2022/08/05 15:03:13 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_gym_limb by HardDiskBackend. 2022/08/05 15:03:24 - mmengine - INFO - Epoch(train) [1][20/161] lr: 2.0000e-01 eta: 5:54:06 time: 0.5501 data_time: 0.1734 memory: 9707 grad_norm: 0.7813 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3037 loss: 4.3037 2022/08/05 15:03:30 - mmengine - INFO - Epoch(train) [1][40/161] lr: 2.0000e-01 eta: 4:43:30 time: 0.3312 data_time: 0.0461 memory: 9707 grad_norm: 0.6918 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 4.0014 loss: 4.0014 2022/08/05 15:03:37 - mmengine - INFO - Epoch(train) [1][60/161] lr: 2.0000e-01 eta: 4:17:42 time: 0.3211 data_time: 0.0450 memory: 9707 grad_norm: 0.6981 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8517 loss: 3.8517 2022/08/05 15:03:43 - mmengine - INFO - Epoch(train) [1][80/161] lr: 2.0000e-01 eta: 4:05:30 time: 0.3257 data_time: 0.0469 memory: 9707 grad_norm: 0.7640 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 3.7421 loss: 3.7421 2022/08/05 15:03:50 - mmengine - INFO - Epoch(train) [1][100/161] lr: 2.0000e-01 eta: 3:58:15 time: 0.3266 data_time: 0.0437 memory: 9707 grad_norm: 0.7829 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 3.5850 loss: 3.5850 2022/08/05 15:03:56 - mmengine - INFO - Epoch(train) [1][120/161] lr: 2.0000e-01 eta: 3:53:31 time: 0.3279 data_time: 0.0504 memory: 9707 grad_norm: 0.8326 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.5202 loss: 3.5202 2022/08/05 15:04:03 - mmengine - INFO - Epoch(train) [1][140/161] lr: 1.9999e-01 eta: 3:49:32 time: 0.3215 data_time: 0.0461 memory: 9707 grad_norm: 0.8919 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.3727 loss: 3.3727 2022/08/05 15:04:09 - mmengine - INFO - Epoch(train) [1][160/161] lr: 1.9999e-01 eta: 3:44:35 time: 0.2976 data_time: 0.0431 memory: 9707 grad_norm: 0.9037 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 3.4603 loss: 3.4603 2022/08/05 15:04:09 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:04:09 - mmengine - INFO - Epoch(train) [1][161/161] lr: 1.9999e-01 eta: 3:44:35 time: 0.2889 data_time: 0.0421 memory: 652 grad_norm: 0.9914 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.5066 loss: 3.5066 2022/08/05 15:04:19 - mmengine - INFO - Epoch(train) [2][20/161] lr: 1.9999e-01 eta: 3:53:04 time: 0.4890 data_time: 0.1762 memory: 9707 grad_norm: 0.8667 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 3.3394 loss: 3.3394 2022/08/05 15:04:25 - mmengine - INFO - Epoch(train) [2][40/161] lr: 1.9999e-01 eta: 3:50:14 time: 0.3213 data_time: 0.0435 memory: 9707 grad_norm: 0.8870 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 3.1071 loss: 3.1071 2022/08/05 15:04:32 - mmengine - INFO - Epoch(train) [2][60/161] lr: 1.9998e-01 eta: 3:48:21 time: 0.3288 data_time: 0.0471 memory: 9707 grad_norm: 0.9157 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.1847 loss: 3.1847 2022/08/05 15:04:38 - mmengine - INFO - Epoch(train) [2][80/161] lr: 1.9998e-01 eta: 3:46:15 time: 0.3194 data_time: 0.0484 memory: 9707 grad_norm: 0.9146 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9276 loss: 2.9276 2022/08/05 15:04:45 - mmengine - INFO - Epoch(train) [2][100/161] lr: 1.9998e-01 eta: 3:44:47 time: 0.3260 data_time: 0.0473 memory: 9707 grad_norm: 0.9493 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.8182 loss: 2.8182 2022/08/05 15:04:51 - mmengine - INFO - Epoch(train) [2][120/161] lr: 1.9997e-01 eta: 3:43:34 time: 0.3273 data_time: 0.0483 memory: 9707 grad_norm: 0.9659 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.6816 loss: 2.6816 2022/08/05 15:04:58 - mmengine - INFO - Epoch(train) [2][140/161] lr: 1.9997e-01 eta: 3:42:15 time: 0.3212 data_time: 0.0418 memory: 9707 grad_norm: 0.9274 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6735 loss: 2.6735 2022/08/05 15:05:04 - mmengine - INFO - Epoch(train) [2][160/161] lr: 1.9997e-01 eta: 3:40:11 time: 0.2988 data_time: 0.0452 memory: 9707 grad_norm: 0.9816 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5479 loss: 2.5479 2022/08/05 15:05:04 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:05:04 - mmengine - INFO - Epoch(train) [2][161/161] lr: 1.9997e-01 eta: 3:40:11 time: 0.2876 data_time: 0.0451 memory: 652 grad_norm: 1.0730 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.7301 loss: 2.7301 2022/08/05 15:05:14 - mmengine - INFO - Epoch(train) [3][20/161] lr: 1.9996e-01 eta: 3:44:56 time: 0.4928 data_time: 0.1528 memory: 9707 grad_norm: 0.8875 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.6540 loss: 2.6540 2022/08/05 15:05:20 - mmengine - INFO - Epoch(train) [3][40/161] lr: 1.9996e-01 eta: 3:43:43 time: 0.3209 data_time: 0.0497 memory: 9707 grad_norm: 0.8971 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6613 loss: 2.6613 2022/08/05 15:05:27 - mmengine - INFO - Epoch(train) [3][60/161] lr: 1.9995e-01 eta: 3:42:51 time: 0.3283 data_time: 0.0475 memory: 9707 grad_norm: 0.9589 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.4242 loss: 2.4242 2022/08/05 15:05:33 - mmengine - INFO - Epoch(train) [3][80/161] lr: 1.9995e-01 eta: 3:42:03 time: 0.3280 data_time: 0.0471 memory: 9707 grad_norm: 1.0128 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2794 loss: 2.2794 2022/08/05 15:05:40 - mmengine - INFO - Epoch(train) [3][100/161] lr: 1.9994e-01 eta: 3:41:08 time: 0.3220 data_time: 0.0487 memory: 9707 grad_norm: 0.9028 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4742 loss: 2.4742 2022/08/05 15:05:46 - mmengine - INFO - Epoch(train) [3][120/161] lr: 1.9994e-01 eta: 3:40:25 time: 0.3264 data_time: 0.0490 memory: 9707 grad_norm: 0.9890 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.4163 loss: 2.4163 2022/08/05 15:05:53 - mmengine - INFO - Epoch(train) [3][140/161] lr: 1.9993e-01 eta: 3:39:43 time: 0.3248 data_time: 0.0469 memory: 9707 grad_norm: 0.9877 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2605 loss: 2.2605 2022/08/05 15:05:59 - mmengine - INFO - Epoch(train) [3][160/161] lr: 1.9992e-01 eta: 3:38:18 time: 0.2963 data_time: 0.0435 memory: 9707 grad_norm: 1.0189 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2173 loss: 2.2173 2022/08/05 15:05:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:05:59 - mmengine - INFO - Epoch(train) [3][161/161] lr: 1.9992e-01 eta: 3:38:18 time: 0.2841 data_time: 0.0415 memory: 652 grad_norm: 1.1082 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.2890 loss: 2.2890 2022/08/05 15:06:08 - mmengine - INFO - Epoch(train) [4][20/161] lr: 1.9992e-01 eta: 3:41:19 time: 0.4844 data_time: 0.1612 memory: 9707 grad_norm: 0.9770 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2287 loss: 2.2287 2022/08/05 15:06:15 - mmengine - INFO - Epoch(train) [4][40/161] lr: 1.9991e-01 eta: 3:40:39 time: 0.3252 data_time: 0.0480 memory: 9707 grad_norm: 0.9991 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1698 loss: 2.1698 2022/08/05 15:06:21 - mmengine - INFO - Epoch(train) [4][60/161] lr: 1.9990e-01 eta: 3:39:59 time: 0.3242 data_time: 0.0444 memory: 9707 grad_norm: 1.0042 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1536 loss: 2.1536 2022/08/05 15:06:28 - mmengine - INFO - Epoch(train) [4][80/161] lr: 1.9990e-01 eta: 3:39:21 time: 0.3236 data_time: 0.0493 memory: 9707 grad_norm: 1.0243 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0409 loss: 2.0409 2022/08/05 15:06:34 - mmengine - INFO - Epoch(train) [4][100/161] lr: 1.9989e-01 eta: 3:38:49 time: 0.3264 data_time: 0.0470 memory: 9707 grad_norm: 1.0503 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9202 loss: 1.9202 2022/08/05 15:06:41 - mmengine - INFO - Epoch(train) [4][120/161] lr: 1.9988e-01 eta: 3:38:20 time: 0.3275 data_time: 0.0459 memory: 9707 grad_norm: 1.0389 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.8893 loss: 1.8893 2022/08/05 15:06:47 - mmengine - INFO - Epoch(train) [4][140/161] lr: 1.9987e-01 eta: 3:37:50 time: 0.3249 data_time: 0.0474 memory: 9707 grad_norm: 0.9546 top1_acc: 0.1875 top5_acc: 0.8125 loss_cls: 1.9394 loss: 1.9394 2022/08/05 15:06:54 - mmengine - INFO - Epoch(train) [4][160/161] lr: 1.9986e-01 eta: 3:37:01 time: 0.3081 data_time: 0.0454 memory: 9707 grad_norm: 1.0104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8252 loss: 1.8252 2022/08/05 15:06:54 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:06:54 - mmengine - INFO - Epoch(train) [4][161/161] lr: 1.9986e-01 eta: 3:37:01 time: 0.2969 data_time: 0.0446 memory: 652 grad_norm: 1.1291 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.0407 loss: 2.0407 2022/08/05 15:07:04 - mmengine - INFO - Epoch(train) [5][20/161] lr: 1.9985e-01 eta: 3:39:39 time: 0.5049 data_time: 0.1431 memory: 9707 grad_norm: 1.1122 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9261 loss: 1.9261 2022/08/05 15:07:10 - mmengine - INFO - Epoch(train) [5][40/161] lr: 1.9985e-01 eta: 3:39:05 time: 0.3224 data_time: 0.0501 memory: 9707 grad_norm: 0.9961 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7980 loss: 1.7980 2022/08/05 15:07:17 - mmengine - INFO - Epoch(train) [5][60/161] lr: 1.9984e-01 eta: 3:38:37 time: 0.3269 data_time: 0.0473 memory: 9707 grad_norm: 1.0315 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7798 loss: 1.7798 2022/08/05 15:07:23 - mmengine - INFO - Epoch(train) [5][80/161] lr: 1.9983e-01 eta: 3:38:07 time: 0.3235 data_time: 0.0484 memory: 9707 grad_norm: 1.0067 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8068 loss: 1.8068 2022/08/05 15:07:30 - mmengine - INFO - Epoch(train) [5][100/161] lr: 1.9982e-01 eta: 3:37:39 time: 0.3243 data_time: 0.0458 memory: 9707 grad_norm: 0.9627 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6292 loss: 1.6292 2022/08/05 15:07:36 - mmengine - INFO - Epoch(train) [5][120/161] lr: 1.9981e-01 eta: 3:37:12 time: 0.3243 data_time: 0.0498 memory: 9707 grad_norm: 1.0024 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6452 loss: 1.6452 2022/08/05 15:07:43 - mmengine - INFO - Epoch(train) [5][140/161] lr: 1.9980e-01 eta: 3:36:48 time: 0.3266 data_time: 0.0448 memory: 9707 grad_norm: 0.9650 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4907 loss: 1.4907 2022/08/05 15:07:49 - mmengine - INFO - Epoch(train) [5][160/161] lr: 1.9979e-01 eta: 3:35:56 time: 0.2957 data_time: 0.0413 memory: 9707 grad_norm: 0.9954 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.5236 loss: 1.5236 2022/08/05 15:07:49 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:07:49 - mmengine - INFO - Epoch(train) [5][161/161] lr: 1.9979e-01 eta: 3:35:56 time: 0.2831 data_time: 0.0384 memory: 652 grad_norm: 1.1313 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.8225 loss: 1.8225 2022/08/05 15:07:59 - mmengine - INFO - Epoch(train) [6][20/161] lr: 1.9978e-01 eta: 3:37:45 time: 0.4863 data_time: 0.1640 memory: 9707 grad_norm: 1.0460 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7166 loss: 1.7166 2022/08/05 15:08:05 - mmengine - INFO - Epoch(train) [6][40/161] lr: 1.9976e-01 eta: 3:37:25 time: 0.3309 data_time: 0.0502 memory: 9707 grad_norm: 1.0048 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6095 loss: 1.6095 2022/08/05 15:08:12 - mmengine - INFO - Epoch(train) [6][60/161] lr: 1.9975e-01 eta: 3:37:01 time: 0.3258 data_time: 0.0440 memory: 9707 grad_norm: 1.0243 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.5688 loss: 1.5688 2022/08/05 15:08:18 - mmengine - INFO - Epoch(train) [6][80/161] lr: 1.9974e-01 eta: 3:36:38 time: 0.3257 data_time: 0.0490 memory: 9707 grad_norm: 1.0918 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5917 loss: 1.5917 2022/08/05 15:08:25 - mmengine - INFO - Epoch(train) [6][100/161] lr: 1.9973e-01 eta: 3:36:17 time: 0.3269 data_time: 0.0477 memory: 9707 grad_norm: 0.9940 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4995 loss: 1.4995 2022/08/05 15:08:31 - mmengine - INFO - Epoch(train) [6][120/161] lr: 1.9972e-01 eta: 3:35:53 time: 0.3237 data_time: 0.0482 memory: 9707 grad_norm: 1.0308 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5208 loss: 1.5208 2022/08/05 15:08:38 - mmengine - INFO - Epoch(train) [6][140/161] lr: 1.9971e-01 eta: 3:35:27 time: 0.3191 data_time: 0.0441 memory: 9707 grad_norm: 1.0181 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4584 loss: 1.4584 2022/08/05 15:08:44 - mmengine - INFO - Epoch(train) [6][160/161] lr: 1.9969e-01 eta: 3:35:03 time: 0.3202 data_time: 0.0485 memory: 9707 grad_norm: 1.0404 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5886 loss: 1.5886 2022/08/05 15:08:44 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:08:44 - mmengine - INFO - Epoch(train) [6][161/161] lr: 1.9969e-01 eta: 3:35:03 time: 0.3085 data_time: 0.0473 memory: 652 grad_norm: 1.1896 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.7886 loss: 1.7886 2022/08/05 15:08:54 - mmengine - INFO - Epoch(train) [7][20/161] lr: 1.9968e-01 eta: 3:36:32 time: 0.4867 data_time: 0.1801 memory: 9707 grad_norm: 1.1445 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6796 loss: 1.6796 2022/08/05 15:08:58 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:09:00 - mmengine - INFO - Epoch(train) [7][40/161] lr: 1.9967e-01 eta: 3:36:08 time: 0.3219 data_time: 0.0474 memory: 9707 grad_norm: 1.0004 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4800 loss: 1.4800 2022/08/05 15:09:07 - mmengine - INFO - Epoch(train) [7][60/161] lr: 1.9965e-01 eta: 3:36:00 time: 0.3435 data_time: 0.0428 memory: 9707 grad_norm: 0.9903 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3380 loss: 1.3380 2022/08/05 15:09:14 - mmengine - INFO - Epoch(train) [7][80/161] lr: 1.9964e-01 eta: 3:35:39 time: 0.3247 data_time: 0.0505 memory: 9707 grad_norm: 0.9893 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.3524 loss: 1.3524 2022/08/05 15:09:20 - mmengine - INFO - Epoch(train) [7][100/161] lr: 1.9963e-01 eta: 3:35:16 time: 0.3208 data_time: 0.0454 memory: 9707 grad_norm: 1.0019 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4383 loss: 1.4383 2022/08/05 15:09:27 - mmengine - INFO - Epoch(train) [7][120/161] lr: 1.9961e-01 eta: 3:35:00 time: 0.3311 data_time: 0.0508 memory: 9707 grad_norm: 1.0252 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3380 loss: 1.3380 2022/08/05 15:09:33 - mmengine - INFO - Epoch(train) [7][140/161] lr: 1.9960e-01 eta: 3:34:38 time: 0.3203 data_time: 0.0450 memory: 9707 grad_norm: 1.0057 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.3126 loss: 1.3126 2022/08/05 15:09:39 - mmengine - INFO - Epoch(train) [7][160/161] lr: 1.9958e-01 eta: 3:33:59 time: 0.2954 data_time: 0.0424 memory: 9707 grad_norm: 0.9940 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3843 loss: 1.3843 2022/08/05 15:09:39 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:09:39 - mmengine - INFO - Epoch(train) [7][161/161] lr: 1.9958e-01 eta: 3:33:59 time: 0.2852 data_time: 0.0401 memory: 652 grad_norm: 1.1461 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 1.4947 loss: 1.4947 2022/08/05 15:09:49 - mmengine - INFO - Epoch(train) [8][20/161] lr: 1.9957e-01 eta: 3:35:22 time: 0.4979 data_time: 0.1533 memory: 9707 grad_norm: 1.1136 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2872 loss: 1.2872 2022/08/05 15:09:56 - mmengine - INFO - Epoch(train) [8][40/161] lr: 1.9955e-01 eta: 3:35:18 time: 0.3485 data_time: 0.0481 memory: 9707 grad_norm: 1.0046 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3650 loss: 1.3650 2022/08/05 15:10:03 - mmengine - INFO - Epoch(train) [8][60/161] lr: 1.9954e-01 eta: 3:35:05 time: 0.3355 data_time: 0.0510 memory: 9707 grad_norm: 0.9834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2454 loss: 1.2454 2022/08/05 15:10:09 - mmengine - INFO - Epoch(train) [8][80/161] lr: 1.9952e-01 eta: 3:34:45 time: 0.3230 data_time: 0.0512 memory: 9707 grad_norm: 1.0653 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3515 loss: 1.3515 2022/08/05 15:10:16 - mmengine - INFO - Epoch(train) [8][100/161] lr: 1.9950e-01 eta: 3:34:27 time: 0.3255 data_time: 0.0467 memory: 9707 grad_norm: 1.0401 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2991 loss: 1.2991 2022/08/05 15:10:22 - mmengine - INFO - Epoch(train) [8][120/161] lr: 1.9949e-01 eta: 3:34:10 time: 0.3272 data_time: 0.0512 memory: 9707 grad_norm: 0.9968 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1591 loss: 1.1591 2022/08/05 15:10:29 - mmengine - INFO - Epoch(train) [8][140/161] lr: 1.9947e-01 eta: 3:33:50 time: 0.3227 data_time: 0.0464 memory: 9707 grad_norm: 1.0419 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.1512 loss: 1.1512 2022/08/05 15:10:35 - mmengine - INFO - Epoch(train) [8][160/161] lr: 1.9945e-01 eta: 3:33:18 time: 0.2985 data_time: 0.0437 memory: 9707 grad_norm: 1.0696 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3458 loss: 1.3458 2022/08/05 15:10:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:10:35 - mmengine - INFO - Epoch(train) [8][161/161] lr: 1.9945e-01 eta: 3:33:18 time: 0.2877 data_time: 0.0426 memory: 652 grad_norm: 1.1942 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.5655 loss: 1.5655 2022/08/05 15:10:44 - mmengine - INFO - Epoch(train) [9][20/161] lr: 1.9944e-01 eta: 3:34:18 time: 0.4784 data_time: 0.1493 memory: 9707 grad_norm: 1.0818 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3686 loss: 1.3686 2022/08/05 15:10:51 - mmengine - INFO - Epoch(train) [9][40/161] lr: 1.9942e-01 eta: 3:34:02 time: 0.3286 data_time: 0.0516 memory: 9707 grad_norm: 1.0090 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4711 loss: 1.4711 2022/08/05 15:10:57 - mmengine - INFO - Epoch(train) [9][60/161] lr: 1.9940e-01 eta: 3:33:42 time: 0.3201 data_time: 0.0464 memory: 9707 grad_norm: 0.9875 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2226 loss: 1.2226 2022/08/05 15:11:04 - mmengine - INFO - Epoch(train) [9][80/161] lr: 1.9938e-01 eta: 3:33:26 time: 0.3264 data_time: 0.0515 memory: 9707 grad_norm: 0.9653 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.2038 loss: 1.2038 2022/08/05 15:11:10 - mmengine - INFO - Epoch(train) [9][100/161] lr: 1.9936e-01 eta: 3:33:08 time: 0.3227 data_time: 0.0460 memory: 9707 grad_norm: 1.0047 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2161 loss: 1.2161 2022/08/05 15:11:17 - mmengine - INFO - Epoch(train) [9][120/161] lr: 1.9935e-01 eta: 3:33:05 time: 0.3520 data_time: 0.0497 memory: 9707 grad_norm: 1.0203 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.0759 loss: 1.0759 2022/08/05 15:11:24 - mmengine - INFO - Epoch(train) [9][140/161] lr: 1.9933e-01 eta: 3:32:50 time: 0.3263 data_time: 0.0478 memory: 9707 grad_norm: 0.9889 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1778 loss: 1.1778 2022/08/05 15:11:30 - mmengine - INFO - Epoch(train) [9][160/161] lr: 1.9931e-01 eta: 3:32:19 time: 0.2963 data_time: 0.0454 memory: 9707 grad_norm: 1.0051 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9973 loss: 0.9973 2022/08/05 15:11:30 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:11:30 - mmengine - INFO - Epoch(train) [9][161/161] lr: 1.9931e-01 eta: 3:32:19 time: 0.2850 data_time: 0.0422 memory: 652 grad_norm: 1.1810 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.1607 loss: 1.1607 2022/08/05 15:11:40 - mmengine - INFO - Epoch(train) [10][20/161] lr: 1.9929e-01 eta: 3:33:11 time: 0.4777 data_time: 0.1544 memory: 9707 grad_norm: 1.2089 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3800 loss: 1.3800 2022/08/05 15:11:46 - mmengine - INFO - Epoch(train) [10][40/161] lr: 1.9927e-01 eta: 3:32:54 time: 0.3238 data_time: 0.0478 memory: 9707 grad_norm: 1.0148 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1920 loss: 1.1920 2022/08/05 15:11:53 - mmengine - INFO - Epoch(train) [10][60/161] lr: 1.9925e-01 eta: 3:32:43 time: 0.3352 data_time: 0.0483 memory: 9707 grad_norm: 0.9799 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1938 loss: 1.1938 2022/08/05 15:11:59 - mmengine - INFO - Epoch(train) [10][80/161] lr: 1.9923e-01 eta: 3:32:26 time: 0.3226 data_time: 0.0451 memory: 9707 grad_norm: 0.9872 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1778 loss: 1.1778 2022/08/05 15:12:06 - mmengine - INFO - Epoch(train) [10][100/161] lr: 1.9921e-01 eta: 3:32:09 time: 0.3218 data_time: 0.0473 memory: 9707 grad_norm: 1.0879 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 1.0650 loss: 1.0650 2022/08/05 15:12:13 - mmengine - INFO - Epoch(train) [10][120/161] lr: 1.9919e-01 eta: 3:32:00 time: 0.3399 data_time: 0.0492 memory: 9707 grad_norm: 1.0673 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2953 loss: 1.2953 2022/08/05 15:12:19 - mmengine - INFO - Epoch(train) [10][140/161] lr: 1.9917e-01 eta: 3:31:42 time: 0.3179 data_time: 0.0449 memory: 9707 grad_norm: 1.0066 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9832 loss: 0.9832 2022/08/05 15:12:25 - mmengine - INFO - Epoch(train) [10][160/161] lr: 1.9915e-01 eta: 3:31:14 time: 0.2971 data_time: 0.0450 memory: 9707 grad_norm: 0.9979 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0525 loss: 1.0525 2022/08/05 15:12:25 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:12:25 - mmengine - INFO - Epoch(train) [10][161/161] lr: 1.9915e-01 eta: 3:31:14 time: 0.2849 data_time: 0.0432 memory: 652 grad_norm: 1.1099 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.1839 loss: 1.1839 2022/08/05 15:12:25 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/08/05 15:12:39 - mmengine - INFO - Epoch(val) [10][20/67] eta: 0:00:21 time: 0.4498 data_time: 0.2696 memory: 1868 2022/08/05 15:12:45 - mmengine - INFO - Epoch(val) [10][40/67] eta: 0:00:07 time: 0.2898 data_time: 0.1185 memory: 1868 2022/08/05 15:12:48 - mmengine - INFO - Epoch(val) [10][60/67] eta: 0:00:01 time: 0.1959 data_time: 0.0672 memory: 1868 2022/08/05 15:12:50 - mmengine - INFO - Epoch(val) [10][67/67] acc/top1: 0.4287 acc/top5: 0.7709 acc/mean1: 0.3104 2022/08/05 15:12:53 - mmengine - INFO - The best checkpoint with 0.4287 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/05 15:13:01 - mmengine - INFO - Epoch(train) [11][20/161] lr: 1.9912e-01 eta: 3:31:34 time: 0.4203 data_time: 0.1483 memory: 9707 grad_norm: 1.0765 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2018 loss: 1.2018 2022/08/05 15:13:07 - mmengine - INFO - Epoch(train) [11][40/161] lr: 1.9910e-01 eta: 3:31:17 time: 0.3195 data_time: 0.0471 memory: 9707 grad_norm: 0.9567 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1127 loss: 1.1127 2022/08/05 15:13:14 - mmengine - INFO - Epoch(train) [11][60/161] lr: 1.9908e-01 eta: 3:31:07 time: 0.3362 data_time: 0.0499 memory: 9707 grad_norm: 1.0928 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0257 loss: 1.0257 2022/08/05 15:13:21 - mmengine - INFO - Epoch(train) [11][80/161] lr: 1.9906e-01 eta: 3:30:52 time: 0.3235 data_time: 0.0471 memory: 9707 grad_norm: 0.9783 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 1.0798 loss: 1.0798 2022/08/05 15:13:27 - mmengine - INFO - Epoch(train) [11][100/161] lr: 1.9904e-01 eta: 3:30:37 time: 0.3238 data_time: 0.0479 memory: 9707 grad_norm: 1.0406 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1338 loss: 1.1338 2022/08/05 15:13:34 - mmengine - INFO - Epoch(train) [11][120/161] lr: 1.9901e-01 eta: 3:30:25 time: 0.3305 data_time: 0.0502 memory: 9707 grad_norm: 1.0828 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0800 loss: 1.0800 2022/08/05 15:13:40 - mmengine - INFO - Epoch(train) [11][140/161] lr: 1.9899e-01 eta: 3:30:10 time: 0.3219 data_time: 0.0478 memory: 9707 grad_norm: 0.9875 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0579 loss: 1.0579 2022/08/05 15:13:46 - mmengine - INFO - Epoch(train) [11][160/161] lr: 1.9897e-01 eta: 3:29:48 time: 0.3070 data_time: 0.0431 memory: 9707 grad_norm: 1.0563 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1002 loss: 1.1002 2022/08/05 15:13:46 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:13:46 - mmengine - INFO - Epoch(train) [11][161/161] lr: 1.9897e-01 eta: 3:29:48 time: 0.2954 data_time: 0.0430 memory: 652 grad_norm: 1.1860 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1407 loss: 1.1407 2022/08/05 15:13:56 - mmengine - INFO - Epoch(train) [12][20/161] lr: 1.9894e-01 eta: 3:30:27 time: 0.4710 data_time: 0.1391 memory: 9707 grad_norm: 1.1211 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1231 loss: 1.1231 2022/08/05 15:14:02 - mmengine - INFO - Epoch(train) [12][40/161] lr: 1.9892e-01 eta: 3:30:13 time: 0.3243 data_time: 0.0476 memory: 9707 grad_norm: 0.9592 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0798 loss: 1.0798 2022/08/05 15:14:09 - mmengine - INFO - Epoch(train) [12][60/161] lr: 1.9890e-01 eta: 3:29:59 time: 0.3238 data_time: 0.0473 memory: 9707 grad_norm: 1.0151 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0719 loss: 1.0719 2022/08/05 15:14:15 - mmengine - INFO - Epoch(train) [12][80/161] lr: 1.9887e-01 eta: 3:29:47 time: 0.3306 data_time: 0.0483 memory: 9707 grad_norm: 0.9401 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.0655 loss: 1.0655 2022/08/05 15:14:22 - mmengine - INFO - Epoch(train) [12][100/161] lr: 1.9885e-01 eta: 3:29:33 time: 0.3230 data_time: 0.0463 memory: 9707 grad_norm: 1.0329 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0082 loss: 1.0082 2022/08/05 15:14:28 - mmengine - INFO - Epoch(train) [12][120/161] lr: 1.9882e-01 eta: 3:29:18 time: 0.3215 data_time: 0.0475 memory: 9707 grad_norm: 0.9973 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9495 loss: 0.9495 2022/08/05 15:14:35 - mmengine - INFO - Epoch(train) [12][140/161] lr: 1.9880e-01 eta: 3:29:06 time: 0.3271 data_time: 0.0443 memory: 9707 grad_norm: 1.0275 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0239 loss: 1.0239 2022/08/05 15:14:41 - mmengine - INFO - Epoch(train) [12][160/161] lr: 1.9877e-01 eta: 3:28:41 time: 0.2953 data_time: 0.0421 memory: 9707 grad_norm: 1.0926 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 0.9447 loss: 0.9447 2022/08/05 15:14:41 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:14:41 - mmengine - INFO - Epoch(train) [12][161/161] lr: 1.9877e-01 eta: 3:28:41 time: 0.2831 data_time: 0.0411 memory: 652 grad_norm: 1.2468 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.1746 loss: 1.1746 2022/08/05 15:14:51 - mmengine - INFO - Epoch(train) [13][20/161] lr: 1.9874e-01 eta: 3:29:20 time: 0.4810 data_time: 0.1454 memory: 9707 grad_norm: 1.1788 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1404 loss: 1.1404 2022/08/05 15:14:58 - mmengine - INFO - Epoch(train) [13][40/161] lr: 1.9872e-01 eta: 3:29:18 time: 0.3536 data_time: 0.0458 memory: 9707 grad_norm: 1.0357 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9671 loss: 0.9671 2022/08/05 15:15:04 - mmengine - INFO - Epoch(train) [13][60/161] lr: 1.9869e-01 eta: 3:29:05 time: 0.3275 data_time: 0.0477 memory: 9707 grad_norm: 1.0151 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0542 loss: 1.0542 2022/08/05 15:15:07 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:15:11 - mmengine - INFO - Epoch(train) [13][80/161] lr: 1.9867e-01 eta: 3:28:51 time: 0.3233 data_time: 0.0468 memory: 9707 grad_norm: 1.0285 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8124 loss: 0.8124 2022/08/05 15:15:17 - mmengine - INFO - Epoch(train) [13][100/161] lr: 1.9864e-01 eta: 3:28:42 time: 0.3349 data_time: 0.0497 memory: 9707 grad_norm: 1.0328 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8567 loss: 0.8567 2022/08/05 15:15:24 - mmengine - INFO - Epoch(train) [13][120/161] lr: 1.9861e-01 eta: 3:28:31 time: 0.3308 data_time: 0.0492 memory: 9707 grad_norm: 1.0979 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9926 loss: 0.9926 2022/08/05 15:15:30 - mmengine - INFO - Epoch(train) [13][140/161] lr: 1.9859e-01 eta: 3:28:18 time: 0.3237 data_time: 0.0511 memory: 9707 grad_norm: 1.0767 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0723 loss: 1.0723 2022/08/05 15:15:36 - mmengine - INFO - Epoch(train) [13][160/161] lr: 1.9856e-01 eta: 3:27:57 time: 0.3004 data_time: 0.0413 memory: 9707 grad_norm: 1.0187 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9368 loss: 0.9368 2022/08/05 15:15:37 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:15:37 - mmengine - INFO - Epoch(train) [13][161/161] lr: 1.9856e-01 eta: 3:27:57 time: 0.2911 data_time: 0.0408 memory: 652 grad_norm: 1.1397 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9626 loss: 0.9626 2022/08/05 15:15:46 - mmengine - INFO - Epoch(train) [14][20/161] lr: 1.9853e-01 eta: 3:28:33 time: 0.4839 data_time: 0.1425 memory: 9707 grad_norm: 1.0931 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9856 loss: 0.9856 2022/08/05 15:15:53 - mmengine - INFO - Epoch(train) [14][40/161] lr: 1.9850e-01 eta: 3:28:23 time: 0.3327 data_time: 0.0473 memory: 9707 grad_norm: 1.0038 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1027 loss: 1.1027 2022/08/05 15:15:59 - mmengine - INFO - Epoch(train) [14][60/161] lr: 1.9847e-01 eta: 3:28:10 time: 0.3263 data_time: 0.0456 memory: 9707 grad_norm: 1.0494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9082 loss: 0.9082 2022/08/05 15:16:06 - mmengine - INFO - Epoch(train) [14][80/161] lr: 1.9844e-01 eta: 3:27:59 time: 0.3300 data_time: 0.0510 memory: 9707 grad_norm: 1.0099 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8076 loss: 0.8076 2022/08/05 15:16:13 - mmengine - INFO - Epoch(train) [14][100/161] lr: 1.9842e-01 eta: 3:27:50 time: 0.3353 data_time: 0.0470 memory: 9707 grad_norm: 1.0653 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9391 loss: 0.9391 2022/08/05 15:16:19 - mmengine - INFO - Epoch(train) [14][120/161] lr: 1.9839e-01 eta: 3:27:38 time: 0.3255 data_time: 0.0459 memory: 9707 grad_norm: 1.0472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8867 loss: 0.8867 2022/08/05 15:16:26 - mmengine - INFO - Epoch(train) [14][140/161] lr: 1.9836e-01 eta: 3:27:25 time: 0.3235 data_time: 0.0468 memory: 9707 grad_norm: 1.0474 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9803 loss: 0.9803 2022/08/05 15:16:32 - mmengine - INFO - Epoch(train) [14][160/161] lr: 1.9833e-01 eta: 3:27:14 time: 0.3281 data_time: 0.0458 memory: 9707 grad_norm: 1.0564 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9877 loss: 0.9877 2022/08/05 15:16:32 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:16:32 - mmengine - INFO - Epoch(train) [14][161/161] lr: 1.9833e-01 eta: 3:27:14 time: 0.3150 data_time: 0.0446 memory: 652 grad_norm: 1.2151 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 1.0528 loss: 1.0528 2022/08/05 15:16:42 - mmengine - INFO - Epoch(train) [15][20/161] lr: 1.9830e-01 eta: 3:27:48 time: 0.4882 data_time: 0.1532 memory: 9707 grad_norm: 1.1278 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0234 loss: 1.0234 2022/08/05 15:16:49 - mmengine - INFO - Epoch(train) [15][40/161] lr: 1.9827e-01 eta: 3:27:36 time: 0.3262 data_time: 0.0486 memory: 9707 grad_norm: 1.0188 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9870 loss: 0.9870 2022/08/05 15:16:55 - mmengine - INFO - Epoch(train) [15][60/161] lr: 1.9824e-01 eta: 3:27:26 time: 0.3336 data_time: 0.0461 memory: 9707 grad_norm: 1.0178 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8448 loss: 0.8448 2022/08/05 15:17:02 - mmengine - INFO - Epoch(train) [15][80/161] lr: 1.9821e-01 eta: 3:27:15 time: 0.3309 data_time: 0.0556 memory: 9707 grad_norm: 1.0558 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8014 loss: 0.8014 2022/08/05 15:17:08 - mmengine - INFO - Epoch(train) [15][100/161] lr: 1.9818e-01 eta: 3:27:02 time: 0.3215 data_time: 0.0456 memory: 9707 grad_norm: 1.0722 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8441 loss: 0.8441 2022/08/05 15:17:15 - mmengine - INFO - Epoch(train) [15][120/161] lr: 1.9814e-01 eta: 3:26:54 time: 0.3371 data_time: 0.0489 memory: 9707 grad_norm: 1.0939 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9095 loss: 0.9095 2022/08/05 15:17:22 - mmengine - INFO - Epoch(train) [15][140/161] lr: 1.9811e-01 eta: 3:26:42 time: 0.3272 data_time: 0.0448 memory: 9707 grad_norm: 1.0745 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8384 loss: 0.8384 2022/08/05 15:17:28 - mmengine - INFO - Epoch(train) [15][160/161] lr: 1.9808e-01 eta: 3:26:23 time: 0.3002 data_time: 0.0424 memory: 9707 grad_norm: 1.0881 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8816 loss: 0.8816 2022/08/05 15:17:28 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:17:28 - mmengine - INFO - Epoch(train) [15][161/161] lr: 1.9808e-01 eta: 3:26:23 time: 0.2870 data_time: 0.0408 memory: 652 grad_norm: 1.2466 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.0299 loss: 1.0299 2022/08/05 15:17:38 - mmengine - INFO - Epoch(train) [16][20/161] lr: 1.9805e-01 eta: 3:26:53 time: 0.4854 data_time: 0.1638 memory: 9707 grad_norm: 1.0125 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0152 loss: 1.0152 2022/08/05 15:17:44 - mmengine - INFO - Epoch(train) [16][40/161] lr: 1.9802e-01 eta: 3:26:45 time: 0.3374 data_time: 0.0513 memory: 9707 grad_norm: 1.1079 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8683 loss: 0.8683 2022/08/05 15:17:51 - mmengine - INFO - Epoch(train) [16][60/161] lr: 1.9798e-01 eta: 3:26:33 time: 0.3251 data_time: 0.0466 memory: 9707 grad_norm: 1.0109 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9159 loss: 0.9159 2022/08/05 15:17:57 - mmengine - INFO - Epoch(train) [16][80/161] lr: 1.9795e-01 eta: 3:26:22 time: 0.3290 data_time: 0.0477 memory: 9707 grad_norm: 1.0354 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8758 loss: 0.8758 2022/08/05 15:18:04 - mmengine - INFO - Epoch(train) [16][100/161] lr: 1.9792e-01 eta: 3:26:10 time: 0.3256 data_time: 0.0466 memory: 9707 grad_norm: 1.0847 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8297 loss: 0.8297 2022/08/05 15:18:10 - mmengine - INFO - Epoch(train) [16][120/161] lr: 1.9789e-01 eta: 3:25:59 time: 0.3267 data_time: 0.0481 memory: 9707 grad_norm: 1.0207 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.9209 loss: 0.9209 2022/08/05 15:18:17 - mmengine - INFO - Epoch(train) [16][140/161] lr: 1.9785e-01 eta: 3:25:49 time: 0.3312 data_time: 0.0473 memory: 9707 grad_norm: 1.0112 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7602 loss: 0.7602 2022/08/05 15:18:24 - mmengine - INFO - Epoch(train) [16][160/161] lr: 1.9782e-01 eta: 3:25:39 time: 0.3321 data_time: 0.0461 memory: 9707 grad_norm: 1.0955 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8101 loss: 0.8101 2022/08/05 15:18:24 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:18:24 - mmengine - INFO - Epoch(train) [16][161/161] lr: 1.9782e-01 eta: 3:25:39 time: 0.3202 data_time: 0.0463 memory: 652 grad_norm: 1.2557 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.0080 loss: 1.0080 2022/08/05 15:18:34 - mmengine - INFO - Epoch(train) [17][20/161] lr: 1.9778e-01 eta: 3:26:10 time: 0.4972 data_time: 0.1560 memory: 9707 grad_norm: 1.2173 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0999 loss: 1.0999 2022/08/05 15:18:40 - mmengine - INFO - Epoch(train) [17][40/161] lr: 1.9775e-01 eta: 3:25:58 time: 0.3231 data_time: 0.0496 memory: 9707 grad_norm: 1.0628 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9048 loss: 0.9048 2022/08/05 15:18:47 - mmengine - INFO - Epoch(train) [17][60/161] lr: 1.9771e-01 eta: 3:25:46 time: 0.3249 data_time: 0.0455 memory: 9707 grad_norm: 1.0681 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9126 loss: 0.9126 2022/08/05 15:18:54 - mmengine - INFO - Epoch(train) [17][80/161] lr: 1.9768e-01 eta: 3:25:38 time: 0.3398 data_time: 0.0501 memory: 9707 grad_norm: 1.0858 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8911 loss: 0.8911 2022/08/05 15:19:00 - mmengine - INFO - Epoch(train) [17][100/161] lr: 1.9764e-01 eta: 3:25:27 time: 0.3275 data_time: 0.0439 memory: 9707 grad_norm: 1.1561 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9460 loss: 0.9460 2022/08/05 15:19:07 - mmengine - INFO - Epoch(train) [17][120/161] lr: 1.9761e-01 eta: 3:25:16 time: 0.3266 data_time: 0.0496 memory: 9707 grad_norm: 1.0892 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9168 loss: 0.9168 2022/08/05 15:19:13 - mmengine - INFO - Epoch(train) [17][140/161] lr: 1.9757e-01 eta: 3:25:07 time: 0.3324 data_time: 0.0465 memory: 9707 grad_norm: 0.9843 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7897 loss: 0.7897 2022/08/05 15:19:19 - mmengine - INFO - Epoch(train) [17][160/161] lr: 1.9754e-01 eta: 3:24:48 time: 0.2983 data_time: 0.0478 memory: 9707 grad_norm: 1.0810 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8992 loss: 0.8992 2022/08/05 15:19:19 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:19:19 - mmengine - INFO - Epoch(train) [17][161/161] lr: 1.9754e-01 eta: 3:24:48 time: 0.2825 data_time: 0.0420 memory: 652 grad_norm: 1.2295 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.1158 loss: 1.1158 2022/08/05 15:19:29 - mmengine - INFO - Epoch(train) [18][20/161] lr: 1.9750e-01 eta: 3:25:17 time: 0.4963 data_time: 0.1504 memory: 9707 grad_norm: 1.1444 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9660 loss: 0.9660 2022/08/05 15:19:36 - mmengine - INFO - Epoch(train) [18][40/161] lr: 1.9746e-01 eta: 3:25:09 time: 0.3408 data_time: 0.0485 memory: 9707 grad_norm: 1.0484 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9224 loss: 0.9224 2022/08/05 15:19:43 - mmengine - INFO - Epoch(train) [18][60/161] lr: 1.9743e-01 eta: 3:24:56 time: 0.3192 data_time: 0.0430 memory: 9707 grad_norm: 1.0565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8635 loss: 0.8635 2022/08/05 15:19:49 - mmengine - INFO - Epoch(train) [18][80/161] lr: 1.9739e-01 eta: 3:24:46 time: 0.3309 data_time: 0.0478 memory: 9707 grad_norm: 1.0702 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7338 loss: 0.7338 2022/08/05 15:19:56 - mmengine - INFO - Epoch(train) [18][100/161] lr: 1.9735e-01 eta: 3:24:35 time: 0.3259 data_time: 0.0462 memory: 9707 grad_norm: 0.9507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7594 loss: 0.7594 2022/08/05 15:20:02 - mmengine - INFO - Epoch(train) [18][120/161] lr: 1.9732e-01 eta: 3:24:24 time: 0.3249 data_time: 0.0490 memory: 9707 grad_norm: 1.0064 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9164 loss: 0.9164 2022/08/05 15:20:09 - mmengine - INFO - Epoch(train) [18][140/161] lr: 1.9728e-01 eta: 3:24:12 time: 0.3218 data_time: 0.0433 memory: 9707 grad_norm: 1.0237 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8000 loss: 0.8000 2022/08/05 15:20:15 - mmengine - INFO - Epoch(train) [18][160/161] lr: 1.9724e-01 eta: 3:23:55 time: 0.3036 data_time: 0.0420 memory: 9707 grad_norm: 1.0402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8604 loss: 0.8604 2022/08/05 15:20:15 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:20:15 - mmengine - INFO - Epoch(train) [18][161/161] lr: 1.9724e-01 eta: 3:23:55 time: 0.2922 data_time: 0.0412 memory: 652 grad_norm: 1.1766 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9244 loss: 0.9244 2022/08/05 15:20:24 - mmengine - INFO - Epoch(train) [19][20/161] lr: 1.9720e-01 eta: 3:24:17 time: 0.4797 data_time: 0.1522 memory: 9707 grad_norm: 1.1347 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 0.8503 loss: 0.8503 2022/08/05 15:20:31 - mmengine - INFO - Epoch(train) [19][40/161] lr: 1.9716e-01 eta: 3:24:05 time: 0.3223 data_time: 0.0490 memory: 9707 grad_norm: 1.0144 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8135 loss: 0.8135 2022/08/05 15:20:37 - mmengine - INFO - Epoch(train) [19][60/161] lr: 1.9712e-01 eta: 3:23:55 time: 0.3296 data_time: 0.0447 memory: 9707 grad_norm: 1.0325 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8322 loss: 0.8322 2022/08/05 15:20:44 - mmengine - INFO - Epoch(train) [19][80/161] lr: 1.9709e-01 eta: 3:23:43 time: 0.3198 data_time: 0.0444 memory: 9707 grad_norm: 1.0869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8559 loss: 0.8559 2022/08/05 15:20:50 - mmengine - INFO - Epoch(train) [19][100/161] lr: 1.9705e-01 eta: 3:23:31 time: 0.3231 data_time: 0.0473 memory: 9707 grad_norm: 1.0485 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.8362 loss: 0.8362 2022/08/05 15:20:51 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:20:57 - mmengine - INFO - Epoch(train) [19][120/161] lr: 1.9701e-01 eta: 3:23:21 time: 0.3256 data_time: 0.0479 memory: 9707 grad_norm: 1.0228 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.7399 loss: 0.7399 2022/08/05 15:21:03 - mmengine - INFO - Epoch(train) [19][140/161] lr: 1.9697e-01 eta: 3:23:10 time: 0.3262 data_time: 0.0481 memory: 9707 grad_norm: 0.9900 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.7054 loss: 0.7054 2022/08/05 15:21:09 - mmengine - INFO - Epoch(train) [19][160/161] lr: 1.9693e-01 eta: 3:22:52 time: 0.2947 data_time: 0.0448 memory: 9707 grad_norm: 1.0607 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7775 loss: 0.7775 2022/08/05 15:21:09 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:21:09 - mmengine - INFO - Epoch(train) [19][161/161] lr: 1.9693e-01 eta: 3:22:52 time: 0.2817 data_time: 0.0411 memory: 652 grad_norm: 1.1652 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.9297 loss: 0.9297 2022/08/05 15:21:19 - mmengine - INFO - Epoch(train) [20][20/161] lr: 1.9688e-01 eta: 3:23:13 time: 0.4836 data_time: 0.1459 memory: 9707 grad_norm: 1.0683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9334 loss: 0.9334 2022/08/05 15:21:26 - mmengine - INFO - Epoch(train) [20][40/161] lr: 1.9684e-01 eta: 3:23:03 time: 0.3284 data_time: 0.0491 memory: 9707 grad_norm: 0.9535 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7258 loss: 0.7258 2022/08/05 15:21:32 - mmengine - INFO - Epoch(train) [20][60/161] lr: 1.9680e-01 eta: 3:22:52 time: 0.3254 data_time: 0.0470 memory: 9707 grad_norm: 0.9904 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8563 loss: 0.8563 2022/08/05 15:21:38 - mmengine - INFO - Epoch(train) [20][80/161] lr: 1.9676e-01 eta: 3:22:40 time: 0.3199 data_time: 0.0470 memory: 9707 grad_norm: 1.1043 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7453 loss: 0.7453 2022/08/05 15:21:45 - mmengine - INFO - Epoch(train) [20][100/161] lr: 1.9672e-01 eta: 3:22:30 time: 0.3261 data_time: 0.0483 memory: 9707 grad_norm: 0.9862 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7320 loss: 0.7320 2022/08/05 15:21:51 - mmengine - INFO - Epoch(train) [20][120/161] lr: 1.9668e-01 eta: 3:22:18 time: 0.3179 data_time: 0.0461 memory: 9707 grad_norm: 0.9963 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7137 loss: 0.7137 2022/08/05 15:21:58 - mmengine - INFO - Epoch(train) [20][140/161] lr: 1.9664e-01 eta: 3:22:07 time: 0.3245 data_time: 0.0461 memory: 9707 grad_norm: 1.0473 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7462 loss: 0.7462 2022/08/05 15:22:04 - mmengine - INFO - Epoch(train) [20][160/161] lr: 1.9660e-01 eta: 3:21:50 time: 0.2952 data_time: 0.0451 memory: 9707 grad_norm: 1.0473 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6285 loss: 0.6285 2022/08/05 15:22:04 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:22:04 - mmengine - INFO - Epoch(train) [20][161/161] lr: 1.9659e-01 eta: 3:21:50 time: 0.2833 data_time: 0.0438 memory: 652 grad_norm: 1.2072 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.9083 loss: 0.9083 2022/08/05 15:22:04 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/05 15:22:15 - mmengine - INFO - Epoch(val) [20][20/67] eta: 0:00:19 time: 0.4057 data_time: 0.2272 memory: 1868 2022/08/05 15:22:21 - mmengine - INFO - Epoch(val) [20][40/67] eta: 0:00:07 time: 0.2854 data_time: 0.1057 memory: 1868 2022/08/05 15:22:25 - mmengine - INFO - Epoch(val) [20][60/67] eta: 0:00:01 time: 0.2148 data_time: 0.0706 memory: 1868 2022/08/05 15:22:26 - mmengine - INFO - Epoch(val) [20][67/67] acc/top1: 0.4985 acc/top5: 0.8603 acc/mean1: 0.3464 2022/08/05 15:22:26 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_gym_limb/best_acc/top1_epoch_11.pth is removed 2022/08/05 15:22:29 - mmengine - INFO - The best checkpoint with 0.4985 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/05 15:22:37 - mmengine - INFO - Epoch(train) [21][20/161] lr: 1.9655e-01 eta: 3:21:57 time: 0.4261 data_time: 0.1529 memory: 9707 grad_norm: 1.0726 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6732 loss: 0.6732 2022/08/05 15:22:44 - mmengine - INFO - Epoch(train) [21][40/161] lr: 1.9651e-01 eta: 3:21:49 time: 0.3372 data_time: 0.0497 memory: 9707 grad_norm: 0.9994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7021 loss: 0.7021 2022/08/05 15:22:51 - mmengine - INFO - Epoch(train) [21][60/161] lr: 1.9647e-01 eta: 3:21:38 time: 0.3225 data_time: 0.0477 memory: 9707 grad_norm: 1.0468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7601 loss: 0.7601 2022/08/05 15:22:57 - mmengine - INFO - Epoch(train) [21][80/161] lr: 1.9642e-01 eta: 3:21:27 time: 0.3233 data_time: 0.0484 memory: 9707 grad_norm: 1.0660 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7941 loss: 0.7941 2022/08/05 15:23:04 - mmengine - INFO - Epoch(train) [21][100/161] lr: 1.9638e-01 eta: 3:21:17 time: 0.3287 data_time: 0.0480 memory: 9707 grad_norm: 1.0294 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8341 loss: 0.8341 2022/08/05 15:23:10 - mmengine - INFO - Epoch(train) [21][120/161] lr: 1.9634e-01 eta: 3:21:07 time: 0.3227 data_time: 0.0470 memory: 9707 grad_norm: 1.0375 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7506 loss: 0.7506 2022/08/05 15:23:17 - mmengine - INFO - Epoch(train) [21][140/161] lr: 1.9629e-01 eta: 3:20:57 time: 0.3294 data_time: 0.0435 memory: 9707 grad_norm: 0.9866 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6978 loss: 0.6978 2022/08/05 15:23:23 - mmengine - INFO - Epoch(train) [21][160/161] lr: 1.9625e-01 eta: 3:20:46 time: 0.3216 data_time: 0.0449 memory: 9707 grad_norm: 1.0540 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7621 loss: 0.7621 2022/08/05 15:23:23 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:23:23 - mmengine - INFO - Epoch(train) [21][161/161] lr: 1.9625e-01 eta: 3:20:46 time: 0.3105 data_time: 0.0443 memory: 652 grad_norm: 1.1879 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.9125 loss: 0.9125 2022/08/05 15:23:33 - mmengine - INFO - Epoch(train) [22][20/161] lr: 1.9620e-01 eta: 3:21:04 time: 0.4793 data_time: 0.1349 memory: 9707 grad_norm: 1.1385 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7973 loss: 0.7973 2022/08/05 15:23:39 - mmengine - INFO - Epoch(train) [22][40/161] lr: 1.9616e-01 eta: 3:20:52 time: 0.3201 data_time: 0.0470 memory: 9707 grad_norm: 1.0668 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8053 loss: 0.8053 2022/08/05 15:23:46 - mmengine - INFO - Epoch(train) [22][60/161] lr: 1.9611e-01 eta: 3:20:42 time: 0.3254 data_time: 0.0437 memory: 9707 grad_norm: 1.0402 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7757 loss: 0.7757 2022/08/05 15:23:52 - mmengine - INFO - Epoch(train) [22][80/161] lr: 1.9607e-01 eta: 3:20:31 time: 0.3229 data_time: 0.0444 memory: 9707 grad_norm: 0.9692 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7462 loss: 0.7462 2022/08/05 15:23:59 - mmengine - INFO - Epoch(train) [22][100/161] lr: 1.9602e-01 eta: 3:20:21 time: 0.3222 data_time: 0.0461 memory: 9707 grad_norm: 1.0195 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6886 loss: 0.6886 2022/08/05 15:24:05 - mmengine - INFO - Epoch(train) [22][120/161] lr: 1.9598e-01 eta: 3:20:11 time: 0.3287 data_time: 0.0454 memory: 9707 grad_norm: 1.0427 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7107 loss: 0.7107 2022/08/05 15:24:12 - mmengine - INFO - Epoch(train) [22][140/161] lr: 1.9593e-01 eta: 3:20:00 time: 0.3213 data_time: 0.0429 memory: 9707 grad_norm: 0.9871 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6774 loss: 0.6774 2022/08/05 15:24:18 - mmengine - INFO - Epoch(train) [22][160/161] lr: 1.9589e-01 eta: 3:19:44 time: 0.2957 data_time: 0.0391 memory: 9707 grad_norm: 1.0284 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7008 loss: 0.7008 2022/08/05 15:24:18 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:24:18 - mmengine - INFO - Epoch(train) [22][161/161] lr: 1.9588e-01 eta: 3:19:44 time: 0.2848 data_time: 0.0380 memory: 652 grad_norm: 1.1708 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.9801 loss: 0.9801 2022/08/05 15:24:27 - mmengine - INFO - Epoch(train) [23][20/161] lr: 1.9584e-01 eta: 3:19:58 time: 0.4662 data_time: 0.1423 memory: 9707 grad_norm: 1.0848 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7775 loss: 0.7775 2022/08/05 15:24:34 - mmengine - INFO - Epoch(train) [23][40/161] lr: 1.9579e-01 eta: 3:19:48 time: 0.3244 data_time: 0.0460 memory: 9707 grad_norm: 1.0210 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6352 loss: 0.6352 2022/08/05 15:24:40 - mmengine - INFO - Epoch(train) [23][60/161] lr: 1.9574e-01 eta: 3:19:37 time: 0.3216 data_time: 0.0439 memory: 9707 grad_norm: 1.0809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7482 loss: 0.7482 2022/08/05 15:24:46 - mmengine - INFO - Epoch(train) [23][80/161] lr: 1.9570e-01 eta: 3:19:27 time: 0.3224 data_time: 0.0448 memory: 9707 grad_norm: 1.0155 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7130 loss: 0.7130 2022/08/05 15:24:53 - mmengine - INFO - Epoch(train) [23][100/161] lr: 1.9565e-01 eta: 3:19:16 time: 0.3213 data_time: 0.0459 memory: 9707 grad_norm: 1.0858 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7031 loss: 0.7031 2022/08/05 15:24:59 - mmengine - INFO - Epoch(train) [23][120/161] lr: 1.9560e-01 eta: 3:19:06 time: 0.3251 data_time: 0.0477 memory: 9707 grad_norm: 1.0147 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7380 loss: 0.7380 2022/08/05 15:25:06 - mmengine - INFO - Epoch(train) [23][140/161] lr: 1.9555e-01 eta: 3:18:58 time: 0.3347 data_time: 0.0454 memory: 9707 grad_norm: 1.0487 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7550 loss: 0.7550 2022/08/05 15:25:12 - mmengine - INFO - Epoch(train) [23][160/161] lr: 1.9551e-01 eta: 3:18:42 time: 0.2970 data_time: 0.0418 memory: 9707 grad_norm: 1.0455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6413 loss: 0.6413 2022/08/05 15:25:12 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:25:12 - mmengine - INFO - Epoch(train) [23][161/161] lr: 1.9550e-01 eta: 3:18:42 time: 0.2845 data_time: 0.0410 memory: 652 grad_norm: 1.1992 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7272 loss: 0.7272 2022/08/05 15:25:22 - mmengine - INFO - Epoch(train) [24][20/161] lr: 1.9546e-01 eta: 3:18:57 time: 0.4742 data_time: 0.1477 memory: 9707 grad_norm: 1.0516 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7183 loss: 0.7183 2022/08/05 15:25:28 - mmengine - INFO - Epoch(train) [24][40/161] lr: 1.9541e-01 eta: 3:18:48 time: 0.3302 data_time: 0.0457 memory: 9707 grad_norm: 1.0565 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7959 loss: 0.7959 2022/08/05 15:25:35 - mmengine - INFO - Epoch(train) [24][60/161] lr: 1.9536e-01 eta: 3:18:38 time: 0.3242 data_time: 0.0425 memory: 9707 grad_norm: 1.0193 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8278 loss: 0.8278 2022/08/05 15:25:41 - mmengine - INFO - Epoch(train) [24][80/161] lr: 1.9531e-01 eta: 3:18:27 time: 0.3221 data_time: 0.0457 memory: 9707 grad_norm: 0.9840 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5762 loss: 0.5762 2022/08/05 15:25:48 - mmengine - INFO - Epoch(train) [24][100/161] lr: 1.9526e-01 eta: 3:18:18 time: 0.3267 data_time: 0.0475 memory: 9707 grad_norm: 1.0495 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6431 loss: 0.6431 2022/08/05 15:25:54 - mmengine - INFO - Epoch(train) [24][120/161] lr: 1.9521e-01 eta: 3:18:08 time: 0.3233 data_time: 0.0459 memory: 9707 grad_norm: 1.0592 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6877 loss: 0.6877 2022/08/05 15:26:01 - mmengine - INFO - Epoch(train) [24][140/161] lr: 1.9516e-01 eta: 3:17:57 time: 0.3214 data_time: 0.0452 memory: 9707 grad_norm: 1.1613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7076 loss: 0.7076 2022/08/05 15:26:07 - mmengine - INFO - Epoch(train) [24][160/161] lr: 1.9511e-01 eta: 3:17:49 time: 0.3331 data_time: 0.0411 memory: 9707 grad_norm: 1.0098 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6851 loss: 0.6851 2022/08/05 15:26:07 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:26:07 - mmengine - INFO - Epoch(train) [24][161/161] lr: 1.9511e-01 eta: 3:17:49 time: 0.3228 data_time: 0.0403 memory: 652 grad_norm: 1.1412 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.9420 loss: 0.9420 2022/08/05 15:26:17 - mmengine - INFO - Epoch(train) [25][20/161] lr: 1.9506e-01 eta: 3:18:04 time: 0.4808 data_time: 0.1650 memory: 9707 grad_norm: 1.1065 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 0.7177 loss: 0.7177 2022/08/05 15:26:24 - mmengine - INFO - Epoch(train) [25][40/161] lr: 1.9501e-01 eta: 3:17:54 time: 0.3256 data_time: 0.0448 memory: 9707 grad_norm: 0.9906 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5993 loss: 0.5993 2022/08/05 15:26:30 - mmengine - INFO - Epoch(train) [25][60/161] lr: 1.9496e-01 eta: 3:17:44 time: 0.3218 data_time: 0.0424 memory: 9707 grad_norm: 1.0868 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7581 loss: 0.7581 2022/08/05 15:26:36 - mmengine - INFO - Epoch(train) [25][80/161] lr: 1.9491e-01 eta: 3:17:33 time: 0.3211 data_time: 0.0443 memory: 9707 grad_norm: 1.0212 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7197 loss: 0.7197 2022/08/05 15:26:43 - mmengine - INFO - Epoch(train) [25][100/161] lr: 1.9485e-01 eta: 3:17:24 time: 0.3298 data_time: 0.0433 memory: 9707 grad_norm: 0.9807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6788 loss: 0.6788 2022/08/05 15:26:49 - mmengine - INFO - Epoch(train) [25][120/161] lr: 1.9480e-01 eta: 3:17:14 time: 0.3225 data_time: 0.0450 memory: 9707 grad_norm: 1.0876 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6655 loss: 0.6655 2022/08/05 15:26:55 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:26:56 - mmengine - INFO - Epoch(train) [25][140/161] lr: 1.9475e-01 eta: 3:17:04 time: 0.3226 data_time: 0.0482 memory: 9707 grad_norm: 1.0384 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6304 loss: 0.6304 2022/08/05 15:27:02 - mmengine - INFO - Epoch(train) [25][160/161] lr: 1.9470e-01 eta: 3:16:49 time: 0.2969 data_time: 0.0398 memory: 9707 grad_norm: 1.0708 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6523 loss: 0.6523 2022/08/05 15:27:02 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:27:02 - mmengine - INFO - Epoch(train) [25][161/161] lr: 1.9470e-01 eta: 3:16:49 time: 0.2840 data_time: 0.0383 memory: 652 grad_norm: 1.2084 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.9864 loss: 0.9864 2022/08/05 15:27:12 - mmengine - INFO - Epoch(train) [26][20/161] lr: 1.9464e-01 eta: 3:17:03 time: 0.4784 data_time: 0.1672 memory: 9707 grad_norm: 1.0722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6848 loss: 0.6848 2022/08/05 15:27:18 - mmengine - INFO - Epoch(train) [26][40/161] lr: 1.9459e-01 eta: 3:16:53 time: 0.3223 data_time: 0.0462 memory: 9707 grad_norm: 0.9921 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7012 loss: 0.7012 2022/08/05 15:27:25 - mmengine - INFO - Epoch(train) [26][60/161] lr: 1.9454e-01 eta: 3:16:44 time: 0.3278 data_time: 0.0487 memory: 9707 grad_norm: 1.0175 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7263 loss: 0.7263 2022/08/05 15:27:31 - mmengine - INFO - Epoch(train) [26][80/161] lr: 1.9448e-01 eta: 3:16:33 time: 0.3225 data_time: 0.0423 memory: 9707 grad_norm: 1.0600 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7077 loss: 0.7077 2022/08/05 15:27:37 - mmengine - INFO - Epoch(train) [26][100/161] lr: 1.9443e-01 eta: 3:16:24 time: 0.3242 data_time: 0.0434 memory: 9707 grad_norm: 1.0689 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6136 loss: 0.6136 2022/08/05 15:27:44 - mmengine - INFO - Epoch(train) [26][120/161] lr: 1.9438e-01 eta: 3:16:15 time: 0.3272 data_time: 0.0466 memory: 9707 grad_norm: 1.1249 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6506 loss: 0.6506 2022/08/05 15:27:50 - mmengine - INFO - Epoch(train) [26][140/161] lr: 1.9432e-01 eta: 3:16:05 time: 0.3232 data_time: 0.0456 memory: 9707 grad_norm: 1.0447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7709 loss: 0.7709 2022/08/05 15:27:56 - mmengine - INFO - Epoch(train) [26][160/161] lr: 1.9427e-01 eta: 3:15:51 time: 0.2991 data_time: 0.0412 memory: 9707 grad_norm: 1.0456 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7195 loss: 0.7195 2022/08/05 15:27:57 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:27:57 - mmengine - INFO - Epoch(train) [26][161/161] lr: 1.9427e-01 eta: 3:15:51 time: 0.2869 data_time: 0.0403 memory: 652 grad_norm: 1.1780 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.8431 loss: 0.8431 2022/08/05 15:28:06 - mmengine - INFO - Epoch(train) [27][20/161] lr: 1.9421e-01 eta: 3:16:02 time: 0.4721 data_time: 0.1486 memory: 9707 grad_norm: 1.1410 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7151 loss: 0.7151 2022/08/05 15:28:12 - mmengine - INFO - Epoch(train) [27][40/161] lr: 1.9416e-01 eta: 3:15:52 time: 0.3194 data_time: 0.0458 memory: 9707 grad_norm: 1.0726 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6848 loss: 0.6848 2022/08/05 15:28:19 - mmengine - INFO - Epoch(train) [27][60/161] lr: 1.9410e-01 eta: 3:15:42 time: 0.3242 data_time: 0.0447 memory: 9707 grad_norm: 1.0494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6836 loss: 0.6836 2022/08/05 15:28:25 - mmengine - INFO - Epoch(train) [27][80/161] lr: 1.9405e-01 eta: 3:15:33 time: 0.3288 data_time: 0.0464 memory: 9707 grad_norm: 1.0023 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6208 loss: 0.6208 2022/08/05 15:28:32 - mmengine - INFO - Epoch(train) [27][100/161] lr: 1.9399e-01 eta: 3:15:23 time: 0.3205 data_time: 0.0449 memory: 9707 grad_norm: 1.0707 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6826 loss: 0.6826 2022/08/05 15:28:38 - mmengine - INFO - Epoch(train) [27][120/161] lr: 1.9394e-01 eta: 3:15:14 time: 0.3235 data_time: 0.0467 memory: 9707 grad_norm: 1.0689 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6743 loss: 0.6743 2022/08/05 15:28:45 - mmengine - INFO - Epoch(train) [27][140/161] lr: 1.9388e-01 eta: 3:15:05 time: 0.3311 data_time: 0.0461 memory: 9707 grad_norm: 1.0220 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6648 loss: 0.6648 2022/08/05 15:28:51 - mmengine - INFO - Epoch(train) [27][160/161] lr: 1.9382e-01 eta: 3:14:51 time: 0.2959 data_time: 0.0398 memory: 9707 grad_norm: 0.9910 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6822 loss: 0.6822 2022/08/05 15:28:51 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:28:51 - mmengine - INFO - Epoch(train) [27][161/161] lr: 1.9382e-01 eta: 3:14:51 time: 0.2834 data_time: 0.0373 memory: 652 grad_norm: 1.1300 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.8073 loss: 0.8073 2022/08/05 15:29:00 - mmengine - INFO - Epoch(train) [28][20/161] lr: 1.9377e-01 eta: 3:15:02 time: 0.4750 data_time: 0.1637 memory: 9707 grad_norm: 1.1066 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7285 loss: 0.7285 2022/08/05 15:29:07 - mmengine - INFO - Epoch(train) [28][40/161] lr: 1.9371e-01 eta: 3:14:53 time: 0.3243 data_time: 0.0477 memory: 9707 grad_norm: 1.0241 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7089 loss: 0.7089 2022/08/05 15:29:13 - mmengine - INFO - Epoch(train) [28][60/161] lr: 1.9365e-01 eta: 3:14:43 time: 0.3235 data_time: 0.0451 memory: 9707 grad_norm: 1.0158 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6091 loss: 0.6091 2022/08/05 15:29:20 - mmengine - INFO - Epoch(train) [28][80/161] lr: 1.9359e-01 eta: 3:14:34 time: 0.3232 data_time: 0.0464 memory: 9707 grad_norm: 0.9661 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5426 loss: 0.5426 2022/08/05 15:29:26 - mmengine - INFO - Epoch(train) [28][100/161] lr: 1.9354e-01 eta: 3:14:24 time: 0.3228 data_time: 0.0416 memory: 9707 grad_norm: 1.0675 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7502 loss: 0.7502 2022/08/05 15:29:33 - mmengine - INFO - Epoch(train) [28][120/161] lr: 1.9348e-01 eta: 3:14:14 time: 0.3215 data_time: 0.0471 memory: 9707 grad_norm: 1.0524 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6591 loss: 0.6591 2022/08/05 15:29:39 - mmengine - INFO - Epoch(train) [28][140/161] lr: 1.9342e-01 eta: 3:14:04 time: 0.3191 data_time: 0.0446 memory: 9707 grad_norm: 0.9722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6707 loss: 0.6707 2022/08/05 15:29:45 - mmengine - INFO - Epoch(train) [28][160/161] lr: 1.9336e-01 eta: 3:13:51 time: 0.3017 data_time: 0.0412 memory: 9707 grad_norm: 1.0572 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6856 loss: 0.6856 2022/08/05 15:29:45 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:29:45 - mmengine - INFO - Epoch(train) [28][161/161] lr: 1.9336e-01 eta: 3:13:51 time: 0.2889 data_time: 0.0395 memory: 652 grad_norm: 1.1587 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7491 loss: 0.7491 2022/08/05 15:29:55 - mmengine - INFO - Epoch(train) [29][20/161] lr: 1.9330e-01 eta: 3:14:02 time: 0.4792 data_time: 0.1555 memory: 9707 grad_norm: 1.1580 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6546 loss: 0.6546 2022/08/05 15:30:01 - mmengine - INFO - Epoch(train) [29][40/161] lr: 1.9324e-01 eta: 3:13:52 time: 0.3190 data_time: 0.0463 memory: 9707 grad_norm: 1.0048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6496 loss: 0.6496 2022/08/05 15:30:08 - mmengine - INFO - Epoch(train) [29][60/161] lr: 1.9319e-01 eta: 3:13:43 time: 0.3218 data_time: 0.0435 memory: 9707 grad_norm: 1.0386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6576 loss: 0.6576 2022/08/05 15:30:14 - mmengine - INFO - Epoch(train) [29][80/161] lr: 1.9313e-01 eta: 3:13:33 time: 0.3245 data_time: 0.0474 memory: 9707 grad_norm: 1.0264 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6187 loss: 0.6187 2022/08/05 15:30:21 - mmengine - INFO - Epoch(train) [29][100/161] lr: 1.9307e-01 eta: 3:13:24 time: 0.3221 data_time: 0.0428 memory: 9707 grad_norm: 1.0913 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6646 loss: 0.6646 2022/08/05 15:30:27 - mmengine - INFO - Epoch(train) [29][120/161] lr: 1.9301e-01 eta: 3:13:14 time: 0.3246 data_time: 0.0483 memory: 9707 grad_norm: 1.0224 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6641 loss: 0.6641 2022/08/05 15:30:34 - mmengine - INFO - Epoch(train) [29][140/161] lr: 1.9295e-01 eta: 3:13:05 time: 0.3231 data_time: 0.0464 memory: 9707 grad_norm: 0.9719 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5061 loss: 0.5061 2022/08/05 15:30:40 - mmengine - INFO - Epoch(train) [29][160/161] lr: 1.9289e-01 eta: 3:12:52 time: 0.2954 data_time: 0.0422 memory: 9707 grad_norm: 1.0036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7308 loss: 0.7308 2022/08/05 15:30:40 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:30:40 - mmengine - INFO - Epoch(train) [29][161/161] lr: 1.9288e-01 eta: 3:12:52 time: 0.2814 data_time: 0.0390 memory: 652 grad_norm: 1.1368 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7819 loss: 0.7819 2022/08/05 15:30:49 - mmengine - INFO - Epoch(train) [30][20/161] lr: 1.9282e-01 eta: 3:13:00 time: 0.4633 data_time: 0.1400 memory: 9707 grad_norm: 1.0661 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6008 loss: 0.6008 2022/08/05 15:30:55 - mmengine - INFO - Epoch(train) [30][40/161] lr: 1.9276e-01 eta: 3:12:50 time: 0.3212 data_time: 0.0471 memory: 9707 grad_norm: 0.9739 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5995 loss: 0.5995 2022/08/05 15:31:02 - mmengine - INFO - Epoch(train) [30][60/161] lr: 1.9270e-01 eta: 3:12:40 time: 0.3202 data_time: 0.0460 memory: 9707 grad_norm: 1.0829 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6409 loss: 0.6409 2022/08/05 15:31:08 - mmengine - INFO - Epoch(train) [30][80/161] lr: 1.9264e-01 eta: 3:12:31 time: 0.3213 data_time: 0.0447 memory: 9707 grad_norm: 1.0970 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6236 loss: 0.6236 2022/08/05 15:31:15 - mmengine - INFO - Epoch(train) [30][100/161] lr: 1.9258e-01 eta: 3:12:21 time: 0.3223 data_time: 0.0442 memory: 9707 grad_norm: 1.0004 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.6336 loss: 0.6336 2022/08/05 15:31:21 - mmengine - INFO - Epoch(train) [30][120/161] lr: 1.9252e-01 eta: 3:12:12 time: 0.3231 data_time: 0.0486 memory: 9707 grad_norm: 1.1077 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6135 loss: 0.6135 2022/08/05 15:31:28 - mmengine - INFO - Epoch(train) [30][140/161] lr: 1.9246e-01 eta: 3:12:03 time: 0.3232 data_time: 0.0457 memory: 9707 grad_norm: 1.0421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6997 loss: 0.6997 2022/08/05 15:31:34 - mmengine - INFO - Epoch(train) [30][160/161] lr: 1.9239e-01 eta: 3:11:51 time: 0.3087 data_time: 0.0460 memory: 9707 grad_norm: 1.0055 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7053 loss: 0.7053 2022/08/05 15:31:34 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:31:34 - mmengine - INFO - Epoch(train) [30][161/161] lr: 1.9239e-01 eta: 3:11:51 time: 0.2959 data_time: 0.0439 memory: 652 grad_norm: 1.1414 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7955 loss: 0.7955 2022/08/05 15:31:34 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/08/05 15:31:45 - mmengine - INFO - Epoch(val) [30][20/67] eta: 0:00:20 time: 0.4281 data_time: 0.2475 memory: 1868 2022/08/05 15:31:51 - mmengine - INFO - Epoch(val) [30][40/67] eta: 0:00:08 time: 0.2988 data_time: 0.1212 memory: 1868 2022/08/05 15:31:55 - mmengine - INFO - Epoch(val) [30][60/67] eta: 0:00:01 time: 0.2114 data_time: 0.0743 memory: 1868 2022/08/05 15:31:57 - mmengine - INFO - Epoch(val) [30][67/67] acc/top1: 0.6238 acc/top5: 0.8873 acc/mean1: 0.4689 2022/08/05 15:31:57 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_gym_limb/best_acc/top1_epoch_21.pth is removed 2022/08/05 15:32:00 - mmengine - INFO - The best checkpoint with 0.6238 