 04:30:34 - mmengine - INFO - Epoch(train) [24][80/2505] lr: 5.0000e-04 eta: 1 day, 0:16:53 time: 0.9179 data_time: 0.2674 memory: 32703 grad_norm: 19.7748 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3414 loss: 1.3414 2022/07/30 04:30:55 - mmengine - INFO - Epoch(train) [24][100/2505] lr: 5.0000e-04 eta: 1 day, 0:16:35 time: 1.0655 data_time: 0.4379 memory: 32703 grad_norm: 19.8812 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3524 loss: 1.3524 2022/07/30 04:31:13 - mmengine - INFO - Epoch(train) [24][120/2505] lr: 5.0000e-04 eta: 1 day, 0:16:12 time: 0.9127 data_time: 0.3153 memory: 32703 grad_norm: 20.6164 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2716 loss: 1.2716 2022/07/30 04:31:34 - mmengine - INFO - Epoch(train) [24][140/2505] lr: 5.0000e-04 eta: 1 day, 0:15:54 time: 1.0516 data_time: 0.4082 memory: 32703 grad_norm: 19.5126 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5031 loss: 1.5031 2022/07/30 04:31:53 - mmengine - INFO - Epoch(train) [24][160/2505] lr: 5.0000e-04 eta: 1 day, 0:15:33 time: 0.9579 data_time: 0.2977 memory: 32703 grad_norm: 19.9315 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2446 loss: 1.2446 2022/07/30 04:32:15 - mmengine - INFO - Epoch(train) [24][180/2505] lr: 5.0000e-04 eta: 1 day, 0:15:16 time: 1.0946 data_time: 0.2944 memory: 32703 grad_norm: 20.9184 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6311 loss: 1.6311 2022/07/30 04:32:34 - mmengine - INFO - Epoch(train) [24][200/2505] lr: 5.0000e-04 eta: 1 day, 0:14:53 time: 0.9192 data_time: 0.2036 memory: 32703 grad_norm: 19.8044 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5327 loss: 1.5327 2022/07/30 04:32:55 - mmengine - INFO - Epoch(train) [24][220/2505] lr: 5.0000e-04 eta: 1 day, 0:14:35 time: 1.0616 data_time: 0.1298 memory: 32703 grad_norm: 19.8906 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3257 loss: 1.3257 2022/07/30 04:33:13 - mmengine - INFO - Epoch(train) [24][240/2505] lr: 5.0000e-04 eta: 1 day, 0:14:13 time: 0.9205 data_time: 0.1321 memory: 32703 grad_norm: 19.4813 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4040 loss: 1.4040 2022/07/30 04:33:35 - mmengine - INFO - Epoch(train) [24][260/2505] lr: 5.0000e-04 eta: 1 day, 0:13:55 time: 1.0731 data_time: 0.1296 memory: 32703 grad_norm: 19.1523 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2420 loss: 1.2420 2022/07/30 04:33:53 - mmengine - INFO - Epoch(train) [24][280/2505] lr: 5.0000e-04 eta: 1 day, 0:13:33 time: 0.9174 data_time: 0.1399 memory: 32703 grad_norm: 19.8920 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3634 loss: 1.3634 2022/07/30 04:34:14 - mmengine - INFO - Epoch(train) [24][300/2505] lr: 5.0000e-04 eta: 1 day, 0:13:14 time: 1.0196 data_time: 0.1182 memory: 32703 grad_norm: 20.0517 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3246 loss: 1.3246 2022/07/30 04:34:32 - mmengine - INFO - Epoch(train) [24][320/2505] lr: 5.0000e-04 eta: 1 day, 0:12:51 time: 0.9009 data_time: 0.1973 memory: 32703 grad_norm: 19.1757 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3868 loss: 1.3868 2022/07/30 04:34:53 - mmengine - INFO - Epoch(train) [24][340/2505] lr: 5.0000e-04 eta: 1 day, 0:12:33 time: 1.0739 data_time: 0.2453 memory: 32703 grad_norm: 19.7350 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6714 loss: 1.6714 2022/07/30 04:35:11 - mmengine - INFO - Epoch(train) [24][360/2505] lr: 5.0000e-04 eta: 1 day, 0:12:10 time: 0.9031 data_time: 0.0454 memory: 32703 grad_norm: 19.7004 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4532 loss: 1.4532 2022/07/30 04:35:33 - mmengine - INFO - Epoch(train) [24][380/2505] lr: 5.0000e-04 eta: 1 day, 0:11:53 time: 1.0872 data_time: 0.2150 memory: 32703 grad_norm: 20.7885 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3759 loss: 1.3759 2022/07/30 04:35:39 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 04:35:51 - mmengine - INFO - Epoch(train) [24][400/2505] lr: 5.0000e-04 eta: 1 day, 0:11:30 time: 0.9066 data_time: 0.1240 memory: 32703 grad_norm: 19.5432 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5063 loss: 1.5063 2022/07/30 04:36:13 - mmengine - INFO - Epoch(train) [24][420/2505] lr: 5.0000e-04 eta: 1 day, 0:11:13 time: 1.0843 data_time: 0.1977 memory: 32703 grad_norm: 19.7108 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3364 loss: 1.3364 2022/07/30 04:36:32 - mmengine - INFO - Epoch(train) [24][440/2505] lr: 5.0000e-04 eta: 1 day, 0:10:51 time: 0.9391 data_time: 0.0822 memory: 32703 grad_norm: 19.4749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4542 loss: 1.4542 2022/07/30 04:36:52 - mmengine - INFO - Epoch(train) [24][460/2505] lr: 5.0000e-04 eta: 1 day, 0:10:32 time: 1.0367 data_time: 0.0479 memory: 32703 grad_norm: 20.0432 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3356 loss: 1.3356 2022/07/30 04:37:10 - mmengine - INFO - Epoch(train) [24][480/2505] lr: 5.0000e-04 eta: 1 day, 0:10:10 time: 0.9039 data_time: 0.0348 memory: 32703 grad_norm: 19.1524 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5164 loss: 1.5164 2022/07/30 04:37:31 - mmengine - INFO - Epoch(train) [24][500/2505] lr: 5.0000e-04 eta: 1 day, 0:09:50 time: 1.0142 data_time: 0.1146 memory: 32703 grad_norm: 19.5386 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4234 loss: 1.4234 2022/07/30 04:37:49 - mmengine - INFO - Epoch(train) [24][520/2505] lr: 5.0000e-04 eta: 1 day, 0:09:28 time: 0.9363 data_time: 0.1144 memory: 32703 grad_norm: 19.9272 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6180 loss: 1.6180 2022/07/30 04:38:12 - mmengine - INFO - Epoch(train) [24][540/2505] lr: 5.0000e-04 eta: 1 day, 0:09:12 time: 1.1252 data_time: 0.1393 memory: 32703 grad_norm: 19.7652 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2574 loss: 1.2574 2022/07/30 04:38:29 - mmengine - INFO - Epoch(train) [24][560/2505] lr: 5.0000e-04 eta: 1 day, 0:08:49 time: 0.8770 data_time: 0.0328 memory: 32703 grad_norm: 20.0862 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6168 loss: 1.6168 2022/07/30 04:38:51 - mmengine - INFO - Epoch(train) [24][580/2505] lr: 5.0000e-04 eta: 1 day, 0:08:31 time: 1.0851 data_time: 0.0411 memory: 32703 grad_norm: 18.6718 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4899 loss: 1.4899 2022/07/30 04:39:09 - mmengine - INFO - Epoch(train) [24][600/2505] lr: 5.0000e-04 eta: 1 day, 0:08:08 time: 0.8901 data_time: 0.0282 memory: 32703 grad_norm: 19.7483 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.3733 loss: 1.3733 2022/07/30 04:39:30 - mmengine - INFO - Epoch(train) [24][620/2505] lr: 5.0000e-04 eta: 1 day, 0:07:50 time: 1.0497 data_time: 0.0298 memory: 32703 grad_norm: 19.3915 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.6116 loss: 1.6116 2022/07/30 04:39:49 - mmengine - INFO - Epoch(train) [24][640/2505] lr: 5.0000e-04 eta: 1 day, 0:07:28 time: 0.9485 data_time: 0.0311 memory: 32703 grad_norm: 18.3459 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4843 loss: 1.4843 2022/07/30 04:40:10 - mmengine - INFO - Epoch(train) [24][660/2505] lr: 5.0000e-04 eta: 1 day, 0:07:11 time: 1.0774 data_time: 0.0307 memory: 32703 grad_norm: 20.2094 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2934 loss: 1.2934 2022/07/30 04:40:28 - mmengine - INFO - Epoch(train) [24][680/2505] lr: 5.0000e-04 eta: 1 day, 0:06:47 time: 0.8906 data_time: 0.0277 memory: 32703 grad_norm: 20.2053 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4209 loss: 1.4209 2022/07/30 04:40:49 - mmengine - INFO - Epoch(train) [24][700/2505] lr: 5.0000e-04 eta: 1 day, 0:06:29 time: 1.0355 data_time: 0.0260 memory: 32703 grad_norm: 19.0554 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1599 loss: 1.1599 2022/07/30 04:41:06 - mmengine - INFO - Epoch(train) [24][720/2505] lr: 5.0000e-04 eta: 1 day, 0:06:05 time: 0.8625 data_time: 0.0277 memory: 32703 grad_norm: 19.9120 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.7901 loss: 1.7901 2022/07/30 04:41:29 - mmengine - INFO - Epoch(train) [24][740/2505] lr: 5.0000e-04 eta: 1 day, 0:05:48 time: 1.1149 data_time: 0.0284 memory: 32703 grad_norm: 19.6793 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3733 loss: 1.3733 2022/07/30 04:41:47 - mmengine - INFO - Epoch(train) [24][760/2505] lr: 5.0000e-04 eta: 1 day, 0:05:25 time: 0.9013 data_time: 0.0271 memory: 32703 grad_norm: 19.5217 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3984 loss: 1.3984 2022/07/30 04:42:07 - mmengine - INFO - Epoch(train) [24][780/2505] lr: 5.0000e-04 eta: 1 day, 0:05:06 time: 1.0286 data_time: 0.0271 memory: 32703 grad_norm: 20.0861 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.7732 loss: 1.7732 2022/07/30 04:42:26 - mmengine - INFO - Epoch(train) [24][800/2505] lr: 5.0000e-04 eta: 1 day, 0:04:44 time: 0.9271 data_time: 0.0315 memory: 32703 grad_norm: 19.9426 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5203 loss: 1.5203 2022/07/30 04:42:46 - mmengine - INFO - Epoch(train) [24][820/2505] lr: 5.0000e-04 eta: 1 day, 0:04:25 time: 1.0105 data_time: 0.0276 memory: 32703 grad_norm: 19.8171 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.7100 loss: 1.7100 2022/07/30 04:43:05 - mmengine - INFO - Epoch(train) [24][840/2505] lr: 5.0000e-04 eta: 1 day, 0:04:03 time: 0.9499 data_time: 0.0266 memory: 32703 grad_norm: 19.0878 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5162 loss: 1.5162 2022/07/30 04:43:25 - mmengine - INFO - Epoch(train) [24][860/2505] lr: 5.0000e-04 eta: 1 day, 0:03:44 time: 1.0109 data_time: 0.0279 memory: 32703 grad_norm: 19.8908 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4103 loss: 1.4103 2022/07/30 04:43:44 - mmengine - INFO - Epoch(train) [24][880/2505] lr: 5.0000e-04 eta: 1 day, 0:03:22 time: 0.9439 data_time: 0.0281 memory: 32703 grad_norm: 20.0433 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.4239 loss: 1.4239 2022/07/30 04:44:05 - mmengine - INFO - Epoch(train) [24][900/2505] lr: 5.0000e-04 eta: 1 day, 0:03:04 time: 1.0667 data_time: 0.0255 memory: 32703 grad_norm: 19.8047 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2996 loss: 1.2996 2022/07/30 04:44:24 - mmengine - INFO - Epoch(train) [24][920/2505] lr: 5.0000e-04 eta: 1 day, 0:02:42 time: 0.9108 data_time: 0.0266 memory: 32703 grad_norm: 19.6700 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2456 loss: 1.2456 2022/07/30 04:44:45 - mmengine - INFO - Epoch(train) [24][940/2505] lr: 5.0000e-04 eta: 1 day, 0:02:23 time: 1.0505 data_time: 0.0297 memory: 32703 grad_norm: 20.1160 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4678 loss: 1.4678 2022/07/30 04:45:03 - mmengine - INFO - Epoch(train) [24][960/2505] lr: 5.0000e-04 eta: 1 day, 0:02:01 time: 0.9216 data_time: 0.0259 memory: 32703 grad_norm: 20.1059 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2071 loss: 1.2071 2022/07/30 04:45:23 - mmengine - INFO - Epoch(train) [24][980/2505] lr: 5.0000e-04 eta: 1 day, 0:01:41 time: 1.0012 data_time: 0.0296 memory: 32703 grad_norm: 19.4538 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4013 loss: 1.4013 2022/07/30 04:45:42 - mmengine - INFO - Epoch(train) [24][1000/2505] lr: 5.0000e-04 eta: 1 day, 0:01:19 time: 0.9391 data_time: 0.0264 memory: 32703 grad_norm: 21.2705 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5216 loss: 1.5216 2022/07/30 04:46:03 - mmengine - INFO - Epoch(train) [24][1020/2505] lr: 5.0000e-04 eta: 1 day, 0:01:01 time: 1.0416 data_time: 0.0266 memory: 32703 grad_norm: 20.7298 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4897 loss: 1.4897 2022/07/30 04:46:22 - mmengine - INFO - Epoch(train) [24][1040/2505] lr: 5.0000e-04 eta: 1 day, 0:00:40 time: 0.9758 data_time: 0.0252 memory: 32703 grad_norm: 19.8721 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4738 loss: 1.4738 2022/07/30 04:46:43 - mmengine - INFO - Epoch(train) [24][1060/2505] lr: 5.0000e-04 eta: 1 day, 0:00:21 time: 1.0226 data_time: 0.0274 memory: 32703 grad_norm: 19.7403 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3335 loss: 1.3335 2022/07/30 04:47:02 - mmengine - INFO - Epoch(train) [24][1080/2505] lr: 5.0000e-04 eta: 1 day, 0:00:00 time: 0.9461 data_time: 0.0325 memory: 32703 grad_norm: 19.5052 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1759 loss: 1.1759 2022/07/30 04:47:21 - mmengine - INFO - Epoch(train) [24][1100/2505] lr: 5.0000e-04 eta: 23:59:39 time: 0.9794 data_time: 0.0633 memory: 32703 grad_norm: 20.0749 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4717 loss: 1.4717 2022/07/30 04:47:41 - mmengine - INFO - Epoch(train) [24][1120/2505] lr: 5.0000e-04 eta: 23:59:18 time: 0.9706 data_time: 0.0991 memory: 32703 grad_norm: 19.2949 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3942 loss: 1.3942 2022/07/30 04:48:02 - mmengine - INFO - Epoch(train) [24][1140/2505] lr: 5.0000e-04 eta: 23:59:01 time: 1.0762 data_time: 0.0296 memory: 32703 grad_norm: 19.7245 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3684 loss: 1.3684 2022/07/30 04:48:19 - mmengine - INFO - Epoch(train) [24][1160/2505] lr: 5.0000e-04 eta: 23:58:36 time: 0.8454 data_time: 0.0265 memory: 32703 grad_norm: 20.1321 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4342 loss: 1.4342 2022/07/30 04:48:39 - mmengine - INFO - Epoch(train) [24][1180/2505] lr: 5.0000e-04 eta: 23:58:16 time: 1.0060 data_time: 0.0321 memory: 32703 grad_norm: 20.3137 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6871 loss: 1.6871 2022/07/30 04:48:59 - mmengine - INFO - Epoch(train) [24][1200/2505] lr: 5.0000e-04 eta: 23:57:56 time: 0.9953 data_time: 0.0373 memory: 32703 grad_norm: 18.8338 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3917 loss: 1.3917 2022/07/30 04:49:18 - mmengine - INFO - Epoch(train) [24][1220/2505] lr: 5.0000e-04 eta: 23:57:35 time: 0.9573 data_time: 0.0248 memory: 32703 grad_norm: 20.0698 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2456 loss: 1.2456 2022/07/30 04:49:39 - mmengine - INFO - Epoch(train) [24][1240/2505] lr: 5.0000e-04 eta: 23:57:16 time: 1.0269 data_time: 0.0274 memory: 32703 grad_norm: 19.7143 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2684 loss: 1.2684 2022/07/30 04:49:57 - mmengine - INFO - Epoch(train) [24][1260/2505] lr: 5.0000e-04 eta: 23:56:54 time: 0.9291 data_time: 0.0334 memory: 32703 grad_norm: 19.1157 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6569 loss: 1.6569 2022/07/30 04:50:19 - mmengine - INFO - Epoch(train) [24][1280/2505] lr: 5.0000e-04 eta: 23:56:37 time: 1.0727 data_time: 0.0314 memory: 32703 grad_norm: 19.8243 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2187 loss: 1.2187 2022/07/30 04:50:37 - mmengine - INFO - Epoch(train) [24][1300/2505] lr: 5.0000e-04 eta: 23:56:14 time: 0.9241 data_time: 0.0277 memory: 32703 grad_norm: 19.5312 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6665 loss: 1.6665 2022/07/30 04:50:59 - mmengine - INFO - Epoch(train) [24][1320/2505] lr: 5.0000e-04 eta: 23:55:56 time: 1.0668 data_time: 0.0301 memory: 32703 grad_norm: 19.9838 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1630 loss: 1.1630 2022/07/30 04:51:18 - mmengine - INFO - Epoch(train) [24][1340/2505] lr: 5.0000e-04 eta: 23:55:36 time: 0.9763 data_time: 0.0342 memory: 32703 grad_norm: 19.1754 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2433 loss: 1.2433 2022/07/30 04:51:37 - mmengine - INFO - Epoch(train) [24][1360/2505] lr: 5.0000e-04 eta: 23:55:14 time: 0.9274 data_time: 0.0266 memory: 32703 grad_norm: 19.6922 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2932 loss: 1.2932 2022/07/30 04:51:57 - mmengine - INFO - Epoch(train) [24][1380/2505] lr: 5.0000e-04 eta: 23:54:55 time: 1.0315 data_time: 0.0274 memory: 32703 grad_norm: 18.9827 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1889 loss: 1.1889 2022/07/30 04:52:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 04:52:17 - mmengine - INFO - Epoch(train) [24][1400/2505] lr: 5.0000e-04 eta: 23:54:34 time: 0.9758 data_time: 0.0311 memory: 32703 grad_norm: 19.6467 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4808 loss: 1.4808 2022/07/30 04:52:37 - mmengine - INFO - Epoch(train) [24][1420/2505] lr: 5.0000e-04 eta: 23:54:14 time: 0.9982 data_time: 0.0278 memory: 32703 grad_norm: 19.3745 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2178 loss: 1.2178 2022/07/30 04:52:57 - mmengine - INFO - Epoch(train) [24][1440/2505] lr: 5.0000e-04 eta: 23:53:54 time: 0.9921 data_time: 0.0307 memory: 32703 grad_norm: 19.7922 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6901 loss: 1.6901 2022/07/30 04:53:15 - mmengine - INFO - Epoch(train) [24][1460/2505] lr: 5.0000e-04 eta: 23:53:32 time: 0.9341 data_time: 0.0345 memory: 32703 grad_norm: 19.2649 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4816 loss: 1.4816 2022/07/30 04:53:37 - mmengine - INFO - Epoch(train) [24][1480/2505] lr: 5.0000e-04 eta: 23:53:14 time: 1.0520 data_time: 0.0286 memory: 32703 grad_norm: 20.1415 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2041 loss: 1.2041 2022/07/30 04:53:55 - mmengine - INFO - Epoch(train) [24][1500/2505] lr: 5.0000e-04 eta: 23:52:52 time: 0.9263 data_time: 0.0328 memory: 32703 grad_norm: 19.5833 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.2405 loss: 1.2405 2022/07/30 04:54:15 - mmengine - INFO - Epoch(train) [24][1520/2505] lr: 5.0000e-04 eta: 23:52:33 time: 1.0143 data_time: 0.0291 memory: 32703 grad_norm: 19.7695 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5141 loss: 1.5141 2022/07/30 04:54:34 - mmengine - INFO - Epoch(train) [24][1540/2505] lr: 5.0000e-04 eta: 23:52:11 time: 0.9534 data_time: 0.0333 memory: 32703 grad_norm: 19.8315 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4997 loss: 1.4997 2022/07/30 04:54:55 - mmengine - INFO - Epoch(train) [24][1560/2505] lr: 5.0000e-04 eta: 23:51:53 time: 1.0552 data_time: 0.0281 memory: 32703 grad_norm: 19.9676 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3672 loss: 1.3672 2022/07/30 04:55:14 - mmengine - INFO - Epoch(train) [24][1580/2505] lr: 5.0000e-04 eta: 23:51:31 time: 0.9217 data_time: 0.0276 memory: 32703 grad_norm: 18.9055 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4210 loss: 1.4210 2022/07/30 04:55:37 - mmengine - INFO - Epoch(train) [24][1600/2505] lr: 5.0000e-04 eta: 23:51:15 time: 1.1337 data_time: 0.0321 memory: 32703 grad_norm: 19.8730 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4795 loss: 1.4795 2022/07/30 04:55:55 - mmengine - INFO - Epoch(train) [24][1620/2505] lr: 5.0000e-04 eta: 23:50:53 time: 0.9232 data_time: 0.0269 memory: 32703 grad_norm: 18.7265 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1979 loss: 1.1979 2022/07/30 04:56:16 - mmengine - INFO - Epoch(train) [24][1640/2505] lr: 5.0000e-04 eta: 23:50:34 time: 1.0389 data_time: 0.0335 memory: 32703 grad_norm: 18.9640 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3389 loss: 1.3389 2022/07/30 04:56:34 - mmengine - INFO - Epoch(train) [24][1660/2505] lr: 5.0000e-04 eta: 23:50:12 time: 0.9125 data_time: 0.0324 memory: 32703 grad_norm: 19.1118 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5197 loss: 1.5197 2022/07/30 04:56:54 - mmengine - INFO - Epoch(train) [24][1680/2505] lr: 5.0000e-04 eta: 23:49:52 time: 1.0086 data_time: 0.0299 memory: 32703 grad_norm: 19.3795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4976 loss: 1.4976 2022/07/30 04:57:12 - mmengine - INFO - Epoch(train) [24][1700/2505] lr: 5.0000e-04 eta: 23:49:29 time: 0.8957 data_time: 0.0357 memory: 32703 grad_norm: 20.0402 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1385 loss: 1.1385 2022/07/30 04:57:34 - mmengine - INFO - Epoch(train) [24][1720/2505] lr: 5.0000e-04 eta: 23:49:12 time: 1.0870 data_time: 0.0257 memory: 32703 grad_norm: 19.7801 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3147 loss: 1.3147 2022/07/30 04:57:52 - mmengine - INFO - Epoch(train) [24][1740/2505] lr: 5.0000e-04 eta: 23:48:49 time: 0.8892 data_time: 0.0310 memory: 32703 grad_norm: 20.0883 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5352 loss: 1.5352 2022/07/30 04:58:14 - mmengine - INFO - Epoch(train) [24][1760/2505] lr: 5.0000e-04 eta: 23:48:32 time: 1.1008 data_time: 0.0351 memory: 32703 grad_norm: 20.3499 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3867 loss: 1.3867 2022/07/30 04:58:32 - mmengine - INFO - Epoch(train) [24][1780/2505] lr: 5.0000e-04 eta: 23:48:09 time: 0.8965 data_time: 0.0355 memory: 32703 grad_norm: 18.6278 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3938 loss: 1.3938 2022/07/30 04:58:53 - mmengine - INFO - Epoch(train) [24][1800/2505] lr: 5.0000e-04 eta: 23:47:51 time: 1.0667 data_time: 0.0304 memory: 32703 grad_norm: 19.6554 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5697 loss: 1.5697 2022/07/30 04:59:11 - mmengine - INFO - Epoch(train) [24][1820/2505] lr: 5.0000e-04 eta: 23:47:28 time: 0.9109 data_time: 0.0392 memory: 32703 grad_norm: 19.6989 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5558 loss: 1.5558 2022/07/30 04:59:32 - mmengine - INFO - Epoch(train) [24][1840/2505] lr: 5.0000e-04 eta: 23:47:09 time: 1.0245 data_time: 0.0303 memory: 32703 grad_norm: 18.2198 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5355 loss: 1.5355 2022/07/30 04:59:49 - mmengine - INFO - Epoch(train) [24][1860/2505] lr: 5.0000e-04 eta: 23:46:46 time: 0.8853 data_time: 0.0336 memory: 32703 grad_norm: 20.0629 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4536 loss: 1.4536 2022/07/30 05:00:12 - mmengine - INFO - Epoch(train) [24][1880/2505] lr: 5.0000e-04 eta: 23:46:29 time: 1.1153 data_time: 0.0271 memory: 32703 grad_norm: 19.2111 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5221 loss: 1.5221 2022/07/30 05:00:30 - mmengine - INFO - Epoch(train) [24][1900/2505] lr: 5.0000e-04 eta: 23:46:07 time: 0.9000 data_time: 0.0340 memory: 32703 grad_norm: 19.5343 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5699 loss: 1.5699 2022/07/30 05:00:51 - mmengine - INFO - Epoch(train) [24][1920/2505] lr: 5.0000e-04 eta: 23:45:48 time: 1.0517 data_time: 0.0242 memory: 32703 grad_norm: 18.9250 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3393 loss: 1.3393 2022/07/30 05:01:10 - mmengine - INFO - Epoch(train) [24][1940/2505] lr: 5.0000e-04 eta: 23:45:27 time: 0.9534 data_time: 0.0282 memory: 32703 grad_norm: 20.3336 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4474 loss: 1.4474 2022/07/30 05:01:31 - mmengine - INFO - Epoch(train) [24][1960/2505] lr: 5.0000e-04 eta: 23:45:09 time: 1.0749 data_time: 0.0264 memory: 32703 grad_norm: 20.0738 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4723 loss: 1.4723 2022/07/30 05:01:49 - mmengine - INFO - Epoch(train) [24][1980/2505] lr: 5.0000e-04 eta: 23:44:46 time: 0.8785 data_time: 0.0336 memory: 32703 grad_norm: 19.4452 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.6011 loss: 1.6011 2022/07/30 05:02:10 - mmengine - INFO - Epoch(train) [24][2000/2505] lr: 5.0000e-04 eta: 23:44:28 time: 1.0766 data_time: 0.0269 memory: 32703 grad_norm: 20.8052 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4948 loss: 1.4948 2022/07/30 05:02:29 - mmengine - INFO - Epoch(train) [24][2020/2505] lr: 5.0000e-04 eta: 23:44:06 time: 0.9077 data_time: 0.0276 memory: 32703 grad_norm: 18.7421 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4506 loss: 1.4506 2022/07/30 05:02:50 - mmengine - INFO - Epoch(train) [24][2040/2505] lr: 5.0000e-04 eta: 23:43:47 time: 1.0515 data_time: 0.0279 memory: 32703 grad_norm: 18.7826 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3421 loss: 1.3421 2022/07/30 05:03:08 - mmengine - INFO - Epoch(train) [24][2060/2505] lr: 5.0000e-04 eta: 23:43:25 time: 0.9019 data_time: 0.0299 memory: 32703 grad_norm: 20.0279 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4643 loss: 1.4643 2022/07/30 05:03:29 - mmengine - INFO - Epoch(train) [24][2080/2505] lr: 5.0000e-04 eta: 23:43:06 time: 1.0559 data_time: 0.0296 memory: 32703 grad_norm: 20.4826 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4390 loss: 1.4390 2022/07/30 05:03:47 - mmengine - INFO - Epoch(train) [24][2100/2505] lr: 5.0000e-04 eta: 23:42:44 time: 0.9286 data_time: 0.0284 memory: 32703 grad_norm: 19.3593 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2639 loss: 1.2639 2022/07/30 05:04:08 - mmengine - INFO - Epoch(train) [24][2120/2505] lr: 5.0000e-04 eta: 23:42:26 time: 1.0503 data_time: 0.0297 memory: 32703 grad_norm: 18.5832 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5251 loss: 1.5251 2022/07/30 05:04:26 - mmengine - INFO - Epoch(train) [24][2140/2505] lr: 5.0000e-04 eta: 23:42:03 time: 0.8794 data_time: 0.0291 memory: 32703 grad_norm: 19.9906 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4020 loss: 1.4020 2022/07/30 05:04:47 - mmengine - INFO - Epoch(train) [24][2160/2505] lr: 5.0000e-04 eta: 23:41:44 time: 1.0280 data_time: 0.0263 memory: 32703 grad_norm: 19.7380 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4715 loss: 1.4715 2022/07/30 05:05:06 - mmengine - INFO - Epoch(train) [24][2180/2505] lr: 5.0000e-04 eta: 23:41:23 time: 0.9789 data_time: 0.0274 memory: 32703 grad_norm: 19.1781 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.6470 loss: 1.6470 2022/07/30 05:05:26 - mmengine - INFO - Epoch(train) [24][2200/2505] lr: 5.0000e-04 eta: 23:41:03 time: 1.0067 data_time: 0.0294 memory: 32703 grad_norm: 18.6562 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.5638 loss: 1.5638 2022/07/30 05:05:45 - mmengine - INFO - Epoch(train) [24][2220/2505] lr: 5.0000e-04 eta: 23:40:41 time: 0.9192 data_time: 0.0321 memory: 32703 grad_norm: 19.7558 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3552 loss: 1.3552 2022/07/30 05:06:05 - mmengine - INFO - Epoch(train) [24][2240/2505] lr: 5.0000e-04 eta: 23:40:22 time: 1.0226 data_time: 0.0255 memory: 32703 grad_norm: 19.7378 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1920 loss: 1.1920 2022/07/30 05:06:25 - mmengine - INFO - Epoch(train) [24][2260/2505] lr: 5.0000e-04 eta: 23:40:02 time: 0.9884 data_time: 0.0277 memory: 32703 grad_norm: 19.1127 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5501 loss: 1.5501 2022/07/30 05:06:45 - mmengine - INFO - Epoch(train) [24][2280/2505] lr: 5.0000e-04 eta: 23:39:42 time: 0.9974 data_time: 0.0280 memory: 32703 grad_norm: 19.6597 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.3357 loss: 1.3357 2022/07/30 05:07:04 - mmengine - INFO - Epoch(train) [24][2300/2505] lr: 5.0000e-04 eta: 23:39:21 time: 0.9626 data_time: 0.0305 memory: 32703 grad_norm: 18.4845 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3301 loss: 1.3301 2022/07/30 05:07:24 - mmengine - INFO - Epoch(train) [24][2320/2505] lr: 5.0000e-04 eta: 23:39:01 time: 1.0107 data_time: 0.0239 memory: 32703 grad_norm: 20.0714 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.5421 loss: 1.5421 2022/07/30 05:07:43 - mmengine - INFO - Epoch(train) [24][2340/2505] lr: 5.0000e-04 eta: 23:38:40 time: 0.9570 data_time: 0.0273 memory: 32703 grad_norm: 19.8587 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3973 loss: 1.3973 2022/07/30 05:08:04 - mmengine - INFO - Epoch(train) [24][2360/2505] lr: 5.0000e-04 eta: 23:38:20 time: 1.0042 data_time: 0.0273 memory: 32703 grad_norm: 19.6461 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4067 loss: 1.4067 2022/07/30 05:08:21 - mmengine - INFO - Epoch(train) [24][2380/2505] lr: 5.0000e-04 eta: 23:37:57 time: 0.8859 data_time: 0.0268 memory: 32703 grad_norm: 19.9379 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4419 loss: 1.4419 2022/07/30 05:08:27 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 05:08:43 - mmengine - INFO - Epoch(train) [24][2400/2505] lr: 5.0000e-04 eta: 23:37:40 time: 1.0797 data_time: 0.0310 memory: 32703 grad_norm: 19.1549 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5977 loss: 1.5977 2022/07/30 05:09:02 - mmengine - INFO - Epoch(train) [24][2420/2505] lr: 5.0000e-04 eta: 23:37:19 time: 0.9570 data_time: 0.0288 memory: 32703 grad_norm: 19.5178 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2481 loss: 1.2481 2022/07/30 05:09:22 - mmengine - INFO - Epoch(train) [24][2440/2505] lr: 5.0000e-04 eta: 23:36:58 time: 0.9735 data_time: 0.0267 memory: 32703 grad_norm: 19.7702 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4932 loss: 1.4932 2022/07/30 05:09:41 - mmengine - INFO - Epoch(train) [24][2460/2505] lr: 5.0000e-04 eta: 23:36:37 time: 0.9730 data_time: 0.0310 memory: 32703 grad_norm: 19.6882 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4163 loss: 1.4163 2022/07/30 05:10:00 - mmengine - INFO - Epoch(train) [24][2480/2505] lr: 5.0000e-04 eta: 23:36:16 time: 0.9654 data_time: 0.0332 memory: 32703 grad_norm: 19.6560 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4725 loss: 1.4725 2022/07/30 05:10:19 - mmengine - INFO - Epoch(train) [24][2500/2505] lr: 5.0000e-04 eta: 23:35:54 time: 0.9238 data_time: 0.0277 memory: 32703 grad_norm: 19.5034 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3223 loss: 1.3223 2022/07/30 05:10:22 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 05:10:22 - mmengine - INFO - Epoch(train) [24][2505/2505] lr: 5.0000e-04 eta: 23:35:54 time: 0.7703 data_time: 0.0192 memory: 32703 grad_norm: 19.6960 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.3824 loss: 1.3824 2022/07/30 05:10:22 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/07/30 05:10:30 - mmengine - INFO - Epoch(val) [24][20/2475] eta: 0:04:14 time: 0.1036 data_time: 0.0730 memory: 817 2022/07/30 05:10:31 - mmengine - INFO - Epoch(val) [24][40/2475] eta: 0:02:43 time: 0.0671 data_time: 0.0410 memory: 817 2022/07/30 05:10:33 - mmengine - INFO - Epoch(val) [24][60/2475] eta: 0:03:45 time: 0.0933 data_time: 0.0657 memory: 817 2022/07/30 05:10:34 - mmengine - INFO - Epoch(val) [24][80/2475] eta: 0:02:44 time: 0.0686 data_time: 0.0426 memory: 817 2022/07/30 05:10:36 - mmengine - INFO - Epoch(val) [24][100/2475] eta: 0:03:56 time: 0.0996 data_time: 0.0713 memory: 817 2022/07/30 05:10:38 - mmengine - INFO - Epoch(val) [24][120/2475] eta: 0:02:26 time: 0.0623 data_time: 0.0346 memory: 817 2022/07/30 05:10:39 - mmengine - INFO - Epoch(val) [24][140/2475] eta: 0:03:08 time: 0.0808 data_time: 0.0523 memory: 817 2022/07/30 05:10:41 - mmengine - INFO - Epoch(val) [24][160/2475] eta: 0:03:05 time: 0.0803 data_time: 0.0527 memory: 817 2022/07/30 05:10:43 - mmengine - INFO - Epoch(val) [24][180/2475] eta: 0:03:14 time: 0.0846 data_time: 0.0340 memory: 817 2022/07/30 05:10:44 - mmengine - INFO - Epoch(val) [24][200/2475] eta: 0:02:56 time: 0.0775 data_time: 0.0491 memory: 817 2022/07/30 05:10:46 - mmengine - INFO - Epoch(val) [24][220/2475] eta: 0:03:21 time: 0.0895 data_time: 0.0627 memory: 817 2022/07/30 05:10:48 - mmengine - INFO - Epoch(val) [24][240/2475] eta: 0:02:49 time: 0.0760 data_time: 0.0477 memory: 817 2022/07/30 05:10:49 - mmengine - INFO - Epoch(val) [24][260/2475] eta: 0:03:09 time: 0.0857 data_time: 0.0589 memory: 817 2022/07/30 05:10:51 - mmengine - INFO - Epoch(val) [24][280/2475] eta: 0:02:36 time: 0.0714 data_time: 0.0444 memory: 817 2022/07/30 05:10:52 - mmengine - INFO - Epoch(val) [24][300/2475] eta: 0:02:56 time: 0.0813 data_time: 0.0519 memory: 817 2022/07/30 05:10:54 - mmengine - INFO - Epoch(val) [24][320/2475] eta: 0:02:25 time: 0.0674 data_time: 0.0395 memory: 817 2022/07/30 05:10:55 - mmengine - INFO - Epoch(val) [24][340/2475] eta: 0:02:58 time: 0.0836 data_time: 0.0562 memory: 817 2022/07/30 05:10:57 - mmengine - INFO - Epoch(val) [24][360/2475] eta: 0:03:02 time: 0.0865 data_time: 0.0592 memory: 817 2022/07/30 05:10:59 - mmengine - INFO - Epoch(val) [24][380/2475] eta: 0:02:52 time: 0.0821 data_time: 0.0547 memory: 817 2022/07/30 05:11:00 - mmengine - INFO - Epoch(val) [24][400/2475] eta: 0:02:47 time: 0.0810 data_time: 0.0531 memory: 817 2022/07/30 05:11:02 - mmengine - INFO - Epoch(val) [24][420/2475] eta: 0:03:42 time: 0.1084 data_time: 0.0662 memory: 817 2022/07/30 05:11:04 - mmengine - INFO - Epoch(val) [24][440/2475] eta: 0:02:10 time: 0.0639 data_time: 0.0268 memory: 817 2022/07/30 05:11:05 - mmengine - INFO - Epoch(val) [24][460/2475] eta: 0:02:29 time: 0.0741 data_time: 0.0468 memory: 817 2022/07/30 05:11:07 - mmengine - INFO - Epoch(val) [24][480/2475] eta: 0:02:54 time: 0.0876 data_time: 0.0616 memory: 817 2022/07/30 05:11:08 - mmengine - INFO - Epoch(val) [24][500/2475] eta: 0:02:19 time: 0.0707 data_time: 0.0439 memory: 817 2022/07/30 05:11:10 - mmengine - INFO - Epoch(val) [24][520/2475] eta: 0:02:55 time: 0.0896 data_time: 0.0624 memory: 817 2022/07/30 05:11:12 - mmengine - INFO - Epoch(val) [24][540/2475] eta: 0:02:30 time: 0.0777 data_time: 0.0512 memory: 817 2022/07/30 05:11:14 - mmengine - INFO - Epoch(val) [24][560/2475] eta: 0:02:48 time: 0.0879 data_time: 0.0611 memory: 817 2022/07/30 05:11:15 - mmengine - INFO - Epoch(val) [24][580/2475] eta: 0:02:19 time: 0.0734 data_time: 0.0473 memory: 817 2022/07/30 05:11:17 - mmengine - INFO - Epoch(val) [24][600/2475] eta: 0:03:05 time: 0.0988 data_time: 0.0709 memory: 817 2022/07/30 05:11:18 - mmengine - INFO - Epoch(val) [24][620/2475] eta: 0:02:16 time: 0.0738 data_time: 0.0460 memory: 817 2022/07/30 05:11:20 - mmengine - INFO - Epoch(val) [24][640/2475] eta: 0:02:34 time: 0.0840 data_time: 0.0554 memory: 817 2022/07/30 05:11:22 - mmengine - INFO - Epoch(val) [24][660/2475] eta: 0:02:05 time: 0.0692 data_time: 0.0405 memory: 817 2022/07/30 05:11:23 - mmengine - INFO - Epoch(val) [24][680/2475] eta: 0:02:45 time: 0.0923 data_time: 0.0364 memory: 817 2022/07/30 05:11:25 - mmengine - INFO - Epoch(val) [24][700/2475] eta: 0:01:54 time: 0.0644 data_time: 0.0316 memory: 817 2022/07/30 05:11:26 - mmengine - INFO - Epoch(val) [24][720/2475] eta: 0:02:33 time: 0.0877 data_time: 0.0603 memory: 817 2022/07/30 05:11:28 - mmengine - INFO - Epoch(val) [24][740/2475] eta: 0:02:11 time: 0.0759 data_time: 0.0473 memory: 817 2022/07/30 05:11:30 - mmengine - INFO - Epoch(val) [24][760/2475] eta: 0:02:22 time: 0.0831 data_time: 0.0557 memory: 817 2022/07/30 05:11:31 - mmengine - INFO - Epoch(val) [24][780/2475] eta: 0:02:28 time: 0.0874 data_time: 0.0594 memory: 817 2022/07/30 05:11:33 - mmengine - INFO - Epoch(val) [24][800/2475] eta: 0:01:58 time: 0.0708 data_time: 0.0422 memory: 817 2022/07/30 05:11:34 - mmengine - INFO - Epoch(val) [24][820/2475] eta: 0:02:08 time: 0.0775 data_time: 0.0492 memory: 817 2022/07/30 05:11:36 - mmengine - INFO - Epoch(val) [24][840/2475] eta: 0:02:18 time: 0.0848 data_time: 0.0548 memory: 817 2022/07/30 05:11:38 - mmengine - INFO - Epoch(val) [24][860/2475] eta: 0:01:59 time: 0.0738 data_time: 0.0452 memory: 817 2022/07/30 05:11:39 - mmengine - INFO - Epoch(val) [24][880/2475] eta: 0:02:36 time: 0.0981 data_time: 0.0717 memory: 817 2022/07/30 05:11:41 - mmengine - INFO - Epoch(val) [24][900/2475] eta: 0:01:57 time: 0.0743 data_time: 0.0469 memory: 817 2022/07/30 05:11:43 - mmengine - INFO - Epoch(val) [24][920/2475] eta: 0:02:39 time: 0.1024 data_time: 0.0649 memory: 817 2022/07/30 05:11:44 - mmengine - INFO - Epoch(val) [24][940/2475] eta: 0:01:49 time: 0.0713 data_time: 0.0417 memory: 817 2022/07/30 05:11:46 - mmengine - INFO - Epoch(val) [24][960/2475] eta: 0:02:17 time: 0.0905 data_time: 0.0616 memory: 817 2022/07/30 05:11:48 - mmengine - INFO - Epoch(val) [24][980/2475] eta: 0:02:04 time: 0.0835 data_time: 0.0575 memory: 817 2022/07/30 05:11:49 - mmengine - INFO - Epoch(val) [24][1000/2475] eta: 0:01:49 time: 0.0745 data_time: 0.0469 memory: 817 2022/07/30 05:11:51 - mmengine - INFO - Epoch(val) [24][1020/2475] eta: 0:02:04 time: 0.0858 data_time: 0.0596 memory: 817 2022/07/30 05:11:53 - mmengine - INFO - Epoch(val) [24][1040/2475] eta: 0:01:57 time: 0.0816 data_time: 0.0512 memory: 817 2022/07/30 05:11:55 - mmengine - INFO - Epoch(val) [24][1060/2475] eta: 0:02:03 time: 0.0873 data_time: 0.0604 memory: 817 2022/07/30 05:11:56 - mmengine - INFO - Epoch(val) [24][1080/2475] eta: 0:01:35 time: 0.0682 data_time: 0.0410 memory: 817 2022/07/30 05:11:58 - mmengine - INFO - Epoch(val) [24][1100/2475] eta: 0:02:04 time: 0.0904 data_time: 0.0635 memory: 817 2022/07/30 05:11:59 - mmengine - INFO - Epoch(val) [24][1120/2475] eta: 0:01:29 time: 0.0663 data_time: 0.0371 memory: 817 2022/07/30 05:12:01 - mmengine - INFO - Epoch(val) [24][1140/2475] eta: 0:01:46 time: 0.0799 data_time: 0.0515 memory: 817 2022/07/30 05:12:02 - mmengine - INFO - Epoch(val) [24][1160/2475] eta: 0:01:58 time: 0.0900 data_time: 0.0454 memory: 817 2022/07/30 05:12:04 - mmengine - INFO - Epoch(val) [24][1180/2475] eta: 0:01:51 time: 0.0864 data_time: 0.0556 memory: 817 2022/07/30 05:12:06 - mmengine - INFO - Epoch(val) [24][1200/2475] eta: 0:01:30 time: 0.0709 data_time: 0.0417 memory: 817 2022/07/30 05:12:08 - mmengine - INFO - Epoch(val) [24][1220/2475] eta: 0:01:59 time: 0.0949 data_time: 0.0679 memory: 817 2022/07/30 05:12:09 - mmengine - INFO - Epoch(val) [24][1240/2475] eta: 0:01:27 time: 0.0709 data_time: 0.0431 memory: 817 2022/07/30 05:12:11 - mmengine - INFO - Epoch(val) [24][1260/2475] eta: 0:01:49 time: 0.0904 data_time: 0.0618 memory: 817 2022/07/30 05:12:12 - mmengine - INFO - Epoch(val) [24][1280/2475] eta: 0:01:30 time: 0.0758 data_time: 0.0479 memory: 817 2022/07/30 05:12:14 - mmengine - INFO - Epoch(val) [24][1300/2475] eta: 0:01:45 time: 0.0894 data_time: 0.0625 memory: 817 2022/07/30 05:12:16 - mmengine - INFO - Epoch(val) [24][1320/2475] eta: 0:01:26 time: 0.0752 data_time: 0.0463 memory: 817 2022/07/30 05:12:17 - mmengine - INFO - Epoch(val) [24][1340/2475] eta: 0:01:33 time: 0.0821 data_time: 0.0553 memory: 817 2022/07/30 05:12:19 - mmengine - INFO - Epoch(val) [24][1360/2475] eta: 0:01:20 time: 0.0721 data_time: 0.0457 memory: 817 2022/07/30 05:12:20 - mmengine - INFO - Epoch(val) [24][1380/2475] eta: 0:01:35 time: 0.0877 data_time: 0.0607 memory: 817 2022/07/30 05:12:22 - mmengine - INFO - Epoch(val) [24][1400/2475] eta: 0:01:14 time: 0.0690 data_time: 0.0426 memory: 817 2022/07/30 05:12:23 - mmengine - INFO - Epoch(val) [24][1420/2475] eta: 0:01:25 time: 0.0814 data_time: 0.0510 memory: 817 2022/07/30 05:12:25 - mmengine - INFO - Epoch(val) [24][1440/2475] eta: 0:01:22 time: 0.0797 data_time: 0.0531 memory: 817 2022/07/30 05:12:26 - mmengine - INFO - Epoch(val) [24][1460/2475] eta: 0:01:13 time: 0.0723 data_time: 0.0447 memory: 817 2022/07/30 05:12:28 - mmengine - INFO - Epoch(val) [24][1480/2475] eta: 0:01:27 time: 0.0879 data_time: 0.0609 memory: 817 2022/07/30 05:12:30 - mmengine - INFO - Epoch(val) [24][1500/2475] eta: 0:01:12 time: 0.0742 data_time: 0.0469 memory: 817 2022/07/30 05:12:31 - mmengine - INFO - Epoch(val) [24][1520/2475] eta: 0:01:19 time: 0.0833 data_time: 0.0558 memory: 817 2022/07/30 05:12:33 - mmengine - INFO - Epoch(val) [24][1540/2475] eta: 0:01:17 time: 0.0833 data_time: 0.0546 memory: 817 2022/07/30 05:12:35 - mmengine - INFO - Epoch(val) [24][1560/2475] eta: 0:01:23 time: 0.0907 data_time: 0.0638 memory: 817 2022/07/30 05:12:36 - mmengine - INFO - Epoch(val) [24][1580/2475] eta: 0:01:05 time: 0.0730 data_time: 0.0449 memory: 817 2022/07/30 05:12:38 - mmengine - INFO - Epoch(val) [24][1600/2475] eta: 0:01:11 time: 0.0820 data_time: 0.0549 memory: 817 2022/07/30 05:12:40 - mmengine - INFO - Epoch(val) [24][1620/2475] eta: 0:01:13 time: 0.0862 data_time: 0.0583 memory: 817 2022/07/30 05:12:41 - mmengine - INFO - Epoch(val) [24][1640/2475] eta: 0:01:06 time: 0.0800 data_time: 0.0527 memory: 817 2022/07/30 05:12:43 - mmengine - INFO - Epoch(val) [24][1660/2475] eta: 0:01:05 time: 0.0802 data_time: 0.0363 memory: 817 2022/07/30 05:12:45 - mmengine - INFO - Epoch(val) [24][1680/2475] eta: 0:01:06 time: 0.0838 data_time: 0.0554 memory: 817 2022/07/30 05:12:46 - mmengine - INFO - Epoch(val) [24][1700/2475] eta: 0:00:57 time: 0.0744 data_time: 0.0481 memory: 817 2022/07/30 05:12:48 - mmengine - INFO - Epoch(val) [24][1720/2475] eta: 0:01:11 time: 0.0946 data_time: 0.0682 memory: 817 2022/07/30 05:12:49 - mmengine - INFO - Epoch(val) [24][1740/2475] eta: 0:00:44 time: 0.0607 data_time: 0.0337 memory: 817 2022/07/30 05:12:51 - mmengine - INFO - Epoch(val) [24][1760/2475] eta: 0:01:05 time: 0.0916 data_time: 0.0651 memory: 817 2022/07/30 05:12:53 - mmengine - INFO - Epoch(val) [24][1780/2475] eta: 0:00:51 time: 0.0737 data_time: 0.0475 memory: 817 2022/07/30 05:12:54 - mmengine - INFO - Epoch(val) [24][1800/2475] eta: 0:01:02 time: 0.0929 data_time: 0.0658 memory: 817 2022/07/30 05:12:56 - mmengine - INFO - Epoch(val) [24][1820/2475] eta: 0:00:48 time: 0.0735 data_time: 0.0462 memory: 817 2022/07/30 05:12:58 - mmengine - INFO - Epoch(val) [24][1840/2475] eta: 0:00:56 time: 0.0897 data_time: 0.0629 memory: 817 2022/07/30 05:12:59 - mmengine - INFO - Epoch(val) [24][1860/2475] eta: 0:00:42 time: 0.0688 data_time: 0.0410 memory: 817 2022/07/30 05:13:01 - mmengine - INFO - Epoch(val) [24][1880/2475] eta: 0:01:00 time: 0.1021 data_time: 0.0750 memory: 817 2022/07/30 05:13:03 - mmengine - INFO - Epoch(val) [24][1900/2475] eta: 0:00:46 time: 0.0816 data_time: 0.0393 memory: 817 2022/07/30 05:13:04 - mmengine - INFO - Epoch(val) [24][1920/2475] eta: 0:00:41 time: 0.0745 data_time: 0.0466 memory: 817 2022/07/30 05:13:06 - mmengine - INFO - Epoch(val) [24][1940/2475] eta: 0:00:41 time: 0.0773 data_time: 0.0499 memory: 817 2022/07/30 05:13:08 - mmengine - INFO - Epoch(val) [24][1960/2475] eta: 0:00:46 time: 0.0912 data_time: 0.0648 memory: 817 2022/07/30 05:13:09 - mmengine - INFO - Epoch(val) [24][1980/2475] eta: 0:00:32 time: 0.0650 data_time: 0.0372 memory: 817 2022/07/30 05:13:11 - mmengine - INFO - Epoch(val) [24][2000/2475] eta: 0:00:40 time: 0.0860 data_time: 0.0590 memory: 817 2022/07/30 05:13:12 - mmengine - INFO - Epoch(val) [24][2020/2475] eta: 0:00:28 time: 0.0628 data_time: 0.0358 memory: 817 2022/07/30 05:13:13 - mmengine - INFO - Epoch(val) [24][2040/2475] eta: 0:00:33 time: 0.0769 data_time: 0.0493 memory: 817 2022/07/30 05:13:15 - mmengine - INFO - Epoch(val) [24][2060/2475] eta: 0:00:35 time: 0.0861 data_time: 0.0571 memory: 817 2022/07/30 05:13:17 - mmengine - INFO - Epoch(val) [24][2080/2475] eta: 0:00:36 time: 0.0930 data_time: 0.0652 memory: 817 2022/07/30 05:13:18 - mmengine - INFO - Epoch(val) [24][2100/2475] eta: 0:00:27 time: 0.0734 data_time: 0.0454 memory: 817 2022/07/30 05:13:20 - mmengine - INFO - Epoch(val) [24][2120/2475] eta: 0:00:33 time: 0.0943 data_time: 0.0668 memory: 817 2022/07/30 05:13:22 - mmengine - INFO - Epoch(val) [24][2140/2475] eta: 0:00:22 time: 0.0666 data_time: 0.0391 memory: 817 2022/07/30 05:13:24 - mmengine - INFO - Epoch(val) [24][2160/2475] eta: 0:00:28 time: 0.0908 data_time: 0.0631 memory: 817 2022/07/30 05:13:25 - mmengine - INFO - Epoch(val) [24][2180/2475] eta: 0:00:21 time: 0.0724 data_time: 0.0450 memory: 817 2022/07/30 05:13:27 - mmengine - INFO - Epoch(val) [24][2200/2475] eta: 0:00:23 time: 0.0869 data_time: 0.0600 memory: 817 2022/07/30 05:13:28 - mmengine - INFO - Epoch(val) [24][2220/2475] eta: 0:00:18 time: 0.0744 data_time: 0.0470 memory: 817 2022/07/30 05:13:30 - mmengine - INFO - Epoch(val) [24][2240/2475] eta: 0:00:20 time: 0.0884 data_time: 0.0609 memory: 817 2022/07/30 05:13:32 - mmengine - INFO - Epoch(val) [24][2260/2475] eta: 0:00:17 time: 0.0801 data_time: 0.0529 memory: 817 2022/07/30 05:13:33 - mmengine - INFO - Epoch(val) [24][2280/2475] eta: 0:00:17 time: 0.0894 data_time: 0.0616 memory: 817 2022/07/30 05:13:35 - mmengine - INFO - Epoch(val) [24][2300/2475] eta: 0:00:12 time: 0.0735 data_time: 0.0468 memory: 817 2022/07/30 05:13:37 - mmengine - INFO - Epoch(val) [24][2320/2475] eta: 0:00:13 time: 0.0900 data_time: 0.0641 memory: 817 2022/07/30 05:13:38 - mmengine - INFO - Epoch(val) [24][2340/2475] eta: 0:00:09 time: 0.0722 data_time: 0.0450 memory: 817 2022/07/30 05:13:40 - mmengine - INFO - Epoch(val) [24][2360/2475] eta: 0:00:10 time: 0.0900 data_time: 0.0640 memory: 817 2022/07/30 05:13:41 - mmengine - INFO - Epoch(val) [24][2380/2475] eta: 0:00:06 time: 0.0682 data_time: 0.0421 memory: 817 2022/07/30 05:13:42 - mmengine - INFO - Epoch(val) [24][2400/2475] eta: 0:00:04 time: 0.0580 data_time: 0.0288 memory: 817 2022/07/30 05:13:43 - mmengine - INFO - Epoch(val) [24][2420/2475] eta: 0:00:01 time: 0.0296 data_time: 0.0024 memory: 817 2022/07/30 05:13:44 - mmengine - INFO - Epoch(val) [24][2440/2475] eta: 0:00:00 time: 0.0276 data_time: 0.0026 memory: 817 2022/07/30 05:13:44 - mmengine - INFO - Epoch(val) [24][2460/2475] eta: 0:00:00 time: 0.0279 data_time: 0.0031 memory: 817 2022/07/30 05:13:46 - mmengine - INFO - Epoch(val) [24][2475/2475] acc/top1: 0.7144 acc/top5: 0.9025 acc/mean1: 0.7143 2022/07/30 05:13:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_22.pth is removed 2022/07/30 05:13:50 - mmengine - INFO - The best checkpoint with 0.7144 acc/top1 at 25 epoch is saved to best_acc/top1_epoch_25.pth. 2022/07/30 05:14:17 - mmengine - INFO - Epoch(train) [25][20/2505] lr: 5.0000e-04 eta: 23:35:33 time: 1.3650 data_time: 0.7433 memory: 32703 grad_norm: 19.2146 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3982 loss: 1.3982 2022/07/30 05:14:34 - mmengine - INFO - Epoch(train) [25][40/2505] lr: 5.0000e-04 eta: 23:35:09 time: 0.8713 data_time: 0.2799 memory: 32703 grad_norm: 19.5782 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4622 loss: 1.4622 2022/07/30 05:14:57 - mmengine - INFO - Epoch(train) [25][60/2505] lr: 5.0000e-04 eta: 23:34:52 time: 1.1041 data_time: 0.4961 memory: 32703 grad_norm: 19.8052 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2188 loss: 1.2188 2022/07/30 05:15:15 - mmengine - INFO - Epoch(train) [25][80/2505] lr: 5.0000e-04 eta: 23:34:30 time: 0.9188 data_time: 0.2990 memory: 32703 grad_norm: 18.7899 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5437 loss: 1.5437 2022/07/30 05:15:36 - mmengine - INFO - Epoch(train) [25][100/2505] lr: 5.0000e-04 eta: 23:34:12 time: 1.0412 data_time: 0.4279 memory: 32703 grad_norm: 20.1154 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1655 loss: 1.1655 2022/07/30 05:15:54 - mmengine - INFO - Epoch(train) [25][120/2505] lr: 5.0000e-04 eta: 23:33:49 time: 0.9065 data_time: 0.3044 memory: 32703 grad_norm: 20.0605 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.4507 loss: 1.4507 2022/07/30 05:16:14 - mmengine - INFO - Epoch(train) [25][140/2505] lr: 5.0000e-04 eta: 23:33:29 time: 1.0076 data_time: 0.4090 memory: 32703 grad_norm: 19.6924 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4827 loss: 1.4827 2022/07/30 05:16:32 - mmengine - INFO - Epoch(train) [25][160/2505] lr: 5.0000e-04 eta: 23:33:06 time: 0.8801 data_time: 0.3013 memory: 32703 grad_norm: 19.1221 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3998 loss: 1.3998 2022/07/30 05:16:55 - mmengine - INFO - Epoch(train) [25][180/2505] lr: 5.0000e-04 eta: 23:32:50 time: 1.1443 data_time: 0.4739 memory: 32703 grad_norm: 19.3124 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2890 loss: 1.2890 2022/07/30 05:17:12 - mmengine - INFO - Epoch(train) [25][200/2505] lr: 5.0000e-04 eta: 23:32:27 time: 0.8868 data_time: 0.2979 memory: 32703 grad_norm: 19.7262 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2532 loss: 1.2532 2022/07/30 05:17:34 - mmengine - INFO - Epoch(train) [25][220/2505] lr: 5.0000e-04 eta: 23:32:10 time: 1.0969 data_time: 0.4706 memory: 32703 grad_norm: 19.3676 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3206 loss: 1.3206 2022/07/30 05:17:50 - mmengine - INFO - Epoch(train) [25][240/2505] lr: 5.0000e-04 eta: 23:31:45 time: 0.8084 data_time: 0.2266 memory: 32703 grad_norm: 19.8110 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3932 loss: 1.3932 2022/07/30 05:18:12 - mmengine - INFO - Epoch(train) [25][260/2505] lr: 5.0000e-04 eta: 23:31:27 time: 1.0876 data_time: 0.4698 memory: 32703 grad_norm: 19.8457 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3369 loss: 1.3369 2022/07/30 05:18:30 - mmengine - INFO - Epoch(train) [25][280/2505] lr: 5.0000e-04 eta: 23:31:05 time: 0.9028 data_time: 0.3071 memory: 32703 grad_norm: 18.8878 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4680 loss: 1.4680 2022/07/30 05:18:51 - mmengine - INFO - Epoch(train) [25][300/2505] lr: 5.0000e-04 eta: 23:30:46 time: 1.0451 data_time: 0.4352 memory: 32703 grad_norm: 19.7703 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5675 loss: 1.5675 2022/07/30 05:19:10 - mmengine - INFO - Epoch(train) [25][320/2505] lr: 5.0000e-04 eta: 23:30:25 time: 0.9608 data_time: 0.3354 memory: 32703 grad_norm: 20.0433 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6335 loss: 1.6335 2022/07/30 05:19:31 - mmengine - INFO - Epoch(train) [25][340/2505] lr: 5.0000e-04 eta: 23:30:06 time: 1.0404 data_time: 0.4261 memory: 32703 grad_norm: 19.8333 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3424 loss: 1.3424 2022/07/30 05:19:50 - mmengine - INFO - Epoch(train) [25][360/2505] lr: 5.0000e-04 eta: 23:29:44 time: 0.9205 data_time: 0.3048 memory: 32703 grad_norm: 19.0879 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4105 loss: 1.4105 2022/07/30 05:20:11 - mmengine - INFO - Epoch(train) [25][380/2505] lr: 5.0000e-04 eta: 23:29:26 time: 1.0653 data_time: 0.4451 memory: 32703 grad_norm: 19.9362 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4894 loss: 1.4894 2022/07/30 05:20:30 - mmengine - INFO - Epoch(train) [25][400/2505] lr: 5.0000e-04 eta: 23:29:05 time: 0.9594 data_time: 0.3689 memory: 32703 grad_norm: 19.8498 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5607 loss: 1.5607 2022/07/30 05:20:51 - mmengine - INFO - Epoch(train) [25][420/2505] lr: 5.0000e-04 eta: 23:28:47 time: 1.0613 data_time: 0.4344 memory: 32703 grad_norm: 19.8607 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3572 loss: 1.3572 2022/07/30 05:21:09 - mmengine - INFO - Epoch(train) [25][440/2505] lr: 5.0000e-04 eta: 23:28:25 time: 0.9028 data_time: 0.2911 memory: 32703 grad_norm: 18.9690 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2711 loss: 1.2711 2022/07/30 05:21:30 - mmengine - INFO - Epoch(train) [25][460/2505] lr: 5.0000e-04 eta: 23:28:05 time: 1.0173 data_time: 0.3929 memory: 32703 grad_norm: 19.8767 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3603 loss: 1.3603 2022/07/30 05:21:48 - mmengine - INFO - Epoch(train) [25][480/2505] lr: 5.0000e-04 eta: 23:27:43 time: 0.9273 data_time: 0.2989 memory: 32703 grad_norm: 19.4259 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5357 loss: 1.5357 2022/07/30 05:22:09 - mmengine - INFO - Epoch(train) [25][500/2505] lr: 5.0000e-04 eta: 23:27:25 time: 1.0611 data_time: 0.3452 memory: 32703 grad_norm: 19.8644 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4839 loss: 1.4839 2022/07/30 05:22:28 - mmengine - INFO - Epoch(train) [25][520/2505] lr: 5.0000e-04 eta: 23:27:02 time: 0.9018 data_time: 0.1505 memory: 32703 grad_norm: 18.6758 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3289 loss: 1.3289 2022/07/30 05:22:47 - mmengine - INFO - Epoch(train) [25][540/2505] lr: 5.0000e-04 eta: 23:26:42 time: 0.9862 data_time: 0.1864 memory: 32703 grad_norm: 18.8395 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3090 loss: 1.3090 2022/07/30 05:23:07 - mmengine - INFO - Epoch(train) [25][560/2505] lr: 5.0000e-04 eta: 23:26:22 time: 0.9720 data_time: 0.1083 memory: 32703 grad_norm: 20.2218 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3721 loss: 1.3721 2022/07/30 05:23:28 - mmengine - INFO - Epoch(train) [25][580/2505] lr: 5.0000e-04 eta: 23:26:03 time: 1.0423 data_time: 0.2614 memory: 32703 grad_norm: 19.0810 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5074 loss: 1.5074 2022/07/30 05:23:47 - mmengine - INFO - Epoch(train) [25][600/2505] lr: 5.0000e-04 eta: 23:25:43 time: 0.9846 data_time: 0.1441 memory: 32703 grad_norm: 19.7948 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5588 loss: 1.5588 2022/07/30 05:24:08 - mmengine - INFO - Epoch(train) [25][620/2505] lr: 5.0000e-04 eta: 23:25:23 time: 1.0177 data_time: 0.1292 memory: 32703 grad_norm: 21.0614 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3447 loss: 1.3447 2022/07/30 05:24:26 - mmengine - INFO - Epoch(train) [25][640/2505] lr: 5.0000e-04 eta: 23:25:01 time: 0.9280 data_time: 0.2487 memory: 32703 grad_norm: 19.2911 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3488 loss: 1.3488 2022/07/30 05:24:47 - mmengine - INFO - Epoch(train) [25][660/2505] lr: 5.0000e-04 eta: 23:24:42 time: 1.0252 data_time: 0.3078 memory: 32703 grad_norm: 19.6615 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2562 loss: 1.2562 2022/07/30 05:25:05 - mmengine - INFO - Epoch(train) [25][680/2505] lr: 5.0000e-04 eta: 23:24:20 time: 0.9038 data_time: 0.2544 memory: 32703 grad_norm: 21.1283 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.3696 loss: 1.3696 2022/07/30 05:25:26 - mmengine - INFO - Epoch(train) [25][700/2505] lr: 5.0000e-04 eta: 23:24:02 time: 1.0644 data_time: 0.4458 memory: 32703 grad_norm: 20.0023 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4729 loss: 1.4729 2022/07/30 05:25:44 - mmengine - INFO - Epoch(train) [25][720/2505] lr: 5.0000e-04 eta: 23:23:39 time: 0.9138 data_time: 0.2529 memory: 32703 grad_norm: 19.4734 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5175 loss: 1.5175 2022/07/30 05:26:06 - mmengine - INFO - Epoch(train) [25][740/2505] lr: 5.0000e-04 eta: 23:23:21 time: 1.0643 data_time: 0.3179 memory: 32703 grad_norm: 19.4028 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4715 loss: 1.4715 2022/07/30 05:26:25 - mmengine - INFO - Epoch(train) [25][760/2505] lr: 5.0000e-04 eta: 23:23:00 time: 0.9534 data_time: 0.1248 memory: 32703 grad_norm: 19.8769 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.6123 loss: 1.6123 2022/07/30 05:26:45 - mmengine - INFO - Epoch(train) [25][780/2505] lr: 5.0000e-04 eta: 23:22:40 time: 1.0011 data_time: 0.1333 memory: 32703 grad_norm: 19.2932 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3713 loss: 1.3713 2022/07/30 05:27:04 - mmengine - INFO - Epoch(train) [25][800/2505] lr: 5.0000e-04 eta: 23:22:19 time: 0.9528 data_time: 0.0625 memory: 32703 grad_norm: 19.5386 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4587 loss: 1.4587 2022/07/30 05:27:24 - mmengine - INFO - Epoch(train) [25][820/2505] lr: 5.0000e-04 eta: 23:22:00 time: 1.0142 data_time: 0.1782 memory: 32703 grad_norm: 19.8196 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2219 loss: 1.2219 2022/07/30 05:27:43 - mmengine - INFO - Epoch(train) [25][840/2505] lr: 5.0000e-04 eta: 23:21:38 time: 0.9538 data_time: 0.0636 memory: 32703 grad_norm: 19.8446 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2937 loss: 1.2937 2022/07/30 05:28:03 - mmengine - INFO - Epoch(train) [25][860/2505] lr: 5.0000e-04 eta: 23:21:18 time: 0.9921 data_time: 0.1576 memory: 32703 grad_norm: 19.8904 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3830 loss: 1.3830 2022/07/30 05:28:23 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 05:28:23 - mmengine - INFO - Epoch(train) [25][880/2505] lr: 5.0000e-04 eta: 23:20:58 time: 0.9926 data_time: 0.1232 memory: 32703 grad_norm: 20.4404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3428 loss: 1.3428 2022/07/30 05:28:42 - mmengine - INFO - Epoch(train) [25][900/2505] lr: 5.0000e-04 eta: 23:20:38 time: 0.9766 data_time: 0.1334 memory: 32703 grad_norm: 19.7461 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2559 loss: 1.2559 2022/07/30 05:29:01 - mmengine - INFO - Epoch(train) [25][920/2505] lr: 5.0000e-04 eta: 23:20:16 time: 0.9493 data_time: 0.0869 memory: 32703 grad_norm: 19.0189 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1978 loss: 1.1978 2022/07/30 05:29:21 - mmengine - INFO - Epoch(train) [25][940/2505] lr: 5.0000e-04 eta: 23:19:56 time: 0.9621 data_time: 0.1100 memory: 32703 grad_norm: 20.4046 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4602 loss: 1.4602 2022/07/30 05:29:41 - mmengine - INFO - Epoch(train) [25][960/2505] lr: 5.0000e-04 eta: 23:19:36 time: 1.0094 data_time: 0.0631 memory: 32703 grad_norm: 19.5948 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.6975 loss: 1.6975 2022/07/30 05:30:00 - mmengine - INFO - Epoch(train) [25][980/2505] lr: 5.0000e-04 eta: 23:19:15 time: 0.9655 data_time: 0.0927 memory: 32703 grad_norm: 19.1349 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2542 loss: 1.2542 2022/07/30 05:30:22 - mmengine - INFO - Epoch(train) [25][1000/2505] lr: 5.0000e-04 eta: 23:18:57 time: 1.0768 data_time: 0.0711 memory: 32703 grad_norm: 19.8541 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.2851 loss: 1.2851 2022/07/30 05:30:40 - mmengine - INFO - Epoch(train) [25][1020/2505] lr: 5.0000e-04 eta: 23:18:35 time: 0.9095 data_time: 0.1031 memory: 32703 grad_norm: 18.9633 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6503 loss: 1.6503 2022/07/30 05:31:01 - mmengine - INFO - Epoch(train) [25][1040/2505] lr: 5.0000e-04 eta: 23:18:17 time: 1.0808 data_time: 0.0405 memory: 32703 grad_norm: 19.9188 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4314 loss: 1.4314 2022/07/30 05:31:20 - mmengine - INFO - Epoch(train) [25][1060/2505] lr: 5.0000e-04 eta: 23:17:55 time: 0.9093 data_time: 0.0275 memory: 32703 grad_norm: 19.8446 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5002 loss: 1.5002 2022/07/30 05:31:40 - mmengine - INFO - Epoch(train) [25][1080/2505] lr: 5.0000e-04 eta: 23:17:36 time: 1.0324 data_time: 0.0287 memory: 32703 grad_norm: 19.5635 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3558 loss: 1.3558 2022/07/30 05:31:59 - mmengine - INFO - Epoch(train) [25][1100/2505] lr: 5.0000e-04 eta: 23:17:15 time: 0.9531 data_time: 0.0280 memory: 32703 grad_norm: 20.0115 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4700 loss: 1.4700 2022/07/30 05:32:20 - mmengine - INFO - Epoch(train) [25][1120/2505] lr: 5.0000e-04 eta: 23:16:55 time: 1.0158 data_time: 0.0497 memory: 32703 grad_norm: 20.7309 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3535 loss: 1.3535 2022/07/30 05:32:39 - mmengine - INFO - Epoch(train) [25][1140/2505] lr: 5.0000e-04 eta: 23:16:35 time: 0.9753 data_time: 0.0291 memory: 32703 grad_norm: 19.6114 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3226 loss: 1.3226 2022/07/30 05:32:59 - mmengine - INFO - Epoch(train) [25][1160/2505] lr: 5.0000e-04 eta: 23:16:15 time: 0.9915 data_time: 0.0302 memory: 32703 grad_norm: 19.5465 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4113 loss: 1.4113 2022/07/30 05:33:19 - mmengine - INFO - Epoch(train) [25][1180/2505] lr: 5.0000e-04 eta: 23:15:54 time: 0.9723 data_time: 0.0275 memory: 32703 grad_norm: 20.0420 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3833 loss: 1.3833 2022/07/30 05:33:39 - mmengine - INFO - Epoch(train) [25][1200/2505] lr: 5.0000e-04 eta: 23:15:35 time: 1.0171 data_time: 0.0261 memory: 32703 grad_norm: 19.5249 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5361 loss: 1.5361 2022/07/30 05:33:58 - mmengine - INFO - Epoch(train) [25][1220/2505] lr: 5.0000e-04 eta: 23:15:13 time: 0.9439 data_time: 0.0477 memory: 32703 grad_norm: 20.1323 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3432 loss: 1.3432 2022/07/30 05:34:17 - mmengine - INFO - Epoch(train) [25][1240/2505] lr: 5.0000e-04 eta: 23:14:53 time: 0.9722 data_time: 0.0319 memory: 32703 grad_norm: 20.2699 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2471 loss: 1.2471 2022/07/30 05:34:38 - mmengine - INFO - Epoch(train) [25][1260/2505] lr: 5.0000e-04 eta: 23:14:34 time: 1.0555 data_time: 0.0306 memory: 32703 grad_norm: 19.2011 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5945 loss: 1.5945 2022/07/30 05:34:57 - mmengine - INFO - Epoch(train) [25][1280/2505] lr: 5.0000e-04 eta: 23:14:12 time: 0.9179 data_time: 0.0283 memory: 32703 grad_norm: 19.7640 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1837 loss: 1.1837 2022/07/30 05:35:18 - mmengine - INFO - Epoch(train) [25][1300/2505] lr: 5.0000e-04 eta: 23:13:55 time: 1.0781 data_time: 0.0267 memory: 32703 grad_norm: 19.0845 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2503 loss: 1.2503 2022/07/30 05:35:37 - mmengine - INFO - Epoch(train) [25][1320/2505] lr: 5.0000e-04 eta: 23:13:33 time: 0.9249 data_time: 0.0274 memory: 32703 grad_norm: 20.0469 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4929 loss: 1.4929 2022/07/30 05:35:59 - mmengine - INFO - Epoch(train) [25][1340/2505] lr: 5.0000e-04 eta: 23:13:15 time: 1.0888 data_time: 0.0350 memory: 32703 grad_norm: 19.9507 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3561 loss: 1.3561 2022/07/30 05:36:16 - mmengine - INFO - Epoch(train) [25][1360/2505] lr: 5.0000e-04 eta: 23:12:52 time: 0.8645 data_time: 0.0272 memory: 32703 grad_norm: 20.1697 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3117 loss: 1.3117 2022/07/30 05:36:39 - mmengine - INFO - Epoch(train) [25][1380/2505] lr: 5.0000e-04 eta: 23:12:36 time: 1.1529 data_time: 0.0281 memory: 32703 grad_norm: 19.8117 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3013 loss: 1.3013 2022/07/30 05:36:56 - mmengine - INFO - Epoch(train) [25][1400/2505] lr: 5.0000e-04 eta: 23:12:12 time: 0.8644 data_time: 0.0272 memory: 32703 grad_norm: 19.6056 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4131 loss: 1.4131 2022/07/30 05:37:17 - mmengine - INFO - Epoch(train) [25][1420/2505] lr: 5.0000e-04 eta: 23:11:54 time: 1.0570 data_time: 0.0282 memory: 32703 grad_norm: 19.4714 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3263 loss: 1.3263 2022/07/30 05:37:36 - mmengine - INFO - Epoch(train) [25][1440/2505] lr: 5.0000e-04 eta: 23:11:33 time: 0.9475 data_time: 0.0268 memory: 32703 grad_norm: 19.7552 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5806 loss: 1.5806 2022/07/30 05:37:58 - mmengine - INFO - Epoch(train) [25][1460/2505] lr: 5.0000e-04 eta: 23:11:15 time: 1.0632 data_time: 0.0292 memory: 32703 grad_norm: 19.2548 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4297 loss: 1.4297 2022/07/30 05:38:16 - mmengine - INFO - Epoch(train) [25][1480/2505] lr: 5.0000e-04 eta: 23:10:52 time: 0.9135 data_time: 0.0275 memory: 32703 grad_norm: 19.6617 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3885 loss: 1.3885 2022/07/30 05:38:37 - mmengine - INFO - Epoch(train) [25][1500/2505] lr: 5.0000e-04 eta: 23:10:33 time: 1.0376 data_time: 0.0264 memory: 32703 grad_norm: 20.1974 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.7483 loss: 1.7483 2022/07/30 05:38:54 - mmengine - INFO - Epoch(train) [25][1520/2505] lr: 5.0000e-04 eta: 23:10:10 time: 0.8801 data_time: 0.0280 memory: 32703 grad_norm: 19.6986 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5277 loss: 1.5277 2022/07/30 05:39:15 - mmengine - INFO - Epoch(train) [25][1540/2505] lr: 5.0000e-04 eta: 23:09:52 time: 1.0421 data_time: 0.0247 memory: 32703 grad_norm: 20.0621 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2357 loss: 1.2357 2022/07/30 05:39:33 - mmengine - INFO - Epoch(train) [25][1560/2505] lr: 5.0000e-04 eta: 23:09:29 time: 0.8855 data_time: 0.0276 memory: 32703 grad_norm: 20.0999 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3848 loss: 1.3848 2022/07/30 05:39:54 - mmengine - INFO - Epoch(train) [25][1580/2505] lr: 5.0000e-04 eta: 23:09:11 time: 1.0727 data_time: 0.0268 memory: 32703 grad_norm: 18.9797 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2779 loss: 1.2779 2022/07/30 05:40:13 - mmengine - INFO - Epoch(train) [25][1600/2505] lr: 5.0000e-04 eta: 23:08:50 time: 0.9494 data_time: 0.0340 memory: 32703 grad_norm: 18.8229 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.1559 loss: 1.1559 2022/07/30 05:40:35 - mmengine - INFO - Epoch(train) [25][1620/2505] lr: 5.0000e-04 eta: 23:08:32 time: 1.0883 data_time: 0.0266 memory: 32703 grad_norm: 19.2178 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5346 loss: 1.5346 2022/07/30 05:40:53 - mmengine - INFO - Epoch(train) [25][1640/2505] lr: 5.0000e-04 eta: 23:08:10 time: 0.9034 data_time: 0.0282 memory: 32703 grad_norm: 19.5280 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3082 loss: 1.3082 2022/07/30 05:41:14 - mmengine - INFO - Epoch(train) [25][1660/2505] lr: 5.0000e-04 eta: 23:07:51 time: 1.0482 data_time: 0.0280 memory: 32703 grad_norm: 18.7379 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4392 loss: 1.4392 2022/07/30 05:41:33 - mmengine - INFO - Epoch(train) [25][1680/2505] lr: 5.0000e-04 eta: 23:07:29 time: 0.9336 data_time: 0.0297 memory: 32703 grad_norm: 19.1342 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3986 loss: 1.3986 2022/07/30 05:41:53 - mmengine - INFO - Epoch(train) [25][1700/2505] lr: 5.0000e-04 eta: 23:07:11 time: 1.0366 data_time: 0.0310 memory: 32703 grad_norm: 19.9021 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4917 loss: 1.4917 2022/07/30 05:42:12 - mmengine - INFO - Epoch(train) [25][1720/2505] lr: 5.0000e-04 eta: 23:06:48 time: 0.9049 data_time: 0.0287 memory: 32703 grad_norm: 18.8877 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2578 loss: 1.2578 2022/07/30 05:42:33 - mmengine - INFO - Epoch(train) [25][1740/2505] lr: 5.0000e-04 eta: 23:06:30 time: 1.0622 data_time: 0.0275 memory: 32703 grad_norm: 19.6790 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4676 loss: 1.4676 2022/07/30 05:42:51 - mmengine - INFO - Epoch(train) [25][1760/2505] lr: 5.0000e-04 eta: 23:06:08 time: 0.9073 data_time: 0.0308 memory: 32703 grad_norm: 19.3606 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4824 loss: 1.4824 2022/07/30 05:43:12 - mmengine - INFO - Epoch(train) [25][1780/2505] lr: 5.0000e-04 eta: 23:05:50 time: 1.0690 data_time: 0.0281 memory: 32703 grad_norm: 18.9875 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6534 loss: 1.6534 2022/07/30 05:43:31 - mmengine - INFO - Epoch(train) [25][1800/2505] lr: 5.0000e-04 eta: 23:05:28 time: 0.9329 data_time: 0.0314 memory: 32703 grad_norm: 19.5937 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3107 loss: 1.3107 2022/07/30 05:43:53 - mmengine - INFO - Epoch(train) [25][1820/2505] lr: 5.0000e-04 eta: 23:05:10 time: 1.0903 data_time: 0.0317 memory: 32703 grad_norm: 20.2921 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3811 loss: 1.3811 2022/07/30 05:44:11 - mmengine - INFO - Epoch(train) [25][1840/2505] lr: 5.0000e-04 eta: 23:04:48 time: 0.9061 data_time: 0.0314 memory: 32703 grad_norm: 18.7632 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.3383 loss: 1.3383 2022/07/30 05:44:32 - mmengine - INFO - Epoch(train) [25][1860/2505] lr: 5.0000e-04 eta: 23:04:29 time: 1.0489 data_time: 0.0292 memory: 32703 grad_norm: 19.3492 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6200 loss: 1.6200 2022/07/30 05:44:50 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 05:44:50 - mmengine - INFO - Epoch(train) [25][1880/2505] lr: 5.0000e-04 eta: 23:04:07 time: 0.8964 data_time: 0.0330 memory: 32703 grad_norm: 19.6023 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5057 loss: 1.5057 2022/07/30 05:45:11 - mmengine - INFO - Epoch(train) [25][1900/2505] lr: 5.0000e-04 eta: 23:03:49 time: 1.0622 data_time: 0.0315 memory: 32703 grad_norm: 19.3002 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4756 loss: 1.4756 2022/07/30 05:45:29 - mmengine - INFO - Epoch(train) [25][1920/2505] lr: 5.0000e-04 eta: 23:03:26 time: 0.8893 data_time: 0.0314 memory: 32703 grad_norm: 19.3322 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4619 loss: 1.4619 2022/07/30 05:45:50 - mmengine - INFO - Epoch(train) [25][1940/2505] lr: 5.0000e-04 eta: 23:03:07 time: 1.0541 data_time: 0.0283 memory: 32703 grad_norm: 19.9082 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3587 loss: 1.3587 2022/07/30 05:46:09 - mmengine - INFO - Epoch(train) [25][1960/2505] lr: 5.0000e-04 eta: 23:02:46 time: 0.9306 data_time: 0.0279 memory: 32703 grad_norm: 19.8409 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.3395 loss: 1.3395 2022/07/30 05:46:29 - mmengine - INFO - Epoch(train) [25][1980/2505] lr: 5.0000e-04 eta: 23:02:27 time: 1.0443 data_time: 0.0316 memory: 32703 grad_norm: 20.3109 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.3855 loss: 1.3855 2022/07/30 05:46:48 - mmengine - INFO - Epoch(train) [25][2000/2505] lr: 5.0000e-04 eta: 23:02:04 time: 0.9009 data_time: 0.0282 memory: 32703 grad_norm: 18.4817 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2738 loss: 1.2738 2022/07/30 05:47:09 - mmengine - INFO - Epoch(train) [25][2020/2505] lr: 5.0000e-04 eta: 23:01:46 time: 1.0600 data_time: 0.0304 memory: 32703 grad_norm: 20.1211 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3440 loss: 1.3440 2022/07/30 05:47:27 - mmengine - INFO - Epoch(train) [25][2040/2505] lr: 5.0000e-04 eta: 23:01:24 time: 0.8973 data_time: 0.0284 memory: 32703 grad_norm: 20.2092 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2536 loss: 1.2536 2022/07/30 05:47:48 - mmengine - INFO - Epoch(train) [25][2060/2505] lr: 5.0000e-04 eta: 23:01:05 time: 1.0584 data_time: 0.0323 memory: 32703 grad_norm: 19.8439 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3353 loss: 1.3353 2022/07/30 05:48:06 - mmengine - INFO - Epoch(train) [25][2080/2505] lr: 5.0000e-04 eta: 23:00:43 time: 0.8974 data_time: 0.0276 memory: 32703 grad_norm: 20.2768 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5629 loss: 1.5629 2022/07/30 05:48:27 - mmengine - INFO - Epoch(train) [25][2100/2505] lr: 5.0000e-04 eta: 23:00:25 time: 1.0646 data_time: 0.0316 memory: 32703 grad_norm: 19.6110 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3967 loss: 1.3967 2022/07/30 05:48:45 - mmengine - INFO - Epoch(train) [25][2120/2505] lr: 5.0000e-04 eta: 23:00:02 time: 0.9134 data_time: 0.0287 memory: 32703 grad_norm: 19.6084 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5507 loss: 1.5507 2022/07/30 05:49:06 - mmengine - INFO - Epoch(train) [25][2140/2505] lr: 5.0000e-04 eta: 22:59:44 time: 1.0548 data_time: 0.0319 memory: 32703 grad_norm: 18.7279 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3496 loss: 1.3496 2022/07/30 05:49:24 - mmengine - INFO - Epoch(train) [25][2160/2505] lr: 5.0000e-04 eta: 22:59:21 time: 0.8738 data_time: 0.0295 memory: 32703 grad_norm: 18.5133 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.3643 loss: 1.3643 2022/07/30 05:49:45 - mmengine - INFO - Epoch(train) [25][2180/2505] lr: 5.0000e-04 eta: 22:59:02 time: 1.0335 data_time: 0.0290 memory: 32703 grad_norm: 19.6657 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.4403 loss: 1.4403 2022/07/30 05:50:03 - mmengine - INFO - Epoch(train) [25][2200/2505] lr: 5.0000e-04 eta: 22:58:40 time: 0.9322 data_time: 0.0295 memory: 32703 grad_norm: 19.6406 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3699 loss: 1.3699 2022/07/30 05:50:24 - mmengine - INFO - Epoch(train) [25][2220/2505] lr: 5.0000e-04 eta: 22:58:21 time: 1.0364 data_time: 0.0293 memory: 32703 grad_norm: 19.6505 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3992 loss: 1.3992 2022/07/30 05:50:43 - mmengine - INFO - Epoch(train) [25][2240/2505] lr: 5.0000e-04 eta: 22:58:01 time: 0.9724 data_time: 0.0295 memory: 32703 grad_norm: 19.2358 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1845 loss: 1.1845 2022/07/30 05:51:04 - mmengine - INFO - Epoch(train) [25][2260/2505] lr: 5.0000e-04 eta: 22:57:41 time: 1.0062 data_time: 0.0273 memory: 32703 grad_norm: 19.9473 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4835 loss: 1.4835 2022/07/30 05:51:23 - mmengine - INFO - Epoch(train) [25][2280/2505] lr: 5.0000e-04 eta: 22:57:21 time: 0.9843 data_time: 0.0292 memory: 32703 grad_norm: 19.4248 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3497 loss: 1.3497 2022/07/30 05:51:43 - mmengine - INFO - Epoch(train) [25][2300/2505] lr: 5.0000e-04 eta: 22:57:01 time: 1.0074 data_time: 0.0271 memory: 32703 grad_norm: 19.2054 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4520 loss: 1.4520 2022/07/30 05:52:03 - mmengine - INFO - Epoch(train) [25][2320/2505] lr: 5.0000e-04 eta: 22:56:41 time: 0.9905 data_time: 0.0259 memory: 32703 grad_norm: 19.9194 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3224 loss: 1.3224 2022/07/30 05:52:22 - mmengine - INFO - Epoch(train) [25][2340/2505] lr: 5.0000e-04 eta: 22:56:20 time: 0.9584 data_time: 0.0319 memory: 32703 grad_norm: 20.0298 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.5770 loss: 1.5770 2022/07/30 05:52:42 - mmengine - INFO - Epoch(train) [25][2360/2505] lr: 5.0000e-04 eta: 22:55:59 time: 0.9737 data_time: 0.0270 memory: 32703 grad_norm: 18.5728 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.3577 loss: 1.3577 2022/07/30 05:53:03 - mmengine - INFO - Epoch(train) [25][2380/2505] lr: 5.0000e-04 eta: 22:55:41 time: 1.0386 data_time: 0.0278 memory: 32703 grad_norm: 19.0715 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3501 loss: 1.3501 2022/07/30 05:53:22 - mmengine - INFO - Epoch(train) [25][2400/2505] lr: 5.0000e-04 eta: 22:55:20 time: 0.9602 data_time: 0.0279 memory: 32703 grad_norm: 19.1036 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3599 loss: 1.3599 2022/07/30 05:53:42 - mmengine - INFO - Epoch(train) [25][2420/2505] lr: 5.0000e-04 eta: 22:55:00 time: 1.0081 data_time: 0.0267 memory: 32703 grad_norm: 20.0869 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4359 loss: 1.4359 2022/07/30 05:54:02 - mmengine - INFO - Epoch(train) [25][2440/2505] lr: 5.0000e-04 eta: 22:54:40 time: 1.0059 data_time: 0.0292 memory: 32703 grad_norm: 19.3325 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2332 loss: 1.2332 2022/07/30 05:54:22 - mmengine - INFO - Epoch(train) [25][2460/2505] lr: 5.0000e-04 eta: 22:54:20 time: 0.9729 data_time: 0.0263 memory: 32703 grad_norm: 19.2759 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6004 loss: 1.6004 2022/07/30 05:54:41 - mmengine - INFO - Epoch(train) [25][2480/2505] lr: 5.0000e-04 eta: 22:53:59 time: 0.9642 data_time: 0.0275 memory: 32703 grad_norm: 18.8679 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4119 loss: 1.4119 2022/07/30 05:54:59 - mmengine - INFO - Epoch(train) [25][2500/2505] lr: 5.0000e-04 eta: 22:53:37 time: 0.9181 data_time: 0.0281 memory: 32703 grad_norm: 19.8898 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4686 loss: 1.4686 2022/07/30 05:55:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 05:55:02 - mmengine - INFO - Epoch(train) [25][2505/2505] lr: 5.0000e-04 eta: 22:53:37 time: 0.7537 data_time: 0.0213 memory: 32703 grad_norm: 20.3805 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.5446 loss: 1.5446 2022/07/30 05:55:29 - mmengine - INFO - Epoch(train) [26][20/2505] lr: 5.0000e-04 eta: 22:53:14 time: 1.3391 data_time: 0.7383 memory: 32703 grad_norm: 19.5791 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3429 loss: 1.3429 2022/07/30 05:55:47 - mmengine - INFO - Epoch(train) [26][40/2505] lr: 5.0000e-04 eta: 22:52:52 time: 0.9108 data_time: 0.2787 memory: 32703 grad_norm: 20.6536 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4646 loss: 1.4646 2022/07/30 05:56:09 - mmengine - INFO - Epoch(train) [26][60/2505] lr: 5.0000e-04 eta: 22:52:34 time: 1.0704 data_time: 0.3616 memory: 32703 grad_norm: 19.8391 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2548 loss: 1.2548 2022/07/30 05:56:27 - mmengine - INFO - Epoch(train) [26][80/2505] lr: 5.0000e-04 eta: 22:52:12 time: 0.9204 data_time: 0.2172 memory: 32703 grad_norm: 20.7267 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5373 loss: 1.5373 2022/07/30 05:56:48 - mmengine - INFO - Epoch(train) [26][100/2505] lr: 5.0000e-04 eta: 22:51:53 time: 1.0400 data_time: 0.3118 memory: 32703 grad_norm: 18.8744 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5032 loss: 1.5032 2022/07/30 05:57:06 - mmengine - INFO - Epoch(train) [26][120/2505] lr: 5.0000e-04 eta: 22:51:31 time: 0.9068 data_time: 0.1364 memory: 32703 grad_norm: 19.8619 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6527 loss: 1.6527 2022/07/30 05:57:28 - mmengine - INFO - Epoch(train) [26][140/2505] lr: 5.0000e-04 eta: 22:51:13 time: 1.0826 data_time: 0.3772 memory: 32703 grad_norm: 19.4965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5158 loss: 1.5158 2022/07/30 05:57:45 - mmengine - INFO - Epoch(train) [26][160/2505] lr: 5.0000e-04 eta: 22:50:51 time: 0.8850 data_time: 0.1271 memory: 32703 grad_norm: 19.2367 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2555 loss: 1.2555 2022/07/30 05:58:07 - mmengine - INFO - Epoch(train) [26][180/2505] lr: 5.0000e-04 eta: 22:50:33 time: 1.0924 data_time: 0.1816 memory: 32703 grad_norm: 18.8725 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3165 loss: 1.3165 2022/07/30 05:58:25 - mmengine - INFO - Epoch(train) [26][200/2505] lr: 5.0000e-04 eta: 22:50:11 time: 0.9029 data_time: 0.0409 memory: 32703 grad_norm: 20.1273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1802 loss: 1.1802 2022/07/30 05:58:48 - mmengine - INFO - Epoch(train) [26][220/2505] lr: 5.0000e-04 eta: 22:49:54 time: 1.1387 data_time: 0.0278 memory: 32703 grad_norm: 19.8560 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4829 loss: 1.4829 2022/07/30 05:59:06 - mmengine - INFO - Epoch(train) [26][240/2505] lr: 5.0000e-04 eta: 22:49:32 time: 0.9170 data_time: 0.0264 memory: 32703 grad_norm: 20.0659 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5272 loss: 1.5272 2022/07/30 05:59:28 - mmengine - INFO - Epoch(train) [26][260/2505] lr: 5.0000e-04 eta: 22:49:14 time: 1.0655 data_time: 0.0284 memory: 32703 grad_norm: 19.3752 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2272 loss: 1.2272 2022/07/30 05:59:45 - mmengine - INFO - Epoch(train) [26][280/2505] lr: 5.0000e-04 eta: 22:48:51 time: 0.8687 data_time: 0.0279 memory: 32703 grad_norm: 19.5869 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5310 loss: 1.5310 2022/07/30 06:00:07 - mmengine - INFO - Epoch(train) [26][300/2505] lr: 5.0000e-04 eta: 22:48:34 time: 1.1117 data_time: 0.0271 memory: 32703 grad_norm: 18.6706 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2929 loss: 1.2929 2022/07/30 06:00:25 - mmengine - INFO - Epoch(train) [26][320/2505] lr: 5.0000e-04 eta: 22:48:12 time: 0.9052 data_time: 0.0301 memory: 32703 grad_norm: 20.0560 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5034 loss: 1.5034 2022/07/30 06:00:46 - mmengine - INFO - Epoch(train) [26][340/2505] lr: 5.0000e-04 eta: 22:47:53 time: 1.0270 data_time: 0.0262 memory: 32703 grad_norm: 19.0603 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3383 loss: 1.3383 2022/07/30 06:01:04 - mmengine - INFO - Epoch(train) [26][360/2505] lr: 5.0000e-04 eta: 22:47:30 time: 0.9097 data_time: 0.0268 memory: 32703 grad_norm: 19.9373 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3208 loss: 1.3208 2022/07/30 06:01:19 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 06:01:25 - mmengine - INFO - Epoch(train) [26][380/2505] lr: 5.0000e-04 eta: 22:47:11 time: 1.0348 data_time: 0.0285 memory: 32703 grad_norm: 19.8944 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3563 loss: 1.3563 2022/07/30 06:01:45 - mmengine - INFO - Epoch(train) [26][400/2505] lr: 5.0000e-04 eta: 22:46:51 time: 0.9896 data_time: 0.0270 memory: 32703 grad_norm: 19.5157 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2078 loss: 1.2078 2022/07/30 06:02:05 - mmengine - INFO - Epoch(train) [26][420/2505] lr: 5.0000e-04 eta: 22:46:32 time: 1.0263 data_time: 0.0281 memory: 32703 grad_norm: 19.4544 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.4894 loss: 1.4894 2022/07/30 06:02:24 - mmengine - INFO - Epoch(train) [26][440/2505] lr: 5.0000e-04 eta: 22:46:11 time: 0.9476 data_time: 0.0334 memory: 32703 grad_norm: 20.1550 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4318 loss: 1.4318 2022/07/30 06:02:45 - mmengine - INFO - Epoch(train) [26][460/2505] lr: 5.0000e-04 eta: 22:45:52 time: 1.0319 data_time: 0.0299 memory: 32703 grad_norm: 19.8989 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2750 loss: 1.2750 2022/07/30 06:03:03 - mmengine - INFO - Epoch(train) [26][480/2505] lr: 5.0000e-04 eta: 22:45:30 time: 0.9391 data_time: 0.0263 memory: 32703 grad_norm: 20.4021 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5793 loss: 1.5793 2022/07/30 06:03:23 - mmengine - INFO - Epoch(train) [26][500/2505] lr: 5.0000e-04 eta: 22:45:11 time: 1.0020 data_time: 0.0405 memory: 32703 grad_norm: 19.6554 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2402 loss: 1.2402 2022/07/30 06:03:43 - mmengine - INFO - Epoch(train) [26][520/2505] lr: 5.0000e-04 eta: 22:44:50 time: 0.9542 data_time: 0.0903 memory: 32703 grad_norm: 18.6656 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.6708 loss: 1.6708 2022/07/30 06:04:04 - mmengine - INFO - Epoch(train) [26][540/2505] lr: 5.0000e-04 eta: 22:44:32 time: 1.0955 data_time: 0.1176 memory: 32703 grad_norm: 18.8576 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6263 loss: 1.6263 2022/07/30 06:04:22 - mmengine - INFO - Epoch(train) [26][560/2505] lr: 5.0000e-04 eta: 22:44:09 time: 0.8911 data_time: 0.0292 memory: 32703 grad_norm: 19.5196 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3499 loss: 1.3499 2022/07/30 06:04:44 - mmengine - INFO - Epoch(train) [26][580/2505] lr: 5.0000e-04 eta: 22:43:51 time: 1.0659 data_time: 0.0297 memory: 32703 grad_norm: 19.4978 top1_acc: 0.2500 top5_acc: 0.5833 loss_cls: 1.5903 loss: 1.5903 2022/07/30 06:05:03 - mmengine - INFO - Epoch(train) [26][600/2505] lr: 5.0000e-04 eta: 22:43:31 time: 0.9913 data_time: 0.0275 memory: 32703 grad_norm: 19.0719 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3641 loss: 1.3641 2022/07/30 06:05:23 - mmengine - INFO - Epoch(train) [26][620/2505] lr: 5.0000e-04 eta: 22:43:11 time: 0.9665 data_time: 0.0282 memory: 32703 grad_norm: 19.9261 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4521 loss: 1.4521 2022/07/30 06:05:43 - mmengine - INFO - Epoch(train) [26][640/2505] lr: 5.0000e-04 eta: 22:42:51 time: 0.9963 data_time: 0.0281 memory: 32703 grad_norm: 18.7910 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5866 loss: 1.5866 2022/07/30 06:06:03 - mmengine - INFO - Epoch(train) [26][660/2505] lr: 5.0000e-04 eta: 22:42:31 time: 1.0219 data_time: 0.0275 memory: 32703 grad_norm: 19.4337 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3994 loss: 1.3994 2022/07/30 06:06:23 - mmengine - INFO - Epoch(train) [26][680/2505] lr: 5.0000e-04 eta: 22:42:11 time: 0.9681 data_time: 0.0283 memory: 32703 grad_norm: 19.8281 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.5321 loss: 1.5321 2022/07/30 06:06:43 - mmengine - INFO - Epoch(train) [26][700/2505] lr: 5.0000e-04 eta: 22:41:51 time: 0.9992 data_time: 0.0300 memory: 32703 grad_norm: 18.8778 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3224 loss: 1.3224 2022/07/30 06:07:03 - mmengine - INFO - Epoch(train) [26][720/2505] lr: 5.0000e-04 eta: 22:41:32 time: 1.0250 data_time: 0.0285 memory: 32703 grad_norm: 19.6016 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4164 loss: 1.4164 2022/07/30 06:07:22 - mmengine - INFO - Epoch(train) [26][740/2505] lr: 5.0000e-04 eta: 22:41:11 time: 0.9578 data_time: 0.0271 memory: 32703 grad_norm: 19.0001 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3740 loss: 1.3740 2022/07/30 06:07:42 - mmengine - INFO - Epoch(train) [26][760/2505] lr: 5.0000e-04 eta: 22:40:51 time: 1.0106 data_time: 0.0290 memory: 32703 grad_norm: 19.5724 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.5162 loss: 1.5162 2022/07/30 06:08:01 - mmengine - INFO - Epoch(train) [26][780/2505] lr: 5.0000e-04 eta: 22:40:29 time: 0.9068 data_time: 0.0262 memory: 32703 grad_norm: 20.0762 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4140 loss: 1.4140 2022/07/30 06:08:22 - mmengine - INFO - Epoch(train) [26][800/2505] lr: 5.0000e-04 eta: 22:40:10 time: 1.0510 data_time: 0.0287 memory: 32703 grad_norm: 19.2685 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3728 loss: 1.3728 2022/07/30 06:08:41 - mmengine - INFO - Epoch(train) [26][820/2505] lr: 5.0000e-04 eta: 22:39:49 time: 0.9498 data_time: 0.0279 memory: 32703 grad_norm: 18.4644 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.5206 loss: 1.5206 2022/07/30 06:09:01 - mmengine - INFO - Epoch(train) [26][840/2505] lr: 5.0000e-04 eta: 22:39:30 time: 1.0199 data_time: 0.0271 memory: 32703 grad_norm: 20.0161 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3769 loss: 1.3769 2022/07/30 06:09:20 - mmengine - INFO - Epoch(train) [26][860/2505] lr: 5.0000e-04 eta: 22:39:08 time: 0.9296 data_time: 0.0288 memory: 32703 grad_norm: 18.9609 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4155 loss: 1.4155 2022/07/30 06:09:40 - mmengine - INFO - Epoch(train) [26][880/2505] lr: 5.0000e-04 eta: 22:38:48 time: 0.9963 data_time: 0.0263 memory: 32703 grad_norm: 19.4219 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4419 loss: 1.4419 2022/07/30 06:09:57 - mmengine - INFO - Epoch(train) [26][900/2505] lr: 5.0000e-04 eta: 22:38:26 time: 0.8979 data_time: 0.0275 memory: 32703 grad_norm: 19.0072 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4143 loss: 1.4143 2022/07/30 06:10:18 - mmengine - INFO - Epoch(train) [26][920/2505] lr: 5.0000e-04 eta: 22:38:06 time: 0.9956 data_time: 0.0268 memory: 32703 grad_norm: 19.9036 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2399 loss: 1.2399 2022/07/30 06:10:37 - mmengine - INFO - Epoch(train) [26][940/2505] lr: 5.0000e-04 eta: 22:37:46 time: 0.9921 data_time: 0.0374 memory: 32703 grad_norm: 19.1906 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4670 loss: 1.4670 2022/07/30 06:10:57 - mmengine - INFO - Epoch(train) [26][960/2505] lr: 5.0000e-04 eta: 22:37:26 time: 1.0042 data_time: 0.0293 memory: 32703 grad_norm: 18.8534 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0995 loss: 1.0995 2022/07/30 06:11:17 - mmengine - INFO - Epoch(train) [26][980/2505] lr: 5.0000e-04 eta: 22:37:05 time: 0.9591 data_time: 0.0358 memory: 32703 grad_norm: 20.3259 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3451 loss: 1.3451 2022/07/30 06:11:37 - mmengine - INFO - Epoch(train) [26][1000/2505] lr: 5.0000e-04 eta: 22:36:45 time: 1.0158 data_time: 0.0283 memory: 32703 grad_norm: 18.5032 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2227 loss: 1.2227 2022/07/30 06:11:56 - mmengine - INFO - Epoch(train) [26][1020/2505] lr: 5.0000e-04 eta: 22:36:25 time: 0.9732 data_time: 0.0324 memory: 32703 grad_norm: 19.4449 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3043 loss: 1.3043 2022/07/30 06:12:17 - mmengine - INFO - Epoch(train) [26][1040/2505] lr: 5.0000e-04 eta: 22:36:06 time: 1.0436 data_time: 0.0329 memory: 32703 grad_norm: 18.9182 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4434 loss: 1.4434 2022/07/30 06:12:35 - mmengine - INFO - Epoch(train) [26][1060/2505] lr: 5.0000e-04 eta: 22:35:44 time: 0.8985 data_time: 0.0356 memory: 32703 grad_norm: 20.0755 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3829 loss: 1.3829 2022/07/30 06:12:56 - mmengine - INFO - Epoch(train) [26][1080/2505] lr: 5.0000e-04 eta: 22:35:25 time: 1.0497 data_time: 0.0267 memory: 32703 grad_norm: 20.0082 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4764 loss: 1.4764 2022/07/30 06:13:16 - mmengine - INFO - Epoch(train) [26][1100/2505] lr: 5.0000e-04 eta: 22:35:05 time: 0.9764 data_time: 0.0309 memory: 32703 grad_norm: 19.1857 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1897 loss: 1.1897 2022/07/30 06:13:36 - mmengine - INFO - Epoch(train) [26][1120/2505] lr: 5.0000e-04 eta: 22:34:45 time: 1.0082 data_time: 0.0331 memory: 32703 grad_norm: 19.7780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3918 loss: 1.3918 2022/07/30 06:13:56 - mmengine - INFO - Epoch(train) [26][1140/2505] lr: 5.0000e-04 eta: 22:34:25 time: 0.9966 data_time: 0.0322 memory: 32703 grad_norm: 19.4831 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4962 loss: 1.4962 2022/07/30 06:14:16 - mmengine - INFO - Epoch(train) [26][1160/2505] lr: 5.0000e-04 eta: 22:34:05 time: 1.0066 data_time: 0.0339 memory: 32703 grad_norm: 19.1415 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3047 loss: 1.3047 2022/07/30 06:14:35 - mmengine - INFO - Epoch(train) [26][1180/2505] lr: 5.0000e-04 eta: 22:33:45 time: 0.9715 data_time: 0.0489 memory: 32703 grad_norm: 18.4564 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0866 loss: 1.0866 2022/07/30 06:14:56 - mmengine - INFO - Epoch(train) [26][1200/2505] lr: 5.0000e-04 eta: 22:33:25 time: 1.0054 data_time: 0.0333 memory: 32703 grad_norm: 19.2212 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.4440 loss: 1.4440 2022/07/30 06:15:15 - mmengine - INFO - Epoch(train) [26][1220/2505] lr: 5.0000e-04 eta: 22:33:05 time: 0.9765 data_time: 0.0321 memory: 32703 grad_norm: 20.0701 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.3979 loss: 1.3979 2022/07/30 06:15:33 - mmengine - INFO - Epoch(train) [26][1240/2505] lr: 5.0000e-04 eta: 22:32:43 time: 0.9184 data_time: 0.0330 memory: 32703 grad_norm: 19.3238 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1891 loss: 1.1891 2022/07/30 06:15:55 - mmengine - INFO - Epoch(train) [26][1260/2505] lr: 5.0000e-04 eta: 22:32:24 time: 1.0646 data_time: 0.0273 memory: 32703 grad_norm: 19.0323 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5360 loss: 1.5360 2022/07/30 06:16:13 - mmengine - INFO - Epoch(train) [26][1280/2505] lr: 5.0000e-04 eta: 22:32:03 time: 0.9197 data_time: 0.0328 memory: 32703 grad_norm: 21.0220 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4193 loss: 1.4193 2022/07/30 06:16:33 - mmengine - INFO - Epoch(train) [26][1300/2505] lr: 5.0000e-04 eta: 22:31:43 time: 0.9965 data_time: 0.0315 memory: 32703 grad_norm: 20.0326 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4723 loss: 1.4723 2022/07/30 06:16:52 - mmengine - INFO - Epoch(train) [26][1320/2505] lr: 5.0000e-04 eta: 22:31:22 time: 0.9640 data_time: 0.0271 memory: 32703 grad_norm: 19.3535 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4661 loss: 1.4661 2022/07/30 06:17:12 - mmengine - INFO - Epoch(train) [26][1340/2505] lr: 5.0000e-04 eta: 22:31:02 time: 1.0039 data_time: 0.0363 memory: 32703 grad_norm: 20.1539 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3105 loss: 1.3105 2022/07/30 06:17:31 - mmengine - INFO - Epoch(train) [26][1360/2505] lr: 5.0000e-04 eta: 22:30:40 time: 0.9286 data_time: 0.0317 memory: 32703 grad_norm: 18.9770 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3126 loss: 1.3126 2022/07/30 06:17:46 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 06:17:52 - mmengine - INFO - Epoch(train) [26][1380/2505] lr: 5.0000e-04 eta: 22:30:22 time: 1.0532 data_time: 0.0311 memory: 32703 grad_norm: 18.9106 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3387 loss: 1.3387 2022/07/30 06:18:10 - mmengine - INFO - Epoch(train) [26][1400/2505] lr: 5.0000e-04 eta: 22:30:00 time: 0.9076 data_time: 0.0324 memory: 32703 grad_norm: 19.4565 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2562 loss: 1.2562 2022/07/30 06:18:31 - mmengine - INFO - Epoch(train) [26][1420/2505] lr: 5.0000e-04 eta: 22:29:40 time: 1.0194 data_time: 0.0326 memory: 32703 grad_norm: 19.3871 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4031 loss: 1.4031 2022/07/30 06:18:49 - mmengine - INFO - Epoch(train) [26][1440/2505] lr: 5.0000e-04 eta: 22:29:19 time: 0.9454 data_time: 0.0321 memory: 32703 grad_norm: 18.0338 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4456 loss: 1.4456 2022/07/30 06:19:10 - mmengine - INFO - Epoch(train) [26][1460/2505] lr: 5.0000e-04 eta: 22:29:00 time: 1.0175 data_time: 0.0323 memory: 32703 grad_norm: 19.3766 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3411 loss: 1.3411 2022/07/30 06:19:29 - mmengine - INFO - Epoch(train) [26][1480/2505] lr: 5.0000e-04 eta: 22:28:39 time: 0.9586 data_time: 0.0327 memory: 32703 grad_norm: 18.8013 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3720 loss: 1.3720 2022/07/30 06:19:50 - mmengine - INFO - Epoch(train) [26][1500/2505] lr: 5.0000e-04 eta: 22:28:20 time: 1.0448 data_time: 0.0314 memory: 32703 grad_norm: 19.2630 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3070 loss: 1.3070 2022/07/30 06:20:09 - mmengine - INFO - Epoch(train) [26][1520/2505] lr: 5.0000e-04 eta: 22:27:59 time: 0.9386 data_time: 0.0338 memory: 32703 grad_norm: 19.4824 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4258 loss: 1.4258 2022/07/30 06:20:30 - mmengine - INFO - Epoch(train) [26][1540/2505] lr: 5.0000e-04 eta: 22:27:40 time: 1.0639 data_time: 0.0283 memory: 32703 grad_norm: 19.5390 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3592 loss: 1.3592 2022/07/30 06:20:48 - mmengine - INFO - Epoch(train) [26][1560/2505] lr: 5.0000e-04 eta: 22:27:18 time: 0.9145 data_time: 0.0319 memory: 32703 grad_norm: 19.6983 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5840 loss: 1.5840 2022/07/30 06:21:10 - mmengine - INFO - Epoch(train) [26][1580/2505] lr: 5.0000e-04 eta: 22:27:00 time: 1.0611 data_time: 0.0261 memory: 32703 grad_norm: 18.9037 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.2709 loss: 1.2709 2022/07/30 06:21:28 - mmengine - INFO - Epoch(train) [26][1600/2505] lr: 5.0000e-04 eta: 22:26:38 time: 0.9162 data_time: 0.0307 memory: 32703 grad_norm: 19.1093 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3383 loss: 1.3383 2022/07/30 06:21:50 - mmengine - INFO - Epoch(train) [26][1620/2505] lr: 5.0000e-04 eta: 22:26:21 time: 1.0992 data_time: 0.0287 memory: 32703 grad_norm: 19.7809 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5180 loss: 1.5180 2022/07/30 06:22:08 - mmengine - INFO - Epoch(train) [26][1640/2505] lr: 5.0000e-04 eta: 22:25:58 time: 0.8949 data_time: 0.0272 memory: 32703 grad_norm: 19.4700 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3026 loss: 1.3026 2022/07/30 06:22:29 - mmengine - INFO - Epoch(train) [26][1660/2505] lr: 5.0000e-04 eta: 22:25:40 time: 1.0528 data_time: 0.0264 memory: 32703 grad_norm: 19.6781 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5955 loss: 1.5955 2022/07/30 06:22:47 - mmengine - INFO - Epoch(train) [26][1680/2505] lr: 5.0000e-04 eta: 22:25:18 time: 0.9219 data_time: 0.0263 memory: 32703 grad_norm: 19.6378 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6677 loss: 1.6677 2022/07/30 06:23:08 - mmengine - INFO - Epoch(train) [26][1700/2505] lr: 5.0000e-04 eta: 22:25:00 time: 1.0584 data_time: 0.0273 memory: 32703 grad_norm: 19.5482 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.6324 loss: 1.6324 2022/07/30 06:23:26 - mmengine - INFO - Epoch(train) [26][1720/2505] lr: 5.0000e-04 eta: 22:24:37 time: 0.8950 data_time: 0.0322 memory: 32703 grad_norm: 19.5588 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5537 loss: 1.5537 2022/07/30 06:23:47 - mmengine - INFO - Epoch(train) [26][1740/2505] lr: 5.0000e-04 eta: 22:24:18 time: 1.0295 data_time: 0.0299 memory: 32703 grad_norm: 19.0136 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3806 loss: 1.3806 2022/07/30 06:24:05 - mmengine - INFO - Epoch(train) [26][1760/2505] lr: 5.0000e-04 eta: 22:23:56 time: 0.9046 data_time: 0.0262 memory: 32703 grad_norm: 19.5731 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4287 loss: 1.4287 2022/07/30 06:24:27 - mmengine - INFO - Epoch(train) [26][1780/2505] lr: 5.0000e-04 eta: 22:23:38 time: 1.0962 data_time: 0.0288 memory: 32703 grad_norm: 18.7303 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5889 loss: 1.5889 2022/07/30 06:24:45 - mmengine - INFO - Epoch(train) [26][1800/2505] lr: 5.0000e-04 eta: 22:23:16 time: 0.8990 data_time: 0.0285 memory: 32703 grad_norm: 19.5659 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2726 loss: 1.2726 2022/07/30 06:25:07 - mmengine - INFO - Epoch(train) [26][1820/2505] lr: 5.0000e-04 eta: 22:22:58 time: 1.0950 data_time: 0.0294 memory: 32703 grad_norm: 19.2351 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.6426 loss: 1.6426 2022/07/30 06:25:24 - mmengine - INFO - Epoch(train) [26][1840/2505] lr: 5.0000e-04 eta: 22:22:35 time: 0.8637 data_time: 0.0287 memory: 32703 grad_norm: 18.6794 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4479 loss: 1.4479 2022/07/30 06:25:45 - mmengine - INFO - Epoch(train) [26][1860/2505] lr: 5.0000e-04 eta: 22:22:17 time: 1.0671 data_time: 0.0287 memory: 32703 grad_norm: 20.0312 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4413 loss: 1.4413 2022/07/30 06:26:04 - mmengine - INFO - Epoch(train) [26][1880/2505] lr: 5.0000e-04 eta: 22:21:55 time: 0.9179 data_time: 0.0276 memory: 32703 grad_norm: 18.6778 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4146 loss: 1.4146 2022/07/30 06:26:26 - mmengine - INFO - Epoch(train) [26][1900/2505] lr: 5.0000e-04 eta: 22:21:38 time: 1.0915 data_time: 0.0283 memory: 32703 grad_norm: 20.2412 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4230 loss: 1.4230 2022/07/30 06:26:44 - mmengine - INFO - Epoch(train) [26][1920/2505] lr: 5.0000e-04 eta: 22:21:15 time: 0.8982 data_time: 0.0288 memory: 32703 grad_norm: 19.6897 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5995 loss: 1.5995 2022/07/30 06:27:05 - mmengine - INFO - Epoch(train) [26][1940/2505] lr: 5.0000e-04 eta: 22:20:57 time: 1.0651 data_time: 0.0324 memory: 32703 grad_norm: 19.5134 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3852 loss: 1.3852 2022/07/30 06:27:23 - mmengine - INFO - Epoch(train) [26][1960/2505] lr: 5.0000e-04 eta: 22:20:35 time: 0.9230 data_time: 0.0311 memory: 32703 grad_norm: 19.5845 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5202 loss: 1.5202 2022/07/30 06:27:45 - mmengine - INFO - Epoch(train) [26][1980/2505] lr: 5.0000e-04 eta: 22:20:17 time: 1.0658 data_time: 0.0314 memory: 32703 grad_norm: 19.6634 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2153 loss: 1.2153 2022/07/30 06:28:03 - mmengine - INFO - Epoch(train) [26][2000/2505] lr: 5.0000e-04 eta: 22:19:55 time: 0.9063 data_time: 0.0274 memory: 32703 grad_norm: 20.5178 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2930 loss: 1.2930 2022/07/30 06:28:24 - mmengine - INFO - Epoch(train) [26][2020/2505] lr: 5.0000e-04 eta: 22:19:37 time: 1.0647 data_time: 0.0349 memory: 32703 grad_norm: 18.7263 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4135 loss: 1.4135 2022/07/30 06:28:43 - mmengine - INFO - Epoch(train) [26][2040/2505] lr: 5.0000e-04 eta: 22:19:15 time: 0.9169 data_time: 0.0301 memory: 32703 grad_norm: 19.7448 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3266 loss: 1.3266 2022/07/30 06:29:03 - mmengine - INFO - Epoch(train) [26][2060/2505] lr: 5.0000e-04 eta: 22:18:55 time: 1.0241 data_time: 0.0335 memory: 32703 grad_norm: 19.3205 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0945 loss: 1.0945 2022/07/30 06:29:23 - mmengine - INFO - Epoch(train) [26][2080/2505] lr: 5.0000e-04 eta: 22:18:36 time: 1.0202 data_time: 0.0276 memory: 32703 grad_norm: 19.4202 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4570 loss: 1.4570 2022/07/30 06:29:43 - mmengine - INFO - Epoch(train) [26][2100/2505] lr: 5.0000e-04 eta: 22:18:15 time: 0.9663 data_time: 0.0309 memory: 32703 grad_norm: 20.3142 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6928 loss: 1.6928 2022/07/30 06:30:01 - mmengine - INFO - Epoch(train) [26][2120/2505] lr: 5.0000e-04 eta: 22:17:53 time: 0.9092 data_time: 0.0317 memory: 32703 grad_norm: 20.2981 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4458 loss: 1.4458 2022/07/30 06:30:23 - mmengine - INFO - Epoch(train) [26][2140/2505] lr: 5.0000e-04 eta: 22:17:36 time: 1.0997 data_time: 0.0303 memory: 32703 grad_norm: 20.1186 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4104 loss: 1.4104 2022/07/30 06:30:41 - mmengine - INFO - Epoch(train) [26][2160/2505] lr: 5.0000e-04 eta: 22:17:13 time: 0.8966 data_time: 0.0307 memory: 32703 grad_norm: 19.4356 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4269 loss: 1.4269 2022/07/30 06:31:03 - mmengine - INFO - Epoch(train) [26][2180/2505] lr: 5.0000e-04 eta: 22:16:56 time: 1.0958 data_time: 0.0325 memory: 32703 grad_norm: 17.5656 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3282 loss: 1.3282 2022/07/30 06:31:20 - mmengine - INFO - Epoch(train) [26][2200/2505] lr: 5.0000e-04 eta: 22:16:33 time: 0.8658 data_time: 0.0287 memory: 32703 grad_norm: 19.1371 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1520 loss: 1.1520 2022/07/30 06:31:42 - mmengine - INFO - Epoch(train) [26][2220/2505] lr: 5.0000e-04 eta: 22:16:15 time: 1.0875 data_time: 0.0342 memory: 32703 grad_norm: 19.4112 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2885 loss: 1.2885 2022/07/30 06:32:00 - mmengine - INFO - Epoch(train) [26][2240/2505] lr: 5.0000e-04 eta: 22:15:53 time: 0.9237 data_time: 0.0278 memory: 32703 grad_norm: 19.8863 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3056 loss: 1.3056 2022/07/30 06:32:21 - mmengine - INFO - Epoch(train) [26][2260/2505] lr: 5.0000e-04 eta: 22:15:35 time: 1.0524 data_time: 0.0276 memory: 32703 grad_norm: 18.7547 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3756 loss: 1.3756 2022/07/30 06:32:39 - mmengine - INFO - Epoch(train) [26][2280/2505] lr: 5.0000e-04 eta: 22:15:13 time: 0.9008 data_time: 0.0291 memory: 32703 grad_norm: 18.9223 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4064 loss: 1.4064 2022/07/30 06:33:00 - mmengine - INFO - Epoch(train) [26][2300/2505] lr: 5.0000e-04 eta: 22:14:54 time: 1.0419 data_time: 0.0287 memory: 32703 grad_norm: 20.5246 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3935 loss: 1.3935 2022/07/30 06:33:18 - mmengine - INFO - Epoch(train) [26][2320/2505] lr: 5.0000e-04 eta: 22:14:31 time: 0.8976 data_time: 0.0282 memory: 32703 grad_norm: 19.0200 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4338 loss: 1.4338 2022/07/30 06:33:40 - mmengine - INFO - Epoch(train) [26][2340/2505] lr: 5.0000e-04 eta: 22:14:13 time: 1.0794 data_time: 0.0264 memory: 32703 grad_norm: 19.5163 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3943 loss: 1.3943 2022/07/30 06:33:57 - mmengine - INFO - Epoch(train) [26][2360/2505] lr: 5.0000e-04 eta: 22:13:51 time: 0.8848 data_time: 0.0299 memory: 32703 grad_norm: 19.6740 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5842 loss: 1.5842 2022/07/30 06:34:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 06:34:19 - mmengine - INFO - Epoch(train) [26][2380/2505] lr: 5.0000e-04 eta: 22:13:33 time: 1.0857 data_time: 0.0269 memory: 32703 grad_norm: 19.1981 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5799 loss: 1.5799 2022/07/30 06:34:37 - mmengine - INFO - Epoch(train) [26][2400/2505] lr: 5.0000e-04 eta: 22:13:10 time: 0.8793 data_time: 0.0257 memory: 32703 grad_norm: 18.8850 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2548 loss: 1.2548 2022/07/30 06:34:58 - mmengine - INFO - Epoch(train) [26][2420/2505] lr: 5.0000e-04 eta: 22:12:52 time: 1.0565 data_time: 0.0285 memory: 32703 grad_norm: 18.7917 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1930 loss: 1.1930 2022/07/30 06:35:16 - mmengine - INFO - Epoch(train) [26][2440/2505] lr: 5.0000e-04 eta: 22:12:30 time: 0.9199 data_time: 0.0312 memory: 32703 grad_norm: 19.6633 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4417 loss: 1.4417 2022/07/30 06:35:38 - mmengine - INFO - Epoch(train) [26][2460/2505] lr: 5.0000e-04 eta: 22:12:12 time: 1.0894 data_time: 0.0287 memory: 32703 grad_norm: 18.3771 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3370 loss: 1.3370 2022/07/30 06:35:56 - mmengine - INFO - Epoch(train) [26][2480/2505] lr: 5.0000e-04 eta: 22:11:50 time: 0.9089 data_time: 0.0271 memory: 32703 grad_norm: 20.0056 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5925 loss: 1.5925 2022/07/30 06:36:14 - mmengine - INFO - Epoch(train) [26][2500/2505] lr: 5.0000e-04 eta: 22:11:28 time: 0.8913 data_time: 0.0326 memory: 32703 grad_norm: 19.3169 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3483 loss: 1.3483 2022/07/30 06:36:17 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 06:36:17 - mmengine - INFO - Epoch(train) [26][2505/2505] lr: 5.0000e-04 eta: 22:11:28 time: 0.6940 data_time: 0.0230 memory: 32703 grad_norm: 19.2381 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.3371 loss: 1.3371 2022/07/30 06:36:17 - mmengine - INFO - Saving checkpoint at 26 epochs 2022/07/30 06:36:47 - mmengine - INFO - Epoch(train) [27][20/2505] lr: 5.0000e-04 eta: 22:11:03 time: 1.2739 data_time: 0.6655 memory: 32703 grad_norm: 19.8118 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5763 loss: 1.5763 2022/07/30 06:37:06 - mmengine - INFO - Epoch(train) [27][40/2505] lr: 5.0000e-04 eta: 22:10:41 time: 0.9088 data_time: 0.3134 memory: 32703 grad_norm: 19.1959 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3884 loss: 1.3884 2022/07/30 06:37:26 - mmengine - INFO - Epoch(train) [27][60/2505] lr: 5.0000e-04 eta: 22:10:22 time: 1.0288 data_time: 0.4313 memory: 32703 grad_norm: 19.5947 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3883 loss: 1.3883 2022/07/30 06:37:45 - mmengine - INFO - Epoch(train) [27][80/2505] lr: 5.0000e-04 eta: 22:10:01 time: 0.9391 data_time: 0.3248 memory: 32703 grad_norm: 19.9796 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3267 loss: 1.3267 2022/07/30 06:38:06 - mmengine - INFO - Epoch(train) [27][100/2505] lr: 5.0000e-04 eta: 22:09:43 time: 1.0669 data_time: 0.4883 memory: 32703 grad_norm: 18.6255 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1973 loss: 1.1973 2022/07/30 06:38:24 - mmengine - INFO - Epoch(train) [27][120/2505] lr: 5.0000e-04 eta: 22:09:20 time: 0.8892 data_time: 0.2902 memory: 32703 grad_norm: 18.4181 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2775 loss: 1.2775 2022/07/30 06:38:45 - mmengine - INFO - Epoch(train) [27][140/2505] lr: 5.0000e-04 eta: 22:09:01 time: 1.0421 data_time: 0.4407 memory: 32703 grad_norm: 19.3509 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3240 loss: 1.3240 2022/07/30 06:39:03 - mmengine - INFO - Epoch(train) [27][160/2505] lr: 5.0000e-04 eta: 22:08:39 time: 0.9077 data_time: 0.3014 memory: 32703 grad_norm: 20.1391 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.2191 loss: 1.2191 2022/07/30 06:39:24 - mmengine - INFO - Epoch(train) [27][180/2505] lr: 5.0000e-04 eta: 22:08:21 time: 1.0557 data_time: 0.4490 memory: 32703 grad_norm: 20.2117 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4228 loss: 1.4228 2022/07/30 06:39:42 - mmengine - INFO - Epoch(train) [27][200/2505] lr: 5.0000e-04 eta: 22:07:58 time: 0.8982 data_time: 0.3167 memory: 32703 grad_norm: 18.9102 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2995 loss: 1.2995 2022/07/30 06:40:04 - mmengine - INFO - Epoch(train) [27][220/2505] lr: 5.0000e-04 eta: 22:07:41 time: 1.1017 data_time: 0.5123 memory: 32703 grad_norm: 19.7012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4610 loss: 1.4610 2022/07/30 06:40:22 - mmengine - INFO - Epoch(train) [27][240/2505] lr: 5.0000e-04 eta: 22:07:18 time: 0.8907 data_time: 0.3001 memory: 32703 grad_norm: 18.6711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6814 loss: 1.6814 2022/07/30 06:40:44 - mmengine - INFO - Epoch(train) [27][260/2505] lr: 5.0000e-04 eta: 22:07:01 time: 1.0781 data_time: 0.4855 memory: 32703 grad_norm: 19.2905 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6711 loss: 1.6711 2022/07/30 06:41:01 - mmengine - INFO - Epoch(train) [27][280/2505] lr: 5.0000e-04 eta: 22:06:38 time: 0.8815 data_time: 0.2930 memory: 32703 grad_norm: 20.2672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4844 loss: 1.4844 2022/07/30 06:41:23 - mmengine - INFO - Epoch(train) [27][300/2505] lr: 5.0000e-04 eta: 22:06:20 time: 1.0914 data_time: 0.5046 memory: 32703 grad_norm: 18.8791 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5529 loss: 1.5529 2022/07/30 06:41:42 - mmengine - INFO - Epoch(train) [27][320/2505] lr: 5.0000e-04 eta: 22:05:59 time: 0.9382 data_time: 0.3586 memory: 32703 grad_norm: 19.5107 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5954 loss: 1.5954 2022/07/30 06:42:03 - mmengine - INFO - Epoch(train) [27][340/2505] lr: 5.0000e-04 eta: 22:05:40 time: 1.0466 data_time: 0.4529 memory: 32703 grad_norm: 19.6472 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4912 loss: 1.4912 2022/07/30 06:42:21 - mmengine - INFO - Epoch(train) [27][360/2505] lr: 5.0000e-04 eta: 22:05:18 time: 0.8941 data_time: 0.2842 memory: 32703 grad_norm: 20.1054 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.4813 loss: 1.4813 2022/07/30 06:42:42 - mmengine - INFO - Epoch(train) [27][380/2505] lr: 5.0000e-04 eta: 22:04:59 time: 1.0378 data_time: 0.4533 memory: 32703 grad_norm: 19.6199 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2831 loss: 1.2831 2022/07/30 06:42:58 - mmengine - INFO - Epoch(train) [27][400/2505] lr: 5.0000e-04 eta: 22:04:35 time: 0.8454 data_time: 0.2794 memory: 32703 grad_norm: 18.6191 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.4210 loss: 1.4210 2022/07/30 06:43:19 - mmengine - INFO - Epoch(train) [27][420/2505] lr: 5.0000e-04 eta: 22:04:16 time: 1.0474 data_time: 0.4403 memory: 32703 grad_norm: 20.6430 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5466 loss: 1.5466 2022/07/30 06:43:38 - mmengine - INFO - Epoch(train) [27][440/2505] lr: 5.0000e-04 eta: 22:03:55 time: 0.9490 data_time: 0.3506 memory: 32703 grad_norm: 18.8457 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4512 loss: 1.4512 2022/07/30 06:44:00 - mmengine - INFO - Epoch(train) [27][460/2505] lr: 5.0000e-04 eta: 22:03:38 time: 1.0823 data_time: 0.4968 memory: 32703 grad_norm: 19.4316 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5616 loss: 1.5616 2022/07/30 06:44:19 - mmengine - INFO - Epoch(train) [27][480/2505] lr: 5.0000e-04 eta: 22:03:16 time: 0.9340 data_time: 0.3297 memory: 32703 grad_norm: 19.4873 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3438 loss: 1.3438 2022/07/30 06:44:39 - mmengine - INFO - Epoch(train) [27][500/2505] lr: 5.0000e-04 eta: 22:02:57 time: 1.0187 data_time: 0.4208 memory: 32703 grad_norm: 18.8408 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4850 loss: 1.4850 2022/07/30 06:44:57 - mmengine - INFO - Epoch(train) [27][520/2505] lr: 5.0000e-04 eta: 22:02:34 time: 0.8908 data_time: 0.2911 memory: 32703 grad_norm: 18.6575 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5700 loss: 1.5700 2022/07/30 06:45:17 - mmengine - INFO - Epoch(train) [27][540/2505] lr: 5.0000e-04 eta: 22:02:15 time: 1.0284 data_time: 0.3960 memory: 32703 grad_norm: 18.9394 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2234 loss: 1.2234 2022/07/30 06:45:37 - mmengine - INFO - Epoch(train) [27][560/2505] lr: 5.0000e-04 eta: 22:01:55 time: 0.9859 data_time: 0.3573 memory: 32703 grad_norm: 19.4301 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2750 loss: 1.2750 2022/07/30 06:45:57 - mmengine - INFO - Epoch(train) [27][580/2505] lr: 5.0000e-04 eta: 22:01:35 time: 0.9826 data_time: 0.3392 memory: 32703 grad_norm: 19.4310 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2133 loss: 1.2133 2022/07/30 06:46:17 - mmengine - INFO - Epoch(train) [27][600/2505] lr: 5.0000e-04 eta: 22:01:14 time: 0.9839 data_time: 0.2405 memory: 32703 grad_norm: 19.1319 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4555 loss: 1.4555 2022/07/30 06:46:37 - mmengine - INFO - Epoch(train) [27][620/2505] lr: 5.0000e-04 eta: 22:00:55 time: 1.0109 data_time: 0.2908 memory: 32703 grad_norm: 18.4675 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3869 loss: 1.3869 2022/07/30 06:46:57 - mmengine - INFO - Epoch(train) [27][640/2505] lr: 5.0000e-04 eta: 22:00:35 time: 1.0153 data_time: 0.1773 memory: 32703 grad_norm: 19.4922 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3717 loss: 1.3717 2022/07/30 06:47:16 - mmengine - INFO - Epoch(train) [27][660/2505] lr: 5.0000e-04 eta: 22:00:15 time: 0.9713 data_time: 0.0999 memory: 32703 grad_norm: 19.4563 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4149 loss: 1.4149 2022/07/30 06:47:37 - mmengine - INFO - Epoch(train) [27][680/2505] lr: 5.0000e-04 eta: 21:59:56 time: 1.0289 data_time: 0.0583 memory: 32703 grad_norm: 19.0349 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4133 loss: 1.4133 2022/07/30 06:47:56 - mmengine - INFO - Epoch(train) [27][700/2505] lr: 5.0000e-04 eta: 21:59:35 time: 0.9541 data_time: 0.0659 memory: 32703 grad_norm: 20.2235 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 1.5144 loss: 1.5144 2022/07/30 06:48:17 - mmengine - INFO - Epoch(train) [27][720/2505] lr: 5.0000e-04 eta: 21:59:16 time: 1.0309 data_time: 0.0753 memory: 32703 grad_norm: 19.8493 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4084 loss: 1.4084 2022/07/30 06:48:36 - mmengine - INFO - Epoch(train) [27][740/2505] lr: 5.0000e-04 eta: 21:58:55 time: 0.9715 data_time: 0.0436 memory: 32703 grad_norm: 19.7684 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5184 loss: 1.5184 2022/07/30 06:48:58 - mmengine - INFO - Epoch(train) [27][760/2505] lr: 5.0000e-04 eta: 21:58:37 time: 1.0652 data_time: 0.0262 memory: 32703 grad_norm: 19.6995 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4779 loss: 1.4779 2022/07/30 06:49:16 - mmengine - INFO - Epoch(train) [27][780/2505] lr: 5.0000e-04 eta: 21:58:15 time: 0.9252 data_time: 0.0280 memory: 32703 grad_norm: 19.6937 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4757 loss: 1.4757 2022/07/30 06:49:36 - mmengine - INFO - Epoch(train) [27][800/2505] lr: 5.0000e-04 eta: 21:57:55 time: 0.9772 data_time: 0.0270 memory: 32703 grad_norm: 19.6464 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4955 loss: 1.4955 2022/07/30 06:49:55 - mmengine - INFO - Epoch(train) [27][820/2505] lr: 5.0000e-04 eta: 21:57:35 time: 0.9885 data_time: 0.0279 memory: 32703 grad_norm: 19.0924 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3444 loss: 1.3444 2022/07/30 06:50:18 - mmengine - INFO - Epoch(train) [27][840/2505] lr: 5.0000e-04 eta: 21:57:18 time: 1.1112 data_time: 0.0301 memory: 32703 grad_norm: 19.5354 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4440 loss: 1.4440 2022/07/30 06:50:36 - mmengine - INFO - Epoch(train) [27][860/2505] lr: 5.0000e-04 eta: 21:56:55 time: 0.8938 data_time: 0.0267 memory: 32703 grad_norm: 19.2777 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3738 loss: 1.3738 2022/07/30 06:50:44 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 06:50:57 - mmengine - INFO - Epoch(train) [27][880/2505] lr: 5.0000e-04 eta: 21:56:37 time: 1.0835 data_time: 0.0276 memory: 32703 grad_norm: 19.5114 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.2871 loss: 1.2871 2022/07/30 06:51:15 - mmengine - INFO - Epoch(train) [27][900/2505] lr: 5.0000e-04 eta: 21:56:15 time: 0.8919 data_time: 0.0293 memory: 32703 grad_norm: 19.0274 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3962 loss: 1.3962 2022/07/30 06:51:37 - mmengine - INFO - Epoch(train) [27][920/2505] lr: 5.0000e-04 eta: 21:55:58 time: 1.1218 data_time: 0.0295 memory: 32703 grad_norm: 20.7606 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2603 loss: 1.2603 2022/07/30 06:51:55 - mmengine - INFO - Epoch(train) [27][940/2505] lr: 5.0000e-04 eta: 21:55:35 time: 0.8715 data_time: 0.0300 memory: 32703 grad_norm: 19.3201 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3288 loss: 1.3288 2022/07/30 06:52:15 - mmengine - INFO - Epoch(train) [27][960/2505] lr: 5.0000e-04 eta: 21:55:15 time: 1.0029 data_time: 0.0272 memory: 32703 grad_norm: 20.0043 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4672 loss: 1.4672 2022/07/30 06:52:33 - mmengine - INFO - Epoch(train) [27][980/2505] lr: 5.0000e-04 eta: 21:54:53 time: 0.8961 data_time: 0.0326 memory: 32703 grad_norm: 19.8209 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2457 loss: 1.2457 2022/07/30 06:52:54 - mmengine - INFO - Epoch(train) [27][1000/2505] lr: 5.0000e-04 eta: 21:54:35 time: 1.0775 data_time: 0.0341 memory: 32703 grad_norm: 19.7760 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1758 loss: 1.1758 2022/07/30 06:53:12 - mmengine - INFO - Epoch(train) [27][1020/2505] lr: 5.0000e-04 eta: 21:54:13 time: 0.8999 data_time: 0.0304 memory: 32703 grad_norm: 20.0623 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2084 loss: 1.2084 2022/07/30 06:53:35 - mmengine - INFO - Epoch(train) [27][1040/2505] lr: 5.0000e-04 eta: 21:53:56 time: 1.1306 data_time: 0.0289 memory: 32703 grad_norm: 19.4087 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2932 loss: 1.2932 2022/07/30 06:53:52 - mmengine - INFO - Epoch(train) [27][1060/2505] lr: 5.0000e-04 eta: 21:53:32 time: 0.8487 data_time: 0.0267 memory: 32703 grad_norm: 19.4002 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5786 loss: 1.5786 2022/07/30 06:54:13 - mmengine - INFO - Epoch(train) [27][1080/2505] lr: 5.0000e-04 eta: 21:53:14 time: 1.0439 data_time: 0.0364 memory: 32703 grad_norm: 19.3260 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5667 loss: 1.5667 2022/07/30 06:54:31 - mmengine - INFO - Epoch(train) [27][1100/2505] lr: 5.0000e-04 eta: 21:52:52 time: 0.9133 data_time: 0.0283 memory: 32703 grad_norm: 20.4956 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3763 loss: 1.3763 2022/07/30 06:54:53 - mmengine - INFO - Epoch(train) [27][1120/2505] lr: 5.0000e-04 eta: 21:52:35 time: 1.1156 data_time: 0.0293 memory: 32703 grad_norm: 19.5890 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3798 loss: 1.3798 2022/07/30 06:55:11 - mmengine - INFO - Epoch(train) [27][1140/2505] lr: 5.0000e-04 eta: 21:52:12 time: 0.8763 data_time: 0.0295 memory: 32703 grad_norm: 18.7639 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4448 loss: 1.4448 2022/07/30 06:55:33 - mmengine - INFO - Epoch(train) [27][1160/2505] lr: 5.0000e-04 eta: 21:51:55 time: 1.1072 data_time: 0.0294 memory: 32703 grad_norm: 20.0482 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4099 loss: 1.4099 2022/07/30 06:55:51 - mmengine - INFO - Epoch(train) [27][1180/2505] lr: 5.0000e-04 eta: 21:51:32 time: 0.8752 data_time: 0.0279 memory: 32703 grad_norm: 20.5746 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3534 loss: 1.3534 2022/07/30 06:56:11 - mmengine - INFO - Epoch(train) [27][1200/2505] lr: 5.0000e-04 eta: 21:51:13 time: 1.0262 data_time: 0.0271 memory: 32703 grad_norm: 19.6605 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5163 loss: 1.5163 2022/07/30 06:56:29 - mmengine - INFO - Epoch(train) [27][1220/2505] lr: 5.0000e-04 eta: 21:50:50 time: 0.8997 data_time: 0.0345 memory: 32703 grad_norm: 18.6712 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3030 loss: 1.3030 2022/07/30 06:56:50 - mmengine - INFO - Epoch(train) [27][1240/2505] lr: 5.0000e-04 eta: 21:50:32 time: 1.0543 data_time: 0.0272 memory: 32703 grad_norm: 18.9866 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2500 loss: 1.2500 2022/07/30 06:57:08 - mmengine - INFO - Epoch(train) [27][1260/2505] lr: 5.0000e-04 eta: 21:50:09 time: 0.8939 data_time: 0.0325 memory: 32703 grad_norm: 18.7716 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2574 loss: 1.2574 2022/07/30 06:57:30 - mmengine - INFO - Epoch(train) [27][1280/2505] lr: 5.0000e-04 eta: 21:49:51 time: 1.0671 data_time: 0.0284 memory: 32703 grad_norm: 19.3660 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2732 loss: 1.2732 2022/07/30 06:57:48 - mmengine - INFO - Epoch(train) [27][1300/2505] lr: 5.0000e-04 eta: 21:49:29 time: 0.9171 data_time: 0.0310 memory: 32703 grad_norm: 19.7896 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4497 loss: 1.4497 2022/07/30 06:58:09 - mmengine - INFO - Epoch(train) [27][1320/2505] lr: 5.0000e-04 eta: 21:49:10 time: 1.0336 data_time: 0.0274 memory: 32703 grad_norm: 19.6430 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3063 loss: 1.3063 2022/07/30 06:58:27 - mmengine - INFO - Epoch(train) [27][1340/2505] lr: 5.0000e-04 eta: 21:48:48 time: 0.9114 data_time: 0.0305 memory: 32703 grad_norm: 19.2741 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3204 loss: 1.3204 2022/07/30 06:58:48 - mmengine - INFO - Epoch(train) [27][1360/2505] lr: 5.0000e-04 eta: 21:48:30 time: 1.0694 data_time: 0.0321 memory: 32703 grad_norm: 19.6960 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4967 loss: 1.4967 2022/07/30 06:59:06 - mmengine - INFO - Epoch(train) [27][1380/2505] lr: 5.0000e-04 eta: 21:48:08 time: 0.8792 data_time: 0.0258 memory: 32703 grad_norm: 19.5050 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3229 loss: 1.3229 2022/07/30 06:59:27 - mmengine - INFO - Epoch(train) [27][1400/2505] lr: 5.0000e-04 eta: 21:47:49 time: 1.0711 data_time: 0.0347 memory: 32703 grad_norm: 18.9430 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3921 loss: 1.3921 2022/07/30 06:59:46 - mmengine - INFO - Epoch(train) [27][1420/2505] lr: 5.0000e-04 eta: 21:47:27 time: 0.9136 data_time: 0.0306 memory: 32703 grad_norm: 19.4888 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3661 loss: 1.3661 2022/07/30 07:00:07 - mmengine - INFO - Epoch(train) [27][1440/2505] lr: 5.0000e-04 eta: 21:47:09 time: 1.0638 data_time: 0.0344 memory: 32703 grad_norm: 19.0347 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2337 loss: 1.2337 2022/07/30 07:00:25 - mmengine - INFO - Epoch(train) [27][1460/2505] lr: 5.0000e-04 eta: 21:46:47 time: 0.8884 data_time: 0.0275 memory: 32703 grad_norm: 19.0852 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3110 loss: 1.3110 2022/07/30 07:00:46 - mmengine - INFO - Epoch(train) [27][1480/2505] lr: 5.0000e-04 eta: 21:46:28 time: 1.0582 data_time: 0.0308 memory: 32703 grad_norm: 19.4657 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3042 loss: 1.3042 2022/07/30 07:01:04 - mmengine - INFO - Epoch(train) [27][1500/2505] lr: 5.0000e-04 eta: 21:46:06 time: 0.8966 data_time: 0.0299 memory: 32703 grad_norm: 20.0511 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3889 loss: 1.3889 2022/07/30 07:01:24 - mmengine - INFO - Epoch(train) [27][1520/2505] lr: 5.0000e-04 eta: 21:45:47 time: 1.0173 data_time: 0.0261 memory: 32703 grad_norm: 20.0426 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1980 loss: 1.1980 2022/07/30 07:01:42 - mmengine - INFO - Epoch(train) [27][1540/2505] lr: 5.0000e-04 eta: 21:45:25 time: 0.9119 data_time: 0.0257 memory: 32703 grad_norm: 18.7009 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3915 loss: 1.3915 2022/07/30 07:02:03 - mmengine - INFO - Epoch(train) [27][1560/2505] lr: 5.0000e-04 eta: 21:45:06 time: 1.0619 data_time: 0.0703 memory: 32703 grad_norm: 19.5128 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1832 loss: 1.1832 2022/07/30 07:02:22 - mmengine - INFO - Epoch(train) [27][1580/2505] lr: 5.0000e-04 eta: 21:44:44 time: 0.9178 data_time: 0.0473 memory: 32703 grad_norm: 19.4585 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4698 loss: 1.4698 2022/07/30 07:02:42 - mmengine - INFO - Epoch(train) [27][1600/2505] lr: 5.0000e-04 eta: 21:44:25 time: 1.0193 data_time: 0.1152 memory: 32703 grad_norm: 18.4319 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5470 loss: 1.5470 2022/07/30 07:03:02 - mmengine - INFO - Epoch(train) [27][1620/2505] lr: 5.0000e-04 eta: 21:44:04 time: 0.9621 data_time: 0.1346 memory: 32703 grad_norm: 18.6162 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5222 loss: 1.5222 2022/07/30 07:03:22 - mmengine - INFO - Epoch(train) [27][1640/2505] lr: 5.0000e-04 eta: 21:43:46 time: 1.0436 data_time: 0.1148 memory: 32703 grad_norm: 19.2371 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0888 loss: 1.0888 2022/07/30 07:03:41 - mmengine - INFO - Epoch(train) [27][1660/2505] lr: 5.0000e-04 eta: 21:43:24 time: 0.9252 data_time: 0.1485 memory: 32703 grad_norm: 19.5490 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3224 loss: 1.3224 2022/07/30 07:04:01 - mmengine - INFO - Epoch(train) [27][1680/2505] lr: 5.0000e-04 eta: 21:43:04 time: 1.0044 data_time: 0.1828 memory: 32703 grad_norm: 18.9000 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2663 loss: 1.2663 2022/07/30 07:04:20 - mmengine - INFO - Epoch(train) [27][1700/2505] lr: 5.0000e-04 eta: 21:42:44 time: 0.9774 data_time: 0.1942 memory: 32703 grad_norm: 20.1891 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1047 loss: 1.1047 2022/07/30 07:04:41 - mmengine - INFO - Epoch(train) [27][1720/2505] lr: 5.0000e-04 eta: 21:42:25 time: 1.0236 data_time: 0.1480 memory: 32703 grad_norm: 18.9165 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3834 loss: 1.3834 2022/07/30 07:05:01 - mmengine - INFO - Epoch(train) [27][1740/2505] lr: 5.0000e-04 eta: 21:42:05 time: 1.0004 data_time: 0.2933 memory: 32703 grad_norm: 18.7290 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3800 loss: 1.3800 2022/07/30 07:05:21 - mmengine - INFO - Epoch(train) [27][1760/2505] lr: 5.0000e-04 eta: 21:41:45 time: 1.0095 data_time: 0.1695 memory: 32703 grad_norm: 19.7628 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3153 loss: 1.3153 2022/07/30 07:05:41 - mmengine - INFO - Epoch(train) [27][1780/2505] lr: 5.0000e-04 eta: 21:41:25 time: 0.9966 data_time: 0.2652 memory: 32703 grad_norm: 19.2011 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.6127 loss: 1.6127 2022/07/30 07:06:00 - mmengine - INFO - Epoch(train) [27][1800/2505] lr: 5.0000e-04 eta: 21:41:05 time: 0.9689 data_time: 0.2507 memory: 32703 grad_norm: 19.5422 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2971 loss: 1.2971 2022/07/30 07:06:20 - mmengine - INFO - Epoch(train) [27][1820/2505] lr: 5.0000e-04 eta: 21:40:44 time: 0.9855 data_time: 0.3271 memory: 32703 grad_norm: 20.5634 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4199 loss: 1.4199 2022/07/30 07:06:40 - mmengine - INFO - Epoch(train) [27][1840/2505] lr: 5.0000e-04 eta: 21:40:25 time: 1.0100 data_time: 0.0919 memory: 32703 grad_norm: 18.9707 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3470 loss: 1.3470 2022/07/30 07:06:59 - mmengine - INFO - Epoch(train) [27][1860/2505] lr: 5.0000e-04 eta: 21:40:04 time: 0.9433 data_time: 0.1835 memory: 32703 grad_norm: 20.2058 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1591 loss: 1.1591 2022/07/30 07:07:08 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 07:07:19 - mmengine - INFO - Epoch(train) [27][1880/2505] lr: 5.0000e-04 eta: 21:39:44 time: 0.9982 data_time: 0.1164 memory: 32703 grad_norm: 19.6178 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2379 loss: 1.2379 2022/07/30 07:07:38 - mmengine - INFO - Epoch(train) [27][1900/2505] lr: 5.0000e-04 eta: 21:39:22 time: 0.9325 data_time: 0.1037 memory: 32703 grad_norm: 19.2661 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3756 loss: 1.3756 2022/07/30 07:07:59 - mmengine - INFO - Epoch(train) [27][1920/2505] lr: 5.0000e-04 eta: 21:39:04 time: 1.0559 data_time: 0.0301 memory: 32703 grad_norm: 20.1677 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4775 loss: 1.4775 2022/07/30 07:08:18 - mmengine - INFO - Epoch(train) [27][1940/2505] lr: 5.0000e-04 eta: 21:38:42 time: 0.9240 data_time: 0.0309 memory: 32703 grad_norm: 18.7296 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2694 loss: 1.2694 2022/07/30 07:08:39 - mmengine - INFO - Epoch(train) [27][1960/2505] lr: 5.0000e-04 eta: 21:38:24 time: 1.0510 data_time: 0.0285 memory: 32703 grad_norm: 19.1748 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3746 loss: 1.3746 2022/07/30 07:08:58 - mmengine - INFO - Epoch(train) [27][1980/2505] lr: 5.0000e-04 eta: 21:38:03 time: 0.9649 data_time: 0.0273 memory: 32703 grad_norm: 19.5256 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4318 loss: 1.4318 2022/07/30 07:09:18 - mmengine - INFO - Epoch(train) [27][2000/2505] lr: 5.0000e-04 eta: 21:37:44 time: 1.0231 data_time: 0.0269 memory: 32703 grad_norm: 19.9446 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4274 loss: 1.4274 2022/07/30 07:09:37 - mmengine - INFO - Epoch(train) [27][2020/2505] lr: 5.0000e-04 eta: 21:37:22 time: 0.9396 data_time: 0.0280 memory: 32703 grad_norm: 19.9673 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3666 loss: 1.3666 2022/07/30 07:09:59 - mmengine - INFO - Epoch(train) [27][2040/2505] lr: 5.0000e-04 eta: 21:37:04 time: 1.0816 data_time: 0.0294 memory: 32703 grad_norm: 20.0403 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3037 loss: 1.3037 2022/07/30 07:10:17 - mmengine - INFO - Epoch(train) [27][2060/2505] lr: 5.0000e-04 eta: 21:36:43 time: 0.9376 data_time: 0.0301 memory: 32703 grad_norm: 19.1689 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1993 loss: 1.1993 2022/07/30 07:10:38 - mmengine - INFO - Epoch(train) [27][2080/2505] lr: 5.0000e-04 eta: 21:36:24 time: 1.0416 data_time: 0.0275 memory: 32703 grad_norm: 19.4373 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.6003 loss: 1.6003 2022/07/30 07:10:57 - mmengine - INFO - Epoch(train) [27][2100/2505] lr: 5.0000e-04 eta: 21:36:03 time: 0.9243 data_time: 0.0302 memory: 32703 grad_norm: 19.0820 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3318 loss: 1.3318 2022/07/30 07:11:18 - mmengine - INFO - Epoch(train) [27][2120/2505] lr: 5.0000e-04 eta: 21:35:45 time: 1.0736 data_time: 0.0299 memory: 32703 grad_norm: 19.3532 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1725 loss: 1.1725 2022/07/30 07:11:37 - mmengine - INFO - Epoch(train) [27][2140/2505] lr: 5.0000e-04 eta: 21:35:24 time: 0.9559 data_time: 0.0331 memory: 32703 grad_norm: 19.2123 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3873 loss: 1.3873 2022/07/30 07:11:57 - mmengine - INFO - Epoch(train) [27][2160/2505] lr: 5.0000e-04 eta: 21:35:04 time: 1.0030 data_time: 0.0298 memory: 32703 grad_norm: 19.9531 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.2408 loss: 1.2408 2022/07/30 07:12:17 - mmengine - INFO - Epoch(train) [27][2180/2505] lr: 5.0000e-04 eta: 21:34:44 time: 0.9948 data_time: 0.0302 memory: 32703 grad_norm: 19.0863 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4444 loss: 1.4444 2022/07/30 07:12:37 - mmengine - INFO - Epoch(train) [27][2200/2505] lr: 5.0000e-04 eta: 21:34:24 time: 0.9746 data_time: 0.0266 memory: 32703 grad_norm: 20.2251 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3144 loss: 1.3144 2022/07/30 07:12:56 - mmengine - INFO - Epoch(train) [27][2220/2505] lr: 5.0000e-04 eta: 21:34:03 time: 0.9545 data_time: 0.0268 memory: 32703 grad_norm: 19.2860 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4551 loss: 1.4551 2022/07/30 07:13:16 - mmengine - INFO - Epoch(train) [27][2240/2505] lr: 5.0000e-04 eta: 21:33:43 time: 1.0210 data_time: 0.0283 memory: 32703 grad_norm: 19.2657 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4439 loss: 1.4439 2022/07/30 07:13:35 - mmengine - INFO - Epoch(train) [27][2260/2505] lr: 5.0000e-04 eta: 21:33:22 time: 0.9411 data_time: 0.0257 memory: 32703 grad_norm: 18.7119 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4737 loss: 1.4737 2022/07/30 07:13:56 - mmengine - INFO - Epoch(train) [27][2280/2505] lr: 5.0000e-04 eta: 21:33:03 time: 1.0247 data_time: 0.0250 memory: 32703 grad_norm: 18.6791 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3949 loss: 1.3949 2022/07/30 07:14:14 - mmengine - INFO - Epoch(train) [27][2300/2505] lr: 5.0000e-04 eta: 21:32:41 time: 0.9124 data_time: 0.0284 memory: 32703 grad_norm: 19.7380 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3665 loss: 1.3665 2022/07/30 07:14:36 - mmengine - INFO - Epoch(train) [27][2320/2505] lr: 5.0000e-04 eta: 21:32:23 time: 1.0962 data_time: 0.0256 memory: 32703 grad_norm: 18.8895 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3557 loss: 1.3557 2022/07/30 07:14:53 - mmengine - INFO - Epoch(train) [27][2340/2505] lr: 5.0000e-04 eta: 21:32:00 time: 0.8452 data_time: 0.0290 memory: 32703 grad_norm: 19.6486 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2322 loss: 1.2322 2022/07/30 07:15:15 - mmengine - INFO - Epoch(train) [27][2360/2505] lr: 5.0000e-04 eta: 21:31:42 time: 1.0856 data_time: 0.0279 memory: 32703 grad_norm: 19.7942 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2769 loss: 1.2769 2022/07/30 07:15:33 - mmengine - INFO - Epoch(train) [27][2380/2505] lr: 5.0000e-04 eta: 21:31:20 time: 0.9133 data_time: 0.0273 memory: 32703 grad_norm: 19.6934 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5457 loss: 1.5457 2022/07/30 07:15:55 - mmengine - INFO - Epoch(train) [27][2400/2505] lr: 5.0000e-04 eta: 21:31:03 time: 1.1078 data_time: 0.0290 memory: 32703 grad_norm: 19.2535 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5451 loss: 1.5451 2022/07/30 07:16:12 - mmengine - INFO - Epoch(train) [27][2420/2505] lr: 5.0000e-04 eta: 21:30:40 time: 0.8591 data_time: 0.0279 memory: 32703 grad_norm: 18.7735 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5760 loss: 1.5760 2022/07/30 07:16:34 - mmengine - INFO - Epoch(train) [27][2440/2505] lr: 5.0000e-04 eta: 21:30:22 time: 1.0920 data_time: 0.0257 memory: 32703 grad_norm: 20.4855 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3386 loss: 1.3386 2022/07/30 07:16:51 - mmengine - INFO - Epoch(train) [27][2460/2505] lr: 5.0000e-04 eta: 21:29:59 time: 0.8642 data_time: 0.0264 memory: 32703 grad_norm: 19.3397 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.4211 loss: 1.4211 2022/07/30 07:17:12 - mmengine - INFO - Epoch(train) [27][2480/2505] lr: 5.0000e-04 eta: 21:29:40 time: 1.0241 data_time: 0.0267 memory: 32703 grad_norm: 19.0018 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5106 loss: 1.5106 2022/07/30 07:17:29 - mmengine - INFO - Epoch(train) [27][2500/2505] lr: 5.0000e-04 eta: 21:29:16 time: 0.8319 data_time: 0.0367 memory: 32703 grad_norm: 19.2874 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1804 loss: 1.1804 2022/07/30 07:17:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 07:17:31 - mmengine - INFO - Epoch(train) [27][2505/2505] lr: 5.0000e-04 eta: 21:29:16 time: 0.7874 data_time: 0.0220 memory: 32703 grad_norm: 19.4632 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.3615 loss: 1.3615 2022/07/30 07:17:34 - mmengine - INFO - Epoch(val) [27][20/2475] eta: 0:04:47 time: 0.1169 data_time: 0.0897 memory: 817 2022/07/30 07:17:35 - mmengine - INFO - Epoch(val) [27][40/2475] eta: 0:02:55 time: 0.0720 data_time: 0.0431 memory: 817 2022/07/30 07:17:37 - mmengine - INFO - Epoch(val) [27][60/2475] eta: 0:03:57 time: 0.0983 data_time: 0.0711 memory: 817 2022/07/30 07:17:39 - mmengine - INFO - Epoch(val) [27][80/2475] eta: 0:02:59 time: 0.0749 data_time: 0.0473 memory: 817 2022/07/30 07:17:41 - mmengine - INFO - Epoch(val) [27][100/2475] eta: 0:03:55 time: 0.0991 data_time: 0.0697 memory: 817 2022/07/30 07:17:42 - mmengine - INFO - Epoch(val) [27][120/2475] eta: 0:02:50 time: 0.0723 data_time: 0.0439 memory: 817 2022/07/30 07:17:43 - mmengine - INFO - Epoch(val) [27][140/2475] eta: 0:02:47 time: 0.0715 data_time: 0.0406 memory: 817 2022/07/30 07:17:45 - mmengine - INFO - Epoch(val) [27][160/2475] eta: 0:02:43 time: 0.0707 data_time: 0.0420 memory: 817 2022/07/30 07:17:47 - mmengine - INFO - Epoch(val) [27][180/2475] eta: 0:03:19 time: 0.0869 data_time: 0.0604 memory: 817 2022/07/30 07:17:48 - mmengine - INFO - Epoch(val) [27][200/2475] eta: 0:02:52 time: 0.0758 data_time: 0.0489 memory: 817 2022/07/30 07:17:50 - mmengine - INFO - Epoch(val) [27][220/2475] eta: 0:03:18 time: 0.0880 data_time: 0.0600 memory: 817 2022/07/30 07:17:51 - mmengine - INFO - Epoch(val) [27][240/2475] eta: 0:02:52 time: 0.0773 data_time: 0.0511 memory: 817 2022/07/30 07:17:53 - mmengine - INFO - Epoch(val) [27][260/2475] eta: 0:03:16 time: 0.0888 data_time: 0.0619 memory: 817 2022/07/30 07:17:55 - mmengine - INFO - Epoch(val) [27][280/2475] eta: 0:02:43 time: 0.0746 data_time: 0.0454 memory: 817 2022/07/30 07:17:56 - mmengine - INFO - Epoch(val) [27][300/2475] eta: 0:02:58 time: 0.0820 data_time: 0.0558 memory: 817 2022/07/30 07:17:58 - mmengine - INFO - Epoch(val) [27][320/2475] eta: 0:02:47 time: 0.0779 data_time: 0.0490 memory: 817 2022/07/30 07:18:00 - mmengine - INFO - Epoch(val) [27][340/2475] eta: 0:02:56 time: 0.0828 data_time: 0.0548 memory: 817 2022/07/30 07:18:01 - mmengine - INFO - Epoch(val) [27][360/2475] eta: 0:02:22 time: 0.0675 data_time: 0.0399 memory: 817 2022/07/30 07:18:03 - mmengine - INFO - Epoch(val) [27][380/2475] eta: 0:03:05 time: 0.0888 data_time: 0.0622 memory: 817 2022/07/30 07:18:04 - mmengine - INFO - Epoch(val) [27][400/2475] eta: 0:02:50 time: 0.0823 data_time: 0.0435 memory: 817 2022/07/30 07:18:06 - mmengine - INFO - Epoch(val) [27][420/2475] eta: 0:02:29 time: 0.0727 data_time: 0.0422 memory: 817 2022/07/30 07:18:07 - mmengine - INFO - Epoch(val) [27][440/2475] eta: 0:02:26 time: 0.0720 data_time: 0.0457 memory: 817 2022/07/30 07:18:09 - mmengine - INFO - Epoch(val) [27][460/2475] eta: 0:02:40 time: 0.0798 data_time: 0.0536 memory: 817 2022/07/30 07:18:10 - mmengine - INFO - Epoch(val) [27][480/2475] eta: 0:02:21 time: 0.0708 data_time: 0.0439 memory: 817 2022/07/30 07:18:12 - mmengine - INFO - Epoch(val) [27][500/2475] eta: 0:03:02 time: 0.0925 data_time: 0.0645 memory: 817 2022/07/30 07:18:14 - mmengine - INFO - Epoch(val) [27][520/2475] eta: 0:02:23 time: 0.0733 data_time: 0.0468 memory: 817 2022/07/30 07:18:16 - mmengine - INFO - Epoch(val) [27][540/2475] eta: 0:03:05 time: 0.0956 data_time: 0.0657 memory: 817 2022/07/30 07:18:17 - mmengine - INFO - Epoch(val) [27][560/2475] eta: 0:02:12 time: 0.0692 data_time: 0.0415 memory: 817 2022/07/30 07:18:19 - mmengine - INFO - Epoch(val) [27][580/2475] eta: 0:02:51 time: 0.0905 data_time: 0.0632 memory: 817 2022/07/30 07:18:20 - mmengine - INFO - Epoch(val) [27][600/2475] eta: 0:02:46 time: 0.0889 data_time: 0.0609 memory: 817 2022/07/30 07:18:22 - mmengine - INFO - Epoch(val) [27][620/2475] eta: 0:02:41 time: 0.0870 data_time: 0.0593 memory: 817 2022/07/30 07:18:24 - mmengine - INFO - Epoch(val) [27][640/2475] eta: 0:02:17 time: 0.0750 data_time: 0.0486 memory: 817 2022/07/30 07:18:26 - mmengine - INFO - Epoch(val) [27][660/2475] eta: 0:02:51 time: 0.0942 data_time: 0.0617 memory: 817 2022/07/30 07:18:27 - mmengine - INFO - Epoch(val) [27][680/2475] eta: 0:02:02 time: 0.0683 data_time: 0.0408 memory: 817 2022/07/30 07:18:29 - mmengine - INFO - Epoch(val) [27][700/2475] eta: 0:02:47 time: 0.0943 data_time: 0.0674 memory: 817 2022/07/30 07:18:30 - mmengine - INFO - Epoch(val) [27][720/2475] eta: 0:02:06 time: 0.0721 data_time: 0.0432 memory: 817 2022/07/30 07:18:32 - mmengine - INFO - Epoch(val) [27][740/2475] eta: 0:02:19 time: 0.0805 data_time: 0.0525 memory: 817 2022/07/30 07:18:34 - mmengine - INFO - Epoch(val) [27][760/2475] eta: 0:02:21 time: 0.0825 data_time: 0.0542 memory: 817 2022/07/30 07:18:35 - mmengine - INFO - Epoch(val) [27][780/2475] eta: 0:02:08 time: 0.0759 data_time: 0.0427 memory: 817 2022/07/30 07:18:37 - mmengine - INFO - Epoch(val) [27][800/2475] eta: 0:02:03 time: 0.0737 data_time: 0.0472 memory: 817 2022/07/30 07:18:38 - mmengine - INFO - Epoch(val) [27][820/2475] eta: 0:02:12 time: 0.0799 data_time: 0.0514 memory: 817 2022/07/30 07:18:40 - mmengine - INFO - Epoch(val) [27][840/2475] eta: 0:02:21 time: 0.0863 data_time: 0.0544 memory: 817 2022/07/30 07:18:42 - mmengine - INFO - Epoch(val) [27][860/2475] eta: 0:02:13 time: 0.0825 data_time: 0.0549 memory: 817 2022/07/30 07:18:43 - mmengine - INFO - Epoch(val) [27][880/2475] eta: 0:02:28 time: 0.0929 data_time: 0.0625 memory: 817 2022/07/30 07:18:45 - mmengine - INFO - Epoch(val) [27][900/2475] eta: 0:01:54 time: 0.0728 data_time: 0.0361 memory: 817 2022/07/30 07:18:47 - mmengine - INFO - Epoch(val) [27][920/2475] eta: 0:02:27 time: 0.0952 data_time: 0.0661 memory: 817 2022/07/30 07:18:48 - mmengine - INFO - Epoch(val) [27][940/2475] eta: 0:01:50 time: 0.0720 data_time: 0.0451 memory: 817 2022/07/30 07:18:50 - mmengine - INFO - Epoch(val) [27][960/2475] eta: 0:02:17 time: 0.0905 data_time: 0.0628 memory: 817 2022/07/30 07:18:51 - mmengine - INFO - Epoch(val) [27][980/2475] eta: 0:01:39 time: 0.0663 data_time: 0.0392 memory: 817 2022/07/30 07:18:53 - mmengine - INFO - Epoch(val) [27][1000/2475] eta: 0:02:14 time: 0.0912 data_time: 0.0648 memory: 817 2022/07/30 07:18:55 - mmengine - INFO - Epoch(val) [27][1020/2475] eta: 0:01:42 time: 0.0704 data_time: 0.0278 memory: 817 2022/07/30 07:18:56 - mmengine - INFO - Epoch(val) [27][1040/2475] eta: 0:02:02 time: 0.0855 data_time: 0.0572 memory: 817 2022/07/30 07:18:58 - mmengine - INFO - Epoch(val) [27][1060/2475] eta: 0:01:47 time: 0.0757 data_time: 0.0490 memory: 817 2022/07/30 07:19:00 - mmengine - INFO - Epoch(val) [27][1080/2475] eta: 0:02:10 time: 0.0938 data_time: 0.0671 memory: 817 2022/07/30 07:19:01 - mmengine - INFO - Epoch(val) [27][1100/2475] eta: 0:01:38 time: 0.0717 data_time: 0.0433 memory: 817 2022/07/30 07:19:03 - mmengine - INFO - Epoch(val) [27][1120/2475] eta: 0:02:11 time: 0.0967 data_time: 0.0698 memory: 817 2022/07/30 07:19:05 - mmengine - INFO - Epoch(val) [27][1140/2475] eta: 0:01:35 time: 0.0716 data_time: 0.0340 memory: 817 2022/07/30 07:19:06 - mmengine - INFO - Epoch(val) [27][1160/2475] eta: 0:01:51 time: 0.0844 data_time: 0.0579 memory: 817 2022/07/30 07:19:08 - mmengine - INFO - Epoch(val) [27][1180/2475] eta: 0:01:26 time: 0.0665 data_time: 0.0403 memory: 817 2022/07/30 07:19:09 - mmengine - INFO - Epoch(val) [27][1200/2475] eta: 0:01:57 time: 0.0919 data_time: 0.0646 memory: 817 2022/07/30 07:19:11 - mmengine - INFO - Epoch(val) [27][1220/2475] eta: 0:01:22 time: 0.0658 data_time: 0.0396 memory: 817 2022/07/30 07:19:13 - mmengine - INFO - Epoch(val) [27][1240/2475] eta: 0:01:51 time: 0.0906 data_time: 0.0640 memory: 817 2022/07/30 07:19:14 - mmengine - INFO - Epoch(val) [27][1260/2475] eta: 0:01:26 time: 0.0712 data_time: 0.0446 memory: 817 2022/07/30 07:19:16 - mmengine - INFO - Epoch(val) [27][1280/2475] eta: 0:01:53 time: 0.0946 data_time: 0.0617 memory: 817 2022/07/30 07:19:17 - mmengine - INFO - Epoch(val) [27][1300/2475] eta: 0:01:28 time: 0.0750 data_time: 0.0475 memory: 817 2022/07/30 07:19:19 - mmengine - INFO - Epoch(val) [27][1320/2475] eta: 0:01:47 time: 0.0933 data_time: 0.0644 memory: 817 2022/07/30 07:19:20 - mmengine - INFO - Epoch(val) [27][1340/2475] eta: 0:01:10 time: 0.0621 data_time: 0.0358 memory: 817 2022/07/30 07:19:22 - mmengine - INFO - Epoch(val) [27][1360/2475] eta: 0:01:43 time: 0.0926 data_time: 0.0663 memory: 817 2022/07/30 07:19:24 - mmengine - INFO - Epoch(val) [27][1380/2475] eta: 0:01:20 time: 0.0739 data_time: 0.0475 memory: 817 2022/07/30 07:19:26 - mmengine - INFO - Epoch(val) [27][1400/2475] eta: 0:01:30 time: 0.0840 data_time: 0.0541 memory: 817 2022/07/30 07:19:27 - mmengine - INFO - Epoch(val) [27][1420/2475] eta: 0:01:25 time: 0.0813 data_time: 0.0542 memory: 817 2022/07/30 07:19:29 - mmengine - INFO - Epoch(val) [27][1440/2475] eta: 0:01:44 time: 0.1008 data_time: 0.0742 memory: 817 2022/07/30 07:19:30 - mmengine - INFO - Epoch(val) [27][1460/2475] eta: 0:01:03 time: 0.0630 data_time: 0.0354 memory: 817 2022/07/30 07:19:32 - mmengine - INFO - Epoch(val) [27][1480/2475] eta: 0:01:31 time: 0.0922 data_time: 0.0651 memory: 817 2022/07/30 07:19:34 - mmengine - INFO - Epoch(val) [27][1500/2475] eta: 0:01:06 time: 0.0678 data_time: 0.0399 memory: 817 2022/07/30 07:19:35 - mmengine - INFO - Epoch(val) [27][1520/2475] eta: 0:01:07 time: 0.0709 data_time: 0.0352 memory: 817 2022/07/30 07:19:36 - mmengine - INFO - Epoch(val) [27][1540/2475] eta: 0:01:05 time: 0.0701 data_time: 0.0423 memory: 817 2022/07/30 07:19:39 - mmengine - INFO - Epoch(val) [27][1560/2475] eta: 0:01:32 time: 0.1014 data_time: 0.0736 memory: 817 2022/07/30 07:19:40 - mmengine - INFO - Epoch(val) [27][1580/2475] eta: 0:00:58 time: 0.0652 data_time: 0.0382 memory: 817 2022/07/30 07:19:42 - mmengine - INFO - Epoch(val) [27][1600/2475] eta: 0:01:20 time: 0.0922 data_time: 0.0628 memory: 817 2022/07/30 07:19:43 - mmengine - INFO - Epoch(val) [27][1620/2475] eta: 0:01:13 time: 0.0858 data_time: 0.0580 memory: 817 2022/07/30 07:19:45 - mmengine - INFO - Epoch(val) [27][1640/2475] eta: 0:01:02 time: 0.0753 data_time: 0.0466 memory: 817 2022/07/30 07:19:47 - mmengine - INFO - Epoch(val) [27][1660/2475] eta: 0:01:09 time: 0.0854 data_time: 0.0575 memory: 817 2022/07/30 07:19:48 - mmengine - INFO - Epoch(val) [27][1680/2475] eta: 0:00:57 time: 0.0719 data_time: 0.0442 memory: 817 2022/07/30 07:19:50 - mmengine - INFO - Epoch(val) [27][1700/2475] eta: 0:01:13 time: 0.0944 data_time: 0.0661 memory: 817 2022/07/30 07:19:52 - mmengine - INFO - Epoch(val) [27][1720/2475] eta: 0:00:59 time: 0.0792 data_time: 0.0505 memory: 817 2022/07/30 07:19:53 - mmengine - INFO - Epoch(val) [27][1740/2475] eta: 0:01:04 time: 0.0874 data_time: 0.0584 memory: 817 2022/07/30 07:19:55 - mmengine - INFO - Epoch(val) [27][1760/2475] eta: 0:00:52 time: 0.0733 data_time: 0.0417 memory: 817 2022/07/30 07:19:56 - mmengine - INFO - Epoch(val) [27][1780/2475] eta: 0:00:59 time: 0.0855 data_time: 0.0559 memory: 817 2022/07/30 07:19:58 - mmengine - INFO - Epoch(val) [27][1800/2475] eta: 0:00:50 time: 0.0742 data_time: 0.0450 memory: 817 2022/07/30 07:20:00 - mmengine - INFO - Epoch(val) [27][1820/2475] eta: 0:00:59 time: 0.0907 data_time: 0.0620 memory: 817 2022/07/30 07:20:01 - mmengine - INFO - Epoch(val) [27][1840/2475] eta: 0:00:45 time: 0.0722 data_time: 0.0435 memory: 817 2022/07/30 07:20:03 - mmengine - INFO - Epoch(val) [27][1860/2475] eta: 0:01:05 time: 0.1063 data_time: 0.0795 memory: 817 2022/07/30 07:20:05 - mmengine - INFO - Epoch(val) [27][1880/2475] eta: 0:00:47 time: 0.0794 data_time: 0.0450 memory: 817 2022/07/30 07:20:07 - mmengine - INFO - Epoch(val) [27][1900/2475] eta: 0:00:50 time: 0.0884 data_time: 0.0603 memory: 817 2022/07/30 07:20:08 - mmengine - INFO - Epoch(val) [27][1920/2475] eta: 0:00:41 time: 0.0743 data_time: 0.0471 memory: 817 2022/07/30 07:20:10 - mmengine - INFO - Epoch(val) [27][1940/2475] eta: 0:00:45 time: 0.0859 data_time: 0.0595 memory: 817 2022/07/30 07:20:11 - mmengine - INFO - Epoch(val) [27][1960/2475] eta: 0:00:36 time: 0.0703 data_time: 0.0433 memory: 817 2022/07/30 07:20:13 - mmengine - INFO - Epoch(val) [27][1980/2475] eta: 0:00:46 time: 0.0944 data_time: 0.0674 memory: 817 2022/07/30 07:20:15 - mmengine - INFO - Epoch(val) [27][2000/2475] eta: 0:00:34 time: 0.0719 data_time: 0.0441 memory: 817 2022/07/30 07:20:16 - mmengine - INFO - Epoch(val) [27][2020/2475] eta: 0:00:39 time: 0.0862 data_time: 0.0601 memory: 817 2022/07/30 07:20:18 - mmengine - INFO - Epoch(val) [27][2040/2475] eta: 0:00:30 time: 0.0694 data_time: 0.0431 memory: 817 2022/07/30 07:20:20 - mmengine - INFO - Epoch(val) [27][2060/2475] eta: 0:00:36 time: 0.0891 data_time: 0.0588 memory: 817 2022/07/30 07:20:21 - mmengine - INFO - Epoch(val) [27][2080/2475] eta: 0:00:28 time: 0.0726 data_time: 0.0460 memory: 817 2022/07/30 07:20:23 - mmengine - INFO - Epoch(val) [27][2100/2475] eta: 0:00:35 time: 0.0956 data_time: 0.0697 memory: 817 2022/07/30 07:20:24 - mmengine - INFO - Epoch(val) [27][2120/2475] eta: 0:00:25 time: 0.0711 data_time: 0.0443 memory: 817 2022/07/30 07:20:26 - mmengine - INFO - Epoch(val) [27][2140/2475] eta: 0:00:30 time: 0.0920 data_time: 0.0662 memory: 817 2022/07/30 07:20:28 - mmengine - INFO - Epoch(val) [27][2160/2475] eta: 0:00:25 time: 0.0819 data_time: 0.0545 memory: 817 2022/07/30 07:20:30 - mmengine - INFO - Epoch(val) [27][2180/2475] eta: 0:00:25 time: 0.0874 data_time: 0.0591 memory: 817 2022/07/30 07:20:31 - mmengine - INFO - Epoch(val) [27][2200/2475] eta: 0:00:19 time: 0.0722 data_time: 0.0464 memory: 817 2022/07/30 07:20:33 - mmengine - INFO - Epoch(val) [27][2220/2475] eta: 0:00:25 time: 0.0985 data_time: 0.0676 memory: 817 2022/07/30 07:20:35 - mmengine - INFO - Epoch(val) [27][2240/2475] eta: 0:00:20 time: 0.0892 data_time: 0.0490 memory: 817 2022/07/30 07:20:36 - mmengine - INFO - Epoch(val) [27][2260/2475] eta: 0:00:15 time: 0.0729 data_time: 0.0399 memory: 817 2022/07/30 07:20:38 - mmengine - INFO - Epoch(val) [27][2280/2475] eta: 0:00:13 time: 0.0694 data_time: 0.0417 memory: 817 2022/07/30 07:20:39 - mmengine - INFO - Epoch(val) [27][2300/2475] eta: 0:00:15 time: 0.0885 data_time: 0.0597 memory: 817 2022/07/30 07:20:41 - mmengine - INFO - Epoch(val) [27][2320/2475] eta: 0:00:11 time: 0.0749 data_time: 0.0476 memory: 817 2022/07/30 07:20:43 - mmengine - INFO - Epoch(val) [27][2340/2475] eta: 0:00:12 time: 0.0890 data_time: 0.0605 memory: 817 2022/07/30 07:20:44 - mmengine - INFO - Epoch(val) [27][2360/2475] eta: 0:00:08 time: 0.0763 data_time: 0.0449 memory: 817 2022/07/30 07:20:46 - mmengine - INFO - Epoch(val) [27][2380/2475] eta: 0:00:08 time: 0.0844 data_time: 0.0557 memory: 817 2022/07/30 07:20:47 - mmengine - INFO - Epoch(val) [27][2400/2475] eta: 0:00:05 time: 0.0709 data_time: 0.0446 memory: 817 2022/07/30 07:20:49 - mmengine - INFO - Epoch(val) [27][2420/2475] eta: 0:00:05 time: 0.0952 data_time: 0.0673 memory: 817 2022/07/30 07:20:51 - mmengine - INFO - Epoch(val) [27][2440/2475] eta: 0:00:02 time: 0.0656 data_time: 0.0383 memory: 817 2022/07/30 07:20:52 - mmengine - INFO - Epoch(val) [27][2460/2475] eta: 0:00:01 time: 0.0926 data_time: 0.0660 memory: 817 2022/07/30 07:20:55 - mmengine - INFO - Epoch(val) [27][2475/2475] acc/top1: 0.7112 acc/top5: 0.8961 acc/mean1: 0.7111 2022/07/30 07:21:21 - mmengine - INFO - Epoch(train) [28][20/2505] lr: 5.0000e-04 eta: 21:28:53 time: 1.3256 data_time: 0.6738 memory: 32703 grad_norm: 20.1371 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3713 loss: 1.3713 2022/07/30 07:21:40 - mmengine - INFO - Epoch(train) [28][40/2505] lr: 5.0000e-04 eta: 21:28:31 time: 0.9095 data_time: 0.3053 memory: 32703 grad_norm: 19.0121 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3474 loss: 1.3474 2022/07/30 07:22:01 - mmengine - INFO - Epoch(train) [28][60/2505] lr: 5.0000e-04 eta: 21:28:13 time: 1.0712 data_time: 0.2936 memory: 32703 grad_norm: 19.8918 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4430 loss: 1.4430 2022/07/30 07:22:19 - mmengine - INFO - Epoch(train) [28][80/2505] lr: 5.0000e-04 eta: 21:27:51 time: 0.9123 data_time: 0.1275 memory: 32703 grad_norm: 20.7631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9152 loss: 0.9152 2022/07/30 07:22:40 - mmengine - INFO - Epoch(train) [28][100/2505] lr: 5.0000e-04 eta: 21:27:33 time: 1.0542 data_time: 0.1855 memory: 32703 grad_norm: 19.8893 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1314 loss: 1.1314 2022/07/30 07:22:59 - mmengine - INFO - Epoch(train) [28][120/2505] lr: 5.0000e-04 eta: 21:27:11 time: 0.9242 data_time: 0.1274 memory: 32703 grad_norm: 19.6569 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4836 loss: 1.4836 2022/07/30 07:23:21 - mmengine - INFO - Epoch(train) [28][140/2505] lr: 5.0000e-04 eta: 21:26:53 time: 1.0987 data_time: 0.0543 memory: 32703 grad_norm: 19.3688 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.5058 loss: 1.5058 2022/07/30 07:23:39 - mmengine - INFO - Epoch(train) [28][160/2505] lr: 5.0000e-04 eta: 21:26:31 time: 0.8976 data_time: 0.0543 memory: 32703 grad_norm: 19.4749 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4171 loss: 1.4171 2022/07/30 07:24:00 - mmengine - INFO - Epoch(train) [28][180/2505] lr: 5.0000e-04 eta: 21:26:13 time: 1.0617 data_time: 0.0557 memory: 32703 grad_norm: 19.8425 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4114 loss: 1.4114 2022/07/30 07:24:19 - mmengine - INFO - Epoch(train) [28][200/2505] lr: 5.0000e-04 eta: 21:25:52 time: 0.9357 data_time: 0.0293 memory: 32703 grad_norm: 19.3568 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3091 loss: 1.3091 2022/07/30 07:24:40 - mmengine - INFO - Epoch(train) [28][220/2505] lr: 5.0000e-04 eta: 21:25:33 time: 1.0624 data_time: 0.0281 memory: 32703 grad_norm: 19.7133 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3959 loss: 1.3959 2022/07/30 07:24:58 - mmengine - INFO - Epoch(train) [28][240/2505] lr: 5.0000e-04 eta: 21:25:11 time: 0.8886 data_time: 0.0280 memory: 32703 grad_norm: 18.9736 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3935 loss: 1.3935 2022/07/30 07:25:19 - mmengine - INFO - Epoch(train) [28][260/2505] lr: 5.0000e-04 eta: 21:24:53 time: 1.0813 data_time: 0.1179 memory: 32703 grad_norm: 18.6950 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2963 loss: 1.2963 2022/07/30 07:25:38 - mmengine - INFO - Epoch(train) [28][280/2505] lr: 5.0000e-04 eta: 21:24:31 time: 0.9137 data_time: 0.0310 memory: 32703 grad_norm: 18.8668 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3821 loss: 1.3821 2022/07/30 07:25:59 - mmengine - INFO - Epoch(train) [28][300/2505] lr: 5.0000e-04 eta: 21:24:13 time: 1.0895 data_time: 0.0336 memory: 32703 grad_norm: 19.2591 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3766 loss: 1.3766 2022/07/30 07:26:18 - mmengine - INFO - Epoch(train) [28][320/2505] lr: 5.0000e-04 eta: 21:23:52 time: 0.9181 data_time: 0.0283 memory: 32703 grad_norm: 20.0240 