acc/top1 at 31 epoch is saved to best_acc/top1_epoch_31.pth. 2022/08/05 15:32:08 - mmengine - INFO - Epoch(train) [31][20/161] lr: 1.9233e-01 eta: 3:11:52 time: 0.4120 data_time: 0.1445 memory: 9707 grad_norm: 1.1430 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7367 loss: 0.7367 2022/08/05 15:32:15 - mmengine - INFO - Epoch(train) [31][40/161] lr: 1.9227e-01 eta: 3:11:44 time: 0.3360 data_time: 0.0502 memory: 9707 grad_norm: 1.0012 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6767 loss: 0.6767 2022/08/05 15:32:21 - mmengine - INFO - Epoch(train) [31][60/161] lr: 1.9220e-01 eta: 3:11:35 time: 0.3195 data_time: 0.0444 memory: 9707 grad_norm: 1.0175 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7097 loss: 0.7097 2022/08/05 15:32:28 - mmengine - INFO - Epoch(train) [31][80/161] lr: 1.9214e-01 eta: 3:11:25 time: 0.3227 data_time: 0.0466 memory: 9707 grad_norm: 1.0756 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6365 loss: 0.6365 2022/08/05 15:32:34 - mmengine - INFO - Epoch(train) [31][100/161] lr: 1.9208e-01 eta: 3:11:16 time: 0.3238 data_time: 0.0453 memory: 9707 grad_norm: 1.0895 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6356 loss: 0.6356 2022/08/05 15:32:41 - mmengine - INFO - Epoch(train) [31][120/161] lr: 1.9201e-01 eta: 3:11:07 time: 0.3222 data_time: 0.0451 memory: 9707 grad_norm: 0.9991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5891 loss: 0.5891 2022/08/05 15:32:47 - mmengine - INFO - Epoch(train) [31][140/161] lr: 1.9195e-01 eta: 3:10:58 time: 0.3240 data_time: 0.0455 memory: 9707 grad_norm: 1.1204 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6653 loss: 0.6653 2022/08/05 15:32:53 - mmengine - INFO - Epoch(train) [31][160/161] lr: 1.9189e-01 eta: 3:10:46 time: 0.3058 data_time: 0.0402 memory: 9707 grad_norm: 1.0778 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6280 loss: 0.6280 2022/08/05 15:32:54 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:32:54 - mmengine - INFO - Epoch(train) [31][161/161] lr: 1.9188e-01 eta: 3:10:46 time: 0.3108 data_time: 0.0401 memory: 652 grad_norm: 1.2186 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.9079 loss: 0.9079 2022/08/05 15:32:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:33:03 - mmengine - INFO - Epoch(train) [32][20/161] lr: 1.9182e-01 eta: 3:10:54 time: 0.4703 data_time: 0.1482 memory: 9707 grad_norm: 1.0963 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 0.8328 loss: 0.8328 2022/08/05 15:33:09 - mmengine - INFO - Epoch(train) [32][40/161] lr: 1.9175e-01 eta: 3:10:45 time: 0.3177 data_time: 0.0444 memory: 9707 grad_norm: 0.9981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6220 loss: 0.6220 2022/08/05 15:33:16 - mmengine - INFO - Epoch(train) [32][60/161] lr: 1.9169e-01 eta: 3:10:37 time: 0.3353 data_time: 0.0473 memory: 9707 grad_norm: 0.9842 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.5412 loss: 0.5412 2022/08/05 15:33:23 - mmengine - INFO - Epoch(train) [32][80/161] lr: 1.9162e-01 eta: 3:10:28 time: 0.3237 data_time: 0.0498 memory: 9707 grad_norm: 1.0334 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6805 loss: 0.6805 2022/08/05 15:33:29 - mmengine - INFO - Epoch(train) [32][100/161] lr: 1.9156e-01 eta: 3:10:19 time: 0.3237 data_time: 0.0457 memory: 9707 grad_norm: 1.0446 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6847 loss: 0.6847 2022/08/05 15:33:36 - mmengine - INFO - Epoch(train) [32][120/161] lr: 1.9149e-01 eta: 3:10:10 time: 0.3271 data_time: 0.0443 memory: 9707 grad_norm: 1.0425 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.7567 loss: 0.7567 2022/08/05 15:33:42 - mmengine - INFO - Epoch(train) [32][140/161] lr: 1.9143e-01 eta: 3:10:01 time: 0.3232 data_time: 0.0449 memory: 9707 grad_norm: 1.0509 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7029 loss: 0.7029 2022/08/05 15:33:48 - mmengine - INFO - Epoch(train) [32][160/161] lr: 1.9136e-01 eta: 3:09:49 time: 0.2999 data_time: 0.0423 memory: 9707 grad_norm: 1.0607 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5906 loss: 0.5906 2022/08/05 15:33:48 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:33:48 - mmengine - INFO - Epoch(train) [32][161/161] lr: 1.9136e-01 eta: 3:09:49 time: 0.2887 data_time: 0.0415 memory: 652 grad_norm: 1.1704 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.8663 loss: 0.8663 2022/08/05 15:33:58 - mmengine - INFO - Epoch(train) [33][20/161] lr: 1.9129e-01 eta: 3:09:59 time: 0.4851 data_time: 0.1217 memory: 9707 grad_norm: 1.0606 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6582 loss: 0.6582 2022/08/05 15:34:04 - mmengine - INFO - Epoch(train) [33][40/161] lr: 1.9123e-01 eta: 3:09:50 time: 0.3227 data_time: 0.0455 memory: 9707 grad_norm: 0.9515 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5834 loss: 0.5834 2022/08/05 15:34:11 - mmengine - INFO - Epoch(train) [33][60/161] lr: 1.9116e-01 eta: 3:09:40 time: 0.3221 data_time: 0.0486 memory: 9707 grad_norm: 1.0181 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5740 loss: 0.5740 2022/08/05 15:34:18 - mmengine - INFO - Epoch(train) [33][80/161] lr: 1.9109e-01 eta: 3:09:33 time: 0.3357 data_time: 0.0569 memory: 9707 grad_norm: 1.0993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6333 loss: 0.6333 2022/08/05 15:34:24 - mmengine - INFO - Epoch(train) [33][100/161] lr: 1.9102e-01 eta: 3:09:24 time: 0.3248 data_time: 0.0479 memory: 9707 grad_norm: 1.0091 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5360 loss: 0.5360 2022/08/05 15:34:30 - mmengine - INFO - Epoch(train) [33][120/161] lr: 1.9096e-01 eta: 3:09:15 time: 0.3221 data_time: 0.0475 memory: 9707 grad_norm: 1.1013 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6433 loss: 0.6433 2022/08/05 15:34:37 - mmengine - INFO - Epoch(train) [33][140/161] lr: 1.9089e-01 eta: 3:09:06 time: 0.3213 data_time: 0.0446 memory: 9707 grad_norm: 1.1157 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6408 loss: 0.6408 2022/08/05 15:34:43 - mmengine - INFO - Epoch(train) [33][160/161] lr: 1.9082e-01 eta: 3:08:54 time: 0.2954 data_time: 0.0400 memory: 9707 grad_norm: 1.0013 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6169 loss: 0.6169 2022/08/05 15:34:43 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:34:43 - mmengine - INFO - Epoch(train) [33][161/161] lr: 1.9082e-01 eta: 3:08:54 time: 0.2835 data_time: 0.0384 memory: 652 grad_norm: 1.1577 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.8296 loss: 0.8296 2022/08/05 15:34:52 - mmengine - INFO - Epoch(train) [34][20/161] lr: 1.9075e-01 eta: 3:09:01 time: 0.4765 data_time: 0.1423 memory: 9707 grad_norm: 1.1564 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7349 loss: 0.7349 2022/08/05 15:34:59 - mmengine - INFO - Epoch(train) [34][40/161] lr: 1.9068e-01 eta: 3:08:52 time: 0.3236 data_time: 0.0458 memory: 9707 grad_norm: 1.0328 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6486 loss: 0.6486 2022/08/05 15:35:06 - mmengine - INFO - Epoch(train) [34][60/161] lr: 1.9061e-01 eta: 3:08:45 time: 0.3384 data_time: 0.0477 memory: 9707 grad_norm: 1.0469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5838 loss: 0.5838 2022/08/05 15:35:12 - mmengine - INFO - Epoch(train) [34][80/161] lr: 1.9054e-01 eta: 3:08:36 time: 0.3216 data_time: 0.0478 memory: 9707 grad_norm: 1.0096 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5831 loss: 0.5831 2022/08/05 15:35:19 - mmengine - INFO - Epoch(train) [34][100/161] lr: 1.9047e-01 eta: 3:08:27 time: 0.3205 data_time: 0.0450 memory: 9707 grad_norm: 0.9659 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6014 loss: 0.6014 2022/08/05 15:35:25 - mmengine - INFO - Epoch(train) [34][120/161] lr: 1.9041e-01 eta: 3:08:21 time: 0.3439 data_time: 0.0479 memory: 9707 grad_norm: 1.0168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6542 loss: 0.6542 2022/08/05 15:35:32 - mmengine - INFO - Epoch(train) [34][140/161] lr: 1.9034e-01 eta: 3:08:11 time: 0.3215 data_time: 0.0427 memory: 9707 grad_norm: 1.0023 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5183 loss: 0.5183 2022/08/05 15:35:38 - mmengine - INFO - Epoch(train) [34][160/161] lr: 1.9027e-01 eta: 3:07:59 time: 0.2963 data_time: 0.0413 memory: 9707 grad_norm: 1.0242 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6044 loss: 0.6044 2022/08/05 15:35:38 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:35:38 - mmengine - INFO - Epoch(train) [34][161/161] lr: 1.9026e-01 eta: 3:07:59 time: 0.2856 data_time: 0.0414 memory: 652 grad_norm: 1.1922 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.7390 loss: 0.7390 2022/08/05 15:35:48 - mmengine - INFO - Epoch(train) [35][20/161] lr: 1.9019e-01 eta: 3:08:07 time: 0.4820 data_time: 0.1391 memory: 9707 grad_norm: 1.1621 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7707 loss: 0.7707 2022/08/05 15:35:54 - mmengine - INFO - Epoch(train) [35][40/161] lr: 1.9012e-01 eta: 3:07:59 time: 0.3259 data_time: 0.0452 memory: 9707 grad_norm: 1.0217 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6488 loss: 0.6488 2022/08/05 15:36:01 - mmengine - INFO - Epoch(train) [35][60/161] lr: 1.9005e-01 eta: 3:07:50 time: 0.3235 data_time: 0.0467 memory: 9707 grad_norm: 1.0138 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6794 loss: 0.6794 2022/08/05 15:36:07 - mmengine - INFO - Epoch(train) [35][80/161] lr: 1.8998e-01 eta: 3:07:41 time: 0.3250 data_time: 0.0452 memory: 9707 grad_norm: 1.0870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6540 loss: 0.6540 2022/08/05 15:36:13 - mmengine - INFO - Epoch(train) [35][100/161] lr: 1.8991e-01 eta: 3:07:32 time: 0.3209 data_time: 0.0443 memory: 9707 grad_norm: 1.0124 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6392 loss: 0.6392 2022/08/05 15:36:20 - mmengine - INFO - Epoch(train) [35][120/161] lr: 1.8984e-01 eta: 3:07:23 time: 0.3232 data_time: 0.0487 memory: 9707 grad_norm: 1.0325 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6299 loss: 0.6299 2022/08/05 15:36:26 - mmengine - INFO - Epoch(train) [35][140/161] lr: 1.8977e-01 eta: 3:07:15 time: 0.3240 data_time: 0.0447 memory: 9707 grad_norm: 1.0699 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5796 loss: 0.5796 2022/08/05 15:36:32 - mmengine - INFO - Epoch(train) [35][160/161] lr: 1.8969e-01 eta: 3:07:02 time: 0.2955 data_time: 0.0419 memory: 9707 grad_norm: 1.0270 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5068 loss: 0.5068 2022/08/05 15:36:32 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:36:32 - mmengine - INFO - Epoch(train) [35][161/161] lr: 1.8969e-01 eta: 3:07:02 time: 0.2836 data_time: 0.0409 memory: 652 grad_norm: 1.2254 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7851 loss: 0.7851 2022/08/05 15:36:42 - mmengine - INFO - Epoch(train) [36][20/161] lr: 1.8962e-01 eta: 3:07:10 time: 0.4815 data_time: 0.1267 memory: 9707 grad_norm: 1.1075 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6509 loss: 0.6509 2022/08/05 15:36:49 - mmengine - INFO - Epoch(train) [36][40/161] lr: 1.8955e-01 eta: 3:07:03 time: 0.3372 data_time: 0.0480 memory: 9707 grad_norm: 1.0355 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6853 loss: 0.6853 2022/08/05 15:36:55 - mmengine - INFO - Epoch(train) [36][60/161] lr: 1.8947e-01 eta: 3:06:54 time: 0.3285 data_time: 0.0451 memory: 9707 grad_norm: 1.0066 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4872 loss: 0.4872 2022/08/05 15:37:02 - mmengine - INFO - Epoch(train) [36][80/161] lr: 1.8940e-01 eta: 3:06:46 time: 0.3241 data_time: 0.0477 memory: 9707 grad_norm: 1.0352 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5937 loss: 0.5937 2022/08/05 15:37:08 - mmengine - INFO - Epoch(train) [36][100/161] lr: 1.8933e-01 eta: 3:06:37 time: 0.3258 data_time: 0.0473 memory: 9707 grad_norm: 1.1096 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6882 loss: 0.6882 2022/08/05 15:37:15 - mmengine - INFO - Epoch(train) [36][120/161] lr: 1.8926e-01 eta: 3:06:29 time: 0.3291 data_time: 0.0496 memory: 9707 grad_norm: 1.0517 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6617 loss: 0.6617 2022/08/05 15:37:21 - mmengine - INFO - Epoch(train) [36][140/161] lr: 1.8918e-01 eta: 3:06:20 time: 0.3229 data_time: 0.0463 memory: 9707 grad_norm: 0.9678 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5780 loss: 0.5780 2022/08/05 15:37:27 - mmengine - INFO - Epoch(train) [36][160/161] lr: 1.8911e-01 eta: 3:06:09 time: 0.2999 data_time: 0.0431 memory: 9707 grad_norm: 1.0436 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5103 loss: 0.5103 2022/08/05 15:37:28 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:37:28 - mmengine - INFO - Epoch(train) [36][161/161] lr: 1.8910e-01 eta: 3:06:09 time: 0.2870 data_time: 0.0415 memory: 652 grad_norm: 1.1811 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6994 loss: 0.6994 2022/08/05 15:37:37 - mmengine - INFO - Epoch(train) [37][20/161] lr: 1.8903e-01 eta: 3:06:16 time: 0.4798 data_time: 0.1341 memory: 9707 grad_norm: 1.0510 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5523 loss: 0.5523 2022/08/05 15:37:44 - mmengine - INFO - Epoch(train) [37][40/161] lr: 1.8896e-01 eta: 3:06:08 time: 0.3353 data_time: 0.0457 memory: 9707 grad_norm: 1.0419 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.5734 loss: 0.5734 2022/08/05 15:37:50 - mmengine - INFO - Epoch(train) [37][60/161] lr: 1.8888e-01 eta: 3:06:00 time: 0.3264 data_time: 0.0445 memory: 9707 grad_norm: 1.0167 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5583 loss: 0.5583 2022/08/05 15:37:57 - mmengine - INFO - Epoch(train) [37][80/161] lr: 1.8881e-01 eta: 3:05:51 time: 0.3240 data_time: 0.0471 memory: 9707 grad_norm: 1.0212 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6561 loss: 0.6561 2022/08/05 15:38:03 - mmengine - INFO - Epoch(train) [37][100/161] lr: 1.8873e-01 eta: 3:05:43 time: 0.3222 data_time: 0.0455 memory: 9707 grad_norm: 1.0299 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6318 loss: 0.6318 2022/08/05 15:38:10 - mmengine - INFO - Epoch(train) [37][120/161] lr: 1.8866e-01 eta: 3:05:34 time: 0.3250 data_time: 0.0470 memory: 9707 grad_norm: 1.0589 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5842 loss: 0.5842 2022/08/05 15:38:16 - mmengine - INFO - Epoch(train) [37][140/161] lr: 1.8858e-01 eta: 3:05:25 time: 0.3243 data_time: 0.0439 memory: 9707 grad_norm: 1.0385 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6786 loss: 0.6786 2022/08/05 15:38:22 - mmengine - INFO - Epoch(train) [37][160/161] lr: 1.8851e-01 eta: 3:05:14 time: 0.2964 data_time: 0.0408 memory: 9707 grad_norm: 1.0229 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5394 loss: 0.5394 2022/08/05 15:38:22 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:38:22 - mmengine - INFO - Epoch(train) [37][161/161] lr: 1.8850e-01 eta: 3:05:14 time: 0.2831 data_time: 0.0386 memory: 652 grad_norm: 1.1469 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7601 loss: 0.7601 2022/08/05 15:38:32 - mmengine - INFO - Epoch(train) [38][20/161] lr: 1.8843e-01 eta: 3:05:23 time: 0.5049 data_time: 0.1470 memory: 9707 grad_norm: 1.0738 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6023 loss: 0.6023 2022/08/05 15:38:39 - mmengine - INFO - Epoch(train) [38][40/161] lr: 1.8835e-01 eta: 3:05:14 time: 0.3195 data_time: 0.0457 memory: 9707 grad_norm: 1.0810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6393 loss: 0.6393 2022/08/05 15:38:40 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:38:45 - mmengine - INFO - Epoch(train) [38][60/161] lr: 1.8827e-01 eta: 3:05:06 time: 0.3293 data_time: 0.0482 memory: 9707 grad_norm: 1.0080 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5360 loss: 0.5360 2022/08/05 15:38:52 - mmengine - INFO - Epoch(train) [38][80/161] lr: 1.8820e-01 eta: 3:04:57 time: 0.3212 data_time: 0.0474 memory: 9707 grad_norm: 1.0020 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5317 loss: 0.5317 2022/08/05 15:38:58 - mmengine - INFO - Epoch(train) [38][100/161] lr: 1.8812e-01 eta: 3:04:48 time: 0.3195 data_time: 0.0433 memory: 9707 grad_norm: 1.0315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5642 loss: 0.5642 2022/08/05 15:39:05 - mmengine - INFO - Epoch(train) [38][120/161] lr: 1.8804e-01 eta: 3:04:40 time: 0.3307 data_time: 0.0494 memory: 9707 grad_norm: 1.0431 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5339 loss: 0.5339 2022/08/05 15:39:11 - mmengine - INFO - Epoch(train) [38][140/161] lr: 1.8797e-01 eta: 3:04:32 time: 0.3257 data_time: 0.0452 memory: 9707 grad_norm: 1.0640 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5888 loss: 0.5888 2022/08/05 15:39:17 - mmengine - INFO - Epoch(train) [38][160/161] lr: 1.8789e-01 eta: 3:04:20 time: 0.2996 data_time: 0.0404 memory: 9707 grad_norm: 1.0338 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5691 loss: 0.5691 2022/08/05 15:39:17 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:39:17 - mmengine - INFO - Epoch(train) [38][161/161] lr: 1.8789e-01 eta: 3:04:20 time: 0.2867 data_time: 0.0380 memory: 652 grad_norm: 1.1528 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6274 loss: 0.6274 2022/08/05 15:39:27 - mmengine - INFO - Epoch(train) [39][20/161] lr: 1.8781e-01 eta: 3:04:27 time: 0.4872 data_time: 0.1492 memory: 9707 grad_norm: 1.0530 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7072 loss: 0.7072 2022/08/05 15:39:34 - mmengine - INFO - Epoch(train) [39][40/161] lr: 1.8773e-01 eta: 3:04:19 time: 0.3275 data_time: 0.0475 memory: 9707 grad_norm: 1.0499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5796 loss: 0.5796 2022/08/05 15:39:40 - mmengine - INFO - Epoch(train) [39][60/161] lr: 1.8765e-01 eta: 3:04:11 time: 0.3260 data_time: 0.0428 memory: 9707 grad_norm: 1.0559 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6089 loss: 0.6089 2022/08/05 15:39:47 - mmengine - INFO - Epoch(train) [39][80/161] lr: 1.8757e-01 eta: 3:04:02 time: 0.3267 data_time: 0.0477 memory: 9707 grad_norm: 0.9656 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4782 loss: 0.4782 2022/08/05 15:39:53 - mmengine - INFO - Epoch(train) [39][100/161] lr: 1.8749e-01 eta: 3:03:54 time: 0.3238 data_time: 0.0456 memory: 9707 grad_norm: 1.0525 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5750 loss: 0.5750 2022/08/05 15:40:00 - mmengine - INFO - Epoch(train) [39][120/161] lr: 1.8742e-01 eta: 3:03:48 time: 0.3477 data_time: 0.0485 memory: 9707 grad_norm: 0.9905 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5888 loss: 0.5888 2022/08/05 15:40:07 - mmengine - INFO - Epoch(train) [39][140/161] lr: 1.8734e-01 eta: 3:03:39 time: 0.3230 data_time: 0.0453 memory: 9707 grad_norm: 1.0024 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6469 loss: 0.6469 2022/08/05 15:40:13 - mmengine - INFO - Epoch(train) [39][160/161] lr: 1.8726e-01 eta: 3:03:28 time: 0.2980 data_time: 0.0399 memory: 9707 grad_norm: 1.0667 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6458 loss: 0.6458 2022/08/05 15:40:13 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:40:13 - mmengine - INFO - Epoch(train) [39][161/161] lr: 1.8725e-01 eta: 3:03:28 time: 0.2857 data_time: 0.0379 memory: 652 grad_norm: 1.1787 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.8497 loss: 0.8497 2022/08/05 15:40:23 - mmengine - INFO - Epoch(train) [40][20/161] lr: 1.8717e-01 eta: 3:03:35 time: 0.4949 data_time: 0.1555 memory: 9707 grad_norm: 1.1051 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6058 loss: 0.6058 2022/08/05 15:40:29 - mmengine - INFO - Epoch(train) [40][40/161] lr: 1.8709e-01 eta: 3:03:26 time: 0.3223 data_time: 0.0474 memory: 9707 grad_norm: 1.0504 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6731 loss: 0.6731 2022/08/05 15:40:36 - mmengine - INFO - Epoch(train) [40][60/161] lr: 1.8701e-01 eta: 3:03:22 time: 0.3658 data_time: 0.0444 memory: 9707 grad_norm: 1.0277 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.5801 loss: 0.5801 2022/08/05 15:40:43 - mmengine - INFO - Epoch(train) [40][80/161] lr: 1.8693e-01 eta: 3:03:14 time: 0.3270 data_time: 0.0471 memory: 9707 grad_norm: 1.0673 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5828 loss: 0.5828 2022/08/05 15:40:49 - mmengine - INFO - Epoch(train) [40][100/161] lr: 1.8685e-01 eta: 3:03:05 time: 0.3231 data_time: 0.0421 memory: 9707 grad_norm: 1.0158 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5616 loss: 0.5616 2022/08/05 15:40:56 - mmengine - INFO - Epoch(train) [40][120/161] lr: 1.8677e-01 eta: 3:02:58 time: 0.3315 data_time: 0.0502 memory: 9707 grad_norm: 1.0967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5769 loss: 0.5769 2022/08/05 15:41:03 - mmengine - INFO - Epoch(train) [40][140/161] lr: 1.8669e-01 eta: 3:02:49 time: 0.3241 data_time: 0.0426 memory: 9707 grad_norm: 0.9838 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5959 loss: 0.5959 2022/08/05 15:41:08 - mmengine - INFO - Epoch(train) [40][160/161] lr: 1.8661e-01 eta: 3:02:38 time: 0.2963 data_time: 0.0416 memory: 9707 grad_norm: 1.0261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4809 loss: 0.4809 2022/08/05 15:41:09 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:41:09 - mmengine - INFO - Epoch(train) [40][161/161] lr: 1.8661e-01 eta: 3:02:38 time: 0.2875 data_time: 0.0388 memory: 652 grad_norm: 1.1533 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6655 loss: 0.6655 2022/08/05 15:41:09 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/05 15:41:20 - mmengine - INFO - Epoch(val) [40][20/67] eta: 0:00:19 time: 0.4144 data_time: 0.2384 memory: 1868 2022/08/05 15:41:25 - mmengine - INFO - Epoch(val) [40][40/67] eta: 0:00:07 time: 0.2802 data_time: 0.0989 memory: 1868 2022/08/05 15:41:30 - mmengine - INFO - Epoch(val) [40][60/67] eta: 0:00:01 time: 0.2175 data_time: 0.0726 memory: 1868 2022/08/05 15:41:31 - mmengine - INFO - Epoch(val) [40][67/67] acc/top1: 0.0197 acc/top5: 0.1179 acc/mean1: 0.0208 2022/08/05 15:41:41 - mmengine - INFO - Epoch(train) [41][20/161] lr: 1.8653e-01 eta: 3:02:42 time: 0.4744 data_time: 0.1373 memory: 9707 grad_norm: 1.1005 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6036 loss: 0.6036 2022/08/05 15:41:47 - mmengine - INFO - Epoch(train) [41][40/161] lr: 1.8644e-01 eta: 3:02:34 time: 0.3288 data_time: 0.0415 memory: 9707 grad_norm: 0.9175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5383 loss: 0.5383 2022/08/05 15:41:54 - mmengine - INFO - Epoch(train) [41][60/161] lr: 1.8636e-01 eta: 3:02:26 time: 0.3245 data_time: 0.0424 memory: 9707 grad_norm: 1.0680 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4919 loss: 0.4919 2022/08/05 15:42:00 - mmengine - INFO - Epoch(train) [41][80/161] lr: 1.8628e-01 eta: 3:02:17 time: 0.3205 data_time: 0.0386 memory: 9707 grad_norm: 1.0537 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5515 loss: 0.5515 2022/08/05 15:42:07 - mmengine - INFO - Epoch(train) [41][100/161] lr: 1.8620e-01 eta: 3:02:09 time: 0.3301 data_time: 0.0443 memory: 9707 grad_norm: 1.1013 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5696 loss: 0.5696 2022/08/05 15:42:13 - mmengine - INFO - Epoch(train) [41][120/161] lr: 1.8611e-01 eta: 3:02:01 time: 0.3234 data_time: 0.0419 memory: 9707 grad_norm: 1.1247 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5736 loss: 0.5736 2022/08/05 15:42:20 - mmengine - INFO - Epoch(train) [41][140/161] lr: 1.8603e-01 eta: 3:01:52 time: 0.3240 data_time: 0.0429 memory: 9707 grad_norm: 1.1185 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.5882 loss: 0.5882 2022/08/05 15:42:26 - mmengine - INFO - Epoch(train) [41][160/161] lr: 1.8595e-01 eta: 3:01:42 time: 0.3068 data_time: 0.0405 memory: 9707 grad_norm: 1.0311 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5810 loss: 0.5810 2022/08/05 15:42:26 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:42:26 - mmengine - INFO - Epoch(train) [41][161/161] lr: 1.8594e-01 eta: 3:01:42 time: 0.2972 data_time: 0.0428 memory: 652 grad_norm: 1.1564 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7749 loss: 0.7749 2022/08/05 15:42:35 - mmengine - INFO - Epoch(train) [42][20/161] lr: 1.8586e-01 eta: 3:01:47 time: 0.4745 data_time: 0.1292 memory: 9707 grad_norm: 1.0186 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6927 loss: 0.6927 2022/08/05 15:42:42 - mmengine - INFO - Epoch(train) [42][40/161] lr: 1.8578e-01 eta: 3:01:38 time: 0.3199 data_time: 0.0397 memory: 9707 grad_norm: 1.0408 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.6181 loss: 0.6181 2022/08/05 15:42:49 - mmengine - INFO - Epoch(train) [42][60/161] lr: 1.8569e-01 eta: 3:01:31 time: 0.3437 data_time: 0.0428 memory: 9707 grad_norm: 1.0076 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5218 loss: 0.5218 2022/08/05 15:42:55 - mmengine - INFO - Epoch(train) [42][80/161] lr: 1.8561e-01 eta: 3:01:22 time: 0.3187 data_time: 0.0400 memory: 9707 grad_norm: 1.1015 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5050 loss: 0.5050 2022/08/05 15:43:02 - mmengine - INFO - Epoch(train) [42][100/161] lr: 1.8553e-01 eta: 3:01:13 time: 0.3186 data_time: 0.0434 memory: 9707 grad_norm: 1.0181 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5030 loss: 0.5030 2022/08/05 15:43:08 - mmengine - INFO - Epoch(train) [42][120/161] lr: 1.8544e-01 eta: 3:01:05 time: 0.3280 data_time: 0.0406 memory: 9707 grad_norm: 1.0088 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5652 loss: 0.5652 2022/08/05 15:43:14 - mmengine - INFO - Epoch(train) [42][140/161] lr: 1.8536e-01 eta: 3:00:57 time: 0.3210 data_time: 0.0445 memory: 9707 grad_norm: 1.0386 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5102 loss: 0.5102 2022/08/05 15:43:20 - mmengine - INFO - Epoch(train) [42][160/161] lr: 1.8527e-01 eta: 3:00:46 time: 0.2927 data_time: 0.0380 memory: 9707 grad_norm: 1.1114 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6018 loss: 0.6018 2022/08/05 15:43:20 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:43:20 - mmengine - INFO - Epoch(train) [42][161/161] lr: 1.8527e-01 eta: 3:00:46 time: 0.2824 data_time: 0.0395 memory: 652 grad_norm: 1.2271 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7766 loss: 0.7766 2022/08/05 15:43:30 - mmengine - INFO - Epoch(train) [43][20/161] lr: 1.8518e-01 eta: 3:00:50 time: 0.4782 data_time: 0.1444 memory: 9707 grad_norm: 1.0283 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5275 loss: 0.5275 2022/08/05 15:43:36 - mmengine - INFO - Epoch(train) [43][40/161] lr: 1.8510e-01 eta: 3:00:41 time: 0.3221 data_time: 0.0382 memory: 9707 grad_norm: 1.0217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4785 loss: 0.4785 2022/08/05 15:43:43 - mmengine - INFO - Epoch(train) [43][60/161] lr: 1.8501e-01 eta: 3:00:33 time: 0.3207 data_time: 0.0412 memory: 9707 grad_norm: 1.0825 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6300 loss: 0.6300 2022/08/05 15:43:49 - mmengine - INFO - Epoch(train) [43][80/161] lr: 1.8493e-01 eta: 3:00:24 time: 0.3247 data_time: 0.0430 memory: 9707 grad_norm: 1.0134 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4797 loss: 0.4797 2022/08/05 15:43:56 - mmengine - INFO - Epoch(train) [43][100/161] lr: 1.8484e-01 eta: 3:00:16 time: 0.3208 data_time: 0.0428 memory: 9707 grad_norm: 1.0354 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4958 loss: 0.4958 2022/08/05 15:44:02 - mmengine - INFO - Epoch(train) [43][120/161] lr: 1.8475e-01 eta: 3:00:07 time: 0.3200 data_time: 0.0385 memory: 9707 grad_norm: 1.0811 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4502 loss: 0.4502 2022/08/05 15:44:09 - mmengine - INFO - Epoch(train) [43][140/161] lr: 1.8467e-01 eta: 2:59:59 time: 0.3240 data_time: 0.0416 memory: 9707 grad_norm: 1.0800 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5168 loss: 0.5168 2022/08/05 15:44:15 - mmengine - INFO - Epoch(train) [43][160/161] lr: 1.8458e-01 eta: 2:59:49 time: 0.3053 data_time: 0.0359 memory: 9707 grad_norm: 1.0829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5703 loss: 0.5703 2022/08/05 15:44:15 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:44:15 - mmengine - INFO - Epoch(train) [43][161/161] lr: 1.8458e-01 eta: 2:59:49 time: 0.2958 data_time: 0.0379 memory: 652 grad_norm: 1.2880 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5667 loss: 0.5667 2022/08/05 15:44:24 - mmengine - INFO - Epoch(train) [44][20/161] lr: 1.8449e-01 eta: 2:59:52 time: 0.4720 data_time: 0.1522 memory: 9707 grad_norm: 1.1028 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6880 loss: 0.6880 2022/08/05 15:44:31 - mmengine - INFO - Epoch(train) [44][40/161] lr: 1.8440e-01 eta: 2:59:43 time: 0.3184 data_time: 0.0386 memory: 9707 grad_norm: 1.0391 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6049 loss: 0.6049 2022/08/05 15:44:37 - mmengine - INFO - Epoch(train) [44][60/161] lr: 1.8432e-01 eta: 2:59:35 time: 0.3206 data_time: 0.0403 memory: 9707 grad_norm: 1.1147 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5177 loss: 0.5177 2022/08/05 15:44:43 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:44:44 - mmengine - INFO - Epoch(train) [44][80/161] lr: 1.8423e-01 eta: 2:59:26 time: 0.3205 data_time: 0.0397 memory: 9707 grad_norm: 1.0169 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5021 loss: 0.5021 2022/08/05 15:44:50 - mmengine - INFO - Epoch(train) [44][100/161] lr: 1.8414e-01 eta: 2:59:18 time: 0.3244 data_time: 0.0430 memory: 9707 grad_norm: 1.0537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5723 loss: 0.5723 2022/08/05 15:44:56 - mmengine - INFO - Epoch(train) [44][120/161] lr: 1.8405e-01 eta: 2:59:09 time: 0.3196 data_time: 0.0395 memory: 9707 grad_norm: 1.1963 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6558 loss: 0.6558 2022/08/05 15:45:03 - mmengine - INFO - Epoch(train) [44][140/161] lr: 1.8396e-01 eta: 2:59:00 time: 0.3190 data_time: 0.0454 memory: 9707 grad_norm: 1.0709 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5969 loss: 0.5969 2022/08/05 15:45:09 - mmengine - INFO - Epoch(train) [44][160/161] lr: 1.8388e-01 eta: 2:58:50 time: 0.2951 data_time: 0.0358 memory: 9707 grad_norm: 1.0934 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5051 loss: 0.5051 2022/08/05 15:45:09 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:45:09 - mmengine - INFO - Epoch(train) [44][161/161] lr: 1.8387e-01 eta: 2:58:50 time: 0.2858 data_time: 0.0378 memory: 652 grad_norm: 1.1871 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6862 loss: 0.6862 2022/08/05 15:45:19 - mmengine - INFO - Epoch(train) [45][20/161] lr: 1.8378e-01 eta: 2:58:54 time: 0.4830 data_time: 0.1701 memory: 9707 grad_norm: 1.1027 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5859 loss: 0.5859 2022/08/05 15:45:25 - mmengine - INFO - Epoch(train) [45][40/161] lr: 1.8369e-01 eta: 2:58:45 time: 0.3217 data_time: 0.0412 memory: 9707 grad_norm: 1.0336 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4610 loss: 0.4610 2022/08/05 15:45:31 - mmengine - INFO - Epoch(train) [45][60/161] lr: 1.8360e-01 eta: 2:58:36 time: 0.3181 data_time: 0.0419 memory: 9707 grad_norm: 0.9769 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4850 loss: 0.4850 2022/08/05 15:45:38 - mmengine - INFO - Epoch(train) [45][80/161] lr: 1.8352e-01 eta: 2:58:28 time: 0.3173 data_time: 0.0410 memory: 9707 grad_norm: 1.0117 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4937 loss: 0.4937 2022/08/05 15:45:44 - mmengine - INFO - Epoch(train) [45][100/161] lr: 1.8343e-01 eta: 2:58:19 time: 0.3188 data_time: 0.0406 memory: 9707 grad_norm: 1.0411 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6219 loss: 0.6219 2022/08/05 15:45:50 - mmengine - INFO - Epoch(train) [45][120/161] lr: 1.8334e-01 eta: 2:58:10 time: 0.3195 data_time: 0.0422 memory: 9707 grad_norm: 1.0393 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5419 loss: 0.5419 2022/08/05 15:45:57 - mmengine - INFO - Epoch(train) [45][140/161] lr: 1.8325e-01 eta: 2:58:02 time: 0.3278 data_time: 0.0455 memory: 9707 grad_norm: 1.0167 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4903 loss: 0.4903 2022/08/05 15:46:03 - mmengine - INFO - Epoch(train) [45][160/161] lr: 1.8316e-01 eta: 2:57:52 time: 0.2937 data_time: 0.0376 memory: 9707 grad_norm: 1.0437 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5374 loss: 0.5374 2022/08/05 15:46:03 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:46:03 - mmengine - INFO - Epoch(train) [45][161/161] lr: 1.8315e-01 eta: 2:57:52 time: 0.2835 data_time: 0.0377 memory: 652 grad_norm: 1.1486 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7377 loss: 0.7377 2022/08/05 15:46:13 - mmengine - INFO - Epoch(train) [46][20/161] lr: 1.8306e-01 eta: 2:57:55 time: 0.4799 data_time: 0.1616 memory: 9707 grad_norm: 1.0397 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5624 loss: 0.5624 2022/08/05 15:46:19 - mmengine - INFO - Epoch(train) [46][40/161] lr: 1.8297e-01 eta: 2:57:47 time: 0.3250 data_time: 0.0397 memory: 9707 grad_norm: 0.9566 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4320 loss: 0.4320 2022/08/05 15:46:26 - mmengine - INFO - Epoch(train) [46][60/161] lr: 1.8288e-01 eta: 2:57:39 time: 0.3264 data_time: 0.0423 memory: 9707 grad_norm: 1.0625 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5105 loss: 0.5105 2022/08/05 15:46:32 - mmengine - INFO - Epoch(train) [46][80/161] lr: 1.8279e-01 eta: 2:57:30 time: 0.3168 data_time: 0.0414 memory: 9707 grad_norm: 1.1345 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5702 loss: 0.5702 2022/08/05 15:46:38 - mmengine - INFO - Epoch(train) [46][100/161] lr: 1.8270e-01 eta: 2:57:22 time: 0.3199 data_time: 0.0407 memory: 9707 grad_norm: 1.0761 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5767 loss: 0.5767 2022/08/05 15:46:45 - mmengine - INFO - Epoch(train) [46][120/161] lr: 1.8261e-01 eta: 2:57:13 time: 0.3228 data_time: 0.0432 memory: 9707 grad_norm: 1.0433 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4896 loss: 0.4896 2022/08/05 15:46:51 - mmengine - INFO - Epoch(train) [46][140/161] lr: 1.8251e-01 eta: 2:57:05 time: 0.3163 data_time: 0.0455 memory: 9707 grad_norm: 1.0705 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5714 loss: 0.5714 2022/08/05 15:46:58 - mmengine - INFO - Epoch(train) [46][160/161] lr: 1.8242e-01 eta: 2:56:56 time: 0.3165 data_time: 0.0483 memory: 9707 grad_norm: 0.9733 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5761 loss: 0.5761 2022/08/05 15:46:58 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:46:58 - mmengine - INFO - Epoch(train) [46][161/161] lr: 1.8242e-01 eta: 2:56:56 time: 0.3062 data_time: 0.0501 memory: 652 grad_norm: 1.1297 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7302 loss: 0.7302 2022/08/05 15:47:07 - mmengine - INFO - Epoch(train) [47][20/161] lr: 1.8233e-01 eta: 2:56:58 time: 0.4742 data_time: 0.1623 memory: 9707 grad_norm: 1.0447 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5493 loss: 0.5493 2022/08/05 15:47:13 - mmengine - INFO - Epoch(train) [47][40/161] lr: 1.8223e-01 eta: 2:56:50 time: 0.3171 data_time: 0.0439 memory: 9707 grad_norm: 1.0375 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6053 loss: 0.6053 2022/08/05 15:47:20 - mmengine - INFO - Epoch(train) [47][60/161] lr: 1.8214e-01 eta: 2:56:43 time: 0.3374 data_time: 0.0461 memory: 9707 grad_norm: 0.9982 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5315 loss: 0.5315 2022/08/05 15:47:27 - mmengine - INFO - Epoch(train) [47][80/161] lr: 1.8205e-01 eta: 2:56:34 time: 0.3191 data_time: 0.0443 memory: 9707 grad_norm: 1.0328 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5450 loss: 0.5450 2022/08/05 15:47:33 - mmengine - INFO - Epoch(train) [47][100/161] lr: 1.8195e-01 eta: 2:56:26 time: 0.3202 data_time: 0.0467 memory: 9707 grad_norm: 1.1465 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5443 loss: 0.5443 2022/08/05 15:47:39 - mmengine - INFO - Epoch(train) [47][120/161] lr: 1.8186e-01 eta: 2:56:17 time: 0.3215 data_time: 0.0432 memory: 9707 grad_norm: 1.1002 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5382 loss: 0.5382 2022/08/05 15:47:46 - mmengine - INFO - Epoch(train) [47][140/161] lr: 1.8177e-01 eta: 2:56:09 time: 0.3233 data_time: 0.0491 memory: 9707 grad_norm: 1.0326 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5366 loss: 0.5366 2022/08/05 15:47:52 - mmengine - INFO - Epoch(train) [47][160/161] lr: 1.8167e-01 eta: 2:55:59 time: 0.2933 data_time: 0.0405 memory: 9707 grad_norm: 1.0564 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4824 loss: 0.4824 2022/08/05 15:47:52 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:47:52 - mmengine - INFO - Epoch(train) [47][161/161] lr: 1.8167e-01 eta: 2:55:59 time: 0.2831 data_time: 0.0417 memory: 652 grad_norm: 1.2141 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7426 loss: 0.7426 2022/08/05 15:48:01 - mmengine - INFO - Epoch(train) [48][20/161] lr: 1.8157e-01 eta: 2:56:01 time: 0.4688 data_time: 0.1292 memory: 9707 grad_norm: 1.0889 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5063 loss: 0.5063 2022/08/05 15:48:08 - mmengine - INFO - Epoch(train) [48][40/161] lr: 1.8148e-01 eta: 2:55:52 time: 0.3188 data_time: 0.0413 memory: 9707 grad_norm: 0.9486 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5077 loss: 0.5077 2022/08/05 15:48:14 - mmengine - INFO - Epoch(train) [48][60/161] lr: 1.8139e-01 eta: 2:55:43 time: 0.3178 data_time: 0.0474 memory: 9707 grad_norm: 0.9467 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5289 loss: 0.5289 2022/08/05 15:48:20 - mmengine - INFO - Epoch(train) [48][80/161] lr: 1.8129e-01 eta: 2:55:35 time: 0.3195 data_time: 0.0456 memory: 9707 grad_norm: 1.0511 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4226 loss: 0.4226 2022/08/05 15:48:27 - mmengine - INFO - Epoch(train) [48][100/161] lr: 1.8120e-01 eta: 2:55:28 time: 0.3321 data_time: 0.0452 memory: 9707 grad_norm: 1.0168 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4868 loss: 0.4868 2022/08/05 15:48:33 - mmengine - INFO - Epoch(train) [48][120/161] lr: 1.8110e-01 eta: 2:55:19 time: 0.3210 data_time: 0.0474 memory: 9707 grad_norm: 1.1372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.4994 loss: 0.4994 2022/08/05 15:48:40 - mmengine - INFO - Epoch(train) [48][140/161] lr: 1.8101e-01 eta: 2:55:11 time: 0.3170 data_time: 0.0477 memory: 9707 grad_norm: 1.0398 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4827 loss: 0.4827 2022/08/05 15:48:46 - mmengine - INFO - Epoch(train) [48][160/161] lr: 1.8091e-01 eta: 2:55:02 time: 0.3214 data_time: 0.0430 memory: 9707 grad_norm: 1.0412 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5639 loss: 0.5639 2022/08/05 15:48:46 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:48:46 - mmengine - INFO - Epoch(train) [48][161/161] lr: 1.8091e-01 eta: 2:55:02 time: 0.3121 data_time: 0.0443 memory: 652 grad_norm: 1.1845 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7273 loss: 0.7273 2022/08/05 15:48:56 - mmengine - INFO - Epoch(train) [49][20/161] lr: 1.8081e-01 eta: 2:55:04 time: 0.4716 data_time: 0.1460 memory: 9707 grad_norm: 1.1362 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5357 loss: 0.5357 2022/08/05 15:49:02 - mmengine - INFO - Epoch(train) [49][40/161] lr: 1.8071e-01 eta: 2:54:56 time: 0.3168 data_time: 0.0439 memory: 9707 grad_norm: 1.0458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5008 loss: 0.5008 2022/08/05 15:49:09 - mmengine - INFO - Epoch(train) [49][60/161] lr: 1.8062e-01 eta: 2:54:48 time: 0.3243 data_time: 0.0460 memory: 9707 grad_norm: 1.0338 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5558 loss: 0.5558 2022/08/05 15:49:15 - mmengine - INFO - Epoch(train) [49][80/161] lr: 1.8052e-01 eta: 2:54:39 time: 0.3197 data_time: 0.0443 memory: 9707 grad_norm: 1.1591 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4827 loss: 0.4827 2022/08/05 15:49:21 - mmengine - INFO - Epoch(train) [49][100/161] lr: 1.8043e-01 eta: 2:54:31 time: 0.3181 data_time: 0.0416 memory: 9707 grad_norm: 1.0970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5647 loss: 0.5647 2022/08/05 15:49:28 - mmengine - INFO - Epoch(train) [49][120/161] lr: 1.8033e-01 eta: 2:54:23 time: 0.3307 data_time: 0.0423 memory: 9707 grad_norm: 1.0639 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5698 loss: 0.5698 2022/08/05 15:49:34 - mmengine - INFO - Epoch(train) [49][140/161] lr: 1.8023e-01 eta: 2:54:15 time: 0.3180 data_time: 0.0448 memory: 9707 grad_norm: 1.0345 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4891 loss: 0.4891 2022/08/05 15:49:40 - mmengine - INFO - Epoch(train) [49][160/161] lr: 1.8014e-01 eta: 2:54:04 time: 0.2929 data_time: 0.0358 memory: 9707 grad_norm: 1.0075 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6329 loss: 0.6329 2022/08/05 15:49:40 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:49:40 - mmengine - INFO - Epoch(train) [49][161/161] lr: 1.8013e-01 eta: 2:54:04 time: 0.2834 data_time: 0.0377 memory: 652 grad_norm: 1.1260 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.8670 loss: 0.8670 2022/08/05 15:49:50 - mmengine - INFO - Epoch(train) [50][20/161] lr: 1.8003e-01 eta: 2:54:07 time: 0.4848 data_time: 0.1472 memory: 9707 grad_norm: 1.0389 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5702 loss: 0.5702 2022/08/05 15:49:56 - mmengine - INFO - Epoch(train) [50][40/161] lr: 1.7994e-01 eta: 2:53:58 time: 0.3153 data_time: 0.0431 memory: 9707 grad_norm: 1.1228 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5854 loss: 0.5854 2022/08/05 15:50:03 - mmengine - INFO - Epoch(train) [50][60/161] lr: 1.7984e-01 eta: 2:53:50 time: 0.3201 data_time: 0.0446 memory: 9707 grad_norm: 1.0387 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5341 loss: 0.5341 2022/08/05 15:50:09 - mmengine - INFO - Epoch(train) [50][80/161] lr: 1.7974e-01 eta: 2:53:42 time: 0.3291 data_time: 0.0401 memory: 9707 grad_norm: 1.0165 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4688 loss: 0.4688 2022/08/05 15:50:16 - mmengine - INFO - Epoch(train) [50][100/161] lr: 1.7964e-01 eta: 2:53:34 time: 0.3167 data_time: 0.0459 memory: 9707 grad_norm: 1.1422 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6790 loss: 0.6790 2022/08/05 15:50:19 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:50:22 - mmengine - INFO - Epoch(train) [50][120/161] lr: 1.7954e-01 eta: 2:53:25 time: 0.3174 data_time: 0.0423 memory: 9707 grad_norm: 1.0806 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4664 loss: 0.4664 2022/08/05 15:50:29 - mmengine - INFO - Epoch(train) [50][140/161] lr: 1.7944e-01 eta: 2:53:18 time: 0.3271 data_time: 0.0454 memory: 9707 grad_norm: 1.0248 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4602 loss: 0.4602 2022/08/05 15:50:34 - mmengine - INFO - Epoch(train) [50][160/161] lr: 1.7935e-01 eta: 2:53:07 time: 0.2912 data_time: 0.0362 memory: 9707 grad_norm: 1.0458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4189 loss: 0.4189 2022/08/05 15:50:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:50:35 - mmengine - INFO - Epoch(train) [50][161/161] lr: 1.7934e-01 eta: 2:53:07 time: 0.2818 data_time: 0.0378 memory: 652 grad_norm: 1.2205 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6033 loss: 0.6033 2022/08/05 15:50:35 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/08/05 15:50:46 - mmengine - INFO - Epoch(val) [50][20/67] eta: 0:00:20 time: 0.4352 data_time: 0.2546 memory: 1868 2022/08/05 15:50:52 - mmengine - INFO - Epoch(val) [50][40/67] eta: 0:00:07 time: 0.2832 data_time: 0.0996 memory: 1868 2022/08/05 15:50:56 - mmengine - INFO - Epoch(val) [50][60/67] eta: 0:00:01 time: 0.2220 data_time: 0.0720 memory: 1868 2022/08/05 15:50:58 - mmengine - INFO - Epoch(val) [50][67/67] acc/top1: 0.5590 acc/top5: 0.8453 acc/mean1: 0.4858 2022/08/05 15:51:07 - mmengine - INFO - Epoch(train) [51][20/161] lr: 1.7924e-01 eta: 2:53:09 time: 0.4751 data_time: 0.1577 memory: 9707 grad_norm: 1.1049 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6541 loss: 0.6541 2022/08/05 15:51:13 - mmengine - INFO - Epoch(train) [51][40/161] lr: 1.7914e-01 eta: 2:53:00 time: 0.3116 data_time: 0.0381 memory: 9707 grad_norm: 1.0402 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5842 loss: 0.5842 2022/08/05 15:51:20 - mmengine - INFO - Epoch(train) [51][60/161] lr: 1.7904e-01 eta: 2:52:52 time: 0.3221 data_time: 0.0424 memory: 9707 grad_norm: 1.1239 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6153 loss: 0.6153 2022/08/05 15:51:26 - mmengine - INFO - Epoch(train) [51][80/161] lr: 1.7894e-01 eta: 2:52:44 time: 0.3184 data_time: 0.0400 memory: 9707 grad_norm: 1.0274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4699 loss: 0.4699 2022/08/05 15:51:33 - mmengine - INFO - Epoch(train) [51][100/161] lr: 1.7884e-01 eta: 2:52:35 time: 0.3216 data_time: 0.0444 memory: 9707 grad_norm: 1.1111 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6292 loss: 0.6292 2022/08/05 15:51:39 - mmengine - INFO - Epoch(train) [51][120/161] lr: 1.7874e-01 eta: 2:52:27 time: 0.3195 data_time: 0.0408 memory: 9707 grad_norm: 1.0911 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4488 loss: 0.4488 2022/08/05 15:51:46 - mmengine - INFO - Epoch(train) [51][140/161] lr: 1.7864e-01 eta: 2:52:19 time: 0.3242 data_time: 0.0450 memory: 9707 grad_norm: 1.0636 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5478 loss: 0.5478 2022/08/05 15:51:51 - mmengine - INFO - Epoch(train) [51][160/161] lr: 1.7854e-01 eta: 2:52:09 time: 0.2927 data_time: 0.0366 memory: 9707 grad_norm: 1.0627 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4705 loss: 0.4705 2022/08/05 15:51:52 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:51:52 - mmengine - INFO - Epoch(train) [51][161/161] lr: 1.7854e-01 eta: 2:52:09 time: 0.2829 data_time: 0.0381 memory: 652 grad_norm: 1.2225 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6878 loss: 0.6878 2022/08/05 15:52:01 - mmengine - INFO - Epoch(train) [52][20/161] lr: 1.7844e-01 eta: 2:52:11 time: 0.4790 data_time: 0.1509 memory: 9707 grad_norm: 1.1085 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5767 loss: 0.5767 2022/08/05 15:52:07 - mmengine - INFO - Epoch(train) [52][40/161] lr: 1.7833e-01 eta: 2:52:02 time: 0.3150 data_time: 0.0392 memory: 9707 grad_norm: 1.0376 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4998 loss: 0.4998 2022/08/05 15:52:14 - mmengine - INFO - Epoch(train) [52][60/161] lr: 1.7823e-01 eta: 2:51:54 time: 0.3175 data_time: 0.0474 memory: 9707 grad_norm: 1.0104 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4747 loss: 0.4747 2022/08/05 15:52:20 - mmengine - INFO - Epoch(train) [52][80/161] lr: 1.7813e-01 eta: 2:51:45 time: 0.3170 data_time: 0.0402 memory: 9707 grad_norm: 0.9778 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5171 loss: 0.5171 2022/08/05 15:52:26 - mmengine - INFO - Epoch(train) [52][100/161] lr: 1.7803e-01 eta: 2:51:37 time: 0.3178 data_time: 0.0454 memory: 9707 grad_norm: 1.0695 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4962 loss: 0.4962 2022/08/05 15:52:33 - mmengine - INFO - Epoch(train) [52][120/161] lr: 1.7793e-01 eta: 2:51:29 time: 0.3170 data_time: 0.0423 memory: 9707 grad_norm: 1.1286 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6064 loss: 0.6064 2022/08/05 15:52:39 - mmengine - INFO - Epoch(train) [52][140/161] lr: 1.7783e-01 eta: 2:51:20 time: 0.3209 data_time: 0.0478 memory: 9707 grad_norm: 1.0013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4465 loss: 0.4465 2022/08/05 15:52:45 - mmengine - INFO - Epoch(train) [52][160/161] lr: 1.7772e-01 eta: 2:51:10 time: 0.2931 data_time: 0.0372 memory: 9707 grad_norm: 1.0444 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5829 loss: 0.5829 2022/08/05 15:52:45 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:52:45 - mmengine - INFO - Epoch(train) [52][161/161] lr: 1.7772e-01 eta: 2:51:10 time: 0.2830 data_time: 0.0389 memory: 652 grad_norm: 1.2244 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7600 loss: 0.7600 2022/08/05 15:52:55 - mmengine - INFO - Epoch(train) [53][20/161] lr: 1.7762e-01 eta: 2:51:12 time: 0.4729 data_time: 0.1667 memory: 9707 grad_norm: 1.2214 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6478 loss: 0.6478 2022/08/05 15:53:01 - mmengine - INFO - Epoch(train) [53][40/161] lr: 1.7751e-01 eta: 2:51:03 time: 0.3182 data_time: 0.0392 memory: 9707 grad_norm: 1.0383 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5545 loss: 0.5545 2022/08/05 15:53:07 - mmengine - INFO - Epoch(train) [53][60/161] lr: 1.7741e-01 eta: 2:50:55 time: 0.3204 data_time: 0.0442 memory: 9707 grad_norm: 0.9844 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5166 loss: 0.5166 2022/08/05 15:53:14 - mmengine - INFO - Epoch(train) [53][80/161] lr: 1.7731e-01 eta: 2:50:47 time: 0.3186 data_time: 0.0409 memory: 9707 grad_norm: 1.0430 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.5729 loss: 0.5729 2022/08/05 15:53:20 - mmengine - INFO - Epoch(train) [53][100/161] lr: 1.7721e-01 eta: 2:50:39 time: 0.3198 data_time: 0.0436 memory: 9707 grad_norm: 1.0711 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5156 loss: 0.5156 2022/08/05 15:53:27 - mmengine - INFO - Epoch(train) [53][120/161] lr: 1.7710e-01 eta: 2:50:30 time: 0.3184 data_time: 0.0424 memory: 9707 grad_norm: 1.0625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4032 loss: 0.4032 2022/08/05 15:53:33 - mmengine - INFO - Epoch(train) [53][140/161] lr: 1.7700e-01 eta: 2:50:22 time: 0.3219 data_time: 0.0429 memory: 9707 grad_norm: 1.0469 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4291 loss: 0.4291 2022/08/05 15:53:39 - mmengine - INFO - Epoch(train) [53][160/161] lr: 1.7689e-01 eta: 2:50:13 time: 0.2992 data_time: 0.0414 memory: 9707 grad_norm: 1.0491 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5436 loss: 0.5436 2022/08/05 15:53:39 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:53:39 - mmengine - INFO - Epoch(train) [53][161/161] lr: 1.7689e-01 eta: 2:50:13 time: 0.2893 data_time: 0.0431 memory: 652 grad_norm: 1.1528 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7432 loss: 0.7432 2022/08/05 15:53:49 - mmengine - INFO - Epoch(train) [54][20/161] lr: 1.7679e-01 eta: 2:50:14 time: 0.4835 data_time: 0.1423 memory: 9707 grad_norm: 1.0872 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5047 loss: 0.5047 2022/08/05 15:53:55 - mmengine - INFO - Epoch(train) [54][40/161] lr: 1.7668e-01 eta: 2:50:06 time: 0.3133 data_time: 0.0453 memory: 9707 grad_norm: 1.0567 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5062 loss: 0.5062 2022/08/05 15:54:01 - mmengine - INFO - Epoch(train) [54][60/161] lr: 1.7658e-01 eta: 2:49:58 time: 0.3202 data_time: 0.0417 memory: 9707 grad_norm: 1.0369 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5128 loss: 0.5128 2022/08/05 15:54:08 - mmengine - INFO - Epoch(train) [54][80/161] lr: 1.7647e-01 eta: 2:49:49 time: 0.3156 data_time: 0.0454 memory: 9707 grad_norm: 1.0877 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5124 loss: 0.5124 2022/08/05 15:54:14 - mmengine - INFO - Epoch(train) [54][100/161] lr: 1.7637e-01 eta: 2:49:41 time: 0.3163 data_time: 0.0435 memory: 9707 grad_norm: 1.0339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6003 loss: 0.6003 2022/08/05 15:54:21 - mmengine - INFO - Epoch(train) [54][120/161] lr: 1.7626e-01 eta: 2:49:33 time: 0.3242 data_time: 0.0437 memory: 9707 grad_norm: 1.0640 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4996 loss: 0.4996 2022/08/05 15:54:27 - mmengine - INFO - Epoch(train) [54][140/161] lr: 1.7616e-01 eta: 2:49:25 time: 0.3207 data_time: 0.0444 memory: 9707 grad_norm: 0.9966 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4553 loss: 0.4553 2022/08/05 15:54:33 - mmengine - INFO - Epoch(train) [54][160/161] lr: 1.7605e-01 eta: 2:49:15 time: 0.2910 data_time: 0.0393 memory: 9707 grad_norm: 0.9917 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5445 loss: 0.5445 2022/08/05 15:54:33 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:54:33 - mmengine - INFO - Epoch(train) [54][161/161] lr: 1.7605e-01 eta: 2:49:15 time: 0.2802 data_time: 0.0396 memory: 652 grad_norm: 1.1563 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7556 loss: 0.7556 2022/08/05 15:54:43 - mmengine - INFO - Epoch(train) [55][20/161] lr: 1.7594e-01 eta: 2:49:16 time: 0.4777 data_time: 0.1889 memory: 9707 grad_norm: 1.1241 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6359 loss: 0.6359 2022/08/05 15:54:49 - mmengine - INFO - Epoch(train) [55][40/161] lr: 1.7583e-01 eta: 2:49:08 time: 0.3168 data_time: 0.0420 memory: 9707 grad_norm: 1.1158 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5568 loss: 0.5568 2022/08/05 15:54:55 - mmengine - INFO - Epoch(train) [55][60/161] lr: 1.7573e-01 eta: 2:49:00 time: 0.3221 data_time: 0.0455 memory: 9707 grad_norm: 1.0805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5392 loss: 0.5392 2022/08/05 15:55:02 - mmengine - INFO - Epoch(train) [55][80/161] lr: 1.7562e-01 eta: 2:48:52 time: 0.3173 data_time: 0.0420 memory: 9707 grad_norm: 1.0258 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4048 loss: 0.4048 2022/08/05 15:55:08 - mmengine - INFO - Epoch(train) [55][100/161] lr: 1.7552e-01 eta: 2:48:44 time: 0.3266 data_time: 0.0481 memory: 9707 grad_norm: 1.0467 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4735 loss: 0.4735 2022/08/05 15:55:15 - mmengine - INFO - Epoch(train) [55][120/161] lr: 1.7541e-01 eta: 2:48:36 time: 0.3175 data_time: 0.0455 memory: 9707 grad_norm: 1.0074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4245 loss: 0.4245 2022/08/05 15:55:21 - mmengine - INFO - Epoch(train) [55][140/161] lr: 1.7530e-01 eta: 2:48:27 time: 0.3171 data_time: 0.0439 memory: 9707 grad_norm: 1.0844 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6060 loss: 0.6060 2022/08/05 15:55:27 - mmengine - INFO - Epoch(train) [55][160/161] lr: 1.7519e-01 eta: 2:48:18 time: 0.2936 data_time: 0.0414 memory: 9707 grad_norm: 0.9909 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4923 loss: 0.4923 2022/08/05 15:55:27 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:55:27 - mmengine - INFO - Epoch(train) [55][161/161] lr: 1.7519e-01 eta: 2:48:18 time: 0.2853 data_time: 0.0439 memory: 652 grad_norm: 1.1307 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6502 loss: 0.6502 2022/08/05 15:55:36 - mmengine - INFO - Epoch(train) [56][20/161] lr: 1.7508e-01 eta: 2:48:18 time: 0.4700 data_time: 0.1505 memory: 9707 grad_norm: 1.1481 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5402 loss: 0.5402 2022/08/05 15:55:43 - mmengine - INFO - Epoch(train) [56][40/161] lr: 1.7497e-01 eta: 2:48:10 time: 0.3144 data_time: 0.0411 memory: 9707 grad_norm: 1.0262 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4623 loss: 0.4623 2022/08/05 15:55:49 - mmengine - INFO - Epoch(train) [56][60/161] lr: 1.7487e-01 eta: 2:48:02 time: 0.3296 data_time: 0.0438 memory: 9707 grad_norm: 0.9805 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.5532 loss: 0.5532 2022/08/05 15:55:56 - mmengine - INFO - Epoch(train) [56][80/161] lr: 1.7476e-01 eta: 2:47:54 time: 0.3175 data_time: 0.0439 memory: 9707 grad_norm: 1.0281 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5250 loss: 0.5250 2022/08/05 15:56:02 - mmengine - INFO - Epoch(train) [56][100/161] lr: 1.7465e-01 eta: 2:47:46 time: 0.3151 data_time: 0.0453 memory: 9707 grad_norm: 1.0310 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5457 loss: 0.5457 2022/08/05 15:56:08 - mmengine - INFO - Epoch(train) [56][120/161] lr: 1.7454e-01 eta: 2:47:38 time: 0.3266 data_time: 0.0440 memory: 9707 grad_norm: 1.0232 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4041 loss: 0.4041 2022/08/05 15:56:15 - mmengine - INFO - Epoch(train) [56][140/161] lr: 1.7443e-01 eta: 2:47:30 time: 0.3187 data_time: 0.0430 memory: 9707 grad_norm: 1.0564 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4953 loss: 0.4953 2022/08/05 15:56:16 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:56:21 - mmengine - INFO - Epoch(train) [56][160/161] lr: 1.7433e-01 eta: 2:47:20 time: 0.2924 data_time: 0.0375 memory: 9707 grad_norm: 0.9787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.4904 loss: 0.4904 2022/08/05 15:56:21 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:56:21 - mmengine - INFO - Epoch(train) [56][161/161] lr: 1.7432e-01 eta: 2:47:20 time: 0.2815 data_time: 0.0379 memory: 652 grad_norm: 1.1008 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6230 loss: 0.6230 2022/08/05 15:56:30 - mmengine - INFO - Epoch(train) [57][20/161] lr: 1.7421e-01 eta: 2:47:20 time: 0.4692 data_time: 0.1431 memory: 9707 grad_norm: 1.0573 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5233 loss: 0.5233 2022/08/05 15:56:37 - mmengine - INFO - Epoch(train) [57][40/161] lr: 1.7410e-01 eta: 2:47:12 time: 0.3194 data_time: 0.0407 memory: 9707 grad_norm: 1.0756 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4522 loss: 0.4522 2022/08/05 15:56:43 - mmengine - INFO - Epoch(train) [57][60/161] lr: 1.7399e-01 eta: 2:47:04 time: 0.3172 data_time: 0.0422 memory: 9707 grad_norm: 1.0036 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4114 loss: 0.4114 2022/08/05 15:56:49 - mmengine - INFO - Epoch(train) [57][80/161] lr: 1.7388e-01 eta: 2:46:56 time: 0.3194 data_time: 0.0434 memory: 9707 grad_norm: 1.0859 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4850 loss: 0.4850 2022/08/05 15:56:56 - mmengine - INFO - Epoch(train) [57][100/161] lr: 1.7377e-01 eta: 2:46:48 time: 0.3231 data_time: 0.0450 memory: 9707 grad_norm: 1.0115 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4076 loss: 0.4076 2022/08/05 15:57:02 - mmengine - INFO - Epoch(train) [57][120/161] lr: 1.7366e-01 eta: 2:46:40 time: 0.3136 data_time: 0.0395 memory: 9707 grad_norm: 1.1154 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4886 loss: 0.4886 2022/08/05 15:57:08 - mmengine - INFO - Epoch(train) [57][140/161] lr: 1.7355e-01 eta: 2:46:32 time: 0.3220 data_time: 0.0461 memory: 9707 grad_norm: 1.1039 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5221 loss: 0.5221 2022/08/05 15:57:14 - mmengine - INFO - Epoch(train) [57][160/161] lr: 1.7344e-01 eta: 2:46:22 time: 0.2909 data_time: 0.0386 memory: 9707 grad_norm: 1.0359 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5096 loss: 0.5096 2022/08/05 15:57:14 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:57:14 - mmengine - INFO - Epoch(train) [57][161/161] lr: 1.7344e-01 eta: 2:46:22 time: 0.2808 data_time: 0.0393 memory: 652 grad_norm: 1.1742 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5778 loss: 0.5778 2022/08/05 15:57:24 - mmengine - INFO - Epoch(train) [58][20/161] lr: 1.7333e-01 eta: 2:46:22 time: 0.4725 data_time: 0.1674 memory: 9707 grad_norm: 1.1218 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5257 loss: 0.5257 2022/08/05 15:57:30 - mmengine - INFO - Epoch(train) [58][40/161] lr: 1.7322e-01 eta: 2:46:14 time: 0.3176 data_time: 0.0425 memory: 9707 grad_norm: 1.0142 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4477 loss: 0.4477 2022/08/05 15:57:37 - mmengine - INFO - Epoch(train) [58][60/161] lr: 1.7311e-01 eta: 2:46:06 time: 0.3183 data_time: 0.0432 memory: 9707 grad_norm: 1.0144 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4401 loss: 0.4401 2022/08/05 15:57:43 - mmengine - INFO - Epoch(train) [58][80/161] lr: 1.7299e-01 eta: 2:45:58 time: 0.3166 data_time: 0.0396 memory: 9707 grad_norm: 1.0618 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4733 loss: 0.4733 2022/08/05 15:57:49 - mmengine - INFO - Epoch(train) [58][100/161] lr: 1.7288e-01 eta: 2:45:50 time: 0.3209 data_time: 0.0449 memory: 9707 grad_norm: 1.0586 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4130 loss: 0.4130 2022/08/05 15:57:56 - mmengine - INFO - Epoch(train) [58][120/161] lr: 1.7277e-01 eta: 2:45:42 time: 0.3147 data_time: 0.0421 memory: 9707 grad_norm: 1.0803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4096 loss: 0.4096 2022/08/05 15:58:02 - mmengine - INFO - Epoch(train) [58][140/161] lr: 1.7266e-01 eta: 2:45:34 time: 0.3192 data_time: 0.0424 memory: 9707 grad_norm: 1.1223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5368 loss: 0.5368 2022/08/05 15:58:08 - mmengine - INFO - Epoch(train) [58][160/161] lr: 1.7255e-01 eta: 2:45:25 time: 0.3030 data_time: 0.0391 memory: 9707 grad_norm: 1.1387 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.5218 loss: 0.5218 2022/08/05 15:58:08 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:58:08 - mmengine - INFO - Epoch(train) [58][161/161] lr: 1.7254e-01 eta: 2:45:25 time: 0.2946 data_time: 0.0414 memory: 652 grad_norm: 1.2580 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7426 loss: 0.7426 2022/08/05 15:58:18 - mmengine - INFO - Epoch(train) [59][20/161] lr: 1.7243e-01 eta: 2:45:26 time: 0.4966 data_time: 0.1835 memory: 9707 grad_norm: 1.0443 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5410 loss: 0.5410 2022/08/05 15:58:24 - mmengine - INFO - Epoch(train) [59][40/161] lr: 1.7232e-01 eta: 2:45:18 time: 0.3125 data_time: 0.0423 memory: 9707 grad_norm: 1.0866 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4763 loss: 0.4763 2022/08/05 15:58:31 - mmengine - INFO - Epoch(train) [59][60/161] lr: 1.7221e-01 eta: 2:45:10 time: 0.3222 data_time: 0.0451 memory: 9707 grad_norm: 1.0842 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4946 loss: 0.4946 2022/08/05 15:58:37 - mmengine - INFO - Epoch(train) [59][80/161] lr: 1.7209e-01 eta: 2:45:02 time: 0.3199 data_time: 0.0454 memory: 9707 grad_norm: 1.0230 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5249 loss: 0.5249 2022/08/05 15:58:44 - mmengine - INFO - Epoch(train) [59][100/161] lr: 1.7198e-01 eta: 2:44:54 time: 0.3142 data_time: 0.0391 memory: 9707 grad_norm: 0.9880 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5143 loss: 0.5143 2022/08/05 15:58:50 - mmengine - INFO - Epoch(train) [59][120/161] lr: 1.7187e-01 eta: 2:44:46 time: 0.3267 data_time: 0.0445 memory: 9707 grad_norm: 1.0608 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3790 loss: 0.3790 2022/08/05 15:58:56 - mmengine - INFO - Epoch(train) [59][140/161] lr: 1.7175e-01 eta: 2:44:38 time: 0.3167 data_time: 0.0418 memory: 9707 grad_norm: 1.1000 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4034 loss: 0.4034 2022/08/05 15:59:02 - mmengine - INFO - Epoch(train) [59][160/161] lr: 1.7164e-01 eta: 2:44:29 time: 0.2929 data_time: 0.0414 memory: 9707 grad_norm: 1.0328 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4654 loss: 0.4654 2022/08/05 15:59:02 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:59:02 - mmengine - INFO - Epoch(train) [59][161/161] lr: 1.7164e-01 eta: 2:44:29 time: 0.2798 data_time: 0.0374 memory: 652 grad_norm: 1.1676 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6314 loss: 0.6314 2022/08/05 15:59:12 - mmengine - INFO - Epoch(train) [60][20/161] lr: 1.7152e-01 eta: 2:44:29 time: 0.4707 data_time: 0.1409 memory: 9707 grad_norm: 1.1760 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5480 loss: 0.5480 2022/08/05 15:59:18 - mmengine - INFO - Epoch(train) [60][40/161] lr: 1.7141e-01 eta: 2:44:21 time: 0.3202 data_time: 0.0457 memory: 9707 grad_norm: 1.0716 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4427 loss: 0.4427 2022/08/05 15:59:25 - mmengine - INFO - Epoch(train) [60][60/161] lr: 1.7129e-01 eta: 2:44:12 time: 0.3162 data_time: 0.0437 memory: 9707 grad_norm: 1.0637 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4655 loss: 0.4655 2022/08/05 15:59:31 - mmengine - INFO - Epoch(train) [60][80/161] lr: 1.7118e-01 eta: 2:44:05 time: 0.3276 data_time: 0.0494 memory: 9707 grad_norm: 0.9995 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3928 loss: 0.3928 2022/08/05 15:59:37 - mmengine - INFO - Epoch(train) [60][100/161] lr: 1.7107e-01 eta: 2:43:57 time: 0.3199 data_time: 0.0431 memory: 9707 grad_norm: 1.0392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3974 loss: 0.3974 2022/08/05 15:59:44 - mmengine - INFO - Epoch(train) [60][120/161] lr: 1.7095e-01 eta: 2:43:49 time: 0.3207 data_time: 0.0456 memory: 9707 grad_norm: 1.0924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4906 loss: 0.4906 2022/08/05 15:59:50 - mmengine - INFO - Epoch(train) [60][140/161] lr: 1.7084e-01 eta: 2:43:42 time: 0.3247 data_time: 0.0436 memory: 9707 grad_norm: 1.0042 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4685 loss: 0.4685 2022/08/05 15:59:56 - mmengine - INFO - Epoch(train) [60][160/161] lr: 1.7072e-01 eta: 2:43:32 time: 0.2958 data_time: 0.0418 memory: 9707 grad_norm: 1.0307 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4337 loss: 0.4337 2022/08/05 15:59:56 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 15:59:56 - mmengine - INFO - Epoch(train) [60][161/161] lr: 1.7072e-01 eta: 2:43:32 time: 0.2823 data_time: 0.0382 memory: 652 grad_norm: 1.2055 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6729 loss: 0.6729 2022/08/05 15:59:56 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/05 16:00:08 - mmengine - INFO - Epoch(val) [60][20/67] eta: 0:00:20 time: 0.4346 data_time: 0.2542 memory: 1868 2022/08/05 16:00:14 - mmengine - INFO - Epoch(val) [60][40/67] eta: 0:00:08 time: 0.3003 data_time: 0.1233 memory: 1868 2022/08/05 16:00:18 - mmengine - INFO - Epoch(val) [60][60/67] eta: 0:00:01 time: 0.2193 data_time: 0.0675 memory: 1868 2022/08/05 16:00:20 - mmengine - INFO - Epoch(val) [60][67/67] acc/top1: 0.4879 acc/top5: 0.8289 acc/mean1: 0.4156 2022/08/05 16:00:29 - mmengine - INFO - Epoch(train) [61][20/161] lr: 1.7060e-01 eta: 2:43:32 time: 0.4671 data_time: 0.1401 memory: 9707 grad_norm: 1.1538 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5344 loss: 0.5344 2022/08/05 16:00:36 - mmengine - INFO - Epoch(train) [61][40/161] lr: 1.7049e-01 eta: 2:43:24 time: 0.3158 data_time: 0.0400 memory: 9707 grad_norm: 1.0260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5016 loss: 0.5016 2022/08/05 16:00:42 - mmengine - INFO - Epoch(train) [61][60/161] lr: 1.7037e-01 eta: 2:43:16 time: 0.3266 data_time: 0.0475 memory: 9707 grad_norm: 1.0205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4144 loss: 0.4144 2022/08/05 16:00:48 - mmengine - INFO - Epoch(train) [61][80/161] lr: 1.7026e-01 eta: 2:43:08 time: 0.3192 data_time: 0.0420 memory: 9707 grad_norm: 1.0226 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.4595 loss: 0.4595 2022/08/05 16:00:55 - mmengine - INFO - Epoch(train) [61][100/161] lr: 1.7014e-01 eta: 2:43:00 time: 0.3165 data_time: 0.0442 memory: 9707 grad_norm: 1.0441 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4483 loss: 0.4483 2022/08/05 16:01:01 - mmengine - INFO - Epoch(train) [61][120/161] lr: 1.7002e-01 eta: 2:42:53 time: 0.3291 data_time: 0.0392 memory: 9707 grad_norm: 1.0210 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4498 loss: 0.4498 2022/08/05 16:01:08 - mmengine - INFO - Epoch(train) [61][140/161] lr: 1.6991e-01 eta: 2:42:45 time: 0.3155 data_time: 0.0428 memory: 9707 grad_norm: 1.0765 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3754 loss: 0.3754 2022/08/05 16:01:14 - mmengine - INFO - Epoch(train) [61][160/161] lr: 1.6979e-01 eta: 2:42:35 time: 0.2920 data_time: 0.0360 memory: 9707 grad_norm: 1.0363 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5225 loss: 0.5225 2022/08/05 16:01:14 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:01:14 - mmengine - INFO - Epoch(train) [61][161/161] lr: 1.6978e-01 eta: 2:42:35 time: 0.2813 data_time: 0.0370 memory: 652 grad_norm: 1.1553 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.6564 loss: 0.6564 2022/08/05 16:01:23 - mmengine - INFO - Epoch(train) [62][20/161] lr: 1.6967e-01 eta: 2:42:34 time: 0.4614 data_time: 0.1493 memory: 9707 grad_norm: 1.0825 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4867 loss: 0.4867 2022/08/05 16:01:29 - mmengine - INFO - Epoch(train) [62][40/161] lr: 1.6955e-01 eta: 2:42:27 time: 0.3276 data_time: 0.0422 memory: 9707 grad_norm: 1.0391 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4907 loss: 0.4907 2022/08/05 16:01:36 - mmengine - INFO - Epoch(train) [62][60/161] lr: 1.6943e-01 eta: 2:42:19 time: 0.3247 data_time: 0.0422 memory: 9707 grad_norm: 0.9651 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4809 loss: 0.4809 2022/08/05 16:01:42 - mmengine - INFO - Epoch(train) [62][80/161] lr: 1.6932e-01 eta: 2:42:11 time: 0.3131 data_time: 0.0414 memory: 9707 grad_norm: 1.0408 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3940 loss: 0.3940 2022/08/05 16:01:49 - mmengine - INFO - Epoch(train) [62][100/161] lr: 1.6920e-01 eta: 2:42:03 time: 0.3192 data_time: 0.0446 memory: 9707 grad_norm: 1.0172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4574 loss: 0.4574 2022/08/05 16:01:55 - mmengine - INFO - Epoch(train) [62][120/161] lr: 1.6908e-01 eta: 2:41:55 time: 0.3170 data_time: 0.0410 memory: 9707 grad_norm: 1.1283 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4769 loss: 0.4769 2022/08/05 16:02:01 - mmengine - INFO - Epoch(train) [62][140/161] lr: 1.6897e-01 eta: 2:41:47 time: 0.3195 data_time: 0.0458 memory: 9707 grad_norm: 0.9361 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4539 loss: 0.4539 2022/08/05 16:02:07 - mmengine - INFO - Epoch(train) [62][160/161] lr: 1.6885e-01 eta: 2:41:39 time: 0.3081 data_time: 0.0371 memory: 9707 grad_norm: 1.0409 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4152 loss: 0.4152 2022/08/05 16:02:08 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:02:08 - mmengine - INFO - Epoch(train) [62][161/161] lr: 1.6884e-01 eta: 2:41:39 time: 0.2985 data_time: 0.0394 memory: 652 grad_norm: 1.1723 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5866 loss: 0.5866 2022/08/05 16:02:17 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:02:17 - mmengine - INFO - Epoch(train) [63][20/161] lr: 1.6872e-01 eta: 2:41:39 time: 0.4766 data_time: 0.1387 memory: 9707 grad_norm: 1.1695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4963 loss: 0.4963 2022/08/05 16:02:24 - mmengine - INFO - Epoch(train) [63][40/161] lr: 1.6861e-01 eta: 2:41:30 time: 0.3167 data_time: 0.0415 memory: 9707 grad_norm: 1.1804 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5982 loss: 0.5982 2022/08/05 16:02:30 - mmengine - INFO - Epoch(train) [63][60/161] lr: 1.6849e-01 eta: 2:41:23 time: 0.3259 data_time: 0.0425 memory: 9707 grad_norm: 1.0752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4186 loss: 0.4186 2022/08/05 16:02:36 - mmengine - INFO - Epoch(train) [63][80/161] lr: 1.6837e-01 eta: 2:41:15 time: 0.3198 data_time: 0.0414 memory: 9707 grad_norm: 1.0829 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4417 loss: 0.4417 2022/08/05 16:02:43 - mmengine - INFO - Epoch(train) [63][100/161] lr: 1.6825e-01 eta: 2:41:07 time: 0.3181 data_time: 0.0421 memory: 9707 grad_norm: 0.9713 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4598 loss: 0.4598 2022/08/05 16:02:49 - mmengine - INFO - Epoch(train) [63][120/161] lr: 1.6813e-01 eta: 2:40:59 time: 0.3199 data_time: 0.0393 memory: 9707 grad_norm: 1.0398 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4919 loss: 0.4919 2022/08/05 16:02:56 - mmengine - INFO - Epoch(train) [63][140/161] lr: 1.6801e-01 eta: 2:40:52 time: 0.3204 data_time: 0.0452 memory: 9707 grad_norm: 1.1272 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4177 loss: 0.4177 2022/08/05 16:03:02 - mmengine - INFO - Epoch(train) [63][160/161] lr: 1.6789e-01 eta: 2:40:42 time: 0.2964 data_time: 0.0373 memory: 9707 grad_norm: 1.0738 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4889 loss: 0.4889 2022/08/05 16:03:02 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:03:02 - mmengine - INFO - Epoch(train) [63][161/161] lr: 1.6789e-01 eta: 2:40:42 time: 0.2841 data_time: 0.0383 memory: 652 grad_norm: 1.2435 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.6055 loss: 0.6055 2022/08/05 16:03:11 - mmengine - INFO - Epoch(train) [64][20/161] lr: 1.6777e-01 eta: 2:40:42 time: 0.4703 data_time: 0.1453 memory: 9707 grad_norm: 1.1047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5650 loss: 0.5650 2022/08/05 16:03:17 - mmengine - INFO - Epoch(train) [64][40/161] lr: 1.6765e-01 eta: 2:40:34 time: 0.3175 data_time: 0.0408 memory: 9707 grad_norm: 1.0208 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5996 loss: 0.5996 2022/08/05 16:03:24 - mmengine - INFO - Epoch(train) [64][60/161] lr: 1.6753e-01 eta: 2:40:26 time: 0.3142 data_time: 0.0408 memory: 9707 grad_norm: 1.0062 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4759 loss: 0.4759 2022/08/05 16:03:30 - mmengine - INFO - Epoch(train) [64][80/161] lr: 1.6741e-01 eta: 2:40:18 time: 0.3194 data_time: 0.0415 memory: 9707 grad_norm: 0.9778 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3379 loss: 0.3379 2022/08/05 16:03:36 - mmengine - INFO - Epoch(train) [64][100/161] lr: 1.6729e-01 eta: 2:40:10 time: 0.3202 data_time: 0.0457 memory: 9707 grad_norm: 1.1018 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5116 loss: 0.5116 2022/08/05 16:03:43 - mmengine - INFO - Epoch(train) [64][120/161] lr: 1.6717e-01 eta: 2:40:02 time: 0.3155 data_time: 0.0382 memory: 9707 grad_norm: 1.0335 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4934 loss: 0.4934 2022/08/05 16:03:49 - mmengine - INFO - Epoch(train) [64][140/161] lr: 1.6705e-01 eta: 2:39:54 time: 0.3219 data_time: 0.0414 memory: 9707 grad_norm: 1.0634 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3962 loss: 0.3962 2022/08/05 16:03:55 - mmengine - INFO - Epoch(train) [64][160/161] lr: 1.6693e-01 eta: 2:39:45 time: 0.2920 data_time: 0.0370 memory: 9707 grad_norm: 1.0357 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4725 loss: 0.4725 2022/08/05 16:03:55 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:03:55 - mmengine - INFO - Epoch(train) [64][161/161] lr: 1.6692e-01 eta: 2:39:45 time: 0.2821 data_time: 0.0386 memory: 652 grad_norm: 1.1783 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5221 loss: 0.5221 2022/08/05 16:04:05 - mmengine - INFO - Epoch(train) [65][20/161] lr: 1.6680e-01 eta: 2:39:44 time: 0.4730 data_time: 0.1494 memory: 9707 grad_norm: 1.0670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4254 loss: 0.4254 2022/08/05 16:04:11 - mmengine - INFO - Epoch(train) [65][40/161] lr: 1.6668e-01 eta: 2:39:36 time: 0.3156 data_time: 0.0421 memory: 9707 grad_norm: 1.0232 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4926 loss: 0.4926 2022/08/05 16:04:17 - mmengine - INFO - Epoch(train) [65][60/161] lr: 1.6656e-01 eta: 2:39:29 time: 0.3194 data_time: 0.0456 memory: 9707 grad_norm: 0.9937 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4098 loss: 0.4098 2022/08/05 16:04:24 - mmengine - INFO - Epoch(train) [65][80/161] lr: 1.6643e-01 eta: 2:39:21 time: 0.3177 data_time: 0.0429 memory: 9707 grad_norm: 1.0828 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4449 loss: 0.4449 2022/08/05 16:04:30 - mmengine - INFO - Epoch(train) [65][100/161] lr: 1.6631e-01 eta: 2:39:13 time: 0.3260 data_time: 0.0441 memory: 9707 grad_norm: 1.0369 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4998 loss: 0.4998 2022/08/05 16:04:37 - mmengine - INFO - Epoch(train) [65][120/161] lr: 1.6619e-01 eta: 2:39:06 time: 0.3197 data_time: 0.0432 memory: 9707 grad_norm: 1.1706 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5196 loss: 0.5196 2022/08/05 16:04:43 - mmengine - INFO - Epoch(train) [65][140/161] lr: 1.6607e-01 eta: 2:38:57 time: 0.3151 data_time: 0.0437 memory: 9707 grad_norm: 1.0154 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4651 loss: 0.4651 2022/08/05 16:04:49 - mmengine - INFO - Epoch(train) [65][160/161] lr: 1.6595e-01 eta: 2:38:49 time: 0.3080 data_time: 0.0374 memory: 9707 grad_norm: 1.0544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3915 loss: 0.3915 2022/08/05 16:04:49 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:04:49 - mmengine - INFO - Epoch(train) [65][161/161] lr: 1.6594e-01 eta: 2:38:49 time: 0.2971 data_time: 0.0382 memory: 652 grad_norm: 1.1890 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6371 loss: 0.6371 2022/08/05 16:04:59 - mmengine - INFO - Epoch(train) [66][20/161] lr: 1.6582e-01 eta: 2:38:49 time: 0.4822 data_time: 0.1291 memory: 9707 grad_norm: 1.1161 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5082 loss: 0.5082 2022/08/05 16:05:05 - mmengine - INFO - Epoch(train) [66][40/161] lr: 1.6570e-01 eta: 2:38:41 time: 0.3144 data_time: 0.0394 memory: 9707 grad_norm: 1.0441 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5699 loss: 0.5699 2022/08/05 16:05:12 - mmengine - INFO - Epoch(train) [66][60/161] lr: 1.6557e-01 eta: 2:38:33 time: 0.3178 data_time: 0.0395 memory: 9707 grad_norm: 1.1529 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4393 loss: 0.4393 2022/08/05 16:05:18 - mmengine - INFO - Epoch(train) [66][80/161] lr: 1.6545e-01 eta: 2:38:25 time: 0.3170 data_time: 0.0422 memory: 9707 grad_norm: 1.0354 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3835 loss: 0.3835 2022/08/05 16:05:24 - mmengine - INFO - Epoch(train) [66][100/161] lr: 1.6533e-01 eta: 2:38:17 time: 0.3186 data_time: 0.0449 memory: 9707 grad_norm: 0.9805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4429 loss: 0.4429 2022/08/05 16:05:31 - mmengine - INFO - Epoch(train) [66][120/161] lr: 1.6520e-01 eta: 2:38:10 time: 0.3235 data_time: 0.0410 memory: 9707 grad_norm: 1.0660 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3834 loss: 0.3834 2022/08/05 16:05:37 - mmengine - INFO - Epoch(train) [66][140/161] lr: 1.6508e-01 eta: 2:38:02 time: 0.3242 data_time: 0.0419 memory: 9707 grad_norm: 1.1023 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3886 loss: 0.3886 2022/08/05 16:05:43 - mmengine - INFO - Epoch(train) [66][160/161] lr: 1.6496e-01 eta: 2:37:53 time: 0.2892 data_time: 0.0358 memory: 9707 grad_norm: 1.1383 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4859 loss: 0.4859 2022/08/05 16:05:43 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:05:43 - mmengine - INFO - Epoch(train) [66][161/161] lr: 1.6495e-01 eta: 2:37:53 time: 0.2797 data_time: 0.0369 memory: 652 grad_norm: 1.2952 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7144 loss: 0.7144 2022/08/05 16:05:53 - mmengine - INFO - Epoch(train) [67][20/161] lr: 1.6483e-01 eta: 2:37:52 time: 0.4752 data_time: 0.1403 memory: 9707 grad_norm: 1.0673 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4886 loss: 0.4886 2022/08/05 16:05:59 - mmengine - INFO - Epoch(train) [67][40/161] lr: 1.6470e-01 eta: 2:37:44 time: 0.3197 data_time: 0.0387 memory: 9707 grad_norm: 0.9846 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4485 loss: 0.4485 2022/08/05 16:06:05 - mmengine - INFO - Epoch(train) [67][60/161] lr: 1.6458e-01 eta: 2:37:36 time: 0.3171 data_time: 0.0414 memory: 9707 grad_norm: 0.9732 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3928 loss: 0.3928 2022/08/05 16:06:12 - mmengine - INFO - Epoch(train) [67][80/161] lr: 1.6446e-01 eta: 2:37:28 time: 0.3177 data_time: 0.0406 memory: 9707 grad_norm: 1.1143 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4705 loss: 0.4705 2022/08/05 16:06:18 - mmengine - INFO - Epoch(train) [67][100/161] lr: 1.6433e-01 eta: 2:37:21 time: 0.3285 data_time: 0.0461 memory: 9707 grad_norm: 1.0033 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.4634 loss: 0.4634 2022/08/05 16:06:25 - mmengine - INFO - Epoch(train) [67][120/161] lr: 1.6421e-01 eta: 2:37:13 time: 0.3199 data_time: 0.0441 memory: 9707 grad_norm: 1.0472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4097 loss: 0.4097 2022/08/05 16:06:31 - mmengine - INFO - Epoch(train) [67][140/161] lr: 1.6408e-01 eta: 2:37:06 time: 0.3248 data_time: 0.0414 memory: 9707 grad_norm: 1.0402 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4889 loss: 0.4889 2022/08/05 16:06:37 - mmengine - INFO - Epoch(train) [67][160/161] lr: 1.6396e-01 eta: 2:36:58 time: 0.3064 data_time: 0.0352 memory: 9707 grad_norm: 1.0708 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3451 loss: 0.3451 2022/08/05 16:06:37 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:06:37 - mmengine - INFO - Epoch(train) [67][161/161] lr: 1.6395e-01 eta: 2:36:58 time: 0.2971 data_time: 0.0364 memory: 652 grad_norm: 1.2119 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5718 loss: 0.5718 2022/08/05 16:06:47 - mmengine - INFO - Epoch(train) [68][20/161] lr: 1.6383e-01 eta: 2:36:57 time: 0.4797 data_time: 0.1284 memory: 9707 grad_norm: 1.1722 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5630 loss: 0.5630 2022/08/05 16:06:53 - mmengine - INFO - Epoch(train) [68][40/161] lr: 1.6370e-01 eta: 2:36:49 time: 0.3201 data_time: 0.0418 memory: 9707 grad_norm: 1.0588 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4586 loss: 0.4586 2022/08/05 16:07:00 - mmengine - INFO - Epoch(train) [68][60/161] lr: 1.6357e-01 eta: 2:36:42 time: 0.3337 data_time: 0.0450 memory: 9707 grad_norm: 1.0828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3915 loss: 0.3915 2022/08/05 16:07:07 - mmengine - INFO - Epoch(train) [68][80/161] lr: 1.6345e-01 eta: 2:36:35 time: 0.3207 data_time: 0.0437 memory: 9707 grad_norm: 1.0926 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5311 loss: 0.5311 2022/08/05 16:07:13 - mmengine - INFO - Epoch(train) [68][100/161] lr: 1.6332e-01 eta: 2:36:27 time: 0.3175 data_time: 0.0457 memory: 9707 grad_norm: 1.0466 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3648 loss: 0.3648 2022/08/05 16:07:19 - mmengine - INFO - Epoch(train) [68][120/161] lr: 1.6320e-01 eta: 2:36:19 time: 0.3213 data_time: 0.0413 memory: 9707 grad_norm: 1.0288 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5025 loss: 0.5025 2022/08/05 16:07:26 - mmengine - INFO - Epoch(train) [68][140/161] lr: 1.6307e-01 eta: 2:36:11 time: 0.3179 data_time: 0.0433 memory: 9707 grad_norm: 1.1077 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4359 loss: 0.4359 2022/08/05 16:07:32 - mmengine - INFO - Epoch(train) [68][160/161] lr: 1.6294e-01 eta: 2:36:02 time: 0.2948 data_time: 0.0381 memory: 9707 grad_norm: 1.0662 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3459 loss: 0.3459 2022/08/05 16:07:32 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:07:32 - mmengine - INFO - Epoch(train) [68][161/161] lr: 1.6294e-01 eta: 2:36:02 time: 0.2852 data_time: 0.0396 memory: 652 grad_norm: 1.1951 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5577 loss: 0.5577 2022/08/05 16:07:41 - mmengine - INFO - Epoch(train) [69][20/161] lr: 1.6281e-01 eta: 2:36:01 time: 0.4691 data_time: 0.1496 memory: 9707 grad_norm: 1.0759 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3618 loss: 0.3618 2022/08/05 16:07:48 - mmengine - INFO - Epoch(train) [69][40/161] lr: 1.6269e-01 eta: 2:35:53 time: 0.3205 data_time: 0.0411 memory: 9707 grad_norm: 1.0613 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4538 loss: 0.4538 2022/08/05 16:07:51 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:07:54 - mmengine - INFO - Epoch(train) [69][60/161] lr: 1.6256e-01 eta: 2:35:45 time: 0.3149 data_time: 0.0407 memory: 9707 grad_norm: 1.1210 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3973 loss: 0.3973 2022/08/05 16:08:00 - mmengine - INFO - Epoch(train) [69][80/161] lr: 1.6243e-01 eta: 2:35:38 time: 0.3193 data_time: 0.0443 memory: 9707 grad_norm: 0.9765 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3950 loss: 0.3950 2022/08/05 16:08:07 - mmengine - INFO - Epoch(train) [69][100/161] lr: 1.6230e-01 eta: 2:35:30 time: 0.3192 data_time: 0.0426 memory: 9707 grad_norm: 1.0571 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4817 loss: 0.4817 2022/08/05 16:08:13 - mmengine - INFO - Epoch(train) [69][120/161] lr: 1.6218e-01 eta: 2:35:22 time: 0.3168 data_time: 0.0414 memory: 9707 grad_norm: 1.1009 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4965 loss: 0.4965 2022/08/05 16:08:19 - mmengine - INFO - Epoch(train) [69][140/161] lr: 1.6205e-01 eta: 2:35:15 time: 0.3207 data_time: 0.0437 memory: 9707 grad_norm: 1.0155 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3813 loss: 0.3813 2022/08/05 16:08:25 - mmengine - INFO - Epoch(train) [69][160/161] lr: 1.6192e-01 eta: 2:35:06 time: 0.2923 data_time: 0.0381 memory: 9707 grad_norm: 1.1729 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4427 loss: 0.4427 2022/08/05 16:08:25 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:08:25 - mmengine - INFO - Epoch(train) [69][161/161] lr: 1.6192e-01 eta: 2:35:06 time: 0.2816 data_time: 0.0393 memory: 652 grad_norm: 1.3239 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6742 loss: 0.6742 2022/08/05 16:08:35 - mmengine - INFO - Epoch(train) [70][20/161] lr: 1.6179e-01 eta: 2:35:05 time: 0.4780 data_time: 0.1327 memory: 9707 grad_norm: 1.1762 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4848 loss: 0.4848 2022/08/05 16:08:41 - mmengine - INFO - Epoch(train) [70][40/161] lr: 1.6166e-01 eta: 2:34:57 time: 0.3199 data_time: 0.0399 memory: 9707 grad_norm: 1.0813 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4294 loss: 0.4294 2022/08/05 16:08:48 - mmengine - INFO - Epoch(train) [70][60/161] lr: 1.6153e-01 eta: 2:34:49 time: 0.3236 data_time: 0.0465 memory: 9707 grad_norm: 1.0460 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4226 loss: 0.4226 2022/08/05 16:08:54 - mmengine - INFO - Epoch(train) [70][80/161] lr: 1.6140e-01 eta: 2:34:42 time: 0.3175 data_time: 0.0435 memory: 9707 grad_norm: 0.9905 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3668 loss: 0.3668 2022/08/05 16:09:01 - mmengine - INFO - Epoch(train) [70][100/161] lr: 1.6128e-01 eta: 2:34:34 time: 0.3201 data_time: 0.0423 memory: 9707 grad_norm: 1.0890 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5435 loss: 0.5435 2022/08/05 16:09:07 - mmengine - INFO - Epoch(train) [70][120/161] lr: 1.6115e-01 eta: 2:34:27 time: 0.3257 data_time: 0.0460 memory: 9707 grad_norm: 1.0253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3686 loss: 0.3686 2022/08/05 16:09:13 - mmengine - INFO - Epoch(train) [70][140/161] lr: 1.6102e-01 eta: 2:34:19 time: 0.3198 data_time: 0.0457 memory: 9707 grad_norm: 1.0162 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5159 loss: 0.5159 2022/08/05 16:09:20 - mmengine - INFO - Epoch(train) [70][160/161] lr: 1.6089e-01 eta: 2:34:11 time: 0.3189 data_time: 0.0343 memory: 9707 grad_norm: 1.0067 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3939 loss: 0.3939 2022/08/05 16:09:20 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:09:20 - mmengine - INFO - Epoch(train) [70][161/161] lr: 1.6088e-01 eta: 2:34:11 time: 0.3095 data_time: 0.0365 memory: 652 grad_norm: 1.1621 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6214 loss: 0.6214 2022/08/05 16:09:20 - mmengine - INFO - Saving checkpoint at 70 epochs 2022/08/05 16:09:32 - mmengine - INFO - Epoch(val) [70][20/67] eta: 0:00:20 time: 0.4447 data_time: 0.2547 memory: 1868 2022/08/05 16:09:37 - mmengine - INFO - Epoch(val) [70][40/67] eta: 0:00:07 time: 0.2845 data_time: 0.1053 memory: 1868 2022/08/05 16:09:41 - mmengine - INFO - Epoch(val) [70][60/67] eta: 0:00:01 time: 0.2071 data_time: 0.0675 memory: 1868 2022/08/05 16:09:43 - mmengine - INFO - Epoch(val) [70][67/67] acc/top1: 0.8055 acc/top5: 0.9879 acc/mean1: 0.6938 2022/08/05 16:09:43 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_gym_limb/best_acc/top1_epoch_31.pth is removed 2022/08/05 16:09:46 - mmengine - INFO - The best checkpoint with 0.8055 acc/top1 at 71 epoch is saved to best_acc/top1_epoch_71.pth. 2022/08/05 16:09:54 - mmengine - INFO - Epoch(train) [71][20/161] lr: 1.6075e-01 eta: 2:34:07 time: 0.4136 data_time: 0.1330 memory: 9707 grad_norm: 1.0369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4673 loss: 0.4673 2022/08/05 16:10:00 - mmengine - INFO - Epoch(train) [71][40/161] lr: 1.6062e-01 eta: 2:33:59 time: 0.3195 data_time: 0.0449 memory: 9707 grad_norm: 1.0513 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4214 loss: 0.4214 2022/08/05 16:10:07 - mmengine - INFO - Epoch(train) [71][60/161] lr: 1.6049e-01 eta: 2:33:52 time: 0.3165 data_time: 0.0415 memory: 9707 grad_norm: 1.0297 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4647 loss: 0.4647 2022/08/05 16:10:13 - mmengine - INFO - Epoch(train) [71][80/161] lr: 1.6037e-01 eta: 2:33:44 time: 0.3153 data_time: 0.0447 memory: 9707 grad_norm: 1.0694 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3571 loss: 0.3571 2022/08/05 16:10:20 - mmengine - INFO - Epoch(train) [71][100/161] lr: 1.6024e-01 eta: 2:33:37 time: 0.3349 data_time: 0.0455 memory: 9707 grad_norm: 1.1059 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3803 loss: 0.3803 2022/08/05 16:10:26 - mmengine - INFO - Epoch(train) [71][120/161] lr: 1.6011e-01 eta: 2:33:29 time: 0.3163 data_time: 0.0432 memory: 9707 grad_norm: 1.0887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4048 loss: 0.4048 2022/08/05 16:10:32 - mmengine - INFO - Epoch(train) [71][140/161] lr: 1.5998e-01 eta: 2:33:21 time: 0.3185 data_time: 0.0415 memory: 9707 grad_norm: 1.0203 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4748 loss: 0.4748 2022/08/05 16:10:38 - mmengine - INFO - Epoch(train) [71][160/161] lr: 1.5985e-01 eta: 2:33:13 time: 0.3016 data_time: 0.0396 memory: 9707 grad_norm: 1.1339 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4952 loss: 0.4952 2022/08/05 16:10:38 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:10:38 - mmengine - INFO - Epoch(train) [71][161/161] lr: 1.5984e-01 eta: 2:33:13 time: 0.2890 data_time: 0.0380 memory: 652 grad_norm: 1.2626 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7597 loss: 0.7597 2022/08/05 16:10:48 - mmengine - INFO - Epoch(train) [72][20/161] lr: 1.5971e-01 eta: 2:33:12 time: 0.4968 data_time: 0.1318 memory: 9707 grad_norm: 1.1265 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5093 loss: 0.5093 2022/08/05 16:10:55 - mmengine - INFO - Epoch(train) [72][40/161] lr: 1.5958e-01 eta: 2:33:05 time: 0.3168 data_time: 0.0418 memory: 9707 grad_norm: 0.9874 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4110 loss: 0.4110 2022/08/05 16:11:01 - mmengine - INFO - Epoch(train) [72][60/161] lr: 1.5945e-01 eta: 2:32:58 time: 0.3300 data_time: 0.0391 memory: 9707 grad_norm: 1.0362 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4055 loss: 0.4055 2022/08/05 16:11:08 - mmengine - INFO - Epoch(train) [72][80/161] lr: 1.5932e-01 eta: 2:32:50 time: 0.3192 data_time: 0.0439 memory: 9707 grad_norm: 1.1417 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3963 loss: 0.3963 2022/08/05 16:11:14 - mmengine - INFO - Epoch(train) [72][100/161] lr: 1.5919e-01 eta: 2:32:42 time: 0.3179 data_time: 0.0405 memory: 9707 grad_norm: 1.1409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4395 loss: 0.4395 2022/08/05 16:11:21 - mmengine - INFO - Epoch(train) [72][120/161] lr: 1.5905e-01 eta: 2:32:35 time: 0.3254 data_time: 0.0376 memory: 9707 grad_norm: 1.0227 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4197 loss: 0.4197 2022/08/05 16:11:27 - mmengine - INFO - Epoch(train) [72][140/161] lr: 1.5892e-01 eta: 2:32:27 time: 0.3251 data_time: 0.0422 memory: 9707 grad_norm: 1.0903 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3827 loss: 0.3827 2022/08/05 16:11:33 - mmengine - INFO - Epoch(train) [72][160/161] lr: 1.5879e-01 eta: 2:32:19 time: 0.2946 data_time: 0.0390 memory: 9707 grad_norm: 1.0829 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3399 loss: 0.3399 2022/08/05 16:11:33 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:11:33 - mmengine - INFO - Epoch(train) [72][161/161] lr: 1.5879e-01 eta: 2:32:19 time: 0.2819 data_time: 0.0353 memory: 652 grad_norm: 1.2461 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4910 loss: 0.4910 2022/08/05 16:11:43 - mmengine - INFO - Epoch(train) [73][20/161] lr: 1.5865e-01 eta: 2:32:17 time: 0.4801 data_time: 0.1352 memory: 9707 grad_norm: 1.0472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5053 loss: 0.5053 2022/08/05 16:11:49 - mmengine - INFO - Epoch(train) [73][40/161] lr: 1.5852e-01 eta: 2:32:10 time: 0.3198 data_time: 0.0409 memory: 9707 grad_norm: 1.0136 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4148 loss: 0.4148 2022/08/05 16:11:55 - mmengine - INFO - Epoch(train) [73][60/161] lr: 1.5839e-01 eta: 2:32:02 time: 0.3151 data_time: 0.0415 memory: 9707 grad_norm: 1.0736 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3897 loss: 0.3897 2022/08/05 16:12:02 - mmengine - INFO - Epoch(train) [73][80/161] lr: 1.5826e-01 eta: 2:31:54 time: 0.3220 data_time: 0.0413 memory: 9707 grad_norm: 1.0672 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4643 loss: 0.4643 2022/08/05 16:12:08 - mmengine - INFO - Epoch(train) [73][100/161] lr: 1.5813e-01 eta: 2:31:47 time: 0.3227 data_time: 0.0433 memory: 9707 grad_norm: 1.0273 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4758 loss: 0.4758 2022/08/05 16:12:15 - mmengine - INFO - Epoch(train) [73][120/161] lr: 1.5799e-01 eta: 2:31:39 time: 0.3198 data_time: 0.0446 memory: 9707 grad_norm: 1.0303 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3378 loss: 0.3378 2022/08/05 16:12:21 - mmengine - INFO - Epoch(train) [73][140/161] lr: 1.5786e-01 eta: 2:31:32 time: 0.3197 data_time: 0.0460 memory: 9707 grad_norm: 1.0878 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4774 loss: 0.4774 2022/08/05 16:12:27 - mmengine - INFO - Epoch(train) [73][160/161] lr: 1.5773e-01 eta: 2:31:23 time: 0.2931 data_time: 0.0388 memory: 9707 grad_norm: 1.0153 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4715 loss: 0.4715 2022/08/05 16:12:27 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:12:27 - mmengine - INFO - Epoch(train) [73][161/161] lr: 1.5772e-01 eta: 2:31:23 time: 0.2807 data_time: 0.0368 memory: 652 grad_norm: 1.1415 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7262 loss: 0.7262 2022/08/05 16:12:37 - mmengine - INFO - Epoch(train) [74][20/161] lr: 1.5759e-01 eta: 2:31:21 time: 0.4704 data_time: 0.1389 memory: 9707 grad_norm: 1.1446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4005 loss: 0.4005 2022/08/05 16:12:43 - mmengine - INFO - Epoch(train) [74][40/161] lr: 1.5746e-01 eta: 2:31:14 time: 0.3213 data_time: 0.0440 memory: 9707 grad_norm: 1.0995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5230 loss: 0.5230 2022/08/05 16:12:49 - mmengine - INFO - Epoch(train) [74][60/161] lr: 1.5732e-01 eta: 2:31:06 time: 0.3276 data_time: 0.0406 memory: 9707 grad_norm: 1.0595 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4240 loss: 0.4240 2022/08/05 16:12:56 - mmengine - INFO - Epoch(train) [74][80/161] lr: 1.5719e-01 eta: 2:30:59 time: 0.3188 data_time: 0.0428 memory: 9707 grad_norm: 0.9994 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3186 loss: 0.3186 2022/08/05 16:13:02 - mmengine - INFO - Epoch(train) [74][100/161] lr: 1.5706e-01 eta: 2:30:51 time: 0.3191 data_time: 0.0446 memory: 9707 grad_norm: 1.0244 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3474 loss: 0.3474 2022/08/05 16:13:09 - mmengine - INFO - Epoch(train) [74][120/161] lr: 1.5692e-01 eta: 2:30:44 time: 0.3227 data_time: 0.0386 memory: 9707 grad_norm: 1.0581 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4116 loss: 0.4116 2022/08/05 16:13:15 - mmengine - INFO - Epoch(train) [74][140/161] lr: 1.5679e-01 eta: 2:30:36 time: 0.3169 data_time: 0.0406 memory: 9707 grad_norm: 1.0553 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4493 loss: 0.4493 2022/08/05 16:13:21 - mmengine - INFO - Epoch(train) [74][160/161] lr: 1.5665e-01 eta: 2:30:28 time: 0.2980 data_time: 0.0408 memory: 9707 grad_norm: 1.0646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4771 loss: 0.4771 2022/08/05 16:13:21 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:13:21 - mmengine - INFO - Epoch(train) [74][161/161] lr: 1.5665e-01 eta: 2:30:28 time: 0.2869 data_time: 0.0390 memory: 652 grad_norm: 1.2472 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7225 loss: 0.7225 2022/08/05 16:13:31 - mmengine - INFO - Epoch(train) [75][20/161] lr: 1.5651e-01 eta: 2:30:26 time: 0.4684 data_time: 0.1259 memory: 9707 grad_norm: 1.1458 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4371 loss: 0.4371 2022/08/05 16:13:37 - mmengine - INFO - Epoch(train) [75][40/161] lr: 1.5638e-01 eta: 2:30:18 time: 0.3172 data_time: 0.0413 memory: 9707 grad_norm: 1.1009 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5386 loss: 0.5386 2022/08/05 16:13:44 - mmengine - INFO - Epoch(train) [75][60/161] lr: 1.5624e-01 eta: 2:30:11 time: 0.3376 data_time: 0.0417 memory: 9707 grad_norm: 1.0613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4720 loss: 0.4720 2022/08/05 16:13:50 - mmengine - INFO - Epoch(train) [75][80/161] lr: 1.5611e-01 eta: 2:30:03 time: 0.3187 data_time: 0.0411 memory: 9707 grad_norm: 1.0873 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3904 loss: 0.3904 2022/08/05 16:13:52 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:13:56 - mmengine - INFO - Epoch(train) [75][100/161] lr: 1.5598e-01 eta: 2:29:56 time: 0.3194 data_time: 0.0410 memory: 9707 grad_norm: 1.0752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4039 loss: 0.4039 2022/08/05 16:14:03 - mmengine - INFO - Epoch(train) [75][120/161] lr: 1.5584e-01 eta: 2:29:49 time: 0.3252 data_time: 0.0448 memory: 9707 grad_norm: 1.0629 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4126 loss: 0.4126 2022/08/05 16:14:09 - mmengine - INFO - Epoch(train) [75][140/161] lr: 1.5571e-01 eta: 2:29:41 time: 0.3240 data_time: 0.0391 memory: 9707 grad_norm: 1.0430 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3870 loss: 0.3870 2022/08/05 16:14:15 - mmengine - INFO - Epoch(train) [75][160/161] lr: 1.5557e-01 eta: 2:29:32 time: 0.2926 data_time: 0.0394 memory: 9707 grad_norm: 0.9860 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3883 loss: 0.3883 2022/08/05 16:14:15 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:14:15 - mmengine - INFO - Epoch(train) [75][161/161] lr: 1.5556e-01 eta: 2:29:32 time: 0.2802 data_time: 0.0362 memory: 652 grad_norm: 1.1262 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5456 loss: 0.5456 2022/08/05 16:14:25 - mmengine - INFO - Epoch(train) [76][20/161] lr: 1.5543e-01 eta: 2:29:30 time: 0.4699 data_time: 0.1732 memory: 9707 grad_norm: 1.0816 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4282 loss: 0.4282 2022/08/05 16:14:31 - mmengine - INFO - Epoch(train) [76][40/161] lr: 1.5529e-01 eta: 2:29:23 time: 0.3266 data_time: 0.0453 memory: 9707 grad_norm: 1.1043 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4155 loss: 0.4155 2022/08/05 16:14:38 - mmengine - INFO - Epoch(train) [76][60/161] lr: 1.5516e-01 eta: 2:29:16 time: 0.3203 data_time: 0.0400 memory: 9707 grad_norm: 1.0724 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3520 loss: 0.3520 2022/08/05 16:14:44 - mmengine - INFO - Epoch(train) [76][80/161] lr: 1.5502e-01 eta: 2:29:08 time: 0.3177 data_time: 0.0445 memory: 9707 grad_norm: 1.1045 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4004 loss: 0.4004 2022/08/05 16:14:51 - mmengine - INFO - Epoch(train) [76][100/161] lr: 1.5489e-01 eta: 2:29:01 time: 0.3301 data_time: 0.0431 memory: 9707 grad_norm: 1.0987 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4154 loss: 0.4154 2022/08/05 16:14:57 - mmengine - INFO - Epoch(train) [76][120/161] lr: 1.5475e-01 eta: 2:28:53 time: 0.3169 data_time: 0.0433 memory: 9707 grad_norm: 1.0528 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4275 loss: 0.4275 2022/08/05 16:15:03 - mmengine - INFO - Epoch(train) [76][140/161] lr: 1.5461e-01 eta: 2:28:46 time: 0.3187 data_time: 0.0424 memory: 9707 grad_norm: 1.0458 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4390 loss: 0.4390 2022/08/05 16:15:09 - mmengine - INFO - Epoch(train) [76][160/161] lr: 1.5448e-01 eta: 2:28:38 time: 0.3071 data_time: 0.0393 memory: 9707 grad_norm: 1.0527 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4213 loss: 0.4213 2022/08/05 16:15:10 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:15:10 - mmengine - INFO - Epoch(train) [76][161/161] lr: 1.5447e-01 eta: 2:28:38 time: 0.2947 data_time: 0.0357 memory: 652 grad_norm: 1.2106 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.5656 loss: 0.5656 2022/08/05 16:15:19 - mmengine - INFO - Epoch(train) [77][20/161] lr: 1.5433e-01 eta: 2:28:36 time: 0.4802 data_time: 0.1459 memory: 9707 grad_norm: 1.1341 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5307 loss: 0.5307 2022/08/05 16:15:26 - mmengine - INFO - Epoch(train) [77][40/161] lr: 1.5420e-01 eta: 2:28:28 time: 0.3182 data_time: 0.0407 memory: 9707 grad_norm: 1.0573 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4611 loss: 0.4611 2022/08/05 16:15:32 - mmengine - INFO - Epoch(train) [77][60/161] lr: 1.5406e-01 eta: 2:28:21 time: 0.3299 data_time: 0.0412 memory: 9707 grad_norm: 1.0574 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4205 loss: 0.4205 2022/08/05 16:15:39 - mmengine - INFO - Epoch(train) [77][80/161] lr: 1.5392e-01 eta: 2:28:14 time: 0.3189 data_time: 0.0417 memory: 9707 grad_norm: 1.0092 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4402 loss: 0.4402 2022/08/05 16:15:45 - mmengine - INFO - Epoch(train) [77][100/161] lr: 1.5379e-01 eta: 2:28:06 time: 0.3169 data_time: 0.0398 memory: 9707 grad_norm: 1.0296 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2891 loss: 0.2891 2022/08/05 16:15:51 - mmengine - INFO - Epoch(train) [77][120/161] lr: 1.5365e-01 eta: 2:27:59 time: 0.3266 data_time: 0.0417 memory: 9707 grad_norm: 1.0671 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3805 loss: 0.3805 2022/08/05 16:15:58 - mmengine - INFO - Epoch(train) [77][140/161] lr: 1.5351e-01 eta: 2:27:51 time: 0.3178 data_time: 0.0414 memory: 9707 grad_norm: 1.0287 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4273 loss: 0.4273 2022/08/05 16:16:04 - mmengine - INFO - Epoch(train) [77][160/161] lr: 1.5338e-01 eta: 2:27:42 time: 0.2931 data_time: 0.0388 memory: 9707 grad_norm: 1.1285 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5133 loss: 0.5133 2022/08/05 16:16:04 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:16:04 - mmengine - INFO - Epoch(train) [77][161/161] lr: 1.5337e-01 eta: 2:27:42 time: 0.2815 data_time: 0.0363 memory: 652 grad_norm: 1.2518 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7924 loss: 0.7924 2022/08/05 16:16:13 - mmengine - INFO - Epoch(train) [78][20/161] lr: 1.5323e-01 eta: 2:27:40 time: 0.4730 data_time: 0.1579 memory: 9707 grad_norm: 1.0179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4058 loss: 0.4058 2022/08/05 16:16:20 - mmengine - INFO - Epoch(train) [78][40/161] lr: 1.5309e-01 eta: 2:27:33 time: 0.3177 data_time: 0.0438 memory: 9707 grad_norm: 1.0302 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4060 loss: 0.4060 2022/08/05 16:16:26 - mmengine - INFO - Epoch(train) [78][60/161] lr: 1.5296e-01 eta: 2:27:25 time: 0.3245 data_time: 0.0414 memory: 9707 grad_norm: 1.0198 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3737 loss: 0.3737 2022/08/05 16:16:33 - mmengine - INFO - Epoch(train) [78][80/161] lr: 1.5282e-01 eta: 2:27:18 time: 0.3247 data_time: 0.0454 memory: 9707 grad_norm: 1.1553 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4885 loss: 0.4885 2022/08/05 16:16:39 - mmengine - INFO - Epoch(train) [78][100/161] lr: 1.5268e-01 eta: 2:27:11 time: 0.3189 data_time: 0.0427 memory: 9707 grad_norm: 1.1890 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4016 loss: 0.4016 2022/08/05 16:16:45 - mmengine - INFO - Epoch(train) [78][120/161] lr: 1.5254e-01 eta: 2:27:03 time: 0.3224 data_time: 0.0434 memory: 9707 grad_norm: 1.2135 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4579 loss: 0.4579 2022/08/05 16:16:52 - mmengine - INFO - Epoch(train) [78][140/161] lr: 1.5240e-01 eta: 2:26:56 time: 0.3211 data_time: 0.0401 memory: 9707 grad_norm: 1.0546 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4216 loss: 0.4216 2022/08/05 16:16:58 - mmengine - INFO - Epoch(train) [78][160/161] lr: 1.5226e-01 eta: 2:26:48 time: 0.3110 data_time: 0.0424 memory: 9707 grad_norm: 1.0269 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4154 loss: 0.4154 2022/08/05 16:16:58 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:16:58 - mmengine - INFO - Epoch(train) [78][161/161] lr: 1.5226e-01 eta: 2:26:48 time: 0.2996 data_time: 0.0416 memory: 652 grad_norm: 1.2000 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6527 loss: 0.6527 2022/08/05 16:17:08 - mmengine - INFO - Epoch(train) [79][20/161] lr: 1.5212e-01 eta: 2:26:46 time: 0.4846 data_time: 0.1673 memory: 9707 grad_norm: 1.0997 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4767 loss: 0.4767 2022/08/05 16:17:14 - mmengine - INFO - Epoch(train) [79][40/161] lr: 1.5198e-01 eta: 2:26:38 time: 0.3168 data_time: 0.0433 memory: 9707 grad_norm: 1.0228 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4472 loss: 0.4472 2022/08/05 16:17:21 - mmengine - INFO - Epoch(train) [79][60/161] lr: 1.5184e-01 eta: 2:26:31 time: 0.3238 data_time: 0.0432 memory: 9707 grad_norm: 1.0105 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3710 loss: 0.3710 2022/08/05 16:17:27 - mmengine - INFO - Epoch(train) [79][80/161] lr: 1.5170e-01 eta: 2:26:24 time: 0.3168 data_time: 0.0430 memory: 9707 grad_norm: 1.2187 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4478 loss: 0.4478 2022/08/05 16:17:33 - mmengine - INFO - Epoch(train) [79][100/161] lr: 1.5156e-01 eta: 2:26:16 time: 0.3191 data_time: 0.0430 memory: 9707 grad_norm: 1.1481 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3334 loss: 0.3334 2022/08/05 16:17:40 - mmengine - INFO - Epoch(train) [79][120/161] lr: 1.5142e-01 eta: 2:26:09 time: 0.3278 data_time: 0.0462 memory: 9707 grad_norm: 1.0494 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4080 loss: 0.4080 2022/08/05 16:17:46 - mmengine - INFO - Epoch(train) [79][140/161] lr: 1.5128e-01 eta: 2:26:01 time: 0.3175 data_time: 0.0421 memory: 9707 grad_norm: 1.0292 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4521 loss: 0.4521 2022/08/05 16:17:52 - mmengine - INFO - Epoch(train) [79][160/161] lr: 1.5114e-01 eta: 2:25:53 time: 0.2935 data_time: 0.0405 memory: 9707 grad_norm: 1.0420 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3622 loss: 0.3622 2022/08/05 16:17:52 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:17:52 - mmengine - INFO - Epoch(train) [79][161/161] lr: 1.5114e-01 eta: 2:25:53 time: 0.2810 data_time: 0.0377 memory: 652 grad_norm: 1.2392 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5650 loss: 0.5650 2022/08/05 16:18:02 - mmengine - INFO - Epoch(train) [80][20/161] lr: 1.5100e-01 eta: 2:25:50 time: 0.4704 data_time: 0.1513 memory: 9707 grad_norm: 1.1636 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4988 loss: 0.4988 2022/08/05 16:18:08 - mmengine - INFO - Epoch(train) [80][40/161] lr: 1.5086e-01 eta: 2:25:43 time: 0.3276 data_time: 0.0440 memory: 9707 grad_norm: 1.0569 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3510 loss: 0.3510 2022/08/05 16:18:15 - mmengine - INFO - Epoch(train) [80][60/161] lr: 1.5072e-01 eta: 2:25:36 time: 0.3198 data_time: 0.0437 memory: 9707 grad_norm: 1.0284 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3721 loss: 0.3721 2022/08/05 16:18:21 - mmengine - INFO - Epoch(train) [80][80/161] lr: 1.5058e-01 eta: 2:25:28 time: 0.3214 data_time: 0.0442 memory: 9707 grad_norm: 1.1217 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4614 loss: 0.4614 2022/08/05 16:18:27 - mmengine - INFO - Epoch(train) [80][100/161] lr: 1.5044e-01 eta: 2:25:21 time: 0.3158 data_time: 0.0393 memory: 9707 grad_norm: 1.0524 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3549 loss: 0.3549 2022/08/05 16:18:34 - mmengine - INFO - Epoch(train) [80][120/161] lr: 1.5030e-01 eta: 2:25:13 time: 0.3179 data_time: 0.0445 memory: 9707 grad_norm: 1.1155 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2983 loss: 0.2983 2022/08/05 16:18:40 - mmengine - INFO - Epoch(train) [80][140/161] lr: 1.5015e-01 eta: 2:25:06 time: 0.3242 data_time: 0.0418 memory: 9707 grad_norm: 1.1214 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3744 loss: 0.3744 2022/08/05 16:18:46 - mmengine - INFO - Epoch(train) [80][160/161] lr: 1.5001e-01 eta: 2:24:57 time: 0.2923 data_time: 0.0419 memory: 9707 grad_norm: 1.0531 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3385 loss: 0.3385 2022/08/05 16:18:46 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:18:46 - mmengine - INFO - Epoch(train) [80][161/161] lr: 1.5001e-01 eta: 2:24:57 time: 0.2805 data_time: 0.0390 memory: 652 grad_norm: 1.2801 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.4806 loss: 0.4806 2022/08/05 16:18:46 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/05 16:18:57 - mmengine - INFO - Epoch(val) [80][20/67] eta: 0:00:20 time: 0.4290 data_time: 0.2479 memory: 1868 2022/08/05 16:19:04 - mmengine - INFO - Epoch(val) [80][40/67] eta: 0:00:08 time: 0.3147 data_time: 0.1323 memory: 1868 2022/08/05 16:19:08 - mmengine - INFO - Epoch(val) [80][60/67] eta: 0:00:01 time: 0.2174 data_time: 0.0752 memory: 1868 2022/08/05 16:19:09 - mmengine - INFO - Epoch(val) [80][67/67] acc/top1: 0.6547 acc/top5: 0.9055 acc/mean1: 0.5492 2022/08/05 16:19:19 - mmengine - INFO - Epoch(train) [81][20/161] lr: 1.4987e-01 eta: 2:24:55 time: 0.4765 data_time: 0.1504 memory: 9707 grad_norm: 1.2312 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5055 loss: 0.5055 2022/08/05 16:19:25 - mmengine - INFO - Epoch(train) [81][40/161] lr: 1.4973e-01 eta: 2:24:47 time: 0.3156 data_time: 0.0408 memory: 9707 grad_norm: 1.0864 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.3922 loss: 0.3922 2022/08/05 16:19:32 - mmengine - INFO - Epoch(train) [81][60/161] lr: 1.4958e-01 eta: 2:24:40 time: 0.3187 data_time: 0.0458 memory: 9707 grad_norm: 1.0440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3700 loss: 0.3700 2022/08/05 16:19:38 - mmengine - INFO - Epoch(train) [81][80/161] lr: 1.4944e-01 eta: 2:24:33 time: 0.3243 data_time: 0.0454 memory: 9707 grad_norm: 1.1555 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4226 loss: 0.4226 2022/08/05 16:19:45 - mmengine - INFO - Epoch(train) [81][100/161] lr: 1.4930e-01 eta: 2:24:25 time: 0.3222 data_time: 0.0444 memory: 9707 grad_norm: 1.1545 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4663 loss: 0.4663 2022/08/05 16:19:51 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:19:51 - mmengine - INFO - Epoch(train) [81][120/161] lr: 1.4916e-01 eta: 2:24:18 time: 0.3299 data_time: 0.0407 memory: 9707 grad_norm: 1.1409 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3570 loss: 0.3570 2022/08/05 16:19:58 - mmengine - INFO - Epoch(train) [81][140/161] lr: 1.4902e-01 eta: 2:24:11 time: 0.3210 data_time: 0.0447 memory: 9707 grad_norm: 1.1001 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3866 loss: 0.3866 2022/08/05 16:20:04 - mmengine - INFO - Epoch(train) [81][160/161] lr: 1.4888e-01 eta: 2:24:02 time: 0.2948 data_time: 0.0370 memory: 9707 grad_norm: 1.0539 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4906 loss: 0.4906 2022/08/05 16:20:04 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:20:04 - mmengine - INFO - Epoch(train) [81][161/161] lr: 1.4887e-01 eta: 2:24:02 time: 0.2829 data_time: 0.0371 memory: 652 grad_norm: 1.2321 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.5605 loss: 0.5605 2022/08/05 16:20:13 - mmengine - INFO - Epoch(train) [82][20/161] lr: 1.4873e-01 eta: 2:24:00 time: 0.4788 data_time: 0.1676 memory: 9707 grad_norm: 1.1670 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5014 loss: 0.5014 2022/08/05 16:20:20 - mmengine - INFO - Epoch(train) [82][40/161] lr: 1.4859e-01 eta: 2:23:53 time: 0.3198 data_time: 0.0414 memory: 9707 grad_norm: 1.0496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4300 loss: 0.4300 2022/08/05 16:20:26 - mmengine - INFO - Epoch(train) [82][60/161] lr: 1.4844e-01 eta: 2:23:45 time: 0.3159 data_time: 0.0433 memory: 9707 grad_norm: 1.0634 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4079 loss: 0.4079 2022/08/05 16:20:32 - mmengine - INFO - Epoch(train) [82][80/161] lr: 1.4830e-01 eta: 2:23:38 time: 0.3216 data_time: 0.0408 memory: 9707 grad_norm: 1.1329 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4233 loss: 0.4233 2022/08/05 16:20:39 - mmengine - INFO - Epoch(train) [82][100/161] lr: 1.4816e-01 eta: 2:23:30 time: 0.3261 data_time: 0.0446 memory: 9707 grad_norm: 1.0815 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4039 loss: 0.4039 2022/08/05 16:20:45 - mmengine - INFO - Epoch(train) [82][120/161] lr: 1.4802e-01 eta: 2:23:23 time: 0.3188 data_time: 0.0420 memory: 9707 grad_norm: 1.1365 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4911 loss: 0.4911 2022/08/05 16:20:52 - mmengine - INFO - Epoch(train) [82][140/161] lr: 1.4787e-01 eta: 2:23:16 time: 0.3227 data_time: 0.0463 memory: 9707 grad_norm: 1.0680 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5160 loss: 0.5160 2022/08/05 16:20:58 - mmengine - INFO - Epoch(train) [82][160/161] lr: 1.4773e-01 eta: 2:23:07 time: 0.2896 data_time: 0.0357 memory: 9707 grad_norm: 1.0017 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3102 loss: 0.3102 2022/08/05 16:20:58 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:20:58 - mmengine - INFO - Epoch(train) [82][161/161] lr: 1.4772e-01 eta: 2:23:07 time: 0.2839 data_time: 0.0380 memory: 652 grad_norm: 1.1553 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.4325 loss: 0.4325 2022/08/05 16:21:07 - mmengine - INFO - Epoch(train) [83][20/161] lr: 1.4758e-01 eta: 2:23:04 time: 0.4680 data_time: 0.1727 memory: 9707 grad_norm: 1.1545 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4615 loss: 0.4615 2022/08/05 16:21:13 - mmengine - INFO - Epoch(train) [83][40/161] lr: 1.4744e-01 eta: 2:22:57 time: 0.3173 data_time: 0.0421 memory: 9707 grad_norm: 1.0366 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4078 loss: 0.4078 2022/08/05 16:21:20 - mmengine - INFO - Epoch(train) [83][60/161] lr: 1.4729e-01 eta: 2:22:49 time: 0.3230 data_time: 0.0449 memory: 9707 grad_norm: 1.0383 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4492 loss: 0.4492 2022/08/05 16:21:26 - mmengine - INFO - Epoch(train) [83][80/161] lr: 1.4715e-01 eta: 2:22:42 time: 0.3182 data_time: 0.0423 memory: 9707 grad_norm: 1.0492 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3554 loss: 0.3554 2022/08/05 16:21:33 - mmengine - INFO - Epoch(train) [83][100/161] lr: 1.4701e-01 eta: 2:22:35 time: 0.3254 data_time: 0.0450 memory: 9707 grad_norm: 1.0412 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3815 loss: 0.3815 2022/08/05 16:21:39 - mmengine - INFO - Epoch(train) [83][120/161] lr: 1.4686e-01 eta: 2:22:27 time: 0.3248 data_time: 0.0441 memory: 9707 grad_norm: 1.0026 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2867 loss: 0.2867 2022/08/05 16:21:46 - mmengine - INFO - Epoch(train) [83][140/161] lr: 1.4672e-01 eta: 2:22:20 time: 0.3176 data_time: 0.0447 memory: 9707 grad_norm: 1.0713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3786 loss: 0.3786 2022/08/05 16:21:51 - mmengine - INFO - Epoch(train) [83][160/161] lr: 1.4658e-01 eta: 2:22:11 time: 0.2906 data_time: 0.0380 memory: 9707 grad_norm: 1.0639 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3751 loss: 0.3751 2022/08/05 16:21:52 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:21:52 - mmengine - INFO - Epoch(train) [83][161/161] lr: 1.4657e-01 eta: 2:22:11 time: 0.2804 data_time: 0.0390 memory: 652 grad_norm: 1.1698 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5750 loss: 0.5750 2022/08/05 16:22:01 - mmengine - INFO - Epoch(train) [84][20/161] lr: 1.4642e-01 eta: 2:22:09 time: 0.4732 data_time: 0.1726 memory: 9707 grad_norm: 1.0970 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4802 loss: 0.4802 2022/08/05 16:22:07 - mmengine - INFO - Epoch(train) [84][40/161] lr: 1.4628e-01 eta: 2:22:01 time: 0.3156 data_time: 0.0417 memory: 9707 grad_norm: 0.9714 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3016 loss: 0.3016 2022/08/05 16:22:14 - mmengine - INFO - Epoch(train) [84][60/161] lr: 1.4614e-01 eta: 2:21:54 time: 0.3261 data_time: 0.0459 memory: 9707 grad_norm: 1.0768 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3193 loss: 0.3193 2022/08/05 16:22:20 - mmengine - INFO - Epoch(train) [84][80/161] lr: 1.4599e-01 eta: 2:21:47 time: 0.3194 data_time: 0.0440 memory: 9707 grad_norm: 1.0534 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4419 loss: 0.4419 2022/08/05 16:22:27 - mmengine - INFO - Epoch(train) [84][100/161] lr: 1.4585e-01 eta: 2:21:39 time: 0.3196 data_time: 0.0449 memory: 9707 grad_norm: 1.0315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3760 loss: 0.3760 2022/08/05 16:22:33 - mmengine - INFO - Epoch(train) [84][120/161] lr: 1.4570e-01 eta: 2:21:32 time: 0.3267 data_time: 0.0427 memory: 9707 grad_norm: 1.0520 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3496 loss: 0.3496 2022/08/05 16:22:42 - mmengine - INFO - Epoch(train) [84][140/161] lr: 1.4556e-01 eta: 2:21:29 time: 0.4280 data_time: 0.0471 memory: 9707 grad_norm: 1.0666 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3834 loss: 0.3834 2022/08/05 16:22:48 - mmengine - INFO - Epoch(train) [84][160/161] lr: 1.4541e-01 eta: 2:21:21 time: 0.3043 data_time: 0.0376 memory: 9707 grad_norm: 1.0537 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3102 loss: 0.3102 2022/08/05 16:22:48 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:22:48 - mmengine - INFO - Epoch(train) [84][161/161] lr: 1.4541e-01 eta: 2:21:21 time: 0.3046 data_time: 0.0402 memory: 652 grad_norm: 1.2302 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5216 loss: 0.5216 2022/08/05 16:22:58 - mmengine - INFO - Epoch(train) [85][20/161] lr: 1.4526e-01 eta: 2:21:18 time: 0.4726 data_time: 0.1595 memory: 9707 grad_norm: 1.0657 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3982 loss: 0.3982 2022/08/05 16:23:04 - mmengine - INFO - Epoch(train) [85][40/161] lr: 1.4512e-01 eta: 2:21:10 time: 0.3193 data_time: 0.0433 memory: 9707 grad_norm: 1.1109 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3413 loss: 0.3413 2022/08/05 16:23:11 - mmengine - INFO - Epoch(train) [85][60/161] lr: 1.4497e-01 eta: 2:21:03 time: 0.3233 data_time: 0.0453 memory: 9707 grad_norm: 1.0785 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4104 loss: 0.4104 2022/08/05 16:23:17 - mmengine - INFO - Epoch(train) [85][80/161] lr: 1.4483e-01 eta: 2:20:56 time: 0.3173 data_time: 0.0421 memory: 9707 grad_norm: 1.0576 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3900 loss: 0.3900 2022/08/05 16:23:23 - mmengine - INFO - Epoch(train) [85][100/161] lr: 1.4468e-01 eta: 2:20:48 time: 0.3197 data_time: 0.0477 memory: 9707 grad_norm: 1.0589 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2836 loss: 0.2836 2022/08/05 16:23:30 - mmengine - INFO - Epoch(train) [85][120/161] lr: 1.4453e-01 eta: 2:20:41 time: 0.3242 data_time: 0.0436 memory: 9707 grad_norm: 1.1388 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3619 loss: 0.3619 2022/08/05 16:23:36 - mmengine - INFO - Epoch(train) [85][140/161] lr: 1.4439e-01 eta: 2:20:34 time: 0.3198 data_time: 0.0455 memory: 9707 grad_norm: 1.1368 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3539 loss: 0.3539 2022/08/05 16:23:42 - mmengine - INFO - Epoch(train) [85][160/161] lr: 1.4424e-01 eta: 2:20:25 time: 0.3001 data_time: 0.0342 memory: 9707 grad_norm: 1.0305 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3943 loss: 0.3943 2022/08/05 16:23:42 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:23:42 - mmengine - INFO - Epoch(train) [85][161/161] lr: 1.4424e-01 eta: 2:20:25 time: 0.2906 data_time: 0.0358 memory: 652 grad_norm: 1.1807 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.5306 loss: 0.5306 2022/08/05 16:23:52 - mmengine - INFO - Epoch(train) [86][20/161] lr: 1.4409e-01 eta: 2:20:23 time: 0.4838 data_time: 0.1506 memory: 9707 grad_norm: 1.1834 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4175 loss: 0.4175 2022/08/05 16:23:58 - mmengine - INFO - Epoch(train) [86][40/161] lr: 1.4394e-01 eta: 2:20:15 time: 0.3164 data_time: 0.0444 memory: 9707 grad_norm: 1.0857 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3734 loss: 0.3734 2022/08/05 16:24:05 - mmengine - INFO - Epoch(train) [86][60/161] lr: 1.4380e-01 eta: 2:20:08 time: 0.3185 data_time: 0.0448 memory: 9707 grad_norm: 1.0504 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3527 loss: 0.3527 2022/08/05 16:24:11 - mmengine - INFO - Epoch(train) [86][80/161] lr: 1.4365e-01 eta: 2:20:01 time: 0.3173 data_time: 0.0446 memory: 9707 grad_norm: 1.0601 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3170 loss: 0.3170 2022/08/05 16:24:17 - mmengine - INFO - Epoch(train) [86][100/161] lr: 1.4351e-01 eta: 2:19:53 time: 0.3189 data_time: 0.0437 memory: 9707 grad_norm: 1.1255 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3854 loss: 0.3854 2022/08/05 16:24:24 - mmengine - INFO - Epoch(train) [86][120/161] lr: 1.4336e-01 eta: 2:19:46 time: 0.3194 data_time: 0.0434 memory: 9707 grad_norm: 1.1165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4042 loss: 0.4042 2022/08/05 16:24:30 - mmengine - INFO - Epoch(train) [86][140/161] lr: 1.4321e-01 eta: 2:19:38 time: 0.3210 data_time: 0.0448 memory: 9707 grad_norm: 1.0815 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4273 loss: 0.4273 2022/08/05 16:24:36 - mmengine - INFO - Epoch(train) [86][160/161] lr: 1.4307e-01 eta: 2:19:30 time: 0.2929 data_time: 0.0378 memory: 9707 grad_norm: 1.2122 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3955 loss: 0.3955 2022/08/05 16:24:36 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:24:36 - mmengine - INFO - Epoch(train) [86][161/161] lr: 1.4306e-01 eta: 2:19:30 time: 0.2836 data_time: 0.0390 memory: 652 grad_norm: 1.3602 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5904 loss: 0.5904 2022/08/05 16:24:46 - mmengine - INFO - Epoch(train) [87][20/161] lr: 1.4291e-01 eta: 2:19:27 time: 0.4683 data_time: 0.1378 memory: 9707 grad_norm: 1.1908 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4940 loss: 0.4940 2022/08/05 16:24:52 - mmengine - INFO - Epoch(train) [87][40/161] lr: 1.4276e-01 eta: 2:19:19 time: 0.3144 data_time: 0.0416 memory: 9707 grad_norm: 1.0425 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3468 loss: 0.3468 2022/08/05 16:24:58 - mmengine - INFO - Epoch(train) [87][60/161] lr: 1.4262e-01 eta: 2:19:12 time: 0.3221 data_time: 0.0468 memory: 9707 grad_norm: 1.1432 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3923 loss: 0.3923 2022/08/05 16:25:05 - mmengine - INFO - Epoch(train) [87][80/161] lr: 1.4247e-01 eta: 2:19:05 time: 0.3172 data_time: 0.0398 memory: 9707 grad_norm: 1.0222 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3680 loss: 0.3680 2022/08/05 16:25:11 - mmengine - INFO - Epoch(train) [87][100/161] lr: 1.4232e-01 eta: 2:18:57 time: 0.3180 data_time: 0.0440 memory: 9707 grad_norm: 1.0885 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4002 loss: 0.4002 2022/08/05 16:25:18 - mmengine - INFO - Epoch(train) [87][120/161] lr: 1.4218e-01 eta: 2:18:50 time: 0.3214 data_time: 0.0439 memory: 9707 grad_norm: 1.0666 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3596 loss: 0.3596 2022/08/05 16:25:24 - mmengine - INFO - Epoch(train) [87][140/161] lr: 1.4203e-01 eta: 2:18:42 time: 0.3209 data_time: 0.0476 memory: 9707 grad_norm: 0.9994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3870 loss: 0.3870 2022/08/05 16:25:28 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:25:30 - mmengine - INFO - Epoch(train) [87][160/161] lr: 1.4188e-01 eta: 2:18:34 time: 0.2968 data_time: 0.0391 memory: 9707 grad_norm: 1.0396 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.3576 loss: 0.3576 2022/08/05 16:25:30 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:25:30 - mmengine - INFO - Epoch(train) [87][161/161] lr: 1.4187e-01 eta: 2:18:34 time: 0.2855 data_time: 0.0396 memory: 652 grad_norm: 1.2527 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5644 loss: 0.5644 2022/08/05 16:25:39 - mmengine - INFO - Epoch(train) [88][20/161] lr: 1.4173e-01 eta: 2:18:31 time: 0.4715 data_time: 0.1369 memory: 9707 grad_norm: 1.1730 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5066 loss: 0.5066 2022/08/05 16:25:46 - mmengine - INFO - Epoch(train) [88][40/161] lr: 1.4158e-01 eta: 2:18:24 time: 0.3170 data_time: 0.0411 memory: 9707 grad_norm: 1.0643 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3703 loss: 0.3703 2022/08/05 16:25:52 - mmengine - INFO - Epoch(train) [88][60/161] lr: 1.4143e-01 eta: 2:18:17 time: 0.3250 data_time: 0.0422 memory: 9707 grad_norm: 1.0377 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4546 loss: 0.4546 2022/08/05 16:25:59 - mmengine - INFO - Epoch(train) [88][80/161] lr: 1.4128e-01 eta: 2:18:09 time: 0.3194 data_time: 0.0423 memory: 9707 grad_norm: 1.0772 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3350 loss: 0.3350 2022/08/05 16:26:05 - mmengine - INFO - Epoch(train) [88][100/161] lr: 1.4113e-01 eta: 2:18:02 time: 0.3227 data_time: 0.0473 memory: 9707 grad_norm: 1.1162 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4366 loss: 0.4366 2022/08/05 16:26:12 - mmengine - INFO - Epoch(train) [88][120/161] lr: 1.4099e-01 eta: 2:17:55 time: 0.3225 data_time: 0.0422 memory: 9707 grad_norm: 1.1150 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.3844 loss: 0.3844 2022/08/05 16:26:18 - mmengine - INFO - Epoch(train) [88][140/161] lr: 1.4084e-01 eta: 2:17:47 time: 0.3193 data_time: 0.0423 memory: 9707 grad_norm: 1.0763 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4492 loss: 0.4492 2022/08/05 16:26:24 - mmengine - INFO - Epoch(train) [88][160/161] lr: 1.4069e-01 eta: 2:17:39 time: 0.2984 data_time: 0.0383 memory: 9707 grad_norm: 1.1585 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3995 loss: 0.3995 2022/08/05 16:26:24 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:26:24 - mmengine - INFO - Epoch(train) [88][161/161] lr: 1.4068e-01 eta: 2:17:39 time: 0.2815 data_time: 0.0399 memory: 652 grad_norm: 1.2974 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5803 loss: 0.5803 2022/08/05 16:26:33 - mmengine - INFO - Epoch(train) [89][20/161] lr: 1.4053e-01 eta: 2:17:36 time: 0.4669 data_time: 0.1412 memory: 9707 grad_norm: 1.1328 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4426 loss: 0.4426 2022/08/05 16:26:40 - mmengine - INFO - Epoch(train) [89][40/161] lr: 1.4038e-01 eta: 2:17:29 time: 0.3179 data_time: 0.0404 memory: 9707 grad_norm: 0.9893 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3495 loss: 0.3495 2022/08/05 16:26:46 - mmengine - INFO - Epoch(train) [89][60/161] lr: 1.4023e-01 eta: 2:17:21 time: 0.3169 data_time: 0.0440 memory: 9707 grad_norm: 0.9926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3724 loss: 0.3724 2022/08/05 16:26:53 - mmengine - INFO - Epoch(train) [89][80/161] lr: 1.4009e-01 eta: 2:17:14 time: 0.3196 data_time: 0.0411 memory: 9707 grad_norm: 1.1412 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3367 loss: 0.3367 2022/08/05 16:26:59 - mmengine - INFO - Epoch(train) [89][100/161] lr: 1.3994e-01 eta: 2:17:06 time: 0.3188 data_time: 0.0433 memory: 9707 grad_norm: 1.1312 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4110 loss: 0.4110 2022/08/05 16:27:05 - mmengine - INFO - Epoch(train) [89][120/161] lr: 1.3979e-01 eta: 2:16:59 time: 0.3182 data_time: 0.0428 memory: 9707 grad_norm: 1.0964 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.4495 loss: 0.4495 2022/08/05 16:27:12 - mmengine - INFO - Epoch(train) [89][140/161] lr: 1.3964e-01 eta: 2:16:52 time: 0.3234 data_time: 0.0437 memory: 9707 grad_norm: 1.1454 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4375 loss: 0.4375 2022/08/05 16:27:18 - mmengine - INFO - Epoch(train) [89][160/161] lr: 1.3949e-01 eta: 2:16:43 time: 0.2941 data_time: 0.0365 memory: 9707 grad_norm: 1.1075 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3876 loss: 0.3876 2022/08/05 16:27:18 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:27:18 - mmengine - INFO - Epoch(train) [89][161/161] lr: 1.3948e-01 eta: 2:16:43 time: 0.2844 data_time: 0.0377 memory: 652 grad_norm: 1.2421 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.4762 loss: 0.4762 2022/08/05 16:27:27 - mmengine - INFO - Epoch(train) [90][20/161] lr: 1.3933e-01 eta: 2:16:41 time: 0.4798 data_time: 0.1523 memory: 9707 grad_norm: 1.0999 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4431 loss: 0.4431 2022/08/05 16:27:34 - mmengine - INFO - Epoch(train) [90][40/161] lr: 1.3918e-01 eta: 2:16:33 time: 0.3206 data_time: 0.0418 memory: 9707 grad_norm: 1.0589 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3425 loss: 0.3425 2022/08/05 16:27:40 - mmengine - INFO - Epoch(train) [90][60/161] lr: 1.3903e-01 eta: 2:16:26 time: 0.3192 data_time: 0.0436 memory: 9707 grad_norm: 1.0822 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3810 loss: 0.3810 2022/08/05 16:27:46 - mmengine - INFO - Epoch(train) [90][80/161] lr: 1.3888e-01 eta: 2:16:18 time: 0.3163 data_time: 0.0418 memory: 9707 grad_norm: 1.0130 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3390 loss: 0.3390 2022/08/05 16:27:53 - mmengine - INFO - Epoch(train) [90][100/161] lr: 1.3873e-01 eta: 2:16:11 time: 0.3233 data_time: 0.0462 memory: 9707 grad_norm: 1.0597 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2737 loss: 0.2737 2022/08/05 16:27:59 - mmengine - INFO - Epoch(train) [90][120/161] lr: 1.3858e-01 eta: 2:16:04 time: 0.3198 data_time: 0.0453 memory: 9707 grad_norm: 1.1623 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3974 loss: 0.3974 2022/08/05 16:28:06 - mmengine - INFO - Epoch(train) [90][140/161] lr: 1.3843e-01 eta: 2:15:57 time: 0.3185 data_time: 0.0437 memory: 9707 grad_norm: 1.0271 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3368 loss: 0.3368 2022/08/05 16:28:12 - mmengine - INFO - Epoch(train) [90][160/161] lr: 1.3828e-01 eta: 2:15:48 time: 0.2972 data_time: 0.0377 memory: 9707 grad_norm: 0.9777 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3846 loss: 0.3846 2022/08/05 16:28:12 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:28:12 - mmengine - INFO - Epoch(train) [90][161/161] lr: 1.3828e-01 eta: 2:15:48 time: 0.2867 data_time: 0.0382 memory: 652 grad_norm: 1.1705 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6241 loss: 0.6241 2022/08/05 16:28:12 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/08/05 16:28:23 - mmengine - INFO - Epoch(val) [90][20/67] eta: 0:00:19 time: 0.4176 data_time: 0.2353 memory: 1868 2022/08/05 16:28:29 - mmengine - INFO - Epoch(val) [90][40/67] eta: 0:00:08 time: 0.3179 data_time: 0.1253 memory: 1868 2022/08/05 16:28:34 - mmengine - INFO - Epoch(val) [90][60/67] eta: 0:00:01 time: 0.2208 data_time: 0.0842 memory: 1868 2022/08/05 16:28:35 - mmengine - INFO - Epoch(val) [90][67/67] acc/top1: 0.7970 acc/top5: 0.9775 acc/mean1: 0.7177 2022/08/05 16:28:45 - mmengine - INFO - Epoch(train) [91][20/161] lr: 1.3813e-01 eta: 2:15:45 time: 0.4669 data_time: 0.1433 memory: 9707 grad_norm: 1.1955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4143 loss: 0.4143 2022/08/05 16:28:51 - mmengine - INFO - Epoch(train) [91][40/161] lr: 1.3798e-01 eta: 2:15:38 time: 0.3351 data_time: 0.0400 memory: 9707 grad_norm: 1.0053 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2962 loss: 0.2962 2022/08/05 16:28:58 - mmengine - INFO - Epoch(train) [91][60/161] lr: 1.3782e-01 eta: 2:15:31 time: 0.3169 data_time: 0.0427 memory: 9707 grad_norm: 1.1046 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3354 loss: 0.3354 2022/08/05 16:29:04 - mmengine - INFO - Epoch(train) [91][80/161] lr: 1.3767e-01 eta: 2:15:23 time: 0.3188 data_time: 0.0399 memory: 9707 grad_norm: 