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3084 loss: 1.3084 2022/07/30 07:26:39 - mmengine - INFO - Epoch(train) [28][340/2505] lr: 5.0000e-04 eta: 21:23:33 time: 1.0532 data_time: 0.0355 memory: 32703 grad_norm: 18.5044 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4009 loss: 1.4009 2022/07/30 07:26:57 - mmengine - INFO - Epoch(train) [28][360/2505] lr: 5.0000e-04 eta: 21:23:11 time: 0.9040 data_time: 0.0328 memory: 32703 grad_norm: 19.3021 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4316 loss: 1.4316 2022/07/30 07:27:03 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 07:27:18 - mmengine - INFO - Epoch(train) [28][380/2505] lr: 5.0000e-04 eta: 21:22:52 time: 1.0547 data_time: 0.0277 memory: 32703 grad_norm: 19.0479 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2134 loss: 1.2134 2022/07/30 07:27:36 - mmengine - INFO - Epoch(train) [28][400/2505] lr: 5.0000e-04 eta: 21:22:30 time: 0.8863 data_time: 0.0268 memory: 32703 grad_norm: 19.0662 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3885 loss: 1.3885 2022/07/30 07:27:57 - mmengine - INFO - Epoch(train) [28][420/2505] lr: 5.0000e-04 eta: 21:22:11 time: 1.0587 data_time: 0.0274 memory: 32703 grad_norm: 19.4853 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3951 loss: 1.3951 2022/07/30 07:28:15 - mmengine - INFO - Epoch(train) [28][440/2505] lr: 5.0000e-04 eta: 21:21:50 time: 0.9238 data_time: 0.0256 memory: 32703 grad_norm: 19.5862 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4416 loss: 1.4416 2022/07/30 07:28:37 - mmengine - INFO - Epoch(train) [28][460/2505] lr: 5.0000e-04 eta: 21:21:32 time: 1.0940 data_time: 0.0303 memory: 32703 grad_norm: 19.2276 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2466 loss: 1.2466 2022/07/30 07:28:55 - mmengine - INFO - Epoch(train) [28][480/2505] lr: 5.0000e-04 eta: 21:21:09 time: 0.8704 data_time: 0.0268 memory: 32703 grad_norm: 19.5813 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5693 loss: 1.5693 2022/07/30 07:29:18 - mmengine - INFO - Epoch(train) [28][500/2505] lr: 5.0000e-04 eta: 21:20:53 time: 1.1567 data_time: 0.0347 memory: 32703 grad_norm: 19.1396 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4757 loss: 1.4757 2022/07/30 07:29:34 - mmengine - INFO - Epoch(train) [28][520/2505] lr: 5.0000e-04 eta: 21:20:29 time: 0.8169 data_time: 0.0281 memory: 32703 grad_norm: 19.7464 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3058 loss: 1.3058 2022/07/30 07:29:57 - mmengine - INFO - Epoch(train) [28][540/2505] lr: 5.0000e-04 eta: 21:20:12 time: 1.1337 data_time: 0.0265 memory: 32703 grad_norm: 19.5832 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0491 loss: 1.0491 2022/07/30 07:30:15 - mmengine - INFO - Epoch(train) [28][560/2505] lr: 5.0000e-04 eta: 21:19:50 time: 0.8854 data_time: 0.0275 memory: 32703 grad_norm: 19.5253 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3328 loss: 1.3328 2022/07/30 07:30:36 - mmengine - INFO - Epoch(train) [28][580/2505] lr: 5.0000e-04 eta: 21:19:32 time: 1.0870 data_time: 0.0273 memory: 32703 grad_norm: 18.8464 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4488 loss: 1.4488 2022/07/30 07:30:54 - mmengine - INFO - Epoch(train) [28][600/2505] lr: 5.0000e-04 eta: 21:19:10 time: 0.9039 data_time: 0.0275 memory: 32703 grad_norm: 19.6010 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5237 loss: 1.5237 2022/07/30 07:31:18 - mmengine - INFO - Epoch(train) [28][620/2505] lr: 5.0000e-04 eta: 21:18:54 time: 1.1790 data_time: 0.0298 memory: 32703 grad_norm: 19.0255 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3690 loss: 1.3690 2022/07/30 07:31:34 - mmengine - INFO - Epoch(train) [28][640/2505] lr: 5.0000e-04 eta: 21:18:29 time: 0.7776 data_time: 0.0265 memory: 32703 grad_norm: 19.1461 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5143 loss: 1.5143 2022/07/30 07:31:55 - mmengine - INFO - Epoch(train) [28][660/2505] lr: 5.0000e-04 eta: 21:18:10 time: 1.0425 data_time: 0.0264 memory: 32703 grad_norm: 19.4577 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4059 loss: 1.4059 2022/07/30 07:32:13 - mmengine - INFO - Epoch(train) [28][680/2505] lr: 5.0000e-04 eta: 21:17:48 time: 0.9020 data_time: 0.0320 memory: 32703 grad_norm: 19.0109 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3466 loss: 1.3466 2022/07/30 07:32:34 - mmengine - INFO - Epoch(train) [28][700/2505] lr: 5.0000e-04 eta: 21:17:31 time: 1.0914 data_time: 0.0345 memory: 32703 grad_norm: 19.6142 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3314 loss: 1.3314 2022/07/30 07:32:52 - mmengine - INFO - Epoch(train) [28][720/2505] lr: 5.0000e-04 eta: 21:17:08 time: 0.8643 data_time: 0.0293 memory: 32703 grad_norm: 19.4144 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4567 loss: 1.4567 2022/07/30 07:33:12 - mmengine - INFO - Epoch(train) [28][740/2505] lr: 5.0000e-04 eta: 21:16:49 time: 1.0413 data_time: 0.0275 memory: 32703 grad_norm: 18.4912 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3217 loss: 1.3217 2022/07/30 07:33:31 - mmengine - INFO - Epoch(train) [28][760/2505] lr: 5.0000e-04 eta: 21:16:27 time: 0.9195 data_time: 0.0268 memory: 32703 grad_norm: 19.3983 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3153 loss: 1.3153 2022/07/30 07:33:52 - mmengine - INFO - Epoch(train) [28][780/2505] lr: 5.0000e-04 eta: 21:16:09 time: 1.0583 data_time: 0.0344 memory: 32703 grad_norm: 19.6035 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.3233 loss: 1.3233 2022/07/30 07:34:11 - mmengine - INFO - Epoch(train) [28][800/2505] lr: 5.0000e-04 eta: 21:15:47 time: 0.9256 data_time: 0.0265 memory: 32703 grad_norm: 19.6079 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3026 loss: 1.3026 2022/07/30 07:34:32 - mmengine - INFO - Epoch(train) [28][820/2505] lr: 5.0000e-04 eta: 21:15:29 time: 1.0658 data_time: 0.0316 memory: 32703 grad_norm: 19.0704 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4819 loss: 1.4819 2022/07/30 07:34:50 - mmengine - INFO - Epoch(train) [28][840/2505] lr: 5.0000e-04 eta: 21:15:07 time: 0.9067 data_time: 0.0300 memory: 32703 grad_norm: 19.5206 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5122 loss: 1.5122 2022/07/30 07:35:10 - mmengine - INFO - Epoch(train) [28][860/2505] lr: 5.0000e-04 eta: 21:14:48 time: 1.0185 data_time: 0.0307 memory: 32703 grad_norm: 19.4590 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6503 loss: 1.6503 2022/07/30 07:35:29 - mmengine - INFO - Epoch(train) [28][880/2505] lr: 5.0000e-04 eta: 21:14:26 time: 0.9199 data_time: 0.0318 memory: 32703 grad_norm: 20.1790 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5045 loss: 1.5045 2022/07/30 07:35:50 - mmengine - INFO - Epoch(train) [28][900/2505] lr: 5.0000e-04 eta: 21:14:08 time: 1.0685 data_time: 0.0289 memory: 32703 grad_norm: 19.8846 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.4401 loss: 1.4401 2022/07/30 07:36:09 - mmengine - INFO - Epoch(train) [28][920/2505] lr: 5.0000e-04 eta: 21:13:46 time: 0.9188 data_time: 0.0361 memory: 32703 grad_norm: 19.9832 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4207 loss: 1.4207 2022/07/30 07:36:30 - mmengine - INFO - Epoch(train) [28][940/2505] lr: 5.0000e-04 eta: 21:13:28 time: 1.0875 data_time: 0.0558 memory: 32703 grad_norm: 19.4141 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.2432 loss: 1.2432 2022/07/30 07:36:48 - mmengine - INFO - Epoch(train) [28][960/2505] lr: 5.0000e-04 eta: 21:13:06 time: 0.9101 data_time: 0.0735 memory: 32703 grad_norm: 19.0204 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2258 loss: 1.2258 2022/07/30 07:37:10 - mmengine - INFO - Epoch(train) [28][980/2505] lr: 5.0000e-04 eta: 21:12:49 time: 1.1000 data_time: 0.1834 memory: 32703 grad_norm: 18.5263 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2244 loss: 1.2244 2022/07/30 07:37:29 - mmengine - INFO - Epoch(train) [28][1000/2505] lr: 5.0000e-04 eta: 21:12:27 time: 0.9248 data_time: 0.2104 memory: 32703 grad_norm: 18.8010 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3733 loss: 1.3733 2022/07/30 07:37:48 - mmengine - INFO - Epoch(train) [28][1020/2505] lr: 5.0000e-04 eta: 21:12:07 time: 0.9720 data_time: 0.1219 memory: 32703 grad_norm: 19.5254 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4325 loss: 1.4325 2022/07/30 07:38:07 - mmengine - INFO - Epoch(train) [28][1040/2505] lr: 5.0000e-04 eta: 21:11:45 time: 0.9282 data_time: 0.1254 memory: 32703 grad_norm: 20.0620 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3317 loss: 1.3317 2022/07/30 07:38:28 - mmengine - INFO - Epoch(train) [28][1060/2505] lr: 5.0000e-04 eta: 21:11:27 time: 1.0706 data_time: 0.0464 memory: 32703 grad_norm: 19.7288 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5606 loss: 1.5606 2022/07/30 07:38:47 - mmengine - INFO - Epoch(train) [28][1080/2505] lr: 5.0000e-04 eta: 21:11:05 time: 0.9231 data_time: 0.0275 memory: 32703 grad_norm: 19.8103 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4996 loss: 1.4996 2022/07/30 07:39:08 - mmengine - INFO - Epoch(train) [28][1100/2505] lr: 5.0000e-04 eta: 21:10:46 time: 1.0344 data_time: 0.0273 memory: 32703 grad_norm: 18.8926 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4504 loss: 1.4504 2022/07/30 07:39:29 - mmengine - INFO - Epoch(train) [28][1120/2505] lr: 5.0000e-04 eta: 21:10:28 time: 1.0546 data_time: 0.0280 memory: 32703 grad_norm: 20.1491 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4265 loss: 1.4265 2022/07/30 07:39:47 - mmengine - INFO - Epoch(train) [28][1140/2505] lr: 5.0000e-04 eta: 21:10:06 time: 0.9139 data_time: 0.0266 memory: 32703 grad_norm: 19.4840 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3497 loss: 1.3497 2022/07/30 07:40:09 - mmengine - INFO - Epoch(train) [28][1160/2505] lr: 5.0000e-04 eta: 21:09:49 time: 1.1042 data_time: 0.0286 memory: 32703 grad_norm: 18.3509 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4701 loss: 1.4701 2022/07/30 07:40:28 - mmengine - INFO - Epoch(train) [28][1180/2505] lr: 5.0000e-04 eta: 21:09:27 time: 0.9220 data_time: 0.0264 memory: 32703 grad_norm: 19.6799 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3731 loss: 1.3731 2022/07/30 07:40:48 - mmengine - INFO - Epoch(train) [28][1200/2505] lr: 5.0000e-04 eta: 21:09:07 time: 1.0009 data_time: 0.0288 memory: 32703 grad_norm: 18.9152 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2418 loss: 1.2418 2022/07/30 07:41:07 - mmengine - INFO - Epoch(train) [28][1220/2505] lr: 5.0000e-04 eta: 21:08:47 time: 0.9929 data_time: 0.0313 memory: 32703 grad_norm: 19.8307 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5268 loss: 1.5268 2022/07/30 07:41:26 - mmengine - INFO - Epoch(train) [28][1240/2505] lr: 5.0000e-04 eta: 21:08:25 time: 0.9101 data_time: 0.0255 memory: 32703 grad_norm: 18.3593 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2875 loss: 1.2875 2022/07/30 07:41:46 - mmengine - INFO - Epoch(train) [28][1260/2505] lr: 5.0000e-04 eta: 21:08:06 time: 1.0252 data_time: 0.0290 memory: 32703 grad_norm: 19.3858 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2977 loss: 1.2977 2022/07/30 07:42:05 - mmengine - INFO - Epoch(train) [28][1280/2505] lr: 5.0000e-04 eta: 21:07:45 time: 0.9624 data_time: 0.0285 memory: 32703 grad_norm: 18.9504 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3236 loss: 1.3236 2022/07/30 07:42:26 - mmengine - INFO - Epoch(train) [28][1300/2505] lr: 5.0000e-04 eta: 21:07:26 time: 1.0186 data_time: 0.0276 memory: 32703 grad_norm: 19.0250 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2783 loss: 1.2783 2022/07/30 07:42:45 - mmengine - INFO - Epoch(train) [28][1320/2505] lr: 5.0000e-04 eta: 21:07:05 time: 0.9603 data_time: 0.0260 memory: 32703 grad_norm: 19.1408 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4115 loss: 1.4115 2022/07/30 07:43:05 - mmengine - INFO - Epoch(train) [28][1340/2505] lr: 5.0000e-04 eta: 21:06:45 time: 0.9818 data_time: 0.0326 memory: 32703 grad_norm: 18.6106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3122 loss: 1.3122 2022/07/30 07:43:24 - mmengine - INFO - Epoch(train) [28][1360/2505] lr: 5.0000e-04 eta: 21:06:25 time: 0.9811 data_time: 0.0297 memory: 32703 grad_norm: 19.4844 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.3240 loss: 1.3240 2022/07/30 07:43:28 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 07:43:43 - mmengine - INFO - Epoch(train) [28][1380/2505] lr: 5.0000e-04 eta: 21:06:04 time: 0.9558 data_time: 0.0271 memory: 32703 grad_norm: 18.9850 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.6252 loss: 1.6252 2022/07/30 07:44:03 - mmengine - INFO - Epoch(train) [28][1400/2505] lr: 5.0000e-04 eta: 21:05:44 time: 0.9980 data_time: 0.0273 memory: 32703 grad_norm: 19.5707 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3809 loss: 1.3809 2022/07/30 07:44:22 - mmengine - INFO - Epoch(train) [28][1420/2505] lr: 5.0000e-04 eta: 21:05:23 time: 0.9245 data_time: 0.0288 memory: 32703 grad_norm: 18.9872 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.4734 loss: 1.4734 2022/07/30 07:44:43 - mmengine - INFO - Epoch(train) [28][1440/2505] lr: 5.0000e-04 eta: 21:05:04 time: 1.0490 data_time: 0.0334 memory: 32703 grad_norm: 19.5982 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.7049 loss: 1.7049 2022/07/30 07:45:01 - mmengine - INFO - Epoch(train) [28][1460/2505] lr: 5.0000e-04 eta: 21:04:42 time: 0.9224 data_time: 0.0977 memory: 32703 grad_norm: 19.2414 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1225 loss: 1.1225 2022/07/30 07:45:23 - mmengine - INFO - Epoch(train) [28][1480/2505] lr: 5.0000e-04 eta: 21:04:24 time: 1.0714 data_time: 0.1218 memory: 32703 grad_norm: 18.4891 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3621 loss: 1.3621 2022/07/30 07:45:41 - mmengine - INFO - Epoch(train) [28][1500/2505] lr: 5.0000e-04 eta: 21:04:02 time: 0.9023 data_time: 0.1779 memory: 32703 grad_norm: 19.0189 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4590 loss: 1.4590 2022/07/30 07:46:02 - mmengine - INFO - Epoch(train) [28][1520/2505] lr: 5.0000e-04 eta: 21:03:44 time: 1.0709 data_time: 0.2403 memory: 32703 grad_norm: 19.1993 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4748 loss: 1.4748 2022/07/30 07:46:21 - mmengine - INFO - Epoch(train) [28][1540/2505] lr: 5.0000e-04 eta: 21:03:22 time: 0.9187 data_time: 0.1583 memory: 32703 grad_norm: 20.3552 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4057 loss: 1.4057 2022/07/30 07:46:42 - mmengine - INFO - Epoch(train) [28][1560/2505] lr: 5.0000e-04 eta: 21:03:04 time: 1.0818 data_time: 0.1674 memory: 32703 grad_norm: 19.5631 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2926 loss: 1.2926 2022/07/30 07:47:01 - mmengine - INFO - Epoch(train) [28][1580/2505] lr: 5.0000e-04 eta: 21:02:43 time: 0.9288 data_time: 0.0272 memory: 32703 grad_norm: 19.6618 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1748 loss: 1.1748 2022/07/30 07:47:21 - mmengine - INFO - Epoch(train) [28][1600/2505] lr: 5.0000e-04 eta: 21:02:24 time: 1.0256 data_time: 0.0266 memory: 32703 grad_norm: 18.9526 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5962 loss: 1.5962 2022/07/30 07:47:39 - mmengine - INFO - Epoch(train) [28][1620/2505] lr: 5.0000e-04 eta: 21:02:02 time: 0.9068 data_time: 0.0311 memory: 32703 grad_norm: 19.5730 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4722 loss: 1.4722 2022/07/30 07:48:00 - mmengine - INFO - Epoch(train) [28][1640/2505] lr: 5.0000e-04 eta: 21:01:42 time: 1.0214 data_time: 0.0485 memory: 32703 grad_norm: 19.2763 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1708 loss: 1.1708 2022/07/30 07:48:19 - mmengine - INFO - Epoch(train) [28][1660/2505] lr: 5.0000e-04 eta: 21:01:21 time: 0.9491 data_time: 0.0375 memory: 32703 grad_norm: 19.7653 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3595 loss: 1.3595 2022/07/30 07:48:39 - mmengine - INFO - Epoch(train) [28][1680/2505] lr: 5.0000e-04 eta: 21:01:02 time: 1.0165 data_time: 0.0274 memory: 32703 grad_norm: 19.9033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5427 loss: 1.5427 2022/07/30 07:48:58 - mmengine - INFO - Epoch(train) [28][1700/2505] lr: 5.0000e-04 eta: 21:00:41 time: 0.9599 data_time: 0.0310 memory: 32703 grad_norm: 18.8563 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3620 loss: 1.3620 2022/07/30 07:49:19 - mmengine - INFO - Epoch(train) [28][1720/2505] lr: 5.0000e-04 eta: 21:00:22 time: 1.0205 data_time: 0.0282 memory: 32703 grad_norm: 18.5054 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4690 loss: 1.4690 2022/07/30 07:49:37 - mmengine - INFO - Epoch(train) [28][1740/2505] lr: 5.0000e-04 eta: 21:00:00 time: 0.9265 data_time: 0.0275 memory: 32703 grad_norm: 19.5326 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3458 loss: 1.3458 2022/07/30 07:49:59 - mmengine - INFO - Epoch(train) [28][1760/2505] lr: 5.0000e-04 eta: 20:59:42 time: 1.0782 data_time: 0.0316 memory: 32703 grad_norm: 20.5969 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3563 loss: 1.3563 2022/07/30 07:50:17 - mmengine - INFO - Epoch(train) [28][1780/2505] lr: 5.0000e-04 eta: 20:59:21 time: 0.9223 data_time: 0.0302 memory: 32703 grad_norm: 18.7603 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.4120 loss: 1.4120 2022/07/30 07:50:39 - mmengine - INFO - Epoch(train) [28][1800/2505] lr: 5.0000e-04 eta: 20:59:02 time: 1.0597 data_time: 0.0267 memory: 32703 grad_norm: 18.9292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5290 loss: 1.5290 2022/07/30 07:50:56 - mmengine - INFO - Epoch(train) [28][1820/2505] lr: 5.0000e-04 eta: 20:58:40 time: 0.8965 data_time: 0.0297 memory: 32703 grad_norm: 20.6474 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1961 loss: 1.1961 2022/07/30 07:51:19 - mmengine - INFO - Epoch(train) [28][1840/2505] lr: 5.0000e-04 eta: 20:58:23 time: 1.1264 data_time: 0.0278 memory: 32703 grad_norm: 18.9383 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2962 loss: 1.2962 2022/07/30 07:51:37 - mmengine - INFO - Epoch(train) [28][1860/2505] lr: 5.0000e-04 eta: 20:58:01 time: 0.8958 data_time: 0.0313 memory: 32703 grad_norm: 18.7671 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3978 loss: 1.3978 2022/07/30 07:51:59 - mmengine - INFO - Epoch(train) [28][1880/2505] lr: 5.0000e-04 eta: 20:57:43 time: 1.0915 data_time: 0.0421 memory: 32703 grad_norm: 17.9598 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3546 loss: 1.3546 2022/07/30 07:52:17 - mmengine - INFO - Epoch(train) [28][1900/2505] lr: 5.0000e-04 eta: 20:57:21 time: 0.8909 data_time: 0.0309 memory: 32703 grad_norm: 19.2658 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3545 loss: 1.3545 2022/07/30 07:52:37 - mmengine - INFO - Epoch(train) [28][1920/2505] lr: 5.0000e-04 eta: 20:57:01 time: 0.9967 data_time: 0.0276 memory: 32703 grad_norm: 19.2430 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4947 loss: 1.4947 2022/07/30 07:52:56 - mmengine - INFO - Epoch(train) [28][1940/2505] lr: 5.0000e-04 eta: 20:56:40 time: 0.9558 data_time: 0.0282 memory: 32703 grad_norm: 19.2432 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2495 loss: 1.2495 2022/07/30 07:53:16 - mmengine - INFO - Epoch(train) [28][1960/2505] lr: 5.0000e-04 eta: 20:56:21 time: 1.0266 data_time: 0.0306 memory: 32703 grad_norm: 18.7703 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4773 loss: 1.4773 2022/07/30 07:53:36 - mmengine - INFO - Epoch(train) [28][1980/2505] lr: 5.0000e-04 eta: 20:56:00 time: 0.9672 data_time: 0.0279 memory: 32703 grad_norm: 18.7884 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2685 loss: 1.2685 2022/07/30 07:53:55 - mmengine - INFO - Epoch(train) [28][2000/2505] lr: 5.0000e-04 eta: 20:55:40 time: 0.9645 data_time: 0.0333 memory: 32703 grad_norm: 19.3149 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3307 loss: 1.3307 2022/07/30 07:54:15 - mmengine - INFO - Epoch(train) [28][2020/2505] lr: 5.0000e-04 eta: 20:55:20 time: 1.0097 data_time: 0.0326 memory: 32703 grad_norm: 19.4877 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4818 loss: 1.4818 2022/07/30 07:54:34 - mmengine - INFO - Epoch(train) [28][2040/2505] lr: 5.0000e-04 eta: 20:54:59 time: 0.9444 data_time: 0.0285 memory: 32703 grad_norm: 18.5933 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3611 loss: 1.3611 2022/07/30 07:54:55 - mmengine - INFO - Epoch(train) [28][2060/2505] lr: 5.0000e-04 eta: 20:54:40 time: 1.0418 data_time: 0.0308 memory: 32703 grad_norm: 19.3898 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3102 loss: 1.3102 2022/07/30 07:55:14 - mmengine - INFO - Epoch(train) [28][2080/2505] lr: 5.0000e-04 eta: 20:54:19 time: 0.9508 data_time: 0.0316 memory: 32703 grad_norm: 19.3647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3180 loss: 1.3180 2022/07/30 07:55:35 - mmengine - INFO - Epoch(train) [28][2100/2505] lr: 5.0000e-04 eta: 20:54:00 time: 1.0396 data_time: 0.0288 memory: 32703 grad_norm: 18.6631 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3571 loss: 1.3571 2022/07/30 07:55:54 - mmengine - INFO - Epoch(train) [28][2120/2505] lr: 5.0000e-04 eta: 20:53:39 time: 0.9492 data_time: 0.0325 memory: 32703 grad_norm: 19.1769 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2674 loss: 1.2674 2022/07/30 07:56:14 - mmengine - INFO - Epoch(train) [28][2140/2505] lr: 5.0000e-04 eta: 20:53:20 time: 1.0125 data_time: 0.0293 memory: 32703 grad_norm: 18.8544 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4578 loss: 1.4578 2022/07/30 07:56:33 - mmengine - INFO - Epoch(train) [28][2160/2505] lr: 5.0000e-04 eta: 20:52:59 time: 0.9310 data_time: 0.0264 memory: 32703 grad_norm: 19.3918 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3345 loss: 1.3345 2022/07/30 07:56:53 - mmengine - INFO - Epoch(train) [28][2180/2505] lr: 5.0000e-04 eta: 20:52:40 time: 1.0476 data_time: 0.0319 memory: 32703 grad_norm: 19.3833 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.2581 loss: 1.2581 2022/07/30 07:57:12 - mmengine - INFO - Epoch(train) [28][2200/2505] lr: 5.0000e-04 eta: 20:52:18 time: 0.9302 data_time: 0.0271 memory: 32703 grad_norm: 18.8711 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1725 loss: 1.1725 2022/07/30 07:57:33 - mmengine - INFO - Epoch(train) [28][2220/2505] lr: 5.0000e-04 eta: 20:52:00 time: 1.0565 data_time: 0.0285 memory: 32703 grad_norm: 19.2574 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4757 loss: 1.4757 2022/07/30 07:57:51 - mmengine - INFO - Epoch(train) [28][2240/2505] lr: 5.0000e-04 eta: 20:51:38 time: 0.9015 data_time: 0.0287 memory: 32703 grad_norm: 18.5308 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2472 loss: 1.2472 2022/07/30 07:58:13 - mmengine - INFO - Epoch(train) [28][2260/2505] lr: 5.0000e-04 eta: 20:51:20 time: 1.0781 data_time: 0.0269 memory: 32703 grad_norm: 19.3714 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4375 loss: 1.4375 2022/07/30 07:58:31 - mmengine - INFO - Epoch(train) [28][2280/2505] lr: 5.0000e-04 eta: 20:50:58 time: 0.9261 data_time: 0.0377 memory: 32703 grad_norm: 19.6456 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3647 loss: 1.3647 2022/07/30 07:58:51 - mmengine - INFO - Epoch(train) [28][2300/2505] lr: 5.0000e-04 eta: 20:50:38 time: 0.9828 data_time: 0.0254 memory: 32703 grad_norm: 19.0875 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3465 loss: 1.3465 2022/07/30 07:59:12 - mmengine - INFO - Epoch(train) [28][2320/2505] lr: 5.0000e-04 eta: 20:50:19 time: 1.0394 data_time: 0.0250 memory: 32703 grad_norm: 18.9377 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2541 loss: 1.2541 2022/07/30 07:59:30 - mmengine - INFO - Epoch(train) [28][2340/2505] lr: 5.0000e-04 eta: 20:49:57 time: 0.8922 data_time: 0.0259 memory: 32703 grad_norm: 19.7716 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2940 loss: 1.2940 2022/07/30 07:59:51 - mmengine - INFO - Epoch(train) [28][2360/2505] lr: 5.0000e-04 eta: 20:49:39 time: 1.0677 data_time: 0.0263 memory: 32703 grad_norm: 18.9767 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5045 loss: 1.5045 2022/07/30 07:59:54 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 08:00:08 - mmengine - INFO - Epoch(train) [28][2380/2505] lr: 5.0000e-04 eta: 20:49:16 time: 0.8734 data_time: 0.0245 memory: 32703 grad_norm: 19.3495 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3277 loss: 1.3277 2022/07/30 08:00:30 - mmengine - INFO - Epoch(train) [28][2400/2505] lr: 5.0000e-04 eta: 20:48:58 time: 1.0946 data_time: 0.0325 memory: 32703 grad_norm: 19.6648 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.5081 loss: 1.5081 2022/07/30 08:00:49 - mmengine - INFO - Epoch(train) [28][2420/2505] lr: 5.0000e-04 eta: 20:48:37 time: 0.9135 data_time: 0.0273 memory: 32703 grad_norm: 20.2594 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3119 loss: 1.3119 2022/07/30 08:01:09 - mmengine - INFO - Epoch(train) [28][2440/2505] lr: 5.0000e-04 eta: 20:48:17 time: 1.0158 data_time: 0.0274 memory: 32703 grad_norm: 19.5731 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4618 loss: 1.4618 2022/07/30 08:01:28 - mmengine - INFO - Epoch(train) [28][2460/2505] lr: 5.0000e-04 eta: 20:47:56 time: 0.9334 data_time: 0.0271 memory: 32703 grad_norm: 19.3084 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3272 loss: 1.3272 2022/07/30 08:01:50 - mmengine - INFO - Epoch(train) [28][2480/2505] lr: 5.0000e-04 eta: 20:47:38 time: 1.1127 data_time: 0.0288 memory: 32703 grad_norm: 18.4488 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3460 loss: 1.3460 2022/07/30 08:02:06 - mmengine - INFO - Epoch(train) [28][2500/2505] lr: 5.0000e-04 eta: 20:47:14 time: 0.7997 data_time: 0.0268 memory: 32703 grad_norm: 18.4770 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3810 loss: 1.3810 2022/07/30 08:02:10 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 08:02:10 - mmengine - INFO - Epoch(train) [28][2505/2505] lr: 5.0000e-04 eta: 20:47:14 time: 0.8408 data_time: 0.0241 memory: 32703 grad_norm: 18.5104 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2820 loss: 1.2820 2022/07/30 08:02:10 - mmengine - INFO - Saving checkpoint at 28 epochs 2022/07/30 08:02:39 - mmengine - INFO - Epoch(train) [29][20/2505] lr: 5.0000e-04 eta: 20:46:48 time: 1.1714 data_time: 0.5533 memory: 32703 grad_norm: 19.0136 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2125 loss: 1.2125 2022/07/30 08:02:57 - mmengine - INFO - Epoch(train) [29][40/2505] lr: 5.0000e-04 eta: 20:46:26 time: 0.9135 data_time: 0.3093 memory: 32703 grad_norm: 18.7457 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3295 loss: 1.3295 2022/07/30 08:03:19 - mmengine - INFO - Epoch(train) [29][60/2505] lr: 5.0000e-04 eta: 20:46:09 time: 1.0984 data_time: 0.4805 memory: 32703 grad_norm: 18.7976 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4552 loss: 1.4552 2022/07/30 08:03:37 - mmengine - INFO - Epoch(train) [29][80/2505] lr: 5.0000e-04 eta: 20:45:46 time: 0.8958 data_time: 0.3120 memory: 32703 grad_norm: 19.4817 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2690 loss: 1.2690 2022/07/30 08:03:58 - mmengine - INFO - Epoch(train) [29][100/2505] lr: 5.0000e-04 eta: 20:45:28 time: 1.0642 data_time: 0.4671 memory: 32703 grad_norm: 19.4437 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3365 loss: 1.3365 2022/07/30 08:04:16 - mmengine - INFO - Epoch(train) [29][120/2505] lr: 5.0000e-04 eta: 20:45:06 time: 0.8997 data_time: 0.3240 memory: 32703 grad_norm: 19.6695 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5426 loss: 1.5426 2022/07/30 08:04:37 - mmengine - INFO - Epoch(train) [29][140/2505] lr: 5.0000e-04 eta: 20:44:47 time: 1.0458 data_time: 0.4465 memory: 32703 grad_norm: 20.1468 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4709 loss: 1.4709 2022/07/30 08:04:55 - mmengine - INFO - Epoch(train) [29][160/2505] lr: 5.0000e-04 eta: 20:44:25 time: 0.9010 data_time: 0.2983 memory: 32703 grad_norm: 19.4343 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3965 loss: 1.3965 2022/07/30 08:05:17 - mmengine - INFO - Epoch(train) [29][180/2505] lr: 5.0000e-04 eta: 20:44:07 time: 1.0657 data_time: 0.4797 memory: 32703 grad_norm: 19.3024 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5065 loss: 1.5065 2022/07/30 08:05:36 - mmengine - INFO - Epoch(train) [29][200/2505] lr: 5.0000e-04 eta: 20:43:46 time: 0.9475 data_time: 0.3318 memory: 32703 grad_norm: 19.1458 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3815 loss: 1.3815 2022/07/30 08:05:56 - mmengine - INFO - Epoch(train) [29][220/2505] lr: 5.0000e-04 eta: 20:43:27 time: 1.0339 data_time: 0.4307 memory: 32703 grad_norm: 19.3292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4466 loss: 1.4466 2022/07/30 08:06:14 - mmengine - INFO - Epoch(train) [29][240/2505] lr: 5.0000e-04 eta: 20:43:05 time: 0.9123 data_time: 0.3092 memory: 32703 grad_norm: 19.0981 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2790 loss: 1.2790 2022/07/30 08:06:36 - mmengine - INFO - Epoch(train) [29][260/2505] lr: 5.0000e-04 eta: 20:42:47 time: 1.0731 data_time: 0.5034 memory: 32703 grad_norm: 19.4791 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.3536 loss: 1.3536 2022/07/30 08:06:54 - mmengine - INFO - Epoch(train) [29][280/2505] lr: 5.0000e-04 eta: 20:42:25 time: 0.9202 data_time: 0.3180 memory: 32703 grad_norm: 19.4589 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.3084 loss: 1.3084 2022/07/30 08:07:15 - mmengine - INFO - Epoch(train) [29][300/2505] lr: 5.0000e-04 eta: 20:42:06 time: 1.0344 data_time: 0.4562 memory: 32703 grad_norm: 18.4850 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4399 loss: 1.4399 2022/07/30 08:07:34 - mmengine - INFO - Epoch(train) [29][320/2505] lr: 5.0000e-04 eta: 20:41:45 time: 0.9235 data_time: 0.3523 memory: 32703 grad_norm: 19.7712 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1759 loss: 1.1759 2022/07/30 08:07:53 - mmengine - INFO - Epoch(train) [29][340/2505] lr: 5.0000e-04 eta: 20:41:25 time: 0.9979 data_time: 0.4222 memory: 32703 grad_norm: 18.4244 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4055 loss: 1.4055 2022/07/30 08:08:13 - mmengine - INFO - Epoch(train) [29][360/2505] lr: 5.0000e-04 eta: 20:41:04 time: 0.9653 data_time: 0.3878 memory: 32703 grad_norm: 18.4114 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2330 loss: 1.2330 2022/07/30 08:08:33 - mmengine - INFO - Epoch(train) [29][380/2505] lr: 5.0000e-04 eta: 20:40:45 time: 1.0073 data_time: 0.4004 memory: 32703 grad_norm: 19.8210 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1857 loss: 1.1857 2022/07/30 08:08:53 - mmengine - INFO - Epoch(train) [29][400/2505] lr: 5.0000e-04 eta: 20:40:25 time: 1.0153 data_time: 0.4111 memory: 32703 grad_norm: 19.2456 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4136 loss: 1.4136 2022/07/30 08:09:12 - mmengine - INFO - Epoch(train) [29][420/2505] lr: 5.0000e-04 eta: 20:40:04 time: 0.9382 data_time: 0.3569 memory: 32703 grad_norm: 18.3469 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3418 loss: 1.3418 2022/07/30 08:09:32 - mmengine - INFO - Epoch(train) [29][440/2505] lr: 5.0000e-04 eta: 20:39:44 time: 1.0042 data_time: 0.3871 memory: 32703 grad_norm: 19.3694 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3088 loss: 1.3088 2022/07/30 08:09:52 - mmengine - INFO - Epoch(train) [29][460/2505] lr: 5.0000e-04 eta: 20:39:24 time: 0.9853 data_time: 0.3569 memory: 32703 grad_norm: 18.5875 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3103 loss: 1.3103 2022/07/30 08:10:11 - mmengine - INFO - Epoch(train) [29][480/2505] lr: 5.0000e-04 eta: 20:39:04 time: 0.9799 data_time: 0.3130 memory: 32703 grad_norm: 20.0321 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2073 loss: 1.2073 2022/07/30 08:10:32 - mmengine - INFO - Epoch(train) [29][500/2505] lr: 5.0000e-04 eta: 20:38:45 time: 1.0349 data_time: 0.4069 memory: 32703 grad_norm: 20.3256 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3618 loss: 1.3618 2022/07/30 08:10:52 - mmengine - INFO - Epoch(train) [29][520/2505] lr: 5.0000e-04 eta: 20:38:24 time: 0.9700 data_time: 0.3524 memory: 32703 grad_norm: 19.5909 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9639 loss: 0.9639 2022/07/30 08:11:12 - mmengine - INFO - Epoch(train) [29][540/2505] lr: 5.0000e-04 eta: 20:38:05 time: 1.0140 data_time: 0.3771 memory: 32703 grad_norm: 18.9316 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4200 loss: 1.4200 2022/07/30 08:11:32 - mmengine - INFO - Epoch(train) [29][560/2505] lr: 5.0000e-04 eta: 20:37:45 time: 0.9839 data_time: 0.3373 memory: 32703 grad_norm: 19.7622 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3770 loss: 1.3770 2022/07/30 08:11:50 - mmengine - INFO - Epoch(train) [29][580/2505] lr: 5.0000e-04 eta: 20:37:24 time: 0.9436 data_time: 0.2915 memory: 32703 grad_norm: 19.2018 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2420 loss: 1.2420 2022/07/30 08:12:11 - mmengine - INFO - Epoch(train) [29][600/2505] lr: 5.0000e-04 eta: 20:37:04 time: 1.0126 data_time: 0.3865 memory: 32703 grad_norm: 19.4273 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3228 loss: 1.3228 2022/07/30 08:12:30 - mmengine - INFO - Epoch(train) [29][620/2505] lr: 5.0000e-04 eta: 20:36:43 time: 0.9434 data_time: 0.2374 memory: 32703 grad_norm: 18.9415 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1616 loss: 1.1616 2022/07/30 08:12:49 - mmengine - INFO - Epoch(train) [29][640/2505] lr: 5.0000e-04 eta: 20:36:22 time: 0.9559 data_time: 0.1361 memory: 32703 grad_norm: 19.4821 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4474 loss: 1.4474 2022/07/30 08:13:10 - mmengine - INFO - Epoch(train) [29][660/2505] lr: 5.0000e-04 eta: 20:36:04 time: 1.0513 data_time: 0.0275 memory: 32703 grad_norm: 18.7728 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0697 loss: 1.0697 2022/07/30 08:13:28 - mmengine - INFO - Epoch(train) [29][680/2505] lr: 5.0000e-04 eta: 20:35:42 time: 0.9075 data_time: 0.0853 memory: 32703 grad_norm: 18.9462 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3195 loss: 1.3195 2022/07/30 08:13:49 - mmengine - INFO - Epoch(train) [29][700/2505] lr: 5.0000e-04 eta: 20:35:23 time: 1.0462 data_time: 0.1130 memory: 32703 grad_norm: 19.8054 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.6163 loss: 1.6163 2022/07/30 08:14:08 - mmengine - INFO - Epoch(train) [29][720/2505] lr: 5.0000e-04 eta: 20:35:02 time: 0.9608 data_time: 0.0487 memory: 32703 grad_norm: 18.8955 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.5075 loss: 1.5075 2022/07/30 08:14:30 - mmengine - INFO - Epoch(train) [29][740/2505] lr: 5.0000e-04 eta: 20:34:44 time: 1.0839 data_time: 0.0284 memory: 32703 grad_norm: 19.1490 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2667 loss: 1.2667 2022/07/30 08:14:47 - mmengine - INFO - Epoch(train) [29][760/2505] lr: 5.0000e-04 eta: 20:34:22 time: 0.8669 data_time: 0.0278 memory: 32703 grad_norm: 18.8329 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3317 loss: 1.3317 2022/07/30 08:15:09 - mmengine - INFO - Epoch(train) [29][780/2505] lr: 5.0000e-04 eta: 20:34:04 time: 1.1086 data_time: 0.0266 memory: 32703 grad_norm: 19.0466 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0088 loss: 1.0088 2022/07/30 08:15:28 - mmengine - INFO - Epoch(train) [29][800/2505] lr: 5.0000e-04 eta: 20:33:43 time: 0.9492 data_time: 0.0342 memory: 32703 grad_norm: 20.4229 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3140 loss: 1.3140 2022/07/30 08:15:49 - mmengine - INFO - Epoch(train) [29][820/2505] lr: 5.0000e-04 eta: 20:33:24 time: 1.0364 data_time: 0.0352 memory: 32703 grad_norm: 18.9393 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2703 loss: 1.2703 2022/07/30 08:16:07 - mmengine - INFO - Epoch(train) [29][840/2505] lr: 5.0000e-04 eta: 20:33:03 time: 0.9144 data_time: 0.0323 memory: 32703 grad_norm: 19.5618 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3584 loss: 1.3584 2022/07/30 08:16:29 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 08:16:29 - mmengine - INFO - Epoch(train) [29][860/2505] lr: 5.0000e-04 eta: 20:32:45 time: 1.1040 data_time: 0.0288 memory: 32703 grad_norm: 19.5766 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3136 loss: 1.3136 2022/07/30 08:16:47 - mmengine - INFO - Epoch(train) [29][880/2505] lr: 5.0000e-04 eta: 20:32:23 time: 0.8951 data_time: 0.0341 memory: 32703 grad_norm: 19.2237 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2870 loss: 1.2870 2022/07/30 08:17:08 - mmengine - INFO - Epoch(train) [29][900/2505] lr: 5.0000e-04 eta: 20:32:04 time: 1.0461 data_time: 0.0274 memory: 32703 grad_norm: 18.4678 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3271 loss: 1.3271 2022/07/30 08:17:27 - mmengine - INFO - Epoch(train) [29][920/2505] lr: 5.0000e-04 eta: 20:31:43 time: 0.9209 data_time: 0.0339 memory: 32703 grad_norm: 18.7387 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3426 loss: 1.3426 2022/07/30 08:17:47 - mmengine - INFO - Epoch(train) [29][940/2505] lr: 5.0000e-04 eta: 20:31:24 time: 1.0338 data_time: 0.0276 memory: 32703 grad_norm: 20.0312 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2565 loss: 1.2565 2022/07/30 08:18:06 - mmengine - INFO - Epoch(train) [29][960/2505] lr: 5.0000e-04 eta: 20:31:02 time: 0.9306 data_time: 0.0345 memory: 32703 grad_norm: 19.6264 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2847 loss: 1.2847 2022/07/30 08:18:26 - mmengine - INFO - Epoch(train) [29][980/2505] lr: 5.0000e-04 eta: 20:30:43 time: 1.0173 data_time: 0.0355 memory: 32703 grad_norm: 19.3665 top1_acc: 0.2500 top5_acc: 0.8333 loss_cls: 1.3039 loss: 1.3039 2022/07/30 08:18:44 - mmengine - INFO - Epoch(train) [29][1000/2505] lr: 5.0000e-04 eta: 20:30:21 time: 0.9029 data_time: 0.0324 memory: 32703 grad_norm: 19.5564 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3936 loss: 1.3936 2022/07/30 08:19:05 - mmengine - INFO - Epoch(train) [29][1020/2505] lr: 5.0000e-04 eta: 20:30:02 time: 1.0179 data_time: 0.0323 memory: 32703 grad_norm: 19.9387 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4007 loss: 1.4007 2022/07/30 08:19:23 - mmengine - INFO - Epoch(train) [29][1040/2505] lr: 5.0000e-04 eta: 20:29:40 time: 0.9055 data_time: 0.0313 memory: 32703 grad_norm: 19.6247 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3811 loss: 1.3811 2022/07/30 08:19:44 - mmengine - INFO - Epoch(train) [29][1060/2505] lr: 5.0000e-04 eta: 20:29:21 time: 1.0575 data_time: 0.0328 memory: 32703 grad_norm: 19.7151 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3718 loss: 1.3718 2022/07/30 08:20:02 - mmengine - INFO - Epoch(train) [29][1080/2505] lr: 5.0000e-04 eta: 20:28:59 time: 0.9064 data_time: 0.0315 memory: 32703 grad_norm: 19.5661 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5731 loss: 1.5731 2022/07/30 08:20:23 - mmengine - INFO - Epoch(train) [29][1100/2505] lr: 5.0000e-04 eta: 20:28:41 time: 1.0536 data_time: 0.0324 memory: 32703 grad_norm: 18.8544 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.2845 loss: 1.2845 2022/07/30 08:20:41 - mmengine - INFO - Epoch(train) [29][1120/2505] lr: 5.0000e-04 eta: 20:28:19 time: 0.8907 data_time: 0.0277 memory: 32703 grad_norm: 19.5721 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3420 loss: 1.3420 2022/07/30 08:21:02 - mmengine - INFO - Epoch(train) [29][1140/2505] lr: 5.0000e-04 eta: 20:27:59 time: 1.0314 data_time: 0.0304 memory: 32703 grad_norm: 19.7968 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5170 loss: 1.5170 2022/07/30 08:21:19 - mmengine - INFO - Epoch(train) [29][1160/2505] lr: 5.0000e-04 eta: 20:27:37 time: 0.8940 data_time: 0.0275 memory: 32703 grad_norm: 19.0332 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.4656 loss: 1.4656 2022/07/30 08:21:41 - mmengine - INFO - Epoch(train) [29][1180/2505] lr: 5.0000e-04 eta: 20:27:19 time: 1.0753 data_time: 0.0278 memory: 32703 grad_norm: 19.3636 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0828 loss: 1.0828 2022/07/30 08:21:59 - mmengine - INFO - Epoch(train) [29][1200/2505] lr: 5.0000e-04 eta: 20:26:57 time: 0.9119 data_time: 0.0299 memory: 32703 grad_norm: 19.7330 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3782 loss: 1.3782 2022/07/30 08:22:21 - mmengine - INFO - Epoch(train) [29][1220/2505] lr: 5.0000e-04 eta: 20:26:40 time: 1.0958 data_time: 0.0269 memory: 32703 grad_norm: 19.1235 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.5554 loss: 1.5554 2022/07/30 08:22:39 - mmengine - INFO - Epoch(train) [29][1240/2505] lr: 5.0000e-04 eta: 20:26:18 time: 0.9095 data_time: 0.0282 memory: 32703 grad_norm: 18.9082 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3019 loss: 1.3019 2022/07/30 08:23:00 - mmengine - INFO - Epoch(train) [29][1260/2505] lr: 5.0000e-04 eta: 20:25:59 time: 1.0533 data_time: 0.0266 memory: 32703 grad_norm: 20.2087 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5887 loss: 1.5887 2022/07/30 08:23:18 - mmengine - INFO - Epoch(train) [29][1280/2505] lr: 5.0000e-04 eta: 20:25:37 time: 0.8958 data_time: 0.0309 memory: 32703 grad_norm: 19.5805 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2709 loss: 1.2709 2022/07/30 08:23:40 - mmengine - INFO - Epoch(train) [29][1300/2505] lr: 5.0000e-04 eta: 20:25:19 time: 1.0918 data_time: 0.0295 memory: 32703 grad_norm: 19.5273 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2820 loss: 1.2820 2022/07/30 08:23:58 - mmengine - INFO - Epoch(train) [29][1320/2505] lr: 5.0000e-04 eta: 20:24:57 time: 0.8982 data_time: 0.0290 memory: 32703 grad_norm: 19.2292 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2235 loss: 1.2235 2022/07/30 08:24:19 - mmengine - INFO - Epoch(train) [29][1340/2505] lr: 5.0000e-04 eta: 20:24:39 time: 1.0468 data_time: 0.0282 memory: 32703 grad_norm: 20.0033 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2690 loss: 1.2690 2022/07/30 08:24:38 - mmengine - INFO - Epoch(train) [29][1360/2505] lr: 5.0000e-04 eta: 20:24:18 time: 0.9402 data_time: 0.0296 memory: 32703 grad_norm: 19.8463 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3927 loss: 1.3927 2022/07/30 08:24:59 - mmengine - INFO - Epoch(train) [29][1380/2505] lr: 5.0000e-04 eta: 20:23:58 time: 1.0333 data_time: 0.0280 memory: 32703 grad_norm: 19.4074 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4104 loss: 1.4104 2022/07/30 08:25:17 - mmengine - INFO - Epoch(train) [29][1400/2505] lr: 5.0000e-04 eta: 20:23:37 time: 0.9131 data_time: 0.0294 memory: 32703 grad_norm: 18.9137 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3409 loss: 1.3409 2022/07/30 08:25:38 - mmengine - INFO - Epoch(train) [29][1420/2505] lr: 5.0000e-04 eta: 20:23:18 time: 1.0349 data_time: 0.0300 memory: 32703 grad_norm: 19.4313 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2105 loss: 1.2105 2022/07/30 08:25:56 - mmengine - INFO - Epoch(train) [29][1440/2505] lr: 5.0000e-04 eta: 20:22:56 time: 0.9336 data_time: 0.0277 memory: 32703 grad_norm: 19.6310 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2118 loss: 1.2118 2022/07/30 08:26:17 - mmengine - INFO - Epoch(train) [29][1460/2505] lr: 5.0000e-04 eta: 20:22:38 time: 1.0600 data_time: 0.0286 memory: 32703 grad_norm: 19.6157 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2588 loss: 1.2588 2022/07/30 08:26:36 - mmengine - INFO - Epoch(train) [29][1480/2505] lr: 5.0000e-04 eta: 20:22:17 time: 0.9385 data_time: 0.0250 memory: 32703 grad_norm: 19.3354 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.6089 loss: 1.6089 2022/07/30 08:26:57 - mmengine - INFO - Epoch(train) [29][1500/2505] lr: 5.0000e-04 eta: 20:21:57 time: 1.0192 data_time: 0.0351 memory: 32703 grad_norm: 19.3616 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2061 loss: 1.2061 2022/07/30 08:27:16 - mmengine - INFO - Epoch(train) [29][1520/2505] lr: 5.0000e-04 eta: 20:21:37 time: 0.9631 data_time: 0.0281 memory: 32703 grad_norm: 18.8757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3323 loss: 1.3323 2022/07/30 08:27:37 - mmengine - INFO - Epoch(train) [29][1540/2505] lr: 5.0000e-04 eta: 20:21:18 time: 1.0351 data_time: 0.0337 memory: 32703 grad_norm: 19.0800 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.2165 loss: 1.2165 2022/07/30 08:27:55 - mmengine - INFO - Epoch(train) [29][1560/2505] lr: 5.0000e-04 eta: 20:20:56 time: 0.9166 data_time: 0.0284 memory: 32703 grad_norm: 19.8432 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4636 loss: 1.4636 2022/07/30 08:28:16 - mmengine - INFO - Epoch(train) [29][1580/2505] lr: 5.0000e-04 eta: 20:20:38 time: 1.0621 data_time: 0.0316 memory: 32703 grad_norm: 18.6014 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2962 loss: 1.2962 2022/07/30 08:28:34 - mmengine - INFO - Epoch(train) [29][1600/2505] lr: 5.0000e-04 eta: 20:20:16 time: 0.9038 data_time: 0.0288 memory: 32703 grad_norm: 19.4642 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3393 loss: 1.3393 2022/07/30 08:28:55 - mmengine - INFO - Epoch(train) [29][1620/2505] lr: 5.0000e-04 eta: 20:19:57 time: 1.0316 data_time: 0.0315 memory: 32703 grad_norm: 19.3840 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.3202 loss: 1.3202 2022/07/30 08:29:13 - mmengine - INFO - Epoch(train) [29][1640/2505] lr: 5.0000e-04 eta: 20:19:35 time: 0.9181 data_time: 0.0261 memory: 32703 grad_norm: 18.1334 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.2620 loss: 1.2620 2022/07/30 08:29:35 - mmengine - INFO - Epoch(train) [29][1660/2505] lr: 5.0000e-04 eta: 20:19:17 time: 1.0801 data_time: 0.0277 memory: 32703 grad_norm: 19.5435 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3570 loss: 1.3570 2022/07/30 08:29:54 - mmengine - INFO - Epoch(train) [29][1680/2505] lr: 5.0000e-04 eta: 20:18:56 time: 0.9376 data_time: 0.0300 memory: 32703 grad_norm: 18.6383 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3237 loss: 1.3237 2022/07/30 08:30:15 - mmengine - INFO - Epoch(train) [29][1700/2505] lr: 5.0000e-04 eta: 20:18:38 time: 1.0906 data_time: 0.0304 memory: 32703 grad_norm: 20.3908 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4911 loss: 1.4911 2022/07/30 08:30:33 - mmengine - INFO - Epoch(train) [29][1720/2505] lr: 5.0000e-04 eta: 20:18:16 time: 0.8991 data_time: 0.0306 memory: 32703 grad_norm: 20.0554 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4880 loss: 1.4880 2022/07/30 08:30:55 - mmengine - INFO - Epoch(train) [29][1740/2505] lr: 5.0000e-04 eta: 20:17:58 time: 1.0728 data_time: 0.0333 memory: 32703 grad_norm: 19.5155 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4308 loss: 1.4308 2022/07/30 08:31:13 - mmengine - INFO - Epoch(train) [29][1760/2505] lr: 5.0000e-04 eta: 20:17:36 time: 0.9172 data_time: 0.0279 memory: 32703 grad_norm: 19.4642 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1930 loss: 1.1930 2022/07/30 08:31:34 - mmengine - INFO - Epoch(train) [29][1780/2505] lr: 5.0000e-04 eta: 20:17:18 time: 1.0578 data_time: 0.0303 memory: 32703 grad_norm: 19.9501 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5557 loss: 1.5557 2022/07/30 08:31:52 - mmengine - INFO - Epoch(train) [29][1800/2505] lr: 5.0000e-04 eta: 20:16:56 time: 0.8885 data_time: 0.0272 memory: 32703 grad_norm: 19.3882 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4143 loss: 1.4143 2022/07/30 08:32:14 - mmengine - INFO - Epoch(train) [29][1820/2505] lr: 5.0000e-04 eta: 20:16:37 time: 1.0842 data_time: 0.0367 memory: 32703 grad_norm: 19.7351 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4400 loss: 1.4400 2022/07/30 08:32:31 - mmengine - INFO - Epoch(train) [29][1840/2505] lr: 5.0000e-04 eta: 20:16:15 time: 0.8632 data_time: 0.0292 memory: 32703 grad_norm: 19.2264 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4829 loss: 1.4829 2022/07/30 08:32:53 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 08:32:53 - mmengine - INFO - Epoch(train) [29][1860/2505] lr: 5.0000e-04 eta: 20:15:57 time: 1.0930 data_time: 0.0310 memory: 32703 grad_norm: 18.9423 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3250 loss: 1.3250 2022/07/30 08:33:12 - mmengine - INFO - Epoch(train) [29][1880/2505] lr: 5.0000e-04 eta: 20:15:36 time: 0.9336 data_time: 0.0301 memory: 32703 grad_norm: 19.1826 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3747 loss: 1.3747 2022/07/30 08:33:32 - mmengine - INFO - Epoch(train) [29][1900/2505] lr: 5.0000e-04 eta: 20:15:17 time: 1.0376 data_time: 0.0295 memory: 32703 grad_norm: 19.2477 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3558 loss: 1.3558 2022/07/30 08:33:50 - mmengine - INFO - Epoch(train) [29][1920/2505] lr: 5.0000e-04 eta: 20:14:54 time: 0.8576 data_time: 0.0287 memory: 32703 grad_norm: 19.1060 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4689 loss: 1.4689 2022/07/30 08:34:10 - mmengine - INFO - Epoch(train) [29][1940/2505] lr: 5.0000e-04 eta: 20:14:35 time: 1.0459 data_time: 0.0259 memory: 32703 grad_norm: 20.5311 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3334 loss: 1.3334 2022/07/30 08:34:29 - mmengine - INFO - Epoch(train) [29][1960/2505] lr: 5.0000e-04 eta: 20:14:14 time: 0.9230 data_time: 0.0281 memory: 32703 grad_norm: 19.5333 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4434 loss: 1.4434 2022/07/30 08:34:50 - mmengine - INFO - Epoch(train) [29][1980/2505] lr: 5.0000e-04 eta: 20:13:55 time: 1.0539 data_time: 0.0301 memory: 32703 grad_norm: 19.8116 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2857 loss: 1.2857 2022/07/30 08:35:09 - mmengine - INFO - Epoch(train) [29][2000/2505] lr: 5.0000e-04 eta: 20:13:34 time: 0.9440 data_time: 0.0262 memory: 32703 grad_norm: 19.0080 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2637 loss: 1.2637 2022/07/30 08:35:30 - mmengine - INFO - Epoch(train) [29][2020/2505] lr: 5.0000e-04 eta: 20:13:16 time: 1.0751 data_time: 0.0294 memory: 32703 grad_norm: 19.2720 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1272 loss: 1.1272 2022/07/30 08:35:49 - mmengine - INFO - Epoch(train) [29][2040/2505] lr: 5.0000e-04 eta: 20:12:54 time: 0.9068 data_time: 0.0271 memory: 32703 grad_norm: 18.7191 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5219 loss: 1.5219 2022/07/30 08:36:09 - mmengine - INFO - Epoch(train) [29][2060/2505] lr: 5.0000e-04 eta: 20:12:35 time: 1.0268 data_time: 0.0294 memory: 32703 grad_norm: 19.7276 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5565 loss: 1.5565 2022/07/30 08:36:27 - mmengine - INFO - Epoch(train) [29][2080/2505] lr: 5.0000e-04 eta: 20:12:13 time: 0.9055 data_time: 0.0271 memory: 32703 grad_norm: 18.8596 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4348 loss: 1.4348 2022/07/30 08:36:48 - mmengine - INFO - Epoch(train) [29][2100/2505] lr: 5.0000e-04 eta: 20:11:54 time: 1.0587 data_time: 0.0293 memory: 32703 grad_norm: 19.3002 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1957 loss: 1.1957 2022/07/30 08:37:07 - mmengine - INFO - Epoch(train) [29][2120/2505] lr: 5.0000e-04 eta: 20:11:33 time: 0.9336 data_time: 0.0273 memory: 32703 grad_norm: 18.7656 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4968 loss: 1.4968 2022/07/30 08:37:28 - mmengine - INFO - Epoch(train) [29][2140/2505] lr: 5.0000e-04 eta: 20:11:15 time: 1.0711 data_time: 0.0280 memory: 32703 grad_norm: 19.3283 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1539 loss: 1.1539 2022/07/30 08:37:47 - mmengine - INFO - Epoch(train) [29][2160/2505] lr: 5.0000e-04 eta: 20:10:53 time: 0.9207 data_time: 0.0279 memory: 32703 grad_norm: 19.6479 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2732 loss: 1.2732 2022/07/30 08:38:08 - mmengine - INFO - Epoch(train) [29][2180/2505] lr: 5.0000e-04 eta: 20:10:35 time: 1.0580 data_time: 0.0307 memory: 32703 grad_norm: 20.6526 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4325 loss: 1.4325 2022/07/30 08:38:26 - mmengine - INFO - Epoch(train) [29][2200/2505] lr: 5.0000e-04 eta: 20:10:13 time: 0.9133 data_time: 0.0290 memory: 32703 grad_norm: 19.7049 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4165 loss: 1.4165 2022/07/30 08:38:47 - mmengine - INFO - Epoch(train) [29][2220/2505] lr: 5.0000e-04 eta: 20:09:54 time: 1.0222 data_time: 0.0263 memory: 32703 grad_norm: 18.9794 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4334 loss: 1.4334 2022/07/30 08:39:06 - mmengine - INFO - Epoch(train) [29][2240/2505] lr: 5.0000e-04 eta: 20:09:33 time: 0.9556 data_time: 0.0306 memory: 32703 grad_norm: 20.5732 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3797 loss: 1.3797 2022/07/30 08:39:26 - mmengine - INFO - Epoch(train) [29][2260/2505] lr: 5.0000e-04 eta: 20:09:14 time: 1.0276 data_time: 0.0280 memory: 32703 grad_norm: 18.8433 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3023 loss: 1.3023 2022/07/30 08:39:46 - mmengine - INFO - Epoch(train) [29][2280/2505] lr: 5.0000e-04 eta: 20:08:53 time: 0.9680 data_time: 0.0270 memory: 32703 grad_norm: 19.4315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2919 loss: 1.2919 2022/07/30 08:40:06 - mmengine - INFO - Epoch(train) [29][2300/2505] lr: 5.0000e-04 eta: 20:08:34 time: 1.0249 data_time: 0.0269 memory: 32703 grad_norm: 19.7372 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3949 loss: 1.3949 2022/07/30 08:40:25 - mmengine - INFO - Epoch(train) [29][2320/2505] lr: 5.0000e-04 eta: 20:08:13 time: 0.9483 data_time: 0.0293 memory: 32703 grad_norm: 18.1261 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1551 loss: 1.1551 2022/07/30 08:40:47 - mmengine - INFO - Epoch(train) [29][2340/2505] lr: 5.0000e-04 eta: 20:07:55 time: 1.0788 data_time: 0.0285 memory: 32703 grad_norm: 19.5847 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.6358 loss: 1.6358 2022/07/30 08:41:05 - mmengine - INFO - Epoch(train) [29][2360/2505] lr: 5.0000e-04 eta: 20:07:33 time: 0.8967 data_time: 0.0284 memory: 32703 grad_norm: 18.8922 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2487 loss: 1.2487 2022/07/30 08:41:25 - mmengine - INFO - Epoch(train) [29][2380/2505] lr: 5.0000e-04 eta: 20:07:14 time: 1.0138 data_time: 0.0290 memory: 32703 grad_norm: 19.3502 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4933 loss: 1.4933 2022/07/30 08:41:43 - mmengine - INFO - Epoch(train) [29][2400/2505] lr: 5.0000e-04 eta: 20:06:52 time: 0.9168 data_time: 0.0308 memory: 32703 grad_norm: 19.3117 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4567 loss: 1.4567 2022/07/30 08:42:05 - mmengine - INFO - Epoch(train) [29][2420/2505] lr: 5.0000e-04 eta: 20:06:34 time: 1.0928 data_time: 0.0255 memory: 32703 grad_norm: 18.9307 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4948 loss: 1.4948 2022/07/30 08:42:23 - mmengine - INFO - Epoch(train) [29][2440/2505] lr: 5.0000e-04 eta: 20:06:12 time: 0.8958 data_time: 0.0297 memory: 32703 grad_norm: 20.0657 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3795 loss: 1.3795 2022/07/30 08:42:44 - mmengine - INFO - Epoch(train) [29][2460/2505] lr: 5.0000e-04 eta: 20:05:53 time: 1.0358 data_time: 0.0264 memory: 32703 grad_norm: 19.1219 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4214 loss: 1.4214 2022/07/30 08:43:02 - mmengine - INFO - Epoch(train) [29][2480/2505] lr: 5.0000e-04 eta: 20:05:31 time: 0.9036 data_time: 0.0281 memory: 32703 grad_norm: 18.9829 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.3585 loss: 1.3585 2022/07/30 08:43:21 - mmengine - INFO - Epoch(train) [29][2500/2505] lr: 5.0000e-04 eta: 20:05:10 time: 0.9292 data_time: 0.0254 memory: 32703 grad_norm: 19.1611 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2260 loss: 1.2260 2022/07/30 08:43:23 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 08:43:23 - mmengine - INFO - Epoch(train) [29][2505/2505] lr: 5.0000e-04 eta: 20:05:10 time: 0.7730 data_time: 0.0186 memory: 32703 grad_norm: 20.3157 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.3351 loss: 1.3351 2022/07/30 08:43:50 - mmengine - INFO - Epoch(train) [30][20/2505] lr: 5.0000e-04 eta: 20:04:47 time: 1.3280 data_time: 0.5966 memory: 32703 grad_norm: 19.0645 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 1.4445 loss: 1.4445 2022/07/30 08:44:08 - mmengine - INFO - Epoch(train) [30][40/2505] lr: 5.0000e-04 eta: 20:04:25 time: 0.9054 data_time: 0.1922 memory: 32703 grad_norm: 19.6481 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2233 loss: 1.2233 2022/07/30 08:44:30 - mmengine - INFO - Epoch(train) [30][60/2505] lr: 5.0000e-04 eta: 20:04:07 time: 1.0716 data_time: 0.4193 memory: 32703 grad_norm: 19.2799 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4099 loss: 1.4099 2022/07/30 08:44:48 - mmengine - INFO - Epoch(train) [30][80/2505] lr: 5.0000e-04 eta: 20:03:45 time: 0.9053 data_time: 0.2425 memory: 32703 grad_norm: 19.1198 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3518 loss: 1.3518 2022/07/30 08:45:10 - mmengine - INFO - Epoch(train) [30][100/2505] lr: 5.0000e-04 eta: 20:03:27 time: 1.0989 data_time: 0.3092 memory: 32703 grad_norm: 19.5446 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3348 loss: 1.3348 2022/07/30 08:45:28 - mmengine - INFO - Epoch(train) [30][120/2505] lr: 5.0000e-04 eta: 20:03:05 time: 0.8960 data_time: 0.2165 memory: 32703 grad_norm: 18.7037 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4313 loss: 1.4313 2022/07/30 08:45:50 - mmengine - INFO - Epoch(train) [30][140/2505] lr: 5.0000e-04 eta: 20:02:48 time: 1.1098 data_time: 0.3381 memory: 32703 grad_norm: 18.0728 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3446 loss: 1.3446 2022/07/30 08:46:08 - mmengine - INFO - Epoch(train) [30][160/2505] lr: 5.0000e-04 eta: 20:02:26 time: 0.8952 data_time: 0.1978 memory: 32703 grad_norm: 19.1826 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9839 loss: 0.9839 2022/07/30 08:46:29 - mmengine - INFO - Epoch(train) [30][180/2505] lr: 5.0000e-04 eta: 20:02:08 time: 1.0785 data_time: 0.2563 memory: 32703 grad_norm: 19.8218 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4689 loss: 1.4689 2022/07/30 08:46:48 - mmengine - INFO - Epoch(train) [30][200/2505] lr: 5.0000e-04 eta: 20:01:46 time: 0.9288 data_time: 0.1182 memory: 32703 grad_norm: 19.4115 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.1408 loss: 1.1408 2022/07/30 08:47:09 - mmengine - INFO - Epoch(train) [30][220/2505] lr: 5.0000e-04 eta: 20:01:28 time: 1.0644 data_time: 0.1001 memory: 32703 grad_norm: 18.0667 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3865 loss: 1.3865 2022/07/30 08:47:28 - mmengine - INFO - Epoch(train) [30][240/2505] lr: 5.0000e-04 eta: 20:01:07 time: 0.9337 data_time: 0.1398 memory: 32703 grad_norm: 19.2630 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1983 loss: 1.1983 2022/07/30 08:47:49 - mmengine - INFO - Epoch(train) [30][260/2505] lr: 5.0000e-04 eta: 20:00:48 time: 1.0724 data_time: 0.0589 memory: 32703 grad_norm: 20.0601 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1185 loss: 1.1185 2022/07/30 08:48:08 - mmengine - INFO - Epoch(train) [30][280/2505] lr: 5.0000e-04 eta: 20:00:27 time: 0.9415 data_time: 0.0405 memory: 32703 grad_norm: 19.2047 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2573 loss: 1.2573 2022/07/30 08:48:29 - mmengine - INFO - Epoch(train) [30][300/2505] lr: 5.0000e-04 eta: 20:00:08 time: 1.0292 data_time: 0.0339 memory: 32703 grad_norm: 18.7497 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.2883 loss: 1.2883 2022/07/30 08:48:48 - mmengine - INFO - Epoch(train) [30][320/2505] lr: 5.0000e-04 eta: 19:59:47 time: 0.9516 data_time: 0.0296 memory: 32703 grad_norm: 18.8376 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3368 loss: 1.3368 2022/07/30 08:49:08 - mmengine - INFO - Epoch(train) [30][340/2505] lr: 5.0000e-04 eta: 19:59:28 time: 1.0279 data_time: 0.0276 memory: 32703 grad_norm: 18.5902 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4664 loss: 1.4664 2022/07/30 08:49:24 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 08:49:27 - mmengine - INFO - Epoch(train) [30][360/2505] lr: 5.0000e-04 eta: 19:59:07 time: 0.9357 data_time: 0.0285 memory: 32703 grad_norm: 18.4057 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3770 loss: 1.3770 2022/07/30 08:49:47 - mmengine - INFO - Epoch(train) [30][380/2505] lr: 5.0000e-04 eta: 19:58:48 time: 1.0143 data_time: 0.0266 memory: 32703 grad_norm: 19.5482 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4530 loss: 1.4530 2022/07/30 08:50:05 - mmengine - INFO - Epoch(train) [30][400/2505] lr: 5.0000e-04 eta: 19:58:26 time: 0.8901 data_time: 0.0292 memory: 32703 grad_norm: 19.6329 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2023 loss: 1.2023 2022/07/30 08:50:26 - mmengine - INFO - Epoch(train) [30][420/2505] lr: 5.0000e-04 eta: 19:58:07 time: 1.0391 data_time: 0.0608 memory: 32703 grad_norm: 19.5346 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3860 loss: 1.3860 2022/07/30 08:50:44 - mmengine - INFO - Epoch(train) [30][440/2505] lr: 5.0000e-04 eta: 19:57:45 time: 0.9264 data_time: 0.0300 memory: 32703 grad_norm: 19.8636 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2030 loss: 1.2030 2022/07/30 08:51:06 - mmengine - INFO - Epoch(train) [30][460/2505] lr: 5.0000e-04 eta: 19:57:27 time: 1.0602 data_time: 0.0275 memory: 32703 grad_norm: 20.1671 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1741 loss: 1.1741 2022/07/30 08:51:23 - mmengine - INFO - Epoch(train) [30][480/2505] lr: 5.0000e-04 eta: 19:57:05 time: 0.8843 data_time: 0.0261 memory: 32703 grad_norm: 19.5443 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2443 loss: 1.2443 2022/07/30 08:51:46 - mmengine - INFO - Epoch(train) [30][500/2505] lr: 5.0000e-04 eta: 19:56:47 time: 1.1171 data_time: 0.0271 memory: 32703 grad_norm: 18.3505 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3803 loss: 1.3803 2022/07/30 08:52:03 - mmengine - INFO - Epoch(train) [30][520/2505] lr: 5.0000e-04 eta: 19:56:24 time: 0.8616 data_time: 0.0359 memory: 32703 grad_norm: 18.9148 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1999 loss: 1.1999 2022/07/30 08:52:25 - mmengine - INFO - Epoch(train) [30][540/2505] lr: 5.0000e-04 eta: 19:56:06 time: 1.0830 data_time: 0.0274 memory: 32703 grad_norm: 19.5411 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1911 loss: 1.1911 2022/07/30 08:52:43 - mmengine - INFO - Epoch(train) [30][560/2505] lr: 5.0000e-04 eta: 19:55:45 time: 0.9066 data_time: 0.0297 memory: 32703 grad_norm: 18.6077 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4475 loss: 1.4475 2022/07/30 08:53:03 - mmengine - INFO - Epoch(train) [30][580/2505] lr: 5.0000e-04 eta: 19:55:25 time: 1.0250 data_time: 0.0256 memory: 32703 grad_norm: 18.8516 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4215 loss: 1.4215 2022/07/30 08:53:22 - mmengine - INFO - Epoch(train) [30][600/2505] lr: 5.0000e-04 eta: 19:55:04 time: 0.9401 data_time: 0.0286 memory: 32703 grad_norm: 18.8262 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2608 loss: 1.2608 2022/07/30 08:53:44 - mmengine - INFO - Epoch(train) [30][620/2505] lr: 5.0000e-04 eta: 19:54:46 time: 1.0867 data_time: 0.0288 memory: 32703 grad_norm: 19.4497 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3141 loss: 1.3141 2022/07/30 08:54:02 - mmengine - INFO - Epoch(train) [30][640/2505] lr: 5.0000e-04 eta: 19:54:25 time: 0.9043 data_time: 0.0327 memory: 32703 grad_norm: 19.4930 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4216 loss: 1.4216 2022/07/30 08:54:23 - mmengine - INFO - Epoch(train) [30][660/2505] lr: 5.0000e-04 eta: 19:54:06 time: 1.0759 data_time: 0.0266 memory: 32703 grad_norm: 19.8726 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4063 loss: 1.4063 2022/07/30 08:54:41 - mmengine - INFO - Epoch(train) [30][680/2505] lr: 5.0000e-04 eta: 19:53:44 time: 0.9021 data_time: 0.0269 memory: 32703 grad_norm: 19.4732 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.4490 loss: 1.4490 2022/07/30 08:55:02 - mmengine - INFO - Epoch(train) [30][700/2505] lr: 5.0000e-04 eta: 19:53:26 time: 1.0431 data_time: 0.0281 memory: 32703 grad_norm: 19.5252 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4402 loss: 1.4402 2022/07/30 08:55:21 - mmengine - INFO - Epoch(train) [30][720/2505] lr: 5.0000e-04 eta: 19:53:04 time: 0.9285 data_time: 0.0408 memory: 32703 grad_norm: 20.5009 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4330 loss: 1.4330 2022/07/30 08:55:42 - mmengine - INFO - Epoch(train) [30][740/2505] lr: 5.0000e-04 eta: 19:52:46 time: 1.0778 data_time: 0.0412 memory: 32703 grad_norm: 18.9778 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2803 loss: 1.2803 2022/07/30 08:56:00 - mmengine - INFO - Epoch(train) [30][760/2505] lr: 5.0000e-04 eta: 19:52:24 time: 0.8999 data_time: 0.0746 memory: 32703 grad_norm: 19.5857 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2738 loss: 1.2738 2022/07/30 08:56:22 - mmengine - INFO - Epoch(train) [30][780/2505] lr: 5.0000e-04 eta: 19:52:06 time: 1.0643 data_time: 0.0507 memory: 32703 grad_norm: 19.2398 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4932 loss: 1.4932 2022/07/30 08:56:41 - mmengine - INFO - Epoch(train) [30][800/2505] lr: 5.0000e-04 eta: 19:51:45 time: 0.9475 data_time: 0.0533 memory: 32703 grad_norm: 19.4423 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5729 loss: 1.5729 2022/07/30 08:57:02 - mmengine - INFO - Epoch(train) [30][820/2505] lr: 5.0000e-04 eta: 19:51:26 time: 1.0723 data_time: 0.0272 memory: 32703 grad_norm: 18.3024 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4804 loss: 1.4804 2022/07/30 08:57:20 - mmengine - INFO - Epoch(train) [30][840/2505] lr: 5.0000e-04 eta: 19:51:05 time: 0.8966 data_time: 0.0275 memory: 32703 grad_norm: 18.5691 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1989 loss: 1.1989 2022/07/30 08:57:41 - mmengine - INFO - Epoch(train) [30][860/2505] lr: 5.0000e-04 eta: 19:50:46 time: 1.0694 data_time: 0.0264 memory: 32703 grad_norm: 19.3919 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2808 loss: 1.2808 2022/07/30 08:58:00 - mmengine - INFO - Epoch(train) [30][880/2505] lr: 5.0000e-04 eta: 19:50:25 time: 0.9278 data_time: 0.0282 memory: 32703 grad_norm: 18.6563 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.5236 loss: 1.5236 2022/07/30 08:58:20 - mmengine - INFO - Epoch(train) [30][900/2505] lr: 5.0000e-04 eta: 19:50:05 time: 0.9758 data_time: 0.0902 memory: 32703 grad_norm: 19.9584 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5516 loss: 1.5516 2022/07/30 08:58:40 - mmengine - INFO - Epoch(train) [30][920/2505] lr: 5.0000e-04 eta: 19:49:45 time: 1.0218 data_time: 0.0279 memory: 32703 grad_norm: 19.5966 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3733 loss: 1.3733 2022/07/30 08:58:59 - mmengine - INFO - Epoch(train) [30][940/2505] lr: 5.0000e-04 eta: 19:49:25 time: 0.9702 data_time: 0.0280 memory: 32703 grad_norm: 19.1759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4903 loss: 1.4903 2022/07/30 08:59:18 - mmengine - INFO - Epoch(train) [30][960/2505] lr: 5.0000e-04 eta: 19:49:04 time: 0.9291 data_time: 0.0285 memory: 32703 grad_norm: 18.7036 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3632 loss: 1.3632 2022/07/30 08:59:39 - mmengine - INFO - Epoch(train) [30][980/2505] lr: 5.0000e-04 eta: 19:48:45 time: 1.0366 data_time: 0.0995 memory: 32703 grad_norm: 19.1914 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4173 loss: 1.4173 2022/07/30 08:59:58 - mmengine - INFO - Epoch(train) [30][1000/2505] lr: 5.0000e-04 eta: 19:48:24 time: 0.9669 data_time: 0.1345 memory: 32703 grad_norm: 19.8907 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4275 loss: 1.4275 2022/07/30 09:00:19 - mmengine - INFO - Epoch(train) [30][1020/2505] lr: 5.0000e-04 eta: 19:48:05 time: 1.0359 data_time: 0.2947 memory: 32703 grad_norm: 19.4452 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4654 loss: 1.4654 2022/07/30 09:00:39 - mmengine - INFO - Epoch(train) [30][1040/2505] lr: 5.0000e-04 eta: 19:47:45 time: 1.0043 data_time: 0.3828 memory: 32703 grad_norm: 18.8883 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.4084 loss: 1.4084 2022/07/30 09:00:57 - mmengine - INFO - Epoch(train) [30][1060/2505] lr: 5.0000e-04 eta: 19:47:24 time: 0.9180 data_time: 0.2916 memory: 32703 grad_norm: 19.2009 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3054 loss: 1.3054 2022/07/30 09:01:19 - mmengine - INFO - Epoch(train) [30][1080/2505] lr: 5.0000e-04 eta: 19:47:05 time: 1.0665 data_time: 0.4450 memory: 32703 grad_norm: 18.8786 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2183 loss: 1.2183 2022/07/30 09:01:36 - mmengine - INFO - Epoch(train) [30][1100/2505] lr: 5.0000e-04 eta: 19:46:43 time: 0.8808 data_time: 0.2919 memory: 32703 grad_norm: 19.6168 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4205 loss: 1.4205 2022/07/30 09:01:59 - mmengine - INFO - Epoch(train) [30][1120/2505] lr: 5.0000e-04 eta: 19:46:26 time: 1.1305 data_time: 0.5077 memory: 32703 grad_norm: 18.4529 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3770 loss: 1.3770 2022/07/30 09:02:16 - mmengine - INFO - Epoch(train) [30][1140/2505] lr: 5.0000e-04 eta: 19:46:03 time: 0.8611 data_time: 0.2378 memory: 32703 grad_norm: 18.8567 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.3621 loss: 1.3621 2022/07/30 09:02:37 - mmengine - INFO - Epoch(train) [30][1160/2505] lr: 5.0000e-04 eta: 19:45:44 time: 1.0389 data_time: 0.4242 memory: 32703 grad_norm: 19.3725 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4082 loss: 1.4082 2022/07/30 09:02:55 - mmengine - INFO - Epoch(train) [30][1180/2505] lr: 5.0000e-04 eta: 19:45:22 time: 0.8837 data_time: 0.2927 memory: 32703 grad_norm: 19.5967 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3893 loss: 1.3893 2022/07/30 09:03:15 - mmengine - INFO - Epoch(train) [30][1200/2505] lr: 5.0000e-04 eta: 19:45:03 time: 1.0284 data_time: 0.4225 memory: 32703 grad_norm: 19.4331 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3402 loss: 1.3402 2022/07/30 09:03:33 - mmengine - INFO - Epoch(train) [30][1220/2505] lr: 5.0000e-04 eta: 19:44:41 time: 0.8872 data_time: 0.3052 memory: 32703 grad_norm: 18.5531 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3925 loss: 1.3925 2022/07/30 09:03:54 - mmengine - INFO - Epoch(train) [30][1240/2505] lr: 5.0000e-04 eta: 19:44:22 time: 1.0386 data_time: 0.3734 memory: 32703 grad_norm: 18.9788 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0605 loss: 1.0605 2022/07/30 09:04:12 - mmengine - INFO - Epoch(train) [30][1260/2505] lr: 5.0000e-04 eta: 19:44:01 time: 0.9425 data_time: 0.3288 memory: 32703 grad_norm: 19.5977 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2608 loss: 1.2608 2022/07/30 09:04:34 - mmengine - INFO - Epoch(train) [30][1280/2505] lr: 5.0000e-04 eta: 19:43:42 time: 1.0616 data_time: 0.4472 memory: 32703 grad_norm: 18.9171 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2798 loss: 1.2798 2022/07/30 09:04:52 - mmengine - INFO - Epoch(train) [30][1300/2505] lr: 5.0000e-04 eta: 19:43:21 time: 0.9312 data_time: 0.2850 memory: 32703 grad_norm: 19.1052 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4420 loss: 1.4420 2022/07/30 09:05:14 - mmengine - INFO - Epoch(train) [30][1320/2505] lr: 5.0000e-04 eta: 19:43:03 time: 1.0722 data_time: 0.4204 memory: 32703 grad_norm: 18.8918 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3525 loss: 1.3525 2022/07/30 09:05:33 - mmengine - INFO - Epoch(train) [30][1340/2505] lr: 5.0000e-04 eta: 19:42:42 time: 0.9332 data_time: 0.3140 memory: 32703 grad_norm: 19.2811 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3383 loss: 1.3383 2022/07/30 09:05:47 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 09:05:53 - mmengine - INFO - Epoch(train) [30][1360/2505] lr: 5.0000e-04 eta: 19:42:23 time: 1.0464 data_time: 0.4194 memory: 32703 grad_norm: 19.7718 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3392 loss: 1.3392 2022/07/30 09:06:10 - mmengine - INFO - Epoch(train) [30][1380/2505] lr: 5.0000e-04 eta: 19:42:00 time: 0.8524 data_time: 0.2464 memory: 32703 grad_norm: 19.4179 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2181 loss: 1.2181 2022/07/30 09:06:32 - mmengine - INFO - Epoch(train) [30][1400/2505] lr: 5.0000e-04 eta: 19:41:41 time: 1.0503 data_time: 0.4291 memory: 32703 grad_norm: 19.2338 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3506 loss: 1.3506 2022/07/30 09:06:50 - mmengine - INFO - Epoch(train) [30][1420/2505] lr: 5.0000e-04 eta: 19:41:20 time: 0.9127 data_time: 0.3006 memory: 32703 grad_norm: 19.0956 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2682 loss: 1.2682 2022/07/30 09:07:12 - mmengine - INFO - Epoch(train) [30][1440/2505] lr: 5.0000e-04 eta: 19:41:02 time: 1.1064 data_time: 0.4984 memory: 32703 grad_norm: 19.8271 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1751 loss: 1.1751 2022/07/30 09:07:31 - mmengine - INFO - Epoch(train) [30][1460/2505] lr: 5.0000e-04 eta: 19:40:41 time: 0.9351 data_time: 0.3461 memory: 32703 grad_norm: 19.0023 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9046 loss: 0.9046 2022/07/30 09:07:51 - mmengine - INFO - Epoch(train) [30][1480/2505] lr: 5.0000e-04 eta: 19:40:22 time: 1.0202 data_time: 0.4002 memory: 32703 grad_norm: 19.3887 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4458 loss: 1.4458 2022/07/30 09:08:09 - mmengine - INFO - Epoch(train) [30][1500/2505] lr: 5.0000e-04 eta: 19:40:00 time: 0.9127 data_time: 0.2988 memory: 32703 grad_norm: 19.3807 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.1624 loss: 1.1624 2022/07/30 09:08:31 - mmengine - INFO - Epoch(train) [30][1520/2505] lr: 5.0000e-04 eta: 19:39:42 time: 1.0729 data_time: 0.4860 memory: 32703 grad_norm: 19.0071 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3514 loss: 1.3514 2022/07/30 09:08:49 - mmengine - INFO - Epoch(train) [30][1540/2505] lr: 5.0000e-04 eta: 19:39:20 time: 0.9109 data_time: 0.3057 memory: 32703 grad_norm: 18.7127 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.5182 loss: 1.5182 2022/07/30 09:09:10 - mmengine - INFO - Epoch(train) [30][1560/2505] lr: 5.0000e-04 eta: 19:39:01 time: 1.0484 data_time: 0.4269 memory: 32703 grad_norm: 19.2113 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4099 loss: 1.4099 2022/07/30 09:09:28 - mmengine - INFO - Epoch(train) [30][1580/2505] lr: 5.0000e-04 eta: 19:38:40 time: 0.8965 data_time: 0.2800 memory: 32703 grad_norm: 19.2358 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4086 loss: 1.4086 2022/07/30 09:09:50 - mmengine - INFO - Epoch(train) [30][1600/2505] lr: 5.0000e-04 eta: 19:38:21 time: 1.0850 data_time: 0.4903 memory: 32703 grad_norm: 18.4943 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2856 loss: 1.2856 2022/07/30 09:10:08 - mmengine - INFO - Epoch(train) [30][1620/2505] lr: 5.0000e-04 eta: 19:38:00 time: 0.9278 data_time: 0.3057 memory: 32703 grad_norm: 20.2562 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4844 loss: 1.4844 2022/07/30 09:10:29 - mmengine - INFO - Epoch(train) [30][1640/2505] lr: 5.0000e-04 eta: 19:37:41 time: 1.0473 data_time: 0.4454 memory: 32703 grad_norm: 18.8465 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4125 loss: 1.4125 2022/07/30 09:10:47 - mmengine - INFO - Epoch(train) [30][1660/2505] lr: 5.0000e-04 eta: 19:37:19 time: 0.8853 data_time: 0.2692 memory: 32703 grad_norm: 19.2441 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2710 loss: 1.2710 2022/07/30 09:11:08 - mmengine - INFO - Epoch(train) [30][1680/2505] lr: 5.0000e-04 eta: 19:37:00 time: 1.0533 data_time: 0.4311 memory: 32703 grad_norm: 19.6247 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1390 loss: 1.1390 2022/07/30 09:11:26 - mmengine - INFO - Epoch(train) [30][1700/2505] lr: 5.0000e-04 eta: 19:36:39 time: 0.8977 data_time: 0.2854 memory: 32703 grad_norm: 19.5411 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3363 loss: 1.3363 2022/07/30 09:11:47 - mmengine - INFO - Epoch(train) [30][1720/2505] lr: 5.0000e-04 eta: 19:36:20 time: 1.0587 data_time: 0.4225 memory: 32703 grad_norm: 18.1880 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3015 loss: 1.3015 2022/07/30 09:12:06 - mmengine - INFO - Epoch(train) [30][1740/2505] lr: 5.0000e-04 eta: 19:35:59 time: 0.9318 data_time: 0.2502 memory: 32703 grad_norm: 19.2535 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3686 loss: 1.3686 2022/07/30 09:12:26 - mmengine - INFO - Epoch(train) [30][1760/2505] lr: 5.0000e-04 eta: 19:35:39 time: 1.0022 data_time: 0.2758 memory: 32703 grad_norm: 19.2438 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0312 loss: 1.0312 2022/07/30 09:12:46 - mmengine - INFO - Epoch(train) [30][1780/2505] lr: 5.0000e-04 eta: 19:35:20 time: 1.0264 data_time: 0.1588 memory: 32703 grad_norm: 19.8972 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.5684 loss: 1.5684 2022/07/30 09:13:05 - mmengine - INFO - Epoch(train) [30][1800/2505] lr: 5.0000e-04 eta: 19:34:59 time: 0.9577 data_time: 0.1291 memory: 32703 grad_norm: 17.7572 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4067 loss: 1.4067 2022/07/30 09:13:27 - mmengine - INFO - Epoch(train) [30][1820/2505] lr: 5.0000e-04 eta: 19:34:41 time: 1.0837 data_time: 0.0318 memory: 32703 grad_norm: 19.5541 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3299 loss: 1.3299 2022/07/30 09:13:44 - mmengine - INFO - Epoch(train) [30][1840/2505] lr: 5.0000e-04 eta: 19:34:19 time: 0.8605 data_time: 0.0432 memory: 32703 grad_norm: 18.7199 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.5341 loss: 1.5341 2022/07/30 09:14:05 - mmengine - INFO - Epoch(train) [30][1860/2505] lr: 5.0000e-04 eta: 19:33:59 time: 1.0242 data_time: 0.1081 memory: 32703 grad_norm: 18.6458 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4112 loss: 1.4112 2022/07/30 09:14:24 - mmengine - INFO - Epoch(train) [30][1880/2505] lr: 5.0000e-04 eta: 19:33:39 time: 0.9800 data_time: 0.2478 memory: 32703 grad_norm: 18.7357 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3857 loss: 1.3857 2022/07/30 09:14:43 - mmengine - INFO - Epoch(train) [30][1900/2505] lr: 5.0000e-04 eta: 19:33:18 time: 0.9279 data_time: 0.2932 memory: 32703 grad_norm: 19.2285 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2551 loss: 1.2551 2022/07/30 09:15:05 - mmengine - INFO - Epoch(train) [30][1920/2505] lr: 5.0000e-04 eta: 19:33:00 time: 1.0956 data_time: 0.4747 memory: 32703 grad_norm: 19.3865 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.5672 loss: 1.5672 2022/07/30 09:15:24 - mmengine - INFO - Epoch(train) [30][1940/2505] lr: 5.0000e-04 eta: 19:32:39 time: 0.9363 data_time: 0.3194 memory: 32703 grad_norm: 19.2081 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4457 loss: 1.4457 2022/07/30 09:15:44 - mmengine - INFO - Epoch(train) [30][1960/2505] lr: 5.0000e-04 eta: 19:32:19 time: 1.0241 data_time: 0.4008 memory: 32703 grad_norm: 19.3279 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4467 loss: 1.4467 2022/07/30 09:16:03 - mmengine - INFO - Epoch(train) [30][1980/2505] lr: 5.0000e-04 eta: 19:31:58 time: 0.9300 data_time: 0.3132 memory: 32703 grad_norm: 19.5327 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3640 loss: 1.3640 2022/07/30 09:16:25 - mmengine - INFO - Epoch(train) [30][2000/2505] lr: 5.0000e-04 eta: 19:31:40 time: 1.0898 data_time: 0.4716 memory: 32703 grad_norm: 18.5399 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.4177 loss: 1.4177 2022/07/30 09:16:42 - mmengine - INFO - Epoch(train) [30][2020/2505] lr: 5.0000e-04 eta: 19:31:18 time: 0.8919 data_time: 0.2889 memory: 32703 grad_norm: 19.0557 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2784 loss: 1.2784 2022/07/30 09:17:03 - mmengine - INFO - Epoch(train) [30][2040/2505] lr: 5.0000e-04 eta: 19:30:59 time: 1.0319 data_time: 0.4035 memory: 32703 grad_norm: 19.8252 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2706 loss: 1.2706 2022/07/30 09:17:21 - mmengine - INFO - Epoch(train) [30][2060/2505] lr: 5.0000e-04 eta: 19:30:38 time: 0.9172 data_time: 0.3050 memory: 32703 grad_norm: 19.5968 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1198 loss: 1.1198 2022/07/30 09:17:43 - mmengine - INFO - Epoch(train) [30][2080/2505] lr: 5.0000e-04 eta: 19:30:19 time: 1.0697 data_time: 0.4544 memory: 32703 grad_norm: 19.1543 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3366 loss: 1.3366 2022/07/30 09:18:01 - mmengine - INFO - Epoch(train) [30][2100/2505] lr: 5.0000e-04 eta: 19:29:58 time: 0.9035 data_time: 0.3137 memory: 32703 grad_norm: 20.9174 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.6668 loss: 1.6668 2022/07/30 09:18:23 - mmengine - INFO - Epoch(train) [30][2120/2505] lr: 5.0000e-04 eta: 19:29:40 time: 1.1115 data_time: 0.5226 memory: 32703 grad_norm: 18.9619 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.3772 loss: 1.3772 2022/07/30 09:18:41 - mmengine - INFO - Epoch(train) [30][2140/2505] lr: 5.0000e-04 eta: 19:29:18 time: 0.9054 data_time: 0.3076 memory: 32703 grad_norm: 19.3271 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0442 loss: 1.0442 2022/07/30 09:19:02 - mmengine - INFO - Epoch(train) [30][2160/2505] lr: 5.0000e-04 eta: 19:28:59 time: 1.0322 data_time: 0.4141 memory: 32703 grad_norm: 19.8965 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3174 loss: 1.3174 2022/07/30 09:19:20 - mmengine - INFO - Epoch(train) [30][2180/2505] lr: 5.0000e-04 eta: 19:28:38 time: 0.9307 data_time: 0.3175 memory: 32703 grad_norm: 19.8821 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2505 loss: 1.2505 2022/07/30 09:19:42 - mmengine - INFO - Epoch(train) [30][2200/2505] lr: 5.0000e-04 eta: 19:28:20 time: 1.0693 data_time: 0.4549 memory: 32703 grad_norm: 20.0064 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4185 loss: 1.4185 2022/07/30 09:20:00 - mmengine - INFO - Epoch(train) [30][2220/2505] lr: 5.0000e-04 eta: 19:27:58 time: 0.9040 data_time: 0.2912 memory: 32703 grad_norm: 18.7844 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4812 loss: 1.4812 2022/07/30 09:20:21 - mmengine - INFO - Epoch(train) [30][2240/2505] lr: 5.0000e-04 eta: 19:27:39 time: 1.0501 data_time: 0.4384 memory: 32703 grad_norm: 19.7461 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.0687 loss: 1.0687 2022/07/30 09:20:38 - mmengine - INFO - Epoch(train) [30][2260/2505] lr: 5.0000e-04 eta: 19:27:17 time: 0.8719 data_time: 0.2641 memory: 32703 grad_norm: 18.5854 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5150 loss: 1.5150 2022/07/30 09:20:59 - mmengine - INFO - Epoch(train) [30][2280/2505] lr: 5.0000e-04 eta: 19:26:58 time: 1.0563 data_time: 0.4602 memory: 32703 grad_norm: 19.2266 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4419 loss: 1.4419 2022/07/30 09:21:18 - mmengine - INFO - Epoch(train) [30][2300/2505] lr: 5.0000e-04 eta: 19:26:37 time: 0.9251 data_time: 0.3212 memory: 32703 grad_norm: 18.2479 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3781 loss: 1.3781 2022/07/30 09:21:40 - mmengine - INFO - Epoch(train) [30][2320/2505] lr: 5.0000e-04 eta: 19:26:19 time: 1.0905 data_time: 0.4716 memory: 32703 grad_norm: 19.7595 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3874 loss: 1.3874 2022/07/30 09:21:58 - mmengine - INFO - Epoch(train) [30][2340/2505] lr: 5.0000e-04 eta: 19:25:58 time: 0.9235 data_time: 0.3073 memory: 32703 grad_norm: 19.3225 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2791 loss: 1.2791 2022/07/30 09:22:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 09:22:21 - mmengine - INFO - Epoch(train) [30][2360/2505] lr: 5.0000e-04 eta: 19:25:40 time: 1.1154 data_time: 0.4956 memory: 32703 grad_norm: 19.2418 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3183 loss: 1.3183 2022/07/30 09:22:37 - mmengine - INFO - Epoch(train) [30][2380/2505] lr: 5.0000e-04 eta: 19:25:17 time: 0.8433 data_time: 0.2207 memory: 32703 grad_norm: 19.1139 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4676 loss: 1.4676 2022/07/30 09:22:59 - mmengine - INFO - Epoch(train) [30][2400/2505] lr: 5.0000e-04 eta: 19:24:59 time: 1.1000 data_time: 0.4732 memory: 32703 grad_norm: 18.5626 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2789 loss: 1.2789 2022/07/30 09:23:17 - mmengine - INFO - Epoch(train) [30][2420/2505] lr: 5.0000e-04 eta: 19:24:37 time: 0.8822 data_time: 0.2631 memory: 32703 grad_norm: 19.0725 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.5765 loss: 1.5765 2022/07/30 09:23:38 - mmengine - INFO - Epoch(train) [30][2440/2505] lr: 5.0000e-04 eta: 19:24:18 time: 1.0571 data_time: 0.4541 memory: 32703 grad_norm: 18.4230 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4442 loss: 1.4442 2022/07/30 09:23:56 - mmengine - INFO - Epoch(train) [30][2460/2505] lr: 5.0000e-04 eta: 19:23:57 time: 0.9069 data_time: 0.3117 memory: 32703 grad_norm: 19.2755 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2191 loss: 1.2191 2022/07/30 09:24:18 - mmengine - INFO - Epoch(train) [30][2480/2505] lr: 5.0000e-04 eta: 19:23:38 time: 1.0723 data_time: 0.4577 memory: 32703 grad_norm: 18.8592 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3290 loss: 1.3290 2022/07/30 09:24:34 - mmengine - INFO - Epoch(train) [30][2500/2505] lr: 5.0000e-04 eta: 19:23:15 time: 0.8224 data_time: 0.2377 memory: 32703 grad_norm: 18.7090 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3810 loss: 1.3810 2022/07/30 09:24:38 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 09:24:38 - mmengine - INFO - Epoch(train) [30][2505/2505] lr: 5.0000e-04 eta: 19:23:15 time: 0.7195 data_time: 0.1182 memory: 32703 grad_norm: 19.0032 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3523 loss: 1.3523 2022/07/30 09:24:38 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/07/30 09:24:46 - mmengine - INFO - Epoch(val) [30][20/2475] eta: 0:04:22 time: 0.1068 data_time: 0.0798 memory: 817 2022/07/30 09:24:47 - mmengine - INFO - Epoch(val) [30][40/2475] eta: 0:02:47 time: 0.0687 data_time: 0.0421 memory: 817 2022/07/30 09:24:49 - mmengine - INFO - Epoch(val) [30][60/2475] eta: 0:04:02 time: 0.1002 data_time: 0.0730 memory: 817 2022/07/30 09:24:51 - mmengine - INFO - Epoch(val) [30][80/2475] eta: 0:02:43 time: 0.0682 data_time: 0.0383 memory: 817 2022/07/30 09:24:53 - mmengine - INFO - Epoch(val) [30][100/2475] eta: 0:03:58 time: 0.1004 data_time: 0.0710 memory: 817 2022/07/30 09:24:54 - mmengine - INFO - Epoch(val) [30][120/2475] eta: 0:02:32 time: 0.0649 data_time: 0.0377 memory: 817 2022/07/30 09:24:56 - mmengine - INFO - Epoch(val) [30][140/2475] eta: 0:03:38 time: 0.0936 data_time: 0.0617 memory: 817 2022/07/30 09:24:57 - mmengine - INFO - Epoch(val) [30][160/2475] eta: 0:02:49 time: 0.0731 data_time: 0.0433 memory: 817 2022/07/30 09:24:59 - mmengine - INFO - Epoch(val) [30][180/2475] eta: 0:03:35 time: 0.0940 data_time: 0.0678 memory: 817 2022/07/30 09:25:00 - mmengine - INFO - Epoch(val) [30][200/2475] eta: 0:02:15 time: 0.0596 data_time: 0.0304 memory: 817 2022/07/30 09:25:02 - mmengine - INFO - Epoch(val) [30][220/2475] eta: 0:03:57 time: 0.1053 data_time: 0.0795 memory: 817 2022/07/30 09:25:04 - mmengine - INFO - Epoch(val) [30][240/2475] eta: 0:02:54 time: 0.0783 data_time: 0.0517 memory: 817 2022/07/30 09:25:06 - mmengine - INFO - Epoch(val) [30][260/2475] eta: 0:03:06 time: 0.0841 data_time: 0.0568 memory: 817 2022/07/30 09:25:07 - mmengine - INFO - Epoch(val) [30][280/2475] eta: 0:02:34 time: 0.0702 data_time: 0.0426 memory: 817 2022/07/30 09:25:09 - mmengine - INFO - Epoch(val) [30][300/2475] eta: 0:03:22 time: 0.0933 data_time: 0.0663 memory: 817 2022/07/30 09:25:10 - mmengine - INFO - Epoch(val) [30][320/2475] eta: 0:02:30 time: 0.0697 data_time: 0.0405 memory: 817 2022/07/30 09:25:12 - mmengine - INFO - Epoch(val) [30][340/2475] eta: 0:02:43 time: 0.0766 data_time: 0.0490 memory: 817 2022/07/30 09:25:14 - mmengine - INFO - Epoch(val) [30][360/2475] eta: 0:02:58 time: 0.0843 data_time: 0.0562 memory: 817 2022/07/30 09:25:15 - mmengine - INFO - Epoch(val) [30][380/2475] eta: 0:02:30 time: 0.0718 data_time: 0.0431 memory: 817 2022/07/30 09:25:17 - mmengine - INFO - Epoch(val) [30][400/2475] eta: 0:02:51 time: 0.0826 data_time: 0.0413 memory: 817 2022/07/30 09:25:18 - mmengine - INFO - Epoch(val) [30][420/2475] eta: 0:02:40 time: 0.0779 data_time: 0.0493 memory: 817 2022/07/30 09:25:20 - mmengine - INFO - Epoch(val) [30][440/2475] eta: 0:02:44 time: 0.0807 data_time: 0.0506 memory: 817 2022/07/30 09:25:21 - mmengine - INFO - Epoch(val) [30][460/2475] eta: 0:02:38 time: 0.0785 data_time: 0.0494 memory: 817 2022/07/30 09:25:23 - mmengine - INFO - Epoch(val) [30][480/2475] eta: 0:02:56 time: 0.0887 data_time: 0.0598 memory: 817 2022/07/30 09:25:25 - mmengine - INFO - Epoch(val) [30][500/2475] eta: 0:02:23 time: 0.0729 data_time: 0.0430 memory: 817 2022/07/30 09:25:27 - mmengine - INFO - Epoch(val) [30][520/2475] eta: 0:03:09 time: 0.0970 data_time: 0.0532 memory: 817 2022/07/30 09:25:28 - mmengine - INFO - Epoch(val) [30][540/2475] eta: 0:01:54 time: 0.0590 data_time: 0.0277 memory: 817 2022/07/30 09:25:30 - mmengine - INFO - Epoch(val) [30][560/2475] eta: 0:02:55 time: 0.0914 data_time: 0.0638 memory: 817 2022/07/30 09:25:31 - mmengine - INFO - Epoch(val) [30][580/2475] eta: 0:02:27 time: 0.0777 data_time: 0.0497 memory: 817 2022/07/30 09:25:33 - mmengine - INFO - Epoch(val) [30][600/2475] eta: 0:02:51 time: 0.0912 data_time: 0.0636 memory: 817 2022/07/30 09:25:35 - mmengine - INFO - Epoch(val) [30][620/2475] eta: 0:02:29 time: 0.0808 data_time: 0.0538 memory: 817 2022/07/30 09:25:37 - mmengine - INFO - Epoch(val) [30][640/2475] eta: 0:03:27 time: 0.1131 data_time: 0.0776 memory: 817 2022/07/30 09:25:38 - mmengine - INFO - Epoch(val) [30][660/2475] eta: 0:01:37 time: 0.0535 data_time: 0.0244 memory: 817 2022/07/30 09:25:40 - mmengine - INFO - Epoch(val) [30][680/2475] eta: 0:02:46 time: 0.0930 data_time: 0.0661 memory: 817 2022/07/30 09:25:41 - mmengine - INFO - Epoch(val) [30][700/2475] eta: 0:02:06 time: 0.0710 data_time: 0.0437 memory: 817 2022/07/30 09:25:43 - mmengine - INFO - Epoch(val) [30][720/2475] eta: 0:02:24 time: 0.0821 data_time: 0.0554 memory: 817 2022/07/30 09:25:44 - mmengine - INFO - Epoch(val) [30][740/2475] eta: 0:02:16 time: 0.0785 data_time: 0.0511 memory: 817 2022/07/30 09:25:46 - mmengine - INFO - Epoch(val) [30][760/2475] eta: 0:02:16 time: 0.0798 data_time: 0.0527 memory: 817 2022/07/30 09:25:48 - mmengine - INFO - Epoch(val) [30][780/2475] eta: 0:02:23 time: 0.0845 data_time: 0.0571 memory: 817 2022/07/30 09:25:49 - mmengine - INFO - Epoch(val) [30][800/2475] eta: 0:02:20 time: 0.0837 data_time: 0.0554 memory: 817 2022/07/30 09:25:51 - mmengine - INFO - Epoch(val) [30][820/2475] eta: 0:01:50 time: 0.0665 data_time: 0.0388 memory: 817 2022/07/30 09:25:52 - mmengine - INFO - Epoch(val) [30][840/2475] eta: 0:02:16 time: 0.0837 data_time: 0.0562 memory: 817 2022/07/30 09:25:54 - mmengine - INFO - Epoch(val) [30][860/2475] eta: 0:02:09 time: 0.0804 data_time: 0.0545 memory: 817 2022/07/30 09:25:56 - mmengine - INFO - Epoch(val) [30][880/2475] eta: 0:02:09 time: 0.0814 data_time: 0.0515 memory: 817 2022/07/30 09:25:57 - mmengine - INFO - Epoch(val) [30][900/2475] eta: 0:02:13 time: 0.0849 data_time: 0.0316 memory: 817 2022/07/30 09:25:59 - mmengine - INFO - Epoch(val) [30][920/2475] eta: 0:02:19 time: 0.0895 data_time: 0.0590 memory: 817 2022/07/30 09:26:01 - mmengine - INFO - Epoch(val) [30][940/2475] eta: 0:01:48 time: 0.0704 data_time: 0.0431 memory: 817 2022/07/30 09:26:02 - mmengine - INFO - Epoch(val) [30][960/2475] eta: 0:02:25 time: 0.0961 data_time: 0.0691 memory: 817 2022/07/30 09:26:04 - mmengine - INFO - Epoch(val) [30][980/2475] eta: 0:01:42 time: 0.0685 data_time: 0.0418 memory: 817 2022/07/30 09:26:06 - mmengine - INFO - Epoch(val) [30][1000/2475] eta: 0:02:05 time: 0.0854 data_time: 0.0582 memory: 817 2022/07/30 09:26:07 - mmengine - INFO - Epoch(val) [30][1020/2475] eta: 0:01:58 time: 0.0812 data_time: 0.0542 memory: 817 2022/07/30 09:26:09 - mmengine - INFO - Epoch(val) [30][1040/2475] eta: 0:01:53 time: 0.0791 data_time: 0.0504 memory: 817 2022/07/30 09:26:10 - mmengine - INFO - Epoch(val) [30][1060/2475] eta: 0:01:45 time: 0.0749 data_time: 0.0487 memory: 817 2022/07/30 09:26:12 - mmengine - INFO - Epoch(val) [30][1080/2475] eta: 0:01:58 time: 0.0846 data_time: 0.0573 memory: 817 2022/07/30 09:26:14 - mmengine - INFO - Epoch(val) [30][1100/2475] eta: 0:01:47 time: 0.0780 data_time: 0.0516 memory: 817 2022/07/30 09:26:15 - mmengine - INFO - Epoch(val) [30][1120/2475] eta: 0:02:10 time: 0.0967 data_time: 0.0693 memory: 817 2022/07/30 09:26:17 - mmengine - INFO - Epoch(val) [30][1140/2475] eta: 0:01:44 time: 0.0784 data_time: 0.0315 memory: 817 2022/07/30 09:26:19 - mmengine - INFO - Epoch(val) [30][1160/2475] eta: 0:01:38 time: 0.0749 data_time: 0.0427 memory: 817 2022/07/30 09:26:20 - mmengine - INFO - Epoch(val) [30][1180/2475] eta: 0:01:36 time: 0.0745 data_time: 0.0464 memory: 817 2022/07/30 09:26:22 - mmengine - INFO - Epoch(val) [30][1200/2475] eta: 0:01:56 time: 0.0913 data_time: 0.0655 memory: 817 2022/07/30 09:26:23 - mmengine - INFO - Epoch(val) [30][1220/2475] eta: 0:01:31 time: 0.0732 data_time: 0.0466 memory: 817 2022/07/30 09:26:25 - mmengine - INFO - Epoch(val) [30][1240/2475] eta: 0:01:51 time: 0.0904 data_time: 0.0613 memory: 817 2022/07/30 09:26:27 - mmengine - INFO - Epoch(val) [30][1260/2475] eta: 0:01:26 time: 0.0708 data_time: 0.0443 memory: 817 2022/07/30 09:26:28 - mmengine - INFO - Epoch(val) [30][1280/2475] eta: 0:01:56 time: 0.0971 data_time: 0.0698 memory: 817 2022/07/30 09:26:30 - mmengine - INFO - Epoch(val) [30][1300/2475] eta: 0:01:29 time: 0.0765 data_time: 0.0507 memory: 817 2022/07/30 09:26:32 - mmengine - INFO - Epoch(val) [30][1320/2475] eta: 0:01:43 time: 0.0895 data_time: 0.0627 memory: 817 2022/07/30 09:26:33 - mmengine - INFO - Epoch(val) [30][1340/2475] eta: 0:01:11 time: 0.0633 data_time: 0.0368 memory: 817 2022/07/30 09:26:35 - mmengine - INFO - Epoch(val) [30][1360/2475] eta: 0:01:32 time: 0.0833 data_time: 0.0570 memory: 817 2022/07/30 09:26:37 - mmengine - INFO - Epoch(val) [30][1380/2475] eta: 0:01:44 time: 0.0954 data_time: 0.0622 memory: 817 2022/07/30 09:26:38 - mmengine - INFO - Epoch(val) [30][1400/2475] eta: 0:01:09 time: 0.0645 data_time: 0.0363 memory: 817 2022/07/30 09:26:40 - mmengine - INFO - Epoch(val) [30][1420/2475] eta: 0:01:38 time: 0.0932 data_time: 0.0668 memory: 817 2022/07/30 09:26:41 - mmengine - INFO - Epoch(val) [30][1440/2475] eta: 0:01:16 time: 0.0739 data_time: 0.0454 memory: 817 2022/07/30 09:26:43 - mmengine - INFO - Epoch(val) [30][1460/2475] eta: 0:01:21 time: 0.0800 data_time: 0.0528 memory: 817 2022/07/30 09:26:45 - mmengine - INFO - Epoch(val) [30][1480/2475] eta: 0:01:27 time: 0.0878 data_time: 0.0597 memory: 817 2022/07/30 09:26:46 - mmengine - INFO - Epoch(val) [30][1500/2475] eta: 0:01:13 time: 0.0752 data_time: 0.0475 memory: 817 2022/07/30 09:26:48 - mmengine - INFO - Epoch(val) [30][1520/2475] eta: 0:01:21 time: 0.0852 data_time: 0.0572 memory: 817 2022/07/30 09:26:50 - mmengine - INFO - Epoch(val) [30][1540/2475] eta: 0:01:20 time: 0.0863 data_time: 0.0586 memory: 817 2022/07/30 09:26:51 - mmengine - INFO - Epoch(val) [30][1560/2475] eta: 0:00:58 time: 0.0639 data_time: 0.0365 memory: 817 2022/07/30 09:26:53 - mmengine - INFO - Epoch(val) [30][1580/2475] eta: 0:01:25 time: 0.0954 data_time: 0.0682 memory: 817 2022/07/30 09:26:54 - mmengine - INFO - Epoch(val) [30][1600/2475] eta: 0:01:04 time: 0.0733 data_time: 0.0453 memory: 817 2022/07/30 09:26:56 - mmengine - INFO - Epoch(val) [30][1620/2475] eta: 0:01:16 time: 0.0893 data_time: 0.0628 memory: 817 2022/07/30 09:26:57 - mmengine - INFO - Epoch(val) [30][1640/2475] eta: 0:00:53 time: 0.0641 data_time: 0.0351 memory: 817 2022/07/30 09:26:59 - mmengine - INFO - Epoch(val) [30][1660/2475] eta: 0:01:25 time: 0.1043 data_time: 0.0780 memory: 817 2022/07/30 09:27:01 - mmengine - INFO - Epoch(val) [30][1680/2475] eta: 0:01:06 time: 0.0838 data_time: 0.0537 memory: 817 2022/07/30 09:27:03 - mmengine - INFO - Epoch(val) [30][1700/2475] eta: 0:01:12 time: 0.0929 data_time: 0.0643 memory: 817 2022/07/30 09:27:04 - mmengine - INFO - Epoch(val) [30][1720/2475] eta: 0:00:48 time: 0.0644 data_time: 0.0355 memory: 817 2022/07/30 09:27:06 - mmengine - INFO - Epoch(val) [30][1740/2475] eta: 0:00:59 time: 0.0814 data_time: 0.0523 memory: 817 2022/07/30 09:27:07 - mmengine - INFO - Epoch(val) [30][1760/2475] eta: 0:00:51 time: 0.0718 data_time: 0.0440 memory: 817 2022/07/30 09:27:09 - mmengine - INFO - Epoch(val) [30][1780/2475] eta: 0:01:02 time: 0.0899 data_time: 0.0640 memory: 817 2022/07/30 09:27:11 - mmengine - INFO - Epoch(val) [30][1800/2475] eta: 0:00:48 time: 0.0724 data_time: 0.0446 memory: 817 2022/07/30 09:27:12 - mmengine - INFO - Epoch(val) [30][1820/2475] eta: 0:00:55 time: 0.0854 data_time: 0.0583 memory: 817 2022/07/30 09:27:14 - mmengine - INFO - Epoch(val) [30][1840/2475] eta: 0:00:46 time: 0.0732 data_time: 0.0455 memory: 817 2022/07/30 09:27:15 - mmengine - INFO - Epoch(val) [30][1860/2475] eta: 0:00:47 time: 0.0777 data_time: 0.0489 memory: 817 2022/07/30 09:27:17 - mmengine - INFO - Epoch(val) [30][1880/2475] eta: 0:00:52 time: 0.0883 data_time: 0.0606 memory: 817 2022/07/30 09:27:19 - mmengine - INFO - Epoch(val) [30][1900/2475] eta: 0:00:52 time: 0.0919 data_time: 0.0643 memory: 817 2022/07/30 09:27:20 - mmengine - INFO - Epoch(val) [30][1920/2475] eta: 0:00:37 time: 0.0675 data_time: 0.0392 memory: 817 2022/07/30 09:27:22 - mmengine - INFO - Epoch(val) [30][1940/2475] eta: 0:00:49 time: 0.0924 data_time: 0.0657 memory: 817 2022/07/30 09:27:23 - mmengine - INFO - Epoch(val) [30][1960/2475] eta: 0:00:34 time: 0.0672 data_time: 0.0413 memory: 817 2022/07/30 09:27:25 - mmengine - INFO - Epoch(val) [30][1980/2475] eta: 0:00:43 time: 0.0874 data_time: 0.0586 memory: 817 2022/07/30 09:27:27 - mmengine - INFO - Epoch(val) [30][2000/2475] eta: 0:00:36 time: 0.0772 data_time: 0.0484 memory: 817 2022/07/30 09:27:28 - mmengine - INFO - Epoch(val) [30][2020/2475] eta: 0:00:36 time: 0.0795 data_time: 0.0491 memory: 817 2022/07/30 09:27:30 - mmengine - INFO - Epoch(val) [30][2040/2475] eta: 0:00:35 time: 0.0805 data_time: 0.0535 memory: 817 2022/07/30 09:27:32 - mmengine - INFO - Epoch(val) [30][2060/2475] eta: 0:00:36 time: 0.0887 data_time: 0.0603 memory: 817 2022/07/30 09:27:33 - mmengine - INFO - Epoch(val) [30][2080/2475] eta: 0:00:27 time: 0.0688 data_time: 0.0406 memory: 817 2022/07/30 09:27:35 - mmengine - INFO - Epoch(val) [30][2100/2475] eta: 0:00:32 time: 0.0874 data_time: 0.0598 memory: 817 2022/07/30 09:27:36 - mmengine - INFO - Epoch(val) [30][2120/2475] eta: 0:00:26 time: 0.0751 data_time: 0.0475 memory: 817 2022/07/30 09:27:38 - mmengine - INFO - Epoch(val) [30][2140/2475] eta: 0:00:26 time: 0.0804 data_time: 0.0516 memory: 817 2022/07/30 09:27:40 - mmengine - INFO - Epoch(val) [30][2160/2475] eta: 0:00:23 time: 0.0759 data_time: 0.0484 memory: 817 2022/07/30 09:27:41 - mmengine - INFO - Epoch(val) [30][2180/2475] eta: 0:00:25 time: 0.0880 data_time: 0.0604 memory: 817 2022/07/30 09:27:43 - mmengine - INFO - Epoch(val) [30][2200/2475] eta: 0:00:22 time: 0.0820 data_time: 0.0548 memory: 817 2022/07/30 09:27:44 - mmengine - INFO - Epoch(val) [30][2220/2475] eta: 0:00:19 time: 0.0746 data_time: 0.0486 memory: 817 2022/07/30 09:27:46 - mmengine - INFO - Epoch(val) [30][2240/2475] eta: 0:00:18 time: 0.0779 data_time: 0.0489 memory: 817 2022/07/30 09:27:48 - mmengine - INFO - Epoch(val) [30][2260/2475] eta: 0:00:18 time: 0.0871 data_time: 0.0590 memory: 817 2022/07/30 09:27:49 - mmengine - INFO - Epoch(val) [30][2280/2475] eta: 0:00:14 time: 0.0724 data_time: 0.0461 memory: 817 2022/07/30 09:27:51 - mmengine - INFO - Epoch(val) [30][2300/2475] eta: 0:00:15 time: 0.0870 data_time: 0.0598 memory: 817 2022/07/30 09:27:53 - mmengine - INFO - Epoch(val) [30][2320/2475] eta: 0:00:12 time: 0.0831 data_time: 0.0556 memory: 817 2022/07/30 09:27:54 - mmengine - INFO - Epoch(val) [30][2340/2475] eta: 0:00:09 time: 0.0686 data_time: 0.0413 memory: 817 2022/07/30 09:27:56 - mmengine - INFO - Epoch(val) [30][2360/2475] eta: 0:00:10 time: 0.0929 data_time: 0.0651 memory: 817 2022/07/30 09:27:57 - mmengine - INFO - Epoch(val) [30][2380/2475] eta: 0:00:07 time: 0.0776 data_time: 0.0299 memory: 817 2022/07/30 09:27:59 - mmengine - INFO - Epoch(val) [30][2400/2475] eta: 0:00:06 time: 0.0804 data_time: 0.0533 memory: 817 2022/07/30 09:28:00 - mmengine - INFO - Epoch(val) [30][2420/2475] eta: 0:00:01 time: 0.0327 data_time: 0.0050 memory: 817 2022/07/30 09:28:00 - mmengine - INFO - Epoch(val) [30][2440/2475] eta: 0:00:01 time: 0.0367 data_time: 0.0117 memory: 817 2022/07/30 09:28:01 - mmengine - INFO - Epoch(val) [30][2460/2475] eta: 0:00:00 time: 0.0323 data_time: 0.0073 memory: 817 2022/07/30 09:28:03 - mmengine - INFO - Epoch(val) [30][2475/2475] acc/top1: 0.7100 acc/top5: 0.8972 acc/mean1: 0.7099 2022/07/30 09:28:29 - mmengine - INFO - Epoch(train) [31][20/2505] lr: 5.0000e-04 eta: 19:22:52 time: 1.3112 data_time: 0.7250 memory: 32703 grad_norm: 18.7018 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4195 loss: 1.4195 2022/07/30 09:28:47 - mmengine - INFO - Epoch(train) [31][40/2505] lr: 5.0000e-04 eta: 19:22:30 time: 0.8988 data_time: 0.3123 memory: 32703 grad_norm: 18.8176 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1612 loss: 1.1612 2022/07/30 09:29:09 - mmengine - INFO - Epoch(train) [31][60/2505] lr: 5.0000e-04 eta: 19:22:12 time: 1.0868 data_time: 0.4488 memory: 32703 grad_norm: 18.8799 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3753 loss: 1.3753 2022/07/30 09:29:27 - mmengine - INFO - Epoch(train) [31][80/2505] lr: 5.0000e-04 eta: 19:21:50 time: 0.9042 data_time: 0.2001 memory: 32703 grad_norm: 18.8433 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4055 loss: 1.4055 2022/07/30 09:29:49 - mmengine - INFO - Epoch(train) [31][100/2505] lr: 5.0000e-04 eta: 19:21:32 time: 1.0986 data_time: 0.2459 memory: 32703 grad_norm: 19.7028 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1459 loss: 1.1459 2022/07/30 09:30:07 - mmengine - INFO - Epoch(train) [31][120/2505] lr: 5.0000e-04 eta: 19:21:11 time: 0.9060 data_time: 0.1331 memory: 32703 grad_norm: 19.8489 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3185 loss: 1.3185 2022/07/30 09:30:29 - mmengine - INFO - Epoch(train) [31][140/2505] lr: 5.0000e-04 eta: 19:20:53 time: 1.1153 data_time: 0.2997 memory: 32703 grad_norm: 19.3479 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0751 loss: 1.0751 2022/07/30 09:30:46 - mmengine - INFO - Epoch(train) [31][160/2505] lr: 5.0000e-04 eta: 19:20:30 time: 0.8501 data_time: 0.1970 memory: 32703 grad_norm: 19.8920 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4545 loss: 1.4545 2022/07/30 09:31:08 - mmengine - INFO - Epoch(train) [31][180/2505] lr: 5.0000e-04 eta: 19:20:12 time: 1.0995 data_time: 0.4597 memory: 32703 grad_norm: 19.4358 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3067 loss: 1.3067 2022/07/30 09:31:26 - mmengine - INFO - Epoch(train) [31][200/2505] lr: 5.0000e-04 eta: 19:19:51 time: 0.9007 data_time: 0.2957 memory: 32703 grad_norm: 19.5198 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3964 loss: 1.3964 2022/07/30 09:31:48 - mmengine - INFO - Epoch(train) [31][220/2505] lr: 5.0000e-04 eta: 19:19:33 time: 1.0985 data_time: 0.4451 memory: 32703 grad_norm: 19.2700 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2695 loss: 1.2695 2022/07/30 09:32:06 - mmengine - INFO - Epoch(train) [31][240/2505] lr: 5.0000e-04 eta: 19:19:11 time: 0.8926 data_time: 0.1607 memory: 32703 grad_norm: 20.2470 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3419 loss: 1.3419 2022/07/30 09:32:28 - mmengine - INFO - Epoch(train) [31][260/2505] lr: 5.0000e-04 eta: 19:18:53 time: 1.0819 data_time: 0.1515 memory: 32703 grad_norm: 18.9239 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.5100 loss: 1.5100 2022/07/30 09:32:47 - mmengine - INFO - Epoch(train) [31][280/2505] lr: 5.0000e-04 eta: 19:18:32 time: 0.9283 data_time: 0.0387 memory: 32703 grad_norm: 18.8509 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2103 loss: 1.2103 2022/07/30 09:33:09 - mmengine - INFO - Epoch(train) [31][300/2505] lr: 5.0000e-04 eta: 19:18:14 time: 1.1348 data_time: 0.0328 memory: 32703 grad_norm: 19.7874 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5860 loss: 1.5860 2022/07/30 09:33:27 - mmengine - INFO - Epoch(train) [31][320/2505] lr: 5.0000e-04 eta: 19:17:52 time: 0.8772 data_time: 0.0389 memory: 32703 grad_norm: 19.7672 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0978 loss: 1.0978 2022/07/30 09:33:51 - mmengine - INFO - Epoch(train) [31][340/2505] lr: 5.0000e-04 eta: 19:17:36 time: 1.1941 data_time: 0.0342 memory: 32703 grad_norm: 20.0193 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3792 loss: 1.3792 2022/07/30 09:34:08 - mmengine - INFO - Epoch(train) [31][360/2505] lr: 5.0000e-04 eta: 19:17:13 time: 0.8507 data_time: 0.0246 memory: 32703 grad_norm: 19.9043 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3850 loss: 1.3850 2022/07/30 09:34:29 - mmengine - INFO - Epoch(train) [31][380/2505] lr: 5.0000e-04 eta: 19:16:55 time: 1.0869 data_time: 0.0289 memory: 32703 grad_norm: 18.9766 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2334 loss: 1.2334 2022/07/30 09:34:47 - mmengine - INFO - Epoch(train) [31][400/2505] lr: 5.0000e-04 eta: 19:16:33 time: 0.8650 data_time: 0.0267 memory: 32703 grad_norm: 18.0436 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2144 loss: 1.2144 2022/07/30 09:35:07 - mmengine - INFO - Epoch(train) [31][420/2505] lr: 5.0000e-04 eta: 19:16:13 time: 1.0199 data_time: 0.0318 memory: 32703 grad_norm: 19.6667 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2622 loss: 1.2622 2022/07/30 09:35:26 - mmengine - INFO - Epoch(train) [31][440/2505] lr: 5.0000e-04 eta: 19:15:53 time: 0.9410 data_time: 0.0334 memory: 32703 grad_norm: 18.5154 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2701 loss: 1.2701 2022/07/30 09:35:48 - mmengine - INFO - Epoch(train) [31][460/2505] lr: 5.0000e-04 eta: 19:15:34 time: 1.0839 data_time: 0.0343 memory: 32703 grad_norm: 18.2513 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3459 loss: 1.3459 2022/07/30 09:36:05 - mmengine - INFO - Epoch(train) [31][480/2505] lr: 5.0000e-04 eta: 19:15:12 time: 0.8725 data_time: 0.0297 memory: 32703 grad_norm: 18.5665 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1439 loss: 1.1439 2022/07/30 09:36:28 - mmengine - INFO - Epoch(train) [31][500/2505] lr: 5.0000e-04 eta: 19:14:54 time: 1.1048 data_time: 0.0260 memory: 32703 grad_norm: 18.8421 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3346 loss: 1.3346 2022/07/30 09:36:45 - mmengine - INFO - Epoch(train) [31][520/2505] lr: 5.0000e-04 eta: 19:14:32 time: 0.8936 data_time: 0.0456 memory: 32703 grad_norm: 19.3045 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2369 loss: 1.2369 2022/07/30 09:37:06 - mmengine - INFO - Epoch(train) [31][540/2505] lr: 5.0000e-04 eta: 19:14:13 time: 1.0420 data_time: 0.0272 memory: 32703 grad_norm: 18.7702 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3094 loss: 1.3094 2022/07/30 09:37:24 - mmengine - INFO - Epoch(train) [31][560/2505] lr: 5.0000e-04 eta: 19:13:52 time: 0.9005 data_time: 0.0358 memory: 32703 grad_norm: 19.3422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5955 loss: 1.5955 2022/07/30 09:37:45 - mmengine - INFO - Epoch(train) [31][580/2505] lr: 5.0000e-04 eta: 19:13:33 time: 1.0340 data_time: 0.0324 memory: 32703 grad_norm: 18.8544 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4366 loss: 1.4366 2022/07/30 09:38:03 - mmengine - INFO - Epoch(train) [31][600/2505] lr: 5.0000e-04 eta: 19:13:11 time: 0.9265 data_time: 0.0320 memory: 32703 grad_norm: 18.9257 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1697 loss: 1.1697 2022/07/30 09:38:24 - mmengine - INFO - Epoch(train) [31][620/2505] lr: 5.0000e-04 eta: 19:12:53 time: 1.0548 data_time: 0.0307 memory: 32703 grad_norm: 18.8593 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3159 loss: 1.3159 2022/07/30 09:38:42 - mmengine - INFO - Epoch(train) [31][640/2505] lr: 5.0000e-04 eta: 19:12:31 time: 0.8909 data_time: 0.0307 memory: 32703 grad_norm: 19.6458 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3263 loss: 1.3263 2022/07/30 09:39:02 - mmengine - INFO - Epoch(train) [31][660/2505] lr: 5.0000e-04 eta: 19:12:11 time: 0.9877 data_time: 0.0353 memory: 32703 grad_norm: 19.0238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2631 loss: 1.2631 2022/07/30 09:39:21 - mmengine - INFO - Epoch(train) [31][680/2505] lr: 5.0000e-04 eta: 19:11:50 time: 0.9528 data_time: 0.0307 memory: 32703 grad_norm: 19.5881 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.3810 loss: 1.3810 2022/07/30 09:39:43 - mmengine - INFO - Epoch(train) [31][700/2505] lr: 5.0000e-04 eta: 19:11:33 time: 1.1213 data_time: 0.0330 memory: 32703 grad_norm: 18.5565 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3539 loss: 1.3539 2022/07/30 09:40:01 - mmengine - INFO - Epoch(train) [31][720/2505] lr: 5.0000e-04 eta: 19:11:10 time: 0.8640 data_time: 0.0284 memory: 32703 grad_norm: 18.2726 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3637 loss: 1.3637 2022/07/30 09:40:23 - mmengine - INFO - Epoch(train) [31][740/2505] lr: 5.0000e-04 eta: 19:10:52 time: 1.1011 data_time: 0.0311 memory: 32703 grad_norm: 18.6044 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1344 loss: 1.1344 2022/07/30 09:40:40 - mmengine - INFO - Epoch(train) [31][760/2505] lr: 5.0000e-04 eta: 19:10:30 time: 0.8730 data_time: 0.0263 memory: 32703 grad_norm: 19.5284 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3459 loss: 1.3459 2022/07/30 09:41:01 - mmengine - INFO - Epoch(train) [31][780/2505] lr: 5.0000e-04 eta: 19:10:11 time: 1.0382 data_time: 0.0346 memory: 32703 grad_norm: 19.7775 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4249 loss: 1.4249 2022/07/30 09:41:19 - mmengine - INFO - Epoch(train) [31][800/2505] lr: 5.0000e-04 eta: 19:09:49 time: 0.8885 data_time: 0.0271 memory: 32703 grad_norm: 18.9333 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4845 loss: 1.4845 2022/07/30 09:41:41 - mmengine - INFO - Epoch(train) [31][820/2505] lr: 5.0000e-04 eta: 19:09:31 time: 1.1032 data_time: 0.0313 memory: 32703 grad_norm: 19.9813 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2136 loss: 1.2136 2022/07/30 09:41:58 - mmengine - INFO - Epoch(train) [31][840/2505] lr: 5.0000e-04 eta: 19:09:09 time: 0.8644 data_time: 0.0327 memory: 32703 grad_norm: 19.3731 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.4765 loss: 1.4765 2022/07/30 09:42:09 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 09:42:19 - mmengine - INFO - Epoch(train) [31][860/2505] lr: 5.0000e-04 eta: 19:08:50 time: 1.0390 data_time: 0.0300 memory: 32703 grad_norm: 19.5622 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3701 loss: 1.3701 2022/07/30 09:42:37 - mmengine - INFO - Epoch(train) [31][880/2505] lr: 5.0000e-04 eta: 19:08:29 time: 0.9135 data_time: 0.0316 memory: 32703 grad_norm: 18.9617 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.4825 loss: 1.4825 2022/07/30 09:42:58 - mmengine - INFO - Epoch(train) [31][900/2505] lr: 5.0000e-04 eta: 19:08:10 time: 1.0425 data_time: 0.0294 memory: 32703 grad_norm: 18.7112 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1254 loss: 1.1254 2022/07/30 09:43:17 - mmengine - INFO - Epoch(train) [31][920/2505] lr: 5.0000e-04 eta: 19:07:49 time: 0.9444 data_time: 0.0261 memory: 32703 grad_norm: 18.6354 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2282 loss: 1.2282 2022/07/30 09:43:38 - mmengine - INFO - Epoch(train) [31][940/2505] lr: 5.0000e-04 eta: 19:07:30 time: 1.0535 data_time: 0.0473 memory: 32703 grad_norm: 19.3834 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3866 loss: 1.3866 2022/07/30 09:43:56 - mmengine - INFO - Epoch(train) [31][960/2505] lr: 5.0000e-04 eta: 19:07:09 time: 0.9294 data_time: 0.0392 memory: 32703 grad_norm: 19.6113 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2561 loss: 1.2561 2022/07/30 09:44:18 - mmengine - INFO - Epoch(train) [31][980/2505] lr: 5.0000e-04 eta: 19:06:50 time: 1.0649 data_time: 0.0249 memory: 32703 grad_norm: 18.7655 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2973 loss: 1.2973 2022/07/30 09:44:37 - mmengine - INFO - Epoch(train) [31][1000/2505] lr: 5.0000e-04 eta: 19:06:29 time: 0.9483 data_time: 0.0345 memory: 32703 grad_norm: 18.2758 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3753 loss: 1.3753 2022/07/30 09:44:57 - mmengine - INFO - Epoch(train) [31][1020/2505] lr: 5.0000e-04 eta: 19:06:10 time: 1.0177 data_time: 0.0258 memory: 32703 grad_norm: 20.6521 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3257 loss: 1.3257 2022/07/30 09:45:16 - mmengine - INFO - Epoch(train) [31][1040/2505] lr: 5.0000e-04 eta: 19:05:49 time: 0.9641 data_time: 0.0342 memory: 32703 grad_norm: 20.1567 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4072 loss: 1.4072 2022/07/30 09:45:38 - mmengine - INFO - Epoch(train) [31][1060/2505] lr: 5.0000e-04 eta: 19:05:31 time: 1.0543 data_time: 0.0286 memory: 32703 grad_norm: 19.5516 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2877 loss: 1.2877 2022/07/30 09:45:56 - mmengine - INFO - Epoch(train) [31][1080/2505] lr: 5.0000e-04 eta: 19:05:09 time: 0.9044 data_time: 0.0315 memory: 32703 grad_norm: 18.6113 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.2974 loss: 1.2974 2022/07/30 09:46:17 - mmengine - INFO - Epoch(train) [31][1100/2505] lr: 5.0000e-04 eta: 19:04:50 time: 1.0458 data_time: 0.0314 memory: 32703 grad_norm: 19.4975 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3576 loss: 1.3576 2022/07/30 09:46:35 - mmengine - INFO - Epoch(train) [31][1120/2505] lr: 5.0000e-04 eta: 19:04:29 time: 0.9099 data_time: 0.0351 memory: 32703 grad_norm: 19.0401 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2309 loss: 1.2309 2022/07/30 09:46:56 - mmengine - INFO - Epoch(train) [31][1140/2505] lr: 5.0000e-04 eta: 19:04:10 time: 1.0832 data_time: 0.0299 memory: 32703 grad_norm: 18.6783 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2541 loss: 1.2541 2022/07/30 09:47:14 - mmengine - INFO - Epoch(train) [31][1160/2505] lr: 5.0000e-04 eta: 19:03:48 time: 0.8731 data_time: 0.0280 memory: 32703 grad_norm: 19.3251 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1183 loss: 1.1183 2022/07/30 09:47:35 - mmengine - INFO - Epoch(train) [31][1180/2505] lr: 5.0000e-04 eta: 19:03:29 time: 1.0318 data_time: 0.0322 memory: 32703 grad_norm: 18.6644 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3045 loss: 1.3045 2022/07/30 09:47:53 - mmengine - INFO - Epoch(train) [31][1200/2505] lr: 5.0000e-04 eta: 19:03:08 time: 0.9427 data_time: 0.0260 memory: 32703 grad_norm: 20.1423 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.5370 loss: 1.5370 2022/07/30 09:48:14 - mmengine - INFO - Epoch(train) [31][1220/2505] lr: 5.0000e-04 eta: 19:02:49 time: 1.0269 data_time: 0.0328 memory: 32703 grad_norm: 18.8213 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3908 loss: 1.3908 2022/07/30 09:48:34 - mmengine - INFO - Epoch(train) [31][1240/2505] lr: 5.0000e-04 eta: 19:02:29 time: 0.9820 data_time: 0.0324 memory: 32703 grad_norm: 18.1640 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3962 loss: 1.3962 2022/07/30 09:48:53 - mmengine - INFO - Epoch(train) [31][1260/2505] lr: 5.0000e-04 eta: 19:02:08 time: 0.9721 data_time: 0.0335 memory: 32703 grad_norm: 19.1982 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4917 loss: 1.4917 2022/07/30 09:49:12 - mmengine - INFO - Epoch(train) [31][1280/2505] lr: 5.0000e-04 eta: 19:01:47 time: 0.9255 data_time: 0.0271 memory: 32703 grad_norm: 18.3726 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2865 loss: 1.2865 2022/07/30 09:49:32 - mmengine - INFO - Epoch(train) [31][1300/2505] lr: 5.0000e-04 eta: 19:01:28 time: 1.0234 data_time: 0.0335 memory: 32703 grad_norm: 20.0992 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3776 loss: 1.3776 2022/07/30 09:49:52 - mmengine - INFO - Epoch(train) [31][1320/2505] lr: 5.0000e-04 eta: 19:01:08 time: 0.9886 data_time: 0.0293 memory: 32703 grad_norm: 18.1680 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2297 loss: 1.2297 2022/07/30 09:50:12 - mmengine - INFO - Epoch(train) [31][1340/2505] lr: 5.0000e-04 eta: 19:00:48 time: 1.0214 data_time: 0.0271 memory: 32703 grad_norm: 19.1921 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0508 loss: 1.0508 2022/07/30 09:50:31 - mmengine - INFO - Epoch(train) [31][1360/2505] lr: 5.0000e-04 eta: 19:00:28 time: 0.9573 data_time: 0.0304 memory: 32703 grad_norm: 18.6198 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4339 loss: 1.4339 2022/07/30 09:50:52 - mmengine - INFO - Epoch(train) [31][1380/2505] lr: 5.0000e-04 eta: 19:00:09 time: 1.0433 data_time: 0.0294 memory: 32703 grad_norm: 18.8435 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2072 loss: 1.2072 2022/07/30 09:51:10 - mmengine - INFO - Epoch(train) [31][1400/2505] lr: 5.0000e-04 eta: 18:59:47 time: 0.8772 data_time: 0.0291 memory: 32703 grad_norm: 19.6189 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3412 loss: 1.3412 2022/07/30 09:51:31 - mmengine - INFO - Epoch(train) [31][1420/2505] lr: 5.0000e-04 eta: 18:59:28 time: 1.0769 data_time: 0.0281 memory: 32703 grad_norm: 18.9625 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2154 loss: 1.2154 2022/07/30 09:51:50 - mmengine - INFO - Epoch(train) [31][1440/2505] lr: 5.0000e-04 eta: 18:59:08 time: 0.9520 data_time: 0.0274 memory: 32703 grad_norm: 20.1368 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5474 loss: 1.5474 2022/07/30 09:52:11 - mmengine - INFO - Epoch(train) [31][1460/2505] lr: 5.0000e-04 eta: 18:58:49 time: 1.0341 data_time: 0.0280 memory: 32703 grad_norm: 19.1982 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1900 loss: 1.1900 2022/07/30 09:52:29 - mmengine - INFO - Epoch(train) [31][1480/2505] lr: 5.0000e-04 eta: 18:58:27 time: 0.9124 data_time: 0.0287 memory: 32703 grad_norm: 18.8224 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3621 loss: 1.3621 2022/07/30 09:52:50 - mmengine - INFO - Epoch(train) [31][1500/2505] lr: 5.0000e-04 eta: 18:58:08 time: 1.0559 data_time: 0.0305 memory: 32703 grad_norm: 20.0744 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2527 loss: 1.2527 2022/07/30 09:53:08 - mmengine - INFO - Epoch(train) [31][1520/2505] lr: 5.0000e-04 eta: 18:57:47 time: 0.9021 data_time: 0.0256 memory: 32703 grad_norm: 18.5876 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4557 loss: 1.4557 2022/07/30 09:53:29 - mmengine - INFO - Epoch(train) [31][1540/2505] lr: 5.0000e-04 eta: 18:57:28 time: 1.0468 data_time: 0.0327 memory: 32703 grad_norm: 19.1634 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4321 loss: 1.4321 2022/07/30 09:53:48 - mmengine - INFO - Epoch(train) [31][1560/2505] lr: 5.0000e-04 eta: 18:57:07 time: 0.9229 data_time: 0.0272 memory: 32703 grad_norm: 19.4425 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2750 loss: 1.2750 2022/07/30 09:54:09 - mmengine - INFO - Epoch(train) [31][1580/2505] lr: 5.0000e-04 eta: 18:56:48 time: 1.0406 data_time: 0.0252 memory: 32703 grad_norm: 20.3300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4606 loss: 1.4606 2022/07/30 09:54:27 - mmengine - INFO - Epoch(train) [31][1600/2505] lr: 5.0000e-04 eta: 18:56:26 time: 0.9111 data_time: 0.0354 memory: 32703 grad_norm: 19.3003 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2522 loss: 1.2522 2022/07/30 09:54:48 - mmengine - INFO - Epoch(train) [31][1620/2505] lr: 5.0000e-04 eta: 18:56:07 time: 1.0267 data_time: 0.0296 memory: 32703 grad_norm: 19.2807 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2191 loss: 1.2191 2022/07/30 09:55:06 - mmengine - INFO - Epoch(train) [31][1640/2505] lr: 5.0000e-04 eta: 18:55:46 time: 0.9446 data_time: 0.0342 memory: 32703 grad_norm: 19.2845 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2866 loss: 1.2866 2022/07/30 09:55:27 - mmengine - INFO - Epoch(train) [31][1660/2505] lr: 5.0000e-04 eta: 18:55:27 time: 1.0318 data_time: 0.0265 memory: 32703 grad_norm: 18.8903 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3878 loss: 1.3878 2022/07/30 09:55:46 - mmengine - INFO - Epoch(train) [31][1680/2505] lr: 5.0000e-04 eta: 18:55:06 time: 0.9258 data_time: 0.0327 memory: 32703 grad_norm: 19.0196 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3908 loss: 1.3908 2022/07/30 09:56:06 - mmengine - INFO - Epoch(train) [31][1700/2505] lr: 5.0000e-04 eta: 18:54:46 time: 0.9982 data_time: 0.0301 memory: 32703 grad_norm: 18.6352 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1081 loss: 1.1081 2022/07/30 09:56:24 - mmengine - INFO - Epoch(train) [31][1720/2505] lr: 5.0000e-04 eta: 18:54:25 time: 0.9396 data_time: 0.0317 memory: 32703 grad_norm: 19.9242 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3957 loss: 1.3957 2022/07/30 09:56:46 - mmengine - INFO - Epoch(train) [31][1740/2505] lr: 5.0000e-04 eta: 18:54:06 time: 1.0591 data_time: 0.0322 memory: 32703 grad_norm: 18.7851 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.6744 loss: 1.6744 2022/07/30 09:57:04 - mmengine - INFO - Epoch(train) [31][1760/2505] lr: 5.0000e-04 eta: 18:53:45 time: 0.9224 data_time: 0.0316 memory: 32703 grad_norm: 21.1275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3544 loss: 1.3544 2022/07/30 09:57:24 - mmengine - INFO - Epoch(train) [31][1780/2505] lr: 5.0000e-04 eta: 18:53:26 time: 1.0222 data_time: 0.0317 memory: 32703 grad_norm: 18.9599 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.5006 loss: 1.5006 2022/07/30 09:57:43 - mmengine - INFO - Epoch(train) [31][1800/2505] lr: 5.0000e-04 eta: 18:53:04 time: 0.9216 data_time: 0.0370 memory: 32703 grad_norm: 19.0699 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2728 loss: 1.2728 2022/07/30 09:58:04 - mmengine - INFO - Epoch(train) [31][1820/2505] lr: 5.0000e-04 eta: 18:52:45 time: 1.0385 data_time: 0.0291 memory: 32703 grad_norm: 19.9396 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4889 loss: 1.4889 2022/07/30 09:58:22 - mmengine - INFO - Epoch(train) [31][1840/2505] lr: 5.0000e-04 eta: 18:52:24 time: 0.8994 data_time: 0.0308 memory: 32703 grad_norm: 20.0684 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3506 loss: 1.3506 2022/07/30 09:58:34 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 09:58:42 - mmengine - INFO - Epoch(train) [31][1860/2505] lr: 5.0000e-04 eta: 18:52:04 time: 1.0164 data_time: 0.0299 memory: 32703 grad_norm: 18.7447 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1235 loss: 1.1235 2022/07/30 09:59:01 - mmengine - INFO - Epoch(train) [31][1880/2505] lr: 5.0000e-04 eta: 18:51:43 time: 0.9465 data_time: 0.0318 memory: 32703 grad_norm: 18.6426 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1064 loss: 1.1064 2022/07/30 09:59:23 - mmengine - INFO - Epoch(train) [31][1900/2505] lr: 5.0000e-04 eta: 18:51:25 time: 1.0936 data_time: 0.0259 memory: 32703 grad_norm: 19.5404 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.2027 loss: 1.2027 2022/07/30 09:59:41 - mmengine - INFO - Epoch(train) [31][1920/2505] lr: 5.0000e-04 eta: 18:51:04 time: 0.8888 data_time: 0.0300 memory: 32703 grad_norm: 18.6573 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4049 loss: 1.4049 2022/07/30 10:00:02 - mmengine - INFO - Epoch(train) [31][1940/2505] lr: 5.0000e-04 eta: 18:50:45 time: 1.0536 data_time: 0.0258 memory: 32703 grad_norm: 18.4937 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.3263 loss: 1.3263 2022/07/30 10:00:21 - mmengine - INFO - Epoch(train) [31][1960/2505] lr: 5.0000e-04 eta: 18:50:24 time: 0.9650 data_time: 0.0319 memory: 32703 grad_norm: 18.9776 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4058 loss: 1.4058 2022/07/30 10:00:42 - mmengine - INFO - Epoch(train) [31][1980/2505] lr: 5.0000e-04 eta: 18:50:05 time: 1.0531 data_time: 0.0264 memory: 32703 grad_norm: 19.0126 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3020 loss: 1.3020 2022/07/30 10:01:00 - mmengine - INFO - Epoch(train) [31][2000/2505] lr: 5.0000e-04 eta: 18:49:44 time: 0.9161 data_time: 0.0352 memory: 32703 grad_norm: 19.0887 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4909 loss: 1.4909 2022/07/30 10:01:22 - mmengine - INFO - Epoch(train) [31][2020/2505] lr: 5.0000e-04 eta: 18:49:25 time: 1.0592 data_time: 0.0288 memory: 32703 grad_norm: 18.5118 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.5500 loss: 1.5500 2022/07/30 10:01:39 - mmengine - INFO - Epoch(train) [31][2040/2505] lr: 5.0000e-04 eta: 18:49:04 time: 0.8839 data_time: 0.0357 memory: 32703 grad_norm: 19.5200 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3038 loss: 1.3038 2022/07/30 10:02:01 - mmengine - INFO - Epoch(train) [31][2060/2505] lr: 5.0000e-04 eta: 18:48:45 time: 1.0790 data_time: 0.0235 memory: 32703 grad_norm: 19.0473 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3031 loss: 1.3031 2022/07/30 10:02:19 - mmengine - INFO - Epoch(train) [31][2080/2505] lr: 5.0000e-04 eta: 18:48:24 time: 0.9028 data_time: 0.0310 memory: 32703 grad_norm: 18.7700 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3037 loss: 1.3037 2022/07/30 10:02:40 - mmengine - INFO - Epoch(train) [31][2100/2505] lr: 5.0000e-04 eta: 18:48:05 time: 1.0507 data_time: 0.0277 memory: 32703 grad_norm: 18.4522 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.4290 loss: 1.4290 2022/07/30 10:02:58 - mmengine - INFO - Epoch(train) [31][2120/2505] lr: 5.0000e-04 eta: 18:47:43 time: 0.9166 data_time: 0.0338 memory: 32703 grad_norm: 19.1648 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3524 loss: 1.3524 2022/07/30 10:03:19 - mmengine - INFO - Epoch(train) [31][2140/2505] lr: 5.0000e-04 eta: 18:47:25 time: 1.0591 data_time: 0.0311 memory: 32703 grad_norm: 19.1732 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3992 loss: 1.3992 2022/07/30 10:03:38 - mmengine - INFO - Epoch(train) [31][2160/2505] lr: 5.0000e-04 eta: 18:47:03 time: 0.9152 data_time: 0.0275 memory: 32703 grad_norm: 18.5839 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2056 loss: 1.2056 2022/07/30 10:03:58 - mmengine - INFO - Epoch(train) [31][2180/2505] lr: 5.0000e-04 eta: 18:46:44 time: 1.0319 data_time: 0.0292 memory: 32703 grad_norm: 18.8588 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2764 loss: 1.2764 2022/07/30 10:04:17 - mmengine - INFO - Epoch(train) [31][2200/2505] lr: 5.0000e-04 eta: 18:46:23 time: 0.9259 data_time: 0.0332 memory: 32703 grad_norm: 20.3465 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5619 loss: 1.5619 2022/07/30 10:04:37 - mmengine - INFO - Epoch(train) [31][2220/2505] lr: 5.0000e-04 eta: 18:46:04 time: 1.0289 data_time: 0.0273 memory: 32703 grad_norm: 18.7847 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6856 loss: 1.6856 2022/07/30 10:04:56 - mmengine - INFO - Epoch(train) [31][2240/2505] lr: 5.0000e-04 eta: 18:45:43 time: 0.9296 data_time: 0.0274 memory: 32703 grad_norm: 19.6347 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0758 loss: 1.0758 2022/07/30 10:05:17 - mmengine - INFO - Epoch(train) [31][2260/2505] lr: 5.0000e-04 eta: 18:45:23 time: 1.0293 data_time: 0.0284 memory: 32703 grad_norm: 19.0783 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.5166 loss: 1.5166 2022/07/30 10:05:35 - mmengine - INFO - Epoch(train) [31][2280/2505] lr: 5.0000e-04 eta: 18:45:02 time: 0.9198 data_time: 0.0309 memory: 32703 grad_norm: 18.3575 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.2446 loss: 1.2446 2022/07/30 10:05:56 - mmengine - INFO - Epoch(train) [31][2300/2505] lr: 5.0000e-04 eta: 18:44:43 time: 1.0315 data_time: 0.0264 memory: 32703 grad_norm: 19.2910 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.5192 loss: 1.5192 2022/07/30 10:06:14 - mmengine - INFO - Epoch(train) [31][2320/2505] lr: 5.0000e-04 eta: 18:44:22 time: 0.9203 data_time: 0.0296 memory: 32703 grad_norm: 18.4742 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4035 loss: 1.4035 2022/07/30 10:06:36 - mmengine - INFO - Epoch(train) [31][2340/2505] lr: 5.0000e-04 eta: 18:44:03 time: 1.0758 data_time: 0.0262 memory: 32703 grad_norm: 18.1135 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3005 loss: 1.3005 2022/07/30 10:06:55 - mmengine - INFO - Epoch(train) [31][2360/2505] lr: 5.0000e-04 eta: 18:43:43 time: 0.9844 data_time: 0.0334 memory: 32703 grad_norm: 19.6492 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2809 loss: 1.2809 2022/07/30 10:07:16 - mmengine - INFO - Epoch(train) [31][2380/2505] lr: 5.0000e-04 eta: 18:43:24 time: 1.0433 data_time: 0.0277 memory: 32703 grad_norm: 18.1643 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1719 loss: 1.1719 2022/07/30 10:07:35 - mmengine - INFO - Epoch(train) [31][2400/2505] lr: 5.0000e-04 eta: 18:43:03 time: 0.9206 data_time: 0.0282 memory: 32703 grad_norm: 19.2436 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4763 loss: 1.4763 2022/07/30 10:07:55 - mmengine - INFO - Epoch(train) [31][2420/2505] lr: 5.0000e-04 eta: 18:42:44 time: 1.0229 data_time: 0.0251 memory: 32703 grad_norm: 18.9946 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.3535 loss: 1.3535 2022/07/30 10:08:13 - mmengine - INFO - Epoch(train) [31][2440/2505] lr: 5.0000e-04 eta: 18:42:22 time: 0.9196 data_time: 0.0285 memory: 32703 grad_norm: 19.6085 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2659 loss: 1.2659 2022/07/30 10:08:35 - mmengine - INFO - Epoch(train) [31][2460/2505] lr: 5.0000e-04 eta: 18:42:04 time: 1.0669 data_time: 0.0278 memory: 32703 grad_norm: 19.6876 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4483 loss: 1.4483 2022/07/30 10:08:53 - mmengine - INFO - Epoch(train) [31][2480/2505] lr: 5.0000e-04 eta: 18:41:42 time: 0.9060 data_time: 0.0289 memory: 32703 grad_norm: 20.0485 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1975 loss: 1.1975 2022/07/30 10:09:12 - mmengine - INFO - Epoch(train) [31][2500/2505] lr: 5.0000e-04 eta: 18:41:21 time: 0.9406 data_time: 0.0269 memory: 32703 grad_norm: 18.6543 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3337 loss: 1.3337 2022/07/30 10:09:15 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 10:09:15 - mmengine - INFO - Epoch(train) [31][2505/2505] lr: 5.0000e-04 eta: 18:41:21 time: 0.8285 data_time: 0.0187 memory: 32703 grad_norm: 20.2511 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2024 loss: 1.2024 2022/07/30 10:09:41 - mmengine - INFO - Epoch(train) [32][20/2505] lr: 5.0000e-04 eta: 18:40:58 time: 1.3421 data_time: 0.7022 memory: 32703 grad_norm: 18.5491 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1346 loss: 1.1346 2022/07/30 10:10:00 - mmengine - INFO - Epoch(train) [32][40/2505] lr: 5.0000e-04 eta: 18:40:37 time: 0.9044 data_time: 0.1734 memory: 32703 grad_norm: 19.8531 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.2823 loss: 1.2823 2022/07/30 10:10:22 - mmengine - INFO - Epoch(train) [32][60/2505] lr: 5.0000e-04 eta: 18:40:19 time: 1.1064 data_time: 0.3910 memory: 32703 grad_norm: 19.2682 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2851 loss: 1.2851 2022/07/30 10:10:40 - mmengine - INFO - Epoch(train) [32][80/2505] lr: 5.0000e-04 eta: 18:39:57 time: 0.8965 data_time: 0.2329 memory: 32703 grad_norm: 18.1163 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2223 loss: 1.2223 2022/07/30 10:11:01 - mmengine - INFO - Epoch(train) [32][100/2505] lr: 5.0000e-04 eta: 18:39:39 time: 1.0800 data_time: 0.3315 memory: 32703 grad_norm: 18.5260 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2434 loss: 1.2434 2022/07/30 10:11:19 - mmengine - INFO - Epoch(train) [32][120/2505] lr: 5.0000e-04 eta: 18:39:17 time: 0.9062 data_time: 0.1393 memory: 32703 grad_norm: 20.1559 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.3811 loss: 1.3811 2022/07/30 10:11:41 - mmengine - INFO - Epoch(train) [32][140/2505] lr: 5.0000e-04 eta: 18:38:59 time: 1.0783 data_time: 0.1257 memory: 32703 grad_norm: 18.8157 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1503 loss: 1.1503 2022/07/30 10:11:59 - mmengine - INFO - Epoch(train) [32][160/2505] lr: 5.0000e-04 eta: 18:38:38 time: 0.9053 data_time: 0.0591 memory: 32703 grad_norm: 18.7976 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1033 loss: 1.1033 2022/07/30 10:12:20 - mmengine - INFO - Epoch(train) [32][180/2505] lr: 5.0000e-04 eta: 18:38:19 time: 1.0569 data_time: 0.0370 memory: 32703 grad_norm: 19.9559 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1779 loss: 1.1779 2022/07/30 10:12:39 - mmengine - INFO - Epoch(train) [32][200/2505] lr: 5.0000e-04 eta: 18:37:58 time: 0.9241 data_time: 0.0260 memory: 32703 grad_norm: 19.4066 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3421 loss: 1.3421 2022/07/30 10:13:00 - mmengine - INFO - Epoch(train) [32][220/2505] lr: 5.0000e-04 eta: 18:37:39 time: 1.0808 data_time: 0.0273 memory: 32703 grad_norm: 19.2988 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1475 loss: 1.1475 2022/07/30 10:13:18 - mmengine - INFO - Epoch(train) [32][240/2505] lr: 5.0000e-04 eta: 18:37:18 time: 0.8983 data_time: 0.0285 memory: 32703 grad_norm: 19.8081 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2519 loss: 1.2519 2022/07/30 10:13:40 - mmengine - INFO - Epoch(train) [32][260/2505] lr: 5.0000e-04 eta: 18:36:59 time: 1.0936 data_time: 0.0275 memory: 32703 grad_norm: 20.0394 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1994 loss: 1.1994 2022/07/30 10:13:59 - mmengine - INFO - Epoch(train) [32][280/2505] lr: 5.0000e-04 eta: 18:36:38 time: 0.9205 data_time: 0.0299 memory: 32703 grad_norm: 19.8074 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1781 loss: 1.1781 2022/07/30 10:14:20 - mmengine - INFO - Epoch(train) [32][300/2505] lr: 5.0000e-04 eta: 18:36:19 time: 1.0559 data_time: 0.0303 memory: 32703 grad_norm: 19.0186 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1345 loss: 1.1345 2022/07/30 10:14:37 - mmengine - INFO - Epoch(train) [32][320/2505] lr: 5.0000e-04 eta: 18:35:57 time: 0.8665 data_time: 0.0269 memory: 32703 grad_norm: 18.6704 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3806 loss: 1.3806 2022/07/30 10:14:58 - mmengine - INFO - Epoch(train) [32][340/2505] lr: 5.0000e-04 eta: 18:35:39 time: 1.0639 data_time: 0.0424 memory: 32703 grad_norm: 19.4166 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.2930 loss: 1.2930 2022/07/30 10:15:04 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 10:15:17 - mmengine - INFO - Epoch(train) [32][360/2505] lr: 5.0000e-04 eta: 18:35:18 time: 0.9271 data_time: 0.0270 memory: 32703 grad_norm: 19.4836 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4778 loss: 1.4778 2022/07/30 10:15:37 - mmengine - INFO - Epoch(train) [32][380/2505] lr: 5.0000e-04 eta: 18:34:58 time: 1.0201 data_time: 0.0275 memory: 32703 grad_norm: 18.8876 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3501 loss: 1.3501 2022/07/30 10:15:57 - mmengine - INFO - Epoch(train) [32][400/2505] lr: 5.0000e-04 eta: 18:34:38 time: 0.9856 data_time: 0.0290 memory: 32703 grad_norm: 18.9109 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3538 loss: 1.3538 2022/07/30 10:16:17 - mmengine - INFO - Epoch(train) [32][420/2505] lr: 5.0000e-04 eta: 18:34:18 time: 0.9852 data_time: 0.0293 memory: 32703 grad_norm: 19.4947 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.3835 loss: 1.3835 2022/07/30 10:16:35 - mmengine - INFO - Epoch(train) [32][440/2505] lr: 5.0000e-04 eta: 18:33:57 time: 0.9065 data_time: 0.0299 memory: 32703 grad_norm: 18.6552 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3574 loss: 1.3574 2022/07/30 10:16:56 - mmengine - INFO - Epoch(train) [32][460/2505] lr: 5.0000e-04 eta: 18:33:38 time: 1.0613 data_time: 0.0267 memory: 32703 grad_norm: 19.8545 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.5197 loss: 1.5197 2022/07/30 10:17:14 - mmengine - INFO - Epoch(train) [32][480/2505] lr: 5.0000e-04 eta: 18:33:17 time: 0.9114 data_time: 0.0305 memory: 32703 grad_norm: 19.0861 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3480 loss: 1.3480 2022/07/30 10:17:36 - mmengine - INFO - Epoch(train) [32][500/2505] lr: 5.0000e-04 eta: 18:32:58 time: 1.0707 data_time: 0.0260 memory: 32703 grad_norm: 19.1425 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3039 loss: 1.3039 2022/07/30 10:17:56 - mmengine - INFO - Epoch(train) [32][520/2505] lr: 5.0000e-04 eta: 18:32:38 time: 1.0094 data_time: 0.0277 memory: 32703 grad_norm: 19.1806 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4438 loss: 1.4438 2022/07/30 10:18:15 - mmengine - INFO - Epoch(train) [32][540/2505] lr: 5.0000e-04 eta: 18:32:18 time: 0.9537 data_time: 0.0299 memory: 32703 grad_norm: 19.1317 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3112 loss: 1.3112 2022/07/30 10:18:34 - mmengine - INFO - Epoch(train) [32][560/2505] lr: 5.0000e-04 eta: 18:31:57 time: 0.9489 data_time: 0.0295 memory: 32703 grad_norm: 18.7947 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2578 loss: 1.2578 2022/07/30 10:18:55 - mmengine - INFO - Epoch(train) [32][580/2505] lr: 5.0000e-04 eta: 18:31:38 time: 1.0293 data_time: 0.0288 memory: 32703 grad_norm: 18.4779 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2128 loss: 1.2128 2022/07/30 10:19:13 - mmengine - INFO - Epoch(train) [32][600/2505] lr: 5.0000e-04 eta: 18:31:16 time: 0.8998 data_time: 0.0276 memory: 32703 grad_norm: 18.9738 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.2853 loss: 1.2853 2022/07/30 10:19:34 - mmengine - INFO - Epoch(train) [32][620/2505] lr: 5.0000e-04 eta: 18:30:58 time: 1.0758 data_time: 0.0310 memory: 32703 grad_norm: 18.3892 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3033 loss: 1.3033 2022/07/30 10:19:53 - mmengine - INFO - Epoch(train) [32][640/2505] lr: 5.0000e-04 eta: 18:30:37 time: 0.9285 data_time: 0.0256 memory: 32703 grad_norm: 18.9730 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3270 loss: 1.3270 2022/07/30 10:20:14 - mmengine - INFO - Epoch(train) [32][660/2505] lr: 5.0000e-04 eta: 18:30:18 time: 1.0531 data_time: 0.0299 memory: 32703 grad_norm: 18.5171 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.4765 loss: 1.4765 2022/07/30 10:20:31 - mmengine - INFO - Epoch(train) [32][680/2505] lr: 5.0000e-04 eta: 18:29:55 time: 0.8435 data_time: 0.0277 memory: 32703 grad_norm: 18.8309 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1581 loss: 1.1581 2022/07/30 10:20:52 - mmengine - INFO - Epoch(train) [32][700/2505] lr: 5.0000e-04 eta: 18:29:36 time: 1.0408 data_time: 0.0297 memory: 32703 grad_norm: 18.4171 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3079 loss: 1.3079 2022/07/30 10:21:10 - mmengine - INFO - Epoch(train) [32][720/2505] lr: 5.0000e-04 eta: 18:29:15 time: 0.9052 data_time: 0.0319 memory: 32703 grad_norm: 19.4591 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4834 loss: 1.4834 2022/07/30 10:21:30 - mmengine - INFO - Epoch(train) [32][740/2505] lr: 5.0000e-04 eta: 18:28:55 time: 1.0244 data_time: 0.0338 memory: 32703 grad_norm: 19.5230 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.5809 loss: 1.5809 2022/07/30 10:21:48 - mmengine - INFO - Epoch(train) [32][760/2505] lr: 5.0000e-04 eta: 18:28:34 time: 0.9054 data_time: 0.0272 memory: 32703 grad_norm: 19.4549 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0679 loss: 1.0679 2022/07/30 10:22:09 - mmengine - INFO - Epoch(train) [32][780/2505] lr: 5.0000e-04 eta: 18:28:15 time: 1.0341 data_time: 0.0336 memory: 32703 grad_norm: 19.2513 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2068 loss: 1.2068 2022/07/30 10:22:27 - mmengine - INFO - Epoch(train) [32][800/2505] lr: 5.0000e-04 eta: 18:27:54 time: 0.9296 data_time: 0.0318 memory: 32703 grad_norm: 17.7559 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.3720 loss: 1.3720 2022/07/30 10:22:48 - mmengine - INFO - Epoch(train) [32][820/2505] lr: 5.0000e-04 eta: 18:27:35 time: 1.0347 data_time: 0.0299 memory: 32703 grad_norm: 20.4542 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4512 loss: 1.4512 2022/07/30 10:23:07 - mmengine - INFO - Epoch(train) [32][840/2505] lr: 5.0000e-04 eta: 18:27:14 time: 0.9338 data_time: 0.0277 memory: 32703 grad_norm: 18.8416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3304 loss: 1.3304 2022/07/30 10:23:28 - mmengine - INFO - Epoch(train) [32][860/2505] lr: 5.0000e-04 eta: 18:26:55 time: 1.0493 data_time: 0.0273 memory: 32703 grad_norm: 19.2011 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4117 loss: 1.4117 2022/07/30 10:23:46 - mmengine - INFO - Epoch(train) [32][880/2505] lr: 5.0000e-04 eta: 18:26:33 time: 0.9110 data_time: 0.0292 memory: 32703 grad_norm: 19.7164 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4167 loss: 1.4167 2022/07/30 10:24:07 - mmengine - INFO - Epoch(train) [32][900/2505] lr: 5.0000e-04 eta: 18:26:15 time: 1.0664 data_time: 0.0314 memory: 32703 grad_norm: 19.2170 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2978 loss: 1.2978 2022/07/30 10:24:27 - mmengine - INFO - Epoch(train) [32][920/2505] lr: 5.0000e-04 eta: 18:25:54 time: 0.9767 data_time: 0.0266 memory: 32703 grad_norm: 18.2126 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1996 loss: 1.1996 2022/07/30 10:24:48 - mmengine - INFO - Epoch(train) [32][940/2505] lr: 5.0000e-04 eta: 18:25:36 time: 1.0517 data_time: 0.0267 memory: 32703 grad_norm: 19.4872 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1857 loss: 1.1857 2022/07/30 10:25:06 - mmengine - INFO - Epoch(train) [32][960/2505] lr: 5.0000e-04 eta: 18:25:14 time: 0.9075 data_time: 0.0274 memory: 32703 grad_norm: 18.9861 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3452 loss: 1.3452 2022/07/30 10:25:27 - mmengine - INFO - Epoch(train) [32][980/2505] lr: 5.0000e-04 eta: 18:24:55 time: 1.0609 data_time: 0.0294 memory: 32703 grad_norm: 18.7582 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2125 loss: 1.2125 2022/07/30 10:25:46 - mmengine - INFO - Epoch(train) [32][1000/2505] lr: 5.0000e-04 eta: 18:24:34 time: 0.9256 data_time: 0.0264 memory: 32703 grad_norm: 18.6724 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.4683 loss: 1.4683 2022/07/30 10:26:07 - mmengine - INFO - Epoch(train) [32][1020/2505] lr: 5.0000e-04 eta: 18:24:15 time: 1.0387 data_time: 0.0290 memory: 32703 grad_norm: 18.9848 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4950 loss: 1.4950 2022/07/30 10:26:25 - mmengine - INFO - Epoch(train) [32][1040/2505] lr: 5.0000e-04 eta: 18:23:54 time: 0.9215 data_time: 0.0289 memory: 32703 grad_norm: 19.0426 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.4257 loss: 1.4257 2022/07/30 10:26:46 - mmengine - INFO - Epoch(train) [32][1060/2505] lr: 5.0000e-04 eta: 18:23:35 time: 1.0461 data_time: 0.0324 memory: 32703 grad_norm: 19.2686 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.2735 loss: 1.2735 2022/07/30 10:27:04 - mmengine - INFO - Epoch(train) [32][1080/2505] lr: 5.0000e-04 eta: 18:23:14 time: 0.9129 data_time: 0.0272 memory: 32703 grad_norm: 19.0500 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.6288 loss: 1.6288 2022/07/30 10:27:26 - mmengine - INFO - Epoch(train) [32][1100/2505] lr: 5.0000e-04 eta: 18:22:55 time: 1.0682 data_time: 0.0323 memory: 32703 grad_norm: 19.8010 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.5715 loss: 1.5715 2022/07/30 10:27:44 - mmengine - INFO - Epoch(train) [32][1120/2505] lr: 5.0000e-04 eta: 18:22:34 time: 0.8989 data_time: 0.0297 memory: 32703 grad_norm: 18.1432 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2849 loss: 1.2849 2022/07/30 10:28:05 - mmengine - INFO - Epoch(train) [32][1140/2505] lr: 5.0000e-04 eta: 18:22:15 time: 1.0588 data_time: 0.0288 memory: 32703 grad_norm: 18.4728 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3944 loss: 1.3944 2022/07/30 10:28:23 - mmengine - INFO - Epoch(train) [32][1160/2505] lr: 5.0000e-04 eta: 18:21:53 time: 0.9036 data_time: 0.0283 memory: 32703 grad_norm: 18.1858 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2321 loss: 1.2321 2022/07/30 10:28:44 - mmengine - INFO - Epoch(train) [32][1180/2505] lr: 5.0000e-04 eta: 18:21:35 time: 1.0602 data_time: 0.0346 memory: 32703 grad_norm: 19.3239 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1076 loss: 1.1076 2022/07/30 10:29:03 - mmengine - INFO - Epoch(train) [32][1200/2505] lr: 5.0000e-04 eta: 18:21:14 time: 0.9349 data_time: 0.0291 memory: 32703 grad_norm: 19.4109 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4078 loss: 1.4078 2022/07/30 10:29:25 - mmengine - INFO - Epoch(train) [32][1220/2505] lr: 5.0000e-04 eta: 18:20:55 time: 1.0898 data_time: 0.0301 memory: 32703 grad_norm: 20.0334 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5880 loss: 1.5880 2022/07/30 10:29:43 - mmengine - INFO - Epoch(train) [32][1240/2505] lr: 5.0000e-04 eta: 18:20:34 time: 0.9051 data_time: 0.0313 memory: 32703 grad_norm: 19.4163 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3431 loss: 1.3431 2022/07/30 10:30:04 - mmengine - INFO - Epoch(train) [32][1260/2505] lr: 5.0000e-04 eta: 18:20:15 time: 1.0715 data_time: 0.0289 memory: 32703 grad_norm: 19.5248 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3322 loss: 1.3322 2022/07/30 10:30:22 - mmengine - INFO - Epoch(train) [32][1280/2505] lr: 5.0000e-04 eta: 18:19:54 time: 0.9038 data_time: 0.0312 memory: 32703 grad_norm: 18.4470 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2278 loss: 1.2278 2022/07/30 10:30:44 - mmengine - INFO - Epoch(train) [32][1300/2505] lr: 5.0000e-04 eta: 18:19:36 time: 1.0878 data_time: 0.0296 memory: 32703 grad_norm: 18.6517 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1003 loss: 1.1003 2022/07/30 10:31:02 - mmengine - INFO - Epoch(train) [32][1320/2505] lr: 5.0000e-04 eta: 18:19:14 time: 0.8889 data_time: 0.0267 memory: 32703 grad_norm: 18.6933 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2864 loss: 1.2864 2022/07/30 10:31:24 - mmengine - INFO - Epoch(train) [32][1340/2505] lr: 5.0000e-04 eta: 18:18:56 time: 1.0978 data_time: 0.0308 memory: 32703 grad_norm: 18.5153 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4547 loss: 1.4547 2022/07/30 10:31:28 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 10:31:42 - mmengine - INFO - Epoch(train) [32][1360/2505] lr: 5.0000e-04 eta: 18:18:35 time: 0.9223 data_time: 0.0276 memory: 32703 grad_norm: 18.8173 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.4211 loss: 1.4211 2022/07/30 10:32:03 - mmengine - INFO - Epoch(train) [32][1380/2505] lr: 5.0000e-04 eta: 18:18:15 time: 1.0209 data_time: 0.0301 memory: 32703 grad_norm: 18.9718 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4255 loss: 1.4255 2022/07/30 10:32:20 - mmengine - INFO - Epoch(train) [32][1400/2505] lr: 5.0000e-04 eta: 18:17:54 time: 0.8920 data_time: 0.0276 memory: 32703 grad_norm: 18.5839 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.4727 loss: 1.4727 2022/07/30 10:32:42 - mmengine - INFO - Epoch(train) [32][1420/2505] lr: 5.0000e-04 eta: 18:17:35 time: 1.0954 data_time: 0.0284 memory: 32703 grad_norm: 18.2400 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.5083 loss: 1.5083 2022/07/30 10:33:01 - mmengine - INFO - Epoch(train) [32][1440/2505] lr: 5.0000e-04 eta: 18:17:15 time: 0.9415 data_time: 0.0265 memory: 32703 grad_norm: 18.8659 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1851 loss: 1.1851 2022/07/30 10:33:22 - mmengine - INFO - Epoch(train) [32][1460/2505] lr: 5.0000e-04 eta: 18:16:55 time: 1.0216 data_time: 0.0324 memory: 32703 grad_norm: 17.9750 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1569 loss: 1.1569 2022/07/30 10:33:40 - mmengine - INFO - Epoch(train) [32][1480/2505] lr: 5.0000e-04 eta: 18:16:35 time: 0.9426 data_time: 0.0254 memory: 32703 grad_norm: 18.9122 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3203 loss: 1.3203 2022/07/30 10:34:02 - mmengine - INFO - Epoch(train) [32][1500/2505] lr: 5.0000e-04 eta: 18:16:16 time: 1.0630 data_time: 0.0307 memory: 32703 grad_norm: 19.6324 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2477 loss: 1.2477 2022/07/30 10:34:20 - mmengine - INFO - Epoch(train) [32][1520/2505] lr: 5.0000e-04 eta: 18:15:54 time: 0.9123 data_time: 0.0286 memory: 32703 grad_norm: 18.6643 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2641 loss: 1.2641 2022/07/30 10:34:40 - mmengine - INFO - Epoch(train) [32][1540/2505] lr: 5.0000e-04 eta: 18:15:35 time: 1.0098 data_time: 0.0286 memory: 32703 grad_norm: 18.8099 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1152 loss: 1.1152 2022/07/30 10:34:58 - mmengine - INFO - Epoch(train) [32][1560/2505] lr: 5.0000e-04 eta: 18:15:14 time: 0.9068 data_time: 0.0245 memory: 32703 grad_norm: 20.3057 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1604 loss: 1.1604 2022/07/30 10:35:20 - mmengine - INFO - Epoch(train) [32][1580/2505] lr: 5.0000e-04 eta: 18:14:55 time: 1.0654 data_time: 0.0291 memory: 32703 grad_norm: 19.2872 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.6762 loss: 1.6762 2022/07/30 10:35:39 - mmengine - INFO - Epoch(train) [32][1600/2505] lr: 5.0000e-04 eta: 18:14:34 time: 0.9530 data_time: 0.0264 memory: 32703 grad_norm: 18.7022 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3798 loss: 1.3798 2022/07/30 10:35:59 - mmengine - INFO - Epoch(train) [32][1620/2505] lr: 5.0000e-04 eta: 18:14:15 time: 1.0392 data_time: 0.0273 memory: 32703 grad_norm: 19.2415 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4071 loss: 1.4071 2022/07/30 10:36:17 - mmengine - INFO - Epoch(train) [32][1640/2505] lr: 5.0000e-04 eta: 18:13:53 time: 0.8751 data_time: 0.0277 memory: 32703 grad_norm: 18.9082 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.4717 loss: 1.4717 2022/07/30 10:36:39 - mmengine - INFO - Epoch(train) [32][1660/2505] lr: 5.0000e-04 eta: 18:13:35 time: 1.0839 data_time: 0.0297 memory: 32703 grad_norm: 19.2606 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3602 loss: 1.3602 2022/07/30 10:36:57 - mmengine - INFO - Epoch(train) [32][1680/2505] lr: 5.0000e-04 eta: 18:13:13 time: 0.9104 data_time: 0.0301 memory: 32703 grad_norm: 19.1971 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1898 loss: 1.1898 2022/07/30 10:37:18 - mmengine - INFO - Epoch(train) [32][1700/2505] lr: 5.0000e-04 eta: 18:12:55 time: 1.0503 data_time: 0.0369 memory: 32703 grad_norm: 19.4730 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2229 loss: 1.2229 2022/07/30 10:37:36 - mmengine - INFO - Epoch(train) [32][1720/2505] lr: 5.0000e-04 eta: 18:12:33 time: 0.9188 data_time: 0.0270 memory: 32703 grad_norm: 18.5491 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2090 loss: 1.2090 2022/07/30 10:37:57 - mmengine - INFO - Epoch(train) [32][1740/2505] lr: 5.0000e-04 eta: 18:12:14 time: 1.0539 data_time: 0.0339 memory: 32703 grad_norm: 19.5683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2053 loss: 1.2053 2022/07/30 10:38:16 - mmengine - INFO - Epoch(train) [32][1760/2505] lr: 5.0000e-04 eta: 18:11:54 time: 0.9332 data_time: 0.0257 memory: 32703 grad_norm: 19.8389 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2053 loss: 1.2053 2022/07/30 10:38:37 - mmengine - INFO - Epoch(train) [32][1780/2505] lr: 5.0000e-04 eta: 18:11:35 time: 1.0551 data_time: 0.0343 memory: 32703 grad_norm: 19.3731 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2985 loss: 1.2985 2022/07/30 10:38:56 - mmengine - INFO - Epoch(train) [32][1800/2505] lr: 5.0000e-04 eta: 18:11:14 time: 0.9543 data_time: 0.0328 memory: 32703 grad_norm: 19.4613 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.4356 loss: 1.4356 2022/07/30 10:39:17 - mmengine - INFO - Epoch(train) [32][1820/2505] lr: 5.0000e-04 eta: 18:10:55 time: 1.0170 data_time: 0.0326 memory: 32703 grad_norm: 19.4902 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.4647 loss: 1.4647 2022/07/30 10:39:35 - mmengine - INFO - Epoch(train) [32][1840/2505] lr: 5.0000e-04 eta: 18:10:33 time: 0.9086 data_time: 0.0287 memory: 32703 grad_norm: 18.9512 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2654 loss: 1.2654 2022/07/30 10:39:55 - mmengine - INFO - Epoch(train) [32][1860/2505] lr: 5.0000e-04 eta: 18:10:14 time: 1.0193 data_time: 0.0294 memory: 32703 grad_norm: 18.4957 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.4020 loss: 1.4020 2022/07/30 10:40:14 - mmengine - INFO - Epoch(train) [32][1880/2505] lr: 5.0000e-04 eta: 18:09:53 time: 0.9273 data_time: 0.0286 memory: 32703 grad_norm: 19.6500 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.3779 loss: 1.3779 2022/07/30 10:40:35 - mmengine - INFO - Epoch(train) [32][1900/2505] lr: 5.0000e-04 eta: 18:09:34 time: 1.0667 data_time: 0.0270 memory: 32703 grad_norm: 19.6591 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.4140 loss: 1.4140 2022/07/30 10:40:53 - mmengine - INFO - Epoch(train) [32][1920/2505] lr: 5.0000e-04 eta: 18:09:12 time: 0.8802 data_time: 0.0328 memory: 32703 grad_norm: 19.9370 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4733 loss: 1.4733 2022/07/30 10:41:13 - mmengine - INFO - Epoch(train) [32][1940/2505] lr: 5.0000e-04 eta: 18:08:53 time: 1.0254 data_time: 0.0275 memory: 32703 grad_norm: 18.2546 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3465 loss: 1.3465 2022/07/30 10:41:33 - mmengine - INFO - Epoch(train) [32][1960/2505] lr: 5.0000e-04 eta: 18:08:33 time: 0.9691 data_time: 0.0270 memory: 32703 grad_norm: 20.5727 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0579 loss: 1.0579 2022/07/30 10:41:52 - mmengine - INFO - Epoch(train) [32][1980/2505] lr: 5.0000e-04 eta: 18:08:13 time: 0.9886 data_time: 0.0279 memory: 32703 grad_norm: 19.1332 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3756 loss: 1.3756 2022/07/30 10:42:12 - mmengine - INFO - Epoch(train) [32][2000/2505] lr: 5.0000e-04 eta: 18:07:53 time: 0.9878 data_time: 0.0287 memory: 32703 grad_norm: 19.4602 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.3596 loss: 1.3596 2022/07/30 10:42:32 - mmengine - INFO - Epoch(train) [32][2020/2505] lr: 5.0000e-04 eta: 18:07:33 time: 1.0156 data_time: 0.0263 memory: 32703 grad_norm: 19.1551 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2669 loss: 1.2669 2022/07/30 10:42:51 - mmengine - INFO - Epoch(train) [32][2040/2505] lr: 5.0000e-04 eta: 18:07:12 time: 0.9265 data_time: 0.0284 memory: 32703 grad_norm: 18.6114 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3885 loss: 1.3885 2022/07/30 10:43:12 - mmengine - INFO - Epoch(train) [32][2060/2505] lr: 5.0000e-04 eta: 18:06:53 time: 1.0621 data_time: 0.0271 memory: 32703 grad_norm: 19.2747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0969 loss: 1.0969 2022/07/30 10:43:31 - mmengine - INFO - Epoch(train) [32][2080/2505] lr: 5.0000e-04 eta: 18:06:33 time: 0.9494 data_time: 0.0266 memory: 32703 grad_norm: 18.0053 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.2265 loss: 1.2265 2022/07/30 10:43:52 - mmengine - INFO - Epoch(train) [32][2100/2505] lr: 5.0000e-04 eta: 18:06:13 time: 1.0344 data_time: 0.0301 memory: 32703 grad_norm: 19.5123 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1556 loss: 1.1556 2022/07/30 10:44:10 - mmengine - INFO - Epoch(train) [32][2120/2505] lr: 5.0000e-04 eta: 18:05:52 time: 0.8873 data_time: 0.0276 memory: 32703 grad_norm: 19.5159 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4564 loss: 1.4564 2022/07/30 10:44:31 - mmengine - INFO - Epoch(train) [32][2140/2505] lr: 5.0000e-04 eta: 18:05:33 time: 1.0565 data_time: 0.0299 memory: 32703 grad_norm: 18.3834 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2393 loss: 1.2393 2022/07/30 10:44:49 - mmengine - INFO - Epoch(train) [32][2160/2505] lr: 5.0000e-04 eta: 18:05:11 time: 0.8991 data_time: 0.0288 memory: 32703 grad_norm: 18.6902 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3282 loss: 1.3282 2022/07/30 10:45:10 - mmengine - INFO - Epoch(train) [32][2180/2505] lr: 5.0000e-04 eta: 18:04:53 time: 1.0750 data_time: 0.0262 memory: 32703 grad_norm: 18.5394 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2542 loss: 1.2542 2022/07/30 10:45:27 - mmengine - INFO - Epoch(train) [32][2200/2505] lr: 5.0000e-04 eta: 18:04:31 time: 0.8601 data_time: 0.0284 memory: 32703 grad_norm: 18.8779 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4811 loss: 1.4811 2022/07/30 10:45:49 - mmengine - INFO - Epoch(train) [32][2220/2505] lr: 5.0000e-04 eta: 18:04:12 time: 1.0761 data_time: 0.0258 memory: 32703 grad_norm: 18.9474 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2590 loss: 1.2590 2022/07/30 10:46:07 - mmengine - INFO - Epoch(train) [32][2240/2505] lr: 5.0000e-04 eta: 18:03:51 time: 0.9003 data_time: 0.0261 memory: 32703 grad_norm: 19.7463 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0887 loss: 1.0887 2022/07/30 10:46:29 - mmengine - INFO - Epoch(train) [32][2260/2505] lr: 5.0000e-04 eta: 18:03:33 time: 1.0940 data_time: 0.0268 memory: 32703 grad_norm: 18.1905 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2087 loss: 1.2087 2022/07/30 10:46:47 - mmengine - INFO - Epoch(train) [32][2280/2505] lr: 5.0000e-04 eta: 18:03:11 time: 0.8986 data_time: 0.0275 memory: 32703 grad_norm: 19.4567 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.5768 loss: 1.5768 2022/07/30 10:47:08 - mmengine - INFO - Epoch(train) [32][2300/2505] lr: 5.0000e-04 eta: 18:02:52 time: 1.0641 data_time: 0.0266 memory: 32703 grad_norm: 19.8994 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.4408 loss: 1.4408 2022/07/30 10:47:27 - mmengine - INFO - Epoch(train) [32][2320/2505] lr: 5.0000e-04 eta: 18:02:31 time: 0.9167 data_time: 0.0268 memory: 32703 grad_norm: 18.9447 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2494 loss: 1.2494 2022/07/30 10:47:48 - mmengine - INFO - Epoch(train) [32][2340/2505] lr: 5.0000e-04 eta: 18:02:12 time: 1.0654 data_time: 0.0264 memory: 32703 grad_norm: 18.8579 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1592 loss: 1.1592 2022/07/30 10:47:53 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 10:48:06 - mmengine - INFO - Epoch(train) [32][2360/2505] lr: 5.0000e-04 eta: 18:01:51 time: 0.9188 data_time: 0.0289 memory: 32703 grad_norm: 19.0104 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.4250 loss: 1.4250 2022/07/30 10:48:28 - mmengine - INFO - Epoch(train) [32][2380/2505] lr: 5.0000e-04 eta: 18:01:33 time: 1.0913 data_time: 0.0252 memory: 32703 grad_norm: 19.9825 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2251 loss: 1.2251 2022/07/30 10:48:46 - mmengine - INFO - Epoch(train) [32][2400/2505] lr: 5.0000e-04 eta: 18:01:11 time: 0.8901 data_time: 0.0263 memory: 32703 grad_norm: 19.0910 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.2911 loss: 1.2911 2022/07/30 10:49:07 - mmengine - INFO - Epoch(train) [32][2420/2505] lr: 5.0000e-04 eta: 18:00:53 time: 1.0531 data_time: 0.0272 memory: 32703 grad_norm: 19.2001 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.2573 loss: 1.2573 2022/07/30 10:49:25 - mmengine - INFO - Epoch(train) [32][2440/2505] lr: 5.0000e-04 eta: 18:00:31 time: 0.8977 data_time: 0.0268 memory: 32703 grad_norm: 18.9434 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3120 loss: 1.3120 2022/07/30 10:49:48 - mmengine - INFO - Epoch(train) [32][2460/2505] lr: 5.0000e-04 eta: 18:00:14 time: 1.1444 data_time: 0.0287 memory: 32703 grad_norm: 18.6490 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1487 loss: 1.1487 2022/07/30 10:50:06 - mmengine - INFO - Epoch(train) [32][2480/2505] lr: 5.0000e-04 eta: 17:59:52 time: 0.9026 data_time: 0.0279 memory: 32703 grad_norm: 18.8076 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3001 loss: 1.3001 2022/07/30 10:50:24 - mmengine - INFO - Epoch(train) [32][2500/2505] lr: 5.0000e-04 eta: 17:59:31 time: 0.8858 data_time: 0.0282 memory: 32703 grad_norm: 19.0501 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.4434 loss: 1.4434 2022/07/30 10:50:27 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 10:50:27 - mmengine - INFO - Epoch(train) [32][2505/2505] lr: 5.0000e-04 eta: 17:59:31 time: 0.7925 data_time: 0.0186 memory: 32703 grad_norm: 19.4366 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3206 loss: 1.3206 2022/07/30 10:50:27 - mmengine - INFO - Saving checkpoint at 32 epochs 2022/07/30 10:50:59 - mmengine - INFO - Epoch(train) [33][20/2505] lr: 5.0000e-05 eta: 17:59:07 time: 1.3216 data_time: 0.7325 memory: 32703 grad_norm: 18.5250 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2677 loss: 1.2677 2022/07/30 10:51:16 - mmengine - INFO - Epoch(train) [33][40/2505] lr: 5.0000e-05 eta: 17:58:45 time: 0.8464 data_time: 0.2302 memory: 32703 grad_norm: 18.3832 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2036 loss: 1.2036 2022/07/30 10:51:36 - mmengine - INFO - Epoch(train) [33][60/2505] lr: 5.0000e-05 eta: 17:58:25 time: 1.0078 data_time: 0.4062 memory: 32703 grad_norm: 18.5496 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2362 loss: 1.2362 2022/07/30 10:51:55 - mmengine - INFO - Epoch(train) [33][80/2505] lr: 5.0000e-05 eta: 17:58:04 time: 0.9361 data_time: 0.3304 memory: 32703 grad_norm: 18.1140 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2021 loss: 1.2021 2022/07/30 10:52:15 - mmengine - INFO - Epoch(train) [33][100/2505] lr: 5.0000e-05 eta: 17:57:45 time: 1.0160 data_time: 0.4179 memory: 32703 grad_norm: 18.5983 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2678 loss: 1.2678 2022/07/30 10:52:33 - mmengine - INFO - Epoch(train) [33][120/2505] lr: 5.0000e-05 eta: 17:57:24 time: 0.9243 data_time: 0.3101 memory: 32703 grad_norm: 17.5069 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1425 loss: 1.1425 2022/07/30 10:52:53 - mmengine - INFO - Epoch(train) [33][140/2505] lr: 5.0000e-05 eta: 17:57:04 time: 0.9888 data_time: 0.2843 memory: 32703 grad_norm: 17.9720 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2084 loss: 1.2084 2022/07/30 10:53:12 - mmengine - INFO - Epoch(train) [33][160/2505] lr: 5.0000e-05 eta: 17:56:43 time: 0.9603 data_time: 0.2502 memory: 32703 grad_norm: 17.1425 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1321 loss: 1.1321 2022/07/30 10:53:33 - mmengine - INFO - Epoch(train) [33][180/2505] lr: 5.0000e-05 eta: 17:56:24 time: 1.0502 data_time: 0.1072 memory: 32703 grad_norm: 18.2021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1994 loss: 1.1994 2022/07/30 10:53:53 - mmengine - INFO - Epoch(train) [33][200/2505] lr: 5.0000e-05 eta: 17:56:04 time: 0.9535 data_time: 0.1489 memory: 32703 grad_norm: 17.1836 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9303 loss: 0.9303 2022/07/30 10:54:14 - mmengine - INFO - Epoch(train) [33][220/2505] lr: 5.0000e-05 eta: 17:55:45 time: 1.0507 data_time: 0.0529 memory: 32703 grad_norm: 17.9202 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1560 loss: 1.1560 2022/07/30 10:54:32 - mmengine - INFO - Epoch(train) [33][240/2505] lr: 5.0000e-05 eta: 17:55:23 time: 0.9035 data_time: 0.0281 memory: 32703 grad_norm: 18.3339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2201 loss: 1.2201 2022/07/30 10:54:53 - mmengine - INFO - Epoch(train) [33][260/2505] lr: 5.0000e-05 eta: 17:55:05 time: 1.0822 data_time: 0.0659 memory: 32703 grad_norm: 17.2036 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1637 loss: 1.1637 2022/07/30 10:55:12 - mmengine - INFO - Epoch(train) [33][280/2505] lr: 5.0000e-05 eta: 17:54:44 time: 0.9196 data_time: 0.1071 memory: 32703 grad_norm: 17.5047 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9977 loss: 0.9977 2022/07/30 10:55:33 - mmengine - INFO - Epoch(train) [33][300/2505] lr: 5.0000e-05 eta: 17:54:25 time: 1.0534 data_time: 0.1279 memory: 32703 grad_norm: 17.6125 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0443 loss: 1.0443 2022/07/30 10:55:51 - mmengine - INFO - Epoch(train) [33][320/2505] lr: 5.0000e-05 eta: 17:54:03 time: 0.8916 data_time: 0.0300 memory: 32703 grad_norm: 18.1305 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0162 loss: 1.0162 2022/07/30 10:56:11 - mmengine - INFO - Epoch(train) [33][340/2505] lr: 5.0000e-05 eta: 17:53:44 time: 1.0416 data_time: 0.0319 memory: 32703 grad_norm: 17.2992 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1187 loss: 1.1187 2022/07/30 10:56:31 - mmengine - INFO - Epoch(train) [33][360/2505] lr: 5.0000e-05 eta: 17:53:24 time: 0.9599 data_time: 0.0283 memory: 32703 grad_norm: 17.3302 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0906 loss: 1.0906 2022/07/30 10:56:52 - mmengine - INFO - Epoch(train) [33][380/2505] lr: 5.0000e-05 eta: 17:53:05 time: 1.0440 data_time: 0.0934 memory: 32703 grad_norm: 17.9266 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2152 loss: 1.2152 2022/07/30 10:57:10 - mmengine - INFO - Epoch(train) [33][400/2505] lr: 5.0000e-05 eta: 17:52:44 time: 0.9168 data_time: 0.1444 memory: 32703 grad_norm: 17.1759 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8968 loss: 0.8968 2022/07/30 10:57:32 - mmengine - INFO - Epoch(train) [33][420/2505] lr: 5.0000e-05 eta: 17:52:25 time: 1.0895 data_time: 0.1043 memory: 32703 grad_norm: 18.4867 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9252 loss: 0.9252 2022/07/30 10:57:49 - mmengine - INFO - Epoch(train) [33][440/2505] lr: 5.0000e-05 eta: 17:52:04 time: 0.8834 data_time: 0.0471 memory: 32703 grad_norm: 19.3045 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0548 loss: 1.0548 2022/07/30 10:58:11 - mmengine - INFO - Epoch(train) [33][460/2505] lr: 5.0000e-05 eta: 17:51:45 time: 1.0683 data_time: 0.0379 memory: 32703 grad_norm: 18.2316 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1350 loss: 1.1350 2022/07/30 10:58:29 - mmengine - INFO - Epoch(train) [33][480/2505] lr: 5.0000e-05 eta: 17:51:24 time: 0.9198 data_time: 0.1143 memory: 32703 grad_norm: 18.1161 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0391 loss: 1.0391 2022/07/30 10:58:50 - mmengine - INFO - Epoch(train) [33][500/2505] lr: 5.0000e-05 eta: 17:51:05 time: 1.0516 data_time: 0.1419 memory: 32703 grad_norm: 17.9314 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3617 loss: 1.3617 2022/07/30 10:59:09 - mmengine - INFO - Epoch(train) [33][520/2505] lr: 5.0000e-05 eta: 17:50:44 time: 0.9326 data_time: 0.1275 memory: 32703 grad_norm: 16.8092 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9661 loss: 0.9661 2022/07/30 10:59:30 - mmengine - INFO - Epoch(train) [33][540/2505] lr: 5.0000e-05 eta: 17:50:25 time: 1.0731 data_time: 0.2243 memory: 32703 grad_norm: 18.0016 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0938 loss: 1.0938 2022/07/30 10:59:49 - mmengine - INFO - Epoch(train) [33][560/2505] lr: 5.0000e-05 eta: 17:50:04 time: 0.9316 data_time: 0.2049 memory: 32703 grad_norm: 17.2744 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1888 loss: 1.1888 2022/07/30 11:00:10 - mmengine - INFO - Epoch(train) [33][580/2505] lr: 5.0000e-05 eta: 17:49:45 time: 1.0322 data_time: 0.2876 memory: 32703 grad_norm: 17.4583 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2548 loss: 1.2548 2022/07/30 11:00:29 - mmengine - INFO - Epoch(train) [33][600/2505] lr: 5.0000e-05 eta: 17:49:25 time: 0.9886 data_time: 0.2962 memory: 32703 grad_norm: 17.7115 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1818 loss: 1.1818 2022/07/30 11:00:50 - mmengine - INFO - Epoch(train) [33][620/2505] lr: 5.0000e-05 eta: 17:49:05 time: 1.0085 data_time: 0.4260 memory: 32703 grad_norm: 17.4896 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2151 loss: 1.2151 2022/07/30 11:01:09 - mmengine - INFO - Epoch(train) [33][640/2505] lr: 5.0000e-05 eta: 17:48:45 time: 0.9606 data_time: 0.3399 memory: 32703 grad_norm: 17.8988 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1250 loss: 1.1250 2022/07/30 11:01:29 - mmengine - INFO - Epoch(train) [33][660/2505] lr: 5.0000e-05 eta: 17:48:26 time: 1.0296 data_time: 0.4482 memory: 32703 grad_norm: 17.5444 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1941 loss: 1.1941 2022/07/30 11:01:48 - mmengine - INFO - Epoch(train) [33][680/2505] lr: 5.0000e-05 eta: 17:48:05 time: 0.9520 data_time: 0.3337 memory: 32703 grad_norm: 18.3269 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0756 loss: 1.0756 2022/07/30 11:02:09 - mmengine - INFO - Epoch(train) [33][700/2505] lr: 5.0000e-05 eta: 17:47:46 time: 1.0190 data_time: 0.4333 memory: 32703 grad_norm: 18.0378 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2192 loss: 1.2192 2022/07/30 11:02:27 - mmengine - INFO - Epoch(train) [33][720/2505] lr: 5.0000e-05 eta: 17:47:25 time: 0.9319 data_time: 0.3305 memory: 32703 grad_norm: 17.5304 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9449 loss: 0.9449 2022/07/30 11:02:49 - mmengine - INFO - Epoch(train) [33][740/2505] lr: 5.0000e-05 eta: 17:47:06 time: 1.0678 data_time: 0.4532 memory: 32703 grad_norm: 18.5562 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3372 loss: 1.3372 2022/07/30 11:03:05 - mmengine - INFO - Epoch(train) [33][760/2505] lr: 5.0000e-05 eta: 17:46:44 time: 0.8319 data_time: 0.2499 memory: 32703 grad_norm: 18.2150 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2054 loss: 1.2054 2022/07/30 11:03:27 - mmengine - INFO - Epoch(train) [33][780/2505] lr: 5.0000e-05 eta: 17:46:25 time: 1.0604 data_time: 0.4414 memory: 32703 grad_norm: 17.3569 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1308 loss: 1.1308 2022/07/30 11:03:45 - mmengine - INFO - Epoch(train) [33][800/2505] lr: 5.0000e-05 eta: 17:46:03 time: 0.9066 data_time: 0.3262 memory: 32703 grad_norm: 17.7576 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0377 loss: 1.0377 2022/07/30 11:04:06 - mmengine - INFO - Epoch(train) [33][820/2505] lr: 5.0000e-05 eta: 17:45:45 time: 1.0652 data_time: 0.4740 memory: 32703 grad_norm: 17.8774 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0039 loss: 1.0039 2022/07/30 11:04:24 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 11:04:24 - mmengine - INFO - Epoch(train) [33][840/2505] lr: 5.0000e-05 eta: 17:45:23 time: 0.8835 data_time: 0.2939 memory: 32703 grad_norm: 17.3915 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1686 loss: 1.1686 2022/07/30 11:04:44 - mmengine - INFO - Epoch(train) [33][860/2505] lr: 5.0000e-05 eta: 17:45:04 time: 1.0164 data_time: 0.4272 memory: 32703 grad_norm: 18.7879 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2598 loss: 1.2598 2022/07/30 11:05:03 - mmengine - INFO - Epoch(train) [33][880/2505] lr: 5.0000e-05 eta: 17:44:43 time: 0.9296 data_time: 0.3239 memory: 32703 grad_norm: 16.8590 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9576 loss: 0.9576 2022/07/30 11:05:24 - mmengine - INFO - Epoch(train) [33][900/2505] lr: 5.0000e-05 eta: 17:44:24 time: 1.0796 data_time: 0.4747 memory: 32703 grad_norm: 17.6911 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8931 loss: 0.8931 2022/07/30 11:05:42 - mmengine - INFO - Epoch(train) [33][920/2505] lr: 5.0000e-05 eta: 17:44:03 time: 0.9020 data_time: 0.2903 memory: 32703 grad_norm: 17.8575 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0013 loss: 1.0013 2022/07/30 11:06:04 - mmengine - INFO - Epoch(train) [33][940/2505] lr: 5.0000e-05 eta: 17:43:44 time: 1.0652 data_time: 0.4526 memory: 32703 grad_norm: 18.0241 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1378 loss: 1.1378 2022/07/30 11:06:21 - mmengine - INFO - Epoch(train) [33][960/2505] lr: 5.0000e-05 eta: 17:43:22 time: 0.8889 data_time: 0.2728 memory: 32703 grad_norm: 18.5004 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1425 loss: 1.1425 2022/07/30 11:06:42 - mmengine - INFO - Epoch(train) [33][980/2505] lr: 5.0000e-05 eta: 17:43:03 time: 1.0335 data_time: 0.4303 memory: 32703 grad_norm: 16.9722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8460 loss: 0.8460 2022/07/30 11:07:00 - mmengine - INFO - Epoch(train) [33][1000/2505] lr: 5.0000e-05 eta: 17:42:42 time: 0.9052 data_time: 0.2608 memory: 32703 grad_norm: 17.8787 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.1713 loss: 1.1713 2022/07/30 11:07:22 - mmengine - INFO - Epoch(train) [33][1020/2505] lr: 5.0000e-05 eta: 17:42:24 time: 1.0966 data_time: 0.4926 memory: 32703 grad_norm: 18.3588 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2521 loss: 1.2521 2022/07/30 11:07:40 - mmengine - INFO - Epoch(train) [33][1040/2505] lr: 5.0000e-05 eta: 17:42:02 time: 0.9026 data_time: 0.2723 memory: 32703 grad_norm: 17.3528 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0563 loss: 1.0563 2022/07/30 11:08:02 - mmengine - INFO - Epoch(train) [33][1060/2505] lr: 5.0000e-05 eta: 17:41:44 time: 1.0705 data_time: 0.3845 memory: 32703 grad_norm: 17.6579 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2512 loss: 1.2512 2022/07/30 11:08:20 - mmengine - INFO - Epoch(train) [33][1080/2505] lr: 5.0000e-05 eta: 17:41:22 time: 0.9010 data_time: 0.2928 memory: 32703 grad_norm: 18.3209 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1723 loss: 1.1723 2022/07/30 11:08:40 - mmengine - INFO - Epoch(train) [33][1100/2505] lr: 5.0000e-05 eta: 17:41:03 time: 1.0067 data_time: 0.2666 memory: 32703 grad_norm: 17.4193 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2501 loss: 1.2501 2022/07/30 11:08:58 - mmengine - INFO - Epoch(train) [33][1120/2505] lr: 5.0000e-05 eta: 17:40:41 time: 0.9005 data_time: 0.0353 memory: 32703 grad_norm: 17.9873 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2212 loss: 1.2212 2022/07/30 11:09:20 - mmengine - INFO - Epoch(train) [33][1140/2505] lr: 5.0000e-05 eta: 17:40:23 time: 1.1135 data_time: 0.0311 memory: 32703 grad_norm: 18.1652 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0974 loss: 1.0974 2022/07/30 11:09:38 - mmengine - INFO - Epoch(train) [33][1160/2505] lr: 5.0000e-05 eta: 17:40:02 time: 0.9104 data_time: 0.0267 memory: 32703 grad_norm: 17.6385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9540 loss: 0.9540 2022/07/30 11:09:59 - mmengine - INFO - Epoch(train) [33][1180/2505] lr: 5.0000e-05 eta: 17:39:43 time: 1.0504 data_time: 0.0297 memory: 32703 grad_norm: 17.4077 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3464 loss: 1.3464 2022/07/30 11:10:18 - mmengine - INFO - Epoch(train) [33][1200/2505] lr: 5.0000e-05 eta: 17:39:22 time: 0.9213 data_time: 0.0251 memory: 32703 grad_norm: 17.5737 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0401 loss: 1.0401 2022/07/30 11:10:39 - mmengine - INFO - Epoch(train) [33][1220/2505] lr: 5.0000e-05 eta: 17:39:03 time: 1.0740 data_time: 0.0291 memory: 32703 grad_norm: 18.1367 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0302 loss: 1.0302 2022/07/30 11:10:57 - mmengine - INFO - Epoch(train) [33][1240/2505] lr: 5.0000e-05 eta: 17:38:42 time: 0.8783 data_time: 0.0285 memory: 32703 grad_norm: 17.4290 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2499 loss: 1.2499 2022/07/30 11:11:18 - mmengine - INFO - Epoch(train) [33][1260/2505] lr: 5.0000e-05 eta: 17:38:23 time: 1.0810 data_time: 0.0336 memory: 32703 grad_norm: 17.8282 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0004 loss: 1.0004 2022/07/30 11:11:36 - mmengine - INFO - Epoch(train) [33][1280/2505] lr: 5.0000e-05 eta: 17:38:01 time: 0.8672 data_time: 0.0311 memory: 32703 grad_norm: 18.3128 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.1033 loss: 1.1033 2022/07/30 11:11:57 - mmengine - INFO - Epoch(train) [33][1300/2505] lr: 5.0000e-05 eta: 17:37:42 time: 1.0490 data_time: 0.0283 memory: 32703 grad_norm: 17.3344 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9155 loss: 0.9155 2022/07/30 11:12:17 - mmengine - INFO - Epoch(train) [33][1320/2505] lr: 5.0000e-05 eta: 17:37:23 time: 1.0184 data_time: 0.1882 memory: 32703 grad_norm: 17.6197 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1973 loss: 1.1973 2022/07/30 11:12:38 - mmengine - INFO - Epoch(train) [33][1340/2505] lr: 5.0000e-05 eta: 17:37:04 time: 1.0595 data_time: 0.3311 memory: 32703 grad_norm: 17.3654 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9686 loss: 0.9686 2022/07/30 11:12:56 - mmengine - INFO - Epoch(train) [33][1360/2505] lr: 5.0000e-05 eta: 17:36:42 time: 0.8812 data_time: 0.1503 memory: 32703 grad_norm: 19.1800 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1295 loss: 1.1295 2022/07/30 11:13:19 - mmengine - INFO - Epoch(train) [33][1380/2505] lr: 5.0000e-05 eta: 17:36:24 time: 1.1307 data_time: 0.1518 memory: 32703 grad_norm: 18.3700 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0712 loss: 1.0712 2022/07/30 11:13:36 - mmengine - INFO - Epoch(train) [33][1400/2505] lr: 5.0000e-05 eta: 17:36:03 time: 0.8815 data_time: 0.1263 memory: 32703 grad_norm: 17.5594 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1437 loss: 1.1437 2022/07/30 11:13:57 - mmengine - INFO - Epoch(train) [33][1420/2505] lr: 5.0000e-05 eta: 17:35:44 time: 1.0576 data_time: 0.1045 memory: 32703 grad_norm: 17.9488 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0571 loss: 1.0571 2022/07/30 11:14:15 - mmengine - INFO - Epoch(train) [33][1440/2505] lr: 5.0000e-05 eta: 17:35:22 time: 0.8643 data_time: 0.0321 memory: 32703 grad_norm: 17.6681 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0417 loss: 1.0417 2022/07/30 11:14:36 - mmengine - INFO - Epoch(train) [33][1460/2505] lr: 5.0000e-05 eta: 17:35:03 time: 1.0694 data_time: 0.0706 memory: 32703 grad_norm: 18.1401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2817 loss: 1.2817 2022/07/30 11:14:54 - mmengine - INFO - Epoch(train) [33][1480/2505] lr: 5.0000e-05 eta: 17:34:42 time: 0.8824 data_time: 0.0827 memory: 32703 grad_norm: 17.7654 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1018 loss: 1.1018 2022/07/30 11:15:16 - mmengine - INFO - Epoch(train) [33][1500/2505] lr: 5.0000e-05 eta: 17:34:23 time: 1.0964 data_time: 0.1940 memory: 32703 grad_norm: 17.1963 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1697 loss: 1.1697 2022/07/30 11:15:33 - mmengine - INFO - Epoch(train) [33][1520/2505] lr: 5.0000e-05 eta: 17:34:02 time: 0.8778 data_time: 0.0780 memory: 32703 grad_norm: 17.2237 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0761 loss: 1.0761 2022/07/30 11:15:54 - mmengine - INFO - Epoch(train) [33][1540/2505] lr: 5.0000e-05 eta: 17:33:43 time: 1.0497 data_time: 0.0393 memory: 32703 grad_norm: 17.6244 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3314 loss: 1.3314 2022/07/30 11:16:13 - mmengine - INFO - Epoch(train) [33][1560/2505] lr: 5.0000e-05 eta: 17:33:22 time: 0.9541 data_time: 0.0267 memory: 32703 grad_norm: 18.0442 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1155 loss: 1.1155 2022/07/30 11:16:35 - mmengine - INFO - Epoch(train) [33][1580/2505] lr: 5.0000e-05 eta: 17:33:03 time: 1.0596 data_time: 0.1310 memory: 32703 grad_norm: 18.5229 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0079 loss: 1.0079 2022/07/30 11:16:54 - mmengine - INFO - Epoch(train) [33][1600/2505] lr: 5.0000e-05 eta: 17:32:43 time: 0.9541 data_time: 0.2514 memory: 32703 grad_norm: 17.5664 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0403 loss: 1.0403 2022/07/30 11:17:14 - mmengine - INFO - Epoch(train) [33][1620/2505] lr: 5.0000e-05 eta: 17:32:23 time: 1.0234 data_time: 0.4022 memory: 32703 grad_norm: 16.8934 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9535 loss: 0.9535 2022/07/30 11:17:32 - mmengine - INFO - Epoch(train) [33][1640/2505] lr: 5.0000e-05 eta: 17:32:02 time: 0.9185 data_time: 0.2717 memory: 32703 grad_norm: 17.6905 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0354 loss: 1.0354 2022/07/30 11:17:53 - mmengine - INFO - Epoch(train) [33][1660/2505] lr: 5.0000e-05 eta: 17:31:43 time: 1.0331 data_time: 0.3837 memory: 32703 grad_norm: 17.8952 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9717 loss: 0.9717 2022/07/30 11:18:12 - mmengine - INFO - Epoch(train) [33][1680/2505] lr: 5.0000e-05 eta: 17:31:22 time: 0.9186 data_time: 0.2851 memory: 32703 grad_norm: 18.1159 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1538 loss: 1.1538 2022/07/30 11:18:32 - mmengine - INFO - Epoch(train) [33][1700/2505] lr: 5.0000e-05 eta: 17:31:02 time: 1.0015 data_time: 0.3432 memory: 32703 grad_norm: 18.0580 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9430 loss: 0.9430 2022/07/30 11:18:50 - mmengine - INFO - Epoch(train) [33][1720/2505] lr: 5.0000e-05 eta: 17:30:41 time: 0.9219 data_time: 0.1631 memory: 32703 grad_norm: 17.4114 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1742 loss: 1.1742 2022/07/30 11:19:10 - mmengine - INFO - Epoch(train) [33][1740/2505] lr: 5.0000e-05 eta: 17:30:22 time: 1.0193 data_time: 0.1795 memory: 32703 grad_norm: 17.8428 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1411 loss: 1.1411 2022/07/30 11:19:30 - mmengine - INFO - Epoch(train) [33][1760/2505] lr: 5.0000e-05 eta: 17:30:01 time: 0.9568 data_time: 0.1170 memory: 32703 grad_norm: 18.2446 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1640 loss: 1.1640 2022/07/30 11:19:50 - mmengine - INFO - Epoch(train) [33][1780/2505] lr: 5.0000e-05 eta: 17:29:41 time: 1.0058 data_time: 0.1689 memory: 32703 grad_norm: 18.5975 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1439 loss: 1.1439 2022/07/30 11:20:10 - mmengine - INFO - Epoch(train) [33][1800/2505] lr: 5.0000e-05 eta: 17:29:22 time: 1.0143 data_time: 0.1837 memory: 32703 grad_norm: 17.1242 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1294 loss: 1.1294 2022/07/30 11:20:29 - mmengine - INFO - Epoch(train) [33][1820/2505] lr: 5.0000e-05 eta: 17:29:02 time: 0.9711 data_time: 0.2620 memory: 32703 grad_norm: 17.9058 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2533 loss: 1.2533 2022/07/30 11:20:50 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 11:20:50 - mmengine - INFO - Epoch(train) [33][1840/2505] lr: 5.0000e-05 eta: 17:28:42 time: 1.0397 data_time: 0.2433 memory: 32703 grad_norm: 17.8441 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9910 loss: 0.9910 2022/07/30 11:21:10 - mmengine - INFO - Epoch(train) [33][1860/2505] lr: 5.0000e-05 eta: 17:28:23 time: 0.9976 data_time: 0.3103 memory: 32703 grad_norm: 17.8637 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1361 loss: 1.1361 2022/07/30 11:21:30 - mmengine - INFO - Epoch(train) [33][1880/2505] lr: 5.0000e-05 eta: 17:28:03 time: 1.0049 data_time: 0.1670 memory: 32703 grad_norm: 17.9643 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0046 loss: 1.0046 2022/07/30 11:21:50 - mmengine - INFO - Epoch(train) [33][1900/2505] lr: 5.0000e-05 eta: 17:27:43 time: 0.9801 data_time: 0.2452 memory: 32703 grad_norm: 18.1170 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1309 loss: 1.1309 2022/07/30 11:22:10 - mmengine - INFO - Epoch(train) [33][1920/2505] lr: 5.0000e-05 eta: 17:27:23 time: 1.0024 data_time: 0.1484 memory: 32703 grad_norm: 17.4738 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0089 loss: 1.0089 2022/07/30 11:22:28 - mmengine - INFO - Epoch(train) [33][1940/2505] lr: 5.0000e-05 eta: 17:27:02 time: 0.9165 data_time: 0.0800 memory: 32703 grad_norm: 18.4426 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1893 loss: 1.1893 2022/07/30 11:22:49 - mmengine - INFO - Epoch(train) [33][1960/2505] lr: 5.0000e-05 eta: 17:26:43 time: 1.0347 data_time: 0.0361 memory: 32703 grad_norm: 17.4115 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1188 loss: 1.1188 2022/07/30 11:23:07 - mmengine - INFO - Epoch(train) [33][1980/2505] lr: 5.0000e-05 eta: 17:26:21 time: 0.8874 data_time: 0.0281 memory: 32703 grad_norm: 18.3834 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1197 loss: 1.1197 2022/07/30 11:23:27 - mmengine - INFO - Epoch(train) [33][2000/2505] lr: 5.0000e-05 eta: 17:26:02 time: 1.0181 data_time: 0.0268 memory: 32703 grad_norm: 17.5253 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0017 loss: 1.0017 2022/07/30 11:23:45 - mmengine - INFO - Epoch(train) [33][2020/2505] lr: 5.0000e-05 eta: 17:25:40 time: 0.8924 data_time: 0.0628 memory: 32703 grad_norm: 17.6849 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9108 loss: 0.9108 2022/07/30 11:24:05 - mmengine - INFO - Epoch(train) [33][2040/2505] lr: 5.0000e-05 eta: 17:25:21 time: 1.0271 data_time: 0.1402 memory: 32703 grad_norm: 18.3438 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2470 loss: 1.2470 2022/07/30 11:24:25 - mmengine - INFO - Epoch(train) [33][2060/2505] lr: 5.0000e-05 eta: 17:25:00 time: 0.9589 data_time: 0.1662 memory: 32703 grad_norm: 17.8603 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0586 loss: 1.0586 2022/07/30 11:24:45 - mmengine - INFO - Epoch(train) [33][2080/2505] lr: 5.0000e-05 eta: 17:24:41 time: 1.0191 data_time: 0.1304 memory: 32703 grad_norm: 17.9334 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9574 loss: 0.9574 2022/07/30 11:25:05 - mmengine - INFO - Epoch(train) [33][2100/2505] lr: 5.0000e-05 eta: 17:24:21 time: 1.0004 data_time: 0.2276 memory: 32703 grad_norm: 18.0134 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0201 loss: 1.0201 2022/07/30 11:25:27 - mmengine - INFO - Epoch(train) [33][2120/2505] lr: 5.0000e-05 eta: 17:24:03 time: 1.0868 data_time: 0.0435 memory: 32703 grad_norm: 17.9826 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0132 loss: 1.0132 2022/07/30 11:25:44 - mmengine - INFO - Epoch(train) [33][2140/2505] lr: 5.0000e-05 eta: 17:23:41 time: 0.8745 data_time: 0.0433 memory: 32703 grad_norm: 18.4755 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0981 loss: 1.0981 2022/07/30 11:26:06 - mmengine - INFO - Epoch(train) [33][2160/2505] lr: 5.0000e-05 eta: 17:23:23 time: 1.0930 data_time: 0.0960 memory: 32703 grad_norm: 18.2662 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0305 loss: 1.0305 2022/07/30 11:26:24 - mmengine - INFO - Epoch(train) [33][2180/2505] lr: 5.0000e-05 eta: 17:23:01 time: 0.9152 data_time: 0.0332 memory: 32703 grad_norm: 18.8243 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0495 loss: 1.0495 2022/07/30 11:26:46 - mmengine - INFO - Epoch(train) [33][2200/2505] lr: 5.0000e-05 eta: 17:22:42 time: 1.0524 data_time: 0.0398 memory: 32703 grad_norm: 18.2689 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2251 loss: 1.2251 2022/07/30 11:27:04 - mmengine - INFO - Epoch(train) [33][2220/2505] lr: 5.0000e-05 eta: 17:22:21 time: 0.9220 data_time: 0.0315 memory: 32703 grad_norm: 17.5945 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9053 loss: 0.9053 2022/07/30 11:27:25 - mmengine - INFO - Epoch(train) [33][2240/2505] lr: 5.0000e-05 eta: 17:22:02 time: 1.0451 data_time: 0.0445 memory: 32703 grad_norm: 17.6848 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0093 loss: 1.0093 2022/07/30 11:27:44 - mmengine - INFO - Epoch(train) [33][2260/2505] lr: 5.0000e-05 eta: 17:21:42 time: 0.9446 data_time: 0.1689 memory: 32703 grad_norm: 17.8245 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1269 loss: 1.1269 2022/07/30 11:28:04 - mmengine - INFO - Epoch(train) [33][2280/2505] lr: 5.0000e-05 eta: 17:21:22 time: 1.0070 data_time: 0.0724 memory: 32703 grad_norm: 17.7959 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1032 loss: 1.1032 2022/07/30 11:28:24 - mmengine - INFO - Epoch(train) [33][2300/2505] lr: 5.0000e-05 eta: 17:21:02 time: 0.9949 data_time: 0.1610 memory: 32703 grad_norm: 17.6083 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0956 loss: 1.0956 2022/07/30 11:28:43 - mmengine - INFO - Epoch(train) [33][2320/2505] lr: 5.0000e-05 eta: 17:20:42 time: 0.9781 data_time: 0.0881 memory: 32703 grad_norm: 17.0973 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9979 loss: 0.9979 2022/07/30 11:29:02 - mmengine - INFO - Epoch(train) [33][2340/2505] lr: 5.0000e-05 eta: 17:20:21 time: 0.9230 data_time: 0.0736 memory: 32703 grad_norm: 18.0084 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1205 loss: 1.1205 2022/07/30 11:29:24 - mmengine - INFO - Epoch(train) [33][2360/2505] lr: 5.0000e-05 eta: 17:20:03 time: 1.0886 data_time: 0.0719 memory: 32703 grad_norm: 18.8143 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1838 loss: 1.1838 2022/07/30 11:29:42 - mmengine - INFO - Epoch(train) [33][2380/2505] lr: 5.0000e-05 eta: 17:19:41 time: 0.9024 data_time: 0.2242 memory: 32703 grad_norm: 18.1207 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0501 loss: 1.0501 2022/07/30 11:30:02 - mmengine - INFO - Epoch(train) [33][2400/2505] lr: 5.0000e-05 eta: 17:19:22 time: 1.0372 data_time: 0.0298 memory: 32703 grad_norm: 17.9307 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1348 loss: 1.1348 2022/07/30 11:30:21 - mmengine - INFO - Epoch(train) [33][2420/2505] lr: 5.0000e-05 eta: 17:19:02 time: 0.9471 data_time: 0.0442 memory: 32703 grad_norm: 18.2101 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3543 loss: 1.3543 2022/07/30 11:30:42 - mmengine - INFO - Epoch(train) [33][2440/2505] lr: 5.0000e-05 eta: 17:18:42 time: 1.0239 data_time: 0.0324 memory: 32703 grad_norm: 18.1594 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0317 loss: 1.0317 2022/07/30 11:31:02 - mmengine - INFO - Epoch(train) [33][2460/2505] lr: 5.0000e-05 eta: 17:18:22 time: 0.9847 data_time: 0.1919 memory: 32703 grad_norm: 18.2323 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9544 loss: 0.9544 2022/07/30 11:31:20 - mmengine - INFO - Epoch(train) [33][2480/2505] lr: 5.0000e-05 eta: 17:18:01 time: 0.9299 data_time: 0.2714 memory: 32703 grad_norm: 18.1325 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0597 loss: 1.0597 2022/07/30 11:31:39 - mmengine - INFO - Epoch(train) [33][2500/2505] lr: 5.0000e-05 eta: 17:17:41 time: 0.9543 data_time: 0.1500 memory: 32703 grad_norm: 17.0942 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9086 loss: 0.9086 2022/07/30 11:31:42 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 11:31:42 - mmengine - INFO - Epoch(train) [33][2505/2505] lr: 5.0000e-05 eta: 17:17:41 time: 0.7928 data_time: 0.0617 memory: 32703 grad_norm: 17.2961 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9749 loss: 0.9749 2022/07/30 11:31:44 - mmengine - INFO - Epoch(val) [33][20/2475] eta: 0:04:42 time: 0.1152 data_time: 0.0885 memory: 817 2022/07/30 11:31:47 - mmengine - INFO - Epoch(val) [33][40/2475] eta: 0:06:16 time: 0.1548 data_time: 0.1252 memory: 817 2022/07/30 11:31:49 - mmengine - INFO - Epoch(val) [33][60/2475] eta: 0:03:02 time: 0.0757 data_time: 0.0471 memory: 817 2022/07/30 11:31:50 - mmengine - INFO - Epoch(val) [33][80/2475] eta: 0:02:02 time: 0.0512 data_time: 0.0235 memory: 817 2022/07/30 11:31:52 - mmengine - INFO - Epoch(val) [33][100/2475] eta: 0:03:02 time: 0.0769 data_time: 0.0490 memory: 817 2022/07/30 11:31:53 - mmengine - INFO - Epoch(val) [33][120/2475] eta: 0:03:24 time: 0.0867 data_time: 0.0598 memory: 817 2022/07/30 11:31:55 - mmengine - INFO - Epoch(val) [33][140/2475] eta: 0:03:51 time: 0.0990 data_time: 0.0706 memory: 817 2022/07/30 11:31:58 - mmengine - INFO - Epoch(val) [33][160/2475] eta: 0:05:36 time: 0.1455 data_time: 0.1184 memory: 817 2022/07/30 11:31:59 - mmengine - INFO - Epoch(val) [33][180/2475] eta: 0:02:22 time: 0.0621 data_time: 0.0306 memory: 817 2022/07/30 11:32:00 - mmengine - INFO - Epoch(val) [33][200/2475] eta: 0:01:53 time: 0.0499 data_time: 0.0238 memory: 817 2022/07/30 11:32:03 - mmengine - INFO - Epoch(val) [33][220/2475] eta: 0:05:34 time: 0.1485 data_time: 0.1185 memory: 817 2022/07/30 11:32:05 - mmengine - INFO - Epoch(val) [33][240/2475] eta: 0:02:21 time: 0.0633 data_time: 0.0339 memory: 817 2022/07/30 11:32:07 - mmengine - INFO - Epoch(val) [33][260/2475] eta: 0:03:26 time: 0.0932 data_time: 0.0656 memory: 817 2022/07/30 11:32:09 - mmengine - INFO - Epoch(val) [33][280/2475] eta: 0:03:55 time: 0.1072 data_time: 0.0726 memory: 817 2022/07/30 11:32:11 - mmengine - INFO - Epoch(val) [33][300/2475] eta: 0:04:12 time: 0.1162 data_time: 0.0894 memory: 817 2022/07/30 11:32:12 - mmengine - INFO - Epoch(val) [33][320/2475] eta: 0:02:40 time: 0.0746 data_time: 0.0473 memory: 817 2022/07/30 11:32:14 - mmengine - INFO - Epoch(val) [33][340/2475] eta: 0:02:30 time: 0.0705 data_time: 0.0449 memory: 817 2022/07/30 11:32:16 - mmengine - INFO - Epoch(val) [33][360/2475] eta: 0:03:08 time: 0.0893 data_time: 0.0617 memory: 817 2022/07/30 11:32:17 - mmengine - INFO - Epoch(val) [33][380/2475] eta: 0:02:58 time: 0.0852 data_time: 0.0577 memory: 817 2022/07/30 11:32:19 - mmengine - INFO - Epoch(val) [33][400/2475] eta: 0:02:40 time: 0.0772 data_time: 0.0460 memory: 817 2022/07/30 11:32:20 - mmengine - INFO - Epoch(val) [33][420/2475] eta: 0:02:27 time: 0.0719 data_time: 0.0436 memory: 817 2022/07/30 11:32:22 - mmengine - INFO - Epoch(val) [33][440/2475] eta: 0:03:16 time: 0.0966 data_time: 0.0685 memory: 817 2022/07/30 11:32:24 - mmengine - INFO - Epoch(val) [33][460/2475] eta: 0:02:07 time: 0.0635 data_time: 0.0355 memory: 817 2022/07/30 11:32:25 - mmengine - INFO - Epoch(val) [33][480/2475] eta: 0:02:42 time: 0.0815 data_time: 0.0553 memory: 817 2022/07/30 11:32:26 - mmengine - INFO - Epoch(val) [33][500/2475] eta: 0:02:04 time: 0.0629 data_time: 0.0370 memory: 817 2022/07/30 11:32:28 - mmengine - INFO - Epoch(val) [33][520/2475] eta: 0:02:49 time: 0.0867 data_time: 0.0588 memory: 817 2022/07/30 11:32:30 - mmengine - INFO - Epoch(val) [33][540/2475] eta: 0:02:12 time: 0.0686 data_time: 0.0367 memory: 817 2022/07/30 11:32:32 - mmengine - INFO - Epoch(val) [33][560/2475] eta: 0:03:07 time: 0.0980 data_time: 0.0695 memory: 817 2022/07/30 11:32:34 - mmengine - INFO - Epoch(val) [33][580/2475] eta: 0:03:44 time: 0.1184 data_time: 0.0920 memory: 817 2022/07/30 11:32:35 - mmengine - INFO - Epoch(val) [33][600/2475] eta: 0:02:03 time: 0.0661 data_time: 0.0375 memory: 817 2022/07/30 11:32:37 - mmengine - INFO - Epoch(val) [33][620/2475] eta: 0:02:24 time: 0.0780 data_time: 0.0500 memory: 817 2022/07/30 11:32:38 - mmengine - INFO - Epoch(val) [33][640/2475] eta: 0:02:00 time: 0.0658 data_time: 0.0381 memory: 817 2022/07/30 11:32:40 - mmengine - INFO - Epoch(val) [33][660/2475] eta: 0:02:48 time: 0.0929 data_time: 0.0631 memory: 817 2022/07/30 11:32:42 - mmengine - INFO - Epoch(val) [33][680/2475] eta: 0:02:29 time: 0.0831 data_time: 0.0559 memory: 817 2022/07/30 11:32:44 - mmengine - INFO - Epoch(val) [33][700/2475] eta: 0:03:03 time: 0.1035 data_time: 0.0757 memory: 817 2022/07/30 11:32:45 - mmengine - INFO - Epoch(val) [33][720/2475] eta: 0:02:28 time: 0.0845 data_time: 0.0579 memory: 817 2022/07/30 11:32:47 - mmengine - INFO - Epoch(val) [33][740/2475] eta: 0:02:04 time: 0.0718 data_time: 0.0460 memory: 817 2022/07/30 11:32:50 - mmengine - INFO - Epoch(val) [33][760/2475] eta: 0:04:04 time: 0.1426 data_time: 0.1133 memory: 817 2022/07/30 11:32:51 - mmengine - INFO - Epoch(val) [33][780/2475] eta: 0:01:43 time: 0.0610 data_time: 0.0323 memory: 817 2022/07/30 11:32:53 - mmengine - INFO - Epoch(val) [33][800/2475] eta: 0:03:17 time: 0.1179 data_time: 0.0906 memory: 817 2022/07/30 11:32:55 - mmengine - INFO - Epoch(val) [33][820/2475] eta: 0:01:40 time: 0.0606 data_time: 0.0333 memory: 817 2022/07/30 11:32:56 - mmengine - INFO - Epoch(val) [33][840/2475] eta: 0:01:59 time: 0.0733 data_time: 0.0473 memory: 817 2022/07/30 11:32:58 - mmengine - INFO - Epoch(val) [33][860/2475] eta: 0:02:10 time: 0.0806 data_time: 0.0530 memory: 817 2022/07/30 11:33:00 - mmengine - INFO - Epoch(val) [33][880/2475] eta: 0:02:37 time: 0.0986 data_time: 0.0706 memory: 817 2022/07/30 11:33:01 - mmengine - INFO - Epoch(val) [33][900/2475] eta: 0:01:53 time: 0.0720 data_time: 0.0439 memory: 817 2022/07/30 11:33:03 - mmengine - INFO - Epoch(val) [33][920/2475] eta: 0:02:07 time: 0.0818 data_time: 0.0544 memory: 817 2022/07/30 11:33:04 - mmengine - INFO - Epoch(val) [33][940/2475] eta: 0:01:55 time: 0.0754 data_time: 0.0494 memory: 817 2022/07/30 11:33:06 - mmengine - INFO - Epoch(val) [33][960/2475] eta: 0:02:16 time: 0.0902 data_time: 0.0621 memory: 817 2022/07/30 11:33:08 - mmengine - INFO - Epoch(val) [33][980/2475] eta: 0:01:59 time: 0.0799 data_time: 0.0517 memory: 817 2022/07/30 11:33:09 - mmengine - INFO - Epoch(val) [33][1000/2475] eta: 0:02:04 time: 0.0843 data_time: 0.0563 memory: 817 2022/07/30 11:33:11 - mmengine - INFO - Epoch(val) [33][1020/2475] eta: 0:01:58 time: 0.0813 data_time: 0.0540 memory: 817 2022/07/30 11:33:12 - mmengine - INFO - Epoch(val) [33][1040/2475] eta: 0:01:36 time: 0.0674 data_time: 0.0402 memory: 817 2022/07/30 11:33:14 - mmengine - INFO - Epoch(val) [33][1060/2475] eta: 0:01:43 time: 0.0729 data_time: 0.0456 memory: 817 2022/07/30 11:33:16 - mmengine - INFO - Epoch(val) [33][1080/2475] eta: 0:02:09 time: 0.0925 data_time: 0.0653 memory: 817 2022/07/30 11:33:17 - mmengine - INFO - Epoch(val) [33][1100/2475] eta: 0:01:54 time: 0.0833 data_time: 0.0565 memory: 817 2022/07/30 11:33:19 - mmengine - INFO - Epoch(val) [33][1120/2475] eta: 0:02:04 time: 0.0916 data_time: 0.0607 memory: 817 2022/07/30 11:33:21 - mmengine - INFO - Epoch(val) [33][1140/2475] eta: 0:01:41 time: 0.0761 data_time: 0.0475 memory: 817 2022/07/30 11:33:22 - mmengine - INFO - Epoch(val) [33][1160/2475] eta: 0:01:35 time: 0.0729 data_time: 0.0459 memory: 817 2022/07/30 11:33:24 - mmengine - INFO - Epoch(val) [33][1180/2475] eta: 0:01:42 time: 0.0795 data_time: 0.0522 memory: 817 2022/07/30 11:33:25 - mmengine - INFO - Epoch(val) [33][1200/2475] eta: 0:01:32 time: 0.0727 data_time: 0.0457 memory: 817 2022/07/30 11:33:27 - mmengine - INFO - Epoch(val) [33][1220/2475] eta: 0:01:31 time: 0.0730 data_time: 0.0417 memory: 817 2022/07/30 11:33:28 - mmengine - INFO - Epoch(val) [33][1240/2475] eta: 0:01:46 time: 0.0864 data_time: 0.0596 memory: 817 2022/07/30 11:33:30 - mmengine - INFO - Epoch(val) [33][1260/2475] eta: 0:01:46 time: 0.0877 data_time: 0.0609 memory: 817 2022/07/30 11:33:32 - mmengine - INFO - Epoch(val) [33][1280/2475] eta: 0:01:26 time: 0.0721 data_time: 0.0444 memory: 817 2022/07/30 11:33:33 - mmengine - INFO - Epoch(val) [33][1300/2475] eta: 0:01:46 time: 0.0909 data_time: 0.0647 memory: 817 2022/07/30 11:33:36 - mmengine - INFO - Epoch(val) [33][1320/2475] eta: 0:02:34 time: 0.1334 data_time: 0.1072 memory: 817 2022/07/30 11:33:37 - mmengine - INFO - Epoch(val) [33][1340/2475] eta: 0:00:58 time: 0.0518 data_time: 0.0246 memory: 817 2022/07/30 11:33:39 - mmengine - INFO - Epoch(val) [33][1360/2475] eta: 0:01:34 time: 0.0847 data_time: 0.0487 memory: 817 2022/07/30 11:33:40 - mmengine - INFO - Epoch(val) [33][1380/2475] eta: 0:01:29 time: 0.0820 data_time: 0.0527 memory: 817 2022/07/30 11:33:42 - mmengine - INFO - Epoch(val) [33][1400/2475] eta: 0:01:28 time: 0.0826 data_time: 0.0545 memory: 817 2022/07/30 11:33:43 - mmengine - INFO - Epoch(val) [33][1420/2475] eta: 0:01:15 time: 0.0719 data_time: 0.0439 memory: 817 2022/07/30 11:33:46 - mmengine - INFO - Epoch(val) [33][1440/2475] eta: 0:01:48 time: 0.1052 data_time: 0.0770 memory: 817 2022/07/30 11:33:47 - mmengine - INFO - Epoch(val) [33][1460/2475] eta: 0:00:58 time: 0.0578 data_time: 0.0305 memory: 817 2022/07/30 11:33:49 - mmengine - INFO - Epoch(val) [33][1480/2475] eta: 0:01:34 time: 0.0951 data_time: 0.0676 memory: 817 2022/07/30 11:33:50 - mmengine - INFO - Epoch(val) [33][1500/2475] eta: 0:01:00 time: 0.0617 data_time: 0.0336 memory: 817 2022/07/30 11:33:52 - mmengine - INFO - Epoch(val) [33][1520/2475] eta: 0:01:30 time: 0.0953 data_time: 0.0671 memory: 817 2022/07/30 11:33:53 - mmengine - INFO - Epoch(val) [33][1540/2475] eta: 0:01:00 time: 0.0651 data_time: 0.0385 memory: 817 2022/07/30 11:33:55 - mmengine - INFO - Epoch(val) [33][1560/2475] eta: 0:01:34 time: 0.1030 data_time: 0.0764 memory: 817 2022/07/30 11:33:56 - mmengine - INFO - Epoch(val) [33][1580/2475] eta: 0:00:52 time: 0.0587 data_time: 0.0308 memory: 817 2022/07/30 11:33:58 - mmengine - INFO - Epoch(val) [33][1600/2475] eta: 0:01:18 time: 0.0893 data_time: 0.0603 memory: 817 2022/07/30 11:33:59 - mmengine - INFO - Epoch(val) [33][1620/2475] eta: 0:00:57 time: 0.0676 data_time: 0.0370 memory: 817 2022/07/30 11:34:01 - mmengine - INFO - Epoch(val) [33][1640/2475] eta: 0:01:14 time: 0.0888 data_time: 0.0597 memory: 817 2022/07/30 11:34:03 - mmengine - INFO - Epoch(val) [33][1660/2475] eta: 0:01:00 time: 0.0743 data_time: 0.0476 memory: 817 2022/07/30 11:34:05 - mmengine - INFO - Epoch(val) [33][1680/2475] eta: 0:01:11 time: 0.0895 data_time: 0.0616 memory: 817 2022/07/30 11:34:06 - mmengine - INFO - Epoch(val) [33][1700/2475] eta: 0:01:00 time: 0.0785 data_time: 0.0505 memory: 817 2022/07/30 11:34:08 - mmengine - INFO - Epoch(val) [33][1720/2475] eta: 0:01:13 time: 0.0978 data_time: 0.0710 memory: 817 2022/07/30 11:34:09 - mmengine - INFO - Epoch(val) [33][1740/2475] eta: 0:00:43 time: 0.0595 data_time: 0.0329 memory: 817 2022/07/30 11:34:11 - mmengine - INFO - Epoch(val) [33][1760/2475] eta: 0:01:05 time: 0.0912 data_time: 0.0648 memory: 817 2022/07/30 11:34:13 - mmengine - INFO - Epoch(val) [33][1780/2475] eta: 0:00:48 time: 0.0696 data_time: 0.0432 memory: 817 2022/07/30 11:34:14 - mmengine - INFO - Epoch(val) [33][1800/2475] eta: 0:01:04 time: 0.0950 data_time: 0.0681 memory: 817 2022/07/30 11:34:16 - mmengine - INFO - Epoch(val) [33][1820/2475] eta: 0:00:55 time: 0.0842 data_time: 0.0544 memory: 817 2022/07/30 11:34:18 - mmengine - INFO - Epoch(val) [33][1840/2475] eta: 0:00:51 time: 0.0816 data_time: 0.0522 memory: 817 2022/07/30 11:34:19 - mmengine - INFO - Epoch(val) [33][1860/2475] eta: 0:00:42 time: 0.0686 data_time: 0.0383 memory: 817 2022/07/30 11:34:21 - mmengine - INFO - Epoch(val) [33][1880/2475] eta: 0:00:53 time: 0.0892 data_time: 0.0607 memory: 817 2022/07/30 11:34:22 - mmengine - INFO - Epoch(val) [33][1900/2475] eta: 0:00:41 time: 0.0725 data_time: 0.0431 memory: 817 2022/07/30 11:34:24 - mmengine - INFO - Epoch(val) [33][1920/2475] eta: 0:00:41 time: 0.0751 data_time: 0.0474 memory: 817 2022/07/30 11:34:25 - mmengine - INFO - Epoch(val) [33][1940/2475] eta: 0:00:39 time: 0.0744 data_time: 0.0486 memory: 817 2022/07/30 11:34:27 - mmengine - INFO - Epoch(val) [33][1960/2475] eta: 0:00:43 time: 0.0842 data_time: 0.0562 memory: 817 2022/07/30 11:34:28 - mmengine - INFO - Epoch(val) [33][1980/2475] eta: 0:00:34 time: 0.0702 data_time: 0.0432 memory: 817 2022/07/30 11:34:30 - mmengine - INFO - Epoch(val) [33][2000/2475] eta: 0:00:39 time: 0.0826 data_time: 0.0545 memory: 817 2022/07/30 11:34:31 - mmengine - INFO - Epoch(val) [33][2020/2475] eta: 0:00:31 time: 0.0690 data_time: 0.0420 memory: 817 2022/07/30 11:34:33 - mmengine - INFO - Epoch(val) [33][2040/2475] eta: 0:00:42 time: 0.0978 data_time: 0.0706 memory: 817 2022/07/30 11:34:35 - mmengine - INFO - Epoch(val) [33][2060/2475] eta: 0:00:27 time: 0.0664 data_time: 0.0405 memory: 817 2022/07/30 11:34:37 - mmengine - INFO - Epoch(val) [33][2080/2475] eta: 0:00:38 time: 0.0971 data_time: 0.0705 memory: 817 2022/07/30 11:34:38 - mmengine - INFO - Epoch(val) [33][2100/2475] eta: 0:00:25 time: 0.0686 data_time: 0.0415 memory: 817 2022/07/30 11:34:40 - mmengine - INFO - Epoch(val) [33][2120/2475] eta: 0:00:29 time: 0.0819 data_time: 0.0512 memory: 817 2022/07/30 11:34:41 - mmengine - INFO - Epoch(val) [33][2140/2475] eta: 0:00:22 time: 0.0683 data_time: 0.0416 memory: 817 2022/07/30 11:34:43 - mmengine - INFO - Epoch(val) [33][2160/2475] eta: 0:00:25 time: 0.0821 data_time: 0.0540 memory: 817 2022/07/30 11:34:44 - mmengine - INFO - Epoch(val) [33][2180/2475] eta: 0:00:22 time: 0.0772 data_time: 0.0494 memory: 817 2022/07/30 11:34:46 - mmengine - INFO - Epoch(val) [33][2200/2475] eta: 0:00:28 time: 0.1025 data_time: 0.0731 memory: 817 2022/07/30 11:34:48 - mmengine - INFO - Epoch(val) [33][2220/2475] eta: 0:00:16 time: 0.0657 data_time: 0.0382 memory: 817 2022/07/30 11:34:50 - mmengine - INFO - Epoch(val) [33][2240/2475] eta: 0:00:22 time: 0.0941 data_time: 0.0663 memory: 817 2022/07/30 11:34:51 - mmengine - INFO - Epoch(val) [33][2260/2475] eta: 0:00:15 time: 0.0725 data_time: 0.0462 memory: 817 2022/07/30 11:34:53 - mmengine - INFO - Epoch(val) [33][2280/2475] eta: 0:00:16 time: 0.0844 data_time: 0.0568 memory: 817 2022/07/30 11:34:54 - mmengine - INFO - Epoch(val) [33][2300/2475] eta: 0:00:13 time: 0.0763 data_time: 0.0499 memory: 817 2022/07/30 11:34:56 - mmengine - INFO - Epoch(val) [33][2320/2475] eta: 0:00:13 time: 0.0899 data_time: 0.0629 memory: 817 2022/07/30 11:34:57 - mmengine - INFO - Epoch(val) [33][2340/2475] eta: 0:00:09 time: 0.0676 data_time: 0.0412 memory: 817 2022/07/30 11:34:59 - mmengine - INFO - Epoch(val) [33][2360/2475] eta: 0:00:10 time: 0.0887 data_time: 0.0537 memory: 817 2022/07/30 11:35:00 - mmengine - INFO - Epoch(val) [33][2380/2475] eta: 0:00:06 time: 0.0648 data_time: 0.0369 memory: 817 2022/07/30 11:35:03 - mmengine - INFO - Epoch(val) [33][2400/2475] eta: 0:00:08 time: 0.1176 data_time: 0.0900 memory: 817 2022/07/30 11:35:04 - mmengine - INFO - Epoch(val) [33][2420/2475] eta: 0:00:03 time: 0.0672 data_time: 0.0411 memory: 817 2022/07/30 11:35:06 - mmengine - INFO - Epoch(val) [33][2440/2475] eta: 0:00:02 time: 0.0779 data_time: 0.0507 memory: 817 2022/07/30 11:35:07 - mmengine - INFO - Epoch(val) [33][2460/2475] eta: 0:00:00 time: 0.0537 data_time: 0.0249 memory: 817 2022/07/30 11:35:09 - mmengine - INFO - Epoch(val) [33][2475/2475] acc/top1: 0.7512 acc/top5: 0.9168 acc/mean1: 0.7511 2022/07/30 11:35:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_25.pth is removed 2022/07/30 11:35:11 - mmengine - INFO - The best checkpoint with 0.7512 acc/top1 at 34 epoch is saved to best_acc/top1_epoch_34.pth. 2022/07/30 11:35:37 - mmengine - INFO - Epoch(train) [34][20/2505] lr: 5.0000e-05 eta: 17:17:17 time: 1.2985 data_time: 0.7035 memory: 32703 grad_norm: 17.9452 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9143 loss: 0.9143 2022/07/30 11:35:55 - mmengine - INFO - Epoch(train) [34][40/2505] lr: 5.0000e-05 eta: 17:16:55 time: 0.8926 data_time: 0.3050 memory: 32703 grad_norm: 18.0358 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8608 loss: 0.8608 2022/07/30 11:36:16 - mmengine - INFO - Epoch(train) [34][60/2505] lr: 5.0000e-05 eta: 17:16:37 time: 1.0814 data_time: 0.4358 memory: 32703 grad_norm: 18.1971 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1258 loss: 1.1258 2022/07/30 11:36:34 - mmengine - INFO - Epoch(train) [34][80/2505] lr: 5.0000e-05 eta: 17:16:16 time: 0.9061 data_time: 0.2403 memory: 32703 grad_norm: 18.5687 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2279 loss: 1.2279 2022/07/30 11:36:56 - mmengine - INFO - Epoch(train) [34][100/2505] lr: 5.0000e-05 eta: 17:15:57 time: 1.0975 data_time: 0.3461 memory: 32703 grad_norm: 18.1465 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1557 loss: 1.1557 2022/07/30 11:37:15 - mmengine - INFO - Epoch(train) [34][120/2505] lr: 5.0000e-05 eta: 17:15:36 time: 0.9134 data_time: 0.1766 memory: 32703 grad_norm: 18.5587 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9759 loss: 0.9759 2022/07/30 11:37:36 - mmengine - INFO - Epoch(train) [34][140/2505] lr: 5.0000e-05 eta: 17:15:17 time: 1.0416 data_time: 0.1396 memory: 32703 grad_norm: 17.8456 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1261 loss: 1.1261 2022/07/30 11:37:55 - mmengine - INFO - Epoch(train) [34][160/2505] lr: 5.0000e-05 eta: 17:14:56 time: 0.9496 data_time: 0.1092 memory: 32703 grad_norm: 17.7282 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1855 loss: 1.1855 2022/07/30 11:38:15 - mmengine - INFO - Epoch(train) [34][180/2505] lr: 5.0000e-05 eta: 17:14:37 time: 1.0370 data_time: 0.0847 memory: 32703 grad_norm: 17.3936 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0672 loss: 1.0672 2022/07/30 11:38:34 - mmengine - INFO - Epoch(train) [34][200/2505] lr: 5.0000e-05 eta: 17:14:16 time: 0.9217 data_time: 0.0804 memory: 32703 grad_norm: 17.7903 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0339 loss: 1.0339 2022/07/30 11:38:54 - mmengine - INFO - Epoch(train) [34][220/2505] lr: 5.0000e-05 eta: 17:13:57 time: 1.0322 data_time: 0.0296 memory: 32703 grad_norm: 18.1600 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.2058 loss: 1.2058 2022/07/30 11:39:13 - mmengine - INFO - Epoch(train) [34][240/2505] lr: 5.0000e-05 eta: 17:13:36 time: 0.9470 data_time: 0.0278 memory: 32703 grad_norm: 17.7469 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0054 loss: 1.0054 2022/07/30 11:39:34 - mmengine - INFO - Epoch(train) [34][260/2505] lr: 5.0000e-05 eta: 17:13:17 time: 1.0482 data_time: 0.0274 memory: 32703 grad_norm: 17.5476 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0125 loss: 1.0125 2022/07/30 11:39:52 - mmengine - INFO - Epoch(train) [34][280/2505] lr: 5.0000e-05 eta: 17:12:56 time: 0.9078 data_time: 0.0278 memory: 32703 grad_norm: 17.4554 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.8561 loss: 0.8561 2022/07/30 11:40:14 - mmengine - INFO - Epoch(train) [34][300/2505] lr: 5.0000e-05 eta: 17:12:37 time: 1.0815 data_time: 0.0268 memory: 32703 grad_norm: 18.6454 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9588 loss: 0.9588 2022/07/30 11:40:32 - mmengine - INFO - Epoch(train) [34][320/2505] lr: 5.0000e-05 eta: 17:12:16 time: 0.9131 data_time: 0.0293 memory: 32703 grad_norm: 18.1036 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0674 loss: 1.0674 2022/07/30 11:40:48 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 11:40:55 - mmengine - INFO - Epoch(train) [34][340/2505] lr: 5.0000e-05 eta: 17:11:58 time: 1.1119 data_time: 0.0291 memory: 32703 grad_norm: 18.6890 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0098 loss: 1.0098 2022/07/30 11:41:12 - mmengine - INFO - Epoch(train) [34][360/2505] lr: 5.0000e-05 eta: 17:11:37 time: 0.8755 data_time: 0.0249 memory: 32703 grad_norm: 18.4741 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0329 loss: 1.0329 2022/07/30 11:41:34 - mmengine - INFO - Epoch(train) [34][380/2505] lr: 5.0000e-05 eta: 17:11:18 time: 1.0776 data_time: 0.0288 memory: 32703 grad_norm: 18.2277 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0900 loss: 1.0900 2022/07/30 11:41:53 - mmengine - INFO - Epoch(train) [34][400/2505] lr: 5.0000e-05 eta: 17:10:57 time: 0.9457 data_time: 0.0270 memory: 32703 grad_norm: 17.8678 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9800 loss: 0.9800 2022/07/30 11:42:12 - mmengine - INFO - Epoch(train) [34][420/2505] lr: 5.0000e-05 eta: 17:10:37 time: 0.9810 data_time: 0.0326 memory: 32703 grad_norm: 18.0955 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2494 loss: 1.2494 2022/07/30 11:42:31 - mmengine - INFO - Epoch(train) [34][440/2505] lr: 5.0000e-05 eta: 17:10:17 time: 0.9511 data_time: 0.0286 memory: 32703 grad_norm: 17.8739 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3076 loss: 1.3076 2022/07/30 11:42:52 - mmengine - INFO - Epoch(train) [34][460/2505] lr: 5.0000e-05 eta: 17:09:57 time: 1.0296 data_time: 0.0302 memory: 32703 grad_norm: 18.4101 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1491 loss: 1.1491 2022/07/30 11:43:09 - mmengine - INFO - Epoch(train) [34][480/2505] lr: 5.0000e-05 eta: 17:09:36 time: 0.8621 data_time: 0.0276 memory: 32703 grad_norm: 18.9247 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1666 loss: 1.1666 2022/07/30 11:43:32 - mmengine - INFO - Epoch(train) [34][500/2505] lr: 5.0000e-05 eta: 17:09:18 time: 1.1460 data_time: 0.0299 memory: 32703 grad_norm: 19.1818 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8750 loss: 0.8750 2022/07/30 11:43:49 - mmengine - INFO - Epoch(train) [34][520/2505] lr: 5.0000e-05 eta: 17:08:56 time: 0.8341 data_time: 0.0260 memory: 32703 grad_norm: 18.4253 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2399 loss: 1.2399 2022/07/30 11:44:11 - mmengine - INFO - Epoch(train) [34][540/2505] lr: 5.0000e-05 eta: 17:08:37 time: 1.0946 data_time: 0.0339 memory: 32703 grad_norm: 18.0250 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0396 loss: 1.0396 2022/07/30 11:44:29 - mmengine - INFO - Epoch(train) [34][560/2505] lr: 5.0000e-05 eta: 17:08:16 time: 0.9028 data_time: 0.0278 memory: 32703 grad_norm: 18.1041 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1299 loss: 1.1299 2022/07/30 11:44:50 - mmengine - INFO - Epoch(train) [34][580/2505] lr: 5.0000e-05 eta: 17:07:57 time: 1.0434 data_time: 0.0283 memory: 32703 grad_norm: 17.9557 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0344 loss: 1.0344 2022/07/30 11:45:08 - mmengine - INFO - Epoch(train) [34][600/2505] lr: 5.0000e-05 eta: 17:07:36 time: 0.9365 data_time: 0.0294 memory: 32703 grad_norm: 17.9205 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2726 loss: 1.2726 2022/07/30 11:45:29 - mmengine - INFO - Epoch(train) [34][620/2505] lr: 5.0000e-05 eta: 17:07:17 time: 1.0357 data_time: 0.0306 memory: 32703 grad_norm: 18.6110 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1422 loss: 1.1422 2022/07/30 11:45:48 - mmengine - INFO - Epoch(train) [34][640/2505] lr: 5.0000e-05 eta: 17:06:56 time: 0.9550 data_time: 0.0380 memory: 32703 grad_norm: 18.0772 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8414 loss: 0.8414 2022/07/30 11:46:08 - mmengine - INFO - Epoch(train) [34][660/2505] lr: 5.0000e-05 eta: 17:06:37 time: 0.9988 data_time: 0.0548 memory: 32703 grad_norm: 18.2565 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1655 loss: 1.1655 2022/07/30 11:46:27 - mmengine - INFO - Epoch(train) [34][680/2505] lr: 5.0000e-05 eta: 17:06:16 time: 0.9401 data_time: 0.0249 memory: 32703 grad_norm: 18.1777 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1698 loss: 1.1698 2022/07/30 11:46:48 - mmengine - INFO - Epoch(train) [34][700/2505] lr: 5.0000e-05 eta: 17:05:57 time: 1.0456 data_time: 0.0286 memory: 32703 grad_norm: 18.1516 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0552 loss: 1.0552 2022/07/30 11:47:06 - mmengine - INFO - Epoch(train) [34][720/2505] lr: 5.0000e-05 eta: 17:05:36 time: 0.9297 data_time: 0.0320 memory: 32703 grad_norm: 17.5680 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0409 loss: 1.0409 2022/07/30 11:47:28 - mmengine - INFO - Epoch(train) [34][740/2505] lr: 5.0000e-05 eta: 17:05:17 time: 1.0717 data_time: 0.0552 memory: 32703 grad_norm: 17.7172 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0118 loss: 1.0118 2022/07/30 11:47:46 - mmengine - INFO - Epoch(train) [34][760/2505] lr: 5.0000e-05 eta: 17:04:56 time: 0.9225 data_time: 0.0591 memory: 32703 grad_norm: 17.9507 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0409 loss: 1.0409 2022/07/30 11:48:08 - mmengine - INFO - Epoch(train) [34][780/2505] lr: 5.0000e-05 eta: 17:04:37 time: 1.0677 data_time: 0.0815 memory: 32703 grad_norm: 18.0049 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0428 loss: 1.0428 2022/07/30 11:48:26 - mmengine - INFO - Epoch(train) [34][800/2505] lr: 5.0000e-05 eta: 17:04:16 time: 0.9094 data_time: 0.0562 memory: 32703 grad_norm: 18.4951 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1310 loss: 1.1310 2022/07/30 11:48:47 - mmengine - INFO - Epoch(train) [34][820/2505] lr: 5.0000e-05 eta: 17:03:57 time: 1.0605 data_time: 0.1024 memory: 32703 grad_norm: 17.5756 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.1987 loss: 1.1987 2022/07/30 11:49:05 - mmengine - INFO - Epoch(train) [34][840/2505] lr: 5.0000e-05 eta: 17:03:36 time: 0.9098 data_time: 0.0489 memory: 32703 grad_norm: 17.9276 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2268 loss: 1.2268 2022/07/30 11:49:27 - mmengine - INFO - Epoch(train) [34][860/2505] lr: 5.0000e-05 eta: 17:03:18 time: 1.0670 data_time: 0.0406 memory: 32703 grad_norm: 18.3003 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1521 loss: 1.1521 2022/07/30 11:49:45 - mmengine - INFO - Epoch(train) [34][880/2505] lr: 5.0000e-05 eta: 17:02:57 time: 0.9357 data_time: 0.0302 memory: 32703 grad_norm: 17.5164 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0949 loss: 1.0949 2022/07/30 11:50:06 - mmengine - INFO - Epoch(train) [34][900/2505] lr: 5.0000e-05 eta: 17:02:37 time: 1.0138 data_time: 0.0578 memory: 32703 grad_norm: 17.8344 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0502 loss: 1.0502 2022/07/30 11:50:24 - mmengine - INFO - Epoch(train) [34][920/2505] lr: 5.0000e-05 eta: 17:02:16 time: 0.9006 data_time: 0.0554 memory: 32703 grad_norm: 18.9704 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0017 loss: 1.0017 2022/07/30 11:50:45 - mmengine - INFO - Epoch(train) [34][940/2505] lr: 5.0000e-05 eta: 17:01:57 time: 1.0690 data_time: 0.1387 memory: 32703 grad_norm: 18.9078 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1971 loss: 1.1971 2022/07/30 11:51:04 - mmengine - INFO - Epoch(train) [34][960/2505] lr: 5.0000e-05 eta: 17:01:36 time: 0.9397 data_time: 0.1882 memory: 32703 grad_norm: 17.8016 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9622 loss: 0.9622 2022/07/30 11:51:24 - mmengine - INFO - Epoch(train) [34][980/2505] lr: 5.0000e-05 eta: 17:01:17 time: 1.0227 data_time: 0.2855 memory: 32703 grad_norm: 18.3012 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9477 loss: 0.9477 2022/07/30 11:51:43 - mmengine - INFO - Epoch(train) [34][1000/2505] lr: 5.0000e-05 eta: 17:00:56 time: 0.9255 data_time: 0.1800 memory: 32703 grad_norm: 18.0471 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1867 loss: 1.1867 2022/07/30 11:52:04 - mmengine - INFO - Epoch(train) [34][1020/2505] lr: 5.0000e-05 eta: 17:00:37 time: 1.0521 data_time: 0.2184 memory: 32703 grad_norm: 17.2126 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1253 loss: 1.1253 2022/07/30 11:52:22 - mmengine - INFO - Epoch(train) [34][1040/2505] lr: 5.0000e-05 eta: 17:00:16 time: 0.9152 data_time: 0.0762 memory: 32703 grad_norm: 18.0533 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1646 loss: 1.1646 2022/07/30 11:52:43 - mmengine - INFO - Epoch(train) [34][1060/2505] lr: 5.0000e-05 eta: 16:59:57 time: 1.0430 data_time: 0.0313 memory: 32703 grad_norm: 18.5050 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1807 loss: 1.1807 2022/07/30 11:53:00 - mmengine - INFO - Epoch(train) [34][1080/2505] lr: 5.0000e-05 eta: 16:59:35 time: 0.8607 data_time: 0.0285 memory: 32703 grad_norm: 18.0829 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2045 loss: 1.2045 2022/07/30 11:53:22 - mmengine - INFO - Epoch(train) [34][1100/2505] lr: 5.0000e-05 eta: 16:59:17 time: 1.0965 data_time: 0.0314 memory: 32703 grad_norm: 17.4032 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1365 loss: 1.1365 2022/07/30 11:53:40 - mmengine - INFO - Epoch(train) [34][1120/2505] lr: 5.0000e-05 eta: 16:58:55 time: 0.8950 data_time: 0.0328 memory: 32703 grad_norm: 17.7764 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9479 loss: 0.9479 2022/07/30 11:54:02 - mmengine - INFO - Epoch(train) [34][1140/2505] lr: 5.0000e-05 eta: 16:58:37 time: 1.0902 data_time: 0.0333 memory: 32703 grad_norm: 18.7164 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0398 loss: 1.0398 2022/07/30 11:54:20 - mmengine - INFO - Epoch(train) [34][1160/2505] lr: 5.0000e-05 eta: 16:58:16 time: 0.9041 data_time: 0.0265 memory: 32703 grad_norm: 18.2413 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0407 loss: 1.0407 2022/07/30 11:54:43 - mmengine - INFO - Epoch(train) [34][1180/2505] lr: 5.0000e-05 eta: 16:57:58 time: 1.1392 data_time: 0.0299 memory: 32703 grad_norm: 17.9027 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9530 loss: 0.9530 2022/07/30 11:54:59 - mmengine - INFO - Epoch(train) [34][1200/2505] lr: 5.0000e-05 eta: 16:57:36 time: 0.8313 data_time: 0.0295 memory: 32703 grad_norm: 17.9800 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1182 loss: 1.1182 2022/07/30 11:55:21 - mmengine - INFO - Epoch(train) [34][1220/2505] lr: 5.0000e-05 eta: 16:57:17 time: 1.0800 data_time: 0.0294 memory: 32703 grad_norm: 18.4163 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0862 loss: 1.0862 2022/07/30 11:55:39 - mmengine - INFO - Epoch(train) [34][1240/2505] lr: 5.0000e-05 eta: 16:56:56 time: 0.9160 data_time: 0.0278 memory: 32703 grad_norm: 17.0718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1585 loss: 1.1585 2022/07/30 11:56:00 - mmengine - INFO - Epoch(train) [34][1260/2505] lr: 5.0000e-05 eta: 16:56:37 time: 1.0550 data_time: 0.0289 memory: 32703 grad_norm: 17.6942 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8994 loss: 0.8994 2022/07/30 11:56:19 - mmengine - INFO - Epoch(train) [34][1280/2505] lr: 5.0000e-05 eta: 16:56:16 time: 0.9157 data_time: 0.0300 memory: 32703 grad_norm: 18.3019 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0487 loss: 1.0487 2022/07/30 11:56:40 - mmengine - INFO - Epoch(train) [34][1300/2505] lr: 5.0000e-05 eta: 16:55:57 time: 1.0517 data_time: 0.0278 memory: 32703 grad_norm: 18.7391 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0202 loss: 1.0202 2022/07/30 11:56:59 - mmengine - INFO - Epoch(train) [34][1320/2505] lr: 5.0000e-05 eta: 16:55:36 time: 0.9389 data_time: 0.0313 memory: 32703 grad_norm: 18.3545 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1286 loss: 1.1286 2022/07/30 11:57:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 11:57:20 - mmengine - INFO - Epoch(train) [34][1340/2505] lr: 5.0000e-05 eta: 16:55:17 time: 1.0526 data_time: 0.0300 memory: 32703 grad_norm: 18.1726 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2377 loss: 1.2377 2022/07/30 11:57:38 - mmengine - INFO - Epoch(train) [34][1360/2505] lr: 5.0000e-05 eta: 16:54:56 time: 0.9015 data_time: 0.0274 memory: 32703 grad_norm: 16.7332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9848 loss: 0.9848 2022/07/30 11:57:58 - mmengine - INFO - Epoch(train) [34][1380/2505] lr: 5.0000e-05 eta: 16:54:37 time: 1.0351 data_time: 0.1123 memory: 32703 grad_norm: 18.6586 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.3037 loss: 1.3037 2022/07/30 11:58:18 - mmengine - INFO - Epoch(train) [34][1400/2505] lr: 5.0000e-05 eta: 16:54:17 time: 0.9689 data_time: 0.0374 memory: 32703 grad_norm: 18.4911 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0154 loss: 1.0154 2022/07/30 11:58:38 - mmengine - INFO - Epoch(train) [34][1420/2505] lr: 5.0000e-05 eta: 16:53:57 time: 1.0132 data_time: 0.0276 memory: 32703 grad_norm: 18.0017 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1918 loss: 1.1918 2022/07/30 11:58:57 - mmengine - INFO - Epoch(train) [34][1440/2505] lr: 5.0000e-05 eta: 16:53:36 time: 0.9549 data_time: 0.0326 memory: 32703 grad_norm: 17.9818 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0036 loss: 1.0036 2022/07/30 11:59:17 - mmengine - INFO - Epoch(train) [34][1460/2505] lr: 5.0000e-05 eta: 16:53:16 time: 0.9725 data_time: 0.0321 memory: 32703 grad_norm: 18.1760 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2719 loss: 1.2719 2022/07/30 11:59:37 - mmengine - INFO - Epoch(train) [34][1480/2505] lr: 5.0000e-05 eta: 16:52:57 time: 1.0152 data_time: 0.0266 memory: 32703 grad_norm: 17.7576 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0975 loss: 1.0975 2022/07/30 11:59:56 - mmengine - INFO - Epoch(train) [34][1500/2505] lr: 5.0000e-05 eta: 16:52:36 time: 0.9574 data_time: 0.0292 memory: 32703 grad_norm: 18.6537 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0327 loss: 1.0327 2022/07/30 12:00:17 - mmengine - INFO - Epoch(train) [34][1520/2505] lr: 5.0000e-05 eta: 16:52:17 time: 1.0534 data_time: 0.0307 memory: 32703 grad_norm: 18.6494 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0312 loss: 1.0312 2022/07/30 12:00:37 - mmengine - INFO - Epoch(train) [34][1540/2505] lr: 5.0000e-05 eta: 16:51:57 time: 0.9750 data_time: 0.0357 memory: 32703 grad_norm: 18.2635 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0494 loss: 1.0494 2022/07/30 12:00:56 - mmengine - INFO - Epoch(train) [34][1560/2505] lr: 5.0000e-05 eta: 16:51:37 time: 0.9467 data_time: 0.0312 memory: 32703 grad_norm: 19.0123 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9682 loss: 0.9682 2022/07/30 12:01:16 - mmengine - INFO - Epoch(train) [34][1580/2505] lr: 5.0000e-05 eta: 16:51:17 time: 1.0271 data_time: 0.0369 memory: 32703 grad_norm: 17.8938 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.4195 loss: 1.4195 2022/07/30 12:01:34 - mmengine - INFO - Epoch(train) [34][1600/2505] lr: 5.0000e-05 eta: 16:50:56 time: 0.9185 data_time: 0.0247 memory: 32703 grad_norm: 17.7582 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0862 loss: 1.0862 2022/07/30 12:01:57 - mmengine - INFO - Epoch(train) [34][1620/2505] lr: 5.0000e-05 eta: 16:50:38 time: 1.1009 data_time: 0.0283 memory: 32703 grad_norm: 18.0947 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1761 loss: 1.1761 2022/07/30 12:02:15 - mmengine - INFO - Epoch(train) [34][1640/2505] lr: 5.0000e-05 eta: 16:50:17 time: 0.9278 data_time: 0.0262 memory: 32703 grad_norm: 17.4252 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1101 loss: 1.1101 2022/07/30 12:02:36 - mmengine - INFO - Epoch(train) [34][1660/2505] lr: 5.0000e-05 eta: 16:49:58 time: 1.0454 data_time: 0.0316 memory: 32703 grad_norm: 16.7660 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9404 loss: 0.9404 2022/07/30 12:02:55 - mmengine - INFO - Epoch(train) [34][1680/2505] lr: 5.0000e-05 eta: 16:49:37 time: 0.9298 data_time: 0.0325 memory: 32703 grad_norm: 18.1272 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9206 loss: 0.9206 2022/07/30 12:03:16 - mmengine - INFO - Epoch(train) [34][1700/2505] lr: 5.0000e-05 eta: 16:49:19 time: 1.0896 data_time: 0.0271 memory: 32703 grad_norm: 18.8051 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1456 loss: 1.1456 2022/07/30 12:03:35 - mmengine - INFO - Epoch(train) [34][1720/2505] lr: 5.0000e-05 eta: 16:48:58 time: 0.9263 data_time: 0.0353 memory: 32703 grad_norm: 17.9390 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0470 loss: 1.0470 2022/07/30 12:03:56 - mmengine - INFO - Epoch(train) [34][1740/2505] lr: 5.0000e-05 eta: 16:48:39 time: 1.0535 data_time: 0.0310 memory: 32703 grad_norm: 18.0423 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1302 loss: 1.1302 2022/07/30 12:04:14 - mmengine - INFO - Epoch(train) [34][1760/2505] lr: 5.0000e-05 eta: 16:48:17 time: 0.8943 data_time: 0.0257 memory: 32703 grad_norm: 18.7525 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1994 loss: 1.1994 2022/07/30 12:04:35 - mmengine - INFO - Epoch(train) [34][1780/2505] lr: 5.0000e-05 eta: 16:47:58 time: 1.0573 data_time: 0.0374 memory: 32703 grad_norm: 17.9838 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1829 loss: 1.1829 2022/07/30 12:04:53 - mmengine - INFO - Epoch(train) [34][1800/2505] lr: 5.0000e-05 eta: 16:47:37 time: 0.8771 data_time: 0.0353 memory: 32703 grad_norm: 18.0411 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.2524 loss: 1.2524 2022/07/30 12:05:15 - mmengine - INFO - Epoch(train) [34][1820/2505] lr: 5.0000e-05 eta: 16:47:19 time: 1.1029 data_time: 0.0264 memory: 32703 grad_norm: 18.4221 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2278 loss: 1.2278 2022/07/30 12:05:33 - mmengine - INFO - Epoch(train) [34][1840/2505] lr: 5.0000e-05 eta: 16:46:57 time: 0.9063 data_time: 0.0326 memory: 32703 grad_norm: 17.2216 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9726 loss: 0.9726 2022/07/30 12:05:54 - mmengine - INFO - Epoch(train) [34][1860/2505] lr: 5.0000e-05 eta: 16:46:39 time: 1.0837 data_time: 0.0289 memory: 32703 grad_norm: 17.3865 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0777 loss: 1.0777 2022/07/30 12:06:12 - mmengine - INFO - Epoch(train) [34][1880/2505] lr: 5.0000e-05 eta: 16:46:18 time: 0.8959 data_time: 0.0481 memory: 32703 grad_norm: 18.1188 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0432 loss: 1.0432 2022/07/30 12:06:34 - mmengine - INFO - Epoch(train) [34][1900/2505] lr: 5.0000e-05 eta: 16:45:59 time: 1.0676 data_time: 0.0341 memory: 32703 grad_norm: 18.1754 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0349 loss: 1.0349 2022/07/30 12:06:51 - mmengine - INFO - Epoch(train) [34][1920/2505] lr: 5.0000e-05 eta: 16:45:37 time: 0.8619 data_time: 0.0247 memory: 32703 grad_norm: 18.2364 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0912 loss: 1.0912 2022/07/30 12:07:11 - mmengine - INFO - Epoch(train) [34][1940/2505] lr: 5.0000e-05 eta: 16:45:17 time: 1.0054 data_time: 0.0289 memory: 32703 grad_norm: 18.0009 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9087 loss: 0.9087 2022/07/30 12:07:29 - mmengine - INFO - Epoch(train) [34][1960/2505] lr: 5.0000e-05 eta: 16:44:56 time: 0.8752 data_time: 0.0289 memory: 32703 grad_norm: 17.3900 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.1631 loss: 1.1631 2022/07/30 12:07:51 - mmengine - INFO - Epoch(train) [34][1980/2505] lr: 5.0000e-05 eta: 16:44:37 time: 1.0992 data_time: 0.0294 memory: 32703 grad_norm: 18.0325 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9551 loss: 0.9551 2022/07/30 12:08:10 - mmengine - INFO - Epoch(train) [34][2000/2505] lr: 5.0000e-05 eta: 16:44:17 time: 0.9566 data_time: 0.0373 memory: 32703 grad_norm: 18.1867 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0573 loss: 1.0573 2022/07/30 12:08:31 - mmengine - INFO - Epoch(train) [34][2020/2505] lr: 5.0000e-05 eta: 16:43:58 time: 1.0435 data_time: 0.0347 memory: 32703 grad_norm: 17.3141 top1_acc: 0.3333 top5_acc: 0.5000 loss_cls: 0.9829 loss: 0.9829 2022/07/30 12:08:50 - mmengine - INFO - Epoch(train) [34][2040/2505] lr: 5.0000e-05 eta: 16:43:38 time: 0.9857 data_time: 0.0288 memory: 32703 grad_norm: 18.0970 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9966 loss: 0.9966 2022/07/30 12:09:11 - mmengine - INFO - Epoch(train) [34][2060/2505] lr: 5.0000e-05 eta: 16:43:18 time: 1.0226 data_time: 0.0313 memory: 32703 grad_norm: 18.1954 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1165 loss: 1.1165 2022/07/30 12:09:28 - mmengine - INFO - Epoch(train) [34][2080/2505] lr: 5.0000e-05 eta: 16:42:57 time: 0.8663 data_time: 0.0295 memory: 32703 grad_norm: 18.0340 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.0554 loss: 1.0554 2022/07/30 12:09:49 - mmengine - INFO - Epoch(train) [34][2100/2505] lr: 5.0000e-05 eta: 16:42:37 time: 1.0436 data_time: 0.0283 memory: 32703 grad_norm: 18.0859 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1320 loss: 1.1320 2022/07/30 12:10:08 - mmengine - INFO - Epoch(train) [34][2120/2505] lr: 5.0000e-05 eta: 16:42:17 time: 0.9552 data_time: 0.0250 memory: 32703 grad_norm: 17.7863 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1557 loss: 1.1557 2022/07/30 12:10:28 - mmengine - INFO - Epoch(train) [34][2140/2505] lr: 5.0000e-05 eta: 16:41:57 time: 1.0109 data_time: 0.0300 memory: 32703 grad_norm: 18.2899 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1091 loss: 1.1091 2022/07/30 12:10:48 - mmengine - INFO - Epoch(train) [34][2160/2505] lr: 5.0000e-05 eta: 16:41:37 time: 0.9599 data_time: 0.0252 memory: 32703 grad_norm: 18.7937 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1954 loss: 1.1954 2022/07/30 12:11:08 - mmengine - INFO - Epoch(train) [34][2180/2505] lr: 5.0000e-05 eta: 16:41:17 time: 1.0128 data_time: 0.0311 memory: 32703 grad_norm: 18.2015 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1550 loss: 1.1550 2022/07/30 12:11:27 - mmengine - INFO - Epoch(train) [34][2200/2505] lr: 5.0000e-05 eta: 16:40:57 time: 0.9464 data_time: 0.0277 memory: 32703 grad_norm: 17.7280 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8917 loss: 0.8917 2022/07/30 12:11:47 - mmengine - INFO - Epoch(train) [34][2220/2505] lr: 5.0000e-05 eta: 16:40:37 time: 0.9871 data_time: 0.0284 memory: 32703 grad_norm: 17.5927 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0249 loss: 1.0249 2022/07/30 12:12:04 - mmengine - INFO - Epoch(train) [34][2240/2505] lr: 5.0000e-05 eta: 16:40:15 time: 0.8924 data_time: 0.0328 memory: 32703 grad_norm: 19.3042 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1230 loss: 1.1230 2022/07/30 12:12:25 - mmengine - INFO - Epoch(train) [34][2260/2505] lr: 5.0000e-05 eta: 16:39:56 time: 1.0211 data_time: 0.0480 memory: 32703 grad_norm: 18.0293 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9432 loss: 0.9432 2022/07/30 12:12:44 - mmengine - INFO - Epoch(train) [34][2280/2505] lr: 5.0000e-05 eta: 16:39:35 time: 0.9520 data_time: 0.0658 memory: 32703 grad_norm: 17.5144 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.0689 loss: 1.0689 2022/07/30 12:13:04 - mmengine - INFO - Epoch(train) [34][2300/2505] lr: 5.0000e-05 eta: 16:39:16 time: 1.0150 data_time: 0.1454 memory: 32703 grad_norm: 18.4723 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1936 loss: 1.1936 2022/07/30 12:13:24 - mmengine - INFO - Epoch(train) [34][2320/2505] lr: 5.0000e-05 eta: 16:38:56 time: 1.0057 data_time: 0.1224 memory: 32703 grad_norm: 18.1712 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1212 loss: 1.1212 2022/07/30 12:13:39 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 12:13:45 - mmengine - INFO - Epoch(train) [34][2340/2505] lr: 5.0000e-05 eta: 16:38:37 time: 1.0248 data_time: 0.2960 memory: 32703 grad_norm: 18.6203 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8550 loss: 0.8550 2022/07/30 12:14:02 - mmengine - INFO - Epoch(train) [34][2360/2505] lr: 5.0000e-05 eta: 16:38:15 time: 0.8788 data_time: 0.1551 memory: 32703 grad_norm: 18.0152 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1140 loss: 1.1140 2022/07/30 12:14:23 - mmengine - INFO - Epoch(train) [34][2380/2505] lr: 5.0000e-05 eta: 16:37:55 time: 1.0022 data_time: 0.1428 memory: 32703 grad_norm: 18.6851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9260 loss: 0.9260 2022/07/30 12:14:41 - mmengine - INFO - Epoch(train) [34][2400/2505] lr: 5.0000e-05 eta: 16:37:35 time: 0.9342 data_time: 0.0691 memory: 32703 grad_norm: 18.0604 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2265 loss: 1.2265 2022/07/30 12:15:02 - mmengine - INFO - Epoch(train) [34][2420/2505] lr: 5.0000e-05 eta: 16:37:16 time: 1.0567 data_time: 0.0614 memory: 32703 grad_norm: 17.8700 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0896 loss: 1.0896 2022/07/30 12:15:22 - mmengine - INFO - Epoch(train) [34][2440/2505] lr: 5.0000e-05 eta: 16:36:56 time: 0.9884 data_time: 0.2116 memory: 32703 grad_norm: 18.4992 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1769 loss: 1.1769 2022/07/30 12:15:41 - mmengine - INFO - Epoch(train) [34][2460/2505] lr: 5.0000e-05 eta: 16:36:35 time: 0.9575 data_time: 0.2286 memory: 32703 grad_norm: 18.5474 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0508 loss: 1.0508 2022/07/30 12:16:02 - mmengine - INFO - Epoch(train) [34][2480/2505] lr: 5.0000e-05 eta: 16:36:16 time: 1.0477 data_time: 0.3213 memory: 32703 grad_norm: 18.5998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1919 loss: 1.1919 2022/07/30 12:16:20 - mmengine - INFO - Epoch(train) [34][2500/2505] lr: 5.0000e-05 eta: 16:35:55 time: 0.8812 data_time: 0.2636 memory: 32703 grad_norm: 17.9882 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9536 loss: 0.9536 2022/07/30 12:16:23 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 12:16:23 - mmengine - INFO - Epoch(train) [34][2505/2505] lr: 5.0000e-05 eta: 16:35:55 time: 0.8292 data_time: 0.2548 memory: 32703 grad_norm: 17.6952 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9580 loss: 0.9580 2022/07/30 12:16:23 - mmengine - INFO - Saving checkpoint at 34 epochs 2022/07/30 12:16:51 - mmengine - INFO - Epoch(train) [35][20/2505] lr: 5.0000e-05 eta: 16:35:31 time: 1.3174 data_time: 0.7131 memory: 32703 grad_norm: 18.8822 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.1006 loss: 1.1006 2022/07/30 12:17:09 - mmengine - INFO - Epoch(train) [35][40/2505] lr: 5.0000e-05 eta: 16:35:10 time: 0.9072 data_time: 0.3032 memory: 32703 grad_norm: 18.6823 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1608 loss: 1.1608 2022/07/30 12:17:31 - mmengine - INFO - Epoch(train) [35][60/2505] lr: 5.0000e-05 eta: 16:34:51 time: 1.0755 data_time: 0.4543 memory: 32703 grad_norm: 18.3035 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9278 loss: 0.9278 2022/07/30 12:17:48 - mmengine - INFO - Epoch(train) [35][80/2505] lr: 5.0000e-05 eta: 16:34:30 time: 0.8809 data_time: 0.2766 memory: 32703 grad_norm: 17.1137 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.0403 loss: 1.0403 2022/07/30 12:18:10 - mmengine - INFO - Epoch(train) [35][100/2505] lr: 5.0000e-05 eta: 16:34:11 time: 1.0676 data_time: 0.4761 memory: 32703 grad_norm: 18.3973 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0082 loss: 1.0082 2022/07/30 12:18:28 - mmengine - INFO - Epoch(train) [35][120/2505] lr: 5.0000e-05 eta: 16:33:50 time: 0.9301 data_time: 0.3196 memory: 32703 grad_norm: 18.0650 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0773 loss: 1.0773 2022/07/30 12:18:49 - mmengine - INFO - Epoch(train) [35][140/2505] lr: 5.0000e-05 eta: 16:33:31 time: 1.0365 data_time: 0.4251 memory: 32703 grad_norm: 18.3945 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2018 loss: 1.2018 2022/07/30 12:19:07 - mmengine - INFO - Epoch(train) [35][160/2505] lr: 5.0000e-05 eta: 16:33:10 time: 0.9074 data_time: 0.3068 memory: 32703 grad_norm: 18.2670 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9074 loss: 0.9074 2022/07/30 12:19:29 - mmengine - INFO - Epoch(train) [35][180/2505] lr: 5.0000e-05 eta: 16:32:51 time: 1.0898 data_time: 0.4118 memory: 32703 grad_norm: 18.7704 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1586 loss: 1.1586 2022/07/30 12:19:48 - mmengine - INFO - Epoch(train) [35][200/2505] lr: 5.0000e-05 eta: 16:32:30 time: 0.9286 data_time: 0.2016 memory: 32703 grad_norm: 17.9968 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9040 loss: 0.9040 2022/07/30 12:20:09 - mmengine - INFO - Epoch(train) [35][220/2505] lr: 5.0000e-05 eta: 16:32:11 time: 1.0507 data_time: 0.2655 memory: 32703 grad_norm: 18.0407 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1338 loss: 1.1338 2022/07/30 12:20:27 - mmengine - INFO - Epoch(train) [35][240/2505] lr: 5.0000e-05 eta: 16:31:50 time: 0.8989 data_time: 0.1989 memory: 32703 grad_norm: 18.6187 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0827 loss: 1.0827 2022/07/30 12:20:48 - mmengine - INFO - Epoch(train) [35][260/2505] lr: 5.0000e-05 eta: 16:31:31 time: 1.0578 data_time: 0.2635 memory: 32703 grad_norm: 17.5597 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9092 loss: 0.9092 2022/07/30 12:21:07 - mmengine - INFO - Epoch(train) [35][280/2505] lr: 5.0000e-05 eta: 16:31:11 time: 0.9418 data_time: 0.1357 memory: 32703 grad_norm: 17.9922 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1451 loss: 1.1451 2022/07/30 12:21:28 - mmengine - INFO - Epoch(train) [35][300/2505] lr: 5.0000e-05 eta: 16:30:52 time: 1.0535 data_time: 0.1949 memory: 32703 grad_norm: 18.1492 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.0186 loss: 1.0186 2022/07/30 12:21:47 - mmengine - INFO - Epoch(train) [35][320/2505] lr: 5.0000e-05 eta: 16:30:31 time: 0.9560 data_time: 0.0344 memory: 32703 grad_norm: 18.5047 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0434 loss: 1.0434 2022/07/30 12:22:08 - mmengine - INFO - Epoch(train) [35][340/2505] lr: 5.0000e-05 eta: 16:30:12 time: 1.0473 data_time: 0.0303 memory: 32703 grad_norm: 18.3297 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3387 loss: 1.3387 2022/07/30 12:22:26 - mmengine - INFO - Epoch(train) [35][360/2505] lr: 5.0000e-05 eta: 16:29:51 time: 0.8923 data_time: 0.0286 memory: 32703 grad_norm: 17.7145 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1658 loss: 1.1658 2022/07/30 12:22:46 - mmengine - INFO - Epoch(train) [35][380/2505] lr: 5.0000e-05 eta: 16:29:31 time: 1.0223 data_time: 0.0288 memory: 32703 grad_norm: 18.1005 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9240 loss: 0.9240 2022/07/30 12:23:05 - mmengine - INFO - Epoch(train) [35][400/2505] lr: 5.0000e-05 eta: 16:29:11 time: 0.9443 data_time: 0.0287 memory: 32703 grad_norm: 18.5127 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1987 loss: 1.1987 2022/07/30 12:23:27 - mmengine - INFO - Epoch(train) [35][420/2505] lr: 5.0000e-05 eta: 16:28:52 time: 1.0789 data_time: 0.0262 memory: 32703 grad_norm: 17.5337 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9054 loss: 0.9054 2022/07/30 12:23:44 - mmengine - INFO - Epoch(train) [35][440/2505] lr: 5.0000e-05 eta: 16:28:31 time: 0.8888 data_time: 0.0315 memory: 32703 grad_norm: 17.8163 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0214 loss: 1.0214 2022/07/30 12:24:06 - mmengine - INFO - Epoch(train) [35][460/2505] lr: 5.0000e-05 eta: 16:28:12 time: 1.0961 data_time: 0.0263 memory: 32703 grad_norm: 18.4824 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1039 loss: 1.1039 2022/07/30 12:24:25 - mmengine - INFO - Epoch(train) [35][480/2505] lr: 5.0000e-05 eta: 16:27:51 time: 0.9134 data_time: 0.0322 memory: 32703 grad_norm: 18.3698 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9233 loss: 0.9233 2022/07/30 12:24:46 - mmengine - INFO - Epoch(train) [35][500/2505] lr: 5.0000e-05 eta: 16:27:33 time: 1.0810 data_time: 0.0261 memory: 32703 grad_norm: 17.8596 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9849 loss: 0.9849 2022/07/30 12:25:04 - mmengine - INFO - Epoch(train) [35][520/2505] lr: 5.0000e-05 eta: 16:27:11 time: 0.8870 data_time: 0.0325 memory: 32703 grad_norm: 17.3639 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0744 loss: 1.0744 2022/07/30 12:25:25 - mmengine - INFO - Epoch(train) [35][540/2505] lr: 5.0000e-05 eta: 16:26:52 time: 1.0490 data_time: 0.0299 memory: 32703 grad_norm: 18.3752 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8888 loss: 0.8888 2022/07/30 12:25:43 - mmengine - INFO - Epoch(train) [35][560/2505] lr: 5.0000e-05 eta: 16:26:31 time: 0.9093 data_time: 0.0321 memory: 32703 grad_norm: 18.1240 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.2402 loss: 1.2402 2022/07/30 12:26:05 - mmengine - INFO - Epoch(train) [35][580/2505] lr: 5.0000e-05 eta: 16:26:12 time: 1.0718 data_time: 0.0269 memory: 32703 grad_norm: 17.7019 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9658 loss: 0.9658 2022/07/30 12:26:23 - mmengine - INFO - Epoch(train) [35][600/2505] lr: 5.0000e-05 eta: 16:25:51 time: 0.8993 data_time: 0.0333 memory: 32703 grad_norm: 18.0266 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9558 loss: 0.9558 2022/07/30 12:26:44 - mmengine - INFO - Epoch(train) [35][620/2505] lr: 5.0000e-05 eta: 16:25:32 time: 1.0661 data_time: 0.0267 memory: 32703 grad_norm: 18.5653 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1552 loss: 1.1552 2022/07/30 12:27:02 - mmengine - INFO - Epoch(train) [35][640/2505] lr: 5.0000e-05 eta: 16:25:11 time: 0.9285 data_time: 0.0280 memory: 32703 grad_norm: 18.5325 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.2033 loss: 1.2033 2022/07/30 12:27:23 - mmengine - INFO - Epoch(train) [35][660/2505] lr: 5.0000e-05 eta: 16:24:52 time: 1.0250 data_time: 0.0262 memory: 32703 grad_norm: 17.9322 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2823 loss: 1.2823 2022/07/30 12:27:41 - mmengine - INFO - Epoch(train) [35][680/2505] lr: 5.0000e-05 eta: 16:24:31 time: 0.9006 data_time: 0.0363 memory: 32703 grad_norm: 18.2601 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8601 loss: 0.8601 2022/07/30 12:28:02 - mmengine - INFO - Epoch(train) [35][700/2505] lr: 5.0000e-05 eta: 16:24:12 time: 1.0626 data_time: 0.0281 memory: 32703 grad_norm: 17.4549 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8228 loss: 0.8228 2022/07/30 12:28:20 - mmengine - INFO - Epoch(train) [35][720/2505] lr: 5.0000e-05 eta: 16:23:51 time: 0.8912 data_time: 0.0229 memory: 32703 grad_norm: 17.8731 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1549 loss: 1.1549 2022/07/30 12:28:41 - mmengine - INFO - Epoch(train) [35][740/2505] lr: 5.0000e-05 eta: 16:23:31 time: 1.0498 data_time: 0.0266 memory: 32703 grad_norm: 18.8766 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9241 loss: 0.9241 2022/07/30 12:28:59 - mmengine - INFO - Epoch(train) [35][760/2505] lr: 5.0000e-05 eta: 16:23:10 time: 0.8996 data_time: 0.0373 memory: 32703 grad_norm: 18.9750 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3441 loss: 1.3441 2022/07/30 12:29:20 - mmengine - INFO - Epoch(train) [35][780/2505] lr: 5.0000e-05 eta: 16:22:51 time: 1.0367 data_time: 0.0347 memory: 32703 grad_norm: 18.3408 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9523 loss: 0.9523 2022/07/30 12:29:38 - mmengine - INFO - Epoch(train) [35][800/2505] lr: 5.0000e-05 eta: 16:22:30 time: 0.9018 data_time: 0.0290 memory: 32703 grad_norm: 17.5219 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9539 loss: 0.9539 2022/07/30 12:29:58 - mmengine - INFO - Epoch(train) [35][820/2505] lr: 5.0000e-05 eta: 16:22:10 time: 1.0070 data_time: 0.0333 memory: 32703 grad_norm: 18.7982 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3387 loss: 1.3387 2022/07/30 12:30:08 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 12:30:19 - mmengine - INFO - Epoch(train) [35][840/2505] lr: 5.0000e-05 eta: 16:21:51 time: 1.0294 data_time: 0.0281 memory: 32703 grad_norm: 17.4201 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.0017 loss: 1.0017 2022/07/30 12:30:37 - mmengine - INFO - Epoch(train) [35][860/2505] lr: 5.0000e-05 eta: 16:21:30 time: 0.9382 data_time: 0.0599 memory: 32703 grad_norm: 18.7372 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8207 loss: 0.8207 2022/07/30 12:30:59 - mmengine - INFO - Epoch(train) [35][880/2505] lr: 5.0000e-05 eta: 16:21:11 time: 1.0757 data_time: 0.0317 memory: 32703 grad_norm: 18.1695 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1273 loss: 1.1273 2022/07/30 12:31:18 - mmengine - INFO - Epoch(train) [35][900/2505] lr: 5.0000e-05 eta: 16:20:51 time: 0.9410 data_time: 0.0314 memory: 32703 grad_norm: 18.5835 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2377 loss: 1.2377 2022/07/30 12:31:38 - mmengine - INFO - Epoch(train) [35][920/2505] lr: 5.0000e-05 eta: 16:20:31 time: 1.0113 data_time: 0.0577 memory: 32703 grad_norm: 18.4537 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2382 loss: 1.2382 2022/07/30 12:31:57 - mmengine - INFO - Epoch(train) [35][940/2505] lr: 5.0000e-05 eta: 16:20:11 time: 0.9489 data_time: 0.0478 memory: 32703 grad_norm: 18.4249 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8082 loss: 0.8082 2022/07/30 12:32:18 - mmengine - INFO - Epoch(train) [35][960/2505] lr: 5.0000e-05 eta: 16:19:51 time: 1.0369 data_time: 0.0639 memory: 32703 grad_norm: 18.3122 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9659 loss: 0.9659 2022/07/30 12:32:37 - mmengine - INFO - Epoch(train) [35][980/2505] lr: 5.0000e-05 eta: 16:19:31 time: 0.9667 data_time: 0.1096 memory: 32703 grad_norm: 18.7811 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0227 loss: 1.0227 2022/07/30 12:32:57 - mmengine - INFO - Epoch(train) [35][1000/2505] lr: 5.0000e-05 eta: 16:19:11 time: 0.9939 data_time: 0.0460 memory: 32703 grad_norm: 18.2822 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1491 loss: 1.1491 2022/07/30 12:33:18 - mmengine - INFO - Epoch(train) [35][1020/2505] lr: 5.0000e-05 eta: 16:18:52 time: 1.0520 data_time: 0.0565 memory: 32703 grad_norm: 18.1671 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0919 loss: 1.0919 2022/07/30 12:33:36 - mmengine - INFO - Epoch(train) [35][1040/2505] lr: 5.0000e-05 eta: 16:18:31 time: 0.8931 data_time: 0.0278 memory: 32703 grad_norm: 17.9309 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9445 loss: 0.9445 2022/07/30 12:33:57 - mmengine - INFO - Epoch(train) [35][1060/2505] lr: 5.0000e-05 eta: 16:18:12 time: 1.0723 data_time: 0.0487 memory: 32703 grad_norm: 18.0323 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0205 loss: 1.0205 2022/07/30 12:34:15 - mmengine - INFO - Epoch(train) [35][1080/2505] lr: 5.0000e-05 eta: 16:17:51 time: 0.8911 data_time: 0.0296 memory: 32703 grad_norm: 17.8413 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8958 loss: 0.8958 2022/07/30 12:34:35 - mmengine - INFO - Epoch(train) [35][1100/2505] lr: 5.0000e-05 eta: 16:17:31 time: 0.9998 data_time: 0.0881 memory: 32703 grad_norm: 18.2279 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9645 loss: 0.9645 2022/07/30 12:34:55 - mmengine - INFO - Epoch(train) [35][1120/2505] lr: 5.0000e-05 eta: 16:17:11 time: 0.9706 data_time: 0.1229 memory: 32703 grad_norm: 18.0279 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8838 loss: 0.8838 2022/07/30 12:35:15 - mmengine - INFO - Epoch(train) [35][1140/2505] lr: 5.0000e-05 eta: 16:16:51 time: 0.9998 data_time: 0.1184 memory: 32703 grad_norm: 17.5860 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0206 loss: 1.0206 2022/07/30 12:35:34 - mmengine - INFO - Epoch(train) [35][1160/2505] lr: 5.0000e-05 eta: 16:16:31 time: 0.9806 data_time: 0.0313 memory: 32703 grad_norm: 18.3282 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1650 loss: 1.1650 2022/07/30 12:35:54 - mmengine - INFO - Epoch(train) [35][1180/2505] lr: 5.0000e-05 eta: 16:16:11 time: 1.0165 data_time: 0.0534 memory: 32703 grad_norm: 19.1463 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1552 loss: 1.1552 2022/07/30 12:36:13 - mmengine - INFO - Epoch(train) [35][1200/2505] lr: 5.0000e-05 eta: 16:15:51 time: 0.9190 data_time: 0.0857 memory: 32703 grad_norm: 17.8605 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0332 loss: 1.0332 2022/07/30 12:36:34 - mmengine - INFO - Epoch(train) [35][1220/2505] lr: 5.0000e-05 eta: 16:15:31 time: 1.0404 data_time: 0.1987 memory: 32703 grad_norm: 17.9370 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9537 loss: 0.9537 2022/07/30 12:36:52 - mmengine - INFO - Epoch(train) [35][1240/2505] lr: 5.0000e-05 eta: 16:15:10 time: 0.9171 data_time: 0.0669 memory: 32703 grad_norm: 18.6199 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0346 loss: 1.0346 2022/07/30 12:37:14 - mmengine - INFO - Epoch(train) [35][1260/2505] lr: 5.0000e-05 eta: 16:14:52 time: 1.1002 data_time: 0.0480 memory: 32703 grad_norm: 19.1564 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.3040 loss: 1.3040 2022/07/30 12:37:33 - mmengine - INFO - Epoch(train) [35][1280/2505] lr: 5.0000e-05 eta: 16:14:31 time: 0.9353 data_time: 0.0886 memory: 32703 grad_norm: 19.0503 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0862 loss: 1.0862 2022/07/30 12:37:54 - mmengine - INFO - Epoch(train) [35][1300/2505] lr: 5.0000e-05 eta: 16:14:12 time: 1.0461 data_time: 0.2689 memory: 32703 grad_norm: 17.9059 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0579 loss: 1.0579 2022/07/30 12:38:12 - mmengine - INFO - Epoch(train) [35][1320/2505] lr: 5.0000e-05 eta: 16:13:51 time: 0.8947 data_time: 0.1327 memory: 32703 grad_norm: 18.7749 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0323 loss: 1.0323 2022/07/30 12:38:33 - mmengine - INFO - Epoch(train) [35][1340/2505] lr: 5.0000e-05 eta: 16:13:32 time: 1.0798 data_time: 0.3196 memory: 32703 grad_norm: 18.2648 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1008 loss: 1.1008 2022/07/30 12:38:51 - mmengine - INFO - Epoch(train) [35][1360/2505] lr: 5.0000e-05 eta: 16:13:11 time: 0.9110 data_time: 0.1964 memory: 32703 grad_norm: 17.4062 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0054 loss: 1.0054 2022/07/30 12:39:12 - mmengine - INFO - Epoch(train) [35][1380/2505] lr: 5.0000e-05 eta: 16:12:52 time: 1.0374 data_time: 0.1829 memory: 32703 grad_norm: 17.2789 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0439 loss: 1.0439 2022/07/30 12:39:31 - mmengine - INFO - Epoch(train) [35][1400/2505] lr: 5.0000e-05 eta: 16:12:31 time: 0.9227 data_time: 0.0468 memory: 32703 grad_norm: 18.3592 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9841 loss: 0.9841 2022/07/30 12:39:52 - mmengine - INFO - Epoch(train) [35][1420/2505] lr: 5.0000e-05 eta: 16:12:12 time: 1.0570 data_time: 0.0295 memory: 32703 grad_norm: 18.1399 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8478 loss: 0.8478 2022/07/30 12:40:11 - mmengine - INFO - Epoch(train) [35][1440/2505] lr: 5.0000e-05 eta: 16:11:52 time: 0.9775 data_time: 0.0578 memory: 32703 grad_norm: 17.6807 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0548 loss: 1.0548 2022/07/30 12:40:32 - mmengine - INFO - Epoch(train) [35][1460/2505] lr: 5.0000e-05 eta: 16:11:33 time: 1.0254 data_time: 0.0303 memory: 32703 grad_norm: 19.4705 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1280 loss: 1.1280 2022/07/30 12:40:51 - mmengine - INFO - Epoch(train) [35][1480/2505] lr: 5.0000e-05 eta: 16:11:12 time: 0.9339 data_time: 0.0310 memory: 32703 grad_norm: 17.6367 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0150 loss: 1.0150 2022/07/30 12:41:11 - mmengine - INFO - Epoch(train) [35][1500/2505] lr: 5.0000e-05 eta: 16:10:52 time: 1.0179 data_time: 0.0336 memory: 32703 grad_norm: 17.9413 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9968 loss: 0.9968 2022/07/30 12:41:30 - mmengine - INFO - Epoch(train) [35][1520/2505] lr: 5.0000e-05 eta: 16:10:32 time: 0.9661 data_time: 0.0285 memory: 32703 grad_norm: 17.8598 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9708 loss: 0.9708 2022/07/30 12:41:50 - mmengine - INFO - Epoch(train) [35][1540/2505] lr: 5.0000e-05 eta: 16:10:12 time: 0.9730 data_time: 0.0277 memory: 32703 grad_norm: 18.5866 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1317 loss: 1.1317 2022/07/30 12:42:09 - mmengine - INFO - Epoch(train) [35][1560/2505] lr: 5.0000e-05 eta: 16:09:52 time: 0.9899 data_time: 0.0325 memory: 32703 grad_norm: 18.1300 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2603 loss: 1.2603 2022/07/30 12:42:29 - mmengine - INFO - Epoch(train) [35][1580/2505] lr: 5.0000e-05 eta: 16:09:32 time: 0.9851 data_time: 0.0305 memory: 32703 grad_norm: 17.9363 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9730 loss: 0.9730 2022/07/30 12:42:49 - mmengine - INFO - Epoch(train) [35][1600/2505] lr: 5.0000e-05 eta: 16:09:12 time: 0.9838 data_time: 0.0319 memory: 32703 grad_norm: 18.2372 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1608 loss: 1.1608 2022/07/30 12:43:09 - mmengine - INFO - Epoch(train) [35][1620/2505] lr: 5.0000e-05 eta: 16:08:52 time: 1.0231 data_time: 0.0291 memory: 32703 grad_norm: 18.2906 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0087 loss: 1.0087 2022/07/30 12:43:28 - mmengine - INFO - Epoch(train) [35][1640/2505] lr: 5.0000e-05 eta: 16:08:32 time: 0.9283 data_time: 0.0272 memory: 32703 grad_norm: 18.0942 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.0266 loss: 1.0266 2022/07/30 12:43:49 - mmengine - INFO - Epoch(train) [35][1660/2505] lr: 5.0000e-05 eta: 16:08:13 time: 1.0764 data_time: 0.0265 memory: 32703 grad_norm: 17.7813 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0604 loss: 1.0604 2022/07/30 12:44:08 - mmengine - INFO - Epoch(train) [35][1680/2505] lr: 5.0000e-05 eta: 16:07:52 time: 0.9315 data_time: 0.0330 memory: 32703 grad_norm: 17.8173 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0783 loss: 1.0783 2022/07/30 12:44:28 - mmengine - INFO - Epoch(train) [35][1700/2505] lr: 5.0000e-05 eta: 16:07:33 time: 1.0157 data_time: 0.0258 memory: 32703 grad_norm: 18.9563 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1441 loss: 1.1441 2022/07/30 12:44:46 - mmengine - INFO - Epoch(train) [35][1720/2505] lr: 5.0000e-05 eta: 16:07:12 time: 0.9023 data_time: 0.0293 memory: 32703 grad_norm: 18.5876 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8722 loss: 0.8722 2022/07/30 12:45:07 - mmengine - INFO - Epoch(train) [35][1740/2505] lr: 5.0000e-05 eta: 16:06:52 time: 1.0360 data_time: 0.0269 memory: 32703 grad_norm: 19.2014 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9618 loss: 0.9618 2022/07/30 12:45:25 - mmengine - INFO - Epoch(train) [35][1760/2505] lr: 5.0000e-05 eta: 16:06:31 time: 0.8924 data_time: 0.0401 memory: 32703 grad_norm: 18.0405 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2607 loss: 1.2607 2022/07/30 12:45:47 - mmengine - INFO - Epoch(train) [35][1780/2505] lr: 5.0000e-05 eta: 16:06:12 time: 1.0839 data_time: 0.0839 memory: 32703 grad_norm: 18.4028 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1383 loss: 1.1383 2022/07/30 12:46:05 - mmengine - INFO - Epoch(train) [35][1800/2505] lr: 5.0000e-05 eta: 16:05:51 time: 0.9106 data_time: 0.0274 memory: 32703 grad_norm: 19.2461 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1456 loss: 1.1456 2022/07/30 12:46:26 - mmengine - INFO - Epoch(train) [35][1820/2505] lr: 5.0000e-05 eta: 16:05:32 time: 1.0462 data_time: 0.0270 memory: 32703 grad_norm: 17.3601 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8378 loss: 0.8378 2022/07/30 12:46:36 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 12:46:45 - mmengine - INFO - Epoch(train) [35][1840/2505] lr: 5.0000e-05 eta: 16:05:12 time: 0.9811 data_time: 0.0276 memory: 32703 grad_norm: 18.3855 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9790 loss: 0.9790 2022/07/30 12:47:05 - mmengine - INFO - Epoch(train) [35][1860/2505] lr: 5.0000e-05 eta: 16:04:52 time: 0.9799 data_time: 0.0273 memory: 32703 grad_norm: 18.5105 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1111 loss: 1.1111 2022/07/30 12:47:25 - mmengine - INFO - Epoch(train) [35][1880/2505] lr: 5.0000e-05 eta: 16:04:32 time: 0.9754 data_time: 0.0336 memory: 32703 grad_norm: 17.6734 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2576 loss: 1.2576 2022/07/30 12:47:44 - mmengine - INFO - Epoch(train) [35][1900/2505] lr: 5.0000e-05 eta: 16:04:12 time: 0.9796 data_time: 0.0385 memory: 32703 grad_norm: 17.9461 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9532 loss: 0.9532 2022/07/30 12:48:05 - mmengine - INFO - Epoch(train) [35][1920/2505] lr: 5.0000e-05 eta: 16:03:52 time: 1.0148 data_time: 0.0269 memory: 32703 grad_norm: 18.7585 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1524 loss: 1.1524 2022/07/30 12:48:24 - mmengine - INFO - Epoch(train) [35][1940/2505] lr: 5.0000e-05 eta: 16:03:32 time: 0.9524 data_time: 0.0317 memory: 32703 grad_norm: 17.6654 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0461 loss: 1.0461 2022/07/30 12:48:44 - mmengine - INFO - Epoch(train) [35][1960/2505] lr: 5.0000e-05 eta: 16:03:12 time: 1.0242 data_time: 0.0329 memory: 32703 grad_norm: 17.5792 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9816 loss: 0.9816 2022/07/30 12:49:02 - mmengine - INFO - Epoch(train) [35][1980/2505] lr: 5.0000e-05 eta: 16:02:51 time: 0.8993 data_time: 0.0318 memory: 32703 grad_norm: 18.6680 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1608 loss: 1.1608 2022/07/30 12:49:23 - mmengine - INFO - Epoch(train) [35][2000/2505] lr: 5.0000e-05 eta: 16:02:32 time: 1.0653 data_time: 0.0274 memory: 32703 grad_norm: 18.4288 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1201 loss: 1.1201 2022/07/30 12:49:42 - mmengine - INFO - Epoch(train) [35][2020/2505] lr: 5.0000e-05 eta: 16:02:11 time: 0.9150 data_time: 0.0372 memory: 32703 grad_norm: 18.2513 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1815 loss: 1.1815 2022/07/30 12:50:04 - mmengine - INFO - Epoch(train) [35][2040/2505] lr: 5.0000e-05 eta: 16:01:53 time: 1.1162 data_time: 0.0269 memory: 32703 grad_norm: 18.1310 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2673 loss: 1.2673 2022/07/30 12:50:23 - mmengine - INFO - Epoch(train) [35][2060/2505] lr: 5.0000e-05 eta: 16:01:32 time: 0.9282 data_time: 0.0245 memory: 32703 grad_norm: 17.7531 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1441 loss: 1.1441 2022/07/30 12:50:43 - mmengine - INFO - Epoch(train) [35][2080/2505] lr: 5.0000e-05 eta: 16:01:13 time: 1.0076 data_time: 0.0313 memory: 32703 grad_norm: 18.4182 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1754 loss: 1.1754 2022/07/30 12:51:01 - mmengine - INFO - Epoch(train) [35][2100/2505] lr: 5.0000e-05 eta: 16:00:52 time: 0.8969 data_time: 0.0313 memory: 32703 grad_norm: 17.6368 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1126 loss: 1.1126 2022/07/30 12:51:22 - mmengine - INFO - Epoch(train) [35][2120/2505] lr: 5.0000e-05 eta: 16:00:32 time: 1.0433 data_time: 0.0288 memory: 32703 grad_norm: 18.0954 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9874 loss: 0.9874 2022/07/30 12:51:40 - mmengine - INFO - Epoch(train) [35][2140/2505] lr: 5.0000e-05 eta: 16:00:11 time: 0.9009 data_time: 0.0273 memory: 32703 grad_norm: 18.2341 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0859 loss: 1.0859 2022/07/30 12:52:01 - mmengine - INFO - Epoch(train) [35][2160/2505] lr: 5.0000e-05 eta: 15:59:53 time: 1.0780 data_time: 0.0334 memory: 32703 grad_norm: 18.1684 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0086 loss: 1.0086 2022/07/30 12:52:21 - mmengine - INFO - Epoch(train) [35][2180/2505] lr: 5.0000e-05 eta: 15:59:32 time: 0.9646 data_time: 0.0272 memory: 32703 grad_norm: 18.5201 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9913 loss: 0.9913 2022/07/30 12:52:42 - mmengine - INFO - Epoch(train) [35][2200/2505] lr: 5.0000e-05 eta: 15:59:13 time: 1.0675 data_time: 0.0335 memory: 32703 grad_norm: 17.8385 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1002 loss: 1.1002 2022/07/30 12:53:00 - mmengine - INFO - Epoch(train) [35][2220/2505] lr: 5.0000e-05 eta: 15:58:53 time: 0.9196 data_time: 0.0306 memory: 32703 grad_norm: 17.8873 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1233 loss: 1.1233 2022/07/30 12:53:20 - mmengine - INFO - Epoch(train) [35][2240/2505] lr: 5.0000e-05 eta: 15:58:33 time: 1.0090 data_time: 0.0303 memory: 32703 grad_norm: 17.4081 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9555 loss: 0.9555 2022/07/30 12:53:39 - mmengine - INFO - Epoch(train) [35][2260/2505] lr: 5.0000e-05 eta: 15:58:12 time: 0.9434 data_time: 0.0253 memory: 32703 grad_norm: 17.8537 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9365 loss: 0.9365 2022/07/30 12:54:01 - mmengine - INFO - Epoch(train) [35][2280/2505] lr: 5.0000e-05 eta: 15:57:54 time: 1.0787 data_time: 0.0283 memory: 32703 grad_norm: 17.3966 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0773 loss: 1.0773 2022/07/30 12:54:19 - mmengine - INFO - Epoch(train) [35][2300/2505] lr: 5.0000e-05 eta: 15:57:33 time: 0.9182 data_time: 0.0285 memory: 32703 grad_norm: 19.2590 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1572 loss: 1.1572 2022/07/30 12:54:40 - mmengine - INFO - Epoch(train) [35][2320/2505] lr: 5.0000e-05 eta: 15:57:13 time: 1.0206 data_time: 0.0310 memory: 32703 grad_norm: 18.4924 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2194 loss: 1.2194 2022/07/30 12:54:58 - mmengine - INFO - Epoch(train) [35][2340/2505] lr: 5.0000e-05 eta: 15:56:52 time: 0.9289 data_time: 0.0262 memory: 32703 grad_norm: 17.4185 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9375 loss: 0.9375 2022/07/30 12:55:19 - mmengine - INFO - Epoch(train) [35][2360/2505] lr: 5.0000e-05 eta: 15:56:33 time: 1.0452 data_time: 0.0278 memory: 32703 grad_norm: 18.2766 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1780 loss: 1.1780 2022/07/30 12:55:38 - mmengine - INFO - Epoch(train) [35][2380/2505] lr: 5.0000e-05 eta: 15:56:13 time: 0.9276 data_time: 0.0280 memory: 32703 grad_norm: 18.3169 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0528 loss: 1.0528 2022/07/30 12:55:59 - mmengine - INFO - Epoch(train) [35][2400/2505] lr: 5.0000e-05 eta: 15:55:54 time: 1.0844 data_time: 0.0277 memory: 32703 grad_norm: 18.1541 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.9340 loss: 0.9340 2022/07/30 12:56:16 - mmengine - INFO - Epoch(train) [35][2420/2505] lr: 5.0000e-05 eta: 15:55:32 time: 0.8391 data_time: 0.0271 memory: 32703 grad_norm: 18.3665 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1412 loss: 1.1412 2022/07/30 12:56:38 - mmengine - INFO - Epoch(train) [35][2440/2505] lr: 5.0000e-05 eta: 15:55:14 time: 1.1105 data_time: 0.0297 memory: 32703 grad_norm: 17.8494 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2091 loss: 1.2091 2022/07/30 12:56:55 - mmengine - INFO - Epoch(train) [35][2460/2505] lr: 5.0000e-05 eta: 15:54:52 time: 0.8398 data_time: 0.0278 memory: 32703 grad_norm: 17.9578 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9171 loss: 0.9171 2022/07/30 12:57:15 - mmengine - INFO - Epoch(train) [35][2480/2505] lr: 5.0000e-05 eta: 15:54:32 time: 0.9947 data_time: 0.0278 memory: 32703 grad_norm: 17.9815 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1078 loss: 1.1078 2022/07/30 12:57:32 - mmengine - INFO - Epoch(train) [35][2500/2505] lr: 5.0000e-05 eta: 15:54:10 time: 0.8526 data_time: 0.0327 memory: 32703 grad_norm: 18.4425 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1702 loss: 1.1702 2022/07/30 12:57:35 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 12:57:35 - mmengine - INFO - Epoch(train) [35][2505/2505] lr: 5.0000e-05 eta: 15:54:10 time: 0.7505 data_time: 0.0184 memory: 32703 grad_norm: 19.4054 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2362 loss: 1.2362 2022/07/30 12:58:01 - mmengine - INFO - Epoch(train) [36][20/2505] lr: 5.0000e-05 eta: 15:53:46 time: 1.3267 data_time: 0.7351 memory: 32703 grad_norm: 18.7177 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3174 loss: 1.3174 2022/07/30 12:58:21 - mmengine - INFO - Epoch(train) [36][40/2505] lr: 5.0000e-05 eta: 15:53:26 time: 0.9514 data_time: 0.3699 memory: 32703 grad_norm: 17.7183 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1290 loss: 1.1290 2022/07/30 12:58:43 - mmengine - INFO - Epoch(train) [36][60/2505] lr: 5.0000e-05 eta: 15:53:08 time: 1.1011 data_time: 0.5034 memory: 32703 grad_norm: 17.5479 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0580 loss: 1.0580 2022/07/30 12:59:00 - mmengine - INFO - Epoch(train) [36][80/2505] lr: 5.0000e-05 eta: 15:52:46 time: 0.8776 data_time: 0.2892 memory: 32703 grad_norm: 17.6292 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0436 loss: 1.0436 2022/07/30 12:59:21 - mmengine - INFO - Epoch(train) [36][100/2505] lr: 5.0000e-05 eta: 15:52:27 time: 1.0611 data_time: 0.4760 memory: 32703 grad_norm: 18.2020 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0656 loss: 1.0656 2022/07/30 12:59:39 - mmengine - INFO - Epoch(train) [36][120/2505] lr: 5.0000e-05 eta: 15:52:06 time: 0.8932 data_time: 0.2275 memory: 32703 grad_norm: 18.2732 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1521 loss: 1.1521 2022/07/30 13:00:00 - mmengine - INFO - Epoch(train) [36][140/2505] lr: 5.0000e-05 eta: 15:51:47 time: 1.0590 data_time: 0.2822 memory: 32703 grad_norm: 18.3870 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9104 loss: 0.9104 2022/07/30 13:00:20 - mmengine - INFO - Epoch(train) [36][160/2505] lr: 5.0000e-05 eta: 15:51:27 time: 0.9749 data_time: 0.2095 memory: 32703 grad_norm: 18.0812 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9778 loss: 0.9778 2022/07/30 13:00:40 - mmengine - INFO - Epoch(train) [36][180/2505] lr: 5.0000e-05 eta: 15:51:07 time: 1.0185 data_time: 0.3384 memory: 32703 grad_norm: 18.5356 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0014 loss: 1.0014 2022/07/30 13:00:59 - mmengine - INFO - Epoch(train) [36][200/2505] lr: 5.0000e-05 eta: 15:50:46 time: 0.9140 data_time: 0.3174 memory: 32703 grad_norm: 18.0584 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1753 loss: 1.1753 2022/07/30 13:01:20 - mmengine - INFO - Epoch(train) [36][220/2505] lr: 5.0000e-05 eta: 15:50:28 time: 1.0861 data_time: 0.4517 memory: 32703 grad_norm: 18.0633 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.1362 loss: 1.1362 2022/07/30 13:01:38 - mmengine - INFO - Epoch(train) [36][240/2505] lr: 5.0000e-05 eta: 15:50:07 time: 0.9039 data_time: 0.2898 memory: 32703 grad_norm: 18.3766 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0196 loss: 1.0196 2022/07/30 13:02:00 - mmengine - INFO - Epoch(train) [36][260/2505] lr: 5.0000e-05 eta: 15:49:48 time: 1.0847 data_time: 0.4626 memory: 32703 grad_norm: 17.7981 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0297 loss: 1.0297 2022/07/30 13:02:17 - mmengine - INFO - Epoch(train) [36][280/2505] lr: 5.0000e-05 eta: 15:49:26 time: 0.8460 data_time: 0.2685 memory: 32703 grad_norm: 17.2318 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0346 loss: 1.0346 2022/07/30 13:02:39 - mmengine - INFO - Epoch(train) [36][300/2505] lr: 5.0000e-05 eta: 15:49:08 time: 1.1051 data_time: 0.4829 memory: 32703 grad_norm: 18.0173 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0450 loss: 1.0450 2022/07/30 13:02:56 - mmengine - INFO - Epoch(train) [36][320/2505] lr: 5.0000e-05 eta: 15:48:46 time: 0.8367 data_time: 0.2567 memory: 32703 grad_norm: 17.9501 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9743 loss: 0.9743 2022/07/30 13:03:02 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 13:03:17 - mmengine - INFO - Epoch(train) [36][340/2505] lr: 5.0000e-05 eta: 15:48:27 time: 1.0431 data_time: 0.4523 memory: 32703 grad_norm: 18.3629 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1111 loss: 1.1111 2022/07/30 13:03:35 - mmengine - INFO - Epoch(train) [36][360/2505] lr: 5.0000e-05 eta: 15:48:06 time: 0.9255 data_time: 0.2533 memory: 32703 grad_norm: 18.0470 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1682 loss: 1.1682 2022/07/30 13:03:57 - mmengine - INFO - Epoch(train) [36][380/2505] lr: 5.0000e-05 eta: 15:47:47 time: 1.0734 data_time: 0.1997 memory: 32703 grad_norm: 18.9366 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1530 loss: 1.1530 2022/07/30 13:04:15 - mmengine - INFO - Epoch(train) [36][400/2505] lr: 5.0000e-05 eta: 15:47:26 time: 0.8880 data_time: 0.1234 memory: 32703 grad_norm: 18.2721 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0867 loss: 1.0867 2022/07/30 13:04:36 - mmengine - INFO - Epoch(train) [36][420/2505] lr: 5.0000e-05 eta: 15:47:07 time: 1.0629 data_time: 0.1091 memory: 32703 grad_norm: 17.9705 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9095 loss: 0.9095 2022/07/30 13:04:54 - mmengine - INFO - Epoch(train) [36][440/2505] lr: 5.0000e-05 eta: 15:46:46 time: 0.9084 data_time: 0.0681 memory: 32703 grad_norm: 18.0373 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0899 loss: 1.0899 2022/07/30 13:05:16 - mmengine - INFO - Epoch(train) [36][460/2505] lr: 5.0000e-05 eta: 15:46:27 time: 1.0753 data_time: 0.1521 memory: 32703 grad_norm: 18.2703 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0412 loss: 1.0412 2022/07/30 13:05:34 - mmengine - INFO - Epoch(train) [36][480/2505] lr: 5.0000e-05 eta: 15:46:06 time: 0.9355 data_time: 0.1718 memory: 32703 grad_norm: 18.5593 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1852 loss: 1.1852 2022/07/30 13:05:55 - mmengine - INFO - Epoch(train) [36][500/2505] lr: 5.0000e-05 eta: 15:45:47 time: 1.0521 data_time: 0.2642 memory: 32703 grad_norm: 17.6385 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0187 loss: 1.0187 2022/07/30 13:06:13 - mmengine - INFO - Epoch(train) [36][520/2505] lr: 5.0000e-05 eta: 15:45:26 time: 0.8848 data_time: 0.1596 memory: 32703 grad_norm: 17.5410 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0227 loss: 1.0227 2022/07/30 13:06:34 - mmengine - INFO - Epoch(train) [36][540/2505] lr: 5.0000e-05 eta: 15:45:07 time: 1.0422 data_time: 0.1877 memory: 32703 grad_norm: 19.0686 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0794 loss: 1.0794 2022/07/30 13:06:52 - mmengine - INFO - Epoch(train) [36][560/2505] lr: 5.0000e-05 eta: 15:44:46 time: 0.9137 data_time: 0.0384 memory: 32703 grad_norm: 18.6113 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9532 loss: 0.9532 2022/07/30 13:07:13 - mmengine - INFO - Epoch(train) [36][580/2505] lr: 5.0000e-05 eta: 15:44:27 time: 1.0599 data_time: 0.0317 memory: 32703 grad_norm: 18.3933 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0373 loss: 1.0373 2022/07/30 13:07:31 - mmengine - INFO - Epoch(train) [36][600/2505] lr: 5.0000e-05 eta: 15:44:06 time: 0.8877 data_time: 0.0257 memory: 32703 grad_norm: 18.3408 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1155 loss: 1.1155 2022/07/30 13:07:52 - mmengine - INFO - Epoch(train) [36][620/2505] lr: 5.0000e-05 eta: 15:43:46 time: 1.0337 data_time: 0.0395 memory: 32703 grad_norm: 18.6272 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0063 loss: 1.0063 2022/07/30 13:08:11 - mmengine - INFO - Epoch(train) [36][640/2505] lr: 5.0000e-05 eta: 15:43:26 time: 0.9456 data_time: 0.0510 memory: 32703 grad_norm: 17.8623 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.4470 loss: 1.4470 2022/07/30 13:08:33 - mmengine - INFO - Epoch(train) [36][660/2505] lr: 5.0000e-05 eta: 15:43:07 time: 1.1152 data_time: 0.0644 memory: 32703 grad_norm: 17.8648 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0899 loss: 1.0899 2022/07/30 13:08:51 - mmengine - INFO - Epoch(train) [36][680/2505] lr: 5.0000e-05 eta: 15:42:46 time: 0.8935 data_time: 0.0302 memory: 32703 grad_norm: 18.8326 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0595 loss: 1.0595 2022/07/30 13:09:12 - mmengine - INFO - Epoch(train) [36][700/2505] lr: 5.0000e-05 eta: 15:42:27 time: 1.0494 data_time: 0.0363 memory: 32703 grad_norm: 18.5201 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1951 loss: 1.1951 2022/07/30 13:09:30 - mmengine - INFO - Epoch(train) [36][720/2505] lr: 5.0000e-05 eta: 15:42:06 time: 0.8961 data_time: 0.0291 memory: 32703 grad_norm: 17.8778 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9233 loss: 0.9233 2022/07/30 13:09:51 - mmengine - INFO - Epoch(train) [36][740/2505] lr: 5.0000e-05 eta: 15:41:47 time: 1.0749 data_time: 0.0322 memory: 32703 grad_norm: 18.0679 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0766 loss: 1.0766 2022/07/30 13:10:09 - mmengine - INFO - Epoch(train) [36][760/2505] lr: 5.0000e-05 eta: 15:41:26 time: 0.9081 data_time: 0.0278 memory: 32703 grad_norm: 18.1289 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9779 loss: 0.9779 2022/07/30 13:10:32 - mmengine - INFO - Epoch(train) [36][780/2505] lr: 5.0000e-05 eta: 15:41:08 time: 1.1132 data_time: 0.0314 memory: 32703 grad_norm: 18.3280 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9724 loss: 0.9724 2022/07/30 13:10:49 - mmengine - INFO - Epoch(train) [36][800/2505] lr: 5.0000e-05 eta: 15:40:46 time: 0.8725 data_time: 0.0270 memory: 32703 grad_norm: 18.1144 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8744 loss: 0.8744 2022/07/30 13:11:10 - mmengine - INFO - Epoch(train) [36][820/2505] lr: 5.0000e-05 eta: 15:40:27 time: 1.0595 data_time: 0.0292 memory: 32703 grad_norm: 18.3724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9979 loss: 0.9979 2022/07/30 13:11:28 - mmengine - INFO - Epoch(train) [36][840/2505] lr: 5.0000e-05 eta: 15:40:06 time: 0.8858 data_time: 0.0330 memory: 32703 grad_norm: 18.3727 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0208 loss: 1.0208 2022/07/30 13:11:49 - mmengine - INFO - Epoch(train) [36][860/2505] lr: 5.0000e-05 eta: 15:39:47 time: 1.0275 data_time: 0.0333 memory: 32703 grad_norm: 17.8733 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1608 loss: 1.1608 2022/07/30 13:12:06 - mmengine - INFO - Epoch(train) [36][880/2505] lr: 5.0000e-05 eta: 15:39:25 time: 0.8693 data_time: 0.0316 memory: 32703 grad_norm: 18.2347 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9839 loss: 0.9839 2022/07/30 13:12:28 - mmengine - INFO - Epoch(train) [36][900/2505] lr: 5.0000e-05 eta: 15:39:07 time: 1.0789 data_time: 0.1870 memory: 32703 grad_norm: 18.0443 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0537 loss: 1.0537 2022/07/30 13:12:46 - mmengine - INFO - Epoch(train) [36][920/2505] lr: 5.0000e-05 eta: 15:38:45 time: 0.9022 data_time: 0.1690 memory: 32703 grad_norm: 18.1478 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.2347 loss: 1.2347 2022/07/30 13:13:06 - mmengine - INFO - Epoch(train) [36][940/2505] lr: 5.0000e-05 eta: 15:38:26 time: 1.0387 data_time: 0.2839 memory: 32703 grad_norm: 18.8356 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1243 loss: 1.1243 2022/07/30 13:13:25 - mmengine - INFO - Epoch(train) [36][960/2505] lr: 5.0000e-05 eta: 15:38:05 time: 0.9258 data_time: 0.1757 memory: 32703 grad_norm: 18.0812 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2301 loss: 1.2301 2022/07/30 13:13:46 - mmengine - INFO - Epoch(train) [36][980/2505] lr: 5.0000e-05 eta: 15:37:46 time: 1.0458 data_time: 0.3009 memory: 32703 grad_norm: 18.7284 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0039 loss: 1.0039 2022/07/30 13:14:04 - mmengine - INFO - Epoch(train) [36][1000/2505] lr: 5.0000e-05 eta: 15:37:26 time: 0.9268 data_time: 0.2401 memory: 32703 grad_norm: 16.9211 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1085 loss: 1.1085 2022/07/30 13:14:25 - mmengine - INFO - Epoch(train) [36][1020/2505] lr: 5.0000e-05 eta: 15:37:06 time: 1.0559 data_time: 0.4237 memory: 32703 grad_norm: 19.1026 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9421 loss: 0.9421 2022/07/30 13:14:44 - mmengine - INFO - Epoch(train) [36][1040/2505] lr: 5.0000e-05 eta: 15:36:46 time: 0.9132 data_time: 0.3059 memory: 32703 grad_norm: 18.0082 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1025 loss: 1.1025 2022/07/30 13:15:04 - mmengine - INFO - Epoch(train) [36][1060/2505] lr: 5.0000e-05 eta: 15:36:26 time: 1.0101 data_time: 0.4164 memory: 32703 grad_norm: 18.5256 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9297 loss: 0.9297 2022/07/30 13:15:23 - mmengine - INFO - Epoch(train) [36][1080/2505] lr: 5.0000e-05 eta: 15:36:05 time: 0.9328 data_time: 0.3114 memory: 32703 grad_norm: 18.3148 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2877 loss: 1.2877 2022/07/30 13:15:43 - mmengine - INFO - Epoch(train) [36][1100/2505] lr: 5.0000e-05 eta: 15:35:46 time: 1.0087 data_time: 0.3406 memory: 32703 grad_norm: 17.5855 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2690 loss: 1.2690 2022/07/30 13:16:02 - mmengine - INFO - Epoch(train) [36][1120/2505] lr: 5.0000e-05 eta: 15:35:25 time: 0.9447 data_time: 0.1559 memory: 32703 grad_norm: 18.7975 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0504 loss: 1.0504 2022/07/30 13:16:23 - mmengine - INFO - Epoch(train) [36][1140/2505] lr: 5.0000e-05 eta: 15:35:06 time: 1.0751 data_time: 0.1096 memory: 32703 grad_norm: 18.0443 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0997 loss: 1.0997 2022/07/30 13:16:42 - mmengine - INFO - Epoch(train) [36][1160/2505] lr: 5.0000e-05 eta: 15:34:46 time: 0.9237 data_time: 0.0543 memory: 32703 grad_norm: 17.9103 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3060 loss: 1.3060 2022/07/30 13:17:03 - mmengine - INFO - Epoch(train) [36][1180/2505] lr: 5.0000e-05 eta: 15:34:27 time: 1.0690 data_time: 0.0327 memory: 32703 grad_norm: 17.9437 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9833 loss: 0.9833 2022/07/30 13:17:22 - mmengine - INFO - Epoch(train) [36][1200/2505] lr: 5.0000e-05 eta: 15:34:06 time: 0.9248 data_time: 0.0311 memory: 32703 grad_norm: 18.4442 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1122 loss: 1.1122 2022/07/30 13:17:42 - mmengine - INFO - Epoch(train) [36][1220/2505] lr: 5.0000e-05 eta: 15:33:46 time: 1.0217 data_time: 0.0322 memory: 32703 grad_norm: 19.3560 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0504 loss: 1.0504 2022/07/30 13:18:00 - mmengine - INFO - Epoch(train) [36][1240/2505] lr: 5.0000e-05 eta: 15:33:25 time: 0.8911 data_time: 0.0281 memory: 32703 grad_norm: 17.7679 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9610 loss: 0.9610 2022/07/30 13:18:22 - mmengine - INFO - Epoch(train) [36][1260/2505] lr: 5.0000e-05 eta: 15:33:07 time: 1.1012 data_time: 0.0332 memory: 32703 grad_norm: 18.4645 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1992 loss: 1.1992 2022/07/30 13:18:40 - mmengine - INFO - Epoch(train) [36][1280/2505] lr: 5.0000e-05 eta: 15:32:45 time: 0.8835 data_time: 0.0328 memory: 32703 grad_norm: 17.5247 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1275 loss: 1.1275 2022/07/30 13:19:00 - mmengine - INFO - Epoch(train) [36][1300/2505] lr: 5.0000e-05 eta: 15:32:26 time: 1.0212 data_time: 0.0319 memory: 32703 grad_norm: 17.6807 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9274 loss: 0.9274 2022/07/30 13:19:17 - mmengine - INFO - Epoch(train) [36][1320/2505] lr: 5.0000e-05 eta: 15:32:04 time: 0.8646 data_time: 0.0290 memory: 32703 grad_norm: 18.4869 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9660 loss: 0.9660 2022/07/30 13:19:24 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 13:19:39 - mmengine - INFO - Epoch(train) [36][1340/2505] lr: 5.0000e-05 eta: 15:31:46 time: 1.0766 data_time: 0.0300 memory: 32703 grad_norm: 18.3004 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8993 loss: 0.8993 2022/07/30 13:19:57 - mmengine - INFO - Epoch(train) [36][1360/2505] lr: 5.0000e-05 eta: 15:31:25 time: 0.9282 data_time: 0.0273 memory: 32703 grad_norm: 18.7319 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.1371 loss: 1.1371 2022/07/30 13:20:18 - mmengine - INFO - Epoch(train) [36][1380/2505] lr: 5.0000e-05 eta: 15:31:05 time: 1.0223 data_time: 0.0253 memory: 32703 grad_norm: 19.2078 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0852 loss: 1.0852 2022/07/30 13:20:37 - mmengine - INFO - Epoch(train) [36][1400/2505] lr: 5.0000e-05 eta: 15:30:45 time: 0.9654 data_time: 0.0271 memory: 32703 grad_norm: 17.9307 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9522 loss: 0.9522 2022/07/30 13:20:59 - mmengine - INFO - Epoch(train) [36][1420/2505] lr: 5.0000e-05 eta: 15:30:26 time: 1.0676 data_time: 0.0281 memory: 32703 grad_norm: 17.8240 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9651 loss: 0.9651 2022/07/30 13:21:17 - mmengine - INFO - Epoch(train) [36][1440/2505] lr: 5.0000e-05 eta: 15:30:05 time: 0.9123 data_time: 0.0425 memory: 32703 grad_norm: 18.4086 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1786 loss: 1.1786 2022/07/30 13:21:38 - mmengine - INFO - Epoch(train) [36][1460/2505] lr: 5.0000e-05 eta: 15:29:46 time: 1.0755 data_time: 0.0273 memory: 32703 grad_norm: 18.3008 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9857 loss: 0.9857 2022/07/30 13:21:57 - mmengine - INFO - Epoch(train) [36][1480/2505] lr: 5.0000e-05 eta: 15:29:26 time: 0.9141 data_time: 0.0287 memory: 32703 grad_norm: 18.6241 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8795 loss: 0.8795 2022/07/30 13:22:17 - mmengine - INFO - Epoch(train) [36][1500/2505] lr: 5.0000e-05 eta: 15:29:06 time: 1.0181 data_time: 0.0312 memory: 32703 grad_norm: 19.5671 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1906 loss: 1.1906 2022/07/30 13:22:35 - mmengine - INFO - Epoch(train) [36][1520/2505] lr: 5.0000e-05 eta: 15:28:45 time: 0.8911 data_time: 0.0324 memory: 32703 grad_norm: 19.1541 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0605 loss: 1.0605 2022/07/30 13:22:56 - mmengine - INFO - Epoch(train) [36][1540/2505] lr: 5.0000e-05 eta: 15:28:26 time: 1.0728 data_time: 0.0314 memory: 32703 grad_norm: 18.6577 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1462 loss: 1.1462 2022/07/30 13:23:14 - mmengine - INFO - Epoch(train) [36][1560/2505] lr: 5.0000e-05 eta: 15:28:05 time: 0.8637 data_time: 0.0276 memory: 32703 grad_norm: 17.3826 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3272 loss: 1.3272 2022/07/30 13:23:35 - mmengine - INFO - Epoch(train) [36][1580/2505] lr: 5.0000e-05 eta: 15:27:45 time: 1.0581 data_time: 0.0287 memory: 32703 grad_norm: 17.8960 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0437 loss: 1.0437 2022/07/30 13:23:52 - mmengine - INFO - Epoch(train) [36][1600/2505] lr: 5.0000e-05 eta: 15:27:24 time: 0.8786 data_time: 0.0287 memory: 32703 grad_norm: 17.6397 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9863 loss: 0.9863 2022/07/30 13:24:13 - mmengine - INFO - Epoch(train) [36][1620/2505] lr: 5.0000e-05 eta: 15:27:05 time: 1.0582 data_time: 0.0271 memory: 32703 grad_norm: 18.6041 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1132 loss: 1.1132 2022/07/30 13:24:31 - mmengine - INFO - Epoch(train) [36][1640/2505] lr: 5.0000e-05 eta: 15:26:44 time: 0.8877 data_time: 0.0268 memory: 32703 grad_norm: 19.2501 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.2312 loss: 1.2312 2022/07/30 13:24:52 - mmengine - INFO - Epoch(train) [36][1660/2505] lr: 5.0000e-05 eta: 15:26:25 time: 1.0335 data_time: 0.0290 memory: 32703 grad_norm: 17.7562 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8423 loss: 0.8423 2022/07/30 13:25:12 - mmengine - INFO - Epoch(train) [36][1680/2505] lr: 5.0000e-05 eta: 15:26:05 time: 1.0228 data_time: 0.0304 memory: 32703 grad_norm: 17.8229 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9505 loss: 0.9505 2022/07/30 13:25:31 - mmengine - INFO - Epoch(train) [36][1700/2505] lr: 5.0000e-05 eta: 15:25:44 time: 0.9325 data_time: 0.0305 memory: 32703 grad_norm: 18.4899 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1275 loss: 1.1275 2022/07/30 13:25:52 - mmengine - INFO - Epoch(train) [36][1720/2505] lr: 5.0000e-05 eta: 15:25:25 time: 1.0382 data_time: 0.0335 memory: 32703 grad_norm: 17.5078 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8998 loss: 0.8998 2022/07/30 13:26:10 - mmengine - INFO - Epoch(train) [36][1740/2505] lr: 5.0000e-05 eta: 15:25:04 time: 0.9320 data_time: 0.0260 memory: 32703 grad_norm: 18.3240 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2452 loss: 1.2452 2022/07/30 13:26:31 - mmengine - INFO - Epoch(train) [36][1760/2505] lr: 5.0000e-05 eta: 15:24:45 time: 1.0230 data_time: 0.0291 memory: 32703 grad_norm: 18.3828 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0306 loss: 1.0306 2022/07/30 13:26:51 - mmengine - INFO - Epoch(train) [36][1780/2505] lr: 5.0000e-05 eta: 15:24:25 time: 0.9977 data_time: 0.0283 memory: 32703 grad_norm: 17.1085 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0866 loss: 1.0866 2022/07/30 13:27:10 - mmengine - INFO - Epoch(train) [36][1800/2505] lr: 5.0000e-05 eta: 15:24:05 time: 0.9335 data_time: 0.0264 memory: 32703 grad_norm: 18.2133 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1616 loss: 1.1616 2022/07/30 13:27:30 - mmengine - INFO - Epoch(train) [36][1820/2505] lr: 5.0000e-05 eta: 15:23:45 time: 1.0060 data_time: 0.0282 memory: 32703 grad_norm: 18.6015 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1509 loss: 1.1509 2022/07/30 13:27:49 - mmengine - INFO - Epoch(train) [36][1840/2505] lr: 5.0000e-05 eta: 15:23:25 time: 0.9551 data_time: 0.0269 memory: 32703 grad_norm: 18.3041 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1147 loss: 1.1147 2022/07/30 13:28:08 - mmengine - INFO - Epoch(train) [36][1860/2505] lr: 5.0000e-05 eta: 15:23:04 time: 0.9624 data_time: 0.0260 memory: 32703 grad_norm: 18.7606 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1439 loss: 1.1439 2022/07/30 13:28:29 - mmengine - INFO - Epoch(train) [36][1880/2505] lr: 5.0000e-05 eta: 15:22:45 time: 1.0442 data_time: 0.0265 memory: 32703 grad_norm: 16.8485 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0184 loss: 1.0184 2022/07/30 13:28:48 - mmengine - INFO - Epoch(train) [36][1900/2505] lr: 5.0000e-05 eta: 15:22:25 time: 0.9585 data_time: 0.0292 memory: 32703 grad_norm: 18.2087 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0748 loss: 1.0748 2022/07/30 13:29:08 - mmengine - INFO - Epoch(train) [36][1920/2505] lr: 5.0000e-05 eta: 15:22:05 time: 0.9805 data_time: 0.0276 memory: 32703 grad_norm: 18.2945 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9583 loss: 0.9583 2022/07/30 13:29:27 - mmengine - INFO - Epoch(train) [36][1940/2505] lr: 5.0000e-05 eta: 15:21:44 time: 0.9633 data_time: 0.0289 memory: 32703 grad_norm: 19.3544 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1021 loss: 1.1021 2022/07/30 13:29:47 - mmengine - INFO - Epoch(train) [36][1960/2505] lr: 5.0000e-05 eta: 15:21:25 time: 1.0017 data_time: 0.0275 memory: 32703 grad_norm: 18.3420 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1622 loss: 1.1622 2022/07/30 13:30:06 - mmengine - INFO - Epoch(train) [36][1980/2505] lr: 5.0000e-05 eta: 15:21:04 time: 0.9603 data_time: 0.0273 memory: 32703 grad_norm: 18.1747 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9837 loss: 0.9837 2022/07/30 13:30:27 - mmengine - INFO - Epoch(train) [36][2000/2505] lr: 5.0000e-05 eta: 15:20:45 time: 1.0403 data_time: 0.0281 memory: 32703 grad_norm: 18.2937 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2091 loss: 1.2091 2022/07/30 13:30:45 - mmengine - INFO - Epoch(train) [36][2020/2505] lr: 5.0000e-05 eta: 15:20:24 time: 0.9058 data_time: 0.0271 memory: 32703 grad_norm: 18.2407 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0724 loss: 1.0724 2022/07/30 13:31:06 - mmengine - INFO - Epoch(train) [36][2040/2505] lr: 5.0000e-05 eta: 15:20:05 time: 1.0209 data_time: 0.0310 memory: 32703 grad_norm: 18.0884 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9092 loss: 0.9092 2022/07/30 13:31:25 - mmengine - INFO - Epoch(train) [36][2060/2505] lr: 5.0000e-05 eta: 15:19:45 time: 0.9815 data_time: 0.0280 memory: 32703 grad_norm: 18.3826 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1658 loss: 1.1658 2022/07/30 13:31:45 - mmengine - INFO - Epoch(train) [36][2080/2505] lr: 5.0000e-05 eta: 15:19:25 time: 0.9916 data_time: 0.0300 memory: 32703 grad_norm: 18.6728 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2428 loss: 1.2428 2022/07/30 13:32:04 - mmengine - INFO - Epoch(train) [36][2100/2505] lr: 5.0000e-05 eta: 15:19:04 time: 0.9366 data_time: 0.0296 memory: 32703 grad_norm: 17.8213 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8934 loss: 0.8934 2022/07/30 13:32:25 - mmengine - INFO - Epoch(train) [36][2120/2505] lr: 5.0000e-05 eta: 15:18:45 time: 1.0612 data_time: 0.0307 memory: 32703 grad_norm: 18.0197 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1120 loss: 1.1120 2022/07/30 13:32:44 - mmengine - INFO - Epoch(train) [36][2140/2505] lr: 5.0000e-05 eta: 15:18:25 time: 0.9484 data_time: 0.0279 memory: 32703 grad_norm: 18.0723 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9941 loss: 0.9941 2022/07/30 13:33:06 - mmengine - INFO - Epoch(train) [36][2160/2505] lr: 5.0000e-05 eta: 15:18:06 time: 1.0904 data_time: 0.0283 memory: 32703 grad_norm: 19.8689 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2444 loss: 1.2444 2022/07/30 13:33:24 - mmengine - INFO - Epoch(train) [36][2180/2505] lr: 5.0000e-05 eta: 15:17:45 time: 0.9214 data_time: 0.0274 memory: 32703 grad_norm: 18.9507 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1073 loss: 1.1073 2022/07/30 13:33:45 - mmengine - INFO - Epoch(train) [36][2200/2505] lr: 5.0000e-05 eta: 15:17:26 time: 1.0217 data_time: 0.0295 memory: 32703 grad_norm: 18.0640 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1743 loss: 1.1743 2022/07/30 13:34:04 - mmengine - INFO - Epoch(train) [36][2220/2505] lr: 5.0000e-05 eta: 15:17:06 time: 0.9619 data_time: 0.0295 memory: 32703 grad_norm: 17.6112 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.3033 loss: 1.3033 2022/07/30 13:34:25 - mmengine - INFO - Epoch(train) [36][2240/2505] lr: 5.0000e-05 eta: 15:16:46 time: 1.0577 data_time: 0.0270 memory: 32703 grad_norm: 18.2113 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1562 loss: 1.1562 2022/07/30 13:34:43 - mmengine - INFO - Epoch(train) [36][2260/2505] lr: 5.0000e-05 eta: 15:16:25 time: 0.9002 data_time: 0.0287 memory: 32703 grad_norm: 18.7792 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0940 loss: 1.0940 2022/07/30 13:35:04 - mmengine - INFO - Epoch(train) [36][2280/2505] lr: 5.0000e-05 eta: 15:16:06 time: 1.0582 data_time: 0.0289 memory: 32703 grad_norm: 18.0880 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0670 loss: 1.0670 2022/07/30 13:35:24 - mmengine - INFO - Epoch(train) [36][2300/2505] lr: 5.0000e-05 eta: 15:15:46 time: 0.9793 data_time: 0.0283 memory: 32703 grad_norm: 18.5365 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8247 loss: 0.8247 2022/07/30 13:35:44 - mmengine - INFO - Epoch(train) [36][2320/2505] lr: 5.0000e-05 eta: 15:15:27 time: 1.0145 data_time: 0.0345 memory: 32703 grad_norm: 17.9921 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1696 loss: 1.1696 2022/07/30 13:35:48 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 13:36:03 - mmengine - INFO - Epoch(train) [36][2340/2505] lr: 5.0000e-05 eta: 15:15:07 time: 0.9666 data_time: 0.0280 memory: 32703 grad_norm: 18.0583 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1029 loss: 1.1029 2022/07/30 13:36:23 - mmengine - INFO - Epoch(train) [36][2360/2505] lr: 5.0000e-05 eta: 15:14:47 time: 0.9964 data_time: 0.0290 memory: 32703 grad_norm: 18.7167 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0184 loss: 1.0184 2022/07/30 13:36:42 - mmengine - INFO - Epoch(train) [36][2380/2505] lr: 5.0000e-05 eta: 15:14:26 time: 0.9528 data_time: 0.0290 memory: 32703 grad_norm: 18.9132 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9313 loss: 0.9313 2022/07/30 13:37:01 - mmengine - INFO - Epoch(train) [36][2400/2505] lr: 5.0000e-05 eta: 15:14:05 time: 0.9046 data_time: 0.0268 memory: 32703 grad_norm: 18.6581 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9331 loss: 0.9331 2022/07/30 13:37:21 - mmengine - INFO - Epoch(train) [36][2420/2505] lr: 5.0000e-05 eta: 15:13:46 time: 1.0423 data_time: 0.0274 memory: 32703 grad_norm: 18.5385 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8947 loss: 0.8947 2022/07/30 13:37:41 - mmengine - INFO - Epoch(train) [36][2440/2505] lr: 5.0000e-05 eta: 15:13:26 time: 0.9549 data_time: 0.0274 memory: 32703 grad_norm: 16.9474 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0889 loss: 1.0889 2022/07/30 13:38:00 - mmengine - INFO - Epoch(train) [36][2460/2505] lr: 5.0000e-05 eta: 15:13:06 time: 0.9910 data_time: 0.0307 memory: 32703 grad_norm: 18.3102 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0741 loss: 1.0741 2022/07/30 13:38:19 - mmengine - INFO - Epoch(train) [36][2480/2505] lr: 5.0000e-05 eta: 15:12:45 time: 0.9397 data_time: 0.0302 memory: 32703 grad_norm: 17.8295 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0396 loss: 1.0396 2022/07/30 13:38:37 - mmengine - INFO - Epoch(train) [36][2500/2505] lr: 5.0000e-05 eta: 15:12:25 time: 0.9148 data_time: 0.0297 memory: 32703 grad_norm: 17.9808 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0298 loss: 1.0298 2022/07/30 13:38:40 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 13:38:40 - mmengine - INFO - Epoch(train) [36][2505/2505] lr: 5.0000e-05 eta: 15:12:25 time: 0.7740 data_time: 0.0219 memory: 32703 grad_norm: 18.2611 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8850 loss: 0.8850 2022/07/30 13:38:40 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/07/30 13:38:45 - mmengine - INFO - Epoch(val) [36][20/2475] eta: 0:05:51 time: 0.1432 data_time: 0.1131 memory: 817 2022/07/30 13:38:46 - mmengine - INFO - Epoch(val) [36][40/2475] eta: 0:02:08 time: 0.0526 data_time: 0.0223 memory: 817 2022/07/30 13:38:48 - mmengine - INFO - Epoch(val) [36][60/2475] eta: 0:03:04 time: 0.0763 data_time: 0.0471 memory: 817 2022/07/30 13:38:49 - mmengine - INFO - Epoch(val) [36][80/2475] eta: 0:02:47 time: 0.0699 data_time: 0.0422 memory: 817 2022/07/30 13:38:51 - mmengine - INFO - Epoch(val) [36][100/2475] eta: 0:03:48 time: 0.0964 data_time: 0.0654 memory: 817 2022/07/30 13:38:53 - mmengine - INFO - Epoch(val) [36][120/2475] eta: 0:02:43 time: 0.0696 data_time: 0.0401 memory: 817 2022/07/30 13:38:55 - mmengine - INFO - Epoch(val) [36][140/2475] eta: 0:04:12 time: 0.1082 data_time: 0.0794 memory: 817 2022/07/30 13:38:56 - mmengine - INFO - Epoch(val) [36][160/2475] eta: 0:02:41 time: 0.0699 data_time: 0.0425 memory: 817 2022/07/30 13:38:58 - mmengine - INFO - Epoch(val) [36][180/2475] eta: 0:03:23 time: 0.0885 data_time: 0.0613 memory: 817 2022/07/30 13:38:59 - mmengine - INFO - Epoch(val) [36][200/2475] eta: 0:02:27 time: 0.0649 data_time: 0.0378 memory: 817 2022/07/30 13:39:01 - mmengine - INFO - Epoch(val) [36][220/2475] eta: 0:03:36 time: 0.0960 data_time: 0.0564 memory: 817 2022/07/30 13:39:02 - mmengine - INFO - Epoch(val) [36][240/2475] eta: 0:02:35 time: 0.0695 data_time: 0.0409 memory: 817 2022/07/30 13:39:04 - mmengine - INFO - Epoch(val) [36][260/2475] eta: 0:03:06 time: 0.0841 data_time: 0.0575 memory: 817 2022/07/30 13:39:06 - mmengine - INFO - Epoch(val) [36][280/2475] eta: 0:02:26 time: 0.0665 data_time: 0.0392 memory: 817 2022/07/30 13:39:07 - mmengine - INFO - Epoch(val) [36][300/2475] eta: 0:02:58 time: 0.0818 data_time: 0.0527 memory: 817 2022/07/30 13:39:09 - mmengine - INFO - Epoch(val) [36][320/2475] eta: 0:02:54 time: 0.0809 data_time: 0.0533 memory: 817 2022/07/30 13:39:10 - mmengine - INFO - Epoch(val) [36][340/2475] eta: 0:02:59 time: 0.0842 data_time: 0.0536 memory: 817 2022/07/30 13:39:12 - mmengine - INFO - Epoch(val) [36][360/2475] eta: 0:02:35 time: 0.0733 data_time: 0.0416 memory: 817 2022/07/30 13:39:14 - mmengine - INFO - Epoch(val) [36][380/2475] eta: 0:02:49 time: 0.0807 data_time: 0.0513 memory: 817 2022/07/30 13:39:15 - mmengine - INFO - Epoch(val) [36][400/2475] eta: 0:02:37 time: 0.0758 data_time: 0.0455 memory: 817 2022/07/30 13:39:17 - mmengine - INFO - Epoch(val) [36][420/2475] eta: 0:03:08 time: 0.0915 data_time: 0.0610 memory: 817 2022/07/30 13:39:18 - mmengine - INFO - Epoch(val) [36][440/2475] eta: 0:02:14 time: 0.0662 data_time: 0.0352 memory: 817 2022/07/30 13:39:20 - mmengine - INFO - Epoch(val) [36][460/2475] eta: 0:02:52 time: 0.0854 data_time: 0.0581 memory: 817 2022/07/30 13:39:22 - mmengine - INFO - Epoch(val) [36][480/2475] eta: 0:02:39 time: 0.0798 data_time: 0.0503 memory: 817 2022/07/30 13:39:23 - mmengine - INFO - Epoch(val) [36][500/2475] eta: 0:02:47 time: 0.0846 data_time: 0.0577 memory: 817 2022/07/30 13:39:25 - mmengine - INFO - Epoch(val) [36][520/2475] eta: 0:02:20 time: 0.0719 data_time: 0.0436 memory: 817 2022/07/30 13:39:27 - mmengine - INFO - Epoch(val) [36][540/2475] eta: 0:03:02 time: 0.0943 data_time: 0.0666 memory: 817 2022/07/30 13:39:28 - mmengine - INFO - Epoch(val) [36][560/2475] eta: 0:02:12 time: 0.0694 data_time: 0.0411 memory: 817 2022/07/30 13:39:30 - mmengine - INFO - Epoch(val) [36][580/2475] eta: 0:02:52 time: 0.0912 data_time: 0.0629 memory: 817 2022/07/30 13:39:31 - mmengine - INFO - Epoch(val) [36][600/2475] eta: 0:02:23 time: 0.0764 data_time: 0.0402 memory: 817 2022/07/30 13:39:33 - mmengine - INFO - Epoch(val) [36][620/2475] eta: 0:02:46 time: 0.0897 data_time: 0.0625 memory: 817 2022/07/30 13:39:35 - mmengine - INFO - Epoch(val) [36][640/2475] eta: 0:02:14 time: 0.0732 data_time: 0.0465 memory: 817 2022/07/30 13:39:36 - mmengine - INFO - Epoch(val) [36][660/2475] eta: 0:02:50 time: 0.0937 data_time: 0.0658 memory: 817 2022/07/30 13:39:38 - mmengine - INFO - Epoch(val) [36][680/2475] eta: 0:02:00 time: 0.0670 data_time: 0.0400 memory: 817 2022/07/30 13:39:40 - mmengine - INFO - Epoch(val) [36][700/2475] eta: 0:02:41 time: 0.0910 data_time: 0.0642 memory: 817 2022/07/30 13:39:41 - mmengine - INFO - Epoch(val) [36][720/2475] eta: 0:02:38 time: 0.0903 data_time: 0.0626 memory: 817 2022/07/30 13:39:43 - mmengine - INFO - Epoch(val) [36][740/2475] eta: 0:02:30 time: 0.0865 data_time: 0.0574 memory: 817 2022/07/30 13:39:45 - mmengine - INFO - Epoch(val) [36][760/2475] eta: 0:01:57 time: 0.0685 data_time: 0.0419 memory: 817 2022/07/30 13:39:46 - mmengine - INFO - Epoch(val) [36][780/2475] eta: 0:02:33 time: 0.0903 data_time: 0.0616 memory: 817 2022/07/30 13:39:48 - mmengine - INFO - Epoch(val) [36][800/2475] eta: 0:02:14 time: 0.0802 data_time: 0.0513 memory: 817 2022/07/30 13:39:50 - mmengine - INFO - Epoch(val) [36][820/2475] eta: 0:02:12 time: 0.0798 data_time: 0.0538 memory: 817 2022/07/30 13:39:51 - mmengine - INFO - Epoch(val) [36][840/2475] eta: 0:02:05 time: 0.0768 data_time: 0.0487 memory: 817 2022/07/30 13:39:53 - mmengine - INFO - Epoch(val) [36][860/2475] eta: 0:02:16 time: 0.0842 data_time: 0.0554 memory: 817 2022/07/30 13:39:54 - mmengine - INFO - Epoch(val) [36][880/2475] eta: 0:01:49 time: 0.0684 data_time: 0.0394 memory: 817 2022/07/30 13:39:56 - mmengine - INFO - Epoch(val) [36][900/2475] eta: 0:02:11 time: 0.0834 data_time: 0.0563 memory: 817 2022/07/30 13:39:57 - mmengine - INFO - Epoch(val) [36][920/2475] eta: 0:01:52 time: 0.0726 data_time: 0.0446 memory: 817 2022/07/30 13:39:59 - mmengine - INFO - Epoch(val) [36][940/2475] eta: 0:02:29 time: 0.0976 data_time: 0.0721 memory: 817 2022/07/30 13:40:01 - mmengine - INFO - Epoch(val) [36][960/2475] eta: 0:01:42 time: 0.0674 data_time: 0.0413 memory: 817 2022/07/30 13:40:03 - mmengine - INFO - Epoch(val) [36][980/2475] eta: 0:02:33 time: 0.1026 data_time: 0.0745 memory: 817 2022/07/30 13:40:04 - mmengine - INFO - Epoch(val) [36][1000/2475] eta: 0:02:00 time: 0.0819 data_time: 0.0550 memory: 817 2022/07/30 13:40:06 - mmengine - INFO - Epoch(val) [36][1020/2475] eta: 0:02:12 time: 0.0912 data_time: 0.0632 memory: 817 2022/07/30 13:40:07 - mmengine - INFO - Epoch(val) [36][1040/2475] eta: 0:01:30 time: 0.0630 data_time: 0.0346 memory: 817 2022/07/30 13:40:09 - mmengine - INFO - Epoch(val) [36][1060/2475] eta: 0:02:20 time: 0.0989 data_time: 0.0723 memory: 817 2022/07/30 13:40:11 - mmengine - INFO - Epoch(val) [36][1080/2475] eta: 0:01:49 time: 0.0783 data_time: 0.0441 memory: 817 2022/07/30 13:40:13 - mmengine - INFO - Epoch(val) [36][1100/2475] eta: 0:02:20 time: 0.1024 data_time: 0.0710 memory: 817 2022/07/30 13:40:14 - mmengine - INFO - Epoch(val) [36][1120/2475] eta: 0:01:33 time: 0.0690 data_time: 0.0387 memory: 817 2022/07/30 13:40:16 - mmengine - INFO - Epoch(val) [36][1140/2475] eta: 0:01:56 time: 0.0872 data_time: 0.0594 memory: 817 2022/07/30 13:40:18 - mmengine - INFO - Epoch(val) [36][1160/2475] eta: 0:01:33 time: 0.0710 data_time: 0.0427 memory: 817 2022/07/30 13:40:19 - mmengine - INFO - Epoch(val) [36][1180/2475] eta: 0:01:56 time: 0.0901 data_time: 0.0603 memory: 817 2022/07/30 13:40:21 - mmengine - INFO - Epoch(val) [36][1200/2475] eta: 0:01:46 time: 0.0832 data_time: 0.0463 memory: 817 2022/07/30 13:40:23 - mmengine - INFO - Epoch(val) [36][1220/2475] eta: 0:01:51 time: 0.0890 data_time: 0.0580 memory: 817 2022/07/30 13:40:24 - mmengine - INFO - Epoch(val) [36][1240/2475] eta: 0:01:21 time: 0.0660 data_time: 0.0370 memory: 817 2022/07/30 13:40:26 - mmengine - INFO - Epoch(val) [36][1260/2475] eta: 0:01:44 time: 0.0859 data_time: 0.0587 memory: 817 2022/07/30 13:40:27 - mmengine - INFO - Epoch(val) [36][1280/2475] eta: 0:01:33 time: 0.0786 data_time: 0.0501 memory: 817 2022/07/30 13:40:29 - mmengine - INFO - Epoch(val) [36][1300/2475] eta: 0:01:48 time: 0.0925 data_time: 0.0652 memory: 817 2022/07/30 13:40:31 - mmengine - INFO - Epoch(val) [36][1320/2475] eta: 0:01:52 time: 0.0978 data_time: 0.0487 memory: 817 2022/07/30 13:40:33 - mmengine - INFO - Epoch(val) [36][1340/2475] eta: 0:01:19 time: 0.0702 data_time: 0.0346 memory: 817 2022/07/30 13:40:34 - mmengine - INFO - Epoch(val) [36][1360/2475] eta: 0:01:37 time: 0.0879 data_time: 0.0584 memory: 817 2022/07/30 13:40:36 - mmengine - INFO - Epoch(val) [36][1380/2475] eta: 0:01:40 time: 0.0918 data_time: 0.0629 memory: 817 2022/07/30 13:40:38 - mmengine - INFO - Epoch(val) [36][1400/2475] eta: 0:01:19 time: 0.0742 data_time: 0.0474 memory: 817 2022/07/30 13:40:40 - mmengine - INFO - Epoch(val) [36][1420/2475] eta: 0:01:41 time: 0.0958 data_time: 0.0681 memory: 817 2022/07/30 13:40:41 - mmengine - INFO - Epoch(val) [36][1440/2475] eta: 0:01:11 time: 0.0687 data_time: 0.0421 memory: 817 2022/07/30 13:40:43 - mmengine - INFO - Epoch(val) [36][1460/2475] eta: 0:01:28 time: 0.0870 data_time: 0.0605 memory: 817 2022/07/30 13:40:44 - mmengine - INFO - Epoch(val) [36][1480/2475] eta: 0:01:10 time: 0.0704 data_time: 0.0406 memory: 817 2022/07/30 13:40:46 - mmengine - INFO - Epoch(val) [36][1500/2475] eta: 0:01:20 time: 0.0827 data_time: 0.0549 memory: 817 2022/07/30 13:40:47 - mmengine - INFO - Epoch(val) [36][1520/2475] eta: 0:01:06 time: 0.0696 data_time: 0.0432 memory: 817 2022/07/30 13:40:49 - mmengine - INFO - Epoch(val) [36][1540/2475] eta: 0:01:28 time: 0.0945 data_time: 0.0686 memory: 817 2022/07/30 13:40:51 - mmengine - INFO - Epoch(val) [36][1560/2475] eta: 0:01:10 time: 0.0772 data_time: 0.0493 memory: 817 2022/07/30 13:40:52 - mmengine - INFO - Epoch(val) [36][1580/2475] eta: 0:01:08 time: 0.0766 data_time: 0.0476 memory: 817 2022/07/30 13:40:54 - mmengine - INFO - Epoch(val) [36][1600/2475] eta: 0:01:24 time: 0.0966 data_time: 0.0689 memory: 817 2022/07/30 13:40:56 - mmengine - INFO - Epoch(val) [36][1620/2475] eta: 0:00:58 time: 0.0684 data_time: 0.0400 memory: 817 2022/07/30 13:40:57 - mmengine - INFO - Epoch(val) [36][1640/2475] eta: 0:01:14 time: 0.0898 data_time: 0.0616 memory: 817 2022/07/30 13:40:59 - mmengine - INFO - Epoch(val) [36][1660/2475] eta: 0:01:02 time: 0.0763 data_time: 0.0487 memory: 817 2022/07/30 13:41:01 - mmengine - INFO - Epoch(val) [36][1680/2475] eta: 0:01:08 time: 0.0857 data_time: 0.0593 memory: 817 2022/07/30 13:41:02 - mmengine - INFO - Epoch(val) [36][1700/2475] eta: 0:00:57 time: 0.0747 data_time: 0.0401 memory: 817 2022/07/30 13:41:04 - mmengine - INFO - Epoch(val) [36][1720/2475] eta: 0:01:06 time: 0.0885 data_time: 0.0621 memory: 817 2022/07/30 13:41:05 - mmengine - INFO - Epoch(val) [36][1740/2475] eta: 0:00:53 time: 0.0730 data_time: 0.0459 memory: 817 2022/07/30 13:41:07 - mmengine - INFO - Epoch(val) [36][1760/2475] eta: 0:01:02 time: 0.0873 data_time: 0.0601 memory: 817 2022/07/30 13:41:09 - mmengine - INFO - Epoch(val) [36][1780/2475] eta: 0:00:55 time: 0.0805 data_time: 0.0545 memory: 817 2022/07/30 13:41:11 - mmengine - INFO - Epoch(val) [36][1800/2475] eta: 0:01:06 time: 0.0978 data_time: 0.0714 memory: 817 2022/07/30 13:41:12 - mmengine - INFO - Epoch(val) [36][1820/2475] eta: 0:00:51 time: 0.0789 data_time: 0.0450 memory: 817 2022/07/30 13:41:14 - mmengine - INFO - Epoch(val) [36][1840/2475] eta: 0:00:53 time: 0.0847 data_time: 0.0567 memory: 817 2022/07/30 13:41:15 - mmengine - INFO - Epoch(val) [36][1860/2475] eta: 0:00:45 time: 0.0744 data_time: 0.0452 memory: 817 2022/07/30 13:41:17 - mmengine - INFO - Epoch(val) [36][1880/2475] eta: 0:00:47 time: 0.0796 data_time: 0.0521 memory: 817 2022/07/30 13:41:18 - mmengine - INFO - Epoch(val) [36][1900/2475] eta: 0:00:40 time: 0.0697 data_time: 0.0413 memory: 817 2022/07/30 13:41:20 - mmengine - INFO - Epoch(val) [36][1920/2475] eta: 0:00:42 time: 0.0774 data_time: 0.0502 memory: 817 2022/07/30 13:41:22 - mmengine - INFO - Epoch(val) [36][1940/2475] eta: 0:00:43 time: 0.0818 data_time: 0.0547 memory: 817 2022/07/30 13:41:23 - mmengine - INFO - Epoch(val) [36][1960/2475] eta: 0:00:41 time: 0.0815 data_time: 0.0533 memory: 817 2022/07/30 13:41:25 - mmengine - INFO - Epoch(val) [36][1980/2475] eta: 0:00:36 time: 0.0746 data_time: 0.0462 memory: 817 2022/07/30 13:41:26 - mmengine - INFO - Epoch(val) [36][2000/2475] eta: 0:00:37 time: 0.0786 data_time: 0.0528 memory: 817 2022/07/30 13:41:28 - mmengine - INFO - Epoch(val) [36][2020/2475] eta: 0:00:43 time: 0.0961 data_time: 0.0683 memory: 817 2022/07/30 13:41:30 - mmengine - INFO - Epoch(val) [36][2040/2475] eta: 0:00:29 time: 0.0682 data_time: 0.0412 memory: 817 2022/07/30 13:41:31 - mmengine - INFO - Epoch(val) [36][2060/2475] eta: 0:00:35 time: 0.0866 data_time: 0.0479 memory: 817 2022/07/30 13:41:33 - mmengine - INFO - Epoch(val) [36][2080/2475] eta: 0:00:30 time: 0.0778 data_time: 0.0492 memory: 817 2022/07/30 13:41:35 - mmengine - INFO - Epoch(val) [36][2100/2475] eta: 0:00:33 time: 0.0898 data_time: 0.0619 memory: 817 2022/07/30 13:41:36 - mmengine - INFO - Epoch(val) [36][2120/2475] eta: 0:00:23 time: 0.0669 data_time: 0.0396 memory: 817 2022/07/30 13:41:38 - mmengine - INFO - Epoch(val) [36][2140/2475] eta: 0:00:33 time: 0.0986 data_time: 0.0727 memory: 817 2022/07/30 13:41:40 - mmengine - INFO - Epoch(val) [36][2160/2475] eta: 0:00:24 time: 0.0763 data_time: 0.0494 memory: 817 2022/07/30 13:41:41 - mmengine - INFO - Epoch(val) [36][2180/2475] eta: 0:00:24 time: 0.0840 data_time: 0.0545 memory: 817 2022/07/30 13:41:43 - mmengine - INFO - Epoch(val) [36][2200/2475] eta: 0:00:21 time: 0.0780 data_time: 0.0493 memory: 817 2022/07/30 13:41:45 - mmengine - INFO - Epoch(val) [36][2220/2475] eta: 0:00:24 time: 0.0964 data_time: 0.0684 memory: 817 2022/07/30 13:41:46 - mmengine - INFO - Epoch(val) [36][2240/2475] eta: 0:00:16 time: 0.0698 data_time: 0.0432 memory: 817 2022/07/30 13:41:48 - mmengine - INFO - Epoch(val) [36][2260/2475] eta: 0:00:19 time: 0.0898 data_time: 0.0620 memory: 817 2022/07/30 13:41:49 - mmengine - INFO - Epoch(val) [36][2280/2475] eta: 0:00:12 time: 0.0647 data_time: 0.0367 memory: 817 2022/07/30 13:41:51 - mmengine - INFO - Epoch(val) [36][2300/2475] eta: 0:00:16 time: 0.0930 data_time: 0.0667 memory: 817 2022/07/30 13:41:53 - mmengine - INFO - Epoch(val) [36][2320/2475] eta: 0:00:11 time: 0.0725 data_time: 0.0456 memory: 817 2022/07/30 13:41:54 - mmengine - INFO - Epoch(val) [36][2340/2475] eta: 0:00:10 time: 0.0806 data_time: 0.0504 memory: 817 2022/07/30 13:41:56 - mmengine - INFO - Epoch(val) [36][2360/2475] eta: 0:00:07 time: 0.0694 data_time: 0.0421 memory: 817 2022/07/30 13:41:57 - mmengine - INFO - Epoch(val) [36][2380/2475] eta: 0:00:09 time: 0.0950 data_time: 0.0679 memory: 817 2022/07/30 13:41:59 - mmengine - INFO - Epoch(val) [36][2400/2475] eta: 0:00:05 time: 0.0722 data_time: 0.0439 memory: 817 2022/07/30 13:42:01 - mmengine - INFO - Epoch(val) [36][2420/2475] eta: 0:00:04 time: 0.0901 data_time: 0.0625 memory: 817 2022/07/30 13:42:02 - mmengine - INFO - Epoch(val) [36][2440/2475] eta: 0:00:02 time: 0.0590 data_time: 0.0263 memory: 817 2022/07/30 13:42:02 - mmengine - INFO - Epoch(val) [36][2460/2475] eta: 0:00:00 time: 0.0284 data_time: 0.0032 memory: 817 2022/07/30 13:42:04 - mmengine - INFO - Epoch(val) [36][2475/2475] acc/top1: 0.7570 acc/top5: 0.9194 acc/mean1: 0.7569 2022/07/30 13:42:04 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_34.pth is removed 2022/07/30 13:42:07 - mmengine - INFO - The best checkpoint with 0.7570 acc/top1 at 37 epoch is saved to best_acc/top1_epoch_37.pth. 2022/07/30 13:42:33 - mmengine - INFO - Epoch(train) [37][20/2505] lr: 5.0000e-05 eta: 15:12:00 time: 1.2797 data_time: 0.6781 memory: 32703 grad_norm: 18.3001 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2016 loss: 1.2016 2022/07/30 13:42:52 - mmengine - INFO - Epoch(train) [37][40/2505] lr: 5.0000e-05 eta: 15:11:40 time: 0.9403 data_time: 0.3194 memory: 32703 grad_norm: 18.6070 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0105 loss: 1.0105 2022/07/30 13:43:13 - mmengine - INFO - Epoch(train) [37][60/2505] lr: 5.0000e-05 eta: 15:11:21 time: 1.0760 data_time: 0.4620 memory: 32703 grad_norm: 18.3327 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0099 loss: 1.0099 2022/07/30 13:43:31 - mmengine - INFO - Epoch(train) [37][80/2505] lr: 5.0000e-05 eta: 15:11:00 time: 0.9044 data_time: 0.3116 memory: 32703 grad_norm: 17.6711 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1809 loss: 1.1809 2022/07/30 13:43:52 - mmengine - INFO - Epoch(train) [37][100/2505] lr: 5.0000e-05 eta: 15:10:41 time: 1.0576 data_time: 0.4482 memory: 32703 grad_norm: 17.5459 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8293 loss: 0.8293 2022/07/30 13:44:10 - mmengine - INFO - Epoch(train) [37][120/2505] lr: 5.0000e-05 eta: 15:10:19 time: 0.8712 data_time: 0.2698 memory: 32703 grad_norm: 19.5480 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9931 loss: 0.9931 2022/07/30 13:44:31 - mmengine - INFO - Epoch(train) [37][140/2505] lr: 5.0000e-05 eta: 15:10:01 time: 1.0706 data_time: 0.3641 memory: 32703 grad_norm: 17.8225 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0004 loss: 1.0004 2022/07/30 13:44:50 - mmengine - INFO - Epoch(train) [37][160/2505] lr: 5.0000e-05 eta: 15:09:40 time: 0.9232 data_time: 0.2796 memory: 32703 grad_norm: 18.1171 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8927 loss: 0.8927 2022/07/30 13:45:11 - mmengine - INFO - Epoch(train) [37][180/2505] lr: 5.0000e-05 eta: 15:09:21 time: 1.0885 data_time: 0.2127 memory: 32703 grad_norm: 18.1721 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0188 loss: 1.0188 2022/07/30 13:45:29 - mmengine - INFO - Epoch(train) [37][200/2505] lr: 5.0000e-05 eta: 15:09:00 time: 0.8792 data_time: 0.1847 memory: 32703 grad_norm: 18.3166 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2072 loss: 1.2072 2022/07/30 13:45:51 - mmengine - INFO - Epoch(train) [37][220/2505] lr: 5.0000e-05 eta: 15:08:41 time: 1.1037 data_time: 0.3328 memory: 32703 grad_norm: 17.9360 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0094 loss: 1.0094 2022/07/30 13:46:08 - mmengine - INFO - Epoch(train) [37][240/2505] lr: 5.0000e-05 eta: 15:08:20 time: 0.8756 data_time: 0.2523 memory: 32703 grad_norm: 18.0227 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0332 loss: 1.0332 2022/07/30 13:46:30 - mmengine - INFO - Epoch(train) [37][260/2505] lr: 5.0000e-05 eta: 15:08:01 time: 1.0795 data_time: 0.3724 memory: 32703 grad_norm: 17.8752 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1495 loss: 1.1495 2022/07/30 13:46:47 - mmengine - INFO - Epoch(train) [37][280/2505] lr: 5.0000e-05 eta: 15:07:40 time: 0.8628 data_time: 0.1531 memory: 32703 grad_norm: 18.2631 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0102 loss: 1.0102 2022/07/30 13:47:09 - mmengine - INFO - Epoch(train) [37][300/2505] lr: 5.0000e-05 eta: 15:07:21 time: 1.0610 data_time: 0.1819 memory: 32703 grad_norm: 17.8340 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9410 loss: 0.9410 2022/07/30 13:47:27 - mmengine - INFO - Epoch(train) [37][320/2505] lr: 5.0000e-05 eta: 15:07:00 time: 0.9283 data_time: 0.0880 memory: 32703 grad_norm: 18.2637 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1801 loss: 1.1801 2022/07/30 13:47:48 - mmengine - INFO - Epoch(train) [37][340/2505] lr: 5.0000e-05 eta: 15:06:41 time: 1.0303 data_time: 0.1018 memory: 32703 grad_norm: 18.6961 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0762 loss: 1.0762 2022/07/30 13:48:06 - mmengine - INFO - Epoch(train) [37][360/2505] lr: 5.0000e-05 eta: 15:06:20 time: 0.9258 data_time: 0.1333 memory: 32703 grad_norm: 18.3222 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0626 loss: 1.0626 2022/07/30 13:48:26 - mmengine - INFO - Epoch(train) [37][380/2505] lr: 5.0000e-05 eta: 15:06:00 time: 0.9884 data_time: 0.1722 memory: 32703 grad_norm: 18.4011 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9696 loss: 0.9696 2022/07/30 13:48:46 - mmengine - INFO - Epoch(train) [37][400/2505] lr: 5.0000e-05 eta: 15:05:40 time: 1.0148 data_time: 0.2137 memory: 32703 grad_norm: 18.2385 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9314 loss: 0.9314 2022/07/30 13:49:06 - mmengine - INFO - Epoch(train) [37][420/2505] lr: 5.0000e-05 eta: 15:05:20 time: 0.9682 data_time: 0.1765 memory: 32703 grad_norm: 18.5895 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9314 loss: 0.9314 2022/07/30 13:49:26 - mmengine - INFO - Epoch(train) [37][440/2505] lr: 5.0000e-05 eta: 15:05:01 time: 1.0354 data_time: 0.2660 memory: 32703 grad_norm: 19.7756 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0836 loss: 1.0836 2022/07/30 13:49:46 - mmengine - INFO - Epoch(train) [37][460/2505] lr: 5.0000e-05 eta: 15:04:41 time: 0.9713 data_time: 0.2068 memory: 32703 grad_norm: 17.6228 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8990 loss: 0.8990 2022/07/30 13:50:05 - mmengine - INFO - Epoch(train) [37][480/2505] lr: 5.0000e-05 eta: 15:04:20 time: 0.9465 data_time: 0.2138 memory: 32703 grad_norm: 18.7093 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0591 loss: 1.0591 2022/07/30 13:50:25 - mmengine - INFO - Epoch(train) [37][500/2505] lr: 5.0000e-05 eta: 15:04:01 time: 1.0223 data_time: 0.1891 memory: 32703 grad_norm: 18.9807 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0911 loss: 1.0911 2022/07/30 13:50:46 - mmengine - INFO - Epoch(train) [37][520/2505] lr: 5.0000e-05 eta: 15:03:41 time: 1.0197 data_time: 0.1001 memory: 32703 grad_norm: 18.5201 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9670 loss: 0.9670 2022/07/30 13:51:04 - mmengine - INFO - Epoch(train) [37][540/2505] lr: 5.0000e-05 eta: 15:03:20 time: 0.9083 data_time: 0.1005 memory: 32703 grad_norm: 17.5720 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9529 loss: 0.9529 2022/07/30 13:51:24 - mmengine - INFO - Epoch(train) [37][560/2505] lr: 5.0000e-05 eta: 15:03:01 time: 1.0134 data_time: 0.1632 memory: 32703 grad_norm: 18.5290 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.3492 loss: 1.3492 2022/07/30 13:51:44 - mmengine - INFO - Epoch(train) [37][580/2505] lr: 5.0000e-05 eta: 15:02:41 time: 0.9954 data_time: 0.3536 memory: 32703 grad_norm: 17.8083 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9710 loss: 0.9710 2022/07/30 13:52:04 - mmengine - INFO - Epoch(train) [37][600/2505] lr: 5.0000e-05 eta: 15:02:21 time: 0.9771 data_time: 0.2308 memory: 32703 grad_norm: 17.6000 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1288 loss: 1.1288 2022/07/30 13:52:23 - mmengine - INFO - Epoch(train) [37][620/2505] lr: 5.0000e-05 eta: 15:02:01 time: 0.9704 data_time: 0.0638 memory: 32703 grad_norm: 18.5014 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2691 loss: 1.2691 2022/07/30 13:52:43 - mmengine - INFO - Epoch(train) [37][640/2505] lr: 5.0000e-05 eta: 15:01:41 time: 1.0052 data_time: 0.0291 memory: 32703 grad_norm: 17.5268 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9239 loss: 0.9239 2022/07/30 13:53:01 - mmengine - INFO - Epoch(train) [37][660/2505] lr: 5.0000e-05 eta: 15:01:20 time: 0.9011 data_time: 0.0279 memory: 32703 grad_norm: 18.0621 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8164 loss: 0.8164 2022/07/30 13:53:22 - mmengine - INFO - Epoch(train) [37][680/2505] lr: 5.0000e-05 eta: 15:01:01 time: 1.0304 data_time: 0.0275 memory: 32703 grad_norm: 19.0465 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1391 loss: 1.1391 2022/07/30 13:53:39 - mmengine - INFO - Epoch(train) [37][700/2505] lr: 5.0000e-05 eta: 15:00:39 time: 0.8802 data_time: 0.1127 memory: 32703 grad_norm: 18.7149 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9097 loss: 0.9097 2022/07/30 13:54:00 - mmengine - INFO - Epoch(train) [37][720/2505] lr: 5.0000e-05 eta: 15:00:20 time: 1.0148 data_time: 0.0350 memory: 32703 grad_norm: 17.9743 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1717 loss: 1.1717 2022/07/30 13:54:20 - mmengine - INFO - Epoch(train) [37][740/2505] lr: 5.0000e-05 eta: 15:00:00 time: 1.0035 data_time: 0.1078 memory: 32703 grad_norm: 18.2657 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1673 loss: 1.1673 2022/07/30 13:54:39 - mmengine - INFO - Epoch(train) [37][760/2505] lr: 5.0000e-05 eta: 14:59:40 time: 0.9782 data_time: 0.0454 memory: 32703 grad_norm: 17.7460 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0847 loss: 1.0847 2022/07/30 13:54:59 - mmengine - INFO - Epoch(train) [37][780/2505] lr: 5.0000e-05 eta: 14:59:20 time: 0.9958 data_time: 0.0282 memory: 32703 grad_norm: 18.6763 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0645 loss: 1.0645 2022/07/30 13:55:18 - mmengine - INFO - Epoch(train) [37][800/2505] lr: 5.0000e-05 eta: 14:59:00 time: 0.9454 data_time: 0.0444 memory: 32703 grad_norm: 18.2471 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8864 loss: 0.8864 2022/07/30 13:55:39 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 13:55:39 - mmengine - INFO - Epoch(train) [37][820/2505] lr: 5.0000e-05 eta: 14:58:41 time: 1.0568 data_time: 0.0267 memory: 32703 grad_norm: 18.6283 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1018 loss: 1.1018 2022/07/30 13:55:59 - mmengine - INFO - Epoch(train) [37][840/2505] lr: 5.0000e-05 eta: 14:58:21 time: 0.9830 data_time: 0.0276 memory: 32703 grad_norm: 18.9105 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1935 loss: 1.1935 2022/07/30 13:56:20 - mmengine - INFO - Epoch(train) [37][860/2505] lr: 5.0000e-05 eta: 14:58:01 time: 1.0272 data_time: 0.0285 memory: 32703 grad_norm: 17.6123 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0766 loss: 1.0766 2022/07/30 13:56:39 - mmengine - INFO - Epoch(train) [37][880/2505] lr: 5.0000e-05 eta: 14:57:41 time: 0.9381 data_time: 0.0541 memory: 32703 grad_norm: 19.5270 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0269 loss: 1.0269 2022/07/30 13:56:59 - mmengine - INFO - Epoch(train) [37][900/2505] lr: 5.0000e-05 eta: 14:57:22 time: 1.0533 data_time: 0.0463 memory: 32703 grad_norm: 18.0960 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0135 loss: 1.0135 2022/07/30 13:57:19 - mmengine - INFO - Epoch(train) [37][920/2505] lr: 5.0000e-05 eta: 14:57:01 time: 0.9733 data_time: 0.0267 memory: 32703 grad_norm: 17.8072 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9711 loss: 0.9711 2022/07/30 13:57:39 - mmengine - INFO - Epoch(train) [37][940/2505] lr: 5.0000e-05 eta: 14:56:42 time: 1.0230 data_time: 0.0295 memory: 32703 grad_norm: 18.4707 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1498 loss: 1.1498 2022/07/30 13:57:59 - mmengine - INFO - Epoch(train) [37][960/2505] lr: 5.0000e-05 eta: 14:56:22 time: 0.9644 data_time: 0.0275 memory: 32703 grad_norm: 18.4972 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.3620 loss: 1.3620 2022/07/30 13:58:18 - mmengine - INFO - Epoch(train) [37][980/2505] lr: 5.0000e-05 eta: 14:56:02 time: 0.9913 data_time: 0.0319 memory: 32703 grad_norm: 18.6585 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9640 loss: 0.9640 2022/07/30 13:58:37 - mmengine - INFO - Epoch(train) [37][1000/2505] lr: 5.0000e-05 eta: 14:55:41 time: 0.9434 data_time: 0.0256 memory: 32703 grad_norm: 18.3816 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.0021 loss: 1.0021 2022/07/30 13:58:58 - mmengine - INFO - Epoch(train) [37][1020/2505] lr: 5.0000e-05 eta: 14:55:22 time: 1.0326 data_time: 0.0415 memory: 32703 grad_norm: 18.5470 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0657 loss: 1.0657 2022/07/30 13:59:17 - mmengine - INFO - Epoch(train) [37][1040/2505] lr: 5.0000e-05 eta: 14:55:01 time: 0.9280 data_time: 0.0262 memory: 32703 grad_norm: 19.7079 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1587 loss: 1.1587 2022/07/30 13:59:37 - mmengine - INFO - Epoch(train) [37][1060/2505] lr: 5.0000e-05 eta: 14:54:42 time: 1.0264 data_time: 0.0368 memory: 32703 grad_norm: 18.6637 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0413 loss: 1.0413 2022/07/30 13:59:56 - mmengine - INFO - Epoch(train) [37][1080/2505] lr: 5.0000e-05 eta: 14:54:21 time: 0.9324 data_time: 0.0333 memory: 32703 grad_norm: 18.4884 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0818 loss: 1.0818 2022/07/30 14:00:18 - mmengine - INFO - Epoch(train) [37][1100/2505] lr: 5.0000e-05 eta: 14:54:03 time: 1.1150 data_time: 0.0325 memory: 32703 grad_norm: 18.1026 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1516 loss: 1.1516 2022/07/30 14:00:35 - mmengine - INFO - Epoch(train) [37][1120/2505] lr: 5.0000e-05 eta: 14:53:41 time: 0.8440 data_time: 0.0260 memory: 32703 grad_norm: 18.8534 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0923 loss: 1.0923 2022/07/30 14:00:56 - mmengine - INFO - Epoch(train) [37][1140/2505] lr: 5.0000e-05 eta: 14:53:22 time: 1.0773 data_time: 0.0347 memory: 32703 grad_norm: 19.0161 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1912 loss: 1.1912 2022/07/30 14:01:15 - mmengine - INFO - Epoch(train) [37][1160/2505] lr: 5.0000e-05 eta: 14:53:01 time: 0.9029 data_time: 0.0300 memory: 32703 grad_norm: 18.7591 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0915 loss: 1.0915 2022/07/30 14:01:36 - mmengine - INFO - Epoch(train) [37][1180/2505] lr: 5.0000e-05 eta: 14:52:43 time: 1.0756 data_time: 0.0339 memory: 32703 grad_norm: 18.7146 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0019 loss: 1.0019 2022/07/30 14:01:53 - mmengine - INFO - Epoch(train) [37][1200/2505] lr: 5.0000e-05 eta: 14:52:21 time: 0.8668 data_time: 0.0263 memory: 32703 grad_norm: 18.7037 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0172 loss: 1.0172 2022/07/30 14:02:16 - mmengine - INFO - Epoch(train) [37][1220/2505] lr: 5.0000e-05 eta: 14:52:03 time: 1.1069 data_time: 0.0291 memory: 32703 grad_norm: 17.7821 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0453 loss: 1.0453 2022/07/30 14:02:33 - mmengine - INFO - Epoch(train) [37][1240/2505] lr: 5.0000e-05 eta: 14:51:41 time: 0.8741 data_time: 0.0271 memory: 32703 grad_norm: 18.1115 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0323 loss: 1.0323 2022/07/30 14:02:54 - mmengine - INFO - Epoch(train) [37][1260/2505] lr: 5.0000e-05 eta: 14:51:22 time: 1.0253 data_time: 0.0303 memory: 32703 grad_norm: 18.0189 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9229 loss: 0.9229 2022/07/30 14:03:12 - mmengine - INFO - Epoch(train) [37][1280/2505] lr: 5.0000e-05 eta: 14:51:01 time: 0.9062 data_time: 0.0363 memory: 32703 grad_norm: 17.9786 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0325 loss: 1.0325 2022/07/30 14:03:33 - mmengine - INFO - Epoch(train) [37][1300/2505] lr: 5.0000e-05 eta: 14:50:42 time: 1.0495 data_time: 0.1102 memory: 32703 grad_norm: 18.1071 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8974 loss: 0.8974 2022/07/30 14:03:51 - mmengine - INFO - Epoch(train) [37][1320/2505] lr: 5.0000e-05 eta: 14:50:21 time: 0.9067 data_time: 0.0687 memory: 32703 grad_norm: 18.9570 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1545 loss: 1.1545 2022/07/30 14:04:12 - mmengine - INFO - Epoch(train) [37][1340/2505] lr: 5.0000e-05 eta: 14:50:02 time: 1.0599 data_time: 0.0715 memory: 32703 grad_norm: 17.3135 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8587 loss: 0.8587 2022/07/30 14:04:30 - mmengine - INFO - Epoch(train) [37][1360/2505] lr: 5.0000e-05 eta: 14:49:41 time: 0.8943 data_time: 0.0705 memory: 32703 grad_norm: 18.1888 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0016 loss: 1.0016 2022/07/30 14:04:52 - mmengine - INFO - Epoch(train) [37][1380/2505] lr: 5.0000e-05 eta: 14:49:22 time: 1.0778 data_time: 0.0288 memory: 32703 grad_norm: 18.8510 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1246 loss: 1.1246 2022/07/30 14:05:10 - mmengine - INFO - Epoch(train) [37][1400/2505] lr: 5.0000e-05 eta: 14:49:02 time: 0.9422 data_time: 0.0312 memory: 32703 grad_norm: 18.5050 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.3409 loss: 1.3409 2022/07/30 14:05:32 - mmengine - INFO - Epoch(train) [37][1420/2505] lr: 5.0000e-05 eta: 14:48:43 time: 1.0972 data_time: 0.0275 memory: 32703 grad_norm: 18.7228 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1439 loss: 1.1439 2022/07/30 14:05:50 - mmengine - INFO - Epoch(train) [37][1440/2505] lr: 5.0000e-05 eta: 14:48:22 time: 0.8956 data_time: 0.0308 memory: 32703 grad_norm: 19.0356 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1043 loss: 1.1043 2022/07/30 14:06:11 - mmengine - INFO - Epoch(train) [37][1460/2505] lr: 5.0000e-05 eta: 14:48:03 time: 1.0431 data_time: 0.0477 memory: 32703 grad_norm: 17.4248 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8852 loss: 0.8852 2022/07/30 14:06:29 - mmengine - INFO - Epoch(train) [37][1480/2505] lr: 5.0000e-05 eta: 14:47:42 time: 0.9163 data_time: 0.0260 memory: 32703 grad_norm: 18.8150 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0429 loss: 1.0429 2022/07/30 14:06:50 - mmengine - INFO - Epoch(train) [37][1500/2505] lr: 5.0000e-05 eta: 14:47:22 time: 1.0189 data_time: 0.0290 memory: 32703 grad_norm: 19.1256 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3633 loss: 1.3633 2022/07/30 14:07:07 - mmengine - INFO - Epoch(train) [37][1520/2505] lr: 5.0000e-05 eta: 14:47:01 time: 0.8755 data_time: 0.0296 memory: 32703 grad_norm: 18.7489 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.1186 loss: 1.1186 2022/07/30 14:07:29 - mmengine - INFO - Epoch(train) [37][1540/2505] lr: 5.0000e-05 eta: 14:46:42 time: 1.0788 data_time: 0.0376 memory: 32703 grad_norm: 17.6330 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9850 loss: 0.9850 2022/07/30 14:07:47 - mmengine - INFO - Epoch(train) [37][1560/2505] lr: 5.0000e-05 eta: 14:46:21 time: 0.9174 data_time: 0.0328 memory: 32703 grad_norm: 18.1773 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9577 loss: 0.9577 2022/07/30 14:08:08 - mmengine - INFO - Epoch(train) [37][1580/2505] lr: 5.0000e-05 eta: 14:46:02 time: 1.0490 data_time: 0.0327 memory: 32703 grad_norm: 19.0162 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2311 loss: 1.2311 2022/07/30 14:08:27 - mmengine - INFO - Epoch(train) [37][1600/2505] lr: 5.0000e-05 eta: 14:45:42 time: 0.9229 data_time: 0.0287 memory: 32703 grad_norm: 17.9796 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0471 loss: 1.0471 2022/07/30 14:08:48 - mmengine - INFO - Epoch(train) [37][1620/2505] lr: 5.0000e-05 eta: 14:45:23 time: 1.0796 data_time: 0.0330 memory: 32703 grad_norm: 19.4005 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8986 loss: 0.8986 2022/07/30 14:09:06 - mmengine - INFO - Epoch(train) [37][1640/2505] lr: 5.0000e-05 eta: 14:45:01 time: 0.8576 data_time: 0.0337 memory: 32703 grad_norm: 18.4940 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8897 loss: 0.8897 2022/07/30 14:09:26 - mmengine - INFO - Epoch(train) [37][1660/2505] lr: 5.0000e-05 eta: 14:44:42 time: 1.0495 data_time: 0.0328 memory: 32703 grad_norm: 17.7454 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9359 loss: 0.9359 2022/07/30 14:09:45 - mmengine - INFO - Epoch(train) [37][1680/2505] lr: 5.0000e-05 eta: 14:44:21 time: 0.9089 data_time: 0.0439 memory: 32703 grad_norm: 18.8508 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0289 loss: 1.0289 2022/07/30 14:10:06 - mmengine - INFO - Epoch(train) [37][1700/2505] lr: 5.0000e-05 eta: 14:44:02 time: 1.0756 data_time: 0.0327 memory: 32703 grad_norm: 18.5772 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0462 loss: 1.0462 2022/07/30 14:10:24 - mmengine - INFO - Epoch(train) [37][1720/2505] lr: 5.0000e-05 eta: 14:43:41 time: 0.8817 data_time: 0.0298 memory: 32703 grad_norm: 19.7118 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9161 loss: 0.9161 2022/07/30 14:10:44 - mmengine - INFO - Epoch(train) [37][1740/2505] lr: 5.0000e-05 eta: 14:43:22 time: 1.0250 data_time: 0.0276 memory: 32703 grad_norm: 19.0504 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9751 loss: 0.9751 2022/07/30 14:11:03 - mmengine - INFO - Epoch(train) [37][1760/2505] lr: 5.0000e-05 eta: 14:43:01 time: 0.9451 data_time: 0.0298 memory: 32703 grad_norm: 18.3115 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1547 loss: 1.1547 2022/07/30 14:11:24 - mmengine - INFO - Epoch(train) [37][1780/2505] lr: 5.0000e-05 eta: 14:42:42 time: 1.0240 data_time: 0.0288 memory: 32703 grad_norm: 17.5842 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1536 loss: 1.1536 2022/07/30 14:11:43 - mmengine - INFO - Epoch(train) [37][1800/2505] lr: 5.0000e-05 eta: 14:42:22 time: 0.9694 data_time: 0.0349 memory: 32703 grad_norm: 18.3700 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9766 loss: 0.9766 2022/07/30 14:12:03 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 14:12:03 - mmengine - INFO - Epoch(train) [37][1820/2505] lr: 5.0000e-05 eta: 14:42:02 time: 1.0050 data_time: 0.0275 memory: 32703 grad_norm: 18.2644 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1642 loss: 1.1642 2022/07/30 14:12:22 - mmengine - INFO - Epoch(train) [37][1840/2505] lr: 5.0000e-05 eta: 14:41:41 time: 0.9455 data_time: 0.0298 memory: 32703 grad_norm: 18.1918 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0778 loss: 1.0778 2022/07/30 14:12:42 - mmengine - INFO - Epoch(train) [37][1860/2505] lr: 5.0000e-05 eta: 14:41:22 time: 1.0089 data_time: 0.0291 memory: 32703 grad_norm: 18.1491 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0329 loss: 1.0329 2022/07/30 14:13:02 - mmengine - INFO - Epoch(train) [37][1880/2505] lr: 5.0000e-05 eta: 14:41:02 time: 0.9808 data_time: 0.0298 memory: 32703 grad_norm: 19.2199 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9705 loss: 0.9705 2022/07/30 14:13:22 - mmengine - INFO - Epoch(train) [37][1900/2505] lr: 5.0000e-05 eta: 14:40:42 time: 0.9887 data_time: 0.0272 memory: 32703 grad_norm: 18.7000 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1787 loss: 1.1787 2022/07/30 14:13:42 - mmengine - INFO - Epoch(train) [37][1920/2505] lr: 5.0000e-05 eta: 14:40:22 time: 1.0092 data_time: 0.0276 memory: 32703 grad_norm: 17.8156 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0815 loss: 1.0815 2022/07/30 14:14:01 - mmengine - INFO - Epoch(train) [37][1940/2505] lr: 5.0000e-05 eta: 14:40:02 time: 0.9545 data_time: 0.0265 memory: 32703 grad_norm: 17.7585 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0877 loss: 1.0877 2022/07/30 14:14:21 - mmengine - INFO - Epoch(train) [37][1960/2505] lr: 5.0000e-05 eta: 14:39:42 time: 0.9816 data_time: 0.0264 memory: 32703 grad_norm: 18.0748 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1197 loss: 1.1197 2022/07/30 14:14:40 - mmengine - INFO - Epoch(train) [37][1980/2505] lr: 5.0000e-05 eta: 14:39:22 time: 0.9702 data_time: 0.0265 memory: 32703 grad_norm: 18.4285 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0049 loss: 1.0049 2022/07/30 14:15:00 - mmengine - INFO - Epoch(train) [37][2000/2505] lr: 5.0000e-05 eta: 14:39:02 time: 1.0081 data_time: 0.0380 memory: 32703 grad_norm: 18.5616 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1949 loss: 1.1949 2022/07/30 14:15:20 - mmengine - INFO - Epoch(train) [37][2020/2505] lr: 5.0000e-05 eta: 14:38:42 time: 0.9777 data_time: 0.0282 memory: 32703 grad_norm: 18.0543 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9940 loss: 0.9940 2022/07/30 14:15:40 - mmengine - INFO - Epoch(train) [37][2040/2505] lr: 5.0000e-05 eta: 14:38:22 time: 1.0189 data_time: 0.0270 memory: 32703 grad_norm: 19.1121 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9674 loss: 0.9674 2022/07/30 14:16:00 - mmengine - INFO - Epoch(train) [37][2060/2505] lr: 5.0000e-05 eta: 14:38:02 time: 0.9802 data_time: 0.0286 memory: 32703 grad_norm: 18.0310 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0738 loss: 1.0738 2022/07/30 14:16:19 - mmengine - INFO - Epoch(train) [37][2080/2505] lr: 5.0000e-05 eta: 14:37:42 time: 0.9541 data_time: 0.0272 memory: 32703 grad_norm: 18.0738 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1820 loss: 1.1820 2022/07/30 14:16:39 - mmengine - INFO - Epoch(train) [37][2100/2505] lr: 5.0000e-05 eta: 14:37:23 time: 1.0156 data_time: 0.0295 memory: 32703 grad_norm: 18.9945 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1188 loss: 1.1188 2022/07/30 14:16:58 - mmengine - INFO - Epoch(train) [37][2120/2505] lr: 5.0000e-05 eta: 14:37:02 time: 0.9601 data_time: 0.0271 memory: 32703 grad_norm: 17.6683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9691 loss: 0.9691 2022/07/30 14:17:18 - mmengine - INFO - Epoch(train) [37][2140/2505] lr: 5.0000e-05 eta: 14:36:42 time: 0.9857 data_time: 0.1219 memory: 32703 grad_norm: 17.9754 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9553 loss: 0.9553 2022/07/30 14:17:38 - mmengine - INFO - Epoch(train) [37][2160/2505] lr: 5.0000e-05 eta: 14:36:22 time: 0.9823 data_time: 0.2371 memory: 32703 grad_norm: 18.6415 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9649 loss: 0.9649 2022/07/30 14:17:57 - mmengine - INFO - Epoch(train) [37][2180/2505] lr: 5.0000e-05 eta: 14:36:02 time: 0.9861 data_time: 0.2411 memory: 32703 grad_norm: 18.9736 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0478 loss: 1.0478 2022/07/30 14:18:18 - mmengine - INFO - Epoch(train) [37][2200/2505] lr: 5.0000e-05 eta: 14:35:43 time: 1.0167 data_time: 0.1449 memory: 32703 grad_norm: 19.0085 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9301 loss: 0.9301 2022/07/30 14:18:37 - mmengine - INFO - Epoch(train) [37][2220/2505] lr: 5.0000e-05 eta: 14:35:23 time: 0.9665 data_time: 0.1747 memory: 32703 grad_norm: 18.4235 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0910 loss: 1.0910 2022/07/30 14:18:56 - mmengine - INFO - Epoch(train) [37][2240/2505] lr: 5.0000e-05 eta: 14:35:02 time: 0.9278 data_time: 0.1227 memory: 32703 grad_norm: 18.4593 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0765 loss: 1.0765 2022/07/30 14:19:17 - mmengine - INFO - Epoch(train) [37][2260/2505] lr: 5.0000e-05 eta: 14:34:43 time: 1.0497 data_time: 0.1593 memory: 32703 grad_norm: 18.1552 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1560 loss: 1.1560 2022/07/30 14:19:36 - mmengine - INFO - Epoch(train) [37][2280/2505] lr: 5.0000e-05 eta: 14:34:23 time: 0.9739 data_time: 0.1224 memory: 32703 grad_norm: 17.9502 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1104 loss: 1.1104 2022/07/30 14:19:56 - mmengine - INFO - Epoch(train) [37][2300/2505] lr: 5.0000e-05 eta: 14:34:03 time: 0.9682 data_time: 0.1057 memory: 32703 grad_norm: 18.0678 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2364 loss: 1.2364 2022/07/30 14:20:15 - mmengine - INFO - Epoch(train) [37][2320/2505] lr: 5.0000e-05 eta: 14:33:43 time: 0.9871 data_time: 0.0265 memory: 32703 grad_norm: 18.0088 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1374 loss: 1.1374 2022/07/30 14:20:36 - mmengine - INFO - Epoch(train) [37][2340/2505] lr: 5.0000e-05 eta: 14:33:23 time: 1.0158 data_time: 0.0304 memory: 32703 grad_norm: 18.3071 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9273 loss: 0.9273 2022/07/30 14:20:54 - mmengine - INFO - Epoch(train) [37][2360/2505] lr: 5.0000e-05 eta: 14:33:03 time: 0.9381 data_time: 0.0273 memory: 32703 grad_norm: 18.2495 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0935 loss: 1.0935 2022/07/30 14:21:16 - mmengine - INFO - Epoch(train) [37][2380/2505] lr: 5.0000e-05 eta: 14:32:44 time: 1.0800 data_time: 0.0305 memory: 32703 grad_norm: 18.9457 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0036 loss: 1.0036 2022/07/30 14:21:34 - mmengine - INFO - Epoch(train) [37][2400/2505] lr: 5.0000e-05 eta: 14:32:23 time: 0.8980 data_time: 0.0389 memory: 32703 grad_norm: 18.0073 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0107 loss: 1.0107 2022/07/30 14:21:55 - mmengine - INFO - Epoch(train) [37][2420/2505] lr: 5.0000e-05 eta: 14:32:03 time: 1.0320 data_time: 0.0370 memory: 32703 grad_norm: 17.8269 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2009 loss: 1.2009 2022/07/30 14:22:12 - mmengine - INFO - Epoch(train) [37][2440/2505] lr: 5.0000e-05 eta: 14:31:42 time: 0.8891 data_time: 0.0298 memory: 32703 grad_norm: 17.9989 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0330 loss: 1.0330 2022/07/30 14:22:33 - mmengine - INFO - Epoch(train) [37][2460/2505] lr: 5.0000e-05 eta: 14:31:23 time: 1.0330 data_time: 0.0607 memory: 32703 grad_norm: 19.0966 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0400 loss: 1.0400 2022/07/30 14:22:53 - mmengine - INFO - Epoch(train) [37][2480/2505] lr: 5.0000e-05 eta: 14:31:03 time: 0.9911 data_time: 0.0855 memory: 32703 grad_norm: 18.9263 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9088 loss: 0.9088 2022/07/30 14:23:10 - mmengine - INFO - Epoch(train) [37][2500/2505] lr: 5.0000e-05 eta: 14:30:42 time: 0.8669 data_time: 0.0304 memory: 32703 grad_norm: 19.0272 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1023 loss: 1.1023 2022/07/30 14:23:13 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 14:23:13 - mmengine - INFO - Epoch(train) [37][2505/2505] lr: 5.0000e-05 eta: 14:30:42 time: 0.7975 data_time: 0.0205 memory: 32703 grad_norm: 19.1076 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.1807 loss: 1.1807 2022/07/30 14:23:40 - mmengine - INFO - Epoch(train) [38][20/2505] lr: 5.0000e-05 eta: 14:30:18 time: 1.3344 data_time: 0.7177 memory: 32703 grad_norm: 17.8506 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1131 loss: 1.1131 2022/07/30 14:23:58 - mmengine - INFO - Epoch(train) [38][40/2505] lr: 5.0000e-05 eta: 14:29:57 time: 0.9118 data_time: 0.2989 memory: 32703 grad_norm: 17.8846 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0569 loss: 1.0569 2022/07/30 14:24:20 - mmengine - INFO - Epoch(train) [38][60/2505] lr: 5.0000e-05 eta: 14:29:38 time: 1.0821 data_time: 0.4404 memory: 32703 grad_norm: 18.8322 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0058 loss: 1.0058 2022/07/30 14:24:38 - mmengine - INFO - Epoch(train) [38][80/2505] lr: 5.0000e-05 eta: 14:29:18 time: 0.9377 data_time: 0.3524 memory: 32703 grad_norm: 18.1682 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.1379 loss: 1.1379 2022/07/30 14:25:00 - mmengine - INFO - Epoch(train) [38][100/2505] lr: 5.0000e-05 eta: 14:28:59 time: 1.0862 data_time: 0.4802 memory: 32703 grad_norm: 17.9692 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9859 loss: 0.9859 2022/07/30 14:25:19 - mmengine - INFO - Epoch(train) [38][120/2505] lr: 5.0000e-05 eta: 14:28:38 time: 0.9228 data_time: 0.3345 memory: 32703 grad_norm: 17.8154 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9805 loss: 0.9805 2022/07/30 14:25:40 - mmengine - INFO - Epoch(train) [38][140/2505] lr: 5.0000e-05 eta: 14:28:20 time: 1.0926 data_time: 0.4966 memory: 32703 grad_norm: 18.6239 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8990 loss: 0.8990 2022/07/30 14:26:00 - mmengine - INFO - Epoch(train) [38][160/2505] lr: 5.0000e-05 eta: 14:27:59 time: 0.9579 data_time: 0.3472 memory: 32703 grad_norm: 17.9096 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0347 loss: 1.0347 2022/07/30 14:26:21 - mmengine - INFO - Epoch(train) [38][180/2505] lr: 5.0000e-05 eta: 14:27:40 time: 1.0477 data_time: 0.4509 memory: 32703 grad_norm: 18.5133 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0329 loss: 1.0329 2022/07/30 14:26:39 - mmengine - INFO - Epoch(train) [38][200/2505] lr: 5.0000e-05 eta: 14:27:19 time: 0.9046 data_time: 0.2957 memory: 32703 grad_norm: 18.9743 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8242 loss: 0.8242 2022/07/30 14:26:59 - mmengine - INFO - Epoch(train) [38][220/2505] lr: 5.0000e-05 eta: 14:27:00 time: 1.0275 data_time: 0.4165 memory: 32703 grad_norm: 18.3001 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0482 loss: 1.0482 2022/07/30 14:27:17 - mmengine - INFO - Epoch(train) [38][240/2505] lr: 5.0000e-05 eta: 14:26:39 time: 0.8927 data_time: 0.2847 memory: 32703 grad_norm: 18.1810 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9225 loss: 0.9225 2022/07/30 14:27:39 - mmengine - INFO - Epoch(train) [38][260/2505] lr: 5.0000e-05 eta: 14:26:20 time: 1.1150 data_time: 0.5117 memory: 32703 grad_norm: 17.7220 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9147 loss: 0.9147 2022/07/30 14:27:57 - mmengine - INFO - Epoch(train) [38][280/2505] lr: 5.0000e-05 eta: 14:25:59 time: 0.8581 data_time: 0.2526 memory: 32703 grad_norm: 19.2511 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8991 loss: 0.8991 2022/07/30 14:28:18 - mmengine - INFO - Epoch(train) [38][300/2505] lr: 5.0000e-05 eta: 14:25:40 time: 1.0801 data_time: 0.4613 memory: 32703 grad_norm: 18.7349 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0211 loss: 1.0211 2022/07/30 14:28:33 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 14:28:36 - mmengine - INFO - Epoch(train) [38][320/2505] lr: 5.0000e-05 eta: 14:25:19 time: 0.8797 data_time: 0.2813 memory: 32703 grad_norm: 17.1972 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9421 loss: 0.9421 2022/07/30 14:28:57 - mmengine - INFO - Epoch(train) [38][340/2505] lr: 5.0000e-05 eta: 14:25:00 time: 1.0725 data_time: 0.4729 memory: 32703 grad_norm: 18.4469 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8931 loss: 0.8931 2022/07/30 14:29:15 - mmengine - INFO - Epoch(train) [38][360/2505] lr: 5.0000e-05 eta: 14:24:39 time: 0.8967 data_time: 0.3058 memory: 32703 grad_norm: 18.2707 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9181 loss: 0.9181 2022/07/30 14:29:37 - mmengine - INFO - Epoch(train) [38][380/2505] lr: 5.0000e-05 eta: 14:24:20 time: 1.0771 data_time: 0.4675 memory: 32703 grad_norm: 18.8121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0670 loss: 1.0670 2022/07/30 14:29:55 - mmengine - INFO - Epoch(train) [38][400/2505] lr: 5.0000e-05 eta: 14:23:59 time: 0.8892 data_time: 0.3023 memory: 32703 grad_norm: 18.8161 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0976 loss: 1.0976 2022/07/30 14:30:16 - mmengine - INFO - Epoch(train) [38][420/2505] lr: 5.0000e-05 eta: 14:23:40 time: 1.0944 data_time: 0.4828 memory: 32703 grad_norm: 17.9299 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0639 loss: 1.0639 2022/07/30 14:30:35 - mmengine - INFO - Epoch(train) [38][440/2505] lr: 5.0000e-05 eta: 14:23:20 time: 0.9139 data_time: 0.3116 memory: 32703 grad_norm: 19.6650 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1159 loss: 1.1159 2022/07/30 14:30:56 - mmengine - INFO - Epoch(train) [38][460/2505] lr: 5.0000e-05 eta: 14:23:01 time: 1.0749 data_time: 0.4479 memory: 32703 grad_norm: 19.0489 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2402 loss: 1.2402 2022/07/30 14:31:15 - mmengine - INFO - Epoch(train) [38][480/2505] lr: 5.0000e-05 eta: 14:22:40 time: 0.9263 data_time: 0.3150 memory: 32703 grad_norm: 18.4058 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8342 loss: 0.8342 2022/07/30 14:31:36 - mmengine - INFO - Epoch(train) [38][500/2505] lr: 5.0000e-05 eta: 14:22:21 time: 1.0461 data_time: 0.4346 memory: 32703 grad_norm: 18.4017 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1710 loss: 1.1710 2022/07/30 14:31:54 - mmengine - INFO - Epoch(train) [38][520/2505] lr: 5.0000e-05 eta: 14:22:00 time: 0.9151 data_time: 0.3092 memory: 32703 grad_norm: 17.6541 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1879 loss: 1.1879 2022/07/30 14:32:15 - mmengine - INFO - Epoch(train) [38][540/2505] lr: 5.0000e-05 eta: 14:21:41 time: 1.0573 data_time: 0.4540 memory: 32703 grad_norm: 18.3973 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9196 loss: 0.9196 2022/07/30 14:32:34 - mmengine - INFO - Epoch(train) [38][560/2505] lr: 5.0000e-05 eta: 14:21:20 time: 0.9251 data_time: 0.3196 memory: 32703 grad_norm: 18.4365 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9747 loss: 0.9747 2022/07/30 14:32:54 - mmengine - INFO - Epoch(train) [38][580/2505] lr: 5.0000e-05 eta: 14:21:01 time: 1.0082 data_time: 0.3946 memory: 32703 grad_norm: 17.7645 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1052 loss: 1.1052 2022/07/30 14:33:13 - mmengine - INFO - Epoch(train) [38][600/2505] lr: 5.0000e-05 eta: 14:20:40 time: 0.9483 data_time: 0.3304 memory: 32703 grad_norm: 18.9503 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0550 loss: 1.0550 2022/07/30 14:33:33 - mmengine - INFO - Epoch(train) [38][620/2505] lr: 5.0000e-05 eta: 14:20:21 time: 1.0219 data_time: 0.4110 memory: 32703 grad_norm: 18.4417 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0796 loss: 1.0796 2022/07/30 14:33:51 - mmengine - INFO - Epoch(train) [38][640/2505] lr: 5.0000e-05 eta: 14:20:00 time: 0.8991 data_time: 0.2760 memory: 32703 grad_norm: 18.5364 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9322 loss: 0.9322 2022/07/30 14:34:12 - mmengine - INFO - Epoch(train) [38][660/2505] lr: 5.0000e-05 eta: 14:19:40 time: 1.0347 data_time: 0.4442 memory: 32703 grad_norm: 19.1589 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1166 loss: 1.1166 2022/07/30 14:34:30 - mmengine - INFO - Epoch(train) [38][680/2505] lr: 5.0000e-05 eta: 14:19:20 time: 0.9188 data_time: 0.2814 memory: 32703 grad_norm: 18.5629 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1068 loss: 1.1068 2022/07/30 14:34:51 - mmengine - INFO - Epoch(train) [38][700/2505] lr: 5.0000e-05 eta: 14:19:01 time: 1.0527 data_time: 0.4657 memory: 32703 grad_norm: 19.0494 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0736 loss: 1.0736 2022/07/30 14:35:11 - mmengine - INFO - Epoch(train) [38][720/2505] lr: 5.0000e-05 eta: 14:18:40 time: 0.9730 data_time: 0.3569 memory: 32703 grad_norm: 18.1368 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9652 loss: 0.9652 2022/07/30 14:35:32 - mmengine - INFO - Epoch(train) [38][740/2505] lr: 5.0000e-05 eta: 14:18:21 time: 1.0464 data_time: 0.2173 memory: 32703 grad_norm: 17.9871 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1758 loss: 1.1758 2022/07/30 14:35:50 - mmengine - INFO - Epoch(train) [38][760/2505] lr: 5.0000e-05 eta: 14:18:00 time: 0.9178 data_time: 0.2298 memory: 32703 grad_norm: 17.8579 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1789 loss: 1.1789 2022/07/30 14:36:11 - mmengine - INFO - Epoch(train) [38][780/2505] lr: 5.0000e-05 eta: 14:17:41 time: 1.0619 data_time: 0.3748 memory: 32703 grad_norm: 18.2787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7419 loss: 0.7419 2022/07/30 14:36:29 - mmengine - INFO - Epoch(train) [38][800/2505] lr: 5.0000e-05 eta: 14:17:21 time: 0.9012 data_time: 0.2512 memory: 32703 grad_norm: 18.8882 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0590 loss: 1.0590 2022/07/30 14:36:50 - mmengine - INFO - Epoch(train) [38][820/2505] lr: 5.0000e-05 eta: 14:17:01 time: 1.0232 data_time: 0.3868 memory: 32703 grad_norm: 17.8624 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8820 loss: 0.8820 2022/07/30 14:37:08 - mmengine - INFO - Epoch(train) [38][840/2505] lr: 5.0000e-05 eta: 14:16:40 time: 0.9258 data_time: 0.2305 memory: 32703 grad_norm: 18.4716 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0113 loss: 1.0113 2022/07/30 14:37:28 - mmengine - INFO - Epoch(train) [38][860/2505] lr: 5.0000e-05 eta: 14:16:21 time: 0.9955 data_time: 0.0322 memory: 32703 grad_norm: 18.6819 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9347 loss: 0.9347 2022/07/30 14:37:47 - mmengine - INFO - Epoch(train) [38][880/2505] lr: 5.0000e-05 eta: 14:16:00 time: 0.9538 data_time: 0.0906 memory: 32703 grad_norm: 19.0852 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9898 loss: 0.9898 2022/07/30 14:38:08 - mmengine - INFO - Epoch(train) [38][900/2505] lr: 5.0000e-05 eta: 14:15:41 time: 1.0490 data_time: 0.0796 memory: 32703 grad_norm: 18.4863 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1742 loss: 1.1742 2022/07/30 14:38:26 - mmengine - INFO - Epoch(train) [38][920/2505] lr: 5.0000e-05 eta: 14:15:20 time: 0.8684 data_time: 0.0533 memory: 32703 grad_norm: 18.3378 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0277 loss: 1.0277 2022/07/30 14:38:47 - mmengine - INFO - Epoch(train) [38][940/2505] lr: 5.0000e-05 eta: 14:15:00 time: 1.0435 data_time: 0.1479 memory: 32703 grad_norm: 18.6451 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2568 loss: 1.2568 2022/07/30 14:39:07 - mmengine - INFO - Epoch(train) [38][960/2505] lr: 5.0000e-05 eta: 14:14:41 time: 1.0356 data_time: 0.0266 memory: 32703 grad_norm: 18.2242 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3148 loss: 1.3148 2022/07/30 14:39:26 - mmengine - INFO - Epoch(train) [38][980/2505] lr: 5.0000e-05 eta: 14:14:21 time: 0.9461 data_time: 0.0287 memory: 32703 grad_norm: 17.9994 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1923 loss: 1.1923 2022/07/30 14:39:47 - mmengine - INFO - Epoch(train) [38][1000/2505] lr: 5.0000e-05 eta: 14:14:01 time: 1.0222 data_time: 0.0266 memory: 32703 grad_norm: 17.1393 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0401 loss: 1.0401 2022/07/30 14:40:05 - mmengine - INFO - Epoch(train) [38][1020/2505] lr: 5.0000e-05 eta: 14:13:41 time: 0.9373 data_time: 0.0276 memory: 32703 grad_norm: 17.9720 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8481 loss: 0.8481 2022/07/30 14:40:27 - mmengine - INFO - Epoch(train) [38][1040/2505] lr: 5.0000e-05 eta: 14:13:22 time: 1.0599 data_time: 0.0264 memory: 32703 grad_norm: 18.6063 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9268 loss: 0.9268 2022/07/30 14:40:45 - mmengine - INFO - Epoch(train) [38][1060/2505] lr: 5.0000e-05 eta: 14:13:01 time: 0.8982 data_time: 0.0269 memory: 32703 grad_norm: 18.9440 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2016 loss: 1.2016 2022/07/30 14:41:06 - mmengine - INFO - Epoch(train) [38][1080/2505] lr: 5.0000e-05 eta: 14:12:41 time: 1.0504 data_time: 0.0275 memory: 32703 grad_norm: 18.6042 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9668 loss: 0.9668 2022/07/30 14:41:24 - mmengine - INFO - Epoch(train) [38][1100/2505] lr: 5.0000e-05 eta: 14:12:21 time: 0.9093 data_time: 0.0335 memory: 32703 grad_norm: 18.8123 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0236 loss: 1.0236 2022/07/30 14:41:45 - mmengine - INFO - Epoch(train) [38][1120/2505] lr: 5.0000e-05 eta: 14:12:01 time: 1.0370 data_time: 0.0254 memory: 32703 grad_norm: 18.9886 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0105 loss: 1.0105 2022/07/30 14:42:04 - mmengine - INFO - Epoch(train) [38][1140/2505] lr: 5.0000e-05 eta: 14:11:41 time: 0.9712 data_time: 0.0300 memory: 32703 grad_norm: 18.8643 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9645 loss: 0.9645 2022/07/30 14:42:25 - mmengine - INFO - Epoch(train) [38][1160/2505] lr: 5.0000e-05 eta: 14:11:22 time: 1.0225 data_time: 0.0305 memory: 32703 grad_norm: 19.1870 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9057 loss: 0.9057 2022/07/30 14:42:43 - mmengine - INFO - Epoch(train) [38][1180/2505] lr: 5.0000e-05 eta: 14:11:01 time: 0.9357 data_time: 0.0315 memory: 32703 grad_norm: 19.2643 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1108 loss: 1.1108 2022/07/30 14:43:05 - mmengine - INFO - Epoch(train) [38][1200/2505] lr: 5.0000e-05 eta: 14:10:42 time: 1.0764 data_time: 0.0275 memory: 32703 grad_norm: 18.3299 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9343 loss: 0.9343 2022/07/30 14:43:22 - mmengine - INFO - Epoch(train) [38][1220/2505] lr: 5.0000e-05 eta: 14:10:21 time: 0.8664 data_time: 0.0331 memory: 32703 grad_norm: 18.8213 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9198 loss: 0.9198 2022/07/30 14:43:44 - mmengine - INFO - Epoch(train) [38][1240/2505] lr: 5.0000e-05 eta: 14:10:02 time: 1.0731 data_time: 0.0249 memory: 32703 grad_norm: 18.1111 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0690 loss: 1.0690 2022/07/30 14:44:02 - mmengine - INFO - Epoch(train) [38][1260/2505] lr: 5.0000e-05 eta: 14:09:41 time: 0.8946 data_time: 0.0271 memory: 32703 grad_norm: 19.0784 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0775 loss: 1.0775 2022/07/30 14:44:23 - mmengine - INFO - Epoch(train) [38][1280/2505] lr: 5.0000e-05 eta: 14:09:22 time: 1.0842 data_time: 0.0323 memory: 32703 grad_norm: 18.4877 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.3922 loss: 1.3922 2022/07/30 14:44:41 - mmengine - INFO - Epoch(train) [38][1300/2505] lr: 5.0000e-05 eta: 14:09:01 time: 0.8866 data_time: 0.0274 memory: 32703 grad_norm: 18.1215 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0164 loss: 1.0164 2022/07/30 14:44:56 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 14:45:02 - mmengine - INFO - Epoch(train) [38][1320/2505] lr: 5.0000e-05 eta: 14:08:42 time: 1.0461 data_time: 0.0352 memory: 32703 grad_norm: 17.8343 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9425 loss: 0.9425 2022/07/30 14:45:20 - mmengine - INFO - Epoch(train) [38][1340/2505] lr: 5.0000e-05 eta: 14:08:21 time: 0.9259 data_time: 0.0286 memory: 32703 grad_norm: 18.4320 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0261 loss: 1.0261 2022/07/30 14:45:41 - mmengine - INFO - Epoch(train) [38][1360/2505] lr: 5.0000e-05 eta: 14:08:02 time: 1.0251 data_time: 0.0345 memory: 32703 grad_norm: 18.6742 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1146 loss: 1.1146 2022/07/30 14:46:00 - mmengine - INFO - Epoch(train) [38][1380/2505] lr: 5.0000e-05 eta: 14:07:41 time: 0.9482 data_time: 0.0282 memory: 32703 grad_norm: 18.4172 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0174 loss: 1.0174 2022/07/30 14:46:20 - mmengine - INFO - Epoch(train) [38][1400/2505] lr: 5.0000e-05 eta: 14:07:22 time: 1.0255 data_time: 0.0278 memory: 32703 grad_norm: 18.5399 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0639 loss: 1.0639 2022/07/30 14:46:40 - mmengine - INFO - Epoch(train) [38][1420/2505] lr: 5.0000e-05 eta: 14:07:02 time: 0.9550 data_time: 0.0254 memory: 32703 grad_norm: 18.1789 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0025 loss: 1.0025 2022/07/30 14:47:00 - mmengine - INFO - Epoch(train) [38][1440/2505] lr: 5.0000e-05 eta: 14:06:42 time: 1.0185 data_time: 0.0320 memory: 32703 grad_norm: 17.8598 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0624 loss: 1.0624 2022/07/30 14:47:18 - mmengine - INFO - Epoch(train) [38][1460/2505] lr: 5.0000e-05 eta: 14:06:22 time: 0.9263 data_time: 0.0268 memory: 32703 grad_norm: 19.2217 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8930 loss: 0.8930 2022/07/30 14:47:40 - mmengine - INFO - Epoch(train) [38][1480/2505] lr: 5.0000e-05 eta: 14:06:02 time: 1.0613 data_time: 0.0319 memory: 32703 grad_norm: 18.5159 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0440 loss: 1.0440 2022/07/30 14:47:58 - mmengine - INFO - Epoch(train) [38][1500/2505] lr: 5.0000e-05 eta: 14:05:42 time: 0.9059 data_time: 0.0406 memory: 32703 grad_norm: 18.1928 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8221 loss: 0.8221 2022/07/30 14:48:19 - mmengine - INFO - Epoch(train) [38][1520/2505] lr: 5.0000e-05 eta: 14:05:23 time: 1.0719 data_time: 0.0284 memory: 32703 grad_norm: 18.4691 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2027 loss: 1.2027 2022/07/30 14:48:38 - mmengine - INFO - Epoch(train) [38][1540/2505] lr: 5.0000e-05 eta: 14:05:02 time: 0.9427 data_time: 0.0343 memory: 32703 grad_norm: 18.0453 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1422 loss: 1.1422 2022/07/30 14:48:59 - mmengine - INFO - Epoch(train) [38][1560/2505] lr: 5.0000e-05 eta: 14:04:43 time: 1.0379 data_time: 0.0305 memory: 32703 grad_norm: 18.2498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9468 loss: 0.9468 2022/07/30 14:49:16 - mmengine - INFO - Epoch(train) [38][1580/2505] lr: 5.0000e-05 eta: 14:04:22 time: 0.8827 data_time: 0.0261 memory: 32703 grad_norm: 19.2809 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0930 loss: 1.0930 2022/07/30 14:49:38 - mmengine - INFO - Epoch(train) [38][1600/2505] lr: 5.0000e-05 eta: 14:04:03 time: 1.0539 data_time: 0.0278 memory: 32703 grad_norm: 17.8410 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2059 loss: 1.2059 2022/07/30 14:49:56 - mmengine - INFO - Epoch(train) [38][1620/2505] lr: 5.0000e-05 eta: 14:03:42 time: 0.9467 data_time: 0.0275 memory: 32703 grad_norm: 18.4752 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0591 loss: 1.0591 2022/07/30 14:50:17 - mmengine - INFO - Epoch(train) [38][1640/2505] lr: 5.0000e-05 eta: 14:03:23 time: 1.0037 data_time: 0.0270 memory: 32703 grad_norm: 18.0410 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9234 loss: 0.9234 2022/07/30 14:50:36 - mmengine - INFO - Epoch(train) [38][1660/2505] lr: 5.0000e-05 eta: 14:03:02 time: 0.9519 data_time: 0.0285 memory: 32703 grad_norm: 19.0436 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1054 loss: 1.1054 2022/07/30 14:50:56 - mmengine - INFO - Epoch(train) [38][1680/2505] lr: 5.0000e-05 eta: 14:02:43 time: 1.0169 data_time: 0.0279 memory: 32703 grad_norm: 19.0318 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0848 loss: 1.0848 2022/07/30 14:51:16 - mmengine - INFO - Epoch(train) [38][1700/2505] lr: 5.0000e-05 eta: 14:02:23 time: 1.0010 data_time: 0.0307 memory: 32703 grad_norm: 18.8876 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1240 loss: 1.1240 2022/07/30 14:51:35 - mmengine - INFO - Epoch(train) [38][1720/2505] lr: 5.0000e-05 eta: 14:02:03 time: 0.9666 data_time: 0.0288 memory: 32703 grad_norm: 17.4086 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2294 loss: 1.2294 2022/07/30 14:51:54 - mmengine - INFO - Epoch(train) [38][1740/2505] lr: 5.0000e-05 eta: 14:01:42 time: 0.9432 data_time: 0.0265 memory: 32703 grad_norm: 17.8826 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9537 loss: 0.9537 2022/07/30 14:52:15 - mmengine - INFO - Epoch(train) [38][1760/2505] lr: 5.0000e-05 eta: 14:01:23 time: 1.0374 data_time: 0.0295 memory: 32703 grad_norm: 17.4707 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8915 loss: 0.8915 2022/07/30 14:52:33 - mmengine - INFO - Epoch(train) [38][1780/2505] lr: 5.0000e-05 eta: 14:01:02 time: 0.9250 data_time: 0.0268 memory: 32703 grad_norm: 19.2445 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0733 loss: 1.0733 2022/07/30 14:52:53 - mmengine - INFO - Epoch(train) [38][1800/2505] lr: 5.0000e-05 eta: 14:00:43 time: 0.9980 data_time: 0.0292 memory: 32703 grad_norm: 17.5747 top1_acc: 0.3333 top5_acc: 0.8333 loss_cls: 1.2810 loss: 1.2810 2022/07/30 14:53:13 - mmengine - INFO - Epoch(train) [38][1820/2505] lr: 5.0000e-05 eta: 14:00:23 time: 0.9820 data_time: 0.0297 memory: 32703 grad_norm: 18.4498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7313 loss: 0.7313 2022/07/30 14:53:33 - mmengine - INFO - Epoch(train) [38][1840/2505] lr: 5.0000e-05 eta: 14:00:03 time: 0.9837 data_time: 0.0291 memory: 32703 grad_norm: 18.1105 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9235 loss: 0.9235 2022/07/30 14:53:52 - mmengine - INFO - Epoch(train) [38][1860/2505] lr: 5.0000e-05 eta: 13:59:42 time: 0.9484 data_time: 0.0292 memory: 32703 grad_norm: 18.5955 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2188 loss: 1.2188 2022/07/30 14:54:12 - mmengine - INFO - Epoch(train) [38][1880/2505] lr: 5.0000e-05 eta: 13:59:23 time: 1.0068 data_time: 0.0296 memory: 32703 grad_norm: 19.0769 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1105 loss: 1.1105 2022/07/30 14:54:32 - mmengine - INFO - Epoch(train) [38][1900/2505] lr: 5.0000e-05 eta: 13:59:03 time: 0.9996 data_time: 0.0283 memory: 32703 grad_norm: 18.3326 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9096 loss: 0.9096 2022/07/30 14:54:52 - mmengine - INFO - Epoch(train) [38][1920/2505] lr: 5.0000e-05 eta: 13:58:43 time: 0.9908 data_time: 0.0289 memory: 32703 grad_norm: 19.2767 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9292 loss: 0.9292 2022/07/30 14:55:11 - mmengine - INFO - Epoch(train) [38][1940/2505] lr: 5.0000e-05 eta: 13:58:23 time: 0.9469 data_time: 0.0256 memory: 32703 grad_norm: 18.8642 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0437 loss: 1.0437 2022/07/30 14:55:31 - mmengine - INFO - Epoch(train) [38][1960/2505] lr: 5.0000e-05 eta: 13:58:03 time: 1.0098 data_time: 0.0291 memory: 32703 grad_norm: 17.9171 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0413 loss: 1.0413 2022/07/30 14:55:51 - mmengine - INFO - Epoch(train) [38][1980/2505] lr: 5.0000e-05 eta: 13:57:43 time: 0.9998 data_time: 0.0285 memory: 32703 grad_norm: 18.9029 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1692 loss: 1.1692 2022/07/30 14:56:09 - mmengine - INFO - Epoch(train) [38][2000/2505] lr: 5.0000e-05 eta: 13:57:22 time: 0.9192 data_time: 0.0264 memory: 32703 grad_norm: 18.7810 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1863 loss: 1.1863 2022/07/30 14:56:30 - mmengine - INFO - Epoch(train) [38][2020/2505] lr: 5.0000e-05 eta: 13:57:03 time: 1.0329 data_time: 0.0289 memory: 32703 grad_norm: 19.1328 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0119 loss: 1.0119 2022/07/30 14:56:49 - mmengine - INFO - Epoch(train) [38][2040/2505] lr: 5.0000e-05 eta: 13:56:43 time: 0.9420 data_time: 0.0271 memory: 32703 grad_norm: 18.0015 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0557 loss: 1.0557 2022/07/30 14:57:09 - mmengine - INFO - Epoch(train) [38][2060/2505] lr: 5.0000e-05 eta: 13:56:23 time: 0.9874 data_time: 0.0298 memory: 32703 grad_norm: 18.6931 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2736 loss: 1.2736 2022/07/30 14:57:27 - mmengine - INFO - Epoch(train) [38][2080/2505] lr: 5.0000e-05 eta: 13:56:02 time: 0.9398 data_time: 0.0265 memory: 32703 grad_norm: 17.9587 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0453 loss: 1.0453 2022/07/30 14:57:48 - mmengine - INFO - Epoch(train) [38][2100/2505] lr: 5.0000e-05 eta: 13:55:43 time: 1.0143 data_time: 0.0281 memory: 32703 grad_norm: 18.5577 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9897 loss: 0.9897 2022/07/30 14:58:06 - mmengine - INFO - Epoch(train) [38][2120/2505] lr: 5.0000e-05 eta: 13:55:22 time: 0.9233 data_time: 0.0347 memory: 32703 grad_norm: 18.5309 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9305 loss: 0.9305 2022/07/30 14:58:27 - mmengine - INFO - Epoch(train) [38][2140/2505] lr: 5.0000e-05 eta: 13:55:03 time: 1.0507 data_time: 0.0264 memory: 32703 grad_norm: 18.4625 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0861 loss: 1.0861 2022/07/30 14:58:46 - mmengine - INFO - Epoch(train) [38][2160/2505] lr: 5.0000e-05 eta: 13:54:42 time: 0.9337 data_time: 0.0344 memory: 32703 grad_norm: 18.4166 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9771 loss: 0.9771 2022/07/30 14:59:06 - mmengine - INFO - Epoch(train) [38][2180/2505] lr: 5.0000e-05 eta: 13:54:23 time: 1.0180 data_time: 0.0259 memory: 32703 grad_norm: 18.2461 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0319 loss: 1.0319 2022/07/30 14:59:25 - mmengine - INFO - Epoch(train) [38][2200/2505] lr: 5.0000e-05 eta: 13:54:02 time: 0.9507 data_time: 0.0265 memory: 32703 grad_norm: 18.4214 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0324 loss: 1.0324 2022/07/30 14:59:46 - mmengine - INFO - Epoch(train) [38][2220/2505] lr: 5.0000e-05 eta: 13:53:43 time: 1.0351 data_time: 0.0305 memory: 32703 grad_norm: 18.2999 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9213 loss: 0.9213 2022/07/30 15:00:04 - mmengine - INFO - Epoch(train) [38][2240/2505] lr: 5.0000e-05 eta: 13:53:22 time: 0.9151 data_time: 0.0284 memory: 32703 grad_norm: 19.2922 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8238 loss: 0.8238 2022/07/30 15:00:25 - mmengine - INFO - Epoch(train) [38][2260/2505] lr: 5.0000e-05 eta: 13:53:03 time: 1.0613 data_time: 0.0291 memory: 32703 grad_norm: 18.1382 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0469 loss: 1.0469 2022/07/30 15:00:44 - mmengine - INFO - Epoch(train) [38][2280/2505] lr: 5.0000e-05 eta: 13:52:43 time: 0.9279 data_time: 0.0314 memory: 32703 grad_norm: 18.8780 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8608 loss: 0.8608 2022/07/30 15:01:05 - mmengine - INFO - Epoch(train) [38][2300/2505] lr: 5.0000e-05 eta: 13:52:23 time: 1.0552 data_time: 0.0290 memory: 32703 grad_norm: 18.2589 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0503 loss: 1.0503 2022/07/30 15:01:20 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 15:01:23 - mmengine - INFO - Epoch(train) [38][2320/2505] lr: 5.0000e-05 eta: 13:52:02 time: 0.8863 data_time: 0.0288 memory: 32703 grad_norm: 18.7037 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0517 loss: 1.0517 2022/07/30 15:01:44 - mmengine - INFO - Epoch(train) [38][2340/2505] lr: 5.0000e-05 eta: 13:51:43 time: 1.0478 data_time: 0.0320 memory: 32703 grad_norm: 18.8370 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9722 loss: 0.9722 2022/07/30 15:02:02 - mmengine - INFO - Epoch(train) [38][2360/2505] lr: 5.0000e-05 eta: 13:51:22 time: 0.8956 data_time: 0.0321 memory: 32703 grad_norm: 18.1524 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1114 loss: 1.1114 2022/07/30 15:02:23 - mmengine - INFO - Epoch(train) [38][2380/2505] lr: 5.0000e-05 eta: 13:51:03 time: 1.0663 data_time: 0.0313 memory: 32703 grad_norm: 19.1920 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0954 loss: 1.0954 2022/07/30 15:02:41 - mmengine - INFO - Epoch(train) [38][2400/2505] lr: 5.0000e-05 eta: 13:50:42 time: 0.9006 data_time: 0.0270 memory: 32703 grad_norm: 19.0297 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1393 loss: 1.1393 2022/07/30 15:03:02 - mmengine - INFO - Epoch(train) [38][2420/2505] lr: 5.0000e-05 eta: 13:50:23 time: 1.0585 data_time: 0.0282 memory: 32703 grad_norm: 18.6481 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0756 loss: 1.0756 2022/07/30 15:03:21 - mmengine - INFO - Epoch(train) [38][2440/2505] lr: 5.0000e-05 eta: 13:50:03 time: 0.9132 data_time: 0.0268 memory: 32703 grad_norm: 17.6238 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0227 loss: 1.0227 2022/07/30 15:03:42 - mmengine - INFO - Epoch(train) [38][2460/2505] lr: 5.0000e-05 eta: 13:49:44 time: 1.0671 data_time: 0.0289 memory: 32703 grad_norm: 18.4963 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9079 loss: 0.9079 2022/07/30 15:04:00 - mmengine - INFO - Epoch(train) [38][2480/2505] lr: 5.0000e-05 eta: 13:49:23 time: 0.9009 data_time: 0.0263 memory: 32703 grad_norm: 18.6776 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9402 loss: 0.9402 2022/07/30 15:04:18 - mmengine - INFO - Epoch(train) [38][2500/2505] lr: 5.0000e-05 eta: 13:49:02 time: 0.8992 data_time: 0.0265 memory: 32703 grad_norm: 18.7692 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9355 loss: 0.9355 2022/07/30 15:04:21 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 15:04:21 - mmengine - INFO - Epoch(train) [38][2505/2505] lr: 5.0000e-05 eta: 13:49:02 time: 0.7447 data_time: 0.0183 memory: 32703 grad_norm: 18.9381 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9099 loss: 0.9099 2022/07/30 15:04:21 - mmengine - INFO - Saving checkpoint at 38 epochs 2022/07/30 15:04:51 - mmengine - INFO - Epoch(train) [39][20/2505] lr: 5.0000e-05 eta: 13:48:37 time: 1.2429 data_time: 0.6296 memory: 32703 grad_norm: 18.6123 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1701 loss: 1.1701 2022/07/30 15:05:10 - mmengine - INFO - Epoch(train) [39][40/2505] lr: 5.0000e-05 eta: 13:48:17 time: 0.9473 data_time: 0.3449 memory: 32703 grad_norm: 19.1833 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1027 loss: 1.1027 2022/07/30 15:05:30 - mmengine - INFO - Epoch(train) [39][60/2505] lr: 5.0000e-05 eta: 13:47:57 time: 1.0466 data_time: 0.4368 memory: 32703 grad_norm: 18.0678 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1594 loss: 1.1594 2022/07/30 15:05:48 - mmengine - INFO - Epoch(train) [39][80/2505] lr: 5.0000e-05 eta: 13:47:36 time: 0.8700 data_time: 0.2668 memory: 32703 grad_norm: 17.9289 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0839 loss: 1.0839 2022/07/30 15:06:09 - mmengine - INFO - Epoch(train) [39][100/2505] lr: 5.0000e-05 eta: 13:47:17 time: 1.0549 data_time: 0.4444 memory: 32703 grad_norm: 18.8844 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1090 loss: 1.1090 2022/07/30 15:06:27 - mmengine - INFO - Epoch(train) [39][120/2505] lr: 5.0000e-05 eta: 13:46:56 time: 0.9153 data_time: 0.3308 memory: 32703 grad_norm: 17.5481 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9563 loss: 0.9563 2022/07/30 15:06:48 - mmengine - INFO - Epoch(train) [39][140/2505] lr: 5.0000e-05 eta: 13:46:37 time: 1.0348 data_time: 0.4285 memory: 32703 grad_norm: 19.0384 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9038 loss: 0.9038 2022/07/30 15:07:06 - mmengine - INFO - Epoch(train) [39][160/2505] lr: 5.0000e-05 eta: 13:46:16 time: 0.9037 data_time: 0.3011 memory: 32703 grad_norm: 18.6393 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9880 loss: 0.9880 2022/07/30 15:07:26 - mmengine - INFO - Epoch(train) [39][180/2505] lr: 5.0000e-05 eta: 13:45:57 time: 1.0102 data_time: 0.4287 memory: 32703 grad_norm: 18.9825 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9314 loss: 0.9314 2022/07/30 15:07:45 - mmengine - INFO - Epoch(train) [39][200/2505] lr: 5.0000e-05 eta: 13:45:36 time: 0.9385 data_time: 0.3315 memory: 32703 grad_norm: 17.8148 top1_acc: 0.3333 top5_acc: 0.9167 loss_cls: 0.8553 loss: 0.8553 2022/07/30 15:08:06 - mmengine - INFO - Epoch(train) [39][220/2505] lr: 5.0000e-05 eta: 13:45:17 time: 1.0258 data_time: 0.4428 memory: 32703 grad_norm: 18.4753 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9565 loss: 0.9565 2022/07/30 15:08:24 - mmengine - INFO - Epoch(train) [39][240/2505] lr: 5.0000e-05 eta: 13:44:56 time: 0.9166 data_time: 0.3173 memory: 32703 grad_norm: 18.8495 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0128 loss: 1.0128 2022/07/30 15:08:44 - mmengine - INFO - Epoch(train) [39][260/2505] lr: 5.0000e-05 eta: 13:44:36 time: 1.0255 data_time: 0.4365 memory: 32703 grad_norm: 18.3838 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9943 loss: 0.9943 2022/07/30 15:09:03 - mmengine - INFO - Epoch(train) [39][280/2505] lr: 5.0000e-05 eta: 13:44:16 time: 0.9403 data_time: 0.3357 memory: 32703 grad_norm: 18.7342 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.2280 loss: 1.2280 2022/07/30 15:09:23 - mmengine - INFO - Epoch(train) [39][300/2505] lr: 5.0000e-05 eta: 13:43:56 time: 0.9783 data_time: 0.3184 memory: 32703 grad_norm: 19.2732 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1283 loss: 1.1283 2022/07/30 15:09:44 - mmengine - INFO - Epoch(train) [39][320/2505] lr: 5.0000e-05 eta: 13:43:37 time: 1.0459 data_time: 0.3630 memory: 32703 grad_norm: 18.5543 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0840 loss: 1.0840 2022/07/30 15:10:03 - mmengine - INFO - Epoch(train) [39][340/2505] lr: 5.0000e-05 eta: 13:43:17 time: 0.9712 data_time: 0.3013 memory: 32703 grad_norm: 18.8551 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1401 loss: 1.1401 2022/07/30 15:10:23 - mmengine - INFO - Epoch(train) [39][360/2505] lr: 5.0000e-05 eta: 13:42:57 time: 0.9986 data_time: 0.2758 memory: 32703 grad_norm: 17.5926 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9782 loss: 0.9782 2022/07/30 15:10:43 - mmengine - INFO - Epoch(train) [39][380/2505] lr: 5.0000e-05 eta: 13:42:37 time: 0.9857 data_time: 0.2326 memory: 32703 grad_norm: 18.4025 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0398 loss: 1.0398 2022/07/30 15:11:03 - mmengine - INFO - Epoch(train) [39][400/2505] lr: 5.0000e-05 eta: 13:42:17 time: 0.9989 data_time: 0.3079 memory: 32703 grad_norm: 18.8459 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1236 loss: 1.1236 2022/07/30 15:11:24 - mmengine - INFO - Epoch(train) [39][420/2505] lr: 5.0000e-05 eta: 13:41:58 time: 1.0755 data_time: 0.0963 memory: 32703 grad_norm: 18.9087 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2897 loss: 1.2897 2022/07/30 15:11:42 - mmengine - INFO - Epoch(train) [39][440/2505] lr: 5.0000e-05 eta: 13:41:37 time: 0.8597 data_time: 0.0236 memory: 32703 grad_norm: 18.8517 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9116 loss: 0.9116 2022/07/30 15:12:03 - mmengine - INFO - Epoch(train) [39][460/2505] lr: 5.0000e-05 eta: 13:41:18 time: 1.0654 data_time: 0.0272 memory: 32703 grad_norm: 18.4959 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0160 loss: 1.0160 2022/07/30 15:12:22 - mmengine - INFO - Epoch(train) [39][480/2505] lr: 5.0000e-05 eta: 13:40:58 time: 0.9696 data_time: 0.0261 memory: 32703 grad_norm: 18.5612 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0732 loss: 1.0732 2022/07/30 15:12:43 - mmengine - INFO - Epoch(train) [39][500/2505] lr: 5.0000e-05 eta: 13:40:38 time: 1.0261 data_time: 0.0290 memory: 32703 grad_norm: 17.9256 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9557 loss: 0.9557 2022/07/30 15:13:01 - mmengine - INFO - Epoch(train) [39][520/2505] lr: 5.0000e-05 eta: 13:40:18 time: 0.9134 data_time: 0.0262 memory: 32703 grad_norm: 18.3932 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9404 loss: 0.9404 2022/07/30 15:13:22 - mmengine - INFO - Epoch(train) [39][540/2505] lr: 5.0000e-05 eta: 13:39:58 time: 1.0603 data_time: 0.0292 memory: 32703 grad_norm: 18.4477 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8573 loss: 0.8573 2022/07/30 15:13:40 - mmengine - INFO - Epoch(train) [39][560/2505] lr: 5.0000e-05 eta: 13:39:37 time: 0.8925 data_time: 0.0257 memory: 32703 grad_norm: 18.4943 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9702 loss: 0.9702 2022/07/30 15:14:03 - mmengine - INFO - Epoch(train) [39][580/2505] lr: 5.0000e-05 eta: 13:39:19 time: 1.1364 data_time: 0.0293 memory: 32703 grad_norm: 19.4494 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1516 loss: 1.1516 2022/07/30 15:14:19 - mmengine - INFO - Epoch(train) [39][600/2505] lr: 5.0000e-05 eta: 13:38:57 time: 0.7804 data_time: 0.0246 memory: 32703 grad_norm: 18.4551 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9318 loss: 0.9318 2022/07/30 15:14:40 - mmengine - INFO - Epoch(train) [39][620/2505] lr: 5.0000e-05 eta: 13:38:38 time: 1.0589 data_time: 0.0258 memory: 32703 grad_norm: 18.2811 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.6896 loss: 0.6896 2022/07/30 15:14:58 - mmengine - INFO - Epoch(train) [39][640/2505] lr: 5.0000e-05 eta: 13:38:17 time: 0.9208 data_time: 0.0402 memory: 32703 grad_norm: 18.4555 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0158 loss: 1.0158 2022/07/30 15:15:21 - mmengine - INFO - Epoch(train) [39][660/2505] lr: 5.0000e-05 eta: 13:37:59 time: 1.1284 data_time: 0.0256 memory: 32703 grad_norm: 18.1965 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0800 loss: 1.0800 2022/07/30 15:15:37 - mmengine - INFO - Epoch(train) [39][680/2505] lr: 5.0000e-05 eta: 13:37:37 time: 0.8368 data_time: 0.0279 memory: 32703 grad_norm: 18.5057 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2504 loss: 1.2504 2022/07/30 15:15:58 - mmengine - INFO - Epoch(train) [39][700/2505] lr: 5.0000e-05 eta: 13:37:18 time: 1.0147 data_time: 0.0277 memory: 32703 grad_norm: 18.4533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2332 loss: 1.2332 2022/07/30 15:16:16 - mmengine - INFO - Epoch(train) [39][720/2505] lr: 5.0000e-05 eta: 13:36:57 time: 0.9024 data_time: 0.0353 memory: 32703 grad_norm: 18.8397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1611 loss: 1.1611 2022/07/30 15:16:38 - mmengine - INFO - Epoch(train) [39][740/2505] lr: 5.0000e-05 eta: 13:36:38 time: 1.1090 data_time: 0.0307 memory: 32703 grad_norm: 19.1274 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0920 loss: 1.0920 2022/07/30 15:16:57 - mmengine - INFO - Epoch(train) [39][760/2505] lr: 5.0000e-05 eta: 13:36:18 time: 0.9336 data_time: 0.0386 memory: 32703 grad_norm: 18.7877 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2691 loss: 1.2691 2022/07/30 15:17:17 - mmengine - INFO - Epoch(train) [39][780/2505] lr: 5.0000e-05 eta: 13:35:58 time: 1.0371 data_time: 0.0301 memory: 32703 grad_norm: 18.1367 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2062 loss: 1.2062 2022/07/30 15:17:36 - mmengine - INFO - Epoch(train) [39][800/2505] lr: 5.0000e-05 eta: 13:35:38 time: 0.9533 data_time: 0.0271 memory: 32703 grad_norm: 18.6505 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1565 loss: 1.1565 2022/07/30 15:17:48 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 15:17:57 - mmengine - INFO - Epoch(train) [39][820/2505] lr: 5.0000e-05 eta: 13:35:19 time: 1.0501 data_time: 0.0325 memory: 32703 grad_norm: 18.8775 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0820 loss: 1.0820 2022/07/30 15:18:16 - mmengine - INFO - Epoch(train) [39][840/2505] lr: 5.0000e-05 eta: 13:34:58 time: 0.9133 data_time: 0.0248 memory: 32703 grad_norm: 18.6256 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7964 loss: 0.7964 2022/07/30 15:18:35 - mmengine - INFO - Epoch(train) [39][860/2505] lr: 5.0000e-05 eta: 13:34:38 time: 0.9851 data_time: 0.0292 memory: 32703 grad_norm: 18.6139 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1404 loss: 1.1404 2022/07/30 15:18:55 - mmengine - INFO - Epoch(train) [39][880/2505] lr: 5.0000e-05 eta: 13:34:18 time: 0.9652 data_time: 0.0285 memory: 32703 grad_norm: 19.4598 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1075 loss: 1.1075 2022/07/30 15:19:16 - mmengine - INFO - Epoch(train) [39][900/2505] lr: 5.0000e-05 eta: 13:33:59 time: 1.0464 data_time: 0.0282 memory: 32703 grad_norm: 17.4977 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8881 loss: 0.8881 2022/07/30 15:19:34 - mmengine - INFO - Epoch(train) [39][920/2505] lr: 5.0000e-05 eta: 13:33:38 time: 0.9217 data_time: 0.0290 memory: 32703 grad_norm: 18.5663 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2102 loss: 1.2102 2022/07/30 15:19:55 - mmengine - INFO - Epoch(train) [39][940/2505] lr: 5.0000e-05 eta: 13:33:19 time: 1.0405 data_time: 0.0284 memory: 32703 grad_norm: 18.1799 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8458 loss: 0.8458 2022/07/30 15:20:12 - mmengine - INFO - Epoch(train) [39][960/2505] lr: 5.0000e-05 eta: 13:32:58 time: 0.8563 data_time: 0.0285 memory: 32703 grad_norm: 18.7211 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1052 loss: 1.1052 2022/07/30 15:20:33 - mmengine - INFO - Epoch(train) [39][980/2505] lr: 5.0000e-05 eta: 13:32:39 time: 1.0591 data_time: 0.0270 memory: 32703 grad_norm: 19.5797 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0888 loss: 1.0888 2022/07/30 15:20:50 - mmengine - INFO - Epoch(train) [39][1000/2505] lr: 5.0000e-05 eta: 13:32:17 time: 0.8197 data_time: 0.0259 memory: 32703 grad_norm: 18.5137 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9526 loss: 0.9526 2022/07/30 15:21:11 - mmengine - INFO - Epoch(train) [39][1020/2505] lr: 5.0000e-05 eta: 13:31:58 time: 1.0883 data_time: 0.0298 memory: 32703 grad_norm: 18.8378 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0380 loss: 1.0380 2022/07/30 15:21:31 - mmengine - INFO - Epoch(train) [39][1040/2505] lr: 5.0000e-05 eta: 13:31:38 time: 0.9675 data_time: 0.0258 memory: 32703 grad_norm: 18.9089 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1439 loss: 1.1439 2022/07/30 15:21:52 - mmengine - INFO - Epoch(train) [39][1060/2505] lr: 5.0000e-05 eta: 13:31:19 time: 1.0493 data_time: 0.0319 memory: 32703 grad_norm: 17.9637 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8221 loss: 0.8221 2022/07/30 15:22:10 - mmengine - INFO - Epoch(train) [39][1080/2505] lr: 5.0000e-05 eta: 13:30:58 time: 0.8918 data_time: 0.0276 memory: 32703 grad_norm: 18.3452 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0865 loss: 1.0865 2022/07/30 15:22:32 - mmengine - INFO - Epoch(train) [39][1100/2505] lr: 5.0000e-05 eta: 13:30:39 time: 1.1184 data_time: 0.0326 memory: 32703 grad_norm: 17.4728 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0569 loss: 1.0569 2022/07/30 15:22:49 - mmengine - INFO - Epoch(train) [39][1120/2505] lr: 5.0000e-05 eta: 13:30:18 time: 0.8489 data_time: 0.0277 memory: 32703 grad_norm: 18.3170 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9073 loss: 0.9073 2022/07/30 15:23:10 - mmengine - INFO - Epoch(train) [39][1140/2505] lr: 5.0000e-05 eta: 13:29:59 time: 1.0479 data_time: 0.0282 memory: 32703 grad_norm: 18.5520 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9271 loss: 0.9271 2022/07/30 15:23:28 - mmengine - INFO - Epoch(train) [39][1160/2505] lr: 5.0000e-05 eta: 13:29:38 time: 0.8892 data_time: 0.0350 memory: 32703 grad_norm: 18.1378 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9708 loss: 0.9708 2022/07/30 15:23:49 - mmengine - INFO - Epoch(train) [39][1180/2505] lr: 5.0000e-05 eta: 13:29:18 time: 1.0393 data_time: 0.0289 memory: 32703 grad_norm: 17.7808 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8690 loss: 0.8690 2022/07/30 15:24:06 - mmengine - INFO - Epoch(train) [39][1200/2505] lr: 5.0000e-05 eta: 13:28:57 time: 0.8519 data_time: 0.0318 memory: 32703 grad_norm: 17.8139 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0843 loss: 1.0843 2022/07/30 15:24:27 - mmengine - INFO - Epoch(train) [39][1220/2505] lr: 5.0000e-05 eta: 13:28:38 time: 1.0687 data_time: 0.0320 memory: 32703 grad_norm: 18.7647 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8266 loss: 0.8266 2022/07/30 15:24:45 - mmengine - INFO - Epoch(train) [39][1240/2505] lr: 5.0000e-05 eta: 13:28:17 time: 0.9010 data_time: 0.0272 memory: 32703 grad_norm: 18.6368 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0281 loss: 1.0281 2022/07/30 15:25:08 - mmengine - INFO - Epoch(train) [39][1260/2505] lr: 5.0000e-05 eta: 13:27:59 time: 1.1286 data_time: 0.0348 memory: 32703 grad_norm: 18.3859 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9951 loss: 0.9951 2022/07/30 15:25:27 - mmengine - INFO - Epoch(train) [39][1280/2505] lr: 5.0000e-05 eta: 13:27:38 time: 0.9476 data_time: 0.0294 memory: 32703 grad_norm: 18.2037 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1639 loss: 1.1639 2022/07/30 15:25:47 - mmengine - INFO - Epoch(train) [39][1300/2505] lr: 5.0000e-05 eta: 13:27:19 time: 1.0050 data_time: 0.0372 memory: 32703 grad_norm: 17.8147 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8779 loss: 0.8779 2022/07/30 15:26:06 - mmengine - INFO - Epoch(train) [39][1320/2505] lr: 5.0000e-05 eta: 13:26:59 time: 0.9637 data_time: 0.0304 memory: 32703 grad_norm: 18.5672 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9278 loss: 0.9278 2022/07/30 15:26:26 - mmengine - INFO - Epoch(train) [39][1340/2505] lr: 5.0000e-05 eta: 13:26:39 time: 1.0214 data_time: 0.0289 memory: 32703 grad_norm: 19.2711 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0484 loss: 1.0484 2022/07/30 15:26:44 - mmengine - INFO - Epoch(train) [39][1360/2505] lr: 5.0000e-05 eta: 13:26:18 time: 0.8999 data_time: 0.0272 memory: 32703 grad_norm: 18.9255 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9349 loss: 0.9349 2022/07/30 15:27:06 - mmengine - INFO - Epoch(train) [39][1380/2505] lr: 5.0000e-05 eta: 13:25:59 time: 1.0736 data_time: 0.0279 memory: 32703 grad_norm: 18.9842 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1295 loss: 1.1295 2022/07/30 15:27:24 - mmengine - INFO - Epoch(train) [39][1400/2505] lr: 5.0000e-05 eta: 13:25:38 time: 0.8854 data_time: 0.0271 memory: 32703 grad_norm: 18.5321 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0891 loss: 1.0891 2022/07/30 15:27:46 - mmengine - INFO - Epoch(train) [39][1420/2505] lr: 5.0000e-05 eta: 13:25:20 time: 1.1072 data_time: 0.0271 memory: 32703 grad_norm: 17.9796 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8772 loss: 0.8772 2022/07/30 15:28:03 - mmengine - INFO - Epoch(train) [39][1440/2505] lr: 5.0000e-05 eta: 13:24:58 time: 0.8714 data_time: 0.0280 memory: 32703 grad_norm: 18.5776 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0968 loss: 1.0968 2022/07/30 15:28:25 - mmengine - INFO - Epoch(train) [39][1460/2505] lr: 5.0000e-05 eta: 13:24:40 time: 1.1107 data_time: 0.0285 memory: 32703 grad_norm: 18.9656 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0073 loss: 1.0073 2022/07/30 15:28:43 - mmengine - INFO - Epoch(train) [39][1480/2505] lr: 5.0000e-05 eta: 13:24:19 time: 0.8948 data_time: 0.0282 memory: 32703 grad_norm: 17.9459 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0509 loss: 1.0509 2022/07/30 15:29:05 - mmengine - INFO - Epoch(train) [39][1500/2505] lr: 5.0000e-05 eta: 13:24:00 time: 1.0694 data_time: 0.0300 memory: 32703 grad_norm: 19.7611 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1530 loss: 1.1530 2022/07/30 15:29:23 - mmengine - INFO - Epoch(train) [39][1520/2505] lr: 5.0000e-05 eta: 13:23:39 time: 0.9178 data_time: 0.0272 memory: 32703 grad_norm: 18.4307 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1993 loss: 1.1993 2022/07/30 15:29:44 - mmengine - INFO - Epoch(train) [39][1540/2505] lr: 5.0000e-05 eta: 13:23:20 time: 1.0680 data_time: 0.0274 memory: 32703 grad_norm: 17.9851 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0150 loss: 1.0150 2022/07/30 15:30:03 - mmengine - INFO - Epoch(train) [39][1560/2505] lr: 5.0000e-05 eta: 13:23:00 time: 0.9446 data_time: 0.0312 memory: 32703 grad_norm: 18.9057 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9290 loss: 0.9290 2022/07/30 15:30:24 - mmengine - INFO - Epoch(train) [39][1580/2505] lr: 5.0000e-05 eta: 13:22:40 time: 1.0302 data_time: 0.0282 memory: 32703 grad_norm: 18.5792 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0823 loss: 1.0823 2022/07/30 15:30:42 - mmengine - INFO - Epoch(train) [39][1600/2505] lr: 5.0000e-05 eta: 13:22:20 time: 0.9000 data_time: 0.0302 memory: 32703 grad_norm: 18.6738 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0263 loss: 1.0263 2022/07/30 15:31:03 - mmengine - INFO - Epoch(train) [39][1620/2505] lr: 5.0000e-05 eta: 13:22:00 time: 1.0597 data_time: 0.0266 memory: 32703 grad_norm: 18.7649 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9541 loss: 0.9541 2022/07/30 15:31:22 - mmengine - INFO - Epoch(train) [39][1640/2505] lr: 5.0000e-05 eta: 13:21:40 time: 0.9266 data_time: 0.0270 memory: 32703 grad_norm: 18.5474 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1137 loss: 1.1137 2022/07/30 15:31:43 - mmengine - INFO - Epoch(train) [39][1660/2505] lr: 5.0000e-05 eta: 13:21:21 time: 1.0680 data_time: 0.0243 memory: 32703 grad_norm: 18.4268 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9177 loss: 0.9177 2022/07/30 15:32:01 - mmengine - INFO - Epoch(train) [39][1680/2505] lr: 5.0000e-05 eta: 13:21:00 time: 0.8962 data_time: 0.0329 memory: 32703 grad_norm: 18.5957 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9849 loss: 0.9849 2022/07/30 15:32:22 - mmengine - INFO - Epoch(train) [39][1700/2505] lr: 5.0000e-05 eta: 13:20:41 time: 1.0639 data_time: 0.0270 memory: 32703 grad_norm: 17.9202 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8817 loss: 0.8817 2022/07/30 15:32:41 - mmengine - INFO - Epoch(train) [39][1720/2505] lr: 5.0000e-05 eta: 13:20:20 time: 0.9279 data_time: 0.0338 memory: 32703 grad_norm: 18.1815 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1880 loss: 1.1880 2022/07/30 15:33:01 - mmengine - INFO - Epoch(train) [39][1740/2505] lr: 5.0000e-05 eta: 13:20:01 time: 1.0300 data_time: 0.0289 memory: 32703 grad_norm: 18.2154 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0544 loss: 1.0544 2022/07/30 15:33:20 - mmengine - INFO - Epoch(train) [39][1760/2505] lr: 5.0000e-05 eta: 13:19:40 time: 0.9054 data_time: 0.0308 memory: 32703 grad_norm: 18.1661 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8688 loss: 0.8688 2022/07/30 15:33:41 - mmengine - INFO - Epoch(train) [39][1780/2505] lr: 5.0000e-05 eta: 13:19:21 time: 1.0488 data_time: 0.0314 memory: 32703 grad_norm: 18.7762 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9804 loss: 0.9804 2022/07/30 15:33:59 - mmengine - INFO - Epoch(train) [39][1800/2505] lr: 5.0000e-05 eta: 13:19:01 time: 0.9474 data_time: 0.0270 memory: 32703 grad_norm: 17.6912 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1857 loss: 1.1857 2022/07/30 15:34:11 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 15:34:20 - mmengine - INFO - Epoch(train) [39][1820/2505] lr: 5.0000e-05 eta: 13:18:41 time: 1.0272 data_time: 0.0279 memory: 32703 grad_norm: 17.8495 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9001 loss: 0.9001 2022/07/30 15:34:39 - mmengine - INFO - Epoch(train) [39][1840/2505] lr: 5.0000e-05 eta: 13:18:21 time: 0.9261 data_time: 0.0297 memory: 32703 grad_norm: 19.2727 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0846 loss: 1.0846 2022/07/30 15:34:59 - mmengine - INFO - Epoch(train) [39][1860/2505] lr: 5.0000e-05 eta: 13:18:01 time: 1.0442 data_time: 0.0276 memory: 32703 grad_norm: 18.5286 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1617 loss: 1.1617 2022/07/30 15:35:19 - mmengine - INFO - Epoch(train) [39][1880/2505] lr: 5.0000e-05 eta: 13:17:41 time: 0.9620 data_time: 0.0270 memory: 32703 grad_norm: 18.9867 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9555 loss: 0.9555 2022/07/30 15:35:39 - mmengine - INFO - Epoch(train) [39][1900/2505] lr: 5.0000e-05 eta: 13:17:22 time: 1.0278 data_time: 0.0265 memory: 32703 grad_norm: 18.6328 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0718 loss: 1.0718 2022/07/30 15:35:56 - mmengine - INFO - Epoch(train) [39][1920/2505] lr: 5.0000e-05 eta: 13:17:00 time: 0.8518 data_time: 0.0284 memory: 32703 grad_norm: 18.6430 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1852 loss: 1.1852 2022/07/30 15:36:17 - mmengine - INFO - Epoch(train) [39][1940/2505] lr: 5.0000e-05 eta: 13:16:41 time: 1.0472 data_time: 0.0273 memory: 32703 grad_norm: 18.3911 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2380 loss: 1.2380 2022/07/30 15:36:36 - mmengine - INFO - Epoch(train) [39][1960/2505] lr: 5.0000e-05 eta: 13:16:21 time: 0.9456 data_time: 0.0298 memory: 32703 grad_norm: 18.0779 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9660 loss: 0.9660 2022/07/30 15:36:57 - mmengine - INFO - Epoch(train) [39][1980/2505] lr: 5.0000e-05 eta: 13:16:01 time: 1.0162 data_time: 0.0276 memory: 32703 grad_norm: 18.6611 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.2070 loss: 1.2070 2022/07/30 15:37:14 - mmengine - INFO - Epoch(train) [39][2000/2505] lr: 5.0000e-05 eta: 13:15:40 time: 0.8897 data_time: 0.0274 memory: 32703 grad_norm: 19.4837 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2294 loss: 1.2294 2022/07/30 15:37:36 - mmengine - INFO - Epoch(train) [39][2020/2505] lr: 5.0000e-05 eta: 13:15:21 time: 1.0754 data_time: 0.0289 memory: 32703 grad_norm: 18.6696 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0630 loss: 1.0630 2022/07/30 15:37:54 - mmengine - INFO - Epoch(train) [39][2040/2505] lr: 5.0000e-05 eta: 13:15:00 time: 0.8964 data_time: 0.0238 memory: 32703 grad_norm: 18.6688 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9473 loss: 0.9473 2022/07/30 15:38:15 - mmengine - INFO - Epoch(train) [39][2060/2505] lr: 5.0000e-05 eta: 13:14:41 time: 1.0447 data_time: 0.0299 memory: 32703 grad_norm: 19.2905 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8355 loss: 0.8355 2022/07/30 15:38:33 - mmengine - INFO - Epoch(train) [39][2080/2505] lr: 5.0000e-05 eta: 13:14:20 time: 0.9239 data_time: 0.0269 memory: 32703 grad_norm: 18.9469 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1366 loss: 1.1366 2022/07/30 15:38:54 - mmengine - INFO - Epoch(train) [39][2100/2505] lr: 5.0000e-05 eta: 13:14:01 time: 1.0395 data_time: 0.0272 memory: 32703 grad_norm: 19.0686 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0846 loss: 1.0846 2022/07/30 15:39:12 - mmengine - INFO - Epoch(train) [39][2120/2505] lr: 5.0000e-05 eta: 13:13:40 time: 0.9172 data_time: 0.0282 memory: 32703 grad_norm: 18.3965 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0292 loss: 1.0292 2022/07/30 15:39:34 - mmengine - INFO - Epoch(train) [39][2140/2505] lr: 5.0000e-05 eta: 13:13:22 time: 1.0817 data_time: 0.0278 memory: 32703 grad_norm: 18.3265 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8904 loss: 0.8904 2022/07/30 15:39:52 - mmengine - INFO - Epoch(train) [39][2160/2505] lr: 5.0000e-05 eta: 13:13:01 time: 0.8784 data_time: 0.0278 memory: 32703 grad_norm: 18.4590 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0923 loss: 1.0923 2022/07/30 15:40:14 - mmengine - INFO - Epoch(train) [39][2180/2505] lr: 5.0000e-05 eta: 13:12:42 time: 1.1264 data_time: 0.0270 memory: 32703 grad_norm: 18.7498 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8742 loss: 0.8742 2022/07/30 15:40:32 - mmengine - INFO - Epoch(train) [39][2200/2505] lr: 5.0000e-05 eta: 13:12:21 time: 0.8984 data_time: 0.0284 memory: 32703 grad_norm: 18.5637 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1197 loss: 1.1197 2022/07/30 15:40:54 - mmengine - INFO - Epoch(train) [39][2220/2505] lr: 5.0000e-05 eta: 13:12:02 time: 1.0949 data_time: 0.0358 memory: 32703 grad_norm: 19.0010 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0528 loss: 1.0528 2022/07/30 15:41:11 - mmengine - INFO - Epoch(train) [39][2240/2505] lr: 5.0000e-05 eta: 13:11:41 time: 0.8346 data_time: 0.0277 memory: 32703 grad_norm: 17.7891 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0091 loss: 1.0091 2022/07/30 15:41:33 - mmengine - INFO - Epoch(train) [39][2260/2505] lr: 5.0000e-05 eta: 13:11:22 time: 1.1017 data_time: 0.0350 memory: 32703 grad_norm: 19.8140 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9221 loss: 0.9221 2022/07/30 15:41:51 - mmengine - INFO - Epoch(train) [39][2280/2505] lr: 5.0000e-05 eta: 13:11:01 time: 0.8954 data_time: 0.0268 memory: 32703 grad_norm: 18.1654 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9569 loss: 0.9569 2022/07/30 15:42:12 - mmengine - INFO - Epoch(train) [39][2300/2505] lr: 5.0000e-05 eta: 13:10:42 time: 1.0574 data_time: 0.0273 memory: 32703 grad_norm: 19.4023 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8476 loss: 0.8476 2022/07/30 15:42:30 - mmengine - INFO - Epoch(train) [39][2320/2505] lr: 5.0000e-05 eta: 13:10:22 time: 0.9173 data_time: 0.0351 memory: 32703 grad_norm: 18.0587 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9542 loss: 0.9542 2022/07/30 15:42:50 - mmengine - INFO - Epoch(train) [39][2340/2505] lr: 5.0000e-05 eta: 13:10:02 time: 1.0122 data_time: 0.0267 memory: 32703 grad_norm: 18.9383 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9106 loss: 0.9106 2022/07/30 15:43:10 - mmengine - INFO - Epoch(train) [39][2360/2505] lr: 5.0000e-05 eta: 13:09:42 time: 0.9761 data_time: 0.0287 memory: 32703 grad_norm: 18.2747 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9337 loss: 0.9337 2022/07/30 15:43:29 - mmengine - INFO - Epoch(train) [39][2380/2505] lr: 5.0000e-05 eta: 13:09:22 time: 0.9599 data_time: 0.0339 memory: 32703 grad_norm: 18.8196 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0556 loss: 1.0556 2022/07/30 15:43:49 - mmengine - INFO - Epoch(train) [39][2400/2505] lr: 5.0000e-05 eta: 13:09:02 time: 0.9930 data_time: 0.0340 memory: 32703 grad_norm: 18.8326 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1039 loss: 1.1039 2022/07/30 15:44:08 - mmengine - INFO - Epoch(train) [39][2420/2505] lr: 5.0000e-05 eta: 13:08:42 time: 0.9696 data_time: 0.0311 memory: 32703 grad_norm: 18.9009 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.2322 loss: 1.2322 2022/07/30 15:44:27 - mmengine - INFO - Epoch(train) [39][2440/2505] lr: 5.0000e-05 eta: 13:08:22 time: 0.9444 data_time: 0.0265 memory: 32703 grad_norm: 18.9570 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0058 loss: 1.0058 2022/07/30 15:44:47 - mmengine - INFO - Epoch(train) [39][2460/2505] lr: 5.0000e-05 eta: 13:08:02 time: 0.9910 data_time: 0.0304 memory: 32703 grad_norm: 18.2549 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0247 loss: 1.0247 2022/07/30 15:45:08 - mmengine - INFO - Epoch(train) [39][2480/2505] lr: 5.0000e-05 eta: 13:07:43 time: 1.0660 data_time: 0.0356 memory: 32703 grad_norm: 18.2124 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7889 loss: 0.7889 2022/07/30 15:45:26 - mmengine - INFO - Epoch(train) [39][2500/2505] lr: 5.0000e-05 eta: 13:07:22 time: 0.8742 data_time: 0.0281 memory: 32703 grad_norm: 18.6674 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8842 loss: 0.8842 2022/07/30 15:45:29 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 15:45:29 - mmengine - INFO - Epoch(train) [39][2505/2505] lr: 5.0000e-05 eta: 13:07:22 time: 0.6976 data_time: 0.0247 memory: 32703 grad_norm: 18.6739 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8918 loss: 0.8918 2022/07/30 15:45:31 - mmengine - INFO - Epoch(val) [39][20/2475] eta: 0:05:08 time: 0.1258 data_time: 0.0980 memory: 817 2022/07/30 15:45:33 - mmengine - INFO - Epoch(val) [39][40/2475] eta: 0:03:13 time: 0.0797 data_time: 0.0486 memory: 817 2022/07/30 15:45:35 - mmengine - INFO - Epoch(val) [39][60/2475] eta: 0:03:23 time: 0.0841 data_time: 0.0562 memory: 817 2022/07/30 15:45:36 - mmengine - INFO - Epoch(val) [39][80/2475] eta: 0:02:56 time: 0.0738 data_time: 0.0464 memory: 817 2022/07/30 15:45:38 - mmengine - INFO - Epoch(val) [39][100/2475] eta: 0:04:09 time: 0.1050 data_time: 0.0773 memory: 817 2022/07/30 15:45:39 - mmengine - INFO - Epoch(val) [39][120/2475] eta: 0:02:25 time: 0.0619 data_time: 0.0311 memory: 817 2022/07/30 15:45:41 - mmengine - INFO - Epoch(val) [39][140/2475] eta: 0:03:17 time: 0.0845 data_time: 0.0541 memory: 817 2022/07/30 15:45:43 - mmengine - INFO - Epoch(val) [39][160/2475] eta: 0:03:13 time: 0.0837 data_time: 0.0512 memory: 817 2022/07/30 15:45:44 - mmengine - INFO - Epoch(val) [39][180/2475] eta: 0:02:54 time: 0.0759 data_time: 0.0438 memory: 817 2022/07/30 15:45:46 - mmengine - INFO - Epoch(val) [39][200/2475] eta: 0:02:40 time: 0.0706 data_time: 0.0393 memory: 817 2022/07/30 15:45:48 - mmengine - INFO - Epoch(val) [39][220/2475] eta: 0:03:31 time: 0.0938 data_time: 0.0654 memory: 817 2022/07/30 15:45:49 - mmengine - INFO - Epoch(val) [39][240/2475] eta: 0:02:47 time: 0.0748 data_time: 0.0419 memory: 817 2022/07/30 15:45:51 - mmengine - INFO - Epoch(val) [39][260/2475] eta: 0:03:00 time: 0.0816 data_time: 0.0530 memory: 817 2022/07/30 15:45:52 - mmengine - INFO - Epoch(val) [39][280/2475] eta: 0:02:33 time: 0.0698 data_time: 0.0429 memory: 817 2022/07/30 15:45:54 - mmengine - INFO - Epoch(val) [39][300/2475] eta: 0:03:10 time: 0.0876 data_time: 0.0572 memory: 817 2022/07/30 15:45:55 - mmengine - INFO - Epoch(val) [39][320/2475] eta: 0:02:29 time: 0.0691 data_time: 0.0415 memory: 817 2022/07/30 15:45:57 - mmengine - INFO - Epoch(val) [39][340/2475] eta: 0:03:11 time: 0.0897 data_time: 0.0635 memory: 817 2022/07/30 15:45:59 - mmengine - INFO - Epoch(val) [39][360/2475] eta: 0:02:36 time: 0.0742 data_time: 0.0466 memory: 817 2022/07/30 15:46:00 - mmengine - INFO - Epoch(val) [39][380/2475] eta: 0:02:53 time: 0.0826 data_time: 0.0567 memory: 817 2022/07/30 15:46:02 - mmengine - INFO - Epoch(val) [39][400/2475] eta: 0:02:33 time: 0.0738 data_time: 0.0465 memory: 817 2022/07/30 15:46:03 - mmengine - INFO - Epoch(val) [39][420/2475] eta: 0:02:43 time: 0.0795 data_time: 0.0487 memory: 817 2022/07/30 15:46:05 - mmengine - INFO - Epoch(val) [39][440/2475] eta: 0:02:44 time: 0.0807 data_time: 0.0532 memory: 817 2022/07/30 15:46:07 - mmengine - INFO - Epoch(val) [39][460/2475] eta: 0:02:54 time: 0.0868 data_time: 0.0592 memory: 817 2022/07/30 15:46:08 - mmengine - INFO - Epoch(val) [39][480/2475] eta: 0:02:38 time: 0.0795 data_time: 0.0524 memory: 817 2022/07/30 15:46:10 - mmengine - INFO - Epoch(val) [39][500/2475] eta: 0:02:34 time: 0.0782 data_time: 0.0509 memory: 817 2022/07/30 15:46:11 - mmengine - INFO - Epoch(val) [39][520/2475] eta: 0:02:28 time: 0.0758 data_time: 0.0474 memory: 817 2022/07/30 15:46:13 - mmengine - INFO - Epoch(val) [39][540/2475] eta: 0:02:34 time: 0.0797 data_time: 0.0511 memory: 817 2022/07/30 15:46:15 - mmengine - INFO - Epoch(val) [39][560/2475] eta: 0:02:39 time: 0.0835 data_time: 0.0554 memory: 817 2022/07/30 15:46:16 - mmengine - INFO - Epoch(val) [39][580/2475] eta: 0:02:23 time: 0.0757 data_time: 0.0479 memory: 817 2022/07/30 15:46:18 - mmengine - INFO - Epoch(val) [39][600/2475] eta: 0:02:15 time: 0.0723 data_time: 0.0445 memory: 817 2022/07/30 15:46:20 - mmengine - INFO - Epoch(val) [39][620/2475] eta: 0:02:59 time: 0.0969 data_time: 0.0702 memory: 817 2022/07/30 15:46:21 - mmengine - INFO - Epoch(val) [39][640/2475] eta: 0:02:28 time: 0.0809 data_time: 0.0538 memory: 817 2022/07/30 15:46:23 - mmengine - INFO - Epoch(val) [39][660/2475] eta: 0:02:09 time: 0.0712 data_time: 0.0451 memory: 817 2022/07/30 15:46:24 - mmengine - INFO - Epoch(val) [39][680/2475] eta: 0:02:36 time: 0.0874 data_time: 0.0583 memory: 817 2022/07/30 15:46:26 - mmengine - INFO - Epoch(val) [39][700/2475] eta: 0:02:22 time: 0.0801 data_time: 0.0523 memory: 817 2022/07/30 15:46:27 - mmengine - INFO - Epoch(val) [39][720/2475] eta: 0:02:06 time: 0.0718 data_time: 0.0460 memory: 817 2022/07/30 15:46:29 - mmengine - INFO - Epoch(val) [39][740/2475] eta: 0:02:28 time: 0.0858 data_time: 0.0587 memory: 817 2022/07/30 15:46:31 - mmengine - INFO - Epoch(val) [39][760/2475] eta: 0:02:31 time: 0.0883 data_time: 0.0617 memory: 817 2022/07/30 15:46:33 - mmengine - INFO - Epoch(val) [39][780/2475] eta: 0:02:19 time: 0.0823 data_time: 0.0549 memory: 817 2022/07/30 15:46:34 - mmengine - INFO - Epoch(val) [39][800/2475] eta: 0:01:43 time: 0.0621 data_time: 0.0356 memory: 817 2022/07/30 15:46:36 - mmengine - INFO - Epoch(val) [39][820/2475] eta: 0:02:29 time: 0.0906 data_time: 0.0634 memory: 817 2022/07/30 15:46:37 - mmengine - INFO - Epoch(val) [39][840/2475] eta: 0:02:00 time: 0.0736 data_time: 0.0452 memory: 817 2022/07/30 15:46:39 - mmengine - INFO - Epoch(val) [39][860/2475] eta: 0:02:38 time: 0.0979 data_time: 0.0707 memory: 817 2022/07/30 15:46:41 - mmengine - INFO - Epoch(val) [39][880/2475] eta: 0:02:01 time: 0.0762 data_time: 0.0509 memory: 817 2022/07/30 15:46:42 - mmengine - INFO - Epoch(val) [39][900/2475] eta: 0:02:16 time: 0.0866 data_time: 0.0588 memory: 817 2022/07/30 15:46:44 - mmengine - INFO - Epoch(val) [39][920/2475] eta: 0:02:00 time: 0.0772 data_time: 0.0496 memory: 817 2022/07/30 15:46:46 - mmengine - INFO - Epoch(val) [39][940/2475] eta: 0:02:15 time: 0.0882 data_time: 0.0607 memory: 817 2022/07/30 15:46:47 - mmengine - INFO - Epoch(val) [39][960/2475] eta: 0:01:44 time: 0.0692 data_time: 0.0412 memory: 817 2022/07/30 15:46:49 - mmengine - INFO - Epoch(val) [39][980/2475] eta: 0:02:22 time: 0.0956 data_time: 0.0676 memory: 817 2022/07/30 15:46:50 - mmengine - INFO - Epoch(val) [39][1000/2475] eta: 0:01:43 time: 0.0704 data_time: 0.0431 memory: 817 2022/07/30 15:46:52 - mmengine - INFO - Epoch(val) [39][1020/2475] eta: 0:02:13 time: 0.0918 data_time: 0.0653 memory: 817 2022/07/30 15:46:54 - mmengine - INFO - Epoch(val) [39][1040/2475] eta: 0:01:42 time: 0.0716 data_time: 0.0415 memory: 817 2022/07/30 15:46:55 - mmengine - INFO - Epoch(val) [39][1060/2475] eta: 0:02:07 time: 0.0901 data_time: 0.0633 memory: 817 2022/07/30 15:46:57 - mmengine - INFO - Epoch(val) [39][1080/2475] eta: 0:01:37 time: 0.0697 data_time: 0.0433 memory: 817 2022/07/30 15:46:59 - mmengine - INFO - Epoch(val) [39][1100/2475] eta: 0:02:05 time: 0.0916 data_time: 0.0650 memory: 817 2022/07/30 15:47:00 - mmengine - INFO - Epoch(val) [39][1120/2475] eta: 0:01:35 time: 0.0706 data_time: 0.0434 memory: 817 2022/07/30 15:47:02 - mmengine - INFO - Epoch(val) [39][1140/2475] eta: 0:02:15 time: 0.1017 data_time: 0.0755 memory: 817 2022/07/30 15:47:04 - mmengine - INFO - Epoch(val) [39][1160/2475] eta: 0:01:43 time: 0.0789 data_time: 0.0478 memory: 817 2022/07/30 15:47:05 - mmengine - INFO - Epoch(val) [39][1180/2475] eta: 0:01:52 time: 0.0872 data_time: 0.0586 memory: 817 2022/07/30 15:47:07 - mmengine - INFO - Epoch(val) [39][1200/2475] eta: 0:01:41 time: 0.0797 data_time: 0.0521 memory: 817 2022/07/30 15:47:09 - mmengine - INFO - Epoch(val) [39][1220/2475] eta: 0:01:55 time: 0.0924 data_time: 0.0642 memory: 817 2022/07/30 15:47:10 - mmengine - INFO - Epoch(val) [39][1240/2475] eta: 0:01:04 time: 0.0520 data_time: 0.0238 memory: 817 2022/07/30 15:47:12 - mmengine - INFO - Epoch(val) [39][1260/2475] eta: 0:01:45 time: 0.0868 data_time: 0.0603 memory: 817 2022/07/30 15:47:13 - mmengine - INFO - Epoch(val) [39][1280/2475] eta: 0:01:40 time: 0.0840 data_time: 0.0543 memory: 817 2022/07/30 15:47:15 - mmengine - INFO - Epoch(val) [39][1300/2475] eta: 0:01:35 time: 0.0811 data_time: 0.0514 memory: 817 2022/07/30 15:47:17 - mmengine - INFO - Epoch(val) [39][1320/2475] eta: 0:01:40 time: 0.0873 data_time: 0.0594 memory: 817 2022/07/30 15:47:18 - mmengine - INFO - Epoch(val) [39][1340/2475] eta: 0:01:24 time: 0.0746 data_time: 0.0451 memory: 817 2022/07/30 15:47:20 - mmengine - INFO - Epoch(val) [39][1360/2475] eta: 0:01:22 time: 0.0737 data_time: 0.0452 memory: 817 2022/07/30 15:47:22 - mmengine - INFO - Epoch(val) [39][1380/2475] eta: 0:01:43 time: 0.0946 data_time: 0.0669 memory: 817 2022/07/30 15:47:23 - mmengine - INFO - Epoch(val) [39][1400/2475] eta: 0:01:15 time: 0.0706 data_time: 0.0415 memory: 817 2022/07/30 15:47:25 - mmengine - INFO - Epoch(val) [39][1420/2475] eta: 0:01:30 time: 0.0862 data_time: 0.0595 memory: 817 2022/07/30 15:47:26 - mmengine - INFO - Epoch(val) [39][1440/2475] eta: 0:01:20 time: 0.0781 data_time: 0.0512 memory: 817 2022/07/30 15:47:28 - mmengine - INFO - Epoch(val) [39][1460/2475] eta: 0:01:14 time: 0.0733 data_time: 0.0456 memory: 817 2022/07/30 15:47:30 - mmengine - INFO - Epoch(val) [39][1480/2475] eta: 0:01:35 time: 0.0965 data_time: 0.0689 memory: 817 2022/07/30 15:47:31 - mmengine - INFO - Epoch(val) [39][1500/2475] eta: 0:01:10 time: 0.0722 data_time: 0.0446 memory: 817 2022/07/30 15:47:33 - mmengine - INFO - Epoch(val) [39][1520/2475] eta: 0:01:19 time: 0.0829 data_time: 0.0534 memory: 817 2022/07/30 15:47:34 - mmengine - INFO - Epoch(val) [39][1540/2475] eta: 0:01:07 time: 0.0718 data_time: 0.0362 memory: 817 2022/07/30 15:47:36 - mmengine - INFO - Epoch(val) [39][1560/2475] eta: 0:01:13 time: 0.0801 data_time: 0.0522 memory: 817 2022/07/30 15:47:37 - mmengine - INFO - Epoch(val) [39][1580/2475] eta: 0:01:07 time: 0.0757 data_time: 0.0479 memory: 817 2022/07/30 15:47:39 - mmengine - INFO - Epoch(val) [39][1600/2475] eta: 0:01:24 time: 0.0970 data_time: 0.0696 memory: 817 2022/07/30 15:47:41 - mmengine - INFO - Epoch(val) [39][1620/2475] eta: 0:01:03 time: 0.0740 data_time: 0.0472 memory: 817 2022/07/30 15:47:42 - mmengine - INFO - Epoch(val) [39][1640/2475] eta: 0:01:04 time: 0.0776 data_time: 0.0517 memory: 817 2022/07/30 15:47:44 - mmengine - INFO - Epoch(val) [39][1660/2475] eta: 0:01:08 time: 0.0846 data_time: 0.0565 memory: 817 2022/07/30 15:47:46 - mmengine - INFO - Epoch(val) [39][1680/2475] eta: 0:00:59 time: 0.0747 data_time: 0.0475 memory: 817 2022/07/30 15:47:47 - mmengine - INFO - Epoch(val) [39][1700/2475] eta: 0:01:12 time: 0.0931 data_time: 0.0659 memory: 817 2022/07/30 15:47:49 - mmengine - INFO - Epoch(val) [39][1720/2475] eta: 0:00:56 time: 0.0751 data_time: 0.0476 memory: 817 2022/07/30 15:47:51 - mmengine - INFO - Epoch(val) [39][1740/2475] eta: 0:01:00 time: 0.0824 data_time: 0.0553 memory: 817 2022/07/30 15:47:52 - mmengine - INFO - Epoch(val) [39][1760/2475] eta: 0:00:54 time: 0.0757 data_time: 0.0488 memory: 817 2022/07/30 15:47:54 - mmengine - INFO - Epoch(val) [39][1780/2475] eta: 0:01:04 time: 0.0929 data_time: 0.0445 memory: 817 2022/07/30 15:47:55 - mmengine - INFO - Epoch(val) [39][1800/2475] eta: 0:00:46 time: 0.0690 data_time: 0.0363 memory: 817 2022/07/30 15:47:57 - mmengine - INFO - Epoch(val) [39][1820/2475] eta: 0:00:55 time: 0.0852 data_time: 0.0546 memory: 817 2022/07/30 15:47:59 - mmengine - INFO - Epoch(val) [39][1840/2475] eta: 0:00:48 time: 0.0758 data_time: 0.0470 memory: 817 2022/07/30 15:48:00 - mmengine - INFO - Epoch(val) [39][1860/2475] eta: 0:00:56 time: 0.0920 data_time: 0.0637 memory: 817 2022/07/30 15:48:02 - mmengine - INFO - Epoch(val) [39][1880/2475] eta: 0:00:45 time: 0.0760 data_time: 0.0463 memory: 817 2022/07/30 15:48:03 - mmengine - INFO - Epoch(val) [39][1900/2475] eta: 0:00:43 time: 0.0757 data_time: 0.0490 memory: 817 2022/07/30 15:48:05 - mmengine - INFO - Epoch(val) [39][1920/2475] eta: 0:00:47 time: 0.0858 data_time: 0.0593 memory: 817 2022/07/30 15:48:07 - mmengine - INFO - Epoch(val) [39][1940/2475] eta: 0:00:37 time: 0.0700 data_time: 0.0442 memory: 817 2022/07/30 15:48:08 - mmengine - INFO - Epoch(val) [39][1960/2475] eta: 0:00:45 time: 0.0878 data_time: 0.0606 memory: 817 2022/07/30 15:48:10 - mmengine - INFO - Epoch(val) [39][1980/2475] eta: 0:00:36 time: 0.0735 data_time: 0.0480 memory: 817 2022/07/30 15:48:12 - mmengine - INFO - Epoch(val) [39][2000/2475] eta: 0:00:41 time: 0.0882 data_time: 0.0617 memory: 817 2022/07/30 15:48:13 - mmengine - INFO - Epoch(val) [39][2020/2475] eta: 0:00:41 time: 0.0905 data_time: 0.0451 memory: 817 2022/07/30 15:48:15 - mmengine - INFO - Epoch(val) [39][2040/2475] eta: 0:00:31 time: 0.0732 data_time: 0.0436 memory: 817 2022/07/30 15:48:16 - mmengine - INFO - Epoch(val) [39][2060/2475] eta: 0:00:29 time: 0.0717 data_time: 0.0438 memory: 817 2022/07/30 15:48:18 - mmengine - INFO - Epoch(val) [39][2080/2475] eta: 0:00:32 time: 0.0829 data_time: 0.0555 memory: 817 2022/07/30 15:48:20 - mmengine - INFO - Epoch(val) [39][2100/2475] eta: 0:00:32 time: 0.0874 data_time: 0.0606 memory: 817 2022/07/30 15:48:22 - mmengine - INFO - Epoch(val) [39][2120/2475] eta: 0:00:34 time: 0.0961 data_time: 0.0669 memory: 817 2022/07/30 15:48:23 - mmengine - INFO - Epoch(val) [39][2140/2475] eta: 0:00:20 time: 0.0616 data_time: 0.0352 memory: 817 2022/07/30 15:48:25 - mmengine - INFO - Epoch(val) [39][2160/2475] eta: 0:00:29 time: 0.0925 data_time: 0.0649 memory: 817 2022/07/30 15:48:26 - mmengine - INFO - Epoch(val) [39][2180/2475] eta: 0:00:19 time: 0.0668 data_time: 0.0376 memory: 817 2022/07/30 15:48:28 - mmengine - INFO - Epoch(val) [39][2200/2475] eta: 0:00:23 time: 0.0860 data_time: 0.0574 memory: 817 2022/07/30 15:48:29 - mmengine - INFO - Epoch(val) [39][2220/2475] eta: 0:00:18 time: 0.0724 data_time: 0.0450 memory: 817 2022/07/30 15:48:31 - mmengine - INFO - Epoch(val) [39][2240/2475] eta: 0:00:21 time: 0.0902 data_time: 0.0639 memory: 817 2022/07/30 15:48:32 - mmengine - INFO - Epoch(val) [39][2260/2475] eta: 0:00:15 time: 0.0711 data_time: 0.0430 memory: 817 2022/07/30 15:48:34 - mmengine - INFO - Epoch(val) [39][2280/2475] eta: 0:00:18 time: 0.0950 data_time: 0.0498 memory: 817 2022/07/30 15:48:36 - mmengine - INFO - Epoch(val) [39][2300/2475] eta: 0:00:12 time: 0.0733 data_time: 0.0460 memory: 817 2022/07/30 15:48:38 - mmengine - INFO - Epoch(val) [39][2320/2475] eta: 0:00:13 time: 0.0883 data_time: 0.0621 memory: 817 2022/07/30 15:48:39 - mmengine - INFO - Epoch(val) [39][2340/2475] eta: 0:00:08 time: 0.0667 data_time: 0.0396 memory: 817 2022/07/30 15:48:41 - mmengine - INFO - Epoch(val) [39][2360/2475] eta: 0:00:09 time: 0.0863 data_time: 0.0580 memory: 817 2022/07/30 15:48:42 - mmengine - INFO - Epoch(val) [39][2380/2475] eta: 0:00:07 time: 0.0792 data_time: 0.0519 memory: 817 2022/07/30 15:48:44 - mmengine - INFO - Epoch(val) [39][2400/2475] eta: 0:00:05 time: 0.0735 data_time: 0.0408 memory: 817 2022/07/30 15:48:45 - mmengine - INFO - Epoch(val) [39][2420/2475] eta: 0:00:04 time: 0.0789 data_time: 0.0509 memory: 817 2022/07/30 15:48:47 - mmengine - INFO - Epoch(val) [39][2440/2475] eta: 0:00:03 time: 0.0868 data_time: 0.0594 memory: 817 2022/07/30 15:48:49 - mmengine - INFO - Epoch(val) [39][2460/2475] eta: 0:00:01 time: 0.0870 data_time: 0.0605 memory: 817 2022/07/30 15:48:52 - mmengine - INFO - Epoch(val) [39][2475/2475] acc/top1: 0.7589 acc/top5: 0.9201 acc/mean1: 0.7589 2022/07/30 15:48:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_37.pth is removed 2022/07/30 15:48:54 - mmengine - INFO - The best checkpoint with 0.7589 acc/top1 at 40 epoch is saved to best_acc/top1_epoch_40.pth. 2022/07/30 15:49:19 - mmengine - INFO - Epoch(train) [40][20/2505] lr: 5.0000e-05 eta: 13:06:57 time: 1.2721 data_time: 0.6627 memory: 32703 grad_norm: 18.3068 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1740 loss: 1.1740 2022/07/30 15:49:38 - mmengine - INFO - Epoch(train) [40][40/2505] lr: 5.0000e-05 eta: 13:06:37 time: 0.9354 data_time: 0.3415 memory: 32703 grad_norm: 18.1912 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0384 loss: 1.0384 2022/07/30 15:49:59 - mmengine - INFO - Epoch(train) [40][60/2505] lr: 5.0000e-05 eta: 13:06:17 time: 1.0504 data_time: 0.4368 memory: 32703 grad_norm: 18.6348 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0617 loss: 1.0617 2022/07/30 15:50:19 - mmengine - INFO - Epoch(train) [40][80/2505] lr: 5.0000e-05 eta: 13:05:58 time: 1.0174 data_time: 0.3956 memory: 32703 grad_norm: 18.5922 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1321 loss: 1.1321 2022/07/30 15:50:40 - mmengine - INFO - Epoch(train) [40][100/2505] lr: 5.0000e-05 eta: 13:05:38 time: 1.0238 data_time: 0.4388 memory: 32703 grad_norm: 18.2767 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0367 loss: 1.0367 2022/07/30 15:50:57 - mmengine - INFO - Epoch(train) [40][120/2505] lr: 5.0000e-05 eta: 13:05:17 time: 0.8878 data_time: 0.2892 memory: 32703 grad_norm: 18.4512 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0346 loss: 1.0346 2022/07/30 15:51:19 - mmengine - INFO - Epoch(train) [40][140/2505] lr: 5.0000e-05 eta: 13:04:59 time: 1.1040 data_time: 0.5192 memory: 32703 grad_norm: 18.2186 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.0102 loss: 1.0102 2022/07/30 15:51:39 - mmengine - INFO - Epoch(train) [40][160/2505] lr: 5.0000e-05 eta: 13:04:38 time: 0.9685 data_time: 0.3409 memory: 32703 grad_norm: 18.6461 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0323 loss: 1.0323 2022/07/30 15:51:58 - mmengine - INFO - Epoch(train) [40][180/2505] lr: 5.0000e-05 eta: 13:04:18 time: 0.9529 data_time: 0.3712 memory: 32703 grad_norm: 19.1223 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0367 loss: 1.0367 2022/07/30 15:52:16 - mmengine - INFO - Epoch(train) [40][200/2505] lr: 5.0000e-05 eta: 13:03:58 time: 0.9233 data_time: 0.2999 memory: 32703 grad_norm: 18.4516 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9765 loss: 0.9765 2022/07/30 15:52:38 - mmengine - INFO - Epoch(train) [40][220/2505] lr: 5.0000e-05 eta: 13:03:39 time: 1.0681 data_time: 0.4415 memory: 32703 grad_norm: 18.4057 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0008 loss: 1.0008 2022/07/30 15:52:57 - mmengine - INFO - Epoch(train) [40][240/2505] lr: 5.0000e-05 eta: 13:03:18 time: 0.9418 data_time: 0.2348 memory: 32703 grad_norm: 18.7569 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1073 loss: 1.1073 2022/07/30 15:53:21 - mmengine - INFO - Epoch(train) [40][260/2505] lr: 5.0000e-05 eta: 13:03:01 time: 1.2120 data_time: 0.4242 memory: 32703 grad_norm: 19.6487 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0558 loss: 1.0558 2022/07/30 15:53:38 - mmengine - INFO - Epoch(train) [40][280/2505] lr: 5.0000e-05 eta: 13:02:39 time: 0.8450 data_time: 0.0277 memory: 32703 grad_norm: 18.6229 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0022 loss: 1.0022 2022/07/30 15:53:58 - mmengine - INFO - Epoch(train) [40][300/2505] lr: 5.0000e-05 eta: 13:02:19 time: 0.9964 data_time: 0.0296 memory: 32703 grad_norm: 19.0197 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8575 loss: 0.8575 2022/07/30 15:54:04 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 15:54:18 - mmengine - INFO - Epoch(train) [40][320/2505] lr: 5.0000e-05 eta: 13:02:00 time: 1.0124 data_time: 0.0247 memory: 32703 grad_norm: 17.7178 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9087 loss: 0.9087 2022/07/30 15:54:39 - mmengine - INFO - Epoch(train) [40][340/2505] lr: 5.0000e-05 eta: 13:01:40 time: 1.0503 data_time: 0.0644 memory: 32703 grad_norm: 19.0920 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9666 loss: 0.9666 2022/07/30 15:54:58 - mmengine - INFO - Epoch(train) [40][360/2505] lr: 5.0000e-05 eta: 13:01:20 time: 0.9539 data_time: 0.1257 memory: 32703 grad_norm: 19.3319 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1483 loss: 1.1483 2022/07/30 15:55:19 - mmengine - INFO - Epoch(train) [40][380/2505] lr: 5.0000e-05 eta: 13:01:01 time: 1.0257 data_time: 0.3362 memory: 32703 grad_norm: 18.0153 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0597 loss: 1.0597 2022/07/30 15:55:38 - mmengine - INFO - Epoch(train) [40][400/2505] lr: 5.0000e-05 eta: 13:00:41 time: 0.9595 data_time: 0.1483 memory: 32703 grad_norm: 18.9009 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9959 loss: 0.9959 2022/07/30 15:55:58 - mmengine - INFO - Epoch(train) [40][420/2505] lr: 5.0000e-05 eta: 13:00:21 time: 1.0328 data_time: 0.3757 memory: 32703 grad_norm: 19.2911 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.0958 loss: 1.0958 2022/07/30 15:56:17 - mmengine - INFO - Epoch(train) [40][440/2505] lr: 5.0000e-05 eta: 13:00:01 time: 0.9487 data_time: 0.2919 memory: 32703 grad_norm: 18.7164 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3202 loss: 1.3202 2022/07/30 15:56:37 - mmengine - INFO - Epoch(train) [40][460/2505] lr: 5.0000e-05 eta: 12:59:41 time: 0.9816 data_time: 0.3771 memory: 32703 grad_norm: 18.2526 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9696 loss: 0.9696 2022/07/30 15:56:57 - mmengine - INFO - Epoch(train) [40][480/2505] lr: 5.0000e-05 eta: 12:59:21 time: 1.0119 data_time: 0.3959 memory: 32703 grad_norm: 18.9260 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 0.9312 loss: 0.9312 2022/07/30 15:57:18 - mmengine - INFO - Epoch(train) [40][500/2505] lr: 5.0000e-05 eta: 12:59:02 time: 1.0227 data_time: 0.4278 memory: 32703 grad_norm: 19.0946 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0170 loss: 1.0170 2022/07/30 15:57:34 - mmengine - INFO - Epoch(train) [40][520/2505] lr: 5.0000e-05 eta: 12:58:40 time: 0.8346 data_time: 0.2495 memory: 32703 grad_norm: 18.8585 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0411 loss: 1.0411 2022/07/30 15:57:57 - mmengine - INFO - Epoch(train) [40][540/2505] lr: 5.0000e-05 eta: 12:58:22 time: 1.1327 data_time: 0.5223 memory: 32703 grad_norm: 18.6994 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2047 loss: 1.2047 2022/07/30 15:58:14 - mmengine - INFO - Epoch(train) [40][560/2505] lr: 5.0000e-05 eta: 12:58:00 time: 0.8326 data_time: 0.2487 memory: 32703 grad_norm: 18.3857 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9283 loss: 0.9283 2022/07/30 15:58:36 - mmengine - INFO - Epoch(train) [40][580/2505] lr: 5.0000e-05 eta: 12:57:42 time: 1.1012 data_time: 0.4869 memory: 32703 grad_norm: 18.6164 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0979 loss: 1.0979 2022/07/30 15:58:53 - mmengine - INFO - Epoch(train) [40][600/2505] lr: 5.0000e-05 eta: 12:57:21 time: 0.8768 data_time: 0.2914 memory: 32703 grad_norm: 18.0785 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9922 loss: 0.9922 2022/07/30 15:59:13 - mmengine - INFO - Epoch(train) [40][620/2505] lr: 5.0000e-05 eta: 12:57:01 time: 0.9936 data_time: 0.3693 memory: 32703 grad_norm: 18.7436 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8437 loss: 0.8437 2022/07/30 15:59:32 - mmengine - INFO - Epoch(train) [40][640/2505] lr: 5.0000e-05 eta: 12:56:40 time: 0.9197 data_time: 0.2708 memory: 32703 grad_norm: 18.2684 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9665 loss: 0.9665 2022/07/30 15:59:52 - mmengine - INFO - Epoch(train) [40][660/2505] lr: 5.0000e-05 eta: 12:56:21 time: 1.0219 data_time: 0.3447 memory: 32703 grad_norm: 18.2821 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0382 loss: 1.0382 2022/07/30 16:00:12 - mmengine - INFO - Epoch(train) [40][680/2505] lr: 5.0000e-05 eta: 12:56:01 time: 0.9951 data_time: 0.1226 memory: 32703 grad_norm: 19.2137 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1232 loss: 1.1232 2022/07/30 16:00:32 - mmengine - INFO - Epoch(train) [40][700/2505] lr: 5.0000e-05 eta: 12:55:41 time: 1.0040 data_time: 0.3437 memory: 32703 grad_norm: 18.3490 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0734 loss: 1.0734 2022/07/30 16:00:50 - mmengine - INFO - Epoch(train) [40][720/2505] lr: 5.0000e-05 eta: 12:55:20 time: 0.8953 data_time: 0.1848 memory: 32703 grad_norm: 19.2807 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0966 loss: 1.0966 2022/07/30 16:01:12 - mmengine - INFO - Epoch(train) [40][740/2505] lr: 5.0000e-05 eta: 12:55:01 time: 1.0781 data_time: 0.4454 memory: 32703 grad_norm: 18.5261 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0926 loss: 1.0926 2022/07/30 16:01:31 - mmengine - INFO - Epoch(train) [40][760/2505] lr: 5.0000e-05 eta: 12:54:41 time: 0.9496 data_time: 0.3465 memory: 32703 grad_norm: 19.1528 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2708 loss: 1.2708 2022/07/30 16:01:49 - mmengine - INFO - Epoch(train) [40][780/2505] lr: 5.0000e-05 eta: 12:54:20 time: 0.8977 data_time: 0.2619 memory: 32703 grad_norm: 18.7146 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9794 loss: 0.9794 2022/07/30 16:02:07 - mmengine - INFO - Epoch(train) [40][800/2505] lr: 5.0000e-05 eta: 12:54:00 time: 0.9341 data_time: 0.2312 memory: 32703 grad_norm: 19.0315 top1_acc: 0.4167 top5_acc: 1.0000 loss_cls: 1.0560 loss: 1.0560 2022/07/30 16:02:26 - mmengine - INFO - Epoch(train) [40][820/2505] lr: 5.0000e-05 eta: 12:53:40 time: 0.9491 data_time: 0.1179 memory: 32703 grad_norm: 18.5786 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8716 loss: 0.8716 2022/07/30 16:02:50 - mmengine - INFO - Epoch(train) [40][840/2505] lr: 5.0000e-05 eta: 12:53:22 time: 1.1755 data_time: 0.0321 memory: 32703 grad_norm: 18.2852 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8304 loss: 0.8304 2022/07/30 16:03:08 - mmengine - INFO - Epoch(train) [40][860/2505] lr: 5.0000e-05 eta: 12:53:01 time: 0.8989 data_time: 0.0282 memory: 32703 grad_norm: 18.9231 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9791 loss: 0.9791 2022/07/30 16:03:28 - mmengine - INFO - Epoch(train) [40][880/2505] lr: 5.0000e-05 eta: 12:52:41 time: 1.0188 data_time: 0.0270 memory: 32703 grad_norm: 17.7164 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9645 loss: 0.9645 2022/07/30 16:03:47 - mmengine - INFO - Epoch(train) [40][900/2505] lr: 5.0000e-05 eta: 12:52:21 time: 0.9282 data_time: 0.0298 memory: 32703 grad_norm: 19.2745 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.9979 loss: 0.9979 2022/07/30 16:04:09 - mmengine - INFO - Epoch(train) [40][920/2505] lr: 5.0000e-05 eta: 12:52:02 time: 1.0933 data_time: 0.0305 memory: 32703 grad_norm: 18.9979 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0026 loss: 1.0026 2022/07/30 16:04:26 - mmengine - INFO - Epoch(train) [40][940/2505] lr: 5.0000e-05 eta: 12:51:41 time: 0.8776 data_time: 0.0319 memory: 32703 grad_norm: 19.1059 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9324 loss: 0.9324 2022/07/30 16:04:47 - mmengine - INFO - Epoch(train) [40][960/2505] lr: 5.0000e-05 eta: 12:51:22 time: 1.0555 data_time: 0.0301 memory: 32703 grad_norm: 18.3481 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0974 loss: 1.0974 2022/07/30 16:05:05 - mmengine - INFO - Epoch(train) [40][980/2505] lr: 5.0000e-05 eta: 12:51:01 time: 0.8857 data_time: 0.0304 memory: 32703 grad_norm: 18.5392 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1101 loss: 1.1101 2022/07/30 16:05:26 - mmengine - INFO - Epoch(train) [40][1000/2505] lr: 5.0000e-05 eta: 12:50:42 time: 1.0499 data_time: 0.0316 memory: 32703 grad_norm: 18.5849 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0564 loss: 1.0564 2022/07/30 16:05:44 - mmengine - INFO - Epoch(train) [40][1020/2505] lr: 5.0000e-05 eta: 12:50:21 time: 0.9215 data_time: 0.0282 memory: 32703 grad_norm: 19.4857 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1133 loss: 1.1133 2022/07/30 16:06:06 - mmengine - INFO - Epoch(train) [40][1040/2505] lr: 5.0000e-05 eta: 12:50:02 time: 1.0639 data_time: 0.0268 memory: 32703 grad_norm: 17.6406 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9300 loss: 0.9300 2022/07/30 16:06:24 - mmengine - INFO - Epoch(train) [40][1060/2505] lr: 5.0000e-05 eta: 12:49:41 time: 0.9234 data_time: 0.0316 memory: 32703 grad_norm: 19.0965 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.0927 loss: 1.0927 2022/07/30 16:06:45 - mmengine - INFO - Epoch(train) [40][1080/2505] lr: 5.0000e-05 eta: 12:49:22 time: 1.0532 data_time: 0.0253 memory: 32703 grad_norm: 18.6383 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1845 loss: 1.1845 2022/07/30 16:07:03 - mmengine - INFO - Epoch(train) [40][1100/2505] lr: 5.0000e-05 eta: 12:49:01 time: 0.9100 data_time: 0.0319 memory: 32703 grad_norm: 18.7451 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9652 loss: 0.9652 2022/07/30 16:07:24 - mmengine - INFO - Epoch(train) [40][1120/2505] lr: 5.0000e-05 eta: 12:48:42 time: 1.0344 data_time: 0.0242 memory: 32703 grad_norm: 19.2918 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0905 loss: 1.0905 2022/07/30 16:07:42 - mmengine - INFO - Epoch(train) [40][1140/2505] lr: 5.0000e-05 eta: 12:48:21 time: 0.8900 data_time: 0.0303 memory: 32703 grad_norm: 18.8256 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1338 loss: 1.1338 2022/07/30 16:08:02 - mmengine - INFO - Epoch(train) [40][1160/2505] lr: 5.0000e-05 eta: 12:48:01 time: 1.0065 data_time: 0.0274 memory: 32703 grad_norm: 18.6718 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9799 loss: 0.9799 2022/07/30 16:08:19 - mmengine - INFO - Epoch(train) [40][1180/2505] lr: 5.0000e-05 eta: 12:47:40 time: 0.8691 data_time: 0.0287 memory: 32703 grad_norm: 18.9160 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2409 loss: 1.2409 2022/07/30 16:08:41 - mmengine - INFO - Epoch(train) [40][1200/2505] lr: 5.0000e-05 eta: 12:47:21 time: 1.0654 data_time: 0.0264 memory: 32703 grad_norm: 19.1027 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7974 loss: 0.7974 2022/07/30 16:08:59 - mmengine - INFO - Epoch(train) [40][1220/2505] lr: 5.0000e-05 eta: 12:47:01 time: 0.8988 data_time: 0.0281 memory: 32703 grad_norm: 17.7861 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9990 loss: 0.9990 2022/07/30 16:09:20 - mmengine - INFO - Epoch(train) [40][1240/2505] lr: 5.0000e-05 eta: 12:46:41 time: 1.0424 data_time: 0.0255 memory: 32703 grad_norm: 18.4951 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.1388 loss: 1.1388 2022/07/30 16:09:38 - mmengine - INFO - Epoch(train) [40][1260/2505] lr: 5.0000e-05 eta: 12:46:21 time: 0.9213 data_time: 0.0293 memory: 32703 grad_norm: 19.0597 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8279 loss: 0.8279 2022/07/30 16:09:59 - mmengine - INFO - Epoch(train) [40][1280/2505] lr: 5.0000e-05 eta: 12:46:01 time: 1.0566 data_time: 0.0261 memory: 32703 grad_norm: 18.4816 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0242 loss: 1.0242 2022/07/30 16:10:18 - mmengine - INFO - Epoch(train) [40][1300/2505] lr: 5.0000e-05 eta: 12:45:41 time: 0.9175 data_time: 0.0301 memory: 32703 grad_norm: 19.1688 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0326 loss: 1.0326 2022/07/30 16:10:24 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 16:10:39 - mmengine - INFO - Epoch(train) [40][1320/2505] lr: 5.0000e-05 eta: 12:45:22 time: 1.0615 data_time: 0.0266 memory: 32703 grad_norm: 19.2286 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1490 loss: 1.1490 2022/07/30 16:10:58 - mmengine - INFO - Epoch(train) [40][1340/2505] lr: 5.0000e-05 eta: 12:45:01 time: 0.9542 data_time: 0.0309 memory: 32703 grad_norm: 18.9396 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9904 loss: 0.9904 2022/07/30 16:11:17 - mmengine - INFO - Epoch(train) [40][1360/2505] lr: 5.0000e-05 eta: 12:44:41 time: 0.9659 data_time: 0.0288 memory: 32703 grad_norm: 18.0849 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8768 loss: 0.8768 2022/07/30 16:11:36 - mmengine - INFO - Epoch(train) [40][1380/2505] lr: 5.0000e-05 eta: 12:44:21 time: 0.9525 data_time: 0.0287 memory: 32703 grad_norm: 18.9722 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0959 loss: 1.0959 2022/07/30 16:11:58 - mmengine - INFO - Epoch(train) [40][1400/2505] lr: 5.0000e-05 eta: 12:44:02 time: 1.0965 data_time: 0.0271 memory: 32703 grad_norm: 18.9347 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8765 loss: 0.8765 2022/07/30 16:12:17 - mmengine - INFO - Epoch(train) [40][1420/2505] lr: 5.0000e-05 eta: 12:43:42 time: 0.9511 data_time: 0.0286 memory: 32703 grad_norm: 18.7076 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9002 loss: 0.9002 2022/07/30 16:12:37 - mmengine - INFO - Epoch(train) [40][1440/2505] lr: 5.0000e-05 eta: 12:43:22 time: 1.0037 data_time: 0.0315 memory: 32703 grad_norm: 18.7684 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0385 loss: 1.0385 2022/07/30 16:12:54 - mmengine - INFO - Epoch(train) [40][1460/2505] lr: 5.0000e-05 eta: 12:43:01 time: 0.8440 data_time: 0.0294 memory: 32703 grad_norm: 18.9613 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.1209 loss: 1.1209 2022/07/30 16:13:17 - mmengine - INFO - Epoch(train) [40][1480/2505] lr: 5.0000e-05 eta: 12:42:42 time: 1.1303 data_time: 0.0357 memory: 32703 grad_norm: 17.6512 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0347 loss: 1.0347 2022/07/30 16:13:34 - mmengine - INFO - Epoch(train) [40][1500/2505] lr: 5.0000e-05 eta: 12:42:21 time: 0.8366 data_time: 0.0266 memory: 32703 grad_norm: 18.8820 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0794 loss: 1.0794 2022/07/30 16:13:55 - mmengine - INFO - Epoch(train) [40][1520/2505] lr: 5.0000e-05 eta: 12:42:02 time: 1.0465 data_time: 0.0263 memory: 32703 grad_norm: 18.9832 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0777 loss: 1.0777 2022/07/30 16:14:13 - mmengine - INFO - Epoch(train) [40][1540/2505] lr: 5.0000e-05 eta: 12:41:41 time: 0.9359 data_time: 0.0329 memory: 32703 grad_norm: 18.5165 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0346 loss: 1.0346 2022/07/30 16:14:33 - mmengine - INFO - Epoch(train) [40][1560/2505] lr: 5.0000e-05 eta: 12:41:22 time: 1.0028 data_time: 0.0269 memory: 32703 grad_norm: 18.8748 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0536 loss: 1.0536 2022/07/30 16:14:52 - mmengine - INFO - Epoch(train) [40][1580/2505] lr: 5.0000e-05 eta: 12:41:01 time: 0.9305 data_time: 0.0320 memory: 32703 grad_norm: 18.3690 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3344 loss: 1.3344 2022/07/30 16:15:13 - mmengine - INFO - Epoch(train) [40][1600/2505] lr: 5.0000e-05 eta: 12:40:42 time: 1.0638 data_time: 0.0276 memory: 32703 grad_norm: 18.0621 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0582 loss: 1.0582 2022/07/30 16:15:31 - mmengine - INFO - Epoch(train) [40][1620/2505] lr: 5.0000e-05 eta: 12:40:21 time: 0.8964 data_time: 0.0349 memory: 32703 grad_norm: 18.7331 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1140 loss: 1.1140 2022/07/30 16:15:52 - mmengine - INFO - Epoch(train) [40][1640/2505] lr: 5.0000e-05 eta: 12:40:02 time: 1.0222 data_time: 0.0272 memory: 32703 grad_norm: 19.2005 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2622 loss: 1.2622 2022/07/30 16:16:10 - mmengine - INFO - Epoch(train) [40][1660/2505] lr: 5.0000e-05 eta: 12:39:41 time: 0.9355 data_time: 0.0273 memory: 32703 grad_norm: 19.1101 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9464 loss: 0.9464 2022/07/30 16:16:31 - mmengine - INFO - Epoch(train) [40][1680/2505] lr: 5.0000e-05 eta: 12:39:22 time: 1.0308 data_time: 0.0301 memory: 32703 grad_norm: 18.0070 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7976 loss: 0.7976 2022/07/30 16:16:49 - mmengine - INFO - Epoch(train) [40][1700/2505] lr: 5.0000e-05 eta: 12:39:01 time: 0.9163 data_time: 0.0280 memory: 32703 grad_norm: 19.7268 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1010 loss: 1.1010 2022/07/30 16:17:11 - mmengine - INFO - Epoch(train) [40][1720/2505] lr: 5.0000e-05 eta: 12:38:42 time: 1.0724 data_time: 0.0265 memory: 32703 grad_norm: 18.4714 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0700 loss: 1.0700 2022/07/30 16:17:29 - mmengine - INFO - Epoch(train) [40][1740/2505] lr: 5.0000e-05 eta: 12:38:22 time: 0.9313 data_time: 0.0341 memory: 32703 grad_norm: 18.4081 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9710 loss: 0.9710 2022/07/30 16:17:49 - mmengine - INFO - Epoch(train) [40][1760/2505] lr: 5.0000e-05 eta: 12:38:02 time: 0.9915 data_time: 0.0298 memory: 32703 grad_norm: 18.1645 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9587 loss: 0.9587 2022/07/30 16:18:09 - mmengine - INFO - Epoch(train) [40][1780/2505] lr: 5.0000e-05 eta: 12:37:42 time: 1.0176 data_time: 0.0262 memory: 32703 grad_norm: 18.7397 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9270 loss: 0.9270 2022/07/30 16:18:28 - mmengine - INFO - Epoch(train) [40][1800/2505] lr: 5.0000e-05 eta: 12:37:22 time: 0.9026 data_time: 0.0266 memory: 32703 grad_norm: 19.0403 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8821 loss: 0.8821 2022/07/30 16:18:49 - mmengine - INFO - Epoch(train) [40][1820/2505] lr: 5.0000e-05 eta: 12:37:03 time: 1.0808 data_time: 0.0275 memory: 32703 grad_norm: 18.3088 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9373 loss: 0.9373 2022/07/30 16:19:08 - mmengine - INFO - Epoch(train) [40][1840/2505] lr: 5.0000e-05 eta: 12:36:42 time: 0.9247 data_time: 0.0311 memory: 32703 grad_norm: 19.3284 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.3120 loss: 1.3120 2022/07/30 16:19:28 - mmengine - INFO - Epoch(train) [40][1860/2505] lr: 5.0000e-05 eta: 12:36:23 time: 1.0288 data_time: 0.0280 memory: 32703 grad_norm: 18.7945 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0314 loss: 1.0314 2022/07/30 16:19:47 - mmengine - INFO - Epoch(train) [40][1880/2505] lr: 5.0000e-05 eta: 12:36:03 time: 0.9529 data_time: 0.0298 memory: 32703 grad_norm: 18.9467 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0254 loss: 1.0254 2022/07/30 16:20:08 - mmengine - INFO - Epoch(train) [40][1900/2505] lr: 5.0000e-05 eta: 12:35:43 time: 1.0502 data_time: 0.0263 memory: 32703 grad_norm: 18.0153 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8509 loss: 0.8509 2022/07/30 16:20:26 - mmengine - INFO - Epoch(train) [40][1920/2505] lr: 5.0000e-05 eta: 12:35:23 time: 0.9005 data_time: 0.0304 memory: 32703 grad_norm: 18.1461 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0163 loss: 1.0163 2022/07/30 16:20:48 - mmengine - INFO - Epoch(train) [40][1940/2505] lr: 5.0000e-05 eta: 12:35:03 time: 1.0777 data_time: 0.0320 memory: 32703 grad_norm: 18.9387 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0166 loss: 1.0166 2022/07/30 16:21:05 - mmengine - INFO - Epoch(train) [40][1960/2505] lr: 5.0000e-05 eta: 12:34:43 time: 0.8746 data_time: 0.0385 memory: 32703 grad_norm: 19.2077 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0259 loss: 1.0259 2022/07/30 16:21:26 - mmengine - INFO - Epoch(train) [40][1980/2505] lr: 5.0000e-05 eta: 12:34:23 time: 1.0531 data_time: 0.0278 memory: 32703 grad_norm: 19.5347 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1181 loss: 1.1181 2022/07/30 16:21:45 - mmengine - INFO - Epoch(train) [40][2000/2505] lr: 5.0000e-05 eta: 12:34:03 time: 0.9057 data_time: 0.0304 memory: 32703 grad_norm: 17.6503 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0983 loss: 1.0983 2022/07/30 16:22:06 - mmengine - INFO - Epoch(train) [40][2020/2505] lr: 5.0000e-05 eta: 12:33:43 time: 1.0548 data_time: 0.0258 memory: 32703 grad_norm: 18.4816 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8667 loss: 0.8667 2022/07/30 16:22:24 - mmengine - INFO - Epoch(train) [40][2040/2505] lr: 5.0000e-05 eta: 12:33:23 time: 0.9039 data_time: 0.0312 memory: 32703 grad_norm: 19.0796 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0082 loss: 1.0082 2022/07/30 16:22:45 - mmengine - INFO - Epoch(train) [40][2060/2505] lr: 5.0000e-05 eta: 12:33:03 time: 1.0467 data_time: 0.0273 memory: 32703 grad_norm: 18.6041 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1034 loss: 1.1034 2022/07/30 16:23:03 - mmengine - INFO - Epoch(train) [40][2080/2505] lr: 5.0000e-05 eta: 12:32:43 time: 0.9157 data_time: 0.0276 memory: 32703 grad_norm: 18.5366 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0014 loss: 1.0014 2022/07/30 16:23:24 - mmengine - INFO - Epoch(train) [40][2100/2505] lr: 5.0000e-05 eta: 12:32:23 time: 1.0265 data_time: 0.0349 memory: 32703 grad_norm: 18.1375 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1339 loss: 1.1339 2022/07/30 16:23:43 - mmengine - INFO - Epoch(train) [40][2120/2505] lr: 5.0000e-05 eta: 12:32:03 time: 0.9717 data_time: 0.0281 memory: 32703 grad_norm: 18.4014 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9917 loss: 0.9917 2022/07/30 16:24:04 - mmengine - INFO - Epoch(train) [40][2140/2505] lr: 5.0000e-05 eta: 12:31:44 time: 1.0445 data_time: 0.0298 memory: 32703 grad_norm: 19.2925 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8701 loss: 0.8701 2022/07/30 16:24:23 - mmengine - INFO - Epoch(train) [40][2160/2505] lr: 5.0000e-05 eta: 12:31:24 time: 0.9506 data_time: 0.0296 memory: 32703 grad_norm: 18.7562 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9688 loss: 0.9688 2022/07/30 16:24:42 - mmengine - INFO - Epoch(train) [40][2180/2505] lr: 5.0000e-05 eta: 12:31:03 time: 0.9567 data_time: 0.0474 memory: 32703 grad_norm: 18.4205 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9934 loss: 0.9934 2022/07/30 16:25:02 - mmengine - INFO - Epoch(train) [40][2200/2505] lr: 5.0000e-05 eta: 12:30:43 time: 0.9702 data_time: 0.1411 memory: 32703 grad_norm: 19.1360 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9906 loss: 0.9906 2022/07/30 16:25:22 - mmengine - INFO - Epoch(train) [40][2220/2505] lr: 5.0000e-05 eta: 12:30:24 time: 1.0139 data_time: 0.0533 memory: 32703 grad_norm: 18.5005 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2601 loss: 1.2601 2022/07/30 16:25:41 - mmengine - INFO - Epoch(train) [40][2240/2505] lr: 5.0000e-05 eta: 12:30:03 time: 0.9439 data_time: 0.0821 memory: 32703 grad_norm: 19.1753 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2017 loss: 1.2017 2022/07/30 16:26:02 - mmengine - INFO - Epoch(train) [40][2260/2505] lr: 5.0000e-05 eta: 12:29:44 time: 1.0481 data_time: 0.1533 memory: 32703 grad_norm: 18.6393 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.3574 loss: 1.3574 2022/07/30 16:26:21 - mmengine - INFO - Epoch(train) [40][2280/2505] lr: 5.0000e-05 eta: 12:29:24 time: 0.9669 data_time: 0.1494 memory: 32703 grad_norm: 18.3102 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.0150 loss: 1.0150 2022/07/30 16:26:40 - mmengine - INFO - Epoch(train) [40][2300/2505] lr: 5.0000e-05 eta: 12:29:04 time: 0.9583 data_time: 0.2232 memory: 32703 grad_norm: 18.3891 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2160 loss: 1.2160 2022/07/30 16:26:46 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 16:27:01 - mmengine - INFO - Epoch(train) [40][2320/2505] lr: 5.0000e-05 eta: 12:28:45 time: 1.0420 data_time: 0.3248 memory: 32703 grad_norm: 19.0658 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9423 loss: 0.9423 2022/07/30 16:27:19 - mmengine - INFO - Epoch(train) [40][2340/2505] lr: 5.0000e-05 eta: 12:28:24 time: 0.8896 data_time: 0.2052 memory: 32703 grad_norm: 17.2405 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1769 loss: 1.1769 2022/07/30 16:27:40 - mmengine - INFO - Epoch(train) [40][2360/2505] lr: 5.0000e-05 eta: 12:28:04 time: 1.0514 data_time: 0.1958 memory: 32703 grad_norm: 18.9540 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0410 loss: 1.0410 2022/07/30 16:27:59 - mmengine - INFO - Epoch(train) [40][2380/2505] lr: 5.0000e-05 eta: 12:27:45 time: 0.9807 data_time: 0.1432 memory: 32703 grad_norm: 18.0862 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1064 loss: 1.1064 2022/07/30 16:28:19 - mmengine - INFO - Epoch(train) [40][2400/2505] lr: 5.0000e-05 eta: 12:27:25 time: 0.9938 data_time: 0.1851 memory: 32703 grad_norm: 18.6715 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0453 loss: 1.0453 2022/07/30 16:28:38 - mmengine - INFO - Epoch(train) [40][2420/2505] lr: 5.0000e-05 eta: 12:27:04 time: 0.9457 data_time: 0.2085 memory: 32703 grad_norm: 18.2059 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0990 loss: 1.0990 2022/07/30 16:28:59 - mmengine - INFO - Epoch(train) [40][2440/2505] lr: 5.0000e-05 eta: 12:26:45 time: 1.0227 data_time: 0.2739 memory: 32703 grad_norm: 18.6726 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1107 loss: 1.1107 2022/07/30 16:29:16 - mmengine - INFO - Epoch(train) [40][2460/2505] lr: 5.0000e-05 eta: 12:26:24 time: 0.8770 data_time: 0.1265 memory: 32703 grad_norm: 18.3855 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.7487 loss: 0.7487 2022/07/30 16:29:37 - mmengine - INFO - Epoch(train) [40][2480/2505] lr: 5.0000e-05 eta: 12:26:05 time: 1.0387 data_time: 0.0331 memory: 32703 grad_norm: 18.3128 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1480 loss: 1.1480 2022/07/30 16:29:54 - mmengine - INFO - Epoch(train) [40][2500/2505] lr: 5.0000e-05 eta: 12:25:43 time: 0.8375 data_time: 0.0271 memory: 32703 grad_norm: 18.9161 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9891 loss: 0.9891 2022/07/30 16:29:57 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 16:29:57 - mmengine - INFO - Epoch(train) [40][2505/2505] lr: 5.0000e-05 eta: 12:25:43 time: 0.6973 data_time: 0.0201 memory: 32703 grad_norm: 18.7886 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0340 loss: 1.0340 2022/07/30 16:29:57 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/07/30 16:30:26 - mmengine - INFO - Epoch(train) [41][20/2505] lr: 5.0000e-05 eta: 12:25:18 time: 1.2268 data_time: 0.6269 memory: 32703 grad_norm: 18.1239 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0945 loss: 1.0945 2022/07/30 16:30:45 - mmengine - INFO - Epoch(train) [41][40/2505] lr: 5.0000e-05 eta: 12:24:58 time: 0.9442 data_time: 0.3335 memory: 32703 grad_norm: 18.0848 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0246 loss: 1.0246 2022/07/30 16:31:06 - mmengine - INFO - Epoch(train) [41][60/2505] lr: 5.0000e-05 eta: 12:24:39 time: 1.0220 data_time: 0.4018 memory: 32703 grad_norm: 18.5747 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0225 loss: 1.0225 2022/07/30 16:31:26 - mmengine - INFO - Epoch(train) [41][80/2505] lr: 5.0000e-05 eta: 12:24:19 time: 1.0127 data_time: 0.4012 memory: 32703 grad_norm: 19.4317 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1248 loss: 1.1248 2022/07/30 16:31:45 - mmengine - INFO - Epoch(train) [41][100/2505] lr: 5.0000e-05 eta: 12:23:59 time: 0.9396 data_time: 0.3417 memory: 32703 grad_norm: 18.4783 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1097 loss: 1.1097 2022/07/30 16:32:04 - mmengine - INFO - Epoch(train) [41][120/2505] lr: 5.0000e-05 eta: 12:23:39 time: 0.9744 data_time: 0.3544 memory: 32703 grad_norm: 18.5654 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1958 loss: 1.1958 2022/07/30 16:32:24 - mmengine - INFO - Epoch(train) [41][140/2505] lr: 5.0000e-05 eta: 12:23:19 time: 1.0103 data_time: 0.4054 memory: 32703 grad_norm: 18.3807 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9963 loss: 0.9963 2022/07/30 16:32:44 - mmengine - INFO - Epoch(train) [41][160/2505] lr: 5.0000e-05 eta: 12:22:59 time: 0.9629 data_time: 0.3430 memory: 32703 grad_norm: 18.4506 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1656 loss: 1.1656 2022/07/30 16:33:04 - mmengine - INFO - Epoch(train) [41][180/2505] lr: 5.0000e-05 eta: 12:22:39 time: 0.9879 data_time: 0.3687 memory: 32703 grad_norm: 18.7449 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0058 loss: 1.0058 2022/07/30 16:33:23 - mmengine - INFO - Epoch(train) [41][200/2505] lr: 5.0000e-05 eta: 12:22:19 time: 0.9794 data_time: 0.3652 memory: 32703 grad_norm: 18.3083 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8572 loss: 0.8572 2022/07/30 16:33:43 - mmengine - INFO - Epoch(train) [41][220/2505] lr: 5.0000e-05 eta: 12:21:59 time: 0.9736 data_time: 0.3723 memory: 32703 grad_norm: 18.8566 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9155 loss: 0.9155 2022/07/30 16:34:01 - mmengine - INFO - Epoch(train) [41][240/2505] lr: 5.0000e-05 eta: 12:21:39 time: 0.9443 data_time: 0.3119 memory: 32703 grad_norm: 18.6965 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.7943 loss: 0.7943 2022/07/30 16:34:21 - mmengine - INFO - Epoch(train) [41][260/2505] lr: 5.0000e-05 eta: 12:21:19 time: 0.9921 data_time: 0.3247 memory: 32703 grad_norm: 17.8791 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7481 loss: 0.7481 2022/07/30 16:34:41 - mmengine - INFO - Epoch(train) [41][280/2505] lr: 5.0000e-05 eta: 12:20:59 time: 0.9623 data_time: 0.2994 memory: 32703 grad_norm: 18.5543 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9607 loss: 0.9607 2022/07/30 16:35:03 - mmengine - INFO - Epoch(train) [41][300/2505] lr: 5.0000e-05 eta: 12:20:40 time: 1.1304 data_time: 0.5015 memory: 32703 grad_norm: 19.0182 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0392 loss: 1.0392 2022/07/30 16:35:21 - mmengine - INFO - Epoch(train) [41][320/2505] lr: 5.0000e-05 eta: 12:20:19 time: 0.8910 data_time: 0.2749 memory: 32703 grad_norm: 19.1691 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1360 loss: 1.1360 2022/07/30 16:35:43 - mmengine - INFO - Epoch(train) [41][340/2505] lr: 5.0000e-05 eta: 12:20:00 time: 1.0763 data_time: 0.4522 memory: 32703 grad_norm: 18.6797 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1120 loss: 1.1120 2022/07/30 16:36:00 - mmengine - INFO - Epoch(train) [41][360/2505] lr: 5.0000e-05 eta: 12:19:39 time: 0.8906 data_time: 0.2696 memory: 32703 grad_norm: 18.7401 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0158 loss: 1.0158 2022/07/30 16:36:21 - mmengine - INFO - Epoch(train) [41][380/2505] lr: 5.0000e-05 eta: 12:19:20 time: 1.0531 data_time: 0.4340 memory: 32703 grad_norm: 18.9198 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0077 loss: 1.0077 2022/07/30 16:36:38 - mmengine - INFO - Epoch(train) [41][400/2505] lr: 5.0000e-05 eta: 12:18:59 time: 0.8254 data_time: 0.2348 memory: 32703 grad_norm: 17.9549 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0329 loss: 1.0329 2022/07/30 16:36:59 - mmengine - INFO - Epoch(train) [41][420/2505] lr: 5.0000e-05 eta: 12:18:39 time: 1.0300 data_time: 0.4352 memory: 32703 grad_norm: 19.4276 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9974 loss: 0.9974 2022/07/30 16:37:16 - mmengine - INFO - Epoch(train) [41][440/2505] lr: 5.0000e-05 eta: 12:18:19 time: 0.8895 data_time: 0.3069 memory: 32703 grad_norm: 19.1465 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1171 loss: 1.1171 2022/07/30 16:37:38 - mmengine - INFO - Epoch(train) [41][460/2505] lr: 5.0000e-05 eta: 12:17:59 time: 1.0737 data_time: 0.4559 memory: 32703 grad_norm: 17.9171 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9650 loss: 0.9650 2022/07/30 16:37:56 - mmengine - INFO - Epoch(train) [41][480/2505] lr: 5.0000e-05 eta: 12:17:39 time: 0.8856 data_time: 0.2997 memory: 32703 grad_norm: 18.6264 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9343 loss: 0.9343 2022/07/30 16:38:18 - mmengine - INFO - Epoch(train) [41][500/2505] lr: 5.0000e-05 eta: 12:17:20 time: 1.0970 data_time: 0.4894 memory: 32703 grad_norm: 19.3214 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1380 loss: 1.1380 2022/07/30 16:38:36 - mmengine - INFO - Epoch(train) [41][520/2505] lr: 5.0000e-05 eta: 12:16:59 time: 0.9348 data_time: 0.3448 memory: 32703 grad_norm: 19.4359 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1536 loss: 1.1536 2022/07/30 16:38:57 - mmengine - INFO - Epoch(train) [41][540/2505] lr: 5.0000e-05 eta: 12:16:40 time: 1.0279 data_time: 0.4213 memory: 32703 grad_norm: 18.6463 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0002 loss: 1.0002 2022/07/30 16:39:15 - mmengine - INFO - Epoch(train) [41][560/2505] lr: 5.0000e-05 eta: 12:16:19 time: 0.8949 data_time: 0.3035 memory: 32703 grad_norm: 18.8091 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9330 loss: 0.9330 2022/07/30 16:39:36 - mmengine - INFO - Epoch(train) [41][580/2505] lr: 5.0000e-05 eta: 12:16:00 time: 1.0483 data_time: 0.4567 memory: 32703 grad_norm: 18.7384 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9345 loss: 0.9345 2022/07/30 16:39:54 - mmengine - INFO - Epoch(train) [41][600/2505] lr: 5.0000e-05 eta: 12:15:39 time: 0.9361 data_time: 0.3380 memory: 32703 grad_norm: 18.4352 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0090 loss: 1.0090 2022/07/30 16:40:15 - mmengine - INFO - Epoch(train) [41][620/2505] lr: 5.0000e-05 eta: 12:15:20 time: 1.0349 data_time: 0.4250 memory: 32703 grad_norm: 19.2621 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9347 loss: 0.9347 2022/07/30 16:40:33 - mmengine - INFO - Epoch(train) [41][640/2505] lr: 5.0000e-05 eta: 12:15:00 time: 0.9180 data_time: 0.3176 memory: 32703 grad_norm: 19.5406 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1129 loss: 1.1129 2022/07/30 16:40:54 - mmengine - INFO - Epoch(train) [41][660/2505] lr: 5.0000e-05 eta: 12:14:40 time: 1.0192 data_time: 0.4226 memory: 32703 grad_norm: 19.3121 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0248 loss: 1.0248 2022/07/30 16:41:11 - mmengine - INFO - Epoch(train) [41][680/2505] lr: 5.0000e-05 eta: 12:14:19 time: 0.8795 data_time: 0.2772 memory: 32703 grad_norm: 18.3068 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0514 loss: 1.0514 2022/07/30 16:41:32 - mmengine - INFO - Epoch(train) [41][700/2505] lr: 5.0000e-05 eta: 12:14:00 time: 1.0411 data_time: 0.4282 memory: 32703 grad_norm: 18.7330 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0193 loss: 1.0193 2022/07/30 16:41:51 - mmengine - INFO - Epoch(train) [41][720/2505] lr: 5.0000e-05 eta: 12:13:40 time: 0.9589 data_time: 0.2521 memory: 32703 grad_norm: 19.7425 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1663 loss: 1.1663 2022/07/30 16:42:11 - mmengine - INFO - Epoch(train) [41][740/2505] lr: 5.0000e-05 eta: 12:13:20 time: 0.9845 data_time: 0.1815 memory: 32703 grad_norm: 18.7489 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8666 loss: 0.8666 2022/07/30 16:42:32 - mmengine - INFO - Epoch(train) [41][760/2505] lr: 5.0000e-05 eta: 12:13:00 time: 1.0291 data_time: 0.0500 memory: 32703 grad_norm: 18.6607 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9992 loss: 0.9992 2022/07/30 16:42:50 - mmengine - INFO - Epoch(train) [41][780/2505] lr: 5.0000e-05 eta: 12:12:40 time: 0.9084 data_time: 0.1463 memory: 32703 grad_norm: 18.3955 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0684 loss: 1.0684 2022/07/30 16:43:10 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 16:43:10 - mmengine - INFO - Epoch(train) [41][800/2505] lr: 5.0000e-05 eta: 12:12:20 time: 0.9954 data_time: 0.2111 memory: 32703 grad_norm: 19.2528 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9883 loss: 0.9883 2022/07/30 16:43:30 - mmengine - INFO - Epoch(train) [41][820/2505] lr: 5.0000e-05 eta: 12:12:00 time: 1.0119 data_time: 0.2675 memory: 32703 grad_norm: 18.9899 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9379 loss: 0.9379 2022/07/30 16:43:49 - mmengine - INFO - Epoch(train) [41][840/2505] lr: 5.0000e-05 eta: 12:11:40 time: 0.9673 data_time: 0.1712 memory: 32703 grad_norm: 18.4175 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8780 loss: 0.8780 2022/07/30 16:44:10 - mmengine - INFO - Epoch(train) [41][860/2505] lr: 5.0000e-05 eta: 12:11:20 time: 1.0034 data_time: 0.1812 memory: 32703 grad_norm: 18.7609 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8960 loss: 0.8960 2022/07/30 16:44:29 - mmengine - INFO - Epoch(train) [41][880/2505] lr: 5.0000e-05 eta: 12:11:00 time: 0.9714 data_time: 0.1736 memory: 32703 grad_norm: 19.5200 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0591 loss: 1.0591 2022/07/30 16:44:49 - mmengine - INFO - Epoch(train) [41][900/2505] lr: 5.0000e-05 eta: 12:10:41 time: 1.0109 data_time: 0.3591 memory: 32703 grad_norm: 18.9894 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9398 loss: 0.9398 2022/07/30 16:45:07 - mmengine - INFO - Epoch(train) [41][920/2505] lr: 5.0000e-05 eta: 12:10:20 time: 0.9162 data_time: 0.3305 memory: 32703 grad_norm: 18.5436 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1657 loss: 1.1657 2022/07/30 16:45:29 - mmengine - INFO - Epoch(train) [41][940/2505] lr: 5.0000e-05 eta: 12:10:01 time: 1.0506 data_time: 0.4674 memory: 32703 grad_norm: 18.1634 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0197 loss: 1.0197 2022/07/30 16:45:46 - mmengine - INFO - Epoch(train) [41][960/2505] lr: 5.0000e-05 eta: 12:09:40 time: 0.8861 data_time: 0.2705 memory: 32703 grad_norm: 17.9312 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9562 loss: 0.9562 2022/07/30 16:46:08 - mmengine - INFO - Epoch(train) [41][980/2505] lr: 5.0000e-05 eta: 12:09:21 time: 1.0678 data_time: 0.4554 memory: 32703 grad_norm: 18.8030 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0177 loss: 1.0177 2022/07/30 16:46:25 - mmengine - INFO - Epoch(train) [41][1000/2505] lr: 5.0000e-05 eta: 12:09:00 time: 0.8928 data_time: 0.3119 memory: 32703 grad_norm: 19.3055 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9097 loss: 0.9097 2022/07/30 16:46:47 - mmengine - INFO - Epoch(train) [41][1020/2505] lr: 5.0000e-05 eta: 12:08:41 time: 1.0514 data_time: 0.4294 memory: 32703 grad_norm: 19.1240 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9571 loss: 0.9571 2022/07/30 16:47:05 - mmengine - INFO - Epoch(train) [41][1040/2505] lr: 5.0000e-05 eta: 12:08:20 time: 0.9346 data_time: 0.3406 memory: 32703 grad_norm: 18.8124 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0579 loss: 1.0579 2022/07/30 16:47:26 - mmengine - INFO - Epoch(train) [41][1060/2505] lr: 5.0000e-05 eta: 12:08:01 time: 1.0148 data_time: 0.4287 memory: 32703 grad_norm: 18.4236 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1910 loss: 1.1910 2022/07/30 16:47:44 - mmengine - INFO - Epoch(train) [41][1080/2505] lr: 5.0000e-05 eta: 12:07:40 time: 0.9195 data_time: 0.2756 memory: 32703 grad_norm: 18.0152 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9344 loss: 0.9344 2022/07/30 16:48:04 - mmengine - INFO - Epoch(train) [41][1100/2505] lr: 5.0000e-05 eta: 12:07:21 time: 1.0039 data_time: 0.3164 memory: 32703 grad_norm: 19.3929 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9091 loss: 0.9091 2022/07/30 16:48:23 - mmengine - INFO - Epoch(train) [41][1120/2505] lr: 5.0000e-05 eta: 12:07:00 time: 0.9596 data_time: 0.1829 memory: 32703 grad_norm: 18.4487 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9553 loss: 0.9553 2022/07/30 16:48:44 - mmengine - INFO - Epoch(train) [41][1140/2505] lr: 5.0000e-05 eta: 12:06:41 time: 1.0245 data_time: 0.2951 memory: 32703 grad_norm: 19.1607 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0656 loss: 1.0656 2022/07/30 16:49:02 - mmengine - INFO - Epoch(train) [41][1160/2505] lr: 5.0000e-05 eta: 12:06:20 time: 0.9147 data_time: 0.2698 memory: 32703 grad_norm: 18.4671 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8453 loss: 0.8453 2022/07/30 16:49:24 - mmengine - INFO - Epoch(train) [41][1180/2505] lr: 5.0000e-05 eta: 12:06:01 time: 1.0973 data_time: 0.3805 memory: 32703 grad_norm: 18.5888 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9832 loss: 0.9832 2022/07/30 16:49:43 - mmengine - INFO - Epoch(train) [41][1200/2505] lr: 5.0000e-05 eta: 12:05:41 time: 0.9279 data_time: 0.2391 memory: 32703 grad_norm: 19.1384 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8130 loss: 0.8130 2022/07/30 16:50:03 - mmengine - INFO - Epoch(train) [41][1220/2505] lr: 5.0000e-05 eta: 12:05:22 time: 1.0314 