1.1469 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3749 loss: 0.3749 2022/08/05 16:29:10 - mmengine - INFO - Epoch(train) [91][100/161] lr: 1.3752e-01 eta: 2:15:16 time: 0.3221 data_time: 0.0450 memory: 9707 grad_norm: 1.1301 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3248 loss: 0.3248 2022/08/05 16:29:17 - mmengine - INFO - Epoch(train) [91][120/161] lr: 1.3737e-01 eta: 2:15:09 time: 0.3175 data_time: 0.0408 memory: 9707 grad_norm: 1.1307 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4358 loss: 0.4358 2022/08/05 16:29:23 - mmengine - INFO - Epoch(train) [91][140/161] lr: 1.3722e-01 eta: 2:15:01 time: 0.3203 data_time: 0.0425 memory: 9707 grad_norm: 1.1503 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4439 loss: 0.4439 2022/08/05 16:29:30 - mmengine - INFO - Epoch(train) [91][160/161] lr: 1.3707e-01 eta: 2:14:54 time: 0.3261 data_time: 0.0392 memory: 9707 grad_norm: 1.1683 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3862 loss: 0.3862 2022/08/05 16:29:30 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:29:30 - mmengine - INFO - Epoch(train) [91][161/161] lr: 1.3706e-01 eta: 2:14:54 time: 0.3168 data_time: 0.0415 memory: 652 grad_norm: 1.3185 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6999 loss: 0.6999 2022/08/05 16:29:39 - mmengine - INFO - Epoch(train) [92][20/161] lr: 1.3691e-01 eta: 2:14:51 time: 0.4668 data_time: 0.1580 memory: 9707 grad_norm: 1.2336 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4442 loss: 0.4442 2022/08/05 16:29:46 - mmengine - INFO - Epoch(train) [92][40/161] lr: 1.3676e-01 eta: 2:14:44 time: 0.3222 data_time: 0.0423 memory: 9707 grad_norm: 1.0202 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4322 loss: 0.4322 2022/08/05 16:29:52 - mmengine - INFO - Epoch(train) [92][60/161] lr: 1.3661e-01 eta: 2:14:37 time: 0.3280 data_time: 0.0430 memory: 9707 grad_norm: 1.0827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3253 loss: 0.3253 2022/08/05 16:29:59 - mmengine - INFO - Epoch(train) [92][80/161] lr: 1.3646e-01 eta: 2:14:29 time: 0.3192 data_time: 0.0381 memory: 9707 grad_norm: 1.1326 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4695 loss: 0.4695 2022/08/05 16:30:05 - mmengine - INFO - Epoch(train) [92][100/161] lr: 1.3631e-01 eta: 2:14:22 time: 0.3176 data_time: 0.0436 memory: 9707 grad_norm: 1.1006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3637 loss: 0.3637 2022/08/05 16:30:12 - mmengine - INFO - Epoch(train) [92][120/161] lr: 1.3616e-01 eta: 2:14:15 time: 0.3302 data_time: 0.0416 memory: 9707 grad_norm: 1.0768 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5456 loss: 0.5456 2022/08/05 16:30:18 - mmengine - INFO - Epoch(train) [92][140/161] lr: 1.3600e-01 eta: 2:14:08 time: 0.3208 data_time: 0.0421 memory: 9707 grad_norm: 1.1347 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3774 loss: 0.3774 2022/08/05 16:30:24 - mmengine - INFO - Epoch(train) [92][160/161] lr: 1.3585e-01 eta: 2:14:00 time: 0.2957 data_time: 0.0379 memory: 9707 grad_norm: 1.0394 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3558 loss: 0.3558 2022/08/05 16:30:24 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:30:24 - mmengine - INFO - Epoch(train) [92][161/161] lr: 1.3584e-01 eta: 2:14:00 time: 0.2855 data_time: 0.0395 memory: 652 grad_norm: 1.2011 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.4498 loss: 0.4498 2022/08/05 16:30:33 - mmengine - INFO - Epoch(train) [93][20/161] lr: 1.3569e-01 eta: 2:13:56 time: 0.4720 data_time: 0.1602 memory: 9707 grad_norm: 1.0601 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4038 loss: 0.4038 2022/08/05 16:30:40 - mmengine - INFO - Epoch(train) [93][40/161] lr: 1.3554e-01 eta: 2:13:49 time: 0.3174 data_time: 0.0396 memory: 9707 grad_norm: 1.1250 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3696 loss: 0.3696 2022/08/05 16:30:46 - mmengine - INFO - Epoch(train) [93][60/161] lr: 1.3539e-01 eta: 2:13:41 time: 0.3199 data_time: 0.0458 memory: 9707 grad_norm: 1.1052 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3778 loss: 0.3778 2022/08/05 16:30:53 - mmengine - INFO - Epoch(train) [93][80/161] lr: 1.3524e-01 eta: 2:13:34 time: 0.3253 data_time: 0.0401 memory: 9707 grad_norm: 1.1004 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3119 loss: 0.3119 2022/08/05 16:30:59 - mmengine - INFO - Epoch(train) [93][100/161] lr: 1.3508e-01 eta: 2:13:27 time: 0.3174 data_time: 0.0446 memory: 9707 grad_norm: 1.1355 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3239 loss: 0.3239 2022/08/05 16:31:05 - mmengine - INFO - Epoch(train) [93][120/161] lr: 1.3493e-01 eta: 2:13:20 time: 0.3179 data_time: 0.0404 memory: 9707 grad_norm: 1.1458 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3693 loss: 0.3693 2022/08/05 16:31:12 - mmengine - INFO - Epoch(train) [93][140/161] lr: 1.3478e-01 eta: 2:13:13 time: 0.3306 data_time: 0.0441 memory: 9707 grad_norm: 1.1404 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4435 loss: 0.4435 2022/08/05 16:31:18 - mmengine - INFO - Epoch(train) [93][160/161] lr: 1.3463e-01 eta: 2:13:04 time: 0.2907 data_time: 0.0352 memory: 9707 grad_norm: 1.2046 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2803 loss: 0.2803 2022/08/05 16:31:18 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:31:18 - mmengine - INFO - Epoch(train) [93][161/161] lr: 1.3462e-01 eta: 2:13:04 time: 0.2812 data_time: 0.0369 memory: 652 grad_norm: 1.3822 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3831 loss: 0.3831 2022/08/05 16:31:27 - mmengine - INFO - Epoch(train) [94][20/161] lr: 1.3447e-01 eta: 2:13:01 time: 0.4676 data_time: 0.1552 memory: 9707 grad_norm: 1.1609 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5354 loss: 0.5354 2022/08/05 16:31:30 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:31:34 - mmengine - INFO - Epoch(train) [94][40/161] lr: 1.3431e-01 eta: 2:12:54 time: 0.3240 data_time: 0.0397 memory: 9707 grad_norm: 1.0725 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3655 loss: 0.3655 2022/08/05 16:31:40 - mmengine - INFO - Epoch(train) [94][60/161] lr: 1.3416e-01 eta: 2:12:46 time: 0.3164 data_time: 0.0438 memory: 9707 grad_norm: 0.9293 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3651 loss: 0.3651 2022/08/05 16:31:47 - mmengine - INFO - Epoch(train) [94][80/161] lr: 1.3401e-01 eta: 2:12:39 time: 0.3189 data_time: 0.0406 memory: 9707 grad_norm: 1.0511 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2913 loss: 0.2913 2022/08/05 16:31:53 - mmengine - INFO - Epoch(train) [94][100/161] lr: 1.3386e-01 eta: 2:12:32 time: 0.3211 data_time: 0.0411 memory: 9707 grad_norm: 1.0265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3489 loss: 0.3489 2022/08/05 16:31:59 - mmengine - INFO - Epoch(train) [94][120/161] lr: 1.3370e-01 eta: 2:12:24 time: 0.3207 data_time: 0.0402 memory: 9707 grad_norm: 0.9224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3043 loss: 0.3043 2022/08/05 16:32:06 - mmengine - INFO - Epoch(train) [94][140/161] lr: 1.3355e-01 eta: 2:12:17 time: 0.3156 data_time: 0.0419 memory: 9707 grad_norm: 1.0082 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3359 loss: 0.3359 2022/08/05 16:32:12 - mmengine - INFO - Epoch(train) [94][160/161] lr: 1.3340e-01 eta: 2:12:09 time: 0.3114 data_time: 0.0391 memory: 9707 grad_norm: 1.1236 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3796 loss: 0.3796 2022/08/05 16:32:12 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:32:12 - mmengine - INFO - Epoch(train) [94][161/161] lr: 1.3339e-01 eta: 2:12:09 time: 0.3033 data_time: 0.0422 memory: 652 grad_norm: 1.2659 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5541 loss: 0.5541 2022/08/05 16:32:22 - mmengine - INFO - Epoch(train) [95][20/161] lr: 1.3324e-01 eta: 2:12:06 time: 0.4783 data_time: 0.1566 memory: 9707 grad_norm: 1.2044 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4253 loss: 0.4253 2022/08/05 16:32:28 - mmengine - INFO - Epoch(train) [95][40/161] lr: 1.3308e-01 eta: 2:11:59 time: 0.3105 data_time: 0.0411 memory: 9707 grad_norm: 1.0719 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3386 loss: 0.3386 2022/08/05 16:32:34 - mmengine - INFO - Epoch(train) [95][60/161] lr: 1.3293e-01 eta: 2:11:51 time: 0.3209 data_time: 0.0409 memory: 9707 grad_norm: 1.1525 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3735 loss: 0.3735 2022/08/05 16:32:41 - mmengine - INFO - Epoch(train) [95][80/161] lr: 1.3277e-01 eta: 2:11:44 time: 0.3145 data_time: 0.0415 memory: 9707 grad_norm: 1.1989 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4374 loss: 0.4374 2022/08/05 16:32:47 - mmengine - INFO - Epoch(train) [95][100/161] lr: 1.3262e-01 eta: 2:11:36 time: 0.3156 data_time: 0.0418 memory: 9707 grad_norm: 1.0582 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4276 loss: 0.4276 2022/08/05 16:32:53 - mmengine - INFO - Epoch(train) [95][120/161] lr: 1.3247e-01 eta: 2:11:29 time: 0.3240 data_time: 0.0393 memory: 9707 grad_norm: 1.0594 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3613 loss: 0.3613 2022/08/05 16:33:00 - mmengine - INFO - Epoch(train) [95][140/161] lr: 1.3231e-01 eta: 2:11:22 time: 0.3174 data_time: 0.0450 memory: 9707 grad_norm: 1.0671 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4006 loss: 0.4006 2022/08/05 16:33:06 - mmengine - INFO - Epoch(train) [95][160/161] lr: 1.3216e-01 eta: 2:11:14 time: 0.2918 data_time: 0.0378 memory: 9707 grad_norm: 1.0964 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3125 loss: 0.3125 2022/08/05 16:33:06 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:33:06 - mmengine - INFO - Epoch(train) [95][161/161] lr: 1.3215e-01 eta: 2:11:14 time: 0.2814 data_time: 0.0388 memory: 652 grad_norm: 1.3097 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.4769 loss: 0.4769 2022/08/05 16:33:15 - mmengine - INFO - Epoch(train) [96][20/161] lr: 1.3200e-01 eta: 2:11:10 time: 0.4675 data_time: 0.1464 memory: 9707 grad_norm: 1.2611 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4714 loss: 0.4714 2022/08/05 16:33:21 - mmengine - INFO - Epoch(train) [96][40/161] lr: 1.3184e-01 eta: 2:11:03 time: 0.3139 data_time: 0.0395 memory: 9707 grad_norm: 1.1047 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3932 loss: 0.3932 2022/08/05 16:33:28 - mmengine - INFO - Epoch(train) [96][60/161] lr: 1.3169e-01 eta: 2:10:55 time: 0.3172 data_time: 0.0433 memory: 9707 grad_norm: 1.0134 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3303 loss: 0.3303 2022/08/05 16:33:34 - mmengine - INFO - Epoch(train) [96][80/161] lr: 1.3154e-01 eta: 2:10:48 time: 0.3191 data_time: 0.0393 memory: 9707 grad_norm: 1.0819 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.3645 loss: 0.3645 2022/08/05 16:33:40 - mmengine - INFO - Epoch(train) [96][100/161] lr: 1.3138e-01 eta: 2:10:41 time: 0.3193 data_time: 0.0443 memory: 9707 grad_norm: 1.0201 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2952 loss: 0.2952 2022/08/05 16:33:47 - mmengine - INFO - Epoch(train) [96][120/161] lr: 1.3123e-01 eta: 2:10:33 time: 0.3165 data_time: 0.0413 memory: 9707 grad_norm: 1.1636 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3628 loss: 0.3628 2022/08/05 16:33:53 - mmengine - INFO - Epoch(train) [96][140/161] lr: 1.3107e-01 eta: 2:10:26 time: 0.3180 data_time: 0.0445 memory: 9707 grad_norm: 1.2315 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3649 loss: 0.3649 2022/08/05 16:33:59 - mmengine - INFO - Epoch(train) [96][160/161] lr: 1.3092e-01 eta: 2:10:18 time: 0.2940 data_time: 0.0379 memory: 9707 grad_norm: 1.1134 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3164 loss: 0.3164 2022/08/05 16:33:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:33:59 - mmengine - INFO - Epoch(train) [96][161/161] lr: 1.3091e-01 eta: 2:10:18 time: 0.2850 data_time: 0.0401 memory: 652 grad_norm: 1.2480 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5886 loss: 0.5886 2022/08/05 16:34:08 - mmengine - INFO - Epoch(train) [97][20/161] lr: 1.3075e-01 eta: 2:10:14 time: 0.4611 data_time: 0.1396 memory: 9707 grad_norm: 1.1526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4144 loss: 0.4144 2022/08/05 16:34:15 - mmengine - INFO - Epoch(train) [97][40/161] lr: 1.3060e-01 eta: 2:10:07 time: 0.3157 data_time: 0.0411 memory: 9707 grad_norm: 1.0972 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3604 loss: 0.3604 2022/08/05 16:34:21 - mmengine - INFO - Epoch(train) [97][60/161] lr: 1.3045e-01 eta: 2:10:00 time: 0.3298 data_time: 0.0459 memory: 9707 grad_norm: 1.1080 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3179 loss: 0.3179 2022/08/05 16:34:28 - mmengine - INFO - Epoch(train) [97][80/161] lr: 1.3029e-01 eta: 2:09:52 time: 0.3150 data_time: 0.0396 memory: 9707 grad_norm: 1.0123 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2478 loss: 0.2478 2022/08/05 16:34:34 - mmengine - INFO - Epoch(train) [97][100/161] lr: 1.3014e-01 eta: 2:09:45 time: 0.3224 data_time: 0.0416 memory: 9707 grad_norm: 1.0034 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3544 loss: 0.3544 2022/08/05 16:34:40 - mmengine - INFO - Epoch(train) [97][120/161] lr: 1.2998e-01 eta: 2:09:38 time: 0.3170 data_time: 0.0445 memory: 9707 grad_norm: 1.0459 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3361 loss: 0.3361 2022/08/05 16:34:47 - mmengine - INFO - Epoch(train) [97][140/161] lr: 1.2982e-01 eta: 2:09:31 time: 0.3238 data_time: 0.0450 memory: 9707 grad_norm: 1.0741 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4285 loss: 0.4285 2022/08/05 16:34:53 - mmengine - INFO - Epoch(train) [97][160/161] lr: 1.2967e-01 eta: 2:09:23 time: 0.2984 data_time: 0.0366 memory: 9707 grad_norm: 1.2038 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3737 loss: 0.3737 2022/08/05 16:34:53 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:34:53 - mmengine - INFO - Epoch(train) [97][161/161] lr: 1.2966e-01 eta: 2:09:23 time: 0.2885 data_time: 0.0379 memory: 652 grad_norm: 1.3954 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5906 loss: 0.5906 2022/08/05 16:35:02 - mmengine - INFO - Epoch(train) [98][20/161] lr: 1.2951e-01 eta: 2:09:19 time: 0.4711 data_time: 0.1431 memory: 9707 grad_norm: 1.1707 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3591 loss: 0.3591 2022/08/05 16:35:09 - mmengine - INFO - Epoch(train) [98][40/161] lr: 1.2935e-01 eta: 2:09:12 time: 0.3155 data_time: 0.0430 memory: 9707 grad_norm: 1.1325 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3660 loss: 0.3660 2022/08/05 16:35:15 - mmengine - INFO - Epoch(train) [98][60/161] lr: 1.2920e-01 eta: 2:09:05 time: 0.3260 data_time: 0.0424 memory: 9707 grad_norm: 0.9897 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3530 loss: 0.3530 2022/08/05 16:35:22 - mmengine - INFO - Epoch(train) [98][80/161] lr: 1.2904e-01 eta: 2:08:58 time: 0.3217 data_time: 0.0392 memory: 9707 grad_norm: 1.0931 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3838 loss: 0.3838 2022/08/05 16:35:28 - mmengine - INFO - Epoch(train) [98][100/161] lr: 1.2888e-01 eta: 2:08:50 time: 0.3173 data_time: 0.0438 memory: 9707 grad_norm: 1.1898 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3597 loss: 0.3597 2022/08/05 16:35:35 - mmengine - INFO - Epoch(train) [98][120/161] lr: 1.2873e-01 eta: 2:08:43 time: 0.3254 data_time: 0.0418 memory: 9707 grad_norm: 1.0366 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2839 loss: 0.2839 2022/08/05 16:35:41 - mmengine - INFO - Epoch(train) [98][140/161] lr: 1.2857e-01 eta: 2:08:36 time: 0.3153 data_time: 0.0429 memory: 9707 grad_norm: 0.9867 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3166 loss: 0.3166 2022/08/05 16:35:47 - mmengine - INFO - Epoch(train) [98][160/161] lr: 1.2842e-01 eta: 2:08:28 time: 0.2911 data_time: 0.0375 memory: 9707 grad_norm: 1.0815 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2998 loss: 0.2998 2022/08/05 16:35:47 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:35:47 - mmengine - INFO - Epoch(train) [98][161/161] lr: 1.2841e-01 eta: 2:08:28 time: 0.2808 data_time: 0.0391 memory: 652 grad_norm: 1.3263 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5196 loss: 0.5196 2022/08/05 16:35:56 - mmengine - INFO - Epoch(train) [99][20/161] lr: 1.2825e-01 eta: 2:08:24 time: 0.4688 data_time: 0.1312 memory: 9707 grad_norm: 1.2435 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4402 loss: 0.4402 2022/08/05 16:36:03 - mmengine - INFO - Epoch(train) [99][40/161] lr: 1.2810e-01 eta: 2:08:17 time: 0.3175 data_time: 0.0395 memory: 9707 grad_norm: 1.0808 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3860 loss: 0.3860 2022/08/05 16:36:09 - mmengine - INFO - Epoch(train) [99][60/161] lr: 1.2794e-01 eta: 2:08:09 time: 0.3187 data_time: 0.0433 memory: 9707 grad_norm: 1.0744 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3150 loss: 0.3150 2022/08/05 16:36:15 - mmengine - INFO - Epoch(train) [99][80/161] lr: 1.2779e-01 eta: 2:08:02 time: 0.3201 data_time: 0.0375 memory: 9707 grad_norm: 1.1491 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3177 loss: 0.3177 2022/08/05 16:36:22 - mmengine - INFO - Epoch(train) [99][100/161] lr: 1.2763e-01 eta: 2:07:55 time: 0.3184 data_time: 0.0418 memory: 9707 grad_norm: 1.0488 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3116 loss: 0.3116 2022/08/05 16:36:28 - mmengine - INFO - Epoch(train) [99][120/161] lr: 1.2747e-01 eta: 2:07:47 time: 0.3141 data_time: 0.0382 memory: 9707 grad_norm: 1.1957 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3282 loss: 0.3282 2022/08/05 16:36:34 - mmengine - INFO - Epoch(train) [99][140/161] lr: 1.2732e-01 eta: 2:07:40 time: 0.3232 data_time: 0.0452 memory: 9707 grad_norm: 1.1593 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4448 loss: 0.4448 2022/08/05 16:36:41 - mmengine - INFO - Epoch(train) [99][160/161] lr: 1.2716e-01 eta: 2:07:33 time: 0.3101 data_time: 0.0423 memory: 9707 grad_norm: 1.0862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3574 loss: 0.3574 2022/08/05 16:36:41 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:36:41 - mmengine - INFO - Epoch(train) [99][161/161] lr: 1.2715e-01 eta: 2:07:33 time: 0.3010 data_time: 0.0441 memory: 652 grad_norm: 1.2803 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.4760 loss: 0.4760 2022/08/05 16:36:50 - mmengine - INFO - Epoch(train) [100][20/161] lr: 1.2700e-01 eta: 2:07:29 time: 0.4779 data_time: 0.1289 memory: 9707 grad_norm: 1.1476 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4167 loss: 0.4167 2022/08/05 16:36:57 - mmengine - INFO - Epoch(train) [100][40/161] lr: 1.2684e-01 eta: 2:07:22 time: 0.3131 data_time: 0.0393 memory: 9707 grad_norm: 1.0572 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3176 loss: 0.3176 2022/08/05 16:37:03 - mmengine - INFO - Epoch(train) [100][60/161] lr: 1.2668e-01 eta: 2:07:15 time: 0.3263 data_time: 0.0443 memory: 9707 grad_norm: 1.1107 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3290 loss: 0.3290 2022/08/05 16:37:03 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:37:10 - mmengine - INFO - Epoch(train) [100][80/161] lr: 1.2653e-01 eta: 2:07:07 time: 0.3203 data_time: 0.0426 memory: 9707 grad_norm: 1.1016 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2907 loss: 0.2907 2022/08/05 16:37:16 - mmengine - INFO - Epoch(train) [100][100/161] lr: 1.2637e-01 eta: 2:07:00 time: 0.3188 data_time: 0.0414 memory: 9707 grad_norm: 1.0671 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.3632 loss: 0.3632 2022/08/05 16:37:22 - mmengine - INFO - Epoch(train) [100][120/161] lr: 1.2621e-01 eta: 2:06:53 time: 0.3181 data_time: 0.0414 memory: 9707 grad_norm: 1.1005 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3040 loss: 0.3040 2022/08/05 16:37:29 - mmengine - INFO - Epoch(train) [100][140/161] lr: 1.2605e-01 eta: 2:06:46 time: 0.3194 data_time: 0.0422 memory: 9707 grad_norm: 1.0851 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3185 loss: 0.3185 2022/08/05 16:37:35 - mmengine - INFO - Epoch(train) [100][160/161] lr: 1.2590e-01 eta: 2:06:38 time: 0.2990 data_time: 0.0350 memory: 9707 grad_norm: 1.0041 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2986 loss: 0.2986 2022/08/05 16:37:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:37:35 - mmengine - INFO - Epoch(train) [100][161/161] lr: 1.2589e-01 eta: 2:06:38 time: 0.2890 data_time: 0.0372 memory: 652 grad_norm: 1.1691 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5582 loss: 0.5582 2022/08/05 16:37:35 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/05 16:37:46 - mmengine - INFO - Epoch(val) [100][20/67] eta: 0:00:19 time: 0.4220 data_time: 0.2361 memory: 1868 2022/08/05 16:37:52 - mmengine - INFO - Epoch(val) [100][40/67] eta: 0:00:07 time: 0.2814 data_time: 0.0965 memory: 1868 2022/08/05 16:37:56 - mmengine - INFO - Epoch(val) [100][60/67] eta: 0:00:01 time: 0.2171 data_time: 0.0765 memory: 1868 2022/08/05 16:37:57 - mmengine - INFO - Epoch(val) [100][67/67] acc/top1: 0.8074 acc/top5: 0.9803 acc/mean1: 0.7223 2022/08/05 16:37:58 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_gym_limb/best_acc/top1_epoch_71.pth is removed 2022/08/05 16:38:00 - mmengine - INFO - The best checkpoint with 0.8074 acc/top1 at 101 epoch is saved to best_acc/top1_epoch_101.pth. 2022/08/05 16:38:08 - mmengine - INFO - Epoch(train) [101][20/161] lr: 1.2573e-01 eta: 2:06:33 time: 0.4183 data_time: 0.1375 memory: 9707 grad_norm: 1.1823 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.3883 loss: 0.3883 2022/08/05 16:38:15 - mmengine - INFO - Epoch(train) [101][40/161] lr: 1.2558e-01 eta: 2:06:25 time: 0.3197 data_time: 0.0418 memory: 9707 grad_norm: 1.0492 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2526 loss: 0.2526 2022/08/05 16:38:21 - mmengine - INFO - Epoch(train) [101][60/161] lr: 1.2542e-01 eta: 2:06:18 time: 0.3199 data_time: 0.0422 memory: 9707 grad_norm: 1.0755 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3289 loss: 0.3289 2022/08/05 16:38:27 - mmengine - INFO - Epoch(train) [101][80/161] lr: 1.2526e-01 eta: 2:06:11 time: 0.3149 data_time: 0.0417 memory: 9707 grad_norm: 1.0728 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3601 loss: 0.3601 2022/08/05 16:38:34 - mmengine - INFO - Epoch(train) [101][100/161] lr: 1.2510e-01 eta: 2:06:03 time: 0.3189 data_time: 0.0403 memory: 9707 grad_norm: 1.0952 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3172 loss: 0.3172 2022/08/05 16:38:40 - mmengine - INFO - Epoch(train) [101][120/161] lr: 1.2495e-01 eta: 2:05:56 time: 0.3205 data_time: 0.0421 memory: 9707 grad_norm: 1.1546 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3006 loss: 0.3006 2022/08/05 16:38:47 - mmengine - INFO - Epoch(train) [101][140/161] lr: 1.2479e-01 eta: 2:05:49 time: 0.3164 data_time: 0.0380 memory: 9707 grad_norm: 1.0783 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2836 loss: 0.2836 2022/08/05 16:38:52 - mmengine - INFO - Epoch(train) [101][160/161] lr: 1.2463e-01 eta: 2:05:41 time: 0.2962 data_time: 0.0394 memory: 9707 grad_norm: 1.1944 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3564 loss: 0.3564 2022/08/05 16:38:53 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:38:53 - mmengine - INFO - Epoch(train) [101][161/161] lr: 1.2462e-01 eta: 2:05:41 time: 0.2839 data_time: 0.0380 memory: 652 grad_norm: 1.3589 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5803 loss: 0.5803 2022/08/05 16:39:02 - mmengine - INFO - Epoch(train) [102][20/161] lr: 1.2447e-01 eta: 2:05:37 time: 0.4644 data_time: 0.1491 memory: 9707 grad_norm: 1.1344 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4549 loss: 0.4549 2022/08/05 16:39:08 - mmengine - INFO - Epoch(train) [102][40/161] lr: 1.2431e-01 eta: 2:05:30 time: 0.3129 data_time: 0.0376 memory: 9707 grad_norm: 1.0940 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3516 loss: 0.3516 2022/08/05 16:39:15 - mmengine - INFO - Epoch(train) [102][60/161] lr: 1.2415e-01 eta: 2:05:22 time: 0.3184 data_time: 0.0441 memory: 9707 grad_norm: 0.9938 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3369 loss: 0.3369 2022/08/05 16:39:21 - mmengine - INFO - Epoch(train) [102][80/161] lr: 1.2399e-01 eta: 2:05:15 time: 0.3138 data_time: 0.0426 memory: 9707 grad_norm: 1.0958 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3335 loss: 0.3335 2022/08/05 16:39:27 - mmengine - INFO - Epoch(train) [102][100/161] lr: 1.2383e-01 eta: 2:05:08 time: 0.3152 data_time: 0.0402 memory: 9707 grad_norm: 1.0942 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3242 loss: 0.3242 2022/08/05 16:39:34 - mmengine - INFO - Epoch(train) [102][120/161] lr: 1.2368e-01 eta: 2:05:00 time: 0.3197 data_time: 0.0446 memory: 9707 grad_norm: 1.0923 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.2701 loss: 0.2701 2022/08/05 16:39:40 - mmengine - INFO - Epoch(train) [102][140/161] lr: 1.2352e-01 eta: 2:04:53 time: 0.3182 data_time: 0.0392 memory: 9707 grad_norm: 1.0735 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2859 loss: 0.2859 2022/08/05 16:39:46 - mmengine - INFO - Epoch(train) [102][160/161] lr: 1.2336e-01 eta: 2:04:45 time: 0.2923 data_time: 0.0386 memory: 9707 grad_norm: 1.2344 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4478 loss: 0.4478 2022/08/05 16:39:46 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:39:46 - mmengine - INFO - Epoch(train) [102][161/161] lr: 1.2335e-01 eta: 2:04:45 time: 0.2785 data_time: 0.0348 memory: 652 grad_norm: 1.3759 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.7468 loss: 0.7468 2022/08/05 16:39:55 - mmengine - INFO - Epoch(train) [103][20/161] lr: 1.2319e-01 eta: 2:04:41 time: 0.4717 data_time: 0.1426 memory: 9707 grad_norm: 1.1889 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4377 loss: 0.4377 2022/08/05 16:40:02 - mmengine - INFO - Epoch(train) [103][40/161] lr: 1.2304e-01 eta: 2:04:34 time: 0.3229 data_time: 0.0438 memory: 9707 grad_norm: 1.1321 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3562 loss: 0.3562 2022/08/05 16:40:08 - mmengine - INFO - Epoch(train) [103][60/161] lr: 1.2288e-01 eta: 2:04:27 time: 0.3146 data_time: 0.0397 memory: 9707 grad_norm: 1.0565 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2908 loss: 0.2908 2022/08/05 16:40:15 - mmengine - INFO - Epoch(train) [103][80/161] lr: 1.2272e-01 eta: 2:04:20 time: 0.3336 data_time: 0.0436 memory: 9707 grad_norm: 1.1347 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.4924 loss: 0.4924 2022/08/05 16:40:21 - mmengine - INFO - Epoch(train) [103][100/161] lr: 1.2256e-01 eta: 2:04:13 time: 0.3201 data_time: 0.0379 memory: 9707 grad_norm: 1.1599 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3209 loss: 0.3209 2022/08/05 16:40:27 - mmengine - INFO - Epoch(train) [103][120/161] lr: 1.2240e-01 eta: 2:04:06 time: 0.3150 data_time: 0.0415 memory: 9707 grad_norm: 1.0631 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3578 loss: 0.3578 2022/08/05 16:40:34 - mmengine - INFO - Epoch(train) [103][140/161] lr: 1.2224e-01 eta: 2:03:58 time: 0.3136 data_time: 0.0389 memory: 9707 grad_norm: 1.1848 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3763 loss: 0.3763 2022/08/05 16:40:40 - mmengine - INFO - Epoch(train) [103][160/161] lr: 1.2209e-01 eta: 2:03:51 time: 0.3007 data_time: 0.0387 memory: 9707 grad_norm: 1.1777 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3204 loss: 0.3204 2022/08/05 16:40:40 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:40:40 - mmengine - INFO - Epoch(train) [103][161/161] lr: 1.2208e-01 eta: 2:03:51 time: 0.3098 data_time: 0.0405 memory: 652 grad_norm: 1.3607 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5013 loss: 0.5013 2022/08/05 16:40:50 - mmengine - INFO - Epoch(train) [104][20/161] lr: 1.2192e-01 eta: 2:03:47 time: 0.4731 data_time: 0.1543 memory: 9707 grad_norm: 1.2216 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3568 loss: 0.3568 2022/08/05 16:40:56 - mmengine - INFO - Epoch(train) [104][40/161] lr: 1.2176e-01 eta: 2:03:39 time: 0.3132 data_time: 0.0427 memory: 9707 grad_norm: 0.9674 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3506 loss: 0.3506 2022/08/05 16:41:03 - mmengine - INFO - Epoch(train) [104][60/161] lr: 1.2160e-01 eta: 2:03:32 time: 0.3339 data_time: 0.0395 memory: 9707 grad_norm: 1.0635 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3553 loss: 0.3553 2022/08/05 16:41:09 - mmengine - INFO - Epoch(train) [104][80/161] lr: 1.2144e-01 eta: 2:03:25 time: 0.3159 data_time: 0.0381 memory: 9707 grad_norm: 1.1507 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4067 loss: 0.4067 2022/08/05 16:41:18 - mmengine - INFO - Epoch(train) [104][100/161] lr: 1.2128e-01 eta: 2:03:21 time: 0.4311 data_time: 0.1364 memory: 9707 grad_norm: 1.1398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3952 loss: 0.3952 2022/08/05 16:41:24 - mmengine - INFO - Epoch(train) [104][120/161] lr: 1.2113e-01 eta: 2:03:14 time: 0.3179 data_time: 0.0442 memory: 9707 grad_norm: 1.1327 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3223 loss: 0.3223 2022/08/05 16:41:30 - mmengine - INFO - Epoch(train) [104][140/161] lr: 1.2097e-01 eta: 2:03:06 time: 0.3201 data_time: 0.0425 memory: 9707 grad_norm: 1.1110 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.3448 loss: 0.3448 2022/08/05 16:41:36 - mmengine - INFO - Epoch(train) [104][160/161] lr: 1.2081e-01 eta: 2:02:59 time: 0.2928 data_time: 0.0369 memory: 9707 grad_norm: 1.1264 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3735 loss: 0.3735 2022/08/05 16:41:36 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:41:36 - mmengine - INFO - Epoch(train) [104][161/161] lr: 1.2080e-01 eta: 2:02:59 time: 0.2812 data_time: 0.0337 memory: 652 grad_norm: 1.2924 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5616 loss: 0.5616 2022/08/05 16:41:46 - mmengine - INFO - Epoch(train) [105][20/161] lr: 1.2064e-01 eta: 2:02:55 time: 0.4752 data_time: 0.1354 memory: 9707 grad_norm: 1.0482 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3654 loss: 0.3654 2022/08/05 16:41:52 - mmengine - INFO - Epoch(train) [105][40/161] lr: 1.2048e-01 eta: 2:02:47 time: 0.3176 data_time: 0.0424 memory: 9707 grad_norm: 1.0639 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3233 loss: 0.3233 2022/08/05 16:41:59 - mmengine - INFO - Epoch(train) [105][60/161] lr: 1.2032e-01 eta: 2:02:40 time: 0.3178 data_time: 0.0416 memory: 9707 grad_norm: 1.0694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3532 loss: 0.3532 2022/08/05 16:42:05 - mmengine - INFO - Epoch(train) [105][80/161] lr: 1.2016e-01 eta: 2:02:33 time: 0.3184 data_time: 0.0419 memory: 9707 grad_norm: 0.9979 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2720 loss: 0.2720 2022/08/05 16:42:11 - mmengine - INFO - Epoch(train) [105][100/161] lr: 1.2000e-01 eta: 2:02:26 time: 0.3233 data_time: 0.0426 memory: 9707 grad_norm: 1.0546 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2617 loss: 0.2617 2022/08/05 16:42:18 - mmengine - INFO - Epoch(train) [105][120/161] lr: 1.1984e-01 eta: 2:02:19 time: 0.3179 data_time: 0.0435 memory: 9707 grad_norm: 1.1523 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2623 loss: 0.2623 2022/08/05 16:42:24 - mmengine - INFO - Epoch(train) [105][140/161] lr: 1.1968e-01 eta: 2:02:11 time: 0.3208 data_time: 0.0392 memory: 9707 grad_norm: 1.1356 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2709 loss: 0.2709 2022/08/05 16:42:30 - mmengine - INFO - Epoch(train) [105][160/161] lr: 1.1952e-01 eta: 2:02:04 time: 0.2959 data_time: 0.0419 memory: 9707 grad_norm: 1.1494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2620 loss: 0.2620 2022/08/05 16:42:30 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:42:30 - mmengine - INFO - Epoch(train) [105][161/161] lr: 1.1952e-01 eta: 2:02:04 time: 0.2830 data_time: 0.0391 memory: 652 grad_norm: 1.2824 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5259 loss: 0.5259 2022/08/05 16:42:40 - mmengine - INFO - Epoch(train) [106][20/161] lr: 1.1936e-01 eta: 2:01:59 time: 0.4674 data_time: 0.1391 memory: 9707 grad_norm: 1.1328 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3284 loss: 0.3284 2022/08/05 16:42:46 - mmengine - INFO - Epoch(train) [106][40/161] lr: 1.1920e-01 eta: 2:01:52 time: 0.3193 data_time: 0.0464 memory: 9707 grad_norm: 1.0479 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3049 loss: 0.3049 2022/08/05 16:42:52 - mmengine - INFO - Epoch(train) [106][60/161] lr: 1.1904e-01 eta: 2:01:45 time: 0.3218 data_time: 0.0470 memory: 9707 grad_norm: 1.1656 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2847 loss: 0.2847 2022/08/05 16:42:59 - mmengine - INFO - Epoch(train) [106][80/161] lr: 1.1888e-01 eta: 2:01:38 time: 0.3221 data_time: 0.0441 memory: 9707 grad_norm: 1.2630 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3658 loss: 0.3658 2022/08/05 16:43:04 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:43:05 - mmengine - INFO - Epoch(train) [106][100/161] lr: 1.1872e-01 eta: 2:01:31 time: 0.3235 data_time: 0.0440 memory: 9707 grad_norm: 1.2177 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4081 loss: 0.4081 2022/08/05 16:43:12 - mmengine - INFO - Epoch(train) [106][120/161] lr: 1.1856e-01 eta: 2:01:24 time: 0.3224 data_time: 0.0443 memory: 9707 grad_norm: 1.1260 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3928 loss: 0.3928 2022/08/05 16:43:18 - mmengine - INFO - Epoch(train) [106][140/161] lr: 1.1840e-01 eta: 2:01:17 time: 0.3162 data_time: 0.0441 memory: 9707 grad_norm: 1.0717 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3323 loss: 0.3323 2022/08/05 16:43:24 - mmengine - INFO - Epoch(train) [106][160/161] lr: 1.1824e-01 eta: 2:01:09 time: 0.2973 data_time: 0.0371 memory: 9707 grad_norm: 1.1068 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3426 loss: 0.3426 2022/08/05 16:43:24 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:43:24 - mmengine - INFO - Epoch(train) [106][161/161] lr: 1.1823e-01 eta: 2:01:09 time: 0.2855 data_time: 0.0368 memory: 652 grad_norm: 1.2569 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.4892 loss: 0.4892 2022/08/05 16:43:34 - mmengine - INFO - Epoch(train) [107][20/161] lr: 1.1807e-01 eta: 2:01:05 time: 0.4729 data_time: 0.1383 memory: 9707 grad_norm: 1.0490 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3152 loss: 0.3152 2022/08/05 16:43:40 - mmengine - INFO - Epoch(train) [107][40/161] lr: 1.1791e-01 eta: 2:00:58 time: 0.3279 data_time: 0.0466 memory: 9707 grad_norm: 1.1027 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3146 loss: 0.3146 2022/08/05 16:43:47 - mmengine - INFO - Epoch(train) [107][60/161] lr: 1.1775e-01 eta: 2:00:51 time: 0.3199 data_time: 0.0420 memory: 9707 grad_norm: 1.0434 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.3216 loss: 0.3216 2022/08/05 16:43:53 - mmengine - INFO - Epoch(train) [107][80/161] lr: 1.1759e-01 eta: 2:00:44 time: 0.3302 data_time: 0.0460 memory: 9707 grad_norm: 1.1461 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3444 loss: 0.3444 2022/08/05 16:44:00 - mmengine - INFO - Epoch(train) [107][100/161] lr: 1.1743e-01 eta: 2:00:37 time: 0.3222 data_time: 0.0445 memory: 9707 grad_norm: 1.0980 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2857 loss: 0.2857 2022/08/05 16:44:06 - mmengine - INFO - Epoch(train) [107][120/161] lr: 1.1727e-01 eta: 2:00:30 time: 0.3277 data_time: 0.0468 memory: 9707 grad_norm: 1.0837 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3422 loss: 0.3422 2022/08/05 16:44:13 - mmengine - INFO - Epoch(train) [107][140/161] lr: 1.1711e-01 eta: 2:00:22 time: 0.3201 data_time: 0.0430 memory: 9707 grad_norm: 1.0385 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3045 loss: 0.3045 2022/08/05 16:44:19 - mmengine - INFO - Epoch(train) [107][160/161] lr: 1.1695e-01 eta: 2:00:15 time: 0.2972 data_time: 0.0425 memory: 9707 grad_norm: 1.1191 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2968 loss: 0.2968 2022/08/05 16:44:19 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:44:19 - mmengine - INFO - Epoch(train) [107][161/161] lr: 1.1694e-01 eta: 2:00:15 time: 0.2852 data_time: 0.0391 memory: 652 grad_norm: 1.2729 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4550 loss: 0.4550 2022/08/05 16:44:28 - mmengine - INFO - Epoch(train) [108][20/161] lr: 1.1678e-01 eta: 2:00:11 time: 0.4707 data_time: 0.1496 memory: 9707 grad_norm: 1.1616 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3654 loss: 0.3654 2022/08/05 16:44:34 - mmengine - INFO - Epoch(train) [108][40/161] lr: 1.1662e-01 eta: 2:00:03 time: 0.3191 data_time: 0.0489 memory: 9707 grad_norm: 1.0066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2776 loss: 0.2776 2022/08/05 16:44:41 - mmengine - INFO - Epoch(train) [108][60/161] lr: 1.1646e-01 eta: 1:59:56 time: 0.3270 data_time: 0.0451 memory: 9707 grad_norm: 1.0658 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2624 loss: 0.2624 2022/08/05 16:44:47 - mmengine - INFO - Epoch(train) [108][80/161] lr: 1.1630e-01 eta: 1:59:49 time: 0.3156 data_time: 0.0433 memory: 9707 grad_norm: 1.0596 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3098 loss: 0.3098 2022/08/05 16:44:54 - mmengine - INFO - Epoch(train) [108][100/161] lr: 1.1614e-01 eta: 1:59:42 time: 0.3206 data_time: 0.0387 memory: 9707 grad_norm: 1.1463 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2815 loss: 0.2815 2022/08/05 16:45:00 - mmengine - INFO - Epoch(train) [108][120/161] lr: 1.1598e-01 eta: 1:59:35 time: 0.3292 data_time: 0.0483 memory: 9707 grad_norm: 1.1686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3250 loss: 0.3250 2022/08/05 16:45:07 - mmengine - INFO - Epoch(train) [108][140/161] lr: 1.1582e-01 eta: 1:59:28 time: 0.3139 data_time: 0.0399 memory: 9707 grad_norm: 1.1490 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3183 loss: 0.3183 2022/08/05 16:45:13 - mmengine - INFO - Epoch(train) [108][160/161] lr: 1.1566e-01 eta: 1:59:20 time: 0.2957 data_time: 0.0397 memory: 9707 grad_norm: 1.0615 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2447 loss: 0.2447 2022/08/05 16:45:13 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:45:13 - mmengine - INFO - Epoch(train) [108][161/161] lr: 1.1565e-01 eta: 1:59:20 time: 0.2822 data_time: 0.0358 memory: 652 grad_norm: 1.2210 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4251 loss: 0.4251 2022/08/05 16:45:22 - mmengine - INFO - Epoch(train) [109][20/161] lr: 1.1549e-01 eta: 1:59:16 time: 0.4843 data_time: 0.1348 memory: 9707 grad_norm: 1.0239 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2484 loss: 0.2484 2022/08/05 16:45:29 - mmengine - INFO - Epoch(train) [109][40/161] lr: 1.1533e-01 eta: 1:59:09 time: 0.3134 data_time: 0.0406 memory: 9707 grad_norm: 1.0956 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3235 loss: 0.3235 2022/08/05 16:45:35 - mmengine - INFO - Epoch(train) [109][60/161] lr: 1.1517e-01 eta: 1:59:02 time: 0.3198 data_time: 0.0394 memory: 9707 grad_norm: 1.0351 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2988 loss: 0.2988 2022/08/05 16:45:41 - mmengine - INFO - Epoch(train) [109][80/161] lr: 1.1501e-01 eta: 1:58:54 time: 0.3215 data_time: 0.0403 memory: 9707 grad_norm: 1.1354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2467 loss: 0.2467 2022/08/05 16:45:48 - mmengine - INFO - Epoch(train) [109][100/161] lr: 1.1485e-01 eta: 1:58:47 time: 0.3148 data_time: 0.0413 memory: 9707 grad_norm: 1.2372 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3102 loss: 0.3102 2022/08/05 16:45:54 - mmengine - INFO - Epoch(train) [109][120/161] lr: 1.1469e-01 eta: 1:58:40 time: 0.3214 data_time: 0.0434 memory: 9707 grad_norm: 1.1067 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2695 loss: 0.2695 2022/08/05 16:46:01 - mmengine - INFO - Epoch(train) [109][140/161] lr: 1.1453e-01 eta: 1:58:33 time: 0.3325 data_time: 0.0434 memory: 9707 grad_norm: 1.1853 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3151 loss: 0.3151 2022/08/05 16:46:07 - mmengine - INFO - Epoch(train) [109][160/161] lr: 1.1437e-01 eta: 1:58:25 time: 0.2945 data_time: 0.0405 memory: 9707 grad_norm: 1.1465 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3386 loss: 0.3386 2022/08/05 16:46:07 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:46:07 - mmengine - INFO - Epoch(train) [109][161/161] lr: 1.1436e-01 eta: 1:58:25 time: 0.2811 data_time: 0.0363 memory: 652 grad_norm: 1.3442 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.4963 loss: 0.4963 2022/08/05 16:46:16 - mmengine - INFO - Epoch(train) [110][20/161] lr: 1.1420e-01 eta: 1:58:21 time: 0.4737 data_time: 0.1458 memory: 9707 grad_norm: 1.2032 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4529 loss: 0.4529 2022/08/05 16:46:23 - mmengine - INFO - Epoch(train) [110][40/161] lr: 1.1404e-01 eta: 1:58:14 time: 0.3242 data_time: 0.0449 memory: 9707 grad_norm: 1.0923 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3353 loss: 0.3353 2022/08/05 16:46:29 - mmengine - INFO - Epoch(train) [110][60/161] lr: 1.1387e-01 eta: 1:58:07 time: 0.3167 data_time: 0.0402 memory: 9707 grad_norm: 1.0401 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2669 loss: 0.2669 2022/08/05 16:46:36 - mmengine - INFO - Epoch(train) [110][80/161] lr: 1.1371e-01 eta: 1:58:00 time: 0.3213 data_time: 0.0440 memory: 9707 grad_norm: 1.0524 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3398 loss: 0.3398 2022/08/05 16:46:42 - mmengine - INFO - Epoch(train) [110][100/161] lr: 1.1355e-01 eta: 1:57:53 time: 0.3158 data_time: 0.0405 memory: 9707 grad_norm: 1.0638 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2195 loss: 0.2195 2022/08/05 16:46:48 - mmengine - INFO - Epoch(train) [110][120/161] lr: 1.1339e-01 eta: 1:57:45 time: 0.3184 data_time: 0.0421 memory: 9707 grad_norm: 0.9768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3021 loss: 0.3021 2022/08/05 16:46:55 - mmengine - INFO - Epoch(train) [110][140/161] lr: 1.1323e-01 eta: 1:57:39 time: 0.3279 data_time: 0.0409 memory: 9707 grad_norm: 1.1573 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2911 loss: 0.2911 2022/08/05 16:47:01 - mmengine - INFO - Epoch(train) [110][160/161] lr: 1.1307e-01 eta: 1:57:31 time: 0.2928 data_time: 0.0396 memory: 9707 grad_norm: 1.0371 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2997 loss: 0.2997 2022/08/05 16:47:01 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:47:01 - mmengine - INFO - Epoch(train) [110][161/161] lr: 1.1306e-01 eta: 1:57:31 time: 0.2805 data_time: 0.0367 memory: 652 grad_norm: 1.1862 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5168 loss: 0.5168 2022/08/05 16:47:01 - mmengine - INFO - Saving checkpoint at 110 epochs 2022/08/05 16:47:12 - mmengine - INFO - Epoch(val) [110][20/67] eta: 0:00:19 time: 0.4139 data_time: 0.2317 memory: 1868 2022/08/05 16:47:18 - mmengine - INFO - Epoch(val) [110][40/67] eta: 0:00:07 time: 0.2922 data_time: 0.1098 memory: 1868 2022/08/05 16:47:22 - mmengine - INFO - Epoch(val) [110][60/67] eta: 0:00:01 time: 0.2206 data_time: 0.0734 memory: 1868 2022/08/05 16:47:23 - mmengine - INFO - Epoch(val) [110][67/67] acc/top1: 0.8702 acc/top5: 0.9931 acc/mean1: 0.8102 2022/08/05 16:47:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_gym_limb/best_acc/top1_epoch_101.pth is removed 2022/08/05 16:47:26 - mmengine - INFO - The best checkpoint with 0.8702 acc/top1 at 111 epoch is saved to best_acc/top1_epoch_111.pth. 2022/08/05 16:47:35 - mmengine - INFO - Epoch(train) [111][20/161] lr: 1.1290e-01 eta: 1:57:25 time: 0.4198 data_time: 0.1484 memory: 9707 grad_norm: 1.0923 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2975 loss: 0.2975 2022/08/05 16:47:41 - mmengine - INFO - Epoch(train) [111][40/161] lr: 1.1274e-01 eta: 1:57:18 time: 0.3348 data_time: 0.0453 memory: 9707 grad_norm: 1.1598 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2539 loss: 0.2539 2022/08/05 16:47:48 - mmengine - INFO - Epoch(train) [111][60/161] lr: 1.1258e-01 eta: 1:57:11 time: 0.3181 data_time: 0.0414 memory: 9707 grad_norm: 1.1481 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2387 loss: 0.2387 2022/08/05 16:47:54 - mmengine - INFO - Epoch(train) [111][80/161] lr: 1.1242e-01 eta: 1:57:04 time: 0.3238 data_time: 0.0433 memory: 9707 grad_norm: 1.1964 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3215 loss: 0.3215 2022/08/05 16:48:01 - mmengine - INFO - Epoch(train) [111][100/161] lr: 1.1225e-01 eta: 1:56:57 time: 0.3299 data_time: 0.0408 memory: 9707 grad_norm: 1.1661 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4149 loss: 0.4149 2022/08/05 16:48:07 - mmengine - INFO - Epoch(train) [111][120/161] lr: 1.1209e-01 eta: 1:56:50 time: 0.3150 data_time: 0.0414 memory: 9707 grad_norm: 1.2043 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2895 loss: 0.2895 2022/08/05 16:48:13 - mmengine - INFO - Epoch(train) [111][140/161] lr: 1.1193e-01 eta: 1:56:43 time: 0.3137 data_time: 0.0373 memory: 9707 grad_norm: 1.0861 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2814 loss: 0.2814 2022/08/05 16:48:19 - mmengine - INFO - Epoch(train) [111][160/161] lr: 1.1177e-01 eta: 1:56:35 time: 0.2968 data_time: 0.0409 memory: 9707 grad_norm: 1.0686 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3562 loss: 0.3562 2022/08/05 16:48:19 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:48:19 - mmengine - INFO - Epoch(train) [111][161/161] lr: 1.1176e-01 eta: 1:56:35 time: 0.2836 data_time: 0.0376 memory: 652 grad_norm: 1.2410 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5270 loss: 0.5270 2022/08/05 16:48:29 - mmengine - INFO - Epoch(train) [112][20/161] lr: 1.1160e-01 eta: 1:56:31 time: 0.4706 data_time: 0.1639 memory: 9707 grad_norm: 1.1217 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3308 loss: 0.3308 2022/08/05 16:48:35 - mmengine - INFO - Epoch(train) [112][40/161] lr: 1.1144e-01 eta: 1:56:24 time: 0.3195 data_time: 0.0395 memory: 9707 grad_norm: 1.0910 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3915 loss: 0.3915 2022/08/05 16:48:41 - mmengine - INFO - Epoch(train) [112][60/161] lr: 1.1128e-01 eta: 1:56:16 time: 0.3200 data_time: 0.0422 memory: 9707 grad_norm: 1.1856 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3224 loss: 0.3224 2022/08/05 16:48:48 - mmengine - INFO - Epoch(train) [112][80/161] lr: 1.1112e-01 eta: 1:56:09 time: 0.3174 data_time: 0.0425 memory: 9707 grad_norm: 1.1290 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2734 loss: 0.2734 2022/08/05 16:48:54 - mmengine - INFO - Epoch(train) [112][100/161] lr: 1.1095e-01 eta: 1:56:02 time: 0.3186 data_time: 0.0392 memory: 9707 grad_norm: 1.1421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2935 loss: 0.2935 2022/08/05 16:49:01 - mmengine - INFO - Epoch(train) [112][120/161] lr: 1.1079e-01 eta: 1:55:55 time: 0.3274 data_time: 0.0412 memory: 9707 grad_norm: 1.2151 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2996 loss: 0.2996 2022/08/05 16:49:04 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:49:07 - mmengine - INFO - Epoch(train) [112][140/161] lr: 1.1063e-01 eta: 1:55:48 time: 0.3206 data_time: 0.0418 memory: 9707 grad_norm: 1.1997 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3414 loss: 0.3414 2022/08/05 16:49:13 - mmengine - INFO - Epoch(train) [112][160/161] lr: 1.1047e-01 eta: 1:55:40 time: 0.2976 data_time: 0.0412 memory: 9707 grad_norm: 1.0930 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2300 loss: 0.2300 2022/08/05 16:49:13 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:49:13 - mmengine - INFO - Epoch(train) [112][161/161] lr: 1.1046e-01 eta: 1:55:40 time: 0.2857 data_time: 0.0391 memory: 652 grad_norm: 1.2226 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3404 loss: 0.3404 2022/08/05 16:49:23 - mmengine - INFO - Epoch(train) [113][20/161] lr: 1.1030e-01 eta: 1:55:36 time: 0.4698 data_time: 0.1493 memory: 9707 grad_norm: 1.1286 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3252 loss: 0.3252 2022/08/05 16:49:29 - mmengine - INFO - Epoch(train) [113][40/161] lr: 1.1014e-01 eta: 1:55:29 time: 0.3130 data_time: 0.0407 memory: 9707 grad_norm: 1.0965 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3810 loss: 0.3810 2022/08/05 16:49:35 - mmengine - INFO - Epoch(train) [113][60/161] lr: 1.0998e-01 eta: 1:55:21 time: 0.3156 data_time: 0.0429 memory: 9707 grad_norm: 1.1280 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3487 loss: 0.3487 2022/08/05 16:49:41 - mmengine - INFO - Epoch(train) [113][80/161] lr: 1.0981e-01 eta: 1:55:14 time: 0.3142 data_time: 0.0401 memory: 9707 grad_norm: 1.0620 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3289 loss: 0.3289 2022/08/05 16:49:48 - mmengine - INFO - Epoch(train) [113][100/161] lr: 1.0965e-01 eta: 1:55:07 time: 0.3166 data_time: 0.0407 memory: 9707 grad_norm: 1.1261 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3583 loss: 0.3583 2022/08/05 16:49:54 - mmengine - INFO - Epoch(train) [113][120/161] lr: 1.0949e-01 eta: 1:55:00 time: 0.3171 data_time: 0.0425 memory: 9707 grad_norm: 1.0636 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3321 loss: 0.3321 2022/08/05 16:50:00 - mmengine - INFO - Epoch(train) [113][140/161] lr: 1.0933e-01 eta: 1:54:53 time: 0.3156 data_time: 0.0397 memory: 9707 grad_norm: 1.2285 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2635 loss: 0.2635 2022/08/05 16:50:06 - mmengine - INFO - Epoch(train) [113][160/161] lr: 1.0917e-01 eta: 1:54:45 time: 0.2896 data_time: 0.0379 memory: 9707 grad_norm: 1.1288 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2403 loss: 0.2403 2022/08/05 16:50:06 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:50:06 - mmengine - INFO - Epoch(train) [113][161/161] lr: 1.0916e-01 eta: 1:54:45 time: 0.2777 data_time: 0.0356 memory: 652 grad_norm: 1.2985 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5361 loss: 0.5361 2022/08/05 16:50:16 - mmengine - INFO - Epoch(train) [114][20/161] lr: 1.0900e-01 eta: 1:54:40 time: 0.4647 data_time: 0.1534 memory: 9707 grad_norm: 1.1993 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3743 loss: 0.3743 2022/08/05 16:50:22 - mmengine - INFO - Epoch(train) [114][40/161] lr: 1.0883e-01 eta: 1:54:33 time: 0.3281 data_time: 0.0457 memory: 9707 grad_norm: 1.0491 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2977 loss: 0.2977 2022/08/05 16:50:29 - mmengine - INFO - Epoch(train) [114][60/161] lr: 1.0867e-01 eta: 1:54:26 time: 0.3157 data_time: 0.0392 memory: 9707 grad_norm: 1.0737 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2522 loss: 0.2522 2022/08/05 16:50:35 - mmengine - INFO - Epoch(train) [114][80/161] lr: 1.0851e-01 eta: 1:54:19 time: 0.3160 data_time: 0.0421 memory: 9707 grad_norm: 1.2306 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3817 loss: 0.3817 2022/08/05 16:50:41 - mmengine - INFO - Epoch(train) [114][100/161] lr: 1.0835e-01 eta: 1:54:12 time: 0.3194 data_time: 0.0384 memory: 9707 grad_norm: 1.2450 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3063 loss: 0.3063 2022/08/05 16:50:48 - mmengine - INFO - Epoch(train) [114][120/161] lr: 1.0819e-01 eta: 1:54:05 time: 0.3154 data_time: 0.0403 memory: 9707 grad_norm: 1.1441 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3032 loss: 0.3032 2022/08/05 16:50:54 - mmengine - INFO - Epoch(train) [114][140/161] lr: 1.0802e-01 eta: 1:53:57 time: 0.3179 data_time: 0.0383 memory: 9707 grad_norm: 1.2563 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2814 loss: 0.2814 2022/08/05 16:51:00 - mmengine - INFO - Epoch(train) [114][160/161] lr: 1.0786e-01 eta: 1:53:50 time: 0.2934 data_time: 0.0397 memory: 9707 grad_norm: 1.1322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3181 loss: 0.3181 2022/08/05 16:51:00 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:51:00 - mmengine - INFO - Epoch(train) [114][161/161] lr: 1.0785e-01 eta: 1:53:50 time: 0.2823 data_time: 0.0388 memory: 652 grad_norm: 1.2856 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4704 loss: 0.4704 2022/08/05 16:51:09 - mmengine - INFO - Epoch(train) [115][20/161] lr: 1.0769e-01 eta: 1:53:45 time: 0.4655 data_time: 0.1416 memory: 9707 grad_norm: 1.0707 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3070 loss: 0.3070 2022/08/05 16:51:16 - mmengine - INFO - Epoch(train) [115][40/161] lr: 1.0753e-01 eta: 1:53:38 time: 0.3218 data_time: 0.0411 memory: 9707 grad_norm: 1.0737 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3273 loss: 0.3273 2022/08/05 16:51:22 - mmengine - INFO - Epoch(train) [115][60/161] lr: 1.0737e-01 eta: 1:53:31 time: 0.3153 data_time: 0.0395 memory: 9707 grad_norm: 1.0641 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2197 loss: 0.2197 2022/08/05 16:51:28 - mmengine - INFO - Epoch(train) [115][80/161] lr: 1.0721e-01 eta: 1:53:24 time: 0.3158 data_time: 0.0435 memory: 9707 grad_norm: 1.0672 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3644 loss: 0.3644 2022/08/05 16:51:35 - mmengine - INFO - Epoch(train) [115][100/161] lr: 1.0704e-01 eta: 1:53:17 time: 0.3191 data_time: 0.0446 memory: 9707 grad_norm: 1.1076 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2642 loss: 0.2642 2022/08/05 16:51:41 - mmengine - INFO - Epoch(train) [115][120/161] lr: 1.0688e-01 eta: 1:53:09 time: 0.3166 data_time: 0.0433 memory: 9707 grad_norm: 1.0131 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2766 loss: 0.2766 2022/08/05 16:51:47 - mmengine - INFO - Epoch(train) [115][140/161] lr: 1.0672e-01 eta: 1:53:02 time: 0.3141 data_time: 0.0389 memory: 9707 grad_norm: 1.0880 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1775 loss: 0.1775 2022/08/05 16:51:53 - mmengine - INFO - Epoch(train) [115][160/161] lr: 1.0656e-01 eta: 1:52:55 time: 0.2985 data_time: 0.0385 memory: 9707 grad_norm: 1.1880 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3007 loss: 0.3007 2022/08/05 16:51:53 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:51:53 - mmengine - INFO - Epoch(train) [115][161/161] lr: 1.0655e-01 eta: 1:52:55 time: 0.2875 data_time: 0.0372 memory: 652 grad_norm: 1.3162 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3756 loss: 0.3756 2022/08/05 16:52:03 - mmengine - INFO - Epoch(train) [116][20/161] lr: 1.0639e-01 eta: 1:52:50 time: 0.4759 data_time: 0.1473 memory: 9707 grad_norm: 1.1504 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2538 loss: 0.2538 2022/08/05 16:52:09 - mmengine - INFO - Epoch(train) [116][40/161] lr: 1.0622e-01 eta: 1:52:43 time: 0.3161 data_time: 0.0436 memory: 9707 grad_norm: 1.1073 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2599 loss: 0.2599 2022/08/05 16:52:16 - mmengine - INFO - Epoch(train) [116][60/161] lr: 1.0606e-01 eta: 1:52:36 time: 0.3268 data_time: 0.0438 memory: 9707 grad_norm: 1.0696 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2764 loss: 0.2764 2022/08/05 16:52:22 - mmengine - INFO - Epoch(train) [116][80/161] lr: 1.0590e-01 eta: 1:52:29 time: 0.3161 data_time: 0.0427 memory: 9707 grad_norm: 1.1222 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2724 loss: 0.2724 2022/08/05 16:52:28 - mmengine - INFO - Epoch(train) [116][100/161] lr: 1.0574e-01 eta: 1:52:22 time: 0.3160 data_time: 0.0412 memory: 9707 grad_norm: 1.1508 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3188 loss: 0.3188 2022/08/05 16:52:35 - mmengine - INFO - Epoch(train) [116][120/161] lr: 1.0557e-01 eta: 1:52:15 time: 0.3218 data_time: 0.0444 memory: 9707 grad_norm: 1.1841 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2844 loss: 0.2844 2022/08/05 16:52:41 - mmengine - INFO - Epoch(train) [116][140/161] lr: 1.0541e-01 eta: 1:52:07 time: 0.3141 data_time: 0.0407 memory: 9707 grad_norm: 1.1322 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2404 loss: 0.2404 2022/08/05 16:52:47 - mmengine - INFO - Epoch(train) [116][160/161] lr: 1.0525e-01 eta: 1:52:00 time: 0.2929 data_time: 0.0379 memory: 9707 grad_norm: 1.2296 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2616 loss: 0.2616 2022/08/05 16:52:47 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:52:47 - mmengine - INFO - Epoch(train) [116][161/161] lr: 1.0524e-01 eta: 1:52:00 time: 0.2804 data_time: 0.0356 memory: 652 grad_norm: 1.3603 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3709 loss: 0.3709 2022/08/05 16:52:56 - mmengine - INFO - Epoch(train) [117][20/161] lr: 1.0508e-01 eta: 1:51:55 time: 0.4645 data_time: 0.1509 memory: 9707 grad_norm: 1.1272 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2813 loss: 0.2813 2022/08/05 16:53:03 - mmengine - INFO - Epoch(train) [117][40/161] lr: 1.0492e-01 eta: 1:51:48 time: 0.3171 data_time: 0.0417 memory: 9707 grad_norm: 1.1492 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3443 loss: 0.3443 2022/08/05 16:53:09 - mmengine - INFO - Epoch(train) [117][60/161] lr: 1.0475e-01 eta: 1:51:41 time: 0.3155 data_time: 0.0418 memory: 9707 grad_norm: 1.0789 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3098 loss: 0.3098 2022/08/05 16:53:16 - mmengine - INFO - Epoch(train) [117][80/161] lr: 1.0459e-01 eta: 1:51:34 time: 0.3234 data_time: 0.0433 memory: 9707 grad_norm: 1.1573 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.3229 loss: 0.3229 2022/08/05 16:53:22 - mmengine - INFO - Epoch(train) [117][100/161] lr: 1.0443e-01 eta: 1:51:27 time: 0.3164 data_time: 0.0416 memory: 9707 grad_norm: 1.1841 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.3266 loss: 0.3266 2022/08/05 16:53:28 - mmengine - INFO - Epoch(train) [117][120/161] lr: 1.0427e-01 eta: 1:51:19 time: 0.3174 data_time: 0.0436 memory: 9707 grad_norm: 1.1101 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2362 loss: 0.2362 2022/08/05 16:53:35 - mmengine - INFO - Epoch(train) [117][140/161] lr: 1.0410e-01 eta: 1:51:12 time: 0.3230 data_time: 0.0447 memory: 9707 grad_norm: 1.1085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3029 loss: 0.3029 2022/08/05 16:53:41 - mmengine - INFO - Epoch(train) [117][160/161] lr: 1.0394e-01 eta: 1:51:05 time: 0.2926 data_time: 0.0399 memory: 9707 grad_norm: 1.1056 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3792 loss: 0.3792 2022/08/05 16:53:41 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:53:41 - mmengine - INFO - Epoch(train) [117][161/161] lr: 1.0393e-01 eta: 1:51:05 time: 0.2799 data_time: 0.0368 memory: 652 grad_norm: 1.2895 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5817 loss: 0.5817 2022/08/05 16:53:50 - mmengine - INFO - Epoch(train) [118][20/161] lr: 1.0377e-01 eta: 1:51:00 time: 0.4677 data_time: 0.1433 memory: 9707 grad_norm: 1.1934 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3659 loss: 0.3659 2022/08/05 16:53:56 - mmengine - INFO - Epoch(train) [118][40/161] lr: 1.0361e-01 eta: 1:50:53 time: 0.3182 data_time: 0.0435 memory: 9707 grad_norm: 1.0523 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2960 loss: 0.2960 2022/08/05 16:54:03 - mmengine - INFO - Epoch(train) [118][60/161] lr: 1.0345e-01 eta: 1:50:46 time: 0.3213 data_time: 0.0396 memory: 9707 grad_norm: 1.0808 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2644 loss: 0.2644 2022/08/05 16:54:09 - mmengine - INFO - Epoch(train) [118][80/161] lr: 1.0328e-01 eta: 1:50:39 time: 0.3164 data_time: 0.0414 memory: 9707 grad_norm: 1.0749 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2343 loss: 0.2343 2022/08/05 16:54:15 - mmengine - INFO - Epoch(train) [118][100/161] lr: 1.0312e-01 eta: 1:50:32 time: 0.3167 data_time: 0.0411 memory: 9707 grad_norm: 1.2595 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2847 loss: 0.2847 2022/08/05 16:54:22 - mmengine - INFO - Epoch(train) [118][120/161] lr: 1.0296e-01 eta: 1:50:25 time: 0.3368 data_time: 0.0420 memory: 9707 grad_norm: 1.1416 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3775 loss: 0.3775 2022/08/05 16:54:28 - mmengine - INFO - Epoch(train) [118][140/161] lr: 1.0280e-01 eta: 1:50:18 time: 0.3148 data_time: 0.0428 memory: 9707 grad_norm: 1.1208 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3723 loss: 0.3723 2022/08/05 16:54:34 - mmengine - INFO - Epoch(train) [118][160/161] lr: 1.0263e-01 eta: 1:50:10 time: 0.2920 data_time: 0.0372 memory: 9707 grad_norm: 1.1309 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2841 loss: 0.2841 2022/08/05 16:54:34 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:54:34 - mmengine - INFO - Epoch(train) [118][161/161] lr: 1.0263e-01 eta: 1:50:10 time: 0.2803 data_time: 0.0349 memory: 652 grad_norm: 1.3154 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5306 loss: 0.5306 2022/08/05 16:54:38 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:54:44 - mmengine - INFO - Epoch(train) [119][20/161] lr: 1.0246e-01 eta: 1:50:05 time: 0.4753 data_time: 0.1196 memory: 9707 grad_norm: 1.1926 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3027 loss: 0.3027 2022/08/05 16:54:50 - mmengine - INFO - Epoch(train) [119][40/161] lr: 1.0230e-01 eta: 1:49:58 time: 0.3157 data_time: 0.0410 memory: 9707 grad_norm: 1.0559 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2918 loss: 0.2918 2022/08/05 16:54:57 - mmengine - INFO - Epoch(train) [119][60/161] lr: 1.0214e-01 eta: 1:49:51 time: 0.3134 data_time: 0.0390 memory: 9707 grad_norm: 1.0847 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2319 loss: 0.2319 2022/08/05 16:55:03 - mmengine - INFO - Epoch(train) [119][80/161] lr: 1.0198e-01 eta: 1:49:44 time: 0.3226 data_time: 0.0432 memory: 9707 grad_norm: 1.1242 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3121 loss: 0.3121 2022/08/05 16:55:09 - mmengine - INFO - Epoch(train) [119][100/161] lr: 1.0181e-01 eta: 1:49:37 time: 0.3144 data_time: 0.0420 memory: 9707 grad_norm: 1.2157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3300 loss: 0.3300 2022/08/05 16:55:16 - mmengine - INFO - Epoch(train) [119][120/161] lr: 1.0165e-01 eta: 1:49:30 time: 0.3162 data_time: 0.0414 memory: 9707 grad_norm: 1.2754 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3181 loss: 0.3181 2022/08/05 16:55:22 - mmengine - INFO - Epoch(train) [119][140/161] lr: 1.0149e-01 eta: 1:49:23 time: 0.3190 data_time: 0.0420 memory: 9707 grad_norm: 1.2200 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3036 loss: 0.3036 2022/08/05 16:55:28 - mmengine - INFO - Epoch(train) [119][160/161] lr: 1.0133e-01 eta: 1:49:15 time: 0.2927 data_time: 0.0375 memory: 9707 grad_norm: 1.1192 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2627 loss: 0.2627 2022/08/05 16:55:28 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:55:28 - mmengine - INFO - Epoch(train) [119][161/161] lr: 1.0132e-01 eta: 1:49:15 time: 0.2801 data_time: 0.0341 memory: 652 grad_norm: 1.3035 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.3977 loss: 0.3977 2022/08/05 16:55:37 - mmengine - INFO - Epoch(train) [120][20/161] lr: 1.0115e-01 eta: 1:49:10 time: 0.4681 data_time: 0.1307 memory: 9707 grad_norm: 1.1515 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3604 loss: 0.3604 2022/08/05 16:55:44 - mmengine - INFO - Epoch(train) [120][40/161] lr: 1.0099e-01 eta: 1:49:03 time: 0.3317 data_time: 0.0414 memory: 9707 grad_norm: 1.1318 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2919 loss: 0.2919 2022/08/05 16:55:50 - mmengine - INFO - Epoch(train) [120][60/161] lr: 1.0083e-01 eta: 1:48:56 time: 0.3126 data_time: 0.0413 memory: 9707 grad_norm: 1.0350 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2805 loss: 0.2805 2022/08/05 16:55:57 - mmengine - INFO - Epoch(train) [120][80/161] lr: 1.0067e-01 eta: 1:48:49 time: 0.3187 data_time: 0.0427 memory: 9707 grad_norm: 1.1703 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2771 loss: 0.2771 2022/08/05 16:56:03 - mmengine - INFO - Epoch(train) [120][100/161] lr: 1.0050e-01 eta: 1:48:43 time: 0.3428 data_time: 0.0394 memory: 9707 grad_norm: 1.2401 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3328 loss: 0.3328 2022/08/05 16:56:10 - mmengine - INFO - Epoch(train) [120][120/161] lr: 1.0034e-01 eta: 1:48:35 time: 0.3198 data_time: 0.0461 memory: 9707 grad_norm: 1.1853 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3411 loss: 0.3411 2022/08/05 16:56:16 - mmengine - INFO - Epoch(train) [120][140/161] lr: 1.0018e-01 eta: 1:48:28 time: 0.3130 data_time: 0.0382 memory: 9707 grad_norm: 1.2455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2908 loss: 0.2908 2022/08/05 16:56:22 - mmengine - INFO - Epoch(train) [120][160/161] lr: 1.0002e-01 eta: 1:48:21 time: 0.2969 data_time: 0.0378 memory: 9707 grad_norm: 1.1587 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3001 loss: 0.3001 2022/08/05 16:56:22 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:56:22 - mmengine - INFO - Epoch(train) [120][161/161] lr: 1.0001e-01 eta: 1:48:21 time: 0.2865 data_time: 0.0364 memory: 652 grad_norm: 1.3176 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5113 loss: 0.5113 2022/08/05 16:56:22 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/05 16:56:33 - mmengine - INFO - Epoch(val) [120][20/67] eta: 0:00:20 time: 0.4292 data_time: 0.2399 memory: 1868 2022/08/05 16:56:39 - mmengine - INFO - Epoch(val) [120][40/67] eta: 0:00:08 time: 0.3040 data_time: 0.1228 memory: 1868 2022/08/05 16:56:44 - mmengine - INFO - Epoch(val) [120][60/67] eta: 0:00:01 time: 0.2076 data_time: 0.0630 memory: 1868 2022/08/05 16:56:45 - mmengine - INFO - Epoch(val) [120][67/67] acc/top1: 0.8369 acc/top5: 0.9819 acc/mean1: 0.7711 2022/08/05 16:56:54 - mmengine - INFO - Epoch(train) [121][20/161] lr: 9.9846e-02 eta: 1:48:16 time: 0.4622 data_time: 0.1481 memory: 9707 grad_norm: 1.2178 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2916 loss: 0.2916 2022/08/05 16:57:01 - mmengine - INFO - Epoch(train) [121][40/161] lr: 9.9683e-02 eta: 1:48:09 time: 0.3164 data_time: 0.0386 memory: 9707 grad_norm: 1.1308 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3308 loss: 0.3308 2022/08/05 16:57:07 - mmengine - INFO - Epoch(train) [121][60/161] lr: 9.9520e-02 eta: 1:48:02 time: 0.3311 data_time: 0.0439 memory: 9707 grad_norm: 1.1406 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2695 loss: 0.2695 