data_time: 0.2574 memory: 32703 grad_norm: 18.1654 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0079 loss: 1.0079 2022/07/30 16:50:21 - mmengine - INFO - Epoch(train) [41][1240/2505] lr: 5.0000e-05 eta: 12:05:01 time: 0.9174 data_time: 0.2553 memory: 32703 grad_norm: 18.6002 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1313 loss: 1.1313 2022/07/30 16:50:44 - mmengine - INFO - Epoch(train) [41][1260/2505] lr: 5.0000e-05 eta: 12:04:42 time: 1.1214 data_time: 0.3090 memory: 32703 grad_norm: 18.6409 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.8680 loss: 0.8680 2022/07/30 16:51:02 - mmengine - INFO - Epoch(train) [41][1280/2505] lr: 5.0000e-05 eta: 12:04:22 time: 0.9216 data_time: 0.1703 memory: 32703 grad_norm: 18.4497 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9019 loss: 0.9019 2022/07/30 16:51:23 - mmengine - INFO - Epoch(train) [41][1300/2505] lr: 5.0000e-05 eta: 12:04:02 time: 1.0389 data_time: 0.2348 memory: 32703 grad_norm: 18.6662 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0343 loss: 1.0343 2022/07/30 16:51:42 - mmengine - INFO - Epoch(train) [41][1320/2505] lr: 5.0000e-05 eta: 12:03:42 time: 0.9626 data_time: 0.1485 memory: 32703 grad_norm: 19.1179 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1886 loss: 1.1886 2022/07/30 16:52:02 - mmengine - INFO - Epoch(train) [41][1340/2505] lr: 5.0000e-05 eta: 12:03:23 time: 1.0029 data_time: 0.0317 memory: 32703 grad_norm: 18.5618 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1602 loss: 1.1602 2022/07/30 16:52:20 - mmengine - INFO - Epoch(train) [41][1360/2505] lr: 5.0000e-05 eta: 12:03:02 time: 0.8769 data_time: 0.0266 memory: 32703 grad_norm: 18.3628 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2791 loss: 1.2791 2022/07/30 16:52:42 - mmengine - INFO - Epoch(train) [41][1380/2505] lr: 5.0000e-05 eta: 12:02:43 time: 1.0916 data_time: 0.0288 memory: 32703 grad_norm: 18.0670 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8173 loss: 0.8173 2022/07/30 16:53:00 - mmengine - INFO - Epoch(train) [41][1400/2505] lr: 5.0000e-05 eta: 12:02:22 time: 0.9106 data_time: 0.0293 memory: 32703 grad_norm: 19.8873 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0459 loss: 1.0459 2022/07/30 16:53:20 - mmengine - INFO - Epoch(train) [41][1420/2505] lr: 5.0000e-05 eta: 12:02:03 time: 1.0182 data_time: 0.0354 memory: 32703 grad_norm: 19.1006 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9416 loss: 0.9416 2022/07/30 16:53:38 - mmengine - INFO - Epoch(train) [41][1440/2505] lr: 5.0000e-05 eta: 12:01:42 time: 0.9009 data_time: 0.0269 memory: 32703 grad_norm: 18.2434 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1344 loss: 1.1344 2022/07/30 16:54:00 - mmengine - INFO - Epoch(train) [41][1460/2505] lr: 5.0000e-05 eta: 12:01:23 time: 1.0627 data_time: 0.0335 memory: 32703 grad_norm: 18.2553 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0523 loss: 1.0523 2022/07/30 16:54:18 - mmengine - INFO - Epoch(train) [41][1480/2505] lr: 5.0000e-05 eta: 12:01:02 time: 0.8985 data_time: 0.0305 memory: 32703 grad_norm: 21.0901 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1352 loss: 1.1352 2022/07/30 16:54:39 - mmengine - INFO - Epoch(train) [41][1500/2505] lr: 5.0000e-05 eta: 12:00:43 time: 1.0457 data_time: 0.0658 memory: 32703 grad_norm: 18.3667 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1633 loss: 1.1633 2022/07/30 16:54:57 - mmengine - INFO - Epoch(train) [41][1520/2505] lr: 5.0000e-05 eta: 12:00:22 time: 0.8965 data_time: 0.0853 memory: 32703 grad_norm: 18.0481 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9619 loss: 0.9619 2022/07/30 16:55:19 - mmengine - INFO - Epoch(train) [41][1540/2505] lr: 5.0000e-05 eta: 12:00:03 time: 1.1018 data_time: 0.1185 memory: 32703 grad_norm: 18.7399 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8742 loss: 0.8742 2022/07/30 16:55:37 - mmengine - INFO - Epoch(train) [41][1560/2505] lr: 5.0000e-05 eta: 11:59:43 time: 0.9008 data_time: 0.0887 memory: 32703 grad_norm: 18.4316 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3269 loss: 1.3269 2022/07/30 16:55:58 - mmengine - INFO - Epoch(train) [41][1580/2505] lr: 5.0000e-05 eta: 11:59:23 time: 1.0511 data_time: 0.2297 memory: 32703 grad_norm: 19.3025 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1039 loss: 1.1039 2022/07/30 16:56:16 - mmengine - INFO - Epoch(train) [41][1600/2505] lr: 5.0000e-05 eta: 11:59:03 time: 0.9232 data_time: 0.2893 memory: 32703 grad_norm: 19.5567 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1117 loss: 1.1117 2022/07/30 16:56:36 - mmengine - INFO - Epoch(train) [41][1620/2505] lr: 5.0000e-05 eta: 11:58:43 time: 0.9896 data_time: 0.3877 memory: 32703 grad_norm: 19.1985 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7955 loss: 0.7955 2022/07/30 16:56:55 - mmengine - INFO - Epoch(train) [41][1640/2505] lr: 5.0000e-05 eta: 11:58:23 time: 0.9382 data_time: 0.3303 memory: 32703 grad_norm: 18.5075 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.0857 loss: 1.0857 2022/07/30 16:57:15 - mmengine - INFO - Epoch(train) [41][1660/2505] lr: 5.0000e-05 eta: 11:58:03 time: 1.0049 data_time: 0.3821 memory: 32703 grad_norm: 17.9898 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8639 loss: 0.8639 2022/07/30 16:57:33 - mmengine - INFO - Epoch(train) [41][1680/2505] lr: 5.0000e-05 eta: 11:57:42 time: 0.9181 data_time: 0.3007 memory: 32703 grad_norm: 18.0788 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0860 loss: 1.0860 2022/07/30 16:57:54 - mmengine - INFO - Epoch(train) [41][1700/2505] lr: 5.0000e-05 eta: 11:57:23 time: 1.0427 data_time: 0.4542 memory: 32703 grad_norm: 19.3718 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2833 loss: 1.2833 2022/07/30 16:58:12 - mmengine - INFO - Epoch(train) [41][1720/2505] lr: 5.0000e-05 eta: 11:57:02 time: 0.8934 data_time: 0.2727 memory: 32703 grad_norm: 18.5713 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 0.8504 loss: 0.8504 2022/07/30 16:58:33 - mmengine - INFO - Epoch(train) [41][1740/2505] lr: 5.0000e-05 eta: 11:56:43 time: 1.0450 data_time: 0.4400 memory: 32703 grad_norm: 19.0513 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1412 loss: 1.1412 2022/07/30 16:58:52 - mmengine - INFO - Epoch(train) [41][1760/2505] lr: 5.0000e-05 eta: 11:56:23 time: 0.9371 data_time: 0.2687 memory: 32703 grad_norm: 18.1662 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9850 loss: 0.9850 2022/07/30 16:59:12 - mmengine - INFO - Epoch(train) [41][1780/2505] lr: 5.0000e-05 eta: 11:56:03 time: 1.0086 data_time: 0.3179 memory: 32703 grad_norm: 18.6762 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0848 loss: 1.0848 2022/07/30 16:59:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 16:59:31 - mmengine - INFO - Epoch(train) [41][1800/2505] lr: 5.0000e-05 eta: 11:55:43 time: 0.9402 data_time: 0.2479 memory: 32703 grad_norm: 17.8796 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8498 loss: 0.8498 2022/07/30 16:59:51 - mmengine - INFO - Epoch(train) [41][1820/2505] lr: 5.0000e-05 eta: 11:55:23 time: 1.0043 data_time: 0.3703 memory: 32703 grad_norm: 18.7673 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9154 loss: 0.9154 2022/07/30 17:00:10 - mmengine - INFO - Epoch(train) [41][1840/2505] lr: 5.0000e-05 eta: 11:55:03 time: 0.9425 data_time: 0.2890 memory: 32703 grad_norm: 19.1310 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0570 loss: 1.0570 2022/07/30 17:00:31 - mmengine - INFO - Epoch(train) [41][1860/2505] lr: 5.0000e-05 eta: 11:54:43 time: 1.0628 data_time: 0.4414 memory: 32703 grad_norm: 18.6366 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0830 loss: 1.0830 2022/07/30 17:00:48 - mmengine - INFO - Epoch(train) [41][1880/2505] lr: 5.0000e-05 eta: 11:54:23 time: 0.8832 data_time: 0.2627 memory: 32703 grad_norm: 19.4500 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9869 loss: 0.9869 2022/07/30 17:01:10 - mmengine - INFO - Epoch(train) [41][1900/2505] lr: 5.0000e-05 eta: 11:54:03 time: 1.0539 data_time: 0.4421 memory: 32703 grad_norm: 19.3083 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9557 loss: 0.9557 2022/07/30 17:01:28 - mmengine - INFO - Epoch(train) [41][1920/2505] lr: 5.0000e-05 eta: 11:53:43 time: 0.8988 data_time: 0.2973 memory: 32703 grad_norm: 18.8131 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1686 loss: 1.1686 2022/07/30 17:01:48 - mmengine - INFO - Epoch(train) [41][1940/2505] lr: 5.0000e-05 eta: 11:53:23 time: 1.0149 data_time: 0.3508 memory: 32703 grad_norm: 19.0411 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0431 loss: 1.0431 2022/07/30 17:02:07 - mmengine - INFO - Epoch(train) [41][1960/2505] lr: 5.0000e-05 eta: 11:53:03 time: 0.9691 data_time: 0.1144 memory: 32703 grad_norm: 17.8410 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9051 loss: 0.9051 2022/07/30 17:02:26 - mmengine - INFO - Epoch(train) [41][1980/2505] lr: 5.0000e-05 eta: 11:52:43 time: 0.9571 data_time: 0.1304 memory: 32703 grad_norm: 18.6422 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9655 loss: 0.9655 2022/07/30 17:02:46 - mmengine - INFO - Epoch(train) [41][2000/2505] lr: 5.0000e-05 eta: 11:52:23 time: 0.9963 data_time: 0.0686 memory: 32703 grad_norm: 18.4341 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0414 loss: 1.0414 2022/07/30 17:03:06 - mmengine - INFO - Epoch(train) [41][2020/2505] lr: 5.0000e-05 eta: 11:52:03 time: 0.9654 data_time: 0.0669 memory: 32703 grad_norm: 19.1259 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0526 loss: 1.0526 2022/07/30 17:03:27 - mmengine - INFO - Epoch(train) [41][2040/2505] lr: 5.0000e-05 eta: 11:51:44 time: 1.0490 data_time: 0.0273 memory: 32703 grad_norm: 18.4059 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8725 loss: 0.8725 2022/07/30 17:03:46 - mmengine - INFO - Epoch(train) [41][2060/2505] lr: 5.0000e-05 eta: 11:51:24 time: 0.9643 data_time: 0.0274 memory: 32703 grad_norm: 17.7683 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2251 loss: 1.2251 2022/07/30 17:04:07 - mmengine - INFO - Epoch(train) [41][2080/2505] lr: 5.0000e-05 eta: 11:51:04 time: 1.0665 data_time: 0.0279 memory: 32703 grad_norm: 18.2921 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9810 loss: 0.9810 2022/07/30 17:04:25 - mmengine - INFO - Epoch(train) [41][2100/2505] lr: 5.0000e-05 eta: 11:50:44 time: 0.9077 data_time: 0.0299 memory: 32703 grad_norm: 18.5433 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8075 loss: 0.8075 2022/07/30 17:04:46 - mmengine - INFO - Epoch(train) [41][2120/2505] lr: 5.0000e-05 eta: 11:50:24 time: 1.0347 data_time: 0.0300 memory: 32703 grad_norm: 19.0816 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2091 loss: 1.2091 2022/07/30 17:05:05 - mmengine - INFO - Epoch(train) [41][2140/2505] lr: 5.0000e-05 eta: 11:50:04 time: 0.9624 data_time: 0.0351 memory: 32703 grad_norm: 18.6520 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0049 loss: 1.0049 2022/07/30 17:05:26 - mmengine - INFO - Epoch(train) [41][2160/2505] lr: 5.0000e-05 eta: 11:49:45 time: 1.0057 data_time: 0.0293 memory: 32703 grad_norm: 19.2086 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8754 loss: 0.8754 2022/07/30 17:05:45 - mmengine - INFO - Epoch(train) [41][2180/2505] lr: 5.0000e-05 eta: 11:49:24 time: 0.9548 data_time: 0.0371 memory: 32703 grad_norm: 19.0088 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9393 loss: 0.9393 2022/07/30 17:06:04 - mmengine - INFO - Epoch(train) [41][2200/2505] lr: 5.0000e-05 eta: 11:49:04 time: 0.9521 data_time: 0.0287 memory: 32703 grad_norm: 18.9931 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.1663 loss: 1.1663 2022/07/30 17:06:24 - mmengine - INFO - Epoch(train) [41][2220/2505] lr: 5.0000e-05 eta: 11:48:45 time: 1.0281 data_time: 0.0373 memory: 32703 grad_norm: 18.3625 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0743 loss: 1.0743 2022/07/30 17:06:44 - mmengine - INFO - Epoch(train) [41][2240/2505] lr: 5.0000e-05 eta: 11:48:25 time: 0.9720 data_time: 0.0321 memory: 32703 grad_norm: 18.6173 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0534 loss: 1.0534 2022/07/30 17:07:04 - mmengine - INFO - Epoch(train) [41][2260/2505] lr: 5.0000e-05 eta: 11:48:05 time: 0.9896 data_time: 0.0351 memory: 32703 grad_norm: 19.6295 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1181 loss: 1.1181 2022/07/30 17:07:24 - mmengine - INFO - Epoch(train) [41][2280/2505] lr: 5.0000e-05 eta: 11:47:45 time: 1.0026 data_time: 0.0315 memory: 32703 grad_norm: 18.1178 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9379 loss: 0.9379 2022/07/30 17:07:42 - mmengine - INFO - Epoch(train) [41][2300/2505] lr: 5.0000e-05 eta: 11:47:24 time: 0.9003 data_time: 0.0323 memory: 32703 grad_norm: 18.8315 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9966 loss: 0.9966 2022/07/30 17:08:01 - mmengine - INFO - Epoch(train) [41][2320/2505] lr: 5.0000e-05 eta: 11:47:05 time: 0.9931 data_time: 0.0314 memory: 32703 grad_norm: 18.7179 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0681 loss: 1.0681 2022/07/30 17:08:21 - mmengine - INFO - Epoch(train) [41][2340/2505] lr: 5.0000e-05 eta: 11:46:45 time: 0.9577 data_time: 0.0334 memory: 32703 grad_norm: 18.7306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0480 loss: 1.0480 2022/07/30 17:08:41 - mmengine - INFO - Epoch(train) [41][2360/2505] lr: 5.0000e-05 eta: 11:46:25 time: 1.0139 data_time: 0.0294 memory: 32703 grad_norm: 18.2768 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8344 loss: 0.8344 2022/07/30 17:09:00 - mmengine - INFO - Epoch(train) [41][2380/2505] lr: 5.0000e-05 eta: 11:46:05 time: 0.9430 data_time: 0.0268 memory: 32703 grad_norm: 17.9726 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0189 loss: 1.0189 2022/07/30 17:09:19 - mmengine - INFO - Epoch(train) [41][2400/2505] lr: 5.0000e-05 eta: 11:45:45 time: 0.9754 data_time: 0.0282 memory: 32703 grad_norm: 18.7559 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0627 loss: 1.0627 2022/07/30 17:09:38 - mmengine - INFO - Epoch(train) [41][2420/2505] lr: 5.0000e-05 eta: 11:45:24 time: 0.9281 data_time: 0.0300 memory: 32703 grad_norm: 19.5310 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8778 loss: 0.8778 2022/07/30 17:09:58 - mmengine - INFO - Epoch(train) [41][2440/2505] lr: 5.0000e-05 eta: 11:45:05 time: 1.0087 data_time: 0.0294 memory: 32703 grad_norm: 17.9381 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8396 loss: 0.8396 2022/07/30 17:10:18 - mmengine - INFO - Epoch(train) [41][2460/2505] lr: 5.0000e-05 eta: 11:44:45 time: 0.9780 data_time: 0.0284 memory: 32703 grad_norm: 18.7471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9099 loss: 0.9099 2022/07/30 17:10:37 - mmengine - INFO - Epoch(train) [41][2480/2505] lr: 5.0000e-05 eta: 11:44:25 time: 0.9934 data_time: 0.0289 memory: 32703 grad_norm: 18.5711 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1509 loss: 1.1509 2022/07/30 17:10:55 - mmengine - INFO - Epoch(train) [41][2500/2505] lr: 5.0000e-05 eta: 11:44:04 time: 0.8659 data_time: 0.0291 memory: 32703 grad_norm: 19.4865 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.2261 loss: 1.2261 2022/07/30 17:10:57 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 17:10:57 - mmengine - INFO - Epoch(train) [41][2505/2505] lr: 5.0000e-05 eta: 11:44:04 time: 0.7809 data_time: 0.0203 memory: 32703 grad_norm: 19.0665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2436 loss: 1.2436 2022/07/30 17:11:23 - mmengine - INFO - Epoch(train) [42][20/2505] lr: 5.0000e-05 eta: 11:43:40 time: 1.2904 data_time: 0.6596 memory: 32703 grad_norm: 18.6560 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/07/30 17:11:42 - mmengine - INFO - Epoch(train) [42][40/2505] lr: 5.0000e-05 eta: 11:43:19 time: 0.9104 data_time: 0.3009 memory: 32703 grad_norm: 19.6520 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1321 loss: 1.1321 2022/07/30 17:12:04 - mmengine - INFO - Epoch(train) [42][60/2505] lr: 5.0000e-05 eta: 11:43:00 time: 1.1167 data_time: 0.2736 memory: 32703 grad_norm: 18.9874 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0868 loss: 1.0868 2022/07/30 17:12:23 - mmengine - INFO - Epoch(train) [42][80/2505] lr: 5.0000e-05 eta: 11:42:40 time: 0.9510 data_time: 0.0586 memory: 32703 grad_norm: 18.5854 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0191 loss: 1.0191 2022/07/30 17:12:43 - mmengine - INFO - Epoch(train) [42][100/2505] lr: 5.0000e-05 eta: 11:42:20 time: 0.9985 data_time: 0.2189 memory: 32703 grad_norm: 18.3477 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9799 loss: 0.9799 2022/07/30 17:13:02 - mmengine - INFO - Epoch(train) [42][120/2505] lr: 5.0000e-05 eta: 11:42:00 time: 0.9450 data_time: 0.2276 memory: 32703 grad_norm: 19.6942 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1024 loss: 1.1024 2022/07/30 17:13:23 - mmengine - INFO - Epoch(train) [42][140/2505] lr: 5.0000e-05 eta: 11:41:41 time: 1.0361 data_time: 0.3684 memory: 32703 grad_norm: 18.0521 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9957 loss: 0.9957 2022/07/30 17:13:41 - mmengine - INFO - Epoch(train) [42][160/2505] lr: 5.0000e-05 eta: 11:41:20 time: 0.9138 data_time: 0.1781 memory: 32703 grad_norm: 18.2491 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9369 loss: 0.9369 2022/07/30 17:14:03 - mmengine - INFO - Epoch(train) [42][180/2505] lr: 5.0000e-05 eta: 11:41:01 time: 1.0983 data_time: 0.3108 memory: 32703 grad_norm: 19.1584 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1065 loss: 1.1065 2022/07/30 17:14:21 - mmengine - INFO - Epoch(train) [42][200/2505] lr: 5.0000e-05 eta: 11:40:41 time: 0.9086 data_time: 0.1346 memory: 32703 grad_norm: 18.8791 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2875 loss: 1.2875 2022/07/30 17:14:41 - mmengine - INFO - Epoch(train) [42][220/2505] lr: 5.0000e-05 eta: 11:40:21 time: 1.0067 data_time: 0.1965 memory: 32703 grad_norm: 18.7721 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9579 loss: 0.9579 2022/07/30 17:15:00 - mmengine - INFO - Epoch(train) [42][240/2505] lr: 5.0000e-05 eta: 11:40:01 time: 0.9376 data_time: 0.2289 memory: 32703 grad_norm: 18.9386 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0597 loss: 1.0597 2022/07/30 17:15:22 - mmengine - INFO - Epoch(train) [42][260/2505] lr: 5.0000e-05 eta: 11:39:42 time: 1.1015 data_time: 0.2916 memory: 32703 grad_norm: 18.8074 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0649 loss: 1.0649 2022/07/30 17:15:39 - mmengine - INFO - Epoch(train) [42][280/2505] lr: 5.0000e-05 eta: 11:39:21 time: 0.8786 data_time: 0.1124 memory: 32703 grad_norm: 19.0174 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9737 loss: 0.9737 2022/07/30 17:15:55 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 17:16:01 - mmengine - INFO - Epoch(train) [42][300/2505] lr: 5.0000e-05 eta: 11:39:02 time: 1.0662 data_time: 0.1257 memory: 32703 grad_norm: 18.7409 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9510 loss: 0.9510 2022/07/30 17:16:19 - mmengine - INFO - Epoch(train) [42][320/2505] lr: 5.0000e-05 eta: 11:38:41 time: 0.9204 data_time: 0.1397 memory: 32703 grad_norm: 18.8374 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0458 loss: 1.0458 2022/07/30 17:16:40 - mmengine - INFO - Epoch(train) [42][340/2505] lr: 5.0000e-05 eta: 11:38:22 time: 1.0214 data_time: 0.2970 memory: 32703 grad_norm: 18.0544 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1163 loss: 1.1163 2022/07/30 17:16:59 - mmengine - INFO - Epoch(train) [42][360/2505] lr: 5.0000e-05 eta: 11:38:02 time: 0.9642 data_time: 0.3826 memory: 32703 grad_norm: 18.8387 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1051 loss: 1.1051 2022/07/30 17:17:19 - mmengine - INFO - Epoch(train) [42][380/2505] lr: 5.0000e-05 eta: 11:37:42 time: 1.0204 data_time: 0.4060 memory: 32703 grad_norm: 18.9201 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0036 loss: 1.0036 2022/07/30 17:17:38 - mmengine - INFO - Epoch(train) [42][400/2505] lr: 5.0000e-05 eta: 11:37:22 time: 0.9363 data_time: 0.3526 memory: 32703 grad_norm: 17.9733 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8889 loss: 0.8889 2022/07/30 17:18:00 - mmengine - INFO - Epoch(train) [42][420/2505] lr: 5.0000e-05 eta: 11:37:03 time: 1.0895 data_time: 0.4689 memory: 32703 grad_norm: 17.6176 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0001 loss: 1.0001 2022/07/30 17:18:18 - mmengine - INFO - Epoch(train) [42][440/2505] lr: 5.0000e-05 eta: 11:36:42 time: 0.8940 data_time: 0.2769 memory: 32703 grad_norm: 18.5542 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9288 loss: 0.9288 2022/07/30 17:18:39 - mmengine - INFO - Epoch(train) [42][460/2505] lr: 5.0000e-05 eta: 11:36:23 time: 1.0773 data_time: 0.4503 memory: 32703 grad_norm: 18.7058 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8541 loss: 0.8541 2022/07/30 17:18:58 - mmengine - INFO - Epoch(train) [42][480/2505] lr: 5.0000e-05 eta: 11:36:02 time: 0.9214 data_time: 0.3116 memory: 32703 grad_norm: 19.6039 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0386 loss: 1.0386 2022/07/30 17:19:18 - mmengine - INFO - Epoch(train) [42][500/2505] lr: 5.0000e-05 eta: 11:35:43 time: 0.9956 data_time: 0.3976 memory: 32703 grad_norm: 19.6742 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9868 loss: 0.9868 2022/07/30 17:19:36 - mmengine - INFO - Epoch(train) [42][520/2505] lr: 5.0000e-05 eta: 11:35:22 time: 0.9026 data_time: 0.3130 memory: 32703 grad_norm: 19.4908 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8231 loss: 0.8231 2022/07/30 17:19:57 - mmengine - INFO - Epoch(train) [42][540/2505] lr: 5.0000e-05 eta: 11:35:03 time: 1.0650 data_time: 0.4707 memory: 32703 grad_norm: 18.7143 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1688 loss: 1.1688 2022/07/30 17:20:16 - mmengine - INFO - Epoch(train) [42][560/2505] lr: 5.0000e-05 eta: 11:34:43 time: 0.9452 data_time: 0.3359 memory: 32703 grad_norm: 19.2601 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0310 loss: 1.0310 2022/07/30 17:20:36 - mmengine - INFO - Epoch(train) [42][580/2505] lr: 5.0000e-05 eta: 11:34:23 time: 1.0224 data_time: 0.4178 memory: 32703 grad_norm: 18.6153 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0409 loss: 1.0409 2022/07/30 17:20:55 - mmengine - INFO - Epoch(train) [42][600/2505] lr: 5.0000e-05 eta: 11:34:03 time: 0.9083 data_time: 0.2997 memory: 32703 grad_norm: 18.3795 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0530 loss: 1.0530 2022/07/30 17:21:16 - mmengine - INFO - Epoch(train) [42][620/2505] lr: 5.0000e-05 eta: 11:33:43 time: 1.0664 data_time: 0.4299 memory: 32703 grad_norm: 18.9520 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8213 loss: 0.8213 2022/07/30 17:21:34 - mmengine - INFO - Epoch(train) [42][640/2505] lr: 5.0000e-05 eta: 11:33:23 time: 0.8929 data_time: 0.2909 memory: 32703 grad_norm: 19.5332 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9494 loss: 0.9494 2022/07/30 17:21:55 - mmengine - INFO - Epoch(train) [42][660/2505] lr: 5.0000e-05 eta: 11:33:04 time: 1.0795 data_time: 0.4626 memory: 32703 grad_norm: 18.9977 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9704 loss: 0.9704 2022/07/30 17:22:14 - mmengine - INFO - Epoch(train) [42][680/2505] lr: 5.0000e-05 eta: 11:32:43 time: 0.9216 data_time: 0.2932 memory: 32703 grad_norm: 17.9924 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8486 loss: 0.8486 2022/07/30 17:22:35 - mmengine - INFO - Epoch(train) [42][700/2505] lr: 5.0000e-05 eta: 11:32:24 time: 1.0619 data_time: 0.4501 memory: 32703 grad_norm: 18.8577 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9856 loss: 0.9856 2022/07/30 17:22:51 - mmengine - INFO - Epoch(train) [42][720/2505] lr: 5.0000e-05 eta: 11:32:03 time: 0.8157 data_time: 0.2313 memory: 32703 grad_norm: 18.0736 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8605 loss: 0.8605 2022/07/30 17:23:12 - mmengine - INFO - Epoch(train) [42][740/2505] lr: 5.0000e-05 eta: 11:31:43 time: 1.0120 data_time: 0.4077 memory: 32703 grad_norm: 18.8464 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8801 loss: 0.8801 2022/07/30 17:23:30 - mmengine - INFO - Epoch(train) [42][760/2505] lr: 5.0000e-05 eta: 11:31:22 time: 0.8958 data_time: 0.2915 memory: 32703 grad_norm: 18.0019 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9163 loss: 0.9163 2022/07/30 17:23:51 - mmengine - INFO - Epoch(train) [42][780/2505] lr: 5.0000e-05 eta: 11:31:03 time: 1.0589 data_time: 0.4565 memory: 32703 grad_norm: 18.7430 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2262 loss: 1.2262 2022/07/30 17:24:09 - mmengine - INFO - Epoch(train) [42][800/2505] lr: 5.0000e-05 eta: 11:30:43 time: 0.9255 data_time: 0.3176 memory: 32703 grad_norm: 18.8603 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9634 loss: 0.9634 2022/07/30 17:24:30 - mmengine - INFO - Epoch(train) [42][820/2505] lr: 5.0000e-05 eta: 11:30:23 time: 1.0348 data_time: 0.3569 memory: 32703 grad_norm: 18.7366 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 0.9313 loss: 0.9313 2022/07/30 17:24:48 - mmengine - INFO - Epoch(train) [42][840/2505] lr: 5.0000e-05 eta: 11:30:03 time: 0.9089 data_time: 0.2094 memory: 32703 grad_norm: 19.0274 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9694 loss: 0.9694 2022/07/30 17:25:10 - mmengine - INFO - Epoch(train) [42][860/2505] lr: 5.0000e-05 eta: 11:29:43 time: 1.0678 data_time: 0.3760 memory: 32703 grad_norm: 18.8820 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9472 loss: 0.9472 2022/07/30 17:25:27 - mmengine - INFO - Epoch(train) [42][880/2505] lr: 5.0000e-05 eta: 11:29:23 time: 0.8899 data_time: 0.2973 memory: 32703 grad_norm: 17.9355 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8635 loss: 0.8635 2022/07/30 17:25:48 - mmengine - INFO - Epoch(train) [42][900/2505] lr: 5.0000e-05 eta: 11:29:03 time: 1.0527 data_time: 0.4351 memory: 32703 grad_norm: 18.3430 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0792 loss: 1.0792 2022/07/30 17:26:07 - mmengine - INFO - Epoch(train) [42][920/2505] lr: 5.0000e-05 eta: 11:28:43 time: 0.9022 data_time: 0.3132 memory: 32703 grad_norm: 18.8065 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0994 loss: 1.0994 2022/07/30 17:26:28 - mmengine - INFO - Epoch(train) [42][940/2505] lr: 5.0000e-05 eta: 11:28:24 time: 1.0571 data_time: 0.3856 memory: 32703 grad_norm: 18.7714 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1296 loss: 1.1296 2022/07/30 17:26:46 - mmengine - INFO - Epoch(train) [42][960/2505] lr: 5.0000e-05 eta: 11:28:03 time: 0.9210 data_time: 0.3173 memory: 32703 grad_norm: 19.0226 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1340 loss: 1.1340 2022/07/30 17:27:07 - mmengine - INFO - Epoch(train) [42][980/2505] lr: 5.0000e-05 eta: 11:27:44 time: 1.0624 data_time: 0.4530 memory: 32703 grad_norm: 18.3480 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2507 loss: 1.2507 2022/07/30 17:27:26 - mmengine - INFO - Epoch(train) [42][1000/2505] lr: 5.0000e-05 eta: 11:27:23 time: 0.9115 data_time: 0.3010 memory: 32703 grad_norm: 19.1106 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1046 loss: 1.1046 2022/07/30 17:27:47 - mmengine - INFO - Epoch(train) [42][1020/2505] lr: 5.0000e-05 eta: 11:27:04 time: 1.0498 data_time: 0.4401 memory: 32703 grad_norm: 18.8584 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1652 loss: 1.1652 2022/07/30 17:28:05 - mmengine - INFO - Epoch(train) [42][1040/2505] lr: 5.0000e-05 eta: 11:26:44 time: 0.9161 data_time: 0.3193 memory: 32703 grad_norm: 17.9299 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8994 loss: 0.8994 2022/07/30 17:28:25 - mmengine - INFO - Epoch(train) [42][1060/2505] lr: 5.0000e-05 eta: 11:26:24 time: 1.0113 data_time: 0.4301 memory: 32703 grad_norm: 18.9318 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.2324 loss: 1.2324 2022/07/30 17:28:43 - mmengine - INFO - Epoch(train) [42][1080/2505] lr: 5.0000e-05 eta: 11:26:03 time: 0.8777 data_time: 0.2942 memory: 32703 grad_norm: 18.0584 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0941 loss: 1.0941 2022/07/30 17:29:04 - mmengine - INFO - Epoch(train) [42][1100/2505] lr: 5.0000e-05 eta: 11:25:44 time: 1.0429 data_time: 0.4195 memory: 32703 grad_norm: 19.0180 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0825 loss: 1.0825 2022/07/30 17:29:22 - mmengine - INFO - Epoch(train) [42][1120/2505] lr: 5.0000e-05 eta: 11:25:23 time: 0.9391 data_time: 0.3023 memory: 32703 grad_norm: 18.5191 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9694 loss: 0.9694 2022/07/30 17:29:43 - mmengine - INFO - Epoch(train) [42][1140/2505] lr: 5.0000e-05 eta: 11:25:04 time: 1.0176 data_time: 0.3327 memory: 32703 grad_norm: 17.9179 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9129 loss: 0.9129 2022/07/30 17:30:01 - mmengine - INFO - Epoch(train) [42][1160/2505] lr: 5.0000e-05 eta: 11:24:43 time: 0.9270 data_time: 0.1711 memory: 32703 grad_norm: 18.1814 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0141 loss: 1.0141 2022/07/30 17:30:22 - mmengine - INFO - Epoch(train) [42][1180/2505] lr: 5.0000e-05 eta: 11:24:24 time: 1.0512 data_time: 0.3123 memory: 32703 grad_norm: 18.1867 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9257 loss: 0.9257 2022/07/30 17:30:41 - mmengine - INFO - Epoch(train) [42][1200/2505] lr: 5.0000e-05 eta: 11:24:04 time: 0.9290 data_time: 0.1638 memory: 32703 grad_norm: 19.0241 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8004 loss: 0.8004 2022/07/30 17:31:03 - mmengine - INFO - Epoch(train) [42][1220/2505] lr: 5.0000e-05 eta: 11:23:45 time: 1.1173 data_time: 0.4634 memory: 32703 grad_norm: 18.3595 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0431 loss: 1.0431 2022/07/30 17:31:20 - mmengine - INFO - Epoch(train) [42][1240/2505] lr: 5.0000e-05 eta: 11:23:24 time: 0.8587 data_time: 0.1474 memory: 32703 grad_norm: 18.4804 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1923 loss: 1.1923 2022/07/30 17:31:41 - mmengine - INFO - Epoch(train) [42][1260/2505] lr: 5.0000e-05 eta: 11:23:05 time: 1.0394 data_time: 0.1326 memory: 32703 grad_norm: 18.7370 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1924 loss: 1.1924 2022/07/30 17:32:00 - mmengine - INFO - Epoch(train) [42][1280/2505] lr: 5.0000e-05 eta: 11:22:44 time: 0.9282 data_time: 0.1014 memory: 32703 grad_norm: 18.3394 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9821 loss: 0.9821 2022/07/30 17:32:15 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 17:32:21 - mmengine - INFO - Epoch(train) [42][1300/2505] lr: 5.0000e-05 eta: 11:22:25 time: 1.0543 data_time: 0.2704 memory: 32703 grad_norm: 19.2171 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8740 loss: 0.8740 2022/07/30 17:32:40 - mmengine - INFO - Epoch(train) [42][1320/2505] lr: 5.0000e-05 eta: 11:22:05 time: 0.9754 data_time: 0.1595 memory: 32703 grad_norm: 18.4179 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0442 loss: 1.0442 2022/07/30 17:33:00 - mmengine - INFO - Epoch(train) [42][1340/2505] lr: 5.0000e-05 eta: 11:21:45 time: 0.9581 data_time: 0.1591 memory: 32703 grad_norm: 18.8872 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0604 loss: 1.0604 2022/07/30 17:33:21 - mmengine - INFO - Epoch(train) [42][1360/2505] lr: 5.0000e-05 eta: 11:21:25 time: 1.0555 data_time: 0.0798 memory: 32703 grad_norm: 18.5983 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.0872 loss: 1.0872 2022/07/30 17:33:40 - mmengine - INFO - Epoch(train) [42][1380/2505] lr: 5.0000e-05 eta: 11:21:05 time: 0.9484 data_time: 0.0867 memory: 32703 grad_norm: 18.1440 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8839 loss: 0.8839 2022/07/30 17:33:59 - mmengine - INFO - Epoch(train) [42][1400/2505] lr: 5.0000e-05 eta: 11:20:45 time: 0.9764 data_time: 0.1585 memory: 32703 grad_norm: 18.4276 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9932 loss: 0.9932 2022/07/30 17:34:20 - mmengine - INFO - Epoch(train) [42][1420/2505] lr: 5.0000e-05 eta: 11:20:26 time: 1.0508 data_time: 0.3481 memory: 32703 grad_norm: 17.8582 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0006 loss: 1.0006 2022/07/30 17:34:39 - mmengine - INFO - Epoch(train) [42][1440/2505] lr: 5.0000e-05 eta: 11:20:06 time: 0.9455 data_time: 0.3295 memory: 32703 grad_norm: 18.3699 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8822 loss: 0.8822 2022/07/30 17:34:58 - mmengine - INFO - Epoch(train) [42][1460/2505] lr: 5.0000e-05 eta: 11:19:46 time: 0.9681 data_time: 0.3680 memory: 32703 grad_norm: 17.9064 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1882 loss: 1.1882 2022/07/30 17:35:18 - mmengine - INFO - Epoch(train) [42][1480/2505] lr: 5.0000e-05 eta: 11:19:26 time: 0.9875 data_time: 0.3484 memory: 32703 grad_norm: 18.2953 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0455 loss: 1.0455 2022/07/30 17:35:39 - mmengine - INFO - Epoch(train) [42][1500/2505] lr: 5.0000e-05 eta: 11:19:06 time: 1.0172 data_time: 0.4107 memory: 32703 grad_norm: 19.0668 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9426 loss: 0.9426 2022/07/30 17:35:57 - mmengine - INFO - Epoch(train) [42][1520/2505] lr: 5.0000e-05 eta: 11:18:46 time: 0.9304 data_time: 0.3082 memory: 32703 grad_norm: 18.9880 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1625 loss: 1.1625 2022/07/30 17:36:18 - mmengine - INFO - Epoch(train) [42][1540/2505] lr: 5.0000e-05 eta: 11:18:27 time: 1.0465 data_time: 0.4302 memory: 32703 grad_norm: 19.1319 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1330 loss: 1.1330 2022/07/30 17:36:36 - mmengine - INFO - Epoch(train) [42][1560/2505] lr: 5.0000e-05 eta: 11:18:06 time: 0.8935 data_time: 0.2583 memory: 32703 grad_norm: 19.2137 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8374 loss: 0.8374 2022/07/30 17:36:57 - mmengine - INFO - Epoch(train) [42][1580/2505] lr: 5.0000e-05 eta: 11:17:46 time: 1.0268 data_time: 0.3193 memory: 32703 grad_norm: 18.2443 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9800 loss: 0.9800 2022/07/30 17:37:14 - mmengine - INFO - Epoch(train) [42][1600/2505] lr: 5.0000e-05 eta: 11:17:25 time: 0.8578 data_time: 0.2703 memory: 32703 grad_norm: 19.7114 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0383 loss: 1.0383 2022/07/30 17:37:36 - mmengine - INFO - Epoch(train) [42][1620/2505] lr: 5.0000e-05 eta: 11:17:07 time: 1.1258 data_time: 0.4683 memory: 32703 grad_norm: 18.7759 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9426 loss: 0.9426 2022/07/30 17:37:53 - mmengine - INFO - Epoch(train) [42][1640/2505] lr: 5.0000e-05 eta: 11:16:46 time: 0.8439 data_time: 0.2630 memory: 32703 grad_norm: 19.6356 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1992 loss: 1.1992 2022/07/30 17:38:15 - mmengine - INFO - Epoch(train) [42][1660/2505] lr: 5.0000e-05 eta: 11:16:27 time: 1.1107 data_time: 0.4724 memory: 32703 grad_norm: 18.8959 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2131 loss: 1.2131 2022/07/30 17:38:33 - mmengine - INFO - Epoch(train) [42][1680/2505] lr: 5.0000e-05 eta: 11:16:06 time: 0.8723 data_time: 0.2550 memory: 32703 grad_norm: 18.6951 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9258 loss: 0.9258 2022/07/30 17:38:53 - mmengine - INFO - Epoch(train) [42][1700/2505] lr: 5.0000e-05 eta: 11:15:46 time: 1.0128 data_time: 0.3236 memory: 32703 grad_norm: 19.1374 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8969 loss: 0.8969 2022/07/30 17:39:13 - mmengine - INFO - Epoch(train) [42][1720/2505] lr: 5.0000e-05 eta: 11:15:27 time: 0.9977 data_time: 0.1916 memory: 32703 grad_norm: 19.0374 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9761 loss: 0.9761 2022/07/30 17:39:33 - mmengine - INFO - Epoch(train) [42][1740/2505] lr: 5.0000e-05 eta: 11:15:07 time: 0.9770 data_time: 0.1896 memory: 32703 grad_norm: 19.7945 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9416 loss: 0.9416 2022/07/30 17:39:52 - mmengine - INFO - Epoch(train) [42][1760/2505] lr: 5.0000e-05 eta: 11:14:47 time: 0.9801 data_time: 0.1848 memory: 32703 grad_norm: 18.6256 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0413 loss: 1.0413 2022/07/30 17:40:11 - mmengine - INFO - Epoch(train) [42][1780/2505] lr: 5.0000e-05 eta: 11:14:26 time: 0.9274 data_time: 0.0894 memory: 32703 grad_norm: 18.6826 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1910 loss: 1.1910 2022/07/30 17:40:32 - mmengine - INFO - Epoch(train) [42][1800/2505] lr: 5.0000e-05 eta: 11:14:07 time: 1.0459 data_time: 0.0378 memory: 32703 grad_norm: 19.4973 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0582 loss: 1.0582 2022/07/30 17:40:50 - mmengine - INFO - Epoch(train) [42][1820/2505] lr: 5.0000e-05 eta: 11:13:46 time: 0.8949 data_time: 0.0313 memory: 32703 grad_norm: 18.5883 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8899 loss: 0.8899 2022/07/30 17:41:11 - mmengine - INFO - Epoch(train) [42][1840/2505] lr: 5.0000e-05 eta: 11:13:27 time: 1.0711 data_time: 0.0455 memory: 32703 grad_norm: 18.6205 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8765 loss: 0.8765 2022/07/30 17:41:29 - mmengine - INFO - Epoch(train) [42][1860/2505] lr: 5.0000e-05 eta: 11:13:07 time: 0.8992 data_time: 0.0289 memory: 32703 grad_norm: 17.8770 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9990 loss: 0.9990 2022/07/30 17:41:50 - mmengine - INFO - Epoch(train) [42][1880/2505] lr: 5.0000e-05 eta: 11:12:47 time: 1.0631 data_time: 0.0273 memory: 32703 grad_norm: 18.6272 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9124 loss: 0.9124 2022/07/30 17:42:09 - mmengine - INFO - Epoch(train) [42][1900/2505] lr: 5.0000e-05 eta: 11:12:27 time: 0.9265 data_time: 0.0264 memory: 32703 grad_norm: 18.6902 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1135 loss: 1.1135 2022/07/30 17:42:29 - mmengine - INFO - Epoch(train) [42][1920/2505] lr: 5.0000e-05 eta: 11:12:07 time: 1.0303 data_time: 0.0312 memory: 32703 grad_norm: 18.9842 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0681 loss: 1.0681 2022/07/30 17:42:47 - mmengine - INFO - Epoch(train) [42][1940/2505] lr: 5.0000e-05 eta: 11:11:47 time: 0.8761 data_time: 0.0295 memory: 32703 grad_norm: 18.6833 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0695 loss: 1.0695 2022/07/30 17:43:08 - mmengine - INFO - Epoch(train) [42][1960/2505] lr: 5.0000e-05 eta: 11:11:27 time: 1.0627 data_time: 0.0308 memory: 32703 grad_norm: 19.1058 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0963 loss: 1.0963 2022/07/30 17:43:27 - mmengine - INFO - Epoch(train) [42][1980/2505] lr: 5.0000e-05 eta: 11:11:07 time: 0.9227 data_time: 0.0358 memory: 32703 grad_norm: 17.5074 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8225 loss: 0.8225 2022/07/30 17:43:48 - mmengine - INFO - Epoch(train) [42][2000/2505] lr: 5.0000e-05 eta: 11:10:48 time: 1.0585 data_time: 0.0307 memory: 32703 grad_norm: 17.8762 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8895 loss: 0.8895 2022/07/30 17:44:05 - mmengine - INFO - Epoch(train) [42][2020/2505] lr: 5.0000e-05 eta: 11:10:27 time: 0.8767 data_time: 0.0313 memory: 32703 grad_norm: 18.7564 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8498 loss: 0.8498 2022/07/30 17:44:26 - mmengine - INFO - Epoch(train) [42][2040/2505] lr: 5.0000e-05 eta: 11:10:08 time: 1.0430 data_time: 0.0309 memory: 32703 grad_norm: 18.9404 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1389 loss: 1.1389 2022/07/30 17:44:45 - mmengine - INFO - Epoch(train) [42][2060/2505] lr: 5.0000e-05 eta: 11:09:47 time: 0.9256 data_time: 0.0329 memory: 32703 grad_norm: 18.6615 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0872 loss: 1.0872 2022/07/30 17:45:06 - mmengine - INFO - Epoch(train) [42][2080/2505] lr: 5.0000e-05 eta: 11:09:28 time: 1.0565 data_time: 0.0290 memory: 32703 grad_norm: 18.3471 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0391 loss: 1.0391 2022/07/30 17:45:26 - mmengine - INFO - Epoch(train) [42][2100/2505] lr: 5.0000e-05 eta: 11:09:08 time: 1.0239 data_time: 0.0316 memory: 32703 grad_norm: 19.8048 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1375 loss: 1.1375 2022/07/30 17:45:44 - mmengine - INFO - Epoch(train) [42][2120/2505] lr: 5.0000e-05 eta: 11:08:48 time: 0.8925 data_time: 0.0345 memory: 32703 grad_norm: 19.8566 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1329 loss: 1.1329 2022/07/30 17:46:05 - mmengine - INFO - Epoch(train) [42][2140/2505] lr: 5.0000e-05 eta: 11:08:28 time: 1.0613 data_time: 0.0297 memory: 32703 grad_norm: 19.0369 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9879 loss: 0.9879 2022/07/30 17:46:24 - mmengine - INFO - Epoch(train) [42][2160/2505] lr: 5.0000e-05 eta: 11:08:08 time: 0.9464 data_time: 0.0307 memory: 32703 grad_norm: 18.4119 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.0548 loss: 1.0548 2022/07/30 17:46:44 - mmengine - INFO - Epoch(train) [42][2180/2505] lr: 5.0000e-05 eta: 11:07:48 time: 0.9648 data_time: 0.0300 memory: 32703 grad_norm: 19.3337 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9703 loss: 0.9703 2022/07/30 17:47:05 - mmengine - INFO - Epoch(train) [42][2200/2505] lr: 5.0000e-05 eta: 11:07:29 time: 1.0455 data_time: 0.0283 memory: 32703 grad_norm: 18.9908 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9275 loss: 0.9275 2022/07/30 17:47:23 - mmengine - INFO - Epoch(train) [42][2220/2505] lr: 5.0000e-05 eta: 11:07:08 time: 0.9268 data_time: 0.0316 memory: 32703 grad_norm: 19.0991 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2642 loss: 1.2642 2022/07/30 17:47:43 - mmengine - INFO - Epoch(train) [42][2240/2505] lr: 5.0000e-05 eta: 11:06:49 time: 0.9912 data_time: 0.0291 memory: 32703 grad_norm: 19.4337 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9108 loss: 0.9108 2022/07/30 17:48:02 - mmengine - INFO - Epoch(train) [42][2260/2505] lr: 5.0000e-05 eta: 11:06:28 time: 0.9517 data_time: 0.0374 memory: 32703 grad_norm: 19.1299 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8579 loss: 0.8579 2022/07/30 17:48:21 - mmengine - INFO - Epoch(train) [42][2280/2505] lr: 5.0000e-05 eta: 11:06:08 time: 0.9648 data_time: 0.0689 memory: 32703 grad_norm: 19.2917 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0795 loss: 1.0795 2022/07/30 17:48:37 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 17:48:42 - mmengine - INFO - Epoch(train) [42][2300/2505] lr: 5.0000e-05 eta: 11:05:49 time: 1.0077 data_time: 0.0855 memory: 32703 grad_norm: 18.7593 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1758 loss: 1.1758 2022/07/30 17:49:00 - mmengine - INFO - Epoch(train) [42][2320/2505] lr: 5.0000e-05 eta: 11:05:28 time: 0.9406 data_time: 0.1808 memory: 32703 grad_norm: 18.8970 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9957 loss: 0.9957 2022/07/30 17:49:21 - mmengine - INFO - Epoch(train) [42][2340/2505] lr: 5.0000e-05 eta: 11:05:09 time: 1.0388 data_time: 0.0865 memory: 32703 grad_norm: 19.2236 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1602 loss: 1.1602 2022/07/30 17:49:40 - mmengine - INFO - Epoch(train) [42][2360/2505] lr: 5.0000e-05 eta: 11:04:49 time: 0.9435 data_time: 0.0306 memory: 32703 grad_norm: 19.1095 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1002 loss: 1.1002 2022/07/30 17:49:59 - mmengine - INFO - Epoch(train) [42][2380/2505] lr: 5.0000e-05 eta: 11:04:29 time: 0.9448 data_time: 0.0269 memory: 32703 grad_norm: 18.6777 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9243 loss: 0.9243 2022/07/30 17:50:19 - mmengine - INFO - Epoch(train) [42][2400/2505] lr: 5.0000e-05 eta: 11:04:09 time: 1.0096 data_time: 0.0282 memory: 32703 grad_norm: 18.9408 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9401 loss: 0.9401 2022/07/30 17:50:39 - mmengine - INFO - Epoch(train) [42][2420/2505] lr: 5.0000e-05 eta: 11:03:49 time: 0.9680 data_time: 0.0285 memory: 32703 grad_norm: 19.2428 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9328 loss: 0.9328 2022/07/30 17:50:59 - mmengine - INFO - Epoch(train) [42][2440/2505] lr: 5.0000e-05 eta: 11:03:29 time: 1.0144 data_time: 0.0332 memory: 32703 grad_norm: 18.8594 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9601 loss: 0.9601 2022/07/30 17:51:17 - mmengine - INFO - Epoch(train) [42][2460/2505] lr: 5.0000e-05 eta: 11:03:09 time: 0.9339 data_time: 0.0346 memory: 32703 grad_norm: 19.2345 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9644 loss: 0.9644 2022/07/30 17:51:38 - mmengine - INFO - Epoch(train) [42][2480/2505] lr: 5.0000e-05 eta: 11:02:49 time: 1.0309 data_time: 0.0285 memory: 32703 grad_norm: 19.5859 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0594 loss: 1.0594 2022/07/30 17:51:55 - mmengine - INFO - Epoch(train) [42][2500/2505] lr: 5.0000e-05 eta: 11:02:29 time: 0.8557 data_time: 0.0275 memory: 32703 grad_norm: 19.6729 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0650 loss: 1.0650 2022/07/30 17:51:58 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 17:51:58 - mmengine - INFO - Epoch(train) [42][2505/2505] lr: 5.0000e-05 eta: 11:02:29 time: 0.7032 data_time: 0.0200 memory: 32703 grad_norm: 19.5328 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0661 loss: 1.0661 2022/07/30 17:51:58 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/07/30 17:52:02 - mmengine - INFO - Epoch(val) [42][20/2475] eta: 0:04:12 time: 0.1028 data_time: 0.0738 memory: 817 2022/07/30 17:52:03 - mmengine - INFO - Epoch(val) [42][40/2475] eta: 0:02:43 time: 0.0670 data_time: 0.0381 memory: 817 2022/07/30 17:52:05 - mmengine - INFO - Epoch(val) [42][60/2475] eta: 0:03:45 time: 0.0933 data_time: 0.0650 memory: 817 2022/07/30 17:52:07 - mmengine - INFO - Epoch(val) [42][80/2475] eta: 0:02:52 time: 0.0722 data_time: 0.0452 memory: 817 2022/07/30 17:52:09 - mmengine - INFO - Epoch(val) [42][100/2475] eta: 0:04:11 time: 0.1057 data_time: 0.0779 memory: 817 2022/07/30 17:52:10 - mmengine - INFO - Epoch(val) [42][120/2475] eta: 0:02:30 time: 0.0641 data_time: 0.0364 memory: 817 2022/07/30 17:52:12 - mmengine - INFO - Epoch(val) [42][140/2475] eta: 0:03:35 time: 0.0923 data_time: 0.0658 memory: 817 2022/07/30 17:52:13 - mmengine - INFO - Epoch(val) [42][160/2475] eta: 0:02:53 time: 0.0748 data_time: 0.0483 memory: 817 2022/07/30 17:52:15 - mmengine - INFO - Epoch(val) [42][180/2475] eta: 0:03:43 time: 0.0975 data_time: 0.0675 memory: 817 2022/07/30 17:52:16 - mmengine - INFO - Epoch(val) [42][200/2475] eta: 0:01:51 time: 0.0488 data_time: 0.0206 memory: 817 2022/07/30 17:52:18 - mmengine - INFO - Epoch(val) [42][220/2475] eta: 0:03:10 time: 0.0844 data_time: 0.0573 memory: 817 2022/07/30 17:52:20 - mmengine - INFO - Epoch(val) [42][240/2475] eta: 0:02:49 time: 0.0758 data_time: 0.0494 memory: 817 2022/07/30 17:52:21 - mmengine - INFO - Epoch(val) [42][260/2475] eta: 0:02:35 time: 0.0700 data_time: 0.0391 memory: 817 2022/07/30 17:52:22 - mmengine - INFO - Epoch(val) [42][280/2475] eta: 0:02:19 time: 0.0637 data_time: 0.0368 memory: 817 2022/07/30 17:52:24 - mmengine - INFO - Epoch(val) [42][300/2475] eta: 0:03:08 time: 0.0867 data_time: 0.0588 memory: 817 2022/07/30 17:52:26 - mmengine - INFO - Epoch(val) [42][320/2475] eta: 0:02:59 time: 0.0831 data_time: 0.0540 memory: 817 2022/07/30 17:52:28 - mmengine - INFO - Epoch(val) [42][340/2475] eta: 0:03:22 time: 0.0947 data_time: 0.0676 memory: 817 2022/07/30 17:52:30 - mmengine - INFO - Epoch(val) [42][360/2475] eta: 0:03:29 time: 0.0991 data_time: 0.0709 memory: 817 2022/07/30 17:52:31 - mmengine - INFO - Epoch(val) [42][380/2475] eta: 0:02:04 time: 0.0593 data_time: 0.0319 memory: 817 2022/07/30 17:52:32 - mmengine - INFO - Epoch(val) [42][400/2475] eta: 0:02:42 time: 0.0782 data_time: 0.0485 memory: 817 2022/07/30 17:52:34 - mmengine - INFO - Epoch(val) [42][420/2475] eta: 0:02:35 time: 0.0759 data_time: 0.0466 memory: 817 2022/07/30 17:52:36 - mmengine - INFO - Epoch(val) [42][440/2475] eta: 0:03:20 time: 0.0983 data_time: 0.0489 memory: 817 2022/07/30 17:52:37 - mmengine - INFO - Epoch(val) [42][460/2475] eta: 0:01:59 time: 0.0595 data_time: 0.0268 memory: 817 2022/07/30 17:52:39 - mmengine - INFO - Epoch(val) [42][480/2475] eta: 0:03:10 time: 0.0952 data_time: 0.0696 memory: 817 2022/07/30 17:52:40 - mmengine - INFO - Epoch(val) [42][500/2475] eta: 0:02:02 time: 0.0620 data_time: 0.0347 memory: 817 2022/07/30 17:52:42 - mmengine - INFO - Epoch(val) [42][520/2475] eta: 0:03:05 time: 0.0950 data_time: 0.0678 memory: 817 2022/07/30 17:52:43 - mmengine - INFO - Epoch(val) [42][540/2475] eta: 0:02:04 time: 0.0646 data_time: 0.0377 memory: 817 2022/07/30 17:52:45 - mmengine - INFO - Epoch(val) [42][560/2475] eta: 0:02:44 time: 0.0860 data_time: 0.0591 memory: 817 2022/07/30 17:52:47 - mmengine - INFO - Epoch(val) [42][580/2475] eta: 0:02:14 time: 0.0710 data_time: 0.0441 memory: 817 2022/07/30 17:52:48 - mmengine - INFO - Epoch(val) [42][600/2475] eta: 0:02:55 time: 0.0934 data_time: 0.0652 memory: 817 2022/07/30 17:52:50 - mmengine - INFO - Epoch(val) [42][620/2475] eta: 0:02:23 time: 0.0776 data_time: 0.0506 memory: 817 2022/07/30 17:52:52 - mmengine - INFO - Epoch(val) [42][640/2475] eta: 0:02:46 time: 0.0910 data_time: 0.0639 memory: 817 2022/07/30 17:52:53 - mmengine - INFO - Epoch(val) [42][660/2475] eta: 0:02:02 time: 0.0675 data_time: 0.0407 memory: 817 2022/07/30 17:52:55 - mmengine - INFO - Epoch(val) [42][680/2475] eta: 0:02:37 time: 0.0875 data_time: 0.0586 memory: 817 2022/07/30 17:53:03 - mmengine - INFO - Epoch(val) [42][700/2475] eta: 0:11:36 time: 0.3925 data_time: 0.0029 memory: 817 2022/07/30 17:53:04 - mmengine - INFO - Epoch(val) [42][720/2475] eta: 0:02:04 time: 0.0710 data_time: 0.0379 memory: 817 2022/07/30 17:53:06 - mmengine - INFO - Epoch(val) [42][740/2475] eta: 0:01:58 time: 0.0685 data_time: 0.0410 memory: 817 2022/07/30 17:53:07 - mmengine - INFO - Epoch(val) [42][760/2475] eta: 0:02:23 time: 0.0838 data_time: 0.0566 memory: 817 2022/07/30 17:53:09 - mmengine - INFO - Epoch(val) [42][780/2475] eta: 0:02:08 time: 0.0761 data_time: 0.0481 memory: 817 2022/07/30 17:53:10 - mmengine - INFO - Epoch(val) [42][800/2475] eta: 0:02:22 time: 0.0849 data_time: 0.0583 memory: 817 2022/07/30 17:53:12 - mmengine - INFO - Epoch(val) [42][820/2475] eta: 0:02:25 time: 0.0881 data_time: 0.0586 memory: 817 2022/07/30 17:53:14 - mmengine - INFO - Epoch(val) [42][840/2475] eta: 0:01:47 time: 0.0658 data_time: 0.0371 memory: 817 2022/07/30 17:53:16 - mmengine - INFO - Epoch(val) [42][860/2475] eta: 0:02:53 time: 0.1077 data_time: 0.0560 memory: 817 2022/07/30 17:53:17 - mmengine - INFO - Epoch(val) [42][880/2475] eta: 0:01:36 time: 0.0603 data_time: 0.0325 memory: 817 2022/07/30 17:53:19 - mmengine - INFO - Epoch(val) [42][900/2475] eta: 0:02:12 time: 0.0843 data_time: 0.0587 memory: 817 2022/07/30 17:53:20 - mmengine - INFO - Epoch(val) [42][920/2475] eta: 0:01:56 time: 0.0751 data_time: 0.0480 memory: 817 2022/07/30 17:53:22 - mmengine - INFO - Epoch(val) [42][940/2475] eta: 0:02:11 time: 0.0857 data_time: 0.0591 memory: 817 2022/07/30 17:53:23 - mmengine - INFO - Epoch(val) [42][960/2475] eta: 0:01:54 time: 0.0755 data_time: 0.0483 memory: 817 2022/07/30 17:53:25 - mmengine - INFO - Epoch(val) [42][980/2475] eta: 0:02:04 time: 0.0833 data_time: 0.0563 memory: 817 2022/07/30 17:53:26 - mmengine - INFO - Epoch(val) [42][1000/2475] eta: 0:01:37 time: 0.0660 data_time: 0.0384 memory: 817 2022/07/30 17:53:28 - mmengine - INFO - Epoch(val) [42][1020/2475] eta: 0:02:05 time: 0.0864 data_time: 0.0582 memory: 817 2022/07/30 17:53:30 - mmengine - INFO - Epoch(val) [42][1040/2475] eta: 0:01:49 time: 0.0760 data_time: 0.0485 memory: 817 2022/07/30 17:53:31 - mmengine - INFO - Epoch(val) [42][1060/2475] eta: 0:02:12 time: 0.0938 data_time: 0.0663 memory: 817 2022/07/30 17:53:33 - mmengine - INFO - Epoch(val) [42][1080/2475] eta: 0:01:37 time: 0.0695 data_time: 0.0433 memory: 817 2022/07/30 17:53:35 - mmengine - INFO - Epoch(val) [42][1100/2475] eta: 0:02:06 time: 0.0923 data_time: 0.0665 memory: 817 2022/07/30 17:53:36 - mmengine - INFO - Epoch(val) [42][1120/2475] eta: 0:01:27 time: 0.0645 data_time: 0.0334 memory: 817 2022/07/30 17:53:38 - mmengine - INFO - Epoch(val) [42][1140/2475] eta: 0:01:44 time: 0.0783 data_time: 0.0520 memory: 817 2022/07/30 17:53:39 - mmengine - INFO - Epoch(val) [42][1160/2475] eta: 0:02:04 time: 0.0943 data_time: 0.0664 memory: 817 2022/07/30 17:53:41 - mmengine - INFO - Epoch(val) [42][1180/2475] eta: 0:01:19 time: 0.0617 data_time: 0.0352 memory: 817 2022/07/30 17:53:43 - mmengine - INFO - Epoch(val) [42][1200/2475] eta: 0:02:08 time: 0.1005 data_time: 0.0728 memory: 817 2022/07/30 17:53:44 - mmengine - INFO - Epoch(val) [42][1220/2475] eta: 0:01:28 time: 0.0704 data_time: 0.0413 memory: 817 2022/07/30 17:53:46 - mmengine - INFO - Epoch(val) [42][1240/2475] eta: 0:01:43 time: 0.0834 data_time: 0.0549 memory: 817 2022/07/30 17:53:47 - mmengine - INFO - Epoch(val) [42][1260/2475] eta: 0:01:34 time: 0.0779 data_time: 0.0513 memory: 817 2022/07/30 17:53:49 - mmengine - INFO - Epoch(val) [42][1280/2475] eta: 0:01:55 time: 0.0966 data_time: 0.0703 memory: 817 2022/07/30 17:53:51 - mmengine - INFO - Epoch(val) [42][1300/2475] eta: 0:01:14 time: 0.0635 data_time: 0.0358 memory: 817 2022/07/30 17:53:52 - mmengine - INFO - Epoch(val) [42][1320/2475] eta: 0:01:44 time: 0.0902 data_time: 0.0633 memory: 817 2022/07/30 17:53:54 - mmengine - INFO - Epoch(val) [42][1340/2475] eta: 0:01:16 time: 0.0676 data_time: 0.0407 memory: 817 2022/07/30 17:53:56 - mmengine - INFO - Epoch(val) [42][1360/2475] eta: 0:01:39 time: 0.0890 data_time: 0.0478 memory: 817 2022/07/30 17:53:57 - mmengine - INFO - Epoch(val) [42][1380/2475] eta: 0:01:18 time: 0.0718 data_time: 0.0439 memory: 817 2022/07/30 17:53:59 - mmengine - INFO - Epoch(val) [42][1400/2475] eta: 0:01:32 time: 0.0862 data_time: 0.0593 memory: 817 2022/07/30 17:54:00 - mmengine - INFO - Epoch(val) [42][1420/2475] eta: 0:01:22 time: 0.0778 data_time: 0.0502 memory: 817 2022/07/30 17:54:02 - mmengine - INFO - Epoch(val) [42][1440/2475] eta: 0:01:27 time: 0.0841 data_time: 0.0561 memory: 817 2022/07/30 17:54:04 - mmengine - INFO - Epoch(val) [42][1460/2475] eta: 0:01:19 time: 0.0784 data_time: 0.0514 memory: 817 2022/07/30 17:54:05 - mmengine - INFO - Epoch(val) [42][1480/2475] eta: 0:01:30 time: 0.0914 data_time: 0.0629 memory: 817 2022/07/30 17:54:07 - mmengine - INFO - Epoch(val) [42][1500/2475] eta: 0:01:06 time: 0.0686 data_time: 0.0411 memory: 817 2022/07/30 17:54:08 - mmengine - INFO - Epoch(val) [42][1520/2475] eta: 0:01:20 time: 0.0844 data_time: 0.0570 memory: 817 2022/07/30 17:54:10 - mmengine - INFO - Epoch(val) [42][1540/2475] eta: 0:01:08 time: 0.0733 data_time: 0.0450 memory: 817 2022/07/30 17:54:12 - mmengine - INFO - Epoch(val) [42][1560/2475] eta: 0:01:20 time: 0.0882 data_time: 0.0600 memory: 817 2022/07/30 17:54:13 - mmengine - INFO - Epoch(val) [42][1580/2475] eta: 0:01:07 time: 0.0754 data_time: 0.0480 memory: 817 2022/07/30 17:54:15 - mmengine - INFO - Epoch(val) [42][1600/2475] eta: 0:01:14 time: 0.0853 data_time: 0.0548 memory: 817 2022/07/30 17:54:16 - mmengine - INFO - Epoch(val) [42][1620/2475] eta: 0:00:50 time: 0.0595 data_time: 0.0141 memory: 817 2022/07/30 17:54:18 - mmengine - INFO - Epoch(val) [42][1640/2475] eta: 0:01:15 time: 0.0907 data_time: 0.0633 memory: 817 2022/07/30 17:54:19 - mmengine - INFO - Epoch(val) [42][1660/2475] eta: 0:00:57 time: 0.0708 data_time: 0.0411 memory: 817 2022/07/30 17:54:21 - mmengine - INFO - Epoch(val) [42][1680/2475] eta: 0:01:16 time: 0.0961 data_time: 0.0665 memory: 817 2022/07/30 17:54:23 - mmengine - INFO - Epoch(val) [42][1700/2475] eta: 0:00:57 time: 0.0745 data_time: 0.0476 memory: 817 2022/07/30 17:54:25 - mmengine - INFO - Epoch(val) [42][1720/2475] eta: 0:01:10 time: 0.0936 data_time: 0.0672 memory: 817 2022/07/30 17:54:26 - mmengine - INFO - Epoch(val) [42][1740/2475] eta: 0:00:53 time: 0.0728 data_time: 0.0458 memory: 817 2022/07/30 17:54:28 - mmengine - INFO - Epoch(val) [42][1760/2475] eta: 0:01:09 time: 0.0968 data_time: 0.0679 memory: 817 2022/07/30 17:54:29 - mmengine - INFO - Epoch(val) [42][1780/2475] eta: 0:00:45 time: 0.0651 data_time: 0.0383 memory: 817 2022/07/30 17:54:31 - mmengine - INFO - Epoch(val) [42][1800/2475] eta: 0:01:02 time: 0.0927 data_time: 0.0656 memory: 817 2022/07/30 17:54:33 - mmengine - INFO - Epoch(val) [42][1820/2475] eta: 0:00:47 time: 0.0724 data_time: 0.0459 memory: 817 2022/07/30 17:54:34 - mmengine - INFO - Epoch(val) [42][1840/2475] eta: 0:00:51 time: 0.0817 data_time: 0.0538 memory: 817 2022/07/30 17:54:36 - mmengine - INFO - Epoch(val) [42][1860/2475] eta: 0:00:43 time: 0.0708 data_time: 0.0291 memory: 817 2022/07/30 17:54:37 - mmengine - INFO - Epoch(val) [42][1880/2475] eta: 0:00:44 time: 0.0749 data_time: 0.0472 memory: 817 2022/07/30 17:54:39 - mmengine - INFO - Epoch(val) [42][1900/2475] eta: 0:00:42 time: 0.0734 data_time: 0.0446 memory: 817 2022/07/30 17:54:40 - mmengine - INFO - Epoch(val) [42][1920/2475] eta: 0:00:41 time: 0.0742 data_time: 0.0463 memory: 817 2022/07/30 17:54:42 - mmengine - INFO - Epoch(val) [42][1940/2475] eta: 0:00:43 time: 0.0820 data_time: 0.0544 memory: 817 2022/07/30 17:54:44 - mmengine - INFO - Epoch(val) [42][1960/2475] eta: 0:00:43 time: 0.0846 data_time: 0.0574 memory: 817 2022/07/30 17:54:45 - mmengine - INFO - Epoch(val) [42][1980/2475] eta: 0:00:34 time: 0.0699 data_time: 0.0415 memory: 817 2022/07/30 17:54:47 - mmengine - INFO - Epoch(val) [42][2000/2475] eta: 0:00:43 time: 0.0918 data_time: 0.0636 memory: 817 2022/07/30 17:54:48 - mmengine - INFO - Epoch(val) [42][2020/2475] eta: 0:00:38 time: 0.0851 data_time: 0.0581 memory: 817 2022/07/30 17:54:50 - mmengine - INFO - Epoch(val) [42][2040/2475] eta: 0:00:32 time: 0.0754 data_time: 0.0481 memory: 817 2022/07/30 17:54:52 - mmengine - INFO - Epoch(val) [42][2060/2475] eta: 0:00:38 time: 0.0930 data_time: 0.0665 memory: 817 2022/07/30 17:54:53 - mmengine - INFO - Epoch(val) [42][2080/2475] eta: 0:00:24 time: 0.0615 data_time: 0.0336 memory: 817 2022/07/30 17:54:55 - mmengine - INFO - Epoch(val) [42][2100/2475] eta: 0:00:34 time: 0.0923 data_time: 0.0654 memory: 817 2022/07/30 17:54:56 - mmengine - INFO - Epoch(val) [42][2120/2475] eta: 0:00:27 time: 0.0779 data_time: 0.0473 memory: 817 2022/07/30 17:54:58 - mmengine - INFO - Epoch(val) [42][2140/2475] eta: 0:00:24 time: 0.0739 data_time: 0.0471 memory: 817 2022/07/30 17:55:00 - mmengine - INFO - Epoch(val) [42][2160/2475] eta: 0:00:25 time: 0.0803 data_time: 0.0517 memory: 817 2022/07/30 17:55:01 - mmengine - INFO - Epoch(val) [42][2180/2475] eta: 0:00:26 time: 0.0889 data_time: 0.0616 memory: 817 2022/07/30 17:55:03 - mmengine - INFO - Epoch(val) [42][2200/2475] eta: 0:00:25 time: 0.0934 data_time: 0.0658 memory: 817 2022/07/30 17:55:05 - mmengine - INFO - Epoch(val) [42][2220/2475] eta: 0:00:23 time: 0.0911 data_time: 0.0638 memory: 817 2022/07/30 17:55:07 - mmengine - INFO - Epoch(val) [42][2240/2475] eta: 0:00:17 time: 0.0743 data_time: 0.0477 memory: 817 2022/07/30 17:55:08 - mmengine - INFO - Epoch(val) [42][2260/2475] eta: 0:00:19 time: 0.0917 data_time: 0.0649 memory: 817 2022/07/30 17:55:10 - mmengine - INFO - Epoch(val) [42][2280/2475] eta: 0:00:13 time: 0.0667 data_time: 0.0403 memory: 817 2022/07/30 17:55:11 - mmengine - INFO - Epoch(val) [42][2300/2475] eta: 0:00:15 time: 0.0882 data_time: 0.0612 memory: 817 2022/07/30 17:55:13 - mmengine - INFO - Epoch(val) [42][2320/2475] eta: 0:00:10 time: 0.0708 data_time: 0.0417 memory: 817 2022/07/30 17:55:15 - mmengine - INFO - Epoch(val) [42][2340/2475] eta: 0:00:11 time: 0.0854 data_time: 0.0559 memory: 817 2022/07/30 17:55:16 - mmengine - INFO - Epoch(val) [42][2360/2475] eta: 0:00:09 time: 0.0806 data_time: 0.0430 memory: 817 2022/07/30 17:55:18 - mmengine - INFO - Epoch(val) [42][2380/2475] eta: 0:00:07 time: 0.0785 data_time: 0.0467 memory: 817 2022/07/30 17:55:19 - mmengine - INFO - Epoch(val) [42][2400/2475] eta: 0:00:05 time: 0.0670 data_time: 0.0403 memory: 817 2022/07/30 17:55:21 - mmengine - INFO - Epoch(val) [42][2420/2475] eta: 0:00:05 time: 0.0962 data_time: 0.0692 memory: 817 2022/07/30 17:55:22 - mmengine - INFO - Epoch(val) [42][2440/2475] eta: 0:00:02 time: 0.0696 data_time: 0.0427 memory: 817 2022/07/30 17:55:24 - mmengine - INFO - Epoch(val) [42][2460/2475] eta: 0:00:01 time: 0.0795 data_time: 0.0518 memory: 817 2022/07/30 17:55:27 - mmengine - INFO - Epoch(val) [42][2475/2475] acc/top1: 0.7605 acc/top5: 0.9196 acc/mean1: 0.7603 2022/07/30 17:55:27 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_40.pth is removed 2022/07/30 17:55:29 - mmengine - INFO - The best checkpoint with 0.7605 acc/top1 at 43 epoch is saved to best_acc/top1_epoch_43.pth. 2022/07/30 17:55:55 - mmengine - INFO - Epoch(train) [43][20/2505] lr: 5.0000e-05 eta: 11:02:04 time: 1.2835 data_time: 0.6961 memory: 32703 grad_norm: 18.0076 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0253 loss: 1.0253 2022/07/30 17:56:13 - mmengine - INFO - Epoch(train) [43][40/2505] lr: 5.0000e-05 eta: 11:01:44 time: 0.9044 data_time: 0.3106 memory: 32703 grad_norm: 18.5475 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9804 loss: 0.9804 2022/07/30 17:56:33 - mmengine - INFO - Epoch(train) [43][60/2505] lr: 5.0000e-05 eta: 11:01:24 time: 1.0335 data_time: 0.4290 memory: 32703 grad_norm: 19.0917 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9635 loss: 0.9635 2022/07/30 17:56:52 - mmengine - INFO - Epoch(train) [43][80/2505] lr: 5.0000e-05 eta: 11:01:04 time: 0.9275 data_time: 0.3439 memory: 32703 grad_norm: 19.8527 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1596 loss: 1.1596 2022/07/30 17:57:13 - mmengine - INFO - Epoch(train) [43][100/2505] lr: 5.0000e-05 eta: 11:00:44 time: 1.0556 data_time: 0.4427 memory: 32703 grad_norm: 18.1390 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9419 loss: 0.9419 2022/07/30 17:57:31 - mmengine - INFO - Epoch(train) [43][120/2505] lr: 5.0000e-05 eta: 11:00:24 time: 0.9106 data_time: 0.3211 memory: 32703 grad_norm: 18.5978 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9727 loss: 0.9727 2022/07/30 17:57:52 - mmengine - INFO - Epoch(train) [43][140/2505] lr: 5.0000e-05 eta: 11:00:05 time: 1.0346 data_time: 0.4202 memory: 32703 grad_norm: 18.9984 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9744 loss: 0.9744 2022/07/30 17:58:11 - mmengine - INFO - Epoch(train) [43][160/2505] lr: 5.0000e-05 eta: 10:59:44 time: 0.9638 data_time: 0.3502 memory: 32703 grad_norm: 19.1314 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0734 loss: 1.0734 2022/07/30 17:58:31 - mmengine - INFO - Epoch(train) [43][180/2505] lr: 5.0000e-05 eta: 10:59:25 time: 0.9953 data_time: 0.3851 memory: 32703 grad_norm: 18.6897 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0669 loss: 1.0669 2022/07/30 17:58:50 - mmengine - INFO - Epoch(train) [43][200/2505] lr: 5.0000e-05 eta: 10:59:04 time: 0.9279 data_time: 0.3113 memory: 32703 grad_norm: 19.2397 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9659 loss: 0.9659 2022/07/30 17:59:11 - mmengine - INFO - Epoch(train) [43][220/2505] lr: 5.0000e-05 eta: 10:58:45 time: 1.0546 data_time: 0.4509 memory: 32703 grad_norm: 19.1003 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0248 loss: 1.0248 2022/07/30 17:59:29 - mmengine - INFO - Epoch(train) [43][240/2505] lr: 5.0000e-05 eta: 10:58:25 time: 0.9237 data_time: 0.3339 memory: 32703 grad_norm: 19.2076 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0336 loss: 1.0336 2022/07/30 17:59:50 - mmengine - INFO - Epoch(train) [43][260/2505] lr: 5.0000e-05 eta: 10:58:05 time: 1.0541 data_time: 0.3749 memory: 32703 grad_norm: 19.2377 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0380 loss: 1.0380 2022/07/30 18:00:09 - mmengine - INFO - Epoch(train) [43][280/2505] lr: 5.0000e-05 eta: 10:57:45 time: 0.9457 data_time: 0.2831 memory: 32703 grad_norm: 18.9841 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0721 loss: 1.0721 2022/07/30 18:00:30 - mmengine - INFO - Epoch(train) [43][300/2505] lr: 5.0000e-05 eta: 10:57:26 time: 1.0537 data_time: 0.4656 memory: 32703 grad_norm: 17.9473 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9790 loss: 0.9790 2022/07/30 18:00:48 - mmengine - INFO - Epoch(train) [43][320/2505] lr: 5.0000e-05 eta: 10:57:05 time: 0.8992 data_time: 0.2765 memory: 32703 grad_norm: 18.8420 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.7901 loss: 0.7901 2022/07/30 18:01:10 - mmengine - INFO - Epoch(train) [43][340/2505] lr: 5.0000e-05 eta: 10:56:46 time: 1.0685 data_time: 0.4870 memory: 32703 grad_norm: 18.4055 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0970 loss: 1.0970 2022/07/30 18:01:28 - mmengine - INFO - Epoch(train) [43][360/2505] lr: 5.0000e-05 eta: 10:56:26 time: 0.9351 data_time: 0.3208 memory: 32703 grad_norm: 18.1986 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9726 loss: 0.9726 2022/07/30 18:01:50 - mmengine - INFO - Epoch(train) [43][380/2505] lr: 5.0000e-05 eta: 10:56:06 time: 1.0580 data_time: 0.4286 memory: 32703 grad_norm: 19.5932 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0615 loss: 1.0615 2022/07/30 18:02:08 - mmengine - INFO - Epoch(train) [43][400/2505] lr: 5.0000e-05 eta: 10:55:46 time: 0.9088 data_time: 0.2783 memory: 32703 grad_norm: 19.3961 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9700 loss: 0.9700 2022/07/30 18:02:29 - mmengine - INFO - Epoch(train) [43][420/2505] lr: 5.0000e-05 eta: 10:55:26 time: 1.0434 data_time: 0.4650 memory: 32703 grad_norm: 19.3323 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1470 loss: 1.1470 2022/07/30 18:02:47 - mmengine - INFO - Epoch(train) [43][440/2505] lr: 5.0000e-05 eta: 10:55:06 time: 0.9056 data_time: 0.2894 memory: 32703 grad_norm: 18.5500 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8577 loss: 0.8577 2022/07/30 18:03:08 - mmengine - INFO - Epoch(train) [43][460/2505] lr: 5.0000e-05 eta: 10:54:47 time: 1.0604 data_time: 0.4183 memory: 32703 grad_norm: 19.0905 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8391 loss: 0.8391 2022/07/30 18:03:25 - mmengine - INFO - Epoch(train) [43][480/2505] lr: 5.0000e-05 eta: 10:54:26 time: 0.8723 data_time: 0.2106 memory: 32703 grad_norm: 19.3261 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0975 loss: 1.0975 2022/07/30 18:03:47 - mmengine - INFO - Epoch(train) [43][500/2505] lr: 5.0000e-05 eta: 10:54:07 time: 1.0865 data_time: 0.3557 memory: 32703 grad_norm: 18.0549 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8924 loss: 0.8924 2022/07/30 18:04:05 - mmengine - INFO - Epoch(train) [43][520/2505] lr: 5.0000e-05 eta: 10:53:46 time: 0.9074 data_time: 0.1994 memory: 32703 grad_norm: 19.6406 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1079 loss: 1.1079 2022/07/30 18:04:27 - mmengine - INFO - Epoch(train) [43][540/2505] lr: 5.0000e-05 eta: 10:53:27 time: 1.1003 data_time: 0.2660 memory: 32703 grad_norm: 18.6799 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7453 loss: 0.7453 2022/07/30 18:04:46 - mmengine - INFO - Epoch(train) [43][560/2505] lr: 5.0000e-05 eta: 10:53:07 time: 0.9187 data_time: 0.2437 memory: 32703 grad_norm: 18.5457 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9974 loss: 0.9974 2022/07/30 18:05:07 - mmengine - INFO - Epoch(train) [43][580/2505] lr: 5.0000e-05 eta: 10:52:48 time: 1.0414 data_time: 0.1443 memory: 32703 grad_norm: 18.9573 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8916 loss: 0.8916 2022/07/30 18:05:24 - mmengine - INFO - Epoch(train) [43][600/2505] lr: 5.0000e-05 eta: 10:52:27 time: 0.8791 data_time: 0.0598 memory: 32703 grad_norm: 19.1775 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1079 loss: 1.1079 2022/07/30 18:05:46 - mmengine - INFO - Epoch(train) [43][620/2505] lr: 5.0000e-05 eta: 10:52:08 time: 1.1159 data_time: 0.0498 memory: 32703 grad_norm: 18.5610 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.7974 loss: 0.7974 2022/07/30 18:06:05 - mmengine - INFO - Epoch(train) [43][640/2505] lr: 5.0000e-05 eta: 10:51:47 time: 0.9065 data_time: 0.1118 memory: 32703 grad_norm: 18.7278 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.1951 loss: 1.1951 2022/07/30 18:06:26 - mmengine - INFO - Epoch(train) [43][660/2505] lr: 5.0000e-05 eta: 10:51:28 time: 1.0572 data_time: 0.2536 memory: 32703 grad_norm: 19.0649 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9828 loss: 0.9828 2022/07/30 18:06:44 - mmengine - INFO - Epoch(train) [43][680/2505] lr: 5.0000e-05 eta: 10:51:08 time: 0.9097 data_time: 0.1735 memory: 32703 grad_norm: 19.5797 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1477 loss: 1.1477 2022/07/30 18:07:04 - mmengine - INFO - Epoch(train) [43][700/2505] lr: 5.0000e-05 eta: 10:50:48 time: 0.9951 data_time: 0.1635 memory: 32703 grad_norm: 18.9416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9952 loss: 0.9952 2022/07/30 18:07:22 - mmengine - INFO - Epoch(train) [43][720/2505] lr: 5.0000e-05 eta: 10:50:28 time: 0.9193 data_time: 0.0429 memory: 32703 grad_norm: 18.4349 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8613 loss: 0.8613 2022/07/30 18:07:43 - mmengine - INFO - Epoch(train) [43][740/2505] lr: 5.0000e-05 eta: 10:50:08 time: 1.0221 data_time: 0.0293 memory: 32703 grad_norm: 18.3890 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0732 loss: 1.0732 2022/07/30 18:08:00 - mmengine - INFO - Epoch(train) [43][760/2505] lr: 5.0000e-05 eta: 10:49:47 time: 0.8862 data_time: 0.0530 memory: 32703 grad_norm: 19.4558 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0615 loss: 1.0615 2022/07/30 18:08:22 - mmengine - INFO - Epoch(train) [43][780/2505] lr: 5.0000e-05 eta: 10:49:28 time: 1.0739 data_time: 0.2379 memory: 32703 grad_norm: 19.9677 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1722 loss: 1.1722 2022/07/30 18:08:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 18:08:39 - mmengine - INFO - Epoch(train) [43][800/2505] lr: 5.0000e-05 eta: 10:49:07 time: 0.8608 data_time: 0.0271 memory: 32703 grad_norm: 19.1222 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0194 loss: 1.0194 2022/07/30 18:09:00 - mmengine - INFO - Epoch(train) [43][820/2505] lr: 5.0000e-05 eta: 10:48:48 time: 1.0401 data_time: 0.0370 memory: 32703 grad_norm: 19.5059 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0576 loss: 1.0576 2022/07/30 18:09:19 - mmengine - INFO - Epoch(train) [43][840/2505] lr: 5.0000e-05 eta: 10:48:28 time: 0.9401 data_time: 0.1053 memory: 32703 grad_norm: 18.2625 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7873 loss: 0.7873 2022/07/30 18:09:39 - mmengine - INFO - Epoch(train) [43][860/2505] lr: 5.0000e-05 eta: 10:48:08 time: 1.0177 data_time: 0.0865 memory: 32703 grad_norm: 19.1425 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0287 loss: 1.0287 2022/07/30 18:09:58 - mmengine - INFO - Epoch(train) [43][880/2505] lr: 5.0000e-05 eta: 10:47:48 time: 0.9372 data_time: 0.0880 memory: 32703 grad_norm: 18.0302 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0929 loss: 1.0929 2022/07/30 18:10:19 - mmengine - INFO - Epoch(train) [43][900/2505] lr: 5.0000e-05 eta: 10:47:28 time: 1.0580 data_time: 0.0547 memory: 32703 grad_norm: 18.0498 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8624 loss: 0.8624 2022/07/30 18:10:38 - mmengine - INFO - Epoch(train) [43][920/2505] lr: 5.0000e-05 eta: 10:47:08 time: 0.9325 data_time: 0.0539 memory: 32703 grad_norm: 19.2201 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1752 loss: 1.1752 2022/07/30 18:10:59 - mmengine - INFO - Epoch(train) [43][940/2505] lr: 5.0000e-05 eta: 10:46:49 time: 1.0818 data_time: 0.0375 memory: 32703 grad_norm: 18.9332 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1217 loss: 1.1217 2022/07/30 18:11:18 - mmengine - INFO - Epoch(train) [43][960/2505] lr: 5.0000e-05 eta: 10:46:29 time: 0.9235 data_time: 0.0302 memory: 32703 grad_norm: 18.9085 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0676 loss: 1.0676 2022/07/30 18:11:39 - mmengine - INFO - Epoch(train) [43][980/2505] lr: 5.0000e-05 eta: 10:46:09 time: 1.0788 data_time: 0.0638 memory: 32703 grad_norm: 18.9154 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0311 loss: 1.0311 2022/07/30 18:11:57 - mmengine - INFO - Epoch(train) [43][1000/2505] lr: 5.0000e-05 eta: 10:45:49 time: 0.8735 data_time: 0.0282 memory: 32703 grad_norm: 17.8142 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9235 loss: 0.9235 2022/07/30 18:12:18 - mmengine - INFO - Epoch(train) [43][1020/2505] lr: 5.0000e-05 eta: 10:45:29 time: 1.0524 data_time: 0.0289 memory: 32703 grad_norm: 18.8240 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9594 loss: 0.9594 2022/07/30 18:12:36 - mmengine - INFO - Epoch(train) [43][1040/2505] lr: 5.0000e-05 eta: 10:45:09 time: 0.9225 data_time: 0.0320 memory: 32703 grad_norm: 18.8750 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.9549 loss: 0.9549 2022/07/30 18:12:58 - mmengine - INFO - Epoch(train) [43][1060/2505] lr: 5.0000e-05 eta: 10:44:50 time: 1.0723 data_time: 0.0266 memory: 32703 grad_norm: 18.7247 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8788 loss: 0.8788 2022/07/30 18:13:15 - mmengine - INFO - Epoch(train) [43][1080/2505] lr: 5.0000e-05 eta: 10:44:29 time: 0.8618 data_time: 0.0286 memory: 32703 grad_norm: 19.6341 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.1792 loss: 1.1792 2022/07/30 18:13:37 - mmengine - INFO - Epoch(train) [43][1100/2505] lr: 5.0000e-05 eta: 10:44:10 time: 1.0885 data_time: 0.0282 memory: 32703 grad_norm: 19.1558 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9598 loss: 0.9598 2022/07/30 18:13:54 - mmengine - INFO - Epoch(train) [43][1120/2505] lr: 5.0000e-05 eta: 10:43:49 time: 0.8803 data_time: 0.0371 memory: 32703 grad_norm: 19.3405 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8923 loss: 0.8923 2022/07/30 18:14:15 - mmengine - INFO - Epoch(train) [43][1140/2505] lr: 5.0000e-05 eta: 10:43:30 time: 1.0180 data_time: 0.0279 memory: 32703 grad_norm: 19.0115 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0771 loss: 1.0771 2022/07/30 18:14:33 - mmengine - INFO - Epoch(train) [43][1160/2505] lr: 5.0000e-05 eta: 10:43:09 time: 0.9140 data_time: 0.0562 memory: 32703 grad_norm: 18.8083 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.9785 loss: 0.9785 2022/07/30 18:14:54 - mmengine - INFO - Epoch(train) [43][1180/2505] lr: 5.0000e-05 eta: 10:42:50 time: 1.0441 data_time: 0.0502 memory: 32703 grad_norm: 19.1987 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0750 loss: 1.0750 2022/07/30 18:15:12 - mmengine - INFO - Epoch(train) [43][1200/2505] lr: 5.0000e-05 eta: 10:42:29 time: 0.9163 data_time: 0.0253 memory: 32703 grad_norm: 19.4369 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0562 loss: 1.0562 2022/07/30 18:15:34 - mmengine - INFO - Epoch(train) [43][1220/2505] lr: 5.0000e-05 eta: 10:42:10 time: 1.0695 data_time: 0.0309 memory: 32703 grad_norm: 18.4306 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1820 loss: 1.1820 2022/07/30 18:15:52 - mmengine - INFO - Epoch(train) [43][1240/2505] lr: 5.0000e-05 eta: 10:41:50 time: 0.9192 data_time: 0.0273 memory: 32703 grad_norm: 19.0613 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8982 loss: 0.8982 2022/07/30 18:16:12 - mmengine - INFO - Epoch(train) [43][1260/2505] lr: 5.0000e-05 eta: 10:41:30 time: 0.9722 data_time: 0.0267 memory: 32703 grad_norm: 19.0069 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1336 loss: 1.1336 2022/07/30 18:16:31 - mmengine - INFO - Epoch(train) [43][1280/2505] lr: 5.0000e-05 eta: 10:41:10 time: 0.9496 data_time: 0.0280 memory: 32703 grad_norm: 18.7016 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9251 loss: 0.9251 2022/07/30 18:16:51 - mmengine - INFO - Epoch(train) [43][1300/2505] lr: 5.0000e-05 eta: 10:40:50 time: 1.0296 data_time: 0.0296 memory: 32703 grad_norm: 19.3789 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.7939 loss: 0.7939 2022/07/30 18:17:09 - mmengine - INFO - Epoch(train) [43][1320/2505] lr: 5.0000e-05 eta: 10:40:30 time: 0.9084 data_time: 0.0280 memory: 32703 grad_norm: 19.8687 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9595 loss: 0.9595 2022/07/30 18:17:31 - mmengine - INFO - Epoch(train) [43][1340/2505] lr: 5.0000e-05 eta: 10:40:10 time: 1.0818 data_time: 0.0272 memory: 32703 grad_norm: 19.2939 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0493 loss: 1.0493 2022/07/30 18:17:49 - mmengine - INFO - Epoch(train) [43][1360/2505] lr: 5.0000e-05 eta: 10:39:50 time: 0.9017 data_time: 0.0308 memory: 32703 grad_norm: 19.0005 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7819 loss: 0.7819 2022/07/30 18:18:11 - mmengine - INFO - Epoch(train) [43][1380/2505] lr: 5.0000e-05 eta: 10:39:31 time: 1.0740 data_time: 0.0260 memory: 32703 grad_norm: 18.7922 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8727 loss: 0.8727 2022/07/30 18:18:29 - mmengine - INFO - Epoch(train) [43][1400/2505] lr: 5.0000e-05 eta: 10:39:11 time: 0.9452 data_time: 0.0280 memory: 32703 grad_norm: 18.8413 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0204 loss: 1.0204 2022/07/30 18:18:50 - mmengine - INFO - Epoch(train) [43][1420/2505] lr: 5.0000e-05 eta: 10:38:51 time: 1.0295 data_time: 0.0289 memory: 32703 grad_norm: 18.2643 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8961 loss: 0.8961 2022/07/30 18:19:07 - mmengine - INFO - Epoch(train) [43][1440/2505] lr: 5.0000e-05 eta: 10:38:30 time: 0.8493 data_time: 0.0270 memory: 32703 grad_norm: 19.1522 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0135 loss: 1.0135 2022/07/30 18:19:27 - mmengine - INFO - Epoch(train) [43][1460/2505] lr: 5.0000e-05 eta: 10:38:11 time: 1.0143 data_time: 0.0295 memory: 32703 grad_norm: 19.4826 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1057 loss: 1.1057 2022/07/30 18:19:46 - mmengine - INFO - Epoch(train) [43][1480/2505] lr: 5.0000e-05 eta: 10:37:50 time: 0.9275 data_time: 0.0340 memory: 32703 grad_norm: 18.4672 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0217 loss: 1.0217 2022/07/30 18:20:07 - mmengine - INFO - Epoch(train) [43][1500/2505] lr: 5.0000e-05 eta: 10:37:31 time: 1.0356 data_time: 0.0271 memory: 32703 grad_norm: 17.7771 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7641 loss: 0.7641 2022/07/30 18:20:25 - mmengine - INFO - Epoch(train) [43][1520/2505] lr: 5.0000e-05 eta: 10:37:10 time: 0.9189 data_time: 0.0273 memory: 32703 grad_norm: 19.6096 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0571 loss: 1.0571 2022/07/30 18:20:47 - mmengine - INFO - Epoch(train) [43][1540/2505] lr: 5.0000e-05 eta: 10:36:51 time: 1.0882 data_time: 0.0288 memory: 32703 grad_norm: 18.3333 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0621 loss: 1.0621 2022/07/30 18:21:05 - mmengine - INFO - Epoch(train) [43][1560/2505] lr: 5.0000e-05 eta: 10:36:31 time: 0.9255 data_time: 0.0308 memory: 32703 grad_norm: 19.6835 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9732 loss: 0.9732 2022/07/30 18:21:27 - mmengine - INFO - Epoch(train) [43][1580/2505] lr: 5.0000e-05 eta: 10:36:12 time: 1.0682 data_time: 0.0253 memory: 32703 grad_norm: 18.8992 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1903 loss: 1.1903 2022/07/30 18:21:45 - mmengine - INFO - Epoch(train) [43][1600/2505] lr: 5.0000e-05 eta: 10:35:51 time: 0.9096 data_time: 0.0266 memory: 32703 grad_norm: 18.7454 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9959 loss: 0.9959 2022/07/30 18:22:05 - mmengine - INFO - Epoch(train) [43][1620/2505] lr: 5.0000e-05 eta: 10:35:32 time: 1.0194 data_time: 0.0258 memory: 32703 grad_norm: 18.4826 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1170 loss: 1.1170 2022/07/30 18:22:23 - mmengine - INFO - Epoch(train) [43][1640/2505] lr: 5.0000e-05 eta: 10:35:11 time: 0.8727 data_time: 0.0309 memory: 32703 grad_norm: 18.4314 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0555 loss: 1.0555 2022/07/30 18:22:44 - mmengine - INFO - Epoch(train) [43][1660/2505] lr: 5.0000e-05 eta: 10:34:51 time: 1.0471 data_time: 0.0296 memory: 32703 grad_norm: 19.2692 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1868 loss: 1.1868 2022/07/30 18:23:02 - mmengine - INFO - Epoch(train) [43][1680/2505] lr: 5.0000e-05 eta: 10:34:31 time: 0.8949 data_time: 0.0257 memory: 32703 grad_norm: 19.6949 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.3029 loss: 1.3029 2022/07/30 18:23:23 - mmengine - INFO - Epoch(train) [43][1700/2505] lr: 5.0000e-05 eta: 10:34:12 time: 1.0720 data_time: 0.0320 memory: 32703 grad_norm: 18.8183 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1663 loss: 1.1663 2022/07/30 18:23:41 - mmengine - INFO - Epoch(train) [43][1720/2505] lr: 5.0000e-05 eta: 10:33:51 time: 0.8835 data_time: 0.0302 memory: 32703 grad_norm: 18.2336 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0204 loss: 1.0204 2022/07/30 18:24:02 - mmengine - INFO - Epoch(train) [43][1740/2505] lr: 5.0000e-05 eta: 10:33:32 time: 1.0588 data_time: 0.0320 memory: 32703 grad_norm: 18.9309 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9329 loss: 0.9329 2022/07/30 18:24:20 - mmengine - INFO - Epoch(train) [43][1760/2505] lr: 5.0000e-05 eta: 10:33:11 time: 0.9072 data_time: 0.0275 memory: 32703 grad_norm: 18.7249 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8837 loss: 0.8837 2022/07/30 18:24:42 - mmengine - INFO - Epoch(train) [43][1780/2505] lr: 5.0000e-05 eta: 10:32:52 time: 1.0864 data_time: 0.0296 memory: 32703 grad_norm: 18.5692 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9820 loss: 0.9820 2022/07/30 18:24:51 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 18:25:00 - mmengine - INFO - Epoch(train) [43][1800/2505] lr: 5.0000e-05 eta: 10:32:32 time: 0.8902 data_time: 0.0308 memory: 32703 grad_norm: 19.8746 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0885 loss: 1.0885 2022/07/30 18:25:21 - mmengine - INFO - Epoch(train) [43][1820/2505] lr: 5.0000e-05 eta: 10:32:12 time: 1.0704 data_time: 0.0286 memory: 32703 grad_norm: 18.0804 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9232 loss: 0.9232 2022/07/30 18:25:39 - mmengine - INFO - Epoch(train) [43][1840/2505] lr: 5.0000e-05 eta: 10:31:52 time: 0.9058 data_time: 0.0266 memory: 32703 grad_norm: 18.4358 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9285 loss: 0.9285 2022/07/30 18:26:00 - mmengine - INFO - Epoch(train) [43][1860/2505] lr: 5.0000e-05 eta: 10:31:32 time: 1.0363 data_time: 0.0280 memory: 32703 grad_norm: 19.4422 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9286 loss: 0.9286 2022/07/30 18:26:17 - mmengine - INFO - Epoch(train) [43][1880/2505] lr: 5.0000e-05 eta: 10:31:12 time: 0.8751 data_time: 0.0328 memory: 32703 grad_norm: 19.1314 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9133 loss: 0.9133 2022/07/30 18:26:39 - mmengine - INFO - Epoch(train) [43][1900/2505] lr: 5.0000e-05 eta: 10:30:53 time: 1.0869 data_time: 0.0263 memory: 32703 grad_norm: 18.7863 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1355 loss: 1.1355 2022/07/30 18:26:57 - mmengine - INFO - Epoch(train) [43][1920/2505] lr: 5.0000e-05 eta: 10:30:32 time: 0.8917 data_time: 0.0306 memory: 32703 grad_norm: 19.2524 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9198 loss: 0.9198 2022/07/30 18:27:19 - mmengine - INFO - Epoch(train) [43][1940/2505] lr: 5.0000e-05 eta: 10:30:13 time: 1.0954 data_time: 0.0245 memory: 32703 grad_norm: 18.6456 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0055 loss: 1.0055 2022/07/30 18:27:37 - mmengine - INFO - Epoch(train) [43][1960/2505] lr: 5.0000e-05 eta: 10:29:53 time: 0.8992 data_time: 0.0301 memory: 32703 grad_norm: 18.8450 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9230 loss: 0.9230 2022/07/30 18:27:59 - mmengine - INFO - Epoch(train) [43][1980/2505] lr: 5.0000e-05 eta: 10:29:33 time: 1.0903 data_time: 0.0277 memory: 32703 grad_norm: 18.9714 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2476 loss: 1.2476 2022/07/30 18:28:17 - mmengine - INFO - Epoch(train) [43][2000/2505] lr: 5.0000e-05 eta: 10:29:13 time: 0.9011 data_time: 0.0271 memory: 32703 grad_norm: 18.4122 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1465 loss: 1.1465 2022/07/30 18:28:38 - mmengine - INFO - Epoch(train) [43][2020/2505] lr: 5.0000e-05 eta: 10:28:54 time: 1.0648 data_time: 0.0283 memory: 32703 grad_norm: 18.6704 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9560 loss: 0.9560 2022/07/30 18:28:56 - mmengine - INFO - Epoch(train) [43][2040/2505] lr: 5.0000e-05 eta: 10:28:33 time: 0.9218 data_time: 0.0379 memory: 32703 grad_norm: 18.7917 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9438 loss: 0.9438 2022/07/30 18:29:17 - mmengine - INFO - Epoch(train) [43][2060/2505] lr: 5.0000e-05 eta: 10:28:14 time: 1.0162 data_time: 0.0275 memory: 32703 grad_norm: 19.0629 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8334 loss: 0.8334 2022/07/30 18:29:35 - mmengine - INFO - Epoch(train) [43][2080/2505] lr: 5.0000e-05 eta: 10:27:53 time: 0.9154 data_time: 0.0275 memory: 32703 grad_norm: 19.2458 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9422 loss: 0.9422 2022/07/30 18:29:55 - mmengine - INFO - Epoch(train) [43][2100/2505] lr: 5.0000e-05 eta: 10:27:33 time: 0.9728 data_time: 0.0281 memory: 32703 grad_norm: 18.2399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9255 loss: 0.9255 2022/07/30 18:30:14 - mmengine - INFO - Epoch(train) [43][2120/2505] lr: 5.0000e-05 eta: 10:27:13 time: 0.9802 data_time: 0.0275 memory: 32703 grad_norm: 19.5565 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0348 loss: 1.0348 2022/07/30 18:30:34 - mmengine - INFO - Epoch(train) [43][2140/2505] lr: 5.0000e-05 eta: 10:26:54 time: 0.9856 data_time: 0.0305 memory: 32703 grad_norm: 18.9941 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2007 loss: 1.2007 2022/07/30 18:30:53 - mmengine - INFO - Epoch(train) [43][2160/2505] lr: 5.0000e-05 eta: 10:26:33 time: 0.9575 data_time: 0.0284 memory: 32703 grad_norm: 19.5240 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1437 loss: 1.1437 2022/07/30 18:31:13 - mmengine - INFO - Epoch(train) [43][2180/2505] lr: 5.0000e-05 eta: 10:26:14 time: 1.0205 data_time: 0.0282 memory: 32703 grad_norm: 18.9820 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9754 loss: 0.9754 2022/07/30 18:31:31 - mmengine - INFO - Epoch(train) [43][2200/2505] lr: 5.0000e-05 eta: 10:25:53 time: 0.8867 data_time: 0.0279 memory: 32703 grad_norm: 19.0627 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9481 loss: 0.9481 2022/07/30 18:31:51 - mmengine - INFO - Epoch(train) [43][2220/2505] lr: 5.0000e-05 eta: 10:25:34 time: 1.0071 data_time: 0.0276 memory: 32703 grad_norm: 19.4920 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2430 loss: 1.2430 2022/07/30 18:32:11 - mmengine - INFO - Epoch(train) [43][2240/2505] lr: 5.0000e-05 eta: 10:25:14 time: 0.9650 data_time: 0.0270 memory: 32703 grad_norm: 18.0804 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0441 loss: 1.0441 2022/07/30 18:32:32 - mmengine - INFO - Epoch(train) [43][2260/2505] lr: 5.0000e-05 eta: 10:24:54 time: 1.0424 data_time: 0.0325 memory: 32703 grad_norm: 19.3935 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9678 loss: 0.9678 2022/07/30 18:32:50 - mmengine - INFO - Epoch(train) [43][2280/2505] lr: 5.0000e-05 eta: 10:24:34 time: 0.9111 data_time: 0.0267 memory: 32703 grad_norm: 18.9609 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9721 loss: 0.9721 2022/07/30 18:33:11 - mmengine - INFO - Epoch(train) [43][2300/2505] lr: 5.0000e-05 eta: 10:24:14 time: 1.0496 data_time: 0.0299 memory: 32703 grad_norm: 18.9886 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9589 loss: 0.9589 2022/07/30 18:33:28 - mmengine - INFO - Epoch(train) [43][2320/2505] lr: 5.0000e-05 eta: 10:23:54 time: 0.8791 data_time: 0.0282 memory: 32703 grad_norm: 18.2399 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0983 loss: 1.0983 2022/07/30 18:33:49 - mmengine - INFO - Epoch(train) [43][2340/2505] lr: 5.0000e-05 eta: 10:23:34 time: 1.0426 data_time: 0.0256 memory: 32703 grad_norm: 18.5767 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9680 loss: 0.9680 2022/07/30 18:34:07 - mmengine - INFO - Epoch(train) [43][2360/2505] lr: 5.0000e-05 eta: 10:23:14 time: 0.9028 data_time: 0.0271 memory: 32703 grad_norm: 18.7990 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9006 loss: 0.9006 2022/07/30 18:34:29 - mmengine - INFO - Epoch(train) [43][2380/2505] lr: 5.0000e-05 eta: 10:22:55 time: 1.1013 data_time: 0.0271 memory: 32703 grad_norm: 18.6621 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0441 loss: 1.0441 2022/07/30 18:34:47 - mmengine - INFO - Epoch(train) [43][2400/2505] lr: 5.0000e-05 eta: 10:22:34 time: 0.8711 data_time: 0.0281 memory: 32703 grad_norm: 18.3268 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1991 loss: 1.1991 2022/07/30 18:35:09 - mmengine - INFO - Epoch(train) [43][2420/2505] lr: 5.0000e-05 eta: 10:22:15 time: 1.0885 data_time: 0.0255 memory: 32703 grad_norm: 19.5239 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1125 loss: 1.1125 2022/07/30 18:35:27 - mmengine - INFO - Epoch(train) [43][2440/2505] lr: 5.0000e-05 eta: 10:21:55 time: 0.9321 data_time: 0.0298 memory: 32703 grad_norm: 19.0891 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0222 loss: 1.0222 2022/07/30 18:35:49 - mmengine - INFO - Epoch(train) [43][2460/2505] lr: 5.0000e-05 eta: 10:21:35 time: 1.0671 data_time: 0.0306 memory: 32703 grad_norm: 19.2888 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9303 loss: 0.9303 2022/07/30 18:36:07 - mmengine - INFO - Epoch(train) [43][2480/2505] lr: 5.0000e-05 eta: 10:21:15 time: 0.9148 data_time: 0.0315 memory: 32703 grad_norm: 19.0038 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2605 loss: 1.2605 2022/07/30 18:36:25 - mmengine - INFO - Epoch(train) [43][2500/2505] lr: 5.0000e-05 eta: 10:20:54 time: 0.9030 data_time: 0.0275 memory: 32703 grad_norm: 18.9895 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0318 loss: 1.0318 2022/07/30 18:36:28 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 18:36:28 - mmengine - INFO - Epoch(train) [43][2505/2505] lr: 5.0000e-05 eta: 10:20:54 time: 0.7175 data_time: 0.0233 memory: 32703 grad_norm: 19.0585 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0516 loss: 1.0516 2022/07/30 18:36:54 - mmengine - INFO - Epoch(train) [44][20/2505] lr: 5.0000e-05 eta: 10:20:30 time: 1.3276 data_time: 0.6782 memory: 32703 grad_norm: 18.4702 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1838 loss: 1.1838 2022/07/30 18:37:13 - mmengine - INFO - Epoch(train) [44][40/2505] lr: 5.0000e-05 eta: 10:20:10 time: 0.9140 data_time: 0.3080 memory: 32703 grad_norm: 19.1053 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0609 loss: 1.0609 2022/07/30 18:37:34 - mmengine - INFO - Epoch(train) [44][60/2505] lr: 5.0000e-05 eta: 10:19:51 time: 1.0832 data_time: 0.4979 memory: 32703 grad_norm: 18.1233 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0113 loss: 1.0113 2022/07/30 18:37:54 - mmengine - INFO - Epoch(train) [44][80/2505] lr: 5.0000e-05 eta: 10:19:31 time: 0.9742 data_time: 0.3628 memory: 32703 grad_norm: 18.7681 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9989 loss: 0.9989 2022/07/30 18:38:14 - mmengine - INFO - Epoch(train) [44][100/2505] lr: 5.0000e-05 eta: 10:19:11 time: 1.0211 data_time: 0.4414 memory: 32703 grad_norm: 19.7779 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9608 loss: 0.9608 2022/07/30 18:38:33 - mmengine - INFO - Epoch(train) [44][120/2505] lr: 5.0000e-05 eta: 10:18:51 time: 0.9345 data_time: 0.3178 memory: 32703 grad_norm: 19.3226 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9520 loss: 0.9520 2022/07/30 18:38:54 - mmengine - INFO - Epoch(train) [44][140/2505] lr: 5.0000e-05 eta: 10:18:32 time: 1.0466 data_time: 0.4649 memory: 32703 grad_norm: 19.6513 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1090 loss: 1.1090 2022/07/30 18:39:12 - mmengine - INFO - Epoch(train) [44][160/2505] lr: 5.0000e-05 eta: 10:18:11 time: 0.9078 data_time: 0.3168 memory: 32703 grad_norm: 18.8047 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0887 loss: 1.0887 2022/07/30 18:39:34 - mmengine - INFO - Epoch(train) [44][180/2505] lr: 5.0000e-05 eta: 10:17:52 time: 1.1056 data_time: 0.5203 memory: 32703 grad_norm: 19.4882 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9542 loss: 0.9542 2022/07/30 18:39:53 - mmengine - INFO - Epoch(train) [44][200/2505] lr: 5.0000e-05 eta: 10:17:32 time: 0.9304 data_time: 0.3127 memory: 32703 grad_norm: 19.3946 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0620 loss: 1.0620 2022/07/30 18:40:14 - mmengine - INFO - Epoch(train) [44][220/2505] lr: 5.0000e-05 eta: 10:17:13 time: 1.0739 data_time: 0.4854 memory: 32703 grad_norm: 19.2991 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0206 loss: 1.0206 2022/07/30 18:40:33 - mmengine - INFO - Epoch(train) [44][240/2505] lr: 5.0000e-05 eta: 10:16:52 time: 0.9154 data_time: 0.2959 memory: 32703 grad_norm: 18.1844 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9618 loss: 0.9618 2022/07/30 18:40:53 - mmengine - INFO - Epoch(train) [44][260/2505] lr: 5.0000e-05 eta: 10:16:33 time: 1.0238 data_time: 0.4408 memory: 32703 grad_norm: 18.9700 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8614 loss: 0.8614 2022/07/30 18:41:11 - mmengine - INFO - Epoch(train) [44][280/2505] lr: 5.0000e-05 eta: 10:16:12 time: 0.8995 data_time: 0.2907 memory: 32703 grad_norm: 18.0688 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8363 loss: 0.8363 2022/07/30 18:41:17 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 18:41:33 - mmengine - INFO - Epoch(train) [44][300/2505] lr: 5.0000e-05 eta: 10:15:53 time: 1.0763 data_time: 0.4504 memory: 32703 grad_norm: 18.8506 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0429 loss: 1.0429 2022/07/30 18:41:50 - mmengine - INFO - Epoch(train) [44][320/2505] lr: 5.0000e-05 eta: 10:15:32 time: 0.8745 data_time: 0.2811 memory: 32703 grad_norm: 19.6019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1390 loss: 1.1390 2022/07/30 18:42:12 - mmengine - INFO - Epoch(train) [44][340/2505] lr: 5.0000e-05 eta: 10:15:13 time: 1.0801 data_time: 0.4308 memory: 32703 grad_norm: 18.1948 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0712 loss: 1.0712 2022/07/30 18:42:30 - mmengine - INFO - Epoch(train) [44][360/2505] lr: 5.0000e-05 eta: 10:14:53 time: 0.9149 data_time: 0.2382 memory: 32703 grad_norm: 18.3956 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1189 loss: 1.1189 2022/07/30 18:42:52 - mmengine - INFO - Epoch(train) [44][380/2505] lr: 5.0000e-05 eta: 10:14:34 time: 1.0831 data_time: 0.3694 memory: 32703 grad_norm: 19.5631 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9788 loss: 0.9788 2022/07/30 18:43:09 - mmengine - INFO - Epoch(train) [44][400/2505] lr: 5.0000e-05 eta: 10:14:13 time: 0.8749 data_time: 0.1874 memory: 32703 grad_norm: 17.2810 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9303 loss: 0.9303 2022/07/30 18:43:31 - mmengine - INFO - Epoch(train) [44][420/2505] lr: 5.0000e-05 eta: 10:13:54 time: 1.0794 data_time: 0.2165 memory: 32703 grad_norm: 17.9615 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0498 loss: 1.0498 2022/07/30 18:43:49 - mmengine - INFO - Epoch(train) [44][440/2505] lr: 5.0000e-05 eta: 10:13:33 time: 0.8912 data_time: 0.1880 memory: 32703 grad_norm: 18.3862 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9334 loss: 0.9334 2022/07/30 18:44:10 - mmengine - INFO - Epoch(train) [44][460/2505] lr: 5.0000e-05 eta: 10:13:14 time: 1.0527 data_time: 0.3063 memory: 32703 grad_norm: 19.1304 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0631 loss: 1.0631 2022/07/30 18:44:28 - mmengine - INFO - Epoch(train) [44][480/2505] lr: 5.0000e-05 eta: 10:12:53 time: 0.8883 data_time: 0.1366 memory: 32703 grad_norm: 18.3439 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2110 loss: 1.2110 2022/07/30 18:44:49 - mmengine - INFO - Epoch(train) [44][500/2505] lr: 5.0000e-05 eta: 10:12:34 time: 1.0586 data_time: 0.2266 memory: 32703 grad_norm: 18.1122 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9039 loss: 0.9039 2022/07/30 18:45:07 - mmengine - INFO - Epoch(train) [44][520/2505] lr: 5.0000e-05 eta: 10:12:13 time: 0.9117 data_time: 0.1118 memory: 32703 grad_norm: 19.5172 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0937 loss: 1.0937 2022/07/30 18:45:28 - mmengine - INFO - Epoch(train) [44][540/2505] lr: 5.0000e-05 eta: 10:11:54 time: 1.0727 data_time: 0.1620 memory: 32703 grad_norm: 19.1186 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9952 loss: 0.9952 2022/07/30 18:45:48 - mmengine - INFO - Epoch(train) [44][560/2505] lr: 5.0000e-05 eta: 10:11:34 time: 0.9714 data_time: 0.0648 memory: 32703 grad_norm: 18.3880 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0764 loss: 1.0764 2022/07/30 18:46:08 - mmengine - INFO - Epoch(train) [44][580/2505] lr: 5.0000e-05 eta: 10:11:14 time: 0.9950 data_time: 0.0313 memory: 32703 grad_norm: 19.6009 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9183 loss: 0.9183 2022/07/30 18:46:26 - mmengine - INFO - Epoch(train) [44][600/2505] lr: 5.0000e-05 eta: 10:10:54 time: 0.9079 data_time: 0.0388 memory: 32703 grad_norm: 18.3430 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0306 loss: 1.0306 2022/07/30 18:46:46 - mmengine - INFO - Epoch(train) [44][620/2505] lr: 5.0000e-05 eta: 10:10:34 time: 1.0109 data_time: 0.0739 memory: 32703 grad_norm: 19.0181 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9470 loss: 0.9470 2022/07/30 18:47:05 - mmengine - INFO - Epoch(train) [44][640/2505] lr: 5.0000e-05 eta: 10:10:14 time: 0.9420 data_time: 0.2001 memory: 32703 grad_norm: 19.3054 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9434 loss: 0.9434 2022/07/30 18:47:26 - mmengine - INFO - Epoch(train) [44][660/2505] lr: 5.0000e-05 eta: 10:09:55 time: 1.0708 data_time: 0.1418 memory: 32703 grad_norm: 19.1826 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0578 loss: 1.0578 2022/07/30 18:47:44 - mmengine - INFO - Epoch(train) [44][680/2505] lr: 5.0000e-05 eta: 10:09:34 time: 0.8818 data_time: 0.0609 memory: 32703 grad_norm: 18.6337 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8547 loss: 0.8547 2022/07/30 18:48:05 - mmengine - INFO - Epoch(train) [44][700/2505] lr: 5.0000e-05 eta: 10:09:15 time: 1.0308 data_time: 0.0938 memory: 32703 grad_norm: 19.1312 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.9361 loss: 0.9361 2022/07/30 18:48:22 - mmengine - INFO - Epoch(train) [44][720/2505] lr: 5.0000e-05 eta: 10:08:54 time: 0.8881 data_time: 0.1090 memory: 32703 grad_norm: 19.6322 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9085 loss: 0.9085 2022/07/30 18:48:43 - mmengine - INFO - Epoch(train) [44][740/2505] lr: 5.0000e-05 eta: 10:08:35 time: 1.0411 data_time: 0.1294 memory: 32703 grad_norm: 18.5565 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8471 loss: 0.8471 2022/07/30 18:49:02 - mmengine - INFO - Epoch(train) [44][760/2505] lr: 5.0000e-05 eta: 10:08:14 time: 0.9206 data_time: 0.0927 memory: 32703 grad_norm: 18.4610 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9380 loss: 0.9380 2022/07/30 18:49:23 - mmengine - INFO - Epoch(train) [44][780/2505] lr: 5.0000e-05 eta: 10:07:55 time: 1.0758 data_time: 0.0751 memory: 32703 grad_norm: 19.4742 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9674 loss: 0.9674 2022/07/30 18:49:41 - mmengine - INFO - Epoch(train) [44][800/2505] lr: 5.0000e-05 eta: 10:07:35 time: 0.8762 data_time: 0.0254 memory: 32703 grad_norm: 18.6911 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8891 loss: 0.8891 2022/07/30 18:50:02 - mmengine - INFO - Epoch(train) [44][820/2505] lr: 5.0000e-05 eta: 10:07:15 time: 1.0678 data_time: 0.0343 memory: 32703 grad_norm: 18.3648 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8830 loss: 0.8830 2022/07/30 18:50:22 - mmengine - INFO - Epoch(train) [44][840/2505] lr: 5.0000e-05 eta: 10:06:56 time: 1.0029 data_time: 0.0321 memory: 32703 grad_norm: 18.9397 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0902 loss: 1.0902 2022/07/30 18:50:43 - mmengine - INFO - Epoch(train) [44][860/2505] lr: 5.0000e-05 eta: 10:06:36 time: 1.0215 data_time: 0.0280 memory: 32703 grad_norm: 18.5015 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1145 loss: 1.1145 2022/07/30 18:51:01 - mmengine - INFO - Epoch(train) [44][880/2505] lr: 5.0000e-05 eta: 10:06:16 time: 0.9345 data_time: 0.0280 memory: 32703 grad_norm: 18.3636 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9570 loss: 0.9570 2022/07/30 18:51:23 - mmengine - INFO - Epoch(train) [44][900/2505] lr: 5.0000e-05 eta: 10:05:56 time: 1.0802 data_time: 0.0299 memory: 32703 grad_norm: 18.5956 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9520 loss: 0.9520 2022/07/30 18:51:41 - mmengine - INFO - Epoch(train) [44][920/2505] lr: 5.0000e-05 eta: 10:05:36 time: 0.9010 data_time: 0.0292 memory: 32703 grad_norm: 18.4496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8663 loss: 0.8663 2022/07/30 18:52:00 - mmengine - INFO - Epoch(train) [44][940/2505] lr: 5.0000e-05 eta: 10:05:16 time: 0.9429 data_time: 0.0276 memory: 32703 grad_norm: 18.9992 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7276 loss: 0.7276 2022/07/30 18:52:20 - mmengine - INFO - Epoch(train) [44][960/2505] lr: 5.0000e-05 eta: 10:04:56 time: 0.9936 data_time: 0.0317 memory: 32703 grad_norm: 18.4882 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9805 loss: 0.9805 2022/07/30 18:52:39 - mmengine - INFO - Epoch(train) [44][980/2505] lr: 5.0000e-05 eta: 10:04:36 time: 0.9615 data_time: 0.0346 memory: 32703 grad_norm: 18.7961 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0623 loss: 1.0623 2022/07/30 18:52:59 - mmengine - INFO - Epoch(train) [44][1000/2505] lr: 5.0000e-05 eta: 10:04:16 time: 0.9812 data_time: 0.0331 memory: 32703 grad_norm: 18.9795 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9787 loss: 0.9787 2022/07/30 18:53:18 - mmengine - INFO - Epoch(train) [44][1020/2505] lr: 5.0000e-05 eta: 10:03:56 time: 0.9721 data_time: 0.0347 memory: 32703 grad_norm: 19.4870 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1361 loss: 1.1361 2022/07/30 18:53:38 - mmengine - INFO - Epoch(train) [44][1040/2505] lr: 5.0000e-05 eta: 10:03:36 time: 1.0011 data_time: 0.0328 memory: 32703 grad_norm: 19.9240 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8971 loss: 0.8971 2022/07/30 18:53:57 - mmengine - INFO - Epoch(train) [44][1060/2505] lr: 5.0000e-05 eta: 10:03:16 time: 0.9663 data_time: 0.0327 memory: 32703 grad_norm: 19.6608 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0625 loss: 1.0625 2022/07/30 18:54:17 - mmengine - INFO - Epoch(train) [44][1080/2505] lr: 5.0000e-05 eta: 10:02:57 time: 1.0038 data_time: 0.0329 memory: 32703 grad_norm: 18.5890 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1877 loss: 1.1877 2022/07/30 18:54:39 - mmengine - INFO - Epoch(train) [44][1100/2505] lr: 5.0000e-05 eta: 10:02:38 time: 1.0910 data_time: 0.0312 memory: 32703 grad_norm: 18.8758 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9327 loss: 0.9327 2022/07/30 18:54:56 - mmengine - INFO - Epoch(train) [44][1120/2505] lr: 5.0000e-05 eta: 10:02:17 time: 0.8598 data_time: 0.0262 memory: 32703 grad_norm: 19.3952 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9921 loss: 0.9921 2022/07/30 18:55:17 - mmengine - INFO - Epoch(train) [44][1140/2505] lr: 5.0000e-05 eta: 10:01:57 time: 1.0145 data_time: 0.0461 memory: 32703 grad_norm: 19.3165 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.1837 loss: 1.1837 2022/07/30 18:55:37 - mmengine - INFO - Epoch(train) [44][1160/2505] lr: 5.0000e-05 eta: 10:01:38 time: 1.0127 data_time: 0.0293 memory: 32703 grad_norm: 18.7609 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9285 loss: 0.9285 2022/07/30 18:55:56 - mmengine - INFO - Epoch(train) [44][1180/2505] lr: 5.0000e-05 eta: 10:01:17 time: 0.9305 data_time: 0.0305 memory: 32703 grad_norm: 18.3981 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8734 loss: 0.8734 2022/07/30 18:56:15 - mmengine - INFO - Epoch(train) [44][1200/2505] lr: 5.0000e-05 eta: 10:00:57 time: 0.9653 data_time: 0.0315 memory: 32703 grad_norm: 19.0148 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9548 loss: 0.9548 2022/07/30 18:56:34 - mmengine - INFO - Epoch(train) [44][1220/2505] lr: 5.0000e-05 eta: 10:00:37 time: 0.9771 data_time: 0.0319 memory: 32703 grad_norm: 19.5808 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0016 loss: 1.0016 2022/07/30 18:56:52 - mmengine - INFO - Epoch(train) [44][1240/2505] lr: 5.0000e-05 eta: 10:00:17 time: 0.8955 data_time: 0.0557 memory: 32703 grad_norm: 18.6906 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1532 loss: 1.1532 2022/07/30 18:57:14 - mmengine - INFO - Epoch(train) [44][1260/2505] lr: 5.0000e-05 eta: 9:59:58 time: 1.0569 data_time: 0.0592 memory: 32703 grad_norm: 18.6664 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1001 loss: 1.1001 2022/07/30 18:57:32 - mmengine - INFO - Epoch(train) [44][1280/2505] lr: 5.0000e-05 eta: 9:59:37 time: 0.9280 data_time: 0.1694 memory: 32703 grad_norm: 19.1810 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9586 loss: 0.9586 2022/07/30 18:57:38 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 18:57:53 - mmengine - INFO - Epoch(train) [44][1300/2505] lr: 5.0000e-05 eta: 9:59:18 time: 1.0348 data_time: 0.1898 memory: 32703 grad_norm: 19.3581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0042 loss: 1.0042 2022/07/30 18:58:10 - mmengine - INFO - Epoch(train) [44][1320/2505] lr: 5.0000e-05 eta: 9:58:57 time: 0.8854 data_time: 0.0760 memory: 32703 grad_norm: 19.2917 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0121 loss: 1.0121 2022/07/30 18:58:33 - mmengine - INFO - Epoch(train) [44][1340/2505] lr: 5.0000e-05 eta: 9:58:38 time: 1.1062 data_time: 0.0539 memory: 32703 grad_norm: 19.1885 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0062 loss: 1.0062 2022/07/30 18:58:51 - mmengine - INFO - Epoch(train) [44][1360/2505] lr: 5.0000e-05 eta: 9:58:18 time: 0.9186 data_time: 0.1111 memory: 32703 grad_norm: 18.6428 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9432 loss: 0.9432 2022/07/30 18:59:13 - mmengine - INFO - Epoch(train) [44][1380/2505] lr: 5.0000e-05 eta: 9:57:59 time: 1.0744 data_time: 0.2093 memory: 32703 grad_norm: 18.7653 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7863 loss: 0.7863 2022/07/30 18:59:30 - mmengine - INFO - Epoch(train) [44][1400/2505] lr: 5.0000e-05 eta: 9:57:38 time: 0.8963 data_time: 0.1266 memory: 32703 grad_norm: 19.6141 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9350 loss: 0.9350 2022/07/30 18:59:52 - mmengine - INFO - Epoch(train) [44][1420/2505] lr: 5.0000e-05 eta: 9:57:19 time: 1.0611 data_time: 0.2025 memory: 32703 grad_norm: 19.7146 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1722 loss: 1.1722 2022/07/30 19:00:10 - mmengine - INFO - Epoch(train) [44][1440/2505] lr: 5.0000e-05 eta: 9:56:58 time: 0.9294 data_time: 0.1890 memory: 32703 grad_norm: 19.1155 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0995 loss: 1.0995 2022/07/30 19:00:32 - mmengine - INFO - Epoch(train) [44][1460/2505] lr: 5.0000e-05 eta: 9:56:39 time: 1.0925 data_time: 0.2908 memory: 32703 grad_norm: 19.0036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0742 loss: 1.0742 2022/07/30 19:00:49 - mmengine - INFO - Epoch(train) [44][1480/2505] lr: 5.0000e-05 eta: 9:56:19 time: 0.8623 data_time: 0.2419 memory: 32703 grad_norm: 19.2367 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0674 loss: 1.0674 2022/07/30 19:01:12 - mmengine - INFO - Epoch(train) [44][1500/2505] lr: 5.0000e-05 eta: 9:56:00 time: 1.1269 data_time: 0.4481 memory: 32703 grad_norm: 19.4137 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0492 loss: 1.0492 2022/07/30 19:01:29 - mmengine - INFO - Epoch(train) [44][1520/2505] lr: 5.0000e-05 eta: 9:55:39 time: 0.8714 data_time: 0.2503 memory: 32703 grad_norm: 18.6363 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0948 loss: 1.0948 2022/07/30 19:01:51 - mmengine - INFO - Epoch(train) [44][1540/2505] lr: 5.0000e-05 eta: 9:55:20 time: 1.0768 data_time: 0.4593 memory: 32703 grad_norm: 19.0047 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0450 loss: 1.0450 2022/07/30 19:02:09 - mmengine - INFO - Epoch(train) [44][1560/2505] lr: 5.0000e-05 eta: 9:55:00 time: 0.9161 data_time: 0.3284 memory: 32703 grad_norm: 18.7260 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2234 loss: 1.2234 2022/07/30 19:02:31 - mmengine - INFO - Epoch(train) [44][1580/2505] lr: 5.0000e-05 eta: 9:54:40 time: 1.0641 data_time: 0.4630 memory: 32703 grad_norm: 19.0140 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1300 loss: 1.1300 2022/07/30 19:02:48 - mmengine - INFO - Epoch(train) [44][1600/2505] lr: 5.0000e-05 eta: 9:54:20 time: 0.8976 data_time: 0.2934 memory: 32703 grad_norm: 19.1014 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1998 loss: 1.1998 2022/07/30 19:03:10 - mmengine - INFO - Epoch(train) [44][1620/2505] lr: 5.0000e-05 eta: 9:54:00 time: 1.0563 data_time: 0.4632 memory: 32703 grad_norm: 19.0479 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0085 loss: 1.0085 2022/07/30 19:03:28 - mmengine - INFO - Epoch(train) [44][1640/2505] lr: 5.0000e-05 eta: 9:53:40 time: 0.9332 data_time: 0.3298 memory: 32703 grad_norm: 19.1370 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1632 loss: 1.1632 2022/07/30 19:03:49 - mmengine - INFO - Epoch(train) [44][1660/2505] lr: 5.0000e-05 eta: 9:53:21 time: 1.0208 data_time: 0.4035 memory: 32703 grad_norm: 18.5218 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9663 loss: 0.9663 2022/07/30 19:04:07 - mmengine - INFO - Epoch(train) [44][1680/2505] lr: 5.0000e-05 eta: 9:53:00 time: 0.9262 data_time: 0.3168 memory: 32703 grad_norm: 19.0629 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0348 loss: 1.0348 2022/07/30 19:04:27 - mmengine - INFO - Epoch(train) [44][1700/2505] lr: 5.0000e-05 eta: 9:52:40 time: 0.9970 data_time: 0.3835 memory: 32703 grad_norm: 19.5981 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8903 loss: 0.8903 2022/07/30 19:04:46 - mmengine - INFO - Epoch(train) [44][1720/2505] lr: 5.0000e-05 eta: 9:52:20 time: 0.9185 data_time: 0.2196 memory: 32703 grad_norm: 19.5440 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0915 loss: 1.0915 2022/07/30 19:05:06 - mmengine - INFO - Epoch(train) [44][1740/2505] lr: 5.0000e-05 eta: 9:52:01 time: 1.0257 data_time: 0.1637 memory: 32703 grad_norm: 18.6195 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9944 loss: 0.9944 2022/07/30 19:05:24 - mmengine - INFO - Epoch(train) [44][1760/2505] lr: 5.0000e-05 eta: 9:51:40 time: 0.9076 data_time: 0.1545 memory: 32703 grad_norm: 19.2093 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1610 loss: 1.1610 2022/07/30 19:05:46 - mmengine - INFO - Epoch(train) [44][1780/2505] lr: 5.0000e-05 eta: 9:51:21 time: 1.0827 data_time: 0.0907 memory: 32703 grad_norm: 19.6061 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9438 loss: 0.9438 2022/07/30 19:06:04 - mmengine - INFO - Epoch(train) [44][1800/2505] lr: 5.0000e-05 eta: 9:51:01 time: 0.9017 data_time: 0.0291 memory: 32703 grad_norm: 18.0278 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9892 loss: 0.9892 2022/07/30 19:06:25 - mmengine - INFO - Epoch(train) [44][1820/2505] lr: 5.0000e-05 eta: 9:50:41 time: 1.0704 data_time: 0.0569 memory: 32703 grad_norm: 18.9892 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9339 loss: 0.9339 2022/07/30 19:06:44 - mmengine - INFO - Epoch(train) [44][1840/2505] lr: 5.0000e-05 eta: 9:50:21 time: 0.9391 data_time: 0.0256 memory: 32703 grad_norm: 19.5921 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8880 loss: 0.8880 2022/07/30 19:07:05 - mmengine - INFO - Epoch(train) [44][1860/2505] lr: 5.0000e-05 eta: 9:50:02 time: 1.0449 data_time: 0.0301 memory: 32703 grad_norm: 19.6795 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9976 loss: 0.9976 2022/07/30 19:07:23 - mmengine - INFO - Epoch(train) [44][1880/2505] lr: 5.0000e-05 eta: 9:49:41 time: 0.8922 data_time: 0.0612 memory: 32703 grad_norm: 19.2259 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1953 loss: 1.1953 2022/07/30 19:07:44 - mmengine - INFO - Epoch(train) [44][1900/2505] lr: 5.0000e-05 eta: 9:49:22 time: 1.0656 data_time: 0.1700 memory: 32703 grad_norm: 19.2114 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2704 loss: 1.2704 2022/07/30 19:08:02 - mmengine - INFO - Epoch(train) [44][1920/2505] lr: 5.0000e-05 eta: 9:49:01 time: 0.8890 data_time: 0.1044 memory: 32703 grad_norm: 18.7440 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9805 loss: 0.9805 2022/07/30 19:08:23 - mmengine - INFO - Epoch(train) [44][1940/2505] lr: 5.0000e-05 eta: 9:48:42 time: 1.0411 data_time: 0.1941 memory: 32703 grad_norm: 18.4445 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0300 loss: 1.0300 2022/07/30 19:08:41 - mmengine - INFO - Epoch(train) [44][1960/2505] lr: 5.0000e-05 eta: 9:48:21 time: 0.9049 data_time: 0.1468 memory: 32703 grad_norm: 18.5877 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9567 loss: 0.9567 2022/07/30 19:09:01 - mmengine - INFO - Epoch(train) [44][1980/2505] lr: 5.0000e-05 eta: 9:48:02 time: 1.0080 data_time: 0.3704 memory: 32703 grad_norm: 18.8914 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9218 loss: 0.9218 2022/07/30 19:09:20 - mmengine - INFO - Epoch(train) [44][2000/2505] lr: 5.0000e-05 eta: 9:47:41 time: 0.9255 data_time: 0.3011 memory: 32703 grad_norm: 18.8888 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.3068 loss: 1.3068 2022/07/30 19:09:41 - mmengine - INFO - Epoch(train) [44][2020/2505] lr: 5.0000e-05 eta: 9:47:22 time: 1.0565 data_time: 0.3616 memory: 32703 grad_norm: 19.2815 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 1.0435 loss: 1.0435 2022/07/30 19:10:00 - mmengine - INFO - Epoch(train) [44][2040/2505] lr: 5.0000e-05 eta: 9:47:02 time: 0.9462 data_time: 0.1342 memory: 32703 grad_norm: 19.0105 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0109 loss: 1.0109 2022/07/30 19:10:21 - mmengine - INFO - Epoch(train) [44][2060/2505] lr: 5.0000e-05 eta: 9:46:43 time: 1.0752 data_time: 0.1069 memory: 32703 grad_norm: 18.7613 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2152 loss: 1.2152 2022/07/30 19:10:39 - mmengine - INFO - Epoch(train) [44][2080/2505] lr: 5.0000e-05 eta: 9:46:22 time: 0.8845 data_time: 0.0821 memory: 32703 grad_norm: 18.7678 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1156 loss: 1.1156 2022/07/30 19:11:00 - mmengine - INFO - Epoch(train) [44][2100/2505] lr: 5.0000e-05 eta: 9:46:03 time: 1.0575 data_time: 0.2446 memory: 32703 grad_norm: 18.6134 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0180 loss: 1.0180 2022/07/30 19:11:18 - mmengine - INFO - Epoch(train) [44][2120/2505] lr: 5.0000e-05 eta: 9:45:42 time: 0.9092 data_time: 0.1948 memory: 32703 grad_norm: 18.6042 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9224 loss: 0.9224 2022/07/30 19:11:39 - mmengine - INFO - Epoch(train) [44][2140/2505] lr: 5.0000e-05 eta: 9:45:23 time: 1.0295 data_time: 0.2529 memory: 32703 grad_norm: 19.4643 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9099 loss: 0.9099 2022/07/30 19:11:56 - mmengine - INFO - Epoch(train) [44][2160/2505] lr: 5.0000e-05 eta: 9:45:02 time: 0.8761 data_time: 0.2472 memory: 32703 grad_norm: 19.2174 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0659 loss: 1.0659 2022/07/30 19:12:18 - mmengine - INFO - Epoch(train) [44][2180/2505] lr: 5.0000e-05 eta: 9:44:43 time: 1.0632 data_time: 0.4453 memory: 32703 grad_norm: 18.6870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1046 loss: 1.1046 2022/07/30 19:12:36 - mmengine - INFO - Epoch(train) [44][2200/2505] lr: 5.0000e-05 eta: 9:44:23 time: 0.9102 data_time: 0.2507 memory: 32703 grad_norm: 18.4844 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0470 loss: 1.0470 2022/07/30 19:12:57 - mmengine - INFO - Epoch(train) [44][2220/2505] lr: 5.0000e-05 eta: 9:44:03 time: 1.0493 data_time: 0.4458 memory: 32703 grad_norm: 19.0750 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 0.9748 loss: 0.9748 2022/07/30 19:13:15 - mmengine - INFO - Epoch(train) [44][2240/2505] lr: 5.0000e-05 eta: 9:43:43 time: 0.8935 data_time: 0.3083 memory: 32703 grad_norm: 19.1345 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7784 loss: 0.7784 2022/07/30 19:13:36 - mmengine - INFO - Epoch(train) [44][2260/2505] lr: 5.0000e-05 eta: 9:43:23 time: 1.0726 data_time: 0.4755 memory: 32703 grad_norm: 18.8836 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0086 loss: 1.0086 2022/07/30 19:13:54 - mmengine - INFO - Epoch(train) [44][2280/2505] lr: 5.0000e-05 eta: 9:43:03 time: 0.8993 data_time: 0.3008 memory: 32703 grad_norm: 19.2909 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9245 loss: 0.9245 2022/07/30 19:14:00 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 19:14:16 - mmengine - INFO - Epoch(train) [44][2300/2505] lr: 5.0000e-05 eta: 9:42:44 time: 1.0783 data_time: 0.4717 memory: 32703 grad_norm: 19.1540 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9039 loss: 0.9039 2022/07/30 19:14:34 - mmengine - INFO - Epoch(train) [44][2320/2505] lr: 5.0000e-05 eta: 9:42:23 time: 0.9068 data_time: 0.3177 memory: 32703 grad_norm: 19.1668 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0737 loss: 1.0737 2022/07/30 19:14:55 - mmengine - INFO - Epoch(train) [44][2340/2505] lr: 5.0000e-05 eta: 9:42:04 time: 1.0371 data_time: 0.4214 memory: 32703 grad_norm: 19.3090 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9365 loss: 0.9365 2022/07/30 19:15:13 - mmengine - INFO - Epoch(train) [44][2360/2505] lr: 5.0000e-05 eta: 9:41:43 time: 0.8997 data_time: 0.2931 memory: 32703 grad_norm: 19.6596 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0525 loss: 1.0525 2022/07/30 19:15:33 - mmengine - INFO - Epoch(train) [44][2380/2505] lr: 5.0000e-05 eta: 9:41:24 time: 0.9982 data_time: 0.2815 memory: 32703 grad_norm: 19.2264 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0072 loss: 1.0072 2022/07/30 19:15:52 - mmengine - INFO - Epoch(train) [44][2400/2505] lr: 5.0000e-05 eta: 9:41:04 time: 0.9890 data_time: 0.2107 memory: 32703 grad_norm: 19.2614 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9217 loss: 0.9217 2022/07/30 19:16:13 - mmengine - INFO - Epoch(train) [44][2420/2505] lr: 5.0000e-05 eta: 9:40:44 time: 1.0023 data_time: 0.3281 memory: 32703 grad_norm: 18.6137 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8453 loss: 0.8453 2022/07/30 19:16:31 - mmengine - INFO - Epoch(train) [44][2440/2505] lr: 5.0000e-05 eta: 9:40:24 time: 0.9187 data_time: 0.2867 memory: 32703 grad_norm: 18.8040 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8606 loss: 0.8606 2022/07/30 19:16:52 - mmengine - INFO - Epoch(train) [44][2460/2505] lr: 5.0000e-05 eta: 9:40:04 time: 1.0281 data_time: 0.4067 memory: 32703 grad_norm: 18.7834 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9149 loss: 0.9149 2022/07/30 19:17:10 - mmengine - INFO - Epoch(train) [44][2480/2505] lr: 5.0000e-05 eta: 9:39:44 time: 0.9370 data_time: 0.3162 memory: 32703 grad_norm: 19.9333 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8660 loss: 0.8660 2022/07/30 19:17:28 - mmengine - INFO - Epoch(train) [44][2500/2505] lr: 5.0000e-05 eta: 9:39:23 time: 0.8855 data_time: 0.2151 memory: 32703 grad_norm: 19.4531 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1489 loss: 1.1489 2022/07/30 19:17:31 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 19:17:31 - mmengine - INFO - Epoch(train) [44][2505/2505] lr: 5.0000e-05 eta: 9:39:23 time: 0.7730 data_time: 0.1226 memory: 32703 grad_norm: 19.8809 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2107 loss: 1.2107 2022/07/30 19:17:31 - mmengine - INFO - Saving checkpoint at 44 epochs 2022/07/30 19:18:00 - mmengine - INFO - Epoch(train) [45][20/2505] lr: 5.0000e-05 eta: 9:38:58 time: 1.1944 data_time: 0.5773 memory: 32703 grad_norm: 19.8787 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0235 loss: 1.0235 2022/07/30 19:18:19 - mmengine - INFO - Epoch(train) [45][40/2505] lr: 5.0000e-05 eta: 9:38:38 time: 0.9344 data_time: 0.3531 memory: 32703 grad_norm: 18.9473 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9890 loss: 0.9890 2022/07/30 19:18:39 - mmengine - INFO - Epoch(train) [45][60/2505] lr: 5.0000e-05 eta: 9:38:19 time: 1.0271 data_time: 0.4241 memory: 32703 grad_norm: 18.5398 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0509 loss: 1.0509 2022/07/30 19:18:57 - mmengine - INFO - Epoch(train) [45][80/2505] lr: 5.0000e-05 eta: 9:37:58 time: 0.8834 data_time: 0.2766 memory: 32703 grad_norm: 18.8190 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0346 loss: 1.0346 2022/07/30 19:19:18 - mmengine - INFO - Epoch(train) [45][100/2505] lr: 5.0000e-05 eta: 9:37:39 time: 1.0622 data_time: 0.4422 memory: 32703 grad_norm: 19.3625 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9350 loss: 0.9350 2022/07/30 19:19:36 - mmengine - INFO - Epoch(train) [45][120/2505] lr: 5.0000e-05 eta: 9:37:18 time: 0.8906 data_time: 0.2708 memory: 32703 grad_norm: 19.2076 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.0674 loss: 1.0674 2022/07/30 19:19:57 - mmengine - INFO - Epoch(train) [45][140/2505] lr: 5.0000e-05 eta: 9:36:59 time: 1.0623 data_time: 0.4620 memory: 32703 grad_norm: 18.4038 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9209 loss: 0.9209 2022/07/30 19:20:16 - mmengine - INFO - Epoch(train) [45][160/2505] lr: 5.0000e-05 eta: 9:36:39 time: 0.9454 data_time: 0.3248 memory: 32703 grad_norm: 19.3146 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9931 loss: 0.9931 2022/07/30 19:20:38 - mmengine - INFO - Epoch(train) [45][180/2505] lr: 5.0000e-05 eta: 9:36:20 time: 1.0782 data_time: 0.4716 memory: 32703 grad_norm: 18.9253 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0374 loss: 1.0374 2022/07/30 19:20:56 - mmengine - INFO - Epoch(train) [45][200/2505] lr: 5.0000e-05 eta: 9:35:59 time: 0.9110 data_time: 0.2962 memory: 32703 grad_norm: 18.7887 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9134 loss: 0.9134 2022/07/30 19:21:17 - mmengine - INFO - Epoch(train) [45][220/2505] lr: 5.0000e-05 eta: 9:35:40 time: 1.0412 data_time: 0.4318 memory: 32703 grad_norm: 19.1158 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9280 loss: 0.9280 2022/07/30 19:21:35 - mmengine - INFO - Epoch(train) [45][240/2505] lr: 5.0000e-05 eta: 9:35:19 time: 0.9044 data_time: 0.2934 memory: 32703 grad_norm: 19.7139 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0358 loss: 1.0358 2022/07/30 19:21:56 - mmengine - INFO - Epoch(train) [45][260/2505] lr: 5.0000e-05 eta: 9:35:00 time: 1.0351 data_time: 0.4117 memory: 32703 grad_norm: 19.5005 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1103 loss: 1.1103 2022/07/30 19:22:14 - mmengine - INFO - Epoch(train) [45][280/2505] lr: 5.0000e-05 eta: 9:34:39 time: 0.9029 data_time: 0.2912 memory: 32703 grad_norm: 19.1779 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9676 loss: 0.9676 2022/07/30 19:22:35 - mmengine - INFO - Epoch(train) [45][300/2505] lr: 5.0000e-05 eta: 9:34:20 time: 1.0610 data_time: 0.4460 memory: 32703 grad_norm: 20.1692 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9852 loss: 0.9852 2022/07/30 19:22:52 - mmengine - INFO - Epoch(train) [45][320/2505] lr: 5.0000e-05 eta: 9:33:59 time: 0.8710 data_time: 0.2559 memory: 32703 grad_norm: 19.2931 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9262 loss: 0.9262 2022/07/30 19:23:13 - mmengine - INFO - Epoch(train) [45][340/2505] lr: 5.0000e-05 eta: 9:33:40 time: 1.0329 data_time: 0.4269 memory: 32703 grad_norm: 18.6299 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0391 loss: 1.0391 2022/07/30 19:23:32 - mmengine - INFO - Epoch(train) [45][360/2505] lr: 5.0000e-05 eta: 9:33:20 time: 0.9345 data_time: 0.2662 memory: 32703 grad_norm: 19.1921 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9905 loss: 0.9905 2022/07/30 19:23:51 - mmengine - INFO - Epoch(train) [45][380/2505] lr: 5.0000e-05 eta: 9:33:00 time: 0.9805 data_time: 0.2091 memory: 32703 grad_norm: 18.9751 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8685 loss: 0.8685 2022/07/30 19:24:11 - mmengine - INFO - Epoch(train) [45][400/2505] lr: 5.0000e-05 eta: 9:32:40 time: 0.9746 data_time: 0.1615 memory: 32703 grad_norm: 19.5433 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0189 loss: 1.0189 2022/07/30 19:24:31 - mmengine - INFO - Epoch(train) [45][420/2505] lr: 5.0000e-05 eta: 9:32:20 time: 1.0057 data_time: 0.3812 memory: 32703 grad_norm: 19.9119 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9943 loss: 0.9943 2022/07/30 19:24:50 - mmengine - INFO - Epoch(train) [45][440/2505] lr: 5.0000e-05 eta: 9:32:00 time: 0.9334 data_time: 0.2717 memory: 32703 grad_norm: 19.4658 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7997 loss: 0.7997 2022/07/30 19:25:11 - mmengine - INFO - Epoch(train) [45][460/2505] lr: 5.0000e-05 eta: 9:31:41 time: 1.0562 data_time: 0.4396 memory: 32703 grad_norm: 18.3144 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0597 loss: 1.0597 2022/07/30 19:25:30 - mmengine - INFO - Epoch(train) [45][480/2505] lr: 5.0000e-05 eta: 9:31:20 time: 0.9497 data_time: 0.3345 memory: 32703 grad_norm: 18.6271 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0027 loss: 1.0027 2022/07/30 19:25:50 - mmengine - INFO - Epoch(train) [45][500/2505] lr: 5.0000e-05 eta: 9:31:01 time: 1.0190 data_time: 0.3904 memory: 32703 grad_norm: 19.1391 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0119 loss: 1.0119 2022/07/30 19:26:09 - mmengine - INFO - Epoch(train) [45][520/2505] lr: 5.0000e-05 eta: 9:30:41 time: 0.9238 data_time: 0.2894 memory: 32703 grad_norm: 18.5202 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2373 loss: 1.2373 2022/07/30 19:26:29 - mmengine - INFO - Epoch(train) [45][540/2505] lr: 5.0000e-05 eta: 9:30:21 time: 1.0301 data_time: 0.3137 memory: 32703 grad_norm: 19.8009 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1251 loss: 1.1251 2022/07/30 19:26:49 - mmengine - INFO - Epoch(train) [45][560/2505] lr: 5.0000e-05 eta: 9:30:01 time: 0.9748 data_time: 0.2075 memory: 32703 grad_norm: 18.6114 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8083 loss: 0.8083 2022/07/30 19:27:09 - mmengine - INFO - Epoch(train) [45][580/2505] lr: 5.0000e-05 eta: 9:29:42 time: 1.0269 data_time: 0.3823 memory: 32703 grad_norm: 17.6566 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9447 loss: 0.9447 2022/07/30 19:27:29 - mmengine - INFO - Epoch(train) [45][600/2505] lr: 5.0000e-05 eta: 9:29:22 time: 0.9660 data_time: 0.2014 memory: 32703 grad_norm: 19.2180 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.7706 loss: 0.7706 2022/07/30 19:27:48 - mmengine - INFO - Epoch(train) [45][620/2505] lr: 5.0000e-05 eta: 9:29:02 time: 0.9716 data_time: 0.2559 memory: 32703 grad_norm: 20.0052 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0245 loss: 1.0245 2022/07/30 19:28:08 - mmengine - INFO - Epoch(train) [45][640/2505] lr: 5.0000e-05 eta: 9:28:42 time: 0.9993 data_time: 0.1769 memory: 32703 grad_norm: 19.0166 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0224 loss: 1.0224 2022/07/30 19:28:29 - mmengine - INFO - Epoch(train) [45][660/2505] lr: 5.0000e-05 eta: 9:28:22 time: 1.0245 data_time: 0.2761 memory: 32703 grad_norm: 19.5943 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.1192 loss: 1.1192 2022/07/30 19:28:47 - mmengine - INFO - Epoch(train) [45][680/2505] lr: 5.0000e-05 eta: 9:28:02 time: 0.9006 data_time: 0.2428 memory: 32703 grad_norm: 18.6189 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0945 loss: 1.0945 2022/07/30 19:29:07 - mmengine - INFO - Epoch(train) [45][700/2505] lr: 5.0000e-05 eta: 9:27:42 time: 1.0091 data_time: 0.3246 memory: 32703 grad_norm: 19.3023 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0425 loss: 1.0425 2022/07/30 19:29:25 - mmengine - INFO - Epoch(train) [45][720/2505] lr: 5.0000e-05 eta: 9:27:22 time: 0.9225 data_time: 0.1996 memory: 32703 grad_norm: 19.9059 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9072 loss: 0.9072 2022/07/30 19:29:45 - mmengine - INFO - Epoch(train) [45][740/2505] lr: 5.0000e-05 eta: 9:27:02 time: 0.9918 data_time: 0.2868 memory: 32703 grad_norm: 18.6666 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9148 loss: 0.9148 2022/07/30 19:30:06 - mmengine - INFO - Epoch(train) [45][760/2505] lr: 5.0000e-05 eta: 9:26:43 time: 1.0352 data_time: 0.1176 memory: 32703 grad_norm: 18.3012 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9243 loss: 0.9243 2022/07/30 19:30:24 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 19:30:24 - mmengine - INFO - Epoch(train) [45][780/2505] lr: 5.0000e-05 eta: 9:26:22 time: 0.9005 data_time: 0.0388 memory: 32703 grad_norm: 18.6515 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1363 loss: 1.1363 2022/07/30 19:30:45 - mmengine - INFO - Epoch(train) [45][800/2505] lr: 5.0000e-05 eta: 9:26:03 time: 1.0790 data_time: 0.0485 memory: 32703 grad_norm: 19.1389 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9940 loss: 0.9940 2022/07/30 19:31:04 - mmengine - INFO - Epoch(train) [45][820/2505] lr: 5.0000e-05 eta: 9:25:43 time: 0.9199 data_time: 0.0354 memory: 32703 grad_norm: 19.3854 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0789 loss: 1.0789 2022/07/30 19:31:25 - mmengine - INFO - Epoch(train) [45][840/2505] lr: 5.0000e-05 eta: 9:25:23 time: 1.0796 data_time: 0.0374 memory: 32703 grad_norm: 19.0568 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0438 loss: 1.0438 2022/07/30 19:31:43 - mmengine - INFO - Epoch(train) [45][860/2505] lr: 5.0000e-05 eta: 9:25:03 time: 0.8963 data_time: 0.0277 memory: 32703 grad_norm: 19.6585 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9410 loss: 0.9410 2022/07/30 19:32:04 - mmengine - INFO - Epoch(train) [45][880/2505] lr: 5.0000e-05 eta: 9:24:43 time: 1.0148 data_time: 0.0269 memory: 32703 grad_norm: 19.5196 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.2247 loss: 1.2247 2022/07/30 19:32:22 - mmengine - INFO - Epoch(train) [45][900/2505] lr: 5.0000e-05 eta: 9:24:23 time: 0.9350 data_time: 0.0286 memory: 32703 grad_norm: 18.1874 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1104 loss: 1.1104 2022/07/30 19:32:42 - mmengine - INFO - Epoch(train) [45][920/2505] lr: 5.0000e-05 eta: 9:24:03 time: 0.9732 data_time: 0.0251 memory: 32703 grad_norm: 18.5691 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0011 loss: 1.0011 2022/07/30 19:33:01 - mmengine - INFO - Epoch(train) [45][940/2505] lr: 5.0000e-05 eta: 9:23:43 time: 0.9651 data_time: 0.0791 memory: 32703 grad_norm: 19.0927 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9119 loss: 0.9119 2022/07/30 19:33:20 - mmengine - INFO - Epoch(train) [45][960/2505] lr: 5.0000e-05 eta: 9:23:23 time: 0.9515 data_time: 0.1425 memory: 32703 grad_norm: 19.0340 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1098 loss: 1.1098 2022/07/30 19:33:40 - mmengine - INFO - Epoch(train) [45][980/2505] lr: 5.0000e-05 eta: 9:23:03 time: 0.9894 data_time: 0.2969 memory: 32703 grad_norm: 19.5700 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0032 loss: 1.0032 2022/07/30 19:34:00 - mmengine - INFO - Epoch(train) [45][1000/2505] lr: 5.0000e-05 eta: 9:22:43 time: 0.9824 data_time: 0.1917 memory: 32703 grad_norm: 20.0590 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9263 loss: 0.9263 2022/07/30 19:34:19 - mmengine - INFO - Epoch(train) [45][1020/2505] lr: 5.0000e-05 eta: 9:22:23 time: 0.9698 data_time: 0.2107 memory: 32703 grad_norm: 19.6241 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9881 loss: 0.9881 2022/07/30 19:34:39 - mmengine - INFO - Epoch(train) [45][1040/2505] lr: 5.0000e-05 eta: 9:22:04 time: 0.9741 data_time: 0.1465 memory: 32703 grad_norm: 18.5461 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7461 loss: 0.7461 2022/07/30 19:34:58 - mmengine - INFO - Epoch(train) [45][1060/2505] lr: 5.0000e-05 eta: 9:21:44 time: 0.9779 data_time: 0.2640 memory: 32703 grad_norm: 18.5807 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9158 loss: 0.9158 2022/07/30 19:35:18 - mmengine - INFO - Epoch(train) [45][1080/2505] lr: 5.0000e-05 eta: 9:21:24 time: 0.9806 data_time: 0.1876 memory: 32703 grad_norm: 18.9481 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9290 loss: 0.9290 2022/07/30 19:35:38 - mmengine - INFO - Epoch(train) [45][1100/2505] lr: 5.0000e-05 eta: 9:21:04 time: 0.9913 data_time: 0.2015 memory: 32703 grad_norm: 18.8113 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8293 loss: 0.8293 2022/07/30 19:35:57 - mmengine - INFO - Epoch(train) [45][1120/2505] lr: 5.0000e-05 eta: 9:20:44 time: 0.9784 data_time: 0.2064 memory: 32703 grad_norm: 19.0790 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2040 loss: 1.2040 2022/07/30 19:36:18 - mmengine - INFO - Epoch(train) [45][1140/2505] lr: 5.0000e-05 eta: 9:20:24 time: 1.0319 data_time: 0.4010 memory: 32703 grad_norm: 19.5646 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1376 loss: 1.1376 2022/07/30 19:36:36 - mmengine - INFO - Epoch(train) [45][1160/2505] lr: 5.0000e-05 eta: 9:20:04 time: 0.8928 data_time: 0.2748 memory: 32703 grad_norm: 18.9739 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1084 loss: 1.1084 2022/07/30 19:36:56 - mmengine - INFO - Epoch(train) [45][1180/2505] lr: 5.0000e-05 eta: 9:19:44 time: 1.0370 data_time: 0.1590 memory: 32703 grad_norm: 19.2345 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1898 loss: 1.1898 2022/07/30 19:37:16 - mmengine - INFO - Epoch(train) [45][1200/2505] lr: 5.0000e-05 eta: 9:19:24 time: 0.9550 data_time: 0.1272 memory: 32703 grad_norm: 19.4425 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1141 loss: 1.1141 2022/07/30 19:37:35 - mmengine - INFO - Epoch(train) [45][1220/2505] lr: 5.0000e-05 eta: 9:19:05 time: 0.9878 data_time: 0.0468 memory: 32703 grad_norm: 18.7543 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8907 loss: 0.8907 2022/07/30 19:37:54 - mmengine - INFO - Epoch(train) [45][1240/2505] lr: 5.0000e-05 eta: 9:18:44 time: 0.9353 data_time: 0.0328 memory: 32703 grad_norm: 19.6504 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0732 loss: 1.0732 2022/07/30 19:38:15 - mmengine - INFO - Epoch(train) [45][1260/2505] lr: 5.0000e-05 eta: 9:18:25 time: 1.0269 data_time: 0.0852 memory: 32703 grad_norm: 19.2839 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9295 loss: 0.9295 2022/07/30 19:38:33 - mmengine - INFO - Epoch(train) [45][1280/2505] lr: 5.0000e-05 eta: 9:18:05 time: 0.9134 data_time: 0.0559 memory: 32703 grad_norm: 19.3671 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1990 loss: 1.1990 2022/07/30 19:38:53 - mmengine - INFO - Epoch(train) [45][1300/2505] lr: 5.0000e-05 eta: 9:17:45 time: 1.0101 data_time: 0.0752 memory: 32703 grad_norm: 18.2624 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0519 loss: 1.0519 2022/07/30 19:39:12 - mmengine - INFO - Epoch(train) [45][1320/2505] lr: 5.0000e-05 eta: 9:17:25 time: 0.9694 data_time: 0.1145 memory: 32703 grad_norm: 18.1788 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8979 loss: 0.8979 2022/07/30 19:39:33 - mmengine - INFO - Epoch(train) [45][1340/2505] lr: 5.0000e-05 eta: 9:17:05 time: 1.0047 data_time: 0.0676 memory: 32703 grad_norm: 17.9321 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 0.9978 loss: 0.9978 2022/07/30 19:39:51 - mmengine - INFO - Epoch(train) [45][1360/2505] lr: 5.0000e-05 eta: 9:16:45 time: 0.9102 data_time: 0.0553 memory: 32703 grad_norm: 18.9900 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9281 loss: 0.9281 2022/07/30 19:40:12 - mmengine - INFO - Epoch(train) [45][1380/2505] lr: 5.0000e-05 eta: 9:16:25 time: 1.0653 data_time: 0.0569 memory: 32703 grad_norm: 18.9970 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7468 loss: 0.7468 2022/07/30 19:40:31 - mmengine - INFO - Epoch(train) [45][1400/2505] lr: 5.0000e-05 eta: 9:16:06 time: 0.9625 data_time: 0.1466 memory: 32703 grad_norm: 18.9233 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9420 loss: 0.9420 2022/07/30 19:40:51 - mmengine - INFO - Epoch(train) [45][1420/2505] lr: 5.0000e-05 eta: 9:15:46 time: 0.9884 data_time: 0.1075 memory: 32703 grad_norm: 18.6848 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9639 loss: 0.9639 2022/07/30 19:41:10 - mmengine - INFO - Epoch(train) [45][1440/2505] lr: 5.0000e-05 eta: 9:15:26 time: 0.9514 data_time: 0.1496 memory: 32703 grad_norm: 18.4443 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0602 loss: 1.0602 2022/07/30 19:41:31 - mmengine - INFO - Epoch(train) [45][1460/2505] lr: 5.0000e-05 eta: 9:15:06 time: 1.0487 data_time: 0.2528 memory: 32703 grad_norm: 18.9893 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0924 loss: 1.0924 2022/07/30 19:41:50 - mmengine - INFO - Epoch(train) [45][1480/2505] lr: 5.0000e-05 eta: 9:14:46 time: 0.9372 data_time: 0.2365 memory: 32703 grad_norm: 19.2884 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0538 loss: 1.0538 2022/07/30 19:42:10 - mmengine - INFO - Epoch(train) [45][1500/2505] lr: 5.0000e-05 eta: 9:14:26 time: 1.0108 data_time: 0.2597 memory: 32703 grad_norm: 19.9431 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 0.9596 loss: 0.9596 2022/07/30 19:42:30 - mmengine - INFO - Epoch(train) [45][1520/2505] lr: 5.0000e-05 eta: 9:14:07 time: 0.9999 data_time: 0.1179 memory: 32703 grad_norm: 18.7872 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8397 loss: 0.8397 2022/07/30 19:42:49 - mmengine - INFO - Epoch(train) [45][1540/2505] lr: 5.0000e-05 eta: 9:13:47 time: 0.9673 data_time: 0.0699 memory: 32703 grad_norm: 19.5768 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8913 loss: 0.8913 2022/07/30 19:43:10 - mmengine - INFO - Epoch(train) [45][1560/2505] lr: 5.0000e-05 eta: 9:13:27 time: 1.0033 data_time: 0.0703 memory: 32703 grad_norm: 18.6097 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9048 loss: 0.9048 2022/07/30 19:43:29 - mmengine - INFO - Epoch(train) [45][1580/2505] lr: 5.0000e-05 eta: 9:13:07 time: 0.9569 data_time: 0.0944 memory: 32703 grad_norm: 18.7231 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0875 loss: 1.0875 2022/07/30 19:43:47 - mmengine - INFO - Epoch(train) [45][1600/2505] lr: 5.0000e-05 eta: 9:12:47 time: 0.9417 data_time: 0.1810 memory: 32703 grad_norm: 19.4275 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9784 loss: 0.9784 2022/07/30 19:44:08 - mmengine - INFO - Epoch(train) [45][1620/2505] lr: 5.0000e-05 eta: 9:12:27 time: 1.0007 data_time: 0.1809 memory: 32703 grad_norm: 18.3203 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9092 loss: 0.9092 2022/07/30 19:44:27 - mmengine - INFO - Epoch(train) [45][1640/2505] lr: 5.0000e-05 eta: 9:12:07 time: 0.9882 data_time: 0.0728 memory: 32703 grad_norm: 19.5091 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1676 loss: 1.1676 2022/07/30 19:44:46 - mmengine - INFO - Epoch(train) [45][1660/2505] lr: 5.0000e-05 eta: 9:11:47 time: 0.9348 data_time: 0.0366 memory: 32703 grad_norm: 18.6435 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9141 loss: 0.9141 2022/07/30 19:45:06 - mmengine - INFO - Epoch(train) [45][1680/2505] lr: 5.0000e-05 eta: 9:11:27 time: 0.9854 data_time: 0.0885 memory: 32703 grad_norm: 18.9549 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9545 loss: 0.9545 2022/07/30 19:45:26 - mmengine - INFO - Epoch(train) [45][1700/2505] lr: 5.0000e-05 eta: 9:11:07 time: 1.0048 data_time: 0.1650 memory: 32703 grad_norm: 19.6718 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0222 loss: 1.0222 2022/07/30 19:45:46 - mmengine - INFO - Epoch(train) [45][1720/2505] lr: 5.0000e-05 eta: 9:10:48 time: 1.0098 data_time: 0.0266 memory: 32703 grad_norm: 19.2849 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9758 loss: 0.9758 2022/07/30 19:46:05 - mmengine - INFO - Epoch(train) [45][1740/2505] lr: 5.0000e-05 eta: 9:10:27 time: 0.9249 data_time: 0.0310 memory: 32703 grad_norm: 19.2139 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0866 loss: 1.0866 2022/07/30 19:46:25 - mmengine - INFO - Epoch(train) [45][1760/2505] lr: 5.0000e-05 eta: 9:10:08 time: 1.0145 data_time: 0.0274 memory: 32703 grad_norm: 18.9023 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1615 loss: 1.1615 2022/07/30 19:46:44 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 19:46:44 - mmengine - INFO - Epoch(train) [45][1780/2505] lr: 5.0000e-05 eta: 9:09:48 time: 0.9377 data_time: 0.0280 memory: 32703 grad_norm: 18.7339 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9762 loss: 0.9762 2022/07/30 19:47:06 - mmengine - INFO - Epoch(train) [45][1800/2505] lr: 5.0000e-05 eta: 9:09:28 time: 1.0965 data_time: 0.0269 memory: 32703 grad_norm: 19.4406 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9465 loss: 0.9465 2022/07/30 19:47:24 - mmengine - INFO - Epoch(train) [45][1820/2505] lr: 5.0000e-05 eta: 9:09:08 time: 0.9167 data_time: 0.0265 memory: 32703 grad_norm: 18.7923 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9972 loss: 0.9972 2022/07/30 19:47:45 - mmengine - INFO - Epoch(train) [45][1840/2505] lr: 5.0000e-05 eta: 9:08:49 time: 1.0516 data_time: 0.0261 memory: 32703 grad_norm: 19.1589 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1057 loss: 1.1057 2022/07/30 19:48:03 - mmengine - INFO - Epoch(train) [45][1860/2505] lr: 5.0000e-05 eta: 9:08:28 time: 0.9093 data_time: 0.0276 memory: 32703 grad_norm: 19.7013 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9303 loss: 0.9303 2022/07/30 19:48:24 - mmengine - INFO - Epoch(train) [45][1880/2505] lr: 5.0000e-05 eta: 9:08:09 time: 1.0485 data_time: 0.0272 memory: 32703 grad_norm: 19.8049 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9545 loss: 0.9545 2022/07/30 19:48:43 - mmengine - INFO - Epoch(train) [45][1900/2505] lr: 5.0000e-05 eta: 9:07:49 time: 0.9704 data_time: 0.0271 memory: 32703 grad_norm: 18.3921 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0296 loss: 1.0296 2022/07/30 19:49:04 - mmengine - INFO - Epoch(train) [45][1920/2505] lr: 5.0000e-05 eta: 9:07:29 time: 1.0066 data_time: 0.0290 memory: 32703 grad_norm: 19.2274 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0524 loss: 1.0524 2022/07/30 19:49:22 - mmengine - INFO - Epoch(train) [45][1940/2505] lr: 5.0000e-05 eta: 9:07:09 time: 0.9097 data_time: 0.0277 memory: 32703 grad_norm: 19.4519 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1896 loss: 1.1896 2022/07/30 19:49:41 - mmengine - INFO - Epoch(train) [45][1960/2505] lr: 5.0000e-05 eta: 9:06:49 time: 0.9773 data_time: 0.0268 memory: 32703 grad_norm: 19.9595 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0253 loss: 1.0253 2022/07/30 19:50:00 - mmengine - INFO - Epoch(train) [45][1980/2505] lr: 5.0000e-05 eta: 9:06:29 time: 0.9203 data_time: 0.0285 memory: 32703 grad_norm: 18.6758 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0284 loss: 1.0284 2022/07/30 19:50:21 - mmengine - INFO - Epoch(train) [45][2000/2505] lr: 5.0000e-05 eta: 9:06:09 time: 1.0376 data_time: 0.0279 memory: 32703 grad_norm: 19.0399 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0673 loss: 1.0673 2022/07/30 19:50:38 - mmengine - INFO - Epoch(train) [45][2020/2505] lr: 5.0000e-05 eta: 9:05:49 time: 0.8692 data_time: 0.0298 memory: 32703 grad_norm: 19.3280 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7028 loss: 0.7028 2022/07/30 19:50:59 - mmengine - INFO - Epoch(train) [45][2040/2505] lr: 5.0000e-05 eta: 9:05:29 time: 1.0460 data_time: 0.0274 memory: 32703 grad_norm: 19.9584 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9840 loss: 0.9840 2022/07/30 19:51:18 - mmengine - INFO - Epoch(train) [45][2060/2505] lr: 5.0000e-05 eta: 9:05:09 time: 0.9628 data_time: 0.0302 memory: 32703 grad_norm: 18.7709 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9930 loss: 0.9930 2022/07/30 19:51:38 - mmengine - INFO - Epoch(train) [45][2080/2505] lr: 5.0000e-05 eta: 9:04:49 time: 0.9958 data_time: 0.0294 memory: 32703 grad_norm: 18.4636 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9917 loss: 0.9917 2022/07/30 19:51:58 - mmengine - INFO - Epoch(train) [45][2100/2505] lr: 5.0000e-05 eta: 9:04:30 time: 0.9733 data_time: 0.0268 memory: 32703 grad_norm: 18.2876 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0344 loss: 1.0344 2022/07/30 19:52:18 - mmengine - INFO - Epoch(train) [45][2120/2505] lr: 5.0000e-05 eta: 9:04:10 time: 1.0026 data_time: 0.0258 memory: 32703 grad_norm: 18.1724 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9596 loss: 0.9596 2022/07/30 19:52:36 - mmengine - INFO - Epoch(train) [45][2140/2505] lr: 5.0000e-05 eta: 9:03:50 time: 0.9122 data_time: 0.0263 memory: 32703 grad_norm: 18.9654 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0599 loss: 1.0599 2022/07/30 19:52:57 - mmengine - INFO - Epoch(train) [45][2160/2505] lr: 5.0000e-05 eta: 9:03:30 time: 1.0538 data_time: 0.0262 memory: 32703 grad_norm: 18.9432 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9828 loss: 0.9828 2022/07/30 19:53:15 - mmengine - INFO - Epoch(train) [45][2180/2505] lr: 5.0000e-05 eta: 9:03:10 time: 0.9140 data_time: 0.0265 memory: 32703 grad_norm: 19.4540 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0075 loss: 1.0075 2022/07/30 19:53:36 - mmengine - INFO - Epoch(train) [45][2200/2505] lr: 5.0000e-05 eta: 9:02:50 time: 1.0119 data_time: 0.0278 memory: 32703 grad_norm: 18.3564 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8476 loss: 0.8476 2022/07/30 19:53:55 - mmengine - INFO - Epoch(train) [45][2220/2505] lr: 5.0000e-05 eta: 9:02:30 time: 0.9581 data_time: 0.0321 memory: 32703 grad_norm: 18.6277 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9221 loss: 0.9221 2022/07/30 19:54:15 - mmengine - INFO - Epoch(train) [45][2240/2505] lr: 5.0000e-05 eta: 9:02:10 time: 0.9989 data_time: 0.0324 memory: 32703 grad_norm: 19.0025 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 0.9925 loss: 0.9925 2022/07/30 19:54:35 - mmengine - INFO - Epoch(train) [45][2260/2505] lr: 5.0000e-05 eta: 9:01:51 time: 1.0009 data_time: 0.0318 memory: 32703 grad_norm: 18.8507 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0612 loss: 1.0612 2022/07/30 19:54:53 - mmengine - INFO - Epoch(train) [45][2280/2505] lr: 5.0000e-05 eta: 9:01:30 time: 0.9326 data_time: 0.0320 memory: 32703 grad_norm: 19.4941 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1288 loss: 1.1288 2022/07/30 19:55:13 - mmengine - INFO - Epoch(train) [45][2300/2505] lr: 5.0000e-05 eta: 9:01:11 time: 0.9994 data_time: 0.0325 memory: 32703 grad_norm: 19.4664 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0381 loss: 1.0381 2022/07/30 19:55:33 - mmengine - INFO - Epoch(train) [45][2320/2505] lr: 5.0000e-05 eta: 9:00:51 time: 0.9905 data_time: 0.0289 memory: 32703 grad_norm: 18.7918 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9304 loss: 0.9304 2022/07/30 19:55:53 - mmengine - INFO - Epoch(train) [45][2340/2505] lr: 5.0000e-05 eta: 9:00:31 time: 0.9730 data_time: 0.0317 memory: 32703 grad_norm: 18.9554 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0299 loss: 1.0299 2022/07/30 19:56:13 - mmengine - INFO - Epoch(train) [45][2360/2505] lr: 5.0000e-05 eta: 9:00:11 time: 0.9993 data_time: 0.0266 memory: 32703 grad_norm: 19.4136 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9125 loss: 0.9125 2022/07/30 19:56:32 - mmengine - INFO - Epoch(train) [45][2380/2505] lr: 5.0000e-05 eta: 8:59:51 time: 0.9915 data_time: 0.0336 memory: 32703 grad_norm: 18.8389 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9306 loss: 0.9306 2022/07/30 19:56:53 - mmengine - INFO - Epoch(train) [45][2400/2505] lr: 5.0000e-05 eta: 8:59:32 time: 1.0241 data_time: 0.0269 memory: 32703 grad_norm: 19.6011 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8979 loss: 0.8979 2022/07/30 19:57:11 - mmengine - INFO - Epoch(train) [45][2420/2505] lr: 5.0000e-05 eta: 8:59:11 time: 0.9234 data_time: 0.0314 memory: 32703 grad_norm: 18.9746 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8827 loss: 0.8827 2022/07/30 19:57:32 - mmengine - INFO - Epoch(train) [45][2440/2505] lr: 5.0000e-05 eta: 8:58:52 time: 1.0085 data_time: 0.0318 memory: 32703 grad_norm: 19.3835 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8789 loss: 0.8789 2022/07/30 19:57:50 - mmengine - INFO - Epoch(train) [45][2460/2505] lr: 5.0000e-05 eta: 8:58:31 time: 0.9088 data_time: 0.0284 memory: 32703 grad_norm: 19.4288 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9787 loss: 0.9787 2022/07/30 19:58:12 - mmengine - INFO - Epoch(train) [45][2480/2505] lr: 5.0000e-05 eta: 8:58:12 time: 1.0885 data_time: 0.0261 memory: 32703 grad_norm: 18.6399 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9520 loss: 0.9520 2022/07/30 19:58:30 - mmengine - INFO - Epoch(train) [45][2500/2505] lr: 5.0000e-05 eta: 8:57:52 time: 0.8993 data_time: 0.0299 memory: 32703 grad_norm: 19.5938 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2476 loss: 1.2476 2022/07/30 19:58:32 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 19:58:32 - mmengine - INFO - Epoch(train) [45][2505/2505] lr: 5.0000e-05 eta: 8:57:52 time: 0.7565 data_time: 0.0207 memory: 32703 grad_norm: 19.8193 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1313 loss: 1.1313 2022/07/30 19:58:35 - mmengine - INFO - Epoch(val) [45][20/2475] eta: 0:04:30 time: 0.1101 data_time: 0.0829 memory: 817 2022/07/30 19:58:36 - mmengine - INFO - Epoch(val) [45][40/2475] eta: 0:03:08 time: 0.0772 data_time: 0.0500 memory: 817 2022/07/30 19:58:38 - mmengine - INFO - Epoch(val) [45][60/2475] eta: 0:03:40 time: 0.0914 data_time: 0.0620 memory: 817 2022/07/30 19:58:39 - mmengine - INFO - Epoch(val) [45][80/2475] eta: 0:02:50 time: 0.0712 data_time: 0.0427 memory: 817 2022/07/30 19:58:41 - mmengine - INFO - Epoch(val) [45][100/2475] eta: 0:03:37 time: 0.0917 data_time: 0.0645 memory: 817 2022/07/30 19:58:43 - mmengine - INFO - Epoch(val) [45][120/2475] eta: 0:03:00 time: 0.0767 data_time: 0.0480 memory: 817 2022/07/30 19:58:44 - mmengine - INFO - Epoch(val) [45][140/2475] eta: 0:03:17 time: 0.0848 data_time: 0.0578 memory: 817 2022/07/30 19:58:46 - mmengine - INFO - Epoch(val) [45][160/2475] eta: 0:02:41 time: 0.0697 data_time: 0.0412 memory: 817 2022/07/30 19:58:47 - mmengine - INFO - Epoch(val) [45][180/2475] eta: 0:03:09 time: 0.0827 data_time: 0.0511 memory: 817 2022/07/30 19:58:49 - mmengine - INFO - Epoch(val) [45][200/2475] eta: 0:02:58 time: 0.0783 data_time: 0.0500 memory: 817 2022/07/30 19:58:50 - mmengine - INFO - Epoch(val) [45][220/2475] eta: 0:02:33 time: 0.0682 data_time: 0.0420 memory: 817 2022/07/30 19:58:52 - mmengine - INFO - Epoch(val) [45][240/2475] eta: 0:03:03 time: 0.0821 data_time: 0.0539 memory: 817 2022/07/30 19:58:54 - mmengine - INFO - Epoch(val) [45][260/2475] eta: 0:03:40 time: 0.0997 data_time: 0.0696 memory: 817 2022/07/30 19:58:55 - mmengine - INFO - Epoch(val) [45][280/2475] eta: 0:02:34 time: 0.0706 data_time: 0.0408 memory: 817 2022/07/30 19:58:57 - mmengine - INFO - Epoch(val) [45][300/2475] eta: 0:02:44 time: 0.0755 data_time: 0.0481 memory: 817 2022/07/30 19:58:59 - mmengine - INFO - Epoch(val) [45][320/2475] eta: 0:03:23 time: 0.0945 data_time: 0.0667 memory: 817 2022/07/30 19:59:00 - mmengine - INFO - Epoch(val) [45][340/2475] eta: 0:02:18 time: 0.0649 data_time: 0.0370 memory: 817 2022/07/30 19:59:02 - mmengine - INFO - Epoch(val) [45][360/2475] eta: 0:03:15 time: 0.0923 data_time: 0.0649 memory: 817 2022/07/30 19:59:03 - mmengine - INFO - Epoch(val) [45][380/2475] eta: 0:02:24 time: 0.0688 data_time: 0.0411 memory: 817 2022/07/30 19:59:05 - mmengine - INFO - Epoch(val) [45][400/2475] eta: 0:03:13 time: 0.0932 data_time: 0.0668 memory: 817 2022/07/30 19:59:07 - mmengine - INFO - Epoch(val) [45][420/2475] eta: 0:02:24 time: 0.0705 data_time: 0.0432 memory: 817 2022/07/30 19:59:08 - mmengine - INFO - Epoch(val) [45][440/2475] eta: 0:02:42 time: 0.0799 data_time: 0.0506 memory: 817 2022/07/30 19:59:10 - mmengine - INFO - Epoch(val) [45][460/2475] eta: 0:03:10 time: 0.0946 data_time: 0.0647 memory: 817 2022/07/30 19:59:12 - mmengine - INFO - Epoch(val) [45][480/2475] eta: 0:02:34 time: 0.0772 data_time: 0.0491 memory: 817 2022/07/30 19:59:14 - mmengine - INFO - Epoch(val) [45][500/2475] eta: 0:03:12 time: 0.0973 data_time: 0.0688 memory: 817 2022/07/30 19:59:15 - mmengine - INFO - Epoch(val) [45][520/2475] eta: 0:01:59 time: 0.0613 data_time: 0.0335 memory: 817 2022/07/30 19:59:17 - mmengine - INFO - Epoch(val) [45][540/2475] eta: 