2022/08/05 16:57:13 - mmengine - INFO - Epoch(train) [121][80/161] lr: 9.9358e-02 eta: 1:47:55 time: 0.3137 data_time: 0.0408 memory: 9707 grad_norm: 1.2387 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3013 loss: 0.3013 2022/08/05 16:57:20 - mmengine - INFO - Epoch(train) [121][100/161] lr: 9.9195e-02 eta: 1:47:48 time: 0.3139 data_time: 0.0406 memory: 9707 grad_norm: 1.0609 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.2549 loss: 0.2549 2022/08/05 16:57:26 - mmengine - INFO - Epoch(train) [121][120/161] lr: 9.9032e-02 eta: 1:47:41 time: 0.3257 data_time: 0.0414 memory: 9707 grad_norm: 1.0891 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2844 loss: 0.2844 2022/08/05 16:57:33 - mmengine - INFO - Epoch(train) [121][140/161] lr: 9.8870e-02 eta: 1:47:33 time: 0.3170 data_time: 0.0434 memory: 9707 grad_norm: 1.1697 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2634 loss: 0.2634 2022/08/05 16:57:38 - mmengine - INFO - Epoch(train) [121][160/161] lr: 9.8707e-02 eta: 1:47:26 time: 0.2912 data_time: 0.0325 memory: 9707 grad_norm: 1.0919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2903 loss: 0.2903 2022/08/05 16:57:39 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:57:39 - mmengine - INFO - Epoch(train) [121][161/161] lr: 9.8699e-02 eta: 1:47:26 time: 0.2814 data_time: 0.0341 memory: 652 grad_norm: 1.2359 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4586 loss: 0.4586 2022/08/05 16:57:48 - mmengine - INFO - Epoch(train) [122][20/161] lr: 9.8537e-02 eta: 1:47:21 time: 0.4676 data_time: 0.1469 memory: 9707 grad_norm: 1.2744 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3508 loss: 0.3508 2022/08/05 16:57:54 - mmengine - INFO - Epoch(train) [122][40/161] lr: 9.8374e-02 eta: 1:47:14 time: 0.3169 data_time: 0.0390 memory: 9707 grad_norm: 1.0226 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2480 loss: 0.2480 2022/08/05 16:58:01 - mmengine - INFO - Epoch(train) [122][60/161] lr: 9.8211e-02 eta: 1:47:07 time: 0.3171 data_time: 0.0404 memory: 9707 grad_norm: 1.1376 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2969 loss: 0.2969 2022/08/05 16:58:07 - mmengine - INFO - Epoch(train) [122][80/161] lr: 9.8049e-02 eta: 1:47:00 time: 0.3221 data_time: 0.0425 memory: 9707 grad_norm: 1.0867 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2493 loss: 0.2493 2022/08/05 16:58:14 - mmengine - INFO - Epoch(train) [122][100/161] lr: 9.7886e-02 eta: 1:46:53 time: 0.3267 data_time: 0.0466 memory: 9707 grad_norm: 1.1318 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2444 loss: 0.2444 2022/08/05 16:58:20 - mmengine - INFO - Epoch(train) [122][120/161] lr: 9.7724e-02 eta: 1:46:46 time: 0.3121 data_time: 0.0378 memory: 9707 grad_norm: 1.1554 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.2724 loss: 0.2724 2022/08/05 16:58:26 - mmengine - INFO - Epoch(train) [122][140/161] lr: 9.7561e-02 eta: 1:46:39 time: 0.3229 data_time: 0.0458 memory: 9707 grad_norm: 1.1058 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2751 loss: 0.2751 2022/08/05 16:58:32 - mmengine - INFO - Epoch(train) [122][160/161] lr: 9.7399e-02 eta: 1:46:31 time: 0.2940 data_time: 0.0371 memory: 9707 grad_norm: 1.1280 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2936 loss: 0.2936 2022/08/05 16:58:32 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:58:32 - mmengine - INFO - Epoch(train) [122][161/161] lr: 9.7390e-02 eta: 1:46:31 time: 0.2845 data_time: 0.0387 memory: 652 grad_norm: 1.2924 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4928 loss: 0.4928 2022/08/05 16:58:42 - mmengine - INFO - Epoch(train) [123][20/161] lr: 9.7228e-02 eta: 1:46:26 time: 0.4710 data_time: 0.1451 memory: 9707 grad_norm: 1.1746 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2756 loss: 0.2756 2022/08/05 16:58:48 - mmengine - INFO - Epoch(train) [123][40/161] lr: 9.7065e-02 eta: 1:46:19 time: 0.3141 data_time: 0.0412 memory: 9707 grad_norm: 1.2452 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4263 loss: 0.4263 2022/08/05 16:58:54 - mmengine - INFO - Epoch(train) [123][60/161] lr: 9.6903e-02 eta: 1:46:12 time: 0.3222 data_time: 0.0416 memory: 9707 grad_norm: 1.1847 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3617 loss: 0.3617 2022/08/05 16:59:01 - mmengine - INFO - Epoch(train) [123][80/161] lr: 9.6740e-02 eta: 1:46:05 time: 0.3164 data_time: 0.0415 memory: 9707 grad_norm: 1.1554 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2895 loss: 0.2895 2022/08/05 16:59:07 - mmengine - INFO - Epoch(train) [123][100/161] lr: 9.6578e-02 eta: 1:45:58 time: 0.3261 data_time: 0.0452 memory: 9707 grad_norm: 1.1668 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2365 loss: 0.2365 2022/08/05 16:59:14 - mmengine - INFO - Epoch(train) [123][120/161] lr: 9.6415e-02 eta: 1:45:51 time: 0.3164 data_time: 0.0399 memory: 9707 grad_norm: 1.0456 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2047 loss: 0.2047 2022/08/05 16:59:20 - mmengine - INFO - Epoch(train) [123][140/161] lr: 9.6253e-02 eta: 1:45:44 time: 0.3168 data_time: 0.0437 memory: 9707 grad_norm: 1.0312 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3216 loss: 0.3216 2022/08/05 16:59:26 - mmengine - INFO - Epoch(train) [123][160/161] lr: 9.6090e-02 eta: 1:45:36 time: 0.3004 data_time: 0.0382 memory: 9707 grad_norm: 1.1374 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3440 loss: 0.3440 2022/08/05 16:59:26 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 16:59:26 - mmengine - INFO - Epoch(train) [123][161/161] lr: 9.6082e-02 eta: 1:45:36 time: 0.2907 data_time: 0.0404 memory: 652 grad_norm: 1.3185 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.6523 loss: 0.6523 2022/08/05 16:59:36 - mmengine - INFO - Epoch(train) [124][20/161] lr: 9.5920e-02 eta: 1:45:32 time: 0.4735 data_time: 0.1572 memory: 9707 grad_norm: 1.1680 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3356 loss: 0.3356 2022/08/05 16:59:42 - mmengine - INFO - Epoch(train) [124][40/161] lr: 9.5757e-02 eta: 1:45:25 time: 0.3205 data_time: 0.0400 memory: 9707 grad_norm: 1.0734 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3305 loss: 0.3305 2022/08/05 16:59:48 - mmengine - INFO - Epoch(train) [124][60/161] lr: 9.5595e-02 eta: 1:45:18 time: 0.3163 data_time: 0.0435 memory: 9707 grad_norm: 1.0170 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2729 loss: 0.2729 2022/08/05 16:59:55 - mmengine - INFO - Epoch(train) [124][80/161] lr: 9.5432e-02 eta: 1:45:10 time: 0.3169 data_time: 0.0401 memory: 9707 grad_norm: 1.0754 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2027 loss: 0.2027 2022/08/05 17:00:01 - mmengine - INFO - Epoch(train) [124][100/161] lr: 9.5270e-02 eta: 1:45:03 time: 0.3164 data_time: 0.0410 memory: 9707 grad_norm: 1.0363 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2609 loss: 0.2609 2022/08/05 17:00:08 - mmengine - INFO - Epoch(train) [124][120/161] lr: 9.5107e-02 eta: 1:44:56 time: 0.3224 data_time: 0.0411 memory: 9707 grad_norm: 1.2288 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1891 loss: 0.1891 2022/08/05 17:00:14 - mmengine - INFO - Epoch(train) [124][140/161] lr: 9.4945e-02 eta: 1:44:49 time: 0.3196 data_time: 0.0441 memory: 9707 grad_norm: 1.1613 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2661 loss: 0.2661 2022/08/05 17:00:20 - mmengine - INFO - Epoch(train) [124][160/161] lr: 9.4783e-02 eta: 1:44:42 time: 0.2932 data_time: 0.0375 memory: 9707 grad_norm: 1.1597 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2342 loss: 0.2342 2022/08/05 17:00:20 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:00:20 - mmengine - INFO - Epoch(train) [124][161/161] lr: 9.4775e-02 eta: 1:44:42 time: 0.2817 data_time: 0.0386 memory: 652 grad_norm: 1.2972 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4663 loss: 0.4663 2022/08/05 17:00:29 - mmengine - INFO - Epoch(train) [125][20/161] lr: 9.4612e-02 eta: 1:44:37 time: 0.4603 data_time: 0.1284 memory: 9707 grad_norm: 1.1242 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2376 loss: 0.2376 2022/08/05 17:00:34 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:00:35 - mmengine - INFO - Epoch(train) [125][40/161] lr: 9.4450e-02 eta: 1:44:30 time: 0.3148 data_time: 0.0424 memory: 9707 grad_norm: 1.0684 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2691 loss: 0.2691 2022/08/05 17:00:42 - mmengine - INFO - Epoch(train) [125][60/161] lr: 9.4287e-02 eta: 1:44:23 time: 0.3237 data_time: 0.0405 memory: 9707 grad_norm: 1.0872 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3229 loss: 0.3229 2022/08/05 17:00:48 - mmengine - INFO - Epoch(train) [125][80/161] lr: 9.4125e-02 eta: 1:44:15 time: 0.3164 data_time: 0.0401 memory: 9707 grad_norm: 1.1607 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2967 loss: 0.2967 2022/08/05 17:00:55 - mmengine - INFO - Epoch(train) [125][100/161] lr: 9.3963e-02 eta: 1:44:08 time: 0.3186 data_time: 0.0422 memory: 9707 grad_norm: 1.2089 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2327 loss: 0.2327 2022/08/05 17:01:01 - mmengine - INFO - Epoch(train) [125][120/161] lr: 9.3800e-02 eta: 1:44:01 time: 0.3181 data_time: 0.0407 memory: 9707 grad_norm: 1.1698 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2991 loss: 0.2991 2022/08/05 17:01:07 - mmengine - INFO - Epoch(train) [125][140/161] lr: 9.3638e-02 eta: 1:43:54 time: 0.3146 data_time: 0.0392 memory: 9707 grad_norm: 1.1824 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2949 loss: 0.2949 2022/08/05 17:01:13 - mmengine - INFO - Epoch(train) [125][160/161] lr: 9.3476e-02 eta: 1:43:47 time: 0.3100 data_time: 0.0346 memory: 9707 grad_norm: 1.2654 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.2853 loss: 0.2853 2022/08/05 17:01:14 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:01:14 - mmengine - INFO - Epoch(train) [125][161/161] lr: 9.3468e-02 eta: 1:43:47 time: 0.3005 data_time: 0.0365 memory: 652 grad_norm: 1.4503 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5004 loss: 0.5004 2022/08/05 17:01:23 - mmengine - INFO - Epoch(train) [126][20/161] lr: 9.3306e-02 eta: 1:43:42 time: 0.4737 data_time: 0.1459 memory: 9707 grad_norm: 1.2397 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3185 loss: 0.3185 2022/08/05 17:01:29 - mmengine - INFO - Epoch(train) [126][40/161] lr: 9.3143e-02 eta: 1:43:35 time: 0.3127 data_time: 0.0382 memory: 9707 grad_norm: 1.1795 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2057 loss: 0.2057 2022/08/05 17:01:36 - mmengine - INFO - Epoch(train) [126][60/161] lr: 9.2981e-02 eta: 1:43:28 time: 0.3260 data_time: 0.0435 memory: 9707 grad_norm: 1.1085 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3086 loss: 0.3086 2022/08/05 17:01:42 - mmengine - INFO - Epoch(train) [126][80/161] lr: 9.2819e-02 eta: 1:43:21 time: 0.3240 data_time: 0.0407 memory: 9707 grad_norm: 1.0850 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2120 loss: 0.2120 2022/08/05 17:01:49 - mmengine - INFO - Epoch(train) [126][100/161] lr: 9.2657e-02 eta: 1:43:14 time: 0.3169 data_time: 0.0429 memory: 9707 grad_norm: 1.1525 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2158 loss: 0.2158 2022/08/05 17:01:55 - mmengine - INFO - Epoch(train) [126][120/161] lr: 9.2495e-02 eta: 1:43:07 time: 0.3185 data_time: 0.0413 memory: 9707 grad_norm: 1.2104 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2260 loss: 0.2260 2022/08/05 17:02:01 - mmengine - INFO - Epoch(train) [126][140/161] lr: 9.2332e-02 eta: 1:43:00 time: 0.3142 data_time: 0.0400 memory: 9707 grad_norm: 1.0963 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2175 loss: 0.2175 2022/08/05 17:02:07 - mmengine - INFO - Epoch(train) [126][160/161] lr: 9.2170e-02 eta: 1:42:52 time: 0.3005 data_time: 0.0374 memory: 9707 grad_norm: 1.1049 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3261 loss: 0.3261 2022/08/05 17:02:07 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:02:07 - mmengine - INFO - Epoch(train) [126][161/161] lr: 9.2162e-02 eta: 1:42:52 time: 0.2858 data_time: 0.0390 memory: 652 grad_norm: 1.2492 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3600 loss: 0.3600 2022/08/05 17:02:17 - mmengine - INFO - Epoch(train) [127][20/161] lr: 9.2000e-02 eta: 1:42:47 time: 0.4665 data_time: 0.1413 memory: 9707 grad_norm: 1.0704 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2125 loss: 0.2125 2022/08/05 17:02:23 - mmengine - INFO - Epoch(train) [127][40/161] lr: 9.1838e-02 eta: 1:42:40 time: 0.3191 data_time: 0.0387 memory: 9707 grad_norm: 1.1061 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2585 loss: 0.2585 2022/08/05 17:02:29 - mmengine - INFO - Epoch(train) [127][60/161] lr: 9.1676e-02 eta: 1:42:33 time: 0.3136 data_time: 0.0402 memory: 9707 grad_norm: 1.1072 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.2828 loss: 0.2828 2022/08/05 17:02:36 - mmengine - INFO - Epoch(train) [127][80/161] lr: 9.1514e-02 eta: 1:42:26 time: 0.3198 data_time: 0.0421 memory: 9707 grad_norm: 1.1357 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2804 loss: 0.2804 2022/08/05 17:02:43 - mmengine - INFO - Epoch(train) [127][100/161] lr: 9.1352e-02 eta: 1:42:19 time: 0.3331 data_time: 0.0455 memory: 9707 grad_norm: 1.0443 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2244 loss: 0.2244 2022/08/05 17:02:49 - mmengine - INFO - Epoch(train) [127][120/161] lr: 9.1190e-02 eta: 1:42:12 time: 0.3125 data_time: 0.0408 memory: 9707 grad_norm: 1.2864 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3168 loss: 0.3168 2022/08/05 17:02:55 - mmengine - INFO - Epoch(train) [127][140/161] lr: 9.1028e-02 eta: 1:42:05 time: 0.3144 data_time: 0.0428 memory: 9707 grad_norm: 1.1521 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2662 loss: 0.2662 2022/08/05 17:03:01 - mmengine - INFO - Epoch(train) [127][160/161] lr: 9.0866e-02 eta: 1:41:58 time: 0.2919 data_time: 0.0350 memory: 9707 grad_norm: 1.1149 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2944 loss: 0.2944 2022/08/05 17:03:01 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:03:01 - mmengine - INFO - Epoch(train) [127][161/161] lr: 9.0858e-02 eta: 1:41:58 time: 0.2815 data_time: 0.0365 memory: 652 grad_norm: 1.3179 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.4110 loss: 0.4110 2022/08/05 17:03:10 - mmengine - INFO - Epoch(train) [128][20/161] lr: 9.0696e-02 eta: 1:41:53 time: 0.4629 data_time: 0.1393 memory: 9707 grad_norm: 1.1843 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2483 loss: 0.2483 2022/08/05 17:03:17 - mmengine - INFO - Epoch(train) [128][40/161] lr: 9.0534e-02 eta: 1:41:45 time: 0.3157 data_time: 0.0399 memory: 9707 grad_norm: 1.0629 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2990 loss: 0.2990 2022/08/05 17:03:23 - mmengine - INFO - Epoch(train) [128][60/161] lr: 9.0372e-02 eta: 1:41:39 time: 0.3265 data_time: 0.0412 memory: 9707 grad_norm: 1.0388 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2662 loss: 0.2662 2022/08/05 17:03:30 - mmengine - INFO - Epoch(train) [128][80/161] lr: 9.0210e-02 eta: 1:41:32 time: 0.3191 data_time: 0.0369 memory: 9707 grad_norm: 1.0437 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2356 loss: 0.2356 2022/08/05 17:03:36 - mmengine - INFO - Epoch(train) [128][100/161] lr: 9.0049e-02 eta: 1:41:25 time: 0.3177 data_time: 0.0447 memory: 9707 grad_norm: 1.1477 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3142 loss: 0.3142 2022/08/05 17:03:42 - mmengine - INFO - Epoch(train) [128][120/161] lr: 8.9887e-02 eta: 1:41:17 time: 0.3196 data_time: 0.0409 memory: 9707 grad_norm: 1.0615 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.2713 loss: 0.2713 2022/08/05 17:03:49 - mmengine - INFO - Epoch(train) [128][140/161] lr: 8.9725e-02 eta: 1:41:10 time: 0.3175 data_time: 0.0418 memory: 9707 grad_norm: 1.2894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3381 loss: 0.3381 2022/08/05 17:03:54 - mmengine - INFO - Epoch(train) [128][160/161] lr: 8.9563e-02 eta: 1:41:03 time: 0.2913 data_time: 0.0356 memory: 9707 grad_norm: 1.1635 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.3005 loss: 0.3005 2022/08/05 17:03:55 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:03:55 - mmengine - INFO - Epoch(train) [128][161/161] lr: 8.9555e-02 eta: 1:41:03 time: 0.2823 data_time: 0.0382 memory: 652 grad_norm: 1.3447 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.4097 loss: 0.4097 2022/08/05 17:04:04 - mmengine - INFO - Epoch(train) [129][20/161] lr: 8.9394e-02 eta: 1:40:58 time: 0.4665 data_time: 0.1403 memory: 9707 grad_norm: 1.1388 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2603 loss: 0.2603 2022/08/05 17:04:10 - mmengine - INFO - Epoch(train) [129][40/161] lr: 8.9232e-02 eta: 1:40:51 time: 0.3146 data_time: 0.0410 memory: 9707 grad_norm: 1.0879 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2198 loss: 0.2198 2022/08/05 17:04:17 - mmengine - INFO - Epoch(train) [129][60/161] lr: 8.9070e-02 eta: 1:40:44 time: 0.3189 data_time: 0.0399 memory: 9707 grad_norm: 1.1101 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2477 loss: 0.2477 2022/08/05 17:04:23 - mmengine - INFO - Epoch(train) [129][80/161] lr: 8.8909e-02 eta: 1:40:37 time: 0.3408 data_time: 0.0387 memory: 9707 grad_norm: 1.2464 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3368 loss: 0.3368 2022/08/05 17:04:30 - mmengine - INFO - Epoch(train) [129][100/161] lr: 8.8747e-02 eta: 1:40:30 time: 0.3154 data_time: 0.0443 memory: 9707 grad_norm: 1.2538 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3003 loss: 0.3003 2022/08/05 17:04:36 - mmengine - INFO - Epoch(train) [129][120/161] lr: 8.8585e-02 eta: 1:40:23 time: 0.3161 data_time: 0.0411 memory: 9707 grad_norm: 1.1157 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2175 loss: 0.2175 2022/08/05 17:04:43 - mmengine - INFO - Epoch(train) [129][140/161] lr: 8.8424e-02 eta: 1:40:16 time: 0.3301 data_time: 0.0429 memory: 9707 grad_norm: 1.1760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2693 loss: 0.2693 2022/08/05 17:04:48 - mmengine - INFO - Epoch(train) [129][160/161] lr: 8.8262e-02 eta: 1:40:09 time: 0.2895 data_time: 0.0345 memory: 9707 grad_norm: 1.2072 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.2620 loss: 0.2620 2022/08/05 17:04:49 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:04:49 - mmengine - INFO - Epoch(train) [129][161/161] lr: 8.8254e-02 eta: 1:40:09 time: 0.2812 data_time: 0.0356 memory: 652 grad_norm: 1.3860 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.4158 loss: 0.4158 2022/08/05 17:04:58 - mmengine - INFO - Epoch(train) [130][20/161] lr: 8.8093e-02 eta: 1:40:03 time: 0.4598 data_time: 0.1557 memory: 9707 grad_norm: 1.2810 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2582 loss: 0.2582 2022/08/05 17:05:04 - mmengine - INFO - Epoch(train) [130][40/161] lr: 8.7931e-02 eta: 1:39:56 time: 0.3251 data_time: 0.0402 memory: 9707 grad_norm: 1.2908 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3155 loss: 0.3155 2022/08/05 17:05:11 - mmengine - INFO - Epoch(train) [130][60/161] lr: 8.7770e-02 eta: 1:39:49 time: 0.3160 data_time: 0.0439 memory: 9707 grad_norm: 1.1230 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2369 loss: 0.2369 2022/08/05 17:05:17 - mmengine - INFO - Epoch(train) [130][80/161] lr: 8.7609e-02 eta: 1:39:42 time: 0.3192 data_time: 0.0403 memory: 9707 grad_norm: 1.0725 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1937 loss: 0.1937 2022/08/05 17:05:24 - mmengine - INFO - Epoch(train) [130][100/161] lr: 8.7447e-02 eta: 1:39:36 time: 0.3333 data_time: 0.0439 memory: 9707 grad_norm: 1.2111 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2616 loss: 0.2616 2022/08/05 17:05:30 - mmengine - INFO - Epoch(train) [130][120/161] lr: 8.7286e-02 eta: 1:39:28 time: 0.3170 data_time: 0.0401 memory: 9707 grad_norm: 1.2982 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.2981 loss: 0.2981 2022/08/05 17:05:36 - mmengine - INFO - Epoch(train) [130][140/161] lr: 8.7125e-02 eta: 1:39:21 time: 0.3179 data_time: 0.0402 memory: 9707 grad_norm: 1.1734 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2527 loss: 0.2527 2022/08/05 17:05:43 - mmengine - INFO - Epoch(train) [130][160/161] lr: 8.6964e-02 eta: 1:39:14 time: 0.3155 data_time: 0.0386 memory: 9707 grad_norm: 1.2248 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1757 loss: 0.1757 2022/08/05 17:05:43 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:05:43 - mmengine - INFO - Epoch(train) [130][161/161] lr: 8.6955e-02 eta: 1:39:14 time: 0.3070 data_time: 0.0413 memory: 652 grad_norm: 1.3940 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4066 loss: 0.4066 2022/08/05 17:05:43 - mmengine - INFO - Saving checkpoint at 130 epochs 2022/08/05 17:05:55 - mmengine - INFO - Epoch(val) [130][20/67] eta: 0:00:20 time: 0.4456 data_time: 0.2578 memory: 1868 2022/08/05 17:06:01 - mmengine - INFO - Epoch(val) [130][40/67] eta: 0:00:07 time: 0.2945 data_time: 0.1225 memory: 1868 2022/08/05 17:06:05 - mmengine - INFO - Epoch(val) [130][60/67] eta: 0:00:01 time: 0.2025 data_time: 0.0662 memory: 1868 2022/08/05 17:06:06 - mmengine - INFO - Epoch(val) [130][67/67] acc/top1: 0.1204 acc/top5: 0.3189 acc/mean1: 0.0912 2022/08/05 17:06:15 - mmengine - INFO - Epoch(train) [131][20/161] lr: 8.6794e-02 eta: 1:39:09 time: 0.4591 data_time: 0.1423 memory: 9707 grad_norm: 1.1872 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2620 loss: 0.2620 2022/08/05 17:06:22 - mmengine - INFO - Epoch(train) [131][40/161] lr: 8.6633e-02 eta: 1:39:02 time: 0.3134 data_time: 0.0359 memory: 9707 grad_norm: 1.1097 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1959 loss: 0.1959 2022/08/05 17:06:28 - mmengine - INFO - Epoch(train) [131][60/161] lr: 8.6472e-02 eta: 1:38:55 time: 0.3228 data_time: 0.0418 memory: 9707 grad_norm: 1.0897 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2604 loss: 0.2604 2022/08/05 17:06:31 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:06:34 - mmengine - INFO - Epoch(train) [131][80/161] lr: 8.6311e-02 eta: 1:38:48 time: 0.3164 data_time: 0.0404 memory: 9707 grad_norm: 1.1391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2397 loss: 0.2397 2022/08/05 17:06:41 - mmengine - INFO - Epoch(train) [131][100/161] lr: 8.6150e-02 eta: 1:38:41 time: 0.3188 data_time: 0.0437 memory: 9707 grad_norm: 1.0898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1970 loss: 0.1970 2022/08/05 17:06:47 - mmengine - INFO - Epoch(train) [131][120/161] lr: 8.5989e-02 eta: 1:38:34 time: 0.3265 data_time: 0.0387 memory: 9707 grad_norm: 1.0998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1883 loss: 0.1883 2022/08/05 17:06:54 - mmengine - INFO - Epoch(train) [131][140/161] lr: 8.5828e-02 eta: 1:38:27 time: 0.3208 data_time: 0.0488 memory: 9707 grad_norm: 1.1216 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2543 loss: 0.2543 2022/08/05 17:07:00 - mmengine - INFO - Epoch(train) [131][160/161] lr: 8.5667e-02 eta: 1:38:20 time: 0.2929 data_time: 0.0366 memory: 9707 grad_norm: 1.1941 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2819 loss: 0.2819 2022/08/05 17:07:00 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:07:00 - mmengine - INFO - Epoch(train) [131][161/161] lr: 8.5659e-02 eta: 1:38:20 time: 0.2831 data_time: 0.0380 memory: 652 grad_norm: 1.3687 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5368 loss: 0.5368 2022/08/05 17:07:09 - mmengine - INFO - Epoch(train) [132][20/161] lr: 8.5498e-02 eta: 1:38:15 time: 0.4754 data_time: 0.1482 memory: 9707 grad_norm: 1.0965 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2315 loss: 0.2315 2022/08/05 17:07:16 - mmengine - INFO - Epoch(train) [132][40/161] lr: 8.5337e-02 eta: 1:38:08 time: 0.3157 data_time: 0.0400 memory: 9707 grad_norm: 1.1238 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2759 loss: 0.2759 2022/08/05 17:07:22 - mmengine - INFO - Epoch(train) [132][60/161] lr: 8.5176e-02 eta: 1:38:00 time: 0.3162 data_time: 0.0437 memory: 9707 grad_norm: 1.1316 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3057 loss: 0.3057 2022/08/05 17:07:29 - mmengine - INFO - Epoch(train) [132][80/161] lr: 8.5015e-02 eta: 1:37:54 time: 0.3319 data_time: 0.0428 memory: 9707 grad_norm: 1.2802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2675 loss: 0.2675 2022/08/05 17:07:35 - mmengine - INFO - Epoch(train) [132][100/161] lr: 8.4855e-02 eta: 1:37:47 time: 0.3189 data_time: 0.0423 memory: 9707 grad_norm: 1.1525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2208 loss: 0.2208 2022/08/05 17:07:41 - mmengine - INFO - Epoch(train) [132][120/161] lr: 8.4694e-02 eta: 1:37:40 time: 0.3158 data_time: 0.0413 memory: 9707 grad_norm: 1.1384 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1997 loss: 0.1997 2022/08/05 17:07:48 - mmengine - INFO - Epoch(train) [132][140/161] lr: 8.4533e-02 eta: 1:37:33 time: 0.3202 data_time: 0.0447 memory: 9707 grad_norm: 1.2561 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3076 loss: 0.3076 2022/08/05 17:07:54 - mmengine - INFO - Epoch(train) [132][160/161] lr: 8.4373e-02 eta: 1:37:26 time: 0.3253 data_time: 0.0366 memory: 9707 grad_norm: 1.1189 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2061 loss: 0.2061 2022/08/05 17:07:54 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:07:54 - mmengine - INFO - Epoch(train) [132][161/161] lr: 8.4365e-02 eta: 1:37:26 time: 0.3154 data_time: 0.0377 memory: 652 grad_norm: 1.3027 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5093 loss: 0.5093 2022/08/05 17:08:04 - mmengine - INFO - Epoch(train) [133][20/161] lr: 8.4204e-02 eta: 1:37:20 time: 0.4653 data_time: 0.1398 memory: 9707 grad_norm: 1.1548 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2265 loss: 0.2265 2022/08/05 17:08:10 - mmengine - INFO - Epoch(train) [133][40/161] lr: 8.4043e-02 eta: 1:37:13 time: 0.3113 data_time: 0.0405 memory: 9707 grad_norm: 1.1593 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2329 loss: 0.2329 2022/08/05 17:08:16 - mmengine - INFO - Epoch(train) [133][60/161] lr: 8.3883e-02 eta: 1:37:06 time: 0.3286 data_time: 0.0443 memory: 9707 grad_norm: 1.1157 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2577 loss: 0.2577 2022/08/05 17:08:23 - mmengine - INFO - Epoch(train) [133][80/161] lr: 8.3722e-02 eta: 1:37:00 time: 0.3283 data_time: 0.0397 memory: 9707 grad_norm: 1.1642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2924 loss: 0.2924 2022/08/05 17:08:29 - mmengine - INFO - Epoch(train) [133][100/161] lr: 8.3562e-02 eta: 1:36:53 time: 0.3172 data_time: 0.0410 memory: 9707 grad_norm: 1.0555 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2810 loss: 0.2810 2022/08/05 17:08:36 - mmengine - INFO - Epoch(train) [133][120/161] lr: 8.3402e-02 eta: 1:36:46 time: 0.3201 data_time: 0.0405 memory: 9707 grad_norm: 1.1241 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2613 loss: 0.2613 2022/08/05 17:08:42 - mmengine - INFO - Epoch(train) [133][140/161] lr: 8.3241e-02 eta: 1:36:39 time: 0.3127 data_time: 0.0420 memory: 9707 grad_norm: 1.2234 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2205 loss: 0.2205 2022/08/05 17:08:48 - mmengine - INFO - Epoch(train) [133][160/161] lr: 8.3081e-02 eta: 1:36:31 time: 0.2994 data_time: 0.0381 memory: 9707 grad_norm: 1.1995 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2245 loss: 0.2245 2022/08/05 17:08:48 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:08:48 - mmengine - INFO - Epoch(train) [133][161/161] lr: 8.3073e-02 eta: 1:36:31 time: 0.2838 data_time: 0.0397 memory: 652 grad_norm: 1.4216 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.3630 loss: 0.3630 2022/08/05 17:08:57 - mmengine - INFO - Epoch(train) [134][20/161] lr: 8.2913e-02 eta: 1:36:26 time: 0.4642 data_time: 0.1421 memory: 9707 grad_norm: 1.1433 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3077 loss: 0.3077 2022/08/05 17:09:05 - mmengine - INFO - Epoch(train) [134][40/161] lr: 8.2753e-02 eta: 1:36:20 time: 0.3631 data_time: 0.0416 memory: 9707 grad_norm: 1.1709 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2875 loss: 0.2875 2022/08/05 17:09:11 - mmengine - INFO - Epoch(train) [134][60/161] lr: 8.2592e-02 eta: 1:36:13 time: 0.3208 data_time: 0.0474 memory: 9707 grad_norm: 1.2380 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1850 loss: 0.1850 2022/08/05 17:09:17 - mmengine - INFO - Epoch(train) [134][80/161] lr: 8.2432e-02 eta: 1:36:06 time: 0.3165 data_time: 0.0448 memory: 9707 grad_norm: 1.2281 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2838 loss: 0.2838 2022/08/05 17:09:24 - mmengine - INFO - Epoch(train) [134][100/161] lr: 8.2272e-02 eta: 1:35:59 time: 0.3318 data_time: 0.0476 memory: 9707 grad_norm: 1.1715 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2757 loss: 0.2757 2022/08/05 17:09:31 - mmengine - INFO - Epoch(train) [134][120/161] lr: 8.2112e-02 eta: 1:35:52 time: 0.3217 data_time: 0.0433 memory: 9707 grad_norm: 1.1990 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.2610 loss: 0.2610 2022/08/05 17:09:37 - mmengine - INFO - Epoch(train) [134][140/161] lr: 8.1952e-02 eta: 1:35:45 time: 0.3167 data_time: 0.0399 memory: 9707 grad_norm: 1.2931 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2585 loss: 0.2585 2022/08/05 17:09:43 - mmengine - INFO - Epoch(train) [134][160/161] lr: 8.1792e-02 eta: 1:35:37 time: 0.2965 data_time: 0.0341 memory: 9707 grad_norm: 1.1097 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2260 loss: 0.2260 2022/08/05 17:09:43 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:09:43 - mmengine - INFO - Epoch(train) [134][161/161] lr: 8.1784e-02 eta: 1:35:37 time: 0.2890 data_time: 0.0366 memory: 652 grad_norm: 1.3609 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5812 loss: 0.5812 2022/08/05 17:09:52 - mmengine - INFO - Epoch(train) [135][20/161] lr: 8.1625e-02 eta: 1:35:32 time: 0.4684 data_time: 0.1541 memory: 9707 grad_norm: 1.1829 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2687 loss: 0.2687 2022/08/05 17:09:59 - mmengine - INFO - Epoch(train) [135][40/161] lr: 8.1465e-02 eta: 1:35:25 time: 0.3151 data_time: 0.0428 memory: 9707 grad_norm: 1.0991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2553 loss: 0.2553 2022/08/05 17:10:05 - mmengine - INFO - Epoch(train) [135][60/161] lr: 8.1305e-02 eta: 1:35:18 time: 0.3368 data_time: 0.0433 memory: 9707 grad_norm: 1.1327 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2538 loss: 0.2538 2022/08/05 17:10:12 - mmengine - INFO - Epoch(train) [135][80/161] lr: 8.1145e-02 eta: 1:35:11 time: 0.3140 data_time: 0.0395 memory: 9707 grad_norm: 1.0942 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2825 loss: 0.2825 2022/08/05 17:10:18 - mmengine - INFO - Epoch(train) [135][100/161] lr: 8.0986e-02 eta: 1:35:04 time: 0.3147 data_time: 0.0428 memory: 9707 grad_norm: 1.2080 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3080 loss: 0.3080 2022/08/05 17:10:24 - mmengine - INFO - Epoch(train) [135][120/161] lr: 8.0826e-02 eta: 1:34:57 time: 0.3217 data_time: 0.0388 memory: 9707 grad_norm: 1.1723 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1983 loss: 0.1983 2022/08/05 17:10:31 - mmengine - INFO - Epoch(train) [135][140/161] lr: 8.0666e-02 eta: 1:34:50 time: 0.3180 data_time: 0.0443 memory: 9707 grad_norm: 1.1619 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2091 loss: 0.2091 2022/08/05 17:10:37 - mmengine - INFO - Epoch(train) [135][160/161] lr: 8.0507e-02 eta: 1:34:43 time: 0.2902 data_time: 0.0343 memory: 9707 grad_norm: 1.1894 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2310 loss: 0.2310 2022/08/05 17:10:37 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:10:37 - mmengine - INFO - Epoch(train) [135][161/161] lr: 8.0499e-02 eta: 1:34:43 time: 0.2826 data_time: 0.0359 memory: 652 grad_norm: 1.4231 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4818 loss: 0.4818 2022/08/05 17:10:46 - mmengine - INFO - Epoch(train) [136][20/161] lr: 8.0339e-02 eta: 1:34:38 time: 0.4622 data_time: 0.1373 memory: 9707 grad_norm: 1.2947 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2913 loss: 0.2913 2022/08/05 17:10:52 - mmengine - INFO - Epoch(train) [136][40/161] lr: 8.0180e-02 eta: 1:34:30 time: 0.3115 data_time: 0.0377 memory: 9707 grad_norm: 1.1706 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1635 loss: 0.1635 2022/08/05 17:10:59 - mmengine - INFO - Epoch(train) [136][60/161] lr: 8.0021e-02 eta: 1:34:24 time: 0.3224 data_time: 0.0442 memory: 9707 grad_norm: 1.1451 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2032 loss: 0.2032 2022/08/05 17:11:05 - mmengine - INFO - Epoch(train) [136][80/161] lr: 7.9861e-02 eta: 1:34:17 time: 0.3217 data_time: 0.0429 memory: 9707 grad_norm: 1.2008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3267 loss: 0.3267 2022/08/05 17:11:11 - mmengine - INFO - Epoch(train) [136][100/161] lr: 7.9702e-02 eta: 1:34:09 time: 0.3144 data_time: 0.0413 memory: 9707 grad_norm: 1.1060 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1899 loss: 0.1899 2022/08/05 17:11:18 - mmengine - INFO - Epoch(train) [136][120/161] lr: 7.9543e-02 eta: 1:34:03 time: 0.3211 data_time: 0.0434 memory: 9707 grad_norm: 1.2452 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2025 loss: 0.2025 2022/08/05 17:11:24 - mmengine - INFO - Epoch(train) [136][140/161] lr: 7.9384e-02 eta: 1:33:56 time: 0.3184 data_time: 0.0434 memory: 9707 grad_norm: 1.2777 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2213 loss: 0.2213 2022/08/05 17:11:30 - mmengine - INFO - Epoch(train) [136][160/161] lr: 7.9225e-02 eta: 1:33:48 time: 0.2916 data_time: 0.0356 memory: 9707 grad_norm: 1.1129 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2331 loss: 0.2331 2022/08/05 17:11:30 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:11:30 - mmengine - INFO - Epoch(train) [136][161/161] lr: 7.9217e-02 eta: 1:33:48 time: 0.2810 data_time: 0.0374 memory: 652 grad_norm: 1.3143 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4593 loss: 0.4593 2022/08/05 17:11:39 - mmengine - INFO - Epoch(train) [137][20/161] lr: 7.9058e-02 eta: 1:33:43 time: 0.4641 data_time: 0.1225 memory: 9707 grad_norm: 1.1623 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2045 loss: 0.2045 2022/08/05 17:11:46 - mmengine - INFO - Epoch(train) [137][40/161] lr: 7.8899e-02 eta: 1:33:36 time: 0.3162 data_time: 0.0387 memory: 9707 grad_norm: 1.2511 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2426 loss: 0.2426 2022/08/05 17:11:52 - mmengine - INFO - Epoch(train) [137][60/161] lr: 7.8740e-02 eta: 1:33:29 time: 0.3139 data_time: 0.0428 memory: 9707 grad_norm: 1.1042 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2094 loss: 0.2094 2022/08/05 17:11:58 - mmengine - INFO - Epoch(train) [137][80/161] lr: 7.8581e-02 eta: 1:33:22 time: 0.3186 data_time: 0.0416 memory: 9707 grad_norm: 1.1215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2449 loss: 0.2449 2022/08/05 17:12:05 - mmengine - INFO - Epoch(train) [137][100/161] lr: 7.8422e-02 eta: 1:33:15 time: 0.3220 data_time: 0.0451 memory: 9707 grad_norm: 1.1752 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1849 loss: 0.1849 2022/08/05 17:12:06 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:12:11 - mmengine - INFO - Epoch(train) [137][120/161] lr: 7.8263e-02 eta: 1:33:08 time: 0.3137 data_time: 0.0411 memory: 9707 grad_norm: 1.1528 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1855 loss: 0.1855 2022/08/05 17:12:18 - mmengine - INFO - Epoch(train) [137][140/161] lr: 7.8105e-02 eta: 1:33:01 time: 0.3192 data_time: 0.0418 memory: 9707 grad_norm: 1.2011 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2020 loss: 0.2020 2022/08/05 17:12:24 - mmengine - INFO - Epoch(train) [137][160/161] lr: 7.7946e-02 eta: 1:32:54 time: 0.3051 data_time: 0.0353 memory: 9707 grad_norm: 1.2180 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2504 loss: 0.2504 2022/08/05 17:12:24 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:12:24 - mmengine - INFO - Epoch(train) [137][161/161] lr: 7.7938e-02 eta: 1:32:54 time: 0.2957 data_time: 0.0375 memory: 652 grad_norm: 1.3873 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3365 loss: 0.3365 2022/08/05 17:12:33 - mmengine - INFO - Epoch(train) [138][20/161] lr: 7.7780e-02 eta: 1:32:48 time: 0.4725 data_time: 0.1526 memory: 9707 grad_norm: 1.1635 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2176 loss: 0.2176 2022/08/05 17:12:39 - mmengine - INFO - Epoch(train) [138][40/161] lr: 7.7621e-02 eta: 1:32:41 time: 0.3099 data_time: 0.0381 memory: 9707 grad_norm: 1.1444 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2577 loss: 0.2577 2022/08/05 17:12:46 - mmengine - INFO - Epoch(train) [138][60/161] lr: 7.7463e-02 eta: 1:32:34 time: 0.3235 data_time: 0.0429 memory: 9707 grad_norm: 1.3260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2443 loss: 0.2443 2022/08/05 17:12:52 - mmengine - INFO - Epoch(train) [138][80/161] lr: 7.7304e-02 eta: 1:32:27 time: 0.3149 data_time: 0.0425 memory: 9707 grad_norm: 1.1506 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2029 loss: 0.2029 2022/08/05 17:12:59 - mmengine - INFO - Epoch(train) [138][100/161] lr: 7.7146e-02 eta: 1:32:20 time: 0.3172 data_time: 0.0416 memory: 9707 grad_norm: 1.1446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2581 loss: 0.2581 2022/08/05 17:13:05 - mmengine - INFO - Epoch(train) [138][120/161] lr: 7.6988e-02 eta: 1:32:13 time: 0.3203 data_time: 0.0384 memory: 9707 grad_norm: 1.2514 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2361 loss: 0.2361 2022/08/05 17:13:11 - mmengine - INFO - Epoch(train) [138][140/161] lr: 7.6829e-02 eta: 1:32:06 time: 0.3159 data_time: 0.0417 memory: 9707 grad_norm: 1.2604 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2444 loss: 0.2444 2022/08/05 17:13:17 - mmengine - INFO - Epoch(train) [138][160/161] lr: 7.6671e-02 eta: 1:31:59 time: 0.2909 data_time: 0.0363 memory: 9707 grad_norm: 1.1641 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1673 loss: 0.1673 2022/08/05 17:13:17 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:13:17 - mmengine - INFO - Epoch(train) [138][161/161] lr: 7.6663e-02 eta: 1:31:59 time: 0.2817 data_time: 0.0379 memory: 652 grad_norm: 1.3330 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3353 loss: 0.3353 2022/08/05 17:13:27 - mmengine - INFO - Epoch(train) [139][20/161] lr: 7.6505e-02 eta: 1:31:54 time: 0.4716 data_time: 0.1314 memory: 9707 grad_norm: 1.2889 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3054 loss: 0.3054 2022/08/05 17:13:33 - mmengine - INFO - Epoch(train) [139][40/161] lr: 7.6347e-02 eta: 1:31:47 time: 0.3229 data_time: 0.0393 memory: 9707 grad_norm: 1.1881 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2188 loss: 0.2188 2022/08/05 17:13:39 - mmengine - INFO - Epoch(train) [139][60/161] lr: 7.6189e-02 eta: 1:31:40 time: 0.3167 data_time: 0.0415 memory: 9707 grad_norm: 1.1318 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2406 loss: 0.2406 2022/08/05 17:13:46 - mmengine - INFO - Epoch(train) [139][80/161] lr: 7.6031e-02 eta: 1:31:33 time: 0.3198 data_time: 0.0393 memory: 9707 grad_norm: 1.2101 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2691 loss: 0.2691 2022/08/05 17:13:52 - mmengine - INFO - Epoch(train) [139][100/161] lr: 7.5874e-02 eta: 1:31:26 time: 0.3146 data_time: 0.0446 memory: 9707 grad_norm: 1.1226 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1917 loss: 0.1917 2022/08/05 17:13:58 - mmengine - INFO - Epoch(train) [139][120/161] lr: 7.5716e-02 eta: 1:31:19 time: 0.3158 data_time: 0.0419 memory: 9707 grad_norm: 1.1637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2542 loss: 0.2542 2022/08/05 17:14:05 - mmengine - INFO - Epoch(train) [139][140/161] lr: 7.5558e-02 eta: 1:31:12 time: 0.3231 data_time: 0.0419 memory: 9707 grad_norm: 1.1515 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2035 loss: 0.2035 2022/08/05 17:14:11 - mmengine - INFO - Epoch(train) [139][160/161] lr: 7.5400e-02 eta: 1:31:04 time: 0.2903 data_time: 0.0370 memory: 9707 grad_norm: 1.2867 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2594 loss: 0.2594 2022/08/05 17:14:11 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:14:11 - mmengine - INFO - Epoch(train) [139][161/161] lr: 7.5393e-02 eta: 1:31:04 time: 0.2800 data_time: 0.0381 memory: 652 grad_norm: 1.4644 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5378 loss: 0.5378 2022/08/05 17:14:20 - mmengine - INFO - Epoch(train) [140][20/161] lr: 7.5235e-02 eta: 1:30:59 time: 0.4713 data_time: 0.1494 memory: 9707 grad_norm: 1.2281 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2910 loss: 0.2910 2022/08/05 17:14:27 - mmengine - INFO - Epoch(train) [140][40/161] lr: 7.5077e-02 eta: 1:30:52 time: 0.3183 data_time: 0.0381 memory: 9707 grad_norm: 1.2377 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2718 loss: 0.2718 2022/08/05 17:14:33 - mmengine - INFO - Epoch(train) [140][60/161] lr: 7.4920e-02 eta: 1:30:45 time: 0.3200 data_time: 0.0433 memory: 9707 grad_norm: 1.1060 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1951 loss: 0.1951 2022/08/05 17:14:39 - mmengine - INFO - Epoch(train) [140][80/161] lr: 7.4763e-02 eta: 1:30:38 time: 0.3134 data_time: 0.0391 memory: 9707 grad_norm: 1.1220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2089 loss: 0.2089 2022/08/05 17:14:46 - mmengine - INFO - Epoch(train) [140][100/161] lr: 7.4605e-02 eta: 1:30:31 time: 0.3260 data_time: 0.0408 memory: 9707 grad_norm: 1.2476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1896 loss: 0.1896 2022/08/05 17:14:52 - mmengine - INFO - Epoch(train) [140][120/161] lr: 7.4448e-02 eta: 1:30:24 time: 0.3208 data_time: 0.0415 memory: 9707 grad_norm: 1.1144 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2515 loss: 0.2515 2022/08/05 17:14:59 - mmengine - INFO - Epoch(train) [140][140/161] lr: 7.4291e-02 eta: 1:30:17 time: 0.3167 data_time: 0.0462 memory: 9707 grad_norm: 1.1520 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1971 loss: 0.1971 2022/08/05 17:15:05 - mmengine - INFO - Epoch(train) [140][160/161] lr: 7.4134e-02 eta: 1:30:10 time: 0.3242 data_time: 0.0402 memory: 9707 grad_norm: 1.1084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1726 loss: 0.1726 2022/08/05 17:15:05 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:15:05 - mmengine - INFO - Epoch(train) [140][161/161] lr: 7.4126e-02 eta: 1:30:10 time: 0.3145 data_time: 0.0425 memory: 652 grad_norm: 1.2890 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4550 loss: 0.4550 2022/08/05 17:15:05 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/05 17:15:16 - mmengine - INFO - Epoch(val) [140][20/67] eta: 0:00:19 time: 0.4153 data_time: 0.2356 memory: 1868 2022/08/05 17:15:22 - mmengine - INFO - Epoch(val) [140][40/67] eta: 0:00:08 time: 0.2969 data_time: 0.1167 memory: 1868 2022/08/05 17:15:27 - mmengine - INFO - Epoch(val) [140][60/67] eta: 0:00:01 time: 0.2126 data_time: 0.0746 memory: 1868 2022/08/05 17:15:28 - mmengine - INFO - Epoch(val) [140][67/67] acc/top1: 0.8220 acc/top5: 0.9836 acc/mean1: 0.7782 2022/08/05 17:15:37 - mmengine - INFO - Epoch(train) [141][20/161] lr: 7.3969e-02 eta: 1:30:05 time: 0.4618 data_time: 0.1634 memory: 9707 grad_norm: 1.2169 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2499 loss: 0.2499 2022/08/05 17:15:44 - mmengine - INFO - Epoch(train) [141][40/161] lr: 7.3812e-02 eta: 1:29:58 time: 0.3319 data_time: 0.0401 memory: 9707 grad_norm: 1.1050 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1778 loss: 0.1778 2022/08/05 17:15:50 - mmengine - INFO - Epoch(train) [141][60/161] lr: 7.3655e-02 eta: 1:29:51 time: 0.3150 data_time: 0.0434 memory: 9707 grad_norm: 1.1337 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1797 loss: 0.1797 2022/08/05 17:15:57 - mmengine - INFO - Epoch(train) [141][80/161] lr: 7.3498e-02 eta: 1:29:44 time: 0.3164 data_time: 0.0394 memory: 9707 grad_norm: 1.1521 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2243 loss: 0.2243 2022/08/05 17:16:03 - mmengine - INFO - Epoch(train) [141][100/161] lr: 7.3341e-02 eta: 1:29:37 time: 0.3217 data_time: 0.0414 memory: 9707 grad_norm: 1.1424 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2293 loss: 0.2293 2022/08/05 17:16:09 - mmengine - INFO - Epoch(train) [141][120/161] lr: 7.3185e-02 eta: 1:29:30 time: 0.3186 data_time: 0.0424 memory: 9707 grad_norm: 1.2095 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2494 loss: 0.2494 2022/08/05 17:16:16 - mmengine - INFO - Epoch(train) [141][140/161] lr: 7.3028e-02 eta: 1:29:23 time: 0.3170 data_time: 0.0389 memory: 9707 grad_norm: 1.1357 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2159 loss: 0.2159 2022/08/05 17:16:22 - mmengine - INFO - Epoch(train) [141][160/161] lr: 7.2872e-02 eta: 1:29:16 time: 0.2898 data_time: 0.0346 memory: 9707 grad_norm: 1.2324 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2107 loss: 0.2107 2022/08/05 17:16:22 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:16:22 - mmengine - INFO - Epoch(train) [141][161/161] lr: 7.2864e-02 eta: 1:29:16 time: 0.2805 data_time: 0.0365 memory: 652 grad_norm: 1.3649 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.3655 loss: 0.3655 2022/08/05 17:16:31 - mmengine - INFO - Epoch(train) [142][20/161] lr: 7.2707e-02 eta: 1:29:10 time: 0.4678 data_time: 0.1487 memory: 9707 grad_norm: 1.1762 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2831 loss: 0.2831 2022/08/05 17:16:37 - mmengine - INFO - Epoch(train) [142][40/161] lr: 7.2551e-02 eta: 1:29:03 time: 0.3118 data_time: 0.0397 memory: 9707 grad_norm: 1.1844 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1878 loss: 0.1878 2022/08/05 17:16:44 - mmengine - INFO - Epoch(train) [142][60/161] lr: 7.2395e-02 eta: 1:28:56 time: 0.3237 data_time: 0.0425 memory: 9707 grad_norm: 1.1477 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2094 loss: 0.2094 2022/08/05 17:16:50 - mmengine - INFO - Epoch(train) [142][80/161] lr: 7.2238e-02 eta: 1:28:49 time: 0.3152 data_time: 0.0417 memory: 9707 grad_norm: 1.1494 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2564 loss: 0.2564 2022/08/05 17:16:57 - mmengine - INFO - Epoch(train) [142][100/161] lr: 7.2082e-02 eta: 1:28:42 time: 0.3235 data_time: 0.0423 memory: 9707 grad_norm: 1.0870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2302 loss: 0.2302 2022/08/05 17:17:03 - mmengine - INFO - Epoch(train) [142][120/161] lr: 7.1926e-02 eta: 1:28:35 time: 0.3146 data_time: 0.0390 memory: 9707 grad_norm: 1.1732 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2135 loss: 0.2135 2022/08/05 17:17:09 - mmengine - INFO - Epoch(train) [142][140/161] lr: 7.1770e-02 eta: 1:28:28 time: 0.3237 data_time: 0.0437 memory: 9707 grad_norm: 1.1345 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2173 loss: 0.2173 2022/08/05 17:17:15 - mmengine - INFO - Epoch(train) [142][160/161] lr: 7.1614e-02 eta: 1:28:21 time: 0.2942 data_time: 0.0357 memory: 9707 grad_norm: 1.0340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1572 loss: 0.1572 2022/08/05 17:17:15 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:17:15 - mmengine - INFO - Epoch(train) [142][161/161] lr: 7.1606e-02 eta: 1:28:21 time: 0.2845 data_time: 0.0368 memory: 652 grad_norm: 1.2874 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3808 loss: 0.3808 2022/08/05 17:17:25 - mmengine - INFO - Epoch(train) [143][20/161] lr: 7.1450e-02 eta: 1:28:16 time: 0.4664 data_time: 0.1457 memory: 9707 grad_norm: 1.2352 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2829 loss: 0.2829 2022/08/05 17:17:31 - mmengine - INFO - Epoch(train) [143][40/161] lr: 7.1295e-02 eta: 1:28:09 time: 0.3142 data_time: 0.0424 memory: 9707 grad_norm: 1.1394 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2466 loss: 0.2466 2022/08/05 17:17:37 - mmengine - INFO - Epoch(train) [143][60/161] lr: 7.1139e-02 eta: 1:28:02 time: 0.3184 data_time: 0.0406 memory: 9707 grad_norm: 1.1900 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2501 loss: 0.2501 2022/08/05 17:17:44 - mmengine - INFO - Epoch(train) [143][80/161] lr: 7.0983e-02 eta: 1:27:55 time: 0.3250 data_time: 0.0407 memory: 9707 grad_norm: 1.2122 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2002 loss: 0.2002 2022/08/05 17:17:50 - mmengine - INFO - Epoch(train) [143][100/161] lr: 7.0828e-02 eta: 1:27:48 time: 0.3149 data_time: 0.0452 memory: 9707 grad_norm: 1.1789 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2126 loss: 0.2126 2022/08/05 17:17:57 - mmengine - INFO - Epoch(train) [143][120/161] lr: 7.0672e-02 eta: 1:27:41 time: 0.3221 data_time: 0.0390 memory: 9707 grad_norm: 1.1941 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1896 loss: 0.1896 2022/08/05 17:18:02 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:18:03 - mmengine - INFO - Epoch(train) [143][140/161] lr: 7.0517e-02 eta: 1:27:34 time: 0.3155 data_time: 0.0412 memory: 9707 grad_norm: 1.2030 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1864 loss: 0.1864 2022/08/05 17:18:09 - mmengine - INFO - Epoch(train) [143][160/161] lr: 7.0361e-02 eta: 1:27:27 time: 0.2945 data_time: 0.0358 memory: 9707 grad_norm: 1.0872 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2083 loss: 0.2083 2022/08/05 17:18:09 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:18:09 - mmengine - INFO - Epoch(train) [143][161/161] lr: 7.0354e-02 eta: 1:27:27 time: 0.2809 data_time: 0.0379 memory: 652 grad_norm: 1.2615 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4329 loss: 0.4329 2022/08/05 17:18:18 - mmengine - INFO - Epoch(train) [144][20/161] lr: 7.0198e-02 eta: 1:27:21 time: 0.4631 data_time: 0.1450 memory: 9707 grad_norm: 1.1353 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2856 loss: 0.2856 2022/08/05 17:18:25 - mmengine - INFO - Epoch(train) [144][40/161] lr: 7.0043e-02 eta: 1:27:14 time: 0.3176 data_time: 0.0367 memory: 9707 grad_norm: 1.0877 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2215 loss: 0.2215 2022/08/05 17:18:31 - mmengine - INFO - Epoch(train) [144][60/161] lr: 6.9888e-02 eta: 1:27:07 time: 0.3180 data_time: 0.0440 memory: 9707 grad_norm: 1.2054 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1668 loss: 0.1668 2022/08/05 17:18:37 - mmengine - INFO - Epoch(train) [144][80/161] lr: 6.9733e-02 eta: 1:27:00 time: 0.3156 data_time: 0.0398 memory: 9707 grad_norm: 1.2495 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2220 loss: 0.2220 2022/08/05 17:18:44 - mmengine - INFO - Epoch(train) [144][100/161] lr: 6.9578e-02 eta: 1:26:54 time: 0.3461 data_time: 0.0437 memory: 9707 grad_norm: 1.1645 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2001 loss: 0.2001 2022/08/05 17:18:50 - mmengine - INFO - Epoch(train) [144][120/161] lr: 6.9423e-02 eta: 1:26:46 time: 0.3128 data_time: 0.0385 memory: 9707 grad_norm: 1.3239 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1981 loss: 0.1981 2022/08/05 17:18:57 - mmengine - INFO - Epoch(train) [144][140/161] lr: 6.9268e-02 eta: 1:26:40 time: 0.3191 data_time: 0.0431 memory: 9707 grad_norm: 1.2375 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2290 loss: 0.2290 2022/08/05 17:19:03 - mmengine - INFO - Epoch(train) [144][160/161] lr: 6.9114e-02 eta: 1:26:32 time: 0.2939 data_time: 0.0370 memory: 9707 grad_norm: 1.1916 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1970 loss: 0.1970 2022/08/05 17:19:03 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:19:03 - mmengine - INFO - Epoch(train) [144][161/161] lr: 6.9106e-02 eta: 1:26:32 time: 0.2857 data_time: 0.0386 memory: 652 grad_norm: 1.3767 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4413 loss: 0.4413 2022/08/05 17:19:12 - mmengine - INFO - Epoch(train) [145][20/161] lr: 6.8951e-02 eta: 1:26:27 time: 0.4627 data_time: 0.1397 memory: 9707 grad_norm: 1.1710 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1977 loss: 0.1977 2022/08/05 17:19:18 - mmengine - INFO - Epoch(train) [145][40/161] lr: 6.8797e-02 eta: 1:26:20 time: 0.3174 data_time: 0.0416 memory: 9707 grad_norm: 1.1179 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1836 loss: 0.1836 2022/08/05 17:19:25 - mmengine - INFO - Epoch(train) [145][60/161] lr: 6.8642e-02 eta: 1:26:13 time: 0.3237 data_time: 0.0427 memory: 9707 grad_norm: 1.0012 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1636 loss: 0.1636 2022/08/05 17:19:31 - mmengine - INFO - Epoch(train) [145][80/161] lr: 6.8488e-02 eta: 1:26:06 time: 0.3131 data_time: 0.0394 memory: 9707 grad_norm: 0.9842 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1589 loss: 0.1589 2022/08/05 17:19:38 - mmengine - INFO - Epoch(train) [145][100/161] lr: 6.8334e-02 eta: 1:25:59 time: 0.3222 data_time: 0.0398 memory: 9707 grad_norm: 1.2567 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.1895 loss: 0.1895 2022/08/05 17:19:44 - mmengine - INFO - Epoch(train) [145][120/161] lr: 6.8180e-02 eta: 1:25:52 time: 0.3244 data_time: 0.0453 memory: 9707 grad_norm: 1.3332 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2024 loss: 0.2024 2022/08/05 17:19:50 - mmengine - INFO - Epoch(train) [145][140/161] lr: 6.8025e-02 eta: 1:25:45 time: 0.3140 data_time: 0.0408 memory: 9707 grad_norm: 1.3534 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2347 loss: 0.2347 2022/08/05 17:19:56 - mmengine - INFO - Epoch(train) [145][160/161] lr: 6.7871e-02 eta: 1:25:38 time: 0.2922 data_time: 0.0378 memory: 9707 grad_norm: 1.2417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2041 loss: 0.2041 2022/08/05 17:19:56 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:19:56 - mmengine - INFO - Epoch(train) [145][161/161] lr: 6.7864e-02 eta: 1:25:38 time: 0.2821 data_time: 0.0383 memory: 652 grad_norm: 1.4298 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2737 loss: 0.2737 2022/08/05 17:20:06 - mmengine - INFO - Epoch(train) [146][20/161] lr: 6.7710e-02 eta: 1:25:32 time: 0.4750 data_time: 0.1332 memory: 9707 grad_norm: 1.2599 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2827 loss: 0.2827 2022/08/05 17:20:12 - mmengine - INFO - Epoch(train) [146][40/161] lr: 6.7556e-02 eta: 1:25:25 time: 0.3190 data_time: 0.0402 memory: 9707 grad_norm: 1.2062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2003 loss: 0.2003 2022/08/05 17:20:19 - mmengine - INFO - Epoch(train) [146][60/161] lr: 6.7402e-02 eta: 1:25:19 time: 0.3310 data_time: 0.0398 memory: 9707 grad_norm: 1.2295 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2350 loss: 0.2350 2022/08/05 17:20:25 - mmengine - INFO - Epoch(train) [146][80/161] lr: 6.7249e-02 eta: 1:25:12 time: 0.3248 data_time: 0.0410 memory: 9707 grad_norm: 1.1808 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2075 loss: 0.2075 2022/08/05 17:20:32 - mmengine - INFO - Epoch(train) [146][100/161] lr: 6.7095e-02 eta: 1:25:05 time: 0.3218 data_time: 0.0455 memory: 9707 grad_norm: 1.1877 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2062 loss: 0.2062 2022/08/05 17:20:38 - mmengine - INFO - Epoch(train) [146][120/161] lr: 6.6941e-02 eta: 1:24:58 time: 0.3184 data_time: 0.0415 memory: 9707 grad_norm: 1.0905 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2320 loss: 0.2320 2022/08/05 17:20:45 - mmengine - INFO - Epoch(train) [146][140/161] lr: 6.6788e-02 eta: 1:24:51 time: 0.3252 data_time: 0.0429 memory: 9707 grad_norm: 1.1374 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2251 loss: 0.2251 2022/08/05 17:20:51 - mmengine - INFO - Epoch(train) [146][160/161] lr: 6.6635e-02 eta: 1:24:44 time: 0.2917 data_time: 0.0380 memory: 9707 grad_norm: 1.1678 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1882 loss: 0.1882 2022/08/05 17:20:51 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:20:51 - mmengine - INFO - Epoch(train) [146][161/161] lr: 6.6627e-02 eta: 1:24:44 time: 0.2806 data_time: 0.0393 memory: 652 grad_norm: 1.3290 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3925 loss: 0.3925 2022/08/05 17:21:00 - mmengine - INFO - Epoch(train) [147][20/161] lr: 6.6474e-02 eta: 1:24:38 time: 0.4751 data_time: 0.1426 memory: 9707 grad_norm: 1.1840 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2550 loss: 0.2550 2022/08/05 17:21:07 - mmengine - INFO - Epoch(train) [147][40/161] lr: 6.6321e-02 eta: 1:24:31 time: 0.3222 data_time: 0.0363 memory: 9707 grad_norm: 1.1037 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2195 loss: 0.2195 2022/08/05 17:21:13 - mmengine - INFO - Epoch(train) [147][60/161] lr: 6.6168e-02 eta: 1:24:24 time: 0.3165 data_time: 0.0421 memory: 9707 grad_norm: 1.1962 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2124 loss: 0.2124 2022/08/05 17:21:19 - mmengine - INFO - Epoch(train) [147][80/161] lr: 6.6015e-02 eta: 1:24:17 time: 0.3162 data_time: 0.0388 memory: 9707 grad_norm: 1.2038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1461 loss: 0.1461 2022/08/05 17:21:26 - mmengine - INFO - Epoch(train) [147][100/161] lr: 6.5862e-02 eta: 1:24:10 time: 0.3195 data_time: 0.0407 memory: 9707 grad_norm: 1.1388 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2401 loss: 0.2401 2022/08/05 17:21:32 - mmengine - INFO - Epoch(train) [147][120/161] lr: 6.5709e-02 eta: 1:24:03 time: 0.3172 data_time: 0.0376 memory: 9707 grad_norm: 1.2005 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1499 loss: 0.1499 2022/08/05 17:21:38 - mmengine - INFO - Epoch(train) [147][140/161] lr: 6.5556e-02 eta: 1:23:57 time: 0.3203 data_time: 0.0402 memory: 9707 grad_norm: 1.2305 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1651 loss: 0.1651 2022/08/05 17:21:45 - mmengine - INFO - Epoch(train) [147][160/161] lr: 6.5404e-02 eta: 1:23:50 time: 0.3292 data_time: 0.0400 memory: 9707 grad_norm: 1.1572 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1589 loss: 0.1589 2022/08/05 17:21:45 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:21:45 - mmengine - INFO - Epoch(train) [147][161/161] lr: 6.5396e-02 eta: 1:23:50 time: 0.3202 data_time: 0.0421 memory: 652 grad_norm: 1.3315 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.2829 loss: 0.2829 2022/08/05 17:21:55 - mmengine - INFO - Epoch(train) [148][20/161] lr: 6.5243e-02 eta: 1:23:44 time: 0.4695 data_time: 0.1423 memory: 9707 grad_norm: 1.2830 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2765 loss: 0.2765 2022/08/05 17:22:01 - mmengine - INFO - Epoch(train) [148][40/161] lr: 6.5091e-02 eta: 1:23:37 time: 0.3155 data_time: 0.0385 memory: 9707 grad_norm: 1.2150 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2656 loss: 0.2656 2022/08/05 17:22:07 - mmengine - INFO - Epoch(train) [148][60/161] lr: 6.4939e-02 eta: 1:23:30 time: 0.3245 data_time: 0.0409 memory: 9707 grad_norm: 1.2237 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1957 loss: 0.1957 2022/08/05 17:22:14 - mmengine - INFO - Epoch(train) [148][80/161] lr: 6.4786e-02 eta: 1:23:23 time: 0.3256 data_time: 0.0410 memory: 9707 grad_norm: 1.1926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2251 loss: 0.2251 2022/08/05 17:22:20 - mmengine - INFO - Epoch(train) [148][100/161] lr: 6.4634e-02 eta: 1:23:17 time: 0.3187 data_time: 0.0435 memory: 9707 grad_norm: 1.0636 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2212 loss: 0.2212 2022/08/05 17:22:27 - mmengine - INFO - Epoch(train) [148][120/161] lr: 6.4482e-02 eta: 1:23:10 time: 0.3235 data_time: 0.0403 memory: 9707 grad_norm: 1.1408 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1835 loss: 0.1835 2022/08/05 17:22:33 - mmengine - INFO - Epoch(train) [148][140/161] lr: 6.4330e-02 eta: 1:23:03 time: 0.3233 data_time: 0.0440 memory: 9707 grad_norm: 1.1191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1823 loss: 0.1823 2022/08/05 17:22:39 - mmengine - INFO - Epoch(train) [148][160/161] lr: 6.4178e-02 eta: 1:22:56 time: 0.2948 data_time: 0.0351 memory: 9707 grad_norm: 1.0859 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1342 loss: 0.1342 2022/08/05 17:22:39 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:22:39 - mmengine - INFO - Epoch(train) [148][161/161] lr: 6.4171e-02 eta: 1:22:56 time: 0.2843 data_time: 0.0373 memory: 652 grad_norm: 1.2768 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.2595 loss: 0.2595 2022/08/05 17:22:49 - mmengine - INFO - Epoch(train) [149][20/161] lr: 6.4019e-02 eta: 1:22:50 time: 0.4829 data_time: 0.1535 memory: 9707 grad_norm: 1.2420 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1995 loss: 0.1995 2022/08/05 17:22:55 - mmengine - INFO - Epoch(train) [149][40/161] lr: 6.3867e-02 eta: 1:22:43 time: 0.3176 data_time: 0.0403 memory: 9707 grad_norm: 1.1366 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2208 loss: 0.2208 2022/08/05 17:23:02 - mmengine - INFO - Epoch(train) [149][60/161] lr: 6.3716e-02 eta: 1:22:36 time: 0.3195 data_time: 0.0414 memory: 9707 grad_norm: 1.1276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1948 loss: 0.1948 2022/08/05 17:23:08 - mmengine - INFO - Epoch(train) [149][80/161] lr: 6.3564e-02 eta: 1:22:29 time: 0.3287 data_time: 0.0419 memory: 9707 grad_norm: 1.1919 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2093 loss: 0.2093 2022/08/05 17:23:15 - mmengine - INFO - Epoch(train) [149][100/161] lr: 6.3413e-02 eta: 1:22:23 time: 0.3204 data_time: 0.0448 memory: 9707 grad_norm: 1.1428 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1934 loss: 0.1934 2022/08/05 17:23:21 - mmengine - INFO - Epoch(train) [149][120/161] lr: 6.3262e-02 eta: 1:22:16 time: 0.3140 data_time: 0.0430 memory: 9707 grad_norm: 1.1949 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1299 loss: 0.1299 2022/08/05 17:23:27 - mmengine - INFO - Epoch(train) [149][140/161] lr: 6.3110e-02 eta: 1:22:09 time: 0.3267 data_time: 0.0447 memory: 9707 grad_norm: 1.2802 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2036 loss: 0.2036 2022/08/05 17:23:33 - mmengine - INFO - Epoch(train) [149][160/161] lr: 6.2959e-02 eta: 1:22:01 time: 0.2918 data_time: 0.0360 memory: 9707 grad_norm: 1.2013 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2365 loss: 0.2365 2022/08/05 17:23:33 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:23:33 - mmengine - INFO - Epoch(train) [149][161/161] lr: 6.2952e-02 eta: 1:22:01 time: 0.2830 data_time: 0.0375 memory: 652 grad_norm: 1.4349 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4346 loss: 0.4346 2022/08/05 17:23:40 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:23:43 - mmengine - INFO - Epoch(train) [150][20/161] lr: 6.2801e-02 eta: 1:21:56 time: 0.4736 data_time: 0.1330 memory: 9707 grad_norm: 1.2367 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.2322 loss: 0.2322 2022/08/05 17:23:49 - mmengine - INFO - Epoch(train) [150][40/161] lr: 6.2650e-02 eta: 1:21:49 time: 0.3225 data_time: 0.0450 memory: 9707 grad_norm: 1.2410 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2475 loss: 0.2475 2022/08/05 17:23:56 - mmengine - INFO - Epoch(train) [150][60/161] lr: 6.2499e-02 eta: 1:21:42 time: 0.3187 data_time: 0.0424 memory: 9707 grad_norm: 1.1234 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1642 loss: 0.1642 2022/08/05 17:24:02 - mmengine - INFO - Epoch(train) [150][80/161] lr: 6.2348e-02 eta: 1:21:35 time: 0.3190 data_time: 0.0406 memory: 9707 grad_norm: 1.1551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2110 loss: 0.2110 2022/08/05 17:24:09 - mmengine - INFO - Epoch(train) [150][100/161] lr: 6.2198e-02 eta: 1:21:28 time: 0.3190 data_time: 0.0410 memory: 9707 grad_norm: 1.1576 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1934 loss: 0.1934 2022/08/05 17:24:15 - mmengine - INFO - Epoch(train) [150][120/161] lr: 6.2047e-02 eta: 1:21:21 time: 0.3158 data_time: 0.0396 memory: 9707 grad_norm: 1.1886 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1536 loss: 0.1536 2022/08/05 17:24:21 - mmengine - INFO - Epoch(train) [150][140/161] lr: 6.1897e-02 eta: 1:21:14 time: 0.3186 data_time: 0.0425 memory: 9707 grad_norm: 1.1819 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.2253 loss: 0.2253 2022/08/05 17:24:27 - mmengine - INFO - Epoch(train) [150][160/161] lr: 6.1747e-02 eta: 1:21:07 time: 0.3034 data_time: 0.0366 memory: 9707 grad_norm: 1.1939 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1652 loss: 0.1652 2022/08/05 17:24:27 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:24:27 - mmengine - INFO - Epoch(train) [150][161/161] lr: 6.1739e-02 eta: 1:21:07 time: 0.2936 data_time: 0.0381 memory: 652 grad_norm: 1.3890 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3967 loss: 0.3967 2022/08/05 17:24:27 - mmengine - INFO - Saving checkpoint at 150 epochs 2022/08/05 17:24:39 - mmengine - INFO - Epoch(val) [150][20/67] eta: 0:00:19 time: 0.4232 data_time: 0.2433 memory: 1868 2022/08/05 17:24:45 - mmengine - INFO - Epoch(val) [150][40/67] eta: 0:00:08 time: 0.3023 data_time: 0.1211 memory: 1868 2022/08/05 17:24:49 - mmengine - INFO - Epoch(val) [150][60/67] eta: 0:00:01 time: 0.2132 data_time: 0.0802 memory: 1868 2022/08/05 17:24:51 - mmengine - INFO - Epoch(val) [150][67/67] acc/top1: 0.8777 acc/top5: 0.9903 acc/mean1: 0.8127 2022/08/05 17:24:51 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_gym_limb/best_acc/top1_epoch_111.pth is removed 2022/08/05 17:24:53 - mmengine - INFO - The best checkpoint with 0.8777 acc/top1 at 151 epoch is saved to best_acc/top1_epoch_151.pth. 2022/08/05 17:25:01 - mmengine - INFO - Epoch(train) [151][20/161] lr: 6.1589e-02 eta: 1:21:01 time: 0.4152 data_time: 0.1393 memory: 9707 grad_norm: 1.3232 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1897 loss: 0.1897 2022/08/05 17:25:08 - mmengine - INFO - Epoch(train) [151][40/161] lr: 6.1439e-02 eta: 1:20:54 time: 0.3386 data_time: 0.0441 memory: 9707 grad_norm: 1.2328 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1761 loss: 0.1761 2022/08/05 17:25:15 - mmengine - INFO - Epoch(train) [151][60/161] lr: 6.1289e-02 eta: 1:20:47 time: 0.3166 data_time: 0.0424 memory: 9707 grad_norm: 1.1892 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1621 loss: 0.1621 2022/08/05 17:25:21 - mmengine - INFO - Epoch(train) [151][80/161] lr: 6.1139e-02 eta: 1:20:40 time: 0.3172 data_time: 0.0413 memory: 9707 grad_norm: 1.1702 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2130 loss: 0.2130 2022/08/05 17:25:27 - mmengine - INFO - Epoch(train) [151][100/161] lr: 6.0989e-02 eta: 1:20:33 time: 0.3214 data_time: 0.0430 memory: 9707 grad_norm: 1.2763 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1600 loss: 0.1600 2022/08/05 17:25:34 - mmengine - INFO - Epoch(train) [151][120/161] lr: 6.0840e-02 eta: 1:20:26 time: 0.3207 data_time: 0.0418 memory: 9707 grad_norm: 1.1807 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2203 loss: 0.2203 2022/08/05 17:25:40 - mmengine - INFO - Epoch(train) [151][140/161] lr: 6.0690e-02 eta: 1:20:20 time: 0.3163 data_time: 0.0389 memory: 9707 grad_norm: 1.2322 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2015 loss: 0.2015 2022/08/05 17:25:46 - mmengine - INFO - Epoch(train) [151][160/161] lr: 6.0541e-02 eta: 1:20:12 time: 0.2985 data_time: 0.0437 memory: 9707 grad_norm: 1.2149 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1265 loss: 0.1265 2022/08/05 17:25:46 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:25:46 - mmengine - INFO - Epoch(train) [151][161/161] lr: 6.0533e-02 eta: 1:20:12 time: 0.2875 data_time: 0.0432 memory: 652 grad_norm: 1.4136 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3668 loss: 0.3668 2022/08/05 17:25:56 - mmengine - INFO - Epoch(train) [152][20/161] lr: 6.0384e-02 eta: 1:20:07 time: 0.4739 data_time: 0.1424 memory: 9707 grad_norm: 1.2975 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2266 loss: 0.2266 2022/08/05 17:26:02 - mmengine - INFO - Epoch(train) [152][40/161] lr: 6.0234e-02 eta: 1:20:00 time: 0.3159 data_time: 0.0422 memory: 9707 grad_norm: 1.1263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1536 loss: 0.1536 2022/08/05 17:26:09 - mmengine - INFO - Epoch(train) [152][60/161] lr: 6.0085e-02 eta: 1:19:53 time: 0.3324 data_time: 0.0427 memory: 9707 grad_norm: 1.1813 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1601 loss: 0.1601 2022/08/05 17:26:15 - mmengine - INFO - Epoch(train) [152][80/161] lr: 5.9936e-02 eta: 1:19:46 time: 0.3209 data_time: 0.0436 memory: 9707 grad_norm: 1.2211 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2571 loss: 0.2571 2022/08/05 17:26:21 - mmengine - INFO - Epoch(train) [152][100/161] lr: 5.9787e-02 eta: 1:19:39 time: 0.3177 data_time: 0.0440 memory: 9707 grad_norm: 1.2469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2136 loss: 0.2136 2022/08/05 17:26:28 - mmengine - INFO - Epoch(train) [152][120/161] lr: 5.9639e-02 eta: 1:19:32 time: 0.3232 data_time: 0.0433 memory: 9707 grad_norm: 1.3750 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2079 loss: 0.2079 2022/08/05 17:26:34 - mmengine - INFO - Epoch(train) [152][140/161] lr: 5.9490e-02 eta: 1:19:25 time: 0.3182 data_time: 0.0404 memory: 9707 grad_norm: 1.3602 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2135 loss: 0.2135 2022/08/05 17:26:40 - mmengine - INFO - Epoch(train) [152][160/161] lr: 5.9341e-02 eta: 1:19:18 time: 0.2910 data_time: 0.0386 memory: 9707 grad_norm: 1.2001 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1636 loss: 0.1636 2022/08/05 17:26:40 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:26:40 - mmengine - INFO - Epoch(train) [152][161/161] lr: 5.9334e-02 eta: 1:19:18 time: 0.2787 data_time: 0.0366 memory: 652 grad_norm: 1.3977 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.3086 loss: 0.3086 2022/08/05 17:26:50 - mmengine - INFO - Epoch(train) [153][20/161] lr: 5.9185e-02 eta: 1:19:13 time: 0.4755 data_time: 0.1288 memory: 9707 grad_norm: 1.2142 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2703 loss: 0.2703 2022/08/05 17:26:56 - mmengine - INFO - Epoch(train) [153][40/161] lr: 5.9037e-02 eta: 1:19:06 time: 0.3304 data_time: 0.0431 memory: 9707 grad_norm: 1.2420 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2154 loss: 0.2154 2022/08/05 17:27:03 - mmengine - INFO - Epoch(train) [153][60/161] lr: 5.8889e-02 eta: 1:18:59 time: 0.3167 data_time: 0.0417 memory: 9707 grad_norm: 1.1771 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1928 loss: 0.1928 2022/08/05 17:27:09 - mmengine - INFO - Epoch(train) [153][80/161] lr: 5.8740e-02 eta: 1:18:52 time: 0.3233 data_time: 0.0414 memory: 9707 grad_norm: 1.1698 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1086 loss: 0.1086 2022/08/05 17:27:16 - mmengine - INFO - Epoch(train) [153][100/161] lr: 5.8592e-02 eta: 1:18:45 time: 0.3286 data_time: 0.0421 memory: 9707 grad_norm: 1.2157 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1984 loss: 0.1984 2022/08/05 17:27:22 - mmengine - INFO - Epoch(train) [153][120/161] lr: 5.8444e-02 eta: 1:18:38 time: 0.3177 data_time: 0.0419 memory: 9707 grad_norm: 1.1193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1299 loss: 0.1299 2022/08/05 17:27:28 - mmengine - INFO - Epoch(train) [153][140/161] lr: 5.8297e-02 eta: 1:18:31 time: 0.3189 data_time: 0.0423 memory: 9707 grad_norm: 1.1748 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1514 loss: 0.1514 2022/08/05 17:27:35 - mmengine - INFO - Epoch(train) [153][160/161] lr: 5.8149e-02 eta: 1:18:24 time: 0.3126 data_time: 0.0413 memory: 9707 grad_norm: 1.2186 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2179 loss: 0.2179 2022/08/05 17:27:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:27:35 - mmengine - INFO - Epoch(train) [153][161/161] lr: 5.8141e-02 eta: 1:18:24 time: 0.3021 data_time: 0.0410 memory: 652 grad_norm: 1.3515 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4467 loss: 0.4467 2022/08/05 17:27:44 - mmengine - INFO - Epoch(train) [154][20/161] lr: 5.7994e-02 eta: 1:18:19 time: 0.4640 data_time: 0.1484 memory: 9707 grad_norm: 1.1235 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1578 loss: 0.1578 2022/08/05 17:27:50 - mmengine - INFO - Epoch(train) [154][40/161] lr: 5.7846e-02 eta: 1:18:12 time: 0.3186 data_time: 0.0409 memory: 9707 grad_norm: 1.1231 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1564 loss: 0.1564 2022/08/05 17:27:57 - mmengine - INFO - Epoch(train) [154][60/161] lr: 5.7699e-02 eta: 1:18:05 time: 0.3356 data_time: 0.0387 memory: 9707 grad_norm: 1.1404 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1238 loss: 0.1238 2022/08/05 17:28:04 - mmengine - INFO - Epoch(train) [154][80/161] lr: 5.7552e-02 eta: 1:17:58 time: 0.3175 data_time: 0.0414 memory: 9707 grad_norm: 1.1930 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1530 loss: 0.1530 2022/08/05 17:28:10 - mmengine - INFO - Epoch(train) [154][100/161] lr: 5.7404e-02 eta: 1:17:51 time: 0.3197 data_time: 0.0433 memory: 9707 grad_norm: 1.2559 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1911 loss: 0.1911 2022/08/05 17:28:17 - mmengine - INFO - Epoch(train) [154][120/161] lr: 5.7257e-02 eta: 1:17:44 time: 0.3399 data_time: 0.0433 memory: 9707 grad_norm: 1.1227 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1313 loss: 0.1313 2022/08/05 17:28:23 - mmengine - INFO - Epoch(train) [154][140/161] lr: 5.7110e-02 eta: 1:17:37 time: 0.3152 data_time: 0.0422 memory: 9707 grad_norm: 1.1944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1588 loss: 0.1588 2022/08/05 17:28:29 - mmengine - INFO - Epoch(train) [154][160/161] lr: 5.6964e-02 eta: 1:17:30 time: 0.2933 data_time: 0.0385 memory: 9707 grad_norm: 1.1257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1604 loss: 0.1604 2022/08/05 17:28:29 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:28:29 - mmengine - INFO - Epoch(train) [154][161/161] lr: 5.6956e-02 eta: 1:17:30 time: 0.2830 data_time: 0.0366 memory: 652 grad_norm: 1.3197 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4604 loss: 0.4604 2022/08/05 17:28:38 - mmengine - INFO - Epoch(train) [155][20/161] lr: 5.6810e-02 eta: 1:17:24 time: 0.4620 data_time: 0.1457 memory: 9707 grad_norm: 1.3499 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2052 loss: 0.2052 2022/08/05 17:28:45 - mmengine - INFO - Epoch(train) [155][40/161] lr: 5.6663e-02 eta: 1:17:18 time: 0.3542 data_time: 0.0437 memory: 9707 grad_norm: 1.3380 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2231 loss: 0.2231 2022/08/05 17:28:52 - mmengine - INFO - Epoch(train) [155][60/161] lr: 5.6516e-02 eta: 1:17:11 time: 0.3118 data_time: 0.0416 memory: 9707 grad_norm: 1.1614 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1814 loss: 0.1814 2022/08/05 17:28:58 - mmengine - INFO - Epoch(train) [155][80/161] lr: 5.6370e-02 eta: 1:17:04 time: 0.3190 data_time: 0.0397 memory: 9707 grad_norm: 1.1790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1503 loss: 0.1503 2022/08/05 17:29:04 - mmengine - INFO - Epoch(train) [155][100/161] lr: 5.6224e-02 eta: 1:16:57 time: 0.3186 data_time: 0.0409 memory: 9707 grad_norm: 1.2484 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2539 loss: 0.2539 2022/08/05 17:29:11 - mmengine - INFO - Epoch(train) [155][120/161] lr: 5.6078e-02 eta: 1:16:50 time: 0.3147 data_time: 0.0382 memory: 9707 grad_norm: 1.1947 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.1388 loss: 0.1388 2022/08/05 17:29:17 - mmengine - INFO - Epoch(train) [155][140/161] lr: 5.5932e-02 eta: 1:16:43 time: 0.3208 data_time: 0.0399 memory: 9707 grad_norm: 1.2386 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1730 loss: 0.1730 2022/08/05 17:29:23 - mmengine - INFO - Epoch(train) [155][160/161] lr: 5.5786e-02 eta: 1:16:36 time: 0.2939 data_time: 0.0386 memory: 9707 grad_norm: 1.1911 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1638 loss: 0.1638 2022/08/05 17:29:23 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:29:23 - mmengine - INFO - Epoch(train) [155][161/161] lr: 5.5778e-02 eta: 1:16:36 time: 0.2852 data_time: 0.0372 memory: 652 grad_norm: 1.3681 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.5021 loss: 0.5021 2022/08/05 17:29:33 - mmengine - INFO - Epoch(train) [156][20/161] lr: 5.5633e-02 eta: 1:16:30 time: 0.4669 data_time: 0.1338 memory: 9707 grad_norm: 1.1313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1786 loss: 0.1786 2022/08/05 17:29:39 - mmengine - INFO - Epoch(train) [156][40/161] lr: 5.5487e-02 eta: 1:16:23 time: 0.3191 data_time: 0.0415 memory: 9707 grad_norm: 1.1769 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1610 loss: 0.1610 2022/08/05 17:29:41 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:29:45 - mmengine - INFO - Epoch(train) [156][60/161] lr: 5.5341e-02 eta: 1:16:17 time: 0.3225 data_time: 0.0435 memory: 9707 grad_norm: 1.3588 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1747 loss: 0.1747 2022/08/05 17:29:52 - mmengine - INFO - Epoch(train) [156][80/161] lr: 5.5196e-02 eta: 1:16:10 time: 0.3157 data_time: 0.0418 memory: 9707 grad_norm: 1.1892 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1601 loss: 0.1601 2022/08/05 17:29:58 - mmengine - INFO - Epoch(train) [156][100/161] lr: 5.5051e-02 eta: 1:16:03 time: 0.3185 data_time: 0.0408 memory: 9707 grad_norm: 1.0856 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1237 loss: 0.1237 2022/08/05 17:30:04 - mmengine - INFO - Epoch(train) [156][120/161] lr: 5.4905e-02 eta: 1:15:56 time: 0.3206 data_time: 0.0475 memory: 9707 grad_norm: 1.2662 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1480 loss: 0.1480 2022/08/05 17:30:11 - mmengine - INFO - Epoch(train) [156][140/161] lr: 5.4760e-02 eta: 1:15:49 time: 0.3196 data_time: 0.0446 memory: 9707 grad_norm: 1.2820 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1264 loss: 0.1264 2022/08/05 17:30:17 - mmengine - INFO - Epoch(train) [156][160/161] lr: 5.4615e-02 eta: 1:15:42 time: 0.3003 data_time: 0.0426 memory: 9707 grad_norm: 1.2421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1589 loss: 0.1589 2022/08/05 17:30:17 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:30:17 - mmengine - INFO - Epoch(train) [156][161/161] lr: 5.4608e-02 eta: 1:15:42 time: 0.2883 data_time: 0.0411 memory: 652 grad_norm: 1.4168 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2043 loss: 0.2043 2022/08/05 17:30:26 - mmengine - INFO - Epoch(train) [157][20/161] lr: 5.4463e-02 eta: 1:15:36 time: 0.4715 data_time: 0.1371 memory: 9707 grad_norm: 1.1828 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1581 loss: 0.1581 2022/08/05 17:30:33 - mmengine - INFO - Epoch(train) [157][40/161] lr: 5.4319e-02 eta: 1:15:29 time: 0.3178 data_time: 0.0439 memory: 9707 grad_norm: 1.2469 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1964 loss: 0.1964 2022/08/05 17:30:39 - mmengine - INFO - Epoch(train) [157][60/161] lr: 5.4174e-02 eta: 1:15:22 time: 0.3228 data_time: 0.0444 memory: 9707 grad_norm: 1.2838 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1652 loss: 0.1652 2022/08/05 17:30:46 - mmengine - INFO - Epoch(train) [157][80/161] lr: 5.4030e-02 eta: 1:15:15 time: 0.3183 data_time: 0.0395 memory: 9707 grad_norm: 1.2314 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1827 loss: 0.1827 2022/08/05 17:30:52 - mmengine - INFO - Epoch(train) [157][100/161] lr: 5.3885e-02 eta: 1:15:08 time: 0.3161 data_time: 0.0438 memory: 9707 grad_norm: 1.3107 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2461 loss: 0.2461 2022/08/05 17:30:58 - mmengine - INFO - Epoch(train) [157][120/161] lr: 5.3741e-02 eta: 1:15:02 time: 0.3180 data_time: 0.0433 memory: 9707 grad_norm: 1.2910 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.1997 loss: 0.1997 2022/08/05 17:31:05 - mmengine - INFO - Epoch(train) [157][140/161] lr: 5.3597e-02 eta: 1:14:55 time: 0.3184 data_time: 0.0372 memory: 9707 grad_norm: 1.3151 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2080 loss: 0.2080 2022/08/05 17:31:10 - mmengine - INFO - Epoch(train) [157][160/161] lr: 5.3453e-02 eta: 1:14:47 time: 0.2914 data_time: 0.0391 memory: 9707 grad_norm: 1.2638 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2005 loss: 0.2005 2022/08/05 17:31:11 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:31:11 - mmengine - INFO - Epoch(train) [157][161/161] lr: 5.3446e-02 eta: 1:14:47 time: 0.2787 data_time: 0.0347 memory: 652 grad_norm: 1.4348 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4187 loss: 0.4187 2022/08/05 17:31:20 - mmengine - INFO - Epoch(train) [158][20/161] lr: 5.3302e-02 eta: 1:14:42 time: 0.4754 data_time: 0.1527 memory: 9707 grad_norm: 1.1329 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1388 loss: 0.1388 2022/08/05 17:31:26 - mmengine - INFO - Epoch(train) [158][40/161] lr: 5.3158e-02 eta: 1:14:35 time: 0.3174 data_time: 0.0433 memory: 9707 grad_norm: 1.1493 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.1326 loss: 0.1326 2022/08/05 17:31:33 - mmengine - INFO - Epoch(train) [158][60/161] lr: 5.3015e-02 eta: 1:14:28 time: 0.3186 data_time: 0.0425 memory: 9707 grad_norm: 1.1932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1530 loss: 0.1530 2022/08/05 17:31:40 - mmengine - INFO - Epoch(train) [158][80/161] lr: 5.2871e-02 eta: 1:14:21 time: 0.3460 data_time: 0.0375 memory: 9707 grad_norm: 1.2512 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1615 loss: 0.1615 2022/08/05 17:31:46 - mmengine - INFO - Epoch(train) [158][100/161] lr: 5.2728e-02 eta: 1:14:14 time: 0.3188 data_time: 0.0395 memory: 9707 grad_norm: 1.2120 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1445 loss: 0.1445 2022/08/05 17:31:52 - mmengine - INFO - Epoch(train) [158][120/161] lr: 5.2584e-02 eta: 1:14:07 time: 0.3112 data_time: 0.0404 memory: 9707 grad_norm: 1.1942 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1362 loss: 0.1362 2022/08/05 17:31:59 - mmengine - INFO - Epoch(train) [158][140/161] lr: 5.2441e-02 eta: 1:14:00 time: 0.3173 data_time: 0.0404 memory: 9707 grad_norm: 1.0564 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1514 loss: 0.1514 2022/08/05 17:32:05 - mmengine - INFO - Epoch(train) [158][160/161] lr: 5.2298e-02 eta: 1:13:53 time: 0.2976 data_time: 0.0380 memory: 9707 grad_norm: 1.1971 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1982 loss: 0.1982 2022/08/05 17:32:05 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:32:05 - mmengine - INFO - Epoch(train) [158][161/161] lr: 5.2291e-02 eta: 1:13:53 time: 0.2890 data_time: 0.0365 memory: 652 grad_norm: 1.3897 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3564 loss: 0.3564 2022/08/05 17:32:14 - mmengine - INFO - Epoch(train) [159][20/161] lr: 5.2148e-02 eta: 1:13:47 time: 0.4595 data_time: 0.1388 memory: 9707 grad_norm: 1.2542 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2633 loss: 0.2633 2022/08/05 17:32:20 - mmengine - INFO - Epoch(train) [159][40/161] lr: 5.2006e-02 eta: 1:13:40 time: 0.3148 data_time: 0.0411 memory: 9707 grad_norm: 1.0603 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1883 loss: 0.1883 2022/08/05 17:32:27 - mmengine - INFO - Epoch(train) [159][60/161] lr: 5.1863e-02 eta: 1:13:34 time: 0.3363 data_time: 0.0410 memory: 9707 grad_norm: 1.2873 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1687 loss: 0.1687 2022/08/05 17:32:33 - mmengine - INFO - Epoch(train) [159][80/161] lr: 5.1721e-02 eta: 1:13:27 time: 0.3158 data_time: 0.0436 memory: 9707 grad_norm: 1.3510 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1735 loss: 0.1735 2022/08/05 17:32:40 - mmengine - INFO - Epoch(train) [159][100/161] lr: 5.1578e-02 eta: 1:13:20 time: 0.3142 data_time: 0.0391 memory: 9707 grad_norm: 1.2163 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1573 loss: 0.1573 2022/08/05 17:32:47 - mmengine - INFO - Epoch(train) [159][120/161] lr: 5.1436e-02 eta: 1:13:13 time: 0.3447 data_time: 0.0445 memory: 9707 grad_norm: 1.2829 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2374 loss: 0.2374 2022/08/05 17:32:53 - mmengine - INFO - Epoch(train) [159][140/161] lr: 5.1294e-02 eta: 1:13:06 time: 0.3145 data_time: 0.0421 memory: 9707 grad_norm: 1.1163 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1260 loss: 0.1260 2022/08/05 17:32:59 - mmengine - INFO - Epoch(train) [159][160/161] lr: 5.1152e-02 eta: 1:12:59 time: 0.2928 data_time: 0.0380 memory: 9707 grad_norm: 1.1262 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1289 loss: 0.1289 2022/08/05 17:32:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:32:59 - mmengine - INFO - Epoch(train) [159][161/161] lr: 5.1145e-02 eta: 1:12:59 time: 0.2814 data_time: 0.0358 memory: 652 grad_norm: 1.2834 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3426 loss: 0.3426 2022/08/05 17:33:08 - mmengine - INFO - Epoch(train) [160][20/161] lr: 5.1003e-02 eta: 1:12:53 time: 0.4695 data_time: 0.1536 memory: 9707 grad_norm: 1.1307 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1013 loss: 0.1013 2022/08/05 17:33:15 - mmengine - INFO - Epoch(train) [160][40/161] lr: 5.0861e-02 eta: 1:12:46 time: 0.3197 data_time: 0.0433 memory: 9707 grad_norm: 1.2740 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2257 loss: 0.2257 2022/08/05 17:33:21 - mmengine - INFO - Epoch(train) [160][60/161] lr: 5.0720e-02 eta: 1:12:40 time: 0.3237 data_time: 0.0520 memory: 9707 grad_norm: 1.3020 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1486 loss: 0.1486 2022/08/05 17:33:28 - mmengine - INFO - Epoch(train) [160][80/161] lr: 5.0578e-02 eta: 1:12:33 time: 0.3157 data_time: 0.0392 memory: 9707 grad_norm: 1.3138 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1412 loss: 0.1412 2022/08/05 17:33:34 - mmengine - INFO - Epoch(train) [160][100/161] lr: 5.0437e-02 eta: 1:12:26 time: 0.3202 data_time: 0.0385 memory: 9707 grad_norm: 1.1684 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1694 loss: 0.1694 2022/08/05 17:33:41 - mmengine - INFO - Epoch(train) [160][120/161] lr: 5.0296e-02 eta: 1:12:19 time: 0.3403 data_time: 0.0427 memory: 9707 grad_norm: 1.1974 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1833 loss: 0.1833 2022/08/05 17:33:47 - mmengine - INFO - Epoch(train) [160][140/161] lr: 5.0155e-02 eta: 1:12:12 time: 0.3152 data_time: 0.0376 memory: 9707 grad_norm: 1.3280 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1874 loss: 0.1874 2022/08/05 17:33:53 - mmengine - INFO - Epoch(train) [160][160/161] lr: 5.0014e-02 eta: 1:12:05 time: 0.2920 data_time: 0.0371 memory: 9707 grad_norm: 1.1512 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1671 loss: 0.1671 2022/08/05 17:33:53 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:33:53 - mmengine - INFO - Epoch(train) [160][161/161] lr: 5.0007e-02 eta: 1:12:05 time: 0.2812 data_time: 0.0345 memory: 652 grad_norm: 1.2965 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2964 loss: 0.2964 2022/08/05 17:33:53 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/08/05 17:34:04 - mmengine - INFO - Epoch(val) [160][20/67] eta: 0:00:20 time: 0.4283 data_time: 0.2462 memory: 1868 2022/08/05 17:34:10 - mmengine - INFO - Epoch(val) [160][40/67] eta: 0:00:07 time: 0.2884 data_time: 0.1102 memory: 1868 2022/08/05 17:34:14 - mmengine - INFO - Epoch(val) [160][60/67] eta: 0:00:01 time: 0.2253 data_time: 0.0836 memory: 1868 2022/08/05 17:34:16 - mmengine - INFO - Epoch(val) [160][67/67] acc/top1: 0.8777 acc/top5: 0.9930 acc/mean1: 0.8340 2022/08/05 17:34:25 - mmengine - INFO - Epoch(train) [161][20/161] lr: 4.9866e-02 eta: 1:11:59 time: 0.4606 data_time: 0.1475 memory: 9707 grad_norm: 1.2394 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1533 loss: 0.1533 2022/08/05 17:34:31 - mmengine - INFO - Epoch(train) [161][40/161] lr: 4.9726e-02 eta: 1:11:52 time: 0.3150 data_time: 0.0388 memory: 9707 grad_norm: 1.2395 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1534 loss: 0.1534 2022/08/05 17:34:38 - mmengine - INFO - Epoch(train) [161][60/161] lr: 4.9585e-02 eta: 1:11:45 time: 0.3196 data_time: 0.0434 memory: 9707 grad_norm: 1.0731 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1330 loss: 0.1330 2022/08/05 17:34:44 - mmengine - INFO - Epoch(train) [161][80/161] lr: 4.9445e-02 eta: 1:11:38 time: 0.3137 data_time: 0.0407 memory: 9707 grad_norm: 1.0290 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1804 loss: 0.1804 2022/08/05 17:34:50 - mmengine - INFO - Epoch(train) [161][100/161] lr: 4.9305e-02 eta: 1:11:31 time: 0.3216 data_time: 0.0448 memory: 9707 grad_norm: 1.0398 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1286 loss: 0.1286 2022/08/05 17:34:57 - mmengine - INFO - Epoch(train) [161][120/161] lr: 4.9164e-02 eta: 1:11:25 time: 0.3175 data_time: 0.0434 memory: 9707 grad_norm: 1.2630 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2016 loss: 0.2016 2022/08/05 17:35:03 - mmengine - INFO - Epoch(train) [161][140/161] lr: 4.9024e-02 eta: 1:11:18 time: 0.3198 data_time: 0.0444 memory: 9707 grad_norm: 1.1563 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1531 loss: 0.1531 2022/08/05 17:35:09 - mmengine - INFO - Epoch(train) [161][160/161] lr: 4.8885e-02 eta: 1:11:11 time: 0.2945 data_time: 0.0377 memory: 9707 grad_norm: 1.1878 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1592 loss: 0.1592 2022/08/05 17:35:09 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:35:09 - mmengine - INFO - Epoch(train) [161][161/161] lr: 4.8878e-02 eta: 1:11:11 time: 0.2844 data_time: 0.0391 memory: 652 grad_norm: 1.4109 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.3138 loss: 0.3138 2022/08/05 17:35:19 - mmengine - INFO - Epoch(train) [162][20/161] lr: 4.8738e-02 eta: 1:11:05 time: 0.4726 data_time: 0.1452 memory: 9707 grad_norm: 1.2852 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1787 loss: 0.1787 2022/08/05 17:35:25 - mmengine - INFO - Epoch(train) [162][40/161] lr: 4.8598e-02 eta: 1:10:58 time: 0.3323 data_time: 0.0418 memory: 9707 grad_norm: 1.2461 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1743 loss: 0.1743 2022/08/05 17:35:32 - mmengine - INFO - Epoch(train) [162][60/161] lr: 4.8459e-02 eta: 1:10:51 time: 0.3155 data_time: 0.0443 memory: 9707 grad_norm: 1.2545 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1720 loss: 0.1720 2022/08/05 17:35:38 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:35:38 - mmengine - INFO - Epoch(train) [162][80/161] lr: 4.8320e-02 eta: 1:10:44 time: 0.3210 data_time: 0.0385 memory: 9707 grad_norm: 1.3352 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1462 loss: 0.1462 2022/08/05 17:35:44 - mmengine - INFO - Epoch(train) [162][100/161] lr: 4.8181e-02 eta: 1:10:37 time: 0.3168 data_time: 0.0445 memory: 9707 grad_norm: 1.2096 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1632 loss: 0.1632 2022/08/05 17:35:51 - mmengine - INFO - Epoch(train) [162][120/161] lr: 4.8042e-02 eta: 1:10:30 time: 0.3149 data_time: 0.0419 memory: 9707 grad_norm: 1.1897 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1456 loss: 0.1456 2022/08/05 17:35:57 - mmengine - INFO - Epoch(train) [162][140/161] lr: 4.7903e-02 eta: 1:10:24 time: 0.3271 data_time: 0.0421 memory: 9707 grad_norm: 1.2287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1820 loss: 0.1820 2022/08/05 17:36:03 - mmengine - INFO - Epoch(train) [162][160/161] lr: 4.7764e-02 eta: 1:10:16 time: 0.2914 data_time: 0.0353 memory: 9707 grad_norm: 1.2255 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1681 loss: 0.1681 2022/08/05 17:36:03 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:36:03 - mmengine - INFO - Epoch(train) [162][161/161] lr: 4.7757e-02 eta: 1:10:16 time: 0.2819 data_time: 0.0366 memory: 652 grad_norm: 1.4445 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4252 loss: 0.4252 2022/08/05 17:36:12 - mmengine - INFO - Epoch(train) [163][20/161] lr: 4.7618e-02 eta: 1:10:10 time: 0.4593 data_time: 0.1468 memory: 9707 grad_norm: 1.2459 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1584 loss: 0.1584 2022/08/05 17:36:19 - mmengine - INFO - Epoch(train) [163][40/161] lr: 4.7480e-02 eta: 1:10:04 time: 0.3196 data_time: 0.0412 memory: 9707 grad_norm: 1.3157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1953 loss: 0.1953 2022/08/05 17:36:25 - mmengine - INFO - Epoch(train) [163][60/161] lr: 4.7342e-02 eta: 1:09:57 time: 0.3303 data_time: 0.0421 memory: 9707 grad_norm: 1.1077 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.2069 loss: 0.2069 2022/08/05 17:36:32 - mmengine - INFO - Epoch(train) [163][80/161] lr: 4.7204e-02 eta: 1:09:50 time: 0.3155 data_time: 0.0385 memory: 9707 grad_norm: 1.1153 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1222 loss: 0.1222 2022/08/05 17:36:38 - mmengine - INFO - Epoch(train) [163][100/161] lr: 4.7066e-02 eta: 1:09:43 time: 0.3210 data_time: 0.0438 memory: 9707 grad_norm: 1.0897 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1904 loss: 0.1904 2022/08/05 17:36:44 - mmengine - INFO - Epoch(train) [163][120/161] lr: 4.6928e-02 eta: 1:09:36 time: 0.3120 data_time: 0.0391 memory: 9707 grad_norm: 1.1752 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1624 loss: 0.1624 2022/08/05 17:36:51 - mmengine - INFO - Epoch(train) [163][140/161] lr: 4.6790e-02 eta: 1:09:29 time: 0.3176 data_time: 0.0424 memory: 9707 grad_norm: 1.2915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1474 loss: 0.1474 2022/08/05 17:36:57 - mmengine - INFO - Epoch(train) [163][160/161] lr: 4.6652e-02 eta: 1:09:22 time: 0.3152 data_time: 0.0376 memory: 9707 grad_norm: 1.2611 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1119 loss: 0.1119 2022/08/05 17:36:57 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:36:57 - mmengine - INFO - Epoch(train) [163][161/161] lr: 4.6645e-02 eta: 1:09:22 time: 0.3068 data_time: 0.0395 memory: 652 grad_norm: 1.4726 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4171 loss: 0.4171 2022/08/05 17:37:06 - mmengine - INFO - Epoch(train) [164][20/161] lr: 4.6508e-02 eta: 1:09:16 time: 0.4612 data_time: 0.1677 memory: 9707 grad_norm: 1.3589 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2097 loss: 0.2097 2022/08/05 17:37:13 - mmengine - INFO - Epoch(train) [164][40/161] lr: 4.6371e-02 eta: 1:09:09 time: 0.3124 data_time: 0.0381 memory: 9707 grad_norm: 1.2853 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2126 loss: 0.2126 2022/08/05 17:37:19 - mmengine - INFO - Epoch(train) [164][60/161] lr: 4.6233e-02 eta: 1:09:02 time: 0.3244 data_time: 0.0406 memory: 9707 grad_norm: 1.2038 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1742 loss: 0.1742 2022/08/05 17:37:25 - mmengine - INFO - Epoch(train) [164][80/161] lr: 4.6096e-02 eta: 1:08:56 time: 0.3168 data_time: 0.0358 memory: 9707 grad_norm: 1.1406 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1332 loss: 0.1332 2022/08/05 17:37:32 - mmengine - INFO - Epoch(train) [164][100/161] lr: 4.5960e-02 eta: 1:08:49 time: 0.3153 data_time: 0.0434 memory: 9707 grad_norm: 1.0959 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2015 loss: 0.2015 2022/08/05 17:37:38 - mmengine - INFO - Epoch(train) [164][120/161] lr: 4.5823e-02 eta: 1:08:42 time: 0.3236 data_time: 0.0395 memory: 9707 grad_norm: 1.2030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1582 loss: 0.1582 2022/08/05 17:37:45 - mmengine - INFO - Epoch(train) [164][140/161] lr: 4.5686e-02 eta: 1:08:35 time: 0.3163 data_time: 0.0397 memory: 9707 grad_norm: 1.1702 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1735 loss: 0.1735 2022/08/05 17:37:50 - mmengine - INFO - Epoch(train) [164][160/161] lr: 4.5550e-02 eta: 1:08:28 time: 0.2930 data_time: 0.0380 memory: 9707 grad_norm: 1.1611 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1210 loss: 0.1210 2022/08/05 17:37:51 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:37:51 - mmengine - INFO - Epoch(train) [164][161/161] lr: 4.5543e-02 eta: 1:08:28 time: 0.2824 data_time: 0.0390 memory: 652 grad_norm: 1.4196 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3476 loss: 0.3476 2022/08/05 17:38:00 - mmengine - INFO - Epoch(train) [165][20/161] lr: 4.5407e-02 eta: 1:08:22 time: 0.4717 data_time: 0.1447 memory: 9707 grad_norm: 1.1340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1294 loss: 0.1294 2022/08/05 17:38:06 - mmengine - INFO - Epoch(train) [165][40/161] lr: 4.5270e-02 eta: 1:08:15 time: 0.3197 data_time: 0.0414 memory: 9707 grad_norm: 1.0278 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1291 loss: 0.1291 2022/08/05 17:38:13 - mmengine - INFO - Epoch(train) [165][60/161] lr: 4.5134e-02 eta: 1:08:08 time: 0.3160 data_time: 0.0441 memory: 9707 grad_norm: 1.0750 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1325 loss: 0.1325 2022/08/05 17:38:19 - mmengine - INFO - Epoch(train) [165][80/161] lr: 4.4999e-02 eta: 1:08:01 time: 0.3192 data_time: 0.0394 memory: 9707 grad_norm: 1.1054 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1110 loss: 0.1110 2022/08/05 17:38:26 - mmengine - INFO - Epoch(train) [165][100/161] lr: 4.4863e-02 eta: 1:07:54 time: 0.3184 data_time: 0.0439 memory: 9707 grad_norm: 1.2199 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1754 loss: 0.1754 2022/08/05 17:38:32 - mmengine - INFO - Epoch(train) [165][120/161] lr: 4.4727e-02 eta: 1:07:47 time: 0.3191 data_time: 0.0445 memory: 9707 grad_norm: 1.1902 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1735 loss: 0.1735 2022/08/05 17:38:38 - mmengine - INFO - Epoch(train) [165][140/161] lr: 4.4592e-02 eta: 1:07:41 time: 0.3246 data_time: 0.0461 memory: 9707 grad_norm: 1.2499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1385 loss: 0.1385 2022/08/05 17:38:44 - mmengine - INFO - Epoch(train) [165][160/161] lr: 4.4456e-02 eta: 1:07:34 time: 0.2949 data_time: 0.0355 memory: 9707 grad_norm: 1.3406 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1988 loss: 0.1988 2022/08/05 17:38:44 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:38:44 - mmengine - INFO - Epoch(train) [165][161/161] lr: 4.4450e-02 eta: 1:07:34 time: 0.2842 data_time: 0.0382 memory: 652 grad_norm: 1.5715 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3839 loss: 0.3839 2022/08/05 17:38:54 - mmengine - INFO - Epoch(train) [166][20/161] lr: 4.4315e-02 eta: 1:07:28 time: 0.4622 data_time: 0.1564 memory: 9707 grad_norm: 1.2721 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1662 loss: 0.1662 2022/08/05 17:39:00 - mmengine - INFO - Epoch(train) [166][40/161] lr: 4.4180e-02 eta: 1:07:21 time: 0.3265 data_time: 0.0389 memory: 9707 grad_norm: 1.2239 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2134 loss: 0.2134 2022/08/05 17:39:07 - mmengine - INFO - Epoch(train) [166][60/161] lr: 4.4045e-02 eta: 1:07:14 time: 0.3190 data_time: 0.0410 memory: 9707 grad_norm: 1.1557 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1118 loss: 0.1118 2022/08/05 17:39:13 - mmengine - INFO - Epoch(train) [166][80/161] lr: 4.3910e-02 eta: 1:07:07 time: 0.3157 data_time: 0.0437 memory: 9707 grad_norm: 1.2558 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1010 loss: 0.1010 2022/08/05 17:39:20 - mmengine - INFO - Epoch(train) [166][100/161] lr: 4.3776e-02 eta: 1:07:00 time: 0.3305 data_time: 0.0427 memory: 9707 grad_norm: 1.1938 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1223 loss: 0.1223 2022/08/05 17:39:26 - mmengine - INFO - Epoch(train) [166][120/161] lr: 4.3641e-02 eta: 1:06:53 time: 0.3201 data_time: 0.0410 memory: 9707 grad_norm: 1.1325 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1240 loss: 0.1240 2022/08/05 17:39:32 - mmengine - INFO - Epoch(train) [166][140/161] lr: 4.3507e-02 eta: 1:06:46 time: 0.3186 data_time: 0.0435 memory: 9707 grad_norm: 1.4215 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1847 loss: 0.1847 2022/08/05 17:39:38 - mmengine - INFO - Epoch(train) [166][160/161] lr: 4.3373e-02 eta: 1:06:39 time: 0.3013 data_time: 0.0378 memory: 9707 grad_norm: 1.3073 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1421 loss: 0.1421 2022/08/05 17:39:38 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:39:38 - mmengine - INFO - Epoch(train) [166][161/161] lr: 4.3366e-02 eta: 1:06:39 time: 0.2925 data_time: 0.0406 memory: 652 grad_norm: 1.5506 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3966 loss: 0.3966 2022/08/05 17:39:48 - mmengine - INFO - Epoch(train) [167][20/161] lr: 4.3232e-02 eta: 1:06:33 time: 0.4741 data_time: 0.1436 memory: 9707 grad_norm: 1.2684 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1625 loss: 0.1625 2022/08/05 17:39:54 - mmengine - INFO - Epoch(train) [167][40/161] lr: 4.3098e-02 eta: 1:06:27 time: 0.3138 data_time: 0.0392 memory: 9707 grad_norm: 1.0918 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1708 loss: 0.1708 2022/08/05 17:40:01 - mmengine - INFO - Epoch(train) [167][60/161] lr: 4.2965e-02 eta: 1:06:20 time: 0.3249 data_time: 0.0434 memory: 9707 grad_norm: 1.0606 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1268 loss: 0.1268 2022/08/05 17:40:07 - mmengine - INFO - Epoch(train) [167][80/161] lr: 4.2831e-02 eta: 1:06:13 time: 0.3150 data_time: 0.0383 memory: 9707 grad_norm: 1.0498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1425 loss: 0.1425 2022/08/05 17:40:13 - mmengine - INFO - Epoch(train) [167][100/161] lr: 4.2698e-02 eta: 1:06:06 time: 0.3146 data_time: 0.0400 memory: 9707 grad_norm: 1.0865 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1230 loss: 0.1230 2022/08/05 17:40:20 - mmengine - INFO - Epoch(train) [167][120/161] lr: 4.2565e-02 eta: 1:05:59 time: 0.3210 data_time: 0.0429 memory: 9707 grad_norm: 1.2670 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1814 loss: 0.1814 2022/08/05 17:40:26 - mmengine - INFO - Epoch(train) [167][140/161] lr: 4.2432e-02 eta: 1:05:52 time: 0.3181 data_time: 0.0434 memory: 9707 grad_norm: 1.2429 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1798 loss: 0.1798 2022/08/05 17:40:32 - mmengine - INFO - Epoch(train) [167][160/161] lr: 4.2299e-02 eta: 1:05:45 time: 0.2945 data_time: 0.0393 memory: 9707 grad_norm: 1.1908 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0989 loss: 0.0989 2022/08/05 17:40:32 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:40:32 - mmengine - INFO - Epoch(train) [167][161/161] lr: 4.2292e-02 eta: 1:05:45 time: 0.2851 data_time: 0.0406 memory: 652 grad_norm: 1.3631 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3608 loss: 0.3608 2022/08/05 17:40:41 - mmengine - INFO - Epoch(train) [168][20/161] lr: 4.2159e-02 eta: 1:05:39 time: 0.4544 data_time: 0.1482 memory: 9707 grad_norm: 1.1892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1542 loss: 0.1542 2022/08/05 17:40:48 - mmengine - INFO - Epoch(train) [168][40/161] lr: 4.2027e-02 eta: 1:05:32 time: 0.3171 data_time: 0.0460 memory: 9707 grad_norm: 1.2970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1566 loss: 0.1566 2022/08/05 17:40:54 - mmengine - INFO - Epoch(train) [168][60/161] lr: 4.1894e-02 eta: 1:05:25 time: 0.3173 data_time: 0.0426 memory: 9707 grad_norm: 1.2509 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1758 loss: 0.1758 2022/08/05 17:41:01 - mmengine - INFO - Epoch(train) [168][80/161] lr: 4.1762e-02 eta: 1:05:19 time: 0.3524 data_time: 0.0440 memory: 9707 grad_norm: 1.1765 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1228 loss: 0.1228 2022/08/05 17:41:07 - mmengine - INFO - Epoch(train) [168][100/161] lr: 4.1630e-02 eta: 1:05:12 time: 0.3155 data_time: 0.0465 memory: 9707 grad_norm: 1.1683 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1201 loss: 0.1201 2022/08/05 17:41:12 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:41:14 - mmengine - INFO - Epoch(train) [168][120/161] lr: 4.1498e-02 eta: 1:05:05 time: 0.3185 data_time: 0.0425 memory: 9707 grad_norm: 1.0808 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1308 loss: 0.1308 2022/08/05 17:41:20 - mmengine - INFO - Epoch(train) [168][140/161] lr: 4.1366e-02 eta: 1:04:58 time: 0.3255 data_time: 0.0450 memory: 9707 grad_norm: 1.2440 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1105 loss: 0.1105 2022/08/05 17:41:26 - mmengine - INFO - Epoch(train) [168][160/161] lr: 4.1235e-02 eta: 1:04:51 time: 0.2917 data_time: 0.0384 memory: 9707 grad_norm: 1.3806 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1325 loss: 0.1325 2022/08/05 17:41:26 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:41:26 - mmengine - INFO - Epoch(train) [168][161/161] lr: 4.1228e-02 eta: 1:04:51 time: 0.2839 data_time: 0.0406 memory: 652 grad_norm: 1.5842 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4175 loss: 0.4175 2022/08/05 17:41:36 - mmengine - INFO - Epoch(train) [169][20/161] lr: 4.1097e-02 eta: 1:04:45 time: 0.4641 data_time: 0.1425 memory: 9707 grad_norm: 1.2970 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2034 loss: 0.2034 2022/08/05 17:41:42 - mmengine - INFO - Epoch(train) [169][40/161] lr: 4.0965e-02 eta: 1:04:38 time: 0.3128 data_time: 0.0376 memory: 9707 grad_norm: 1.2202 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1476 loss: 0.1476 2022/08/05 17:41:48 - mmengine - INFO - Epoch(train) [169][60/161] lr: 4.0834e-02 eta: 1:04:31 time: 0.3188 data_time: 0.0424 memory: 9707 grad_norm: 1.2355 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1385 loss: 0.1385 2022/08/05 17:41:55 - mmengine - INFO - Epoch(train) [169][80/161] lr: 4.0703e-02 eta: 1:04:24 time: 0.3176 data_time: 0.0436 memory: 9707 grad_norm: 1.2523 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1088 loss: 0.1088 2022/08/05 17:42:01 - mmengine - INFO - Epoch(train) [169][100/161] lr: 4.0572e-02 eta: 1:04:17 time: 0.3241 data_time: 0.0411 memory: 9707 grad_norm: 1.1348 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1664 loss: 0.1664 2022/08/05 17:42:07 - mmengine - INFO - Epoch(train) [169][120/161] lr: 4.0441e-02 eta: 1:04:11 time: 0.3185 data_time: 0.0451 memory: 9707 grad_norm: 1.1409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1504 loss: 0.1504 2022/08/05 17:42:14 - mmengine - INFO - Epoch(train) [169][140/161] lr: 4.0311e-02 eta: 1:04:04 time: 0.3157 data_time: 0.0449 memory: 9707 grad_norm: 1.3378 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1264 loss: 0.1264 2022/08/05 17:42:20 - mmengine - INFO - Epoch(train) [169][160/161] lr: 4.0181e-02 eta: 1:03:57 time: 0.3047 data_time: 0.0403 memory: 9707 grad_norm: 1.4554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1409 loss: 0.1409 2022/08/05 17:42:20 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:42:20 - mmengine - INFO - Epoch(train) [169][161/161] lr: 4.0174e-02 eta: 1:03:57 time: 0.2946 data_time: 0.0413 memory: 652 grad_norm: 1.6422 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3542 loss: 0.3542 2022/08/05 17:42:29 - mmengine - INFO - Epoch(train) [170][20/161] lr: 4.0044e-02 eta: 1:03:51 time: 0.4719 data_time: 0.1439 memory: 9707 grad_norm: 1.2885 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1698 loss: 0.1698 2022/08/05 17:42:36 - mmengine - INFO - Epoch(train) [170][40/161] lr: 3.9914e-02 eta: 1:03:44 time: 0.3222 data_time: 0.0399 memory: 9707 grad_norm: 1.1457 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1591 loss: 0.1591 2022/08/05 17:42:42 - mmengine - INFO - Epoch(train) [170][60/161] lr: 3.9784e-02 eta: 1:03:37 time: 0.3164 data_time: 0.0440 memory: 9707 grad_norm: 1.1771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1290 loss: 0.1290 2022/08/05 17:42:48 - mmengine - INFO - Epoch(train) [170][80/161] lr: 3.9654e-02 eta: 1:03:30 time: 0.3155 data_time: 0.0406 memory: 9707 grad_norm: 1.2663 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1661 loss: 0.1661 2022/08/05 17:42:55 - mmengine - INFO - Epoch(train) [170][100/161] lr: 3.9525e-02 eta: 1:03:23 time: 0.3156 data_time: 0.0415 memory: 9707 grad_norm: 1.3206 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1211 loss: 0.1211 2022/08/05 17:43:01 - mmengine - INFO - Epoch(train) [170][120/161] lr: 3.9395e-02 eta: 1:03:16 time: 0.3230 data_time: 0.0416 memory: 9707 grad_norm: 1.2824 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1657 loss: 0.1657 2022/08/05 17:43:08 - mmengine - INFO - Epoch(train) [170][140/161] lr: 3.9266e-02 eta: 1:03:10 time: 0.3190 data_time: 0.0425 memory: 9707 grad_norm: 1.2663 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1536 loss: 0.1536 2022/08/05 17:43:13 - mmengine - INFO - Epoch(train) [170][160/161] lr: 3.9137e-02 eta: 1:03:03 time: 0.2922 data_time: 0.0339 memory: 9707 grad_norm: 1.1158 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1262 loss: 0.1262 2022/08/05 17:43:14 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:43:14 - mmengine - INFO - Epoch(train) [170][161/161] lr: 3.9130e-02 eta: 1:03:03 time: 0.2812 data_time: 0.0350 memory: 652 grad_norm: 1.3017 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3387 loss: 0.3387 2022/08/05 17:43:14 - mmengine - INFO - Saving checkpoint at 170 epochs 2022/08/05 17:43:25 - mmengine - INFO - Epoch(val) [170][20/67] eta: 0:00:20 time: 0.4314 data_time: 0.2488 memory: 1868 2022/08/05 17:43:31 - mmengine - INFO - Epoch(val) [170][40/67] eta: 0:00:07 time: 0.2918 data_time: 0.1167 memory: 1868 2022/08/05 17:43:35 - mmengine - INFO - Epoch(val) [170][60/67] eta: 0:00:01 time: 0.2026 data_time: 0.0625 memory: 1868 2022/08/05 17:43:37 - mmengine - INFO - Epoch(val) [170][67/67] acc/top1: 0.9076 acc/top5: 0.9937 acc/mean1: 0.8564 2022/08/05 17:43:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_gym_limb/best_acc/top1_epoch_151.pth is removed 2022/08/05 17:43:39 - mmengine - INFO - The best checkpoint with 0.9076 acc/top1 at 171 epoch is saved to best_acc/top1_epoch_171.pth. 2022/08/05 17:43:48 - mmengine - INFO - Epoch(train) [171][20/161] lr: 3.9001e-02 eta: 1:02:56 time: 0.4217 data_time: 0.1560 memory: 9707 grad_norm: 1.2243 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1096 loss: 0.1096 2022/08/05 17:43:54 - mmengine - INFO - Epoch(train) [171][40/161] lr: 3.8873e-02 eta: 1:02:49 time: 0.3159 data_time: 0.0427 memory: 9707 grad_norm: 1.1259 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1305 loss: 0.1305 2022/08/05 17:44:00 - mmengine - INFO - Epoch(train) [171][60/161] lr: 3.8744e-02 eta: 1:02:42 time: 0.3170 data_time: 0.0463 memory: 9707 grad_norm: 1.1706 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1271 loss: 0.1271 2022/08/05 17:44:07 - mmengine - INFO - Epoch(train) [171][80/161] lr: 3.8616e-02 eta: 1:02:35 time: 0.3183 data_time: 0.0417 memory: 9707 grad_norm: 1.2646 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1059 loss: 0.1059 2022/08/05 17:44:13 - mmengine - INFO - Epoch(train) [171][100/161] lr: 3.8487e-02 eta: 1:02:29 time: 0.3126 data_time: 0.0409 memory: 9707 grad_norm: 1.2297 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1279 loss: 0.1279 2022/08/05 17:44:20 - mmengine - INFO - Epoch(train) [171][120/161] lr: 3.8359e-02 eta: 1:02:22 time: 0.3225 data_time: 0.0436 memory: 9707 grad_norm: 1.2415 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1331 loss: 0.1331 2022/08/05 17:44:26 - mmengine - INFO - Epoch(train) [171][140/161] lr: 3.8231e-02 eta: 1:02:15 time: 0.3157 data_time: 0.0406 memory: 9707 grad_norm: 1.1382 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1081 loss: 0.1081 2022/08/05 17:44:32 - mmengine - INFO - Epoch(train) [171][160/161] lr: 3.8103e-02 eta: 1:02:08 time: 0.2941 data_time: 0.0388 memory: 9707 grad_norm: 1.1425 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1362 loss: 0.1362 2022/08/05 17:44:32 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:44:32 - mmengine - INFO - Epoch(train) [171][161/161] lr: 3.8097e-02 eta: 1:02:08 time: 0.2817 data_time: 0.0366 memory: 652 grad_norm: 1.3970 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.2758 loss: 0.2758 2022/08/05 17:44:41 - mmengine - INFO - Epoch(train) [172][20/161] lr: 3.7969e-02 eta: 1:02:02 time: 0.4622 data_time: 0.1565 memory: 9707 grad_norm: 1.2102 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1228 loss: 0.1228 2022/08/05 17:44:47 - mmengine - INFO - Epoch(train) [172][40/161] lr: 3.7842e-02 eta: 1:01:55 time: 0.3189 data_time: 0.0427 memory: 9707 grad_norm: 0.9799 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0947 loss: 0.0947 2022/08/05 17:44:54 - mmengine - INFO - Epoch(train) [172][60/161] lr: 3.7715e-02 eta: 1:01:48 time: 0.3116 data_time: 0.0407 memory: 9707 grad_norm: 1.0584 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1283 loss: 0.1283 2022/08/05 17:45:00 - mmengine - INFO - Epoch(train) [172][80/161] lr: 3.7587e-02 eta: 1:01:41 time: 0.3220 data_time: 0.0447 memory: 9707 grad_norm: 1.1397 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0979 loss: 0.0979 2022/08/05 17:45:07 - mmengine - INFO - Epoch(train) [172][100/161] lr: 3.7461e-02 eta: 1:01:34 time: 0.3168 data_time: 0.0415 memory: 9707 grad_norm: 1.1825 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1876 loss: 0.1876 2022/08/05 17:45:13 - mmengine - INFO - Epoch(train) [172][120/161] lr: 3.7334e-02 eta: 1:01:27 time: 0.3174 data_time: 0.0462 memory: 9707 grad_norm: 1.2878 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1206 loss: 0.1206 2022/08/05 17:45:19 - mmengine - INFO - Epoch(train) [172][140/161] lr: 3.7207e-02 eta: 1:01:21 time: 0.3201 data_time: 0.0424 memory: 9707 grad_norm: 1.2115 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1645 loss: 0.1645 2022/08/05 17:45:25 - mmengine - INFO - Epoch(train) [172][160/161] lr: 3.7081e-02 eta: 1:01:13 time: 0.2936 data_time: 0.0388 memory: 9707 grad_norm: 1.1860 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0916 loss: 0.0916 2022/08/05 17:45:25 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:45:25 - mmengine - INFO - Epoch(train) [172][161/161] lr: 3.7074e-02 eta: 1:01:13 time: 0.2809 data_time: 0.0365 memory: 652 grad_norm: 1.4115 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3165 loss: 0.3165 2022/08/05 17:45:34 - mmengine - INFO - Epoch(train) [173][20/161] lr: 3.6948e-02 eta: 1:01:07 time: 0.4593 data_time: 0.1505 memory: 9707 grad_norm: 1.1830 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1746 loss: 0.1746 2022/08/05 17:45:41 - mmengine - INFO - Epoch(train) [173][40/161] lr: 3.6822e-02 eta: 1:01:00 time: 0.3223 data_time: 0.0417 memory: 9707 grad_norm: 1.2349 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1135 loss: 0.1135 2022/08/05 17:45:47 - mmengine - INFO - Epoch(train) [173][60/161] lr: 3.6696e-02 eta: 1:00:54 time: 0.3191 data_time: 0.0427 memory: 9707 grad_norm: 1.2615 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0994 loss: 0.0994 2022/08/05 17:45:54 - mmengine - INFO - Epoch(train) [173][80/161] lr: 3.6570e-02 eta: 1:00:47 time: 0.3140 data_time: 0.0404 memory: 9707 grad_norm: 1.0871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1028 loss: 0.1028 2022/08/05 17:46:00 - mmengine - INFO - Epoch(train) [173][100/161] lr: 3.6444e-02 eta: 1:00:40 time: 0.3229 data_time: 0.0410 memory: 9707 grad_norm: 1.1509 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1043 loss: 0.1043 2022/08/05 17:46:06 - mmengine - INFO - Epoch(train) [173][120/161] lr: 3.6319e-02 eta: 1:00:33 time: 0.3187 data_time: 0.0452 memory: 9707 grad_norm: 1.1860 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1114 loss: 0.1114 2022/08/05 17:46:13 - mmengine - INFO - Epoch(train) [173][140/161] lr: 3.6194e-02 eta: 1:00:26 time: 0.3204 data_time: 0.0472 memory: 9707 grad_norm: 1.2957 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1480 loss: 0.1480 2022/08/05 17:46:19 - mmengine - INFO - Epoch(train) [173][160/161] lr: 3.6069e-02 eta: 1:00:19 time: 0.3009 data_time: 0.0427 memory: 9707 grad_norm: 1.2216 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0847 loss: 0.0847 2022/08/05 17:46:19 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:46:19 - mmengine - INFO - Epoch(train) [173][161/161] lr: 3.6062e-02 eta: 1:00:19 time: 0.2884 data_time: 0.0416 memory: 652 grad_norm: 1.4552 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2981 loss: 0.2981 2022/08/05 17:46:28 - mmengine - INFO - Epoch(train) [174][20/161] lr: 3.5937e-02 eta: 1:00:13 time: 0.4665 data_time: 0.1356 memory: 9707 grad_norm: 1.2529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1229 loss: 0.1229 2022/08/05 17:46:35 - mmengine - INFO - Epoch(train) [174][40/161] lr: 3.5813e-02 eta: 1:00:06 time: 0.3130 data_time: 0.0409 memory: 9707 grad_norm: 1.1769 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0911 loss: 0.0911 2022/08/05 17:46:41 - mmengine - INFO - Epoch(train) [174][60/161] lr: 3.5688e-02 eta: 0:59:59 time: 0.3215 data_time: 0.0404 memory: 9707 grad_norm: 1.0677 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1163 loss: 0.1163 2022/08/05 17:46:47 - mmengine - INFO - Epoch(train) [174][80/161] lr: 3.5564e-02 eta: 0:59:53 time: 0.3163 data_time: 0.0442 memory: 9707 grad_norm: 1.1804 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1348 loss: 0.1348 2022/08/05 17:46:54 - mmengine - INFO - Epoch(train) [174][100/161] lr: 3.5439e-02 eta: 0:59:46 time: 0.3161 data_time: 0.0394 memory: 9707 grad_norm: 0.9353 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1114 loss: 0.1114 2022/08/05 17:47:00 - mmengine - INFO - Epoch(train) [174][120/161] lr: 3.5315e-02 eta: 0:59:39 time: 0.3346 data_time: 0.0463 memory: 9707 grad_norm: 1.1497 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0590 loss: 0.0590 2022/08/05 17:47:07 - mmengine - INFO - Epoch(train) [174][140/161] lr: 3.5191e-02 eta: 0:59:32 time: 0.3187 data_time: 0.0410 memory: 9707 grad_norm: 1.2120 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0930 loss: 0.0930 2022/08/05 17:47:09 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:47:13 - mmengine - INFO - Epoch(train) [174][160/161] lr: 3.5068e-02 eta: 0:59:25 time: 0.2947 data_time: 0.0416 memory: 9707 grad_norm: 1.3720 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1217 loss: 0.1217 2022/08/05 17:47:13 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:47:13 - mmengine - INFO - Epoch(train) [174][161/161] lr: 3.5061e-02 eta: 0:59:25 time: 0.2822 data_time: 0.0386 memory: 652 grad_norm: 1.5691 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.4057 loss: 0.4057 2022/08/05 17:47:22 - mmengine - INFO - Epoch(train) [175][20/161] lr: 3.4938e-02 eta: 0:59:19 time: 0.4646 data_time: 0.1564 memory: 9707 grad_norm: 1.0439 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1137 loss: 0.1137 2022/08/05 17:47:28 - mmengine - INFO - Epoch(train) [175][40/161] lr: 3.4814e-02 eta: 0:59:12 time: 0.3205 data_time: 0.0453 memory: 9707 grad_norm: 1.2108 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1088 loss: 0.1088 2022/08/05 17:47:35 - mmengine - INFO - Epoch(train) [175][60/161] lr: 3.4691e-02 eta: 0:59:05 time: 0.3109 data_time: 0.0375 memory: 9707 grad_norm: 1.1391 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0917 loss: 0.0917 2022/08/05 17:47:41 - mmengine - INFO - Epoch(train) [175][80/161] lr: 3.4568e-02 eta: 0:58:58 time: 0.3175 data_time: 0.0419 memory: 9707 grad_norm: 1.2220 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1250 loss: 0.1250 2022/08/05 17:47:48 - mmengine - INFO - Epoch(train) [175][100/161] lr: 3.4445e-02 eta: 0:58:52 time: 0.3293 data_time: 0.0416 memory: 9707 grad_norm: 1.2546 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1132 loss: 0.1132 2022/08/05 17:47:54 - mmengine - INFO - Epoch(train) [175][120/161] lr: 3.4323e-02 eta: 0:58:45 time: 0.3151 data_time: 0.0444 memory: 9707 grad_norm: 1.1487 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1288 loss: 0.1288 2022/08/05 17:48:02 - mmengine - INFO - Epoch(train) [175][140/161] lr: 3.4200e-02 eta: 0:58:38 time: 0.3827 data_time: 0.0936 memory: 9707 grad_norm: 1.2276 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1009 loss: 0.1009 2022/08/05 17:48:08 - mmengine - INFO - Epoch(train) [175][160/161] lr: 3.4078e-02 eta: 0:58:32 time: 0.3224 data_time: 0.0426 memory: 9707 grad_norm: 1.2223 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1369 loss: 0.1369 2022/08/05 17:48:08 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:48:08 - mmengine - INFO - Epoch(train) [175][161/161] lr: 3.4072e-02 eta: 0:58:32 time: 0.3095 data_time: 0.0391 memory: 652 grad_norm: 1.4554 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2523 loss: 0.2523 2022/08/05 17:48:18 - mmengine - INFO - Epoch(train) [176][20/161] lr: 3.3949e-02 eta: 0:58:25 time: 0.4755 data_time: 0.1287 memory: 9707 grad_norm: 1.2347 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1079 loss: 0.1079 2022/08/05 17:48:24 - mmengine - INFO - Epoch(train) [176][40/161] lr: 3.3827e-02 eta: 0:58:19 time: 0.3160 data_time: 0.0425 memory: 9707 grad_norm: 1.1324 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1322 loss: 0.1322 2022/08/05 17:48:31 - mmengine - INFO - Epoch(train) [176][60/161] lr: 3.3706e-02 eta: 0:58:12 time: 0.3353 data_time: 0.0362 memory: 9707 grad_norm: 1.0216 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0936 loss: 0.0936 2022/08/05 17:48:37 - mmengine - INFO - Epoch(train) [176][80/161] lr: 3.3584e-02 eta: 0:58:05 time: 0.3208 data_time: 0.0433 memory: 9707 grad_norm: 1.3635 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1318 loss: 0.1318 2022/08/05 17:48:43 - mmengine - INFO - Epoch(train) [176][100/161] lr: 3.3462e-02 eta: 0:57:58 time: 0.3133 data_time: 0.0386 memory: 9707 grad_norm: 1.2610 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1252 loss: 0.1252 2022/08/05 17:48:50 - mmengine - INFO - Epoch(train) [176][120/161] lr: 3.3341e-02 eta: 0:57:51 time: 0.3291 data_time: 0.0428 memory: 9707 grad_norm: 1.3749 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1538 loss: 0.1538 2022/08/05 17:48:56 - mmengine - INFO - Epoch(train) [176][140/161] lr: 3.3220e-02 eta: 0:57:44 time: 0.3140 data_time: 0.0407 memory: 9707 grad_norm: 1.5681 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1929 loss: 0.1929 2022/08/05 17:49:02 - mmengine - INFO - Epoch(train) [176][160/161] lr: 3.3099e-02 eta: 0:57:37 time: 0.2918 data_time: 0.0370 memory: 9707 grad_norm: 1.3209 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1642 loss: 0.1642 2022/08/05 17:49:02 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:49:02 - mmengine - INFO - Epoch(train) [176][161/161] lr: 3.3093e-02 eta: 0:57:37 time: 0.2795 data_time: 0.0337 memory: 652 grad_norm: 1.5069 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3771 loss: 0.3771 2022/08/05 17:49:11 - mmengine - INFO - Epoch(train) [177][20/161] lr: 3.2972e-02 eta: 0:57:31 time: 0.4637 data_time: 0.1566 memory: 9707 grad_norm: 1.1952 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1088 loss: 0.1088 2022/08/05 17:49:18 - mmengine - INFO - Epoch(train) [177][40/161] lr: 3.2852e-02 eta: 0:57:24 time: 0.3158 data_time: 0.0410 memory: 9707 grad_norm: 1.1569 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1301 loss: 0.1301 2022/08/05 17:49:24 - mmengine - INFO - Epoch(train) [177][60/161] lr: 3.2731e-02 eta: 0:57:17 time: 0.3113 data_time: 0.0416 memory: 9707 grad_norm: 1.0439 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1200 loss: 0.1200 2022/08/05 17:49:30 - mmengine - INFO - Epoch(train) [177][80/161] lr: 3.2611e-02 eta: 0:57:11 time: 0.3190 data_time: 0.0466 memory: 9707 grad_norm: 1.3732 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1751 loss: 0.1751 2022/08/05 17:49:37 - mmengine - INFO - Epoch(train) [177][100/161] lr: 3.2491e-02 eta: 0:57:04 time: 0.3209 data_time: 0.0426 memory: 9707 grad_norm: 1.2849 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1201 loss: 0.1201 2022/08/05 17:49:43 - mmengine - INFO - Epoch(train) [177][120/161] lr: 3.2371e-02 eta: 0:56:57 time: 0.3137 data_time: 0.0411 memory: 9707 grad_norm: 1.1210 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1157 loss: 0.1157 2022/08/05 17:49:50 - mmengine - INFO - Epoch(train) [177][140/161] lr: 3.2251e-02 eta: 0:56:50 time: 0.3292 data_time: 0.0421 memory: 9707 grad_norm: 1.2921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1600 loss: 0.1600 2022/08/05 17:49:56 - mmengine - INFO - Epoch(train) [177][160/161] lr: 3.2132e-02 eta: 0:56:43 time: 0.2930 data_time: 0.0401 memory: 9707 grad_norm: 1.2941 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1003 loss: 0.1003 2022/08/05 17:49:56 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:49:56 - mmengine - INFO - Epoch(train) [177][161/161] lr: 3.2126e-02 eta: 0:56:43 time: 0.2801 data_time: 0.0372 memory: 652 grad_norm: 1.4795 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3044 loss: 0.3044 2022/08/05 17:50:05 - mmengine - INFO - Epoch(train) [178][20/161] lr: 3.2007e-02 eta: 0:56:37 time: 0.4641 data_time: 0.1414 memory: 9707 grad_norm: 1.1147 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1210 loss: 0.1210 2022/08/05 17:50:11 - mmengine - INFO - Epoch(train) [178][40/161] lr: 3.1887e-02 eta: 0:56:30 time: 0.3263 data_time: 0.0439 memory: 9707 grad_norm: 1.0032 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0879 loss: 0.0879 2022/08/05 17:50:18 - mmengine - INFO - Epoch(train) [178][60/161] lr: 3.1768e-02 eta: 0:56:23 time: 0.3175 data_time: 0.0415 memory: 9707 grad_norm: 0.9116 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0808 loss: 0.0808 2022/08/05 17:50:24 - mmengine - INFO - Epoch(train) [178][80/161] lr: 3.1650e-02 eta: 0:56:16 time: 0.3150 data_time: 0.0436 memory: 9707 grad_norm: 1.2565 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1421 loss: 0.1421 2022/08/05 17:50:31 - mmengine - INFO - Epoch(train) [178][100/161] lr: 3.1531e-02 eta: 0:56:10 time: 0.3275 data_time: 0.0459 memory: 9707 grad_norm: 1.1924 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0773 loss: 0.0773 2022/08/05 17:50:37 - mmengine - INFO - Epoch(train) [178][120/161] lr: 3.1413e-02 eta: 0:56:03 time: 0.3213 data_time: 0.0462 memory: 9707 grad_norm: 1.0719 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1426 loss: 0.1426 2022/08/05 17:50:43 - mmengine - INFO - Epoch(train) [178][140/161] lr: 3.1294e-02 eta: 0:55:56 time: 0.3169 data_time: 0.0409 memory: 9707 grad_norm: 1.1771 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1066 loss: 0.1066 2022/08/05 17:50:50 - mmengine - INFO - Epoch(train) [178][160/161] lr: 3.1176e-02 eta: 0:55:49 time: 0.3148 data_time: 0.0412 memory: 9707 grad_norm: 1.1803 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1158 loss: 0.1158 2022/08/05 17:50:50 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:50:50 - mmengine - INFO - Epoch(train) [178][161/161] lr: 3.1170e-02 eta: 0:55:49 time: 0.3038 data_time: 0.0394 memory: 652 grad_norm: 1.3733 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3959 loss: 0.3959 2022/08/05 17:50:59 - mmengine - INFO - Epoch(train) [179][20/161] lr: 3.1053e-02 eta: 0:55:43 time: 0.4674 data_time: 0.1462 memory: 9707 grad_norm: 1.1388 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0945 loss: 0.0945 2022/08/05 17:51:06 - mmengine - INFO - Epoch(train) [179][40/161] lr: 3.0935e-02 eta: 0:55:36 time: 0.3139 data_time: 0.0396 memory: 9707 grad_norm: 1.0402 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1097 loss: 0.1097 2022/08/05 17:51:12 - mmengine - INFO - Epoch(train) [179][60/161] lr: 3.0817e-02 eta: 0:55:29 time: 0.3262 data_time: 0.0416 memory: 9707 grad_norm: 1.0957 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1050 loss: 0.1050 2022/08/05 17:51:18 - mmengine - INFO - Epoch(train) [179][80/161] lr: 3.0700e-02 eta: 0:55:22 time: 0.3189 data_time: 0.0435 memory: 9707 grad_norm: 1.1250 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0910 loss: 0.0910 2022/08/05 17:51:25 - mmengine - INFO - Epoch(train) [179][100/161] lr: 3.0583e-02 eta: 0:55:16 time: 0.3169 data_time: 0.0410 memory: 9707 grad_norm: 1.1981 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1231 loss: 0.1231 2022/08/05 17:51:31 - mmengine - INFO - Epoch(train) [179][120/161] lr: 3.0466e-02 eta: 0:55:09 time: 0.3274 data_time: 0.0422 memory: 9707 grad_norm: 1.1517 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1158 loss: 0.1158 2022/08/05 17:51:38 - mmengine - INFO - Epoch(train) [179][140/161] lr: 3.0349e-02 eta: 0:55:02 time: 0.3210 data_time: 0.0403 memory: 9707 grad_norm: 1.3454 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0911 loss: 0.0911 2022/08/05 17:51:44 - mmengine - INFO - Epoch(train) [179][160/161] lr: 3.0233e-02 eta: 0:54:55 time: 0.2923 data_time: 0.0358 memory: 9707 grad_norm: 1.1697 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1226 loss: 0.1226 2022/08/05 17:51:44 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:51:44 - mmengine - INFO - Epoch(train) [179][161/161] lr: 3.0227e-02 eta: 0:54:55 time: 0.2803 data_time: 0.0342 memory: 652 grad_norm: 1.3958 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3644 loss: 0.3644 2022/08/05 17:51:53 - mmengine - INFO - Epoch(train) [180][20/161] lr: 3.0110e-02 eta: 0:54:49 time: 0.4723 data_time: 0.1367 memory: 9707 grad_norm: 1.0711 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0996 loss: 0.0996 2022/08/05 17:52:00 - mmengine - INFO - Epoch(train) [180][40/161] lr: 2.9994e-02 eta: 0:54:42 time: 0.3194 data_time: 0.0409 memory: 9707 grad_norm: 1.2686 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.1520 loss: 0.1520 2022/08/05 17:52:06 - mmengine - INFO - Epoch(train) [180][60/161] lr: 2.9878e-02 eta: 0:54:35 time: 0.3168 data_time: 0.0427 memory: 9707 grad_norm: 1.2559 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1369 loss: 0.1369 2022/08/05 17:52:12 - mmengine - INFO - Epoch(train) [180][80/161] lr: 2.9762e-02 eta: 0:54:28 time: 0.3195 data_time: 0.0410 memory: 9707 grad_norm: 1.1797 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1289 loss: 0.1289 2022/08/05 17:52:19 - mmengine - INFO - Epoch(train) [180][100/161] lr: 2.9647e-02 eta: 0:54:22 time: 0.3181 data_time: 0.0407 memory: 9707 grad_norm: 1.2695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1176 loss: 0.1176 2022/08/05 17:52:25 - mmengine - INFO - Epoch(train) [180][120/161] lr: 2.9531e-02 eta: 0:54:15 time: 0.3214 data_time: 0.0424 memory: 9707 grad_norm: 1.2566 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0907 loss: 0.0907 2022/08/05 17:52:32 - mmengine - INFO - Epoch(train) [180][140/161] lr: 2.9416e-02 eta: 0:54:08 time: 0.3369 data_time: 0.0433 memory: 9707 grad_norm: 1.2182 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1083 loss: 0.1083 2022/08/05 17:52:38 - mmengine - INFO - Epoch(train) [180][160/161] lr: 2.9301e-02 eta: 0:54:01 time: 0.2972 data_time: 0.0413 memory: 9707 grad_norm: 1.2001 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0943 loss: 0.0943 2022/08/05 17:52:38 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:52:38 - mmengine - INFO - Epoch(train) [180][161/161] lr: 2.9295e-02 eta: 0:54:01 time: 0.2849 data_time: 0.0380 memory: 652 grad_norm: 1.4472 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3155 loss: 0.3155 2022/08/05 17:52:38 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/08/05 17:52:49 - mmengine - INFO - Epoch(val) [180][20/67] eta: 0:00:20 time: 0.4270 data_time: 0.2420 memory: 1868 2022/08/05 17:52:55 - mmengine - INFO - Epoch(val) [180][40/67] eta: 0:00:08 time: 0.2978 data_time: 0.1170 memory: 1868 2022/08/05 17:52:59 - mmengine - INFO - Epoch(val) [180][60/67] eta: 0:00:01 time: 0.2078 data_time: 0.0664 memory: 1868 2022/08/05 17:53:01 - mmengine - INFO - Epoch(val) [180][67/67] acc/top1: 0.9169 acc/top5: 0.9959 acc/mean1: 0.8693 2022/08/05 17:53:01 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_gym_limb/best_acc/top1_epoch_171.pth is removed 2022/08/05 17:53:03 - mmengine - INFO - The best checkpoint with 0.9169 acc/top1 at 181 epoch is saved to best_acc/top1_epoch_181.pth. 2022/08/05 17:53:11 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:53:11 - mmengine - INFO - Epoch(train) [181][20/161] lr: 2.9180e-02 eta: 0:53:54 time: 0.4094 data_time: 0.1492 memory: 9707 grad_norm: 1.2066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0921 loss: 0.0921 2022/08/05 17:53:18 - mmengine - INFO - Epoch(train) [181][40/161] lr: 2.9065e-02 eta: 0:53:48 time: 0.3230 data_time: 0.0453 memory: 9707 grad_norm: 1.2928 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0988 loss: 0.0988 2022/08/05 17:53:24 - mmengine - INFO - Epoch(train) [181][60/161] lr: 2.8951e-02 eta: 0:53:41 time: 0.3157 data_time: 0.0385 memory: 9707 grad_norm: 1.2494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1369 loss: 0.1369 2022/08/05 17:53:31 - mmengine - INFO - Epoch(train) [181][80/161] lr: 2.8837e-02 eta: 0:53:34 time: 0.3225 data_time: 0.0408 memory: 9707 grad_norm: 1.2720 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1432 loss: 0.1432 2022/08/05 17:53:37 - mmengine - INFO - Epoch(train) [181][100/161] lr: 2.8722e-02 eta: 0:53:27 time: 0.3169 data_time: 0.0413 memory: 9707 grad_norm: 1.2182 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1196 loss: 0.1196 2022/08/05 17:53:43 - mmengine - INFO - Epoch(train) [181][120/161] lr: 2.8609e-02 eta: 0:53:20 time: 0.3145 data_time: 0.0421 memory: 9707 grad_norm: 1.2037 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0968 loss: 0.0968 2022/08/05 17:53:50 - mmengine - INFO - Epoch(train) [181][140/161] lr: 2.8495e-02 eta: 0:53:13 time: 0.3168 data_time: 0.0412 memory: 9707 grad_norm: 1.3075 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1417 loss: 0.1417 2022/08/05 17:53:56 - mmengine - INFO - Epoch(train) [181][160/161] lr: 2.8381e-02 eta: 0:53:06 time: 0.2943 data_time: 0.0417 memory: 9707 grad_norm: 1.1972 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0883 loss: 0.0883 2022/08/05 17:53:56 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:53:56 - mmengine - INFO - Epoch(train) [181][161/161] lr: 2.8375e-02 eta: 0:53:06 time: 0.2810 data_time: 0.0371 memory: 652 grad_norm: 1.3803 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3113 loss: 0.3113 2022/08/05 17:54:05 - mmengine - INFO - Epoch(train) [182][20/161] lr: 2.8262e-02 eta: 0:53:00 time: 0.4747 data_time: 0.1772 memory: 9707 grad_norm: 1.1671 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0853 loss: 0.0853 2022/08/05 17:54:11 - mmengine - INFO - Epoch(train) [182][40/161] lr: 2.8149e-02 eta: 0:52:53 time: 0.3151 data_time: 0.0388 memory: 9707 grad_norm: 1.1855 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1081 loss: 0.1081 2022/08/05 17:54:18 - mmengine - INFO - Epoch(train) [182][60/161] lr: 2.8036e-02 eta: 0:52:47 time: 0.3275 data_time: 0.0403 memory: 9707 grad_norm: 1.3123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1089 loss: 0.1089 2022/08/05 17:54:24 - mmengine - INFO - Epoch(train) [182][80/161] lr: 2.7923e-02 eta: 0:52:40 time: 0.3201 data_time: 0.0459 memory: 9707 grad_norm: 1.1409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1211 loss: 0.1211 2022/08/05 17:54:31 - mmengine - INFO - Epoch(train) [182][100/161] lr: 2.7810e-02 eta: 0:52:33 time: 0.3208 data_time: 0.0435 memory: 9707 grad_norm: 1.1022 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0972 loss: 0.0972 2022/08/05 17:54:37 - mmengine - INFO - Epoch(train) [182][120/161] lr: 2.7698e-02 eta: 0:52:26 time: 0.3258 data_time: 0.0391 memory: 9707 grad_norm: 1.3608 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1029 loss: 0.1029 2022/08/05 17:54:44 - mmengine - INFO - Epoch(train) [182][140/161] lr: 2.7586e-02 eta: 0:52:19 time: 0.3195 data_time: 0.0409 memory: 9707 grad_norm: 1.1872 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1247 loss: 0.1247 2022/08/05 17:54:50 - mmengine - INFO - Epoch(train) [182][160/161] lr: 2.7474e-02 eta: 0:52:12 time: 0.2929 data_time: 0.0397 memory: 9707 grad_norm: 1.2461 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0889 loss: 0.0889 2022/08/05 17:54:50 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:54:50 - mmengine - INFO - Epoch(train) [182][161/161] lr: 2.7468e-02 eta: 0:52:12 time: 0.2807 data_time: 0.0377 memory: 652 grad_norm: 1.5193 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3778 loss: 0.3778 2022/08/05 17:54:59 - mmengine - INFO - Epoch(train) [183][20/161] lr: 2.7356e-02 eta: 0:52:06 time: 0.4748 data_time: 0.1310 memory: 9707 grad_norm: 1.3421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1629 loss: 0.1629 2022/08/05 17:55:06 - mmengine - INFO - Epoch(train) [183][40/161] lr: 2.7245e-02 eta: 0:51:59 time: 0.3138 data_time: 0.0376 memory: 9707 grad_norm: 1.0950 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0941 loss: 0.0941 2022/08/05 17:55:12 - mmengine - INFO - Epoch(train) [183][60/161] lr: 2.7133e-02 eta: 0:51:52 time: 0.3143 data_time: 0.0390 memory: 9707 grad_norm: 1.1515 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1200 loss: 0.1200 2022/08/05 17:55:18 - mmengine - INFO - Epoch(train) [183][80/161] lr: 2.7022e-02 eta: 0:51:46 time: 0.3222 data_time: 0.0439 memory: 9707 grad_norm: 1.2226 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0907 loss: 0.0907 2022/08/05 17:55:25 - mmengine - INFO - Epoch(train) [183][100/161] lr: 2.6911e-02 eta: 0:51:39 time: 0.3168 data_time: 0.0371 memory: 9707 grad_norm: 1.1897 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0772 loss: 0.0772 2022/08/05 17:55:31 - mmengine - INFO - Epoch(train) [183][120/161] lr: 2.6800e-02 eta: 0:51:32 time: 0.3222 data_time: 0.0463 memory: 9707 grad_norm: 1.2064 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0879 loss: 0.0879 2022/08/05 17:55:37 - mmengine - INFO - Epoch(train) [183][140/161] lr: 2.6689e-02 eta: 0:51:25 time: 0.3205 data_time: 0.0432 memory: 9707 grad_norm: 1.2239 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1431 loss: 0.1431 2022/08/05 17:55:43 - mmengine - INFO - Epoch(train) [183][160/161] lr: 2.6579e-02 eta: 0:51:18 time: 0.2907 data_time: 0.0376 memory: 9707 grad_norm: 1.1995 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0608 loss: 0.0608 2022/08/05 17:55:43 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:55:43 - mmengine - INFO - Epoch(train) [183][161/161] lr: 2.6573e-02 eta: 0:51:18 time: 0.2787 data_time: 0.0358 memory: 652 grad_norm: 1.4409 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.2229 loss: 0.2229 2022/08/05 17:55:53 - mmengine - INFO - Epoch(train) [184][20/161] lr: 2.6463e-02 eta: 0:51:12 time: 0.4826 data_time: 0.1515 memory: 9707 grad_norm: 1.3603 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1181 loss: 0.1181 2022/08/05 17:55:59 - mmengine - INFO - Epoch(train) [184][40/161] lr: 2.6353e-02 eta: 0:51:05 time: 0.3115 data_time: 0.0394 memory: 9707 grad_norm: 1.2235 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1168 loss: 0.1168 2022/08/05 17:56:06 - mmengine - INFO - Epoch(train) [184][60/161] lr: 2.6243e-02 eta: 0:50:58 time: 0.3157 data_time: 0.0387 memory: 9707 grad_norm: 1.1564 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0561 loss: 0.0561 2022/08/05 17:56:12 - mmengine - INFO - Epoch(train) [184][80/161] lr: 2.6133e-02 eta: 0:50:51 time: 0.3173 data_time: 0.0417 memory: 9707 grad_norm: 1.2382 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1220 loss: 0.1220 2022/08/05 17:56:18 - mmengine - INFO - Epoch(train) [184][100/161] lr: 2.6024e-02 eta: 0:50:45 time: 0.3165 data_time: 0.0376 memory: 9707 grad_norm: 1.1524 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0874 loss: 0.0874 2022/08/05 17:56:25 - mmengine - INFO - Epoch(train) [184][120/161] lr: 2.5914e-02 eta: 0:50:38 time: 0.3162 data_time: 0.0404 memory: 9707 grad_norm: 1.1349 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0790 loss: 0.0790 2022/08/05 17:56:31 - mmengine - INFO - Epoch(train) [184][140/161] lr: 2.5805e-02 eta: 0:50:31 time: 0.3187 data_time: 0.0410 memory: 9707 grad_norm: 1.2088 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0915 loss: 0.0915 2022/08/05 17:56:37 - mmengine - INFO - Epoch(train) [184][160/161] lr: 2.5696e-02 eta: 0:50:24 time: 0.2941 data_time: 0.0356 memory: 9707 grad_norm: 1.1774 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0693 loss: 0.0693 2022/08/05 17:56:37 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:56:37 - mmengine - INFO - Epoch(train) [184][161/161] lr: 2.5691e-02 eta: 0:50:24 time: 0.3021 data_time: 0.0362 memory: 652 grad_norm: 1.4041 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3339 loss: 0.3339 2022/08/05 17:56:47 - mmengine - INFO - Epoch(train) [185][20/161] lr: 2.5582e-02 eta: 0:50:18 time: 0.4662 data_time: 0.1463 memory: 9707 grad_norm: 1.2400 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1028 loss: 0.1028 2022/08/05 17:56:53 - mmengine - INFO - Epoch(train) [185][40/161] lr: 2.5474e-02 eta: 0:50:11 time: 0.3150 data_time: 0.0406 memory: 9707 grad_norm: 1.1492 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0938 loss: 0.0938 2022/08/05 17:57:00 - mmengine - INFO - Epoch(train) [185][60/161] lr: 2.5365e-02 eta: 0:50:04 time: 0.3419 data_time: 0.0413 memory: 9707 grad_norm: 1.1827 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0961 loss: 0.0961 2022/08/05 17:57:06 - mmengine - INFO - Epoch(train) [185][80/161] lr: 2.5257e-02 eta: 0:49:57 time: 0.3149 data_time: 0.0394 memory: 9707 grad_norm: 1.1360 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1332 loss: 0.1332 2022/08/05 17:57:12 - mmengine - INFO - Epoch(train) [185][100/161] lr: 2.5149e-02 eta: 0:49:51 time: 0.3149 data_time: 0.0385 memory: 9707 grad_norm: 1.0520 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0916 loss: 0.0916 2022/08/05 17:57:19 - mmengine - INFO - Epoch(train) [185][120/161] lr: 2.5042e-02 eta: 0:49:44 time: 0.3397 data_time: 0.0415 memory: 9707 grad_norm: 1.1665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0752 loss: 0.0752 2022/08/05 17:57:26 - mmengine - INFO - Epoch(train) [185][140/161] lr: 2.4934e-02 eta: 0:49:37 time: 0.3180 data_time: 0.0446 memory: 9707 grad_norm: 1.2346 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0694 loss: 0.0694 2022/08/05 17:57:32 - mmengine - INFO - Epoch(train) [185][160/161] lr: 2.4827e-02 eta: 0:49:30 time: 0.2941 data_time: 0.0373 memory: 9707 grad_norm: 1.1590 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1167 loss: 0.1167 2022/08/05 17:57:32 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:57:32 - mmengine - INFO - Epoch(train) [185][161/161] lr: 2.4821e-02 eta: 0:49:30 time: 0.2842 data_time: 0.0362 memory: 652 grad_norm: 1.3708 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2951 loss: 0.2951 2022/08/05 17:57:41 - mmengine - INFO - Epoch(train) [186][20/161] lr: 2.4714e-02 eta: 0:49:24 time: 0.4605 data_time: 0.1466 memory: 9707 grad_norm: 1.2042 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0884 loss: 0.0884 2022/08/05 17:57:47 - mmengine - INFO - Epoch(train) [186][40/161] lr: 2.4607e-02 eta: 0:49:17 time: 0.3191 data_time: 0.0392 memory: 9707 grad_norm: 1.0266 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0924 loss: 0.0924 2022/08/05 17:57:54 - mmengine - INFO - Epoch(train) [186][60/161] lr: 2.4501e-02 eta: 0:49:10 time: 0.3178 data_time: 0.0388 memory: 9707 grad_norm: 1.0403 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0699 loss: 0.0699 2022/08/05 17:58:00 - mmengine - INFO - Epoch(train) [186][80/161] lr: 2.4394e-02 eta: 0:49:03 time: 0.3335 data_time: 0.0441 memory: 9707 grad_norm: 1.1962 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0718 loss: 0.0718 2022/08/05 17:58:07 - mmengine - INFO - Epoch(train) [186][100/161] lr: 2.4288e-02 eta: 0:48:57 time: 0.3198 data_time: 0.0378 memory: 9707 grad_norm: 0.9639 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0703 loss: 0.0703 2022/08/05 17:58:13 - mmengine - INFO - Epoch(train) [186][120/161] lr: 2.4182e-02 eta: 0:48:50 time: 0.3194 data_time: 0.0419 memory: 9707 grad_norm: 1.1455 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0956 loss: 0.0956 2022/08/05 17:58:20 - mmengine - INFO - Epoch(train) [186][140/161] lr: 2.4076e-02 eta: 0:48:43 time: 0.3329 data_time: 0.0420 memory: 9707 grad_norm: 1.1137 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0685 loss: 0.0685 2022/08/05 17:58:26 - mmengine - INFO - Epoch(train) [186][160/161] lr: 2.3970e-02 eta: 0:48:36 time: 0.2919 data_time: 0.0368 memory: 9707 grad_norm: 1.2648 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0884 loss: 0.0884 2022/08/05 17:58:26 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:58:26 - mmengine - INFO - Epoch(train) [186][161/161] lr: 2.3965e-02 eta: 0:48:36 time: 0.2789 data_time: 0.0347 memory: 652 grad_norm: 1.5228 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.2347 loss: 0.2347 2022/08/05 17:58:35 - mmengine - INFO - Epoch(train) [187][20/161] lr: 2.3859e-02 eta: 0:48:30 time: 0.4690 data_time: 0.1469 memory: 9707 grad_norm: 1.1251 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0715 loss: 0.0715 2022/08/05 17:58:42 - mmengine - INFO - Epoch(train) [187][40/161] lr: 2.3754e-02 eta: 0:48:23 time: 0.3209 data_time: 0.0435 memory: 9707 grad_norm: 1.0191 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0830 loss: 0.0830 2022/08/05 17:58:46 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:58:48 - mmengine - INFO - Epoch(train) [187][60/161] lr: 2.3649e-02 eta: 0:48:16 time: 0.3245 data_time: 0.0448 memory: 9707 grad_norm: 1.1722 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0797 loss: 0.0797 2022/08/05 17:58:54 - mmengine - INFO - Epoch(train) [187][80/161] lr: 2.3544e-02 eta: 0:48:09 time: 0.3170 data_time: 0.0395 memory: 9707 grad_norm: 1.2197 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0803 loss: 0.0803 2022/08/05 17:59:01 - mmengine - INFO - Epoch(train) [187][100/161] lr: 2.3439e-02 eta: 0:48:03 time: 0.3223 data_time: 0.0406 memory: 9707 grad_norm: 1.1122 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0598 loss: 0.0598 2022/08/05 17:59:07 - mmengine - INFO - Epoch(train) [187][120/161] lr: 2.3335e-02 eta: 0:47:56 time: 0.3213 data_time: 0.0446 memory: 9707 grad_norm: 1.1911 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0641 loss: 0.0641 2022/08/05 17:59:14 - mmengine - INFO - Epoch(train) [187][140/161] lr: 2.3230e-02 eta: 0:47:49 time: 0.3203 data_time: 0.0379 memory: 9707 grad_norm: 1.2654 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0760 loss: 0.0760 2022/08/05 17:59:20 - mmengine - INFO - Epoch(train) [187][160/161] lr: 2.3126e-02 eta: 0:47:42 time: 0.2951 data_time: 0.0373 memory: 9707 grad_norm: 1.3114 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0927 loss: 0.0927 2022/08/05 17:59:20 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 17:59:20 - mmengine - INFO - Epoch(train) [187][161/161] lr: 2.3121e-02 eta: 0:47:42 time: 0.2832 data_time: 0.0354 memory: 652 grad_norm: 1.5015 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2787 loss: 0.2787 2022/08/05 17:59:32 - mmengine - INFO - Epoch(train) [188][20/161] lr: 2.3017e-02 eta: 0:47:36 time: 0.6260 data_time: 0.1358 memory: 9707 grad_norm: 1.3747 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0886 loss: 0.0886 2022/08/05 17:59:39 - mmengine - INFO - Epoch(train) [188][40/161] lr: 2.2913e-02 eta: 0:47:30 time: 0.3195 data_time: 0.0404 memory: 9707 grad_norm: 1.1777 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1019 loss: 0.1019 2022/08/05 17:59:45 - mmengine - INFO - Epoch(train) [188][60/161] lr: 2.2810e-02 eta: 0:47:23 time: 0.3186 data_time: 0.0418 memory: 9707 grad_norm: 1.1571 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0828 loss: 0.0828 2022/08/05 17:59:51 - mmengine - INFO - Epoch(train) [188][80/161] lr: 2.2707e-02 eta: 0:47:16 time: 0.3253 data_time: 0.0410 memory: 9707 grad_norm: 1.0187 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0680 loss: 0.0680 2022/08/05 17:59:58 - mmengine - INFO - Epoch(train) [188][100/161] lr: 2.2604e-02 eta: 0:47:09 time: 0.3188 data_time: 0.0403 memory: 9707 grad_norm: 0.9505 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0772 loss: 0.0772 2022/08/05 18:00:07 - mmengine - INFO - Epoch(train) [188][120/161] lr: 2.2501e-02 eta: 0:47:03 time: 0.4402 data_time: 0.0499 memory: 9707 grad_norm: 1.1821 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0678 loss: 0.0678 2022/08/05 18:00:13 - mmengine - INFO - Epoch(train) [188][140/161] lr: 2.2398e-02 eta: 0:46:56 time: 0.3164 data_time: 0.0458 memory: 9707 grad_norm: 1.0611 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0658 loss: 0.0658 2022/08/05 18:00:19 - mmengine - INFO - Epoch(train) [188][160/161] lr: 2.2296e-02 eta: 0:46:50 time: 0.3137 data_time: 0.0372 memory: 9707 grad_norm: 1.0640 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1135 loss: 0.1135 2022/08/05 18:00:19 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:00:19 - mmengine - INFO - Epoch(train) [188][161/161] lr: 2.2291e-02 eta: 0:46:50 time: 0.3047 data_time: 0.0397 memory: 652 grad_norm: 1.3007 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.2126 loss: 0.2126 2022/08/05 18:00:29 - mmengine - INFO - Epoch(train) [189][20/161] lr: 2.2188e-02 eta: 0:46:43 time: 0.4660 data_time: 0.1757 memory: 9707 grad_norm: 1.2191 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0588 loss: 0.0588 2022/08/05 18:00:35 - mmengine - INFO - Epoch(train) [189][40/161] lr: 2.2086e-02 eta: 0:46:36 time: 0.3174 data_time: 0.0383 memory: 9707 grad_norm: 1.2405 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0722 loss: 0.0722 2022/08/05 18:00:42 - mmengine - INFO - Epoch(train) [189][60/161] lr: 2.1984e-02 eta: 0:46:30 time: 0.3265 data_time: 0.0453 memory: 9707 grad_norm: 1.1468 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0844 loss: 0.0844 2022/08/05 18:00:48 - mmengine - INFO - Epoch(train) [189][80/161] lr: 2.1883e-02 eta: 0:46:23 time: 0.3175 data_time: 0.0401 memory: 9707 grad_norm: 1.1539 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0891 loss: 0.0891 2022/08/05 18:00:54 - mmengine - INFO - Epoch(train) [189][100/161] lr: 2.1781e-02 eta: 0:46:16 time: 0.3184 data_time: 0.0427 memory: 9707 grad_norm: 1.0945 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0845 loss: 0.0845 2022/08/05 18:01:01 - mmengine - INFO - Epoch(train) [189][120/161] lr: 2.1680e-02 eta: 0:46:09 time: 0.3267 data_time: 0.0409 memory: 9707 grad_norm: 1.1577 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0738 loss: 0.0738 2022/08/05 18:01:07 - mmengine - INFO - Epoch(train) [189][140/161] lr: 2.1579e-02 eta: 0:46:02 time: 0.3200 data_time: 0.0413 memory: 9707 grad_norm: 1.0750 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0472 loss: 0.0472 2022/08/05 18:01:13 - mmengine - INFO - Epoch(train) [189][160/161] lr: 2.1478e-02 eta: 0:45:55 time: 0.2941 data_time: 0.0368 memory: 9707 grad_norm: 1.1684 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0699 loss: 0.0699 2022/08/05 18:01:13 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:01:13 - mmengine - INFO - Epoch(train) [189][161/161] lr: 2.1473e-02 eta: 0:45:55 time: 0.2840 data_time: 0.0389 memory: 652 grad_norm: 1.3888 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.1996 loss: 0.1996 2022/08/05 18:01:23 - mmengine - INFO - Epoch(train) [190][20/161] lr: 2.1373e-02 eta: 0:45:49 time: 0.4717 data_time: 0.1531 memory: 9707 grad_norm: 1.0448 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0759 loss: 0.0759 2022/08/05 18:01:29 - mmengine - INFO - Epoch(train) [190][40/161] lr: 2.1272e-02 eta: 0:45:42 time: 0.3196 data_time: 0.0389 memory: 9707 grad_norm: 1.0154 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0768 loss: 0.0768 2022/08/05 18:01:36 - mmengine - INFO - Epoch(train) [190][60/161] lr: 2.1172e-02 eta: 0:45:35 time: 0.3188 data_time: 0.0448 memory: 9707 grad_norm: 1.1873 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0663 loss: 0.0663 2022/08/05 18:01:42 - mmengine - INFO - Epoch(train) [190][80/161] lr: 2.1072e-02 eta: 0:45:29 time: 0.3250 data_time: 0.0412 memory: 9707 grad_norm: 1.0782 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0816 loss: 0.0816 2022/08/05 18:01:48 - mmengine - INFO - Epoch(train) [190][100/161] lr: 2.0973e-02 eta: 0:45:22 time: 0.3233 data_time: 0.0476 memory: 9707 grad_norm: 1.1798 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0582 loss: 0.0582 2022/08/05 18:01:55 - mmengine - INFO - Epoch(train) [190][120/161] lr: 2.0873e-02 eta: 0:45:15 time: 0.3210 data_time: 0.0412 memory: 9707 grad_norm: 1.2680 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0774 loss: 0.0774 2022/08/05 18:02:01 - mmengine - INFO - Epoch(train) [190][140/161] lr: 2.0774e-02 eta: 0:45:08 time: 0.3226 data_time: 0.0436 memory: 9707 grad_norm: 1.1941 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0830 loss: 0.0830 2022/08/05 18:02:07 - mmengine - INFO - Epoch(train) [190][160/161] lr: 2.0675e-02 eta: 0:45:01 time: 0.3033 data_time: 0.0369 memory: 9707 grad_norm: 0.9987 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0543 loss: 0.0543 2022/08/05 18:02:08 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:02:08 - mmengine - INFO - Epoch(train) [190][161/161] lr: 2.0670e-02 eta: 0:45:01 time: 0.3026 data_time: 0.0420 memory: 652 grad_norm: 1.2011 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.1981 loss: 0.1981 2022/08/05 18:02:08 - mmengine - INFO - Saving checkpoint at 190 epochs 2022/08/05 18:02:19 - mmengine - INFO - Epoch(val) [190][20/67] eta: 0:00:19 time: 0.4103 data_time: 0.2282 memory: 1868 2022/08/05 18:02:25 - mmengine - INFO - Epoch(val) [190][40/67] eta: 0:00:08 time: 0.3057 data_time: 0.1294 memory: 1868 2022/08/05 18:02:29 - mmengine - INFO - Epoch(val) [190][60/67] eta: 0:00:01 time: 0.2184 data_time: 0.0821 memory: 1868 2022/08/05 18:02:31 - mmengine - INFO - Epoch(val) [190][67/67] acc/top1: 0.9345 acc/top5: 0.9971 acc/mean1: 0.9012 2022/08/05 18:02:31 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_gym_limb/best_acc/top1_epoch_181.pth is removed 2022/08/05 18:02:34 - mmengine - INFO - The best checkpoint with 0.9345 acc/top1 at 191 epoch is saved to best_acc/top1_epoch_191.pth. 2022/08/05 18:02:42 - mmengine - INFO - Epoch(train) [191][20/161] lr: 2.0571e-02 eta: 0:44:55 time: 0.4122 data_time: 0.1422 memory: 9707 grad_norm: 0.9860 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0865 loss: 0.0865 2022/08/05 18:02:48 - mmengine - INFO - Epoch(train) [191][40/161] lr: 2.0472e-02 eta: 0:44:48 time: 0.3211 data_time: 0.0434 memory: 9707 grad_norm: 0.9697 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0711 loss: 0.0711 2022/08/05 18:02:55 - mmengine - INFO - Epoch(train) [191][60/161] lr: 2.0374e-02 eta: 0:44:41 time: 0.3159 data_time: 0.0408 memory: 9707 grad_norm: 1.0326 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0615 loss: 0.0615 2022/08/05 18:03:01 - mmengine - INFO - Epoch(train) [191][80/161] lr: 2.0275e-02 eta: 0:44:34 time: 0.3194 data_time: 0.0405 memory: 9707 grad_norm: 1.0769 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0522 loss: 0.0522 2022/08/05 18:03:07 - mmengine - INFO - Epoch(train) [191][100/161] lr: 2.0177e-02 eta: 0:44:27 time: 0.3183 data_time: 0.0434 memory: 9707 grad_norm: 1.0528 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0544 loss: 0.0544 2022/08/05 18:03:14 - mmengine - INFO - Epoch(train) [191][120/161] lr: 2.0079e-02 eta: 0:44:21 time: 0.3219 data_time: 0.0436 memory: 9707 grad_norm: 1.2488 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0945 loss: 0.0945 2022/08/05 18:03:20 - mmengine - INFO - Epoch(train) [191][140/161] lr: 1.9982e-02 eta: 0:44:14 time: 0.3167 data_time: 0.0381 memory: 9707 grad_norm: 1.3088 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1002 loss: 0.1002 2022/08/05 18:03:26 - mmengine - INFO - Epoch(train) [191][160/161] lr: 1.9884e-02 eta: 0:44:07 time: 0.2965 data_time: 0.0387 memory: 9707 grad_norm: 1.0989 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0999 loss: 0.0999 2022/08/05 18:03:26 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:03:26 - mmengine - INFO - Epoch(train) [191][161/161] lr: 1.9879e-02 eta: 0:44:07 time: 0.2838 data_time: 0.0367 memory: 652 grad_norm: 1.3476 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2619 loss: 0.2619 2022/08/05 18:03:36 - mmengine - INFO - Epoch(train) [192][20/161] lr: 1.9782e-02 eta: 0:44:01 time: 0.4739 data_time: 0.1506 memory: 9707 grad_norm: 1.1369 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0641 loss: 0.0641 2022/08/05 18:03:42 - mmengine - INFO - Epoch(train) [192][40/161] lr: 1.9685e-02 eta: 0:43:54 time: 0.3173 data_time: 0.0405 memory: 9707 grad_norm: 1.0077 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0943 loss: 0.0943 2022/08/05 18:03:49 - mmengine - INFO - Epoch(train) [192][60/161] lr: 1.9589e-02 eta: 0:43:47 time: 0.3284 data_time: 0.0410 memory: 9707 grad_norm: 1.1330 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0618 loss: 0.0618 2022/08/05 18:03:55 - mmengine - INFO - Epoch(train) [192][80/161] lr: 1.9492e-02 eta: 0:43:40 time: 0.3196 data_time: 0.0460 memory: 9707 grad_norm: 0.9814 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0478 loss: 0.0478 2022/08/05 18:04:01 - mmengine - INFO - Epoch(train) [192][100/161] lr: 1.9396e-02 eta: 0:43:33 time: 0.3246 data_time: 0.0400 memory: 9707 grad_norm: 1.0312 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0604 loss: 0.0604 2022/08/05 18:04:08 - mmengine - INFO - Epoch(train) [192][120/161] lr: 1.9299e-02 eta: 0:43:27 time: 0.3298 data_time: 0.0467 memory: 9707 grad_norm: 1.3014 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0648 loss: 0.0648 2022/08/05 18:04:14 - mmengine - INFO - Epoch(train) [192][140/161] lr: 1.9204e-02 eta: 0:43:20 time: 0.3176 data_time: 0.0382 memory: 9707 grad_norm: 0.9741 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0772 loss: 0.0772 2022/08/05 18:04:20 - mmengine - INFO - Epoch(train) [192][160/161] lr: 1.9108e-02 eta: 0:43:13 time: 0.2952 data_time: 0.0422 memory: 9707 grad_norm: 1.0612 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0760 loss: 0.0760 2022/08/05 18:04:20 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:04:20 - mmengine - INFO - Epoch(train) [192][161/161] lr: 1.9103e-02 eta: 0:43:13 time: 0.2832 data_time: 0.0413 memory: 652 grad_norm: 1.2756 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2614 loss: 0.2614 2022/08/05 18:04:30 - mmengine - INFO - Epoch(train) [193][20/161] lr: 1.9008e-02 eta: 0:43:07 time: 0.4827 data_time: 0.1444 memory: 9707 grad_norm: 1.1495 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0764 loss: 0.0764 2022/08/05 18:04:36 - mmengine - INFO - Epoch(train) [193][40/161] lr: 1.8912e-02 eta: 0:43:00 time: 0.3174 data_time: 0.0435 memory: 9707 grad_norm: 1.0922 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0832 loss: 0.0832 2022/08/05 18:04:43 - mmengine - INFO - Epoch(train) [193][60/161] lr: 1.8817e-02 eta: 0:42:53 time: 0.3184 data_time: 0.0416 memory: 9707 grad_norm: 1.2091 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0830 loss: 0.0830 2022/08/05 18:04:49 - mmengine - INFO - Epoch(train) [193][80/161] lr: 1.8722e-02 eta: 0:42:46 time: 0.3247 data_time: 0.0454 memory: 9707 grad_norm: 1.0568 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0809 loss: 0.0809 2022/08/05 18:04:52 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:04:56 - mmengine - INFO - Epoch(train) [193][100/161] lr: 1.8628e-02 eta: 0:42:39 time: 0.3202 data_time: 0.0431 memory: 9707 grad_norm: 1.0978 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0711 loss: 0.0711 2022/08/05 18:05:02 - mmengine - INFO - Epoch(train) [193][120/161] lr: 1.8533e-02 eta: 0:42:33 time: 0.3183 data_time: 0.0440 memory: 9707 grad_norm: 1.2813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0751 loss: 0.0751 2022/08/05 18:05:09 - mmengine - INFO - Epoch(train) [193][140/161] lr: 1.8439e-02 eta: 0:42:26 time: 0.3251 data_time: 0.0405 memory: 9707 grad_norm: 1.1780 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0763 loss: 0.0763 2022/08/05 18:05:14 - mmengine - INFO - Epoch(train) [193][160/161] lr: 1.8345e-02 eta: 0:42:19 time: 0.2903 data_time: 0.0385 memory: 9707 grad_norm: 1.0613 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0640 loss: 0.0640 2022/08/05 18:05:15 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:05:15 - mmengine - INFO - Epoch(train) [193][161/161] lr: 1.8341e-02 eta: 0:42:19 time: 0.2781 data_time: 0.0364 memory: 652 grad_norm: 1.3573 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.2100 loss: 0.2100 2022/08/05 18:05:24 - mmengine - INFO - Epoch(train) [194][20/161] lr: 1.8247e-02 eta: 0:42:12 time: 0.4736 data_time: 0.1483 memory: 9707 grad_norm: 1.2422 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0683 loss: 0.0683 2022/08/05 18:05:31 - mmengine - INFO - Epoch(train) [194][40/161] lr: 1.8153e-02 eta: 0:42:06 time: 0.3318 data_time: 0.0497 memory: 9707 grad_norm: 1.0804 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0806 loss: 0.0806 2022/08/05 18:05:37 - mmengine - INFO - Epoch(train) [194][60/161] lr: 1.8060e-02 eta: 0:41:59 time: 0.3181 data_time: 0.0430 memory: 9707 grad_norm: 1.0187 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0846 loss: 0.0846 2022/08/05 18:05:43 - mmengine - INFO - Epoch(train) [194][80/161] lr: 1.7967e-02 eta: 0:41:52 time: 0.3197 data_time: 0.0418 memory: 9707 grad_norm: 1.0942 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0711 loss: 0.0711 2022/08/05 18:05:50 - mmengine - INFO - Epoch(train) [194][100/161] lr: 1.7874e-02 eta: 0:41:45 time: 0.3186 data_time: 0.0409 memory: 9707 grad_norm: 1.0374 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0506 loss: 0.0506 2022/08/05 18:05:56 - mmengine - INFO - Epoch(train) [194][120/161] lr: 1.7781e-02 eta: 0:41:39 time: 0.3174 data_time: 0.0445 memory: 9707 grad_norm: 1.0967 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0577 loss: 0.0577 2022/08/05 18:06:02 - mmengine - INFO - Epoch(train) [194][140/161] lr: 1.7689e-02 eta: 0:41:32 time: 0.3157 data_time: 0.0434 memory: 9707 grad_norm: 0.9275 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0518 loss: 0.0518 2022/08/05 18:06:09 - mmengine - INFO - Epoch(train) [194][160/161] lr: 1.7597e-02 eta: 0:41:25 time: 0.3315 data_time: 0.0406 memory: 9707 grad_norm: 1.0968 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0742 loss: 0.0742 2022/08/05 18:06:09 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:06:09 - mmengine - INFO - Epoch(train) [194][161/161] lr: 1.7592e-02 eta: 0:41:25 time: 0.3198 data_time: 0.0398 memory: 652 grad_norm: 1.3998 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2899 loss: 0.2899 2022/08/05 18:06:19 - mmengine - INFO - Epoch(train) [195][20/161] lr: 1.7500e-02 eta: 0:41:19 time: 0.4752 data_time: 0.1750 memory: 9707 grad_norm: 1.0546 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0674 loss: 0.0674 2022/08/05 18:06:25 - mmengine - INFO - Epoch(train) [195][40/161] lr: 1.7408e-02 eta: 0:41:12 time: 0.3154 data_time: 0.0425 memory: 9707 grad_norm: 1.0388 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0411 loss: 0.0411 2022/08/05 18:06:32 - mmengine - INFO - Epoch(train) [195][60/161] lr: 1.7317e-02 eta: 0:41:05 time: 0.3375 data_time: 0.0423 memory: 9707 grad_norm: 0.9346 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0464 loss: 0.0464 2022/08/05 18:06:38 - mmengine - INFO - Epoch(train) [195][80/161] lr: 1.7225e-02 eta: 0:40:58 time: 0.3148 data_time: 0.0408 memory: 9707 grad_norm: 0.9668 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0397 loss: 0.0397 2022/08/05 18:06:44 - mmengine - INFO - Epoch(train) [195][100/161] lr: 1.7134e-02 eta: 0:40:51 time: 0.3199 data_time: 0.0441 memory: 9707 grad_norm: 1.1720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0670 loss: 0.0670 2022/08/05 18:06:51 - mmengine - INFO - Epoch(train) [195][120/161] lr: 1.7043e-02 eta: 0:40:45 time: 0.3313 data_time: 0.0506 memory: 9707 grad_norm: 1.2082 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0705 loss: 0.0705 2022/08/05 18:06:57 - mmengine - INFO - Epoch(train) [195][140/161] lr: 1.6953e-02 eta: 0:40:38 time: 0.3180 data_time: 0.0429 memory: 9707 grad_norm: 1.0967 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0868 loss: 0.0868 2022/08/05 18:07:03 - mmengine - INFO - Epoch(train) [195][160/161] lr: 1.6862e-02 eta: 0:40:31 time: 0.2949 data_time: 0.0407 memory: 9707 grad_norm: 1.0548 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0639 loss: 0.0639 2022/08/05 18:07:04 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:07:04 - mmengine - INFO - Epoch(train) [195][161/161] lr: 1.6858e-02 eta: 0:40:31 time: 0.2831 data_time: 0.0378 memory: 652 grad_norm: 1.2532 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2814 loss: 0.2814 2022/08/05 18:07:13 - mmengine - INFO - Epoch(train) [196][20/161] lr: 1.6767e-02 eta: 0:40:25 time: 0.4712 data_time: 0.1521 memory: 9707 grad_norm: 0.9524 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0679 loss: 0.0679 2022/08/05 18:07:19 - mmengine - INFO - Epoch(train) [196][40/161] lr: 1.6677e-02 eta: 0:40:18 time: 0.3191 data_time: 0.0457 memory: 9707 grad_norm: 1.0540 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0510 loss: 0.0510 2022/08/05 18:07:26 - mmengine - INFO - Epoch(train) [196][60/161] lr: 1.6587e-02 eta: 0:40:11 time: 0.3141 data_time: 0.0409 memory: 9707 grad_norm: 1.2827 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0832 loss: 0.0832 2022/08/05 18:07:32 - mmengine - INFO - Epoch(train) [196][80/161] lr: 1.6498e-02 eta: 0:40:04 time: 0.3244 data_time: 0.0449 memory: 9707 grad_norm: 1.0589 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0676 loss: 0.0676 2022/08/05 18:07:39 - mmengine - INFO - Epoch(train) [196][100/161] lr: 1.6409e-02 eta: 0:39:57 time: 0.3215 data_time: 0.0450 memory: 9707 grad_norm: 1.1172 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0788 loss: 0.0788 2022/08/05 18:07:45 - mmengine - INFO - Epoch(train) [196][120/161] lr: 1.6319e-02 eta: 0:39:51 time: 0.3218 data_time: 0.0518 memory: 9707 grad_norm: 1.1066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0427 loss: 0.0427 2022/08/05 18:07:52 - mmengine - INFO - Epoch(train) [196][140/161] lr: 1.6230e-02 eta: 0:39:44 time: 0.3285 data_time: 0.0471 memory: 9707 grad_norm: 1.1932 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0628 loss: 0.0628 2022/08/05 18:07:57 - mmengine - INFO - Epoch(train) [196][160/161] lr: 1.6142e-02 eta: 0:39:37 time: 0.2910 data_time: 0.0408 memory: 9707 grad_norm: 1.0403 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0354 loss: 0.0354 2022/08/05 18:07:57 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:07:57 - mmengine - INFO - Epoch(train) [196][161/161] lr: 1.6137e-02 eta: 0:39:37 time: 0.2799 data_time: 0.0393 memory: 652 grad_norm: 1.3033 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.1879 loss: 0.1879 2022/08/05 18:08:07 - mmengine - INFO - Epoch(train) [197][20/161] lr: 1.6049e-02 eta: 0:39:30 time: 0.4744 data_time: 0.1462 memory: 9707 grad_norm: 0.9873 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0654 loss: 0.0654 2022/08/05 18:08:13 - mmengine - INFO - Epoch(train) [197][40/161] lr: 1.5961e-02 eta: 0:39:24 time: 0.3245 data_time: 0.0487 memory: 9707 grad_norm: 1.0598 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0718 loss: 0.0718 2022/08/05 18:08:20 - mmengine - INFO - Epoch(train) [197][60/161] lr: 1.5873e-02 eta: 0:39:17 time: 0.3225 data_time: 0.0446 memory: 9707 grad_norm: 1.1104 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0423 loss: 0.0423 2022/08/05 18:08:26 - mmengine - INFO - Epoch(train) [197][80/161] lr: 1.5785e-02 eta: 0:39:10 time: 0.3219 data_time: 0.0476 memory: 9707 grad_norm: 1.0230 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0618 loss: 0.0618 2022/08/05 18:08:33 - mmengine - INFO - Epoch(train) [197][100/161] lr: 1.5697e-02 eta: 0:39:03 time: 0.3238 data_time: 0.0449 memory: 9707 grad_norm: 1.0338 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0424 loss: 0.0424 2022/08/05 18:08:39 - mmengine - INFO - Epoch(train) [197][120/161] lr: 1.5610e-02 eta: 0:38:57 time: 0.3185 data_time: 0.0450 memory: 9707 grad_norm: 1.1074 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0529 loss: 0.0529 2022/08/05 18:08:46 - mmengine - INFO - Epoch(train) [197][140/161] lr: 1.5523e-02 eta: 0:38:50 time: 0.3177 data_time: 0.0449 memory: 9707 grad_norm: 0.9616 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0646 loss: 0.0646 2022/08/05 18:08:52 - mmengine - INFO - Epoch(train) [197][160/161] lr: 1.5436e-02 eta: 0:38:43 time: 0.3020 data_time: 0.0421 memory: 9707 grad_norm: 0.9893 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0532 loss: 0.0532 2022/08/05 18:08:52 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:08:52 - mmengine - INFO - Epoch(train) [197][161/161] lr: 1.5432e-02 eta: 0:38:43 time: 0.2883 data_time: 0.0387 memory: 652 grad_norm: 1.2360 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2599 loss: 0.2599 2022/08/05 18:09:01 - mmengine - INFO - Epoch(train) [198][20/161] lr: 1.5345e-02 eta: 0:38:36 time: 0.4850 data_time: 0.1445 memory: 9707 grad_norm: 0.9502 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0559 loss: 0.0559 2022/08/05 18:09:08 - mmengine - INFO - Epoch(train) [198][40/161] lr: 1.5258e-02 eta: 0:38:30 time: 0.3188 data_time: 0.0451 memory: 9707 grad_norm: 1.1405 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0842 loss: 0.0842 2022/08/05 18:09:14 - mmengine - INFO - Epoch(train) [198][60/161] lr: 1.5172e-02 eta: 0:38:23 time: 0.3304 data_time: 0.0440 memory: 9707 grad_norm: 0.9638 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0621 loss: 0.0621 2022/08/05 18:09:21 - mmengine - INFO - Epoch(train) [198][80/161] lr: 1.5086e-02 eta: 0:38:16 time: 0.3189 data_time: 0.0461 memory: 9707 grad_norm: 0.9746 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0453 loss: 0.0453 2022/08/05 18:09:27 - mmengine - INFO - Epoch(train) [198][100/161] lr: 1.5000e-02 eta: 0:38:09 time: 0.3210 data_time: 0.0424 memory: 9707 grad_norm: 0.9439 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0599 loss: 0.0599 2022/08/05 18:09:34 - mmengine - INFO - Epoch(train) [198][120/161] lr: 1.4915e-02 eta: 0:38:03 time: 0.3232 data_time: 0.0442 memory: 9707 grad_norm: 0.9994 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0593 loss: 0.0593 2022/08/05 18:09:40 - mmengine - INFO - Epoch(train) [198][140/161] lr: 1.4830e-02 eta: 0:37:56 time: 0.3232 data_time: 0.0425 memory: 9707 grad_norm: 0.9734 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0787 loss: 0.0787 2022/08/05 18:09:46 - mmengine - INFO - Epoch(train) [198][160/161] lr: 1.4744e-02 eta: 0:37:49 time: 0.2933 data_time: 0.0409 memory: 9707 grad_norm: 0.9303 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0458 loss: 0.0458 2022/08/05 18:09:46 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:09:46 - mmengine - INFO - Epoch(train) [198][161/161] lr: 1.4740e-02 eta: 0:37:49 time: 0.2813 data_time: 0.0392 memory: 652 grad_norm: 1.1836 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2191 loss: 0.2191 2022/08/05 18:09:56 - mmengine - INFO - Epoch(train) [199][20/161] lr: 1.4655e-02 eta: 0:37:42 time: 0.4773 data_time: 0.1372 memory: 9707 grad_norm: 0.8876 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0440 loss: 0.0440 2022/08/05 18:10:02 - mmengine - INFO - Epoch(train) [199][40/161] lr: 1.4571e-02 eta: 0:37:36 time: 0.3147 data_time: 0.0411 memory: 9707 grad_norm: 0.9868 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0705 loss: 0.0705 2022/08/05 18:10:08 - mmengine - INFO - Epoch(train) [199][60/161] lr: 1.4486e-02 eta: 0:37:29 time: 0.3217 data_time: 0.0446 memory: 9707 grad_norm: 1.0101 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0577 loss: 0.0577 2022/08/05 18:10:15 - mmengine - INFO - Epoch(train) [199][80/161] lr: 1.4402e-02 eta: 0:37:22 time: 0.3172 data_time: 0.0447 memory: 9707 grad_norm: 1.0917 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0797 loss: 0.0797 2022/08/05 18:10:21 - mmengine - INFO - Epoch(train) [199][100/161] lr: 1.4318e-02 eta: 0:37:15 time: 0.3198 data_time: 0.0412 memory: 9707 grad_norm: 0.9014 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0413 loss: 0.0413 2022/08/05 18:10:28 - mmengine - INFO - Epoch(train) [199][120/161] lr: 1.4234e-02 eta: 0:37:09 time: 0.3189 data_time: 0.0443 memory: 9707 grad_norm: 0.8626 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0663 loss: 0.0663 2022/08/05 18:10:28 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:10:34 - mmengine - INFO - Epoch(train) [199][140/161] lr: 1.4151e-02 eta: 0:37:02 time: 0.3216 data_time: 0.0443 memory: 9707 grad_norm: 1.0293 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0604 loss: 0.0604 2022/08/05 18:10:40 - mmengine - INFO - Epoch(train) [199][160/161] lr: 1.4068e-02 eta: 0:36:55 time: 0.2949 data_time: 0.0405 memory: 9707 grad_norm: 0.8155 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0398 loss: 0.0398 2022/08/05 18:10:40 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:10:40 - mmengine - INFO - Epoch(train) [199][161/161] lr: 1.4064e-02 eta: 0:36:55 time: 0.2828 data_time: 0.0400 memory: 652 grad_norm: 1.0882 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1608 loss: 0.1608 2022/08/05 18:10:50 - mmengine - INFO - Epoch(train) [200][20/161] lr: 1.3980e-02 eta: 0:36:48 time: 0.4859 data_time: 0.1381 memory: 9707 grad_norm: 0.8534 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0375 loss: 0.0375 2022/08/05 18:10:56 - mmengine - INFO - Epoch(train) [200][40/161] lr: 1.3898e-02 eta: 0:36:42 time: 0.3195 data_time: 0.0408 memory: 9707 grad_norm: 0.8995 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0446 loss: 0.0446 2022/08/05 18:11:03 - mmengine - INFO - Epoch(train) [200][60/161] lr: 1.3815e-02 eta: 0:36:35 time: 0.3167 data_time: 0.0448 memory: 9707 grad_norm: 0.9768 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0427 loss: 0.0427 2022/08/05 18:11:09 - mmengine - INFO - Epoch(train) [200][80/161] lr: 1.3733e-02 eta: 0:36:28 time: 0.3227 data_time: 0.0405 memory: 9707 grad_norm: 1.0870 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0859 loss: 0.0859 2022/08/05 18:11:15 - mmengine - INFO - Epoch(train) [200][100/161] lr: 1.3651e-02 eta: 0:36:21 time: 0.3145 data_time: 0.0395 memory: 9707 grad_norm: 1.0338 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0704 loss: 0.0704 2022/08/05 18:11:22 - mmengine - INFO - Epoch(train) [200][120/161] lr: 1.3569e-02 eta: 0:36:14 time: 0.3189 data_time: 0.0456 memory: 9707 grad_norm: 1.1653 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0618 loss: 0.0618 2022/08/05 18:11:28 - mmengine - INFO - Epoch(train) [200][140/161] lr: 1.3487e-02 eta: 0:36:08 time: 0.3172 data_time: 0.0437 memory: 9707 grad_norm: 1.1515 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0445 loss: 0.0445 2022/08/05 18:11:34 - mmengine - INFO - Epoch(train) [200][160/161] lr: 1.3406e-02 eta: 0:36:01 time: 0.2992 data_time: 0.0366 memory: 9707 grad_norm: 0.9745 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0535 loss: 0.0535 2022/08/05 18:11:34 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:11:34 - mmengine - INFO - Epoch(train) [200][161/161] lr: 1.3402e-02 eta: 0:36:01 time: 0.2824 data_time: 0.0352 memory: 652 grad_norm: 1.2925 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.2148 loss: 0.2148 2022/08/05 18:11:34 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/08/05 18:11:45 - mmengine - INFO - Epoch(val) [200][20/67] eta: 0:00:19 time: 0.4162 data_time: 0.2407 memory: 1868 2022/08/05 18:11:51 - mmengine - INFO - Epoch(val) [200][40/67] eta: 0:00:07 time: 0.2956 data_time: 0.1106 memory: 1868 2022/08/05 18:11:55 - mmengine - INFO - Epoch(val) [200][60/67] eta: 0:00:01 time: 0.2101 data_time: 0.0733 memory: 1868 2022/08/05 18:11:57 - mmengine - INFO - Epoch(val) [200][67/67] acc/top1: 0.9400 acc/top5: 0.9962 acc/mean1: 0.9169 2022/08/05 18:11:57 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_gym_limb/best_acc/top1_epoch_191.pth is removed 2022/08/05 18:11:59 - mmengine - INFO - The best checkpoint with 0.9400 acc/top1 at 201 epoch is saved to best_acc/top1_epoch_201.pth. 2022/08/05 18:12:08 - mmengine - INFO - Epoch(train) [201][20/161] lr: 1.3320e-02 eta: 0:35:54 time: 0.4230 data_time: 0.1602 memory: 9707 grad_norm: 0.9730 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0445 loss: 0.0445 2022/08/05 18:12:14 - mmengine - INFO - Epoch(train) [201][40/161] lr: 1.3239e-02 eta: 0:35:47 time: 0.3175 data_time: 0.0434 memory: 9707 grad_norm: 0.8939 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0475 loss: 0.0475 2022/08/05 18:12:21 - mmengine - INFO - Epoch(train) [201][60/161] lr: 1.3159e-02 eta: 0:35:41 time: 0.3232 data_time: 0.0408 memory: 9707 grad_norm: 0.9700 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0412 loss: 0.0412 2022/08/05 18:12:27 - mmengine - INFO - Epoch(train) [201][80/161] lr: 1.3078e-02 eta: 0:35:34 time: 0.3175 data_time: 0.0403 memory: 9707 grad_norm: 0.9563 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0492 loss: 0.0492 2022/08/05 18:12:33 - mmengine - INFO - Epoch(train) [201][100/161] lr: 1.2998e-02 eta: 0:35:27 time: 0.3203 data_time: 0.0433 memory: 9707 grad_norm: 1.0467 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0593 loss: 0.0593 2022/08/05 18:12:40 - mmengine - INFO - Epoch(train) [201][120/161] lr: 1.2918e-02 eta: 0:35:20 time: 0.3182 data_time: 0.0413 memory: 9707 grad_norm: 0.8846 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0482 loss: 0.0482 2022/08/05 18:12:46 - mmengine - INFO - Epoch(train) [201][140/161] lr: 1.2838e-02 eta: 0:35:13 time: 0.3140 data_time: 0.0394 memory: 9707 grad_norm: 0.8399 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0519 loss: 0.0519 2022/08/05 18:12:52 - mmengine - INFO - Epoch(train) [201][160/161] lr: 1.2758e-02 eta: 0:35:07 time: 0.2953 data_time: 0.0407 memory: 9707 grad_norm: 1.0806 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0554 loss: 0.0554 2022/08/05 18:12:52 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:12:52 - mmengine - INFO - Epoch(train) [201][161/161] lr: 1.2754e-02 eta: 0:35:07 time: 0.2824 data_time: 0.0384 memory: 652 grad_norm: 1.3269 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2468 loss: 0.2468 2022/08/05 18:13:01 - mmengine - INFO - Epoch(train) [202][20/161] lr: 1.2675e-02 eta: 0:35:00 time: 0.4712 data_time: 0.1633 memory: 9707 grad_norm: 1.0359 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0279 loss: 0.0279 2022/08/05 18:13:08 - mmengine - INFO - Epoch(train) [202][40/161] lr: 1.2596e-02 eta: 0:34:53 time: 0.3137 data_time: 0.0422 memory: 9707 grad_norm: 1.1029 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0367 loss: 0.0367 2022/08/05 18:13:14 - mmengine - INFO - Epoch(train) [202][60/161] lr: 1.2517e-02 eta: 0:34:46 time: 0.3303 data_time: 0.0474 memory: 9707 grad_norm: 0.8047 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0505 loss: 0.0505 2022/08/05 18:13:21 - mmengine - INFO - Epoch(train) [202][80/161] lr: 1.2438e-02 eta: 0:34:40 time: 0.3238 data_time: 0.0468 memory: 9707 grad_norm: 1.1068 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0424 loss: 0.0424 2022/08/05 18:13:27 - mmengine - INFO - Epoch(train) [202][100/161] lr: 1.2360e-02 eta: 0:34:33 time: 0.3137 data_time: 0.0398 memory: 9707 grad_norm: 0.9842 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0638 loss: 0.0638 2022/08/05 18:13:34 - mmengine - INFO - Epoch(train) [202][120/161] lr: 1.2282e-02 eta: 0:34:26 time: 0.3434 data_time: 0.0441 memory: 9707 grad_norm: 1.0479 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0425 loss: 0.0425 2022/08/05 18:13:40 - mmengine - INFO - Epoch(train) [202][140/161] lr: 1.2204e-02 eta: 0:34:19 time: 0.3198 data_time: 0.0397 memory: 9707 grad_norm: 1.0580 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0747 loss: 0.0747 2022/08/05 18:13:46 - mmengine - INFO - Epoch(train) [202][160/161] lr: 1.2126e-02 eta: 0:34:13 time: 0.2904 data_time: 0.0389 memory: 9707 grad_norm: 0.9504 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0535 loss: 0.0535 2022/08/05 18:13:46 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:13:46 - mmengine - INFO - Epoch(train) [202][161/161] lr: 1.2122e-02 eta: 0:34:13 time: 0.2806 data_time: 0.0368 memory: 652 grad_norm: 1.2190 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.2169 loss: 0.2169 2022/08/05 18:13:56 - mmengine - INFO - Epoch(train) [203][20/161] lr: 1.2045e-02 eta: 0:34:06 time: 0.4676 data_time: 0.1345 memory: 9707 grad_norm: 1.0213 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0566 loss: 0.0566 2022/08/05 18:14:02 - mmengine - INFO - Epoch(train) [203][40/161] lr: 1.1967e-02 eta: 0:33:59 time: 0.3327 data_time: 0.0384 memory: 9707 grad_norm: 0.9141 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0508 loss: 0.0508 2022/08/05 18:14:09 - mmengine - INFO - Epoch(train) [203][60/161] lr: 1.1890e-02 eta: 0:33:52 time: 0.3279 data_time: 0.0416 memory: 9707 grad_norm: 1.1525 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0383 loss: 0.0383 2022/08/05 18:14:15 - mmengine - INFO - Epoch(train) [203][80/161] lr: 1.1814e-02 eta: 0:33:46 time: 0.3141 data_time: 0.0427 memory: 9707 grad_norm: 1.0611 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0466 loss: 0.0466 2022/08/05 18:14:22 - mmengine - INFO - Epoch(train) [203][100/161] lr: 1.1737e-02 eta: 0:33:39 time: 0.3202 data_time: 0.0414 memory: 9707 grad_norm: 1.1414 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0384 loss: 0.0384 2022/08/05 18:14:28 - mmengine - INFO - Epoch(train) [203][120/161] lr: 1.1661e-02 eta: 0:33:32 time: 0.3159 data_time: 0.0412 memory: 9707 grad_norm: 1.0483 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0549 loss: 0.0549 2022/08/05 18:14:35 - mmengine - INFO - Epoch(train) [203][140/161] lr: 1.1585e-02 eta: 0:33:25 time: 0.3349 data_time: 0.0382 memory: 9707 grad_norm: 1.0044 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0455 loss: 0.0455 2022/08/05 18:14:41 - mmengine - INFO - Epoch(train) [203][160/161] lr: 1.1509e-02 eta: 0:33:19 time: 0.2988 data_time: 0.0366 memory: 9707 grad_norm: 0.9847 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0483 loss: 0.0483 2022/08/05 18:14:41 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:14:41 - mmengine - INFO - Epoch(train) [203][161/161] lr: 1.1505e-02 eta: 0:33:19 time: 0.2870 data_time: 0.0355 memory: 652 grad_norm: 1.3037 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2421 loss: 0.2421 2022/08/05 18:14:50 - mmengine - INFO - Epoch(train) [204][20/161] lr: 1.1429e-02 eta: 0:33:12 time: 0.4812 data_time: 0.1380 memory: 9707 grad_norm: 1.1298 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0505 loss: 0.0505 2022/08/05 18:14:57 - mmengine - INFO - Epoch(train) [204][40/161] lr: 1.1354e-02 eta: 0:33:05 time: 0.3176 data_time: 0.0409 memory: 9707 grad_norm: 0.8948 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0374 loss: 0.0374 2022/08/05 18:15:03 - mmengine - INFO - Epoch(train) [204][60/161] lr: 1.1279e-02 eta: 0:32:58 time: 0.3208 data_time: 0.0406 memory: 9707 grad_norm: 0.9585 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0479 loss: 0.0479 2022/08/05 18:15:10 - mmengine - INFO - Epoch(train) [204][80/161] lr: 1.1204e-02 eta: 0:32:52 time: 0.3355 data_time: 0.0426 memory: 9707 grad_norm: 0.9595 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0323 loss: 0.0323 2022/08/05 18:15:16 - mmengine - INFO - Epoch(train) [204][100/161] lr: 1.1129e-02 eta: 0:32:45 time: 0.3183 data_time: 0.0427 memory: 9707 grad_norm: 0.8467 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0277 loss: 0.0277 2022/08/05 18:15:23 - mmengine - INFO - Epoch(train) [204][120/161] lr: 1.1055e-02 eta: 0:32:38 time: 0.3241 data_time: 0.0435 memory: 9707 grad_norm: 0.8507 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0683 loss: 0.0683 2022/08/05 18:15:29 - mmengine - INFO - Epoch(train) [204][140/161] lr: 1.0981e-02 eta: 0:32:31 time: 0.3190 data_time: 0.0434 memory: 9707 grad_norm: 1.0168 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0647 loss: 0.0647 2022/08/05 18:15:35 - mmengine - INFO - Epoch(train) [204][160/161] lr: 1.0907e-02 eta: 0:32:25 time: 0.2932 data_time: 0.0367 memory: 9707 grad_norm: 0.8094 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0319 loss: 0.0319 2022/08/05 18:15:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:15:35 - mmengine - INFO - Epoch(train) [204][161/161] lr: 1.0903e-02 eta: 0:32:25 time: 0.2813 data_time: 0.0332 memory: 652 grad_norm: 1.1240 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.1999 loss: 0.1999 2022/08/05 18:15:44 - mmengine - INFO - Epoch(train) [205][20/161] lr: 1.0829e-02 eta: 0:32:18 time: 0.4668 data_time: 0.1438 memory: 9707 grad_norm: 1.1208 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0633 loss: 0.0633 2022/08/05 18:15:51 - mmengine - INFO - Epoch(train) [205][40/161] lr: 1.0756e-02 eta: 0:32:11 time: 0.3214 data_time: 0.0450 memory: 9707 grad_norm: 0.9173 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0365 loss: 0.0365 2022/08/05 18:15:57 - mmengine - INFO - Epoch(train) [205][60/161] lr: 1.0683e-02 eta: 0:32:04 time: 0.3154 data_time: 0.0417 memory: 9707 grad_norm: 0.9800 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0533 loss: 0.0533 2022/08/05 18:16:04 - mmengine - INFO - Epoch(train) [205][80/161] lr: 1.0610e-02 eta: 0:31:58 time: 0.3238 data_time: 0.0404 memory: 9707 grad_norm: 0.7356 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0255 loss: 0.0255 2022/08/05 18:16:10 - mmengine - INFO - Epoch(train) [205][100/161] lr: 1.0537e-02 eta: 0:31:51 time: 0.3254 data_time: 0.0399 memory: 9707 grad_norm: 0.7760 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0455 loss: 0.0455 2022/08/05 18:16:16 - mmengine - INFO - Epoch(train) [205][120/161] lr: 1.0464e-02 eta: 0:31:44 time: 0.3163 data_time: 0.0473 memory: 9707 grad_norm: 0.9911 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0361 loss: 0.0361 2022/08/05 18:16:23 - mmengine - INFO - Epoch(train) [205][140/161] lr: 1.0392e-02 eta: 0:31:37 time: 0.3184 data_time: 0.0363 memory: 9707 grad_norm: 0.8808 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0335 loss: 0.0335 2022/08/05 18:16:28 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:16:29 - mmengine - INFO - Epoch(train) [205][160/161] lr: 1.0320e-02 eta: 0:31:30 time: 0.2928 data_time: 0.0391 memory: 9707 grad_norm: 0.6692 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0387 loss: 0.0387 2022/08/05 18:16:29 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:16:29 - mmengine - INFO - Epoch(train) [205][161/161] lr: 1.0316e-02 eta: 0:31:30 time: 0.2838 data_time: 0.0380 memory: 652 grad_norm: 0.9296 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2588 loss: 0.2588 2022/08/05 18:16:38 - mmengine - INFO - Epoch(train) [206][20/161] lr: 1.0245e-02 eta: 0:31:24 time: 0.4733 data_time: 0.1586 memory: 9707 grad_norm: 0.8124 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0508 loss: 0.0508 2022/08/05 18:16:45 - mmengine - INFO - Epoch(train) [206][40/161] lr: 1.0173e-02 eta: 0:31:17 time: 0.3218 data_time: 0.0407 memory: 9707 grad_norm: 0.7392 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0312 loss: 0.0312 2022/08/05 18:16:51 - mmengine - INFO - Epoch(train) [206][60/161] lr: 1.0102e-02 eta: 0:31:10 time: 0.3183 data_time: 0.0406 memory: 9707 grad_norm: 0.7921 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0626 loss: 0.0626 2022/08/05 18:16:57 - mmengine - INFO - Epoch(train) [206][80/161] lr: 1.0030e-02 eta: 0:31:04 time: 0.3147 data_time: 0.0444 memory: 9707 grad_norm: 0.8221 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0362 loss: 0.0362 2022/08/05 18:17:04 - mmengine - INFO - Epoch(train) [206][100/161] lr: 9.9596e-03 eta: 0:30:57 time: 0.3183 data_time: 0.0418 memory: 9707 grad_norm: 0.8096 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0262 loss: 0.0262 2022/08/05 18:17:10 - mmengine - INFO - Epoch(train) [206][120/161] lr: 9.8890e-03 eta: 0:30:50 time: 0.3223 data_time: 0.0412 memory: 9707 grad_norm: 0.9775 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0396 loss: 0.0396 2022/08/05 18:17:17 - mmengine - INFO - Epoch(train) [206][140/161] lr: 9.8186e-03 eta: 0:30:43 time: 0.3169 data_time: 0.0399 memory: 9707 grad_norm: 1.0428 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0431 loss: 0.0431 2022/08/05 18:17:23 - mmengine - INFO - Epoch(train) [206][160/161] lr: 9.7485e-03 eta: 0:30:36 time: 0.3084 data_time: 0.0371 memory: 9707 grad_norm: 0.9699 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0392 loss: 0.0392 2022/08/05 18:17:23 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:17:23 - mmengine - INFO - Epoch(train) [206][161/161] lr: 9.7450e-03 eta: 0:30:36 time: 0.2973 data_time: 0.0356 memory: 652 grad_norm: 1.1709 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2569 loss: 0.2569 2022/08/05 18:17:32 - mmengine - INFO - Epoch(train) [207][20/161] lr: 9.6751e-03 eta: 0:30:30 time: 0.4686 data_time: 0.1526 memory: 9707 grad_norm: 0.8581 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0482 loss: 0.0482 2022/08/05 18:17:39 - mmengine - INFO - Epoch(train) [207][40/161] lr: 9.6054e-03 eta: 0:30:23 time: 0.3152 data_time: 0.0440 memory: 9707 grad_norm: 0.8901 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0532 loss: 0.0532 2022/08/05 18:17:45 - mmengine - INFO - Epoch(train) [207][60/161] lr: 9.5360e-03 eta: 0:30:16 time: 0.3264 data_time: 0.0452 memory: 9707 grad_norm: 0.9798 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0403 loss: 0.0403 2022/08/05 18:17:52 - mmengine - INFO - Epoch(train) [207][80/161] lr: 9.4668e-03 eta: 0:30:09 time: 0.3231 data_time: 0.0446 memory: 9707 grad_norm: 0.9049 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0436 loss: 0.0436 2022/08/05 18:17:58 - mmengine - INFO - Epoch(train) [207][100/161] lr: 9.3979e-03 eta: 0:30:03 time: 0.3176 data_time: 0.0417 memory: 9707 grad_norm: 0.8572 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0294 loss: 0.0294 2022/08/05 18:18:04 - mmengine - INFO - Epoch(train) [207][120/161] lr: 9.3292e-03 eta: 0:29:56 time: 0.3208 data_time: 0.0434 memory: 9707 grad_norm: 0.8325 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0267 loss: 0.0267 2022/08/05 18:18:11 - mmengine - INFO - Epoch(train) [207][140/161] lr: 9.2607e-03 eta: 0:29:49 time: 0.3214 data_time: 0.0432 memory: 9707 grad_norm: 0.8978 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0412 loss: 0.0412 2022/08/05 18:18:17 - mmengine - INFO - Epoch(train) [207][160/161] lr: 9.1925e-03 eta: 0:29:42 time: 0.2927 data_time: 0.0374 memory: 9707 grad_norm: 0.9066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0389 loss: 0.0389 2022/08/05 18:18:17 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:18:17 - mmengine - INFO - Epoch(train) [207][161/161] lr: 9.1891e-03 eta: 0:29:42 time: 0.2792 data_time: 0.0341 memory: 652 grad_norm: 1.2965 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2169 loss: 0.2169 2022/08/05 18:18:26 - mmengine - INFO - Epoch(train) [208][20/161] lr: 9.1211e-03 eta: 0:29:36 time: 0.4646 data_time: 0.1607 memory: 9707 grad_norm: 0.9842 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0377 loss: 0.0377 2022/08/05 18:18:33 - mmengine - INFO - Epoch(train) [208][40/161] lr: 9.0534e-03 eta: 0:29:29 time: 0.3288 data_time: 0.0432 memory: 9707 grad_norm: 1.0985 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0528 loss: 0.0528 2022/08/05 18:18:39 - mmengine - INFO - Epoch(train) [208][60/161] lr: 8.9859e-03 eta: 0:29:22 time: 0.3177 data_time: 0.0430 memory: 9707 grad_norm: 0.8016 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0299 loss: 0.0299 2022/08/05 18:18:45 - mmengine - INFO - Epoch(train) [208][80/161] lr: 8.9187e-03 eta: 0:29:15 time: 0.3172 data_time: 0.0447 memory: 9707 grad_norm: 0.8674 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0594 loss: 0.0594 2022/08/05 18:18:52 - mmengine - INFO - Epoch(train) [208][100/161] lr: 8.8516e-03 eta: 0:29:09 time: 0.3187 data_time: 0.0426 memory: 9707 grad_norm: 0.8557 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0449 loss: 0.0449 2022/08/05 18:18:58 - mmengine - INFO - Epoch(train) [208][120/161] lr: 8.7849e-03 eta: 0:29:02 time: 0.3170 data_time: 0.0428 memory: 9707 grad_norm: 0.9224 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0286 loss: 0.0286 2022/08/05 18:19:05 - mmengine - INFO - Epoch(train) [208][140/161] lr: 8.7184e-03 eta: 0:28:55 time: 0.3237 data_time: 0.0400 memory: 9707 grad_norm: 0.8075 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0321 loss: 0.0321 2022/08/05 18:19:11 - mmengine - INFO - Epoch(train) [208][160/161] lr: 8.6521e-03 eta: 0:28:48 time: 0.3126 data_time: 0.0443 memory: 9707 grad_norm: 0.8053 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0390 loss: 0.0390 2022/08/05 18:19:11 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:19:11 - mmengine - INFO - Epoch(train) [208][161/161] lr: 8.6488e-03 eta: 0:28:48 time: 0.3010 data_time: 0.0421 memory: 652 grad_norm: 1.1245 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2294 loss: 0.2294 2022/08/05 18:19:20 - mmengine - INFO - Epoch(train) [209][20/161] lr: 8.5827e-03 eta: 0:28:42 time: 0.4690 data_time: 0.1387 memory: 9707 grad_norm: 1.0257 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0260 loss: 0.0260 2022/08/05 18:19:27 - mmengine - INFO - Epoch(train) [209][40/161] lr: 8.5169e-03 eta: 0:28:35 time: 0.3168 data_time: 0.0389 memory: 9707 grad_norm: 0.9266 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0400 loss: 0.0400 2022/08/05 18:19:33 - mmengine - INFO - Epoch(train) [209][60/161] lr: 8.4514e-03 eta: 0:28:28 time: 0.3225 data_time: 0.0405 memory: 9707 grad_norm: 0.9750 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0301 loss: 0.0301 2022/08/05 18:19:39 - mmengine - INFO - Epoch(train) [209][80/161] lr: 8.3861e-03 eta: 0:28:21 time: 0.3176 data_time: 0.0431 memory: 9707 grad_norm: 0.9605 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0268 loss: 0.0268 2022/08/05 18:19:46 - mmengine - INFO - Epoch(train) [209][100/161] lr: 8.3210e-03 eta: 0:28:15 time: 0.3177 data_time: 0.0381 memory: 9707 grad_norm: 0.8493 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0415 loss: 0.0415 2022/08/05 18:19:52 - mmengine - INFO - Epoch(train) [209][120/161] lr: 8.2562e-03 eta: 0:28:08 time: 0.3213 data_time: 0.0450 memory: 9707 grad_norm: 0.8351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0454 loss: 0.0454 2022/08/05 18:19:59 - mmengine - INFO - Epoch(train) [209][140/161] lr: 8.1916e-03 eta: 0:28:01 time: 0.3129 data_time: 0.0390 memory: 9707 grad_norm: 0.8833 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0386 loss: 0.0386 2022/08/05 18:20:04 - mmengine - INFO - Epoch(train) [209][160/161] lr: 8.1273e-03 eta: 0:27:54 time: 0.2951 data_time: 0.0379 memory: 9707 grad_norm: 0.8185 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0367 loss: 0.0367 2022/08/05 18:20:05 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:20:05 - mmengine - INFO - Epoch(train) [209][161/161] lr: 8.1241e-03 eta: 0:27:54 time: 0.2831 data_time: 0.0352 memory: 652 grad_norm: 1.0935 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2606 loss: 0.2606 2022/08/05 18:20:14 - mmengine - INFO - Epoch(train) [210][20/161] lr: 8.0600e-03 eta: 0:27:48 time: 0.4605 data_time: 0.1376 memory: 9707 grad_norm: 0.8926 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0216 loss: 0.0216 2022/08/05 18:20:20 - mmengine - INFO - Epoch(train) [210][40/161] lr: 7.9962e-03 eta: 0:27:41 time: 0.3180 data_time: 0.0387 memory: 9707 grad_norm: 0.9309 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0333 loss: 0.0333 2022/08/05 18:20:26 - mmengine - INFO - Epoch(train) [210][60/161] lr: 7.9326e-03 eta: 0:27:34 time: 0.3163 data_time: 0.0379 memory: 9707 grad_norm: 0.8240 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0368 loss: 0.0368 2022/08/05 18:20:33 - mmengine - INFO - Epoch(train) [210][80/161] lr: 7.8692e-03 eta: 0:27:27 time: 0.3237 data_time: 0.0438 memory: 9707 grad_norm: 0.8441 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0333 loss: 0.0333 2022/08/05 18:20:39 - mmengine - INFO - Epoch(train) [210][100/161] lr: 7.8061e-03 eta: 0:27:20 time: 0.3170 data_time: 0.0371 memory: 9707 grad_norm: 0.8045 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0353 loss: 0.0353 2022/08/05 18:20:46 - mmengine - INFO - Epoch(train) [210][120/161] lr: 7.7433e-03 eta: 0:27:14 time: 0.3178 data_time: 0.0415 memory: 9707 grad_norm: 1.1570 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0466 loss: 0.0466 2022/08/05 18:20:52 - mmengine - INFO - Epoch(train) [210][140/161] lr: 7.6806e-03 eta: 0:27:07 time: 0.3207 data_time: 0.0405 memory: 9707 grad_norm: 0.8167 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0578 loss: 0.0578 2022/08/05 18:20:58 - mmengine - INFO - Epoch(train) [210][160/161] lr: 7.6183e-03 eta: 0:27:00 time: 0.2929 data_time: 0.0400 memory: 9707 grad_norm: 0.6813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0279 loss: 0.0279 2022/08/05 18:20:58 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:20:58 - mmengine - INFO - Epoch(train) [210][161/161] lr: 7.6152e-03 eta: 0:27:00 time: 0.2823 data_time: 0.0378 memory: 652 grad_norm: 1.0268 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.1955 loss: 0.1955 2022/08/05 18:20:58 - mmengine - INFO - Saving checkpoint at 210 epochs 2022/08/05 18:21:10 - mmengine - INFO - Epoch(val) [210][20/67] eta: 0:00:20 time: 0.4383 data_time: 0.2581 memory: 1868 2022/08/05 18:21:15 - mmengine - INFO - Epoch(val) [210][40/67] eta: 0:00:07 time: 0.2907 data_time: 0.1096 memory: 1868 2022/08/05 18:21:20 - mmengine - INFO - Epoch(val) [210][60/67] eta: 0:00:01 time: 0.2077 data_time: 0.0711 memory: 1868 2022/08/05 18:21:21 - mmengine - INFO - Epoch(val) [210][67/67] acc/top1: 0.9443 acc/top5: 0.9971 acc/mean1: 0.9249 2022/08/05 18:21:21 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_gym_limb/best_acc/top1_epoch_201.pth is removed 2022/08/05 18:21:23 - mmengine - INFO - The best checkpoint with 0.9443 acc/top1 at 211 epoch is saved to best_acc/top1_epoch_211.pth. 2022/08/05 18:21:32 - mmengine - INFO - Epoch(train) [211][20/161] lr: 7.5530e-03 eta: 0:26:53 time: 0.4197 data_time: 0.1333 memory: 9707 grad_norm: 0.9218 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0434 loss: 0.0434 2022/08/05 18:21:38 - mmengine - INFO - Epoch(train) [211][40/161] lr: 7.4912e-03 eta: 0:26:47 time: 0.3159 data_time: 0.0405 memory: 9707 grad_norm: 0.8436 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0245 loss: 0.0245 2022/08/05 18:21:45 - mmengine - INFO - Epoch(train) [211][60/161] lr: 7.4295e-03 eta: 0:26:40 time: 0.3410 data_time: 0.0405 memory: 9707 grad_norm: 0.8802 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0393 loss: 0.0393 2022/08/05 18:21:51 - mmengine - INFO - Epoch(train) [211][80/161] lr: 7.3682e-03 eta: 0:26:33 time: 0.3166 data_time: 0.0408 memory: 9707 grad_norm: 0.8218 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0443 loss: 0.0443 2022/08/05 18:21:58 - mmengine - INFO - Epoch(train) [211][100/161] lr: 7.3070e-03 eta: 0:26:26 time: 0.3141 data_time: 0.0380 memory: 9707 grad_norm: 0.7123 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0273 loss: 0.0273 2022/08/05 18:22:04 - mmengine - INFO - Epoch(train) [211][120/161] lr: 7.2461e-03 eta: 0:26:20 time: 0.3216 data_time: 0.0409 memory: 9707 grad_norm: 0.7039 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0276 loss: 0.0276 2022/08/05 18:22:10 - mmengine - INFO - Epoch(train) [211][140/161] lr: 7.1855e-03 eta: 0:26:13 time: 0.3199 data_time: 0.0460 memory: 9707 grad_norm: 0.6703 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0265 loss: 0.0265 2022/08/05 18:22:16 - mmengine - INFO - Epoch(train) [211][160/161] lr: 7.1251e-03 eta: 0:26:06 time: 0.2897 data_time: 0.0365 memory: 9707 grad_norm: 0.9396 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0354 loss: 0.0354 2022/08/05 18:22:16 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:22:16 - mmengine - INFO - Epoch(train) [211][161/161] lr: 7.1221e-03 eta: 0:26:06 time: 0.2796 data_time: 0.0346 memory: 652 grad_norm: 1.2517 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1271 loss: 0.1271 2022/08/05 18:22:26 - mmengine - INFO - Epoch(train) [212][20/161] lr: 7.0619e-03 eta: 0:25:59 time: 0.4688 data_time: 0.1455 memory: 9707 grad_norm: 0.6719 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0262 loss: 0.0262 2022/08/05 18:22:29 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:22:32 - mmengine - INFO - Epoch(train) [212][40/161] lr: 7.0020e-03 eta: 0:25:52 time: 0.3207 data_time: 0.0407 memory: 9707 grad_norm: 0.8731 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0317 loss: 0.0317 2022/08/05 18:22:38 - mmengine - INFO - Epoch(train) [212][60/161] lr: 6.9424e-03 eta: 0:25:46 time: 0.3167 data_time: 0.0383 memory: 9707 grad_norm: 0.8165 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0293 loss: 0.0293 2022/08/05 18:22:45 - mmengine - INFO - Epoch(train) [212][80/161] lr: 6.8830e-03 eta: 0:25:39 time: 0.3216 data_time: 0.0435 memory: 9707 grad_norm: 0.7159 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0360 loss: 0.0360 2022/08/05 18:22:51 - mmengine - INFO - Epoch(train) [212][100/161] lr: 6.8238e-03 eta: 0:25:32 time: 0.3227 data_time: 0.0416 memory: 9707 grad_norm: 0.7627 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0234 loss: 0.0234 2022/08/05 18:22:58 - mmengine - INFO - Epoch(train) [212][120/161] lr: 6.7649e-03 eta: 0:25:25 time: 0.3209 data_time: 0.0442 memory: 9707 grad_norm: 0.7622 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0364 loss: 0.0364 2022/08/05 18:23:04 - mmengine - INFO - Epoch(train) [212][140/161] lr: 6.7062e-03 eta: 0:25:19 time: 0.3222 data_time: 0.0474 memory: 9707 grad_norm: 0.6661 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0295 loss: 0.0295 2022/08/05 18:23:10 - mmengine - INFO - Epoch(train) [212][160/161] lr: 6.6478e-03 eta: 0:25:12 time: 0.3000 data_time: 0.0418 memory: 9707 grad_norm: 0.7749 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0364 loss: 0.0364 2022/08/05 18:23:10 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:23:10 - mmengine - INFO - Epoch(train) [212][161/161] lr: 6.6449e-03 eta: 0:25:12 time: 0.2861 data_time: 0.0385 memory: 652 grad_norm: 1.0716 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2075 loss: 0.2075 2022/08/05 18:23:20 - mmengine - INFO - Epoch(train) [213][20/161] lr: 6.5867e-03 eta: 0:25:05 time: 0.4869 data_time: 0.1404 memory: 9707 grad_norm: 0.7412 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0270 loss: 0.0270 2022/08/05 18:23:26 - mmengine - INFO - Epoch(train) [213][40/161] lr: 6.5288e-03 eta: 0:24:58 time: 0.3158 data_time: 0.0426 memory: 9707 grad_norm: 0.7716 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0276 loss: 0.0276 2022/08/05 18:23:33 - mmengine - INFO - Epoch(train) [213][60/161] lr: 6.4711e-03 eta: 0:24:52 time: 0.3182 data_time: 0.0408 memory: 9707 grad_norm: 0.7612 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0222 loss: 0.0222 2022/08/05 18:23:39 - mmengine - INFO - Epoch(train) [213][80/161] lr: 6.4137e-03 eta: 0:24:45 time: 0.3179 data_time: 0.0457 memory: 9707 grad_norm: 0.7100 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0223 loss: 0.0223 2022/08/05 18:23:46 - mmengine - INFO - Epoch(train) [213][100/161] lr: 6.3565e-03 eta: 0:24:38 time: 0.3234 data_time: 0.0440 memory: 9707 grad_norm: 0.6796 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0164 loss: 0.0164 2022/08/05 18:23:52 - mmengine - INFO - Epoch(train) [213][120/161] lr: 6.2996e-03 eta: 0:24:32 time: 0.3292 data_time: 0.0437 memory: 9707 grad_norm: 0.7776 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0407 loss: 0.0407 2022/08/05 18:23:59 - mmengine - INFO - Epoch(train) [213][140/161] lr: 6.2429e-03 eta: 0:24:25 time: 0.3158 data_time: 0.0405 memory: 9707 grad_norm: 0.9073 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0406 loss: 0.0406 2022/08/05 18:24:04 - mmengine - INFO - Epoch(train) [213][160/161] lr: 6.1865e-03 eta: 0:24:18 time: 0.2974 data_time: 0.0377 memory: 9707 grad_norm: 0.6090 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0312 loss: 0.0312 2022/08/05 18:24:05 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:24:05 - mmengine - INFO - Epoch(train) [213][161/161] lr: 6.1837e-03 eta: 0:24:18 time: 0.2873 data_time: 0.0359 memory: 652 grad_norm: 0.9014 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2567 loss: 0.2567 2022/08/05 18:24:14 - mmengine - INFO - Epoch(train) [214][20/161] lr: 6.1275e-03 eta: 0:24:11 time: 0.4733 data_time: 0.1530 memory: 9707 grad_norm: 0.8299 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0298 loss: 0.0298 2022/08/05 18:24:21 - mmengine - INFO - Epoch(train) [214][40/161] lr: 6.0716e-03 eta: 0:24:04 time: 0.3216 data_time: 0.0408 memory: 9707 grad_norm: 0.8498 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0402 loss: 0.0402 2022/08/05 18:24:27 - mmengine - INFO - Epoch(train) [214][60/161] lr: 6.0159e-03 eta: 0:23:58 time: 0.3104 data_time: 0.0361 memory: 9707 grad_norm: 0.7437 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0265 loss: 0.0265 2022/08/05 18:24:33 - mmengine - INFO - Epoch(train) [214][80/161] lr: 5.9605e-03 eta: 0:23:51 time: 0.3185 data_time: 0.0404 memory: 9707 grad_norm: 0.9547 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0366 loss: 0.0366 2022/08/05 18:24:40 - mmengine - INFO - Epoch(train) [214][100/161] lr: 5.9053e-03 eta: 0:23:44 time: 0.3212 data_time: 0.0409 memory: 9707 grad_norm: 1.0149 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0219 loss: 0.0219 2022/08/05 18:24:46 - mmengine - INFO - Epoch(train) [214][120/161] lr: 5.8504e-03 eta: 0:23:37 time: 0.3212 data_time: 0.0434 memory: 9707 grad_norm: 0.9058 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0514 loss: 0.0514 2022/08/05 18:24:52 - mmengine - INFO - Epoch(train) [214][140/161] lr: 5.7957e-03 eta: 0:23:31 time: 0.3187 data_time: 0.0383 memory: 9707 grad_norm: 0.6449 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0251 loss: 0.0251 2022/08/05 18:24:58 - mmengine - INFO - Epoch(train) [214][160/161] lr: 5.7413e-03 eta: 0:23:24 time: 0.2919 data_time: 0.0378 memory: 9707 grad_norm: 0.7770 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0397 loss: 0.0397 2022/08/05 18:24:58 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:24:58 - mmengine - INFO - Epoch(train) [214][161/161] lr: 5.7386e-03 eta: 0:23:24 time: 0.2797 data_time: 0.0349 memory: 652 grad_norm: 1.0740 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.3035 loss: 0.3035 2022/08/05 18:25:08 - mmengine - INFO - Epoch(train) [215][20/161] lr: 5.6844e-03 eta: 0:23:17 time: 0.4663 data_time: 0.1470 memory: 9707 grad_norm: 0.7873 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0270 loss: 0.0270 2022/08/05 18:25:14 - mmengine - INFO - Epoch(train) [215][40/161] lr: 5.6305e-03 eta: 0:23:10 time: 0.3172 data_time: 0.0410 memory: 9707 grad_norm: 0.7409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0196 loss: 0.0196 2022/08/05 18:25:20 - mmengine - INFO - Epoch(train) [215][60/161] lr: 5.5768e-03 eta: 0:23:04 time: 0.3200 data_time: 0.0393 memory: 9707 grad_norm: 0.7716 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0293 loss: 0.0293 2022/08/05 18:25:27 - mmengine - INFO - Epoch(train) [215][80/161] lr: 5.5234e-03 eta: 0:22:57 time: 0.3164 data_time: 0.0423 memory: 9707 grad_norm: 0.7815 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0259 loss: 0.0259 2022/08/05 18:25:33 - mmengine - INFO - Epoch(train) [215][100/161] lr: 5.4702e-03 eta: 0:22:50 time: 0.3246 data_time: 0.0403 memory: 9707 grad_norm: 0.8629 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0272 loss: 0.0272 2022/08/05 18:25:40 - mmengine - INFO - Epoch(train) [215][120/161] lr: 5.4173e-03 eta: 0:22:43 time: 0.3151 data_time: 0.0434 memory: 9707 grad_norm: 0.7461 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0302 loss: 0.0302 2022/08/05 18:25:46 - mmengine - INFO - Epoch(train) [215][140/161] lr: 5.3646e-03 eta: 0:22:37 time: 0.3311 data_time: 0.0525 memory: 9707 grad_norm: 0.8455 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0339 loss: 0.0339 2022/08/05 18:25:52 - mmengine - INFO - Epoch(train) [215][160/161] lr: 5.3122e-03 eta: 0:22:30 time: 0.2931 data_time: 0.0386 memory: 9707 grad_norm: 0.8412 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0363 loss: 0.0363 2022/08/05 18:25:52 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:25:52 - mmengine - INFO - Epoch(train) [215][161/161] lr: 5.3096e-03 eta: 0:22:30 time: 0.2814 data_time: 0.0369 memory: 652 grad_norm: 1.1407 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2224 loss: 0.2224 2022/08/05 18:26:02 - mmengine - INFO - Epoch(train) [216][20/161] lr: 5.2574e-03 eta: 0:22:23 time: 0.4840 data_time: 0.1493 memory: 9707 grad_norm: 0.7619 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0361 loss: 0.0361 2022/08/05 18:26:08 - mmengine - INFO - Epoch(train) [216][40/161] lr: 5.2055e-03 eta: 0:22:16 time: 0.3144 data_time: 0.0390 memory: 9707 grad_norm: 0.8433 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0328 loss: 0.0328 2022/08/05 18:26:15 - mmengine - INFO - Epoch(train) [216][60/161] lr: 5.1539e-03 eta: 0:22:10 time: 0.3224 data_time: 0.0396 memory: 9707 grad_norm: 1.0048 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0451 loss: 0.0451 2022/08/05 18:26:21 - mmengine - INFO - Epoch(train) [216][80/161] lr: 5.1025e-03 eta: 0:22:03 time: 0.3282 data_time: 0.0428 memory: 9707 grad_norm: 1.0056 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0477 loss: 0.0477 2022/08/05 18:26:27 - mmengine - INFO - Epoch(train) [216][100/161] lr: 5.0513e-03 eta: 0:21:56 time: 0.3161 data_time: 0.0404 memory: 9707 grad_norm: 0.8700 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0184 loss: 0.0184 2022/08/05 18:26:34 - mmengine - INFO - Epoch(train) [216][120/161] lr: 5.0004e-03 eta: 0:21:49 time: 0.3212 data_time: 0.0417 memory: 9707 grad_norm: 0.7845 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0340 loss: 0.0340 2022/08/05 18:26:40 - mmengine - INFO - Epoch(train) [216][140/161] lr: 4.9498e-03 eta: 0:21:43 time: 0.3218 data_time: 0.0406 memory: 9707 grad_norm: 0.7103 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0436 loss: 0.0436 2022/08/05 18:26:46 - mmengine - INFO - Epoch(train) [216][160/161] lr: 4.8994e-03 eta: 0:21:36 time: 0.2940 data_time: 0.0391 memory: 9707 grad_norm: 0.8004 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0318 loss: 0.0318 2022/08/05 18:26:46 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:26:46 - mmengine - INFO - Epoch(train) [216][161/161] lr: 4.8969e-03 eta: 0:21:36 time: 0.2802 data_time: 0.0341 memory: 652 grad_norm: 1.0780 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2995 loss: 0.2995 2022/08/05 18:26:56 - mmengine - INFO - Epoch(train) [217][20/161] lr: 4.8467e-03 eta: 0:21:29 time: 0.4619 data_time: 0.1432 memory: 9707 grad_norm: 0.7817 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0268 loss: 0.0268 2022/08/05 18:27:03 - mmengine - INFO - Epoch(train) [217][40/161] lr: 4.7968e-03 eta: 0:21:22 time: 0.3744 data_time: 0.0518 memory: 9707 grad_norm: 0.7485 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0333 loss: 0.0333 2022/08/05 18:27:09 - mmengine - INFO - Epoch(train) [217][60/161] lr: 4.7472e-03 eta: 0:21:16 time: 0.3151 data_time: 0.0412 memory: 9707 grad_norm: 0.8425 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0277 loss: 0.0277 2022/08/05 18:27:16 - mmengine - INFO - Epoch(train) [217][80/161] lr: 4.6978e-03 eta: 0:21:09 time: 0.3212 data_time: 0.0466 memory: 9707 grad_norm: 0.8576 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0203 loss: 0.0203 2022/08/05 18:27:22 - mmengine - INFO - Epoch(train) [217][100/161] lr: 4.6487e-03 eta: 0:21:02 time: 0.3239 data_time: 0.0384 memory: 9707 grad_norm: 0.8290 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0326 loss: 0.0326 2022/08/05 18:27:29 - mmengine - INFO - Epoch(train) [217][120/161] lr: 4.5998e-03 eta: 0:20:55 time: 0.3189 data_time: 0.0451 memory: 9707 grad_norm: 0.7903 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0447 loss: 0.0447 2022/08/05 18:27:35 - mmengine - INFO - Epoch(train) [217][140/161] lr: 4.5512e-03 eta: 0:20:49 time: 0.3168 data_time: 0.0421 memory: 9707 grad_norm: 0.8380 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0226 loss: 0.0226 2022/08/05 18:27:41 - mmengine - INFO - Epoch(train) [217][160/161] lr: 4.5028e-03 eta: 0:20:42 time: 0.3182 data_time: 0.0428 memory: 9707 grad_norm: 0.7087 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0210 loss: 0.0210 2022/08/05 18:27:42 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:27:42 - mmengine - INFO - Epoch(train) [217][161/161] lr: 4.5004e-03 eta: 0:20:42 time: 0.3099 data_time: 0.0403 memory: 652 grad_norm: 0.9997 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1306 loss: 0.1306 2022/08/05 18:27:51 - mmengine - INFO - Epoch(train) [218][20/161] lr: 4.4523e-03 eta: 0:20:35 time: 0.4714 data_time: 0.1467 memory: 9707 grad_norm: 0.6718 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0223 loss: 0.0223 2022/08/05 18:27:57 - mmengine - INFO - Epoch(train) [218][40/161] lr: 4.4045e-03 eta: 0:20:28 time: 0.3164 data_time: 0.0433 memory: 9707 grad_norm: 0.6491 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0379 loss: 0.0379 2022/08/05 18:28:04 - mmengine - INFO - Epoch(train) [218][60/161] lr: 4.3569e-03 eta: 0:20:22 time: 0.3572 data_time: 0.0392 memory: 9707 grad_norm: 0.8142 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0265 loss: 0.0265 2022/08/05 18:28:05 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:28:11 - mmengine - INFO - Epoch(train) [218][80/161] lr: 4.3095e-03 eta: 0:20:15 time: 0.3159 data_time: 0.0414 memory: 9707 grad_norm: 0.6325 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0239 loss: 0.0239 2022/08/05 18:28:17 - mmengine - INFO - Epoch(train) [218][100/161] lr: 4.2624e-03 eta: 0:20:08 time: 0.3145 data_time: 0.0426 memory: 9707 grad_norm: 0.5518 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0463 loss: 0.0463 2022/08/05 18:28:24 - mmengine - INFO - Epoch(train) [218][120/161] lr: 4.2156e-03 eta: 0:20:02 time: 0.3348 data_time: 0.0434 memory: 9707 grad_norm: 0.7136 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0318 loss: 0.0318 2022/08/05 18:28:30 - mmengine - INFO - Epoch(train) [218][140/161] lr: 4.1690e-03 eta: 0:19:55 time: 0.3197 data_time: 0.0436 memory: 9707 grad_norm: 0.7266 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0341 loss: 0.0341 2022/08/05 18:28:36 - mmengine - INFO - Epoch(train) [218][160/161] lr: 4.1226e-03 eta: 0:19:48 time: 0.2917 data_time: 0.0370 memory: 9707 grad_norm: 0.6242 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0297 loss: 0.0297 2022/08/05 18:28:36 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:28:36 - mmengine - INFO - Epoch(train) [218][161/161] lr: 4.1203e-03 eta: 0:19:48 time: 0.2825 data_time: 0.0351 memory: 652 grad_norm: 0.8661 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.1874 loss: 0.1874 2022/08/05 18:28:46 - mmengine - INFO - Epoch(train) [219][20/161] lr: 4.0743e-03 eta: 0:19:41 time: 0.4689 data_time: 0.1420 memory: 9707 grad_norm: 0.7385 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0421 loss: 0.0421 2022/08/05 18:28:52 - mmengine - INFO - Epoch(train) [219][40/161] lr: 4.0285e-03 eta: 0:19:34 time: 0.3161 data_time: 0.0420 memory: 9707 grad_norm: 0.6822 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0184 loss: 0.0184 2022/08/05 18:28:58 - mmengine - INFO - Epoch(train) [219][60/161] lr: 3.9829e-03 eta: 0:19:28 time: 0.3171 data_time: 0.0415 memory: 9707 grad_norm: 0.8087 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0270 loss: 0.0270 2022/08/05 18:29:05 - mmengine - INFO - Epoch(train) [219][80/161] lr: 3.9376e-03 eta: 0:19:21 time: 0.3227 data_time: 0.0403 memory: 9707 grad_norm: 0.7977 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0347 loss: 0.0347 2022/08/05 18:29:11 - mmengine - INFO - Epoch(train) [219][100/161] lr: 3.8925e-03 eta: 0:19:14 time: 0.3169 data_time: 0.0405 memory: 9707 grad_norm: 0.6880 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0367 loss: 0.0367 2022/08/05 18:29:17 - mmengine - INFO - Epoch(train) [219][120/161] lr: 3.8477e-03 eta: 0:19:07 time: 0.3170 data_time: 0.0403 memory: 9707 grad_norm: 0.6543 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0182 loss: 0.0182 2022/08/05 18:29:24 - mmengine - INFO - Epoch(train) [219][140/161] lr: 3.8032e-03 eta: 0:19:01 time: 0.3269 data_time: 0.0420 memory: 9707 grad_norm: 0.7971 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0217 loss: 0.0217 2022/08/05 18:29:30 - mmengine - INFO - Epoch(train) [219][160/161] lr: 3.7589e-03 eta: 0:18:54 time: 0.2926 data_time: 0.0421 memory: 9707 grad_norm: 0.6214 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0245 loss: 0.0245 2022/08/05 18:29:30 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:29:30 - mmengine - INFO - Epoch(train) [219][161/161] lr: 3.7567e-03 eta: 0:18:54 time: 0.2814 data_time: 0.0412 memory: 652 grad_norm: 0.9371 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.1963 loss: 0.1963 2022/08/05 18:29:39 - mmengine - INFO - Epoch(train) [220][20/161] lr: 3.7127e-03 eta: 0:18:47 time: 0.4665 data_time: 0.1497 memory: 9707 grad_norm: 0.6331 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0232 loss: 0.0232 2022/08/05 18:29:46 - mmengine - INFO - Epoch(train) [220][40/161] lr: 3.6689e-03 eta: 0:18:40 time: 0.3323 data_time: 0.0485 memory: 9707 grad_norm: 0.7194 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0207 loss: 0.0207 2022/08/05 18:29:52 - mmengine - INFO - Epoch(train) [220][60/161] lr: 3.6254e-03 eta: 0:18:34 time: 0.3174 data_time: 0.0398 memory: 9707 grad_norm: 0.6949 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0326 loss: 0.0326 2022/08/05 18:29:59 - mmengine - INFO - Epoch(train) [220][80/161] lr: 3.5821e-03 eta: 0:18:27 time: 0.3173 data_time: 0.0417 memory: 9707 grad_norm: 0.7411 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0386 loss: 0.0386 2022/08/05 18:30:05 - mmengine - INFO - Epoch(train) [220][100/161] lr: 3.5391e-03 eta: 0:18:20 time: 0.3271 data_time: 0.0382 memory: 9707 grad_norm: 0.5824 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0287 loss: 0.0287 2022/08/05 18:30:12 - mmengine - INFO - Epoch(train) [220][120/161] lr: 3.4964e-03 eta: 0:18:13 time: 0.3211 data_time: 0.0467 memory: 9707 grad_norm: 0.6054 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0194 loss: 0.0194 2022/08/05 18:30:18 - mmengine - INFO - Epoch(train) [220][140/161] lr: 3.4539e-03 eta: 0:18:07 time: 0.3125 data_time: 0.0376 memory: 9707 grad_norm: 0.7821 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0198 loss: 0.0198 2022/08/05 18:30:24 - mmengine - INFO - Epoch(train) [220][160/161] lr: 3.4116e-03 eta: 0:18:00 time: 0.3099 data_time: 0.0377 memory: 9707 grad_norm: 0.7032 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0251 loss: 0.0251 2022/08/05 18:30:24 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:30:24 - mmengine - INFO - Epoch(train) [220][161/161] lr: 3.4095e-03 eta: 0:18:00 time: 0.2995 data_time: 0.0364 memory: 652 grad_norm: 1.0006 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0793 loss: 0.0793 2022/08/05 18:30:24 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/08/05 18:30:35 - mmengine - INFO - Epoch(val) [220][20/67] eta: 0:00:20 time: 0.4300 data_time: 0.2450 memory: 1868 2022/08/05 18:30:41 - mmengine - INFO - Epoch(val) [220][40/67] eta: 0:00:07 time: 0.2868 data_time: 0.1090 memory: 1868 2022/08/05 18:30:46 - mmengine - INFO - Epoch(val) [220][60/67] eta: 0:00:01 time: 0.2298 data_time: 0.0947 memory: 1868 2022/08/05 18:30:47 - mmengine - INFO - Epoch(val) [220][67/67] acc/top1: 0.9486 acc/top5: 0.9974 acc/mean1: 0.9299 2022/08/05 18:30:47 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_gym_limb/best_acc/top1_epoch_211.pth is removed 2022/08/05 18:30:50 - mmengine - INFO - The best checkpoint with 0.9486 acc/top1 at 221 epoch is saved to best_acc/top1_epoch_221.pth. 2022/08/05 18:30:58 - mmengine - INFO - Epoch(train) [221][20/161] lr: 3.3676e-03 eta: 0:17:53 time: 0.4071 data_time: 0.1285 memory: 9707 grad_norm: 0.6829 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0182 loss: 0.0182 2022/08/05 18:31:04 - mmengine - INFO - Epoch(train) [221][40/161] lr: 3.3258e-03 eta: 0:17:46 time: 0.3300 data_time: 0.0391 memory: 9707 grad_norm: 0.6499 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0331 loss: 0.0331 2022/08/05 18:31:11 - mmengine - INFO - Epoch(train) [221][60/161] lr: 3.2844e-03 eta: 0:17:40 time: 0.3328 data_time: 0.0422 memory: 9707 grad_norm: 0.6831 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0175 loss: 0.0175 2022/08/05 18:31:17 - mmengine - INFO - Epoch(train) [221][80/161] lr: 3.2432e-03 eta: 0:17:33 time: 0.3155 data_time: 0.0460 memory: 9707 grad_norm: 0.5601 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0284 loss: 0.0284 2022/08/05 18:31:24 - mmengine - INFO - Epoch(train) [221][100/161] lr: 3.2022e-03 eta: 0:17:26 time: 0.3146 data_time: 0.0375 memory: 9707 grad_norm: 0.9066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0256 loss: 0.0256 2022/08/05 18:31:30 - mmengine - INFO - Epoch(train) [221][120/161] lr: 3.1615e-03 eta: 0:17:19 time: 0.3179 data_time: 0.0433 memory: 9707 grad_norm: 0.5967 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0209 loss: 0.0209 2022/08/05 18:31:36 - mmengine - INFO - Epoch(train) [221][140/161] lr: 3.1211e-03 eta: 0:17:13 time: 0.3184 data_time: 0.0415 memory: 9707 grad_norm: 0.7842 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0330 loss: 0.0330 2022/08/05 18:31:43 - mmengine - INFO - Epoch(train) [221][160/161] lr: 3.0809e-03 eta: 0:17:06 time: 0.3032 data_time: 0.0384 memory: 9707 grad_norm: 0.6627 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0344 loss: 0.0344 2022/08/05 18:31:43 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:31:43 - mmengine - INFO - Epoch(train) [221][161/161] lr: 3.0789e-03 eta: 0:17:06 time: 0.2927 data_time: 0.0372 memory: 652 grad_norm: 0.9618 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.1766 loss: 0.1766 2022/08/05 18:31:52 - mmengine - INFO - Epoch(train) [222][20/161] lr: 3.0390e-03 eta: 0:16:59 time: 0.4752 data_time: 0.1451 memory: 9707 grad_norm: 0.7016 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0265 loss: 0.0265 2022/08/05 18:31:59 - mmengine - INFO - Epoch(train) [222][40/161] lr: 2.9993e-03 eta: 0:16:52 time: 0.3206 data_time: 0.0460 memory: 9707 grad_norm: 0.7828 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0225 loss: 0.0225 2022/08/05 18:32:05 - mmengine - INFO - Epoch(train) [222][60/161] lr: 2.9599e-03 eta: 0:16:46 time: 0.3161 data_time: 0.0443 memory: 9707 grad_norm: 0.7567 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0444 loss: 0.0444 2022/08/05 18:32:11 - mmengine - INFO - Epoch(train) [222][80/161] lr: 2.9208e-03 eta: 0:16:39 time: 0.3226 data_time: 0.0419 memory: 9707 grad_norm: 0.5745 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0193 loss: 0.0193 2022/08/05 18:32:18 - mmengine - INFO - Epoch(train) [222][100/161] lr: 2.8819e-03 eta: 0:16:32 time: 0.3173 data_time: 0.0400 memory: 9707 grad_norm: 0.5755 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0228 loss: 0.0228 2022/08/05 18:32:24 - mmengine - INFO - Epoch(train) [222][120/161] lr: 2.8433e-03 eta: 0:16:25 time: 0.3144 data_time: 0.0416 memory: 9707 grad_norm: 0.7336 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0278 loss: 0.0278 2022/08/05 18:32:30 - mmengine - INFO - Epoch(train) [222][140/161] lr: 2.8049e-03 eta: 0:16:19 time: 0.3238 data_time: 0.0384 memory: 9707 grad_norm: 0.5479 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0246 loss: 0.0246 2022/08/05 18:32:36 - mmengine - INFO - Epoch(train) [222][160/161] lr: 2.7668e-03 eta: 0:16:12 time: 0.2927 data_time: 0.0372 memory: 9707 grad_norm: 0.6304 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0265 loss: 0.0265 2022/08/05 18:32:36 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:32:36 - mmengine - INFO - Epoch(train) [222][161/161] lr: 2.7649e-03 eta: 0:16:12 time: 0.2801 data_time: 0.0357 memory: 652 grad_norm: 0.9368 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1378 loss: 0.1378 2022/08/05 18:32:46 - mmengine - INFO - Epoch(train) [223][20/161] lr: 2.7271e-03 eta: 0:16:05 time: 0.4687 data_time: 0.1472 memory: 9707 grad_norm: 0.7751 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0461 loss: 0.0461 2022/08/05 18:32:52 - mmengine - INFO - Epoch(train) [223][40/161] lr: 2.6895e-03 eta: 0:15:58 time: 0.3198 data_time: 0.0391 memory: 9707 grad_norm: 0.7071 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0191 loss: 0.0191 2022/08/05 18:32:59 - mmengine - INFO - Epoch(train) [223][60/161] lr: 2.6521e-03 eta: 0:15:51 time: 0.3259 data_time: 0.0429 memory: 9707 grad_norm: 0.7497 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0225 loss: 0.0225 2022/08/05 18:33:05 - mmengine - INFO - Epoch(train) [223][80/161] lr: 2.6151e-03 eta: 0:15:45 time: 0.3247 data_time: 0.0434 memory: 9707 grad_norm: 0.6023 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0219 loss: 0.0219 2022/08/05 18:33:12 - mmengine - INFO - Epoch(train) [223][100/161] lr: 2.5783e-03 eta: 0:15:38 time: 0.3275 data_time: 0.0428 memory: 9707 grad_norm: 0.6931 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0429 loss: 0.0429 2022/08/05 18:33:18 - mmengine - INFO - Epoch(train) [223][120/161] lr: 2.5417e-03 eta: 0:15:31 time: 0.3163 data_time: 0.0421 memory: 9707 grad_norm: 0.5696 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0199 loss: 0.0199 2022/08/05 18:33:25 - mmengine - INFO - Epoch(train) [223][140/161] lr: 2.5054e-03 eta: 0:15:25 time: 0.3245 data_time: 0.0434 memory: 9707 grad_norm: 0.5098 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0220 loss: 0.0220 2022/08/05 18:33:31 - mmengine - INFO - Epoch(train) [223][160/161] lr: 2.4694e-03 eta: 0:15:18 time: 0.2952 data_time: 0.0417 memory: 9707 grad_norm: 0.6815 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0232 loss: 0.0232 2022/08/05 18:33:31 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:33:31 - mmengine - INFO - Epoch(train) [223][161/161] lr: 2.4676e-03 eta: 0:15:18 time: 0.2833 data_time: 0.0396 memory: 652 grad_norm: 0.9409 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.1529 loss: 0.1529 2022/08/05 18:33:40 - mmengine - INFO - Epoch(train) [224][20/161] lr: 2.4318e-03 eta: 0:15:11 time: 0.4668 data_time: 0.1331 memory: 9707 grad_norm: 0.5847 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0310 loss: 0.0310 2022/08/05 18:33:47 - mmengine - INFO - Epoch(train) [224][40/161] lr: 2.3963e-03 eta: 0:15:04 time: 0.3268 data_time: 0.0411 memory: 9707 grad_norm: 0.6789 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0217 loss: 0.0217 2022/08/05 18:33:53 - mmengine - INFO - Epoch(train) [224][60/161] lr: 2.3610e-03 eta: 0:14:57 time: 0.3194 data_time: 0.0414 memory: 9707 grad_norm: 0.6406 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0245 loss: 0.0245 2022/08/05 18:33:59 - mmengine - INFO - Epoch(train) [224][80/161] lr: 2.3260e-03 eta: 0:14:51 time: 0.3146 data_time: 0.0423 memory: 9707 grad_norm: 0.7381 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0398 loss: 0.0398 2022/08/05 18:34:05 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:34:06 - mmengine - INFO - Epoch(train) [224][100/161] lr: 2.2913e-03 eta: 0:14:44 time: 0.3230 data_time: 0.0420 memory: 9707 grad_norm: 0.6393 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0189 loss: 0.0189 2022/08/05 18:34:12 - mmengine - INFO - Epoch(train) [224][120/161] lr: 2.2568e-03 eta: 0:14:37 time: 0.3165 data_time: 0.0415 memory: 9707 grad_norm: 0.6832 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0375 loss: 0.0375 2022/08/05 18:34:18 - mmengine - INFO - Epoch(train) [224][140/161] lr: 2.2226e-03 eta: 0:14:31 time: 0.3130 data_time: 0.0419 memory: 9707 grad_norm: 0.6695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0162 loss: 0.0162 2022/08/05 18:34:24 - mmengine - INFO - Epoch(train) [224][160/161] lr: 2.1886e-03 eta: 0:14:24 time: 0.3016 data_time: 0.0381 memory: 9707 grad_norm: 0.7532 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0182 loss: 0.0182 2022/08/05 18:34:24 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:34:24 - mmengine - INFO - Epoch(train) [224][161/161] lr: 2.1869e-03 eta: 0:14:24 time: 0.2903 data_time: 0.0374 memory: 652 grad_norm: 1.0159 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.1850 loss: 0.1850 2022/08/05 18:34:34 - mmengine - INFO - Epoch(train) [225][20/161] lr: 2.1532e-03 eta: 0:14:17 time: 0.4614 data_time: 0.1487 memory: 9707 grad_norm: 0.6706 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0201 loss: 0.0201 2022/08/05 18:34:40 - mmengine - INFO - Epoch(train) [225][40/161] lr: 2.1198e-03 eta: 0:14:10 time: 0.3151 data_time: 0.0395 memory: 9707 grad_norm: 0.7717 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0280 loss: 0.0280 2022/08/05 18:34:46 - mmengine - INFO - Epoch(train) [225][60/161] lr: 2.0866e-03 eta: 0:14:03 time: 0.3242 data_time: 0.0426 memory: 9707 grad_norm: 0.6435 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0173 loss: 0.0173 2022/08/05 18:34:53 - mmengine - INFO - Epoch(train) [225][80/161] lr: 2.0537e-03 eta: 0:13:57 time: 0.3183 data_time: 0.0418 memory: 9707 grad_norm: 0.7454 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0321 loss: 0.0321 2022/08/05 18:34:59 - mmengine - INFO - Epoch(train) [225][100/161] lr: 2.0211e-03 eta: 0:13:50 time: 0.3157 data_time: 0.0404 memory: 9707 grad_norm: 0.8407 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0357 loss: 0.0357 2022/08/05 18:35:06 - mmengine - INFO - Epoch(train) [225][120/161] lr: 1.9887e-03 eta: 0:13:43 time: 0.3487 data_time: 0.0434 memory: 9707 grad_norm: 0.7418 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0194 loss: 0.0194 2022/08/05 18:35:12 - mmengine - INFO - Epoch(train) [225][140/161] lr: 1.9565e-03 eta: 0:13:37 time: 0.3166 data_time: 0.0423 memory: 9707 grad_norm: 0.6330 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0255 loss: 0.0255 2022/08/05 18:35:18 - mmengine - INFO - Epoch(train) [225][160/161] lr: 1.9246e-03 eta: 0:13:30 time: 0.2931 data_time: 0.0375 memory: 9707 grad_norm: 0.4844 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0208 loss: 0.0208 2022/08/05 18:35:19 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:35:19 - mmengine - INFO - Epoch(train) [225][161/161] lr: 1.9231e-03 eta: 0:13:30 time: 0.2839 data_time: 0.0361 memory: 652 grad_norm: 0.8210 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1256 loss: 0.1256 2022/08/05 18:35:28 - mmengine - INFO - Epoch(train) [226][20/161] lr: 1.8915e-03 eta: 0:13:23 time: 0.4652 data_time: 0.1432 memory: 9707 grad_norm: 0.6895 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0289 loss: 0.0289 2022/08/05 18:35:34 - mmengine - INFO - Epoch(train) [226][40/161] lr: 1.8601e-03 eta: 0:13:16 time: 0.3169 data_time: 0.0424 memory: 9707 grad_norm: 0.7204 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0278 loss: 0.0278 2022/08/05 18:35:40 - mmengine - INFO - Epoch(train) [226][60/161] lr: 1.8290e-03 eta: 0:13:09 time: 0.3147 data_time: 0.0422 memory: 9707 grad_norm: 0.5543 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0253 loss: 0.0253 2022/08/05 18:35:47 - mmengine - INFO - Epoch(train) [226][80/161] lr: 1.7982e-03 eta: 0:13:03 time: 0.3185 data_time: 0.0432 memory: 9707 grad_norm: 0.6546 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0242 loss: 0.0242 2022/08/05 18:35:53 - mmengine - INFO - Epoch(train) [226][100/161] lr: 1.7676e-03 eta: 0:12:56 time: 0.3195 data_time: 0.0410 memory: 9707 grad_norm: 0.6397 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0197 loss: 0.0197 2022/08/05 18:36:00 - mmengine - INFO - Epoch(train) [226][120/161] lr: 1.7373e-03 eta: 0:12:49 time: 0.3156 data_time: 0.0423 memory: 9707 grad_norm: 0.7297 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0424 loss: 0.0424 2022/08/05 18:36:06 - mmengine - INFO - Epoch(train) [226][140/161] lr: 1.7073e-03 eta: 0:12:43 time: 0.3230 data_time: 0.0441 memory: 9707 grad_norm: 0.7907 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0164 loss: 0.0164 2022/08/05 18:36:12 - mmengine - INFO - Epoch(train) [226][160/161] lr: 1.6775e-03 eta: 0:12:36 time: 0.2964 data_time: 0.0391 memory: 9707 grad_norm: 0.7016 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0348 loss: 0.0348 2022/08/05 18:36:12 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:36:12 - mmengine - INFO - Epoch(train) [226][161/161] lr: 1.6760e-03 eta: 0:12:36 time: 0.2838 data_time: 0.0368 memory: 652 grad_norm: 0.9361 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.1960 loss: 0.1960 2022/08/05 18:36:22 - mmengine - INFO - Epoch(train) [227][20/161] lr: 1.6465e-03 eta: 0:12:29 time: 0.4849 data_time: 0.1341 memory: 9707 grad_norm: 0.7970 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0155 loss: 0.0155 2022/08/05 18:36:28 - mmengine - INFO - Epoch(train) [227][40/161] lr: 1.6172e-03 eta: 0:12:22 time: 0.3154 data_time: 0.0404 memory: 9707 grad_norm: 0.6135 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0438 loss: 0.0438 2022/08/05 18:36:35 - mmengine - INFO - Epoch(train) [227][60/161] lr: 1.5882e-03 eta: 0:12:15 time: 0.3227 data_time: 0.0410 memory: 9707 grad_norm: 0.6419 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0226 loss: 0.0226 2022/08/05 18:36:41 - mmengine - INFO - Epoch(train) [227][80/161] lr: 1.5595e-03 eta: 0:12:09 time: 0.3202 data_time: 0.0402 memory: 9707 grad_norm: 0.5566 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0212 loss: 0.0212 2022/08/05 18:36:47 - mmengine - INFO - Epoch(train) [227][100/161] lr: 1.5310e-03 eta: 0:12:02 time: 0.3152 data_time: 0.0437 memory: 9707 grad_norm: 0.6357 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0174 loss: 0.0174 2022/08/05 18:36:54 - mmengine - INFO - Epoch(train) [227][120/161] lr: 1.5028e-03 eta: 0:11:55 time: 0.3218 data_time: 0.0449 memory: 9707 grad_norm: 0.6263 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0211 loss: 0.0211 2022/08/05 18:37:00 - mmengine - INFO - Epoch(train) [227][140/161] lr: 1.4748e-03 eta: 0:11:49 time: 0.3210 data_time: 0.0434 memory: 9707 grad_norm: 0.6495 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0321 loss: 0.0321 2022/08/05 18:37:06 - mmengine - INFO - Epoch(train) [227][160/161] lr: 1.4471e-03 eta: 0:11:42 time: 0.3027 data_time: 0.0379 memory: 9707 grad_norm: 0.5941 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0568 loss: 0.0568 2022/08/05 18:37:06 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:37:06 - mmengine - INFO - Epoch(train) [227][161/161] lr: 1.4458e-03 eta: 0:11:42 time: 0.2908 data_time: 0.0368 memory: 652 grad_norm: 0.9184 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.1544 loss: 0.1544 2022/08/05 18:37:16 - mmengine - INFO - Epoch(train) [228][20/161] lr: 1.4184e-03 eta: 0:11:35 time: 0.4748 data_time: 0.1296 memory: 9707 grad_norm: 0.6819 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0203 loss: 0.0203 2022/08/05 18:37:23 - mmengine - INFO - Epoch(train) [228][40/161] lr: 1.3912e-03 eta: 0:11:28 time: 0.3360 data_time: 0.0399 memory: 9707 grad_norm: 0.6505 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0367 loss: 0.0367 2022/08/05 18:37:29 - mmengine - INFO - Epoch(train) [228][60/161] lr: 1.3643e-03 eta: 0:11:21 time: 0.3151 data_time: 0.0428 memory: 9707 grad_norm: 0.5887 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0306 loss: 0.0306 2022/08/05 18:37:35 - mmengine - INFO - Epoch(train) [228][80/161] lr: 1.3377e-03 eta: 0:11:15 time: 0.3198 data_time: 0.0419 memory: 9707 grad_norm: 0.5596 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0266 loss: 0.0266 2022/08/05 18:37:42 - mmengine - INFO - Epoch(train) [228][100/161] lr: 1.3113e-03 eta: 0:11:08 time: 0.3287 data_time: 0.0431 memory: 9707 grad_norm: 0.6398 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0274 loss: 0.0274 2022/08/05 18:37:48 - mmengine - INFO - Epoch(train) [228][120/161] lr: 1.2852e-03 eta: 0:11:01 time: 0.3187 data_time: 0.0424 memory: 9707 grad_norm: 0.8051 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0253 loss: 0.0253 2022/08/05 18:37:55 - mmengine - INFO - Epoch(train) [228][140/161] lr: 1.2593e-03 eta: 0:10:55 time: 0.3199 data_time: 0.0415 memory: 9707 grad_norm: 0.5922 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0190 loss: 0.0190 2022/08/05 18:38:00 - mmengine - INFO - Epoch(train) [228][160/161] lr: 1.2337e-03 eta: 0:10:48 time: 0.2945 data_time: 0.0384 memory: 9707 grad_norm: 0.6789 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0258 loss: 0.0258 2022/08/05 18:38:01 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:38:01 - mmengine - INFO - Epoch(train) [228][161/161] lr: 1.2324e-03 eta: 0:10:48 time: 0.2824 data_time: 0.0358 memory: 652 grad_norm: 0.9696 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0706 loss: 0.0706 2022/08/05 18:38:10 - mmengine - INFO - Epoch(train) [229][20/161] lr: 1.2071e-03 eta: 0:10:41 time: 0.4650 data_time: 0.1543 memory: 9707 grad_norm: 0.4836 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0247 loss: 0.0247 2022/08/05 18:38:16 - mmengine - INFO - Epoch(train) [229][40/161] lr: 1.1821e-03 eta: 0:10:34 time: 0.3157 data_time: 0.0421 memory: 9707 grad_norm: 0.6613 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0409 loss: 0.0409 2022/08/05 18:38:23 - mmengine - INFO - Epoch(train) [229][60/161] lr: 1.1573e-03 eta: 0:10:27 time: 0.3230 data_time: 0.0425 memory: 9707 grad_norm: 0.5738 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0256 loss: 0.0256 2022/08/05 18:38:29 - mmengine - INFO - Epoch(train) [229][80/161] lr: 1.1327e-03 eta: 0:10:21 time: 0.3157 data_time: 0.0436 memory: 9707 grad_norm: 0.6173 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0222 loss: 0.0222 2022/08/05 18:38:35 - mmengine - INFO - Epoch(train) [229][100/161] lr: 1.1085e-03 eta: 0:10:14 time: 0.3156 data_time: 0.0409 memory: 9707 grad_norm: 0.5871 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0255 loss: 0.0255 2022/08/05 18:38:42 - mmengine - INFO - Epoch(train) [229][120/161] lr: 1.0844e-03 eta: 0:10:07 time: 0.3218 data_time: 0.0439 memory: 9707 grad_norm: 0.4303 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0212 loss: 0.0212 2022/08/05 18:38:48 - mmengine - INFO - Epoch(train) [229][140/161] lr: 1.0607e-03 eta: 0:10:00 time: 0.3189 data_time: 0.0444 memory: 9707 grad_norm: 0.7059 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0211 loss: 0.0211 2022/08/05 18:38:54 - mmengine - INFO - Epoch(train) [229][160/161] lr: 1.0372e-03 eta: 0:09:54 time: 0.2984 data_time: 0.0413 memory: 9707 grad_norm: 0.5078 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0277 loss: 0.0277 2022/08/05 18:38:54 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:38:54 - mmengine - INFO - Epoch(train) [229][161/161] lr: 1.0360e-03 eta: 0:09:54 time: 0.2874 data_time: 0.0405 memory: 652 grad_norm: 0.7607 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.1524 loss: 0.1524 2022/08/05 18:39:04 - mmengine - INFO - Epoch(train) [230][20/161] lr: 1.0128e-03 eta: 0:09:47 time: 0.4695 data_time: 0.1388 memory: 9707 grad_norm: 0.6695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0191 loss: 0.0191 2022/08/05 18:39:10 - mmengine - INFO - Epoch(train) [230][40/161] lr: 9.8986e-04 eta: 0:09:40 time: 0.3196 data_time: 0.0465 memory: 9707 grad_norm: 0.5100 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0218 loss: 0.0218 2022/08/05 18:39:16 - mmengine - INFO - Epoch(train) [230][60/161] lr: 9.6717e-04 eta: 0:09:33 time: 0.3209 data_time: 0.0458 memory: 9707 grad_norm: 0.5902 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0189 loss: 0.0189 2022/08/05 18:39:23 - mmengine - INFO - Epoch(train) [230][80/161] lr: 9.4474e-04 eta: 0:09:27 time: 0.3206 data_time: 0.0425 memory: 9707 grad_norm: 0.5038 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0170 loss: 0.0170 2022/08/05 18:39:29 - mmengine - INFO - Epoch(train) [230][100/161] lr: 9.2257e-04 eta: 0:09:20 time: 0.3199 data_time: 0.0402 memory: 9707 grad_norm: 0.7441 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0305 loss: 0.0305 2022/08/05 18:39:36 - mmengine - INFO - Epoch(train) [230][120/161] lr: 9.0066e-04 eta: 0:09:13 time: 0.3260 data_time: 0.0478 memory: 9707 grad_norm: 0.6212 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0262 loss: 0.0262 2022/08/05 18:39:39 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:39:42 - mmengine - INFO - Epoch(train) [230][140/161] lr: 8.7902e-04 eta: 0:09:06 time: 0.3227 data_time: 0.0424 memory: 9707 grad_norm: 0.5800 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0175 loss: 0.0175 2022/08/05 18:39:48 - mmengine - INFO - Epoch(train) [230][160/161] lr: 8.5764e-04 eta: 0:09:00 time: 0.2957 data_time: 0.0386 memory: 9707 grad_norm: 0.5253 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0206 loss: 0.0206 2022/08/05 18:39:48 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:39:48 - mmengine - INFO - Epoch(train) [230][161/161] lr: 8.5658e-04 eta: 0:09:00 time: 0.2837 data_time: 0.0360 memory: 652 grad_norm: 0.8277 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1086 loss: 0.1086 2022/08/05 18:39:48 - mmengine - INFO - Saving checkpoint at 230 epochs 2022/08/05 18:40:00 - mmengine - INFO - Epoch(val) [230][20/67] eta: 0:00:20 time: 0.4265 data_time: 0.2450 memory: 1868 2022/08/05 18:40:05 - mmengine - INFO - Epoch(val) [230][40/67] eta: 0:00:07 time: 0.2848 data_time: 0.1099 memory: 1868 2022/08/05 18:40:09 - mmengine - INFO - Epoch(val) [230][60/67] eta: 0:00:01 time: 0.2060 data_time: 0.0688 memory: 1868 2022/08/05 18:40:11 - mmengine - INFO - Epoch(val) [230][67/67] acc/top1: 0.9474 acc/top5: 0.9971 acc/mean1: 0.9262 2022/08/05 18:40:20 - mmengine - INFO - Epoch(train) [231][20/161] lr: 8.3547e-04 eta: 0:08:53 time: 0.4707 data_time: 0.1743 memory: 9707 grad_norm: 0.5253 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0187 loss: 0.0187 2022/08/05 18:40:27 - mmengine - INFO - Epoch(train) [231][40/161] lr: 8.1462e-04 eta: 0:08:46 time: 0.3175 data_time: 0.0420 memory: 9707 grad_norm: 0.6326 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0229 loss: 0.0229 2022/08/05 18:40:33 - mmengine - INFO - Epoch(train) [231][60/161] lr: 7.9404e-04 eta: 0:08:39 time: 0.3229 data_time: 0.0480 memory: 9707 grad_norm: 0.7091 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0240 loss: 0.0240 2022/08/05 18:40:39 - mmengine - INFO - Epoch(train) [231][80/161] lr: 7.7372e-04 eta: 0:08:33 time: 0.3167 data_time: 0.0431 memory: 9707 grad_norm: 0.5246 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0192 loss: 0.0192 2022/08/05 18:40:46 - mmengine - INFO - Epoch(train) [231][100/161] lr: 7.5366e-04 eta: 0:08:26 time: 0.3232 data_time: 0.0457 memory: 9707 grad_norm: 0.6017 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0271 loss: 0.0271 2022/08/05 18:40:53 - mmengine - INFO - Epoch(train) [231][120/161] lr: 7.3387e-04 eta: 0:08:19 time: 0.3293 data_time: 0.0413 memory: 9707 grad_norm: 0.6299 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0317 loss: 0.0317 2022/08/05 18:40:59 - mmengine - INFO - Epoch(train) [231][140/161] lr: 7.1434e-04 eta: 0:08:12 time: 0.3167 data_time: 0.0430 memory: 9707 grad_norm: 0.7235 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0180 loss: 0.0180 2022/08/05 18:41:05 - mmengine - INFO - Epoch(train) [231][160/161] lr: 6.9507e-04 eta: 0:08:06 time: 0.2938 data_time: 0.0360 memory: 9707 grad_norm: 0.5996 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0212 loss: 0.0212 2022/08/05 18:41:05 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:41:05 - mmengine - INFO - Epoch(train) [231][161/161] lr: 6.9411e-04 eta: 0:08:06 time: 0.2842 data_time: 0.0382 memory: 652 grad_norm: 0.8770 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1339 loss: 0.1339 2022/08/05 18:41:14 - mmengine - INFO - Epoch(train) [232][20/161] lr: 6.7512e-04 eta: 0:07:59 time: 0.4660 data_time: 0.1677 memory: 9707 grad_norm: 0.5488 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0228 loss: 0.0228 2022/08/05 18:41:21 - mmengine - INFO - Epoch(train) [232][40/161] lr: 6.5638e-04 eta: 0:07:52 time: 0.3157 data_time: 0.0394 memory: 9707 grad_norm: 0.5992 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0191 loss: 0.0191 2022/08/05 18:41:27 - mmengine - INFO - Epoch(train) [232][60/161] lr: 6.3792e-04 eta: 0:07:45 time: 0.3233 data_time: 0.0449 memory: 9707 grad_norm: 0.7141 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0159 loss: 0.0159 2022/08/05 18:41:33 - mmengine - INFO - Epoch(train) [232][80/161] lr: 6.1971e-04 eta: 0:07:39 time: 0.3218 data_time: 0.0390 memory: 9707 grad_norm: 0.7079 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0229 loss: 0.0229 2022/08/05 18:41:40 - mmengine - INFO - Epoch(train) [232][100/161] lr: 6.0177e-04 eta: 0:07:32 time: 0.3195 data_time: 0.0422 memory: 9707 grad_norm: 0.5978 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0330 loss: 0.0330 2022/08/05 18:41:46 - mmengine - INFO - Epoch(train) [232][120/161] lr: 5.8408e-04 eta: 0:07:25 time: 0.3233 data_time: 0.0435 memory: 9707 grad_norm: 0.8508 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0262 loss: 0.0262 2022/08/05 18:41:53 - mmengine - INFO - Epoch(train) [232][140/161] lr: 5.6667e-04 eta: 0:07:18 time: 0.3191 data_time: 0.0462 memory: 9707 grad_norm: 0.5210 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0269 loss: 0.0269 2022/08/05 18:41:59 - mmengine - INFO - Epoch(train) [232][160/161] lr: 5.4951e-04 eta: 0:07:12 time: 0.2919 data_time: 0.0354 memory: 9707 grad_norm: 0.5769 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0363 loss: 0.0363 2022/08/05 18:41:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:41:59 - mmengine - INFO - Epoch(train) [232][161/161] lr: 5.4866e-04 eta: 0:07:12 time: 0.2817 data_time: 0.0358 memory: 652 grad_norm: 0.8497 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.2141 loss: 0.2141 2022/08/05 18:42:08 - mmengine - INFO - Epoch(train) [233][20/161] lr: 5.3178e-04 eta: 0:07:05 time: 0.4639 data_time: 0.1383 memory: 9707 grad_norm: 0.5035 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0197 loss: 0.0197 2022/08/05 18:42:14 - mmengine - INFO - Epoch(train) [233][40/161] lr: 5.1517e-04 eta: 0:06:58 time: 0.3155 data_time: 0.0408 memory: 9707 grad_norm: 0.6213 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0325 loss: 0.0325 2022/08/05 18:42:21 - mmengine - INFO - Epoch(train) [233][60/161] lr: 4.9881e-04 eta: 0:06:51 time: 0.3165 data_time: 0.0392 memory: 9707 grad_norm: 0.6336 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0261 loss: 0.0261 2022/08/05 18:42:27 - mmengine - INFO - Epoch(train) [233][80/161] lr: 4.8272e-04 eta: 0:06:45 time: 0.3192 data_time: 0.0419 memory: 9707 grad_norm: 0.6422 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0155 loss: 0.0155 2022/08/05 18:42:33 - mmengine - INFO - Epoch(train) [233][100/161] lr: 4.6690e-04 eta: 0:06:38 time: 0.3141 data_time: 0.0409 memory: 9707 grad_norm: 0.5118 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0149 loss: 0.0149 2022/08/05 18:42:40 - mmengine - INFO - Epoch(train) [233][120/161] lr: 4.5133e-04 eta: 0:06:31 time: 0.3154 data_time: 0.0423 memory: 9707 grad_norm: 0.5398 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0168 loss: 0.0168 2022/08/05 18:42:46 - mmengine - INFO - Epoch(train) [233][140/161] lr: 4.3603e-04 eta: 0:06:24 time: 0.3327 data_time: 0.0423 memory: 9707 grad_norm: 0.5908 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0245 loss: 0.0245 2022/08/05 18:42:52 - mmengine - INFO - Epoch(train) [233][160/161] lr: 4.2100e-04 eta: 0:06:18 time: 0.3040 data_time: 0.0410 memory: 9707 grad_norm: 0.5401 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0129 loss: 0.0129 2022/08/05 18:42:52 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:42:52 - mmengine - INFO - Epoch(train) [233][161/161] lr: 4.2025e-04 eta: 0:06:18 time: 0.2939 data_time: 0.0434 memory: 652 grad_norm: 0.8445 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.1610 loss: 0.1610 2022/08/05 18:43:02 - mmengine - INFO - Epoch(train) [234][20/161] lr: 4.0549e-04 eta: 0:06:11 time: 0.4685 data_time: 0.1496 memory: 9707 grad_norm: 0.6352 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0351 loss: 0.0351 2022/08/05 18:43:08 - mmengine - INFO - Epoch(train) [234][40/161] lr: 3.9099e-04 eta: 0:06:04 time: 0.3204 data_time: 0.0368 memory: 9707 grad_norm: 0.7767 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0270 loss: 0.0270 2022/08/05 18:43:15 - mmengine - INFO - Epoch(train) [234][60/161] lr: 3.7676e-04 eta: 0:05:57 time: 0.3275 data_time: 0.0518 memory: 9707 grad_norm: 0.5326 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0203 loss: 0.0203 2022/08/05 18:43:21 - mmengine - INFO - Epoch(train) [234][80/161] lr: 3.6279e-04 eta: 0:05:51 time: 0.3161 data_time: 0.0412 memory: 9707 grad_norm: 0.6432 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0234 loss: 0.0234 2022/08/05 18:43:28 - mmengine - INFO - Epoch(train) [234][100/161] lr: 3.4908e-04 eta: 0:05:44 time: 0.3197 data_time: 0.0460 memory: 9707 grad_norm: 0.6105 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0279 loss: 0.0279 2022/08/05 18:43:34 - mmengine - INFO - Epoch(train) [234][120/161] lr: 3.3564e-04 eta: 0:05:37 time: 0.3195 data_time: 0.0459 memory: 9707 grad_norm: 0.6403 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0123 loss: 0.0123 2022/08/05 18:43:40 - mmengine - INFO - Epoch(train) [234][140/161] lr: 3.2246e-04 eta: 0:05:30 time: 0.3191 data_time: 0.0459 memory: 9707 grad_norm: 0.6429 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0303 loss: 0.0303 2022/08/05 18:43:46 - mmengine - INFO - Epoch(train) [234][160/161] lr: 3.0954e-04 eta: 0:05:24 time: 0.2974 data_time: 0.0373 memory: 9707 grad_norm: 0.6639 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0238 loss: 0.0238 2022/08/05 18:43:46 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:43:46 - mmengine - INFO - Epoch(train) [234][161/161] lr: 3.0890e-04 eta: 0:05:24 time: 0.2865 data_time: 0.0380 memory: 652 grad_norm: 0.9447 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2185 loss: 0.2185 2022/08/05 18:43:56 - mmengine - INFO - Epoch(train) [235][20/161] lr: 2.9627e-04 eta: 0:05:17 time: 0.4680 data_time: 0.1320 memory: 9707 grad_norm: 0.6487 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0180 loss: 0.0180 2022/08/05 18:44:02 - mmengine - INFO - Epoch(train) [235][40/161] lr: 2.8389e-04 eta: 0:05:10 time: 0.3221 data_time: 0.0394 memory: 9707 grad_norm: 0.6203 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0204 loss: 0.0204 2022/08/05 18:44:09 - mmengine - INFO - Epoch(train) [235][60/161] lr: 2.7178e-04 eta: 0:05:03 time: 0.3208 data_time: 0.0407 memory: 9707 grad_norm: 0.5768 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0238 loss: 0.0238 2022/08/05 18:44:15 - mmengine - INFO - Epoch(train) [235][80/161] lr: 2.5993e-04 eta: 0:04:57 time: 0.3223 data_time: 0.0433 memory: 9707 grad_norm: 0.4734 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0156 loss: 0.0156 2022/08/05 18:44:21 - mmengine - INFO - Epoch(train) [235][100/161] lr: 2.4834e-04 eta: 0:04:50 time: 0.3188 data_time: 0.0431 memory: 9707 grad_norm: 0.5265 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0197 loss: 0.0197 2022/08/05 18:44:28 - mmengine - INFO - Epoch(train) [235][120/161] lr: 2.3702e-04 eta: 0:04:43 time: 0.3177 data_time: 0.0418 memory: 9707 grad_norm: 0.8914 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0316 loss: 0.0316 2022/08/05 18:44:34 - mmengine - INFO - Epoch(train) [235][140/161] lr: 2.2597e-04 eta: 0:04:36 time: 0.3294 data_time: 0.0444 memory: 9707 grad_norm: 0.6920 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0264 loss: 0.0264 2022/08/05 18:44:40 - mmengine - INFO - Epoch(train) [235][160/161] lr: 2.1517e-04 eta: 0:04:30 time: 0.2923 data_time: 0.0347 memory: 9707 grad_norm: 0.6147 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0231 loss: 0.0231 2022/08/05 18:44:40 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:44:40 - mmengine - INFO - Epoch(train) [235][161/161] lr: 2.1464e-04 eta: 0:04:30 time: 0.2817 data_time: 0.0363 memory: 652 grad_norm: 0.9150 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2426 loss: 0.2426 2022/08/05 18:44:50 - mmengine - INFO - Epoch(train) [236][20/161] lr: 2.0412e-04 eta: 0:04:23 time: 0.4773 data_time: 0.1318 memory: 9707 grad_norm: 0.5997 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0271 loss: 0.0271 2022/08/05 18:44:57 - mmengine - INFO - Epoch(train) [236][40/161] lr: 1.9387e-04 eta: 0:04:16 time: 0.3297 data_time: 0.0405 memory: 9707 grad_norm: 0.4327 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0209 loss: 0.0209 2022/08/05 18:45:03 - mmengine - INFO - Epoch(train) [236][60/161] lr: 1.8388e-04 eta: 0:04:09 time: 0.3185 data_time: 0.0428 memory: 9707 grad_norm: 0.6858 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0216 loss: 0.0216 2022/08/05 18:45:09 - mmengine - INFO - Epoch(train) [236][80/161] lr: 1.7416e-04 eta: 0:04:03 time: 0.3182 data_time: 0.0381 memory: 9707 grad_norm: 0.6205 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0186 loss: 0.0186 2022/08/05 18:45:16 - mmengine - INFO - Epoch(train) [236][100/161] lr: 1.6470e-04 eta: 0:03:56 time: 0.3200 data_time: 0.0409 memory: 9707 grad_norm: 0.5321 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0153 loss: 0.0153 2022/08/05 18:45:22 - mmengine - INFO - Epoch(train) [236][120/161] lr: 1.5550e-04 eta: 0:03:49 time: 0.3170 data_time: 0.0432 memory: 9707 grad_norm: 0.5464 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0140 loss: 0.0140 2022/08/05 18:45:28 - mmengine - INFO - Epoch(train) [236][140/161] lr: 1.4657e-04 eta: 0:03:42 time: 0.3153 data_time: 0.0429 memory: 9707 grad_norm: 0.5937 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0180 loss: 0.0180 2022/08/05 18:45:34 - mmengine - INFO - Epoch(train) [236][160/161] lr: 1.3790e-04 eta: 0:03:36 time: 0.2974 data_time: 0.0387 memory: 9707 grad_norm: 0.4242 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0159 loss: 0.0159 2022/08/05 18:45:34 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:45:34 - mmengine - INFO - Epoch(train) [236][161/161] lr: 1.3747e-04 eta: 0:03:36 time: 0.2891 data_time: 0.0410 memory: 652 grad_norm: 0.7362 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.1823 loss: 0.1823 2022/08/05 18:45:38 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:45:44 - mmengine - INFO - Epoch(train) [237][20/161] lr: 1.2908e-04 eta: 0:03:29 time: 0.4619 data_time: 0.1405 memory: 9707 grad_norm: 0.6192 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0230 loss: 0.0230 2022/08/05 18:45:50 - mmengine - INFO - Epoch(train) [237][40/161] lr: 1.2095e-04 eta: 0:03:22 time: 0.3128 data_time: 0.0411 memory: 9707 grad_norm: 0.6492 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0343 loss: 0.0343 2022/08/05 18:45:56 - mmengine - INFO - Epoch(train) [237][60/161] lr: 1.1309e-04 eta: 0:03:15 time: 0.3192 data_time: 0.0394 memory: 9707 grad_norm: 0.6169 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0207 loss: 0.0207 2022/08/05 18:46:03 - mmengine - INFO - Epoch(train) [237][80/161] lr: 1.0549e-04 eta: 0:03:09 time: 0.3215 data_time: 0.0407 memory: 9707 grad_norm: 0.6839 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0258 loss: 0.0258 2022/08/05 18:46:09 - mmengine - INFO - Epoch(train) [237][100/161] lr: 9.8156e-05 eta: 0:03:02 time: 0.3175 data_time: 0.0458 memory: 9707 grad_norm: 0.5761 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0314 loss: 0.0314 2022/08/05 18:46:15 - mmengine - INFO - Epoch(train) [237][120/161] lr: 9.1085e-05 eta: 0:02:55 time: 0.3142 data_time: 0.0397 memory: 9707 grad_norm: 0.5347 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0136 loss: 0.0136 2022/08/05 18:46:22 - mmengine - INFO - Epoch(train) [237][140/161] lr: 8.4279e-05 eta: 0:02:49 time: 0.3217 data_time: 0.0444 memory: 9707 grad_norm: 0.5605 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0178 loss: 0.0178 2022/08/05 18:46:28 - mmengine - INFO - Epoch(train) [237][160/161] lr: 7.7736e-05 eta: 0:02:42 time: 0.2909 data_time: 0.0368 memory: 9707 grad_norm: 0.4829 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0261 loss: 0.0261 2022/08/05 18:46:28 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:46:28 - mmengine - INFO - Epoch(train) [237][161/161] lr: 7.7416e-05 eta: 0:02:42 time: 0.2798 data_time: 0.0382 memory: 652 grad_norm: 0.7841 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 0.1357 loss: 0.1357 2022/08/05 18:46:37 - mmengine - INFO - Epoch(train) [238][20/161] lr: 7.1151e-05 eta: 0:02:35 time: 0.4608 data_time: 0.1398 memory: 9707 grad_norm: 0.7137 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0215 loss: 0.0215 2022/08/05 18:46:43 - mmengine - INFO - Epoch(train) [238][40/161] lr: 6.5150e-05 eta: 0:02:28 time: 0.3200 data_time: 0.0432 memory: 9707 grad_norm: 0.5140 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0203 loss: 0.0203 2022/08/05 18:46:50 - mmengine - INFO - Epoch(train) [238][60/161] lr: 5.9413e-05 eta: 0:02:21 time: 0.3126 data_time: 0.0404 memory: 9707 grad_norm: 0.5004 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0290 loss: 0.0290 2022/08/05 18:46:56 - mmengine - INFO - Epoch(train) [238][80/161] lr: 5.3941e-05 eta: 0:02:15 time: 0.3130 data_time: 0.0397 memory: 9707 grad_norm: 0.5195 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0142 loss: 0.0142 2022/08/05 18:47:03 - mmengine - INFO - Epoch(train) [238][100/161] lr: 4.8733e-05 eta: 0:02:08 time: 0.3323 data_time: 0.0422 memory: 9707 grad_norm: 0.5309 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0207 loss: 0.0207 2022/08/05 18:47:09 - mmengine - INFO - Epoch(train) [238][120/161] lr: 4.3789e-05 eta: 0:02:01 time: 0.3134 data_time: 0.0367 memory: 9707 grad_norm: 0.6172 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0207 loss: 0.0207 2022/08/05 18:47:15 - mmengine - INFO - Epoch(train) [238][140/161] lr: 3.9110e-05 eta: 0:01:55 time: 0.3160 data_time: 0.0392 memory: 9707 grad_norm: 0.5920 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0302 loss: 0.0302 2022/08/05 18:47:21 - mmengine - INFO - Epoch(train) [238][160/161] lr: 3.4694e-05 eta: 0:01:48 time: 0.2909 data_time: 0.0341 memory: 9707 grad_norm: 0.5003 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0251 loss: 0.0251 2022/08/05 18:47:21 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:47:21 - mmengine - INFO - Epoch(train) [238][161/161] lr: 3.4481e-05 eta: 0:01:48 time: 0.2800 data_time: 0.0339 memory: 652 grad_norm: 0.7811 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2064 loss: 0.2064 2022/08/05 18:47:30 - mmengine - INFO - Epoch(train) [239][20/161] lr: 3.0343e-05 eta: 0:01:41 time: 0.4657 data_time: 0.1366 memory: 9707 grad_norm: 0.6232 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0246 loss: 0.0246 2022/08/05 18:47:37 - mmengine - INFO - Epoch(train) [239][40/161] lr: 2.6470e-05 eta: 0:01:34 time: 0.3154 data_time: 0.0437 memory: 9707 grad_norm: 0.4144 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0192 loss: 0.0192 2022/08/05 18:47:43 - mmengine - INFO - Epoch(train) [239][60/161] lr: 2.2861e-05 eta: 0:01:27 time: 0.3336 data_time: 0.0438 memory: 9707 grad_norm: 0.7287 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0303 loss: 0.0303 2022/08/05 18:47:50 - mmengine - INFO - Epoch(train) [239][80/161] lr: 1.9516e-05 eta: 0:01:21 time: 0.3204 data_time: 0.0402 memory: 9707 grad_norm: 0.6126 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0129 loss: 0.0129 2022/08/05 18:47:56 - mmengine - INFO - Epoch(train) [239][100/161] lr: 1.6436e-05 eta: 0:01:14 time: 0.3167 data_time: 0.0408 memory: 9707 grad_norm: 0.6464 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0240 loss: 0.0240 2022/08/05 18:48:03 - mmengine - INFO - Epoch(train) [239][120/161] lr: 1.3620e-05 eta: 0:01:07 time: 0.3245 data_time: 0.0465 memory: 9707 grad_norm: 0.5072 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0216 loss: 0.0216 2022/08/05 18:48:09 - mmengine - INFO - Epoch(train) [239][140/161] lr: 1.1069e-05 eta: 0:01:01 time: 0.3152 data_time: 0.0415 memory: 9707 grad_norm: 0.5697 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0251 loss: 0.0251 2022/08/05 18:48:15 - mmengine - INFO - Epoch(train) [239][160/161] lr: 8.7814e-06 eta: 0:00:54 time: 0.2924 data_time: 0.0370 memory: 9707 grad_norm: 0.4757 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0181 loss: 0.0181 2022/08/05 18:48:15 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:48:15 - mmengine - INFO - Epoch(train) [239][161/161] lr: 8.6740e-06 eta: 0:00:54 time: 0.2829 data_time: 0.0385 memory: 652 grad_norm: 0.7805 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 0.2124 loss: 0.2124 2022/08/05 18:48:24 - mmengine - INFO - Epoch(train) [240][20/161] lr: 6.6645e-06 eta: 0:00:47 time: 0.4712 data_time: 0.1616 memory: 9707 grad_norm: 0.5909 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0137 loss: 0.0137 2022/08/05 18:48:31 - mmengine - INFO - Epoch(train) [240][40/161] lr: 4.9194e-06 eta: 0:00:40 time: 0.3139 data_time: 0.0392 memory: 9707 grad_norm: 0.6337 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0157 loss: 0.0157 2022/08/05 18:48:37 - mmengine - INFO - Epoch(train) [240][60/161] lr: 3.4387e-06 eta: 0:00:33 time: 0.3210 data_time: 0.0424 memory: 9707 grad_norm: 0.5700 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0252 loss: 0.0252 2022/08/05 18:48:44 - mmengine - INFO - Epoch(train) [240][80/161] lr: 2.2224e-06 eta: 0:00:27 time: 0.3218 data_time: 0.0431 memory: 9707 grad_norm: 0.7088 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0252 loss: 0.0252 2022/08/05 18:48:50 - mmengine - INFO - Epoch(train) [240][100/161] lr: 1.2705e-06 eta: 0:00:20 time: 0.3162 data_time: 0.0454 memory: 9707 grad_norm: 0.6601 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0266 loss: 0.0266 2022/08/05 18:48:56 - mmengine - INFO - Epoch(train) [240][120/161] lr: 5.8303e-07 eta: 0:00:13 time: 0.3154 data_time: 0.0383 memory: 9707 grad_norm: 0.6133 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0233 loss: 0.0233 2022/08/05 18:49:03 - mmengine - INFO - Epoch(train) [240][140/161] lr: 1.5997e-07 eta: 0:00:07 time: 0.3208 data_time: 0.0407 memory: 9707 grad_norm: 0.5992 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0300 loss: 0.0300 2022/08/05 18:49:08 - mmengine - INFO - Epoch(train) [240][160/161] lr: 1.3221e-09 eta: 0:00:00 time: 0.2926 data_time: 0.0355 memory: 9707 grad_norm: 0.5409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0163 loss: 0.0163 2022/08/05 18:49:09 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_gym_limb_20220805_150302 2022/08/05 18:49:09 - mmengine - INFO - Epoch(train) [240][161/161] lr: 3.3052e-10 eta: 0:00:00 time: 0.2827 data_time: 0.0368 memory: 652 grad_norm: 0.8519 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1366 loss: 0.1366 2022/08/05 18:49:09 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/08/05 18:49:20 - mmengine - INFO - Epoch(val) [240][20/67] eta: 0:00:19 time: 0.4211 data_time: 0.2377 memory: 1868 2022/08/05 18:49:26 - mmengine - INFO - Epoch(val) [240][40/67] eta: 0:00:08 time: 0.3020 data_time: 0.1244 memory: 1868 2022/08/05 18:49:30 - mmengine - INFO - Epoch(val) [240][60/67] eta: 0:00:01 time: 0.2016 data_time: 0.0686 memory: 1868 2022/08/05 18:49:31 - mmengine - INFO - Epoch(val) [240][67/67] acc/top1: 0.9484 acc/top5: 0.9974 acc/mean1: 0.9266