0:03:22 time: 0.1049 data_time: 0.0775 memory: 817 2022/07/30 19:59:18 - mmengine - INFO - Epoch(val) [45][560/2475] eta: 0:01:52 time: 0.0588 data_time: 0.0273 memory: 817 2022/07/30 19:59:20 - mmengine - INFO - Epoch(val) [45][580/2475] eta: 0:02:21 time: 0.0746 data_time: 0.0451 memory: 817 2022/07/30 19:59:21 - mmengine - INFO - Epoch(val) [45][600/2475] eta: 0:02:11 time: 0.0702 data_time: 0.0418 memory: 817 2022/07/30 19:59:23 - mmengine - INFO - Epoch(val) [45][620/2475] eta: 0:02:40 time: 0.0865 data_time: 0.0587 memory: 817 2022/07/30 19:59:25 - mmengine - INFO - Epoch(val) [45][640/2475] eta: 0:02:50 time: 0.0927 data_time: 0.0648 memory: 817 2022/07/30 19:59:27 - mmengine - INFO - Epoch(val) [45][660/2475] eta: 0:03:12 time: 0.1059 data_time: 0.0785 memory: 817 2022/07/30 19:59:28 - mmengine - INFO - Epoch(val) [45][680/2475] eta: 0:01:42 time: 0.0568 data_time: 0.0274 memory: 817 2022/07/30 19:59:30 - mmengine - INFO - Epoch(val) [45][700/2475] eta: 0:03:24 time: 0.1151 data_time: 0.0878 memory: 817 2022/07/30 19:59:32 - mmengine - INFO - Epoch(val) [45][720/2475] eta: 0:02:55 time: 0.1000 data_time: 0.0713 memory: 817 2022/07/30 19:59:33 - mmengine - INFO - Epoch(val) [45][740/2475] eta: 0:01:31 time: 0.0527 data_time: 0.0235 memory: 817 2022/07/30 19:59:35 - mmengine - INFO - Epoch(val) [45][760/2475] eta: 0:02:34 time: 0.0901 data_time: 0.0635 memory: 817 2022/07/30 19:59:36 - mmengine - INFO - Epoch(val) [45][780/2475] eta: 0:01:34 time: 0.0555 data_time: 0.0262 memory: 817 2022/07/30 19:59:38 - mmengine - INFO - Epoch(val) [45][800/2475] eta: 0:02:19 time: 0.0834 data_time: 0.0563 memory: 817 2022/07/30 19:59:39 - mmengine - INFO - Epoch(val) [45][820/2475] eta: 0:01:59 time: 0.0722 data_time: 0.0453 memory: 817 2022/07/30 19:59:41 - mmengine - INFO - Epoch(val) [45][840/2475] eta: 0:02:29 time: 0.0912 data_time: 0.0648 memory: 817 2022/07/30 19:59:43 - mmengine - INFO - Epoch(val) [45][860/2475] eta: 0:02:09 time: 0.0799 data_time: 0.0530 memory: 817 2022/07/30 19:59:44 - mmengine - INFO - Epoch(val) [45][880/2475] eta: 0:02:13 time: 0.0834 data_time: 0.0550 memory: 817 2022/07/30 19:59:46 - mmengine - INFO - Epoch(val) [45][900/2475] eta: 0:01:57 time: 0.0743 data_time: 0.0470 memory: 817 2022/07/30 19:59:48 - mmengine - INFO - Epoch(val) [45][920/2475] eta: 0:03:01 time: 0.1169 data_time: 0.0532 memory: 817 2022/07/30 19:59:50 - mmengine - INFO - Epoch(val) [45][940/2475] eta: 0:01:40 time: 0.0656 data_time: 0.0320 memory: 817 2022/07/30 19:59:51 - mmengine - INFO - Epoch(val) [45][960/2475] eta: 0:02:01 time: 0.0800 data_time: 0.0535 memory: 817 2022/07/30 19:59:53 - mmengine - INFO - Epoch(val) [45][980/2475] eta: 0:02:15 time: 0.0910 data_time: 0.0628 memory: 817 2022/07/30 19:59:55 - mmengine - INFO - Epoch(val) [45][1000/2475] eta: 0:01:55 time: 0.0782 data_time: 0.0517 memory: 817 2022/07/30 19:59:56 - mmengine - INFO - Epoch(val) [45][1020/2475] eta: 0:01:58 time: 0.0817 data_time: 0.0524 memory: 817 2022/07/30 19:59:58 - mmengine - INFO - Epoch(val) [45][1040/2475] eta: 0:01:45 time: 0.0739 data_time: 0.0471 memory: 817 2022/07/30 20:00:00 - mmengine - INFO - Epoch(val) [45][1060/2475] eta: 0:02:12 time: 0.0934 data_time: 0.0664 memory: 817 2022/07/30 20:00:01 - mmengine - INFO - Epoch(val) [45][1080/2475] eta: 0:01:26 time: 0.0618 data_time: 0.0338 memory: 817 2022/07/30 20:00:03 - mmengine - INFO - Epoch(val) [45][1100/2475] eta: 0:02:43 time: 0.1187 data_time: 0.0907 memory: 817 2022/07/30 20:00:05 - mmengine - INFO - Epoch(val) [45][1120/2475] eta: 0:01:26 time: 0.0642 data_time: 0.0354 memory: 817 2022/07/30 20:00:06 - mmengine - INFO - Epoch(val) [45][1140/2475] eta: 0:02:03 time: 0.0929 data_time: 0.0657 memory: 817 2022/07/30 20:00:08 - mmengine - INFO - Epoch(val) [45][1160/2475] eta: 0:01:46 time: 0.0806 data_time: 0.0219 memory: 817 2022/07/30 20:00:09 - mmengine - INFO - Epoch(val) [45][1180/2475] eta: 0:01:35 time: 0.0734 data_time: 0.0451 memory: 817 2022/07/30 20:00:12 - mmengine - INFO - Epoch(val) [45][1200/2475] eta: 0:02:15 time: 0.1063 data_time: 0.0771 memory: 817 2022/07/30 20:00:13 - mmengine - INFO - Epoch(val) [45][1220/2475] eta: 0:01:41 time: 0.0806 data_time: 0.0541 memory: 817 2022/07/30 20:00:14 - mmengine - INFO - Epoch(val) [45][1240/2475] eta: 0:01:14 time: 0.0600 data_time: 0.0314 memory: 817 2022/07/30 20:00:17 - mmengine - INFO - Epoch(val) [45][1260/2475] eta: 0:02:19 time: 0.1148 data_time: 0.0883 memory: 817 2022/07/30 20:00:18 - mmengine - INFO - Epoch(val) [45][1280/2475] eta: 0:01:32 time: 0.0776 data_time: 0.0497 memory: 817 2022/07/30 20:00:20 - mmengine - INFO - Epoch(val) [45][1300/2475] eta: 0:01:39 time: 0.0846 data_time: 0.0573 memory: 817 2022/07/30 20:00:22 - mmengine - INFO - Epoch(val) [45][1320/2475] eta: 0:01:45 time: 0.0914 data_time: 0.0624 memory: 817 2022/07/30 20:00:23 - mmengine - INFO - Epoch(val) [45][1340/2475] eta: 0:01:11 time: 0.0629 data_time: 0.0357 memory: 817 2022/07/30 20:00:25 - mmengine - INFO - Epoch(val) [45][1360/2475] eta: 0:01:29 time: 0.0804 data_time: 0.0516 memory: 817 2022/07/30 20:00:26 - mmengine - INFO - Epoch(val) [45][1380/2475] eta: 0:01:30 time: 0.0828 data_time: 0.0544 memory: 817 2022/07/30 20:00:28 - mmengine - INFO - Epoch(val) [45][1400/2475] eta: 0:01:13 time: 0.0684 data_time: 0.0332 memory: 817 2022/07/30 20:00:29 - mmengine - INFO - Epoch(val) [45][1420/2475] eta: 0:01:22 time: 0.0786 data_time: 0.0519 memory: 817 2022/07/30 20:00:31 - mmengine - INFO - Epoch(val) [45][1440/2475] eta: 0:01:36 time: 0.0928 data_time: 0.0654 memory: 817 2022/07/30 20:00:33 - mmengine - INFO - Epoch(val) [45][1460/2475] eta: 0:01:26 time: 0.0849 data_time: 0.0575 memory: 817 2022/07/30 20:00:34 - mmengine - INFO - Epoch(val) [45][1480/2475] eta: 0:01:17 time: 0.0775 data_time: 0.0502 memory: 817 2022/07/30 20:00:36 - mmengine - INFO - Epoch(val) [45][1500/2475] eta: 0:01:12 time: 0.0740 data_time: 0.0457 memory: 817 2022/07/30 20:00:37 - mmengine - INFO - Epoch(val) [45][1520/2475] eta: 0:01:13 time: 0.0772 data_time: 0.0501 memory: 817 2022/07/30 20:00:39 - mmengine - INFO - Epoch(val) [45][1540/2475] eta: 0:01:18 time: 0.0838 data_time: 0.0550 memory: 817 2022/07/30 20:00:41 - mmengine - INFO - Epoch(val) [45][1560/2475] eta: 0:01:24 time: 0.0927 data_time: 0.0627 memory: 817 2022/07/30 20:00:43 - mmengine - INFO - Epoch(val) [45][1580/2475] eta: 0:01:14 time: 0.0836 data_time: 0.0572 memory: 817 2022/07/30 20:00:44 - mmengine - INFO - Epoch(val) [45][1600/2475] eta: 0:01:07 time: 0.0771 data_time: 0.0502 memory: 817 2022/07/30 20:00:46 - mmengine - INFO - Epoch(val) [45][1620/2475] eta: 0:01:13 time: 0.0858 data_time: 0.0578 memory: 817 2022/07/30 20:00:47 - mmengine - INFO - Epoch(val) [45][1640/2475] eta: 0:01:02 time: 0.0752 data_time: 0.0330 memory: 817 2022/07/30 20:00:49 - mmengine - INFO - Epoch(val) [45][1660/2475] eta: 0:00:56 time: 0.0698 data_time: 0.0376 memory: 817 2022/07/30 20:00:50 - mmengine - INFO - Epoch(val) [45][1680/2475] eta: 0:01:03 time: 0.0801 data_time: 0.0527 memory: 817 2022/07/30 20:00:52 - mmengine - INFO - Epoch(val) [45][1700/2475] eta: 0:01:11 time: 0.0923 data_time: 0.0646 memory: 817 2022/07/30 20:00:54 - mmengine - INFO - Epoch(val) [45][1720/2475] eta: 0:00:57 time: 0.0768 data_time: 0.0477 memory: 817 2022/07/30 20:00:55 - mmengine - INFO - Epoch(val) [45][1740/2475] eta: 0:00:54 time: 0.0742 data_time: 0.0476 memory: 817 2022/07/30 20:00:57 - mmengine - INFO - Epoch(val) [45][1760/2475] eta: 0:01:00 time: 0.0847 data_time: 0.0572 memory: 817 2022/07/30 20:00:58 - mmengine - INFO - Epoch(val) [45][1780/2475] eta: 0:00:50 time: 0.0727 data_time: 0.0454 memory: 817 2022/07/30 20:01:00 - mmengine - INFO - Epoch(val) [45][1800/2475] eta: 0:00:59 time: 0.0887 data_time: 0.0598 memory: 817 2022/07/30 20:01:02 - mmengine - INFO - Epoch(val) [45][1820/2475] eta: 0:01:05 time: 0.0994 data_time: 0.0737 memory: 817 2022/07/30 20:01:03 - mmengine - INFO - Epoch(val) [45][1840/2475] eta: 0:00:39 time: 0.0615 data_time: 0.0347 memory: 817 2022/07/30 20:01:05 - mmengine - INFO - Epoch(val) [45][1860/2475] eta: 0:00:53 time: 0.0874 data_time: 0.0599 memory: 817 2022/07/30 20:01:07 - mmengine - INFO - Epoch(val) [45][1880/2475] eta: 0:00:40 time: 0.0676 data_time: 0.0419 memory: 817 2022/07/30 20:01:09 - mmengine - INFO - Epoch(val) [45][1900/2475] eta: 0:01:05 time: 0.1133 data_time: 0.0769 memory: 817 2022/07/30 20:01:10 - mmengine - INFO - Epoch(val) [45][1920/2475] eta: 0:00:41 time: 0.0744 data_time: 0.0469 memory: 817 2022/07/30 20:01:12 - mmengine - INFO - Epoch(val) [45][1940/2475] eta: 0:00:37 time: 0.0699 data_time: 0.0435 memory: 817 2022/07/30 20:01:13 - mmengine - INFO - Epoch(val) [45][1960/2475] eta: 0:00:31 time: 0.0604 data_time: 0.0295 memory: 817 2022/07/30 20:01:15 - mmengine - INFO - Epoch(val) [45][1980/2475] eta: 0:00:38 time: 0.0785 data_time: 0.0509 memory: 817 2022/07/30 20:01:16 - mmengine - INFO - Epoch(val) [45][2000/2475] eta: 0:00:44 time: 0.0946 data_time: 0.0674 memory: 817 2022/07/30 20:01:18 - mmengine - INFO - Epoch(val) [45][2020/2475] eta: 0:00:32 time: 0.0722 data_time: 0.0455 memory: 817 2022/07/30 20:01:20 - mmengine - INFO - Epoch(val) [45][2040/2475] eta: 0:00:40 time: 0.0938 data_time: 0.0676 memory: 817 2022/07/30 20:01:21 - mmengine - INFO - Epoch(val) [45][2060/2475] eta: 0:00:28 time: 0.0697 data_time: 0.0418 memory: 817 2022/07/30 20:01:23 - mmengine - INFO - Epoch(val) [45][2080/2475] eta: 0:00:33 time: 0.0853 data_time: 0.0576 memory: 817 2022/07/30 20:01:25 - mmengine - INFO - Epoch(val) [45][2100/2475] eta: 0:00:31 time: 0.0838 data_time: 0.0568 memory: 817 2022/07/30 20:01:26 - mmengine - INFO - Epoch(val) [45][2120/2475] eta: 0:00:29 time: 0.0820 data_time: 0.0543 memory: 817 2022/07/30 20:01:28 - mmengine - INFO - Epoch(val) [45][2140/2475] eta: 0:00:25 time: 0.0768 data_time: 0.0414 memory: 817 2022/07/30 20:01:29 - mmengine - INFO - Epoch(val) [45][2160/2475] eta: 0:00:26 time: 0.0826 data_time: 0.0519 memory: 817 2022/07/30 20:01:31 - mmengine - INFO - Epoch(val) [45][2180/2475] eta: 0:00:19 time: 0.0677 data_time: 0.0406 memory: 817 2022/07/30 20:01:33 - mmengine - INFO - Epoch(val) [45][2200/2475] eta: 0:00:27 time: 0.0992 data_time: 0.0698 memory: 817 2022/07/30 20:01:34 - mmengine - INFO - Epoch(val) [45][2220/2475] eta: 0:00:16 time: 0.0652 data_time: 0.0381 memory: 817 2022/07/30 20:01:36 - mmengine - INFO - Epoch(val) [45][2240/2475] eta: 0:00:22 time: 0.0968 data_time: 0.0698 memory: 817 2022/07/30 20:01:38 - mmengine - INFO - Epoch(val) [45][2260/2475] eta: 0:00:16 time: 0.0774 data_time: 0.0507 memory: 817 2022/07/30 20:01:39 - mmengine - INFO - Epoch(val) [45][2280/2475] eta: 0:00:17 time: 0.0900 data_time: 0.0636 memory: 817 2022/07/30 20:01:41 - mmengine - INFO - Epoch(val) [45][2300/2475] eta: 0:00:10 time: 0.0580 data_time: 0.0314 memory: 817 2022/07/30 20:01:42 - mmengine - INFO - Epoch(val) [45][2320/2475] eta: 0:00:12 time: 0.0815 data_time: 0.0546 memory: 817 2022/07/30 20:01:44 - mmengine - INFO - Epoch(val) [45][2340/2475] eta: 0:00:09 time: 0.0738 data_time: 0.0449 memory: 817 2022/07/30 20:01:45 - mmengine - INFO - Epoch(val) [45][2360/2475] eta: 0:00:09 time: 0.0824 data_time: 0.0537 memory: 817 2022/07/30 20:01:47 - mmengine - INFO - Epoch(val) [45][2380/2475] eta: 0:00:07 time: 0.0765 data_time: 0.0500 memory: 817 2022/07/30 20:01:49 - mmengine - INFO - Epoch(val) [45][2400/2475] eta: 0:00:06 time: 0.0879 data_time: 0.0519 memory: 817 2022/07/30 20:01:50 - mmengine - INFO - Epoch(val) [45][2420/2475] eta: 0:00:03 time: 0.0721 data_time: 0.0445 memory: 817 2022/07/30 20:01:52 - mmengine - INFO - Epoch(val) [45][2440/2475] eta: 0:00:03 time: 0.0866 data_time: 0.0586 memory: 817 2022/07/30 20:01:53 - mmengine - INFO - Epoch(val) [45][2460/2475] eta: 0:00:01 time: 0.0748 data_time: 0.0469 memory: 817 2022/07/30 20:01:55 - mmengine - INFO - Epoch(val) [45][2475/2475] acc/top1: 0.7587 acc/top5: 0.9203 acc/mean1: 0.7586 2022/07/30 20:02:22 - mmengine - INFO - Epoch(train) [46][20/2505] lr: 5.0000e-05 eta: 8:57:28 time: 1.3193 data_time: 0.6097 memory: 32703 grad_norm: 19.1940 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9653 loss: 0.9653 2022/07/30 20:02:40 - mmengine - INFO - Epoch(train) [46][40/2505] lr: 5.0000e-05 eta: 8:57:07 time: 0.9258 data_time: 0.2980 memory: 32703 grad_norm: 19.3106 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9341 loss: 0.9341 2022/07/30 20:03:06 - mmengine - INFO - Epoch(train) [46][60/2505] lr: 5.0000e-05 eta: 8:56:49 time: 1.2784 data_time: 0.3107 memory: 32703 grad_norm: 19.7868 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2168 loss: 1.2168 2022/07/30 20:03:24 - mmengine - INFO - Epoch(train) [46][80/2505] lr: 5.0000e-05 eta: 8:56:29 time: 0.9208 data_time: 0.0288 memory: 32703 grad_norm: 18.5748 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9514 loss: 0.9514 2022/07/30 20:03:44 - mmengine - INFO - Epoch(train) [46][100/2505] lr: 5.0000e-05 eta: 8:56:09 time: 0.9931 data_time: 0.0313 memory: 32703 grad_norm: 18.1316 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9424 loss: 0.9424 2022/07/30 20:04:03 - mmengine - INFO - Epoch(train) [46][120/2505] lr: 5.0000e-05 eta: 8:55:49 time: 0.9484 data_time: 0.0274 memory: 32703 grad_norm: 19.9083 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0514 loss: 1.0514 2022/07/30 20:04:23 - mmengine - INFO - Epoch(train) [46][140/2505] lr: 5.0000e-05 eta: 8:55:29 time: 0.9664 data_time: 0.0281 memory: 32703 grad_norm: 18.9956 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.0419 loss: 1.0419 2022/07/30 20:04:41 - mmengine - INFO - Epoch(train) [46][160/2505] lr: 5.0000e-05 eta: 8:55:09 time: 0.9049 data_time: 0.0309 memory: 32703 grad_norm: 19.3105 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1951 loss: 1.1951 2022/07/30 20:05:02 - mmengine - INFO - Epoch(train) [46][180/2505] lr: 5.0000e-05 eta: 8:54:50 time: 1.0850 data_time: 0.0295 memory: 32703 grad_norm: 19.2520 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0554 loss: 1.0554 2022/07/30 20:05:20 - mmengine - INFO - Epoch(train) [46][200/2505] lr: 5.0000e-05 eta: 8:54:29 time: 0.9040 data_time: 0.0283 memory: 32703 grad_norm: 18.6488 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8473 loss: 0.8473 2022/07/30 20:05:42 - mmengine - INFO - Epoch(train) [46][220/2505] lr: 5.0000e-05 eta: 8:54:10 time: 1.0868 data_time: 0.0269 memory: 32703 grad_norm: 18.3427 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9910 loss: 0.9910 2022/07/30 20:06:00 - mmengine - INFO - Epoch(train) [46][240/2505] lr: 5.0000e-05 eta: 8:53:50 time: 0.8731 data_time: 0.0284 memory: 32703 grad_norm: 18.9576 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0874 loss: 1.0874 2022/07/30 20:06:21 - mmengine - INFO - Epoch(train) [46][260/2505] lr: 5.0000e-05 eta: 8:53:30 time: 1.0627 data_time: 0.0297 memory: 32703 grad_norm: 18.4065 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0383 loss: 1.0383 2022/07/30 20:06:34 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 20:06:39 - mmengine - INFO - Epoch(train) [46][280/2505] lr: 5.0000e-05 eta: 8:53:10 time: 0.8929 data_time: 0.0274 memory: 32703 grad_norm: 19.7177 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8150 loss: 0.8150 2022/07/30 20:07:00 - mmengine - INFO - Epoch(train) [46][300/2505] lr: 5.0000e-05 eta: 8:52:50 time: 1.0598 data_time: 0.0275 memory: 32703 grad_norm: 19.2926 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8653 loss: 0.8653 2022/07/30 20:07:20 - mmengine - INFO - Epoch(train) [46][320/2505] lr: 5.0000e-05 eta: 8:52:30 time: 0.9740 data_time: 0.0269 memory: 32703 grad_norm: 19.2576 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0282 loss: 1.0282 2022/07/30 20:07:40 - mmengine - INFO - Epoch(train) [46][340/2505] lr: 5.0000e-05 eta: 8:52:11 time: 1.0145 data_time: 0.0271 memory: 32703 grad_norm: 18.7279 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0157 loss: 1.0157 2022/07/30 20:07:57 - mmengine - INFO - Epoch(train) [46][360/2505] lr: 5.0000e-05 eta: 8:51:50 time: 0.8625 data_time: 0.0277 memory: 32703 grad_norm: 18.5675 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0416 loss: 1.0416 2022/07/30 20:08:19 - mmengine - INFO - Epoch(train) [46][380/2505] lr: 5.0000e-05 eta: 8:51:31 time: 1.1183 data_time: 0.0268 memory: 32703 grad_norm: 18.8463 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1353 loss: 1.1353 2022/07/30 20:08:36 - mmengine - INFO - Epoch(train) [46][400/2505] lr: 5.0000e-05 eta: 8:51:10 time: 0.8513 data_time: 0.0251 memory: 32703 grad_norm: 19.4624 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0370 loss: 1.0370 2022/07/30 20:08:57 - mmengine - INFO - Epoch(train) [46][420/2505] lr: 5.0000e-05 eta: 8:50:51 time: 1.0334 data_time: 0.0264 memory: 32703 grad_norm: 19.3257 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0784 loss: 1.0784 2022/07/30 20:09:16 - mmengine - INFO - Epoch(train) [46][440/2505] lr: 5.0000e-05 eta: 8:50:31 time: 0.9219 data_time: 0.0325 memory: 32703 grad_norm: 18.4977 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1980 loss: 1.1980 2022/07/30 20:09:37 - mmengine - INFO - Epoch(train) [46][460/2505] lr: 5.0000e-05 eta: 8:50:11 time: 1.0554 data_time: 0.0302 memory: 32703 grad_norm: 19.5341 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8489 loss: 0.8489 2022/07/30 20:09:55 - mmengine - INFO - Epoch(train) [46][480/2505] lr: 5.0000e-05 eta: 8:49:51 time: 0.8948 data_time: 0.0273 memory: 32703 grad_norm: 18.4962 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0005 loss: 1.0005 2022/07/30 20:10:17 - mmengine - INFO - Epoch(train) [46][500/2505] lr: 5.0000e-05 eta: 8:49:32 time: 1.1123 data_time: 0.0288 memory: 32703 grad_norm: 20.3541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9756 loss: 0.9756 2022/07/30 20:10:35 - mmengine - INFO - Epoch(train) [46][520/2505] lr: 5.0000e-05 eta: 8:49:11 time: 0.9168 data_time: 0.0289 memory: 32703 grad_norm: 18.9326 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 0.8250 loss: 0.8250 2022/07/30 20:10:56 - mmengine - INFO - Epoch(train) [46][540/2505] lr: 5.0000e-05 eta: 8:48:52 time: 1.0556 data_time: 0.0302 memory: 32703 grad_norm: 19.5564 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8712 loss: 0.8712 2022/07/30 20:11:14 - mmengine - INFO - Epoch(train) [46][560/2505] lr: 5.0000e-05 eta: 8:48:32 time: 0.8941 data_time: 0.0308 memory: 32703 grad_norm: 19.6066 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9440 loss: 0.9440 2022/07/30 20:11:35 - mmengine - INFO - Epoch(train) [46][580/2505] lr: 5.0000e-05 eta: 8:48:12 time: 1.0439 data_time: 0.0354 memory: 32703 grad_norm: 18.8046 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1477 loss: 1.1477 2022/07/30 20:11:53 - mmengine - INFO - Epoch(train) [46][600/2505] lr: 5.0000e-05 eta: 8:47:52 time: 0.9130 data_time: 0.0315 memory: 32703 grad_norm: 18.0603 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0515 loss: 1.0515 2022/07/30 20:12:15 - mmengine - INFO - Epoch(train) [46][620/2505] lr: 5.0000e-05 eta: 8:47:33 time: 1.0734 data_time: 0.0338 memory: 32703 grad_norm: 18.1735 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0342 loss: 1.0342 2022/07/30 20:12:33 - mmengine - INFO - Epoch(train) [46][640/2505] lr: 5.0000e-05 eta: 8:47:12 time: 0.9186 data_time: 0.0268 memory: 32703 grad_norm: 19.6533 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0161 loss: 1.0161 2022/07/30 20:12:55 - mmengine - INFO - Epoch(train) [46][660/2505] lr: 5.0000e-05 eta: 8:46:53 time: 1.0607 data_time: 0.0343 memory: 32703 grad_norm: 19.0465 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9777 loss: 0.9777 2022/07/30 20:13:13 - mmengine - INFO - Epoch(train) [46][680/2505] lr: 5.0000e-05 eta: 8:46:33 time: 0.9160 data_time: 0.0311 memory: 32703 grad_norm: 19.1524 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8415 loss: 0.8415 2022/07/30 20:13:34 - mmengine - INFO - Epoch(train) [46][700/2505] lr: 5.0000e-05 eta: 8:46:13 time: 1.0523 data_time: 0.0306 memory: 32703 grad_norm: 19.5066 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0625 loss: 1.0625 2022/07/30 20:13:52 - mmengine - INFO - Epoch(train) [46][720/2505] lr: 5.0000e-05 eta: 8:45:53 time: 0.8824 data_time: 0.0274 memory: 32703 grad_norm: 19.4179 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8798 loss: 0.8798 2022/07/30 20:14:11 - mmengine - INFO - Epoch(train) [46][740/2505] lr: 5.0000e-05 eta: 8:45:33 time: 0.9886 data_time: 0.0322 memory: 32703 grad_norm: 19.2529 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1148 loss: 1.1148 2022/07/30 20:14:31 - mmengine - INFO - Epoch(train) [46][760/2505] lr: 5.0000e-05 eta: 8:45:13 time: 0.9631 data_time: 0.0311 memory: 32703 grad_norm: 18.6595 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8862 loss: 0.8862 2022/07/30 20:14:51 - mmengine - INFO - Epoch(train) [46][780/2505] lr: 5.0000e-05 eta: 8:44:53 time: 1.0271 data_time: 0.0275 memory: 32703 grad_norm: 18.7966 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0969 loss: 1.0969 2022/07/30 20:15:11 - mmengine - INFO - Epoch(train) [46][800/2505] lr: 5.0000e-05 eta: 8:44:33 time: 0.9797 data_time: 0.0299 memory: 32703 grad_norm: 18.6125 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9196 loss: 0.9196 2022/07/30 20:15:31 - mmengine - INFO - Epoch(train) [46][820/2505] lr: 5.0000e-05 eta: 8:44:14 time: 1.0181 data_time: 0.0281 memory: 32703 grad_norm: 19.0512 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9165 loss: 0.9165 2022/07/30 20:15:49 - mmengine - INFO - Epoch(train) [46][840/2505] lr: 5.0000e-05 eta: 8:43:54 time: 0.9175 data_time: 0.0321 memory: 32703 grad_norm: 18.7455 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0196 loss: 1.0196 2022/07/30 20:16:10 - mmengine - INFO - Epoch(train) [46][860/2505] lr: 5.0000e-05 eta: 8:43:34 time: 1.0283 data_time: 0.0305 memory: 32703 grad_norm: 18.8501 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9538 loss: 0.9538 2022/07/30 20:16:29 - mmengine - INFO - Epoch(train) [46][880/2505] lr: 5.0000e-05 eta: 8:43:14 time: 0.9476 data_time: 0.0324 memory: 32703 grad_norm: 19.2760 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9867 loss: 0.9867 2022/07/30 20:16:49 - mmengine - INFO - Epoch(train) [46][900/2505] lr: 5.0000e-05 eta: 8:42:54 time: 0.9787 data_time: 0.0295 memory: 32703 grad_norm: 18.3470 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1849 loss: 1.1849 2022/07/30 20:17:08 - mmengine - INFO - Epoch(train) [46][920/2505] lr: 5.0000e-05 eta: 8:42:34 time: 0.9683 data_time: 0.0288 memory: 32703 grad_norm: 19.2001 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8040 loss: 0.8040 2022/07/30 20:17:28 - mmengine - INFO - Epoch(train) [46][940/2505] lr: 5.0000e-05 eta: 8:42:14 time: 0.9930 data_time: 0.0259 memory: 32703 grad_norm: 18.8454 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0968 loss: 1.0968 2022/07/30 20:17:48 - mmengine - INFO - Epoch(train) [46][960/2505] lr: 5.0000e-05 eta: 8:41:54 time: 0.9904 data_time: 0.0262 memory: 32703 grad_norm: 19.6754 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0278 loss: 1.0278 2022/07/30 20:18:07 - mmengine - INFO - Epoch(train) [46][980/2505] lr: 5.0000e-05 eta: 8:41:34 time: 0.9530 data_time: 0.0267 memory: 32703 grad_norm: 18.6413 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9738 loss: 0.9738 2022/07/30 20:18:27 - mmengine - INFO - Epoch(train) [46][1000/2505] lr: 5.0000e-05 eta: 8:41:15 time: 1.0403 data_time: 0.0278 memory: 32703 grad_norm: 19.0491 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0905 loss: 1.0905 2022/07/30 20:18:47 - mmengine - INFO - Epoch(train) [46][1020/2505] lr: 5.0000e-05 eta: 8:40:55 time: 0.9717 data_time: 0.0267 memory: 32703 grad_norm: 19.5591 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1099 loss: 1.1099 2022/07/30 20:19:08 - mmengine - INFO - Epoch(train) [46][1040/2505] lr: 5.0000e-05 eta: 8:40:35 time: 1.0405 data_time: 0.0270 memory: 32703 grad_norm: 19.2923 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9637 loss: 0.9637 2022/07/30 20:19:27 - mmengine - INFO - Epoch(train) [46][1060/2505] lr: 5.0000e-05 eta: 8:40:15 time: 0.9460 data_time: 0.0286 memory: 32703 grad_norm: 18.9017 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1182 loss: 1.1182 2022/07/30 20:19:46 - mmengine - INFO - Epoch(train) [46][1080/2505] lr: 5.0000e-05 eta: 8:39:55 time: 0.9577 data_time: 0.0278 memory: 32703 grad_norm: 18.9976 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9201 loss: 0.9201 2022/07/30 20:20:07 - mmengine - INFO - Epoch(train) [46][1100/2505] lr: 5.0000e-05 eta: 8:39:36 time: 1.0589 data_time: 0.0277 memory: 32703 grad_norm: 19.0380 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0484 loss: 1.0484 2022/07/30 20:20:26 - mmengine - INFO - Epoch(train) [46][1120/2505] lr: 5.0000e-05 eta: 8:39:16 time: 0.9272 data_time: 0.0233 memory: 32703 grad_norm: 19.1386 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9872 loss: 0.9872 2022/07/30 20:20:46 - mmengine - INFO - Epoch(train) [46][1140/2505] lr: 5.0000e-05 eta: 8:38:56 time: 1.0376 data_time: 0.0306 memory: 32703 grad_norm: 19.1063 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9572 loss: 0.9572 2022/07/30 20:21:06 - mmengine - INFO - Epoch(train) [46][1160/2505] lr: 5.0000e-05 eta: 8:38:36 time: 0.9778 data_time: 0.0259 memory: 32703 grad_norm: 18.4343 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9848 loss: 0.9848 2022/07/30 20:21:26 - mmengine - INFO - Epoch(train) [46][1180/2505] lr: 5.0000e-05 eta: 8:38:17 time: 0.9955 data_time: 0.0281 memory: 32703 grad_norm: 20.0016 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0848 loss: 1.0848 2022/07/30 20:21:45 - mmengine - INFO - Epoch(train) [46][1200/2505] lr: 5.0000e-05 eta: 8:37:57 time: 0.9577 data_time: 0.0266 memory: 32703 grad_norm: 18.8001 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0198 loss: 1.0198 2022/07/30 20:22:05 - mmengine - INFO - Epoch(train) [46][1220/2505] lr: 5.0000e-05 eta: 8:37:37 time: 1.0089 data_time: 0.0288 memory: 32703 grad_norm: 19.1505 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9684 loss: 0.9684 2022/07/30 20:22:24 - mmengine - INFO - Epoch(train) [46][1240/2505] lr: 5.0000e-05 eta: 8:37:17 time: 0.9353 data_time: 0.0283 memory: 32703 grad_norm: 18.6374 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0100 loss: 1.0100 2022/07/30 20:22:44 - mmengine - INFO - Epoch(train) [46][1260/2505] lr: 5.0000e-05 eta: 8:36:57 time: 0.9974 data_time: 0.0274 memory: 32703 grad_norm: 20.0459 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0559 loss: 1.0559 2022/07/30 20:22:59 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 20:23:03 - mmengine - INFO - Epoch(train) [46][1280/2505] lr: 5.0000e-05 eta: 8:36:37 time: 0.9426 data_time: 0.0309 memory: 32703 grad_norm: 19.5232 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0690 loss: 1.0690 2022/07/30 20:23:24 - mmengine - INFO - Epoch(train) [46][1300/2505] lr: 5.0000e-05 eta: 8:36:18 time: 1.0877 data_time: 0.0258 memory: 32703 grad_norm: 18.8385 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0864 loss: 1.0864 2022/07/30 20:23:43 - mmengine - INFO - Epoch(train) [46][1320/2505] lr: 5.0000e-05 eta: 8:35:57 time: 0.9072 data_time: 0.0306 memory: 32703 grad_norm: 19.4993 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9701 loss: 0.9701 2022/07/30 20:24:04 - mmengine - INFO - Epoch(train) [46][1340/2505] lr: 5.0000e-05 eta: 8:35:38 time: 1.0928 data_time: 0.0312 memory: 32703 grad_norm: 19.8734 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0245 loss: 1.0245 2022/07/30 20:24:23 - mmengine - INFO - Epoch(train) [46][1360/2505] lr: 5.0000e-05 eta: 8:35:18 time: 0.9073 data_time: 0.0265 memory: 32703 grad_norm: 18.3846 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1286 loss: 1.1286 2022/07/30 20:24:45 - mmengine - INFO - Epoch(train) [46][1380/2505] lr: 5.0000e-05 eta: 8:34:59 time: 1.0997 data_time: 0.0275 memory: 32703 grad_norm: 19.7076 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9940 loss: 0.9940 2022/07/30 20:25:03 - mmengine - INFO - Epoch(train) [46][1400/2505] lr: 5.0000e-05 eta: 8:34:38 time: 0.9427 data_time: 0.0278 memory: 32703 grad_norm: 19.4637 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8096 loss: 0.8096 2022/07/30 20:25:24 - mmengine - INFO - Epoch(train) [46][1420/2505] lr: 5.0000e-05 eta: 8:34:19 time: 1.0453 data_time: 0.0303 memory: 32703 grad_norm: 19.4164 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8013 loss: 0.8013 2022/07/30 20:25:43 - mmengine - INFO - Epoch(train) [46][1440/2505] lr: 5.0000e-05 eta: 8:33:59 time: 0.9061 data_time: 0.0308 memory: 32703 grad_norm: 18.5057 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0899 loss: 1.0899 2022/07/30 20:26:04 - mmengine - INFO - Epoch(train) [46][1460/2505] lr: 5.0000e-05 eta: 8:33:39 time: 1.0882 data_time: 0.0260 memory: 32703 grad_norm: 19.0004 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9416 loss: 0.9416 2022/07/30 20:26:23 - mmengine - INFO - Epoch(train) [46][1480/2505] lr: 5.0000e-05 eta: 8:33:19 time: 0.9288 data_time: 0.0289 memory: 32703 grad_norm: 18.9446 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1156 loss: 1.1156 2022/07/30 20:26:44 - mmengine - INFO - Epoch(train) [46][1500/2505] lr: 5.0000e-05 eta: 8:33:00 time: 1.0723 data_time: 0.0265 memory: 32703 grad_norm: 19.5184 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9626 loss: 0.9626 2022/07/30 20:27:02 - mmengine - INFO - Epoch(train) [46][1520/2505] lr: 5.0000e-05 eta: 8:32:39 time: 0.8729 data_time: 0.0294 memory: 32703 grad_norm: 19.0279 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9489 loss: 0.9489 2022/07/30 20:27:22 - mmengine - INFO - Epoch(train) [46][1540/2505] lr: 5.0000e-05 eta: 8:32:20 time: 1.0233 data_time: 0.0297 memory: 32703 grad_norm: 18.8228 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.9682 loss: 0.9682 2022/07/30 20:27:40 - mmengine - INFO - Epoch(train) [46][1560/2505] lr: 5.0000e-05 eta: 8:31:59 time: 0.8914 data_time: 0.0304 memory: 32703 grad_norm: 19.2977 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9405 loss: 0.9405 2022/07/30 20:28:01 - mmengine - INFO - Epoch(train) [46][1580/2505] lr: 5.0000e-05 eta: 8:31:40 time: 1.0589 data_time: 0.0304 memory: 32703 grad_norm: 20.0277 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0404 loss: 1.0404 2022/07/30 20:28:19 - mmengine - INFO - Epoch(train) [46][1600/2505] lr: 5.0000e-05 eta: 8:31:20 time: 0.9100 data_time: 0.0263 memory: 32703 grad_norm: 19.2356 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1552 loss: 1.1552 2022/07/30 20:28:41 - mmengine - INFO - Epoch(train) [46][1620/2505] lr: 5.0000e-05 eta: 8:31:00 time: 1.0556 data_time: 0.0266 memory: 32703 grad_norm: 19.2530 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9832 loss: 0.9832 2022/07/30 20:28:58 - mmengine - INFO - Epoch(train) [46][1640/2505] lr: 5.0000e-05 eta: 8:30:40 time: 0.8880 data_time: 0.0277 memory: 32703 grad_norm: 18.6605 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1217 loss: 1.1217 2022/07/30 20:29:20 - mmengine - INFO - Epoch(train) [46][1660/2505] lr: 5.0000e-05 eta: 8:30:20 time: 1.0579 data_time: 0.0283 memory: 32703 grad_norm: 19.4097 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9838 loss: 0.9838 2022/07/30 20:29:37 - mmengine - INFO - Epoch(train) [46][1680/2505] lr: 5.0000e-05 eta: 8:30:00 time: 0.8903 data_time: 0.0266 memory: 32703 grad_norm: 19.7366 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8863 loss: 0.8863 2022/07/30 20:29:57 - mmengine - INFO - Epoch(train) [46][1700/2505] lr: 5.0000e-05 eta: 8:29:40 time: 0.9879 data_time: 0.0289 memory: 32703 grad_norm: 18.0081 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0510 loss: 1.0510 2022/07/30 20:30:15 - mmengine - INFO - Epoch(train) [46][1720/2505] lr: 5.0000e-05 eta: 8:29:20 time: 0.8750 data_time: 0.0305 memory: 32703 grad_norm: 19.5847 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9681 loss: 0.9681 2022/07/30 20:30:36 - mmengine - INFO - Epoch(train) [46][1740/2505] lr: 5.0000e-05 eta: 8:29:00 time: 1.0454 data_time: 0.0289 memory: 32703 grad_norm: 18.5354 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0545 loss: 1.0545 2022/07/30 20:30:54 - mmengine - INFO - Epoch(train) [46][1760/2505] lr: 5.0000e-05 eta: 8:28:40 time: 0.9393 data_time: 0.0262 memory: 32703 grad_norm: 18.9867 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9995 loss: 0.9995 2022/07/30 20:31:15 - mmengine - INFO - Epoch(train) [46][1780/2505] lr: 5.0000e-05 eta: 8:28:20 time: 1.0126 data_time: 0.0327 memory: 32703 grad_norm: 19.2642 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0114 loss: 1.0114 2022/07/30 20:31:33 - mmengine - INFO - Epoch(train) [46][1800/2505] lr: 5.0000e-05 eta: 8:28:00 time: 0.8932 data_time: 0.0326 memory: 32703 grad_norm: 18.9747 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0333 loss: 1.0333 2022/07/30 20:31:54 - mmengine - INFO - Epoch(train) [46][1820/2505] lr: 5.0000e-05 eta: 8:27:41 time: 1.0757 data_time: 0.0320 memory: 32703 grad_norm: 18.2484 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0181 loss: 1.0181 2022/07/30 20:32:12 - mmengine - INFO - Epoch(train) [46][1840/2505] lr: 5.0000e-05 eta: 8:27:21 time: 0.9214 data_time: 0.0318 memory: 32703 grad_norm: 19.5089 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9880 loss: 0.9880 2022/07/30 20:32:34 - mmengine - INFO - Epoch(train) [46][1860/2505] lr: 5.0000e-05 eta: 8:27:01 time: 1.0559 data_time: 0.0688 memory: 32703 grad_norm: 19.0956 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0395 loss: 1.0395 2022/07/30 20:32:53 - mmengine - INFO - Epoch(train) [46][1880/2505] lr: 5.0000e-05 eta: 8:26:41 time: 0.9667 data_time: 0.1619 memory: 32703 grad_norm: 18.7432 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9434 loss: 0.9434 2022/07/30 20:33:12 - mmengine - INFO - Epoch(train) [46][1900/2505] lr: 5.0000e-05 eta: 8:26:21 time: 0.9668 data_time: 0.1762 memory: 32703 grad_norm: 19.4882 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0824 loss: 1.0824 2022/07/30 20:33:32 - mmengine - INFO - Epoch(train) [46][1920/2505] lr: 5.0000e-05 eta: 8:26:01 time: 0.9831 data_time: 0.3020 memory: 32703 grad_norm: 19.1809 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1682 loss: 1.1682 2022/07/30 20:33:52 - mmengine - INFO - Epoch(train) [46][1940/2505] lr: 5.0000e-05 eta: 8:25:41 time: 0.9751 data_time: 0.1800 memory: 32703 grad_norm: 18.9101 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9823 loss: 0.9823 2022/07/30 20:34:11 - mmengine - INFO - Epoch(train) [46][1960/2505] lr: 5.0000e-05 eta: 8:25:21 time: 0.9647 data_time: 0.2069 memory: 32703 grad_norm: 19.3736 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.9845 loss: 0.9845 2022/07/30 20:34:30 - mmengine - INFO - Epoch(train) [46][1980/2505] lr: 5.0000e-05 eta: 8:25:02 time: 0.9601 data_time: 0.1711 memory: 32703 grad_norm: 19.2446 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8962 loss: 0.8962 2022/07/30 20:34:50 - mmengine - INFO - Epoch(train) [46][2000/2505] lr: 5.0000e-05 eta: 8:24:42 time: 1.0213 data_time: 0.2388 memory: 32703 grad_norm: 19.3305 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9943 loss: 0.9943 2022/07/30 20:35:10 - mmengine - INFO - Epoch(train) [46][2020/2505] lr: 5.0000e-05 eta: 8:24:22 time: 0.9642 data_time: 0.2670 memory: 32703 grad_norm: 19.0383 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0692 loss: 1.0692 2022/07/30 20:35:31 - mmengine - INFO - Epoch(train) [46][2040/2505] lr: 5.0000e-05 eta: 8:24:03 time: 1.0760 data_time: 0.4045 memory: 32703 grad_norm: 18.8329 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2185 loss: 1.2185 2022/07/30 20:35:50 - mmengine - INFO - Epoch(train) [46][2060/2505] lr: 5.0000e-05 eta: 8:23:42 time: 0.9283 data_time: 0.2620 memory: 32703 grad_norm: 20.4693 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1353 loss: 1.1353 2022/07/30 20:36:10 - mmengine - INFO - Epoch(train) [46][2080/2505] lr: 5.0000e-05 eta: 8:23:23 time: 1.0323 data_time: 0.2221 memory: 32703 grad_norm: 19.9347 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0632 loss: 1.0632 2022/07/30 20:36:29 - mmengine - INFO - Epoch(train) [46][2100/2505] lr: 5.0000e-05 eta: 8:23:03 time: 0.9093 data_time: 0.1630 memory: 32703 grad_norm: 17.8481 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9421 loss: 0.9421 2022/07/30 20:36:49 - mmengine - INFO - Epoch(train) [46][2120/2505] lr: 5.0000e-05 eta: 8:22:43 time: 1.0198 data_time: 0.2103 memory: 32703 grad_norm: 18.6520 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9407 loss: 0.9407 2022/07/30 20:37:08 - mmengine - INFO - Epoch(train) [46][2140/2505] lr: 5.0000e-05 eta: 8:22:23 time: 0.9358 data_time: 0.2659 memory: 32703 grad_norm: 19.0809 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7900 loss: 0.7900 2022/07/30 20:37:28 - mmengine - INFO - Epoch(train) [46][2160/2505] lr: 5.0000e-05 eta: 8:22:03 time: 0.9875 data_time: 0.1732 memory: 32703 grad_norm: 19.3688 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0431 loss: 1.0431 2022/07/30 20:37:47 - mmengine - INFO - Epoch(train) [46][2180/2505] lr: 5.0000e-05 eta: 8:21:43 time: 0.9802 data_time: 0.1854 memory: 32703 grad_norm: 19.5455 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0509 loss: 1.0509 2022/07/30 20:38:07 - mmengine - INFO - Epoch(train) [46][2200/2505] lr: 5.0000e-05 eta: 8:21:23 time: 0.9961 data_time: 0.2134 memory: 32703 grad_norm: 19.6681 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0606 loss: 1.0606 2022/07/30 20:38:26 - mmengine - INFO - Epoch(train) [46][2220/2505] lr: 5.0000e-05 eta: 8:21:03 time: 0.9300 data_time: 0.2434 memory: 32703 grad_norm: 19.2965 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9848 loss: 0.9848 2022/07/30 20:38:46 - mmengine - INFO - Epoch(train) [46][2240/2505] lr: 5.0000e-05 eta: 8:20:43 time: 1.0192 data_time: 0.3127 memory: 32703 grad_norm: 19.6433 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9221 loss: 0.9221 2022/07/30 20:39:05 - mmengine - INFO - Epoch(train) [46][2260/2505] lr: 5.0000e-05 eta: 8:20:23 time: 0.9352 data_time: 0.2154 memory: 32703 grad_norm: 19.7796 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9769 loss: 0.9769 2022/07/30 20:39:19 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 20:39:25 - mmengine - INFO - Epoch(train) [46][2280/2505] lr: 5.0000e-05 eta: 8:20:04 time: 1.0163 data_time: 0.2869 memory: 32703 grad_norm: 19.0763 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8746 loss: 0.8746 2022/07/30 20:39:44 - mmengine - INFO - Epoch(train) [46][2300/2505] lr: 5.0000e-05 eta: 8:19:44 time: 0.9470 data_time: 0.3017 memory: 32703 grad_norm: 19.3382 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1078 loss: 1.1078 2022/07/30 20:40:04 - mmengine - INFO - Epoch(train) [46][2320/2505] lr: 5.0000e-05 eta: 8:19:24 time: 1.0076 data_time: 0.4192 memory: 32703 grad_norm: 19.3197 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9801 loss: 0.9801 2022/07/30 20:40:23 - mmengine - INFO - Epoch(train) [46][2340/2505] lr: 5.0000e-05 eta: 8:19:04 time: 0.9532 data_time: 0.3651 memory: 32703 grad_norm: 19.7590 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0859 loss: 1.0859 2022/07/30 20:40:44 - mmengine - INFO - Epoch(train) [46][2360/2505] lr: 5.0000e-05 eta: 8:18:44 time: 1.0296 data_time: 0.4304 memory: 32703 grad_norm: 20.0005 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0118 loss: 1.0118 2022/07/30 20:41:03 - mmengine - INFO - Epoch(train) [46][2380/2505] lr: 5.0000e-05 eta: 8:18:24 time: 0.9756 data_time: 0.3859 memory: 32703 grad_norm: 19.5335 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1101 loss: 1.1101 2022/07/30 20:41:23 - mmengine - INFO - Epoch(train) [46][2400/2505] lr: 5.0000e-05 eta: 8:18:05 time: 0.9797 data_time: 0.3671 memory: 32703 grad_norm: 18.9619 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0782 loss: 1.0782 2022/07/30 20:41:42 - mmengine - INFO - Epoch(train) [46][2420/2505] lr: 5.0000e-05 eta: 8:17:45 time: 0.9517 data_time: 0.3776 memory: 32703 grad_norm: 18.6764 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0660 loss: 1.0660 2022/07/30 20:42:03 - mmengine - INFO - Epoch(train) [46][2440/2505] lr: 5.0000e-05 eta: 8:17:25 time: 1.0531 data_time: 0.4456 memory: 32703 grad_norm: 19.0493 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0532 loss: 1.0532 2022/07/30 20:42:22 - mmengine - INFO - Epoch(train) [46][2460/2505] lr: 5.0000e-05 eta: 8:17:05 time: 0.9205 data_time: 0.3159 memory: 32703 grad_norm: 18.4664 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1221 loss: 1.1221 2022/07/30 20:42:42 - mmengine - INFO - Epoch(train) [46][2480/2505] lr: 5.0000e-05 eta: 8:16:45 time: 1.0280 data_time: 0.4483 memory: 32703 grad_norm: 19.1749 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1577 loss: 1.1577 2022/07/30 20:42:59 - mmengine - INFO - Epoch(train) [46][2500/2505] lr: 5.0000e-05 eta: 8:16:25 time: 0.8601 data_time: 0.2439 memory: 32703 grad_norm: 18.9362 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9986 loss: 0.9986 2022/07/30 20:43:03 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 20:43:03 - mmengine - INFO - Epoch(train) [46][2505/2505] lr: 5.0000e-05 eta: 8:16:25 time: 0.8903 data_time: 0.2362 memory: 32703 grad_norm: 19.4383 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0768 loss: 1.0768 2022/07/30 20:43:03 - mmengine - INFO - Saving checkpoint at 46 epochs 2022/07/30 20:43:33 - mmengine - INFO - Epoch(train) [47][20/2505] lr: 5.0000e-05 eta: 8:16:00 time: 1.2053 data_time: 0.6140 memory: 32703 grad_norm: 19.0480 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0364 loss: 1.0364 2022/07/30 20:43:51 - mmengine - INFO - Epoch(train) [47][40/2505] lr: 5.0000e-05 eta: 8:15:39 time: 0.8822 data_time: 0.2883 memory: 32703 grad_norm: 19.5469 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9953 loss: 0.9953 2022/07/30 20:44:12 - mmengine - INFO - Epoch(train) [47][60/2505] lr: 5.0000e-05 eta: 8:15:20 time: 1.0892 data_time: 0.4753 memory: 32703 grad_norm: 18.9709 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0819 loss: 1.0819 2022/07/30 20:44:30 - mmengine - INFO - Epoch(train) [47][80/2505] lr: 5.0000e-05 eta: 8:15:00 time: 0.8899 data_time: 0.3077 memory: 32703 grad_norm: 18.6182 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1430 loss: 1.1430 2022/07/30 20:44:51 - mmengine - INFO - Epoch(train) [47][100/2505] lr: 5.0000e-05 eta: 8:14:40 time: 1.0617 data_time: 0.4533 memory: 32703 grad_norm: 19.2039 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1820 loss: 1.1820 2022/07/30 20:45:10 - mmengine - INFO - Epoch(train) [47][120/2505] lr: 5.0000e-05 eta: 8:14:20 time: 0.9097 data_time: 0.3220 memory: 32703 grad_norm: 19.0102 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8847 loss: 0.8847 2022/07/30 20:45:30 - mmengine - INFO - Epoch(train) [47][140/2505] lr: 5.0000e-05 eta: 8:14:01 time: 1.0339 data_time: 0.4254 memory: 32703 grad_norm: 18.7970 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9846 loss: 0.9846 2022/07/30 20:45:49 - mmengine - INFO - Epoch(train) [47][160/2505] lr: 5.0000e-05 eta: 8:13:40 time: 0.9220 data_time: 0.3087 memory: 32703 grad_norm: 19.0804 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8049 loss: 0.8049 2022/07/30 20:46:09 - mmengine - INFO - Epoch(train) [47][180/2505] lr: 5.0000e-05 eta: 8:13:21 time: 1.0082 data_time: 0.4255 memory: 32703 grad_norm: 18.4646 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0324 loss: 1.0324 2022/07/30 20:46:27 - mmengine - INFO - Epoch(train) [47][200/2505] lr: 5.0000e-05 eta: 8:13:00 time: 0.9262 data_time: 0.3240 memory: 32703 grad_norm: 19.0561 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1799 loss: 1.1799 2022/07/30 20:46:48 - mmengine - INFO - Epoch(train) [47][220/2505] lr: 5.0000e-05 eta: 8:12:41 time: 1.0283 data_time: 0.4107 memory: 32703 grad_norm: 19.2964 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1243 loss: 1.1243 2022/07/30 20:47:07 - mmengine - INFO - Epoch(train) [47][240/2505] lr: 5.0000e-05 eta: 8:12:21 time: 0.9453 data_time: 0.3347 memory: 32703 grad_norm: 18.8932 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2082 loss: 1.2082 2022/07/30 20:47:27 - mmengine - INFO - Epoch(train) [47][260/2505] lr: 5.0000e-05 eta: 8:12:01 time: 0.9972 data_time: 0.4188 memory: 32703 grad_norm: 18.4154 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9965 loss: 0.9965 2022/07/30 20:47:46 - mmengine - INFO - Epoch(train) [47][280/2505] lr: 5.0000e-05 eta: 8:11:41 time: 0.9546 data_time: 0.3753 memory: 32703 grad_norm: 19.2823 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0963 loss: 1.0963 2022/07/30 20:48:06 - mmengine - INFO - Epoch(train) [47][300/2505] lr: 5.0000e-05 eta: 8:11:21 time: 0.9819 data_time: 0.3796 memory: 32703 grad_norm: 18.8367 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9595 loss: 0.9595 2022/07/30 20:48:25 - mmengine - INFO - Epoch(train) [47][320/2505] lr: 5.0000e-05 eta: 8:11:01 time: 0.9415 data_time: 0.3377 memory: 32703 grad_norm: 18.6025 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8810 loss: 0.8810 2022/07/30 20:48:44 - mmengine - INFO - Epoch(train) [47][340/2505] lr: 5.0000e-05 eta: 8:10:41 time: 0.9899 data_time: 0.2976 memory: 32703 grad_norm: 19.3459 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1894 loss: 1.1894 2022/07/30 20:49:05 - mmengine - INFO - Epoch(train) [47][360/2505] lr: 5.0000e-05 eta: 8:10:22 time: 1.0476 data_time: 0.4478 memory: 32703 grad_norm: 20.3345 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1663 loss: 1.1663 2022/07/30 20:49:23 - mmengine - INFO - Epoch(train) [47][380/2505] lr: 5.0000e-05 eta: 8:10:01 time: 0.8904 data_time: 0.2842 memory: 32703 grad_norm: 20.2264 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9789 loss: 0.9789 2022/07/30 20:49:44 - mmengine - INFO - Epoch(train) [47][400/2505] lr: 5.0000e-05 eta: 8:09:42 time: 1.0391 data_time: 0.4269 memory: 32703 grad_norm: 19.4411 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9240 loss: 0.9240 2022/07/30 20:50:03 - mmengine - INFO - Epoch(train) [47][420/2505] lr: 5.0000e-05 eta: 8:09:22 time: 0.9720 data_time: 0.4011 memory: 32703 grad_norm: 18.6346 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1691 loss: 1.1691 2022/07/30 20:50:23 - mmengine - INFO - Epoch(train) [47][440/2505] lr: 5.0000e-05 eta: 8:09:02 time: 1.0075 data_time: 0.4352 memory: 32703 grad_norm: 19.7834 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9540 loss: 0.9540 2022/07/30 20:50:44 - mmengine - INFO - Epoch(train) [47][460/2505] lr: 5.0000e-05 eta: 8:08:43 time: 1.0173 data_time: 0.4290 memory: 32703 grad_norm: 18.5329 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7849 loss: 0.7849 2022/07/30 20:51:03 - mmengine - INFO - Epoch(train) [47][480/2505] lr: 5.0000e-05 eta: 8:08:23 time: 0.9548 data_time: 0.3596 memory: 32703 grad_norm: 19.0772 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9235 loss: 0.9235 2022/07/30 20:51:23 - mmengine - INFO - Epoch(train) [47][500/2505] lr: 5.0000e-05 eta: 8:08:03 time: 1.0113 data_time: 0.4150 memory: 32703 grad_norm: 20.0232 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8991 loss: 0.8991 2022/07/30 20:51:42 - mmengine - INFO - Epoch(train) [47][520/2505] lr: 5.0000e-05 eta: 8:07:43 time: 0.9247 data_time: 0.3513 memory: 32703 grad_norm: 18.7484 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0711 loss: 1.0711 2022/07/30 20:52:03 - mmengine - INFO - Epoch(train) [47][540/2505] lr: 5.0000e-05 eta: 8:07:23 time: 1.0449 data_time: 0.4350 memory: 32703 grad_norm: 18.5425 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0977 loss: 1.0977 2022/07/30 20:52:23 - mmengine - INFO - Epoch(train) [47][560/2505] lr: 5.0000e-05 eta: 8:07:03 time: 1.0047 data_time: 0.4183 memory: 32703 grad_norm: 18.8898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9357 loss: 0.9357 2022/07/30 20:52:40 - mmengine - INFO - Epoch(train) [47][580/2505] lr: 5.0000e-05 eta: 8:06:43 time: 0.8740 data_time: 0.2882 memory: 32703 grad_norm: 19.3241 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1550 loss: 1.1550 2022/07/30 20:53:01 - mmengine - INFO - Epoch(train) [47][600/2505] lr: 5.0000e-05 eta: 8:06:24 time: 1.0528 data_time: 0.4441 memory: 32703 grad_norm: 18.9846 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9476 loss: 0.9476 2022/07/30 20:53:19 - mmengine - INFO - Epoch(train) [47][620/2505] lr: 5.0000e-05 eta: 8:06:03 time: 0.8909 data_time: 0.3096 memory: 32703 grad_norm: 19.0096 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9700 loss: 0.9700 2022/07/30 20:53:40 - mmengine - INFO - Epoch(train) [47][640/2505] lr: 5.0000e-05 eta: 8:05:44 time: 1.0586 data_time: 0.4548 memory: 32703 grad_norm: 20.2591 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1801 loss: 1.1801 2022/07/30 20:53:59 - mmengine - INFO - Epoch(train) [47][660/2505] lr: 5.0000e-05 eta: 8:05:24 time: 0.9236 data_time: 0.3218 memory: 32703 grad_norm: 18.8979 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0760 loss: 1.0760 2022/07/30 20:54:19 - mmengine - INFO - Epoch(train) [47][680/2505] lr: 5.0000e-05 eta: 8:05:04 time: 1.0299 data_time: 0.4145 memory: 32703 grad_norm: 19.6091 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.2331 loss: 1.2331 2022/07/30 20:54:38 - mmengine - INFO - Epoch(train) [47][700/2505] lr: 5.0000e-05 eta: 8:04:44 time: 0.9340 data_time: 0.3425 memory: 32703 grad_norm: 18.3316 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9621 loss: 0.9621 2022/07/30 20:54:59 - mmengine - INFO - Epoch(train) [47][720/2505] lr: 5.0000e-05 eta: 8:04:24 time: 1.0560 data_time: 0.4670 memory: 32703 grad_norm: 18.1814 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8863 loss: 0.8863 2022/07/30 20:55:17 - mmengine - INFO - Epoch(train) [47][740/2505] lr: 5.0000e-05 eta: 8:04:04 time: 0.9195 data_time: 0.3147 memory: 32703 grad_norm: 19.2021 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1207 loss: 1.1207 2022/07/30 20:55:38 - mmengine - INFO - Epoch(train) [47][760/2505] lr: 5.0000e-05 eta: 8:03:45 time: 1.0365 data_time: 0.4523 memory: 32703 grad_norm: 19.2081 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 1.1693 loss: 1.1693 2022/07/30 20:55:48 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 20:55:57 - mmengine - INFO - Epoch(train) [47][780/2505] lr: 5.0000e-05 eta: 8:03:24 time: 0.9177 data_time: 0.3056 memory: 32703 grad_norm: 18.6171 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9161 loss: 0.9161 2022/07/30 20:56:18 - mmengine - INFO - Epoch(train) [47][800/2505] lr: 5.0000e-05 eta: 8:03:05 time: 1.0492 data_time: 0.4342 memory: 32703 grad_norm: 18.1924 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0206 loss: 1.0206 2022/07/30 20:56:35 - mmengine - INFO - Epoch(train) [47][820/2505] lr: 5.0000e-05 eta: 8:02:45 time: 0.8694 data_time: 0.2706 memory: 32703 grad_norm: 19.2350 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1493 loss: 1.1493 2022/07/30 20:56:56 - mmengine - INFO - Epoch(train) [47][840/2505] lr: 5.0000e-05 eta: 8:02:25 time: 1.0359 data_time: 0.4367 memory: 32703 grad_norm: 19.9333 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1784 loss: 1.1784 2022/07/30 20:57:14 - mmengine - INFO - Epoch(train) [47][860/2505] lr: 5.0000e-05 eta: 8:02:05 time: 0.9360 data_time: 0.3300 memory: 32703 grad_norm: 18.9842 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8109 loss: 0.8109 2022/07/30 20:57:36 - mmengine - INFO - Epoch(train) [47][880/2505] lr: 5.0000e-05 eta: 8:01:45 time: 1.0539 data_time: 0.4362 memory: 32703 grad_norm: 19.5126 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9459 loss: 0.9459 2022/07/30 20:57:53 - mmengine - INFO - Epoch(train) [47][900/2505] lr: 5.0000e-05 eta: 8:01:25 time: 0.8845 data_time: 0.2312 memory: 32703 grad_norm: 19.8309 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9924 loss: 0.9924 2022/07/30 20:58:13 - mmengine - INFO - Epoch(train) [47][920/2505] lr: 5.0000e-05 eta: 8:01:05 time: 0.9683 data_time: 0.2995 memory: 32703 grad_norm: 19.3429 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9505 loss: 0.9505 2022/07/30 20:58:32 - mmengine - INFO - Epoch(train) [47][940/2505] lr: 5.0000e-05 eta: 8:00:45 time: 0.9750 data_time: 0.2558 memory: 32703 grad_norm: 19.6391 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0072 loss: 1.0072 2022/07/30 20:58:52 - mmengine - INFO - Epoch(train) [47][960/2505] lr: 5.0000e-05 eta: 8:00:26 time: 1.0121 data_time: 0.3440 memory: 32703 grad_norm: 19.0335 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9140 loss: 0.9140 2022/07/30 20:59:14 - mmengine - INFO - Epoch(train) [47][980/2505] lr: 5.0000e-05 eta: 8:00:06 time: 1.0690 data_time: 0.3013 memory: 32703 grad_norm: 19.2821 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1100 loss: 1.1100 2022/07/30 20:59:32 - mmengine - INFO - Epoch(train) [47][1000/2505] lr: 5.0000e-05 eta: 7:59:46 time: 0.9195 data_time: 0.1649 memory: 32703 grad_norm: 19.3171 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1265 loss: 1.1265 2022/07/30 20:59:53 - mmengine - INFO - Epoch(train) [47][1020/2505] lr: 5.0000e-05 eta: 7:59:26 time: 1.0206 data_time: 0.1061 memory: 32703 grad_norm: 19.5290 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9947 loss: 0.9947 2022/07/30 21:00:12 - mmengine - INFO - Epoch(train) [47][1040/2505] lr: 5.0000e-05 eta: 7:59:06 time: 0.9669 data_time: 0.1864 memory: 32703 grad_norm: 18.7573 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8433 loss: 0.8433 2022/07/30 21:00:33 - mmengine - INFO - Epoch(train) [47][1060/2505] lr: 5.0000e-05 eta: 7:58:47 time: 1.0737 data_time: 0.2850 memory: 32703 grad_norm: 19.1293 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 1.0943 loss: 1.0943 2022/07/30 21:00:51 - mmengine - INFO - Epoch(train) [47][1080/2505] lr: 5.0000e-05 eta: 7:58:27 time: 0.8804 data_time: 0.1644 memory: 32703 grad_norm: 19.4537 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2182 loss: 1.2182 2022/07/30 21:01:12 - mmengine - INFO - Epoch(train) [47][1100/2505] lr: 5.0000e-05 eta: 7:58:07 time: 1.0561 data_time: 0.1556 memory: 32703 grad_norm: 18.6350 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0820 loss: 1.0820 2022/07/30 21:01:31 - mmengine - INFO - Epoch(train) [47][1120/2505] lr: 5.0000e-05 eta: 7:57:47 time: 0.9239 data_time: 0.1141 memory: 32703 grad_norm: 18.7866 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8919 loss: 0.8919 2022/07/30 21:01:51 - mmengine - INFO - Epoch(train) [47][1140/2505] lr: 5.0000e-05 eta: 7:57:27 time: 1.0212 data_time: 0.0701 memory: 32703 grad_norm: 18.6132 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0868 loss: 1.0868 2022/07/30 21:02:09 - mmengine - INFO - Epoch(train) [47][1160/2505] lr: 5.0000e-05 eta: 7:57:07 time: 0.9066 data_time: 0.0267 memory: 32703 grad_norm: 19.3104 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.7820 loss: 0.7820 2022/07/30 21:02:30 - mmengine - INFO - Epoch(train) [47][1180/2505] lr: 5.0000e-05 eta: 7:56:47 time: 1.0278 data_time: 0.0358 memory: 32703 grad_norm: 19.4068 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0282 loss: 1.0282 2022/07/30 21:02:48 - mmengine - INFO - Epoch(train) [47][1200/2505] lr: 5.0000e-05 eta: 7:56:27 time: 0.9340 data_time: 0.0280 memory: 32703 grad_norm: 19.3735 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0567 loss: 1.0567 2022/07/30 21:03:09 - mmengine - INFO - Epoch(train) [47][1220/2505] lr: 5.0000e-05 eta: 7:56:08 time: 1.0391 data_time: 0.0550 memory: 32703 grad_norm: 20.3111 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9179 loss: 0.9179 2022/07/30 21:03:28 - mmengine - INFO - Epoch(train) [47][1240/2505] lr: 5.0000e-05 eta: 7:55:48 time: 0.9260 data_time: 0.0540 memory: 32703 grad_norm: 19.2382 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0383 loss: 1.0383 2022/07/30 21:03:48 - mmengine - INFO - Epoch(train) [47][1260/2505] lr: 5.0000e-05 eta: 7:55:28 time: 0.9910 data_time: 0.1300 memory: 32703 grad_norm: 19.5065 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0108 loss: 1.0108 2022/07/30 21:04:07 - mmengine - INFO - Epoch(train) [47][1280/2505] lr: 5.0000e-05 eta: 7:55:08 time: 0.9881 data_time: 0.1729 memory: 32703 grad_norm: 18.7531 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7974 loss: 0.7974 2022/07/30 21:04:27 - mmengine - INFO - Epoch(train) [47][1300/2505] lr: 5.0000e-05 eta: 7:54:48 time: 0.9999 data_time: 0.1169 memory: 32703 grad_norm: 18.6233 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8808 loss: 0.8808 2022/07/30 21:04:46 - mmengine - INFO - Epoch(train) [47][1320/2505] lr: 5.0000e-05 eta: 7:54:28 time: 0.9370 data_time: 0.1246 memory: 32703 grad_norm: 19.1725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9710 loss: 0.9710 2022/07/30 21:05:07 - mmengine - INFO - Epoch(train) [47][1340/2505] lr: 5.0000e-05 eta: 7:54:09 time: 1.0455 data_time: 0.0491 memory: 32703 grad_norm: 18.7290 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9270 loss: 0.9270 2022/07/30 21:05:25 - mmengine - INFO - Epoch(train) [47][1360/2505] lr: 5.0000e-05 eta: 7:53:48 time: 0.9180 data_time: 0.0256 memory: 32703 grad_norm: 19.2046 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1786 loss: 1.1786 2022/07/30 21:05:46 - mmengine - INFO - Epoch(train) [47][1380/2505] lr: 5.0000e-05 eta: 7:53:29 time: 1.0433 data_time: 0.0271 memory: 32703 grad_norm: 19.1582 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1357 loss: 1.1357 2022/07/30 21:06:05 - mmengine - INFO - Epoch(train) [47][1400/2505] lr: 5.0000e-05 eta: 7:53:09 time: 0.9265 data_time: 0.0326 memory: 32703 grad_norm: 20.1996 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9016 loss: 0.9016 2022/07/30 21:06:24 - mmengine - INFO - Epoch(train) [47][1420/2505] lr: 5.0000e-05 eta: 7:52:49 time: 0.9448 data_time: 0.0288 memory: 32703 grad_norm: 20.1589 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0066 loss: 1.0066 2022/07/30 21:06:43 - mmengine - INFO - Epoch(train) [47][1440/2505] lr: 5.0000e-05 eta: 7:52:29 time: 0.9725 data_time: 0.0303 memory: 32703 grad_norm: 19.0187 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9589 loss: 0.9589 2022/07/30 21:07:03 - mmengine - INFO - Epoch(train) [47][1460/2505] lr: 5.0000e-05 eta: 7:52:09 time: 0.9844 data_time: 0.0282 memory: 32703 grad_norm: 19.2154 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0246 loss: 1.0246 2022/07/30 21:07:23 - mmengine - INFO - Epoch(train) [47][1480/2505] lr: 5.0000e-05 eta: 7:51:49 time: 1.0207 data_time: 0.0328 memory: 32703 grad_norm: 19.1874 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8752 loss: 0.8752 2022/07/30 21:07:42 - mmengine - INFO - Epoch(train) [47][1500/2505] lr: 5.0000e-05 eta: 7:51:29 time: 0.9434 data_time: 0.0281 memory: 32703 grad_norm: 18.7232 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0168 loss: 1.0168 2022/07/30 21:08:03 - mmengine - INFO - Epoch(train) [47][1520/2505] lr: 5.0000e-05 eta: 7:51:10 time: 1.0199 data_time: 0.0261 memory: 32703 grad_norm: 19.3854 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1267 loss: 1.1267 2022/07/30 21:08:22 - mmengine - INFO - Epoch(train) [47][1540/2505] lr: 5.0000e-05 eta: 7:50:50 time: 0.9683 data_time: 0.1122 memory: 32703 grad_norm: 18.6719 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9550 loss: 0.9550 2022/07/30 21:08:42 - mmengine - INFO - Epoch(train) [47][1560/2505] lr: 5.0000e-05 eta: 7:50:30 time: 0.9761 data_time: 0.0374 memory: 32703 grad_norm: 19.5856 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9675 loss: 0.9675 2022/07/30 21:09:02 - mmengine - INFO - Epoch(train) [47][1580/2505] lr: 5.0000e-05 eta: 7:50:10 time: 1.0037 data_time: 0.0324 memory: 32703 grad_norm: 18.9586 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0076 loss: 1.0076 2022/07/30 21:09:20 - mmengine - INFO - Epoch(train) [47][1600/2505] lr: 5.0000e-05 eta: 7:49:50 time: 0.9394 data_time: 0.0415 memory: 32703 grad_norm: 18.5363 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0055 loss: 1.0055 2022/07/30 21:09:42 - mmengine - INFO - Epoch(train) [47][1620/2505] lr: 5.0000e-05 eta: 7:49:31 time: 1.0888 data_time: 0.0269 memory: 32703 grad_norm: 18.8909 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9917 loss: 0.9917 2022/07/30 21:10:00 - mmengine - INFO - Epoch(train) [47][1640/2505] lr: 5.0000e-05 eta: 7:49:10 time: 0.8911 data_time: 0.0322 memory: 32703 grad_norm: 19.2330 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9766 loss: 0.9766 2022/07/30 21:10:21 - mmengine - INFO - Epoch(train) [47][1660/2505] lr: 5.0000e-05 eta: 7:48:51 time: 1.0474 data_time: 0.0666 memory: 32703 grad_norm: 18.9334 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7434 loss: 0.7434 2022/07/30 21:10:39 - mmengine - INFO - Epoch(train) [47][1680/2505] lr: 5.0000e-05 eta: 7:48:31 time: 0.9107 data_time: 0.0568 memory: 32703 grad_norm: 19.8285 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1200 loss: 1.1200 2022/07/30 21:11:01 - mmengine - INFO - Epoch(train) [47][1700/2505] lr: 5.0000e-05 eta: 7:48:11 time: 1.0669 data_time: 0.0273 memory: 32703 grad_norm: 19.3295 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1117 loss: 1.1117 2022/07/30 21:11:19 - mmengine - INFO - Epoch(train) [47][1720/2505] lr: 5.0000e-05 eta: 7:47:51 time: 0.9474 data_time: 0.0265 memory: 32703 grad_norm: 18.7184 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7985 loss: 0.7985 2022/07/30 21:11:40 - mmengine - INFO - Epoch(train) [47][1740/2505] lr: 5.0000e-05 eta: 7:47:32 time: 1.0349 data_time: 0.0277 memory: 32703 grad_norm: 19.3143 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2216 loss: 1.2216 2022/07/30 21:11:59 - mmengine - INFO - Epoch(train) [47][1760/2505] lr: 5.0000e-05 eta: 7:47:11 time: 0.9286 data_time: 0.0269 memory: 32703 grad_norm: 19.0767 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2269 loss: 1.2269 2022/07/30 21:12:09 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 21:12:19 - mmengine - INFO - Epoch(train) [47][1780/2505] lr: 5.0000e-05 eta: 7:46:52 time: 0.9988 data_time: 0.0276 memory: 32703 grad_norm: 19.5892 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2528 loss: 1.2528 2022/07/30 21:12:39 - mmengine - INFO - Epoch(train) [47][1800/2505] lr: 5.0000e-05 eta: 7:46:32 time: 1.0063 data_time: 0.0282 memory: 32703 grad_norm: 18.7918 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.6846 loss: 0.6846 2022/07/30 21:12:58 - mmengine - INFO - Epoch(train) [47][1820/2505] lr: 5.0000e-05 eta: 7:46:12 time: 0.9343 data_time: 0.0358 memory: 32703 grad_norm: 19.6024 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1112 loss: 1.1112 2022/07/30 21:13:18 - mmengine - INFO - Epoch(train) [47][1840/2505] lr: 5.0000e-05 eta: 7:45:52 time: 1.0432 data_time: 0.0337 memory: 32703 grad_norm: 19.1208 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0854 loss: 1.0854 2022/07/30 21:13:36 - mmengine - INFO - Epoch(train) [47][1860/2505] lr: 5.0000e-05 eta: 7:45:32 time: 0.8631 data_time: 0.0274 memory: 32703 grad_norm: 18.8587 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8652 loss: 0.8652 2022/07/30 21:13:57 - mmengine - INFO - Epoch(train) [47][1880/2505] lr: 5.0000e-05 eta: 7:45:12 time: 1.0403 data_time: 0.0266 memory: 32703 grad_norm: 19.2259 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9617 loss: 0.9617 2022/07/30 21:14:15 - mmengine - INFO - Epoch(train) [47][1900/2505] lr: 5.0000e-05 eta: 7:44:52 time: 0.9403 data_time: 0.0302 memory: 32703 grad_norm: 19.8997 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0271 loss: 1.0271 2022/07/30 21:14:36 - mmengine - INFO - Epoch(train) [47][1920/2505] lr: 5.0000e-05 eta: 7:44:33 time: 1.0299 data_time: 0.0296 memory: 32703 grad_norm: 19.2874 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0842 loss: 1.0842 2022/07/30 21:14:55 - mmengine - INFO - Epoch(train) [47][1940/2505] lr: 5.0000e-05 eta: 7:44:13 time: 0.9247 data_time: 0.0324 memory: 32703 grad_norm: 19.4140 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0014 loss: 1.0014 2022/07/30 21:15:17 - mmengine - INFO - Epoch(train) [47][1960/2505] lr: 5.0000e-05 eta: 7:43:53 time: 1.1290 data_time: 0.0320 memory: 32703 grad_norm: 19.7579 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0827 loss: 1.0827 2022/07/30 21:15:34 - mmengine - INFO - Epoch(train) [47][1980/2505] lr: 5.0000e-05 eta: 7:43:33 time: 0.8722 data_time: 0.0363 memory: 32703 grad_norm: 17.9970 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9885 loss: 0.9885 2022/07/30 21:15:55 - mmengine - INFO - Epoch(train) [47][2000/2505] lr: 5.0000e-05 eta: 7:43:13 time: 1.0467 data_time: 0.0275 memory: 32703 grad_norm: 19.3148 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0635 loss: 1.0635 2022/07/30 21:16:14 - mmengine - INFO - Epoch(train) [47][2020/2505] lr: 5.0000e-05 eta: 7:42:53 time: 0.9223 data_time: 0.0293 memory: 32703 grad_norm: 19.2502 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9083 loss: 0.9083 2022/07/30 21:16:34 - mmengine - INFO - Epoch(train) [47][2040/2505] lr: 5.0000e-05 eta: 7:42:34 time: 1.0154 data_time: 0.0269 memory: 32703 grad_norm: 19.1962 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2626 loss: 1.2626 2022/07/30 21:16:51 - mmengine - INFO - Epoch(train) [47][2060/2505] lr: 5.0000e-05 eta: 7:42:13 time: 0.8507 data_time: 0.0293 memory: 32703 grad_norm: 18.6943 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0927 loss: 1.0927 2022/07/30 21:17:13 - mmengine - INFO - Epoch(train) [47][2080/2505] lr: 5.0000e-05 eta: 7:41:54 time: 1.0678 data_time: 0.0277 memory: 32703 grad_norm: 19.4177 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9497 loss: 0.9497 2022/07/30 21:17:31 - mmengine - INFO - Epoch(train) [47][2100/2505] lr: 5.0000e-05 eta: 7:41:34 time: 0.9026 data_time: 0.0261 memory: 32703 grad_norm: 19.9552 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1140 loss: 1.1140 2022/07/30 21:17:51 - mmengine - INFO - Epoch(train) [47][2120/2505] lr: 5.0000e-05 eta: 7:41:14 time: 1.0037 data_time: 0.0315 memory: 32703 grad_norm: 18.7240 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9734 loss: 0.9734 2022/07/30 21:18:09 - mmengine - INFO - Epoch(train) [47][2140/2505] lr: 5.0000e-05 eta: 7:40:54 time: 0.9196 data_time: 0.0266 memory: 32703 grad_norm: 19.0877 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7891 loss: 0.7891 2022/07/30 21:18:30 - mmengine - INFO - Epoch(train) [47][2160/2505] lr: 5.0000e-05 eta: 7:40:34 time: 1.0447 data_time: 0.0317 memory: 32703 grad_norm: 19.9424 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0435 loss: 1.0435 2022/07/30 21:18:48 - mmengine - INFO - Epoch(train) [47][2180/2505] lr: 5.0000e-05 eta: 7:40:14 time: 0.9138 data_time: 0.0289 memory: 32703 grad_norm: 19.6508 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.3288 loss: 1.3288 2022/07/30 21:19:10 - mmengine - INFO - Epoch(train) [47][2200/2505] lr: 5.0000e-05 eta: 7:39:54 time: 1.0624 data_time: 0.0331 memory: 32703 grad_norm: 19.2115 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0812 loss: 1.0812 2022/07/30 21:19:28 - mmengine - INFO - Epoch(train) [47][2220/2505] lr: 5.0000e-05 eta: 7:39:34 time: 0.9425 data_time: 0.0294 memory: 32703 grad_norm: 18.4605 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0116 loss: 1.0116 2022/07/30 21:19:49 - mmengine - INFO - Epoch(train) [47][2240/2505] lr: 5.0000e-05 eta: 7:39:15 time: 1.0420 data_time: 0.0254 memory: 32703 grad_norm: 18.7065 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9300 loss: 0.9300 2022/07/30 21:20:09 - mmengine - INFO - Epoch(train) [47][2260/2505] lr: 5.0000e-05 eta: 7:38:55 time: 0.9659 data_time: 0.0300 memory: 32703 grad_norm: 18.8985 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7883 loss: 0.7883 2022/07/30 21:20:29 - mmengine - INFO - Epoch(train) [47][2280/2505] lr: 5.0000e-05 eta: 7:38:35 time: 0.9998 data_time: 0.0304 memory: 32703 grad_norm: 19.4881 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0408 loss: 1.0408 2022/07/30 21:20:47 - mmengine - INFO - Epoch(train) [47][2300/2505] lr: 5.0000e-05 eta: 7:38:15 time: 0.9243 data_time: 0.0282 memory: 32703 grad_norm: 19.4730 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0065 loss: 1.0065 2022/07/30 21:21:08 - mmengine - INFO - Epoch(train) [47][2320/2505] lr: 5.0000e-05 eta: 7:37:56 time: 1.0670 data_time: 0.0286 memory: 32703 grad_norm: 18.9064 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0412 loss: 1.0412 2022/07/30 21:21:28 - mmengine - INFO - Epoch(train) [47][2340/2505] lr: 5.0000e-05 eta: 7:37:36 time: 0.9555 data_time: 0.0278 memory: 32703 grad_norm: 18.5575 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0306 loss: 1.0306 2022/07/30 21:21:49 - mmengine - INFO - Epoch(train) [47][2360/2505] lr: 5.0000e-05 eta: 7:37:16 time: 1.0474 data_time: 0.0265 memory: 32703 grad_norm: 19.6954 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0520 loss: 1.0520 2022/07/30 21:22:07 - mmengine - INFO - Epoch(train) [47][2380/2505] lr: 5.0000e-05 eta: 7:36:56 time: 0.9152 data_time: 0.0314 memory: 32703 grad_norm: 18.5153 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9447 loss: 0.9447 2022/07/30 21:22:29 - mmengine - INFO - Epoch(train) [47][2400/2505] lr: 5.0000e-05 eta: 7:36:37 time: 1.0848 data_time: 0.0278 memory: 32703 grad_norm: 19.3848 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0102 loss: 1.0102 2022/07/30 21:22:46 - mmengine - INFO - Epoch(train) [47][2420/2505] lr: 5.0000e-05 eta: 7:36:16 time: 0.8913 data_time: 0.0306 memory: 32703 grad_norm: 18.2859 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1116 loss: 1.1116 2022/07/30 21:23:08 - mmengine - INFO - Epoch(train) [47][2440/2505] lr: 5.0000e-05 eta: 7:35:57 time: 1.0737 data_time: 0.0279 memory: 32703 grad_norm: 19.1612 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9011 loss: 0.9011 2022/07/30 21:23:25 - mmengine - INFO - Epoch(train) [47][2460/2505] lr: 5.0000e-05 eta: 7:35:36 time: 0.8508 data_time: 0.0269 memory: 32703 grad_norm: 19.2017 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1640 loss: 1.1640 2022/07/30 21:23:46 - mmengine - INFO - Epoch(train) [47][2480/2505] lr: 5.0000e-05 eta: 7:35:17 time: 1.0330 data_time: 0.0316 memory: 32703 grad_norm: 18.7038 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0221 loss: 1.0221 2022/07/30 21:24:02 - mmengine - INFO - Epoch(train) [47][2500/2505] lr: 5.0000e-05 eta: 7:34:56 time: 0.8246 data_time: 0.0292 memory: 32703 grad_norm: 18.9680 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1314 loss: 1.1314 2022/07/30 21:24:05 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 21:24:05 - mmengine - INFO - Epoch(train) [47][2505/2505] lr: 5.0000e-05 eta: 7:34:56 time: 0.7854 data_time: 0.0183 memory: 32703 grad_norm: 19.6209 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.0693 loss: 1.0693 2022/07/30 21:24:32 - mmengine - INFO - Epoch(train) [48][20/2505] lr: 5.0000e-05 eta: 7:34:32 time: 1.3472 data_time: 0.4377 memory: 32703 grad_norm: 18.5398 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.8710 loss: 0.8710 2022/07/30 21:24:50 - mmengine - INFO - Epoch(train) [48][40/2505] lr: 5.0000e-05 eta: 7:34:12 time: 0.9243 data_time: 0.0365 memory: 32703 grad_norm: 19.4394 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0817 loss: 1.0817 2022/07/30 21:25:12 - mmengine - INFO - Epoch(train) [48][60/2505] lr: 5.0000e-05 eta: 7:33:52 time: 1.0592 data_time: 0.0333 memory: 32703 grad_norm: 19.1377 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9159 loss: 0.9159 2022/07/30 21:25:30 - mmengine - INFO - Epoch(train) [48][80/2505] lr: 5.0000e-05 eta: 7:33:32 time: 0.9431 data_time: 0.0272 memory: 32703 grad_norm: 19.4319 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9650 loss: 0.9650 2022/07/30 21:25:52 - mmengine - INFO - Epoch(train) [48][100/2505] lr: 5.0000e-05 eta: 7:33:13 time: 1.0630 data_time: 0.0305 memory: 32703 grad_norm: 18.4679 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0435 loss: 1.0435 2022/07/30 21:26:10 - mmengine - INFO - Epoch(train) [48][120/2505] lr: 5.0000e-05 eta: 7:32:53 time: 0.8986 data_time: 0.0270 memory: 32703 grad_norm: 18.6035 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1216 loss: 1.1216 2022/07/30 21:26:31 - mmengine - INFO - Epoch(train) [48][140/2505] lr: 5.0000e-05 eta: 7:32:33 time: 1.0624 data_time: 0.0280 memory: 32703 grad_norm: 19.3848 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0035 loss: 1.0035 2022/07/30 21:26:50 - mmengine - INFO - Epoch(train) [48][160/2505] lr: 5.0000e-05 eta: 7:32:13 time: 0.9294 data_time: 0.0286 memory: 32703 grad_norm: 19.1134 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1689 loss: 1.1689 2022/07/30 21:27:11 - mmengine - INFO - Epoch(train) [48][180/2505] lr: 5.0000e-05 eta: 7:31:54 time: 1.0639 data_time: 0.0281 memory: 32703 grad_norm: 18.8255 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0766 loss: 1.0766 2022/07/30 21:27:30 - mmengine - INFO - Epoch(train) [48][200/2505] lr: 5.0000e-05 eta: 7:31:34 time: 0.9791 data_time: 0.0271 memory: 32703 grad_norm: 19.3986 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9138 loss: 0.9138 2022/07/30 21:27:51 - mmengine - INFO - Epoch(train) [48][220/2505] lr: 5.0000e-05 eta: 7:31:14 time: 1.0282 data_time: 0.0296 memory: 32703 grad_norm: 18.9003 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1774 loss: 1.1774 2022/07/30 21:28:10 - mmengine - INFO - Epoch(train) [48][240/2505] lr: 5.0000e-05 eta: 7:30:54 time: 0.9294 data_time: 0.0292 memory: 32703 grad_norm: 19.3495 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9418 loss: 0.9418 2022/07/30 21:28:31 - mmengine - INFO - Epoch(train) [48][260/2505] lr: 5.0000e-05 eta: 7:30:34 time: 1.0526 data_time: 0.0271 memory: 32703 grad_norm: 19.0460 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9156 loss: 0.9156 2022/07/30 21:28:37 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 21:28:50 - mmengine - INFO - Epoch(train) [48][280/2505] lr: 5.0000e-05 eta: 7:30:14 time: 0.9621 data_time: 0.0281 memory: 32703 grad_norm: 19.9174 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1319 loss: 1.1319 2022/07/30 21:29:11 - mmengine - INFO - Epoch(train) [48][300/2505] lr: 5.0000e-05 eta: 7:29:55 time: 1.0438 data_time: 0.0282 memory: 32703 grad_norm: 18.0994 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0383 loss: 1.0383 2022/07/30 21:29:29 - mmengine - INFO - Epoch(train) [48][320/2505] lr: 5.0000e-05 eta: 7:29:35 time: 0.9190 data_time: 0.0309 memory: 32703 grad_norm: 19.6951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9351 loss: 0.9351 2022/07/30 21:29:49 - mmengine - INFO - Epoch(train) [48][340/2505] lr: 5.0000e-05 eta: 7:29:15 time: 1.0068 data_time: 0.0274 memory: 32703 grad_norm: 19.4714 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0712 loss: 1.0712 2022/07/30 21:30:08 - mmengine - INFO - Epoch(train) [48][360/2505] lr: 5.0000e-05 eta: 7:28:55 time: 0.9233 data_time: 0.0257 memory: 32703 grad_norm: 19.7766 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9893 loss: 0.9893 2022/07/30 21:30:29 - mmengine - INFO - Epoch(train) [48][380/2505] lr: 5.0000e-05 eta: 7:28:35 time: 1.0499 data_time: 0.0280 memory: 32703 grad_norm: 18.6811 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.7573 loss: 0.7573 2022/07/30 21:30:47 - mmengine - INFO - Epoch(train) [48][400/2505] lr: 5.0000e-05 eta: 7:28:15 time: 0.9155 data_time: 0.0255 memory: 32703 grad_norm: 19.2528 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8532 loss: 0.8532 2022/07/30 21:31:10 - mmengine - INFO - Epoch(train) [48][420/2505] lr: 5.0000e-05 eta: 7:27:56 time: 1.1293 data_time: 0.0270 memory: 32703 grad_norm: 19.9036 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0858 loss: 1.0858 2022/07/30 21:31:26 - mmengine - INFO - Epoch(train) [48][440/2505] lr: 5.0000e-05 eta: 7:27:36 time: 0.8298 data_time: 0.0267 memory: 32703 grad_norm: 19.5229 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1088 loss: 1.1088 2022/07/30 21:31:48 - mmengine - INFO - Epoch(train) [48][460/2505] lr: 5.0000e-05 eta: 7:27:16 time: 1.0721 data_time: 0.0300 memory: 32703 grad_norm: 19.0542 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1106 loss: 1.1106 2022/07/30 21:32:05 - mmengine - INFO - Epoch(train) [48][480/2505] lr: 5.0000e-05 eta: 7:26:56 time: 0.8506 data_time: 0.0260 memory: 32703 grad_norm: 19.3723 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9807 loss: 0.9807 2022/07/30 21:32:27 - mmengine - INFO - Epoch(train) [48][500/2505] lr: 5.0000e-05 eta: 7:26:36 time: 1.0948 data_time: 0.0277 memory: 32703 grad_norm: 18.7908 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8379 loss: 0.8379 2022/07/30 21:32:45 - mmengine - INFO - Epoch(train) [48][520/2505] lr: 5.0000e-05 eta: 7:26:16 time: 0.9156 data_time: 0.0281 memory: 32703 grad_norm: 19.1125 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9648 loss: 0.9648 2022/07/30 21:33:07 - mmengine - INFO - Epoch(train) [48][540/2505] lr: 5.0000e-05 eta: 7:25:57 time: 1.0862 data_time: 0.0273 memory: 32703 grad_norm: 18.6382 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9432 loss: 0.9432 2022/07/30 21:33:25 - mmengine - INFO - Epoch(train) [48][560/2505] lr: 5.0000e-05 eta: 7:25:37 time: 0.8988 data_time: 0.0262 memory: 32703 grad_norm: 19.8983 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1010 loss: 1.1010 2022/07/30 21:33:47 - mmengine - INFO - Epoch(train) [48][580/2505] lr: 5.0000e-05 eta: 7:25:17 time: 1.1017 data_time: 0.0262 memory: 32703 grad_norm: 19.2988 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1184 loss: 1.1184 2022/07/30 21:34:05 - mmengine - INFO - Epoch(train) [48][600/2505] lr: 5.0000e-05 eta: 7:24:57 time: 0.9164 data_time: 0.0267 memory: 32703 grad_norm: 18.8672 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9151 loss: 0.9151 2022/07/30 21:34:26 - mmengine - INFO - Epoch(train) [48][620/2505] lr: 5.0000e-05 eta: 7:24:37 time: 1.0286 data_time: 0.0259 memory: 32703 grad_norm: 19.0596 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.1152 loss: 1.1152 2022/07/30 21:34:44 - mmengine - INFO - Epoch(train) [48][640/2505] lr: 5.0000e-05 eta: 7:24:17 time: 0.9031 data_time: 0.0332 memory: 32703 grad_norm: 19.4276 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1058 loss: 1.1058 2022/07/30 21:35:05 - mmengine - INFO - Epoch(train) [48][660/2505] lr: 5.0000e-05 eta: 7:23:58 time: 1.0584 data_time: 0.0295 memory: 32703 grad_norm: 18.2481 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9143 loss: 0.9143 2022/07/30 21:35:24 - mmengine - INFO - Epoch(train) [48][680/2505] lr: 5.0000e-05 eta: 7:23:38 time: 0.9317 data_time: 0.0268 memory: 32703 grad_norm: 19.1874 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0260 loss: 1.0260 2022/07/30 21:35:45 - mmengine - INFO - Epoch(train) [48][700/2505] lr: 5.0000e-05 eta: 7:23:18 time: 1.0700 data_time: 0.0321 memory: 32703 grad_norm: 18.6045 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0513 loss: 1.0513 2022/07/30 21:36:04 - mmengine - INFO - Epoch(train) [48][720/2505] lr: 5.0000e-05 eta: 7:22:58 time: 0.9341 data_time: 0.0338 memory: 32703 grad_norm: 18.9753 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8759 loss: 0.8759 2022/07/30 21:36:24 - mmengine - INFO - Epoch(train) [48][740/2505] lr: 5.0000e-05 eta: 7:22:39 time: 1.0239 data_time: 0.0338 memory: 32703 grad_norm: 19.7535 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9135 loss: 0.9135 2022/07/30 21:36:42 - mmengine - INFO - Epoch(train) [48][760/2505] lr: 5.0000e-05 eta: 7:22:18 time: 0.9047 data_time: 0.0305 memory: 32703 grad_norm: 20.1188 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9593 loss: 0.9593 2022/07/30 21:37:04 - mmengine - INFO - Epoch(train) [48][780/2505] lr: 5.0000e-05 eta: 7:21:59 time: 1.0633 data_time: 0.0302 memory: 32703 grad_norm: 19.8280 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9495 loss: 0.9495 2022/07/30 21:37:22 - mmengine - INFO - Epoch(train) [48][800/2505] lr: 5.0000e-05 eta: 7:21:39 time: 0.9145 data_time: 0.0324 memory: 32703 grad_norm: 19.3986 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1663 loss: 1.1663 2022/07/30 21:37:43 - mmengine - INFO - Epoch(train) [48][820/2505] lr: 5.0000e-05 eta: 7:21:19 time: 1.0400 data_time: 0.0282 memory: 32703 grad_norm: 19.0993 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8651 loss: 0.8651 2022/07/30 21:38:01 - mmengine - INFO - Epoch(train) [48][840/2505] lr: 5.0000e-05 eta: 7:20:59 time: 0.8945 data_time: 0.0316 memory: 32703 grad_norm: 18.2376 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9914 loss: 0.9914 2022/07/30 21:38:22 - mmengine - INFO - Epoch(train) [48][860/2505] lr: 5.0000e-05 eta: 7:20:39 time: 1.0821 data_time: 0.0272 memory: 32703 grad_norm: 19.1122 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0567 loss: 1.0567 2022/07/30 21:38:40 - mmengine - INFO - Epoch(train) [48][880/2505] lr: 5.0000e-05 eta: 7:20:19 time: 0.9116 data_time: 0.0282 memory: 32703 grad_norm: 19.0635 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1444 loss: 1.1444 2022/07/30 21:39:02 - mmengine - INFO - Epoch(train) [48][900/2505] lr: 5.0000e-05 eta: 7:20:00 time: 1.0636 data_time: 0.0300 memory: 32703 grad_norm: 19.2268 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.0414 loss: 1.0414 2022/07/30 21:39:20 - mmengine - INFO - Epoch(train) [48][920/2505] lr: 5.0000e-05 eta: 7:19:40 time: 0.8972 data_time: 0.0270 memory: 32703 grad_norm: 19.2060 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0512 loss: 1.0512 2022/07/30 21:39:40 - mmengine - INFO - Epoch(train) [48][940/2505] lr: 5.0000e-05 eta: 7:19:20 time: 1.0208 data_time: 0.0282 memory: 32703 grad_norm: 18.4409 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9917 loss: 0.9917 2022/07/30 21:39:59 - mmengine - INFO - Epoch(train) [48][960/2505] lr: 5.0000e-05 eta: 7:19:00 time: 0.9512 data_time: 0.0285 memory: 32703 grad_norm: 18.0101 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7999 loss: 0.7999 2022/07/30 21:40:21 - mmengine - INFO - Epoch(train) [48][980/2505] lr: 5.0000e-05 eta: 7:18:40 time: 1.0700 data_time: 0.0276 memory: 32703 grad_norm: 19.5139 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8995 loss: 0.8995 2022/07/30 21:40:39 - mmengine - INFO - Epoch(train) [48][1000/2505] lr: 5.0000e-05 eta: 7:18:20 time: 0.9013 data_time: 0.0302 memory: 32703 grad_norm: 19.6025 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1435 loss: 1.1435 2022/07/30 21:41:00 - mmengine - INFO - Epoch(train) [48][1020/2505] lr: 5.0000e-05 eta: 7:18:01 time: 1.0922 data_time: 0.0288 memory: 32703 grad_norm: 19.2659 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0862 loss: 1.0862 2022/07/30 21:41:18 - mmengine - INFO - Epoch(train) [48][1040/2505] lr: 5.0000e-05 eta: 7:17:41 time: 0.8714 data_time: 0.0275 memory: 32703 grad_norm: 19.0045 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9918 loss: 0.9918 2022/07/30 21:41:39 - mmengine - INFO - Epoch(train) [48][1060/2505] lr: 5.0000e-05 eta: 7:17:21 time: 1.0670 data_time: 0.0300 memory: 32703 grad_norm: 19.2170 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9629 loss: 0.9629 2022/07/30 21:41:58 - mmengine - INFO - Epoch(train) [48][1080/2505] lr: 5.0000e-05 eta: 7:17:01 time: 0.9557 data_time: 0.0290 memory: 32703 grad_norm: 18.4860 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8886 loss: 0.8886 2022/07/30 21:42:19 - mmengine - INFO - Epoch(train) [48][1100/2505] lr: 5.0000e-05 eta: 7:16:41 time: 1.0210 data_time: 0.0270 memory: 32703 grad_norm: 19.4168 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0316 loss: 1.0316 2022/07/30 21:42:37 - mmengine - INFO - Epoch(train) [48][1120/2505] lr: 5.0000e-05 eta: 7:16:21 time: 0.9163 data_time: 0.0287 memory: 32703 grad_norm: 18.6190 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9254 loss: 0.9254 2022/07/30 21:42:57 - mmengine - INFO - Epoch(train) [48][1140/2505] lr: 5.0000e-05 eta: 7:16:02 time: 1.0051 data_time: 0.0279 memory: 32703 grad_norm: 19.2965 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0163 loss: 1.0163 2022/07/30 21:43:15 - mmengine - INFO - Epoch(train) [48][1160/2505] lr: 5.0000e-05 eta: 7:15:41 time: 0.9095 data_time: 0.0275 memory: 32703 grad_norm: 18.8920 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1611 loss: 1.1611 2022/07/30 21:43:36 - mmengine - INFO - Epoch(train) [48][1180/2505] lr: 5.0000e-05 eta: 7:15:22 time: 1.0242 data_time: 0.0283 memory: 32703 grad_norm: 18.6094 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0903 loss: 1.0903 2022/07/30 21:43:54 - mmengine - INFO - Epoch(train) [48][1200/2505] lr: 5.0000e-05 eta: 7:15:02 time: 0.9125 data_time: 0.0325 memory: 32703 grad_norm: 19.1411 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0948 loss: 1.0948 2022/07/30 21:44:14 - mmengine - INFO - Epoch(train) [48][1220/2505] lr: 5.0000e-05 eta: 7:14:42 time: 1.0160 data_time: 0.0290 memory: 32703 grad_norm: 18.3607 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9899 loss: 0.9899 2022/07/30 21:44:33 - mmengine - INFO - Epoch(train) [48][1240/2505] lr: 5.0000e-05 eta: 7:14:22 time: 0.9104 data_time: 0.0280 memory: 32703 grad_norm: 20.2159 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9679 loss: 0.9679 2022/07/30 21:44:54 - mmengine - INFO - Epoch(train) [48][1260/2505] lr: 5.0000e-05 eta: 7:14:02 time: 1.0434 data_time: 0.0271 memory: 32703 grad_norm: 18.9656 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9658 loss: 0.9658 2022/07/30 21:45:00 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 21:45:13 - mmengine - INFO - Epoch(train) [48][1280/2505] lr: 5.0000e-05 eta: 7:13:42 time: 0.9641 data_time: 0.0259 memory: 32703 grad_norm: 19.1706 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0005 loss: 1.0005 2022/07/30 21:45:34 - mmengine - INFO - Epoch(train) [48][1300/2505] lr: 5.0000e-05 eta: 7:13:23 time: 1.0552 data_time: 0.0323 memory: 32703 grad_norm: 19.2985 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.2501 loss: 1.2501 2022/07/30 21:45:52 - mmengine - INFO - Epoch(train) [48][1320/2505] lr: 5.0000e-05 eta: 7:13:03 time: 0.9187 data_time: 0.0271 memory: 32703 grad_norm: 19.3574 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 1.2567 loss: 1.2567 2022/07/30 21:46:13 - mmengine - INFO - Epoch(train) [48][1340/2505] lr: 5.0000e-05 eta: 7:12:43 time: 1.0426 data_time: 0.0340 memory: 32703 grad_norm: 18.9093 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8689 loss: 0.8689 2022/07/30 21:46:32 - mmengine - INFO - Epoch(train) [48][1360/2505] lr: 5.0000e-05 eta: 7:12:23 time: 0.9207 data_time: 0.0281 memory: 32703 grad_norm: 18.8503 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8583 loss: 0.8583 2022/07/30 21:46:53 - mmengine - INFO - Epoch(train) [48][1380/2505] lr: 5.0000e-05 eta: 7:12:03 time: 1.0600 data_time: 0.0316 memory: 32703 grad_norm: 19.5152 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9510 loss: 0.9510 2022/07/30 21:47:12 - mmengine - INFO - Epoch(train) [48][1400/2505] lr: 5.0000e-05 eta: 7:11:43 time: 0.9523 data_time: 0.0329 memory: 32703 grad_norm: 18.5955 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1361 loss: 1.1361 2022/07/30 21:47:33 - mmengine - INFO - Epoch(train) [48][1420/2505] lr: 5.0000e-05 eta: 7:11:24 time: 1.0559 data_time: 0.0303 memory: 32703 grad_norm: 18.7968 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1040 loss: 1.1040 2022/07/30 21:47:52 - mmengine - INFO - Epoch(train) [48][1440/2505] lr: 5.0000e-05 eta: 7:11:04 time: 0.9289 data_time: 0.0282 memory: 32703 grad_norm: 19.7410 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1352 loss: 1.1352 2022/07/30 21:48:13 - mmengine - INFO - Epoch(train) [48][1460/2505] lr: 5.0000e-05 eta: 7:10:44 time: 1.0707 data_time: 0.0301 memory: 32703 grad_norm: 19.4208 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1009 loss: 1.1009 2022/07/30 21:48:31 - mmengine - INFO - Epoch(train) [48][1480/2505] lr: 5.0000e-05 eta: 7:10:24 time: 0.9233 data_time: 0.0280 memory: 32703 grad_norm: 19.4571 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2451 loss: 1.2451 2022/07/30 21:48:53 - mmengine - INFO - Epoch(train) [48][1500/2505] lr: 5.0000e-05 eta: 7:10:05 time: 1.0863 data_time: 0.0271 memory: 32703 grad_norm: 18.7261 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9477 loss: 0.9477 2022/07/30 21:49:11 - mmengine - INFO - Epoch(train) [48][1520/2505] lr: 5.0000e-05 eta: 7:09:45 time: 0.8897 data_time: 0.0284 memory: 32703 grad_norm: 19.3792 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9367 loss: 0.9367 2022/07/30 21:49:32 - mmengine - INFO - Epoch(train) [48][1540/2505] lr: 5.0000e-05 eta: 7:09:25 time: 1.0681 data_time: 0.0273 memory: 32703 grad_norm: 18.5601 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0909 loss: 1.0909 2022/07/30 21:49:51 - mmengine - INFO - Epoch(train) [48][1560/2505] lr: 5.0000e-05 eta: 7:09:05 time: 0.9197 data_time: 0.0265 memory: 32703 grad_norm: 19.2247 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9470 loss: 0.9470 2022/07/30 21:50:12 - mmengine - INFO - Epoch(train) [48][1580/2505] lr: 5.0000e-05 eta: 7:08:46 time: 1.0510 data_time: 0.0287 memory: 32703 grad_norm: 19.7615 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9767 loss: 0.9767 2022/07/30 21:50:29 - mmengine - INFO - Epoch(train) [48][1600/2505] lr: 5.0000e-05 eta: 7:08:25 time: 0.8796 data_time: 0.0289 memory: 32703 grad_norm: 19.6988 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0695 loss: 1.0695 2022/07/30 21:50:51 - mmengine - INFO - Epoch(train) [48][1620/2505] lr: 5.0000e-05 eta: 7:08:06 time: 1.0977 data_time: 0.0274 memory: 32703 grad_norm: 19.4473 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9231 loss: 0.9231 2022/07/30 21:51:09 - mmengine - INFO - Epoch(train) [48][1640/2505] lr: 5.0000e-05 eta: 7:07:46 time: 0.8819 data_time: 0.0282 memory: 32703 grad_norm: 20.2347 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1327 loss: 1.1327 2022/07/30 21:51:31 - mmengine - INFO - Epoch(train) [48][1660/2505] lr: 5.0000e-05 eta: 7:07:26 time: 1.0889 data_time: 0.0280 memory: 32703 grad_norm: 19.2482 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8534 loss: 0.8534 2022/07/30 21:51:49 - mmengine - INFO - Epoch(train) [48][1680/2505] lr: 5.0000e-05 eta: 7:07:06 time: 0.9046 data_time: 0.0253 memory: 32703 grad_norm: 18.2619 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9908 loss: 0.9908 2022/07/30 21:52:11 - mmengine - INFO - Epoch(train) [48][1700/2505] lr: 5.0000e-05 eta: 7:06:47 time: 1.0955 data_time: 0.0320 memory: 32703 grad_norm: 18.9043 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8380 loss: 0.8380 2022/07/30 21:52:26 - mmengine - INFO - Epoch(train) [48][1720/2505] lr: 5.0000e-05 eta: 7:06:26 time: 0.7812 data_time: 0.0275 memory: 32703 grad_norm: 19.0121 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9719 loss: 0.9719 2022/07/30 21:52:48 - mmengine - INFO - Epoch(train) [48][1740/2505] lr: 5.0000e-05 eta: 7:06:06 time: 1.0466 data_time: 0.0283 memory: 32703 grad_norm: 19.1287 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9690 loss: 0.9690 2022/07/30 21:53:05 - mmengine - INFO - Epoch(train) [48][1760/2505] lr: 5.0000e-05 eta: 7:05:46 time: 0.8812 data_time: 0.0323 memory: 32703 grad_norm: 19.8248 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9498 loss: 0.9498 2022/07/30 21:53:26 - mmengine - INFO - Epoch(train) [48][1780/2505] lr: 5.0000e-05 eta: 7:05:27 time: 1.0486 data_time: 0.0328 memory: 32703 grad_norm: 19.4791 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.7963 loss: 0.7963 2022/07/30 21:53:45 - mmengine - INFO - Epoch(train) [48][1800/2505] lr: 5.0000e-05 eta: 7:05:07 time: 0.9407 data_time: 0.0323 memory: 32703 grad_norm: 19.1752 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1583 loss: 1.1583 2022/07/30 21:54:06 - mmengine - INFO - Epoch(train) [48][1820/2505] lr: 5.0000e-05 eta: 7:04:47 time: 1.0664 data_time: 0.0256 memory: 32703 grad_norm: 19.9903 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1588 loss: 1.1588 2022/07/30 21:54:24 - mmengine - INFO - Epoch(train) [48][1840/2505] lr: 5.0000e-05 eta: 7:04:27 time: 0.8979 data_time: 0.0328 memory: 32703 grad_norm: 19.3341 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0617 loss: 1.0617 2022/07/30 21:54:46 - mmengine - INFO - Epoch(train) [48][1860/2505] lr: 5.0000e-05 eta: 7:04:08 time: 1.1118 data_time: 0.0338 memory: 32703 grad_norm: 19.6256 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0946 loss: 1.0946 2022/07/30 21:55:05 - mmengine - INFO - Epoch(train) [48][1880/2505] lr: 5.0000e-05 eta: 7:03:47 time: 0.9086 data_time: 0.0281 memory: 32703 grad_norm: 19.0402 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0228 loss: 1.0228 2022/07/30 21:55:26 - mmengine - INFO - Epoch(train) [48][1900/2505] lr: 5.0000e-05 eta: 7:03:28 time: 1.0796 data_time: 0.0284 memory: 32703 grad_norm: 19.4450 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0338 loss: 1.0338 2022/07/30 21:55:46 - mmengine - INFO - Epoch(train) [48][1920/2505] lr: 5.0000e-05 eta: 7:03:08 time: 0.9688 data_time: 0.0349 memory: 32703 grad_norm: 19.4146 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9499 loss: 0.9499 2022/07/30 21:56:06 - mmengine - INFO - Epoch(train) [48][1940/2505] lr: 5.0000e-05 eta: 7:02:48 time: 1.0117 data_time: 0.0267 memory: 32703 grad_norm: 19.4884 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0784 loss: 1.0784 2022/07/30 21:56:24 - mmengine - INFO - Epoch(train) [48][1960/2505] lr: 5.0000e-05 eta: 7:02:28 time: 0.8904 data_time: 0.0319 memory: 32703 grad_norm: 18.8816 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9821 loss: 0.9821 2022/07/30 21:56:45 - mmengine - INFO - Epoch(train) [48][1980/2505] lr: 5.0000e-05 eta: 7:02:09 time: 1.0479 data_time: 0.0276 memory: 32703 grad_norm: 19.7371 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0170 loss: 1.0170 2022/07/30 21:57:03 - mmengine - INFO - Epoch(train) [48][2000/2505] lr: 5.0000e-05 eta: 7:01:49 time: 0.9370 data_time: 0.0307 memory: 32703 grad_norm: 19.2601 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9953 loss: 0.9953 2022/07/30 21:57:24 - mmengine - INFO - Epoch(train) [48][2020/2505] lr: 5.0000e-05 eta: 7:01:29 time: 1.0157 data_time: 0.0341 memory: 32703 grad_norm: 19.5713 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9220 loss: 0.9220 2022/07/30 21:57:43 - mmengine - INFO - Epoch(train) [48][2040/2505] lr: 5.0000e-05 eta: 7:01:09 time: 0.9374 data_time: 0.0268 memory: 32703 grad_norm: 20.0588 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0473 loss: 1.0473 2022/07/30 21:58:04 - mmengine - INFO - Epoch(train) [48][2060/2505] lr: 5.0000e-05 eta: 7:00:49 time: 1.0741 data_time: 0.0350 memory: 32703 grad_norm: 18.3591 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7684 loss: 0.7684 2022/07/30 21:58:22 - mmengine - INFO - Epoch(train) [48][2080/2505] lr: 5.0000e-05 eta: 7:00:29 time: 0.8912 data_time: 0.0330 memory: 32703 grad_norm: 19.1489 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0197 loss: 1.0197 2022/07/30 21:58:43 - mmengine - INFO - Epoch(train) [48][2100/2505] lr: 5.0000e-05 eta: 7:00:10 time: 1.0692 data_time: 0.0298 memory: 32703 grad_norm: 19.4261 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9732 loss: 0.9732 2022/07/30 21:59:02 - mmengine - INFO - Epoch(train) [48][2120/2505] lr: 5.0000e-05 eta: 6:59:50 time: 0.9211 data_time: 0.0284 memory: 32703 grad_norm: 19.6809 top1_acc: 0.2500 top5_acc: 0.6667 loss_cls: 0.9502 loss: 0.9502 2022/07/30 21:59:24 - mmengine - INFO - Epoch(train) [48][2140/2505] lr: 5.0000e-05 eta: 6:59:30 time: 1.0987 data_time: 0.0502 memory: 32703 grad_norm: 18.8885 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8932 loss: 0.8932 2022/07/30 21:59:42 - mmengine - INFO - Epoch(train) [48][2160/2505] lr: 5.0000e-05 eta: 6:59:10 time: 0.9009 data_time: 0.0388 memory: 32703 grad_norm: 18.7574 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0308 loss: 1.0308 2022/07/30 22:00:03 - mmengine - INFO - Epoch(train) [48][2180/2505] lr: 5.0000e-05 eta: 6:58:50 time: 1.0531 data_time: 0.0324 memory: 32703 grad_norm: 19.7952 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.8994 loss: 0.8994 2022/07/30 22:00:21 - mmengine - INFO - Epoch(train) [48][2200/2505] lr: 5.0000e-05 eta: 6:58:30 time: 0.9090 data_time: 0.0322 memory: 32703 grad_norm: 19.1047 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9662 loss: 0.9662 2022/07/30 22:00:42 - mmengine - INFO - Epoch(train) [48][2220/2505] lr: 5.0000e-05 eta: 6:58:11 time: 1.0506 data_time: 0.0284 memory: 32703 grad_norm: 19.0257 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9247 loss: 0.9247 2022/07/30 22:01:00 - mmengine - INFO - Epoch(train) [48][2240/2505] lr: 5.0000e-05 eta: 6:57:51 time: 0.9023 data_time: 0.0287 memory: 32703 grad_norm: 18.9109 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8594 loss: 0.8594 2022/07/30 22:01:21 - mmengine - INFO - Epoch(train) [48][2260/2505] lr: 5.0000e-05 eta: 6:57:31 time: 1.0410 data_time: 0.0292 memory: 32703 grad_norm: 19.9951 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1881 loss: 1.1881 2022/07/30 22:01:26 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 22:01:38 - mmengine - INFO - Epoch(train) [48][2280/2505] lr: 5.0000e-05 eta: 6:57:11 time: 0.8669 data_time: 0.0268 memory: 32703 grad_norm: 19.2797 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9346 loss: 0.9346 2022/07/30 22:01:59 - mmengine - INFO - Epoch(train) [48][2300/2505] lr: 5.0000e-05 eta: 6:56:51 time: 1.0341 data_time: 0.0315 memory: 32703 grad_norm: 19.8027 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1514 loss: 1.1514 2022/07/30 22:02:17 - mmengine - INFO - Epoch(train) [48][2320/2505] lr: 5.0000e-05 eta: 6:56:31 time: 0.9285 data_time: 0.0267 memory: 32703 grad_norm: 19.1486 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1723 loss: 1.1723 2022/07/30 22:02:38 - mmengine - INFO - Epoch(train) [48][2340/2505] lr: 5.0000e-05 eta: 6:56:11 time: 1.0311 data_time: 0.0303 memory: 32703 grad_norm: 18.8221 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8116 loss: 0.8116 2022/07/30 22:02:56 - mmengine - INFO - Epoch(train) [48][2360/2505] lr: 5.0000e-05 eta: 6:55:51 time: 0.9084 data_time: 0.0270 memory: 32703 grad_norm: 19.0206 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0236 loss: 1.0236 2022/07/30 22:03:17 - mmengine - INFO - Epoch(train) [48][2380/2505] lr: 5.0000e-05 eta: 6:55:32 time: 1.0357 data_time: 0.0286 memory: 32703 grad_norm: 19.1042 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1706 loss: 1.1706 2022/07/30 22:03:35 - mmengine - INFO - Epoch(train) [48][2400/2505] lr: 5.0000e-05 eta: 6:55:11 time: 0.9184 data_time: 0.0264 memory: 32703 grad_norm: 19.8670 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9345 loss: 0.9345 2022/07/30 22:03:56 - mmengine - INFO - Epoch(train) [48][2420/2505] lr: 5.0000e-05 eta: 6:54:52 time: 1.0466 data_time: 0.0322 memory: 32703 grad_norm: 18.0100 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8909 loss: 0.8909 2022/07/30 22:04:15 - mmengine - INFO - Epoch(train) [48][2440/2505] lr: 5.0000e-05 eta: 6:54:32 time: 0.9219 data_time: 0.0293 memory: 32703 grad_norm: 19.6355 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9495 loss: 0.9495 2022/07/30 22:04:35 - mmengine - INFO - Epoch(train) [48][2460/2505] lr: 5.0000e-05 eta: 6:54:12 time: 0.9933 data_time: 0.0272 memory: 32703 grad_norm: 19.1796 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9906 loss: 0.9906 2022/07/30 22:04:54 - mmengine - INFO - Epoch(train) [48][2480/2505] lr: 5.0000e-05 eta: 6:53:52 time: 0.9751 data_time: 0.0272 memory: 32703 grad_norm: 18.9834 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0603 loss: 1.0603 2022/07/30 22:05:13 - mmengine - INFO - Epoch(train) [48][2500/2505] lr: 5.0000e-05 eta: 6:53:32 time: 0.9268 data_time: 0.0286 memory: 32703 grad_norm: 19.3731 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9857 loss: 0.9857 2022/07/30 22:05:15 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 22:05:15 - mmengine - INFO - Epoch(train) [48][2505/2505] lr: 5.0000e-05 eta: 6:53:32 time: 0.7716 data_time: 0.0200 memory: 32703 grad_norm: 19.3681 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1613 loss: 1.1613 2022/07/30 22:05:15 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/07/30 22:05:24 - mmengine - INFO - Epoch(val) [48][20/2475] eta: 0:04:12 time: 0.1028 data_time: 0.0719 memory: 817 2022/07/30 22:05:25 - mmengine - INFO - Epoch(val) [48][40/2475] eta: 0:02:59 time: 0.0738 data_time: 0.0443 memory: 817 2022/07/30 22:05:27 - mmengine - INFO - Epoch(val) [48][60/2475] eta: 0:03:41 time: 0.0919 data_time: 0.0641 memory: 817 2022/07/30 22:05:28 - mmengine - INFO - Epoch(val) [48][80/2475] eta: 0:02:52 time: 0.0719 data_time: 0.0459 memory: 817 2022/07/30 22:05:30 - mmengine - INFO - Epoch(val) [48][100/2475] eta: 0:03:55 time: 0.0993 data_time: 0.0616 memory: 817 2022/07/30 22:05:32 - mmengine - INFO - Epoch(val) [48][120/2475] eta: 0:02:32 time: 0.0646 data_time: 0.0370 memory: 817 2022/07/30 22:05:34 - mmengine - INFO - Epoch(val) [48][140/2475] eta: 0:03:36 time: 0.0926 data_time: 0.0669 memory: 817 2022/07/30 22:05:35 - mmengine - INFO - Epoch(val) [48][160/2475] eta: 0:02:53 time: 0.0750 data_time: 0.0472 memory: 817 2022/07/30 22:05:37 - mmengine - INFO - Epoch(val) [48][180/2475] eta: 0:03:21 time: 0.0878 data_time: 0.0595 memory: 817 2022/07/30 22:05:38 - mmengine - INFO - Epoch(val) [48][200/2475] eta: 0:02:26 time: 0.0646 data_time: 0.0370 memory: 817 2022/07/30 22:05:40 - mmengine - INFO - Epoch(val) [48][220/2475] eta: 0:03:09 time: 0.0842 data_time: 0.0561 memory: 817 2022/07/30 22:05:41 - mmengine - INFO - Epoch(val) [48][240/2475] eta: 0:02:32 time: 0.0682 data_time: 0.0383 memory: 817 2022/07/30 22:05:43 - mmengine - INFO - Epoch(val) [48][260/2475] eta: 0:03:10 time: 0.0862 data_time: 0.0585 memory: 817 2022/07/30 22:05:44 - mmengine - INFO - Epoch(val) [48][280/2475] eta: 0:02:43 time: 0.0746 data_time: 0.0440 memory: 817 2022/07/30 22:05:46 - mmengine - INFO - Epoch(val) [48][300/2475] eta: 0:03:12 time: 0.0885 data_time: 0.0613 memory: 817 2022/07/30 22:05:48 - mmengine - INFO - Epoch(val) [48][320/2475] eta: 0:02:33 time: 0.0713 data_time: 0.0444 memory: 817 2022/07/30 22:05:50 - mmengine - INFO - Epoch(val) [48][340/2475] eta: 0:03:41 time: 0.1038 data_time: 0.0570 memory: 817 2022/07/30 22:05:51 - mmengine - INFO - Epoch(val) [48][360/2475] eta: 0:02:02 time: 0.0579 data_time: 0.0242 memory: 817 2022/07/30 22:05:53 - mmengine - INFO - Epoch(val) [48][380/2475] eta: 0:03:18 time: 0.0948 data_time: 0.0652 memory: 817 2022/07/30 22:05:54 - mmengine - INFO - Epoch(val) [48][400/2475] eta: 0:02:29 time: 0.0718 data_time: 0.0452 memory: 817 2022/07/30 22:05:56 - mmengine - INFO - Epoch(val) [48][420/2475] eta: 0:03:00 time: 0.0880 data_time: 0.0610 memory: 817 2022/07/30 22:05:57 - mmengine - INFO - Epoch(val) [48][440/2475] eta: 0:02:14 time: 0.0661 data_time: 0.0372 memory: 817 2022/07/30 22:05:59 - mmengine - INFO - Epoch(val) [48][460/2475] eta: 0:02:55 time: 0.0870 data_time: 0.0606 memory: 817 2022/07/30 22:06:01 - mmengine - INFO - Epoch(val) [48][480/2475] eta: 0:02:23 time: 0.0720 data_time: 0.0450 memory: 817 2022/07/30 22:06:03 - mmengine - INFO - Epoch(val) [48][500/2475] eta: 0:03:18 time: 0.1005 data_time: 0.0731 memory: 817 2022/07/30 22:06:04 - mmengine - INFO - Epoch(val) [48][520/2475] eta: 0:02:12 time: 0.0678 data_time: 0.0395 memory: 817 2022/07/30 22:06:06 - mmengine - INFO - Epoch(val) [48][540/2475] eta: 0:02:49 time: 0.0877 data_time: 0.0594 memory: 817 2022/07/30 22:06:07 - mmengine - INFO - Epoch(val) [48][560/2475] eta: 0:02:21 time: 0.0741 data_time: 0.0420 memory: 817 2022/07/30 22:06:09 - mmengine - INFO - Epoch(val) [48][580/2475] eta: 0:02:54 time: 0.0918 data_time: 0.0634 memory: 817 2022/07/30 22:06:10 - mmengine - INFO - Epoch(val) [48][600/2475] eta: 0:02:04 time: 0.0663 data_time: 0.0348 memory: 817 2022/07/30 22:06:12 - mmengine - INFO - Epoch(val) [48][620/2475] eta: 0:02:33 time: 0.0829 data_time: 0.0563 memory: 817 2022/07/30 22:06:14 - mmengine - INFO - Epoch(val) [48][640/2475] eta: 0:02:22 time: 0.0777 data_time: 0.0507 memory: 817 2022/07/30 22:06:15 - mmengine - INFO - Epoch(val) [48][660/2475] eta: 0:02:47 time: 0.0923 data_time: 0.0646 memory: 817 2022/07/30 22:06:17 - mmengine - INFO - Epoch(val) [48][680/2475] eta: 0:02:14 time: 0.0748 data_time: 0.0449 memory: 817 2022/07/30 22:06:19 - mmengine - INFO - Epoch(val) [48][700/2475] eta: 0:02:31 time: 0.0856 data_time: 0.0583 memory: 817 2022/07/30 22:06:20 - mmengine - INFO - Epoch(val) [48][720/2475] eta: 0:02:06 time: 0.0723 data_time: 0.0447 memory: 817 2022/07/30 22:06:22 - mmengine - INFO - Epoch(val) [48][740/2475] eta: 0:02:29 time: 0.0861 data_time: 0.0594 memory: 817 2022/07/30 22:06:23 - mmengine - INFO - Epoch(val) [48][760/2475] eta: 0:02:03 time: 0.0720 data_time: 0.0445 memory: 817 2022/07/30 22:06:25 - mmengine - INFO - Epoch(val) [48][780/2475] eta: 0:02:22 time: 0.0841 data_time: 0.0568 memory: 817 2022/07/30 22:06:26 - mmengine - INFO - Epoch(val) [48][800/2475] eta: 0:02:06 time: 0.0752 data_time: 0.0473 memory: 817 2022/07/30 22:06:28 - mmengine - INFO - Epoch(val) [48][820/2475] eta: 0:02:11 time: 0.0793 data_time: 0.0524 memory: 817 2022/07/30 22:06:30 - mmengine - INFO - Epoch(val) [48][840/2475] eta: 0:02:21 time: 0.0867 data_time: 0.0459 memory: 817 2022/07/30 22:06:31 - mmengine - INFO - Epoch(val) [48][860/2475] eta: 0:01:54 time: 0.0712 data_time: 0.0406 memory: 817 2022/07/30 22:06:33 - mmengine - INFO - Epoch(val) [48][880/2475] eta: 0:02:44 time: 0.1033 data_time: 0.0745 memory: 817 2022/07/30 22:06:35 - mmengine - INFO - Epoch(val) [48][900/2475] eta: 0:01:56 time: 0.0739 data_time: 0.0467 memory: 817 2022/07/30 22:06:37 - mmengine - INFO - Epoch(val) [48][920/2475] eta: 0:02:26 time: 0.0945 data_time: 0.0660 memory: 817 2022/07/30 22:06:38 - mmengine - INFO - Epoch(val) [48][940/2475] eta: 0:01:53 time: 0.0742 data_time: 0.0459 memory: 817 2022/07/30 22:06:40 - mmengine - INFO - Epoch(val) [48][960/2475] eta: 0:02:02 time: 0.0810 data_time: 0.0544 memory: 817 2022/07/30 22:06:41 - mmengine - INFO - Epoch(val) [48][980/2475] eta: 0:01:33 time: 0.0628 data_time: 0.0348 memory: 817 2022/07/30 22:06:43 - mmengine - INFO - Epoch(val) [48][1000/2475] eta: 0:02:25 time: 0.0986 data_time: 0.0732 memory: 817 2022/07/30 22:06:45 - mmengine - INFO - Epoch(val) [48][1020/2475] eta: 0:01:55 time: 0.0791 data_time: 0.0514 memory: 817 2022/07/30 22:06:46 - mmengine - INFO - Epoch(val) [48][1040/2475] eta: 0:01:50 time: 0.0768 data_time: 0.0507 memory: 817 2022/07/30 22:06:48 - mmengine - INFO - Epoch(val) [48][1060/2475] eta: 0:02:04 time: 0.0878 data_time: 0.0606 memory: 817 2022/07/30 22:06:49 - mmengine - INFO - Epoch(val) [48][1080/2475] eta: 0:01:35 time: 0.0685 data_time: 0.0401 memory: 817 2022/07/30 22:06:51 - mmengine - INFO - Epoch(val) [48][1100/2475] eta: 0:01:54 time: 0.0834 data_time: 0.0423 memory: 817 2022/07/30 22:06:52 - mmengine - INFO - Epoch(val) [48][1120/2475] eta: 0:01:40 time: 0.0740 data_time: 0.0464 memory: 817 2022/07/30 22:06:54 - mmengine - INFO - Epoch(val) [48][1140/2475] eta: 0:02:01 time: 0.0912 data_time: 0.0639 memory: 817 2022/07/30 22:06:56 - mmengine - INFO - Epoch(val) [48][1160/2475] eta: 0:01:40 time: 0.0763 data_time: 0.0494 memory: 817 2022/07/30 22:06:58 - mmengine - INFO - Epoch(val) [48][1180/2475] eta: 0:01:54 time: 0.0882 data_time: 0.0612 memory: 817 2022/07/30 22:06:59 - mmengine - INFO - Epoch(val) [48][1200/2475] eta: 0:01:38 time: 0.0775 data_time: 0.0499 memory: 817 2022/07/30 22:07:01 - mmengine - INFO - Epoch(val) [48][1220/2475] eta: 0:01:35 time: 0.0762 data_time: 0.0491 memory: 817 2022/07/30 22:07:02 - mmengine - INFO - Epoch(val) [48][1240/2475] eta: 0:01:29 time: 0.0724 data_time: 0.0461 memory: 817 2022/07/30 22:07:04 - mmengine - INFO - Epoch(val) [48][1260/2475] eta: 0:01:47 time: 0.0882 data_time: 0.0603 memory: 817 2022/07/30 22:07:05 - mmengine - INFO - Epoch(val) [48][1280/2475] eta: 0:01:30 time: 0.0757 data_time: 0.0474 memory: 817 2022/07/30 22:07:07 - mmengine - INFO - Epoch(val) [48][1300/2475] eta: 0:01:38 time: 0.0839 data_time: 0.0545 memory: 817 2022/07/30 22:07:09 - mmengine - INFO - Epoch(val) [48][1320/2475] eta: 0:01:34 time: 0.0820 data_time: 0.0540 memory: 817 2022/07/30 22:07:10 - mmengine - INFO - Epoch(val) [48][1340/2475] eta: 0:01:33 time: 0.0823 data_time: 0.0483 memory: 817 2022/07/30 22:07:12 - mmengine - INFO - Epoch(val) [48][1360/2475] eta: 0:01:18 time: 0.0706 data_time: 0.0438 memory: 817 2022/07/30 22:07:14 - mmengine - INFO - Epoch(val) [48][1380/2475] eta: 0:01:37 time: 0.0889 data_time: 0.0574 memory: 817 2022/07/30 22:07:15 - mmengine - INFO - Epoch(val) [48][1400/2475] eta: 0:01:18 time: 0.0730 data_time: 0.0446 memory: 817 2022/07/30 22:07:17 - mmengine - INFO - Epoch(val) [48][1420/2475] eta: 0:01:37 time: 0.0926 data_time: 0.0630 memory: 817 2022/07/30 22:07:18 - mmengine - INFO - Epoch(val) [48][1440/2475] eta: 0:01:09 time: 0.0673 data_time: 0.0380 memory: 817 2022/07/30 22:07:20 - mmengine - INFO - Epoch(val) [48][1460/2475] eta: 0:01:30 time: 0.0895 data_time: 0.0617 memory: 817 2022/07/30 22:07:21 - mmengine - INFO - Epoch(val) [48][1480/2475] eta: 0:01:12 time: 0.0732 data_time: 0.0455 memory: 817 2022/07/30 22:07:23 - mmengine - INFO - Epoch(val) [48][1500/2475] eta: 0:01:30 time: 0.0926 data_time: 0.0647 memory: 817 2022/07/30 22:07:25 - mmengine - INFO - Epoch(val) [48][1520/2475] eta: 0:01:15 time: 0.0795 data_time: 0.0505 memory: 817 2022/07/30 22:07:27 - mmengine - INFO - Epoch(val) [48][1540/2475] eta: 0:01:25 time: 0.0916 data_time: 0.0637 memory: 817 2022/07/30 22:07:28 - mmengine - INFO - Epoch(val) [48][1560/2475] eta: 0:01:08 time: 0.0746 data_time: 0.0466 memory: 817 2022/07/30 22:07:30 - mmengine - INFO - Epoch(val) [48][1580/2475] eta: 0:01:13 time: 0.0822 data_time: 0.0441 memory: 817 2022/07/30 22:07:31 - mmengine - INFO - Epoch(val) [48][1600/2475] eta: 0:00:59 time: 0.0678 data_time: 0.0385 memory: 817 2022/07/30 22:07:33 - mmengine - INFO - Epoch(val) [48][1620/2475] eta: 0:01:16 time: 0.0893 data_time: 0.0614 memory: 817 2022/07/30 22:07:34 - mmengine - INFO - Epoch(val) [48][1640/2475] eta: 0:00:56 time: 0.0677 data_time: 0.0394 memory: 817 2022/07/30 22:07:36 - mmengine - INFO - Epoch(val) [48][1660/2475] eta: 0:01:20 time: 0.0985 data_time: 0.0712 memory: 817 2022/07/30 22:07:38 - mmengine - INFO - Epoch(val) [48][1680/2475] eta: 0:01:00 time: 0.0764 data_time: 0.0483 memory: 817 2022/07/30 22:07:40 - mmengine - INFO - Epoch(val) [48][1700/2475] eta: 0:01:11 time: 0.0920 data_time: 0.0633 memory: 817 2022/07/30 22:07:41 - mmengine - INFO - Epoch(val) [48][1720/2475] eta: 0:00:49 time: 0.0657 data_time: 0.0386 memory: 817 2022/07/30 22:07:43 - mmengine - INFO - Epoch(val) [48][1740/2475] eta: 0:01:05 time: 0.0893 data_time: 0.0624 memory: 817 2022/07/30 22:07:44 - mmengine - INFO - Epoch(val) [48][1760/2475] eta: 0:00:51 time: 0.0717 data_time: 0.0446 memory: 817 2022/07/30 22:07:46 - mmengine - INFO - Epoch(val) [48][1780/2475] eta: 0:00:59 time: 0.0855 data_time: 0.0568 memory: 817 2022/07/30 22:07:48 - mmengine - INFO - Epoch(val) [48][1800/2475] eta: 0:00:49 time: 0.0739 data_time: 0.0475 memory: 817 2022/07/30 22:07:50 - mmengine - INFO - Epoch(val) [48][1820/2475] eta: 0:01:06 time: 0.1014 data_time: 0.0738 memory: 817 2022/07/30 22:07:51 - mmengine - INFO - Epoch(val) [48][1840/2475] eta: 0:00:36 time: 0.0570 data_time: 0.0287 memory: 817 2022/07/30 22:07:53 - mmengine - INFO - Epoch(val) [48][1860/2475] eta: 0:00:54 time: 0.0884 data_time: 0.0620 memory: 817 2022/07/30 22:07:54 - mmengine - INFO - Epoch(val) [48][1880/2475] eta: 0:00:43 time: 0.0735 data_time: 0.0470 memory: 817 2022/07/30 22:07:56 - mmengine - INFO - Epoch(val) [48][1900/2475] eta: 0:00:48 time: 0.0845 data_time: 0.0562 memory: 817 2022/07/30 22:07:57 - mmengine - INFO - Epoch(val) [48][1920/2475] eta: 0:00:37 time: 0.0679 data_time: 0.0405 memory: 817 2022/07/30 22:07:59 - mmengine - INFO - Epoch(val) [48][1940/2475] eta: 0:00:50 time: 0.0937 data_time: 0.0643 memory: 817 2022/07/30 22:08:00 - mmengine - INFO - Epoch(val) [48][1960/2475] eta: 0:00:39 time: 0.0758 data_time: 0.0465 memory: 817 2022/07/30 22:08:02 - mmengine - INFO - Epoch(val) [48][1980/2475] eta: 0:00:39 time: 0.0790 data_time: 0.0505 memory: 817 2022/07/30 22:08:04 - mmengine - INFO - Epoch(val) [48][2000/2475] eta: 0:00:38 time: 0.0805 data_time: 0.0521 memory: 817 2022/07/30 22:08:05 - mmengine - INFO - Epoch(val) [48][2020/2475] eta: 0:00:31 time: 0.0693 data_time: 0.0426 memory: 817 2022/07/30 22:08:07 - mmengine - INFO - Epoch(val) [48][2040/2475] eta: 0:00:36 time: 0.0849 data_time: 0.0590 memory: 817 2022/07/30 22:08:08 - mmengine - INFO - Epoch(val) [48][2060/2475] eta: 0:00:33 time: 0.0803 data_time: 0.0526 memory: 817 2022/07/30 22:08:10 - mmengine - INFO - Epoch(val) [48][2080/2475] eta: 0:00:35 time: 0.0898 data_time: 0.0618 memory: 817 2022/07/30 22:08:12 - mmengine - INFO - Epoch(val) [48][2100/2475] eta: 0:00:26 time: 0.0699 data_time: 0.0417 memory: 817 2022/07/30 22:08:13 - mmengine - INFO - Epoch(val) [48][2120/2475] eta: 0:00:32 time: 0.0929 data_time: 0.0667 memory: 817 2022/07/30 22:08:15 - mmengine - INFO - Epoch(val) [48][2140/2475] eta: 0:00:22 time: 0.0683 data_time: 0.0404 memory: 817 2022/07/30 22:08:17 - mmengine - INFO - Epoch(val) [48][2160/2475] eta: 0:00:27 time: 0.0866 data_time: 0.0599 memory: 817 2022/07/30 22:08:18 - mmengine - INFO - Epoch(val) [48][2180/2475] eta: 0:00:22 time: 0.0748 data_time: 0.0479 memory: 817 2022/07/30 22:08:20 - mmengine - INFO - Epoch(val) [48][2200/2475] eta: 0:00:23 time: 0.0845 data_time: 0.0471 memory: 817 2022/07/30 22:08:21 - mmengine - INFO - Epoch(val) [48][2220/2475] eta: 0:00:22 time: 0.0866 data_time: 0.0592 memory: 817 2022/07/30 22:08:23 - mmengine - INFO - Epoch(val) [48][2240/2475] eta: 0:00:16 time: 0.0697 data_time: 0.0420 memory: 817 2022/07/30 22:08:25 - mmengine - INFO - Epoch(val) [48][2260/2475] eta: 0:00:20 time: 0.0932 data_time: 0.0660 memory: 817 2022/07/30 22:08:26 - mmengine - INFO - Epoch(val) [48][2280/2475] eta: 0:00:13 time: 0.0689 data_time: 0.0420 memory: 817 2022/07/30 22:08:28 - mmengine - INFO - Epoch(val) [48][2300/2475] eta: 0:00:15 time: 0.0901 data_time: 0.0635 memory: 817 2022/07/30 22:08:30 - mmengine - INFO - Epoch(val) [48][2320/2475] eta: 0:00:12 time: 0.0805 data_time: 0.0494 memory: 817 2022/07/30 22:08:31 - mmengine - INFO - Epoch(val) [48][2340/2475] eta: 0:00:10 time: 0.0804 data_time: 0.0524 memory: 817 2022/07/30 22:08:33 - mmengine - INFO - Epoch(val) [48][2360/2475] eta: 0:00:09 time: 0.0825 data_time: 0.0560 memory: 817 2022/07/30 22:08:35 - mmengine - INFO - Epoch(val) [48][2380/2475] eta: 0:00:08 time: 0.0861 data_time: 0.0588 memory: 817 2022/07/30 22:08:35 - mmengine - INFO - Epoch(val) [48][2400/2475] eta: 0:00:02 time: 0.0365 data_time: 0.0058 memory: 817 2022/07/30 22:08:36 - mmengine - INFO - Epoch(val) [48][2420/2475] eta: 0:00:01 time: 0.0272 data_time: 0.0018 memory: 817 2022/07/30 22:08:36 - mmengine - INFO - Epoch(val) [48][2440/2475] eta: 0:00:00 time: 0.0266 data_time: 0.0016 memory: 817 2022/07/30 22:08:37 - mmengine - INFO - Epoch(val) [48][2460/2475] eta: 0:00:00 time: 0.0279 data_time: 0.0029 memory: 817 2022/07/30 22:08:39 - mmengine - INFO - Epoch(val) [48][2475/2475] acc/top1: 0.7621 acc/top5: 0.9223 acc/mean1: 0.7620 2022/07/30 22:08:39 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_43.pth is removed 2022/07/30 22:08:40 - mmengine - INFO - The best checkpoint with 0.7621 acc/top1 at 49 epoch is saved to best_acc/top1_epoch_49.pth. 2022/07/30 22:09:06 - mmengine - INFO - Epoch(train) [49][20/2505] lr: 5.0000e-06 eta: 6:53:08 time: 1.2990 data_time: 0.6272 memory: 32703 grad_norm: 19.0317 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9186 loss: 0.9186 2022/07/30 22:09:24 - mmengine - INFO - Epoch(train) [49][40/2505] lr: 5.0000e-06 eta: 6:52:47 time: 0.9022 data_time: 0.2165 memory: 32703 grad_norm: 18.7096 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9571 loss: 0.9571 2022/07/30 22:09:45 - mmengine - INFO - Epoch(train) [49][60/2505] lr: 5.0000e-06 eta: 6:52:28 time: 1.0231 data_time: 0.1430 memory: 32703 grad_norm: 20.1943 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9972 loss: 0.9972 2022/07/30 22:10:03 - mmengine - INFO - Epoch(train) [49][80/2505] lr: 5.0000e-06 eta: 6:52:08 time: 0.9299 data_time: 0.1132 memory: 32703 grad_norm: 19.6980 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9162 loss: 0.9162 2022/07/30 22:10:25 - mmengine - INFO - Epoch(train) [49][100/2505] lr: 5.0000e-06 eta: 6:51:48 time: 1.0791 data_time: 0.1022 memory: 32703 grad_norm: 19.3542 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1138 loss: 1.1138 2022/07/30 22:10:43 - mmengine - INFO - Epoch(train) [49][120/2505] lr: 5.0000e-06 eta: 6:51:28 time: 0.9000 data_time: 0.0677 memory: 32703 grad_norm: 19.5249 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0346 loss: 1.0346 2022/07/30 22:11:04 - mmengine - INFO - Epoch(train) [49][140/2505] lr: 5.0000e-06 eta: 6:51:08 time: 1.0452 data_time: 0.2475 memory: 32703 grad_norm: 19.2530 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9685 loss: 0.9685 2022/07/30 22:11:22 - mmengine - INFO - Epoch(train) [49][160/2505] lr: 5.0000e-06 eta: 6:50:48 time: 0.9244 data_time: 0.1869 memory: 32703 grad_norm: 19.5322 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1061 loss: 1.1061 2022/07/30 22:11:43 - mmengine - INFO - Epoch(train) [49][180/2505] lr: 5.0000e-06 eta: 6:50:29 time: 1.0511 data_time: 0.2179 memory: 32703 grad_norm: 19.9879 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9766 loss: 0.9766 2022/07/30 22:12:02 - mmengine - INFO - Epoch(train) [49][200/2505] lr: 5.0000e-06 eta: 6:50:09 time: 0.9344 data_time: 0.1102 memory: 32703 grad_norm: 19.1775 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0773 loss: 1.0773 2022/07/30 22:12:23 - mmengine - INFO - Epoch(train) [49][220/2505] lr: 5.0000e-06 eta: 6:49:49 time: 1.0551 data_time: 0.0321 memory: 32703 grad_norm: 18.0480 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0013 loss: 1.0013 2022/07/30 22:12:41 - mmengine - INFO - Epoch(train) [49][240/2505] lr: 5.0000e-06 eta: 6:49:29 time: 0.8940 data_time: 0.0350 memory: 32703 grad_norm: 19.4026 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0266 loss: 1.0266 2022/07/30 22:13:03 - mmengine - INFO - Epoch(train) [49][260/2505] lr: 5.0000e-06 eta: 6:49:10 time: 1.0652 data_time: 0.0272 memory: 32703 grad_norm: 19.4576 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1175 loss: 1.1175 2022/07/30 22:13:20 - mmengine - INFO - Epoch(train) [49][280/2505] lr: 5.0000e-06 eta: 6:48:49 time: 0.8914 data_time: 0.0285 memory: 32703 grad_norm: 19.2736 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1219 loss: 1.1219 2022/07/30 22:13:42 - mmengine - INFO - Epoch(train) [49][300/2505] lr: 5.0000e-06 eta: 6:48:30 time: 1.0614 data_time: 0.0371 memory: 32703 grad_norm: 18.0704 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9719 loss: 0.9719 2022/07/30 22:14:00 - mmengine - INFO - Epoch(train) [49][320/2505] lr: 5.0000e-06 eta: 6:48:10 time: 0.9192 data_time: 0.0320 memory: 32703 grad_norm: 18.9399 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0267 loss: 1.0267 2022/07/30 22:14:21 - mmengine - INFO - Epoch(train) [49][340/2505] lr: 5.0000e-06 eta: 6:47:50 time: 1.0490 data_time: 0.0274 memory: 32703 grad_norm: 19.5209 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1882 loss: 1.1882 2022/07/30 22:14:39 - mmengine - INFO - Epoch(train) [49][360/2505] lr: 5.0000e-06 eta: 6:47:30 time: 0.8955 data_time: 0.0334 memory: 32703 grad_norm: 18.3999 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8805 loss: 0.8805 2022/07/30 22:15:00 - mmengine - INFO - Epoch(train) [49][380/2505] lr: 5.0000e-06 eta: 6:47:11 time: 1.0790 data_time: 0.0264 memory: 32703 grad_norm: 18.8352 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8862 loss: 0.8862 2022/07/30 22:15:20 - mmengine - INFO - Epoch(train) [49][400/2505] lr: 5.0000e-06 eta: 6:46:51 time: 0.9615 data_time: 0.0326 memory: 32703 grad_norm: 19.0894 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9317 loss: 0.9317 2022/07/30 22:15:41 - mmengine - INFO - Epoch(train) [49][420/2505] lr: 5.0000e-06 eta: 6:46:31 time: 1.0665 data_time: 0.0348 memory: 32703 grad_norm: 19.5964 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1247 loss: 1.1247 2022/07/30 22:15:59 - mmengine - INFO - Epoch(train) [49][440/2505] lr: 5.0000e-06 eta: 6:46:11 time: 0.9180 data_time: 0.0320 memory: 32703 grad_norm: 17.7050 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9126 loss: 0.9126 2022/07/30 22:16:20 - mmengine - INFO - Epoch(train) [49][460/2505] lr: 5.0000e-06 eta: 6:45:51 time: 1.0502 data_time: 0.0293 memory: 32703 grad_norm: 19.9913 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9433 loss: 0.9433 2022/07/30 22:16:39 - mmengine - INFO - Epoch(train) [49][480/2505] lr: 5.0000e-06 eta: 6:45:31 time: 0.9131 data_time: 0.0274 memory: 32703 grad_norm: 18.9511 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9326 loss: 0.9326 2022/07/30 22:16:59 - mmengine - INFO - Epoch(train) [49][500/2505] lr: 5.0000e-06 eta: 6:45:12 time: 1.0305 data_time: 0.0288 memory: 32703 grad_norm: 18.2716 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0481 loss: 1.0481 2022/07/30 22:17:18 - mmengine - INFO - Epoch(train) [49][520/2505] lr: 5.0000e-06 eta: 6:44:52 time: 0.9213 data_time: 0.0274 memory: 32703 grad_norm: 19.1264 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8975 loss: 0.8975 2022/07/30 22:17:39 - mmengine - INFO - Epoch(train) [49][540/2505] lr: 5.0000e-06 eta: 6:44:32 time: 1.0445 data_time: 0.0293 memory: 32703 grad_norm: 18.8349 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9370 loss: 0.9370 2022/07/30 22:17:57 - mmengine - INFO - Epoch(train) [49][560/2505] lr: 5.0000e-06 eta: 6:44:12 time: 0.8986 data_time: 0.0266 memory: 32703 grad_norm: 18.6421 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9770 loss: 0.9770 2022/07/30 22:18:17 - mmengine - INFO - Epoch(train) [49][580/2505] lr: 5.0000e-06 eta: 6:43:52 time: 1.0112 data_time: 0.0279 memory: 32703 grad_norm: 18.4947 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.0123 loss: 1.0123 2022/07/30 22:18:36 - mmengine - INFO - Epoch(train) [49][600/2505] lr: 5.0000e-06 eta: 6:43:32 time: 0.9611 data_time: 0.0275 memory: 32703 grad_norm: 19.8188 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8340 loss: 0.8340 2022/07/30 22:18:57 - mmengine - INFO - Epoch(train) [49][620/2505] lr: 5.0000e-06 eta: 6:43:13 time: 1.0613 data_time: 0.0295 memory: 32703 grad_norm: 19.0569 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0365 loss: 1.0365 2022/07/30 22:19:15 - mmengine - INFO - Epoch(train) [49][640/2505] lr: 5.0000e-06 eta: 6:42:53 time: 0.9080 data_time: 0.0297 memory: 32703 grad_norm: 19.4275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9558 loss: 0.9558 2022/07/30 22:19:35 - mmengine - INFO - Epoch(train) [49][660/2505] lr: 5.0000e-06 eta: 6:42:33 time: 0.9837 data_time: 0.0257 memory: 32703 grad_norm: 18.7952 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1271 loss: 1.1271 2022/07/30 22:19:55 - mmengine - INFO - Epoch(train) [49][680/2505] lr: 5.0000e-06 eta: 6:42:13 time: 0.9717 data_time: 0.0325 memory: 32703 grad_norm: 19.2100 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0141 loss: 1.0141 2022/07/30 22:20:16 - mmengine - INFO - Epoch(train) [49][700/2505] lr: 5.0000e-06 eta: 6:41:53 time: 1.0475 data_time: 0.0293 memory: 32703 grad_norm: 18.7192 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9697 loss: 0.9697 2022/07/30 22:20:34 - mmengine - INFO - Epoch(train) [49][720/2505] lr: 5.0000e-06 eta: 6:41:33 time: 0.9364 data_time: 0.0310 memory: 32703 grad_norm: 19.2410 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9161 loss: 0.9161 2022/07/30 22:20:55 - mmengine - INFO - Epoch(train) [49][740/2505] lr: 5.0000e-06 eta: 6:41:14 time: 1.0455 data_time: 0.0278 memory: 32703 grad_norm: 19.2444 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1312 loss: 1.1312 2022/07/30 22:21:14 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 22:21:14 - mmengine - INFO - Epoch(train) [49][760/2505] lr: 5.0000e-06 eta: 6:40:54 time: 0.9537 data_time: 0.0280 memory: 32703 grad_norm: 19.5743 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0323 loss: 1.0323 2022/07/30 22:21:35 - mmengine - INFO - Epoch(train) [49][780/2505] lr: 5.0000e-06 eta: 6:40:34 time: 1.0151 data_time: 0.0262 memory: 32703 grad_norm: 18.7802 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0521 loss: 1.0521 2022/07/30 22:21:53 - mmengine - INFO - Epoch(train) [49][800/2505] lr: 5.0000e-06 eta: 6:40:14 time: 0.8985 data_time: 0.0295 memory: 32703 grad_norm: 19.1890 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9420 loss: 0.9420 2022/07/30 22:22:13 - mmengine - INFO - Epoch(train) [49][820/2505] lr: 5.0000e-06 eta: 6:39:54 time: 1.0440 data_time: 0.0262 memory: 32703 grad_norm: 19.6119 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1191 loss: 1.1191 2022/07/30 22:22:32 - mmengine - INFO - Epoch(train) [49][840/2505] lr: 5.0000e-06 eta: 6:39:34 time: 0.9136 data_time: 0.0275 memory: 32703 grad_norm: 19.3061 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9023 loss: 0.9023 2022/07/30 22:22:53 - mmengine - INFO - Epoch(train) [49][860/2505] lr: 5.0000e-06 eta: 6:39:15 time: 1.0434 data_time: 0.0263 memory: 32703 grad_norm: 19.0558 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0151 loss: 1.0151 2022/07/30 22:23:10 - mmengine - INFO - Epoch(train) [49][880/2505] lr: 5.0000e-06 eta: 6:38:54 time: 0.8899 data_time: 0.0265 memory: 32703 grad_norm: 18.9091 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9969 loss: 0.9969 2022/07/30 22:23:32 - mmengine - INFO - Epoch(train) [49][900/2505] lr: 5.0000e-06 eta: 6:38:35 time: 1.0607 data_time: 0.0266 memory: 32703 grad_norm: 19.0002 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1580 loss: 1.1580 2022/07/30 22:23:49 - mmengine - INFO - Epoch(train) [49][920/2505] lr: 5.0000e-06 eta: 6:38:14 time: 0.8552 data_time: 0.0317 memory: 32703 grad_norm: 18.8608 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8088 loss: 0.8088 2022/07/30 22:24:10 - mmengine - INFO - Epoch(train) [49][940/2505] lr: 5.0000e-06 eta: 6:37:55 time: 1.0533 data_time: 0.0266 memory: 32703 grad_norm: 18.9869 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0293 loss: 1.0293 2022/07/30 22:24:29 - mmengine - INFO - Epoch(train) [49][960/2505] lr: 5.0000e-06 eta: 6:37:35 time: 0.9443 data_time: 0.0280 memory: 32703 grad_norm: 19.4270 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0266 loss: 1.0266 2022/07/30 22:24:50 - mmengine - INFO - Epoch(train) [49][980/2505] lr: 5.0000e-06 eta: 6:37:15 time: 1.0659 data_time: 0.0270 memory: 32703 grad_norm: 18.4982 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9524 loss: 0.9524 2022/07/30 22:25:09 - mmengine - INFO - Epoch(train) [49][1000/2505] lr: 5.0000e-06 eta: 6:36:55 time: 0.9276 data_time: 0.0251 memory: 32703 grad_norm: 19.8077 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9170 loss: 0.9170 2022/07/30 22:25:30 - mmengine - INFO - Epoch(train) [49][1020/2505] lr: 5.0000e-06 eta: 6:36:36 time: 1.0539 data_time: 0.0271 memory: 32703 grad_norm: 18.0134 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0568 loss: 1.0568 2022/07/30 22:25:48 - mmengine - INFO - Epoch(train) [49][1040/2505] lr: 5.0000e-06 eta: 6:36:16 time: 0.9100 data_time: 0.0323 memory: 32703 grad_norm: 18.7475 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.7887 loss: 0.7887 2022/07/30 22:26:08 - mmengine - INFO - Epoch(train) [49][1060/2505] lr: 5.0000e-06 eta: 6:35:56 time: 1.0225 data_time: 0.0275 memory: 32703 grad_norm: 19.5643 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8380 loss: 0.8380 2022/07/30 22:26:27 - mmengine - INFO - Epoch(train) [49][1080/2505] lr: 5.0000e-06 eta: 6:35:36 time: 0.9260 data_time: 0.0264 memory: 32703 grad_norm: 19.6388 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8844 loss: 0.8844 2022/07/30 22:26:48 - mmengine - INFO - Epoch(train) [49][1100/2505] lr: 5.0000e-06 eta: 6:35:16 time: 1.0374 data_time: 0.0341 memory: 32703 grad_norm: 19.7439 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0490 loss: 1.0490 2022/07/30 22:27:06 - mmengine - INFO - Epoch(train) [49][1120/2505] lr: 5.0000e-06 eta: 6:34:56 time: 0.9313 data_time: 0.0325 memory: 32703 grad_norm: 19.2880 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1187 loss: 1.1187 2022/07/30 22:27:26 - mmengine - INFO - Epoch(train) [49][1140/2505] lr: 5.0000e-06 eta: 6:34:36 time: 0.9946 data_time: 0.0319 memory: 32703 grad_norm: 19.3197 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8716 loss: 0.8716 2022/07/30 22:27:44 - mmengine - INFO - Epoch(train) [49][1160/2505] lr: 5.0000e-06 eta: 6:34:16 time: 0.8936 data_time: 0.0260 memory: 32703 grad_norm: 18.6661 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9013 loss: 0.9013 2022/07/30 22:28:05 - mmengine - INFO - Epoch(train) [49][1180/2505] lr: 5.0000e-06 eta: 6:33:57 time: 1.0713 data_time: 0.0347 memory: 32703 grad_norm: 19.2167 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8667 loss: 0.8667 2022/07/30 22:28:23 - mmengine - INFO - Epoch(train) [49][1200/2505] lr: 5.0000e-06 eta: 6:33:37 time: 0.8815 data_time: 0.0302 memory: 32703 grad_norm: 18.3562 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1389 loss: 1.1389 2022/07/30 22:28:44 - mmengine - INFO - Epoch(train) [49][1220/2505] lr: 5.0000e-06 eta: 6:33:17 time: 1.0577 data_time: 0.0259 memory: 32703 grad_norm: 20.1186 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0946 loss: 1.0946 2022/07/30 22:29:02 - mmengine - INFO - Epoch(train) [49][1240/2505] lr: 5.0000e-06 eta: 6:32:57 time: 0.8730 data_time: 0.0330 memory: 32703 grad_norm: 19.1586 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9679 loss: 0.9679 2022/07/30 22:29:24 - mmengine - INFO - Epoch(train) [49][1260/2505] lr: 5.0000e-06 eta: 6:32:37 time: 1.0936 data_time: 0.0275 memory: 32703 grad_norm: 19.1066 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8121 loss: 0.8121 2022/07/30 22:29:41 - mmengine - INFO - Epoch(train) [49][1280/2505] lr: 5.0000e-06 eta: 6:32:17 time: 0.8720 data_time: 0.0307 memory: 32703 grad_norm: 19.3078 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0869 loss: 1.0869 2022/07/30 22:30:03 - mmengine - INFO - Epoch(train) [49][1300/2505] lr: 5.0000e-06 eta: 6:31:58 time: 1.0748 data_time: 0.0276 memory: 32703 grad_norm: 19.0467 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0752 loss: 1.0752 2022/07/30 22:30:21 - mmengine - INFO - Epoch(train) [49][1320/2505] lr: 5.0000e-06 eta: 6:31:38 time: 0.9311 data_time: 0.0316 memory: 32703 grad_norm: 18.8935 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1574 loss: 1.1574 2022/07/30 22:30:43 - mmengine - INFO - Epoch(train) [49][1340/2505] lr: 5.0000e-06 eta: 6:31:18 time: 1.0737 data_time: 0.0242 memory: 32703 grad_norm: 19.2189 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1035 loss: 1.1035 2022/07/30 22:31:01 - mmengine - INFO - Epoch(train) [49][1360/2505] lr: 5.0000e-06 eta: 6:30:58 time: 0.8919 data_time: 0.0293 memory: 32703 grad_norm: 18.8874 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 1.0264 loss: 1.0264 2022/07/30 22:31:22 - mmengine - INFO - Epoch(train) [49][1380/2505] lr: 5.0000e-06 eta: 6:30:38 time: 1.0747 data_time: 0.0273 memory: 32703 grad_norm: 19.6111 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9503 loss: 0.9503 2022/07/30 22:31:40 - mmengine - INFO - Epoch(train) [49][1400/2505] lr: 5.0000e-06 eta: 6:30:18 time: 0.9104 data_time: 0.0314 memory: 32703 grad_norm: 18.5560 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1249 loss: 1.1249 2022/07/30 22:32:02 - mmengine - INFO - Epoch(train) [49][1420/2505] lr: 5.0000e-06 eta: 6:29:59 time: 1.0689 data_time: 0.0288 memory: 32703 grad_norm: 20.1703 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9234 loss: 0.9234 2022/07/30 22:32:20 - mmengine - INFO - Epoch(train) [49][1440/2505] lr: 5.0000e-06 eta: 6:29:39 time: 0.9054 data_time: 0.0300 memory: 32703 grad_norm: 19.5095 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9607 loss: 0.9607 2022/07/30 22:32:41 - mmengine - INFO - Epoch(train) [49][1460/2505] lr: 5.0000e-06 eta: 6:29:19 time: 1.0712 data_time: 0.0255 memory: 32703 grad_norm: 18.7969 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2556 loss: 1.2556 2022/07/30 22:32:59 - mmengine - INFO - Epoch(train) [49][1480/2505] lr: 5.0000e-06 eta: 6:28:59 time: 0.9034 data_time: 0.0295 memory: 32703 grad_norm: 19.6640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9338 loss: 0.9338 2022/07/30 22:33:21 - mmengine - INFO - Epoch(train) [49][1500/2505] lr: 5.0000e-06 eta: 6:28:40 time: 1.0618 data_time: 0.0305 memory: 32703 grad_norm: 17.5947 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0099 loss: 1.0099 2022/07/30 22:33:39 - mmengine - INFO - Epoch(train) [49][1520/2505] lr: 5.0000e-06 eta: 6:28:20 time: 0.9318 data_time: 0.0278 memory: 32703 grad_norm: 19.4773 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1035 loss: 1.1035 2022/07/30 22:34:00 - mmengine - INFO - Epoch(train) [49][1540/2505] lr: 5.0000e-06 eta: 6:28:00 time: 1.0406 data_time: 0.0278 memory: 32703 grad_norm: 20.3176 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9503 loss: 0.9503 2022/07/30 22:34:19 - mmengine - INFO - Epoch(train) [49][1560/2505] lr: 5.0000e-06 eta: 6:27:40 time: 0.9581 data_time: 0.0260 memory: 32703 grad_norm: 19.1095 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0753 loss: 1.0753 2022/07/30 22:34:40 - mmengine - INFO - Epoch(train) [49][1580/2505] lr: 5.0000e-06 eta: 6:27:20 time: 1.0391 data_time: 0.0302 memory: 32703 grad_norm: 18.3398 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9542 loss: 0.9542 2022/07/30 22:34:58 - mmengine - INFO - Epoch(train) [49][1600/2505] lr: 5.0000e-06 eta: 6:27:00 time: 0.8902 data_time: 0.0268 memory: 32703 grad_norm: 17.7475 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8369 loss: 0.8369 2022/07/30 22:35:20 - mmengine - INFO - Epoch(train) [49][1620/2505] lr: 5.0000e-06 eta: 6:26:41 time: 1.1099 data_time: 0.0294 memory: 32703 grad_norm: 18.5094 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8693 loss: 0.8693 2022/07/30 22:35:39 - mmengine - INFO - Epoch(train) [49][1640/2505] lr: 5.0000e-06 eta: 6:26:21 time: 0.9285 data_time: 0.0311 memory: 32703 grad_norm: 19.4350 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9518 loss: 0.9518 2022/07/30 22:35:59 - mmengine - INFO - Epoch(train) [49][1660/2505] lr: 5.0000e-06 eta: 6:26:01 time: 1.0397 data_time: 0.0317 memory: 32703 grad_norm: 19.2710 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0352 loss: 1.0352 2022/07/30 22:36:17 - mmengine - INFO - Epoch(train) [49][1680/2505] lr: 5.0000e-06 eta: 6:25:41 time: 0.8953 data_time: 0.0294 memory: 32703 grad_norm: 19.2256 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8672 loss: 0.8672 2022/07/30 22:36:39 - mmengine - INFO - Epoch(train) [49][1700/2505] lr: 5.0000e-06 eta: 6:25:21 time: 1.0683 data_time: 0.0360 memory: 32703 grad_norm: 18.5371 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7768 loss: 0.7768 2022/07/30 22:36:57 - mmengine - INFO - Epoch(train) [49][1720/2505] lr: 5.0000e-06 eta: 6:25:01 time: 0.9208 data_time: 0.0286 memory: 32703 grad_norm: 19.4977 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0247 loss: 1.0247 2022/07/30 22:37:18 - mmengine - INFO - Epoch(train) [49][1740/2505] lr: 5.0000e-06 eta: 6:24:42 time: 1.0268 data_time: 0.0288 memory: 32703 grad_norm: 18.4131 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9142 loss: 0.9142 2022/07/30 22:37:36 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 22:37:36 - mmengine - INFO - Epoch(train) [49][1760/2505] lr: 5.0000e-06 eta: 6:24:22 time: 0.9024 data_time: 0.0253 memory: 32703 grad_norm: 18.8479 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8820 loss: 0.8820 2022/07/30 22:37:57 - mmengine - INFO - Epoch(train) [49][1780/2505] lr: 5.0000e-06 eta: 6:24:02 time: 1.0730 data_time: 0.0280 memory: 32703 grad_norm: 19.3525 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9789 loss: 0.9789 2022/07/30 22:38:15 - mmengine - INFO - Epoch(train) [49][1800/2505] lr: 5.0000e-06 eta: 6:23:42 time: 0.8777 data_time: 0.0305 memory: 32703 grad_norm: 19.1291 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9250 loss: 0.9250 2022/07/30 22:38:36 - mmengine - INFO - Epoch(train) [49][1820/2505] lr: 5.0000e-06 eta: 6:23:22 time: 1.0666 data_time: 0.0275 memory: 32703 grad_norm: 18.9682 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9596 loss: 0.9596 2022/07/30 22:38:54 - mmengine - INFO - Epoch(train) [49][1840/2505] lr: 5.0000e-06 eta: 6:23:02 time: 0.9042 data_time: 0.0278 memory: 32703 grad_norm: 18.1846 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9249 loss: 0.9249 2022/07/30 22:39:15 - mmengine - INFO - Epoch(train) [49][1860/2505] lr: 5.0000e-06 eta: 6:22:43 time: 1.0308 data_time: 0.0289 memory: 32703 grad_norm: 19.1052 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0682 loss: 1.0682 2022/07/30 22:39:33 - mmengine - INFO - Epoch(train) [49][1880/2505] lr: 5.0000e-06 eta: 6:22:22 time: 0.8939 data_time: 0.0326 memory: 32703 grad_norm: 18.4554 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.7906 loss: 0.7906 2022/07/30 22:39:53 - mmengine - INFO - Epoch(train) [49][1900/2505] lr: 5.0000e-06 eta: 6:22:03 time: 1.0346 data_time: 0.0259 memory: 32703 grad_norm: 18.8022 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9809 loss: 0.9809 2022/07/30 22:40:12 - mmengine - INFO - Epoch(train) [49][1920/2505] lr: 5.0000e-06 eta: 6:21:43 time: 0.9416 data_time: 0.0316 memory: 32703 grad_norm: 19.9305 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2038 loss: 1.2038 2022/07/30 22:40:33 - mmengine - INFO - Epoch(train) [49][1940/2505] lr: 5.0000e-06 eta: 6:21:23 time: 1.0623 data_time: 0.0268 memory: 32703 grad_norm: 18.5277 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8915 loss: 0.8915 2022/07/30 22:40:52 - mmengine - INFO - Epoch(train) [49][1960/2505] lr: 5.0000e-06 eta: 6:21:03 time: 0.9043 data_time: 0.0312 memory: 32703 grad_norm: 20.5010 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0936 loss: 1.0936 2022/07/30 22:41:13 - mmengine - INFO - Epoch(train) [49][1980/2505] lr: 5.0000e-06 eta: 6:20:44 time: 1.0555 data_time: 0.0316 memory: 32703 grad_norm: 19.0851 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8999 loss: 0.8999 2022/07/30 22:41:31 - mmengine - INFO - Epoch(train) [49][2000/2505] lr: 5.0000e-06 eta: 6:20:24 time: 0.9181 data_time: 0.0280 memory: 32703 grad_norm: 19.5364 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0932 loss: 1.0932 2022/07/30 22:41:52 - mmengine - INFO - Epoch(train) [49][2020/2505] lr: 5.0000e-06 eta: 6:20:04 time: 1.0288 data_time: 0.0291 memory: 32703 grad_norm: 18.7729 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0044 loss: 1.0044 2022/07/30 22:42:10 - mmengine - INFO - Epoch(train) [49][2040/2505] lr: 5.0000e-06 eta: 6:19:44 time: 0.9088 data_time: 0.0301 memory: 32703 grad_norm: 19.6096 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9730 loss: 0.9730 2022/07/30 22:42:30 - mmengine - INFO - Epoch(train) [49][2060/2505] lr: 5.0000e-06 eta: 6:19:24 time: 1.0346 data_time: 0.0281 memory: 32703 grad_norm: 19.2137 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9597 loss: 0.9597 2022/07/30 22:42:48 - mmengine - INFO - Epoch(train) [49][2080/2505] lr: 5.0000e-06 eta: 6:19:04 time: 0.8941 data_time: 0.0315 memory: 32703 grad_norm: 19.3700 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1125 loss: 1.1125 2022/07/30 22:43:09 - mmengine - INFO - Epoch(train) [49][2100/2505] lr: 5.0000e-06 eta: 6:18:44 time: 1.0442 data_time: 0.0298 memory: 32703 grad_norm: 19.0753 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.7681 loss: 0.7681 2022/07/30 22:43:28 - mmengine - INFO - Epoch(train) [49][2120/2505] lr: 5.0000e-06 eta: 6:18:24 time: 0.9012 data_time: 0.0275 memory: 32703 grad_norm: 19.4482 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1116 loss: 1.1116 2022/07/30 22:43:49 - mmengine - INFO - Epoch(train) [49][2140/2505] lr: 5.0000e-06 eta: 6:18:05 time: 1.0622 data_time: 0.0460 memory: 32703 grad_norm: 18.8914 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8175 loss: 0.8175 2022/07/30 22:44:07 - mmengine - INFO - Epoch(train) [49][2160/2505] lr: 5.0000e-06 eta: 6:17:45 time: 0.9342 data_time: 0.0311 memory: 32703 grad_norm: 18.9960 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1634 loss: 1.1634 2022/07/30 22:44:28 - mmengine - INFO - Epoch(train) [49][2180/2505] lr: 5.0000e-06 eta: 6:17:25 time: 1.0427 data_time: 0.0327 memory: 32703 grad_norm: 19.8097 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7925 loss: 0.7925 2022/07/30 22:44:46 - mmengine - INFO - Epoch(train) [49][2200/2505] lr: 5.0000e-06 eta: 6:17:05 time: 0.9138 data_time: 0.0280 memory: 32703 grad_norm: 18.4223 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0512 loss: 1.0512 2022/07/30 22:45:08 - mmengine - INFO - Epoch(train) [49][2220/2505] lr: 5.0000e-06 eta: 6:16:46 time: 1.1000 data_time: 0.0267 memory: 32703 grad_norm: 19.1811 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9663 loss: 0.9663 2022/07/30 22:45:27 - mmengine - INFO - Epoch(train) [49][2240/2505] lr: 5.0000e-06 eta: 6:16:25 time: 0.9117 data_time: 0.0263 memory: 32703 grad_norm: 19.0287 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8771 loss: 0.8771 2022/07/30 22:45:48 - mmengine - INFO - Epoch(train) [49][2260/2505] lr: 5.0000e-06 eta: 6:16:06 time: 1.0482 data_time: 0.0287 memory: 32703 grad_norm: 19.4841 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9040 loss: 0.9040 2022/07/30 22:46:05 - mmengine - INFO - Epoch(train) [49][2280/2505] lr: 5.0000e-06 eta: 6:15:46 time: 0.8790 data_time: 0.0317 memory: 32703 grad_norm: 18.7002 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0705 loss: 1.0705 2022/07/30 22:46:26 - mmengine - INFO - Epoch(train) [49][2300/2505] lr: 5.0000e-06 eta: 6:15:26 time: 1.0355 data_time: 0.0309 memory: 32703 grad_norm: 18.3604 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0137 loss: 1.0137 2022/07/30 22:46:44 - mmengine - INFO - Epoch(train) [49][2320/2505] lr: 5.0000e-06 eta: 6:15:06 time: 0.9172 data_time: 0.0289 memory: 32703 grad_norm: 19.2956 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9249 loss: 0.9249 2022/07/30 22:47:06 - mmengine - INFO - Epoch(train) [49][2340/2505] lr: 5.0000e-06 eta: 6:14:46 time: 1.0622 data_time: 0.0295 memory: 32703 grad_norm: 19.1560 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9128 loss: 0.9128 2022/07/30 22:47:24 - mmengine - INFO - Epoch(train) [49][2360/2505] lr: 5.0000e-06 eta: 6:14:26 time: 0.9005 data_time: 0.0263 memory: 32703 grad_norm: 18.2831 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9029 loss: 0.9029 2022/07/30 22:47:44 - mmengine - INFO - Epoch(train) [49][2380/2505] lr: 5.0000e-06 eta: 6:14:07 time: 1.0373 data_time: 0.0304 memory: 32703 grad_norm: 18.3657 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8264 loss: 0.8264 2022/07/30 22:48:02 - mmengine - INFO - Epoch(train) [49][2400/2505] lr: 5.0000e-06 eta: 6:13:47 time: 0.9100 data_time: 0.0308 memory: 32703 grad_norm: 19.5436 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1052 loss: 1.1052 2022/07/30 22:48:23 - mmengine - INFO - Epoch(train) [49][2420/2505] lr: 5.0000e-06 eta: 6:13:27 time: 1.0439 data_time: 0.0285 memory: 32703 grad_norm: 19.4993 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9173 loss: 0.9173 2022/07/30 22:48:42 - mmengine - INFO - Epoch(train) [49][2440/2505] lr: 5.0000e-06 eta: 6:13:07 time: 0.9368 data_time: 0.0270 memory: 32703 grad_norm: 19.2724 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9679 loss: 0.9679 2022/07/30 22:49:03 - mmengine - INFO - Epoch(train) [49][2460/2505] lr: 5.0000e-06 eta: 6:12:47 time: 1.0506 data_time: 0.0303 memory: 32703 grad_norm: 18.7281 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9228 loss: 0.9228 2022/07/30 22:49:21 - mmengine - INFO - Epoch(train) [49][2480/2505] lr: 5.0000e-06 eta: 6:12:27 time: 0.9077 data_time: 0.0276 memory: 32703 grad_norm: 19.1105 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0923 loss: 1.0923 2022/07/30 22:49:39 - mmengine - INFO - Epoch(train) [49][2500/2505] lr: 5.0000e-06 eta: 6:12:07 time: 0.9038 data_time: 0.0300 memory: 32703 grad_norm: 19.0842 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8298 loss: 0.8298 2022/07/30 22:49:42 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 22:49:42 - mmengine - INFO - Epoch(train) [49][2505/2505] lr: 5.0000e-06 eta: 6:12:07 time: 0.7662 data_time: 0.0206 memory: 32703 grad_norm: 19.2094 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8938 loss: 0.8938 2022/07/30 22:50:09 - mmengine - INFO - Epoch(train) [50][20/2505] lr: 5.0000e-06 eta: 6:11:43 time: 1.3379 data_time: 0.6203 memory: 32703 grad_norm: 18.9866 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0319 loss: 1.0319 2022/07/30 22:50:29 - mmengine - INFO - Epoch(train) [50][40/2505] lr: 5.0000e-06 eta: 6:11:23 time: 0.9912 data_time: 0.3784 memory: 32703 grad_norm: 18.7470 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9858 loss: 0.9858 2022/07/30 22:50:51 - mmengine - INFO - Epoch(train) [50][60/2505] lr: 5.0000e-06 eta: 6:11:04 time: 1.0991 data_time: 0.3171 memory: 32703 grad_norm: 19.0858 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1284 loss: 1.1284 2022/07/30 22:51:09 - mmengine - INFO - Epoch(train) [50][80/2505] lr: 5.0000e-06 eta: 6:10:44 time: 0.9246 data_time: 0.1770 memory: 32703 grad_norm: 18.4991 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8279 loss: 0.8279 2022/07/30 22:51:31 - mmengine - INFO - Epoch(train) [50][100/2505] lr: 5.0000e-06 eta: 6:10:24 time: 1.0882 data_time: 0.1943 memory: 32703 grad_norm: 19.4863 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9453 loss: 0.9453 2022/07/30 22:51:49 - mmengine - INFO - Epoch(train) [50][120/2505] lr: 5.0000e-06 eta: 6:10:04 time: 0.8766 data_time: 0.1110 memory: 32703 grad_norm: 19.0428 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9501 loss: 0.9501 2022/07/30 22:52:10 - mmengine - INFO - Epoch(train) [50][140/2505] lr: 5.0000e-06 eta: 6:09:44 time: 1.0598 data_time: 0.3051 memory: 32703 grad_norm: 19.0153 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0119 loss: 1.0119 2022/07/30 22:52:29 - mmengine - INFO - Epoch(train) [50][160/2505] lr: 5.0000e-06 eta: 6:09:24 time: 0.9485 data_time: 0.1737 memory: 32703 grad_norm: 18.9505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8871 loss: 0.8871 2022/07/30 22:52:50 - mmengine - INFO - Epoch(train) [50][180/2505] lr: 5.0000e-06 eta: 6:09:05 time: 1.0359 data_time: 0.0841 memory: 32703 grad_norm: 18.7117 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8976 loss: 0.8976 2022/07/30 22:53:08 - mmengine - INFO - Epoch(train) [50][200/2505] lr: 5.0000e-06 eta: 6:08:45 time: 0.9304 data_time: 0.1996 memory: 32703 grad_norm: 19.2373 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2447 loss: 1.2447 2022/07/30 22:53:30 - mmengine - INFO - Epoch(train) [50][220/2505] lr: 5.0000e-06 eta: 6:08:25 time: 1.0861 data_time: 0.0665 memory: 32703 grad_norm: 18.2227 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.9339 loss: 0.9339 2022/07/30 22:53:48 - mmengine - INFO - Epoch(train) [50][240/2505] lr: 5.0000e-06 eta: 6:08:05 time: 0.8980 data_time: 0.0413 memory: 32703 grad_norm: 19.3666 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8552 loss: 0.8552 2022/07/30 22:54:03 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 22:54:09 - mmengine - INFO - Epoch(train) [50][260/2505] lr: 5.0000e-06 eta: 6:07:46 time: 1.0536 data_time: 0.0344 memory: 32703 grad_norm: 18.1085 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9846 loss: 0.9846 2022/07/30 22:54:27 - mmengine - INFO - Epoch(train) [50][280/2505] lr: 5.0000e-06 eta: 6:07:25 time: 0.8996 data_time: 0.0335 memory: 32703 grad_norm: 18.4131 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0178 loss: 1.0178 2022/07/30 22:54:48 - mmengine - INFO - Epoch(train) [50][300/2505] lr: 5.0000e-06 eta: 6:07:06 time: 1.0717 data_time: 0.0607 memory: 32703 grad_norm: 19.5078 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1511 loss: 1.1511 2022/07/30 22:55:07 - mmengine - INFO - Epoch(train) [50][320/2505] lr: 5.0000e-06 eta: 6:06:46 time: 0.9110 data_time: 0.1196 memory: 32703 grad_norm: 17.8282 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9509 loss: 0.9509 2022/07/30 22:55:28 - mmengine - INFO - Epoch(train) [50][340/2505] lr: 5.0000e-06 eta: 6:06:26 time: 1.0903 data_time: 0.1060 memory: 32703 grad_norm: 18.3962 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9792 loss: 0.9792 2022/07/30 22:55:46 - mmengine - INFO - Epoch(train) [50][360/2505] lr: 5.0000e-06 eta: 6:06:06 time: 0.8857 data_time: 0.0312 memory: 32703 grad_norm: 18.8750 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9847 loss: 0.9847 2022/07/30 22:56:08 - mmengine - INFO - Epoch(train) [50][380/2505] lr: 5.0000e-06 eta: 6:05:47 time: 1.0900 data_time: 0.0317 memory: 32703 grad_norm: 17.9077 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9138 loss: 0.9138 2022/07/30 22:56:26 - mmengine - INFO - Epoch(train) [50][400/2505] lr: 5.0000e-06 eta: 6:05:27 time: 0.9160 data_time: 0.0318 memory: 32703 grad_norm: 19.1568 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0842 loss: 1.0842 2022/07/30 22:56:47 - mmengine - INFO - Epoch(train) [50][420/2505] lr: 5.0000e-06 eta: 6:05:07 time: 1.0447 data_time: 0.0278 memory: 32703 grad_norm: 18.5386 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1390 loss: 1.1390 2022/07/30 22:57:05 - mmengine - INFO - Epoch(train) [50][440/2505] lr: 5.0000e-06 eta: 6:04:47 time: 0.8758 data_time: 0.0314 memory: 32703 grad_norm: 19.1772 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9713 loss: 0.9713 2022/07/30 22:57:26 - mmengine - INFO - Epoch(train) [50][460/2505] lr: 5.0000e-06 eta: 6:04:27 time: 1.0717 data_time: 0.0326 memory: 32703 grad_norm: 19.2869 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0393 loss: 1.0393 2022/07/30 22:57:44 - mmengine - INFO - Epoch(train) [50][480/2505] lr: 5.0000e-06 eta: 6:04:07 time: 0.8960 data_time: 0.0327 memory: 32703 grad_norm: 20.4096 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.3700 loss: 1.3700 2022/07/30 22:58:06 - mmengine - INFO - Epoch(train) [50][500/2505] lr: 5.0000e-06 eta: 6:03:48 time: 1.0770 data_time: 0.0279 memory: 32703 grad_norm: 18.5184 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9629 loss: 0.9629 2022/07/30 22:58:23 - mmengine - INFO - Epoch(train) [50][520/2505] lr: 5.0000e-06 eta: 6:03:28 time: 0.8912 data_time: 0.0314 memory: 32703 grad_norm: 18.6756 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9696 loss: 0.9696 2022/07/30 22:58:45 - mmengine - INFO - Epoch(train) [50][540/2505] lr: 5.0000e-06 eta: 6:03:08 time: 1.0855 data_time: 0.0292 memory: 32703 grad_norm: 19.2166 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7986 loss: 0.7986 2022/07/30 22:59:03 - mmengine - INFO - Epoch(train) [50][560/2505] lr: 5.0000e-06 eta: 6:02:48 time: 0.9058 data_time: 0.0327 memory: 32703 grad_norm: 19.3336 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0663 loss: 1.0663 2022/07/30 22:59:24 - mmengine - INFO - Epoch(train) [50][580/2505] lr: 5.0000e-06 eta: 6:02:28 time: 1.0186 data_time: 0.0282 memory: 32703 grad_norm: 19.2182 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8979 loss: 0.8979 2022/07/30 22:59:42 - mmengine - INFO - Epoch(train) [50][600/2505] lr: 5.0000e-06 eta: 6:02:08 time: 0.8935 data_time: 0.0259 memory: 32703 grad_norm: 18.9877 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9125 loss: 0.9125 2022/07/30 23:00:03 - mmengine - INFO - Epoch(train) [50][620/2505] lr: 5.0000e-06 eta: 6:01:49 time: 1.0567 data_time: 0.0280 memory: 32703 grad_norm: 18.4712 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9711 loss: 0.9711 2022/07/30 23:00:22 - mmengine - INFO - Epoch(train) [50][640/2505] lr: 5.0000e-06 eta: 6:01:29 time: 0.9473 data_time: 0.0283 memory: 32703 grad_norm: 19.1789 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0532 loss: 1.0532 2022/07/30 23:00:42 - mmengine - INFO - Epoch(train) [50][660/2505] lr: 5.0000e-06 eta: 6:01:09 time: 1.0172 data_time: 0.0276 memory: 32703 grad_norm: 19.3904 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9075 loss: 0.9075 2022/07/30 23:01:01 - mmengine - INFO - Epoch(train) [50][680/2505] lr: 5.0000e-06 eta: 6:00:49 time: 0.9334 data_time: 0.0274 memory: 32703 grad_norm: 17.8690 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8538 loss: 0.8538 2022/07/30 23:01:21 - mmengine - INFO - Epoch(train) [50][700/2505] lr: 5.0000e-06 eta: 6:00:29 time: 0.9972 data_time: 0.0274 memory: 32703 grad_norm: 19.4881 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0092 loss: 1.0092 2022/07/30 23:01:39 - mmengine - INFO - Epoch(train) [50][720/2505] lr: 5.0000e-06 eta: 6:00:09 time: 0.9433 data_time: 0.0288 memory: 32703 grad_norm: 19.5504 top1_acc: 0.3333 top5_acc: 0.5833 loss_cls: 1.1000 loss: 1.1000 2022/07/30 23:02:01 - mmengine - INFO - Epoch(train) [50][740/2505] lr: 5.0000e-06 eta: 5:59:50 time: 1.0518 data_time: 0.0296 memory: 32703 grad_norm: 18.6447 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0129 loss: 1.0129 2022/07/30 23:02:18 - mmengine - INFO - Epoch(train) [50][760/2505] lr: 5.0000e-06 eta: 5:59:29 time: 0.8912 data_time: 0.0302 memory: 32703 grad_norm: 19.5400 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0254 loss: 1.0254 2022/07/30 23:02:39 - mmengine - INFO - Epoch(train) [50][780/2505] lr: 5.0000e-06 eta: 5:59:10 time: 1.0310 data_time: 0.0321 memory: 32703 grad_norm: 18.8804 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1245 loss: 1.1245 2022/07/30 23:02:57 - mmengine - INFO - Epoch(train) [50][800/2505] lr: 5.0000e-06 eta: 5:58:50 time: 0.9017 data_time: 0.0271 memory: 32703 grad_norm: 20.1035 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9040 loss: 0.9040 2022/07/30 23:03:18 - mmengine - INFO - Epoch(train) [50][820/2505] lr: 5.0000e-06 eta: 5:58:30 time: 1.0353 data_time: 0.0322 memory: 32703 grad_norm: 18.8260 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8324 loss: 0.8324 2022/07/30 23:03:35 - mmengine - INFO - Epoch(train) [50][840/2505] lr: 5.0000e-06 eta: 5:58:10 time: 0.8692 data_time: 0.0310 memory: 32703 grad_norm: 18.7167 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0129 loss: 1.0129 2022/07/30 23:03:56 - mmengine - INFO - Epoch(train) [50][860/2505] lr: 5.0000e-06 eta: 5:57:50 time: 1.0242 data_time: 0.0323 memory: 32703 grad_norm: 19.0733 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9857 loss: 0.9857 2022/07/30 23:04:14 - mmengine - INFO - Epoch(train) [50][880/2505] lr: 5.0000e-06 eta: 5:57:30 time: 0.9219 data_time: 0.0309 memory: 32703 grad_norm: 19.6171 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1409 loss: 1.1409 2022/07/30 23:04:35 - mmengine - INFO - Epoch(train) [50][900/2505] lr: 5.0000e-06 eta: 5:57:10 time: 1.0471 data_time: 0.0259 memory: 32703 grad_norm: 19.5158 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1049 loss: 1.1049 2022/07/30 23:04:53 - mmengine - INFO - Epoch(train) [50][920/2505] lr: 5.0000e-06 eta: 5:56:50 time: 0.9022 data_time: 0.0279 memory: 32703 grad_norm: 19.4095 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.8954 loss: 0.8954 2022/07/30 23:05:14 - mmengine - INFO - Epoch(train) [50][940/2505] lr: 5.0000e-06 eta: 5:56:31 time: 1.0488 data_time: 0.0265 memory: 32703 grad_norm: 19.0346 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0344 loss: 1.0344 2022/07/30 23:05:33 - mmengine - INFO - Epoch(train) [50][960/2505] lr: 5.0000e-06 eta: 5:56:11 time: 0.9388 data_time: 0.0266 memory: 32703 grad_norm: 18.5293 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9188 loss: 0.9188 2022/07/30 23:05:53 - mmengine - INFO - Epoch(train) [50][980/2505] lr: 5.0000e-06 eta: 5:55:51 time: 1.0291 data_time: 0.0270 memory: 32703 grad_norm: 18.6058 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9066 loss: 0.9066 2022/07/30 23:06:12 - mmengine - INFO - Epoch(train) [50][1000/2505] lr: 5.0000e-06 eta: 5:55:31 time: 0.9375 data_time: 0.0265 memory: 32703 grad_norm: 18.9911 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8434 loss: 0.8434 2022/07/30 23:06:34 - mmengine - INFO - Epoch(train) [50][1020/2505] lr: 5.0000e-06 eta: 5:55:12 time: 1.0643 data_time: 0.0293 memory: 32703 grad_norm: 19.3672 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9810 loss: 0.9810 2022/07/30 23:06:52 - mmengine - INFO - Epoch(train) [50][1040/2505] lr: 5.0000e-06 eta: 5:54:52 time: 0.9199 data_time: 0.0285 memory: 32703 grad_norm: 18.4338 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0005 loss: 1.0005 2022/07/30 23:07:14 - mmengine - INFO - Epoch(train) [50][1060/2505] lr: 5.0000e-06 eta: 5:54:32 time: 1.0901 data_time: 0.0257 memory: 32703 grad_norm: 19.6134 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0775 loss: 1.0775 2022/07/30 23:07:32 - mmengine - INFO - Epoch(train) [50][1080/2505] lr: 5.0000e-06 eta: 5:54:12 time: 0.8878 data_time: 0.0273 memory: 32703 grad_norm: 19.8410 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1252 loss: 1.1252 2022/07/30 23:07:53 - mmengine - INFO - Epoch(train) [50][1100/2505] lr: 5.0000e-06 eta: 5:53:52 time: 1.0822 data_time: 0.0334 memory: 32703 grad_norm: 19.5419 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0041 loss: 1.0041 2022/07/30 23:08:11 - mmengine - INFO - Epoch(train) [50][1120/2505] lr: 5.0000e-06 eta: 5:53:32 time: 0.9098 data_time: 0.0266 memory: 32703 grad_norm: 18.8486 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8022 loss: 0.8022 2022/07/30 23:08:33 - mmengine - INFO - Epoch(train) [50][1140/2505] lr: 5.0000e-06 eta: 5:53:13 time: 1.0938 data_time: 0.0292 memory: 32703 grad_norm: 19.0405 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9249 loss: 0.9249 2022/07/30 23:08:51 - mmengine - INFO - Epoch(train) [50][1160/2505] lr: 5.0000e-06 eta: 5:52:53 time: 0.8984 data_time: 0.0272 memory: 32703 grad_norm: 19.6172 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9765 loss: 0.9765 2022/07/30 23:09:11 - mmengine - INFO - Epoch(train) [50][1180/2505] lr: 5.0000e-06 eta: 5:52:33 time: 0.9999 data_time: 0.0291 memory: 32703 grad_norm: 19.4182 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9268 loss: 0.9268 2022/07/30 23:09:30 - mmengine - INFO - Epoch(train) [50][1200/2505] lr: 5.0000e-06 eta: 5:52:13 time: 0.9313 data_time: 0.0286 memory: 32703 grad_norm: 18.8734 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9847 loss: 0.9847 2022/07/30 23:09:53 - mmengine - INFO - Epoch(train) [50][1220/2505] lr: 5.0000e-06 eta: 5:51:54 time: 1.1362 data_time: 0.0288 memory: 32703 grad_norm: 19.0759 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9663 loss: 0.9663 2022/07/30 23:10:10 - mmengine - INFO - Epoch(train) [50][1240/2505] lr: 5.0000e-06 eta: 5:51:34 time: 0.8762 data_time: 0.0347 memory: 32703 grad_norm: 19.6817 top1_acc: 0.4167 top5_acc: 0.9167 loss_cls: 0.9898 loss: 0.9898 2022/07/30 23:10:27 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 23:10:32 - mmengine - INFO - Epoch(train) [50][1260/2505] lr: 5.0000e-06 eta: 5:51:14 time: 1.1079 data_time: 0.0290 memory: 32703 grad_norm: 18.2910 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8951 loss: 0.8951 2022/07/30 23:10:51 - mmengine - INFO - Epoch(train) [50][1280/2505] lr: 5.0000e-06 eta: 5:50:54 time: 0.9181 data_time: 0.0258 memory: 32703 grad_norm: 19.1811 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9274 loss: 0.9274 2022/07/30 23:11:12 - mmengine - INFO - Epoch(train) [50][1300/2505] lr: 5.0000e-06 eta: 5:50:35 time: 1.0826 data_time: 0.0274 memory: 32703 grad_norm: 19.2891 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1295 loss: 1.1295 2022/07/30 23:11:30 - mmengine - INFO - Epoch(train) [50][1320/2505] lr: 5.0000e-06 eta: 5:50:14 time: 0.9016 data_time: 0.0282 memory: 32703 grad_norm: 18.8852 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9620 loss: 0.9620 2022/07/30 23:11:51 - mmengine - INFO - Epoch(train) [50][1340/2505] lr: 5.0000e-06 eta: 5:49:55 time: 1.0232 data_time: 0.0300 memory: 32703 grad_norm: 18.9208 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0824 loss: 1.0824 2022/07/30 23:12:09 - mmengine - INFO - Epoch(train) [50][1360/2505] lr: 5.0000e-06 eta: 5:49:35 time: 0.9244 data_time: 0.0285 memory: 32703 grad_norm: 19.6320 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8961 loss: 0.8961 2022/07/30 23:12:29 - mmengine - INFO - Epoch(train) [50][1380/2505] lr: 5.0000e-06 eta: 5:49:15 time: 0.9783 data_time: 0.0278 memory: 32703 grad_norm: 19.2597 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9378 loss: 0.9378 2022/07/30 23:12:47 - mmengine - INFO - Epoch(train) [50][1400/2505] lr: 5.0000e-06 eta: 5:48:55 time: 0.9056 data_time: 0.0284 memory: 32703 grad_norm: 18.4932 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0072 loss: 1.0072 2022/07/30 23:13:08 - mmengine - INFO - Epoch(train) [50][1420/2505] lr: 5.0000e-06 eta: 5:48:35 time: 1.0713 data_time: 0.0265 memory: 32703 grad_norm: 19.2921 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0195 loss: 1.0195 2022/07/30 23:13:25 - mmengine - INFO - Epoch(train) [50][1440/2505] lr: 5.0000e-06 eta: 5:48:15 time: 0.8431 data_time: 0.0260 memory: 32703 grad_norm: 19.3573 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8539 loss: 0.8539 2022/07/30 23:13:47 - mmengine - INFO - Epoch(train) [50][1460/2505] lr: 5.0000e-06 eta: 5:47:56 time: 1.1041 data_time: 0.0267 memory: 32703 grad_norm: 19.7485 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3037 loss: 1.3037 2022/07/30 23:14:05 - mmengine - INFO - Epoch(train) [50][1480/2505] lr: 5.0000e-06 eta: 5:47:35 time: 0.8770 data_time: 0.0271 memory: 32703 grad_norm: 18.4119 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1180 loss: 1.1180 2022/07/30 23:14:30 - mmengine - INFO - Epoch(train) [50][1500/2505] lr: 5.0000e-06 eta: 5:47:16 time: 1.2338 data_time: 0.0338 memory: 32703 grad_norm: 18.7077 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9963 loss: 0.9963 2022/07/30 23:14:43 - mmengine - INFO - Epoch(train) [50][1520/2505] lr: 5.0000e-06 eta: 5:46:56 time: 0.6867 data_time: 0.0265 memory: 32703 grad_norm: 19.2227 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1018 loss: 1.1018 2022/07/30 23:15:04 - mmengine - INFO - Epoch(train) [50][1540/2505] lr: 5.0000e-06 eta: 5:46:36 time: 1.0420 data_time: 0.0292 memory: 32703 grad_norm: 18.7577 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9396 loss: 0.9396 2022/07/30 23:15:23 - mmengine - INFO - Epoch(train) [50][1560/2505] lr: 5.0000e-06 eta: 5:46:16 time: 0.9137 data_time: 0.0285 memory: 32703 grad_norm: 19.1930 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9886 loss: 0.9886 2022/07/30 23:15:44 - mmengine - INFO - Epoch(train) [50][1580/2505] lr: 5.0000e-06 eta: 5:45:56 time: 1.0642 data_time: 0.0272 memory: 32703 grad_norm: 19.0920 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0182 loss: 1.0182 2022/07/30 23:16:02 - mmengine - INFO - Epoch(train) [50][1600/2505] lr: 5.0000e-06 eta: 5:45:36 time: 0.9173 data_time: 0.0346 memory: 32703 grad_norm: 18.7139 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8606 loss: 0.8606 2022/07/30 23:16:24 - mmengine - INFO - Epoch(train) [50][1620/2505] lr: 5.0000e-06 eta: 5:45:17 time: 1.0926 data_time: 0.0268 memory: 32703 grad_norm: 18.2210 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8782 loss: 0.8782 2022/07/30 23:16:42 - mmengine - INFO - Epoch(train) [50][1640/2505] lr: 5.0000e-06 eta: 5:44:57 time: 0.9129 data_time: 0.0325 memory: 32703 grad_norm: 18.5773 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9087 loss: 0.9087 2022/07/30 23:17:04 - mmengine - INFO - Epoch(train) [50][1660/2505] lr: 5.0000e-06 eta: 5:44:37 time: 1.0601 data_time: 0.0317 memory: 32703 grad_norm: 18.8545 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0439 loss: 1.0439 2022/07/30 23:17:22 - mmengine - INFO - Epoch(train) [50][1680/2505] lr: 5.0000e-06 eta: 5:44:17 time: 0.9089 data_time: 0.0332 memory: 32703 grad_norm: 18.9885 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8210 loss: 0.8210 2022/07/30 23:17:43 - mmengine - INFO - Epoch(train) [50][1700/2505] lr: 5.0000e-06 eta: 5:43:58 time: 1.0523 data_time: 0.0302 memory: 32703 grad_norm: 19.2077 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8063 loss: 0.8063 2022/07/30 23:18:01 - mmengine - INFO - Epoch(train) [50][1720/2505] lr: 5.0000e-06 eta: 5:43:38 time: 0.9357 data_time: 0.0321 memory: 32703 grad_norm: 18.9020 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1189 loss: 1.1189 2022/07/30 23:18:23 - mmengine - INFO - Epoch(train) [50][1740/2505] lr: 5.0000e-06 eta: 5:43:18 time: 1.0671 data_time: 0.0276 memory: 32703 grad_norm: 19.3142 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1189 loss: 1.1189 2022/07/30 23:18:41 - mmengine - INFO - Epoch(train) [50][1760/2505] lr: 5.0000e-06 eta: 5:42:58 time: 0.8961 data_time: 0.0324 memory: 32703 grad_norm: 19.0001 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0275 loss: 1.0275 2022/07/30 23:19:02 - mmengine - INFO - Epoch(train) [50][1780/2505] lr: 5.0000e-06 eta: 5:42:38 time: 1.0540 data_time: 0.0316 memory: 32703 grad_norm: 18.6388 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.6863 loss: 0.6863 2022/07/30 23:19:20 - mmengine - INFO - Epoch(train) [50][1800/2505] lr: 5.0000e-06 eta: 5:42:18 time: 0.9226 data_time: 0.0304 memory: 32703 grad_norm: 18.4290 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0655 loss: 1.0655 2022/07/30 23:19:41 - mmengine - INFO - Epoch(train) [50][1820/2505] lr: 5.0000e-06 eta: 5:41:59 time: 1.0434 data_time: 0.0285 memory: 32703 grad_norm: 18.9184 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0026 loss: 1.0026 2022/07/30 23:20:00 - mmengine - INFO - Epoch(train) [50][1840/2505] lr: 5.0000e-06 eta: 5:41:39 time: 0.9315 data_time: 0.0304 memory: 32703 grad_norm: 19.1095 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9943 loss: 0.9943 2022/07/30 23:20:20 - mmengine - INFO - Epoch(train) [50][1860/2505] lr: 5.0000e-06 eta: 5:41:19 time: 1.0285 data_time: 0.0288 memory: 32703 grad_norm: 18.3860 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9007 loss: 0.9007 2022/07/30 23:20:39 - mmengine - INFO - Epoch(train) [50][1880/2505] lr: 5.0000e-06 eta: 5:40:59 time: 0.9262 data_time: 0.0290 memory: 32703 grad_norm: 18.9499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9957 loss: 0.9957 2022/07/30 23:21:00 - mmengine - INFO - Epoch(train) [50][1900/2505] lr: 5.0000e-06 eta: 5:40:39 time: 1.0657 data_time: 0.0277 memory: 32703 grad_norm: 19.5231 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1136 loss: 1.1136 2022/07/30 23:21:19 - mmengine - INFO - Epoch(train) [50][1920/2505] lr: 5.0000e-06 eta: 5:40:19 time: 0.9300 data_time: 0.0282 memory: 32703 grad_norm: 19.3420 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0036 loss: 1.0036 2022/07/30 23:21:40 - mmengine - INFO - Epoch(train) [50][1940/2505] lr: 5.0000e-06 eta: 5:40:00 time: 1.0555 data_time: 0.0261 memory: 32703 grad_norm: 19.9947 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9534 loss: 0.9534 2022/07/30 23:21:58 - mmengine - INFO - Epoch(train) [50][1960/2505] lr: 5.0000e-06 eta: 5:39:40 time: 0.9027 data_time: 0.0296 memory: 32703 grad_norm: 19.2568 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8885 loss: 0.8885 2022/07/30 23:22:19 - mmengine - INFO - Epoch(train) [50][1980/2505] lr: 5.0000e-06 eta: 5:39:20 time: 1.0578 data_time: 0.0264 memory: 32703 grad_norm: 19.0951 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9631 loss: 0.9631 2022/07/30 23:22:36 - mmengine - INFO - Epoch(train) [50][2000/2505] lr: 5.0000e-06 eta: 5:39:00 time: 0.8577 data_time: 0.0282 memory: 32703 grad_norm: 19.0707 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9173 loss: 0.9173 2022/07/30 23:22:59 - mmengine - INFO - Epoch(train) [50][2020/2505] lr: 5.0000e-06 eta: 5:38:41 time: 1.1144 data_time: 0.0269 memory: 32703 grad_norm: 19.1329 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1281 loss: 1.1281 2022/07/30 23:23:17 - mmengine - INFO - Epoch(train) [50][2040/2505] lr: 5.0000e-06 eta: 5:38:20 time: 0.9104 data_time: 0.0246 memory: 32703 grad_norm: 19.6260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0198 loss: 1.0198 2022/07/30 23:23:38 - mmengine - INFO - Epoch(train) [50][2060/2505] lr: 5.0000e-06 eta: 5:38:01 time: 1.0418 data_time: 0.0255 memory: 32703 grad_norm: 19.6260 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0544 loss: 1.0544 2022/07/30 23:23:55 - mmengine - INFO - Epoch(train) [50][2080/2505] lr: 5.0000e-06 eta: 5:37:41 time: 0.8806 data_time: 0.0285 memory: 32703 grad_norm: 19.0302 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8697 loss: 0.8697 2022/07/30 23:24:16 - mmengine - INFO - Epoch(train) [50][2100/2505] lr: 5.0000e-06 eta: 5:37:21 time: 1.0469 data_time: 0.0278 memory: 32703 grad_norm: 19.1690 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0392 loss: 1.0392 2022/07/30 23:24:35 - mmengine - INFO - Epoch(train) [50][2120/2505] lr: 5.0000e-06 eta: 5:37:01 time: 0.9192 data_time: 0.0358 memory: 32703 grad_norm: 19.8915 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0806 loss: 1.0806 2022/07/30 23:24:56 - mmengine - INFO - Epoch(train) [50][2140/2505] lr: 5.0000e-06 eta: 5:36:41 time: 1.0429 data_time: 0.0288 memory: 32703 grad_norm: 19.7723 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9965 loss: 0.9965 2022/07/30 23:25:14 - mmengine - INFO - Epoch(train) [50][2160/2505] lr: 5.0000e-06 eta: 5:36:21 time: 0.9207 data_time: 0.0296 memory: 32703 grad_norm: 18.5639 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.2287 loss: 1.2287 2022/07/30 23:25:36 - mmengine - INFO - Epoch(train) [50][2180/2505] lr: 5.0000e-06 eta: 5:36:02 time: 1.1024 data_time: 0.0284 memory: 32703 grad_norm: 18.4029 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0394 loss: 1.0394 2022/07/30 23:25:54 - mmengine - INFO - Epoch(train) [50][2200/2505] lr: 5.0000e-06 eta: 5:35:42 time: 0.9165 data_time: 0.0330 memory: 32703 grad_norm: 18.9767 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1352 loss: 1.1352 2022/07/30 23:26:16 - mmengine - INFO - Epoch(train) [50][2220/2505] lr: 5.0000e-06 eta: 5:35:22 time: 1.0580 data_time: 0.0310 memory: 32703 grad_norm: 18.8718 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9547 loss: 0.9547 2022/07/30 23:26:34 - mmengine - INFO - Epoch(train) [50][2240/2505] lr: 5.0000e-06 eta: 5:35:02 time: 0.9119 data_time: 0.0295 memory: 32703 grad_norm: 19.6040 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2009 loss: 1.2009 2022/07/30 23:26:48 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 23:26:55 - mmengine - INFO - Epoch(train) [50][2260/2505] lr: 5.0000e-06 eta: 5:34:43 time: 1.0419 data_time: 0.0284 memory: 32703 grad_norm: 18.9727 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1483 loss: 1.1483 2022/07/30 23:27:12 - mmengine - INFO - Epoch(train) [50][2280/2505] lr: 5.0000e-06 eta: 5:34:23 time: 0.8824 data_time: 0.0270 memory: 32703 grad_norm: 19.2646 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9482 loss: 0.9482 2022/07/30 23:27:33 - mmengine - INFO - Epoch(train) [50][2300/2505] lr: 5.0000e-06 eta: 5:34:03 time: 1.0464 data_time: 0.0267 memory: 32703 grad_norm: 19.2403 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0175 loss: 1.0175 2022/07/30 23:27:52 - mmengine - INFO - Epoch(train) [50][2320/2505] lr: 5.0000e-06 eta: 5:33:43 time: 0.9249 data_time: 0.0265 memory: 32703 grad_norm: 19.0032 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9048 loss: 0.9048 2022/07/30 23:28:13 - mmengine - INFO - Epoch(train) [50][2340/2505] lr: 5.0000e-06 eta: 5:33:23 time: 1.0407 data_time: 0.0339 memory: 32703 grad_norm: 18.9836 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7190 loss: 0.7190 2022/07/30 23:28:31 - mmengine - INFO - Epoch(train) [50][2360/2505] lr: 5.0000e-06 eta: 5:33:03 time: 0.8954 data_time: 0.0278 memory: 32703 grad_norm: 18.0159 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0244 loss: 1.0244 2022/07/30 23:28:51 - mmengine - INFO - Epoch(train) [50][2380/2505] lr: 5.0000e-06 eta: 5:32:43 time: 1.0393 data_time: 0.0351 memory: 32703 grad_norm: 18.7944 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0380 loss: 1.0380 2022/07/30 23:29:09 - mmengine - INFO - Epoch(train) [50][2400/2505] lr: 5.0000e-06 eta: 5:32:23 time: 0.9065 data_time: 0.0322 memory: 32703 grad_norm: 18.3783 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7649 loss: 0.7649 2022/07/30 23:29:31 - mmengine - INFO - Epoch(train) [50][2420/2505] lr: 5.0000e-06 eta: 5:32:04 time: 1.0746 data_time: 0.0336 memory: 32703 grad_norm: 18.9764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0633 loss: 1.0633 2022/07/30 23:29:49 - mmengine - INFO - Epoch(train) [50][2440/2505] lr: 5.0000e-06 eta: 5:31:44 time: 0.9162 data_time: 0.0273 memory: 32703 grad_norm: 19.9348 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9287 loss: 0.9287 2022/07/30 23:30:10 - mmengine - INFO - Epoch(train) [50][2460/2505] lr: 5.0000e-06 eta: 5:31:24 time: 1.0372 data_time: 0.0842 memory: 32703 grad_norm: 18.9203 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8554 loss: 0.8554 2022/07/30 23:30:28 - mmengine - INFO - Epoch(train) [50][2480/2505] lr: 5.0000e-06 eta: 5:31:04 time: 0.8879 data_time: 0.1219 memory: 32703 grad_norm: 19.4057 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0872 loss: 1.0872 2022/07/30 23:30:46 - mmengine - INFO - Epoch(train) [50][2500/2505] lr: 5.0000e-06 eta: 5:30:44 time: 0.9015 data_time: 0.1458 memory: 32703 grad_norm: 18.4009 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0561 loss: 1.0561 2022/07/30 23:30:49 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 23:30:49 - mmengine - INFO - Epoch(train) [50][2505/2505] lr: 5.0000e-06 eta: 5:30:44 time: 0.7302 data_time: 0.0819 memory: 32703 grad_norm: 19.1033 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1581 loss: 1.1581 2022/07/30 23:30:49 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/07/30 23:31:17 - mmengine - INFO - Epoch(train) [51][20/2505] lr: 5.0000e-06 eta: 5:30:19 time: 1.3004 data_time: 0.7041 memory: 32703 grad_norm: 18.9581 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8482 loss: 0.8482 2022/07/30 23:31:35 - mmengine - INFO - Epoch(train) [51][40/2505] lr: 5.0000e-06 eta: 5:29:59 time: 0.9078 data_time: 0.3316 memory: 32703 grad_norm: 19.1599 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0874 loss: 1.0874 2022/07/30 23:31:56 - mmengine - INFO - Epoch(train) [51][60/2505] lr: 5.0000e-06 eta: 5:29:40 time: 1.0477 data_time: 0.4541 memory: 32703 grad_norm: 19.1063 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9283 loss: 0.9283 2022/07/30 23:32:15 - mmengine - INFO - Epoch(train) [51][80/2505] lr: 5.0000e-06 eta: 5:29:20 time: 0.9344 data_time: 0.3524 memory: 32703 grad_norm: 19.2353 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7956 loss: 0.7956 2022/07/30 23:32:35 - mmengine - INFO - Epoch(train) [51][100/2505] lr: 5.0000e-06 eta: 5:29:00 time: 1.0235 data_time: 0.4415 memory: 32703 grad_norm: 18.6946 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.9844 loss: 0.9844 2022/07/30 23:32:53 - mmengine - INFO - Epoch(train) [51][120/2505] lr: 5.0000e-06 eta: 5:28:40 time: 0.9111 data_time: 0.3286 memory: 32703 grad_norm: 19.5429 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9346 loss: 0.9346 2022/07/30 23:33:15 - mmengine - INFO - Epoch(train) [51][140/2505] lr: 5.0000e-06 eta: 5:28:20 time: 1.0636 data_time: 0.4625 memory: 32703 grad_norm: 18.7764 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8272 loss: 0.8272 2022/07/30 23:33:33 - mmengine - INFO - Epoch(train) [51][160/2505] lr: 5.0000e-06 eta: 5:28:00 time: 0.9089 data_time: 0.3234 memory: 32703 grad_norm: 18.5173 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8901 loss: 0.8901 2022/07/30 23:33:54 - mmengine - INFO - Epoch(train) [51][180/2505] lr: 5.0000e-06 eta: 5:27:41 time: 1.0518 data_time: 0.4294 memory: 32703 grad_norm: 18.4372 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8960 loss: 0.8960 2022/07/30 23:34:12 - mmengine - INFO - Epoch(train) [51][200/2505] lr: 5.0000e-06 eta: 5:27:21 time: 0.9116 data_time: 0.2820 memory: 32703 grad_norm: 19.2322 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0752 loss: 1.0752 2022/07/30 23:34:34 - mmengine - INFO - Epoch(train) [51][220/2505] lr: 5.0000e-06 eta: 5:27:01 time: 1.1077 data_time: 0.3819 memory: 32703 grad_norm: 19.0311 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0389 loss: 1.0389 2022/07/30 23:34:53 - mmengine - INFO - Epoch(train) [51][240/2505] lr: 5.0000e-06 eta: 5:26:41 time: 0.9408 data_time: 0.2714 memory: 32703 grad_norm: 18.7293 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8495 loss: 0.8495 2022/07/30 23:35:15 - mmengine - INFO - Epoch(train) [51][260/2505] lr: 5.0000e-06 eta: 5:26:22 time: 1.1018 data_time: 0.2515 memory: 32703 grad_norm: 18.7033 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0161 loss: 1.0161 2022/07/30 23:35:34 - mmengine - INFO - Epoch(train) [51][280/2505] lr: 5.0000e-06 eta: 5:26:02 time: 0.9399 data_time: 0.0786 memory: 32703 grad_norm: 19.1940 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9989 loss: 0.9989 2022/07/30 23:35:55 - mmengine - INFO - Epoch(train) [51][300/2505] lr: 5.0000e-06 eta: 5:25:42 time: 1.0570 data_time: 0.0261 memory: 32703 grad_norm: 18.5386 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9137 loss: 0.9137 2022/07/30 23:36:13 - mmengine - INFO - Epoch(train) [51][320/2505] lr: 5.0000e-06 eta: 5:25:22 time: 0.8996 data_time: 0.0263 memory: 32703 grad_norm: 19.2431 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8121 loss: 0.8121 2022/07/30 23:36:34 - mmengine - INFO - Epoch(train) [51][340/2505] lr: 5.0000e-06 eta: 5:25:03 time: 1.0649 data_time: 0.0317 memory: 32703 grad_norm: 20.1028 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7447 loss: 0.7447 2022/07/30 23:36:53 - mmengine - INFO - Epoch(train) [51][360/2505] lr: 5.0000e-06 eta: 5:24:43 time: 0.9356 data_time: 0.0253 memory: 32703 grad_norm: 20.4631 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0570 loss: 1.0570 2022/07/30 23:37:14 - mmengine - INFO - Epoch(train) [51][380/2505] lr: 5.0000e-06 eta: 5:24:23 time: 1.0346 data_time: 0.0251 memory: 32703 grad_norm: 19.0175 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.8756 loss: 0.8756 2022/07/30 23:37:33 - mmengine - INFO - Epoch(train) [51][400/2505] lr: 5.0000e-06 eta: 5:24:03 time: 0.9398 data_time: 0.0306 memory: 32703 grad_norm: 19.8827 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1187 loss: 1.1187 2022/07/30 23:37:53 - mmengine - INFO - Epoch(train) [51][420/2505] lr: 5.0000e-06 eta: 5:23:43 time: 1.0095 data_time: 0.0283 memory: 32703 grad_norm: 19.8242 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9680 loss: 0.9680 2022/07/30 23:38:12 - mmengine - INFO - Epoch(train) [51][440/2505] lr: 5.0000e-06 eta: 5:23:23 time: 0.9456 data_time: 0.0307 memory: 32703 grad_norm: 18.8258 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2945 loss: 1.2945 2022/07/30 23:38:33 - mmengine - INFO - Epoch(train) [51][460/2505] lr: 5.0000e-06 eta: 5:23:04 time: 1.0850 data_time: 0.0265 memory: 32703 grad_norm: 18.6382 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.2137 loss: 1.2137 2022/07/30 23:38:52 - mmengine - INFO - Epoch(train) [51][480/2505] lr: 5.0000e-06 eta: 5:22:44 time: 0.9012 data_time: 0.0266 memory: 32703 grad_norm: 19.3889 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0111 loss: 1.0111 2022/07/30 23:39:13 - mmengine - INFO - Epoch(train) [51][500/2505] lr: 5.0000e-06 eta: 5:22:24 time: 1.0813 data_time: 0.0278 memory: 32703 grad_norm: 19.4623 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9086 loss: 0.9086 2022/07/30 23:39:32 - mmengine - INFO - Epoch(train) [51][520/2505] lr: 5.0000e-06 eta: 5:22:04 time: 0.9220 data_time: 0.0276 memory: 32703 grad_norm: 19.6374 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9519 loss: 0.9519 2022/07/30 23:39:53 - mmengine - INFO - Epoch(train) [51][540/2505] lr: 5.0000e-06 eta: 5:21:45 time: 1.0574 data_time: 0.0277 memory: 32703 grad_norm: 19.2619 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7949 loss: 0.7949 2022/07/30 23:40:11 - mmengine - INFO - Epoch(train) [51][560/2505] lr: 5.0000e-06 eta: 5:21:25 time: 0.8896 data_time: 0.0308 memory: 32703 grad_norm: 19.2395 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2681 loss: 1.2681 2022/07/30 23:40:32 - mmengine - INFO - Epoch(train) [51][580/2505] lr: 5.0000e-06 eta: 5:21:05 time: 1.0805 data_time: 0.0272 memory: 32703 grad_norm: 18.5568 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1532 loss: 1.1532 2022/07/30 23:40:50 - mmengine - INFO - Epoch(train) [51][600/2505] lr: 5.0000e-06 eta: 5:20:45 time: 0.8675 data_time: 0.0314 memory: 32703 grad_norm: 18.4055 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8891 loss: 0.8891 2022/07/30 23:41:11 - mmengine - INFO - Epoch(train) [51][620/2505] lr: 5.0000e-06 eta: 5:20:25 time: 1.0506 data_time: 0.0299 memory: 32703 grad_norm: 18.7800 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1546 loss: 1.1546 2022/07/30 23:41:28 - mmengine - INFO - Epoch(train) [51][640/2505] lr: 5.0000e-06 eta: 5:20:05 time: 0.8783 data_time: 0.0302 memory: 32703 grad_norm: 18.7796 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0340 loss: 1.0340 2022/07/30 23:41:50 - mmengine - INFO - Epoch(train) [51][660/2505] lr: 5.0000e-06 eta: 5:19:46 time: 1.0703 data_time: 0.0311 memory: 32703 grad_norm: 19.2405 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8803 loss: 0.8803 2022/07/30 23:42:07 - mmengine - INFO - Epoch(train) [51][680/2505] lr: 5.0000e-06 eta: 5:19:26 time: 0.8962 data_time: 0.0272 memory: 32703 grad_norm: 19.9994 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9561 loss: 0.9561 2022/07/30 23:42:29 - mmengine - INFO - Epoch(train) [51][700/2505] lr: 5.0000e-06 eta: 5:19:06 time: 1.0609 data_time: 0.0272 memory: 32703 grad_norm: 18.4517 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.9273 loss: 0.9273 2022/07/30 23:42:46 - mmengine - INFO - Epoch(train) [51][720/2505] lr: 5.0000e-06 eta: 5:18:46 time: 0.8589 data_time: 0.0305 memory: 32703 grad_norm: 19.8220 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9997 loss: 0.9997 2022/07/30 23:43:07 - mmengine - INFO - Epoch(train) [51][740/2505] lr: 5.0000e-06 eta: 5:18:26 time: 1.0304 data_time: 0.0284 memory: 32703 grad_norm: 18.6260 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9300 loss: 0.9300 2022/07/30 23:43:16 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 23:43:25 - mmengine - INFO - Epoch(train) [51][760/2505] lr: 5.0000e-06 eta: 5:18:06 time: 0.9204 data_time: 0.0337 memory: 32703 grad_norm: 19.2079 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1879 loss: 1.1879 2022/07/30 23:43:46 - mmengine - INFO - Epoch(train) [51][780/2505] lr: 5.0000e-06 eta: 5:17:46 time: 1.0378 data_time: 0.0280 memory: 32703 grad_norm: 18.8916 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8673 loss: 0.8673 2022/07/30 23:44:04 - mmengine - INFO - Epoch(train) [51][800/2505] lr: 5.0000e-06 eta: 5:17:26 time: 0.9278 data_time: 0.0286 memory: 32703 grad_norm: 18.6712 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0344 loss: 1.0344 2022/07/30 23:44:25 - mmengine - INFO - Epoch(train) [51][820/2505] lr: 5.0000e-06 eta: 5:17:07 time: 1.0549 data_time: 0.0256 memory: 32703 grad_norm: 19.2662 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9861 loss: 0.9861 2022/07/30 23:44:43 - mmengine - INFO - Epoch(train) [51][840/2505] lr: 5.0000e-06 eta: 5:16:47 time: 0.8821 data_time: 0.0306 memory: 32703 grad_norm: 18.5694 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1912 loss: 1.1912 2022/07/30 23:45:05 - mmengine - INFO - Epoch(train) [51][860/2505] lr: 5.0000e-06 eta: 5:16:27 time: 1.1098 data_time: 0.0284 memory: 32703 grad_norm: 18.9635 top1_acc: 0.3333 top5_acc: 0.7500 loss_cls: 0.9967 loss: 0.9967 2022/07/30 23:45:24 - mmengine - INFO - Epoch(train) [51][880/2505] lr: 5.0000e-06 eta: 5:16:07 time: 0.9227 data_time: 0.0307 memory: 32703 grad_norm: 19.4389 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0498 loss: 1.0498 2022/07/30 23:45:45 - mmengine - INFO - Epoch(train) [51][900/2505] lr: 5.0000e-06 eta: 5:15:48 time: 1.0531 data_time: 0.0298 memory: 32703 grad_norm: 19.6785 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9958 loss: 0.9958 2022/07/30 23:46:03 - mmengine - INFO - Epoch(train) [51][920/2505] lr: 5.0000e-06 eta: 5:15:28 time: 0.9275 data_time: 0.0315 memory: 32703 grad_norm: 19.3164 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1763 loss: 1.1763 2022/07/30 23:46:24 - mmengine - INFO - Epoch(train) [51][940/2505] lr: 5.0000e-06 eta: 5:15:08 time: 1.0149 data_time: 0.0304 memory: 32703 grad_norm: 19.1306 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9455 loss: 0.9455 2022/07/30 23:46:42 - mmengine - INFO - Epoch(train) [51][960/2505] lr: 5.0000e-06 eta: 5:14:48 time: 0.9178 data_time: 0.0299 memory: 32703 grad_norm: 19.5703 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.2057 loss: 1.2057 2022/07/30 23:47:03 - mmengine - INFO - Epoch(train) [51][980/2505] lr: 5.0000e-06 eta: 5:14:28 time: 1.0323 data_time: 0.0312 memory: 32703 grad_norm: 18.6800 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8949 loss: 0.8949 2022/07/30 23:47:21 - mmengine - INFO - Epoch(train) [51][1000/2505] lr: 5.0000e-06 eta: 5:14:08 time: 0.9435 data_time: 0.0274 memory: 32703 grad_norm: 19.4862 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0649 loss: 1.0649 2022/07/30 23:47:41 - mmengine - INFO - Epoch(train) [51][1020/2505] lr: 5.0000e-06 eta: 5:13:49 time: 0.9854 data_time: 0.0259 memory: 32703 grad_norm: 19.8567 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9030 loss: 0.9030 2022/07/30 23:48:00 - mmengine - INFO - Epoch(train) [51][1040/2505] lr: 5.0000e-06 eta: 5:13:29 time: 0.9360 data_time: 0.0306 memory: 32703 grad_norm: 19.4696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8059 loss: 0.8059 2022/07/30 23:48:20 - mmengine - INFO - Epoch(train) [51][1060/2505] lr: 5.0000e-06 eta: 5:13:09 time: 0.9824 data_time: 0.0258 memory: 32703 grad_norm: 18.6912 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9417 loss: 0.9417 2022/07/30 23:48:39 - mmengine - INFO - Epoch(train) [51][1080/2505] lr: 5.0000e-06 eta: 5:12:49 time: 0.9900 data_time: 0.0282 memory: 32703 grad_norm: 19.0026 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0240 loss: 1.0240 2022/07/30 23:48:58 - mmengine - INFO - Epoch(train) [51][1100/2505] lr: 5.0000e-06 eta: 5:12:29 time: 0.9397 data_time: 0.0272 memory: 32703 grad_norm: 19.1743 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9675 loss: 0.9675 2022/07/30 23:49:18 - mmengine - INFO - Epoch(train) [51][1120/2505] lr: 5.0000e-06 eta: 5:12:09 time: 0.9751 data_time: 0.0281 memory: 32703 grad_norm: 18.9757 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9288 loss: 0.9288 2022/07/30 23:49:37 - mmengine - INFO - Epoch(train) [51][1140/2505] lr: 5.0000e-06 eta: 5:11:49 time: 0.9671 data_time: 0.0297 memory: 32703 grad_norm: 19.7640 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1618 loss: 1.1618 2022/07/30 23:49:57 - mmengine - INFO - Epoch(train) [51][1160/2505] lr: 5.0000e-06 eta: 5:11:29 time: 0.9848 data_time: 0.0286 memory: 32703 grad_norm: 18.6324 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0475 loss: 1.0475 2022/07/30 23:50:17 - mmengine - INFO - Epoch(train) [51][1180/2505] lr: 5.0000e-06 eta: 5:11:10 time: 1.0012 data_time: 0.0271 memory: 32703 grad_norm: 19.0065 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8035 loss: 0.8035 2022/07/30 23:50:35 - mmengine - INFO - Epoch(train) [51][1200/2505] lr: 5.0000e-06 eta: 5:10:50 time: 0.9099 data_time: 0.0259 memory: 32703 grad_norm: 19.1395 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.8635 loss: 0.8635 2022/07/30 23:50:56 - mmengine - INFO - Epoch(train) [51][1220/2505] lr: 5.0000e-06 eta: 5:10:30 time: 1.0632 data_time: 0.0262 memory: 32703 grad_norm: 18.8613 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8935 loss: 0.8935 2022/07/30 23:51:15 - mmengine - INFO - Epoch(train) [51][1240/2505] lr: 5.0000e-06 eta: 5:10:10 time: 0.9568 data_time: 0.0292 memory: 32703 grad_norm: 18.8762 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9338 loss: 0.9338 2022/07/30 23:51:36 - mmengine - INFO - Epoch(train) [51][1260/2505] lr: 5.0000e-06 eta: 5:09:50 time: 1.0156 data_time: 0.0263 memory: 32703 grad_norm: 19.3041 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9519 loss: 0.9519 2022/07/30 23:51:54 - mmengine - INFO - Epoch(train) [51][1280/2505] lr: 5.0000e-06 eta: 5:09:30 time: 0.9152 data_time: 0.0259 memory: 32703 grad_norm: 18.8846 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9397 loss: 0.9397 2022/07/30 23:52:15 - mmengine - INFO - Epoch(train) [51][1300/2505] lr: 5.0000e-06 eta: 5:09:11 time: 1.0373 data_time: 0.0270 memory: 32703 grad_norm: 19.2106 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9062 loss: 0.9062 2022/07/30 23:52:33 - mmengine - INFO - Epoch(train) [51][1320/2505] lr: 5.0000e-06 eta: 5:08:51 time: 0.9047 data_time: 0.0275 memory: 32703 grad_norm: 18.9831 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9679 loss: 0.9679 2022/07/30 23:52:54 - mmengine - INFO - Epoch(train) [51][1340/2505] lr: 5.0000e-06 eta: 5:08:31 time: 1.0752 data_time: 0.0282 memory: 32703 grad_norm: 20.0154 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8773 loss: 0.8773 2022/07/30 23:53:13 - mmengine - INFO - Epoch(train) [51][1360/2505] lr: 5.0000e-06 eta: 5:08:11 time: 0.9512 data_time: 0.0278 memory: 32703 grad_norm: 18.5422 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8123 loss: 0.8123 2022/07/30 23:53:35 - mmengine - INFO - Epoch(train) [51][1380/2505] lr: 5.0000e-06 eta: 5:07:52 time: 1.0571 data_time: 0.0283 memory: 32703 grad_norm: 18.6596 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9594 loss: 0.9594 2022/07/30 23:53:53 - mmengine - INFO - Epoch(train) [51][1400/2505] lr: 5.0000e-06 eta: 5:07:32 time: 0.9046 data_time: 0.0287 memory: 32703 grad_norm: 19.2516 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0396 loss: 1.0396 2022/07/30 23:54:14 - mmengine - INFO - Epoch(train) [51][1420/2505] lr: 5.0000e-06 eta: 5:07:12 time: 1.0384 data_time: 0.0266 memory: 32703 grad_norm: 19.2310 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1498 loss: 1.1498 2022/07/30 23:54:32 - mmengine - INFO - Epoch(train) [51][1440/2505] lr: 5.0000e-06 eta: 5:06:52 time: 0.9092 data_time: 0.0292 memory: 32703 grad_norm: 18.9432 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9958 loss: 0.9958 2022/07/30 23:54:53 - mmengine - INFO - Epoch(train) [51][1460/2505] lr: 5.0000e-06 eta: 5:06:32 time: 1.0710 data_time: 0.0282 memory: 32703 grad_norm: 19.7574 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8216 loss: 0.8216 2022/07/30 23:55:11 - mmengine - INFO - Epoch(train) [51][1480/2505] lr: 5.0000e-06 eta: 5:06:12 time: 0.9058 data_time: 0.0282 memory: 32703 grad_norm: 18.6683 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9964 loss: 0.9964 2022/07/30 23:55:33 - mmengine - INFO - Epoch(train) [51][1500/2505] lr: 5.0000e-06 eta: 5:05:53 time: 1.0681 data_time: 0.0270 memory: 32703 grad_norm: 18.0945 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9441 loss: 0.9441 2022/07/30 23:55:52 - mmengine - INFO - Epoch(train) [51][1520/2505] lr: 5.0000e-06 eta: 5:05:33 time: 0.9450 data_time: 0.0503 memory: 32703 grad_norm: 18.1549 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9136 loss: 0.9136 2022/07/30 23:56:13 - mmengine - INFO - Epoch(train) [51][1540/2505] lr: 5.0000e-06 eta: 5:05:13 time: 1.0528 data_time: 0.0265 memory: 32703 grad_norm: 19.3338 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.6877 loss: 0.6877 2022/07/30 23:56:30 - mmengine - INFO - Epoch(train) [51][1560/2505] lr: 5.0000e-06 eta: 5:04:53 time: 0.8468 data_time: 0.0288 memory: 32703 grad_norm: 18.5767 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8961 loss: 0.8961 2022/07/30 23:56:51 - mmengine - INFO - Epoch(train) [51][1580/2505] lr: 5.0000e-06 eta: 5:04:33 time: 1.0812 data_time: 0.0298 memory: 32703 grad_norm: 19.7536 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0100 loss: 1.0100 2022/07/30 23:57:09 - mmengine - INFO - Epoch(train) [51][1600/2505] lr: 5.0000e-06 eta: 5:04:13 time: 0.8934 data_time: 0.0258 memory: 32703 grad_norm: 18.5836 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0178 loss: 1.0178 2022/07/30 23:57:30 - mmengine - INFO - Epoch(train) [51][1620/2505] lr: 5.0000e-06 eta: 5:03:54 time: 1.0547 data_time: 0.0350 memory: 32703 grad_norm: 19.1739 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9005 loss: 0.9005 2022/07/30 23:57:48 - mmengine - INFO - Epoch(train) [51][1640/2505] lr: 5.0000e-06 eta: 5:03:34 time: 0.8922 data_time: 0.0269 memory: 32703 grad_norm: 19.0854 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0167 loss: 1.0167 2022/07/30 23:58:09 - mmengine - INFO - Epoch(train) [51][1660/2505] lr: 5.0000e-06 eta: 5:03:14 time: 1.0489 data_time: 0.0276 memory: 32703 grad_norm: 20.0512 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9975 loss: 0.9975 2022/07/30 23:58:27 - mmengine - INFO - Epoch(train) [51][1680/2505] lr: 5.0000e-06 eta: 5:02:54 time: 0.8957 data_time: 0.0317 memory: 32703 grad_norm: 19.2082 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1491 loss: 1.1491 2022/07/30 23:58:47 - mmengine - INFO - Epoch(train) [51][1700/2505] lr: 5.0000e-06 eta: 5:02:34 time: 0.9884 data_time: 0.0276 memory: 32703 grad_norm: 18.2343 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7761 loss: 0.7761 2022/07/30 23:59:05 - mmengine - INFO - Epoch(train) [51][1720/2505] lr: 5.0000e-06 eta: 5:02:14 time: 0.9200 data_time: 0.0294 memory: 32703 grad_norm: 19.4868 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8795 loss: 0.8795 2022/07/30 23:59:26 - mmengine - INFO - Epoch(train) [51][1740/2505] lr: 5.0000e-06 eta: 5:01:55 time: 1.0694 data_time: 0.0297 memory: 32703 grad_norm: 17.9370 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0458 loss: 1.0458 2022/07/30 23:59:36 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/30 23:59:44 - mmengine - INFO - Epoch(train) [51][1760/2505] lr: 5.0000e-06 eta: 5:01:35 time: 0.8902 data_time: 0.0288 memory: 32703 grad_norm: 18.4440 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9511 loss: 0.9511 2022/07/31 00:00:07 - mmengine - INFO - Epoch(train) [51][1780/2505] lr: 5.0000e-06 eta: 5:01:15 time: 1.1340 data_time: 0.0344 memory: 32703 grad_norm: 18.8372 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0595 loss: 1.0595 2022/07/31 00:00:26 - mmengine - INFO - Epoch(train) [51][1800/2505] lr: 5.0000e-06 eta: 5:00:55 time: 0.9582 data_time: 0.0283 memory: 32703 grad_norm: 19.2931 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.2392 loss: 1.2392 2022/07/31 00:00:46 - mmengine - INFO - Epoch(train) [51][1820/2505] lr: 5.0000e-06 eta: 5:00:35 time: 0.9934 data_time: 0.0264 memory: 32703 grad_norm: 19.2933 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9070 loss: 0.9070 2022/07/31 00:01:05 - mmengine - INFO - Epoch(train) [51][1840/2505] lr: 5.0000e-06 eta: 5:00:16 time: 0.9524 data_time: 0.0275 memory: 32703 grad_norm: 19.3863 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8093 loss: 0.8093 2022/07/31 00:01:26 - mmengine - INFO - Epoch(train) [51][1860/2505] lr: 5.0000e-06 eta: 4:59:56 time: 1.0559 data_time: 0.0301 memory: 32703 grad_norm: 19.5747 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2715 loss: 1.2715 2022/07/31 00:01:45 - mmengine - INFO - Epoch(train) [51][1880/2505] lr: 5.0000e-06 eta: 4:59:36 time: 0.9373 data_time: 0.0276 memory: 32703 grad_norm: 19.0580 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9041 loss: 0.9041 2022/07/31 00:02:05 - mmengine - INFO - Epoch(train) [51][1900/2505] lr: 5.0000e-06 eta: 4:59:16 time: 1.0168 data_time: 0.0287 memory: 32703 grad_norm: 18.5549 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9703 loss: 0.9703 2022/07/31 00:02:23 - mmengine - INFO - Epoch(train) [51][1920/2505] lr: 5.0000e-06 eta: 4:58:56 time: 0.8983 data_time: 0.0265 memory: 32703 grad_norm: 18.1296 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9419 loss: 0.9419 2022/07/31 00:02:44 - mmengine - INFO - Epoch(train) [51][1940/2505] lr: 5.0000e-06 eta: 4:58:37 time: 1.0306 data_time: 0.0293 memory: 32703 grad_norm: 19.1062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0783 loss: 1.0783 2022/07/31 00:03:03 - mmengine - INFO - Epoch(train) [51][1960/2505] lr: 5.0000e-06 eta: 4:58:17 time: 0.9496 data_time: 0.0270 memory: 32703 grad_norm: 19.9104 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9953 loss: 0.9953 2022/07/31 00:03:24 - mmengine - INFO - Epoch(train) [51][1980/2505] lr: 5.0000e-06 eta: 4:57:57 time: 1.0596 data_time: 0.0285 memory: 32703 grad_norm: 18.4664 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9119 loss: 0.9119 2022/07/31 00:03:42 - mmengine - INFO - Epoch(train) [51][2000/2505] lr: 5.0000e-06 eta: 4:57:37 time: 0.9179 data_time: 0.0299 memory: 32703 grad_norm: 18.5072 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.6103 loss: 0.6103 2022/07/31 00:04:04 - mmengine - INFO - Epoch(train) [51][2020/2505] lr: 5.0000e-06 eta: 4:57:18 time: 1.0845 data_time: 0.0269 memory: 32703 grad_norm: 18.6462 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 0.9747 loss: 0.9747 2022/07/31 00:04:22 - mmengine - INFO - Epoch(train) [51][2040/2505] lr: 5.0000e-06 eta: 4:56:57 time: 0.9061 data_time: 0.0300 memory: 32703 grad_norm: 18.8912 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8876 loss: 0.8876 2022/07/31 00:04:43 - mmengine - INFO - Epoch(train) [51][2060/2505] lr: 5.0000e-06 eta: 4:56:38 time: 1.0116 data_time: 0.0291 memory: 32703 grad_norm: 19.1903 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9201 loss: 0.9201 2022/07/31 00:05:00 - mmengine - INFO - Epoch(train) [51][2080/2505] lr: 5.0000e-06 eta: 4:56:18 time: 0.8699 data_time: 0.0261 memory: 32703 grad_norm: 19.1838 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8558 loss: 0.8558 2022/07/31 00:05:22 - mmengine - INFO - Epoch(train) [51][2100/2505] lr: 5.0000e-06 eta: 4:55:58 time: 1.0912 data_time: 0.0275 memory: 32703 grad_norm: 18.5797 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8166 loss: 0.8166 2022/07/31 00:05:40 - mmengine - INFO - Epoch(train) [51][2120/2505] lr: 5.0000e-06 eta: 4:55:38 time: 0.9027 data_time: 0.0271 memory: 32703 grad_norm: 19.2200 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9591 loss: 0.9591 2022/07/31 00:06:01 - mmengine - INFO - Epoch(train) [51][2140/2505] lr: 5.0000e-06 eta: 4:55:18 time: 1.0654 data_time: 0.0255 memory: 32703 grad_norm: 19.4983 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.9875 loss: 0.9875 2022/07/31 00:06:19 - mmengine - INFO - Epoch(train) [51][2160/2505] lr: 5.0000e-06 eta: 4:54:58 time: 0.9075 data_time: 0.0283 memory: 32703 grad_norm: 18.6424 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9409 loss: 0.9409 2022/07/31 00:06:42 - mmengine - INFO - Epoch(train) [51][2180/2505] lr: 5.0000e-06 eta: 4:54:39 time: 1.1394 data_time: 0.0300 memory: 32703 grad_norm: 19.0301 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0894 loss: 1.0894 2022/07/31 00:06:59 - mmengine - INFO - Epoch(train) [51][2200/2505] lr: 5.0000e-06 eta: 4:54:19 time: 0.8248 data_time: 0.0259 memory: 32703 grad_norm: 18.9573 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8670 loss: 0.8670 2022/07/31 00:07:20 - mmengine - INFO - Epoch(train) [51][2220/2505] lr: 5.0000e-06 eta: 4:53:59 time: 1.0532 data_time: 0.0274 memory: 32703 grad_norm: 20.1000 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1062 loss: 1.1062 2022/07/31 00:07:37 - mmengine - INFO - Epoch(train) [51][2240/2505] lr: 5.0000e-06 eta: 4:53:39 time: 0.8490 data_time: 0.0362 memory: 32703 grad_norm: 19.0905 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0548 loss: 1.0548 2022/07/31 00:07:59 - mmengine - INFO - Epoch(train) [51][2260/2505] lr: 5.0000e-06 eta: 4:53:19 time: 1.0949 data_time: 0.0286 memory: 32703 grad_norm: 19.4348 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.2008 loss: 1.2008 2022/07/31 00:08:17 - mmengine - INFO - Epoch(train) [51][2280/2505] lr: 5.0000e-06 eta: 4:52:59 time: 0.9005 data_time: 0.0298 memory: 32703 grad_norm: 18.9347 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0216 loss: 1.0216 2022/07/31 00:08:37 - mmengine - INFO - Epoch(train) [51][2300/2505] lr: 5.0000e-06 eta: 4:52:40 time: 1.0243 data_time: 0.0337 memory: 32703 grad_norm: 18.2422 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8663 loss: 0.8663 2022/07/31 00:08:56 - mmengine - INFO - Epoch(train) [51][2320/2505] lr: 5.0000e-06 eta: 4:52:20 time: 0.9173 data_time: 0.0281 memory: 32703 grad_norm: 18.5518 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9710 loss: 0.9710 2022/07/31 00:09:17 - mmengine - INFO - Epoch(train) [51][2340/2505] lr: 5.0000e-06 eta: 4:52:00 time: 1.0576 data_time: 0.0373 memory: 32703 grad_norm: 19.1398 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0881 loss: 1.0881 2022/07/31 00:09:35 - mmengine - INFO - Epoch(train) [51][2360/2505] lr: 5.0000e-06 eta: 4:51:40 time: 0.9284 data_time: 0.0266 memory: 32703 grad_norm: 20.3275 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8821 loss: 0.8821 2022/07/31 00:09:56 - mmengine - INFO - Epoch(train) [51][2380/2505] lr: 5.0000e-06 eta: 4:51:21 time: 1.0485 data_time: 0.0345 memory: 32703 grad_norm: 19.4627 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9780 loss: 0.9780 2022/07/31 00:10:15 - mmengine - INFO - Epoch(train) [51][2400/2505] lr: 5.0000e-06 eta: 4:51:01 time: 0.9528 data_time: 0.0275 memory: 32703 grad_norm: 18.6324 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9588 loss: 0.9588 2022/07/31 00:10:38 - mmengine - INFO - Epoch(train) [51][2420/2505] lr: 5.0000e-06 eta: 4:50:41 time: 1.1290 data_time: 0.0369 memory: 32703 grad_norm: 18.8319 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0630 loss: 1.0630 2022/07/31 00:10:56 - mmengine - INFO - Epoch(train) [51][2440/2505] lr: 5.0000e-06 eta: 4:50:21 time: 0.8853 data_time: 0.0271 memory: 32703 grad_norm: 19.5451 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8347 loss: 0.8347 2022/07/31 00:11:16 - mmengine - INFO - Epoch(train) [51][2460/2505] lr: 5.0000e-06 eta: 4:50:01 time: 1.0373 data_time: 0.0275 memory: 32703 grad_norm: 20.1587 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9588 loss: 0.9588 2022/07/31 00:11:34 - mmengine - INFO - Epoch(train) [51][2480/2505] lr: 5.0000e-06 eta: 4:49:41 time: 0.9041 data_time: 0.0303 memory: 32703 grad_norm: 19.2789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9078 loss: 0.9078 2022/07/31 00:11:53 - mmengine - INFO - Epoch(train) [51][2500/2505] lr: 5.0000e-06 eta: 4:49:21 time: 0.9257 data_time: 0.0331 memory: 32703 grad_norm: 19.4098 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9777 loss: 0.9777 2022/07/31 00:11:56 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 00:11:56 - mmengine - INFO - Epoch(train) [51][2505/2505] lr: 5.0000e-06 eta: 4:49:21 time: 0.7228 data_time: 0.0210 memory: 32703 grad_norm: 19.8311 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9966 loss: 0.9966 2022/07/31 00:11:58 - mmengine - INFO - Epoch(val) [51][20/2475] eta: 0:04:38 time: 0.1133 data_time: 0.0868 memory: 817 2022/07/31 00:11:59 - mmengine - INFO - Epoch(val) [51][40/2475] eta: 0:02:34 time: 0.0635 data_time: 0.0352 memory: 817 2022/07/31 00:12:01 - mmengine - INFO - Epoch(val) [51][60/2475] eta: 0:03:49 time: 0.0951 data_time: 0.0662 memory: 817 2022/07/31 00:12:03 - mmengine - INFO - Epoch(val) [51][80/2475] eta: 0:02:51 time: 0.0716 data_time: 0.0434 memory: 817 2022/07/31 00:12:04 - mmengine - INFO - Epoch(val) [51][100/2475] eta: 0:03:33 time: 0.0899 data_time: 0.0615 memory: 817 2022/07/31 00:12:06 - mmengine - INFO - Epoch(val) [51][120/2475] eta: 0:02:33 time: 0.0652 data_time: 0.0387 memory: 817 2022/07/31 00:12:07 - mmengine - INFO - Epoch(val) [51][140/2475] eta: 0:03:16 time: 0.0839 data_time: 0.0578 memory: 817 2022/07/31 00:12:09 - mmengine - INFO - Epoch(val) [51][160/2475] eta: 0:02:44 time: 0.0711 data_time: 0.0421 memory: 817 2022/07/31 00:12:11 - mmengine - INFO - Epoch(val) [51][180/2475] eta: 0:03:37 time: 0.0946 data_time: 0.0674 memory: 817 2022/07/31 00:12:12 - mmengine - INFO - Epoch(val) [51][200/2475] eta: 0:02:58 time: 0.0784 data_time: 0.0507 memory: 817 2022/07/31 00:12:14 - mmengine - INFO - Epoch(val) [51][220/2475] eta: 0:03:13 time: 0.0857 data_time: 0.0570 memory: 817 2022/07/31 00:12:16 - mmengine - INFO - Epoch(val) [51][240/2475] eta: 0:02:51 time: 0.0767 data_time: 0.0471 memory: 817 2022/07/31 00:12:17 - mmengine - INFO - Epoch(val) [51][260/2475] eta: 0:02:54 time: 0.0787 data_time: 0.0512 memory: 817 2022/07/31 00:12:19 - mmengine - INFO - Epoch(val) [51][280/2475] eta: 0:02:44 time: 0.0748 data_time: 0.0451 memory: 817 2022/07/31 00:12:20 - mmengine - INFO - Epoch(val) [51][300/2475] eta: 0:02:51 time: 0.0789 data_time: 0.0500 memory: 817 2022/07/31 00:12:22 - mmengine - INFO - Epoch(val) [51][320/2475] eta: 0:02:32 time: 0.0708 data_time: 0.0435 memory: 817 2022/07/31 00:12:23 - mmengine - INFO - Epoch(val) [51][340/2475] eta: 0:02:49 time: 0.0796 data_time: 0.0525 memory: 817 2022/07/31 00:12:25 - mmengine - INFO - Epoch(val) [51][360/2475] eta: 0:02:54 time: 0.0826 data_time: 0.0556 memory: 817 2022/07/31 00:12:26 - mmengine - INFO - Epoch(val) [51][380/2475] eta: 0:02:47 time: 0.0797 data_time: 0.0527 memory: 817 2022/07/31 00:12:28 - mmengine - INFO - Epoch(val) [51][400/2475] eta: 0:02:41 time: 0.0777 data_time: 0.0509 memory: 817 2022/07/31 00:12:30 - mmengine - INFO - Epoch(val) [51][420/2475] eta: 0:02:48 time: 0.0818 data_time: 0.0519 memory: 817 2022/07/31 00:12:32 - mmengine - INFO - Epoch(val) [51][440/2475] eta: 0:03:02 time: 0.0897 data_time: 0.0582 memory: 817 2022/07/31 00:12:33 - mmengine - INFO - Epoch(val) [51][460/2475] eta: 0:02:13 time: 0.0663 data_time: 0.0400 memory: 817 2022/07/31 00:12:35 - mmengine - INFO - Epoch(val) [51][480/2475] eta: 0:02:51 time: 0.0858 data_time: 0.0582 memory: 817 2022/07/31 00:12:36 - mmengine - INFO - Epoch(val) [51][500/2475] eta: 0:02:10 time: 0.0659 data_time: 0.0368 memory: 817 2022/07/31 00:12:38 - mmengine - INFO - Epoch(val) [51][520/2475] eta: 0:02:53 time: 0.0885 data_time: 0.0603 memory: 817 2022/07/31 00:12:39 - mmengine - INFO - Epoch(val) [51][540/2475] eta: 0:02:49 time: 0.0876 data_time: 0.0597 memory: 817 2022/07/31 00:12:41 - mmengine - INFO - Epoch(val) [51][560/2475] eta: 0:02:33 time: 0.0800 data_time: 0.0517 memory: 817 2022/07/31 00:12:43 - mmengine - INFO - Epoch(val) [51][580/2475] eta: 0:02:38 time: 0.0837 data_time: 0.0555 memory: 817 2022/07/31 00:12:44 - mmengine - INFO - Epoch(val) [51][600/2475] eta: 0:02:49 time: 0.0903 data_time: 0.0636 memory: 817 2022/07/31 00:12:46 - mmengine - INFO - Epoch(val) [51][620/2475] eta: 0:02:23 time: 0.0772 data_time: 0.0504 memory: 817 2022/07/31 00:12:48 - mmengine - INFO - Epoch(val) [51][640/2475] eta: 0:02:45 time: 0.0899 data_time: 0.0628 memory: 817 2022/07/31 00:12:49 - mmengine - INFO - Epoch(val) [51][660/2475] eta: 0:02:01 time: 0.0671 data_time: 0.0415 memory: 817 2022/07/31 00:12:51 - mmengine - INFO - Epoch(val) [51][680/2475] eta: 0:02:33 time: 0.0854 data_time: 0.0593 memory: 817 2022/07/31 00:12:52 - mmengine - INFO - Epoch(val) [51][700/2475] eta: 0:02:23 time: 0.0807 data_time: 0.0529 memory: 817 2022/07/31 00:12:54 - mmengine - INFO - Epoch(val) [51][720/2475] eta: 0:02:24 time: 0.0821 data_time: 0.0557 memory: 817 2022/07/31 00:12:56 - mmengine - INFO - Epoch(val) [51][740/2475] eta: 0:02:41 time: 0.0930 data_time: 0.0648 memory: 817 2022/07/31 00:12:57 - mmengine - INFO - Epoch(val) [51][760/2475] eta: 0:02:03 time: 0.0719 data_time: 0.0431 memory: 817 2022/07/31 00:12:59 - mmengine - INFO - Epoch(val) [51][780/2475] eta: 0:02:29 time: 0.0880 data_time: 0.0591 memory: 817 2022/07/31 00:13:00 - mmengine - INFO - Epoch(val) [51][800/2475] eta: 0:01:44 time: 0.0621 data_time: 0.0323 memory: 817 2022/07/31 00:13:02 - mmengine - INFO - Epoch(val) [51][820/2475] eta: 0:02:24 time: 0.0872 data_time: 0.0415 memory: 817 2022/07/31 00:13:04 - mmengine - INFO - Epoch(val) [51][840/2475] eta: 0:01:45 time: 0.0645 data_time: 0.0346 memory: 817 2022/07/31 00:13:05 - mmengine - INFO - Epoch(val) [51][860/2475] eta: 0:02:18 time: 0.0856 data_time: 0.0595 memory: 817 2022/07/31 00:13:07 - mmengine - INFO - Epoch(val) [51][880/2475] eta: 0:01:59 time: 0.0749 data_time: 0.0491 memory: 817 2022/07/31 00:13:09 - mmengine - INFO - Epoch(val) [51][900/2475] eta: 0:02:42 time: 0.1033 data_time: 0.0756 memory: 817 2022/07/31 00:13:10 - mmengine - INFO - Epoch(val) [51][920/2475] eta: 0:01:46 time: 0.0687 data_time: 0.0414 memory: 817 2022/07/31 00:13:12 - mmengine - INFO - Epoch(val) [51][940/2475] eta: 0:02:10 time: 0.0847 data_time: 0.0553 memory: 817 2022/07/31 00:13:13 - mmengine - INFO - Epoch(val) [51][960/2475] eta: 0:01:37 time: 0.0646 data_time: 0.0372 memory: 817 2022/07/31 00:13:15 - mmengine - INFO - Epoch(val) [51][980/2475] eta: 0:02:19 time: 0.0936 data_time: 0.0665 memory: 817 2022/07/31 00:13:16 - mmengine - INFO - Epoch(val) [51][1000/2475] eta: 0:01:46 time: 0.0721 data_time: 0.0455 memory: 817 2022/07/31 00:13:18 - mmengine - INFO - Epoch(val) [51][1020/2475] eta: 0:02:21 time: 0.0971 data_time: 0.0715 memory: 817 2022/07/31 00:13:20 - mmengine - INFO - Epoch(val) [51][1040/2475] eta: 0:01:38 time: 0.0685 data_time: 0.0414 memory: 817 2022/07/31 00:13:22 - mmengine - INFO - Epoch(val) [51][1060/2475] eta: 0:02:06 time: 0.0895 data_time: 0.0605 memory: 817 2022/07/31 00:13:23 - mmengine - INFO - Epoch(val) [51][1080/2475] eta: 0:01:37 time: 0.0700 data_time: 0.0400 memory: 817 2022/07/31 00:13:25 - mmengine - INFO - Epoch(val) [51][1100/2475] eta: 0:01:56 time: 0.0848 data_time: 0.0582 memory: 817 2022/07/31 00:13:26 - mmengine - INFO - Epoch(val) [51][1120/2475] eta: 0:01:32 time: 0.0680 data_time: 0.0413 memory: 817 2022/07/31 00:13:28 - mmengine - INFO - Epoch(val) [51][1140/2475] eta: 0:02:10 time: 0.0978 data_time: 0.0717 memory: 817 2022/07/31 00:13:30 - mmengine - INFO - Epoch(val) [51][1160/2475] eta: 0:01:42 time: 0.0776 data_time: 0.0505 memory: 817 2022/07/31 00:13:31 - mmengine - INFO - Epoch(val) [51][1180/2475] eta: 0:01:55 time: 0.0894 data_time: 0.0608 memory: 817 2022/07/31 00:13:33 - mmengine - INFO - Epoch(val) [51][1200/2475] eta: 0:01:51 time: 0.0876 data_time: 0.0602 memory: 817 2022/07/31 00:13:35 - mmengine - INFO - Epoch(val) [51][1220/2475] eta: 0:01:50 time: 0.0877 data_time: 0.0601 memory: 817 2022/07/31 00:13:36 - mmengine - INFO - Epoch(val) [51][1240/2475] eta: 0:01:25 time: 0.0690 data_time: 0.0420 memory: 817 2022/07/31 00:13:38 - mmengine - INFO - Epoch(val) [51][1260/2475] eta: 0:01:52 time: 0.0928 data_time: 0.0644 memory: 817 2022/07/31 00:13:40 - mmengine - INFO - Epoch(val) [51][1280/2475] eta: 0:01:26 time: 0.0723 data_time: 0.0456 memory: 817 2022/07/31 00:13:41 - mmengine - INFO - Epoch(val) [51][1300/2475] eta: 0:01:47 time: 0.0914 data_time: 0.0642 memory: 817 2022/07/31 00:13:43 - mmengine - INFO - Epoch(val) [51][1320/2475] eta: 0:01:17 time: 0.0675 data_time: 0.0406 memory: 817 2022/07/31 00:13:45 - mmengine - INFO - Epoch(val) [51][1340/2475] eta: 0:01:51 time: 0.0984 data_time: 0.0679 memory: 817 2022/07/31 00:13:46 - mmengine - INFO - Epoch(val) [51][1360/2475] eta: 0:01:22 time: 0.0737 data_time: 0.0470 memory: 817 2022/07/31 00:13:48 - mmengine - INFO - Epoch(val) [51][1380/2475] eta: 0:01:37 time: 0.0889 data_time: 0.0630 memory: 817 2022/07/31 00:13:49 - mmengine - INFO - Epoch(val) [51][1400/2475] eta: 0:01:13 time: 0.0681 data_time: 0.0394 memory: 817 2022/07/31 00:13:51 - mmengine - INFO - Epoch(val) [51][1420/2475] eta: 0:01:30 time: 0.0859 data_time: 0.0577 memory: 817 2022/07/31 00:13:53 - mmengine - INFO - Epoch(val) [51][1440/2475] eta: 0:01:11 time: 0.0693 data_time: 0.0405 memory: 817 2022/07/31 00:13:54 - mmengine - INFO - Epoch(val) [51][1460/2475] eta: 0:01:26 time: 0.0847 data_time: 0.0573 memory: 817 2022/07/31 00:13:56 - mmengine - INFO - Epoch(val) [51][1480/2475] eta: 0:01:14 time: 0.0750 data_time: 0.0486 memory: 817 2022/07/31 00:13:57 - mmengine - INFO - Epoch(val) [51][1500/2475] eta: 0:01:23 time: 0.0860 data_time: 0.0590 memory: 817 2022/07/31 00:13:59 - mmengine - INFO - Epoch(val) [51][1520/2475] eta: 0:01:07 time: 0.0703 data_time: 0.0437 memory: 817 2022/07/31 00:14:01 - mmengine - INFO - Epoch(val) [51][1540/2475] eta: 0:01:20 time: 0.0860 data_time: 0.0584 memory: 817 2022/07/31 00:14:02 - mmengine - INFO - Epoch(val) [51][1560/2475] eta: 0:01:00 time: 0.0664 data_time: 0.0394 memory: 817 2022/07/31 00:14:04 - mmengine - INFO - Epoch(val) [51][1580/2475] eta: 0:01:20 time: 0.0897 data_time: 0.0604 memory: 817 2022/07/31 00:14:05 - mmengine - INFO - Epoch(val) [51][1600/2475] eta: 0:01:01 time: 0.0709 data_time: 0.0422 memory: 817 2022/07/31 00:14:07 - mmengine - INFO - Epoch(val) [51][1620/2475] eta: 0:01:20 time: 0.0943 data_time: 0.0660 memory: 817 2022/07/31 00:14:08 - mmengine - INFO - Epoch(val) [51][1640/2475] eta: 0:00:58 time: 0.0696 data_time: 0.0431 memory: 817 2022/07/31 00:14:10 - mmengine - INFO - Epoch(val) [51][1660/2475] eta: 0:01:20 time: 0.0994 data_time: 0.0705 memory: 817 2022/07/31 00:14:12 - mmengine - INFO - Epoch(val) [51][1680/2475] eta: 0:01:15 time: 0.0944 data_time: 0.0422 memory: 817 2022/07/31 00:14:14 - mmengine - INFO - Epoch(val) [51][1700/2475] eta: 0:00:51 time: 0.0662 data_time: 0.0334 memory: 817 2022/07/31 00:14:15 - mmengine - INFO - Epoch(val) [51][1720/2475] eta: 0:00:53 time: 0.0704 data_time: 0.0437 memory: 817 2022/07/31 00:14:17 - mmengine - INFO - Epoch(val) [51][1740/2475] eta: 0:01:13 time: 0.0998 data_time: 0.0707 memory: 817 2022/07/31 00:14:18 - mmengine - INFO - Epoch(val) [51][1760/2475] eta: 0:00:50 time: 0.0706 data_time: 0.0443 memory: 817 2022/07/31 00:14:20 - mmengine - INFO - Epoch(val) [51][1780/2475] eta: 0:00:59 time: 0.0860 data_time: 0.0583 memory: 817 2022/07/31 00:14:22 - mmengine - INFO - Epoch(val) [51][1800/2475] eta: 0:00:53 time: 0.0790 data_time: 0.0505 memory: 817 2022/07/31 00:14:23 - mmengine - INFO - Epoch(val) [51][1820/2475] eta: 0:00:56 time: 0.0860 data_time: 0.0562 memory: 817 2022/07/31 00:14:25 - mmengine - INFO - Epoch(val) [51][1840/2475] eta: 0:00:44 time: 0.0694 data_time: 0.0426 memory: 817 2022/07/31 00:14:27 - mmengine - INFO - Epoch(val) [51][1860/2475] eta: 0:00:56 time: 0.0920 data_time: 0.0657 memory: 817 2022/07/31 00:14:28 - mmengine - INFO - Epoch(val) [51][1880/2475] eta: 0:00:45 time: 0.0771 data_time: 0.0474 memory: 817 2022/07/31 00:14:30 - mmengine - INFO - Epoch(val) [51][1900/2475] eta: 0:00:55 time: 0.0965 data_time: 0.0693 memory: 817 2022/07/31 00:14:32 - mmengine - INFO - Epoch(val) [51][1920/2475] eta: 0:00:38 time: 0.0703 data_time: 0.0406 memory: 817 2022/07/31 00:14:33 - mmengine - INFO - Epoch(val) [51][1940/2475] eta: 0:00:42 time: 0.0793 data_time: 0.0513 memory: 817 2022/07/31 00:14:35 - mmengine - INFO - Epoch(val) [51][1960/2475] eta: 0:00:34 time: 0.0661 data_time: 0.0349 memory: 817 2022/07/31 00:14:36 - mmengine - INFO - Epoch(val) [51][1980/2475] eta: 0:00:38 time: 0.0776 data_time: 0.0498 memory: 817 2022/07/31 00:14:38 - mmengine - INFO - Epoch(val) [51][2000/2475] eta: 0:00:41 time: 0.0869 data_time: 0.0594 memory: 817 2022/07/31 00:14:39 - mmengine - INFO - Epoch(val) [51][2020/2475] eta: 0:00:33 time: 0.0744 data_time: 0.0464 memory: 817 2022/07/31 00:14:41 - mmengine - INFO - Epoch(val) [51][2040/2475] eta: 0:00:36 time: 0.0840 data_time: 0.0555 memory: 817 2022/07/31 00:14:43 - mmengine - INFO - Epoch(val) [51][2060/2475] eta: 0:00:35 time: 0.0859 data_time: 0.0590 memory: 817 2022/07/31 00:14:44 - mmengine - INFO - Epoch(val) [51][2080/2475] eta: 0:00:27 time: 0.0693 data_time: 0.0406 memory: 817 2022/07/31 00:14:46 - mmengine - INFO - Epoch(val) [51][2100/2475] eta: 0:00:29 time: 0.0791 data_time: 0.0491 memory: 817 2022/07/31 00:14:47 - mmengine - INFO - Epoch(val) [51][2120/2475] eta: 0:00:27 time: 0.0767 data_time: 0.0485 memory: 817 2022/07/31 00:14:49 - mmengine - INFO - Epoch(val) [51][2140/2475] eta: 0:00:27 time: 0.0831 data_time: 0.0555 memory: 817 2022/07/31 00:14:51 - mmengine - INFO - Epoch(val) [51][2160/2475] eta: 0:00:25 time: 0.0806 data_time: 0.0506 memory: 817 2022/07/31 00:14:53 - mmengine - INFO - Epoch(val) [51][2180/2475] eta: 0:00:30 time: 0.1028 data_time: 0.0416 memory: 817 2022/07/31 00:14:54 - mmengine - INFO - Epoch(val) [51][2200/2475] eta: 0:00:13 time: 0.0490 data_time: 0.0146 memory: 817 2022/07/31 00:14:55 - mmengine - INFO - Epoch(val) [51][2220/2475] eta: 0:00:22 time: 0.0900 data_time: 0.0636 memory: 817 2022/07/31 00:14:57 - mmengine - INFO - Epoch(val) [51][2240/2475] eta: 0:00:18 time: 0.0788 data_time: 0.0526 memory: 817 2022/07/31 00:14:59 - mmengine - INFO - Epoch(val) [51][2260/2475] eta: 0:00:22 time: 0.1046 data_time: 0.0773 memory: 817 2022/07/31 00:15:00 - mmengine - INFO - Epoch(val) [51][2280/2475] eta: 0:00:12 time: 0.0641 data_time: 0.0369 memory: 817 2022/07/31 00:15:02 - mmengine - INFO - Epoch(val) [51][2300/2475] eta: 0:00:18 time: 0.1032 data_time: 0.0771 memory: 817 2022/07/31 00:15:04 - mmengine - INFO - Epoch(val) [51][2320/2475] eta: 0:00:13 time: 0.0854 data_time: 0.0599 memory: 817 2022/07/31 00:15:06 - mmengine - INFO - Epoch(val) [51][2340/2475] eta: 0:00:11 time: 0.0820 data_time: 0.0555 memory: 817 2022/07/31 00:15:07 - mmengine - INFO - Epoch(val) [51][2360/2475] eta: 0:00:09 time: 0.0803 data_time: 0.0525 memory: 817 2022/07/31 00:15:09 - mmengine - INFO - Epoch(val) [51][2380/2475] eta: 0:00:08 time: 0.0880 data_time: 0.0610 memory: 817 2022/07/31 00:15:11 - mmengine - INFO - Epoch(val) [51][2400/2475] eta: 0:00:05 time: 0.0687 data_time: 0.0425 memory: 817 2022/07/31 00:15:12 - mmengine - INFO - Epoch(val) [51][2420/2475] eta: 0:00:05 time: 0.0959 data_time: 0.0672 memory: 817 2022/07/31 00:15:14 - mmengine - INFO - Epoch(val) [51][2440/2475] eta: 0:00:02 time: 0.0662 data_time: 0.0378 memory: 817 2022/07/31 00:15:16 - mmengine - INFO - Epoch(val) [51][2460/2475] eta: 0:00:01 time: 0.0899 data_time: 0.0621 memory: 817 2022/07/31 00:15:19 - mmengine - INFO - Epoch(val) [51][2475/2475] acc/top1: 0.7645 acc/top5: 0.9231 acc/mean1: 0.7644 2022/07/31 00:15:20 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_49.pth is removed 2022/07/31 00:15:23 - mmengine - INFO - The best checkpoint with 0.7645 acc/top1 at 52 epoch is saved to best_acc/top1_epoch_52.pth. 2022/07/31 00:15:49 - mmengine - INFO - Epoch(train) [52][20/2505] lr: 5.0000e-06 eta: 4:48:57 time: 1.2977 data_time: 0.7122 memory: 32703 grad_norm: 18.6492 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1217 loss: 1.1217 2022/07/31 00:16:07 - mmengine - INFO - Epoch(train) [52][40/2505] lr: 5.0000e-06 eta: 4:48:37 time: 0.9387 data_time: 0.3268 memory: 32703 grad_norm: 19.4507 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0472 loss: 1.0472 2022/07/31 00:16:28 - mmengine - INFO - Epoch(train) [52][60/2505] lr: 5.0000e-06 eta: 4:48:17 time: 1.0216 data_time: 0.4037 memory: 32703 grad_norm: 19.0781 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9041 loss: 0.9041 2022/07/31 00:16:46 - mmengine - INFO - Epoch(train) [52][80/2505] lr: 5.0000e-06 eta: 4:47:57 time: 0.9111 data_time: 0.3060 memory: 32703 grad_norm: 19.1771 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0115 loss: 1.0115 2022/07/31 00:17:06 - mmengine - INFO - Epoch(train) [52][100/2505] lr: 5.0000e-06 eta: 4:47:37 time: 1.0110 data_time: 0.4303 memory: 32703 grad_norm: 19.7002 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1406 loss: 1.1406 2022/07/31 00:17:25 - mmengine - INFO - Epoch(train) [52][120/2505] lr: 5.0000e-06 eta: 4:47:18 time: 0.9255 data_time: 0.3126 memory: 32703 grad_norm: 19.4651 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0263 loss: 1.0263 2022/07/31 00:17:46 - mmengine - INFO - Epoch(train) [52][140/2505] lr: 5.0000e-06 eta: 4:46:58 time: 1.0712 data_time: 0.4840 memory: 32703 grad_norm: 18.5366 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8627 loss: 0.8627 2022/07/31 00:18:04 - mmengine - INFO - Epoch(train) [52][160/2505] lr: 5.0000e-06 eta: 4:46:38 time: 0.9004 data_time: 0.2803 memory: 32703 grad_norm: 19.9632 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1217 loss: 1.1217 2022/07/31 00:18:26 - mmengine - INFO - Epoch(train) [52][180/2505] lr: 5.0000e-06 eta: 4:46:18 time: 1.0661 data_time: 0.3618 memory: 32703 grad_norm: 18.8005 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0427 loss: 1.0427 2022/07/31 00:18:44 - mmengine - INFO - Epoch(train) [52][200/2505] lr: 5.0000e-06 eta: 4:45:58 time: 0.9359 data_time: 0.1895 memory: 32703 grad_norm: 18.6496 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0076 loss: 1.0076 2022/07/31 00:19:07 - mmengine - INFO - Epoch(train) [52][220/2505] lr: 5.0000e-06 eta: 4:45:39 time: 1.1078 data_time: 0.1589 memory: 32703 grad_norm: 19.0318 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.8478 loss: 0.8478 2022/07/31 00:19:24 - mmengine - INFO - Epoch(train) [52][240/2505] lr: 5.0000e-06 eta: 4:45:19 time: 0.8759 data_time: 0.0621 memory: 32703 grad_norm: 19.3690 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9811 loss: 0.9811 2022/07/31 00:19:29 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 00:19:45 - mmengine - INFO - Epoch(train) [52][260/2505] lr: 5.0000e-06 eta: 4:44:59 time: 1.0625 data_time: 0.1026 memory: 32703 grad_norm: 18.8202 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0176 loss: 1.0176 2022/07/31 00:20:03 - mmengine - INFO - Epoch(train) [52][280/2505] lr: 5.0000e-06 eta: 4:44:39 time: 0.9077 data_time: 0.0261 memory: 32703 grad_norm: 19.6895 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0162 loss: 1.0162 2022/07/31 00:20:25 - mmengine - INFO - Epoch(train) [52][300/2505] lr: 5.0000e-06 eta: 4:44:20 time: 1.0855 data_time: 0.1468 memory: 32703 grad_norm: 18.3281 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0139 loss: 1.0139 2022/07/31 00:20:43 - mmengine - INFO - Epoch(train) [52][320/2505] lr: 5.0000e-06 eta: 4:44:00 time: 0.8789 data_time: 0.0803 memory: 32703 grad_norm: 19.4564 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9777 loss: 0.9777 2022/07/31 00:21:04 - mmengine - INFO - Epoch(train) [52][340/2505] lr: 5.0000e-06 eta: 4:43:40 time: 1.0842 data_time: 0.2211 memory: 32703 grad_norm: 18.7383 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9686 loss: 0.9686 2022/07/31 00:21:22 - mmengine - INFO - Epoch(train) [52][360/2505] lr: 5.0000e-06 eta: 4:43:20 time: 0.8777 data_time: 0.0548 memory: 32703 grad_norm: 18.3962 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0192 loss: 1.0192 2022/07/31 00:21:43 - mmengine - INFO - Epoch(train) [52][380/2505] lr: 5.0000e-06 eta: 4:43:00 time: 1.0537 data_time: 0.0787 memory: 32703 grad_norm: 19.0390 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9148 loss: 0.9148 2022/07/31 00:22:01 - mmengine - INFO - Epoch(train) [52][400/2505] lr: 5.0000e-06 eta: 4:42:40 time: 0.8821 data_time: 0.0544 memory: 32703 grad_norm: 18.3610 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8143 loss: 0.8143 2022/07/31 00:22:20 - mmengine - INFO - Epoch(train) [52][420/2505] lr: 5.0000e-06 eta: 4:42:20 time: 0.9686 data_time: 0.1044 memory: 32703 grad_norm: 19.2907 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0931 loss: 1.0931 2022/07/31 00:22:38 - mmengine - INFO - Epoch(train) [52][440/2505] lr: 5.0000e-06 eta: 4:42:00 time: 0.8907 data_time: 0.2374 memory: 32703 grad_norm: 19.2716 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0216 loss: 1.0216 2022/07/31 00:23:00 - mmengine - INFO - Epoch(train) [52][460/2505] lr: 5.0000e-06 eta: 4:41:41 time: 1.0901 data_time: 0.2390 memory: 32703 grad_norm: 19.5070 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9744 loss: 0.9744 2022/07/31 00:23:18 - mmengine - INFO - Epoch(train) [52][480/2505] lr: 5.0000e-06 eta: 4:41:21 time: 0.8905 data_time: 0.1559 memory: 32703 grad_norm: 19.3523 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9738 loss: 0.9738 2022/07/31 00:23:39 - mmengine - INFO - Epoch(train) [52][500/2505] lr: 5.0000e-06 eta: 4:41:01 time: 1.0605 data_time: 0.1796 memory: 32703 grad_norm: 18.5836 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9213 loss: 0.9213 2022/07/31 00:23:57 - mmengine - INFO - Epoch(train) [52][520/2505] lr: 5.0000e-06 eta: 4:40:41 time: 0.9040 data_time: 0.1015 memory: 32703 grad_norm: 19.3967 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7550 loss: 0.7550 2022/07/31 00:24:18 - mmengine - INFO - Epoch(train) [52][540/2505] lr: 5.0000e-06 eta: 4:40:21 time: 1.0593 data_time: 0.1610 memory: 32703 grad_norm: 19.2224 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9350 loss: 0.9350 2022/07/31 00:24:36 - mmengine - INFO - Epoch(train) [52][560/2505] lr: 5.0000e-06 eta: 4:40:01 time: 0.9171 data_time: 0.0996 memory: 32703 grad_norm: 18.5837 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9389 loss: 0.9389 2022/07/31 00:24:57 - mmengine - INFO - Epoch(train) [52][580/2505] lr: 5.0000e-06 eta: 4:39:42 time: 1.0385 data_time: 0.1326 memory: 32703 grad_norm: 20.2657 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0178 loss: 1.0178 2022/07/31 00:25:16 - mmengine - INFO - Epoch(train) [52][600/2505] lr: 5.0000e-06 eta: 4:39:22 time: 0.9354 data_time: 0.0668 memory: 32703 grad_norm: 19.1459 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9866 loss: 0.9866 2022/07/31 00:25:38 - mmengine - INFO - Epoch(train) [52][620/2505] lr: 5.0000e-06 eta: 4:39:02 time: 1.0880 data_time: 0.0313 memory: 32703 grad_norm: 19.7811 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1939 loss: 1.1939 2022/07/31 00:25:56 - mmengine - INFO - Epoch(train) [52][640/2505] lr: 5.0000e-06 eta: 4:38:42 time: 0.9239 data_time: 0.0272 memory: 32703 grad_norm: 18.9278 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8984 loss: 0.8984 2022/07/31 00:26:18 - mmengine - INFO - Epoch(train) [52][660/2505] lr: 5.0000e-06 eta: 4:38:23 time: 1.0754 data_time: 0.0334 memory: 32703 grad_norm: 18.1977 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0739 loss: 1.0739 2022/07/31 00:26:36 - mmengine - INFO - Epoch(train) [52][680/2505] lr: 5.0000e-06 eta: 4:38:03 time: 0.9181 data_time: 0.0274 memory: 32703 grad_norm: 19.2731 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9812 loss: 0.9812 2022/07/31 00:26:57 - mmengine - INFO - Epoch(train) [52][700/2505] lr: 5.0000e-06 eta: 4:37:43 time: 1.0414 data_time: 0.0325 memory: 32703 grad_norm: 18.1043 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0562 loss: 1.0562 2022/07/31 00:27:14 - mmengine - INFO - Epoch(train) [52][720/2505] lr: 5.0000e-06 eta: 4:37:23 time: 0.8683 data_time: 0.0277 memory: 32703 grad_norm: 19.6474 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.3265 loss: 1.3265 2022/07/31 00:27:35 - mmengine - INFO - Epoch(train) [52][740/2505] lr: 5.0000e-06 eta: 4:37:03 time: 1.0365 data_time: 0.0270 memory: 32703 grad_norm: 18.8661 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9849 loss: 0.9849 2022/07/31 00:27:53 - mmengine - INFO - Epoch(train) [52][760/2505] lr: 5.0000e-06 eta: 4:36:43 time: 0.9152 data_time: 0.0337 memory: 32703 grad_norm: 18.9262 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8798 loss: 0.8798 2022/07/31 00:28:15 - mmengine - INFO - Epoch(train) [52][780/2505] lr: 5.0000e-06 eta: 4:36:24 time: 1.0622 data_time: 0.0273 memory: 32703 grad_norm: 19.4596 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0349 loss: 1.0349 2022/07/31 00:28:33 - mmengine - INFO - Epoch(train) [52][800/2505] lr: 5.0000e-06 eta: 4:36:04 time: 0.9389 data_time: 0.0299 memory: 32703 grad_norm: 18.7266 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0810 loss: 1.0810 2022/07/31 00:28:53 - mmengine - INFO - Epoch(train) [52][820/2505] lr: 5.0000e-06 eta: 4:35:44 time: 0.9902 data_time: 0.0269 memory: 32703 grad_norm: 18.8670 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9146 loss: 0.9146 2022/07/31 00:29:14 - mmengine - INFO - Epoch(train) [52][840/2505] lr: 5.0000e-06 eta: 4:35:24 time: 1.0227 data_time: 0.0271 memory: 32703 grad_norm: 19.2248 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0831 loss: 1.0831 2022/07/31 00:29:33 - mmengine - INFO - Epoch(train) [52][860/2505] lr: 5.0000e-06 eta: 4:35:04 time: 0.9517 data_time: 0.0276 memory: 32703 grad_norm: 18.7954 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9895 loss: 0.9895 2022/07/31 00:29:51 - mmengine - INFO - Epoch(train) [52][880/2505] lr: 5.0000e-06 eta: 4:34:44 time: 0.9195 data_time: 0.0285 memory: 32703 grad_norm: 19.7237 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8864 loss: 0.8864 2022/07/31 00:30:12 - mmengine - INFO - Epoch(train) [52][900/2505] lr: 5.0000e-06 eta: 4:34:25 time: 1.0534 data_time: 0.0273 memory: 32703 grad_norm: 18.3486 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7024 loss: 0.7024 2022/07/31 00:30:31 - mmengine - INFO - Epoch(train) [52][920/2505] lr: 5.0000e-06 eta: 4:34:05 time: 0.9302 data_time: 0.0278 memory: 32703 grad_norm: 19.4566 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0708 loss: 1.0708 2022/07/31 00:30:52 - mmengine - INFO - Epoch(train) [52][940/2505] lr: 5.0000e-06 eta: 4:33:45 time: 1.0514 data_time: 0.0257 memory: 32703 grad_norm: 18.7480 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8848 loss: 0.8848 2022/07/31 00:31:11 - mmengine - INFO - Epoch(train) [52][960/2505] lr: 5.0000e-06 eta: 4:33:25 time: 0.9365 data_time: 0.0293 memory: 32703 grad_norm: 18.9582 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8938 loss: 0.8938 2022/07/31 00:31:31 - mmengine - INFO - Epoch(train) [52][980/2505] lr: 5.0000e-06 eta: 4:33:06 time: 1.0075 data_time: 0.0270 memory: 32703 grad_norm: 19.1010 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9172 loss: 0.9172 2022/07/31 00:31:49 - mmengine - INFO - Epoch(train) [52][1000/2505] lr: 5.0000e-06 eta: 4:32:46 time: 0.9201 data_time: 0.0256 memory: 32703 grad_norm: 19.4268 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8978 loss: 0.8978 2022/07/31 00:32:10 - mmengine - INFO - Epoch(train) [52][1020/2505] lr: 5.0000e-06 eta: 4:32:26 time: 1.0449 data_time: 0.0264 memory: 32703 grad_norm: 18.6451 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9279 loss: 0.9279 2022/07/31 00:32:29 - mmengine - INFO - Epoch(train) [52][1040/2505] lr: 5.0000e-06 eta: 4:32:06 time: 0.9292 data_time: 0.0274 memory: 32703 grad_norm: 19.5021 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0096 loss: 1.0096 2022/07/31 00:32:49 - mmengine - INFO - Epoch(train) [52][1060/2505] lr: 5.0000e-06 eta: 4:31:46 time: 1.0412 data_time: 0.0263 memory: 32703 grad_norm: 17.8007 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0178 loss: 1.0178 2022/07/31 00:33:08 - mmengine - INFO - Epoch(train) [52][1080/2505] lr: 5.0000e-06 eta: 4:31:26 time: 0.9296 data_time: 0.0266 memory: 32703 grad_norm: 18.7208 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9156 loss: 0.9156 2022/07/31 00:33:28 - mmengine - INFO - Epoch(train) [52][1100/2505] lr: 5.0000e-06 eta: 4:31:07 time: 1.0038 data_time: 0.0289 memory: 32703 grad_norm: 18.4669 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9401 loss: 0.9401 2022/07/31 00:33:47 - mmengine - INFO - Epoch(train) [52][1120/2505] lr: 5.0000e-06 eta: 4:30:47 time: 0.9319 data_time: 0.0274 memory: 32703 grad_norm: 19.1097 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9998 loss: 0.9998 2022/07/31 00:34:07 - mmengine - INFO - Epoch(train) [52][1140/2505] lr: 5.0000e-06 eta: 4:30:27 time: 0.9919 data_time: 0.0260 memory: 32703 grad_norm: 18.7953 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8730 loss: 0.8730 2022/07/31 00:34:26 - mmengine - INFO - Epoch(train) [52][1160/2505] lr: 5.0000e-06 eta: 4:30:07 time: 0.9520 data_time: 0.0292 memory: 32703 grad_norm: 19.5257 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1062 loss: 1.1062 2022/07/31 00:34:47 - mmengine - INFO - Epoch(train) [52][1180/2505] lr: 5.0000e-06 eta: 4:29:47 time: 1.0593 data_time: 0.0264 memory: 32703 grad_norm: 18.6208 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9415 loss: 0.9415 2022/07/31 00:35:06 - mmengine - INFO - Epoch(train) [52][1200/2505] lr: 5.0000e-06 eta: 4:29:27 time: 0.9477 data_time: 0.0267 memory: 32703 grad_norm: 18.3541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7917 loss: 0.7917 2022/07/31 00:35:27 - mmengine - INFO - Epoch(train) [52][1220/2505] lr: 5.0000e-06 eta: 4:29:08 time: 1.0580 data_time: 0.0278 memory: 32703 grad_norm: 19.6372 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8437 loss: 0.8437 2022/07/31 00:35:45 - mmengine - INFO - Epoch(train) [52][1240/2505] lr: 5.0000e-06 eta: 4:28:48 time: 0.8902 data_time: 0.0283 memory: 32703 grad_norm: 18.5397 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0923 loss: 1.0923 2022/07/31 00:35:50 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 00:36:07 - mmengine - INFO - Epoch(train) [52][1260/2505] lr: 5.0000e-06 eta: 4:28:28 time: 1.1053 data_time: 0.0289 memory: 32703 grad_norm: 19.9145 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1934 loss: 1.1934 2022/07/31 00:36:26 - mmengine - INFO - Epoch(train) [52][1280/2505] lr: 5.0000e-06 eta: 4:28:08 time: 0.9319 data_time: 0.0288 memory: 32703 grad_norm: 18.8919 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8227 loss: 0.8227 2022/07/31 00:36:45 - mmengine - INFO - Epoch(train) [52][1300/2505] lr: 5.0000e-06 eta: 4:27:49 time: 0.9936 data_time: 0.0273 memory: 32703 grad_norm: 19.3512 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8877 loss: 0.8877 2022/07/31 00:37:05 - mmengine - INFO - Epoch(train) [52][1320/2505] lr: 5.0000e-06 eta: 4:27:29 time: 0.9997 data_time: 0.0282 memory: 32703 grad_norm: 19.5289 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9570 loss: 0.9570 2022/07/31 00:37:24 - mmengine - INFO - Epoch(train) [52][1340/2505] lr: 5.0000e-06 eta: 4:27:09 time: 0.9091 data_time: 0.0269 memory: 32703 grad_norm: 18.5988 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9027 loss: 0.9027 2022/07/31 00:37:44 - mmengine - INFO - Epoch(train) [52][1360/2505] lr: 5.0000e-06 eta: 4:26:49 time: 1.0166 data_time: 0.0278 memory: 32703 grad_norm: 19.4244 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7596 loss: 0.7596 2022/07/31 00:38:03 - mmengine - INFO - Epoch(train) [52][1380/2505] lr: 5.0000e-06 eta: 4:26:29 time: 0.9619 data_time: 0.0273 memory: 32703 grad_norm: 18.9748 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1326 loss: 1.1326 2022/07/31 00:38:23 - mmengine - INFO - Epoch(train) [52][1400/2505] lr: 5.0000e-06 eta: 4:26:09 time: 0.9780 data_time: 0.0271 memory: 32703 grad_norm: 18.3040 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9090 loss: 0.9090 2022/07/31 00:38:44 - mmengine - INFO - Epoch(train) [52][1420/2505] lr: 5.0000e-06 eta: 4:25:50 time: 1.0339 data_time: 0.0295 memory: 32703 grad_norm: 19.0053 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8970 loss: 0.8970 2022/07/31 00:39:02 - mmengine - INFO - Epoch(train) [52][1440/2505] lr: 5.0000e-06 eta: 4:25:30 time: 0.9000 data_time: 0.0323 memory: 32703 grad_norm: 18.7933 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 0.9270 loss: 0.9270 2022/07/31 00:39:22 - mmengine - INFO - Epoch(train) [52][1460/2505] lr: 5.0000e-06 eta: 4:25:10 time: 1.0468 data_time: 0.0324 memory: 32703 grad_norm: 18.4455 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9918 loss: 0.9918 2022/07/31 00:39:41 - mmengine - INFO - Epoch(train) [52][1480/2505] lr: 5.0000e-06 eta: 4:24:50 time: 0.9167 data_time: 0.0290 memory: 32703 grad_norm: 19.1483 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9308 loss: 0.9308 2022/07/31 00:40:02 - mmengine - INFO - Epoch(train) [52][1500/2505] lr: 5.0000e-06 eta: 4:24:30 time: 1.0385 data_time: 0.0296 memory: 32703 grad_norm: 19.2475 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0518 loss: 1.0518 2022/07/31 00:40:21 - mmengine - INFO - Epoch(train) [52][1520/2505] lr: 5.0000e-06 eta: 4:24:10 time: 0.9735 data_time: 0.0452 memory: 32703 grad_norm: 19.8552 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1215 loss: 1.1215 2022/07/31 00:40:42 - mmengine - INFO - Epoch(train) [52][1540/2505] lr: 5.0000e-06 eta: 4:23:51 time: 1.0457 data_time: 0.0329 memory: 32703 grad_norm: 18.1510 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9606 loss: 0.9606 2022/07/31 00:41:00 - mmengine - INFO - Epoch(train) [52][1560/2505] lr: 5.0000e-06 eta: 4:23:31 time: 0.9015 data_time: 0.0279 memory: 32703 grad_norm: 18.8680 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9759 loss: 0.9759 2022/07/31 00:41:21 - mmengine - INFO - Epoch(train) [52][1580/2505] lr: 5.0000e-06 eta: 4:23:11 time: 1.0412 data_time: 0.0303 memory: 32703 grad_norm: 19.8084 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9336 loss: 0.9336 2022/07/31 00:41:39 - mmengine - INFO - Epoch(train) [52][1600/2505] lr: 5.0000e-06 eta: 4:22:51 time: 0.9066 data_time: 0.0273 memory: 32703 grad_norm: 18.8082 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8478 loss: 0.8478 2022/07/31 00:41:59 - mmengine - INFO - Epoch(train) [52][1620/2505] lr: 5.0000e-06 eta: 4:22:31 time: 1.0061 data_time: 0.0284 memory: 32703 grad_norm: 18.9616 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7578 loss: 0.7578 2022/07/31 00:42:17 - mmengine - INFO - Epoch(train) [52][1640/2505] lr: 5.0000e-06 eta: 4:22:11 time: 0.8909 data_time: 0.0244 memory: 32703 grad_norm: 19.3556 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1109 loss: 1.1109 2022/07/31 00:42:37 - mmengine - INFO - Epoch(train) [52][1660/2505] lr: 5.0000e-06 eta: 4:21:52 time: 1.0126 data_time: 0.0286 memory: 32703 grad_norm: 18.3062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8515 loss: 0.8515 2022/07/31 00:42:57 - mmengine - INFO - Epoch(train) [52][1680/2505] lr: 5.0000e-06 eta: 4:21:32 time: 0.9794 data_time: 0.0282 memory: 32703 grad_norm: 19.2518 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2104 loss: 1.2104 2022/07/31 00:43:15 - mmengine - INFO - Epoch(train) [52][1700/2505] lr: 5.0000e-06 eta: 4:21:12 time: 0.9309 data_time: 0.0267 memory: 32703 grad_norm: 19.5302 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9556 loss: 0.9556 2022/07/31 00:43:37 - mmengine - INFO - Epoch(train) [52][1720/2505] lr: 5.0000e-06 eta: 4:20:52 time: 1.0602 data_time: 0.0270 memory: 32703 grad_norm: 19.5186 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0672 loss: 1.0672 2022/07/31 00:43:55 - mmengine - INFO - Epoch(train) [52][1740/2505] lr: 5.0000e-06 eta: 4:20:32 time: 0.8961 data_time: 0.0276 memory: 32703 grad_norm: 19.2859 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9613 loss: 0.9613 2022/07/31 00:44:15 - mmengine - INFO - Epoch(train) [52][1760/2505] lr: 5.0000e-06 eta: 4:20:12 time: 1.0017 data_time: 0.0304 memory: 32703 grad_norm: 18.9808 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0330 loss: 1.0330 2022/07/31 00:44:34 - mmengine - INFO - Epoch(train) [52][1780/2505] lr: 5.0000e-06 eta: 4:19:53 time: 0.9441 data_time: 0.0282 memory: 32703 grad_norm: 18.2111 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9603 loss: 0.9603 2022/07/31 00:44:56 - mmengine - INFO - Epoch(train) [52][1800/2505] lr: 5.0000e-06 eta: 4:19:33 time: 1.1067 data_time: 0.0266 memory: 32703 grad_norm: 19.1134 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9334 loss: 0.9334 2022/07/31 00:45:14 - mmengine - INFO - Epoch(train) [52][1820/2505] lr: 5.0000e-06 eta: 4:19:13 time: 0.9209 data_time: 0.0282 memory: 32703 grad_norm: 18.4463 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1218 loss: 1.1218 2022/07/31 00:45:34 - mmengine - INFO - Epoch(train) [52][1840/2505] lr: 5.0000e-06 eta: 4:18:53 time: 0.9940 data_time: 0.0295 memory: 32703 grad_norm: 19.2796 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0098 loss: 1.0098 2022/07/31 00:45:53 - mmengine - INFO - Epoch(train) [52][1860/2505] lr: 5.0000e-06 eta: 4:18:33 time: 0.9472 data_time: 0.0367 memory: 32703 grad_norm: 19.1788 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0125 loss: 1.0125 2022/07/31 00:46:13 - mmengine - INFO - Epoch(train) [52][1880/2505] lr: 5.0000e-06 eta: 4:18:14 time: 1.0160 data_time: 0.0321 memory: 32703 grad_norm: 18.7010 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8625 loss: 0.8625 2022/07/31 00:46:32 - mmengine - INFO - Epoch(train) [52][1900/2505] lr: 5.0000e-06 eta: 4:17:54 time: 0.9397 data_time: 0.0274 memory: 32703 grad_norm: 19.1514 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9113 loss: 0.9113 2022/07/31 00:46:54 - mmengine - INFO - Epoch(train) [52][1920/2505] lr: 5.0000e-06 eta: 4:17:34 time: 1.0655 data_time: 0.0513 memory: 32703 grad_norm: 19.3800 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1348 loss: 1.1348 2022/07/31 00:47:12 - mmengine - INFO - Epoch(train) [52][1940/2505] lr: 5.0000e-06 eta: 4:17:14 time: 0.9175 data_time: 0.0324 memory: 32703 grad_norm: 19.2777 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.7885 loss: 0.7885 2022/07/31 00:47:33 - mmengine - INFO - Epoch(train) [52][1960/2505] lr: 5.0000e-06 eta: 4:16:54 time: 1.0308 data_time: 0.0293 memory: 32703 grad_norm: 19.0690 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8633 loss: 0.8633 2022/07/31 00:47:51 - mmengine - INFO - Epoch(train) [52][1980/2505] lr: 5.0000e-06 eta: 4:16:35 time: 0.9306 data_time: 0.0537 memory: 32703 grad_norm: 19.0225 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0070 loss: 1.0070 2022/07/31 00:48:12 - mmengine - INFO - Epoch(train) [52][2000/2505] lr: 5.0000e-06 eta: 4:16:15 time: 1.0346 data_time: 0.0283 memory: 32703 grad_norm: 19.0064 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9720 loss: 0.9720 2022/07/31 00:48:29 - mmengine - INFO - Epoch(train) [52][2020/2505] lr: 5.0000e-06 eta: 4:15:55 time: 0.8759 data_time: 0.0279 memory: 32703 grad_norm: 20.0746 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9650 loss: 0.9650 2022/07/31 00:48:50 - mmengine - INFO - Epoch(train) [52][2040/2505] lr: 5.0000e-06 eta: 4:15:35 time: 1.0244 data_time: 0.0277 memory: 32703 grad_norm: 18.6900 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1704 loss: 1.1704 2022/07/31 00:49:09 - mmengine - INFO - Epoch(train) [52][2060/2505] lr: 5.0000e-06 eta: 4:15:15 time: 0.9591 data_time: 0.0312 memory: 32703 grad_norm: 18.7704 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0379 loss: 1.0379 2022/07/31 00:49:30 - mmengine - INFO - Epoch(train) [52][2080/2505] lr: 5.0000e-06 eta: 4:14:55 time: 1.0313 data_time: 0.0324 memory: 32703 grad_norm: 19.0257 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8377 loss: 0.8377 2022/07/31 00:49:48 - mmengine - INFO - Epoch(train) [52][2100/2505] lr: 5.0000e-06 eta: 4:14:36 time: 0.9304 data_time: 0.0279 memory: 32703 grad_norm: 19.4900 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0114 loss: 1.0114 2022/07/31 00:50:09 - mmengine - INFO - Epoch(train) [52][2120/2505] lr: 5.0000e-06 eta: 4:14:16 time: 1.0627 data_time: 0.0319 memory: 32703 grad_norm: 18.8115 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.7770 loss: 0.7770 2022/07/31 00:50:28 - mmengine - INFO - Epoch(train) [52][2140/2505] lr: 5.0000e-06 eta: 4:13:56 time: 0.9150 data_time: 0.0289 memory: 32703 grad_norm: 19.5195 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.9223 loss: 0.9223 2022/07/31 00:50:49 - mmengine - INFO - Epoch(train) [52][2160/2505] lr: 5.0000e-06 eta: 4:13:36 time: 1.0504 data_time: 0.0306 memory: 32703 grad_norm: 19.2152 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7469 loss: 0.7469 2022/07/31 00:51:08 - mmengine - INFO - Epoch(train) [52][2180/2505] lr: 5.0000e-06 eta: 4:13:16 time: 0.9489 data_time: 0.0285 memory: 32703 grad_norm: 19.5723 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9733 loss: 0.9733 2022/07/31 00:51:29 - mmengine - INFO - Epoch(train) [52][2200/2505] lr: 5.0000e-06 eta: 4:12:57 time: 1.0447 data_time: 0.0302 memory: 32703 grad_norm: 18.3351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7931 loss: 0.7931 2022/07/31 00:51:46 - mmengine - INFO - Epoch(train) [52][2220/2505] lr: 5.0000e-06 eta: 4:12:37 time: 0.8912 data_time: 0.0292 memory: 32703 grad_norm: 20.0614 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1762 loss: 1.1762 2022/07/31 00:52:07 - mmengine - INFO - Epoch(train) [52][2240/2505] lr: 5.0000e-06 eta: 4:12:17 time: 1.0304 data_time: 0.0279 memory: 32703 grad_norm: 18.8797 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8614 loss: 0.8614 2022/07/31 00:52:10 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 00:52:25 - mmengine - INFO - Epoch(train) [52][2260/2505] lr: 5.0000e-06 eta: 4:11:57 time: 0.9037 data_time: 0.0303 memory: 32703 grad_norm: 19.0669 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0838 loss: 1.0838 2022/07/31 00:52:45 - mmengine - INFO - Epoch(train) [52][2280/2505] lr: 5.0000e-06 eta: 4:11:37 time: 1.0119 data_time: 0.0270 memory: 32703 grad_norm: 19.0166 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9326 loss: 0.9326 2022/07/31 00:53:04 - mmengine - INFO - Epoch(train) [52][2300/2505] lr: 5.0000e-06 eta: 4:11:17 time: 0.9144 data_time: 0.0291 memory: 32703 grad_norm: 19.1698 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0795 loss: 1.0795 2022/07/31 00:53:25 - mmengine - INFO - Epoch(train) [52][2320/2505] lr: 5.0000e-06 eta: 4:10:58 time: 1.0415 data_time: 0.0278 memory: 32703 grad_norm: 19.5248 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.1933 loss: 1.1933 2022/07/31 00:53:43 - mmengine - INFO - Epoch(train) [52][2340/2505] lr: 5.0000e-06 eta: 4:10:38 time: 0.9265 data_time: 0.0286 memory: 32703 grad_norm: 19.0544 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0049 loss: 1.0049 2022/07/31 00:54:03 - mmengine - INFO - Epoch(train) [52][2360/2505] lr: 5.0000e-06 eta: 4:10:18 time: 0.9912 data_time: 0.0293 memory: 32703 grad_norm: 19.2461 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8357 loss: 0.8357 2022/07/31 00:54:22 - mmengine - INFO - Epoch(train) [52][2380/2505] lr: 5.0000e-06 eta: 4:09:58 time: 0.9562 data_time: 0.0306 memory: 32703 grad_norm: 18.8526 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9087 loss: 0.9087 2022/07/31 00:54:41 - mmengine - INFO - Epoch(train) [52][2400/2505] lr: 5.0000e-06 eta: 4:09:38 time: 0.9350 data_time: 0.0302 memory: 32703 grad_norm: 19.0456 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0149 loss: 1.0149 2022/07/31 00:55:01 - mmengine - INFO - Epoch(train) [52][2420/2505] lr: 5.0000e-06 eta: 4:09:18 time: 1.0197 data_time: 0.0387 memory: 32703 grad_norm: 19.3030 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9770 loss: 0.9770 2022/07/31 00:55:21 - mmengine - INFO - Epoch(train) [52][2440/2505] lr: 5.0000e-06 eta: 4:08:59 time: 0.9648 data_time: 0.0334 memory: 32703 grad_norm: 19.4006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8802 loss: 0.8802 2022/07/31 00:55:41 - mmengine - INFO - Epoch(train) [52][2460/2505] lr: 5.0000e-06 eta: 4:08:39 time: 1.0226 data_time: 0.0432 memory: 32703 grad_norm: 19.9458 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1743 loss: 1.1743 2022/07/31 00:56:00 - mmengine - INFO - Epoch(train) [52][2480/2505] lr: 5.0000e-06 eta: 4:08:19 time: 0.9363 data_time: 0.0771 memory: 32703 grad_norm: 19.7493 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9584 loss: 0.9584 2022/07/31 00:56:18 - mmengine - INFO - Epoch(train) [52][2500/2505] lr: 5.0000e-06 eta: 4:07:59 time: 0.9303 data_time: 0.0779 memory: 32703 grad_norm: 17.9788 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9413 loss: 0.9413 2022/07/31 00:56:21 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 00:56:21 - mmengine - INFO - Epoch(train) [52][2505/2505] lr: 5.0000e-06 eta: 4:07:59 time: 0.7965 data_time: 0.0432 memory: 32703 grad_norm: 18.8338 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9514 loss: 0.9514 2022/07/31 00:56:21 - mmengine - INFO - Saving checkpoint at 52 epochs 2022/07/31 00:56:48 - mmengine - INFO - Epoch(train) [53][20/2505] lr: 5.0000e-06 eta: 4:07:34 time: 1.2523 data_time: 0.6725 memory: 32703 grad_norm: 18.7403 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9626 loss: 0.9626 2022/07/31 00:57:06 - mmengine - INFO - Epoch(train) [53][40/2505] lr: 5.0000e-06 eta: 4:07:14 time: 0.8948 data_time: 0.2702 memory: 32703 grad_norm: 18.8196 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9538 loss: 0.9538 2022/07/31 00:57:27 - mmengine - INFO - Epoch(train) [53][60/2505] lr: 5.0000e-06 eta: 4:06:55 time: 1.0567 data_time: 0.3572 memory: 32703 grad_norm: 18.8271 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9570 loss: 0.9570 2022/07/31 00:57:45 - mmengine - INFO - Epoch(train) [53][80/2505] lr: 5.0000e-06 eta: 4:06:35 time: 0.8812 data_time: 0.2165 memory: 32703 grad_norm: 19.1200 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7912 loss: 0.7912 2022/07/31 00:58:08 - mmengine - INFO - Epoch(train) [53][100/2505] lr: 5.0000e-06 eta: 4:06:15 time: 1.1308 data_time: 0.2668 memory: 32703 grad_norm: 19.4478 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9847 loss: 0.9847 2022/07/31 00:58:25 - mmengine - INFO - Epoch(train) [53][120/2505] lr: 5.0000e-06 eta: 4:05:55 time: 0.8557 data_time: 0.1257 memory: 32703 grad_norm: 19.1670 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9641 loss: 0.9641 2022/07/31 00:58:46 - mmengine - INFO - Epoch(train) [53][140/2505] lr: 5.0000e-06 eta: 4:05:35 time: 1.0812 data_time: 0.1082 memory: 32703 grad_norm: 18.6210 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8285 loss: 0.8285 2022/07/31 00:59:04 - mmengine - INFO - Epoch(train) [53][160/2505] lr: 5.0000e-06 eta: 4:05:15 time: 0.9093 data_time: 0.0309 memory: 32703 grad_norm: 19.2760 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9460 loss: 0.9460 2022/07/31 00:59:26 - mmengine - INFO - Epoch(train) [53][180/2505] lr: 5.0000e-06 eta: 4:04:56 time: 1.0508 data_time: 0.0598 memory: 32703 grad_norm: 20.1917 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9890 loss: 0.9890 2022/07/31 00:59:44 - mmengine - INFO - Epoch(train) [53][200/2505] lr: 5.0000e-06 eta: 4:04:36 time: 0.9071 data_time: 0.0290 memory: 32703 grad_norm: 19.3164 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9636 loss: 0.9636 2022/07/31 01:00:06 - mmengine - INFO - Epoch(train) [53][220/2505] lr: 5.0000e-06 eta: 4:04:16 time: 1.1059 data_time: 0.0283 memory: 32703 grad_norm: 19.2157 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1443 loss: 1.1443 2022/07/31 01:00:24 - mmengine - INFO - Epoch(train) [53][240/2505] lr: 5.0000e-06 eta: 4:03:56 time: 0.9114 data_time: 0.0309 memory: 32703 grad_norm: 19.5222 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1038 loss: 1.1038 2022/07/31 01:00:44 - mmengine - INFO - Epoch(train) [53][260/2505] lr: 5.0000e-06 eta: 4:03:37 time: 1.0194 data_time: 0.0314 memory: 32703 grad_norm: 19.0822 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7979 loss: 0.7979 2022/07/31 01:01:03 - mmengine - INFO - Epoch(train) [53][280/2505] lr: 5.0000e-06 eta: 4:03:17 time: 0.9055 data_time: 0.0272 memory: 32703 grad_norm: 19.7802 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0825 loss: 1.0825 2022/07/31 01:01:24 - mmengine - INFO - Epoch(train) [53][300/2505] lr: 5.0000e-06 eta: 4:02:57 time: 1.0630 data_time: 0.0293 memory: 32703 grad_norm: 18.6606 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7895 loss: 0.7895 2022/07/31 01:01:43 - mmengine - INFO - Epoch(train) [53][320/2505] lr: 5.0000e-06 eta: 4:02:37 time: 0.9686 data_time: 0.0266 memory: 32703 grad_norm: 19.2250 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.9704 loss: 0.9704 2022/07/31 01:02:04 - mmengine - INFO - Epoch(train) [53][340/2505] lr: 5.0000e-06 eta: 4:02:18 time: 1.0533 data_time: 0.0281 memory: 32703 grad_norm: 19.6747 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9186 loss: 0.9186 2022/07/31 01:02:24 - mmengine - INFO - Epoch(train) [53][360/2505] lr: 5.0000e-06 eta: 4:01:58 time: 0.9643 data_time: 0.0289 memory: 32703 grad_norm: 19.5302 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8700 loss: 0.8700 2022/07/31 01:02:43 - mmengine - INFO - Epoch(train) [53][380/2505] lr: 5.0000e-06 eta: 4:01:38 time: 0.9930 data_time: 0.0291 memory: 32703 grad_norm: 18.5973 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0219 loss: 1.0219 2022/07/31 01:03:02 - mmengine - INFO - Epoch(train) [53][400/2505] lr: 5.0000e-06 eta: 4:01:18 time: 0.9284 data_time: 0.0265 memory: 32703 grad_norm: 18.7789 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7205 loss: 0.7205 2022/07/31 01:03:23 - mmengine - INFO - Epoch(train) [53][420/2505] lr: 5.0000e-06 eta: 4:00:58 time: 1.0431 data_time: 0.0274 memory: 32703 grad_norm: 19.1059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9980 loss: 0.9980 2022/07/31 01:03:41 - mmengine - INFO - Epoch(train) [53][440/2505] lr: 5.0000e-06 eta: 4:00:38 time: 0.9094 data_time: 0.0291 memory: 32703 grad_norm: 18.3288 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9933 loss: 0.9933 2022/07/31 01:04:01 - mmengine - INFO - Epoch(train) [53][460/2505] lr: 5.0000e-06 eta: 4:00:19 time: 1.0204 data_time: 0.0404 memory: 32703 grad_norm: 18.8219 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.2107 loss: 1.2107 2022/07/31 01:04:20 - mmengine - INFO - Epoch(train) [53][480/2505] lr: 5.0000e-06 eta: 3:59:59 time: 0.9472 data_time: 0.1250 memory: 32703 grad_norm: 19.9255 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0497 loss: 1.0497 2022/07/31 01:04:41 - mmengine - INFO - Epoch(train) [53][500/2505] lr: 5.0000e-06 eta: 3:59:39 time: 1.0203 data_time: 0.1841 memory: 32703 grad_norm: 18.4276 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 0.9027 loss: 0.9027 2022/07/31 01:05:00 - mmengine - INFO - Epoch(train) [53][520/2505] lr: 5.0000e-06 eta: 3:59:19 time: 0.9330 data_time: 0.2101 memory: 32703 grad_norm: 18.8160 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1136 loss: 1.1136 2022/07/31 01:05:20 - mmengine - INFO - Epoch(train) [53][540/2505] lr: 5.0000e-06 eta: 3:58:59 time: 1.0343 data_time: 0.3689 memory: 32703 grad_norm: 19.0518 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0866 loss: 1.0866 2022/07/31 01:05:38 - mmengine - INFO - Epoch(train) [53][560/2505] lr: 5.0000e-06 eta: 3:58:39 time: 0.9103 data_time: 0.1893 memory: 32703 grad_norm: 18.0591 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0875 loss: 1.0875 2022/07/31 01:06:00 - mmengine - INFO - Epoch(train) [53][580/2505] lr: 5.0000e-06 eta: 3:58:20 time: 1.0649 data_time: 0.3656 memory: 32703 grad_norm: 18.9944 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9134 loss: 0.9134 2022/07/31 01:06:17 - mmengine - INFO - Epoch(train) [53][600/2505] lr: 5.0000e-06 eta: 3:58:00 time: 0.8604 data_time: 0.2219 memory: 32703 grad_norm: 19.0074 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8596 loss: 0.8596 2022/07/31 01:06:38 - mmengine - INFO - Epoch(train) [53][620/2505] lr: 5.0000e-06 eta: 3:57:40 time: 1.0431 data_time: 0.2755 memory: 32703 grad_norm: 19.3512 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9466 loss: 0.9466 2022/07/31 01:06:56 - mmengine - INFO - Epoch(train) [53][640/2505] lr: 5.0000e-06 eta: 3:57:20 time: 0.9026 data_time: 0.1959 memory: 32703 grad_norm: 18.8128 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1683 loss: 1.1683 2022/07/31 01:07:17 - mmengine - INFO - Epoch(train) [53][660/2505] lr: 5.0000e-06 eta: 3:57:00 time: 1.0682 data_time: 0.1704 memory: 32703 grad_norm: 18.8890 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.0240 loss: 1.0240 2022/07/31 01:07:35 - mmengine - INFO - Epoch(train) [53][680/2505] lr: 5.0000e-06 eta: 3:56:40 time: 0.9040 data_time: 0.2147 memory: 32703 grad_norm: 19.1196 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9106 loss: 0.9106 2022/07/31 01:07:57 - mmengine - INFO - Epoch(train) [53][700/2505] lr: 5.0000e-06 eta: 3:56:21 time: 1.0928 data_time: 0.2083 memory: 32703 grad_norm: 19.0979 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9393 loss: 0.9393 2022/07/31 01:08:15 - mmengine - INFO - Epoch(train) [53][720/2505] lr: 5.0000e-06 eta: 3:56:01 time: 0.8640 data_time: 0.1402 memory: 32703 grad_norm: 18.5394 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7606 loss: 0.7606 2022/07/31 01:08:36 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 01:08:36 - mmengine - INFO - Epoch(train) [53][740/2505] lr: 5.0000e-06 eta: 3:55:41 time: 1.0841 data_time: 0.1330 memory: 32703 grad_norm: 18.6106 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9394 loss: 0.9394 2022/07/31 01:08:54 - mmengine - INFO - Epoch(train) [53][760/2505] lr: 5.0000e-06 eta: 3:55:21 time: 0.8712 data_time: 0.0835 memory: 32703 grad_norm: 19.4592 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8657 loss: 0.8657 2022/07/31 01:09:15 - mmengine - INFO - Epoch(train) [53][780/2505] lr: 5.0000e-06 eta: 3:55:01 time: 1.0455 data_time: 0.0463 memory: 32703 grad_norm: 18.8109 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9333 loss: 0.9333 2022/07/31 01:09:34 - mmengine - INFO - Epoch(train) [53][800/2505] lr: 5.0000e-06 eta: 3:54:42 time: 0.9557 data_time: 0.0548 memory: 32703 grad_norm: 19.6072 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8406 loss: 0.8406 2022/07/31 01:09:55 - mmengine - INFO - Epoch(train) [53][820/2505] lr: 5.0000e-06 eta: 3:54:22 time: 1.0411 data_time: 0.1991 memory: 32703 grad_norm: 19.5814 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8732 loss: 0.8732 2022/07/31 01:10:13 - mmengine - INFO - Epoch(train) [53][840/2505] lr: 5.0000e-06 eta: 3:54:02 time: 0.9301 data_time: 0.1894 memory: 32703 grad_norm: 19.3584 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9128 loss: 0.9128 2022/07/31 01:10:34 - mmengine - INFO - Epoch(train) [53][860/2505] lr: 5.0000e-06 eta: 3:53:42 time: 1.0335 data_time: 0.1546 memory: 32703 grad_norm: 19.3525 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0744 loss: 1.0744 2022/07/31 01:10:51 - mmengine - INFO - Epoch(train) [53][880/2505] lr: 5.0000e-06 eta: 3:53:22 time: 0.8783 data_time: 0.0430 memory: 32703 grad_norm: 18.9172 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9002 loss: 0.9002 2022/07/31 01:11:13 - mmengine - INFO - Epoch(train) [53][900/2505] lr: 5.0000e-06 eta: 3:53:03 time: 1.0686 data_time: 0.1352 memory: 32703 grad_norm: 19.5833 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0391 loss: 1.0391 2022/07/31 01:11:31 - mmengine - INFO - Epoch(train) [53][920/2505] lr: 5.0000e-06 eta: 3:52:43 time: 0.9052 data_time: 0.0281 memory: 32703 grad_norm: 19.2988 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9209 loss: 0.9209 2022/07/31 01:11:53 - mmengine - INFO - Epoch(train) [53][940/2505] lr: 5.0000e-06 eta: 3:52:23 time: 1.0804 data_time: 0.0297 memory: 32703 grad_norm: 18.9444 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9908 loss: 0.9908 2022/07/31 01:12:11 - mmengine - INFO - Epoch(train) [53][960/2505] lr: 5.0000e-06 eta: 3:52:03 time: 0.9425 data_time: 0.0264 memory: 32703 grad_norm: 18.3456 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0617 loss: 1.0617 2022/07/31 01:12:32 - mmengine - INFO - Epoch(train) [53][980/2505] lr: 5.0000e-06 eta: 3:51:44 time: 1.0358 data_time: 0.0330 memory: 32703 grad_norm: 19.0974 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0816 loss: 1.0816 2022/07/31 01:12:51 - mmengine - INFO - Epoch(train) [53][1000/2505] lr: 5.0000e-06 eta: 3:51:24 time: 0.9207 data_time: 0.0302 memory: 32703 grad_norm: 18.9811 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1060 loss: 1.1060 2022/07/31 01:13:13 - mmengine - INFO - Epoch(train) [53][1020/2505] lr: 5.0000e-06 eta: 3:51:04 time: 1.0988 data_time: 0.0292 memory: 32703 grad_norm: 18.7631 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1432 loss: 1.1432 2022/07/31 01:13:30 - mmengine - INFO - Epoch(train) [53][1040/2505] lr: 5.0000e-06 eta: 3:50:44 time: 0.8544 data_time: 0.0320 memory: 32703 grad_norm: 19.1969 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9913 loss: 0.9913 2022/07/31 01:13:51 - mmengine - INFO - Epoch(train) [53][1060/2505] lr: 5.0000e-06 eta: 3:50:24 time: 1.0673 data_time: 0.0326 memory: 32703 grad_norm: 18.2725 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7812 loss: 0.7812 2022/07/31 01:14:09 - mmengine - INFO - Epoch(train) [53][1080/2505] lr: 5.0000e-06 eta: 3:50:04 time: 0.8762 data_time: 0.0277 memory: 32703 grad_norm: 19.6598 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0178 loss: 1.0178 2022/07/31 01:14:30 - mmengine - INFO - Epoch(train) [53][1100/2505] lr: 5.0000e-06 eta: 3:49:45 time: 1.0750 data_time: 0.0308 memory: 32703 grad_norm: 19.2352 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8636 loss: 0.8636 2022/07/31 01:14:48 - mmengine - INFO - Epoch(train) [53][1120/2505] lr: 5.0000e-06 eta: 3:49:25 time: 0.9120 data_time: 0.0279 memory: 32703 grad_norm: 19.3974 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8848 loss: 0.8848 2022/07/31 01:15:09 - mmengine - INFO - Epoch(train) [53][1140/2505] lr: 5.0000e-06 eta: 3:49:05 time: 1.0245 data_time: 0.0277 memory: 32703 grad_norm: 19.1832 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6392 loss: 0.6392 2022/07/31 01:15:27 - mmengine - INFO - Epoch(train) [53][1160/2505] lr: 5.0000e-06 eta: 3:48:45 time: 0.9234 data_time: 0.0320 memory: 32703 grad_norm: 19.1237 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8141 loss: 0.8141 2022/07/31 01:15:48 - mmengine - INFO - Epoch(train) [53][1180/2505] lr: 5.0000e-06 eta: 3:48:25 time: 1.0519 data_time: 0.0281 memory: 32703 grad_norm: 18.8621 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9877 loss: 0.9877 2022/07/31 01:16:07 - mmengine - INFO - Epoch(train) [53][1200/2505] lr: 5.0000e-06 eta: 3:48:05 time: 0.9256 data_time: 0.0376 memory: 32703 grad_norm: 18.7591 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0294 loss: 1.0294 2022/07/31 01:16:27 - mmengine - INFO - Epoch(train) [53][1220/2505] lr: 5.0000e-06 eta: 3:47:46 time: 1.0326 data_time: 0.0267 memory: 32703 grad_norm: 18.9540 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8041 loss: 0.8041 2022/07/31 01:16:45 - mmengine - INFO - Epoch(train) [53][1240/2505] lr: 5.0000e-06 eta: 3:47:26 time: 0.8938 data_time: 0.0309 memory: 32703 grad_norm: 19.3258 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8447 loss: 0.8447 2022/07/31 01:17:06 - mmengine - INFO - Epoch(train) [53][1260/2505] lr: 5.0000e-06 eta: 3:47:06 time: 1.0457 data_time: 0.0277 memory: 32703 grad_norm: 19.1933 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8985 loss: 0.8985 2022/07/31 01:17:25 - mmengine - INFO - Epoch(train) [53][1280/2505] lr: 5.0000e-06 eta: 3:46:46 time: 0.9294 data_time: 0.0303 memory: 32703 grad_norm: 18.4942 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8930 loss: 0.8930 2022/07/31 01:17:47 - mmengine - INFO - Epoch(train) [53][1300/2505] lr: 5.0000e-06 eta: 3:46:27 time: 1.0838 data_time: 0.0267 memory: 32703 grad_norm: 19.4857 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0747 loss: 1.0747 2022/07/31 01:18:06 - mmengine - INFO - Epoch(train) [53][1320/2505] lr: 5.0000e-06 eta: 3:46:07 time: 0.9565 data_time: 0.0277 memory: 32703 grad_norm: 19.5961 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7523 loss: 0.7523 2022/07/31 01:18:26 - mmengine - INFO - Epoch(train) [53][1340/2505] lr: 5.0000e-06 eta: 3:45:47 time: 1.0303 data_time: 0.0277 memory: 32703 grad_norm: 18.9223 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9614 loss: 0.9614 2022/07/31 01:18:43 - mmengine - INFO - Epoch(train) [53][1360/2505] lr: 5.0000e-06 eta: 3:45:27 time: 0.8552 data_time: 0.0293 memory: 32703 grad_norm: 19.5019 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0410 loss: 1.0410 2022/07/31 01:19:04 - mmengine - INFO - Epoch(train) [53][1380/2505] lr: 5.0000e-06 eta: 3:45:07 time: 1.0244 data_time: 0.0300 memory: 32703 grad_norm: 18.9846 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0014 loss: 1.0014 2022/07/31 01:19:22 - mmengine - INFO - Epoch(train) [53][1400/2505] lr: 5.0000e-06 eta: 3:44:47 time: 0.9044 data_time: 0.0360 memory: 32703 grad_norm: 19.3512 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9934 loss: 0.9934 2022/07/31 01:19:43 - mmengine - INFO - Epoch(train) [53][1420/2505] lr: 5.0000e-06 eta: 3:44:28 time: 1.0675 data_time: 0.0316 memory: 32703 grad_norm: 19.3471 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8956 loss: 0.8956 2022/07/31 01:20:01 - mmengine - INFO - Epoch(train) [53][1440/2505] lr: 5.0000e-06 eta: 3:44:08 time: 0.9026 data_time: 0.0308 memory: 32703 grad_norm: 18.8450 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0882 loss: 1.0882 2022/07/31 01:20:23 - mmengine - INFO - Epoch(train) [53][1460/2505] lr: 5.0000e-06 eta: 3:43:48 time: 1.0743 data_time: 0.0285 memory: 32703 grad_norm: 18.7559 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9703 loss: 0.9703 2022/07/31 01:20:41 - mmengine - INFO - Epoch(train) [53][1480/2505] lr: 5.0000e-06 eta: 3:43:28 time: 0.9045 data_time: 0.0289 memory: 32703 grad_norm: 18.9186 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9746 loss: 0.9746 2022/07/31 01:21:02 - mmengine - INFO - Epoch(train) [53][1500/2505] lr: 5.0000e-06 eta: 3:43:08 time: 1.0458 data_time: 0.0342 memory: 32703 grad_norm: 19.0380 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0623 loss: 1.0623 2022/07/31 01:21:20 - mmengine - INFO - Epoch(train) [53][1520/2505] lr: 5.0000e-06 eta: 3:42:48 time: 0.8900 data_time: 0.0262 memory: 32703 grad_norm: 19.2069 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9306 loss: 0.9306 2022/07/31 01:21:41 - mmengine - INFO - Epoch(train) [53][1540/2505] lr: 5.0000e-06 eta: 3:42:29 time: 1.0499 data_time: 0.0275 memory: 32703 grad_norm: 18.6671 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8873 loss: 0.8873 2022/07/31 01:21:58 - mmengine - INFO - Epoch(train) [53][1560/2505] lr: 5.0000e-06 eta: 3:42:09 time: 0.8457 data_time: 0.0332 memory: 32703 grad_norm: 18.9238 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9784 loss: 0.9784 2022/07/31 01:22:19 - mmengine - INFO - Epoch(train) [53][1580/2505] lr: 5.0000e-06 eta: 3:41:49 time: 1.0731 data_time: 0.0296 memory: 32703 grad_norm: 18.8528 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0602 loss: 1.0602 2022/07/31 01:22:37 - mmengine - INFO - Epoch(train) [53][1600/2505] lr: 5.0000e-06 eta: 3:41:29 time: 0.8810 data_time: 0.0319 memory: 32703 grad_norm: 19.1725 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8858 loss: 0.8858 2022/07/31 01:22:57 - mmengine - INFO - Epoch(train) [53][1620/2505] lr: 5.0000e-06 eta: 3:41:09 time: 1.0087 data_time: 0.0276 memory: 32703 grad_norm: 18.9955 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 0.8855 loss: 0.8855 2022/07/31 01:23:16 - mmengine - INFO - Epoch(train) [53][1640/2505] lr: 5.0000e-06 eta: 3:40:49 time: 0.9303 data_time: 0.0332 memory: 32703 grad_norm: 18.9298 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9841 loss: 0.9841 2022/07/31 01:23:37 - mmengine - INFO - Epoch(train) [53][1660/2505] lr: 5.0000e-06 eta: 3:40:30 time: 1.0658 data_time: 0.0266 memory: 32703 grad_norm: 19.1435 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1215 loss: 1.1215 2022/07/31 01:23:55 - mmengine - INFO - Epoch(train) [53][1680/2505] lr: 5.0000e-06 eta: 3:40:10 time: 0.8858 data_time: 0.0290 memory: 32703 grad_norm: 19.3587 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9290 loss: 0.9290 2022/07/31 01:24:15 - mmengine - INFO - Epoch(train) [53][1700/2505] lr: 5.0000e-06 eta: 3:39:50 time: 1.0223 data_time: 0.0300 memory: 32703 grad_norm: 19.2008 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1565 loss: 1.1565 2022/07/31 01:24:33 - mmengine - INFO - Epoch(train) [53][1720/2505] lr: 5.0000e-06 eta: 3:39:30 time: 0.9159 data_time: 0.0276 memory: 32703 grad_norm: 19.8106 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0327 loss: 1.0327 2022/07/31 01:24:55 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 01:24:55 - mmengine - INFO - Epoch(train) [53][1740/2505] lr: 5.0000e-06 eta: 3:39:10 time: 1.0783 data_time: 0.0274 memory: 32703 grad_norm: 18.4737 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9800 loss: 0.9800 2022/07/31 01:25:13 - mmengine - INFO - Epoch(train) [53][1760/2505] lr: 5.0000e-06 eta: 3:38:51 time: 0.9225 data_time: 0.0276 memory: 32703 grad_norm: 19.4368 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9451 loss: 0.9451 2022/07/31 01:25:36 - mmengine - INFO - Epoch(train) [53][1780/2505] lr: 5.0000e-06 eta: 3:38:31 time: 1.1096 data_time: 0.0287 memory: 32703 grad_norm: 18.5410 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8557 loss: 0.8557 2022/07/31 01:25:53 - mmengine - INFO - Epoch(train) [53][1800/2505] lr: 5.0000e-06 eta: 3:38:11 time: 0.8811 data_time: 0.0325 memory: 32703 grad_norm: 18.3386 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0163 loss: 1.0163 2022/07/31 01:26:15 - mmengine - INFO - Epoch(train) [53][1820/2505] lr: 5.0000e-06 eta: 3:37:51 time: 1.0964 data_time: 0.0282 memory: 32703 grad_norm: 19.8697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2295 loss: 1.2295 2022/07/31 01:26:33 - mmengine - INFO - Epoch(train) [53][1840/2505] lr: 5.0000e-06 eta: 3:37:31 time: 0.8896 data_time: 0.0285 memory: 32703 grad_norm: 19.8908 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9784 loss: 0.9784 2022/07/31 01:26:54 - mmengine - INFO - Epoch(train) [53][1860/2505] lr: 5.0000e-06 eta: 3:37:12 time: 1.0634 data_time: 0.0313 memory: 32703 grad_norm: 18.8876 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8994 loss: 0.8994 2022/07/31 01:27:12 - mmengine - INFO - Epoch(train) [53][1880/2505] lr: 5.0000e-06 eta: 3:36:52 time: 0.8904 data_time: 0.0311 memory: 32703 grad_norm: 19.6145 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0454 loss: 1.0454 2022/07/31 01:27:33 - mmengine - INFO - Epoch(train) [53][1900/2505] lr: 5.0000e-06 eta: 3:36:32 time: 1.0661 data_time: 0.0325 memory: 32703 grad_norm: 19.3968 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9293 loss: 0.9293 2022/07/31 01:27:52 - mmengine - INFO - Epoch(train) [53][1920/2505] lr: 5.0000e-06 eta: 3:36:12 time: 0.9097 data_time: 0.0305 memory: 32703 grad_norm: 19.3976 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9101 loss: 0.9101 2022/07/31 01:28:12 - mmengine - INFO - Epoch(train) [53][1940/2505] lr: 5.0000e-06 eta: 3:35:52 time: 1.0410 data_time: 0.0296 memory: 32703 grad_norm: 19.1795 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0054 loss: 1.0054 2022/07/31 01:28:31 - mmengine - INFO - Epoch(train) [53][1960/2505] lr: 5.0000e-06 eta: 3:35:33 time: 0.9058 data_time: 0.0263 memory: 32703 grad_norm: 18.8841 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.8878 loss: 0.8878 2022/07/31 01:28:52 - mmengine - INFO - Epoch(train) [53][1980/2505] lr: 5.0000e-06 eta: 3:35:13 time: 1.0599 data_time: 0.0311 memory: 32703 grad_norm: 19.6408 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0561 loss: 1.0561 2022/07/31 01:29:10 - mmengine - INFO - Epoch(train) [53][2000/2505] lr: 5.0000e-06 eta: 3:34:53 time: 0.9057 data_time: 0.0308 memory: 32703 grad_norm: 20.7605 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8739 loss: 0.8739 2022/07/31 01:29:32 - mmengine - INFO - Epoch(train) [53][2020/2505] lr: 5.0000e-06 eta: 3:34:33 time: 1.0950 data_time: 0.0279 memory: 32703 grad_norm: 19.5930 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0267 loss: 1.0267 2022/07/31 01:29:48 - mmengine - INFO - Epoch(train) [53][2040/2505] lr: 5.0000e-06 eta: 3:34:13 time: 0.8084 data_time: 0.0281 memory: 32703 grad_norm: 19.7734 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2718 loss: 1.2718 2022/07/31 01:30:10 - mmengine - INFO - Epoch(train) [53][2060/2505] lr: 5.0000e-06 eta: 3:33:54 time: 1.1046 data_time: 0.0327 memory: 32703 grad_norm: 18.9914 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8803 loss: 0.8803 2022/07/31 01:30:28 - mmengine - INFO - Epoch(train) [53][2080/2505] lr: 5.0000e-06 eta: 3:33:34 time: 0.8778 data_time: 0.0265 memory: 32703 grad_norm: 18.8584 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9793 loss: 0.9793 2022/07/31 01:30:49 - mmengine - INFO - Epoch(train) [53][2100/2505] lr: 5.0000e-06 eta: 3:33:14 time: 1.0396 data_time: 0.0292 memory: 32703 grad_norm: 19.3962 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9533 loss: 0.9533 2022/07/31 01:31:07 - mmengine - INFO - Epoch(train) [53][2120/2505] lr: 5.0000e-06 eta: 3:32:54 time: 0.9179 data_time: 0.0325 memory: 32703 grad_norm: 18.6655 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9287 loss: 0.9287 2022/07/31 01:31:28 - mmengine - INFO - Epoch(train) [53][2140/2505] lr: 5.0000e-06 eta: 3:32:34 time: 1.0736 data_time: 0.0282 memory: 32703 grad_norm: 19.6141 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1475 loss: 1.1475 2022/07/31 01:31:47 - mmengine - INFO - Epoch(train) [53][2160/2505] lr: 5.0000e-06 eta: 3:32:14 time: 0.9100 data_time: 0.0360 memory: 32703 grad_norm: 18.8351 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0366 loss: 1.0366 2022/07/31 01:32:08 - mmengine - INFO - Epoch(train) [53][2180/2505] lr: 5.0000e-06 eta: 3:31:55 time: 1.0453 data_time: 0.0267 memory: 32703 grad_norm: 18.6891 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9137 loss: 0.9137 2022/07/31 01:32:26 - mmengine - INFO - Epoch(train) [53][2200/2505] lr: 5.0000e-06 eta: 3:31:35 time: 0.9075 data_time: 0.0353 memory: 32703 grad_norm: 18.4308 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9412 loss: 0.9412 2022/07/31 01:32:47 - mmengine - INFO - Epoch(train) [53][2220/2505] lr: 5.0000e-06 eta: 3:31:15 time: 1.0648 data_time: 0.0273 memory: 32703 grad_norm: 20.1854 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0126 loss: 1.0126 2022/07/31 01:33:05 - mmengine - INFO - Epoch(train) [53][2240/2505] lr: 5.0000e-06 eta: 3:30:55 time: 0.8913 data_time: 0.0265 memory: 32703 grad_norm: 20.2112 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9376 loss: 0.9376 2022/07/31 01:33:25 - mmengine - INFO - Epoch(train) [53][2260/2505] lr: 5.0000e-06 eta: 3:30:35 time: 1.0195 data_time: 0.0366 memory: 32703 grad_norm: 19.3565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9987 loss: 0.9987 2022/07/31 01:33:43 - mmengine - INFO - Epoch(train) [53][2280/2505] lr: 5.0000e-06 eta: 3:30:15 time: 0.8922 data_time: 0.0316 memory: 32703 grad_norm: 20.1114 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1055 loss: 1.1055 2022/07/31 01:34:03 - mmengine - INFO - Epoch(train) [53][2300/2505] lr: 5.0000e-06 eta: 3:29:56 time: 1.0178 data_time: 0.0309 memory: 32703 grad_norm: 18.5199 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8619 loss: 0.8619 2022/07/31 01:34:22 - mmengine - INFO - Epoch(train) [53][2320/2505] lr: 5.0000e-06 eta: 3:29:36 time: 0.9261 data_time: 0.0339 memory: 32703 grad_norm: 19.1204 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0265 loss: 1.0265 2022/07/31 01:34:44 - mmengine - INFO - Epoch(train) [53][2340/2505] lr: 5.0000e-06 eta: 3:29:16 time: 1.0822 data_time: 0.0274 memory: 32703 grad_norm: 18.9100 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9121 loss: 0.9121 2022/07/31 01:35:01 - mmengine - INFO - Epoch(train) [53][2360/2505] lr: 5.0000e-06 eta: 3:28:56 time: 0.8700 data_time: 0.0317 memory: 32703 grad_norm: 18.8516 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.9563 loss: 0.9563 2022/07/31 01:35:22 - mmengine - INFO - Epoch(train) [53][2380/2505] lr: 5.0000e-06 eta: 3:28:37 time: 1.0515 data_time: 0.0389 memory: 32703 grad_norm: 19.8566 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0176 loss: 1.0176 2022/07/31 01:35:41 - mmengine - INFO - Epoch(train) [53][2400/2505] lr: 5.0000e-06 eta: 3:28:17 time: 0.9378 data_time: 0.0332 memory: 32703 grad_norm: 18.5050 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8617 loss: 0.8617 2022/07/31 01:36:02 - mmengine - INFO - Epoch(train) [53][2420/2505] lr: 5.0000e-06 eta: 3:27:57 time: 1.0682 data_time: 0.0268 memory: 32703 grad_norm: 19.4627 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0164 loss: 1.0164 2022/07/31 01:36:20 - mmengine - INFO - Epoch(train) [53][2440/2505] lr: 5.0000e-06 eta: 3:27:37 time: 0.8970 data_time: 0.0271 memory: 32703 grad_norm: 19.5126 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0461 loss: 1.0461 2022/07/31 01:36:41 - mmengine - INFO - Epoch(train) [53][2460/2505] lr: 5.0000e-06 eta: 3:27:17 time: 1.0611 data_time: 0.0305 memory: 32703 grad_norm: 19.2454 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9642 loss: 0.9642 2022/07/31 01:36:59 - mmengine - INFO - Epoch(train) [53][2480/2505] lr: 5.0000e-06 eta: 3:26:57 time: 0.9068 data_time: 0.0323 memory: 32703 grad_norm: 18.6191 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0113 loss: 1.0113 2022/07/31 01:37:17 - mmengine - INFO - Epoch(train) [53][2500/2505] lr: 5.0000e-06 eta: 3:26:37 time: 0.9013 data_time: 0.0271 memory: 32703 grad_norm: 19.5196 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0023 loss: 1.0023 2022/07/31 01:37:20 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 01:37:20 - mmengine - INFO - Epoch(train) [53][2505/2505] lr: 5.0000e-06 eta: 3:26:37 time: 0.7423 data_time: 0.0188 memory: 32703 grad_norm: 19.1194 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9712 loss: 0.9712 2022/07/31 01:37:47 - mmengine - INFO - Epoch(train) [54][20/2505] lr: 5.0000e-06 eta: 3:26:13 time: 1.3118 data_time: 0.5288 memory: 32703 grad_norm: 19.0261 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7640 loss: 0.7640 2022/07/31 01:38:05 - mmengine - INFO - Epoch(train) [54][40/2505] lr: 5.0000e-06 eta: 3:25:53 time: 0.9099 data_time: 0.1449 memory: 32703 grad_norm: 19.0907 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9127 loss: 0.9127 2022/07/31 01:38:27 - mmengine - INFO - Epoch(train) [54][60/2505] lr: 5.0000e-06 eta: 3:25:33 time: 1.1126 data_time: 0.0853 memory: 32703 grad_norm: 19.2625 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9034 loss: 0.9034 2022/07/31 01:38:45 - mmengine - INFO - Epoch(train) [54][80/2505] lr: 5.0000e-06 eta: 3:25:13 time: 0.8942 data_time: 0.0599 memory: 32703 grad_norm: 19.3628 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9930 loss: 0.9930 2022/07/31 01:39:06 - mmengine - INFO - Epoch(train) [54][100/2505] lr: 5.0000e-06 eta: 3:24:54 time: 1.0552 data_time: 0.0925 memory: 32703 grad_norm: 18.9557 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 0.9846 loss: 0.9846 2022/07/31 01:39:26 - mmengine - INFO - Epoch(train) [54][120/2505] lr: 5.0000e-06 eta: 3:24:34 time: 0.9721 data_time: 0.0530 memory: 32703 grad_norm: 18.2765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0520 loss: 1.0520 2022/07/31 01:39:48 - mmengine - INFO - Epoch(train) [54][140/2505] lr: 5.0000e-06 eta: 3:24:14 time: 1.1094 data_time: 0.0330 memory: 32703 grad_norm: 18.5704 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8917 loss: 0.8917 2022/07/31 01:40:07 - mmengine - INFO - Epoch(train) [54][160/2505] lr: 5.0000e-06 eta: 3:23:54 time: 0.9502 data_time: 0.0308 memory: 32703 grad_norm: 19.3335 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9186 loss: 0.9186 2022/07/31 01:40:29 - mmengine - INFO - Epoch(train) [54][180/2505] lr: 5.0000e-06 eta: 3:23:35 time: 1.0838 data_time: 0.0269 memory: 32703 grad_norm: 18.8983 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 0.9651 loss: 0.9651 2022/07/31 01:40:46 - mmengine - INFO - Epoch(train) [54][200/2505] lr: 5.0000e-06 eta: 3:23:15 time: 0.8924 data_time: 0.0326 memory: 32703 grad_norm: 19.2592 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9445 loss: 0.9445 2022/07/31 01:41:08 - mmengine - INFO - Epoch(train) [54][220/2505] lr: 5.0000e-06 eta: 3:22:55 time: 1.0680 data_time: 0.0269 memory: 32703 grad_norm: 19.2001 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.8430 loss: 0.8430 2022/07/31 01:41:20 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 01:41:25 - mmengine - INFO - Epoch(train) [54][240/2505] lr: 5.0000e-06 eta: 3:22:35 time: 0.8834 data_time: 0.0282 memory: 32703 grad_norm: 18.4106 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9990 loss: 0.9990 2022/07/31 01:41:45 - mmengine - INFO - Epoch(train) [54][260/2505] lr: 5.0000e-06 eta: 3:22:16 time: 1.0037 data_time: 0.0256 memory: 32703 grad_norm: 18.4669 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0241 loss: 1.0241 2022/07/31 01:42:04 - mmengine - INFO - Epoch(train) [54][280/2505] lr: 5.0000e-06 eta: 3:21:56 time: 0.9168 data_time: 0.0263 memory: 32703 grad_norm: 20.0206 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.6995 loss: 0.6995 2022/07/31 01:42:24 - mmengine - INFO - Epoch(train) [54][300/2505] lr: 5.0000e-06 eta: 3:21:36 time: 1.0173 data_time: 0.0278 memory: 32703 grad_norm: 20.0993 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.2110 loss: 1.2110 2022/07/31 01:42:46 - mmengine - INFO - Epoch(train) [54][320/2505] lr: 5.0000e-06 eta: 3:21:16 time: 1.1029 data_time: 0.0329 memory: 32703 grad_norm: 17.7578 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8549 loss: 0.8549 2022/07/31 01:43:04 - mmengine - INFO - Epoch(train) [54][340/2505] lr: 5.0000e-06 eta: 3:20:56 time: 0.8890 data_time: 0.0396 memory: 32703 grad_norm: 19.8985 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9763 loss: 0.9763 2022/07/31 01:43:24 - mmengine - INFO - Epoch(train) [54][360/2505] lr: 5.0000e-06 eta: 3:20:37 time: 1.0030 data_time: 0.0263 memory: 32703 grad_norm: 20.7285 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9859 loss: 0.9859 2022/07/31 01:43:43 - mmengine - INFO - Epoch(train) [54][380/2505] lr: 5.0000e-06 eta: 3:20:17 time: 0.9447 data_time: 0.0300 memory: 32703 grad_norm: 19.0079 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8566 loss: 0.8566 2022/07/31 01:44:06 - mmengine - INFO - Epoch(train) [54][400/2505] lr: 5.0000e-06 eta: 3:19:57 time: 1.1237 data_time: 0.0344 memory: 32703 grad_norm: 19.2459 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1117 loss: 1.1117 2022/07/31 01:44:22 - mmengine - INFO - Epoch(train) [54][420/2505] lr: 5.0000e-06 eta: 3:19:37 time: 0.8322 data_time: 0.0265 memory: 32703 grad_norm: 18.9322 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0430 loss: 1.0430 2022/07/31 01:44:43 - mmengine - INFO - Epoch(train) [54][440/2505] lr: 5.0000e-06 eta: 3:19:17 time: 1.0270 data_time: 0.0356 memory: 32703 grad_norm: 19.4371 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7549 loss: 0.7549 2022/07/31 01:45:01 - mmengine - INFO - Epoch(train) [54][460/2505] lr: 5.0000e-06 eta: 3:18:57 time: 0.9081 data_time: 0.0277 memory: 32703 grad_norm: 19.0845 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9678 loss: 0.9678 2022/07/31 01:45:22 - mmengine - INFO - Epoch(train) [54][480/2505] lr: 5.0000e-06 eta: 3:18:38 time: 1.0723 data_time: 0.0297 memory: 32703 grad_norm: 20.3902 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0508 loss: 1.0508 2022/07/31 01:45:41 - mmengine - INFO - Epoch(train) [54][500/2505] lr: 5.0000e-06 eta: 3:18:18 time: 0.9441 data_time: 0.0292 memory: 32703 grad_norm: 19.1936 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9465 loss: 0.9465 2022/07/31 01:46:03 - mmengine - INFO - Epoch(train) [54][520/2505] lr: 5.0000e-06 eta: 3:17:58 time: 1.0757 data_time: 0.0275 memory: 32703 grad_norm: 19.2650 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.1372 loss: 1.1372 2022/07/31 01:46:20 - mmengine - INFO - Epoch(train) [54][540/2505] lr: 5.0000e-06 eta: 3:17:38 time: 0.8510 data_time: 0.0269 memory: 32703 grad_norm: 19.1865 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0620 loss: 1.0620 2022/07/31 01:46:41 - mmengine - INFO - Epoch(train) [54][560/2505] lr: 5.0000e-06 eta: 3:17:19 time: 1.0847 data_time: 0.0302 memory: 32703 grad_norm: 18.7042 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0949 loss: 1.0949 2022/07/31 01:46:59 - mmengine - INFO - Epoch(train) [54][580/2505] lr: 5.0000e-06 eta: 3:16:59 time: 0.8839 data_time: 0.0284 memory: 32703 grad_norm: 18.9483 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8138 loss: 0.8138 2022/07/31 01:47:21 - mmengine - INFO - Epoch(train) [54][600/2505] lr: 5.0000e-06 eta: 3:16:39 time: 1.0879 data_time: 0.0281 memory: 32703 grad_norm: 19.6936 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9637 loss: 0.9637 2022/07/31 01:47:39 - mmengine - INFO - Epoch(train) [54][620/2505] lr: 5.0000e-06 eta: 3:16:19 time: 0.8833 data_time: 0.0293 memory: 32703 grad_norm: 18.8519 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1374 loss: 1.1374 2022/07/31 01:48:00 - mmengine - INFO - Epoch(train) [54][640/2505] lr: 5.0000e-06 eta: 3:15:59 time: 1.0554 data_time: 0.0272 memory: 32703 grad_norm: 19.2559 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9655 loss: 0.9655 2022/07/31 01:48:17 - mmengine - INFO - Epoch(train) [54][660/2505] lr: 5.0000e-06 eta: 3:15:39 time: 0.8784 data_time: 0.0318 memory: 32703 grad_norm: 19.2192 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0466 loss: 1.0466 2022/07/31 01:48:37 - mmengine - INFO - Epoch(train) [54][680/2505] lr: 5.0000e-06 eta: 3:15:20 time: 1.0039 data_time: 0.0273 memory: 32703 grad_norm: 19.4344 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0282 loss: 1.0282 2022/07/31 01:48:56 - mmengine - INFO - Epoch(train) [54][700/2505] lr: 5.0000e-06 eta: 3:15:00 time: 0.9224 data_time: 0.0259 memory: 32703 grad_norm: 18.3793 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.5922 loss: 0.5922 2022/07/31 01:49:17 - mmengine - INFO - Epoch(train) [54][720/2505] lr: 5.0000e-06 eta: 3:14:40 time: 1.0688 data_time: 0.0282 memory: 32703 grad_norm: 19.3177 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.8190 loss: 0.8190 2022/07/31 01:49:35 - mmengine - INFO - Epoch(train) [54][740/2505] lr: 5.0000e-06 eta: 3:14:20 time: 0.8805 data_time: 0.0282 memory: 32703 grad_norm: 20.0733 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.4287 loss: 1.4287 2022/07/31 01:49:56 - mmengine - INFO - Epoch(train) [54][760/2505] lr: 5.0000e-06 eta: 3:14:00 time: 1.0399 data_time: 0.0275 memory: 32703 grad_norm: 18.7634 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8482 loss: 0.8482 2022/07/31 01:50:14 - mmengine - INFO - Epoch(train) [54][780/2505] lr: 5.0000e-06 eta: 3:13:40 time: 0.9381 data_time: 0.0285 memory: 32703 grad_norm: 19.3980 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9786 loss: 0.9786 2022/07/31 01:50:35 - mmengine - INFO - Epoch(train) [54][800/2505] lr: 5.0000e-06 eta: 3:13:21 time: 1.0307 data_time: 0.0272 memory: 32703 grad_norm: 19.7531 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9816 loss: 0.9816 2022/07/31 01:50:54 - mmengine - INFO - Epoch(train) [54][820/2505] lr: 5.0000e-06 eta: 3:13:01 time: 0.9377 data_time: 0.0271 memory: 32703 grad_norm: 19.6301 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7203 loss: 0.7203 2022/07/31 01:51:16 - mmengine - INFO - Epoch(train) [54][840/2505] lr: 5.0000e-06 eta: 3:12:41 time: 1.1138 data_time: 0.0280 memory: 32703 grad_norm: 18.9865 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8668 loss: 0.8668 2022/07/31 01:51:34 - mmengine - INFO - Epoch(train) [54][860/2505] lr: 5.0000e-06 eta: 3:12:21 time: 0.8805 data_time: 0.0302 memory: 32703 grad_norm: 18.7539 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0199 loss: 1.0199 2022/07/31 01:51:55 - mmengine - INFO - Epoch(train) [54][880/2505] lr: 5.0000e-06 eta: 3:12:02 time: 1.0583 data_time: 0.0286 memory: 32703 grad_norm: 19.3384 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0455 loss: 1.0455 2022/07/31 01:52:13 - mmengine - INFO - Epoch(train) [54][900/2505] lr: 5.0000e-06 eta: 3:11:42 time: 0.9105 data_time: 0.0294 memory: 32703 grad_norm: 18.9180 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9808 loss: 0.9808 2022/07/31 01:52:35 - mmengine - INFO - Epoch(train) [54][920/2505] lr: 5.0000e-06 eta: 3:11:22 time: 1.0820 data_time: 0.0267 memory: 32703 grad_norm: 18.9665 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0520 loss: 1.0520 2022/07/31 01:52:52 - mmengine - INFO - Epoch(train) [54][940/2505] lr: 5.0000e-06 eta: 3:11:02 time: 0.8836 data_time: 0.0290 memory: 32703 grad_norm: 19.4106 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9203 loss: 0.9203 2022/07/31 01:53:14 - mmengine - INFO - Epoch(train) [54][960/2505] lr: 5.0000e-06 eta: 3:10:42 time: 1.0577 data_time: 0.0281 memory: 32703 grad_norm: 19.0931 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8526 loss: 0.8526 2022/07/31 01:53:30 - mmengine - INFO - Epoch(train) [54][980/2505] lr: 5.0000e-06 eta: 3:10:22 time: 0.8160 data_time: 0.0255 memory: 32703 grad_norm: 18.7308 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8293 loss: 0.8293 2022/07/31 01:53:51 - mmengine - INFO - Epoch(train) [54][1000/2505] lr: 5.0000e-06 eta: 3:10:03 time: 1.0510 data_time: 0.0283 memory: 32703 grad_norm: 19.2383 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8957 loss: 0.8957 2022/07/31 01:54:09 - mmengine - INFO - Epoch(train) [54][1020/2505] lr: 5.0000e-06 eta: 3:09:43 time: 0.8967 data_time: 0.0287 memory: 32703 grad_norm: 18.9879 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9422 loss: 0.9422 2022/07/31 01:54:30 - mmengine - INFO - Epoch(train) [54][1040/2505] lr: 5.0000e-06 eta: 3:09:23 time: 1.0411 data_time: 0.0258 memory: 32703 grad_norm: 18.8057 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1370 loss: 1.1370 2022/07/31 01:54:47 - mmengine - INFO - Epoch(train) [54][1060/2505] lr: 5.0000e-06 eta: 3:09:03 time: 0.8525 data_time: 0.0390 memory: 32703 grad_norm: 19.4554 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0114 loss: 1.0114 2022/07/31 01:55:08 - mmengine - INFO - Epoch(train) [54][1080/2505] lr: 5.0000e-06 eta: 3:08:43 time: 1.0573 data_time: 0.1149 memory: 32703 grad_norm: 19.0581 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0615 loss: 1.0615 2022/07/31 01:55:27 - mmengine - INFO - Epoch(train) [54][1100/2505] lr: 5.0000e-06 eta: 3:08:23 time: 0.9378 data_time: 0.1327 memory: 32703 grad_norm: 19.4927 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9717 loss: 0.9717 2022/07/31 01:55:49 - mmengine - INFO - Epoch(train) [54][1120/2505] lr: 5.0000e-06 eta: 3:08:04 time: 1.1117 data_time: 0.0626 memory: 32703 grad_norm: 19.0657 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.1271 loss: 1.1271 2022/07/31 01:56:07 - mmengine - INFO - Epoch(train) [54][1140/2505] lr: 5.0000e-06 eta: 3:07:44 time: 0.9245 data_time: 0.0530 memory: 32703 grad_norm: 19.3141 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8710 loss: 0.8710 2022/07/31 01:56:27 - mmengine - INFO - Epoch(train) [54][1160/2505] lr: 5.0000e-06 eta: 3:07:24 time: 0.9719 data_time: 0.0288 memory: 32703 grad_norm: 20.0140 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9148 loss: 0.9148 2022/07/31 01:56:47 - mmengine - INFO - Epoch(train) [54][1180/2505] lr: 5.0000e-06 eta: 3:07:04 time: 1.0184 data_time: 0.0290 memory: 32703 grad_norm: 18.8771 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0139 loss: 1.0139 2022/07/31 01:57:07 - mmengine - INFO - Epoch(train) [54][1200/2505] lr: 5.0000e-06 eta: 3:06:45 time: 0.9834 data_time: 0.0357 memory: 32703 grad_norm: 19.3630 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9384 loss: 0.9384 2022/07/31 01:57:26 - mmengine - INFO - Epoch(train) [54][1220/2505] lr: 5.0000e-06 eta: 3:06:25 time: 0.9327 data_time: 0.0266 memory: 32703 grad_norm: 18.9646 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8801 loss: 0.8801 2022/07/31 01:57:41 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 01:57:47 - mmengine - INFO - Epoch(train) [54][1240/2505] lr: 5.0000e-06 eta: 3:06:05 time: 1.0549 data_time: 0.0354 memory: 32703 grad_norm: 18.4136 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7410 loss: 0.7410 2022/07/31 01:58:06 - mmengine - INFO - Epoch(train) [54][1260/2505] lr: 5.0000e-06 eta: 3:05:45 time: 0.9582 data_time: 0.0248 memory: 32703 grad_norm: 18.9883 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1757 loss: 1.1757 2022/07/31 01:58:26 - mmengine - INFO - Epoch(train) [54][1280/2505] lr: 5.0000e-06 eta: 3:05:25 time: 1.0179 data_time: 0.0417 memory: 32703 grad_norm: 19.2397 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8726 loss: 0.8726 2022/07/31 01:58:45 - mmengine - INFO - Epoch(train) [54][1300/2505] lr: 5.0000e-06 eta: 3:05:06 time: 0.9226 data_time: 0.0295 memory: 32703 grad_norm: 19.7765 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8767 loss: 0.8767 2022/07/31 01:59:06 - mmengine - INFO - Epoch(train) [54][1320/2505] lr: 5.0000e-06 eta: 3:04:46 time: 1.0378 data_time: 0.0293 memory: 32703 grad_norm: 18.6759 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9875 loss: 0.9875 2022/07/31 01:59:24 - mmengine - INFO - Epoch(train) [54][1340/2505] lr: 5.0000e-06 eta: 3:04:26 time: 0.8952 data_time: 0.0293 memory: 32703 grad_norm: 18.6638 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0891 loss: 1.0891 2022/07/31 01:59:44 - mmengine - INFO - Epoch(train) [54][1360/2505] lr: 5.0000e-06 eta: 3:04:06 time: 1.0295 data_time: 0.0299 memory: 32703 grad_norm: 19.7377 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0314 loss: 1.0314 2022/07/31 02:00:03 - mmengine - INFO - Epoch(train) [54][1380/2505] lr: 5.0000e-06 eta: 3:03:46 time: 0.9355 data_time: 0.0295 memory: 32703 grad_norm: 20.1622 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.8462 loss: 0.8462 2022/07/31 02:00:24 - mmengine - INFO - Epoch(train) [54][1400/2505] lr: 5.0000e-06 eta: 3:03:27 time: 1.0854 data_time: 0.0298 memory: 32703 grad_norm: 19.3392 top1_acc: 0.4167 top5_acc: 0.7500 loss_cls: 1.0651 loss: 1.0651 2022/07/31 02:00:40 - mmengine - INFO - Epoch(train) [54][1420/2505] lr: 5.0000e-06 eta: 3:03:07 time: 0.7893 data_time: 0.0295 memory: 32703 grad_norm: 18.8723 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8428 loss: 0.8428 2022/07/31 02:01:00 - mmengine - INFO - Epoch(train) [54][1440/2505] lr: 5.0000e-06 eta: 3:02:47 time: 1.0063 data_time: 0.0313 memory: 32703 grad_norm: 19.0198 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9149 loss: 0.9149 2022/07/31 02:01:20 - mmengine - INFO - Epoch(train) [54][1460/2505] lr: 5.0000e-06 eta: 3:02:27 time: 1.0012 data_time: 0.0295 memory: 32703 grad_norm: 19.1031 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0116 loss: 1.0116 2022/07/31 02:01:39 - mmengine - INFO - Epoch(train) [54][1480/2505] lr: 5.0000e-06 eta: 3:02:07 time: 0.9281 data_time: 0.0279 memory: 32703 grad_norm: 19.4429 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9344 loss: 0.9344 2022/07/31 02:01:59 - mmengine - INFO - Epoch(train) [54][1500/2505] lr: 5.0000e-06 eta: 3:01:47 time: 1.0149 data_time: 0.0265 memory: 32703 grad_norm: 18.9529 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9771 loss: 0.9771 2022/07/31 02:02:18 - mmengine - INFO - Epoch(train) [54][1520/2505] lr: 5.0000e-06 eta: 3:01:28 time: 0.9260 data_time: 0.0280 memory: 32703 grad_norm: 18.4661 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0546 loss: 1.0546 2022/07/31 02:02:39 - mmengine - INFO - Epoch(train) [54][1540/2505] lr: 5.0000e-06 eta: 3:01:08 time: 1.0815 data_time: 0.0280 memory: 32703 grad_norm: 19.0837 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0395 loss: 1.0395 2022/07/31 02:02:58 - mmengine - INFO - Epoch(train) [54][1560/2505] lr: 5.0000e-06 eta: 3:00:48 time: 0.9341 data_time: 0.0281 memory: 32703 grad_norm: 18.9869 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9524 loss: 0.9524 2022/07/31 02:03:19 - mmengine - INFO - Epoch(train) [54][1580/2505] lr: 5.0000e-06 eta: 3:00:28 time: 1.0347 data_time: 0.0270 memory: 32703 grad_norm: 19.8283 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 0.8998 loss: 0.8998 2022/07/31 02:03:37 - mmengine - INFO - Epoch(train) [54][1600/2505] lr: 5.0000e-06 eta: 3:00:08 time: 0.9053 data_time: 0.0287 memory: 32703 grad_norm: 18.7649 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8635 loss: 0.8635 2022/07/31 02:03:58 - mmengine - INFO - Epoch(train) [54][1620/2505] lr: 5.0000e-06 eta: 2:59:49 time: 1.0390 data_time: 0.0272 memory: 32703 grad_norm: 19.3704 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9813 loss: 0.9813 2022/07/31 02:04:17 - mmengine - INFO - Epoch(train) [54][1640/2505] lr: 5.0000e-06 eta: 2:59:29 time: 0.9500 data_time: 0.0271 memory: 32703 grad_norm: 20.2762 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9171 loss: 0.9171 2022/07/31 02:04:37 - mmengine - INFO - Epoch(train) [54][1660/2505] lr: 5.0000e-06 eta: 2:59:09 time: 1.0048 data_time: 0.0290 memory: 32703 grad_norm: 18.9948 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9057 loss: 0.9057 2022/07/31 02:04:55 - mmengine - INFO - Epoch(train) [54][1680/2505] lr: 5.0000e-06 eta: 2:58:49 time: 0.9135 data_time: 0.0305 memory: 32703 grad_norm: 19.2391 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0977 loss: 1.0977 2022/07/31 02:05:16 - mmengine - INFO - Epoch(train) [54][1700/2505] lr: 5.0000e-06 eta: 2:58:29 time: 1.0450 data_time: 0.0266 memory: 32703 grad_norm: 19.3923 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1801 loss: 1.1801 2022/07/31 02:05:35 - mmengine - INFO - Epoch(train) [54][1720/2505] lr: 5.0000e-06 eta: 2:58:10 time: 0.9170 data_time: 0.0281 memory: 32703 grad_norm: 20.0321 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8617 loss: 0.8617 2022/07/31 02:05:56 - mmengine - INFO - Epoch(train) [54][1740/2505] lr: 5.0000e-06 eta: 2:57:50 time: 1.0652 data_time: 0.0293 memory: 32703 grad_norm: 19.3943 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8142 loss: 0.8142 2022/07/31 02:06:14 - mmengine - INFO - Epoch(train) [54][1760/2505] lr: 5.0000e-06 eta: 2:57:30 time: 0.9011 data_time: 0.0253 memory: 32703 grad_norm: 19.3744 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9336 loss: 0.9336 2022/07/31 02:06:34 - mmengine - INFO - Epoch(train) [54][1780/2505] lr: 5.0000e-06 eta: 2:57:10 time: 1.0316 data_time: 0.0263 memory: 32703 grad_norm: 19.4931 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9850 loss: 0.9850 2022/07/31 02:06:53 - mmengine - INFO - Epoch(train) [54][1800/2505] lr: 5.0000e-06 eta: 2:56:50 time: 0.9399 data_time: 0.0267 memory: 32703 grad_norm: 18.8399 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9618 loss: 0.9618 2022/07/31 02:07:14 - mmengine - INFO - Epoch(train) [54][1820/2505] lr: 5.0000e-06 eta: 2:56:31 time: 1.0252 data_time: 0.0331 memory: 32703 grad_norm: 19.1119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9836 loss: 0.9836 2022/07/31 02:07:32 - mmengine - INFO - Epoch(train) [54][1840/2505] lr: 5.0000e-06 eta: 2:56:11 time: 0.9038 data_time: 0.0276 memory: 32703 grad_norm: 19.2947 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8909 loss: 0.8909 2022/07/31 02:07:53 - mmengine - INFO - Epoch(train) [54][1860/2505] lr: 5.0000e-06 eta: 2:55:51 time: 1.0478 data_time: 0.0264 memory: 32703 grad_norm: 18.8659 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8570 loss: 0.8570 2022/07/31 02:08:11 - mmengine - INFO - Epoch(train) [54][1880/2505] lr: 5.0000e-06 eta: 2:55:31 time: 0.9213 data_time: 0.0299 memory: 32703 grad_norm: 18.8221 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7051 loss: 0.7051 2022/07/31 02:08:32 - mmengine - INFO - Epoch(train) [54][1900/2505] lr: 5.0000e-06 eta: 2:55:11 time: 1.0480 data_time: 0.0269 memory: 32703 grad_norm: 20.2635 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.2175 loss: 1.2175 2022/07/31 02:08:51 - mmengine - INFO - Epoch(train) [54][1920/2505] lr: 5.0000e-06 eta: 2:54:52 time: 0.9148 data_time: 0.0290 memory: 32703 grad_norm: 18.9996 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9155 loss: 0.9155 2022/07/31 02:09:11 - mmengine - INFO - Epoch(train) [54][1940/2505] lr: 5.0000e-06 eta: 2:54:32 time: 1.0358 data_time: 0.0261 memory: 32703 grad_norm: 19.3240 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1739 loss: 1.1739 2022/07/31 02:09:29 - mmengine - INFO - Epoch(train) [54][1960/2505] lr: 5.0000e-06 eta: 2:54:12 time: 0.8851 data_time: 0.0266 memory: 32703 grad_norm: 19.7341 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0917 loss: 1.0917 2022/07/31 02:09:50 - mmengine - INFO - Epoch(train) [54][1980/2505] lr: 5.0000e-06 eta: 2:53:52 time: 1.0690 data_time: 0.0270 memory: 32703 grad_norm: 19.4499 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.8516 loss: 0.8516 2022/07/31 02:10:09 - mmengine - INFO - Epoch(train) [54][2000/2505] lr: 5.0000e-06 eta: 2:53:32 time: 0.9445 data_time: 0.0255 memory: 32703 grad_norm: 20.1379 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0662 loss: 1.0662 2022/07/31 02:10:30 - mmengine - INFO - Epoch(train) [54][2020/2505] lr: 5.0000e-06 eta: 2:53:13 time: 1.0527 data_time: 0.0276 memory: 32703 grad_norm: 19.2887 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0029 loss: 1.0029 2022/07/31 02:10:49 - mmengine - INFO - Epoch(train) [54][2040/2505] lr: 5.0000e-06 eta: 2:52:53 time: 0.9524 data_time: 0.0256 memory: 32703 grad_norm: 19.4880 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0258 loss: 1.0258 2022/07/31 02:11:10 - mmengine - INFO - Epoch(train) [54][2060/2505] lr: 5.0000e-06 eta: 2:52:33 time: 1.0111 data_time: 0.0345 memory: 32703 grad_norm: 18.8153 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9774 loss: 0.9774 2022/07/31 02:11:27 - mmengine - INFO - Epoch(train) [54][2080/2505] lr: 5.0000e-06 eta: 2:52:13 time: 0.8911 data_time: 0.0284 memory: 32703 grad_norm: 19.2103 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0064 loss: 1.0064 2022/07/31 02:11:48 - mmengine - INFO - Epoch(train) [54][2100/2505] lr: 5.0000e-06 eta: 2:51:53 time: 1.0413 data_time: 0.0292 memory: 32703 grad_norm: 18.0273 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7209 loss: 0.7209 2022/07/31 02:12:07 - mmengine - INFO - Epoch(train) [54][2120/2505] lr: 5.0000e-06 eta: 2:51:34 time: 0.9172 data_time: 0.0253 memory: 32703 grad_norm: 19.2982 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9486 loss: 0.9486 2022/07/31 02:12:27 - mmengine - INFO - Epoch(train) [54][2140/2505] lr: 5.0000e-06 eta: 2:51:14 time: 1.0335 data_time: 0.0269 memory: 32703 grad_norm: 18.6802 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8513 loss: 0.8513 2022/07/31 02:12:46 - mmengine - INFO - Epoch(train) [54][2160/2505] lr: 5.0000e-06 eta: 2:50:54 time: 0.9375 data_time: 0.0305 memory: 32703 grad_norm: 19.9260 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0939 loss: 1.0939 2022/07/31 02:13:08 - mmengine - INFO - Epoch(train) [54][2180/2505] lr: 5.0000e-06 eta: 2:50:34 time: 1.0755 data_time: 0.0318 memory: 32703 grad_norm: 18.7154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7344 loss: 0.7344 2022/07/31 02:13:25 - mmengine - INFO - Epoch(train) [54][2200/2505] lr: 5.0000e-06 eta: 2:50:14 time: 0.8891 data_time: 0.0321 memory: 32703 grad_norm: 19.1718 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0675 loss: 1.0675 2022/07/31 02:13:46 - mmengine - INFO - Epoch(train) [54][2220/2505] lr: 5.0000e-06 eta: 2:49:55 time: 1.0486 data_time: 0.0313 memory: 32703 grad_norm: 19.3947 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9957 loss: 0.9957 2022/07/31 02:14:01 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 02:14:04 - mmengine - INFO - Epoch(train) [54][2240/2505] lr: 5.0000e-06 eta: 2:49:35 time: 0.8876 data_time: 0.0277 memory: 32703 grad_norm: 18.7667 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7775 loss: 0.7775 2022/07/31 02:14:26 - mmengine - INFO - Epoch(train) [54][2260/2505] lr: 5.0000e-06 eta: 2:49:15 time: 1.0712 data_time: 0.0303 memory: 32703 grad_norm: 19.3917 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0875 loss: 1.0875 2022/07/31 02:14:44 - mmengine - INFO - Epoch(train) [54][2280/2505] lr: 5.0000e-06 eta: 2:48:55 time: 0.9020 data_time: 0.0316 memory: 32703 grad_norm: 18.8444 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8750 loss: 0.8750 2022/07/31 02:15:05 - mmengine - INFO - Epoch(train) [54][2300/2505] lr: 5.0000e-06 eta: 2:48:35 time: 1.0884 data_time: 0.0279 memory: 32703 grad_norm: 18.0384 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8989 loss: 0.8989 2022/07/31 02:15:23 - mmengine - INFO - Epoch(train) [54][2320/2505] lr: 5.0000e-06 eta: 2:48:16 time: 0.8714 data_time: 0.0330 memory: 32703 grad_norm: 20.1692 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1147 loss: 1.1147 2022/07/31 02:15:44 - mmengine - INFO - Epoch(train) [54][2340/2505] lr: 5.0000e-06 eta: 2:47:56 time: 1.0580 data_time: 0.0251 memory: 32703 grad_norm: 18.9020 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8200 loss: 0.8200 2022/07/31 02:16:03 - mmengine - INFO - Epoch(train) [54][2360/2505] lr: 5.0000e-06 eta: 2:47:36 time: 0.9488 data_time: 0.0287 memory: 32703 grad_norm: 19.6657 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0384 loss: 1.0384 2022/07/31 02:16:24 - mmengine - INFO - Epoch(train) [54][2380/2505] lr: 5.0000e-06 eta: 2:47:16 time: 1.0270 data_time: 0.0274 memory: 32703 grad_norm: 19.4685 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7579 loss: 0.7579 2022/07/31 02:16:42 - mmengine - INFO - Epoch(train) [54][2400/2505] lr: 5.0000e-06 eta: 2:46:56 time: 0.9361 data_time: 0.0271 memory: 32703 grad_norm: 19.2826 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0898 loss: 1.0898 2022/07/31 02:17:04 - mmengine - INFO - Epoch(train) [54][2420/2505] lr: 5.0000e-06 eta: 2:46:37 time: 1.0864 data_time: 0.0273 memory: 32703 grad_norm: 19.3220 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1156 loss: 1.1156 2022/07/31 02:17:23 - mmengine - INFO - Epoch(train) [54][2440/2505] lr: 5.0000e-06 eta: 2:46:17 time: 0.9412 data_time: 0.0304 memory: 32703 grad_norm: 19.6528 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0409 loss: 1.0409 2022/07/31 02:17:43 - mmengine - INFO - Epoch(train) [54][2460/2505] lr: 5.0000e-06 eta: 2:45:57 time: 1.0177 data_time: 0.0270 memory: 32703 grad_norm: 18.6036 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0709 loss: 1.0709 2022/07/31 02:18:01 - mmengine - INFO - Epoch(train) [54][2480/2505] lr: 5.0000e-06 eta: 2:45:37 time: 0.8947 data_time: 0.0271 memory: 32703 grad_norm: 19.5245 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0295 loss: 1.0295 2022/07/31 02:18:20 - mmengine - INFO - Epoch(train) [54][2500/2505] lr: 5.0000e-06 eta: 2:45:17 time: 0.9536 data_time: 0.0302 memory: 32703 grad_norm: 19.2324 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0439 loss: 1.0439 2022/07/31 02:18:23 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 02:18:23 - mmengine - INFO - Epoch(train) [54][2505/2505] lr: 5.0000e-06 eta: 2:45:17 time: 0.7724 data_time: 0.0220 memory: 32703 grad_norm: 19.5891 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9773 loss: 0.9773 2022/07/31 02:18:23 - mmengine - INFO - Saving checkpoint at 54 epochs 2022/07/31 02:18:31 - mmengine - INFO - Epoch(val) [54][20/2475] eta: 0:04:31 time: 0.1108 data_time: 0.0824 memory: 817 2022/07/31 02:18:33 - mmengine - INFO - Epoch(val) [54][40/2475] eta: 0:02:55 time: 0.0721 data_time: 0.0452 memory: 817 2022/07/31 02:18:34 - mmengine - INFO - Epoch(val) [54][60/2475] eta: 0:03:25 time: 0.0849 data_time: 0.0547 memory: 817 2022/07/31 02:18:36 - mmengine - INFO - Epoch(val) [54][80/2475] eta: 0:02:53 time: 0.0723 data_time: 0.0454 memory: 817 2022/07/31 02:18:38 - mmengine - INFO - Epoch(val) [54][100/2475] eta: 0:03:47 time: 0.0959 data_time: 0.0680 memory: 817 2022/07/31 02:18:39 - mmengine - INFO - Epoch(val) [54][120/2475] eta: 0:02:46 time: 0.0709 data_time: 0.0428 memory: 817 2022/07/31 02:18:41 - mmengine - INFO - Epoch(val) [54][140/2475] eta: 0:03:22 time: 0.0868 data_time: 0.0593 memory: 817 2022/07/31 02:18:42 - mmengine - INFO - Epoch(val) [54][160/2475] eta: 0:02:52 time: 0.0747 data_time: 0.0476 memory: 817 2022/07/31 02:18:44 - mmengine - INFO - Epoch(val) [54][180/2475] eta: 0:03:19 time: 0.0870 data_time: 0.0601 memory: 817 2022/07/31 02:18:46 - mmengine - INFO - Epoch(val) [54][200/2475] eta: 0:02:58 time: 0.0786 data_time: 0.0502 memory: 817 2022/07/31 02:18:48 - mmengine - INFO - Epoch(val) [54][220/2475] eta: 0:03:25 time: 0.0911 data_time: 0.0633 memory: 817 2022/07/31 02:18:49 - mmengine - INFO - Epoch(val) [54][240/2475] eta: 0:02:40 time: 0.0716 data_time: 0.0440 memory: 817 2022/07/31 02:18:51 - mmengine - INFO - Epoch(val) [54][260/2475] eta: 0:03:27 time: 0.0935 data_time: 0.0661 memory: 817 2022/07/31 02:18:52 - mmengine - INFO - Epoch(val) [54][280/2475] eta: 0:02:36 time: 0.0712 data_time: 0.0444 memory: 817 2022/07/31 02:18:54 - mmengine - INFO - Epoch(val) [54][300/2475] eta: 0:03:17 time: 0.0910 data_time: 0.0585 memory: 817 2022/07/31 02:18:56 - mmengine - INFO - Epoch(val) [54][320/2475] eta: 0:02:51 time: 0.0794 data_time: 0.0511 memory: 817 2022/07/31 02:18:58 - mmengine - INFO - Epoch(val) [54][340/2475] eta: 0:03:23 time: 0.0954 data_time: 0.0675 memory: 817 2022/07/31 02:18:59 - mmengine - INFO - Epoch(val) [54][360/2475] eta: 0:02:07 time: 0.0605 data_time: 0.0308 memory: 817 2022/07/31 02:19:01 - mmengine - INFO - Epoch(val) [54][380/2475] eta: 0:02:59 time: 0.0856 data_time: 0.0575 memory: 817 2022/07/31 02:19:02 - mmengine - INFO - Epoch(val) [54][400/2475] eta: 0:02:19 time: 0.0671 data_time: 0.0392 memory: 817 2022/07/31 02:19:04 - mmengine - INFO - Epoch(val) [54][420/2475] eta: 0:03:07 time: 0.0910 data_time: 0.0638 memory: 817 2022/07/31 02:19:05 - mmengine - INFO - Epoch(val) [54][440/2475] eta: 0:02:13 time: 0.0655 data_time: 0.0397 memory: 817 2022/07/31 02:19:07 - mmengine - INFO - Epoch(val) [54][460/2475] eta: 0:02:59 time: 0.0893 data_time: 0.0617 memory: 817 2022/07/31 02:19:09 - mmengine - INFO - Epoch(val) [54][480/2475] eta: 0:02:57 time: 0.0890 data_time: 0.0617 memory: 817 2022/07/31 02:19:10 - mmengine - INFO - Epoch(val) [54][500/2475] eta: 0:02:42 time: 0.0823 data_time: 0.0553 memory: 817 2022/07/31 02:19:12 - mmengine - INFO - Epoch(val) [54][520/2475] eta: 0:02:29 time: 0.0766 data_time: 0.0509 memory: 817 2022/07/31 02:19:14 - mmengine - INFO - Epoch(val) [54][540/2475] eta: 0:04:03 time: 0.1260 data_time: 0.0683 memory: 817 2022/07/31 02:19:15 - mmengine - INFO - Epoch(val) [54][560/2475] eta: 0:01:23 time: 0.0436 data_time: 0.0040 memory: 817 2022/07/31 02:19:17 - mmengine - INFO - Epoch(val) [54][580/2475] eta: 0:02:08 time: 0.0680 data_time: 0.0384 memory: 817 2022/07/31 02:19:18 - mmengine - INFO - Epoch(val) [54][600/2475] eta: 0:02:44 time: 0.0876 data_time: 0.0612 memory: 817 2022/07/31 02:19:20 - mmengine - INFO - Epoch(val) [54][620/2475] eta: 0:02:20 time: 0.0756 data_time: 0.0489 memory: 817 2022/07/31 02:19:22 - mmengine - INFO - Epoch(val) [54][640/2475] eta: 0:02:47 time: 0.0915 data_time: 0.0652 memory: 817 2022/07/31 02:19:23 - mmengine - INFO - Epoch(val) [54][660/2475] eta: 0:02:36 time: 0.0860 data_time: 0.0589 memory: 817 2022/07/31 02:19:25 - mmengine - INFO - Epoch(val) [54][680/2475] eta: 0:02:03 time: 0.0686 data_time: 0.0396 memory: 817 2022/07/31 02:19:27 - mmengine - INFO - Epoch(val) [54][700/2475] eta: 0:02:41 time: 0.0911 data_time: 0.0641 memory: 817 2022/07/31 02:19:28 - mmengine - INFO - Epoch(val) [54][720/2475] eta: 0:02:16 time: 0.0779 data_time: 0.0509 memory: 817 2022/07/31 02:19:30 - mmengine - INFO - Epoch(val) [54][740/2475] eta: 0:02:27 time: 0.0848 data_time: 0.0551 memory: 817 2022/07/31 02:19:31 - mmengine - INFO - Epoch(val) [54][760/2475] eta: 0:01:57 time: 0.0687 data_time: 0.0414 memory: 817 2022/07/31 02:19:33 - mmengine - INFO - Epoch(val) [54][780/2475] eta: 0:02:18 time: 0.0819 data_time: 0.0545 memory: 817 2022/07/31 02:19:34 - mmengine - INFO - Epoch(val) [54][800/2475] eta: 0:01:54 time: 0.0685 data_time: 0.0325 memory: 817 2022/07/31 02:19:36 - mmengine - INFO - Epoch(val) [54][820/2475] eta: 0:02:27 time: 0.0890 data_time: 0.0625 memory: 817 2022/07/31 02:19:38 - mmengine - INFO - Epoch(val) [54][840/2475] eta: 0:02:04 time: 0.0761 data_time: 0.0494 memory: 817 2022/07/31 02:19:39 - mmengine - INFO - Epoch(val) [54][860/2475] eta: 0:02:17 time: 0.0853 data_time: 0.0585 memory: 817 2022/07/31 02:19:41 - mmengine - INFO - Epoch(val) [54][880/2475] eta: 0:01:53 time: 0.0711 data_time: 0.0431 memory: 817 2022/07/31 02:19:43 - mmengine - INFO - Epoch(val) [54][900/2475] eta: 0:02:23 time: 0.0909 data_time: 0.0646 memory: 817 2022/07/31 02:19:44 - mmengine - INFO - Epoch(val) [54][920/2475] eta: 0:01:55 time: 0.0742 data_time: 0.0481 memory: 817 2022/07/31 02:19:46 - mmengine - INFO - Epoch(val) [54][940/2475] eta: 0:02:21 time: 0.0923 data_time: 0.0662 memory: 817 2022/07/31 02:19:47 - mmengine - INFO - Epoch(val) [54][960/2475] eta: 0:01:47 time: 0.0709 data_time: 0.0437 memory: 817 2022/07/31 02:19:49 - mmengine - INFO - Epoch(val) [54][980/2475] eta: 0:02:21 time: 0.0949 data_time: 0.0679 memory: 817 2022/07/31 02:19:51 - mmengine - INFO - Epoch(val) [54][1000/2475] eta: 0:01:40 time: 0.0682 data_time: 0.0413 memory: 817 2022/07/31 02:19:53 - mmengine - INFO - Epoch(val) [54][1020/2475] eta: 0:02:17 time: 0.0948 data_time: 0.0690 memory: 817 2022/07/31 02:19:54 - mmengine - INFO - Epoch(val) [54][1040/2475] eta: 0:01:55 time: 0.0808 data_time: 0.0452 memory: 817 2022/07/31 02:19:56 - mmengine - INFO - Epoch(val) [54][1060/2475] eta: 0:01:43 time: 0.0729 data_time: 0.0440 memory: 817 2022/07/31 02:19:57 - mmengine - INFO - Epoch(val) [54][1080/2475] eta: 0:01:35 time: 0.0685 data_time: 0.0413 memory: 817 2022/07/31 02:19:59 - mmengine - INFO - Epoch(val) [54][1100/2475] eta: 0:02:04 time: 0.0903 data_time: 0.0608 memory: 817 2022/07/31 02:20:00 - mmengine - INFO - Epoch(val) [54][1120/2475] eta: 0:01:39 time: 0.0735 data_time: 0.0465 memory: 817 2022/07/31 02:20:02 - mmengine - INFO - Epoch(val) [54][1140/2475] eta: 0:02:10 time: 0.0976 data_time: 0.0708 memory: 817 2022/07/31 02:20:04 - mmengine - INFO - Epoch(val) [54][1160/2475] eta: 0:01:48 time: 0.0822 data_time: 0.0555 memory: 817 2022/07/31 02:20:06 - mmengine - INFO - Epoch(val) [54][1180/2475] eta: 0:02:25 time: 0.1121 data_time: 0.0829 memory: 817 2022/07/31 02:20:08 - mmengine - INFO - Epoch(val) [54][1200/2475] eta: 0:01:30 time: 0.0712 data_time: 0.0434 memory: 817 2022/07/31 02:20:09 - mmengine - INFO - Epoch(val) [54][1220/2475] eta: 0:01:51 time: 0.0888 data_time: 0.0622 memory: 817 2022/07/31 02:20:11 - mmengine - INFO - Epoch(val) [54][1240/2475] eta: 0:01:30 time: 0.0731 data_time: 0.0472 memory: 817 2022/07/31 02:20:12 - mmengine - INFO - Epoch(val) [54][1260/2475] eta: 0:01:40 time: 0.0826 data_time: 0.0566 memory: 817 2022/07/31 02:20:14 - mmengine - INFO - Epoch(val) [54][1280/2475] eta: 0:01:27 time: 0.0731 data_time: 0.0429 memory: 817 2022/07/31 02:20:16 - mmengine - INFO - Epoch(val) [54][1300/2475] eta: 0:01:43 time: 0.0877 data_time: 0.0599 memory: 817 2022/07/31 02:20:17 - mmengine - INFO - Epoch(val) [54][1320/2475] eta: 0:01:34 time: 0.0817 data_time: 0.0544 memory: 817 2022/07/31 02:20:19 - mmengine - INFO - Epoch(val) [54][1340/2475] eta: 0:01:16 time: 0.0676 data_time: 0.0415 memory: 817 2022/07/31 02:20:20 - mmengine - INFO - Epoch(val) [54][1360/2475] eta: 0:01:30 time: 0.0810 data_time: 0.0531 memory: 817 2022/07/31 02:20:22 - mmengine - INFO - Epoch(val) [54][1380/2475] eta: 0:01:43 time: 0.0949 data_time: 0.0681 memory: 817 2022/07/31 02:20:24 - mmengine - INFO - Epoch(val) [54][1400/2475] eta: 0:01:22 time: 0.0770 data_time: 0.0504 memory: 817 2022/07/31 02:20:25 - mmengine - INFO - Epoch(val) [54][1420/2475] eta: 0:01:23 time: 0.0787 data_time: 0.0509 memory: 817 2022/07/31 02:20:27 - mmengine - INFO - Epoch(val) [54][1440/2475] eta: 0:01:25 time: 0.0824 data_time: 0.0557 memory: 817 2022/07/31 02:20:29 - mmengine - INFO - Epoch(val) [54][1460/2475] eta: 0:01:21 time: 0.0802 data_time: 0.0526 memory: 817 2022/07/31 02:20:30 - mmengine - INFO - Epoch(val) [54][1480/2475] eta: 0:01:12 time: 0.0724 data_time: 0.0458 memory: 817 2022/07/31 02:20:32 - mmengine - INFO - Epoch(val) [54][1500/2475] eta: 0:01:20 time: 0.0830 data_time: 0.0557 memory: 817 2022/07/31 02:20:33 - mmengine - INFO - Epoch(val) [54][1520/2475] eta: 0:01:10 time: 0.0733 data_time: 0.0467 memory: 817 2022/07/31 02:20:35 - mmengine - INFO - Epoch(val) [54][1540/2475] eta: 0:01:18 time: 0.0845 data_time: 0.0522 memory: 817 2022/07/31 02:20:36 - mmengine - INFO - Epoch(val) [54][1560/2475] eta: 0:01:03 time: 0.0689 data_time: 0.0402 memory: 817 2022/07/31 02:20:38 - mmengine - INFO - Epoch(val) [54][1580/2475] eta: 0:01:26 time: 0.0968 data_time: 0.0686 memory: 817 2022/07/31 02:20:39 - mmengine - INFO - Epoch(val) [54][1600/2475] eta: 0:00:50 time: 0.0576 data_time: 0.0309 memory: 817 2022/07/31 02:20:41 - mmengine - INFO - Epoch(val) [54][1620/2475] eta: 0:01:17 time: 0.0905 data_time: 0.0634 memory: 817 2022/07/31 02:20:43 - mmengine - INFO - Epoch(val) [54][1640/2475] eta: 0:01:05 time: 0.0779 data_time: 0.0492 memory: 817 2022/07/31 02:20:45 - mmengine - INFO - Epoch(val) [54][1660/2475] eta: 0:01:15 time: 0.0929 data_time: 0.0662 memory: 817 2022/07/31 02:20:46 - mmengine - INFO - Epoch(val) [54][1680/2475] eta: 0:00:56 time: 0.0708 data_time: 0.0437 memory: 817 2022/07/31 02:20:48 - mmengine - INFO - Epoch(val) [54][1700/2475] eta: 0:01:02 time: 0.0810 data_time: 0.0529 memory: 817 2022/07/31 02:20:49 - mmengine - INFO - Epoch(val) [54][1720/2475] eta: 0:00:58 time: 0.0780 data_time: 0.0511 memory: 817 2022/07/31 02:20:51 - mmengine - INFO - Epoch(val) [54][1740/2475] eta: 0:01:10 time: 0.0955 data_time: 0.0693 memory: 817 2022/07/31 02:20:52 - mmengine - INFO - Epoch(val) [54][1760/2475] eta: 0:00:46 time: 0.0652 data_time: 0.0379 memory: 817 2022/07/31 02:20:54 - mmengine - INFO - Epoch(val) [54][1780/2475] eta: 0:01:11 time: 0.1026 data_time: 0.0575 memory: 817 2022/07/31 02:20:56 - mmengine - INFO - Epoch(val) [54][1800/2475] eta: 0:00:45 time: 0.0678 data_time: 0.0392 memory: 817 2022/07/31 02:20:58 - mmengine - INFO - Epoch(val) [54][1820/2475] eta: 0:01:04 time: 0.0978 data_time: 0.0674 memory: 817 2022/07/31 02:20:59 - mmengine - INFO - Epoch(val) [54][1840/2475] eta: 0:00:38 time: 0.0613 data_time: 0.0340 memory: 817 2022/07/31 02:21:01 - mmengine - INFO - Epoch(val) [54][1860/2475] eta: 0:00:53 time: 0.0875 data_time: 0.0601 memory: 817 2022/07/31 02:21:02 - mmengine - INFO - Epoch(val) [54][1880/2475] eta: 0:00:40 time: 0.0682 data_time: 0.0408 memory: 817 2022/07/31 02:21:04 - mmengine - INFO - Epoch(val) [54][1900/2475] eta: 0:00:51 time: 0.0896 data_time: 0.0630 memory: 817 2022/07/31 02:21:05 - mmengine - INFO - Epoch(val) [54][1920/2475] eta: 0:00:36 time: 0.0663 data_time: 0.0402 memory: 817 2022/07/31 02:21:07 - mmengine - INFO - Epoch(val) [54][1940/2475] eta: 0:00:48 time: 0.0902 data_time: 0.0638 memory: 817 2022/07/31 02:21:09 - mmengine - INFO - Epoch(val) [54][1960/2475] eta: 0:00:38 time: 0.0749 data_time: 0.0477 memory: 817 2022/07/31 02:21:10 - mmengine - INFO - Epoch(val) [54][1980/2475] eta: 0:00:36 time: 0.0730 data_time: 0.0470 memory: 817 2022/07/31 02:21:12 - mmengine - INFO - Epoch(val) [54][2000/2475] eta: 0:00:43 time: 0.0916 data_time: 0.0652 memory: 817 2022/07/31 02:21:13 - mmengine - INFO - Epoch(val) [54][2020/2475] eta: 0:00:34 time: 0.0764 data_time: 0.0496 memory: 817 2022/07/31 02:21:15 - mmengine - INFO - Epoch(val) [54][2040/2475] eta: 0:00:36 time: 0.0842 data_time: 0.0535 memory: 817 2022/07/31 02:21:17 - mmengine - INFO - Epoch(val) [54][2060/2475] eta: 0:00:31 time: 0.0754 data_time: 0.0461 memory: 817 2022/07/31 02:21:19 - mmengine - INFO - Epoch(val) [54][2080/2475] eta: 0:00:37 time: 0.0939 data_time: 0.0645 memory: 817 2022/07/31 02:21:20 - mmengine - INFO - Epoch(val) [54][2100/2475] eta: 0:00:27 time: 0.0745 data_time: 0.0451 memory: 817 2022/07/31 02:21:22 - mmengine - INFO - Epoch(val) [54][2120/2475] eta: 0:00:29 time: 0.0823 data_time: 0.0528 memory: 817 2022/07/31 02:21:23 - mmengine - INFO - Epoch(val) [54][2140/2475] eta: 0:00:27 time: 0.0828 data_time: 0.0549 memory: 817 2022/07/31 02:21:25 - mmengine - INFO - Epoch(val) [54][2160/2475] eta: 0:00:23 time: 0.0757 data_time: 0.0473 memory: 817 2022/07/31 02:21:27 - mmengine - INFO - Epoch(val) [54][2180/2475] eta: 0:00:27 time: 0.0927 data_time: 0.0644 memory: 817 2022/07/31 02:21:28 - mmengine - INFO - Epoch(val) [54][2200/2475] eta: 0:00:20 time: 0.0756 data_time: 0.0501 memory: 817 2022/07/31 02:21:30 - mmengine - INFO - Epoch(val) [54][2220/2475] eta: 0:00:24 time: 0.0944 data_time: 0.0678 memory: 817 2022/07/31 02:21:32 - mmengine - INFO - Epoch(val) [54][2240/2475] eta: 0:00:20 time: 0.0864 data_time: 0.0575 memory: 817 2022/07/31 02:21:34 - mmengine - INFO - Epoch(val) [54][2260/2475] eta: 0:00:22 time: 0.1028 data_time: 0.0751 memory: 817 2022/07/31 02:21:35 - mmengine - INFO - Epoch(val) [54][2280/2475] eta: 0:00:12 time: 0.0659 data_time: 0.0380 memory: 817 2022/07/31 02:21:37 - mmengine - INFO - Epoch(val) [54][2300/2475] eta: 0:00:14 time: 0.0833 data_time: 0.0549 memory: 817 2022/07/31 02:21:38 - mmengine - INFO - Epoch(val) [54][2320/2475] eta: 0:00:10 time: 0.0704 data_time: 0.0440 memory: 817 2022/07/31 02:21:40 - mmengine - INFO - Epoch(val) [54][2340/2475] eta: 0:00:10 time: 0.0807 data_time: 0.0548 memory: 817 2022/07/31 02:21:42 - mmengine - INFO - Epoch(val) [54][2360/2475] eta: 0:00:09 time: 0.0836 data_time: 0.0571 memory: 817 2022/07/31 02:21:43 - mmengine - INFO - Epoch(val) [54][2380/2475] eta: 0:00:07 time: 0.0802 data_time: 0.0528 memory: 817 2022/07/31 02:21:44 - mmengine - INFO - Epoch(val) [54][2400/2475] eta: 0:00:02 time: 0.0366 data_time: 0.0070 memory: 817 2022/07/31 02:21:45 - mmengine - INFO - Epoch(val) [54][2420/2475] eta: 0:00:01 time: 0.0282 data_time: 0.0030 memory: 817 2022/07/31 02:21:45 - mmengine - INFO - Epoch(val) [54][2440/2475] eta: 0:00:01 time: 0.0317 data_time: 0.0067 memory: 817 2022/07/31 02:21:46 - mmengine - INFO - Epoch(val) [54][2460/2475] eta: 0:00:00 time: 0.0269 data_time: 0.0021 memory: 817 2022/07/31 02:21:48 - mmengine - INFO - Epoch(val) [54][2475/2475] acc/top1: 0.7648 acc/top5: 0.9228 acc/mean1: 0.7647 2022/07/31 02:21:48 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_52.pth is removed 2022/07/31 02:21:51 - 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 02:22:17 - mmengine - INFO - Epoch(train) [55][20/2505] lr: 5.0000e-06 eta: 2:44:53 time: 1.2821 data_time: 0.6724 memory: 32703 grad_norm: 18.6262 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0170 loss: 1.0170 2022/07/31 02:22:35 - mmengine - INFO - Epoch(train) [55][40/2505] lr: 5.0000e-06 eta: 2:44:33 time: 0.9125 data_time: 0.3126 memory: 32703 grad_norm: 18.4268 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9371 loss: 0.9371 2022/07/31 02:22:57 - mmengine - INFO - Epoch(train) [55][60/2505] lr: 5.0000e-06 eta: 2:44:13 time: 1.0662 data_time: 0.4587 memory: 32703 grad_norm: 18.9089 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0568 loss: 1.0568 2022/07/31 02:23:14 - mmengine - INFO - Epoch(train) [55][80/2505] lr: 5.0000e-06 eta: 2:43:53 time: 0.8695 data_time: 0.2764 memory: 32703 grad_norm: 18.8505 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9243 loss: 0.9243 2022/07/31 02:23:36 - mmengine - INFO - Epoch(train) [55][100/2505] lr: 5.0000e-06 eta: 2:43:34 time: 1.0743 data_time: 0.4784 memory: 32703 grad_norm: 19.3426 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0128 loss: 1.0128 2022/07/31 02:23:53 - mmengine - INFO - Epoch(train) [55][120/2505] lr: 5.0000e-06 eta: 2:43:14 time: 0.8679 data_time: 0.2858 memory: 32703 grad_norm: 19.0780 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0766 loss: 1.0766 2022/07/31 02:24:13 - mmengine - INFO - Epoch(train) [55][140/2505] lr: 5.0000e-06 eta: 2:42:54 time: 1.0317 data_time: 0.4159 memory: 32703 grad_norm: 19.2688 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.1782 loss: 1.1782 2022/07/31 02:24:32 - mmengine - INFO - Epoch(train) [55][160/2505] lr: 5.0000e-06 eta: 2:42:34 time: 0.9217 data_time: 0.3313 memory: 32703 grad_norm: 19.5549 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0907 loss: 1.0907 2022/07/31 02:24:54 - mmengine - INFO - Epoch(train) [55][180/2505] lr: 5.0000e-06 eta: 2:42:14 time: 1.0900 data_time: 0.4867 memory: 32703 grad_norm: 19.4995 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8064 loss: 0.8064 2022/07/31 02:25:12 - mmengine - INFO - Epoch(train) [55][200/2505] lr: 5.0000e-06 eta: 2:41:54 time: 0.9274 data_time: 0.3406 memory: 32703 grad_norm: 19.4879 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9937 loss: 0.9937 2022/07/31 02:25:33 - mmengine - INFO - Epoch(train) [55][220/2505] lr: 5.0000e-06 eta: 2:41:35 time: 1.0536 data_time: 0.4593 memory: 32703 grad_norm: 19.5280 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8829 loss: 0.8829 2022/07/31 02:25:52 - mmengine - INFO - Epoch(train) [55][240/2505] lr: 5.0000e-06 eta: 2:41:15 time: 0.9172 data_time: 0.3069 memory: 32703 grad_norm: 18.4395 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1549 loss: 1.1549 2022/07/31 02:26:13 - mmengine - INFO - Epoch(train) [55][260/2505] lr: 5.0000e-06 eta: 2:40:55 time: 1.0426 data_time: 0.4611 memory: 32703 grad_norm: 20.4712 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0618 loss: 1.0618 2022/07/31 02:26:31 - mmengine - INFO - Epoch(train) [55][280/2505] lr: 5.0000e-06 eta: 2:40:35 time: 0.8983 data_time: 0.3103 memory: 32703 grad_norm: 18.9798 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.0346 loss: 1.0346 2022/07/31 02:26:52 - mmengine - INFO - Epoch(train) [55][300/2505] lr: 5.0000e-06 eta: 2:40:16 time: 1.0688 data_time: 0.4851 memory: 32703 grad_norm: 18.7531 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 1.0884 loss: 1.0884 2022/07/31 02:27:09 - mmengine - INFO - Epoch(train) [55][320/2505] lr: 5.0000e-06 eta: 2:39:56 time: 0.8697 data_time: 0.2801 memory: 32703 grad_norm: 19.2535 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1113 loss: 1.1113 2022/07/31 02:27:30 - mmengine - INFO - Epoch(train) [55][340/2505] lr: 5.0000e-06 eta: 2:39:36 time: 1.0513 data_time: 0.4731 memory: 32703 grad_norm: 18.4049 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 0.8313 loss: 0.8313 2022/07/31 02:27:48 - mmengine - INFO - Epoch(train) [55][360/2505] lr: 5.0000e-06 eta: 2:39:16 time: 0.9040 data_time: 0.3104 memory: 32703 grad_norm: 19.8757 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0907 loss: 1.0907 2022/07/31 02:28:10 - mmengine - INFO - Epoch(train) [55][380/2505] lr: 5.0000e-06 eta: 2:38:56 time: 1.0587 data_time: 0.4660 memory: 32703 grad_norm: 18.8037 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0140 loss: 1.0140 2022/07/31 02:28:28 - mmengine - INFO - Epoch(train) [55][400/2505] lr: 5.0000e-06 eta: 2:38:36 time: 0.9202 data_time: 0.3207 memory: 32703 grad_norm: 18.5071 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0319 loss: 1.0319 2022/07/31 02:28:49 - mmengine - INFO - Epoch(train) [55][420/2505] lr: 5.0000e-06 eta: 2:38:17 time: 1.0632 data_time: 0.4454 memory: 32703 grad_norm: 19.1545 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9555 loss: 0.9555 2022/07/31 02:29:07 - mmengine - INFO - Epoch(train) [55][440/2505] lr: 5.0000e-06 eta: 2:37:57 time: 0.9076 data_time: 0.3005 memory: 32703 grad_norm: 19.3407 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0484 loss: 1.0484 2022/07/31 02:29:29 - mmengine - INFO - Epoch(train) [55][460/2505] lr: 5.0000e-06 eta: 2:37:37 time: 1.0695 data_time: 0.4508 memory: 32703 grad_norm: 18.2676 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0035 loss: 1.0035 2022/07/31 02:29:48 - mmengine - INFO - Epoch(train) [55][480/2505] lr: 5.0000e-06 eta: 2:37:17 time: 0.9332 data_time: 0.3121 memory: 32703 grad_norm: 19.6950 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0222 loss: 1.0222 2022/07/31 02:30:10 - mmengine - INFO - Epoch(train) [55][500/2505] lr: 5.0000e-06 eta: 2:36:58 time: 1.1272 data_time: 0.5037 memory: 32703 grad_norm: 19.4829 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1090 loss: 1.1090 2022/07/31 02:30:25 - mmengine - INFO - Epoch(train) [55][520/2505] lr: 5.0000e-06 eta: 2:36:38 time: 0.7607 data_time: 0.1676 memory: 32703 grad_norm: 19.5428 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8826 loss: 0.8826 2022/07/31 02:30:46 - mmengine - INFO - Epoch(train) [55][540/2505] lr: 5.0000e-06 eta: 2:36:18 time: 1.0510 data_time: 0.4572 memory: 32703 grad_norm: 19.4500 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9995 loss: 0.9995 2022/07/31 02:31:04 - mmengine - INFO - Epoch(train) [55][560/2505] lr: 5.0000e-06 eta: 2:35:58 time: 0.8810 data_time: 0.2803 memory: 32703 grad_norm: 19.0026 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1615 loss: 1.1615 2022/07/31 02:31:25 - mmengine - INFO - Epoch(train) [55][580/2505] lr: 5.0000e-06 eta: 2:35:38 time: 1.0232 data_time: 0.4025 memory: 32703 grad_norm: 20.1165 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1159 loss: 1.1159 2022/07/31 02:31:42 - mmengine - INFO - Epoch(train) [55][600/2505] lr: 5.0000e-06 eta: 2:35:18 time: 0.8920 data_time: 0.3025 memory: 32703 grad_norm: 18.7597 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9699 loss: 0.9699 2022/07/31 02:32:04 - mmengine - INFO - Epoch(train) [55][620/2505] lr: 5.0000e-06 eta: 2:34:59 time: 1.0917 data_time: 0.4813 memory: 32703 grad_norm: 18.9910 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9274 loss: 0.9274 2022/07/31 02:32:22 - mmengine - INFO - Epoch(train) [55][640/2505] lr: 5.0000e-06 eta: 2:34:39 time: 0.8820 data_time: 0.2897 memory: 32703 grad_norm: 19.6502 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0330 loss: 1.0330 2022/07/31 02:32:42 - mmengine - INFO - Epoch(train) [55][660/2505] lr: 5.0000e-06 eta: 2:34:19 time: 1.0111 data_time: 0.3912 memory: 32703 grad_norm: 19.6909 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1130 loss: 1.1130 2022/07/31 02:33:01 - mmengine - INFO - Epoch(train) [55][680/2505] lr: 5.0000e-06 eta: 2:33:59 time: 0.9527 data_time: 0.2927 memory: 32703 grad_norm: 19.4736 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9419 loss: 0.9419 2022/07/31 02:33:22 - mmengine - INFO - Epoch(train) [55][700/2505] lr: 5.0000e-06 eta: 2:33:39 time: 1.0537 data_time: 0.4408 memory: 32703 grad_norm: 19.1609 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.0329 loss: 1.0329 2022/07/31 02:33:41 - mmengine - INFO - Epoch(train) [55][720/2505] lr: 5.0000e-06 eta: 2:33:20 time: 0.9112 data_time: 0.3104 memory: 32703 grad_norm: 18.9820 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9691 loss: 0.9691 2022/07/31 02:33:52 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 02:34:01 - mmengine - INFO - Epoch(train) [55][740/2505] lr: 5.0000e-06 eta: 2:33:00 time: 1.0499 data_time: 0.4420 memory: 32703 grad_norm: 17.9577 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8879 loss: 0.8879 2022/07/31 02:34:20 - mmengine - INFO - Epoch(train) [55][760/2505] lr: 5.0000e-06 eta: 2:32:40 time: 0.9372 data_time: 0.3327 memory: 32703 grad_norm: 19.8279 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1406 loss: 1.1406 2022/07/31 02:34:42 - mmengine - INFO - Epoch(train) [55][780/2505] lr: 5.0000e-06 eta: 2:32:20 time: 1.0767 data_time: 0.4704 memory: 32703 grad_norm: 18.8030 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8522 loss: 0.8522 2022/07/31 02:35:00 - mmengine - INFO - Epoch(train) [55][800/2505] lr: 5.0000e-06 eta: 2:32:00 time: 0.8991 data_time: 0.2917 memory: 32703 grad_norm: 18.9815 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8057 loss: 0.8057 2022/07/31 02:35:21 - mmengine - INFO - Epoch(train) [55][820/2505] lr: 5.0000e-06 eta: 2:31:41 time: 1.0757 data_time: 0.4645 memory: 32703 grad_norm: 18.8390 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9954 loss: 0.9954 2022/07/31 02:35:40 - mmengine - INFO - Epoch(train) [55][840/2505] lr: 5.0000e-06 eta: 2:31:21 time: 0.9100 data_time: 0.2815 memory: 32703 grad_norm: 18.9174 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9733 loss: 0.9733 2022/07/31 02:36:00 - mmengine - INFO - Epoch(train) [55][860/2505] lr: 5.0000e-06 eta: 2:31:01 time: 1.0214 data_time: 0.4204 memory: 32703 grad_norm: 19.3139 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9390 loss: 0.9390 2022/07/31 02:36:19 - mmengine - INFO - Epoch(train) [55][880/2505] lr: 5.0000e-06 eta: 2:30:41 time: 0.9507 data_time: 0.3074 memory: 32703 grad_norm: 19.2199 top1_acc: 0.5000 top5_acc: 0.5833 loss_cls: 0.9485 loss: 0.9485 2022/07/31 02:36:39 - mmengine - INFO - Epoch(train) [55][900/2505] lr: 5.0000e-06 eta: 2:30:22 time: 1.0235 data_time: 0.3669 memory: 32703 grad_norm: 19.5058 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.2517 loss: 1.2517 2022/07/31 02:36:59 - mmengine - INFO - Epoch(train) [55][920/2505] lr: 5.0000e-06 eta: 2:30:02 time: 0.9579 data_time: 0.2753 memory: 32703 grad_norm: 18.8157 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8656 loss: 0.8656 2022/07/31 02:37:18 - mmengine - INFO - Epoch(train) [55][940/2505] lr: 5.0000e-06 eta: 2:29:42 time: 0.9610 data_time: 0.1455 memory: 32703 grad_norm: 19.4111 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.2132 loss: 1.2132 2022/07/31 02:37:39 - mmengine - INFO - Epoch(train) [55][960/2505] lr: 5.0000e-06 eta: 2:29:22 time: 1.0438 data_time: 0.0760 memory: 32703 grad_norm: 19.0451 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0564 loss: 1.0564 2022/07/31 02:37:58 - mmengine - INFO - Epoch(train) [55][980/2505] lr: 5.0000e-06 eta: 2:29:02 time: 0.9456 data_time: 0.0349 memory: 32703 grad_norm: 18.9221 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8618 loss: 0.8618 2022/07/31 02:38:19 - mmengine - INFO - Epoch(train) [55][1000/2505] lr: 5.0000e-06 eta: 2:28:43 time: 1.0583 data_time: 0.0727 memory: 32703 grad_norm: 18.4139 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9677 loss: 0.9677 2022/07/31 02:38:37 - mmengine - INFO - Epoch(train) [55][1020/2505] lr: 5.0000e-06 eta: 2:28:23 time: 0.9135 data_time: 0.0447 memory: 32703 grad_norm: 19.7714 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8154 loss: 0.8154 2022/07/31 02:38:58 - mmengine - INFO - Epoch(train) [55][1040/2505] lr: 5.0000e-06 eta: 2:28:03 time: 1.0294 data_time: 0.0409 memory: 32703 grad_norm: 18.8167 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0471 loss: 1.0471 2022/07/31 02:39:17 - mmengine - INFO - Epoch(train) [55][1060/2505] lr: 5.0000e-06 eta: 2:27:43 time: 0.9397 data_time: 0.0834 memory: 32703 grad_norm: 19.9134 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1035 loss: 1.1035 2022/07/31 02:39:37 - mmengine - INFO - Epoch(train) [55][1080/2505] lr: 5.0000e-06 eta: 2:27:23 time: 1.0340 data_time: 0.1010 memory: 32703 grad_norm: 18.8294 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0943 loss: 1.0943 2022/07/31 02:39:56 - mmengine - INFO - Epoch(train) [55][1100/2505] lr: 5.0000e-06 eta: 2:27:04 time: 0.9280 data_time: 0.1713 memory: 32703 grad_norm: 19.4463 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0552 loss: 1.0552 2022/07/31 02:40:17 - mmengine - INFO - Epoch(train) [55][1120/2505] lr: 5.0000e-06 eta: 2:26:44 time: 1.0693 data_time: 0.1390 memory: 32703 grad_norm: 19.1818 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0011 loss: 1.0011 2022/07/31 02:40:36 - mmengine - INFO - Epoch(train) [55][1140/2505] lr: 5.0000e-06 eta: 2:26:24 time: 0.9381 data_time: 0.1415 memory: 32703 grad_norm: 18.8772 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7699 loss: 0.7699 2022/07/31 02:40:57 - mmengine - INFO - Epoch(train) [55][1160/2505] lr: 5.0000e-06 eta: 2:26:04 time: 1.0598 data_time: 0.1096 memory: 32703 grad_norm: 18.9583 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8864 loss: 0.8864 2022/07/31 02:41:14 - mmengine - INFO - Epoch(train) [55][1180/2505] lr: 5.0000e-06 eta: 2:25:44 time: 0.8635 data_time: 0.0305 memory: 32703 grad_norm: 19.5488 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8676 loss: 0.8676 2022/07/31 02:41:36 - mmengine - INFO - Epoch(train) [55][1200/2505] lr: 5.0000e-06 eta: 2:25:25 time: 1.1035 data_time: 0.0466 memory: 32703 grad_norm: 18.7600 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9288 loss: 0.9288 2022/07/31 02:41:54 - mmengine - INFO - Epoch(train) [55][1220/2505] lr: 5.0000e-06 eta: 2:25:05 time: 0.8712 data_time: 0.0271 memory: 32703 grad_norm: 18.8897 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8798 loss: 0.8798 2022/07/31 02:42:16 - mmengine - INFO - Epoch(train) [55][1240/2505] lr: 5.0000e-06 eta: 2:24:45 time: 1.1007 data_time: 0.0268 memory: 32703 grad_norm: 19.2090 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0833 loss: 1.0833 2022/07/31 02:42:34 - mmengine - INFO - Epoch(train) [55][1260/2505] lr: 5.0000e-06 eta: 2:24:25 time: 0.8841 data_time: 0.0301 memory: 32703 grad_norm: 18.9500 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0726 loss: 1.0726 2022/07/31 02:42:55 - mmengine - INFO - Epoch(train) [55][1280/2505] lr: 5.0000e-06 eta: 2:24:06 time: 1.0537 data_time: 0.0252 memory: 32703 grad_norm: 18.4797 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7609 loss: 0.7609 2022/07/31 02:43:13 - mmengine - INFO - Epoch(train) [55][1300/2505] lr: 5.0000e-06 eta: 2:23:46 time: 0.9005 data_time: 0.0338 memory: 32703 grad_norm: 20.1383 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9251 loss: 0.9251 2022/07/31 02:43:35 - mmengine - INFO - Epoch(train) [55][1320/2505] lr: 5.0000e-06 eta: 2:23:26 time: 1.0973 data_time: 0.0266 memory: 32703 grad_norm: 18.9438 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9528 loss: 0.9528 2022/07/31 02:43:53 - mmengine - INFO - Epoch(train) [55][1340/2505] lr: 5.0000e-06 eta: 2:23:06 time: 0.9138 data_time: 0.0286 memory: 32703 grad_norm: 19.4696 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9863 loss: 0.9863 2022/07/31 02:44:13 - mmengine - INFO - Epoch(train) [55][1360/2505] lr: 5.0000e-06 eta: 2:22:46 time: 1.0105 data_time: 0.0293 memory: 32703 grad_norm: 20.1147 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9537 loss: 0.9537 2022/07/31 02:44:31 - mmengine - INFO - Epoch(train) [55][1380/2505] lr: 5.0000e-06 eta: 2:22:26 time: 0.9113 data_time: 0.0309 memory: 32703 grad_norm: 19.3274 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0386 loss: 1.0386 2022/07/31 02:44:52 - mmengine - INFO - Epoch(train) [55][1400/2505] lr: 5.0000e-06 eta: 2:22:07 time: 1.0199 data_time: 0.0285 memory: 32703 grad_norm: 19.1486 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1482 loss: 1.1482 2022/07/31 02:45:11 - mmengine - INFO - Epoch(train) [55][1420/2505] lr: 5.0000e-06 eta: 2:21:47 time: 0.9803 data_time: 0.0304 memory: 32703 grad_norm: 19.0105 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9512 loss: 0.9512 2022/07/31 02:45:32 - mmengine - INFO - Epoch(train) [55][1440/2505] lr: 5.0000e-06 eta: 2:21:27 time: 1.0132 data_time: 0.0256 memory: 32703 grad_norm: 18.3797 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9050 loss: 0.9050 2022/07/31 02:45:50 - mmengine - INFO - Epoch(train) [55][1460/2505] lr: 5.0000e-06 eta: 2:21:07 time: 0.9167 data_time: 0.0294 memory: 32703 grad_norm: 19.2433 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.0308 loss: 1.0308 2022/07/31 02:46:10 - mmengine - INFO - Epoch(train) [55][1480/2505] lr: 5.0000e-06 eta: 2:20:48 time: 1.0024 data_time: 0.0911 memory: 32703 grad_norm: 19.6209 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9958 loss: 0.9958 2022/07/31 02:46:31 - mmengine - INFO - Epoch(train) [55][1500/2505] lr: 5.0000e-06 eta: 2:20:28 time: 1.0504 data_time: 0.0714 memory: 32703 grad_norm: 19.1891 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1001 loss: 1.1001 2022/07/31 02:46:50 - mmengine - INFO - Epoch(train) [55][1520/2505] lr: 5.0000e-06 eta: 2:20:08 time: 0.9598 data_time: 0.0276 memory: 32703 grad_norm: 18.4571 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9980 loss: 0.9980 2022/07/31 02:47:10 - mmengine - INFO - Epoch(train) [55][1540/2505] lr: 5.0000e-06 eta: 2:19:48 time: 0.9802 data_time: 0.0319 memory: 32703 grad_norm: 19.3954 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0265 loss: 1.0265 2022/07/31 02:47:30 - mmengine - INFO - Epoch(train) [55][1560/2505] lr: 5.0000e-06 eta: 2:19:28 time: 0.9956 data_time: 0.0302 memory: 32703 grad_norm: 18.8331 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8305 loss: 0.8305 2022/07/31 02:47:49 - mmengine - INFO - Epoch(train) [55][1580/2505] lr: 5.0000e-06 eta: 2:19:09 time: 0.9495 data_time: 0.0313 memory: 32703 grad_norm: 19.6186 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0687 loss: 1.0687 2022/07/31 02:48:09 - mmengine - INFO - Epoch(train) [55][1600/2505] lr: 5.0000e-06 eta: 2:18:49 time: 1.0318 data_time: 0.0273 memory: 32703 grad_norm: 19.1719 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0139 loss: 1.0139 2022/07/31 02:48:29 - mmengine - INFO - Epoch(train) [55][1620/2505] lr: 5.0000e-06 eta: 2:18:29 time: 0.9896 data_time: 0.0290 memory: 32703 grad_norm: 20.2700 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9820 loss: 0.9820 2022/07/31 02:48:48 - mmengine - INFO - Epoch(train) [55][1640/2505] lr: 5.0000e-06 eta: 2:18:09 time: 0.9501 data_time: 0.0330 memory: 32703 grad_norm: 19.2339 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9587 loss: 0.9587 2022/07/31 02:49:09 - mmengine - INFO - Epoch(train) [55][1660/2505] lr: 5.0000e-06 eta: 2:17:50 time: 1.0194 data_time: 0.0292 memory: 32703 grad_norm: 19.2817 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0970 loss: 1.0970 2022/07/31 02:49:28 - mmengine - INFO - Epoch(train) [55][1680/2505] lr: 5.0000e-06 eta: 2:17:30 time: 0.9830 data_time: 0.0247 memory: 32703 grad_norm: 19.0374 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0589 loss: 1.0589 2022/07/31 02:49:48 - mmengine - INFO - Epoch(train) [55][1700/2505] lr: 5.0000e-06 eta: 2:17:10 time: 0.9844 data_time: 0.0263 memory: 32703 grad_norm: 18.8841 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8818 loss: 0.8818 2022/07/31 02:50:08 - mmengine - INFO - Epoch(train) [55][1720/2505] lr: 5.0000e-06 eta: 2:16:50 time: 0.9954 data_time: 0.0272 memory: 32703 grad_norm: 19.3438 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8556 loss: 0.8556 2022/07/31 02:50:16 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 02:50:29 - mmengine - INFO - Epoch(train) [55][1740/2505] lr: 5.0000e-06 eta: 2:16:30 time: 1.0578 data_time: 0.0266 memory: 32703 grad_norm: 19.0207 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9221 loss: 0.9221 2022/07/31 02:50:48 - mmengine - INFO - Epoch(train) [55][1760/2505] lr: 5.0000e-06 eta: 2:16:11 time: 0.9356 data_time: 0.0314 memory: 32703 grad_norm: 18.8291 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8913 loss: 0.8913 2022/07/31 02:51:09 - mmengine - INFO - Epoch(train) [55][1780/2505] lr: 5.0000e-06 eta: 2:15:51 time: 1.0453 data_time: 0.0306 memory: 32703 grad_norm: 19.7586 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0420 loss: 1.0420 2022/07/31 02:51:28 - mmengine - INFO - Epoch(train) [55][1800/2505] lr: 5.0000e-06 eta: 2:15:31 time: 0.9664 data_time: 0.0268 memory: 32703 grad_norm: 19.3728 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9563 loss: 0.9563 2022/07/31 02:51:48 - mmengine - INFO - Epoch(train) [55][1820/2505] lr: 5.0000e-06 eta: 2:15:11 time: 1.0035 data_time: 0.0276 memory: 32703 grad_norm: 19.0975 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8915 loss: 0.8915 2022/07/31 02:52:05 - mmengine - INFO - Epoch(train) [55][1840/2505] lr: 5.0000e-06 eta: 2:14:51 time: 0.8402 data_time: 0.0269 memory: 32703 grad_norm: 19.0890 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.7499 loss: 0.7499 2022/07/31 02:52:27 - mmengine - INFO - Epoch(train) [55][1860/2505] lr: 5.0000e-06 eta: 2:14:32 time: 1.0813 data_time: 0.0340 memory: 32703 grad_norm: 19.7297 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9087 loss: 0.9087 2022/07/31 02:52:44 - mmengine - INFO - Epoch(train) [55][1880/2505] lr: 5.0000e-06 eta: 2:14:12 time: 0.8853 data_time: 0.0346 memory: 32703 grad_norm: 19.0721 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1365 loss: 1.1365 2022/07/31 02:53:07 - mmengine - INFO - Epoch(train) [55][1900/2505] lr: 5.0000e-06 eta: 2:13:52 time: 1.1065 data_time: 0.0267 memory: 32703 grad_norm: 19.0107 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8068 loss: 0.8068 2022/07/31 02:53:25 - mmengine - INFO - Epoch(train) [55][1920/2505] lr: 5.0000e-06 eta: 2:13:32 time: 0.9056 data_time: 0.0303 memory: 32703 grad_norm: 18.3350 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9842 loss: 0.9842 2022/07/31 02:53:46 - mmengine - INFO - Epoch(train) [55][1940/2505] lr: 5.0000e-06 eta: 2:13:13 time: 1.0528 data_time: 0.0271 memory: 32703 grad_norm: 18.7413 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0499 loss: 1.0499 2022/07/31 02:54:04 - mmengine - INFO - Epoch(train) [55][1960/2505] lr: 5.0000e-06 eta: 2:12:53 time: 0.9038 data_time: 0.0308 memory: 32703 grad_norm: 19.1051 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0021 loss: 1.0021 2022/07/31 02:54:26 - mmengine - INFO - Epoch(train) [55][1980/2505] lr: 5.0000e-06 eta: 2:12:33 time: 1.0927 data_time: 0.0268 memory: 32703 grad_norm: 19.2236 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9416 loss: 0.9416 2022/07/31 02:54:44 - mmengine - INFO - Epoch(train) [55][2000/2505] lr: 5.0000e-06 eta: 2:12:13 time: 0.9078 data_time: 0.0315 memory: 32703 grad_norm: 19.1182 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0796 loss: 1.0796 2022/07/31 02:55:06 - mmengine - INFO - Epoch(train) [55][2020/2505] lr: 5.0000e-06 eta: 2:11:53 time: 1.1088 data_time: 0.0317 memory: 32703 grad_norm: 18.6094 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.8284 loss: 0.8284 2022/07/31 02:55:24 - mmengine - INFO - Epoch(train) [55][2040/2505] lr: 5.0000e-06 eta: 2:11:34 time: 0.8757 data_time: 0.0259 memory: 32703 grad_norm: 19.9261 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9058 loss: 0.9058 2022/07/31 02:55:45 - mmengine - INFO - Epoch(train) [55][2060/2505] lr: 5.0000e-06 eta: 2:11:14 time: 1.0609 data_time: 0.0257 memory: 32703 grad_norm: 20.3439 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9350 loss: 0.9350 2022/07/31 02:56:03 - mmengine - INFO - Epoch(train) [55][2080/2505] lr: 5.0000e-06 eta: 2:10:54 time: 0.9005 data_time: 0.0357 memory: 32703 grad_norm: 19.3270 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0837 loss: 1.0837 2022/07/31 02:56:24 - mmengine - INFO - Epoch(train) [55][2100/2505] lr: 5.0000e-06 eta: 2:10:34 time: 1.0730 data_time: 0.0289 memory: 32703 grad_norm: 19.1687 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9355 loss: 0.9355 2022/07/31 02:56:42 - mmengine - INFO - Epoch(train) [55][2120/2505] lr: 5.0000e-06 eta: 2:10:14 time: 0.8923 data_time: 0.0337 memory: 32703 grad_norm: 18.6986 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8849 loss: 0.8849 2022/07/31 02:57:03 - mmengine - INFO - Epoch(train) [55][2140/2505] lr: 5.0000e-06 eta: 2:09:55 time: 1.0462 data_time: 0.0300 memory: 32703 grad_norm: 19.4041 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9725 loss: 0.9725 2022/07/31 02:57:21 - mmengine - INFO - Epoch(train) [55][2160/2505] lr: 5.0000e-06 eta: 2:09:35 time: 0.8825 data_time: 0.0343 memory: 32703 grad_norm: 19.1624 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9132 loss: 0.9132 2022/07/31 02:57:42 - mmengine - INFO - Epoch(train) [55][2180/2505] lr: 5.0000e-06 eta: 2:09:15 time: 1.0428 data_time: 0.0291 memory: 32703 grad_norm: 19.8062 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0869 loss: 1.0869 2022/07/31 02:58:00 - mmengine - INFO - Epoch(train) [55][2200/2505] lr: 5.0000e-06 eta: 2:08:55 time: 0.9048 data_time: 0.0266 memory: 32703 grad_norm: 19.9121 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0275 loss: 1.0275 2022/07/31 02:58:21 - mmengine - INFO - Epoch(train) [55][2220/2505] lr: 5.0000e-06 eta: 2:08:35 time: 1.0590 data_time: 0.0319 memory: 32703 grad_norm: 18.7262 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9988 loss: 0.9988 2022/07/31 02:58:39 - mmengine - INFO - Epoch(train) [55][2240/2505] lr: 5.0000e-06 eta: 2:08:16 time: 0.9024 data_time: 0.0279 memory: 32703 grad_norm: 18.9719 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7707 loss: 0.7707 2022/07/31 02:59:00 - mmengine - INFO - Epoch(train) [55][2260/2505] lr: 5.0000e-06 eta: 2:07:56 time: 1.0666 data_time: 0.0321 memory: 32703 grad_norm: 19.1238 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7921 loss: 0.7921 2022/07/31 02:59:18 - mmengine - INFO - Epoch(train) [55][2280/2505] lr: 5.0000e-06 eta: 2:07:36 time: 0.8965 data_time: 0.0261 memory: 32703 grad_norm: 19.2041 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9966 loss: 0.9966 2022/07/31 02:59:39 - mmengine - INFO - Epoch(train) [55][2300/2505] lr: 5.0000e-06 eta: 2:07:16 time: 1.0599 data_time: 0.0307 memory: 32703 grad_norm: 19.9945 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9494 loss: 0.9494 2022/07/31 02:59:58 - mmengine - INFO - Epoch(train) [55][2320/2505] lr: 5.0000e-06 eta: 2:06:56 time: 0.9457 data_time: 0.0276 memory: 32703 grad_norm: 19.0088 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0101 loss: 1.0101 2022/07/31 03:00:20 - mmengine - INFO - Epoch(train) [55][2340/2505] lr: 5.0000e-06 eta: 2:06:37 time: 1.0633 data_time: 0.0262 memory: 32703 grad_norm: 18.8472 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0123 loss: 1.0123 2022/07/31 03:00:38 - mmengine - INFO - Epoch(train) [55][2360/2505] lr: 5.0000e-06 eta: 2:06:17 time: 0.9165 data_time: 0.0268 memory: 32703 grad_norm: 19.4815 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9953 loss: 0.9953 2022/07/31 03:00:59 - mmengine - INFO - Epoch(train) [55][2380/2505] lr: 5.0000e-06 eta: 2:05:57 time: 1.0736 data_time: 0.0261 memory: 32703 grad_norm: 18.3496 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8345 loss: 0.8345 2022/07/31 03:01:16 - mmengine - INFO - Epoch(train) [55][2400/2505] lr: 5.0000e-06 eta: 2:05:37 time: 0.8537 data_time: 0.0289 memory: 32703 grad_norm: 19.2324 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9287 loss: 0.9287 2022/07/31 03:01:39 - mmengine - INFO - Epoch(train) [55][2420/2505] lr: 5.0000e-06 eta: 2:05:18 time: 1.1200 data_time: 0.0318 memory: 32703 grad_norm: 19.4050 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8445 loss: 0.8445 2022/07/31 03:01:57 - mmengine - INFO - Epoch(train) [55][2440/2505] lr: 5.0000e-06 eta: 2:04:58 time: 0.8801 data_time: 0.0319 memory: 32703 grad_norm: 19.1100 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0075 loss: 1.0075 2022/07/31 03:02:18 - mmengine - INFO - Epoch(train) [55][2460/2505] lr: 5.0000e-06 eta: 2:04:38 time: 1.0487 data_time: 0.0274 memory: 32703 grad_norm: 18.7971 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.1091 loss: 1.1091 2022/07/31 03:02:36 - mmengine - INFO - Epoch(train) [55][2480/2505] lr: 5.0000e-06 eta: 2:04:18 time: 0.9051 data_time: 0.0279 memory: 32703 grad_norm: 19.0648 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9911 loss: 0.9911 2022/07/31 03:02:53 - mmengine - INFO - Epoch(train) [55][2500/2505] lr: 5.0000e-06 eta: 2:03:58 time: 0.8694 data_time: 0.0322 memory: 32703 grad_norm: 20.0018 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9243 loss: 0.9243 2022/07/31 03:02:56 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 03:02:56 - mmengine - INFO - Epoch(train) [55][2505/2505] lr: 5.0000e-06 eta: 2:03:58 time: 0.7203 data_time: 0.0259 memory: 32703 grad_norm: 20.4359 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0788 loss: 1.0788 2022/07/31 03:03:22 - mmengine - INFO - Epoch(train) [56][20/2505] lr: 5.0000e-06 eta: 2:03:34 time: 1.3110 data_time: 0.6930 memory: 32703 grad_norm: 19.3224 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8143 loss: 0.8143 2022/07/31 03:03:41 - mmengine - INFO - Epoch(train) [56][40/2505] lr: 5.0000e-06 eta: 2:03:14 time: 0.9297 data_time: 0.3051 memory: 32703 grad_norm: 19.3117 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9906 loss: 0.9906 2022/07/31 03:04:02 - mmengine - INFO - Epoch(train) [56][60/2505] lr: 5.0000e-06 eta: 2:02:54 time: 1.0681 data_time: 0.4348 memory: 32703 grad_norm: 19.4369 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9860 loss: 0.9860 2022/07/31 03:04:21 - mmengine - INFO - Epoch(train) [56][80/2505] lr: 5.0000e-06 eta: 2:02:34 time: 0.9288 data_time: 0.3388 memory: 32703 grad_norm: 19.6827 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8998 loss: 0.8998 2022/07/31 03:04:42 - mmengine - INFO - Epoch(train) [56][100/2505] lr: 5.0000e-06 eta: 2:02:14 time: 1.0708 data_time: 0.4836 memory: 32703 grad_norm: 19.2750 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0728 loss: 1.0728 2022/07/31 03:05:01 - mmengine - INFO - Epoch(train) [56][120/2505] lr: 5.0000e-06 eta: 2:01:55 time: 0.9322 data_time: 0.2677 memory: 32703 grad_norm: 19.4880 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1266 loss: 1.1266 2022/07/31 03:05:22 - mmengine - INFO - Epoch(train) [56][140/2505] lr: 5.0000e-06 eta: 2:01:35 time: 1.0800 data_time: 0.3630 memory: 32703 grad_norm: 19.0365 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9884 loss: 0.9884 2022/07/31 03:05:41 - mmengine - INFO - Epoch(train) [56][160/2505] lr: 5.0000e-06 eta: 2:01:15 time: 0.9215 data_time: 0.2076 memory: 32703 grad_norm: 19.0886 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8809 loss: 0.8809 2022/07/31 03:06:03 - mmengine - INFO - Epoch(train) [56][180/2505] lr: 5.0000e-06 eta: 2:00:55 time: 1.1148 data_time: 0.1885 memory: 32703 grad_norm: 19.2719 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0582 loss: 1.0582 2022/07/31 03:06:22 - mmengine - INFO - Epoch(train) [56][200/2505] lr: 5.0000e-06 eta: 2:00:36 time: 0.9671 data_time: 0.1048 memory: 32703 grad_norm: 19.1961 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8618 loss: 0.8618 2022/07/31 03:06:42 - mmengine - INFO - Epoch(train) [56][220/2505] lr: 5.0000e-06 eta: 2:00:16 time: 0.9868 data_time: 0.0984 memory: 32703 grad_norm: 18.3776 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9552 loss: 0.9552 2022/07/31 03:06:48 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 03:07:00 - mmengine - INFO - Epoch(train) [56][240/2505] lr: 5.0000e-06 eta: 1:59:56 time: 0.8918 data_time: 0.1310 memory: 32703 grad_norm: 19.0246 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8169 loss: 0.8169 2022/07/31 03:07:21 - mmengine - INFO - Epoch(train) [56][260/2505] lr: 5.0000e-06 eta: 1:59:36 time: 1.0327 data_time: 0.2419 memory: 32703 grad_norm: 19.3831 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8929 loss: 0.8929 2022/07/31 03:07:39 - mmengine - INFO - Epoch(train) [56][280/2505] lr: 5.0000e-06 eta: 1:59:16 time: 0.8922 data_time: 0.2163 memory: 32703 grad_norm: 18.6443 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.9511 loss: 0.9511 2022/07/31 03:08:00 - mmengine - INFO - Epoch(train) [56][300/2505] lr: 5.0000e-06 eta: 1:58:57 time: 1.0880 data_time: 0.4045 memory: 32703 grad_norm: 18.9462 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0957 loss: 1.0957 2022/07/31 03:08:19 - mmengine - INFO - Epoch(train) [56][320/2505] lr: 5.0000e-06 eta: 1:58:37 time: 0.9112 data_time: 0.2717 memory: 32703 grad_norm: 18.8983 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7847 loss: 0.7847 2022/07/31 03:08:41 - mmengine - INFO - Epoch(train) [56][340/2505] lr: 5.0000e-06 eta: 1:58:17 time: 1.0951 data_time: 0.4610 memory: 32703 grad_norm: 19.2873 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9212 loss: 0.9212 2022/07/31 03:08:59 - mmengine - INFO - Epoch(train) [56][360/2505] lr: 5.0000e-06 eta: 1:57:57 time: 0.9190 data_time: 0.3301 memory: 32703 grad_norm: 18.6551 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8027 loss: 0.8027 2022/07/31 03:09:20 - mmengine - INFO - Epoch(train) [56][380/2505] lr: 5.0000e-06 eta: 1:57:38 time: 1.0757 data_time: 0.4145 memory: 32703 grad_norm: 19.8395 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9506 loss: 0.9506 2022/07/31 03:09:38 - mmengine - INFO - Epoch(train) [56][400/2505] lr: 5.0000e-06 eta: 1:57:18 time: 0.8557 data_time: 0.2396 memory: 32703 grad_norm: 19.4540 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0798 loss: 1.0798 2022/07/31 03:09:58 - mmengine - INFO - Epoch(train) [56][420/2505] lr: 5.0000e-06 eta: 1:56:58 time: 1.0322 data_time: 0.4468 memory: 32703 grad_norm: 19.4436 top1_acc: 0.4167 top5_acc: 0.5833 loss_cls: 1.1160 loss: 1.1160 2022/07/31 03:10:17 - mmengine - INFO - Epoch(train) [56][440/2505] lr: 5.0000e-06 eta: 1:56:38 time: 0.9348 data_time: 0.3505 memory: 32703 grad_norm: 19.1756 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9197 loss: 0.9197 2022/07/31 03:10:38 - mmengine - INFO - Epoch(train) [56][460/2505] lr: 5.0000e-06 eta: 1:56:18 time: 1.0434 data_time: 0.4235 memory: 32703 grad_norm: 19.2609 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0600 loss: 1.0600 2022/07/31 03:10:57 - mmengine - INFO - Epoch(train) [56][480/2505] lr: 5.0000e-06 eta: 1:55:58 time: 0.9547 data_time: 0.2705 memory: 32703 grad_norm: 18.6977 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.1081 loss: 1.1081 2022/07/31 03:11:18 - mmengine - INFO - Epoch(train) [56][500/2505] lr: 5.0000e-06 eta: 1:55:39 time: 1.0488 data_time: 0.2987 memory: 32703 grad_norm: 19.8182 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0021 loss: 1.0021 2022/07/31 03:11:36 - mmengine - INFO - Epoch(train) [56][520/2505] lr: 5.0000e-06 eta: 1:55:19 time: 0.9014 data_time: 0.2366 memory: 32703 grad_norm: 19.4453 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0560 loss: 1.0560 2022/07/31 03:11:57 - mmengine - INFO - Epoch(train) [56][540/2505] lr: 5.0000e-06 eta: 1:54:59 time: 1.0615 data_time: 0.1728 memory: 32703 grad_norm: 19.7017 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9672 loss: 0.9672 2022/07/31 03:12:15 - mmengine - INFO - Epoch(train) [56][560/2505] lr: 5.0000e-06 eta: 1:54:39 time: 0.8946 data_time: 0.1093 memory: 32703 grad_norm: 19.7614 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9171 loss: 0.9171 2022/07/31 03:12:37 - mmengine - INFO - Epoch(train) [56][580/2505] lr: 5.0000e-06 eta: 1:54:20 time: 1.0952 data_time: 0.1221 memory: 32703 grad_norm: 19.1592 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8894 loss: 0.8894 2022/07/31 03:12:55 - mmengine - INFO - Epoch(train) [56][600/2505] lr: 5.0000e-06 eta: 1:54:00 time: 0.8968 data_time: 0.0638 memory: 32703 grad_norm: 19.1059 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9485 loss: 0.9485 2022/07/31 03:13:15 - mmengine - INFO - Epoch(train) [56][620/2505] lr: 5.0000e-06 eta: 1:53:40 time: 1.0275 data_time: 0.0344 memory: 32703 grad_norm: 19.3409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9682 loss: 0.9682 2022/07/31 03:13:34 - mmengine - INFO - Epoch(train) [56][640/2505] lr: 5.0000e-06 eta: 1:53:20 time: 0.9255 data_time: 0.0271 memory: 32703 grad_norm: 19.0574 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9121 loss: 0.9121 2022/07/31 03:13:55 - mmengine - INFO - Epoch(train) [56][660/2505] lr: 5.0000e-06 eta: 1:53:00 time: 1.0639 data_time: 0.1103 memory: 32703 grad_norm: 18.8507 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8609 loss: 0.8609 2022/07/31 03:14:15 - mmengine - INFO - Epoch(train) [56][680/2505] lr: 5.0000e-06 eta: 1:52:41 time: 0.9612 data_time: 0.0257 memory: 32703 grad_norm: 19.8203 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.3437 loss: 1.3437 2022/07/31 03:14:35 - mmengine - INFO - Epoch(train) [56][700/2505] lr: 5.0000e-06 eta: 1:52:21 time: 1.0003 data_time: 0.0273 memory: 32703 grad_norm: 18.8194 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7686 loss: 0.7686 2022/07/31 03:14:54 - mmengine - INFO - Epoch(train) [56][720/2505] lr: 5.0000e-06 eta: 1:52:01 time: 0.9535 data_time: 0.0252 memory: 32703 grad_norm: 18.7622 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0370 loss: 1.0370 2022/07/31 03:15:15 - mmengine - INFO - Epoch(train) [56][740/2505] lr: 5.0000e-06 eta: 1:51:41 time: 1.0742 data_time: 0.0283 memory: 32703 grad_norm: 19.4295 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9377 loss: 0.9377 2022/07/31 03:15:34 - mmengine - INFO - Epoch(train) [56][760/2505] lr: 5.0000e-06 eta: 1:51:21 time: 0.9372 data_time: 0.0260 memory: 32703 grad_norm: 19.0808 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9033 loss: 0.9033 2022/07/31 03:15:54 - mmengine - INFO - Epoch(train) [56][780/2505] lr: 5.0000e-06 eta: 1:51:02 time: 1.0093 data_time: 0.0355 memory: 32703 grad_norm: 19.5110 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9484 loss: 0.9484 2022/07/31 03:16:13 - mmengine - INFO - Epoch(train) [56][800/2505] lr: 5.0000e-06 eta: 1:50:42 time: 0.9452 data_time: 0.0264 memory: 32703 grad_norm: 19.5836 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9251 loss: 0.9251 2022/07/31 03:16:34 - mmengine - INFO - Epoch(train) [56][820/2505] lr: 5.0000e-06 eta: 1:50:22 time: 1.0427 data_time: 0.0325 memory: 32703 grad_norm: 19.0067 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9914 loss: 0.9914 2022/07/31 03:16:53 - mmengine - INFO - Epoch(train) [56][840/2505] lr: 5.0000e-06 eta: 1:50:02 time: 0.9318 data_time: 0.0254 memory: 32703 grad_norm: 18.6849 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9033 loss: 0.9033 2022/07/31 03:17:14 - mmengine - INFO - Epoch(train) [56][860/2505] lr: 5.0000e-06 eta: 1:49:43 time: 1.0724 data_time: 0.0317 memory: 32703 grad_norm: 18.8948 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9382 loss: 0.9382 2022/07/31 03:17:32 - mmengine - INFO - Epoch(train) [56][880/2505] lr: 5.0000e-06 eta: 1:49:23 time: 0.8969 data_time: 0.0257 memory: 32703 grad_norm: 19.4568 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1165 loss: 1.1165 2022/07/31 03:17:53 - mmengine - INFO - Epoch(train) [56][900/2505] lr: 5.0000e-06 eta: 1:49:03 time: 1.0539 data_time: 0.0288 memory: 32703 grad_norm: 19.2548 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9670 loss: 0.9670 2022/07/31 03:18:12 - mmengine - INFO - Epoch(train) [56][920/2505] lr: 5.0000e-06 eta: 1:48:43 time: 0.9287 data_time: 0.0270 memory: 32703 grad_norm: 19.1256 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7719 loss: 0.7719 2022/07/31 03:18:34 - mmengine - INFO - Epoch(train) [56][940/2505] lr: 5.0000e-06 eta: 1:48:24 time: 1.1005 data_time: 0.0327 memory: 32703 grad_norm: 19.4358 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0400 loss: 1.0400 2022/07/31 03:18:51 - mmengine - INFO - Epoch(train) [56][960/2505] lr: 5.0000e-06 eta: 1:48:04 time: 0.8568 data_time: 0.0272 memory: 32703 grad_norm: 19.8091 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9239 loss: 0.9239 2022/07/31 03:19:10 - mmengine - INFO - Epoch(train) [56][980/2505] lr: 5.0000e-06 eta: 1:47:44 time: 0.9838 data_time: 0.0271 memory: 32703 grad_norm: 19.4668 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8836 loss: 0.8836 2022/07/31 03:19:29 - mmengine - INFO - Epoch(train) [56][1000/2505] lr: 5.0000e-06 eta: 1:47:24 time: 0.9247 data_time: 0.0257 memory: 32703 grad_norm: 19.6312 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9865 loss: 0.9865 2022/07/31 03:19:50 - mmengine - INFO - Epoch(train) [56][1020/2505] lr: 5.0000e-06 eta: 1:47:04 time: 1.0278 data_time: 0.0262 memory: 32703 grad_norm: 18.9356 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9288 loss: 0.9288 2022/07/31 03:20:10 - mmengine - INFO - Epoch(train) [56][1040/2505] lr: 5.0000e-06 eta: 1:46:44 time: 1.0281 data_time: 0.0310 memory: 32703 grad_norm: 18.5809 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0049 loss: 1.0049 2022/07/31 03:20:29 - mmengine - INFO - Epoch(train) [56][1060/2505] lr: 5.0000e-06 eta: 1:46:25 time: 0.9442 data_time: 0.0318 memory: 32703 grad_norm: 18.2111 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.7724 loss: 0.7724 2022/07/31 03:20:50 - mmengine - INFO - Epoch(train) [56][1080/2505] lr: 5.0000e-06 eta: 1:46:05 time: 1.0386 data_time: 0.0263 memory: 32703 grad_norm: 19.6580 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8820 loss: 0.8820 2022/07/31 03:21:08 - mmengine - INFO - Epoch(train) [56][1100/2505] lr: 5.0000e-06 eta: 1:45:45 time: 0.9330 data_time: 0.0326 memory: 32703 grad_norm: 19.4097 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9807 loss: 0.9807 2022/07/31 03:21:29 - mmengine - INFO - Epoch(train) [56][1120/2505] lr: 5.0000e-06 eta: 1:45:25 time: 1.0178 data_time: 0.0264 memory: 32703 grad_norm: 18.6859 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0065 loss: 1.0065 2022/07/31 03:21:48 - mmengine - INFO - Epoch(train) [56][1140/2505] lr: 5.0000e-06 eta: 1:45:05 time: 0.9560 data_time: 0.0300 memory: 32703 grad_norm: 19.8768 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8615 loss: 0.8615 2022/07/31 03:22:08 - mmengine - INFO - Epoch(train) [56][1160/2505] lr: 5.0000e-06 eta: 1:44:46 time: 1.0142 data_time: 0.0287 memory: 32703 grad_norm: 19.0298 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9112 loss: 0.9112 2022/07/31 03:22:29 - mmengine - INFO - Epoch(train) [56][1180/2505] lr: 5.0000e-06 eta: 1:44:26 time: 1.0474 data_time: 0.0289 memory: 32703 grad_norm: 18.9379 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0517 loss: 1.0517 2022/07/31 03:22:48 - mmengine - INFO - Epoch(train) [56][1200/2505] lr: 5.0000e-06 eta: 1:44:06 time: 0.9301 data_time: 0.0289 memory: 32703 grad_norm: 19.5873 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9632 loss: 0.9632 2022/07/31 03:23:09 - mmengine - INFO - Epoch(train) [56][1220/2505] lr: 5.0000e-06 eta: 1:43:46 time: 1.0721 data_time: 0.0267 memory: 32703 grad_norm: 19.0457 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1184 loss: 1.1184 2022/07/31 03:23:12 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 03:23:27 - mmengine - INFO - Epoch(train) [56][1240/2505] lr: 5.0000e-06 eta: 1:43:27 time: 0.9115 data_time: 0.0292 memory: 32703 grad_norm: 19.2374 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8393 loss: 0.8393 2022/07/31 03:23:49 - mmengine - INFO - Epoch(train) [56][1260/2505] lr: 5.0000e-06 eta: 1:43:07 time: 1.0844 data_time: 0.0289 memory: 32703 grad_norm: 20.0551 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1832 loss: 1.1832 2022/07/31 03:24:07 - mmengine - INFO - Epoch(train) [56][1280/2505] lr: 5.0000e-06 eta: 1:42:47 time: 0.8977 data_time: 0.0267 memory: 32703 grad_norm: 19.2812 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.8865 loss: 0.8865 2022/07/31 03:24:28 - mmengine - INFO - Epoch(train) [56][1300/2505] lr: 5.0000e-06 eta: 1:42:27 time: 1.0487 data_time: 0.0297 memory: 32703 grad_norm: 19.4769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9401 loss: 0.9401 2022/07/31 03:24:46 - mmengine - INFO - Epoch(train) [56][1320/2505] lr: 5.0000e-06 eta: 1:42:07 time: 0.9060 data_time: 0.0277 memory: 32703 grad_norm: 19.1366 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9665 loss: 0.9665 2022/07/31 03:25:07 - mmengine - INFO - Epoch(train) [56][1340/2505] lr: 5.0000e-06 eta: 1:41:48 time: 1.0402 data_time: 0.0279 memory: 32703 grad_norm: 18.7841 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9349 loss: 0.9349 2022/07/31 03:25:26 - mmengine - INFO - Epoch(train) [56][1360/2505] lr: 5.0000e-06 eta: 1:41:28 time: 0.9348 data_time: 0.0275 memory: 32703 grad_norm: 19.6259 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9466 loss: 0.9466 2022/07/31 03:25:45 - mmengine - INFO - Epoch(train) [56][1380/2505] lr: 5.0000e-06 eta: 1:41:08 time: 0.9755 data_time: 0.0276 memory: 32703 grad_norm: 19.5915 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.7351 loss: 0.7351 2022/07/31 03:26:05 - mmengine - INFO - Epoch(train) [56][1400/2505] lr: 5.0000e-06 eta: 1:40:48 time: 0.9984 data_time: 0.0285 memory: 32703 grad_norm: 19.1121 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8695 loss: 0.8695 2022/07/31 03:26:25 - mmengine - INFO - Epoch(train) [56][1420/2505] lr: 5.0000e-06 eta: 1:40:29 time: 0.9744 data_time: 0.0260 memory: 32703 grad_norm: 19.8851 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0069 loss: 1.0069 2022/07/31 03:26:44 - mmengine - INFO - Epoch(train) [56][1440/2505] lr: 5.0000e-06 eta: 1:40:09 time: 0.9841 data_time: 0.0267 memory: 32703 grad_norm: 19.4319 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0637 loss: 1.0637 2022/07/31 03:27:04 - mmengine - INFO - Epoch(train) [56][1460/2505] lr: 5.0000e-06 eta: 1:39:49 time: 0.9823 data_time: 0.0276 memory: 32703 grad_norm: 19.3982 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0149 loss: 1.0149 2022/07/31 03:27:24 - mmengine - INFO - Epoch(train) [56][1480/2505] lr: 5.0000e-06 eta: 1:39:29 time: 0.9933 data_time: 0.0275 memory: 32703 grad_norm: 19.4520 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0896 loss: 1.0896 2022/07/31 03:27:44 - mmengine - INFO - Epoch(train) [56][1500/2505] lr: 5.0000e-06 eta: 1:39:09 time: 0.9870 data_time: 0.0277 memory: 32703 grad_norm: 19.2427 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1096 loss: 1.1096 2022/07/31 03:28:04 - mmengine - INFO - Epoch(train) [56][1520/2505] lr: 5.0000e-06 eta: 1:38:50 time: 0.9952 data_time: 0.0316 memory: 32703 grad_norm: 19.5187 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1486 loss: 1.1486 2022/07/31 03:28:23 - mmengine - INFO - Epoch(train) [56][1540/2505] lr: 5.0000e-06 eta: 1:38:30 time: 0.9832 data_time: 0.0287 memory: 32703 grad_norm: 19.8067 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9500 loss: 0.9500 2022/07/31 03:28:44 - mmengine - INFO - Epoch(train) [56][1560/2505] lr: 5.0000e-06 eta: 1:38:10 time: 1.0396 data_time: 0.0270 memory: 32703 grad_norm: 19.2868 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.6392 loss: 0.6392 2022/07/31 03:29:03 - mmengine - INFO - Epoch(train) [56][1580/2505] lr: 5.0000e-06 eta: 1:37:50 time: 0.9363 data_time: 0.0267 memory: 32703 grad_norm: 19.0893 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8846 loss: 0.8846 2022/07/31 03:29:23 - mmengine - INFO - Epoch(train) [56][1600/2505] lr: 5.0000e-06 eta: 1:37:30 time: 1.0322 data_time: 0.0280 memory: 32703 grad_norm: 18.3137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8132 loss: 0.8132 2022/07/31 03:29:44 - mmengine - INFO - Epoch(train) [56][1620/2505] lr: 5.0000e-06 eta: 1:37:11 time: 1.0089 data_time: 0.0247 memory: 32703 grad_norm: 18.9536 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 1.2021 loss: 1.2021 2022/07/31 03:30:02 - mmengine - INFO - Epoch(train) [56][1640/2505] lr: 5.0000e-06 eta: 1:36:51 time: 0.9081 data_time: 0.0300 memory: 32703 grad_norm: 19.0158 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.8903 loss: 0.8903 2022/07/31 03:30:23 - mmengine - INFO - Epoch(train) [56][1660/2505] lr: 5.0000e-06 eta: 1:36:31 time: 1.0764 data_time: 0.0293 memory: 32703 grad_norm: 19.3691 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1370 loss: 1.1370 2022/07/31 03:30:43 - mmengine - INFO - Epoch(train) [56][1680/2505] lr: 5.0000e-06 eta: 1:36:11 time: 0.9945 data_time: 0.0304 memory: 32703 grad_norm: 19.5131 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0158 loss: 1.0158 2022/07/31 03:31:01 - mmengine - INFO - Epoch(train) [56][1700/2505] lr: 5.0000e-06 eta: 1:35:52 time: 0.9044 data_time: 0.0289 memory: 32703 grad_norm: 18.8477 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9474 loss: 0.9474 2022/07/31 03:31:21 - mmengine - INFO - Epoch(train) [56][1720/2505] lr: 5.0000e-06 eta: 1:35:32 time: 0.9909 data_time: 0.0279 memory: 32703 grad_norm: 19.0006 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9966 loss: 0.9966 2022/07/31 03:31:40 - mmengine - INFO - Epoch(train) [56][1740/2505] lr: 5.0000e-06 eta: 1:35:12 time: 0.9466 data_time: 0.0273 memory: 32703 grad_norm: 19.9752 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1469 loss: 1.1469 2022/07/31 03:32:00 - mmengine - INFO - Epoch(train) [56][1760/2505] lr: 5.0000e-06 eta: 1:34:52 time: 0.9852 data_time: 0.0268 memory: 32703 grad_norm: 18.5934 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1431 loss: 1.1431 2022/07/31 03:32:19 - mmengine - INFO - Epoch(train) [56][1780/2505] lr: 5.0000e-06 eta: 1:34:32 time: 0.9499 data_time: 0.0314 memory: 32703 grad_norm: 19.3660 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9934 loss: 0.9934 2022/07/31 03:32:38 - mmengine - INFO - Epoch(train) [56][1800/2505] lr: 5.0000e-06 eta: 1:34:13 time: 0.9772 data_time: 0.0260 memory: 32703 grad_norm: 19.8655 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1274 loss: 1.1274 2022/07/31 03:32:59 - mmengine - INFO - Epoch(train) [56][1820/2505] lr: 5.0000e-06 eta: 1:33:53 time: 1.0061 data_time: 0.0264 memory: 32703 grad_norm: 19.2675 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8155 loss: 0.8155 2022/07/31 03:33:18 - mmengine - INFO - Epoch(train) [56][1840/2505] lr: 5.0000e-06 eta: 1:33:33 time: 0.9781 data_time: 0.0312 memory: 32703 grad_norm: 19.4519 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9559 loss: 0.9559 2022/07/31 03:33:38 - mmengine - INFO - Epoch(train) [56][1860/2505] lr: 5.0000e-06 eta: 1:33:13 time: 0.9692 data_time: 0.0263 memory: 32703 grad_norm: 19.0200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9541 loss: 0.9541 2022/07/31 03:33:57 - mmengine - INFO - Epoch(train) [56][1880/2505] lr: 5.0000e-06 eta: 1:32:53 time: 0.9552 data_time: 0.0309 memory: 32703 grad_norm: 18.9043 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1199 loss: 1.1199 2022/07/31 03:34:17 - mmengine - INFO - Epoch(train) [56][1900/2505] lr: 5.0000e-06 eta: 1:32:34 time: 1.0323 data_time: 0.0290 memory: 32703 grad_norm: 19.2974 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9397 loss: 0.9397 2022/07/31 03:34:36 - mmengine - INFO - Epoch(train) [56][1920/2505] lr: 5.0000e-06 eta: 1:32:14 time: 0.9293 data_time: 0.0293 memory: 32703 grad_norm: 19.6288 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 1.1033 loss: 1.1033 2022/07/31 03:34:56 - mmengine - INFO - Epoch(train) [56][1940/2505] lr: 5.0000e-06 eta: 1:31:54 time: 1.0023 data_time: 0.0288 memory: 32703 grad_norm: 20.6634 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.2477 loss: 1.2477 2022/07/31 03:35:16 - mmengine - INFO - Epoch(train) [56][1960/2505] lr: 5.0000e-06 eta: 1:31:34 time: 1.0036 data_time: 0.0292 memory: 32703 grad_norm: 19.1470 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0460 loss: 1.0460 2022/07/31 03:35:36 - mmengine - INFO - Epoch(train) [56][1980/2505] lr: 5.0000e-06 eta: 1:31:14 time: 0.9924 data_time: 0.0269 memory: 32703 grad_norm: 18.4354 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9117 loss: 0.9117 2022/07/31 03:35:55 - mmengine - INFO - Epoch(train) [56][2000/2505] lr: 5.0000e-06 eta: 1:30:55 time: 0.9587 data_time: 0.0291 memory: 32703 grad_norm: 18.3294 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8407 loss: 0.8407 2022/07/31 03:36:16 - mmengine - INFO - Epoch(train) [56][2020/2505] lr: 5.0000e-06 eta: 1:30:35 time: 1.0391 data_time: 0.0280 memory: 32703 grad_norm: 18.5592 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9245 loss: 0.9245 2022/07/31 03:36:35 - mmengine - INFO - Epoch(train) [56][2040/2505] lr: 5.0000e-06 eta: 1:30:15 time: 0.9388 data_time: 0.0284 memory: 32703 grad_norm: 19.4776 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1363 loss: 1.1363 2022/07/31 03:36:56 - mmengine - INFO - Epoch(train) [56][2060/2505] lr: 5.0000e-06 eta: 1:29:55 time: 1.0740 data_time: 0.0268 memory: 32703 grad_norm: 18.9159 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0496 loss: 1.0496 2022/07/31 03:37:17 - mmengine - INFO - Epoch(train) [56][2080/2505] lr: 5.0000e-06 eta: 1:29:36 time: 1.0230 data_time: 0.0293 memory: 32703 grad_norm: 19.5261 top1_acc: 0.3333 top5_acc: 0.6667 loss_cls: 1.0427 loss: 1.0427 2022/07/31 03:37:35 - mmengine - INFO - Epoch(train) [56][2100/2505] lr: 5.0000e-06 eta: 1:29:16 time: 0.9330 data_time: 0.0270 memory: 32703 grad_norm: 18.3930 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9701 loss: 0.9701 2022/07/31 03:37:56 - mmengine - INFO - Epoch(train) [56][2120/2505] lr: 5.0000e-06 eta: 1:28:56 time: 1.0405 data_time: 0.0290 memory: 32703 grad_norm: 19.7899 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9849 loss: 0.9849 2022/07/31 03:38:14 - mmengine - INFO - Epoch(train) [56][2140/2505] lr: 5.0000e-06 eta: 1:28:36 time: 0.8727 data_time: 0.0296 memory: 32703 grad_norm: 19.5394 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8016 loss: 0.8016 2022/07/31 03:38:34 - mmengine - INFO - Epoch(train) [56][2160/2505] lr: 5.0000e-06 eta: 1:28:16 time: 1.0156 data_time: 0.0285 memory: 32703 grad_norm: 19.3638 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9989 loss: 0.9989 2022/07/31 03:38:54 - mmengine - INFO - Epoch(train) [56][2180/2505] lr: 5.0000e-06 eta: 1:27:57 time: 0.9820 data_time: 0.0265 memory: 32703 grad_norm: 19.1829 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8341 loss: 0.8341 2022/07/31 03:39:13 - mmengine - INFO - Epoch(train) [56][2200/2505] lr: 5.0000e-06 eta: 1:27:37 time: 0.9770 data_time: 0.0329 memory: 32703 grad_norm: 19.6351 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9090 loss: 0.9090 2022/07/31 03:39:34 - mmengine - INFO - Epoch(train) [56][2220/2505] lr: 5.0000e-06 eta: 1:27:17 time: 1.0237 data_time: 0.0267 memory: 32703 grad_norm: 19.1010 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9600 loss: 0.9600 2022/07/31 03:39:39 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 03:39:52 - mmengine - INFO - Epoch(train) [56][2240/2505] lr: 5.0000e-06 eta: 1:26:57 time: 0.9398 data_time: 0.0254 memory: 32703 grad_norm: 18.8009 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9577 loss: 0.9577 2022/07/31 03:40:13 - mmengine - INFO - Epoch(train) [56][2260/2505] lr: 5.0000e-06 eta: 1:26:38 time: 1.0501 data_time: 0.0272 memory: 32703 grad_norm: 19.1583 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8051 loss: 0.8051 2022/07/31 03:40:33 - mmengine - INFO - Epoch(train) [56][2280/2505] lr: 5.0000e-06 eta: 1:26:18 time: 0.9810 data_time: 0.0275 memory: 32703 grad_norm: 19.3889 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.0860 loss: 1.0860 2022/07/31 03:40:52 - mmengine - INFO - Epoch(train) [56][2300/2505] lr: 5.0000e-06 eta: 1:25:58 time: 0.9727 data_time: 0.0270 memory: 32703 grad_norm: 18.8694 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9235 loss: 0.9235 2022/07/31 03:41:13 - mmengine - INFO - Epoch(train) [56][2320/2505] lr: 5.0000e-06 eta: 1:25:38 time: 1.0152 data_time: 0.0273 memory: 32703 grad_norm: 19.2179 top1_acc: 0.5833 top5_acc: 1.0000 loss_cls: 0.9601 loss: 0.9601 2022/07/31 03:41:33 - mmengine - INFO - Epoch(train) [56][2340/2505] lr: 5.0000e-06 eta: 1:25:18 time: 1.0220 data_time: 0.0270 memory: 32703 grad_norm: 19.1870 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8674 loss: 0.8674 2022/07/31 03:41:52 - mmengine - INFO - Epoch(train) [56][2360/2505] lr: 5.0000e-06 eta: 1:24:59 time: 0.9580 data_time: 0.0294 memory: 32703 grad_norm: 18.3841 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9540 loss: 0.9540 2022/07/31 03:42:13 - mmengine - INFO - Epoch(train) [56][2380/2505] lr: 5.0000e-06 eta: 1:24:39 time: 1.0450 data_time: 0.0276 memory: 32703 grad_norm: 19.7154 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0204 loss: 1.0204 2022/07/31 03:42:32 - mmengine - INFO - Epoch(train) [56][2400/2505] lr: 5.0000e-06 eta: 1:24:19 time: 0.9359 data_time: 0.0284 memory: 32703 grad_norm: 18.6612 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8621 loss: 0.8621 2022/07/31 03:42:51 - mmengine - INFO - Epoch(train) [56][2420/2505] lr: 5.0000e-06 eta: 1:23:59 time: 0.9613 data_time: 0.0267 memory: 32703 grad_norm: 20.1989 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9477 loss: 0.9477 2022/07/31 03:43:11 - mmengine - INFO - Epoch(train) [56][2440/2505] lr: 5.0000e-06 eta: 1:23:39 time: 0.9967 data_time: 0.0235 memory: 32703 grad_norm: 19.9476 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8915 loss: 0.8915 2022/07/31 03:43:31 - mmengine - INFO - Epoch(train) [56][2460/2505] lr: 5.0000e-06 eta: 1:23:20 time: 0.9693 data_time: 0.0244 memory: 32703 grad_norm: 18.7558 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0019 loss: 1.0019 2022/07/31 03:43:50 - mmengine - INFO - Epoch(train) [56][2480/2505] lr: 5.0000e-06 eta: 1:23:00 time: 0.9891 data_time: 0.0340 memory: 32703 grad_norm: 18.4401 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7270 loss: 0.7270 2022/07/31 03:44:08 - mmengine - INFO - Epoch(train) [56][2500/2505] lr: 5.0000e-06 eta: 1:22:40 time: 0.8628 data_time: 0.0287 memory: 32703 grad_norm: 20.3581 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8252 loss: 0.8252 2022/07/31 03:44:11 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 03:44:11 - mmengine - INFO - Epoch(train) [56][2505/2505] lr: 5.0000e-06 eta: 1:22:40 time: 0.7594 data_time: 0.0244 memory: 32703 grad_norm: 20.5762 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8383 loss: 0.8383 2022/07/31 03:44:11 - mmengine - INFO - Saving checkpoint at 56 epochs 2022/07/31 03:44:40 - mmengine - INFO - Epoch(train) [57][20/2505] lr: 5.0000e-06 eta: 1:22:15 time: 1.1707 data_time: 0.5728 memory: 32703 grad_norm: 18.7303 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9148 loss: 0.9148 2022/07/31 03:44:59 - mmengine - INFO - Epoch(train) [57][40/2505] lr: 5.0000e-06 eta: 1:21:55 time: 0.9775 data_time: 0.3613 memory: 32703 grad_norm: 18.9515 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9017 loss: 0.9017 2022/07/31 03:45:20 - mmengine - INFO - Epoch(train) [57][60/2505] lr: 5.0000e-06 eta: 1:21:36 time: 1.0176 data_time: 0.4030 memory: 32703 grad_norm: 18.7985 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8366 loss: 0.8366 2022/07/31 03:45:39 - mmengine - INFO - Epoch(train) [57][80/2505] lr: 5.0000e-06 eta: 1:21:16 time: 0.9691 data_time: 0.3704 memory: 32703 grad_norm: 19.3352 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1683 loss: 1.1683 2022/07/31 03:46:00 - mmengine - INFO - Epoch(train) [57][100/2505] lr: 5.0000e-06 eta: 1:20:56 time: 1.0360 data_time: 0.4336 memory: 32703 grad_norm: 19.4517 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9611 loss: 0.9611 2022/07/31 03:46:18 - mmengine - INFO - Epoch(train) [57][120/2505] lr: 5.0000e-06 eta: 1:20:36 time: 0.9306 data_time: 0.3284 memory: 32703 grad_norm: 19.7076 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9558 loss: 0.9558 2022/07/31 03:46:39 - mmengine - INFO - Epoch(train) [57][140/2505] lr: 5.0000e-06 eta: 1:20:17 time: 1.0172 data_time: 0.4262 memory: 32703 grad_norm: 19.3745 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9274 loss: 0.9274 2022/07/31 03:46:58 - mmengine - INFO - Epoch(train) [57][160/2505] lr: 5.0000e-06 eta: 1:19:57 time: 0.9396 data_time: 0.3241 memory: 32703 grad_norm: 18.5557 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9286 loss: 0.9286 2022/07/31 03:47:18 - mmengine - INFO - Epoch(train) [57][180/2505] lr: 5.0000e-06 eta: 1:19:37 time: 1.0055 data_time: 0.3918 memory: 32703 grad_norm: 19.3365 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9505 loss: 0.9505 2022/07/31 03:47:37 - mmengine - INFO - Epoch(train) [57][200/2505] lr: 5.0000e-06 eta: 1:19:17 time: 0.9806 data_time: 0.3913 memory: 32703 grad_norm: 19.8992 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0422 loss: 1.0422 2022/07/31 03:47:56 - mmengine - INFO - Epoch(train) [57][220/2505] lr: 5.0000e-06 eta: 1:18:57 time: 0.9335 data_time: 0.3340 memory: 32703 grad_norm: 18.9288 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9619 loss: 0.9619 2022/07/31 03:48:18 - mmengine - INFO - Epoch(train) [57][240/2505] lr: 5.0000e-06 eta: 1:18:38 time: 1.0814 data_time: 0.4438 memory: 32703 grad_norm: 18.7847 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9371 loss: 0.9371 2022/07/31 03:48:36 - mmengine - INFO - Epoch(train) [57][260/2505] lr: 5.0000e-06 eta: 1:18:18 time: 0.8937 data_time: 0.2838 memory: 32703 grad_norm: 19.4131 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0608 loss: 1.0608 2022/07/31 03:48:57 - mmengine - INFO - Epoch(train) [57][280/2505] lr: 5.0000e-06 eta: 1:17:58 time: 1.0773 data_time: 0.4594 memory: 32703 grad_norm: 19.1843 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0429 loss: 1.0429 2022/07/31 03:49:15 - mmengine - INFO - Epoch(train) [57][300/2505] lr: 5.0000e-06 eta: 1:17:38 time: 0.9090 data_time: 0.2936 memory: 32703 grad_norm: 18.5518 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9505 loss: 0.9505 2022/07/31 03:49:37 - mmengine - INFO - Epoch(train) [57][320/2505] lr: 5.0000e-06 eta: 1:17:18 time: 1.0637 data_time: 0.3976 memory: 32703 grad_norm: 19.0203 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0507 loss: 1.0507 2022/07/31 03:49:55 - mmengine - INFO - Epoch(train) [57][340/2505] lr: 5.0000e-06 eta: 1:16:59 time: 0.9093 data_time: 0.2979 memory: 32703 grad_norm: 19.5682 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7307 loss: 0.7307 2022/07/31 03:50:16 - mmengine - INFO - Epoch(train) [57][360/2505] lr: 5.0000e-06 eta: 1:16:39 time: 1.0709 data_time: 0.4165 memory: 32703 grad_norm: 19.1512 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0438 loss: 1.0438 2022/07/31 03:50:35 - mmengine - INFO - Epoch(train) [57][380/2505] lr: 5.0000e-06 eta: 1:16:19 time: 0.9522 data_time: 0.1791 memory: 32703 grad_norm: 19.2596 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1249 loss: 1.1249 2022/07/31 03:50:54 - mmengine - INFO - Epoch(train) [57][400/2505] lr: 5.0000e-06 eta: 1:15:59 time: 0.9641 data_time: 0.2378 memory: 32703 grad_norm: 19.2461 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.2223 loss: 1.2223 2022/07/31 03:51:15 - mmengine - INFO - Epoch(train) [57][420/2505] lr: 5.0000e-06 eta: 1:15:40 time: 1.0461 data_time: 0.1503 memory: 32703 grad_norm: 19.9380 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1116 loss: 1.1116 2022/07/31 03:51:35 - mmengine - INFO - Epoch(train) [57][440/2505] lr: 5.0000e-06 eta: 1:15:20 time: 0.9705 data_time: 0.0440 memory: 32703 grad_norm: 19.1633 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9128 loss: 0.9128 2022/07/31 03:51:55 - mmengine - INFO - Epoch(train) [57][460/2505] lr: 5.0000e-06 eta: 1:15:00 time: 0.9885 data_time: 0.0371 memory: 32703 grad_norm: 18.9957 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8631 loss: 0.8631 2022/07/31 03:52:14 - mmengine - INFO - Epoch(train) [57][480/2505] lr: 5.0000e-06 eta: 1:14:40 time: 0.9703 data_time: 0.0302 memory: 32703 grad_norm: 19.3101 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8557 loss: 0.8557 2022/07/31 03:52:34 - mmengine - INFO - Epoch(train) [57][500/2505] lr: 5.0000e-06 eta: 1:14:20 time: 0.9939 data_time: 0.0855 memory: 32703 grad_norm: 18.3953 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9678 loss: 0.9678 2022/07/31 03:52:53 - mmengine - INFO - Epoch(train) [57][520/2505] lr: 5.0000e-06 eta: 1:14:01 time: 0.9571 data_time: 0.1146 memory: 32703 grad_norm: 19.2592 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.0211 loss: 1.0211 2022/07/31 03:53:13 - mmengine - INFO - Epoch(train) [57][540/2505] lr: 5.0000e-06 eta: 1:13:41 time: 1.0152 data_time: 0.1164 memory: 32703 grad_norm: 18.9278 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8705 loss: 0.8705 2022/07/31 03:53:32 - mmengine - INFO - Epoch(train) [57][560/2505] lr: 5.0000e-06 eta: 1:13:21 time: 0.9551 data_time: 0.0436 memory: 32703 grad_norm: 18.5680 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0037 loss: 1.0037 2022/07/31 03:53:52 - mmengine - INFO - Epoch(train) [57][580/2505] lr: 5.0000e-06 eta: 1:13:01 time: 0.9930 data_time: 0.0918 memory: 32703 grad_norm: 18.7670 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.7817 loss: 0.7817 2022/07/31 03:54:13 - mmengine - INFO - Epoch(train) [57][600/2505] lr: 5.0000e-06 eta: 1:12:42 time: 1.0250 data_time: 0.0261 memory: 32703 grad_norm: 19.5192 top1_acc: 0.5833 top5_acc: 0.5833 loss_cls: 0.9894 loss: 0.9894 2022/07/31 03:54:32 - mmengine - INFO - Epoch(train) [57][620/2505] lr: 5.0000e-06 eta: 1:12:22 time: 0.9403 data_time: 0.0274 memory: 32703 grad_norm: 20.0814 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7316 loss: 0.7316 2022/07/31 03:54:53 - mmengine - INFO - Epoch(train) [57][640/2505] lr: 5.0000e-06 eta: 1:12:02 time: 1.0815 data_time: 0.0266 memory: 32703 grad_norm: 18.2865 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8960 loss: 0.8960 2022/07/31 03:55:12 - mmengine - INFO - Epoch(train) [57][660/2505] lr: 5.0000e-06 eta: 1:11:42 time: 0.9273 data_time: 0.0289 memory: 32703 grad_norm: 19.3865 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9099 loss: 0.9099 2022/07/31 03:55:32 - mmengine - INFO - Epoch(train) [57][680/2505] lr: 5.0000e-06 eta: 1:11:22 time: 0.9823 data_time: 0.0284 memory: 32703 grad_norm: 19.2955 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9938 loss: 0.9938 2022/07/31 03:55:50 - mmengine - INFO - Epoch(train) [57][700/2505] lr: 5.0000e-06 eta: 1:11:03 time: 0.9416 data_time: 0.0841 memory: 32703 grad_norm: 19.2487 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8876 loss: 0.8876 2022/07/31 03:56:10 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 03:56:10 - mmengine - INFO - Epoch(train) [57][720/2505] lr: 5.0000e-06 eta: 1:10:43 time: 0.9731 data_time: 0.1051 memory: 32703 grad_norm: 19.8389 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0276 loss: 1.0276 2022/07/31 03:56:29 - mmengine - INFO - Epoch(train) [57][740/2505] lr: 5.0000e-06 eta: 1:10:23 time: 0.9327 data_time: 0.0281 memory: 32703 grad_norm: 19.6815 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8366 loss: 0.8366 2022/07/31 03:56:49 - mmengine - INFO - Epoch(train) [57][760/2505] lr: 5.0000e-06 eta: 1:10:03 time: 1.0329 data_time: 0.0285 memory: 32703 grad_norm: 19.6876 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 1.0441 loss: 1.0441 2022/07/31 03:57:08 - mmengine - INFO - Epoch(train) [57][780/2505] lr: 5.0000e-06 eta: 1:09:43 time: 0.9478 data_time: 0.0297 memory: 32703 grad_norm: 19.9335 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0457 loss: 1.0457 2022/07/31 03:57:29 - mmengine - INFO - Epoch(train) [57][800/2505] lr: 5.0000e-06 eta: 1:09:24 time: 1.0340 data_time: 0.0407 memory: 32703 grad_norm: 19.5241 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0496 loss: 1.0496 2022/07/31 03:57:47 - mmengine - INFO - Epoch(train) [57][820/2505] lr: 5.0000e-06 eta: 1:09:04 time: 0.9196 data_time: 0.0322 memory: 32703 grad_norm: 18.4902 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.8712 loss: 0.8712 2022/07/31 03:58:09 - mmengine - INFO - Epoch(train) [57][840/2505] lr: 5.0000e-06 eta: 1:08:44 time: 1.0901 data_time: 0.0363 memory: 32703 grad_norm: 19.9979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1402 loss: 1.1402 2022/07/31 03:58:28 - mmengine - INFO - Epoch(train) [57][860/2505] lr: 5.0000e-06 eta: 1:08:24 time: 0.9366 data_time: 0.0263 memory: 32703 grad_norm: 18.9501 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9145 loss: 0.9145 2022/07/31 03:58:49 - mmengine - INFO - Epoch(train) [57][880/2505] lr: 5.0000e-06 eta: 1:08:05 time: 1.0395 data_time: 0.0287 memory: 32703 grad_norm: 18.9893 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.1116 loss: 1.1116 2022/07/31 03:59:07 - mmengine - INFO - Epoch(train) [57][900/2505] lr: 5.0000e-06 eta: 1:07:45 time: 0.9330 data_time: 0.0290 memory: 32703 grad_norm: 18.7202 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0484 loss: 1.0484 2022/07/31 03:59:28 - mmengine - INFO - Epoch(train) [57][920/2505] lr: 5.0000e-06 eta: 1:07:25 time: 1.0221 data_time: 0.0328 memory: 32703 grad_norm: 19.0599 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9729 loss: 0.9729 2022/07/31 03:59:46 - mmengine - INFO - Epoch(train) [57][940/2505] lr: 5.0000e-06 eta: 1:07:05 time: 0.9203 data_time: 0.0292 memory: 32703 grad_norm: 19.0010 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9501 loss: 0.9501 2022/07/31 04:00:07 - mmengine - INFO - Epoch(train) [57][960/2505] lr: 5.0000e-06 eta: 1:06:45 time: 1.0431 data_time: 0.0270 memory: 32703 grad_norm: 19.8343 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0375 loss: 1.0375 2022/07/31 04:00:27 - mmengine - INFO - Epoch(train) [57][980/2505] lr: 5.0000e-06 eta: 1:06:26 time: 1.0102 data_time: 0.0281 memory: 32703 grad_norm: 19.3698 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0023 loss: 1.0023 2022/07/31 04:00:45 - mmengine - INFO - Epoch(train) [57][1000/2505] lr: 5.0000e-06 eta: 1:06:06 time: 0.9062 data_time: 0.0278 memory: 32703 grad_norm: 19.9259 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9957 loss: 0.9957 2022/07/31 04:01:06 - mmengine - INFO - Epoch(train) [57][1020/2505] lr: 5.0000e-06 eta: 1:05:46 time: 1.0263 data_time: 0.0274 memory: 32703 grad_norm: 18.4791 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8648 loss: 0.8648 2022/07/31 04:01:25 - mmengine - INFO - Epoch(train) [57][1040/2505] lr: 5.0000e-06 eta: 1:05:26 time: 0.9631 data_time: 0.0272 memory: 32703 grad_norm: 19.1590 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0520 loss: 1.0520 2022/07/31 04:01:45 - mmengine - INFO - Epoch(train) [57][1060/2505] lr: 5.0000e-06 eta: 1:05:06 time: 0.9817 data_time: 0.0345 memory: 32703 grad_norm: 19.6568 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.2101 loss: 1.2101 2022/07/31 04:02:05 - mmengine - INFO - Epoch(train) [57][1080/2505] lr: 5.0000e-06 eta: 1:04:47 time: 0.9882 data_time: 0.0303 memory: 32703 grad_norm: 18.9591 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8690 loss: 0.8690 2022/07/31 04:02:25 - mmengine - INFO - Epoch(train) [57][1100/2505] lr: 5.0000e-06 eta: 1:04:27 time: 1.0066 data_time: 0.0313 memory: 32703 grad_norm: 18.9914 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.7467 loss: 0.7467 2022/07/31 04:02:44 - mmengine - INFO - Epoch(train) [57][1120/2505] lr: 5.0000e-06 eta: 1:04:07 time: 0.9480 data_time: 0.0267 memory: 32703 grad_norm: 18.8589 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7554 loss: 0.7554 2022/07/31 04:03:05 - mmengine - INFO - Epoch(train) [57][1140/2505] lr: 5.0000e-06 eta: 1:03:47 time: 1.0500 data_time: 0.0304 memory: 32703 grad_norm: 19.7581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9822 loss: 0.9822 2022/07/31 04:03:23 - mmengine - INFO - Epoch(train) [57][1160/2505] lr: 5.0000e-06 eta: 1:03:27 time: 0.9101 data_time: 0.0267 memory: 32703 grad_norm: 19.5171 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9107 loss: 0.9107 2022/07/31 04:03:43 - mmengine - INFO - Epoch(train) [57][1180/2505] lr: 5.0000e-06 eta: 1:03:08 time: 1.0063 data_time: 0.0262 memory: 32703 grad_norm: 18.9804 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0853 loss: 1.0853 2022/07/31 04:04:03 - mmengine - INFO - Epoch(train) [57][1200/2505] lr: 5.0000e-06 eta: 1:02:48 time: 0.9993 data_time: 0.0327 memory: 32703 grad_norm: 18.9391 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7687 loss: 0.7687 2022/07/31 04:04:24 - mmengine - INFO - Epoch(train) [57][1220/2505] lr: 5.0000e-06 eta: 1:02:28 time: 1.0243 data_time: 0.0330 memory: 32703 grad_norm: 18.5205 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9906 loss: 0.9906 2022/07/31 04:04:43 - mmengine - INFO - Epoch(train) [57][1240/2505] lr: 5.0000e-06 eta: 1:02:08 time: 0.9513 data_time: 0.0310 memory: 32703 grad_norm: 20.1982 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.1061 loss: 1.1061 2022/07/31 04:05:03 - mmengine - INFO - Epoch(train) [57][1260/2505] lr: 5.0000e-06 eta: 1:01:49 time: 0.9997 data_time: 0.0559 memory: 32703 grad_norm: 20.3589 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0656 loss: 1.0656 2022/07/31 04:05:22 - mmengine - INFO - Epoch(train) [57][1280/2505] lr: 5.0000e-06 eta: 1:01:29 time: 0.9793 data_time: 0.0297 memory: 32703 grad_norm: 19.5702 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0430 loss: 1.0430 2022/07/31 04:05:42 - mmengine - INFO - Epoch(train) [57][1300/2505] lr: 5.0000e-06 eta: 1:01:09 time: 0.9884 data_time: 0.1022 memory: 32703 grad_norm: 18.4323 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.7659 loss: 0.7659 2022/07/31 04:06:01 - mmengine - INFO - Epoch(train) [57][1320/2505] lr: 5.0000e-06 eta: 1:00:49 time: 0.9477 data_time: 0.0709 memory: 32703 grad_norm: 19.4076 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8446 loss: 0.8446 2022/07/31 04:06:22 - mmengine - INFO - Epoch(train) [57][1340/2505] lr: 5.0000e-06 eta: 1:00:29 time: 1.0448 data_time: 0.0328 memory: 32703 grad_norm: 19.5616 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8941 loss: 0.8941 2022/07/31 04:06:41 - mmengine - INFO - Epoch(train) [57][1360/2505] lr: 5.0000e-06 eta: 1:00:10 time: 0.9717 data_time: 0.0307 memory: 32703 grad_norm: 18.8836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8803 loss: 0.8803 2022/07/31 04:07:02 - mmengine - INFO - Epoch(train) [57][1380/2505] lr: 5.0000e-06 eta: 0:59:50 time: 1.0263 data_time: 0.0321 memory: 32703 grad_norm: 18.8323 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8942 loss: 0.8942 2022/07/31 04:07:21 - mmengine - INFO - Epoch(train) [57][1400/2505] lr: 5.0000e-06 eta: 0:59:30 time: 0.9521 data_time: 0.0320 memory: 32703 grad_norm: 20.1840 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0830 loss: 1.0830 2022/07/31 04:07:41 - mmengine - INFO - Epoch(train) [57][1420/2505] lr: 5.0000e-06 eta: 0:59:10 time: 1.0263 data_time: 0.0272 memory: 32703 grad_norm: 20.1101 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1698 loss: 1.1698 2022/07/31 04:08:01 - mmengine - INFO - Epoch(train) [57][1440/2505] lr: 5.0000e-06 eta: 0:58:51 time: 0.9701 data_time: 0.0310 memory: 32703 grad_norm: 18.3793 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9009 loss: 0.9009 2022/07/31 04:08:20 - mmengine - INFO - Epoch(train) [57][1460/2505] lr: 5.0000e-06 eta: 0:58:31 time: 0.9451 data_time: 0.0301 memory: 32703 grad_norm: 19.4896 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9184 loss: 0.9184 2022/07/31 04:08:40 - mmengine - INFO - Epoch(train) [57][1480/2505] lr: 5.0000e-06 eta: 0:58:11 time: 1.0056 data_time: 0.0277 memory: 32703 grad_norm: 19.1481 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9078 loss: 0.9078 2022/07/31 04:09:00 - mmengine - INFO - Epoch(train) [57][1500/2505] lr: 5.0000e-06 eta: 0:57:51 time: 1.0101 data_time: 0.0281 memory: 32703 grad_norm: 18.5069 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7635 loss: 0.7635 2022/07/31 04:09:18 - mmengine - INFO - Epoch(train) [57][1520/2505] lr: 5.0000e-06 eta: 0:57:31 time: 0.9031 data_time: 0.0288 memory: 32703 grad_norm: 20.0252 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0603 loss: 1.0603 2022/07/31 04:09:40 - mmengine - INFO - Epoch(train) [57][1540/2505] lr: 5.0000e-06 eta: 0:57:12 time: 1.0877 data_time: 0.0330 memory: 32703 grad_norm: 19.4253 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0066 loss: 1.0066 2022/07/31 04:09:58 - mmengine - INFO - Epoch(train) [57][1560/2505] lr: 5.0000e-06 eta: 0:56:52 time: 0.8898 data_time: 0.0301 memory: 32703 grad_norm: 19.2817 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0044 loss: 1.0044 2022/07/31 04:10:20 - mmengine - INFO - Epoch(train) [57][1580/2505] lr: 5.0000e-06 eta: 0:56:32 time: 1.1131 data_time: 0.0324 memory: 32703 grad_norm: 19.2780 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.9578 loss: 0.9578 2022/07/31 04:10:38 - mmengine - INFO - Epoch(train) [57][1600/2505] lr: 5.0000e-06 eta: 0:56:12 time: 0.9151 data_time: 0.0335 memory: 32703 grad_norm: 18.9919 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8300 loss: 0.8300 2022/07/31 04:10:59 - mmengine - INFO - Epoch(train) [57][1620/2505] lr: 5.0000e-06 eta: 0:55:53 time: 1.0505 data_time: 0.0304 memory: 32703 grad_norm: 19.4467 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.1072 loss: 1.1072 2022/07/31 04:11:17 - mmengine - INFO - Epoch(train) [57][1640/2505] lr: 5.0000e-06 eta: 0:55:33 time: 0.8996 data_time: 0.0296 memory: 32703 grad_norm: 19.5421 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.1916 loss: 1.1916 2022/07/31 04:11:39 - mmengine - INFO - Epoch(train) [57][1660/2505] lr: 5.0000e-06 eta: 0:55:13 time: 1.0691 data_time: 0.0318 memory: 32703 grad_norm: 19.4596 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0712 loss: 1.0712 2022/07/31 04:11:58 - mmengine - INFO - Epoch(train) [57][1680/2505] lr: 5.0000e-06 eta: 0:54:53 time: 0.9456 data_time: 0.0307 memory: 32703 grad_norm: 19.5620 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9915 loss: 0.9915 2022/07/31 04:12:18 - mmengine - INFO - Epoch(train) [57][1700/2505] lr: 5.0000e-06 eta: 0:54:33 time: 1.0371 data_time: 0.0327 memory: 32703 grad_norm: 19.3891 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8577 loss: 0.8577 2022/07/31 04:12:36 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 04:12:37 - mmengine - INFO - Epoch(train) [57][1720/2505] lr: 5.0000e-06 eta: 0:54:14 time: 0.9033 data_time: 0.0307 memory: 32703 grad_norm: 19.2691 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9093 loss: 0.9093 2022/07/31 04:12:58 - mmengine - INFO - Epoch(train) [57][1740/2505] lr: 5.0000e-06 eta: 0:53:54 time: 1.0680 data_time: 0.0309 memory: 32703 grad_norm: 18.6063 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9468 loss: 0.9468 2022/07/31 04:13:16 - mmengine - INFO - Epoch(train) [57][1760/2505] lr: 5.0000e-06 eta: 0:53:34 time: 0.9056 data_time: 0.0308 memory: 32703 grad_norm: 19.5685 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8363 loss: 0.8363 2022/07/31 04:13:37 - mmengine - INFO - Epoch(train) [57][1780/2505] lr: 5.0000e-06 eta: 0:53:14 time: 1.0709 data_time: 0.0291 memory: 32703 grad_norm: 20.1838 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1288 loss: 1.1288 2022/07/31 04:13:55 - mmengine - INFO - Epoch(train) [57][1800/2505] lr: 5.0000e-06 eta: 0:52:54 time: 0.9039 data_time: 0.0281 memory: 32703 grad_norm: 19.2470 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.1096 loss: 1.1096 2022/07/31 04:14:16 - mmengine - INFO - Epoch(train) [57][1820/2505] lr: 5.0000e-06 eta: 0:52:35 time: 1.0257 data_time: 0.0260 memory: 32703 grad_norm: 19.2155 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9610 loss: 0.9610 2022/07/31 04:14:34 - mmengine - INFO - Epoch(train) [57][1840/2505] lr: 5.0000e-06 eta: 0:52:15 time: 0.8903 data_time: 0.0264 memory: 32703 grad_norm: 19.3095 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0501 loss: 1.0501 2022/07/31 04:14:55 - mmengine - INFO - Epoch(train) [57][1860/2505] lr: 5.0000e-06 eta: 0:51:55 time: 1.0473 data_time: 0.0304 memory: 32703 grad_norm: 19.3232 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0842 loss: 1.0842 2022/07/31 04:15:13 - mmengine - INFO - Epoch(train) [57][1880/2505] lr: 5.0000e-06 eta: 0:51:35 time: 0.9249 data_time: 0.0305 memory: 32703 grad_norm: 18.4294 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0848 loss: 1.0848 2022/07/31 04:15:34 - mmengine - INFO - Epoch(train) [57][1900/2505] lr: 5.0000e-06 eta: 0:51:16 time: 1.0437 data_time: 0.0282 memory: 32703 grad_norm: 18.7700 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9322 loss: 0.9322 2022/07/31 04:15:52 - mmengine - INFO - Epoch(train) [57][1920/2505] lr: 5.0000e-06 eta: 0:50:56 time: 0.8958 data_time: 0.0276 memory: 32703 grad_norm: 19.0316 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9926 loss: 0.9926 2022/07/31 04:16:14 - mmengine - INFO - Epoch(train) [57][1940/2505] lr: 5.0000e-06 eta: 0:50:36 time: 1.0863 data_time: 0.0467 memory: 32703 grad_norm: 18.9042 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0405 loss: 1.0405 2022/07/31 04:16:32 - mmengine - INFO - Epoch(train) [57][1960/2505] lr: 5.0000e-06 eta: 0:50:16 time: 0.9070 data_time: 0.0316 memory: 32703 grad_norm: 19.7103 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.8898 loss: 0.8898 2022/07/31 04:16:53 - mmengine - INFO - Epoch(train) [57][1980/2505] lr: 5.0000e-06 eta: 0:49:56 time: 1.0314 data_time: 0.0411 memory: 32703 grad_norm: 19.3140 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 0.9215 loss: 0.9215 2022/07/31 04:17:11 - mmengine - INFO - Epoch(train) [57][2000/2505] lr: 5.0000e-06 eta: 0:49:37 time: 0.9096 data_time: 0.0274 memory: 32703 grad_norm: 18.6492 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8775 loss: 0.8775 2022/07/31 04:17:32 - mmengine - INFO - Epoch(train) [57][2020/2505] lr: 5.0000e-06 eta: 0:49:17 time: 1.0550 data_time: 0.0274 memory: 32703 grad_norm: 18.1503 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9916 loss: 0.9916 2022/07/31 04:17:50 - mmengine - INFO - Epoch(train) [57][2040/2505] lr: 5.0000e-06 eta: 0:48:57 time: 0.9099 data_time: 0.0304 memory: 32703 grad_norm: 18.9388 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9899 loss: 0.9899 2022/07/31 04:18:10 - mmengine - INFO - Epoch(train) [57][2060/2505] lr: 5.0000e-06 eta: 0:48:37 time: 1.0017 data_time: 0.0298 memory: 32703 grad_norm: 18.9915 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9280 loss: 0.9280 2022/07/31 04:18:29 - mmengine - INFO - Epoch(train) [57][2080/2505] lr: 5.0000e-06 eta: 0:48:17 time: 0.9647 data_time: 0.0302 memory: 32703 grad_norm: 18.8590 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8827 loss: 0.8827 2022/07/31 04:18:49 - mmengine - INFO - Epoch(train) [57][2100/2505] lr: 5.0000e-06 eta: 0:47:58 time: 0.9599 data_time: 0.0268 memory: 32703 grad_norm: 18.6086 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0356 loss: 1.0356 2022/07/31 04:19:08 - mmengine - INFO - Epoch(train) [57][2120/2505] lr: 5.0000e-06 eta: 0:47:38 time: 0.9676 data_time: 0.0332 memory: 32703 grad_norm: 18.5618 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8609 loss: 0.8609 2022/07/31 04:19:28 - mmengine - INFO - Epoch(train) [57][2140/2505] lr: 5.0000e-06 eta: 0:47:18 time: 1.0153 data_time: 0.0267 memory: 32703 grad_norm: 19.0591 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8115 loss: 0.8115 2022/07/31 04:19:48 - mmengine - INFO - Epoch(train) [57][2160/2505] lr: 5.0000e-06 eta: 0:46:58 time: 0.9733 data_time: 0.0283 memory: 32703 grad_norm: 19.0839 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0197 loss: 1.0197 2022/07/31 04:20:08 - mmengine - INFO - Epoch(train) [57][2180/2505] lr: 5.0000e-06 eta: 0:46:39 time: 0.9969 data_time: 0.0254 memory: 32703 grad_norm: 19.5993 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0079 loss: 1.0079 2022/07/31 04:20:27 - mmengine - INFO - Epoch(train) [57][2200/2505] lr: 5.0000e-06 eta: 0:46:19 time: 0.9833 data_time: 0.0325 memory: 32703 grad_norm: 18.7836 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9864 loss: 0.9864 2022/07/31 04:20:47 - mmengine - INFO - Epoch(train) [57][2220/2505] lr: 5.0000e-06 eta: 0:45:59 time: 0.9669 data_time: 0.0261 memory: 32703 grad_norm: 18.9426 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8049 loss: 0.8049 2022/07/31 04:21:07 - mmengine - INFO - Epoch(train) [57][2240/2505] lr: 5.0000e-06 eta: 0:45:39 time: 0.9979 data_time: 0.0274 memory: 32703 grad_norm: 18.7047 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 1.0174 loss: 1.0174 2022/07/31 04:21:26 - mmengine - INFO - Epoch(train) [57][2260/2505] lr: 5.0000e-06 eta: 0:45:19 time: 0.9849 data_time: 0.0323 memory: 32703 grad_norm: 19.8772 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0093 loss: 1.0093 2022/07/31 04:21:47 - mmengine - INFO - Epoch(train) [57][2280/2505] lr: 5.0000e-06 eta: 0:45:00 time: 1.0070 data_time: 0.0272 memory: 32703 grad_norm: 19.5633 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7733 loss: 0.7733 2022/07/31 04:22:06 - mmengine - INFO - Epoch(train) [57][2300/2505] lr: 5.0000e-06 eta: 0:44:40 time: 0.9493 data_time: 0.0313 memory: 32703 grad_norm: 19.6731 top1_acc: 0.4167 top5_acc: 0.8333 loss_cls: 0.9819 loss: 0.9819 2022/07/31 04:22:26 - mmengine - INFO - Epoch(train) [57][2320/2505] lr: 5.0000e-06 eta: 0:44:20 time: 1.0256 data_time: 0.0319 memory: 32703 grad_norm: 18.9285 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.9737 loss: 0.9737 2022/07/31 04:22:45 - mmengine - INFO - Epoch(train) [57][2340/2505] lr: 5.0000e-06 eta: 0:44:00 time: 0.9380 data_time: 0.0270 memory: 32703 grad_norm: 19.3736 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0892 loss: 1.0892 2022/07/31 04:23:06 - mmengine - INFO - Epoch(train) [57][2360/2505] lr: 5.0000e-06 eta: 0:43:40 time: 1.0440 data_time: 0.0280 memory: 32703 grad_norm: 18.9381 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7829 loss: 0.7829 2022/07/31 04:23:24 - mmengine - INFO - Epoch(train) [57][2380/2505] lr: 5.0000e-06 eta: 0:43:21 time: 0.9324 data_time: 0.0276 memory: 32703 grad_norm: 19.5562 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0401 loss: 1.0401 2022/07/31 04:23:45 - mmengine - INFO - Epoch(train) [57][2400/2505] lr: 5.0000e-06 eta: 0:43:01 time: 1.0352 data_time: 0.0262 memory: 32703 grad_norm: 18.5146 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9454 loss: 0.9454 2022/07/31 04:24:04 - mmengine - INFO - Epoch(train) [57][2420/2505] lr: 5.0000e-06 eta: 0:42:41 time: 0.9332 data_time: 0.0273 memory: 32703 grad_norm: 18.5994 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9997 loss: 0.9997 2022/07/31 04:24:26 - mmengine - INFO - Epoch(train) [57][2440/2505] lr: 5.0000e-06 eta: 0:42:21 time: 1.0979 data_time: 0.0285 memory: 32703 grad_norm: 19.7370 top1_acc: 0.5000 top5_acc: 0.6667 loss_cls: 0.9428 loss: 0.9428 2022/07/31 04:24:44 - mmengine - INFO - Epoch(train) [57][2460/2505] lr: 5.0000e-06 eta: 0:42:02 time: 0.9067 data_time: 0.0292 memory: 32703 grad_norm: 19.2611 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0282 loss: 1.0282 2022/07/31 04:25:05 - mmengine - INFO - Epoch(train) [57][2480/2505] lr: 5.0000e-06 eta: 0:41:42 time: 1.0583 data_time: 0.0271 memory: 32703 grad_norm: 18.8863 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.7726 loss: 0.7726 2022/07/31 04:25:22 - mmengine - INFO - Epoch(train) [57][2500/2505] lr: 5.0000e-06 eta: 0:41:22 time: 0.8179 data_time: 0.0272 memory: 32703 grad_norm: 20.2118 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9643 loss: 0.9643 2022/07/31 04:25:24 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 04:25:24 - mmengine - INFO - Epoch(train) [57][2505/2505] lr: 5.0000e-06 eta: 0:41:22 time: 0.7852 data_time: 0.0247 memory: 32703 grad_norm: 19.6568 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9245 loss: 0.9245 2022/07/31 04:25:27 - mmengine - INFO - Epoch(val) [57][20/2475] eta: 0:04:49 time: 0.1177 data_time: 0.0898 memory: 817 2022/07/31 04:25:28 - mmengine - INFO - Epoch(val) [57][40/2475] eta: 0:02:53 time: 0.0712 data_time: 0.0421 memory: 817 2022/07/31 04:25:30 - mmengine - INFO - Epoch(val) [57][60/2475] eta: 0:04:19 time: 0.1073 data_time: 0.0796 memory: 817 2022/07/31 04:25:32 - mmengine - INFO - Epoch(val) [57][80/2475] eta: 0:02:58 time: 0.0744 data_time: 0.0459 memory: 817 2022/07/31 04:25:34 - mmengine - INFO - Epoch(val) [57][100/2475] eta: 0:03:50 time: 0.0970 data_time: 0.0689 memory: 817 2022/07/31 04:25:35 - mmengine - INFO - Epoch(val) [57][120/2475] eta: 0:02:42 time: 0.0692 data_time: 0.0406 memory: 817 2022/07/31 04:25:37 - mmengine - INFO - Epoch(val) [57][140/2475] eta: 0:03:39 time: 0.0941 data_time: 0.0599 memory: 817 2022/07/31 04:25:39 - mmengine - INFO - Epoch(val) [57][160/2475] eta: 0:02:52 time: 0.0743 data_time: 0.0473 memory: 817 2022/07/31 04:25:40 - mmengine - INFO - Epoch(val) [57][180/2475] eta: 0:02:32 time: 0.0665 data_time: 0.0367 memory: 817 2022/07/31 04:25:41 - mmengine - INFO - Epoch(val) [57][200/2475] eta: 0:02:48 time: 0.0741 data_time: 0.0456 memory: 817 2022/07/31 04:25:43 - mmengine - INFO - Epoch(val) [57][220/2475] eta: 0:03:12 time: 0.0853 data_time: 0.0581 memory: 817 2022/07/31 04:25:45 - mmengine - INFO - Epoch(val) [57][240/2475] eta: 0:02:47 time: 0.0749 data_time: 0.0471 memory: 817 2022/07/31 04:25:46 - mmengine - INFO - Epoch(val) [57][260/2475] eta: 0:03:32 time: 0.0958 data_time: 0.0681 memory: 817 2022/07/31 04:25:48 - mmengine - INFO - Epoch(val) [57][280/2475] eta: 0:02:33 time: 0.0698 data_time: 0.0425 memory: 817 2022/07/31 04:25:50 - mmengine - INFO - Epoch(val) [57][300/2475] eta: 0:03:22 time: 0.0932 data_time: 0.0670 memory: 817 2022/07/31 04:25:51 - mmengine - INFO - Epoch(val) [57][320/2475] eta: 0:02:30 time: 0.0697 data_time: 0.0438 memory: 817 2022/07/31 04:25:53 - mmengine - INFO - Epoch(val) [57][340/2475] eta: 0:03:10 time: 0.0894 data_time: 0.0629 memory: 817 2022/07/31 04:25:54 - mmengine - INFO - Epoch(val) [57][360/2475] eta: 0:02:31 time: 0.0716 data_time: 0.0447 memory: 817 2022/07/31 04:25:56 - mmengine - INFO - Epoch(val) [57][380/2475] eta: 0:02:54 time: 0.0832 data_time: 0.0520 memory: 817 2022/07/31 04:25:58 - mmengine - INFO - Epoch(val) [57][400/2475] eta: 0:02:35 time: 0.0751 data_time: 0.0467 memory: 817 2022/07/31 04:25:59 - mmengine - INFO - Epoch(val) [57][420/2475] eta: 0:03:02 time: 0.0890 data_time: 0.0613 memory: 817 2022/07/31 04:26:01 - mmengine - INFO - Epoch(val) [57][440/2475] eta: 0:02:31 time: 0.0746 data_time: 0.0475 memory: 817 2022/07/31 04:26:03 - mmengine - INFO - Epoch(val) [57][460/2475] eta: 0:02:57 time: 0.0882 data_time: 0.0613 memory: 817 2022/07/31 04:26:04 - mmengine - INFO - Epoch(val) [57][480/2475] eta: 0:02:19 time: 0.0698 data_time: 0.0412 memory: 817 2022/07/31 04:26:06 - mmengine - INFO - Epoch(val) [57][500/2475] eta: 0:02:59 time: 0.0910 data_time: 0.0651 memory: 817 2022/07/31 04:26:07 - mmengine - INFO - Epoch(val) [57][520/2475] eta: 0:02:15 time: 0.0694 data_time: 0.0434 memory: 817 2022/07/31 04:26:09 - mmengine - INFO - Epoch(val) [57][540/2475] eta: 0:02:44 time: 0.0848 data_time: 0.0560 memory: 817 2022/07/31 04:26:10 - mmengine - INFO - Epoch(val) [57][560/2475] eta: 0:02:02 time: 0.0640 data_time: 0.0355 memory: 817 2022/07/31 04:26:12 - mmengine - INFO - Epoch(val) [57][580/2475] eta: 0:03:14 time: 0.1026 data_time: 0.0751 memory: 817 2022/07/31 04:26:14 - mmengine - INFO - Epoch(val) [57][600/2475] eta: 0:02:59 time: 0.0959 data_time: 0.0686 memory: 817 2022/07/31 04:26:16 - mmengine - INFO - Epoch(val) [57][620/2475] eta: 0:02:16 time: 0.0736 data_time: 0.0458 memory: 817 2022/07/31 04:26:17 - mmengine - INFO - Epoch(val) [57][640/2475] eta: 0:02:34 time: 0.0840 data_time: 0.0564 memory: 817 2022/07/31 04:26:19 - mmengine - INFO - Epoch(val) [57][660/2475] eta: 0:02:13 time: 0.0737 data_time: 0.0454 memory: 817 2022/07/31 04:26:20 - mmengine - INFO - Epoch(val) [57][680/2475] eta: 0:02:28 time: 0.0828 data_time: 0.0550 memory: 817 2022/07/31 04:26:22 - mmengine - INFO - Epoch(val) [57][700/2475] eta: 0:02:18 time: 0.0780 data_time: 0.0497 memory: 817 2022/07/31 04:26:24 - mmengine - INFO - Epoch(val) [57][720/2475] eta: 0:02:57 time: 0.1014 data_time: 0.0726 memory: 817 2022/07/31 04:26:25 - mmengine - INFO - Epoch(val) [57][740/2475] eta: 0:02:00 time: 0.0696 data_time: 0.0429 memory: 817 2022/07/31 04:26:28 - mmengine - INFO - Epoch(val) [57][760/2475] eta: 0:03:00 time: 0.1055 data_time: 0.0770 memory: 817 2022/07/31 04:26:29 - mmengine - INFO - Epoch(val) [57][780/2475] eta: 0:01:40 time: 0.0593 data_time: 0.0304 memory: 817 2022/07/31 04:26:30 - mmengine - INFO - Epoch(val) [57][800/2475] eta: 0:01:58 time: 0.0708 data_time: 0.0425 memory: 817 2022/07/31 04:26:32 - mmengine - INFO - Epoch(val) [57][820/2475] eta: 0:01:53 time: 0.0688 data_time: 0.0428 memory: 817 2022/07/31 04:26:33 - mmengine - INFO - Epoch(val) [57][840/2475] eta: 0:02:28 time: 0.0906 data_time: 0.0641 memory: 817 2022/07/31 04:26:35 - mmengine - INFO - Epoch(val) [57][860/2475] eta: 0:01:52 time: 0.0695 data_time: 0.0431 memory: 817 2022/07/31 04:26:37 - mmengine - INFO - Epoch(val) [57][880/2475] eta: 0:02:16 time: 0.0856 data_time: 0.0543 memory: 817 2022/07/31 04:26:38 - mmengine - INFO - Epoch(val) [57][900/2475] eta: 0:02:18 time: 0.0881 data_time: 0.0616 memory: 817 2022/07/31 04:26:40 - mmengine - INFO - Epoch(val) [57][920/2475] eta: 0:01:55 time: 0.0742 data_time: 0.0468 memory: 817 2022/07/31 04:26:42 - mmengine - INFO - Epoch(val) [57][940/2475] eta: 0:02:14 time: 0.0878 data_time: 0.0604 memory: 817 2022/07/31 04:26:43 - mmengine - INFO - Epoch(val) [57][960/2475] eta: 0:01:52 time: 0.0740 data_time: 0.0470 memory: 817 2022/07/31 04:26:45 - mmengine - INFO - Epoch(val) [57][980/2475] eta: 0:02:15 time: 0.0905 data_time: 0.0641 memory: 817 2022/07/31 04:26:46 - mmengine - INFO - Epoch(val) [57][1000/2475] eta: 0:01:42 time: 0.0698 data_time: 0.0435 memory: 817 2022/07/31 04:26:48 - mmengine - INFO - Epoch(val) [57][1020/2475] eta: 0:02:10 time: 0.0897 data_time: 0.0621 memory: 817 2022/07/31 04:26:50 - mmengine - INFO - Epoch(val) [57][1040/2475] eta: 0:01:48 time: 0.0756 data_time: 0.0487 memory: 817 2022/07/31 04:26:51 - mmengine - INFO - Epoch(val) [57][1060/2475] eta: 0:01:59 time: 0.0841 data_time: 0.0571 memory: 817 2022/07/31 04:26:53 - mmengine - INFO - Epoch(val) [57][1080/2475] eta: 0:01:51 time: 0.0800 data_time: 0.0503 memory: 817 2022/07/31 04:26:55 - mmengine - INFO - Epoch(val) [57][1100/2475] eta: 0:02:04 time: 0.0909 data_time: 0.0606 memory: 817 2022/07/31 04:26:57 - mmengine - INFO - Epoch(val) [57][1120/2475] eta: 0:02:03 time: 0.0911 data_time: 0.0430 memory: 817 2022/07/31 04:26:58 - mmengine - INFO - Epoch(val) [57][1140/2475] eta: 0:01:43 time: 0.0775 data_time: 0.0482 memory: 817 2022/07/31 04:27:00 - mmengine - INFO - Epoch(val) [57][1160/2475] eta: 0:01:35 time: 0.0728 data_time: 0.0460 memory: 817 2022/07/31 04:27:01 - mmengine - INFO - Epoch(val) [57][1180/2475] eta: 0:01:49 time: 0.0843 data_time: 0.0563 memory: 817 2022/07/31 04:27:03 - mmengine - INFO - Epoch(val) [57][1200/2475] eta: 0:01:36 time: 0.0757 data_time: 0.0461 memory: 817 2022/07/31 04:27:04 - mmengine - INFO - Epoch(val) [57][1220/2475] eta: 0:01:40 time: 0.0802 data_time: 0.0506 memory: 817 2022/07/31 04:27:06 - mmengine - INFO - Epoch(val) [57][1240/2475] eta: 0:01:34 time: 0.0768 data_time: 0.0500 memory: 817 2022/07/31 04:27:08 - mmengine - INFO - Epoch(val) [57][1260/2475] eta: 0:01:53 time: 0.0937 data_time: 0.0671 memory: 817 2022/07/31 04:27:09 - mmengine - INFO - Epoch(val) [57][1280/2475] eta: 0:01:27 time: 0.0731 data_time: 0.0447 memory: 817 2022/07/31 04:27:11 - mmengine - INFO - Epoch(val) [57][1300/2475] eta: 0:01:39 time: 0.0848 data_time: 0.0578 memory: 817 2022/07/31 04:27:13 - mmengine - INFO - Epoch(val) [57][1320/2475] eta: 0:01:38 time: 0.0850 data_time: 0.0560 memory: 817 2022/07/31 04:27:14 - mmengine - INFO - Epoch(val) [57][1340/2475] eta: 0:01:34 time: 0.0832 data_time: 0.0572 memory: 817 2022/07/31 04:27:16 - mmengine - INFO - Epoch(val) [57][1360/2475] eta: 0:01:17 time: 0.0696 data_time: 0.0429 memory: 817 2022/07/31 04:27:18 - mmengine - INFO - Epoch(val) [57][1380/2475] eta: 0:01:57 time: 0.1070 data_time: 0.0771 memory: 817 2022/07/31 04:27:19 - mmengine - INFO - Epoch(val) [57][1400/2475] eta: 0:01:17 time: 0.0720 data_time: 0.0428 memory: 817 2022/07/31 04:27:21 - mmengine - INFO - Epoch(val) [57][1420/2475] eta: 0:01:32 time: 0.0876 data_time: 0.0559 memory: 817 2022/07/31 04:27:23 - mmengine - INFO - Epoch(val) [57][1440/2475] eta: 0:01:21 time: 0.0788 data_time: 0.0487 memory: 817 2022/07/31 04:27:24 - mmengine - INFO - Epoch(val) [57][1460/2475] eta: 0:01:28 time: 0.0869 data_time: 0.0557 memory: 817 2022/07/31 04:27:26 - mmengine - INFO - Epoch(val) [57][1480/2475] eta: 0:01:12 time: 0.0727 data_time: 0.0439 memory: 817 2022/07/31 04:27:28 - mmengine - INFO - Epoch(val) [57][1500/2475] eta: 0:01:25 time: 0.0877 data_time: 0.0602 memory: 817 2022/07/31 04:27:29 - mmengine - INFO - Epoch(val) [57][1520/2475] eta: 0:01:13 time: 0.0770 data_time: 0.0484 memory: 817 2022/07/31 04:27:31 - mmengine - INFO - Epoch(val) [57][1540/2475] eta: 0:01:17 time: 0.0828 data_time: 0.0563 memory: 817 2022/07/31 04:27:32 - mmengine - INFO - Epoch(val) [57][1560/2475] eta: 0:01:16 time: 0.0833 data_time: 0.0536 memory: 817 2022/07/31 04:27:34 - mmengine - INFO - Epoch(val) [57][1580/2475] eta: 0:01:11 time: 0.0804 data_time: 0.0502 memory: 817 2022/07/31 04:27:36 - mmengine - INFO - Epoch(val) [57][1600/2475] eta: 0:01:01 time: 0.0704 data_time: 0.0438 memory: 817 2022/07/31 04:27:37 - mmengine - INFO - Epoch(val) [57][1620/2475] eta: 0:01:22 time: 0.0967 data_time: 0.0682 memory: 817 2022/07/31 04:27:39 - mmengine - INFO - Epoch(val) [57][1640/2475] eta: 0:00:57 time: 0.0685 data_time: 0.0372 memory: 817 2022/07/31 04:27:41 - mmengine - INFO - Epoch(val) [57][1660/2475] eta: 0:01:18 time: 0.0965 data_time: 0.0669 memory: 817 2022/07/31 04:27:42 - mmengine - INFO - Epoch(val) [57][1680/2475] eta: 0:00:59 time: 0.0753 data_time: 0.0492 memory: 817 2022/07/31 04:27:44 - mmengine - INFO - Epoch(val) [57][1700/2475] eta: 0:01:12 time: 0.0938 data_time: 0.0654 memory: 817 2022/07/31 04:27:46 - mmengine - INFO - Epoch(val) [57][1720/2475] eta: 0:00:55 time: 0.0738 data_time: 0.0477 memory: 817 2022/07/31 04:27:47 - mmengine - INFO - Epoch(val) [57][1740/2475] eta: 0:00:58 time: 0.0801 data_time: 0.0520 memory: 817 2022/07/31 04:27:49 - mmengine - INFO - Epoch(val) [57][1760/2475] eta: 0:00:50 time: 0.0704 data_time: 0.0441 memory: 817 2022/07/31 04:27:50 - mmengine - INFO - Epoch(val) [57][1780/2475] eta: 0:01:02 time: 0.0901 data_time: 0.0646 memory: 817 2022/07/31 04:27:52 - mmengine - INFO - Epoch(val) [57][1800/2475] eta: 0:00:54 time: 0.0806 data_time: 0.0523 memory: 817 2022/07/31 04:27:54 - mmengine - INFO - Epoch(val) [57][1820/2475] eta: 0:00:57 time: 0.0875 data_time: 0.0599 memory: 817 2022/07/31 04:27:55 - mmengine - INFO - Epoch(val) [57][1840/2475] eta: 0:00:46 time: 0.0734 data_time: 0.0457 memory: 817 2022/07/31 04:27:57 - mmengine - INFO - Epoch(val) [57][1860/2475] eta: 0:00:53 time: 0.0863 data_time: 0.0602 memory: 817 2022/07/31 04:27:58 - mmengine - INFO - Epoch(val) [57][1880/2475] eta: 0:00:42 time: 0.0720 data_time: 0.0448 memory: 817 2022/07/31 04:28:00 - mmengine - INFO - Epoch(val) [57][1900/2475] eta: 0:00:46 time: 0.0812 data_time: 0.0534 memory: 817 2022/07/31 04:28:02 - mmengine - INFO - Epoch(val) [57][1920/2475] eta: 0:00:42 time: 0.0771 data_time: 0.0487 memory: 817 2022/07/31 04:28:03 - mmengine - INFO - Epoch(val) [57][1940/2475] eta: 0:00:41 time: 0.0769 data_time: 0.0455 memory: 817 2022/07/31 04:28:05 - mmengine - INFO - Epoch(val) [57][1960/2475] eta: 0:00:43 time: 0.0843 data_time: 0.0546 memory: 817 2022/07/31 04:28:06 - mmengine - INFO - Epoch(val) [57][1980/2475] eta: 0:00:38 time: 0.0780 data_time: 0.0498 memory: 817 2022/07/31 04:28:08 - mmengine - INFO - Epoch(val) [57][2000/2475] eta: 0:00:41 time: 0.0876 data_time: 0.0604 memory: 817 2022/07/31 04:28:10 - mmengine - INFO - Epoch(val) [57][2020/2475] eta: 0:00:32 time: 0.0724 data_time: 0.0461 memory: 817 2022/07/31 04:28:12 - mmengine - INFO - Epoch(val) [57][2040/2475] eta: 0:00:40 time: 0.0931 data_time: 0.0666 memory: 817 2022/07/31 04:28:13 - mmengine - INFO - Epoch(val) [57][2060/2475] eta: 0:00:30 time: 0.0744 data_time: 0.0464 memory: 817 2022/07/31 04:28:15 - mmengine - INFO - Epoch(val) [57][2080/2475] eta: 0:00:34 time: 0.0869 data_time: 0.0589 memory: 817 2022/07/31 04:28:16 - mmengine - INFO - Epoch(val) [57][2100/2475] eta: 0:00:28 time: 0.0772 data_time: 0.0497 memory: 817 2022/07/31 04:28:18 - mmengine - INFO - Epoch(val) [57][2120/2475] eta: 0:00:30 time: 0.0868 data_time: 0.0601 memory: 817 2022/07/31 04:28:20 - mmengine - INFO - Epoch(val) [57][2140/2475] eta: 0:00:24 time: 0.0718 data_time: 0.0451 memory: 817 2022/07/31 04:28:21 - mmengine - INFO - Epoch(val) [57][2160/2475] eta: 0:00:24 time: 0.0779 data_time: 0.0515 memory: 817 2022/07/31 04:28:23 - mmengine - INFO - Epoch(val) [57][2180/2475] eta: 0:00:26 time: 0.0888 data_time: 0.0620 memory: 817 2022/07/31 04:28:24 - mmengine - INFO - Epoch(val) [57][2200/2475] eta: 0:00:21 time: 0.0768 data_time: 0.0488 memory: 817 2022/07/31 04:28:26 - mmengine - INFO - Epoch(val) [57][2220/2475] eta: 0:00:24 time: 0.0942 data_time: 0.0674 memory: 817 2022/07/31 04:28:28 - mmengine - INFO - Epoch(val) [57][2240/2475] eta: 0:00:18 time: 0.0799 data_time: 0.0530 memory: 817 2022/07/31 04:28:30 - mmengine - INFO - Epoch(val) [57][2260/2475] eta: 0:00:20 time: 0.0972 data_time: 0.0676 memory: 817 2022/07/31 04:28:31 - mmengine - INFO - Epoch(val) [57][2280/2475] eta: 0:00:12 time: 0.0663 data_time: 0.0358 memory: 817 2022/07/31 04:28:33 - mmengine - INFO - Epoch(val) [57][2300/2475] eta: 0:00:15 time: 0.0867 data_time: 0.0578 memory: 817 2022/07/31 04:28:34 - mmengine - INFO - Epoch(val) [57][2320/2475] eta: 0:00:10 time: 0.0691 data_time: 0.0423 memory: 817 2022/07/31 04:28:36 - mmengine - INFO - Epoch(val) [57][2340/2475] eta: 0:00:11 time: 0.0840 data_time: 0.0539 memory: 817 2022/07/31 04:28:38 - mmengine - INFO - Epoch(val) [57][2360/2475] eta: 0:00:08 time: 0.0760 data_time: 0.0493 memory: 817 2022/07/31 04:28:40 - mmengine - INFO - Epoch(val) [57][2380/2475] eta: 0:00:09 time: 0.1026 data_time: 0.0735 memory: 817 2022/07/31 04:28:41 - mmengine - INFO - Epoch(val) [57][2400/2475] eta: 0:00:05 time: 0.0670 data_time: 0.0375 memory: 817 2022/07/31 04:28:43 - mmengine - INFO - Epoch(val) [57][2420/2475] eta: 0:00:04 time: 0.0881 data_time: 0.0566 memory: 817 2022/07/31 04:28:44 - mmengine - INFO - Epoch(val) [57][2440/2475] eta: 0:00:02 time: 0.0657 data_time: 0.0356 memory: 817 2022/07/31 04:28:46 - mmengine - INFO - Epoch(val) [57][2460/2475] eta: 0:00:01 time: 0.0891 data_time: 0.0589 memory: 817 2022/07/31 04:28:48 - mmengine - INFO - Epoch(val) [57][2475/2475] acc/top1: 0.7654 acc/top5: 0.9229 acc/mean1: 0.7653 2022/07/31 04:28:48 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb/best_acc/top1_epoch_55.pth is removed 2022/07/31 04:28:50 - mmengine - INFO - The best checkpoint with 0.7654 acc/top1 at 58 epoch is saved to best_acc/top1_epoch_58.pth. 2022/07/31 04:29:15 - mmengine - INFO - Epoch(train) [58][20/2505] lr: 5.0000e-06 eta: 0:40:57 time: 1.2782 data_time: 0.6877 memory: 32703 grad_norm: 19.8257 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8786 loss: 0.8786 2022/07/31 04:29:34 - mmengine - INFO - Epoch(train) [58][40/2505] lr: 5.0000e-06 eta: 0:40:37 time: 0.9351 data_time: 0.3515 memory: 32703 grad_norm: 19.1036 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9277 loss: 0.9277 2022/07/31 04:29:55 - mmengine - INFO - Epoch(train) [58][60/2505] lr: 5.0000e-06 eta: 0:40:18 time: 1.0677 data_time: 0.4766 memory: 32703 grad_norm: 19.5034 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.1119 loss: 1.1119 2022/07/31 04:30:14 - mmengine - INFO - Epoch(train) [58][80/2505] lr: 5.0000e-06 eta: 0:39:58 time: 0.9497 data_time: 0.3351 memory: 32703 grad_norm: 18.5061 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0032 loss: 1.0032 2022/07/31 04:30:36 - mmengine - INFO - Epoch(train) [58][100/2505] lr: 5.0000e-06 eta: 0:39:38 time: 1.0616 data_time: 0.3128 memory: 32703 grad_norm: 19.3304 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8355 loss: 0.8355 2022/07/31 04:30:54 - mmengine - INFO - Epoch(train) [58][120/2505] lr: 5.0000e-06 eta: 0:39:18 time: 0.9078 data_time: 0.2135 memory: 32703 grad_norm: 19.6203 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0867 loss: 1.0867 2022/07/31 04:31:15 - mmengine - INFO - Epoch(train) [58][140/2505] lr: 5.0000e-06 eta: 0:38:59 time: 1.0517 data_time: 0.2244 memory: 32703 grad_norm: 19.0680 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.0894 loss: 1.0894 2022/07/31 04:31:33 - mmengine - INFO - Epoch(train) [58][160/2505] lr: 5.0000e-06 eta: 0:38:39 time: 0.9092 data_time: 0.1719 memory: 32703 grad_norm: 19.2254 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8392 loss: 0.8392 2022/07/31 04:31:55 - mmengine - INFO - Epoch(train) [58][180/2505] lr: 5.0000e-06 eta: 0:38:19 time: 1.0783 data_time: 0.1219 memory: 32703 grad_norm: 18.7566 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8103 loss: 0.8103 2022/07/31 04:32:13 - mmengine - INFO - Epoch(train) [58][200/2505] lr: 5.0000e-06 eta: 0:37:59 time: 0.9212 data_time: 0.0269 memory: 32703 grad_norm: 19.4626 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7764 loss: 0.7764 2022/07/31 04:32:29 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 04:32:35 - mmengine - INFO - Epoch(train) [58][220/2505] lr: 5.0000e-06 eta: 0:37:39 time: 1.0989 data_time: 0.0313 memory: 32703 grad_norm: 19.2664 top1_acc: 0.6667 top5_acc: 0.6667 loss_cls: 1.0022 loss: 1.0022 2022/07/31 04:32:53 - mmengine - INFO - Epoch(train) [58][240/2505] lr: 5.0000e-06 eta: 0:37:20 time: 0.8781 data_time: 0.0249 memory: 32703 grad_norm: 19.8889 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 1.0483 loss: 1.0483 2022/07/31 04:33:14 - mmengine - INFO - Epoch(train) [58][260/2505] lr: 5.0000e-06 eta: 0:37:00 time: 1.0560 data_time: 0.0289 memory: 32703 grad_norm: 19.5741 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8995 loss: 0.8995 2022/07/31 04:33:32 - mmengine - INFO - Epoch(train) [58][280/2505] lr: 5.0000e-06 eta: 0:36:40 time: 0.9248 data_time: 0.0252 memory: 32703 grad_norm: 18.7479 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.7872 loss: 0.7872 2022/07/31 04:33:53 - mmengine - INFO - Epoch(train) [58][300/2505] lr: 5.0000e-06 eta: 0:36:20 time: 1.0418 data_time: 0.0275 memory: 32703 grad_norm: 19.2045 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8485 loss: 0.8485 2022/07/31 04:34:11 - mmengine - INFO - Epoch(train) [58][320/2505] lr: 5.0000e-06 eta: 0:36:01 time: 0.9077 data_time: 0.0374 memory: 32703 grad_norm: 18.8218 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9380 loss: 0.9380 2022/07/31 04:34:32 - mmengine - INFO - Epoch(train) [58][340/2505] lr: 5.0000e-06 eta: 0:35:41 time: 1.0402 data_time: 0.0557 memory: 32703 grad_norm: 18.4207 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.8344 loss: 0.8344 2022/07/31 04:34:50 - mmengine - INFO - Epoch(train) [58][360/2505] lr: 5.0000e-06 eta: 0:35:21 time: 0.9109 data_time: 0.0396 memory: 32703 grad_norm: 19.1389 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9863 loss: 0.9863 2022/07/31 04:35:12 - mmengine - INFO - Epoch(train) [58][380/2505] lr: 5.0000e-06 eta: 0:35:01 time: 1.0990 data_time: 0.0331 memory: 32703 grad_norm: 19.0435 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9573 loss: 0.9573 2022/07/31 04:35:31 - mmengine - INFO - Epoch(train) [58][400/2505] lr: 5.0000e-06 eta: 0:34:41 time: 0.9080 data_time: 0.0424 memory: 32703 grad_norm: 19.9229 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9576 loss: 0.9576 2022/07/31 04:35:52 - mmengine - INFO - Epoch(train) [58][420/2505] lr: 5.0000e-06 eta: 0:34:22 time: 1.0927 data_time: 0.1079 memory: 32703 grad_norm: 18.9205 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9242 loss: 0.9242 2022/07/31 04:36:11 - mmengine - INFO - Epoch(train) [58][440/2505] lr: 5.0000e-06 eta: 0:34:02 time: 0.9082 data_time: 0.0443 memory: 32703 grad_norm: 18.9228 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9489 loss: 0.9489 2022/07/31 04:36:32 - mmengine - INFO - Epoch(train) [58][460/2505] lr: 5.0000e-06 eta: 0:33:42 time: 1.0757 data_time: 0.1544 memory: 32703 grad_norm: 19.6795 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 1.0716 loss: 1.0716 2022/07/31 04:36:51 - mmengine - INFO - Epoch(train) [58][480/2505] lr: 5.0000e-06 eta: 0:33:22 time: 0.9434 data_time: 0.1667 memory: 32703 grad_norm: 18.4181 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8457 loss: 0.8457 2022/07/31 04:37:12 - mmengine - INFO - Epoch(train) [58][500/2505] lr: 5.0000e-06 eta: 0:33:03 time: 1.0275 data_time: 0.3185 memory: 32703 grad_norm: 19.2511 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0177 loss: 1.0177 2022/07/31 04:37:30 - mmengine - INFO - Epoch(train) [58][520/2505] lr: 5.0000e-06 eta: 0:32:43 time: 0.9161 data_time: 0.2204 memory: 32703 grad_norm: 19.0164 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9706 loss: 0.9706 2022/07/31 04:37:51 - mmengine - INFO - Epoch(train) [58][540/2505] lr: 5.0000e-06 eta: 0:32:23 time: 1.0735 data_time: 0.3924 memory: 32703 grad_norm: 19.3760 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9294 loss: 0.9294 2022/07/31 04:38:09 - mmengine - INFO - Epoch(train) [58][560/2505] lr: 5.0000e-06 eta: 0:32:03 time: 0.8882 data_time: 0.2268 memory: 32703 grad_norm: 19.0196 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.2922 loss: 1.2922 2022/07/31 04:38:30 - mmengine - INFO - Epoch(train) [58][580/2505] lr: 5.0000e-06 eta: 0:31:43 time: 1.0366 data_time: 0.2007 memory: 32703 grad_norm: 18.8739 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9253 loss: 0.9253 2022/07/31 04:38:48 - mmengine - INFO - Epoch(train) [58][600/2505] lr: 5.0000e-06 eta: 0:31:24 time: 0.8855 data_time: 0.0839 memory: 32703 grad_norm: 18.8630 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1437 loss: 1.1437 2022/07/31 04:39:09 - mmengine - INFO - Epoch(train) [58][620/2505] lr: 5.0000e-06 eta: 0:31:04 time: 1.0706 data_time: 0.1066 memory: 32703 grad_norm: 18.7836 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9299 loss: 0.9299 2022/07/31 04:39:27 - mmengine - INFO - Epoch(train) [58][640/2505] lr: 5.0000e-06 eta: 0:30:44 time: 0.9008 data_time: 0.1001 memory: 32703 grad_norm: 19.4182 top1_acc: 0.5833 top5_acc: 0.9167 loss_cls: 1.0540 loss: 1.0540 2022/07/31 04:39:49 - mmengine - INFO - Epoch(train) [58][660/2505] lr: 5.0000e-06 eta: 0:30:24 time: 1.0815 data_time: 0.1948 memory: 32703 grad_norm: 18.4855 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7853 loss: 0.7853 2022/07/31 04:40:08 - mmengine - INFO - Epoch(train) [58][680/2505] lr: 5.0000e-06 eta: 0:30:04 time: 0.9459 data_time: 0.1585 memory: 32703 grad_norm: 18.7728 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9368 loss: 0.9368 2022/07/31 04:40:29 - mmengine - INFO - Epoch(train) [58][700/2505] lr: 5.0000e-06 eta: 0:29:45 time: 1.0500 data_time: 0.1904 memory: 32703 grad_norm: 19.9012 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8613 loss: 0.8613 2022/07/31 04:40:46 - mmengine - INFO - Epoch(train) [58][720/2505] lr: 5.0000e-06 eta: 0:29:25 time: 0.8795 data_time: 0.0745 memory: 32703 grad_norm: 18.5192 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8386 loss: 0.8386 2022/07/31 04:41:07 - mmengine - INFO - Epoch(train) [58][740/2505] lr: 5.0000e-06 eta: 0:29:05 time: 1.0632 data_time: 0.0958 memory: 32703 grad_norm: 19.3840 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8239 loss: 0.8239 2022/07/31 04:41:25 - mmengine - INFO - Epoch(train) [58][760/2505] lr: 5.0000e-06 eta: 0:28:45 time: 0.8736 data_time: 0.0571 memory: 32703 grad_norm: 19.1323 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9331 loss: 0.9331 2022/07/31 04:41:46 - mmengine - INFO - Epoch(train) [58][780/2505] lr: 5.0000e-06 eta: 0:28:26 time: 1.0681 data_time: 0.0308 memory: 32703 grad_norm: 19.1418 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0826 loss: 1.0826 2022/07/31 04:42:04 - mmengine - INFO - Epoch(train) [58][800/2505] lr: 5.0000e-06 eta: 0:28:06 time: 0.9036 data_time: 0.0270 memory: 32703 grad_norm: 19.2905 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9185 loss: 0.9185 2022/07/31 04:42:25 - mmengine - INFO - Epoch(train) [58][820/2505] lr: 5.0000e-06 eta: 0:27:46 time: 1.0503 data_time: 0.0353 memory: 32703 grad_norm: 19.6884 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9589 loss: 0.9589 2022/07/31 04:42:43 - mmengine - INFO - Epoch(train) [58][840/2505] lr: 5.0000e-06 eta: 0:27:26 time: 0.9001 data_time: 0.0615 memory: 32703 grad_norm: 20.3068 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8695 loss: 0.8695 2022/07/31 04:43:04 - mmengine - INFO - Epoch(train) [58][860/2505] lr: 5.0000e-06 eta: 0:27:06 time: 1.0344 data_time: 0.0787 memory: 32703 grad_norm: 19.5745 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9062 loss: 0.9062 2022/07/31 04:43:23 - mmengine - INFO - Epoch(train) [58][880/2505] lr: 5.0000e-06 eta: 0:26:47 time: 0.9245 data_time: 0.0959 memory: 32703 grad_norm: 19.5500 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9718 loss: 0.9718 2022/07/31 04:43:44 - mmengine - INFO - Epoch(train) [58][900/2505] lr: 5.0000e-06 eta: 0:26:27 time: 1.0858 data_time: 0.1325 memory: 32703 grad_norm: 19.3855 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9153 loss: 0.9153 2022/07/31 04:44:02 - mmengine - INFO - Epoch(train) [58][920/2505] lr: 5.0000e-06 eta: 0:26:07 time: 0.8862 data_time: 0.1315 memory: 32703 grad_norm: 18.7311 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 1.1410 loss: 1.1410 2022/07/31 04:44:24 - mmengine - INFO - Epoch(train) [58][940/2505] lr: 5.0000e-06 eta: 0:25:47 time: 1.0672 data_time: 0.2042 memory: 32703 grad_norm: 19.9308 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0318 loss: 1.0318 2022/07/31 04:44:41 - mmengine - INFO - Epoch(train) [58][960/2505] lr: 5.0000e-06 eta: 0:25:28 time: 0.8966 data_time: 0.1271 memory: 32703 grad_norm: 19.1568 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.8775 loss: 0.8775 2022/07/31 04:45:03 - mmengine - INFO - Epoch(train) [58][980/2505] lr: 5.0000e-06 eta: 0:25:08 time: 1.1026 data_time: 0.2279 memory: 32703 grad_norm: 18.9579 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8977 loss: 0.8977 2022/07/31 04:45:23 - mmengine - INFO - Epoch(train) [58][1000/2505] lr: 5.0000e-06 eta: 0:24:48 time: 0.9575 data_time: 0.1413 memory: 32703 grad_norm: 18.4823 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9526 loss: 0.9526 2022/07/31 04:45:44 - mmengine - INFO - Epoch(train) [58][1020/2505] lr: 5.0000e-06 eta: 0:24:28 time: 1.0538 data_time: 0.0271 memory: 32703 grad_norm: 19.1900 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7410 loss: 0.7410 2022/07/31 04:46:02 - mmengine - INFO - Epoch(train) [58][1040/2505] lr: 5.0000e-06 eta: 0:24:08 time: 0.8922 data_time: 0.0286 memory: 32703 grad_norm: 18.6220 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.8797 loss: 0.8797 2022/07/31 04:46:22 - mmengine - INFO - Epoch(train) [58][1060/2505] lr: 5.0000e-06 eta: 0:23:49 time: 1.0312 data_time: 0.0273 memory: 32703 grad_norm: 18.4511 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.9957 loss: 0.9957 2022/07/31 04:46:40 - mmengine - INFO - Epoch(train) [58][1080/2505] lr: 5.0000e-06 eta: 0:23:29 time: 0.8980 data_time: 0.0320 memory: 32703 grad_norm: 19.3675 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9438 loss: 0.9438 2022/07/31 04:47:01 - mmengine - INFO - Epoch(train) [58][1100/2505] lr: 5.0000e-06 eta: 0:23:09 time: 1.0283 data_time: 0.0847 memory: 32703 grad_norm: 19.0431 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8371 loss: 0.8371 2022/07/31 04:47:20 - mmengine - INFO - Epoch(train) [58][1120/2505] lr: 5.0000e-06 eta: 0:22:49 time: 0.9653 data_time: 0.0258 memory: 32703 grad_norm: 18.1637 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9577 loss: 0.9577 2022/07/31 04:47:40 - mmengine - INFO - Epoch(train) [58][1140/2505] lr: 5.0000e-06 eta: 0:22:30 time: 0.9936 data_time: 0.0387 memory: 32703 grad_norm: 18.6494 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7993 loss: 0.7993 2022/07/31 04:48:00 - mmengine - INFO - Epoch(train) [58][1160/2505] lr: 5.0000e-06 eta: 0:22:10 time: 1.0003 data_time: 0.0305 memory: 32703 grad_norm: 19.6832 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 0.9662 loss: 0.9662 2022/07/31 04:48:20 - mmengine - INFO - Epoch(train) [58][1180/2505] lr: 5.0000e-06 eta: 0:21:50 time: 1.0102 data_time: 0.0283 memory: 32703 grad_norm: 18.7574 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 0.8384 loss: 0.8384 2022/07/31 04:48:40 - mmengine - INFO - Epoch(train) [58][1200/2505] lr: 5.0000e-06 eta: 0:21:30 time: 1.0045 data_time: 0.0249 memory: 32703 grad_norm: 19.0863 top1_acc: 0.5833 top5_acc: 0.7500 loss_cls: 0.8488 loss: 0.8488 2022/07/31 04:48:56 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 04:48:59 - mmengine - INFO - Epoch(train) [58][1220/2505] lr: 5.0000e-06 eta: 0:21:10 time: 0.9362 data_time: 0.0288 memory: 32703 grad_norm: 19.2863 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9531 loss: 0.9531 2022/07/31 04:49:20 - mmengine - INFO - Epoch(train) [58][1240/2505] lr: 5.0000e-06 eta: 0:20:51 time: 1.0744 data_time: 0.0248 memory: 32703 grad_norm: 19.2687 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8696 loss: 0.8696 2022/07/31 04:49:39 - mmengine - INFO - Epoch(train) [58][1260/2505] lr: 5.0000e-06 eta: 0:20:31 time: 0.9440 data_time: 0.0291 memory: 32703 grad_norm: 18.4877 top1_acc: 0.5000 top5_acc: 0.8333 loss_cls: 0.9308 loss: 0.9308 2022/07/31 04:50:01 - mmengine - INFO - Epoch(train) [58][1280/2505] lr: 5.0000e-06 eta: 0:20:11 time: 1.0965 data_time: 0.0266 memory: 32703 grad_norm: 19.5500 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0558 loss: 1.0558 2022/07/31 04:50:19 - mmengine - INFO - Epoch(train) [58][1300/2505] lr: 5.0000e-06 eta: 0:19:51 time: 0.8992 data_time: 0.0326 memory: 32703 grad_norm: 18.7233 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9726 loss: 0.9726 2022/07/31 04:50:41 - mmengine - INFO - Epoch(train) [58][1320/2505] lr: 5.0000e-06 eta: 0:19:32 time: 1.0656 data_time: 0.0268 memory: 32703 grad_norm: 19.5602 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9123 loss: 0.9123 2022/07/31 04:50:59 - mmengine - INFO - Epoch(train) [58][1340/2505] lr: 5.0000e-06 eta: 0:19:12 time: 0.9111 data_time: 0.0271 memory: 32703 grad_norm: 18.5423 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9881 loss: 0.9881 2022/07/31 04:51:21 - mmengine - INFO - Epoch(train) [58][1360/2505] lr: 5.0000e-06 eta: 0:18:52 time: 1.0919 data_time: 0.0271 memory: 32703 grad_norm: 19.1726 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9284 loss: 0.9284 2022/07/31 04:51:38 - mmengine - INFO - Epoch(train) [58][1380/2505] lr: 5.0000e-06 eta: 0:18:32 time: 0.8531 data_time: 0.0273 memory: 32703 grad_norm: 19.6120 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.8222 loss: 0.8222 2022/07/31 04:51:59 - mmengine - INFO - Epoch(train) [58][1400/2505] lr: 5.0000e-06 eta: 0:18:12 time: 1.0816 data_time: 0.0271 memory: 32703 grad_norm: 19.2942 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1059 loss: 1.1059 2022/07/31 04:52:18 - mmengine - INFO - Epoch(train) [58][1420/2505] lr: 5.0000e-06 eta: 0:17:53 time: 0.9191 data_time: 0.0313 memory: 32703 grad_norm: 19.5828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9935 loss: 0.9935 2022/07/31 04:52:39 - mmengine - INFO - Epoch(train) [58][1440/2505] lr: 5.0000e-06 eta: 0:17:33 time: 1.0594 data_time: 0.0276 memory: 32703 grad_norm: 19.2885 top1_acc: 0.6667 top5_acc: 1.0000 loss_cls: 0.9558 loss: 0.9558 2022/07/31 04:52:56 - mmengine - INFO - Epoch(train) [58][1460/2505] lr: 5.0000e-06 eta: 0:17:13 time: 0.8600 data_time: 0.0327 memory: 32703 grad_norm: 18.5404 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0388 loss: 1.0388 2022/07/31 04:53:18 - mmengine - INFO - Epoch(train) [58][1480/2505] lr: 5.0000e-06 eta: 0:16:53 time: 1.0616 data_time: 0.0264 memory: 32703 grad_norm: 18.5984 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.7464 loss: 0.7464 2022/07/31 04:53:35 - mmengine - INFO - Epoch(train) [58][1500/2505] lr: 5.0000e-06 eta: 0:16:33 time: 0.9010 data_time: 0.0319 memory: 32703 grad_norm: 18.8125 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0359 loss: 1.0359 2022/07/31 04:53:57 - mmengine - INFO - Epoch(train) [58][1520/2505] lr: 5.0000e-06 eta: 0:16:14 time: 1.0519 data_time: 0.0283 memory: 32703 grad_norm: 19.0339 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8557 loss: 0.8557 2022/07/31 04:54:15 - mmengine - INFO - Epoch(train) [58][1540/2505] lr: 5.0000e-06 eta: 0:15:54 time: 0.9309 data_time: 0.0263 memory: 32703 grad_norm: 19.1749 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9613 loss: 0.9613 2022/07/31 04:54:36 - mmengine - INFO - Epoch(train) [58][1560/2505] lr: 5.0000e-06 eta: 0:15:34 time: 1.0399 data_time: 0.0365 memory: 32703 grad_norm: 18.6695 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1390 loss: 1.1390 2022/07/31 04:54:55 - mmengine - INFO - Epoch(train) [58][1580/2505] lr: 5.0000e-06 eta: 0:15:14 time: 0.9352 data_time: 0.0276 memory: 32703 grad_norm: 19.2674 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8748 loss: 0.8748 2022/07/31 04:55:16 - mmengine - INFO - Epoch(train) [58][1600/2505] lr: 5.0000e-06 eta: 0:14:55 time: 1.0352 data_time: 0.0284 memory: 32703 grad_norm: 19.8239 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9733 loss: 0.9733 2022/07/31 04:55:35 - mmengine - INFO - Epoch(train) [58][1620/2505] lr: 5.0000e-06 eta: 0:14:35 time: 0.9722 data_time: 0.0325 memory: 32703 grad_norm: 19.0110 top1_acc: 0.5833 top5_acc: 0.6667 loss_cls: 0.9721 loss: 0.9721 2022/07/31 04:55:55 - mmengine - INFO - Epoch(train) [58][1640/2505] lr: 5.0000e-06 eta: 0:14:15 time: 1.0111 data_time: 0.0322 memory: 32703 grad_norm: 19.2867 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7866 loss: 0.7866 2022/07/31 04:56:15 - mmengine - INFO - Epoch(train) [58][1660/2505] lr: 5.0000e-06 eta: 0:13:55 time: 0.9739 data_time: 0.0274 memory: 32703 grad_norm: 19.1541 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9914 loss: 0.9914 2022/07/31 04:56:34 - mmengine - INFO - Epoch(train) [58][1680/2505] lr: 5.0000e-06 eta: 0:13:35 time: 0.9477 data_time: 0.0331 memory: 32703 grad_norm: 19.9043 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.8675 loss: 0.8675 2022/07/31 04:56:54 - mmengine - INFO - Epoch(train) [58][1700/2505] lr: 5.0000e-06 eta: 0:13:16 time: 1.0299 data_time: 0.0262 memory: 32703 grad_norm: 19.0224 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9737 loss: 0.9737 2022/07/31 04:57:13 - mmengine - INFO - Epoch(train) [58][1720/2505] lr: 5.0000e-06 eta: 0:12:56 time: 0.9568 data_time: 0.0277 memory: 32703 grad_norm: 18.7239 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 1.1349 loss: 1.1349 2022/07/31 04:57:33 - mmengine - INFO - Epoch(train) [58][1740/2505] lr: 5.0000e-06 eta: 0:12:36 time: 0.9963 data_time: 0.0279 memory: 32703 grad_norm: 19.0563 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.0273 loss: 1.0273 2022/07/31 04:57:53 - mmengine - INFO - Epoch(train) [58][1760/2505] lr: 5.0000e-06 eta: 0:12:16 time: 0.9810 data_time: 0.0289 memory: 32703 grad_norm: 18.1262 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 1.0108 loss: 1.0108 2022/07/31 04:58:13 - mmengine - INFO - Epoch(train) [58][1780/2505] lr: 5.0000e-06 eta: 0:11:57 time: 0.9947 data_time: 0.0296 memory: 32703 grad_norm: 19.6311 top1_acc: 0.4167 top5_acc: 0.6667 loss_cls: 1.1154 loss: 1.1154 2022/07/31 04:58:32 - mmengine - INFO - Epoch(train) [58][1800/2505] lr: 5.0000e-06 eta: 0:11:37 time: 0.9852 data_time: 0.0291 memory: 32703 grad_norm: 19.0900 top1_acc: 0.9167 top5_acc: 1.0000 loss_cls: 0.9408 loss: 0.9408 2022/07/31 04:58:52 - mmengine - INFO - Epoch(train) [58][1820/2505] lr: 5.0000e-06 eta: 0:11:17 time: 0.9845 data_time: 0.0273 memory: 32703 grad_norm: 19.6036 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 0.9222 loss: 0.9222 2022/07/31 04:59:13 - mmengine - INFO - Epoch(train) [58][1840/2505] lr: 5.0000e-06 eta: 0:10:57 time: 1.0278 data_time: 0.0279 memory: 32703 grad_norm: 18.5242 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8627 loss: 0.8627 2022/07/31 04:59:32 - mmengine - INFO - Epoch(train) [58][1860/2505] lr: 5.0000e-06 eta: 0:10:37 time: 0.9598 data_time: 0.0265 memory: 32703 grad_norm: 19.5997 top1_acc: 0.6667 top5_acc: 0.7500 loss_cls: 0.9317 loss: 0.9317 2022/07/31 04:59:51 - mmengine - INFO - Epoch(train) [58][1880/2505] lr: 5.0000e-06 eta: 0:10:18 time: 0.9766 data_time: 0.0282 memory: 32703 grad_norm: 19.3406 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9485 loss: 0.9485 2022/07/31 05:00:11 - mmengine - INFO - Epoch(train) [58][1900/2505] lr: 5.0000e-06 eta: 0:09:58 time: 0.9950 data_time: 0.0278 memory: 32703 grad_norm: 18.6095 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.9221 loss: 0.9221 2022/07/31 05:00:31 - mmengine - INFO - Epoch(train) [58][1920/2505] lr: 5.0000e-06 eta: 0:09:38 time: 0.9912 data_time: 0.0278 memory: 32703 grad_norm: 18.7574 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0097 loss: 1.0097 2022/07/31 05:00:51 - mmengine - INFO - Epoch(train) [58][1940/2505] lr: 5.0000e-06 eta: 0:09:18 time: 0.9702 data_time: 0.0283 memory: 32703 grad_norm: 19.0260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0093 loss: 1.0093 2022/07/31 05:01:10 - mmengine - INFO - Epoch(train) [58][1960/2505] lr: 5.0000e-06 eta: 0:08:59 time: 0.9488 data_time: 0.0474 memory: 32703 grad_norm: 19.7440 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.0379 loss: 1.0379 2022/07/31 05:01:32 - mmengine - INFO - Epoch(train) [58][1980/2505] lr: 5.0000e-06 eta: 0:08:39 time: 1.1030 data_time: 0.0258 memory: 32703 grad_norm: 18.3771 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.7834 loss: 0.7834 2022/07/31 05:01:49 - mmengine - INFO - Epoch(train) [58][2000/2505] lr: 5.0000e-06 eta: 0:08:19 time: 0.8821 data_time: 0.0261 memory: 32703 grad_norm: 20.1356 top1_acc: 0.5000 top5_acc: 0.9167 loss_cls: 1.0085 loss: 1.0085 2022/07/31 05:02:11 - mmengine - INFO - Epoch(train) [58][2020/2505] lr: 5.0000e-06 eta: 0:07:59 time: 1.0743 data_time: 0.0272 memory: 32703 grad_norm: 19.1634 top1_acc: 0.8333 top5_acc: 1.0000 loss_cls: 0.7613 loss: 0.7613 2022/07/31 05:02:28 - mmengine - INFO - Epoch(train) [58][2040/2505] lr: 5.0000e-06 eta: 0:07:39 time: 0.8766 data_time: 0.0302 memory: 32703 grad_norm: 20.0512 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9168 loss: 0.9168 2022/07/31 05:02:50 - mmengine - INFO - Epoch(train) [58][2060/2505] lr: 5.0000e-06 eta: 0:07:20 time: 1.0781 data_time: 0.0272 memory: 32703 grad_norm: 18.7774 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 0.9453 loss: 0.9453 2022/07/31 05:03:08 - mmengine - INFO - Epoch(train) [58][2080/2505] lr: 5.0000e-06 eta: 0:07:00 time: 0.9106 data_time: 0.0289 memory: 32703 grad_norm: 20.0231 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0087 loss: 1.0087 2022/07/31 05:03:31 - mmengine - INFO - Epoch(train) [58][2100/2505] lr: 5.0000e-06 eta: 0:06:40 time: 1.1559 data_time: 0.0273 memory: 32703 grad_norm: 18.5368 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8236 loss: 0.8236 2022/07/31 05:03:49 - mmengine - INFO - Epoch(train) [58][2120/2505] lr: 5.0000e-06 eta: 0:06:20 time: 0.8884 data_time: 0.0279 memory: 32703 grad_norm: 19.8529 top1_acc: 0.6667 top5_acc: 0.9167 loss_cls: 1.0082 loss: 1.0082 2022/07/31 05:04:11 - mmengine - INFO - Epoch(train) [58][2140/2505] lr: 5.0000e-06 eta: 0:06:00 time: 1.0927 data_time: 0.0269 memory: 32703 grad_norm: 18.8398 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 0.9846 loss: 0.9846 2022/07/31 05:04:29 - mmengine - INFO - Epoch(train) [58][2160/2505] lr: 5.0000e-06 eta: 0:05:41 time: 0.8767 data_time: 0.0273 memory: 32703 grad_norm: 19.8919 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 0.9237 loss: 0.9237 2022/07/31 05:04:50 - mmengine - INFO - Epoch(train) [58][2180/2505] lr: 5.0000e-06 eta: 0:05:21 time: 1.0629 data_time: 0.0269 memory: 32703 grad_norm: 18.7663 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9478 loss: 0.9478 2022/07/31 05:05:08 - mmengine - INFO - Epoch(train) [58][2200/2505] lr: 5.0000e-06 eta: 0:05:01 time: 0.9335 data_time: 0.0301 memory: 32703 grad_norm: 19.5227 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8604 loss: 0.8604 2022/07/31 05:05:24 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 05:05:31 - mmengine - INFO - Epoch(train) [58][2220/2505] lr: 5.0000e-06 eta: 0:04:41 time: 1.1062 data_time: 0.0290 memory: 32703 grad_norm: 19.5248 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3066 loss: 1.3066 2022/07/31 05:05:48 - mmengine - INFO - Epoch(train) [58][2240/2505] lr: 5.0000e-06 eta: 0:04:22 time: 0.8520 data_time: 0.0264 memory: 32703 grad_norm: 19.6861 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8068 loss: 0.8068 2022/07/31 05:06:09 - mmengine - INFO - Epoch(train) [58][2260/2505] lr: 5.0000e-06 eta: 0:04:02 time: 1.0659 data_time: 0.0292 memory: 32703 grad_norm: 18.4744 top1_acc: 0.5833 top5_acc: 0.8333 loss_cls: 1.0020 loss: 1.0020 2022/07/31 05:06:27 - mmengine - INFO - Epoch(train) [58][2280/2505] lr: 5.0000e-06 eta: 0:03:42 time: 0.9135 data_time: 0.0281 memory: 32703 grad_norm: 18.5135 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9025 loss: 0.9025 2022/07/31 05:06:48 - mmengine - INFO - Epoch(train) [58][2300/2505] lr: 5.0000e-06 eta: 0:03:22 time: 1.0346 data_time: 0.0297 memory: 32703 grad_norm: 18.3667 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.8387 loss: 0.8387 2022/07/31 05:07:07 - mmengine - INFO - Epoch(train) [58][2320/2505] lr: 5.0000e-06 eta: 0:03:02 time: 0.9285 data_time: 0.0348 memory: 32703 grad_norm: 19.0329 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 1.0623 loss: 1.0623 2022/07/31 05:07:27 - mmengine - INFO - Epoch(train) [58][2340/2505] lr: 5.0000e-06 eta: 0:02:43 time: 1.0416 data_time: 0.0270 memory: 32703 grad_norm: 19.2682 top1_acc: 0.9167 top5_acc: 0.9167 loss_cls: 0.8460 loss: 0.8460 2022/07/31 05:07:46 - mmengine - INFO - Epoch(train) [58][2360/2505] lr: 5.0000e-06 eta: 0:02:23 time: 0.9356 data_time: 0.0255 memory: 32703 grad_norm: 18.6963 top1_acc: 0.6667 top5_acc: 0.8333 loss_cls: 1.0739 loss: 1.0739 2022/07/31 05:08:07 - mmengine - INFO - Epoch(train) [58][2380/2505] lr: 5.0000e-06 eta: 0:02:03 time: 1.0580 data_time: 0.0279 memory: 32703 grad_norm: 19.5190 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1770 loss: 1.1770 2022/07/31 05:08:26 - mmengine - INFO - Epoch(train) [58][2400/2505] lr: 5.0000e-06 eta: 0:01:43 time: 0.9228 data_time: 0.0303 memory: 32703 grad_norm: 18.4498 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.9285 loss: 0.9285 2022/07/31 05:08:47 - mmengine - INFO - Epoch(train) [58][2420/2505] lr: 5.0000e-06 eta: 0:01:24 time: 1.0652 data_time: 0.0282 memory: 32703 grad_norm: 19.3842 top1_acc: 0.8333 top5_acc: 0.8333 loss_cls: 1.1464 loss: 1.1464 2022/07/31 05:09:05 - mmengine - INFO - Epoch(train) [58][2440/2505] lr: 5.0000e-06 eta: 0:01:04 time: 0.9199 data_time: 0.0275 memory: 32703 grad_norm: 18.3866 top1_acc: 0.7500 top5_acc: 0.8333 loss_cls: 0.8018 loss: 0.8018 2022/07/31 05:09:26 - mmengine - INFO - Epoch(train) [58][2460/2505] lr: 5.0000e-06 eta: 0:00:44 time: 1.0078 data_time: 0.0293 memory: 32703 grad_norm: 19.2280 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 1.1014 loss: 1.1014 2022/07/31 05:09:44 - mmengine - INFO - Epoch(train) [58][2480/2505] lr: 5.0000e-06 eta: 0:00:24 time: 0.9254 data_time: 0.0325 memory: 32703 grad_norm: 19.0498 top1_acc: 0.7500 top5_acc: 0.9167 loss_cls: 0.9369 loss: 0.9369 2022/07/31 05:10:02 - mmengine - INFO - Epoch(train) [58][2500/2505] lr: 5.0000e-06 eta: 0:00:04 time: 0.8759 data_time: 0.0260 memory: 32703 grad_norm: 19.5294 top1_acc: 0.8333 top5_acc: 0.9167 loss_cls: 1.0736 loss: 1.0736 2022/07/31 05:10:04 - mmengine - INFO - Exp name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_8xb12_kinetics400_rgb_20220729_120335 2022/07/31 05:10:04 - mmengine - INFO - Epoch(train) [58][2505/2505] lr: 5.0000e-06 eta: 0:00:04 time: 0.7076 data_time: 0.0196 memory: 32703 grad_norm: 19.9446 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1013 loss: 1.1013 2022/07/31 05:10:04 - mmengine - INFO - Saving checkpoint at 58 epochs